From 236f71ea0506cce8de2ed99adaff29ed38718782 Mon Sep 17 00:00:00 2001
From: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Date: Thu, 18 Sep 2025 14:48:16 +0800
Subject: [PATCH 01/76] [None][chore] Add failed cases into waives.txt (#7801)

Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
---
 tests/integration/test_lists/waives.txt | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 4ce04721f7c..7b730758453 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -346,3 +346,7 @@ accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp8_chunked_pref
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5522746)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-tp2pp2-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5522746)
 test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-image-False] SKIP (https://nvbugs/5523925)
+test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-image-False] SKIP (https://nvbugs/5509024)
+test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-False] SKIP (https://nvbugs/5509024)
+test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-True] SKIP (https://nvbugs/5509024)
+test_e2e.py::test_trtllm_multimodal_benchmark_serving SKIP (https://nvbugs/5523315)

From 2ae08bd1b846acb17e6be667639f7fcf4427f86c Mon Sep 17 00:00:00 2001
From: dongfengy <99041270+dongfengy@users.noreply.github.com>
Date: Thu, 18 Sep 2025 01:01:53 -0700
Subject: [PATCH 02/76] [https://nvbugs/5519530][fix] Fix gptoss 2-gpu test
 (#7819)

Signed-off-by: Dongfeng Yu <dongfengy@nvidia.com>
---
 tests/integration/defs/accuracy/test_llm_api_pytorch.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index eb5f6e98b0a..3e5a84012a8 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -3270,6 +3270,8 @@ def test_w4_2gpus(self, kv_cache_dtype, moe_backend, tp_size, pp_size,
             model_name = "GPT-OSS/MXFP4"
             task = GSM8K(model_name)
             mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN", 8192)
+            mocker.patch.dict(GSM8K.EVALUATE_KWARGS,
+                              {"scores_filter": "exact_match,flexible-extract"})
             task.evaluate(llm,
                           extra_evaluator_kwargs=self.extra_evaluator_kwargs)
 

From a7ca0fff54e171f56a919265abc3238c0f506e63 Mon Sep 17 00:00:00 2001
From: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Date: Thu, 18 Sep 2025 16:26:20 +0800
Subject: [PATCH 03/76] [TRTLLM-6577][feat] Support nano_v2_vlm in pytorch
 backend (#7207)

Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
---
 .github/CODEOWNERS                            |   2 +
 cpp/kernels/fmha_v2/setup.py                  |   4 +-
 .../cubin/fmha_cubin.h                        |  53 +-
 docs/source/models/supported-models.md        |   1 +
 tensorrt_llm/_torch/models/__init__.py        |   2 +
 .../_torch/models/modeling_nanov2vlm.py       | 458 +++++++++
 tensorrt_llm/_torch/models/modeling_radio.py  | 903 ++++++++++++++++++
 tensorrt_llm/commands/eval.py                 |   9 +-
 .../defs/accuracy/references/mmmu.yaml        |   2 +
 .../defs/accuracy/test_llm_api_pytorch.py     |  23 +
 tests/integration/defs/test_e2e.py            |  28 +
 .../test_lists/qa/llm_function_core.txt       |   1 +
 12 files changed, 1474 insertions(+), 12 deletions(-)
 create mode 100644 tensorrt_llm/_torch/models/modeling_nanov2vlm.py
 create mode 100644 tensorrt_llm/_torch/models/modeling_radio.py

diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
index 28f29c3b152..4c619e62b32 100644
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -100,6 +100,8 @@
 /tests/unittest/_torch/modeling/test_modeling_pixtral.py @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
 
 ### TensorRT-LLM Pytorch - Models - Nemotron
+/tensorrt_llm/_torch/models/modeling_nanov2vlm.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_radio.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
 /tensorrt_llm/_torch/models/modeling_nemotron_nas.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
 /tensorrt_llm/_torch/models/modeling_nemotron_h.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
 /tensorrt_llm/_torch/models/modeling_nemotron_nas.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
diff --git a/cpp/kernels/fmha_v2/setup.py b/cpp/kernels/fmha_v2/setup.py
index 24a80b8d713..ced8c67764b 100644
--- a/cpp/kernels/fmha_v2/setup.py
+++ b/cpp/kernels/fmha_v2/setup.py
@@ -1982,8 +1982,8 @@ def selected_mask_types(kspec):
             custom_mask = '0'
         # encoder models (head_size = 32 / 64 / 128) need packed_qkv input layout + padding mask.
         elif kspec.input_layout == InputLayout.PACKED_QKV:
-            # NOTE: 72 is added for vision transformer
-            if kspec.head_size not in [32, 64, 72, 128]:
+            # NOTE: 72/80 are added for vision transformer
+            if kspec.head_size not in [32, 64, 72, 80, 128]:
                 padding_mask = '0'
         # only cross attention (head_size = 32/64/128) needs contiguous_q_kv input layout + padding mask / custom_mask.
         elif kspec.input_layout == InputLayout.CONTIGUOUS_Q_KV:
diff --git a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h
index 0c2f3aed72b..4d0731ce426 100644
--- a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h
+++ b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h
@@ -49,7 +49,6 @@ extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_
 extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin[];
 extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_alibi_tma_ws_sm90_cu_cubin[];
 extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sage_64_64_256_output_bf16_tma_ws_sm90_cu_cubin[];
 extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin[];
 extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin[];
 extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin[];
@@ -261,7 +260,7 @@ extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_tma_ws_sm90
 extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
+extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
@@ -282,7 +281,8 @@ extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_alibi_tma_w
 extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_sage_64_64_256_output_bf16_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
+extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
+extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
 extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
@@ -1354,7 +1354,6 @@ extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_w
 extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len;
 extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len;
 extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sage_64_64_256_output_bf16_tma_ws_sm90_cu_cubin_len;
 extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len;
 extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len;
 extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len;
@@ -1645,6 +1644,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
@@ -1772,6 +1772,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
@@ -1899,6 +1900,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
+{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90_kernel", 196864, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
@@ -1973,8 +1975,8 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_softcapping_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90},
+{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90},
+{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_causal_alibi_tma_ws_sm90_kernel", 82304, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_alibi_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_alibi_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_alibi_tma_ws_sm90},
@@ -1997,8 +1999,10 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_alibi_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_alibi_tma_ws_sm90},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 256, 80, 80, 64, 64, 256, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_sage_64_64_256_output_bf16_tma_ws_sm90_kernel", 196864, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_sage_64_64_256_output_bf16_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 256, 128, 128, 64, 64, 256, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sage_64_64_256_output_bf16_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sage_64_64_256_output_bf16_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sage_64_64_256_output_bf16_tma_ws_sm90_kernel", 196864, 384, 64, 0, 0, false, true, true, true, false, false, false, false, nullptr},
+{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90},
+{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90},
+{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90},
+{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_softmax_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
@@ -2017,6 +2021,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
@@ -2147,6 +2152,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
@@ -2190,6 +2196,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
@@ -2241,6 +2248,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
@@ -2284,6 +2292,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
@@ -2335,6 +2344,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
@@ -2378,6 +2388,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
@@ -2453,6 +2464,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
+{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
@@ -2530,6 +2542,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
@@ -2573,6 +2586,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
@@ -2732,6 +2746,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
@@ -2775,6 +2790,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
@@ -2934,6 +2950,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
@@ -2977,6 +2994,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
@@ -3139,6 +3157,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
@@ -3182,6 +3201,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
@@ -3341,6 +3361,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
@@ -3384,6 +3405,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
@@ -3543,6 +3565,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
@@ -3586,6 +3609,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
@@ -3748,6 +3772,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
@@ -3791,6 +3816,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
@@ -3950,6 +3976,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
@@ -3993,6 +4020,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
@@ -4152,6 +4180,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
@@ -4195,6 +4224,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
@@ -4363,6 +4393,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
@@ -4406,6 +4437,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
@@ -4565,6 +4597,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
@@ -4608,6 +4641,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
+{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
@@ -4790,6 +4824,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl},
+{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
@@ -4869,6 +4904,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
@@ -4912,6 +4948,7 @@ static const struct FusedMultiHeadAttentionKernelMetaInfoV2
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
+{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
 { DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
diff --git a/docs/source/models/supported-models.md b/docs/source/models/supported-models.md
index aac729a9545..c3979aa61e1 100644
--- a/docs/source/models/supported-models.md
+++ b/docs/source/models/supported-models.md
@@ -51,6 +51,7 @@ Note: Support for other models may vary. Features marked "N/A" are not applicabl
 | LlavaNextForConditionalGeneration  | Yes               | Yes        | No              | Yes           | Yes              | No             | Yes                   | No                        | L + I    |
 | Llama4ForConditionalGeneration     | Yes               | Yes        | No              | Yes           | Yes              | No             | Yes                   | No                        | L + I    |
 | Mistral3ForConditionalGeneration   | Yes               | Yes        | Yes             | Yes           | Yes              | Yes            | Yes                   | No                        | L + I    |
+| NemotronH_Nano_VL_V2               | Yes               | Yes        | Yes             | Yes           | Yes              | No             | Yes                   | No                        | L + I + V |
 | Phi4MMForCausalLM                  | Yes               | Yes        | No              | Yes           | Yes              | No             | Yes                   | No                        | L + I + A |
 | Qwen2VLForConditionalGeneration    | Yes               | Yes        | No              | Yes           | Yes              | Yes            | Yes                   | No                        | L + I + V |
 | Qwen2_5_VLForConditionalGeneration | Yes               | Yes        | No              | Yes           | Yes              | Yes            | Yes                   | No                        | L + I + V |
diff --git a/tensorrt_llm/_torch/models/__init__.py b/tensorrt_llm/_torch/models/__init__.py
index 4f7aa39330e..ae413741f0f 100644
--- a/tensorrt_llm/_torch/models/__init__.py
+++ b/tensorrt_llm/_torch/models/__init__.py
@@ -14,6 +14,7 @@
 from .modeling_llava_next import LlavaNextModel
 from .modeling_mistral import Mistral3VLM, MistralForCausalLM
 from .modeling_mixtral import MixtralForCausalLM
+from .modeling_nanov2vlm import NemotronH_Nano_VL_V2
 from .modeling_nemotron import NemotronForCausalLM
 from .modeling_nemotron_h import NemotronHForCausalLM
 from .modeling_nemotron_nas import NemotronNASForCausalLM
@@ -45,6 +46,7 @@
     "Mistral3VLM",
     "MistralForCausalLM",
     "MixtralForCausalLM",
+    "NemotronH_Nano_VL_V2",
     "NemotronForCausalLM",
     "NemotronHForCausalLM",
     "NemotronNASForCausalLM",
diff --git a/tensorrt_llm/_torch/models/modeling_nanov2vlm.py b/tensorrt_llm/_torch/models/modeling_nanov2vlm.py
new file mode 100644
index 00000000000..c3fc27da4c0
--- /dev/null
+++ b/tensorrt_llm/_torch/models/modeling_nanov2vlm.py
@@ -0,0 +1,458 @@
+# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
+import copy
+import os
+from typing import List, Optional, Tuple
+
+import torch
+import torch.nn as nn
+import transformers
+from PIL import Image
+
+from tensorrt_llm._torch.models.checkpoints import NemotronHHfWeightMapper
+from tensorrt_llm.inputs.multimodal import MultimodalParams
+
+from ...inputs import (BaseMultimodalInputProcessor, ExtraProcessedInputs,
+                       InputProcessor, MultimodalPlaceholderMetadata,
+                       MultimodalPlaceholderPlacement, TextPrompt,
+                       register_input_processor)
+from ...logger import logger
+from ...sampling_params import SamplingParams
+from ..attention_backend import AttentionMetadata
+from ..model_config import ModelConfig
+from .modeling_auto import AutoModelForCausalLM
+from .modeling_multimodal_utils import find_input_mm_embeds, fuse_input_embeds
+from .modeling_radio import RADIOVisionModel
+from .modeling_utils import register_auto_model
+
+
+# Make this a runtime lookup rather than a module-wide constant for easier unit testing.
+def _is_disagg() -> bool:
+    return os.getenv("TLLM_MULTIMODAL_DISAGGREGATED", "0") == "1"
+
+
+class SquaredReLU(nn.Module):
+
+    def forward(self, x):
+        return torch.pow(torch.nn.functional.relu(x), 2)
+
+
+# Source codes are from NemotronH_Nano_VL_V2 modeling.py.
+class NanoV2VLVisionEncoder(transformers.PreTrainedModel):
+
+    def __init__(self,
+                 model_config: ModelConfig[transformers.PretrainedConfig]):
+        config = model_config.pretrained_config
+        super().__init__(config)
+        self.image_size = config.force_image_size
+        self.patch_size = config.patch_size
+        self.num_image_token = int((self.image_size // self.patch_size)**2 *
+                                   (config.downsample_ratio**2))
+        self.downsample_ratio = config.downsample_ratio
+        self.ps_version = config.ps_version  # Pixel shuffle version.
+
+        # Construct the vision projection.
+        self.vit_hidden_size = config.vit_hidden_size
+        self.vision_projection_hidden_size = config.projector_hidden_size
+        self.llm_hidden_size = config.llm_config.hidden_size
+        self.mlp1 = nn.Sequential(
+            nn.RMSNorm(self.vit_hidden_size * int(1 / self.downsample_ratio)**2,
+                       eps=config.llm_config.rms_norm_eps,
+                       dtype=config.torch_dtype),
+            nn.Linear(self.vit_hidden_size * int(1 / self.downsample_ratio)**2,
+                      self.vision_projection_hidden_size,
+                      bias=False,
+                      dtype=config.torch_dtype), SquaredReLU(),
+            nn.Linear(self.vision_projection_hidden_size,
+                      self.llm_hidden_size,
+                      bias=False,
+                      dtype=config.torch_dtype))
+
+        # Construct the vision encoder.
+        vision_model_config = copy.deepcopy(model_config)
+        vision_model_config.pretrained_config = vision_model_config.pretrained_config.vision_config
+        self.vision_model = RADIOVisionModel(vision_model_config)
+
+    def load_weights(self, weights):
+        # Load mlp1 weights.
+        mlp1_weights = {
+            k.replace('mlp1.', ''): v
+            for k, v in weights.items() if k.startswith('mlp1.')
+        }
+        self.mlp1.load_state_dict(mlp1_weights, strict=True)
+
+        # Load vision encoder weights.
+        vision_encoder_weights = {
+            k.replace('vision_model.', ''): v
+            for k, v in weights.items() if k.startswith('vision_model.')
+        }
+        self.vision_model.load_weights(vision_encoder_weights)
+
+    @torch.compile
+    def pixel_shuffle(self, x, scale_factor=0.5):
+        n, w, h, c = x.size()
+        # N, W, H, C --> N, W, H * scale, C // scale
+        x = x.view(n, w, int(h * scale_factor), int(c / scale_factor))
+        # N, W, H * scale, C // scale --> N, H * scale, W, C // scale
+        x = x.permute(0, 2, 1, 3).contiguous()
+        # N, H * scale, W, C // scale --> N, H * scale, W * scale, C // (scale ** 2)
+        x = x.view(n, int(h * scale_factor), int(w * scale_factor),
+                   int(c / (scale_factor * scale_factor)))
+        if self.ps_version == 'v1':
+            logger.warning(
+                "In ps_version 'v1', the height and width have not been swapped back, "
+                'which results in a transposed image.')
+        else:
+            x = x.permute(0, 2, 1, 3).contiguous()
+        return x
+
+    def extract_feature(self, pixel_values):
+        vit_embeds = self.vision_model(pixel_values)
+        # Down-sampling and projection.
+        h = w = int(vit_embeds.shape[1]**0.5)
+        vit_embeds = vit_embeds.reshape(vit_embeds.shape[0], h, w, -1)
+        vit_embeds = self.pixel_shuffle(vit_embeds,
+                                        scale_factor=self.downsample_ratio)
+        vit_embeds = vit_embeds.reshape(vit_embeds.shape[0], -1,
+                                        vit_embeds.shape[-1])
+        vit_embeds = self.mlp1(vit_embeds)
+        return vit_embeds
+
+    def forward(self, multimodal_params: List[MultimodalParams]):
+        mm_embedding = []
+        # Batch data.
+        pixel_values = [
+            multimodal_param.multimodal_data["pixel_values"]
+            for multimodal_param in multimodal_params
+        ]
+        batched_pixel_values = torch.cat(pixel_values, dim=0)
+        # -> [num_patches, channel, height, width]
+        patch_list = [
+            multimodal_param.multimodal_data["num_patches"]
+            for multimodal_param in multimodal_params
+        ]
+        batched_num_patches = torch.cat(patch_list, dim=0).tolist()
+        # -> list of[num_patches1, num_patches2, ...]
+        batched_image_embeds = self.extract_feature(batched_pixel_values)
+        # -> [num_patches, num_image_token, hidden_size]
+        mm_embedding = torch.split(batched_image_embeds,
+                                   batched_num_patches,
+                                   dim=0)
+        mm_embedding = [
+            m.reshape(-1, self.llm_hidden_size) for m in mm_embedding
+        ]
+        # -> list of [num_patches*num_image_token, hidden_size]
+        return mm_embedding
+
+
+class NanoV2VLInputProcessor(BaseMultimodalInputProcessor, InputProcessor):
+
+    def __init__(self,
+                 model_path: str,
+                 model_config: transformers.PretrainedConfig,
+                 tokenizer: transformers.AutoTokenizer,
+                 trust_remote_code: bool = True):
+        if not trust_remote_code:
+            raise ValueError("trust_remote_code must be True for NanoV2VL")
+
+        self.model_config = model_config
+        self.image_size = model_config.force_image_size
+        self.patch_size = model_config.patch_size
+        self.downsample_ratio = model_config.downsample_ratio
+        self.img_context_token_id = model_config.img_context_token_id
+        self.num_image_token = int((self.image_size // self.patch_size)**2 *
+                                   (self.downsample_ratio**2))
+
+        self.device = 'cpu'
+
+        self.tokenizer = tokenizer
+        self.use_fast = True
+        if self.tokenizer is None:
+            self.tokenizer = transformers.AutoTokenizer.from_pretrained(
+                model_path, trust_remote_code=True, use_fast=self.use_fast)
+
+        self.processor = transformers.AutoImageProcessor.from_pretrained(
+            model_path, trust_remote_code=True, use_fast=self.use_fast)
+
+        self.img_context_token = model_config.img_context_token
+        self.video_context_token = model_config.video_context_token
+        self.img_start_token = model_config.img_start_token
+        self.img_end_token = model_config.img_end_token
+        self.dtype = model_config.torch_dtype
+
+    def get_vocab_size(self):
+        return self.model_config.llm_config.vocab_size
+
+    def get_mm_token_ids(self):
+        return torch.tensor([self.img_context_token_id], dtype=torch.int32)
+
+    def get_num_tokens_per_image(
+        self,
+        *,
+        image: Image.Image,
+        **kwargs,
+    ):
+
+        def _get_internvl_target_ratios(
+            min_num: int,
+            max_num: int,
+        ) -> list[tuple[int, int]]:
+            target_ratios = {(i, j)
+                             for n in range(min_num, max_num + 1)
+                             for i in range(1, n + 1)
+                             for j in range(1, n + 1)
+                             if min_num <= i * j <= max_num}
+            return sorted(target_ratios, key=lambda x: x[0] * x[1])
+
+        def _find_closest_aspect_ratio(aspect_ratio, target_ratios, width,
+                                       height, image_size):
+            best_factor = float('-inf')
+            best_ratio = (1, 1)
+            area = width * height
+            for ratio in target_ratios:
+                target_aspect_ratio = ratio[0] / ratio[1]
+                factor_based_on_area_n_ratio = min(
+                    (ratio[0] * ratio[1] * image_size * image_size) / area,
+                    0.6) * min(target_aspect_ratio / aspect_ratio,
+                               aspect_ratio / target_aspect_ratio)
+                if factor_based_on_area_n_ratio > best_factor:
+                    best_factor = factor_based_on_area_n_ratio
+                    best_ratio = ratio
+            return best_ratio
+
+        def _calculate_targets(
+            orig_width: int,
+            orig_height: int,
+            target_ratios: list[tuple[int, int]],
+            image_size: int,
+        ) -> int:
+            aspect_ratio = orig_width / orig_height
+
+            # find the closest aspect ratio to the target
+            target_aspect_ratio = _find_closest_aspect_ratio(
+                aspect_ratio,
+                target_ratios,
+                width=orig_width,
+                height=orig_height,
+                image_size=image_size,
+            )
+            blocks = target_aspect_ratio[0] * target_aspect_ratio[1]
+
+            return blocks
+
+        image_height = image.height
+        image_width = image.width
+        target_ratios = _get_internvl_target_ratios(
+            1, self.processor.max_num_tiles)
+        blocks = _calculate_targets(image_width, image_height, target_ratios,
+                                    self.image_size)
+        if self.processor.use_thumbnail and blocks != 1:
+            blocks += 1
+        num_image_tokens = self.num_image_token * blocks
+        return num_image_tokens
+
+    @torch.inference_mode()
+    def __call__(
+        self, inputs: TextPrompt, sampling_params: SamplingParams
+    ) -> Tuple[List[int], Optional[ExtraProcessedInputs]]:
+        text_prompt, mm_data = inputs.get("prompt"), inputs.get(
+            "multi_modal_data", {})
+        images = mm_data.get("image", None)
+        videos = mm_data.get("video", None)
+        if images is not None and videos is not None:
+            raise ValueError(
+                "NanoV2VL does not support both images and videos in the same prompt yet."
+            )
+
+        if images is None and videos is None:
+            input_ids = self.tokenizer.encode(text_prompt,
+                                              add_special_tokens=False,
+                                              return_tensors="pt")
+            return input_ids[0].to(torch.int32).tolist(), {}
+
+        if images is not None:
+            if isinstance(images[0], torch.Tensor):
+                # NanoV2VL can only support PIL images. Convert normalized tensors (0-1) to PIL images (0-255).
+                images = [
+                    Image.fromarray((image.permute(1, 2, 0) * 255).to(
+                        torch.uint8).cpu().numpy()) for image in images
+                ]
+            # Processing for multimodal data.
+            processed_images = self.processor(images=images,
+                                              return_tensors='pt').to(
+                                                  self.device)
+            # Insert enough special tokens for image embedding.
+            parts = text_prompt.split(self.img_context_token)
+            if len(parts) - 1 != len(processed_images['num_patches']):
+                raise ValueError(
+                    f"Number of {self.img_context_token} tokens ({len(parts) - 1}) doesn't match num_patches_list length ({len(processed_images['num_patches'])})"
+                )
+            processed_query = parts[0]
+            for num_patches, part in zip(processed_images['num_patches'],
+                                         parts[1:]):
+                feature_size = num_patches * self.num_image_token
+                image_repl = self.img_start_token + self.img_context_token * feature_size + self.img_end_token
+                processed_query += image_repl + part
+        elif videos is not None:
+            num_videos = len(videos)
+            num_patches_list = []
+            pixel_values_list = []
+            parts = text_prompt.split(self.video_context_token)
+            if len(parts) - 1 != num_videos:
+                raise ValueError(
+                    f"Number of {self.video_context_token} tokens ({len(parts) - 1}) doesn't match number of videos ({num_videos})"
+                )
+            # Process videos one by one to get correct processed_query.
+            processed_query = ""
+            for video_index, video in enumerate(videos):
+                if isinstance(video[0], torch.Tensor):
+                    # NanoV2VL can only support PIL images. Convert normalized tensors (0-1) to PIL images (0-255).
+                    images = [
+                        Image.fromarray((image.permute(1, 2, 0) * 255).to(
+                            torch.uint8).cpu().numpy()) for image in video
+                    ]
+                else:
+                    images = video
+                # Processing for multimodal data.
+                processed_images = self.processor(images=images,
+                                                  return_tensors='pt').to(
+                                                      self.device)
+                num_patches_list.append(processed_images['num_patches'])
+                pixel_values_list.append(processed_images['pixel_values'])
+
+                # Processing the text prompt.
+                processed_query += parts[video_index]
+                for num_patches in processed_images['num_patches']:
+                    feature_size = num_patches * self.num_image_token
+                    image_repl = self.img_start_token + self.img_context_token * feature_size + self.img_end_token
+                    processed_query += image_repl
+            processed_query += parts[num_videos]
+            processed_images['num_patches'] = torch.tensor(
+                [sum(num_patches) for num_patches in num_patches_list])
+            processed_images['pixel_values'] = torch.cat(pixel_values_list,
+                                                         dim=0)
+
+        input_ids = self.tokenizer.encode(processed_query,
+                                          add_special_tokens=False,
+                                          return_tensors="pt")
+
+        # Will package inputs for language model forward in AGGREGATE mode.
+        multimodal_data = {}
+        multimodal_data['pixel_values'] = processed_images['pixel_values'].to(
+            self.dtype)
+        multimodal_data['num_patches'] = processed_images['num_patches'].sum(
+            dim=0, keepdim=True)
+        return input_ids[0].to(torch.int32).tolist(), {
+            "multimodal_data": multimodal_data,
+        }
+
+
+@register_auto_model("NemotronH_Nano_VL_V2")
+@register_input_processor(
+    NanoV2VLInputProcessor,
+    model_type="NemotronH_Nano_VL_V2",
+    placeholder_metadata=MultimodalPlaceholderMetadata(
+        placeholder_map={
+            "image": "<image>",
+            "video": "<video>",
+        },
+        placeholder_placement=MultimodalPlaceholderPlacement.BEFORE_TEXT,
+        placeholders_separator="",
+    ))
+class NemotronH_Nano_VL_V2(transformers.PreTrainedModel):
+
+    _supports_flash_attn_2 = True
+
+    def __init__(self, model_config: ModelConfig):
+        if _is_disagg():
+            raise ValueError(
+                "NanoV2VL does not support disaggregated inference yet.")
+
+        config = model_config.pretrained_config
+        super().__init__(config)
+
+        self.model_config = model_config
+        if hasattr(self, "llm"):
+            return
+
+        if not _is_disagg():
+            self.vision_encoder = NanoV2VLVisionEncoder(model_config).eval()
+
+        llm_model_config = copy.deepcopy(model_config)
+        llm_model_config.pretrained_config = llm_model_config.pretrained_config.llm_config
+        self.llm = AutoModelForCausalLM.from_config(llm_model_config)
+
+        self.vocab_size = llm_model_config.pretrained_config.vocab_size
+        self.model_dtype = getattr(config, "torch_dtype", torch.bfloat16)
+        self.img_context_token_id = config.img_context_token_id
+        self.post_config()
+        self.is_loaded = True
+
+    def load_weights(self, weights):
+        # Load vision encoder weights.
+        self.vision_encoder.load_weights(weights)
+
+        # Load language model weights.
+        filtered_weights = {
+            k.replace('language_model.', ''): v
+            for k, v in weights.items() if k.startswith('language_model.')
+        }
+        weight_mapper = NemotronHHfWeightMapper()
+        weight_mapper.init_model_and_config(self.llm, self.model_config)
+        self.llm.load_weights(filtered_weights, weight_mapper=weight_mapper)
+
+    def infer_max_seq_len(self) -> int:
+        return self.llm.infer_max_seq_len()
+
+    def post_config(self):
+        # use llm.config as config for pytorch model engine
+        self.config = self.llm.config
+        self.model_config.pretrained_config = self.llm.config
+
+    @torch.inference_mode()
+    def forward(
+        self,
+        attn_metadata: AttentionMetadata,
+        input_ids: Optional[torch.LongTensor] = None,
+        position_ids: Optional[torch.LongTensor] = None,
+        input_embeds: Optional[torch.Tensor] = None,
+        return_context_logits: bool = False,
+        **kwargs,
+    ) -> torch.Tensor:
+        """
+        VLM forward logic with inflight batching support.
+        """
+        num_context_requests, num_generation_requests = attn_metadata.num_contexts, attn_metadata.num_generations
+        logger.debug(
+            f"num_context_requests: {num_context_requests}, num_generation_requests: {num_generation_requests}"
+        )
+
+        multimodal_params = kwargs.get("multimodal_params", [])
+        mm_embedding = []
+        if len(multimodal_params) > 0:
+            if not _is_disagg():
+                mm_embedding = self.vision_encoder(multimodal_params)
+            else:
+                raise NotImplementedError(
+                    "Nano-V2-VLM does not support disaggregated inference yet. Please unset "
+                    f"the TLLM_MULTIMODAL_DISAGGREGATED environment variable, or set it to '0'."
+                )
+            mm_embedding = find_input_mm_embeds(
+                mm_embedding, multimodal_params[:num_context_requests])
+        input_ids, input_embeds = fuse_input_embeds(
+            self.llm.model.embed_tokens,
+            input_ids,
+            mm_embedding,
+            mm_token_ids=torch.tensor([self.img_context_token_id],
+                                      dtype=torch.int32),
+        )
+        output_prob = self.llm.forward(
+            attn_metadata=attn_metadata,
+            input_ids=input_ids,
+            position_ids=position_ids,
+            inputs_embeds=input_embeds,
+            return_context_logits=return_context_logits,
+            lora_params=kwargs.get("lora_params", None),
+        )
+
+        logger.debug(f'output shape: {output_prob.shape}')
+        return output_prob
diff --git a/tensorrt_llm/_torch/models/modeling_radio.py b/tensorrt_llm/_torch/models/modeling_radio.py
new file mode 100644
index 00000000000..70878d2b60e
--- /dev/null
+++ b/tensorrt_llm/_torch/models/modeling_radio.py
@@ -0,0 +1,903 @@
+# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
+# Note: The code is to extract image embedding from RADIO model, to support Nano v2 VLM.
+# TODO: Check and add more compatible logic for the full-series RADIO model.
+
+import math
+from collections import namedtuple
+from typing import (Dict, Iterable, List, Literal, NamedTuple, Optional, Tuple,
+                    Type, Union)
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+from einops import rearrange
+from transformers import PretrainedConfig, PreTrainedModel
+
+from tensorrt_llm._torch import model_config as model_config_lib
+from tensorrt_llm._torch.attention_backend import AttentionMetadata
+from tensorrt_llm._torch.attention_backend import \
+    interface as attention_interface
+from tensorrt_llm._torch.attention_backend import utils as attention_utils
+from tensorrt_llm._torch.models import modeling_utils
+from tensorrt_llm._torch.modules import attention as trtllm_attention
+from tensorrt_llm._torch.modules import mlp as trtllm_mlp
+
+InputDimT = Union[int, Tuple[int, int]]
+
+
+class VITTIMMConfig(NamedTuple):
+    embed_dim: int
+    depth: int
+    num_attention_heads: int
+    intermediate_size: int
+    img_size: int
+
+
+class Resolution(NamedTuple):
+    height: int
+    width: int
+
+
+# Modified from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/extra_timm_models.py
+VIT_TIMM_CONFIG_BY_NAME: dict[str, VITTIMMConfig] = {
+    "vit_huge_patch16_224": VITTIMMConfig(1280, 32, 16, 5120, 224),
+    # Add more configs here if needed.
+}
+
+
+class ClsToken(nn.Module):
+    """Modified from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/cls_token.py."""
+
+    def __init__(
+        self,
+        ndim: int,
+        num_tokens: int = 1,
+        enabled: bool = True,
+        register_multiple: Optional[int] = None,
+        num_registers: Optional[int] = None,
+    ):
+        super().__init__()
+
+        self.ndim = ndim
+        self.enabled = enabled
+        self.num_registers = 0
+        self.num_tokens = num_tokens
+        if enabled:
+            if num_registers:
+                self.num_registers = num_registers
+            elif register_multiple:
+                self.num_registers = register_multiple - (num_tokens %
+                                                          register_multiple)
+            scale = ndim**-0.5
+            self.token = nn.Parameter(
+                torch.randn(num_tokens + self.num_registers, ndim) * scale)
+        else:
+            self.token = None
+        self.num_patches = self.num_tokens + self.num_registers
+
+    def forward(self, x: torch.Tensor):
+        if self.token is None:
+            return x
+        token = self.token.unsqueeze(0).expand(x.shape[0], -1, -1)
+        x = torch.cat([token, x], dim=1)
+        return x
+
+
+class ViTPatchGenerator(nn.Module):
+    """Modified from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/vit_patch_generator.py."""
+
+    def __init__(
+        self,
+        patch_size: int,
+        embed_dim: int,
+        input_dims: InputDimT,
+        abs_pos: bool = True,
+        normalize_patches: bool = False,
+        cls_token: bool = False,
+        max_input_dims: Optional[InputDimT] = None,
+        pos_dropout: float = 0.0,
+        num_cls_tokens: int = 1,
+        register_multiple: Optional[int] = None,
+        num_registers: Optional[int] = None,
+        patch_bias: bool = False,
+    ):
+        super().__init__()
+
+        if isinstance(input_dims, int):
+            input_dims = (input_dims, input_dims)
+
+        if max_input_dims is None:
+            max_input_dims = input_dims
+        if isinstance(max_input_dims, int):
+            max_input_dims = (max_input_dims, max_input_dims)
+
+        max_input_dims = tuple(
+            int(math.ceil(d / patch_size) * patch_size) for d in max_input_dims)
+
+        self.cpe_mode = max_input_dims != input_dims
+        self.pos_dropout = pos_dropout
+        self.patch_size = patch_size
+        self.abs_pos = abs_pos
+        self.embed_dim = embed_dim
+        self.num_rows = max_input_dims[0] // patch_size
+        self.num_cols = max_input_dims[1] // patch_size
+        self.input_dims = tuple(d // patch_size for d in input_dims)
+        self.num_patches = self.num_rows * self.num_cols
+        self.max_input_dims = max_input_dims
+
+        self.im_to_patches = Im2Patches(patch_size)
+        self.embedder = ViTPatchLinear(patch_size, embed_dim, bias=patch_bias)
+        self.pos_embed = None
+        if abs_pos:
+            scale = embed_dim**-0.5
+            self.pos_embed = nn.Parameter(
+                torch.randn(1, self.num_patches, embed_dim) * scale)
+        self.cls_token = ClsToken(
+            embed_dim,
+            num_tokens=num_cls_tokens,
+            enabled=cls_token,
+            register_multiple=register_multiple,
+            num_registers=num_registers,
+        )
+        self.patch_normalizer = nn.LayerNorm(
+            embed_dim) if normalize_patches else nn.Identity()
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        patches = self.embed_patches(x)
+        patches, pos_enc = self.apply_pos_enc(patches, input_size=x.shape[2:])
+        patches = self.cls_token(patches)
+        patches = self.patch_normalizer(patches)
+        return patches
+
+    @property
+    def num_cls_tokens(self):
+        return self.cls_token.num_tokens
+
+    @property
+    def num_registers(self):
+        return self.cls_token.num_registers
+
+    @property
+    def num_skip(self):
+        return self.num_cls_tokens + self.num_registers
+
+    def embed_patches(self, x: torch.Tensor) -> torch.Tensor:
+        patches = self.im_to_patches(x)
+        patches = self.embedder(patches)
+        return patches
+
+    def apply_pos_enc(
+        self,
+        patches: torch.Tensor,
+        patch_idxs: Optional[torch.Tensor] = None,
+        input_size: Optional[Tuple[int, int]] = None,
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        if not self.abs_pos:
+            return patches
+
+        pos_enc = self.get_pos_enc(patch_idxs, input_size)
+        return patches + pos_enc, pos_enc
+
+    def get_pos_enc(
+        self,
+        patch_idxs: Optional[torch.Tensor] = None,
+        input_size: Optional[Tuple[int, int]] = None,
+    ) -> torch.Tensor:
+        if input_size is None:
+            input_dims = self.input_dims
+        else:
+            input_dims = tuple(d // self.patch_size for d in input_size)
+        pos_embed = self._get_pos_embeddings(input_dims)
+        if patch_idxs is None:
+            return pos_embed
+
+        exp_patch_idxs = patch_idxs.unsqueeze(-1).expand(
+            -1, -1, pos_embed.shape[-1])
+        pos_embed = torch.gather(pos_embed.expand(patch_idxs.shape[0], -1, -1),
+                                 dim=1,
+                                 index=exp_patch_idxs)
+        return pos_embed
+
+    def _get_pos_embeddings(self, input_dims: Tuple[int, int]):
+        if (self.num_rows, self.num_cols) == input_dims:
+            return self.pos_embed
+
+        pos_embed = self.pos_embed.reshape(1, self.num_rows, self.num_cols,
+                                           -1).permute(0, 3, 1, 2)
+
+        def window_select(pos_embed):
+            if input_dims[0] < pos_embed.shape[-2]:
+                pos_embed = pos_embed[..., :input_dims[0], :]
+            if input_dims[1] < pos_embed.shape[-1]:
+                pos_embed = pos_embed[..., :, :input_dims[1]]
+            return pos_embed
+
+        if self.cpe_mode:
+            max_dim = max(input_dims)
+            pos_embed = F.interpolate(pos_embed.float(),
+                                      size=(max_dim, max_dim),
+                                      align_corners=True,
+                                      mode='bilinear').to(pos_embed.dtype)
+            pos_embed = window_select(pos_embed)
+        else:
+            pos_embed = window_select(pos_embed)
+
+        if pos_embed.shape[-2:] != input_dims:
+            pos_embed = F.interpolate(pos_embed.float(),
+                                      size=input_dims,
+                                      align_corners=True,
+                                      mode='bilinear').to(pos_embed.dtype)
+
+        pos_embed = pos_embed.flatten(2).permute(0, 2, 1)
+        return pos_embed
+
+
+class Im2Patches(nn.Module):
+    """Modified from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/vit_patch_generator.py."""
+
+    def __init__(self, patch_size: int):
+        super().__init__()
+        self.patch_size = patch_size
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        if self.patch_size == 1:
+            patches = x.flatten(2)
+            patches = patches.permute(0, 2, 1)
+            return patches
+
+        py = x.shape[-2] // self.patch_size
+        px = x.shape[-1] // self.patch_size
+        patches = rearrange(
+            x,
+            'b c (py yy) (px xx) -> b (py px) (c yy xx)',
+            py=py,
+            yy=self.patch_size,
+            px=px,
+            xx=self.patch_size,
+        )
+        return patches
+
+
+class ViTPatchLinear(nn.Linear):
+    """Modified from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/vit_patch_generator.py."""
+
+    def __init__(
+        self,
+        patch_size: int,
+        embed_dim: int,
+        bias: bool = False,
+    ):
+        super().__init__(3 * (patch_size**2), embed_dim, bias=bias)
+        self.patch_size = patch_size
+
+
+class Block(nn.Module):
+    """Transformer block with pre-normalization.
+
+    Modified from https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/vision_transformer.py
+    Use trtllm_attn and trtllm_mlp to replace original attention and mlp layers.
+    """
+
+    def __init__(
+        self,
+        dim: int,
+        num_heads: int,
+        mlp_ratio: float = 4.,
+        qkv_bias: bool = False,
+        qk_norm: bool = False,
+        scale_attn_norm: bool = False,
+        scale_mlp_norm: bool = False,
+        proj_bias: bool = True,
+        proj_drop: float = 0.,
+        attn_drop: float = 0.,
+        init_values: Optional[float] = None,
+        drop_path: float = 0.,
+        act_layer: Type[nn.Module] = nn.GELU,
+        norm_layer: Type[nn.Module] = nn.LayerNorm,
+        layer_idx: Optional[int] = None,
+        model_config: model_config_lib.ModelConfig[PretrainedConfig] = None,
+    ) -> None:
+        """Initialize Block.
+
+        Args:
+            dim: Number of input channels.
+            num_heads: Number of attention heads.
+            mlp_ratio: Ratio of mlp hidden dim to embedding dim.
+            qkv_bias: If True, add a learnable bias to query, key, value.
+            qk_norm: If True, apply normalization to query and key.
+            scale_attn_norm: Enable scaling for attention norm if True.
+            scale_mlp_norm: Enable scaling for mlp norm if True.
+            proj_bias: If True, add bias to output projection.
+            proj_drop: Projection dropout rate.
+            attn_drop: Attention dropout rate.
+            init_values: Initial values for layer scale.
+            drop_path: Stochastic depth rate.
+            act_layer: Activation layer.
+            norm_layer: Normalization layer.
+            layer_idx: Layer index.
+            model_config: Model configuration.
+        """
+        super().__init__()
+        self.model_config = model_config
+        self.norm1 = norm_layer(dim)
+
+        if qk_norm:
+            raise NotImplementedError(
+                "Limited RADIO model support: Block does not support qk_norm for now."
+            )
+
+        self.attn = trtllm_attention.Attention(
+            hidden_size=dim,
+            num_attention_heads=num_heads,
+            num_key_value_heads=num_heads,
+            max_position_embeddings=None,
+            bias=qkv_bias,
+            pos_embd_params=None,
+            rope_fusion=None,
+            layer_idx=layer_idx,
+            dtype=self.model_config.torch_dtype,
+            dense_bias=proj_bias,
+            config=self.model_config,
+            q_scaling=1.0,
+            attention_chunk_size=None,
+        )
+        if init_values:
+            raise NotImplementedError(
+                "Limited RADIO model support: Block does not support LayerScale for now."
+            )
+        self.ls1 = nn.Identity()
+        if drop_path > 0.:
+            raise NotImplementedError(
+                "Limited RADIO model support: Block does not support DropPath for now."
+            )
+        self.drop_path1 = nn.Identity()
+        if scale_mlp_norm:
+            raise NotImplementedError(
+                "Limited RADIO model support: Block does not support scale_mlp_norm for now."
+            )
+        if proj_drop > 0.:
+            raise NotImplementedError(
+                "Limited RADIO model support: Block does not support proj_drop for now."
+            )
+        self.norm2 = norm_layer(dim)
+
+        self.mlp = trtllm_mlp.MLP(
+            hidden_size=dim,
+            intermediate_size=int(dim * mlp_ratio),
+            bias=proj_bias,
+            activation=nn.GELU(),
+            dtype=self.model_config.torch_dtype,
+            config=self.model_config,
+            layer_idx=layer_idx,
+        )
+        self.ls2 = nn.Identity()
+        self.drop_path2 = nn.Identity()
+
+    def forward(
+        self,
+        x: torch.Tensor,
+        attn_mask: Optional[torch.Tensor] = None,
+        attn_metadata: Optional[attention_interface.AttentionMetadata] = None
+    ) -> torch.Tensor:
+        residual = x
+        x = self.norm1(x)
+        x = self.attn(
+            position_ids=None,
+            hidden_states=x,
+            attn_metadata=attn_metadata,
+            attention_mask=attention_interface.PredefinedAttentionMask.FULL,
+        )
+        x = self.ls1(x)
+        x = self.drop_path1(x)
+        x = residual + x
+
+        residual = x
+        x = self.norm2(x)
+        x = self.mlp(x)
+        x = self.ls2(x)
+        x = self.drop_path2(x)
+        x = residual + x
+        return x
+
+
+class VisionTransformer(nn.Module):
+    """ Vision Transformer.
+
+    Modified from https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/vision_transformer.py.
+    """
+
+    def __init__(
+        self,
+        img_size: int = 224,
+        patch_size: int = 16,
+        in_chans: int = 3,
+        num_classes: int = 1000,
+        global_pool: Literal['', 'avg', 'avgmax', 'max', 'token',
+                             'map'] = 'token',
+        embed_dim: int = 768,
+        depth: int = 12,
+        num_heads: int = 12,
+        mlp_ratio: float = 4.,
+        qkv_bias: bool = True,
+        qk_norm: bool = False,
+        scale_attn_norm: bool = False,
+        scale_mlp_norm: bool = False,
+        proj_bias: bool = True,
+        init_values: Optional[float] = None,
+        class_token: bool = True,
+        pos_embed: str = 'learn',
+        no_embed_class: bool = False,
+        reg_tokens: int = 0,
+        pre_norm: bool = False,
+        final_norm: bool = True,
+        fc_norm: Optional[bool] = None,
+        drop_rate: float = 0.,
+        proj_drop_rate: float = 0.,
+        attn_drop_rate: float = 0.,
+        drop_path_rate: float = 0.,
+        norm_layer: Optional[nn.Module] = None,
+        act_layer: Optional[nn.Module] = None,
+        cpe_max_size: Optional[int] = None,
+        special_args: Optional[dict] = None,
+        model_config: model_config_lib.ModelConfig[PretrainedConfig] = None,
+        **kwargs,
+    ) -> None:
+        """
+        Args:
+            img_size: Input image size.
+            patch_size: Patch size.
+            in_chans: Number of image input channels.
+            num_classes: Number of classes for classification head.
+            global_pool: Type of global pooling for final sequence (default: 'token').
+            embed_dim: Transformer embedding dimension.
+            depth: Depth of transformer.
+            num_heads: Number of attention heads.
+            mlp_ratio: Ratio of mlp hidden dim to embedding dim.
+            qkv_bias: Enable bias for qkv projections if True.
+            qk_norm: Enable normalization for qk projections if True.
+            scale_attn_norm: Enable scaling for attention norm if True.
+            scale_mlp_norm: Enable scaling for mlp norm if True.
+            proj_bias: Enable bias for projection.
+            init_values: Layer-scale init values (layer-scale enabled if not None).
+            class_token: Use class token.
+            no_embed_class: Don't include position embeddings for class (or reg) tokens.
+            reg_tokens: Number of register tokens.
+            pre_norm: Enable norm after embeddings, before transformer blocks (standard in CLIP ViT).
+            final_norm: Enable norm after transformer blocks, before head (standard in most ViT).
+            fc_norm: Move final norm after pool (instead of before), if None, enabled when global_pool == 'avg'.
+            drop_rate: Head dropout rate.
+            proj_drop_rate: Projection dropout rate.
+            attn_drop_rate: Attention dropout rate.
+            drop_path_rate: Stochastic depth rate.
+            norm_layer: Normalization layer.
+            act_layer: MLP activation layer.
+            cpe_max_size: Maximum size for CPE.
+            special_args: Special arguments in PretrainedConfig.
+            model_config: Model configuration.
+            **kwargs: Additional keyword arguments, to store unused arguments.
+        """
+        super().__init__()
+        if not (class_token or global_pool != 'token'):
+            raise ValueError(
+                "Class token must be used with global_pool == 'token'")
+        if pos_embed not in ('', 'none', 'learn'):
+            raise ValueError(
+                f"Invalid pos_embed: {pos_embed} while the accepted values are '', 'none', 'learn'."
+            )
+        use_fc_norm = global_pool in ('avg', 'avgmax',
+                                      'max') if fc_norm is None else fc_norm
+
+        if norm_layer is not None or act_layer is not None:
+            raise ValueError(
+                f"We assume to use default norm_layer and act_layer, while getting {norm_layer=} {act_layer=}."
+            )
+        norm_layer = nn.LayerNorm
+        act_layer = nn.GELU
+
+        self.model_config = model_config
+        self.config = model_config.pretrained_config
+        self.config.num_key_value_heads = num_heads
+
+        self.num_classes = num_classes
+        self.global_pool = global_pool
+        self.num_features = self.head_hidden_size = self.embed_dim = embed_dim
+        self.num_prefix_tokens = 1 if class_token else 0
+        self.num_prefix_tokens += reg_tokens
+        self.num_reg_tokens = reg_tokens
+        self.has_class_token = class_token
+        self.no_embed_class = no_embed_class
+
+        self.patch_drop = nn.Identity()
+        self.norm_pre = norm_layer(embed_dim) if pre_norm else nn.Identity()
+
+        # Stochastic depth decay rule.
+        dpr = [x.item() for x in torch.linspace(0, drop_path_rate, depth)]
+        self.blocks = nn.ModuleList([
+            Block(
+                dim=embed_dim,
+                num_heads=num_heads,
+                mlp_ratio=mlp_ratio,
+                qkv_bias=qkv_bias,
+                qk_norm=qk_norm,
+                scale_attn_norm=scale_attn_norm,
+                scale_mlp_norm=scale_mlp_norm,
+                proj_bias=proj_bias,
+                init_values=init_values,
+                proj_drop=proj_drop_rate,
+                attn_drop=attn_drop_rate,
+                drop_path=dpr[i],
+                norm_layer=norm_layer,
+                act_layer=act_layer,
+                model_config=model_config,
+                layer_idx=i,
+            ) for i in range(depth)
+        ])
+        self.norm = norm_layer(
+            embed_dim) if final_norm and not use_fc_norm else nn.Identity()
+
+        # Initialize classifier head but not used for RADIO embedding models.
+        self.attn_pool = None
+        self.fc_norm = norm_layer(
+            embed_dim) if final_norm and use_fc_norm else nn.Identity()
+        self.head_drop = nn.Dropout(drop_rate)
+        self.head = nn.Linear(
+            self.embed_dim, num_classes) if num_classes > 0 else nn.Identity()
+
+        uq_teachers = set(t['name'] for t in special_args.teachers)
+        patch_size = patch_size
+        embed_dim = self.embed_dim
+        input_dims = img_size
+        normalize_patches = False
+
+        max_img_size = int(
+            round(special_args.cpe_max_size / patch_size) * patch_size)
+        pos_dropout = 0.1
+        num_cls_tokens = len(
+            uq_teachers) if special_args.cls_token_per_teacher else 1
+        register_multiple = getattr(special_args, 'register_multiple', None)
+        num_registers = getattr(special_args, 'cpe_num_registers', None)
+
+        self.patch_generator = ViTPatchGenerator(
+            patch_size=patch_size,
+            embed_dim=embed_dim,
+            input_dims=input_dims,
+            normalize_patches=normalize_patches,
+            cls_token=class_token,
+            max_input_dims=max_img_size,
+            pos_dropout=pos_dropout,
+            num_cls_tokens=num_cls_tokens,
+            register_multiple=register_multiple,
+            num_registers=num_registers,
+        )
+        self.patch_embed = None
+        self.cls_token = None
+        self.pos_embed = None
+        self.pos_drop = None
+        self.patch_size = patch_size
+        self.num_cls_tokens = num_cls_tokens
+        self.num_registers = self.patch_generator.num_registers
+
+        self.metadata_cls = attention_utils.get_attention_backend(
+            model_config.attn_backend).Metadata
+        self.attn_metadata = self.metadata_cls(
+            max_num_requests=8192,  # TODO: Make this dynamic
+            max_num_tokens=model_config.max_num_tokens,
+            kv_cache_manager=None,
+        )
+
+    def prepare_attn_metadata(self, batch_size: int, seq_lengths: List[int],
+                              attn_metadata: AttentionMetadata):
+        """
+        To simplify the usage of the model, this function aims to fill the metadata for Attention
+        Call this function before forward pass
+        """
+        prompt_lens = seq_lengths
+        seq_lens = torch.tensor(seq_lengths, dtype=torch.int, pin_memory=True)
+        request_ids = list(range(1, batch_size + 1))
+
+        attn_metadata.seq_lens = seq_lens
+        attn_metadata.num_contexts = batch_size
+        attn_metadata.request_ids = request_ids
+        attn_metadata.prompt_lens = prompt_lens
+        attn_metadata.max_seq_len = seq_lens.max().item()
+
+        attn_metadata.prepare()
+        return attn_metadata
+
+    def forward_features(self, x: torch.Tensor) -> torch.Tensor:
+        """Forward pass through feature layers (embeddings, transformer blocks, post-transformer norm)."""
+        x = self.patch_generator(x)
+
+        batch_size, seq_len, hidden_size = x.shape
+        seq_lengths = [seq_len] * batch_size
+        attn_metadata = self.prepare_attn_metadata(batch_size, seq_lengths,
+                                                   self.attn_metadata)
+        # Need flatten batch/seq_len for trtllm attention.
+        x = x.reshape(batch_size * seq_len, hidden_size)
+        for block in self.blocks:
+            x = block(x, attn_metadata=attn_metadata)
+        x = x.reshape(batch_size, seq_len, hidden_size)
+
+        x = self.norm(x)
+        return x
+
+
+class RADIOVisionModelBase(nn.Module):
+    """Modify from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/radio_model.py"""
+
+    def __init__(
+        self,
+        model: nn.Module,
+        input_conditioner: nn.Module,
+        patch_size: int,
+        max_resolution: int,
+        preferred_resolution: Resolution,
+        window_size: int = None,
+        adaptors: Optional[Dict[str, nn.Module]] = None,
+        feature_normalizer: Optional[nn.Module] = None,
+        inter_feature_normalizer: Optional[nn.Module] = None,
+        model_config: model_config_lib.ModelConfig[PretrainedConfig] = None,
+    ):
+        super().__init__()
+
+        self.model = model
+        self.input_conditioner = input_conditioner
+
+        self._preferred_resolution = preferred_resolution
+        self._patch_size = patch_size
+        self._max_resolution = max_resolution
+        self._window_size = window_size
+
+        adaptors = adaptors or dict()
+        self.adaptors = nn.ModuleDict(adaptors)
+
+        if feature_normalizer is None:
+            feature_normalizer = nn.Identity()
+        self.feature_normalizer = feature_normalizer
+        self.inter_feature_normalizer = inter_feature_normalizer
+        self.model_config = model_config
+
+    @property
+    def num_cls_tokens(self) -> int:
+        if hasattr(self.model, 'num_cls_tokens'):
+            return self.model.num_cls_tokens
+
+        patch_gen = getattr(self.model, 'patch_generator', None)
+        if patch_gen is not None:
+            return patch_gen.num_cls_tokens
+        elif getattr(self.model, 'global_pool', None) == 'avg':
+            return 0
+        return 1
+
+    @property
+    def patch_size(self) -> int:
+        if self._patch_size is not None:
+            return self._patch_size
+        if hasattr(self.model, "patch_size"):
+            return self.model.patch_size
+        patch_gen = getattr(self.model, "patch_generator", None)
+        if patch_gen is not None:
+            return patch_gen.patch_size
+        return None
+
+    @property
+    def max_resolution(self) -> int:
+        return self._max_resolution
+
+    @property
+    def preferred_resolution(self) -> Resolution:
+        return self._preferred_resolution
+
+    @property
+    def window_size(self) -> int:
+        return self._window_size
+
+    @property
+    def min_resolution_step(self) -> int:
+        res = self.patch_size
+        if self.window_size is not None:
+            res *= self.window_size
+        return res
+
+    @property
+    def blocks(self) -> Iterable[nn.Module]:
+        blocks = getattr(self.model, 'blocks', None)
+        if blocks is not None:
+            return blocks
+        return None
+
+    @property
+    def embed_dim(self) -> int:
+        return self.model.embed_dim
+
+    def get_nearest_supported_resolution(self, height: int,
+                                         width: int) -> Resolution:
+        height = int(
+            round(height / self.min_resolution_step) * self.min_resolution_step)
+        width = int(
+            round(width / self.min_resolution_step) * self.min_resolution_step)
+        height = max(height, self.min_resolution_step)
+        width = max(width, self.min_resolution_step)
+        return Resolution(height=height, width=width)
+
+    def forward(self,
+                x: torch.Tensor,
+                feature_fmt: str = 'NLC') -> torch.Tensor:
+        res_step = self.min_resolution_step
+        if res_step is not None and (x.shape[-2] % res_step != 0
+                                     or x.shape[-1] % res_step != 0):
+            raise ValueError(
+                'The input resolution must be a multiple of `self.min_resolution_step`. '
+                '`self.get_nearest_supported_resolution(<height>, <width>) is provided as a convenience API. '
+                f'Input: {x.shape[-2:]}, Nearest: {self.get_nearest_supported_resolution(*x.shape[-2:])}'
+            )
+        x = self.input_conditioner(x)
+        y = self.model.forward_features(x)
+        ret = self._extract_final(x, y, feature_fmt=feature_fmt)
+        return ret
+
+    def _extract_final(self,
+                       x: torch.Tensor,
+                       y: torch.Tensor,
+                       feature_fmt: str = 'NLC'):
+        if isinstance(self.model, VisionTransformer):
+            patch_gen = getattr(self.model, "patch_generator", None)
+            if patch_gen is not None:
+                all_feat = y[:, patch_gen.num_skip:]
+            elif self.model.global_pool == "avg":
+                all_feat = y
+            else:
+                all_feat = y[:, 1:]
+        else:
+            raise ValueError(f'Unsupported model type: {type(self.model)}')
+
+        all_feat = self.feature_normalizer(all_feat)
+
+        if feature_fmt == 'NCHW':
+            fmt_feat = (all_feat.reshape(all_feat.shape[0],
+                                         x.shape[-2] // self.patch_size,
+                                         x.shape[-1] // self.patch_size,
+                                         all_feat.shape[2]).permute(0, 3, 1, 2))
+        elif feature_fmt == 'NLC':
+            fmt_feat = all_feat
+        else:
+            raise ValueError(
+                f'Unsupported feature_fmt: {feature_fmt}. Must be one of ["NLC", "NCHW"]'
+            )
+        return fmt_feat
+
+
+class RADIOVisionModel(PreTrainedModel):
+    """Modify from https://huggingface.co/nvidia/C-RADIOv2-H/blob/main/hf_model.py."""
+
+    def __init__(self, model_config: model_config_lib.ModelConfig):
+        """
+        Args:
+            model_config: Model configuration.
+        """
+        config = model_config.pretrained_config
+        super().__init__(config)
+        self.model_config = model_config
+        self.config = config
+
+        RADIOArgs = namedtuple("RADIOArgs", config.args.keys())
+        args = RADIOArgs(**config.args)
+        # Get ViT model config.
+        model_name = args.model
+        intermediate_size = VIT_TIMM_CONFIG_BY_NAME[
+            model_name].intermediate_size
+        embed_dim = VIT_TIMM_CONFIG_BY_NAME[model_name].embed_dim
+        depth = VIT_TIMM_CONFIG_BY_NAME[model_name].depth
+        num_attention_heads = VIT_TIMM_CONFIG_BY_NAME[
+            model_name].num_attention_heads
+        img_size = VIT_TIMM_CONFIG_BY_NAME[model_name].img_size
+        mlp_ratio = intermediate_size / embed_dim
+
+        # Build the model.
+        in_chans = 3
+        if args.in_chans is not None:
+            in_chans = args.in_chans
+        elif args.input_size is not None:
+            in_chans = args.input_size[0]
+        vit_model = VisionTransformer(
+            img_size=img_size,
+            patch_size=config.patch_size,
+            in_chans=in_chans,
+            embed_dim=embed_dim,
+            depth=depth,
+            num_heads=num_attention_heads,
+            mlp_ratio=mlp_ratio,
+            drop_rate=args.drop,
+            special_args=args,
+            model_config=model_config,
+        )
+        if hasattr(vit_model,
+                   'norm') and not getattr(args, 'model_norm', False):
+            vit_model.norm = nn.Identity()
+        vit_model.head = nn.Identity()
+        vit_model.to(dtype=config.torch_dtype)
+
+        # Note: image normalization is in image_processor, so the input_conditioner is Identity.
+        input_conditioner = nn.Identity()
+        input_conditioner.dtype = config.torch_dtype
+
+        adaptor_names = config.adaptor_names or []
+        if len(adaptor_names) > 0:
+            raise ValueError(
+                "Adaptor names are not supported for RADIO models.")
+        adaptors = dict()
+
+        feature_normalizer = None
+        if config.feature_normalizer_config is not None:
+            raise ValueError(
+                "Feature normalizer is not supported for RADIO models.")
+
+        inter_feature_normalizer = None
+        if config.inter_feature_normalizer_config is not None:
+            raise ValueError(
+                "Intermediate feature normalizer is not supported for RADIO models."
+            )
+
+        self.radio_model = RADIOVisionModelBase(
+            vit_model,
+            input_conditioner,
+            patch_size=config.patch_size,
+            max_resolution=config.max_resolution,
+            window_size=config.vitdet_window_size,
+            preferred_resolution=config.preferred_resolution,
+            adaptors=adaptors,
+            feature_normalizer=feature_normalizer,
+            inter_feature_normalizer=inter_feature_normalizer,
+            model_config=model_config,
+        )
+
+    def load_weights(self, weights):
+        # Load radio_model weights for pytorch modules.
+        filter_weights = {
+            k.replace('radio_model.', ''): v
+            for k, v in weights.items() if k.startswith('radio_model.')
+        }
+        missing_keys, unexpected_keys = self.radio_model.load_state_dict(
+            filter_weights, strict=False)
+        # Check missing and unexpected keys.
+        # The input conditioner is not initialized in current implementation.
+        unexpected_keys.remove("input_conditioner.norm_mean")
+        unexpected_keys.remove("input_conditioner.norm_std")
+        # Partial model.blocks weights will loaded in the following step.
+        for m in missing_keys:
+            if not m.startswith('model.blocks.'):
+                raise ValueError(f"Missing key: {m}")
+        for u in unexpected_keys:
+            if not u.startswith('model.blocks.'):
+                raise ValueError(f"Unexpected key: {u}")
+
+        # Load weights for vision transformer module.
+        model_weights = {
+            k.replace('radio_model.model.', ''): v
+            for k, v in weights.items() if k.startswith('radio_model.model.')
+        }
+        converted_weights = dict()
+        for name in model_weights:
+            # Handle with weights and bias for vision transformer's qkv projection.
+            if "attn.qkv." in name:
+                q_name = name.replace("attn.qkv.", "attn.q_proj.")
+                k_name = name.replace("attn.qkv.", "attn.k_proj.")
+                v_name = name.replace("attn.qkv.", "attn.v_proj.")
+                dim_shape = model_weights[name].shape[0] // 3
+                converted_weights[q_name] = model_weights[name][:dim_shape]
+                converted_weights[k_name] = model_weights[name][dim_shape:2 *
+                                                                dim_shape]
+                converted_weights[v_name] = model_weights[name][2 * dim_shape:]
+            else:
+                converted_weights[name] = model_weights[name]
+        pattern_mapping = {
+            r'(.*?)attn.proj.(.*)': r'\1attn.o_proj.\2',
+            r'(.*?)mlp.fc1.(.*)': r'\1mlp.up_proj.\2',
+            r'(.*?)mlp.fc2.(.*)': r'\1mlp.down_proj.\2',
+        }
+        modeling_utils._load_weights_impl(self.radio_model.model,
+                                          converted_weights,
+                                          params_map=pattern_mapping)
+
+    def forward(self, x: torch.Tensor):
+        return self.radio_model.forward(x)
diff --git a/tensorrt_llm/commands/eval.py b/tensorrt_llm/commands/eval.py
index 32f4a420864..18f602215b1 100644
--- a/tensorrt_llm/commands/eval.py
+++ b/tensorrt_llm/commands/eval.py
@@ -95,13 +95,17 @@
               type=str,
               default=None,
               help="Path to a YAML file that overwrites the parameters")
+@click.option("--disable_kv_cache_reuse",
+              is_flag=True,
+              default=False,
+              help="Flag for disabling KV cache reuse.")
 @click.pass_context
 def main(ctx, model: str, tokenizer: Optional[str], log_level: str,
          backend: str, max_beam_width: int, max_batch_size: int,
          max_num_tokens: int, max_seq_len: int, tp_size: int, pp_size: int,
          ep_size: Optional[int], gpus_per_node: Optional[int],
          kv_cache_free_gpu_memory_fraction: float, trust_remote_code: bool,
-         extra_llm_api_options: Optional[str]):
+         extra_llm_api_options: Optional[str], disable_kv_cache_reuse: bool):
     logger.set_level(log_level)
     build_config = BuildConfig(max_batch_size=max_batch_size,
                                max_num_tokens=max_num_tokens,
@@ -109,7 +113,8 @@ def main(ctx, model: str, tokenizer: Optional[str], log_level: str,
                                max_seq_len=max_seq_len)
 
     kv_cache_config = KvCacheConfig(
-        free_gpu_memory_fraction=kv_cache_free_gpu_memory_fraction)
+        free_gpu_memory_fraction=kv_cache_free_gpu_memory_fraction,
+        enable_block_reuse=not disable_kv_cache_reuse)
 
     if backend == "tensorrt":
         backend = None
diff --git a/tests/integration/defs/accuracy/references/mmmu.yaml b/tests/integration/defs/accuracy/references/mmmu.yaml
index 6edc728210b..b9dc7c11d71 100644
--- a/tests/integration/defs/accuracy/references/mmmu.yaml
+++ b/tests/integration/defs/accuracy/references/mmmu.yaml
@@ -1,2 +1,4 @@
 Qwen/Qwen2-VL-7B-Instruct:
   - accuracy: 48.44
+nvidia/Nano-v2-VLM:
+  - accuracy: 43.78
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index 3e5a84012a8..c416bb49744 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -3327,3 +3327,26 @@ def test_auto_dtype_tp4(self):
             task.evaluate(llm)
             task = MMLU(self.MODEL_NAME)
             task.evaluate(llm)
+
+
+class TestNano_V2_VLM(LlmapiAccuracyTestHarness):
+    MODEL_NAME = "nvidia/Nano-v2-VLM"
+    MODEL_PATH = f"{llm_models_root()}/Nano-v2-VLM"
+    MAX_NUM_TOKENS = 25600
+
+    # NOTE: MMMU adds <|endoftext|> to the stop token.
+    sampling_params = SamplingParams(max_tokens=MAX_NUM_TOKENS,
+                                     truncate_prompt_tokens=MMMU.MAX_INPUT_LEN,
+                                     stop="<|endoftext|>")
+
+    kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.8,
+                                    enable_block_reuse=False)
+
+    @pytest.mark.skip(reason="Nano V2 VLM ckpt is not released yet.")
+    def test_auto_dtype(self):
+        with LLM(self.MODEL_PATH,
+                 max_batch_size=128,
+                 max_num_tokens=self.MAX_NUM_TOKENS,
+                 kv_cache_config=self.kv_cache_config) as llm:
+            task = MMMU(self.MODEL_NAME)
+            task.evaluate(llm, sampling_params=self.sampling_params)
diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py
index 9bdf4d29fcc..20489adcdc8 100644
--- a/tests/integration/defs/test_e2e.py
+++ b/tests/integration/defs/test_e2e.py
@@ -2354,6 +2354,10 @@ def test_ptp_quickstart_advanced_mixed_precision(llm_root, llm_venv):
                  "gemma/gemma-3-27b-it",
                  marks=(pytest.mark.skip_less_device_memory(80000),
                         skip_post_blackwell)),
+    pytest.param(
+        "Nano-v2-VLM",
+        "Nano-v2-VLM",
+        marks=pytest.mark.skip(reason="Nano V2 VLM ckpt is not released yet.")),
 ])
 def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
                                    modality, use_cuda_graph):
@@ -2400,6 +2404,23 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
     }
 
     expected_keywords = {
+        "Nano-v2-VLM": {
+            "image": [
+                ["natural", "ocean", "waves", "stormy", "overcast", "sea"],
+                ["mountain", "rock", "large", "clear", "blue", "sky"],
+                ["road", "lane", "vehicle", "bus", "cars", "traffic"],
+            ],
+            "video": [
+                [
+                    "person", "red", "dress", "walking", "street", "black",
+                    "leather", "jacket"
+                ],
+                ["space", "earth", "black", "frame", "city", "lights", "dark"],
+            ],
+            "mixture_text_image":
+            [["invented", "internet", "person", "people", "computers"],
+             ["large", "rock", "mountain", "center", "sky", "clear", "trees"]]
+        },
         "NVILA-8B-FP16": {
             "image": [
                 ["stormy", "ocean", "waves", "cloudy", "sunlight", "sky"],
@@ -2496,6 +2517,13 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
         cmd.append("--disable_kv_cache_reuse")
         cmd.append("--kv_cache_fraction=0.5")
         cmd.append("--max_seq_len=1024")
+    # Nano V2 VLM needs smaller max_batch_size to save memory.
+    # Also need to disable kv cache reuse for Nemotron-H architecture.
+    if model_name == "Nano-v2-VLM":
+        cmd.append("--max_batch_size=128")
+        cmd.append("--disable_kv_cache_reuse")
+        if modality == "video":
+            cmd.append("--max_num_tokens=20480")
 
     output = llm_venv.run_cmd(cmd, caller=check_output)
 
diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt
index 9e1764dc4ba..1d09e05d592 100644
--- a/tests/integration/test_lists/qa/llm_function_core.txt
+++ b/tests/integration/test_lists/qa/llm_function_core.txt
@@ -595,6 +595,7 @@ accuracy/test_llm_api_pytorch.py::TestPhi4::test_auto_dtype
 accuracy/test_llm_api_pytorch.py::TestPhi4::test_fp8
 accuracy/test_llm_api_pytorch.py::TestEXAONE4::test_auto_dtype
 accuracy/test_llm_api_pytorch.py::TestQwen2_VL_7B::test_auto_dtype
+accuracy/test_llm_api_pytorch.py::TestNano_V2_VLM::test_auto_dtype
 accuracy/test_disaggregated_serving.py::TestQwen3_8B::test_nixl_backend
 accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_nixl_backend
 accuracy/test_llm_api_pytorch.py::TestMistralNemo12B::test_auto_dtype

From a55251bf755f3cd24ccf63d96dd80dd551205582 Mon Sep 17 00:00:00 2001
From: Stefan Niebler <82932102+stnie@users.noreply.github.com>
Date: Thu, 18 Sep 2025 10:30:50 +0200
Subject: [PATCH 04/76] [None][fix] Add TP information in weight scale loading
 in WeightOnlyQuantLinearMethod (#7732)

Signed-off-by: Stefan Niebler <82932102+stnie@users.noreply.github.com>
---
 tensorrt_llm/_torch/modules/linear.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tensorrt_llm/_torch/modules/linear.py b/tensorrt_llm/_torch/modules/linear.py
index e2a33068675..196b9e46611 100644
--- a/tensorrt_llm/_torch/modules/linear.py
+++ b/tensorrt_llm/_torch/modules/linear.py
@@ -1297,7 +1297,10 @@ def load_weights_fused_qkv_linear(self, module: Linear,
 
         copy_weight(module.weight, fused_weight)
 
-        weight_scales = self.load_weight_scales(weights)
+        weight_scales = self.load_weight_scales(weights,
+                                                tp_size=module.tp_size,
+                                                tp_rank=module.tp_rank,
+                                                tp_mode=module.tp_mode)
 
         # Create concatenated weight scale tensor
         cat_weight_scale = torch.cat(weight_scales, dim=0)

From d909f80379c563cceb6e15c55c871a02c4f0f676 Mon Sep 17 00:00:00 2001
From: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Date: Thu, 18 Sep 2025 17:13:07 +0800
Subject: [PATCH 05/76] [TRTLLM-7250][fix] Add failed cases into waives.txt
 (#7807)

Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
---
 tests/integration/test_lists/waives.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 7b730758453..a0ca2e1ee56 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -350,3 +350,4 @@ test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-image-Fa
 test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-False] SKIP (https://nvbugs/5509024)
 test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-True] SKIP (https://nvbugs/5509024)
 test_e2e.py::test_trtllm_multimodal_benchmark_serving SKIP (https://nvbugs/5523315)
+accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=4] SKIP (https://nvbugs/5434320)

From fe104dc20d7dd27ae456c352a71ec0895d0528c3 Mon Sep 17 00:00:00 2001
From: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Date: Thu, 18 Sep 2025 17:37:16 +0800
Subject: [PATCH 06/76] [TRTLLM-7918][feat] Support kvcache reuse and chunk
 prefill for phi4mm (#7723)

Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
---
 docs/source/models/supported-models.md        |  2 +-
 .../models/modeling_multimodal_utils.py       |  7 ++-
 tensorrt_llm/_torch/models/modeling_phi4mm.py | 47 +++++++++++++-----
 tests/integration/defs/test_e2e.py            | 48 +++++++++++++++++--
 .../test_lists/qa/llm_function_core.txt       |  2 +
 5 files changed, 86 insertions(+), 20 deletions(-)

diff --git a/docs/source/models/supported-models.md b/docs/source/models/supported-models.md
index c3979aa61e1..85846974d1a 100644
--- a/docs/source/models/supported-models.md
+++ b/docs/source/models/supported-models.md
@@ -52,7 +52,7 @@ Note: Support for other models may vary. Features marked "N/A" are not applicabl
 | Llama4ForConditionalGeneration     | Yes               | Yes        | No              | Yes           | Yes              | No             | Yes                   | No                        | L + I    |
 | Mistral3ForConditionalGeneration   | Yes               | Yes        | Yes             | Yes           | Yes              | Yes            | Yes                   | No                        | L + I    |
 | NemotronH_Nano_VL_V2               | Yes               | Yes        | Yes             | Yes           | Yes              | No             | Yes                   | No                        | L + I + V |
-| Phi4MMForCausalLM                  | Yes               | Yes        | No              | Yes           | Yes              | No             | Yes                   | No                        | L + I + A |
+| Phi4MMForCausalLM                  | Yes               | Yes        | Yes             | Yes           | Yes              | Yes            | Yes                   | No                        | L + I + A |
 | Qwen2VLForConditionalGeneration    | Yes               | Yes        | No              | Yes           | Yes              | Yes            | Yes                   | No                        | L + I + V |
 | Qwen2_5_VLForConditionalGeneration | Yes               | Yes        | No              | Yes           | Yes              | Yes            | Yes                   | No                        | L + I + V |
 
diff --git a/tensorrt_llm/_torch/models/modeling_multimodal_utils.py b/tensorrt_llm/_torch/models/modeling_multimodal_utils.py
index a4a78679b03..bc0a99fcd31 100644
--- a/tensorrt_llm/_torch/models/modeling_multimodal_utils.py
+++ b/tensorrt_llm/_torch/models/modeling_multimodal_utils.py
@@ -17,7 +17,7 @@
 # and s2wrapper: https://github.com/bfshi/scaling_on_scales
 
 import math
-from typing import List, Optional, Tuple
+from typing import Any, Dict, List, Optional, Tuple
 
 import torch
 import torch.nn.functional as F
@@ -99,6 +99,7 @@ def _cache_multimodal_embeddings(
 def get_multimodal_embeddings(
     encoder_forward_fn,
     multimodal_params: List[MultimodalParams],
+    encoder_kwargs: Optional[Dict[str, Any]] = None,
 ) -> List[torch.Tensor]:
     """
     High-level utility to get multimodal embeddings from encoder or cached embeddings.
@@ -126,7 +127,9 @@ def get_multimodal_embeddings(
 
     # Step 2: Run encoder forward only on uncached parameters
     if uncached_multimodal_params:
-        encoder_outputs = encoder_forward_fn(uncached_multimodal_params)
+        kwargs = encoder_kwargs or {}
+        encoder_outputs = encoder_forward_fn(uncached_multimodal_params,
+                                             **kwargs)
 
         # TODO: support multiple multimodal modalities per request
         if len(encoder_outputs) > 1:
diff --git a/tensorrt_llm/_torch/models/modeling_phi4mm.py b/tensorrt_llm/_torch/models/modeling_phi4mm.py
index 38ee1eb1100..d5cafc16cfc 100644
--- a/tensorrt_llm/_torch/models/modeling_phi4mm.py
+++ b/tensorrt_llm/_torch/models/modeling_phi4mm.py
@@ -19,8 +19,8 @@
 from tensorrt_llm.inputs.multimodal import MultimodalParams
 
 from ...executor.request import LoRARequest
-from ...inputs import (ExtraProcessedInputs, InputProcessor,
-                       MultimodalPlaceholderMetadata,
+from ...inputs import (BaseMultimodalInputProcessor, ExtraProcessedInputs,
+                       InputProcessor, MultimodalPlaceholderMetadata,
                        MultimodalPlaceholderPlacement, TextPrompt,
                        register_input_processor)
 from ...logger import logger
@@ -29,7 +29,8 @@
 from ..attention_backend import AttentionMetadata
 from ..model_config import ModelConfig
 from .modeling_auto import AutoModelForCausalLM
-from .modeling_multimodal_utils import fuse_input_embeds
+from .modeling_multimodal_utils import (find_input_mm_embeds, fuse_input_embeds,
+                                        get_multimodal_embeddings)
 from .modeling_utils import register_auto_model
 
 # Special token ids from the original Phi-4-multimodal-instruct implementation
@@ -389,7 +390,7 @@ def forward(self, multimodal_params: List[MultimodalParams],
             return self._encoding_batch_request(multimodal_params, mm_token_ids)
 
 
-class Phi4MMInputProcessor(InputProcessor):
+class Phi4MMInputProcessor(BaseMultimodalInputProcessor, InputProcessor):
 
     def __init__(self,
                  model_path: str,
@@ -415,6 +416,20 @@ def __init__(self,
             trust_remote_code=trust_remote_code,
             use_fast=self.use_fast)
 
+    def get_mm_token_ids(self) -> Optional[torch.Tensor]:
+        return torch.tensor([_IMAGE_SPECIAL_TOKEN_ID, _AUDIO_SPECIAL_TOKEN_ID],
+                            dtype=torch.int32,
+                            device=self.device)
+
+    def get_num_tokens_per_image(
+        self,
+        *,
+        image: Image.Image,
+        **kwargs,
+    ):
+        data = self.processor.image_processor.preprocess(image)
+        return data["num_img_tokens"][0]
+
     @torch.inference_mode()
     def __call__(
         self, inputs: TextPrompt, sampling_params: SamplingParams
@@ -579,16 +594,22 @@ def forward(
         mm_embedding = []
         if len(multimodal_params) > 0:
             if not _is_disagg():
-                # Forward the multimodal data to HFPhi4MultimodalEncoder in AGGREGATE mode.
-                mm_embedding = self.hf_phi4mm_model(multimodal_params,
-                                                    self.mm_token_ids)
+                encoder_kwargs = {
+                    "mm_token_ids": self.mm_token_ids,
+                }
+                mm_embedding = get_multimodal_embeddings(
+                    encoder_forward_fn=self.hf_phi4mm_model.forward,
+                    multimodal_params=multimodal_params[:num_context_requests],
+                    encoder_kwargs=encoder_kwargs,
+                )
             else:
-                # Directly fetch the multimodal embedding for DISAGG mode.
-                # This path is not functional now. `multimodal_params` will be prepared in PyExecutor.
-                mm_embedding = [
-                    multimodal_param.multimodal_data["multimodal_embedding"]
-                    for multimodal_param in multimodal_params
-                ]
+                raise NotImplementedError(
+                    "Phi-4-multimodal does not support disaggregated inference yet. Please unset "
+                    f"the TLLM_MULTIMODAL_DISAGGREGATED environment variable, or set it to '0'."
+                )
+            mm_embedding = find_input_mm_embeds(
+                mm_embedding, multimodal_params[:num_context_requests])
+
         input_ids, input_embeds = fuse_input_embeds(
             self.llm.model.embed_tokens,
             input_ids,
diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py
index 20489adcdc8..a26f750db8b 100644
--- a/tests/integration/defs/test_e2e.py
+++ b/tests/integration/defs/test_e2e.py
@@ -2599,6 +2599,8 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
     [
         ("llava-v1.6-mistral-7b", "llava-v1.6-mistral-7b-hf", 0.8),
         ("qwen2.5-vl-7b-instruct", "Qwen2.5-VL-7B-Instruct", 0.8),
+        ("phi4-multimodal-instruct", "multimodals/Phi-4-multimodal-instruct",
+         0.8),
         pytest.param(
             "mistral-small-3.1-24b-instruct",
             "Mistral-Small-3.1-24B-Instruct-2503",
@@ -2617,7 +2619,8 @@ def test_ptp_quickstart_multimodal_kv_cache_reuse(llm_root, llm_venv,
         os.path.join(llm_models_root(), "multimodals", "test_data"))
     print(f"Accuracy test {model_name} {modality} mode with example inputs.")
     if modality == "video" and model_name in {
-            "llava-v1.6-mistral-7b", "mistral-small-3.1-24b-instruct"
+            "llava-v1.6-mistral-7b", "mistral-small-3.1-24b-instruct",
+            "phi4-multimodal-instruct"
     }:
         pytest.skip(f"Skipping video modality test for {model_name}")
 
@@ -2663,6 +2666,14 @@ def test_ptp_quickstart_multimodal_kv_cache_reuse(llm_root, llm_venv,
                 ],
             ] * num_same_requests,
         },
+        "phi4-multimodal-instruct": {
+            "image": [
+                [
+                    "image", "depicts", "natural", "environment", "ocean",
+                    "water", "waves", "sky"
+                ],
+            ] * num_same_requests,
+        },
     }
 
     cmd = [
@@ -2683,6 +2694,12 @@ def test_ptp_quickstart_multimodal_kv_cache_reuse(llm_root, llm_venv,
                       ] and modality == "video":
         cmd.append("--max_num_tokens=16384")
 
+    if model_name == "phi4-multimodal-instruct":
+        cmd.append("--max_seq_len=4096")
+        cmd.append("--load_lora")
+        cmd.append("--auto_model_name")
+        cmd.append("Phi4MMForCausalLM")
+
     output = llm_venv.run_cmd(cmd, caller=check_output)
     match_ratio = 4.0 / 5
     for prompt_output, prompt_keywords in zip(
@@ -2707,6 +2724,8 @@ def test_ptp_quickstart_multimodal_kv_cache_reuse(llm_root, llm_venv,
     [
         ("llava-v1.6-mistral-7b", "llava-v1.6-mistral-7b-hf", 0.8),
         ("qwen2.5-vl-7b-instruct", "Qwen2.5-VL-7B-Instruct", 0.8),
+        ("phi4-multimodal-instruct", "multimodals/Phi-4-multimodal-instruct",
+         0.8),
         pytest.param(
             "mistral-small-3.1-24b-instruct",
             "Mistral-Small-3.1-24B-Instruct-2503",
@@ -2725,10 +2744,10 @@ def test_ptp_quickstart_multimodal_chunked_prefill(llm_root, llm_venv,
         os.path.join(llm_models_root(), "multimodals", "test_data"))
     print(f"Accuracy test {model_name} {modality} mode with example inputs.")
     if modality == "video" and model_name in {
-            "llava-v1.6-mistral-7b", "mistral-small-3.1-24b-instruct"
+            "llava-v1.6-mistral-7b", "mistral-small-3.1-24b-instruct",
+            "phi4-multimodal-instruct"
     }:
-        pytest.skip("Skipping video modality test for llava-v1.6-mistral-7b")
-
+        pytest.skip(f"Skipping video modality test for {model_name}")
     accuracy_inputs = {
         "image": {
             "prompt": [
@@ -2789,6 +2808,22 @@ def test_ptp_quickstart_multimodal_chunked_prefill(llm_root, llm_venv,
                 ],
             ],
         },
+        "phi4-multimodal-instruct": {
+            "image": [
+                [
+                    "image", "depicts", "natural", "environment", "ocean",
+                    "water", "waves", "sky"
+                ],
+                [
+                    "object", "mountain", "weather", "condition", "clear",
+                    "visible"
+                ],
+                [
+                    "traffic", "condition", "road", "moderate", "vehicles",
+                    "lanes", "cars", "bus"
+                ],
+            ],
+        },
     }
 
     cmd = [
@@ -2804,6 +2839,11 @@ def test_ptp_quickstart_multimodal_chunked_prefill(llm_root, llm_venv,
         "--enable_chunked_prefill",
         "--max_num_tokens=256",
     ]
+    if model_name == "phi4-multimodal-instruct":
+        cmd.append("--max_seq_len=4096")
+        cmd.append("--load_lora")
+        cmd.append("--auto_model_name")
+        cmd.append("Phi4MMForCausalLM")
 
     output = llm_venv.run_cmd(cmd, caller=check_output)
     for prompt_output, prompt_keywords in zip(
diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt
index 1d09e05d592..c1ab5b3a1ce 100644
--- a/tests/integration/test_lists/qa/llm_function_core.txt
+++ b/tests/integration/test_lists/qa/llm_function_core.txt
@@ -650,9 +650,11 @@ test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistr
 test_e2e.py::test_ptp_quickstart_multimodal[gemma-3-27b-it-gemma/gemma-3-27b-it-image-False]
 test_e2e.py::test_ptp_quickstart_multimodal[gemma-3-27b-it-gemma/gemma-3-27b-it-image-True]
 test_e2e.py::test_ptp_quickstart_multimodal_kv_cache_reuse[llava-v1.6-mistral-7b-llava-v1.6-mistral-7b-hf-0.8-image]
+test_e2e.py::test_ptp_quickstart_multimodal_kv_cache_reuse[phi4-multimodal-instruct-multimodals/Phi-4-multimodal-instruct-0.8-image]
 test_e2e.py::test_ptp_quickstart_multimodal_kv_cache_reuse[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-0.8-image]
 test_e2e.py::test_ptp_quickstart_multimodal_kv_cache_reuse[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-0.8-video]
 test_e2e.py::test_ptp_quickstart_multimodal_chunked_prefill[llava-v1.6-mistral-7b-llava-v1.6-mistral-7b-hf-0.8-image]
+test_e2e.py::test_ptp_quickstart_multimodal_chunked_prefill[phi4-multimodal-instruct-multimodals/Phi-4-multimodal-instruct-0.8-image]
 test_e2e.py::test_ptp_quickstart_multimodal_chunked_prefill[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-0.8-video]
 test_e2e.py::test_ptp_quickstart_multimodal_chunked_prefill[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-0.8-image]
 test_e2e.py::test_ptp_quickstart_multimodal_phi4mm[audio]

From d3a907131aa6062a6395d65910544f11789d0e7a Mon Sep 17 00:00:00 2001
From: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Date: Thu, 18 Sep 2025 20:01:06 +0800
Subject: [PATCH 07/76] [https://nvbugs/5519462][fix] Add failed cases into
 waives.txt (#7817)

Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
---
 .../defs/accuracy/test_disaggregated_serving.py           | 4 ++--
 tests/integration/defs/accuracy/test_llm_api_pytorch.py   | 8 +++-----
 tests/integration/test_lists/waives.txt                   | 5 -----
 3 files changed, 5 insertions(+), 12 deletions(-)

diff --git a/tests/integration/defs/accuracy/test_disaggregated_serving.py b/tests/integration/defs/accuracy/test_disaggregated_serving.py
index 6a70628f904..733122c3229 100644
--- a/tests/integration/defs/accuracy/test_disaggregated_serving.py
+++ b/tests/integration/defs/accuracy/test_disaggregated_serving.py
@@ -697,9 +697,9 @@ def test_nixl_backend(self):
             task.evaluate(llm)
 
     @pytest.mark.skip_less_device(8)
+    @skip_pre_hopper
     @parametrize_with_ids("overlap_scheduler", [True, False])
-    @parametrize_with_ids("mtp_nextn",
-                          [0, pytest.param(2, marks=skip_pre_hopper)])
+    @parametrize_with_ids("mtp_nextn", [0, 2])
     @pytest.mark.skip_less_device(8)
     def test_auto_dtype(self, overlap_scheduler, mtp_nextn):
         ctx_server_config = {"disable_overlap_scheduler": True}
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index c416bb49744..305dd3c67d9 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -1130,23 +1130,21 @@ def test_nvfp4_tp2(self):
 # This class has extensively parameterized test methods, which yield totally 200 test cases.
 # This is because this model requires high test coverage over the feature combinations.
 # Normally we should not parameterize test methods so extensively -- just test on the typical/important feature combinations.
+@skip_pre_hopper
 class TestDeepSeekV3Lite(LlmapiAccuracyTestHarness):
     MODEL_NAME = "deepseek-ai/DeepSeek-V3-Lite"
     MODEL_PATH = f"{llm_models_root()}/DeepSeek-V3-Lite/bf16"
 
     @pytest.mark.skip_less_device_memory(60000)
     # Chunked Prefill for MLA can only be enabled on SM100
-    @parametrize_with_ids(
-        "enable_chunked_prefill",
-        [False, pytest.param(True, marks=skip_pre_hopper)])
+    @parametrize_with_ids("enable_chunked_prefill", [False, True])
     @parametrize_with_ids("torch_compile", [False, True])
     @parametrize_with_ids("attention_dp,cuda_graph,overlap_scheduler",
                           [(False, False, False), (True, False, False),
                            (False, True, False), (False, False, True),
                            (False, True, True), (True, True, True)])
     # Only Hopper and Blackwell MLA kernel supports MTP
-    @parametrize_with_ids("mtp_nextn",
-                          [0, pytest.param(2, marks=skip_pre_hopper)])
+    @parametrize_with_ids("mtp_nextn", [0, 2])
     def test_bfloat16(self, mtp_nextn, attention_dp, cuda_graph,
                       overlap_scheduler, torch_compile, enable_chunked_prefill):
         kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.75)
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index a0ca2e1ee56..faf0b1af975 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -283,9 +283,7 @@ disaggregated/test_disaggregated.py::test_disaggregated_diff_max_tokens[TinyLlam
 disaggregated/test_disaggregated.py::test_disaggregated_deepseek_v3_lite_fp8_tp1_single_gpu_mtp[DeepSeek-V3-Lite-fp8] SKIP (https://nvbugs/5465642)
 examples/test_multimodal.py::test_llm_multimodal_general[Mistral-Small-3.1-24B-Instruct-2503-pp:1-tp:1-bfloat16-bs:1-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5431146)
 accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5470769)
-full:L40S/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_nextn=0-overlap_scheduler=False] SKIP (https://nvbugs/5347051)
 full:L40S/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5471108)
-full:L20/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_nextn=0-overlap_scheduler=False] SKIP (https://nvbugs/5347051)
 full:L20/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5471108)
 test_e2e.py::test_multi_nodes_eval[llama4-models/nvidia/Llama-4-Maverick-17B-128E-Instruct-FP8-tp8pp2-mmlu] SKIP (https://nvbugs/5473781)
 disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_llama_context_capacity[False-False-DeepSeek-V3-Lite-fp8/fp8] SKIP (https://nvbugs/5477404)
@@ -337,9 +335,6 @@ full:H100/accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8
 full:H100/accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8[tp8ep4-cuda_graph=True] SKIP (https://nvbugs/5512734)
 full:H100/accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8[tp8-cuda_graph=True] SKIP (https://nvbugs/5512734)
 full:H100/accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_eagle3[tp8-torch_compile=True] SKIP (https://nvbugs/5483534)
-full:A100/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_nextn=0-overlap_scheduler=False] SKIP (https://nvbugs/5519462)
-full:A100/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_nextn=0-overlap_scheduler=True] SKIP (https://nvbugs/5519462)
-full:A100/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False-enable_chunked_prefill=False] SKIP (https://nvbugs/5347051)
 full:A100/test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-video-False] SKIP (https://nvbugs/5453725)
 test_e2e.py::test_ptp_scaffolding[DeepSeek-R1-Distill-Qwen-7B-DeepSeek-R1/DeepSeek-R1-Distill-Qwen-7B] SKIP (https://nvbugs/5517260)
 accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp8_chunked_prefill[tp4ep4-cuda_graph=True] SKIP (https://nvbugs/5522462)

From 7f87b278bc3ca755afbbdcca22ddf948dee895d6 Mon Sep 17 00:00:00 2001
From: QI JUN <22017000+QiJune@users.noreply.github.com>
Date: Thu, 18 Sep 2025 20:10:04 +0800
Subject: [PATCH 08/76] [None][chore] remove generated fmha_cubin.h from source
 tree (#7836)

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
---
 .gitignore                                    |    1 +
 .../cubin/fmha_cubin.h                        | 5097 -----------------
 2 files changed, 1 insertion(+), 5097 deletions(-)
 delete mode 100644 cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h

diff --git a/.gitignore b/.gitignore
index 46bbb0b6cea..568d4c712d6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -66,6 +66,7 @@ llm-test-workspace/
 # Generated files
 cpp/include/tensorrt_llm/executor/version.h
 cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmha_v2_cu/
+cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h
 .devcontainer/.env
 
 # User config files
diff --git a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h
deleted file mode 100644
index 4d0731ce426..00000000000
--- a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/cubin/fmha_cubin.h
+++ /dev/null
@@ -1,5097 +0,0 @@
-/*
-* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION &
-* AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-* http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-#pragma once
-
-
-namespace tensorrt_llm
-{
-namespace kernels
-{
-// clang-format off
-
-
-#ifndef EXCLUDE_SM_90
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm90_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm90_cu_cubin[];
-extern void run_fmha_v2_fp16_64_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_64_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_128_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_128_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_256_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_256_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_64_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_64_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_128_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_128_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_256_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_256_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_384_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_384_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_512_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_512_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_384_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_384_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_512_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_512_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_64_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_64_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_128_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_128_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_256_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_256_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_64_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_64_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_128_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_128_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_256_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_256_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_384_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_384_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_512_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_512_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_384_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_384_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_512_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_bf16_512_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_softmax_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_alibi_tma_ws_sm90(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm90_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm90_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-#endif
-
-#ifndef EXCLUDE_SM_89
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_cu_cubin[];
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_cu_cubin_len;
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_output_bf16_sm89_cu_cubin[];
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_output_bf16_sm89_cu_cubin_len;
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_bf16_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_bf16_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_fp16_sm89_cu_cubin[];
-extern unsigned char cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_fp16_sm89_cu_cubin[];
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm89_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-#endif
-
-#ifndef EXCLUDE_SM_80
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_cu_cubin[];
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_cu_cubin_len;
-extern unsigned char cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_cu_cubin[];
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_cu_cubin_len;
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm80_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-#endif
-
-#ifndef EXCLUDE_SM_86
-extern unsigned char cubin_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_cu_cubin[];
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_cu_cubin_len;
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm86_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-#endif
-
-#ifndef EXCLUDE_SM_100
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm100_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm100_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-#endif
-
-#ifndef EXCLUDE_SM_120
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_output_bf16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_output_bf16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-extern void run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm120_nl(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-#endif
-
-
-#ifndef EXCLUDE_SM_90
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len;
-#endif
-
-#ifndef EXCLUDE_SM_89
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_bf16_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_bf16_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_fp16_sm89_cu_cubin_len;
-extern uint32_t cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_fp16_sm89_cu_cubin_len;
-#endif
-
-
-static const struct FusedMultiHeadAttentionKernelMetaInfoV2
-{
-    Data_type mDataTypeIn;
-    Data_type mDataTypeOut;
-    unsigned int mS;
-    unsigned int mStepQ;
-    unsigned int mStepKV;
-    unsigned int mD;
-    unsigned int mDV;
-    unsigned int mSageBlockSizeQ;
-    unsigned int mSageBlockSizeK;
-    unsigned int mSageBlockSizeV;
-    unsigned int mSM;
-    const unsigned char* mCubin;
-    unsigned int mCubinSize;
-    const char* mFuncName;
-    unsigned int mSharedMemBytes;
-    unsigned int mThreadsPerCTA;
-    unsigned int mUnrollStep;
-    int mAttentionMaskType;
-    int mAttentionInputLayout;
-    bool mInterleaved;
-    bool mFlashAttention;
-    bool mWarpSpecialization;
-    bool mFP32Accumulation;
-    bool mAlibiSupported;
-    bool mTiled;
-    bool mEnableAttnLogitSoftcapping;
-    bool mReturnSoftmaxStats;
-    void (*launcher)(Fused_multihead_attention_params_v2& params, const Launch_params& launch_params, cudaStream_t stream);
-} sMhaKernelMetaInfosV2[] = {
-#ifndef EXCLUDE_SM_90
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_32_ldgsts_sm90_kernel", 17408, 128, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 17408, 128, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_32_causal_ldgsts_sm90_kernel", 17408, 128, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_32_ldgsts_sm90_kernel_nl", 17408, 128, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_32_causal_ldgsts_sm90_kernel_nl", 17408, 128, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 17408, 128, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_32_ldgsts_sm90_kernel", 25600, 128, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 25600, 128, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_32_causal_ldgsts_sm90_kernel", 25600, 128, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_32_ldgsts_sm90_kernel_nl", 25600, 128, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_32_causal_ldgsts_sm90_kernel_nl", 25600, 128, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 25600, 128, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_32_ldgsts_sm90_kernel", 41984, 128, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 41984, 128, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_32_causal_ldgsts_sm90_kernel", 41984, 128, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_32_ldgsts_sm90_kernel_nl", 41984, 128, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_32_causal_ldgsts_sm90_kernel_nl", 41984, 128, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 41984, 128, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_64_ldgsts_sm90_kernel", 33792, 128, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 33792, 128, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_64_causal_ldgsts_sm90_kernel", 33792, 128, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_64_ldgsts_sm90_kernel_nl", 33792, 128, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_64_causal_ldgsts_sm90_kernel_nl", 33792, 128, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_64_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 33792, 128, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_64_ldgsts_sm90_kernel", 50176, 128, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 50176, 128, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_64_causal_ldgsts_sm90_kernel", 50176, 128, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_64_ldgsts_sm90_kernel_nl", 50176, 128, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_64_causal_ldgsts_sm90_kernel_nl", 50176, 128, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_128_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 50176, 128, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_64_ldgsts_sm90_kernel", 82944, 128, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 82944, 128, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_64_causal_ldgsts_sm90_kernel", 82944, 128, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_64_ldgsts_sm90_kernel_nl", 82944, 128, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_64_causal_ldgsts_sm90_kernel_nl", 82944, 128, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_256_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 82944, 128, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_32_ldgsts_sm90_kernel", 67072, 256, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 67072, 256, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_32_causal_ldgsts_sm90_kernel", 67072, 256, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_32_ldgsts_sm90_kernel_nl", 67072, 256, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_32_causal_ldgsts_sm90_kernel_nl", 67072, 256, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 67072, 256, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_32_ldgsts_sm90_kernel", 83456, 256, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 83456, 256, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_32_causal_ldgsts_sm90_kernel", 83456, 256, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_32_ldgsts_sm90_kernel_nl", 83456, 256, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_32_causal_ldgsts_sm90_kernel_nl", 83456, 256, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 83456, 256, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_64_ldgsts_sm90_kernel", 132608, 256, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 132608, 256, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_64_causal_ldgsts_sm90_kernel", 132608, 256, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_64_ldgsts_sm90_kernel_nl", 132608, 256, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_64_causal_ldgsts_sm90_kernel_nl", 132608, 256, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_384_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 132608, 256, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_64_ldgsts_sm90_kernel", 165376, 256, 0, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 165376, 256, 0, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_64_causal_ldgsts_sm90_kernel", 165376, 256, 0, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_64_ldgsts_sm90_kernel_nl", 165376, 256, 64, 0, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_64_causal_ldgsts_sm90_kernel_nl", 165376, 256, 64, 1, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_512_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 165376, 256, 64, 2, 0, false, false, false, false, true, false, false, false, run_fmha_v2_fp16_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_32_ldgsts_sm90_kernel", 17408, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 17408, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_32_causal_ldgsts_sm90_kernel", 17408, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_32_ldgsts_sm90_kernel_nl", 17408, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_32_causal_ldgsts_sm90_kernel_nl", 17408, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 17408, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_32_ldgsts_sm90_kernel", 25600, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 25600, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_32_causal_ldgsts_sm90_kernel", 25600, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_32_ldgsts_sm90_kernel_nl", 25600, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_32_causal_ldgsts_sm90_kernel_nl", 25600, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 25600, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_32_ldgsts_sm90_kernel", 41984, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 41984, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_32_causal_ldgsts_sm90_kernel", 41984, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_32_ldgsts_sm90_kernel_nl", 41984, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_32_causal_ldgsts_sm90_kernel_nl", 41984, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 41984, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_64_ldgsts_sm90_kernel", 33792, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 33792, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_64_causal_ldgsts_sm90_kernel", 33792, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_64_ldgsts_sm90_kernel_nl", 33792, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_64_causal_ldgsts_sm90_kernel_nl", 33792, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_64_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 33792, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_64_ldgsts_sm90_kernel", 50176, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 50176, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_64_causal_ldgsts_sm90_kernel", 50176, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_64_ldgsts_sm90_kernel_nl", 50176, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_64_causal_ldgsts_sm90_kernel_nl", 50176, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_128_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 50176, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_64_ldgsts_sm90_kernel", 82944, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 82944, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_64_causal_ldgsts_sm90_kernel", 82944, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_64_ldgsts_sm90_kernel_nl", 82944, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_64_causal_ldgsts_sm90_kernel_nl", 82944, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_256_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 82944, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_32_ldgsts_sm90_kernel", 67072, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 67072, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_32_causal_ldgsts_sm90_kernel", 67072, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_32_ldgsts_sm90_kernel_nl", 67072, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_32_causal_ldgsts_sm90_kernel_nl", 67072, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 67072, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_32_ldgsts_sm90_kernel", 83456, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 83456, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_32_causal_ldgsts_sm90_kernel", 83456, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_32_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_32_ldgsts_sm90_kernel_nl", 83456, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_32_causal_ldgsts_sm90_kernel_nl", 83456, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 83456, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_64_ldgsts_sm90_kernel", 132608, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 132608, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_64_causal_ldgsts_sm90_kernel", 132608, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_64_ldgsts_sm90_kernel_nl", 132608, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_64_causal_ldgsts_sm90_kernel_nl", 132608, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_384_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 132608, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_64_ldgsts_sm90_kernel", 165376, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 165376, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_64_causal_ldgsts_sm90_kernel", 165376, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_64_ldgsts_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_64_ldgsts_sm90_kernel_nl", 165376, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_64_causal_ldgsts_sm90_kernel_nl", 165376, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_bf16_512_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 165376, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_bf16_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_32_ldgsts_sm90_kernel", 17408, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 17408, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_32_causal_ldgsts_sm90_kernel", 17408, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_32_ldgsts_sm90_kernel_nl", 17408, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_32_causal_ldgsts_sm90_kernel_nl", 17408, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 17408, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_32_ldgsts_sm90_kernel", 25600, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 25600, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_32_causal_ldgsts_sm90_kernel", 25600, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_32_ldgsts_sm90_kernel_nl", 25600, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_32_causal_ldgsts_sm90_kernel_nl", 25600, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 25600, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_32_ldgsts_sm90_kernel", 41984, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 41984, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_32_causal_ldgsts_sm90_kernel", 41984, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_32_ldgsts_sm90_kernel_nl", 41984, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_32_causal_ldgsts_sm90_kernel_nl", 41984, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 41984, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_64_ldgsts_sm90_kernel", 33792, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 33792, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_64_causal_ldgsts_sm90_kernel", 33792, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_64_ldgsts_sm90_kernel_nl", 33792, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_64_causal_ldgsts_sm90_kernel_nl", 33792, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 64, 64, 64, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_64_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 33792, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_64_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_64_ldgsts_sm90_kernel", 50176, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 50176, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_64_causal_ldgsts_sm90_kernel", 50176, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_64_ldgsts_sm90_kernel_nl", 50176, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_64_causal_ldgsts_sm90_kernel_nl", 50176, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 128, 64, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_128_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 50176, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_128_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_64_ldgsts_sm90_kernel", 82944, 128, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 82944, 128, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_64_causal_ldgsts_sm90_kernel", 82944, 128, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_64_ldgsts_sm90_kernel_nl", 82944, 128, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_64_causal_ldgsts_sm90_kernel_nl", 82944, 128, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 256, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_256_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 82944, 128, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_256_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_32_ldgsts_sm90_kernel", 67072, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 67072, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_32_causal_ldgsts_sm90_kernel", 67072, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_32_ldgsts_sm90_kernel_nl", 67072, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_32_causal_ldgsts_sm90_kernel_nl", 67072, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 67072, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_32_ldgsts_sm90_kernel", 83456, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_32_sliding_or_chunked_causal_ldgsts_sm90_kernel", 83456, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_32_causal_ldgsts_sm90_kernel", 83456, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_32_ldgsts_sm90_kernel_nl", 83456, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_32_causal_ldgsts_sm90_kernel_nl", 83456, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_32_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 83456, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_32_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_64_ldgsts_sm90_kernel", 132608, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 132608, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_64_causal_ldgsts_sm90_kernel", 132608, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_64_ldgsts_sm90_kernel_nl", 132608, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_64_causal_ldgsts_sm90_kernel_nl", 132608, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 384, 64, 384, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_384_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 132608, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_384_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_64_ldgsts_sm90_kernel", 165376, 256, 0, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_64_sliding_or_chunked_causal_ldgsts_sm90_kernel", 165376, 256, 0, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_64_causal_ldgsts_sm90_kernel", 165376, 256, 0, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_64_ldgsts_sm90_kernel_nl", 165376, 256, 64, 0, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_64_causal_ldgsts_sm90_kernel_nl", 165376, 256, 64, 1, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 512, 64, 512, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_fp16_fp32_512_64_sliding_or_chunked_causal_ldgsts_sm90_kernel_nl", 165376, 256, 64, 2, 0, false, false, false, true, true, false, false, false, run_fmha_v2_fp16_fp32_512_64_ldgsts_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_40_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_40_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_48_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_48_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_64_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_160_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_160_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_192_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_192_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_256_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_256_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, false, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_256_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, false, false, false, true, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, false, false, false, true, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 1, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 1, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 1, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 1, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 2, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, false, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, false, false, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, false, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, false, false, false, true, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, false, false, false, true, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_softmax_tma_ws_sm90_kernel", 73984, 384, 64, 0, 1, false, true, true, false, false, false, false, true, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_custom_mask_softmax_tma_ws_sm90_kernel", 73984, 384, 64, 3, 1, false, true, true, false, false, false, false, true, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_32_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_softmax_tma_ws_sm90_kernel", 147712, 384, 64, 0, 1, false, true, true, false, false, false, false, true, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_custom_mask_softmax_tma_ws_sm90_kernel", 147712, 384, 64, 3, 1, false, true, true, false, false, false, false, true, run_fmha_v2_flash_attention_fp16_64_256_S_q_kv_64_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, false, false, false, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_custom_mask_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, false, false, false, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, false, false, false, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_custom_mask_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, false, false, false, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_32_causal_alibi_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_40_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_48_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_qkv_64_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_qkv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, false, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_160_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_192_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_256_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_causal_alibi_tma_ws_sm90_kernel", 73984, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, false, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_40_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_40_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_48_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_48_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_64_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_160_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_160_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_192_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_192_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_256_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_256_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_256_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_tma_ws_sm90_kernel", 213248, 384, 64, 0, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_causal_tma_ws_sm90_kernel", 213248, 384, 64, 1, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_softmax_tma_ws_sm90_kernel", 73984, 384, 64, 0, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_custom_mask_softmax_tma_ws_sm90_kernel", 73984, 384, 64, 3, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_32_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_softmax_tma_ws_sm90_kernel", 147712, 384, 64, 0, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_custom_mask_softmax_tma_ws_sm90_kernel", 147712, 384, 64, 3, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_256_S_q_kv_64_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_custom_mask_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, true, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_custom_mask_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, true, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90_kernel", 213248, 384, 64, 0, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_causal_softmax_tma_ws_sm90_kernel", 213248, 384, 64, 1, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_32_causal_alibi_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_40_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_48_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_qkv_64_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_qkv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_160_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_192_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_256_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_causal_alibi_tma_ws_sm90_kernel", 73984, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_tma_ws_sm90_kernel", 82304, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_causal_tma_ws_sm90_kernel", 82304, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 78208, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_custom_mask_tma_ws_sm90_kernel", 82304, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90_kernel", 164224, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90_kernel", 196864, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_kernel", 196864, 384, 64, 0, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_causal_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_custom_mask_tma_ws_sm90_kernel", 229632, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_causal_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_custom_mask_tma_ws_sm90_kernel", 229632, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_causal_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_custom_mask_tma_ws_sm90_kernel", 229632, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 180480, 384, 64, 2, 0, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_causal_softcapping_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_kv_32_tma_ws_sm90_kernel", 82304, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_kv_32_custom_mask_tma_ws_sm90_kernel", 82304, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_kv_64_tma_ws_sm90_kernel", 164224, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_kv_64_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_kernel", 196864, 384, 64, 0, 1, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_kv_128_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 1, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_tma_ws_sm90_kernel", 82304, 384, 64, 0, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_causal_tma_ws_sm90_kernel", 82304, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 78208, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_custom_mask_tma_ws_sm90_kernel", 82304, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_tma_ws_sm90_kernel", 164224, 384, 64, 0, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_causal_tma_ws_sm90_kernel", 164224, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 156032, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_custom_mask_tma_ws_sm90_kernel", 164224, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_kernel", 196864, 384, 64, 0, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 180480, 384, 64, 2, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_causal_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_custom_mask_tma_ws_sm90_kernel", 229632, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_causal_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_custom_mask_tma_ws_sm90_kernel", 229632, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_causal_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_custom_mask_tma_ws_sm90_kernel", 229632, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 180480, 384, 64, 2, 2, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_causal_softcapping_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_causal_alibi_tma_ws_sm90_kernel", 82304, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_qkv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_qkv_128_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, true, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_qkv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_causal_alibi_tma_ws_sm90_kernel", 82304, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_causal_alibi_tma_ws_sm90_kernel", 164224, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 256, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_e4m3_64_256_S_q_paged_kv_128_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, true, false, false, false, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_causal_alibi_tma_ws_sm90_kernel", 229632, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_paged_kv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_output_bf16_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 0, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_causal_softmax_output_bf16_tma_ws_sm90_kernel", 164096, 384, 64, 1, 3, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_e4m3_64_128_S_q_k_v_192x128_softmax_output_bf16_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 0, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 0, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 2, 0, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 0, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_tma_ws_sm90_kernel", 73984, 384, 64, 0, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_causal_tma_ws_sm90_kernel", 73984, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_sliding_or_chunked_causal_tma_ws_sm90_kernel", 73984, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_custom_mask_tma_ws_sm90_kernel", 73984, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_tma_ws_sm90_kernel", 147712, 384, 64, 0, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_kernel", 164096, 384, 64, 0, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_custom_mask_tma_ws_sm90_kernel", 164096, 384, 64, 3, 2, false, true, true, true, false, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_causal_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_sliding_or_chunked_causal_tma_ws_sm90_kernel", 147712, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_custom_mask_tma_ws_sm90_kernel", 147712, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_causal_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_sliding_or_chunked_causal_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_custom_mask_tma_ws_sm90_kernel", 196864, 384, 64, 3, 2, false, true, true, true, false, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 164096, 384, 64, 2, 2, false, true, true, true, false, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_tma_ws_sm90_kernel", 196864, 384, 64, 2, 2, false, true, true, true, false, false, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_softcapping_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_softmax_tma_ws_sm90_kernel", 73984, 384, 64, 0, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_custom_mask_softmax_tma_ws_sm90_kernel", 73984, 384, 64, 3, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_32_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_softmax_tma_ws_sm90_kernel", 147712, 384, 64, 0, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_custom_mask_softmax_tma_ws_sm90_kernel", 147712, 384, 64, 3, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_kv_64_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_custom_mask_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_softmax_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 0, 1, false, true, true, true, false, false, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_softmax_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_custom_mask_softmax_tma_ws_sm90_kernel", 164096, 384, 64, 3, 1, false, true, true, true, false, false, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_causal_alibi_tma_ws_sm90_kernel", 73984, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_qkv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 0, false, true, true, true, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 0, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_causal_alibi_tma_ws_sm90_kernel", 73984, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_32_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_40_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_48_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 256, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_256_S_q_paged_kv_64_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_alibi_tma_ws_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_alibi_tma_ws_sm90_kernel", 164096, 384, 64, 1, 2, false, true, true, true, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_160_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_causal_alibi_tma_ws_sm90_kernel", 147712, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_192_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_causal_alibi_tma_ws_sm90_kernel", 196864, 384, 64, 1, 2, false, true, true, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_256_alibi_tma_ws_sm90},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_causal_sm90_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_custom_mask_sm90_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm90_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_causal_sm90_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_custom_mask_sm90_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm90_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_causal_sm90_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sliding_or_chunked_causal_sm90_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_custom_mask_sm90_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm90_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_causal_sm90_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sliding_or_chunked_causal_sm90_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_custom_mask_sm90_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm90_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, false, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_softcapping_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_softcapping_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, true, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, true, false, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_causal_sm90_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_custom_mask_sm90_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm90_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_causal_sm90_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_custom_mask_sm90_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm90_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_causal_sm90_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sliding_or_chunked_causal_sm90_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_custom_mask_sm90_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm90_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_causal_sm90_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sliding_or_chunked_causal_sm90_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_custom_mask_sm90_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm90_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, false, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm90_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_softcapping_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, false, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_softcapping_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, false, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_causal_sm90_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_custom_mask_sm90_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm90_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_causal_sm90_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_custom_mask_sm90_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm90_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_custom_mask_sm90_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_custom_mask_sm90_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_causal_sm90_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sliding_or_chunked_causal_sm90_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_custom_mask_sm90_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm90_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_causal_sm90_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sliding_or_chunked_causal_sm90_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_custom_mask_sm90_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm90_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_causal_sm90_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sliding_or_chunked_causal_sm90_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_custom_mask_sm90_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_custom_mask_sm90_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_custom_mask_sm90_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm90_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm90_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_softcapping_sm90_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_90, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm90_cu_cubin, cubin_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm90_cu_cubin_len, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm90_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, false, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_softcapping_sm90_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm90_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm90_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, false, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm90_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 576, 512, 0, 0, 0, kSM_90, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm90_kernel_nl_tiled", 49152, 128, 64, 0, 2, false, true, false, true, true, true, false, false, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm90_nl_tiled},
-#endif
-
-#ifndef EXCLUDE_SM_89
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_kernel_nl", 12288, 128, 128, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_causal_sm89_kernel_nl", 12288, 128, 128, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 128, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_custom_mask_sm89_kernel_nl", 12288, 128, 128, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_kernel_nl", 12288, 128, 128, 0, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 128, 3, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_kernel_nl", 12288, 128, 128, 0, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_causal_sm89_kernel_nl", 12288, 128, 128, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 128, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 128, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_causal_sm89_kernel_nl", 24576, 128, 128, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl", 24576, 128, 128, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_causal_sm89_kernel_nl", 24576, 128, 128, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl", 24576, 128, 128, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_causal_sm89_kernel_nl", 24576, 128, 128, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl", 24576, 128, 128, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_causal_sm89_kernel_nl", 24576, 128, 128, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl", 24576, 128, 128, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_kernel_nl", 24576, 128, 128, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_causal_sm89_kernel_nl", 24576, 128, 128, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl", 24576, 128, 128, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_kernel_nl", 24576, 128, 128, 0, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_kernel_nl", 24576, 128, 128, 0, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_causal_sm89_kernel_nl", 24576, 128, 128, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl", 24576, 128, 128, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_custom_mask_sm89_kernel_nl", 24576, 128, 128, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_causal_sm89_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_custom_mask_sm89_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_causal_sm89_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_custom_mask_sm89_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_causal_sm89_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_custom_mask_sm89_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_causal_sm89_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_custom_mask_sm89_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_causal_sm89_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_custom_mask_sm89_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_causal_sm89_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_custom_mask_sm89_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_causal_output_bf16_sm89_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sliding_or_chunked_causal_output_bf16_sm89_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_custom_mask_output_bf16_sm89_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_causal_output_bf16_sm89_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sliding_or_chunked_causal_output_bf16_sm89_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_custom_mask_output_bf16_sm89_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 64, 32, 32, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_bf16_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 64, 32, 32, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_bf16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_bf16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_bf16_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 64, 32, 32, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_fp16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_fp16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sage_64_32_32_output_fp16_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_E4M3, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 64, 32, 32, kSM_89, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_fp16_sm89_cu_cubin, cubin_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_fp16_sm89_cu_cubin_len, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sage_64_32_32_output_fp16_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_custom_mask_sm89_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_causal_sm89_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sliding_or_chunked_causal_sm89_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_custom_mask_sm89_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm89_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_causal_sm89_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm89_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm89_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm89_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_custom_mask_sm89_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_causal_sm89_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm89_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_custom_mask_sm89_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm89_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_causal_sm89_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm89_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_custom_mask_sm89_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_causal_sm89_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sliding_or_chunked_causal_sm89_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_custom_mask_sm89_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm89_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_causal_sm89_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm89_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm89_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm89_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_custom_mask_sm89_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_causal_sm89_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm89_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_custom_mask_sm89_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm89_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_causal_sm89_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm89_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm89_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_custom_mask_sm89_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_causal_sm89_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sliding_or_chunked_causal_sm89_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_custom_mask_sm89_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm89_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_causal_sm89_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm89_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_causal_sm89_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm89_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm89_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm89_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_custom_mask_sm89_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm89_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_custom_mask_sm89_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm89_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_custom_mask_sm89_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm89_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_custom_mask_sm89_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_causal_sm89_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm89_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_custom_mask_sm89_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm89_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_causal_sm89_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm89_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_custom_mask_sm89_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm89_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_causal_sm89_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm89_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_custom_mask_sm89_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm89_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_custom_mask_sm89_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_custom_mask_sm89_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm89_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm89_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_89, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm89_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm89_nl},
-#endif
-
-#ifndef EXCLUDE_SM_80
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_custom_mask_sm80_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_causal_sm80_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sliding_or_chunked_causal_sm80_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_custom_mask_sm80_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm80_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_causal_sm80_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sliding_or_chunked_causal_sm80_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm80_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm80_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm80_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm80_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm80_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_custom_mask_sm80_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, cubin_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_cu_cubin, cubin_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_cu_cubin_len, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_cu_cubin, cubin_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_cu_cubin_len, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, nullptr},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_causal_sm80_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm80_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_custom_mask_sm80_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm80_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_causal_sm80_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm80_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm80_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm80_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_custom_mask_sm80_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_causal_sm80_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sliding_or_chunked_causal_sm80_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_custom_mask_sm80_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm80_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_causal_sm80_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sliding_or_chunked_causal_sm80_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm80_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm80_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm80_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm80_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm80_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_custom_mask_sm80_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_causal_sm80_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm80_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_custom_mask_sm80_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm80_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_causal_sm80_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm80_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm80_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm80_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm80_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_custom_mask_sm80_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_causal_sm80_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sliding_or_chunked_causal_sm80_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_custom_mask_sm80_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm80_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_causal_sm80_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sliding_or_chunked_causal_sm80_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm80_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_causal_sm80_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm80_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm80_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm80_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm80_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm80_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_custom_mask_sm80_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm80_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_custom_mask_sm80_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm80_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_custom_mask_sm80_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm80_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_custom_mask_sm80_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_causal_sm80_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm80_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_custom_mask_sm80_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm80_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_causal_sm80_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm80_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_custom_mask_sm80_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm80_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_causal_sm80_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm80_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_custom_mask_sm80_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm80_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_custom_mask_sm80_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_custom_mask_sm80_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm80_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm80_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_80, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm80_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm80_nl},
-#endif
-
-#ifndef EXCLUDE_SM_86
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_custom_mask_sm86_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_causal_sm86_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sliding_or_chunked_causal_sm86_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_custom_mask_sm86_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm86_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_causal_sm86_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sliding_or_chunked_causal_sm86_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm86_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm86_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm86_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm86_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm86_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_custom_mask_sm86_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_causal_sm86_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm86_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_custom_mask_sm86_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm86_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_causal_sm86_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm86_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm86_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm86_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_custom_mask_sm86_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_causal_sm86_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sliding_or_chunked_causal_sm86_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_custom_mask_sm86_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm86_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_causal_sm86_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sliding_or_chunked_causal_sm86_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm86_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm86_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm86_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm86_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm86_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_custom_mask_sm86_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_causal_sm86_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm86_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_custom_mask_sm86_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm86_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_causal_sm86_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm86_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, cubin_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_cu_cubin, cubin_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_cu_cubin_len, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, nullptr},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm86_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm86_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_custom_mask_sm86_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_causal_sm86_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sliding_or_chunked_causal_sm86_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_custom_mask_sm86_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm86_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_causal_sm86_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sliding_or_chunked_causal_sm86_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm86_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_causal_sm86_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm86_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm86_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm86_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm86_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm86_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_custom_mask_sm86_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm86_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_custom_mask_sm86_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm86_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_custom_mask_sm86_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm86_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_custom_mask_sm86_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_causal_sm86_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm86_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_custom_mask_sm86_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm86_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_causal_sm86_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm86_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_custom_mask_sm86_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm86_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_causal_sm86_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm86_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_custom_mask_sm86_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm86_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_custom_mask_sm86_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_custom_mask_sm86_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm86_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm86_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_86, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm86_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm86_nl},
-#endif
-
-#ifndef EXCLUDE_SM_100
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_100, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm100_kernel_nl_tiled", 81920, 128, 64, 0, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm100_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_100, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_causal_sm100_kernel_nl_tiled", 81920, 128, 64, 1, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm100_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 576, 512, 0, 0, 0, kSM_100, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm100_kernel_nl_tiled", 49152, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm100_nl_tiled},
-#endif
-
-#ifndef EXCLUDE_SM_120
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_16_custom_mask_sm120_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_40_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_48_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_qkv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_96_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_104_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_160_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_192_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_causal_sm120_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sliding_or_chunked_causal_sm120_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_16_custom_mask_sm120_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm120_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_causal_sm120_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_qkv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_40_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_48_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm120_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_160_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_192_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_qkv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_qkv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_qkv_256_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm120_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm120_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_custom_mask_sm120_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, false, true, true, false, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_causal_sm120_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm120_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_custom_mask_sm120_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm120_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_causal_sm120_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm120_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, false, true, false, false, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, false, true, true, true, true, run_fmha_v2_flash_attention_fp16_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_32_S_q_paged_kv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, false, true, false, true, true, run_fmha_v2_flash_attention_fp16_64_16_S_q_paged_kv_256_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_16_custom_mask_sm120_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_40_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_48_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_qkv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_96_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_104_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_160_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_192_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_causal_sm120_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sliding_or_chunked_causal_sm120_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_16_custom_mask_sm120_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm120_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_causal_sm120_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_qkv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_40_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_48_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm120_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_160_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_192_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_qkv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_qkv_128_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_qkv_256_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm120_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm120_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_custom_mask_sm120_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_causal_sm120_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm120_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_custom_mask_sm120_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm120_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_causal_sm120_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm120_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_32_S_q_paged_kv_128_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_bf16_64_16_S_q_paged_kv_256_softcapping_sm120_nl},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 128, 192, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_128_S_q_k_v_192x128_sm120_nl_tiled},
-{ DATA_TYPE_BF16, DATA_TYPE_BF16, 0, 64, 64, 576, 512, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm120_kernel_nl_tiled", 49152, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_bf16_64_64_S_q_paged_kv_576x512_sm120_nl_tiled},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm120_kernel_nl", 12288, 128, 128, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_causal_sm120_kernel_nl", 12288, 128, 128, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 128, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_custom_mask_sm120_kernel_nl", 12288, 128, 128, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm120_kernel_nl", 12288, 128, 128, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 128, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm120_kernel_nl", 12288, 128, 128, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_causal_sm120_kernel_nl", 12288, 128, 128, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 128, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 128, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_causal_sm120_kernel_nl", 24576, 128, 128, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl", 24576, 128, 128, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_40_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_causal_sm120_kernel_nl", 24576, 128, 128, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl", 24576, 128, 128, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_causal_sm120_kernel_nl", 24576, 128, 128, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl", 24576, 128, 128, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_48_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_causal_sm120_kernel_nl", 24576, 128, 128, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl", 24576, 128, 128, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm120_kernel_nl", 24576, 128, 128, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_causal_sm120_kernel_nl", 24576, 128, 128, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl", 24576, 128, 128, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_qkv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm120_kernel_nl", 24576, 128, 128, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm120_kernel_nl", 24576, 128, 128, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_causal_sm120_kernel_nl", 24576, 128, 128, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl", 24576, 128, 128, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_custom_mask_sm120_kernel_nl", 24576, 128, 128, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_128_128_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_causal_sm120_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_custom_mask_sm120_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_160_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_causal_sm120_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_custom_mask_sm120_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_causal_sm120_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_custom_mask_sm120_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_causal_sm120_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_custom_mask_sm120_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_causal_sm120_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_custom_mask_sm120_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_256_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_causal_sm120_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 32, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_custom_mask_sm120_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 64, 192, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_sm120_kernel_nl_tiled", 32768, 128, 64, 0, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_sm120_nl_tiled},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 64, 192, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_causal_sm120_kernel_nl_tiled", 32768, 128, 64, 1, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_sm120_nl_tiled},
-{ DATA_TYPE_E4M3, DATA_TYPE_E4M3, 0, 64, 64, 576, 512, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_sm120_kernel_nl_tiled", 65536, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_sm120_nl_tiled},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_causal_output_bf16_sm120_kernel_nl", 65536, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_sliding_or_chunked_causal_output_bf16_sm120_kernel_nl", 65536, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_custom_mask_output_bf16_sm120_kernel_nl", 65536, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_qkv_192_output_bf16_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_causal_output_bf16_sm120_kernel_nl", 65536, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_sliding_or_chunked_causal_output_bf16_sm120_kernel_nl", 65536, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 32, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_custom_mask_output_bf16_sm120_kernel_nl", 65536, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_32_S_q_paged_kv_192_output_bf16_sm120_nl},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 64, 192, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_output_bf16_sm120_kernel_nl_tiled", 32768, 128, 64, 0, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_output_bf16_sm120_nl_tiled},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 64, 192, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_causal_output_bf16_sm120_kernel_nl_tiled", 32768, 128, 64, 1, 3, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_k_v_192x128_output_bf16_sm120_nl_tiled},
-{ DATA_TYPE_E4M3, DATA_TYPE_BF16, 0, 64, 64, 576, 512, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_output_bf16_sm120_kernel_nl_tiled", 65536, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_e4m3_fp32_64_64_S_q_paged_kv_576x512_output_bf16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_custom_mask_sm120_kernel_nl_tiled", 16384, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_qkv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 0, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_causal_sm120_kernel_nl", 6144, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sliding_or_chunked_causal_sm120_kernel_nl", 6144, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_custom_mask_sm120_kernel_nl", 6144, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm120_kernel_nl", 12288, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_causal_sm120_kernel_nl", 12288, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_qkv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm120_kernel_nl", 16384, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_causal_sm120_kernel_nl", 16384, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm120_kernel_nl", 32768, 128, 64, 0, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 0, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 0, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_qkv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_qkv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 1, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 2, 0, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_qkv_256_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 1, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm120_kernel_nl", 12288, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm120_kernel_nl", 16384, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 1, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 16384, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_custom_mask_sm120_kernel_nl_tiled", 16384, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_16_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm120_kernel_nl_tiled", 32768, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 32768, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_custom_mask_sm120_kernel_nl_tiled", 32768, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_32_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_40_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_48_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm120_kernel_nl_tiled", 65536, 128, 128, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 65536, 128, 128, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 128, 128, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_custom_mask_sm120_kernel_nl_tiled", 65536, 128, 128, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_128_128_S_q_paged_kv_64_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_72_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_80_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_96_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_104_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm120_kernel_nl_tiled", 81920, 128, 64, 0, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_160_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_192_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_custom_mask_sm120_kernel_nl_tiled", 81920, 128, 64, 3, 2, false, true, false, true, true, true, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_causal_sm120_kernel_nl", 6144, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sliding_or_chunked_causal_sm120_kernel_nl", 6144, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 16, 16, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_custom_mask_sm120_kernel_nl", 6144, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_16_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm120_kernel_nl", 12288, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_causal_sm120_kernel_nl", 12288, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sliding_or_chunked_causal_sm120_kernel_nl", 12288, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 64, 32, 32, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_custom_mask_sm120_kernel_nl", 12288, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_64_S_q_paged_kv_32_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 40, 40, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_40_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 48, 48, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_48_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm120_kernel_nl", 16384, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_causal_sm120_kernel_nl", 16384, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sliding_or_chunked_causal_sm120_kernel_nl", 16384, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 64, 64, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_custom_mask_sm120_kernel_nl", 16384, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_64_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 72, 72, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_72_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 80, 80, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_80_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 96, 96, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_96_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 104, 104, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_104_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm120_kernel_nl", 32768, 128, 64, 0, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_custom_mask_sm120_kernel_nl", 32768, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 160, 160, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_160_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 192, 192, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_192_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_custom_mask_sm120_kernel_nl", 49152, 128, 64, 3, 2, false, true, false, true, true, false, false, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_128_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 1, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 128, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl_tiled", 81920, 128, 64, 2, 2, false, true, false, true, true, true, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_128_S_q_paged_kv_256_softcapping_sm120_nl_tiled},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 32, 128, 128, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 32768, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_32_S_q_paged_kv_128_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 1, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm120_nl},
-{ DATA_TYPE_FP16, DATA_TYPE_FP16, 0, 64, 16, 256, 256, 0, 0, 0, kSM_120, nullptr, 0, "fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_sliding_or_chunked_causal_softcapping_sm120_kernel_nl", 49152, 128, 64, 2, 2, false, true, false, true, true, false, true, true, run_fmha_v2_flash_attention_fp16_fp32_64_16_S_q_paged_kv_256_softcapping_sm120_nl}
-#endif
-
-
-};
-
-// clang-format on
-} // namespace kernels
-} // namespace tensorrt_llm

From c65457db8a093d5dbb61f4e249bc8dd595f0923e Mon Sep 17 00:00:00 2001
From: bhsueh_NV <11360707+byshiue@users.noreply.github.com>
Date: Thu, 18 Sep 2025 20:11:05 +0800
Subject: [PATCH 09/76] [None][fix] Revert "Revert "[None][feat] support
 attention dp for qwen3 dense model"" (#7780)

Signed-off-by: bhsueh <11360707+byshiue@users.noreply.github.com>
---
 tensorrt_llm/_torch/models/modeling_qwen3.py | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/tensorrt_llm/_torch/models/modeling_qwen3.py b/tensorrt_llm/_torch/models/modeling_qwen3.py
index 892c021b631..0a3beb39536 100644
--- a/tensorrt_llm/_torch/models/modeling_qwen3.py
+++ b/tensorrt_llm/_torch/models/modeling_qwen3.py
@@ -8,6 +8,7 @@
 
 from ..attention_backend import AttentionMetadata
 from ..attention_backend.interface import PositionalEmbeddingParams, RopeParams
+from ..distributed import AllReduceParams
 from ..model_config import ModelConfig
 from ..modules.decoder_layer import DecoderLayer
 from ..modules.embedding import Embedding
@@ -82,6 +83,8 @@ def __init__(
             model_config,
             layer_idx=layer_idx,
         )
+        self.mapping = model_config.mapping
+        self.enable_attention_dp = self.mapping.enable_attention_dp
 
         # Qwen3 has accuracy issues with deep_gemm (see: https://nvbugspro.nvidia.com/bug/5461712
         # and https://nvbugspro.nvidia.com/bug/5505402)
@@ -92,6 +95,7 @@ def __init__(
             intermediate_size=config.intermediate_size,
             bias=config.mlp_bias if hasattr(config, "mlp_bias") else False,
             dtype=config.torch_dtype,
+            overridden_tp_size=1 if self.enable_attention_dp else None,
             config=model_config,
             disable_deep_gemm=disable_deep_gemm,
         )
@@ -102,6 +106,8 @@ def __init__(
         self.post_attention_layernorm = RMSNorm(hidden_size=config.hidden_size,
                                                 eps=config.rms_norm_eps,
                                                 dtype=config.torch_dtype)
+        self.disable_allreduce = (self.mapping.tp_size == 1
+                                  or self.enable_attention_dp)
 
     def forward(
         self,
@@ -126,13 +132,21 @@ def forward(
             hidden_states=hidden_states,
             attn_metadata=attn_metadata,
             mrope_config=mrope_config,
+            all_reduce_params=AllReduceParams(
+                enable_allreduce=not self.disable_allreduce),
             **kwargs,
         )
 
         # Fully Connected
         hidden_states, residual = self.post_attention_layernorm(
             hidden_states, residual)
-        hidden_states = self.mlp(hidden_states)
+        hidden_states = self.mlp(
+            hidden_states,
+            all_rank_num_tokens=attn_metadata.all_rank_num_tokens,
+            final_all_reduce_params=AllReduceParams(
+                enable_allreduce=not self.disable_allreduce),
+            cutlass_min_latency_mode=False,
+        )
 
         if spec_metadata is not None:
             spec_metadata.maybe_capture_hidden_states(self.layer_idx,

From d921fc33520d0c1feb53b09aca8a38ca31f7d572 Mon Sep 17 00:00:00 2001
From: Li Min <11663212+limin2021@users.noreply.github.com>
Date: Thu, 18 Sep 2025 21:20:04 +0800
Subject: [PATCH 10/76] [TRTLLM-6898][feat] Add swapab, tileN64, cga sync
 support for cute dsl nvfp4 gemm (#7764)

Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>
---
 .../_torch/custom_ops/cute_dsl_custom_ops.py  | 146 +++++--
 .../blackwell/custom_pipeline.py              | 376 ++++++++++++++++++
 .../dense_blockscaled_gemm_persistent.py      |  54 ++-
 .../cute_dsl_kernels/blackwell/utils.py       |  61 +--
 .../_torch/thop/parallel/test_fp4_linear.py   | 150 ++++++-
 5 files changed, 700 insertions(+), 87 deletions(-)
 create mode 100644 tensorrt_llm/_torch/cute_dsl_kernels/blackwell/custom_pipeline.py

diff --git a/tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.py b/tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.py
index 9a6637f2328..d4092d3b516 100644
--- a/tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.py
+++ b/tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.py
@@ -64,40 +64,66 @@ def get_valid_tactics(
             # Note: the input tensor use uint8 to store fp4, so the real_k is k * 2
             real_k = k * 2
             batch_size = 1
+            sf_vec_size = 16
             # m,k
             a_major = "k"
             # n, k
             b_major = "k"
-            # m, n
-            c_major = "n"
-            sf_vec_size = 16
 
             # full shamoo
-            mma_tiler_mn_candidates = [(256, 128), (128, 128), (128, 256),
-                                       (256, 256), (256, 64), (128, 64)]
-            cluster_shape_mn_candidates = [(1, 1), (1, 2), (1, 4), (2, 1),
-                                           (2, 2), (2, 4), (4, 1), (4, 2),
-                                           (4, 4)]
-            return [
-                (mma_tiler_mn, cluster_shape_mn)
-                for mma_tiler_mn in mma_tiler_mn_candidates
-                for cluster_shape_mn in cluster_shape_mn_candidates
-                if Sm100BlockScaledPersistentDenseGemmKernel.can_implement(
-                    cutlass.Float4E2M1FN,  # ab_dtype,
-                    cutlass.Float8E4M3FN,  # sf_dtype
-                    sf_vec_size,  # sf_vec_size,
-                    cutlass.BFloat16,  # c_dtype,
-                    mma_tiler_mn,
-                    cluster_shape_mn,
-                    m,
-                    n,
-                    real_k,
-                    batch_size,
-                    a_major,
-                    b_major,
-                    c_major,
-                )
+            mma_tiler_mn_candidates = [
+                (256, 128),
+                (128, 128),
+                (128, 256),
+                (256, 256),
+                (256, 64),
+                (128, 64),
             ]
+            cluster_shape_mn_candidates = [
+                (1, 1),
+                (1, 2),
+                (1, 4),
+                (2, 1),
+                (2, 2),
+                (2, 4),
+                (4, 1),
+                (4, 2),
+                (4, 4),
+            ]
+            swap_ab_candidates = [True, False]
+
+            valid_tactics = []
+            for swap_ab in swap_ab_candidates:
+                for mma_tiler_mn in mma_tiler_mn_candidates:
+                    for cluster_shape_mn in cluster_shape_mn_candidates:
+                        if swap_ab:
+                            c_major = "m"
+                            kernel_m = n
+                            kernel_n = m
+                        else:
+                            c_major = "n"
+                            kernel_m = m
+                            kernel_n = n
+
+                        if Sm100BlockScaledPersistentDenseGemmKernel.can_implement(
+                                cutlass.Float4E2M1FN,  # ab_dtype,
+                                cutlass.Float8E4M3FN,  # sf_dtype
+                                sf_vec_size,  # sf_vec_size,
+                                cutlass.BFloat16,  # c_dtype,
+                                mma_tiler_mn,
+                                cluster_shape_mn,
+                                kernel_m,
+                                kernel_n,
+                                real_k,
+                                batch_size,
+                                a_major,
+                                b_major,
+                                c_major,
+                        ):
+                            valid_tactics.append(
+                                (mma_tiler_mn, cluster_shape_mn, swap_ab))
+
+            return valid_tactics
 
         def make_cute_dsl_global_pointer(self, tensor: torch.Tensor, dtype,
                                          assumed_align: int):
@@ -132,12 +158,13 @@ def forward(
             sf_vec_size = 16
 
             if isinstance(tactic, tuple):
-                mma_tiler_mn, cluster_shape_mn = tactic
+                mma_tiler_mn, cluster_shape_mn, swap_ab = tactic
             else:
                 # fallback to default tactic
-                mma_tiler_mn, cluster_shape_mn = [
+                mma_tiler_mn, cluster_shape_mn, swap_ab = [
                     (128, 128),
                     (1, 1),
+                    False,
                 ]
 
             a_tensor, b_tensor, a_sf_tensor, b_sf_tensor = inputs
@@ -146,6 +173,9 @@ def forward(
                                    dtype=self.output_dtype,
                                    device="cuda")
 
+            if swap_ab:
+                c_tensor = c_tensor.permute(1, 0)
+
             real_k = k * 2
             sf_m = pad_up(m, 128)
             sf_k = pad_up(real_k // sf_vec_size, 4)
@@ -175,7 +205,27 @@ def forward(
                 sf_vec_size,
                 mma_tiler_mn,
                 cluster_shape_mn,
+                swap_ab,
             )
+            if swap_ab:
+                kernel_a_ptr = b_ptr
+                kernel_a_sf_ptr = b_sf_ptr
+                kernel_b_ptr = a_ptr
+                kernel_b_sf_ptr = a_sf_ptr
+                kernel_m = n
+                kernel_n = m
+                kernel_sf_m = sf_n
+                kernel_sf_n = sf_m
+            else:
+                kernel_a_ptr = a_ptr
+                kernel_a_sf_ptr = a_sf_ptr
+                kernel_b_ptr = b_ptr
+                kernel_b_sf_ptr = b_sf_ptr
+                kernel_m = m
+                kernel_n = n
+                kernel_sf_m = sf_m
+                kernel_sf_n = sf_n
+
             if CACHE_KEY not in CuteDSLNVFP4BlackwellLinear.kernel_dict:
                 gemm = gemm_wrapper_func(
                     sf_vec_size,
@@ -189,21 +239,22 @@ def forward(
 
                 compiled_gemm = cute.compile(
                     gemm,
-                    m,
-                    n,
+                    kernel_m,
+                    kernel_n,
                     real_k,
-                    sf_m // 128,
-                    sf_n // 128,
+                    kernel_sf_m // 128,
+                    kernel_sf_n // 128,
                     sf_k // 4,
                     1,
-                    a_ptr,
-                    b_ptr,
-                    a_sf_ptr,
-                    b_sf_ptr,
+                    kernel_a_ptr,
+                    kernel_b_ptr,
+                    kernel_a_sf_ptr,
+                    kernel_b_sf_ptr,
                     c_ptr,
                     self.alpha,
                     max_active_clusters,
                     stream,
+                    swap_ab,
                 )
 
                 CuteDSLNVFP4BlackwellLinear.kernel_dict[
@@ -213,9 +264,24 @@ def forward(
                     CACHE_KEY]
 
             # launch gemm kernel
-            compiled_gemm(m, n, real_k, sf_m // 128, sf_n // 128, sf_k // 4,
-                          a_ptr, b_ptr, a_sf_ptr, b_sf_ptr, c_ptr, self.alpha,
-                          stream)
+            compiled_gemm(
+                kernel_m,
+                kernel_n,
+                real_k,
+                kernel_sf_m // 128,
+                kernel_sf_n // 128,
+                sf_k // 4,
+                kernel_a_ptr,
+                kernel_b_ptr,
+                kernel_a_sf_ptr,
+                kernel_b_sf_ptr,
+                c_ptr,
+                self.alpha,
+                stream,
+            )
+
+            if swap_ab:
+                c_tensor = c_tensor.permute(1, 0)
             return c_tensor
 
     # a/b: fp4, scale: fp8, output: bf16
diff --git a/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/custom_pipeline.py b/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/custom_pipeline.py
new file mode 100644
index 00000000000..5877a31132f
--- /dev/null
+++ b/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/custom_pipeline.py
@@ -0,0 +1,376 @@
+# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: BSD-3-Clause
+
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+
+# 1. Redistributions of source code must retain the above copyright notice, this
+# list of conditions and the following disclaimer.
+
+# 2. Redistributions in binary form must reproduce the above copyright notice,
+# this list of conditions and the following disclaimer in the documentation
+# and/or other materials provided with the distribution.
+
+# 3. Neither the name of the copyright holder nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+# This file is copied and modified from https://github.com/NVIDIA/cutlass/tree/main/python/CuTeDSL/cutlass/pipeline
+
+from dataclasses import dataclass
+from typing import Optional
+
+import cutlass.cute as cute
+from cutlass.cutlass_dsl import Boolean, if_generate
+from cutlass.pipeline import (CooperativeGroup, PipelineAsync, PipelineOp,
+                              PipelineState)
+
+
+def pipeline_init_wait(cta_layout_vmnk: Optional[cute.Layout] = None):
+    """Initializes the mbarrier and synchronizes the threadblock or cluster.
+
+    This function places a fence on the mbarrier initialization to ensure
+    proper synchronization across the threadblock or cluster.
+
+    Args:
+        cta_layout_vmnk (Optional[cute.Layout]): The CTA layout for VMNK. Defaults to None.
+    """
+    cute.arch.mbarrier_init_fence()
+
+
+##############################################################################
+# Pipeline classes
+##############################################################################
+
+
+@dataclass(frozen=True)
+class PipelineTmaUmma(PipelineAsync):
+    """PipelineTmaUmma is used for TMA producers and UMMA consumers.
+
+    This class is typically used in scenarios such as Blackwell mainloops, where TMA (Tensor Memory Access) producers interact with UMMA (Universal Matrix Multiply Accumulate) consumers.
+
+    Attributes:
+        is_leader_cta (bool): Indicates if the current CTA is the leader.
+        cta_group (cute.nvgpu.tcgen05.CtaGroup): The CTA group associated with the pipeline.
+    """
+
+    is_leader_cta: bool
+    cta_group: cute.nvgpu.tcgen05.CtaGroup
+
+    @staticmethod
+    def _compute_mcast_arrival_mask(cta_layout_vmnk: cute.Layout,
+                                    mcast_mode_mn: tuple[int, int]):
+        """Computes a mask for signaling arrivals to multicasting threadblocks.
+
+        Returns:
+            The computed mask for multicasting threadblocks.
+        """
+        cta_rank_in_cluster = cute.arch.make_warp_uniform(
+            cute.arch.block_idx_in_cluster())
+        cta_in_cluster_coord_vmnk = cta_layout_vmnk.get_flat_coord(
+            cta_rank_in_cluster)
+
+        tma_mcast_mask_a = cute.nvgpu.cpasync.create_tma_multicast_mask(
+            cta_layout_vmnk, cta_in_cluster_coord_vmnk, mcast_mode=2)
+        tma_mcast_mask_b = cute.nvgpu.cpasync.create_tma_multicast_mask(
+            cta_layout_vmnk, cta_in_cluster_coord_vmnk, mcast_mode=1)
+
+        block_in_cluster_coord_vmnk_peer = (
+            cta_in_cluster_coord_vmnk[0] ^ 1,
+            *cta_in_cluster_coord_vmnk[1:],
+        )
+        tma_mcast_mask_a_peer = cute.nvgpu.cpasync.create_tma_multicast_mask(
+            cta_layout_vmnk, block_in_cluster_coord_vmnk_peer, mcast_mode=2)
+        tma_mcast_mask_b_peer = cute.nvgpu.cpasync.create_tma_multicast_mask(
+            cta_layout_vmnk, block_in_cluster_coord_vmnk_peer, mcast_mode=1)
+
+        assert not (mcast_mode_mn[0] == 0 and mcast_mode_mn[1] == 0)
+        if mcast_mode_mn[0] == 1 and mcast_mode_mn[1] == 1:
+            return (tma_mcast_mask_a
+                    | tma_mcast_mask_b
+                    | tma_mcast_mask_a_peer
+                    | tma_mcast_mask_b_peer)
+        elif mcast_mode_mn[1] == 1:
+            return tma_mcast_mask_b | tma_mcast_mask_b_peer
+        assert mcast_mode_mn[0] == 1
+        return tma_mcast_mask_a | tma_mcast_mask_a_peer
+
+    @staticmethod
+    def _compute_is_leader_cta(cta_layout_vmnk: cute.Layout):
+        """
+        Computes leader threadblocks for 2CTA kernels. For 1CTA, all threadblocks are leaders.
+
+        Args:
+            cta_layout_vmnk (cute.Layout): Layout of the cluster shape.
+
+        Returns:
+            bool: True if the current threadblock is a leader, False otherwise.
+        """
+        bidx, bidy, _ = cute.arch.block_idx()
+
+        mma_coord_vmnk = (
+            bidx % cute.size(cta_layout_vmnk, mode=[0]),
+            bidx // cute.size(cta_layout_vmnk, mode=[0]),
+            bidy,
+            None,
+        )
+        return mma_coord_vmnk[0] == 0
+
+    @staticmethod
+    def create(
+            *,
+            num_stages: int,
+            producer_group: CooperativeGroup,
+            consumer_group: CooperativeGroup,
+            tx_count: int,
+            barrier_storage: cute.Pointer = None,
+            cta_layout_vmnk: Optional[cute.Layout] = None,
+            mcast_mode_mn: tuple[int, int] = (1, 1),
+    ):
+        """
+        This helper function computes any necessary attributes and returns an instance of PipelineTmaUmma.
+
+        Args:
+            barrier_storage (cute.Pointer): Pointer to the smem address for this pipeline's mbarriers.
+            num_stages (int): Number of buffer stages for this pipeline.
+            producer_group (CooperativeGroup): `CooperativeGroup` for the producer agent.
+            consumer_group (CooperativeGroup): `CooperativeGroup` for the consumer agent.
+            tx_count (int): Number of bytes expected to be written to the transaction barrier for one stage.
+            cta_layout_vmnk (cute.Layout | None): Layout of the cluster shape.
+            mcast_mode_mn (tuple[int, int]): Tuple of two integers, specifying whether mcast is enabled for the m and n modes. At least one of the two integers must be 1.
+
+        Returns:
+            PipelineTmaUmma: An instance of PipelineTmaUmma with all necessary attributes computed.
+        """
+        if not isinstance(barrier_storage, cute.Pointer):
+            raise ValueError(
+                f"Expected barrier_storage to be a cute.Pointer, but got {type(barrier_storage)}"
+            )
+
+        producer_type = PipelineOp.TmaLoad
+        consumer_type = PipelineOp.TCGen05Mma
+
+        producer = (producer_type, producer_group)
+        consumer = (consumer_type, consumer_group)
+
+        sync_object_full = PipelineAsync._make_sync_object(
+            barrier_storage.align(min_align=8), num_stages, producer, tx_count)
+        sync_object_empty = PipelineAsync._make_sync_object(
+            barrier_storage.align(min_align=8) + num_stages, num_stages,
+            consumer)
+
+        if cta_layout_vmnk is None or cute.size(cta_layout_vmnk) == 1:
+            # No mcast mask if not using clusters
+            producer_mask = None
+            # All threadblocks are leaders if not using clusters
+            is_leader_cta = True
+        else:
+            producer_mask = PipelineTmaUmma._compute_mcast_arrival_mask(
+                cta_layout_vmnk, mcast_mode_mn)
+            is_leader_cta = PipelineTmaUmma._compute_is_leader_cta(
+                cta_layout_vmnk)
+
+        cta_group = (cute.nvgpu.tcgen05.CtaGroup.ONE if cta_layout_vmnk is None
+                     or cute.size(cta_layout_vmnk, mode=[0]) == 1 else
+                     cute.nvgpu.tcgen05.CtaGroup.TWO)
+
+        consumer_mask = producer_mask
+
+        pipeline_init_wait(cta_layout_vmnk)
+
+        return PipelineTmaUmma(
+            sync_object_full,
+            sync_object_empty,
+            num_stages,
+            producer_mask,
+            consumer_mask,
+            is_leader_cta,
+            cta_group,
+        )
+
+    def consumer_release(self, state: PipelineState):
+        """
+        UMMA consumer release buffer empty, cta_group needs to be provided.
+
+        Google style:
+        Args:
+            state (PipelineState): The current pipeline state.
+
+        Returns:
+            None
+        """
+        self.sync_object_empty.arrive(state.index, self.consumer_mask,
+                                      self.cta_group)
+
+    def producer_acquire(self,
+                         state: PipelineState,
+                         try_acquire_token: Optional[Boolean] = None):
+        """
+        Conditionally waits on buffer empty and sets the transaction barrier for leader threadblocks.
+
+        Google style:
+        This method is used by the TMA producer to conditionally wait for the buffer to be empty and, for leader threadblocks, to set the transaction barrier.
+
+        Args:
+            state (PipelineState): The current pipeline state.
+            try_acquire_token (Optional[Boolean]): Optional token to control conditional acquire.
+
+        Returns:
+            None
+        """
+        if_generate(
+            try_acquire_token is None or try_acquire_token == 0,
+            lambda: self.sync_object_empty.wait(state.index, state.phase),
+        )
+        if_generate(
+            self.is_leader_cta,
+            lambda: self.sync_object_full.arrive(state.index, self.producer_mask
+                                                 ),
+        )
+
+    def producer_commit(self, state: PipelineState):
+        """
+        TMA producer commit is a noop since TMA instruction itself updates the transaction count.
+
+        Google style:
+        This method does nothing because the TMA instruction automatically updates the transaction count.
+
+        Args:
+            state (PipelineState): The current pipeline state.
+
+        Returns:
+            None
+        """
+
+
+@dataclass(frozen=True)
+class PipelineUmmaAsync(PipelineAsync):
+
+    cta_group: cute.nvgpu.tcgen05.CtaGroup
+
+    @staticmethod
+    def _compute_tmem_sync_mask(cta_layout_vmnk: cute.Layout):
+        cta_rank_in_cluster = cute.arch.make_warp_uniform(
+            cute.arch.block_idx_in_cluster())
+        cta_in_cluster_coord_vmnk = cta_layout_vmnk.get_flat_coord(
+            cta_rank_in_cluster)
+        return cute.make_layout_image_mask(cta_layout_vmnk,
+                                           cta_in_cluster_coord_vmnk,
+                                           mode=0)
+
+    @staticmethod
+    def _compute_peer_cta_rank():
+        cta_rank_in_cluster = cute.arch.make_warp_uniform(
+            cute.arch.block_idx_in_cluster())
+        return cta_rank_in_cluster // 2 * 2
+
+    @staticmethod
+    def create(
+        *,
+        num_stages: int,
+        producer_group: CooperativeGroup,
+        consumer_group: CooperativeGroup,
+        barrier_storage: cute.Pointer = None,
+        cta_layout_vmnk: Optional[cute.Layout] = None,
+    ):
+        """
+        This helper function computes any necessary attributes and returns an instance of PipelineUmmaAsync.
+
+        Args:
+            barrier_storage (cute.Pointer): Pointer to the smem address for this pipeline's mbarriers.
+            num_stages (int): Number of buffer stages for this pipeline.
+            producer_group (CooperativeGroup): CooperativeGroup for the producer agent.
+            consumer_group (CooperativeGroup): CooperativeGroup for the consumer agent.
+            cta_layout_vmnk (cute.Layout or None): Layout of the cluster shape.
+
+        Returns:
+            PipelineUmmaAsync: An instance of PipelineUmmaAsync.
+        """
+        if not isinstance(barrier_storage, cute.Pointer):
+            raise ValueError(
+                f"Expected barrier_storage to be a cute.Pointer, but got {type(barrier_storage)}"
+            )
+
+        producer_type = PipelineOp.TCGen05Mma
+        consumer_type = PipelineOp.AsyncThread
+
+        producer = (producer_type, producer_group)
+        consumer = (consumer_type, consumer_group)
+
+        sync_object_full = PipelineAsync._make_sync_object(
+            barrier_storage.align(min_align=8), num_stages, producer)
+        sync_object_empty = PipelineAsync._make_sync_object(
+            barrier_storage.align(min_align=8) + num_stages, num_stages,
+            consumer)
+
+        if cta_layout_vmnk is None or cute.size(cta_layout_vmnk) == 1:
+            # Set mask to None if not using clusters (i.e. 1CTA kernels)
+            producer_mask = None
+        else:
+            producer_mask = PipelineUmmaAsync._compute_tmem_sync_mask(
+                cta_layout_vmnk)
+
+        if cta_layout_vmnk is None or cute.size(cta_layout_vmnk, mode=[0]) == 1:
+            # Set mask to None if not using 2CTA instructions
+            consumer_mask = None
+        else:
+            consumer_mask = PipelineUmmaAsync._compute_peer_cta_rank()
+
+        cta_group = (cute.nvgpu.tcgen05.CtaGroup.ONE if cta_layout_vmnk is None
+                     or cute.size(cta_layout_vmnk, mode=[0]) == 1 else
+                     cute.nvgpu.tcgen05.CtaGroup.TWO)
+
+        pipeline_init_wait(cta_layout_vmnk)
+
+        return PipelineUmmaAsync(
+            sync_object_full,
+            sync_object_empty,
+            num_stages,
+            producer_mask,
+            consumer_mask,
+            cta_group,
+        )
+
+    def producer_commit(self, state: PipelineState):
+        self.sync_object_full.arrive(state.index, self.producer_mask,
+                                     self.cta_group)
+
+    def producer_tail(self, state: PipelineState):
+        cta_rank_in_cluster = cute.arch.make_warp_uniform(
+            cute.arch.block_idx_in_cluster())
+        is_leader_cta = cta_rank_in_cluster % 2 == 0
+
+        def then_body():
+            # Assume state contains that next useful buffer
+            # So we only need to advance to num_stages - 1 times to last used buffer
+            for i in range(self.num_stages - 1):
+                state.advance()
+            self.producer_acquire(state)
+
+        if_generate(is_leader_cta, then_body)
diff --git a/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/dense_blockscaled_gemm_persistent.py b/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/dense_blockscaled_gemm_persistent.py
index 9c3496bd51d..058bb217394 100644
--- a/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/dense_blockscaled_gemm_persistent.py
+++ b/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/dense_blockscaled_gemm_persistent.py
@@ -58,6 +58,9 @@
 from cutlass.cute.nvgpu import cpasync, tcgen05
 from cutlass.cute.runtime import from_dlpack
 
+from tensorrt_llm._torch.cute_dsl_kernels.blackwell.custom_pipeline import (
+    PipelineTmaUmma, PipelineUmmaAsync)
+
 
 class Sm100BlockScaledPersistentDenseGemmKernel:
     """Implements batched matrix multiplication (C = A x SFA x B x SFB) with support for various data types
@@ -619,7 +622,7 @@ def kernel(
         num_tma_producer = self.num_mcast_ctas_a + self.num_mcast_ctas_b - 1
         ab_pipeline_consumer_group = pipeline.CooperativeGroup(
             pipeline.Agent.Thread, num_tma_producer)
-        ab_pipeline = pipeline.PipelineTmaUmma.create(
+        ab_pipeline = PipelineTmaUmma.create(
             barrier_storage=storage.ab_full_mbar_ptr.data_ptr(),
             num_stages=self.num_ab_stage,
             producer_group=ab_pipeline_producer_group,
@@ -635,7 +638,7 @@ def kernel(
             self.epilog_warp_id) * (2 if use_2cta_instrs else 1)
         acc_pipeline_consumer_group = pipeline.CooperativeGroup(
             pipeline.Agent.Thread, num_acc_consumer_threads)
-        acc_pipeline = pipeline.PipelineUmmaAsync.create(
+        acc_pipeline = PipelineUmmaAsync.create(
             barrier_storage=storage.acc_full_mbar_ptr.data_ptr(),
             num_stages=self.num_acc_stage,
             producer_group=acc_pipeline_producer_group,
@@ -654,7 +657,7 @@ def kernel(
 
         # Cluster arrive after barrier init
         if cute.size(self.cluster_shape_mn) > 1:
-            cute.arch.cluster_arrive_relaxed()
+            cute.arch.cluster_arrive_relaxed(aligned=True)
 
         #
         # Setup smem tensor A/B/SFA/SFB/C
@@ -709,9 +712,9 @@ def kernel(
                                    cute.slice_(self.mma_tiler, (None, 0, None)),
                                    (None, None, None))
         # (bN, bK, RestN, RestK, RestL)
-        gSFB_nkl = cute.local_tile(mSFB_nkl,
-                                   cute.slice_(self.mma_tiler, (0, None, None)),
-                                   (None, None, None))
+        gSFB_nkl = cute.local_tile(
+            mSFB_nkl, cute.slice_(self.mma_tiler_sfb, (0, None, None)),
+            (None, None, None))
         # (bM, bN, RestM, RestN, RestL)
         gC_mnl = cute.local_tile(mC_mnl,
                                  cute.slice_(self.mma_tiler, (None, None, 0)),
@@ -850,8 +853,11 @@ def kernel(
                 # ((atom_v, rest_v), RestK)
                 tAgSFA_slice = tAgSFA[(None, mma_tile_coord_mnl[0], None,
                                        mma_tile_coord_mnl[2])]
+                slice_n = mma_tile_coord_mnl[1]
+                if cutlass.const_expr(self.cta_tile_shape_mnk[1] == 64):
+                    slice_n = mma_tile_coord_mnl[1] // 2
                 # ((atom_v, rest_v), RestK)
-                tBgSFB_slice = tBgSFB[(None, mma_tile_coord_mnl[1], None,
+                tBgSFB_slice = tBgSFB[(None, slice_n, None,
                                        mma_tile_coord_mnl[2])]
 
                 # Peek (try_wait) AB buffer empty for k_block = prefetch_k_block_cnt
@@ -1022,6 +1028,18 @@ def kernel(
                 if is_leader_cta:
                     acc_pipeline.producer_acquire(acc_producer_state)
 
+                tCtSFB_mma = tCtSFB
+                if cutlass.const_expr(self.cta_tile_shape_mnk[1] == 64):
+                    # Move in increments of 64 columns of SFB
+                    offset = cutlass.Int32((mma_tile_coord_mnl[1] % 2) * 2)
+                    shifted_ptr = cute.recast_ptr(
+                        acc_tmem_ptr +
+                        tcgen05.find_tmem_tensor_col_offset(tCtAcc_base) +
+                        tcgen05.find_tmem_tensor_col_offset(tCtSFA) + offset,
+                        dtype=self.sf_dtype,
+                    )
+                    tCtSFB_mma = cute.make_tensor(shifted_ptr, tCtSFB_layout)
+
                 #
                 # Reset the ACCUMULATE field for each tile
                 #
@@ -1078,7 +1096,7 @@ def kernel(
                             )
                             tiled_mma.set(
                                 tcgen05.Field.SFB,
-                                tCtSFB[sf_kphase_coord].iterator,
+                                tCtSFB_mma[sf_kphase_coord].iterator,
                             )
 
                             cute.gemm(
@@ -1737,7 +1755,7 @@ def is_valid_mma_tiler_and_cluster_shape(
         # Skip invalid mma tile shape
         if not mma_tiler_mn[0] in [128, 256]:
             is_valid = False
-        if not mma_tiler_mn[1] in [128, 256]:
+        if not mma_tiler_mn[1] in [64, 128, 256]:
             is_valid = False
         # Skip illegal cluster shape
         if cluster_shape_mn[0] % (2 if mma_tiler_mn[0] == 256 else 1) != 0:
@@ -1925,6 +1943,7 @@ def __call__(
         alpha: cutlass.Float32,
         max_active_clusters: cutlass.Constexpr,
         current_stream: cuda.CUstream,
+        swap_ab: cutlass.Constexpr = False,
         epilogue_op: cutlass.Constexpr = lambda x: x,
     ):
         """Executes the wrapped GEMM kernel with dynamically shaped tensors.
@@ -1964,11 +1983,18 @@ def __call__(
             ),
         )
         # m, n, l
-        c_tensor = cute.make_tensor(c_ptr,
-                                    layout=cute.make_ordered_layout(
-                                        (m, n, l),
-                                        order=(1, 0, 2),
-                                    ))
+        if cutlass.const_expr(swap_ab):
+            c_tensor = cute.make_tensor(c_ptr,
+                                        layout=cute.make_ordered_layout(
+                                            (m, n, l),
+                                            order=(0, 1, 2),
+                                        ))
+        else:
+            c_tensor = cute.make_tensor(c_ptr,
+                                        layout=cute.make_ordered_layout(
+                                            (m, n, l),
+                                            order=(1, 0, 2),
+                                        ))
         # (1, int(sf_m/128), int(sf_k/4), 32, 4, 4).permute(3, 4, 1, 5, 2, 0) => (32, 4, int(sf_m/128), 4, int(sf_k/4), l)
         sfa_tensor = cute.make_tensor(a_sf_ptr,
                                       layout=cute.make_ordered_layout(
diff --git a/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/utils.py b/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/utils.py
index ed40b9b4629..23f94b8157c 100644
--- a/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/utils.py
+++ b/tensorrt_llm/_torch/cute_dsl_kernels/blackwell/utils.py
@@ -53,22 +53,22 @@
 
 # WAR for CuTeDSL make_ptr implementation
 class _Pointer(Pointer):
-    """Runtime representation of a pointer that can inter-operate with
-    various data structures, including numpy arrays and device memory.
-    :param pointer: The pointer to the data
-    :type pointer: int or pointer-like object
-    :param dtype: Data type of the elements pointed to
-    :type dtype: Type
-    :param mem_space: Memory space where the pointer resides, defaults generic
-    :type mem_space: _cute_ir.AddressSpace, optional
-    :param assumed_align: Alignment of input pointer in bytes, defaults None
-    :type assumed_align: int, optional
-    :ivar _pointer: The underlying pointer
-    :ivar _dtype: Data type of the elements
-    :ivar _addr_space: Memory space of the pointer
-    :ivar _assumed_align: Alignment of the pointer in bytes
-    :ivar _desc: C-type descriptor for the pointer
-    :ivar _c_pointer: C-compatible pointer representation
+    """Represents a runtime pointer that can interoperate with various data structures,
+    including numpy arrays and device memory.
+
+    Args:
+        pointer (int or pointer-like object): The pointer to the data.
+        dtype (Type): Data type of the elements pointed to.
+        mem_space (_cute_ir.AddressSpace, optional): Memory space where the pointer resides. Defaults to generic.
+        assumed_align (int, optional): Alignment of the input pointer in bytes. Defaults to None.
+
+    Attributes:
+        _pointer: The underlying pointer.
+        _dtype: Data type of the elements.
+        _addr_space: Memory space of the pointer.
+        _assumed_align: Alignment of the pointer in bytes.
+        _desc: C-type descriptor for the pointer.
+        _c_pointer: C-compatible pointer representation.
     """
 
     def __init__(
@@ -145,28 +145,31 @@ def make_ptr(
     mem_space: AddressSpace = AddressSpace.generic,
     assumed_align=None,
 ) -> Pointer:
-    """Create a pointer from a memory address
-    :param dtype: Data type of the pointer elements
-    :type dtype: Type[Numeric]
-    :param value: Memory address as integer or ctypes pointer
-    :type value: Union[int, ctypes._Pointer]
-    :param mem_space: Memory address space, defaults to AddressSpace.generic
-    :type mem_space: AddressSpace, optional
-    :param assumed_align: Alignment in bytes, defaults to None
-    :type assumed_align: int, optional
-    :return: A pointer object
-    :rtype: Pointer
-    .. code-block:: python
+    """Creates a pointer from a memory address.
+
+    Args:
+        dtype (Type[Numeric]): Data type of the pointer elements.
+        value (Union[int, ctypes._Pointer]): Memory address as an integer or ctypes pointer.
+        mem_space (AddressSpace, optional): Memory address space. Defaults to AddressSpace.generic.
+        assumed_align (int, optional): Alignment in bytes. Defaults to None.
+
+    Returns:
+        Pointer: A pointer object.
+
+    Example:
+        ```python
         import numpy as np
         import ctypes
         from cutlass import Float32
         from cutlass.cute.runtime import make_ptr
+
         # Create a numpy array
         a = np.random.randn(16, 32).astype(np.float32)
-        # Get pointer address as integer
+        # Get pointer address as ctypes pointer
         ptr_address = a.ctypes.data_as(ctypes.POINTER(ctypes.c_float))
         # Create pointer from address
         y = make_ptr(cutlass.Float32, ptr_address)
+        ```
     """
     # check if value is int or ctypes.POINTER
     if isinstance(value, int):
diff --git a/tests/unittest/_torch/thop/parallel/test_fp4_linear.py b/tests/unittest/_torch/thop/parallel/test_fp4_linear.py
index e2d8431298c..77614e48024 100644
--- a/tests/unittest/_torch/thop/parallel/test_fp4_linear.py
+++ b/tests/unittest/_torch/thop/parallel/test_fp4_linear.py
@@ -9,6 +9,7 @@
 from tensorrt_llm._torch.cute_dsl_utils import IS_CUTLASS_DSL_AVAILABLE
 from tensorrt_llm._torch.modules.linear import Linear
 from tensorrt_llm._utils import get_sm_version
+from tensorrt_llm.math_utils import pad_up
 from tensorrt_llm.models.modeling_utils import QuantAlgo, QuantConfig
 
 scaling_vector_size = 16
@@ -82,10 +83,6 @@ def test_fp4_linear(dtype):
     torch.testing.assert_close(output, output_ref)
 
 
-def pad_up(x, pad_size):
-    return (x + pad_size - 1) // pad_size * pad_size
-
-
 @pytest.mark.skipif(sys.version_info < (3, 12),
                     reason="cutlass-dsl 4.1.0 requires Python 3.12+")
 @pytest.mark.skipif(
@@ -263,6 +260,136 @@ def fp4_linear_perf_test(dtype, SEQ_LEN, OUTPUT_SIZE, HIDDEN_SIZE):
     torch.testing.assert_close(output, output_ref)
 
 
+# cold L2 cache for benchmarking (using circular buffer)
+def nvfp4_gemm_perf_test(
+    dtype,
+    SEQ_LEN,
+    OUTPUT_SIZE,
+    HIDDEN_SIZE,
+    test_ref=True,
+    use_cold_l2_cache=True,
+    warmup_iterations=2,
+    iterations=1000,
+):
+    import cutlass.cute as cute
+    import nvtx
+
+    torch.manual_seed(0)
+    x = torch.randn((SEQ_LEN, HIDDEN_SIZE), dtype=dtype).cuda()
+    x_sf_global = (448 * 6) / x.abs().max().float()
+    w = torch.randn((OUTPUT_SIZE, HIDDEN_SIZE), dtype=dtype).cuda()
+    w_sf_global = (448 * 6) / w.abs().max().float()
+    w_fp4, w_sf_block = torch.ops.trtllm.fp4_quantize(w, w_sf_global,
+                                                      scaling_vector_size,
+                                                      False)
+    x_fp4, x_sf_block = torch.ops.trtllm.fp4_quantize(x, x_sf_global,
+                                                      scaling_vector_size,
+                                                      False)
+
+    if use_cold_l2_cache:
+        one_workspace_bytes = (x_fp4.numel() * x_fp4.element_size() +
+                               w_fp4.numel() * w_fp4.element_size() +
+                               x_sf_block.numel() * x_sf_block.element_size() +
+                               w_sf_block.numel() * w_sf_block.element_size())
+        workspace_count = cute.testing.get_workspace_count(
+            one_workspace_bytes, warmup_iterations, iterations)
+        x_fp4_list = [x_fp4]
+        w_fp4_list = [w_fp4]
+        x_sf_block_list = [x_sf_block]
+        w_sf_block_list = [w_sf_block]
+        for _ in range(workspace_count - 1):
+            x_fp4_list.append(x_fp4.clone())
+            w_fp4_list.append(w_fp4.clone())
+            x_sf_block_list.append(x_sf_block.clone())
+            w_sf_block_list.append(w_sf_block.clone())
+    else:
+        workspace_count = 1
+        x_fp4_list = [x_fp4]
+        w_fp4_list = [w_fp4]
+        x_sf_block_list = [x_sf_block]
+        w_sf_block_list = [w_sf_block]
+
+    with torch.inference_mode(), autotune():
+        with nvtx.annotate(
+                f"cute_dsl tune, m={SEQ_LEN}, k={HIDDEN_SIZE}, n={OUTPUT_SIZE}",
+                color="orange",
+        ):
+            output = torch.ops.trtllm.cute_dsl_nvfp4_gemm_blackwell(
+                x_fp4, w_fp4, x_sf_block, w_sf_block, 1.0, dtype)
+
+    alpha_tensor = torch.tensor(1.0).cuda()
+    if test_ref:
+        with nvtx.annotate(
+                f"ref tune, m={SEQ_LEN}, k={HIDDEN_SIZE}, n={OUTPUT_SIZE}",
+                color="orange"):
+            with torch.inference_mode(), autotune():
+                output_ref = torch.ops.trtllm.nvfp4_gemm(
+                    x_fp4, w_fp4, x_sf_block, w_sf_block, alpha_tensor, dtype)
+        torch.testing.assert_close(output, output_ref)
+        print(f"PASSED")
+
+    buffer_idx = 0
+    with nvtx.annotate(
+            f"cute_dsl warmup, m={SEQ_LEN}, k={HIDDEN_SIZE}, n={OUTPUT_SIZE}",
+            color="green"):
+        for _ in range(warmup_iterations):
+            output = torch.ops.trtllm.cute_dsl_nvfp4_gemm_blackwell(
+                x_fp4_list[buffer_idx % workspace_count],
+                w_fp4_list[buffer_idx % workspace_count],
+                x_sf_block_list[buffer_idx % workspace_count],
+                w_sf_block_list[buffer_idx % workspace_count],
+                1.0,
+                dtype,
+            )
+            buffer_idx = buffer_idx + 1
+
+    with nvtx.annotate(
+            f"cute_dsl run, m={SEQ_LEN}, k={HIDDEN_SIZE}, n={OUTPUT_SIZE}",
+            color="green"):
+        for i in range(iterations):
+            output = torch.ops.trtllm.cute_dsl_nvfp4_gemm_blackwell(
+                x_fp4_list[buffer_idx % workspace_count],
+                w_fp4_list[buffer_idx % workspace_count],
+                x_sf_block_list[buffer_idx % workspace_count],
+                w_sf_block_list[buffer_idx % workspace_count],
+                1.0,
+                dtype,
+            )
+            buffer_idx = buffer_idx + 1
+
+    if test_ref:
+        torch.testing.assert_close(output, output_ref)
+        print(f"PASSED")
+
+        buffer_idx = 0
+        with nvtx.annotate(
+                f"ref warmup, m={SEQ_LEN}, k={HIDDEN_SIZE}, n={OUTPUT_SIZE}",
+                color="red"):
+            for _ in range(warmup_iterations):
+                output_ref = torch.ops.trtllm.nvfp4_gemm(
+                    x_fp4_list[buffer_idx % workspace_count],
+                    w_fp4_list[buffer_idx % workspace_count],
+                    x_sf_block_list[buffer_idx % workspace_count],
+                    w_sf_block_list[buffer_idx % workspace_count],
+                    alpha_tensor,
+                    dtype,
+                )
+                buffer_idx = buffer_idx + 1
+        with nvtx.annotate(
+                f"ref run, m={SEQ_LEN}, k={HIDDEN_SIZE}, n={OUTPUT_SIZE}",
+                color="red"):
+            for i in range(iterations):
+                output_ref = torch.ops.trtllm.nvfp4_gemm(
+                    x_fp4_list[buffer_idx % workspace_count],
+                    w_fp4_list[buffer_idx % workspace_count],
+                    x_sf_block_list[buffer_idx % workspace_count],
+                    w_sf_block_list[buffer_idx % workspace_count],
+                    alpha_tensor,
+                    dtype,
+                )
+                buffer_idx = buffer_idx + 1
+
+
 if __name__ == "__main__":
     # m, n, k
     fp4_linear_perf_test(torch.bfloat16, 128, 7168, 16384)
@@ -270,3 +397,18 @@ def fp4_linear_perf_test(dtype, SEQ_LEN, OUTPUT_SIZE, HIDDEN_SIZE):
     fp4_linear_perf_test(torch.bfloat16, 128, 2112, 7168)
     fp4_linear_perf_test(torch.bfloat16, 128, 4096, 7168)
     fp4_linear_perf_test(torch.bfloat16, 128, 7168, 2048)
+
+    # group-1 test cases
+    for tokens in [128, 8192]:
+        nvfp4_gemm_perf_test(torch.bfloat16, tokens, 7168, 16384)
+        nvfp4_gemm_perf_test(torch.bfloat16, tokens, 24576, 1536)
+        nvfp4_gemm_perf_test(torch.bfloat16, tokens, 2112, 7168)
+        nvfp4_gemm_perf_test(torch.bfloat16, tokens, 4096, 7168)
+        nvfp4_gemm_perf_test(torch.bfloat16, tokens, 7168, 2048)
+
+    # group-2 test cases
+    for m in [128, 256, 512]:
+        nvfp4_gemm_perf_test(torch.bfloat16, m, 131584, 7168)
+        nvfp4_gemm_perf_test(torch.bfloat16, m, 7168, 65792)
+        nvfp4_gemm_perf_test(torch.bfloat16, m, 227368, 2560, test_ref=False)
+        nvfp4_gemm_perf_test(torch.bfloat16, m, 2560, 113664)

From 026f22eb503849e503985c1b6e8ed3bc9bc9e6fe Mon Sep 17 00:00:00 2001
From: dongfengy <99041270+dongfengy@users.noreply.github.com>
Date: Thu, 18 Sep 2025 07:50:26 -0700
Subject: [PATCH 11/76] [None][doc] Cherry-pick deployment guide update from
 1.1.0rc2 branch to main branch (#7774)

Signed-off-by: Dongfeng Yu <dongfengy@nvidia.com>
---
 .../quick-start-recipe-for-gpt-oss-on-trtllm.md           | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/docs/source/deployment-guide/quick-start-recipe-for-gpt-oss-on-trtllm.md b/docs/source/deployment-guide/quick-start-recipe-for-gpt-oss-on-trtllm.md
index 71180774f22..243b2609e80 100644
--- a/docs/source/deployment-guide/quick-start-recipe-for-gpt-oss-on-trtllm.md
+++ b/docs/source/deployment-guide/quick-start-recipe-for-gpt-oss-on-trtllm.md
@@ -72,7 +72,7 @@ cuda_graph_config:
   max_batch_size: 720
 moe_config:
     backend: TRTLLM
-stream_interval: 10
+stream_interval: 20
 num_postprocess_workers: 4
 EOF
 ```
@@ -89,8 +89,12 @@ cuda_graph_config:
   max_batch_size: 720
 moe_config:
     backend: CUTLASS
-stream_interval: 10
+stream_interval: 20
 num_postprocess_workers: 4
+attention_dp_config:
+    enable_balance: true
+    batching_wait_iters: 50
+    timeout_iters: 1
 EOF
 ```
 

From 80dd8fe1973323eb8f01060788c0d5485a0ce0f8 Mon Sep 17 00:00:00 2001
From: sunnyqgg <159101675+sunnyqgg@users.noreply.github.com>
Date: Fri, 19 Sep 2025 00:05:36 +0800
Subject: [PATCH 12/76] [TRTLLM-6746][feat] Enable two-model spec dec for MTP
 Eagle (#7001)

Signed-off-by: qgai <qgai@nvidia.com>
---
 examples/llm-api/quickstart_advanced.py       |    9 +-
 tensorrt_llm/_torch/models/modeling_auto.py   |    2 +
 .../_torch/models/modeling_deepseekv3.py      | 2407 +++++++++--------
 .../_torch/models/modeling_speculative.py     |  117 +-
 .../_torch/pyexecutor/py_executor_creator.py  |    3 +
 tensorrt_llm/_torch/speculative/eagle3.py     |    4 +-
 tensorrt_llm/_torch/speculative/interface.py  |   28 +-
 .../_torch/speculative/model_drafter.py       |    2 +-
 tensorrt_llm/_torch/speculative/mtp.py        |    6 +-
 tensorrt_llm/_torch/speculative/utils.py      |   42 +-
 tensorrt_llm/llmapi/llm_args.py               |   13 +-
 tests/integration/defs/test_e2e.py            |   30 +
 12 files changed, 1431 insertions(+), 1232 deletions(-)
 mode change 100644 => 100755 tensorrt_llm/_torch/models/modeling_deepseekv3.py
 mode change 100644 => 100755 tensorrt_llm/_torch/models/modeling_speculative.py

diff --git a/examples/llm-api/quickstart_advanced.py b/examples/llm-api/quickstart_advanced.py
index 61240b496de..14587f9e883 100644
--- a/examples/llm-api/quickstart_advanced.py
+++ b/examples/llm-api/quickstart_advanced.py
@@ -170,16 +170,15 @@ def setup_llm(args, **kwargs):
 
     if spec_decode_algo == 'MTP':
         if not args.use_one_model:
-            print(
-                "MTP only supports one model style spec decode; ignoring default use_one_model=False"
-            )
-
+            print("Running MTP eagle with two model style.")
         spec_config = MTPDecodingConfig(
             num_nextn_predict_layers=args.spec_decode_max_draft_len,
             use_relaxed_acceptance_for_thinking=args.
             use_relaxed_acceptance_for_thinking,
             relaxed_topk=args.relaxed_topk,
-            relaxed_delta=args.relaxed_delta)
+            relaxed_delta=args.relaxed_delta,
+            mtp_eagle_one_model=args.use_one_model,
+            speculative_model_dir=args.model_dir)
     elif spec_decode_algo == "EAGLE3":
         spec_config = EagleDecodingConfig(
             max_draft_len=args.spec_decode_max_draft_len,
diff --git a/tensorrt_llm/_torch/models/modeling_auto.py b/tensorrt_llm/_torch/models/modeling_auto.py
index cd73919ca2c..5788a9b2a5c 100644
--- a/tensorrt_llm/_torch/models/modeling_auto.py
+++ b/tensorrt_llm/_torch/models/modeling_auto.py
@@ -31,6 +31,8 @@ def from_config(
                                         "")  # Strip the appended EAGLE3
         if hasattr(config.pretrained_config, "draft_vocab_size"):
             model_arch = "EAGLE3" + model_arch
+        if model_arch == "DeepseekV3ForCausalLM" and config.spec_config is not None and config.spec_config.max_draft_len == 0:
+            model_arch = "MTPDraftModelForCausalLM"
 
         cls = MODEL_CLASS_MAPPING.get(model_arch)
         if cls is None:
diff --git a/tensorrt_llm/_torch/models/modeling_deepseekv3.py b/tensorrt_llm/_torch/models/modeling_deepseekv3.py
old mode 100644
new mode 100755
index e8c6106b4b2..2dd93b36627
--- a/tensorrt_llm/_torch/models/modeling_deepseekv3.py
+++ b/tensorrt_llm/_torch/models/modeling_deepseekv3.py
@@ -136,638 +136,681 @@ def moe_reduce_add_shared_output(routed_output, shared_output):
     return shared_output + routed_output
 
 
-class DeepseekV3MTPHead(nn.Module):
+class DeepseekV3WeightLoader:
 
-    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
-        super().__init__()
-        config = model_config.pretrained_config
-        self.model_config = model_config
+    def __init__(self, model, is_draft_model: bool = False):
+        self.model = model
+        self.config = model.config
+        self.model_config = model.model_config
+        self.is_draft_model = is_draft_model
 
-        self.norm = RMSNorm(hidden_size=config.hidden_size,
-                            eps=config.rms_norm_eps,
-                            dtype=config.torch_dtype)
-        if self.model_config.mapping.enable_attention_dp and \
-            getattr(self.model_config.mapping, 'enable_lm_head_tp_in_adp', False):
-            self.mapping_lm_head_tp = create_lm_head_tp_mapping(
-                self.model_config.mapping)
-        else:
-            self.mapping_lm_head_tp = self.model_config.mapping
+    def load_weights(self, weights: Dict):
 
-    @torch.compile(options={"max-autotune": True})
-    def get_last_token_states(self, hidden_states, attn_metadata):
-        last_tokens = torch.cumsum(
-            attn_metadata.seq_lens_cuda,
-            dim=0,
-            dtype=torch.long,
-        ) - 1
-        return hidden_states[last_tokens]
+        def rename_moe_weight(weights: Dict, rename_rules: Dict):
+            result = {}
+            for key, value in weights.items():
+                new_key = key
+                for old, new in rename_rules.items():
+                    new_key = new_key.replace(old, new)
+                result[new_key] = value
+            return result
 
-    def forward(self,
-                hidden_states: torch.Tensor,
-                lm_head: Linear,
-                attn_metadata: AttentionMetadata,
-                return_context_logits: bool = False) -> torch.Tensor:
-        if not return_context_logits:
-            if attn_metadata is not None:
-                hidden_states = self.get_last_token_states(
-                    hidden_states, attn_metadata)
-            else:
-                hidden_states = hidden_states[-1].unsqueeze(0)
+        ## Prepare weights for TP
+        def split(v, tp_size, idx, dim=0):
+            if tp_size == 1:
+                return v
+            if len(v.shape) == 1:
+                return torch.chunk(v, tp_size)[idx].contiguous()
+            return torch.chunk(v, tp_size, dim=dim)[idx].contiguous()
 
-        enable_attention_dp = self.model_config.mapping.enable_attention_dp
-        enable_lm_head_tp_in_adp = self.model_config.mapping.enable_lm_head_tp_in_adp
+        def split_matrix_tp(v, tensor_parallel, rank, dim):
+            return split(v, tensor_parallel, rank, dim=dim)
 
-        # Add pre-lm gather logic
-        if enable_lm_head_tp_in_adp:
-            # ADP + LM TP mode: perform All-Gather before LM_head
-            hidden_states = allgather(hidden_states,
-                                      self.mapping_lm_head_tp,
-                                      dim=0)
+        def load_kv_b_proj_and_k_b_proj_trans(module_name: str,
+                                              is_scale: bool) -> torch.Tensor:
+            weight_name = "weight" if not is_scale else "weight_scale_inv"
+            local_qk_nope_head_dim = qk_nope_head_dim if not is_scale else qk_nope_head_dim // 128
+            local_v_head_dim = v_head_dim if not is_scale else v_head_dim // 128
+            local_kv_lora_rank = kv_lora_rank if not is_scale else kv_lora_rank // 128
 
-        # Temporarily disable gather_output when not in ADP mode or (in ADP mode and LM TP is enabled)
-        if not enable_attention_dp or enable_lm_head_tp_in_adp:
-            lm_head.gather_output = False
-        logits = lm_head(hidden_states, is_spec_decoding_head=True)
-        if not enable_attention_dp or enable_lm_head_tp_in_adp:
-            lm_head.gather_output = True
-        return logits
+            kv_b_proj = weights[f"{module_name}.{weight_name}"][:].unflatten(
+                0,
+                [
+                    num_heads,
+                    local_qk_nope_head_dim + local_v_head_dim,
+                ],
+            )
 
+            if not self.model_config.mapping.enable_attention_dp:
+                kv_b_proj = split_matrix_tp(kv_b_proj, tp_size, tp_rank, 0)
+            k_nope_weight, v_weight = kv_b_proj.split(
+                [local_qk_nope_head_dim, local_v_head_dim],
+                dim=1,
+            )
+            weight_divisor = 1 if self.model_config.mapping.enable_attention_dp else tp_size
+            local_num_heads = num_heads // weight_divisor
 
-class DeepseekV3Linear(Linear):
-    """
-    A wrapper around Linear because we may optionally use min-latency kernels depending on input shapes.
-    """
+            k_nope_weight_trans = k_nope_weight.transpose(2, 1).contiguous()
 
-    def __init__(
-        self,
-        in_features: int,
-        out_features: int,
-        bias: bool = True,
-        dtype: torch.dtype = None,
-        mapping: Optional[Mapping] = None,
-        tensor_parallel_mode: Optional[TensorParallelMode] = None,
-        gather_output: bool = False,  # COLUMN parallel only
-        quant_config: Optional[QuantConfig] = None,
-        weights_loading_config: Optional[WeightsLoadingConfig] = None,
-        reduce_output: bool = True,  # ROW parallel only
-        skip_create_weights_in_init: bool = False,
-        use_custom_cublas_mm: bool = False,
-        lora: Optional[LoraLayer] = None,
-    ):
-        super().__init__(
-            in_features,
-            out_features,
-            bias,
-            dtype,
-            mapping,
-            tensor_parallel_mode,
-            gather_output,
-            quant_config,
-            weights_loading_config,
-            reduce_output,
-            skip_create_weights_in_init,
-            use_custom_cublas_mm,
-            lora,
-        )
+            kv_b_proj = torch.concat([
+                k_nope_weight.reshape(local_num_heads * local_qk_nope_head_dim,
+                                      local_kv_lora_rank),
+                v_weight.reshape(local_num_heads * local_v_head_dim,
+                                 local_kv_lora_rank)
+            ],
+                                     dim=0)
 
-    def apply_linear(self,
-                     input,
-                     bias,
-                     lora_params: Optional[dict] | None = None,
-                     layer_idx: Optional[int] | None = None):
-        num_tokens = input.shape[0]
-        if (not self.has_any_quant and 1 <= num_tokens <= 16
-                and get_sm_version() != 120):
-            output = torch.ops.trtllm.dsv3_fused_a_gemm_op(
-                input, self.weight.t(), bias, None)
-        else:
-            output = super().apply_linear(input, bias, lora_params, layer_idx)
-        return output
+            return kv_b_proj, k_nope_weight_trans
 
+        def load_kv_b_proj_and_k_b_proj_trans_dequant(
+                module_name: str) -> torch.Tensor:
+            weight_name = "weight"
+            local_qk_nope_head_dim = qk_nope_head_dim
+            local_v_head_dim = v_head_dim
+            local_kv_lora_rank = kv_lora_rank
 
-class DeepseekV3Attention(MLA):
+            kv_b_proj = weights[f"{module_name}.{weight_name}"][:].cuda()
 
-    def __init__(
-        self,
-        model_config: ModelConfig[PretrainedConfig],
-        layer_idx: Optional[int] = None,
-        aux_stream: Optional[torch.cuda.Stream] = None,
-    ):
-        config = model_config.pretrained_config
-        predicted_tokens_per_seq = model_config.spec_config.max_draft_len + 1 if model_config.spec_config is not None else 1
-        super().__init__(hidden_size=config.hidden_size,
-                         num_attention_heads=config.num_attention_heads,
-                         num_key_value_heads=config.num_key_value_heads,
-                         qk_rope_head_dim=config.qk_rope_head_dim,
-                         qk_nope_head_dim=config.qk_nope_head_dim,
-                         q_lora_rank=config.q_lora_rank,
-                         kv_lora_rank=config.kv_lora_rank,
-                         v_head_dim=config.v_head_dim,
-                         predicted_tokens_per_seq=predicted_tokens_per_seq,
-                         max_position_embeddings=config.max_position_embeddings,
-                         bias=False,
-                         pos_embd_params=PositionalEmbeddingParams(
-                             type=PositionEmbeddingType.yarn,
-                             rope=RopeParams.from_config(config),
-                             is_neox=False,
-                         ),
-                         layer_idx=layer_idx,
-                         dtype=config.torch_dtype,
-                         config=model_config,
-                         aux_stream=aux_stream)
-        self.kv_a_proj_with_mqa = DeepseekV3Linear(
-            config.hidden_size,
-            self.kv_lora_rank + self.qk_rope_head_dim +
-            (self.q_lora_rank if not self.is_lite else 0),
-            bias=False,
-            dtype=config.torch_dtype,
-            quant_config=model_config.get_quant_config(),
-            skip_create_weights_in_init=model_config.
-            skip_create_weights_in_init,
-            use_custom_cublas_mm=True)
+            weight_name = "weight_scale_inv"
+            kv_b_proj_scale = weights[f"{module_name}.{weight_name}"][:].cuda()
 
+            kv_b_proj = weight_dequant(kv_b_proj, kv_b_proj_scale)
+            kv_b_proj = kv_b_proj.unflatten(
+                0,
+                [
+                    num_heads,
+                    local_qk_nope_head_dim + local_v_head_dim,
+                ],
+            )
+            if not self.model_config.mapping.enable_attention_dp:
+                kv_b_proj = split_matrix_tp(kv_b_proj, tp_size, tp_rank, 0)
+            k_nope_weight, v_weight = kv_b_proj.split(
+                [local_qk_nope_head_dim, local_v_head_dim],
+                dim=1,
+            )
+            weight_divisor = 1 if self.model_config.mapping.enable_attention_dp else tp_size
+            local_num_heads = num_heads // weight_divisor
 
-class Deepseekv3RoutingImpl():
+            k_nope_weight_trans = k_nope_weight.transpose(2, 1).contiguous()
 
-    def __init__(
-        self,
-        top_k: int,
-        n_group: int,
-        topk_group: int,
-        routed_scaling_factor: float,
-        is_fused: bool = True,
-    ):
-        super().__init__()
-        self.top_k = top_k
-        self.topk_group = topk_group
-        self.n_group = n_group
-        self.routed_scaling_factor = routed_scaling_factor
-        self.is_fused = is_fused
+            kv_b_proj = torch.concat([
+                k_nope_weight.reshape(local_num_heads * local_qk_nope_head_dim,
+                                      local_kv_lora_rank),
+                v_weight.reshape(local_num_heads * local_v_head_dim,
+                                 local_kv_lora_rank)
+            ],
+                                     dim=0)
 
-    @torch.compile(options={"max-autotune": True})
-    def get_scores(self, logits, e_score_correction_bias):
-        scores = F.sigmoid(logits)
-        scores_with_bias = scores + e_score_correction_bias
-        return scores, scores_with_bias
+            return kv_b_proj, k_nope_weight_trans
 
-    def noaux_tc(self, logits, e_score_correction_bias):
-        n_group = self.n_group
-        scores, scores_with_bias = self.get_scores(logits,
-                                                   e_score_correction_bias)
-        scores_shape = list(scores_with_bias.shape)
+        def split_kv_b_proj(kv_b_proj: torch.Tensor,
+                            is_scale: bool) -> torch.Tensor:
+            local_qk_nope_head_dim = qk_nope_head_dim if not is_scale else qk_nope_head_dim // 128
+            local_v_head_dim = v_head_dim if not is_scale else v_head_dim // 128
 
-        if enable_llm_debug():
-            has_nan = torch.isnan(scores_with_bias).any()
-            if has_nan:
-                warnings.warn(
-                    "Detected NAN in the tensor scores_with_bias. Please check if it matches the expectation."
-                )
+            weight_divisor = 1 if self.model_config.mapping.enable_attention_dp else tp_size
+            local_num_heads = num_heads // weight_divisor
 
-        if not self.is_fused:
-            group_scores = torch.sum(torch.topk(
-                scores_with_bias.view(scores_shape[:-1] +
-                                      [n_group, scores_shape[-1] // n_group]),
-                k=2,
-                dim=-1,
-                largest=True,
-                sorted=True)[0],
-                                     dim=-1)
-            _, group_idx = torch.topk(group_scores,
-                                      k=self.topk_group,
-                                      dim=-1,
-                                      largest=True,
-                                      sorted=True)
-            group_mask = torch.zeros_like(group_scores)
-            group_mask.scatter_(-1, group_idx, 1)
-            score_mask = group_mask.unsqueeze(-1).expand(
-                scores_shape[:-1] +
-                [n_group, scores_shape[-1] // n_group]).reshape(scores_shape)
-            scores_with_bias = scores_with_bias * score_mask
-            _, topk_idx = torch.topk(scores_with_bias,
-                                     k=self.top_k,
-                                     dim=-1,
-                                     largest=True,
-                                     sorted=True)
-            new_mask = torch.zeros_like(scores)
-            new_mask.scatter_(-1, topk_idx, 1)
-            scores = scores * new_mask
-            score_sum = torch.sum(scores, dim=-1, keepdim=True) + 1e-20
-            scores = scores / score_sum * \
-                self.routed_scaling_factor
-            topk_values, topk_indices = torch.topk(scores,
-                                                   k=self.top_k,
-                                                   dim=-1,
-                                                   largest=True)
-            return topk_values, topk_indices
-        else:
-            topk_values, topk_indices = torch.ops.trtllm.noaux_tc_op(
-                scores, scores_with_bias, n_group, self.topk_group, self.top_k,
-                self.routed_scaling_factor)
-            return topk_values, topk_indices
-
-    def apply(
-        self, logits: torch.Tensor, e_score_correction_bias: torch.Tensor
-    ) -> tuple[torch.Tensor, torch.Tensor]:
-        topk_values, topk_indices = self.noaux_tc(logits,
-                                                  e_score_correction_bias)
-        return topk_indices.to(torch.int32), topk_values.to(torch.float32)
+            k_b_proj, v_b_proj = kv_b_proj.split([
+                local_num_heads * local_qk_nope_head_dim,
+                local_num_heads * local_v_head_dim
+            ],
+                                                 dim=0)
+            k_b_proj = k_b_proj.view(
+                [local_num_heads, local_qk_nope_head_dim, -1])
+            v_b_proj = v_b_proj.view([local_num_heads, local_v_head_dim, -1])
 
+            return k_b_proj, v_b_proj
 
-class DeepseekV3Gate(DeepSeekV3MoeRoutingMethod):
+        is_lite = self.config.q_lora_rank is None
+        num_heads = self.config.num_attention_heads
+        qk_nope_head_dim = self.config.qk_nope_head_dim
+        v_head_dim = self.config.v_head_dim
+        kv_lora_rank = self.config.kv_lora_rank
 
-    def __init__(
-        self,
-        hidden_size: int,
-        num_experts: int,
-        top_k: int,
-        n_group: int,
-        topk_group: int,
-        routed_scaling_factor: float,
-        dtype: Optional[torch.dtype] = None,
-        fuse_routing_kernel: bool = True,
-        apply_routing: bool = False,
-        moe_backend: str = 'CUTLASS',
-    ):
-        super().__init__(top_k=top_k)
-        self.weight = nn.Parameter(torch.empty((num_experts, hidden_size),
-                                               dtype=dtype),
-                                   requires_grad=False)
-        self.moe_backend = moe_backend
-        if moe_backend == 'TRTLLM':
-            bias_dtype = torch.bfloat16
-        else:
-            bias_dtype = torch.float32
+        tp_rank = self.model_config.mapping.tp_rank
+        tp_size = self.model_config.mapping.tp_size
 
-        self.e_score_correction_bias = nn.Parameter(torch.empty(
-            (num_experts), dtype=bias_dtype),
-                                                    requires_grad=False)
+        params_map = {'gate_up_proj': ['gate_proj', 'up_proj']}
+        all_named_modules = dict(self.model.named_modules())
 
-        assert not apply_routing, "DeepseekV3Gate routing is called inside MoE"
+        for name, module in tqdm(all_named_modules.items(),
+                                 desc="Loading weights"):
+            if len(module._parameters) <= 0 or name.startswith("draft_model"):
+                continue
+            else:
+                names = name.split('.')
+                parent_module_name = '.'.join(names[:-1])
+                if "model.layers" in name and int(
+                        names[2]) >= self.config.num_hidden_layers:
+                    mtp_layer_idx = int(
+                        names[2]) - self.config.num_hidden_layers
+                    names[2] = str(mtp_layer_idx %
+                                   self.config.num_nextn_predict_layers +
+                                   self.config.num_hidden_layers)
+                    name = '.'.join(names)
+                if names[-1] == "kv_b_proj":
+                    # TODO: remove weight_dequant after enabling fp8_bmm
+                    dequant_kv_b_proj = self.model_config.quant_config.is_module_excluded_from_quantization(
+                        names[-1])
+                    if dequant_kv_b_proj:
+                        kv_b_proj, k_b_proj_trans = load_kv_b_proj_and_k_b_proj_trans_dequant(
+                            name)
+                    else:
+                        kv_b_proj, k_b_proj_trans = load_kv_b_proj_and_k_b_proj_trans(
+                            name, is_scale=False)
+                    module.weight.data.copy_(
+                        kv_b_proj.reshape(module.weight.shape))
 
-        # TODO: e_score_correction_bias belongs in this gate class but is required by the routing impl.
-        # To avoid weight-loading issues, we treat this gate as the BaseMoeRoutingMethod and dispatch to the routing impl.
-        # This is a temporary hack that should be refactored later.
-        self.routing_impl = Deepseekv3RoutingImpl(
-            top_k=top_k,
-            n_group=n_group,
-            topk_group=topk_group,
-            routed_scaling_factor=routed_scaling_factor,
-            is_fused=fuse_routing_kernel)
+                    attn_module = all_named_modules[parent_module_name]
+                    _, v_b_proj = split_kv_b_proj(module.weight.data,
+                                                  is_scale=False)
+                    attn_module.v_b_proj = nn.Parameter(v_b_proj,
+                                                        requires_grad=False)
 
-    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
-        logits = torch.ops.trtllm.dsv3_router_gemm_op(hidden_states,
-                                                      self.weight.t(),
-                                                      bias=None,
-                                                      out_dtype=torch.float32)
-        return logits
+                    attn_module.k_b_proj_trans.data.copy_(
+                        k_b_proj_trans.reshape(
+                            attn_module.k_b_proj_trans.shape))
 
-    def load_weights(self, weights: List[Dict]):
-        assert len(weights) == 1
+                    if getattr(module, "weight_scale",
+                               None) is not None and not dequant_kv_b_proj:
+                        kv_b_proj_scale, k_b_proj_trans_scale = load_kv_b_proj_and_k_b_proj_trans(
+                            name, is_scale=True)
+                        module.weight_scale.copy_(
+                            kv_b_proj_scale.reshape(module.weight_scale.shape))
+                        attn_module.k_b_proj_trans_scale.copy_(
+                            k_b_proj_trans_scale.reshape(
+                                attn_module.k_b_proj_trans_scale.shape))
 
-        self.weight.copy_(weights[0]["weight"][:])
+                        _, v_b_proj_scale = split_kv_b_proj(
+                            module.weight_scale.data, is_scale=True)
+                        attn_module.v_b_proj_scale = nn.Parameter(
+                            v_b_proj_scale, requires_grad=False)
 
-        self.e_score_correction_bias.copy_(
-            weights[0]["e_score_correction_bias"][:].to(
-                self.e_score_correction_bias.dtype))
+                        if attn_module.k_b_proj_trans_dequant is not None:
+                            attn_module.k_b_proj_trans_dequant.data.copy_(
+                                weight_dequant(
+                                    k_b_proj_trans.view(
+                                        -1, k_b_proj_trans.shape[-1]).cuda(),
+                                    k_b_proj_trans_scale.view(
+                                        -1,
+                                        k_b_proj_trans_scale.shape[-1]).cuda(),
+                                ).view(
+                                    *attn_module.k_b_proj_trans_dequant.shape).
+                                to(attn_module.k_b_proj_trans_dequant.dtype))
+                        if attn_module.v_b_proj_dequant is not None:
+                            attn_module.v_b_proj_dequant.data.copy_(
+                                weight_dequant(
+                                    v_b_proj.view(-1,
+                                                  v_b_proj.shape[-1]).cuda(),
+                                    v_b_proj_scale.view(
+                                        -1, v_b_proj_scale.shape[-1]).cuda(),
+                                ).view(*attn_module.v_b_proj_dequant.shape).to(
+                                    attn_module.v_b_proj_dequant.dtype))
+                elif names[-1] == "kv_a_proj_with_mqa":
+                    fused_a = weights[
+                        f"{'.'.join(names[:-1])}.kv_a_proj_with_mqa.weight"][:]
+                    if not is_lite:
+                        q_a_proj = weights[
+                            f"{'.'.join(names[:-1])}.q_a_proj.weight"][:]
+                        fused_a = torch.cat([q_a_proj, fused_a], dim=0)
 
-    def apply(self, logits: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor]:
-        # topk routing
-        return self.routing_impl.apply(logits, self.e_score_correction_bias)
+                    if f"{'.'.join(names[:-1])}.kv_a_proj_with_mqa.weight_scale_inv" in weights:
+                        fused_a_scale = weights[
+                            f"{'.'.join(names[:-1])}.kv_a_proj_with_mqa.weight_scale_inv"]
+                        if not is_lite:
+                            q_a_proj_scale = weights[
+                                f"{'.'.join(names[:-1])}.q_a_proj.weight_scale_inv"][:]
+                            fused_a_scale = torch.cat(
+                                [q_a_proj_scale, fused_a_scale], dim=0)
 
-    @property
-    def routing_method(self) -> DeepSeekV3MoeRoutingMethod:
-        return self
+                        module.weight_scale.data.copy_(fused_a_scale)
 
-    def get_experts_per_token(self):
-        return self.routing_impl.top_k
+                    module.weight.data.copy_(fused_a)
+                elif names[-1] in params_map:
+                    module_weights = []
+                    for new_name in params_map[names[-1]]:
+                        module_weights.append(
+                            filter_weights('.'.join(names[:-1] + [new_name]),
+                                           weights))
+                    module.load_weights(weights=module_weights)
+                elif names[-1] == "experts":
+                    module_weights = filter_weights(name, weights)
+                    module_weights = rename_moe_weight(module_weights, {
+                        "down_proj": "w2",
+                        "up_proj": "w3",
+                        "gate_proj": "w1",
+                    })
+                    module.load_weights(weights=[module_weights])
+                elif names[-1] == "self_attn":
+                    continue
+                elif names[-1] == "next_layer_layernorm":
+                    continue
+                else:
+                    module_weights = filter_weights(name, weights)
+                    if hasattr(module, 'load_weights'):
+                        module.load_weights(weights=[module_weights])
+                    else:
+                        for n, p in module.named_parameters():
+                            p.data.copy_(module_weights[n][:])
 
+                if self.model_config.quant_config.layer_quant_mode.has_fp8_block_scales(
+                ) and is_sm_100f() and hasattr(module, "weight_scale"):
+                    weight, weight_scale = resmooth_to_fp8_e8m0(
+                        module.weight, module.weight_scale)
+                    transfromed_scale = transform_sf_into_required_layout(
+                        weight_scale,
+                        mn=weight.shape[0],
+                        k=weight.shape[1],
+                        recipe=(1, 128, 128),
+                        is_sfa=False)
+                    module.weight = nn.Parameter(weight, requires_grad=False)
+                    module.weight_scale = nn.Parameter(transfromed_scale,
+                                                       requires_grad=False)
+        if not self.is_draft_model:
+            for idx, layer in enumerate(
+                    self.model.model.layers[:self.config.num_hidden_layers]):
+                if idx == self.config.num_hidden_layers - 1:
+                    layer.next_layer_layernorm = self.model.model.norm
+                else:
+                    layer.next_layer_layernorm = self.model.model.layers[
+                        idx + 1].input_layernorm
 
-class Deepseekv3MoE(nn.Module):
 
-    def __init__(self,
-                 *,
-                 num_experts: int,
-                 top_k: int,
-                 hidden_size: int,
-                 intermediate_size: int,
-                 shared_expert_intermediate_size: int,
-                 aux_stream_dict: Dict[AuxStreamType, torch.cuda.Stream],
-                 dtype: Optional[torch.dtype] = None,
-                 model_config: ModelConfig = ModelConfig(),
-                 override_quant_config: Optional[QuantConfig] = None,
-                 layer_idx: Optional[int] = None):
-        from ..distributed import AllReduce
+class DeepseekV3MTPHead(nn.Module):
 
+    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
         super().__init__()
         config = model_config.pretrained_config
-        self.top_k = top_k
-        self.use_dp = model_config.mapping.enable_attention_dp
-        self.gate = DeepseekV3Gate(
-            hidden_size,
-            num_experts,
-            top_k=top_k,
-            n_group=config.n_group,
-            topk_group=config.topk_group,
-            routed_scaling_factor=config.routed_scaling_factor,
-            dtype=dtype,
-            fuse_routing_kernel=True,
-            apply_routing=False,
-            moe_backend=model_config.moe_backend)
-        self.experts = create_moe(
-            num_experts=num_experts,
-            routing_method=self.gate.routing_method,
-            hidden_size=hidden_size,
-            intermediate_size=intermediate_size,
-            dtype=dtype,
-            reduce_results=
-            False,  # In both low‑latency and attention‑DP modes, FusedMoE skips the in‑op all‑reduce.
-            model_config=model_config,
-            override_quant_config=override_quant_config,
-            aux_stream_dict=aux_stream_dict,
-            layer_idx=layer_idx,
-            # DS-R1 W4A8 is only supported through custom quantization script from
-            # examples/quantization/quantize_mixed_precision_moe.py
-            weight_loading_mode=(
-                MoEWeightLoadingMode.W4A8_CUSTOM
-                if self._get_experts_quant_config(
-                    model_config,
-                    layer_idx).layer_quant_mode.is_int4_weight_only_per_group()
-                else MoEWeightLoadingMode.VANILLA),
-        )
+        self.model_config = model_config
 
-        self.mapping = model_config.mapping
+        self.norm = RMSNorm(hidden_size=config.hidden_size,
+                            eps=config.rms_norm_eps,
+                            dtype=config.torch_dtype)
+        if self.model_config.mapping.enable_attention_dp and \
+            getattr(self.model_config.mapping, 'enable_lm_head_tp_in_adp', False):
+            self.mapping_lm_head_tp = create_lm_head_tp_mapping(
+                self.model_config.mapping)
+        else:
+            self.mapping_lm_head_tp = self.model_config.mapping
 
-        # FIXME: incompatible with mixed quantization mode (including excluding modules from quantization)
-        block_size = 1
-        if model_config.quant_config and model_config.quant_config.group_size is not None:
-            block_size = model_config.quant_config.group_size
+    @torch.compile(options={"max-autotune": True})
+    def get_last_token_states(self, hidden_states, attn_metadata):
+        last_tokens = torch.cumsum(
+            attn_metadata.seq_lens_cuda,
+            dim=0,
+            dtype=torch.long,
+        ) - 1
+        return hidden_states[last_tokens]
 
-        shared_tp_size, self.shared_output_scale = self._compute_shared_expert_tp_size(
-            shared_expert_intermediate_size, block_size)
+    def forward(self,
+                hidden_states: torch.Tensor,
+                lm_head: Linear,
+                attn_metadata: AttentionMetadata,
+                return_context_logits: bool = False) -> torch.Tensor:
+        if not return_context_logits:
+            if attn_metadata is not None:
+                hidden_states = self.get_last_token_states(
+                    hidden_states, attn_metadata)
+            else:
+                hidden_states = hidden_states[-1].unsqueeze(0)
 
-        self.shared_experts = GatedMLP(
-            hidden_size=hidden_size,
-            intermediate_size=shared_expert_intermediate_size,
-            bias=False,
-            dtype=dtype,
-            config=model_config,
-            overridden_tp_size=shared_tp_size,
-            reduce_output=False)
+        enable_attention_dp = self.model_config.mapping.enable_attention_dp
+        enable_lm_head_tp_in_adp = self.model_config.mapping.enable_lm_head_tp_in_adp
 
-        self.allreduce = AllReduce(mapping=model_config.mapping,
-                                   strategy=model_config.allreduce_strategy)
-        self.aux_stream = aux_stream_dict[AuxStreamType.MoeShared]
-        self.event_dict = {
-            key: torch.cuda.Event()
-            for key in [EventType.Main, EventType.MoeShared]
-        }
+        # Add pre-lm gather logic
+        if enable_lm_head_tp_in_adp:
+            # ADP + LM TP mode: perform All-Gather before LM_head
+            hidden_states = allgather(hidden_states,
+                                      self.mapping_lm_head_tp,
+                                      dim=0)
 
-    def _compute_shared_expert_tp_size(self, intermediate_size: int,
-                                       block_size: int) -> int:
-        """
-        In the case of Deepseek-R1, the TP size of MLP is capped by intermediate_size // block_size.
-        For example, when the intermediate_size is 2048 and block scaling size is 128,
-        TP sizes are limited to {1, 2, 4, 8, 16} because of 2048/128 = 16.
+        # Temporarily disable gather_output when not in ADP mode or (in ADP mode and LM TP is enabled)
+        if not enable_attention_dp or enable_lm_head_tp_in_adp:
+            lm_head.gather_output = False
+        logits = lm_head(hidden_states, is_spec_decoding_head=True)
+        if not enable_attention_dp or enable_lm_head_tp_in_adp:
+            lm_head.gather_output = True
+        return logits
 
-        Args:
-            intermediate_size (int): MLP intermediate size.
-            block_size (int): The quantization block scale size. In the case of Deepseek FP8 recipe,
-                it's 128. For NVFP4, it's 16.
 
-        Returns:
-            int: The computed tp_size.
-        """
+class DeepseekV3Linear(Linear):
+    """
+    A wrapper around Linear because we may optionally use min-latency kernels depending on input shapes.
+    """
 
-        assert intermediate_size % block_size == 0, "intermediate_size must be divisible by block_size."
+    def __init__(
+        self,
+        in_features: int,
+        out_features: int,
+        bias: bool = True,
+        dtype: torch.dtype = None,
+        mapping: Optional[Mapping] = None,
+        tensor_parallel_mode: Optional[TensorParallelMode] = None,
+        gather_output: bool = False,  # COLUMN parallel only
+        quant_config: Optional[QuantConfig] = None,
+        weights_loading_config: Optional[WeightsLoadingConfig] = None,
+        reduce_output: bool = True,  # ROW parallel only
+        skip_create_weights_in_init: bool = False,
+        use_custom_cublas_mm: bool = False,
+        lora: Optional[LoraLayer] = None,
+    ):
+        super().__init__(
+            in_features,
+            out_features,
+            bias,
+            dtype,
+            mapping,
+            tensor_parallel_mode,
+            gather_output,
+            quant_config,
+            weights_loading_config,
+            reduce_output,
+            skip_create_weights_in_init,
+            use_custom_cublas_mm,
+            lora,
+        )
 
-        shared_output_scale = None
-        # The block scale size is 128, which requires shared_expert_intermediate_size to be divisible by 128.
-        if self.use_dp:
-            # If using attention DP, the shared experts also use DP instead of TP.
-            shared_tp_size = 1
+    def apply_linear(self,
+                     input,
+                     bias,
+                     lora_params: Optional[dict] | None = None,
+                     layer_idx: Optional[int] | None = None):
+        num_tokens = input.shape[0]
+        if (not self.has_any_quant and 1 <= num_tokens <= 16
+                and get_sm_version() != 120):
+            output = torch.ops.trtllm.dsv3_fused_a_gemm_op(
+                input, self.weight.t(), bias, None)
         else:
-            # Due to the restriction of block scale size (i.e., 128), the supported TP sizes only include 1, 2, 4, 8, and 16.
-            # The math.gcd operation ensures that shared_tp_size falls in the supported TP sizes.
-            shared_tp_size = math.gcd(
-                intermediate_size // block_size,
-                self.mapping.tp_size,
-            )
-            # If shared_tp_size has been overridden, the output of shared experts needs to be scaled down accordingly before all-reduce.
-            if shared_tp_size != self.mapping.tp_size:
-                shared_output_scale = shared_tp_size / self.mapping.tp_size
-
-        return shared_tp_size, shared_output_scale
+            output = super().apply_linear(input, bias, lora_params, layer_idx)
+        return output
 
-    @staticmethod
-    def _get_experts_quant_config(model_config, layer_idx: int) -> QuantConfig:
-        if getattr(model_config, "quant_config_dict", None) is None:
-            return model_config.quant_config
-        return model_config.quant_config_dict.get(
-            f"model.layers.{layer_idx}.mlp.experts", model_config.quant_config)
 
-    def compute_routed_output(self, hidden_states, hidden_states_fp4,
-                              all_rank_num_tokens, do_finalize):
-        # max-throughput
-        use_dp_padding = False
-        if self.use_dp and self.mapping.tp_size > 1:
-            if isinstance(self.experts, TRTLLMGenFusedMoE):
-                hidden_states = allgather(hidden_states,
-                                          self.mapping,
-                                          dim=0,
-                                          sizes=all_rank_num_tokens)
+class DeepseekV3Attention(MLA):
 
-        router_logits = self.gate(hidden_states)
+    def __init__(
+        self,
+        model_config: ModelConfig[PretrainedConfig],
+        layer_idx: Optional[int] = None,
+        aux_stream: Optional[torch.cuda.Stream] = None,
+    ):
+        config = model_config.pretrained_config
+        predicted_tokens_per_seq = model_config.spec_config.max_draft_len + 1 if model_config.spec_config is not None else 1
+        super().__init__(hidden_size=config.hidden_size,
+                         num_attention_heads=config.num_attention_heads,
+                         num_key_value_heads=config.num_key_value_heads,
+                         qk_rope_head_dim=config.qk_rope_head_dim,
+                         qk_nope_head_dim=config.qk_nope_head_dim,
+                         q_lora_rank=config.q_lora_rank,
+                         kv_lora_rank=config.kv_lora_rank,
+                         v_head_dim=config.v_head_dim,
+                         predicted_tokens_per_seq=predicted_tokens_per_seq,
+                         max_position_embeddings=config.max_position_embeddings,
+                         bias=False,
+                         pos_embd_params=PositionalEmbeddingParams(
+                             type=PositionEmbeddingType.yarn,
+                             rope=RopeParams.from_config(config),
+                             is_neox=False,
+                         ),
+                         layer_idx=layer_idx,
+                         dtype=config.torch_dtype,
+                         config=model_config,
+                         aux_stream=aux_stream)
+        self.kv_a_proj_with_mqa = DeepseekV3Linear(
+            config.hidden_size,
+            self.kv_lora_rank + self.qk_rope_head_dim +
+            (self.q_lora_rank if not self.is_lite else 0),
+            bias=False,
+            dtype=config.torch_dtype,
+            quant_config=model_config.get_quant_config(),
+            skip_create_weights_in_init=model_config.
+            skip_create_weights_in_init,
+            use_custom_cublas_mm=True)
 
-        routed_output = self.experts(
-            hidden_states_fp4
-            if hidden_states_fp4 is not None else hidden_states,
-            router_logits,
-            do_finalize=do_finalize,
-            output_dtype=hidden_states.dtype,
-            all_rank_num_tokens=all_rank_num_tokens,
-            use_dp_padding=use_dp_padding,
-        )
 
-        return routed_output
+class Deepseekv3RoutingImpl():
 
-    def forward(
+    def __init__(
         self,
-        hidden_states: torch.Tensor,
-        hidden_states_fp4: Optional[Fp4QuantizedTensor] = None,
-        all_rank_num_tokens: Optional[list[int]] = None,
-        final_all_reduce_params: Optional[AllReduceParams] = None,
-        do_finalize: Optional[bool] = True,
-    ) -> torch.Tensor:
-        if not do_finalize:
-            assert not self.use_dp
-
-        def _compute_shared_output():
-            shared_output = self.shared_experts(
-                hidden_states_fp4
-                if hidden_states_fp4 is not None else hidden_states)
-            if self.shared_output_scale is not None:
-                shared_output *= self.shared_output_scale
-            return shared_output
+        top_k: int,
+        n_group: int,
+        topk_group: int,
+        routed_scaling_factor: float,
+        is_fused: bool = True,
+    ):
+        super().__init__()
+        self.top_k = top_k
+        self.topk_group = topk_group
+        self.n_group = n_group
+        self.routed_scaling_factor = routed_scaling_factor
+        self.is_fused = is_fused
 
-        def _compute_routed_output():
-            routed_output = self.compute_routed_output(hidden_states,
-                                                       hidden_states_fp4,
-                                                       all_rank_num_tokens,
-                                                       do_finalize)
-            return routed_output
+    @staticmethod
+    @torch.compile(options={"max-autotune": True})
+    def get_scores(logits, e_score_correction_bias):
+        scores = F.sigmoid(logits)
+        scores_with_bias = scores + e_score_correction_bias
+        return scores, scores_with_bias
 
-        # NOTE: define compiled helpers at module scope to avoid defining decorators inside compiled frames
+    def noaux_tc(self, logits, e_score_correction_bias):
+        n_group = self.n_group
+        scores, scores_with_bias = Deepseekv3RoutingImpl.get_scores(
+            logits, e_score_correction_bias)
+        scores_shape = list(scores_with_bias.shape)
 
-        routed_output, shared_output = maybe_execute_in_parallel(
-            _compute_routed_output, _compute_shared_output,
-            self.event_dict[EventType.Main],
-            self.event_dict[EventType.MoeShared], self.aux_stream)
+        if enable_llm_debug():
+            has_nan = torch.isnan(scores_with_bias).any()
+            if has_nan:
+                warnings.warn(
+                    "Detected NAN in the tensor scores_with_bias. Please check if it matches the expectation."
+                )
 
-        if not do_finalize:
-            return [shared_output, *routed_output]
+        if not self.is_fused:
+            group_scores = torch.sum(torch.topk(
+                scores_with_bias.view(scores_shape[:-1] +
+                                      [n_group, scores_shape[-1] // n_group]),
+                k=2,
+                dim=-1,
+                largest=True,
+                sorted=True)[0],
+                                     dim=-1)
+            _, group_idx = torch.topk(group_scores,
+                                      k=self.topk_group,
+                                      dim=-1,
+                                      largest=True,
+                                      sorted=True)
+            group_mask = torch.zeros_like(group_scores)
+            group_mask.scatter_(-1, group_idx, 1)
+            score_mask = group_mask.unsqueeze(-1).expand(
+                scores_shape[:-1] +
+                [n_group, scores_shape[-1] // n_group]).reshape(scores_shape)
+            scores_with_bias = scores_with_bias * score_mask
+            _, topk_idx = torch.topk(scores_with_bias,
+                                     k=self.top_k,
+                                     dim=-1,
+                                     largest=True,
+                                     sorted=True)
+            new_mask = torch.zeros_like(scores)
+            new_mask.scatter_(-1, topk_idx, 1)
+            scores = scores * new_mask
+            score_sum = torch.sum(scores, dim=-1, keepdim=True) + 1e-20
+            scores = scores / score_sum * \
+                self.routed_scaling_factor
+            topk_values, topk_indices = torch.topk(scores,
+                                                   k=self.top_k,
+                                                   dim=-1,
+                                                   largest=True)
+            return topk_values, topk_indices
         else:
-            if routed_output.dim() == 3:
-                assert shared_output.numel(
-                ) * self.top_k == routed_output.numel(
-                ), 'unmatched tensor shape'
-                final_hidden_states = moe_reduce_add_shared_output(
-                    routed_output, shared_output)
-            else:
-                assert shared_output.size() == routed_output.size(
-                ), 'unmatched tensor shape'
-                final_hidden_states = shared_output + routed_output
-
-            if not self.use_dp and self.mapping.tp_size > 1:
-                final_hidden_states = self.allreduce(
-                    final_hidden_states,
-                    all_reduce_params=final_all_reduce_params)
-
-            return final_hidden_states
+            topk_values, topk_indices = torch.ops.trtllm.noaux_tc_op(
+                scores, scores_with_bias, n_group, self.topk_group, self.top_k,
+                self.routed_scaling_factor)
+            return topk_values, topk_indices
 
+    def apply(
+        self, logits: torch.Tensor, e_score_correction_bias: torch.Tensor
+    ) -> tuple[torch.Tensor, torch.Tensor]:
+        topk_values, topk_indices = self.noaux_tc(logits,
+                                                  e_score_correction_bias)
+        return topk_indices.to(torch.int32), topk_values.to(torch.float32)
 
-class DeepseekV3DecoderLayer(DecoderLayer):
 
-    def __init__(self, model_config: ModelConfig[PretrainedConfig],
-                 layer_idx: int, aux_stream_dict: Dict[AuxStreamType,
-                                                       torch.cuda.Stream]):
-        super().__init__()
-        self.model_config = model_config
-        self.config = model_config.pretrained_config
-        config = self.config
+class DeepseekV3Gate(DeepSeekV3MoeRoutingMethod):
 
-        self.hidden_size = config.hidden_size
-        self.moe_intermediate_size = config.moe_intermediate_size
-        self.num_experts = config.n_routed_experts
-        self.num_shared_experts = config.n_shared_experts
-        self.top_k = config.num_experts_per_tok
+    def __init__(
+        self,
+        hidden_size: int,
+        num_experts: int,
+        top_k: int,
+        n_group: int,
+        topk_group: int,
+        routed_scaling_factor: float,
+        dtype: Optional[torch.dtype] = None,
+        fuse_routing_kernel: bool = True,
+        apply_routing: bool = False,
+        moe_backend: str = 'CUTLASS',
+    ):
+        super().__init__(top_k=top_k)
+        self.weight = nn.Parameter(torch.empty((num_experts, hidden_size),
+                                               dtype=dtype),
+                                   requires_grad=False)
+        self.moe_backend = moe_backend
+        if moe_backend == 'TRTLLM':
+            bias_dtype = torch.bfloat16
+        else:
+            bias_dtype = torch.float32
 
-        self.mapping = model_config.mapping
-        mapping = self.mapping
+        self.e_score_correction_bias = nn.Parameter(torch.empty(
+            (num_experts), dtype=bias_dtype),
+                                                    requires_grad=False)
 
-        self.self_attn = DeepseekV3Attention(
-            model_config,
-            layer_idx=layer_idx,
-            aux_stream=aux_stream_dict[AuxStreamType.Attention])
-        self.enable_attention_dp = mapping.enable_attention_dp
+        assert not apply_routing, "DeepseekV3Gate routing is called inside MoE"
 
-        self.mlp_tp_size = mapping.tp_size
-        self.is_p2p_supported = can_access_peer(mapping)
+        # TODO: e_score_correction_bias belongs in this gate class but is required by the routing impl.
+        # To avoid weight-loading issues, we treat this gate as the BaseMoeRoutingMethod and dispatch to the routing impl.
+        # This is a temporary hack that should be refactored later.
+        self.routing_impl = Deepseekv3RoutingImpl(
+            top_k=top_k,
+            n_group=n_group,
+            topk_group=topk_group,
+            routed_scaling_factor=routed_scaling_factor,
+            is_fused=fuse_routing_kernel)
 
-        self.fusion_config = EagerFusionConfig()
-        self.enable_fusion = os.environ.get(
-            "TRTLLM_DEEPSEEK_EAGER_FUSION_DISABLED", "0") == "0"
-        self.enable_fusion &= not self.enable_attention_dp
+    def forward(self, hidden_states: torch.Tensor) -> torch.Tensor:
+        logits = torch.ops.trtllm.dsv3_router_gemm_op(hidden_states,
+                                                      self.weight.t(),
+                                                      bias=None,
+                                                      out_dtype=torch.float32)
+        return logits
 
-        # FIXME: incompatible with mixed quantization mode
-        quant_config = self._get_decoder_layer_quant_config(
-            model_config, layer_idx)
-        self.is_nvfp4 = quant_config.layer_quant_mode.has_nvfp4()
-        assert (
-            quant_config.quant_algo
-            is not QuantAlgo.MIXED_PRECISION), "MIXED_PRECISION is ambiguous"
+    def load_weights(self, weights: List[Dict]):
+        assert len(weights) == 1
 
-        has_tp = mapping.has_tp()
-        self.allreduce = AllReduce(mapping=model_config.mapping,
-                                   strategy=model_config.allreduce_strategy,
-                                   dtype=config.torch_dtype)
-        self.moe_allreduce = MoEAllReduce(self.mapping)
+        self.weight.copy_(weights[0]["weight"][:])
 
-        if (config.n_routed_experts is not None
-                and layer_idx >= config.first_k_dense_replace
-                and layer_idx % config.moe_layer_freq == 0):
+        self.e_score_correction_bias.copy_(
+            weights[0]["e_score_correction_bias"][:].to(
+                self.e_score_correction_bias.dtype))
 
-            self.fusion_config.PRE_MOE_FUSION = self.enable_fusion and has_tp
-            self.fusion_config.POST_MOE_FUSION = self.fusion_config.PRE_MOE_FUSION
+    def apply(self, logits: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor]:
+        # topk routing
+        return self.routing_impl.apply(logits, self.e_score_correction_bias)
 
-            self.mlp = Deepseekv3MoE(
-                num_experts=self.num_experts,
-                top_k=self.top_k,
-                hidden_size=self.hidden_size,
-                intermediate_size=self.moe_intermediate_size,
-                shared_expert_intermediate_size=self.moe_intermediate_size *
-                self.num_shared_experts,
-                dtype=config.torch_dtype,
-                model_config=model_config,
-                override_quant_config=quant_config,
-                aux_stream_dict=aux_stream_dict,
-                layer_idx=layer_idx)
-        else:
-            block_size = 1
-            if quant_config and quant_config.group_size is not None:
-                block_size = quant_config.group_size
-            self.mlp_tp_size = self._compute_mlp_tp_size(
-                config.intermediate_size, block_size)
+    @property
+    def routing_method(self) -> DeepSeekV3MoeRoutingMethod:
+        return self
 
-            has_mlp_tp = self.mlp_tp_size > 1
-            self.fusion_config.PRE_MLP_FUSION = self.enable_fusion and has_mlp_tp and self.is_nvfp4
-            self.fusion_config.POST_MLP_FUSION = self.enable_fusion and has_mlp_tp
+    def get_experts_per_token(self):
+        return self.routing_impl.top_k
 
-            self.mlp = GatedMLP(hidden_size=config.hidden_size,
-                                intermediate_size=config.intermediate_size,
-                                bias=False,
-                                dtype=config.torch_dtype,
-                                config=model_config,
-                                overridden_tp_size=self.mlp_tp_size,
-                                reduce_output=True)
 
-        self.input_layernorm = RMSNorm(hidden_size=config.hidden_size,
-                                       eps=config.rms_norm_eps,
-                                       dtype=config.torch_dtype)
+class Deepseekv3MoE(nn.Module):
 
-        self.disable_attn_allreduce = (self.fusion_config.PRE_MOE_FUSION
-                                       or self.fusion_config.PRE_MLP_FUSION
-                                       or self.mapping.tp_size == 1
-                                       or self.enable_attention_dp)
+    def __init__(self,
+                 *,
+                 num_experts: int,
+                 top_k: int,
+                 hidden_size: int,
+                 intermediate_size: int,
+                 shared_expert_intermediate_size: int,
+                 aux_stream_dict: Dict[AuxStreamType, torch.cuda.Stream],
+                 dtype: Optional[torch.dtype] = None,
+                 model_config: ModelConfig = ModelConfig(),
+                 override_quant_config: Optional[QuantConfig] = None,
+                 layer_idx: Optional[int] = None):
+        from ..distributed import AllReduce
 
-        self.post_attention_layernorm = RMSNorm(hidden_size=config.hidden_size,
-                                                eps=config.rms_norm_eps,
-                                                dtype=config.torch_dtype)
-        self.layer_idx = layer_idx
-        self.next_layer_layernorm: RMSNorm = None
+        super().__init__()
+        config = model_config.pretrained_config
+        self.top_k = top_k
+        self.use_dp = model_config.mapping.enable_attention_dp
+        self.gate = DeepseekV3Gate(
+            hidden_size,
+            num_experts,
+            top_k=top_k,
+            n_group=config.n_group,
+            topk_group=config.topk_group,
+            routed_scaling_factor=config.routed_scaling_factor,
+            dtype=dtype,
+            fuse_routing_kernel=True,
+            apply_routing=False,
+            moe_backend=model_config.moe_backend)
+        self.experts = create_moe(
+            num_experts=num_experts,
+            routing_method=self.gate.routing_method,
+            hidden_size=hidden_size,
+            intermediate_size=intermediate_size,
+            dtype=dtype,
+            reduce_results=
+            False,  # In both low‑latency and attention‑DP modes, FusedMoE skips the in‑op all‑reduce.
+            model_config=model_config,
+            override_quant_config=override_quant_config,
+            aux_stream_dict=aux_stream_dict,
+            layer_idx=layer_idx,
+            # DS-R1 W4A8 is only supported through custom quantization script from
+            # examples/quantization/quantize_mixed_precision_moe.py
+            weight_loading_mode=(
+                MoEWeightLoadingMode.W4A8_CUSTOM
+                if self._get_experts_quant_config(
+                    model_config,
+                    layer_idx).layer_quant_mode.is_int4_weight_only_per_group()
+                else MoEWeightLoadingMode.VANILLA),
+        )
 
-    def _get_decoder_layer_quant_config(
-            self, model_config: ModelConfig[PretrainedConfig], layer_idx: int):
-        """
-        The MTP layer in the nvfp4 checkpoint is unquantized. Because the TRTLLM
-        moe_backend only supports fp8/fp4 quantization, we need to override
-        the quant_config for the MTP layer.
-        """
-        quant_config = model_config.quant_config
+        self.mapping = model_config.mapping
 
-        layer_name = f"model.layers.{layer_idx}"
-        if quant_config.is_module_excluded_from_quantization(layer_name):
-            return QuantConfig(
-                quant_algo=None,
-                kv_cache_quant_algo=quant_config.kv_cache_quant_algo,
-            )
-        else:
-            return model_config.quant_config
+        # FIXME: incompatible with mixed quantization mode (including excluding modules from quantization)
+        block_size = 1
+        if model_config.quant_config and model_config.quant_config.group_size is not None:
+            block_size = model_config.quant_config.group_size
 
-    def _compute_mlp_tp_size(self, intermediate_size: int,
-                             block_size: int) -> int:
+        shared_tp_size, self.shared_output_scale = self._compute_shared_expert_tp_size(
+            shared_expert_intermediate_size, block_size)
+
+        self.shared_experts = GatedMLP(
+            hidden_size=hidden_size,
+            intermediate_size=shared_expert_intermediate_size,
+            bias=False,
+            dtype=dtype,
+            config=model_config,
+            overridden_tp_size=shared_tp_size,
+            reduce_output=False)
+
+        self.allreduce = AllReduce(mapping=model_config.mapping,
+                                   strategy=model_config.allreduce_strategy)
+        self.aux_stream = aux_stream_dict[AuxStreamType.MoeShared]
+        self.event_dict = {
+            key: torch.cuda.Event()
+            for key in [EventType.Main, EventType.MoeShared]
+        }
+
+    def _compute_shared_expert_tp_size(
+            self, intermediate_size: int,
+            block_size: int) -> tuple[int, float | None]:
         """
-        For DeepSeek‑R1, MLP TP size is limited by intermediate_size // block_size
-        and must also be multiples of gpus_per_node to avoid expensive inter‑node allreduce.
+        In the case of Deepseek-R1, the TP size of MLP is capped by intermediate_size // block_size.
+        For example, when the intermediate_size is 2048 and block scaling size is 128,
+        TP sizes are limited to {1, 2, 4, 8, 16} because of 2048/128 = 16.
 
         Args:
             intermediate_size (int): MLP intermediate size.
@@ -775,751 +818,733 @@ def _compute_mlp_tp_size(self, intermediate_size: int,
                 it's 128. For NVFP4, it's 16.
 
         Returns:
-            int: The computed tp_size.
+            tuple[int, float | None]: A tuple containing (shared_tp_size, shared_output_scale).
+                - shared_tp_size: The computed TP size.
+                - shared_output_scale: The output scale factor, or None if not needed.
         """
 
         assert intermediate_size % block_size == 0, "intermediate_size must be divisible by block_size."
-        if self.enable_attention_dp:
-            # If using attention DP, the MLP also uses DP instead of TP.
-            mlp_tp_size = 1
+
+        shared_output_scale = None
+        # The block scale size is 128, which requires shared_expert_intermediate_size to be divisible by 128.
+        if self.use_dp:
+            # If using attention DP, the shared experts also use DP instead of TP.
+            shared_tp_size = 1
         else:
-            # The two math.gcd operations ensure that mlp_tp_size falls in the candidate TP sizes.
-            tp = math.gcd(
+            # Due to the restriction of block scale size (i.e., 128), the supported TP sizes only include 1, 2, 4, 8, and 16.
+            # The math.gcd operation ensures that shared_tp_size falls in the supported TP sizes.
+            shared_tp_size = math.gcd(
                 intermediate_size // block_size,
                 self.mapping.tp_size,
             )
+            # If shared_tp_size has been overridden, the output of shared experts needs to be scaled down accordingly before all-reduce.
+            if shared_tp_size != self.mapping.tp_size:
+                shared_output_scale = shared_tp_size / self.mapping.tp_size
 
-            if tp > self.mapping.gpus_per_node:
-                mlp_tp_size = math.gcd(
-                    tp,
-                    self.mapping.gpus_per_node,
-                )  # Avoid costly inter-node TP
-            else:
-                mlp_tp_size = tp
-        return mlp_tp_size
+        return shared_tp_size, shared_output_scale
 
-    def forward(
-        self,
-        position_ids: torch.IntTensor,
-        hidden_states: torch.Tensor,
-        attn_metadata: AttentionMetadata,
-        residual: torch.Tensor,
-        spec_metadata: Optional[SpecMetadata] = None,
-        **kwargs,
-    ) -> Tuple[torch.Tensor, torch.Tensor]:
-        if residual is None:
-            residual = hidden_states
-            hidden_states = self.input_layernorm(hidden_states)
-        # Self Attention
-        hidden_states = self.self_attn(
-            position_ids=position_ids,
-            hidden_states=hidden_states,
-            attn_metadata=attn_metadata,
-            all_reduce_params=AllReduceParams(
-                enable_allreduce=not (self.disable_attn_allreduce)),
-            **kwargs,
+    @staticmethod
+    def _get_experts_quant_config(model_config, layer_idx: int) -> QuantConfig:
+        if getattr(model_config, "quant_config_dict", None) is None:
+            return model_config.quant_config
+        return model_config.quant_config_dict.get(
+            f"model.layers.{layer_idx}.mlp.experts", model_config.quant_config)
+
+    def compute_routed_output(self, hidden_states, hidden_states_fp4,
+                              all_rank_num_tokens, do_finalize):
+        # max-throughput
+        use_dp_padding = False
+        if self.use_dp and self.mapping.tp_size > 1:
+            if isinstance(self.experts, TRTLLMGenFusedMoE):
+                hidden_states = allgather(hidden_states,
+                                          self.mapping,
+                                          dim=0,
+                                          sizes=all_rank_num_tokens)
+
+        router_logits = self.gate(hidden_states)
+
+        routed_output = self.experts(
+            hidden_states_fp4
+            if hidden_states_fp4 is not None else hidden_states,
+            router_logits,
+            do_finalize=do_finalize,
+            output_dtype=hidden_states.dtype,
+            all_rank_num_tokens=all_rank_num_tokens,
+            use_dp_padding=use_dp_padding,
         )
-        if isinstance(self.mlp, Deepseekv3MoE):
-            if spec_metadata is not None and spec_metadata.is_layer_capture(
-                    self.layer_idx):
-                self.fusion_config.POST_MOE_FUSION = False
-            return self.forward_MoE(
-                hidden_states=hidden_states,
-                attn_metadata=attn_metadata,
-                residual=residual,
-                spec_metadata=spec_metadata,
-            )
-        else:
-            if spec_metadata is not None and spec_metadata.is_layer_capture(
-                    self.layer_idx):
-                self.fusion_config.POST_MLP_FUSION = False
-            assert isinstance(self.mlp, GatedMLP)
-            return self.forward_mlp(
-                hidden_states=hidden_states,
-                residual=residual,
-                spec_metadata=spec_metadata,
-            )
 
-    def forward_MoE(
+        return routed_output
+
+    def forward(
         self,
         hidden_states: torch.Tensor,
-        attn_metadata: AttentionMetadata,
-        residual: torch.Tensor,
-        spec_metadata: Optional[SpecMetadata] = None,
-    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        hidden_states_fp4: Optional[Fp4QuantizedTensor] = None,
+        all_rank_num_tokens: Optional[list[int]] = None,
+        final_all_reduce_params: Optional[AllReduceParams] = None,
+        do_finalize: Optional[bool] = True,
+    ) -> torch.Tensor:
+        if not do_finalize:
+            assert not self.use_dp
 
-        def _run_MoE(hidden_states, hidden_states_fp4, do_finalize):
-            return self.mlp(
-                hidden_states,
-                hidden_states_fp4,
-                all_rank_num_tokens=attn_metadata.all_rank_num_tokens,
-                final_all_reduce_params=AllReduceParams(
-                    enable_allreduce=not (self.fusion_config.POST_MOE_FUSION
-                                          or self.mapping.tp_size == 1)),
-                do_finalize=do_finalize,
-            )
+        def _compute_shared_output():
+            shared_output = self.shared_experts(
+                hidden_states_fp4
+                if hidden_states_fp4 is not None else hidden_states)
+            if self.shared_output_scale is not None:
+                shared_output *= self.shared_output_scale
+            return shared_output
 
-        if self.fusion_config.PRE_MOE_FUSION:
-            # moe_backend can be either CUTLASS or TRTLLM here
-            # TODO: unify the two min-latency MoE backends by enabling quant fusion
-            hidden_states, residual = self.allreduce(
-                hidden_states,
-                all_reduce_params=AllReduceParams(
-                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
-                    residual=residual,
-                    norm_weight=self.post_attention_layernorm.weight,
-                    eps=self.post_attention_layernorm.variance_epsilon,
-                    trigger_completion_at_end=False,
-                ))
-        else:
-            # No fusion
-            hidden_states, residual = self.post_attention_layernorm(
-                hidden_states, residual)
+        def _compute_routed_output():
+            routed_output = self.compute_routed_output(hidden_states,
+                                                       hidden_states_fp4,
+                                                       all_rank_num_tokens,
+                                                       do_finalize)
+            return routed_output
 
-        # Note: this fusion pattern is only supported for single-node TRTLLM-nvfp4 backend now
-        do_finalize = self.mapping.is_multi_node() or (
-            not (hidden_states.shape[0] <= self.moe_allreduce.max_token
-                 and self.fusion_config.POST_MOE_FUSION
-                 and self.model_config.moe_backend == "TRTLLM"
-                 and self.mlp.experts.has_nvfp4 and self.is_p2p_supported))
+        # NOTE: define compiled helpers at module scope to avoid defining decorators inside compiled frames
 
-        hidden_states = _run_MoE(hidden_states,
-                                 hidden_states_fp4=None,
-                                 do_finalize=do_finalize)
+        routed_output, shared_output = maybe_execute_in_parallel(
+            _compute_routed_output, _compute_shared_output,
+            self.event_dict[EventType.Main],
+            self.event_dict[EventType.MoeShared], self.aux_stream)
 
-        if self.fusion_config.POST_MOE_FUSION:
-            if do_finalize:
-                hidden_states, residual = self.allreduce(
-                    hidden_states,
-                    all_reduce_params=AllReduceParams(
-                        fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
-                        residual=residual,
-                        norm_weight=self.next_layer_layernorm.weight,
-                        eps=self.next_layer_layernorm.variance_epsilon,
-                        trigger_completion_at_end=False,
-                    ))
-            else:
-                assert len(
-                    hidden_states) == 4, "hidden_states must have 4 elements"
-
-                shared_output = hidden_states[0]
-                fc2_output = hidden_states[1]
-                expert_scale_factor = hidden_states[2]
-                expanded_idx_to_permuted_idx = hidden_states[3]
-
-                moe_all_reduce_params = MoEAllReduceParams(
-                    expanded_idx_to_permuted_idx=expanded_idx_to_permuted_idx,
-                    expert_scale_factor=expert_scale_factor,
-                    shared_expert_output=shared_output,
-                    residual=residual,
-                    norm_weight=self.next_layer_layernorm.weight,
-                    eps=self.next_layer_layernorm.variance_epsilon,
-                    is_cutlass_min_latency=False,
-                )
-                hidden_states, residual = self.moe_allreduce(
-                    fc2_output, all_reduce_params=moe_all_reduce_params)
-        else:
-            if spec_metadata is not None and spec_metadata.is_layer_capture(
-                    self.layer_idx):
-                spec_metadata.maybe_capture_hidden_states(
-                    self.layer_idx, hidden_states, residual)
-            if self.next_layer_layernorm is not None:
-                hidden_states, residual = self.next_layer_layernorm(
-                    hidden_states, residual)
-
-        return hidden_states, residual
-
-    def forward_mlp(
-        self,
-        hidden_states: torch.Tensor,
-        residual: torch.Tensor,
-        spec_metadata: Optional[SpecMetadata] = None,
-    ) -> Tuple[torch.Tensor, torch.Tensor]:
-
-        if self.fusion_config.PRE_MLP_FUSION:
-            act_fp4, act_sf, residual = self.allreduce(
-                hidden_states,
-                all_reduce_params=AllReduceParams(
-                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM_QUANT_NVFP4,
-                    residual=residual,
-                    norm_weight=self.post_attention_layernorm.weight,
-                    scale=self.mlp.gate_up_proj.input_scale,
-                    eps=self.post_attention_layernorm.variance_epsilon,
-                ),
-            )
-            hidden_states = Fp4QuantizedTensor(act_fp4, act_sf)
+        if not do_finalize:
+            return [shared_output, *routed_output]
         else:
-            # No fusion
-            # We need to add twoshot allreduce here to avoid modifying MLA logic
-            hidden_states, residual = self.post_attention_layernorm(
-                hidden_states, residual)
+            if routed_output.dim() == 3:
+                assert shared_output.numel(
+                ) * self.top_k == routed_output.numel(
+                ), 'unmatched tensor shape'
+                final_hidden_states = moe_reduce_add_shared_output(
+                    routed_output, shared_output)
+            else:
+                assert shared_output.size() == routed_output.size(
+                ), 'unmatched tensor shape'
+                final_hidden_states = shared_output + routed_output
 
-        hidden_states = self.mlp(
-            hidden_states,
-            final_all_reduce_params=AllReduceParams(enable_allreduce=not (
-                self.fusion_config.POST_MLP_FUSION or self.mlp_tp_size == 1)),
-        )
+            if not self.use_dp and self.mapping.tp_size > 1:
+                final_hidden_states = self.allreduce(
+                    final_hidden_states,
+                    all_reduce_params=final_all_reduce_params)
 
-        if self.fusion_config.POST_MLP_FUSION:
-            hidden_states, residual = self.allreduce(
-                hidden_states,
-                all_reduce_params=AllReduceParams(
-                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
-                    residual=residual,
-                    norm_weight=self.next_layer_layernorm.weight,
-                    eps=self.next_layer_layernorm.variance_epsilon,
-                ),
-            )
-        else:
-            if spec_metadata is not None and spec_metadata.is_layer_capture(
-                    self.layer_idx):
-                spec_metadata.maybe_capture_hidden_states(
-                    self.layer_idx, hidden_states, residual)
-            if self.next_layer_layernorm is not None:
-                hidden_states, residual = self.next_layer_layernorm(
-                    hidden_states, residual)
+            return final_hidden_states
 
-        return hidden_states, residual
 
+class DeepseekV3DecoderLayer(DecoderLayer):
 
-class DeepseekV3MTP(DeepseekV3DecoderLayer):
+    def __init__(self,
+                 model_config: ModelConfig[PretrainedConfig],
+                 layer_idx: int,
+                 aux_stream_dict: Dict[AuxStreamType, torch.cuda.Stream],
+                 is_separate_draft_engine: bool = False):
+        super().__init__()
+        self.model_config = model_config
+        self.config = model_config.pretrained_config
+        config = self.config
 
-    def __init__(self, model_config: ModelConfig[PretrainedConfig],
-                 layer_idx: int, aux_stream_dict: Dict[AuxStreamType,
-                                                       torch.cuda.Stream]):
-        super().__init__(model_config, layer_idx, aux_stream_dict)
-        config = model_config.pretrained_config
-        self.hidden_dim = config.hidden_size
+        self.hidden_size = config.hidden_size
         self.moe_intermediate_size = config.moe_intermediate_size
         self.num_experts = config.n_routed_experts
         self.num_shared_experts = config.n_shared_experts
         self.top_k = config.num_experts_per_tok
 
-        self.aux_stream = aux_stream_dict[AuxStreamType.MoeShared]
-        self.event_dict = {
-            key: torch.cuda.Event()
-            for key in [EventType.Main, EventType.MoeShared]
-        }
+        self.mapping = model_config.mapping
+        mapping = self.mapping
+        layer_idx_for_attention = layer_idx
+        if is_separate_draft_engine:
+            #KVCacheManager only support 1 layer for separate draft engine
+            layer_idx_for_attention = layer_idx - model_config.pretrained_config.num_hidden_layers
 
-        self.enorm = RMSNorm(hidden_size=config.hidden_size,
-                             eps=config.rms_norm_eps,
-                             dtype=config.torch_dtype)
+        self.self_attn = DeepseekV3Attention(
+            model_config,
+            layer_idx=layer_idx_for_attention,
+            aux_stream=aux_stream_dict[AuxStreamType.Attention])
+        self.enable_attention_dp = mapping.enable_attention_dp
 
-        self.hnorm = RMSNorm(hidden_size=config.hidden_size,
-                             eps=config.rms_norm_eps,
-                             dtype=config.torch_dtype)
-        if model_config.mapping.enable_attention_dp:
-            self.eh_proj = Linear(
-                config.hidden_size * 2,
-                config.hidden_size,
-                bias=False,
-                dtype=config.torch_dtype,
-                skip_create_weights_in_init=model_config.
-                skip_create_weights_in_init,
-            )
-        else:
-            self.eh_proj = Linear(
-                config.hidden_size * 2,
-                config.hidden_size,
-                bias=False,
-                dtype=config.torch_dtype,
-                tensor_parallel_mode=TensorParallelMode.ROW,
-                mapping=model_config.mapping,
-                reduce_output=True,
-                skip_create_weights_in_init=model_config.
-                skip_create_weights_in_init,
-            )
+        self.mlp_tp_size = mapping.tp_size
+        self.is_p2p_supported = can_access_peer(mapping)
 
-        self.shared_head = DeepseekV3MTPHead(model_config)
+        self.fusion_config = EagerFusionConfig()
+        self.enable_fusion = os.environ.get(
+            "TRTLLM_DEEPSEEK_EAGER_FUSION_DISABLED", "0") == "0"
+        self.enable_fusion &= not self.enable_attention_dp
 
-    def forward(
-        self,
-        input_ids: torch.IntTensor,
-        position_ids: torch.IntTensor,
-        hidden_states: torch.Tensor,
-        embed_tokens: Embedding,
-        attn_metadata: AttentionMetadata,
-        all_rank_num_tokens: Optional[List[int]] = None,
-        **kwargs,
-    ) -> torch.Tensor:
+        # FIXME: incompatible with mixed quantization mode
+        quant_config = self._get_decoder_layer_quant_config(
+            model_config, layer_idx)
+        self.is_nvfp4 = quant_config.layer_quant_mode.has_nvfp4()
+        assert (
+            quant_config.quant_algo
+            is not QuantAlgo.MIXED_PRECISION), "MIXED_PRECISION is ambiguous"
 
-        def norm_embeds():
-            return self.enorm(embed_tokens(input_ids))  #emdedding
+        has_tp = mapping.has_tp()
+        self.allreduce = AllReduce(mapping=model_config.mapping,
+                                   strategy=model_config.allreduce_strategy,
+                                   dtype=config.torch_dtype)
+        self.moe_allreduce = MoEAllReduce(self.mapping)
 
-        def norm_hidden():
-            return self.hnorm(hidden_states)
+        if (config.n_routed_experts is not None
+                and layer_idx >= config.first_k_dense_replace
+                and layer_idx % config.moe_layer_freq == 0):
 
-        inputs_embeds, hidden_states = maybe_execute_in_parallel(
-            norm_embeds,
-            norm_hidden,
-            self.event_dict[EventType.Main],
-            self.event_dict[EventType.MoeShared],
-            self.aux_stream,
-        )
-        hidden_states = torch.concat([inputs_embeds, hidden_states], dim=-1)
-        # Split hidden_states columnwise based on TP
-        tp_size = self.model_config.mapping.tp_size
-        tp_rank = self.model_config.mapping.tp_rank
+            self.fusion_config.PRE_MOE_FUSION = self.enable_fusion and has_tp
+            self.fusion_config.POST_MOE_FUSION = self.fusion_config.PRE_MOE_FUSION
 
-        if tp_size > 1 and not (self.model_config.mapping.enable_attention_dp):
-            hidden_states = torch.chunk(hidden_states, tp_size, dim=-1)[tp_rank]
-        hidden_states = self.eh_proj(hidden_states)
+            self.mlp = Deepseekv3MoE(
+                num_experts=self.num_experts,
+                top_k=self.top_k,
+                hidden_size=self.hidden_size,
+                intermediate_size=self.moe_intermediate_size,
+                shared_expert_intermediate_size=self.moe_intermediate_size *
+                self.num_shared_experts,
+                dtype=config.torch_dtype,
+                model_config=model_config,
+                override_quant_config=quant_config,
+                aux_stream_dict=aux_stream_dict,
+                layer_idx=layer_idx)
+        else:
+            block_size = 1
+            if quant_config and quant_config.group_size is not None:
+                block_size = quant_config.group_size
+            self.mlp_tp_size = self._compute_mlp_tp_size(
+                config.intermediate_size, block_size)
 
-        # Input layer norm
-        residual = hidden_states
-        hidden_states = self.input_layernorm(hidden_states)
+            has_mlp_tp = self.mlp_tp_size > 1
+            self.fusion_config.PRE_MLP_FUSION = self.enable_fusion and has_mlp_tp and self.is_nvfp4
+            self.fusion_config.POST_MLP_FUSION = self.enable_fusion and has_mlp_tp
 
-        # Self Attention
-        hidden_states = self.self_attn(
-            position_ids=position_ids,
-            hidden_states=hidden_states,
-            attn_metadata=attn_metadata,
-            all_reduce_params=AllReduceParams(
-                enable_allreduce=not (self.disable_attn_allreduce)),
-            **kwargs,
-        )
+            self.mlp = GatedMLP(hidden_size=config.hidden_size,
+                                intermediate_size=config.intermediate_size,
+                                bias=False,
+                                dtype=config.torch_dtype,
+                                config=model_config,
+                                overridden_tp_size=self.mlp_tp_size,
+                                reduce_output=True)
 
-        # MTP Layer Must have sparse MOE
-        if self.fusion_config.PRE_MOE_FUSION:
-            hidden_states, residual = self.allreduce(
-                hidden_states,
-                all_reduce_params=AllReduceParams(
-                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
-                    residual=residual,
-                    norm_weight=self.post_attention_layernorm.weight,
-                    eps=self.post_attention_layernorm.variance_epsilon,
-                ),
-            )
-        else:
-            hidden_states, residual = self.post_attention_layernorm(
-                hidden_states, residual)
+        self.input_layernorm = RMSNorm(hidden_size=config.hidden_size,
+                                       eps=config.rms_norm_eps,
+                                       dtype=config.torch_dtype)
 
-        # MoE
-        hidden_states = self.mlp(
-            hidden_states,
-            all_rank_num_tokens=all_rank_num_tokens,
-            final_all_reduce_params=AllReduceParams(
-                enable_allreduce=not (self.fusion_config.POST_MOE_FUSION
-                                      or self.mapping.tp_size == 1)),
-        )
+        self.disable_attn_allreduce = (self.fusion_config.PRE_MOE_FUSION
+                                       or self.fusion_config.PRE_MLP_FUSION
+                                       or self.mapping.tp_size == 1
+                                       or self.enable_attention_dp)
 
-        if self.fusion_config.POST_MOE_FUSION:
-            hidden_states, residual = self.allreduce(
-                hidden_states,
-                all_reduce_params=AllReduceParams(
-                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
-                    residual=residual,
-                    norm_weight=self.shared_head.norm.weight,
-                    eps=self.shared_head.norm.variance_epsilon,
-                ),
+        self.post_attention_layernorm = RMSNorm(hidden_size=config.hidden_size,
+                                                eps=config.rms_norm_eps,
+                                                dtype=config.torch_dtype)
+        self.layer_idx = layer_idx
+        self.next_layer_layernorm: RMSNorm = None
+
+    def _get_decoder_layer_quant_config(
+            self, model_config: ModelConfig[PretrainedConfig], layer_idx: int):
+        """
+        The MTP layer in the nvfp4 checkpoint is unquantized. Because the TRTLLM
+        moe_backend only supports fp8/fp4 quantization, we need to override
+        the quant_config for the MTP layer.
+        """
+        quant_config = model_config.quant_config
+
+        layer_name = f"model.layers.{layer_idx}"
+        if quant_config.is_module_excluded_from_quantization(layer_name):
+            return QuantConfig(
+                quant_algo=None,
+                kv_cache_quant_algo=quant_config.kv_cache_quant_algo,
             )
         else:
-            hidden_states, _ = self.shared_head.norm(hidden_states, residual)
-
-        return hidden_states
+            return model_config.quant_config
 
+    def _compute_mlp_tp_size(self, intermediate_size: int,
+                             block_size: int) -> int:
+        """
+        For DeepSeek‑R1, MLP TP size is limited by intermediate_size // block_size
+        and must also be multiples of gpus_per_node to avoid expensive inter‑node allreduce.
 
-class DeepseekV3Model(DecoderModel):
+        Args:
+            intermediate_size (int): MLP intermediate size.
+            block_size (int): The quantization block scale size. In the case of Deepseek FP8 recipe,
+                it's 128. For NVFP4, it's 16.
 
-    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
-        super().__init__(model_config)
-        config = model_config.pretrained_config
-        self.vocab_size = config.vocab_size
-        self.num_hidden_layers = config.num_hidden_layers
-        aux_stream_list = [torch.cuda.Stream() for _ in range(3)]
-        self.aux_stream_dict = {
-            AuxStreamType.Attention: aux_stream_list[0],
-            AuxStreamType.MoeShared: aux_stream_list[0],
-            AuxStreamType.MoeChunkingOverlap: aux_stream_list[1],
-            AuxStreamType.MoeBalancer: aux_stream_list[2],
-        }
+        Returns:
+            int: The computed tp_size.
+        """
 
-        self.embed_tokens = Embedding(
-            config.vocab_size,
-            config.hidden_size,
-            dtype=config.torch_dtype,
-        )
+        assert intermediate_size % block_size == 0, "intermediate_size must be divisible by block_size."
+        if self.enable_attention_dp:
+            # If using attention DP, the MLP also uses DP instead of TP.
+            mlp_tp_size = 1
+        else:
+            # The two math.gcd operations ensure that mlp_tp_size falls in the candidate TP sizes.
+            tp = math.gcd(
+                intermediate_size // block_size,
+                self.mapping.tp_size,
+            )
 
-        self.layers = nn.ModuleList([
-            DeepseekV3DecoderLayer(model_config, layer_idx,
-                                   self.aux_stream_dict)
-            for layer_idx in range(config.num_hidden_layers)
-        ])
-        self.norm = RMSNorm(hidden_size=config.hidden_size,
-                            eps=config.rms_norm_eps,
-                            dtype=config.torch_dtype)
+            if tp > self.mapping.gpus_per_node:
+                mlp_tp_size = math.gcd(
+                    tp,
+                    self.mapping.gpus_per_node,
+                )  # Avoid costly inter-node TP
+            else:
+                mlp_tp_size = tp
+        return mlp_tp_size
 
     def forward(
         self,
+        position_ids: torch.IntTensor,
+        hidden_states: torch.Tensor,
         attn_metadata: AttentionMetadata,
-        input_ids: Optional[torch.IntTensor] = None,
-        position_ids: Optional[torch.IntTensor] = None,
-        inputs_embeds: Optional[torch.FloatTensor] = None,
+        residual: torch.Tensor,
         spec_metadata: Optional[SpecMetadata] = None,
         **kwargs,
-    ) -> torch.Tensor:
-        if (input_ids is None) ^ (inputs_embeds is not None):
-            raise ValueError(
-                "You cannot specify both input_ids and inputs_embeds at the same time, and must specify either one"
-            )
-
-        if inputs_embeds is None:
-            inputs_embeds = self.embed_tokens(input_ids)
-
-        hidden_states = inputs_embeds
-        residual = None
-
-        for decoder_layer in self.layers[:self.num_hidden_layers]:
-            hidden_states, residual = decoder_layer(
-                position_ids=position_ids,
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        if residual is None:
+            residual = hidden_states
+            hidden_states = self.input_layernorm(hidden_states)
+        # Self Attention
+        hidden_states = self.self_attn(
+            position_ids=position_ids,
+            hidden_states=hidden_states,
+            attn_metadata=attn_metadata,
+            all_reduce_params=AllReduceParams(
+                enable_allreduce=not (self.disable_attn_allreduce)),
+            **kwargs,
+        )
+        if isinstance(self.mlp, Deepseekv3MoE):
+            if spec_metadata is not None and spec_metadata.is_layer_capture(
+                    self.layer_idx):
+                self.fusion_config.POST_MOE_FUSION = False
+            return self.forward_MoE(
                 hidden_states=hidden_states,
                 attn_metadata=attn_metadata,
                 residual=residual,
                 spec_metadata=spec_metadata,
             )
+        else:
+            if spec_metadata is not None and spec_metadata.is_layer_capture(
+                    self.layer_idx):
+                self.fusion_config.POST_MLP_FUSION = False
+            assert isinstance(self.mlp, GatedMLP)
+            return self.forward_mlp(
+                hidden_states=hidden_states,
+                residual=residual,
+                spec_metadata=spec_metadata,
+            )
 
-        return hidden_states
+    def forward_MoE(
+        self,
+        hidden_states: torch.Tensor,
+        attn_metadata: AttentionMetadata,
+        residual: torch.Tensor,
+        spec_metadata: Optional[SpecMetadata] = None,
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
 
+        def _run_MoE(hidden_states, hidden_states_fp4, do_finalize):
+            return self.mlp(
+                hidden_states,
+                hidden_states_fp4,
+                all_rank_num_tokens=attn_metadata.all_rank_num_tokens,
+                final_all_reduce_params=AllReduceParams(
+                    enable_allreduce=not (self.fusion_config.POST_MOE_FUSION
+                                          or self.mapping.tp_size == 1)),
+                do_finalize=do_finalize,
+            )
 
-@register_auto_model("DeepseekV3ForCausalLM")
-class DeepseekV3ForCausalLM(SpecDecOneEngineForCausalLM[DeepseekV3Model,
-                                                        PretrainedConfig]):
+        if self.fusion_config.PRE_MOE_FUSION:
+            # moe_backend can be either CUTLASS or TRTLLM here
+            # TODO: unify the two min-latency MoE backends by enabling quant fusion
+            hidden_states, residual = self.allreduce(
+                hidden_states,
+                all_reduce_params=AllReduceParams(
+                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
+                    residual=residual,
+                    norm_weight=self.post_attention_layernorm.weight,
+                    eps=self.post_attention_layernorm.variance_epsilon,
+                    trigger_completion_at_end=False,
+                ))
+        else:
+            # No fusion
+            hidden_states, residual = self.post_attention_layernorm(
+                hidden_states, residual)
 
-    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
-        # Rename some keys of quant_config_dict to support legacy checkpoints
-        if model_config.quant_config_dict is not None:
-            model_config = copy.deepcopy(model_config)
-            quant_config_dict = {}
-            for key, val in model_config.quant_config_dict.items():
-                key_split = key.split(".")
-                if key_split[-1] == "fused_a":
-                    key = ".".join(key_split[:-1] + ["kv_a_proj_with_mqa"])
-                quant_config_dict[key] = val
-            model_config._frozen = False
-            model_config.quant_config_dict = quant_config_dict
-            model_config._frozen = True
+        # Note: this fusion pattern is only supported for single-node TRTLLM-nvfp4 backend now
+        do_finalize = self.mapping.is_multi_node() or (
+            not (hidden_states.shape[0] <= self.moe_allreduce.max_token
+                 and self.fusion_config.POST_MOE_FUSION
+                 and self.model_config.moe_backend == "TRTLLM"
+                 and self.mlp.experts.has_nvfp4 and self.is_p2p_supported))
 
-        super().__init__(model=DeepseekV3Model(model_config),
-                         model_config=model_config)
+        hidden_states = _run_MoE(hidden_states,
+                                 hidden_states_fp4=None,
+                                 do_finalize=do_finalize)
 
-        self.model_nextn = 0
-        if model_config.spec_config is not None and model_config.spec_config.spec_dec_mode.is_mtp(
-        ):
-            model_nextn = model_config.spec_config.num_nextn_predict_layers
-            ckpt_nextn = self.config.num_nextn_predict_layers
-            self.num_hidden_layers = self.config.num_hidden_layers
-            assert ckpt_nextn > 0, "There is not MTP modules in the checkpoint."
-            if ckpt_nextn == 1 and not model_config.spec_config.use_mtp_vanilla:
-                pass
+        if self.fusion_config.POST_MOE_FUSION:
+            if do_finalize:
+                hidden_states, residual = self.allreduce(
+                    hidden_states,
+                    all_reduce_params=AllReduceParams(
+                        fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
+                        residual=residual,
+                        norm_weight=self.next_layer_layernorm.weight,
+                        eps=self.next_layer_layernorm.variance_epsilon,
+                        trigger_completion_at_end=False,
+                    ))
             else:
-                # modify the QuantConfig to support duplicated mtp layers
-                if model_config.quant_config.exclude_modules is not None:
-                    extend_exclude_modules = []
-                    for model_mtp_idx in range(
-                            self.num_hidden_layers,
-                            self.num_hidden_layers + model_nextn):
-                        ckpt_mtp_idx = (model_mtp_idx - self.num_hidden_layers
-                                        ) % ckpt_nextn + self.num_hidden_layers
-                        model_prefix = f"model.layers.{model_mtp_idx}"
-                        ckpt_prefix = f"model.layers.{ckpt_mtp_idx}"
-                        for exclude_module in model_config.quant_config.exclude_modules:
-                            if ckpt_prefix in exclude_module and model_prefix not in exclude_module:
-                                extend_exclude_modules.append(
-                                    exclude_module.replace(
-                                        ckpt_prefix, model_prefix))
-                    self.model_config.quant_config.exclude_modules.extend(
-                        extend_exclude_modules)
-            self.model.layers.extend(self.draft_model.mtp_layers)
-            self.epilogue.extend(self.draft_model.mtp_layers)
-            self.epilogue.append(self.spec_worker)
+                assert len(
+                    hidden_states) == 4, "hidden_states must have 4 elements"
 
-    def forward(
-        self,
-        attn_metadata: AttentionMetadata,
-        input_ids: torch.IntTensor = None,
-        position_ids: Optional[torch.IntTensor] = None,
-        inputs_embeds: Optional[torch.FloatTensor] = None,
-        spec_metadata: Optional[SpecMetadata] = None,
-        return_context_logits: bool = False,
-        **kwargs,
-    ) -> torch.Tensor:
-        return super().forward(attn_metadata=attn_metadata,
-                               input_ids=input_ids,
-                               position_ids=position_ids,
-                               inputs_embeds=inputs_embeds,
-                               spec_metadata=spec_metadata,
-                               return_context_logits=return_context_logits,
-                               **kwargs)
-
-    def load_weights(self, weights: Dict):
-
-        def rename_moe_weight(weights: Dict, rename_rules: Dict):
-            result = {}
-            for key, value in weights.items():
-                new_key = key
-                for old, new in rename_rules.items():
-                    new_key = new_key.replace(old, new)
-                result[new_key] = value
-            return result
+                shared_output = hidden_states[0]
+                fc2_output = hidden_states[1]
+                expert_scale_factor = hidden_states[2]
+                expanded_idx_to_permuted_idx = hidden_states[3]
 
-        ## Prepare weights for TP
-        def split(v, tp_size, idx, dim=0):
-            if tp_size == 1:
-                return v
-            if len(v.shape) == 1:
-                return torch.chunk(v, tp_size)[idx].contiguous()
-            else:
-                return torch.chunk(v, tp_size, dim=dim)[idx].contiguous()
+                moe_all_reduce_params = MoEAllReduceParams(
+                    expanded_idx_to_permuted_idx=expanded_idx_to_permuted_idx,
+                    expert_scale_factor=expert_scale_factor,
+                    shared_expert_output=shared_output,
+                    residual=residual,
+                    norm_weight=self.next_layer_layernorm.weight,
+                    eps=self.next_layer_layernorm.variance_epsilon,
+                    is_cutlass_min_latency=False,
+                )
+                hidden_states, residual = self.moe_allreduce(
+                    fc2_output, all_reduce_params=moe_all_reduce_params)
+        else:
+            if spec_metadata is not None and spec_metadata.is_layer_capture(
+                    self.layer_idx):
+                spec_metadata.maybe_capture_hidden_states(
+                    self.layer_idx, hidden_states, residual)
+            if self.next_layer_layernorm is not None:
+                hidden_states, residual = self.next_layer_layernorm(
+                    hidden_states, residual)
 
-        def split_matrix_tp(v, tensor_parallel, rank, dim):
-            return split(v, tensor_parallel, rank, dim=dim)
+        return hidden_states, residual
 
-        def load_kv_b_proj_and_k_b_proj_trans(module_name: str,
-                                              is_scale: bool) -> torch.Tensor:
-            weight_name = "weight" if not is_scale else "weight_scale_inv"
-            local_qk_nope_head_dim = qk_nope_head_dim if not is_scale else qk_nope_head_dim // 128
-            local_v_head_dim = v_head_dim if not is_scale else v_head_dim // 128
-            local_kv_lora_rank = kv_lora_rank if not is_scale else kv_lora_rank // 128
+    def forward_mlp(
+        self,
+        hidden_states: torch.Tensor,
+        residual: torch.Tensor,
+        spec_metadata: Optional[SpecMetadata] = None,
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
 
-            kv_b_proj = weights[f"{module_name}.{weight_name}"][:].unflatten(
-                0,
-                [
-                    num_heads,
-                    local_qk_nope_head_dim + local_v_head_dim,
-                ],
+        if self.fusion_config.PRE_MLP_FUSION:
+            act_fp4, act_sf, residual = self.allreduce(
+                hidden_states,
+                all_reduce_params=AllReduceParams(
+                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM_QUANT_NVFP4,
+                    residual=residual,
+                    norm_weight=self.post_attention_layernorm.weight,
+                    scale=self.mlp.gate_up_proj.input_scale,
+                    eps=self.post_attention_layernorm.variance_epsilon,
+                ),
             )
+            hidden_states = Fp4QuantizedTensor(act_fp4, act_sf)
+        else:
+            # No fusion
+            # We need to add twoshot allreduce here to avoid modifying MLA logic
+            hidden_states, residual = self.post_attention_layernorm(
+                hidden_states, residual)
 
-            if not self.model_config.mapping.enable_attention_dp:
-                kv_b_proj = split_matrix_tp(kv_b_proj, tp_size, tp_rank, 0)
-            k_nope_weight, v_weight = kv_b_proj.split(
-                [local_qk_nope_head_dim, local_v_head_dim],
-                dim=1,
+        hidden_states = self.mlp(
+            hidden_states,
+            final_all_reduce_params=AllReduceParams(enable_allreduce=not (
+                self.fusion_config.POST_MLP_FUSION or self.mlp_tp_size == 1)),
+        )
+
+        if self.fusion_config.POST_MLP_FUSION:
+            hidden_states, residual = self.allreduce(
+                hidden_states,
+                all_reduce_params=AllReduceParams(
+                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
+                    residual=residual,
+                    norm_weight=self.next_layer_layernorm.weight,
+                    eps=self.next_layer_layernorm.variance_epsilon,
+                ),
             )
-            weight_divisor = 1 if self.model_config.mapping.enable_attention_dp else tp_size
-            local_num_heads = num_heads // weight_divisor
+        else:
+            if spec_metadata is not None and spec_metadata.is_layer_capture(
+                    self.layer_idx):
+                spec_metadata.maybe_capture_hidden_states(
+                    self.layer_idx, hidden_states, residual)
+            if self.next_layer_layernorm is not None:
+                hidden_states, residual = self.next_layer_layernorm(
+                    hidden_states, residual)
 
-            k_nope_weight_trans = k_nope_weight.transpose(2, 1).contiguous()
+        return hidden_states, residual
 
-            kv_b_proj = torch.concat([
-                k_nope_weight.reshape(local_num_heads * local_qk_nope_head_dim,
-                                      local_kv_lora_rank),
-                v_weight.reshape(local_num_heads * local_v_head_dim,
-                                 local_kv_lora_rank)
-            ],
-                                     dim=0)
 
-            return kv_b_proj, k_nope_weight_trans
+class DeepseekV3MTP(DeepseekV3DecoderLayer):
 
-        def load_kv_b_proj_and_k_b_proj_trans_dequant(
-                module_name: str) -> torch.Tensor:
-            weight_name = "weight"
-            local_qk_nope_head_dim = qk_nope_head_dim
-            local_v_head_dim = v_head_dim
-            local_kv_lora_rank = kv_lora_rank
+    def __init__(self,
+                 model_config: ModelConfig[PretrainedConfig],
+                 layer_idx: int,
+                 aux_stream_dict: Dict[AuxStreamType, torch.cuda.Stream],
+                 is_separate_draft_engine: bool = False):
+        super().__init__(model_config, layer_idx, aux_stream_dict,
+                         is_separate_draft_engine)
+        config = model_config.pretrained_config
+        self.hidden_dim = config.hidden_size
+        self.moe_intermediate_size = config.moe_intermediate_size
+        self.num_experts = config.n_routed_experts
+        self.num_shared_experts = config.n_shared_experts
+        self.top_k = config.num_experts_per_tok
 
-            kv_b_proj = weights[f"{module_name}.{weight_name}"][:].cuda()
+        self.aux_stream = aux_stream_dict[AuxStreamType.MoeShared]
+        self.event_dict = {
+            key: torch.cuda.Event()
+            for key in [EventType.Main, EventType.MoeShared]
+        }
 
-            weight_name = "weight_scale_inv"
-            kv_b_proj_scale = weights[f"{module_name}.{weight_name}"][:].cuda()
+        self.enorm = RMSNorm(hidden_size=config.hidden_size,
+                             eps=config.rms_norm_eps,
+                             dtype=config.torch_dtype)
 
-            kv_b_proj = weight_dequant(kv_b_proj, kv_b_proj_scale)
-            kv_b_proj = kv_b_proj.unflatten(
-                0,
-                [
-                    num_heads,
-                    local_qk_nope_head_dim + local_v_head_dim,
-                ],
+        self.hnorm = RMSNorm(hidden_size=config.hidden_size,
+                             eps=config.rms_norm_eps,
+                             dtype=config.torch_dtype)
+        if model_config.mapping.enable_attention_dp:
+            self.eh_proj = Linear(
+                config.hidden_size * 2,
+                config.hidden_size,
+                bias=False,
+                dtype=config.torch_dtype,
+                skip_create_weights_in_init=model_config.
+                skip_create_weights_in_init,
             )
-            if not self.model_config.mapping.enable_attention_dp:
-                kv_b_proj = split_matrix_tp(kv_b_proj, tp_size, tp_rank, 0)
-            k_nope_weight, v_weight = kv_b_proj.split(
-                [local_qk_nope_head_dim, local_v_head_dim],
-                dim=1,
+        else:
+            self.eh_proj = Linear(
+                config.hidden_size * 2,
+                config.hidden_size,
+                bias=False,
+                dtype=config.torch_dtype,
+                tensor_parallel_mode=TensorParallelMode.ROW,
+                mapping=model_config.mapping,
+                reduce_output=True,
+                skip_create_weights_in_init=model_config.
+                skip_create_weights_in_init,
             )
-            weight_divisor = 1 if self.model_config.mapping.enable_attention_dp else tp_size
-            local_num_heads = num_heads // weight_divisor
 
-            k_nope_weight_trans = k_nope_weight.transpose(2, 1).contiguous()
-
-            kv_b_proj = torch.concat([
-                k_nope_weight.reshape(local_num_heads * local_qk_nope_head_dim,
-                                      local_kv_lora_rank),
-                v_weight.reshape(local_num_heads * local_v_head_dim,
-                                 local_kv_lora_rank)
-            ],
-                                     dim=0)
-
-            return kv_b_proj, k_nope_weight_trans
-
-        def split_kv_b_proj(kv_b_proj: torch.Tensor,
-                            is_scale: bool) -> torch.Tensor:
-            local_qk_nope_head_dim = qk_nope_head_dim if not is_scale else qk_nope_head_dim // 128
-            local_v_head_dim = v_head_dim if not is_scale else v_head_dim // 128
-
-            weight_divisor = 1 if self.model_config.mapping.enable_attention_dp else tp_size
-            local_num_heads = num_heads // weight_divisor
+        self.shared_head = DeepseekV3MTPHead(model_config)
 
-            k_b_proj, v_b_proj = kv_b_proj.split([
-                local_num_heads * local_qk_nope_head_dim,
-                local_num_heads * local_v_head_dim
-            ],
-                                                 dim=0)
-            k_b_proj = k_b_proj.view(
-                [local_num_heads, local_qk_nope_head_dim, -1])
-            v_b_proj = v_b_proj.view([local_num_heads, local_v_head_dim, -1])
+    def forward(
+        self,
+        input_ids: torch.IntTensor,
+        position_ids: torch.IntTensor,
+        hidden_states: torch.Tensor,
+        embed_tokens: Embedding,
+        attn_metadata: AttentionMetadata,
+        all_rank_num_tokens: Optional[List[int]] = None,
+        **kwargs,
+    ) -> torch.Tensor:
 
-            return k_b_proj, v_b_proj
+        def norm_embeds():
+            return self.enorm(embed_tokens(input_ids))  #emdedding
 
-        is_lite = self.config.q_lora_rank is None
-        num_heads = self.config.num_attention_heads
-        qk_nope_head_dim = self.config.qk_nope_head_dim
-        v_head_dim = self.config.v_head_dim
-        kv_lora_rank = self.config.kv_lora_rank
+        def norm_hidden():
+            return self.hnorm(hidden_states)
 
-        tp_rank = self.model_config.mapping.tp_rank
+        inputs_embeds, hidden_states = maybe_execute_in_parallel(
+            norm_embeds,
+            norm_hidden,
+            self.event_dict[EventType.Main],
+            self.event_dict[EventType.MoeShared],
+            self.aux_stream,
+        )
+        hidden_states = torch.concat([inputs_embeds, hidden_states], dim=-1)
+        # Split hidden_states columnwise based on TP
         tp_size = self.model_config.mapping.tp_size
+        tp_rank = self.model_config.mapping.tp_rank
 
-        params_map = {'gate_up_proj': ['gate_proj', 'up_proj']}
-        all_named_modules = dict(self.named_modules())
+        if tp_size > 1 and not (self.model_config.mapping.enable_attention_dp):
+            hidden_states = torch.chunk(hidden_states, tp_size, dim=-1)[tp_rank]
+        hidden_states = self.eh_proj(hidden_states)
 
-        for name, module in tqdm(all_named_modules.items(),
-                                 desc="Loading weights"):
-            if len(module._parameters) <= 0 or name.startswith("draft_model"):
-                continue
-            else:
-                names = name.split('.')
-                parent_module_name = '.'.join(names[:-1])
-                if "model.layers" in name and int(
-                        names[2]) >= self.config.num_hidden_layers:
-                    mtp_layer_idx = int(
-                        names[2]) - self.config.num_hidden_layers
-                    names[2] = str(mtp_layer_idx %
-                                   self.config.num_nextn_predict_layers +
-                                   self.config.num_hidden_layers)
-                    name = '.'.join(names)
-                if names[-1] == "kv_b_proj":
-                    # TODO: remove weight_dequant after enabling fp8_bmm
-                    dequant_kv_b_proj = self.model_config.quant_config.is_module_excluded_from_quantization(
-                        names[-1])
-                    if dequant_kv_b_proj:
-                        kv_b_proj, k_b_proj_trans = load_kv_b_proj_and_k_b_proj_trans_dequant(
-                            name)
-                    else:
-                        kv_b_proj, k_b_proj_trans = load_kv_b_proj_and_k_b_proj_trans(
-                            name, is_scale=False)
-                    module.weight.data.copy_(
-                        kv_b_proj.reshape(module.weight.shape))
+        # Input layer norm
+        residual = hidden_states
+        hidden_states = self.input_layernorm(hidden_states)
 
-                    attn_module = all_named_modules[parent_module_name]
-                    _, v_b_proj = split_kv_b_proj(module.weight.data,
-                                                  is_scale=False)
-                    attn_module.v_b_proj = nn.Parameter(v_b_proj,
-                                                        requires_grad=False)
+        # Self Attention
+        hidden_states = self.self_attn(
+            position_ids=position_ids,
+            hidden_states=hidden_states,
+            attn_metadata=attn_metadata,
+            all_reduce_params=AllReduceParams(
+                enable_allreduce=not (self.disable_attn_allreduce)),
+            **kwargs,
+        )
 
-                    attn_module.k_b_proj_trans.data.copy_(
-                        k_b_proj_trans.reshape(
-                            attn_module.k_b_proj_trans.shape))
+        # MTP Layer Must have sparse MOE
+        if self.fusion_config.PRE_MOE_FUSION:
+            hidden_states, residual = self.allreduce(
+                hidden_states,
+                all_reduce_params=AllReduceParams(
+                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
+                    residual=residual,
+                    norm_weight=self.post_attention_layernorm.weight,
+                    eps=self.post_attention_layernorm.variance_epsilon,
+                ),
+            )
+        else:
+            hidden_states, residual = self.post_attention_layernorm(
+                hidden_states, residual)
 
-                    if getattr(module, "weight_scale",
-                               None) is not None and not dequant_kv_b_proj:
-                        kv_b_proj_scale, k_b_proj_trans_scale = load_kv_b_proj_and_k_b_proj_trans(
-                            name, is_scale=True)
-                        module.weight_scale.copy_(
-                            kv_b_proj_scale.reshape(module.weight_scale.shape))
-                        attn_module.k_b_proj_trans_scale.copy_(
-                            k_b_proj_trans_scale.reshape(
-                                attn_module.k_b_proj_trans_scale.shape))
+        # MoE
+        hidden_states = self.mlp(
+            hidden_states,
+            all_rank_num_tokens=all_rank_num_tokens,
+            final_all_reduce_params=AllReduceParams(
+                enable_allreduce=not (self.fusion_config.POST_MOE_FUSION
+                                      or self.mapping.tp_size == 1)),
+        )
 
-                        _, v_b_proj_scale = split_kv_b_proj(
-                            module.weight_scale.data, is_scale=True)
-                        attn_module.v_b_proj_scale = nn.Parameter(
-                            v_b_proj_scale, requires_grad=False)
+        if self.fusion_config.POST_MOE_FUSION:
+            hidden_states, residual = self.allreduce(
+                hidden_states,
+                all_reduce_params=AllReduceParams(
+                    fusion_op=AllReduceFusionOp.RESIDUAL_RMS_NORM,
+                    residual=residual,
+                    norm_weight=self.shared_head.norm.weight,
+                    eps=self.shared_head.norm.variance_epsilon,
+                ),
+            )
+        else:
+            hidden_states, _ = self.shared_head.norm(hidden_states, residual)
 
-                        if attn_module.k_b_proj_trans_dequant is not None:
-                            attn_module.k_b_proj_trans_dequant.data.copy_(
-                                weight_dequant(
-                                    k_b_proj_trans.view(
-                                        -1, k_b_proj_trans.shape[-1]).cuda(),
-                                    k_b_proj_trans_scale.view(
-                                        -1,
-                                        k_b_proj_trans_scale.shape[-1]).cuda(),
-                                ).view(
-                                    *attn_module.k_b_proj_trans_dequant.shape).
-                                to(attn_module.k_b_proj_trans_dequant.dtype))
-                        if attn_module.v_b_proj_dequant is not None:
-                            attn_module.v_b_proj_dequant.data.copy_(
-                                weight_dequant(
-                                    v_b_proj.view(-1,
-                                                  v_b_proj.shape[-1]).cuda(),
-                                    v_b_proj_scale.view(
-                                        -1, v_b_proj_scale.shape[-1]).cuda(),
-                                ).view(*attn_module.v_b_proj_dequant.shape).to(
-                                    attn_module.v_b_proj_dequant.dtype))
-                elif names[-1] == "kv_a_proj_with_mqa":
-                    fused_a = weights[
-                        f"{'.'.join(names[:-1])}.kv_a_proj_with_mqa.weight"][:]
-                    if not is_lite:
-                        q_a_proj = weights[
-                            f"{'.'.join(names[:-1])}.q_a_proj.weight"][:]
-                        fused_a = torch.cat([q_a_proj, fused_a], dim=0)
+        return hidden_states
 
-                    if f"{'.'.join(names[:-1])}.kv_a_proj_with_mqa.weight_scale_inv" in weights:
-                        fused_a_scale = weights[
-                            f"{'.'.join(names[:-1])}.kv_a_proj_with_mqa.weight_scale_inv"]
-                        if not is_lite:
-                            q_a_proj_scale = weights[
-                                f"{'.'.join(names[:-1])}.q_a_proj.weight_scale_inv"][:]
-                            fused_a_scale = torch.cat(
-                                [q_a_proj_scale, fused_a_scale], dim=0)
 
-                        module.weight_scale.data.copy_(fused_a_scale)
+class DeepseekV3Model(DecoderModel):
 
-                    module.weight.data.copy_(fused_a)
-                elif names[-1] in params_map:
-                    module_weights = []
-                    for new_name in params_map[names[-1]]:
-                        module_weights.append(
-                            filter_weights('.'.join(names[:-1] + [new_name]),
-                                           weights))
-                    module.load_weights(weights=module_weights)
-                elif names[-1] == "experts":
-                    module_weights = filter_weights(name, weights)
-                    module_weights = rename_moe_weight(module_weights, {
-                        "down_proj": "w2",
-                        "up_proj": "w3",
-                        "gate_proj": "w1",
-                    })
-                    module.load_weights(weights=[module_weights])
-                elif names[-1] == "self_attn":
-                    continue
-                elif names[-1] == "next_layer_layernorm":
-                    continue
-                else:
-                    module_weights = filter_weights(name, weights)
-                    if hasattr(module, 'load_weights'):
-                        module.load_weights(weights=[module_weights])
-                    else:
-                        for n, p in module.named_parameters():
-                            p.data.copy_(module_weights[n][:])
+    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
+        super().__init__(model_config)
+        config = model_config.pretrained_config
+        self.vocab_size = config.vocab_size
+        self.num_hidden_layers = config.num_hidden_layers
+        aux_stream_list = [torch.cuda.Stream() for _ in range(3)]
+        self.aux_stream_dict = {
+            AuxStreamType.Attention: aux_stream_list[0],
+            AuxStreamType.MoeShared: aux_stream_list[0],
+            AuxStreamType.MoeChunkingOverlap: aux_stream_list[1],
+            AuxStreamType.MoeBalancer: aux_stream_list[2],
+        }
 
-                if self.model_config.quant_config.layer_quant_mode.has_fp8_block_scales(
-                ) and is_sm_100f() and hasattr(module, "weight_scale"):
-                    weight, weight_scale = resmooth_to_fp8_e8m0(
-                        module.weight, module.weight_scale)
-                    transfromed_scale = transform_sf_into_required_layout(
-                        weight_scale,
-                        mn=weight.shape[0],
-                        k=weight.shape[1],
-                        recipe=(1, 128, 128),
-                        is_sfa=False)
-                    module.weight = nn.Parameter(weight, requires_grad=False)
-                    module.weight_scale = nn.Parameter(transfromed_scale,
-                                                       requires_grad=False)
+        self.embed_tokens = Embedding(
+            config.vocab_size,
+            config.hidden_size,
+            dtype=config.torch_dtype,
+        )
+
+        self.layers = nn.ModuleList([
+            DeepseekV3DecoderLayer(model_config, layer_idx,
+                                   self.aux_stream_dict)
+            for layer_idx in range(config.num_hidden_layers)
+        ])
+        self.norm = RMSNorm(hidden_size=config.hidden_size,
+                            eps=config.rms_norm_eps,
+                            dtype=config.torch_dtype)
 
-        for idx, layer in enumerate(
-                self.model.layers[:self.config.num_hidden_layers]):
-            if idx == self.config.num_hidden_layers - 1:
-                layer.next_layer_layernorm = self.model.norm
+    def forward(
+        self,
+        attn_metadata: AttentionMetadata,
+        input_ids: Optional[torch.IntTensor] = None,
+        position_ids: Optional[torch.IntTensor] = None,
+        inputs_embeds: Optional[torch.FloatTensor] = None,
+        spec_metadata: Optional[SpecMetadata] = None,
+        **kwargs,
+    ) -> torch.Tensor:
+        if (input_ids is None) ^ (inputs_embeds is not None):
+            raise ValueError(
+                "You cannot specify both input_ids and inputs_embeds at the same time, and must specify either one"
+            )
+
+        if inputs_embeds is None:
+            inputs_embeds = self.embed_tokens(input_ids)
+
+        hidden_states = inputs_embeds
+        residual = None
+
+        for decoder_layer in self.layers[:self.num_hidden_layers]:
+            hidden_states, residual = decoder_layer(
+                position_ids=position_ids,
+                hidden_states=hidden_states,
+                attn_metadata=attn_metadata,
+                residual=residual,
+                spec_metadata=spec_metadata,
+            )
+
+        return hidden_states
+
+
+@register_auto_model("DeepseekV3ForCausalLM")
+class DeepseekV3ForCausalLM(SpecDecOneEngineForCausalLM[DeepseekV3Model,
+                                                        PretrainedConfig]):
+
+    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
+        # Rename some keys of quant_config_dict to support legacy checkpoints
+        if model_config.quant_config_dict is not None:
+            model_config = copy.deepcopy(model_config)
+            quant_config_dict = {}
+            for key, val in model_config.quant_config_dict.items():
+                key_split = key.split(".")
+                if key_split[-1] == "fused_a":
+                    key = ".".join(key_split[:-1] + ["kv_a_proj_with_mqa"])
+                quant_config_dict[key] = val
+            model_config._frozen = False
+            model_config.quant_config_dict = quant_config_dict
+            model_config._frozen = True
+
+        super().__init__(model=DeepseekV3Model(model_config),
+                         model_config=model_config)
+
+        self.model_nextn = 0
+        if model_config.spec_config is not None and model_config.spec_config.spec_dec_mode.is_mtp_one_model(
+        ):
+            model_nextn = model_config.spec_config.num_nextn_predict_layers
+            ckpt_nextn = self.config.num_nextn_predict_layers
+            self.num_hidden_layers = self.config.num_hidden_layers
+            assert ckpt_nextn > 0, "There is not MTP modules in the checkpoint."
+            if ckpt_nextn == 1 and not model_config.spec_config.use_mtp_vanilla:
+                pass
             else:
-                layer.next_layer_layernorm = self.model.layers[
-                    idx + 1].input_layernorm
+                # modify the QuantConfig to support duplicated mtp layers
+                if model_config.quant_config.exclude_modules is not None:
+                    extend_exclude_modules = []
+                    for model_mtp_idx in range(
+                            self.num_hidden_layers,
+                            self.num_hidden_layers + model_nextn):
+                        ckpt_mtp_idx = (model_mtp_idx - self.num_hidden_layers
+                                        ) % ckpt_nextn + self.num_hidden_layers
+                        model_prefix = f"model.layers.{model_mtp_idx}"
+                        ckpt_prefix = f"model.layers.{ckpt_mtp_idx}"
+                        for exclude_module in model_config.quant_config.exclude_modules:
+                            if ckpt_prefix in exclude_module and model_prefix not in exclude_module:
+                                extend_exclude_modules.append(
+                                    exclude_module.replace(
+                                        ckpt_prefix, model_prefix))
+                    self.model_config.quant_config.exclude_modules.extend(
+                        extend_exclude_modules)
+            self.model.layers.extend(self.draft_model.mtp_layers)
+            self.epilogue.extend(self.draft_model.mtp_layers)
+            self.epilogue.append(self.spec_worker)
+
+    def forward(
+        self,
+        attn_metadata: AttentionMetadata,
+        input_ids: torch.IntTensor = None,
+        position_ids: Optional[torch.IntTensor] = None,
+        inputs_embeds: Optional[torch.FloatTensor] = None,
+        spec_metadata: Optional[SpecMetadata] = None,
+        return_context_logits: bool = False,
+        **kwargs,
+    ) -> torch.Tensor:
+        return super().forward(attn_metadata=attn_metadata,
+                               input_ids=input_ids,
+                               position_ids=position_ids,
+                               inputs_embeds=inputs_embeds,
+                               spec_metadata=spec_metadata,
+                               return_context_logits=return_context_logits,
+                               **kwargs)
+
+    def load_weights(self, weights: Dict):
+        weight_loader = DeepseekV3WeightLoader(self)
+        weight_loader.load_weights(weights)
diff --git a/tensorrt_llm/_torch/models/modeling_speculative.py b/tensorrt_llm/_torch/models/modeling_speculative.py
old mode 100644
new mode 100755
index b60dd240336..6eb989af33f
--- a/tensorrt_llm/_torch/models/modeling_speculative.py
+++ b/tensorrt_llm/_torch/models/modeling_speculative.py
@@ -1,4 +1,4 @@
-from typing import Dict, Generic, Optional, Tuple
+from typing import Dict, Generic, List, Optional, Tuple
 
 import torch
 from torch import nn
@@ -18,6 +18,7 @@
 from ..modules.rms_norm import RMSNorm
 from ..pyexecutor.guided_decoder import CapturableGuidedDecoder
 from ..speculative import SpecMetadata, get_spec_worker
+from ..utils import AuxStreamType
 from .checkpoints.base_weight_mapper import BaseWeightMapper
 from .modeling_utils import (DecoderModel, DecoderModelForCausalLM, TModel,
                              register_auto_model)
@@ -342,8 +343,8 @@ def __init__(
         from .modeling_deepseekv3 import DeepseekV3MTP
 
         spec_dec_mode = model_config.spec_config.spec_dec_mode
-        assert spec_dec_mode.is_mtp()
-        mtp_num_layers = 1 if spec_dec_mode.is_mtp_eagle(
+        assert spec_dec_mode.is_mtp_one_model()
+        mtp_num_layers = 1 if spec_dec_mode.is_mtp_eagle_one_model(
         ) else model_config.spec_config.num_nextn_predict_layers
 
         moe_load_balancer_set_repeated_for_next_layer(
@@ -358,16 +359,124 @@ def __init__(
         self.embed_tokens = model.embed_tokens
 
 
+class MTPDraftModel(nn.Module):
+
+    def __init__(self, model_config: ModelConfig[PretrainedConfig],
+                 layer_idx: int, aux_stream_dict: Dict[AuxStreamType,
+                                                       torch.cuda.Stream]):
+        super().__init__()
+        # Import here to avoid circular import
+        from .modeling_deepseekv3 import DeepseekV3MTP
+
+        mtp_layer = DeepseekV3MTP(model_config,
+                                  layer_idx,
+                                  aux_stream_dict,
+                                  is_separate_draft_engine=True)
+        setattr(self, f"layers.{layer_idx}", mtp_layer)
+        self.layers = mtp_layer
+        self.layer_idx = layer_idx
+        self.config = model_config.pretrained_config
+        self.embed_tokens = Embedding(
+            self.config.vocab_size,
+            self.config.hidden_size,
+            dtype=self.config.torch_dtype,
+        )
+
+    def __repr__(self):
+        """Custom string representation to display layer index"""
+        return f"(layers): ({self.layer_idx}): {repr(self.layers)}"
+
+    def forward(
+        self,
+        input_ids: torch.IntTensor,
+        position_ids: torch.IntTensor,
+        hidden_states: torch.Tensor,
+        attn_metadata: AttentionMetadata,
+        all_rank_num_tokens: Optional[List[int]] = None,
+        **kwargs,
+    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        hidden_states = self.layers(
+            input_ids,
+            position_ids,
+            hidden_states,
+            embed_tokens=self.embed_tokens,
+            attn_metadata=attn_metadata,
+            all_rank_num_tokens=all_rank_num_tokens,
+        )
+
+        return hidden_states
+
+
+@register_auto_model("MTPDraftModelForCausalLM")
+class MTPDraftModelForCausalLM(DecoderModelForCausalLM[MTPDraftModel,
+                                                       PretrainedConfig]):
+
+    def __init__(self, model_config: ModelConfig[PretrainedConfig]):
+        self.model_config = model_config
+        aux_stream_list = [torch.cuda.Stream() for _ in range(2)]
+        self.aux_stream_dict = {
+            AuxStreamType.Attention: aux_stream_list[0],
+            AuxStreamType.MoeShared: aux_stream_list[0],
+            AuxStreamType.MoeChunkingOverlap: aux_stream_list[1],
+        }
+        super().__init__(
+            MTPDraftModel(self.model_config,
+                          self.model_config.pretrained_config.num_hidden_layers,
+                          self.aux_stream_dict),
+            config=self.model_config,
+            hidden_size=self.model_config.pretrained_config.hidden_size,
+            vocab_size=self.model_config.pretrained_config.vocab_size)
+
+    def load_weights(self, weights: Dict):
+        # Import here to avoid circular import
+        from .modeling_deepseekv3 import DeepseekV3WeightLoader
+        weight_loader = DeepseekV3WeightLoader(self, is_draft_model=True)
+        weight_loader.load_weights(weights)
+
+    def load_weights_from_target_model(self,
+                                       target_model: torch.nn.Module) -> None:
+        if self.model.embed_tokens is None:
+            self.model.embed_tokens = target_model.model.embed_tokens
+        self.lm_head = target_model.lm_head
+
+    def forward(self,
+                attn_metadata: AttentionMetadata,
+                input_ids: torch.IntTensor = None,
+                position_ids: torch.IntTensor = None,
+                inputs_embeds: Optional[torch.FloatTensor] = None,
+                return_context_logits: bool = False,
+                spec_metadata: Optional[SpecMetadata] = None,
+                hidden_states: torch.Tensor = None,
+                **kwargs) -> torch.Tensor:
+
+        hidden_states = spec_metadata.get_hidden_states()
+        output = self.model(
+            input_ids=input_ids,
+            position_ids=position_ids,
+            hidden_states=hidden_states,
+            attn_metadata=attn_metadata,
+            all_rank_num_tokens=attn_metadata.all_rank_num_tokens,
+            **kwargs)
+        return self.logits_processor.forward(
+            output,
+            self.lm_head,
+            attn_metadata,
+            return_context_logits,
+        )
+
+
 def get_draft_model(model_config, draft_config, lm_head, model):
     assert getattr(model_config, 'spec_config', None) != None
     spec_dec_mode = model_config.spec_config.spec_dec_mode
     if spec_dec_mode.is_eagle3_one_model():
         return Eagle3ForCausalLM(
             draft_config, model_config.pretrained_config.num_hidden_layers)
-    elif spec_dec_mode.is_mtp():
+    elif spec_dec_mode.is_mtp_one_model():
         return MTPForCausalLM(model_config,
                               model_config.pretrained_config.num_hidden_layers,
                               lm_head, model)
+    elif spec_dec_mode.is_mtp_eagle():
+        return MTPDraftModelForCausalLM(model_config)
     else:
         raise NotImplementedError(
             f"get_draft_model does not support speculative decoding mode {spec_dec_mode}."
diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
index 09b3c0dc66c..1de7d18e222 100644
--- a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
+++ b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
@@ -387,6 +387,9 @@ def drafting_loop_wrapper(model):
                 is_draft_model=True,
                 drafting_loop_wrapper=drafting_loop_wrapper,
             )
+            # For DeepseekV3 MTP, we need to set the num_hidden_layers to 1 for the draft model
+            if spec_config.spec_dec_mode.is_mtp_eagle():
+                draft_model_engine.model.model_config.pretrained_config.num_hidden_layers = 1
             draft_model_engine.kv_cache_manager_key = ResourceManagerType.DRAFT_KV_CACHE_MANAGER
             draft_model_engine.load_weights_from_target_model(
                 model_engine.model)
diff --git a/tensorrt_llm/_torch/speculative/eagle3.py b/tensorrt_llm/_torch/speculative/eagle3.py
index 684bb9450f9..7fb7d9f0736 100644
--- a/tensorrt_llm/_torch/speculative/eagle3.py
+++ b/tensorrt_llm/_torch/speculative/eagle3.py
@@ -92,18 +92,18 @@ class Eagle3SpecMetadata(SpecMetadata):
     is_draft_model: bool = False
     is_first_draft: bool = False
     eagle3_resource_manager: Optional[Eagle3ResourceManager] = None
+    is_mtp_eagle: bool = False
 
     def __post_init__(self):
         if self.is_draft_model:
             self.layers_to_capture = (self.num_layers - 1, )
         elif self.layers_to_capture is None:
-            if self.num_layers == 1:
+            if self.num_layers == 1 or self.is_mtp_eagle:
                 self.layers_to_capture = (self.num_layers - 1, )
             else:
                 if self.num_layers <= 5:
                     raise ValueError(
                         "Not enough hidden layers for default EAGLE3 capture")
-
                 self.layers_to_capture = (1, self.num_layers // 2 - 1,
                                           self.num_layers - 4)
         else:
diff --git a/tensorrt_llm/_torch/speculative/interface.py b/tensorrt_llm/_torch/speculative/interface.py
index 4b3723e2ca0..271aee20d76 100644
--- a/tensorrt_llm/_torch/speculative/interface.py
+++ b/tensorrt_llm/_torch/speculative/interface.py
@@ -12,6 +12,7 @@
 class SpeculativeDecodingMode(IntEnum):
     MTP = auto()
     MTP_EAGLE = auto()
+    MTP_EAGLE_ONE_MODEL = auto()
     EAGLE3 = auto()
     EAGLE3_ONE_MODEL = auto()
     NGRAM = auto()
@@ -20,8 +21,11 @@ class SpeculativeDecodingMode(IntEnum):
     NONE = auto()
     AUTO = auto()
 
-    def is_mtp(self):
-        return self == SpeculativeDecodingMode.MTP or self == SpeculativeDecodingMode.MTP_EAGLE
+    def is_mtp_one_model(self):
+        return self == SpeculativeDecodingMode.MTP or self == SpeculativeDecodingMode.MTP_EAGLE_ONE_MODEL
+
+    def is_mtp_eagle_one_model(self):
+        return self == SpeculativeDecodingMode.MTP_EAGLE_ONE_MODEL
 
     def is_mtp_vanilla(self):
         return self == SpeculativeDecodingMode.MTP
@@ -33,7 +37,7 @@ def is_eagle3(self):
         return self == SpeculativeDecodingMode.EAGLE3
 
     def use_one_engine(self):
-        return self.is_mtp() or self.is_eagle3_one_model()
+        return self.is_eagle3_one_model() or self.is_mtp_one_model()
 
     def is_eagle3_one_model(self):
         return self == SpeculativeDecodingMode.EAGLE3_ONE_MODEL
@@ -51,23 +55,24 @@ def is_draft_target(self):
         return self == SpeculativeDecodingMode.DRAFT_TARGET
 
     def without_logits(self):
-        return self.is_mtp() or self.is_eagle3_one_model()
+        return self.is_mtp_one_model() or self.is_eagle3_one_model()
 
     def needs_kv_cache_rewind(self):
-        return self.is_mtp() or self.is_eagle3_one_model() or self.is_ngram()
+        return self.is_mtp_one_model() or self.is_eagle3_one_model(
+        ) or self.is_ngram()
 
     def support_overlap_scheduler(self):
-        return self.is_mtp() or self.is_eagle3_one_model(
+        return self.is_mtp_one_model() or self.is_eagle3_one_model(
         ) or self.has_draft_model()
 
     def support_guided_decoder(self):
         return self.is_none() or self.has_spec_drafter()
 
     def support_capturable_guided_decoder(self):
-        return self.is_mtp() or self.is_eagle3_one_model()
+        return self.is_mtp_one_model() or self.is_eagle3_one_model()
 
     def has_draft_model(self):
-        return self.is_eagle3() or self.is_draft_target()
+        return self.is_eagle3() or self.is_draft_target() or self.is_mtp_eagle()
 
     def needs_kv_cache_recompute(self):
         """
@@ -75,7 +80,7 @@ def needs_kv_cache_recompute(self):
         If true, the 1st draft model forward will recompute the kv cache for
         the accepted draft tokens.
         """
-        return self.is_eagle3()
+        return self.is_eagle3() or self.is_mtp_eagle()
 
     def need_load_draft_weights(self):
         """
@@ -85,11 +90,12 @@ def need_load_draft_weights(self):
         return self.is_eagle3_one_model()
 
     def has_spec_decoder(self):
-        return self.is_mtp() or self.is_eagle3() or self.is_eagle3_one_model()
+        return self.is_mtp_one_model() or self.is_mtp_eagle() or self.is_eagle3(
+        ) or self.is_eagle3_one_model()
 
     def has_spec_drafter(self):
         return self.is_eagle3() or self.is_draft_target() or self.is_ngram(
-        ) or self.is_user_provided()
+        ) or self.is_user_provided() or self.is_mtp_eagle()
 
     def extend_ctx(self, attention_backend: Type[AttentionBackend]):
         """
diff --git a/tensorrt_llm/_torch/speculative/model_drafter.py b/tensorrt_llm/_torch/speculative/model_drafter.py
index 970584bb427..0627492631a 100644
--- a/tensorrt_llm/_torch/speculative/model_drafter.py
+++ b/tensorrt_llm/_torch/speculative/model_drafter.py
@@ -31,7 +31,7 @@ def get_draft_model_prompt(spec_dec_mode: SpeculativeDecodingMode,
     Can be used to modify prompts for speculative algorithms that need to update tokens
     before drafting.
     """
-    if spec_dec_mode.is_eagle3():
+    if spec_dec_mode.is_eagle3() or spec_dec_mode.is_mtp_eagle():
         # EAGLE3 always throws away the first token when processing draft inputs
         return input_tokens[1:]
     return input_tokens
diff --git a/tensorrt_llm/_torch/speculative/mtp.py b/tensorrt_llm/_torch/speculative/mtp.py
index de22b9da388..944ad38ee19 100644
--- a/tensorrt_llm/_torch/speculative/mtp.py
+++ b/tensorrt_llm/_torch/speculative/mtp.py
@@ -155,7 +155,7 @@ def all_rank_num_seqs(self):
     @all_rank_num_seqs.setter
     def all_rank_num_seqs(self, value: List[int]):
         self._all_rank_num_seqs = value
-        if self.spec_dec_mode.is_mtp_eagle():
+        if self.spec_dec_mode.is_mtp_eagle_one_model():
             self.subseq_all_rank_num_tokens = value
 
     def prepare(self):
@@ -172,7 +172,7 @@ def prepare(self):
         # while MTP Eagle worker uses (max_draft_len + 1) input tokens in the 1st draft
         # forward and only one input token in the following draft forward.
         # This num_tokens is used to set the all_rank_num_tokens for attention dp.
-        if not self.spec_dec_mode.is_mtp_eagle():
+        if not self.spec_dec_mode.is_mtp_eagle_one_model():
             self.num_tokens -= self.num_generations
 
         if self.mtp_hidden_states_manager is not None:  # MTP vanilla or use relaxed acceptance
@@ -183,7 +183,7 @@ def prepare(self):
                 mtp_slot_ids.append(slot_id)
 
             # MTP Vanilla: Update mtp hidden states and past tokens
-            if self.spec_dec_mode.is_mtp():
+            if self.spec_dec_mode.is_mtp_one_model():
                 mtp_hidden_states_ptrs = []
                 mtp_past_tokens_ptrs = []
                 for slot_id in mtp_slot_ids:
diff --git a/tensorrt_llm/_torch/speculative/utils.py b/tensorrt_llm/_torch/speculative/utils.py
index 96fbd83a1cb..5a573b2950a 100644
--- a/tensorrt_llm/_torch/speculative/utils.py
+++ b/tensorrt_llm/_torch/speculative/utils.py
@@ -19,7 +19,7 @@ def get_spec_metadata(spec_config,
                       max_num_tokens,
                       spec_resource_manager=None,
                       is_draft_model=False):
-    if spec_config.spec_dec_mode.is_mtp():
+    if spec_config.spec_dec_mode.is_mtp_one_model():
         return MTPSpecMetadata(
             max_draft_len=spec_config.max_draft_len,
             spec_dec_mode=spec_config.spec_dec_mode,
@@ -39,6 +39,21 @@ def get_spec_metadata(spec_config,
             is_draft_model=is_draft_model,
             eagle3_resource_manager=spec_resource_manager,
             layers_to_capture=spec_config.eagle3_layers_to_capture,
+            is_mtp_eagle=False,
+        )
+    if spec_config.spec_dec_mode.is_mtp_eagle():
+        return Eagle3SpecMetadata(
+            max_draft_len=spec_config.max_draft_len,
+            spec_dec_mode=spec_config.spec_dec_mode,
+            max_num_requests=max_num_requests,
+            num_layers=model_config.num_hidden_layers,
+            hidden_size=model_config.hidden_size,
+            max_num_tokens=max_num_tokens,
+            dtype=model_config.torch_dtype,
+            is_draft_model=is_draft_model,
+            eagle3_resource_manager=spec_resource_manager,
+            layers_to_capture=None,
+            is_mtp_eagle=True,
         )
     if spec_config.spec_dec_mode.is_eagle3_one_model():
         return Eagle3OneModelSpecMetadata(
@@ -70,7 +85,7 @@ def get_spec_resource_manager(model_engine, draft_model_engine=None):
     max_seq_len = model_engine.max_seq_len
     max_num_tokens = model_engine.max_num_tokens
     spec_dec_mode = spec_config.spec_dec_mode
-    if spec_dec_mode.is_mtp_eagle():
+    if spec_dec_mode.is_mtp_eagle_one_model():
         if spec_config.use_relaxed_acceptance_for_thinking:
             return MTPHiddenStatesManager(
                 spec_config,
@@ -80,15 +95,15 @@ def get_spec_resource_manager(model_engine, draft_model_engine=None):
             )
         else:
             return None
-    if spec_dec_mode.is_mtp():
+    if spec_dec_mode.is_mtp_one_model():
         return MTPHiddenStatesManager(
             spec_config,
             model_config.torch_dtype,
             model_config.hidden_size,
             max_num_requests,
         )
-    if spec_dec_mode.is_eagle3():
-        assert draft_model_engine is not None, "Draft model engine is required for Eagle3 two model flow."
+    if spec_dec_mode.is_eagle3() or spec_dec_mode.is_mtp_eagle():
+        assert draft_model_engine is not None, "Draft model engine is required for Eagle3 and MTP Eagle two model flow."
         return Eagle3ResourceManager(
             spec_config,
             draft_model_engine.model.config.torch_dtype,
@@ -106,10 +121,11 @@ def get_spec_resource_manager(model_engine, draft_model_engine=None):
 
 def get_spec_decoder(sampler_args: TorchSampler.Args,
                      spec_config: "DecodingBaseConfig"):
-    if spec_config.spec_dec_mode.is_mtp():
+    if spec_config.spec_dec_mode.is_mtp_one_model():
         return MTPSampler(sampler_args,
                           nextn=spec_config.num_nextn_predict_layers)
-    if spec_config.spec_dec_mode.is_eagle3():
+    if spec_config.spec_dec_mode.is_eagle3(
+    ) or spec_config.spec_dec_mode.is_mtp_eagle():
         # TorchSampler handles Eagle3 gracefully, by integrating d2t into the sampling process
         return TorchSampler(sampler_args)
     if spec_config.spec_dec_mode.is_eagle3_one_model():
@@ -132,7 +148,8 @@ def get_spec_drafter(model_engine,
 
     max_num_requests = model_engine.batch_size
     if spec_config.spec_dec_mode.is_draft_target(
-    ) or spec_config.spec_dec_mode.is_eagle3():
+    ) or spec_config.spec_dec_mode.is_eagle3(
+    ) or spec_config.spec_dec_mode.is_mtp_eagle():
         return ModelDrafter(spec_config,
                             draft_model_engine,
                             spec_config.max_draft_len,
@@ -148,7 +165,7 @@ def get_spec_drafter(model_engine,
 
 
 def get_num_spec_layers(spec_config):
-    if spec_config.spec_dec_mode.is_mtp():
+    if spec_config.spec_dec_mode.is_mtp_one_model():
         return spec_config.num_nextn_predict_layers
     if spec_config.spec_dec_mode.is_eagle3_one_model():
         num_eagle_layers = spec_config.num_eagle_layers
@@ -160,7 +177,7 @@ def get_spec_worker(spec_config, model_config, mapping):
     spec_dec_mode = spec_config.spec_dec_mode
     if spec_dec_mode.is_mtp_vanilla():
         return MTPWorker(spec_config, model_config)
-    if spec_dec_mode.is_mtp_eagle():
+    if spec_dec_mode.is_mtp_eagle_one_model():
         return MTPEagleWorker(spec_config, model_config)
     if spec_dec_mode.is_eagle3_one_model():
         return Eagle3OneModelWorker(spec_config, mapping)
@@ -174,14 +191,13 @@ def get_num_extra_kv_tokens(spec_config):
     """
     if spec_config is None:
         return 0
-    if spec_config.spec_dec_mode.is_eagle3_one_model(
-    ) or spec_config.spec_dec_mode.is_mtp_eagle():
+    if spec_config.spec_dec_mode.is_eagle3_one_model():
         return spec_config.max_draft_len - 1
     return 0
 
 
 def update_spec_config_from_model_config(spec_config, model_config):
-    if spec_config.spec_dec_mode.is_mtp():
+    if spec_config.spec_dec_mode.is_mtp_one_model():
         # Use `max_draft_len` for several low-level APIs. TODO: Remove this after distinguishing them.
         spec_config.max_draft_len = spec_config.num_nextn_predict_layers
         # Use `num_nextn_predict_layers_from_model_config` to decide decoding mode MTP / MTP_EAGLE.
diff --git a/tensorrt_llm/llmapi/llm_args.py b/tensorrt_llm/llmapi/llm_args.py
index 7b2f649a025..ecf0ffdf362 100644
--- a/tensorrt_llm/llmapi/llm_args.py
+++ b/tensorrt_llm/llmapi/llm_args.py
@@ -465,7 +465,7 @@ def spec_dec_mode(self):
         return TorchSpeculativeDecodingMode.EAGLE3
 
     @functools.cached_property
-    def num_capture_layers(self):
+    def num_capture_layers(self) -> int:
         """
         Returns the number of layers to capture of the target model.
         If eagle3_layers_to_capture is not None, return the length of the set.
@@ -541,6 +541,7 @@ class MTPDecodingConfig(DecodingBaseConfig):
     relaxed_topk: int = 1
     relaxed_delta: float = 0.
     use_mtp_vanilla: bool = False
+    mtp_eagle_one_model: bool = True
 
     # TODO: remove this after distinguishing `max_draft_len` and `num_nextn_predict_layers`
     # Now we need a flag when MTPDecodingConfig is updated by PyTorchModelEngine.
@@ -564,11 +565,19 @@ def from_dict(cls, data: dict):
     def supports_backend(self, backend: str) -> bool:
         return backend == "pytorch"
 
+    @functools.cached_property
+    def num_capture_layers(self) -> int:
+        if not self.use_mtp_vanilla and not self.mtp_eagle_one_model:
+            return 1
+        return 0
+
     @functools.cached_property
     def spec_dec_mode(self):
         from tensorrt_llm._torch.speculative.interface import \
             SpeculativeDecodingMode as TorchSpeculativeDecodingMode
-        if self.num_nextn_predict_layers_from_model_config == 1 and not self.use_mtp_vanilla:
+        if self.num_nextn_predict_layers_from_model_config == 1 and not self.use_mtp_vanilla and self.mtp_eagle_one_model:
+            return TorchSpeculativeDecodingMode.MTP_EAGLE_ONE_MODEL
+        elif self.num_nextn_predict_layers_from_model_config == 1 and not self.use_mtp_vanilla and not self.mtp_eagle_one_model:
             return TorchSpeculativeDecodingMode.MTP_EAGLE
         return TorchSpeculativeDecodingMode.MTP
 
diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py
index a26f750db8b..333a99726c4 100644
--- a/tests/integration/defs/test_e2e.py
+++ b/tests/integration/defs/test_e2e.py
@@ -1913,11 +1913,40 @@ def test_ptp_quickstart_advanced_mtp(llm_root, llm_venv, model_name,
                 "MTP",
                 "--model_dir",
                 f"{llm_models_root()}/{model_path}",
+                "--use_one_model",
             ],
             stdout=running_log)
         _check_mem_usage(running_log, [54.60, 0, 0, 0])
 
 
+@pytest.mark.parametrize("model_name,model_path", [
+    ("DeepSeek-V3-Lite-BF16", "DeepSeek-V3-Lite/bf16"),
+])
+def test_ptp_quickstart_advanced_mtp_eagle(llm_root, llm_venv, model_name,
+                                           model_path):
+    print(f"Testing {model_name}.")
+    example_root = Path(os.path.join(llm_root, "examples", "llm-api"))
+    with tempfile.NamedTemporaryFile(mode='w+t',
+                                     suffix=f".{model_name}.log",
+                                     dir="./",
+                                     delete=True,
+                                     delete_on_close=True) as running_log:
+        llm_venv.run_cmd(
+            [
+                str(example_root / "quickstart_advanced.py"),
+                "--use_cuda_graph",
+                "--spec_decode_max_draft_len",
+                "1",  # test 1 MTP module
+                "--spec_decode_algo",
+                "MTP",
+                "--model_dir",
+                f"{llm_models_root()}/{model_path}",
+            ],
+            stdout=running_log)
+        # 74.60 is the memory usage for DeepSeek-V3-Lite-BF16 with MTP Eagle 2 two model style as one extra kv cache is needed for draft model.
+        _check_mem_usage(running_log, [74.60, 0, 0, 0])
+
+
 @pytest.mark.skip_less_device(4)
 def test_ptp_quickstart_advanced_bs1(llm_root, llm_venv):
     model_name = "DeepSeek-V3-Lite-FP8"
@@ -2169,6 +2198,7 @@ def test_relaxed_acceptance_quickstart_advanced_deepseek_r1_8gpus(
             "--relaxed_topk=10",
             "--relaxed_delta=0.5",
             "--enable_attention_dp",
+            "--use_one_model",
         ],
                          stdout=running_log)
         _check_mem_usage(running_log, [85.6, 0, 0, 0], 8)

From 7646da2d85fe215bd0a4d592d9e48fd2d1eb92ab Mon Sep 17 00:00:00 2001
From: QI JUN <22017000+QiJune@users.noreply.github.com>
Date: Fri, 19 Sep 2025 07:19:50 +0800
Subject: [PATCH 13/76] [None][ci] set TORCHINDUCTOR_COMPILE_THREADS correctly
 (#7800)

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
---
 tests/integration/defs/test_unittests.py      |  9 ++++--
 .../unittest/_torch/thop/parallel/conftest.py | 28 -------------------
 2 files changed, 6 insertions(+), 31 deletions(-)
 delete mode 100644 tests/unittest/_torch/thop/parallel/conftest.py

diff --git a/tests/integration/defs/test_unittests.py b/tests/integration/defs/test_unittests.py
index 0e83cb6d38e..1655a277283 100644
--- a/tests/integration/defs/test_unittests.py
+++ b/tests/integration/defs/test_unittests.py
@@ -136,13 +136,16 @@ def test_unittests_v2(llm_root, llm_venv, case: str, output_dir, request):
 
     print(f"Running unit test:'{command}'")
 
-    def run_command(cmd):
+    def run_command(cmd, num_workers=1):
         try:
             pythonpath = os.environ.get("PYTHONPATH", "")
+            env = {'PYTHONPATH': f"{llm_root}/tests/unittest:{pythonpath}"}
+            if num_workers > 1:
+                env['TORCHINDUCTOR_COMPILE_THREADS'] = '1'
             llm_venv.run_cmd(
                 cmd,
                 cwd=test_root,
-                env={'PYTHONPATH': f"{llm_root}/tests/unittest:{pythonpath}"},
+                env=env,
             )
         except CalledProcessError:
             return False
@@ -160,7 +163,7 @@ def run_command(cmd):
         parallel_command = command + [
             "-n", f"{num_workers}", f"--junitxml={parallel_output_xml}"
         ]
-        passed = run_command(parallel_command)
+        passed = run_command(parallel_command, num_workers)
 
         assert os.path.exists(
             parallel_output_xml
diff --git a/tests/unittest/_torch/thop/parallel/conftest.py b/tests/unittest/_torch/thop/parallel/conftest.py
deleted file mode 100644
index 27911b32157..00000000000
--- a/tests/unittest/_torch/thop/parallel/conftest.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import os
-
-import pytest
-
-
-@pytest.fixture(autouse=True, scope='function')
-def set_torchinductor_compile_threads():
-    """
-    Fixture to set TORCHINDUCTOR_COMPILE_THREADS=1 for tests in this directory.
-    """
-    # --- Setup Phase ---
-    # Save the original value if it exists
-    original_value = os.environ.get('TORCHINDUCTOR_COMPILE_THREADS')
-
-    # Set the desired value for the test
-    os.environ['TORCHINDUCTOR_COMPILE_THREADS'] = '1'
-
-    # Let the test run with the new environment variable
-    yield
-
-    # --- Teardown Phase ---
-    # Restore the original environment state after the test is done
-    if original_value is None:
-        # If the variable didn't exist before, remove it
-        del os.environ['TORCHINDUCTOR_COMPILE_THREADS']
-    else:
-        # Otherwise, restore its original value
-        os.environ['TORCHINDUCTOR_COMPILE_THREADS'] = original_value

From 420f0fbcf5a22077694177a3c2362805a904968e Mon Sep 17 00:00:00 2001
From: Ziyi Xiong <219238287+ziyixiong-nv@users.noreply.github.com>
Date: Fri, 19 Sep 2025 08:11:29 +0800
Subject: [PATCH 14/76] [https://nvbugs/5522851][fix] Correct the logic to
 update kv_lens_cuda (#7790)

Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>
---
 .../_torch/pyexecutor/model_engine.py         | 21 ++++++++++++++++---
 .../_torch/speculative/test_eagle3.py         |  3 +--
 2 files changed, 19 insertions(+), 5 deletions(-)

diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py
index 35768ce1d6f..4cbbce33af8 100644
--- a/tensorrt_llm/_torch/pyexecutor/model_engine.py
+++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py
@@ -1218,13 +1218,28 @@ def _postprocess_inputs(self, inputs: Dict[str, Any]):
                 num_ctx_requests = inputs['attn_metadata'].num_contexts
                 num_gen_requests = inputs['attn_metadata'].num_generations
                 num_ctx_tokens = inputs['attn_metadata'].num_ctx_tokens
+                num_chunked_ctx_requests = inputs[
+                    'attn_metadata'].num_chunked_ctx_requests
                 previous_batch_tokens = inputs['input_ids'].shape[
                     0] - num_ctx_tokens
                 inputs['position_ids'][0, num_ctx_tokens:] -= (
                     self.previous_pos_id_offsets_cuda[:previous_batch_tokens])
-                inputs['attn_metadata'].kv_lens_cuda[
-                    num_ctx_requests:num_seqs] -= (
-                        self.previous_kv_lens_offsets_cuda[:num_gen_requests])
+                # Only TrtllmAttentionMetadata has kv_lens_cuda.
+                if isinstance(inputs['attn_metadata'], TrtllmAttentionMetadata):
+                    if num_chunked_ctx_requests > 0:
+                        inputs['attn_metadata'].kv_lens_cuda[
+                            num_ctx_requests -
+                            num_chunked_ctx_requests:num_ctx_requests] -= (
+                                self.
+                                previous_kv_lens_offsets_cuda[:
+                                                              num_chunked_ctx_requests]
+                            )
+                    else:
+                        inputs['attn_metadata'].kv_lens_cuda[
+                            num_ctx_requests:num_seqs] -= (
+                                self.
+                                previous_kv_lens_offsets_cuda[:num_gen_requests]
+                            )
 
     def _get_all_rank_num_tokens(self, attn_metadata: AttentionMetadata):
         if self.enable_attention_dp:
diff --git a/tests/unittest/_torch/speculative/test_eagle3.py b/tests/unittest/_torch/speculative/test_eagle3.py
index c183f0dec82..fbd5e93e9d9 100644
--- a/tests/unittest/_torch/speculative/test_eagle3.py
+++ b/tests/unittest/_torch/speculative/test_eagle3.py
@@ -37,8 +37,7 @@
         [False, "TRTLLM", False, False, False, False, False],
         [True, "TRTLLM", False, False, False, True, True],
         [True, "TRTLLM", False, False, False, True, False],
-        # TODO: nvbugs/5522851
-        # [True, "FLASHINFER", False, False, False, False, True],
+        [True, "FLASHINFER", False, False, False, False, True],
         [False, "FLASHINFER", False, False, False, False, True],
     ])
 @pytest.mark.high_cuda_memory

From d6ebcf7c4aa2afed4d01e021a076ae40cf76abb5 Mon Sep 17 00:00:00 2001
From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
Date: Fri, 19 Sep 2025 09:40:49 +0800
Subject: [PATCH 15/76] [TRTLLM-6994][feat] FP8 Context MLA integration
 (Cherry-pick https://github.com/NVIDIA/TensorRT-LLM/pull/6059 from
 release/1.1.0rc2) (#7610)

Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
---
 cpp/tensorrt_llm/common/attentionOp.cpp       |  8 +---
 cpp/tensorrt_llm/common/attentionOp.h         | 14 +++---
 .../trtllmGenKernels/fmha/fmhaKernels.h       |  4 +-
 cpp/tensorrt_llm/thop/attentionOp.cpp         | 17 +++----
 tensorrt_llm/_torch/modules/attention.py      | 46 +++++++------------
 .../_torch/pyexecutor/model_engine.py         |  2 +-
 tensorrt_llm/executor/worker.py               |  5 ++
 .../defs/accuracy/test_llm_api_pytorch.py     | 18 ++++++--
 8 files changed, 56 insertions(+), 58 deletions(-)

diff --git a/cpp/tensorrt_llm/common/attentionOp.cpp b/cpp/tensorrt_llm/common/attentionOp.cpp
index a3839983862..51bccb7e6e7 100644
--- a/cpp/tensorrt_llm/common/attentionOp.cpp
+++ b/cpp/tensorrt_llm/common/attentionOp.cpp
@@ -2572,8 +2572,7 @@ int AttentionOp::initialize() noexcept
     if (mIsMLAEnabled)
     {
         TLLM_CHECK_WITH_INFO(mEnableContextFMHA, "MLA(Deepseek v2) only support fmha");
-        TLLM_CHECK_WITH_INFO(
-            !mFP8ContextFMHA && !mDenseContextFMHA, "MLA(Deepseek v2) currently not support FP8 and dense fmha");
+        TLLM_CHECK_WITH_INFO(!mDenseContextFMHA, "MLA(Deepseek v2) currently not support dense fmha");
         TLLM_CHECK_WITH_INFO(
             mPagedKVCache && mUseKVCache && mRemovePadding, "MLA(Deepseek v2) only support paged kv cache");
         TLLM_CHECK_WITH_INFO(!mCrossAttention, "MLA(Deepseek v2) do not support cross attention right now");
@@ -2739,11 +2738,6 @@ int AttentionOp::initialize() noexcept
                     qDataType = DATA_TYPE_E4M3;
                     kvDataType = DATA_TYPE_E4M3;
                 }
-                // When FP8 Context FMHA is enabled, the output data type needs to be E4M3.
-                if (mFP8ContextFMHA)
-                {
-                    outputDataType = DATA_TYPE_E4M3;
-                }
 
                 // Instantiate the mTllmGenFMHARunner used for MLA
                 mTllmGenFMHARunner.reset(new TllmGenFmhaRunner(qDataType, kvDataType, outputDataType));
diff --git a/cpp/tensorrt_llm/common/attentionOp.h b/cpp/tensorrt_llm/common/attentionOp.h
index e85ed42e2e9..f33194c02fa 100644
--- a/cpp/tensorrt_llm/common/attentionOp.h
+++ b/cpp/tensorrt_llm/common/attentionOp.h
@@ -470,13 +470,13 @@ class AttentionOp
             (int8_t) mPositionEmbeddingType, mUseLognScaling, mRemovePadding, (int32_t) mMaskType,
             mBlockSparseParams.data(), mPagedKVCache, mTokensPerBlock, mKVCacheQuantMode.value(), mTpSize, mTpRank,
             mUnfuseQkvGemm, (int32_t) mType, mMaxContextLength, mQKVBiasEnabled, mCrossAttention, mMaxDistance,
-            mPosShiftEnabled, mPagedContextFMHA, mFP8ContextFMHA, mChunkPrefillBufferBatchSize, mFP8AttenOutput,
-            mDenseContextFMHA, mHasFullAttentionMask, mIsSpecDecodingEnabled, mUseSpecDecoding, mIsSpecDecTree,
-            mSpecDecodingIsGenerationLengthVariable, mSpecDecodingMaxGenerationLength, mIsMLAEnabled, mIsGenerationMLA,
-            mUseGenFlashMLA, mMLAParams.data(), mCpSize, mCpRank, mCpGroup, mNumAttnHeads, mNumAttnKVHeads,
-            mNumKVHeadsOrigin, mAttnTpSize, mAttnTpRank, mAttnCpSize, mAttnCpRank, mUlyssesMQABroadcast,
-            mEnableContextFMHA, mFMHAForceFP32Acc, mMultiBlockMode, mEnableXQA, mUseKVCache, mSkipAttn, mFuseFp4Quant,
-            mNbMultiBlockSemaphores, mAttentionChunkSize.value_or(-1));
+            mPosShiftEnabled, mPagedContextFMHA, mFP8ContextFMHA, mFP8AttenOutput, mFP8ContextMLA, mFP8GenerationMLA,
+            mChunkPrefillBufferBatchSize, mDenseContextFMHA, mHasFullAttentionMask, mIsSpecDecodingEnabled,
+            mUseSpecDecoding, mIsSpecDecTree, mSpecDecodingIsGenerationLengthVariable, mSpecDecodingMaxGenerationLength,
+            mIsMLAEnabled, mIsGenerationMLA, mUseGenFlashMLA, mMLAParams.data(), mCpSize, mCpRank, mCpGroup,
+            mNumAttnHeads, mNumAttnKVHeads, mNumKVHeadsOrigin, mAttnTpSize, mAttnTpRank, mAttnCpSize, mAttnCpRank,
+            mUlyssesMQABroadcast, mEnableContextFMHA, mFMHAForceFP32Acc, mMultiBlockMode, mEnableXQA, mUseKVCache,
+            mSkipAttn, mFuseFp4Quant, mNbMultiBlockSemaphores, mAttentionChunkSize.value_or(-1));
     };
 
 private:
diff --git a/cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/fmhaKernels.h b/cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/fmhaKernels.h
index 96062744278..a297db78f00 100644
--- a/cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/fmhaKernels.h
+++ b/cpp/tensorrt_llm/kernels/trtllmGenKernels/fmha/fmhaKernels.h
@@ -549,7 +549,9 @@ class TllmGenFmhaKernel
         int numTokensPerPage = (!isPagedKv(params.mQkvLayout)) ? 0 : params.mNumTokensPerPage;
 
         // Debug info.
-        std::string info = "qkvLayout=" + std::to_string(static_cast<int>(params.mQkvLayout))
+        std::string info = "dtypeQ=" + std::to_string(static_cast<int>(mDtypeQ)) + ", dtypeKv="
+            + std::to_string(static_cast<int>(mDtypeKv)) + ", dtypeOut=" + std::to_string(static_cast<int>(mDtypeOut))
+            + ", sm=" + std::to_string(mSM) + ", qkvLayout=" + std::to_string(static_cast<int>(params.mQkvLayout))
             + ", maskType=" + std::to_string(static_cast<int>(selectKernelParams.mMaskType))
             + ", kernelType=" + std::to_string(static_cast<int>(kernelType))
             + ", tileScheduler=" + std::to_string(static_cast<int>(selectKernelParams.mTileScheduler))
diff --git a/cpp/tensorrt_llm/thop/attentionOp.cpp b/cpp/tensorrt_llm/thop/attentionOp.cpp
index 8cc232c14f7..f7896bb70c8 100644
--- a/cpp/tensorrt_llm/thop/attentionOp.cpp
+++ b/cpp/tensorrt_llm/thop/attentionOp.cpp
@@ -538,38 +538,38 @@ void attention(torch::Tensor q, std::optional<torch::Tensor> k, std::optional<to
     {
         if (is_fp8_out)
         {
-            runner.reset(new Runner<half, __nv_fp8_e4m3>());
+            runner = std::make_shared<Runner<half, __nv_fp8_e4m3>>();
         }
         else if (is_fp4_out)
         {
-            runner.reset(new Runner<half, __nv_fp4_e2m1>());
+            runner = std::make_shared<Runner<half, __nv_fp4_e2m1>>();
         }
         else
         {
             TLLM_CHECK(!out_dtype.has_value() || out_dtype.value() == torch::kFloat16);
-            runner.reset(new Runner<half>());
+            runner = std::make_shared<Runner<half>>();
         }
     }
     else if (dtype == nvinfer1::DataType::kFLOAT)
     {
         TLLM_CHECK(!out_dtype.has_value() || out_dtype.value() == torch::kFloat32);
-        runner.reset(new Runner<float>());
+        runner = std::make_shared<Runner<float>>();
     }
 #ifdef ENABLE_BF16
     else if (dtype == nvinfer1::DataType::kBF16)
     {
         if (is_fp8_out)
         {
-            runner.reset(new Runner<__nv_bfloat16, __nv_fp8_e4m3>());
+            runner = std::make_shared<Runner<__nv_bfloat16, __nv_fp8_e4m3>>();
         }
         else if (is_fp4_out)
         {
-            runner.reset(new Runner<__nv_bfloat16, __nv_fp4_e2m1>());
+            runner = std::make_shared<Runner<__nv_bfloat16, __nv_fp4_e2m1>>();
         }
         else
         {
             TLLM_CHECK(!out_dtype.has_value() || out_dtype.value() == torch::kBFloat16);
-            runner.reset(new Runner<__nv_bfloat16>());
+            runner = std::make_shared<Runner<__nv_bfloat16>>();
         }
     }
 #endif
@@ -637,7 +637,8 @@ void attention(torch::Tensor q, std::optional<torch::Tensor> k, std::optional<to
             static_cast<int>(v_head_dim.value()), static_cast<int>(predicted_tokens_per_seq),
             static_cast<int>(layer_num)};
 
-        op->mFP8ContextMLA = (tensorrt_llm::common::getSMVersion() == 120 || tensorrt_llm::common::getSMVersion() == 90)
+        op->mFP8ContextMLA = (tensorrt_llm::common::getSMVersion() == 90 || tensorrt_llm::common::getSMVersion() == 100
+                                 || tensorrt_llm::common::getSMVersion() == 120)
             && op->mKVCacheQuantMode.hasFp8KvCache();
         op->mIsGenerationMLA = head_size == op->mMLAParams.kv_lora_rank + op->mMLAParams.qk_rope_head_dim;
         op->mFP8GenerationMLA = op->mKVCacheQuantMode.hasFp8KvCache();
diff --git a/tensorrt_llm/_torch/modules/attention.py b/tensorrt_llm/_torch/modules/attention.py
index d7c6c0f2b04..0534db4542b 100644
--- a/tensorrt_llm/_torch/modules/attention.py
+++ b/tensorrt_llm/_torch/modules/attention.py
@@ -301,6 +301,12 @@ def create_weights(self):
         # which could be modified after __init__
         self.attn.update_quant_config(self.quant_config)
 
+        self.o_proj.create_weights()
+        self.has_quant_scale = (self.o_proj.has_fp8_qdq or self.o_proj.has_nvfp4
+                                or self.o_proj.has_fp8_block_scales
+                                or self.o_proj.has_fp8_rowwise
+                                or self.o_proj.has_w4a8_nvfp4_fp8)
+
     def split_qkv(self, q, k=None, v=None):
         if k is None and v is None:
             q, k, v = q.split([self.q_size, self.kv_size, self.kv_size], dim=-1)
@@ -320,12 +326,8 @@ def create_output(self, q: torch.Tensor):
         out_dtype = q.dtype
 
         if self.attn_backend == "TRTLLM":
-            has_quant_scale = (self.o_proj.has_fp8_qdq or self.o_proj.has_nvfp4
-                               or self.o_proj.has_fp8_block_scales
-                               or self.o_proj.has_fp8_rowwise
-                               or self.o_proj.has_w4a8_nvfp4_fp8)
-            if has_quant_scale and (self.attn.has_fp8_kv_cache
-                                    or self.attn.has_fp4_kv_cache):
+            if self.has_quant_scale and (self.attn.has_fp8_kv_cache
+                                         or self.attn.has_fp4_kv_cache):
                 out_dtype = torch.float8_e4m3fn
         output = q.new_empty([num_tokens, hidden_size], dtype=out_dtype)
         return output
@@ -356,11 +358,7 @@ def _attn_impl(
 
         out_scale = None
         out_scale_sf = None
-        has_quant_scale = (self.o_proj.has_fp8_qdq or self.o_proj.has_nvfp4
-                           or self.o_proj.has_fp8_block_scales
-                           or self.o_proj.has_fp8_rowwise
-                           or self.o_proj.has_w4a8_nvfp4_fp8)
-        if has_quant_scale:
+        if self.has_quant_scale:
             out_scale = self.o_proj.inv_input_scale
         if self.o_proj.has_nvfp4 and self.support_nvfp4_output and enable_attn_nvfp4_output:
             out_scale_sf = self.o_proj.input_scale
@@ -858,6 +856,9 @@ def create_weights(self):
         self.mha.update_quant_config(self.quant_config)
         self.mqa.update_quant_config(self.quant_config)
 
+        # Although we use FP8 MLA for context/generation phase, the output is still in BF16
+        self.out_scale = None
+
         # k_b_proj_trans's dtype must be consistent with self.kv_b_proj,
         # which can be modified after __init__
         has_fp8_block_scales = (
@@ -1061,9 +1062,6 @@ def forward_context_default(
                                                        self.qk_rope_head_dim)
         k = k.view(-1, self.num_heads * self.qk_head_dim)
 
-        # out_scale = getattr(self.o_proj, "inv_input_scale", None)
-        out_scale = None  # Currently we use BF16 MHA for context phase
-
         attn_output = self.mha.forward(
             q,
             k,
@@ -1071,7 +1069,7 @@ def forward_context_default(
             attn_metadata,
             attention_input_type=AttentionInputType.context_only,
             latent_cache=latent_cache,
-            out_scale=out_scale,
+            out_scale=self.out_scale,
             output=output,
         )
 
@@ -1126,9 +1124,6 @@ def forward_context_with_cached_kv(
         full_kv = None
         full_k_nope = None
 
-        # out_scale = getattr(self.o_proj, "inv_input_scale", None)
-        out_scale = None  # Currently we use BF16 MHA for context phase
-
         # latent_cache must be None to differentiate from normal context phase,
         # so that we can skip applying RoPE and appending KV cache inside attention op
         attn_output = self.mha.forward(
@@ -1138,7 +1133,7 @@ def forward_context_with_cached_kv(
             attn_metadata,
             attention_input_type=AttentionInputType.context_only,
             latent_cache=None,
-            out_scale=out_scale,
+            out_scale=self.out_scale,
             output=output,
         )
 
@@ -1232,7 +1227,6 @@ def forward_context_with_chunked_prefill(
                 loop_idx]
             attn_metadata.host_total_kv_lens[0] = total_ctx_chunked_tokens
 
-            out_scale = None
             # do not apply mask for attention within loop
             # latent_cache must be None to differentiate from normal context phase,
             # so that we can skip applying RoPE and appending KV cache inside attention op
@@ -1243,7 +1237,7 @@ def forward_context_with_chunked_prefill(
                 attn_metadata,
                 attention_input_type=AttentionInputType.context_only,
                 latent_cache=None,
-                out_scale=out_scale,
+                out_scale=self.out_scale,
                 attention_mask=PredefinedAttentionMask.FULL,
                 softmax_stats_tensor=self.temp_softmax_stats_tensor,
                 chunked_prefill_buffer_batch_size=attn_metadata.
@@ -1284,9 +1278,6 @@ def forward_context_with_chunked_prefill(
                                                        num_contexts].sum().item(
                                                        )
 
-        # out_scale = getattr(self.o_proj, "inv_input_scale", None)
-        out_scale = None  # Currently we use BF16 MHA for context phase
-
         # latent_cache must be None to differentiate from normal context phase,
         # so that we can skip applying RoPE and appending KV cache inside attention op
         temp_attn_output = self.mha.forward(
@@ -1296,7 +1287,7 @@ def forward_context_with_chunked_prefill(
             attn_metadata,
             attention_input_type=AttentionInputType.context_only,
             latent_cache=None,
-            out_scale=out_scale,
+            out_scale=self.out_scale,
             softmax_stats_tensor=self.temp_softmax_stats_tensor,
             chunked_prefill_buffer_batch_size=attn_metadata.runtime_features.
             chunked_prefill_buffer_batch_size,
@@ -1394,16 +1385,13 @@ def forward_generation(
             self.num_heads * (self.kv_lora_rank + self.qk_rope_head_dim)
         ])
 
-        # out_scale = getattr(self.o_proj, "inv_input_scale", None)
-        out_scale = None  # Although we use FP8 MLA for generation phase, the output is still in BF16
-
         attn_out_latent = self.mqa.forward(
             fused_q,
             None,
             None,
             attn_metadata,
             attention_input_type=AttentionInputType.generation_only,
-            out_scale=out_scale,
+            out_scale=self.out_scale,
             latent_cache=latent_cache,  # kvcache and k_pe
             q_pe=q_pe,  # used by `invokeMLARopeGeneration`
         )
diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py
index 4cbbce33af8..5281a7de888 100644
--- a/tensorrt_llm/_torch/pyexecutor/model_engine.py
+++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py
@@ -1002,7 +1002,7 @@ def init_meta_tensor(t: torch.Tensor):
 
             except Exception:
                 logger.info(
-                    f"Fallback to regular model init: {traceback.format_exc(limit=1)}\n"
+                    f"Fallback to regular model init: {traceback.format_exc(limit=10)}\n"
                 )
                 model = AutoModelForCausalLM.from_config(config)
 
diff --git a/tensorrt_llm/executor/worker.py b/tensorrt_llm/executor/worker.py
index 4a7f49ea14e..86c2bf6e7b9 100644
--- a/tensorrt_llm/executor/worker.py
+++ b/tensorrt_llm/executor/worker.py
@@ -512,6 +512,10 @@ def _deduce_max_tokens(request: GenerationRequest,
                 else:
                     # use max_tokens if can't deduce default_max_tokens
                     return max_tokens
+            if executor_config is not None:
+                assert (
+                    len(prompt_token_ids) <= executor_config.max_seq_len
+                ), f"`prompt_token_ids` length ({len(prompt_token_ids)}) is greater than `max_seq_len` ({executor_config.max_seq_len})"
             splited_prompt_len = int(len(prompt_token_ids) / cp_size)
             default_max_tokens = max_seq_len - splited_prompt_len - query_token_len
             if default_max_tokens <= 0:
@@ -892,6 +896,7 @@ def notify_proxy_threads_to_quit():
                             worker.submit(req)
                         except RequestError as e:
                             logger.error(f"submit request failed: {e}")
+                            logger.error(traceback.format_exc())
                             worker._await_response_helper.temp_error_responses.put(
                                 ErrorResponse(req.id, e, req.id))
                     else:
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index 305dd3c67d9..6cbf6ca4121 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -1212,7 +1212,7 @@ def test_bfloat16_4gpus(self, tp_size, pp_size, ep_size, mtp_nextn,
             task = GSM8K(self.MODEL_NAME)
             task.evaluate(llm)
 
-    @skip_no_hopper
+    @skip_pre_hopper
     @parametrize_with_ids("torch_compile", [False, True])
     @parametrize_with_ids("fp8kv,attention_dp,cuda_graph,overlap_scheduler",
                           [(False, False, False, False),
@@ -1236,6 +1236,8 @@ def test_fp8_block_scales(self, mtp, fp8kv, attention_dp, cuda_graph,
             disable_overlap_scheduler=not overlap_scheduler,
             cuda_graph_config=CudaGraphConfig() if cuda_graph else None,
             torch_compile_config=torch_compile_config,
+            moe_config=MoeConfig(
+                backend="DEEPGEMM" if get_sm_version() >= 100 else "CUTLASS"),
         )
 
         if fp8kv:
@@ -1311,7 +1313,7 @@ def test_cute_dsl_fp8_block_scales(
             task = GSM8K(self.MODEL_NAME)
             task.evaluate(llm)
 
-    @pytest.mark.skip_device_not_contain(["H100"])
+    @skip_pre_hopper
     @parametrize_with_ids("mtp_nextn", [0, 2])
     def test_fp8_block_scales_cuda_graph_padding(self, mtp_nextn):
         kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.75)
@@ -1324,6 +1326,8 @@ def test_fp8_block_scales_cuda_graph_padding(self, mtp_nextn):
                 max_batch_size=512,
                 enable_padding=True,
             ),
+            moe_config=MoeConfig(
+                backend="DEEPGEMM" if get_sm_version() >= 100 else "CUTLASS"),
         )
         with LLM(f"{llm_models_root()}/DeepSeek-V3-Lite/fp8",
                  kv_cache_config=kv_cache_config,
@@ -1334,7 +1338,7 @@ def test_fp8_block_scales_cuda_graph_padding(self, mtp_nextn):
             task.evaluate(llm)
 
     @pytest.mark.skip_less_device(4)
-    @skip_no_hopper
+    @skip_pre_hopper
     @parametrize_with_ids("mtp_nextn", [0, 2])
     @parametrize_with_ids("attention_dp", [False, True])
     def test_fp8_block_scales_cuda_graph_padding_4gpus(self, mtp_nextn,
@@ -1346,6 +1350,8 @@ def test_fp8_block_scales_cuda_graph_padding_4gpus(self, mtp_nextn,
         pytorch_config = dict(
             disable_overlap_scheduler=False,
             cuda_graph_config=CudaGraphConfig(enable_padding=True),
+            moe_config=MoeConfig(
+                backend="DEEPGEMM" if get_sm_version() >= 100 else "CUTLASS"),
         )
 
         with LLM(f"{llm_models_root()}/DeepSeek-V3-Lite/fp8",
@@ -1359,7 +1365,7 @@ def test_fp8_block_scales_cuda_graph_padding_4gpus(self, mtp_nextn,
             task.evaluate(llm)
 
     @pytest.mark.skip_less_device(4)
-    @skip_no_hopper
+    @skip_pre_hopper
     @parametrize_with_ids("torch_compile", [False, True])
     @parametrize_with_ids("fp8kv,attention_dp,cuda_graph,overlap_scheduler",
                           [(False, False, False, False),
@@ -1388,6 +1394,8 @@ def test_fp8_block_scales_4gpus(self, tp_size, pp_size, ep_size, mtp_nextn,
             disable_overlap_scheduler=not overlap_scheduler,
             cuda_graph_config=CudaGraphConfig() if cuda_graph else None,
             torch_compile_config=torch_compile_config,
+            moe_config=MoeConfig(
+                backend="DEEPGEMM" if get_sm_version() >= 100 else "CUTLASS"),
         )
 
         if fp8kv:
@@ -1474,7 +1482,7 @@ def test_cute_dsl_fp8_block_scales_4gpus(
             task.evaluate(llm)
 
     @pytest.mark.skip_less_device(4)
-    @pytest.mark.skip_device_not_contain(["H100", "H200"])
+    @skip_pre_hopper
     def test_fp8_block_scales_4gpus_static_eplb(self):
         kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.75)
 

From 423e5f6a3c46b69a00b749a18df06068c3f7afd4 Mon Sep 17 00:00:00 2001
From: xiweny <13230610+VALLIS-NERIA@users.noreply.github.com>
Date: Fri, 19 Sep 2025 09:50:54 +0800
Subject: [PATCH 16/76] [TRTLLM-6286] [feat] Update CUTLASS to 4.2 and enable
 SM103 group gemm (#7832)

Signed-off-by: Xiwen Yu <13230610+VALLIS-NERIA@users.noreply.github.com>
---
 3rdparty/cutlass                                    |  2 +-
 .../moe_gemm/moe_gemm_template_dispatch_tma_ws.h    | 13 +++++++------
 .../cutlass_kernels/python/generate_kernels.py      | 13 -------------
 3 files changed, 8 insertions(+), 20 deletions(-)

diff --git a/3rdparty/cutlass b/3rdparty/cutlass
index a49a78ffefc..57e3cfb47a2 160000
--- a/3rdparty/cutlass
+++ b/3rdparty/cutlass
@@ -1 +1 @@
-Subproject commit a49a78ffefc86a87160dfe0ccc3a3a2d1622c918
+Subproject commit 57e3cfb47a2d9e0d46eb6335c3dc411498efa198
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h
index f5e8655b6fd..70b2a430e48 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h
@@ -138,7 +138,7 @@ void dispatchMoeGemmFinalDispatchTmaWarpSpecialized(TmaWarpSpecializedGroupedGem
         TLLM_THROW("Please recompile with support for hopper by passing 90-real as an arch to build_wheel.py.");
     }
 #endif
-    // #ifndef COMPILE_BLACKWELL_SM103_TMA_GROUPED_GEMMS
+#ifndef COMPILE_BLACKWELL_SM103_TMA_GROUPED_GEMMS
     else if constexpr (Arch::kMinComputeCapability == 103)
     {
         static std::once_flag flag;
@@ -146,14 +146,15 @@ void dispatchMoeGemmFinalDispatchTmaWarpSpecialized(TmaWarpSpecializedGroupedGem
             []()
             {
                 TLLM_LOG_WARNING(
-                "Falling back to sm100f version due to a bug in cutlass." /*"For best performance please recompile with support for blackwell by "
-                "passing 103-real as an arch to build_wheel.py."*/);
+                    "For best performance please recompile with support for blackwell by "
+                    "passing 103-real as an arch to build_wheel.py.");
             });
-        return dispatchMoeGemmFinalDispatchTmaWarpSpecialized<cutlass::arch::Sm100, T, WeightType, OutputType,
-            EpilogueTag, FUSION, TileShape, ClusterShape>(
+        dispatchMoeGemmFinalDispatchTmaWarpSpecialized<cutlass::arch::Sm100, T, WeightType, OutputType, EpilogueTag,
+            FUSION, TileShape, ClusterShape>(
             hopper_input, num_experts, gemm_config, multi_processor_count, stream, occupancy, workspace_size);
+        return;
     }
-// #endif
+#endif
 #ifndef COMPILE_BLACKWELL_TMA_GROUPED_GEMMS
     else if constexpr (Arch::kMinComputeCapability >= 100 && Arch::kMinComputeCapability < 120)
     {
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/python/generate_kernels.py b/cpp/tensorrt_llm/kernels/cutlass_kernels/python/generate_kernels.py
index f406e234592..0ac521e44bb 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/python/generate_kernels.py
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/python/generate_kernels.py
@@ -3,19 +3,6 @@
 import os
 from itertools import chain, product
 
-file_to_patch = os.path.abspath(
-    os.path.join(
-        os.path.dirname(__file__),
-        "../../../../../3rdparty/cutlass/python/cutlass_library/heuristics_provider.py"
-    ))
-# replace "from library import" to "from cutlass_library.library import"
-with open(file_to_patch, "r") as f:
-    file_contents = f.read()
-with open(file_to_patch, "w") as f:
-    f.write(
-        file_contents.replace("from library import",
-                              "from cutlass_library.library import"))
-
 from cutlass_library import *
 
 

From c98b9468af9c007630bb71766316b0532c7fea05 Mon Sep 17 00:00:00 2001
From: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
Date: Fri, 19 Sep 2025 10:01:03 +0800
Subject: [PATCH 17/76] [None][fix] get Local IP by connect remote (#7719)

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
---
 .../ucx_utils/ucxCacheCommunicator.cpp        | 223 +++++++++++++-----
 1 file changed, 161 insertions(+), 62 deletions(-)

diff --git a/cpp/tensorrt_llm/executor/cache_transmission/ucx_utils/ucxCacheCommunicator.cpp b/cpp/tensorrt_llm/executor/cache_transmission/ucx_utils/ucxCacheCommunicator.cpp
index 7b7bda83245..2fdbc3e1ad8 100644
--- a/cpp/tensorrt_llm/executor/cache_transmission/ucx_utils/ucxCacheCommunicator.cpp
+++ b/cpp/tensorrt_llm/executor/cache_transmission/ucx_utils/ucxCacheCommunicator.cpp
@@ -73,93 +73,192 @@ class UcxCmMessage
     }
 };
 
-static std::string getLocalIp()
+std::string getLocalIpByNic(std::string const& interface)
 {
-    struct ifaddrs *ifaddr, *ifa;
-    void* addr_ptr;
-    std::string ip("UNKNOWN IP");
-
-    // Get the list of network interfaces
+    struct ifaddrs* ifaddr = nullptr;
     if (getifaddrs(&ifaddr) == -1)
     {
-        perror("getifaddrs");
-        return ip;
+        TLLM_LOG_ERROR(mpi::MpiComm::world().getRank(),
+            "getLocalIpByNic: Can't get local ip from NIC Interface. Please check whether TRTLLM_UCX_INTERFACE is set "
+            "correctly.");
+        return std::string{};
     }
-    bool getIp = false;
-    // Loop through the linked list of interfaces
-    for (int ipVIndex = 0; ipVIndex < 2; ipVIndex++)
+
+    for (struct ifaddrs* ifa = ifaddr; ifa != nullptr; ifa = ifa->ifa_next)
     {
-        for (ifa = ifaddr; ifa != nullptr; ifa = ifa->ifa_next)
+        if (ifa->ifa_addr == nullptr)
         {
-            // Check if the interface is an IP interface
-            if (ifa->ifa_addr == nullptr)
-                continue;
+            continue;
+        }
 
-            std::string ucxInterface = common::getEnvUCXInterface();
-            if (!ucxInterface.empty() && strcmp(ifa->ifa_name, ucxInterface.c_str()) != 0)
+        if (ifa->ifa_name == interface)
+        {
+            if (ifa->ifa_addr->sa_family == AF_INET)
             {
-                continue;
+                char ip[INET_ADDRSTRLEN]{};
+                void* addr = &((reinterpret_cast<struct sockaddr_in*>(ifa->ifa_addr))->sin_addr);
+                if ((inet_ntop(AF_INET, addr, ip, sizeof(ip)) != nullptr) && std::strcmp(ip, "0.0.0.0") != 0)
+                {
+                    freeifaddrs(ifaddr);
+                    return std::string(ip);
+                }
             }
-
-            // Skip the loopback interface
-            if (ucxInterface.empty() && (strncmp(ifa->ifa_name, "docker", 6) == 0 || strcmp(ifa->ifa_name, "lo") == 0))
+            else if (ifa->ifa_addr->sa_family == AF_INET6)
             {
-                continue;
+                char ip[INET6_ADDRSTRLEN]{};
+                void* addr = &((reinterpret_cast<struct sockaddr_in6*>(ifa->ifa_addr))->sin6_addr);
+                if ((inet_ntop(AF_INET6, addr, ip, sizeof(ip)) != nullptr) && std::strncmp(ip, "fe80::", 6) != 0
+                    && std::strcmp(ip, "::1") != 0)
+                {
+                    freeifaddrs(ifaddr);
+                    return std::string(ip);
+                }
             }
+        }
+    }
 
-            // Check if the address family is AF_INET (IPv4)
-            int addressFamily = (ipVIndex == 0) ? AF_INET : AF_INET6;
+    freeifaddrs(ifaddr);
+    TLLM_LOG_ERROR(mpi::MpiComm::world().getRank(),
+        "Can't get local ip from NIC Interface. Please check whether TRTLLM_UCX_INTERFACE is set correctly.");
+    return std::string{};
+}
 
-            if (ifa->ifa_addr->sa_family == addressFamily)
-            {
-                if (ipVIndex == 0) // IPv4
-                {
-                    addr_ptr = &((struct sockaddr_in*) ifa->ifa_addr)->sin_addr;
-                    char address_buffer[INET_ADDRSTRLEN];
-                    inet_ntop(AF_INET, addr_ptr, address_buffer, sizeof(address_buffer));
+std::string getLocalIpByHostname()
+{
+    char hostname[256]{};
+    if (gethostname(hostname, sizeof(hostname)) == -1)
+    {
+        TLLM_LOG_ERROR(mpi::MpiComm::world().getRank(), "getLocalIpByHostname: Can't get hostname");
+        return std::string{};
+    }
 
-                    TLLM_LOG_DEBUG(mpi::MpiComm::world().getRank(), " ***** UCX    Interface: %s IP Address: %s",
-                        ifa->ifa_name, address_buffer);
-                    ip = address_buffer;
-                }
-                else // IPv6
-                {
-                    addr_ptr = &((struct sockaddr_in6*) ifa->ifa_addr)->sin6_addr;
-                    char address_buffer[INET6_ADDRSTRLEN];
-                    inet_ntop(AF_INET6, addr_ptr, address_buffer, sizeof(address_buffer));
+    struct addrinfo hints = {};
+    hints.ai_family = AF_UNSPEC;
+    hints.ai_socktype = SOCK_STREAM;
+    hints.ai_flags = AI_CANONNAME;
 
-                    if (address_buffer[0] == 'f' && address_buffer[1] == 'e' && address_buffer[2] == '8'
-                        && address_buffer[3] == '0')
-                    {
-                        // local link address
+    struct addrinfo* res = nullptr;
+    if (getaddrinfo(hostname, nullptr, &hints, &res) != 0)
+    {
+        TLLM_LOG_WARNING(mpi::MpiComm::world().getRank(), "getLocalIpByHostname: Can't get address info for hostname");
+        return std::string{};
+    }
 
-                        ip = std::string(address_buffer) + "%" + ifa->ifa_name;
-                    }
-                    else
-                    {
-                        ip = address_buffer;
-                    }
-                    TLLM_LOG_DEBUG(mpi::MpiComm::world().getRank(), " ***** UCX    Interface: %s IP Address: %s",
-                        ifa->ifa_name, ip.c_str());
-                }
+    for (struct addrinfo* p = res; p != nullptr; p = p->ai_next)
+    {
 
-                getIp = true;
-                break;
+        if (p->ai_family == AF_INET)
+        { // IPv4
+            char ip[INET_ADDRSTRLEN]{};
+            struct sockaddr_in* ipv4 = reinterpret_cast<struct sockaddr_in*>(p->ai_addr);
+            void* addr = &(ipv4->sin_addr);
+            if ((inet_ntop(AF_INET, addr, ip, sizeof(ip)) != nullptr) && std::strcmp(ip, "127.0.0.1") != 0
+                && std::strcmp(ip, "0.0.0.0") != 0)
+            {
+                freeaddrinfo(res);
+                return std::string(ip);
+            }
+        }
+        else if (p->ai_family == AF_INET6)
+        { // IPv6
+            char ip[INET6_ADDRSTRLEN]{};
+            struct sockaddr_in6* ipv6 = reinterpret_cast<struct sockaddr_in6*>(p->ai_addr);
+            void* addr = &(ipv6->sin6_addr);
+            if ((inet_ntop(AF_INET6, addr, ip, sizeof(ip)) != nullptr) && std::strncmp(ip, "fe80::", 6) != 0
+                && std::strcmp(ip, "::1") != 0)
+            {
+                freeaddrinfo(res);
+                return std::string(ip);
             }
         }
-        if (getIp)
+    }
+
+    freeaddrinfo(res);
+    TLLM_LOG_WARNING(mpi::MpiComm::world().getRank(), "getLocalIpByHostname: Can't get local ip from hostname");
+    return std::string{};
+}
+
+std::string getLocalIpByRemoteOrHostName()
+{
+
+    // Try IPv4
+    struct sockaddr_in addr
+    {
+    };
+
+    addr.sin_family = AF_INET;
+    addr.sin_port = htons(80);
+    // using google's public dns server to get the local ip which can be accessed from remote
+    char const* dns_ip_v4 = "8.8.8.8";
+    inet_pton(AF_INET, dns_ip_v4, &addr.sin_addr);
+
+    int sock = socket(AF_INET, SOCK_DGRAM, 0);
+    if (sock != -1)
+    {
+        if (connect(sock, reinterpret_cast<struct sockaddr*>(&addr), sizeof(addr)) != -1)
         {
-            break;
+            socklen_t addr_len = sizeof(addr);
+            if (getsockname(sock, reinterpret_cast<struct sockaddr*>(&addr), &addr_len) != -1)
+            {
+                char ip[INET_ADDRSTRLEN]{};
+                inet_ntop(AF_INET, &addr.sin_addr, ip, sizeof(ip));
+                close(sock);
+                return std::string(ip);
+            }
         }
+        close(sock);
     }
-    if (!getIp)
+
+    // Try IPv6
+    struct sockaddr_in6 addr6
     {
-        TLLM_LOG_ERROR(mpi::MpiComm::world().getRank(),
-            "UCX   No valid IP address found please set correct UCX interface with env variable TRTLLM_UCX_INTERFACE");
+    };
+
+    addr6.sin6_family = AF_INET6;
+    addr6.sin6_port = htons(80);
+    // using google's public dns server
+    char const* dns_ipv6 = "2001:4860:4860::8888";
+    inet_pton(AF_INET6, dns_ipv6, &addr6.sin6_addr);
+
+    sock = socket(AF_INET6, SOCK_DGRAM, 0);
+    if (sock != -1)
+    {
+        if (connect(sock, reinterpret_cast<struct sockaddr*>(&addr6), sizeof(addr6)) != -1)
+        {
+            socklen_t addr_len = sizeof(addr6);
+            if (getsockname(sock, reinterpret_cast<struct sockaddr*>(&addr6), &addr_len) != -1)
+            {
+                char ip[INET6_ADDRSTRLEN]{};
+                inet_ntop(AF_INET6, &addr6.sin6_addr, ip, sizeof(ip));
+                close(sock);
+                return std::string(ip);
+            }
+        }
+        close(sock);
     }
 
-    freeifaddrs(ifaddr);
-    return ip;
+    // Try hostname
+    return getLocalIpByHostname();
+}
+
+static std::string getLocalIp()
+{
+    std::string ucxInterface = common::getEnvUCXInterface();
+    std::string localIP = {};
+    if (!ucxInterface.empty())
+    {
+        localIP = getLocalIpByNic(ucxInterface);
+    }
+    if (localIP.empty())
+    {
+        localIP = getLocalIpByRemoteOrHostName();
+    }
+    // check whether the localIP is valid
+    if (localIP.empty())
+    {
+        TLLM_THROW("getLocalIp: Can't get local ip");
+    }
+    return localIP;
 }
 
 std::optional<std::pair<std::string, int>> parse_zmq_endpoint(std::string const& endpoint)

From fc4e6d37022dbe46b8dc76934893f5a89e3bd100 Mon Sep 17 00:00:00 2001
From: fredricz-20070104 <226039983+fredricz-20070104@users.noreply.github.com>
Date: Fri, 19 Sep 2025 10:12:55 +0800
Subject: [PATCH 18/76] [TRTLLM-7183][test] Feature fix model issue for disagg
 serving (#7785)

Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>
---
 tests/integration/defs/perf/test_perf.py       |  2 +-
 tests/integration/defs/perf/utils.py           | 18 ++++++++++++++++++
 .../test_lists/qa/llm_perf_sanity.yml          |  4 ++--
 3 files changed, 21 insertions(+), 3 deletions(-)

diff --git a/tests/integration/defs/perf/test_perf.py b/tests/integration/defs/perf/test_perf.py
index 63fd396ecc8..b92689d0a66 100644
--- a/tests/integration/defs/perf/test_perf.py
+++ b/tests/integration/defs/perf/test_perf.py
@@ -2007,7 +2007,7 @@ def _get_disagg_client_command(self):
             f'{self._working_dir}/server_config.yaml', '-p',
             f'{client_dir}/prompts.json', '--ignore-eos',
             '--server-start-timeout',
-            str(1800)
+            str(3600)
         ]
         return client_cmd
 
diff --git a/tests/integration/defs/perf/utils.py b/tests/integration/defs/perf/utils.py
index 493b940bec9..f5cfb391e37 100644
--- a/tests/integration/defs/perf/utils.py
+++ b/tests/integration/defs/perf/utils.py
@@ -19,11 +19,13 @@
 import os
 import re
 import subprocess
+import time
 from datetime import datetime
 from enum import Enum
 from pathlib import Path
 from typing import Dict, List, NamedTuple, Optional
 
+import requests
 from _pytest.nodes import Item
 from _pytest.python import Function
 from defs.trt_test_alternative import (check_output, popen, print_error,
@@ -316,6 +318,19 @@ class PerfDisaggScriptTestCmds(NamedTuple):
     client_cmd: List[str]
     benchmark_cmd: List[str]
 
+    def wait_for_endpoint_ready(self, url: str, timeout: int = 600):
+        start = time.monotonic()
+        while time.monotonic() - start < timeout:
+            try:
+                time.sleep(1)
+                if requests.get(url).status_code == 200:
+                    print(f"endpoint {url} is ready")
+                    return
+            except Exception as err:
+                print(f"endpoint {url} is not ready, with exception: {err}")
+        print_error(
+            f"Endpoint {url} did not become ready within {timeout} seconds")
+
     def run_cmd(self, cmd_idx: int, venv) -> str:
         output = ""
         try:
@@ -340,6 +355,9 @@ def run_cmd(self, cmd_idx: int, venv) -> str:
                           stderr=subprocess.STDOUT,
                           env=venv._new_env,
                           shell=True) as server_proc):
+                self.wait_for_endpoint_ready(
+                    f"http://localhost:8000/health",
+                    timeout=1800)  # 30 minutes for large models
                 check_output(self.client_cmd, env=venv._new_env)
                 output += check_output(self.benchmark_cmd, env=venv._new_env)
         finally:
diff --git a/tests/integration/test_lists/qa/llm_perf_sanity.yml b/tests/integration/test_lists/qa/llm_perf_sanity.yml
index 342ef149392..3d61bc777df 100644
--- a/tests/integration/test_lists/qa/llm_perf_sanity.yml
+++ b/tests/integration/test_lists/qa/llm_perf_sanity.yml
@@ -222,5 +222,5 @@ llm_perf_sanity:
   - perf/test_perf.py::test_perf[llama_v4_maverick_17b_128e_instruct_fp8-bench-pytorch-float8-maxbs:1024-maxnt:20000-kv_frac:0.6-input_output_len:20000,2000-reqs:1000-ep:8-tp:8-gpus:8]
   - perf/test_perf.py::test_perf[llama_v4_scout_17b_16e_instruct_fp8-bench-pytorch-float8-maxbs:1024-maxnt:20000-kv_frac:0.85-input_output_len:20000,2000-reqs:1000-ep:8-tp:8-gpus:8] TIMEOUT(100)
   - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp8-bench-pytorch-float8-input_output_len:1000,2000-con:256-ep:8-gpus:8] TIMEOUT(60)
-  - perf/test_perf.py::test_perf[deepseek_v3_lite-disagg_server-ctx_dp:4-gen_tp:4]
-  - perf/test_perf.py::test_perf[llama_v3.1_70b-disagg_server-ctx_dp:4-gen_tp:4]
+  - perf/test_perf.py::test_perf[deepseek_v3_lite_fp8-disagg_server-ctx_dp:4-gen_tp:4]
+  - perf/test_perf.py::test_perf[llama_v3.1_8b-disagg_server-ctx_dp:4-gen_tp:4]

From a6370fd143009f1befc664672665fddd7c6db486 Mon Sep 17 00:00:00 2001
From: HuiGao-NV <huig@nvidia.com>
Date: Fri, 19 Sep 2025 10:25:21 +0800
Subject: [PATCH 19/76] [https://nvbugs/5481434][feat] cherry-pick fix to reuse
 pytorch memory segments occupied by cudagraph (#7747)

Signed-off-by: Hui Gao <huig@nvidia.com>
---
 .../modules/fused_moe/fused_moe_deepgemm.py   | 97 +++++++++++++++++--
 1 file changed, 88 insertions(+), 9 deletions(-)

diff --git a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_deepgemm.py b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_deepgemm.py
index 4c9bd9bb787..a96c12f606e 100644
--- a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_deepgemm.py
+++ b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_deepgemm.py
@@ -1,3 +1,4 @@
+import math
 from typing import Dict, List, Optional, Union
 
 import torch
@@ -365,6 +366,10 @@ class DeepGemmFusedMoE(CutlassFusedMoE):
     3. moe_finalize_scale_op: finalize the scale of the output tensor.
     """
 
+    # To reuse pytorch memory segments allocated during graph capture.
+    allocated_buffer_in_graph_pool: dict[str, list[torch.Tensor]] = {}
+    allocated_buffer_in_runtime: dict[str, torch.Tensor] = {}
+
     def __init__(
         self,
         *,
@@ -410,28 +415,102 @@ def __init__(
         )
 
     def get_workspace(self, m_max: int, group_size: int):
+
+        def select_buffer_with_more_elements(
+                graph_buffer: Optional[torch.Tensor],
+                runtime_buffer: Optional[torch.Tensor],
+                is_capturing: bool = False
+        ) -> tuple[Optional[torch.Tensor], bool]:
+            if is_capturing and graph_buffer is not None:
+                return graph_buffer, True
+
+            if is_capturing == False and runtime_buffer is not None:
+                return runtime_buffer, False
+
+            if graph_buffer is None:
+                return runtime_buffer, False
+
+            if runtime_buffer is None:
+                return graph_buffer, True
+
+        def get_empty(tensor_shape: list[int], dtype: torch.dtype,
+                      cache_name: str) -> torch.Tensor:
+            capture_graph = torch.cuda.is_current_stream_capturing()
+            if DeepGemmFusedMoE.allocated_buffer_in_graph_pool is not None:
+                numel_like = math.prod(tensor_shape)
+                runtime_buffer = None
+                if cache_name in DeepGemmFusedMoE.allocated_buffer_in_runtime:
+                    buffer = DeepGemmFusedMoE.allocated_buffer_in_runtime[
+                        cache_name]
+                    numel_buffer = buffer.numel()
+                    runtime_buffer = buffer if numel_buffer >= numel_like else None
+
+                graph_buffer = None
+                # Safely get the list of candidates. Defaults to an empty list if key is missing.
+                candidate_buffers = DeepGemmFusedMoE.allocated_buffer_in_graph_pool.get(
+                    cache_name, [])
+                for buffer in candidate_buffers:
+                    numel_buffer = buffer.numel()
+                    # buffer just needs to be large enough.
+                    if numel_buffer >= numel_like:
+                        graph_buffer = buffer
+                        break
+
+                if capture_graph and graph_buffer is not None:
+                    return graph_buffer[0:numel_like].view(tensor_shape)
+                else:
+                    buffer, use_graph = select_buffer_with_more_elements(
+                        graph_buffer,
+                        runtime_buffer,
+                        is_capturing=capture_graph)
+                    if buffer is not None:
+                        if not use_graph and capture_graph:
+                            # move the buffer into graph buffers since it's running in graph capturing mode.
+                            DeepGemmFusedMoE.allocated_buffer_in_runtime.pop(
+                                cache_name, None)
+                            DeepGemmFusedMoE.allocated_buffer_in_graph_pool.setdefault(
+                                cache_name, []).append(buffer)
+
+                            return buffer[0:numel_like].view(tensor_shape)
+
+            # Reach here, no buffer is found. Then, we will use a new buffer to replace the small one. Release the memory first.
+            if cache_name in DeepGemmFusedMoE.allocated_buffer_in_runtime:
+                del DeepGemmFusedMoE.allocated_buffer_in_runtime[cache_name]
+
+            # If we get here, no suitable buffer was found in the cache. Create a new one.
+            new_buffer = torch.zeros(tensor_shape, device='cuda', dtype=dtype)
+            if DeepGemmFusedMoE.allocated_buffer_in_graph_pool is not None:
+                if capture_graph:
+                    DeepGemmFusedMoE.allocated_buffer_in_graph_pool.setdefault(
+                        cache_name, []).append(new_buffer)
+                else:
+                    DeepGemmFusedMoE.allocated_buffer_in_runtime[
+                        cache_name] = new_buffer
+            return new_buffer
+
         hidden_size = self.hidden_size
         intermediate_size = self.intermediate_size_per_partition
         num_experts = self.expert_size_per_partition
 
         # create workspace
         fp8_dim = max(hidden_size, intermediate_size)
-        workspace_0 = torch.empty((num_experts * m_max * fp8_dim),
-                                  dtype=torch.float8_e4m3fn,
-                                  device='cuda')
-        workspace_1 = torch.empty(
-            (num_experts * m_max * max(intermediate_size * 2, hidden_size)),
+        workspace_0 = get_empty((num_experts * m_max * fp8_dim, ),
+                                dtype=torch.float8_e4m3fn,
+                                cache_name='workspace_0')
+        workspace_1 = get_empty(
+            (num_experts * m_max * max(intermediate_size * 2, hidden_size), ),
             dtype=torch.bfloat16,
-            device='cuda')
+            cache_name='workspace_1')
 
         # create workspace for scaling factors
         m_padded = fp8_utils.align(m_max, 4)
         scale_k = fp8_utils.ceil_div(fp8_dim, group_size)
         scale_k_padded = fp8_utils.align(scale_k, 4)
-        workspace_sf = torch.empty(
-            (num_experts * (scale_k_padded // 4) * m_padded),
+
+        workspace_sf = get_empty(
+            (num_experts * (scale_k_padded // 4) * m_padded, ),
             dtype=torch.int32,
-            device='cuda')
+            cache_name='workspace_sf')
 
         workspace = {
             "workspace_0": workspace_0,

From c5453103d62847c62db940bfcda1f8c6e128bc79 Mon Sep 17 00:00:00 2001
From: ruodil <200874449+ruodil@users.noreply.github.com>
Date: Fri, 19 Sep 2025 11:12:53 +0800
Subject: [PATCH 20/76] [None][test] add deepseek r1/v3 model with chunked
 prefill cases (#7124)

Signed-off-by: ruodil <200874449+ruodil@users.noreply.github.com>
---
 .../defs/perf/pytorch_model_config.py         | 29 ++++++++++++++-----
 .../test_lists/qa/llm_perf_cluster.yml        |  9 ++++++
 .../test_lists/qa/llm_perf_full.yml           |  3 ++
 3 files changed, 34 insertions(+), 7 deletions(-)

diff --git a/tests/integration/defs/perf/pytorch_model_config.py b/tests/integration/defs/perf/pytorch_model_config.py
index b0ea4398640..6032345d1b5 100644
--- a/tests/integration/defs/perf/pytorch_model_config.py
+++ b/tests/integration/defs/perf/pytorch_model_config.py
@@ -51,6 +51,13 @@ def get_model_yaml_config(model_label: str,
     # Pattern-based configurations for models matching specific substrings
     # This allows for flexible configuration of models based on naming patterns
     pattern_configs = [
+        # Deepseek default cases
+        {
+            'patterns': 'deepseek_r1',
+            'config': {
+                'enable_attention_dp': True,
+            }
+        },
         # DeepSeek R1 models with MTP speculative decoding
         {
             'patterns': [
@@ -91,6 +98,21 @@ def get_model_yaml_config(model_label: str,
                 }
             }
         },
+        # Deepseek R1 model with chunked prefill
+        {
+            'patterns': [
+                'deepseek_r1_fp8-bench-pytorch-float8-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500',
+                'deepseek_r1_fp8-bench-pytorch-float8-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000',
+                'deepseek_v3_lite_fp8-bench-pytorch-float8-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500',
+                'deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500',
+                'deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500',
+                'deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000',
+            ],
+            'config': {
+                'enable_attention_dp': True,
+                'enable_chunked_prefill': True,
+            }
+        },
         # Deepseek_v3_lite_cases
         {
             'patterns':
@@ -103,13 +125,6 @@ def get_model_yaml_config(model_label: str,
                 }
             }
         },
-        # Deepseek default cases
-        {
-            'patterns': 'deepseek_r1',
-            'config': {
-                'enable_attention_dp': True,
-            }
-        },
         # Llama Nemotron models with attention_dp disabled to prevent hangs
         {
             'patterns': [
diff --git a/tests/integration/test_lists/qa/llm_perf_cluster.yml b/tests/integration/test_lists/qa/llm_perf_cluster.yml
index 8dc56d935a2..f5a895cb476 100644
--- a/tests/integration/test_lists/qa/llm_perf_cluster.yml
+++ b/tests/integration/test_lists/qa/llm_perf_cluster.yml
@@ -16,6 +16,8 @@ llm_perf_cluster:
   - perf/test_perf.py::test_perf[mistral_7b_v0.1-bench-float16-input_output_len:1000,1000-quant:fp8]
   - perf/test_perf.py::test_perf[mistral_7b_v0.1-bench-float16-input_output_len:500,2000-quant:fp8]
   - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-streaming-float4-maxbs:2048-maxnt:8192-input_output_len:256,256-reqs:200]
+  # for chunked prefill cases
+  - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500-reqs:200]
   # Phi-4-multimodal-instruct
   - perf/test_perf.py::test_perf[phi_4_multimodal_instruct-bench-pytorch-bfloat16-input_output_len:500,2000-con:250]
   - perf/test_perf.py::test_perf[phi_4_multimodal_instruct-bench-pytorch-bfloat16-input_output_len:1000,1000-con:250]
@@ -77,6 +79,10 @@ llm_perf_cluster:
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:512-input_output_len:128,128-ep:4-tp:4-gpus:4]
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,1000-reqs:2000-ep:4-tp:4-gpus:4] TIMEOUT(120)
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,2000-reqs:3000-ep:4-tp:4-gpus:4] TIMEOUT(120)
+  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:20000-ep:4-tp:4-gpus:4] TIMEOUT(120)
+  # for chunked prefill cases
+  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500-reqs:200-ep:4-tp:4-gpus:4] TIMEOUT(120)
+  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000-reqs:200-ep:4-tp:4-gpus:4] TIMEOUT(120)
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:2000-ep:4-tp:4-gpus:4] TIMEOUT(120)
   - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:512-ep:4-gpus:4]
   #llama_v3.1_405b_instruct_fp4
@@ -131,6 +137,9 @@ llm_perf_cluster:
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] #min latency test
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:49152-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test
   - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:49152-con:3072-ep:8-tp:8-gpus:8] #max throughput test
+  # for chunked prefill cases
+  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500-reqs:200-ep:8-tp:8-gpus:8] TIMEOUT(120)
+  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000-reqs:200-ep:8-tp:8-gpus:8] TIMEOUT(120)
   #deepseek_r1_0528_fp4
   - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,1000-reqs:20000-ep:8-tp:8-gpus:8] TIMEOUT(120)
   - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,2000-reqs:3000-ep:8-tp:8-gpus:8] TIMEOUT(120)
diff --git a/tests/integration/test_lists/qa/llm_perf_full.yml b/tests/integration/test_lists/qa/llm_perf_full.yml
index 6e52448b678..0403e365800 100644
--- a/tests/integration/test_lists/qa/llm_perf_full.yml
+++ b/tests/integration/test_lists/qa/llm_perf_full.yml
@@ -331,6 +331,9 @@ llm_perf_full:
   - perf/test_perf.py::test_perf[deepseek_r1_fp8-bench-pytorch-float8-maxbs:128-maxnt:1127-input_output_len:1000,2000-reqs:5120-con:1024-ep:8-tp:8-gpus:8] TIMEOUT(80) #max throughput test
   - perf/test_perf.py::test_perf[deepseek_r1_0528_fp8-bench-pytorch-float8-input_output_len:1000,1000-reqs:20000-ep:8-tp:8-gpus:8] TIMEOUT(120)
   - perf/test_perf.py::test_perf[deepseek_r1_0528_fp8-bench-pytorch-float8-input_output_len:1000,2000-reqs:3000-ep:8-tp:8-gpus:8] TIMEOUT(100)
+  # for chunked prefill cases
+  - perf/test_perf.py::test_perf[deepseek_r1_fp8-bench-pytorch-float8-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500-reqs:200-ep:8-tp:8-gpus:8] TIMEOUT(120)
+  - perf/test_perf.py::test_perf[deepseek_r1_fp8-bench-pytorch-float8-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000-reqs:200-ep:8-tp:8-gpus:8] TIMEOUT(120)
   # qwen3_235b_a22b_fp8
   - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp8-bench-pytorch-float8-input_output_len:1000,2000-con:256-ep:8-gpus:8] TIMEOUT(60)
 

From f1b362faac3232fa6711dc73166cae0e5dbbcf59 Mon Sep 17 00:00:00 2001
From: QI JUN <22017000+QiJune@users.noreply.github.com>
Date: Fri, 19 Sep 2025 12:05:11 +0800
Subject: [PATCH 21/76] [None][chore] polish error message in cute_dsl_utils.py
 (#7852)

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
---
 tensorrt_llm/_torch/cute_dsl_utils.py | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/tensorrt_llm/_torch/cute_dsl_utils.py b/tensorrt_llm/_torch/cute_dsl_utils.py
index 8aea882ec01..427c12c68cb 100644
--- a/tensorrt_llm/_torch/cute_dsl_utils.py
+++ b/tensorrt_llm/_torch/cute_dsl_utils.py
@@ -1,5 +1,4 @@
 import platform
-import traceback
 
 from ..logger import logger
 
@@ -12,7 +11,4 @@
         logger.info(f"cutlass dsl is available")
         IS_CUTLASS_DSL_AVAILABLE = True
     except ImportError:
-        traceback.print_exc()
-        print(
-            "cutlass dsl is not installed properly, please try pip install nvidia-cutlass-dsl"
-        )
+        pass

From 6fcc0540f0435a29f48c29c431192f3dd9ccdc0a Mon Sep 17 00:00:00 2001
From: Kyungmin Lee <30465912+lkm2835@users.noreply.github.com>
Date: Fri, 19 Sep 2025 13:54:26 +0900
Subject: [PATCH 22/76] [None][fix] fix load_model_on_cpu on
 qwen/convert_checkpoint.py (#2382)

Signed-off-by: lkm2835 <lkm2835@gmail.com>
Co-authored-by: Kanghwan <861393+karljang@users.noreply.github.com>
---
 .../models/core/qwen/convert_checkpoint.py    | 19 +++++++++++--------
 1 file changed, 11 insertions(+), 8 deletions(-)

diff --git a/examples/models/core/qwen/convert_checkpoint.py b/examples/models/core/qwen/convert_checkpoint.py
index 225b4989dce..647d6365c25 100644
--- a/examples/models/core/qwen/convert_checkpoint.py
+++ b/examples/models/core/qwen/convert_checkpoint.py
@@ -230,7 +230,8 @@ def args_to_build_options(args):
         'use_parallel_embedding': args.use_parallel_embedding,
         'embedding_sharding_dim': args.embedding_sharding_dim,
         'disable_weight_only_quant_plugin':
-        args.disable_weight_only_quant_plugin
+        args.disable_weight_only_quant_plugin,
+        'load_model_on_cpu': args.load_model_on_cpu,
     }
 
 
@@ -259,13 +260,15 @@ def convert_and_save_hf(args):
                           moe_tp_size=args.moe_tp_size,
                           moe_ep_size=args.moe_ep_size,
                           cp_size=args.cp_size)
-        QWenForCausalLM.quantize(args.model_dir,
-                                 args.output_dir,
-                                 dtype=args.dtype,
-                                 mapping=mapping,
-                                 quant_config=quant_config,
-                                 calib_dataset=args.calib_dataset,
-                                 **override_fields)
+        QWenForCausalLM.quantize(
+            args.model_dir,
+            args.output_dir,
+            dtype=args.dtype,
+            mapping=mapping,
+            quant_config=quant_config,
+            device='cpu' if args.load_model_on_cpu else 'cuda',
+            calib_dataset=args.calib_dataset,
+            **override_fields)
     else:
 
         def convert_and_save_rank(args, rank):

From ea079fa530b894a6b60a77391636b7e5a27797c8 Mon Sep 17 00:00:00 2001
From: Emma Qiao <qqiao@nvidia.com>
Date: Fri, 19 Sep 2025 14:16:12 +0800
Subject: [PATCH 23/76] [None][infra] Waive failed tests in post-merge (#7859)

Signed-off-by: qqiao <qqiao@nvidia.com>
---
 tests/integration/test_lists/waives.txt | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index faf0b1af975..dd144a8d70a 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -346,3 +346,5 @@ test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B
 test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-True] SKIP (https://nvbugs/5509024)
 test_e2e.py::test_trtllm_multimodal_benchmark_serving SKIP (https://nvbugs/5523315)
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=4] SKIP (https://nvbugs/5434320)
+examples/test_llama.py::test_llm_llama_1gpu_fp8_kv_cache[llama-v2-7b-hf-bfloat16] SKIP (https://nvbugs/5527940)
+accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5528070)

From 451475e0dc6da84058c8c4db4ab148caf6b86a9b Mon Sep 17 00:00:00 2001
From: dominicshanshan <30051912+dominicshanshan@users.noreply.github.com>
Date: Fri, 19 Sep 2025 14:54:59 +0800
Subject: [PATCH 24/76] [None][ci] Waive llama3 auto dtype test bug in
 https://nvbugs/5527956. (#7853)

Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>
---
 tests/integration/test_lists/waives.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index dd144a8d70a..8997bf7d0ab 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -348,3 +348,4 @@ test_e2e.py::test_trtllm_multimodal_benchmark_serving SKIP (https://nvbugs/55233
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=4] SKIP (https://nvbugs/5434320)
 examples/test_llama.py::test_llm_llama_1gpu_fp8_kv_cache[llama-v2-7b-hf-bfloat16] SKIP (https://nvbugs/5527940)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5528070)
+accuracy/test_llm_api_autodeploy.py::TestLlama3_1_8B::test_auto_dtype SKIP (https://nvbugs/5527956)

From 6b33bcced282c49f068e3c66aa90ac89092b11bb Mon Sep 17 00:00:00 2001
From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
Date: Fri, 19 Sep 2025 16:09:46 +0800
Subject: [PATCH 25/76] [None][test] Add accuracy benchmark in stress test
 (#7561)

Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
---
 .../defs/stress_test/stress_test.py           | 206 +++++++++++++++++-
 .../test_lists/qa/llm_function_stress.txt     |   3 +
 2 files changed, 201 insertions(+), 8 deletions(-)
 create mode 100644 tests/integration/test_lists/qa/llm_function_stress.txt

diff --git a/tests/integration/defs/stress_test/stress_test.py b/tests/integration/defs/stress_test/stress_test.py
index 03456d8d5c5..b2a02a610e7 100644
--- a/tests/integration/defs/stress_test/stress_test.py
+++ b/tests/integration/defs/stress_test/stress_test.py
@@ -15,6 +15,18 @@
 """
 Stress test script for inference of model using TensorRT-LLM with PyTorch/TRT backend.
 This script is used for stress testing inference performance using trtllm-serve and genai-perf.
+
+The script supports three test modes:
+1. "stress-test": Runs performance test followed by stress test
+2. "stress-stage-alone": Runs only stress test with customized parameters
+3. "stress-test-with-accuracy": Runs performance test, stress test, and accuracy tests (GSM8K)
+
+Accuracy testing is performed using lm_eval with GSM8K dataset:
+- Baseline accuracy test: Run before stress test to establish baseline
+- Post-stress accuracy test: Run after stress test to verify accuracy stability
+
+Usage example for accuracy testing:
+    pytest tests/integration/defs/stress_test/stress_test.py::test_run_stress_test[stress-test-with-accuracy]
 """
 import contextlib
 import json
@@ -126,6 +138,14 @@ class StressTestConfig:
     customized_stress_concurrency: int = 128
     customized_stress_request_rate: int = 20
 
+    # Accuracy test parameters
+    enable_accuracy_test: bool = False  # Enable accuracy testing with GSM8K
+    accuracy_test_timeout: int = 1200  # 20 minutes timeout for accuracy tests
+    accuracy_test_concurrency: int = 512  # Concurrency for accuracy tests
+    accuracy_test_max_retries: int = 3  # Max retries for accuracy tests
+    accuracy_test_max_gen_toks: int = 256  # Max generation tokens for accuracy tests
+    accuracy_test_max_length: int = 4096  # Max input length for accuracy tests
+
     @property
     def request_count_stress_test(self) -> int:
         """Calculate request count for stress test"""
@@ -320,8 +340,10 @@ def check_server_health(server_url: str,
         return False, f"Unexpected error during health check: {str(e)}"
 
 
-@pytest.mark.parametrize("test_mode", ["stress-test", "stress-stage-alone"],
-                         ids=lambda x: x)
+@pytest.mark.parametrize(
+    "test_mode",
+    ["stress-test", "stress-stage-alone", "stress-test-with-accuracy"],
+    ids=lambda x: x)
 @pytest.mark.parametrize("backend", ["trt", "pytorch"], ids=lambda x: x)
 @pytest.mark.parametrize("capacity_scheduler_policy",
                          ["GUARANTEED_NO_EVICT", "MAX_UTILIZATION"],
@@ -416,9 +438,14 @@ def stress_test(config,
     elif test_mode == "stress-stage-alone":
         run_performance = False
         run_stress = True
+    elif test_mode == "stress-test-with-accuracy":
+        run_performance = True
+        run_stress = True
     else:
-        pytest.skip(f"Skipping test for unsupported mode: {test_mode}. "
-                    f"Supported modes: stress-test, stress-stage-alone")
+        pytest.skip(
+            f"Skipping test for unsupported mode: {test_mode}. "
+            f"Supported modes: stress-test, stress-stage-alone, stress-test-with-accuracy"
+        )
         return
 
     # Skip if not enough GPU memory
@@ -458,9 +485,9 @@ def stress_test(config,
             pp_size=test_server_config.pp_size,
             ep_size=8,  # DeepSeek-V3 or DeepSeek-R1 specific ep_size
             max_batch_size=
-            161,  # DeepSeek-V3 or DeepSeek-R1 specific max_batch_size
+            2048,  # DeepSeek-V3 or DeepSeek-R1 specific max_batch_size
             max_num_tokens=
-            1160,  # DeepSeek-V3 or DeepSeek-R1 specific max_num_tokens
+            2048,  # DeepSeek-V3 or DeepSeek-R1 specific max_num_tokens
             kv_cache_free_gpu_memory_fraction=
             0.7,  # DeepSeek-V3 or DeepSeek-R1 specific kv_cache fraction
             capacity_scheduler_policy=test_server_config.
@@ -472,8 +499,12 @@ def stress_test(config,
 
     # Create a StressTestConfig with customized time parameters if provided
     if run_stress:
+        # Enable accuracy test for stress-test-with-accuracy mode
+        enable_accuracy = (test_mode == "stress-test-with-accuracy")
+
         stress_config = StressTestConfig(model_config=config,
-                                         server_config=test_server_config)
+                                         server_config=test_server_config,
+                                         enable_accuracy_test=enable_accuracy)
 
         # Override stress_time and stress_timeout if provided
         if stress_time is not None:
@@ -482,7 +513,8 @@ def stress_test(config,
                 server_config=test_server_config,
                 stress_time=stress_time,
                 stress_timeout=stress_timeout
-                if stress_timeout is not None else stress_time * 2)
+                if stress_timeout is not None else stress_time * 2,
+                enable_accuracy_test=enable_accuracy)
     else:
         stress_config = None
 
@@ -632,6 +664,12 @@ def stress_test(config,
             print_info(
                 f"Server is running with model {model_name}. Starting tests...")
 
+            # Run baseline accuracy test first if enabled
+            baseline_accuracy_success = True
+            if stress_config and stress_config.enable_accuracy_test:
+                baseline_accuracy_success, baseline_accuracy_value = run_accuracy_test(
+                    model_path, test_server_config, stress_config, "baseline")
+
             # Run performance test first if enabled
             stage2_output = None  # Initialize stage2_output to None
             if run_performance:
@@ -664,6 +702,52 @@ def stress_test(config,
                              stress_config,
                              None,
                              request_counter=request_counter)
+
+            # Run post-stress accuracy test if enabled
+            post_stress_accuracy_success = True
+            if stress_config and stress_config.enable_accuracy_test:
+                post_stress_accuracy_success, post_stress_accuracy_value = run_accuracy_test(
+                    model_path, test_server_config, stress_config,
+                    "post_stress")
+
+                # Report accuracy test results
+                if baseline_accuracy_success and post_stress_accuracy_success:
+                    print_info("=== ACCURACY TEST SUMMARY ===")
+                    print_info("✓ Baseline accuracy test: PASSED")
+                    print_info("✓ Post-stress accuracy test: PASSED")
+
+                    # Compare accuracy values if both are available
+                    if baseline_accuracy_value is not None and post_stress_accuracy_value is not None:
+                        accuracy_drop = baseline_accuracy_value - post_stress_accuracy_value
+                        accuracy_drop_percentage = (
+                            accuracy_drop / baseline_accuracy_value) * 100
+
+                        print_info(
+                            f"Baseline accuracy: {baseline_accuracy_value:.4f}")
+                        print_info(
+                            f"Post-stress accuracy: {post_stress_accuracy_value:.4f}"
+                        )
+                        print_info(
+                            f"Accuracy drop: {accuracy_drop:.4f} ({accuracy_drop_percentage:.2f}%)"
+                        )
+
+                        # Define threshold for significant accuracy drop (e.g., 5%)
+                        accuracy_drop_threshold = 0.05  # 5%
+                        # Assert that accuracy drop is within acceptable threshold
+                        assert accuracy_drop_percentage <= (
+                            accuracy_drop_threshold * 100
+                        ), f"Accuracy drop {accuracy_drop_percentage:.2f}% exceeds threshold {accuracy_drop_threshold * 100}%"
+                        print_info(
+                            "✓ Model accuracy appears stable under stress conditions"
+                        )
+                else:
+                    print_warning("=== ACCURACY TEST SUMMARY ===")
+                    if not baseline_accuracy_success:
+                        print_warning("✗ Baseline accuracy test: FAILED")
+                    if not post_stress_accuracy_success:
+                        print_warning("✗ Post-stress accuracy test: FAILED")
+                    print_warning(
+                        "Model accuracy may be affected by stress conditions")
     finally:
         # Clean up temp yaml file
         if os.path.exists(extra_llm_options_path):
@@ -984,6 +1068,112 @@ def format_time(seconds: int) -> str:
         return f"{seconds}s"
 
 
+def parse_accuracy_from_lm_eval_output(output_text: str) -> float:
+    """
+    Parse accuracy value from lm_eval output for GSM8K flexible-extract exact_match
+
+    Args:
+        output_text: The output text from lm_eval command
+
+    Returns:
+        float: The accuracy value (0.7582 in the example)
+    """
+    import re
+
+    # Look for the specific pattern: |gsm8k|      3|flexible-extract|     5|exact_match|↑  |0.7559|±  |0.0118|
+    patterns = [
+        r'flexible-extract\|\s+\d+\|exact_match\|\↑\s+\|(\d+\.\d+)',
+    ]
+
+    for pattern in patterns:
+        match = re.search(pattern, output_text)
+        if match:
+            accuracy_value = float(match.group(1))
+            print_info(f"Extracted accuracy value: {accuracy_value}")
+            return accuracy_value
+
+    print_warning("Could not find accuracy value in lm_eval output")
+    print_warning(f"Output text: {output_text}")
+    return None
+
+
+def run_accuracy_test(model_path: str,
+                      server_config: ServerConfig,
+                      stress_config: StressTestConfig,
+                      test_phase: str = "baseline") -> tuple[bool, float]:
+    """
+    Run accuracy test using lm_eval with GSM8K dataset
+
+    Args:
+        model_path: Path of the model being tested
+        server_config: Server configuration containing URL and port
+        stress_config: Stress test configuration containing accuracy test parameters
+        test_phase: Phase of the test ("baseline" or "post_stress")
+
+    Returns:
+        tuple: (Boolean indicating whether the accuracy test completed successfully, accuracy value)
+    """
+    if not stress_config.enable_accuracy_test:
+        print_info(f"Skipping accuracy test for {test_phase} phase (disabled)")
+        return True, None
+
+    print_info(f"=== Running {test_phase.upper()} ACCURACY TEST (GSM8K) ===")
+
+    # Create lm_eval command
+    lm_eval_cmd = [
+        "lm_eval", "--model", "local-completions", "--tasks", "gsm8k",
+        "--model_args",
+        f"model={model_path},base_url={server_config.url}/v1/completions,"
+        f"num_concurrent={stress_config.accuracy_test_concurrency},"
+        f"max_retries={stress_config.accuracy_test_max_retries},"
+        f"tokenized_requests=False,"
+        f"timeout={stress_config.accuracy_test_timeout},"
+        f"max_gen_toks={stress_config.accuracy_test_max_gen_toks},"
+        f"max_length={stress_config.accuracy_test_max_length}",
+        "--trust_remote_code"
+    ]
+
+    test_start_time = time.time()
+    accuracy_value = None
+
+    try:
+        # Run lm_eval process with timeout monitoring
+        print_info(f"Running lm_eval command: {' '.join(lm_eval_cmd)}")
+
+        # Use subprocess.run to capture output directly
+        result = subprocess.run(lm_eval_cmd,
+                                capture_output=True,
+                                text=True,
+                                timeout=stress_config.accuracy_test_timeout)
+
+        # Check if process completed successfully
+        if result.returncode == 0:
+            test_end_time = time.time()
+            duration = int(test_end_time - test_start_time)
+            print_info(
+                f"{test_phase.capitalize()} accuracy test completed successfully in {format_time(duration)}"
+            )
+
+            # Parse accuracy value from output
+            output_text = result.stdout
+            accuracy_value = parse_accuracy_from_lm_eval_output(output_text)
+            return True, accuracy_value
+        else:
+            print_warning(
+                f"lm_eval exited with non-zero code: {result.returncode}")
+            print_warning(f"stderr: {result.stderr}")
+            return False, None
+
+    except subprocess.TimeoutExpired:
+        print_warning(
+            f"Accuracy test timed out after {stress_config.accuracy_test_timeout} seconds"
+        )
+        return False, None
+    except Exception as e:
+        print_warning(f"Error during {test_phase} accuracy test: {str(e)}")
+        return False, None
+
+
 def extract_stress_test_metrics(artifacts_dir="./artifacts",
                                 current_model=None):
     """
diff --git a/tests/integration/test_lists/qa/llm_function_stress.txt b/tests/integration/test_lists/qa/llm_function_stress.txt
new file mode 100644
index 00000000000..a4aac892ad4
--- /dev/null
+++ b/tests/integration/test_lists/qa/llm_function_stress.txt
@@ -0,0 +1,3 @@
+stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_5400s-GUARANTEED_NO_EVICT-pytorch-stress-test-with-accuracy]
+stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_5400s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy]
+stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp8-stress_time_3600s_timeout_5400s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy]

From 0ac51487f47f1da18a50d8b183ef1af8f8f4620b Mon Sep 17 00:00:00 2001
From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
Date: Fri, 19 Sep 2025 16:33:59 +0800
Subject: [PATCH 26/76] [None][chore] remove cli cases for rtx6k (#7833)

Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
---
 tests/integration/test_lists/qa/llm_function_rtx6k.txt | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/tests/integration/test_lists/qa/llm_function_rtx6k.txt b/tests/integration/test_lists/qa/llm_function_rtx6k.txt
index 69f0787908a..9f0746697a2 100644
--- a/tests/integration/test_lists/qa/llm_function_rtx6k.txt
+++ b/tests/integration/test_lists/qa/llm_function_rtx6k.txt
@@ -1,6 +1,3 @@
-accuracy/test_cli_flow.py::TestMixtral8x7B::test_fp8_tp2pp2
-accuracy/test_cli_flow.py::TestMixtral8x7B::test_fp8_tp2pp2_manage_weights
-accuracy/test_cli_flow.py::TestMixtral8x7B::test_nvfp4_prequantized
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False-enable_chunked_prefill=False]
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=0-attention_dp=True-cuda_graph=False-overlap_scheduler=False-torch_compile=False-enable_chunked_prefill=False]
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16[mtp_nextn=0-attention_dp=False-cuda_graph=True-overlap_scheduler=False-torch_compile=False-enable_chunked_prefill=False]

From 0e72e8f7e655f866a744cfed4f2f06b15559d448 Mon Sep 17 00:00:00 2001
From: Gabriel Wu <13583761+lucifer1004@users.noreply.github.com>
Date: Fri, 19 Sep 2025 16:45:35 +0800
Subject: [PATCH 27/76] [None][feat] Support EPLB in Qwen3 MoE (#7443)

Signed-off-by: Gabriel Wu <13583761+lucifer1004@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
---
 tensorrt_llm/_torch/models/modeling_qwen3_moe.py | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/tensorrt_llm/_torch/models/modeling_qwen3_moe.py b/tensorrt_llm/_torch/models/modeling_qwen3_moe.py
index fa9be6afcf8..221478edf8e 100644
--- a/tensorrt_llm/_torch/models/modeling_qwen3_moe.py
+++ b/tensorrt_llm/_torch/models/modeling_qwen3_moe.py
@@ -78,7 +78,7 @@ class Qwen3MoE(nn.Module):
     def __init__(
         self,
         model_config: ModelConfig[Qwen3MoeConfig],
-        aux_stream: torch.cuda.Stream,
+        aux_stream_dict: Dict[AuxStreamType, torch.cuda.Stream],
         layer_idx: Optional[int] = None,
     ):
         super().__init__()
@@ -108,7 +108,7 @@ def __init__(
             routing_method=self.gate.routing_method,
             hidden_size=self.hidden_dim,
             intermediate_size=self.moe_intermediate_size,
-            aux_stream_dict={AuxStreamType.MoeChunkingOverlap: aux_stream},
+            aux_stream_dict=aux_stream_dict,
             dtype=config.torch_dtype,
             reduce_results=False,
             model_config=model_config,
@@ -160,7 +160,8 @@ def forward(
 class Qwen3MoEDecoderLayer(DecoderLayer):
 
     def __init__(self, model_config: ModelConfig[Qwen3MoeConfig],
-                 layer_idx: int, aux_stream: torch.cuda.Stream):
+                 layer_idx: int, aux_stream_dict: Dict[AuxStreamType,
+                                                       torch.cuda.Stream]):
         super().__init__()
         self.model_config = model_config
         config = model_config.pretrained_config
@@ -171,7 +172,7 @@ def __init__(self, model_config: ModelConfig[Qwen3MoeConfig],
         self.mapping = model_config.mapping
         self.enable_attention_dp = self.mapping.enable_attention_dp
 
-        self.mlp = Qwen3MoE(model_config, aux_stream, layer_idx=layer_idx)
+        self.mlp = Qwen3MoE(model_config, aux_stream_dict, layer_idx=layer_idx)
 
         self.input_layernorm = RMSNorm(hidden_size=config.hidden_size,
                                        eps=config.rms_norm_eps,
@@ -302,7 +303,10 @@ class Qwen3MoEModel(DecoderModel):
     def __init__(self, model_config: ModelConfig[Qwen3MoeConfig]):
         super().__init__(model_config)
         config = self.model_config
-        self.aux_stream = torch.cuda.Stream()
+        self.aux_stream_dict = {
+            AuxStreamType.MoeChunkingOverlap: torch.cuda.Stream(),
+            AuxStreamType.MoeBalancer: torch.cuda.Stream(),
+        }
         self.preload_weight_modules = []
         if config.moe_backend == "TRTLLM":
             self.preload_weight_modules = [
@@ -332,7 +336,7 @@ def __init__(self, model_config: ModelConfig[Qwen3MoeConfig]):
             Qwen3MoEDecoderLayer(
                 model_config,
                 layer_idx,
-                self.aux_stream,
+                self.aux_stream_dict,
             ) for layer_idx in range(config.pretrained_config.num_hidden_layers)
         ])
         self.norm = RMSNorm(

From efb763402f17413b2fdbab18191ddcfd2bd18a5b Mon Sep 17 00:00:00 2001
From: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Date: Fri, 19 Sep 2025 17:59:47 +0800
Subject: [PATCH 28/76] [None][chore] Add failed cases into waives.txt (#7841)

Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
---
 .../defs/accuracy/test_llm_api_pytorch.py     | 37 +------------------
 tests/integration/defs/test_e2e.py            |  6 ++-
 tests/integration/test_lists/waives.txt       |  4 ++
 .../apps/_test_trtllm_serve_benchmark.py      | 10 +++--
 4 files changed, 15 insertions(+), 42 deletions(-)

diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index 6cbf6ca4121..d8639e19149 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -2010,42 +2010,7 @@ def test_nvfp4_multi_gpus_chunked_prefill(self, tp_size, pp_size, ep_size,
             assert llm.args.moe_config.backend == moe_backend
             assert llm.args.quant_config.quant_algo == QuantAlgo.NVFP4
 
-    def test_nvfp4_multi_gpus_corner_case(self):
-        """
-        This test is used to test the corner case of the NVFP4 model.
-        When using the same value for max_seq_len and max_num_tokens, there will be no
-        enough kv block for the dummy requests in CUDA graph warmup when creating
-        the py_executor before estimating kv cache. Then CUDA graph capture will be
-        triggered when estimating kv cache. This may cause some errors.
-        More info in https://nvbugs/5485325.
-        """
-        kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.80,
-                                        dtype="fp8",
-                                        enable_block_reuse=False)
-        pytorch_config = dict(disable_overlap_scheduler=False,
-                              cuda_graph_config=CudaGraphConfig(
-                                  enable_padding=True, max_batch_size=1024),
-                              moe_config=MoeConfig(backend="TRTLLM"))
-
-        mtp_config = MTPDecodingConfig(num_nextn_predict_layers=1)
-        with LLM(f"{llm_models_root()}/DeepSeek-R1/DeepSeek-R1-FP4",
-                 tensor_parallel_size=8,
-                 pipeline_parallel_size=1,
-                 moe_expert_parallel_size=8,
-                 kv_cache_config=kv_cache_config,
-                 **pytorch_config,
-                 enable_attention_dp=False,
-                 speculative_config=mtp_config,
-                 max_seq_len=5120,
-                 max_num_tokens=5120) as llm:
-
-            assert llm.args.quant_config.quant_algo == QuantAlgo.NVFP4
-
-            task = MMLU(self.MODEL_NAME)
-            task.evaluate(llm)
-            task = GSM8K(self.MODEL_NAME)
-            task.evaluate(llm)
-
+    @skip_pre_blackwell
     def test_nvfp4_multi_gpus_corner_case(self):
         """
         This test is used to test the corner case of the NVFP4 model.
diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py
index 333a99726c4..b46608166c4 100644
--- a/tests/integration/defs/test_e2e.py
+++ b/tests/integration/defs/test_e2e.py
@@ -1735,8 +1735,10 @@ def test_openai_multinodes_chat_tp8pp2(llm_root, llm_venv):
 
 
 @pytest.mark.skip_less_device_memory(80000)
-@pytest.mark.parametrize(
-    "model_name", ["llama-3.1-model/Meta-Llama-3.1-8B", "gpt_oss/gpt-oss-20b"])
+@pytest.mark.parametrize("model_name", [
+    "llama-3.1-model/Meta-Llama-3.1-8B",
+    pytest.param("gpt_oss/gpt-oss-20b", marks=skip_pre_hopper)
+])
 def test_trtllm_benchmark_serving(llm_venv, model_name):
     test_root = unittest_path() / "llmapi" / "apps"
     llm_venv.run_cmd([
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 8997bf7d0ab..1ba61648574 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -349,3 +349,7 @@ accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen
 examples/test_llama.py::test_llm_llama_1gpu_fp8_kv_cache[llama-v2-7b-hf-bfloat16] SKIP (https://nvbugs/5527940)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5528070)
 accuracy/test_llm_api_autodeploy.py::TestLlama3_1_8B::test_auto_dtype SKIP (https://nvbugs/5527956)
+test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-mixture_text_image-True] SKIP (https://nvbugs/5509024)
+accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput] SKIP (https://nvbugs/5481198)
+accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[latency] SKIP (https://nvbugs/5481198)
+accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[throughput] SKIP (https://nvbugs/5481198)
diff --git a/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py b/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py
index b0d32fd76bb..908757b7c90 100644
--- a/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py
+++ b/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py
@@ -3,7 +3,7 @@
 import sys
 
 import pytest
-from utils.util import skip_gpu_memory_less_than_80gb
+from utils.util import skip_gpu_memory_less_than_80gb, skip_pre_hopper
 
 from .openai_server import RemoteOpenAIServer
 
@@ -45,9 +45,11 @@ def dataset_path(dataset_name: str):
 
 
 @skip_gpu_memory_less_than_80gb
-@pytest.mark.parametrize(
-    "model_name", ["llama-3.1-model/Meta-Llama-3.1-8B", "gpt_oss/gpt-oss-20b"],
-    indirect=True)
+@pytest.mark.parametrize("model_name", [
+    "llama-3.1-model/Meta-Llama-3.1-8B",
+    pytest.param("gpt_oss/gpt-oss-20b", marks=skip_pre_hopper)
+],
+                         indirect=True)
 def test_trtllm_serve_benchmark(server: RemoteOpenAIServer, benchmark_root: str,
                                 model_path: str):
     model_name = model_path.split("/")[-1]

From 18095a7cb8888d25211be17dc41d598e05c52048 Mon Sep 17 00:00:00 2001
From: Liao Lanyu <108499334+lancelly@users.noreply.github.com>
Date: Fri, 19 Sep 2025 18:13:33 +0800
Subject: [PATCH 29/76] [https://nvbugs/5503440][fix] Fix potential hang due to
 wrong type of ZMQ socket and protocol for worker_init_status_queue (#7646)

Signed-off-by: Lanyu Liao <lancelly@users.noreply.github.com>
---
 tensorrt_llm/executor/ipc.py                  | 178 ++++++---
 tensorrt_llm/executor/proxy.py                |   7 +-
 tensorrt_llm/executor/worker.py               |  14 +-
 .../_torch/executor/test_router_dealer_ipc.py | 373 ++++++++++++++++++
 4 files changed, 515 insertions(+), 57 deletions(-)
 create mode 100644 tests/unittest/_torch/executor/test_router_dealer_ipc.py

diff --git a/tensorrt_llm/executor/ipc.py b/tensorrt_llm/executor/ipc.py
index 5d45ebe4c12..327dbf4f6f5 100644
--- a/tensorrt_llm/executor/ipc.py
+++ b/tensorrt_llm/executor/ipc.py
@@ -24,6 +24,8 @@ class ZeroMqQueue:
         zmq.PAIR: "PAIR",
         zmq.PULL: "PULL",
         zmq.PUSH: "PUSH",
+        zmq.ROUTER: "ROUTER",
+        zmq.DEALER: "DEALER",
     }
 
     def __init__(self,
@@ -56,6 +58,9 @@ def __init__(self,
         self.name = name
         self.socket = self.context.socket(socket_type)
 
+        # For ROUTER sockets, track the last identity to enable replies. For now we assume there is only one client in our case.
+        self._last_identity = None
+
         self.hmac_key = address[1] if address is not None else None
         self.use_hmac_encryption = use_hmac_encryption
 
@@ -68,8 +73,8 @@ def __init__(self,
                 "Server and client should not receive HMAC key when encryption is disabled"
             )
 
-        if (socket_type == zmq.PAIR
-                and self.is_server) or socket_type == zmq.PULL:
+        if (socket_type == zmq.PAIR and self.is_server
+            ) or socket_type == zmq.PULL or socket_type == zmq.ROUTER:
             self.socket.bind(
                 self.address_endpoint
             )  # Binds to the address and occupy a port immediately
@@ -116,13 +121,12 @@ def poll(self, timeout: int) -> bool:
     def put(self, obj: Any):
         self.setup_lazily()
         with nvtx_range_debug("send", color="blue", category="IPC"):
-            if self.use_hmac_encryption:
-                # Send pickled data with HMAC appended
-                data = pickle.dumps(obj)  # nosec B301
-                signed_data = self._sign_data(data)
-                self.socket.send(signed_data)
+            if self.use_hmac_encryption or self.socket_type == zmq.ROUTER:
+                # Need manual serialization for encryption or ROUTER multipart
+                data = self._prepare_data(obj)
+                self._send_data(data)
             else:
-                # Send data without HMAC
+                # Standard socket without encryption - use pyobj directly
                 self.socket.send_pyobj(obj)
 
     def put_noblock(self,
@@ -144,11 +148,10 @@ def put_noblock(self,
 
         self.setup_lazily()
         with nvtx_range_debug("send", color="blue", category="IPC"):
-            data = pickle.dumps(obj)  # nosec B301
-            if self.use_hmac_encryption:
-                data = self._sign_data(data)
+
+            data = self._prepare_data(obj)
             try:
-                self.socket.send(data, flags=zmq.NOBLOCK)
+                self._send_data(data, flags=zmq.NOBLOCK)
             except zmq.Again:
                 if retry > 0:
                     time.sleep(wait_time)
@@ -159,13 +162,12 @@ def put_noblock(self,
     async def put_async(self, obj: Any):
         self.setup_lazily()
         try:
-            if self.use_hmac_encryption:
-                # Send pickled data with HMAC appended
-                data = pickle.dumps(obj)  # nosec B301
-                signed_data = self._sign_data(data)
-                await self.socket.send(signed_data)
+            if self.use_hmac_encryption or self.socket_type == zmq.ROUTER:
+                # Need manual serialization for encryption or ROUTER multipart
+                data = self._prepare_data(obj)
+                await self._send_data_async(data)
             else:
-                # Send data without HMAC
+                # Standard socket without encryption
                 await self.socket.send_pyobj(obj)
         except TypeError as e:
             logger.error(f"Cannot pickle {obj}")
@@ -179,45 +181,11 @@ async def put_async(self, obj: Any):
 
     def get(self) -> Any:
         self.setup_lazily()
-
-        if self.use_hmac_encryption:
-            # Receive signed data with HMAC
-            signed_data = self.socket.recv()
-
-            # Split data and HMAC
-            data = signed_data[:-32]
-            actual_hmac = signed_data[-32:]
-
-            # Verify HMAC
-            if not self._verify_hmac(data, actual_hmac):
-                raise RuntimeError("HMAC verification failed")
-
-            obj = pickle.loads(data)  # nosec B301
-        else:
-            # Receive data without HMAC
-            obj = self.socket.recv_pyobj()
-        return obj
+        return self._recv_data()
 
     async def get_async(self) -> Any:
         self.setup_lazily()
-
-        if self.use_hmac_encryption:
-            # Receive signed data with HMAC
-            signed_data = await self.socket.recv()
-
-            # Split data and HMAC
-            data = signed_data[:-32]
-            actual_hmac = signed_data[-32:]
-
-            # Verify HMAC
-            if not self._verify_hmac(data, actual_hmac):
-                raise RuntimeError("HMAC verification failed")
-
-            obj = pickle.loads(data)  # nosec B301
-        else:
-            # Receive data without HMAC
-            obj = await self.socket.recv_pyobj()
-        return obj
+        return await self._recv_data_async()
 
     def close(self):
         if self.socket:
@@ -241,6 +209,108 @@ def _sign_data(self, data_before_encoding: bytes) -> bytes:
     def __del__(self):
         self.close()
 
+    def _prepare_data(self, obj: Any) -> bytes:
+        """Serialize object and optionally add HMAC signature."""
+        data = pickle.dumps(obj)  # nosec B301
+        if self.use_hmac_encryption:
+            return self._sign_data(data)
+        return data
+
+    def _parse_data(self, data: bytes) -> Any:
+        """Parse data and optionally verify HMAC signature."""
+        if self.use_hmac_encryption:
+            # Split data and HMAC
+            message_data = data[:-32]
+            actual_hmac = data[-32:]
+
+            # Verify HMAC
+            if not self._verify_hmac(message_data, actual_hmac):
+                raise RuntimeError("HMAC verification failed")
+
+            return pickle.loads(message_data)  # nosec B301
+        else:
+            return pickle.loads(data)  # nosec B301
+
+    def _send_data(self, data: bytes, flags: int = 0):
+        """Send data using appropriate API based on socket type."""
+        if self.socket_type == zmq.ROUTER:
+            if self._last_identity is None:
+                raise ValueError("ROUTER socket requires identity")
+            self.socket.send_multipart([self._last_identity, data], flags=flags)
+        else:
+            self.socket.send(data, flags=flags)
+
+    async def _send_data_async(self, data: bytes):
+        """Async version of _send_data."""
+        if self.socket_type == zmq.ROUTER:
+            if self._last_identity is None:
+                raise ValueError("ROUTER socket requires identity")
+            await self.socket.send_multipart([self._last_identity, data])
+        else:
+            await self.socket.send(data)
+
+    def _recv_data(self) -> Any:
+        """Receive data using appropriate API based on socket type."""
+        if self.socket_type == zmq.ROUTER:
+            identity, data = self.socket.recv_multipart()
+            self._last_identity = identity  # Store for replies
+            obj = self._parse_data(data)
+            return obj
+        else:
+            if self.use_hmac_encryption:
+                data = self.socket.recv()
+                obj = self._parse_data(data)
+            else:
+                obj = self.socket.recv_pyobj()
+            return obj
+
+    async def _recv_data_async(self) -> Any:
+        """Async version of _recv_data."""
+        if self.socket_type == zmq.ROUTER:
+            identity, data = await self.socket.recv_multipart()
+            self._last_identity = identity  # Store for replies
+            return self._parse_data(data)
+        else:
+            if self.use_hmac_encryption:
+                data = await self.socket.recv()
+                return self._parse_data(data)
+            else:
+                return await self.socket.recv_pyobj()
+
+    def notify_with_retry(self, message, max_retries=5, timeout=1):
+        """
+        Notify with automatic retry on failure (for DEALER socket pattern).
+
+        Args:
+            message: Message to send
+            max_retries: Maximum retry attempts (default: 5)
+            timeout: Timeout in seconds for each attempt (default: 1)
+
+        Returns:
+            bool: True if acknowledgment received, False if failed after all retries
+        """
+        if self.socket_type != zmq.DEALER:
+            raise ValueError(
+                "notify_with_retry is only supported for DEALER socket for now")
+
+        retry_count = 0
+
+        while retry_count < max_retries:
+            try:
+                self.put(message)
+                # Wait for ACK with timeout
+                if self.poll(timeout):
+                    self.get()
+                    return True
+                else:
+                    retry_count += 1
+
+            except Exception as e:
+                logger.error(f"Failed to notify with retry: {e}")
+                retry_count += 1
+
+        return False
+
 
 IpcQueue = ZeroMqQueue
 
diff --git a/tensorrt_llm/executor/proxy.py b/tensorrt_llm/executor/proxy.py
index 00c8562ff5c..b8ca34620ba 100644
--- a/tensorrt_llm/executor/proxy.py
+++ b/tensorrt_llm/executor/proxy.py
@@ -120,7 +120,9 @@ def _setup_queues(self) -> WorkerCommIpcAddrs:
         self.request_queue = IpcQueue(is_server=True,
                                       name="proxy_request_queue")
         self.worker_init_status_queue = IpcQueue(
-            is_server=True, name="worker_init_status_queue")
+            is_server=True,
+            socket_type=zmq.ROUTER,
+            name="worker_init_status_queue")
         # TODO[chunweiy]: Unify IpcQueue and FusedIpcQueue
         # Use PULL mode when enable_postprocess_parallel as there are
         # multiple senders from multiple processes.
@@ -324,6 +326,9 @@ def mpi_done_callback(future: concurrent.futures.Future):
         while True:
             if self.worker_init_status_queue.poll(1):
                 ready_signal, error_trace = self.worker_init_status_queue.get()
+                # Send ACK to the worker
+                self.worker_init_status_queue.put("ACK")
+                logger.info("get signal from executor worker")
                 break
             if any(fut.done() for fut in self.mpi_futures):
                 logger.error("Executor worker died during initialization.")
diff --git a/tensorrt_llm/executor/worker.py b/tensorrt_llm/executor/worker.py
index 86c2bf6e7b9..5dbbf19f24c 100644
--- a/tensorrt_llm/executor/worker.py
+++ b/tensorrt_llm/executor/worker.py
@@ -11,6 +11,7 @@
 from typing import Callable, Dict, List, Optional, Tuple, Union
 
 import torch
+import zmq
 
 from tensorrt_llm.logger import logger
 
@@ -776,6 +777,7 @@ def worker_main(
         worker_init_status_queue = IpcQueue(
             worker_queues.worker_init_status_queue_addr,
             is_server=False,
+            socket_type=zmq.DEALER,
             name="worker_init_status_queue")
         mp_stats_queue = FusedIpcQueue(worker_queues.stats_queue_addr,
                                        is_server=False,
@@ -869,7 +871,10 @@ def notify_proxy_threads_to_quit():
         logger.error(traceback.format_exc())
         print_colored_debug(f"error: {traceback.format_exc()}", "red")
         if is_leader:
-            worker_init_status_queue.put((e, traceback.format_exc()))
+            # Send error message with confirmation
+            error_msg = (e, traceback.format_exc())
+            if not worker_init_status_queue.notify_with_retry(error_msg):
+                logger.error("Failed to deliver error message to proxy")
         return
 
     with worker:
@@ -887,7 +892,12 @@ def notify_proxy_threads_to_quit():
                                                    mp_stats_queue)
                 worker._set_iteration_result_queue(worker.kv_events_queues,
                                                    kv_cache_events_queue)
-                worker_init_status_queue.put((ready_signal, None))
+                # Send ready signal with confirmation
+                ready_msg = (ready_signal, None)
+                if not worker_init_status_queue.notify_with_retry(ready_msg):
+                    logger.warning(
+                        "Failed to deliver ready signal to proxy, continuing anyway"
+                    )
                 while (req := request_queue.get()) is not None:
                     if isinstance(req, CancellingRequest):
                         worker.abort_request(req.id)
diff --git a/tests/unittest/_torch/executor/test_router_dealer_ipc.py b/tests/unittest/_torch/executor/test_router_dealer_ipc.py
new file mode 100644
index 00000000000..3c96f1d55c3
--- /dev/null
+++ b/tests/unittest/_torch/executor/test_router_dealer_ipc.py
@@ -0,0 +1,373 @@
+import multiprocessing
+import pickle
+import time
+from contextlib import contextmanager
+
+import pytest
+import zmq
+
+from tensorrt_llm.executor.ipc import ZeroMqQueue
+
+
+@contextmanager
+def router_dealer_pair(use_hmac_encryption=False,
+                       server_name="test_router",
+                       client_name="test_dealer"):
+    """Context manager to create and manage a ROUTER-DEALER queue pair."""
+    server_queue = ZeroMqQueue(socket_type=zmq.ROUTER,
+                               is_server=True,
+                               name=server_name,
+                               use_hmac_encryption=use_hmac_encryption)
+
+    client_queue = ZeroMqQueue(address=server_queue.address,
+                               socket_type=zmq.DEALER,
+                               is_server=False,
+                               name=client_name,
+                               use_hmac_encryption=use_hmac_encryption)
+
+    try:
+        yield server_queue, client_queue
+    finally:
+        server_queue.close()
+        client_queue.close()
+
+
+def basic_communication_helper(server_queue, client_queue, test_message,
+                               expected_reply):
+    """Helper function to test basic bidirectional communication."""
+    # Send message from client to server
+    client_queue.put(test_message)
+
+    # Server should receive the message
+    assert server_queue.poll(2), "Server should receive message"
+    received_message = server_queue.get()
+    assert received_message == test_message
+
+    # Send reply from server to client
+    server_queue.put(expected_reply)
+
+    # Client should receive the reply
+    assert client_queue.poll(2), "Client should receive reply"
+    received_reply = client_queue.get()
+    assert received_reply == expected_reply
+
+    return received_message, received_reply
+
+
+@contextmanager
+def multiprocess_runner():
+    """Context manager to handle multiprocess execution and cleanup."""
+    processes = []
+    queues = []
+
+    def add_process(target, args, daemon=True):
+        proc = multiprocessing.Process(target=target, args=args, daemon=daemon)
+        processes.append(proc)
+        return proc
+
+    def add_queue():
+        queue = multiprocessing.Queue()
+        queues.append(queue)
+        return queue
+
+    try:
+        yield add_process, add_queue
+
+        # Start all processes
+        for proc in processes:
+            proc.start()
+
+        # Wait for all processes to complete
+        for proc in processes:
+            proc.join(timeout=10)
+
+        # Check if any process is still alive and terminate if needed
+        for proc in processes:
+            if proc.is_alive():
+                proc.terminate()
+                proc.join(timeout=2)
+
+        # Verify all processes finished successfully
+        for i, proc in enumerate(processes):
+            assert not proc.is_alive(), f"Process {i} did not finish in time"
+            if proc.exitcode != 0:
+                pytest.fail(
+                    f"Process {i} failed with exit code: {proc.exitcode}")
+
+    except Exception as e:
+        # Emergency cleanup
+        for proc in processes:
+            if proc.is_alive():
+                proc.terminate()
+                proc.join(timeout=1)
+        raise e
+
+
+def collect_process_results(result_queues, timeout=2):
+    """Collect results from multiple process result queues."""
+    results = []
+    for queue in result_queues:
+        try:
+            result = queue.get(timeout=timeout)
+            results.append(result)
+        except Exception as e:
+            results.append({"error": f"Failed to get result: {e}"})
+    return results
+
+
+def verify_worker_proxy_results(worker_result,
+                                proxy_result,
+                                expected_signal=b"READY"):
+    """
+    Universal verification function for worker-proxy communication results.
+    Works identically for both encrypted and non-encrypted communication.
+
+    Args:
+        worker_result: Worker process result dictionary
+        proxy_result: Proxy process result dictionary
+        expected_signal: Expected signal in the message
+    """
+    # Basic result verification
+    assert worker_result[
+        "error"] is None, f"Worker error: {worker_result['error']}"
+    assert worker_result["success"], "Worker should have succeeded"
+    assert proxy_result[
+        "error"] is None, f"Proxy error: {proxy_result['error']}"
+    assert proxy_result[
+        "message"] is not None, "Proxy should have received message"
+
+    # Verify message content - same format regardless of encryption
+    ready_signal, error_trace = proxy_result["message"]
+    assert ready_signal == expected_signal
+    assert error_trace is None
+
+
+def run_worker_proxy_multiprocess_test(use_hmac_encryption=False,
+                                       ready_signal=b"READY"):
+    """
+    Generic multiprocess test for worker-proxy communication.
+
+    Args:
+        use_hmac_encryption: Whether to use HMAC encryption
+        ready_signal: Signal to send from worker to proxy
+    """
+
+    def proxy_process(address_q, result_q):
+        """Generic proxy process."""
+        try:
+            proxy_queue = ZeroMqQueue(socket_type=zmq.ROUTER,
+                                      is_server=True,
+                                      name="proxy_multiproc",
+                                      use_hmac_encryption=use_hmac_encryption)
+
+            address_q.put(proxy_queue.address)
+
+            try:
+                if proxy_queue.poll(5):
+                    message = proxy_queue.get()
+                    result_q.put({"message": message, "error": None})
+                    proxy_queue.put("ACK")
+                else:
+                    result_q.put({
+                        "message": None,
+                        "error": "Timeout waiting for worker message"
+                    })
+            finally:
+                proxy_queue.close()
+        except Exception as e:
+            result_q.put({"message": None, "error": str(e)})
+
+    def worker_process(address_q, result_q):
+        """Generic worker process."""
+        try:
+            proxy_addr = address_q.get(timeout=5)
+            worker_queue = ZeroMqQueue(socket_type=zmq.DEALER,
+                                       is_server=False,
+                                       address=proxy_addr,
+                                       name="worker_multiproc",
+                                       use_hmac_encryption=use_hmac_encryption)
+
+            try:
+                time.sleep(0.1)  # Simulate initialization time
+                ready_message = (ready_signal, None)
+                worker_queue.put(ready_message)
+
+                if worker_queue.poll(3):
+                    ack = worker_queue.get()
+                    success = ack == "ACK"
+                    result_q.put({
+                        "success": success,
+                        "error": None if success else f"Invalid ACK: {ack}",
+                        "ack": ack if success else None
+                    })
+                else:
+                    result_q.put({
+                        "success": False,
+                        "error": "Timeout waiting for ACK"
+                    })
+            finally:
+                worker_queue.close()
+        except Exception as e:
+            result_q.put({"success": False, "error": str(e)})
+
+    # Run the multiprocess test
+    with multiprocess_runner() as (add_process, add_queue):
+        address_queue = add_queue()
+        proxy_result_queue = add_queue()
+        worker_result_queue = add_queue()
+
+        add_process(proxy_process, (address_queue, proxy_result_queue))
+        add_process(worker_process, (address_queue, worker_result_queue))
+
+    # Collect and verify results
+    worker_result, proxy_result = collect_process_results(
+        [worker_result_queue, proxy_result_queue])
+    verify_worker_proxy_results(worker_result,
+                                proxy_result,
+                                expected_signal=ready_signal)
+
+    return worker_result, proxy_result
+
+
+class TestRouterDealerIPC:
+    """Test suite for ROUTER/DEALER socket communication patterns."""
+
+    @pytest.fixture
+    def zmq_context(self):
+        """Create a ZMQ context for testing."""
+        context = zmq.Context()
+        yield context
+        context.term()
+
+    @pytest.fixture
+    def router_socket(self, zmq_context):
+        """Create a ROUTER socket for testing."""
+        socket = zmq_context.socket(zmq.ROUTER)
+        socket.bind("tcp://127.0.0.1:*")
+        endpoint = socket.getsockopt(zmq.LAST_ENDPOINT).decode()
+        yield socket, endpoint
+        socket.close()
+
+    @pytest.fixture
+    def dealer_socket(self, zmq_context):
+        """Create a DEALER socket for testing."""
+        socket = zmq_context.socket(zmq.DEALER)
+        yield socket
+        socket.close()
+
+    def test_basic_router_dealer_communication(self, router_socket,
+                                               dealer_socket):
+        """Test basic ROUTER-DEALER communication with multipart messages."""
+        router, endpoint = router_socket
+        dealer = dealer_socket
+
+        # Connect dealer to router
+        dealer.connect(endpoint)
+        time.sleep(0.1)  # Allow connection to establish
+
+        # Send message from dealer to router
+        test_message = b"Hello Router"
+        dealer.send(test_message)
+
+        # Receive multipart message at router (identity + message)
+        identity, message = router.recv_multipart()
+        assert message == test_message
+        assert len(identity) > 0  # Identity should be present
+
+        # Send reply from router to dealer
+        reply_message = b"Hello Dealer"
+        router.send_multipart([identity, reply_message])
+
+        # Receive reply at dealer
+        received_reply = dealer.recv()
+        assert received_reply == reply_message
+
+    def test_multipart_message_handling(self, router_socket, dealer_socket):
+        """Test multipart message handling with multiple frames."""
+        router, endpoint = router_socket
+        dealer = dealer_socket
+
+        dealer.connect(endpoint)
+        time.sleep(0.1)
+
+        # Send multipart message from dealer
+        message_parts = [b"frame1", b"frame2", b"frame3"]
+        dealer.send_multipart(message_parts)
+
+        # Receive at router (identity + all message frames)
+        frames = router.recv_multipart()
+        identity = frames[0]
+        received_parts = frames[1:]
+
+        assert received_parts == message_parts
+        assert len(identity) > 0
+
+        # Send multipart reply from router
+        reply_parts = [b"reply1", b"reply2"]
+        router.send_multipart([identity] + reply_parts)
+
+        # Receive multipart reply at dealer
+        received_reply = dealer.recv_multipart()
+        assert received_reply == reply_parts
+
+    def test_pickle_message_serialization(self, router_socket, dealer_socket):
+        """Test sending pickled Python objects through ROUTER-DEALER."""
+        router, endpoint = router_socket
+        dealer = dealer_socket
+
+        dealer.connect(endpoint)
+        time.sleep(0.1)
+
+        # Send pickled object from dealer
+        test_obj = {"signal": "READY", "data": [1, 2, 3], "error": None}
+        pickled_data = pickle.dumps(test_obj)
+        dealer.send(pickled_data)
+
+        # Receive at router and unpickle
+        identity, message = router.recv_multipart()
+        received_obj = pickle.loads(message)
+        assert received_obj == test_obj
+
+        # Send pickled reply from router
+        reply_obj = {"status": "ACK", "timestamp": 1234567890}
+        reply_data = pickle.dumps(reply_obj)
+        router.send_multipart([identity, reply_data])
+
+        # Receive and unpickle reply at dealer
+        reply_raw = dealer.recv()
+        received_reply = pickle.loads(reply_raw)
+        assert received_reply == reply_obj
+
+    @pytest.mark.parametrize("use_hmac", [False, True])
+    def test_router_dealer_communication(self, use_hmac):
+        """Test ROUTER-DEALER communication with and without HMAC encryption."""
+        # Same message content regardless of encryption
+        test_message = ("READY", "initialization_complete")
+        reply_message = "ACK"
+
+        with router_dealer_pair(use_hmac_encryption=use_hmac) as (server_queue,
+                                                                  client_queue):
+            basic_communication_helper(server_queue, client_queue, test_message,
+                                       reply_message)
+
+    @pytest.mark.parametrize("use_hmac", [False, True])
+    def test_router_dealer_basic(self, use_hmac):
+        """Test router_dealer with and without HMAC encryption."""
+        # Same message content regardless of encryption
+        ready_message = (b"READY", None)
+        ack_message = "ACK"
+
+        with router_dealer_pair(use_hmac_encryption=use_hmac) as (proxy_queue,
+                                                                  worker_queue):
+            received_message, received_ack = basic_communication_helper(
+                proxy_queue, worker_queue, ready_message, ack_message)
+
+            # Encryption is transparent - same verification for both
+            assert received_ack == "ACK"
+
+    @pytest.mark.parametrize("use_hmac", [False, True])
+    def test_router_dealer_multiprocess(self, use_hmac):
+        """Test router_dealer using separate processes, with and without HMAC encryption."""
+        # Same signal regardless of encryption
+        run_worker_proxy_multiprocess_test(use_hmac_encryption=use_hmac,
+                                           ready_signal=b"READY")

From c8cc16d38d28b9e83e752dd80614879291fdc48e Mon Sep 17 00:00:00 2001
From: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Date: Fri, 19 Sep 2025 18:38:12 +0800
Subject: [PATCH 30/76] [None][doc] Tech blog: Combining Guided Decoding and
 Speculative Decoding: Making CPU and GPU Cooperate Seamlessly (#7864)

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
---
 README.md                                     |   3 +
 ..._constrained_decoding_pipeline_overlap.png | Bin 0 -> 190718 bytes
 ...gpu_synchronization_for_multiple_steps.png | Bin 0 -> 61361 bytes
 ...on_for_multiple_steps_by_cuda_callback.png | Bin 0 -> 102294 bytes
 .../tech_blog12_one_model_vs_two_model.png    | Bin 0 -> 110824 bytes
 ...reto_curve_json_mode_eval_llama_3.1_8b.png | Bin 0 -> 229019 bytes
 ...eto_curve_json_mode_eval_llama_3.3_70b.png | Bin 0 -> 249322 bytes
 ...o_curve_json_schema_bench_llama_3.1_8b.png | Bin 0 -> 237216 bytes
 ..._curve_json_schema_bench_llama_3.3_70b.png | Bin 0 -> 242015 bytes
 ...uided_Decoding_and_Speculative_Decoding.md | 317 ++++++++++++++++++
 10 files changed, 320 insertions(+)
 create mode 100644 docs/source/blogs/media/tech_blog12_constrained_decoding_pipeline_overlap.png
 create mode 100644 docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps.png
 create mode 100644 docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps_by_cuda_callback.png
 create mode 100644 docs/source/blogs/media/tech_blog12_one_model_vs_two_model.png
 create mode 100644 docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.1_8b.png
 create mode 100644 docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.3_70b.png
 create mode 100644 docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.1_8b.png
 create mode 100644 docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.3_70b.png
 create mode 100644 docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md

diff --git a/README.md b/README.md
index d141529791f..747fe0278df 100644
--- a/README.md
+++ b/README.md
@@ -18,6 +18,9 @@ TensorRT-LLM
 <div align="left">
 
 ## Tech Blogs
+* [09/19] Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly
+✨ [➡️ link](./docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md)
+
 * [08/29] ADP Balance Strategy
 ✨ [➡️ link](./docs/source/blogs/tech_blog/blog10_ADP_Balance_Strategy.md)
 
diff --git a/docs/source/blogs/media/tech_blog12_constrained_decoding_pipeline_overlap.png b/docs/source/blogs/media/tech_blog12_constrained_decoding_pipeline_overlap.png
new file mode 100644
index 0000000000000000000000000000000000000000..867a6dc590a823fdb149490c27de203bf48c6377
GIT binary patch
literal 190718
zcmeFYX*gSJ+c)0s?$)loTYI-ftA<XhC~62r&}vcCEMnGD^HgGru@hQ~);z{MB}ffH
zkmzJCsUa~Ztyv;MB4)`Od*AnS-yi<R|I_>FJ)ZT&aXE6WwXSnMf9G$#F*ejW#Vx>n
z<j9dzx)1J~9y!8=J96Zg;@?hi{*!XnaOB95XGe7J-!%`hUzz3#;SD5i`X#3j?`hI7
zFP~ld<;4c^uTpqL!BDBhi{DI3u3otTYS}PO{`1nc%W5TD$4hkI?5VfnR(Go?n;25o
zS-l6p+&}hfGHtPCRbK`&kPEr~C^9RIC9m}>=V|}C?py|6qeT6C#ra$Cp%BRRpY^%W
z)W!d-o@pl01^=@&UNV6l`_GbFtrzm2)ty2e=;{9~Z*1Ja9sSQTT6kXhKdXZ8#sB+I
zj_&_gynoxop&`w+vRPa0yL%*dP5b`5jPe39>HxtyphdYx2>i!zfC{OL-NEhq^mxPE
z+l9Q67Ek(I^CQZnY#Nt((<H6(5B=(27tg7AW%{%TYmF;GNYz4ESa^J9e!jHKAcwrY
zKKuXiOIj2=EaAMYrdHg!9=`aFB9%b$ja#>FQHKA0!y`w26cz$?u>Wnk??^Xr?`i*S
z>2pe)v#9>JW9%f*1$Pqv%a86v7XQC`n^p&?kEbWX0|0kt)G&8{M&ZtCK6u_sV<*={
zu@@bz*iFA3IkNgwgMHA%+FB$z?`7%1Sh?-2V(i|}EtN3lmP!;gspaW`(Q);Rp{OA?
zi$qF*uC-gSD~=smyT82^#i|sE+Pyr9^QLbs46$2FAfr*Pd96PE_ExT`FES-HSS9(9
zEFFTz%#n9j4~=RsV^LAUuJYA&=`ei<9jWWD-u;r&Z=xSSZ#}k4(O@MrqvAPw6=tz;
z4(I$X-<rgM=mD-~bEZ<$5Zm9Ible9w-J~X=)_uXE=eEP4m$Yh0EW`HwycF@HM~uqy
z*(_HfJz_4^RS6nezxg#(YFx-GuT{<kndv33clTS&RoB$ebsj7B>tlBk4-I7%44WLA
zs0dN^J(V+U07-1S_uJ*;*YmgA5q9OHOKjF=c@^7+6Ro!%!2*JAK_QL#h`Hr~l`q8#
ztMM3tdWErW-2^*6$7>BA7Y_h`sR%%{qIRM|#z&rs4d+Mhyd=c*_ifha05Ms$p6Q)Y
zksmYBhEK9FbvW_kQuT`WCFPjf|B=j8>f$|()uJSxq)UfF8Q0PFaGmlvxX%gVcWScc
z(GEjpUK-$@;XJEY;@}u)Pa#zIL1FKR%xB*7kSvZhuYHy4W60do==tY~tp0}yHqeim
zT81t;2HgHGHSwmm=arw?7I92H%ou84^dgC9b?ZSs7w+1tcjYSaFRxqS=zu7z!|d~8
zw9gubQwN&npGd@Q%4Y!8c2>T|W<x?Y?B;ixoeQ&BpoWF;h?bAe6WQI9`6-7_FX3#-
z=~DQXKW!BSODPv)Y{?96r*Q=$fFkt@3X^T7f6@nIEDda-adg3tzM9a)@T~%Ro9+CN
zbweb!NILqAX17^h#2W|C_1d0JncS=5oNTpysxE!e#Scr_*!9wY^bDu0#ecFERA2@{
z)m_|QtM5x#?|nu}l2?q5OFMAce-D%VeCYW`(XD-q_tySib)T_3y_<|&pxQW;TyZ_>
zucxg*_8Owwi=lV-f$=`uZMo)Lf{m~q^z;w#VFWl73s%pndZNYDHS*!rL$Mrn-Sk*q
zcPD`S57Y2|s8t_B>+adWYk}a#eDvJ1E;-?el-lOqGCI(_p3p_UKST>;1+%4}j-L%;
zZc5zXgq@Em(h#VRaGzz+OoXVtMjmxh85%mnf3Z>=kwlcnxmG6)C?e0j`f9fwZ?PAF
zSXVN#E&+0_c^bp6l1yM{HM#W<&(wXfm+^wX7xMQF<LPZbqB$}be*1SI%l*^TQuEMC
zh{iDfHe;9>rzU{erY;_r;k@(Oqr(85y7=nd=QD>vkRJ2*=G;S-%@qM<LOA+<#`RD9
z6MJ<o-I%laozg#>IoqF!@y|m){m!Wsfaf{kTWDVSa><8RoXyYL3jf|*&M_At`UdWI
zd(LbA`1DWoJ$X4=^iW=Nr~cW@+5V$P3u?c1_?kT09Np_c4Sy5Ad1z~weE->esBa_b
ze@=NM<kmkyTl2x=lZSN*^xof_4LRFG{7wEo<*|=1P5xIzy^#M~BHHhHU>zD~iWHNa
zw@yw*UYF?EcI{0#S319DsoCv&XaWDfT3B=#^0_AY)A8+<Va>oR1P88{!IX<^?};F{
zoS<J<2&@lRRnpHFy@trfu`laZE{`|e{jDeBZ_Cb!wStw~8JX@!yJ<!6*Sz+XKeJ<3
zGE=jkj#dKofM?D{D9#Kt4rniLq|FHm?>!Nn4SwOKWvvmFIwLK5V;&sEA_@P?F(^ON
z7c2G90?1~@`=&)v%C`V@3*Avu|B(G-jsv&&i&lw*aZ6E+PUVFrQIPxSnR8*%P8#=N
z2^RbK5kcWCxBoIv)^<wJRo!x2w8Yw6Q1y;SVi}g*7=xJrPlq;`Q5vO2+5#acFOo&x
z?&e@YFo{rdoPi1@DRDoDyA`8sQGAwebMJ4L1h&zEpmo<ocM2goTh=xC`aq^z|D2Kf
z5c~@(4!cj$qm6jha<4fQk2f^}AjxG?xro57mucBwX7fv~MTnHCO)h%It;5O(@~Uw>
zg2rD_D@kGIg}{H@PS^t)sdo3L32BLebM>J2kN17!>a+0h^=eLzbY9L2V3jmh<yY!9
zH36)K`D-k`JLNh>n!Oztla5SEm&x~O+tSU(hF}}JIyD++tN$xlB*`yafXQ;7Bvs=0
zl7>GLr9ka2$~&RxZldGW952$bi{q*-z2yN~_^?9E2?JOmo)ydMC%ayID&W<*l7Auy
zPdzZ{H&WFbB+3F$SEoymoec)%((ryGf>iytJqKjUhPfzAxdJ-dTH&Efd+WV(4wR*0
z00{3;(%ZE=je|NS!<)Yz+nwuQ1hrY3q``;o9F$8Bz3)r%Weyih;@Fi9eeK|o&%Dv)
z2lnEltQyF;Fk|~r<RRI>5&C|to6wZ{y$FY@%cPw8j4V@>wfoeB5O*uxb0O(mbad5F
z0iW}Hgr|)<R>HxzK+(2mcTDW&=nQXYNMZ{BaV5Wq2p=mzm#w}D_3E+~;fQ&bUo;O>
z_<dXCT*RtaL=FqNlGIbqIcoRse@7}tSDJaL?HkiO9~VP?Lv-+!<`1P$H`bw0-97zg
zqLLP-)vjd3Aj4p!LF+8Q$J7DkVPUN65Ue~t+1ojD2~6@2Z5%~p@Aa$awWMy0#i(d<
z>-~>&#KzW)R%8fNX10nB(?kZ~`=5_UoxWW*JnA2OWV8)#HnyH7Fx8SP=;gzbc5;$z
zszWI}{n;pn1tuks5EovOdp|i!E*7PYIDfMhYD;a!v2M}3dl@2879mgGxnMNxXomJh
zr8b63kLGyuup3Hw2ePqU8fAxSgk9%B0o%`%9?L1KF#BR!*B7uqI#Aj?kq9ftyeWr7
zRLN39b2lTI+3?oMDdlu8CmEbShB==mKQ7F^KR@9fy|QOq?YYxy`c<3AOL3nX=(dg8
zY+HDozPKn&{Qikb0ferY8)P==Qg~p5+OH(>WwHkSphSz4sGxWM&JwH;M|(Z`Sgnl0
zZkmh4EcKer#f#(0XoT1F;>ZE>uh6It(`t<dv&g?#DgtK<?tM~ih-7FQ<NzP$+2Bo<
ziw5e>lX$|wB7l{Hbc<hq6_?K7I(PE&g@5vnupQLr>P63W@2gvJ2>|~Ni)g#<>7JrW
zaB%|#G3a62%Nj__y@7+|>40Hutxq~io=;n2B!2!Z9>QlYb+DWi+<yjnt0b3vmya6C
zx|kFdc<wOIxzlg-K`!RJotf+$&;?EWF-$M+;?3`qWM6Xt7Vg~h>{%zgiBDZb58RW&
z;T#AAQL~W}?F-QDR1<s*74Q1BYj>{i>crX5yS4n015GJ>oV+-9{O{DeQ*1Pm@I<SN
zHkey01R9(qo;Q^8r%RNcuscEilAwBS{{SQN1r{o5{ai<VxcPB42>mMOW@Dqjw7mhQ
zTx#TbiDl`6e}(9)za12uR0VAEOKwWa$rY5U3zVu3qJ>vQyct9{2ZX_s2X;L_jq%ZI
zm5dAnlZ!j1gy*3?j0b&;0&jt#)eF!`8y}e9;~F2yGBS=i@<F$+!K?4&j+VW}w;c^h
z>I6xo?~~nOr7}D>n6{|s|1>xw2T{M`O`WsbQBJU~H@KW(TBjis`?a&mbju@A!qHPk
zOiX9oiX-csSZi2Rl-6X1k=Zc0!`ao-Q|<joTWF<gWwr+);#DVZx+0LvG2rH9yOSA_
zge(gCJG$$ZZx%<P@A&^Ibdppm^|0q^d<lu8zvF?<o=%cF$f3|iwyO1C=Zd~=*#42a
ze3DxYtyjDYus8`;9Unu(J#sQokJyhp>?6Xt2){um{uR0F=u-rpgh_x!X`OwYlFT&G
z=XLt=g_$Aha%YfXMCs-JaA#LqRWb^J$Sp?%E|dXrb{vyp#XCA0xv$POF&$G*z>Ql<
zfYZ6vTtWSke^?4mfr>oLP!aBLuZPzeB7$|qZ*68fV%fT`HEj94O<~hRmp4k$v4VwJ
zAc|v9l9jLG^90*^D~HFR6FGmT#7C>>sx-iny($yE1N9AXQ1vBWeokR%yHJ?E2xjR#
z-&6FQ`vLPXMr7-4^QFb7yp;VtM@-&wZqCFMpB-S){$8Fr=-P@By`=j|S3~0GkOOo2
zDpo^<(-yQ9{M`XZebqIx2>2{*aKRD`3(|T*S*p>K+Vj|iUDXT!aVu2JeYChCYWh41
zVfOHJP@;rIQ(9-uMAf^82!a{1L-OY8yVJR2#S!H%&PB-H6$d+>3!QL?)!d}qd7Zys
zoFu;DWxELiE_3vA2C<ep%l#Hu^-^rhll=xW!QW=YrODH)v5=|Ro?!7=?ewFv(()Ud
z4?pbRd%O5b(Bi2_YI05a4Jz4Pt1Q>}(e_=TTa75v*lOYHBge}-ZY*mrcxP?BN*b(u
zRjhI*^v+%tGUAR-(TjlIkoKNnwM`eFYs(u=pH$A&;X>N-e>wX(?NNAQDq=lOPqni6
zJ=eTz+XD6x18^*1>s;lwNV5E?FP%<NuR-_ee#dj^!;zFd)q*eYb$EB}yate2QVWss
zCLu$z$F&8M^K0|viF=Vd(ZVfgl4EK}(m{Htn#o{gR|4)4P;A6OETQW<`>C}_<po*~
zZW|_)cpIMLZlc$mO&>e4^FrY7ihP0NBpo9@-+l{pw=%O&Z1k_*XzQ#ZmYMO>qLw!s
zC?_Y{{YuColRZ6%wu#frW!ld1y~*)(AXPi=jEok=d}#fx@<689mJrGF+s6wK+dC^K
zolYkJTqbfCn^kpD13yh%4LPkyZt<2?lhZ&Q*Ovp{)bsE${Wn{;|IC}D1D$--(*7)X
z`6;YnD^r#hD=6!t199nZ>37J`v4F8x9d=jAMscrohX_)W3XokcfiYx8wn7!czcj9=
ze`n#jolO{;7g5sEA6CJ(83sfwpN@#QZ7+5v%6x_=3ir4bdRROD6Bdy%LJAx6K^~?(
zc6?#Mc=A5nB2!F8-EDK{@&ox$i+7l6EiBWfQfG_beBf&EJQ^A}@G9PfTOU~V>?wpb
z;i|@J)(B}o9V2A%$o9jPfe!JVyR=Wa2{oPKasW#mU*Rr=q%Nx@N;KC}$dGu4J+@0Q
zi*r6Tt&{v$0)X^qvXd7Wqw5hWf@iCi^mWIZb|mSy`WOri*1byp$dTH!h1MAI?*``?
zH7&tjh)@8c;#E?)U_XML*|klbHm`Dw0MO*_BaN&pj#HA{g4de3RT(<7VRSdc!;bBL
z;*X+x=N-Og_A%7W#U~isR?nVnvXWDDVxG~r&9OZ(kgl%H#^4yyV{%iA84hXSqY}&4
z9&(+VZC5Ru7dd5;1f!0uSBp=CdLe^+a*!vBx!~Y@Y4T8ctbOS0DFb`7;U|7y4A#oJ
zi~QuPPqm!}*sMI^`#bO+Tql2kJXVc)Z%8H}o9rVQrxNy_BwA1>i)UTyGH44&zeG&B
zQ2IX!;eV!$ZmgF{amT3@*@dMqe_6f?2ze?KNFBVJ7aC+jD}2e^)PXcy|L9->PEJdQ
zm5iB3c~1i!Qix#&2lixmqTS@hBx()oORVQiQOATpkmmX*4I5xSG5^~RjdlNv{c=$v
zX4id#6BD<;=~B0BO2_N9-N!x<$rJU(Dx0_LA>EHK^0QZ~>66HJkn*%_SXFbw9qJU?
zQsiNn*)cArF+bygNiI`Io*r&S|K6~C|DEHi#3aqIH_a{YHZuWhtE!VC)?WGPUcv#P
z)vPm;Le#a}+ZvR-N*sBGhM+oq^Ix?0V@YS)d4>sr!%T7?75})~Cc6omvMIE$S?~Jx
zyX3L33eWsivZ_~wcE4TGv|o8$?$bMw-v5+bocJ4@i#ATt3AEsK5F1y?u-IE?%w>eL
zC(o7Io*XV}BKJ)X+{Fe?cueKK_W<FySR6|oS}J`Y^!s!n-eG_+C*CQjRF%}SwOV!B
zPW3#*)-^DyGU-I3VBwqJ7d)wtHKOy9a61v_Cshu--(klwn)NOT1j?5^o5iKmoi`_I
zb-+x)jXL`%-xn@XXzSL`Mhj1`c&zp^Mi8|sLE+Udh8N(l&MFc%OzBki?R%6LNt6wy
zAaNAg%_)p&bGEyrwD8rI7lzvIUt$b)ANAg6QpR;rk{Rjo_d4&|K>#gz`X*^L6A$`T
zPmO#y$v{2Av<GqJgSOH6fr_zI*542S?0QlI(09aacrjtHpb<3Z;#yvWvi4ZXuI9!(
zW&7X0?3HML!|9vnCd^}lt{Up=WdsU&1ckv%;@@)vYpwE;yARG1FV;MN8HTVyCXycs
z>re)*)a+NwFBcQ>4WjxDKP%cl%MdAw89i~jo1=|X{f(coG><XQ15PXh3cCsiufWys
zaV=MirvQ8pRH*T)&MU~93~)^^!(22n%9P}lSN+$Qmdc35P4aH<BLmx7Z5>lbNQe;{
z$EmC2=U15RH>7vk_D_r8T_r8tzD@eV%@Ac0;3>19#)Si__Y)_-)EpyaP(&F@Wiv{r
z*fpXOM0&OSbc9DGV#k+<$*00;hv+Z<##i<SukSc!5+c6qX;I%E?I3D7=WGtO9XqPG
zEhV~?;C4JZyqFprOulpfone-%qsxS$S6%+~jY@G}ej8<iSFtP&1NV{gtV~6=3JR?}
zaiv}2=Mlk2xW}Ci&yjU2w@oAz9@7UbB-D89J_MzSTbT>{4EQ%RrF1xYel^@oH1ua~
zSiGU9;VbNT66|)PPhWWH=ux)iBK+M(BdS6m9g=ESIYE~9$d&zwEnM}!SmEd{f^HRH
zPY+y)mwl^>Zs}|C5>=aYs#u_^mi)-HvzDU(P~H}1rSV}s<2}Ss-{APX^~h-qsKweY
zFnm_6`uC(}&vyo`Pfb<9e}Ji`tNu^LOUp2%p|`klw>wSO;nszj>&k-8zSy$)1<!OO
zd@=OYa4uCfP{BV#-R732oy{m{XNX8hlOb%m`pSqY8KqU3n|a415Ega%`=VXiNoM5v
z->7>oSnbox1=@j<h=7y6v+^oEKNlkFF=)~hFdlAR>ftd_ntwe4Yw_IGkc1-5w4WME
zUY4m0(w$v*rog+te-a=xMZ+@~?-A>;6(Pa7m4(t??-)09RKZOB>HRtIAw2f14VpR+
zT}%RdGAG`I)&|KcTML@kOjE2OSGKW|?Pt%lo076?>L44YFEfbvUSv5U0>y!+-;iQG
zwi3|-%2ma%Y6q>-gq_i8DW}AGfa`Y~NN$sI7YICDBjer+wh7p`)oeW0tV<Fm=t0WD
zYq1jPlGlxb`6+_l(}{T)K|9-dP+N%v-m^*?nKVd$=A_qKCn9VKBRw#Fuyg{$Hgv^{
z(?rEwmC`CndcNQ63Xh#M(F=71!xnSv!E7Tx@eJNS11!x*E2Vl`cGV;qeww3yU|mW=
zLV_1HZ|<j!VH!mdJc+#uAQuC6_j8^e|H`gN^@Q38Y5mg&Pte;k7QC#g(Z!RM$r-Zj
z5U|D88%E$Iacyy{{4mL7zX_&a*v@V1xg{H|WBgTv$vk_&0wC^2QLtBTA(*SJ;si<(
z{>0B0jlSJOBm#XhWTTXCEB9e4kiF)J;`9gye3f@AZ>X&DWaG?C`{3uSFC$o}5a`CN
zB#%;tDkPWlb975j>wR~S``AM@QXV|8@NsbduR9+(kVp^zTc}@OtiX3{W84KuQ9Rfk
zuqt~W(nvKO+d4VE)yD~D5;)&3+l0t<p19Yl#cCJ9OQnsc<`&#mL{weTE$H4spx<EU
z6)t`mUP&8+!0bQ}a<qK;pj5SC`9Ymw-hnQOmAR$g!U047-J<Jcndhm`mg@?IzkOWw
zdc`&ZAM)cq^>so|&=09#T@ac1q;%>*|N4##R2>_93aUKWJ!578kVt>mT94=*@q}+;
zS`ju|79N)D3rtoB>a(<{Bvm`v5VmjY8{k=BN*w6?NWQdXnzr!}p-7%+Z`wV*QY?&_
zsI;0TOFRyrCTuevEzT86^tZbA#^k9mzvR6Pb%A1iSjK8*gu9I}QBeI|HGGY=sW6Nv
z0d6g{4x|>XMzmHi87T9i$qwtpNpuL}?&xCyKx31Dh4}R(M`!a^sAOP7Wl|{99a+Zg
z>l+@l(DI_rS+~Wh7}-~vWt~3llDddQSm-KQt*Duog{lEOEVMep!_6DD)lf@Qx@x<@
zpjN^ub8K_YO2TNs+Ktk(h!bwxYr-DZh}1Yf$x;EFqFJo{^auuQqvqOH)|!&XRL>f~
zri}#d+X_7ZfZ?taqe?Tp0o!J$yll*{tA>Q5r0OTU0H0w(2n~aGedHTR8?-REXaT_b
z`0mpmNrsIU!SQ8C^$DzlN!F^FNYwQQ`szzaYtfr^fm<e7bmzARvxSblo^Y$KM6#n-
zxz+G>vVuoUqfV@(@&S=6spsXtnzJE#_&~-4G`yI&Y@$OP;8RYGG(3wXmM)3Z2`gag
z6J{@-u%tCDFWJ}~Q)fNgJB>p}K_jKCS&<At^F8mhwSeT8DTwf1@Nm7-Vlx)GVbLTk
z1J`}oOXs|4o>ktIISLfjKTShsBC;COgq`!Waz-Vj!HgqyuCgHS{k93_YN7heU3f5i
zAoNpagno#!Ks$K6XS}sUfGJX5?J5@q<4RrRbec(HC0WHPl@?Y!%C}qK0T_OTaH7A^
zgV*2Yy<=AMyX;`3UNl9+joKCrLZ+6lcnN|KG;_>4;kUq$!rI>5mW%9u;BUVB%1<}n
z1+Q~=ej}QwIph@aq*F&4XBPu@do}93<&_Tc44{E<Ae7a!dN5JXvO~e=rBqdw@T==F
z7DB3p+g{*4bQYs^!v`Vff6FDuF;K;W^~TAXF?i4ifgJ7qL>(SEK*!Pj0~-b$IwbMt
z!<$rm#2pbQ7P+*>&ZhG5G`9qK^@fej>|#42i5w87-}j5rjmyKb=!SS5l*fX;hk1w2
z!0AnYacfgRjv|=Li6xihv`L;c!D-llus%U`s7wbLB;VDA8%zFWI~43Z6drha1nVsi
zDDXDm4Xn*b(K)F$9QeV-ce?aD<fLBzY%N;Ho+Fzi_E3}T-B4N@f5P|#F;m_X(f>?|
zN&m<St+59|Ta|kVK=;9!ORhX3X;qeBTw|Eky{;(u@ry44ZnJox5`+JZo;*x0GD4c-
z{P~=svbnxUz$tSb+_!TgL>XTmEYPQJdU;cAL6rxO`X`#LB2Aui|1nv8Y7$##&r%&f
z4@{BH8(K7*tZ0bWYTO)<cr5%n2jD<SS^?de^2>V&EG&3^FwqEkb3KV%6FNWb?DR+4
z0G4-TeL8F6Le%cS0YRRFgDiLmadDx~A&V?t>UeDKGAD#W@9Q`vy5U&70!kHVJ!n=&
zZIf)w&msx?A$=@J08V?w(?I^{b39kQaCVSugIQ)JFjNg|>;GkXrs5241Hbqtc+-ya
z>OiNVflpTUrIJf%`+FOo_z@`i?GG;;k2SD=NEk$v$9tstwW8r2`b2vez0w$Lr(-yh
zoM#hwOYV+N0<I;nPfUQ=A($vdC~SYoz*>jT-7nJzmP)LvMn%ZgWyL9v3*_VPc95Hf
zE42C=#GkhR;=9^Z{Ij#MQHJofDPdG<)vZm#2AvMCfu-;-8BgSa^t1XHR}>fKQ*zDg
z?%H71d*r;;{2s76gBq#R6+(qNyb<%lTOL=?r~e)*Fx>hWD3x<j5AzLZh42o$w^jt5
z>g&?O>$DjN?0HSBTV(!FT|ElCenN;jC>)gs3~J}(55JSD8$FZ#=2PRDLU|Z-w3SZ6
z{*yw*6Dxh0vu6?|*GB9kFwW1l+X?pgz9+T|LxZhtp^@8J`?#sBS<_?!8E?Tm@8ZkB
zhWtGM0dM)JWAJ0|@2X^ln~FK|cy3{FRS-93vNRz@J}(@;Tq=|J#5y99cGz>j_*~pb
zo*lF^FMbs->(E+Zp0^MhF(4=O;B7AhGvF)Q-pgPtk2XC1bRKZ44`QQ)+1AZ{aW?Y%
z&wH_`r$oV1Lf_4B=A5!<@vWp~7S|9}XnM}9COtbqu;iy%hUZSA8MhwGVOD<MY_ZOV
zE&MOfj(|p5mR|u=5~NXc&fgS-0h4a@mb|#`bu3XlZX>56rqtHC7Gi=qD$>g~Ey1=p
zKw+?o?uvv^B-j9LDaV&F5>nXOdDFh8|8As;fQVOK`!AZo?gueROhN$xZYno>O+_bP
zMWF46q)=;wmatRg2K&BRKH`$Alj2h;dr+RX;YgitBc(t&O7sLJWaF|o+oiS>L$Ky;
z6MEtqZWue0003Mf4}`UVp+3ZkMaSlSY*z7IA<w?P9{ba)Sor8NZ~sK2&SR3;g`}Pq
zqsRzh8>r8m*VIV^fe{O$bmvxCIG2HKl<85~o(XIqqRi+5Qdr2|czy`$@7Iu#*U{!!
z@ltS#ledB(f#+{&)1=0#434_TVb{QU2JAqs|3<K0=_Y|gy16`NyjG1Mf&O-<?6=c2
z<&c)p*JuP#DMn*Y4(B;Ea8-HAX7FL$jH#mg(|blvx9jSO@fh~od6iJbz4;scca<bO
zUS8+%zQQwkr7m#Y<R$UyM#uWQ$qc_<TUbt1kXK$jV*T0RF8#@eGpj8;PDO^h5e15Y
zdflIr*VTo>B`PUljQI?z>Du5#lTRBA>6O0O*vUc^zi%z_jXJ2IPlYDk_r+6h8#6YA
zEWYt%>1|ThRYIS<i3wCZ;Sl?Fv>{Lu8AOXL@s@ob>_C=NyZfnC8vzxS8J|4&-mGI$
z;W1UZgJ`{;3M=~l&Y5i0^`+%ZPpzfUDXTW!L1pUf#x<=Duc5tr<eup<U%ss~9&%6H
z8t-dQv2ugc7PY=fo)|IC=gH_}x7uu#i1En(J*w?5mc|{!#uJ`<o8fDGPAXe@%}+Wu
zE9&Un5S@J9Yc8rKV@h#sth*fwf6QK=fSp5_ZAs#Wo#xwp(?juo8F_graiAzeB+jPv
zqwg#&`))P*eZlwHK4$3F33^atN_9%Cz$sXnQ0GeK`k1*EO{h3#UX6p!BF~&sq0AoK
zRjwM+GYME36=3_DrHQY4V**VWO&O9aoBLT1=xQ*l;q#RykAbiDa5F-tYIVmBLqO5<
z&1R>LxcDS%n+i4UWhgRIcq5c&3s%sc?DFo+kO<7<;xdeq_Vh%1fk0X>ydtAKS4ikd
zt>xSg3r&zfqgj5_qC5V*ey8h>(dKCPWsVe{mG{ivz|9Vb;AeF0%u$)eUel75U3>8X
zw*i~0h+ElczA~Beh72SEvohVcoR${Z`S462i4zrK9|%p!-8JZK?scS<oI%;R&Cv~1
zpt5_vyl+6%a*ws&d8vv|FHh;njA|R%%^RP{3#jilN*Yz_vp0LmEnJ7X4G(8zpcK|D
zH*EyV#K`8|5|}{@EN(BPul&jJK&$Yjfzl<21TOggjdjiD{mpRrPqmBiOvFpU=?GBM
zmm~dCbvEU7cIvDqF;XvsJ5M3dGuLsrA9<kfDqSLZW9gNJv;(}!L8Qn62QZJ86P=%5
zmEa1CXIfT4Uub?&JlG(JwFW3KGrT6-9XJ@szvm5C-^zZA5fmsDNWVfjI#g_X6|=K5
z%H2+qc#rUld$2ajn&m)-7K!tz7?tyZnkM{be0l1Fk-(;khof6^+{;y8YO*%Yb#z1(
zDup(TKyXSXl%rQsWXm-*p0A|`Pi-muJf^20lZi0+xZmq^p_45K+pV0@2^!>HIfzia
z_{Dis9yC1QO?cgiuR;WTJ1`}WuV&Lks=iib<h8x8>OR}Y^zW;ylaKexr;{1uwW^b7
z&v|t9RNu&uzKHbbAg%s%gLs@eMqeb+t(e>X0{G}!WLc6rk%}Bv4wo4kKo0*XbDnn$
zCwax=@oUZ(dHr?>1+c1=Pw@&>HopU)s}}%K&TWldTCNwjeMOo69~!F!O5lcyb$;t6
z82hUYir3~gkN#){!))e;n={t2a!Bnf|8}OUGB})=#Qum1X1Em=*D}^KGkwP?SlGm?
zY?5f15^2rF7nGKfkdPZLiC~Le<b?uQoSJ9?^+0Gs1N@~$5j@N%HFD5@a+jW|{L&@D
zS4kvlxnLoQQWZxutg8(MRl|x=%jRSK$B><S>|F!Av=eO39huBj_1F#4&^ll5OSqy=
z4Sl;wwJmsKrsF=7n`K=GX)mIg!Gc4BV-$r+aI~46v@ZF_QjsYthl01#ZxEC2dy~&|
z*~k$ZDaJM@qeTL){di@8w61<LtBnXA-GtlV+wjTC8k0T6EA;}q?iFW-4=EeRaU731
zi~Q<A>Rb=4_3?8O_A@~V)7<R3b)6Qvfl;Lr;*T-JC1bmR1#TvJy5Y)oV(7)3y|l&3
zjL-8;&e@?sJ~h{+vMal~dnW$8km7CMlJ;s?Re?cm<V^c+#OI~Jgyaltif84qFyUh4
z;wkeyIiI@P+i=@@R(3nP;EK$m@mGhF_|5)$K+uqz!S0i?^qtr#Xn)l_G`d9qrEVO#
z$LD^Zz4&%C=zWUoNjwE;EaE*~{2|sdHwP-$%TQGgo^{pgDtF(49kXtJ^j!OoC<Cg4
z8=PCT?TK#~<2<CV38lD#8*hwi|F3DU&iQ&EiJb^1-o&Z(X(0YWC`!(#bG4b`1V^%?
zeJk}d6g?)#ABbHQnyg3w$XGLq091uXpZ|yuI^!Saykp0)(%5Vx+roE@H{&O|-<C+s
zYkt`OrO~~Ql`wH8#JC)bvk%CTr6ok}t~{=m<1$yO2W}ZNgN~t=9z8q5i38q(=GgvA
zvy|t`RajYnY5|dE1%@T^ab{VS_DI=@$3!rYGW+d?#;)Wknz@0YqSoA!o#8Z}FqVOp
z%UEm-k}zpPU9Zx3I*NJcGao>IER{KS53ip|!|9^zvnvw*+PZ;3u8vl0rp-TgxZg+w
z00MqmM^6iXHA{QCnYnp!&znIEoH%!`VC*4cO1`UwgjK5o=$}B8AricD<KTu(KdsLS
zdSSe<JDD7ZcEvC4G!kCDa-HOZ-af2nF8K;aKw(95kfYXe)fsT!;IxjJ8f_;Fa!7iX
zBK32m0ojrmN`X0|Cf$P`HJkcQwF5OES50c&?@rL#@tINWgn_fM2|G&VR>~X_$Juki
zE=db-SF7}t`WOOsBtpygcaxB*WhZ&2<0*&noa0!ql^Tf_81cbBT2XMK^oy(*FGO@_
zv+*o8$=p(};tH-yV%>USe0`NZ)l>gAn<-H87Y$QY28iqHX}jj0)j|e9-*3VaLzg<x
zSz@ig_OvK*>OMedtlp+xJ+sQ5np63<JcaqF#wN>EVeKp<vf?n2yjb*0UDO>t%ga}1
z?Hh;`6LEFgtQgX!`A#C1Y`~8dQeXwoq-e`K9$L<>wctE3zvLKDc=H(@*gqB&klY@0
zkukb(kkc^x^)D^ko}ZS5??*gO#>I`5@DM!^b)Eap>5Heh42MSF`zg7??+e*$Xyd?J
zwf3imP$ABk+jCO=wkXq_#Fh6^;T47s7(kRLWn=3vZiCZiBU^sK`M<p@1#aE6vx*Rl
zs%qj=Fx%nG$!|9!G#U2USnni5yU^ytqgHc{%3*U_1bDqr3}=>hwjX3$k07rpsoGGk
zRG#UN@$B!>a1I+d;E-l6$#C03Ssa3}KAWMzE`Igu*W+AVlDBRdA3b`M5S5gaG>Y;Z
z-Dqk*kfIFxQ#IH-IOISSdyiC=vt#g$3N)DPm+EEcWL_-i4GMTcp2(R;=K*^azEk=X
zZ>-exWs>qnwxxF6wjuPVA2KkQ3#y(gJ{_wrD|zN<>K!S%D!e&I(r;A)C*?d6rd!54
zyrmxsH}x&Cq)}6Xm<>h4FL=*I-f2zpB1}|EHay*VXaJ*Uw=`8tIxy-M3G{tlsSQTE
zojJ)4){3wv1vgxudomyit=aQ*Y2T&$*L8Oe+TbuMW;)VyPk+d%X|4NF07ae#=&75y
zR_WUTdz36rnXk$Paw8as(0KaoKVN)fq*kP57FMaPtHWE%G_7yaASmf7;cWY}DLM*R
z2rpFS-1}<qsZ%=}lF<uK`4Bs-s=faGEl<ukQmyc#*&egM&|uet;UCfB6?5G%6f`|K
z`aY>vsvd}(W(HQP`(0V2Pc>F#V->Y*&N|k&i_wk$q5lCB>HFW9=cyzGD{o5LyOg}@
zDe|eI3|S5rN{oRvVTq8@bu|Q#PT;O#3Tdm8A#4tFO_c2_wOS;d6Lok4deX}ocTTwG
z&0_aM(R?>|jA;gfRY3*_fqImkHk9c6iVzbsg{BYf9NP^EkxvV1Qi}Ag>mDBl^LpTi
zAyid3je_+2R&~L;d0pR|=d}5D$5%nukt&WhU*_nUS5!&h^}0Jg0WICb6X^@R<OFVX
z*Ykz8g*Vc;sQvQf;Q>$FYDBhbSh~HC!X2r6&yqN2{cil=KEz1|sVBuG&>vWEI4RsE
zU8Woa74$jls<i^T6`t|*eMe=3N>sDyU6SZjq|Zd@C8@j-gLzEe6N;^t@9J%s>{&Gq
zswoIrl}jovCFZt&PD$#~2tWpHdw<V1&<FSq?g=Qt+wI-Vbyp2JNCkug2a9=_-Cv;|
zm+~8=0Lt2-R)J3H@(V{si#kA+KAb2#rFB3Gzjt;ays9H-)E#X3u1IG7=}p|jGEQM{
z6rf}T@>zS^yLbDd{FA@NZ--P^#}--(3&I!-MkdFrG=ix(?xfeloy?00-ZQ^4DMYJN
z6oR?92oI$f0wLCnM7~grW~X}ZZE*&t&)RPMIghr=bijsNg>9|k_jeco|G5WDGG5<%
zqQRsuT?${M^*d&JCZ0T49BUs&1@vbF^dlo9cc*EQ8G&Xz4gT|b26-wVv$BUhf#15?
z*{r>6S*IBFgAFt9u@853l7#VTlHe-mK%f0t5%%{_FS)8Gn^DtD$|$8X;Ub!-Z5X*T
z&wu>*@oA?0XpJ2rip9vc64~uGhG~2*5tF#$53>%-*&1)`Mp*_j+1n7I_5j*3hsw&m
zhVX?u0MCgBr*fVc+{0Ix+pZ=qJXcT!xdHCv3;))p1GTq$***pD{^t5-A(O+MN*o$I
zo73>5M<GFIFZ;yl<>FP0%2G!o4&gVe0=Gxy>ZRR~2nOp={&Y`Y#2@mu`SA5GyFBkb
zu^h;F&I$c2r9Oz52r2}U_+r%zmb8+dL!UAMS#ROXpUaLnF`UZiZK+nUy^8rU<%zsd
z8a-T-LpDv7d{5`GMMVED<~g$TI28KSH;^)JUp=W{R;-Nzq4bo~ZmdRxwNFdn+M7A8
zt$3jYZQy&2yx%zKEcC{|a+yAq<rL?5g|JjD%#@Gw%+L#sC}!vBH<4bC#4OvHPjy_0
zuSeQjFJ#E3EHna*j6k2G%~S+G3}nuhxs7B#4t0Kte5<^w<&@~@HsI%+pgf@OGjO`I
z(aZlPuAkRZEU9Ls0-Rl0)l}@&55;v}2@`Wghe7+A0<1uu-ycY|2917{omB`s&^{iS
zk?E~5C64p1YPwQ4mL-O>u9Ad%y&Y|A-X>?MUuEuaW_=L#^LZJ-H}gB=h$zzs4=U7c
zT8w@FxL88qROj<`qVrISaBgFezqo~gK}%bW38cxRt1@7=er`=b`H=OyrU13&)T#If
z)QL6N#E7K0m}*$s>TSKrqN_fz{S0_>H&UU^Mhbd+q6hT}F_E19&M)`oC<pC39L9dS
z=is*5wzaWYQ7CY$BBLe17r}3>1p4CY0rxK*lCb|~COxou0g{$iEYP+OQ`DMLCS(Kw
z^mH}{hAC<S6(zCvI%mD4{GSHBZw)r#m9eo02yj{oVKso)epq&UV635w+Cm6NOX?(x
z&BW7$@jilpDl|1rTP9*7`o${bkFBPKH#cxm3cd*tt;oGC&&}B34S$lb$526HZ|aTf
z!Te%Q4w)n)E?&gM!@QV>ibSW^nz#eC$xRxEczp!AZl1B|;_g**&4Dwn4c%O+Yzd^m
zpY$aALm(-fOHfd-O479-RJWiZBqTIXCc|es;t`Pty8?<{nWqJB7aXQNE2Rh{m&>&I
zc~KsoBnMt2BO_>7m<`DxO#(DhVRAK)Mzj-&*m&>g=vXzseX!3&Mxpp7OZ79bn10Tk
z#6?B54nNANR|k%=Hp(^JiEYqe433Biv(aaEMbr09u3Odi*Z``qm~Z-1w?orSDZ%Q5
z=c$5mGd4SywF_k<C!is%jUv6-QrT*a@gC_4G)dMo`czGJOf{*j0<k5I>+dTn7aXZe
zasb8hlM#B+$@EQsc@|8iZ+v`kTQzrmYm|dDYW0DQ@!7m{l+0TCK4<uyl#Nv}$#FEC
zhXZ|g7Hoz3RJw`bQD`ZgROcN#Y6r_Y{N|#=B@UHe=51cFntMA6Xk_v5vrm7{W}LN#
zgHBp6uRLqDrKe-e*RW|TXMQ0P!9mdx@QQn#&XY6;SjI?vvHB2<=Fj@$8tq?BXT-so
zL>Lu;fo9GQu9TzST98sBwKVyK+7Wphg(9<4$`gF=Az7Q&k-ILJ^Kv*G5Z#}(ssP%-
zbC2P+8riP2W;M2o@^sehO5U`2k-syj##nQ8p*qH20@uIg4>0`n*aj8;(-Jenv;y5&
zP51MCK%to_)}hX~|E{Xi)8D5v@2OTCgiIWr$h652?jPgf)BqIPqaZ^GdkoBeX-Y3p
zB0EDHl@^x8A%A$k-#4XI9SO69CigPTDn}cl7F`TNw+v9e;}7u?smZN~c)=B_-04J{
zT=ND^r$9j!yZkD(qG>Ul#LSeDUMtHeudn4G?0@`kCu`$Lv=Cd<Hvm~)B+WO@8)k2|
zDP-~%%KWx*TWC8p*&2UCA}k&O%WJqh2=*n$TvwV$D;H~d4Q&i!MrOvdB^(+v+rG`Z
zNgH<V&p$d)_RVXz1)9ShkAo_VZKV?zdKoM8=)k|;tt%%AlS+<5v@3M>b|okjk8fv`
z7G)S;@2Q3<-&XCzxXFU5CLh=l4<78b_XRi)+~ho_e!MlLQg4>eV-)+QH)Q-Gl3FB(
z3mP7wvf`q;#bg#-q3X~S*}ePu1aQ985as1AWv7#A-uNnMDpx2WYuIr*wlR^zy{$ml
z=j}#gw--_qzuKDZ&pT{Pt4VJ~A`g48`0_fSl8hv4*hs@lrpJfx2giHr_`HJCY8H4T
zW}}*$;vfuCKRbPgGSJCW>k5NvLly_{JB-C@$uW@<_u(>vx3d&9O8*;mdv_OZR&GeZ
z6E#@dvufb??0p7KK*=X}YI@pNqg_8kTJPb*Z)Q+dmj-Ll`Uh#E4DFy2u=GfZBErup
zShF}3X4SIjdx+joo#)kafgsE<WmoRnLviJ_-Yh4~h6&-C``%2Uhb_?rDuXji3y?Pc
zT`a(yDJSgz;Yn5U`r5k5axZ@5#||HPth_1aZ6v4dm-!CQlLWZ#9>GI!9nO>95gWNy
zur75Xy=~V?9B0Ox(Eyg$!B*&XOjUhBV^R>nxLx?ed4bR}E&V|9DEMAi;vknkzXx+b
zMj>kT5k9Eh3`SzqQBxO_fd9aJvl6)KE&P7yi|o;x*Tdoy+B~-iuJ27c|46I)F>Qt~
z%FghLvoznC*W$(m<`i(HEfNr#5!Dy2S|j{V20O6;k>Ei8_p!cyY1I~Hr+f$ekck%&
zJQ-3$*}mzX^ovwb<x+nbEEuZqdC$lt-!~x(u>M*6c=YN}nYTW`Y2m@CrBUq!GRX9#
zgAp37(lc<gGl9eu1nO0ezuQ7lzExj1;Phc_K=*aBfx;8Q6>s$q)@CHH>Y)X=gepHM
zye6m2d#cndL!KnBM(b&!?{@;K^EIrQ{q(6$6ObyVlBm`KH<|XJGoPZNe@<!hg}I`k
z8Rqy-JB6qFXQW7c*V)Yhq7H1Gn%^1U{spdcpy+V5owxaX4_C@K^9N_o^`YN~vF1O<
zua$<2RFn?4R2DTAuY?PD_Wpb%N@|JSKGw@nn8n1zR1J<D#lah(B9M5r-W15bLl3T*
zFcI1a@(dJOOO7!TL?&5C<FgGQfKW@%G+7y*d?#omq;)~|3*<8QZ^XjD9KNNO?qBdo
zus$AXW!Mo8oF~s@)`m{B-E0LbW44KU(e|x7`y99G7_`G%Zw-Iz&p|=^bjVwp&ghBB
zULxidEX+BVpmSes`}QibdzQnCFQqvqdCq)P<Y2BD#bAKiXl2s`%C|I|SHEw1+!pQY
zWQV3Ltz6ER1K=AN6ao3*dPQMF^RZxddHu4LPbEY0?{*H>Lf^OW!+K9D0(^;6Ey?>9
zgC6#TuQxL!EvhOwb)k*^BL<zi0N-fzo`l<DLJ4Uk&ca5kWk-;)o+4&s;o(6(CIg0{
zfJ#lyH8*6e8<vha)sTby{CX^~Ig&H^5t~-k_84n6jeXEANK-b18bVn%DZBSlHzSqr
z<EOkpUkP`Kp!`u)M3XqZ*H?Loxz@|zP$9YZcTeGE9{*9S*yz75US5Vd;W<=SYQ5NG
z(3(UW{n>rzczLerO6jkq_P-CNr+opDIyysX`DAYgX$}=+f*C@!R(=485Og;CYGJ4)
zS<&(AXEtlcb>c_Uy;h@@(f1X_Dp>+GV|{NpACZ*hT_l<cLE5wCq5KxGMc04GVO<um
z9I-+eOYe*7NODebN9HlfWxUMk8=EsHtFwt_^J>&5vzGQ>8e^x?8Ha{4SFeK#T0Mf_
z2u!W+u!of*mZLN5hZ}hNP^%w<sLFnKSOjHhO}|dTj8K5FzSx#2p3{ui2Ad=dC}%9X
zFIN(tw8dV_Q|B+6HQ_?-b-PrvJQ_O_$mQv{)Qp^$>&o6Y{bg*7im|6#4wU6djHy9P
zs`VeRf&{-oy_PejUs_!%9pbtD>&DLS6}+`ReW6_D<;%23HNW&V8b#R%2SX#J4}A4h
zGHQOjbIRT^bO5dUp(5J_r`6`4*e6f#hE?R{s>M}4#A|zuLtb@Cjnzm!7w6VJaB#9<
zQ@Q;5|M^BBsh)$+sF}861<MJ6dcA|0`r+1ZM_OK+ajQBD=O8Zg=y0WZDd~lo`b@tB
zQjg9<<7RMzgduS|^MSs*ihNwqG(=(JJsr0Neo55&kJHrOH_h%me5Z-KPu}3s)iWek
zqi0nRZL(3*NT8DMmy{q%<{b0aj>wBe1+R}y1cnr=?}f(@BkIeu3DTncdv8yFMhEEk
zCp1G*MGrZiGsd$jif~_>vEyz}tr+gyvje!kBWEx^*dKJan%+Cb+J@{z1vBKBJeQNO
zKz0VUbvI?kRGR#~5ic-;Eu0eS5BsXx-7{{r8MM&meAUJY%e-M>2)c*@;eHMS_Bd4i
zi@O*{>HVsDjRkL_9EY87NrvM+Q*F81o772siSAiS9Ni`w3GG?8sJ3?h{OTkDG<Es%
zWrE!P%6L5?Q?$Oly`4|Wy5#7w6BXe*^d|iko8v83R~*_x*0Ih31kRoIcT03r6d()V
z_FQ&1mI-||?Ti6cLKqT^u%K@4DLJLDEkulO(Mb7Deg^;eQP9<%^K$JY-_u3sAB9Iz
zr{XACtm1~%kxJ6705#4BN%MLi7I<zr+5P3~w_#ju_@!aHp#6&UwHtug&#KH9?H2vy
z>bf8;4mzqRa}jB`&FPc+x|oqTxw<BM#UTUKULv98hf^FjHDK|hcUg(;ZFu1Cp%rh@
zq}(=8YoBN8;?DVhh|TM1i`q3YOYv`nK)u5zji*;Vb|<{3YG^~+23!iPYJ(nuYS|39
zgziW5F`h){TbIkK!37|>=wI4OvNuI4=XHKL2jvjSn|f&vX)?@KyX<ufo3x<dW-C~G
zB~sHTeNk!VoFLZ7W~&O%Z-f2L=Op~LJ$-)8(kZ70?8pl{Ur_CkU{NnYBpho<v=_yD
z?{-ciQ_#R*X=~j)ov17A@e6yppqb#K){LG@011lYK5^wzKHNaTYk*tGFrm+Hb6*My
z<d8f6+)6qmKqm^R0w^!V$)l)hk5tLX)>}<1mb>3OogNQ3TT=$Jzbe>IdipT-inIiI
z-(kZ}n&!?b_?L@t0^vgG>mO;MC{H^Mv#4hP@x0S(qEhPObvTGw<o{HnbU>uqWV`fX
z#+`P~C)?j#3NPoo8^?3kDH)yFxLLYztjp8e?SrGVs01K(M^f59rL1j2Qxv$8fc|K5
z>cqolJI*I`Z$@g@)F#^YBqP?D5>y~>*|1X58yBMXP^nw=LDc5JFI8}_1NIm3)6>&&
z1qF`r&rilV29J(S0~!+@gA=E#FI^X(4*av@{t!BNf#}|~9?T}O?Q{NAE||IeD+$L4
z7s-2^huRwd_$`d!s#T>FxhD8BhL0Scclq6t<5KNfn_|ZtIuR7{O@-g0+3os`wM#Ci
zd`{R^{;Am*?-t9lgl-C4QTM!@8ZKc7Yk$77EV+IB)y#L+L1usAC->>|*IURth&6O*
zJmUR0AG55{;Coq@<wNU6kv*jLPaiME8HfGo27h>y<pbE+UkiW3>%r<lKQpB5X29<C
zjBn#nPqVrk>*_vpoa!fymQ+=Bll2FL(743yv$-{jbYK)IN=qkdEKUv%zUN=85^2P!
z+GItpjLF*H$Y|KjF|md5h^PxzR#xuEt@F&|5#a8go=<%lGSHt9+iQ;lmWSrmo(~L|
z=Borsz|<oof+La_ui-Q_<i3{gII&yqR=8gJ2{v)d#J}vyMKxy{Z?t_$65FX136drs
z4ZF7qLA(Yoa`%*v-Wq&!AS`*e$mK=iFyS*|>4($c+}Equ+%(Fz{9eVK*{Z)xc;>zL
ze620$te-;`&?v<J<QE~(Hi_r?*YndB)J3dCo3TtY``1@7f?wYXE54H(uc`WCWI8rW
z0dLzrfPsAug>(1MSB~azAkIK@ZC=^Uqq0BZMC!*XD9<-L)!&6yP-xtH4>!5JOOA1b
zY?0(eTQy2p*u@io;YIT8RZs1pCCt;SVD|N%(SmS?+O^i&qxV!s`&AjXCETh_zJ8Z(
z{CRRE+v@08Q~0kcjXuArcI`gRZxk4PQY&hx=?w4=m^0k)?Y#b|uKHfWcklI|pBIg7
zVZk};YHj)LHa)_^LFazgQT<|RaO8O%A2~qq8Gf<m(iKdJO8ZLX11Kzg?}ToW+z-es
zpJKH`yzD)$k7&P$%!?QA7-(hfsn63Mh*`v%<nb*5-BcE;G!nlM{nqrmwZeBPxQXn8
zdzYbxfBt&cTucHCg9Lt>y*PFYA?dXNx-`dPPkHQ{-pro*D_zC3g0T9U7aaa)2B^e-
z?;Q~L_Olw2cgYKhqlH$wcqAQ_+`M|Ne$KBUHDl@^&+ZLY8dWH5GBXeTa<tx0;aW0s
z^a)SRXUOu?24DP<P1^&!Z_nwehi{~uH6NeR#EgDI720Egqn|&1dAzd)dI+;o`dG#I
zxdSNtqen*bX>^$3w1B{!l54Nv&rhi&IJ|bc{AsFQA~LV8ylsA`xQg_bQ2q-@xslWO
zXXw)6&zP7^)Z+@o@yh$ZiYlh}U4QD4{jmnBw2}Ye7sRH0SM;;k-y+uJpJe3+pBw1X
zq~~7xO{+qYp4&6W#UuQ2d>n0jTYkO&E4sW~OeU9u`_X1(B>xI(R8CpRQS_d{>C60y
z^4i<LM(ol3F$$OMY+*?v8p7<|(e^l{y-QWT*Q+DK!@r{;i@`;idp`y&M#7-bp1gKL
zdhQ(h%43@nu4#?87w%=>anSn6A2pHA{O-IDTxo^y42p~gnWX=9oc+<svh~SrTY*f?
zd!J8aoqNA1{va~)cX^vS-W9z+bpr>Vta;@ora62{PR@JwVTrLF87VR%-<MOpa|#R`
z^_k?M)J)x30bj?Zz=$84%b;{y-I6yhXGdoSiub+q<6^>m{*raA4Gjg44Dl{{YlsiV
zU?{(>G%w~TE%mO(&p}IL=Kc>`UmaCdyM3*6cc*lBcbAAD-6<j6NJ}?J_o0>UPU+?V
zN_QS4r5nDjzVC0``;E)LFgR!Lz1CcF%{AAv1tfrgpqJelaj6`5BNC->#GK2BCEouH
z=TeV5v?K!qDqA)Ua`f!?ctha{%KY@nyNzRc;d7OLk>KtgzX``gAKrpHx0r4J)Z==A
zHfIU)ewvjy{rbL99+It4>;Renb9;7bZGoe`9r+Jl)vf+czYh1b$6n81;ndVqhV=Mm
zFIS=ry$@%Q*QLa>1M@*m$T_|6I|ANtgz>)wyGVR>)1^YzI#-}b2iOLF{+diM_a#&_
zITOC-$v2~_{@J$R=<pq?fki2=A}^&$!|Lf(rS=L&<G8nJUpvdZ*CttIn26l_MSqIX
zhc-z#C!N2kKNB&M0zr2+UH7#j$~wBFz(dNjSt1!HLCq^IM{4WjauVb`d?fW2r3TkE
zdu`4Vxt3WXU}`}txUo!`@9Td2Ivl4l!fCed;UKmfZH-Rst5KO^CNxdoTXW({(wRfo
z2(**kDV`!KOP|ZSq_NU?4q}VGR=v6i@p+_CMDHGEDcG<|;0vXjb?x!E-a7AmlJJ~Z
zRpZ=LZLc=dA)o(Hr;s$l?rIf;n2G-FI(~DhDfO$cvf?wJPsfDW?!1K6)DWgcsF#Xb
zyrg>bwEmbfk=?4Vutm8@WRMn>BOPrb{!+=pv$}Ri|Nn*i!+0j&!_^)mqvvz4i3wAK
z<wRBlKAYh>Fkdn{P4&T;6%`U923nF`Fa_IQVz$wQX2|bc=r`(7BRk9LriHGyArW*%
zfP;ezd93MjSg4h;r+hK&k^qU62`$9mXm)ZF33YD_3e}GAZZs|aNt9RV0*{h?O?q|v
zkt!H*JMd+77ImNSMQ^{NUXAhWD_7g27cNx1W}i`c8JuKt5cLOG`c5Y?sJFph%u&Lr
z=F;nZ`gHVlrs}T(Q(B;fEm#L5*2OEu2-(I95*#*e;&%vEx=?M$>nSjI@eL(;w1uww
zM$YFjvi*;$WI&^ap=L|LcMtB@wq;cA7Uo?t2TmNcPzr~jS}crsN9eF?w(e@sxQTi3
zgs=F}b2iq8p2n3|wykbo9oxJUAj!lD5TH81<PjvZfXUy>Z9UYYvH!r3QlJh@LWOhY
zN%IREZqCpzx46p{PNkr|BGHVtPtbaHZYT&aP(#tJN3-k+yunp3e?pDB9_SW9=4h64
z(I&PzlgzBzf>G6OB8@z{_Br=3d@bwR=Z<1!-GgkGS1UNS-!!leJL)tEVSGrG!py+>
zq~|wS<FrHIYHK@@<5@|q8qhMzpCvy+-u?*VIkDLHWx3}nIcV~mK92((Q`s&-*CRU=
zC{_O;l?Im%>@Sylq7!{Q4RbeQihu;~l$={`9zeT7Yy5N-#qXjVx}M}u#qp@@hoM!O
z<BT@!68H)sU+~?}v#g_B!WMWc!9^(p=1=0~P`Kt4!5O@JO<wp9<oJn$Kp_-}2oD#G
zB_wnIjI=<w#K>L(iGEksxasUlk5%{np|F24O>w@%jrOjUC$Obcu<w=!T4<u^?R5nI
zI(b&pJRKd{Q)<e$hJX*NQ)!I4)gM+d3sNikH}njDrNUA%FQD_;KYp5t3hizIaj4&L
zf%~fotMNL2-kzMBodInP$2-SKzp=d&1k_`{U{%r|2b?6JIR}cyq~!CQ4CiEs^0bpX
zM3sMzCqSBdo6fq{l5XAlt#9V8BY7JVaolY;(*+^rJWPM|+{dJX8_(Swtlv+XUb5jc
z<PEo+oZR_RDc6U=C+IQFh_<#iDn`crx*ZPey+hmI4Lsh}=o1OM@e49BKmB$AWzS(3
zIBz2p6O#v>BiP59&V}GlIsQ+#9gWmr1rQS%VFD<u2eL04eXL0?SZdmtYr;h{Q}1g0
z-UL?Y>wwiv3zdGG+qxfH#<!_Fys>eV+=>#Uh%{XBax0C{${6fBuu+g2#mn$vc~<7*
z5lV1+7CQP$h$w3P%|iHVNe=Y}R}*WqpjK4kToWp}`I(yFh#E5P9~yZdRFTK^7jt8R
zXs=xuLq14pjR|?7<=w(=%~67NHclXQcm{_HjMT>h$bBkPvtj8<EI-_=heY_`=NEN*
z=2h^mOBpBG>m`HG3?^$U;jZrsk)kYCY94CwP0z&AJ_}bZe-@@g0D`5z*wu3a&hdmz
zir6K_0~;&E%h8~d+@v3z{g5jRu^x<e)EDX~u8zg77Ss<b+p?aK75NHhwXTld*uY}^
zz8Kn#N8{;15g(sUJG0p3vI^!)jBxeh0d4-7N6hQt$k6Nf2rC^XhlCRGzM1cft?Zn9
zVH$SC+H;M8Aw`H6ZZmnzc;Z7dr+01!HDf{;ry+WNev!gpJ=BwvF8oAz?tna`vXvrs
z8$J{e-!a~?)kO<Hn~wb<FroD>!C%A?;<aIQcVi|!w~=fG@MGJY1j7BF;8p9GEXpRQ
z{~%^y@muvyVM`vh7mZ3MFVrg9&GZ)H`E+9|wVft1$-{iA!05v+jj(s;_s!M*SQ%->
zXV^dIZ?an}Uou<I1q7-2a$8x&EjEl9TjiqixS<lvI7!!~pqiNFqUEWe)HU{2_YdMn
z+&&J2;5X-61FWp_y5lTs?_Ot@L84ihjWtGzcpJ)%?M+Zb?0Dp*p%8*c*lh)1?t6OI
zjv8+f&$4I)L~!t9C*&;U?EKzn=IbFFSXK@sZ|_~_ND!)3o;{qpWG!-{$Jn~ITr&nr
zYv8B6HDEVAeM!=h9KD{D^ZDY8O?a$iUSpRg<ah0lRAJc`5bDZ8T!nHPgQ+ShVQ6$%
zo2Zi4f}t$|ItL^!F0Q?wKf4zfiA20EKE0u3T21;Yyd$tRoJdE&WijU6^AQ-zJS^<V
z0L=2N-KPiFldS-Qz!~WP4=vCIT5<2du|G@ub5li=_=|XLlp1N2cN?}6G?h1)QZj19
z1H6}$CPUQaVjh^CB~uS5<N1%N3Lwa?9lZZh&+Chm^%vN_EWdT!6MQD-5DX?JsSqYW
z$1Gp}(SmPbzZAt}C{$x5FCyO(`0jfxMQFuph!FaDBlENMwx_+}sn79{kE@LaysTG-
ziU~Ld^_#OyskROhE~?UTi%#!w1KaNL?Mr+IvYv9kD-}&F$u>>3=p`?hJn&g38#S1T
zj~a{!1iK^$qY=nuxH$%Pg(YvGisTLsD~k8#I5N&B`xeu4qB8xakNhh-SSpU!o!!DM
z%Q^l|D<4Gzm4!fiR@Nm>Lc9JMUSG5gr9)Rws%PJ*Y#^=qfI1M=URITu1HW~+0lW9T
zMwI!DYhE60NZLW%T8glLetBdoFG`E3-W6ex(wqb3ZpX~)99pnWLi6JFc4zwDk0EM@
z%ak7otk|hrZ{FY}M2SUl7H)3ek|SJng-1M!OxD_wN9+1v4BC%kBxLwETG%62l?4CI
z-BN4~3NZOLE#>+Tb?%zk&`&X#$lR0FYuqGp(c-G7TwP-H;DxzF%p5ObxyBf|ds$l&
zby8JxOe6mq4!?+6oYIU%_S#0NgHEcNhapUo)h-M&ma*I9AA*gn0IL%SZf9<ms|0!b
zpv$?x3GmKrW#_U;BrAI0XB2B3nX#4B{O;sSq`TB>K96#EektQKb$t_YmbK#j{=vLF
zbBVOE6|2$#({;aLu>R2!BgH>>7gDIdbDNmT-{pbYTJIsj6c>@!^hi`0+#x>peXV)1
zdDG+KR^^{=R}zSv-F&So!;rFG8A?puCj0R!SuGsewT1n2w}V-e!C2B}j}x*kRG$y3
zo$WiGUS5J-Za(i!gne!th5er%I^2JwcdDgoZ6d}qHG#)NtjS}k0>OL}wr*oFx{#2K
zwsuBO-w%R;-QDW?h7hSl3&+#Fn5lDov-_f`X1XYGpU?*#QD!If$7-_~`HSNtq&YIG
z>f<lyrd)~ypO~Xj6xa&Z$(_-J8Yc#C9N=^1$UR(t{)`1l!I@qh>S((;im`^?Qk{7U
zC*<62j%~CMOcrppq7g)UE?xET`8O6ZGofjLE4yzn4K@}#(7)I&!m{ZwKzl9(@Hg-3
zT^#Sg%^CW#n;pChE=>IeYNq6oa7WEdiIKfN&fXAp#J~exvORc>L^&?Ewv!cvd3~!0
z6Ov`sj#Ya{lO;AmL&5Tb4xOdD*yQ-(aeUqz#)F)0q=Biqi*yZDt_qaB!E1~&o7EOQ
zlqy3<u`R;4_9=0`)`WK;`e)d2M_aC9oc$h;EBnA$c2Gl@|F_G%SJGYb;`$lnu_u`!
zej@r)Zj<cH%f19Aap#TuZ`S?L-jeHta!9pUZg9M)^C0b8`3k%AQFTP<-;^6s1IhIp
z^v^b6Pgb#M!MmMA!O~T&`yo!Jp{{$8XN8LTHoLFrPkBsO>qo>TIHYEW7Z+2d301N!
zx3=||-O!f{dIX8-eyv8;GNKhlhwT5to<9_T-x|1-1Fs(MEtUxx4aQ{ip|6pPM3=<}
zgm3OQ7s?sVx0(ujc~{?gAfy}$#jeZA&>4?>exSsX*ubyxe|8?r5<r56^UP(MTdk1O
zx**^TKX4HhR?hCL=u_z%o!RB=6KRfuJ{bJA(u=wRkJjHKB8REMFRp*Fij7I=g1FR~
z6aDl!U*{-wf_PqiQpsi-h5kO30-$TpvJXMr`dy>}#1vqR$L*%q3n`Cg|2FC)8X(KQ
zZ`ZSAV>yB^3|cZuuj^^}u`oUrVhtR>XZTv<IwI~TJW&A_A6xTAkpREey}=4%8ca2{
z^4F^5{TXOTmAdI{0pL{A#(vdTie}#v_;Mo=)B@Sd5O^*Bmg_6=oQ+;~zYR)TVK*ql
z8j5fQWpURZ0=C+`cw{2Yi&noJnT4G30^*`#Mn$4NtvzzhH`p+IQ6`Ulf^KuUOeGfk
zvfw?B@kYBAMvpD4*FdLmd9wgs2N3~X@RJU9b4I*K*t@Oj6*k?cj-A>q;sPhgtRZvS
zgb3Fav)5&RlG6Qpw(dyUCf)BWAAP1|7AC{DcUfBs){=i?SvJOGsdp9ke^tu!{d?*R
z9ve-1^##HmTQ~O)kc3p&MmIsdg^BG8Bmc+#=j_L}X?h3Gr@bkvXabH+5tFgI_t<ce
zKvCcJyba4fNDL2#yhBht3u!v}KqA_Kyo6>O3^_*qwcG?Nq)hg0cuC8NPL$xCvRQoE
zt$oy00?>3vf2`~(9>ffP6D8|ofhgG;%$}Z;MmCDebJ!5SY(v#7R)BHNjCab0{W&Yq
z=)H5ly{Z>VeoK{{vr(KcX54mQdZvEncB)gjXHO+*L|VR4A~JD(v@Fg+m<{ng<;z+u
zBsbB8h-L2)hfxErWApfza>p69D90JM*CgXB4yvbt{9+8{Dv(t(?q}O(n=f_OG;6GE
z!}1^TlKsc6jx!=o0H5ljWw(oW!dl~yi=uJWu>Z5?T&(9cnPGL^QIzoa)N=HzyW+TI
ze3_|#$s4_xCrC??MmTP`%An=$&|I~I$K-4@&|SadlDYDSU}Cm1;eCBBXlK7!)!pRv
z@Mh&>{`MUoMNrumk`0f09BhM?A*#+z!*%88Oo%=U$vt;Q8Q=MxcNchijks(B+1hLt
zG!t3WWPWY1ts@+<asQN*(N(XWChUKS_o2n%7yCUb*^VD!P&4zNWDnn$ZW(cDq_U6|
z-bAu4dZ>}Tb!T|^s83Rscs5vT`d!CYT~dfQ{+D_8N8&Pb)3uytZR!Vpdac1<TUI_D
zIKwlX`V|+#tX-NT<Z@esicvpgi}ZyY^kd7qKr;BVF0j4>&c1$DBs?@_^5ZwuM2JNo
zvk8&9v0x8yV2o!itSr(SeP(6Pr?j#fGIPj`-UlO<|LdFa&K`O~kgKb!>66-Qy)OZ~
zm%oa$7S0X}7#bRSs@Z9)=V@N&STTh;K9fNFcZ`LEDy$#Ar?#Y}V4%W`AVl;@;KXh*
zjb^%dO^?BV^Ljz*xBL|N3a0=dP&=dHl7NgsUMT#Ce;h{Fy~KxSh?~N{95p8C{1)+A
zW#Hd>y~6}%Fp?Z$1b?qJqI!~mJBI5|R-sBZY7bJy%(zo*snDkbG`(O-pVPAkpr0q_
zwO<}m+<|HtouCu*fATr~k}T;ta=zwwkGj-o$K>O{d^mO)1dl#qN30BdXMqsOlBd5|
zgApll*1ju)2}q2WbWjfZecOIV#x{ER4NQ#gZ})_K@a-*z)}(a)UPSR*pdavL$Q1UE
zO8Tn9-{6h9oFOnYC%=;>IPq9>BTj%dZItRrZVoVI;DR@zQX#<kx5yS_X{Vs&3WGNH
zmMo7afuvO7=lhc`r_)UtZC%|?x~TN#*zoXmI#e7W>4#mALR26By=6h$p5sx#4LkQ(
zZo7fLYvK<2e9t^83f7c{k;I+%&<`m48%<Rx2@oDO^JGZv;7|T$cgFpn$UD}BXVH_*
z479cvGRx;(ubbm)!~QVeU;U#lw3_L;te;Du0$!k@p$(0VF|XFE(zAjAsxZ1XdN5Zd
zM&J$-T#C%@$SEwOHq_3{%<Q6zjERn}ww@`)G8g`>f#4t&-TnE8Kr;z9e4c?Hvh6ub
z{;SOki%LjHQcDhfQLvRpR!xd@#FTe^)OTWA^gNQ9QDtsA2o%o{J;rQeZI5V%&9!%M
zAR(m$OPTlTgsUV0fpJlmouevf7P@g=_RE7v63;)`0t0+PDsYG?9U*`1hnKoPW>d>*
zR%PJ#OZ8D{R7S|Z<4fe{zf>}iA|S|gX~5BPNZ0u`G#_5JP@l_~{0p00M=wAdSND#V
z-EJP$<r;?S3AO_0>GJn)H+OF1#Gb-A%m#2q)M>$hJxdX1ELp<I6Yx*DFzYp<5cAs7
z^BnqI0p}MR10%M*<rc2!n3%PLAQ>ekRA_j#ZLJ@v)V&IzMB%S0^fO}rR&sgJTsu7_
zcp)94P{QVP{zWV{t0Sb>(qUw0eJW9#-<*JGkw9E0A5Lls&yl>2<RErAMC%4wTI3eB
z_QD7=GXX6p)1$`oi1XrT8Ooy78bcv^%6XeN3mGi4IokEB_~ufK>Ob#H?eO_?Z$Y^j
zCShXWdFt!R2DF^ZfnyONjxQcU1Z9e^rq~0sT^yoyn~A;I<a+oh@K4#E#Lwz-F!8dZ
z>%J<RbYD13&6c3mt0(2zuM!n>bwv`NK1(|9ipeu=kcra${wS4THbYRC*CkScTwF>b
z<V~|CZ2wM6zDaEc;%TKp+veTnK|3`Y;_u-Hko1>-G5{e^<xgND4WGwRv)uE+++_9g
z$EC1OPKL^y=V`n0lTav&z3Oo>qM{YVBHl#_%8nOI3Kq2DIHf)oy_M@cvJCzs)V|Ap
z<!N}Xs_FT((Jr(9-8E~WgM{@mIxpWm0Piu?cy64#&pgRcsL1?**rPIg)4CpSQcWws
z-cD<589%VvvPuCMeVobwfq$ORXlHpQOh@<i<M-Ej!rKD=q40BI>Wm@D$+&E>&`?k}
zb}NcO|0@d>`-jh)K8wir#};h?`V;ZKCMk!T$15><rnSb8&2wL<jaTNcCO;#*nsMo=
zS7ZC7QfcrH@cn}sTArYLI!S1IW3M&dNsV`5ZU-FN-aCj1wTf1H!Y%%<E+(8%tW2QY
zaP5Aa)WFC|`S%57VJ-T}{$=?_?ZVGTO=}-N=)Y1+7j9~5l6(F7^>2`K@?^z}%B!rL
zP&`7HQB%WSTwI*|{yiup1Qu{3eWFoJ`8GHRucM>$@&3y0RIvm8f2D3JQX-_K3X{wS
zp6jk5Ag`3@(2HeoDwm|t@9fhdao@^9q-<*`2E9#>=O%2h|Cx>A--nwo_!~KkgaP-&
zs8+MP57#o0u6VvKa`so!fpJJt6@RMY6_~%Jki5LbOL4A~I0f`Z)^vdQ);$OFj|A0&
z&jx<J?s_)a8i@HUPaWbsH$9ET=dk(@80j@w_vhGj0@h~LI!iFwZzUE2&XKdSq6fxo
zBRLBb!8czcPr9D&kbz(ODT98iSE8a%iTCt~wBWA$<F+2rg>9I|5CE-^LL?cU|0M!{
zLdogu0Uc&lC<-&1NL=y#r&(<GE$3zbU-V7EjYT`R1}OE@fe9+GXe+$yvKEMTBLsic
zQE9h80FM=0M$YMe^0)bNWB_2M(nSbY(Hc>l^*r2guR^KJEKa3pC$FSuJkt28uj3}k
zAW)R-|E`u0P@n@MA{6q3`M9~ai(EasVMG%9nH^T!H?#uk{I#(9cLbJHK@q<qcTc*W
z2iiT)Z*UJ`=Z>d~kOAMPXsh+36uVQ0ad#kaY2F8`9YSmeOvt~Xc*h3ukDmEYzTvWf
z<=m|iSmJq!;^u?7FrNo{Ifu^WKCJH9<#qeACg)c!5q&ftYGSbYXEFe!Ef3ocE7*fs
z;(YNA!<t9DN(SFaY^y@QO*QczJ<vZb2F^nFa~gMVAxpq-G`OKG#yb<{=O=jk_HBq{
zaz!VI%Q9AysWR#eu-<i#jv~`3gZetWuRo`y4I!T<+*L7pP8^5Woli9Su{FE5xgR+`
zKlvKo__H3aetny*J5Q&#A?CO){`*=&RA2sQWiA3*e4F5~<^JfGb|!_4p%UNU-8@Nh
zZgQ=@s`#ka(%xTCZiMM*&0))voJXxHwUrl!al-)d@T2}ud<0}tHlvNZVV1r9_lObl
z=x=>fw^VMF<;QPf0zmh8CCWKw_wTjRoGw$mD$vrr>ERH6*4qh5U}z`<GATGm4AMkz
zSvHZbqM@lN8%HMcIXzvc{X@D5)7aML=FNHU!om(OFYiO+&R6A}0k*CO)ppP1VV8jv
z7Cj`b^*Zhk(=e;6t4I;{?yFuWs~yPq@0pf>znrLYtzwo3snI7@(fs+cfavnOZu}*U
z!?p19jgH(TZ+Kp*)=A!<>NyJkg58`p+InZt5Y*c8ye@GEMmRek_+gJqfy*dSXdl{1
zOc}2qs&P>Cr+0w)2Q)!|zI}mx=ufKVB_t)s7#Lc_70TQd4&ZwzbKM1E)Q5$t_y>AY
zt=LML!PbG#k%iT^B6xbfhLi$jNkkRVzaK>~r8=_b#P+Y{7MHyI{2pWt+A5$>Isuyo
zs!dwJ$Yss8-?Ia#3?UWr)IGqd{Ws^|qSTVlvJic}z3+Q$=1SDy>E332bLe{1Z2w7j
z3Y-)V6f3#78$YDG_j;TD&yUwg6&7qvzYE96+#h-R_aK5AY-0%c0iMaHIsF2`Exvne
z6PUUql=7FPlOOt!Y=yA{GvBdcq?{pf#Q8}sZ{=WSUa?7w49PkcqF5@Ebr-%QH7REZ
zndYM;5RCaYF=?bo`hr#Qzv7({Y}6t1dY_6!Ux+lO!j%H6q^H?X4#nW(i!k5K4f33b
zp&$MfDP;|tWY59#VPce&45ZgklGT=5&aO7^;ED8OzLc8>v3^JE75bUVNm_HB_Zwm)
zF-t>)EfeMd*qxo7^_0|5Kok@dOcU|u1<Y_7?VjnzWs8F`#Di6WY#5Ee4*~+hO+HYS
zZf<Y$bm}ZZ=4NMR`hjBVdHWzxT{r#s_;{QA0PCx(qq8wzV}_JnV5s@OVx~~ovTP{v
zJ?Ehz4=Kw*nz#=2C+QUgUQ~m1USp^MutAKBjl1zqsEBr_JJ;@*&Zq82ue=g7JF7B=
z^G*HnLPS~HDDgL%h>!k%3XTNE%wI@g0=K+>4ygX7mnN2v{H8(u6^25dxjr%K;)VFy
zR2_$14PA;~7c$e_NngT_4Tt&J`;X0TpE`;t)Tt#AsCBDP*fBFJizq0z$Zwy-xc<@z
zYYH&oo9e5d-@mHp*UfC867z0rnLXb^a{4p<v8s%^2Br$+*7U~5?{c_5U>O3-Ex_PG
zW8{1=j=Xn#yu$I`D?t1cu!|x^o0v?0CkD5a;<wQgaw5$$=MV&kia|gyq^w>1KhvsM
z7?O~3PQ)>V`AeT4bNpyLj}gx~#}^iZsZ3Hy4SvxJZt^={U?oVjzMh*x15YZ#7Z10r
zJJ;O?MRzA8_pATt<$cS)`o!-%O==T{oY9|mAvAj;a)mW_FRCD$24KNRawKW|$jhr3
zoY4u@?=VLoB{i@rE|Fv&sT%x&YBJ}JqnQ;h(N{OOQ#-0G@sEZl3*r*+d3x{!*f4&i
zMu|F-mX?;`6({CXNl$8n+0nwj^VJ;`;l#F6g>Hl6&Is<)0nIxg!Lp?$CaBn2U#|j%
z6TsBXlMS^su^_uqG9n@*WaOxx&iTfh$Gb}@FE6jtU0kH!h48H5FQxiR+EXJ_Aj}_H
zp2e@&QRO_!CB*pf=XElr<kV0{un?t9Iix8$p1*2ShD3&vy(uT1`eDb6M}i{ddbhSC
z_*wB!TlbgUlpuIc0QVN3l1j41X&A@V_9qN7Hgs`Wi8v*Ls!asVXZe}j5(hY&uvtgq
z1|shhVJRQkpO6CoKc*DGu>)McA7HkOCKbXfEiDakPL9|PfQH|k$QEiBw+L+Eju?9q
zNgM#2*i>tsmS9l(CpHWSz;qrK_HCK2rzcdaUVBdbIy(zYOvLWmZ(k>y7ptoS*VWd3
z{Ask<f#2?bMG_Pg#9=j=>yeP*{cJmWMJnX(b49qHgZw}4$;f9&$gpov+8+NywI$sb
zB~b8c$9-O6nUKDqyNtIMy6aCK5-B>?-ZK%=X3T4c!ri3Fu)zNe4D}>o@Tgv)=rg|0
z$#VZdLm7v~HofclUdUB;tMg@wkf8ff6j>0h@k5W@ydMXgNu2*+fwSON`^SHx;Wdbh
zAuA&z@_41~ysQuzh6#He*y!p8%(b^%?cb-TZ|Ww24aw&-%9}YO{~g$)?_ZTMad3j|
zmKyV<!q7snKoMrN8|iN>tJv&j1PV%bZh_4#^09O-cwmx!f_NbtLu9fulHBZj&r2r!
z@zdDY8^44XZG2aB*ax;t9<<}vhYQfa4oXkm1Trledpa3DzE-JE75)E0ol;@8F+Jgt
z2U3pVpTCfkyXojLn<U98_;=`rIM-4pJ0Jd?Ed6eqOSC-=sRbN<t>1zX;`{^Kx)t<0
zXnI8|k0X2@m{eUxPHfNrPNHOrHP5n6!D7$f=H~DXT3rJ|LkEP0OABE{L_}Qoe?;Kd
z04?fZJe8c|{tpHcF~2OMcOovkZ=S{+8)sUynf;Wr>W-G!^qaqp{+!mV<SNw#aZyrH
zaR7R^AM$<RIasH@zWzo5hDtX28?cB|W6}#}yV_0&0)ez^-y_n#N&6<o*Qg;R#MQa(
zW{dR_h!>4}2#CB2;eQmUQdy9e!G9K&WLj_;|35%S2PX7?IEDA|@nQe?%b0+Wu%iho
zbNGED)=FO=%+=MEqpPblP&aQ_hSRCp7&CR!J^@dh&mSb1xK6I;_DD12(#X@1lS3Yg
zLI@=#)qA}vhK#*sO9Qw>c6WE#d3bi7btvP9hClG|@c2n~1Auxu%GQO`rCtQcGLm^d
zEdNQPWH>x0G(SHF+|+A@%MX`)+olYyNMH=Jllk2n{R{VifB=92z%1Cp6~<ZeWEs1p
zzdR8~{PcI4W6Cl3^iO!Ig6fhtY(u#90y=zdo&6ek5_|jm55jt+z3ME+tBt#%{Fppw
zW5wz>fi#r>)!o0xMmS#Uit{|*&2!osc;LP2r-SpMKNR^<q88TW-#8<*wAoqu%JXfW
zN@vP{lJxv=VdYWJnBpO;!=*+{u3gsNi^!1&4ef?O^gNxjYn9o5wW8llVT2aEMtQm8
z?|8k7T5i}V*(u97IHuo;K6oq~z<jQRc>V6`pXyvB%(i~C)b!xFYD;_#*!c>Ky8NtG
z+XcEdGqNG$n(yn_OU5+KY^<$&CMM91kB_yR9VxoJMELkp*N~pnOcI)W@2?!4oHlwV
zbgGa}$6y589NbfGfh}fsk7NC(F?ZVO1#8zv7T<1fwvTAGJ)eStpn-L;&=R$;n|%@3
zLqkK~GWj&_C9;2uP`A2&6XX@nze>*m`i-GLtO@C1ZeC@#?`}n!l@-yql6ygY@aL|u
z+P}V~|7(X?y|V&(K`v8$s*07ej9{x->!_bgP#DjfZvSz;4Z>_lOCt}bTZ0db`v4_3
zU8ps0SFwO(fzvpGj7%mbo<v=CQ8qU>e;rhH`Axq*->jai#a**)5LDFF)lJ{_mN{K=
z=%S#ZfdxqHe2WX6|L!edrR4Cva~;dzi89LTv|kZ?(!UN44hH)@<G%cFL>)+F1e@z9
z$omk+1z+&@eI2CYpuz-Bmy~D7W7&BGG^aQdt9wBeEwwOfhIjF=DX@@o`}`-=1I4KW
zY9j@?xf}8-3I^pA^@xdxi1hUkVP3=LD1>}2ww90s<0yICeZv3K_iQr#zJH1fJGY7?
zS6M*=cp1(-vu(u^rOW~B{+9YQ0T`4KIHmg;lRsud8d=MlT=R;GV0m~n<ooh_3|y0g
zv5Kv&q~<EAEDjN<0m9pdFA)<DkugzCt9bnk+?9_dV`l&*W0S?x;y(1Po!Pdv@t_4X
z=SPpHNB=|N>(apgewbUM@eodG(KvDWd~*9R{oWAbLC3udvP02UXrZ{HfhQL^$GZvK
z8|m8(KWpkuE``EWJU~6WvXKskF*_fTArSTA3{Ck=(JR+IUL-Jf!Tky+GVhCJKr2h@
zH?uwUH(6~&$eQ-u(>!|Bjz6v6fP`UvTRkL#1o0--F{KoW5p5tZZ``|SZH0*ff7#x8
z)BjhO2jqAO+Y@RIlO>18B2J4S6B{;%<N6DJzWR_a(g=CdsCOx`R;wjqaDGDQ-|_t8
zWXhUMhZ&W}(z{^HWMiZujVvZ+`S2y$2<F+kj>kNhYIBa4b<fC!?;q8Ae3L}}LLU(W
zIAS06zav3*X4HicD<@>*_|av)%K_G6oG8Taae1;*3Yq)EEXHLv$@+ZpOQHs=SYG?e
zJrQS|FI74*B3i8L_RiE;b>=h|w{CL4L<fEE%QJqw0vHqH5$35MJ3W#qb;9&c#Y3BT
zPkgYJq1CqyFZ1nPFVi6*CD|kXFrojJ$(2o^@H1OJR?f!m%8SF*GZ8pfdpKVu(lp**
z-|AQL5d5FuJ~+>@dH*Mln<qk^!|JoT;xBIGU<O5#s~VbbLI*a743#gew_dQgk!tfC
zhfXP?uTM5uEk}(?0(044uMQjvEuJF!2CFbgXnKL&%o@|D_x0}e!6_h`jBA5Wc7|~n
z_q9IzEO>tu0jOb@{1E`7{}cC$RXst8;d|5$B#Uh@1@In{TX($dypzG|%%AT`di_)0
zVTtFLB1$poaUUH9I5Ev`Njtv6awZ$Pe#DjI@O;YqEswp)T4{o_kFm=&S3x(RJ?R_H
zO_d*enEZAqChwVmTIB-I(Of}FP07HV)zu&SEl2EEhVp+2I^|~%y|=_pHSgxxy$KGZ
z>+>9zUKY$5hA8)d<%j+BB=6e`&7T9(Zlp=H#jwZiF7iqo;*Pn{UEH47KBh6PJ-PhB
zG#LQV)dc`2G#kT$LbxJwfd3DrWrWtygX<0_I$jJ+F!n2^JP|;Lzxx;Si#dU74<5Qv
zoNs=Qu*k0?p(T|rhOhT3si#^~q<(K1ku2!mY%-04K)6=S>+(1_Md`@6ysRhZkzQ4E
zYmrBMP9f@-lp{fcVX|XP6*n#|*k$b%FD=O^-9>OirQn;aL6hDcc=@4+`U-LKFObcV
z35II*RPjRlSkbbeconpumOo8+_<rAS$YLwNOmIYRlI&Q=btPTRYg$jmiB3aV+<}-e
z07~8^`ErLBOwf{mxKclY5`5)A%}`GK9RrWr@tXXb*zQOZJLAF<w5XJV>fr-{gu2(M
z$L4<o8k~S_fp<Hfh1vA5$nQ5FLhQ6VZINVSeuk0xw&vG)%en6FB3=7+aD1GG8Cz?|
z{d#;)B}%1pe3>*&rFc02^0le4?e)-ZSi!b5+g#07N>2=*hfl3>+49hCbix&mBO4eG
zrf(5tWTXMbr&CEuPU9Xf*Aa~hr<$yEk~Wi&8#(KZ;QtZdemB?}G{60`y;n58laspe
zBb1HP`Y+r@W%opU$!5tH!?yU?Hf3)}Zw79A*>=$YyMEvBd0VwtzqG4IO;}|q0#pFO
zKJC>WuM25qA@zvCmW>i1k&0oGIKpnV@`O~@vSvijN4vy74-_a9j_sV|p<_)HL`A?Q
zNn2ZSJF@xIMK&?~n{g3ra-h*>uS3yF?~}nhw>l1!O^gfDNm2uES6RC2w|j?ExFT?u
zz11a&H6NFFvrw9&ic`5+byb0R`B#zAzJ6b(sex4l$|JbFjvK5%uF+RrF3&wH28rw6
zX7u)FkJv5!sj;S?Qyi`de^a7hN+9A&NfIFB%CFyYVu4`RdrBJ8I9rKzc^g9_I%(CD
zXfPtAF(QNYr7<G<KNlBEfT!`4R=iC12Sl1LU*Qc4ocXG5Cw}xt_G+v|##S@a7U1n}
zkHVDM_GAtW((IlYA)wWqwL0X067qf6xuXYHufPJIvN5v5GXHTykTQp^V=eT)CA_r*
zu5#QKn1e*NRtTDfcu)_Yv;Cotzuh;b(jW-+`W?F3WNjmFpCk=EqK5HoEgc?-aHw7_
zJ+%cbg@90c*}__dtLde;vjvnXIo$emiyOiBI!u%wGRqKRj%bo4ldBD;@Gs}!TlFmA
zXXuyLZ_Pdq-c91{7wj}=Hxrz@5N->k;(KsR0vcbZ!n-*;)OOC-R%-t@gVSIEpASf%
zZ0#pkq;VCIFE%*`7e%0{7nz3lQ-<GgOi^y-m+rG0%k4IM89y*8XQ3iX>f<R~<O3P<
zL``bh$R=5*>xHq;+x=;0HGBxT{dv+L?H6>&cJgmBOwLkX^mTk>ncMyU;36xj{9~|e
zRtTgP(`v2{Zjq4^At@Ncr9ZbZfa1;AxQU4wA~KUpTH2nJq7)LQSn*dB(u2D_-W{PV
z1av9WMxV8$>%_e#JUhF~+`h*{g-d4kpYP{|FtbU6#MeTsn0NhH`x)6C7N9{|$0L{T
z?1$e<YxjL9*As*y%|6=TG!ud%qits!Sh&htjhgC{#D)sM@M<73TkUsDfEYRctq{Nt
zMJM2brFeq(S?VUTrhI8+M$C5{88XO5v6<-ZnLzQ=lbtnNA0^IWS7mqK)tp7m^~RlH
zf^I5Sg88@cK~jF*E&61Yq!l=MZl@Ci{=v|h=i+N+s8>*MuCL>))(+hp{;S2nrS$%#
zzXkObFfL9WInR18O{+gxiHbc{)IfUCP>4a#An{5ww6&2HMM=rT-u$JapZ*V&fdQ|{
zX_aAOd|ZWGJ56}fQ04wu;wFqlg+x4LRlq3ciN{K+51raNfKj5Iw-VgZd{vEdCUmc*
zuP=hr2v_=9x4!4Xz$DyXf(g)hi@ktL)<7FRpH565jr%-_tu0!{M>M}Dp+o;kMF)Bp
zEoOuFJ<OL1eKc^8Q1$iL%R`|WXpkPB$=Qve)yh1PE~6<u1LCWhCfP8D)OB@rnCy_J
zc<PXo?r=l9scI)^?vwS%WJ4KEC#_mxWlzEg<hH>)Cp%yIC}~HM1H`T$n`gp=Q%{*3
zlPiR8m9i!qE&XlVv1Nj)|Km}#3WH<&ZZA7j6txHg9g=cQ)zO3I4ujUVOx+g35)y;c
z`k3bV2T6BzRq1VrazEsp&L0u$1Ltzict(JGFmaB8$~?du^>c_>&F)ZNeJ3`YKchd8
zOH-aw1${e>FywdJA-Ha>Yfi_A?aRU$;xxm=^1z-u-nsOgKERn+?F=T4e?sur4ZT*6
zEn)Y3+9&Vpmo@DV231eTOZJze$~rW^>;k%+p8a$GSKc=mZIG)#kUC62E$`y^g{<q_
zQ}@5K;@?hWw=@0Fo5HgB`u8s~W;lY8GW+OLB<J$cGCYnV-nm$qEx0Qm^4FllPaF-d
z7U=!zfcU&2TEjomo$r>{L&_6>Q4%Yli<TAXD?w2-XJDiQfTP&N6Z)~CSY$WrW$uWt
z|5zsKz-A(1_-lVEU})w1BrZMa_QugIxKSM?=&l1eutAF2;(==IitE1$xT3;aPSb=c
zv(Z`!E7LM`1}$nNb=1juGXlUa6t0-(;UvZbRl~M<Ye#u&N0AduLBEJR7+3Ml@%rw8
z(G6hU85U>+^``j8qK`>497YbRAlUU<Fd|9IM}oo1?12?{nTh;zThAv-l)<@+;FegN
z*J}uhDUfCOi0#47<~_IQHV75J(-zbN8Sc_z_L<CIaT{3OFdubEKZF_Zs1C@`{^Sr`
zTJ1(0^LQ=wS$)7DTa~kC!(|0~E9_eK*<sM^bV8(=h&bSVOQXJTDj96oy=Aq_JybOL
z9DHSE#bmvw6u0euFl~iio>|o@0guB=-W-v*PlKmLXfXHW#BsZC(X1xNaJkTPLc0!W
zV@Y)bhPUo}#>WZAGlaTJJhAyb_QJ`iWKCir7FkGVa<(ZxM!4ybzxiXBGMA(Cy=pUm
zns{kBT9m~jhwr)D$Nnb-9nE3rx(^Hfl$?TaZFA!?OhQx$$(;c|ss(oSeIkBfEvEiE
z_?FffK2L)9@z>iE=+4*nOTWe_wd!qb5TdPI3dX)}-^e709{O4%KlEnPIs))u^ij~V
z-~>$ZIbJ=`juCt(bRXEqKnhmjC=aTv<J*|6Lsu4l(EW`9Gi%{7h`sv^zQ!diA=14h
zO5S5Vt=};bUO(cN(7YA)iGm0F_jP2>RXggV&+nB<6qZAO6=iayJT&^KvS~B&cc%3Z
zgEe$kou+cy>7#VDF@Z%j=WSCZM!i=W;AL|N7LE-nA4-orkqhkuY*>CyJa>)kLE+w^
zP!UA7y4T%{2YwHc*tc^kH@_^^Xel|U0u(8)qoaI|fY)F#cwUdKIY9ZZ?s{Lpx!wG?
zQ7&-aX+gPW8<WLWv@^_&<R0IsaioI+;iVhjmJBNZgMj;H(!&@%j+Y3Y1Q9pU?^_mG
zf6CBT8mvY$P#J8f&ym~-?yJN{Qs6k}z{5ZxNSo5vZDpb;nVc+R7HHb{HWXS>r>a1&
zuI{2K(a<0iY3}hjkm0eCMbDyE<PKgk0J?DBB?AT$MS^@@X$f@VBAO$q2zJ}?4Mk<}
z6C)!o1Ngi1lk~@5q+`TC(U3`T!;^VTbiuGIa=;oExM1F87j5D$cxz;ZUcb|moNhwD
zTUJ>)ns^oet=m{GCEg}6jS@H6BecB;YYvO_KhjJDV?0E_soBE`v6Y7>h_P!^pR_^$
zZoRGGt0Nx`lEOk!OhoO_=OnU#wre!giSSwWDGW&k`Vc2G59UiG$+NP}qpr@RD&c1_
z;n&ZYd~Z)=b2Qyv;YQ|_+M$K<`m);&2$nDSl8Naf^@S_}i%E1)kgEI5^^Gm<&i60x
z-0YBTq*y9xaV1AvNxvMTNDqDQ`mEW*^N%S2CIKRyEOpjiIE0btL%8O<gq9+Rg^&a@
zX|qUd!)7Sg7bV>y!Fx+h_4C7vxAtTRiaeN|@317thtM87mjb-OV(P}Kug3wx%`n6G
zhkpMy9&3Og(pxvq=xGPFUT+YIG-Ei<Z&;|``x=U5CnSzlMZac{dGqys|Hka462Vd%
z$D7L^uka#Uh*pV|+OB$r($(0_HgKXzmx%3%^rZBZplYO%44C9D4BAoo)V8)YbJtd9
zafuGOl2wp-FAsVKUgMXR>Q-A%AwttC_0@-bXFpytbhNiZ)8I%vH?>M%=rx<Q)_+~z
zem>9iTlrFon|_WF(uy^CKes!%1IiRHMB!2LP1Bx{>5yfas@L$Yw_SS4qT3)r^;Ndm
z+#Jmg_4qalW*I{7_T#t_CM?Lv=~}n_1PlnzfA>#t&-AZ;adr}KL76F;1GO^GYzZsT
zgFI}FsxeKzv%}~8LvY`LWol1HJV)Q_*DAAh5_6tynCb&7LDr@tdH}@x25pDMIr%JM
zxjGty^<LD}64hTQnP_}{NyKdzvs)qbt;Nlo+vXTWF3gLai#Is5lrtELM&5Nl4;+~I
zEAl?QtZQxL`Z@i-m@y4C9ig9A>Nyv45kNf^fE;sWvM=iMF^wO(lb4nr!$fh&hs~45
zwLsN1`>~kad|RDVu~dhRK?Vttx=%4V3x2tGJoWNOs7VT9*uieQOY#vU6!uB3rU)&6
zxVh(cewSl!wV$x!K4u`rh7Th%KKQ0kalX+{Fcj@D5-oc%H``kaC5@Z(fNfR$P5c7r
z@S*=(F0e9aD|~nL6D2j4b-BUYY;4nf-v6F9e|o2hO4-vDUe0|?vdW&->U#?t9*Jno
zCwvYBB!Q5agD=LDpIEKt7GOz*y^QC}J?EW&at4C>Qtwa_snFM#x+@*+ze63hUiU3#
zPUU#)3h3!1d7<M^*bU^vnz0*;Yq>hxMKvya@6WH0`VPkSwns>_1FsqX^g=;eLY+m(
ziGdLZu|M+a$C%!)tX2GM{fuvUctR)o-yT`%B~}V~i5hHUQ|z*)%nmvA!5_apXZ67y
ze;eu~-B_L_v=0h3JLpJL?UY-F4}+LA`$8~gD>I@gq+0V5Gm#ft+yV!yH`1OSWwQ|4
z!|0E_HO~&zKI7CPC(60X*rZ+&@LTe*Qp->>P+@u49}aBZQcbm4e(lLgk9WZ{Zo|J8
z0Z!e495JE(;|z!%NrIH<G}TxXa$TtR>x<9^I`tmU<6ykoWIQ>O*FR)nCOv`TQbG(i
z<<V|*9ULR|c4D|73sjZFOd*O~mo~at773==66#Sk!j;TJ@N&~NzC%yl+24Wkd>ZG2
z3a7y;-kS>@q*Tu8@+W>$==SlaK=g3DotE`ks$jitkpk9w1#K6vy7v|NFpVTm>OL}R
z0{aENQ9tm-x}UE!#)uXXEfzf!DUy<4Fe3XfqSitxe6Z*lPIF}Xi5e#D58bm6hqsSw
z9^jn+g~gFnh{CV7W*mE^v0P@=KyeLtmO<v;q8kM2<RV_66sSMYFcU8k$+qgUyI6;D
z*j)Es??B%+-YN`-%c$%L9L{s17sy=&XX@!SyIRMwKEkap^^ZEO@1h2aC^EZIzPH}x
zVJ6;)Y_!wMKPVpN$H5wHP!iW3;_&G*6^6TTlL>pvy0^CxAo1P8cx9Li0hlKV5iz7W
zr$U$o{Hbo=39^!{1W1sQ<c+((+p%U05J$i?a!@$4W{D3kGde$Dp~0-T@#tv+88#C>
zbE%HhteXB;3Z5wpM-Id{JZ=~#@KqOBuMw_gw?q$N!JLI9WMM`SYq=X=hp06Z`Cz|f
zz;tFZSFOdyNMDbE7P81|vZ2z>Bo<ec!W}Wi6#LkxSzr9&=ePL*G9cgjTV39W(+we7
z=~&=2zO{o@V>x!yWZ|%Z*pn=ZV6QCB2Bqim{!piWa8H!1)K;CE40U3GZw4=avSFwR
zf7=owwe;m%MG<NAB`_hKU@Dw%;JJu?_qB+a)<NWx_lMIHBQ?N%zk3}V)5%C}-MCk0
zOv8I@6xn?oWAdRKRih-BX=GkAX+-7wY)HDVlxsFWIsD0r%!Q(-Le^dr8mrsIE!10?
zHLOJCkYokWSH}>~v7k17&l@3>ldb612BqAu1@ZpmP){Ne^Y>bFpDJqz5A|A2+aZP@
zY1)^Z8F{uiEr5N@N=_!~s0Y#NZjs|l$vhamaoG)OrmL0%880>oHANP`b@eWH?6EEa
zR)1D6FP!65q2MAeuRIxO8-kxUr)%gO*S5j>Q>EplaCTDI^SmzIlSK!Pw1=XbTsvCo
zG^;wH6PGa*c*VVWqXf2{_4uQZOS$t<&4-kHRm3ILr29?=#k|T2`0tCrj?W=fR(J&C
z5_}dBpf>!oUJ0Dk1j_Dx6BjzEYN6+$XuRS@jYc;(Qt^v5^}WpcLuZL&NyWsBnra&F
zelTHMTn`_QX63O(q9K);vf0M^z@!$o#H%UEtpFECTGoA$n&-D5f9SkgGF>IZsDlU@
z+OV^Di7QTm)L3v}T@7a^rhKmD5*D^QN$=wr)^Qz_>c*L{*aw|13Pw>_I`pIdzC7Ql
z!cNjR(J^^tU(xMIMfUax#n*;Nc+u=8&F3l0MK<Gv5XH7k>~GPw6aK8hm0|-MqH3HE
zHI_PJ^O=r3@d;Qzl(N}(e(?l<P4#t>JsTysfdzGMFwr^gJh8wGQO2vZSDMa^y%yI#
zG`C%2$23?H?CFulC$gSycjC%JFfBpic11Pbn8XqJ!qy!xzJ`S#RcMjbLoes+Cz+q8
zCRfhyjp#k=ALSln(=Bg=T{_(kym>cERYMWjqjI;J@rUAFyO2AyJhr_MD8cZYfUuCY
z-yptx88F{!FL2l9A>Oe#%g)UmT*<0s^K;+DEfq6*>>$_g07M|@K!^6x3H)?QuHT{2
z&es3Obo;Mt3A~}=ILN#p+a!Oa5h*EGv&o@mjZOTmkH0YI5a(um8jaCp4Z9N=mM5AG
z{)Lp8o^LT@)GJlZkk|+TYk?mjQoUZqYJ*U4t^1!HVGFcnpi^RmOh+1n0R8Byqg#L$
z-1KJSSSOK*Ip%1p#m1YvhA%WDL-1mZ`Q2a*841yR@1j0Bqv=&AjLKA9=za9ejo*=c
zeX-dK7E)S$yLVN2RQoe^0TBUk9tJcBeb($Y)41oc2EHc`GKL`V0iulvZsjlT0JX42
ztEp)`uf>c>z9z{P+L)=a7DS>SRj_7_mo(V@8M0RMHp1?!mooY_l6+GREQ^c#5)t<c
ziTgUn)5Dy=^bzTyo0Mdc7m<`WT}p~EKsv<x<O^Q$kqUZj%zkf;iNX9VZxASjvG0)C
zD-Q<_s0ihdm&*+E)?5d8yyIjqnqpZdzs<gw4orqvxLeJB!CiE9lsGwMa?D1xI6L#<
z$k4Vr;}W>E<{4-=JrfoXA>m{7kHb7hH7>8{5rf86GDw>(4QXAzp3CbbEoX_zE&75I
zFAv27%~Ve$NGjy8CiQ0EUd$oFqf?4bjw(D!-9%@NFk3|T+kmu?gDKRtZ`r8t8VT`_
z0Ni^r#j|6*{Jc0>Xvmh&>mF}k--_R03#4S^yAt5g8v@#9L2)U{K0YW0Ymba@F59+A
zti`j9{qDZ{7a#8p`ff8Jj<MhcESHUA+~vrYxcLV!CV^WL%~%I$=o+j(LA*U~6NZW4
zuoTgk@nu`kU}Y(6-U!u*GUx-3o=9Ym)yx;b8*Ft}>~;c+Qhl4j*fbZ(nZciPgKipQ
z(6r#Aa?Mv?NX;FV)Ng?p6+w_47S-?m66({)%WdRAb@&}M_umvg9t%c}--EX%i|&6R
zz3qM6CXc^4b8E?N(c%6_ww5*@J@30wOXC_N3?;(yOC?Z)Y|N7r>E~ZOSvkM|Y)(VT
zz@%gUa=eWf5g~#<WQVJ@drCFah#<fG3nG=G&HRkVCn{p%hH-LY+$g|Vi!gX>Rx@>g
zM`_e4RynkND-SP1kDQdNHu}=w?n)ARmhJ#NLUe^na$D2AI4e7;f-Ci{0lVa9o;}25
zejh(_d-GaTqJ-ZQlv<xPC+~O07To^@7{6eU2)Pk1U6BPrj<M&R`jF{53LKd>1$xLI
z@fmcUhdMgj|4Vz=NlbD^z+OI(R2&k4&m+@~F^Y7lF<%Dl6~t2<ciSBrauJ}iaNpRu
zs9&;7l|x>Qt=1#LSAx1*^ei1O#x$ArxUonx=K>p%^cM1gtzH9;lSx7tQBMyzk9VGx
zeVSxtC6Y>DtcgcC)2Uce{(Uz*i0@lt@PxqL%rurN<`UyO1SKir`B{!or;58hQ4_dX
z^81&T_Bn$;729f@PaT`NxkE}-5G8rk>Iv&`w8*-M`<NKP$uL;O#U&C_YXoSd-lmHK
zcKkaBG2ZW*9Q(b+G+7A(HPL8Qu#qV=dBnfRk2-1KJ+7{Qr98{(@Xsk*GgHx1JSL(n
z-peTX5Z9g7<c5r9AQlwWnd<m+R^h>M3>(=3C^xOLDkj*_)VjrMz9jDVcNDRx7S1x>
z7eV(3(aoVp=PSnfMPoUh_Iw{1Cg4{C{M*Hj>qued!99c90@o(AlOA*f9t}Z_>M-%r
zsI-?E`PbVzH%~(^vs&HI03Og^xw2;R@at`{Wf3yswacq1ZrMysm($+IYq2bx5tm~>
zYDR0o#=m)I6T7NrY1UiQ%kO)S#d=55TS<D(F*J@T$S7%;TShS3T`V%kWOo2&1ExU#
ztdwej$op?7fg`HF7ov}zkMS>G>jr^HiMuNeNq>}#nvM?6cD`!36(iMa>@QB%+sN*L
zGcZSJ>p(0J)OB=AdGUMRAYdbaw%QzcATg&nK65a-ZsG94yvX56%p39&ufL_(WI^_X
zGT-!MzO80%o~MSmZNQ%Us&77K0E_1e&-;Y_)vH(XC*~!*I55u637KhqeiOIHW0aB1
z#yZ;XZ&x9nIo|g3+35zn8*9(mxA3)`ZXD*l62U9p9T$+YkF4?CjVo3p7w6!u`D6q%
z!C0BcBMQs`Pm7&><6jBmjx9w|rw<JZgy8tkcL*ci{uFn|M&T{jaleFobm_Z=+kp2K
zV@O6~FUCN6(uOYOP)>A_zrd;PDQp+>ISW+MpSQ~7ePP5Tb9qVJ^)qbIeV`PVy`t=g
z)LcCF>B?1(<N6sx79K=4&c3hdyi+{vi-xfYb=dMG7ApLk{>lSDVs|&)Josq%+O45A
zJp`7S@rNuVKC#B<`Ynl*XbhKDoar2hCXK%yl~I@QeWl+A1H_J9`_RFTtU)b)Ja=LL
zBV_6#F&X_4v2X>v0li^=s@*5EzON$q1119GdcQb9*pl1<r&%}x(ZGuTU1k60#$@AM
zx^{S3+$o!GUHw?p3A5S*XeH#3%<n`#v-5CB5je8E$x|lFwui2665lG=rHiB~b|tv;
zkHe_=XGy=J`361NmG-LB28_+ajl(JT+ACL$t!JKE2(!_kJY3-LT8Vm*q1}2>+}Qs=
z*4{fD&b50RjuJ%gy#zrJj1qMaJ$fffFhq&odx_qOL`{?+dQbFjFhm;(LbNf2QG@9H
zyY0Q7_u2bB-rs(|?>N4Hb7XE;S=U<UI#&}d&@Ci+OB*@Z7A)EnL|$%0TN*q-T1IcP
z>X3hP*&s@_8DATa5<_`RmqSW;Gww07xASC@)8US!WRRY{G`T|u)Vw1~WZ92X@+rZH
zR@*S~BT08!vwQha?^NiLF(<tVW>`T^t<~tW`br~O+%odGZ%3ewTC%X+u3YlT2f0dY
zqE=g^$Y*LruW5~Y@&_IwQ5j1m{(Ob`fv?Zb3x7p2KO7=?Pj#fkAi;|C`l3~A#_>qh
zljQnKO){JC52k2?V}-k_ZX3az^suWt$*0pC+@&KTx!fcqsEE8Z9|a>T&IeHbxha?E
zSZT*-t7azX8`jTP8t85dyVM47rWmX=p8I5t)&}`#ou|PZretR3{MX{S@rEE}i1ud+
zSj}84H%V4kQzkZl`HsT;5tWol#dur3Z(8e~#CH+72@*iZsH%npkKEoM4)eSGQC~)%
zEz#l=`#XaCxm%oCMWfW0^mOk~nP6cy@?4Hi#kVSyuT>sEPap9Wl}`oxk338A_-YAG
zj+jV^T-S!Hc`fJ9&yc2VK9;TEW%!yOAm!~87ndGYzMq~OD+vp^V1@qbWNfqU_i$To
z@xQ5Y6W%@&Jy%b|A&`tLk}H?xN{~?BvA0@UR(Dk%3OXteYb;&%)BfVCfy4Y!G=IuB
zmoc%TB)z~e9vAe+wt8m9@2iwAJH@x49^FgVU)}VcRZjO>)R?|cy|Y+vLaapOQHAZk
z7`5)qrqgdlo-Vem1DakfqAowwOFyvD6MLQ%YCbw;os3$ZFD>x&I(*+nNd*lgc}JiB
zZkHTo%({!!(`!Xld|ZWR6^W@6w0|69Rm<`5wV5qp0~I{p0OlbZ!w$-Q%M!hBy5Krp
zv_9QV|8qIO!VDuk!#T_$aFNW5$x^KV@0jO?+?pVwr!-W|-kT=uF^Z4%G?-VFrfA^)
zc@j~Q6K#0<l$yR_g2{L1@Qu0T?hAvp?q7+%)vcNVB9A1!?lE(UaV(_9#LS18>GKGz
zw2a_PiQ{YYXr_80b|0nrT)85b&^?{Bu)gV#J`>qa5-V|TzxF%!t>y^zTeZoog%HiZ
zVVV3zK=Yn4a%r43Q@WL4C~HHGg*RII1zYxtIgz_G7!Wv8Z`z9DMg=i$-DieQ5lHUF
zW&6O0T7*b4>%p@EWXQhBp}h@9JFjG>zC%>mTv9LU`&PiL13i4A*LA^)73(n<>t(=$
zNbRi6b$+Y6WAc&r#h+hs70lG*oL>CuuS8a9DVmC_An1=SG+-K<HHL<Hw#g{}b78y3
zHd0A<&zQLecGdN=+!?lD!of$@C5i+4qNyLQo8Pdnh%rYH7tk0dqBsp}U-;rZqxlly
zR)O!Gcy6(h_(8<^`C$|h%M$9C6-KxddYmKivsO~-<pMF#Gono6T!<X@ZlQ#4z=%J$
z1bgMMdc)4}2k1cJHK;mm=*4U9pDx;1WqU!&M+?f@lq+k2$+c}HHAyIaa0Zu_&!DVn
z%+QvwxFuLRaaFFOg9M%v9{`5?60TNZH~Wt=DZ!hOOB>K}1|<fJCE8<`2S4XS82@-j
zoEml_xzR{ykKg*YZb~cxx3O{jt6<T)d2^Bcc^~EF`#2xvO=3~HbCR!l+X=c;9zX9&
zxo{HfpF5cM?AOG*$ZrMZlA#10JZYjCMA}JG($6wQR)EmG4`XD`;<A&kyR&9&=A4x1
zb?=i@K|`E5QpULg>`otCJ%kJMvk&{1J<>SwYJF$JW}+X3ff4QtZcrXdnWnt*U1=s7
z_&w%#-M$)e^e_*v-skBbG(TtT&wpZ%dNgO+y>A-Z{faenuI<rBe^Tln268nu(@U0W
z5&oiZ9qM%j#qFNS;3ErOeDoqp{qX>x&^!)Thhh5tzG;&ERTq@x=1yNb{SzBQKNLB;
zFi&CJwg4+#J<S0Fy+=!l<@VM6=4|s=w5px_niA}T)*R5v>w&GE7x5_4EcD0z3B8)t
z(+8%DQo>VA(INE7>}jLSWM<*{K`xGjxKH#9=&zT2d11@0nDT8sUoKd9&ARY?tnagU
z#10uLB4%PB4CUo!8Op1$Q}+poY1i2~zOMR;-}VBXXqN-Jy)hn~3JbYP>jS%#OTsav
ztL-uf3`uf+_i8OoJwm3F-g?WYCydn=dGdSna(my@*@TL9dOP%Fv|UP2TeP8_ZiJwy
z{NCJ99)AC?(rFItRK43%j36Ezw*e=^aiEKl&mp$?T6bMObB%&dJ}Omn5SEkgR`~Hz
zcYd8lQXsSBh(yh167D_U@rXr*iq-{j8PCy`8=UZiKFg$?6O30nsn!P?N*s278f_zS
z<ICWNN7iNb)+#hpr%g|(wbH_GLX)SB)UGS>>{FYfpSQ@?23qSmTynCz94ox==N)(*
z|6lCDEZP=AC@z{B+Nqa-`c7THkMBJH#cG@Fyc-)^SY2VaI&bMMVbxdT`k)H6xdzz^
zZ@vMQ9pl2`aqVY*-*;9!`dN|4c9Pz?)Npyz=XE+{2}VtH({B!FZayllz&6h8OyCAb
z^uwD~dq*Tnn2W>UPLbsnC>DclWzSSwiwmDH8?|Awy4-U**7Yys4-w6H>DdPc0j7{=
zulK<l2Dlo#rjgY=TluDAZaSexBu5t`{mcmIspGu7+a0J|fH@QhS6W(0%((acDsam$
zs5Y|<`d_(-K*g%>toZq3RzF{O1$X$Ouc~E?7v7<4LIg!Q4ckla^}%Y|3d^$?RqkQT
zP_o*tSd0_s2L`j|sy-UG|LtxXgR9?$ZmQ?E3odSI)bIC*RJePX`T6c*i~O-D<o?EH
zGgkPlepDzme9N=%Fnrp~g~J4#!C5&D8N$sT6B&nfuN;zkI_MCd3-HfR_Ziw&GjFeM
zeSeT!p=QWpAjG416w)8Ue!ZJH`BZ+9NXgfo8tQ!3JA6alSVbRd1MPfK)aSd1Lly##
z*!q#4|4j(M49!+2O_CN)k92u%e(r5h&8#t`E3J<SV2SWn%ZDI8bC7Vva0_=g6JR6v
z-Iou&z|-Mnds$fxC-mrV5B$5VT>Y#<rqYa;uhzL6sACxN{nTgD>HjN~R0D!iO2r=x
z#2}Sy3ByHeX&{RY##015h*U^*%2#WY`t*Xa&oHR`Cn;Rc)dr4VU&8|PxI6THE8)jQ
z(z3A*j;u>pMLyK`V6={M<qWasDVcy|ptoQTteGTp;n5#gc>&@<P_r5Yu&`WpZT>_4
zmeWuNU&VllBxN+`Rg(Ae=FSq78Jn%H44+%r-jCFKmn?9%(m{A2^*NQ`ir+iwF{Z3&
zLj6bgt7~5xH;RiB(nQvzj}BZ~<Nfv=I}CO$eQ`GnL<o9hLRJ_o8bim&7xje^&bFq{
z|Ki9D^QSjOo1HxlcnmH#@rk|M*Lk{@wNrAn?7CUD_Q}fGXq#xG8!xS4oz6nnbEitZ
z`zl(EN0{54*U_`r2XFVYi3{!}pgs;lz=k5?f!r|9YC^K9thm*2r(+e<n0vu~HZRaJ
z8Szngh=RgI@}iGX52tInfef4QB~#gx_lip>eK{?JMwE_!ajA#}skhmQ4v*%c4Y)}m
zqh-sLjTwC7%ZvZ&kcYcqw}4@98k9Rsz+HH=%;VbmcG%mjOnz_5i+a2f7r#FMm$Q;T
za6mue#dD*omtgpy=^M%4jneIM&t1P>i5@d8#-vrCEPkg#)+gF{XunrQd`o8^HyqRp
zSJ}r53rj|+L~!TSIjcBi(mlN|@=5WaN6_^lf(%a}@%N9guM76&=q(VV{dBZB*T=#h
zXYg%6*E>r*0xw4_W!O%a(_x_0F&1M`a}A!m#mPnhpuu657p$j)NABBf2PZh1p+)IH
z=Gh<1jxv(fN<Vx!&F_58MY81c@WeNlB(j2|Q(-r1t(+UqQ}LJz7A4)gVk1S?&(~Bo
zvc+|Z5A&ExLoHH)g6xPUtBeWK%E`m@9SXcFIx{;TzcReVn_rddY2kteZbyeYhxSHh
zUUW|+W2MA-X0YLX?J!Un5xCY*+kEoV=P0iYdSjCw=m?H`nfzner_x3Ix1W~JB>CtU
zgh>(|)%6ZuEz=jtbA_w%MuVBG1vZAy+I3!==)-K|n|dVpO}!rdSZOian5Aymr-uHf
ztti5^%27S|dYR~Z?cXp8tp}uKM=yJ>gHm!%SY|bQ<s<rM@pr+E#7dV;<vY^S|FD^9
zUu;1>u2wS-BYHA(Y2GDeM;C@($BglSP!*&q5D+Cb-y%wUPFj<wFYWWe*I6}c@KAzQ
zzL932&m{|VQT!ftWZ_ollNDTCWV4!9(=Mjt$)5aac=rB0;R2P@D-RvtYQy0!8aQ|U
zZb1&t;7&t_CRn68w5P%w%EOki^FnaMiVUl<hLAOqTqlwf%gI}IaQIH85!jGr&5XF(
zj{$n3I*@NW;Q!DZMvm*I#go!5Zt^KLm-_Rlg_R+#4eY#}yB&`;H(F5wGSzGYn#y<r
zF~zEihWEraH)+0tVQzOvn0e*%X>86K40QLKEESAglD?MAH4*ddF0kUQSp*mwxX115
z0d5c9X~1K@e2<K~t!Giqw6%l$(8(UMeiE=0bP+W0_^jW9Ev%z)X*hT41F@mar}Btj
z6X{6Lrxu;SfQq-(7Vt%aXI)!LjuLJ-8u^_uUxZ~$mRHXB;3NSjRK8~lOUwEp*&dwu
z7_L2nq|<33_qCmFT895}1QvX&Bf2iw@pldW@{wJs>*$mC^ZjZ*W-{U$o?y(h2l0Hr
zOzmaLfc*N&SgJFNvplu>13&~h4x*<k>m$|^k^32H2%I%xYpuq1hV8|#zrEgB9&SEw
zPDxb-H<g9+zfWd09RRdQ{Xk5NYE-<fEAPt3u!A?dJQ3{DhKLZUf4ID`;&aP``Cp~>
zY-EerG(!zH=qA|<Bq{F(UUBm=Mf4(^9xEnaqEDpr_7txuA<OVdu+n9k-GfPHjbr!c
ziC5`-1`2vnB<J6K8ACA;w$J^Xqs}qdQEsa(46Pxb(RgPQP>NF^yEEbD#bIlS8a<X7
zFNX7`Ds<LJd1`7Ct5b~(^p@YIS)`a814q;oZD@|>8rA7sY`=PO(yh5aD0X1kEfnEl
zCD0_&45wQxyt}tPS=w$NRu5YCdzL`<J@5yq&ADYIUt+qPEwc3Y4%r87kw(jrl7{<K
zNyCHHx6m-DqAu%X>;-t*^gk+s5q{UI;Ka%_8W)rr%ON`i*%`lQ&IIO8U`9wa4(Vi(
zhE-5aTe?<!YU%TUZ2Jt8Y(?ycC|F6ZD<^8z=`%f&a>okxTVO%S5RbVq+{2d8eRxQq
zU2LWl=&=N5(J^BpTR9uxyoLU+mm|Da{2mn)CPBui^18pvr?i;*96)A}0T?MRIiK}J
zj?M056TxLCRMxUi9>W=de!NTLYjvfzR*w?WBKDtGQBn)|@C*M!B=GF6YexI591_$R
zuGEmyz@;t!@vyBXSlnJB$m`1?_sVh^$ybe+Dmn(1d_-#Q)yyZh1Yk(Roe1S(G0$y^
zw43H!9evyl7vu&<UlRBmrsSu}GYL1$TF#CY?gf45OcYT&fUWsSYA?u!>F7ArpIQnN
zV%ZQ{#DjC`X7f?=Ud^em5f9Aqt8<LPeyQ)6EgrOE*<|y?1mtofnS99)l!RUtg`O_1
z_m;a$dNK*ps5UzFEPjr5`*sAb#%%88V8$US<B#d=B$SJo)_=AS7FeX1LwSX!rH~6?
z2nwxBVzpffW|+fGkY1)|jCmnC`>T@hEvxPGJY-6$*vnzx>Xtw7VvG&B0ytR}aNWO%
z*_rgx3+y+lKu=pds|=_c-09|>6<E$?5;i;6HsQJ~>}>R*+J?107xeh+rbO0iKZ#xD
zte&;9NaeJkqbxtcs*$de7YtGkFR>#*ztU(j6tASLYOf1e(RUTg(`^kGBqVvThAu*z
z-TgVw>q{|NTSSkAWRG|Y>v{*MwA+8TzX}TNt1pRZyCG)Qei;)yQ1s&u6D|AHO?GY{
z%-c`bmO&u1;9guVrp-FnnpwLdba^124`MoqN4b?riMF`V8mEfrC#E^ldG^m^*pg(=
zUH+69^1X(zTZ5IL;Yu;hXWUR1DS69tyoQ0mn7^S-Ki*<)B&vzbs_lD3q-^_nAHF(_
zr$2J<q`Aw|Ur08r$*MNIg$rvKe^k2*@!)cs3Z38a{A_z*@|Y3|e*ogi5R+MZlX-)g
zC2)<iM)(rl!HDyz+V=iN!m21!N=x<&?E#Ond7RNGcu)ST*X<eZDtO&rN6Eg{$KCx2
zee(T-tfnLGq1@!~$zk{(c!(h@(!l!X_{7^@73zd!<Bq!-g<-^L@8$x^<!e_g51nl?
zS{wt46f<l0Ezn>d$g`#nxAOsH>5FQjSl4z6lVj+&&%a^}B+?ymYxYL~cUM=g9Z`%g
z+yJEe!b@CP&sNjU5>T{%=+Ou}#gsmep7oz}qV<0C@AQO5@z?!zs59q2_zydux=;Dj
z?|Vnzj1osI-cwlLA;x4oh4wo!83c<^N=i)1-KEoAAAV3?F;;XAE1jvwv)K_R%xkL|
z(D^E|Q0K9VBh)Aos;7yb70Nj@?Gm1U(AnD<U*ftE#j0UGpTy=7{lTl_H|TptS@obm
zgG)^8oF??d`H;@4{|zZz-%VoG1t|fOj!_Sa`-p!u&|agwVF|jSgM3xlMts7O3-DGv
zfxKTzEx4XJNxQX0fS7FUgIQ^V4GlgR9>jr&VH%{7oSP?kN#QcrF+)zj07*$iZ7?^x
zd(-$&k)hCvKs8!StOicuTRWEn(sd_cOBuv5-5)I?7VhbeURWn~c?#!NEFW7T8*G!B
zmM3uUJKMHDDX3Mq{(aLkH$hQBrJ-~pRk%0GD=p71tsQcSJqTE)ub40oou8mwl=Gyz
zrsGv3pZzQiE(U-^(w!4%qQ}b9oks)-yL4hp=celdAXJ%Ks`_sOV2uqR-wi_Fj&=^;
z`ro9%?-tNu&{rDvrnHIJz_6?2t(dW$@+|y)t_+-JhMYuaf=d0K=~7Fp1d}!@#(N~?
zE1a7E)02|#I3e}S{~HN2k-HxObSo}SEYhXRG1-0XygYy*jj0x2;~u1D5l)nds%xrQ
zMm@gLGUK{bL!f)LCimG;oq*F*Nf(DFpU_{(WK%!ZdG7bZw2m3(BKm4eIcvDEqLCAJ
zpdSRuqks=|ngcomFRE?A-IJp8{`$rj3xiI^DBi1k&SLEPpP3Bne+#8+?!@61<3g64
zBQ_bLR+MZFBdl{wyM3$c{-byF!BqO}7s$ROKtS8@@sF&br>dINwi_}mX|mNWm|O10
zrA9S`_EVKOCJum@S-)0cgFZ70%*NEoqE}4!wwnxiBrM*>s@DGQGBK#{zR)>(aHjN~
zBd$z2=C|d?%qem3G#PeBP4-JcxA)7(4|K#5swynHe?Q-APP59+)D~Fwv)nXy^=S!<
z)Kw~+UgFH`nqufwPM%~u5q{fuZ~oA>9ET|_6-&fc>CrnO>V{z>*=m0{f%fMK9aF$Z
zjUd*6jt7IO)Z7N5Ugl``$eIJJXK)rRb-g2<=}Is0+qp|fHCKN7O1$btNxqwc;E^xy
zCAiy`sraPkZi^Y`pqk^j<DlpE{-KO#^?~2AN<Olg#j(bkK_YW*rYGMc<dLM`U70Vf
z?T!~74_(++`mTAXCG9}|M0xREyf;IuZZ6u?4s1ozN|v)^ee5@}<E6gzh$b4=fW{|A
z9;|~8NCzF?FAaN569=EvogYX)`5R9OCW=JMY8%GF-_^sT#L}6fShn%<N48m&Ak(Ph
zN+<35*62ry@GyF@Q*aVby6bk#3+g%m0{Y_Nl!(mem|We)yPK`dtNV8{;3G;B0dh}|
zUVxfvl4TIi-Tiw{<Z<W5jA?bUD8ttSn48^#IEq6SF@>>6AzB=cH4|Eu9-cB!Ro3p;
z4z9F_W;Q-d9(&u_lTRmw)0KDiSe|*gn1j&iebTX)lb+$#;7GaErHn0RS39C*9edzF
zqWbhK8m;s`S#U8(?uZa$|4K{=*+G)A7kCypCGh@hOe<Z4gT~gL!n8PuEaL~crhKi-
zD}L#1vf!GU4E^K|RC1w%lpKXB2GZxD!c>ncl9VBA9ea7p-_O7yc;7TTFcBPYT}TUk
z=G&nYglwKA=ze2`LIy~ne_ei)x6B{At7-oLN?MH^|4y^6*Y${8N0R#4kHUdz2RCMc
z!=o>E|E5#5VIFBv>V*j>?&8GtSK?E{y|Ym2b6l|(0{p4AQBJY)_;Wh?d+FSVkQX*+
zb8%DSAGd5XKd;;e|N2Q*G+_m#$%S>8bjo&(5oq^!;#WRWgS>cw19VrTrlskf{6^b&
zoQ53FXIf(d<K47r+apaUk4hG6zZ(LH8JLNRys)D6c9^9~L}X6S5Z`9E7J~SD+LqPe
zHz59$1$U$T@UHJ*W=?sg(UIPs8V`|H-q?TYRlV17rnlqP!ijYd0T^NRYYdsMK1-Vv
zubj3r@<XCwwfrd+on)#0es98{-MEPtRsGg~z(BSHmRQvCOrI@TRDA`OV33=J9`3}D
zI>>v}z!djDZszJ~UujN6<{5aOQsgTq5=VJ2tZ+s1)ZR{YhC05fDi!)k(L?P=4h6hF
z9%5Q&d!#j4Pi*)mwda!xE53Ov8mbqAIED1ee^G75X5>n1es3}K3&y+d*{8nkdQ54?
zL{NW2qKJ-mf?^HWLHz(uCo(SUimv;KWyJ5q&TjEtp9EC7#WnuDvSbnuV9Z4%3<<O-
zc?J$ZH<r+gDr=6@;RL{FpWA12SlS!}X5%8iH{>BZsB~vVjMJSOejvP7jD75q{YsPG
z5mJg<Mfz;gF;QFfyG7oFLbK8Z%X)e<_~X)!1tyo|()uT&iY}Ts_9=l3b}DR-B8U3!
zzPuz9&ZG*al4<wQ%N>1Nca^>iPeZ2!I4UrDA<1@$ejBakDN*xz?f|m40tB&8O>LT_
zYUGGkSXHF1v*gaUlr!(&F8~4)D1~-ttFXV?yYNw4&0b|+f@#+3o*xII!NwvK&)?7X
z%2Q{4NvK=`d6Mw<VRpF%GSR|U7*COxDMqIsD}5E()Ee-EYc>!Tc@=`~E9k_5+&H0b
zi>@b<@mB#<R`NCMwV#EeOif#L1BtdbE&GOY_F{-aydKqY%7`}X;7#&6rTX3M`*+kG
zqOL?&y$Le{YnbKfGf{N#{u4f8Ufa(85<=nfqUxWp@1+xdch;O2Lf@KcG*cq)*0>sq
zwlYAY^vS-qykyIK7=cy+#hjABhn-Mm6JP!g-YY)=q9#^<aaIq1`{r8P->){E4^uc$
zggikc*<C4HO}c2&HP}x-IWm5%_1WyXkmC>Zoq%Il?S?sIDpanSD@oEL_wrqI9T5~s
z<&Ji7Tmzl=Bja};vB0P0C+>wM!%`#h>W;@D%`mJA_9PD}5miJy0x~m>cItTgMD50n
z2~2j-X=wMNosRHI^j;p(6@4$eX8&ek$>KAePSDiDTtos4b{7M}Hx>SJ^*eRPIc_`I
z!F$)B&<FgPhzqiOejnuaW+cO02sBkYuTXpH+c;GtYp_zvAo;k6P-vtR+oa<>+H<MA
zI2Z3T77!2Wc+vcichetR5R0md(IkpKND%`<QlumJtL15d_$r19CH#VQzsBLBTPwJE
zr}rb~gC+TBv)98NM8=SVu{_T{SzyizSKhITl=l+Io}WRVnmz9QCg@zV>}RS-9@yb+
z`5kqnHT$&q9Uaf}LQbsFGeQYo>#;<CB|oHbHygcl9pQvxy__{2>r*y>-~Zl+Qf=ye
z%zQZo&gO+3e5_Z(Y4)ZeYc+`0gKLS7<v-g=iTY^DcmXg?{gVSRomVapa7EvbgN$0|
zDN_7jKN$5LN0~Ehs)ruvuJ?}jkv67n7HGFgQHxq(1beq}Cxqu!xEx@-01T!b`d_a~
z5Q~`vRrl*Xvz^WaWmMb<8|{(0lU9WncA&5uFw`J7I<kV&^7@TYCfJWyJVXaic=^*D
z^nyd18rrJDI_17#=u)nk&Z#Sh+-#-L#S)3`Xh;G1ra-$#u%_NO$s{v}gI*loKirvP
zB(P7@CD5~W4|=9o8E+<-z7&HXfYfFOnJCc1*>p0WWkjVlP>ehp{-8LasaFG;DTRM6
zR29_YalndH!;0KnoZ1jZr^{X-&Rq%q$wUv3RLI>BYQQrKttz9}DWfm8=E{FLZFXuo
zn~^E(!o{wBfsS!rFSD?@Y5}oMR3V^)<{KMjavt7qsE)eE6NVa{opbFr*MmfJ%w8Qs
z_a8=t5UD5=Xg7KX)jJ}vI+R9Xbu*bw0|)qQEN{WCcEj@Z73PHOSOO3W`#anhw02*s
zu%+l8lglX{Dxr=OwUh%xenKy-9AnF?{E=ILo9cBjIy3rT$1YH4|1ymqNA<9e0{&Li
z(}u{K@kdluw713dmpr$TBXm>NE0WxT9PZ}$3cw&VOElGbOvz7Dc7_j*R(x0}eJr}3
zl~8)&vUmaJT%lRsy@?#`^Yk@48CYCs+iL)6?0zf0w_T}rpDbf31IG%&pE;-Z<VcZW
zZ=;qbv%_Bc*c3k;K00uwN!k_t2jYt(Q=ot=Sm|Q8o_EUzesAG*<mvZQy{Do~UR$b%
zR|T}a1rqc512zI588_THpoI6;XBC1z_?S#qXcHEf&pq3eDF;RP{ZO&{=J1g6mlWnn
z1btJhGC|*}M+K<;eJznk(3FZS7G-1Uk4v&cdI8|=6ZX7<ix(<)#MOe*E1Y|+Oj}9C
z6HH>{(1K$|g!9Vc_f3IuW_@ss&sf6YDSL~VsSZ)h6*W+f4Q9)U+%A486&1MYR}Rs0
zVS2tci(VoJe($~~LLQ~)9;}g@=qzQA1c5DACMxcnL-s!I)_QIkWgoUi)&^+eI<~V7
z{mm8V>OXu4fGm?~HF=cH6vPUGAL-lwdzicGC@}%z48bC^!WewOhY%@4SELj!T`ZR<
zzHX+g7Q>DLNFH`EVqV@kejj%ip=w<;gYqH{>(`yF(S@S1FE9_jd6)k9#0}#Cnofsy
z#tgcd?-wMYmX|6FN~EYy`)%!vYS164N1VucNk82mA`!z^8__Cuck-m>r=jB&WdRul
z`3(~R=EZ@uM#?yPKd<45z62gM9hcq(ydAsPcQuYVVU)+hu!>h4pCOt8+uPztDsQQg
zF_xs9NuYqgR1)s4!(>H8iX}0*JN|)ElftTi&3J}t<TT4Q5Fj)vdYs-8*&zo`*5|pR
zq1=takU&9}N)oldjN!5?VwIDz^_?hs6_=Qz$?1Bemg&&#L?;ZCli4oi3<n9)z#nJ)
zNiQZO^X2NQPd&)x_;|_0%dimFsm|T~#Q6^11^YUG@Ll1Y!*B;XuCTYka?h6e_6U+-
z`-KCw>swjt6Ac*l`kdIh82enpoG;E{pwC?KxDCby2Pj>T!x7rH7>a0m&z$&RDQi~h
z@n8O9!NZjnyOEANrk(Y7%{8}UVP4x1r(=PFcq#&AYY>P(GAoiZA@N9`qql4=m5p?e
zAOQj~K_lFe>TkAoa2*_GVE$oXIO06XU~UTTV$@agQta6Dt|dNZ9!pd)8%<Qn2Z18W
ztY7LmpWcfaGY>5cmWp{A<e{O)vEm04lph$d+VUaOs;FmvfonA*78u8mxJtm_<=;!X
zz6*i+atldOFfLxte7@pPV~{4@F?k%-QI!UgdW*YTh<^@St8J_Z6X%icw<V*p`tkj<
z=o&2nA|g6QGbFzgf&Th$p^gx$w3w&AVH71!&km=EJsnqHaitCAtI+^$+%tP7N63qT
zHtvs}0~nJ+yF|eR|J@OfcdKbAVxj4-DqAXm;9^{%Uke@hQ5BH&A03b13Aw$J!@w4@
zU!Z-CP1IknkFe^BXAOJ<C4M{X{&omEf2J*vcvh$;-1unLVm`UeZO1#p_?5ooaVJ?i
zp-ZB%mqTH2MN(${K2Df>JgO{zuf36BLdjb;D0<dz_5$ybq|eon_oo4m7Ls=%{8SQr
z=Ft4S49K^cMY{uK)+q<O`C^9igshld?;TjAg-gUj^4L*x!BsG{R`Y$K_kywAcq;~_
zIgbBT^C9ST@mcsafqlMrc$A&=q3X8h(a>?=zI?=e$Om6cy6LgLJ(=fU%dO=gH(uIZ
zMr8G8_1IBys@~V_L{wqbtcPZz^BRw!uQlI)Xp{@`q`ji>Hb0Q}Z47M^c#LnBdr{|k
zjpMmBiGQ>?O}Y5l*lsePBi;PBZsh)Jhb_>Dx6O&-c3(TBJADWZ0-WlgD=fRGy`x(=
z!cLjtUs?SNoaWd|r)zoXX&=iE^FHTy{q6Y((T0r*Zzu6L4@yIyx>)HzW4&lpe2%1k
zcft_rm2n$>l-!+43>^sNv|IehYd`JrWPo|X^&!{EPWpqtAe9ApTJkXf&m)|D<sS(1
z<c8Ty0YJ8fNKTMWuk;7`&Ur%r$GZ-okREjW%?W}ddjkXY=Hb48Z^QT&mXP@0Q*`-W
zaQ@8t7fi?Igy8`*7!in|gg!^ZDysVbsB{LnLK+bZF?A3Hhi2u#HfLVp^LX)6Q!x*-
z$#382ZPsi+pFz<I8{Z!4c7n^lS0#I2MO&=R5{L$l(sYXSBHXv=*(`rWFDdRRY$KY`
z1xpAOPk@5U(mISyA=f9p={#TS5O)$x>ZwiOIiX5{I0YWD%ll<0P?HPZq)%z&tdqax
zbq`+5Q^SyK6{O^$n|U~VPDFO+{Am36Ghgj>T=Mw}ZqG>^DlE2)2)Xksh9+DhKdcCp
z{$``Mua(9A@kYcVYZq*L_xp0iOY;JgIh#_Q{6}g8N6cwYnMFXM)-(Zn4&#h@Ntxj;
zjoH1*K5T)hT`c0OqxxaEa)0xvFBcNk<7NAD?w>|Utn_W<)%x$q20r!?VAo(ujx|^B
zskDx-yB?G=#XVNs%h@x<cK74LUrQ}Z!RaDP_<$L5I&cORImWtNz9PvaPpJJl7`R*Z
zFlv5q4h?$Xi~~Q=-H~RmK?9gbDA|?X+)3gA6(e2N7R6?{mC8M(r*EV$`>d34<Y%s?
zht1X!P&|r!eRUR)E>04hHj0=#Qx1Fj9a#H|dnBA+&j{14bbCq2^Uhj>tga9<8JiEn
zCqbCy!E1OoefQ<pK4F$nmly6v-Wzz-N!6J(z<`Q=)%PS~o{%h;j0e273KTz3EN+cl
zopE4QBx&*lmMGwL9avzpw+D9V%>@KG4yD!_4s25~W$u3ZP;S-6lr;Vx8bG#NA}&1T
zpp5fmZ)aR2iATgLa+>Mz_sJUHB`>u9E%9%^b^$T!YrbT$C%!@2EjjnKp|^06SXL-}
z-}GeiVeSnJFUdJ|K1s?<;~Jf(%fg*TgW}i2AE750ckvSvAa*ZG&u{cqBRAhei!B+1
zeu0P!QO?j~y!<_#>$uW@<doOiqK1;Isef{W%T_U{ESoVC#d$(Si+VhboF7pQTU3za
zu$P&KQ}TglM|va1*F2qwHZqQmg{Al833~zBP*K+8mM`-_pr4(M6w(x~ci?JtV6)tA
zW}!nY`<9jX>PeZf&&m0jHqIA+Gt)b=yJa>0XR{-Iun{pyH)mcPlCzNwijTW=aF^@f
z=&>g^-2_Cofr2kVn}$u%Eh$njbZCB_M}bHOOt7*HueUao0l*g?*I@FY_my&H$1$dc
zKifTELMt@jf;`rk)+P4uQKv(>QOR7Ta>=A`$qIk?74m}Aa4$_D?<GC<BqTceJz3{_
zL7E(?mr3Qv04%k~k2I||_SSE|N(oKGXiYGRBp3*E{jn>Iz8s=-*r61o8BpEW0e$n=
zS*^sP>OTbD_~x#9^et%g_ZJ3$UY_0&sxZf1byDr}3wWAEG9>2NGpNv3hv3Kj1u4U6
zIU*iP<#_t=<LZxt+pqj5zFxw_wIasj{8xryk8gDVr5+eAz<I=cd3jlPHQ<#Aa;Khc
zu#d8*81DTxf_d(~ALq$Bqvsscc*Slp`(|e*aE5>?@C`BX$?gdEIG&&79{}O0TNofC
zmwUhp@%k3ds7!NsAydnd)bm{;?}S~Sv{b(4ecRJriC-?X9U)~!Y4J6RbtYhuiMQv3
zIQ204d-W6Bzd0rw(Ew_TfBzRh3Ci8dy~_aqtfmqYH`qMa?7PqMz1ldGpEYXftxcj<
zS)ftodumzsv?tClVsRTx@(;Q>Gnu0fSs7gq+wR_+BJ|1Hlv^APb^lPs<Q%uRG78)Z
z-)q+!O-xLM<-wltXF@K7Qo9oviS+h8V=z(}7VguJ?$ky<3cceQPaQ91ADM<=UhrZe
z?e~H(5$AYrk<I5sKsZdEj2f<-((9`stq1ckp8wlpc~t3pJ(Pfo(Yz+;3{4SrTNX0l
zHA;YBT;v<cVW&1VgyqX(NlMZrRPJaODk}wwzo50@MI`3f1|rE_v3r`XWh}>>?C<{>
zal>3``DNs~4}QO)N%A%o%ZJE(d*L(HfsMLc-mjb`t<PL4CYeuo)1DN7WL{o~+s$`M
zV+Eb@P`XIPvW`KTDRZM@0yJNzrVM*O{yX^iKgfYU814+ym1isJ9Tp*1N~Z5wJ~Ov^
z0(Z94YU8R@!`C}e%-~eBur{P<c<-$UC;1EtS>UH{rVn#SxlwdPQ``J2+wS(hB1z$&
zvtIwElC}KR{bLkQqRFZMkZ+(sbuPWs#+;HJ%l+v`0qS?gg{IcnLK}NDQR>e_)7t3W
zzOgc*iQMqkvMu~Q7<ir!V{f*AM}1kJt>)hpc^Srxs2qqKeAqCceO`A<^)pA<VF8C!
z24tjK!|)z_yiSbyh;MpA0D}j3Lyl8p*S}X&l&60V4K-y6q)L;4*kP%@$1Pp_hz;Xy
z!O6pJaom!${)0%)zO~bM61leLvR-&O%>g0zg@kDgYg(-)h#WxPefR5~O{uJ_)C6l3
zGd6k$Cvh7owhH{ZjAnd=Dfv0!?mreUZeuzBi9AdY9S4KjG2knEKZ0fg?4>m>npr_&
zidSx_!4Lla{*=LR8y#TX#gcM?LwU`=kg-hD)zCp^jPU{p!;JAe8FS`nHRpuc=jlkx
zxbp*q;h((4J($OWuEajLjW1&VyT=2tZ$eD7glNdQQ0IFQx+|a`&%)+$Er>tNls6n&
zEyiAT^5k@Zqs4LM3fOCZ<n44tU_@36&?#T{5+!}}<t!Dw@ZkxMv&p>D*j1cVfWaXm
z`7iP2<l+4LdcDAgf>)d@RxZnjU&x-dTkv8XZ-l~*Hj!`9q?ZK#5L(hd?&He0+Szi5
zsToQ2N>ZZHYVBw2`eGf=X8m@&*c^~ZIpV9KLTK4eNJKOMG?Mi=`n@{*R9&4XHHPPx
z1ShAmQ=U<-WB}#8d-ufh3@iY;5E~eJpgUKyp2lsscX@V@t@)Mf&zzx>)O7N{0WIlP
z-`vr@i>{uzIi`zahCbMW*`B&?$jHU5F9>8V-zvRee84BC;Uj*VnZTX#yw(r?GW)PO
zaYm1K4p<W~LKQaK;Ghk(a5cR;oX|ufk=hRpEpHCs(&fH69(hK>E{pWog!F@F_2?_W
zN=mg0qh^B@0**E#fhOnNDBXJ8KN%LzBDTL719-Ant}Q3;W7>>Mk!8WjkmJt3y%;8a
zFkGjh@`9|dNJ@V}M`;Je1iXJv!WgswV8DU>^GCztUYp%tziKz6`pK}uHh{LMr8|PE
zbaZr%v-O;)3ETvrp{NW?O6iVaeel)!=}K}zjv$~^6~^Y4{m!_&pVe*A>3bHWep}wI
zTiSWHE39<-EsF-8d{(VED=7k2J1I)lQQ43<RgJ?Q!>SITfKRsuM;6MMOkJ;iTQ2n2
zHmdZ<Inf?C2onkbo7Y~6(@VCe<Oa&^eAajwnw8$0EnSlOEl^F_yPp@XPy;jDT0nJk
zuBFZ*Jd6XuOJ0Nr-mQVA`|ZRdH1Le={ix`g<XPM7Z(-9!H<z@LRGJ9J5E?jeg<sw_
z^?S_48JxP0K5=Xp&eKteZ;);tgK?oa`QS6T5g3Lg_t(zx=Z~|LIg3)i`GCd(u##G>
zuX*&ZBq^?|ub0GCcU*XR%&I-#nX#;#wdc*dUQT*Hlth&WeZT!da?kpfVBM78?~1x<
zE>zjfx|HUQix`hob$c!0=O(fAX5Z@_Zw^!Oo5DYqcRZG8<V)O1l6=F*Z;PuNzMs9H
z{Tl3N0_L-FiPh%z@1*^xty0GO5O#2-VMX#wfPCLDT1$nq=#U|yU7S2RXQ1@zc~Sq|
zs$p^Zh;QdAR}$kD8d9ThN^0x&um>zMhe4N~*6p(hXXC)<f&QE}PHlR>m(RWri~6`{
z{jmb!9xu^1S6w}YAp<|vAoieK!CbO894?6{iYk6@ed)>;@$lO-LbR#%+au$L>`VCe
zJC<YsKGTySR=$bvA#khbgo<s6ef$}2<y}Qt8l=~q8oC$nRpT=dZGn+S61>35f*mDU
zat11ZBbu5gdFslLZYALJj5oP3_1iqfO&iIY0Qp=_L|w+gi%MjsDu=1RH=B)1mnpE&
z#^GjH`=VJCaFcGBD`&v0J&i$=LB8Dho8L2r+{xAwsBZqvJ4LCK4sfi?S60rt`i3L1
zt)}lI+Im!9Gd8}_0nTc7spGYE^P1So6yjT9^;<VsNYyOD)VRH!+Km|Rq&dCa_xdfj
zM&4Ys37W$saB%jU;jfFDR|IzwU4y4>TW41u776jKJdZ9nxDrEwX$R(QmrVyL8@iD7
zr)QrBlpoEnMrA>teSFY=&_9=h4D>7cW4U`WgQO2ylLL2sZ-+5eKC43q8hp3R0u|)V
zt*y&IgI2M;a(<v~qzECs=!Zu5qpj~%@e6G}s6gXTH=vd6%#R;sz(cbdNb&_Hi;tDq
zQQQWb+j(-Q%XRTe_;S0uZZv=gVd?ZchdX93H_{>l$whX#wvv~6;Cmd;ef!oBJxWBp
zNP|66<nB5s4VkO!cG6h*$IeGi1qrwb&ojDxe?<*DYn<-n#?RX3=%@#!`jfmQsW9t5
z_~>A@r+SD57(kVmX6(%ba+RB#2gsPioaD*+JAZ7QhB`!-+Tje(s`?ED@Zvn9o032O
zxpD2yyYu_GzZdr}e|)xe_3;@1)UJou#qrKlHMPEYDn559eXG9vO!V}Xz_x**>&e~S
z-PxMlAfPX=J_q5?`I>d0*E2A)=Hld!5+fk73}}Lljg39^<1rA5o%hRJi<c1T1j3oi
zL1WP@k547qPfxs-YHpuJYG?S(*%j8eUc=5fnWk#ZUZ%1|v74W7EMW&XmsAym*lF#)
zol^v3W{js>=Arg^UMi1|`dt=J4M(C3Z#vpH_!+x6whaR4i&EFD!{+ufZU|`N+OFgG
z)|30PL!iq14}Se}dFBOb?(07&Y6CCPtydk3mDJx4+@JHBKgu}+wj6SEk++Gv1#}fQ
zy_)X2E{YpmUcsdW!qT7i#ZI!U6&0g4QIY*C1IbgzS*tZ&*Ks%3CtYHB1^RzkLL5#`
zP_8bpm3Lo!tKZ+g#)&Wh|LT;NC7@dGt+brq-qY2%uZEP_|Ce7_1F+-&m;X<$0S-xO
z4(RIP6CyDTDnOb(ge{dL)KA$iBjp>eP`oQ*Q|Sq)R2_BTFRJ4T<(5dx=vmT&F)Tf3
zI4Dy2UGbD<`mRu$7jPw*N4Yu;+>7YXBnmQF72Mn3sg&6W<ZiJ8@J^7iXE%y$Er~9H
zGVxu$S+8uZHlEO~IJ(D4#C@*+<RR;s2mq%AuzIE<oP)l(o)>7mj57(Lk`npBK+ZYZ
z>~%baDC4P?)6E%BRMfx;V7Q(?iy>s6Dg)95sD~*v0OfpiUB1nGmH_gew|dlALUYZS
zAExxy%aSFW0;B5^P=~BQ4&<MApd1Q2c>hJT(Tx$vHI90K5-saaEpXhrHxqP41RMYd
zZ~(=?Rbl^WpYJiV-GzAo*Qp0EonCLDv8bD+)&Wkn^$D!w??sT8`XJ+H#!xNh@Z8fJ
zeNEiAzY{@$k5|O5PG5jaQti1`TAX!&0*~)O*|V+WJ9PTd`n)T}L{rdtOdZLNjKn8I
zja4u}LXwSvJpi`jwjM9y^&24i0=)n7EMOVR`F#iGxpICI1i#EeMcsPHl;92p0I-mZ
zb+J*GZ&Q41VFTb>>0lZ-AaO&0#F4)McbzSfKnq=#3qEV|u9Tb{R^m0@)ZZhEI#$^E
zZSY!|8vb%W1#rdw%-$Dc{`e87F9DvOJ^SryMfWeIpAPvZ-KKYi>@iEpm=2lm9W{p)
zeTE_5o=<7bexr{%$9?*#Izp%a07ebmhP3Q||F|8HWuX$16hXw`QY0m_U3DSq;VaTf
z|Ba4NpSv6I6>+nKOjuukaO4J1l(h5zEIkx(1f1&WQ@@znX7c6$f5^lMqQD%rR;pDj
zq?Sm)oDtV!N+i(2tj6P{o$s&f$tX@WeA3!02^95|JMsC@z{?u{d;a75mkU9mAL}`^
z7S9M|QevB3&mT~ZQYSYO*!O&&MOOq|x&De#Hl2q+<EWRqj8n8ey-Qhibq6Y7=&!Cp
z>-T;DV*eM(TVHOW9=VaXkY}OKsev4v>z@{c7*1B}Q5M4#UjrFet3QrD;%3enDDJQ`
ze6{MEKD9aU%RcE!j+rCMR||^kOURxZH38ld&;L3_JIP#Iu-x`eNY8*YI!AI|-y1){
zuZ2#!GZ}SJb)msFpy{`OCmZ?+2;V{4uBpYZ0vts*@sigO#95a_%M-b*oG5Pu%fHDn
znbQCeJ{-VF)PS}C;X&^y+(7<PBHHhzcLZ7G2Ca40H)2&k4MTKV1?Y{ByI;A*@9h*%
zi2h26`7js4YCti9*xf97^p8_6Nb}9zr{6yb9w4~Uq8InYL5!T?2DLRRG~in6^_a4!
zmBLK?-N|P3s*}?fq9BLU(iRIn4z9S$N<SBrn8-&y|LY;kOYC3XU3M;7j$2`?G(IPY
zI^2zfc~$hxj!?V5Gynlf(K=X<-<|ZmF5}+6;#JCSr%dji1K6bF?eK6v?|&>*r*t2D
z#Sdj!aot{mXNq{>`g=Razf0S;uzbk-<ys(9^$4O}Eo|(`6!|6I$6}aY)0D6|d9N+`
z4-cwiAWrK4qKNjE&+r~B-Y`r{O4d1_$sTTfM{B4s3`=Vv`Kj||Yd4pab>_Q$GTK`M
ztChN~=4~H38Ic=V*>k+aYTqICe~1BjAUK3@b(CB*S1j~QcOc)Y0#>TGNLd`km+>M*
zY*8n3Hs5)!C-ZQ@Y`cRPzo}M8{(-cjW$PLT#~M(C_b*CJHWo#bOhUYrbY^v4P@Lnd
zslFe_;f8KV<nK@V^dnYn<@lZFO2P3=@F=LrFA;e}Kqc;){T$bmf1V>yA;bx=IAV<i
zc|MLY-`0x9GluVfCEJDYCNw=DeM-QiT?g?=$n3(7u33;DAC1<scfELjlCqy|ulqkL
zJ7nKM7jna&x_5RuvaI<*+uoIqCQG#2#-`nri+K9>{;QJTaM|QlF>7$iEI?WPO`-d^
zd9IiWl{?;(oC@q@e1T<CTd{z3#eVZDCrJep;it32ebx??UFp3Cj1%LZJ|Ra$DmgWv
zHdA#*flO(2T<+X}7N(vUjUxyz*=}7Kc8h|#Cv68hU6Oy#*Aq%~(whi@)iMJN@qb!K
z;arZD)8e~!##KTem#5ZrFlN60ib3LeLw5U#n<I-^w#N`LssY7m6{G(y;<pye3N!lD
z@~EBD4l#q~T~uXJTJuVcD?G)EZPMjLOmXxYO?tZ{OmI<zBv2K9LlZaXmRPe_1<X@f
z@vY6hOAFt<!kzYr=6~tS1jJ%#(u)<f23KEiz3(p8k*nXiVY7LJNZct2Tq0+QIt(E`
zc_P7_^RM@j59FKn0eV7r5n7~bSPR*)PhhwfdpBKyMyKkb|CEZuyJ~0a!^;5~YJMvU
zgIzc1-L4myh)Z2B=`kP=)CsVE|3DK0xrocvyQIHv&~83FrI&EWSEU^5MM<`OaGt`g
z6?z;cTm7n2`Q^;Cb0{GOyT#D5(~SQtku&lo4pq(5kiE+BbWdC0;#2=e+w}}6*ynrw
z`Zq@yD=BjQXOj9>=fEI5pdfg3s1|5d7;1`DmVb9huRK1=>B4fbe(IUe3|)188BWI$
zaox+iK3?SiT&{4gt>6lc<?dx19U6(K+a+c?Z)T!dj!9v8kWnTLoh<Wobe)2cUgZ?M
zQ$TY6&s}e;-L!|kN;h~UJ~y0ubL#*ObOKCrz@H_@*~B_J762&FQF;9K7VTUD6a>Kk
zb)9g?TJ826mD7E%Ii<vCZIqdcTZI7ZZ;KjXkeuMNSp(Us^dOMsn9X)GIa<x2(3DQ$
zKCQ+!0GpfuNW?h>5Q_^R$Cv$t$tH5|uN}MK;3W5Ey&b5vfce(DEZ#Y86bA7Ny)uQ|
zVfAoGEn9zO&;hern_Ut0<{^|CGAHpeZ%<4*7rv#8{sqnf)x1AOeM3JUqMoW<F_>vk
z)%mW;*Si=q9j`h;oGme1Osmf|%0czARo-&^PDlLoKFN`qdRWlixRdR`I85Z(?&tZ3
z|2W-x68Pu$4-%S4BlmSY=bf@o{W#bOnO?z;fKd%FTv*ik>){u#hX^dp#?Tm|NBW1Z
zez_iY+`VZ=kObZE14gc_F~y_J1weKGqE1r!53+5*a-Q=%*`m$Zg6s*h(VE5uiWC9Q
zva+C0%+a#cm?&4b3a)G?>Rcx{={xBoDwsKORD;jQ&~D$we_z&Y5=u;6B?t#W*9mkY
zqEN)&PNr0+{ZO#kr?AhsA@KBQRJ$jiRqA~^?G~X~KWCGj@4)r-V$)a1zly6Ukkv4>
z!I}Dnh{WrHNWQa#B=)5%P~{7I3=ElBx2S))NKG+p+^c0y7@N!Z0#`7#W{&Zy(=?J{
z%!lM6X*m9$BJc!=OasiOl<eVx^b|~I*Yc?zi$)$ebocg+1^IudlOvdUmMO#hwsiJY
zr;(Uw;5Vif!`x7lZL*^)6f1By|B8Cy#A&X0ws2GEnp1SG494_zEt>8?vRu<~l~z$U
z#i6;zdiuAw(2s$v3D0(7V-9cD-0=an_wOQlf2GBj!tcowoMR?%nQ*W_)3no%_+3gq
z*kC@!*H*XZGnsU<ntT-`>-mlq|L?%~tsT4R9=KpBCfbShpR)g;qCZ-tS0><Csm7eK
z3Dkc_-$HAxzw1YrlI8iuhV`k=tl8!bxvFRR^lAhYE`1(z1}il14JDrci+>@R0NL4s
z9!~vqKm+i~Z9&R^P`4ep%a2M)WK5xOD1CfbOoIyqd~bm7-@eCsdM0kQ7y+?csAr=U
z=EQv8s92$?WVyJgC4akaz^(b4UjK+(&gY??Z{wz2rRSjdkOQlP#&&m2{!xkhZ$^zH
zS33Il7~ftqNz!MHU{U>t=PQ)~nBc-2qF9<1dO6<z{f>YFDy0~$#n6d{``HF`92D79
zfzB+4zXboUG6Gx%6X4?h-Jcuxy(alrSQl~2mQl9<FL#p~J|zv%H-OjlfA;d^=>W`e
z#b5B|8<NZ)&kS-xl6pw&_L6Us(QxLU8v(8O$!;QW64iT-UeE2tswnj>4D1FvybnwN
zSA~Iu9Z<z|WW^0r@ma2ZTFu;B^-OpNCi<Md1N)_#g42Aa*{Hlg71NT1#bFp?dQU|`
zZ|Gvd<ls5rZ2S$60503%08VmT|5uC){*Yhj2{|CL6<glk<xyL=b6AJSfZj$3^L-&o
zsv3or*55a{J1-RfqkMDXP<&?X-N4wvu%#snQE~CxF*Bm>KXH;6CF6k6n9zv{GB-E3
z)2kE2e%{R`2WkS51x#mL0_H0Py4;*^@qzshaex_z1GlV1_WK|XV7z8rG!av0o%+6)
zLzwR)I6#<NwE?tM6KpQXkQ%6q|EGT&kK!ZtIbhV-UWf^OZqn0PNuZ`aYT;;)raH$}
zig+nRxpNSCQ>FA&=k8%iGt%$gTkK<*<a~3;H6@4d1F0|8ZA||gg8&A68JTBxpkPxl
zMc!l$p@S-3W+srlGEdv6Pg^)Km^QN$jQw?kk0~z@sCcjH{(!~`@*Ls<Mgqomx81-O
zjb7=eTtQBW=2d;-9^w>O_&|KBJC3V!W}Z8o%q~2)$S-}R!*$=HiTYuI<$Vio*hL-<
zu`-!YS`OkM5MDjsVrw(j;WOql7BIHke*ckI3xbm-clexxt@ogks!Iq=h1QG{2+xri
z_+Dj_CG12CFnA^2JG10mdN>ji5|vd|b#-+;Jw0d~92~&lcEy|PE2DN_e&Ao^m6Spr
zKcJNPwbT>7F<pZ&eA)d94WC9J0^s-Kf!Tk`76=3)Z?4Hj^~p8x(K5|6z`RL~0Av5&
z4rNOPi38D<%gunNj4ZE-aB(ev4yJGp5#Zse2CWm_0~W{}O@EX28rky5=+lcYZ;pcA
zApO24Fx`dsvRLiUwnTY1s8|$K$?NMAMCxF8d3llBmzO>~9MrGF_Bb|2ZtwWMWSb10
z?&8doBPx=`kbD14h@mwN!_eG%_Ej}L-1<uQ%^#ocG!y{C-=(zdT@p}1tLwbiKtrqi
zO8MnsaqrNJTCr4$WcSR<A0E1E*KJugM)kRJZt`UCWxr6_wfQM9C716U^Ss3X|2c_#
zcf-itbpde3k)}!%%7`ym*_XFEmD13Z2^i<q;(_`Gj9<Q&w6(ce99pxXoUip-GQivZ
zdnIS+I;&C=F&*87!k%%$Ju>zWMMY`F^L%MI5l2Tybqx(gIz=j?5)!KSpGQow3|>!`
zA4cL)y%Dq>`}ir2k|!=YI{L8Fg}^QC4B#jEA3s*-YH~$FeFFkYqz<Da@Zqbk<&thx
z2KP+U|2V~SsV{qA2Uv0_%0<)%$#S6RRiH(PL5|C#=1x%(xL_b;H}jhGYzH*1qohCl
z|FHEIUTv>m_VDecl;XvUw@}=QTY%!l-L1I0B|xBf@nXd#xD+Vv?i$?Pf)m`~&Al`8
zUGvWR{RPSTJV*E5=bThs@p@OjBVuFEto24$;j8eSUI`^Ujl>toXT~l{S8;x4I`_LZ
z+J8)`@Kd)d;+4P^X248tYPAi}wCmqK%lj*NfIeL`eBC~6qTgSyLRgA4T5&-x$&g}Y
zaVATJbRrZNu1!oLXokfsygb2az`r~MSEDm`LF1q=Qb>!RfH>=#Y>obZnJO88sIw|L
z)j)o5HAfQNTBGr8cRZ370Re$EZKJ>ctG>QI#7#0tZZ5U|{It{T$VepO!kirZ9%0r-
zH31La8z7gkxstLnma+s&E~|IaF%*fK5KDZ-qlshjZ{NC$hrs@^G#a_t8yUnKa{9gn
z#CS<MWn&}hY0#!+;u_e}>0%lU3dE=#U16D>U8<-v*#y?9hB+^Y+6h1ZlvAnTciv?#
zO=8a08y1*P-TMmmxQHA3EfC9J3NZt+9%jWM><(ect^ZoGd@!v3WUI}Y^(q`DCJqrF
ziyPe+oXa>Crd!yri@;gYTTfnj#~sX0(8OX2D=yS;B94lw=jEh}DKPHsdT(u;ZEOW~
z46I*wKVwMBFLP@%`d`M!0DOLx9>LIyIBL%z3d8=XA^*z6%IfRcX0P>l_AA7(u%yXq
zY;pm0*~-;iY3x)Uds)N{t;(7j`M*z0q_tlkZmvmwW+_m9Sw_2@hU<%qBYAs!laZ5)
z6eBM9#tC{l{QmtrPvd;EF<yL=jNfIv+0#)mOE_bL8)0aOFZpw84ioWeh!2Udx-~lD
zOv}+*cK9QIsE_`>aw)yk!JBPIKsZ5LJ)hrA6kHcjsPu-TNzLFl2A2wF`Pe)XPMEiI
z+s5Xo)g$<tJ=++y2A{F$5C)klvDKFcM>~$sbzR)BivptgI*#Q|mig*K(}-?dPeUl#
zOvEP1nB+8F2LHA9HKu=lc|aaW;qgSsiY`r;XEz6x8(l4(_r7c7+W35QZHm>znyb_6
zW5q<UUBVt@zFOb-sg3u5z>;;%47RvG&74fm;%-1@gZXU%LO*7yT9@S*3WKyn35y+J
zDmfU*!;Nr~gc|&YvyuW{ys~zI2p0fm5^N;}z+xzbOwP9lCk=N8wPGVaH0jpbsG@lw
zj$m4|UC1S|;!sd1N=Up$+=kvhm?=%?bN<`Y)3ZP^Ll(iMewu%VU^wSDy&X5u*Utk_
zix3oVG`?-^y*#s>{e73GS*|}gnJ<^ZX^Dln_m_>h!8%!TyPd7AFT-}S!ut2lrC12e
zWdIR7+a3NNZm)DE^e47X13jn0T71->X~C5>dN`~ibfu|xh+z!Bjza=6qR?EM#P54J
z+JCbK3YZhKtU4^pEiwMu>w7{r9F(YR^crf46xLXi(P6-;EmTdp75XUiLeV}|D(9Ns
zTyFyJV3p6{h>S`jbl$vtW!RVhR5mcAU2zI>wRj=(D9`Gv8<qPJ&3Acr)&CLDSQSq#
z_+qitM0~W`mii+UVm)+A@P9(d-3+N+s!#%MU0)HbNWMQMls|quY1N5m`vbx&dnNS3
ztT%Y%7eKL7gOAhsw#M>ydRXY4jwyt8J=#gb>1~Pp#Y^pkneE<gK`1Z-z8Wyeu;r!k
zQMSkB;ji^}uN%AWKb<Sd?53ae43b<<a@Z;;Us9jf*Cwmc)A$<fX_sb|`iGZ-A3Otq
zH+&nlH|(#LQ4Rc;-gKswrA42rux)Pnmfa^J5>tfHo6P?HemS_#GTmc$xV>|2<J&j{
zT@+DK!KR|30`PlIuXkK4Xm)I9NY#@MV=XtlxgiqR0pEZ1&hq=Kmg=43Tsb*xEF*qs
zfL^uR73U<}$uQ_7OHE&&jGdhwLF<QRXMYI6reu9}vHhpPq&J*6!1lj#q|0N|$A6<Q
zB61x*d_v@OVv#qQBK>PiiPzi_CV8exfjEcre*0(r(}yZbPI~OI;nBNAOqWF*8}FsN
z)v#tWZw$V$Q`@WKFXG!YeMhRF;)iM-Ou+#OTAl#@I#V*!=DA!C9qDu3G*e@nAC<8b
zA#VaOt`PsKi^JRFoQOp>a4n6~e(>+|Ad~?nNZVIPPq4kQN9be%Lu!&q{-HDNbjA(k
z8^^6^mu_3!)&qh(E6AgI@k;a)PWvvS-@k$4(EFcSgg6BaTCrks_^6UliP-a2N4r84
zR4_1&=W)d~b<fi;WrT-xn2KRYB>VL|aYu#CiTp;eu0YpHM=NhF=bPfHPvS0MEr%@x
z79$QM-can=#fjY04z$TXH(|SFb5%o%#Ke0{ijDPOZ;z}TijAkDksGg3u-&cDlj=Fn
zt$Mi^TUlLA(&P?TmWOMN-eXYTMp8QB(tU4h_x$T+fu%@$S`=<{ck6m@lPQ8I9mrlB
z9&zFNuQwnN2p>N`O&K3iXXD!p$)Dh-dw0Wj-;8^E;t=i3w_6nk&9ujytS8>juV%v;
zR(hYNCEsSL<b}YftO)%d=Rz9Vo8GSU)|?M&bsp~TvzrekxZMaRA$|bi#r+keh^UT8
zNJ)E7Tgt1wG_toZ*hu&PWT_31W)vk7)Ck9I`vW*Nv0tB!PQ#n6`&iy?a_EBT#&E0M
zl;KJaCZ<;011TkaHfB>zaK5|sVhn%CEVbFxw*A|oeiHG}jHW<}q0(l=IqunbO@iY}
zu4yp?2<=rEL6={mtYln|UukiPY=yOzb-a+L=pr`haPc4U7CD$FHB+Nl7=L?6r^e`n
zhL$8mD>?UBP_^S?cqvqwt)fo3pCox{_M2S8e`UP21Po}kg&8BD-5tCBinCZ}o<u>8
zZc*WCV|v9?royO|yffT+h5lQ4V6+Zu)5z5hJjyJ^_oR1=y_y=tQlp~#E3aSPNO2jM
z^6wJ|B7$(Vo9WAPG#9IRRAZY3$II1(H$!4q`%F(e`m@|^bI32&S!B6M?@2e-V3eWf
zLv;MMCQO>LE9JM(CCXc@K+21c&q#pw!_LeNg3p@a6j~YQNJM8`x`^2M*nB3}ae-(k
zzJAwPPSbx~vN`06a~bZP8o{tIrDy(}{|~cG!fo^ESnnBP=iKhbzT+(ws{_}^!13}1
zfn-WY<4^rpA>t?w%MG#jPXFViUH>>~&Z;!!=7u|4PPrE@f$vW`?0|M~fy=Ur;quwW
zDmUb}Eeg=>;ax?$DfaYD3>F@FCeWVJtvhC}(rC>ZMCqLX^K1z|yjT83G*OQQ-l8yu
zv^2to1F^5J8Bk%(o}&>DVk=V8w`bdiAI{dCo?dEJMX+{f3@E9f4euH(Sp|9JO&<z$
zfG2w0y%&aE;9I<mTYhP2icO6wFCQY(o~f^nC+IhRY|EjA*un)O@rFs)!$Je#{U<S$
zD;1|9*Z$Y<h@3xEKDPiL*I^ZGIxhzQR+HHNu$xsU#0~C(E61?bU<S}(j9IYbC!!u9
zD4vnXPJN&UcSLq6q$hiq`8vbz+}XS-8(sRB@}xE?fd&hiZS)HS{s=z8VLc*~eF$&-
zJgF=Wfk^T+`%F7dL{4nIsq)!>U00scRbcK{>15)0Ut1=|Ac*HS)9d_N<C2AZkH;K~
z*AWFQF8E*+_ZF(f*$~d48~y^xQKQEMwAWd3*$?e>3{A!b<fr{P?5p=K^;3I!4e+BR
z8d2*MUzWS{ipdFR15d7PDI2bd$jj#tfj`_fz+&23Pu5TkFZas=QHA*j>AY~fUk-<T
zD2ck5CL#=8v}apMb71#%1fe-fzJw`zqpIEu7(Vuq<Fi7ols!vEh%MOAoSRDj9va{J
z6ZEW=>QILIVc-M(&wk$Cxz?c5Og3mvVEa>ZdhoyTIt3M4u?!B#3S}a<B@kcxz&qo`
z-2XImm^W7;C1e51nMfG64=RALC`g_59GX=96Z{s~i)lP8Qt6rHCcy>RbX_m}z~|>!
zY{;S4R11*DEwO}NlKw>dN1wf~<xx=QZ*75CmQuQE=Rx}2=wtbqwG8_7;n()TCF|G(
z$=j@*e}d&2yxGht^)z*ZD{Ley$pnfXm1O*-GWe6pGNnPA+{F}kzeffgQldiqShiAH
z&h?}H_<g;AtN~|;_C>h`c=oA*Il#dgdXCU~$P~}F(@8in|84C|d4=7fsXxJ5;0`T1
z8VQ1JJ{dH+1eY5$%RZF*(N}w29jNNwOd~u4Q8bE28}TBlWVz|IEl%RaT2%5yu52|Z
zYXjN*!)SHF+REZ+Y+~#FWZf%rfm)OE#}xgBqZfrhV9si0YHvg4=pMbk-h+hu5&!oN
zxi;(Qry4O3#co$yir;vpy@`&!pXJEqAX)p-a9Rb$544T3Ok<40RlfZu4%N`Q_KAIH
z-{sz9cxPY}yX!S#iEla0(dH}bzpnKTcco>?iej2ukn0yRthJio=cDb=8X1z3k=rro
zHvz`B`kcnWRCofYH}eo0JPW0*5oF3$+S#p$w_3})*Ln5Ia~TiU7D=HITnyBZM`aUM
zJBzLD>q|Q}UnMVG=lw6?ogMXBvsG^Df&yV{xgx1mW2fUvI!aY$VgJ?bB0<+&?xgU`
zhiTPvzp_T!mrj~S^GcVue*Jqp35vpzr@%ep#;v^QZUTZMvHH%3avmTfwzKxj0u>|`
z(gLC^wun=%$&5-P*Y6GwZBv%=nHw+hi;537v>`ldgrl3cl`G3Ja9D45Zc7;YhJxD%
zC2DM3P+wwpS@*u-3L#SPxSytmiB2A2Y0FC3%Ynyrd!ADFMUW8G)7h*aLw`=8Ut#s)
zG2Y94DbOHZZz4ZquRHZKxRi;_q^+!N6#(dwgtn*5)<f3gNjZSaR#;hZ8TOCxVS=Fu
z_{vfGHQma~?QyP_-O^8;rR#TDySGXV2}$)rs4m2#1FV!nmPxOk=1;c9(hB>hK+wWZ
z37%k-W|$j9D>THq#V)Qe(Wh+vSb(d$QCd$5<8-vESB=lf32(0A7OoqzX9Rg?D232E
zSC1!IExm=kYF&WAp3mGjJYV2PQnS%EjME^zH!);Goj<`X@<9SG=KsVpse-Nx@3VAa
z_qcYHy3VnY_lGWipJ%Ud3#mlpHGLF1#(KHv%>$e2hzXjQP5LY6Kd})KI>+ymGyPQ1
z^0ydsxy+y(7$kjBU%Y-tL76rjw1#e6UL2y@|HFivl*9E7pqS|f6W#u3D1~yt!=r7L
z`!|qmqjyv-4X%44Kdkx-*G@~tDy~@;efe*pHskcI_I#yIR|;e&Iy0K)StWwUIWBAH
z1vbNq9|7Xe9`-6>Lwhgx<7pM*R8t~8YrNhgBqU@uY~fp}*)<}i`hbm!3K0!_gA4F*
za>`cB5P1Fi^;heesR)E0nk=_^Cn40Ng<n?;OVk;xCA|(1K+FHCI1Un}*}}DnA*H#&
z5CdbWvc-`lx9A7l*48S2%%@>fs)T&U*uX{d^fN(^^)%zh!$5GcnPqsUa;9RAn*!PU
z8qmXB=X682{tcPjTwK8<Sk`=BN4ZT$dO611w>#VSbJFfiVRCI}|2fCc@@Sr>CV{=f
zLt_)0$V7L=@L#Or4~An6M@wQg4NYtccP|BEK!Qfnn3S^OggFdy#5ukZbOr@`YhmD9
z!C!9KRl!b<77N9T1x$w0A|7K|K`f>RS@{F`g~86kbOo$>vX?8_dFQ9EM=hO@P<}_&
zj&rh&ru<w{wYkNfd*`?5D4<c*t*muRL7c+=Ef=b!DUHA}{w-G?=@Af)1sdw5v3CFc
zcGW-#cxNoqkh}x(r%)gFBWPQJ5YslaHH8)J7#Cv^6v$b>_LX5xDFeg8t<=SeNkdtK
zx1+e<BjB{aHM&Cm9uD}??2R(nl*doPSn_^>z;t|sKgd8NflGx^sMULKc!6Bp>L8n`
zmK@FAl_WX^x@BaSKPFNNMU*0_rIA~?NT9n9KeZ;LMec|nNABs?@2U?4lOOdIBd?Gt
z3v49<&xV2LQSq3D(x9#O-*oO5`>4K(F@JNXRX=w;JN|xArpPja_RxYVKTj*}61dZ^
zSm19MxkfolgMeN%uHJmcwzm_msf6WSLGF4#UfuwoFOL`tYFWgv@K(4CuX76(64q@o
zF)rCTIeYtNf5j0nPUagK)g7;N1$rB`hd;L$f6FvX5ieZ67t4}}NtYbr^xpcFH`j}y
zj1vl*tPcoNUX#KvQqH3BHUQzKHKo5~{)-g3ZZsx036WsWA;gKNKm5bU33Ox3C)$RC
zLfStat&*~mU1VzoPQJI=i>(+_{smgwY+3K_a_HYUtV>u6*Uil@2vKSCid+QxPaziG
zq;Kh6>HweTv*JseCq7hA*p$dt5z!ADMG!hY^~EaH2tj(*uBd<tmW+Cb*~&QgM{gRP
z4I2X9FZh8~vk<vy)}37%boHUr53D5B>nDeR1-;Iux?P<`T-nR+Lp5Mj@+<~TZcPlM
z?c5T;!_CdE-#XRvHP-Ppn}R$%Jl$^a6ijGtPR@Hl4`y0gS{ZW$_`zZDjrsqd+)BYK
z1EzU2m@Z7!{GZJh`VfGE@uBug>8Dhav|?M?{Mi*a*4e!W@MI<;Zoy4OVU?oPO8HN>
z#3siPpkQW6(3_91lsMYUhH_YiI~y42afEiYex;R=nEj1)q$D`7I7HpiMpwWLYAu-w
z;MrDS@g_Z=*D;P?c`eQo?AB5u76wTnP;9ULmiXXd_$+U|ycGa^FA(uudo-a@^meX9
zl&ATT%V8zKcg+4hU^=B%@Yj0nHulh7adwWq{DKAfJY|CjYNkkAOVAk$x@p0^2$xIZ
zx5u1bKubJECdvrJ5t9^yJE&=#WvDpUfnnpW(z=EvkvxC=OiOJpe@@pCQ4QZ)|J&<{
zU}Ua&cjv<e?eut3QhQx<3myHzDN;52yoq5Kyp>L)n$HIlWP<2IkW=d~cMj;u^)`YR
zM9dJQBtkx2l58rh@Ppk=Xuh$&yxQ{|6BtO*5r)iCoFJ#hm-Pn3$ZZnUuejOvt)hPp
zM^I;~l&`PLy`;$co7!9olMG&wS^f+R(Lhazyn<#KF7?f)T3D5YWvaxJ<o<%++IF~c
zw6=M_JC!sjvZ21`MXn<ttz2|nqx-9`5MOq=vG!2|D&TAz7_&M%Qc02)jqFo72coMH
zB)W;tHPzvq))4-cYku0Zr;*l%_*DF@0jQ(o?31{yRcNVFUDboaLPlwLdbY02k?!N_
zKW-oasjA}e+64xcG77aMwyoI}Bka$Q7ihbKi8?ja>gOWd$h06icJOgQ-kc=Rcgl}&
zMeg7&^c#zv+_YJz0}*kiNbEno;7AB;^Wc2SQjy(ufRaylFV`|Ql;cWZ!uHa~g4x~t
z>|C;@!T^m^0dwSBJ@;vkW<;kpabJyYqDj$u<f?~RL||U)u-l})IlVpJN9odW&T<1Z
zVt6fYC&5k)Sy4Gq&GV4cZ&?9eBey@n=IY^|@ynA37cZ#LD2|mrXHHecm1hPpZl>j{
z|70eDb<oA`la*p^P2Ll9tqq)ZKkkU-91KDr8VGbO?u(0$k59<Dek9_L*E_73tatcZ
z+1k=2>Xhkn@2{$b{)=5>@%yg)!vLtXqXCHMSW9RX4W~ym(w=aP1U?gqjie-w*u_)Y
zJAb$mZ_c!a>m%p3&=3Qx$sEdE=j*`^vi51ihI0!I_Nhbnpr^f=?9U6e8o>`LlEdS1
zjP_p6w=Q1<V7H#1PB{Ih?BBUx5a-e^r?mxR9!o*jr^8kx3|E!Rl2Nd!v0bRG*qQpT
zzI8P`|6ctQWIKmN10GvLhpq)TSJ_T{qm4Qk>uL9@7TJasQ|eTy%KZmC?hUK9)E4kY
zD?8Nc9GiTbpUP-+Ah4IFYn&k{5{(?O`OP-C{FkZ?-DQ>FTR$c-3U9%Ys7vJ%+78C4
zxK<s{1JI(YPvB%IO#1C(GyBeO{6{6p3_v1j<(MmxQrlmdcw7C0EMqlJjIvh;1Xfcw
zY~{-ejY*C!t={-wruVOo^n_A%{M?O;T;;qxpE87ndTYkVnDsdVsYRQ^2EVbvJaGi!
z+B`oYLVkr>&{t%D{lSR&4>?dri<c4{d5XzsVKLB?SH0yyq%)9mp?k{g=Hp2$IoN__
zi3sDH-3!m<{%o8mQWJ;e8Afy_Ah}!`ND2<JZM#V3tw9#@@-)BOO_W$cUDs(K^)KH_
z=5C@!@~+ME%et0N2Lxn1@Zh=gent|xv<9+@)fDAMr11VmUJ>N69RC>`L>m}?N_mgB
z!5KLCq&HEj=e=8|J#_q@ou-D)QV90PMVBq)##&)5(>{-DNlpv8b8C&ADRlogCC#*g
zelimZZ{)_Q3OVt3bw0eY#`Gx2xB=Ak?&(8<r)OQYsT8l5r;RKn%mJ7_2+TGNfemgn
zGM1E}W~z4&q-LV?oNuBJgTa=RnHRb$lM*bF9@!&-Fq?Uvqu}A)h5g$_{-XsBq`8?b
z9Y8TBxeZZ=tdYU_o~%8XY*^j$;D8%&8)w<;r<;Xv$MF7!KN&}Q)1hIx={kR$-ass|
z&l%B0GaM8DMMG!-*v$mPA03tYF!vRrs>HI?wczR{HdcG@O;T3~1w+NQ+0@@2+DVD&
zeFQYuU{uzOhKfH2Y**EFeUVo4Dkvu1-L3z~O4e|jFicrDey0c~%oK4kT`KazAJ>oz
zfR(p70A2#to}2f?$qdGS2_(v@=ITl|DWs2P2om2_C~xLsxpca+9$Ma5cKsCDU&}=v
zThSdig3E37W14LJ%GYn%PJ4ERIe(~+VX>U)VZA(FP9Gdja=z+QSp~oe?#0k`M5=ia
zL*4~SH<}p4lkqgAFxTfQ5yv>k)3bpXbnn7SD}Bq5x3H6`T+Cc4>~F1yBqvh&rz)$<
ztI#vdr@f_p&yXmxuGMY_F;c%Dg8iBs0)Bs)zNvvYVsE4eHgh^oU<8QW6vBOquMm93
zGla6x;0<TCt6HZYx9Po<mLaV@5?)s+y{C^RmYGwM1;+d7w2Y4dh%(u7WXJy2o{Z^^
zb^`qxuVp<btb4xBmStljw2eOT`C(o>2!+}FV);3ed_KBuMUTVj3$F#+ecC#wa7#2Q
z6^GNSY7|sqb-0oEZiTE`2!epJY`sNb@X4y+r8;{n8yngbHN<W!1Vfs5KYkjm)OkJ~
zn}R?BZ~XoJrz?z%KA)G!nAh3Ng#Y>TXF7EFzbO$SEJW_Zy|V3aC8)u~9I!BsEGR)^
zM8kX5_k<4*MV)P(ui`u!c1XyA3-XHtqkqX3bh%#Oy6aSH?KP~Rug`RMaCtEti2emV
z0iw4z-pL<ohudv-6o;oKpw+*Gm$iUW@5x@GSA{NNlLeXTf2PDG8`_Sr@>5_tOzv*I
z{ysP^?S9M!F+yVcJ)${|_wVQca+~q_><@-OMY|75jt_6mBX+zmj!02j%?I!4{sSX-
zuk{BjUJaQ*a>K+}7V6$JGER1sr;2^N<nKk*MD<g;Pdn&0P244TU$aAEd6MTE?Wl|>
zb$>G1E~+tAB>Ng5ucQaR=d)$qz<FgfejNe_Oa_)hSoHyIfrmucaH>`eCTG!}biM8a
zW6WX=Mr@F)IbxjlFKQ%%%PZVEL3SQ?TIsQLd=@Q#-z_?)BfCWcQAf6NGYeSwyx#k7
zb~>30&2yXe?({+=_=VrgkS%Dv-tUE37hry_ugUweA0BDg68Uf=2Bd^Ri)%BiRmUhE
z$O@84_EBN8z2gHvj%H^QN;R?;NO|8q(eLoDE#GYIE&6h?n*H#_l71%R!4;`zkl#lv
zsRc1ta&dPki+rrDZ45@f#=5gwuB7wEI^D5O#V^V7hdE25F7fO0CE<8A-Oq1V4A+qk
zu7eVY3N_vH16os*jd-|@xRL`!hjj!lc}oaKgWY*dBYOoB52k|Bc^c{US}D}Dm^b^%
zlzw|e3wG_Z1nz0J(+3|h4_cJ4t;B0br!?||&<G0@UT|JhX7>MhbH_e2)3?kh!s){?
z#_^&1!VInthuodNm)m#O!1q$O5=_3hY1<YEb{VTM_3eLrPd}qPH!CJ>z>pZ90&n?q
zp`SyAU3gX#R{?%E5b+QS@)?del-By=Wd=q|v6b;PFzEk*>+WZHA$sEopL?MJzsW@R
zBEsvb{^~f0-oGr|Gc5g)_{H!={C{{%E$aCuCkz7g9SJ>g1Gq9}6}adt9-c<<TKZm@
z#K}i5ChNGiz540txaWeB0`az{Zk=7%2-lRF1N~`4nUOwzGGZ4NAKb*H`HdDpDuoK(
z*NYX+dU-+zUt01mHv&fz<>)+|wo2H}_HQfdCw%o?ULyQQW!07^QuP-U*g0qWzgTTu
zeQM8RtGOtc-yIa62^meUc0i7;SIaPhD-m5s7s%DNXdfJ^wH;ddJn^n`RMK3@EyNG2
z!YM*>vZi_mwBas|M@6%b*!n)#Z~$!rQIaNSg|~*Rz;4IT@;mAYqqqI3$>A{fJcnk(
z+e{@v|K}@iA`dKQs<iS~AX#<ut~lZ&orNqcZnRIgeBu)qVK96j{V_6p2CWoPKj`k}
z74`n?8r=pc0mb{JBs{ULuEt%i)>sbs>-A=D(`rwgAwebQbmvgzYia{5C+9WbJuj=M
zXtSLerwm*{6|9?Vn$`YSlz>NPudARl_EZ+xhq`{YZk|8JZfXY!Ls1!t@P+p@%khxd
zkH7d`R9k#7X)E+2Z<>6kUAe@J;6@&0{e^135IM)>aT@;5Jd=DnA3L%<Hz()tbi(l(
zE&_h+B{+>BWTBFdCX?B*Mli+J%e_zkuOe&?di*6yws(*w-%yK2ubW*0EP7uxhvNX0
zw+;#ndqX1iiw~bw_7&$0g54&}Kd3zG5H`%8;#Vl+#SV%tSo*4)^jY-dbbLuPa^hml
zwyyl5=?i8U{IRR)gl}h3Qc_Z8EI>mWFK#08>hfv@!Q%cl`udMN<IHsZPR$1}H&GyK
zEMHSIF*_rzwDt}xPL1)Jn1sZV*_5+tfv~{j!gyra-QN@^rTV6z=yKyuB{M6%uS1}b
zUHM1+EZ3hAEi~9!{9B>MtoNPbZIM{J_Fkp25;AyY!i-mkr>4<P4+HX2JPbkk5W)jA
z?rCnW2|N@4<`p}S?E9XXSyd(Nj0)xcj-gl)>1fzUqBz5wFKd}bV+kJlmD6g{2KDcb
zy=Mx&&d8GYta5U5qx}6dl?y1E#B|UQyJ2zN<&QINm)r?fInz`=H46)n9E8DU5wb>7
z7EEq+4Rw{d*+S)+kl*vwfv~}ruC#}?*T0V>$-ObvG0TdyThYo&cBn%ka6<(aj7W^n
zoSa=fU$My*+^xw()z*UI+<h%q+KzjKzY1I3gMhxErEeShsgvvFGUW$$SW2kS7&coa
zXE}p}16q8~5}86p#cg)H10_AV+vt6?wU1y7%pgBo#{97NXznak1VsZu8cbnLNgnyP
z&7mlKfO<^s^R(Ow$QMY#7d1Kbr=BLR@fitm1OI4aj}qQe#jC#;Ce(501QyxvvN51j
zS~frj*=h&wfm{YwT@`BSutht-(F+Lr$oJD0g>JI^I~;@k^9RpY-sfh#I0quG8=zQW
z^svUP>*iS9Q<K0Stu-m5;-#i#Oco`|-5<Oip2^rV(Rrt!gdgRmVH=IVFaN_7230%H
zzLTBTduyMBCE)dDkNCZ;;qZsrc3D<xyh!=7KP>uDYbdPdfiEnI(tUWp#`xPbvVvhT
zfsNIUpA6EORfr&MO;~lkOdM`~ZqZqbN=GZyEnfH|&5?^AowH6py(HedBUoG_|KVnp
ziXSv@Qa6JXkaZWS)(I9pJH3g+I`p*A72LT8+30I8o#?gHfWl?FhU)NsORsbh*s>H{
zn&0*^hy(3uHWEvLNo`sduD6)FC;LYWj-FGfs+63NJ<ZcsEUD#Tmo~Jw+lvhSlrF7z
zX&rEi*Am>e&N5A4qDiPxgTY+1;{3Ky)tuA^?9NmUmdh^9i3W|eOxvmlGxoZg6qS9v
zwK0&FkNnKb-J@+J$5$b?sM$lGM$Uo~Np+j<n5wacfHpjZ=7oL(LTom-(UBFA2x;|t
zDMqT{Q6s1Nsdlmikd<o4LbiVmgLPPJbjWr)Mvyn|soc4|Y$cWio0Vv=#qq*PvtFvi
z&+}?Q*^w|wMCtKL8r@)!w3J~6nT=^W-+xcZeVo82y~#=G7gn&9ayxEtHI12XrPaOG
zP!;aKDl-vo01?C{jmJLjO9>w*gHfB$q|LD(CkIky#LWl9xoA^^<!*zcWiWjO@NBc8
zxw){J1W}p)FC9aX5ppIeUxK;vspj;6?e|pWwyr!fQm6&s3zN*=cL1O^au5MX{4S2x
z=$x$C8&7v3e4zl)DemEC=yhI-gqtuH9IDUcewpzgYe~Fao&S&-bh;xp{wA7yv1=v*
z1@uh+a~=*x3~~gk`KR%dHf4|+qk!%|@Yxq?)4%8h5%EIpVEW@yie!e+GwL)xQmPi%
z`KwHT{OrC$0dGw7JCF&|N0eV10_CWZRkrAcTB1A;xRHAGsix0|d^mezw;D!<{bW1)
zqhNjfAz=?79uf42`ee2L)#Pa~4AJR03At6fjhTk>yu*pLgI_zpWuso^XIY)w7}ald
z`cC8wX~8?7XY~=8i)nVcA9$lkwlI*gZm-|GE;_REWtCP5Cn+|l%4qF^`e4(6HP~(=
zPkoGbjB>5_nABG_weCg?<uU}$PbTtdHk9dx<0}K*VLSEzsB(xyV~#8@J38GwGCLYT
zX*yNbB8Q&$RpwA*{p&aDO(LHY1Lk*ex*XOxfyhR5>pomC2g_A7dKKc%3(pCZvy`P@
zB_NCmWi?R^g|N(622eOY?B@D7nctBE1u*A&5=0t1*8;kSql+$VecNO$x0H!N(>`RP
zNwzmmi&+!&v=|I0CY!HMr>2lwsP`qCLg6aVoFIE|&8V!RVWN`58sXW527NMX??lu%
z8jy(MVpgdF!h|B#2pl}=D%XChN6%4{g`xuWD&8*)<p)|*pB(q8@NqjED+y*&YmLX^
z_JJpcK@X|1k@wYNVx(*ZWAy`)rJbhyM9<DtIxfI+D*g88a;$p+fiCcNp}CSJ&#8Vd
zF@zj-firO7>0ryuG4hufL4Gu`#-dw4C(y5I<~9Wdsu3(OIl<WjNW+=M3eFQSXfYu~
zSxMTgbS8`Uo`JLk5(~&`K+0<v=KnBx2V&*H!KbE={Ou4Tcl6ZU;(~B7@gxAv&=$bw
zEo(XYnP(Pswy||jl}>~ogL@obOW2m4Mg&oRD=}~bc(<USt@o<(WHm38sR1aIElvc^
zSt;-DS#7X=FG#ksSsopZ&L^{VxETp>>DV3x;ri1L4PQ<u^?HKV?D7wlr=|;)M|bUn
z8$y$aXEo>@bFnY>77fcYoHpdY@9FTq74}3YQfhLhTaM9UH>#f0g@@K7_#Y1xqG$(M
zc>Aj~K5F1DT+XmZ=r*A0H5<vx`e*Elqn+?|I_PU!{VAEVRK?@n6HGrt@Sq1uT+f4`
z*rkSNmsq`v>UkL{zqcJq>_%G){?jv}@}aND@o6MxyhM5AeS7M<^_=lNrh}O^8CDNy
zBx#a?4+T&X0-i7C-&u2X$G=r_NMG#JIlD(@^FG+q>>4{EXaRm1N*K%<7wlXDw6vrR
zcex&^=Ts0@2yLduI30JjqCSP7BzZU;jC(1fIKrZn6F+rB1zi7=DpvaJyH%S!PL*O}
zFOn-wP?+>v=GS+jnm5$@UMzD@(hI)puTMhRHeCS$>r63?PQ0#9zlxw;uA+{oM`p0w
zzJ$t296$t`4H_n5DItS$6^4DYhuLZz@$J1`LZ)1O#RHuA-fEHE-|bSE_PZ0**{$R!
zl6~-e+hJ_Iy!o3*^625&V6t;v|Ch{0JA?78=dvM{56!FxC5-fL)hb&`mOe_9k8iWo
zI$S%Mh>4B!Dq@1&DM)Iphtqr2&gNU+-MCY~zxP)8jhTSEJ@dIbNBfmt73qO#Vg+9Y
z3bt9qu$a#>tkT(ncTv5n`-_1B+y{-BOqShxSkaKKIWz{*9H`4GT=o(ihR|+%mW=(`
zk3YLw>I%+w2mU6JU!$cNurG-c)4<$HzuW)osgw1uzrOz^BO$8JuLGx?LsA81j`+h~
z#EZ-QK^}7Qk@EC=>cPI$$k6SozeGAY8<~&9p;En-oU;-N%S~)))EWH>yRs7JiB}&1
z*m}^CPIr3dTmIk@Mu7rN^~W*>H46okiX|!luaeoxx|BN0PfR2hchqrPdfYnKxQ#nM
zI$s;0@6CyU&2&-h-+8ko8cbKlFF=G^COSGgC@APF(<Y}X5Xh%hVYq`>DMBXT_9Kdv
zcd}3kF^NwW6dJ=(%#1h&#%nkKIVUGaHA@rif8-bcYNT>}$$^HMDG~h~c@7kAJ)P#<
z28$!^8#8nQ;inY$F2=BTsYKOZ#Fx@tMg`7qYOoSscsK605X{C}Pn9siKrudwN9}-K
zIchU29Y$YkduvQK!HTu=BB5;>mD_s(5~Zxh5sLAji{@klr{CmaacQisEiHMx?O-aG
zp;h7_&{PIqb0LTKS9IN3X3@dFdA7$A$(xrO={2ifE9lmJTMQr$%7kxAo+qBfh=(<A
z4kh&QY}as6r&TJdO3SC0+1oitMIRCJ;WLeX*NJFw9ghDwI`;T$E+D;;+-g3bx9wx5
zOvXMUp*Sj{SIjZ}h)U$2Z9ICvvl-8|ekXkYxxUULH=&Hi19X1T|D8R(r783$`BuvI
zBk2{>cHwt0mdlckT9Fmb0k`#t(Ny1-pBt}|F#Gx)EA4kdy4gQqL$-81%>t7%z+_u@
zV{j9b#%fqJIDMhT8_!d5)Ka^ZYJTTWN99-0FG^H-wO_wqe*MGnY=w3p2vz+bKWHwy
zz|q0IF1x#~V{2Z6y-O7hZZP+dCLi9+VU-k-?+>EHovzMe6I;V+^L%y0iR1`bk&?V4
z;|Xa=eiWn<hu_|wL9dv~&&{TPI>pp!sWDQG?%J1%JRhEhv$%Uvj&xg=%^*vlfx&#d
z&u8%l*7XRy{_x{A`P*tA+0Iq>Uz_EpeU2KAzHIiv(W&b!80350wiNYo$3`h+nGyC?
z4OPWr5v)gi4S^{2*cXiV^o|tBXGgn+*NXPv1KZw;1y?1YO}kf3nazJvG`ikdc>1zQ
ziHr^t8hPTh)t+d5AHw(|4zd4Q+;_Y{dFkAoj1Si*V^Y@WUlz5ZwjA5_Nfu$F42xe9
z%L_A5>h^T`W+-SQKqB{97uxh0$r75RT0obO1cK|g_;I`2ABAgun|=i8w;W|C7j|9s
zhycVcds!M3t!457Qj_64?xj`oh^&?T=^N<~9wdWwMct~qmOxBL7ytKa5P=|%lb~1w
zTP15SbazKc<RnvnFo1$!(4IcP)wx9?1eT>KfLK7UE7q6z#Yldo+(9DBp_|Y9Lajp}
zXkKkNd1jh~g+&NWt9<Ye#BV$gA*X^$wt72#k3SSt8B&JNGs=z}%YAm+z&%-2(z`jO
zM24>~TeQq#n3^RuO_wSE6a%@MSei;2hPEV>>W4+QHdWgUb99y8o!!TG@Fv_gQ>34z
zj^?P?Td5V|=c6wmq<KaY-2^Nu=~67dmXqn$ugRC7Q`1aOxWfoA`77N2aG~1lgSg;q
zfydq7_$~tsw^mGKWEZLs8-k|m{lQd);YP0+k<n`$hEI<crfkhl->#HH>MCTeR6)o}
z)-tSmq~X6<5afW+{2y2HIYos+`#12%)^VdB7`i?1rp5tl^C-2I-QQ=6om1G#Fn>7N
z3VWPG?L|D3<tu^6l#b#Ehx7&B#FW6)i5gv;a6VmAHpHHC<a4!FU!gZK<YA#}9yz^(
zD#aCdfk792hVvuO=1==`O=yX7Z|5@g;N2c#Mmh4tx}N(Z;iF7^cvYDSxrfSJp)`_A
zGbYz{_SRY|&maEP9awZ-FnJofoE(S;unDi<*7m1I0mp&|lB^#!Y{Gn*j!^DdRE++H
z_O2O^q|E$&ubNfmA!S8(J>2Vdp}V;FJ|+2^X;x_XOv!k$x3t9=F*I|9iO;()uyBG{
z0UvG0eVbKZYOc>v%fCbn?@;whXQMGf+OyYAOzeSzl=+qh64mbaqloiRTQG+rSRt6l
zP%?0tfaH(eDXXE+ZARgD7%IB_)o-+M@FRY7)>T~HOPJp$uSRMFZZ`tgZT$RmQCI`t
zgeTXeHo4t3VtopW1{6W$34Xi88$f%95#%93KyGTQi=Eb4X0}C0xd93|Ri5L9m_7aa
zy-*#z*X*yF>NVll>bnjt>$n@)Q_o!PBbf~9^hpfn@j2z$i~|jf1i+{`C&#&SMjVgl
zH}{90KE0%@r}UIP(AKj>MP;t%&s@?k)NnqCx5h^~1M!+5Y@@QfU$lzDLt?oRO3q$h
zARD{Ns}@4AeoaGd25+G!R-q{k>185io!&1*&S600913D$nP4;mM0+9z$#&lAE5?2>
zlaP@3<9?{AS*DvP#-vrAP=k=&a^Z@e|6=Jv+UX3O?v;rp$s{EqnJiMF)~&O<li{|V
zjcjs1RIM_TVP;{OAf)IR)Jl&q58pvZFU%U6{%=Qvnh9O1`_-Cj`;Er!w&$q<{dqPE
zeIH|phCYFacX^((5>=9!YoeY(te*H{p|xSF9SfSJuLBJ@F|Snrfz;fzT{@ro#EZN7
zz&c6Z-e}KYpBq{-8OJeWdtrGPH=pvu+8%E*IgH#=yxAqvsQMQQ6@X~S$IXNMu)j9P
zBQ`zxAgs8vN64iYyn_3wz-(%Kx@Uk2Wybd<FzTWHVq0AL(wV+8ss3|G_(xrmgCg`(
z0?UwyRcU?qLUk=^HF2bP{b;vLuB3sq2mY2SA@j?is@f=qrQb*oNH>-wfEW>;sJi?r
zxl*K=Y4`nF9#H@JyA9jLpW<o_l;oU@PqV4}Q!jbGVd=?x)}Llox`awgX!2h1;GZ;_
zRA1YjFAr8<z7eEEak=VHm#TNp`G!T!K%QDdRH^Q1()0~k*DGY3MI(3uZ)u9YJ(vsK
z2uej+-7<C3OMBQ(^WUwFzVb9_SI*?!Lwga%MkD;mm#x4IYbgX4{)&&6Nx_#1%#|<N
z6ZBkp8>vp8s4D9ygoO0_LO?ZF6da;(i=LI;3Xnrm69c&~A)PK97yVpPw$i&CG|DG<
z7^6_6{3<Lw^c2sOGO-Y*e=oLF_9yRdPbR(j0fz$NE?urmTuS`U9t%C)55*j1Z_QUO
zvn1rC$)|Bq3`U1NKV3?FNp)@a+wKm|FkmQVsX;mr*e;&_d6nrP<NJ{taoll`rA$$T
z+=E_0M^!U^fZUEm85sr7*}X;BT<@v_maLWII3NLJ#o|d@7;icKs;DnSmG7Y7%;Nki
z$Xm(sdxLai0i2)Fbpq4}C|^_Z5t>c<X`WGh@{P)z^z$EvkB?ZhE^LhUn*KM=q5!_S
z?;DusUy)!OfS2^iKv){c%Z@KGD%h`-eqdud`B=II7{A*Z7JjxhSuQ#ag+$jmW0ANY
zcb4=%S?ipyA=Dj?SMy>a>YsnMRQ@XFRzP{|4K97fP_F}AAJ)i9kv}xdh-(}jpVLfI
zouUQtqW=B?#V2>+!!LNshTI1Kh!>uEzz_%ejs_o3Ey@UwYir>tuq!ymg+A;dM~%8F
zYrxwNmkq+e2`$X*QD>rK4N7JbY3KNrJfcR+tW;Ors8D_uav>K1e29HJ1c>6DhaIsM
z0CF;6aDAB0sd4gqvxusv^y$vIQ_bdJFTOb$@2Rf_#>*)g0)H%cVQxyA##t>4whv2X
zo<Hu2?+If)J$-PpF%?NAsQ*%IBf5g+$6;zBn3^;k94smpzK;F$7lT37`p#A42)#}-
z@vx`eN8J&_#QViy=x0VN3N-=EPwn|_HKT#RW0R~8`-`=~0#3|*ltPPBg&NKy8Z)0g
znMdcZ^nj^3hJNY)JuB5%lr`=cc25O-{?zFwB+#BBgr2c~ug89_dmwY{689qO!)k3~
zZSu`50PO$wbS!O@64iRLWz`W+7;ekJ)P-&GN+sejCf7K3Wx-4hL67<8#z%uoW7gy6
z2*sTd<%cXr!eAzL_wHW^<yBz-%*0!-#N7ys>_U-qV;`ZqeeBoj?o&?Rrq^$-<0iLY
z{lLh0HS3fkz1$o3%VY93rfGbxV#fG$;fW738!|v^s;5cYyx_OqV4#@}TsVP7F}mG-
zovlfuPE;C5aiGgTX*!8f9^|+D0+?EFY!CsT<U}sD7^MEmy1ygwn~UfkZc^dRYIAb5
z(N1#g(Z#;$*%AXWT9_T^k)v?3Y^0P)PV5RTcyc|}ogRZ71Lm%?o61<jB}ACIFJ2TM
zFX79BgADtkS1j=5;bA%12nTcX#JnQ}piPfs6TzrffKjNFrD%|jk09%;Y<gz44g&b^
z(|figJ}|e@@gwFGy^a@a^WBa&4Nr-K|Bt=^AFx&%PY-=oA1RKQm-$@F)_>kjDJa75
z3F{zJf23ztl6`8t7oy5Ji`?Msw2!EY*81PL@H+7X9&U@t>09R+i|y||@n<yz01#h^
zK%o0gNOBtKxA=;;EP^#V6%g`&uDF+Fgsu~8cBj!HCSPj&HM&Wahi1RZqL(Tk{A|`H
zem=UVi|@O#7#hI3v@#?_Vb@45na7za{BmVscjl?2+eqoR7E}H3+~+>Sw|iOcAJ|B1
zvgo09_&1+YTIAuq^^u#wmpx}}L%`)D!+K+?7+%B?58p0#=a;p2p{j~*9w#HyXW;j9
z?feRi^YIF7A0^XOq3I+UC{BC&HuL0Nx!<iLt#p4J-IEldk{j9MF{K~On!@3k@|07F
zZDmZVBf69<m<m-pLm|P@$wN1OdqZ&jSv*9jow+rJ1A<qbJ|4Xh^f)qED32#=y$7s-
zx!KlyJ5vs0`27SguKAV95mH8#O|(p{8=nSu6TIi8g3pd-q`GsAvTaBAR<flK;p-&4
zH?A`ioR!(YnWo29U-B4=yw^@9O>51CJe$?vH+q^%#{DOwJ+#n}I9a7GeQm)!EaZ^{
zTqnEFKr%W9^S_`P1bnlHeUR;9$$0#s-1uQ)?ZHpRe^ev`ZA>+BvUd4IV`7{x;O|K+
z)VBQ4?Cs>{jPEk-WgapMgJ1{q31$6M^-8~6@DJd9tNvW9cC5#k4*E4bOdieWpLAPd
z<PoyT)G42Q;%XQ0B-%^@?%_9NKTpQcD1WgcC0E_Zl+NIRphI7x%3y-0()fOLImFy3
zzMb&*b#&kTY4goSQ=hZ6sQ|G8w85l7_@kOEg2@wcv(zNV8$7g0CHU4;GDG}KvFUiy
z1(xR?nMq9EVd;ePbDnt;i<M@*LJ)Ayy}?l{=Q49SjF(91x*jliaiGjo_>Gu1sN0Xw
z^o3sB0gojifNqAPCR=@m<dR}Mm|-h}c&Y+<lxdgXF|CQ~ObrSkQb<Q}-A>@GP|L50
ziE%TX+b&2LN%>P7bc@09XH4nh+WtLn9j}_SXO3Qc+<aJvlq7)y5@$NeQzzC7Smya=
zh1!qxm{RF974&DEV63<#BwEH}X!^HYyXZ=aKmkg3GjF!$pnmcJeg0f+R9Vpqgcl_S
zbj~qzdIY+)AiSYxyR~B1_``SC_dOudX57<?%|hPILc3l--H9u)PT+G*O^4Vcs}CDM
zYoeF7o*QHrH8D5QTds_{=yo5EDn>3(vYa}bc*H)3qZLDIw(DfGg1%;o5_B)mAGSWY
zKp=0g6>#K565y!_Uq@z~&5lvVR_k-K{1$qUFlzs!Ni3|bl3nwcSi86+0$VmyG!p<Q
zl?y^q`8`5dmH^II?PFm-+%%J<TX!Ev=~Okd<wQOhJfMIX07O^9tjS4Yf^J*$UM;*)
zrhV@=?zGF^T@x~hdUch!aa+elLUgdw54cSi##nj^tR8xp$x#}&>yuYV3#&j^@&Rn-
zpQEW5d433nT5#0(XKd@qp9``ZU%kon8DLKE+G+G+ZG!3yM0xK6P+nu>*OhZiGS>vx
zo%mU87mrCf@*3vHYiy5#9RY9fr9XBdC=-pwTFy>hVXw?>xW4tzC=&AfugBt2!aFNM
zygXP%Qo>+JG?zm0v$W%*B9JEP#f%U@R81wIX&0dc)OBJ_q`A$KYnGm@%po8V1E&&H
zj80|<;zonXzBWMB?`NGmB-E^UG0r*7dSy?9zv_vgqHXL4bIUtw{DowF)rbLokvmiC
zzCet1tJT`f<b}q+h4v;c8R0d1o+2i2X{~2Bl7_~{q7jn-`K*fJ2*%O-)7V#h<J%5@
zB!1BOC&X<3SI>$I?Ej<suRw;b0Kt~jrlq<v$5kPf1mp!3+d2Xn`SsY34S!7eSi;kC
z9KK1C!<_Zocl>YKQK6Kf=jXGAfam87lY)auu(i(ol*bUGq0jpsxi`>WsDuW@-=Nq=
z-k>oZekj}{d4CQ+@I487IDb^3Kh3$`YHpzBMoZ46Igu&N$S8P{-Xz+Vn#QEeTo&qy
zU-AXCY_dL%^-s3tDN_clsZEU+sy{&V(O%yAt@XaS5Eu%rE^St2O=<{G_?NN-bA9J!
z?`*-jQN=&m0RNs-`U~3IX+U6Ip&xkEXuWFr!wq^v{Rkv+PwvMt)IUobzH}g{<R!Fh
zEHz1Q=TPIZQ#=EMC>v7<gqY%_mp!#4{dF?qFw)sG@CvUl_O3r>uAb4|4^fEKVeQ16
z^G^`ne3QEj{%17opJ8)OUoHT4gipt6*|618Hb<lVF~f?NKzZj)W5QALurVx|w@!q6
zIEmKiSq$I9=4-P`8o$$yWa@dFbXFh?RrYJ(9S`jf%lg)^rkb?jPEz<PSIA&1sY-p2
zdso{w<^33A*M&~8zhvg5{PICu0XSg@cQO4|T2z&B=<*GTWbfM5Zu)~+2p5wS7I>qv
z!bYt1*_1Dnxz>G12+Ccw><S>NDB%4-HnhcA`d))cZ?g@ydpZ9{aFm}$2<sDv6&i~@
z?gprMk$L4fRT!X^ia53Fi51=<?9M-k@9B&qelTyE^GJzyLG@T`!he$!5Og>K0J7GF
zH4e|14f;YcTIb?j54E?MeNN@4gYUTt1_z4MBffsWRf=KxW>!s=yiXqlRSsRFW7(QL
zzSPP`G*_XS)Wt?0jB6_~pd$GQnmBDfH$B}5551GKxa3f+7sRaPSn&K5CNT7b7x7+)
ziB8tt9!=Ah83;8<Up>3%xVRly0m}cTU5N;9YB&X<d%QVOfG;2}wVs^QYGRj48@npt
zm&lHwCs^LL@TUvHI=l6r0bv3?TY4ysuD<9eYN_j=fX4YHBu$#g`y#HaywoCg?oRSU
zIZhy`6A6q{OkBg~gub$PA`JY>VVU6Ze5*MW8T+XJDPrl&Xf+JYV)MX}+dA!sh_up2
zX0eufWfP?evlB{Wb{wDl@YFY&!RhaXEeS25Cv>`2!&$3Wbk_xRbJ5IZ9x)|+skZ38
zDg@-{g2n0RTG(_CWx-BfGU&29U$rrdKL3G?4xFX)HS$7!(?fofX6m1%jE%p+djH8G
z_zXeD!y7iW^Huu;Qjaqhj+-+Cd3yxjJ^Z!0EYu!b3m&GsGqzvi7@2Q~PBtrru8GXY
zz^0|Pd2t`;x@v88$IUL~#|+_Lf1`+)bltd&xuSI+Zc7|?1Fv2XGe6S1Juv|=B32{w
z<D=MVR<)lky(Lr5ail1$E%IJZ=f{P&UJdLu-lXZWg#DFY7>1r^Gh%JUP@A4PR%D{q
zax45{aXoFG`fnY3?7va9Ho8tkMTpui)O)=)ZJNu~g^+c*>WvKDO!zTy)eNZoCLF##
zmgnxIOYk(&Vb6IHNd4%fIB(%VghJ?%@67IMz2?5<v-7^*#UKQ(Kbpg=R`2kMr!~yG
z>*A%!R$5l?;A`ppC{tY@-S(Fz`{Lw`?eQX)E>{+u%=!ZwAFTaOR}BmozDf5@`SO)}
z3B4=6A8K+-D&2~3<r1+aoofEH))inXp9~A4KK{j!uNSp#@g{!l2Y(ND#o1+vF`a(1
za+ajcpYa)ubFb4}Fkf3Er9!x_EL1at3UlG0HSKoV{L|C}%7asuKBYJLMAiWOu^s;(
zcJ=0|907{sekBlftu*OXrMw<|x6xQz>rO)dz`wA#=t}@dQuXqM^bq_rB{E&C7K)h8
zcRF6=-rU*}K^+y5umKw8eT|h5g#Dvk-$4|2{|xd|U;MKZLE^~<4iHw{`%9sO9@D3k
z(T!oQg}2|Kkm5J$&RyBcQR-wQRiCW<IlkqzmzLr3#l0xJh4oNq1$0L*vG+4PWAgHo
z+aD^AKkn*a>(kH9lKn5!Zht&&`l2~Q<AxM5q1;!llQ!epW3+nabOF0TIzycj!OUiE
z)neKQKOQWJ)%<QTSoP7j4Gz5H1XiWPE-9t)1nn8j%SsGC7M!dkn#`;;hd%3T&yg2m
z!&{U!X36Eae>~uIy8eGuy=73F;nptPmI9?%@!|yv6n78M7WYDME$;4KibHX?P`tQH
zaCZpqZo%F4d-nT&bI#fSn9O7{3D3RmwXSsux(-Lt^LUzwDJJc&C!^Urp<aNM*f&=B
zJEBIdEZ>K$@lV>oRj&7jKg#M%X0O<A?n!cFp5QX=$kw1U+qCsyqbGr9GV8401X;^|
zD94jAAWr*VVThy~8NPdz^$?9>sTp%kJY~grccV5Y{_V<^l|k6}kg4~cY7d$BNPsox
zXGscqFD0{|sx}`NJK1ejrjj}?;$s&m&gQ?Mcam*8JAGn<&s6D`ylWP1h@T5q1smvQ
zBL>?TJ(l2pyHAsN-L1XYWgq2kl`i~?ZB))&x0cntnm9WrOL9(Hgz<#qR9h~q$F|GV
z@k!icHuD|K()SmfkMM8@GHTx!yXJnNof!--`Yy2i?}k-g?@R%C&UdPsSSw{bpLM=R
z`82i8DMK(V&Giij9wdA<>QTkVuq*452J^FS-`y4C5g5;N@~zv7TQ}|~P3MIGa=}<m
zW5$>es*n^DGQzCQj(!kBCidn1lq`Qz{dXMzSyn^>ibTlGciPE*>2#9pAoIO^w+!Cs
zUV(7`19<&az5|9J=T+62Ry|gF)Ak57Ll_g}>u5{v6HcVhGSjkVf06hS;p}76?3Et<
z=JqiX>rs*Wb@#_Dx*<K8q>EFZedQ(;Sdwey^R0ZLLX4FG&1dRJ=a+WDcK@W%dD0EU
z%(g67ls{b9kAL;|T+;u%liWnin@)7Sc62jwt_sD$t+}LAE@$#Y5Dd6}c$Ia~^rJ&^
zxVNyK(v~i0M60`WQ39M8_pV%5Pp5B5e!HJej(Pl(>wII$T)lq-=Gg5szqoRB$5*<?
z-h|#M7qWqr;$Zi*_cWnxdwsN~6SWN*o%q<R=&&BNTuof_>ENfnr%8xH!?USA>YkcL
z1NRwW&al)&VReJO0PC42{$S3J^{cS_f1$>O7K%QnUXY%k&w{~1x}F~tJ1hMek|q1X
zR`Gz{RSaRw9pFp@XGu4iiJqAwvY<J|1S9YBvh*Ce$-cpj@)+?eb^NENw962t#r64~
z=}aA6$8sNSzSmC%){vfmXgjOcb)hVMt{3_c*XH9Eve*%>0jl5*9InNlbPI>QrG^q;
zZ5mXCp3}wOYKQxNx-^ux?)4lp!k6C_Uv-%-R2>eox<^?Q{%p0K|2yU_Y}Nz~b}@A;
z>}mR1MP;Vv>^0dk-OrzX1_Umyk;{CBu6=XM22snUKMj=LU>msBQ-1t4clU4%4UjD4
z;3eN!wtSj(81Uv9^*%}W9z8j1(WvpX)c)F@G|N92VeR{a5(#2jc8x4V3&JT^6BX-n
zT#Z?M1LLYpydS{|Pda546W;!UsqHzL8=cZTPb(8j^mx=5aheRv#RsV+^=`8-7vQ8!
z?Yz#i)3a$%_-lGa!VcnL`jK!~d8*wwx{i2Mxcf6q+9Feyi{Jjs?vL!sGgL7TKrJOG
zuc~=2ptN>ZZfH&fkq{T3DA#La`B@Ya>2tdFty3hf_Sdgh3pM5<SNqd(Dhc!|{c*HW
z>HLD%{HqACo=RqBW;b_tY6e?dTOb^U*Kr38umrHLc+~pk?uApKBRbKiE8zS5c(_;}
z1sH|Xf-ckK+8yn66`KUFn<=w(mM(nt--Fa-*?N5Nz-v&-tV~P@^2K`hJLx^t=)Zo}
zS<;LGyU*KPln8DP4k%zvc$er<h?k016+9l<w$ld<G+R9^8<;w6KD*<}U-P8oTT?2L
z)|>E8m!2SHdw0j|v?#w!4C%oDO{4KVyeB{4bcxf{UYsS4rbudOv!G9xL~qu=@s4r(
zQZHXV!cMR`jb}h^;d4t{TX4ivI%^F0NII^)b+kEtvbR_J#q>9PpMJO+&tSJR4<vV<
z;_r^z91sdHZwd<{^C3(lNRiuCvK|Wx`T}$8%^2<@&Og9=ihoTkUC8WZJSJGk+cFYb
z2IJ;`fPHv?@BBHp{o>LbPyz)vw=Y`b99iOr1}Q5E7n`QW{GPsNhi!5fhzQwjk239C
z{|im<!yhN)u3=-v+H-RrkM8?`ewbF?1DD5!zaUG$hX|vhuRTq^(ha^lV;|N-@}gtj
z=#jkKR!o{<ZE=2G;*<@Rve?%ecNvdl5oS^95a#Wtj+*DaDU#CYLrdQE(rt)L{K&vH
zHZ%TBK>{@)g!zdcG@CQN8@Lp!Z`b)Cg9bxBkw$d0fn@CX_u6d-DTG;Ho{wVeIDe6)
zLD-w;WFNQLm$g|Uh^Z+=g<Yr?!Sbn|L(9mEw*VHR%`vG=utN%4JXi{D)Sbu#@=m=a
zIlFqEcyq5jNMGQrvgR%=O$KR$*7`%`j<(R>@zX#*Hkxykw@NCK4Hu`CHJ}y#Dc$l<
zHeqOAGfs1R`fS~CfvNv+rn3;R<gj?4uh+~yB<RxbGkx&TWS24({X2i+MsG2U{>XFP
zv6rf+?hh|VxGr0}8b=%sc(!a~kLvXz^~>>=Ha{NQHyKgr!Q8m%NIvgcj3n%ho0|m%
zg5_4Wa^QO>Qg*b=IOM!m3#Q^my!fFn=0v7{9Tv&lNE{W`A(7a1zVDbaN^({ctZh7G
zGnlS;vdfyL+79<+Qy9hBN!Ulgkh?OVfh&VlYzd^N>JX#GIPl=DL4(A6kXSTj)qhW2
zS9%b5gd}8y#}51$_8TtbF?y3^+hc_vak{<LD@<p>xbkGX%Qv;%z6~Sx#M#%GqcA5M
zOEjR#j#68L8Wb89qQh8L8~b_@spt}xwXc~tYcBIztKXs{Gn)3D(Q0FO!=Q$qyNdN@
zm(A*O2uwO6e`ICHCh;9zoY6S&3l=*+{kCb5s(p7^-f^+}<>HlY;GOhy(pI=PQ?<?^
z{PPQg(mp}(bZwtDtw&c@s*f(siR*)dqkDib)@+@ln~HDai*7PWqKA?&(dvy-+$_(O
zO6u<ZUUo4l>HH&?TbV=2$Y4uZv)snYf6ge4A%tBvzBjOMK+LmmcVNY@#vyEl(N-(>
zy<?y)PU7I{Qh!iY3;dLlKIM!D(e3%Hl{na>?yoYpBBl=M!>Z>7)3SuL5H-w;x3!L8
zn>~!3_&w+)fl;o@@pZCVi8=+slzOs-mDQiLG_6jNmxNHFP0I6yl@+1m|I{e4__|jc
zFM&*2b+WDXbC#&PEc>}H#BOAGcs-qgsBD~^e+0@yP6;Yr+E@`G4Ef0hZDDk$+A(9W
zcd*d8k<Oyt^DX(lK?sE7Wk;%6YBHEsNPCVe7XL0{j0^U?%MYi)y)V;M_$`F?njjWz
zwe`2o4+TSPh}~_*%4QW$(KHkGL=94-ay(0AT&U(5;P!I0WfACmlBdu*d#>qU{7bcX
zU9vraLcp9UE8bx_$63jJO<5${NIU6};ZDZVc?uLAi_`@p`=a61rkl_6LgRmp@GhF-
zJ7<0b=G!0<U6Bq9EN*CaH1j?1;AjzaDJcXdW>KRfE37T4RK7|*1y#P^SXdCYA2j$R
zp+XOQujn_h$%3aZZa#ba=!x?CVlgEq|E8QPhQa>w;JWG?CtiXrqO=n}A2USfFcS%_
zyvW9UitFtK4!e7YUd)3?unQ{mWt@$nH@ZauY|O^P1`=*pSv9uO1I3%?G;M-B>HA=w
z-P7-$8zaxR=CtpXYre_6vSSi-sL$*UPi_k*f+(tSS6dt4n3u4HkxBG))=A?CB2cl<
zE&R+}BrAv&E1a#s5NxW;wT^gW#D>My2<-icqwb>Cp&Hz&=p;Sc!1JoLXlDZs`D1XA
zX@bu`n%q-L{=xmZeC@8a@=;MY{tMPAh**TjYDY@DE;0A&xD(`|+D~b_0sh}YbJ2~H
z2}K_$q<t0jI<HZll2fQ5@)Ev2&WBbMgCoME<B((-a6ng>G5Hbj$*7C!3Mbz9fC`hD
z(icMmMKxCZ<|7UNNpTmHnmBJZ;rNP7ml)@v@XTrF^o=-|Q@5s(<=CL;A{__RS;0u{
z{YH=$&!Fah|2VACeSgE{@M~C`@ax=_0MgJTYq}6*pHVbMV$uk+L_W;_^xc}-R;nnY
zI8}c0)?u-VGWVtX8sPeepTAi=q=hPkU*`<PPRfb`ytWE?0gUu>`PaM1*!Er^XC~#s
zSFk*Hr7R-G`R&+4lH)Ez78eXA1sAZKIkUm{h-X9S$2jx7oT=bLGF2il)TN9DQ9y1>
z(d_)>*|0&Fr^RHVrKWJn1-OzJxfq?-?}#JG&I}|E29pnpf9z?*mRk_?mZEpwSjc{M
zmwdZua+&RBA}A__{DkISIOFry&~!9UqS(TSdphpk5d5AiwLO1R0r*71-Bo%qH!`1O
zfp0^AK;j*cu-bEHYdWfXDQ^Nv3&{1^Y=wPZz~%e~w&GQuEVzz$wvWCC)}yZ8rfm6Q
zSngDbXmiuk<5Ls8{ZoI2HQ3`=e8~n?7)6F=<Ot_-u$(ixZ_m+BK?<a*M~g8|MQ4CF
zBIyvT{*^RY-aD8-%JO{Fj@Ynb(tWY4{Iq(5wdKA9<VD8qSg05=uS%lp!pgaE9q-Zo
ziAqZ9h`hOx!`KSX?YUSZH3;4*x^G8JoYo-r1B+D1<8t>Ta!!80hsLedcnIHNdl1jn
zIwsZ!&_X$sUiw-9ZkmQOB^tZCyWJV}qM_LTF?L+f67I%zD@!&Ad!o;8cNF_BObv?S
zAIvbG?*F6|V4n7))mzw{k_gq!-`&xc#nY6td;ACSfp%VUgAHlSgeY7B7~T@_#l^+d
zlL={~Q4)9ZjrxCv>dXuSlDJ>{&X(gR<$eu^%aY032bV*Rz9_Ki0i8UyG%s%)Qd-Ex
z9XbL24Wo=a)?HS9sF<qfU_8sWk)k}MA1KlU!@omKoZdFu)Gdex`sf+~JOU`-6%>iL
zU%6i4ihYE$EY31onz-<fB;^n1_*8B7x6JkQ25OqMjsSPLd^L1WwA$%$9@w|?`S6CP
zPuqcQYCcqjX|vb~jj3;7cmqmn?)No-E7Phyh&N>2cZ#w)lty!g`p$5M!mHf3ti_#c
z3x&Ag^0Tct4j&MdkbjQ0<Q59#I@oU?BdDTV|EjEek50-_gmJOuM9;WG69o6<<!nJT
zuHGLql-YTMm$F$ETCn>1ldzzZv2mu-IqzwjH1gsCg8LT{a`Qj<;Q<#5N~%O~Q4d8X
zK`I9V2DxD7qZCf_cg2Yc#wW+d>HMu}eH724y7Pnk6kG$Ad30SDnor`6j7%Ml{(q*9
zghDpelyui38|%^)+u*%QTIkL=5=c)izoMh3O5LAN*4$Y!TMDE%4di8=b8^4}OzK@-
zWAUpG#eWBC><54C^B_VBN^sZQl|R)l_f0TH30dr?s^gcyp50>F$U8y2&@yBdQrR)?
zQPEOeaKpo;+k!tF^LkAvhbCovwdHl>HgUz-DKnq-gW(GwS~*kp0rjf<Y)A?8{70d|
zz~{#)Sdn7oN5n(faU7xIMl6;4$cQpFGOYgjwu89kFO5O2`Kda5?re9Gd!Mg{lNcVv
z#~2IBoNTPwx0wLrItKT2*{y3h%)Q#vP31gI0!A&(bu`?uiR}L5By733-6Q_XCxKAq
z`QxX%G#|R*!bkvI=6|NoPkVo=oiU7;S~*~-$Np@`30mc;V&@yq<BnUXN}Y<*4FS9~
zj}HxezydXhpOiSV_Wo>(_Poyi{P{{sL7vgr!V%eN8aN8-`|3rV7Z2+sb~@slO4qyQ
zX8Kw+h*aF#Yg7KPKJ8ZA{!`V23T$G1C&n*Jc5jCSZ5@w01V%H?bG4>Hv2A&Q&RO}g
zOZNU8H%bNC@?ocs<IGF>JY55t<j&4ahhhJ-$pR_Z;K*ZpI9j7#EN+P_;AIeY7OrOR
z^4(YGh(h!t9D}pf4+>?Te!WK+VpRU8mh{@+lht+9jN3NZKdH~7OxFRvokImWP3ahG
zoS*yxQqwoqi_bzOIQv8s1~NyqH+Pn>fa6;dFYqe=gYA1Sy5mpw<pHe<-Q}y+@RwW*
z8^=57$WUGHh^=0j5H;4Z8;g|`1z66#RMrpP7MTYKQ;wJT1``+vkijbSczE>6pBNb#
z*Rx*cfXd>t)sGd1$AIr@U1`^BF-?C*_#7H4_l|;s0*wr$UdD#)xdObiz=F8I=)Y$r
z9Ec2#pJlaqtVUpJ5KW!Dv--(#ujd(`xdXnB4bx<riHP28@^|NjDxT9{B<AOaYf#R+
z0gZScL-7jhWhWP_WGn@a`AU15CT@XhU-;^6WBGb#igy65;wqae%DQ_i5tBWNbfb&q
z*0%GomEIplB!lk+q|;?t6VZ>8wn=`@)Y)V{NbLZUp(f=!Nu`$%WQ8t?f&I>{HHi9b
z-Tg$}%_lxBo6O^mao4g)-z*_Ye@ON8Q%|b-#Le+A=K_9Z!sH?$(32>}13gLc(+9Wb
zQ#_v)&t0Vg-kk+aqcZ-Go@3XBFB0hz<c@deY~pq0ei8bYx3SQPFWRG^O$W5k!Y!`v
zF?!kZXoy(aH+`^Y@8qe2;K96Ytpw=rHTyTqA+>@!y$bL_xi(uem~c=-RkkZ#iKw)(
z9BCB~sa$vU=EN;ldrpocp{g*CIK4UA7#odVt*RA&O+@g`qg$q#-|ZI#Sh?{x*!#Kg
z2!s8dsY9MH!}<vfkQz8ea&s;7P|$_dhD266>alM;%ZLUo_e=!V%IL^bPQ4N17Fh#0
z)Me^+-zJJx0NMs~O=Ut>|ATrQ+slWNPc}`L1=8}BrzPzd@d?-<;ogHG%j6k$%%F)I
zkv>j=mYJil=N2iSqi|v^4dGmVKDnC8ewA3o#cQ#LeRDKOTT5*QsecA5HX*H(>=*3<
z^oQTqGHu~MkKN_-ToD-x6|hdk(4En*M1{=5CZ=*^lVZ|a4yhuVUXx@frJ!YBH*7Ho
za1(d;91QrL#46_!z+EnL5^L+4J7_H{>4)c=DF)c3^yojVnqSe`6w^sK<Co1w>cnC`
z?vHbu%(_PN^!?jYSFE3vWM0NICdBp;Qk^(CTCv%g<&527e<6dImM;(`bp^*Z$kzx-
zIzB#86-RR*LDV9UVR}n;`r0ZNyOJtbf1Gq$BMIol9HejX?R~gV8*w{Cb^PFAd69WE
zpf-nt*UU1sN*&`!a;1Ob9~{Zb)K+>0c1XW@s*U|~l6T)sk`MCYB;6j&LS-?q$dahE
z_(58gY>{QE7U_c;<#2wTCOUgZD~$z_c~TlHI-VM|4wIH6jT^q(g@d9FZesNWB>(Zu
za&xpfGlFLGC;q9NCttBG1y5>ug82+D^Qi>GNoq1!BPLBTKU{5@WncKd7w#-Yz}Zt7
zSGA#<T%snVk{-w-bSsODDMcU^my20(RkEaJ3*+s6MscPy$)mWl?2X5M)*RE-?YT`e
ze+|Jo?jcP2R%3@Pv|(#zQry34FewULxy4bKE>+v*(nb>z^2O!t7kYgYAW&3D$Y0yl
z)^}#iKZ_*W%&o0Q0E6SZ({+)~u9ui6+0)14<tB%SYhajJJ32gMte+HS8xI2fq;mo8
zp5Chi@d%<k%?F>6|87DUKrguKBMUPwW`&^xdN%hg+MS!U8!t}{J3_ImM>VV!RXOux
zXWET;g6ofpryzf@^$hvKP?~LtRAMZ4=fxwJ)`kaXVb9P{O6F1%&9rPId_`spkGbsu
znQ5Z!+ZOpiTh$!=Ww*QCi{G0Hh_KqLe!W^OX1@WZ<a{((`4Q2#CU(N{IGW}l)jPsg
zFKSFOYEWO&y`2xzQMj@48Z?`i?iA#`5akDFITfmj;ZC?PEMd=4M>gd~77j(&bQpAr
zDy=Ds#T2myhQc%lgc~foO-G~qytV20$`9j({99%Gkr}RW4Wq8~Y@nO9y)(W)C7H+^
zuN_tHx5{S%oFBA9yy9`=<^P&~1EE7?+6L<!m~<1$_?&4<5_lTC<L^%`1%f9_DkL)t
zgM50I9{F4ymncmr#mLs{R%L@Y`-AiHUkR8@?Fz)M)x3rIg7v|<@2k0OW%0>SR=a)W
z!O}+K5;`8`P>ULqf+*th&Ym-KL`b+Jw8~!H`rLR-L_{uP*jTIjWbWGv&4rJU&`RGZ
zTWvqx{uhSRM+Rv^h_8o32*M;$%&aJ>vo*qbJ(-AE!0j;!#pkh<Z_cEw6KwfEkA%-c
zN1CJa*PxdVjTMPdIrbdvHcu)Bde>c%Q+F1=rcTnEfy*xp+*^-9kuijkf#E-@O$^#N
z-BpaEFT8A)`8$J8scsei{mMgwarG}6yi2mpeWehqluKY*f0GxK@C)8JVcSf9QD-BI
zr7Fr0O~r8lW{=C?qCEg_-MAd$pMtCyI1UyJv#7l`(H>V!Ig?KE-oo<u=KQ@G@0Q<Q
zDFgU>QEkt3pWrx`0Z`Nk+ETFaA~x6D>+ufUW0c;uI@!idG(9(Iu?_#HDWKN?ngYxE
zd0x+t@_dYAtaPF|fF(y1fwK?S=k(HxAVpA9Xu5tMyDJk?DH_e`byKq8$~t!r>Gg#A
zKXdS(GL9Brdk)>izrI<x>rhT%bOBIcE0-gnFBB1(4cKU_*DvnF$cE4$Ernh(MmGt?
znd$NJTQ@bztKQq%CkWqA9DYJBnC+FnRiY<lPq2x+>4DYG;Osw9DZEj=$&PH%b*lJ!
z9Q#MNjvl?kv2w*oYJNxO^qsuP#YXi{T|M>w29rCsq(=s(YQ~z6yr~>Xn0=+Lc_?no
zE%gr)CLAS-LM2zzij!4YSMhw>O$70m0!a%Odjn!<#VLs1Do!5)-@trHWiC#&Ma54R
zYQstR9J*htFflO|sg;jz4<+5*o*8yVdDR1_U3<!p;IDvByc^(<OC5YYBW!_cFQmBG
z{3GkTJshVN_5j$RosN;4{C97F50QxrLOn>;FE0&}UW{fZec5<)_Fa*QBgx!TshFAQ
zovB0v&y-P6n!Ntf(s5y`#<THgigNh2d!{0PUC)rueLMq>>Fs`o=PlGLY~!cf`pohc
zc5+BAQXuW(um$zYLwJI-tRHv9udX*4;+QFo5y=7YNm$JPzzZMUo=M6P4$M?2$i<7$
z;*T0%&Bm=~u0t<x1Q`mH*vf0uh1BGR{Emss9Qk#Ne!PasXmz(=>~GFHvxFXa6~z9A
zD`E<srcM7jcNzbnA~Ks^B_~j|ImQhEMfYl&H$Qy2TFgF)obKz-abQ|HWzbURP~UgG
z5|zS2m#tPa+Gex8yE#9r#7xo-nyB~{3aTSEa>%{-POu_r=-G+*U6J_dF5>7gec`vm
zd;rU*_DB>J4-DE<56$233H5wakr8GDK8F>CQH7YyZ#CglGz$JSll2xZvYgY3geF<r
zW0mPmJ2(jXlNcZZn76Z*FcE%b;;|UI&Lra_pF0_k*!|vH81<_i(x}i!#R>XGL141P
z1CCtJ#$AhdmwB?@y>*BZh_9&fPU-KZ&c)W;g6@<P>(^O!;*q{#xY*&<BsM7O5*`UN
zTHp;SL5z(uit~5L$+we3dg=&pQz-DIw&cuhOA){|>`zBrYWCrc@lE}4=Dnb%@Wy!V
zoR0Dr4o8t8m8s+pTGJ<?^rqM<VVc(J6EgC3<78pmOr$fm&b08R;2*-(ky8Y_(Rn|`
z@=N1(&<3n<Lnk@(F#eQ&(`R5yV$BwflRp%8`86BmTKO-9iqJ`H)tdPVStM^&McRDP
z-`(4n$FYbwS9<HN4Jg^R)}~6<#UI^lzAZwF-JUtm_%=RYjjWrhvNwqcp~cr6h2_QO
z0S>qx;po*!;LmA<MELSGAL}y>DaeIio_5?#u5G2bade>FqNCE@$-bvZrkmUxtv%NF
zrfw_NiAkKkk1T7@En2~)$b)1L+^Uc=<5Fu2nFx&K`J>v50?fb{=S$R8hM5<Sm+q)O
zf?2jU?{AFGoVh+C`)bmh@Kbl&yXF%S%nDlrE~}ooe-qR)^D`vS{fi#{uQdUy*k5<g
z#AI#t-VFg}9aehjSmCOYo8}8Z<1Pg=OOYW`*kRgw7W6G774;M)r}gTur?4SOosX^3
zK+mgF)=w)3&QS>s=jFxS#9L6(^YifzH+Mvl!up?}*ws?`AOm!DChk%pl(1R(@so#T
ze*`yPp8Q|X+epy|JpjgZW*q5q)K|z9%F}6b0ZgEVzN(03rlqD%RGTUQCb}IDHzzng
zTWNBy;DBZS!1&^u<N{|mW~;Hk-#!u(_vz?OeI=+}Uu|{=N<g`$vNA4UJAb#~E=qdU
z6HWlETY^)7(HtyWsn-LPT*+P2K)AvA>FyTjdAK0FF({F<<6n3&(6H&McWo7!nC%gP
zYjm}i-U#{6ULwMJ3}%^CZ^~tD91}>Ml&Us={?0>jP{J99VWX}*H@_F?Jm?!o4bjtn
zN%Dhth$0Oe**$>({r_J>E0Hud4yYFgU_|&6(r}gIB@ZT~q2q$#q5Pja{_Jc{`oSWQ
zb(}Lxa*@!A|DG2Eq6c-1>)C9Ko?ZCTi0@V>tnPJ)MX<4UuN4XXLme!+SeB*GVG@3N
zPhq|&81f!<Yq@rMcuzYu-DF|nDFlsn!Dv`7^>rMr{hTLGlETTxbzsX<(^hZBg#gsW
z3zgPI?x&qUDA_X18Qb|%mSe(h%Zk#lmna75vh@ZRAn}T5>E!Zo=lp0HCE;(4D!B1>
zzmoi;-~(!M3~8dB-Q>?9<+@1D$;o2QP+*KF`cZfB!;8iDxOnmnh@kaXorVk14Plt+
z8Z+6-W&HhX7BZdHp&pSqLS@=|wCO38#w|v*sO={0kUu)V<Yi8^C;9}4)t6d8^Rjsd
zh2}qFTHg7a!genAT0pG_a#P+cWO}ZfOC5V?B`KsLmE$6Q@YTQN?T&jVwq@l;-wi9F
z;^;a!TF>gc(zg-TCFF|!BuEQ$I}EUNZ<|bgiB#a<;m~r?HR{|?U)wad6vwB>mtUqe
zGWqc@5n1!Evxvj(hpB<&U?3aR{^B}DG|gm#fynJ)=y^YlRw?uI-<Vr1(Z5^8b)U-%
z>p&8$O!L@nlaNp$ay?rS410r%cRRyGU1d7O4fZ1$mXNqTrS2csuB8sRF@Dc2<?$zX
zmvafmIx;ajdS4x6id+x-VlK#<BQCewU(r?($s85fd_4=w;PdJb*fW#VkZ||0rt?0x
zERY_#@CBeFX~!s)43hCUONb>{e~bhYL_Hnct1UqJEBe<RT6qFW#OnWn6AoPGLB4OP
z9W}GrM-`s*7f)Nro3PFVO>^BXPiTzu`2KQcPSs~y^#xi9<CA4n>3BUq<0M`d%F`Ii
zT~;R)ylfbzH<Ah;JqXXvu0cVnBxzl@_<>vK--(nm3(Jf{M9!rDr1KF9XUb^{R)-68
zzBD!j3&36Mw&%njxzQ56ic3CPiqCS));s)#H|GWP{qZHw^uTJUViJq!am$a)QepOB
zR38L>pja5~3}WQz`MN$t(q{-UN&`^&U<-Job4~@m<OTU$X9Lq*Ku90k=66j%Jn<6y
zNZ&+>N7&{@p~gZM{S+V4L>7>~INZwTtJL&sF1jePE)>010JHt2=7HeJLDLTo66mab
zGThT0d5vmLqB=X4^>qZ$7F8x{sbOIGz|#7gjzPR_q)}~);EvH(OzXY_&C)<+i+uuA
zdZL-+Ah&2>3o^vYh5uJeLu0&LPZ-L4Ka|9>z1cebmecp?o(pj9HyKJ~nkv&FMnLfA
zHA_oehZYwzxSwyuEPkqE;&(axQlRJiaBbb$6~}e<xIrl9eQ{gS=yi9l-C#$tzApTq
zX7B$2Ls>vc$4}Sts!mM5VuB=>A>lqUz*fptk3QMb;AcugqJN+Lo-XK1+UVNd!v`QC
zliIkNaG<t-IDE!%+3%=1da|8HNOyM<OkM_%h=Zs%=No-!kOk{6C|0~*_)oR(TXpq@
z0Cou=%Ka|V7s6iZx#``R;X2?&E+ll-?kSBxQtGs=v+{ozut<<LivHC&pAm+iOkdTZ
zWWy`o3Dq~NQof$BJ;PQsb8skH_6jtWdtS4=XLCZP4CF-{Va&qoehuPiRPOmIqqAQ<
zTzH>ETd<j(`wWfshrd}_x=HIv=FaOkv<!eGh8SUAc;n^Qx$q{?iTMXjn@`v9%ULF6
zTRjgaTNDp%W(VbS=X1ME-5S2~BWMwRcs;?Fskhp_K*7~-SQsv?gKmw$5vE+&w=3ma
z>2mkk+>2-+UD4Vc%tSuVh|XGF)6HCsXM#l8DIWfN<iT!j3*LJ3f(cXE-8(R}C<%vT
z5#C9w{PlccmL;6^Z)=>%|1PA3mRAQhKZvEXwGZNjZTBACUTsbSEZNOVs!XZNqP>vX
zOP#47lV4XsINJx)rnmjA!;q!4HvZYae_H4o7w*-yQVjml&h)$m!8(khwt9^K=o1Z=
zcXE#7x<otO)u9YNw@3T3^pD&}_u`{255s+I+xAqhz&ABaU!+m<w-8^ijUnsu!b>`9
zx`#u}ApCginV6?<$eRoMJ+<hJM{2JHNDHIJYIDCIlr@kGd_bm)ok)A|L~+U(O-zWh
zUj`llIL0~s<G-b-B>_<SYBk{?aRg^cMlyUS74$DL($~v^u8Tf(NbxE0x+m8~b0Fex
z-mpa?sWsPLlVwbxcuO$0(+aKBUmQ<J{~Fz8S-MWyL76cm<C==r;V$TsaL?7zRn9TY
z6x&V`AuW4aqskPSCHD0oCF#pDg7+8W-1|1bpCC%`EJY=$gssi+Kstku?ulugPbl+%
zwLm9mY)to3>OadAXGX5|yXhwV!xh#v&A{sH(gZ*3()_CDOGo$WjRa)H!&TPIduoTj
zIk7$uiHK$bN3T|9R~)FfnBcZzcHNd7rPAB&U%`RS>ol@XEgdOt8o!<+S}|Zz148`~
zA~=K-4Xk{nXk&O^wQu$4NlOl^z(wB)iBMjOrMQS@zR06U5dU$?w$v-;bgmq>QkZ;A
z#YaUsWH?Ia75eZzdRa`fvqr@Jlc%Pxz&>e|QJohuQcP3jvGP^iwOnNTk&tbir=32B
z$t8s`*CqO1V6pi!nLSM+i|ycz`74N}nT3IwQAo^|e~R(2_%uxfAzLF4So~RPHi)`E
zZTy{e!h2E?$8-xW!x3Eq%8fPGnh7*e(j}V_&#|Mx4-Vg&)h}M=i`t0h&k|ZRkq3P>
zSfsnk<)2)7`9Bg7$8}6dlC@>8-|cqK{sDFh9yOV7AgDNhU00gjjRxcQP|d99<PI0=
zZKJ}&!_yl<?CeUB?eg@2&|Bd%9!2uUg<8wQm6o*Ur-#km-7f{dqcE*d@frII!3Efm
z?{zOcAcFQbz?^eeCPU>=5Ln#&C&1_T@89n*F_S1fl+sYTUqb6}$FFsDbsZMXr8D%b
zJj2jYe4nn8yoP;^|9i#)rgpClvG((8T&~Hld6u$gCOR4`vnV)nOjZ|(1{;kmmIV1c
zZqHJw0Xp`?1DV^^(y)@CMjvq^bkd<SR7i8gth~Jket#TT=Hn_afp~12@lPwU9x@#F
zyRC~mUurk`00D{T<F7p=G-m%SV=KS9=a*=XwmdwC(p->JJ))pOy2d=*S#eM?+JKF<
zVhyevMCb_6oR8h43%L4e_%Cjl8U9Li_aVa29Z-GIdYj(Tvttb8Pjq7l%3;N1#Hq@R
z+8>U3GB2a_J+%wbpdE?&$>yK$khY*vf2<LV9||oydy>Y0grC%h;I<JoM2mH${iu%@
z)F_o><sSPcA%ml0#o54#QB+u*6WfcYBPck`SlX}E%(?tR<o9BZ6?3<3yR!)vKE59|
z&~BR88ZZmXD#K5m0BH@^*4EaHO;0C|=7fhr@gl`!#tIcoX)vtCuinh;78UF3<fovq
z8ulH(2!PZ$KB<jwa9V06DnU!xrf0=v@|X*>RFWW4G7`v!dm8T(3p?MzHMAQ%cspoH
zYXI{5#e=;y>?0C4b5PD@2FFC)N(?>!y==3k9Fz543ged_bwmjKGr1ud>TaqctHXYT
zLIb9Difirw>$CYF7&%ypr=E^}fTeOk<M*?n=MRP^vLNp3M>b=!EX>WjfEQagGWYm;
z{goy3+cZ8M8AAqdRXGt<%V0`0CkSjg8V0-OzI+7<=U3ut5+bsoFFB7lxcwct)av*-
z^cro)|5Asq&HIyFxVm9Uu?$jhtgL!VdPT6G1Nzm!A<K_?!oeiQbYAyiExis$F4$bX
zVwWEMuYaq$<^}{dl635;XJHY8T+cR+nK9(b6>LP%_g>KZb?WdPc}gN%#eaKZ)BVz0
zUh!KDK;ku?NdmuG++tx!3iiOgkQdTTl{-04p(fWtm%~wn=#!Y1lO(R#18<?GE3+|?
z!=y!f8-FL<<rw4evXd3VY0oJxGQ2K(!D@BnK}k+qR?pCyvraHu+3d^5ZW&%{2h943
z{E0=UkL##jAeXV)G8`IyO?AGR+{IxL5?*`qwy(bVX!~Euv~c+1l2!avW$mE-h0*ot
z{H}pa2WsQhQhZi_oO0d&5e5=R89t5oX}^=&;D7nL3QW%4xD{8YBqld68T&mB(bWDZ
z;`jWqnYm%tZEp)c_yjcu9r}jKdF`mq;4-U)zQ&<(*vMA<-O81G6WjKoqLGJbaI3vn
znOw)7*<5z^hj}*DovsJ}!Y=X0Xo@(}Jj*GQ-CdtQ`$`dyJ4)o{@hM2&5_Zq3!%H_W
z7_jLvj-juig9&EJwO=r}dw0z(d&LIBO(&*#+WCtGxl-#5Bc^<X<SBE+0jOYuw57E&
zkd$LVvCYlJY9!Y+w=@<aWpt|;ejP_GyvPoAvEZ?l?CTY)z$ezqs~ep2^4hQz2L>R)
z1qB2c;w4_R^F*!```4(5uLRh8ONc+8Hlu{qD}MTs<oP^5x*sn=yPh6yj8WDYDW`f?
z-v$u$z5hx^{<ZJBSqzfSt8*aJk)|1a{(1FO``3~4!OTF+ZRMJl<P<#t)+Hrk%d5?7
zn#UH;8#jQ&r%fCZat{2>ZnMP8*9mf&{I!eQ4JYO_`-E_t+x`&6{$IQo0s#9J^fqDH
z9uQ>VTi%_;bze;*(0{hasb*P+^5vyD{VeEnfzX`I=i=VAC-JPa(GlhV*U~oWln{7N
zdqO)^)WRU1jR%h;Vr+sfTk>e8A>;DNV4Sw4!;uZk+r^x82wAn@7bl@gVWFX!T6CEq
z&6=+jX4J{Uxn?fZYXcUJ3<2>nwPb#q9-zV>&3%}ubuc<DLf2cmVL^oDd4__7f)yh!
zV!o*%FzpFwRr$!MHk9nlIJ1}=&@C{3wGhCxL1flfY}?<eWs9C9KyCX0tP}$Nr!@Ap
zUtnrOA3`!L(+jma$q-(DIto+Db7$ed+LbFk53Ix;pKde%nchYf9u+W1x5xtINYx0T
z4;biwDmYP|WT)`mgf{5NWPJG-zXmNa^%GrQ>S3!VWK5Y0)wM1H*E?WI<GXy)JGR=Y
zf{CwypkFi^dC^m6Oy_nf8X8NtM+wHK&#2pzF>l@^Rk@sJKF(L5ZHI5uv^kZ5BCm0s
z>19hjYIiwuSq|z;*Y>xcw6E+<yn@eh9f!X|lxkCI?MW5741N4#Pb!VR>I~xce>>L3
zxJ<47{cwZB5*>CR)Yd=-#}Km{PC@hx#+G$l&Fr?{NI`IOGr)LaFzV6eH_ZzwopUln
zE(g%HeVTZysYLXq7n9jl@7={JO1z9*xc%_Aj_-Gcn#D-o!5E#!H%MelGDNuIx-0Ed
zs)z%b45%1)#SZ*-vjnG)y({)kCFwZ9B=dB-S$v*0eLyJDar)|95>lRn3@kH_zx1V@
zi5F^r_OYDV)?~6FUzsTp$MfOwGMO!y;jHSio9_IbD*}GCi?jqk51j;Jf%eu=LWGyQ
zBRJnctnu=wC$WW?ueOqWnk3sB-}~ZmSU9zA&AsQ_=u!(=hWN|DIn90+`H8_}Ht<Ly
zX~;|)_zkH-mgH`sMoz22vkLwOE8DZ{&}KUyM^Z2`?_Y+AVWN+lKX_RPubc;zYKX#@
zwcQC36pWv~x<Seh&}?)Z6&__Ls)JY0J{>Ly*<>yaugm2Sj@L0lnXZ1Q5v=;jP94u7
z!#2tEM1T8+ox&qm8O6B)j~NKy8AwH_s-RUF9iD`7c9<n>3qd-+t|X7Czj0h|e;YId
z3y<(~Dv`zv9+aEkprC~2v^|h_E}cPE-xvJpd`a-qT=cq36-q-Tz{DnW2&iX+hc)c=
z4v<pqDR$uNIHRL+80E~jE2cwtXrJmL?fN|5Khc|Zeg%{2fQbirY`W-^xRzob+X<o`
zjmht)MQl4qZ4Fj`k8(05qKNFNGl?)1)dH3{mHy44ftxY94GPa0oiiTi`Le}J)F0XV
zQcwvn&KWs>xvu*)V<h+>z<H_+H5mqtu$<j`#33&npd`N$lf=s}p`{^01kb*qjf_t7
z?Ja3a0s)Bq&!<Bl*pk$PhjLBgYbTR>=_}=n+8uk8`jqe>!L9H^sN*p4IF<x4m9l29
z(STlHknd%V_aZ(o-$EA4-<-jZ1vAxixVWR+!R2R5m8o@HVL$ahJ;_gf)*CM4BsF#4
zaD7tImcH>Vwhe@T&ldgOopAK_FuC)Q&3CL+jLSleQTFWn^|@R6B89-+#df|EREg7i
zK42WMMT57~kS$?K*1VQX<XrV}^d+Ztk^Sj#g2Y**oosODu(tat;)o4yKGVpzSrFB=
z+!u&EdxO(p^XaH~i!w>XX5V!$98Ooh>nL__cQq!8#KZJWKbVns#w@t_hHQnlIp1qJ
zXK8sclZKjFm|8-0u>M5iRHHn19Xh2(nx>Ko;ydh*V-YTWz}PebWzq_PcxpzZ4mzmj
zPx#Y%ax}-A#TC=f;ql%B2Grq`|BM}J1Qcl2=33px9%Po6Co+(X9fqD&j>-^Dg*TrF
zA;DzbhMEXr{B!!5RKz2+jGM;V!mja2uJu(e>N?W!M6deaV&;4{Y%FnsaG#~CjGl&T
zW4idsNCRihicxC`>=P*u3D=tshy0MjC!+CO3&k*kXb7Dv#(O+E(bAwRLN0I0XQ5&Z
zp62%{&N-8(@Lg7_Gp-z<R+1eR_`y5hjsbzRhS!JlTd+($q~)`3#jiT*>gw2s%QS20
zfw0DGNBC%!Xs%11bix*Fer~QmGa}+Afl{He!&L1rSg~qpte>OO_(A7??x-3ONy&GU
z`Ep$y9qZu{Z#PzFW@dnl-4GyCcQ9rffIjoU1@fHc69Mn>==)h0mX@?#Y7B*GArkGE
z83L~7Ku}~r(qk4tr|Q84AF8ndHx_mnCX5TM^xskmQ+58O>1e!<-t?nJm;G{WB68Mv
zT*xh;4_W+0A|^eVqsL?7J9&px;j||!uY0;7H{3Y}U_QyOS{qwq+M4+FsVT2GImZ)e
zIz3EM%=q2t>v2Sh@&w$N_a?!5Wn{^cFGzQlTr;t*nQ2DD->&jUQZ_(|N6Z&|Yy9EP
zjvnI$F*wi?r)@EDYpOjRSCZk-;#R%(2t8Ct`1QrsWg{6UlZk(8eo*>M>CgGWOLD$s
zIbyg&dryjUwdZ)Xy}iSHs)4~@|9tTp7;uEdzP|@4WM1d2LH}v_oOdhcqghF`GVVC|
zW>1VutbQeDlEV_rj!aa<ut0O}fDfX&S6)v9PRj18W8s)bme?l7XyY|;3~|JV7e-g<
z>=vJbRAIl}uG&S)>fI>p5c--`vFyzFBrur!Rt>rO9=RRPrffRjev-chu5<VJ*_&mk
zw*@M#w<^vWb4H&xwS@PK<8inAcN_9ZLN$N)i?KMZKAsP5W`sV$Gxk?u$mNCvJk+aK
zD+41W2|_2Xc8CNl?ic(>CA3oyeL_q8jX_j^F{Gy*6VC|^K^Bt^$5e()aFR@4>8H8X
z!009)`!xY9knJPwgFM-m%0B|kQJc;9M-aoiQ_Z0iLjgCtzNC7(+jkqSHb|wh3rZeB
zH|U~)-Q-#TJ!w>E^sc1+rrqHUrtPMpmn0sR<W$6R`ne{Z@XOgJH8MfjXHD{4%fR%-
zK{kamtKtT`@eG22npxVjNU{b;_@(MzimKF!gogyAm=CKWLSVMVo#E-JH&IA=u#C3L
zSmdCpq%D1_H_+?}e)`BG=b&ag7$1t_J!-^h{mycRW#gVHCP;t+q}B)W6w-7#`g5`M
zStu<&op!@@I3kI1`j)4|@yw_BU9uv9mY|B0I5HEH6B^@}#Ug^&rY&uM-ahLC#46cs
zVh(q&RZ$qHr;=WN#PMJSM9%EOlTMn~B>r1m$n|85*H9JuV#U0p0ycF(?&?%a%WcW7
zST%ME+YEjl8d`sB!MoBtZk+}rdQWY5rRme#ohS>rI0wE;?kQ0bkwCFgO0;w?fySk8
zB{1eIiS-FV1zWxJVQ~ZSzeY5r{W@#dQs4x%j^*b`uhcO4eC$2-5$km9y{b1jY|5-N
z6(Bj0Ir`e3G_BX}Dp>5WNhpA+1^p2b2bFVS6|YNl4u*wh=dCnA0g5^nKbWJq#3#JN
z<L@K4_p9s<kjMgiqed}kHiofj>KJ8B6tN{mh>H*1&1axEGOB!zcC&A^lb(7)A`|Em
zr*W<2n4EfC*MSb4TI|;TqTOsEX*8f!TCR*Lz4V7vBgQdHz5g$88W6nj<G=xT*otwv
zp4($#oS5l9V6cVyey5{i{UhPZL*3ZbO|1HE_({uqYeDZ6o)EKx)u~$6LB%+s@F$c8
zra^e~_UTN|qb?;a(tS{}G2Pb;UEgY^Td5+k3{-DSP}DT7dAhGXEW^`OhmX7g^3%Ne
zhTwUYVgPok-V;id*5Kg6qVWAq+}z(Jb@HyK(1xAfyuauqSLzfQv<p!J_C_3PqeoPa
z`oEUSLxF~DyH~7D<yPvsZ@m2|pm%gHPiVhq`AHi?J-qEy$4dvL#rLyfU6>i-#l8HW
zOv*bw34fOh*?44Wr}R^S-yzKn8rPGLOKSEz0mQJ4D<*)D6+Au(^>}&*vps=ZR9u1}
z41AP#u^p|%P%js9EKD5J`0(;s9v6oR&%8rDQsKI^cTg+E;Z>?PZVvj@TL;oYIZna_
zF!yr`<~Yd;PUOq=jy<`zp>3Weq0gS!v(Z<wx8UFgAE%5Z-Pb;gpI2D{Q+0zbjc#Y2
zGRc!KbKvF^ytf|Z@W+8=P|OPK!Bb$4w}E7a-{AOfw)zWo=qSa11TCh*cpw5AzzVO4
z`IBvn$5nqcMHj&-uj(5#)MVyQ(CCn{NX&3UJYxH!t*y@@XK}O&KD9pgFT?=Cb3;ox
z&=*O{fN*(>wR_f49WqF8L$ru=#)H-^)E3f8@WZ<c$$a7?UcyH8%R4|UWDrJoU7QT8
zw@`Y5;ReCAk&xH<G~&rAAAQ8c=Zpr$b8HY$8u4)uu`waxoCcJo1*ev+M_x2rbUOY$
zHUc4D*xt5!fpEY>Q}9%0EOKKel@0cnQe>1;)?q&Gi?zB(0Q|h0X*gq&xoc0Q{8NgY
z^VXDZ>H>dqa>`F@>u=(gjwQor<Fm?1>y3V5G(~mCovrN%%~E5KHX;x~Uo+<NPzTia
zM?o}`_yRrORfb;-mZ~cLTv#0kSNm55WJduBpYrr5SrdcF1KW@4aN{yphc&VBa!LS8
zRd@iZ!$d-K(%aicjv`ab_X0+pKP15NXG|6vL>lwp#_hMNq^(1D$S2uRZO&<UlgQu}
z3q#Foy>`u2<aC*yz$IJ2=xHOK6C@n(HL{&4277dOS_#Bi8Be1q)4h)8ctg$4e0)pw
zmc>S494$3=wV-o23oBS8j+a^dMG%zqNTDMri+z_aHMG<jq;$2g;bPVH$lMkHkA-DV
z#DW)S9<?2+`jz6@iW5KJ(|ql&?{Eb4S%<<w9w}GZvst2-IdV3Qav3Ab!6+*|nEvp#
ztcjR~5#BS76lr$0$m{SebYZ2{yt2Xw;~kPIo5es<p9i;;cj<k*8XpvAb>;-haUx_E
z^vlX)pOi=iy$g><Dl03ydk1kjsC1y0enI&dbr^xW{1zbE*e_C-bW53@LL7wSOQDBV
zw)sKQ=jd`HBNdg2qX`r{+C=+idnrFE46M^<%VSm~Kx<6Plhwsq^K8{jwV#Cnza{E|
zhiM+p&WQ=_YXlDUj{|wA%0v?_L}}o^20H1pr5h_xzeIoR#Qhp01Am<O_rYaC5Jj?}
zv^Xj-Zwo99GqpBn%#b;kaz^Xd{QDN~kZTeNloWOL$xH=vpI|h^@73-^(|E!{hxAet
zXJ-FTn~*FBXMJ^l2zXB^-kCEdE27p=s<(W#1n6p>6Y{u01dUE`EYJF~HJFESW!yai
zDb%H5uI7t(`O(n0!LaJmsCZ9&yE_ae(;Mw@B62^Xam;mwc}YIZ>8LPnn^yJZErj8|
zBzNtumSyK!IOn%JgDv)Qe`S{?FJ6uR7_x-YCEcp->hP*Be!HlQ&N&X+KVeUqY{UNy
z$Ipia{_x7{=O<67&0Rbl_@8=ZcKYD*SBD}*MtsGsH}SM@dp2IWSKlhnPEN*AjfLYe
zhy%ezcCN1Qy9+o9OI)rT1f-FQmfSy!O|MzA>x%(1loQ<uSH7a0&;>=gF`s$8;ivU_
zR##_U__|bYRu1r8#u}Y1L4tzrfZ=K9<O}V8^>!ZBZODjLa@%68Pbaa=CaNj_W})PM
zYJd~|bZyCz8qtMlpHKMZfJVuCR99PCcAC-|ts9~EA(O}~C#JOT3F-}&YLsrw6Dfk1
zsgivT8mx(<hGs_MF&0Osk!r*YswbTo>n+WwD%E>gwm-#EdVMS4w|;MHCECQkX{T!i
ze@}_na_QGBdz~hzgbHa|ul|d$?WiGnA{w=EwODzfE`18p%!J%IuG%tBHqGWrkEd?|
zAr5(kuY-^pKN9U5T3ATuGirQM&VHNmLNqY$s4JB}iFf)q5d={lFr+wXgl#KlT=n5}
zIlicn7XHi&_X}i7&~(}P+HUGb=4^}-x5%$gtFt&&$r(q$vLof?M#c(|ZAmM*raRiJ
zcnhM!E^E%#?m`J4HJFKe?<XEOEB~(Y!&uhtN}Z1?k{~1f-G4S}(<-UHAiDYJGcnw&
zbaX6yFsvTtB<BqSpDDHV>|6Kyc&T3IfsZJ+VER-nABYHd^^J@~kz%BZj0o@LQiA%L
zuW?}(p9|!<tC)tfUm-$X_WzgOj{-9m^nyWAlQdfFXpYi&vcBi-E0-*%M&`^`Fr9uQ
z;f)fy=AvZ*RxH$E;h11oEHz1Bd0p;=3ZufP@YR%|$Lp70d2?sZX2%FGBa`Qkl_RQO
zU2)WR&#ao;7nLY7v1LtvIGYTk9rJztKV(s*7TIJXnoEv0W&|pkuo<hK<F%(M+uQ3b
z<Q17lMUMJ!*@kUmK{JSim0oOFS>r&&1GM&!tyxq;W!YA+N%lpUT<AJ9WUT36Fq>wc
z`bBLi4h1SbYcOv^piAq8sUXPLcEGZbG!hBj;z)s)_cw5*J!64<eO#!)ns}dcQhc)E
zw@R@mrl0N-O!DW9s;Je-B<N>KM*1}-p>9LM1CpHq9ydRQ`|2=Ee}-4#!Yn25i8+S<
zT(M2f#yz@;FqSY5By!Li7f+i^tfDs9A2`kgck>TcS2L({{>8ux+xjd)gUTq2w&h3|
z>S)~mRlcuz%6uirnQ{Z9|74$KD&g*I%F}9zJYKDj61FucD$al-8*!OyI^8wbt?n`N
zXNy5Qen-c%deM|ek<M@9o$vSG_^j2Ya`d>PK^e7lG(i*4Tu*j34l0>zlKA4uWOw2u
z*7CBHW(q3D4tC!1Ra{q$*RYe@(JTcG$2~`yEhcc9n2nZj*M$TmeI698n%DCv5#@FD
z{4+^U`t*@CxOe)qFAddRO36O~H<Bdm_KRIl;bAC~|DJlzhr7?da|=uF47+ygYO3le
z6xI!D_5?yk4hq=+#!~OMnH!|lbAs!vq<kht>1F)jdy_r@UFPZ(&u_xZdS;G-^SOm=
zyLc*JHC*VAI{np2Qcf%H_27}+Z)Q;JPFQ(Ey7as^Hn6&Wk>A6E2n$yJ*~?(~!KvU9
zmRJ~AJtY2}9GR9c-zN-hZDoDWiOxE(E{JF!3Hq_g);4?d|1WU>6moriqy<fczUp6Y
zaxKvB3W{ge(Ja$q{?#a{&zwEUVKN-j(jo{@X9@rkZH?uuyu2sbhYz15w0xti7ivO*
z7ZvMmbToj*h7tq<t?R#}gkGL!qvy+K&<iI?&N6c&8Vx1N$s4jj^lJQXUF8QTm{p2!
zuMTFD7A?026JB^u$u0kDhjc>=XU$iT@o=(`y*W`n(Iri8vU)vhXkqNrT%Y!<7GXE8
zyHZaL927woG+Qas99C-R;XwvQu8BP^MR}4y>)@CZJlmMB&S{1o3?B0d?y_VQm`2qN
ztJnPw`HbHuYEe1_sZQqmi?S?GuRoZ+mo9Ik$SX!lZS*49du_?Q?1~d4`%&hUu>AjH
z@4dsC%G$kQ9Y+~)lu^V&9V^mBnnC~zf`W8H=uwa^ARrJ*f{qGGi+~UXNhs0@ks3-M
zDiV|cp(8ayfB>O|BtQa$cQZ53bDnd~^M3z**Y{rEd-h);?5w@^z3%&W*LAP6$F35g
zn9rb^fV-lW(Uqy_dKux2`~X?Ez|Z)Z9v30SaEg1=JARy0Zz^ImttUTRF6!WH2Z5W+
zWKxrz?|;o-J_GFSZi>sw9!*z{U_*Z<-9Pria`IkjDCMr5X`w`Tr3>$mx9^CPA_EDy
zrMeFx=Foj1zSoyd?fK4VjHe@=HFo_h9O@}-?-qRTE*?0Lcn}p186mzofvBlY0MoR(
zD=OG)rP%ND!nj~~jV=<N$Ak>zvFH1f_N$x^SP583KL8x96;G|Z_v=z$oYSb*2iVr7
z#q-G>t35quo}ulchhvCuc#v>jh~Kqs9f>y}pI-$C4lvPUA32<i3%>5Z4-}|=bBGGc
z7x~C8{);;=gOK@hr*K!o<zfOus1K(E6#Dbd?nOruyA?o@(@ji~jKVn&MWwH4)ACJh
z<Ko)z;b;xhr|awTZ;*)wp=*=BP<$88!Qjw2y2=esx~OKJttauJm=s#tf9%8-5JYW%
zx~Han?&^}_{;f7Y;EbZUbe*?75P~aaddmf>Sg)lLeyit83*u=Qd#*Xy6oS@1j4-^2
z^IdRWo9|#VWH&nxm8=e>zZc>$Un*%-AAFB`lz>hW((qrk>Tp;!BD|0sZ`t~BP97C;
zems1Q>wU3a$cVlvu)N7>mza0_9{Xg}5@9`_zM8t#TH2PTCOD8GR}%*AePKL=H*~rN
zA~q&xN?6*c)(V{ARc9k7D^?k!31u$43a`=Y9gghH)%e20fQL_b71RMgsgijRUT;XB
zJD1_TX{KIVI?=H;32(M}d22NvRXx!VDjrA*cJsg;V=wmqacz&LN>8Z#hBkg><`drM
zx8K5!2RydiaQon40f}NixQ0_yI035Bid4douYB`Eh|IlQD>>F3l6CTFl+ffWKhXNA
zc0V+l`jxc*vy|Vbugo({okrbKhrLNl{!3r4rzULN;GtFT^_F<PtNW2WBk6o@bK^ki
znG>UsHpiihAx(nUCC^$Ow~df0^%?&$cleIf*pnyPXCrGu!bzs$9Ubs=7`qcQJl4Th
zbUDv$8oIA&_3}!+BaDMxnu7x91EAIk5V8kInudQH)KaQh{^3~EcX8WEW_gn;)9{%E
zLG@QuLcz6P&~<4#=Y}}07^2wWEIuLjvaEn;#EV}hjNb^|qxYAEd4R<yli+DKD32$o
zN&HzI98fr$v&CKpH8vo&>=N{k16G%ymX;RzvBTA=w<_-C4+bxdjEqe7&YyO+*TZcK
zhqGr612zAXK>1F2DU`@ZQc}{+|6aGNYl0iRG}fMdGxm+LOO$wq)bKtdl%nf4f6JjZ
zU`iL~gMJ5Oi<O&?Zh(QkNij!dc)1+;S9H8k0DaTf7dq5J3vcY6RDJ%O=+1v<^F8U0
zYG;cLvD8|G`}P7(i6m=C{pUu%z;lxa>3+KOwsv=26FfSQ&&MnM3e>Z2r1*}9T3s~V
zbibJC<Rs6w^6(O~c&~pWuOq!JYftfIiJG?+yBSQXR&<a`eP@w_bsQM*5!ABG77oE2
zO%#RiRPql1)ryJPOW=!s*R^ZHgQf9Gi&NtgQo!+BzoeK+H6b5PebgH|)|<@Jh0h!H
zxm2zBj%^xjVRovIfjZO3bu@Vm>c41h<t!zm7PKLPYOIJ$_=&Qe(Jc+^waM><uglL~
z&j6Cmg}q(vKd$zaj@nisBn=1yf#)9zOAFyX!dZIn1bP!SSl&feCx#{`D21$0@l<x&
zGvEoBTsau}-AmE2?I4Mz%KM&MT#<jNaEdv))g8m0oUHDOTj+`5@2M+?EgbP3T`|6t
z(a;&)Ir>1<>ZF#iLM_`YVXj+`ZN3s48-qCbkHSd5D{$_<VSIhr-EaES^8CX?U;a?r
z7?fOo75lOj17!I5TZY7Chx;D~W7o1fR3DZ%-GS_Sq<v}nVWvawB~>r8=jVx#OgHXN
zliwcvQ4N@*=Tnas+F|yV+6(84nEnogO)XyU<H!RY=L6q#=g7eINV$7i`)}X-6?S~?
z2{p##by@#a$ClTpIYWUz)<12RYy-Qdd6m7-=#a&mhfh5EqmSW`w47{V8tafS5i(_*
z&BzB3aa$`F0#oFTw@9a!XF?U;mA}m{E=(vb+nexQ&?3irujl~oPLo}(3{+L1nq=qU
z<>}&yN<Xi?&wsMgpnPkG@iALRmL19}eg0K7-i$#2M|1yB!7EHHC|p#n_*@u#KwbRN
z)L_pS;bo*Lyf*Z%yoB8SCbP6QeqO0*hO*I1Lm3OlE~Qg{y3nWoOijasyYR+vL9OYg
zQ)@!6T&@YG`dz0I_gvYEm-zvdWp9OTuV0kLAIdkXa+v()`1n}EzKQTLm2XE!bTN8i
z%mtVt!-%4vdm&Bk%*i|K&VDlkW2fWhH*&GDg|7Qnj>;OcOdM^9fqRg-OKk()wsOG!
z`fSw#_uV6xRb!$K>7NiinOJu9VE_6e{l;h7S$NDZzq7wzKaX!k);`uc7OXn2mBbpD
zNU`C4`ctH=p3?`GXmt_$h!7d$(q{;ZA{pJ>G^8{9V};&;DNs|i9TFBoPT3<2v{4TU
zj!7y02n{^`knTHCyFn>1HI1kh`|u(+$FB23grxYT^n2O3=Z22PZWdm1qBC=1&dKNG
z&dGuA{iso12inXRFHd5i0Gv^P5Zd?c(SI$`+hJg!Dn$Z+uTtJOHZ@H%>STFWfxVK$
zn(vQ}gGx@?`zPDaKqVc=OkOcy`jzq~>M9bdy}cJ(ZQu485Z2!)UVWJzdFIbWP+s1=
zf)?oS%#M)!weJW;&GM#~=!yICdgPbrcfWGqtV<>V?FfiasWU(A*TV0`wF}!4AINS9
z`TqD6(tF)xLvVWGhN<sf?0tGt)*aE_DD*;Pz7NZ;(ubp!p;dK%vS4=!wen3M{Sb5F
zcBh7RJrE0$F^m;FzuD^?)!!DE!1F8cPBY8%5ek<4{uS%(M2HaoX#Y(L5$1DTdaeCq
zEyQ)j&Lb<U@J9b>k+;>s2Tl1+ckb+j-**Zd=8XH>#cySm<SC~&BA)erHCr(~7H)91
z4q*s1%OUo(7&whE?LSVt(gq0#^(WVS^|bj*Jd709beyj@_FaKfrDA)fK_HUjWtguX
z<k3S=Ul>+@AA-|;qv;~QA>=bLhHWBjwdx}PLh0^Av$jM2HKrwF!S<GWvxe6w3x24!
z;@)|~^2YP5=LehRtn-Rhl`}4v0`*oQ_wLd)dmpvx@7tqb)vc`mcBR{A^%5F%8-c=S
zLk<4SBLE(=(dL%WB?28|B?EnKG1X`_TR!!baW^`#^t{(42gp4%_F}Uk#PHFBa#?76
z>%sa<&QrHLE-Y_G&$;ORwuITYyn1`r(&wk^Z?4Dxz<@EQkt>TYb#d3>Fa$Mrc^LhS
zx^_zT3kr3QPk@K9>(vu?nrCEJ79z7Y{6l<A%<bV;US0){;{D~pPfSL&F5Ziq6hh9n
zzVhW1LOXVg?J>5JHI^^e>_&V)VdA8@iE$e>+kqTF7BsGZZ$KRONmtK&bY1th#mkB2
zuU_83*`OKJ-rlZDA5MFZO<YbXd^hub5}Y#R=>CD@Vf8m28QpG7{r>Sn1P*VyCsc~5
zySliC@a_7&ri-KXuCE)`^bh}h^0eibCwoM!^!BD?1^f)St!59)%zxIqnK$3y`Q-YV
z(}Vj$k=iXU_n1+)jcjrYf5|iMR-(WiDM9R4c|Nxqzcd;r6%fT?oBns`jV)B-%YG&4
z95&6I#sp5S;*Ec|-iipQM{J$%=fQ^&?|kCu(@ij-?LJ80hvEs!%NG+I>U*TB=MSux
zZGFk-8+#^~80Sopfl5fXZ#_LmjR?M=oV7(zdUf~5#GIgIy?L-UIiXF8R(nOH4TjJk
z6yTet=crUZawHs^@?s8Q(=PeHUTmyQj1l0rHZ>WDqz4atTsuA!JJqG0PpSV|A^vOc
zbjeaxEXqgvcr5eXSFlkhQp<gog<7;=)VYFBtD5a@9P5YJ*Db@ouOxj+T^l^8V0TAN
zOs&td$*HS)GM+d3sYwKQ{1hG5xVDZnY}YBMN>8r*KJ9NoI419yg^vOi=BbgtQHSk!
zHy0Okp59P(9+GXh74Z(_5xu#qTZTHYp;Z?26e%#^{(mJ#Qi&3k?=$@X`(~5iG!L(@
ztFFJ+j>F|faf%ABZKZj2SC(l~5yd>+?Kn62bq9k4z4T>`ky$DU=4-O|5_;Rky()0~
zTDz$3op$fnsYq0G#C6$1AQ$enGUsTh!w#2}a*2$iPZj`#cc_t~aeB~uhc3cjIEBrb
zjE-i#^sQ^G7VX34MUiOZVrdTf2^qtTZ@b~DuB7{}OCu#JCNNMN@FcD#dfQSu5@Pr{
zI3C7R1j`-%U1@1oN@<U^b~L3oyN1@P8BAJrS&{j7uh_BXlHC!}U~AAbEr-}@vBTeu
zOKl5-8coM{&E+On`LG-osKSL%qS53@`XgI_K$Gjt&5~dVzSD4yiy9M4@2w1zVE{b}
zU*vDbSewTRK)cqbv|a~X-WGTSJkKhQuJ=51+h^cq+g`(ql0rD>WoxpV7&4lk&{cF!
zO2(__!9vGarsZ~h9qL!b7bhs~-|o@4-+Ed{!tZ!P6nZ*ad@VW4yBHhU;V^*$s|9;@
z=LgfO3yaUnk(jEj?-4JU@5E2iYPlEDO|vH`yK4@R0#9cXzwr=WZV^IitxG!tW&s1L
zw2lN_JwQifZL>pf88aZ@TaTw)hqXn1v%a%iM`uOJ`lj&`;+jk9f|a$-_Ei)xstE0h
z`8We771shBu?%~|9C-&Ec(|m)%W<Y1QFGnY3M=q7=#z(D=j%AFtZ*P#%`zi4{}6F%
zc)lp63TDw76<_Vn_&1X~eR{(gq#+$0PnR~8(e$bqlhV0`uWGzD)pTQuHYFoO%`O_6
z*WrZmMMj6KvtoGMuS)L;qNA&EV~*9PgAgua8X`=)azz$+&vFe?V4&=GU^&Xyq<UhS
z1Jz~<qx%Tgf<z9iCg(>-|72(dVQHbwC{D;3QeDc?NvX^ag7HD&+b`3E120kkT%Z5O
z@-OCNfmanofOL!JwV|G4`NHfO?FDef_1k-SVdSPJqbIp@#ak|CRDG`{Ro|EFYvuOz
z<v7Bhufx7+W!4no7jq9A9g^Lc#Du<Es%n9mB*ZY^y_k>R8S?>1mz$oHbVO}-A#1L?
zuB<iXmlPa6A4K>GT<2?`z0xhsbEX}-Njg89gWp#ax)89k#sr&v)13S6UgCC>zVx^Q
z7%q-E5^;hu{wR*VYh*9&%HhL_aAkD5<+XTvxCy!|;VD%%peHQ;#E>ag)Y|+75f9RC
zm=qQ-^=e=2xAbf8nphVGq+y7sTz?3j17_)T!?6sRUW&aWdUw%CIbL6JEI%&dMCVD$
zH*;mQaAL#G*a#%O9=To0b`+>$lPPLH61Bj1i<->_?Wx&?;vW`jz4ME7HYwj;<n2~N
z@H>z<T#3zQKZ37^MUI*^RBjR)M1FHJkk~NpCA`@T-yibtr0{R5-v{9dc<v%jHH4?9
zJyeA)N>!AVQW6T~{VYo`bP0m7!3`Q3Cg$~sUK6rVKw!jt=~JjTcm8D^K1h47En=Nv
zY1J-;&gK}f)<FX&{*_Hy2bi1RWtv->z1q^13S26}WDn1K!(F9_uPlnj-p7VDu9vwz
z7%6^zg9zpOOPk6mXd5RxG4jQ{ZT3Bq+6!6Ayk_a*W4fW_0+KcW&`l?f{!o(?xNGqb
zV0B-7Z3M)u@Ggl3t<?6a<xz+AT@{w9W@pb4okgs0#zGt^H3%!`knGg*(opgStpm^a
zu^;<}l~q?&iv3+Gvd?R+E>*Hjd$fx5ul%wS2%@t3loj6cOEpzXz2Mcg(RgAE<Uv8T
zP-CV>zJUjPPGbkzrfDU%=qKpJQlvhpIJJr_TM%K%K}04W5!&<$ABsE-kl_+3kaZ6f
z-J^`&^YA!;NP2p!%{vgSg5ECq%2DadG1h+0iz;}u&_6e{Bw=jxx<Ek-(V0*TyKP2R
z>4danilT=c^TjkTp)JS%$<Hf6AZqy4iWWj9qxdMw@1acJgDzv!Mt-fE?+A8%E5DNQ
zexb#o|67k?``2CrKV6)<&r<K>vcx#L)dd%jh7>9AvIOnQu8>bK6Ft5APykx3?$WqX
zgJA@Qk5^AFGU|>^scV_RYq!v9uI|?F8U_H%7FQWf&$i>IndJ*s1<oMp)8W8K`J0jy
zdR!!UVd#+=y@lHQCR91*>pGRHI}AduzT0&C=J_^l<(s^*eQF`QiSR&6WM{denc^lb
zutOgmFQSDHA09mZmj>q-AL+4F^Ir67cT6sv(bn~9c^QeQ4s}}4+-#WWLCS4CTfjJa
z|E;pVjsfGyKwDT(sa}C!jv2qj-!^hNB**#THv~UOd=Fzrm~7_tHc&5kE(r~Bl%#M|
z3IAI_%>U^mg{V{P*n%*h{)9<^v)R-}Jh!i!K51J|X*%+sSee3%SbEtr6uR#2D$Z->
zcMY%DFy3d-6VLoVNR}HYr2WLd3Uy-wT~Yjh&l+*`IQr}De?WjRt#%<O<Inf~H*`}*
ztDr6U0M_ZP?kN5^di6lip9}MEmiP+{05Pr<09=D&0Lhin!%hP)ci{2gfEs}Fv@279
zfuIMRc1fT90`m=bl->dTf5*%JGvU95=zl2u4|w~(oFx*&LApn_%R3^3vxtZn(x*>n
z7k^zba&NKJzlct6o1$^88~C1osORx9!5Nob>W)3oe*Y=CW9zqpOK4mIutUsLf7k(#
z&4o66B2Sa{G`5ATeb{t{s3kr8F5$%t&={dnfL6PIN|F*CdBmLsYyP!)Y3p_}YN3}U
z+@ZY~=41G*y7@tMEn0ZWAQiJD`9ky~%=h#^^ycX`SYxDjB)r}wsd1RK|M20%jyF@s
z=|5KKCn?6~=`df<naLCIaxeTbKP|61l2TjuM<%_Ia!Po>d$zS!GwsUgbe+k4zwJ?O
z)}fX|4KTt;!}wu|myylWkM#5+2cFY_xz$ceQUpwge0S#7J_fsb#{Ik)vOc?GE9v88
z(9nl_3GJMB7j${SEzv{5%*(Xem;W%LW63S71KWoU0Y=(Z2W-r*+UR<t8|O=U<_DK#
zT!WO-8R~%D#Q*^5d~Hi$$ZX1OxvF)t#!3xBcxnf!KK`pi`C?_qOuY+o2ej2`NCI=@
z&Iw8&l=$-Rum4ucy6}w5CZ?aq(lkOJ{t_@LIu3nlERiz#GTlhNc`9%fsjGJHUXfFV
zs5j5)ZMmZoymIh@h2I_9;+qFr<N|xH0#i!d(#C2ZZm0@(!LhX6Hp4L>69YZADW_-r
zy*ZE5vQ@kE+5DG<D=Qi2+f4hGJ*$zHZQwX3{$)cYW1Y1c?_O!Ss<7FOPzPXYc(^@}
zajRR4Hx;QBNZmAh@lVQ75t=325_b81tBR_2R{;VAuTu9EvxkKQ0;p5juedA<u~KcJ
zz`8|T6)uNg=q_(Bv^(}TyU+eeN*ckuB}A#Z)>n9Nczc0sAsy1z`La!h-kO$&3+br5
zB5}A&7jH(D7%WgB!qYbt#h-U-P`9(Og$7mUku5TAUSKxF?r;iriY^s`jg5g=r%kyB
z)Z(am+z}nJa$s`D=1S0Fx|HDIe;5`_x>SD9DqBdCwGjf$^tF)fB4nFKTN??fz3>dd
z=TsurxgkAkTc*UBdMU(*)h(p%49b$qVEa`M_?)iaScueQk+)~rg*3WWRu2*360Qlz
z(9Ha-6lVbA9zccX{H7VcYN`=B!bxY^FkUm?Fbo*9QYm?4J%T$nU1x0dTZWb!x*g8C
zaq9D5EV1h!*N+E(OTs_C*wsP$|G_PF+gnSKq9E9Z&rMA}vf!fEc2!=vU%!4Gk=pmq
z7v05;0&K6f7O6-Z3>@*};}eip7`p(m#Toc-cm2n2eyjrC?SK5~i)4!b$6x>RPk<Kx
zHxXg{QsXv1TtX+pCi;*>`Rq(rj%Lu@Yd(*G`%f$s>;j4=uP-+V^<`e$(}%Sm$W!+j
z@@S3`(F~lvvnaIZKRBpf8QtVcV3NdER#&YPPv3kXYhPXBMnSj34*m0{%&Pzjx?V*8
z$Il)fBL&v{3b=v)ygC3mM}7L2AAPh1ob^lp%Da~j(5^V_100`!UhaTvM!pLY_~#ct
z<N<Iv33&Mbyxu)$iYq?-7oLAy@qgT896~`#IVYhJrI^UA+eFM({ELFl)#0~L4tXg*
z4pF|!n6*^T&-y$%sM|4vBl26}8uX))d@jla!@WVo1QX?{T4ulTHyNgk1<;xgrmg3#
zu1S5HzxXt*W37FpbcYs4_w5h{B1&m8O6h#zkGtTuq<>C)<hq`fN9=}Ia&|DTd)kqV
z^%<=&^cOh&z{KD=9@jWp2&HUh6DK#Ne%oGap}wx$5c4t8TC{Gy|E?36Z$fXp{5ZmY
zj%_*wzjWhvboK+^?fVJA8FvQ!NdDp%exdT0i<3gOFzs;EtdVXh)dcwDzcZJ|<eg=!
z>4r&K$eWGs!w-m&F}*MPOaX7Q_5r!ueP-BF+HqnK41|P>*XU;%gJt%kMW>{E2R<e1
zPXGDLiH#d+=@+l%^dI_AyOn$;O+?p(%HIrHB!>MCeZRD!e};IgvUcfG_#SD!*+^Y}
z>c+&*b9bSDcs0OdfYa>uf;qxfM(6wvL}_$Mfk)5&#flGspf*4yabUY%;l`_uu*ikq
z;|DK4+gXmqIy$?5uJL%})$P?Zei#r(ul_uuMWW8W5Rc3+1)+t~Y8;z%68hwNChqhZ
zS<=`eHAcFb?jVC}t=ee&1fa>ui3foXGCwDC8bjN2X_skN1T7Ys5zFrv!aQRZ;P&?@
zE80^8Kes=b+015#M;$ytN_MBM_KZc`iA{F*xJeQ}oqc`SU0KQ|@>b-y06RzHP#58g
zj2&8Mc)HT+G7l6Cg!*(pn8nf0xaWCHN8u_TGVUqFT{2~z7Me>jodD$Nx7rp~A_-`l
z!0(;@e)W0&$ubwt7>};RKYjGC32kN!dZsnZK5hqQ<mdb48UqNO?Fe$_hrid%Df_<i
zK`B;t(jk%@%|`aHd6o~Dgc7aypJ{f-MAl3N-CP)c&(4ui&(Hnb6(vDdJ++c@T^Via
z)M!*zA8FR#1vHn>?momX+8<kS@~;V*Gtl69h`mq3K`YqM2bbFOz6j1l1?42g{8a#w
zZV6em{yc_xusAFjE+b&#$tFC~)=-T3Q=+eC?VyJL6q8WnB()LKo$%hP<=cZDD%F+T
z6vfXr$I`e4_Ef93C)ie<MAtw&S@D~TPC2*JqmRchBj$=m4TmBP!yEZG!i{?qT=LaI
zxh8-Kq_@Z%S?ND`JKFirDV2-2=#FfP(yoY~2CVB)Th?sxnqB06`L#b6EjEmH{Qjjs
zq3yz>zYy!?R|z0c3xs7l09~5^*t$T}Wc=1&p!8$t|I2$`^yS<F<Zst)y=zwgr_Jqu
z=JWq1pJYH*%dDE+{d&9AFy5_k{-Rnwapya@R#0E3;u*M1Yb(v=#S9e)Z34WS0R)-E
zUjl(8K(#0SrGP(H?Wp;SXsyzD+N|MV1=w5T&cKU%Ld7@8VMR81HJ?9UKPrBtB=g7b
zd!IkMP-(M2rPvmV2Xz|ZjJNL;_c*@}P_-NkeJ6d`(Gh@McS*y}l~BK8cf5UXxzB;B
zi(Y+&4U+4Wi||Hm{*Z5uba!QFkJZ72NSx-Q2cFuvREc56xW;*}t%Ud9T1wHVte`-r
z{;jo26~$=vy80z@T6$tZn{cfu<byI=3xM;>7Kk{yt$}5wf0OD~K4dtyg?Y@!zQ|~a
zFG^JAiAMS>TkbE6RSUQk64b~U@gM0{pb&6DT8>+n(S-`$EsR0~Eynb!LNBj>jCWS0
zc^s<pCqe$Sn;pddG(u|6v|5lp*<kH8z)if-(x{YJnU4boPH4%M<qr)b3ZXDqD|y)9
zNi(^SnW4=gz1urP(BOzh78vOrZ$&aew5xG$@sWlD5W!a{)Ie>-9;>`-Vh7)8LYXZO
zbf=eEbw1owIS;}ft1|jV-53cC6^NRvi-z`h_g;<`Ix%2fmzpqJnl^PkZUeasTw7SL
z6N3b6(zrMG0(qt@{A6c~V2_|)-{wWF+)-&CQ`*c9{`^UIlkSzhevH+qPb-ZN#We&A
zJI#a|whFV6Lx?tN3S9oC_wk03j)4@*SCm|qAR#m}H4jQtvbsXJgH2bl(ijjzVUYNU
zr}iHAowJ*y+%EzAA$T988){fag0qSg>W@|os4b?S{L|k!YW<ffw%0MWd(E%!vn{S@
zSfT3Z^pcN6n>Hchs6%#~mzrl@aL8y@c(_i%B2qikchnEE5o~N#Y$&tW)|7GYUB9WT
zXjR{1A$N}+wAJzLd-93isY*01L^(~Z6e*gr*6v@zwle!RSLf2HWml%sH0`pYXmtDA
z0ZtfowaDSKspN5lCrQZ$=<zOhl*Uc!5-PBpy-GVVRczQU*&7{4M}6DgNl8kM<lOdK
z?Q2(9v_jIy`UIeQ9^i?ARuFolG9ea#@YlMu(Ck!7q)`TAuLEe+ZspLg1I9u^-6fTk
z#X5X9$?thGxL`208-+nZi|LhTvA@O9E20a6MkiKQ*{>j10~-KqI9cu$b94Qav1Atn
z>pPz<fIgYKrbEpXVM?crf7x*R%K&)}<PHH7H}qO+ZrhDAyXqgtqr>Ipe?(}<llyKU
zvT`56QH!FQ_p;rv&@AJV!zr-eZ+b>szOHevS8tZ@I$kl>_faPUObk%w!a~0`4MS7X
zsJY{TD4A6=H%UzFi&CpkaddP)G>R!GUm6v{?l(x!e*LzkW$+QmR;)iFQ*yyerniMQ
zp^Rc~4h7URH$N)IOGe;ZVPUOgX|rZoRkMl?p<;?rvYHP#Z=#Xcm%!Q%*+B_GXAqvB
zls$zKZP>En=GC*OvkyYx@<ttR3U@m)ifgDl77w?o8Ft7(_6>9M@%djHOkLxL6Z28T
z&#eRC<OFT@m)K-g*U%{EH7$PQ+rPB?J>Y)8UUPcrDrGcK?W4kW!0!{RI7D|6l()2Z
zj7sRAc)wt%v$A#uwpylo?tW>1OO7PCN3?lrcKp;*XMk4^-L>85g}J_@)D68zC?84J
z5&ZQKB)9cczf@|fXQ#<i-E`ddV%Rro$(~_V?+7WiV)HvXPo4-0E~AiBKH?`RIGGS}
zN(<p3vegceHTPM`0S5b~`~I11uUEGEnobT%*Djx9OZ8rRSusR=j7o3?MW314fGv(=
zGhaE&+N)bRp~nP^A2moysDTehmrf&286`q>aMhg8Q#6M3_TydLuuwa{^f)?X2XPBC
zNvxMj!Irh+Ywb7VHr$ArM`WQnWp+Ue`B}o&o<4cB|0Y^}wJ7iHh>;sbA`|BrDjh~v
zeORS9$mA1t@#Yh+)Jv=KeZyPB#Q`7uB_$hW2j0gzWmH&|g>K!|AV$fNxekm_$5}Rn
zS25y9_5`9ez^BN-y2v@IgYV>r6*x%47kN&u&oW=YzNjES`X{4-PRAPt-U|t;>BxG5
z{5d!I9&b}>cFa8;SzCPdoON-58FVR97p=7!wx&d4{Zs?58361h3QMXgsLAl)EF3py
z{R;|%LlWd&GNPw+hHs$98droAvjT#A`y003zNe_ebAdFX=Kxb>C~&2uojYX!K*;+|
zDGD51=cQ1!IHGqBPM8$4)7Q{d*Q+>^w9P#c0kRVo2r{d39uvfxnODvAS-@Tq3H${Z
zTB@bRTeE{7%iK)s*q(C+mPX_&46*XM+RrH;g|35gWTVJbN{!!Yn?H5lwboCuv|G(?
zrgXOp=Nk`hsQBZ*isbH~(>Ij;1N-nkGNGcV-26!YzJ?r(+j%JMLhvOc|KhRUEd{w&
zY6~O_oIb-0$(MD8v^KN8m4l4nEysLJ2H(Gk^T-u9flQB|ZC-fMo!a}$%{*UgtN!5T
zB~x>^QmHUEDT)~{>+HGtg#PL_1=8#pk+%=tnHoM*&(GMXscCp=sFjwu_SIuEvT(yi
zB;{Dvi(YKZFzS7q%gI(yQubMLsM~{Tgkz#i;!u)g?i+1Vs6;(GZew2fZR^Fx{`HLE
zN;L(G!~GPALhM@-U9E8}&LtGyaVHnE{Vq`^U8F(I{3K~0(bK^+dG(7&Jtt7#h8V4I
zl0+ZL$m~6nirfB7Z@Z-9UVbFl2Vzyn+_GzIv?9|-+#<HV8B&;>EyuwY6)ei0;4e9R
zNgieYrIxHP7*Ok@tcdrZ1sGlO)e43BrjoTop>a&@6BsRp*7f?^)}+H^@~RlhwvNfM
zZ$!uW#He*Nt#BNMgQ8Ysw_5^rQ%VQykOb{p8Y!!(?pOD#%?&{?`ZothIusdtb?SaF
z(^0>|yt~Aty4gm>x$k*T41ebFSuo!SEKrn^vH~VJhdfXz)lH9Q_<i9H$NP_}___>-
ze34~dExLq+a>D}0tEGtK0Ie!<-HuT=`IZCZ1*Kr5f4y?TIonVt9mo~5y>BtJ*%n7X
z?mKKg$ZWlg-q_?jE~=xU^OK&g3nSQ*!uqp~3GG%{k7};}@zWG-!4<xLE|3z&vbx$8
zQ#W3X5Y_Q{+J9ccvh@iD>k@+Ce?SBJ#OgO%=v#dS&JPx{*zsIs==#25yL4aCT3EbA
zfD|PFV>;IomVHCv`TEa=Zsh8^E%dP>o6|Fx78YR0TyA!w>m*>pOO7_EnA{fViKD@+
z$LRh{!ln2nY1@}18g}7$0_|IBi+*a$ZzS$~0%YYB?J@#{qpkNP&`Gq)8!v~@h*|Hr
z)&$GBu1G}5Beg#P{62{I-F9K59$KLr1{E3^a!8S1YyVWe){e-U>MgL8Y5;{|`_D>(
zS0K7F!!=6n6!%<}zr3E3zdV`)c_n9F+Fik6=AvN*FQW0EWi_lZw*!x&22@DfS@V13
zRD;)Z>R1WGoUaFPb2PPLk?`g2iUDC2YmbNcIzb_(xmixBXvN(;H<R#dYt_ZL@^jZk
ztg|b<RDH3MIO9&z79AtvEm7rM<<D?1PFwy%5}uh+ii6(Fjq4HEw@%i*Xwz(nf?)Ho
zk3y*1GYz$@N}V$%p0$Ww-dr8sa3U(rdjBivbN#t1&T*+ej(Jy93}(JX4;9~QFP9ZP
zlKHVSTNYBEsHv@E=7LffP^U4zf>N{J^opeMnZE@QY5HIVh}9E5LQvlBdY>r1chA!(
zZ(bC~5cJNUJ5?50eC*C#&OVXPM}M<0_rbux&^*6RR3NqMv9zxxt!@e|f7a~Dr+c!H
z;w()aUZsA=+k9iK<kvv?Aak}@&4pJSHvc3YjJK0{zE9x7g_0WCe!uK`fnR$jtGthH
zfqBhkTjeG;PUgScG0wPqe}4014zbqmWrI&LJa)kR@pdg43wtYA)HClkIuQ9vp90N{
zf6Fwa1l8uwj}-VfNm)G&K&;>ba(Ho~IagR?eUH)j0+XpES*OzuDRb)9C_c_3xXn5p
zneUDJoy00Xs5PsLG3iRiTfai)6I)g1GEY^cUKsyM#kj8~!rD)6Jo7E_a&VV*z&SOc
zyK+KC3oNcdBq<fhd>Ma(XQ}cVw{Qm;xg85)#bLP?f-0p91cJ11{(XTVq_pt7#8Pjv
zA0g-DVej}QB^;#otHpHI&prug+-=&v*>PWu;%f^lvXaN%KmNGuc@)aJO5eDzcEB<W
zJ|u02t}*^*5GcfiD5J$%-n^D5R^#`DgX>=t3Gl6>cGY>Bhfd`7ZSeUkwW%Y)AWBzh
z6ICu?%d3Gqp;A}X$B~r~y}R`sd%Azkznbu@B$}`%rnr@p!CC&XpXYHcuAd}jJ;BFR
z($+l}ssnGi|E(|_4GxNHStva!R@60>62XmGAtNsur>{cqiR&a5RrR3zjn!gWrAr8!
zoLQVZZ=^`{91euGM|jG}cxN;^T)w7saIrK&L&K_1a9r@9;47TJI39FN2GUS!H_~NH
zY1GmW#6Ph3gL&e@8rO!x@F>qtPW9&XLi+OErPVy|f}-Rkv#-)FOFGCqh%i(whJCfw
z9*vxBryk4tnM@;*B?lbZVd%n2c)FVRilvvevYAdQbVA+|>?0|aUHgrx4(%bn+(DcV
zG;VIN1oyVRI<{w6Y1;r_<(aewuZT1Ut4eAFZ&PfH(}+NM#>VtBc<QOGkou+nYQ<af
z8ryjVKm|1HXkxzKhoZ5S4?1z*OX3Lo1|#Kf+zxk1dDWuQqF_s6(U%Ib*}ElIu!Dv`
z^IGGBt<P*Ce-r!dXu-#;kzC%sf^ICu!#_Alo@P7Lh)r7?B+vC{l^XtR>%<$dZ{+j)
zdj$3h$bMWu!7%zM94)pT3--<QRZ8gI{PLaLC_sksXX}x3Ji*2lSx5U2_F|4Z?~(bI
zVe{lt$fEYuJx_n?AU?~QvOSKLb;{4!XN<{DIo!kPwv@1{vih*u5$Q|z+=^(xE-@Ep
zkLRUHNc9Ua)a6uK*3ugyW2a3ct_P8SCJz%UMXCLkl*WD|>>LXG@Z)oeXN1u1#+B7_
z!fXG`R!8bJig8-eO-3Gr^CT6AD+roD^h>3K&J~^fkjF)1BgSWrm0E3%k37xtuU&ZA
zdt6GWUqYc+<_m><8Qwuw_!?%rVcQ5H3y}z0;Bq%hZT8R!h1>DO`6Wfy7X5hm6rxXI
z;oMSrP%je=Xtm1n&ztZm_lT|3!#xzGtGQ`o#cS53)&WkGkNMt3S4k{={A}Np5qqrD
z9<1}xl27vaQF@P7<w>CuABFQen!~C>yi*RS`zB)-yV85~JwHChTJd6Np-~e_bjB!3
zvh$$Y=PAa5jGq*gD_~d3xF%TcKvlp8O3^e!`EM)>xeKDJgFpG`!nnI$2c5mf=#PVJ
z3#1o2?~i0Kw<m(W2Z;Up;T_UHe3@-+R_Nu$`u@9de4N=z*E>{?Zan?1;b?=CFq8=8
z7>ZI+`N%)W{rwAj47{34$&n{X=o1vBD*E@3p_;kCp!%}3&3GEp@9rDJ*Vs(wQ@iQ7
z<0R$)8G4gE03nx}djA;4cn+2S>|>~1Sh<JjL1$KM&v^rhiZeg~@z`x8N=BCF(im>;
z6M99#8UW#l+krIN3hdZwZTT9m|7#<@z_|by1NP2yKOfg$ObG#F<$zMkZjs{}MopN7
z?7FENlM9J0{v%XV9TIc2XI%yJBgyOG@EOsn`|(Ku4R!{rWoLZ`FBvzXALNVXK8<V9
zbXq9`O&<V7isN;nK7bZik|N6j>X?l>q74x#6GBrUKEDU%3z{Aj%X*uPwqV8ZN&X{7
z*UlBsq&hui4^|gM!1wN?Tw`)btOK@GU)LUoAU~%Ye9}T&i|&^iztZ>4Sx@Ma-nNVB
z+6qJm8v~8eE(1#A6-P_d7jKu={ke8a>6Gv9=zU-Q4$%TeE|3jTdT}Y`P3<jsx_~Xl
z_J^>AokEz<KvJcVQWY9AB~EF$9$Rc>^XjLj)|on!km7+rQ$`_QyEm8RGpE5ZIw#&?
zv08Q%>&S~*d|+X++es2|b}gHu+WV%)qdAkA?(C6RO3{*vcF<A=)(U60Q`>3Vf=jCM
z>rQsjwY;C;?gBhR`)O>kbFQGQu#?qIvb8mB)v=d0t24KO(FvR3+gsrS_H#qSMd?#m
z!Fa9Nv5mB1=fZ4RaL$t<-Od}Pjmstbex1)P#gApijPLH>J*0Kf!B{ffNbC@lhX_od
zqsOkvnwQ2D^~++9xXKoqrzeE{_%=4DF(bo?n6XwXb=1GsNTRd%o3~s01Px;~itKD@
zmx?SP*!r<zCyEX>AG1(c@8_Lun2NHm+T1lrtVz?=v|=SGN)Z$&C!91{d#j3pgX>Mn
z6<3<9W_hV~tS)p|*fN*w^YKjGMnY<lW#JoU16r(;>^NY(C%>bs`YDRk@{U&Pe)U7l
zv4fU2Hv7TeL;7oMgadrv3DmZB$ZQ$D#oIOPkMfoE-2HXcK*)qx8ms?cs3a8gt3|pf
ziPMF9COX<<ifL})xBF;YniuQO@U5presj>rN{VGG^&?6?Y1>2nK@`msg-oTfQqgfl
z|L!xHdZCU~zB*@S?fpK&y3|4OA*d;PHqS&u!>o4VN&j#H3i`sUijn0nhM!uWO1{(F
zOzD$rurIjt0Uz<xb#U3(!8*>T#W@v^$NmxseNzsjR1whGhHuTdb_nj-f|8+MPZU0v
zxnht4$jMv7;R=&v=u%!-t^yQ?|3j|Va^SeW=WYE7s)ORTB8erQv3c9v{#XIMJ?N;1
z!*njA8cc!2GgAHI7~gsNU`2bwPrLam)dZp9Db1tS)@q_5of!>Lb5qP%wMdp^^CI8r
ztpTDw4;A#M;_Zd;Tf4z_RqF~tK1a_hVa#aX2OXCb?XmAck^Tyn%tV*o1|Q?S+`R?*
zEz<0+qPJm7x#6Xk(eCqhB^qIBmj1-k{WNEfSy`{4*+beR+qbp7wG-BQT#(e9YK=bg
zx6UM&-zle81TSPU7R3sbx_biNLGqF;j?ZA-wTdj>APEtBz;$8ps@e@5?NtX|8UYR7
zriaa<wR|nwW11)Z0AXLzkTlYE29@4^(ZQ^lHl&3DVJ>|SQjK&U!Rv+pl~9?Bgc#q@
z2OskMMzeb(L^~9A%xrNW7c?fMt?2t4U6Wh-Q{2Yb5peo!79`K>>qkUgm9Yv~!EZ!E
zfM@IX^k&@f+ei;jaD8cp?-KWqsCe7V(8EB4Z9|IzXH|j3GX8UnWLL&5ONY-Vf@G&W
z;dw!KVFyQ9LwY`hZllLT<{iutUI^Xtdiw?;?`^uqg)q~16Cu8RyqT&Yg0$^hX?cn!
z^*vs)826hW*-SjoPNI&na3!!x@th%Z<48)t@3;5YSIeAs%hHh?hDwO0q(Tl0agQnF
zr%Op?5Bj4JzrPCvs*iuo%17a1tcm7G0u$}#<CI?@QD*pEthnGyv*^ZzW08~QSDyR<
zB|qK0&!Y+~Dip)UX|r~TH8+_X$*(Jc_>~?a55lX4JU63-&5q|xsA<h)%&=pre!%2c
z$otV_d_mlhnWI2sk!e4+H?`!%xy9I?>Myxzs&oETCBlkOA##QG<|JL}eZWAF8MRBw
z^B(*B%_Vh3%qVHC4xXUD>XR#YkF;j~#pqlq(b!MHDZf{oQf+JqegA2#&*~NAaHt(=
zy~EUFA|`j}O{4MtjX($At^;bJ4|J=r5?&1>n@z<9G!;KDPrL4BvI39^;%c#$)jM#O
zrtxp;ZykQy6{FH2eF^dObcJ(Dn8?y6lWhl}v^*z!LZl3l6h?I-*Z8g%yr0S)rk8YV
zfX^rR4$#lkGkE2E!NNxwl5qE;{+9OcSRnUUaTLGkI_jX%rWvzw3<#R?Sy65`OMChy
z{0%i<mAu9sIhrn#1!m}UG4^QM;aYBj6#S0+XN18oS}GrpN}&1Msk^@z0t10%z)DkP
zl+dM3D#rK|tLIM8lMB`*>?_^2tQtm$v2(A5Qt-?xH@wG+AjeCrK9?PU_E6*LsqXJ^
zeUsyBg~7KY89$CVl$O>V3T@FmJH=@|x%vf$&LNWmrNF+-f-&T}xu+J=V~d1M19`qf
zhpjuQ6+&-}H(#IfgI66i4HX-xJu(Fxkyl(g$Dgkk)$*%XcjZHXjR+5bvaZV(PvYrh
zby;;pb(Hpy%{`|vS?h{gv^cA<dcL0ho#x!)!kPM#-&>;Z&)u71oqwF<b#pTyKAbB^
z<G!@Qrmfa^r7o*1vb2wywZa@Ov$flY>zsz=m;8LiTax2xusbAu1zR0+iY_8nR)kfi
zBPnB7{G8W50-Hr;CbW1@p_+m=f=DhZWVp#fI{Ujlt@7geZde;C^FFQYRyNbd%d*#@
zL4y#T)_>uYu96Tp#k(+zg_2pEprsMTC>3!Vb?s?a%5Zl5vc3_AOu5IEaQzKYGprdO
zuI4-YonX_I5YU=+t-d2?H45{(apR4;o}Oo`fpFhi*G7=b(==II`8&HCbynD*5UK;g
z;h>sFXtd;vu7y-vLU&Z9-|L|Hx&IdJ>tr7Fi9M0ch={R)u7KV<oYB_dtN7Gk22J^)
zkaWovTn{+8+V|TAyxjEug;TECiv^Mwq=0TvV9(OsQWWd9anL?H@<z71LYKf(t)lk;
z$NzlPa!U)-87+2NiT|4hz|*xIu;*4?K2P<%3fs+63nyo~=E82=<c4Q#Xzn3vbPLnm
zWLsDG6IXO_Q*W7K$B9|?Vj`&gsYmC$XS$TKm9|1lnIlS-m3AOiGmJ0NT)$(9t5;X8
zZ#<x~reR*lBHH|LBs`G}4JqnhGA45#_>u?KQZ)x;WORjS8yBcwY8<9z`4byh_X`0{
z_H=y%C8fP!uUynIY+0z#`T=@MYQr7js4DXsR}UfCLeiRUj#4(>F=BdgidGvP(Mm1I
zKaa>-2;I^)YqT<>akZ3X3~$+ICqAt!Fnog|G<naKqRx8^yDA0x${3yWgnB$&%adI^
zp4qCf*#Dwg?kI|r8|CN;(oM{Mt5j_@co7;Jwy$8?r-5_((E~J2|CNt;cy_jq1@ioO
zKXhdO1#@G(5CZD0L<ng56wiCW-cvN^;y^DU{;FbC;X-@RA-4f5It@WuVth3U^{Zlv
zhL+v5HQ<faP7$1E1QN^R+~QCsk{WTfN&zQ$@8k<Z>z<6K)Si{L_YqP%%7T6Y$=rOZ
zK*VfUs0@Wp8k}3YT*47k_hQ>CG0+`=17Bq*Yp!aA=ts@2B}U#gPbnI65F)5Tyj2<p
z7Dq5=kUL4Ay&7mgi`KDUjN!O^(Wr28v4?Bbl9ofP#e|Pjo%WgVM5m=;bCFn{T#d8Q
zL3D#&SAD<NW(tYb<gJ!Xk0;Sor9xr6LTi*e$JIKfy==gufBZ7mb|r6-P)3M|Z#mQG
zI#<AW@z${MVcLzvH04HQsYXJDQ{%OwkPYFqnp1SSxOZ~HFv4+RZKEdMBeN|#5pbEl
zu(r;Wk<ZrLXIdOUho5sLUUU;=D09<wsgObDYtvgN)gmWvwwuIgNJ54X4M1i5A%lSD
z%!vD6{OH?l0o2W8i(tvVDC0y?Ew7roAWvMKnk;7H9G>NuMROm~K$VQ$S!-ObwSK<|
zsSk)u06G6%QUT~+AcJ}QYD-d8kZok&a(Nt(4=C=nGBrg9%?@HhgU;UWD)g?BcP>kH
z@aUORsIJzNqn$pA-|k)y=fW0q(u9bG@mh-7WNx|1{R_&zf1vA#$#&H4>ltCh%)zoU
zbzSks?_COMoO^z1f~p<EN_VQXbh69jG#n!QXyleaQxTuuo49tT>@Vao2+KhWDc_yh
z!8tm?@PtPai+sX70`B~=P~gTD#luSsh9PDAAK!7Xo1<5P7n*g64?t_n7B(rQu+68G
z%F*eSb_?gBfCi3(JNN+Jp{2o!mnyC5zm-ZLQkz)p`;1n>RmIbki6GAUjA_-@5AMBf
zSd_Y71k`k7;F^NHs(F2*pXX@8(P7qQXn!J>x5APJQ)@;*KN%K$$}sgBN>w->Spx@N
zI=37f?!hj4LD=rN0F|v_f{agYWUIQbT&*g#yyN6_uP73tYiw-Xu(`z2OH*%;v<(?C
zYvnmrD@cmv4f-p$j;L+7(zwhMaGg2-QFyqVn$Mt#X?#ZMf_l^D^YYiPtL$(=#j--Q
z)fs4Ik|swgYigqd!~d}l4m9m5nxLJ+Wj=Ha84wn&kEn7c8k+OEes!H%cYRd?x37HA
z{wutE`GCS$qq#D4YV&!r1C1L$s_I5NVjN00S1bBWR*C#W*xE?~9ct>m>UQiqCyfa*
z04kuA7$w1&bz|Fbq-S6GxiAj5(QAN^Wq4eBty)C#iEHmfm$KdK_4we7wym=2KVzc-
zAj;);B`F7}{o3tD<Y74*H7(G4p?=?*&A0s|S~9lSfRU9DbacW`e4`GOGdo-@=dzvB
z!YYBwsfDcz&vh3*7p1~-!c3iV<3NqoftWMkVQ1a0o{(P13+CnSe7&F`NzI%7(!uXG
zST_y>QiLz900AABAycW2Y7za;K2+5E%ADC&5MuUCI{cyu<BS`l=Q)N!R`9OeD()3;
zVUEy3RT|2Cl8?2E=N$@)wMEiW@e*E}KVt1FwQ{Z^X+Rp~DC*BQUwyYedfED2=THin
z!#l92x3HNbYcK!327at;OhbdgOqkZkbaoWi{Id}0trrNt`HF|s<#+lKxAHKNd|Tbk
z<)=GUgz&Y|kp4*iY(9p~z!B%>2P?LD0z;`t?ZD|aV(Us-DsG92@FllQ>kuQuovus;
zHFkW2Iqd>ML{nQ}l>wNfkIJHxtlWZ8ym+U{)aTejoBcTxH?bmWf^x_5E|SBY?d7s~
zc->O}VhvgD*V-&bIddfE&5#f#&nL8@*JF_qDsNmEZP}r1zoD1PTsql$*?BWkAUTDg
zdyQG2U8UxkNNN~#<Xo4hg%)@P!EWV1N-XW1098TsdQ=wIbJ(z*0l$vKb}joJ6q#Pi
zJw29HH~#5()g#l=Ctcky@0>dqQ6yd8Yw_3>q-1R#LLkmfV4&*gaBji;K?zRxNRT?E
zuKaaUt)0}b3q^LWn{hZLvjI*RI4~*6$HaZ%tKdOGRoZoU?AII*3GEfWbWGhvH2v#J
z+xp}U&(?B2+^J^7LdnT@e|=8XxqDgX3Bxz4;>qnz#2RKuzrE!d4QPbS5@2j0e^-mR
zo2e5UkKanWKm}xQqy{Tt)SVYZ<Ji#a1evQ=U3CkbHg}XS(5T|jgWhP|$w>OSEfI^-
ztgr?R$8`Co6(A0Cyqs|4OXAU7ah;HiHg&!>%cHJ4e)!?sle6a*kdToCtX;*uIyA8&
z285-B?yXwdh)P}5-qw~x_H|!Tnn{h>-H)0-biwIb`y#@o>AXp&yIf=M%FMx`G>M#N
zxTJU*qOP33TK??{S`7aw%%{)0^M;pQMNNeK(y;9pBN5-o+j5F=t9y^qLK8{@K-9pA
z%3yK+ZJGK6@4!bz(@HkkiMT@+Kp!rV3AzmOV}KXu`(>a&^!*>=6cuEy-1*?VD7IHt
z63OROCC@l4Z1YaDIDt)mJQ$6ijorW1TONFyyZ3cp2F|o!ll);*h!)yWeyCY)c9Vvm
zr_qtL=njb%;k9PD^Wn*<@}UsqqXM51jE$3WewyY%{w?L>i>81{*o?x>tuk6|4E!*^
z)BNw%mxe8luBiom6IXa?SKMw(@{fotXP#IxY+*XkYN2O1lG=KBs+q-D>h_`KW$VFy
zQxEH~PkfDCKqmJaxP_%H-C?toZW)r%nfgXm!KU)g5<y2VBfZb!4X3fTBu#fSVVd+;
zMeIcl%Q$)}bEmAkw=2gW1&uDP@*bFDQFI5M?H5)JV|&1tKMC|lR&PcEM_56eowGTW
z`6e0NfGED*m@mDcqSCW2M7i8dA~^-6_O!IL$jQjuwzaj@ge_+_@_F8jfrzRbRa1=0
z2#4#}KR2^RYXkE+;UDPHtW@&i*Tgd@c!O5(e9biZobHZ#>__=Tnh$K)D;oGcf9><$
z$we33n+P%qZ!GDp6=hn<rTlWp>h3EaK0>G8eYb4~E+Aci!(ZVXk6aHMge`(?h3=#k
zz5$`R8TIqDlZIM%9q<)+ufPdAY@9<uEm?P<(l%LjIww(--~YSzR<Cwl?QN0gVbBwl
z@R_F~-YIExm}DM9D#D}(e{*W98{N`B$Jr1oEFhvln=!?%ONZ@<y6vmcWa&#ON$j`0
zF>`|_^cL1Il^hOQW3O8FSv#tEfh!ldCvxv&yJqf%6bIYtiZJE#tSN-tn{OjoaZDF)
z)tTx!L6*X4N_JHrYl*}XK54im>!fUJUwOq7YpvHd@GckQHCOUdbZdNAlt0Z1E24~g
zjlM7Ez^4>wwNtL(d_DbXZFG24adWbgx08O-!hjyv`bh#^TIDFF+{RBgBwhA6E5+SI
zEl7O5v408{I`Zs|DSHIy3L*c|RK%~&G$*yxJjowkGY9y#v7!c+DV5Ut!<SB1DF^4K
zmSFOgj+yjLQd;Il{c+yk$?!hflhq=K&di7krAfA6s|N=arNraTsQXqsg-)CY%OATd
zaVG`_JDGm~(g&nVm`^0bcvC3$>g(IQ2Ysipw}-O7!|9Qqrps~XT3}9JjGknT%UUX0
z={TY3OS%N`)*`C%ckL@nkkGIBzy_N~xy;SUlM9+*hMwV#)>aO6fOwXe`!y6A)Qx6E
zskO>|2lhPoqoNL4!m8Zr{ATW8Z*QB_<0b^yJIVT=Bq;G4f4p`SV|U%6DI0Tlh3<t|
zZSYA<6~<?HU}};jox$0iVWkE#`=sXExBR^LHEd+1W>S>Iaw#+%k-+-Q9=4NeaEKjf
z?~mhJvd7s%ssU{e4<gEtbwLfc`^ZtP!?e#ZepYrM$OWW4Yt+EKBMp`lISVD*j{`MV
z8Z`y7{XXy29hZ89Z#Z>|NhS1D=0d$(2~!Q7$*&ReYr~%%bkO0j6stbFRFsznf3PVD
zCtJOMHFb7g*_`^a3DlJ)Oj-cj{wwH<>1%vU^|||A<DYZG))w%+j3=darEce*uWy{d
zlUZx+V87l`is?Z4d%yq1)?0@~*>&y164FR_hae~=4FgCwNGM2$bc4ju9g>RDt#nIw
zm&AZ{H-j`o*YLaWe!k~@z2EOR=HHpw*R}Ur>s;qL*Iwm2B=i3W<p|$~c!KJ%niDL(
z=%SpEahqEnt#s^6m8RM^AIp4Y(|wD809_)O86O|NhM4{QqV`QD`opxo`|lnS!&|@e
z5hT`+FYLO0CEHs%tK{U+n{!1bxr_)#frm_pUE0$K%(<Skng@QQ6_jM?crg&sBwSTh
zH8KQ;-t7{1(uzN=L0onj@j6f2bbI4E>)Mv$xwC|+s;Ua|I*+1>hBpkQ3zLX=ol9LD
zEQ$$>c%Hs0H)y%MdqTm71>8~}0!+W-I7!w9X5O)ht=*VbjGY1<0-gQ{NX~UlCOsI<
z9>+PFIjPa3VnB39?P~-s?rQeBVD}q$4%+|=GCn7!!xJ7|{1U;4uo22T=Fr1_34+|O
zzzz#O+plkzy(8r;;P=EC$~3T?pCG=*;On`_-vF~kiMSDGH`ut6P&2h4b(XDN4k$M}
zQV9FvdY=9Euid8{%L<?>DUHhhR*FvMj&1YP3>UNL7`AX=3ez+4-!dg$dB45BV6`YF
zX8>j&mu(uLSkXm+H7A_V+Mcj@r(EM~HXx*Jm4xLNeTV6V1W)4~;WPv?^i7$r<_wUE
z)QWkYJIkcjDvxFPvT5s*iWkO-vyKPrWutSs-wMKRjnrUzmKf0FV#lWu8(?sr_a>Mg
zzkYdh7HK&rnu-9=dEz(U6EDQ2^2AiU(B1sR99a#QgA@~vm=}Fl{o#9f8<|fbZ^C`Z
z{e?xDD^2^<htjy8NQRxsB--zfHcLxRl<HEM_X@r4{~k9$6sP#k@RMvtKKzdAjYFp+
zbc%h5avTraTKAQq?2`z&N7(1Olen)+3bEsN+$^UmF+-Ko1Bg(ctT`VsNVN_K+c_A3
zGxRxlg7LRgNF@ym2PW^WajoB(9`%}fT;8txs98zCK&lw=P#oW&ogN5Uj6$z#`TR_)
z88=fbMTA?-nQ<N@FOcXJZGyPsG8Uh!ZfC<i<B+xsA#<|^?%7UTrfUf!1l?7=6_yr_
zfzxw_Sv=Mj&HJ8SdB%-A+U|nd{9-+M?5LrJ%CvDZC_^H`vx}sQfv2e)4gyohZol_i
zsE0n`uM0^MH6=vB`5mC5KiB@LiOFXEU03&ObmcOd#Gkx$U&Akb8?r#q&v*eht*Dij
z)~Y-%6``Lph~Jy6-oUkkn#wjgD=MVB+(x$fjq!;OW<t2(t!RGf7a3cU;F0AU8#KCU
zUZ6?-iQh7_W>N<j?zW(KcWNv16nnr$BHfz^ws6RQK)q@aES2BByQROkP)nr293y^1
z9BpKug<Tof6e_J}H^m+DCVk6sM;LGXEmd!&uqy8H+6AO&7<l?XTC|5xL4l?=7!Jhh
z72t~CW`Al?Z-KqNJrD5=!$x9azK`OCnmK?`CkeVRdHeWW6)uWF>D(iU**xen{Zf0-
zZ$R^Yz>EoxcffUcp1x9o6w(HSdk#tqHa0d;`!M<2nHg>0QxAFL<y86IG`k-z<25!~
zw@|VBf#vE2I<Nt?{432hvmx8!4Vw2Kzsgwh8k3cEOA)bpTz!|N<5|L~LvmO%e+Ad;
ztL?d4F&dd7x(^1C%o;BoyPzpQ*U>Kg^=;M1or75EcgPmD9dMP_;|MvlY&ndE+9y~_
zN=8;Tk&V%*S#}Wi?U`)67w=~oAYxA;x>4>Og-4K2P!vmkFvG0^3uKmS-jy_P-#0|H
z$DjbD`XU)*@$0yD+Ra<Ij3Px~ru}td^a9bVX9*J78zZTOEH7*({C(o{ET@Z~H@Z2X
zaL+CSzsm#>9@4{xY;?9E<=Uz*!P3~KSKQs1dtD2$L$n{=3E6S&9uWmwIA$ughUk|`
z8aw1YZm=RyT5!ULmoKT#-;lvT@Io4uJwyNO7M(0NSJP*k_`Y+ll}b;5JMu|&wcGRD
zsCaBA$<wdT{WW}oaAY%}pP;wr1|jRd?Sgx=HKg%<7a=b5G6nkM_`N6!mI~4fwZ&$!
z?=`pEn^hQ2(`u0qaA;^*-Am7KHU)J>#p^s7uu?>*)~|U3TJys1o1KCVw81?TYGjWg
zX77SGz!@9yP~zwtlY{IqM==jvmpoO8#PibEgFlfmtj^n_<%+O<T!bea7AYk2N;^C+
z=Iht)35_AXHzjIzf^=Y&f_PX0bZ@h-y?s4NEDu|WNWxO5uKSCK1@7lhcYzZFE#qTT
zOK2(Au3R6RWb5zYn^~%ZE(figt0+(Em8Bt1u#Ii3(Abo@f)VMyr(kSvQ?z&g!moAR
z&2dWQ+nyODi?$|{WO^o%QRU-&5go9a;V4#(&z+AgllUa2qTCcogMq3)ckSY?9!2UU
z8|m!ax2~jjGrQ}9i^6abhM!?DJ*1S-$uXzB_d`i@1iV<^Z!zCsD9R2AI8zz_{^tb<
zW~;PTgZRtF@v5F&uWzq*C0*<jesHmm)|tv1HTgDFT)9a=ILcj&9+n`&WeH;~5&1xn
zNS#N&@w@HQmpA?Ak!S-h|FJMyR#qbQj4HJ`C35a$y(Txi{`W5puD8P9G8wtLx*D6B
zb}70t6#_%$vvYHMVkIEYKfY_SUu;~xy*jxBa#7K%tfm(m;H3&vUVi?*nM%{+qtz~Y
z*^YP+GuYr)x5!CfN5gQ|(*l$LseqmRP?NsJn-IlKRi-D<x>#v$8x{pN$gJnu7&UOe
zEM3&sm*K%CmK5)D%1kjo>`jw&F{^eDnMGE39=cJsx;-%nAgORT(dO}O+qwecnIaQ}
zVd6Q&rdTq=qKDzx%A?lb#yCi9=+pTTS!UMQVF{(9;8%W8NiWf>5;!{N?u4B-t{*R;
zHAhK$G3UT<cp>r`epg?bKo-u7TNr#J2Z-Eu=od{j;*bW4)vuI6eei=M-V(v6>h~3v
zVko-yVp0n?cE0Kv7NP5nH#`D@NfL^z{;!JsouY*-w-yjuLUDR7-;GxqEh^Xw`r=YA
zO*<}5BPpUz4;h^3<vW5$4*BER#Be{hlR9{SGkf7d#aw<%0$7xzcx)+?AzusGd7erb
zWLT2V<s=Ti_2`jq&I}bP2SMTX@55Rn7aRpUX+)=|vzmhFIP8PfMR+J`A6YPT4VqoM
zeTITRpJ7rjip8qg?Y@d{f~u2hJKcE-Pm~&?i{u7os%PHmMr<~676UUfZoGrYieuNp
zwFs%ZePS=G-Jc5aeTD`LvABcbZ$py0g=gyA2+7~sxcDTYrvavu+pQh!a(9!Gy!g87
zHNrP@q{`ztJ1L81KlB{}80dHsiSnHo2Da@f?bbBObYOBilFo;ns8$A9qqQ_L?P_D}
z+H|2nm)4B>jT$NfFM(IdO<Q1ba0V68nt?R!vk{WIgUqhgZxj_C$BbAMzliK~gxaTm
z;$o0dbd(`f){^O{%=+6n3Enxut>#_FoY&OTFkoSA_u}5;(Jg3s2m!ANYWHPKWBpz?
zC@rhN(q1zgN@Ro~>vwtNH^x=IyZSKnI=_K?&qhbwu<*>?ZfYXHD!SKl+=eo*6ohqQ
zvszDcLhR%q>Oh=y3-|<FWbucOlyq+AfD4~ASU~|JPbs-Gc4_3(meR-F?d`00Rpz8G
z-=m4038Zc<baf%+t7i6Qh<I^Yj8GbUnV*}JU^Rnr=n`{Z9c*j_1G(eLc)Q=8vAZwW
z-ozyEZK=+2CI{>OT#aNZpWP*7s@yO$Q{906(+0KhjUf^el2QgJIdL_lGzfT-4X}KC
z5_N=d;#PJco|h#{V68M#)XYYVEQi9&Gqc$N7dJhvI@hq|D7I4C(3m$qr>RwlVTViI
z-@d;N7K?l}F=*M{8nHPosG@Yy_giFrwcSovGDm7(<&8!Lb6(hbl8r2>;_T@ZqUAhK
z$5HOC6AUhb{Cz{v!OBUlUuk7zkReTs56|@^3dG?&?D83EEq^uW!X$_22p?6du27SB
zHYszrL{I@eu+tN2Arzr1&0^sf@0+D)SYBD4h60u;amy8DWrolYe!~_)RIpS;vUMmD
zyo(1%Q^uC;K0%Xe`w8DKoEhXoud6WeSH@$2G}xrv_%OZiW)KyLY3e2T;kUd1U2E_a
zy#|v?;CnmmPZ^iEQ^m%_)Q%djh3q~r(ZTL|;$SFs(zXhM=}BTm=G|59uQGJMcbr$n
z4D4$Zt%$2i+~T3-FAn3f@2hVuKN2nEDTKjp_YLI+E~zR9tm?fEsrkxNqNi$<Xu)ES
z#oB^nP~r{opPde=6+5AxQa7PJ$5{&1(iXaCy2APV^8Q8rqDk-u;C6o+X1Ls~rW)x9
zLqE2b+GY(H)Y|dmQ`CEvdAZMi*>}x;4n1&XdePfZVN?e3xlfM$d4e2#S)c9B?P8E-
zgO*z`>-#K$N-%%|FBbRnd~6>ry9jmBkR|AeXcUXcuDGr?wuz7Khx9g**pmgV%EsKa
zYll`Eh>@ao!KE)K;B1|P9yennR=Ab9au~Q{ZC@KlMuAT^0)_GIV#R6(PR^yB&ojv5
zA2QmWVrWjb*cVZb9@H5z=6rLv(C-S|A2NQ2>JEVOeK=C%K+F>nIvaw;!^v$7qP$2K
z^*4F@yChlB>GJ35D&BVH+_&$i%^S+dta%(|V%6BSTMtpnLYi0MUTbyg)8?O{|CkH1
zxTYrS7m&qTTB+Iy<4b}i!5@jy&m0!&x%Bk(R@T>pN=iy3LSE|f-wwnx&(t~4aD>km
zoKOY~zxQnOy~D-DJsLY}JsCU!CheY#x5`RM5t8ve^#aCxQHyv6?@pJS0#n0D1srL`
z)<B1~C8a=R>cspOXq3KkS9~y&fq0_W(SpdN`8Fm(dTg}s3KM$*`1AJ5k{=Ex`Z5!{
zhn{)Zl7%q6%}s<Jm)}-2$McEtX36EnGIc>$l{7~zf8DCli4I^26JPj8Wa-p`4*So2
z@_!DT)RSCr7VDq$+>+B%@udEscGvjW$gUX<pd+8MbmQ)kR3)4<PnE1sP(y*8IH>AU
zZ|AZFKhuYzCzWzo@z*1lQ+5PX>@=a*2@20_XEYB;a8s@>_{7*DZ_otAh-$E^@?{fK
zW=uO{s?gYqa0Wg~zm5~`<>7yIo&qJ_7U&_;($K!ya~*eB0tHi{@|&Jyw;UPSthCYy
zCW{p%UN|`}%JEeE3VlTzEM6L;?Y7Azam6xo^3w&qL>H^8wIXg|H^V2tVbP9`#JSBc
z0Qqexs_BVx=7L&^+1DZ#$i0;MoWnxfraKy1L^oM%m3D&%wPy{06h#DsZHvrnw<=#F
zCMQrw+3jRo^>vW)x<7Z*k7-|@SjLz&ACP=-v%n*l_<2!!V4cX+1Xm`Y;g9E$R@pP3
z@1?}JxngH=+C&|v;;g~Px7%bB{FE{*q}MvnxeDw$^Tf+hDihe4ye{bungaWJ9iFpc
zUD%h%-V-Op{W$lm-4=4dL0qOWTsWa!I1>!<k>xX8KPVOOydaiXTE^MJ@xohazR?qy
z<`0P4jV+d^JlgL`z2!N*+H81T^>j-1)<-NU&Kb$3%?jJc4Z?)mRp3T3B<T5=uG}T>
zKPO(kVc?|Bk6tjnczEF)N%EW1`5w6B-9ez}$gpwQbBKXVHn|sAW@yq}pHz2RngAL=
z$~A~B%pOe7nfu}Z2ma(Q)FhKpg*vLl%Ar$@=G*|%I(><-l&?yo*X)7U2JnFJSRxF9
zv5Ujyz6#^6O9&KA$H&L#g+ViExnUbSEC2`#BQlXBOif}ascxcNT%TyDAbAN8yh|lY
zfH0uQ&d$D#L<9qI3D&%!Mt9I-nkEK9Dz)B$jRT`%*hZ~SDJf4|BUhkYVCo6tjP4ST
z?pCxAzawx-$`l?i)=Zm*)rO$E5~SSJ8HsBKi87)Si^`&`FZzoFb+CD1+z~6XdzoG5
zwhAw;364+qT)`#?+1|G37b_FQG*iE$z;l+{0*x_myJia)5yQuSD7|jFV*xxLKDMuP
zb&^Ln8RS#vGy}c3sJ>%_Owye7pGb8VmKmQcjBqAkWOLR^Hz6R66?<_fu{P}HPru)5
zqB-htfUm<q2);LA9TJHx^?3;U<ZP8kLn7T~#Lh!{et78{(FDT19UXG<4jkiLvSIRr
z01t5Y_6-`2SS)Y6ZpXrFlF+HMQNL9gk6vj<AGMDC!X@O@(-?V614SH(T9tfBoRY0F
zpW4uy{0+hR>2JG=W7)Nzn^1UY)su1-3AOYhusJ+h66xP4XXLluQE?UJA2mB;+fz&#
z--g32)%(cjKJVo^&4lw+Dq(su@m1LDMNu<s83m-Gs$4PBonHCHsYlfeiSa)q<~h{h
zk+U=Tx=M#(Gy!c($!A=zs^DE*?=4Yh$SpgH7L9D{y^-)7;H{{a1t17k$EP<)YWlII
zR(jYkMPy5SZ|giDsog^Y!950j?9<r=78!THzR1-H2|?yUWN#I<SfykPL*_euE9%C=
z)FFr}>m+N0)Av7S12Jql7!apNUdZCeV)oAx?kULDdo0P!SoFL2Hjpn5la8iECv9Fk
zHHea*rw1e9P}A4O`F!R1LnVm9ZmCQ%o7;I+Ic%4z5eQ_lrMSH)p5-1Umabb@$rbsR
zRq|T%I!n~8a&tMX%cnIbhQ~SoD-kCJj|88DV3HWw+NM3%OqQ}3uUKwy38Q&qKsj@M
zdwV<D;9}v6ah7JsXFG!n4EAAl_A;Y`knIIrpFkm8Hd7@Fi3r-(Qza3meKD&*h3hg)
zWB@=Hx$-9FF9I1jjQ1C)3+&1se|iPf&!1P5@*tFjEjnFQ;vj0!<0gI*adke2YRbt)
z%FGb>EnwCMf9snvp8B$6sXmC7VmoL4iPF_GrthH1H{4U~`t)Q|kOF)VM6`%STat&6
zt%Q2!8P#>3>W+I$&vX;O62Ij@k4Nc_lgRGSRpK;KF$PKKo$S^r7;~eY(r<|92kc<o
zaG}T60ts#AjCCTgYvrB5bvuc1gG~-IE!-73(Bxokt!Fri>j&@9#v$;owzE|7)n+!=
zBeg$64PWehhN}Jwbe#1ep3}9FVAN<Iog*hU4;}qg9<UTyyYlu|*xm2G%?1o{5{vdF
z?T)*19$Kz~0C;5Gx~C?t$uE~~Y_9<(QXEOpYOA~Gb#2j;<Y!(#KNS8V-0$V+m44$k
zU(d{6>Hbbt+a~gIx6ORsAgK+?Sr#TD)juxR-5epkS1ea{4-VILKQ|sBW!C;ZNK5$q
zbvXo!5*^Fqo&pZUYnaF*)PxHOY!SDz;L#sW-QV@8(b!Fb-^;7lY+M=2sSI}KGT3h)
zPEhhOH8vlu-H-;Ly|k0mp5YZQK49Ro?;y4nTtzC6<6mgA8kl-{zwif6G;UnQpT71;
z*AG~VNr-d4==YqOG`6!tp`vmTP}W0^U1`U;ZUO*NiJaboAhD~m*=@herv-e;y0i^z
zbxV7(5rc#%FfnplJLXK4olv9WjoEH=)voS$yT?$g)YU#rhq5P6mwU3$zP(<Sh-{)+
zjcN1MRnluCAfdUTf5wYAR^H%y>&io~j<|Za!uWRNccdq=Lil47(pt*MyN0_<=8Y>|
zw^)*3%%<KfQ3_tjVwZLDbdUd2T_+8qcimCaJva~4)t5*R<QhRs)xN9!obC0ZW};yR
z-A&tJ!(55kqmz{A(VSh*sN`Lgy7dc3wrwK!^aKYxroXa>eiuISH09z9hO*@MW;r+A
z5d@hcYap?E_(hu&Fi3l5cGic}N0?%9B+r*4>c?j&R&DLo{(PMpKo2kMvk+p`H#QPq
zsxSiCX(Bso!LQC$s5=^ad}CHj2tIxGBm59{TZ%fV@=5|uzjdKKkPlj4c}8I0nT7y(
zfa)gJzW3)OH<!64PPO%0Oqs?M+#hOUDMA%i3&f_=_I;C<d_SLgiS>Mf7M(ik&HW<b
zQ>cxpM8k+DcO>VdR&=-R2yh8o^*wmxMl<K%6Um(8Fr8OmZ;U0$AW6CtuBQAf%=KhR
z+X>Fvxpdf61bF>}<>PQ0er-$iD?CQ$c%ki=Zme$)76XEyi>topkKCyA!a~^BN2^RF
zwaItI`$myb<`!z6PRK;p237u^T3o=pc?cghKukVH^Q|Z0_L}yODrFcvE2qy!MmZDi
z+MJON-XtsShdF^W!h>hNUG~lrV|;o<PER&OIcIcv+v6x)OLIUHvof08GSg_vVy<)$
z%NJeT^~#XOoY*stbGFPZIDuiSonhyW%X#{~g~Fb6HXEfnS3<5D`*pFj7gq8yTY|lQ
zEL&Ku@nGwjqdqUeHx$9_+OO2#>A6m=`TF>UW4btap`LfuAd6`y%Of?VeH)zIq+%D7
zvU^K@EM0HJxVXdS1Rfx&Ft;dmxFsTRnvQc+d7%c70zhQKX)kKYRKLP<mn^NGC<OIb
zOycX67Tx@_n?L3<w;?zk8zw3m3T8-=RMkKZNZRd_#^0Xd>q4#zI+DM3+_;q8yqZTw
z20L{4C%lcT;Dt2oPBp7BM;X>q>c$@Stzw2b^_!9`)UtJcKW-UoZso<oJ~cMV!j6zb
zl4u~Ci_#C#wK}{=#6xduYT_((kUW?PUTDe2e|x5z1?e7eoUKQ(N3AoN4^Y-_F&1Tt
z`5h|b#uTU6{W?k5sQ+5>NPa-@93Z~VCCs9J5|j~889&?HNtSvNX}(ywJwX(lPsDel
za{LDoZqh@z4UHk6J2)YQ!{mErR*Dn$bLcHHkf6b>aRFZj{EKxze^y12n&b_^KWR3Q
zJrI4xpo7d3ZUM#BwP`d6UbCmCXA-x?lb0`FDx5hA@$wRx_C~Gd^3L<cLv5)}Ha0eH
zmBByNGq~~b@h{IHCqH*tH1Y`JF8)}GC~J2cMo8weT8SH3C?9rd)>FJ!lFtJ3YT1=a
zio43hk$CJD5liQ4{7p|nE9%P86)_pMEeC1wt+P^IA?gp#S@K(ACF}_Y7q23OE8KWh
zdpd0hriOCU!+5r0Y!NW^(UEO6gVkxac&)SSB~d3FG;si`7+U7VK$`L{TfA>6iPKEr
zx|VZoPQgeIg3gWOxiVI4yQ=+WLr~Zu00EWD^%ViBO=J~K)Nk_kALhz4{3Vcdey^Fy
z+JNLjgj3~`(E<&_sAMiYkrZ-gXtey)i1vpqz{+A9pMuNa1*#b?)6zR^d+)|jCy8b`
z!r#PiXRrFR2wbihA1HDNUVQ=iea8D}BfFKQIKKBO9PtyDQ14cOK^^-Jzx|`I>l$Ml
z8w7^3HonRl**@cMT&Cvy+8>LK)pHGED`zff8QmGZls?j^(4>Sd*;$Jl(uK;s2&!$x
z8?v)Cve81S<+U^F(7zYbc`5f^hqKBdV0DmxU0sTE%{lgt8+bk(E8}`^Z}zmEZ3#_f
zBojN0vRKCuXnY{Fgt5>Q1|pj$#_~^=BDhXC1AON*CGC2od6nh9=oKwAuWQWD6Q@R^
z%zr?YC;+MqAuUcu!;TZ&=7Z*rclECkbo0fv-Fq;N9YjkgXcD0dwFV1)m8Aq@ISJHa
zLDBwA?ql3FQrI_*j+S~fXO!08JY8K{Y541G!tEJkOir`ja++OOnTYW0a3kew3SPJ_
z_&jx|`SAPH8Ean$r&j@;<D97RnzQDI#F-B7>u+yewRMw$5)c7?ArqDjk5uMtnE(ZT
z_)Juq={**Bq*Ygj$NR9}*b$RJj%P;kT`w@^nJESp)o--y`#+@eCn!gy*BEV5MD8e8
zd8B!|tkFWC-Hhii5(9A#yr0usVwk>Vlz_qfQ`?{o|ELfW2el<U=U?_ls!S@4)r(G?
z2IhQ)B_?VG)O18*#&<t(Oe-BhTqfOUzEsXQI5^(-cNbTwurD<rzq1`8U}o5Lz%w9M
z<}qmXz7iMy3}u82GO;q|$ucl*5vx!cMmjK`iARP`jZT}uguK#q&Toh#f^jjBXSrV<
zF$~ujTWisb1j!mNB~TrCtVCy7aLM)8O}($&xSHQX&Ay<a?)mt*YjxoV`%ttiZG1Q_
zVMJAk@0pI}Tp?;NyH2QxR(boym{UpmFG`_>$^qqFqZNAog_zilx;JJ(uszrBTHW_~
z6lsAiGoR<i$u$}%#kc}Vl_*5jn4fdpo1-8|EbT@p->qLi3@}?yl^96p50Uo4GHfA1
zD6E|AlZNT-tK|bnn=E42A|WTWg}BYUw7dSvHOEq*Zc#sC+lA^+ms-OEe!qimRwdFU
z1neDc3Dp6E61-Q8#%uGqQ%|DDjF04omKzD6NCzuZ`)AuGbVJmIOBDpf8K+X0H)hl`
zk+f>^z5;&s1m-Hg!)n=fI)7^7U?e9U`URV?RAVU_&5z<O$|!fkBxRkrnUI|tIzu*3
zHUxoN?%(iNIJsG9Ka-vvuS*p)Iz6vKQ}O#;Zg;FPxdDcyY6(<YQ1wQ+cKq5WSzV0}
zUfIa}bhOpB`NMn%`iDoFV1Z=5mtI{8A=)0F033gV*UMb8IaMQ#S}_^#*4oU^P$kVi
z#zmkN6_cx3)n;azGen(k^YD)GrQny)yn>Fi27TF>zRxW;PRAX*X@UYsF_W(KeCpb~
zyD_|4htOFI#I+2u&a>U73dfPxAAoJHO+Xn<P`sL>#g(U>=JNmQBY8mmxfomcd`+SM
z8)(qyy~DZ-@ML}K86w?kb!xz4x!l!vPEaH1T`<s=+Fm;WJaOYQ5^%=X01dBc<BbBa
zcJmpfikH}`jms@b$=@|QG$6SR00vJ%KWg#`HLGTd%BiYCmaAttuQHO8Bl`R0d<m~P
z+HN~l^9?4D4u2#-ISiUt>ON@^#?pvUJ1jL{Wl=q(24+-mJh3|04%dc~?Hpax11e2#
za%}3{EGHYuQUv&9;uD6)@?4lt$+;+jA(x$@-wx{WVYsX1>)Ai=jV^rFGEi3+3SG4u
ztwpyQ%6g8o!osg!eIQaYF{h-*zjNH&L9ktHz);j`YB$@Ic(GWIk@{r6XTZzgNHyja
zh~Ug2(DCBjpyWe(*kc<llZzfqkF?Kho&?+`tGixU_V(;abtYuB`U0^xg=!%n@6FF-
zh^n#5+MQI;+c$$1>%VH~^X@e1;DsD2G={O#gU}AMMb^Cw?CYCDD?E=4KST;X_Fly4
z5N-EMPWz{X^qdXdZCD-Asi+mc8t2FR^={Y!9FZQC{=%&;eN#pQKfy_D_Ea%fU<Ou(
zWy1M)3t$cKdS|YW<9sV(q!!x>Wd4V8@#<D9PQH&l-H{a!{*U^@qnBv>_Ite;ZcFut
z71QGccpO!m;M-!(g+|w;n<tp{>pB7Y3(JUxL~yESX7NAbpheY|AP-0U)P;J#x=nV+
z#TFccfsp%91`~&s?GB=(wloo?#VCT-rEqV3x%p{${ReyDw~o^*w_hVGj`yTNzQh`@
zepLC0VVrf3#p_m1*`X6Rj)V;s^*AmzKA9JZSyebfD$5LCZ&gLi(eQS%<-Zx`X#d4#
zFW|IH^67ATa9B|EjSeA@TCD^^#ck)SP@Ye*2V+hzneo;Q?^9IXELbg|`E^rq&zr*!
z6aCw7!Ya+z>EWP~rNfve7Os$UwTR?OG>;D-g)J}}Y8PrMtkD-n^u+s7`!s%NvVq}Z
z-_7A4N0T%`;l7c<r|xp#;w81MkdQy5E>NnwNys`Xo@sKSn-*&_>N!}fr=)r-CzcpK
zbEzxf`yP8amSdrU{HCS39^MeAlTI8sU-!ghF;v=HH!;Wp_Y&kMHgeWPrgnrQ5GE<h
zXFM7D)X_=bU)m<YWb<5EFVhQSx|5oYRU|;Tmo!)gY{Ku3(`wY?{bIhB2#Sb^v6twR
z$oZ86<j`n34R_UU@Z~b3Aa<;Ie`Q|AmnQUaF!m1j=b{(kUgjG#>=u72;RNTKmFulZ
zT_+KDs~GQ_)dMogZ{^1KWj(hSscp_IQ#4|c?P-M@ig<sDJ0xKE`SQZqC&V_nGQNBt
zs{ez+T3TAv02rqCsYsJ`b!|<Z)k;qtKw4E{J4$ozhf5;vUP{#5@+05f4CFH6K^%3Q
z4cDxQv8D$dgNO7Z;Pg%w2!Vj>FcOJ(*_ukXWUwfQo{ZYFFKhWPHUu|!6>`5o9sZDx
z;eJ<&f?HaQ&2WHHhu@wad(;0RCx~HbFxNjDq3{CIFqbwoxfP6fR&5)9w8P(8mQc$F
z6chib0cg>3a$u7HB3-!xs*JbfP(kPEi3vj47|MZVO|~z&ARss{U$LyQy?EhVXJKg>
zUaDKS)^>k)B*rQaEIj}9v#$({kmrW1-$1J1JMLzOrS|g{<_hq|F>D}1W5(-R^q|)}
zwp(3=1z?w71F+<|p<D*R&iC)Iv`O>K`MOG%`+-2-nxW3gEe+9nsw?6m^{Kz8@K#Uo
z2qO%(Ip~th8s9WotQD4-X$a4=&Mw)wYH~ls#m5iKmJIWyjiREWayr>k_T9N`266$g
zO7?43S-A|YR!tdj#+Oq<VJJ>WPz#dv+-#z%HNVWRXjSE=4r0y^3~EUyiGM8(#KJ=4
zMI0*~kAjUcHSt4XU&eCQ1%*%VqxgFk8}9$jSQ@r~?g4c}#P9KZsDfs|t9I4ZjL)Ax
zw-xF<D+S#H3dm0h386sY%5<VYZFG7XvPhg7<GV9a=y82&6@Ys10JJrpefbF-s;?Yh
z)iT7?3M<U38F+dE5qTSia_EA<LE_rJOo({7-mg^uwaB!|tuul-NiBAEZH+-za`mLC
zU8F?Q4z%ZHe`U{`#feZQCDk+mt_!iPB#^tKW4rsZPjVR9)h0NRUEdK{hzA%<lw7P;
z4)8CL!070{k3`Qstd>gNac}SJz<#9Ih1pe^4JI^eTI7Jl{=H&m5uc!V-9(d>EWGVW
zKke+_V@({CHmTzD6DtQa$Z;&nM$^rx*Rko*zcHsx$9@iL*W2;}MZk{+>FKWrJ0Gdz
zxi2$(=^D!BMo~75ob&=Y@xCBH&rKswcyJ;Q+xL*y$;)qoovq1L4)vn5C1r^U1_Xc4
z)`{uNrHTXR+FH*p!I~`FyvlxC*qk_z4M>om*BOod;7#Il6}tYg??3l8G_G>)#b~gT
z9rJ1G5AtF+{m#vm>VK77{+zR`%j0#-{u3I%TP{D1nmEIZs+yVIsnS83@xIQvir-ta
zaxOr#fB`-<+~qtS;N8&q`T5_Qn-gDGq;CigxL|~+3rfJ6VYx4Vo=ik7<9$6sZ0%58
zq0;2Mpq5_kw%4jIHbtzI!w5>*=d#}?^H_)uFx;>SX1WjGwzz-wVdnxZ!Uy3HwL`$u
zkwoUg9#ezLZaaxzBD3M3p7a_CpBsL;aqP|dVBin`@{f75LNvJjWUF_GZUf^nCd@=*
z*PXUjbgIj3u(Drc>F>TJZQ0>bS&k0nC?1xdtr288Lk;e235ImNPIFuiL%&Nm&MU^Y
zBS1Y(swA-pY71g*IsMz0l^bM`@WO6y4%;ArL)b`!=Asi!VuT<nr|@)yVpALeq6K<s
zfd^<oh>`0I2uU^-&AvcshUdj_DF{A(C1~uFQhc(wv(IJc@Q6D1mV)JKerrpWvE>#|
zl%HdDo{q|>Xd=|=ZYjx~6IYz${@Hh*<A0mut%kfeesoQIW0w?NP-pei*4f`U_pwu3
zZE>g9%nNN^R3|d7Aq_FaN_$Ply=6CO9%|QfO8+Y*_^HJKnN5K%``*}<NtwYGmX@di
zaMb_c-++RHY2v{9+ie$JUEONy$&ZHXx7TO8{Xc(R7a#*p1ePX|tr-&sD)%n5hJl{m
zkt_&SQBmz|OXk^yCTNHp9nC^T-mCha5FBJIM+TJI(rM{r?bovj5Zoet#<bE+dpN!5
z11CR8{u?#gj+&}b(;MbqB<$p@))O3gU6&a(Nqqi%j&tcr-65Bs5?9qI>dmHt>}|O7
zf1YBw#VhRVbFD3fH%#s}69oZTSy{KrlM+BZ+|)G4pvBV|xKf*DIF3$|(|m{&m>wIM
z*xeUPBWq+tYtZI99J!+^Vq{?l8$1Eh8(Jo&ya`xZ`f@X@S+~xf5d!dJxoLk+ul2x5
zTimS>mF$$V3|lTThN-NQ;K>fdw>cP;10;{tGgr81Og}Eemd`S?^EK*Hy{uT_FW;oM
z0iL=LsIem7`$8{Qz0Y-Ux@*#Z*cSJNGQ{rWrb939@%+?!1^fqwQ|{j&*ZT~XCgR}+
zOs}6NhJ0$;+S(ETZfgddJzX2fLOm_wmRU8!n}>yk#p4S0v@K6C^&>pd(6{43NA7nb
z4O_m4lK{N<{i_V_0V*P*H>_azxT=`(?_aqM^Y6c{&xW5b``wHD5qt`UNEBiKdbBHb
zAh-BcoIg|Jf%c-C-ZIs_J;zIo@Yex@ylU@~8H1W+9{M0tSH+GV4-hJ>w4(mKp&3^w
zH;LF#>#9fURI)=YH!dA~G>X?Ql#4v*HN0k=4xEn^RYK`<zWg7f;yzetKoS;i(gTm=
zi5LRYtKsHPLzN>&WE^E>WltC??+@?c9Deb7z;4OMGp#lqwyukv6n@#FyEgQ@3jt~d
z5`~&u2Tg$R6%8GoB_S9B0r>xZ#j7;Cm*B-VKfeci3{hA4^NgDtSG!s>b>2L-JRxxu
zeBJfykVr1rt)HB7bZ1_&j}d)B*N@+5C5^a1B3<zM;k5rrzMVfo-z7U5io_HTBZd>z
zl5W9sv};7q-XWg9AVcJiU>c&p?);^(8vf$%h?6VPe{y;0QEfHOr1jm}+8U;jl{h)E
zW_x!EM9FV}w$RbdZ7ct6oBJU(9Jn$b>Y(!~Llux}(8wDsRiGa2g&;^ub}jf+@s9g=
zdta*ke!2;8xujyg-Uob}&Vo!TY1&10350+A4eK9&Gx-^6JA9JqWCeN2^YW_%Eq8EN
zoX?T`^O>^I<~tlj`;6{q`Q*5Y)oR6ESbNP^ghlEq*nguDy^SmPwvOGb=j5sKS#-Yw
z?aI@S;Cpko!hy{kYpEkOw0JgMwTt{S8_B`J|H3D%!T%rtU}*WKf(?^)vJyZkJS1in
zED#!yhyPTm?ukZ1mEChf41*0~rk*ySR8aAI*Urw)<zjzj#s5Lo!T<$siYb8PeYU_C
z)l#P*HM)XrUarTA!T34c<sJY+5$*#(cqp`)-^IK>#3cPSM~r`vA!onmA5i9gv_0z=
zmv*KVa6Ws5$wJmf&p3*z$aL!8ppFtzD>$dR5P`XR|6=mE;_t&t1BR32+=+0NU~8p5
zCXd^mcvarRzj}XK2e{UWp=Dg+wb(ZrH=XJ%A=-mjrLqpevPWVH`l<361pg5#sHqj=
z!qU(Wd~VK<O%fwC`COZllgZrnX4I?)2J@^8tIV;Ll$BkiOA``^+4UQP0o=Rk0GHmp
z8cyXO14_6HKDs(OYXBE>Io$^T+V<O`Bkyx;bo8*kYDQ0IXQ0@$ZHk90a3ld29P%F*
zoF-zc>U~amlNc?n?4yi^OuwBpEjul5KjXzqc+r_b$H`8WUG##T4DBNrp{-pmP3Q*=
z0m_Hq+yLTWMD(bAFXN@`J~Z%&1>Mav0C*GZJe(iQKQ)S2&^?X%()acLqKE=x+Mv)-
zTpbzLQL9^&y++Ewrfdjq`{WjGE1w1Zv-771s50wA=<Z6?bC0J&=e+IsN*2ku-Nasv
z?*96hjw2Xkfs>gD0wV%OZIH&D%o;y13RJX#krYSHE#Hw*P+%H0RccVdoLayKzb@1S
zcqngqFf|d;V`k?31sB?{3S907dd=XIJSm***~Trv0p6}ORn=^^G&d`_swiUo0Ubnt
z-1ZJ2vbw%)3r9Qe3S6Z!{?4*S^Gk7~k+ZTeEN}lN3o?pM%4IJk6P+3rfP|W@KWJXT
z#T~52x@Fds@Xi!V`vbW_WgDSQ%W2Nv@wa*7YP`;mmha^wMH%-k8y8+|1jZC0&L2gQ
zy(%rEHrpOiq>#z2V+~HrQQB&UMaoIGsO-3w@?oa4F|QFk51D&RmfW--=>S^!i>4;C
z#kObCdWw(Ep^^N`eAf?>Awuy`#~(woW=fyE-fC=YZ20`PP}5|(O#fE%IOO>0=9Q}0
zUGQpGnB)s$Xa>@`1cGj6dc@IM`-qmOr;yNx?YJBLq<V8_Q98P8DQH!7+(UNqhVCKd
zD9Qm@$PZr<#oiqn|Nf3pU{~btKWU4N5KPbIUQWMyF#A1DuEFtwjs9RMVzCabTZgme
zFlwyKVukFA!5xlaU&r|15D6ZP@K1VW54&yJ%YD-sNNu!PO;=!3_Sjg(j`-upl3{ZC
z$5H!fT;9j%dKfp<svpy~T0DU7{x2z9zsva}p{GwDE2r`e6BXHZSAYFVG*zY_`2afa
zWknTaWKh~_`BUK{7L5Ei%f5Hl#|+JpDYdtXKV96OJd6-mozAH8<3scVV*PFZ?OGJ^
z{n@l(rTwCi@2TfV?djQBrQ>R+N#@{>z>WV2b8j{U6|J`p!y^>Ce}6;eGV`Djm?4#9
zf_uqOh>|0QZ(dh?*!G8O@Ei4oa9)aCJsvP)9C`P*h2(>v@n?qJMW3C{H}Hl?XK}D?
zm9yVv@!0^fe$2>5m2GY-w%QEL-k@$jr<w-aZb87X{+A+FCWAX^wAJq(j>^!J{EGkO
z%T8brIxY>({Q&BuZMwsh{q^Z@PCmX7BIpa-pD+Su74Hw&#~dsWGTUlU>RZu6CmU<)
z9NAcEG#nfb^=oMR2o6PIn^6ZMym`|$$R{5Kn|$Sbe?D_T1}y%+T*glrNZ5}~@J=k;
z_j4$!I9I*nl~AqSa!~Gb{tmOVCnd}7)O`-Ys|J@g!Fh0k2r@tV8myj&l}n`mPaI5y
zdc!3!v{Fq!|2pOrAWj6e)C0F6H}RFv#ngC>tZtuiE@1nFjDCR?{>|Av1CMxI98kqj
z37-eFkD#aa`uzOD;&HTs;Cr=60?&3;nW;WhVz1)u1hAait6wia4arnkn3-)ZZ=!lz
zfk)~+j_EnBPpHM>f7=pXh2t?eUct=ZUKJ#dom<7c=xAwa{S&vQrlx30Tt-BJxAPJ3
zt0xS<+6W)OoWdKle{g5W1|ZQJjz{$4SpUoatHpvi7_H0xUa<gpgj(u;o#x&@HI+h1
zNl7%WUC<aYLAh@!PnqJw;Sv><u$xr6kn1Jh+|~RKNL4L6JG;mE-YhfC2S04sZQZhO
zSF6vBM}WbMBJvAc{SSQD!trZB73wiOgMevdHWKM%Yq)E^&f(-xq4a;*ryL*~{%dhp
zCNRC>zwKtg1;vYWIQR_6_C1nIb93JmNO1rhb=A3Z17$P?|CX#?)$dWDS>a-u7DDy_
z^ngIrQI1gl`q{^`JC~6FDSC0BaRCs<ngE?Z^!Mx&fb<AJNdNfGhlFj&JzQ}>%4kRt
zSt?P>fbQ8Un~C9l%omB6Y=OV6Umcv00vN(mi&dwgVhL;OcOjEohqxz2|H_;&fU~<7
zz(Wx*oJVf~tFxQ0y_K^`R_cvyG!INg-)uHENkBK9Dg!jI4>dZV*+Q(b7wnssmgezp
zSf;XSD2WRRP;{8W&8-8dF4BeFIRPv@QEo`1ko!5a@y>KP^G;t^H<hMF6lk#Y#kgGa
zzJ~!k_<w;d*(UhcIKM!Rk01&Tb%ZFA%okOZn4TFyVaJI>G84sy5!SyB`RAV}8~IiO
zEne86I28I7c?oao=RoFD#FUMxfl2?yJS8AVK<V!AhQs^!j3ep7VXnJV#=v^FN3)T{
zSX1TA5&&&(wqcuZl86_dn287{XI$b^k59$$d8G?f#dm@~GBy^+7hsldhbK^O;I@sf
zetv#wATWMeSs5wNk8=MKf#Qu}xq%3e<>;fBn3(O^D&{RnCXTziJG>tF*>pb_!~X!l
zjor^sR{J(|Ik{NLg;Y{Nq${nbL%GJi_DMU7Ew=z5f8bKNohf56ql6?5=BXyqk|-xA
zK^3=3$n^h1{TQZ#?ki|w!OOACufD#iV9PyvIE(=60BAXPnXALf^z<HH2+w!U(rHxo
zzCgUUKmSV26hacAU}O5LX+uA0b91IPU$DA5K0X1#)%Wk;kA5Vfp8&|`>tz7n&5QU=
zL10dnm|}D3k1fCZ8=8B1aUgc7YiJyA3=kC5-?y7DXQpHF@!mjyxyr!qGu+FzVf+ID
z<2X1VZ(is2(O<uN7Kl&15_A7Ft+@h6_(`MjxB<Vd$PXOZ7WOr_Zb^{J6Uoz50esF(
zIe;gOke?A~U{Jz3&7K%z11UV+P{-rp`C(HN`U<&F51mRxl9W8PW2QSTk_8JJD{EpZ
zP%~}(?W0dh6hfhVmZPf_C2f?E1?r+%Kr&nq4=kbK<|azJ8-yb%x5jWOdLG=ji8Qm>
zN@lMo*1CCQPk9asOI^jmO(OhQFkLwj>-P^GX#&o;MAkJw4g6YY+>w$-K~=^VnSBgz
z`}P<hZ!E1P3oW`Q%{53<Tg!(-LuYH=ea`1oB+|314GkLCE)mkbCYc99(f^=MO(0E~
z`H%ZBRLS7Bq7Dk*K&^K&<w$@~gr3K^adQ6(NJv0*ZeZehN9g?Qi$aoSd61iAukq$F
zK|K{g@OCvad9;Dle@RQdzA2HuN~h_{z}eq1UyJpC<}j-F^mN@Ro)z|^2tlo`U2d^A
zM;J;S-;($}2=fA=lN2-6)-2cV_UO+Uo-(TIPuTJ!491|eGYb)LRc{HZbzC~b(sui}
z*KofA?Q<6~Mt88|?YSxHt=`7bsjX`#=?q^zT};nBKFcW=T;e@Ze;Yi6a1R36I}f}E
zUlR{l<Ckf%j+-eq+hzA0BmFHG!s6-D9@_l5IE>jyYoUq~XfS-7-(;7?P|u=9@EjYl
zGjnC`Y<{NM?J<h09g+<J@QQca^LiX#fNmcxjgf`>-evxa@d93{A@)C^qMrmv^^U{A
za8f`|+}=5`__|LI{Zl9k4>BTJgRj<$Pp??x&1G2u9~$~PNkqTywS83Y9kcQL*)EzV
zp5j_=+=HDR--djLk_lAVJ)s=>5@((K&FVf^U?a09J@(da8M-gr-P>!toYG+VrVr6M
zS(N<LAlOILO0NI5*yzS2^nvbc4F^H3rGRqEr3fgx1~V+@ogG8Jl%80bnv@tjvG|wq
zSj8H(s=HSu0<KSRG`?m1Y_kLKuSDq=%?v+Q76;$<uOgVQmo?EV^YF+|wf*ldxYa(`
z!I7NMBLteA=;r2h#mfp&Z`i9U?na(>CyM_?lLGMcc=8pjxn52DD;dznq3!FV=o>wF
z>Tz)YToyq#`?Ug9&EQE1vJ~^p+TL+4>B1N_iZdQEA|0c%9qGF_vLbz3meZvKjX2v8
zOGsYXUWYM`*3*Qp`!9^M7{as}{X;`ZL$RAo2dq><zVZwtC;3GKCle*hczZ5*40Chh
z8bwlP=PoPMut5vk6AnhEr|U<J4r4PqI2hkNNh|u1>NInOsfiy*B(*k>79D)k)C1gT
zY;vE+siAP`t5;I!-x|WZ!($i9r!SPFd!Mn*TR`G@zK;ccGCbD4L@wirA@@$qKp8n*
zr<4;s&2`xp{`@`78{t1-77#M3N}=fWS?24+MerKWr8V_=--2td<bS%P&Ag<EnLMN8
zF9<TIigmttc@K|*_=141{kNGA@RY6OK>Rkq=QhPV<3Wx!y>sMWVP#(cg%Bjht^oqR
zqk0!~{ve;DXI!M8$}N2cO_)V6vgKoswTZ&}R0DC(nCKwOvtOncmI)f#o{GviDv+A|
zg2C?w8M*ckO`j+{S<RmsSq_D{N-x4d2hz0c83r){`!?dTOu?^8&_#;pEXVx>wrrh)
zZlVY4Nlws=IdX7MgfLbI;Pp30lusxfd%jfaj};_v0o_2BngpF$zhBul?uTth!33v1
zrW7$j;>Ug4L((zF+NDqm4X93+@k6@n?zOV?SFe!N#OpXMvKYRkG&*ko4!m0`KmPuz
zY3&d3I>81ZSPotrIa4N`uA;`;&=X_-B4K3?D0yy7=Zbh|pkV4cdTRQOcZ}1qvJCW3
zAGHP~I_`DL3?)y|uu%<Vvzgx2Kbor%Hu?Rv3D^v=H-djQgB_Mu4A#0}6PF}FmvYAZ
zFpsNNGDk_U754O-j<~D_s%z6w=ZG#xoOYJ}15f&2*#lq*YsCQ@SInQu!umI4>({*y
z=j%8+Cs-s$o9eiA>g+;$hskrYO$m71ts_T}P)%+TNo>yrqJ_uA!=DbE&8qbnc89vU
zaGH(0AJT5bl?|f5r#4O{iaZj)Daqg`(}4O#hRnOQb2r~oe}OV_Q>&@cFwhF(qhDDN
z^{dnI?O;unq(rc|<eQA7yb+-4WqeCFpY6@7Rt$nfbs)9fCGl0@VI@1_4I1l|^UA!?
zj~z$2z&q~1q^FVjiWii1G&oafO-Q+qMTckoiuRXGq{Gyzxii+?2<-bGGV=8L@i{vc
z`txMcIdc`qhBF_!ebLWatb2L_gna6cOHyNd8x@_xS*#UiAy^Nnrr=G6%LR=%f-IMx
zrecz{S)_~4eCRf}3;L6#rl7b)8bcKZ)?@aVgN%?7<smu}tE`kztf>}~&fRxocYbgF
z{KSK3ai~4}>o;RI0*NBqz}Y(A7c*O?;P}8Uo4)K&r6+?-l9ind7;69GF#lr@B<bDN
zXdq8-V%;evi9hX)W<Yx*Ix_iV$X6irHpC#<Ql?}>PD2DX)`P-No#ULpavsC&w}16x
z%+2X=Ru=}%LM34RCvqUq3PiipnygZXC?TpaldwdG0J|^xnsOdQp{TJC<LQLiq`LbT
zftj1B=Dg1lR^9c+MwYM?sHn90ZG+6TB*m_A(_x$6RKV1k&J;J(SW^0uEXaslr?#m^
zmoT<^a-zUXNOCg$bLvk{i4~sCs7bpDfKVPmMA)LF@e0@J%5bZov(OoKJITGL10qbo
z$E#MFH#(>pTC+P;roXr{uJ~l#`Q!L?35X=5zeHk=2q*>uYHr}~?k6b1_@kvwpFf>O
z#mwd`4Y40jTz~H`mLs+cR|%QXbl5W#Av|ZoKx^=l#by&$YQmShzy$xH9yS>u;}w2a
zXk~nuv}$~v)x{2x?@~2ZTkS#CKi_lOjM7A^2GckHO{o%nhIVTq4V-j-^CSrMs&g~$
zJ*q9RFWQjxvqqDCy-m@TS0+MU^FgZkymYLnl!2VL2>Us=et$Q40Tb@4BD-*a?KX)|
z<frGxuup{<uN{=jHtC>@uK2pVM0&1tf(F0oa5iVWy(9h>QBTg(ol;>ti<(+~O*kWy
z{FDLZ;&8uvBirtEmmZCBzI{*7ckge5Ki2TvTv$?cSgvYRv8{Om1~);SnXor9b}-O$
z6dd~oV<lmYa9$qTw<+Jw`ez;ej&Qkpe&hTw0bs&Qfq4o^`UD9`Em!NT*JHKc(y=;9
z8@{Py1F<W2{RB{lw9bg<eU7&<r?gfuwHDIBs+s~Lz9`IRJ>z;kAr>`89~2OYb4b4p
z#?nl73YTk+oyXx=+p8fE=&(E7aK+JU^h5GRHx9oEtg_YQ1!vqc5%lpZ1*ONJ;ivCx
zZ(ZY#W#0MU;dF<9yUaXnp7mg8I`C3clo#OY{v5OWv%e3*vbI()t_D>kOU1{y3N^;d
zc07Dui{h8E*DHvt*Bh_zTSylRnKtmzHyW9?S3Ie?uI4w<cl%5;L_!TmdG#7y$(hS3
zyDAm?oPO@UC<8S|qef(h56eA+WiT8|Kbnrs?5M=-bKEK;xz+d<*M7FHre{}wvyB0i
z#y75yO$ESbJnWZxLGHG=CLd4Ie+vA^ci!%+9?iTYsBsO({Ta1VeTk6s64Oe{5-#OE
z!BCR2jiq14rz;rKUgW}+n?VF%j{h=J|KITmlvj!j&b+W!q8=seox}I-{-k6TCB&A_
z<-KHL+vZ5j&v1)({em)E_10<dhLo>7HE@ZF(x~Wp&}&H~#0bjT5z|VD7;a_q;|uXC
zVRYj#E;A|qYA0)K=+a%qs>&rvJT#&_(8=0IO#8PD%tl#QX(8(7@dg+%hkCzbMm&8q
z59m~*5k(Qco4F2sTqk?wnZpi1=U+Io3o=<T>i*W`_@wi7Jy9aetM|>9&h*Edt|fPF
zxQ%Bt{^*MOPW^o(Y9Y~p%at7(f3(o*j!dED6C|3Rnw9qz??W}w=&z}Oh-j)5*WF0@
zV*a%xh#j(MWI$2e;oapDU(|0s0-cwp0#DKdS}s6N`v=A)??B}Gb5lWIlc~Qb*lj24
z!0uM#8Wby_Da_P)G7PIOG82hTMF|hQ=}UODmxWu7B$W@Ev~v<qx<6HGIquCCmHHC=
zO_q;}dessg-KL<5onc@tZv(`dJnPt>NWfVPNj{{S1E}&6>`3VYy{|Q5peNpud~PVX
zP8T0A;)O_St#J;R`baEq3K?6EdjhcINAnG7qEfhNbjy~cPu(BSS3WgfGYD?)TSl7a
zhxCq$mKqz5Q+f*N#MxMNwdV+tS09FsMZPu4Ok}2JB>GW;l^ERT#o5{<QvH3dVAdRM
z%CIHe21ljCZutG_&ID=g7K)zTXkghV7GSPZh^U6S>0rajks{pr4ybQR=mQbq{s0Hm
zTulR5i8w8xWd4Di?YVD65~N_bXhKV%&4E|wM<Z~J$DILY#r;z1|3BP5dHS51&e)>T
z+uA~te<Jv`BwB-$@&`(O3a>+t6B{BDR(WpImHQ*ktr#m*MG-QdBCA(LJRv6&uJsvm
zyM%r(<bQuclgDcRCg6w6h)fSt&Is!OdUVToZ{W)nfJW>y@h7jLfC%w$h3A)#QUTB;
z0$d!@f5fdV)JVqjm>jqNgIZgkz+Ut2&Df_<X=ZBUqDR4PF&vi^L-OW`^aO`%Gw`cz
zs3w6>iUe8@et*r^(aGtcj8^vQ8lpG_Dcr#`Bj^MU<`c@U^vff}wWmi1#8DsqA6;)5
z)>gMgjlMN#ixnv@ZE<%GP-u%wDelD`iaWGW+*(`%#oZkOMUoT^?otR4JcQtS)1Gtg
z^WEor@8A5`*=w({ri?k(oK0We=0^J(VSSuWa2_oWpxI)7?$cEKfHRcj)ekHk=C?ey
zvrp;?vU+Yb55&~#y)l*4>+L_~VTylJS4Vh8*KZ{(eM@GR9%aHFb&In-AS{)lKLvAR
zq%G`gCO5$?WOuJEJ}}Wr;`gr7l#kV0I{pG<3U$Je!{pRYNCn%_dzj4umB<0hpV7c0
zW8M6EAg{yh76UMsi<fl+P^5W^lTa`{ALHX6+~!dS^ywl&q@R^&%Xy2O&C_<|Uyvx|
zmKNgCRIN-Q^78W^rEB6w8e%tbwwYa~1RO@;v(_ZZ$^7Pu*|xxr48u)15&zheU`swe
zL%1oc$Z|COh?AmE=H5&^&X0<N2wtayL)BRJw&^5|KbS7?Ul-NEf%n!}xMOz;;q*P7
z+z}wl9C^5AtSQ!`=NNd)-6_P}v2KS(2fbnw#fcB5cX5Zw9@`s`J*^V5PZ#|8^Ifrv
z(n-$!1#YMRGyTORi2j1#0Czl3xF3A-g$Xp2+CMIR|G<pKUPR3}j(@c~;;QfQQD24b
zLrIa({h+-c&uVR#3wbJ6?%_x{y*wh$DJ1z`tp(IzGn{+{YnA+cyT4C9H%)yX4^RGt
zW6XB`sbNG6$81v!(cK#1jP>wmw*d2BZ)I$D(sMo0O<NLn3``@yVAgtOv&oX>Pj-4_
zR+mpB7+uqZT_MLta;w=SkF<b}8v|~5D&z(Ry+vUZxWgRh`zMs5M8sAq-RsWKkDr2=
zC+jyZ<-dPMA~+22`iiJJb6W8~%@qz{Di|Jq^YJY%cH+JQ<@ZFrZozysn$F|IZ;IQ^
zN*7EWB)n;_;{43+P)f6{cOu%=M)8sP;kgQq?7zTf@(n|y1;|%>t!Qdgj>LxF*k9HT
zbCXU4;JX!<9+KJfdgM|>MSxs@SdJEv{=8T@U#4gGqj$DmSYTyk?z8&2INXm5C8BNk
z6u~b1%;q~;3gqHW|J>$)(4U>whRC?>4why=catk4L1*|s!c^}+0fm$J63IOI@?Hk>
zQyd;dsL2IM6T<rPIG{aqDK%AP<*xOPBK>o%gUt8XFDnuV;F(a0l`Q@C)z>PkBFDiD
z@8nN?<Ks_fp5pm<9XwSn>XQ_TlZrz4Qb(oqwI?uxm3)62mA|C9!ux&mBtO~5l;y!?
zbFou$!mQqQec+*98DY-e8GV12+nNRo%8*6=h#hFXeD$UNN_)I9P!zscQC|bC*Ot3v
z$+=g|J^M57<SNz;t#9dM-08{gwiy8ab#^(CYiH}gnbbPhL@wB_Y}OyCoB+H`Li(_y
z4F6lQ_^R_f5+U<Ldd<gkA|h&eq#*F*Q}a~**!=IMz{lm+4;1_dSdu*1qs$E;A10PQ
zw07N-gV`NtHWJ<K`efBz7_+eon>|)Kf-<j@hu`3T`aKkg4;1f-tl@uHI@8pV3=N=L
zlzMf*5Dwcj&$&|w<~LJlFApT7dM95&0DXY(^3#j%3P!u88$p2Jh9qR{-|Edw<0AYg
zS>u4>KLc|rJaVFrnKeO@u3W_rLEh}Z!>|0*qU||1)^Tg8L<-|enh90!o{{8Np>tib
zv9Iyj<5xMlx5pTkM&J<v9#mD~u40ETu2hkN%gl$aO%r*N8UP*Iv&x5g<H3hGQvJLe
zwRD=NgMlkI)bDBU#&R{XVhLVeE-;L{(%uwSApEz~@u?SnA@Vb<v#YuyNRd@=-9~3-
zzhp;oqCK?=RN#PbRoEw)ITOr3z~6uNRT=A0+sFuHjyxZFe?MQ%4RF{klr8#m^(XN;
zB#U{i%vWOE@D!bM)<qf&yLbaZY<lbdGq%E*7$^+(z8QC0WfsYkbneuHE%ft9!R>!r
zX8AVO7`#ATJ261dREr&btl_)R&bQAmVft~%Waf@=leZf;RBO$jo2gQM>KB6{mAJ#$
zacku?3!;S2<<B?d^SDD@B#%VIz5M%Ur8!v)CZB>D>5~^uEtk8A-&%`L^yYh4NtaKU
z!;Mpz9?0@oFKEZT!y@uzjrtYcorSm9J(F`<SQZXKB|)&roPA;XN~0&i5_YKJXhhUm
z5cAFW^Cqr~n9~!sRR?<>WBtC5`=86hg*PyB-1LWiHLKOb6`!;HUOkA4Ej0F#<gD@F
zRLUMPPY3a5MC^8Da9xQed2^94JR*W2A+DS2GFS~|pR<iAaPSTqvU%d^DJ}%!R#aZC
z^-#(-ut!%KM<=^I+3}?5i)q{y_3n<x!8FqZQb@}$+Me#4^g#35--BZKNqyM?cFl13
z@YNF#%7!|K92RYpR4eUlXuQw$Ag#%cCR_$am_g{6MRs52tbS*gP@r6&TImEkM<2(o
ztNGjK%!^|Y^!v5e_utla0K&H|`}1CVhP;_^cx-U9tjxx($~_kpOQxXk%=^vFjDbbN
z+WU;r&%x8<pS3TV^J3j>?V9Miiw%08fKGR#gH+Em``rE)fEpVy0C7UGA`x>PsYBaF
zbQ5hERHXB-wzAlHf0s8tG>!|pd{JObAb#?KAFH`Q;R^qlmN$dDY5&!)bzi7$!BP~x
zz$Upt(+DClex+CqsoLPQ5L3jNIhyxIybYiF*A`6D`r^xj^I~X1g3>dUE@D{IJLE*`
z8+yt!-*`s3ctWCptjf&JkJnp)9aF80Dh2|1wwc=QI}7pZ^_>=OA77xnCKTFf)NCeA
zrz^5XB1}OTs$Wz^U!bV9?tm5vf~`Aie|quiYoB;L6ns1w=wKuod61pFfEi%Cj<+C6
z5fIEt)%9_4OVV9?rW6onwLgD2{Zl$7QzF%)SoN9jJJ3kowz+()G3+pK-)6Sq-mtir
zB@k9`f(Gn+-X~O$+?#7of=SU0wuktQmMXDlG}|eg!<!oNdKWMeQsDji>8g#~qn5S0
zAZh=F)KFsIu_8Shw$y&Hye4@<ye7s0^?GRuN&&|q17r{cwXm%Rb2;Q&-k*yK8>Sqq
zg1tz&L}0pdY<Mc@yg`Y!r@u1^8j2tUZI3rLx@2ZF*vV#AIgdF{+7xjcK&o=x-mb_C
z`52b5nzB=%o#ZHm?WMa2tn0a_=~g~Fa_I9!z6@y}s{&nS*xLCIyZa%GAj9cUtelCr
zOMFJtnGRq2&;~E}7I;!F8TZCW#^8oUlD%DX%I_t!r=@N@Mar24d!}UUJG8B0X?yj2
zrsG={ir^|cUSsE1fxT%!txu!7HRzJJ@%=a=z-t?SKTPdi^fmG|7#~^l`<FtV)4GV`
zHHc&_(UZ3mB#ci=8AYCDE8;B{&dmhyd}tAPB@1zzy6Q?ua7hj@(B^k|?PaIKC8v%}
zb*z7)c{zu0!P5slKYb@r`o8)B2;vVuqK|xQd^HDHKnY{KK=%iXvGIHeJqwbZxdiIk
zM&&l17R^|*i}>-UE_Bw|LilO-(<WkxrYYT1JiUeYM-YDTM4l3eLY_%jZ0*BGRq(`@
zDy*i?U%ETVhr?7Y<=l^ZYtPgHI*@-Vk6KHOt&1Gy-;8c#<#c~g=<rU`LkfdcZn{fk
zl~8TSx_!~A-P>1+0J5hE*U^YO!P^$j{Ubd516^2&v_z>v<9(;NCZD0<l-bs#JpX-9
zcRJqGLhQB2U6+Y-n^uvC|5c(p%H%PRz$1du+2X2Cw14R4+$}Ljh%KcDohPBh5Tedk
z3{xyL)E)5;zDS-kV-W)>QsEg%wgrn3>qF^+$}}^HvVwza2Rol*8y{hT@Uykc0nAtx
z4tt+mxfM1b`{bA4SEq7e-@Ta;ZDzV+olj`ve2<Os$WJbmi`4esf!GQ^xzvHjbKjJ6
zs7XXk_RNzOn*k^Hd4nyjZ=ST&B&Wky^0eO(WbIYf@+@nIsOmL0X45mWO&3AK>t`_)
zC0!9ECGn9p)+JVhNi3X9S9e<R?*!KPKP-)$7qc8{8hCOiwqpisHEBcY!^s-OPpt+Z
z*$*utnGcVX&?e(~GU{;Ks><jTtG$B=>nMb6bMk`WY=0_0)>xY<qavvrWO-WA2jFXI
zViyx{Qmj)=;1HXgh(r6_e$3~XMCjqeXJ;?$tQN(3<Y?G6Cg(qPq||SA`@PQJ69#pE
z?(TV79rk7}0G-E6Et``e4H}OdfKO^P7#bB(2l~@dJn##XT9{TbeLaJvdFa|ZCcPv)
zAhbP+coW_|{?tIuIx4kXG5WSQtr_u*tSSTR*rE$&t5Ye0RY{X<aArMUXN$YNpsZIU
zj_-+itbILgeqFY9)2Rp<`@2|AXMVRc1+#V6djy={yaVBYc5VFPu=Z?Jgw%{{EJeF7
zHW}~`P-0Cg66lM=F3fG&AI8X`*LChP!)aAJ##kX)6aINHUdD5$u=2Rv#u0Ed3(05d
zO>v~>fbHfNe?Q&#@#F}~$ru^1hs-BuEQQtY7`{*-SWcXSw~iD7Kt<eZ?sf;oY$GjX
zy+sPKtOvP6bovHmr{u7>^I(bHZYnC67V=IN5*y_D5)fBOC3M&yp13tr%<Z_~nd?%o
zEntVa-A&^=W<Dwc8POdPZVx_;Y?nLYL{q!m78Aijg9~1-T@3T!BhwV2`n0-sNwuR@
zPj3*F^gK{R^<GgBS*Xcxu4yMs1m;1#@=+}APBevksUa-UmOxUcEa!QG7jKh_Egayq
zzw@q`fXwC8ZrK_of5r7xViz(oxiEGPPaBW*<+=LJx<(rV!mMe!No06A2jaAWHg|P0
zM}xdiIrrrBggt1-et+nsU+H_kXB~(!2hs`EsKqTh!?p|Vo;;$tPFrFPsmqAlfGbuv
zH@^%4=XbrEj<$21%uCoYrpFD=x^?v5CV0IR+H8UJBX^o>t^XyjA6K(s)+iIwhn6cc
zlIoefhY2tz-@i3~Gll6h>iRONfZ5+PBX!$LBeqx#cCn&0MLz<|HX3dT#6!8)%2rR9
z?{CSrw#8!F^NEA7+>6~1Oq$hOUqWI-d1b^?$`s?{H|w~?vI-ntj*!Ekf<<3L@UzRA
z8|`#{G_*euiUXHSmWXCw9vA3zHQUU!yn44kN%zQxXI4a`eSt?d)+XA^Ma~c~s9tU4
z=Zou~c_5*$QEaC`UEvOy7!gl){CTC+M4TRwZ3oC%%;u|_-omZ&)~Qx*bp?NN=adb_
z8r~K<rwNOtk?E3jEH$caLHTBgg>ce(i1B%x@#b~;U6&NC|KzqcUY;Vas7!+LSk3VF
zxd~c8>8w_hXf-)EB0{_GQ>CtHI*fkBcRtHKYY*6x$fcs07tH-YA?(001ug8I1_72N
z^?r>Nq*cs%38&GNTOF+y{5ZBTlJ>dY@skNLsBG#G_hc}aq#SGj?>=ckvjAsK++UY-
z3{JJ<ClXl3BWxKgv1-gWZ1lCc<0?b(L4|@<z>U(GBF-hO<2>sXt_BDFknw?AouJ>j
zK-q<MJ%S=<@t>jg@lY7%jM^AflKaLo9$2!e*8_#CMovXit6qnk(rin<_ldb_8_iRH
zw@6(NG|vtd1gc!tvvH)-udTet;RDXNH^0m0{jJ{_$qNjZd<iUu?0-BOJ=J8>iCUut
zKaW=Lc$)&&jBbZJH9VXW$2IeiU+m2%B=(1{IlhnQnq18z&e8qnpU?j&yp`6}?Ig@6
ztNPfClsw%igsFDw@kA9F+Z{F)xrcE1x1Bv!C*V>-u>kFBIA^}1*qe!c1^X>B>y=l}
zuj7(DYu`hZ?Abghx>L5Wk<5t;oAJ)>fS`|?pq2iX8{&SQJ86qGt&yzw)fzPxZ2x=_
ziUeu-ox5-6`$6(uXsT4?ovG^`nbx1MkYwIF5XBH(d{*T7oLli)G){_qupWYvGxsSy
z@<{X9>~1Lo*4^xJSSowIhp2Nlfd^T0R7h(km{U>W3nHCsyR{9ao59-oP;mRbd>seI
z^Y#kIep(pk68k7(Vq@Ssb%rA8gGjy0!(_#IilCochE30LdWl_Ijc!^0CV)~vsrNTu
zGWmpy4X>Eh6=rCMhb6yfJ#LkkA6SuZsTvw?4jN8v)%(|@$53r$bM<uAJ{elgEnAK<
z`6R+RKg7$DywyiPlsTF*9_QPDWxqHuQ?$DkuiN3wU2GQoSm8+zw}sU1v@$%K7Vpr#
zk(aiAf88kOjI0Vi1eTL?wvI<oZV35;7~?GM#&&zRD*(RV>QUW>@~4Qc+QOI}V;VoD
z6Zds}j*4s+{X7<94+DPx0~ybU=g*RSzvPzWI~Yo&8&|TgS`<o~ugdI8CeEH9)IaQq
z)q~wm1aibckMJ2gY<X=2O!k-5KKl;uFDSfa%K8W&h~J(o<E!!{wQ1B&+7=0`R40tj
z4!(W2<}>d_NWCnYj6an%w#)H}!zfubUve$;!PQ|T9uo(B)?w0X{|8>RX8oAqyqwhl
zE)Nqu_);BRv}z8c(89^yg!9`Pb7L<>Q3KY6{QUWv>L)|;e4>^oiI@iuv-sl&s-Dfi
z<F#qj6>Cv11RKO;c16%2REg4vWaRVc<Wws*qHU3*bxsu2l_vv2b01oJpONMq(F-lu
zcG5x6uXYG`u{fv=OJ}b+AzZpcBmbCe_~0;eY*UBFbHU+1Di7W31hCw3uGZW$>odvg
zI|EIOa2S9qPfhP2D1pNoVOpPqJ*{|CB_WsFC&i9xv2#P`ff!$87vC7$7@0yku&b3H
z*Dn?|v)i-wc@`UaClH+K^;7mH^GLG6olUl|4bOJGY@66Y2GsVPb+v?R;<LfjW{gRD
z=BTp@yj5xVRC&QQ;+Hd8EYz8;GrFA({`tsvLRX^}%_AhI0JuvGjzVx7{P7ByAaT)q
z{uH)7{gc@Kq+wrs`S{%Zku_c4_M)<qIOLi@Orz>6u~2IaT$^;qcC22~z+g7jYP`P!
zHnrVM{CHL@>d0w&K%{DDK`1V%%2+D3_6p_F5eQQBZqcWZ3YqiMH2t}!b#6RD3B_ax
zizD@7$N*62&%q+=#(q96y*rz-lse3SreZ$Mb2b6V)P;?lzb^FW+J%z#zagIq3s&q!
ztOoxsOWDqMoYqR76J2Ws3Uj`!lvmx$R@`;<+-e{dNi9`CmYTS}V9H9OmMbeKJgtBU
z#{{<1g7;5sIH^k(U3ipKvwg^Q>Y;8Yq7$OtW83gYS;~VxzQ+vL1pcp8yr|&&0{Rjo
z%N{;KV@&s}7$iL>-OV7PLLC0_V!$SwC~}s$bH~lB*nkG3c(5BDDL&X{(wT$ZA4cTH
z?`NY#zk#WNI%g;&E(>cl=yNN{0y^i^W@F`={l0qx(*hHmi@bU!wBrjCv174RE#AC;
zrqD`#l5^_#xSbTFw8Xb_QqtI>Z94)rz$d=l&!@xc@CK;8<U+l03!8#U7fU<uzYQgo
zNbB^Vdl|ovsMzQ$yr?nlx6z;Ch-@^D)>6mxeAnwkt+#|%x67dnC3<F`#$RTqw|PkY
zm~nNOxv|LWnc;2Gv*nnam@=6CkUt}!3RuOt6YjqsiSWu7sdZ-BXBVT&4>Lk39$)NH
z`SYQlj_M(cH*h3B{uXzh$ajvX_AJ)oB&fjMi8pqIph;8%mw9$QesrGUk?JnYnOfg9
zh^^_hKZolenbtFG0bb=3k!oJF^p~>6SIo~>7?)@v=%?A?wX7f3E^^kD09|*Pd>Ck-
zD+MtNb#-6{DtzBbJ&;)X{^@_w6i9a@>o!B$k=@Ms{pN=ds!Hha>L|DaiaKV$=U^h7
zeYUdu24)CBHN~?3cE~)@6ZZq?RGS9+gT<3Rz<&R@Rsr?JB|DDPUMkGP4~!DOm{hDE
zgDYTsnCK})hf|hAi#t7Wrm2{y#c{|S<$wDq64A4(blZnsX+2-M+e9y3s}WV-$wQV_
z-1NFiiC~ZZO9XgpeaDa<lng*AzHTH=+sxU|T!>}y)8kAKZdZ&P;RH2PVfM!hsEP|O
zCPZmfFP@RtzIc@2&3yJcIgmdgQCza%4W}1}fY{#Pv~^#C%0oj%p0Eihywx}R)R;qT
zUvABDVz;5V!1?#S;)vdl;T~Wa=A*sjgRG+pSKd#zA~eKiwA7wgbr;I|NiLHe9U?JM
zti(UFtGux3HRf9P{c1<~q!gMa{Da;yT0dWl_Dz4BhDZ|S9SeTfYk-<O+Ol_zuwx3t
zr(fcmT^1QVMEF#W3Yhs@Pk_`Fj(1WAmQTp*T?t<5&^eyrV5T0_p66sK6%VMAjP1A_
zR;YHtQs9~2PyExJG@jO?uFlOI{5rBYlc6?B;M0%`$Qd<?K=mYB0%*UlIO=)r5Vz?e
z`?Y<wf_CPyI1VRe_VW#c4p>vnqKScX#vj^<+2wYR53BiD(|Gq?jMSEmgc+8fnQNC*
zi``|Vt_<<D2#sq(VmGs^x28{!a5s4Rn>|2Es2+&&_;E`P>96OjTs}~`JG+!Bd_W=Q
zL&>go`Rpbe1HI~nbQorXgf9qT+$$H%)@nH)Z#$gRM1_N{kIV5YBuV7@lJ7o=raJyA
z?Q{F_f)$gHNTrW{Q}G||l6>bl$v>s5UJ2Em4u6~OZ|u9Z|1j^veG%e}1(Cp*#`-Ju
z&KBQ-7R(H<CWp^Q>AgMYA?yY^1Up{)iG$wR%^}P&h;j++B$#B898f%|6dd6^>Fsox
z&ZC6ESLVCUKJ?WcWaZ345;nZ6=kp?}X7KJz)2;sh;F+}k%QM9*iwI}Z;?efGL644a
zdKOWD(8JN;7-x7?Q^bgO87BPa0yA4@1q=x!On9RDfBKR%as*E=C*l($K8d^>ATOnj
zMo_Ys9bbLD;r(8)=^DGyK!r^)^^@jAe;KRYtbtmTEXS}%_p;Jvg!U?-IWq<FA-}s;
zk&4NQz`r4DZw4^4@IHS=WEwj>(X4Ktpo4h0TM%xe+5IR)H6&S%iWDncqQmnlx(_{>
z>GBnvv$@q8LVYY17i34$-wHU5KKr0>D-`vUp5LcDkaa_J`lC(}etyb6!}&n|M0%$U
zK&_p&=XN6m<yj{HOjs#bC$pjf$gL#?ukG8!Rph)zEAEU9_%4<;{LbgZejISP2#7)q
zbh7J(m?|~7bg!47rBpT#Q?p&_w7U+QbCuz@6>3BKa(K?bN5rs+i1-y~#cHg}`}o^t
z_guv*Y5#z04wPDpvC}e>+wbVpmN^6|Oao;wy6A0WaMH>(SHoWKMbjg^cvgB6{e%I)
zf4l1a61C``CI!5chQ!)eWC~}9Sq^+CbHClvt9>aUxj5ASHOO^4aKw@4KT)MJK#iVv
zgFL#(vpB2$l3tn<Z0Gs0jgMA#X~butm^XBSN>&||6srJG>v|rKY{LxNQtPgog6mfa
z<!c|n-MQc%#=uB1XlM+10__kl#@f7eK4Ju}fWSr7kPpIAh)qSjZ81|kxx70>>A!O&
z=_F0x0*5<lKBz4?8H73Ule)}j6+2>Ds&>Kdw_&>8<u&$!KJY`T=ibel1W@=fCq18N
z`_QeYM3{|pf~{(1-}flN72;OOKMaAvE%XiJG@7i_PnXmo!mL&?2vXI;Ej}McGFP18
zX0t=_*3X@s11wiEv53m_8j0Uyu61BHP@(v~R2uAi1M{PKlHmBE9~w6wAQNi4m4iH<
z)lw(|+A|DP_R0t+x3VqP_}@H<5d)j97&$D1g5M2FS|2s2<L*qQ)g5@+#G*Qc=)2~m
zKNYpE`A{lQ1XiSv)9O%3__E8{dD0AA9(Kfu-A!n|^6$)xKbqHQ9_-ZgST<;(xEs{F
z67U0fm5hFk7owxzkzF?VnqxdqOlEmQS^3Bq@2W<Ks~R&fU5`{5pkwl;d(TiPrtJU=
z?g7pQ?ebgP+Kp`boPJ@xDDVcVPA=bTv8|5-aO>C8yTzY>&l>cTYRBZa3a!~$yX1eM
zf$?B>r$kDU+X^m~+y0JRg41AIJ`2`x^SfJ3lToEV99VE9VnF1=hy`0HNO^%0%wr=s
zV4YakaWdwQ&nyA6?&*MEfW;%fQs1WOGdd*0K8aB)&3v34=<T}$i<HH|OT9k0(m)x3
zI5NxYYJj_x=Nf(*ucQ!GnQH>n=g<9mkl#@x|38L9Vdd8^)npgVuIo{<{Hd>V)T$%!
z<5?ISWaA${k{epCt=B2Yxa)2K8KLjH-8dqi>-_kl5r9iFHmhEVV422x^!<~tHGo^T
zy)^o;HS61MYC9%*&V{(eVkud3x50Fk`fwm_A+f^FLA6o*!mfHFZzdunn$wyMyv@yj
zyt7{I`#fbG0lN78%Z|Sf-LQcA3Z^!Nhs`Np9tK?EZOKAMDsARFXdCUc^BgD$77b}?
z>ucXuPvqWy#<aZk@h>C5krnRgRxIDk%oEs=iZm)!yEK(f>HkqqK3|%E8g$xSd%h*E
zG*@h^HzN<Dg=LpFSzL0_nbBrhElg_qr=Iw70IMUDy{q)!qpsIL7Cj-_yq$hN4g&8+
z_1fPzqT4wDp87t+i03><NBt-OYv9Xa!z9$(eDFXe(Sxq}U!l%9HF16}4<A;TUw)PD
zka7X=>r|}2KYo;OFkrhdtP<FVR%$+Qvq4bGf`o(bg`oRa6VqEysii5T08^!=m>qkh
zAPsi&0LJ64426eKu9+3SDfhQxU&`g5XgXj%zBGYt$6tN*t{Nia9V_>4msQ_zri2$t
z&d1yaC#C{1|BcF$>Ppv}kma$swqfGd{T25j$ZX@6oAkNTAER(3F6UJ_h-keaE~-8P
zOYN_y2?}EX_h0e#s@6M9o@?{X`}S7@QWZ7#O_rp28pG8nHFna~2yzIVO?;M8I3Zcp
zc_2#Y9)?3P)@P*l;zYIVXeD1Hz=BeRX3E>?P3dL!g#)a%3(zAEiaV-$hkRe0^iCUq
zlnib}z!E<(W56K|rBD({yl6oA(|m80XtIt(G(F!s+YlRB8n6^4P@$Ln$O<w@>4nII
zkMw-GWe*r4h9L`|<*dT0Ds%V?)Nsml4u8%W&vAv&g1YZ3v9mikIMld(>RBoWH16sY
zCACYm`9~pKSS5$(mjCfn;v{Wy5}-JLa>ccIQg}kI@oJi{L+LpOT_0L9r&<8w2EXkm
zg&CDKnn8g4eTsk}D;y3Wdr=V8(7{x`&7Nbps!yzLtM8cqFNW!h3s#uXkqO<Gs+gCh
z%|sCq;y;TY*sp#p925i=2ax@=UINsPl1ST|%3U;t=&h2yUZa_SCRNF1e7zaUnWZE!
zz^TZVuo?AZD8If|NSbKMq(MW`cL_dsItlzpLQ1dL+*yCV1FY|<w_vb%S7wEj@LxoH
z0i&-7;v`oN?^Tw!{+MBLYs;qcXzPOZgvdQ<&q&)<Uy08w@;_C2#k4`9Bzf?)xW4;b
z6jAG4Wt@SCqKlTB>{Tq5wy)`~cakeYipj1IYg#Uj)GBYF<qVJ1NnzfZ1K|DII*&ZF
z!Q~;*Pr+%}@D@x^@hj6m5)pKjoWy?C`Yp%J?HcbDUnjFsx|_<3bJ@QJ9bLr35bot7
zS6;y^JD18kA)NS&XI|{p+%#^&H`*Mxe$1n7dTwF_-r)qK92*wOB4kMLZ@+6d{q}8^
zy!xWI!=B1Zfe~q0CUKiQaAS^4#Bq^6ui!WF59KfsA>+rqSlo%;lJ%eAttxuHr9aMm
zxdwe~*a(ZsMnRFOsD^#9a<h)+jfy%G69ACe1kY?HOu@axgc95S0T#P~VN_~gyS@iy
zgPlrhX8<{$DTfB>kojEI@ZRz@p%G<CEpO18kIXy;X}o<@KI)en+0GdaEUti=TG~pp
z)nt@!*-@vP{FkEy8^6tg?=_c|V``rpTK5~uFo5=z`5Et3NSr2%RkU$26fztw>)Zw1
ztHcz>sFWwC9)56rd(f~D*=LN;$aBPE&^%<-Ctg{q+d~V|PV~UL+Pu-FINGYi-S$dE
z&52^_MwMf>jk+Sq1^qu!6@Y+*Z^tZa&I}3u{NK;nS09G$TlQCcnPkuJa1s>TOP<k-
zSKD+GK#kc(Fak5<uOkqfeCS&`!_KSnH6(Y3#NT}A1-w-Z0xmB3(MC3<#0sxb4Nul^
zvGdp)Ue~f0B{@*@wxaI$`apLT^DR&~@}cDr9%kMS^7fs-NEv(MK&x3POl&vSF*0N5
zSjpG@Y5{dlm#whtdaCz*c{w}72#eQiMskEPocPRfS_JrsGvRkhZ-ucyhESuDS)q>8
z?)$7wq>7c_TZU4C6lRR<;D{+`t+iDXvANPxaGv+CJ_u7J?Mc6xuraA8Pr(#Pjmr7F
z$7F-6EV3mR)=yhAWL=B6al$phGUeSpBgs42;Wf90k9W3b9^9miH%IwCY<*O<LB;2K
zp&d*|{Uy6t7*_XDM!aKBz=mVVR>+;L-MlAeMksI&W$3Jz)I^MM5jlDC<<yu+vb|_b
zf3BL;7Y_@nuZ(`eM=M%=d(#TP0KE;qufv}gB790J#zDPUGG4}Rz8Tn`@kU&f<P&C0
zqxBQzr!SA}rpXo~@1eJsDg>}jez{f8$LO{##h?J$NlLd4mlZfpO}?0_ndY`g#B=E}
zwZI#eLGhq-oaHi;p7VS>D4$323>bgJr2n$cV6D}MW7fN>L(K{7dax)aNwFNK$VgK=
z%37^1Zmp<OEm!Qd49~Cbw795>b&%?eUSjsFga0C(cD%`eNz(OxmUJx9s1z7EP1#C1
z%Y}Rlw;pD~1-4V?#O%pc6@UL081;zGv%sI%!2ETyE1PtqcDA?kk%d*Y?yogLoHPk%
zqBmGgKQfxxQ^Yt^@DC<;MPnG510sD6=}EOB5u5q%A!xs@Z|>Wqf%gda#A&~ntgR%q
zzDiw?2>FY(k8qzhl$)$>pX#RnY{<N&QH{_RhHd|?UdrTniEGi5HOH~k`Na|HS$DP0
z<w?6V0HIMz=RbQ8*0GQ-+c>y-P;lF#Kmk3OCgIdctRl8@VG;Bj(v}hinoo2DPHIZ(
zY&GtX@5_dURc=X{zRC%z{|w$G<#k>qk;M&&zMN7tb1n>oe9HC57_xb{qzH$cCzy;#
zW|?FF<1vR>Q<0wz{7J6j!`+w;XiK?8{>}9Pmjv?6y-=oIZ7mCBa^VXfItN*V!oC7J
zm<~<S1DR>>%yY))7w}aG@kmd>n1+UYSHzRt^cs<I^ZgA6jAOP9vn{FlgW+hA6zaRL
zEg7=@lXkM6l`)var@Ig!QS3ilnnZ5?A_#-O;^rd#Gu{euI$6b$4FJy##Ag~tCExgA
zC$)!iubjY4!;pcM;MIZ~6m38zQe!LNVTfzvKJ7i}0RH-%N;H#H<!Ilqlch6Nc@!9L
zs{>-uKiR4tZ=~q#>p%f+WXa`(WAifVoCSQ96ek^enGNCzGY4%O=&I0Gj~7Vs3RP|W
z;PGsVlRLkZPX-UA)a<!YiyWlx0G*X~R^hxu^h)1e=>r>WB?<B1qmHd(-39U01HFu+
zsWSC;^#DqNQn~%MsZz~aTv|p$mzqX_PMxSN4wut1neuzR7yc94s?2iVlHiR6v>V<p
z-LdPLPV$^C^7O2|YHA?;l_HFTNkuVUwu&k4z5UWYU2MBeocb9|pm5%x6;qiiiQD-U
zZzoBhFwlDOT3Gs}`kv_eV2Xw<!{YVSx)5v=X|Z??96i)+a$XpT>8Bgpt*mn2yCIB@
zD|!~hjo8mo`O8!OMqLL^e_thgbz0{=@<~jf^tC#+lDocyb`w6y2}`I~GTWq`ZakLC
zu10Yn9-Gc-QIgo^yn$sbobmxacyO!)`dU)27D)VLl|k|x_4^I7=vktB45JBd(YwkI
zBDy=H6dW#}JbHV}1&o)Cy?sfc;C@n^kZ$j}Sp94)9&@zQeLlLoFU5cTC?Xb-n$#-F
zAdmqHht-^Dvbn6>9;c!&616rrGw)sj_`YN>c=5UIFdrXGXXAsIjy7(+%}hQyrFe7w
zw~bd%c@&0i7{wImT{ODzOc&}_1vn519_uYidSZbM5yYh~K{TNUh0lmV+3{C1;4ztS
z*>Y&1p@eMp;u+7^A}gTfM5+<1WvR6N_UlmXfHbcylG?er+aagR*cYB0l*%D|r&|JI
zhHS#{kjC~Wtr;H2+k<fkO3O?`c0u#&9ixXPgB!=|X9-W*YrgRQX>wdC-3sD7VXEkn
zLaR6UEqen4m*OjN{5~jFUk{IeSKP;{U7w^NLZAP5Ghj)Vq8b=|<fIMJD4tKM0@r{S
z9uEw8UQSXG?p@b07h(djGGsXl08PgRK7(;DtGsXWqIj^|&K|E79h)gk0~ua>-IK3j
zE>%?*BqPN0!{h;cY-h(lPZq{oAw{P=o+HKe&D)6-M-o_G^xc;~u4a~aZ&or#!Q6MO
zC523Nz)$+-Uic;D7%RNGJ6EoHB5$h1yc!GCD8X1hSvc{HaLBMV<A&^hL`%w<pyz}W
z<1^BLud%z5mh0bC1xmC?y~qqW@Wd=HuqtS>P%I{)OiRA}p3C=}E-#)1a`s#J5W$9_
zXfS#uBJzpZQM-igcnj-3)4_}NBemAW1J;f^D%Mmd*R?Iv%|M~-TTq*Nmz5S^(WtiG
zrNF&X(!WjoG_)%>^^X>cn;uwRmO2@sDB0V2qm*_!_F7-KN?u)#9iCRHF3Ef&8n>I|
zVrWhcjn17iP@imP<GkwZg+`~;_1@u{>a3y9Ilg&N#Fbdkc{=4l`^G>vV>LvK(V`y<
z{ehF)?z;1$YsN+QPsH6Vw}$j8#C@{9u}3nQSN#W|7=px~l9;9^X7$E)`E7b8)ESc;
zVDsg`w+@v(oJKl^ONpW9uG7W1drNOFhO||Ds>#5{>6uDe$dPqU!na+&7die#Q;3gb
zB&KZ&CBPOcXbB1B{aikSb--sTbY(`b&`&=^i6pDdwx!osFDhw7mAHXoaZWA+hL-nM
zkDUOwlF?fRuqpE1N<)Ax->3WbHxE?eSX4k5-iK3TYrX~7lT_b*nrm{KKLzg#Lc#yj
zLMkn$A<M{4_R2<iFLPwach1}uB}OI`4_b0ZF&SGfn@X|SYQ#2ZtzKdpa~#Q>v1;7F
z|8yjGmCk(Q)@!DpXrg;HzAkXS!>WEW*JK88wDbLV^Sdp7n$e!eqMK>N#P|48wTq(v
z032}WSu1PsR;l!00;Le`cj;YK!Oq&7I>j%x=Jf0Gr~@+vz2k0!&3}T<s9elmRN?Jg
zq~(E}M9Jp1&7xEjxEwX2V~=Xj+J|CD%;B}cNQ7R|iptAvUlOu4e-U>x{z099kphC{
zLTi|(fb-aA-`E}XE<NIT_uYY?DENi@1(6W#Qg8nj`mJFs%x|&3Gfupp!7%y-%O%5=
znv;2Nl~%=UU5sUBYP~B|Ux;R||HnrY89p=lw(Nx6Ij#h*N1x7TeN&vT!y2*AT!mPp
zlCtFFB?V$<OKu!yJF}dHxUAv*=7udPSFY&687|<;T{>El-F9O;I63sWR+t0R))9A6
zvtMw!S0Do$TU4VGg1^9ofO4|xOK~{WY11_Mv6%Vn1SNIJsF?^(T;caaYLi=Qoj=vn
zjtcLpj4J;kg-*gZx@&rImj@q*FI)ZjE&?u(4_*&W$Cj+<Qb03>iY!w{j%h^`SfjhN
zA!FIpIO1}%8zPpA0Z}f7df{R^Us>G1ggG=0%k>#rJ0hL76zt8_roG+!djtT5k9H5A
z2q&Y2Qt8+WO+;be;Z(^k{;cJv4y)eE<WGFAUuy_TqC_&iDlO7oucq3)To3HHq`nTx
z{mHWW(O@@Ar&A*(s3Pqwo10sqw7p2?C7d6O9%`2&q@o%O+rXg^%Vmz;nJ#FM<E7rK
zs6BUcnil`P<o(zUpMmfWcW?ybdHydYl8Q<@1vnCvGf}Cax5qI>|I0(SJt<dzuu9pm
zEsDPON8gGv!-h6re{({Fg2eFU2J!ZE-P40O?X8A)b*ghl<v8eo5I5>4*|KXJZWRVR
z5tLxgSk%<~ST-AH8_#Ar<KCeZc<$E(HJ~kco9?to{Ul+QO6|lUSNBB7zrlt3<qWM6
z`g{XZw<=-hBt5Otv>E^Y9Zkv_zbb%urCQ^*Kpl4C6zt`K&2g;XAcUdn>|^^`Wpl(a
z9nX3ZzZ}GLenp*=o;qnFN8@2ldrXIBxcvieB$+P2e7TgPv90D3qaPxk+F=#;@oc+w
zEXJW<+>-YD<$s;d=8HB2vP>;Hj<GiLwrJ;F6|i#Xwtp48A|UcLFhVA-wYCjM8a~#C
zwr~yHYD^c_*Yq?hYt46xhh2z!egf=pSaVUE_0Ch^9!!xVi3V=f<HdwT)SZ8aJK*Ed
zi!PvFp%ww1L*78k4BnW6Wz|=x1@c!DZ$#)2#T_dFD7>?7;Wb=@*@MTbILw>A9ehm;
ziKirEfMUH}d2L8B1KjULf639^it5Xgsy4i$Gav7j_JM%ptI{*|nd)Upgd=TNz(B7@
z$zafU9lCdh8+iBjGvBEYhn@K~Do!r-QI^8p*s*8)1$Meu&`UuyDKkD2o;ZdaFHrSR
ze6AC3R*&JNSm8;0om(6=E?g?H(@37%L8HB+uD1<!5~<25XAXa*ZmAToJI!qV@dJiL
zclwl)7@UXToL)5wDD0~>W@b6>?Zd*aL>`>R7uQ)whVb)uaIp`{P!|uw&cw@gpWSXi
zqF@}eW$cxxbK)=*;^MLF^W;zB{v+4B)BBe0zA9&7VKENY#tHx|KC<C`E!BG6_wxoj
zHMv!Ef56B;j>clA<;><oGZv6>5u*`jTUd1XIbTYmWq|u}C~JT3aPY;^Ks-0#UxVaK
z+X6!zQ&?F1_Tns+oS-q;ST4UVT(jb#W%*RDY36hTavnInPpMI^uZPi{^~}rI1M>8o
z_g`;cW~bF6Nyb{K_w$YOMF5-spo@?5ic*PFd{5?6v_)E;_fE8PEI$XKj@aVL^D9yE
z(x7BcM*Aj<p#;1vh4`R7l5B2qpnapSp^~3^Spzn{XOjpeT?j^ZoCL17P^Wgl-SWV4
zSQ;3&I#xb?7oJZ2?rITb=mT8)kmQ&?AA0nza?IX?ykehKe>^%$uuP*}n$vEwM4rOZ
zq)kMe<*J#)W7#*l32zYYR4KiynNpPlXbbe8z9dS9N~VrXE!B*d&ah3H@2>|NL=tH_
zj^%iuSc7O_&o!K7SKY4Jm-lrkbo`XyjYXV}G%nm53Ug1Fy;INlj2GsYAu>J(c(Wp@
zd4YE>9O8a)v(z*8soqYsCV>F5;eC5D*xf1Bs`S;C`qcA~rpH)kMKLSSq%Ah@*x(~{
zb53X2sZKZY{+FC1*#wps!FtF0<6#4q5-xSk{g+?9@d@c+lB^x|xE+;t{;gididnLO
zxwOna<D2g>(3G?5zhLWm278BQ`=cZQvIFn-b$WvF$E$(N(*s?2xCgNmjcgI4F+qs5
z%)7zD1*wEjDExcfs}<M2TsQ4ag^HqThSUx*)@gjVzjZH~qwJqJmkIes-x8A@4KIHj
zdAssrbKvf~%M9ROGkTwN*`pI2YH^;N)f@fyg%#qSDVG)YdSx@LLgY0y4L?7QN_42!
zj*OEw^J&?L+TgBa9WidUcU1AFtIlUX?19JC`S!o{^{kM)-~)fEYwpRV{ZYxW^3gUH
zR4#6;Wk2CL%Cd<Ref@jmVWPc3=bm@fgn>r=m7j9f#mfM(DRB8${%KNQ_!tQmJC&iL
z_lHJ3zp!EBzAwL?5xIReokGMTwhLBNUobe3xfP%Ou-&gCachJs8g;2gFZbLxz-C@l
z^3y2SVqVS>%*jT?*Pqq{HMvboIbi8x0nBw9GLIDq&fZWy*)G<-v^Ck$I{m30yFdUm
z2_HX6^WobpU28>QlMBB>ofr)^Jdv>ZP)yCZm|eq5dr?Jen+I{nj!NNpbF#TladhGD
z8Hz<1#GZOXk4eQaMC6VC&DsTBL7{ccCqptoOe$V&U#kPLubN?B9jKeS>r?u-ulDDU
zzSf%Vvq5mT<$8CXC%LHIpi;U;4t6S&TnaTA?F4+Hm-DSq8?q*Gp~mz_M_ox5Yt7bT
z!+R5d@02hAy8{1W0}+kTb3?BwIJ4iK)~ZYP8mws+5lTP<zzIu;`pwNgXOt9Oe@d)9
zg|PcSv3A-8E#*hfuaqpEv~M{Jn;Uu?E#8$0?<iNV=I~iBDa0AK$gCG46+kEDbBKQv
z=jK>YmI}ikM@tMqJnGYUnxu@x1Ph&($}~%KNvrt^QEWOXPX+BpbB+8iW2k!(yTUH7
zBxAlBzH(8WKr$tMVkGIxU8>L%4riT!^7s#ZT&Ceo`#}snM0Lz@taMT3w7g&I@^ddc
zg{FT0^`nxXg8$SA3y-e1<0ky^;BHehtUhp=1q&}Ayc-ThPjwRaAv}Fm1^48T=401S
za4EzhO!+%M-dse42L*8esT^!Xyx9ywM&N!<RMDx*=8M>GC;+ZJy-cyzmkD48QMZKO
zgDwn+mZGcP4aS4j`cnF&eagOPmhID6*6omU5JMhu6Q4)li)9KFEgazw?v6NwB7>N}
zmn79wi!=ncx=C3apPx|x){K^^_+wlqnECyN6+JI=m>B4%z3sMn?gagX9LbTmR6{M?
zWG*jW9oO1_FM}z$kFz#800*HtxYiMMP96)(cZcTF*m6{Aks0KmSX(**%h4Jy3Q<co
zgPt|FImEy&Li@gYzqP2lJDv$=*3h{^Z_);6@V7dW-}gw)ztdH8;YO9P!pVU4idoPJ
zyWTo()5wxab|?*e`t3aty2I0s@<(x()%uoKOuTbX);sF1;~7jpLFq_DbxySjMm!OH
zNhk9_?PxU@-&<@UZ;G;}&Z{U*2gA1_m5^WFY>npKGp0R&?56Eve!^nUQcNngLLVH{
z+@$kWQJXsdWbEPZWWH$6X|*WIA9B<96EDhR4#3|#A}}%-27)zcN##H!XUEcBto2k~
zlSWXkLFncF<+$~zpS#0U1mD1-!`VkCZSK_#-Jwj%;kI$VK3qwoz=$OT-{ZmaVm{%!
zr0Rb)PHL-|Yedd{gvo@#E1~pz5}nDhe$#cnS8Uoy!@;6A;<I$#8MzJeYfcQ`FO_)@
zVD{D!LNCFLG<Nm3*0QX3!eK4DD2Ao$@?Ete)&)`}<s#oM8*>ZT)oCe%Q8d$KovVT6
zh0mjl3P;6PtNJmhCSDylt+?4D=I9A$OYlZQt{4K#9R`!P<l<Ks9)6hIb<3!r&m6c}
zo4hJnC<KJ{K~+6+WG}PdnoU8yL^EdXQ4EOF-miXkC90ZD7h{)N=E-+7LG-9vNBOR7
z`Rl2Q6R=@4KNmORl%o3Hr4gVuh-<f7^2%*t+_`)q>ttmLnl90a(2T9$X)3+iTs@k+
zantg_2in~+P?}H$Ns{$9=lI`@H)Nvps>26&;PK3i&Gk4PU;dgS8h9&8tQ6BOkb@&@
z!(?Q=l2p*8?mhR*A3&Afr|kCj9Js!43bh6-13;Nq?j1Hxde<ts-}Q&b3RmrX%-3%*
zdYBwDBW_H}`QycR@7v42szwaULxtEBmwHA^+duHAervgmi%Yu=x@k3t?N%>q9qG5x
zbevuD*~dP<?n=4N#YwddMYpk%^oal8;*wjAqVJx<p_2>!1&fNWF21l1+^K3kumO%;
zp75P{11(&|)j5>^E=2<FlahWG$apdka9<{GuG12)*SEPatDUpW!L32o{^tk?;31A{
zdYvjhM|@q$XL4s%S8<I|HUFQuq=VHDbzHIA>LA^2WjMr}s;n(m;*z+n&dwJr#!TV*
zDf5mirbAhddw`(qK7+1I4tA;J|C`Y<^w(wtMpx$%!Azt~5Z=HII*aA2Sf%E>H$8=Z
zSp@jz{bY$YT7x)LAqUd0XMQx-K&HEs&5WmP76YhroWx)kLnf|zzzfWiNf`b-<8Lk#
z4MB6<Wn~62ppGPDdS2;CB8lfGxuRp=O)nb0%^w-ohP2Lk+nsUcr!^f=-%Ib>tOKC`
z<yK(pc?HHjn7m`e_=!$T3m_MM<lP7+I{5B-AykaNXK^jQRAM-eCr)LLD@H>ZOIoQK
zADa9C+(9+&I5blsnIf+X>5>PX;G`lm?=H*!FvM@yE_N}b*pC;yYJea^_@Y0;8cw)v
z9k*vW{tc+fT4;Q=$b<<*-)~y^Eq3gTTlVQxh)}~qV~}Xaf1|_x&yTm#;0;`=_;yS0
zf_hS61W3KNw4hNLOvZI8v?Z`3I4)@8K{_kq_o4D#kZe$GC}%N|NY1qs!^-8b!@|oy
zQPKbF3^8StIW5HIpjY6lm#m?9gPZ&%*4Sk_EFsbPe8Tp0!^6|6w3@c_nX5UD78Cs<
z_Y)2h-O)Pr!^8ig^ooXIN@XZ5P0X?pnba^k^sRG&2`Cy_N<4Js&IS@|{-HQWG^@8Y
z3P^(q`q~=;>_<ChbS3p`5*;O3zgpk^D$E-6mHo4)k$vbHwZFRj71T8^W*@-2LA|gu
z0h8ejRb=zL##B4QX$r>QVvMVHq3zjs|HBQTrYuE<y(5Bu58}Bb%eQsz&o;VXA#uH<
z<Cfa_0#W+@;|VHG%u%5Ve=Iu@Oa<hRkm_S9sC9-JTdCZnIXP0owT38^K)yS=v3$+;
zH8t$gm8x_#$LsHikm+1-y}uUwe=t<|0zo@iE#E|*7erGpHs{Ro7md~%@eh!A`8YTU
z&9-TPmdHtIRbQ??`qwZ4Y<;Rq<dWL^IO+^4#q}9eZ)R9Z`G=L%=?@$+r#Se}HN;D)
z$FcGs&qipJDWsB^1lfLD*cT36G$mEcWvY2WiLQeGqo^SI&w4_G*Db;5@G`mlm2+Ut
zFNV{Dx#431+0hP9#w^FmF)9ZZ^-8M5=C{vog8w*+RjpM_*SC%0oWOx8lfaA6yR*An
zlacncSWLI^VT<g!;cAcaJJpLnLliC$IV#hoWllPQl?Hz=*RE>4{!cNTD{3t>_dlDb
z2LDr=<1d}Lm42(tCoWuJVS}t{H~=L0ToFh3b#rh1e>VDP9DecU?gjdQyTJI4nb4(l
zZ>}xu`;G5t+r)dx6+)FEoDmG<LUry5lEh<1T<lDhYc$$v5&NC&yfZU18);8}Bsc`i
z6pnB6*v+WWX|x*7U|?oObY$wCuZGjjb_R%JIxh?BRqtRrH@CXL!ydZ-l_@Uk{#Qhn
z$I|)akF6XM2bP-%mEODA(DPnvElow<%D8SyDRkThSu6_QT-B%f0q#r^Z(c@i9xit|
zW8C)ekOXi=*yrHg7&R%-+sSTo$wZ;`NaD#%;0yZHE~)5NC^|>wG@NBKCukVc)><Aj
zs9@Btk!j^kY1ut-004kk8VaU7fW}gV$HvC?`)c7~Js2As6Gd8)-kwwk)mroub#!zn
zPnU~X{CZYp*!t=}%;Q&KQq1Z2v8sSt1P`aHk*U4h(I-bWo4r*hG0{^i*fX{LIT?=f
z*E&QzG!cEXIBb)+5LF%4X&bIbD*`tKNTt+#=?ci{M|Szc=(=uq3o{ZfXiSh%tVyWF
ztj!oiqE5K$e!Do+)f<xG)yl5oI%d}=XpFEs@~aV!00mW_4wQcYqw&8kCV*dzM1UbK
z0E8QN)F#hMIF^Z1Jlo%=kizZ|$RPeXy1X>*+tV(Bz+aaZ48Z^CFMi?u@BPQ7fa>*F
zHT-6e{LH7LF#Awfg_Az0W6dmyTWOMW72!yzG)r6$S#Me^U%kZ8m!CGr+}gO;HMkh7
zH<rPbi?G?#4|q6pu<K#Oa*OwE|G<ki`qPX(0(F7#(kJY5q&%S)1TwqV{P0=A#zhN<
zXC^c=Chs9GT?DjoaD)5Blu%R_48)Sr`}_BUp}DO)2pCO}^2m)fFtz{o8Tk4TsY8HT
zSqU1tXiR)U1j9h~FXy!$hB51-hXvkFNQXB$YV&+oeZRs@>>~46qRdR)!;$avV7TjR
zbGH^97BK3Jo~*|3<qq%8#hl;y#DBn$(ffGg1~g_(ZnAlFOJ+habA`_z2N%up!@RU4
zb}_&GaIG*85SuW-?(2Wv!tU3@z`F~iXqP9S^jhnG^$1@Vzx_vH8;$wfYD`TM$2byU
zCe4PrKEaTXX*r4j;U(rg8;k{!qWB+IrzZR7oO*x2OwXvbJWRs(hl_uIeoOcFyK_ki
zM;2N$*R6k1x{>6$ZO&>YHZh8SsLX)LQgwpm+)fz%4rVzvt0b<mAn1R3R8{_Lt_?o?
zzHH5)7x`d->``nPQeHdj>Zb+AGZUjT7P$BL1uxUzugeeJ?5ITnRu`fF0afzPABIPM
z$N9{Wh(E9N_x@B*;$OuukOUS@+Gu@yEzMBm^kRQpTb%@~GhJ{T`<AKlC5KD$*spa#
zhGJ*F*6i~gU-$r5=iR|ScV6gcQk@p`Tzh8AVTsO$fSeA#h{;*dfBtM~a^o#_%&WdL
zn&9Veu9xW<JsSIUUv#z^4=;9~3FD^$&M?d9eRFyQo+oy;0Cc6h^jQQ&<cVJUT|TYC
zie-TBea74{wEGF<F};uJ4_fHCKhJc!I}?xTiJ9fakJEL1go8uMk?R77FzsqpnsiB)
zmX`iG!GY(i*q#TAw%4n#M^4HDPv@)`JA5$l{@>L)bNoMqy#-KRS+_0R!6gKT;1Jv;
z!QGSKf#B}$uEAYHa1H^2ySr;}Ke&fO(1Sa?O?Q8N`~COb`%?u~P{lrTuQk`yvE~5G
znOF~S;ljbqtiBA?ZTA%Q<tY+dQVB=$gkDybXW)L+Yz@#FhM<yUaoIn$hRlw1{Wcic
z_}aurG>d>OXzj^&b=wu#{U!o@{LYMvc0l^4N82bsX(XMlrw_Nh@!3;ld;>xBpb`i5
z=w5tQ-H}-<aQR8r(>?98<!L_hx;k?BJw^TXqS(~f7zzyZ{L^M0`#lW{Kc1j(P5$Bq
zmv}<PNPO=O8#3Jfnq28_^e@HB@%ZL$+pHjQA_+ug5u1^8C(F)RVVjY+t^YJh9L4|R
z8~{;w03hgZA<Vw#YesYttU0|-(>`w^Sb@mlFW`7r#^1MEpBG}X^)Ds9&H+L*$rH)M
z|N5xEnuRIY&vpbj6Lf$Ir>TWQ^6w;Y^i;wjfFTJ3T>4cwU3=j_p^6h=KIz^8&wqaQ
zSsK~N{ppII)1x<e3E0}~WRK)#t2xm6N{)8tRzabz3~RhE0EmJCAq}75$if)J&OjT;
zDOGtikAvHeKT~Xb763;>Zk?1io7Cd~0slgljf6kj2J#ba9N<$%OK!Gq$c&c<jTg=z
z6YHz`hZy{7U0GyGHW+ycpWIkdtpfqf{J%e^g<GA|iCp)Fk2^X0Ca&)wvQ<H9>;eL;
zQx*9?5%vH5+Ti<eNU{cB9(NwodB4Y!_Fk>#JM<l&XcvdHml{JG^BqqALE!!=Ca{hp
z74Geho*nm@={6D5_Umc~$Q{!C$|Hb>{Zo{`t~2V(|Kl7Za?EwlC_#F+M|k|IV>w#;
zuJ3Ga47n^;Bbr^Tl*?u5GY)MgEI5IG7pv%X0-R7UAkx)BjcLrn&W`8B-lukJ3!tVp
z@x=R_$)HyK4?AM{=>Dk3as2pRMVld19<Ju9>7^mW|7)ps8;D@q3@ZQBV4+^Z0o;xT
zK1faMuT8!I;PFoq&fa{Xay!cfoMAeM3N@Ca2&Q8xKU-jLryAuyNANCv00MjD{}^wi
z9f^PIBd74@&6(%TSZr^evE#uH)-@)bp=+g{-I;v&&y4O{I|pC#M4vm%{dqXJM3?&K
z0oZUqo>-HeG*sn*Tm~LM#y`I=03RFw{R?QGWVwF(S}<1ay}&^eLm-;$%3P#cMSR2(
zqyE6l&F`hyF3KG;&flAw=qEV)+(%@3|38RzkvDL5*Aee}LF()K$fVaCR7JT~pflXB
zqNp%^WFGr1n6ykPG+0NewU{$k{OQD-&5N1w3eJJ%NC-$;xphog0EI;T^w$~zRb;c(
zr_5R)h+Y$p`!?Keuv}>1Y`&5h0aR5T9DxJ`R<n$Qd#QO-BM<rTHpXPLl#^)<ckp*g
z%a7&9QRCDmAbtHGC9Uh+x_MY@a)#i4s(1>FL)|FVYl{Ge*-W>aU=MjEb*}cK1g?G`
zxk6yF$)HmzXJPh=GQNjcsW(9c3UckR{2ruPR&TxyUp=wu_>%rhYIvZ_IWlUo=BuFY
zj*~uDW-!$l?`%Dth@wl%Gp{L}k<M&QOs`tcHQIt^c2H2F-p=?%Iev{kizKn>=JL-B
z<$qS@=j&!qfl=wg7;YzcFDR6(7iz=lztT*V8Cex4G6o0My@*x~?Ha=KO2%?mEq;1h
z;76^bn`=NPb6qg`eI$k41&7-Le8sHHuSBf)`v)`Ay#J64Ul@cE@g?X-Sz(8rsiK64
zq{j7@8)(gC1stB4sp$%G1IFg~OcwTFL}k>yxJ1-(7=vJnrTRp$bln#T10(L0K)}dF
zq?~t&u>#|gGt>Bu1gS{qYl_77_Fq<Nf9_7zQ<pLjZO@t_3sL16lUJ0&`zTwzGv`L4
zG@Ump>-n5<;u{thnpXnMK@b0Hes;DZ9S(|Q1~5IShz<Dh9I9{T9c=S@DGMQHZ&Wqz
zVg3=?cE{$lN9Am>hBC{<AS$PX;7y9|o&7TL-Ae<_GKw@8(vZm-?#{=~&l#6dL4GP+
zN5YIA==E8^WO_P<=UGllga8?wG<9odbQn*gCxT%|kMBqt7rYLCttgs|av|f-omo@=
zcQ~9c6^kqd-yOb#qcmGI%Iv|-IBi7l7?fRBz*2Y~Uz-RJssX$`!D4{So50x0kHN@)
z&D_Ue1$g3(5_BoZuMsW}7o!Q3X>zRYR10<cUTRtnEfeo}f560<MKiEn!71~M>7VCK
zuLR-lkX~&#UGcubT1~dR>-)E?5+K?RQTttHo`coMRAt&+t<bqbTZ>mVXt?EEXH<FQ
z6}ErWq(x6w-@T7Yt$VS5S<`(_>iuSF=*Kh9+z`N<@VAUO4#3d8yl!Aj`Lo*!!#^25
z)0XHP*jn$`FgG+ouyOf37y-9_LPb&bBYLP#^Se(+cuK7~KNqiVkH)e2wbYNzu`O^1
zr^4PbFevh$m6QMp%k)o{IZf6wFpivAzU60Xc`u6k&GMaii_jLkLl>8|z;47_aP9_n
ze8AEOSME^d|1MTCK-?G~n_FdIioW~)qdjLDEj^lCWYTN%29l+W@~wblakyo_n96|)
zOzM1t1wZ(oPB{Y4iXve_hwTA6f2{>M4>?L+Wa`2et8-L7&#J=Jit*TJJ%+tr^BNNz
zQBCS@CI8>GO?KNu8|R?FEf|lrLP`coMNwiHWEtITG;z*6?{dN-wz*0{(**Szew6@`
zc%GR_9yX=Obt>>m>%ddwPR8a@Isnna#7CWTH{iuHrNfOq+(0|C<inE>pnJan75PhJ
za3XjBc9l;C&kq0sgWkyNU%dPf53bf_7Nf@>@#d-nC}|8I<Kpo|>8N4hIek=$=a85^
zV+LwD2OLJuC<2VCF)*K!LTqRs*F^r3f#y`;hT2;I;O8ECU0bMip#_j)kXIC=el5P3
zEWPVUsotZD@e~ljP)_ejUDQr$n*hjU{%3h)GzOiLc7u`|J&uvfJrKGLu3Tkb^CHPv
zTXnrxKt-vZic3)X5>d}SQkI_k@I5u9<u^`Db4U-P0Iq?;>KmyM?)|?XA3*+5Jay11
zWVaVAYZDWi?uPX0U@7<mFgZ*^(CYQuI*s_U(Wz6#IgSvG(R_1$eL_<^`)<r+Huqra
ztygO4k>xe-02}i^>v1x`Ie$at*ZDxJf%Gb}@0%64%4QlNiiG|3DAAmMRSci;kD#~&
z<&frf`r<jOSlb?m;iD8SakDq7F6KC9{B`y&-_sxe+Dg^adm=Ing7KLhC{JVKojxQ<
z?lrgLYfY~5(2vb&vNm`kACrnkJ@YH8Z6aC3&5Vw2w|Lx7Xau^aFhEdIrbD>DpY?1O
zfRp!T449R!lJaaOfjsQw)6S_tmbL_Kn`CdUGu(>rm&j!8DvvD$+1G+Nqx-V~ptLs<
zpWX}(mWYV2!ORl5id|vWu$w)w^XNu@@pFEa1A6eVbN-jKmw>dB<Es>JxL~^sV(o7t
zi0W+@qdpi(e>Z_8dR@pUPK6_yRy4ZjX<9h<9kv;*rl+({+J4>f^?gpY%;#r5q5nk%
zZhoHG^-}qXsB~Ke4dhc^kHKm;I-@PsTXzM;!y0InaU>c`VjxMzDJcf$`@<K{+J%k<
zn(2>)DD!MRCGMZ7x@UI$+eZ`#jE9zuhF9>$lVUw0C6_lE4b<DDyz^uuoMQ_f0xymT
zZkvV_Uo7Tqby}pD90z@ESFnftK7MBP`SYOtzgP6MBMt(;A>p}6v>ZJw@!p+STkyWp
zY``??VEWZgGeg|w83lb@Ky3!cjB}KMW*htBtID2)Hd6b@K?!4Iuh#g#bPG;2G2|&+
zfK?=Z@c{Ra(3K_jd_P)s!a`B1pNM+o#+Ef$Gqu2}DWlN5$_xo^(cbW+CAs?gQT6|4
z1s4X-w0i}-Vh4KxiYqM%n%1s|Yqc=<M1P_yto5T`k)tJe-;K63ClnL?sj?7B^{`;#
znQ)w$CT+V(dDi5mRpJlvfq~cmc-d$HRuh|;Q3*Qbbir~&{iQ|f-NjO_+C<|n$gf#b
z3gz@)b<C5uYs@^j37R?2ED6tMTKQQGfwk);NPr}w0RG@P=%>)_WgU0I%#4G9d<|tY
z${~5oghHYSgh?o+6hxjLVJEBoIh|F0bwWPayXc8&0vE|D27XVxlc2_54bA!cJU*`(
zM?7Sl!~S<IWqxuq*LY``5_amM08$y@tUo9XhN@%Elz@5WumMZ@A&a6K?wN<}`CR~N
zpg%<ldkc6_TpD10EO0c$S`&i>V!eq2qiZ~SL^M&v=-J6}#5!mEKoYB?9)Jo+hCX|)
zyllWePZ?QfPUDAc7LUG^v;;Uob71~ts``H(IKV8jpj=M3h()T^>PDhIKj_clvw7Lp
z+aAQgWPvZP8qch!67ayE|8(a6Jpf_a_L!MA&fsf>%?*taUF$Lt?}&fPZa2W`F1bVA
zJSc?o?@bC9@Vg{7i#=diS`;v(*|BbeX=u@)F8<$R9Lf9B42m1UBf+um(ZY8@Nw|~a
z4*W;BIiO#7E57Xi_kz=t**|@7T>$UQCx^-2Dvn%6{_T+ehn*gh0I7-m?R=iCF`$$Y
zh=2Rdzl@X^rWv3o46@JBktjxxJH3+!=pGm|uD9;$%pmqg+5XIc%dJL$rpY|k;qpmR
z_)hV_D(~O#+$5mz*g3P4+(`1Ze`ZHz*&X<$;21+k_JMi$zv*G>)79xcz!gZG7(w<Q
zZ5)yZLEi9fz{3QJRhr$I-t!w$HD8iObbVFTzwkxZZc7bl3D*mC8I?5l#=93k-ikQ(
zxt28D)ZO%AKj`89*UM=Po$dZmLweN~3;-hx59so_t_TDCv6DD#{H+?DDQ{X9i7(zE
zzTkf2umB<TJ~rE)-Pz9BzgPbI5&t;nv!{<Bzx!*<<JGnvfSxrjGcy`8o<&Jb9ZX3{
z2@6nIcJ6~KP97h;yl>Bopi45uuKWjlkBQ66+O~IoZ!Q*W{H~!CemVyo$vf)p`B3(%
z{fDm)jB@|1Frx?Q*J~Id+p(0H2Kd@-xSI>j0M?)!TbJ4=H_Dh>YRZTf<fm8J++tOh
zbLzFWE4Z-vHr+?VR~Yx#Iz?AojDN>4&j(^;`=*8)sr4w}H>{SAUb+X&poK=xER>UH
z`|RbUwvBIWy4z8w?<!oa<pQz~?UGT8(`y)`1=78~(mQnW|4$q{qQ^R}@%!%dmkbp(
z^~TO<y1k=gH$VW)?s}m9l2qU|EW*pqPJdW-!(OEMg#`nEpS96`1LkP0BX(p&Rvzog
z7MSDeaIz_xA?(-Q%frv_bll{5!O+^)=5TeSW1Ce|UCpzh_eqI_hzM0p4SatA&=WbL
zBPL3Hui<z)*&1kc{PpqC6W~{C3`HLTti#`iAskSzFO`*wOa#;ZExfE06ffFE;4BC<
z!hQrj2dueDB$;N!fnEn*rZ;NPtG0-rK7`_OgMlKd*m%tS`X`fGNHI@~u;tGGI!8d%
zaFzR}(o&n&d>EPHWE=<?hv!URD5u|G6s6=|1O?hh4x3n>S;4`3=<jsmP3T+IMDdNJ
zz3f?r?LzW?1DZ7WZyEz0a#F>s5&U_)+!T1R56*Rhj1_(^!HbHD`u^jGibVIRyTE%H
z8F6uO*!=u_^SM%josra@aBJ0^rx@>5px$4sS{5<%jqwTZz;$$V)WF0fc(KkZ7bxGQ
z2zYSFX9-0&Hu3;$bUVpd4}<ZP=F5!^k9_<tdvJPsdgTq*Ss{nfew)3>wpl3U+-z)>
z&>R!Oe@>SeXn?9M=<cVDxz1-a?|dI>l?l;VQ&=|p88~N~B{-?Q)3|LJ@ug-mJdlEz
z^C=@7LZiW0VL98ZO33>J^!7xQVmDAA$x(PCZ3rnqSNdnN_N;o=+c#d<e8*BtmV4_m
z??pbTVt-CMALyL?I*}{>_O%t=m+|C)G!wJ=Oarg14ypHH=y=h`@J=?kVQ|(qsv)13
z=;xiON!|Js|C<{<QyX%sZ{S^0_FSsBsjRCD4uH86kJFQAtQO2h`J|pdJT#Q^@f(AB
zl_5N-fV-mMi#F>84*6dE)z#zE&%67(yWas$KY+mW<<#`FAH%7JLq$bJR!2-4r&V`f
zU+{k0V}XI!(eX+PKERQAvtOp$#s_pZP*^qd|C4k+8{|w%PJ+-m*)PE;=-%;!Of6-7
zzqKqHFWAt8gml$;^53501Y;DcO5bUy*>5dKOHj9N@93{IdA`z|<?t_6#6oGVf8D%?
z(rPHPc9-!lFAiw)SoaB<vQlu-C{}_an?(mPt(}mWr4!#hENrE>H}@_O6@U7P6HUuY
z8B{bn8P1C7$oTS(i%D#W?;8bUTu^Ha+AXUP>Xmd}#eefEH~ZVXjEz0r-Hiqds3_K|
zF*Tdt9{h%eh9+ibgTuo=_$pWe8dz9T;?%88K1gJEzVC&Li_7kPZ4ZZtxCOMFg1I%Q
zf`9S0uw*MD(bE^{b+ZiEW_^2rzw*cZ&1pIFB`^?{Tlg*(a5;Y^l8K3bW^7~zX9q$P
zUpK|&OGs%zA4mKIcRmoZkX1=LG1|OGsWq5(BFV_w#&Z|Mluw7`v}a?%Ii{KO^pXw)
zRDY}z_DIwQg>EXVvaJfEckY|5zK?b4sX=6UAK@T+O3D30xGg5R=!JV0W>D-xc3*4O
zHTy`@sOgxE6!~f%;v4RgIP#wc<31SENyA<buxGcBjPCtwe!#T-Co2R9$ge`%6=B5S
z8KZ<!6Q49krkNVE79&(YyQHiwSyo!t;Fyu(7ml9%<Y_S@NK2y=Cog%i<U8yz$XYW~
z*R*{qfJ62+5PH-ktV`p$;Ze#6>eH6QQqEE~T!~NJjRsrDt_;5HFCZ=+?SNPFLY>(e
z$*D^fyz;2y4J%p6Lao?h_5W9FaZ>_pQJ6;8=&Q-Gp`8lDZ{H?MUpG`$iDn7;umOyd
z@(6nE-l^#=ODijxL`mMihQ7V#bEYGFXZ{C3TzcfA2kyGmHG}8lx4W(I{EnXlIXyi!
zU#O;DY_NNhS**1P%$G}doJwCoRL%F(L1&yH;<6qbjeevI2T08S*|K;D`@BAwginmV
zP~|96uA!#A4Rnvyu4~3tn@Vj=^~+$@8|8A@`)TFQ&Wqp3yI?Oa;nNq7{SWhw)Oc4B
z){rZ@aDk^pf-p7Ya(A2qr17^_8;vFiNu$J3A96kQN1&h-9$%y+rd0ojSC{rq4ieis
z_{Mo~aT2T)WYZ7v#11fz_zmlOO)HIVXH#yFBd2C=EL*a`@xH@GPgBN#09FddI-c-P
zCx2)5L>`ZDT9C_tm@nuSWh|BGUMGij+hC+utx=QArQ|)y!AhB!^O(2gop(-{c=l+n
zZI+@`Dk8s3jVi}(M2oD>Dt>v;37K9~@*i;=-SKq(n*Vs9#gB=ae?D-HxpHzGrklcH
z0jFA?7D+k4)w8tEV`wA*Wnd1Y@<hH#!TgfwRe)h1UNmavM!_^skcBd{bM=$d9mg31
zG-iFc8VL=va?jLp7W9MtS3PJ%k8*q=d(m#Cxev|m@pECdV8gHNZG9V?=+w7nj##|R
z%!i?8AvI6JjEs@#l-`f`H_OCp92^{LaAiq&Nh~@My}i9;<$-br9<~Ms{u2|5wsbdH
z0L(oyCFS)IPex{DmHFfw`R$qksEdyE@p)GuA|(SuG1RmPaB+W?&8YL9<J<aCqCa2>
zFjYno^}W<zcz{k{Wq0{j?(2|6d=h&-a~L`cc5GkLJ#YJiiC_U`2u5S)0^q!7Aa0Q1
zZP*)sUbXzYH@`0_GM2b7x4dS=T_{Zk-+vUzu}>EVsvPjR>htr4yFm{20>8dUqgQPC
z;H~_4;>~s^@k3VQiWM11Yi27}Awk7w?plI~-VA$tIue?xU5XE<(Xh>dC67}X?P>Wc
zQ(QiKKZiv?SxyQ>YcQTe!IrQiuG&Dv6$-&|e-N}?Yx0MOCFH2n_`{|oM%^(_(I%!9
z`R-@tcLsV`!F?fh`)xeiZ`E8+fC+H~kE(Z&@HBeU0TYWuh6t-Mpb@L6aqAz%bU&kV
z$!Y0NY4c~e@y7fp@IAL*Vnyy-g2Qh-zQ@-obuq9u4F3IgXTwLz{&Anc?UnxBHdmol
zSGz9J+Xm}_uaIEynHx}P`6mgz=RD28UEJ!A9zJFsi*TZ*rgq+&K^}-9+4|w}p(o;G
zW=4fr*f(RJT~{%v#;LGo>e{Sr9Cg@9^<BY_A2_-P$v;O%dI3`Arqx||ukS=eL|XtE
z@8IYt^F2T{^;hJR(;KD-@{^dEen+e&OrlCytvF*BDhaZH*BzHsSBIOE+eLEWeKAwE
zXs}a78^!{COxaZ|eZBNz&)Z^mb~hMa+RpJT2Y+?!82Z-Zk$#$N-1ew%>^F(NRnE(J
zD)a;~i^4*y&cVSyc1-($;iUl{CO)r!7mLb?!oA2sr02y|v6)ASthW|39&y=z%oD5{
z3RP_NJcv>r_WYg{0!J03nZow-mEBbP&l80zdHal6VB#&u`a_TSR=g9YW7e~&c@hM2
z4_dRWb3A?(<>Y|(b(lNuLab0vmN!SjopTmCsf$cOj(H&|?sTt|;8)4c$cfVrJjEhe
z16*gzEBP^cM<aEO`8&GCw{HfV$poDBBH>~8yHs=#5(G%$rW_|GrUJslUoeeCEA=fS
znbI_~O{n@Ol*SPiDX4x%MB}^YzBIavPr-nKU$N^7Z41u38tCZF%mK-~2uWb5Tvy9I
z;*!{jfHS`8t7`vxVln}LiV)U@fu7oqvuvP>^H14yry>qgI=I^5CwzW>ehNW0^NIop
zC6llRo+)$hldyixmZ$+?@}_5bjc{*!dGevp<68n&7LT!zL*x#-HKCOBbVx-k?%;I3
zoH!8gZuETs0hL*#fOIu(B)f#R_{Vv)B8LNkzE$^!j7-ETXf@o)T0W3+%1$x5XRL<T
zf371hvGzaO7sJq9NANNpp(Iup!jfX(h~u{Yf=LvJsr&s(QzeKD@0HaHYE=;UAR2yP
zND%}HTK~N4k)gAS#?@Sn!FDLf%Ske0HH)WgrqBgiVRSg^HPsfZK^~J<)n8jgPGSFn
zOQ>Nf{y`HfK}_Q{*dn+tlsGQoz6_sJDFqAQ6nAQ@HGq5O1xVlf%w{;Lx$FaV11UcT
zn12=l=#MwtCSM$uScy{Q#=0^Fc9e`N#bP;h`!Yo(=24U=!#;qoDNFTj+Q}j~u@}Wt
zzd>e))Io3Scp0ZKwWMZ({aY~v+A$bzzfClIp)+Zlh6dh&H@kl`H+p(fj*+Sd*vLq4
ztbx!Jr{BYKz>o$x78kBm3CCy)1}3Na73?yT`7)2!ydmCTYv9)em%tG1o2s{Zaf3dM
z|EJoD^6NMb5=$z$>6zk(yL=$b%*@<G3b9*lrEk5q3;wox5O-W$Tzr#LuiNI?=yT_~
zA$dkA?=kjDdfc`IAdp-e-CC`)QVR+V#n%O#=+Cn!r0hYtGtp1;4sgxK((4zwVa>;v
zke(e=#I0YHW<htvVt>@Me-|;cC0!c#d!y+z?{g-#nYo2zIM-Jmt5tC2AQ06av)n!W
z6fmygKNuwx$}fa?2F6`?fcfy@#kKm#sW2@LS=Jpn`v`Iu{N<rEoF}ma^rEK`cRi@E
zGV;C8-Wdeam~lPgoy1D2*KGqH<*7EIQDuD{DCsny|Lc^1=b#on-YpZ8z&(inQRK;K
z@I5lq1SK^N>lO<|H$-IhL{Io`rCFFgOHz}^=?Fl#O`oxm2DSKh9KIAbmH=(fk!<_m
zOpdH=mz+oVv?Jv(ZQlfLUm>+%hb=s$iG0>2=w~+D(toe&dwiO5ZOlWa9?|SM6sKAz
zq1G}D{cwHzc!lJ^A0BVRL=l%5oPDTY%0uGMpGQo1DSdjctojG3o?bL2S1|_1A(O>t
zpIS0rOf{cz3eHD9-2(VG+>CHp)#7pKm|@`Y);RAgs`4Yk*mks+*;IY7dLNPN9|krS
z(cHWlc8IZ=I+7q+Z@uFkk6+rl^K^nu$j-R8BY?{qV^-!G!)FSq{)6uJ8!~NtUzWI8
z);&(a2CjZt==8c_Xs!}*h+0qRZ}uj$8VZ_xBAYsEi%u=+)f5ELH;yug{n$c%=vHZT
z#bwvQKEqq`jYL9^qC|&pYwR@8Q_ps^zRP`n=}(H7!smySEhLSJ=ZH`h502}p#ov9=
zDolaHYRJ0D;x>j(v3W^toR8q!qH2n`(bsd<xHa1D`-fY1`G#Eo@nh!wQ?B(kuQKZK
zT6ciIT=pAE)UsRUb&SN+wH5&y3X*c#xg1bC){jKl3DYTdZC1r}J5RmdZI;=TMJ8Cm
zbinh~9)#GKNe3aj5e6fqi9y{H6get;2ZLoC-X5S#Vf#R71jC3DGRsEErXEf>x?oSZ
zUv18x3Yi;ZqhRX6d}5H=HEMXh;o#>hc=t43v3-NKov%GGy)<%6*5Ctm5sXTqLvMYM
zkzNGCuzw0g46OoYzp8U{DV?32PbG^30$^z5(t6RnbQis^p)ZnI^>%`I`Kbg@`LCJ)
z8smn;%{Ra~q5)ENS6A1#Z{J4sXj_E)ep)3!&bO|GMdgunB}fM*7s`|xnt3g`Z9^>f
zxhObq#zWj5GLE9da<SRJyD-nIG>AO3Z(%ww;WqhkDCoMfIlhVAoH(d2)axOxD~2dF
zD7~Fuu#=p!`#Gc78rktB(hBjr%-7<Z{bG|9f>79s_1WXq#zEx%VZ?!To{qO^Gxzm&
zeccBwa?CRGi*sU;Nzs!9ehMR69H_M8eA_GUe!eXG(nB7y{;NmXURM}S$C5}yTof)o
z@sCfR#KI(|*lgyAmRuJMJlCYmJBj@cSt#uvl2C=V{l-MY1O!pVHPwPSz3$~g{2Csw
z=xrMtD`5%M-}+IGaJo-!a;~*K{{HRZZg&tYHR83;Z55(%NrZuoukvCXThu#OcAHoH
zeEOyKasv(;Ly5T5&)1^^hdtq6;Fdj439nMY%dEUP$#pD0jB6(=p9pz^JEV-et(Kd}
zq6HZXzSsN1xPSUsY0Zzeq)iH3P+Pht@ueDfnl7ibSFlTor0T>T>aKM_&w#cExe2#D
zhOW<UIW<<63#X}m3K9{6nUX@QI)xe-KOMQ;2=`O~Ip7F{ST$t(L>j&FGsci6s6)m%
zxS<E<rG>@M8EZ!82R9CFJ8jl#?Vm`Jw>F5Sgoda~n$`~${=Wyx9~}-olh<L6eZI0c
z&NjG4M$4g{r?a7vQjm6Bt?Sj3<y0_r^^S2B-qo#q%0;<lTE4xrArC?SP>v+jo6*2E
zYoOD(at3dePhzgq15;O4l4B6aXAW-14T&W{xEmeb*xLyTqHVuc>>{HAxOTRVs)}CE
zCf#@y8U$ufoAt0RqaC+<cL)o2#4LplWUHOEV$yn!YJ?6bJVIa0JxM2i6NvS=L;=65
z5X&7Zj!T#o>rra4Ult~9Xj;sGCmUCOt*C_$W8pG$)D9<o)VgWuq&_1~tSwA*5xt$N
zS%g%Bw^jMrExycXO4K3la4H~3AJnAlxiP~d^IisEWwDT)A>tvRhzI*U{vqRv!Er>|
zy=qZrP{a@v6!eGGsOLu9(r3@g!_a$8P|dyHGjI7nePmgH&G-QNJ6Ae(?D*U0<MhbL
zOCcelVEl*N%CjtC-}{uWU}nu)kqX^5Hm^(Tpx|I!eh3ed!?4q3n@keZP5D(zbTk@m
zA1Y8Q2b>h#Lf0V5QfxG=EQPU<--plQ&gu1u>EQCgYU*{TH2i@2^N>0avHR0|k^X$d
zWms1HxZ(~`Kwvw5eVY!3WwfjczubgR9}Cxf;L2An7;n&iXXyV}o{w0_Wd6=Fl%5bE
zu84hkgdca-!X1<9Gu+-nwjVMRgcYlk4Cn6s0VyviL!SjNn+h&L07{i&0zWmuUJ`CF
zZQ9)jf#H}Aknv>#8VoPp;CQ2?LK%iIIPMtfF~oF5NiB<q6xGy314Xyi8_hUw7tO_E
z#=U8F4(+?1uvQ^{WB!eGc07B(kyE!G5WQzz;pfOA+{Vk-*O6ofQK-n73u3Z!A>IuS
z3J$dP2C9N|9LL`#*+jB_M`GY9SDNvQst5py2GB4Z_zi9HCHUGhW7_^UAx?=)EKukz
zo88tk(Gecep<1q&pg2+x2V3>;h!ZP$1IS~pI-eVZrn*{4Efv|Ph!AsjQzH45L55$C
z_v#=&_Z@^}kNP+>yNThVoD(+wWiQ2medi=HLqV{<RC4iz5{9Vi&zHGi+wPtj!=#7q
zf>QEUxf4;>0DSH|2~F+QT7VS6i~Q{dpKd<F{dRVlqW92CkuhwyAN|dgTSeTfCOaz=
zkI-c@)<&0Rr+x3oUTgqB3T2_(Zb@Ixsu70@jpFkv2&URpFS!kzxwCFl-8peoHX1!9
z5(FhHq+axM+z}q1nLLTb-z}r_BI|*-Le6P*2jx%uv|Q8sN(&@TGl~xFl*=J<4PDl(
zX9P8R@cY{N!qr)x_IIZOAl^qNSFMqDW4Lt_th;vBf$>ZQyVj4W3=YS}t}|Fi%WMPZ
zE`q;DJVriT_T0%{3WTidL~wI7Ze57TqugoW>Wr&Bn~(60C{(N49@S717a1(mvb&9-
z@vL%ToS*($Z1w(xKT;O2V}sr`+q6ML1E_H9NcB2{XML2^)R4j}4)H)3x14ERkAnur
z#yGy?u|MUS!_J2Jb0X4^?(bbrlzg@sw(tEreaZZgZHW-RgZy7M*kO$vOMMVs6?a{u
z{1RvN1WjE_vc8jnfzdEgsj`Vl9Zu?`-NmX_4t#<VKY)?MpqG#4mc2u=k~909SZZQA
z(4FBch*KKkJ=dkkXE}m=w6Vb1PLD9(-8-ibw`AXe(kG%szZnJFAne;_u>Z@mE9L}n
zuuUw0Kw8DrLeJ<+8YP;n$i_TN*Gjt?tM5sfrA=M*emRUkCb86PDr>VNTKGMdrsu$c
zi4LeS-2idX;amJt+oHh-manQ)197uj@rkGV$M*v&=*!M&{*M<I*>ubS)h5cNJkD?x
zks6nbSqqC9d+BQFS=%~KK)g+F&3rpqpSqZFbZ3%A=VnZOOTi71X)^);oGGoi;L0p&
zU~Tlg^U1u=$OLl@Mwlg;)Tj5)d_OO+PA7+k+Q8Hco-lM#+UccwUJIp@lx3R(ENSy!
zOGc09`BX<dKLT`RHq;&tcS*N-kGQ2}Sv4v3$StgTmS<YFTG`jvd0b}Ryaj$L=}zsn
zS|~H7_0eCyuJs#Ox-n>_FMtK&Ml;s3W`Q=_KUr0N_pp=ednYZeCGR3C9F)l#vvFY%
zq_wfqDXV7b<l;h7TYH&RvbOP;hoRw{ov}<*Ny)x@m$?c(G7tz9j8E+$e|q21rAIeT
zeGT(kle_O0+YEY3E4+t#$~%p2Fffp9^!f99T=nGnZC*VjY8~u%HcIF=nt0-<TD8`O
z(Fj~Sm26XAs!K7vk&%&bY9~FRJldx%QON{;_Ax_Yv9Xs%`@78(IQOumjN7G_*-w>^
z>hIi`fISV=8F1}6?*1fuq>ioH&sVtY{fB_9Ha(O#`4dQ(7xn5hiPFk@#H6`8c7p{%
z385SiM56CGn{zfq&}PZ#E)CzBXs0;Kj2}r?l@|Miq+!Cmo2uS9GlRotIl`$HfS6s%
zQ5!X4U}%i=SyJQuDOHM9{yXPl7l7Z*7s)+C%b2KRIQG{Kr*@_eQMEO*!DUbVngrZh
zn=TAJUO*`wZH6W{45cThbOlJTa%}R2LPBH{%?{i~-&RT3<ytJGbdteUbCEi)9}eCk
z+JHbyyt;rN@d0?OD?WD#!*lD+lyXFqZ6#%BFQ~I<c8kq!ht7Jj9>FcgJD$|%RTn<@
z`g(|kI<FlL-Uwm1NhGZi<cJe`E)<;zCwxS6G2pECV_6V6Yr3S$?a-Jh>urLDD~>8t
z=Bv=abPQrg%+wKARMZl%1HQe-k_1x<JI)!nOj<05Rad}K3hLo1__fm6cGWY985EJ(
zqS~`^28We(z3vl#dv4|N$h!dFz*5>B5}eECwrGDK<cox?(19lT_<NE)WBwgHs##3u
zo{JU6<sdde6~4oO3uBB;O-~wpZq*kLo5@xO^$uGh`Ha=bFeLoe+Xak?gC0bS)%Pg;
z2*=YUm0({K)e$3MqDuk!zEz(~=%rww89M96SYF-y$idS6!j{8*x5E#dD-Az@<oW7U
zdy|ZGyH1wfdIM!S8jbGuN{5MJ@a0lupCHrsH$yEU_F+n(NSs;4;39Beou4LWo#>XQ
zYN3S%5~U6GU^rD1BC;d{!Y+?B(^ylMI1S@O<iabZIK9C$h;Cz7ZQJ6aiWs%HU~OhA
zR+WRV-}TkiQ|NP-y?WjEhG|DOHB4Tvl$<gZd?ONYBS@ZmUdNR#svrltDRsvfq!XQ<
zfcX{`{XL)VDvvAjyTt+?HkVg7_mTLd%{`59BIE;$`lMLQ4Txin7oOxC)PYc?&~c2W
z!?f`DzPXBsA960*F*Z7BwoAvOE8vgc_aMk#cVp6uY6$ZRD4L=iXmF#I%=4Y*aj~We
zlkU&4)!huL=1cKWwl!jorL3v)ayJ-F2gIjv@9P~bb|9YoTy@9uCDx@?GX(F2tMhqL
z?Tiyf;|`mxcV^pNB>7w)`V`}D+VOP%f?`=~v6ITAnBb2P1ag*`ZO#AGL5j8S8$Qng
z6V!9H9DoA)TzlC3nE5q(T(*04MRxn@<{NA|lGy7!gq&W=;LG>N95OnLt{^Lr)lA#r
z3ZZu-Kx7YN1ko#c&MF<p*hVsWaSOEN-w2*9@d<I*e63l^2jZ?0d&WJ&DI->jWgDUl
z*OBhUV55|@p}C!^N<D6L`2tr;f#u*Ew41L0G6iWpaNC~tIzuDS=Tf<e3jikJ%XNVS
ztsF8fwx|SKqgu-Mt6VV8nt=6!5=c`C-8t9*{fGZbnra2iyn<^C)s>asK7~YNWDwKF
zJtbon2$+S2ba-8{guEo^7JLnL$;{+;>j%D3Sml9Y{f%E>$9vG(wRhN$Jo5FE>_VfE
z_(<@&($u&uo;M};4NS~Zofs}B{d<o6jWg;~TZzaIAepd4#kv*!jJ9TcA(p->MBU{2
zt)cMQ`4&gGklG>?9}`TsGj-i`-lX6X`z!zBW3(>KkXAH}$fiu$ln!L%LCdu7Ycsr1
zG?xue+g6#gzI_$pAJSR9oCAIHZL6>NiR-r<G8Ft*(eu7SvXlieAayUiQe2K#+h3NG
z7C;4>jI%gJ?<+7m066IO*U))BKk_JJDhefNR~8m|7q*C|E(yZt^xU-raULg1l6cAb
zle_!(AV|Jvmz@=UN?6K%$q%Gv&NRbsJ+{4lo_=flO|KoNy`cw37Rx7sQA;mqPp;$f
zS8>|eGk?X-EFn5rZmCD@ue^@7OzTwCB0#DB6o&<E(yf@{s8*bw2{0Me-2GX5<;qJU
zW~rHNB`yEQC)=_<Hkr>zKaBMk3OTum7sJJe5wq<gE!n`Ig9D=CEErM9OTNRwzD2D)
z=ErEsd__(%hZb9I*U!~Ly1U#-+^-oChg~IT6&$DbN%EH^=cL;RPll_Y&im!iHxF~V
zBj(v?1TWA(ae8+4_#nox5Pdm{9?{Rq`-7L@1-EB-X#mGdhV<Oe$t>#i7R+Kj%Z<MU
z+ev^->!v`RmKd}`nxuIEi<4l^VM!`><mV;G?M{s_%WYWRCAM>%E9jcF_EP#z>Gjkq
z;cV1w_DF_uwg}dnOK;2l9MiVj*L)Ul#yt6+*0VWxnn9Z}(BYCQ(@$o#C1walfZ36O
zWJ>c&nxv={MT|Wl8V+CbstdMrmd=<^ButB}@yb3#-kn@zZr`YRjNPxW`I&LN*|F16
z#f`p;>NfF9zNcvM>o?nJ!Tu!xtHbn}9P2dI6^FF~jf%^I<ppOXUrMVfY-^;&lXgcd
zHh9do_xA&8rLVl-xrG5TEG~gO`Nxvo?5)8M_Gpa(U}0R5Ue;e8s(&N|xNcm>G|k)E
zg&N_@zbR=%40|+61e&7}14n)0K#AizcabSUIS^!meV*2iNE-m6tWG@3tN|3p@BK;V
z#>Tg%wNKvJ#HE^7{Tnj!??1e}?!!2sa8Ew)r)`j5Pr5Q#MivS+J82(eZY6f|`GD%w
z+r*5`R;8!>uE?ZY`{`Tu;B0*B;>c_QYhBaQchPy*ZIQ{vjNh@n)457=atNQMh6>jl
z;N*36Vxy;<b24pAUR%<MBoX}-LqQp`WGk_ael((8kJ_jI(XZ2Wh&o*9EKBsR!~{;~
zGw=JF;g8|pOUuJ8>(SU;kBHq7bh?Mn0|W;a7F*Gs_+N{DNNeg>J&qVwtKXa->e`*H
zMPaaD6a$rwj?}5C>SEr~<eRTnQR0>91+Vjiq4|n7kKY9RNSjeh5Wpej0aR3ZQEY~N
zo&q25>SLCP_Sy2A=(kgh-W4t)q{lAwIBa#io-E=jR+|cnXbmI!DN98O%gIclQeqS-
zy4An+<L-t`wxdgEW+(iPWxvw*qnfkvBJ(%r#15;i*Qr`L;#t1)jV>%)vd3Tc2&<Rv
zYL1lg*LQlz^uB)hFDzLq3iG%IMJoVtI1Va~h(I|rI+NOv9Om3igjl2BzBL=`TwF}M
ziBIRYe(TkWO)D?q=;-)Y;rq!BivQCoyH((PR92s^Csa`$P3|t%e_yTw3mI~tMZ}id
zMz1oTj#kW|7>_NMaLCTW;=xi9gCGuhlU;d0567QzSaL0cB*X>VllD0vAr28Ff;X#m
z)dk#1YQ68f8;-<Z9cHilMtc1O{cfvDgz9=I+U<tU5ac*;$})>yk>GQ}z==WDaTg^+
zJH9{~b$}6Ek?PVRf6~)(zW%0-2RSE4=@~LcxPR!GTb)K4Rji&Xl_^!YR7tSMY3q+5
zr<rXqJtt`~hY+n*D;@dDXTqtGWXD!0)~V}f*n5W7N8zpK5@)_JX(O}P6QRenU}f8S
z372K?f(&G%^-L&erMdHB^|6LGW<j$Ky(Pa+TKugGU06`u=TE^!dGLf>rO~RRK*XXX
zr>-^`7}6S7BAmeSv2dyq`_f(aP8Xx{^nS<kWt}2|!lyqnhwygi%b54lEya{&P?KiM
zCK}_>2<J@gI2i54_dotD$(Dx*%{TfYB)zf<B9tPW;C?4jw#YeAYalmMRy=N_mM{=l
znkK~e$d9(ly#i%<QePlC_hM^nqLD}#X(w1R+^M7~EMi3G^}tmr`iyF`#3>5lx|sOh
z{9?vro@k$AqM<n251&bDP)EUgumd4U7Q{bhiHI8Ax{*#4n{n4BfUfEPqCO;UM@CGp
z0^t_THs%&jQ}#}UBwsaY<OD1_++U}-B!*vHosiM^O=(i<tB}#UM~C^{I;HYmE(>e-
zkFi;U9}H;p{umz#7Yj8@_|mvc$MT|i8TL8q)Fjbn_vS>t@_oyuW(-o4B55<LkbwJn
zW=KahPAxIPIpN;~)LXnUW%p{k`?o?*TEDp8U^W$j?H!b?Qc5Do3$jscBzcec8RR|6
zwF=PcwH@!m3rz}Spwe^VW<eP`QM^9Z`roPgYB8@Bry9B&ajh^e1{-?CF`l?@ngq<2
z<g++nnq0A$xV+9XEchR6?=GJxOen{<Doy0|^11dq2XpY0(}{BA1M{g%Mi0Gm?<P`H
z>NZ}E!BJ5NRGm|HSK`o)zfGyXD|jiqyv&WkwRf<FhCVg4Xuh0>sA{JfZUrXBByfOF
z{keutrt2t{vL=qW&erlaP192B0|4laU??;;h(SQJo+wUb)_hm`f`}2;oFSr7sbSs&
zEN8Q1ke<GORR^?L3Z%L|25ZQZ2Y&p#pKB+qrD9+inp93|si`JiBQ;m3Hx1`m%z**D
z8Mzoi$_$C_yuA3zR%OJQKUUb&=tw<NriLoFrzRdfbRhI0U;tlaw2`5oMZ+KI(x3z8
zBGISP#?=d!?mhdRsS2Vp0=KA*IQ1YsT~CgxTsfDUg%(+~C820w*(eOA^N5vU?*Tkg
z1e6YHum5xVW=NE4B5CVw$J0x8?<PS~yhKR06?@u^4;>{v^5>P}-N_09LX~O%kY+*#
zHG@TdSsUA~Ia3+I!eQjb`k2H3ggsZ2g12X^z*wG-SE8j$j<Uz9*fa;?$S^N(X6p1m
z*AS|u6V29tDH2jn|MuCyLYZWAKUF-rX!H|@<t`V1L;V}+nRovw`<I8SD;I72Syq^-
z@BC{*!Z(bJCD5E-gbqKQT;*L{8?Oy|LPT|Sh5USg?p?;nBXmQ2qv5&F{<yZzngDr&
zrt@xhf>f|%(8(!8t==Y(xgaC%jBz6a`wJAdXR=@Rh2x%Qp>hF2sWUEl0+XKyNSba{
zkQc4MgG5PAC&-WLdV;MYkowi#NvYU*`76nK@F!W@>;dl(Z*#5LfofR96ra1y@ybL1
z<^L!)BnFZel<WO4u#&<%Ov>m6>eel=;@R{jkx#z2KmGWJybfCL@9svpjf^EZ?b9ao
z@pJ{u+g<9M-ieY!M&Sg=AaYlvbb*7nf%MEw!iy~2c`*y~-My~GIXoYPi>~|N=}Nyf
zP3;y>jH~X7H;i@0ZEu7Nw7X~P9wsUiIDTAv)BR4%fegmaH`$St>#T;7#|A=Ms!1T1
zqg^@i%u3>FNlm_0)ADpVM=5ph8R_6r2Ax!?-hUXj7u=LBne7jw$98~1Y20-eV6T)J
zs|-Bx-*Kr0hq1nhFUDhHj?y>yj<!!z#_qKskipwV0%kq#?1Ob;_tV!&sXqH~MwP9Z
z$9@n?+I@Dvb*BqDGsev>q3RoTTQZqZCw5*8pZJ0u2IWTri=VOi*~6yLqc&<5n3+WK
zF1eDk7j;fl7=DEaAmwdmmuJHX))epZo8q|gmWB?@K0w_T!q2=+4WzR8*ghG03Dxvi
z6B!KN_PFany-g9xIh|3HE^7nwqo{ys;e{&Gct!{Lo4ZxajlM4E%kt&@m%*?TZ3ZU0
zg+pShX}qo=zzSu3QU?ux*Zg|BJJ-f?{=+>EToN!TqegiezsA}j&T2$l`CXivF49;r
z*e4}Bf>hbh;}_F-2Udi3e%bYe3js}S@k?AxU}7Rc3ioli5qRv$@OtBk4?wz0Q~?o^
zUsAwy=#_rR3Sa4RyjnUs0BqaB_tQ-uudZ9T6B4i$kQ@xe5A&uWbr?IP^cWj6$s|4c
z!Wn4&opIp)(TvRYYkX*V74japRe(V*g2Bzu0?%e6CU_-w(;$&wH`$({Xq;Ycz1@N>
zt;Xe30trDWR`V;85Stco_r<9$oMW8_;u!Bp&lG!^zR~wTUho^Y{a`9a(+Qpl0QbY3
zY6sldP>s%fkkgS<v6>)$i#OU|guS$WSWToxjIX}|r70|C?wQrXB_YY@BI=gVBa>@B
z?=6-aw*P%E@2)c+@O6pCz?lfu{O!Q#*TfK$l2x7~&zOB5P{YdcFJ1*H|Dw@1VTtFH
z4%c+VJk6O!qqGj(otQ_`_=YE8G?j{&Y<H~ia&L)bmuhj5;Vo-`;?MLLCP$r$oOo){
zsOqkuA)M=h24X|WD`-nI_L!HMk?NCY;g2_c(QmqwXC<;YL!o;BLb&(7e=V@ir&v@*
zwX=4>*g(CGOG-W~phr4&@u0ibNxq`1oH}r_Ae`VF2vY}UP4jjB3mNihtY`v2hD;qm
zf9b(9WLZ>ln@{`!AiEe^&71Pyoo0|kJOU^?_w!xMjEszl4nIG6O}|4I77V0`7B@Qy
z2?-ouM*IYbAB_S~Ed{ba8LQ7?v3>&v(-<;?C)bMXwY~GW`_S*50_A-tyuaRE##)7a
zJQdqjZRnez$ef%PBjI>@>oL~8hVJ$%Mv@;De#eXUg@=xlta=+kRqUB<rFRq`QUUXH
zmE$DNfp9BP?3Q4>^8jY@C2MCsu5zVEk2g=|a`Yfw1xy>}*>whX02rAC$!#eDy9Hu+
zHuOQg%@~WTG!s^OKo04ptCXtdB=6IzkV_XDWOlyYQ2;N>Jp7ghB||*{{7$5VRFKVV
zOubZ{hxAUKOdRIyDjw5?c#QwB(sq)k6krKKC-sQ5o4>^27O>ZN;bppF1s>^IV3dFF
zarp~DUY<@@BJ<1s<AQpdIpHhb!@gWvq3e`iv5A#N_QLJNEr$g?AYO&^xzVl-N-a!B
ze!KG3?g4FLGUXMF-%TX6u2m3QjydM62okO2jfi2TBd-(o2foc#u+dV^iMm|}28%8v
z?%^K&u|53B?N5}=2!NsXIw$7Nslhne#yz5Kl{DVum!NKgg!x`l3X#)jcys?kJr(yD
z%Ydyn`(2ZMS83(RKeJ<-Py?d`Bk;4;K<ZoKHv@g^D837u$r?Mik+cErE#e09^BvqB
zFO~D=L}|L}fH@;6GseQIw)P+2CM~y}-Gj9y<v;$hYKHK3?FnPs6k)@r82wXfTD^h0
zjycML%~`ho9ICGccSl*p7a-;kJRq(k{AOj?eaaaY<~UFS@gHdpIN4}o#R_mUc-WO<
zQ!)&OjkO??>8kbBDiwCbIEnRvatVelvG8X~20RhUTAI8xq41(ydflT|+SlXW!78}l
zo(%DTNZ{HOFiGtSDzy5N_G$~CNuBFM(EMDTxVd7=QFZERGom;w-3SAQDa!TAuYeFA
zYuQEDzeto4k7Zz#O|4ab%)-_bNvL|@+g^0R<7LWJKGyd2NK-;$h{pbh#;f}!$eGXy
zhrpa`aB#vO-u_4kv-<`|`J-VG1~HNR!XxZ?ca;0_Z(Gsj`{HP56!CtIqBD_uJYu5^
zJ88`9Eh0MYpi9cY(nC|7z}B4|_Gpi@6NlMh!os9w42+^5b@6=$F8e$4^A&MUDNcmr
zAxzoViATZdcL=#n;cwuqk3Vpt?s!(iEBLY}p0~K0!SOEjIP5c7tFt3pCCTk9N({sv
zcOF(+NfvlrBRA25!qApOQA6>JAd422W^;80qfAFHvi4Wa;xCyh;c{2m4tEEYp@J=V
zp<GJ_lr0J}XP3Ww!!wau_LZDd_Q^V5wSWkm2z?=Qo1Ois>K)!3U{`)eXT<LAiVYX3
z&hcNoP7gkNEd*X*+5Vwm?8>Wcr606@ULwDprf{!G(qm^)2MjJEzKvY*Bx0BFj<~)3
zva*w(y3DKIvH0qh7r1*E@^bnTg=y04Hr0Yi5KS;_I7X&DL#Dp0`HzAzzV$9~yB)VY
zvQ1dG&A11ZQcWKC0iCgpzB4kv<Gv56gJ;_fNPdGeJB6}AYH^GAfNuZ=#{L#^-)?#p
zi7*q)&ToTr*OFBv?)~A#4-=E@oO}dq<+txF=U&5xocHCJ)YxyH>n?X3tD2ji1_Zs~
zcYeEbRU8kdOfMQ84V4XwT%$IoMqC%~Z&)0e8?1%G&U56yIRACM%qjjIj0;u<aIr9_
z87*Ygi6IV$rs^J@{zVO|YkM};w94qJhMH!mg-G)TPyiG5DcA<$&vWF8VDaJ6J*$fe
zK!P;TlOnkh#vXCbP#D(Jn`xpmUh<Q3-lR{k(2bv2)}Uy{W<`Ess~5!R)rOrv{(uCg
zc^}CWMzXahuGgEv9}fc*2|}Hq4U0@d9w4>!UoInT?qhG@IBclu+s?8@Y~+y!i9XAL
z9t4MLU0xDCL_%Tec)9yX{IxuDB67a)(oi@T&-A~%Lu({E{7C`^FJ_Q<VLnP9vQ-Du
ztNd8tyGH-#TIa{60<qz<-d>4!HjD4{zE>O8$t1G`<KJ1RD~-PL8!Km|pzz-UV1JT8
zkKrli#}BGjzo&NSUL#Htq;zDp*@f{Hnb5sBF$syodglvyUsml#4B*bim%KdcE0Ip{
zMdgz&Fhs~!!?hz4_2-%J*MeTXem&}OMx%*)YWtN{vbm4mNVxAN9ii^-t57<&dtC#u
zIFd@7CoayQjQ1}tn$dfk`@|>P^LL(9K^;g^BSl5Ky5hkt{!}G81V%{}1G$Z@XOF8k
zgo|p*p(5n5izK&3<6SrEY&pEvvNPnYlmP(|gtAt1JtG%d7<%6uZoMu;rs`bg&B53@
z>FQmw3h)sJ6OAww+c@9!jZOWzR+<fehI~V6bil1ZId2_|vhS@wkyF&*wA(dM^>hNm
zUrJ$}tsQ8eBzRMlhBAxk2jK&0b8jbKv!XuaxNPbLJ}k?I&m%;e55O-TQL&5_p#!zu
zQ%$K|ZX@<?qxR)alSk990;>9kGL(ZzDwB=JNEz+TL@bDAhEh*7g=R&la?~1w?<2`8
z3P(nNf$OEwOINEfF(-B5LzGyM_+?uG%jvqcKIOkVox?EVyx>IJH%pEyN21Pc84-R4
z*(}}{;;FDeH1elXK`UeP9W@pBz+{`*>lY0`-X(uZs%%<G2zZ3wg_A{i2%=x^c%Rp3
z?_^2pF)|B(g)n8+z{LAr(T&-@j?O+TGcYMcF!3OGj|#s`Jg~MC`t6Gd6{3%_jPvda
zDkE1#fFD%SxBxGKlh;42r5fjJi)N3k9$Nown&EKp^x(&*t}B)S{A{n#+!%zVvG_0V
zn<!!iaMdsQf%;o^2Fl*m>yTjzQpx-mHyD1H<wOWMRpH*c3a%Qk=jkml@qGfd7wn_B
z(lnf3kd?C@H;S^iYT=Q*pcmOWVyE|HLhts_zFhU>>>C)6iG`i1$85|o#3kyNbABsj
zcYC5Rb{b$Z^<bfo+#^BQ`dCP`itprepYc0J26d@N9W?Ik3S*w?(wkQS`FdkLWot8V
zUoW*Ruvoo!yDMbDWh+Qm&i#%taD07vuif0d6wd!SI#!MnIA(`wAxSo{B!V4;{?OO1
zAgKrOMMQNwA>vaF!;ZZr>{i!6!aciHZ*#%RuWJaZo_YEN^3xdT@ll`YBi<{m-TayR
zSZRUOz8}2YZBw10-|FLu+*N>QG}&=DQS1to>KH`iHGvBZ^mN6AIn|#zoqw;P6J7ov
zuKqHr4K8XMgbNfX4#nMyyIXK=DN-DYTXC1*?q1x2d(q<Vw79zj4NkD)@a2A=`DUIO
ze&io33)VUN?0wm`lUo+`?3_Sn^Ec8#N!y8!5L>GcSiwd=w+bOiZOX4<L?BMW+rz^v
zur&`JwqNacSfK&l8;xfRJa<fS;^k$W=zEMa0m-sLR;0fdShL|0m5)h_1?0^eYc&b~
zR(YxSzq1U5t$<vm912j*%jDl58zIE;wM2nMvqq#X4o|BmL*%RyHC4l%Q;!e%&56jA
zg}^t_6jpXRoq)HT1GpX~(Qnd<@eg9Cs(w)TLBP#ez&o(nJRIwV#pJC`s+LXQKmx#N
z%YsfT-ZmkPpMITx#g&S-_8qzO0a>GM!U_xFfXMwv!)Gwuph~8{0)_}Wgl!k<==ohI
z+d4ofo#ue795$QVqmzkKDF5)>Y4j84<<tm{<Va|C6`*F?UgN7^Wy19`d|%4X(7A1M
z-Szg({xuWu<00iJrcAP<?uWmTo2?omy<W6xBCh18J=cMX-=Z1Ut1p1ay;NhZIV8Ub
ztfA(Y@7Nx9B!-YT%X=wh?41oQ6U$m*P65@B&kJ%oCvG<*>Yri6(ZTCCt8$LqJ5uRN
z{&)a$ot>oD<Y`E317^E&MhtW$>`hrJ5#OB*lV`P8KXb$&U@!K#-{A?am~hVQbt1$-
zXL$nEX8b}76i!!azZ_bo@`4tNsxARjl<IaVQ?|<7<2`}LA-||TJ=P9ov{%CDcIj_R
zsB<2a5}2M2gRE0@7OK_u0Xer_`p*dHx*#WmRTO$uFMD!}u0^N#7rpF|B=R=Ou~ky%
zyz1Bne&Kjf&~(O*?e*IIb!&q&c2*X%D=otRV`NS7WQGwuvYrFs7}to*ELt7zCtASz
zyo1H+?-|?{s7M$jDN``lTukriX>i>|R9qZer!afiew!-eUU;$q7uN&RDR)*@7IxIK
zNzavc7NLGbSQui<IfDwwNp${y6?*z9WR9&+pCv70UqAd0?;AL6m*GUFawR;t1Qd0|
zet2^~%~8h1?NL`*h8D!6?aarc9BQ2euuO^nc%qs&;nmANxCLnQ)(xg$tX&F<sT6ni
z@Z;OFE%few9vG}7SZ%5c4J!RO&&OwM_X`=pfY0hU+w_yG*iW_Vcu|2BL^xyyGb>kD
zE0zybOn*8GemUmHjM95^&T2+v1*5}U>*XXF1#5qt1y7tQI9go^qjSn}o%9w7$w@UO
z-PP^O$I#mRa23X+)~4TSEsTHrEr)-jYn%W*Jc(>;eurS^*18$_^FNJ`QO?!#d-m~4
zWZ8o*ZW5$J9zUFZ)KOQ@1IPR@xME;*`AQ?=aQt~-8lPK1CF4{Mtr8LOasQwM+G?ds
z;!pE1EJ~788{_q>h1R>e!<@=IZr{s4W^4y{wJ~2RXTjIYq!H26GfP2HN$lwE8bS{Y
zwWSHAxgtATlI{g;eIY;n@na3TP!eFycn+9m<^PycgB@gd_9}RmTOqv44-B;Jz1&<d
z%l(cCs&6o@^WSR%cA#wUiyXYeVE3a#+w2vK*JKiI@ZHopwAT@9@+>oCf9}atbqUGJ
z&J2}DTFI)CbIF|P?{kD3@Tc0eag8E5GDgJi18tbM2)8@)BP%?+-C$G~nll)T3Gh8t
z_jR1iQQa$jqB@-x<mEDs;IV)pRL8yCp{~D!^*$>ggJU@&;}-Opp|47pnQb*l=aey+
znhSy}ES2+kW8?_|;=IR%Vixz{<DKTZS!}7`HvT3u0aAgYngFlXszgA#hWr#p{17EV
zO9D0U68!0(N^=;JYaBlFNx|IwKJe$CFYhl$UAsH!+o$xSmdjp;?(Qd0r0&oA$_s|(
z-=loC%HU0Zx2FB>omJFl8A*-4%MP!m=rel~KL=F3Ovd0TLW!kHF)cD7-P4EdKmVkE
zop8rGnxV=vQTzvz<Nzq6a6u7uj(V;dKOxduOQ^eAt2|o~wX|e-^mvqo&BkBU5g4P*
zzy01d*6(hoxE9u~#)hHm?F{Ubjwon+9(wO6cu8-D5%Uyt?kA1d8HhN{a-2LSsNBk7
zdxM)Ns8hnD!;!9iRIpOJ7p;VtKCHAwPS_Z?Zm<H8jQURc`=cHVyOdgE!O5;%O%Z&|
z6~C|P(O?AN2Q~wHBAyfOMeT_8;15y<o<D<2aaJ)%!scpzBxYXOo5!l?zAALrBl|$y
zq<IvT96tDh@I+ohkYZyq{J0l`DCR7a3H>r{R|Zi-O2>Pf0$F6k2VTYhO~SLrl*H`z
zueo_f6c*+)66NbG=PsQ~$qqRTE!t9hw3rrA8AJ!Np+-h46ooFoyjlK3{A8$F>&@|a
z<^{SY>bN*PKb_3sxy}}fkjwtl6F|0^EmxEf!Zg2szxNQTN@FIAu+x)CWF!4u2@W-y
zxz1|-W7nEapH#AZceM-nA<Lm|9<Svo>&229bPpKXekgR%q|WcojpaKy%ZikYFP&Dy
zmef@uM`{#{b1$f^_<EizeV&VEA<E-MDS{F-LpaJ>Q{ZRl5{k_K)h^~yZnRi@TY`!f
z*_~}CBB`Bsme#$3@smFY)s8H?$fyOWyp$P@{UPo9#Jwxn%Xbw`W+O7941)69^}vW3
zQIg&;apCkNNg!2Z>dX#huAgWD6Dp}!c0N}yX?7z`RdCN#{G8k_z3?W}fduOoi4@77
zJl0iNpyP`2l{5X7`cot_P+^}2pMFD%#P^G<*W%+Oa-N)jloebOFwF@y$<Wr>?MeT1
z<t)B6v;n7{$imK*$l;7KBF)kTthzSUG?<oQx{n_L;U(+%X8-keIfU@zuvIMuXc(pC
zyl$qz4;hPo!pBU-sc!HUVt-8ii&%rwn}$h&CEIMgAr+`Y!~B&CIH@U}Zn1`D3|whA
zbnWzaLq#s-4W>Ve0bY?<@q3H?oE>a__|fmmUO$nmf3Q0lGR=+lG)NM)oEu_NO=rBB
z8k|P{Z-cpR!mS{5N~4iqi^}Y?X-n1O(7HjyrPORk!Q&~-Pxy2*7auf6l;yg!Uv>Sc
zEdTTI{G?W~EwsUQ4hE~fS7p*Un=X((nqy9xD^p39?3N@Zdg9~b=cf-@Whsd<E9M2f
z;gobtEG#U{{L<z5rBe@IUtj;xHJ1<-ZR(8}U~wxjw}lCEl#v@3v!irGW)mYEm22X1
zcp&*iuZYS*9OsGk&v>IQoHLP7Vq_M_HvU`=+Wq<PF|YrcvD4e>Lx(}GaRIXgJ`;tT
zt&s74kl!EXciXbioP+1&q%iIy9-B3Rkg>0XcGnp(af-vnld+eAq#ly!mRC~Pu0TNh
z(o8UGIs!4B`@FN$AW`}^m{te#pIvUm#Mp?*YTcrhLp2t@F5I5R?KZCyYbT9wW@7Ed
z@8Co?3reX;hu%y4mzk9>scm8y3F1yypU41>n41g&RDff^754x$G9dk<gr+okyRgkP
zAHRGIdoGvR`6oM%yqMgR(q4O0?Z)3Tus{nbc(EIMJ(Jz2B07e*tD;07SC+KfS~LSM
zisBN)Y0f5@1ZsqOyM5MEXa<63OA^u62%LMI1{DJfvJyG|l~MyVXW{4L3HSkdP}CoO
z%XNgy{?u5Iw;YS*$swbY4^;q-VRO!Cdvu{{xzmyu>Fy*Zt$MY8rh>E`BQvNi+t=w;
z4)grA`17M<Fl6Y)>|AzlT|7p_qyro1OZV?rb|@mQkBO=_GH>+{Ok5b5KZ`x<){<R_
z1PdGp^V<adB$S;oC~8Z(&!LP{DW>$##fdG$>b$)F_jyp3LZ)#`3rMLGN=Hj(Qp3C%
zN2gjIW8V^U24%;bDiKoUFORyc0zfr_$?tRaW6J$@r~m39_%bn-ueuMVxk5e#e`)`~
zVEh?*e)i+fS2?%|d6j_$oxf0hy*3I!KSv7FZp=@A?g>)D#k=s-V7%f`=JF+b-a?8{
zt`UEF0AVGm$#@nyFpJuY5D=DrcZVVGC+bY0=UybY>?7@a{?v%};i*G}b^iTV|9@HW
z22Oh}8Sj0bWsNph!xsifBqDBF>?W_HHMjxd#Ak8S)wI*?S@5k=e1e#6a$rrPogb;M
zFZc)FdwN>LPvh{Y)MjP#h!t@H>~Rm=Yc!d_LKy1)wvczc+#2s9?(=<Vk?llXTXi;F
zXEA@O?5<b#Ob>pI`iwxWx)|oS=HZkp1V<_`KHy+lB+wq$AKD#X$EO|kD-cU_;FyTh
zoxkwneX0)YU68MUXD5NFDP(o}8#oB&JPiut^Ts?zZYi0o%e~kBuC3G?yIpPKSO6yk
zN60;>eJr?&Z&DoagJx+ujO`M+ZmtRA_>d`3<yckD0PEkGi0P^wq1}qYg*E-+IC-oI
zxxH#!v!qLWVH%3Jpo-)lzBkj0==+KzLTs;T{FgI~f=_#r#pReR5tc+J$FUfL0c+h3
z%xTI;aTH2y`DHbzn(bBJsa`^$IqW)W@&?}x%9*N)46n6_#4X6ymu7tO!kS!>O(jnB
zI5l>-phiWN81%IpkvBUrSs+=er$vX;oK3h}bo{<ur-DM;SOS9%)5YMw%R6Go+1kpz
z<J<Pr^J>}aEo8)R%pZFa*s~s8!4F+2`tR>^hQ}|ZXBtiXbodV=FSBW)R}Pk1J+29w
ztBs-x5FQKgn<lE;3&-*+GS1G!elLM`l)YD6-lF``032$lzw^RrcF$4PKdhtXg~Zgm
zxA9oUo=1zFolfVc;oQvcDTvDzNjd$!vyF|X)d!P$!Cid1{qevH@cHzxSeT)J8f))=
z7&5|DHrTupK-!7LHrz17rfLwf`f*m=rD|Z;lB+`<01+~XwOIL3rIM3w<+zpDJ!30$
zM0#tj+fcsbiZ{8HWH+!`LOw8z<H4DNKXCm`QF}*H=)Xgbx%imJ#t&kuo-yy-ivY8|
ze3MUFHA0-X;z3WR4Cnbjhunt9^u8fZfvF`|X8UqGX^?-6vpYVx6vIQGL*Y&KvAv3-
z>yMzi!fHGA0miDa5pbyaVIg;8nRk(*9d(}nH#7%dOUESa|9qqdXfyKxR8&+Vl9Sa@
zroVa?rnj(s|EWO_RF+1cGl0M>YF{5<(Gv17CtC*RxuK!qxbjnUuTbhNbbWO6xUA3B
z+bC@RziRZR5g-CQ59-u#40Rw4FKvg1;x%sb0s&HvkLeg2Aj%-~JRzbT<M%=ZtjBj`
z2t9|tTfNP%0+6Px1$R4rK+p{UswfGO1W4ujhN)1p#YE6&ro#%p@dIeigJ~$DMiaNy
z-dSEhhtkkId|P)Gv3L+9?_epJ(fj>`tD*$QyrhIGQ9DGs1#a2T4teL|o=SiXy*4kD
z_N|_h!eAw2?!0JbY4bz06vdu<r3pBPt~Fa9u;j!GLS!2ZJ!nr%+mTvpz*+aWkdm{k
z_sj^Wcj>)m<}C&gehKHB3AoY#B9ry)BE$We`Y<xqNM*h$8s1wyFg>b|D0Kw_ehDWM
zbQGc}_5EA%cx3%SYRN4uH9Qbby7J(b%WKF*zssLM_b)Z@^RdW964rT`<M5==hOr}~
zHca&z2KkjXZ-fY2XDudQH^miuJcEv8a|KRxG*m9bd}P1rFVXOx6j|?d$ECQIE0lDX
zX8eo#xg$9^g%?W-QHf~DKBB;Z!Rb}&Rb?gUwF}zW>Oa~Mt8ERZ(Bp&Z$#E{%J42@<
z-Xi|kSdK!AkJGx>{Se)5CGNn_zJ<XiVy*mmd%BDpd9xX~D*`c@LnUmTAPW9l<YR1g
zk#@Mej)d_GrX{P^!KQezh324X{ua)tw@x42n8gFhUr<I&B0}{$K69L2U8f4dDQ$aA
z&tjHWzqkV@`D_ycJ0vYe8EY<n!#g=o5%Df0$>GNXY<Qp0AiKet4X{d`KF2?hVjq!|
zt~vS1%m33ytoYE}?(%mafx+{Wok!p6Wi*B|frxH+Wc_Y<I}!BY04bq;yu*<Q<a(cI
z+;NRiRzR&P-M}@EfHaiRiAjGoOFC*Kq{cwRPRy&A$mz8(@3*q?67-Q%6)ZimjyaY<
zCaL`F!Fs4B1Qv?3Nj%&S_8_Rl#`fW;)<8qUJd-@13*Jcf+E##O#l3p04*sD1XQ)hQ
zFsw98{5Akg0Vn)8+6Kz{(U=xp$e#{w@4w6pt6|W9u)VeZW%QUaxPb5){amVZGDMg8
zOZZruWWY|c#g2B-#8ui<G*`UbKZA+ij=iGAf7V`%B$fDqbyDv!%{z<rCMd@4F8Y(l
z$BMDg1{MsYXGW#MI?cE@=Q(AuAfKU_fau~UI3P&!f(dU0tJ8_WiJV`VW=Xw7Wcp$H
zlix&f&(f}Qr6872Sgh_+^X>)pZ9c;YtzW7ziQ8dZbwo2Q^(3L!V1Q31MJ($q#6VaW
zIazoq9OT<~e}=p*grUNQ{kN~?iIWWQn-J^p*2>Q^l!jp&y-<a%w^*4#wcsT+hd%3;
zGT~1vhlr1Ov5~|e2<1@I2+Kv^+BCVc5OV()O5?9{H6WpeW%5UbU}--SV_>GMn;q9)
z%J(AR13)DpP7$t*vsoLB-dsGrks&FIu6;@<%xRdvXXI>I(9V-IWH@bD^(SuBKoM>S
zZOT$$lBVrWGR1Hv=@j-GE<uYQA%LTR*L{W#5O5l^_kF~f2T1zgbW7(3SDDK-zu)?G
zt2X~fRQ=czSh6ydJIa1CN<4~%aNXJE&ezV64=3gaX4pvv1<_&$zHrm82&6?z&V_Hm
z=(S)G*g=~k+Zg7LUp{8>67c#AtO=C!%f->bJoHOHM@dM+F#dG+e-1K2t*x7h%Y)xe
z#Hq2q&}r~NJFjdEdhChkK&Id^!izqTz05v3>bxUS_go}aYPFuLjwjK=mmG0Ic-ddm
zx7w4~ADX!qeM3m*1Z=3YnL!qF-cO}nOh|~|`IGYxHm!sP!YaW3YO=>*P4<7{5Ey`?
z@m|%s+?C`N05g@{RP29IQ1}1~+`u9w&30*0&K3Tu;GTt61J&C?m^zwt{_*3-*KGc3
zsazpfdIDCRK$t<??CIZ`p!+dijbYd5X<fkW@qz#wDijK3tS1VTa&UCKaB(dTh*1T0
z!=R(`@^ZXX#R6YdRn;T)fQmX;J*RoW*!Fr&=KO@jIuJ_WjqM`K>3JAf{Uc%5q5_(e
zmj@hpyYR0Q&<a-Q!<J6_CE34gye|BR25wVDNrM?}4p$~V0JOCbCLKcWlJJ*RRu_Yv
zbEg*<iAb*SSQWY2?8<7^A_w;rWpQPOw%bxv$(08fwq3pk?&V@X6ts4h;*R6BjVogy
zoTNdaS2D_r``q9t<@o~!vZ0FoF5@x|EOwR9<9LI*k*yA$jG-+QQ1at;RsOeH6G2=L
zg4)qugshQ^4~sYD|1D-7DG#-jrl%IBZnUZ&I*I7u8v7QL*$Vk{oDYc&YxU`2ZG1}c
zL{U-rzH&ZG)b5MAuLGR4`TRl$1?-BNp0D@2q#L5^m&VAN&sP<E&O6faI;F2E_8aWl
zV-WN-=F6$H<?a|1g!i%{(#y}1)wE*%8#tC8k#uI1(RIgM_>)e5S45Krkbu@#mZJzv
z+l!gk;V2eGAIz?W6Kapixq+zcs%&4?w>g~|5+Z$pr{4(+cNeh}cJ0)OoU!Uu6pM+8
zfEaHc#vkrk#kKRr8rzg38n9`WS20Q?{oNQ1$!QRN2vA~-Ieh=JwB4qsNjkpSP3ib$
zYwNlJs$XVJdHU}zT`==a6q@s60ayE6vl9#!tuISL)}L0(14J~kR<7LjG9k6T!H#mR
zSv+wEAW7Q+w0Z^h;x$ZqS{5(hYTPgG!)Gk`mY(!Mk-01f{w2p3FT%1(-dz(1ZHh(X
zFZ9`NTow=mTldS(W?ax8BGH93T%)g!&EL9rk!NHW+=p>X&4FE@wMGr?I8PA3@-#Im
z34$akU}i;8H1QINt9&sI|LfxcwuZCw&hsUSC>82g4eA#W8yAU}U1kf2dI+cpNOpz1
z^O&#-IUXg0?(xmo1)>#xv}#0ZSA|IhCdd1rmU4-ZFVb>L9|s73$*|VnS$Lc!KaF;G
z;Z`9pL?l(Br?@MS*Xo7HCvfZ-z$WWcT?7&u)Si@SXzdKN%U9Vn;7&+@EOV)4z)Xj&
zTtP92r3yV;Ib@rBf9wX0@^^^ShAV2j9(F)1ZKz~!sZN8f$n4w~S@qF`;U}1wPV6{X
z?6xVh{m}%d?E2+o+2jRr2Z4}P>%MT%^NSerMbnE(ndEQ`nb5r5A}%PYd#6F+Wp8~G
zBjIx5uYkfcAc&dlF}{B#@*1eSibebK95a|K*j0#3Ld48@#PNy;r0^7{u%*8Zief$^
zEumK9m)$+D(eb_~G0VnPbJ-5?rCnW^Hzv??x_41sszr(+A(+-mqifd1L~`#iJ8m9p
zeZH5@yz0@W>$^T}Wb~!-;D;1o{k#B4FYY!}#C$n{{P+gU#tCiw9<lw~9Ue(AOEPs?
zohcsumvFM!p^I@8V#|d!bEw&M{hv0TcHY{Mc0R>5OPo;ndV78@s%G6%D%NLha9fl;
z+9_(g&cSPWS~w)`DNcGC;jhP@4_K&HOCWUPUu|8y*vIby1Fp<^q%Ij^o73$G@f#SH
zqmP-;oK?#urKiM9_J=m+V2I-!JGiw<w9z6;MZveXT{#3NMW;D|xh79NemCVip-$x(
ztT_Ge{?!21zXrTK^5Kql3d)pp6v2KJ^Ym)WEi9;cdGWftyZ4V_0XUq_J2HpI#{>ot
zAFvm!6yo6GhK!Goqo!_-!2pb;?CdetcllFyut2!kA#FxH7gAzke1i_HYCXY#*JrFg
zSax8Z87xghRYQZ7IXyh23=Qj5$z)roO7@Yo{~EHAo<!Jz^<6)!S3!>CDqJh0&PJ4*
z8<l~fTyA$Emt2RZkP96jQMF=)BwLws<a!-y1V2@!aGjrDfVGCCRhOP0cV^SqtgNXa
zuwZ%RGzJwy7bGmtD!khhYV{StzKGtCb_Pz)l_Np$PZF~p5o-vSridfzI?XhlDO8gH
zWb)(krgE3LdnJ=oXafjuLquo!Sk&?)%)^Tr4gP2i(H;|ThR~ccO$4*_8Y$B&*}qdc
zl=1nx|2WkTxN)1CMdhgl>07NDo}(^wmMftW44@QSA(Ol<-A*=$&wUDMw9lsN%t-Ko
znkDQHrn}Ydz4o!L#qoEbY+oS`oC>_wI|MvYVInh7{rsE$2-o7UIrs(AtV%Hb*9(zo
z;Uu_T5!3ht)Rn<oP8*vVhFzIaa25)Cn093|ZGCIM1Vio|ylMTn7}1aBNc^7M27fJ7
zVdv?P{7ET#fSpSZ%)T|bf}&J<nXmDVieFb6@vVh+T*XRrh9BIeXG(%l+%(LoKRRVH
zex}itJtWP}_oo$cJ6a*GnHw>=P8(Vl>kv6UA~*ol!XA9z!G&Y9$@mc9)3Z&c&yyxJ
z=X;e1O%Ku(tVy*_;2}fv1d056pc9!odjB#WfIc+^27mH7<b>+uU<hMMPlvdSGIh3$
z$kzqPeb+GCe$Z|N04aj7j>JB|#Dn)Jm0(x=X(zBu=qBr}=zav1x0(1dF|!0?S-9bK
zWc8Q$-Vym!bWp^kT&><9LlHE`HW)>udG`qScuIErs7a}K!is0B0&nZxE*3>H8F#yc
zxERXt*)GrY+Lx%$eWn^ce9cIabF`{Nr@uYkWsxNFOKvK<mx&1ysU<$jsp+anCxUwj
zo&X2NOU?Knq6A}psL)&j?1Y6i)u~_V@j|`b>y4LcI6Bto7$?wPdwqmg52NQstaN$%
z8)%Ue^Ari+=MJxwoS87woXH!aO+1Rw-gtX~*-0*v6O2!mhdEP||Eq4a$%oC^!GmQ#
zw_Zld3R=B<>AmL@>9#=Fr5LLwKc>AdyKsySyDw-2Tlgbrj;73&PB~$z)#mBR439is
zQ`YH=rY@xF<)}wpZz#}bgu>^9e0c=vD>j9YTH|=kxw~!EX;GQYfGD78w%Pe+NQbRF
zBd(El76-E5i3d@em3Z@+NMHqRN8i`fWlIa(MzZ~QGwo~G^ZKOm5fE^-Oj>5?*%xRy
z$bWYp)%4`C6BRnd@biY}vc+g!B(`X9ahc=~Pm+m7^;+-C9!e*RAjIrg_uea3Dq+}i
zx@b2WevLInGmxTw;+AB!&@~}GgLi?LB6~g3{yZu?JWObcB^*-P%vL8Na|OIf@4L>*
z#qk}h&EaQU#9E<-jj}X)hf%P6n!J-6j%BY`L{R!&H*+B5h|tMJ4|kY<PL_0$?P=hG
z<(r8ZozKpFzjAqvoIMZPl<xmEh{H<SgJ+4_z_m)A7+1&d{r&wID(07`G`8<wVAX7T
zV;xTwmhV}h@AvPNnBQ>|ormXl;fXI6psb^ZiR?|ld<rDW$;Zdm&foPzPabdZO}zl>
z3nK>;Q%gd~oZDa(Pg+Am<A3*dLKsSq{1eDQ6w)*O8c1YG^m>@Nk&!zlA$c>Zd9GaR
zGw)I1iI*`mf~R3-+myE$uou2C4wKR<K5{4bs6|S%5PQON_DG0=GRgt}zl=^GSK$$R
zr5f&%5x5NxZ~VB={tj->@-rys#mSG@duh@5DohRNuoVCwPo@)<ynpO+s>?^>M>>=H
zq?V}3C9_q5<|I%JrSN9}vLlup$JLud*!Rr8)KCHv2CEmUza^uLu}f_@3}8F)z<PK2
z?E@E|@@ed!YJmA;A&MF2pM*?!n?C;I6n2LeAJ}34Rko5Ic+dy~WM_GJrM!stoqRcZ
zOih*Z!6e#XNe^Lq_9eWD{|IM(5|>~x)=$maAWZf(r$-O5b9!;<=}Y@VrFdt=(K<T;
z#BASWC+&XsZh5-?Yf{73wqk0$hvI-_ZK>RN1ZQgQ{IBmLT=>M{v3x&wcyNdO4E$$7
zPt;|D@G&pZ%!@kmGAGzSE;gSrpIRY|v)LwcMxEaH?pzZp)PbKKj0K*&ol^+Fi`7=)
zp!o*{^78CRcV2g5HfwPMC%LTRlUoo*Q!Zt##g7ogv9h!^N!0dUR@^9}{va2O*N?(Y
z)q?G>gmR3gk>tJrt_;nM7aEY23HS8bRJKMg`bwRZ3TprS*!Bw369XXs{@{Q@-&l>L
zDTX|%WnX_g?%c`bk*kt`)$0c|D+S@-p4A<ke%^z~?5bOYK!WCG1{#bZLR;v`9v9dH
zuB#096B5X3Vu<#$SDIW7`@SeJ>%VBdCrWc0hLk*udwm>#MaYpzeBkQibLhY_Uo~GP
z3yu%RwA30`u^+uA_~bx-mzEf<YqCAEMTHhh%@Gawjz?jChN`H9GgotS+OaKj7#8if
z{>->HL>~B^#r;6wD$A0nyB~p=_#04?_5*s=XOID^OEEcS)^D;q%G6bN!@^%q`kT|p
zO6W|S&s;#|YpOM+t+>0A+Hd)kzXxC*LF|wd7F==VPHdByEg>Xk|8c1N9?1F7yyVL!
z2I268_l`uqO4!Rwb_7G++7R6E=#Jw<O9X_t*2(h3cX?V?PoJ2m*)TYnYYOMPdA8BE
z%e@f#Zvjh!@6j6L+q~Yi%In^8cCKPlUH{DLiim;mbQ+F)n6_OMuXXlmAEuH!x6g~;
z!R2A;$|^Owf}++EMz7Pyjv;nNGUP-FlTDFlG-s;KHtMWf0ob*N0=KO1>&q;SBa4_)
z!c5ofbk+z47=+D6CQ}Fb9jTkW#7%2*rEE;G4b|3sQ(_$}{}T4PqS<wRYXb|(*D_(s
z&spj3Hyv4-20Y`mn{nEe+aHV-d5=l9-UQ0EmII*A(xu|T>CGH<6H@ba7m;S#EDnwr
z7nHpqCN`7uPsZCq{};dW-w^uNu3-aIrsL-Rn3k3%i=C>1r0e(e?}b`NU(c}H_wU{_
zzkmQoyRt<Xgttei%W%8N`p<m`G8VVV)?39i^d60n-CWC@Fzo~k4uqu%&X&EZ{ZEgS
z-G2?sCRAvx`!HGkm1<;rpxjyB?oKQw0kP*L;~X)M?`3B2E3s6G4N;Fj?$6(anNcIK
z4ynW|QF~5uqn*#hR$Y&6rgsrliOg=MMp_Y_nCsn`7F+KF8gfz&9=-FDx-+oG!8)M{
z#E`_{?5WCo<*Pq4C=-Mdq;Sp1Y<*PV&9{r%lof@^i;p<Ihd&XuZj!>nPI#tp-vw^d
z+R)PRyypaoGC2k_d~`lp?Nduuu8UGF8&kdCVhn}g2=a{+NyX!NMO;}4If$K?C{#i?
z9@#GimA^L8-3|A<YAGI1ML;OA(^F#Et|R(olu2kb(QcNpLt0HCgA66Rga01NYs=m<
z%@S5FSs|oPB(<ioi}~Mqb6Wm$4FqTtgnJ->54=d10ytYLKLJ75yCEYZPX$?ljdWRS
zONBUTryC*bE*>;#Ge5Q?#RVv7vxudGRD4zG6u(|#UjW`D9zzUjV6TZJHOU$7cjNtY
z`_=$)B1hMvv0(byDS1ay)bA7hb!UsqE>$jlu1v(P<Nt(N>d7ue<+k^wRZg=_vFuH&
zfM43J<R8mE4fAVL0Aay>SWBLm!Ew#3$#W~qrNsO>qDJhAMK71hind&3KKA9&g5Y{+
zCw%ogkUEjCCkMZZRlJSOVA@!=>ENil!Z;%^VlUSMiFJ^(Juq=fx(U+^hl2K%fCV4G
z&^<rEvpZ9o#k?Exg+<S_uTS((k;&k7zthPd&Ux*f81-eSd4Z#;>Tn)Yfo7cQf&!Y&
zmG1#4RG5IM+myws``V5q&Pqf25T{4_%L+OIgk9FfatKXy^w>gX+!5W3j^wZ0hZ6@{
zY+shfeuK)LJ0JnFoCd>`f-eO=xm#{C+2_AFU-Rl(y9fj|1y%W)hKt=P6xal0ez*P_
z0qxE#M8ls^hC%?uZaS_t`rsEP5i*ob2ckuZRQ(vN0q^R%ze_P*i!Dr>t#y{~vWUL*
zd?C2?j_pM>wf&O*tq`zt=f!anyQ<evO!<ZY_VOn1Xp0Ms`o()Rax=YsK{QAp;?MEG
zG)bw0Dk3Ut8Jll&9?5mWvBQi3QH~$kjPBh@V$1JM4FV}~j0-toEcs9KD+WVUlBIFD
z+k_FiOT1_@_>Q6nf*{a;q$3u2pnLF64VRU+bnbF5vuc6JluC}d2P_uG4G;Opw`_UO
zpSWxKMJVgd-c+xK*qhV!dPi50_TBBS?@uv8$CvX_TS(T?>`;nQ-+>gP#yM~AFS%o~
zVtDgPLxkgserHKVEL*Y@5AYI;k$$eY`CbDnB<da?cCawzMThyX^S@V7Yvl@R2ieC<
zd88nx-BcsE6J!3ryP2hu*@5f5J#*MLNo3wFp|JAV+1aldH+6M&u)<*WkPCi*+0Km}
z9gW=Vv&wSA_1{1M=up`Cd0C?Ga-E5+#jJ3t*N!#&O@R7;a7@x`DKtkp^k986EN(KM
zQ*%$MSRHLw+Yv8<W;{Xae1cp@WEQTJnS0u18sq7C63mthc$S6ge<?<<!juM+H&AL1
zj2<^Z5n6Gai9BmSy#qRq=4IjAeqOjdQ;PkrY*nSpPFLt4#ZbsM1#x8tWpmU=Jj}h6
zl>C~~=ZQ*~IL~mmY}@7e;=@!)fqD<ddICAi4`(<{)Ty;}geeXaZ2@;^1|l}|A+P;k
z!h6;DZWXbx>zFJ_^{oFv_~E9^DCvyP8Y!mtovCZj0{<Fj(#3Ce<Hlgjc}r`5duI(I
ztK=t*>ha^oF>;#hy0>Db*uXp{!@2q8Z9ExN)vESx@vY*&VQCjWk@PoQ(Ft?#z&l$E
z-UnN}&Veb#aYTK!BB=1u`^jI&5v7{eg67ucdQE0(_MPJi!!fqm+lxy`t5*O^<h+UA
z%vKUb+Nc!v2pitblAPYn&+*f^YCYkbifllA7Noz-aDZAGI)t?u#Y7NWn}gWCp_JMm
zR6!9d&h1CdxN0u<Yh{4hW7{agR1#r)3bp`xMHwP{z4#Yz0;2ju$4@1S%H&r`^N@Yf
z-I?kdei^rK?_em=bTn9K<Hd&p4%Tf}wllX8)Z6>f_rB?IB7`0~%z$qZwv9{CyCrZD
zv>fEV==B9he0dMsvL_2ZX!f@<W}K3l+9qBx8_OKn>0D`}Zfz*SvKgK6P}y$#P+7SJ
z**esyMf-7e>PGmKoSj{7mxxinF{nLT*IP~(u=_bvf6Hj@gT7N!P&fR9J8Oj8%P{U1
z(=!Y78Ff=kEFn4Bj!My&B<Lr>Y8$JR>8z}|oVRgl5x18ZJ8u<Cb<DQ*<x%e=@7fQN
z#}%94Cm7K=kSr^J^~SwVXhRL4WQPOI@w?hEJ+QkU(!kU4o?pb~cknXHt+=4xx~5?T
zFD7jr&Oo;U-T_p6V&izC&h|g^%qR_ei86USBb*O1n2xObPiy8k>k^d4J(;y>>&@)6
z_@D^XdwkKhat<4uI*+aBV5dDsw*L)#8gfa3Vz13}^7|1d#@LH2gT>SjwpTa6E_R26
zFVC^@O&(_1Rk$`b(Y;9og&q(X5=tzyDpW5m&|<Pbjr7$G%_jTgA1Jbpv~Rx=Ig9k=
z6XsW26m>)g$w^n&Uma@W{Mzt9<tMxBZ8RvArpx;edJISDOC~>y2<j)u7!S2ZT45T#
zSY1XPFR&0uHqo|vP+?Yk`hnhyO&vYwH++<JI-S_k2*Ycu_aA&eJNLi$I??}cZ2Ls*
zX!~KU#c})md~#2i<9!7xDyoySv&mJ&8#=5Uco`Z}2)iAsHf99A3YiU~o12?+QXltd
zTP;7r)*<xI%+w!xg-TJwf-9~PMxSv0r?cqjcSTAB_Bjq1^YUoFPpAzpg#o>Ln-;#4
z7_vD_fLJRBR100rMmJDYc`N6od0%ZXq~X|#*NR>(`YQY_1BO+dmrd?G%r!u`pzGIY
z0LU0)!G7;Ioo3^8fs@e^b?3c7hfig%AgKOQGX}pm#ebK6p|<z>+(s7K8B#?`0b`Vn
zmhnhVCt-cSQEd?9uFmp{z#+6%bs84<<Uho4xJ7mBf=%zqU@uFB0s4h`iu@}SlG`E+
z8QkiM4IB6_9oB!{-o<qRb=QCCL-CG+0>m;<c>F!Seb-@hred22D{Mv)MkfghDf>r#
z^etl$<#uX{Ced>WxBL6BiNx<p)%5*f+S$Ol<;=)d(r}e2Ccsu`*bunQBH?qZTL<=+
z^m!~@|HxGl3WHyR9eanN+(wh|wzMq7fU<wzYAFt2Y0|&c{0MV%reap&CUCQQ^@9*<
zRB_x_Z-)LlInItmk5%$QbC&bdvEq&2WPGe<9TS(SPSOnO&gM<%vD_}bA2Z0K2f=(g
zg89^68ObX8`>&&$Oo7Tpe1KvcV9s~}Yf89j6M@c&*ZZlfKNmayj9;vfOF<SBId#eR
zLL6w%$)m8FZh^dWGkyT0LpGUeX39k-L%q3h=&TISSVX*w<lq31Lp`&d`HO2utzS7I
zzhBFGdawIn+~Wp3EnzLa{e_PwNWRzcOBW4rGyg(R#up!in-}40HezrrAv5AXx_T&R
z%|$_%<j-h>YssfhZ6AadSIM8zW__Z)?KK&8bm&-is}A<MQ`#?!zb65Rw>1*lea<e}
z-X*;ykLk^T<+%j9cd4q}sRY4R)8x(Iw(DDeNI3-`r(f^u41d?}pa{zBB9RO_BIGk(
zbH%|N>0}aS5IYyvQaOFkXPWJ9<2iIA`YrNRa*Y)SR3`iL0!B-`Y9cV3uS?U;TV?2(
z{7JEfq6o(`5dS0;_8Uc!f4mhHtZSuQ)v=Y1AEDl@BOz*Y!=NaQ8Zp5G)e_CV^N!|~
zMSa*5jtdWPd$*ZxjWsjK|3v%PD|1s>JJ73Zxfx^@nu-I%nv(q$ioX-`v^YrH9J#6T
z(u{W@EDN;}S28<i>hCOM-wxKRUIcT=(gj2I^c?>H_XlI?r@@Li;!+fR+07vl5J|uU
zvqg5)#ZSC$xUuk+0ewv}{QnPKwFbM=Lip`#?Yh4$$5Azf%L}%L*jQOJ)*-w`4+&qW
z0dM3kpt;<gfe0)PXFt?#$F1%OvL{2>N(l^Q5CFyA{;cqdmzTHB{O?a#Q{eJHcY3Yg
z6~?7v4|;L*mJ^h!?l~9e_J}U#iG`#yLBPM8#mOd8smhE9f4A7lTAFl2#W6ufeLNR`
ztxTDxzOtjG@^YCDn3#)Rjm$aDpB78({m^I4xG#8odp||%<ShdW-C)w?CFdipPZ-N%
zEPVV|zyM%alK}nqOwYoGj%12Hv&nZv(XELKjeX^`6-M!82Q=VuOt*TzpulE)Hrtz=
z01BK6BmV%=8}u9zJ?THmAyETPzX0Sh-^GbYw73CSCLT$p@@-}&lq^<J#hJVxU6`}V
zH>N41htUVNP6&5GA#(4Z?BrXg2<|DqM|IiibNcC!^0x4Ywv*+-2@}K{)NhR8PPq)8
z9sBK2pJuG15*%}X4JfqIK*lBDkiCgR17@;KN<WJYP@-&S*Nxb}Yv<<-jn3y3jmNuh
zkaI#~MzUr`1eAd#-fgVLZMOq)f;m7E!bb@_yUIIPC<3fxi+D|L=DoCcWe$4C$y$!R
zyD9y-PN^uMIS6K-bY2^gLlqLc5PMZ&oZMNv@lYw>V9#BDvOJtZhaX<h(+^X<t>L<P
z&3AeK+B9{5hV}l4pyZ2JO*_f=6c*ILhIXPlWBi@u{=~zM$ji8tFzz}EUNr4pshECO
zZF=DA`L@USi8&k}YIX7cj1yEwX88R!LerGjppghS-Ywpc$(qn`wbRa3Cb!sE*{m1A
z4;&3vuQ#yyB`$x2!Cr3W{fi~ra1rW2Gp-RG&%3`ZD!Z4W;+;V6%+8UqNDo_7TnmZ^
zt^4u?Yex8*2(Ve0m^rVZC?M_(;cH)se|;sz<G5~Iibj1xN9S(}!Q!||B3;vGn>$l9
zVmfPHHI>%<4nD-yH*!Fk$(kSROSEzN+OM&JvdF1SMKWF$5O7l~g3YYY6E3W|7jEVt
zLYF4ChVECHK(`w?MrJ{@r~Upnbv$r+u{bg|3)9xa*80qr*^V;zW_q>W*hzQB^G@&9
z<A=cqSgV$wp#X-s<v;p6zw@#~`r_QFqzMzS*NO@)0>jyIIX4%Gzc;fEw9RGX9CwhL
zKm@j*`{<S%%<*!3M0%Smk?=zGp?kbDdocPczBSMjaSIn?tvi7JvbM>Z(cd&1!`5uR
z6S388fs_NJCc)A?fyLo4{8|z+Gq;I%%#GMFS@Ffzq$Z%=F<-6M)h7F4n$C<eJ?t8r
z$b;<YGaT@z6Uoevbko1(2X%|7bj_J)bO?%q97Zw4rp;|vy{@yAd*QTn8L{akYHO?*
zNk5V7a)nK!o|t81^M-J*^pChkuw9%mEivqZS0AGX9imSDzeVHfd#`KO*80Fe$lnWt
z59-#fF0e5A)72)lsXTFxmt;o*)Ew9nq?m6-a+0#LCFRefs8bbo>#aDCkB_oT+8P>z
zu+8>wGg867ez6{`#7Ns_nTatnmfuwL=>N~8FbvI+npywe0Tx?@3;zOurm%6Y+w(c-
zuZ1=3y?sqJH{NUzh<~5cx7HuEEshQ9>FLJnvZ;!Z28}Wo?B3k|c^JL+^(P3sTS=!o
zUw?iJhJ1_E-G7HqVZb>Y<TaAiN~VroB2g$ud-0Frc|#U?otYKzqpA4S7x;?f{C7pL
z(}BdsI#Ep75KF1_9xV6BaIn1b#I*c&hd0lq8i@Dc&&MWW{Fqc+*jeR_MPYJrTv5lP
z1*cLR-M#@a{oy1Rm2>naGZq4A^z#LNjP&sz<E+vqKOCLotXBg=->a&sg@cl)S#7l=
z?7Q@=RBP$&Y%&Wg3y|jVEvWXKdvX2@^cS!#o~{MW&nwE-UAQ`YI0v>DmQ{=GDSS^o
zKq;^`M~XO5nl4j8MnBu4@ay1}ts3T2)zl`wLj6*%+k#|6!W<(1BwIi-Oo{O_Tf>3?
zU>H%dF1M+9cibLcXKxqt?<}h@B$=G#JE`>d&mY($5WLuMZ$N@*-?)N+c}B}q8tg#j
z3y8t0SExND9E1AR*IBaJT9*Dg8%;r8`^fmStbBtQ?{Y`$clMfeRyO4liUt(E6dOqu
z@rFF<RN-Nek2f&2k#C*~2i0`09QYf}Efdv<e80dA_VYS&-waH0CF}Zivkieb4DCZ6
ztfu%A-~Gc1Q`eM*Mpi>AHHTU?Z4*<}rvF{jI&FE<uM$TSaWc>uA&kNMeo9eSgH07X
ze#-ByJ%{p`P#;j_>wLUPHMD8Y63XJWX!UV2b%JWMJ#juuDsuU#vbfo7ybmdzkRB%w
z_;hiE!NTU;F<ZU`7x6L`aLGky?T_bjejaWs?R7<piRaGB>F}b(%^o{k<r7i2*2aG6
z9?4N`5^JbVK=n@&i0BSPnaO_ao5^_OffbmyjO~O&(cS5xFRAxZWQY9c!3JW6`v)pN
zy7!Sm%VN#cyR~!w14(i?x$LseFYZa|<)da_Zpt<b@pIvV&UwD2FIzrRXiQ|8&c4d5
zv)$XT58#n`<RSQ|<2%VRmv1<u@;{Wo@JMznP|V9YS|orMF@y}gK*HCNq(7Gf4<@?D
z7%ru+Ypw}GYM$p`lE}>(=3LYaYsh)$YZ_rik~X}71kM*|!ZmudvB}<5ne6QymP_Pl
zoCv44S|5k&@@XMlJE&3GHaEg0cw|=9P?b|UIW9LT?_Zu{)->n3GX9f((Z${CYMQNt
zzSp~pmS1TW_=wotW@alQIL{T1X;3~`uzhhmGvp;q<A6*c6N;0rnF$u^+I;%DGeG7f
z=L7rAs274!=HA|4%p?K@&23DpEx)it6r~T#nWdza@Y}Ocu@gQ2GVHFhv%~J+|Hv8t
zBZl|4lDFVN>IF{T;NBoQFmvA24+)O2zi*!)0%2DS$~h9*{PsjnhONK58V0Vj1sn@u
zJLzTb6d8it-Q1k^{@@&Bc5A{i`NJl%1*CO#+YWWD{`}kQ@}Xs5D7!iO|Cg9W*!U<`
znj7{O4(G(F_CA3&W>_@Bc<msQXl0!U)ur7WERLYP8?(Rlgs}Yp86VJD>?5OT&kkjg
ziL(so6KD?J(0E8sBxu4>jNq03O^-2M6(DXW)L5l+zVXHY^hZ<~(4SV7T&En(;O+D1
znFD^OI0O<zBm4iJmNg<1`wvtgSTcfx$p*XRmXFA-epFBFk!n^iQp_cY^`6aZM}D{t
zQ*=ZwM~zD8|0X%X&r{EEz_#=A8i#}|Fsx=kbxR71hQvX02;QKSvbSxSgL>nwA`NTm
zv*@1u?!cUCvEf>nADVZ6(g7!jLV&a%6Uj{EBc*A{_QugCF=SK{IV%CH_wkQpl9sC_
zY9@(Am+Tv)ge{m6>h63Wtc~PHcP_oKqeBx@aU?#0gH*2jZ8P$hLXSS6Ka>6z){`*I
zlA^)U8()uF3Ulg&9g!NL((@eHW~#<N*9swHyOLC3X$eqN1tBJ3B@!Q(_l(PWG!}EJ
zKz9R7Y^scBNasUs6~WW4XN~RiNp=$_!b^S!vJ=da7$kWXP9#!FiPTa7r>T1t(2#W~
z;z@k2g?$+k2H78QeRP<8Au!Q!#r=~gyjXc2Nq0hMe5rt(QTg+=(BCr$^}2t}R7}Sr
z2y(Fl;4D+eC`VIxqZ<lI@?$u?778Q$dTtE+c59w&u9a`N@YW>ca-rV4OWPAM4QGw2
z)}+2ftt7wS8l=@nhKV>m&;cRrftMmbr}`W>BzXA>?#4pu&9F`}T2;?q{Krux4%;`a
z%nM~635j)H_JjXq!~N;${?JufC8ZD~exz+6U~l45maaVs(RWcPix`j#0+cnr)8orB
z-Z-KKO8O?=5kt05Hc6ZIKZ_7B78s7a3i_;cSp9Ice#!Ad7s>hCky_yXZ>!IBFKk<~
z_hYQ1I{ueE5s0nsz(Vf4w3is?i!$vSy?+T;%KeUlc#kMx>N(IVugl5^hWYKVjFIw>
z>`9}v=Kdp?Nh-*gZDE=(w@=dwt$2BV+Iow0$u#B61$eLcBUUPe1ZfbNzFBvL?2P`j
z_ejJ@s{Ku!jS^&J@_6W(2?xY(z^oeKmBvuQ+0Em*CM~h&k<TJaHhtF|UO|V{_A%T0
zh!qCA=W=APT2kt7@*$Di+H&n;>k*vY$%ZxS>R4sR&G?;~>$ldSy0+^|Md>y&$H}QT
zZ)?KL&FC-!9VuODZu{8$oselv%$g;IcGjgR9!%W3yiV6jL8@W1{T0S#X=mKM(#PGa
zJkb}X$5{$B>%Q+Ix#e`x2#7sbCAEpQUzEUF@@oCo*UwJ?`u%@<UFxoQ_FIA=yl);~
zzoKXH+v~yC&GyVC?izG>gq4*ssHv-Gc7l1ygf=t{Gg_W@M-tF=N;`hz;^I2r9DYOk
zNJ>P+*|8iGqW5?~z@|sV&)+<65V_wI4!L=-oC0Ae!J__hco4o`l@%0F|F?N5H1xeC
z7u*D)(f#v{iXL*KAtO<b`w0QPa*mFvfH*mD#_2u+libv$;BBoR#y7;=2t+`D1mW-V
z5Q%2yu^Rx^R$48x3Ci(S<}_Gzt|H?boruIoLkwAO0HCtuzc_dD0tWfj#uVN?J|(Vk
zdp3#^*_6Kn519uiK2Bt1>2C4{212t~&;s=$>I28ExK2|MhSxkWY^__7&a86G-vrhn
zZ7EksTWdP7eq2T{IpThj!j4oEc@!`DKb@f3BMaC|YS?GJ+Xn$HLReCIFo;(h>3G<E
z`cDN*7H?g68qI_X6Joa<xm%7Ooc6334Ldao^5RsGpAtFr=#$_>obxWVjteWMz}zR8
zQm#n~XqeyF)%oRiVBn8|;Mq3(QlI^Fx3&Fzh4lw@T5=-dqk?t|3|`0GP?R}_?d42S
zU?O&;_R79wxmD-bhrt0b42WI9-N;@D*VOdONOZB8ualTtR3;K%!2basPkr`{aTD@5
z;OR^_FEAI{-OWzoNgh#Ujd;fU_7SwM9}}fCULYU8;9(V(ikz@xkZC)c+w}@lItYgg
zFN8*c2#(z;gUkxxK3*h+D|GE`5>_7*CE8{cEZrcsredp2W2J{f7V3F#SR2f+wg(&F
z4mUapY_g8}=jY#hD3Nh_AL9WLb9$3gVm{J@Mlu|BEn-TYtm;h*Gz^{!U0;^!ydJ0|
z0G!vW1;}hk`y{kUHw-qMXuF93J?$jBBJ*LHK?JPF{JmELWr;?Hlv$Kfd&$Yu^&sk-
zTQ_5iB?3^3VxQ~dv)fOx4a!SN(mMBZqr-(+60L=szdXc!r6#oKxttUr2<A@B8wu-u
z6=w1lh@&i`FGh=6tmGNRn*gN!ZYs(j7A+cAL~cw4i|VVy)bp@ME)$khC15JZytXqH
z=?S$f`_G2;Y~?%N7MZiwQTG=HDO7w5WI!y);zFAAkUkBW{^&mzG0!8&y@B({y~7nF
zF+ef~(@)LvrLaHoTw;KRD2GATY$lbxh}u*MB=H+g(89cXAdFp@ni^qjZ~aM&2#O|t
zoYapM`CLMHGW`@Q_3u_GV`<^zDvh<1IY#7L+sC_P_8o&#!e;ae3?*H?0Qii?Q{>th
z$QM@Cdl!|)+Lh3UYTnFw5`A5Z<y*3_MAD#fkq4Q_SRcZ5&dvf7;GO{^$wL2ONdWET
z<&auOt92LR?s<~)p{{oBrS_{j@D+eMWqN1U0fSS^lO2;;B35%FdU?jn=A|evyLvuT
z+mBb%9v?;y_`DIr^lPg+tmG?5$25;@9|~-ANHKET3#@5LtyrRZ>_O3pSt|deG??R%
zl7r2%31Jrg4Vcg*I0&W=_2fhn@DH}H!3Gf?Le>@kr~nd{!EwvK-H3*79KzEuZ1V}~
z%SyvnIl1^{&V(1OmYR4DSV1vpLGnqDf_N7$*3l^q?uuI%Pva7w!e;$@u;wnle@|?P
zjf!JvZu?x7<^<x#VerMI72<mD=n4<+=|m>cnhOWj&>uIE#~n&h3g6LiPkxoT&O+kk
zoDcDPauD?Xd<9Hl55L?JBqKk@^{M(1&c0i^t0t6xXE6NvG<TH%W4y^&wFu7AK_{Vj
zub*Fw1oYiFsFq>Y6mxg}xbMEI1fMkuCJW?}^7BDP&*sG`dr_uhq3g8kk$gJEbG-MC
zmGH5($*wZnDb56@t6OmtCAs=BtdBH>DrwqZ#kzBO<%&??lWzHSc4N+YFZXx$@^_qx
z#+D6@7}4>fX8tHERQID*OV=xR*np34NNbvC+$wpU3&F-Z)t{#H%Q^0i?xw|+o^P^^
zlr+nAz908rr)%~Z%72`O=@hAILwYP*sSljJmS8%z|3!L>Yx|P|mBZjSVC!{@?AMwT
z)6+TNtMJIw!AjJ^8%d(xH&(439Rp)yF(~57xAPV1IvpNtxP|MRo1m2nB~M+#{vVZY
z?mTQ}y@7C%k&(vW-=7|8w}ryMjTDT}Wz=gi2yX2$ov=hd7}nkQ?`&-w0*OdW#4g2*
zrxcHe?OHWCoGvJb;b&38#o(NNPXPe|`V=2(w>N>X|GGSDCg9|^McM2mb*I}=SnzA!
z|F6C8ifgLd5=Z?M6$BOOB`PH%0wNs(*Z>g$rHFI|X@(*O2qh2|6_F~v1_cD91Vitr
zKq56#Lrs7H0VyE_2oOjn`rSMKduQhD|1dAJe|b1NIoW%kwO2oDuf;sFsdwM>D1P=W
z(Bk%Y>cx{oUg6@dTj!;>GG7srhbn{l<1&1#Kz%gXwLMl0Z`<-KdZFG=sjv{_tpiVr
zZr@Ez&|gt$dis-j#(tJBycvEL1l(15#F4LxbM?P&;1lq($eN$!Xu39=R1uIa^bTht
zKkaONR?J~Ck_hM43zm`n@igyS(!Fa$g!t3xpj)VjF{XTgG4!?FxZ=rb>w_+;by4ZZ
z80mE<Es==!gfpfr0KI39u+zSSzI3qA!+bIDx3yftI2~ZTVSiiupoynGP0zxhMe>A@
zS5g-#3^R9`aa8}qyI;mUC~b-Gy5Xj_Ga{3XY(`HOt{K}O%CFX%o)LQ$$L<Z^wlDmB
zp3D4rCEn%rdHD`N8m;NQ5R|I}Wgh^;adfnWJ_c>*dp!|AotwKxHJzK&opOG1wp{FI
z`7QOf>b#%N#I_aY8hhyF;7y|<9n+4g_#aiKWcC>&)Zyy@$oKbIPZ8?L&#?S~X`i5j
zycZ@*Q+QtjXYq?#1=^g6M_1cOdPE~@wtgb^{WGk%qWT%~dJact5*xOa!@tetuj!6M
zfV`hU=dcO>1b+4IibO)$&!CW`+eqDCXQhXQ)n~1<BVT`JWI_eyO%KNL>66<z(m3}n
z_-BHc1MD-dw_|9J5G^Oa81!?eefv=hl#`Lf^UFt$TdZ?BOg&Z7eh=MvHzGWr_G5EV
z@srf{dCj!l<0+Kc{-Ex~dmKeq`cGa=ZQb#Pf;uk-_gvqvnXWTP=pFH$aT8?b*&402
zQh}!qZ(6bhhTpjEuWR4Q5{p^@biwKIe(x~S5Ao0x44aa2@}Y1{SbY6)^T)5_hN{0W
zm)gX=zn2<oS<-SGVdmi6hqy6Izp!~{cGPSYp*s^ze0yv>f~uMS^^;9V>gTSPGP3R4
z=c4Pm+ta>KKQ+tbVCBwHz8~bQ9C-8gvx!^<B)9|V`8Jwz%}Z!e6JgsH`Pe~1Z>8<U
z;mL;uz(ZV%;?BxFKZEOqSAqOduD5J@V>MreRA}bJ$f@h6b0`mJ2x!4i$?4q-2E4Si
znr_1<l%H2=ovagNz5e<UV8BL1XQ4=$z;%Oh=H8`)#|nTSBR^^I)V&Zlzd31qh?QOc
zoP^|GQ-Q;hGpeu70l#t7z>*)?s~Q#_ztz$+eWSrTq<gIKMB3|*Ws6#pBHv!9uiQ0E
z;^wkEYS;DVsU7Mx&ilQ;5rS-?cNBrwjEH2<e;5#1beFfEyus4)X196Z6KX2Fhn7#I
z#ZAHjJu4S959;><^wwL?HvZtmaP;ec!h@dkbkRQqDqG|?x6v4`U#YJ)aJ2!U@<C&k
zVQ&p{58NHU^w2}G0+Lbo*ML+mO5=j1M+V>%aj@6f&E61D{_M%+>cuDpxWm<{eN~-y
z75HyLcp`3Jz%EXD54du=F|9cr)pJ-ySy6!v+us^-LWVm%MJ{%Wez>~i1EF9pkAG}_
z;=0W(=ykJkiRvEdyq+_mEq7+qOQsGs=z4wx*q_mDzv!psc*voE{fhsh0;)#P_mXw5
zz%qp43<9pC?;eUJ!fs`~BHri=&^-vE6)ZNN?;3GI$9#I5{b@t__5?o)E=U<v$=2T@
z#+|O-G3%8C8P?yuo3C2F*mS0%X;6g}2j&}{k1FT*7`cSG<d`9t9flwqqJOl<^4Ijt
zj?HEbKsOQ-O+rxLU4w3WP?wgwe#GEkecCViDA)SpR^MN(e5L0J7NcOki~k;WkhX5~
z4RVo8V4X1<uTgmP{VxGQ!K9;A#z3$%Eb0CGM<2?IiY``Eq+i_E+}8;zQTp(yCHK*|
zP1Te3SI=AEOl?Tk`YdY`%`c1;Ty1p1#Bly4-+c7L7p_EBEI@w#krO9Q%$w{+RdOxl
zyqMY4V<L--S#`xNK>=%1ItNJRe;km>FG>B^)dj4Fb+hp+3LaMr%6|PkFsZ;K^Va%U
za*7+aLJ;Yv#(dpgpWE+ZRG0Xp3r~f8>7q;6lUTlGz5runnxEK<CH4>Rk!l{I6&z;m
zY?Hw5s~cHg;}f{x7eEC(-3Fxm+}IN*QVd&bs2}p&*}_#kFZ*;}D0wjRQgVR(;Vq!%
z;FY^BQaf&;(@(gvrb1@~)(v08u{;Yb$J|_)_=pCQ6_D;0<HGfrcj#W3F8EF=NT`c1
zrWKTeSeSkw8pO(L^4{Wkeo@?kmChqW3NEA85-66gPio;p46J=o3jZ~FDC1{YsTQYl
z($@l3*^0opdkU|r25xl|pu9L!?YCHyj%&}c(%q>_ysdUPN8;y<w*lKnD9)YxuDh(0
zC_~p}xe+PaWYvMaTa7`mBmA+YFG(M(jvfcS&C}<d_2_MR72cf3^m0CaxcSUu-(QdL
zy;*bN!J!QAR*3tBU+EtL>D8xUXF4=siHf~;pfJn2K~?F)*y6Q^gI}D}2#LjE^oQR%
zhibF0<sOBJgWzJX8=tC1xqF$PR7uOfKGiyc0><oSeJ{?8-&(Z%2C?$9Q+oR3#@_dM
ztWu?eKIgAVA+0gx>k0Mqm;3I&Y>eyLej@VzipMw&ji(}hbi_A4pTCjM{Zi}Ahq|=W
zwHrHXu)?K`ub*u!?_^I$C3z81KdV%CtC5GDEKUVHE|E0vznOrz;iIu^8=-qasU+C(
z2P=;dm_uArTTNs}#{HDTXFuWE+8Bu~ydV{LI+#!?#A*KOaY<WPy1U&S>rK_uVsChN
z61?NFGt2!5H;<CP4j46@jeFr0t+Ak)r^D9`{r2u~u7Y!bW@TY1hvcc0V+kcCHoS*i
zdoj`5@|SI3CLeEc+D8Y5{JQS&0(<i>(>}#FP6fuP8X=s?y`nE74%vMDW*VL-`Me}5
z?pW2H1Itq~+0+O>gGt%A?qufdLTbEgFR1J({AjK4+XE%I2%phP?6;Mrob>ARvvac_
zawHtDJD3HmDp9$gvjRvHAX5-u;Um6o2c2Y{*VG-yFPRR9J5#@<*2xIrOgTItzZ75n
zmD%cnlV;TqP#zAnzp)*LdyBnbv#Qfae!)_Bp0JKVUzdm=80P+X(8ZAwQ`*)S20ppa
z0*J`tP8h^oNe8^h`@owzh`e~lK<j6_rP-vacvuX^Fx%$Czq<ilJH6SlpMQ!jbaZr#
zG(hEpHWt2prOd2t2Pa;iXPvLRd=+%%O8l`U<JKliiKGK8kD+>3SXh_>tEeE{mK`J(
z+acTn+j%B6p*cCka5(lmsJP#Bt?~Gz^tb7kSW+b9V~Ek~<Au183yt5K(s-GlrUQA?
z>B!3t6P6Ziy2?&b6JHEPw6}z()kW8U4iDbm<Eo#!jQ#rh&1=zlkFlu4!Tve|<8A;W
z)7baT*{yDoTHlgmT7ifF=*6<L<PRlB%g-Np1(Q?j7kQgl*;i`@@X!opv$FaGO=1-x
zg4CNy98AMiJFXPwU$*28|2F@WV_iC-KH*e9+3ctV(Rx9lR$fnK;5<Qy{o)(t>Bc8o
zV*GEyTsE23aMs(c-2<pt$SE<g7^BsU%T9dmxr)h-tLd#HBz+`xVKZgvabs(ie%;%c
zp6^5KSRdf#q)9zHs(fuPdm;NcR{k7yH|UOE`SXvcQ$p%~U(*k<uQg_7Jp=S(&pjmG
zt*pH3%=g@Fc<GfW$#~jGon*EToeq4|i|=O`>|E@x{8sKnk4rIXonysbSP0md?yAmx
zjvHy+&C)-6UOH2HX?#i@l_rQ7S@hsm9DRAz>b#M!h^lBGG_3R0K2v$k*4A5h=Y^q+
zLniG(reWH_rw0b3i*s=!$J9i9i)^3vUWi^;+rIR&I#yR+(~ffR#mfa@hdtqEClG4h
z6*<Z0#<+!E^MnH9Xn7@Ys)Ec(+M)Z8Ixe%D<8m~Aw$pk>f(6e#zGVfg{~9OrDzua(
z>zfa%l8+=mU(2S7zlRfeT!%TYvx7aQJWrMy{=#(rc$@m{W}EkvPoatIbK{;Psg=I!
zNWzKaIP}{$O<Z5?>J6LVH&TluzdFN6FG;!1#{xLbEmeynTQrn!+L;NRSYb&TM}oAb
z3xKPe%oVK2E2XL>dgCrUVmK@+>Um=@*JD-=lEEsD-KxsxM<^!6x1>KzPWat2k)_Kr
zkMAd~Wj?We#&W3GedmkqaU2JQ9GfrEey*kMQyc%l!%`j915H?eI>$-|LyPb<K3Ba1
zd;uxC1Y!br!&wG=*N@2Ym!rl*AH3a;Hq3i|fzj+|Q=Gs$F5724=oczWKlfHTod5$%
zbV5bSy417(yO{kBxp?NOS-_na@;wgPj%`ODSXo`WpS-$$iNhgMCadiy4(IwEG4ONV
zvdmuB-+xP$w1d2~mU(>g9CM*hT#69PN>Tiwpup16GBEHq(9|u&C|&8;qeqYKh;5X~
z3T+SladlO)63N&no&M-wa7|6r-~I}SDVOx}?ltZkxRtLJEPjE_rK~c%JcK4s3T0l5
zo9Sq+_mdad(uzp=^k@sfiTxbf&85FvHK|tR148?QpKG`X-A$egGu(9)R6i_`&MK-}
zv-+U=k>vTZ%vMOm&TA%fO5H-}*%e?f4?|PR$yU{7P{sW9%Q%jYw~lC_hkhbW;2zqQ
zqPUkTM6#R)C&*H{C^`Z>`9A(0zRGGJ-tWMH<xpZB8a1;QpYMZA+=0cU&Z@pOWS*r6
z(XL1^nXxP=G9wrt*D_f-rY9pUwBB-mll0fK683y^=c?PCquR+DDROJKYrhC2Xxdyi
zOXiSvKddCG!aEI>zy0Ng!v^6EiBR0%SvBqdSbiOGo7KxTh3P)10lYJeZRSP{=yF1#
zoO(+|>rsTW-s>$}tDxSZdIqspvGvQs^LNM3I~JxH=A^mI+3(+hyE`Wv%6+O!ba8Rn
z<#6{=m98>BIM7{nM&?`e<l&PN&I!(UhYz@nsOlc>#**=ZH)mr!NE6fFL$m?0I2{#E
zMfRECI`362cFYiTU)`m9d%>pKwF?)}JWnhC6+Bk73dptas0pbgESdRqQ!tphtk6@F
z%n*l0%I@=k;GuE#vQNuR{jRh~)gyk9`d-?=UeMO_5hyOXuhAed(NzZ;nT*0P*xL+T
zvqhnMD@cKTYx3B*3~Ykb(|j<bHx+&}n~sc<!D?tUf5FP3oT&L#H{k95nrQ9pecMdP
zs0k5OAoi~4v;44P0Pe&B`3{-aiB1r+(?AFjKrpf!q5gb&a*A#)+9-Ffx1o&`v-`|;
zt2m|){54krvOBfyt(9GXe1w9na@^C}d$Hhyk@T6yaYyXm4}}|LSlk@fqDAvyHGr$3
zv-oXn2tNkOg_ov|JQ;{3Rq43SQ`Tk-v>X?lS|Y%5YAP`kEuPDRIqs|st(W}Ws1a&=
z+hv#&P`pqWeUb-iyZw5^vtfOt$d|6RxT~4tGB3pZs%$bB3@Vd_sKjQ!SI;OwhN{Sy
z(Kvf?qaGkaYV}VFh#JzQyo0KxZZzdImMEoHjYv29qGKJuE)01OSXgdN%1dq1?e+*Y
z+$Bwit=-*qMYbj*bIFBOjgj4_iRx@@i(?)bD)(c8BW$$X8TIhn%T(=<pvK)_#XjUF
z+AyBB_ln2(ty7G;RE);2LN&%Vk=RJ>Ep8$~nT&lfAw6VuqK?w5N%mNCv$eCc3&v8G
z7Z9EkwLajG3>vJ<K5QAAz0b~;05m~{XwrJKG%?T?`s7$m4i-<`4+B44ts}8~8GEF$
zrNk!tQOhw`2hZlu_@WR$G^Esiivi{UYV-2w?`h&ke(GtT8o)2`dxu{BF4v3iLYkO2
zZQWeOAoY3lX;Gt!M@nJOydKPhh0k!{3+ZE0&0FT(MM4jlAy)iNXAJW<-bsrqX1kil
zrXqII@#!|q%Z(-Tb%laBMXBM?<pI>g)woRH>0!Hhu+3#PzB@1}si9B=Lcyt@iaJjs
zsvwtjuBWP3yRImwfsmG$GPNoh<OT#DyC-xhTk|rX@rqrr$y7&fcHzD~uxVI4KN>FO
zVj_6byI1fuS$20DSi;mKy-u~+c|4C(rBiiyIEvU^wL>>!1^K#2AV3A0R<h3k#;k}M
zl1f9dQ_ENJ^7*k=JM@Pe`uaJ`S_k+|I``^hIvMG-w^j++^aWg8QyFE@bxE7H00fhr
zYj?GdSUzrUR_8&K?1v~g!^$2gErrp0h6(F}O}Q5#qU9|P#aCKXlY5z|z@ZA7O{V4r
zKI0C2>=*qzLRmXIiY?jYv@^Z<@U4|@GId9MH9CW#N^kQEti&%tC|$_OoO!44U|zEm
zR}lPH(bQ;nLs4u+*@IxIBm0Z9Bf0LA#oig@5tSJAov4M~H7yGIRVeDQ9y3*Axs38d
zmeke}z9OdSX@=OLRw!BftEn*7MsyrIG#GtW%@`_EPDIH2{$>xzt0Ux2xqWn~2CG_I
zrh3?~-WSU{ju~d7xvL83bU*`A&!u;9S?jrF%;+fnbc^zS7{=U>WZ4_?&9d5Y_<3P(
zrp+i;F>slk<gW#2czU-RPF$?V$fXrYHGLVTQi+`iqM_@?{#vGkA&;UfIS&_v9;BG)
z_vD45YF+MLvRPX{!fdRH^>)z#P^Gkl2QWxbE*L=Ah;mQDqBGt7NE_@ed|=sNJXZKj
zWby7zzj;b;;<D4HdwveCL$B<sXu9^aeMI;WL#Qbs&{mzaS>QC5T92_AB}3O!fll+n
zAx`&trpD+pW&6~@q<uzmPoM(domC5H_V%(<UN=rjnLZ**Z|VUE$+&R8P49LpTP7zh
z^3Ywyf=jm^s8WdpL?1A}6vnCT*$+u0KdJ(w&eFjSv=M1~K%tAv763LID(aUlLsj$M
z;!tR~LJ$5GQID~P{0g?s+OH394^C?_yp)EgwSv>!J4Xs~f}Sx06sc;#9k29ryAFrz
zHFzq*nU^Ldn`s3|h2UX6rGMFLc*+vL_^P_BzqhS5)Uaq}yzLZ0O?efzwi?h>?tLju
z{cMqala5%!=APQ-53O8_l~LQ%<14}Dw!zFBC^u2p3W^BZb0yC$Vqi%5ji>%6u`%Dl
z$@^q?&h}9(D(LlNI|AGqch(aPF(_Kv*9~)W-~7rd+jqB7(ffx6!WXXo<c(iMSIf^!
zw{K^lk)kp0G5~ct^JT<iQoQ;*LRg@=d@MyVWv;3-Ht@A=h#*!qUlt0&GU{p{?;Yw}
znJ~flkJgm+Hp@b{_%46)^Uj?tyl1u2ko}k-rb#Cl-WG1($_6PR84z4yTGQ$yAc0ty
zcf#|*9&|b`0NVQ@06hFPz}0I~=STN`Ew@hS^ho#&dVm(2RnxJj{&U03XYK|(@^BS-
z_{%&d-=P^zy{?%NO%fhR)<n2s=WBpELfrdLnQo&2bFzxVJ}Tbhj0#G{_-d3OWO#pH
z7<+*2)&QS6q9X7L!qC(%5<@s$K(4#7+>8zNnV`u>Tob2<ENh<HgN8B%cD8kW9(ToG
zaJM~07YQ*1tu2p{am6#z0Ak?WMquAkhnNr1ucmznhfhz@m>iT{{l&Q5xPjgcDg8~f
z4=xG#IoLuw3y2BXZagbvfK$*DD`r@XC-Ovedl^$pY;|K(?MX{D3exp%q~2hs2sqc(
z*_k`4(v!Q1%zi6w43ezh+h?R&RD_mkC?gCH56^s4AkOKuR}pm1bBzUK)qc%Z5I+_)
zU^Ky@6P<X6J<~hCm>FtxYQs(4+|nG%sy;@`MCU$T?kYIcL%XvpfK^O-S9?;?>j!BR
z=7g&y_N6#Yy;9A6)|1_Wh$0D_ZFw+kCSY6NPz15jik-FEmDdIL8%_+(<GU!siEup{
z*!Z23b`!XA^jxrts<od=O0sfiW)E*)(TbPP2!-%&9Iy>Gx5PofaY0uQhuGqzi0X%1
z1LO?+WV2unw*I$tSF+*G<78f)Ix1Gd)p%0or%pg{e|?RF=!0PSabaV;OnOq{&4HD%
zHXof@r6bXy&G;Gx3rZ3rp!q!7NDPoA&vaR~O%Jv&urR2|B1XD0wd=Vvc!=QPJ)vic
z2yfdi@R6Hy98mpiIN=nQK`&EqpWoHG)-;+JBD_3`ZJ+%%IrH8|J~~E6Te4S^2=*CX
z1hxh0sL6%~ZenLX>XTzSj~#Lx)%QA7z7<6>{iv)oAJYi*YFc~iM##BzyV^^b&{$&D
zxQ>nl1Rf6BLJh$An?wwyK&NT;{=Tp$;raKh$0W9P(1$5AGEGZODX`x_*M>ZsU_>V5
z8fjzaOQA70Oj^!~37Lx$hlw64tR=Gmz4-zj5o$7+)x%SK#B)tn@_0ix;n95K$$>X`
z9%k)+LEmD$8F5dsh0m3R-w>1N;?O{=3Fa-FfNJQ~#)e%_vElcB=v@#iE%2M9!R^b<
zlo2d<glMOsV{!cY$lTZ5+<{V6%!d>P?@$80{pIHn$FVj29OjLdsA6MHwJ}dKzE9EV
zZ9pzH5OSxhNnw1yx2n7`iex6$20(5bFOTK<B&Lv(wYn;3g|?fIgALphl`mp<YO987
z+r4~d)oa>`Xvilke>I!SO7}h5no2FP0dl<dWaE`nCJaWm+IqscUT%E3TOH;FWnTsv
z1q{{_Nw^q{Y3z0?_@xkw>C%GpXUXr}78$HQFO-t3r#sG7<;`Jdp{&-I%^_?Wil$0a
z3W|-R{Q(e_6c!NrU%67NS7stz@gm&ZNCkvUQ@Jbk`|>DAsgKDXO=4rq>j*IZb{S#V
z-^q6(LJ&(h$uEL3G#|v5)!eIes{+Heeufci%fwCrMW7G%u+yTBOf4JzNU7+Y%6mk&
zDtf37qs%)>A>l~qvQ1<0b|)sl-pYc93EN(+-QLS?8zq(Yam&3kYYuVr9m%y&lIy~k
zm4m9i8yrL!n~<4qfNeaT0vMpl)oX-Kmcl`*p&da@$|V%r6KNFNi(mP;q87uvBEeY3
z^-4msdty>zyUO^AKrnRSq{Hs|qcn_hIL0zo{Q}phcghGV2h`aqq)WZufT@8$v)~jQ
zg@)Nrr&qFeX9z+h#O_Ik+LA|MKAHZV20l|_rMVrQ6@jd3Wf*=FHDK>ZT*Z#QXs%fb
zo>jpzXH$d4D4+a@`d0vjH>omr3SnDgwHs|F7%xqw*wTz-{oMZe3syTMM|XFtL{%@5
zo*J-VFaT!myGP7Y@ac@C*uS*&aO;xUr-00Q$^|r?A2nL50~v~}%=s8Yrl6pm_pTMp
zD^^so#kI>Z<37C&MS{iz(~YCfIl1DfPQN}svyVzGS3+Bs{n+1G>Igu->1N@J3%Ms)
zJHPR%&4e#Qq3@$zSE1XmT4&d7OD+FSyjk77z(5bXK9K)7ZK`$wheLn47eZV)48Zdh
zocm2?;J~P?`UNNK{JFB2Xu4O^MeS_$jIJxL)M3rgD=`dwv=5YwQ(f>7)7~i+s6nt~
z<nQhHEhqm$H@j|R`5<+CY0wpW*i_N>jv%J(J^SjZ;3|Tozc)c{Yvt#;80K)z%-Fbh
z#Hl1K4qs4lE_-`u{+>OW>ZkN^cTzy%S-?b4yL4Z*yZcHhyY=$!sM^lEU?QQc+lCCB
zRFxps30)!9nb$g#!Ob2nWPu?nx|V_gqH$c~^4j|yc22Qdo<uYHGLJrhKD514Ru*&M
zM)tdQNPLsg20A&L0$VXEwCBr3M@7oDXo&lJ#_wqQ8{`(c4V*J>tOSF!J-niNT3M!w
z<qa1QJKI?!H01ajif#PxWH8mCbI+>Q9kDz#Zy6RtQtooH9hwOU+y+yw*4WJCiPNH8
zoF!2f23xX@!kFq6u84%PTA&!fn#alI5_X?*><XgzoFc+7<K8G;8VfkxMdFU8@u^PO
zRFst-5ygVB^O6c4ZM6ZjcpbDfW*K0U;)0>p*LZt3cfIhLF=;?M-6%5C`ESS<pXhZ$
z8DWyT;~yoUsT{Po)K|OyeZY}vR}-uE>C?UY_)FHyUm(kaPYPJ_F=6b$eqI+jMxPxU
z)hDfO;Qi+@Qxfyu{MJZXc*HR#kp)3}iW-dVZncLs$yKfp_uTxx9Oossp?VAR$G!9O
zo?KBpa&<Cdf@)fN&b{-MV&VeWp*X?cDnSA(X}}{;iiGs!x;6rLDHdfm-%ge1dN+=w
zx2R38?K_2gcIH-A-c#~KL6!r5Fwu)Cdn$5G8#8L<H|T|K{YvRIS{ICKXL|#tUKa_d
zYh@jn{2QyK4R!!n%eLCj95e0T<lD2omd_B>ekr1eD$%(T5EWH-{KYZ&{D|7z457_A
zg{c&y?iO3<HYRb=nhbDgS{ttQ{+cMD5Mp&PmM7}J&@KynJ0e(Mx2;fFRQgFc(<ViY
zJdQyZjClc~yKd){P*hMi=-9TD-UR_w9gqY<SW)NA34kCJ|5R6G=wpb-K&_8?C0;&8
zs|7MK0DZ<;cAFv5^f!|-jbB$sm=uO;+KVbm*XzKbwok`=P*|kqO(Kgk$PzTHtH*U>
z)HeBj_78>SGQm`$PA>W;&L&jQVYgfC9?N#F8C_&~AZTT=$R;WDntRtXZQ2``|B9J;
zzFl1bh>)tCJoUaZtRiKpt2g?_)~IZ{s&r(0yk4L0c$O2nwOLfBahgmiJ2&7oxWVhE
zlfRo4pse}90UjvQ?9kwrtWK7(UJ=IF1=xVp3Z>A4gH)==RWwBTF-sU4bYlM~4{7{|
zj%-AL%WBVZO|sl0Zs}SXT~AoXFX<y8ii!-pP|uAJ6L<YBgNq2!)2wHyA=vTiLq}xO
zlTvV83l7>Os1Jdvcsjf1?}6Fa`X7S|9tvP34Q|)KqDV=Kd~J%8%+m$%MMacTWd6PT
zrl)_4)U5`wlMd>|W)oXw?-d@;^cR*`sb|9PZk7wEKk@agTkYT8voFmx$SuvCyjFlN
z6AM&km}Swa9=HB;{VcVuLTwl1!zyAh7v@;N-8)~7MtNrJ&lC<I-}T1EzD@b1nE_62
zFH|7T$k*7O3SSw>-}3MZ{#r9rM1O<sI)-)m!*^KD2lp!ov&&JWc!^IoyTqM$0;+*9
z-{!px6lC%KJ=6PQMmCl2OhQ**snJy7u?TT~UFY7|9XBU*bc7tvUL<^VGh&2VL5PUq
z=8AlDEc=7%-#p>ADU1K5B@nk9GDSRD?Dqbr=p6TUu0F;G;!H^lcN<SDKa%PpW}|*?
zwQ0`PX9VAXL9mA^B5PfravBAw2>%ZhsDfbb+4Om3tmJIkXGc0=mj!Bk0lck6!vV_U
z)<RnIRSVDdEqs10rnE=La?v^=p7#Z@l9JNi#GNEUjK59I+xrc0m1f^D`582vGd4wa
z$|Ka%)_HF(+1O`{l}XbZu*Uk2{ePwVD+rS`0XrnqU4%ANL5$A;M8fx7@fr?&$>Z+=
z{ARbeF-}cH$_q2co8N&8f6LMM_(T?0w)Sn9?pNEAAw)+anZYbJ92(_7bsDzlSr^dW
z-CV#oK|#BFZ33$Z(pc2L>BXk?b55YLOl?)f%7D%)-0>!7+J^s~ksm-D%fyOAnI*R^
z6xFEi9b+i}ga7`4^{<`2Vkn`OOtEx)y5(U{g*y<6QZOT*z0nKqhCKfxf^J}_v?mT}
zD*n6u0;*1dtIX<%e;qO1S)uxg`#k7UX2s|quEoW6H9d-ShLcz)VX&B-LTO}E{Flu>
z*!|ycasgqRq)hu+$QA$ipO^nn4P$XCG<5=eUa}`ZPTJs~m;W}){|#WU_<u0?--SU`
zRWzv-I;K*;KOK(BE7EUNT(UBVuM|5WI-!MJ+L|r8x3jfcrkgztalAD*BT#=>`Dypd
z+QpC4fEW@SCWnsRNWHe>9_ow>aQb>!VRf{g(pZkQqRbDjssn%qo16VpaI|;*hOM8=
zBn697csSdbS>XvGzsAjDl;I(twg5+Aml2jG%SjNeJSFS3T`h&h*O5-JvVq?wjf4wJ
z-jsNPysKJ=DfAd-!Vbqz=PG9UgLsM3hGs2fBzQFlHpH`GiC0!b(#K_ds9~)&g<i0!
zq1xrGddq6(hP|y&O21-DPo0>lkP(cLV^QYOl^l{2y8bnL9+oLFWJwlNMVGDa;ffTO
znDvckR3}>IvU*e}m``l$*DXkZC{pf`y^ExvTkht;Dl~1UA(pDiQZtXStb8X=;*POw
zMthGXOj}QDC(8mZ7%yP}CZ}PLZwdI#ks=^6@>7@h5)XEt8lSmz&Y(Yk^|OB2?vDWb
zOU@YTM=fj@YgO8RxZ|t;RK=o5b-0`Hc}8gz5H0<dyX(Kq7PvBA&0LpJK$5wM(Ih$6
zWJ`U|fn||4<fT(t^;|{8<5LU1v^d!cWSC`0Hg00ywsB))NF8_Mb^)OM6@x!CZzA@6
z-tH2P`etDdSMYAu!+uB0W!IvH-|1$y%rj(oVyqPR;+ZZ&TFv}`F&o<#dlo<ZjUSri
z2@OUNHrsLW`)AZ%X<EF5yOwqNQ@z3NqIZjmOX=!h|G{p%(-owqCS7GP-X@LgIb1}B
z==oVRR=EZBZpQU5OiB(oE;gbl^O^7cdPK8!ye<BqN0L@XG5Eet25AuC1V(sf1do#4
z^^AIo$cp3R-t+d{((+AOns_*~Njcm9Alvgz$A91hD?uV?dnybC+gVqJ3$XoZR~`T8
z{vv<(M$G>(bCw41yM6gA@W)Z`ckiK@!XKsJ@7~w^-=hk!G~(awxl#KcGy2fqKW4o9
zvoq{}_f&ZQcz3w|?s;7N|C!Ktbwb^L)H%g%vfj^_UF7LiUow6&;2%TJzGh9^#|jc!
zU`2uYE{`Y_WO&s}>qQBiV!blKr|WS3y@Im}zwxjmUQz)v-<_)9q-U(Gtc>zq><?h>
z({Ou_{=SQi<qi1z;n*$&p&|eH@*RR@2>xl$bADslpY~zl|8D(XhX9K?d}a~%KR>(>
gn}6)yRTLdA;k4!~F!kL1_jVcR8s9`-fB5o001)e&G5`Po

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps.png b/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps.png
new file mode 100644
index 0000000000000000000000000000000000000000..c827f27bfaee7e2637d8171dac5f302d1eda05ba
GIT binary patch
literal 61361
zcmbq*bDU&Nvu4|NPuu3SZFAao_q1)>_Oxx=wr$(Cw%>a{+;8{Y{b#Fwr!r4vM4ree
zBC|3wGAmS0Midt62NVDR0Iax}&@TW0;NtK6C<NH|XK|wC{&xas|4UQ=pmGxX<ohPT
zNLAceS{i`zI}ZT>3Wx*%{1?gh8vyVJ0O)_^0RSWbvHq3+1xWr68Xy3GU{e5)f6%CZ
zr+>X-zOQfYf26?Kfd8&B8|a_Zz{T0X|I7o7{>5h24GQy}K-!3@*#iKek^FT5ivJ?M
z1_0m#5EtTCbOAiq0@X!XTI3<1?T0{M>e;AhMlqY$*4cPFy`*_af-0b`dTpw@d^A(M
z-o3nx;|oD}iurn*Jhxy;ldjF-iyPvO*;q;CbiVYkKUz0<(#-l5gTV-a0RjUA2I%j@
z-;J+}K>yEMJ{qFw?4&AdTI+v*_n#!f-Q>lEME@7=48HGD$6baLk-sPKk(ZOk``5$%
zqhenU-|y11egpc*zb639%l^ajKSceX+>SusrHi3Mx<B;(UTzV7X3zg<=)bv7L4ZW~
zE0Cjmn0o&w68|QM@H2b;_uYS>HV+9B;ipc9>u(zHpE&-D9(3XU{{Z>F3yYB<FhCn*
zxWMKh{&y|>gBz;!1o;0{(O-pfWC-+7W*IIpg@}Jopo^k72mT+T{!1a*GWfbE^BgxA
zQbd1G@Rx$&|3&^EsPX+j6nshwR8UYb8PsCM>HG)QzZ+5LyCP8pDTTy;Kr=53l0>UT
z$-~2ggodWfYu#PH`d@%!3xf>fX?;cQ7Dz3C0Wy5I8ss01vRNnEK07PJ5E2o=eNx2$
z_?NtLX@6nIGQ+yW@=weC7vleA*JR&1brjHJ`4`837)~||;x~Mjxz?4Ie{U`_-)cP#
z=(YI2pkPV(jo_-#mgd^uTTJ@5bPJGyD}QguzN>#B(-7L(()dqgAVJOpkHW*kPKDh6
zhgNLb3Ag?ETkc&tT<y31Ue9vQ2=ut~t#{N?l7H9KZrjN3P8EGNWNo$iccRYY{AIt+
znSrLEe`mjJmESm>+I~DwOkn-ZaN*nP|5ulttfQx4_&YTWF@I};yArRf#q}Q+jt{if
zWSv|$#iLQ#`Dz9n@{fnQ@adi}*Vv6x6uGeJJ7I!EQ3DyLrV@o0l}!9Y>Qe$BD&_K+
zPR}=qa5NgjtIdvwYdEQR*uRFb?iu0kp&?N^UFBk~R<^WN;Rx`Bd!WDXQ~#fx?z#-Q
zf<ChN31a`~Xz3Xj3L2V(le2B`XkkA<B=W~dYzkEmho8T{xt*y(BQ8-)ax&SYCf3v1
z_Gdyuf<*M%ff_9(<>;r{&f9d3AQBSNFFkLqO?gdC>i4pUcF!UrBBBC*|Iv#)et!N$
zt=;BT9VOm!xDbDEcwEFyl?})9z5UqzCQ-lfJ6<Gm+z*b@vn(|=wO@*gik5<<SVd<B
z-o;R9d#*4gjX&qJ`IInJRHV(!%o+?_93AKHT^t-7q-9IwK3(F3BmLBOZoaIqR9ox{
zpn}5D=@89J+d`_cvc@wwmk8*S!m6sO##0ys->bJsq2kS#DjU3UW33l4(a@ZPPHz<<
z!F?klU}S@%PCAolG$dSHnwOUH3D=8c@v6q^bj8I(VX#=FitpzWQZRy4T_phl0Z~z?
zo=i-6m%6+8tjoA}50dC~XvM|F<6>g69Tjx9+Fk1&@6_sy+22@e*6K|aA}jF_5#=kc
zr+fo|R(Is8v^yvvoKR+;%efGr-rn9+*o2JihGPg;d0k>G%@#@%^=oZ*1jxYdj;5BL
zGCzXfEY-WbIyz1kn%sGd&-2H}$4B9m+Pc2mfjSC<!!f^iw_R6pt|}!J(LXT2epdSi
zFs0W^oR&m4#A0Jlrqcz+Xc9HSIu>=g)ur<jDEWe7ZP&fgYNNFlN7S}VuP=z%t?J84
z;rV=SZtly9IoPwa$ZJO%b1VKdA!9HSOLDEzazmEpsZFQL>%hzXm46S}wSejdrvWy@
z1D&1rI_;ykqx{TO)ZYDUu|j}<>ktt8>u5YR?;W3=U9Hh#B{%u#uA&5{+x?+GS@Y`X
zDq;@h*}%X+t4u+g)p$Gw>ODTt#rosziB4tnbEZHt*>3MgqVbPu=Zn<?Y{A*tSrmAE
zdAy;RQbTC#L4;eBw3LVRy|v!J@P7E_*0=#0Nu!xu;mS70G|ytj&#9w2<B2~|N7#`#
zn-M#rx2@hqSzjAY*Dbc|RZ&6kc$W#NlvHaa3S>FHEsVJ^3@+E(c0m@MbP1+r5~ShQ
z(uie42PRXQG-Q!@Bt6rR8V}@cv4SLo{-XB@a$ke9<mEV>X~V;@L^1r(xPma5pPe~!
z9uoN~O@KyZsWerHVp38G>FL;2V{=#?W($<x)`K4jIaercPl>%t&#P)yB>0k#6n3QM
zL9WB*gOa!}K9j?h3TYtZB`+)-HZT`2q|Sl_S#62R<Mm7N2dS&D*Y2DT6rx%0mta9K
zv1rFm0i})WZLvK7aXevN{w|Z<zF5vsWEiuzJuhZz#r&`Cy1*tzgV4SoI)A_`xX{rj
z6LXnheh;|DCDrqXLD?T{niP#$*ENaDXcs!1EGf1+9250;$<MZ%wmY1yYOQftEX$Dr
zA26>qn2TbZ!B{R=_Z+CHPn4GGP^;IghJ}xEr40l_U0Wb7OlOOAe%)X}7%SuWh}!AZ
zK}I34Kb#XF?av7TdG;Ob*X*H2gTZ>_fB7&1Rtg5gIf5a#5j1vNd>yhTnn3|vevdX)
zgDhKMAl=|ookDNCZ=aLg8io@bl86T-;K*Z>a6#M@^z*M9aj(@H3nbORj%FO{gAtgK
zf}gwLPe9x{KtBQ`zF{Tlluo~u4)^wprc}EUd4qE-t78A5a@EE40R5Df>)V)}-R;Th
z6;GrNzp}I>TPT}F`+3Ys{8%P%kB;;v&ERsF!0R=?^*-HMCrjK(fr8ITp3R@VkNPTE
zgD=nv?g{Uatf;6-{Nm~Y$&a$n)etx+j!WcC9BcB+wIC;O5cyUd7aq2OgWNT*0%UcI
zFwm`%Jga_{HrOuzx*Mr}OvNr9eI!n}&TyCPv)1B705TMam(3s_<ZUpdDqysPECbF<
zj+i0RAiKP2rgb=+)9L*8f`%wh3H>bcp~U`?_s2srGV+o^@bxaOYBfOHbGc`Je*N$W
z{2@&W3HZ-n_08~^dp#i4vJvhZV2Zp!ay6xs#XGA}1~r~cg9up3^lU&My6(nJQU06!
zn6rr<K9)nv3<7~eTdW{m9_jBj=1a7*^zAv9P0x8a!iuFIZ3acHtcT5;8lLNg1inFY
zr^772l&Dn(@jgC)3|}KowjCE!%x;D>xkix=q6>HiZu?|;w?FLX{Zwdh45(g2rANq%
znT5-7lX*|_<B6M26fxb{t$M>d?S|zCKMyO`JjWmB97Aw-h4Pi2bs@}@tEeexk{%;P
zb{K<+NkJs6`6BW(OP-ml`<}Kd9w@H#?vx6K)C!n<ww>GO2z1p%Fcjg{dPT)4KxsZ{
zf2D^mG}d?dq*fUoUd7k1<HRW>5RSB*Ir=Q8Fv3IWs-0RL6H;o{SXs3x;15QUiH2Cb
zWArwY?WN&C2}PhmUcipPOfeyO612mY?%a{w5hl7KELLcjqCJ<NQ$u)r-5%j7WJiDv
zNArFb_X^3#@LYoCqB_X26fKAIlqTDF1nky&HJ^*YqyV>uw0EfPhb`fw0MRavd95?H
z7de<Yl-7s-Agv&DD?^$A@QhlPAGro}!j?KilE0w{1oRn21qbx1lf9-ZqE~|3w}=H^
z!7|cWG!q}!4!eR~^?;i6sH~iFdP9n}#zSMjGL2=K77P`K{8TNJ98aAkFfOl;!XS?n
zT-67F>h^-hdZhSVVE(1qZLn^;!x{UhNg>XjMe^67+e&hW#G~P4;&?B0hsr5pyNSM#
zpA6xZHbq>`lq~8)ytThRy*9kk8-HfVmjp|dVZ&pimq9Qu?T;yEp%Kwtq9D#jwML;;
z<{v#|um^dnt0M46Nw`hbP0!iz<3R_mx$v0^uDEKS&38yc7eQ2C)PRj1>WWh5MI!zg
z6PzE}s#fBu6fXlOqpU9-;2*&sfrd|*OU|Qsg3EJxLbG0Ip_KOYrmi0lW^kQsNES6T
z%X$XaBgox9OO9O+<Ik3;fwLa@73a8&0wj~E6LbA6UQUj(7J$WgM!eD_JCL_Lyv+p^
za|LZom-7!g!-WPnXzd<~2w`WK7C|>u{5}M`;Xi#DJnH*};SwO$fn5QIoZEO`<upnR
zgaj!vE1`MutEm09HSsB2*Y^1qNmsHO;NEpxZvEeP1rIVQwlsbL1T~_|Ae*kr?C&Pi
zqvf<EU<u|j1PR&0oaBWmd*TVk+4qq7PIQ(lVF)HEaRg2Oe%hyxh0a1YjkI0Fs(ry9
zTV3m4*=&3<Fx0JQg1abJ0(%jbups9s_7AZ>8)gI-*WAZ{LwGd=*aSZtx#1>_t`FUF
z1#a>(d(MlDde9og(=w8TkcP{xNxOQFs&~aOe>ajmr4}FAAa6;av1gHR^ZL^%xGy}4
zXPZgoy`T5;j24T>t3?eAmcT98_F3BbJtIQp_%awePHjCY6ENy*a5Zm?8)IpXuBaU1
z!a2g9DY(HvUA}PN2ABr~7Fh{5#(}&yC!ffPnNLuaZ4)7KjJb25#mp{%NJ59<PITN5
z1^sP53gfxbk`-YmxoZ8~C@oD0N`hI-X%Kj3>Txv|>yOU)wAM9-$^pddw{4omhB5^a
zmZ>V@eP!n8UA&p0R5-WFs>w2``orAlVR<PJbt&%TpfFi@vG0!a*l$#(_VG@!$j=wg
zNh!9c1_^apyB9c3vd>2q64ru{;8Xs(UqmuSCk5m+uulUGhR!7B`2}PLQ$5TdE@nN5
z#HY8qK=oH@KsHE02>@<NZydG@t9?N=hWEAEK59W<SuB)+z@L4zLNOWJFhf*gzZ>gh
z%>)8$C`cZQ-ws(Hd8ZoG&JJsYu~)bcu|sGHP}t*2agpJXh|u8Mow<G-VnQ}t)uvz;
ze}Iw)k&qBb_&X7i_Teo&uzKZurg<=OsY#Z4gMci7Rka8NPum8b#$WwakOz|pcLA$h
z06)XR?DMzfSgyt5+jp5pz<96`?4jYsM0Tun>oh<`8pZXxgY|cp<rRJxXLs5%ypGp)
z^v1jg8~0Vq-<dwNzao-d#79M$KFPijRt}9`)OoXYn)kAnU??!y9u-+BxxK65T-D3m
z#$K30L{{eX2)-DNIvk`u4w(9I#?&o-mTZv}1lE3RdmQmBb?V+p$iAhM&D-=T%Sj&X
z3aM!5J3ch?j-QUM4VjYdwy=2bPb{+<daoI6bh+ZX=6}Ej_JK3*`PWT5$VM3ry{syF
zT(2EMbD^B0Q_J^kgZow#=;=~_cEi8x6JxyNH}f}xfH5WT386mcr1QSy{{W^jNFIQH
zpU0x66=A&{CA{?~bn)mRgYHHT>;8EMZ{#Z*C+eqi3-7@g{GP2_WVnCjd}|d5fcNgS
zVeH;PLRmbOMaa0XkB4bfx#?L@l+@SniwG?W6ke<wML?rD81p;wux2nOXuF6&JA$B5
zzSaVU0w{WaImZB^dc>cAq$;FY)j*84dW2dGfR@u&Axe}Q1rM}%R-??ur<n`1ZPmb~
z<F=L(yD|}{k}>Zses;@>bLC^hI<0F>G@5ehQ_v-KO*pcSqkRmKLx*E9-9`01_LeX0
zH-ysU=IO5*gLn@sssui-rGR1Crozd=j>L@(-*v}h<dK8Y5$a_sadwT2w^0dT^db2F
zM%~}h%O!p|q3V0U5H6{uG!No4YDoEb0P+>2S6YxGWutsD>H;ZWe-NGyS6Y_ugiLt^
z-7ye($#`y{0$x1)LfqwE1eMq%nWYAz$=OvwE<MClR!0?uQz<=hys#(ez7Y9sXCvt@
zdaz|tTF2X3&)KHibzRjMs@+5+PI3(r5G>q76r*g}&_4hfY5?q|DL%24@4cXGg92U6
zF1p8Eb0i`kT1k~Z&3WzYk!byADB~b}KEZl&oxR2b^x=GI<`^rHKc-nN-<>O}6|y%m
z(fRUew}pMI)oR)E&gLagQY(#xWAnyrwNiQ@_`_1Ahk_8?PWddWql%?7BWFSMcz543
z@LG=5dIg19nHvrPIod!>KF)Bjs_{fDiXe5`5hE~A?2bcF=6r_mBI}aIeoajcdphb~
z?b2kl(m_3ga`s$HR%u-=`Vm|5^VwOKy?1wN%QTGr={HgL3zd=mOVs0n)W;Vzgd$PX
z{DelpiY5BKAA*YyY@(<Sl$k?b2nUI7g0<eohrW(UErt$n0LKCWVEH2ggUTbAZ@>e@
zVxUP0&ulL2Hu$jf?rC6Y^pkD=np8osNNHgWL?6Sx5I*o;sW*bxqGV6EE0*z|Dv{5p
zez4xs{_OW^8>IRdu+c_@_!qFVq1DcBf|z<~;)p$aZtMuQ=+Yc{IVy)pfPj0WBVF9W
zo%e(49G^);u}aK{F;se97@$P_?#{jFr&69<@kVYiu1)gd13cOxc&VP`@pAtIc<igL
zX&n#W@DsWrchTaNkEUKJ&PtSD3Z?e?P{~2MtykZk+{luSx7LnV$_OJ5?h2djyUy3E
zO5h&zN)O7_{HgQh`pJUnxbBdJn~vv0qRPRUI>BI}hB)D=`k0jaDJ2ljX^CHHuYSg!
zRl`>T4RE3@yqg<R3SpTVv1AOzAoGZSQLS+ne>bXcW=&<+>5`MF5kvID8B3Il`3O~N
z?7W;SNDBG)?C*eqp{rD+8&{)@R_W$<2J%ib_RzQg7<hK2Wy3!JLsr%G*;*+%u(wH>
zglfIEYCwm7Vfkv1bc82pbVh@TZr0)HFx0wJPl$KY!aa0~%jR>4wUP_8{=yC+3IjVW
zm4OO}JH&}G+XUX?)ND*m#+dW=z3l4}2=HR)nL2miC5U2VcQf>9T?_-5VG=4-NT3&C
z!fZ&?ZM$%fiUoUjK?BsLqVEVgRI9d`*=Oe{!|!O_{+8Qe-F_3~9t+jgp~Oa&eq7r(
z#}P#ve0E?A{2S}?Ole^Ziy@MS6oTmtzZS$k;gl!Y#veG$bPWx{Xu@VqXF^s>e+T0?
zsZ^Pcsw4|-rF4=LKCt~v8DO7nij5q3$+*5(IsM)DazhnL;4HiS;qN2`WT20yYOc)5
zD8c7dDN^mKV2MqedTxpwV@tBHU3YKl;^9bH+`KW$u06)+x2Gf>gN9mn<F?Y>crK@M
z`m*v!QGIX2pF^+JgJ)jE+gx6!*)vUy1i4Tsr|o{P>-JOZX;Z?DfBDYu7p*<Qtyrv9
z<pgb-y9AV!65pQjfx6J{-rfUSpWEBxMcJm@641%X$q()Ey`CPia5&S;+A&&t8vRCC
zpdnNsW;n<5I==j~CL;_6ONTU*Q7>?3l#@0H3a6WkP`}lXYB&ufTVy$|j9pVa*PJHI
zGS`xyoE@Z3Fj_RuaB8$g&K@%giJ}%;!_RGox8gQNel8cb7o?}m(SZPcXSNx9)**h!
z4<9DOG-T8<Y2XvdbsS$<?{hyGq2vZ$Hh6%H&G(~v#`5jQT{_Sgz0V-W40XfJGm^Ij
zE?8kw{2OA@*q#;!V09c8IIr3jmV_$8FMe8<ra_Qb`2r{tnX#$nKb_x>&EEG~tDG``
zCN(CHy5yWOxL6j<c?;=R)jZw~++8*}Re(wwb$^N(piWf<sXhiMvyNu?Cy#9iDvt_t
z^E@5ao0(O-+w}Pu-}a|`T+4u)5qMLN*xhx%s4kvjkkIyiB)K(M#YC?&{?54-yB+m*
z@{~<pt-UI@t{b!Q0HoI-IdXE>aYnx6r?HM1bMuZSaVU@LPv&~`yUfB?(!6lOxn%7(
z5Croz@Z-x+lFQ4h(MCz=m*xFX#CVi+dt5PjXj3SXdA0OD-)K`|<7FZt5ms+7BjI*`
zM4?Q}6OB%)&}cHNS*+0DOk6{j<&sw}SCuDFbbh|xsWqJ=Rg$V|zm?Fc&RFt(+Hk&*
zTsX64Olqz75a<BAWBcs^av$n>FR&OOY4Z}7Qa3hj`V*7NjaROaW{^AVTo`yqU|mId
z&=K0)Oo9!qc1U1j7oCI=8_j~&MhDsNdJ&|^txaYvg#~_ex><vS+qwyRe2s`(e~P;l
zNTAv~AB4{|Z!ECaQgdH7H2g>D+UDlr4rQI!b@t%_s(S`81&>{E<%h(8gV<TxL26Cl
zEP1}a=E9rg$<nUfN_>r~-$&j-X=j(%UQE=fkQwHt%AWv7+fAsYFH2-*n1}7uMfu!r
zv1rH=5L_3c05#Q=sZ&H<#kj6yM99h2u%0DC5q#-#e-(XcqtO1V7%OE&N*Z}GA{ax=
z6(M2$U`q!u7gJtyt+^=c(EGPBD&e_?+Ng@^N2f;Tj}EPQn-|e!)*dX$zg)7DjdQ}K
z(x~S~x<&A#)>0M#*qTd5*8;pnmB%EwKGQs<J1*n039gX(BW<~}5dPVAJvs^=MSNfl
zZ5m|R@&4971~<n)hC#V`7MW=j>>7uC(7xjATRZa<sQ&~w0qJ1phyZB|4Ecrh%yQVt
zMP}upOLGwl3sj${lg5;WO4$fiT2PiuLD*Q(&{n>rm;I?-FbG0Ca(%qq&_JVB#piv$
z_SbYfDVW?BYFf7oUw1pJm~3o++H`N-==5~YAxm@^#55VE>v|_l*0c-#Uc(W4yxOXI
zdpcjqgRc3hvA5k*t<OPDK_R|a*?{&=OWnT@jF31lpC>XhC(BE-q~)BEXZZ0k%QS_(
z41)>M&gV0NkiZ2gmYC7?z>*TAhmzYJ$b6gs5~(cCtJ(n#$48C@mt#)SSZ8yt4`G;5
zu_eAGNZ8FzK+jXbDVk4?Gqi)_b4w&m8=%}EP5e?eTB+{E`|1J_5Kef;OzS;<fvyw0
zbK@)^Mjrc=lu;>Kl0I!OMPdVxP<_1ZRLg2#Q!f3gbhQ7=RB~#K<RVv8(8r9lEWWcR
zTZ`H=O^4F7h11Y<HyLRk51;!_I@w4IR)P86PlD-+xWu=vDteU)M<H*u<|7>OsjU*b
z-_eCfBT4hTfm;O4Pr~k7gPN<<^;L?0n9oT!($a|_Q^$;cpJ^P7F(*sN$cL@rD1H0{
zj`o?2?n6{})Ek<iNV|$x66ck0;meo8s8O&AV7(7btzk4js{8hb3hH650H^NEAPfzN
zNu2EiIYMoX6oCu`&W1nTtY{;!#-2R=gscLuDH9~RjE}^nR83YgS)fzKV*z+|PS(!t
zbX$;c*XH(hKWWvPpA;Z(A7Zs@(8mhrDOAfhM_X6mEFmAFW0l^z9wk=xf6A^L%u2ko
z7$RJQ`7Uw`@c_Bs7K<q>`+j8Bdx;T0bkUE(Hb^-6QP%<4iT}J7>C7L|F~GqHCWOKz
zc;l_FoI4hZo!G8m-!9;v$XVZI<+N2Gk35l6gvM;r;C^9pNGK`nnrmBX7+FdA6GIgL
zc?$kXdOPrEEK%03RiNweNWwxDzC5@U@#-4gPX+0{6n*o65E9;kwj#URQtAct-L?(p
zw=3-C6<2E8n`KX!%xuAp%XO2!DfTL+ggV3I7YrBt`&OXKhcY7Y!Cc~zq|6RrhcYlm
zrw7)v<d6uNf#rRdq4}u=b9-RVu(&WijdfAKC>)^or?OMwlx<1HtF(^TAZW|;7_k3s
zTw~$HJVQUc|Il8Z!oljN!a<HH|FUzfh0KcrhU4w@FzhU?S$!0Z(v7fevf+!@1YL4S
zc2X^g5oLtGWIn{i*{WfAzc5Vf$BMb(K__1S7CPog-&@%ZJ!LU-XP%+w?UWt9JJDp9
z0Nj3MatB*7O6cBAY+n!A32arT@Tafa9~G_zN>iR_caZC-t2JUq8+>eJ=6sH_Y+S$8
zpfIw!hfU9?jaD9<tBWwI%3_=FGUbX{&!Y_I%)8}|r_C~`)7^paK&YY&gp%*Lf%;(p
zvdnZudn2R7REc!y@CxtsM;9YrV&>8Phk3rZMsnKEG%#NYgzAn9lIm*r4C)fyXeBJ}
zf;C*9LU8HWd6>~dxPVuEz63{Sz5I;88CzmFIRGF0MG&ad#WW!f?})8zAsc2lZE>2b
zfJVrvb3pRq<qKHmKyXJy2h>rQM^6`y=!FWgcd4L(ji8=4LbdekK#*(fh=u6L)vM}l
z4U@^u7r*!B8*R*uLqOEh^H-TOHZ@jgNxOxgs|6#Nw{wFU2f3M9r=Jn;9h8dcFgq6o
zu38s!_iel&B|Q*nYjGUX+FJB*J6d@B-4H<l3NQpy@H<`6BOTrWy&ATynkz>pM=dC%
z7>pVUph|r&a*}BG>RkXPj!ITcJ_y6a^sWd$k}p5Rf(EvN%ta*#QG_q8F?sl=wo-Yf
z)Zjt!pc3){w&;(%mSFWg<foz)k4I_6;^<u@MFzI0qNmP@qa)PGr2ASW%r05jTRw!;
z+MmAmkEESPUpBt-l&}MQ@hRD4CQomJxEN^!YBm!)`8GAVgt(ECi5#rF7u7L9v$I>Z
z>*Fj(A1f1T@I<1-mbi`A@V7AmIjevjYW^5`%XlDrz=x5m=?*!Uk79E7;;ucaojIq8
zPmf<VMtCy44sa9JW@j|ey(-3TY;&hVGZ+EAVeG9vvd7Y}3Z6X3@GqF}jpuqub~Vtd
z-^7EpNmF!<KuF25b?gD(t}Tiq?Z@EKT|K1U`_|MH6XUg0iHY=Y&{WZ!(+R3?09g}0
zclyhmTqjt~033ufYrYDqxtV_IvRAEnUthAumIK|cskYC3B^4Pn*U8$a6OCe(#M~}t
zCoK`=?j_k7@#uKQ68jHr@}wa9jr}$m^sB|wwpsyeZ;v<~LTHl^NsYmq1$gecojWMx
zznd2m@h5tLW{7|aOJ<f!X_3}{wmTcP+K$aB9S7%6y+={TMx2+x#jeqqB9JMn_g2qL
zN2U5Yer1VBGU=ml7S=~tVPy0Iq{s2QIfpx$J4eDmv9pZ?V6WJ-7w{Nt^i~vj&poKY
zlwU10f0Yi@%g&=LR&PnhTfxvM>BnM(z?KHNcjWkk{><t4J>ymS!)i?n4u>7%e%T^g
zmRoyzNoln_%?Qjmzf`!tZ@2*i1@%jKe)H;&?~<~ND>d~vQm%l2!2ZioRx(+Z$FEGc
zQ;Jk3(>SRV`W~JRZSN+_HD$YBXAd+fgLr}<#e6Y#`0Xyz1%cCsje<VCZ>zg*<_=Tp
zv`Ak}OsQDqX0>Rc7VVmbaGLdXx|h-~RbmD%()RH}Nu1>t`%+_W8VAX{?s{a2Ywebz
z2nlq?<&G*`Tp3?$NpCq27d~-!><P14W-mvs)^wNzPw$sRPhUHEqszn3?)eyu_!S?D
z9M)O8M0De4xk{h)H*g8CiHhs)Ln3>MJ^Q}FMS*-fW+Xc0okD-Q1rfla%cwjX9!Xsw
zOw2RZb%5R%Nk8zLzE0_^X>h@O=|F&lpfi>dv{Hzh-cO0H=r~ac%i-Hm&$P-)oznDJ
zz^{J;y$cZ2)vfO0LK7SAsrmI{--(|9a_8NR#U*rTI~kSRX3piE@G@MP#eQlndAHhk
zor#F?)l(LAS$gr|X5vyge;pE4(VW5)oJlCjY-uw}kWQM>d0Tj*_+2(kA{^tft_OYG
zAoRBqS+HUIox<K8Ee<igN9*}|P51i06YdAYvT}g(FP*uqI>Cca`EvKi@OM*zV0+XS
zlOkFu$~|_%!GbCykeeW_D;s_UE*^OF-NX&5j~*#s&w$bh8wZCFx9cTBo5F6o{HT|J
zJ8V7%yq@y+4l^7d()X|Emi4|ZU8xKV>uD^@!?_;6l+YnBa_|t*<|5I_<8qlyHm6Gz
zH4z&2pYuy}ZiqMruhI&LFXE<Oz!PDSB+{rpl5Vk-$fjPtOJah*%ERrBn<b2day4}O
znR-o@f^y6<ZtqCq-E63nvZUrb!!{Ixj`VU?u^p<o+RDNs2-dT#@*VlJdI3E+Qa>1>
zGM5n7Kx_vV)WeOa+l(N%e7F)Dssnh*fkSE==56aNh2kQTweYvbk8pN|RV(wjby~O2
zi(ygkd=HLZ=d`G!tj3PUO`U;huL{=ZJGeh<P~kVdf&jfoI`GB8g8g-_VAnL7(G>{f
z?k%OYLSf?MCCsC4i<T)(?2^yxl2=7pv|qI8BCEBQkah4nW`PAlDVi<hI<}+s^R(V?
zRHHHZ&&c?ALUS|Q$xNOoD6tIt0m{a=AF(yk>UhR9o}AN>pJpAzj3^|Wct1*21<~hG
z)pGdb!_wQ~YEz5V-rnA*+XwLWx(|M=TCdN6mI~SAoem-K<3iGwjQMEE@$r!Y|L1!V
zC1qtHjBHh<l+puUq=92DHwf5mZ{-Jbd*6gh)AmQa6CL5Y1q(>kT?LP56##W>ToXEx
zGm+u?G7TdXdd*RJtqvh#5K@(;wS8wHNt5bO`!iQS>o4bAD7wkL_M9T)rn#6Ede!SI
z45=wy1c5pA;X1N|vHf^ShAs#R#^FYfqJs-Q%ylU4w(Jiz^ZC4L>K#D{Cd0CJz<>~f
z1R4NK)y6A()E~!64im;h9OUE)h^SMr*Kz`f0m(7_^t%=T4Y3#;qJZZ%VyN?$)yVxr
zqn)t93c%PrFe6~{YKQL5GE3fjoqYtvTE6}GMvjx4H$VYIcpvV%X1XhY$rYIp2Bb6+
zE}}p)S_nN<pb#cjzSm5%t-y7tbFkpwkx33#XbrW%H&lgPp;ILLR;djZ`9SK)6OOi@
zAg*$DlcXPyheTV_dMZ386QK|JFfXACL{!$*NhP@m@C%Tg`*zR^4J!r5Gi$_KKt{d|
z3n5TWssn9ak-@;iKToKJtUdas3EeY;bD=;RkFE&we7&G0lMpd<sJ)JxtG#wW3GsF~
zkC(OL8(j=ya*pmA0{ss%3i6Z)+Uu8=%$T6Sy;}{g&0KLkYTf6&kBzjBLeX?DG5dT*
zOfV4<!8RM2EjgY|vg>4L-z0EtAih`%-r=SUh>jS}cqA6aj=f~rh0(mFN41MYO4<d&
z@#1CIB$f!syO|4s<>b<u%yPlFzoY$6uW79H`-(w~@dEUl3=$^Hgd9kWOYGrCD21ca
zyc!<2Eaa<@m<Oo#Xcj&<{djvbC>Xy=mgA;Kjj9si=mX+diaslsX*S<lKCONjkJN$=
zq>l2sPR?7(ZnxWrk8740(F*yM8S7!sNf>S7Vn~>Yy|FG`2XJVvADSyM#}2yP{wWPn
z@GGTKSa=bA#TYtjozB#6_wv=`*`^PPQ_Lt#)^;0N=>*4h>2A4b<tItnRHjT;WJ;wk
z$<F3eum4Rz*M9AX*751)V$b)q<=sWEH~V(g1<zj_5f2Um5~9U>lyQsEMJAhBo{ICZ
z@Alcl{K-ThfYS^=$yyWW#S#qs<0v*(%|$ZZ+g7cLj{a$iQAE*c^J2JsscRq+7e4;x
zUNETx3+$c3#M!k&-Dt^xMAV}wx_ZKs4ZZ|TJPR}+$b+u@?BGx8P4WY>o@DI{hl@xK
zYGU`kM331~UV?y-oAdxz32|&!c6&Ld&gFd=ui0dwe)bod91FSo0G0AtZLq|Cm}k~V
zo%g_*c2Ks~#uaPB`P{24JVlBA7qvIwV^Nq<H9V*3ND+|opfgwE{1{uMQDlgst~bAn
zxhkK6tNuN0i&yvf4+<TpNDJV+lC(h)i5wEvmEh8kLoGDEpvyg%rCR8p+Xv^lq47y1
zULaQ#G&)A}0Kae;4)FRuxe$+vVl}z3Eplm8e_@iXXovXeH~-WOffN%1J=Q=GtJ@K7
zsb6ZE#o7sifus%MyPzqN?kS*uG1S7RT$ks!oh-D`wlg8$S9-!WvE9gyv6Jr7K?vKZ
zdIwC_ImdD)z_Kq&QP6x$+A<tIj07$kGsPiI<drk;^4RuN2jlm&sA%v(U!(vz_GZ?`
z?Z^jEE;e0M1a}i$$#CWkW-lVscv6Uq3e}*mr59iKLqn^YC&JC_?4*i9ALLkTlf94B
zt=5&wc?v5&w~=|aw_h`V$rK}hnjQur7tp&Mz7JxwH8v3C#$7$O16^|7G-_g$rEJ%Y
zqb+YcZFTu1-~z$B9w`XL^Fe>+SDOr2vPC{DD;%xuw;t2#O~XrvnrRjf7$7r;ph8WA
zcK0YuCa})6^IFpl=k=<)G-I~lSo3MM<Qcgt4Us2cIbqvlaV8lKqYF}5o$v{L3;<;U
zn<AGFG@7hbp|^f;Ahv!50b6uHPrq0#`wG(f-g$~~Z|+5s*~Sc4&5vUsvtV0G8fhMI
z{fq^^&0X%t!O8>sZd>v*Y^dWm0wDqI@nfdu(wB39y0ZhXCRJA(D?2h~Q}U_Dk-DkR
zm~ff5zZO)RMH07Kaz;bT$bsHq6b@CRN`hs}MdO;`@pO*e%R#dF+-kik(cWOBy-e%F
zz$?IgI%6y%GS$QBf+QQ>0`q=yrUGR)*W^g6rfi~K-}t(D@DtD7_|MxJQ9RRIVmC8a
zST`dbuNR{Z+A%vF3ybp4N^86f4#%W=?uIQh#%n}dXMO^Yxe^2x*oz>P^DDC;Hfs$r
zX!*2b#9`dk94OxjaC<HpzF&b>xMh}$)osQrcMp&O(_K5&DGftmUxPA?nvJRU*Jkna
zUci`?u&v)lzM~S1eHrkMle8U3EGPkUM8Y6QhwL+bI%ScN4+YG0O28Zl*xLok(r%)n
zHtlIgu*H16n?RbQRUmjTUJ9{%Cl1f=y6aKo+NR@wjS5BZOl%n@2sUkL&GRS7an=wO
z{pnp5w79?ADDJHKc8I_?xCv!@4Z-sr0SWj*WH;ZL`F&~4{=)7agx;aTJo+&Xa?Piy
z-&H}X)%GX`RIGGHf=A0S6K-DR=|j3KrNt9zvuYAT)?DQT;POP>JVrCj;a6J`Q>-Xc
zFLvs+p~7udtM~7-GNyi4sWou<D*_DYq?6C%ZI_3ndtbfK`rlWauOBm`-oKxJ^c`ZL
zo$Gtg?<sjU2Xhr&RFvM=un!)`#IMRG$Xnvs+>Tg@#W}LHFA7Jg^ra=q#h7DpBl&3@
z?4i||A<n4e3a+}9$6<;u_<&0r>pW6M8$~_HP!iI_FmO;dPt<few49ZAz(kl^4Cn3E
zeE^nK;=prsl5Jxp7JLBWh6PK>njLaA3uJe%LLPYlmDg5g?Kh=w;UNG!gLazp%}Yaf
zTz@jg86YG@hXwTHo16!_1+Mq{zjlxq{h{O&+_PHRYP=EicDX?Wz#S8dV2f~<s;q~F
z47PKf%2q}s+m6>&l7$&F>Jl5>^jQbWGFP>cc4es&;903L#~P7(w1U}TxA49T^4!PE
z&>7&q?_R#K9-$i*!u55J{Y|G`Xwiw+0->&3DvJIPa*J&pvNO&eIPxdjCw11J!HH2E
zm%AwcbApCvq@^u?BPCoGsy_vB7mt)7=fV-r%=nY%S|QeS4Ob-?05(FWyvC(CQ_dg$
zkiOV5cjw~$60dvB3R8F(dFtf0F^YiM6l=;Fi@S7GfvvHD@3^&yA@E|m{V22Mh^S?W
zpZI1?(@1ORR5vf?vDe1^YBN1=i8AOJ3<Nh59MvheRruaVCWE6vGf&&|VZp9zisOuW
zCyTS=E{deM`KrlV0q{UaNr+@wIbdVV^ZjP%vh8%?N_hiIY`1XLnsF|nDV#?>K0T%+
z#xzQp5rY(}d%9fc;3r2jYKj*zQV+2tX*<zlxQMkmQ$XDNE)0x_kvc3W!{pAjC^roM
zIHj2Kl!TEpb_iggxm;YQwsWAdF$wT4A2RMTl06Sp45UpkC77=lEVED{0-8MBwD7Q;
zB)l94V`$v*#xAoZp`gK_0BuiCKYV&qN*Fr<w#9qwxu3tMF+UJUuhXfL<kVIkfovpx
zz5+%Sv?2_b0T!-E2pv|}1&>&J6aS)Lq1dVevw)kkK-iiwMeevJ=2!EBN_85^Gz9`p
z>?xynDMFs^<PRzav2`NCG8v)aYnU<%=B!kom{7km=&4?s(GnceGU1g<I~)OtJH$T?
z=-NHu?p`@<sR4fTc$@5x?CNJU`mn@jX`Aws{`DuBIan9cO4RnybFm>O+z>GF2Zg?O
z4pwNOlp5K4EtP0`nd33Kl^;Wlnw5d66sg4f2QM8lEw&AHpQkJ#!VJ_~eS?qjsZ+gd
z+n_V?9&SZP4aCTdAJv~ChGFk$cd4XjZ)3nuFm;!)knAbbq5G#_)ms`*UeZ@U6)%1G
z^Ke$4d6~(u{1(0Qq>Kn^8B>A+#Gg0qc&wXIEp^HpQqMiSvn($5jX3FnXE|AgbiJIW
zB)TKEuILTA%y{Vv3x(2HLhJ41X-;$rLwL2PRfqL?ZYh57u+9}V_x&p7R&qNb_O>VT
zB;R}Dj)d{UsoubUV&L_!|K^0r7%52+3wzVb0+)>h+{%%st;3(W&0U5UH>dgH_kGTP
zls&b7_WF2e9+bJbfaxQ~qY^M)QoI&d?inBPU>&|n>1crP^lOh>BB0pv&z9mDdkSe!
zxNF4n^PU~+qn|cxH+QoCT|Z2@OcvV=znB_Vhq@E7=*eL3q=o-O)Bk4F1TRX3Vv1m#
z^nFM#ThM6#OC#qPG2jD_fb<J4|Ho7l(!dPoq8pIQ&I_9i&m7;EBv3+prgs>OuZVE@
ziERUaIaof@bs#pzT`A#Xs!XIztaopSg@XPe6zqal%atUtZJV4Ma~q$aHzpth(8%QZ
zQ^rwTLKAyrL}lb2N|?6l9h2agty$k%xU6yuJ`Pw57TEYKdu62pk>=Y^S$!P=D?1zw
z*Nw$kV1o3gg?;I{Cf-Q)Q+V@@O)s0u&lZ)(xGCQEnpKAW%J`KH_UMF_VfLZNA=oAf
z0^EX$vf(>R;A8Nyp}YoIA8}X2^eea_U}rZsmN??bby#h4NE;9I6jayE%B6z@xT#~j
zsniw&#sqsNTomM0{!A{!2-toQXP606>+E%*T<TiHK|WcDWVGvR{xoq_WCuxewtKnV
z<qI>!O=&t2P*2js2gWgXMH};+CVTPTp&xJ)*l_#F=|>(2T%(z7<2;z57Q_3NQqu<#
z3GAj~+lqfsguGiG6_@PRjkzbVoRon3v*^QU`|XRkBs;Njkib(LbBr@4dr@!}1-+8x
zt5wF{dZ+u-kuhH&-Do<ibLi=3FnZjW;{dkyz4!eSqU{k)V`H<5ry_#(xXAkx3{JF;
z5|WX)vWs;$Rq`u=eCEtEFm|yJ<Z5Ky=c@ZS$I|{tr*Z^$7XtsRmp*@Q5WhELwo^R?
zuV>R)#C?W?>cw2muZ)b1<9>i|X@7DS>$QOcN#|<6?zz2aHCL*Jw?H73O?RmVLN1zh
zAA_|2-XEw$+7Eb^EbS}^KnsoN+;tRd`^0fHE``x4h%0K`CZ@`9<-;6tr~HEtK$kJS
zh@K6`(lIT4eMekTucpjVOlk&H9P{#J13m&c6guYS;iW}29KCnJ2Ti39>m3&*B(wEB
zXkf7XE(OF-O`GoIC6TiEewJqSuJXO*f?>X9sw1@FH7)d~fFC|OP89ZV0PY(vxw&@_
zZR|_UqP0NHW7c(U5D_iy&@D=~>~XsiRK}cqcUIuELh^lmJ5Y)&5zNZ|<tc;_KpE0f
zeR-JbhIdkyZx0Q`T|n;j`=ef3ZvuYVB|gMFL&{xBZt{a@0St*ox-N~}R0|)rOG>^!
zCJp=ZSB+!td#fuUSi<iP>i8cGP}cs$lAQH0fxZIy!kuqVd@#z&qyx!lFpIB!Kpy*<
zyaG%h5z1dM5PzIDLe;3MHG7lkL-voc^U-A}P%F1yU;aRswRYGISy11GQ3DFose}I9
z{#XwZlJkIBKg0vq33~ZxzVUkT`uI3FJ?a28*npTU*!B43&7&a4lZo?WYYK%zAqu1Q
zX}pn<0>AKM`D)Q1hy3Yg)Y}Xwagcz9gu<jsf5<nbA0}1v`#8d*)qvm9fh7ojLW=ew
zMcVgI{BG$}KYzWr1rhsEy7#b&{h`Z&>r>}rAC-7IMRg1Z(+?Q`5k~Sd;0Ncn;!f4q
z-|Q&9ZF+nzJtJf)#9m?f%*iE9^T@n8`fuGKIF$JEF+~jf$hsXtV_dHIyKd@3=<{_0
zeaJSn@tgILKMKZv%jN8A_JWX8RZ$;9cRu04B9rP6G1S@5O<%H+Ax%~La&a*tN}}*X
z_-8Y>P6*0*WKBm@HDz>PvzKu*y>m0s$e|v;1@~ox=FaxDgrdA&;dLrKEhI+2YetwL
zhI9v36l-W$mOn{T0qSVXPv)d^$mH3nIds3)T*#>ET@H)|v#sl2OT^JtlX#~`KKWi@
ze8I^G_p+b+Pt&;Q^lOY%0%SJoR_on=m4;l+?gqf)KYM5QzV)<&1jq6-ah|h^&D%o|
z<OfEDEjyd)zUWU($Zb}z-b8JAWVBlzd|D#}T>)o~mA&FyJkzz`eerdP0Y^7H!$fnj
zQ^9#QfJQW@)^`1_h>!MY+Hra@ySRvIl{|<XAgg72P06AkyYkh9?lKuFz=yg2^<psA
zw@Ib{n-&%3)--N{^&xmD`j;g-d@Q={Ieyl@6TVl>Qw#FZS|vL@X#15@ed>^8VigZ-
zRTJY+T<3zgSs?NgX%Y;s$tgNj#@phQkoWo%mTem>LRED^{uRqet#f$%O8Jl1UVd_P
zr~)$4wf+x9pP$+HC^@_}k<2;z_sPqTXgs63Blu>auPkjsRUT$T;&S6ziO6d`A+V>|
zKehYRv4|X!+j|eGUND|;GZ0IRhMfl+-RDiG>rs~uVc&X(tH&t>?X2$iepb|I$~wGd
zue&}?J4SJkm4bi7D;*6x0vDdmn!+?4zUxJql=T?keTNQV{rJTQ2Op<zdW_aTS6||O
zxc(k@0TM@jQ5~kj1nnk|B@L0Q9f>p7QPv(e$|`P-!xf0DwQudB0<K~7u`F(wDw(i;
zOr4f1i)6M8&ZAnoXHw|oA@m_WUOiuB;TqESHA70A+JSf|a10SD!(XD?YmHZw;nlW{
zTK_VEpbqTfzkcDRf0Ju5IHvq|<YnO(K&Vk-hKYviJ7g0TC<B{hZ~U81zvk^mT<sHQ
ztTpiDbAlz^<PfIF#ge@rK9u6;)*sw`xHyYw!1j`=Wq1lK_xN5ZsF$QZZ;`n;6#Y1d
zB9ahPKgC($(yO*i9Nd&T3fvi&hOabm1zy0awbg;i6BQVxkP?qLZ8qqZw5v9m)LBvs
zqJea^vim0>1};I5j&SS2fUP1!uovO(8f2*@YMUTPM7$tOG=KCQ3b??v>a>*@>>IFG
zK0r$5;Zl|5+|txD-{1%MBapk&CYPUsKq-)5h}A+pon%i*#x?VzFBNw4A4DjtPVVh!
z5^xeAj0J7m-mry+6?D7<dE2LHyDWLG%kKCs%4QC>s*(lTBpKikw^><bZCwDX_SGFc
z+!P2LB=n#6F%twm1cC5R!;ULQhqCTW_56nK5VW8Rq)l7azI6UDSaXG6H=!zWa=o<Y
zGrY3%y8CgTaNU{l6xG`fRxxq8JVQBoyKW7ws#&{xQsX*`b$I1kF>B6FcUs$nFyVQ8
zw&BLQ)bUv@CpX!6=0xEp#mdR@qhu+sdWP(g@nrs4@#vw=pLZ6R@4!KAm&^|Dd7t&H
z(s$_imo7&69Z<Lg)V!cKoePvJRo0}Dm_?sWADIbr;7uR;7?yNmxVvY`U3f-fo5gkN
zcc8#*Vm3Xnz-Ra^jNV6c;Rzi>OL@f88)W1x9E?BY)c=5Xve&VE`gsW*ZoXC_Rx1@#
zYmd-fjH~@CzpUFpjV`c11N_MB_|cl4a{Z&N%9yagPEwHI4awBt)_T}%13(fYBgmo%
zdVbFaeYMAk<rIjd68&Ti@V)ooqgcM}wkese(qp#g>mDL=gMhqfANn15&?AW>{jNzG
z1obL>X_O+YY8@aD*iv>g@bgkVS*vJ_)fIaSQsgs+b(JgnEll$6VP)-#-iZQ!+r7$C
z*j>vN%at;E#d!rFp64!Xu3jb${94ND&W%`m=#Xfi&d5=t-S2%jAc=L9C@(%iHcll7
zj45t~Q@eboZCnhw5*=p-0=A#I15<Dr?ehj#>xKAgn&<FU`rHK`&ALv$dJxF@K+zf(
zk6JeU4iRxjJ?Oz0A1d@suEKviE09p)iYF1HO*(=rjS0?tj!=ImgM{d!SKAvoJSb8Z
zSiJ8})ZHxJjYt&yfcKXmwfrL0BTym*rXC^$^of#cQsfBeRe;_;<alJ^FBj9RDn!&p
z>BKqEwygkuHaV{qkE%PC;&eu$j}03xspmQPr(>$T-K*enF!ll98}4js2{-c_n->5^
zstjUH<o65`1N<&9BHlhi$L8v(_~bczuc<58{hku}?HsE8{>JF;kZ^oRYFMGnO%^jB
zhY-w4N13%xkT_OtLfI*+oLYjS=Lq1f`aDQBv|q-=I)&KM2lp!E?Myy%H}Yoz?lJ)0
z*guWO^_W4mR;O?L04n?pZ&5l+p*^|&q%b*-gL`_vjL1QF2S43YqjG#l>j&O_<LQS?
zBPngq;=alv9`;a8#(wTW(UXIT5erzC5HqI7SY!~u!wgt%4Z8te3bF8$?Pv=EZv&MF
zP!IU;B=VFJ%cUBrt_D+0&ToO&I{$W34#GQ0$53@nCiTbz=2zdesz|)!!FUw|q=(sr
zgM$LRe)ej71;WuZC2@aIY@E-fA1@dm;FJ2}J52;f3G*{YG&R&^_}ZdpoFng%C*BzX
zL^sy@Qvi$H!}V~cVX1qxGNSPkxPPW18~f7t7ueNc4JllD*$xRG`um!Y-eDbc^5|%O
zRSw9zU@ZdD{n6tPB@Po+n=WZUB`J;mcJpMC#qqloNN-HVtH40Dv9(mHAN`ax>YsKx
z^9GO3Q$n@QFG*%{MRK_TxLct~cFw!qNA*!w06%<G#m?}C5LtIAfBX+f!Bq%qTOoo>
zNV8$QRgq|s{SkP#_dL|(GK6-!ts+&0TW+nxketKs&~F(KZ~Vwi+!W6WH8vXAG!YR_
z5|$`9tRh_$Zs|2YiSHmA9IhhJF=pOUf?gPkM^h2a;`HP*xkwdCAAX%eBc5ii5o@8;
z((AGpscCL(5okL~x(NTPAu1sS-#t+KelM9nVr>$Ivg&o#8t&rT-fC+OJ=m=O<QZc^
zEv?+HNNgS8nI;VPQbr)!f__#B1@4$$ifO3W2uOVf6!;N0o+P2Q254uJg03sqm(??$
z@IU_x;IiT9(o4%Jf66!83-(n%^oQ?-Dck0v^h$_5bzhz!aV={4oV&RR%uQp*<-xPW
z729+2kDK8&&CnU@bXo?JBXdggX52gDGy^fipKK54i<i&*p<xO@heZ7?-eYAk*e8Y)
z!ncocGd3vi1?IghJ=hv<WE2KQX!*l%E+?r7p{{VpFwbrq6Qg-fg%b-JO?`u@Z+k|;
zh$+BqMGNIJuZ_Q4EZ|AwU*rqVeb4X9y`c}~=Zdcho)--A*f(HspzjC%ge$S+*O)#=
z9Ua7J>ktSS`&44de2NuG^9a<kUr-_5sSzQVI#Llzv3-R1Qy@1AwIFJ{j7F5dD1M(#
z?5fu0ykci>+GQ(2#qNW5;=LXEDU0W!sxn}S!J&<i?Ke7HwtAmk3#%zYh)h7*R;{cG
zK+U(u$wPPd)Se@iXrB6_XQk+B*B-@|DpAT@R9X%K%0dbvHn~zR5T8Y4PR^YOGgC~_
zqCVzglvZOS<2P~rA{`iK9v-_1Xkh51q)sMY-wSK*i51mF*=6k|=CyJg!R0;6&u#3z
zOd#ZROqh7lD#E?SpYnlF0fekb7=Iur#HUgb-xzpda}S>kCO;fv0k}g52=v_zfvwUW
zvlVB^`4-h{w43IrKE%r&Ov<KIKyzjVqJSUM71ru5OSr&0BS&~ovWoULFZXgUe0N&n
z{3}&6V#AWOq0v>aKXGX{8{-dLJfR?1Xw$0%3x<(rkS2I{9h!x-g>HeP=kbHP<d=3D
zdw8PtqG%8&#}0m?U3kjM47@k+r+B~i1*H+B=ta>MA}-t0Q|!0J(ItpJnj6#8$Od<7
z0C$@l9Vb9?!Yn;jCedkpRMlF{E33I*HW-&WrB60a46P=AZ=c9_*H)XxQXp48^$?tt
zoe0op?A)tkES>ncM$z<T*Tf?d=nf03(a<$9Xk6MnSU+eL5$rbDe8sG=<AJuAZw%}M
z6W7Z79Sv>{{pNZ{tLpX2S=RDMk=aS(wLSUd+E@ABGnblpW$^XvIH#3}Zo@9{eW1xQ
z*x-Kw@<0v0x*T$Dvc7#;E1`tl;@o#Q8@!_uEP5U77(-e>iLZ>TF~kQbxMD+GNQaM&
zb$<1qd@g(!ZCoguEJ=7@Pju&plriQb@gJ3%!=;8zpztMI5d*O4*9uVtp)9x-PK-#*
z^}L|_N7{~UX>&9jyjfUJ{cUH8=Z{i-BtB61TEP&*DO_5_`N1h&q<=3uLA}oQflSQ#
z?1S7B-VmQQr=)S*EUUhJA8<9SElT(r8J|Ca0=gLdIt9zMU8&J2yw<$kZ|HM+d~})`
z;~t$J4oA$1x?a287UpNMiQaM2A%Nq4Z+4mb_Wd`yX??p@)84v(07FjNL=8s>>=syw
zN>o^4yMDrA(G2%u$if=TN#$T<r&YI8w$lqh%hWkt-?1#csEf>*lg;;LF4aY+DZFrv
zFiwb1$%9+OL7igC!sG0H?%%W^Q~4d(@_O|WL<YxbHa=zqw3(NE4w=uY{a@%$TC}#p
zvq7&ZX?OY}^;p=M4yW&UMnich0NX;L7Ib_tT#+=Y&3(t*g6(L6$1i%7$YpJ%Ts;GW
z!4NyV=CQnV0Um>PdOmif_mbxifdJlia>bgVoF>q@!v5hHCFmKrvd=GAlEf+=iV&v<
zN9>hJCza^mWxapU15^wcD*Eh6#q#ut`A8c-Ln7d{=YV)=ukYo)VOueHS#|LHkx>UQ
zV0>xqaQkEvt0TS-Hx8JC(97?S%Cqm^;wsFuK3AKOu^+~v*3BfZ(3)Fiw~hC9G3G?m
zGe(LEY9kZJWCE9BnS9bAIlbdcde4uIPE}l<8C$4rW&$5lyQtA9$56H?{muI5F?$r)
z*mdfG8hj8JzV|l`n0MH9RCPHDmDl&5rI=HG-v=viuYQ(LQ`LFL>KOZL46-opKvc=W
z{4~rjLjytc5tg<)W1&txVE8j>Sll)G-40=8B+k{OQh!z7pH(~tl(<_a?+VnAY4YDJ
z%x@;2WC&b}CU4VIrA_28Yom%!zETWT8x=o6-;3C=wg|C{#eCBR;FEayT!@0w@`Mj{
z&p~)rcc-sXuLgIpojl&R`Q>_i#lDZxhy2h^%vG#lq{KU&xl+q<xf}KmOEJ)0wfd2;
z)>1>zjmju~B3=TB?+#v3b^u#V|Ako8J;%<**LS&<JgHnGtRD*z;!8u7%_qtKF6{m(
z#;ZszK%6f^qPWT9N|hf>MA98A8?=wU^W>Ayf`{IO=`AfB%NVhrksr7&w=oh12=1$D
z%8iHSmD_bmkFQ|>E<P%JlF1sc?T<{vxL<~9=cZtpnPwJ0Lq}8Mu~G34Aj%3_D~Phk
z%>x%W#*kvUXQ<_|I=jmoiV1PK7vsek%(cd;`bP}x_mp+e+s1ti@jP4_k2&JR#U7Uq
zw;oUDvCeDzPuKU2$20a-Z`kxy&yn8e2Tu#5)sn#%zr_>;5)(eLzcT4sM=X~`e$ylN
zJjh~<qzgyr><Add65$wGfZs8g&)-|m^L1EiX#k~>fk_khXRSq!gSE=%81Yu<nEzc}
z#&EtzoRY>QMShNYnQw$-8xZt|<0A-tZ6_QxBxZSDx&K#{9r=4EBJ3iA;I0P!zWG7)
zku1zL?olb<+vv#Z+|)6Jt}KzGR#7`2z+*4?BbT^594g0C52pfiPW?i_7e4dqC;cD2
zd!pdQkclK@9AmiHpO~Y>IVMGzZEkxM8)7*GhN3(%CJo9$KGJuehj7?u)EoNe*2gs*
z_PLXb<i%49RWPDZ^uzkwl>t1AL_<7>+3T+BH$!h^X~IXk%*>gcD^aXaiUSDe0+LB|
z!}?Lrom8M<aAYb!ZM@qfQ^<n#pU3CJ(nUdwi*Qpgq@v0(jp^J;lg8y^UA9AN@gwtN
z)=O8SwT;;^$$TcCT&N0?>+#y!PTB^cy*=g!Ql9}fO1v?>JL_k;PtGZ|=bgqqAu<xE
zs`b8HsU!G98{@G)UN)*ZLVV#trO<Uw*VlEP3L_cgA%s7Qq*lz5H*@>5$V&S;LTAr*
zK4S_V+frv^u=oPP#Asws+yg^JcMLdw8rtZ3L4SCw_~%X(VkSY6<F%_NirSUmOZDeh
zUSiGuZ=w8tqe~lb{!oB_fCNQZUVaK<6uP*8JlB$BA8rDrbHa%2*!I^XV~gRvV`wRf
zMx#CHOA+S&fzBtqYv@`e#5v7*oQ5Ksm}$GR0g?uQ4$<T6qLqHD&}>W2m6kfZ1BH-e
zIKQ0zf_;S{&rDcB3JA7_#iMj-uNq9no|(XRr!Q3F*3!NI!Ca<=+Mk#moD_jRw&B1p
zIzOL0?_YhVs3OZu<8yYuf{?KR+6P}erAR|)$tT}fG+fVpVobX7$wx;eX=oU`>6X-K
zNYrtWhL~v~w-39A()%)d#|yd!?la(R_aPApr(CQ8|MSEfcBC)Snr0*PjG?*AVohSG
z8|k+#6ZD(+zz7ufn=AVKh<hzBwKG=$c`e6-$>R#;sj<jTR0nA9ItXC!pl$)LDSM4=
zv^+GhG!HwiJ|-buF!>C>@w|^7u`Qn4vlt3$i%#hOh^XLuFd9bEE*SqZk&l66HOH;q
zu@}mEL~s1Q<w1;*VHh9Jb~csE%q-sX9_APi7ACr4c77@jBv)evJ@=l7{hSIKjbOD&
z?9((v{-f)gQtEg#hYmH+G31~XX^!l$r|P`v<Qyc3!t<j7%H`me?0sLRY`PC~0Ndae
zEUd}T=k9t9V?z*<D?TN+4qB|dmiK7m!)^C0zT8LRxItVl?%~<^X_Y$qpA7G(G3v@b
z->ac89b-sDtaV+-uyFJn;o%B>90`)>9LOokf}t&0rfr|7GG!_<efMbkPt3``8e{zs
zM6MMGy^xf%I6Yw9f$z0OE)7GTbK}6d&MW*EN!Z$9Nv=tlQZ{KU=I|qHGBb>`|C1&R
z->%Qzd4k&ppZ><=UzB$}1761Z>Gfn{BP!4C#4%<T5<HQXCjLix{q${5X*6JJ-af1>
zu}_mJv0swca@jGCt=$l5=uW?Eybp489x^>|(CdzOWV&}RcPxMN{!(`0iXQIWn|4^7
z#G8_}SmuQnUXaf|`%K1<A1_Zm^;9jkq<&u-HgpYL<3Lnf#0;quk)Wdx)*#aEjQPkS
zc`jZ$X8X*-u_myxX31m7w#Fq3nm6n%30yl8^NrZq=R)w}i`*!<y)Ns*>~<86IKVtK
zEl91KjMZnjUp^Ejp7ZUxtB_swVK5C#Fn7Io&VgcRnjH$WDB=GwC+16J73~FYLxN-?
zi!bY*xBFEHR_`hUw9jYVFV5`>Pwi%Vm%P1n6z0?J(cha>|HS0{ChCP{dzcg|Hmp0^
zwo;RnSmBe_kjAwwIcJf}&hUI%@@$3OS^2TvfbhV3RI<PMBLvb|k6-b?c4Ik&+rWH)
zYs5&5WKg`5KE_FqLK~lJo!1tE2iNq=T7(7d?n7+QLc}g2GbOW5?g3-&_zq%XFyd{w
z&RQP9HymEk=V0>0HMmado>whdu0aUW^Pz4efRVi~;QX0Z{q|?$^AOWJ8k27xM2u#-
z?17^<4hC?xKMEl|Lt5V=?=L?U0<s?lq&XT+GjUd9`)v7c{dGEk**g~O`L|{^{bJ2k
z@*?J=Q1D^~Uw87vciEpfAH)|U_!*sE#K4}9{`Zhta!+pmu+FpQT*~QCj@^k~hyl&7
zmRUO|!?U#u%EHYM$S;7RG9O`U6SV))gS0ba9t6dIz~eOnhLFcF=Wn(SfTy&70&N{5
zTT=c+>itPNcylQhTJ?V@86)v6TS#Fco*RgKAjm&l!_b*v#}^?4cSGqUJvt){_gkXl
z3Lm}w_*W%;fsBK%AaTz1I%kk6{nu8K0ahz=`=BR<A*jRS??M*rGiAz_d)4qn1HlQc
zZpQq@tw{24FL(j1B4xzoQbr)_Hm3qGoqprcjxxT(^J>WYZR-R2p3*45=gjp|hhUvR
zDtEua;KXM%3fJojymlhIb=vmFv8PZIm|cPdLEmq=RWIa+2}1z^0TLDiw*g4!<muM2
z|6s;r@<K+8kQVNJTQ*=>3GzuspD@W0myY;w<r&H+TZRvi-I<FJ0g|TWDG<%r{v`T7
z_(=iy5&ACcq7mXjWXO#SikC1f6GKBGGo-R!<^&*L<uV8E^ajG-w8J<K{J!lWnZ4^d
zWT+m1I@Tk>*nX}1>vdN`boW(7)UJd4^OgC1z{gi=8Ahpau2>P~#Ij#4Py87Db(*f%
z$hpK+Ok;vOfCHA`J~3zCaZhYJLpP_QzjH1blaH|iw!b#1n0mBrqv8#@QrpKdnGx9S
zeGz;RJTC;=V8cO}nDwURs*A&M8o1g&53L0JbLSJ*a$89s;rkWv&1K+?cjNdZoYxQh
z_Aa>h@Q#udwYUKmr3<aZNL$f|k#tQvJD22&KG|B5YsaImtwB5E!GG_-b+8}fBeRg&
zq5gTek5j<6e%*YJ_6H^hq@wjUlId*6oJQW-?48d;(c=4I-RK@9fcbvI_4-G{(>N>_
z_uevG+Y6#`tb3F3T9Sq?GVA|txKpnk2P5L>Hh8b$@%nKCJ>~`FYUJ{5Tq15Mj2#?L
z*>6ups5prkT@w&dMX&xKV6-9SCpo44v*@SmP}iM0o)1El6cdUi!Ye-o{DwUG+jZAr
zY?v(zQ(4b$Y1XW4e4yv|azxp1zAO#vJeTy^g8s4>&q%S^^@0NxJ%oDimY*>V=z4e{
z+aX5=lRSDu<X7$C?IXn_+Trw$FC&o;o;w~cv&=I4EDiX~fbKpmh)YYI*5NrQR6pu!
z2wday3`|2};-Gn$pGzZDAR@U=M88~`_yOvEQTfAn>#lc<m2KoK80|`ssN@gK{XT#x
z2F!|n=a7|{a?n#2m9Dn>7+T|$4cO3QOsn^Q1y3csjgbAwyO;r*{eVOs#7MksEHn7X
z^e|nji@cI^k=bVQmj|Z$LGf%Z4TEAOHD`;{Xs{5|5mxT|4D;msX#`##LZUfchx7<S
zY$?A{4sgBqT!iM5ALoLvky!tOQv-D>Mib;)NyK=>>r=*LvLkN0(#DiOv>)-gvmebx
z@=Puv#C}G4Vpfc<Lr%WTsF?`N#ixuo5s9A|RcI6W>|@g-u*^&wU=oaXXAj!RWsB?*
zwfEhu^Wj~)UMQ$LckYyxD_08FNHui$2y8z%P2zfk^{&F2X5@c-BaSigUCBXMnN3XG
z!H_kJO3MjHjIZCqLEVLTJ_VA*tmQ6ytxYlpG9mY*2vh_!9pP~9C%FqZR{dEByO>+9
zC@oX`b0=5jl*cFl+r+wZaSz+lX4tzl6q!F5TIWv8>dJw&t`NhXA|fn7JuMM3564&b
z87M^pVOW|&sAzsY)>nWu4S`Y>PYOwUpg>}toKhG%90UVhHlg+X);<cHtfS47&=dBf
zY%JVGd#&YVdi`V_BNLB!1#ymN!8HwmXSg*;2oh*XFW@<w=sE~OxODv*F@Uc_NW*y`
z3SEs_A&d}@u~!RASzfj8cX*Z1PSB4VZ_{snP*5r?&b4JOYd=OH4nqD8YYqnnTFt#7
zdK&48WQ8rld#eIQi}=JbNjhjTw2=zzpcdE3#My0~RR;SvR4)YQ2=33`g>d5KnjJME
zbGgpZ8{GP4x&M!bP~>iuv%0*lh8c#9w~L;I!K#Uz*6Dey(|Uy}XeV`;DC?4c&@d(T
zKU!Xc{J3<7zZ65F4u$fbuo2;vUHj_w=k0nQ0-Ys5{TK5b?QkR)l%4J5J`RQ?3IVR3
z5^Hbep9~A;`834PW65(l2d6ItJ}Q*`TU?3zyFr&Cv1<u{QDMUHolwlSVGiak(i7J4
z%X)tc1!b3dD0uE0iv~j|358HQK~Kvs%G8i9-UmasC^$20YfRe*^nKi#HVq!h`C4{#
zn_J{X`8NjjASo&;0zOt|(_JgA`FVCbj^#Hoa#a*Lb%BaGiTuo!e=tegrqti`nEk=?
z^NP~(2L;EC=n+ZH-7KkY`x*U_g8iPzU8rLHRw9sT<%-j|=uRxVFWXX1?PEI*&eDEh
z|IR8*gpvy;<DkUs6?&YW5qF|c?k<?SmpSIY4_Q~t!|ewLx?H{abzlS7!8J<vz6N)~
zHzLijkBRbjPl6$?3kn0Fus+zAX>C)1<R6SR5;+ovy*t4_Q62^b8L$Q}Xz;M$jxg@M
z1;(|{D%130Xl8gR;~xTForo6`otKI#uVEA0IA{wV+%9CfL7gP<B`T?;&Vgs)ePr~=
z4E3INZG1ZBbFP-nDSxTK0YzcwpmK^9^P##BLqW+O`Hs3Baw%1Qll5_3NKzP<^I|4w
z@?t8F=X8Brmr-gLH4?wCfx!#|k%Op6Pdt%p<u*Wc6ZioPc$Z+BMK0!CQ((XCge6ek
z?!|jP9T`s_(?1$BI>wCC=ov;fv3}->7z%^dvV;%S2)+UL$#<Yj%;~t&n~DX;kezsi
z+Bfb8{t$>|KR!|0z<}oeQUm!eEd4|UiB$2vIWH8$n<FyAR&=b=Rey#dStE%Vu$wy)
zn=u^tQe@#~=xI2VtA5QdlNaWeN&fjo0#D%vUH|gG8*heJdniJ$=c<CmoFCWrn~J1S
zuR?);8so{m`p0GQ=oxO02%4v7wL>(-W>v8AIF+i)Ti~lBFb!*!;=-}z>*BjL`CxEE
zYc14p$1q>@-5mL&DvuTBIV;|U<*aNX&irE^<@cV<#r7fRH^&7U?$mha+-q%+uWdUB
z8N-bjnX)@$L505W&X0K-9Sk(uWu-yBaUt?*ccKDGCyd>HcyIfVA>Ag*wPiB0WuW9S
z8dcnhNtP<(;qGPY!*9o{Rr^i7_S$QuTeohigg*G-gU$xsbkj{TbLLF_y>Q_|x#gBy
z<gUB!(%%n1{IKvi>E3(ql{3ybL$~=sPiybqy|umx6D*;{c@P^<Jn@8HuXE?la>W%_
zxE_*+9(qV_zWHX!&d%2K$US@ZlviJURm;5m^2=K1z<~qh;6VuE^@!NfnIP$~)8W^n
zdo@k{`v_o3ImyVd1Q>dgl*mOB;q_d80w%=K!i*ig{(=Pho+T7f!azTh#J8>Tt43iY
z`#-B3_bhBJG6#ZIE`)7*R_8SnS$7_fz|#O>ZS83gv{2{LUY7SDv?mUrP7;;(Mfg1r
z=R0=kwJ5Y@;TXNSE(BRa6C<>RkW+v)?KoiB>q>6L@){%x9TP@u(}DTSPOmu6J_*+O
zn+GnEC&yZzyd7z?D-2A|!fqQhx_r3ubXD@+Tzn!tQ{y2RouJC;<T>r&VK`MYQAdZg
zfv3K$o=w4u;Y0_K9r~@sBj8;ep#mGd7nA<#2a7L~8^Jn$LaR$5ER^b8>4&C;Vwn#L
zK}9NHFxr6h=Hg*$Ic9<#QX1yukQj#NbBGJtW0g<}lz67yo1U#9T*Sssa<duU*UE_A
zTh2Fo>O>0DA}jWNT3Jz#`@dXsx#IHQbvHuz83rLQ2Lk4~x(?iH3kM^$f3TiMPbe+b
z#PaT;8#Gh)b9386A@x_~l<OuwGCdx+#A>#~tNWoZIp{I0XZ$cM$xNEoxA`UTwsz7Z
z?=2e#?_rQr_{c7>ga>+oNv>gt<dd}-!ln%}AN39acg0QSK+zz-I`AcwPVlD`Sj=`m
zh5G^nqh`4Ne0&$;MH&k}c#h+KacmKcZi}FZW-h@#yqxo5@E2_z4}nsWHU+L0XbB7B
zMK<4Tm7&)y2*1G(WcdIX4g=vOEfeBpIOG-b%_TUW8+iY-aF|g|q|QyO_aGC70xDLq
zNHoJ-4m3vbH+dozm^+882G3wc7EfV_<kMrZ92b(-Oo!KAE7qe`e^4-=v+GSQ#A!Hh
zEgl7<mA@*FG|IiYpda4jFy#T~VSQaY;%LI~MXH27J11Uq3Y^~QCG`y6{YMP=K}+zY
z&#~OhwN8UFBL<%Nt1Uv%ztU)?Mwr`8`VS&%?*G#V#_kpRn;tHDCc8Miy7WGA4B^<<
z44M2%$uQt>h$AnhF~*L((t~avSNHu5>t1fvQ2RN%Ucpnu1-u}ZT8V7rr1b}Wh6j5L
zwn{M<_%lh%-61c|>miTKXrxA}vl049rG#|Tpl@~B0>_vl#FL)e?R{N^;PxqDh)C-I
z9{ZvywKPzX9-rArCeP_83--JX4|H1{-xz+(dF~H^ufD(h6n*x*e=4|f5kqxKHGjK$
z-nBCGVGyVSftY|ERUEDSkb^Z<Uf^gSIfR}b9UTop7?QAq)~#D7@4WMlq^73ITW`H(
z@0P7wx9VTlu3dE>l}0L&-+%wTBqb$D)22;zf6JCFB_Scfc^>Qg_~VZyG10Qn(i6*l
zHf`FpNxu2!8_CVh)m^W>_L|oF-h1yM9L{=~@3`X*`S8OJ)st(V$9CuC<w;ObkiDx;
zf44{2Ph6iVvU54|+zhqGsyf|Z)3{ngfF8))G{`p?E!($%!5yzoKgdiLskt1kY*+*7
z$;Mnx6@1DKz!=4p_>EECCR+Wt3zkh`_##K+99a96aG>dxxZrD+_QZWG!%5RyAlxxI
z(?~RG{Y92?%j2yd;3pcp*=hsoOGjJ7L#<_Ik}=N5gtdWnJp~qVdf&6OIM)obmj~k9
z;Zg9sF}t5lJbo~LhlZ~*JUk2M*Mt~OPvSNC*E(Xb{?5Wc&)-Y1T+yYFdF;%jy<#D#
zf|y{d5OCQ`G2Jj=w(hq-I4_Yz3oz@Um`Ft~1l|>{YiG?Z%#$_yzmtzwovURI!qZ3!
zE{T)KwiLQbr5S7iT%WAzY2DT9z`9r`iT9pL?~Ml{Ml8of5M2I*9uqE+WRWGbR@^SD
zh}R*}%WQAcbGbU{D;0+5wWnu;_s@`cCbl3kkxxFlL6guX`nzrP2zldl*X!wS{ot}w
z6snngtX0Gy`EvE8n6q=XaDMtGgj2n@^b{33bGeob$S2<t{Cy4u=x=_+^@ZmIHV>{5
zX~-Z@83Hu&sD6O17z*3UL9mx*&_|ub{?5OoPpoj<(B}AI@dm4mW7{rg?S#iP$vTf7
z7ivkQd?=VCC{E&siwwXEY)7hae*pL}r#Ljb1__$bw^M&bCco2p1mz>GZ+c>BKqTRs
zoM+0{J{X7n^4T^jBgv|)FpQANlBkeTDcK1xRg3Vxy2hjZ<}oo^ct8tyD`z33{3$ht
z1vCKjRkBMtetP(_6?%F@$q$%ioU|D0nA`k;3Rs8eu?SiHQ;)TZ7^pmmo-V=`0dFJ!
z-a4b~di40)+4yrH!*SV-JsC@N{_K2&x}MVE87Pmt5N)y?%Q5xSdU?G9ggu8h=nO2e
z3v*B##ld#)Bcq3`u^|--BCnZ@uux8q;1&7X6E(qdB}{I{@q=SbS)@r>J3XD}y3fXi
z`?$^Qylf}`7-7MrW_!{X>nWUfNuuYD)Wl(!bHxQu8@O2gDZ3y|`Q#pqIfD_k66os>
z+~1cGm=4jm`DOAp45i7r8}(Y*g-OyVEKX7(Rx>w6Y)9CnH(^K~qL(rs1_6%<6hYkk
zI|Q~<yHrvFSGz+wrBb<P&mQU1r;oh*?z`HsxpU{r*=L`v+vCQKllk-K%U550rN0}H
zYl5hpPM$njKKbMmS-NzoDyP116RudXLN;#PsPl^U?b|0?wrtVz^tLu>(nJ_Kym#+j
z-A6@p#*7)dZP&{(Jpba0FV_7GGoCbQk}O`l7!2HEOW%F>ogS+XA7o6F^}&Y>83d|F
zz%lYtKyhqVJcl7#R5~jZaO|)p5a*c{3ObKy2wR7LTf*Edl(RjnEV1`>%lpdtbUlB^
z2<@<~QQ+EsA2cnzqflx{IcN^Ut{9ERXaR-;QXwMI5==U$+dHt#TT0oK%?>43k60f}
zbTxTSSNR;u4YL9AHcH@DV`3eL^FW0YuIFeE_%5ecfP<EKB?lfc!HxAN=TDOuu0!u)
z>&QV67Ov3nOzx+Llyj^3_rO$tD1}dOw;NI5p;t9SJpw;rox2{f|3qlq)!If|Frq-h
z2Sq_gBPjqOv$=8)YbbWi^SZFd$Ig4?g{T<X#JP=={_2GFD=*McA`6#7J<N3~Nfdu#
zIM=QUva?y+SW-zP6{8_s>oSKzGTKSu^y8K1Xhz%d9UoPkSnl^N50}Gb0_GIC6FtSG
zLUe?OrUlD4YyX9$PAALwPLuV1tq(_dH_F+4gy(RrXu~IogrRB?0Bb46D?qv5R;ntT
z<Lgim^Aal@Qsz=|uVaq~e#w`&^GCQC-WhsTXWM1)@?c7d{@!vk<~WSUeE!F*df2!X
zBM~Ny@-gRDxS9`6Ehx;={p6JN4DNyVwk;CI1o?$1kJt?3&Jrk&uCxIOVV?f0jeLYW
z680Rx0vaDdoCjx<o%t4*@klm5uz4xxQrbj5z|5>Ry|Z)-aQ4+XsN~_KncFAn+-ma4
z2N7+;DG&DglvW8mABSRg2z=pzsi9b(@=VO>>?IfV_#DT`K}kN6kqhI1Zu#mM!lA~V
z+fAg&^R}e^f$-#3i0H5sYL<7;Q2gYq7Etm|RBx!}l;Cp%1^eL{I4A^pHb}g_C$e#|
zj}aFZWqC&bFyh9RML$?>MG&6X?E@Gct@~Mb;J+@o1Zo6{y$qjSr_CpMV_&YlMxLMB
z5gyVaO}1l~p*Pvi1H${~t<Z>V$RKbu5wN7Tqj`mD>b74l7Go;n%PzZ2!)k4%bm-8b
zLXRkk9@4>s2UnPjdczGj$bI+SCsbgkOqrr({ScqX<VsII`K0*!TN>G%Idk+FLwY~@
z=p%XVx#u*LH#pd0q`P+Q(&P3AJ*k~Kb#f+V3JgRzAi{+Q3>ct)EVq35a=UoF_-@l5
zmQXgCoYs&*pc({pxeLfvDP;i;NY-%zM%nfv@sC*ZqIN%5v6doB5tK$}LLjm%yA=z$
z?crQ466SgcGa|N~gi#RhE`^Z3bFJ{T17B+q^&)U<-#h5g&qIsCyW3}>bqt@BMQHs_
z+YPTq;a2qoP#Ma`JSEP<VL0sd1OAZCG2?a4BTu9tWD^AgD!I16$=8L8pOdcc`;BI?
zy|&*E`kO+4J8|A4g(zmoZI1*?OuR)pqtnZp$m_ZRGxc|}V_xCL<lhi#^@)abo!9L>
z=e*_H2QSy`l1!U_211aldTklbI=an+5T2&0V%HQ29Vo~!SqLdPeFr|dKAXQZ?}jLB
zIAADLGBl6nxZWhQWrqbel`D}Dq&>VA%sTzjsYT-F5Js5ziMY6iw(W%%f^<diACV1s
zoQ#aWLqo|pPtu;Nss$V$#Q8)d`e@#;5ALlYo=Gz1kbSM5+p{`939oWv*@!un3^&^g
zug9{)A2fR_=aEuSq``pOoMXkMEH3N)J=zazL?zUv@mM*n<Fo1kV#qL;Z(&~ua@^Fx
z+}(Pn9YRP6uuVU7t7Vl`Xm%R}+z`NuX%Za{eq-r)Wk+EUk?>(~HN65$*~YT{_7;so
zm=~@Ik0MXRUUa@{3CxYkA9ErwJ8s-W>kMQYm55Q`%TK@(XL;2$aU749fPrU%e;u4I
z((N1TJnJkq#&B)R?Yk@ken>#HzPC(PMtTGp&j(=LUC!Yg+a7gOLvaw_Wp{o+<%kBi
z>jq4hu8q&avTfJl{D0|uR#(1Z*TL^DP0mn$!0_92cy8(8<h#wae*>_tBtwU7{=7M5
zCKAcKiey2LAoR8cmUx>XBawZWyqw9uF2J1jB3hU#p%8d|&+Yc6Mv0K;wSf{&)X4*>
z)Fz~?!#&ct>8E2z>P{H)iY>!JWN<4T6K3qd*aUhUD-HB%b}6!7UyLlPX}DjEcMf9K
zck(|QEsmv}7k*y%_c4$De4KX~jAhShq=zRy$w(DufMsGNCeLGJ$>_Ed@VghTcY$X4
zX7WZmEAYzwzi75t&f{+%-5YajKhpN}YI*_qY%BR^w|9YyWlXf&==#mIL9gxiGx%Zz
z=8Uh_L-ddn7h=Y6Z;ppF{5J1wc~D)?H`@k*BaHxFpV}oVk_@G#qDlpE)~s3b;)^c|
z_vhqTmbmI#c;ST?I*ZUNN-8KQ(9FM|A^Wdgj~(_K7Z)d|o_eah`R1ECzm;LeB+l(}
zrPx?Yu(K6hdSz|u(4m8F+UMH)>-smDi^G{z*PCkER|gQFARh)<C>yen60_{mJ2nu)
z43lx}eHA0sht{$GXYVQiqd30)3rUD4B*7&K?k>gMYEYqG>P}r~OI>J7z0}?HYyUtg
z6^d(dcMTdOZbV4F-*5KzvUl7i7f6WBgWT@U&d$uf-F@?H-h)P0z)UDO2umm}t8M>>
zzh4bOQ=PDVV~l8MYM;&TE-M!6RlfqWb~hqr>^9c4GI}rEk5oE_P7BcIi*Q~018sw`
zgY{A|X#6Z!_dws!x;J=0@pu$a*(@jiO-Fynq#J4%IRDsozgqLyB67G&ihW6&59K&q
zwiY6K9>EaU9BBc|=k9r1MI7atN#-tPx&^K+T6W-Do^}9QZR1im$mmw@sQh|dCpu;G
zU0}FwlP3loP%f+=uNVlIG9v{DqYfg7to*RyO2u$oj4^$-YPed5$}}F=cbW>pw!V_p
zsX6zxSSJkYqn8pWM>d~`HJh7Z?ae{>`j-_$K?WyZa%B6Vjlc;a5JLDSe&~R*>F6}z
z#Se^`u|n$a9Zx9cuPxT5-rDV7xIT}EaQL2Db413)WD>16%jnzRuDeV^{p-suU1usG
z{1AdXytA~6ojJ4CpSkO4xICXD6u!^Fv;6=8j%dAnwBIg7mwZz7zaGpMHT|?0kOBT<
z+k>jk{k=EH8%x?L=JGZ~$K-lABPlzqz)nJHH8AfCA{B)wssj-{m}`8w&i2n8h$IX~
z%XF7sjKuW>)5V$l#E+(v#DoS<FhC)M6vHmNkrr~TAH6*~FNDOFVg!4`yR4LJ-XTV_
zC-y>W*=__p>NpE!sufl;&Qo}Gei8ZY?}66`1=8MekQQ!%@cEw+B|QWh=;)`h9%F?;
zBi9edhmNt3juO@mHMZ@htFFxPl2$H5q-a8Iu5kr$z2p1KdgHsuQ>l#jZ8H@b>47O|
zI$QX79ixwax9)QBht>G{&Qs-5<SkFceSWd}JcsDctV{aLDE{H_z92og7=d}-TGBze
zsq%Zhq|GOY)cZ9QcT*Kz<~793ubb{y={IicHdj7J)L<&Iu7jfLk-l58EMOqU*%I}L
zYy+d*@?J^nsCeszKy##%zL>8*THa65N#Y<77Um_}e+0gGMKv{taDOMF-x6Y=6eDnX
z$a~AqQBR9O-mYr@Jv>d4)EZUOV?|Z8{Lsz#t2Gy*#7nN}_%njTeFK3t5#t}JaAv8h
z#`6i*o^sy0uh%N2z<YODcjYpCf3LO3Tm2K3pG;NJz0LGq6dq^qep5xaz6Al1e%^Qk
zl$Em~uz!QK!#h;e^hR*eHi2)N0mdHr-xiT0<Q@c>Y6*qtY`AQvA&n4u0D8x4LaG&}
zX(NzjHs2kiME`0GlspE!@KP4MrzPLMM=dg{BwcK|<$6$BLb<kd)v8s}rArqT6p6u!
z1`i%Avu8sCXoE0>7)?n@5xN1>(n|RJ^Uvj$TW*oAUAroGUt3lCX2y&ea=`@`AUbK7
zTH{KgGb99BeDud_Z@TFwb&l;WUc6XYb?FA&s8J&c3=FgjyVqQEjr{P#55l#n99u<z
z`Mcki&u2U!|3I00BMeVu!Zc_MxWWK=qEGJ<*)R#=^(P_#!)Un0_D4+$fmvzbLck>D
zKx*YgZkx31N$Dvt5}*u`>S3r4?LEtQj7eGn_j#RS1hCD;AM21BdBZ9|O)t-z)QMYP
z^vR$f+~;+?hFjGJD$_p{``k1eFEaWGk@qhbd3+9nqV+wA$i4Rn!^jgj>2keeuwNit
zmogM1Vup36ODp$H>#4fH_QPCeq?kdtuQc2j87x=zSlwvfsK@+|xJ<c$(Q25Im8#Z7
zv0fI&!CN)@_X4AnuiE4>-Nr&uKN<BYsPT{WIR<|lE;(Kbw<ZMm27|FkQ|<Bk3H>+A
zrsGp({KFHZcas~X(^W_1vo~i*F7yWjZv}1!C&P8`Go&(jNHsy+Fe+zA^*}I+88%!P
z<6=LqwEeudY};5F`acUxH+avkfbFZ~=(q{yKlT9vvw+xOJl_nwQzlM{KawcsCnoSd
zi6=689G^dwm^oOpz-K~Sv0dJ80C;)=>#&UD;5Hahl2hTv$htUG5j+RRJSI=iZYYy4
z0PntOv2<$NM?z|f3>$~z86sow?rYE(aEAdh>937~!16n2&Naw={RX^mqfi^xf3?<=
zFB*MB!Q0rEp7Nz;x$V7HFS(UYqN)R(WL@>G+h`oG<A=a@eEdOZ@FDY<bdy3c>*HM)
z&<u4Qz5`XJ+Q2^BXMKDp%|Rb81WEjUJeIA37EHc#9oA|8t@44J0tmk;e|-2pUj7z(
z0J)mCgmw(Nh4!3)-)k`D2`cAK;Qrm!BP~<62*ue6tP5v7e!Bra)sZSLTlGO2OM1X>
z-K2X3bkGZQBp)=8OBFy<P>*dWdVu{vNL4JS1(ViYo}+7Us9zY;btK#AaQ6ncLJ<E%
z#{cCjubr1GyHjS#tA7raPsbt%=PZ%2tstO5!2J{gu}SlZ8_pp)Cr@C^d8%z?K}NqO
z9dbg8qESKB{neN<a<c67&AA?N!Z9=YdU`hM;rW?#FB^1EJ#x@v-V6H-P|{<*o$m3N
zc;Q&RF`=J8W2B{Qm(M1^_C64&q}?1Z%R~KwAvhaB1$k|2<lMZW^Y8M+Y(M#Xa<;S{
zjJRA2fk#ZoeSjMc8UyYyz;FAtk+3^tu8}(ao!nJ(TW(=%+}0`86I^pj3uS0%s66`U
zqw?K%-zj00ozkV2K-XUa*NAf8YB5zOEI*@0VYUEJxTWjw!w)|UO^=r}ZroT>Q&S}<
z2$mZF*S#{5?|J8)r-V~gSjm5AAs|uHpfOMs2B^I71@Gfzl){V&;gk~_-ODi9IlNFj
z=AQ}Nr)wGO^To4Gi0U-YS*ed%hh=b&Rp)pOkNL;?%B9VAjE!o~-UcWk+rY6;I0ED(
zV%I!}c0OG>1o`1!QIj_><;2SgpTZP{E-Ujy2FPSUSl0?<$dr(X038&3+|}bXJfCH&
z$79|O+h)oT_H6>0hJya{RUPw~^;n<Rv0nn~n@k#yxlf_a{A2!H^ZK^6hr+ViK>pf3
zL4s<)RV|SWpv`*2ivjN}>7??Kn(MiEPi!+MFGFpOdo;%7N;qX3yf<^K%wOqFIAvY7
zM{6h7J{k9vukMNA^{qJNzA2pYI*!T28}E-%$vGbLUfHgdDP+0A4a)h9iAS?8EdZli
zy$egv7zu{Xg%DK3UoN@i66xB%iBX_`H3o{n02wfN@+*arLsd&4A|<GzjveqWI?zcT
zGZ>s%2k*HZSY|)A(Kvo=1YSok71rTC=_b!{pUWi7>m1s^IhM1GLJe3f$UX}AjqrP*
z*Mw3a8O7?GqvwSqJun0u^Lw&Yb=dIR%f&a%@3gRb6omQhQjj(4am!^A9FswR40_5o
zO(>v)6i!*n<qJ;q0QF7RebNeE&-U0pgDjc!gtTvTtH~;YdO$d&G=Mh*WIkU4>C~^A
z>E=8f*FrM00k7vALS&j_=UA+C$gFE_c@15l8O+T}-^}yomiNMbxh%mPC;K2iS#Hu|
z?i<3UF<92&ee%9}j`vGiYxc!<P2rS%aZWSG%j-CQux(yP!S~|UAISIXuEc$2O8}jg
za8859fF~G$m%IWiJ@Mo^vrd`6YP3w!qDlDl(@*97_uog7;FB_B$PkqVhUH_%jFABY
z25?uFE?p{SU?S6Xm-S7kRjZb2gU5^nOm|@ducxJS;J|?@{S3>vK6U2InabMAW7A#N
zRl7WIM)~DF^W_m}^{pt-qSg=)Dh(O~o?##qg5Lh4p4BZ^weXTxccN@N6Xt>W=%*&*
zay8ac9t?8=Pn=)hVBEl0rKY8*=#$oN;}NZxsR>L*(0Z=2?vnv~7cP1#znqOI28RTw
zx#h!8442=^dhhzaN)`j5kw##)l5O?uv_?e@|4d+B%(s?ygi;?;P89;uzW0{(l-<l@
zZo@}*rUfy;1*7J^Ft4sMcvKbCP<Z`%%|)^XDSEIgFs{ns9aZJ-^?jBE1{h2$6Du4}
z2W;}~>0DZJ*G!*2T{X6T{d$$MrA3Ptr!>yBsRXN#=uS9fZdCp;tqkioYt~F%YyL30
z@6n@2mAh`^#*NKlwWY_ibGr=E<m?Ik%P+q;Tvrhe@@!G$D#BRx7|R|5VRa0JeA$nr
zm?MC`DhL9I>7vG~$$%VATW8lg7qi6*Tb&H234!poKECC+1pBu&i`15k2Xm!XB>|N;
zejs_dx_??pg5cJ>Yv&HB+qt#m<iZlAL1Vx}3`91ppmY-VH?T823v3ot^LFD>*PFXl
zW=q-^hxvh9bLmrNYVIiteWqKfN<e%ZOkHJH>;_>Dv1MbdN@&pcdYTyE+#1mc9&LxQ
zL>_Z&aiLrYsOF$Mbm(C2y4`XesHafBetox9nL@@DSfdKNI$x2??BT>K@=fTmpEV3{
z$tQ&u{#7){hv!>`9C#@rnoHC&PNZR7*lElZr8utg(6k@k^~99pYA9wpit;cnJ%;j+
z0W8(7un>S{9O+sg<M8~HTQ5CuPWsthd>txO;RDVgUi4_zpfTVf2Czh1EwA*jx<fT5
zM>vOb`k<0wAgV?W6;FX{3pHpA6or9?aAY_Lo;@}WF0<uIl~u&Z;dNgVYpe2LNmaQl
zZ7!TeTvh2$(;|Lwf1HE`){$ITO%QuS128~~2@}t6Si4c-qe(;`$%cYM(@Fh$c!Ghb
z_J)fuR~nh?0zJ8|Jk;sY8q1X+pz6Gq1y6(X2Gj1O9?urUY!V*?4?4w^T2Q@8?bU$I
z=g4*}ZNodG=Z`A&=uhuv!F$zjgB14v{dZc|YXSAN&{lCTii5{r9eO-#roG}m#IrQ=
z+D*CE+E|iPzakmkz+luuEVQIU)g%-`nRSiTSwda8?1s2Fj77!aA$8?=EQI*zayiVi
zJ}6T_-MDs}>YJV>icU5^>qF5URzM6i00TzhG!>R5rsS$f&;w)7O0OoFh|v@P_e~9k
zVl%830%;yQAsI&z)fU1kg;otnvs>3t=p`J0>n2>=HE0YJh5?Eh4Y8tV;X<tKJ`K<U
z>S-XYB44s^mA6DA+Ow8VEAmr3J7cE+L+k18Ln4i#Ijt}NW+J+t$lg_X64?mMMa79@
zR;nlt1=FR{t@zZG1DizZwJO!_Doo>a>8lH+-R8A;(E+|b0kUVMNDS8JY0wxb3Ip|8
zBA@VH!-^X27$Cc-OUwLxG~WBfLwS;psOP~5_N2ikpwipqz;Vfrt0fUpT0k}53(g@7
zcyk1X4tkwv&=@Eb1DIP$ALq}XUuZRVC$)g;4l|Xs{1A);4cg)6w1iqopK!_D7Oet%
zlklqGT?xm8U6G(o420_q7<U8BT$s;|R)A{$h|Ihnj90p5FigB~>mQ7~r)$@$2%WWR
z){^*r(EP%6Q-j7pQ5c|y1~QT;@Q3F{g#yro{8VGa!4VZ|<fS^;S}`Kqwr-XD<VF&q
z=MV>6a~?q`1EGhN291HDFu-M2IZU*B8sKvp*XT<sFa}O$`Cx4oD2xLXgu%&!G}5-#
zD3xoAc~hH5oU8Ja(e15y&B1V&bp4`vAvxC0_ysQG(j3j$j6e)WRFBn=z<krO-w_qA
zpilR*vima*!`BC;f&s2moDPM?ux@A`YfdPrGW)>H<#3+`Q?nIJ{68y<{B)T(zkG}P
zVVr}tPX1uxm_&U<cL<GO>RLiGT@!9)!+M}?^OeMF!8e0XzTgdU->$nemkklQ?_(qq
zzsk9W(JFsy_{T_{p!QNDAO^|F8z47aqy$#40U-r93GhNfLH;|LpM}KbNs@uQd0Dwh
zlAe=*1n>JK36XCTPV7XUI^4V+%I`aS67JgVfR{I4_*{^qUad#B4_oaRxbem}S~s|h
zL<TgM@PH^JqOXfQc{Px_Cs+w^#0+smU~bV9Imwa<yfCj|T2`DSX6}(h;3Xydu&Pt=
zQ+{z1R<B@`KKV3*C3$Fhcm0;KG!Jian_8pst^@HlAO@O-Bi)x7D%3oIZNnN}fn(2n
zL^JR{#-(nwTwSocCuwfMfn~2+HDB3$Y#N^2sbenu$rOIp(nXcr<##n^qR36>;`Twu
z6rBWTH4Aid4?ck-2_k=E-v?ynC=`BMVhcypfR1=~fbzjzP!HSgpq;*GZ#d|t{k6d(
z<WuC6IrV84-oC@xEYN|SBF%eY=moE-L#x%jgQQ+?SI~kc67C-*L4LIrJ@EAkQ1pP*
z0IDzi<%13+D>|TP!pS5_IdMpmkj5%8a|h^VyhGQ<=$(qn$zkikB2y<!ldxLVq}A2V
zgEBDAU(O+QgE~l9Ks4r%hL}SlT+Si6h}uV-*yoV!cw-JZv0LInD@h{?zOsTn=bp>M
zF}+LZnUupoghhhux09tO@u9Q<ubFS=3`Uui=d?D>oUY9x2e_o0)_UgtvGg61nsvlH
zv~S6$?nw9>{3jO{I|8x3BmOVPLfcW{Po(g(E*q>ug?>=lrKM+{)*X8xeTv5JX`!xS
zUc@NHQJ4TZpWJfkGZGXOEbZHMknkE2SVxm9=bY2C9NieC82j|geFNgsH(?S?QAB1(
z!W@K#Hw225tOF9CiP;vAkZ@equ7mXC2KKEx^+Yu=0ee@WM}zlvs89`MyK#;=om_#P
zad36gQdZV$S)9l3{PjDZr#^yp7;c_S6Jg}Yky4{Z4QbP+jSL<<Smgw!@Y%Vkao+j2
znzy&C!DBg*oi9u!m6~d(?6+*$BFBy$m%smZJt;8BIJ+ccX9tX9Am3j%z`7Kg`Mk2h
zaMh0qmFCSG%f%O711(;@3>`8Q<IR=s-60j1Do{K*DaXN_9ZTCLN76UTqD6D%XzEr7
zZ~G)}d%om=W?SDm;(j+KfBQ4Q%{x3F92a*zt=X1(hG?JfpZTu#8`fNE*K8)eyAM|B
zy?S&%N4)W@I(H^#Tw1^<nlD*-$#OJfyBtZ~CbMSzCkc5gBtCnK<Vd>gu|2;Otp7^3
z@faCcBgb{KCYbkN9vAn!qJGT!opaxjK^JKP#f-9|V#qCP4w1owMo9gz&eFfn5Oj+M
zstE8sUa_KpmRh61A4pt{r<o(OX8j`vQrAlA2}h=oq<Jsj=|WWDiWV1wPUmOs4(-K#
z2i&#eX}S6S@EbGV9o`1taKiB6Bcw@_#!|O#U6t3J>Fa8SLKtjdoOk!TbPMTMHCeC#
z3SYda%a$!i>bo5I>o50ol5O#wCfy_OdmoDT*ODUMIAQr+hJG?3pwhU(`U6I^mX7WE
zN;IP5MKy|+nCKX(UAvA%MM0BTYCvq|OZv&<icZF*ZIweQ8)fN|1#&zc^Z?4i{cDZR
z4{t?q9-9z-bhlx}Gl%8;juiJ@P<XSwgTx~N?2v*6m_wSC=^V0Kj$#hkpRiu${=HDr
zt8a$Te?a248A9UOoI@}@*q=cYC``yp5>GvwUMZcsbe2~2he+p6oIh+xG*DQne-o49
zWyg*k_ItF_$6ZGkDoiX~IA1m&or&+v)WjRrt<TQhfMtg?W=|n}C#yQY`<BZcc8mK>
zI9y!Z13Z57J2L6x>4=(IKrJrfD|r2+q$F9jauss@<p}e^GEeNfb?YQCF;RSdeP!<4
zxrN>#8Q8N4CkvZlix|kDL5A?;s@lMT15PO>12JgOAP4~k!mwG1MGe~-3_gY9!zu6|
zwSXctN%K(RNSLcZQ@8c_9D8YDjGCpnLU%cqRyF%$TIb~M2;u%sB+MV`O&bLHMoR7A
zg2je;C-bFocpqFzLg|I5la89i97IKOCL}&SKEl81)vGH3#%$Zu?Tt6y2uA6op=}4%
zBGbjcEF|Fj_~VZyI5=4KNxZXf^O<ujte2f_wNMHewq<U+&cQPr(7(UE4dz1T-|X45
z#m~=A{`u!0wI%cC3eNQXHplL&?Vde*0*?m1yLam*LBT<o?D5VGHr}~hghp)Nt%<~^
z??qnHSV_p*D`~Jorsc#b%Vc`?LCMU6We<&;$^x?=zIDOAAxI%pAKLuJ66xPqYKOFu
z+Q@lYFSM=rR`Uas%PW!dGbl(hGc#r3f`xJ->xBCL`7D+$U8?ZLtuv5e=Ce3m;B$5L
zU9r7uuDMn<o1UI7$B!RV%slbfs8J(3a~vGz2X}2>NzU94-0YR)oLJ!GC~$K`QnQio
zI(NV1U<StP?Fcxo4w4mAy{?2-ZzSP?O{8W(Q>h))4wjF$5*Zk6d*||H!-fqqV88%r
z(4c|ZCmxnA0WNUcy#G0K=BV$$%*pN8QNhufzC#5qo!MSt?_zOV?%TJo+e@hM88KqG
z%je5642BZRIk&jAF@6`$G{<_L49@Y4o$$gbu)w8c9maRE+geRdBLBs~R7XL2XToBK
zI-VSa`h~-@0>s`1v>?`p1+ghCIJEHaJBUU^e6M`Nuh*oRoIgn?xh?5;V8Vn6^3qE$
zsSy#U{Fcn`$)uA!Hu20cE?Tr0<8eP<ckI|vDW=#c$INwNd-m*+BS(%%Y;3IBKX~w<
z+S*WI-<;|F74>fR?b}cF#rI;+pn+<?Ti0&l=kKTXqnp-|lhu>q#j+1d=~zi2J;+9G
zdw6Q4WRXrDf^Z9(V@z}E8uP~=p_YSu>q{uC!I7{EM+QMr7tl`XhqRLrScf^k=7Yd;
zzGMHyMR}M*MvWRRVPT<4o64~r002M$Nkl<ZAsio{Ann_?6Q*5so<rKHIfPd0eV9Y`
z*ya$>$rFcR#Xck_3Y$Z!he@zcU8w;&8G$*Z4(5<r{%!1YNMK-y{hcChoHlJ5q8$53
zMtX)UU$I=x)ytQ|U7!#+(|4zkri*o|sCUrQ#zI3wrLYv4{1!Q{xProXPS(#mnJ4`R
z^jFW^)%7eRPq{y7rJ_w{ox`acV6jgz57jm$Hx`PGz4o$<oa3OE&{7o>8sMD>1Yc<a
zy$I+%&;lNoCt=YDgtt}g;MSmzhE|gN8*xCRMsYz4sKv!t6{~Mfc;;=NIN_0BhgtoM
zxBmWEH0K65d2nLYP<}DM_k|(GlarHSEj^~J0vs)$-O!;!<;p9sR03mJ-huTUKhyWy
z`F$nBT2aA@7fv!JLwq{-!wHHC0uxNUkhxyDa;0K)_V3>>0RaI*Vd#b%ZZNB!wJjBP
zUAlBp0_uSS2R!Q66b`JF&-5L#wsj`^#5eI?6p&%`q+U_&=<}t6f$`(V%f5a4Wb)+6
zuxKKrY#D*|T|d)zobQ}<?l$Q`8Qt0$cWb4UXNntlbI7h;yP$MfBr|8uR0@!YhzNQ9
z`R9cK(%A%)R&Wk43aofB>z*lo%y!On>x^f2?N#)5)7^blgmNvQR)nXd$EYz-fiXar
z-WOhYLE_@#lwfKKD=)tIqGGtr39ka*q8|DgV1UAJe0;oYMNpDI{`f-<A3m%s1H*?8
zm&-4|{0v$y-leA_pcbzOU0Y+Ico=x-p@)=WkHWx%4?YO@dmUQ3co?iawW%QFTuO`X
zk|j%2>JHAG^!Rw{si%}D(%HCMbH4UOKs_7d(S1~23}^wh@;+OAXBq=#j)6&&CdtN)
z8<mSn@7}!?v$b>QPPy&2+oWH=e##}T%m=9lP%bb)H)C4aH*MM^GiJ<yyYF!c2?>$W
zqeshm=bcyTW7Gm_siRnTPz(&*ci(+VaYOfV0_o=+cid5o7If9hhyl8$rlh1O*XzZL
z7b_1X3XLsVw2((0c|>`kl;(YF0kt%-tJ}6>Knti=Z0LQB0gZtY!2s8m(jAE|KJDAL
zSL@KY24UjFi7L3#J@?#m)-=8)aznb2vw{I?<>>-OL6rg{*9>!gJl)x@xZ(=wkM+f+
z1zJEYEzIh6i;IDA<HjM-UxIY%)Jd&}rkf$ZjjzA{y0}g0`jr#|oLjkch6>+>3m3}j
z)vMK7dA>9E-g~cFLt7fRt_9T6z^ZQ36$UEq0x4H_qsue~GzQ8P13&-#vx+uJx6P(a
zo2q~}ty{NN0>-!Beyai_jTtjW1?nl&f$Gl7B?id+a2+ZGB-N~0Qw5)3&<!MAb3oni
z7mhb$*{+3UTdQT;Tw2SvSFKvErJHTrcFS6}?S7wqe}CV)_k;7E_c`Zz-t&N(p8yKP
z{AjiqzQj4o`E<FyZ_o}jZbZflw4TgEAn7e0P_G0nHYgA&fX`H+;M)-&^nqFtJVU|8
zrcy3yJChe)Q+4g5U2mPZ3P`7q9`07`m@obH39bpCEs&s>13ep9%Acq4iu&-t5TctL
zjEwTYZ56_(T00KQu@X=O;6Sn&va+(GLORj2>fDrPkb^8aO`HuYWOrK_Bn`jrTmqpm
zx>#)*GJ*zNQX&HM&#G~$mb?r!feU{bRVRRr9!az7phHgS6EPs*0Hw2bk!jp;ZR+?+
z5?By$gK`PDzNP2^F3uBkipME8i`Jr?_ll*gKCuHLAMmE2tUtid6mkL&an;oS@k8hH
z89%S*P0`FATRPt#NtR_QSk--mp8+Ieoa$$~a~2#RB36-sA0uc5?chXzI->(bxzU;W
z1%uKAl4#8X%BX;dC`iO&<T&T!^2U-4DK&^pzqdz~PT$uEA5+hp{0K<)10q<pf&r5o
zLml1bq^xyW;EL%HL3RE*%9#lyg##kIJzWj9D?7j%OKA7Hr^lrP37B~P;&VBo#g(_{
zt|LOxN6UvY?fPjp%)tV9tgD=TGaG7gJFn2A09@a71I`uD^i9DK(C3}+9W3w@z}J-N
zty^iETmQU@`%+_+=UFLW;xD>?fH6T9a$|2oz>HYpOiaq_Xy!pwLlQsW4-H((kw2;r
zm=$QJ<AE%@p8)EAHV+pIi%QV*M(I(G4(~z>sUXByF^ho?SxIS^Pp~5fxW__I(&1ky
z1RPQoEk`APWDpHhO#hr(BB#@V4p_US_E$Rq*<C(K>aE;hX(e+f9!t;!5TXhQC3Rz}
z!=j_!R-g=qPP}Q#Qrds7M8ZSGGaZP&ACMKKuX|~B36fcXmSL#G39b0Bss&Kf-&@Te
z>`UwykiYf0Xx0@eq;bhh)KQ6ZS<lio@5ISEvsBQ(d{^7iE!2d7g|8rOdpauR^eG=g
zt0nrG5rH}*!PIYzo)1U>OH$CW)PN`D+g{O3BtR(`tjY?8omF+nk^Q%-zTs`ObkeC7
z3;}<^6c7+F)8^sS|H2KJv-kA$)U~Gis*b>d@D3AXuv)5LfuOe@HImWG8X+q2_4VB~
zN%uqtTDL|<Kz~<;{9%lJlJ@uUFlS5jf4vW|jOHca=%C&3EmcObSB*0-W-PlTXaYM#
z)aUKnzocV<xzfTM6@VBB*&@pZw+jrducWC2p%4t^CmYZ!D=X9E#Tme<i;|dO6Vgy>
zv#HzwxNpbr{W+@!?-#jgO9-&rL{wH*>i+B-9Aq#@#%8V4`PU*sLRR`=L?TPC*Myq*
zm<u$j5~x5A(aHf9l3(_9EF@*oP*Ib<kou@eNV_eN{+0HWTLZG`S;>Lpzx3yiqa+Ix
z)$$=KU?c#tMUE|F5RTLvoZ_*kom*-KgreGVP!HY<@R<*8A|$kPY##p#fML|n)G9Rd
zXF|@t>2aURbk}?xC)hobG)LAC{rB^*AgLg`=3N{KC%R88RZ&2TXQm5c;Yw9W(D~q3
zM6^OFy?y{C1;x(gAgLzZcKS2tww%(?91xnn|HX-wiDqLttCA>7*YH<BeNAsdRi8VX
z$42E7iNmO7X270o1=~z4C>I480*RQ9jMyWU^rui!Qv(VSV(jA*V9gd*@1r9!$1LyB
zB?162fybSA`hMhvr{mk#-OXaPGgctH9ZBf-nuHRM)rxmaWpW2eyyOtdXn-|hZ6anT
zO9&05bX(-(J5JCDF9;981welPF5<Q>1z5uxR*KDB{pr6(9&Hact&p4gAQG9e)U2o%
ztBiv%)P}udFa5T{KPKcyoHyYp>E|foW=bGm==+@3FPObP-Chk4+R^TAXrCCksrR#r
zh;jm^g9s(>Z_kxw`mGv8Q<34}$~fvadA_!y<y*|7+D$&E{Ej%k%36Wf9D}#<`KAjR
z4SwPD15?umR3dsNQ#1febXXW;(Bxx^7xBOs!!NN>gxoli8Q+0wo@KX()bHg#n*<%x
zSHQgzyH(#OU_eCL)E^2;P#X_lzfzFV>g4Dyq6Z?;)%zSkZXw=X09H}^gh+pP1_;;>
zm+Nhm<qv?IPaO)$2u{MIcM&Im#)gKjBbn}x73C>{CH}F&+U|L)0{N?qU?#$W+cV)G
zwc#H~4^75tyR7B`S7)=J&|LF+yI?pH6?LrkFFdG0O>Z$A9)OWz2<V1>l=Y~CK^R0^
z6dD%BAe#8$`TlIJ^h&-`uUX~aDEn3*3%*EAxoPeFi;YxaC_#v*fZ8BP>-{XhHxKO1
zgy*#umw14ip&i9oNN+(Ta&na{@S4Ws@xmj!?!V7CE^Qtt0el|mcY6SUlLP7oldEkV
zxGY$lrygV?BeS$42h^pW7XvX`(+A-J1(Gq7;g!7DcLWoDZxWpzJFe_BussX`C<HJE
z3wQyX1k!LxBY@sThCc6juBgFbHKfuf0+LwCCu!&X=|C%9FD*|V3vB4U76wE(O+AN@
zni{rz72pZ&Bx)K=SDabgTB)r~Sn`_R80aYfQ%Uab>AF;BpSQIc`=5VoS9<v3ewd%E
zcEKxocfM3x=m^PVXF9(PyxS?9*@)Mdn*&Y|Vt>~^2#|9XduRo0)9HXA6a6KB@6hoL
zY)FnmRv85z%Yy#&ZL-KHU3rPKMQ);hl7^)E|Cg6hhk?%7zej2Uk?_^9#WpHn%cKiS
zZv2?U^MKs=O^qp5tI0mQ43I`Y-Je%l7HEI5;{;8>{M+wo7XK^&@(xvGmVD4V9$#jF
zF&;#*%key4vK6n7fv1*v45Z|f`EOV@6J(WI(?QhyRpTiF9RxnNv$CtAq*tk1czR0E
zL#F(14rvKByQP}^H5GOIbM?Qf{rwP!6joGDx$$2~gnjj3?{dH+tABo)vO4ZaC8B`0
z*7Hd`Ji359HQK8>WeO|=a^!z*i@pz=aME&eYR#h)!tdUPi`BUpa;a>R0IN6PZ-Hmz
zYy-krX>lnXOJ)CpQ1%k~bbI`fd(AoCBI-bg0Gh<e|12IDl28_bb}_+!UIf8OqE}D~
z#3nE3;Y>wI(DfuGB6=bp152mb+w$gMn$4u|2ODWFiAaARa3KtPPJeRe@$9=Gdb|7p
zdj-db3uE(Fd;pO+Vwb8GM$1%ho@8#@R|`$y0YZjI$QFGSrCn|=ue)#IQBmp|P;3Ut
z`mU)f$2SO3kczBbZa=#%4o-VqCiz5?3se5wjvxW6!I5qns3FzbA_2oXX-CHzm1rk<
zVQ4mM;Qmqn0SlsUhb{lbAy8~82Oa`Bd9Ed2GzcUOfNOPs+=AJuf5B+v$%BmpUBFKm
zzwjr=^I(cRF?2I0l1as;mEk1nFd&&1Wa(hSF?(Fmst}5dpF{bO^oThP&7=Ph19(~^
zmH-_o)jBp#PIU=63-lHeLC^H>f1X<C|0M&BYPbr!Mn@xm8^MmJBL?ku&-$s;U&=Qi
ziY&T#8}^V;1!X1P%-W8~t1w6%goB9zFxmCqxax65N<_dIZcy+)W`YR>APD|PU?bcG
z5=1g!zlweDsBdTrUIkK!wWnuGPK=&sol!RwHYOz>pH4;losQMt4xeViS`wwlo_`^+
za6Oef{g2{6_PhZ&+tLljpFN|NxpGJAKw~1YR1N?&If_}cc(km@EQa*3bJVg)w0n`q
z9fvBDL!CekM_29ZES^XRE$8(4-k|07-zkB7-jY?fvhxahU`292;?U0>dRzggf#|vu
zr>CVE@V`j|A;tidHgnh-&Zz*j>xF=Bcma?CoB0S<B1wUIsfOda$38-R?B?d?zs2EY
z0K5b==(?XX=9v*$d*f+d&d_xjN=o_sgp4p)8mcNP2|Yh}8S$g$5X+n<c=u^5;cS}M
zD_iiSWMtxinu6~5xx8_`q}{OOtW=5o%p0Iltq+w}8f+su4FH^X8x<L;x()?69;yUd
z|ASLt8R}L9yUy1J4gk~u>M2v4LtE^BVOzQ(zR;*w&2lj*{5}Mv&k7a&&k_>DMasEq
z3aWc-=1)if5(nUYG$flGkW^KtE4R0|Bj?Cq)!7WO)bNRdZKth8M3cqfI(1uG*SxRC
zM@B}Z$^oeRBVczldDQE?{Uh+rZGC-xmU+NZvO!L9V3fL6fCI=DcMNDgHcphF$yhE&
zTYAQldYc7}fSwfBaOXJh=+KhzfAKWFUvb_7W#kVDTK7C=G@ssV$wOjpQ_?nTs>~J8
z@P{i3)5>P4`iC@rkGiamg?aKB=^&Ji;WC!V-Ez2|Xl?40;j@1QG*;`SIp4ArNS}U>
zg#4?%OY4Z7&&^*TfScRJhqj;x|Gsy<+L5L%ikp7}5J-<mOkSegwghuLP*Q5<muzZ?
z&-M8$&b8V4ECBz33q98Q0Q7wjQuRTGn*@I*GWZ!rBPYyte6!L>QU@Rw{KG;*=tP5#
zmG1%jSC|>wm4;zJ+fp|Fvlf*R8rf0O%>+dq7rKrJs4o?NbJ>=xb(EgjC{drUuB_;4
ze@SIdlo9oX>wJG}y%O3~LC{e-92N^9xo);8^2D2}HJ$U?dx{>V0~JZ9^El)<Vw*+a
zN$%#;RQtX@{g-&ZdTJ3sPv99T$ch2y%UICi1xZr)6UP>SFq`8=EdIIZ`Fz^gDhDee
zfrZcGrnF3gwI|4PuZR>@D1s}Z10(1F`|0%g(s``nD3OLq>bf}3$Qpku+$YgOuc;@7
zsdO2Sr4y~AQ;u1D;|hdn>9E`4&2W)n*ydi{>uE#3a}1PxSe!Rsji-2LhO>O1q`yw2
z(=|6Y&(q8bl~?&Z-8e{_jybLV?(&6(f*KQti-En;gL!>jnpWN82SC>K7yCQ7F0>5Z
zS9mH~Dl#gzy|6Lq>y7T9Lgb&z>$k@XSt<rvkk2__^M=zBCIrIppRIgvZ*NSgJQbZ(
zkWL^r*R%PrI*d3p-KO?f>z%_=u?Un3TFIjF>G%?Nynb&lCc46SEd6tyh|!5QtWvYQ
z1+J&dOHQeAS~?58+To=he~Gw9$1l@%S25fwx+35-_g#Pmt=<oTpa1^cX=qzVZ77kk
z(<s5$MVn9%xiXT-pzrH6;l9m1_R{x)Ls$3vCb);55w7AObNGh0QGL+?fG($nfcLje
zVbo7rxqwELz~8~WI@JJSycA`m1oSc@E-4ww#tU^Fm6eG0qTJc`Q*)LXPrQ-m&0A#J
z#gOWq(CHh*JxA*MCPV~uQ?=(QeJqSVF);DmvkuxSD`7N&kGX@!l|*h~@UUW%s4a}}
zq4#;Av&wJVStfNIy4})bl&;%3jt|NQ{P~eDR=5tq^$IS+L4V;91FORBM_^_I8CVV|
zlRs%&ksekc<R#9V&WO_=XLP6100YgQGg*uSp|b|whR#z(GUs6!#?8z8fjx3eAivQ(
z7_uEy{}bI%W9|3n5HTD}WIWs;ussF)N7~TWg3(xZCBpT38_oSKu^4G8yq&>sE9&Oa
zR!=vF-$P{F<WR%Y6Mv-I>V{`(Yb?%(K{2LCMF+*#)6G`DMl!V=V2u+$=dCbK;=(l@
zWFaic8yWVYWx>AV@%Vo@YxuUb758w>=hj3v&6!ocB-EI>u@(D;Bo;W@HRqYSzJOQc
z2;d!X9FxH+?qAf0e1A{M{C9uyE%kBDtE=|Bzy94uZ9jf{TdlRAq>$cgC}0L42VMid
zM#bmxe`&24t&kIC01%T16ta_Lo|3vCLRRC$nS5{*D5&Y%k_vBZEXB2jVr=haQ}fr?
zof%R6e2Zf|d?DmO<#p+LZ+|F5k6_^6mqKihA5t1j0M28cqF%8@4p(%wI8bjR!0*vu
zoy}$WJP?jN4q6uNtX2CR$;@&Ab*9Of7@wDDl2;fF%7}3zx8n3@W{riO|Ic^1-yFla
z(W{$*htW-;llYDSk^M~evHR-sKnv*mVE>Jk>TVzslYNICsSR>^AY}aH1L3FMAHF=c
z$>PT6)(>UM!cAdPcrY@|Fb+GUmW5E>L1+GL(=oztMG01UQFWGA%v4mLt>?>%XQqF-
zCJ9XSARd2P#)$P{4jO*aY-=$Z!hvkvd7fqT3<PqrXJEdJ%09qo{0j5ap`P(0qB+p>
zu>M@<Y>P*=-&hGt5YJpEq0zfD{@BU}aY*xyb1IX>yAp3Uy^fXI{%6nniiY;sr&glP
zC*Oi{1FYWklW<B&>_rM90BOU&iB=w5pCI~cNXa1zwztel5EL>O2jlc66|}z@v1sPu
zF)x%_5AD8jdP(xv{**#B&UDJw3OT_IIR(l(=r;wNuM0u><A-XVypJiBZ(!o=i)~w5
z7L$%9csb#sP>1a0{fcD47UoVH)ell3#P764Dwh^)J_G%Q*EWPk9pflWR>e{yY_WaX
z6w>T-jY4leu?zFaSopUT!R)h?&;z3id!tocn{0I+O#q2c<925U->=a@fO$xk-8POy
zbDk1LoJJIF+hMl5H(b*`T;r@5@o6#RQ*9%4v6m*dsE$P|Y3dW6T)8g=u0q`=6z8|7
zJ1ZiJptKO_$^(KKUi!}zfu*H|B}|&~39CfXNT`h5dC!H<sP>ELol)fugnbfvj!EBm
z5}0gI^G0$6rLUOxI=lrIRPC!T#62EoP_GuZF@HKeX_|u3kyFmC-gMM@_SLBt4S2oU
zjimgHp^=~P6=3o4;^EzwcE3tXe#Kee7AW33h5jv08Iimd*5+`6vN?OQvYymRe9M?d
zjH~sP+F0nRmo3C>YS8SY&_tHy5bB;z_5Q=H{)|63`-BDPpw#rfYM-ZmH&|+v3y5#e
zZ4Kc?f98(J7}$KXj{C07AVLA<ldrxea=4Zks$D<UDC<fcU>|-WkVF^hRydSB`{~ig
z6w3YcHj~`Ujw{#>4XfEtNTIdDYKww&b@I_@J+vM^8MFD3El&ak;o>%_;dWABnS#@~
z4(gY3{xLCvy@T=fCWka{EQ3(f`6GY4`CbD|xco@c>7X%r)!Of4eh#mmj1EB&?Qo=8
z$F%xe4O4K930MhoZaa;OF6<Tx9*t9S+Y5#gM+mtMo%7D0#a<LOJ(gZV5I)AY>g!kj
z{Fdxn@((hc%v0g3FqSV1#-y**V=N6vj`xOMqzBZ=b?)+1EnV1)^SLWgy=#l8UBV+C
z<u+1G!5N#3lnM5IAa?;6=c_yuR7Kl367Tl3o_=?WoCkOQx^I;yQO~K3?9yvENDD-A
z@p)r<m#{u*4a1UuGrmtBPOWQX^LMUN&TQ+%;%RwAK+Y@2?+tu@lHMlpRT1t}JPLl0
zGE;IHOBTYw*`O5dn4>~RoFo(eR_Z0|BB!;UQrqT`(TMgo#k|`epQ4G(V3)aEV3Czj
zcOozhp})_?$e<W4+FJBB12FA6(L}))&HTK&Y_;Fc<4#EwkZ_TNerYltQ^g3~xwEol
zmujdZr-+%nSsQf~oHKjqX?51I+qS0|hTteoVr^2p`dspEVI1plJ2$Y3xG9p78uGCN
z8a#`i8EXh1&F-%-nT}(_jr0{7G>n=Vsut?qjD{4xKj6*5l&T=fflG;XT?ZeEWL~=a
z><)VjyhkQB8S&b@G%@EJ8-utkzR9cjm1GDL>$0COS>LG5g9fedD07DJWzAI5M^A8#
z2HWgLF;Kix>ob9zKZVERgIuQ5uCqM&W7YZXu+cc12sO%`TAn>R{@sz5ITl(%-~?;b
zC7#S}_^0j`TB#jtSGM{!#Oo`<Z>f}K%BAZ1P7~r7*{dJd(Y&GTR*eL|ViO}Cb1rzh
z)PXVAPT;mxhm+tZCw0waD`YiEWC37?$kiLaT_7vncx$b%RsK@U_f`Q@pryC_c$jdp
zNXxUUwCsfODRL!B-^h_di5J#H-yu!l`PL?jKxxYv;1qf=Xi>*4w><fpW*7czfoN3f
zFuMI+HT-_u2>ukN%;zJHBOBl^Gn#?9#FX(i;#7(yr>G<{cM{_%_v=a4Q(M}@_r>#@
zMJS{s$$Mv3M;}{tAG=Lan*j<=Y6-)@^AuBu`SY&{B{jO0?&I~yFi3OJ+qw9f6I})j
zL|i^bsbz-^X_ox0cH5SQ0g?V5h=t&14Q44(rD{pT8_VLfoBQbz_T5S`)e|c%rN{wC
z*fQnHs4|0)MJxc`3v@wvz%nBihBW(lOer*11bY1ujT?DGu!5{V$?Dc7gj|zV{QZG?
zLZ@=KE_Xv`*V)LN{geF9QP6qI!c}m9wd2*I@UE2zH6M<`-J!wm$7qr8b-ilBAb)E#
zGxd{5h6UIzaS{pwK=gkB13hNqpQxCKD?;0R62Yp=k-+$`*ll<aK5kDQBFL;2I#M}M
zYIR%sWj)5hC!#{vX4*207!t4=56`6$PArFYT9~8)Jw~Z_q!Lc*>X3Q488uU%wjWRn
zcokIWKC*P_wRy#Cb<jWVn}UK$ycMgqR%3yBexjCdJJwU#bS%8NM0|XJ;?m0>cDyXL
zGLU9~hUTWB!~|@Ywa(@y&)ec<d8w!!(pB>Z5^t!d*WP#lzk-lI<BblVlFha`yFsoR
z6GE14M#mkd;%rH0z~{GKdVmCWkLmEx`>BApPZ{e5A~aKb`E2W%+R75G;`|@RXN04!
zr|*;e^|mBz*gi(Op9uQz%bvvfi6Y&8IE?)O?-g2+=7wNg66`zVNQpmoiG-j7_kUh-
zMcV$b6^W{qCgjsXZwJuH;*Y6B|C)#-?i-LE*Ycm~O3jSm$@dnHy2l-6Bn)`@FJ_2F
zt6x8F^2<}a?#7`GVQLxB97CX2$`u~OpM4LwKOfU0zY)%n$JZo-g;KqQA@>7ASJ+qj
z3Jq=d>lB%Oj5~Xp-u+h~nnyskR6J@9qL+;-m6B(urDbK0*6j4!@ZmRKiA=)hg-=h0
zbNGyMI`v<pkYa^bkLwG#;z|-1V!_m*TiupR?e|lh7LXB-i{!QmQb07mL+^J;rlA?j
zA@4$7*wN2Cd3_<keB~Hn`Hoa&<MoCk+uXYLl@oerGXRBH;oVz2&7}4I)|!Y0&Ooff
zJWrmETO@l48u#yS(GE6X+rS8)Wu@T|(@D*$_(;+g?6fku(3li*@0L_q`Mr3?r+R&3
zk8|f<cX^n!u|C;O$=4-$8GbB}*BCR*Q<s%hWRru6s&B&vOSF3Ji@jH@DD6e{w8T8#
znBCYOjckJh1eREy;ry{2$FBvV9~^oa`}q5>IU?I6T$7nC=7i(ISojecXM_?@Vwdwa
z+z)I-PMyqGf2-aD4kfcrIyc*SKqzd9(%*9Jh(_2HZ4HwXkdW2jA?KWhopG%u1Pn3o
z*4jL3+W^|(>a@`ay@XAq%ky~V>lHDLNj#VXwm0r}!aopgRs7}Wsm2%I)(<*N@SfO+
zB3(jFHTh<3oakeTwkPOX+=6rBckPQ`TDTEoUt&Us<`D#`Y*mD{uaq={-k~AK{4Buf
z?&VoK?VKWP>%>&dnWU<|FgJ*|=r=|{uMZWJlS43^{0oxb!2FOI4OyXl^z+f0F;?7k
zu~&vvRQCX@c}3CX)FNB}K6`}1W4TwYlx>}8Xwh4S(GPUddE!|JpVMj-pJ>Qh7nu0~
z*8!o*C_FlhRZ*%Uc9^XNiKkpAW~o`<+n=m8(Fh-Kb0$Z}DX9hEerb+f{=$c*^t4@A
zzMB1E$-iceuA|R%t|sf9aUF?$v*pMP&nrS0ob9w#!K0*uDDU~<@yV0~T3in%_`z%R
zz?C!qt9?LV&UY!7<{T$Ry;SDbOaZuNqu$sw4&91=fyUFzGa2P2yujm-Q;K|?3c_`I
zu@2G|og|^<a&N?9c%1y89qdbrgFk?`s3Qyv4BjW>fC<p~E$|ESH2Auz*$YE7W>2AA
z`6PAL!dNbOs(EP>CmRDupIt>S2d>B0p)=aoiv~?Ciu`ab=`63h-6WD4v9#C3%~lu>
zps^Ld{vdjUG=IQ}5lO`jZ!;bjVZNR=CYjJCM-y|(ROOQ(BwqO7UH*eU&F7dwgNu?j
z#K7%*oe^+c&Hp!oCZ0w<L1K1!9MC=OEExK!@0*&K{2O1TLJAzS@%bp5%%rZ4iHW%j
zv~(md`~{ki=oto0Y>NX=onAk14rW3Gmt{_8V-Q0Q1O`%n3SKaVx}(6AETy>qp@M0y
zqZOO5TA{-|`k4J}a#hPlaFRLyC9ygkJKf)>8Wp4Y8LU|AQQzz8fmWx1;T~6dt34rP
zRK4ROAtq(JqxXZMhJaxQY)hli$ewi|jP&YBF6ue>BwBN5-=cT5OT)q%dv#P)ph8G+
zPbmeS;IkWBW4?By9z|I@9>MI*p~e<F%hP^Fyf7n%Wc<?xw~po@UA6T=E)!~<y`*@5
zsN7@nYqJOA<cG<wPM?z!$OYlE1mOysV-<j`3JU<bh0>^ah3;WH*AKrG#ENVLly}fm
z$lpUB_Im7JFjBG%$v6TLN<hXR&j@4D;mKY`LqP8jl@F4audsn0%N}SQ{kcVOpz=NH
zP$hf^l2zMAEEd<#ABAkKf{qmmB0r%H;=I|sL`$Q})ij_XZ@k?btB3qrcHt~*ocuv0
zRw4xJo(*eX6gY2^QU1mM39Co!wVPs*BB#wsn%%|fM^<BwU47yOHd6qY)z4NMm>8Kc
z-f~MeWH3deq9RIZ@hw_7pMPe=%sp`o+SVDuy&!$1y5Muz^XQh~u;Z6XPsjUrSE#7R
z8G^b7zj&5#+3_T+<Cs!koi3-4YvogPQY%ent)w&gq<Xl3)*OE)Fxnocjfs`p0#Ej|
zP87~8<atFRY#Umzl);;n<{=4ogwzz5PSnWjU){)rQeMaVDq4^GnZ2unM^-kgJ6{|2
zh%@f~_L~TVezi2_PCEgnkB-x<d%<tzJ^8l8W9$xxHAZmj3^%-OF2O{QB#WA2lF@Q&
z_CzEC>ufL@E5ckKjdc3zAB2$?zCslCnP=Nu200&k>SwFpNJl|pLVr}igVJ|}(qdH&
z9Fm6?%r!Y>i#_EQx4I8j7ToiQ^#LbF8FEFJ_O4W~$j~nHQN)ar#|p*-xW2*L#Y|@3
z9Dj7gdS35FrxzuC#JCT~UV1GWs?Hiai?T(U5|PAMhb%3UCM@TynRZ2dlI|kK4h|UK
z9B$~<>3#L>-aqb$7IM;H0f-Na{95+YzCpS`3BdPQ(aLeX&4Ufl2Zmh@lKSakU|>+O
zuqdtjz56r+y#V3~Vc-mDTwEN5>0oqy^5DS02*BUab$53sN{XoKs35v$LeMm4rm!GH
z9l?yeJz!21d@=UDiIc2{reb3J($Ue7n7%>-W!5L_tK*|K@Y*1L#ajL5>7?5aCXyLW
zdM-S1zBoC>C#DeATL8u12tB$VZU)Bs<76ywiP0D$lQZ`zCiNE#P2p^Ay>570!Jj@a
zEY!sbu^QLBYK02iJTpC7n6`Pl=-crAj)O*VX__KFeV-?eC+vj$V}WP|Th4zLGAqU-
z%cAfZ_K6Wu4I9xP%ePx(C!m{r@(zFCeW@o1JhOh)y(KOqg2EDF!O?Q2)H1gEo0h#>
zgd_Tdrc!UQ4_&F87-|x_OREiavq3zFOdAe#Jbl>O-9|mk-PAdKYBQqDLW$)ntmmk;
z-dq-PV?{)7Y(!K%_iiKGwtBM-cyk2~$f*8(+{He6)7?yc^|FA&znu15^6rziu{`~I
z$9KS4q>=Yeg@Xh#$@*Y*MG%|=(Ud4EMGeEz??%cr1JU!byOTBL6MXR_Iz&55`JNc9
zmcNVg?RQwn5Op$Be)t}UPcX#6*S~mleGx>jU1Fgv7hn)`oQc<A$hk;+=wdPgk`UOG
zKAJ?ad!$Zqu9Do_!I}1U$fH}g=K9F=o^>O^RA9qU_Ar1Mf#D6YviyPHp(+Afk6NAX
zMq_b3OHHr$(;GDyM31JN+7o{51aZBsCDAe~(|z$rzrT8n+O5u3X1m(Hl}z1rLx2%L
zv;z6u#y#8+d2HOTT@6izUWizIvO;$cA}9JN+JxfgUA?-{8L&Esi(Cn7lKHM^f@zFR
zhs*;v<LQal^y5&OifK`ea7uL@Et`5z7!&7Y!09XNav9;#$EB2yj-N8c-jv9`!afXn
zb#)`{b0%Gr=_&k1@J@+P8>8M1h>=bqRM~(k$AbEH7VyY+ovFZvJiqiRtu5BLMXEs@
zYa_Hw#=gNdR&8%kgktj@^kj3@!<Opk#P8wowM^i4!C+H><2oAk>NcXO2Ucy1f?N0H
zCEIKoAmove`vO8DN=#e*|3Y9p=!J^RU|e&!m!VwTS)%cQgxV+Oz}jBqRDq~_+bg;G
zb?dg^RAG@+ZrH#>H%Ve)?@4?@htsc9J@D{_+vJu^^)4oB;CNy;{J)v?i>s63q_h2V
z1eQ07p3*HRke@(EbDhGL^`UHo{-tzPV{p6QA!3A{iZFf+$z9t4B6U=CI<wzBhnx#~
zl&S@Cu|S8rG`RJrfTTOXz|Gw??`Oty+RPVmJ>8u$z@d?-?K3sQj6s6GueDrJ%(p3|
z^C%N*hLXD2d0pOmK)8@!q+Xo-u(X0nrdIvYe3|ZfG%F?7K*}Tpv~WI-WcVC0pxozA
zwZzAIIK4q?2M?#se_3fmeVh1_Bs3+#N<u2WQ6u*GSIk&beY=?vN_QCg9c}tsE2HQY
z8Tx?GAJrTdQN;(RMk-^B_vbrQ71C`h0(`O<WGkxLZ0$E()28e%`uO>Jm1T^$HRr~b
zuTnox7aWMq>G6Wz*QO1Y=TW!_sFfS6M&Db?gXmY1;d>5{i>@hQ+{HKszJ;Ko1evd|
zWsrT`9~JC8Rr`I3+5B<W?#4xafsbu7W{nN*{vHxWRp*-(=K<ovR%O!Q@JCtH?%j%p
z7kJUT<odyU)gYroxKNOMF{h$4^GX|c|MFV#^C5ytDNTyWe+*CsYZY1`l`y^ayA3i7
z<sI08Xc6%-;kj!EvEbyQ5nUuKd@K~A`Bt)bgkYUeZnihnoSallRf7md1-=Q39(OLl
z-}-~XlG7sDTh1Gf>G2VF6DA%ntxD@B_K5+X!;&PRTHwI)@*2pK=)nvY3E2>QB@o&F
zVghGsD_OC+jCn&ExF9e59lMhMt85n~Qo=81uXE3tdgC7@ZcCbJeaC0bU@QKUKz-pc
zBrF9|IQeI|2!1$!uw+bz*L$OQn_U_s99e<`@{)G5437_vnC8%FEw%lNSaE>I&f$k?
z8TbO~`Q!EGEthwJxmBe70UnOyD}O{Nc=ODyK--t|0@s?$>9eEr6&u~GnQxUe*)l)c
zwg_3~EA+qtl~ETB#n1sWCDl>L6&1m%I`X|_2^d+onFb}xIrg5Lg@n|IJrC?n@1?Ay
zvn7N@!5f!KCi5O<*>xTs%`hgu9$4=A*lD9ymL9h1{7O-mq34a6Y#L!uTNDhcV&ESO
zz=|V6rpn`+Q_x2xM_;bxOD6m{ADB5EnKyv$jR{6-6+!w#RyTvaKsXTdi4bjw?8~Lo
zrTnsc;)y$aZL32%O!uwDY>?PK7KGr)s*6l<JDF!-wNO3fa{d=YSQ9jI$lf16eq2;F
zRA~IhD^h}@XDkvG6}=PQ7m)Z8O{CmpLfmp};5;o+<MZsQ?)viJKwb1(V{thC<LJjM
z@0_xN&eyxNI_o(Z60Z|hfNJ|$VpwS)=mE%GcGkT%#gwE)n!lQDo8Cguo}e2%achK%
zXq_M*lW;EAeKUxvmv;7v>gtnT$jumJOPo)u(5*%Yz2ieCSmpOyBd^UC<u+cUT-$-6
znLMkkFdJ~M)v~38LJ2K8-{Bky9O^M<q%>oJWr8S=NZV%H*|cg^H(dMna|)};OAw~}
zZ0mlZ*i--8wg#NU>(tyRv{B&mkr7{s`0=<cs(#TYbmFs*ufIcw`H@hIs<joC+!Uvv
zkib35s9ogc5Y8dTmpzV;FgQy{!b@bwXy&vw2Vc-<|LQtReSh`{v%Wu#{2eQ=!E%|U
zwP6<X@^?Ac@k3czX~V~%&4f?+wEli6t3j@QVTsyRp(RTGUJKyvAf)mfMQda=E98r`
ze94X_e)KWxt~F#GKb_B}nL*U`2zs+Z;=BjiK@K3**&|tK{Ws-M>{;ZmeXf@B;Nhq&
z>X`Chk>~27<bOXcbUOOr&~+yrSHEn5Pk-ldcZ(Kb!fh@DZHTCieBkTsK%D2XYbF$<
z->iK{mG+_?ks9=#LS5Lf=$JP|kXGh=G4C#Lmk28m0q2Iveu9z5#Ob0)L3nycv|K3m
zm#TS4PJj%>0lEPPP?B{~YAY7x?t6ZmdTa)#h0)Ce@n#P!ZO#e(pt<IR&*d)aoQRLc
zp7=USf_<>M)>l1#Tb$pcpN?+`_Lv#`8zxB>q!~9;S|BH<9-C{JECuzGV|uQKDyk(M
z7zs1KIK6G9!*8a2A4``-aB>TjhC}fq5fcnZQfp9@fIR-r`>SB@ud7Q?0y-h_Ci4gT
zYTxUef{`BUESA|hCf^^C3EMK{=UZh=Gk}~T0A+wd+g|7+{$Gj?H&EhsWOABO(_BMV
zfE&)a_LX-TVLP#C)JC(C6UPzW-zGJ7_s+mjfkn!59FL0U2rHXSp%;!e<*vy|IA+-x
ztbT7^pL81AhPpbGD_~SAig`=`A~m?<YJ?#!De3Eb8Y?t&2kh2%6v8^MWgK0?S99}W
zKzBsPX+4WR{|ZQKLz3nJ73YxO`>TajvEvyarzZMc(%!^d7&F^{>KZ8W8?`&UqBQ-+
zpaWd|&42U=xy&IOXA!rD02<OkU!Gg*2EN-@sK(JSqK)$$0wx~>Pc*CP*+Yz-_Zf06
z?`6|>1p_&nz0Z^pWz$p(ab<yh;!og+3ukcQm%gFTO&&h(+D`EHhmJ%&YysO!M)5Bv
zgOXO8of1vWsko}L!idOy9#dZpA(EGftLRg@zTXS2sg@77kOtPsLO_i@gU!28jf#p6
z*ClcFRDT8M2L`ejTYZ8Tf(*+WB)*h8>7swoZT_po6Wq)8Ja<Jo@>(HS_gKf)#s`-$
zABy|zGQls^_y-W&?W+KdEikK5Kg5D$v5PY8SSWX&D17N=?@t10r>LP8vzB?(U^Qd!
zPLj%d?q_LjyOX&Nl}op;)fxUZM$Z}c#Hg5$m9S+<fAQ20G|H$9wv}ErDs6aKTursG
z;39SEDGGc5B@z3fN?I&1GRwoqS@jX;EXOct0G&Wg>1k&K=jtsdXv<~gQ+|`$2@O{K
zEvY`$<eRP5i$<4esEl-vH@q$+_#Nr|+ytFN-TE1FM5C`@gj<WN##PKM98!=F4)!B<
zV6boef=otX(&GE~Hz2!AsJb|k&6*sLKv+LQhkX$MyrAoks{B>#_p*3tYIFZ?JoY{x
zT^u3S9wgYRPMt|AnVog3;J11)Tkr0#tYZ%#vOxB3KWQ*LEMm2wUJ_|Rx&*PhRe6Wl
zmLIA$J)wTn=+!#5Zei9YbXpI~38>}*rqW=+L3^R{&+Rd^UPI=xc+fSt^Ku*NE72YE
z=nZ8Ci@_w#W3O#mIR>4kZ?}HO+R|aN=o;All95a!BPu2P>G<L{-z^*=y!Nw+q5t!R
z9c&)!Gu|C}nFbnng>j=Z-JXsH5>-GxB8o&S!3Ytw#F(17kWd(;Qdgarq+|fN%duq_
z!_g6WGvwL%d3<~qCi))3Mq{PUiqh-;3>zex;}3|bY+Ryay$}irOPvgl%wXRS7togX
zeWu=8a^U8@f+SOH0-9VeH#U)XRc1jI65EC6HE?D|8(Hzcep6IQIxoT<lYwJp@Gds$
z^ta$_**Uv~f7(I^WwJhc2y+-Vf0rK&K1;8l`2e-=UdG*mah#?>L2%X*WX1N<?qdH}
zUL^|k*)qd9vrdJtvqp@s7pk?7w<~n1c~F<ETO8MLE-##&1$B=JVH?xFoWeOEUlelg
ziEBfLzU0vc^gPs0Y&|?9=#I;H96w}i3mc73yrl5MAw0a&2_2@Fc97oiMmE`szlzXu
zH>{om=Hc__*z_N_UxKyWT-AO*C33A6i@6CerH)W`uUY9=0I?2%%z_8E*`@o?J=l0I
zZkkpNP5KFss8dplyMDL|BN)v{o<$rdBu*L16XGmv9;SlR1&4x{uoi{Qf%6N#3!Yr@
zAEF@CDwK+#{7<GC&59@DX|$I2eodgHMu;&h<h=xrEX_q@l%E~eQDyCY<ERHXe**It
zDU$sl$P?@b-%o$ZE1|}fWke3u1vl=KCXi`?teTMvAi_L0YMhQnY_xKp)<!62KuLn}
znJ6%)B)5m4LnJ#)C!bR5zB|llHKyT<Hz~eY%6+j94<C|Prfd`K30K2_^JI|z%O*@C
zwc~URvXPC-IBFO0$YSau<B<!Y<y@46n3{Svqg|4H;$UhJ6l11Z(|6ypu$C>!CJEim
zCV5u=`*j73h}(KO8z+fm9jzKjYIr02T9(9$6Mp!!;597!0Ka)t;bhlJ%AfRYX3Tpa
zTCPJOc{>usGP}2SO?}k^G)jxj3^RWg0E1?lkWHZ-FA*D>Z>v;LQ-5n0wWYE}S!cdD
z^~z)s;;b0AAZrFScEwrSkPU?drsGVB&;myTV0QoROX|-5o%4yx?Xawz!-X$^v1(>`
zx?(?wt1s~pc1b-Ym`d0?-y{fXOwi|A{$AST4h>bDW$ImdXLGBNYShIyo;VC4Q=_UX
zGCnqzkb<YRTII{}>64txbh$3~<rgxD-)B~$J|B){hi}rRWyk$xm6b!gx}Di^4ZW)c
zuE*G^dHdLG8IqTE6oc8|h1$`7{pi7D^iq6l)?`IxaHSb#ZK9o)8TLnA@A^w=-~I&U
zv0fxf;vZg3URM4nRqpscWZ7R;MdHZ`fjn6>$tB}dmg`M0uf!1C-G4u)ET1rXw6!L!
z73rzc(*48-XOlRT(kJ*=_l#sp#J8ikyv)0aAth4ac(<@RMtfbg>aYJcEDHF8#Rd|a
ze5LUT`*%BLKa;2ugm@-P3a`vly1`#@q4wi$_LaFb>o6Oa`b`&cto%<hq|GSG3~s_M
z(W}v?3Acl0M5{+<UCZm#RXj=`d@;*FdrBmPB(QpQu^)`E@a-d#W}LM=4>1P1@P#SB
zp|yndOXa;dOdY^zd}rDjxPN?s0v=B);xa;`lH@eCk`xuD%Z7{hpG9G)flo!mj;{d~
z&gm#m!B0^G+XNbWnl{g8_niUaS|CsHw7*DliQ3;abOX3*$j}?ozRqTQrN@LEvLQem
zr*&DT&?)_5<&;0)-l*UrJZ_#x<FqL{O-e_#Zw_M7Pl#kbSfb6-2$vsH6Pq;kJ5iQJ
zX0t?qCC}Mn#Kqxel3%=pQT=wS?j#1dX)$=tCmMdYWH_|%Z~qW@lst-xq*_nw&*{vU
zL~KvjLm<&hY{jyW&i1h4U$A+F3-yxj?F13L33wTw3t9^bse1G)o>11FA4xH0TG#yU
z7aMvcdXEGln$JN8Ah9%(=tHDVv8hFeLvRfHPPsuXM3VS+BolRAjyKuWzJbbg^<hJ7
z5G|el;3hAP&PhCk4|;o&&ad4KuBN`o7>;4L?>gmi@h4?6)RNu2p_()ONz|Xlr}KMT
zr7VVr=wCOK+@Rlj(9E-23Cw3^7HJ;!dbC1WXXvWfc6X&&R}W7kMLdQmKn1G#4LVQ@
zmz!$*v0!btSNfu{+Qz+9<RLly?^VOOVf*JO4;%wpbPP0~K+cjNWLToyleoL;^$uK7
z!v%3nCvup%h5-+(6>?~m9X}<+8ifb=p!JH+E86HnsaG^<b#n*`C;gn$JfxAX%v|$L
z-~FLj-q6A#O2I?N;Pw$Bdld~hkPCh3y5Pw|I{H}owRwRTBJ9-ctQrCu8m=TTx<}eF
z2QoG`w#K9%v3`;>|HW%NihDMTz7K673&ZpNj1f3YG%^BUEj4p<bCLWJ2;NQkOV+LJ
zTZj}H5eZrtXckyy%Sj0lsupfmsSmjz7233BPEi^%AH>{SR8PC|2qruz+)5vyR>5!D
zVO!psLR%Qc9?BT>Q2^WA6^b4EihKuAUJHCwU!nSqEPv(o<HrhGF^ub=h0OaCr&)iH
ze*Tj<5*41`G3j}Ba5q(1dv-`t0PVqET30=frDogJu99PtgWk?-wa{CWe<!?DU(;68
z1j3yB#%m}9?)|Nur5ooNWHL{niMVodpf}#?H@Y3a=1&Tl?_QNAXKK`=lR8=vx|COE
z>8*T2RPfEx2X;bOkbTpWL!!?Zc(FuUNG+Y!BL|~g(Qt5FDsr2;*LS0)ssU(-9qt-_
zMktG9O>V4GiC^s9Yn{(lmvT#5;s!*_2mHA$5qC4lG~4((TNBZLrZ9zeZQoLM<K-8L
z^CC+gUldMlaKk`1{N*uhkH)yz>HI25i~+aDm5*f4^2wxF7e#b|$L6JGE#ESz3ybq`
z1v#hZiub{oaJ3OCX2F>~cvEER;e_WW($5@K!OADgNgK-LpKy$5H4Ph0XgXUi3q+<T
zi-o0jk>LX`!(2XRsig<!xbVLQcL`RE)bnpENXo*(s)IN8vA^WOmWA?@Q|&58^!hdI
z!%7gj=D)?ub`yy$_7j<g;C;@KrxXmks{WYd`YFVu!lPWo<1Nc4h2c(0^``!q7KRxr
zc<I?_I#J-oc!K=lFE<*ou|Ez{0pI2eG<A8Sp?`WFSO<pbAg<J2^tcKoi{ZWy-yF}c
z-k~dm{TEK|87|VdF|I+Fm!jm+W~PXb%mP&L`$WGAs*um2-yHqzX0DB^DA@aTk^0mZ
z6^O1o7C9>LpVu_pcc=&hX;<o+A=1ufV<?YmN)A@Dt{q4&%7L>2DR_9xYnlbj!`)sH
zNW=!@-V3rv%bnPBCoONV<xadkh*LrqM*KF<I0<pwy0D(IfdThxFL#LaM$AY8(e<c`
zad|1H7km~*UHRs$u%~=kgPco7_vza!Jeq$7E#ROH(4QU<)%dhJecLhE=<Mg6Kji-#
zuILB|yv>!(^9(hs{N8=l|II|yEM(AITDe9Yfes>wSmh_gB<|cX@t3AeXRc0aU2*Fe
zm}9Mw_iT>&`Q{y8wwOgh8fC>~x+$smx(Q297T?mh+)>IUz_`*0`h4Z3#m6Mp<AtPr
zbMrJ)vVZiJKJpfr=t@;qU~oUdo<cIJb)YaX%jSG;jr3KqJhdiW*gQGwjXy}_SFOay
zd?8r=7I29%8MA@TmxTn<tPss|`GPVIT8L)5>t(zpwpZ?0ehYuDu0X9!h&<Z;@i+P{
zW>ZoaWp{~G=7Y|WW9>Lo`5%b|U-m{S{5mk2Bb#VHYcUV|%H}ZA{`m6|E#djSQC8@6
z(u5jn{2k&F|LpTJaY0t`^<qxWq3~dQl_J!ehYZ`+T~gnHGod;R^mRwOR)v>)$w^Rd
z7*9o8DR6iO75)lH_-NLZfi->!v$|?Bz~t+oi%DYO^rZTOCY~BjcU_g&%|kkaEf#YF
z@bK=zn0vO{I{D2~`#H-nPHcOl@~}O{PKG3PhYcg$E<7QqMG;Jj8`eA%=6DTI`;J;g
z_ucis(f8<_a%SVnh9qF+mCKJvqXJ~2A-#2dHjG<g)=d)?MEd2j(&LayKM5GKZGbe_
zVbrGB4f|-_o$V8*)ZIUn1yy#JXwmzND5DT?#py%#NtpCwC>if&Rnuj6Ia*V|Kj;P~
zn6OuUbpz!#{@FT4AX=grUvAou7qAiodL(#7k&19j7eKX<Ko6oX_tz=WDlLj)Fy;MP
zBhd5}Yavi)<bLc1+9mdVoKVO$q5S~AAP_lGqZ5UNjx-oa9aBe1zPPfEkD=L>xr@MH
zYah#vwF&dN3;Q>d3-<nZ8C2#L>Zkzr0SKXV19T;e-tH}?Ps;QT8)3yl>lk*;2cRYH
zZ8Vsr;2Hvy$c|9XiKCQuGmJon3>^C&uwTPRe{1?8QilM6DHSG%%{|GDJ+H?FEz=WZ
zr3T-|kv-ot?}{l?X0y^ubi0s-Tty9P<k`w_Y?P@WTHL>Jbznyy-`d71(5<?6p8X&r
zG}-X=T%0n#(c3JO@zlJM3yZ(vBq7WO702O3S7ls$8$#7rw$4JCn4ViPE~BS7+A_|q
zWxV?6A&rUxo{x48ijT0hw%-pkWs)nl;0uYXxDFp<Sy8u*b*<$p0_j+#q{Pcw1*-1U
zLZ|W3;PLu*#l>ThlA879iK<U^wBXcZ!WZxbU~c7<?)B~AY0zw|rgXk)FzwCv#gvXJ
zm>}a)=IqoDsoF&U$<Dle<V&CW4=D9PNNZISF+9lQ{`zt+Rkp{>hMsu5y3wIvl?mCK
zn6lRa?N{dU@;AyBxdoE%YU~HCw8Ta3jpj2V^gD;>y7Ek0U-FX_V&Ef@Pj;i6XjhAp
z@YLtk`K-o<_(U|ezmP@{5KKAJpGDPN>A>Cgf7b4Ac(3^8=aRXc2MFW~1TY79t01h-
z&`fo8WxlnBaZ8`J+(w0+dgIi+yjR^BHlbp5xfy@BYAo2w{No=fALCm4XMP*r^0QuE
z+p6Z?&to#d95F1WiZ5pRAVjkb5m<05smbt2+%wC*eFd!qe5ehFgM;=LDRhOZ_f)6Z
z2cn38NYo5_ML=K_5fGqs;ELsLS)>`T&R5w7r``v<{t$W;!wxlpZ7M)*Fo)!w@sAgX
z3QT(Bxq+A<01YYgLeflSRoXF5X5i-1*oHO;hr2M1o%14nz`XuTOtlt!oX~te1nvto
z9`^IAGBd`=47ZGgp;0o7220+tglI9uzk2#5W9GMjVf>!BP~!_FKWDK$vY+ei5keO+
zxt&A>(&29MW6EwAA2HhQDi=gU{^lc_`m#s(N{u^B)!e{NtW32Zpq<S!0#^Rg4JH!X
z8F;w|N%I})M`7_|Av;wGm-ythPgX>UQRA93TEi`l%9z9X!~nvLvjdbpq-PDhC3-y#
z;lO=U#zs1<y2wgwRnN{56Ns!ah%%NGw5tu)x^A62C%m%3UWRn5=&<Ar2hNL-)M9Xu
zC|I_RKnJo%>r?RX=^(m4JWmRu@%2({)CXcN{mkc&8VCjSN<<Y15-gc>a4H`}n5CJl
z4KZUao{L{HjUhWQ0;Epb3?LgmC~Z{xS_Sb-&?cs92GIOnMiSL6vv&^Lc>t~0i?aVh
z5m^ux`~1`*Mchj!A@?^9Zuu`<z;gk)(#FE*w%T$!3yc@V#d=X&dd(&t)Sr-1wjJ;G
zHYY~Y*H07ADbUbNcq}m^YcnAF5AgE`1CrrnF1jrz-Zfz!mfvE&CpVlf^CukwC#!Q<
zjQpk}N-X&epRK)Fc7(g!QaJ((rMQccYLco~VKN(MG-^AX@Q>5>%WPB4=byf=R5Ua^
zU(vlP&Z(cbj3EGLHC@D{@`dt5ay}K=U)GB(9H7gU)$cM;8Cy_|E^YIXV~aEd3wLOV
zRcBUX=ZsbSkgqnJw!0!IhI3mLu3it>yyd-&!?%xal+YfcfnKUq=bxpxrmCNPF{ReA
zN_CqoF$VP-RhnX#X-%}$ZJFS{6L)`ITML8#`SYd~!uXBY=-oQc-+!Jbx<Z8}A2utz
zUNJY;U^8saKCvfdKI*){(qQcRU3zgl(yXi1W|vWN5LUBCsFroF>k^52@6kL$`7v|Z
zlZARdoA2iMNMsFKhmxd8aj0Q4@ZKsgoHT^F7F~C1G?3fCxHAG8P%XmqYVmU;$J&r}
z;rMIULcqc9-((JmVE1+nb6kcwNzvr+5NtL@HoYI+{`yn-k)ntTJ=_BW8Sf5Z4(fyV
zDN5|TuoxS@*&|uhpQFZg+onAa4bW*X&5_k-)+ZF4`C}AGq^$bSxj%h4yl@{OIs^K|
zYhgRocR}|7%EDVv2_EpVQRJMGlq?elb;>NahI6%<GV=YF8|9l(Yy^S(_fo2J+qZL9
zM<=f{5OoImDb+6Qmw&bJgN$5#;f+4y!G{zKk}!iy-N>Re<bt!>T#Ydww@Q*Qf&@zT
z8&H$2xEm7@WO#qHO<Fd>&cymSdN^shu9RSXEl8GOpndY~s6d&h_fJNf`CY7xCtT;=
z5j<;%hVrebAW_$MIn<M}nyPlgH}#z(td5lp)byi%n*vc|YbATtOLRAWLUUeIK|US2
zQX-<tq4Vt5#ur@j-QQ6Pxuf-PGdrH2XU(VhCOBhI!h4nlgaju2dG)Ov+6xVR%wszc
zp_rV~eZ$q*&-ItbHrG5ZSMgFIce`I-FFTg@q;;&q!wkVjBtH*Mi7JWhSx~J;GVw`(
zazj)OZf~^$-)ysEQyzPd?OT02c6%<XJv~T;8)+f?j0Q;^>%z(Mu0gp}_$5GBym+uC
z1y|yUlJC~2t<EQ2M7CI9GuaMWM-?s|!n9%h0o7Wcd<N}StJ9F}Q@I=AuAp0lvq5MJ
zK1ER13fnl2@HC&P@>iQqKY{~i(^~WPax%Osr4mFo6Tz`R16}la9I-m%vCy!j&dzSR
z#B#IedaHW#A`BgHbjk+JMaA@_59@r1Dxq*I(ObRT_1!#Qt&@2^Bklx$L1DlC?TL(@
z;@W*QGz(j94M*>`?gF1p8uU^;t3@i>isg&nXhG;0_`mkfGANF&+xN%-gImzS-6aGI
z?t}ylu9M&r7=kmn2MZ1f9y~Y%x8N>=I}GmbdU@`9&Z+yJ^X-1Uw`*5_*iviv+G|&J
z_3Him%Lm57)1Y{_EBdPXta_03d5kZ<n7Pz_vSpJq+f*^girhH}L<-X2jF+r)BHz)a
z2iit>xnTbTbX8xjeT23Y(Ex>KNc;!?Dm;*v)2zGo)!g?BphG)j#MpW16hTBQI@=)*
zcQs7y$O4I^5=>ln?^CRVX-Zq(oU2Ad|CLmG%O!N2MiiC4?%<tXvxuJc!H)|cz6^!l
zckH>yBahzD7rMx>xKjt0bb74fiVSA=$TzVVg(;o9Q?kd~o`5Hsu~y`*<67g(JYK+#
z&<53m^{~3f`C9(j;{ZL*X!R;xO98K%3vUIbltr1>_>%`o6maDy9!>U15$YX@hxjWw
zsHEjppcMteI-oJGk_eWxMY><~Ig`_h`ww?+`S;k8vrjx4tCOgHyJzTu=1zn==Q?zk
z_QZP2)YALw;I)jvxLwk_BJ&O5bYytls3$<gCio8AHLof-KCQb^9uS>&)%=NU=mqf0
z2m$%2EW!#hO3<+BCJGld9rxzT#{^2kFw(p-icd+;{Rz(0;A&rMx9wp&>%1>3C0(e5
z(qbAt34%^)E%A7hotNKzQr_TGl<F}odd1<Lg|{&tT!}|uX|I~VsVLlY8;Bu2B8JN|
zOpN%(i)}G_PJYtqy%uac%=w-*NDL#uR_J+7vOh+g*w8P9&w>5Zmi{VeojgcWu)3D9
z(D64Y=x;L4C=JS%m!jbb?h9O5YDjLVcMm^HbxUHiIR~Nlj}qY(b9#(C|HCF5OEf(*
zN0JMK^GHoXcj?^Y3tb*}Nu#N_F89Lf=MSpcFPTEKdCo(ISK*pSC{yS93IouT-lK=M
z!`~brj8Te*7GG<pp$LNmZco44G%e1@99}gc)Soq0>=T*7(HCws_!)|L4D>_Plw$3Q
znDI^&`>oKm8}t`JZ!j;r)u(%j$Ol+NQ4sP*Jn7+IoEw4syi+-k)J#b`aTGq_rV0I6
z&z9OE<t+wkAei9{Wu@^q=GR}*vWBtAS)_o`nN_N>5%=8Hjs{ORf2w1|rO)db2;wx@
z=Fy1XsdavQ*Th|o<c%5VPlSQ0X(2x~h)Z13L4ba?4OjX<9kL^7c_OqGje%yhfo&!Y
z+GrK1`exq|SHw8WE~OuH7gCGO=X=)2*_mEVFLZuAV%|@LPN|NeIt2_%r_{F}mnYk{
zF44ha5x-(D)^K&-4J6^&afhyYtm7`2wU;q8v1`dH`zEfYo0pHy7lb$qF)F0D#T?a@
z`BCE2nAH{$vJ9F!uCUldJ({h4Lgx4mD6<R?veg09j83+uB9scxIJ7trT5(zqk=xg4
z?#18!a``o3TbzKi`cNDDwVxz)<7mazj}|>n0K#WMcjW>uYeY6Np*ej7=Kin-`un_%
ztN$o;c(SK-Yjr9$=T15=jZjLK95~lV;-P<>T17Yz#L+FwIhz>iQVkxkn|E^pcav3n
zL@mE$Oa-uV*P$lJ89-0&QPLk5*t!YAnEGr$MRrery#RBXJF>Cw6gTMi(tUQ^UoS|k
z?i{)mepqKkL~3sbkDWcDumU2ri&e4U&Qw7^84qOzi~(D}sY$tbjLgQbL|Lmy|JWh}
zzz)C;e|QMwXC?OLmsq|Ue+AR12)S$jWqHZ0+`uff+9K*dS-unGipl}JrodNfS|c{>
zQBIy?s#p<m5;Rzj{m7sAt>W?LM~Z%>cE)F^LJ3tASvV@NA{DGI7JUgWR*@LpHHzfn
zDQ{rcM-AgUb9n@~Z$(gV|JcU+AR7N9Vvoh;PT<AMm69ehgw?eYsEj_kBLkZ4a_~Cn
z#Gv+~XyE{Yx66WCZDZh7L9F`swQwW?TWa?)H7h2nl!?R&h~SRIf&%D$OtK5>^c>f!
zz6R(|86i#E=ffkaT*ZjL4=2P4zg%aGt2Jm1-V~pOLze_qn~yRJY+A+L+GNFQG+PbG
z3KC+ZAdFNOPj62fq0y7R7OZDx%>8+k*%f{<D)0o1!L5n|fy{ct06Q48=p@}g!K_Vk
z_Q?uHdk>skM99`bbc~IsZS|MBI`>pC&0@hin6K0$ASBEs=^yR+WwS7{O~L2-+HE~u
z#J+^jyg#GhRBR2zkp3}%DM(#<a1?8ErOHC+uYxqmC!}3VQ()6_t=lv=MzD}C`1P3*
zedE$mvKIfTEdYfof#+#fz+-r)SCfs5-|)$P8O78=EaOb}%ylk^i$e-))}n~OPF+yT
zo_DMkM|`i3G}R#fOUlb9ecqxk>v!~$z>>&tDb@{B@e__|BOf7Iu6Bl7?CH%HEx5+#
zQi*)PZ$U63<A)pb(1&V9d}-^9KcQ;!#=mA3Y&Q|>ZI&buj`VL{Qe0aNDQW1c*xzGa
zLMP0wre$4*GO;23%0Y5YT_Uzbft{}>_`l#SW@3Q{0SnU~G;u_4I*n{FOS=(JQ?v4B
zC+n9m1nbuc?-fO#I-c8F_z>fNHD29Vr=+{k&^emn!+`ce92kJjz<Q=FM)IgRW3Qf_
z2-rpucmJT}TAWoRZ|1wnLRdZHX+*PZ#(T|I5JWu`sn}Q}fGlFD9vG~>_4r)(+tbFP
zF`LXHt6<-^b+>45@3+DA)9?F5=#kj9VWgqPS6G;h*9FId_cmZV$%R%vA(gEBsKooZ
z2{Ga~w+#KUJ;y;SI%Z8<<L9PFA}-fgRp9dLL!NpEVatkiFIil-W<2?)_d?&l4hjbz
z^pHqY9NL*lhroqZ8!p_hZv(665M(eheJL2>_9ky^(h_|9sCuQ~?T*LwPZ5$q=m-8r
zDOEx;xC4RwtXfJ>yv8!$?nSS7$@TTd#H4=8_yh*Vj9X{GCyqZixAzmCz9lRt%y6YP
zn8{c^t|jh4nJ6;erYsnA=x0=$&*V*w#3>Rd<yDj#fQ7oxs_YaPl3LW%bCGU#D$<${
zs*pNYTnPL%=t8+JvP2{pEJB9PJMR2V4Pm9~v^NP`eV?&x?I93VZq~urjdfQWm!2N;
zod;v^`ncV;Yl#~5OqB^&QjD)(;8*J|X8QZ@@ou~W$}QK$qqvnsVZo~-!74eT=yfLK
z;PP9SAh*en{q(#o?dXG19uWH_%QD}A5q-B3Sd^|0K$Vb9)>TCV6}6E7!<p(WduUe9
z#iW$GKx;){%-~u{@XRm?mA*xJ2^X$7h7IYpj{`?o0JGcaQjFkV_X2-$^L_z0&f+z0
z+I%U>=@JV{XL+^ccA8dH${!TUoNW$q`#ae7K4^;ttlTX+djo_NE5p0=c&?G2n`Lzz
z!5r8pR!!7^+0dyiqP@lr(;$MKFwZth1yy{dBmCv7o9FY9UDwyOJEHRqq<1c~weP{s
z%c~xx6^?{MhrMO-q*z0VD<SQ7AM5XYCY*>y<e8_$%|v>b?{0p7rY_i950v!N%4DDe
z;OygcvbB+TKBTh2xLOz3jcl>YwCu7ft`mvOUN;==@?SOFFV|+*aXFtmG@pM?qI5Pt
zM@URIL1R)1rH`9b9x;k!uD1o1rpeO=S!>aSGbrFw8&#m3cU;w*F2G3FT6T{bk;;s9
zGSxTep3i=E!s!gdl<qrtmBS0CGjS&cQ``tyWNS%hc}@**^u*CfumI*OKpX|$uX!u<
zk1SZH+@HTCSB&vU5SG;v9vSa#6{>iH!~$CbhAiOT{a5pT?F-rlRX~PWOkD5-h@82c
zUT9)u-m~JS&jpA#!wsIT@;}>*$Enr_e0qyt_V<;zCHbA@r`#F@Q6$#OxvK1KGdD8w
zMk~?xvXX!`0MY`d57<ORYCUY5U;2BM<0~Na=KAjry3cHrcDt1~#gVn|$p{3S&r3*z
zx;!9%rYv8b+l@})W4a`_LwW#AJ2D`#EhIK1G`98`dNrz8>&PcUmdnuGmEuq#RHymM
zi&xZg_S6-9(Pv#6lkE-lQwiE~WwzjG9p+Q>khYy%FH_liVIkkvT6i(c<*X+1Jzg%^
zDsZ{CuGNPMFtc==_3?yl=swchA-_dUW3R|&Qhi%;B_rA$;ZY5ZqpQ#&(IiB~(*Ezm
zsJwwoC+R3#6!TsKZRoNm>QBss?HMN)WU)Y`>qVon#GxjqhCIY*EE8OZ1UV4TFY>s#
z6D47!N^<eg2T_v%9GNtoLulaz29m5l`hKw)N5F<Y?<wwB`t5fJa>m^Vb5HE_U_r?R
zSNrz$=dPrj(Lo+%3%12n<WDrkzTk_C?Dsr$n;hU{Ld%rT$)oHs8~omokXpL2Gz8x*
zWZ2N%>iSl1d>dw~!>mT)A=|0SupBhu7<2S&`Pgvpi;fqX*xruUz6V>g_{iU^fohe}
z*{ypx@dG<)hP&ee!eji0s{4+xNB$6xPY1421rM<jA6)aJ3s@0%^WS*$P$rdTSh;Iz
z6uZ}~WU!6W9Bg`yn_ju00s}<PF4w_*YkWhPKZ6>CDD<#57$fyZWK~b+HCWJASW0J&
zwgXOtiV2C<EJLpy?JGC4{RrAG@8>lVjkZS7-lB3T<Bra6U~z5BqYn2O@A=HM92rJ9
z$Vp<AWh?dHwHFHzIweq<F9({op6Vb8&S`gqFoIZP?)(C&txrFZ1|+aP#Ub-sHS<6;
zb?Y|<BRBKx)jdY2FJnBV;(P|c)I-QOyeFvUXxr_zQdIRjx^7cC&&`Weonb5s#CD3C
zbmewgU1c6q{Nb&kex!C;jw6s|Tw^{i5x#XObFUu2DN38}ZGkL6mWJ2gW;Wh_^7U!&
z@b_s`tJk<~m&R6#yh`S~m=GCOd2ZP44ptY-Ht%%@(YZ|SHmDS2FEjd-XH1?m2Jfcw
zQG(T|fp<9ee1*qBYn1OVGLJgblIIT@9GsK3FDO!XhPryivFTCYM|2r^IZorq3KuA#
z5)BS%8E<bAu8<!ETz~kxvv^UgFdLXMN(B^C7Me##Ii{4>dX1TrbYRs4Iv0z8sS9j|
z6E0bnFwfJaAxUSmpFkpYzfO+3lt>kb`-7DxyD8p@l_&^ob$Hx8_o|jv#lwk35nx+w
zhcnb40{NFxLA-AW;wYvK%-SVAC{PrZ1v{X@_KjsYGPkWkl4=wUMo)v4JuEx%r=P`B
zjA_c8V#Q*zah9z6NX!S?aGhYs&zSV>X`_viA9=vw<8rl?>Q1NbX|@ExUas@)gR=}b
z9}kv*51Wly+8>hNAF289dk1<WJGtsT4&$PrJAYJCW9A?4IAQz)q8Qf(Tq*gj^ml>{
z?2Bjjt(B>h#MckMd-h^_{-MgrJa7iJAlZLbl`2>Y>U#QSI_8kj$jPH*(xJG!psNCx
z^SYuC?@adaA{)sJKfJeC&(c{RUvuk@mPSp#Kaj6pcNEX_%CA%2^_@7T&zo@32*o?G
z9maWQ@GYO-pDHv*ZjCIP3tGq{Y||I3)L76O3Ay8@=K&zgf9RRdG=SgnW4s@#K)c7N
zhiiaAH3TmT#?g${uHc3rC}B5)wyaK%!f9|!f)SmwOT-C_v+^74yn@O|Y!JGaH~dCi
zfZ$w<B)h}>m}hB-`0pmW_*cxjKjlxGV(WL#&ys&SBUZnHhWg=#X<GrHaS6tgZ5h)D
zby6b~+(Qx5TUY4b;TKo@EwRK;&T(Sn@zJLPnxX1*LIFvhSk$6{=4f2xuu&zSBb0Me
z>|~+FQ134A`&KFHk@qo43#bkcgf~~2eZ5nJ;RpD#=oUV@#_~mG+(J1x6JX1nSSK}R
z>V<{c%3f;D_;cQlQ@Q|lBR`KOiY3ZGtKpHF=);Emrx1wtA8sVNu{FVZ9h!X~z)V#6
z52Dd)mDFz$!sHMn&leHq)XLUgSr-1b-`MgZ$sbO(erad7U%@hYRWWi9z0{}ahLuQT
zv07h_MtO|sys`UB>4-w^EO<sk4k2}9Ney;tsq255i0x`vuT&?cIt^aF=^a;1OJ!4-
zCx`QnKW{r#n(0=G^+byUTX>(Ih{+@I$VH(9x^E<8vVN(jw0UCF4V}q(K#nZ#P24k5
zj)T{5)~L4+pig}5_;&piazj$yvPJ^F=08g1S2IbxWUlqP*uW<_nCjf#-W%|v?qUa-
zE+a1Z8o<-BJBba7??QAwV*cqx;xno*bPF!rmB}7}Qi(PBh-hMXzu1&_MKp3~MoT;T
zi>vwRM~ywF&Yn6(;G|<TOR(oGS>ut>L>q41%q-``^n&s>mMg_=|7X&^6=}-3s<VxB
zQkL*F3AnqsH9)QY>B<Cu_Nb>Ct!d_*g?jV8kWgsgVI>~5{`!Dn)k_m&yZx(8-!}dX
z{FYs%DhJQ*#CxNdoozPr!IpC5<kKn>^mNPBdN&hD!Q;Poxs!6w<-E?|Jl{DH+4#lY
zgd2~dfV1RDd~0JRl$z*mzJTc<g407dS8xV}7oQIxkf)ql>8Q{oYu$n6Z4y=I{-@)#
z;T^zY<?KQM)#42ZtE@!oczTrA?K0JBf7O`6V@aI;sis#C-5e}oc=R)T4BLi*(af0#
z_wMH-cv<6Gi5<yGbSPA+f8aSBl?A1Fn_{F`ZCAO=ki<2v`fD?2AATvV_}tdqkT<1B
zH^_%9PhjN0tq|OQo9ZjQzOh#@{U;+cTq)h(hxk_NhtTyd9L1`uo@ys$!7?j+DrKUx
z2XQ-k{4f&rL=4z8nsE;04ObL2;|hjQjtG;Tzo9mj0a_=}wQ$q-jm_;G);7wMAcUW*
zt!yu9xP521fC0huYe@Bj#(d_9AljROz`=ukmeE_Fp=@291o+zzG_|sHeyAN~QiVs*
zt-Oc+K=+PEo9h`4Np@_e*nP*nEBj52X!7QUD19_R1^jhrkHC3Y4~l{`HQN4WO8n)<
zT4~w(BP5b-F`SV~+#m7IL-uR)=1V4Dy%UCev=S;@;w-}CyKFmOrBTN*0=)RGDo4IT
zHMKJA807?s(z0>>1`Lx-1wx{C*vAkX#ssH!mbQUp$mFp4zJWlT4hNAPte^g)^`n`F
zn;?rf7PlGLbp*{{p?}G{6sf=SQu>TI-OdM(NEwfk-($bosj6zh-J9DDUh?icrC%j`
zz*ixkUX$JVDIuLXZkorA#YkRdkY$3p#51!iS$3<}9?ic3j5HD^BxbVT0Xd#dW;u;W
z(NGJp-G5Fff0YxfGWv%{r6@VP!Y+ca{_psGciyh59I3xG{fHdkTI4GKR=cmJZtyQ&
zPQo0I;lBG*$B$_czWt!E!}O@a!2lVt3^P+y<2lb^2j^7q8;7^h7))tR^<h-zAg+;=
zttv}Fp}LAay-d-ksPzMa5BMH&=Mu43Mq#m#nTY*Tyi4ruL4mPi77|><P3PPECtMGb
z2I%VS@XOX39xahc|6xniG*%?Zj(6+8RDa>Kb8v5ICyTsj@H=V~f-1J>zn$G?s<SFK
za7nE@5CU^APA|Z57&%y<`$U!{`eC;)w9@Fi=eKLf%vcNQt$TJZ)~zhL`wH?0Yt3hC
zs#ak0a^=pKn#3=lO?z$PmT#~81%|~oy}Vp|PMb*j8Z+G+<9Z8wg(w4hY-q4=(#u+w
zp}kJiE3?i%kP);xROqtmPwTf*(Av+g6Swet0V9~5!zz9s-DEw37_f_nJ3y<50SVyq
zJb>DCl}!RWx#gV3cLzuqwvEfrfqdOUB2f1iV~~g+EKc@eRlEdV8CDBPwgh>E6sD?f
zkY}^|_6GFYyt=6BmDVbly@DK7@`~!4dw8*hujs<TS%I2I&L?2@(>yXxFYQUM(nu*r
zZmIcaA6BWS7Pl|Y)Lason4zg3hd@R%q^m_Mqg(R=k*|7DIE3gravA9G%#q$Faa69Y
zeRd{jZ~cKnP~rPpK5Ol>35A2}QH_PFVKiKD68ViiD=Dq_Mrx;F&>8n9a;a+6TsQfG
zhtV5UY`1j#z=~*oQ}!;D&9)1Lx;azE!sq-4X59}F)i-RSnnxWPwsN}jd7FI>4|gh!
z)te;i2R^dUHjjBU<<XmO$MZS3i?+$e5N&48#47I!bciSHxU9pE!9s8{i`B6=5lsY*
z(p`eIzY^V!e8x1CxOzj4zzUY<#!~$Y>h=ba>p1R1YZx%dWL<;9U%i{q`p-eR<5ZGu
zoOyU}=e25W=7wi<RcmnU{DQFOoRZf%uXCCLSJ%#dH)K={jPoJ+7JFORxm@5dWCDX@
zK+`=3T!6d#Wrn_9i*Nl+7<e&%Xon8Jj{}KpN$35hw!ccFq(cxjrTjiur-rfb`duFx
zL*#?_+KAk6)W;-T7_{lwLa#_Pb?{XexPId_?rLgb*uk-H`4KBabU5<k7DHVsr>9dp
z?O?q9;yd&|_Tnz%0e|{l<i;gxEh2C)ufT+g_LUR|X*)iYDyx7IK4rR5S|qp=gw<v@
z<mbkPile*OB4jjofo#d5^ED(_@HK__*0E}Lb52oOxzbGO2mDu?)*Sm2^SU?#eX$qB
zk+1U(*g}E1idpqH47Oc=^{|km$e3@wZEu^}XjcWa^Iv3UvuyOM?0@LpH9HgdwNM);
zj$E1VLf{>$@^>yWb*yT{Dp7G;<YdfirA9FAvcum{MT-uJ6(7u;vEO%plk7V2yqGf1
zpMIJv2KjM3uSH)NdN;=i8xMVJ(D+PC8}m+{3~~HPNi*L&ih`+eD@HWNwb|PJqDHIA
zKYM-;nG(-`2TyXnIO!uHpZaR0c8Y4I`O`F?%ME=un$C;-hi(*bz|fv~jiqEq*5GbB
zl{H|(TAdk>qtmQG=1}>=>Cn37%?E-VWP!xJJ?V+8*F|3GB^<BSMCOo1Vh*+dgGjP1
z+Ejk{n&|VtGd>M0OMe5(W+2cV9ChKD;(&~PT*d!o(L2@$xGV%{Z^C;W<FuTq-JapK
zYo)hg<TV(BcV0|q9LomLiem)$v(!kfv~C^h_fG2DLdm>9v#k8y>Nx+ORHN{$jkR2Q
zd{)y50uEg-j3W|w**ZP`c-*+3aaGxmX_Orz&b;SV|M@W*>hc8l-P}lKynX(+e1nR}
zHO%4K*w<5qg9V`r&2sNcp@=SRGw(?B7{Kb6yf3T;S+Fl~gJe!rh&Ga{R)WMOzzN1N
zGTN;fw)Bo!#yLRROoiAy%VMPZLlJ}hCr6c$Z&ef?ucx~MT%$bKyAmZrSX%L^l)s%F
zOPV{#Wnm1)zRL2CbEGe1880Fgs^PS)5Lo49F$ogMo8?7kWihgLomHzuh%joZz)F<`
zXfVd;Z2Y>x2|<?5?+0*rG()l%mnYy21Cq+21rVO|iW3Kmlt98wL`{cXiW|qVVa@^i
z!iVK{-AoDUBYOgTJVdC=k`Q|za+v0w-CI40l|n+bvN$rH0dN+R)2aCn{T2v~S4p+6
zs#Th$OLYjpgFC7X9WneYziLJAM~qxD5<91ypX|4n*aZ*I%kQsXGV9!voCp#O^6m$3
zhI?k(3hZ3v&%CStd3A5NlO8`+_vnI=PKy*825!S%0JR3^IUUt^a;FG{#v$nM#<Af4
z{kl3WiCmKxyeF@9YKtSU(>XYdhqokkYl_P-tNO=I3ZnAXf#k1R!I&hrpjx3-f6tee
zB_To|S#&gtubbDZN0A)SLNH<uT`(cDinH8=1b!Hs|IeS~P@gM-rUy|xNlgO~BvtR4
zH;n5-kF=yh*Pt|_m*xADV(tX(B<Mv<qv)}#<ST7RK97=)z*31<ZGi-GOTUx5Fr!e<
z7k6q0LA#EQ)7Hb7;ByoCIK6vy+f0GQ)Q<+=?K0FO0s8~I0iGq4Gv%r2Z?pb#QBJJj
z?8lla`2I$qUc0K7n8C%ylpzU9HnIXvVPh9^2e6q=O|!lHn2)niTRl>RXJvmk@EYnu
zWEft=y@ZL5GQLJtiw>JMz}OC(rt&MMj8F$S{HVAHRiz80cR99gs{I0p7}Zsk^=z=)
zC^%Szd)sYf8EeN(OpSgWf>J0J2;-M~f*Xo%Tl(^spQtDngDdJ&2Z|2^$H}2>CG*o?
zifgCxno0o+Q45t+#b^zzI!4ll?#>e;A8K};j$DA4SVi%2-&<cm(gGkJu;e*(FCEB0
zQ{jI4`5%zWgxB_SeVsSlwocd8-alPKbU=j+u9|7%VFV9KQqXVSzD{p@y{BsD)(khs
z7E$^FD{gbz{>n5?A=KJ(r21oPbSts0Ig?O}z=a~XX!6cxmQoQ;?P54qVtTT?#P6h0
zuT<dt#-B977E^f^R;PIv8Yf9b=Qn96JS<N+)hkazG^^K3G=GzWS;^!vr1h-<SUy@F
zv=H)oz~NoXF~-1SBkHm3$3VGdWWDC>@jPD3C7i(?ZlAlo!&)!fQZ3E)yztUuNKO!u
zsbQ9e0M`}U;3{eS%24<n0s~qUS0e<a<IV2!``bgI>a~dB9uxBdoT2J{CMs)sw5vbj
zDakJ|QXMO{(y~6MWJxFZYc`3bId-L?g<f7Jqy6gDTc?>s({F)BN9T;xM}PELM#+w|
z9s7XoaAGFH@L+P58c5B2EqPIJ5H|60eQ5_;Po7H$EMjg}97%=^v{J<<;W1$BbGuoa
zU$!qxLl5N8tLh4mh<L2(;=qKxK07}<ZN-28X9Kitlj*kXapZ&w6MFfd{~AuEx`Zeu
zWEx^_nN5$?1}AyCd~*?Az~`oO2(dowVF6r*mTN3kuCBmI^KRatf><=UEkA|Zjp3a~
zhdlAcR;)fY6BJGv({nJF7Yt{Ju|HW;4NNpys)D{=z+B%LKi*&0nSK`&c)DG7ePPP4
z>jJjNkaK?h>e%g?pKrXe)cn!}e>>2Z$uHC@NCus^J`&A{M|l+9PahtMsTJLUB(awT
zo-)ni)_x<fh)DEwIDfq(_M$G{xb}E6=at`7TwDsOeIfi;(8`3&!em0J@GxDk5|fje
z&7=hNe>Pv<P#u2JmxG<ef6+OlTG0Dw=>icJv`aS-h(us6!8B}vlLX(t@?CF1e^fZ7
zjKEd@9)sTIvlyaVqF3GHjVrBVtpgw+0Mgys&sBBTfR??ljkf8;Uogi8jgxg$GCCH)
z3nJO;aHISm96T^<Q<!$3S^HNC37_UD(00qVgVmzDGgZ=X<-wjCM=jcWC71r%o<nW}
zd#*)rZCl2TVEaSGdTg72$2$wLUh=7rCAi}O6**M~b@oS_I6Et}^fbtqG1(Gt1oP>_
zvMVo&mRm|*s44%*1q^btRJ@#8J+2wY+D?*K6<o19%8@{h;wfK_)Z2_!a`Pl1H5Or;
zgM6EdW+OF*#!jeEnqFQS*UkLeq=pjl$X~BT#e#Q9j+u;=ptf0Rx07SD1`Eyp8Z||F
zT#aU%voTT%`jq<K+v(6UY>@aO1}0`|dUc&(dCL{~fijDz$qNM)y=7)cS5r&tQ)a0@
zDbv#NS8PG@EB+}cH4!QQxGlrXr`ff`MBTPm?-A=!(U0-DoamT*#D9KC306L^2~yu9
zw{>4Zn4Vh2YIr$`c<7Ht1-ZXtMp9?QBQ2DZlhf8f8pI(O8eVt!5mi1vukV)DcKd>f
z7Dk?=R6P40RXCw4Ay&4a5=cu-%4`Qvw_;IO*xKA|;Jj2&!EwRxtRaVe#gI3jL&$k=
zK`##{ct^r5c8$L%P|8kjtwPu?go8e)f!$eBQZgjquxv-|bCdmLsd4H>hl1oS`|VK*
zuj$W3sF1V83+!|W<puUSd_g<dcLq^zPfJU4|1~!^eE#Y=t6PQAnMBKn$n(Z<Dflsc
z)-rh+ht%<bBi4Bk{q5stQvAb!O`b+~hJel|xo^6VH;#w;lOWc<9av6kY4R+LV^7_8
zQYN(8ezj2GdcQq6XI`boG}9zjtYWW4McX-UwW-_Oh^$)z<bo=ad0yox8hp0<3g7CT
zUz-eu?@T{~on1ZwB+MG6F~GXYRCPawDF>9k{#q^PykwnmsnxsbaIs-xSVXV#bMQXz
z=VOvYX||4#9@YXLf(m9$t~buCi?~>#N7sA7v<N^D7hE2FrGU;*Hf^thKxDDXu?mf!
zH_>d)el$xt0S5|i>ePxLxf~j-qG~XnTRS8+lx5V{)3Z($`0~{}Q_vx!RKI2*3Y9^L
z4^~-e+S>z4dq|__@kcuTh9B-{jrbOEwvdsKYCB1qsa^O;GR~L6f0IaS^)IJhg3e6S
z7b0>S7rS(Z*bc8n63g-0!`K(hw}0?=`hKFf97r&FJOQ;LLIye-q?a;`4meEB!k&2e
z*h1)k^|Cu^9(CCmUtUJ=@%&YkBvEacy&(g&z_7nk|LmNs?C6Im4bbZdQ6|KHy8L_D
zu|j%zmHb&TPV(>dFWnTs`C&~a@a!`D_c3_>(M&H!bI{qn|7G+KGald(`0HDNcSxet
zfAsECLsH&1HM2t0;`oo6SrY#jZ28=az)<1k@fC_vW`rM5HtFw+{!aY(0CFr!Za^If
zQSS7MV1kk&;3eJiZ)H^y*w=k6xwEVPKWF3mj|-O6*l7P}6Ef|K2mUWcWwErPNvqC;
z`vJrJfMx(hF20Wj2KxhXsi~>><{GsBOf5?cT~kM=Y2)ndY@Saqj}fU9Xa%StBB1=2
zhr`JI^WG<ugNy>vaHI8MTE_oOPVt+hk5B6<BmRH)po&bE?MzuZQ~5yQKNkNnN{2{R
z_~S-Xi|M~V)lLw=EX%bcG@s+ef&c3KA9qP6f*Ajw-&D2C3I5w^`l~4Z6Bk}q16BWf
zh~zzim6a6)U0YN0k3)x&@_#xT+y?Bz({FQZD;w+oSFrupJ(fXof|fW!uIhm8qMbGi
ze=@LB&kg_owBxU$D%oRQ;2UIZf<RVi{T!C?pTY27K^KPl@>DSQ5w^U4pSd3}SL~(b
h|Bv~9#s~h-Xfb=yWtN34)(9`xJ2@5EGHGzY{{li1bhiKi

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps_by_cuda_callback.png b/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps_by_cuda_callback.png
new file mode 100644
index 0000000000000000000000000000000000000000..7cf3fbad517b6613fa7ba5e901801635cd5d4782
GIT binary patch
literal 102294
zcmeFYWmH^E(=Ln!NeJ#9g1ZC=?hxD|xDM_T+>;PIxHGux;7$_UeQ*dcI81PdGr9BF
zdd@oQy}y6ok9XGIYxi__byrtcS65xVcetvu?91mQ&*9+UUdp|bQip>>9)^R1mqtZ~
z<&=d^+rz;<ueXtuRF#vIq*8Ttvb3=Wz`?x>Pf9^i)z~BG@A93Nlu#&9mv9PkM|g)O
zjJKzSCxJtih=rIN{!-WATLTq!$WREIJhnj+b>uUt+8PGl8n%JFyo$(YYPIbz&`mwp
z+OM{=M$*nQ0>^~cZaQ1mMq1#$Hs~UVKWBL<#w039w6!M@`6VjvXCFNL00Obe^AX)c
zclg&--Go$)SWk{nD1tTbDpz*p1@!4jC*h~_^a7k1JZito)IupLP~x6hpK1gS?i0tv
z&=A(hDb{z*S5s8qaqBWU`ga!uW}3Z=#vmV&TBs{9;j(+o&~V|Xbg2bc6S9J4UVWmn
zAKLkKjY>#$n3|s6C*F)=>Q5sZ^vmAgXW4k4=DyN0vzab3iE8_%V}y7$I)&|>DdZm5
zf6~RuBVAwfnPQ_rDpv;!Cn=8mPMCjGcI3Vp|MA7h<_KimC2xS)J$PZSO6^5vHqMBF
z3C8fKtN}gX6BMEUOsI#y9o=#O!EJgal<<8j0gVx#(eBWDlVs;w6gAh9_bOXly%%n{
zlHUp6CJ;7CEbF`0jGM)jzbA|c>GAz}Dr`sqzQ6)X+TI#pj+sXQN8h2J-~bWrY6IDT
zwePuwC6-CU4z@c}ahb*lEt<c8aSD*WoV74!n+XeZzrVLfK6PaiA*B-eL6hv+jey9v
zj^P(a`4S24g$ddSHm2+wi!kEl!>EOqEk$UqAKO3nppziBco>i*jPvTsbMx^uA(&iZ
zjCWBxg>4_x(Zm|hsGGvE#JsL?RomP~oVX!riSZ@iITC{_FoWCG8zVsD-f3uQ`wTBd
z^{hk;tpuJm2Qw<}u_9R5Sw`R-`H>1qDr7e3C5|`~RtU>i6y9J7RrC)b!Z`?<!IJ9?
zZ;_RQcqh<WyJ?+YF2i|tBXXekbt`b7t%ee#hB#vp=ZVRG6(~R?7T?Aqcm25h%9sH)
z;-gtE(ihC|93g9NP4px&d{rJzln3;z&#gJk6L9XBB*A^Td=vCU&k{_SDxM#FA2tyf
z3G!dZ^1{!As}6SiiQpw@fC27~c4l6FW*iFb{_#t}>-jTP90u=1<RKzy*_OO}HMJ72
zM63o1t&dESvpMOi<RwNktTP<82p8DV(i#(Q>NyuFjy_>X*G<|@984}v;P2+|YP)0J
z68Inqhd)NVGS}pgAreH##SND0wlICp2}spbe6dZvjbVv?MiJRNWPVY@`<~sNh8L}k
zpzWnE+)|WqEO~c~S+VomOq?;)ouIS+T4&;BiDeOk*T-bXbdKm(@a(}l{TZ9Wztp@$
zL@13vSN8*Z*Lp;MjAIp`2_OlEhz3gzygH;JqjSfq!tF!lmLkrhm<%S8P^5OGPR7mn
zLKu!2?nFyN^M=-*7J=3ahm>}RHb%i9nJDi1T|6yuyn);#4YrNo9_pUZ9>pGOn&KR-
zU_$-?@z&9n!0EG7^HUVLh=On$jri9s;vjX9)@jieGh;|%44$NIgJzXx+KgQ3fjaIK
zl8vE_j!p8p&z}6=^i=4S1{WSNH*sK^W|{-n1(%LR_V9*<2Ve!j4|)a)vtS>HQCG!d
zjbQ$yw4lhZ*z%4z->lR}la41`Pf=Lrs91Sua7cIP(;#42YbYy@G+B1=V2B%{vE?}c
z{MyC*Bqy#FoZGE6Up7(TtYNC>5}sE_tyBB1R`(=kgPt}$zD*r8#a75$C_7{gkc5aq
zSRkQ8gh}+tswwmArtFM*u4aS&`0smFY2N`Vhh8O#Br$67XsKug?~Ba7D8scqwH>pS
zvn{l>n(doq+>hB8x=_Dx+h@0SeS^&UNn80KSIM@-+RNt4n=+nT9?LfuZzOrncrth>
zZLk}5^-lB(^;Yx}7WWqe7QGi=E?#+{3b<!UWpxO22u!#7wEk?>cVBV`9x(26UbtS6
zoKx&4Tx6Ytcfq@Byxk-dFXLZg5G`|jd|8Q(`;z%(HR(5*IT@jRL>WW{P6daQ)08<D
z@;7wE+)>=oq*1bpTS|UPr%H>8My%6D1P%6J&?>-KsZvox5i>)CBZ23PcbM;h!`Ix=
zdW^UFO_zgs<FA@|lS#*u#i@aKJMRhCfe15*RYPyt(tcz^bi+jJpwF_*65X6-*C<t%
zJZ6qlzHwvkeCxbp%~Ab>wUtAPspt1&6<_l^i#wmYo#BgQw-ibvk^P*#Zr73zL>~(H
z`ve|$-yRnH>~Sq~@!6<=jJQ;J1oUy3&~TCvR~slAeq>{1o38p$bzm^wmb)yp60v-{
z0$7n;VP2;6wf3R$dgG<&qvu_9Aq4$&a(c1|;Tg~bfYLlh<eW&M9;?D4G(Z#Jb0B@^
z=T3<=4AJ@VC8wsfANT^y*UXFe!J^ZFO;7o79YH+sT}Wn#hzQJxK;*P%kY^Xj8X@K(
z2cc_W%^wd@y|KzDnVuhEBs`DAD1VWG;rW6cjWXsvK`q;cUV$qOJ4pCBAwGc?DNn<c
zKO{TJd{TSz)1;@)UgeOH2cY3}KXKN|tibF&C%rjm?a$haTA=P@1<9Ny8MkBLGR;y_
zN6JI|<_IGs%8k64cG>C#<AnBP9G48|1AP>|0Btg@@-G8#{C2RMk(`#?^x)&5Y<ySY
z$Kp4|8ye;sDrbP3!Tant4fTih@WF98svPZoj-%N;2@;g14g!gtOdZ0Z5$Fp3)c%v6
zd2x#UBSRyYx~97HbpX)Kf<OOfetoxWh|ktzJwZouN28$1YbTA>0fD~O{fmj)=8F~5
zdR{zxqNUxIlU=%vqAjJa?Tqb|t*#}q&X#<!1{3pdyPnx=Jb3a1&tIT4%{!IeQalJl
z?;a}&^sgKq^m-Uu_3ZTwwC}x1eV1k_M*<k0elA^JA3X?Gc#<uLuMDnvd!|fR<<oM}
zw$SFcJ$z_No|2E0Upoq4a4Q@ERoJq-R9i!xTb#V_M2`Fgul%dtRWxhtsV}q}1D@s{
zrcvIaI8wNa%xf0vX&GGX$*#sq&SuY6^0e{*!fL{}FolK5J~Us^->P^t3^nvN7{~mI
zMW=izu&80Bp`%l+-jxsUh{Y4dC&Rb;cKbs`$6#}5t8Qn@_1m{>0*@Oz^FV0!FaAmY
z_yEve;#lbeYhrSqb_q|h2Z*)Sp;;K@zg~Z}cZ_itlWeRQz&}+wsp~CsJQ7paQ}@iO
zD{EMo&%?+$AdflMu3oU{?%Ss?FPeN2d~exr4ch$%H>W-s$v|6%F;WDp=MDM&lL8u!
z(k~k3M9MppjVl8j_L`2JIvm|P9zGvM#{@$Vt(*i_4qG7~4yGKokL*0Pmx-H6eLSr>
ze4M?$aG&2B4RwI8xS``h^Ve8sHM?==`JjHLSi1o3>q_r=pX-q?OYhba*6A^27V_Bx
zRh}Ns-hb0Lod#L$kMCz^h(gJ(h`LV9Ad$5xAt~Irp8^N&YoC%H%QXT8o)-9sIr%U3
zu5Xtz9GsF?DZH(2s(hJD_D}9+uDGYADHBD=9^O68-!a}#*QHgAH;+S%(L3G!E^cmr
z>F+l=AtZn0;d`Eg6}Gtv@8yOB=Sl;YND7CgGd4c&hCCWbID&nxA|x6%p2h<gO$v|d
zirh^ZuJxrLw0X-L4grg`hq#-7z|1%`Y{&9SH^C99yRiTJ_Yuz-DA{%K==eq8-W?G8
zOZg+~<BM8Ow7JWZcwU$rs||QBXQ`wF#{^5G!oi2xz#+j>@UWW%cEiCT#(#!Gfjx0x
zw^R<oKTDB^a}fWThL`?bQCve(P7e0eFn0w29Nny)+=<3cb6`z@Z8YDzzgJQeFn4lb
zGqrFs1F(5HIR7Sr6Y>&(B^?0nrc_=I_Kt1>Uc%IW)ewNCe`m8(Q~g!N-A<VLy^<=G
zq?0RvikFRpje}a`ITaO^kgJ8IfVz~-KgePKgsH9F-JJ#4**!fy**v+~oLsHgIr;hd
z**Un_xwu$iHCWxe9o<d6SRLJ7|7ql(?MMOK%w27q-EEv4seZR>YUbqOE=*1RyQ6>o
z{_qL#viWyUj&A=L7Hoj*zf0IT**Mt$)i#V&=y$Gws*M-GURTP-0VW<;A0pgbJVJlf
z|G!H9-Q#~yzW+BRCm%Qef0F)3(SMU_xdB`yog83&x{LgKYW_j|pN0P*6k`89^#2gW
zA36V(3lp@+b0PMBO`6Daq&Wfz9Gn=OoRqkx7yMxsiXU0;%@t4s+M)02<QfP0{0-TD
zTJW<N)f>dzk2Ex55~m1HL2^_yNC=Eyv2f&rChR2G8~5g$uZ%2)L6xf+9?-LqmBXW~
z;{w4wWymq#ZRUsHzwI`+rtvZEGa&+I6bU$ZtpE86#-hO@2yu`}5Qjq&`yVec>>v<2
zIsD(KNo9d1rb_^7qIik&H`su+>i<7>4y*9Lt^WT(0$*T8^uII<6&ZmbvbU62yL{G$
zQjiJ`;a}H-B%G_>lXJfoOu^degOUKNbrQ<|P5xi4{r($F^%@SK`*lV24a(n8w{Bkq
z)nxDS=lp+1jYFc~5&_~LBqz!K1|RTHm?CcrGjAdN4LwHXg0b;z;ia_O|Gbudivtdj
zc2)5e_iqf4Y5*0so-FwAM&bVkAHT9;Bm7@M|I?)We-yM7lCJN>f9Xar7Hy5!$p)4K
zfBMURD>q^W+*W<Cf1s)$Op~Z1lMuy%;86ePON;?0h`3L+{lJ?0Z`2N=h64}_ApDJ*
zVgooqAQlTJVG@jg^Z2io_<tn;#J7Ko+y8BK0Ot$pLUR7k{}Q3Nw8><iwDOV5il@LA
z^8YX<!6L8MnNnJguXLrIU;WPiCDv^QS^r5C|KIk>WCE+^J&UqOZ+Q$Z#^JwJN307w
zD09wf*Tob@&W_fNo}ZHQ_2u6&6xY8Eh2Iq(E5hF~6!9=aVH6_4`yb5zzsQ2ue_P~V
zD;o8ve}j*1h2It#?fJsrv4kP9FgCt<s!US<4L)GvfLUZ(1`EXh7pMP`k1F!pBCiQc
zNB$i?+G$`G`R@x_3duNO0>*OiF)E8LsGyDIEd>?A+4krQ)j<XVn71;4ggos;A7F>D
zLiz<+BM^&Z7dIG+8wz<IS_#D<sCulT@2q>Ii#V0|)NOJX{lioEm#`bh1=@L7_f=T1
z&!=xQDkw}p#K14s#>H?ch#-=>yd1}fw%ABWt-duLo_>2%g(7OZRYJh$lG{0S6NH%O
zEp9uPXg@lwBOTuv8z~s$>aU@B-Lkr;tj<C!+U`5Smd?PR3P9+f=W5C+kDT%Ni96*=
zq30~+*6s1w<i+!(O7?pcTj1`#(Zv?UosY8TLq+-RAg6IP*wFhe20|5*-%WN~_Cf1f
z!Wul7>%3ER9}>&u?q7364zJP$IG$>|U2#w8^5h}Sw7Q#W@;&W1FZ5HI0J{mTD0uGe
z;--V{D%lTFYy&4)-8`QzI92qG$M?!ay<0!?uYeEI#-+)S+Fz{?doE_2`kZ!LX;z8u
zZ^v>8&5l#<!Ti}kypLRBR5Pd}Kv5v_fuw8B6UQ?*W0DGgx>TrKVB_c#G>`sg-^$JL
z)NNh#V`rmZ*q9(xsI02$(sObpnJ;zz^N`c1q34S9>GvhdBXY$DaRJXjj{Qr8Srp<e
zkx#Zu!avFF{lOZ7A;RPjAJ&&mow~Tcg2}EFZ`rqaP-3gha!(DzM&`8GoylG#J+51G
znxzLdjgw?iE_KoeL9Ny}Q>^;(q$6*SLyDNibuB}J8Bo0x!~&?KbuBTTNgJ}yurNdv
ztJ%n=spQ6$)<ydpQ$}@e^Raz=H-NnxiQ;2yAn9n}WEFhldUjW))HzdH>^<5=c#P~i
z(hni2x)biGQrVfUa2|53Y=nZV@(Rn#_KxX?XI#K{uIIHHi~>S&ECg136|42re%}IY
z>RJ#Gsg8#l%b9NCbyB7ipiU}P+@7l^7P+ezD5c!DADx~zW-pg_?&G#%wmP;Ytc={q
z7Lu2LSb1nnJ!|RnU5fSb?X>f+!9=h`5WZPWANP#Dt834`7eNAvQ~^-T*6#g1uk_7D
z*ub7Em{M5+NehzR4s)4i5#fs8&suONvT3hR4bNz+tCUna13QgSxY~<WeowytV7c8K
z;e)vG3s4$eumc0`?%-8Dv(Y0<HGLOKmB(45$U{Ttiy<zs;AelVUm-!(P0-Fe$8>*P
zuE5jww?FP!@}~^(Y#F&%vV{aj`TYwbsmG4w-oacm4%EX61Ir#-P={;F;+n3*(tfBQ
zQ|8&8yUG$fP*~AeL|@s{FiFnSh-cY>S7FFKub{NzUSBa$C|Y!E%?g|#gob;Jgs<Xl
zID8IR6C&Dl{3SEQwZoYr>|~p_$iv)q?xGf=Ylv(}qx5}hmdCcuLaTgnKk$d!cWX~w
zl+n&NX)!I!mv^M5;RUbca7(CcsGaE59XE)E<cXBjesbQvu}9$u?rS6|vti3;dYpNa
zq~_tqsP*Qkc)v)!Y|G1G*tE*uN)i<_yK&Gu$u4j}flNg*p1xEhZuH?5eE^NLY!B%T
zHgPl3R$)nQWyD>N`0<NndM|xifAL$SE0l$~hU7Mfpca)>ZX^k#X^5obG)>L3;7;20
zXfkjTI*Rw`O~6G```pcqPy}$?Wi092Y7ouD-pvS?zSbE$5IA1NMQU*k@7>l>mYDpr
zT-wr3z$9f_Ue|F6s`eQSS`<qhEtn+IIoqFmjf?6<GogQ@_&lKdF?-E;2vn8w-OFA8
zBS_2|*O^c3h@HBM-J|O6R)F$&f^%FS3{RHjR)F#>lgv}=JMoSfaj}}o(m0X<Wv4oM
z<?fW0o0b=Biq`1;mnoOx8=_YT^6_NbUH7lC<Fz_R*hzO7q|*;;xs<|MUY`!UQ?ZoJ
z!2G7=z1_+#-SSw}vdsz2*xa@qKnfB2<gJl!?dZZanw2im72t}=Je-MdeKg0rs8J{5
zPv%jhYOBZw=y{oc-kh6=tuMyt;+^>2#^zq`i*hlCLi1}uvjEzO8Ex5UhuMmml7i23
z&&%veb9`dJO^F%~2d0H^<>s`h4Br<8^nBbM(!BLRjUCf1Q<Rr;RT{wRsC)wX@Ue|f
zj;OmH)m7KP^?<J=b_cj}lWBMq$hGs`kezp74Wa3awnzTo=Lkvknnj)0N+2SyhS*mq
zEts!r=)Y+Icja_fvo~)ITvoskuh&g-tJwpNt`u8*xj`I6XzsM&mV_N4|9(FQ!7U!+
za1Y=bsrTr^8UGSp`2ukKc7bK7rvzOH*e1KSNfxu?mK47rrOho0lvXa^v8uO6Jn_3U
z`aBM3Va4R~i-p!-(YFr$x?riEt!>{{Azr;(JZC9BaQp6IoU*9Dpg6QQIG-+nxoLOH
zYa%Fy);wgj&DkV2WECRWH9a_=P%O6)-19jJ5L^%m3QZ2`HB)oAyYc-bz9i#Bx(yX4
z2OpSO#xlnRcR+8&JaqKWB<K8uCNK@o8W4!VbtW->ix;+>fwSLK^E`BN7}n+sa{0c!
ze`Yz}?%wc2G}Y(^q8DR?ww-?5$~EF=fUIQ@%Fs*m#Z1v5(m}uB$J6)Nrpo&}UG~7h
zAM;qM2$<b8pm-WifzVBxMimQ^Ug^SL^l4_V;~7P`(ngVK)fJ@>GJK<~++rKo0u6yC
z%R}9A2XQjCj@8A<m&ms2`Z1I?IorJYdTzd1N;i{i&%cu3J8e`}pxT<y>V{ps>z-^s
zk97D9s%Ux$E)bO}QpI7O!BKp8CBl`o(IVR8D*9zJwo;U)^pVP+S`)8IR$$TLA^1-0
z#TAM^aJ_kwet*_QpRxq9d0)%iFJ;5DNA9SNa@&@$D^lxqVs>Fx*j4=%ER=9uN=8rX
zqdw7M^b(ZG9QUnZO=Dp!%YdHs>W%dRSd*%nAD6P^G`)DIZot9iewn~qDSO-n``+G?
zJC+lhx~?~D^-R}-CxGr?r!M*DRvPO`@Tp(25m-NMRQI!r)s3MDOMlzIFPCLXGc6#h
z3-Kyj8^48D+@}4huN84NgvV|t+<L5wpkry8d6+80dwZS`lx9GFnzrN1K@{Uo54_<z
zraK~MI8B>@NZ<K(1{5dMccQ0CETz=DuwtP~AY=!q3K!ZTt&VL>-gGSZ;4m4CAK6~U
z+O4i0`wD*D8ubtoK5XX)X9#5@^Nj3#@H8Iv#)gt2R7J4H>dcCC3t9g1GpUj@1;qG@
zn6FdD1^YI957*&W%ksQPN;xa}^%gKT-X8rtws4@vIwH}*>y7lMURA00iMJmQDrrNk
zWMs>}WjOmT^L}+wdz`!OTB=OK*U`Sw(2vQuS}@2uj5OOvt?sdbTIat${n^aGXRoiX
zmmzNlpnZ?qKyK6MFOcqSyph@GBA2pRX<MjcRTs9ZMpDsIp*bEQa-;e{P)+*k$|$j9
za+y7EJ}Pn1RS)S3o)eK|5Xf*$ioK89>o0Z{`3`guih7K@%y<1d;L4tImh|vJe2VN&
zopS|6s<d>|w*0cN$-U%`J(T>2ymA?{nSEfc(5c=fos94HV=3l<t>`RlTg)qF?r292
zk9v^lo_1T&Xl=<0{t7AZbAs>>E~Ri~8H@v6vl3Ajlo>wC1hvmi-;w!^TS<zzo%tp2
zfP~y&3w+twhx$k46i;6z`Z$PW*q*w2!J_do>8ArIBN@^GdvfWQ8&-K*wJvijkr97E
z5*jqgo*H#Pm0nO>gsR-IOn}m62+f@&OxKYahLMju#7B`C;8o}bkgYu=%k)-JF%f!}
z{2qe{8BBXAJtT=A>2s8BrRb5K_Fq3uA9PBcJ#RX8yAus-&*U4HCwZhg7Y*LN#n1}R
z+dykSqJ(6tvw=b;75wd<Bwyr`h#8T#^DPnbkEXOgQX#aAQR3Zop%2&vccADQDJblT
zdJ~QBbg!BlD}cE&s&{VKMJ>FZY7f2Tu8)rR+a5)x3B8A5l(vLh+<|dY{1Q~?L@?jp
zM@G!Pg!*>?6(oqz9~JJN67@zD`<=o;*Ed2@9{AqtxS)zM7$&NML{;rg9qJAXGzRS8
zj}eI+o^z~!)4AVb+(a=hR5S0w9UwvLnhXewK!C++_cCxBk!z}XRR4@if;*|O5FCHp
zBA8DYNRD9q)!|=3G&&2yS1|J20}*ON@CYx~F~a^I5NrY;o?*B(FVy^Bu_IzE96|ES
zcHgO39vpT<)PLtk!EH6be~`TG68O4s`$Un0{HMqeHwaW=Cj!sExVozB;NZ|#oc|+`
zJ8u*+<bidsB6ioE%IDPi^g=cqRy{ObY)~(Qy?pDiM0_PC*ysjrGatnVU#&}o3M<P5
z*L>P_<96M)xyOV`m4n|%OT&U^z%KM>Ol}O-geXif&yw%rwPyEWBS9GU=19usnWAfx
zv?NvZ9DVZexWD`k2!7hjlfpu!KzJq{<JtOXJ)7g&TJLe7T~^hIW<)YqqL$AfENlq%
zS)QAnoh(wy$c&MdmR56dsnyUkKFsu((>;H@gOaBB?3Wf>|NQ=`FF@t>xX2xgVZaTf
zZ*M2l4Wr{`JEKp8`X55U!bAGbp~cT|oZm%a%D+(^uZr<c7$m3*Rm|v&a4?6lA7{HO
zd_x@Z*~>rB7?COx^6U_3Ge$7Rax@)s-U3UtBit5?J`C;&G0G-tf5RgoB@Hd*M{Hz;
z1#21}`XGywpvu=w$OylsaE_ju9$NXJ5scNczuK`*O5M~tY)NOeU|D#);!-p0_m(If
zCaF)`{<7ub-J~#4wdc;937r)cl_b2XzQ{DK$!@Xo)ve)ud2|{QwAs`&8o4}x@EeYK
zkTg+c9Iluf6Jg8_eDt=pu1V`S{ir(TyAe(=L@p!n&yjUgQBTY)>QWF%&B|&$NUcwd
z5ooE~`$Yler8q;g#0CYH1cS8`UtV73JpL9FM=IKz25}?Ok*jf_2cJdb+X4H>tq9QX
zaF>b*%{rm-;X;|OBoS~dAm-q}+HpRmaEw80L+O8xeYDsxJTHs%&tTpJ3zz78YM9DW
zl&TyfK?L!%F-QH+Jmf0DY1c{KJ+|3(Jmbm`WO?@|@+NwV6k^uAchXM@jkosfZxbR$
z`4_x_j0dlv`i>p(`Cd+yVi>;2F!IGqDafDVka(D)=d@RL*y33<8vXn+_@@_tF{(Vw
zD(qhheiySk^`<|N)8D$772A=E_@%D;osBB*t<oH>w56>29I!5S`0{CKX{lLS(nV7U
zrxUQe7b7MnHY9jeL<z1oRsoecZ1zRJv7KQ^7w}-pa-Whj%(fDFZ)m7w9Qe>65O^?G
ziAPCUz4+e1KykWAiQ5VmdH#V1Bt8c{<4%&?Hu43lrh1>oXzXsa!ZcE{xYnBS_xzx%
z{$Ay~(R*N9amxdp`{uWQ&6-#fQiy~uU1j2|Ii~2nb1|~$!};{g;^HD>NBPH?7>w4R
zpGh^-j_(T|euaq^v_U&F9NUg~n|i;*AI@l~6i!V|DfjP;Who>jC1p(+;`Y>UMf0t`
z3&S9H6)w1BZ{4N#*@}~et*n(J7n+bin4Q=JPWKQfr=vmGCN;@qs+fK`<R){rTnEMN
zY~n98hlmWOrY~deX2Kdij?9JCxG?@@!-6TWQAq#`+~Y!$T~7~CMgf6Ev>wr?8<k@J
zvzXpd&Em_;53L&!%)2)`Kt3yvh^B^y$)lz<<(DsCx{nKAy(M4j3KY!>xZQKa2gJL;
zAPD7~l_M6t`ge?*%jDBG?48%ttj3)Nl}3@#(X)f|f4D{B4xXpUyT)!L&~~D+bvjsH
ztgn@-oRzw8q|@)A#qE9Bl%>%Sy!*~~=S;ZhmuuCz#9d29xR;q+*E7Cx=;|CT{j12n
zg7Kn}dF%=wehClOFdO3|fkpM&&L-)ry&J|!H22x_z_?G}cYhpRO}9!8XH@~QGvsdu
zKe^Wgppch{?z-F89ACSw)ACYBJm<DjlY0LqFppswN3N1w$^DBrdBvJ+^bxBg=b-lw
z^}fl08C^WmIEmTOyV82c*A7g^(~N;eW^91Im-&}5+KbL!fa1;guNhyJbngwJOtDM2
zaj1XctsESv7GGvbDI9G!!$CZ>SqFIJvWag$mza^q%|<IGsrBsC9M0+~YqoWr-53`3
z(BRNIFDSKzlU(0E;3H5~OV>E`%Pq*Bxq-fJ<WH64HpJWN4_U8#>(yLZoHu4Yn)Fbi
z^yk61%u;^I;wI9#5vC0I$lZ2Atf93y7r`?#hfPLT{J>Zj{f=0A&*j<Y5jv0)EXqup
zg%+Il$%9UTZC`PLa<A2kr@t0Z!@S_ah$7+oy$LJL6?JH$;qBtb3S#-9RpYi#Lm6e6
zF~iDlchaoKHT0U2FwQ)%|11w=zF_f67G@@<yaqdPnIKhpgOUG*R_j*0LX_a?UNLYg
znN>f^-z`ASy~*})zr6ZGIYZ=^FH~v;X+JuyRu%F}T4A<0YRhe0IOXza$?EXnotM{J
za{j4~pw|~2ut@*hrcZlBG(v7LJ)PvW18haOKRsMc!$2EA!K=S)C>2&a5=+ZY0^rLL
zpw;}2{R;+*i=({--Y2DNKHURwoX17OSijde*P#r^A~SzVkk{xN;+u-|Q(lYFf*O}V
zt(M9*=xe*dgBWfA2Mt>T6xrflNaH4o6Fkw5Em{Z*1@o0I=hG3Zr@8IO$8VI0k>5)g
zXi~qF%dD_XBFPxnw*oA9aA)Vg(N5)U0#D|t#N>YPM07{2P+HOI2R^c^n@{h>=k*I2
zxmwK<o=@Ex|DuXA@3!z7LTz>I8^*&QLj<zr);kIdx18Q-&Kg*e@dIW?g(f_c7oTSP
zduL`=7ZAS7y$+Pna2?n1Ch+Hq-d{?OKEwXUzP66^{WXLAJuZt^IOqV&!_WL~ln=ZZ
zABd)VT9qFY{X&;w$wH*SqO3+@sleE7#Ws1b%1vZ-)M&mS5W5#+M^4LQ=Hx<->(|e>
zujzvEz3vrHY`!OMx&zGulEG4gF1<5>rxrNcNUa~;`kE$zog&fnWn|9$T+W_#xP2N%
z8&bC69@<myq9fg6ilO)qN?MN{4p&pMf<V&dmnXTFkDAG&<N+P8R9dui8#;nlR|44m
zJ9l160xV4%zz~f91!?}BR?Fhc6V~&`#yjhi<CG|KT_Kmfh>hZz$Kp21+@?k$GqUNp
zsAl)q<0-xr#b9310!-5ve^%Bzv};|zJ^klk!yT445sWf!&MTgyPGig`!oHUiZsYtf
zUgg~{HrS<bL7FW`Nz!@jlBaDjMXsrM_?D14q|zG9dY>0>S^@oe!_^f|2g*Rp%Lc`p
zRf2ifTp7`1q5<uC;*AbVyiCl@`LdM$GkbVy$t_GLnOr9QP^9hAjN%~{-Gd6Di@Q&%
zRH#ASIj>b!El636L1ky_O`;^`mA4}deeoYcu=%KMxV=p1qFBN;zF72u_<sdO)Aj}^
zqg2O~u3CyL`U_=RF&<!<Mp%vK*62c2=j*TRLnQ=M;2PZ`H8e{BOKm{EjU$NF)@VMi
z%<4t~L&B_(0GZ>jxC9ZGAV+iR1g%jLeP*GtX7U^@sAgp<QU+0*8*6pJVLk_!2gZZ_
zr7X>ZjD&;*x_{uJn{osQBLRVn-37-`0K(41{&;~2^LQVAkn21P4pyX^I8A5BtMIrS
zWKz?;uUU^(s42+GRcEoGZzD5xVRC4EUFlQ%`q+Wx`(;IO<8$rA1r@Vr*?`kfJl;)n
z(3bJKgPiaXA*wek7fX9W-Uv&z$NQzyyc6fxeL*ah2+qO9+M;W*igG@WDXyg$9<5ai
zs7H3m7cT+Nd#Amyy6koQC$+NnX&GZk0R#82otfJDh)blk!EJ$&G3hfex|~4YR~g=x
zA78^fg9jB8)oK>OlO9}~t${dsVp@h27F~%vO%iTPbeIn?$z0uThDA^~4Rb@B4%;Hz
zFXr^^wT4U)Om`=8&%eK5S5;Ju8e(IfwzycFuQe~NtyL==^ssog#8{ju!K_o|&eWKb
z6Vzjn$D6<a4&2G|wBFZTa`h=5xy;fk*XE~<3_T_0_WG3&I<t9uP_08pf=N-IrX26{
zg-c~I>W_<$wS`pXdCKxruW>&?DtT*jkcm54sqPaiaWOw!0r?N+agh&)^q8AxUc8(r
zb}yM%+TR}?zD+X^OOEH+u9h<8v{-?rdf3QqTWM~sUjV%|9}8u;MVB7<vRm%nR=3*b
z{$w=Y-Mt^Sh6F#6^oPDW1vZH0?6nZqcz4I{ekp~b_ccDdmG->|*4gVg3M`P~Jxlzt
zU7<|m&0W|>plad8;&1gmw7za1$=23xL(5XIl**f=QuNx`$A7xIw6h^xi5`DiYdTx&
zeONJ>^x)))=JXT?5hrGu07|P0IulU|3u=(q6HbX&3d0_Q7Rn2i`kJ|}<C0j0aWjjH
zCWby`bN@LYc|T3^zG{vxv!70~hdn?6LHEUg-U%9^B{;eEdw0BR=9vfb<Z4agWM2fR
zH97PgIt!kt+9$t{iYd(h%(8CfhTd@AYuh4X)_B^DlGsOpK>fpPZ(4Z#d{PV1Gfhks
z_;h-)=l7Js5IV}GJRtNbW~j@6$5Lu&(!DR0bZ=G(b1L^UxqCr=7GzD^$8pr7zQvD+
zw$|@Mz)z=nvTa7DK($Na&@m+6^<xrwWZ3ag@Z+l-AhA!ayfN5Jm3jF4_wT!lcGZPT
zj%}msbRt7No(py3B6bzm@uBhKS+QK3QZb2%iK(7@_0!7Sc!1mPudgJnw@1>HJNqw>
zSIRNkn1;9fDjBAC2nh)_jEu7NftDLDl(cixegr<AQTm*X@{P*T+>DsQ98cBcv|y^g
zj%UBg2PKitm0=FX-;ndhk2CkH%iw4o)ifkqE$gXo6SFoIoUKR7=~~KV*^$*HcRBSi
zM$muk!8D~My1Tb$w9<$WVg_r4<6sZ={~(tKX)i_C#=8sq>dHrL2<XN-e?+m=^S)T5
zLgh!p)ne^^bA}>F!L7J)RI(^9Sa$5bgrMeUL65!(A4Q}cM3#r>QFy<x@-s1IHZ^hJ
zW-+F|lnbD3Cw^)juUi4|Xv-Se52vg>{D`gDA0RihuTVPsW<Gy7?z^4tLOel+;=;)f
zFR`3Bf9oVw$qdiT-eL(MOopVnqpk6W8C$N0;_AsUFh0;=BmWh<3o5OY)i0JK90~*H
zuIEZ43l@EaYBGNCJdLxea-)tzDkL&5=#~}OD>}k4<c&#s#Qk!<v`F6!1T8Z?iWnN*
zV?__Y6=xhFi0X>We(&)@xYhnuhC=#qe+rQ$YcJtK=OWLDc?9)WV&J$xKmj=M^)3Y)
zD845&K<B?Nwh|EAsa(Lm<Gd#Lo%?in|B68x*b?9B^iI$7fjuJdwV798)>t`pQQ$@(
ztx>@1w{JiaoJ5L2>FHq%zrFmo*frXIGRfGN1@*YzHQ#bs>I%j^x1xur<Sl!3M@95W
z+5&56mMRzOPmvZ{x%35|8a4b#^f3l3yK3(boz`n#=;$iYsY!!`bh=WK+$w_1iKU*&
z#Wq%s>D<K`#0&)DNKtSo5jE0cv_J8qnMcc4viQphr_koc0O={AKC5pnV+L&NE3WP3
z!v{?%b6D?%mLYT1X#>`AKjRLo8^ucrdSfevB$+cV>(Jfjzn<iIc^HXLp%$hJ&eWvD
zf>YUxwK?SYsm(o{<yz2g?w1v`K$_m>&r-~F3<R=fz3JIP9*RyIk{6RKPVZ;M!41I=
zb#mUPWaA2Cg<Ic2tvF4cTA_wUxV&K`7!2NRQU1KuqV*wj6!(;d!bjeXWY{uw&#Uqv
zLX%Ft!G$c-;ru?#N2Lq-Un9~Et1pEe7>2oe!N!!xYL}L^WaPvYqplB*^mQxSw(j)R
zaz-nB?R$aYEU|;vC0h=2UARRr_C>rt`a^iS@tVWY^I*F`u9yjIoo*o;dP9=jVOE;t
zc|kESApN*yhk`4^Bq}DR=+g_rsbECIrD_rP-LKQaDM^6i5WCh?<3uWXW;f^2;@H6<
z(A1QAhn+p`=xjk=s^cNsu9oEr<cG@>Hr7#Ng$0YQzU(t;IyZ~QHY9o2;W<$OQct_o
z;G&FPYioKvF-ah=G@hZnZr`T}gpsl&fKA1@DI^*r885qc1d;9Dq?WdD!BUY)`aOhC
zD($ewXP4C?oU~G<)<GA|eC3Wx_ljRz^V8^hGkV3mWPd9ZMBKju`!vWw*%Q6<BYDGn
ztK1lTA?DUeZ>(=`=OYK&OVwyB*&Z(L^ru~eHkw~<NWS7?2}vI?4Vi36*Kms|Opsl(
z9kHM5*H2rJ6?_x}9{Q-!Pi`INCt`-me;{FFPTY=emg}fFKwn}ODXf;y&a3NNsnllP
zJMU{`^6`F9v02G=(u!x3{Sf0`ujWO>%%CLhXWdbAypx4&uc)hezI#8t*Nzs*5f5pX
zO))ILyx_5&XT0qfe0sMN)uqF)08YCCSLR!3KZ!9$yDy?@&ltVkdqq#6<j`Or!=XKU
z5+>Ur(`Dq^4n~x0UCwrVn5ArO?L?<*uiaC=y~*5ciN-!We|Qst@kEQM+Aw)Kr6Q1J
z8yBqPTVjXS{^QDvf=bx)-r)`Hj-QsOzeAdI$IpqS^SN!`mpd0Xa+33WOZm!IDyPF8
z0Rf}2r6X0lGyak>9^fZs(lbPXfa_Qq=Br9KFUZOVeDG7z_E=#gy=d77;}z!@n98+#
zb0W|ECq-{d7@N^yXdw_4NzW+1NDsv82;jG4$>`7i#zidJwRAL8e$Jh#_o}F&lIN+h
zuu#zwp536gGU;BB7=Kj0iL!QFH=6-MjriU!CC+1s9K)O0O5{`YW0qQD!>t0Ssx6%1
zO6oc3h5qZ6cwgE<*^rB02No-Sz=*puU>Br8&q%2#R8f1MiKdo%eWX@2-^@r3%EWh6
z_4pZ5q3<n$se)A(Mmgq_jj#Wy-fQQ_5Q?^CyCkpU=B&JveP{G%T9x8G?=?4{&MK=<
zBasJB<Ehq#!*OQPbP>^tQz`4=s?q0Tb8UNP9T+!@Z+CHSATE@3@uROipZssU>pP}+
zf65q3-lv9>aU~uUh6+K~)*khfWsN7~-b`%ql)g6>O5jVW&QB_2pNM*u!f@j&KbBVC
zbP27XS#qeE#8#u*R|Ovm(UnX;bYx}ngpRSc$KtmLnNH%BWn4|7ECs3zUj|mFcO-#n
z>W)cqpk+_JwXWA=-or^C#Z}qI$0N)wykh5R&T3}L{tH+vKZ(=-QK49|V|gz!U}BhQ
z0|w5*-nUx!ili)nb9HrncOSAx6_GD^+#EVrsb8G1dw(`we17h3zNSGVv`m+{zgflH
zEL3=KCdFulVYz0$eO^>VcUFZBh7h3{$xvHx;Qe`HmFf+u=E<4T-3(XSUTpzze>vcV
zD5-j+gU#W{3J#x4Z{<a~H=QfDt}EM71w#T^yV)q$hK_uirC{3A5{d)a-M6#lg>UTP
zINzJ2Ulc!NStO+tJG+0w&q{m|&li!F#d*nw14zd({SK7WJLG6nd1Do4=YD(AF29FH
zFP*j(8>t8gI}R*Pw9Xh*G>jp0BmWim<|Nl+_z-hu#BAXTkA>}uV`M|Mb<d8be{1pv
zm%>>+QO;Wuhkp7KZlDuh*5KGkb=HYGJpmU(!NK)$qc1`kLjvL9BWf5avyEMgBxf={
zaI=wQuN{Gd&oo3}Zpx_IvZ!sC=v&<?V7u)=HqoW?<M}*ZtH&718&+tWGNQNo=S14E
zLk)9p9)vKpQuDq3y47R%r>)fG10cnj2!wWivGDFQ+4Pn6hCu4wTJkBaK$@kiu)&YS
z!)G#6F+&g;GVI@&5~>~oK6E~vE`eS>(*9&#3e-a=z{mffXucL75Q5#L?bj0`j*+3+
z-kgx9$fY|!k`EBd7?=xvD3T*7!!m;4v6#w2^s=D<{WOpB3FvfY2zSdY25neN7AW2K
z7E8_E!|~}?qAp9Iurg>-H_W+hgg0<Y$wE7E(1o+Z?`Ka~lCCJ&>a5_fZg*x9LpqdA
zc8r^O$imp7_t~ee;<|o;Q-#(xs`A{CZw6H{K;CVP-?Nc&3!5+Hi_DaVV5(|4;ag_E
zmMfdhDczIJsAfA09A<KldHp&G*{nuv0we!j8KX$&>HbV*_qx~qCO>BaJz+C5hsQfE
zz_Wwkk<5OYo|$v^xu<PEFuFb6UL{%ygEZ+wCP?qq&MwEBQZdFMi$GsUu>i6DU(zB*
z=<Eo`RAm7hdXjfsF51Z)J;G2yBA4(17pIU^**9V2f`>(wBjIG8JV~h;8Rf2u*&}t`
zir-dlsMlN4?PiJxE_&H@-Q4Pw^LXs$R1FL=YoTmh_VXN`gZ}_#cTo^nUz&a92nzO(
z4j<=K*blEbB<T(4d0+Z{TbIR#7m(KAl95Y<OKCaxqg{gW$XfOj)2fDx-JZGqwiU1L
za5kOYO`E-P9EuZ&UA2>&CY1I`*6&!0$*JE~d7M9EIw0@zqASM9JICzM!9q@SIN538
zJ}ASqqRNfev*ciE`sh{?I+>XZE?r3aG5@q!+0Rz!bR{Yq>G=@)8(WGnY`s$}%)GT+
z)2J^x?An)hmsyn-s=IPea(Wy9PL+Yiv&Q1cUBsT~#^qOa>auk*v&s^!1g4Mo0q3iY
zYibA?d;B&tmG(GJ?IfycnXs>r8o>+bXFvPM&xdY-YFZk^5PHI?h0TD<M28Ke$3!*J
zq7*&>JiS)G4#UnT!$tj$h^n-cJUzMMX~QNi<{M#c_oI^g2pQKdY*9ndsiWp%?I8-a
zRwbLD$N6YkjO%go56bB<L5eLO^q=@PS2cTb84{Mh5H4^YA_y2CFEKki3(vTuk&CY+
z7%i!L^18GjS;@5JqlWCTyu=bs1-?+-0&n|He7Gkx9U7oo<Th5NF~)q)lQBA?nKrb~
zH=U8;xZ~RZL=kh{Z8imiC_D84AbDg0LcGUh{5&-#=&ApBt#M<RcMxr+4*#R5cG<#x
zXC~+6hua<b9jLG80~G%_P)munOhtK+Kh|nvZM^*0o>?C-yEKpf=)bP2UKfv1%g+=T
z_Nbn7+eXfSi6oZego<Qfv}yUJi&Np7Qki&iy*G<arAgYJSAKBcP~AMX1;mP_cEMO-
zU#@Yp9Vfi3(dCu>M71NnF1328Ih0a&n;CEuU5U75G)j`nqTL?-+OAJ3@AN_ng-}Cw
zg&&XiWKEg*sW;3)_5tB}#_4CKC7*T1M(ST5j|7CADZZ>bc`GS?JF2+Ngv4#m$iLEM
z6}6i8I3FAfn@2xYFGdqElW!~dfS*yQpvL?Jb7*Vtc_SemcDl-gX1aD{cMa)|6&rj_
zf%-S<x6V7E?XE&GV-!!M=4RoklaFi3#*?e*vv1OpnB8QTOO!LRJvl|8^IL@q*Cu!V
z?V!Ct7Ix_~k7^UZk_4?Ch2SCbEojTT%$f72wa5dzF>o|so-GF^jSu*jGkywCrw$dy
zXFD|rE`HmCOm`Lc3iFBA)Y@Aw(Y=*Kfp>bA%uYfU>%-f=$7~iSNE~Vv@>m*Kc0(f0
zDbbd7EVRJY&p!u$c;k0gLf-*zE&36ML_q`Lo7^#gggBk4C6=%&8KVS&58$WdBj4l)
z?mAFbQXlu(SmBlDFQ?DKii5Qs;KAdFsT2>c#@}Zo6ZA;u-1%MiNpi1$+!hqVcMc5F
z0~LRSVS4%|)tdLmHwE=a5pQbtkvg?c4!UoiLWbo;wsXcacpcLD)3)yY?=JZZJ5Gm~
zDNsCmP?mNl^RrGPZDi%R1A8#_0D!_c0^$YlzC?{z^M3$GR3-%ZmO}j=_NO6FU8#8a
z+GF2D6fOI4Mzs>`api`B1r(#VVGXXOM<WrVGqs0aAjiN&C8pyIaf0mHwiC7hjS8)P
zX>2Q`fZV22IKN`5?T?E}MFb0hAr*QDTax+H;fVC&Ba7|rKa1__*0wPvEFoh|?+4`T
zXx+C{58j8bV<quY7%6q>awQloT%#;%x1>G1V#zPoSu0b_dKbwxI-;nAC%vFU3uP)C
z5?p#5ERXW~6&cDfnQd@`nBCBlrk&z1t>F34`<7YQu^AhTtrj!@rwVXmHNGSDvA^jZ
zQfnbgA@q+N+qGmaLbw8{7uQx!jjG8`9b`Bb_O=<Td#4-*q;)Rdscf3~R5+-s1)OTW
zKAMg8oH$Njsi3(J>EwX0jyR(ulca^xOwDYoj!8?qXHU@3xkb3KYgRf4PK^|?QogVr
z4x`1~gy&lFY>ye$e1IH8YChqKk_md{T$Ijs<q*!T<?nOQb$oTjr7vkl2X!?6G`cLD
z%ekH5wmViGV&i9k?9E0qaX%eYJ;`-K?toeg`P3Vw3`>(Jbb#<Z`Hc3~ymRR!l&8NA
z{C3f1$W0*HX|_eQp8#BFdyQzkGaz6^+i_#zNnoLr!p4q$!6<c1L&Rv!iAgKc!7XK-
z_d(<W=QQ|mDe58a$Uk}%P<L;MnVgE<NTgDNLuoblVP{Ze2+1>Yb3vN=1%r1qpiz9i
zTCwRYZB`WUX(7c&hY{4%4pr)JR|Jvtkx>{2@CaY`@}E2G;Q$D(^Rvb$<5w{FnYmYK
zb{17CY!?+&s%~qCy22qFm`!U=csC2jvb)p5)zgm2X-{nzPJL%w$@F-GAF<rN&dO09
zddVoYGF7r~4k})ihrf@P&HmKeVwGO!88Q4Ze(E+lYibk?65Y023(%RI8&ab2@c%G6
zzM$fmFcfc@@=6jGu8Ot`NJ;<NlHmI}QVVmEm(M*06F#@t^65UryH7Fj29G~yLUVHJ
zh+JJdNlX`WPldK9#`~^Ep3UzZ1?)$+Z!10NYcziBISoeQ)Uv^V;qp3d7l&6L?0N;x
zUiJJw&ZMG2eJc}$?BXUp=swB=Zg%+A0QM2RGyfLyOu4*y|KPx8ER&xmV50MS<HhZP
z@sm6(Y;CQ*H)dmyuh6aY%8CDx$fz-3FJB7-CbOQl5>%#O738m0ec68>iZfLg2li7O
zaQvk44meE!P6$HV^R+X=Lk?Fw*9sTvtfo2p$t3w!+;Inaux_)vms{Lsr5pO%pmssb
zu#-1*O@u=${ZEDEilI1<RTUMBwHbNXqJ+uk2@X0nr&MSee03Bc!8pvFp#s7a^ez6z
z%~9X^SM74T-^)c<B)cS&83S`Uc!vo-jNllVCR+?MKT=UUl&jdIA#Mh$=P9`_G!>0G
z;p;U%y>5LvyP;tp<SN$;LAU(EpAExsw%xO|wFR=c_FZo$E9k8!+Y8;t!-rpL(8vAc
zOvD;oHjuy{x8@C#ywIOH#@0?w%d&JTUB9!%T)El&Y7aVfIQxk?Lkv=9prxA(_%O~l
zd)PEWCVxN{%5$RD2;XkKr$Z*SpfkPEjENt;+;#X$*fBK**`gf!l(->R=GQ^_HL?XS
zy_@^Sqr}m5n|5gS1^t8Cs85QJ@u9aOW4?O;_((qknv*j3R4~0`@<SV3L2>1VLta;y
zQuAF4FF#u%c@T3L><e@svV>eXZ5XSBoi`hhd$hq~%w%X_f<;mN$26fj!!R==8#-}q
zwkkIBIx~1w!;9Z9mB7VNi<^AK-Np5eCT8q1|IWk|3IL%UcG(wETd_V-4%;t<FEY)D
z)KYRQ?7K9+eS&$&);&qp+}U4D8Sn9Ri$oPn>r&zYTh#q0yH$bJ<ivMu$%%MXY;&_t
zb=3`}JF|dTwzkjslHdvW1V8Eou`1vVQ-)|`rDKY#w3_-?p%4P)8*-H(pU`7Ln`hMn
zPth)eiMv9tt6qClhLtvi0&INW&ev$j-sn1N`0RgVg-{+aWb7OSoSyFZ0=Z6$>%xy$
zk<;!is>-jmD(%_Sdg-JVw9_$>yp@;=?z$5<2Fn6`jE|6h8B^a?P3I1c$v}r28GH$p
zMnp7dd78i{TXg+MoNglFk+i6ur;GH52jG;iDHaL(y|O2S6@C|Z_l(tpJO+2bihD4Z
zvF)KMNfxh>mbBlpji_z8m(~LI-Ca?!&m|o>NY`oirvVnK5yEYgcx>C1titQt&Ai~|
z?O7dTrAPwSJlIKf{&h(SgI=?9Zta>O4I^WCz*XBC<Fll(Hajp|D{QB`sG8Ou3f#>N
zi%NTC#&!Z4X44qr$#Q|NcF=g7@h<yct^7VBASxfnAbTrjmF-OzE>ZIXFb4)cp3~pL
z7Na%n9f?(fSij%9FC4-*u^=l%{R5rTpka4V!LR*jjBMhOZ+d66n63370toj9%U;Ae
zA?Iqc*02T3cD*AyBCYKnGT!MkJm#LMnX0?M#<bYu*b5EY_a^(WQ`c(ks6nQjy8e|S
zKOwmnfZn+bdu3(hR~B=pSH+^xE%%kAkWXn>Z{9R6S|Z)K1^^Ny#c4%K(~p?9{224g
z+m$YpKF7=6Aunh=yi^(z(N8-iO%Mt132*&aOE;~~wb`N~k*dTwO%DbcOWjZGsY3Et
zGWa&kAXf@8!{`^7A08E~JlbFmv4gFvIf9+Rt=~`#<-sKxxaY8WQYK!v#fB!G`s5H-
zB~0(b;xP#<vL}_ZslA!8)S(~^XTt_RHr3e*Ixrh6ZgQzuB<R#7?Tsa0T9PC=lESSH
zg+^Wo@9war^s@c+)&vQ{+z{r1#YR$Dr)mCz0mxq~T#2}E8gFP#lMbIXyxmsNvZT_`
z_H_DresnS?ABg{OIQl^uo3N`OE9Od8V!Suk(XOraP$ApvgjQ)ht6WiR*dp87i2sc+
zROohXuB-fvJ@c0WfU#S{w5roU7;=`lx+3onK4Z!lil(U}Go`tGHP!Q+2+dwY!T}|*
zy^jZ^7gOSMG22!DzJIG|=<|wlO44l54xxZHMrYlHV;SxXVv6sp`w*Ih0|Utqenko1
z9^lRG2cpYYsd!oW@fe`qm=AYb)NT~yS6W863J8YJJRh7E9toqN18S0NmI{QCC2x1g
z@>7#g>@D@9k);0Go25{ZR6p+Nhivd2R@9BTw(ffGWXYzbHR|#xqqNSqob-|IP0CX8
z;F)BDBAjZ$#(^EvJWnUFffM&PXTn)UQ`}r$+G$~5ladOxYouib*&&`<iGzFbSGD~V
zXR0{yh;m{Xmn^zVSOdd3_AmfN{2dkJ5-%oTZ$G_zuJfK;|0WML@}0Je-OW;C{Tu;E
zJJ2z5SkcnAMmxYP@&qZW22F)1g3IoQCGXxDoJYkI#kj?G+8E+nbmp4MWhPz1)U`Dx
zUYBbqPt)XWC@;o_g})cm9kzM#s*XzFm}+9UaY^jF(70%4N6^`0)7lrCH4SxmJ3{sq
z;i{Yr;=(1S_r!LXI-t<g;fMf9(bN;7YMNHX!l8(|QOM<EF*mZcpnZXZrB}{vs9l4G
zdAzmzt-<RSQ0df{;h@36`~cI#uGSN6+lISCE*wNGPR#4U{hBI?kA^O6-ZAe5tHoY$
z{~rJ~LCU_(jz1!UwcP}F{qGyQDMmSUX5RVir*FPt;%LQzm%1r2Foz+p1%@k11%bg#
zpwHwro<u-)b7vG~U-`r<n8ci-1nXhD>?S+f1Y_MYKF9tWop-WBQO17EM7h?nh0QW<
zyh_d(uwht!VC6Mw_=*EdSq{6%U@#(Wwu&D&^jt#;(8|o#9C)3cUwZ?azP8CJ#tD5G
ziC{TWhk(dyT)3+YFp%UmY5VX|LllC(lG$bs`L4R2{4-DPk^OVV{nGIDx`!2EUzOP3
ztK?vSLYQ4qF2!4^>&agJm)AP?zdbd(N#189Oy)^&aS_qVcdhJ;$#{1@dF7bD0%S9P
zkwiHl00RCdU>ni%cd7kU-gVbqr~HKJ%geqw$VxD8!VNdvK#7Tobk|*X(axPaJDpNo
zTucu>_#mBd!U>&@$u(Yk?KP4zKK$@Qs;ID=Rp6ZBTkO(HFIA=(PdxEN<6Kw8nB<v0
zeL7u#{q@Rxqmj`bNl#B#rWnO6<j|o*T@Pa)1p17?u;k&C6q7~k*l&-!AOnZl38Q$>
z^xJ?97#^K}8Xdz9jgMGc>F>)H_UJmNjlP-+vreZ5esTTBw?A~(6pv|Qa_jiv7t%<6
zIZNah;0j(%v3&pY+~&|-@hMDxIO}O%brM6%_C3RXjNbCd4+nZqz*_kkSw@)77o|o8
zuPn0%HB&kDc)iPmF08z(-fi1YE3%mb;yp1BWZiJ5BVWocN8HyKE8$4|Wdt(x(KMf(
zRbTPyDcdBR{G=jw^d3(McE#hyL+`Rri=P>4iLvRuVAe}kIY|?Z63QFP*m1p0aVm+u
zS><LF>L&8_zPH)$RUsW+a20>gquKYycZ^)3D0^%3?Nr`qo84?22vEct7U2HoQtuN-
zUe6{vZQ}E8USX$Az^BSK002M$Nkl<ZAjur=?@oF^t+ta>Rv&oHSaIi4gx_}$H|{XX
z%uN{2GlOkrK8-|E#JqAWB}UA4Ip@uZA7|vQY}`vJc0YASqD#cJ|H<KvhnDm6w1O4O
z>FfvNd!$VtiEoSzhuq5xF2!Qk&jk8gUh{`skQ|*rS55yHua^i@euUO@Kl3FN@XFw$
z3ohf|u8AxwHj>Qhe`E8*fth6BOU3#zuRmnyeyslBxirgX*6NSQlCi+3v$evcAgd{1
zzh<RGX0w3h?-_Y5S@!d+?L4XJ5~5npD?wzgo(9vziJlhG?RnwyWDI=RUstMpFUiWX
z{KR5)!6~`tsjZm)eQfy!BuW7ZQQ`eJ{FR$9T-8DTl{Y$%F@=J>ChhJ^nJtYcH<^8L
zZL4%l;wsE2V#^U1OO=#)=vOxU!jS1zVu1cNvLyj6A7!z;CC|nq9wxf^Dz9}{Wl#O@
zn|=SLbI1RdBEw_pI}`5Y_lPW2)QbHtbXO#f_mV(NL=;=)n8pgr9ju(}Z0$jcpUkF0
ztD6r{iG6ZKFE82YbbrVJ7)$GfwO0xLkePc`0i3J|^q;iQgBx(@(4j8Ra`h+XntANl
zu}=QRT#uXg#hjujt=6quM|<|{p{lAXwMtEVl#LlP#+<cNJS8QCo`3#%Wj1m3>eaMy
z<3<`cZX6XA@nD;M#hBI2Ol@;P<HwJurAwDmU0oe*-n^N_oTG$k)27jg5$4fR$62Br
zbX5>Kjv@vE{wHwmgnOwVX)68ct5ew#Ex+iwgfqw8PKBAL(&OJ=$j)ImxE%G*Zf4v_
z%Hx3#36VU2*^^oP**v%?WoRe2-quWBY<_Um6Er;KDC3kNJgC08yt9c0BSQ#8Wai}1
z<msxVS#hI6pvBHjJiMdXIU!Jcjn!o3L2`?ov9<nNo3nO(z4EV#M)9m<`$`dO)rWk<
zzUsuh+N{E*ziJaeQjRwRG3M1Lv24<@-o3D|tJT}>mi_+a8_gzBauf5F!*+AsCT5*x
z?8?BZetDF{jqE4PPEzGbjVUnlih$c!VQg9<jYv6KT~2%-i20bP@F*qgi1YB#smIdN
z-LLw+IuZO^n;z?sMPx9luC<KzR4u3Xwm(RR8y%~y{C;tJfqGW*_`<GbGJjoPOi-RX
z{zj!B)Mfr}%dd5mjvIC!4NIA+_M6(O*>vY`jbnk19IW4FTw?ynpVGIb?>d=wl)9(H
zB(Tz|jt(|B6l+K2U&?ux80U(=y{WkusD1G}c9@l~T`9}l^*=dT%nGgGNh8OP_%S8N
z<f)IOuPJ+-%{m57xvBevTnoXOK!3|?{*Vjeq7n@gr>SfrlxVqgBfHp}lr@7coANK^
zi&AG3Gia}G`lH?r$*n(R=)nxG&*U|RWG#Q+MOpTN6FTeR*U6IqBO}dP`Gpa;#Mqy6
z;@eCs%H(K_V{!~xB8~hWBj!Q**pVKy`Rl;e{l1%)?(W+8?6<ADse;6JnGT~;$0!qw
zvfpkuOP*ynW8BEhw4zLor-__u4|?K@-Vfwfp2H`NzQwqNUd^N5J)^?o_?^1I?<;u*
zg1jb;*3aj0<3}3|0vQ>Sm`7JllZl&A>M~o(KjE>6jVdmt5Wh3=LF4jEcmJ6V)E_kV
z105-=-$<j<j#CrxjvID9E!q8w(<Kw5V%em6tIzV9Qz0%pp8B6;TUq)ZojG=qVx^VL
zGFG|jfJve6QXY2wLtuDHAzfbl1Z_I}K0UGW=1zs?^KZfx#ZM}Kd5?T^WvAo*NbrXo
zfUz`x+zCe+{*aj+r47!QUUfQe-n@Qmz@So=^))3KXc7gNe0mbZ&zLB;<kQn2E8J$z
zoT)xNEd%HIpTN+fI8|uL+IIgJK1fQG??-OJ1XbIj?9*9U_7A6;NAS$O(P?v4nyktQ
zl(Nj}qJ6w0GjX({tf{Sr2LfMHGnChqE$!o);Bo_rz`Uu6^wQ31TC%D&@YSm17n!)9
z*sgQf#e5>0@3B@dCQI5W>bSMsG%zDGnC-!ma}g`uc!n#RWU~xe$b&iO>O)+19?y1m
z46Zv4m|`ZMS(efFkhSbTJWaEKmo<g64Ucb38T}K@%#j!07V_8c@5~{m(SpL?^8m#v
zHq-M4`x3~ap{(@K-)*V&7B(rE5$8~d$!Zx<P_%cn(ecBsA^mbGd9xCRQgw^%g<SUi
z8BQ8?3(rFRi&_;iEM+>KIPzyk@r!r<NyV$1YgkcIO>yj-YHY@dbk^7(&}Vy|VaN1*
zPy7^)DOf;bGUln$mhXF(YFiE}XW-Eh@ib@XW&G0j32muZ@29JEUCj6?wt*La^#}9S
z#%7#E-{BRqNzu97C#JK))NVeDGl@y3-PN`gh3T;=blR9Z%%^g{xYTK1Od~DX^$az(
zw>YKyV@Lc{?5z4y`3MtV7`M!Ri{9IIAJw%SqPVD3_N8$X4-gKcdzT)^tIjsl{@S%9
z6FWwx&Y|y3x|3J`K1or0@6Ii}S8b(EEB60~8cc(clIBhSlYA1Em%gf$Wwt%r|CPMj
zt}lZ4D;_?4xVltT(|-E%{r~ja??qqK-{02=b$Lw&9nLNMt)VE}RsA)URDH|8`D^@*
z8s!Z#0(~p5aerf(K}}#%EB&2iD=V)g)5<by<5r@kT7#ywWiRW(Qg~SuKZ9~lWb=(H
zh~h`teA4P%abtDN^OpVHDj&D}TvM{)a5lkRzlALPY_pd0yGu)>=W}~-BqK-MO88G+
zlgUWmpZ1(mjLE8(x>lR)F)8~TqjsBkGLr=H85+mT<hebk;4FUjeZvzY$I^Kd?l<yg
zB{)`68;O33<Rwm`6GmLb&)fBC1^)bzH?mwgOO;;VTFw(y-dAz6-?Q&byq`YV`4Fx3
zV6mkqRU1h1n$*8AfHK>H@xN5&rE`-eQ(nSk!wP^*=z4q0JqEtB#@(c3R-GV<$}`7Y
zt9RA5gyp2Q2mSvJBZYsw<6)&NllWQVe$DR}BlucxD|6Lj(vGD$!>;Fk@F0D#<Cz}I
zYu@%hse{ORVlksA$MOERtNKf-WV7^v3ghR-)8?fOAuXE;+dR8<kTLA1SXP;dlGGdu
zGfz;vLlTRWo1pF%T$s-t3~`L54TifEx^;xIEOhTZS`GreB9O%<7PT$yB6bA(&bEIz
zl{c2nyhVoFY}FSei%E><osI{?&ZO)!jb{Amt23ygsc+1V85c!lKoU5#GjJ;>TpMhy
zU}adoO<86&`H|B3tcTvP4T#79P1QP`%;p%`^jh;io|T+Wmc*H4nc{vB+cNSuWL<HI
z<2*MpYxxqg47-&FfOznQozp7^^^&i74|N>6(9IdWOIo+bF`Kw|CE3mv8~qYwm8^VR
z!^b-w<k_8v*#t&4fA;YUcD_=i{b-hpa?*a{g2Mag{?8pRoUY~dW?u$cu9{{WY%!N3
z%8$?YzN(Ur@NCcx2j5};VVA0bf_Wo;qWlq<R}h)c?MYl#PU)cil<9rh9y{y@JQ(l*
zy}SJhbFyFKS~)gxvTf3aUkkSvmcs*S@-c@a{9XEZ=L0;D@tl!-;l$tbioQ5wKb8mR
z=8wGD*w>MD2j8bgH><Gq@!o7-+i)A*aMbI{r(SC8Q2Jic-#QgHE%#*lqU3E}_4a>s
z?erIw$sI96q)id&6KY$^c!l7f^sce>rvK^8GD~}3?P|(TvYEsZb3!}1Fb}EE>&;g8
ziKm`=$|z=M<uau#GZI2D66*5WkffpNcUx}#%F-9<`E_@PU@t(E-4W<Zd5zeArM2b@
zvZT&q^Vje41SRwObgo_9L9#aOB8#lruHfUQU_JOESrUp=O4#W8Oh+71OVUwf&EN^T
z<trVDZerF$FR}l#E7XK0OTo>&-pLlMZ8!RTg46oFO>Sz?^Q7S^qm5Pm#|*u?Q$h7D
zhv|P?ey7sE<<-qHDMW%<L8cPy|KyogoHLtNmwjnY_Dfvek<S==SEsT%*c!uIoA02O
zBP^G5*l_qGI&Sz6RXjgw3Z2c$leGsOmJQT_Ui=#f@|sj%Kc6R0ncR!kbbab{p2+4J
zL_U6L{Vh~lU#1R?N*znH@~?EtCNisQ*mUUqfGNwiR&JuN_CCRGBy4?HOq$Eb9OewY
zUMb6ZDzACl|MWG#<!7T=S+-*TOZreiwvAOTzkdO_%D^vlNTTigAS)mXGiUK?zR#R0
zJ(1mnNRTnLocL^B0cq>UPMHSr4#v_3@y!cx)%7!@KUbE81-OkU9t1!jND1U6ItCEa
z*%V@KVy;t5CuE*%?B^$YUR{|K9nZF!C-Drc@jS>EYn<aLBDUs7vY<PjZH;HeXYk9O
ze$8`#Ml3t39hEkY#$`;V^te=hDeOAG`%;`!WtMUx*E`d0{_Ze4z-?teJ@IV9%3biL
zjfqils!VOOK0P*-CS*=yvtA?kIvKnwAcf5}bmk+okmOv~AT!D39QjCnb&z--o2HPm
z$EHtod#>b_m4VX6xX5UAs+^}eX2hlG;*71NNtwe_MpA5K=Xx3$5%Dj9+Wl;L@i5N}
zUdzg<`p#unu2Qpztu>!J`x0ZnVjUZ=;}vCFZRg0K4S!_6W8H;ht$0VJTg+y9tfoPa
zBPN9vn|ABias!blP|Slr5$T=l<A;=p=-z*a&DB_0`ZCotmztAQysD{${<HRaR`~o&
z?aRQ%6Dt?8;>^ZOX7|ZQ_W!nQ0V}B9R{1jQzYDEL9K6hN$s}eS&0Dp@|K!!N&3>NF
zqmP-ldS;=RUi^H|WAxW=E_E_*_s+J5cooy1d4^)0I<38<#W-D;+t%)wL2j;}IW8x)
zIJLue&f0@ZX;tYfs(kTLCQj40v$EFgJ8S;PTl&N|h`DV>BYP2PJJO==t1dzqO1m~5
zdXJVe(}%x0MGatxsX+<yOd6hgl+NyPEBCC;{=I3Hm6sf(?w)*Av>dU0pM|fdJm!m)
zu|oHOFHWJgWp5b$OZO8o^YrDO$9ct{?InC?)pj<Yd>XHe`$qZd(D|hAtu1?#{`kci
zU9Lpb`91YNU9Vl0jseJ3r7t;|F4cLk4LpJVlGl8Z3q&>(rJl$ULz9P7EXy|j2qHJ-
zCrvVn+QGgkMYb`^Mf#wuS{cG7-lPsW3E3WfKK7NoCbHw0^a-jyLy~x6iw6_GUDe0c
zKa;OAv}S{?e+XFZN-$YP<~AIDO(k0^7dsy={gA9BJb^*XUTZmvf7h)Cp0xQev&$3~
zUO{XG`*VicZO<E>Zr%BJmho)zicuCn&n%Jtm)Rns{41}OH}0qP2mecACfFQgUsjqu
z{MDJfvfuXX{Cw}5w3t_EiE>Imv*cMQN{Yw7{jTwxlvO<vv~1LBl8q$YEEDKFk}jde
z&Rte6we!a{X!%60FZC#`ThH?1xwO(WATF!DU)^vE`?0E2r?<J0*W`d%Hq-TRt*gq{
zX1m|IZUaePllryU&16d4A3@7gQkHOO<ad$X)yru4zULIzKY#r_5}$TDjA0++@{ZhH
z(2Sk#zsq+?m(j*@n(mV=`g^Ajdf2|Y=>heQA@Z{X-A83xQnQjLHQlb#dn2!T)Bn^(
z_}}iTjXJ7iQ|UJdfhRD8S3&AfWS_jL_r*`ER`^R=e)2?p$Z6}%IFtDVU*!OdrC}`1
z+<!tTZs8wf8Jj@>0TA$kfXq~$H-C<rC3VsL`BYGp=)>8;kyT84&E*vfI()SKetLh$
zQ+k)~oVSDrB(jYCyBANV`c}u_u?$FDQuHVfj*Kz#NMwKAI(mN1kJU;J^MOcK)?6_0
z|EQS#sf3AnH#cF?C({hGQ6e~8F!5fVrE`i?P7$Kt-nxjE?fbw;Us!xUP0Bt?`7Hat
zkGmiAJa7EXG<(>!#`!uTg7U9EE@olf_QK?C8?$+U=;z1UgwoG;KT6|S(U@uCA}?6d
zW>Lzyu2{LU_yHQhg8y%p9LK_~V?~qr=U6!P->Pb_Y`B>RdOu@(<UdpV!tFk+biHN3
z^yT%pvSZnDokW)v{gzG3Eg&&3`2`Qg&tpG0dL`jrHvjUMuP;}5$FR?&i;Es%Gi5o(
zx#oxr(7wL;A#+mD$G^ReS8TD_88O57$)Cs2+~SnLwmCML-?F&RH9HT87#C$FG07l(
zi{txe9Fs^)JfF`44{fYa=`amIMBA0H-kRl+mrqgXvOg<oYh+D8=Ya#K>-KP`@Q$_A
zRC7fA{(jd_zrS2_UU`tnpDZ5G@1P3y)l_Hty>hK;8Z+<U?^|Pgv+;eGJgHoU1n~{!
zuOPFYFPrjDRop*UT*NQY+gL#(e#ttFK_O4q5`S!|tavZ0KjbM(kJH8HL$iHmw7HP0
z_%~@{_8BVak6)Z%%;q)c@kji@(>AGMRvmbU&N=lQzxD@z)UQ9wkp3(aC8UqE@=7@K
zv)8p=5j+4d%7ZZ8R<hYIF&AkLz3G1<C&<c12@iZemqei#$e{a#`PByU8k>3QV|mS2
zxnM@#d^%_RZ+W5(Kg&!(%&EP;@lO6dtyQTqDeIQmAFH^m%=m22>!#eDqcQ>Ou6f_O
z9T;7_^I^jxf+(TR7;_!_9lXIX)hMNjqFPqSe$1;#_4lGL<h2$akUeGetxj^F)JFzy
zKicsJTD<E;*;S#t`p7e5OZhtX>Fb*et;-MgZJ*0)d>@EqeiHvk?uKA^@&)k(IjZxp
zdO*&P6h$)6cQ%_=7XPy1zpTk+(o$D9P|DHo14_<w{_XGTRBw+>_|-aUtZMiB^I2pY
z@jVvLW`^rpDp+Q#P`)zV)hn8r#zw^0o^d9#a`K%>k4vX=e)rLnU)-JVYuYc4eN(;L
z%Dd7d-(10RVG2)pY3Ju~qtm1&*K%dTfcO?|J<`hWvW^K(uK9Yh-{10@)LB2DS08wn
z&OY^QzxRora2Y7)$mEb1?xW${Cu_Kmdh+esoxCRP>1qEH1<G$v;)$0W#LW0JYwu9;
zK>d697kl`*+N%0NsE(xx^LtKQW5_5np>EOQqm1`TF;V!PiGMV1!B>0#MXzmo(Af8O
zoJpVHs~mu_G>oO`zSAGu2kh_p=6AZjt_N0@^)+!^4+MgQfY<{!hsms1(V-xDsFR{h
z(({uXN-<d(_TyP^cT$u|K3R_b(_`Lee`pTni>z|`(X8iaTHZw-6=ia+4l)zxmf7!j
zQk2PYv0s1T#E0qhG1utqK5xTB8Q><!V51Jcw9#CinBp)i%4EgM-kNV!v67yh;7~wH
zI}5W;Rc$KHnX50Ywo`MzW9)Bd<!)wtKAYP5p3^{(&LCz;E-!xE5Y{AJJH3{{tCL3m
z!cdgSF`2C=VOs87x@N{p9u;LOQ;7X5S?fO~iPz|wYCJ2-q>#oc&x$fRE=o30q?r|E
zk}iWM-YUu@zYP3He(|#rAVt~I)zuUpA*ulX1{op}1=p_X9m)??SBf&ZawRjD*~?ln
zu4^M@_)}4)%QbJsw}1>D>)F%hW3F*o4HpPSnJ5MSZ{FwhlcS&ERlbucieK<$1;<2Q
zkufB>$f!nRo14{+#?hWf^!IGiQTfys03TpIui3yjQ~GlS51NX<iLMl7Qd=1$ls;R*
zeOfC7x@v_t{V$hS<(x3$Vr7m~$`Uh3fmW26`$Sju55;4BDX;k|7l@MTqREeRQk2Pk
zlF3dt&3@103i$5sWti9!@UViwJn8ED)BmiLx~>z6#4OUOV{WJKO<rVNsxRcVqYJKZ
zk^}X{#nh{qbt}#}Rwq$+_1Vh4BYl;jjlzRGqJJ~`w3#xgO%!476lGEonQZ4tQ6|Ub
ze3948iZYeX6P-lX^Hi?naSd&)wsKTi^3?Ee2$Z}gwG`P#O#RBLEHRVam9ndanTovR
z>VHWT5+WaUb#8Boh*|7%HqkH7SWgNNeGPg3N<M!p%KBSgllJNFn#gSJZYEi22BErb
zVn0<P*O&8mxT}8RtGwn-{}V->$nMun|C@n-<$+g?cpxIWKLn!e!Bl2$Vu6#4BBmC{
zXUs5~FfsddBQBBr<f+EKFXK#dlCN?A#?pu|mS%LfK9A_%i2gLesJ=IS-f~<J1cHFT
z_R8f!(2CwQK^%>mLw5XFk{Pb@(o&dtqWO@D=d<1T&E;!l=z<ooqjedCkRXbe_qIPw
z;k<I{tZ}y~d)Xo^oH6cp`qv8EjPw(SUuG;r7c&*FZ~6u8tJy?DQzj|JS7dmsDog)6
zf5NYo-xk>y-#zbde}K(}HPXba`D&m+%AYslr?jH<O<qmq`%L%uw*Qq^roF%lytkE7
zNz7`zvi@g03%N}Vp7*4Uy6&>w#b$!u+<Yg`M$A<vJ~G)vh$yrqOwK-)4%R=T;z#A5
zZzvDv47-M%MSr5wWyWP;=BX+!rW`6*_?Aye?JA0kNTCmTW^!fIel}-$6wMiWtx{}?
zU!IAX(`o%7n_^C#Z2u>-tKZo4OZGprf$K4qzCG{}E9heQKK{<Q{wg+Qw`BKY%FM_a
zV{db-s5F-u%<;L!iL`XJe`kdTGcRA;79QzPO8a^)^81It{1MmkEZ9Ugmo}YWuwQgr
z=$Cu{>6Jpy?a5vzhAC(6US~(ffD<@6|5RSp{g81Td49aR?OtO)&=HHv%5%tTG6|_~
z<TYRA0-0E)EfmPA|NpWty=@iCcmhr;oi+Y0mQiM_$v|h1`z8Hn-CaI+ojP90@z9qi
z(b4(eW8W~}SLeUB@#ic*u4Cn}ZMAJt_R%yh{RDNap|yhjnf;LVuusp??05IOlm4QV
zcvJH(WS@{v^2DXxo$3$>d2K0M7#Nv4hrZeO6s;-yFV`W7X7FUO33lHl^LeHJ>ax!}
z)kP9q>mxIAeU+iz796CBkk<lxW5Xl;Ke;KeH4eVg2adcZo)f~=irwI&Ja}95%VR&J
zglJyvY7g5hKIQS6ReCpI+x((<R-&@PK7>PFVqvG&7iFKrzVg0S%B|69$2%R*O`OEz
zWnnzlV#Qcm&bi8un|Zv@49is(!dRM_4&vStz=)H#q>v8;TnH5KLtcW`e7hVD>Rnlu
z9Uo=0ZNIbX3!|-*vTY_0wKLN4hV3NImL(L}XTyw6FJ%8_6I9wBUNQC3hI^@&XEn-<
zs%O{SPU0s>!uX7nNM^Oj;ENtiIl{`QN4`0i2M@mFfsQKW1oi8Zr&NCZPy9Me$U05!
zN?A{@`Gs<ZD&>p)`epn6t&Yj8;*qJ-^=UqB8`wNsNo@%$vTUn}YFiGdeeHDB*EX6j
zF3P|sR^Grf@!2jvE3URxY-FM76QzWbd_~#ks_Zgb`sn<H#;N&9#XN95Ozls~o}&Z^
z*;#qu6(i5%%dcjiHs`RCa0w5nY*VI%mhAqEaXd4Alo2;aKHPCX58AxXb=pT??ENp#
z3T&tOBd#=Ng0EmF+A@$;$~NK4c&6v`Yky%rJ*49L_h4>uvTFCzRcsOm!EXeFrwqOn
zOt$_0?ptH~4*Kl^D99@UtIOV^omF4D%`0YO#dpYCn;&+2+#iYhzE7DoRt>zMKlp>H
zf69o7NHPklZ7HLtS6#saFYAo7Kt*()C_2iqid|m|@>;q=5omeMSGnM%kvA#RXi_;b
zk1Z2^YIp^R$XCy-zESzplVfAj=gFo=!6uh%G0xpryIz&wXg70q-0<s-W1=V%lZDMZ
z%U|TL|82R`I5sQ)Vk532fs)rY9bV0*wP(_+8~>nI&a6AQjGkJ3t1^o%*Vg`Wbv^Xf
zU449&p><iIu!X!9*t-mQEwFsOExo_xHL0ih`FzCM1{vPlo7V^VqIu$*1o68kK5zfE
z@<%)g&HpP+%}vq$A(Uk^;W31jUpi>{tdL!Ch)>mV=~E1=KBD-MAQR1V*c`R5<4nHF
z0T@docF%&bG~GA*V{6D~bLaNQ<&A5)w<TsAMg#;v00cS{$V+r6RaTY0%C_KBl>)3N
zX8|i>-l9DF!+#A6UHK`~Xk7FO#?tYu_|ZmzU-L{|a}X00t9j}Fd>%lNkRF$-W}(SS
zFbT`|KTC(%F1<Ned0^HY%#Q3+V+-h_iOx2+ha^ukvS%lZ<@kHXzP}>Awy}vFPU|3o
zstnYagP76UR<VS}Wt^xuXRwX^?1bTz#4FFtVRpenp85Q1_DgoYN){h#Ysx+}vNW-|
zvJt7H>A0cSP*&o2N{cCArJ7?^UP^SHk=Gnqw(oWGu8I#$v6%^wYrM1Vk50#B#uEYv
z1d2eY%~UR_*+3s||GmOlTDLP$SbZv29F9M_>>3`lP3PaFQEKp3lw?)S`*>BxdNujM
zrviJJIm{BlFZgXeJR7HZL%`Smx8cwy?EkZlcJK=PLoUy2Z?4zdJg%nndRyLLKff>K
zHDBd|Jd-)^F+78Mq<sawX0FXa%dB@X6%~k(9Y0<bTh+8zDay>(SaskNUL|Q&W|Gq5
zMw$<)cp&AqRyI|3(x}U6Y{q=bj2%VM5ebI8CNgn6Pb3qQsOI3VKDmj*jmcBq$k68U
z5C?(Y5{L*vO8`rD{h2L;<n#L~<Tcm+BhP19ZH^E)0>1XY*EikDla>$hB-%|p2{<sm
zrUTd7!Ci75TV0Y+$NWFr{SURGJSrldCyY;J3q2>RW8%l`qaA;wYiGQy_J<@*WFMrq
zaWP52Sek9T5Mybod*Gj+2|!uqXP_u9^azx!Wq&^*7V;7&8ZAChw^=E;WVM*2A3y9$
z<Jg*m@A7i-NM+(CDLRME{l)W2u~g%Dt$o#*k-(Aa=KaQQT5LXvj|Ls~RChKJsE_Hb
zn1eJ2@zdog$lz`ug0F4d&kS{_XxgKrPTN(iL=<J2gvr?_)5x^hD&E{)OFJq)r-|8T
z(3ITs*zx<{Xl(j?b!<oFXDom@`sW1`eo3=fq2?*Lny-?4ZAY5i`n=HtOf`JJWMv?N
zdjd;Wvp+EezY;L}EGt>pK*#vC^nq8H_>y{m$I}C^Vq7DcykMKau&iI|7tYEu^T10e
z^oPC%?Q8$D^$Gt^Lh-iU(kDCx$ZLU>*L;x+#9VYr%n;*N=}A6Df=eV2Q*gxDeMDHa
zx>7@1rOOpr{$Za+jcrxRtan=MuujJVC9f4E70~ymKW~^5?{r~KaOaE7U461m76ZJI
zq1|08RMH@?`TtIbnS9KK%JX^I{*V0+(hnu}x4b4zkms{`f>WsU2|wIEuZ!@t|M{BV
z>x%f0F%)GpaoLfRV6(JTTECtxFsxJ)&19vYm|`50K35UkQvMP9(%!=EC~XsW3fPiR
zZOcJ}F2>S`WV{e#X-1bo#E%3#zft<}A}9(3f{{Q$kt|ye&4KW|#L4QG%7gnr{XSNv
zyho>x{gp~PZukvqD<&8Z)E%Jx@f*~>{L4=o%d=r@0~4|@rWjm97|%M>;Rq|Uw0QtY
zJ7VpA#*?fx&|&?-|9LbOCV94$f1$Jbb?a*z%@^<R(8l!#zo51W&1#15eD=4dO<gVD
z_bi*Ed{ZgQWYFij880~eh?yMp9y|10Ls8axq>(lq`hYebexFyd)zMYco;6p&Deg(3
zDE^8hbhx>PP6dSM&fKXfL{A=e+j`6RUlPUgZ1(zZ$-3<kw|P1zvfl?bVX8tED_1)@
zI%gS7Daq{Ac;v5Djjh{mWftXL*FHQVjPj>&|9j5;@2|Xo3`-f#FBiMqmMPB8a}q}K
zil{;sunYL5ql|qQ?x3yZE2xoIU+N$$845FxW`%vM8c>zrt7`W3SJ_m`ANNkU^VmE_
zX528Pz}awkr7p^8J1luP4-)67@7|UQ$M2(4rU33-I{DX>&28UXy_{azcz*z|<e#F4
zGp|DprF?HX&qkJ6%5q=2>JPdWISE-*+g#&xkM%JzEj%=NJb$LD2_5pgxU=dTULCd0
zm}%>4e~4he0u!=kaBmD_6SiBZocoMxh+&1nxQyv4d3W_XHbK|mnkAt7BYCCqg2MaM
zHC|lzQ-0Yj4e0g!QFvGVLCQDF0Q!26*GLVt1X^D6MJ@<qQ_?!f3ibbO`9HneX)E7H
z*A@4jGW9S)E6YSKau@XKHg~d_yEG}IH}aY&@UEWzoS`TytKUrP#q4eMG7{?nld{it
zS51}Xu0FoX&>jm9;sagDYt&O&h2;!N7(>*wo2a3)B6hIh?3vuk$`Ll3-QDxKt7o%(
zA951%SY8{;+wtmoTFxuB_OlP=-7Y=^<$0DKJ5<SR@-8Vp2rC;)lz&3;U+5YjuelQG
z{eDz<1i$MKXZdNn+rqRpfbRN4S8}|_R(Xj-*uBFP?i1tq+1A1G)oy;L|6KV^*B3^A
z&?NeA+nu}?%CcEje1@^=yNu04xAWwj^#|Xk=|e82sd*O|H*F0+|66&*Uq#bS%7`1K
zEH!N_Uu+!5SelFvI!}IgCkqL%-pFQhKE~37LTClYsB&nv8?6Na5a<PgA<2`~*;Tv>
z%Ju-SVjmEzs32*oQR<qqH&y&V{Z=C_pO>4PSB|A9GlE-;;}Xe<A7|`WHtuC1*zo|g
zts48xIPNZTs9~FtyuI>s_ObPrvEN<9!UDKIg0F4#=9(>Rl4lbuw~E-IX>6p;AC@R9
zzu5bn^53?H2fl};%rs0h%4&;s2R}86mQ`mG#3uP;%P%k-)kpA)O;3W{`wTXznarj}
z<mE{E0fP82<iYOg@m-^cpF)<n(cHHkikYrY;G<bHDQw(dRW|GH`^Z{iGL0#Nj&Z4j
zYd|J4lPn3g6{^;#G;Wu7$}*Yx9X27>BQ8-sTsGwa{w~a-Uwv}4Q$A64oL6`|P0RbP
zQ@Y-f6$Gzu{3Wd_`&=cZ#-`IHMSs_aowoAb+j!_*dUexXPAe-<8Fe!cW}c<;{_5jm
zYI39CSx|TnzvNG&*7gRv{o|QV<$BtY!GX;9OrD(Jm`&&@Z+GcKcz_`*ehj~uHFuYF
zKpa1L^v_95>i%oRLjJ9*R&|ou$P#89JKgZ-s1iK<o0vI`E}ilZdUxw@=ri_Rse=sH
zpEmmYbmFL==_F%2Z-o3_wy_V%OGuQOzV?T#glxK^_$gK1r@J4ax3)ZDl&vEpQVZ$w
z;wRMZe>eXhE#32)KGfybU;QB|I!mnxmy0DvvtO%0pe%FOAEf?9pO|A)K1vz_`^4x&
zdCeEOKz<v=r>&S+Y~)p4;!{?BSG^7Xkk`yB$IPqTbREQRuAZ1w-sFDrh0bf<_C{VS
z%$!LHQ5mW@dB!}o>St`A+!n^BdtV1#AMFQN_Pvpz^?9MN^-5mrp{x=%>0ke!y(@u_
zs=E4Tl8_A&NPw_I*!N9j5mZ35h$|}A)~(vQb+y*5U$rh@YZqIsTD59bKCP{F-xWn!
zlpSQ>cL)RmgzO1f=R5y9bKl%~nVHNalVm12hu`q-yYIgH?)|@;_s%;j8%1Rjv7)zT
z#ktT{dmv40$8L-K{*5NSxgLD0;@3ucqJww<@Ra<$o6%xur_prPh^N#u!gGeF1f#$I
zZoZepk-B*4v-{j)@n4=+t`hS3eYpKT`u50T>ri9yYq&tir1tz=EAz<%S_2585N-Tg
z_jWz$$KyYsdAlFsyx9M-W@x^j{Ry&l<3N0TSLTCnIBhN~4QhwQ#rb>qyZ;}nZ&6)E
z%6bSFzlKRg+j<DZuk{)gukKT8{jXb!N8XiPv`xXVo@HlHmT9W0DQCmx6>2w|6>3nH
zbz^U|HJle(lgQGDjUo<eI09}P!keLEk);KMH>?M>x9PNL)56+ssGY@xdV;hU1O$QB
zjQ|uQ9g|#4YIf0P3yk%gyUe5wIiITCV<pE~DC_!=>BUz2IqboqX+qCybWv@QgJEnp
zmo*J6jgOZe<=+9T&1BBCg(Rh3WLPJo{z$P$`8K299W3am&5X5;_ZGI7yK{yi<YP|`
zf74J3b&kPaZ`~1ZLF)DsUnoTx&R=ri1+Q+lAOFJ35<9~kp0czu*HV<>gpNs2RJcf6
zQ0x6b+hgoG2tu;i>6zDhHT4x9$g6?ugpNQgTPbUDd-bVZPCy$o@l%R9Z64w>=@u<|
z8x!k)o>vZkh=y>S_rrx7yfEmQ+LP{_^08k<85$#e>M(bVc(0Rv>|l)}^y%GG=F^~b
zx5uB4cHyX+(BoYC?X<-_{)HUEruDIH*@YXGa_^>buM&g~CdE18*~v1nqP}~(uJnVk
zuc(l|hl{pYrz;PRv48WaDASGLxmH|}r+58sWj*+XChP|Stp{8zF4p6{9`=hzS%*!{
zuZ7ANAoLIj%Au)!uB?SF_&4*JS6)?SDbxm}pINJYeJXNFwyV<+X0d<z5U(z#^uF5K
zKW-R)S(O0__2t)6Sb?o+EAw%NiiPta_11?NmsqPDs1Pa-9jGrk76JlsE~7SLp4+;K
z{Qcw@`548V{uMcTy1sQn=rJmr#>DvN*ZjSkG11G1{z`=+g)-eA4bAut^KEq)r@2pV
z%SKt>AN3FV;n>Igbr+U;7-ijd`t$VbvzE~`+qY3zE)e0J94k4Z46$Ynyr0H*pI&RU
zct87#SfU&I<Ku^R8bv>!^od_Z8O}ddS*W`SxNWNSApE<3{ypFgY6S;-m?=%%{Kc-^
zO{`>h83h7@?Z@X^#>j_@HYrr_T~cG@{S#T5OI{f4lBq9mhW<sC7A(pwr=7Rdq2<g=
zW+DhQIsz`&ad?sh7SuKRK$`dh-PmeOD?_pk!Q;l9`IZplMCl$Cf)PW5rSQ>Wm&FXc
zDfXP)&VuZXYSjJGrqK6BJis1ly_AsR)(QV6BsK+od-y-hFr4DHhgiAut*V1Z)g6;R
zqSKiHAJlOKhorfPCic8u9n=3E;LvNkau=!Hl!PvH`x)=h=&qBw|G_kZy>os#@&D+5
z&RVSUr|ENG)vW1?;g51ounBs%UfWRT80<w5&l)+(G%Y#sqAt>goaHK<oUX7l14v#E
z0w%yMgRS$%be%#!nc(qI%HVJo!P4@qSFEPz4!DP|9R5Evkd+3&_?ppwv5vLY!qhPx
z)YKQPs~tM7UYHzPOwL13lQa88avpxu>cY|fbfPxw5z>mt!OAjU&)<P8=+stUOAmVf
zHXv-hdek!<`mm=$3CWUSVf@#n)98QZkEAD-pGO;xxc&~7WxeVX$#vOp)1SVcLVsT|
zi$2}?u=Tf=)TRTSoq3zjbHY`b$sVI^<6GA~HnCft^<NgQ)UapW0LI$eD-a=lAb9b$
z9&{hGhy7lKrp5cp3=K4;_vJJ+W2SCK3-|tw{<35$-TnD6dU)YDdV9+qw2ar0uh4|D
z9xT|Jybx$TU@*v&x@gfN>$h>`u7K;K$tTc+7i?;NEmXeX%RNt6eB-P^576u(zf^n#
zlvd~Uzn+Z*meH(%w_1qhaTwLIDwiN>P{$c`;h@_HAygYeU+@2ib^3Lq|H-*RCb73=
zcbd`f8k)u-uR-uIU2@=GR=Z#d_2t*{$_`oGpUydVGduKCMqF2qe3;*Fv#nzp?L3Mz
ztI|gyR36$#7cIUj?ED%dR<rZx<UIa1)f_;mW4Fqa6)BDmXSEu`CM+BnH~D)%`+GN!
z>o%2O9I0t<-covD^%eBsg0bq|{MP2%6%V%S#9}t6^nAbR_SinTe5T^@US4|*hu-?g
zIy5X}7Kd97?r+CBDTG2|TmlW~c$W2@9KxwBqA5a|uRHRVn#+ZQA0{XdO~U&bA=CV=
z34eS%a$H_D@@Y=Zz+Rb5$63zs;<s1P{a=n&eEd^<zn33;nZ7>oym>jR++6EH_;>&O
zJ8q7@bzt4N7F_7&_WDP}pJVQ*A=Uh?vpMHOYt{(CsOd=2R$U|~+aQQ6&Bgm^d7%YP
z9fkVxX6ROAX?1|x0uRTvv^nMH=hM!ep0IBj85xwBnc32&Df1Bonhk+&sU9y1^TnNi
zs)*yqucW>mCb8i8eXsFl7jEK@{V~dVxC6)W|6u!X>E?0&<yg&0%H7;_Imd~}AvACI
zlU5%eZu>3WI{sZ1+Zmy9t{Pc8oR!s>3vX@yH7m(JRXHEvvVQGokKkOlo5WU~^Y^$E
zK3k4|NoQsLL>=mxI+`vX{J$K+@O<60UfWRT7|cZw&wA6*k7zu5<RRSTP7V#G2{GH3
z9ejz-A9x=ph%IKf{nh%A+O9eLI`!Z%n4rss;p4qFWpd~`C>A#yT~_;`t!Dd)4YY-0
zYY*>op*k|5=XHc%YbT{V9~S}&F>JHKvG<Ap7N~@UWaXu`Pmbd}ew??#Qj%40_#P1I
zwe>Rg<C9q?Q_Tey%v89%IZ;jV?2U<VKlmZ+W@;a9Qp49f%%Ok`Wgc>Dv}Mmq4p&1Z
z$9(5SgJ)0MbRt%|5<Esrvb?XQE@=Fh!1HR?mx%L5P+5_2AV4ubfe-SR0LEyJk87cP
zoI1|+v25?*(xHD)RS1K+`Pdrk@R@xsQ=UnvC@Me3AJ|uWDL@Vt9;Sb7ypNwtk5HkH
zycX)biX4@53VEjv6da(9N57z7PM*h}t0^oPIlIw9ktVa?C7Bg+nh+MO3ip_e5PXfb
zJqwPzGTzAVc(nKcdqtJ$Q|sI&@Y+b=>w(JHPyr#zOu|^Yr)DZ|(i5eJD7Q49SDMG~
zf$x|yLa5?(27w8@z>rs>T|y^ro5jzpT(9=JZzwbSus}G5JtYq2@1_ddbx)ou<Q$8i
zsb|f({qLexhd;24RHmFgnYQLE)Lqruj_NXz`lU@)^-z3i!d&2atm(b2chl0WPxLMo
zF>Wgkea`#%)uy5#)<f;H8eY?s>me1-6ZW92;rmgHkYNTPp9u0TbV}~UYwRQ)_mNYs
zDc1wmxi(yyeAXG97=5BKTB5t=dH5Eu11)@~srj`~`GS3UyXfovf2XN^f5CtMF*Jq4
zsNrYQnSE|!e((jA&jZF+TR3U~cp!MfPvi5D)9c&pMdm3XmA4%GR)x48+IgljO3-0Z
z%}&1B`?%%BZ`KDY*Oy=0eR3m*D?g-+J2E>=U<0p@eO~4=&NcYxl1qIavsZ@7L)*`9
zsrw=GYv4-|LQ(NadA|81er8e|evcM&82RF-nD27uW=4I2=Uq;1n2!Q)212-IorgA@
z{2Ka3e{Gq^M84?q6FlbQihsbNT7)qox(4{X!h@bM)oN%|FmI}OQB;9n1K;K*@N3h@
z>pkzSzjrf2@Le?cA*(Uo+aGNI8}l?CUSs9q`Ly=P0_H{d+J5LnX^skkc(nK!e-Evr
z%ZD7L$$f5Ct%r3whmA1*&(E3luLduZig3nmf{~L}=AUAo$R4g9JW^NAbK9Qz>64rf
z7m-*XEDwen%CF%XP-L}Xyi1tx1-{@PyQlQ$Jgud4v?$AGepj5=f%(uLoP#{4WFMU<
z<-Y?PEj{=ue-B=-zWHbL`yqY2^Et2g^R{D)Y-f0O{qgbBGQV$yr^Pe>xz*Qr@wW#H
zv*=*qUp*b!O3kqzLgm+5;(GAKziWQ2mrEpJyHl-aw?~Q#fMX>)z5edka~^v9{U9pS
zw&N=;K#mmcvC6$zrWUH4DO5f{WN9Kxvld)46!bS;?@|0M+KklVlx0sn^%On$;DZ*V
zx88ayJ@?#m*1i-30YRW)2qedOKK70j@Am3!efGObS++6fGp~9xTw`*Z6oP={$>rzM
zoDq+*SJ^lvB!#zHWpx=d24B#-TOZ~a^d8~dfr9<?6nk`hcf@1NppQ{P6<h#HAqZGw
z`6IBJUDEYOMji`S|GM-%x^&2WG(6)1rDTJU1^@EO_H(YG&uLlKo7NcN3HHvGU$LU;
zex+cmbcc<!8u%&T`Uu@tURhGBMJRKutS(p9)xf}Cl6ifBbw}S*f}$lptmjr7dY2$f
z-kkHX5-jO+uwBaeK#-pXLMaEuD67YE&ZV$6`z=;1%;PX+|EI!~bxQ8bt(WmQTyqLE
zo>$i2L+1_H$_Y<zvGS<lT8B6U9+Zyo1}U#DMwO5c1RN=+k>iZ7S%_g+Ub2v^X4joW
z>>;Ts=JbzP_`-q}H`Q!n@0$Gm9Lk4<`-UPVW`aj)Q1k71te`3&;;<z#Ls?01>Hu3g
zzsI3}e&G^?xchSEeNE1z|Du?_53mr3g(R9de^<?J9><Bzt{PTgIr{#T9G$M<@v@T6
zAZOt!a_+j%bv<3*^=xu<yMgnPjnFmx2b)dK{6*y4`Glv=UgGm&2D(3ZS!rIg>Jobk
zWvOhhgm)^Ezk`-%&Gk~soZFA*;ik`b|ItfPrt7iwrF=4vn`J1?vhvr`z)n+HV3WX#
zgD$-8S@{@d`t{ihy_99YnYzNd!e5r0&BBTkYQJY{5B8pW)=~=UMhM&S`i7s;Q3%Ka
z5QHW_oAjnTrwys+;qpWC)EN+<%o+9wdtrUYs|SP%`DEuqwDQmwsvaJ>$kA1BDw}gv
zJWiJkc|>8OPr_LKwf;6sxYCY8>RvYVw=}r(xk~AXcJSahSg?i-86IO}fUWveR%Fdp
z$})t?9o^*|u3xK;#q!@yp!^r(yMIr$JB4T6k*}=&CiJ|7pINSV*`dPqUWziSQ3wTJ
z>jBTda8pyQhe<tW(wyOcQ^SYx%I_AP!+%pQLTDx2TaBNdBl5?*x9tIfa0Jwp>%mlX
z;_p$&g+O!gYoYQ5N|4Gt!v*YFhERy$)xZnEiyoHKU+;g;i=X*)*W=6|=F+5IH>iAK
zI?Q*Vd#?Ezw5edvVmr-Udj~7euT_dVgoM;%fEDp4JO9_qfT*$gH3-ySUi$;~(Eo>e
z9%C$^W2L+3-7WXf*(~sfky1xC1Oo*#o=|yc)v^3n3xSy7|MIS5!xd-F>*U<?v`4Yj
zbvnfi_><MnnZJyjn|?{uZ3e~kcNz5HpyH31M*@L2b8i1*`1mz++WB;H^!}B~kBeQ4
zSP|kp_!vhjV7^jQ8}@h`a5sCs@w-)r`Q~@Av-n$X%Z7`29wDthMQssQlHd7`<Uwk;
zX4l<BM;CiFK_mcQ<nP@)zQ+YB0tU{(-`|JZpHPY%dmk|7u^aT*+nD?7*h51r%etqI
zG!KQXd`7PeY4*@RTm4Pybt6BgZdCj0IgI{m8}C<TDAi^SyoJu{^JD&g_3+ckHN9ZZ
zUupi{e|zz;R)_9FIQTVm^^=LObN-{DG;h}<G%VwM_P85oT?*bVpYQ$yE!g*8s}6j@
z<laAGg_?)22fw%T#6o&w%Oh4hc;oNSU&&sv6KNdtV4v)K-a3Z&v%fHm{`hzp=bWAS
zGpmnJ`I#JwA((ZdQD}<w5G=pe($|BXe>eFx<Ce6lBJO#73>%X&9WhdxV1GBuq>3v}
z(1E;_EJJY{TW~#$((&B|1Io5669`4lgnmQi14Nc4vNWul)=n)>S*AZKTKkQa`8N#$
zy+*|;YpJY_MV2dh(_FdvuCid?>&!gA?sEWZvgc7&!3N4^M%kpL2R~wEjqzc|2Xk0>
z`^?H4RX&Oo7REy9l~-2a_XFW5yQn|4;#$r}5=R-y8O$&gvrx9s65yHFLm7<pzxl(&
zLBFLmPP7cqtD=e$FQJQh&I%R`uVhbx_G~p;QO(woLC_z*o*A%JuyZ`YVMOlvVtBy5
z^ugV^+X&$%jud-ijN>Id=O>nZhXqNs6;u$ne7ftO^yS{UY)zP`6pmnoG(EUrA`4$S
z(h0Zl{q;=`6MlgR%EvEu&s9HQoDiGH){(i4Usa&fTFtR(W8;-4)Z+E|q{IBwn!Kqf
z!$A%e7&C&yR_x#pL+u@C&rQOi=Yl79+r&QP=*0pX8#&Tgsl~rq#7f|pK~Gan;VhOe
zvUgH)S8`;y6c6^cj?@W6LpVg_+UxlcuQXQNSPCz*aYA?YGV^?ln}<}HL*vBsXMquj
z1vLm`<cnbZ3^Jd;m(01?RmuNn6|A?)uz=M<{gY(}X!T*2V#jLGfP$GzBcIoOb5Z}a
zL3H!!Zz_*3`xttpjASp{&pCYL1(aQU)P7j)LlANG$VV+j*>?7{b$L~}EQs%54?5&`
zuoFJmt{naZ=RJI!pDi!)GsU&m+9!6W%ZL5d-kdO&D~JEtO1^&KpkG;GGj(GKj{2sZ
z!Oy5vU8S~J1s=nUG2JfbI#>V5naJWw)y7;82<_6At@{VD1v%(w@m8<rQa86^6~`9u
zdj^{ZlYKp;CZ;vG&-!%G(Dl$SZ2&7VA61uz^77vsZnNIA7qWnFdcWGw5j2J}wNKgv
z`s<Q&mEyT6*Mlj1X=8t;x<RzB4|jEo-ZTflRv*4#!_noekebCppaeGBNl^S+L3wRH
z1~&`5-6!m+Fn`aB%-f|?4ttK&MQgGb(wgjHew*P5^5x#w)DQe9@`06Col>4D_LG`|
zUprECg#V6aE8Z2Joh3XLc<h4q=H1O+Xa8#rE7<Xb%0pWhXeEW9_%%BgyiOcluVt6&
z)5y8*hs^%4fdmUdy@)+`f~PR?YkWaR*K2Ak$}kW%IC1p-Eji1NFps%L4b9Q_Cu|61
z^HSt@u_JX7Ib&Z^ZG8Rb81k^CD0AkqF^Wx5rp|HaEHj_KL&kOT|87nhYF%nRD~_td
zWOR~Zczop>p-!!fHDTe0r#(f3-Moo;S@1L88TcCxIX#g6z3D;okW~&BzlIKD-8>s2
zlGq8JyD(rlz(!$v@^-S~tFL81W3~mq*Q>+nW|b-*%wMCFWyrxefYTrlxs0Fie#ZAW
z$XpZP*~WJD&Bv!FrCQ+^5mjaDaSxBLI;zKivL3wocR<)!>%q>yoBSHCYhMSbYv}~z
z?)$zP?{k{qp`KZJ87s<a8}>Z7V6xXa!OEHRNulxqB1_ZAxwhaHMV97`NlV`gMdH@d
zv5@%*0)jvT5rC2;i$fuVLSPtREfXw3U|?6q1v(c@$H}t%KuxS;XdB8{tP|@fggVDS
z-C>M@Fb3lkh;WZ8e0X~yWKb|dCx3lI(Mg1#P$&r0?0tYJcPT5$(#er|FF8{9qm#8k
zG5!CSYV!EQv8sw{*3V(V$HgwMFr)LDH5Za&(EpI5<3*~rX4P~S)>Lzu**P-|qdteN
zR%`a&&(g+ie9jCn<(ac+H97aQ0)jn99lh@$N82Gvs6w62B+8!8CT;AQR<w>BacNX@
z@NwlOhJ0y`ZY&^*&*1ih$=Qh&zU+zSFsxIZC%+))KJGU@jU1VGv8nJkdNkhKL{^v&
zW$RP7m2J)Ld(<_(8@cz~$};oVFn2gm)D@oc{0(FvT#}m(=6~zcLRlXVWjmd7XLU<)
z313Spa%+XD3#G3>ZU6kubXG9^FOBHp5+eLz@g$xDtB2Uz0G@CVoXqC%lMu3iRv-E|
zhb((S341RZJbiUoRDHCyAf+H6-T8u)($X!Wbf<uTNP~2DODf&n-OUivokI^u3^4T2
zLwpDCz2AR4&pgbW^UJ;0UTd#AE3!G~#<TK{uakDWeGQ-!_mT*-RZI6M+V(Lk@}n)n
zASGnu0`Q~mPp%*_gx8hf;$~jFh)Yo&&9=lG-`TBK+P%LPq*^w!33ip9=OAz)m-PYq
zV^E3-d|Q+?l!KU7#~7IL{9=*;KU*pjh&Lp{l>1)eI#5x+`KM`~lVF%%p0NGPhEC#8
zj*pP*k^DdmwHEvvNBh!#Mt26IuI4hT=~_Q(2LEG9VIXRnbIqEbA&i!{W^MIGq^1Te
zB}guE_jU9OW|M2<S_z6N3GP{Y7dI&iY#wlYo4AqCsu^$~)92ZeAUwjmy8hdJHIH}B
zd+Fhql*>r6hA|f<uJ$k1DM;9EZybhE2{(0JllRnJw|!D^4+lxng8AYN9XGTPwXZhR
zq_%Uc3_C97`6Kvhi5H~~#<l(k6OfZ#7%7z|f7tO&Cf;>t7N}b@k?RUpS95yNhvhpr
z0?%5gYbkVl-xuj)h_oww=6ld^QHv=bWK^#vb<KM;l5#H$=Q#5T_`hBN#&H4;U94Ne
z-BY3qCZkiq?nCGBxdaLk-(e~nzSdz<NK>Uj-GzrwmswmM+<j};2On<T35kjB1Uni+
zOW^4Y%R?<u?sC*yf%+!WzaCv3p)P^t2H0DCUzh{Nzw)5^NY70DrfemdKXky}PS>ao
z_YvJwn>+pq_?^xAY9@^EW6_)QKtIg><T{B4h>0&)^IfVXEeK?k+*704R4uHpSS^OS
zTZZvJWPH0Le&;jxP~qk$aw`V8k-0d^>RB_9x_$@*FxFIeztHP@(J8XN_tE2Lr{iMP
z=wD@`2hXgQ;t&na^29F}==EnXE_Lbuf?hF#5sQ2iJ25db&1MQZ<v~_VymKDK5r)0O
zy1gFN@MA{M{G{ii>V%j|D*5!RWCC~aFuGsTYn@bRB7kcJO3SfJm)Dlp*8Uc~-KAfu
zF+r!~|KTU)4pwfmT{XWx*>F1TBUV%WJ>pEr$0Q__=5oANaYVS3>a;cZ`u5gpLayCp
zAi5N%UZ=(wRYSd*WOl8?Q|<fr!q)NqxiX9U+Y5r;mT$J5H{a`oBo%qmn*gJ$1o8@-
z<;GGFr%C^$MN!7i+<a%CfcM?$z>~J0cZY>20QixN{upYdr*1+8Mc~GjOWyvmG`<-=
zh?f-5|2?l#zioPJC~hy3dpsL3K`E0nR<xQgSFwo&RoFo~d0Y;(Th{|H)y?q{&EE`h
zaZ#S~(!JL|h$^<RI^bW3zX#Vi-YbRmSNqYMvSI27;+e{C60ancGk=Yd(=?vN6I8c%
z3t^Fx2=~(SAwX{qQ;nz838G`|e2|*`m0&aU{6-vAfba1);_t%`wjCV@EFakf%Fijb
z4KKiU52Uca+N99Nm(D~KTg~o8gHy+}TFZYrSBL@#P4Wrvx<^|oP8=&AODwfuAd*HW
zs@r<2aj!}Dun_?{D_*#k{}(<CNI^;UO5o>#Z%X$=wfC*z4Z*}?3{pO3hk4apFv4kC
zj0^t<Hj*~;uY{OfOKOmFW`hlEEh-ObK1@X8hZixVVtn1p$kfuQXf70%%!f1w98w#1
zR=wWm<eFa!87_>w2U=vm#@oT?`8yCia!3Ky)a+FqzZ6?~ea__%OC;gzy6&br=lda^
z<yOAEM*6R732%aF?sk*jM-%D>duUTcAKQ)yy=wXIx3)50pwyoLK}KgYQyr=+jUo53
z1@6d>q-dh!O`IC!+kg(C6Sy?0^$SRfR1ED0y~l@ppn0(;`;8?;KwzfyBa=j&VCj##
z%G6toOub<b4$jYEHgbHC-YVNRlJ|eTmF#`^eIA<kzFac(LdY;S__WN}l}*b_d@CMN
zS0`vCjiN-WH+eMd9>5E*91{m(m_sgGU3P2$4Gl)nYb2<@%pw^ycK@{zR)(o3)AxnP
z5^tFp>b7{(^<O`uf7h|ZP*@9peeG7~FwvIIqEy@8)Cl#ng(&+(IW#$v!0I}%iqc!s
z206n;@E07HyN^}nOuLVb|GIJt-)c}TsWFrfddl3NyR|ox;xD?v%qm%S$kX+FN84#8
zgg(7Iw>?Uqh3qpV<=HOmrT)T+D^ZprnTKjU7HfX$*Lm(UY+yk+N`CqM!K~0!S$&wc
zpAX7b>q?&Jeeykcn~Ih%-U#*mHbN(*Nf#WDYmEq3u=K@;E-I{@>a{xjiL>-Io;a?l
zJy6orBj_2b+Kz7qi8Mp-3lO_E8hpAp##h^`(m0BS-Tlg+<BxXoz9tux#JY1bEuVOL
zY`<z<veI*78CW__UYTG)c!~{h8A4-Xl=y&<<?|P6%jgSb;>T$B`oxQ`XTZ^+ndQk0
z#Xt`5qnT94_>f<F0N7X+8s6_~#U~_e<D)YL$EF=TS$YhJU9UgC9a7RB+zou{f77Eh
zGx&=>q4p&r$<RkYA_cAWqz7{^)v7Wl>+ud6p9V8_!o$OBk2kgJyeSm)IauIyj=l$#
zRkr@jbl)KjkQ`S$?zo~_by>FAI$o)-=kWmi-O2^_;A5PUi@ZRaUZ4x$qAcX2@_+Ai
z>%#<{cE!2P#?^uTUHGX$d!46-z_Jo%VvGpjxoI#kkjG;D;9Z7;oB@P7@`KMe{)?$@
z?atdwH!@IfjO%5st;Gt!Ys!_U<g0LBv|OUAw}3=cMA@yw(c<X+D@1NgmU4q^OLs>N
zO}#aRTF*QMbNDcSJ&Z?(c0%?z0|l@$$Cv$9ED;6`t>-!?UUfhe$V|aC{q|4Qw{86r
zqXPZI^4eDMN>L%_PX`|dtIVcFdtslz^g%Q}E=x(EfZo_n>nhvYdn}W3)&;!9|Fn@S
z#m=G$-&dJ9@C~y=OnD`IejfG8Xd{koJM@^#ousb_g2wG%6WBs1eX`axmZ=Vv>Mq-=
zd9QtX|MF$QwUguZ>*toFr#&(DT%hkX=SMI)+|WaRerZ0oOSd}`$;z4d;jqD+RExE3
z(BZ+{%McVbW$>ezujF|s&)hd%fxJpINeRBi#JEcAW*cT$cly>`US^Z<Fm5eDOTIi8
zyd6tkEbZ1_6fZ8D={YThDHpVhy95X$5PvG?x1E@1%Oqd^8+0Bt<aDhWo%(*l*Ux@(
zjvwyNlz~LSwoIT9tJ<rAyeq;F7QhM_d>OIeLY4Wdof68DC;L8;<vO+3KCA4yI=P0L
z19bVHKuk3sS(e?K1S{9|A7!oICmw$&t~^^y7B#5$UmN4dokHmankVhPT)W)oh<@cP
zJWNdSGa|eK@J_fHic}N8@)hXl*p7}pn@NR+=B)(harni?D6kGYfnd>W>&l^(=~0Ce
zIMJbLhV*AlBeFX7dfijfJl$XSw@TOuQ`_{t%rrU>TU_4BjF+wcQPsCU7M4Kv+6$|i
z9Xd>GSA)ZX|GB$y5>I?@bV^XeSG_ws<)tX;k`g6~hh{^5mjjG^&%7%1z$csl#3zsa
zZyVtvVaz5{@WQh@Z}(Ym*RDFDS}GwMgaibWI6f!OJ%GDbit5l0>A6?tbGwQ(+twk~
z_(gJ&^GPWb(_}GI;w2E!;*7_r2L*6hf(zaQo^v?*_I-p%6JsMIYL2((YDut8E%YNw
z3U~oiuMyLIp<;$?9HYWn36oUXlet5T&pACoa8HnUm5Pmq(x49Gf57$#@C)yn<$Pxc
z>4RZe8Q1w&ISkP%*%%iVt;92k8C6p}_f_P~TiaM6qQJv@v8o_V+F#V0W#35%eUK@C
zEu^iSH%>lE8)0lx;Zc@NXj=SfS7Np?&Y3A$GPIGh;=42<m6fLYP9jxxv@?%zl+*UF
z+>HADNf7@51X;gN?~!`*lRP$i*=h^qM{`daf8`xcZ=zZ+iTGq+W4fNAn$eBDetlyh
zp=~Q|_2jEqYyFwz%B20=B^Qg4tA%WPkxr$ZDl4HFt}(+N7w^_R=fbz~kkwl~L4#Hq
zUWr}WpwF#Wqc=SHYBmM`kr9&i5R+i|kH(62d~97C2z}qYHo*LX$}aEkOFL`D_(L`5
zCaC_u-djlNtIEmW^UvcGQ<vZnqb364{$jbUb|Ff<8@m~WL2|Q7)OdwjVWLslJc^@>
z*kN}So}0Qa#6Al2|LIAH<5trvv-`Zth<C%1V45n>uD)6=M)+Lw%I?W>Zi;Ov|DsqE
zN_a({eO?W>wlx@NfxW)`y$mB`Y#-+@(iz>O#x3xKKbsfE>g=AnF)mxuLb`nyd*g$B
zZR-L@;YW9mKdj$5f&DaNEje+^xPdNc$7pH%$wBbVIAFWq6je>+MhTQ1=)Yg|5oW#k
zyMkuUaKcvqnn3f!>v_Q&)6$9?Lp6Yn^F76rg7b*iA$$FqcO%?&{s)?Ks-jrR2`#kE
z`_n1<Jd$h9LbF)O3n~*L-(zSz3J$eqM2uOc9=<RtxnwQX7cVcSJE0TXT@Q{M*EmBd
zNKYCPDlPEpVINTb(%C30qiHOExj|eWmPyhbEpFnK?s7iff<cwr;RP`_%h(iyn&+Z}
zRGm}S0m`wycbn8>EE*wyUkPw$x6jnO9vgU^Ps!|cqf@JEBxAO3#TtH4W5dLJt;qG}
zjm*81NTchjbJEKs^LbP~QIB);3<c;|noI;SyXMaZL2|k0z*7JLpZ|_jc46~Pr47iz
zb=+|3LQv~1G}>Wj?2XxxSEKN|4UP|vhZT!lDHU;;pzU_^rn<f}b?22|_6)C~-yADj
zN;N$RMe$S#F9{s5?nFYZ+bdki^*0kc#jk%i)cDmlHpkQRTYLOA5^Flgc>nX(zOy`N
zfnO2uSyvTNO_#E>y`guu0{0Em=Pai!+g*yuWgXszzLe6oX`dK-f9b%6`O)haQR1~A
zk!1$6Fz4G^XEDwYWR#Zi0~FI3A_E%GV)a22zx%D=+$ffPvjEhjk;cGQY;_4@Z~TH)
z%L}em`U_`NF_Q%#Ea)qmUEI9O$hc8Un87mm%opVu_%N~&KL3rq_EsjR{{)Zi?OTn3
z`oCjkIi5weOD4@h={k(ti3e%|jmmu0oBwGp-SDY%P0Va7g9F{OoTwLW%lMXqRNo`Y
zCOn>1y|nUi3m+qWV7mA2a~`f1`zR;u&cRDzxo?6^yd9%x&#$;ujPc3H0Ee)@<Kwu@
z(+a>vNu@x73(Rg2^Sv9i_|G_`V>HubuM|(9kLk*USZV%{jCG>I87=gsQ)OF7@jwBE
zfS)`2HUl^XUfJ=HSI9@g$vSv$c8(T~XS>NHQzSRIcuINXo93GK%o8~B-^gA%*v{0=
zE=mb1Y~zmExnBUtqi@+g^`C~KU;6B)g5QsXo7Z_tzu_>?m<$Wsvh$$=H_pB*k3;n>
zolU(l)N~3c4yIOFr8##BUxJpd1mXT=yFwJIo-`2hNsCpGT!&D)qVL0wF+00&9Hg8F
zI(!TzYii5h*)UpH7id{&ZTCKUBM_Qd=tF@f5>5YEos$~x<&X!)C<q*EDg_Q40(qWV
zIqPdjWBv=8A~8Osn=Jw+zU}Mc*OE-xv2j>yYIz@{RCCY(=ACUq9jmBl=DW57F5OnA
zlG{a*qIVtVsxXqJyR#(F`97pGE<Igd>}~@`BUvVh4MpO#z%k9pcQBSVsQr7J%OM?8
zai;gBj=CO-De2iS|7;Q|A5OOsiD#VVlQaoc*1aLGoPY#QH`92z(MHXEs(jo!xVf3%
zW8EKp)*0e`rJoQpI{#tYB@j&6^O>&R#Mn4jE6#Kz(fx2F`d{1>ARa{Xb!&~*W{><}
zQd@jlduuTHa6grhh&Qcj=i5<C^|Ro&PH<$5PcO0UGwa$)zAxhl%qmq1LVnFANeOu9
zg$PE>tBjp7m;32$S;qBj+_z@IS~II2%S8I$@TcpopOVS0-<dJeX8mq7w<d;!7n&N_
zP+_-5;z(oY@2kcq)DhMdRvxxP!#%vVV7QW<@uat3eD#9JxrWXuq&|HXa&`{Aleiz6
z4m1eOIrmfDPf1|g`oYTnj{4H9K>0(j2}4`?Wt-BwoGP4l=#`lgkzIziOip^R4zADr
zO`0SBx2-l!*y(#E28uAg^1nvb`C&IKp_k@PbJ~x@8g4z$QlPm=Y-79`GsoD@hUY#U
z%U|cE+!JI-=6OwvCv0DLs>bPy=fj@c^tMpdzMP+aj@dt5i61e`@cPn1)-H(yFGnF_
zH8TQZvHpA=;REg|?KMOtbLcX;(8n2UDq@aB)@b@w@o$`sBxq_tMQL0~TCqiR;zK9n
zFDFZVLZ@X;F=w`Oj)etc(yglAK>hhr43~S~(E$+BP=CjG;IZmhD&~;;ok&?!-iT{O
zEei)kxo#7xUU%w%{cHDcpYbiHnE9r{`DfnuKCdo-%@g|b{l1z78YnGp6R-SU`Q^GD
zFvz^3pdAsH8OPD{*?IVW>|`{a0Em?-2_BY0@ZyfFzmDA(N96G^W-q}RjPFqE-!((`
zSoQg||MvYc-`a$|s9R(1Pf3`Q5OvmoKt{tGBgCI0o=&KInN4-@pf=9hooAUY4%(yb
znN|0in8ll?U_;!IX436<gU2|Udyo9>^=3?hacOmRY^%#*DS;AT*Q>gwH>iUoc@O0G
zb4uVn(NPogJgKYQ&7DR^==d;fzaYs#wPgq}j?2TY(u3C4&f6R}Z(<7qX2Ems2vnYm
z(aw9*($tLF!pF-{BZu{|OCUkPC-?@3P83B(V$Bi#tWUG+Ov!%6{o<#DZ_tW0;5J;{
zN);cZe6aXpScvJ>%*@Q*<+5E7vs$4WZ;j`!J7qlO|6VGLlG%;uL3slT^9>n&LglrP
zfW5cz@kdQMQaJp0s|Hfa9)up{!pt=tMOHH8N-Y(fiTG&(k9}WY$@I?Y8XvpePwW%O
zds`5$)`Fh0lo3PiF;ZNN?hP|Syu9y_qSn}%Sd@vH7L<NqlAUu}gBI@JSh;$D45vst
zzUv@bV@Hji^-2gZq@#~3aHFrN$-UstgEXY`teSQ?G*8kKOhd1i1fx7xm=}dc)f8V~
zf>wBP-spvp&sHkXMIG+^HKAeRH}II{mvw6XAyOf77KP_iE_hxl81jV<igR7VLd`i(
z9i;iWQCQu4_TAc*h$`jmsiCYFS3&axdx@}gm7PbI>e7Wm+85YCkaiO83v@Om52E=S
zy!LE`n%9k-w9$?YB=!3zZ}P<!XzN=&W{*pv6c)hT4R7wfrpsnKGTsEmPDy9<#hId7
zFCLxQ!jj$xhqxFc6-p!{02)by<!HODW<iXkNku5Ti&&{}&)T8~b<FaGE5FtHJqi-l
zCsvXiC($+>&+sJ-*z@7_TUDufDU}vEb1jI~i2J{!V>Ze!%1mxgG8*8H9n{{Bf@U`k
zdyb7Fe&6c!RTHoL<T{6q-cPq7KJ<pkkZU&>En@o6j4Qxax`pHPUhkOuhLo+{gX-L#
zPo46n;|E6NI2bt2aY5Dx+q+kL8aWHgV^BQ!ss!$WUphxMem>Z^?6sfJIi~UM6#ae#
zE?ObEBXfJJkn#JKbZHwGx`B`UUOL=L{1(@>!iu|~X&@Qa+%5Ol+!1a?@|=#te96iB
zRcNEv=VMh!{R>Uf;2{2(4c(~{iYk*%taMqHVIZ5}P}FTc{#+J=i6;6fa5_{M!Sttg
zW0oP%SJp9P^-zO)Ska_BR2<l(^Op00-5^X5(Qs*e<5RAlj^Soyk?Q#0kyQ+ZfU5iN
zy&Q4-VCrJEBE{jlgLe41+As}MQ_p9xfoDYl%FMl{rlv;}`o*BcWj8v-$TCemw*}xE
z{0-+OIX?cwpiqd(Nn)VnE3w1i!U?`!!F|Dwz7+*Q#6jJdzJ@43{OH&p7lg4%zT;Oo
z;m5~&0^7uKG1!p>U5zZ0)=~PST};AmA@bw+@N2oMx1pdGe<`BOJhXx{ne?yzAN18-
zx-2(Hx;8Ll9%O<)s?$0|SJX%I)~~aPeZnS84HZjl8~Z9T)ReAQF4lMc7+7Sr#rd3}
zKy}o@dhAPmVtS~-kGX<V0b2*n%t>ke&86ClV)(krmR~NG+xa7}K$EC>gMPcHVS=Yi
zWYfO#kJ=x9KkOL{n+wH?O)jhG5#7d<xC?7iKBSKiuM|WN^!=G3?4`<6Ax)Y*iZd*W
zfxDdU@w8lx8F<gTnz<fv6`c6Lafj4%?_P4R<!gi*s^wsFFUMTHB(J}?hDzu&f|~~%
zKi&mvn%+mie-M-@yJKiz6zIjws#q@y1$T=5MY_CAkvp}w*_+OZDSrFz>~Q0egYg||
zSZ6V*=5}0$(&R}bCWaAiQ8lvJ;jb$T-v`lcQ=aM>9?9rmhUur+-kq?R@^8bYeL5@(
zhX^&IOsqUH_7ufnihgGG)^8^rJh>y%^;=zzPSsyCY8BCJX*{DjXA2mvx<ih2UUlyl
zfs6SGF9(v=Q4ga}QzySoIQlE6WAY2!Ge}XXDBuRv;#Xyj$>_K13yu5pc81E;xL@r0
z{%9U#b<&cs%b8wHXiE+;O|KenF*>lS7lug>izSS~Xrl=g#lD;7joecIY%34&mbh45
zfNh|7%6PRv*?Fuc?dBjerc%_oEwE!_oGy_4;IIXYY!5(R{efL~RKL9dWyx3dC5i{$
z2a`b<VGb1wNDb{!k(%!f;YDb;dMGR)621Q&zw#&mi|I#Y-m%nHq<3WT9g~3S$KQEZ
z8JbDF9JeJAEZ3A+fi&ZK+n*k>Rd!qgRN@06Rpa;(FhQZ~&Fw`^JsEJ>V7O~e-ERsJ
zpDqD2_J(K`2iMFIs+|V@FD`<f0Ar<Vb5T6{k9=mi9;f-p)et2hnYa=efSw|v;5h=V
z-0YrrCNAWT%pZ9`^CGKhhP^|;rJ8Wi{YVN`Zu6LR+!sutWSpjqgVsQAmemK>{%(&V
zBKKTKb2@WopAH9FlC&-+OY?sDRNk-Tl+0@%4+ZSN{psv`u=~eqNpVBI+pP1W`L+~a
zkxx=WN<|jlc3Ntsl_lRgcMT0@tZaQMxS=s^j>D2WbDbKFUF&FOZr@a;8=ZfD-x^$X
zois(MgiKKUH*00P&|UiS&j7ng)j$bFrBJXt_g3@$>rmLkdxV&J*PS}yCU5x&+y2a&
z>0l?H9Rs}D5ZwAvpD?P1YX2`-cg%z1+I6gI&RJ}$83<156;XJ6LtH;Ps=;HrLb~p+
zAWB(YXP@7q;-zNr+XoP_X=nRjuwRc09nYSn);beUzl)c386MwBsus%66%9!@bpAz1
z7e-F!^`E3b=iS*z!&%MTT+F@O)zRnz**A~+96?^*grx>Y9VFQIlS+I`3KWkh*^Ouc
zv+@2()Zi#?x;+gbrJzIgFEJ6q9TQQE025zR;bGF#eC?WuSRn6f2_^h!J7Q2}(n$Fx
zRNnF2NKO{RP_@4_%hF;0*&IdN^nB|>+ju(P;MDjwDL(gljHr-9z9NlT(Tw)wv;w8;
z4}R$Z<)p4&L8N)GfE>RgLc463jUUJR)9lSlhkD8$ci!*zzQ-pckmcuc<VTkjV-pZx
zINVk3g^gK`_eY3-X_?~CYH_|_)h1(*VtU)<$5xk7v0`-0X7RzMY{z%aX*%Qx8IUtg
zSWkBkTfv<GD}12TxhdYrX)ji6R?yLIjq7%&3(>Ietzj*Ei<$v`G+^-BOAt)-c;#y3
z`a8i~InlfN-lsJM72Sq^bf}pMq9#_CB}sHJwtSzjqfz!nS7ZEsMFt${<4-8SnO?Qe
zem?v2ct%gpXY3_NspKsyflyt-c|)FIx$_aJ2y_zaX;7j;T}+o)#mQ!pNCtPh)UCsh
zcVO%``OMmmy;YST_eSXq2briS!Ex*hPIWNE{jXjDmb7By_|WswBX#$^ZXETjrM5E9
z;U7H{iiC50EOwP0qRIDHjUs<;wD`5CSnYqIAB>7N%?ZAu<#=q{D?*_);+Q3X8J#}x
znFHmo600^^p7s$`p3;#twq3nG$yyL=0m=Meyl7K#mcaK>yR{?YfXoQdrW{z#mU_vN
zEb~MKWgg94DpCjmDw0GOroZ3~ukGQwYqrT?odMKnAf+jmSDe*y4pI7p$}<iQGMLEd
zb5H~e@iS#aq$h}(NvAe#R8+wOOGh9QPW!m8g*#RI<4n%mM3o%R5tO0kTNK|d%1?|R
zB({?q8p;JuiYxjTOxf#GJ8)F7I5u1ZOuFdP5m<NSGC74e+VJ}?;5O2q(b(ZQGowgX
zC0C5sIPG>`Di)?bgEwVPVo}{yMmtt@k8=2)tJ!XGr1v5(=kTzNurh7P;bqGC4N=FR
zz)|ixI0H-X77+a1=6%$>yr2+!tcf3_XSBj~892f^ty!;X+eJvY`FZjR?XKLgdcUp|
z!nabbkcIVVM5$;o4Glag@4p_%wZHc$b>_@@^GLZ^Tw1uIiGODcL<6nY4PyhHHm6Tq
zf+C!s7p=@aY3|*$LO@V}D}gcl{?L4<o3?#}*w9NN5FH1bACD<-{Y7D1JGwQ+R`=-W
zsP5a>EH$F}Qmj3j)<B4TKH>W?Q<OVexljtzUD{tVY-<IG-5F_r45?Mw{~?DoxPSyD
zBrA_#XLi=URxbA01S_SBa)z>+#Q0r-dffw_mhFo=VzU&p2}(KzjcPv4F>KAz>Mn6i
z26gW*GFqO#(2ZinR{cY%#VY(c*!xBJP)grR;vke+S>eVLX*cODju~$O{`$zcw@Mko
zBl_Th$D_;f+zVmN#`L~Uko_qq^a!F2<!@azzu<PpVx>;Gq&6C{Cbtndx=}v<B{=F5
zpNE!^nO~&!Wvu7H3`3Sth?cr%Cp~62nAg#~yYsQMH(_pDSRLF^T72gJs{{Y)Aynu=
z(a!ckfG|@~wXBbM+~RU^95N*aUMVFIX&}2U_M6;-klQh01fRQ2mfMhnMb^@q(lWpJ
zh<XN8<nO1ll)aLCX8TR4WFW~v95n=*q{wDyv^6W~3yXf2L-~d%yI6RRO9(4JuIS}n
zmE45d%^xRo(MY5<{c7Zgkc#}I?;R!MoN+E`rW9;oSolb@4{sLeU_HW8k-rie%*noX
zMc}zPCet9js_LPQocMNNN9O{=9v?>kh)O1&UC%zzfW6^f6#V=4Tja+5q0%&r+*e-a
zXCq5rs%VIfC?>g>vGf*1>&t{mrLooNBv^`S^Xj@5el6Nw#lejjNWa>7Tku9}H2?6;
z`;<`RL?E*rMSM#vBS~{@TrpiuV(ze0HMup1I-W0uQ0w?g-F6!3A8)j~R8@keRO3_b
zQ%s!*jxMsZI&{cu9$+31XhB-oFM*VgRa{(*J760emSsQwckJD_6)z->tyo7f&vU!Z
zruW9FRkf$s;~f+B=6{sh5gTTS&yO8_y<Y2D8OUE*8K{5^E8fqk*If`@GA-}5V8@Um
zc+)DkV7{gMlo+VtxAg2SZl7lNTkNv{0Z?0HnsQZDSyS<I`%fPW*tT-HiuWh=G^~6M
zyM8SVN3^bu?SAd<<lCh#W8dbOVkMZ!7Ic0@pD4@gTP9?`*!@kqe;+ADcvK@{6maFq
zL163i3VfF=a={0!PNIzSkqIyhaKJi0YZcm!(D$vDlz_c=H$}g>_lQe6RRL6vB%z?r
zxf)sG3B4l&HBY6=uRf-v*v!)=qJK8pAIF3V+|c4Y@}o7|)?fXcxh$>q5gVx9h-EL0
zh?y`psehAbC`%sQKG2@m#PzzJ{u(@xlxgLjAl>s+&3}&l)?4Iy6XIQgRD%C6#D<%>
znep%mT$@6FqwrpR^7`TnRL1MS4dF>*vj?p_mE*f-M*d@(ADs*ugkDTa;piyD;vWPP
z8&qG8A-C7BUldpX#yn58@{Y1bUJBoKpeFCMA1}inx?(akG-PmiAmn{}p7Y*jX%fhn
zKWphbCpeP~b4Km~W<U8Gy`gFY(UcnFyxO0wZqG*8E&8#v21{G}n@t9=$+*6Si6$&H
z*(u%Ju<`Kj-axa8mH}7z(w6gSxxM?Vz&i6L#oqzM$c6_#Av?$JAtJ*+ccVP9OMWP8
ziR_<Qo>($H9axj4xYw|o<=t-bwwdRAmtSLQy#%4eZRSf0ZnyiN!J&D`^uI)MjhAr~
z)>|g%?ofQP#D5!(uf4wTW}yFueI~X+U;i6X<NhJ^kddZJEzRvH+QtS86{~Hnn$Xcx
zk;;zgaPoc5TUHdEZcY6h2O}OQiW;-3LhedirMRl&%1n@5YZeIdI6~8k7>!Y90%g1*
zn#P1Y@T?ca8UnXirmTcR`&O}PIf`&jCi*YFa-ag;7+@pyM!-zl$K77U^Djeh;&Msk
z8_Ca!>IA3Bq-x~d0o=jMU2y0(9iz#Y0(yL+uD_B+GNh~nY}iWIm8B#+BySEz^}|ge
znU2Or?br|7bq+&Gu~zeb)YFj<uJ+9t4!3YVvzhxD%@V3;qQmdqLuTiFYi1quy{@ar
zn=@@ndB;)T%3KSJv<!+R<w_~3AN$}Qhl$g1G5ovQpBslE+j%-2Wk2kue@_>C8^7uF
zy@}WJ2>AL|-_Y{t!tY1XY0ZmvDoe8Z%CQ@;tH@T(RF}!!0jiOLlLF~i7dh84a+bSP
zV!B#-;NX`ywYpm=bRivG-fDFtIT2g0Ti^(0u>u7Ke$=?=^`gOO&)SPBVCg+Kq=SD|
z{zk*okfQd=>&++qWes)V|8_8a@b2`zZ&X}e*TIa2%l_ldjd~SVj!ehj+lg_}I1(Tk
zH$~C*igjK)_&w~MFW-RBFk)wTGu_3MCER~aa0V6yb}PBhF=q*92)0l?@}hx4jQ;!6
z&q=+M`Kpd(akpTFb*qKyJF+iC*lV0+M*}}zWwvdZ>dHgRPWV=U6(y^(fic#VjX+dX
zq(lUsuRoVM_;w5vVW`Xxmg2Z0JFyCXx<9RaY|a`oZf+(&yK&!#(*LXM;6C$3TZ(J@
zeOsVZy`R?FwPLXKy1hTs=hmWiuP|*lQO~vpO<P~Tg1`im_+9;e?Bj@fqC}19G~h&J
za}@F=+6ZYKDDIiVzc=xcUin##r*IFHRRQLc_&)fIZjjL^@{V4aZt|nk0qUmldjK2L
z;Q#*>RSe{}<VZvZ9${kF3I%acadQR?Z224+b2D@ZS<n4h?b0D_&_;{~yQH4xLQq=i
zaK~HiDKV5c)Hc3;w!(+J*q*LLzT!=0rYimrxulw03&YNlr8&Di4hp6nVWU1&^qxul
z9c`)WL97qeM-^oX+3@F-CJ4vjSAG`Rj`x&-&1LUU>Eh)vUSR09A0HdQ%XWm>?8~c9
zWgy?#|4xR&O3e020I4vGX5#&jp;|$+Aa0@OHjJ*BZ$Qp*ZUTI&3`_MCp<&NXA?KJq
zMOZ>6FZ@KU(#Pz=cdcwypMXJ?uxA7c(lR2?wO-buF%3B>ZS2cjLG3(;w`tX3)$Bes
zJ?M5?us@S5r7V_kt6kc7SMD{;f$P<9Llag08{Wt|?F~|rncFSTS7?F#>);>yTb`)Y
z_+kA{X+W<((}dvjz9X}a)W7#DA-(;GT;&_LlWYHLFGDa!!Mk)AEs4)76DtcCE$$=L
za7XMDh(d$GgN|%1N+5u8T-tWj8gY98lL0;6AMdR=P80y%f-wN`NT#Kw<$R0}GMV^R
zuN{qo8VA!A=K?SSuj^%SGw7~^C1@F_7#Juk2Fn6Wra~|?=(>-6cScD}W9>T$+$_uc
zBM@#Ea*y)|`rM2dqG7#yAq{D?SuQRwk2LVTcfK97^VythI`~&Oe&R6%`1zu+++!Fv
zQW(lD3sBHINR3gQWj|tXeNw08s5rjTxmlD6mi|(GtWi}1u672Abz_oA4qiSqBI40E
zuBpH($Fl|o&=JLR+9!$WdyQPSh|V+?dLp1)MilPHzR4)BzBcyu%tg)N3$i}P2@-G1
zgsYgOGJi_Yl_SmbHyfJ@^|_!g#2})3?s(ECC|B+yO>VrYySqDZu(Rt7GX@#9136y8
zSvi0-@p#`l3A!94JB#7r<6A7%TL6~voBdJrZOE^3aP68m&<c1Er!fLea$!M}(UgMC
z4h8G#LAD=Aq}^(0Bmbfje-TH=q1xI-<2`>ebj<%8SI!zq!r8-;_iTH$+NhTa$Qvs=
zZ!Li@jsx2-hGV0k<;TQC`wue#X+rkUYwdQ?>MNx<oZ?{p>Q-c9BFK5wE7#JM&)zeP
z2wR#4l~8d2#^FCuCAv46b4}2w6Y!TEhl3gY%t)7xCLl#;*4?=+N})5OGX)gEfV(|T
zGIoy?t$OhTZBS_JKhVAt7uRQum}R334%G=^9c&Zu;+K(CBDHC=w{3K~b(k<TAL@>=
ze1&-oeNU0eiTi?@8Y5#@kSNShsD3I2Y~`e&@{tvo)3+r4VXBGUtXMxQ7PNt$G$<0`
zyg#yCGm8Np9qVx=jUrC#=Z_ylUSg)iuHQR^I*clsM^G50#!_3Ktap2Wmo!Olz8&Py
zSA10cM{@&8uq;3d{c~`)UnSTmyPNJ&k7h&8-I<}|902iW^l{MlKSoQxMut$hWoGL0
zhDwQhoYm}u>P#VQY8yWLspI|W8t2nX$1}Eys_X=-7}vm?|7u|DG$32WkDmgHTH<ju
z*;%9t4mFx?fVbQZr1?ecU|WmnTdXb5d+;swbo;7f2V>#meBvphMWOtdBk~qyW0Mze
z3RDqc81X<ljP=CD<HVgjjtnIKHPdjz1S}vwq?-X;5Btl5#o0=Ip{zlt<2C(Y3jn7S
z@}_#+q<;JqBXXIX^n2L<TZ6nuMD6PHSI!T+Ph_GC7<gvUEbFlDh4ARR&TC`c4v&VH
z1I6SF3=C7~)Lz-`f1NVc3iI<P0h2<Rs?OWe%F>1kt4L?csySM%g#@3@rB50ECi5vj
z3dc}SL?`N0|4~`Lt&=7FchXe;Li{U0zA|th9(`BJZ>FOkK)mW>cBCn&nx5xsN?!19
zUEs|FohtwBPH{NB@*e#_xwrb6Z6iHi2cjSy$4x5QH}AjptmnZ-v)sg@2K292mw_a0
zH!~yB001_01(9D{AmbF^`w$WmJ_T=rK6lM5u7^tr9_PC`?L)xo-n?4-^XJcGmCpt1
zg_QX~Pmd&PJ$<}Z>g6${Dni006pK_6D1H~_=F%;7dbhpo2*XzrI^@}3ZmNQauIn^@
z?M7Z|aePBt|6e~3P%S5ner<wE`z4aS)GD&M66EOY`&2R6c=JCz5a2yN2q6;|G<3A)
zc`I@~+|v5RiiX>FzAD=X=cN-KVyJ6qeLxU=yZd)O)?=Um3gFjGoYrw&2m$7I4A%Fb
zW&VBgbT*jK;{F=u647x}$Z#ANc#{7EJgy%0bd;Ft)6Ic0L#BIdGM=!L{{xJlYWBCZ
z$_8}9wYRk3v+>fu>89ayZWiu*jY!<3jHhf?&%7K;{|&T}l=yW+wZtNwU=KpzGgi9p
zpN{y?{|?E?>DOV+9FcD+f23sn@0^TCXM>9y-?}=y=BO(%SyGb@w^KU6Aj!na3CG>#
zoxX5wwA|B`wWQB9RY39lVEC~rJVCBAYS(^v9ayL|T)-x;us;s`3ziKwwE7aCm*)z<
zXG2q*vY#MxjQ0@X+2PH%1JKDZ0{|v#G@r`-o)N?}l1k{);#N;L$?hFM<}u$-*D&Wh
zIVDI<+5|jP5RShz?8`)OAM8w{2$uvS7{}kCsrFzJ?FtUA;C}%j%r7#R_<DFYmS~nz
z9%|lV6(uxosW;BG0VX51+tbGl`~EcOD{XJ?bT|K!+jMN+mrI#pP7v9+vbS%FG}ov*
zGu76g{AKBQ(g9rK;+pDQSI1}m!{mYGCIG06KC=OyTgYkyF4+z>>bCM>dAY}#dHTL)
zyyKQbzOM;g%TLiuz<*k|^~fKM9Z;WM&g0)t>J?u%7z6Y0zoU@8@Ub&4ce9drjp@R}
zyq)#a#M34k!!UoaKK<J_CiqGvk(c$(!Tuk1`#&`SRDVmw&+2MN7~2FE%aX5u2wD{@
zSkp25VQiWt9j=#@er6^4>504noDes!i%V%7G=Dai+#G-S7WwQL+MMhr8<`M$@ylN3
z8z3Y7H@y$IxJP}|TmTj^>o5KoU8x-D%oEoOd^q_Nx0=mpzD*LPF}H+oNWCa}FS}Ch
zM{fD&$~VN}@+jw!#eNOM+_U9A*T_--;o?**Bt$9)JKJ4qct|{Ofjq<5HS0G9#@tjw
z`)<h|_ycvFX<z-ZLPuCnvWSVS1B-VBWA`GqVTkZ2=gPgD@6)@l0{;}W#TIddV9K-G
z#`tE#rh>66wyTL9D*r@6#zG;gVpsOWkftXvK#_%)GFipJZdf;jdm?OjE)#o(xpZ)*
z+@Ptpqdir;l=BV@5;RLstMBwk+rprrJ&PP?t@uF4t+BY>CW^~^V~h+{b59-k+8#eY
zx5Qwi4|};6bg>OJvI++ArWLNQ21ikmgq}2IC8g3Z{)b5Ah1bdN-)G9wc>RLfE!0F6
zVpo9bq$7$c^_XE7xC)N3H6g@EjtUE&^Dux}FT_>Lj!|!bQf?M<Vii@3K>$je=vM$B
zXq9(#86Q!R=OJWn?@9Py;7}7@Rn(xBfCCNCqns)Cw15Z7#Yei2G*>+4O8USqcp9gI
zi9GgG9E81jb6dp&BiZ`<G*l@VYzA89ujE5>YgqCpzoKNb0p|b@GV^I>tY|LQRB`><
zA*Jhz1f`&xu*V}b%aH_Y1FU=eGd2Yi`QbHi?~1+O;8%5+?yVX^2vCH5^rbF&k&)+%
z#}$Z1`@`Cf*VN`D$SB@SDsVkM?kOC2jf*=``|+7Zt2HGC#S)W1xb8qkqRva?9NI}M
zb-ig?Z%H9FUGzYJ1$W5oS;mTD!f{xjF!CWA{7EaoO*@@(Ar`{*hPm$L3#1Ol`6@#t
zZQ@&C|9#?+HIc}kqoDz|;+o}&RcI3d-;s3wRk64@DC^W<4MfY%($5xXEsQc8k?~)<
z&gKTI2qyAW^s{Sj+%?iM>AyPjUj|2<^Qim-$(2e3<U1R^1EF|KH|-;V72QcE%iU{t
zb3QS9&pjQq_HwPC-UA!uE9F(cRj7Iyy4|^*NQ+yCOc%&4qbL&Jn|WFC1uSfm&m~~8
zNAbI8gZZgnZ*rDFa#<nQP3n?k?Zgz=$JkoWl055UxIObcJ8k9Lz5zy6FL}C#aE0uJ
zWH*P{k;1`l28ZIu7NIo<QgwZ`&l<ej>N;u?077=e1+)eGVxS>eRQhujM8^VkcqK5`
za%R|ztK72xpfCP(19kV2me$=?h6XKsvs?}VOOba_EuFTS%h(v>&8CL+rgnM!_$u<1
za@GK+xU90|Z^Msa??-oquQttK)cFt6&dgP)<>7P}y|={<9_2^mAz|qi;2_HIA7@sV
zo#eIDVOQ`uI}><dXXRemJCe>RVI{Xu_^+5{@Q{J+a<qzp4*K4ab(3-6A+vd(u3B|f
z7h&jlYTf{uF#W0ZJZr~8hIj-a5IG_R%IfW|V>s3QWIN*zmMHx@_oZDJZavzz?C#cA
zWkluUc0FuKJfYcrM>db{#yi&3;`Y9Ss;f5%1Bbewm$qGpq<gC}h!2xJb6O8hw|@5C
z*&E6S{`BF0rczHBSr;QWnEd(l>&7Xm`{_4sF1hXXSNV3POGj}Jg!Y{VyL8GW5Xr%p
zc}XVxh*F3(*<<;SAP<a29Hx$Jf<P{L)-FjEk2&I3hG6abBe%n&o!er^rdrmOebvT|
z`a;#_1Y!VYZ`j7!RUAr*&zudM#%ohSe`rwJA6|Y}P9q2X@?wu*;AhMZP0>sV0i$U-
zTepm>g(*^k`i`1~v}l6*)~SyuVOtYJf_rIY{@?!+96T)<8T9lgf~3gF21ayWXnL*u
zXXxws+5RD+aLB7%ZCSLP%A@pRQuG&C60a&E2+IJ6(p@CK#*blYAR)Ezr6lRw<lfdU
zGA3pyufMZVIl9J#RbDb!nzJgLtccajawc*b!Qwyv!K4B`k|v&aL*#GBp@q-*fi&FZ
zdq&2@%z!Q)s0cc{py%sV;J&KtF7ItC2jzW!?`??{uo_ZV^|gxh$fa|Qw6l`-E|p!K
z%z!w|Q0*AHwHBYb65-BsVo`bJ$O6hzn?(q8EJ7yUZKuc?sYYJa4pp^W%^`G7t=|wr
z=F>lN_&<E7-@c~^GlQR;tS?qG(#3^_(o(p&IUf^F^a~4Bp`V<+>s)JiTRF&Z;xZ=f
zKmWXcR@*9<`I>iQEY(b7t}hGq?-+-%A(!|prX3nVKwj%ZWgx8JM(<{G;%<)bB8-x)
z`IOz>a(`;@0>z(6Qrwg1>!2Xe3FLleBELkfD0f$SrceRCG!R|YsvDIrNxKf~qu4b)
zfJwKTZ)nlxk?xN$S()7T^nMOlj<r*m&HDOqznn$7!znUlVWQ^5xlUAdAq}(iP3}&e
zQT(oN($=z^V0T%AvUF8&H*+YXc+i`eKg6c|IoGi;Yhb>gsxOpM2GMy$Kizbq9WaeW
zy(+zs*fy-3TCUrgDmIU)lcV{msCql*imdeV1}VK^=n7uKAmaN`eplfH&l<lMX0+5|
zslSV`0zF=Ouf8K|Y=$y;h@1#A*;j=ZU}~w3kH7p0^Y}fysW@F?sX40IcGSk6^T|pZ
zf9HPoE*1MYC+5QJd7*{c#8lfXyEmRR{I;5LS{C!dJL^!SMUuAB{1lme>++iOCERjr
zt%RMr7-9K&!bGIV9FjT_0BrfLJ|MTSx^G1Bsc2}=8o9p5dMFQrOetp)Btc8>6XZ0R
z4JzcBbzZ(WWU-W8B={*ceZwJa`Rdq=oyvy{eiCx}`^GgCM2HaG&-L%>4fJiA4@xr>
z(s7I20X2r>wGy}9@Pbp#qlDW}zE4&ECKvr^c-;8aW3HWaX+B8|e~pbKpT17Pv84Qi
z4p9nB;v*p{hA_avK0oQj;amC?Xo_)2Z4>oAo5RW4XO}m>?Y7gL++pmKs1|qf21%a2
zA4#+*eML-bG6PdPEcYuo`$4E5Qt}RFqYuWo;3o-JNP9m8pAb_5vXuDPSaF-B`kd=)
zH;`C;_vsTSp8;fn@--{Zn|ibEQ2}9zzb~BH>aBm3$C*{*a(6e@Az)ttyUB$sUz2-!
z!xU&$BI%?5@&m%zQ0bMLon);fz>zq62?vVcpG*x4y6}5}(8JG@iDA66w6rvz$P{@J
zSzQR9AXoSc{m;I{TC`I5Q=h{x)2>T=$!nBFHUEhp9C{=+DL7?QZ8OSiVo=09(k<Gy
z&&}v-)h6oQ(C>(R?;Y|}MsEE@H~i)=>;NYJC;|{IiT1rYmIJ{;E(at9MRj08xEl@P
z%K^gN<T34H4(*UG<J|j<cf8+ge(4nM?5z(@UqHJ>*wtQfyS?85cQpaqcVlM}Xb-m%
z^GO^3VLosNe8N|8)A0B2$<8%qJ(Zu5NyQ6xpSRC&VmO1+_I2@ZJ)&CPpYx`gkPp|f
z#Gl^i4dk3pEiKPqT#>MezV+wp{Svq_aWd|=(jo9E-gL~r^-EnJ?N?v-g{%9H`h!DV
z3Xa$BbH1j$aa_pZQoU$Fs|0(h*Sat2Zi^c@HIO+5vrh;b9v(PH9U>pIehcu%>OMfc
z^f%3fvQs2378V5emzI~S|E!%WyAKuPh1w<hp2cN7>Dj)&Fc>x2VBy<xC*D0CJ^-_s
ztX!H^-McmK%%|U9_x6M9MhusS%oL0<&4S{(W8Ug5%2ky2G{oTg6V90)WT@{iX(l*`
zhH?=q;$0A?=V8(!WsH-pX~JXbYFnC0GrPkBjRU0&SvJC#_8rK#Zxa68$oyWeFUo&k
z5>zeE9G=0%;O~2yfw7VNn?Fgr`rDdGT_jxZ)*~z;BJW9HV{BsbwwWe~nS~`cAOQJ^
z##7;;f6~DCbz9Vam>-<lrQ4Od-mtM$i%uU(%>_m|^C)icyYRc{b{8wZ@WZ0E6j9f6
zZf>*^*>%RPazLSDr*J^+uS+VndYj+cNTI7y@xlOy`2}T(w<PhlNHO#)Bvsaz;yGIC
zdFrH|evFNrA@$A|J&#3jE4Jx)XJ%G+CS=lz@7&8Vy)&09c|Zj_1ca4XWX*&_`ZC5G
z`rP}}`)$-jZ{0zc|MT+&lbETuO)HZ0A0w+BikFV9q%OThr~?n#CvSNXyd%49yu!ZE
zjW%H^n`I(v6LHt~<<|{<$7W+iq{n7HGFtY#X2ezfce;UV6U=u$wp9+H!Dl{=RrHRO
z$=ivYj9pb@DcmxoY?ksoAWd!UPi7g;iIt6wo%7GJ6-6ECJlR^^c*-$PP6|eQ1I=cH
z@0g=GlvRRxRSMnQh?S22f)9k-TX2p_INjWYvKoJENb)Kn$iz*p+};-tH3dB0Rct61
z9>H`-M{izrxJXSj#nik5RD5e#-Y<Q>%e?nO<g#H>16Vx`?t2t3&X*5@I0Y3T(bQ7W
zFYGBlE@sr>i7*W0sHkV6)x*QX=8Lta=kt1YQ^3s<(76SS&0Yw(Z8kt}tcq#O779BH
zaTbw+39iNNp(EHZ8}+67>7X9C7)}$<DdFeJAXTQT#WkXdXBgTiSbmeVZ{7@8;hxZl
zK+_#}b0gm6x*RU?{`8xJ1&lSD5cfPw`=Q1Jqls_apfWSLFar!`+7(SMDaY+)4Fkm0
z==`7yfEW5+_?yh^>1owe0Y^rC_w9rz%dOdXIOe6Ue`b+?H0m-4<dP$tBxwOV_E4p!
zKz3e*w??D85<)5hIwme%QVsPwy#(HBS7#G}&|*|b`1Boy7-l=Y5kx~(yo^~y2O>C)
z8OLqZEe)3!M3ukZYl1e&vd-x-g2<6n5`)QA_LTl7YZS*dH%2+x&@eDil!>7#kP5|q
z-Q(6ZQ=XeE=^aE%Kpt=5(u2PEWb0lYC*-udzWvMCj`c|-hTDR%PU;6bJvgwwpjhbe
z<g;0*_E*dl-s9c<^XCJ@w+vn@q8w{tZ8zTNX-Y)8U)28~K2txRWg21B0n}3^Rs$UP
z;OJ<+=W$2U@87?5w;Y9aj}s#GaEmdKgg}K-9GU#~Jur0=fw5#xpi$0A50Tl{e_pBJ
zio_>wX_z<)aMSqnNr(J@946@JGY0|*ZR}$_w?qkhG@Lj}A(!hzO8^K($#Dmyx$#;l
z_nUpk;SNufdpd0Y{e8=erkLso+}5p~ooPTItG>n+WW@7g%@nsw9QV1uyxi?_(}Z-q
z=}tycEs#8az(-y`oG;grVsAeQ;0l;Fks)aU-EFhSCnnD4W<orCY6($vxsVw_Xa=vu
zNCdi@Ioa7KtoGkd4Sv4nsnTQnM=9{f2&-j7w)=_o`Tr)M7zY`*l;#u>O6^nJQ-g|!
z=X$W95^Q)dQ-o8HpRX)0FYo>CpQ2D4h1L(`{x-<}?-xv?M%z_cy+&&lgQA@u8!AsK
zDEyu>@#`hLPeB}SH{K0X0Fb~l;nnE^Ig6u}mi-o6nJqIh1ZfmGpW-#25C@Q}en0{q
z^*fnB_n<v|XKeU-D*YosdfyAce3uQti0u1O=|M`|$K_ACJq_M#02TRfjgU0%ABgZY
z|H#PK>yo>DF=7wNPr@vAn2FQ#2~MUzvB$_kG4Uhs+9DYh(?2Pv(o*C-O?^ED%87h&
zX{l=FcjeUX87wiTQ2@6ubXZHSJDe?v^I%N3?<ZBEj@Ag`*vUxvH{A5d%JJSe+eznu
z05bGM_(~c#)zEoPqo?-<S!N%I7$v&4!14v8ZoGyc6$ed1?&@ZWlwy`Z-WxNy-|UAu
zQ2jL{{g_5{Psfr<{z(gf8RSF0?vkvmoe+CW7X^-SUH2hDK>rWi^_nkht{}dUVP{UK
zUFFulKUs@`?eP1Ut~JRIKpio{{D^vJKCnu1S{9I=LApFhY4sHL*E)pseQvf@4l8IR
zN#N14I!~GWD<r1juXpDFy9<TF1LSkR3p5NS5`9M_>!6GqhK(ZcqacHZ@og(UGgGn7
zY@(2RLYR9$5*X=-XkO+#0u)_t<XkqZF;~N#cmJvvG`I~I>YAF<xzZ8pgVJ8=DM6E#
zfEXgz|2aC|Fu>2&vOk$(6cEq}HvGe>{ieUaKeg!JbLi3_<97DU$g_?`Q;R8HOIV=A
z%>4ZMvPy?u_^HJ58MqI^TD|z`f=(R_`}O{>7eH&mzfz@2(6gT1&il*d^Sz=h-8@AF
z1qQct@nl=PGX*+3Qa1sF<An7a)2B^Hg(6>&VzGt7UU#_Mgy4w``h|a{EF<^H8v!4F
zu#U)VW1uGlP|C!gPZP19k>CzMY)?2;{U;QfbAuY=;9CBWzMRiMRXq==kIw)_ig-R!
zNj54$r?4kgYuREXDYyD=^gI35;^eD&B<3fSG(tw4bxc-Hj#*61&^>i~Ym3QL@b`#R
z&iCnTi9qx5bb+7>{br-ai2Pdbbh@DM{5E=%*8o7~i?M!l2V4N|%)_{J#1jxewNWwy
z)LG^<Jy9V(h(n(5qshgue<RY`W}j9IA9AYU%tyuR9qy=fT%AAveZZ6myEh*+Ve(3K
zhvu^Zlk+PKcqzKm%E9FSg$hxS$dPfcD-A&gIuue!-|>RpD93hVq684$eGSK|ssV~u
zn(i^#BBJ?~EjwiUt8IL=Do*v<G^vjNmOBpx5{A)w#>)a71A|P}R7w#KbrBN)u~s^<
z<#>@<TK#2wbTrbfAO*u{ROo*O9}T5zQv%5ako}g%wvcc~rp6{=QFW2Ow^p9%;wG7Z
zmY1_N_&(e~S^pnbZygua+J*}QjyQxkqzv8NAV{~;Dc#Zn0s;ckjf5Z#l9EcJfFO-@
zcb7CsNlSgtp!+@NeE;q3Z&>SzJFfe>V+Ejg2^TI#-+-J|h_7Z!@)ISMl%-@OYWn?G
zbW3nQl?&>p?;^Cl70-AM-^n7Rm<rqPn+!=@#Q$s*41B&v%-6q+7}^sMMHLJ4zemsk
zGqW@^W1xk%9MI6xGD^dXu(3zT06NbU>W=Qf?2uNqpkg!^&vXGs%ST9*!no}aX-RkK
zE&9?gaMkg{zZRPVG$%`eL1Nnb0_bh#9`hC6FBpPUcblz8@}#>}%t&rU1rmwWvLw+I
zxq&R~agyUSAgp!Z(kWYr=HA^jV{M*HkkHZACjE<BC&~bkf&{fyDMqaeV7Qg%x}Q;i
z2~7k|bH>ipmyR$@q=5VmGLHyUOu|gOP03))x8E!S_N}u@@9;~4EvFD51EN;9ZuQ0O
zTM>e$0u_@*HG#&NO@GwRfJSk8LMV^0;>=Wh#U~@97(5l0TG7{S{JPirK8$tX_is*D
z7OJI6f6mk!P`#}v=YcNjWC{0$g@>~$bGwzbe8BJK{yG%6-UHe+G@iRdZB}$XzW>+G
zax957Fc}kr({@TZOGJh0Yt+hpuI%$Cb_=g=!LE8PZ_Chq6<_0?B*O};BoDGX!Nda(
zetB3Z9fYSbcs&R!-wTYE$OYq-?Tv~%k)Q)nok&*~r-_zQJabm?LZELv%qW05E86dA
z1J?Yu+Yi|uLc!sexl(^Rug=f(OJYmJ>kqh0A;GUPEWn<)hl+(3qe<Ypy%S3gK08+V
zn46pXNdUXRD$Wd%f^#DigNCo)6Y7I~#P4=>%l*lJ=K(iEA1n_WBHkB6D<5~-I{Ha{
zGe(|GwcE|Tq*M2{#vRnXE}o;^g}0b5Pla1@o@kXC+POei;b$Ul@lB7>QB^zj0##}m
z85yad)zLBj6oap@kxKKZ?<`(CNVjmapx{D^v*0Kba#-~JIp*5}63C+uP!oWM!E4;N
zVRiND>;;NQA%t+SLXYLx|96i8FkiJI&@Y3S)}i~&Aq!tg(iI)Kd$QbA!-@<lpLyo5
zLQJlZ7o$+!L4e|*O}uQ1PX1(iyVsT)VdG#BU!-(wHw!Vb@OAWbcDH^p=t!X!`}B9$
z(hB`2C73E28u(tvV_Jx$c7cP*LwyJ2N}CC#Kn`@$^IMSRHwZ(D3btfOucrt!56slV
zmEe$I3{EwNzWx4cRn8w7-%SY71!yG<1=s!{JvZ+?F5affXG=><W@>sVhM^~k9B=%o
z?hm}1`eMm!%5X&a5AdiEBcruy6XSkDShw4S0!rTV2gN7BS8BZ<_>^_fK0FMuB#bkI
zg;K1*Arr7XE81kwjU=mE6>kYbN>_w+w>TkZHNA3jil1P9wL<X}wGOV}pWh0~k4n8^
zi=AJ(q@H&F)xs#G^hUR}c>vZD4n`3X1;S~z*avpCIqnA}CntAvbZ0C*+t-RuKxknk
zbkQBT)Q4emXX)!iv0i?h<yzf-QMAJ}9hDl$or9`W1P*myru6vVEyYr*=;(YB;$Bn?
zjv|g-9P*2XhjKokg%{nW#Pfp@k@Hi9@(#ryfB_Eyimo+kuD7b{dz?WDneU)}3X#(O
z9r~#B{y+!@d!35=hvuI;|MDUfJP_joq|&(>r}fXc*e`Z~XU=&!SIbBSqa-{SF>Lx>
zbpO7QH7oS16y)o$0x^G@kh|J}Ewl$ZP?4HSQff_|(xhXVCY@;b=2I9A#X^GNekY>U
z@9T4bKgYxD8x#zHh=3hsy2E^7X6L_G5xyTLVx}N5DMe!nJXwKSw74qj5_g>0S;6}U
za9mbKL{3<p(wM0a#zjzrpTz@U7qQ)ZU2?STJk5%501~Qu-~KP0|Jp*ZkfGm=+?MX@
zezAxYKqfPvFmO%#iDAN#8}xG#tu347u|jS<#h@;1aNwTMQ{$CDd&Pa*i_<-=EJByZ
zc9Hkuc0iDVW#Bv{9dn}+K!vEuu^Iz9Qlzoqom>ZYf-rR;D1pJDAqSv|YXbePAIt(Y
zLS|!AKVeYjV(7|zEO||#8uMt?AjSrfBBOv%1d2Csxut*}e1;%+Acsm4fZO)>Vxvv5
zWx=<WQ)na%a0wB+^rcw5gDhlf;^_;E5ZG#RZM-m8MMha><V^XEobn9uELO-q%h1x-
zzD^{MlV7Uuk&XAwa4@+C1owm_uyoV*riIx4>Yy$L0vEBm>aH;&77Wr=w$MdWbI>n+
zwD!S%7-atI+x;HIHV51rDNxO30bXfG%stp_j|%U=U;Z`1E=a%z<+vF-GI;`8Fvq*0
zeW9?(GArIs0Os*n_LIa1sHWS{as3m{03^&pW6ymMJb#i4)U8`j_b33iimBUINK{x`
z7U31Qo&XT?Yw0V<JLkGpU0!;YDrGWAVofJ=TXu7IV8Ew<Qu>YiBVbQYT7o;M=)5hD
z;YT@pEZ!OJy5N<_`*L=}#fzaOIttUhtJZn*Bc3@_FE8E<N3#Qi?e@>1(n$UWZYcn}
z`C-IafZ9QIl%zC4SDaVeDWkyB=kiE?)4~3e(kX***$`y4fnL6Ow}7>QjMBx8iBj^p
zH`~P!b^|nPW@ahGio<<B@kl<lb4ysd7tqhDS9R7WE@;}0DN*obX=*FHE)`KxG!zV0
z{Bh@9m)k!-K}Ck_8A0)uE6%J?vskT$_9!z8($m}fOpc4@MacdgIWFykB}u6`Ga|+*
zMAa$}B~mUN&lEU|gkj79aYFQ8^YwZ`C|v6SbrD+nj(6`9a)?1V=r|DP?57!yboP{x
z>~hz&@k@&fH4D)zG|DYsXrbQDaP(UY6cgYR;iO74z2e`&1f-UM^Z;H~Rz=|e&>Ecg
zF+I?ZV)*^7^kO5xCDl=TXW2h9`0)X<r)Sfbp8*d<GD{n;r{y1GB0mK*o(7aFkUAg+
zlbjsXZQ|4F9L>FemxD)~iG#bOupLUbK!m`E0tpaDLpv1xU0GkH9PiHQL7M+taR|~`
zCy01!K__xt7QS1@jD4d)(DsuRV9Y9OX(@3DAVl|(i+KY4=bxpV_lSpkP9s2mS1f&a
zqD}T3{-!p#2r6XoYv~q)XwF+f22sf)l(R`+zP9`fZ#g5+127ZnnOomI69RDK@}Qnn
zb%_A<SAH`1{yHH>A&}hAp$lPur1(+X=zfM+QpQ<;Vj?CX>cA$%m?wbw*rW7>?$9eF
zWd?HWe~Y(#9><OZZvcNWih+oDQ~2!DyB))^xVX6DDlk21K0binVsh9^NUy_mr+D~a
zM5j1LF8tLX)kLx^cxf&O<rEI=aIo8?o*;a|pc*1WE?*PN_2Aa&K>RGkky?yb;?F?Q
z(TkvB-@Ef0L)mEjZ&Y?C%d^#DXlZB)9Kxw!FBA0W9wLGPIte6nZm7xE;a>m<$yvYN
z7^GaaetouYQu<zOgUh@dFPEqFutH=&=7OIv;4f?N{vA@f#_H<o(GOhZK@c{MI?#jI
z5>a0pCPg8!DbpChB_d8yiw!iK&{x7bnB*%!1*s<>q<;YqIN2JLmqzs!FGxE@4-Bj?
z-naG}j4?&*galy*`Bf5a{;8*wFiP3Abb)lBe&9r)?59tkcwUS$5b;<==hDc_%4Pvx
zLp3H@?ACqi-bKk9F8cN@32Xy!NpjY~vlevC0nfKaKRI{NCc@J5UpI$MjT=@~<5NbE
zQcfX0ks>37G{6Kc*sED516w3S6m$`Zde@;(+4)pS|0FR}0BeF>L6hXTNtG@DI{9kS
ziW(n4aNe)5HBp+OmJ&(GNyPvLpt0bJ^hv2B?gEB}06RFl{t@E0CP19x1+3}bkCaC?
z8(``X-FII;e*Wa(2jnH*`(eI(a7evMOj~<9>M=6*Be71gTNQ_5BjoiI5@!KDz5^gQ
zSHLP4OOm4h!(G>gLsIZ0f~E5p56hD5T&Cuq1ac6;Z}psp8tMAgYIpn*sO<Y>LZyFd
z;5sKg_uZ9V2qWlL3$5fpxQ}3aKcPB5w)4D@u&x4ADoST(2`2#V-wb0eQEC79+OU_T
z`YLJPnoi)>AjpV`#hJf%cxZ+R_J(jw*ilG??mu4oY!_EU=V5f>p`2!&Fe3g}G%mZd
zI*eVQUb-~S%+b+N9L=ro`Zg#-6xbmRsJpF8SZh9emJ?^8l1kY-08GXU_iYJP)S#)}
zWNt<g5s^i1Ks2zruXfIY=rkOuWehNKi2zaN(eZ;>Nwr{Pj0V)6P#^79HwH&<q1ga^
zpyjCC7Z5Bl<W5~*U1)r>bJ9N}L-c5A5TOVv2fscMIAXs=XJRyz6x|gvwZvQm|CA(D
z5(!hNXnj$(3K+A}1IlNUKx{NRrD=>p=-~jP{R)fe#b83%eE=m0P}~}T7_S@voTJQ5
z6Bja!=|b16eu|(PL1j?L{^hYW2;GCiMiD-ghT7MX5;6q%i$-+y@N&a9o4Guu?Ge$E
zLr;DSncE`dBn^;tK^gtxh4B_sQ&UW-C%{pTIXb-t)rHvzs^-nfugzQvgj~tq%GKLj
zx!Mc+F9OV*!fv{UEP@2^pD?0gY{JcW2@!1&aa&-z>`ZI8$GU6`f=?I7;=E@6X7&^z
zjDEfV17hUr=;*-l2?%tT;MI0BPXJ?;1;U)tLtxRYLGhaNTC(M5SoNAXc1x1gtsnb{
zj2tL91NcPY-<{MizAbVihCXxykE4qIYoO99DK<hCJYAOzWpQG^Zdi^xE#PE-sTJrS
z>$FwN7n`3y-gb|$P*Y1X_Wc^*{!%ZZjEKbmW~4{p2c@Ic>HkD41c~sqc8|Dh6(}Jq
z9mFx-^*G%vjx!T}bEJ}PW^HZFbRbYiA|*@USgnqVxYL_~d3WCq)l{!b;bXQM`6}BU
zjjC0;2n^o#pm|P095vs-=>4F18>BnPF~$^u(J+~UJid|dc9`w;t~D|x73Rl=dmcAV
ze6AiE^qWexvGeZfBURuo7Sc~F=7}UA``6Mx-GC-0!dtjodN9Md-7?`ALT^keF~uXi
zZ^B^hGBV>qzA)%r6t_K-+4C;?jDlUj4rE-Pb%^2w_Jls8kcL8$DPal_4#N>S?v>0j
zIc~Qk%6xbW4-p0?62fT;S-h`k(w5S($f4Yp5Q9SQ06%oMRXth+{2c`(P%H$uNsKh$
zN?G(OuHk%*IDT+)@)IaP>+bKTgK}_mhQwfYO}Jc>SRxl6=<7U00gr$pFQADbWyf0p
zhY!is5f}ICCVmTx>~yhUabu_cBvj{BIjlhbkTQafQXag*|2@*YDhI^vS9u5Y+(*Tt
zKlM|cCHC~pd0HM*C;9CfV6dhO3{&2So(MVax}HoP!8b<*lI$k>wcb~69;J_%^277_
zDPry;9_H(t#CW$^GMeq*@;k7bkVvy=fI7<m`SoQW?rA_dU#BE0GD{2F^LpUfd1>Jg
z!jClE!!a(mubM$yoI{s{xIO#P-u^jN*zNQusSvRD)88Da0jV?@L4+V*5HtJl!?|*H
z9wrh5`odr+I|@ikmP_xmFy@`63FY@<bHTq!P)tIN$uLVfBgXdo!=j?JP;;S)!VZgK
z@u$S5yoAD8qZ1SAnwkXn$wl;~F~vk2dfUuJNNtrh|4>6}dBH8X?5wl9vO~ZNHijXK
zHDzuG&;M*>M?vQ?+Wkq)z_iF*lh)v=IJ38J-{O&y78iM%tJvqzA}$e%e1q$d&l7<3
zgt^bSvd(gVEPfADYoXqw`bLnF6&-Q0C^ATf@DF_URY6znf>=YCi++@*eMtU^c|e@@
ziIM9HjTa$p@U`yH27gz$2t3sTn;(v?M*Im&W#7A1$m2&SHWOqg*)pB+9Da4elS2s}
zIV}eawH+<PItJnefnuH5zQ)fHq0jZjUg4l&JF&0yY!aub)k^34?r=;A9fq#w&!3M%
z#2^o!=vJ^H_6Ze2X6U2v^mCwPV|xcn!9*ckITSa<WaxXvzw%&yr~j^@<>uxlmGf&<
z>KTNr-bE&SDIQvcQOCKT9;<Jj63T*527HwHIE(%3rwn#07C#8F?#^3*9)f3#Fhp~`
z!11VhTOsc=vZ^C>sPl86{@XtuXuVWKXbA;`1dXEi4g|-(@rqa6_XUeeu(&v?G#t<D
z48dgqK_U3R1myyEFx>)J;s?fomI{iBxu6YjxYlJ`U*I@j^y)30VoJ`d6!99my;l#V
zDkPy$KP;+DNk2*7A`Br`V-kuzCPk?Pu!TS(grmj&e8SV}c3-Zdu(Uzf{R4uIhl?)F
zgV|)8X|D5Gpx`#FU*y6zMcAW?D;mA>BH<d`;UGUW$<5bdm!z7?l@f7!K;)W)kuOIn
z8}FkofeE(G1&}NoFhLak?hv3RTJ9NQgx0gkaou}Xar<*95sF)BYb+)|J*62)VuFu5
z19Px8*nvQHcGNtBAQL46cniPod`f?-dkTm@61xX$62wd|@2m+$$@+~bECX{%)!TJR
z2We|^Zr{HL;jjpJXy@WmsVE-oI0?LZJfDt+Mttj|tY?CIb%z@{u}W(14M?!MgKt%&
z36ZZcZW^vb{GS-qnFJZL_W{Y{%obJv)5f!?VX0IkkfQ0ucqC;mH^z-YzJ23ps=u3U
zRs;b3g^kUpk01U29BnQSniR8)2%1oE+KjUZfN2UEp$4ic)?5{MC=!|VXh7LU{O@9b
z%2MgAVUW<u1u0xP_)C*irdta+m<%=UT@&gE1|$1e^{hbb{Y+hb+2MOAlmo<pDO~1Z
zJ?>ce=HMccDHoptu{oqxu$KEPHU1zr{}~h%#ALD$@*Xmi<9Gd4R{}cw`!&%<mt@C_
z_4smW0$^kANTmaR4Fix|c5v-Z{fCF3+<&M&k~n@Mx%?D-Zei!^2vl~}goaX%o0=41
zO(_N;`~CijZFTO441n1-z}m|OZ4Q#|hMj_pgUVvl;3t{X(8rB4zkmN8B`nU&6w8$t
z!y_aVgJaa$W$}FAF!Apli!?Sf01^l!#9T+LOfLJ@LQoE3Lnz!B*xB==ME-;lup26r
zO+F&P{F+50udJ+<ZU#N@)!vd}i}3q?xH#ulQuI%$_i-J(qwMGFbkIyddNVi90u*0h
z@%b$v$ujNvO7Q|Qw7Q2v_+@vdItt`CL|h&b+RQnRC_?tQ0#RJO6DuVXS8x#T_wxl0
zsut%A=7>PJi6FQLR5{%7!=b(iaMP=q((fGCU!%-B)*!^%01<!I_GTv#<KGI2AqwoV
zapn~$SRVonxJ%C?QTNK1-w7(Y$5GBw#hIa@p~=ajE(Ky%3GTT{?ka$nl}IB6<1m~V
zh>2u^uuEM>C;2yTaK{1YJV8U}A=D(qXxXRwBqYJp(xV-AE0@ub=*D$KgGpA4V;XRG
zwO|yc27`|Ky}L1WUs-`BJjEGY=9votk^ScbB0N)&y(-uQ=o~T4*L>xx$LY)XJ%x!5
zoF{j|u$^4MnRE)xL!Tgg^*#nL?dNy1dH#tpsWj4^Z2)K9iCmwVK3t-2VWy&oqmCjF
zM+S&3;>8T&%t()atkm9~+6grXr2~gM1CVp!5DpN}h_(X(i#KkcB)-(tcWA!LV>its
z%VZCsM)-lVNMGLHh>@RGAZq+P2a?>wZ4Zr#ey_{PI5cJ@1S3o?B?`x@mf41iis3vS
zLC>=?wUnK??}<dj#H70xqXnwnBbe@;ZD(W1k+wke2T>7#>5dS;#$VAFc!z{K(v!fd
zPEZ5$B*Lg`hovKrTkO*W>~k|R$})CEa~PnG{Ab-aE&-Q@$?p%_y4OeyJzi!6P(Ub}
z+!Ua*81n2xAK?|OAhGW_O&0|qf_m9_^;$2foVm14O<G*cN*kVEwY?l2jt0Pt6lCA~
zM}A3(5@X+fNnqAUmSo5?w<m$6K_pGuh+)SM4c#aal)`+*6Apx55i7hUwkB5q{6?6L
z4F(iKp;Eo-ck^I$mw?-TrX*kVGBSY$0Hr`~qyg@pWdA>Aaw7&pVeFTmteGN?lpWjM
z+Ipu2ZVG?wkXfNiCiuDtY8>%byEJiqU4H<SBn8rlbuaFyK6qJwtcmCzK*yfn3SN~$
zyjzT((wD#Sgr~5eKm`>QI1e2F_wU82DK4-@U;>9LNlz&BcF2#88i9*+5$=?gmhKn`
z4KR+Gl2GF&Oz|~9E+~c?ykt>TRRy0(lZ9DOiGme_MpHRi0&Hx`0CQ@V|6mxcuitQQ
z68SQSyqQLom6YDedq)7s@adB9tQZ?P!qX3-tr*A*tG7fV$h*C;INBI;Zo}6qNUi1A
zjrk{`2x2u4q%6Y1;_~5f=GzmcuAJ%8gnEIM(lU0P5VKyo1;okz|JQ4PX6zf`fU!?A
z^UX24wK5ATDZ;fvyFHR0MFh*w$(f8Zi#cpYPDF?mI2vDEWV_0uc#D0mfMHC{p55Q3
zVg+79(hr9~`c4XI`G*=WI0mb9r1r|r4yV&O*TU$s$9I-mE&5WV_c?HzUmjxSB0P#g
z6i8)_jgR99^=0x%%IwtD3E`)6ii$2EqhmhEQ_fIY&+rkUjH;>ABi-*r{DC2mjb02A
zej0>iz)(n^BHeioWm!N(G&QesC6n$lGy_ruF|b=rT|J%;95sk6@!)XAb8~^+@~-&X
z%b|RV)W~<%^a2hd5Ar**t64lwiR7j&foO6~bEQV2*iC`6xQSR8e($J}?g~@U3Y|=v
ze#Ygvtlg=a8U4m9AfP)>PkL&#(hXEL5D7VZxTvm9pRo^?&dJB8#n@+jWX2LI#_hDG
zfN*PV6wUt(i42ervZ2nu#|PVhq7Wh_CL|2E1YuZr#n1-UVbwNKu?PzrFm_R7N?G02
z4x@w%ptk&!&6Dj?`>VdXa!mz10qY@H#{ri~KqJ{i+tKJ#Gvh39w(@ho<~G1KQXpH~
z+wqi>;Mhu#n$EVj3QIMEjZ{))u~BaA(Hfd@FDgGW;<Q1KA|f+UW<5ez`O@}oJ2XG-
zHBp-TT5@-jrchsmGr|QSQv=%vx9+S(2sH5agvgj~CPOy}Lk=1{i%}ce`zd;<gt`#f
zI0!mm4qR1Yx_l>O<PnAwp#znWeGkaq1Gf}-Z1>(mBgphNFZXIY7m%-X_$Ge2B!h3>
zK05_zp7qhAM@OC1Q4CQUzeLYhV&gmRyxIvHN~EJj=vJVwJ;E04X=V@Gf(cDu-4898
z7#SU{pzp1eM6a9$mLs@j>fA{OZ$(5C*u2<M|9@+Kj0~k|1cA^WKx{oDyJs4LXfS#e
zbDvB|+dalakdjjT{!7Ydu&kW-3IBYiZzI$yH<?ouRpN?56cuF0m?pIsmxMe{Yy|)b
zKe`upDe`aKZuu0YSij@NDWhC}R8APmBL*Cvzg|tFT);*wT5KCi7;j;2ZqBQW$gGb5
zqyoK&xXVv90KlPnneV{|yxYCeQFL=DN+94R!esA4U;-wa!?{OGA>^M)INPxRm>mK*
zoPnErB#)*wlYqdu?B_#2|NpI5EEB93UX-w89n2xBk^=IiAqZL;XN#Vfcbs60o{sK`
zcPYxTagG5c>^X#EH^^~vyR@<7&Aa_#Ks9G~H-@KvSG(0FiA+0y2W_mZR1E7>qD|_8
z9cO^I8oOsw6?vDD6l5jpEc$|4g5KYWv-i3<(RdGu*txyGv=HF%1qQyv3EqlXASN;<
z51`r=_Zn|R_(Q%(SOo$`)7%_`5=BHMReX^_t|Hp~$FS<{8Rb)F7K5c*eAVsm>QV(U
z?+g!tn|SMs^Eh=SN@$BP+&yznI-G#f1Z!*ARR!Vg)1r{(NpC>J{7i&&b`G=*D}%HS
zBjwj`fyTc)!2|*s03hB`XU1EMjg7tN&5O5y_I<OP;cf9Y_3K@_JRHaenQ6x4fCIvD
z%0{=<c&$;l`{%=8mTLYAUV8iM{`H<J@RBS^psiVlMLGGmdJ|3WE6!Y0JMVpA*WK6W
z@{K$Y)CRrE`AxSyR+y+Li;Cf;?cOCe`hUzLG0Fp>ecx8Yb-R#&;#ojx0v(9AfHjCg
z@9c4#9#~XHR7Hn+UtgYY#euZ>$nk{Ho~DYat@<rJz>0Ea^i(7bxQ;oxoU7wfA4SkF
zn^0Dqb<B`k4c7D3&-d_Kulx7=ir<Ct<=8-Wfgd%S&Mg_FataQJ>V6piFlGVdM<B^p
zFax;)&bfFM$w}V+f+Jc&975uT%C{bAVXJrhru#rwFe2A!>H+Eo#*7CUljC%EP9ET!
zk}&woIyfdr$bI6x-!Xtd{{T`WF;2xaxbk|`tpB+zdr0bi=KTxY0{^Ns$*ZPU@ET5I
z!k@O45es}!V=#pI1#Z)#CqqyAn=M8?KA)S5g%Mz|j0;T#DVP!OV?l=6PJmjh0inZ)
z+Iw!%^I-7#D6qiz&xOqF6$EaBOe<u+6Ow%R_uP034Gj&z5giZ#nlu0YUBXud#PVRa
z{_S7}z~@&I2dgaj+|+aZ89Oei-C_#iOq*v%SPzL0Ks+Tb&Sm#*&62nxlD|}-j?}j{
zjY3WSBYe3sz@y<7ZKwl>K@Tt5qZIN*QH(Rg`et?;K2ShBDF(462#a|}G<#r8i+5-z
z-;oN&J*p_*hP@j|<_@7#ND}KbK_E%M*(KVJcXJTBpDl%;xeKK2bxgiPSQVH6gd!A?
zUyd)suYaO6kAO*$KG+uex9ByK8RkGX0U0jnB2{MSLl|&zby?ZBM5Um7WHb+io3Z6$
zhRC^7(Ug)KAVNE8C$=Blo%^nVpA+V`krfh`ReI<JpNU2gA`;<<t!}%^+W&QQ;z$AW
zKYu>|vl#GTql4V%S&P`5BPNZ>r@PFoG#x>?!f|GySCOe~A8AH%%ou^01(MH7yU0>x
zrA!%7r5ik~fMINmaPzQ!LV3`Qi_?^opI>+h?+nUnMNV@bmPLRMna5A4Ie<V=$|3Dh
zx^d6?++20XB3Jue27+8jZFkT1<vjY(Ox(-ch$Mw}@v^~Yz%ixVN!L2qmAl=RuvFZ-
z3J^me$r2TCiLws(l~g6r$(d`WS7z+j2SXo1F+QVMB8+r4H-H8rh?by}!`S)Tr}>8=
zp?;5#k3RxT+F<p9_cl&H5@%BuO+W>vtn>RpAxcWW=u*r(mg~(<Ds!pMPyV`5|8(EO
zJ(;J7>;>50qB-gwXW*ZyN}ELVIV;Fpl^>u2O)K48K9Nl$#DToiE>J(c|I|!K>sDdB
zQQYV$wDv%J_snuh_Vr;OAG2~$QWD`g`2)aU2m>{0Qih~<@Q`vUja2*FEZ-S0ikLF~
z70yXawQM_CCSG5CaLt<lATZASOs8tN|3%Gef*u1ivwVbiWG3*rfgFep?zhI4{M}%X
zFPRxAPfI)k+5E!hymEV$2+G-?0A$(9aRny&$6%(L^#@oi*Zd`9fX{8xLg{a$CuI!e
z)MX{UiwHTQ=p{IaFo4T{Hd51XY>cw>#@YF6dCIL^K8L`@x3i-}K7t|XpVO)FwjWLC
zOM-M2wtXPXBVpJ8h}85GillbyKT3ehBfQ??oB?Z(8)ji=S7sb@_FAX?T>?IV5Fqz<
z&C{pf#as{A-bH#C_N74_*)4AsD8_;7TV@Z!_#<Gc3t_134ODx#RU4E3WWsO2XWxao
zj3a5~xTqQb*%ZJ2CrFJ>9O&YqOOun@a<a0Nmjn`GSjd<XSHD0dC!Md~`rGoRit{f6
zBH5tCQMrYas2O-65E#K)s33(W5@Hi3Lcy;7fn*P|?lBsG5HxcH$JZZ&oRHq6H<)CL
z@Czk67G@$AU@h8hJ9XCjp%_cVCNNIdU43||%e4L5S#2#U!26dReO)!Y)go^ir110A
zp2WgBGeQa?jNeg_WWp&=B8hS#0sAZg2;v_qOiiHmU)%&dRJ^YsGA5>MCXc+LqDI%x
zES^Ie-*ZqcYYk#2h%(;!&aa{coSM>pC8TupeTBih%cfBCRUcj4_qRl3rYYzWteaeI
znI6Fm#&YvXjF10BvK{Rswu@|Uvi=){gba6}ox&*RFEjX^@(yzmr;aR&8_f~njmp#q
zLM{r30C+zcpWU<+;Bekmg!0X^(_O=mKpkFt9!-D>3?zQ*@2@lsO+NVV&`V^S&RyHn
z?mBoxJJNeLy9|-9wE0dDLO4Le?#1`7U*njVm}Xz!Pq&g`BJW%|$YS$6_%XveNHGiF
zx)emQE)a5pYPs&t%8Fhc#kK@;9{ig6VhyVJx(~lnPj)@JJw{ULrkTfmBOY^e*R=8p
zZuNIv*WHAhH!0!_&+LK|lS^quMKcgZs78hNzNY6pwt>|O8BUy&tlLG=cLQM5g$N5{
zg;i?O25AS!$q(N(IGt14o#R3)EwPY|#Kn<|4eNDRpK;D}w%}s|k~T<Rs`n)(TNX|0
zqFS8U6Se<T#E)iC3A(&_IzD$ThGDetfkw#>Sz~3~NF3tMrCtB?r6m8r&?bnz-O^a!
z^^_!{<H}t*Yd#_0^5;%NoiMxWdgT$({1$OWwqrfF=ph)ETj0nwNky_eU1>9Ca^jxB
z*N{%M*=f1^Nx8xZL1jE`a!(x}g3Q({Q=W<uKI!Dv)umwfQ+<}XJ974YYPg}Y>KZX!
z5Wod78|B191P=>%pH5+}O@}gUj%#iBgy3P|z`{V&98zwLjq^(2z*%bKcG`I|JuR*3
z>({&>bZ#<P41qyFDn|?Vrna_rjqJmYTY<2XUWfTDSq5nK6tT=eT-JJP`$nfTRy*tF
zJ=Wi;cRv$$aQoFhp_n;t7mS`b)|$!cUoaxk9aaLjxpESO4S#j=^D3^V28}Y*pw`)1
z{w1H;c3AWy@LgVKeb55$TkSaA`-`E&hE7>yX4g!#?+TU2b@o8wgtaci2K3yth2bMy
z70ir;<64>tjU{cu1QO)csfw{W4ZIlIRom;Q1j@_k$`?ag_uMr%xpeFL*%pu=GD>6?
zBA72N_u*F=-t-)R9{hbGIWmk<b<$CnJAwAh%clbRj69%tPUX!SpqH^^J2|zxySlRO
z6Z5LLxVV&M9ozVr#q4RN4ksaE0E$e=ESibG_?iEQ;K4djK}Nu)FN3I4@poc%YsNu&
z2sQn>cvs$YF*h>R9Ha%GCG_v^a%QUBkMtngbDxe<uSYX#8Sa?Uy%~vrI5|ES`F?ii
zOWI(NR$cjNU~caEV<Ac9NTL%D8&SJaDY>w>IX^ZW1P<eLgc^80anA`Gxn5u<qW#f`
zNOWnasP{Piyk7`y4!v2gT46bCpTLbvNM9bXWRuWTR+c`&xRn-6ryKh>Ltc$t`{*rk
zTz(9UGn!BBOqr8UFKQOO?%st<Fp)iW5UX!>M4Q_yE90nqcR)0L&@3PlO5~gR^=y%p
zTrJl*a;wCB0VBcut-0W3jz)qV@F}Cqas5@103J-YEBEhygm6sxR$$T=Wtha=2qv#o
zuQ3k|cM+Ei4Le=(FKx^DlVTFQA3On3O?Eu9*5?jHo^aKCywS(UoDn4UToDP9adkqe
zEx(-VJqh^?qo<-y$txZnDX##32LO){B-JN?s4-)s+=&jV6SLFukkz>y%|s}Ds`gH&
zL13L3tO4)gL)@w%BUY;+iHGa7c-CiWZF_dMwnfT~Uy8T0ZU(sYf>?8c*jXZyPk)Mo
zZ#YZhJv!&w>L)i%7Whh>#=+B8WwTZGGSExSKenmDpsng1YY$^y#_RY3yJhcR47vyC
zV+S4Q$xojqSxGHGh~5(nWI%}K>C;h9-(_FVnKI6Pmil5qA*BWI)|fVtJKBNh1NJY7
zt_SV=m3l8;aH)G+v+gi|&Z{#W`&ylu^7`Sk;dJT*bGv}-b#X8pus|=)(YZj_db1P;
zB|%<yOkwY?SbJkiTn)#2@wlU^F-Y!FU7-mqqOQU%B%83~#kYH|<fDF1;Ud}(ra$7F
z5@yF2tIvInoJbY$`hA}`E@TQ6hg;FDJH%2!YEk?`OB`ZfMM*R*K)z-!xVM~=3_Rrg
zBx)jqUR)(G(@E3l{-^kS$gYon_s#Rv-a^^ympwG1E=69yqYjze{G*~~EMMaPavryQ
z=Qsc3Ew08Hy>{gTBA(7X8c7+rFrhQqS?zN1Y315^<r;~X@bd6#vff?6{sEHp4cUeR
z&;MLPzjza-iJykCaSe6hqvGR}IIjEKPl8gWtF*ah0y)P2^s(-HptExZnt*hQM%Lsk
zn%>~MLvL*sNo#`MHaaU+{o<B~_ZkxBeHt5Pm+cn$rq2Y0Z^G-VYIpIhA2W3G5K}dl
z5N6zI?_|)02fHjg+IleGzsL7Y7<08d*lTsmv<TJ}#>LS4=QMQb0sHq3m4y{TxorYz
zYevpddd8HWQ{1e0=-2k|FHq6#86p>1i6SIMKTkgq&{UOw+P$?Q!ziL%nkz|rHagh+
zQCFb%VvG2LXFJxN*1S6`R_2oGK9S2_4d0#tz(zp><yqHQ>rtF+C!ZGUcoTCH!&PNM
z{M}ux$kDu@=4Z@1^?4KBDSMK{EMfbK2lgEfFU7)5X3dv}BP3Wduim!@i9vCoyKpTi
zN<5qEeU$mSIF95|T)9Dqq!m4U>l7S3YX+{a38~BPJW4;0xzD>kW46X0i5QjWuA9V^
zPH+AIx^@JUKr$g@uUWy#B@8eZWO-gr9(#pFiYXv0R6Q{J8FOTydlRqp16S8+*i)=q
zU?uPfIai^TlnC-5f%x^a&n8ArVUK#;rLallpb}1=x@rP{s>kUZ#Pc6TsSTiW+Miar
zrAh0o{nA+5At7nCuRCy^f80L4zQtKNBzV8$C~2l9eSWt{o|=7Gn5d(vSi=`SWAl;}
z9T(3i!(G^eV~1ZeS0sJ<T{wF7{9DygX8x2nKc1>Z1<GuZkxS3HPqDJa#F)Cn$;G?s
z((!P`(ay^J6+^s^MoSt`mwmKCwk2l#E{%fMwag8uHAZ>VbX<hvCwNt?X?;E)e99mG
zjLP)6DF5eY0j840<IiuHSW30zDn1J=#2a5*(Cpj-n(1&~JE7%(=Y3Ory?It6X)bEt
zHs{`nRJ~zuyunr)mM=f<lP7iQ{Cqh)<|(3_L4k<->TqD@$y!3MRG{DJGlhFR)Alzt
zIXE9FDa|SUE=K2Z%ZG<6{Ep-y!8ZW=<*(ZCDl7?#^_<hSg#Btl0VM-V(x}_oZZRgq
z<ON;cWzg40+;O+~43Q35gYx8SkF0;k&78!utBv_WPrT>qnqE@U`gFP~P3!Bc9{0w>
zDvk48*O^_}J*ZzUndC<9ZpC-bYLVbv%?kLb$(+vSn&<3H)#2ovy20{nlRD}8)swr4
z2T6xs#8EC)E)1@(Fl<IUCOjlx^SI^EN<CH4S9sj^G)SGqzC$`#Rl)3W+mjGg7WQoF
zDQy<2)Q>H#3|zBP@3BdAG34jp{d8feNoli+n34L?$q~5vyz4VMdDl(Z8zWqg*mA6J
z(K<7)xbJpuHaa2}pY0Z1PQDeYU$}M6xZIC?rf#3dq#39&!G}}V^m+S(+mzUtOP$e9
z>zmk9*PznOoOFa!6@z|*IjG9<GtTNOIZQA0kMw;CvjuVqN=86}5b{90mI4w1ISSNa
zKQ6bRKi8!FP*R%MFUMEEkZ3MOe~$Wq-P9;`Z^o_YONmW$u;JE)?Mbpn=Mpxw`5l(1
z*l3enh3>uF(p`HedF)?2Pi5ZS219{jdQdA<x<Daf(SmYT#mem(HaSM4c)cn^U7<PK
z58`zdKejXyVis*n=gQMwlLc(fyG@rydFb)-y*qsU(o#UPIGg(iKM~67AHouw`psc<
zo&`nJZzv{ixesSM6lj;OnwkXQ%kz_`R1JuOXY0XM#bp5zBz~@)qu#6_hVgu#x=}b(
zU`w`Z#k!H*AW^m<DCUHTTblmNzj$uT4QJ79dQZM%CHX=^cIz)u4&om|(SopstBY^O
zyU!E%^mMuj!#028)e`wGsztwk^ygJ0I8CUZF-4ix5S71z9q3JK9wgliKpb;ZkZ**x
zL3Ae;<sz})Uh&%!uR_*Jfjh|RrIcw)yenjXS-V@_kOJ_H7dVR?LI0?{|NSEeE&x*;
zqNJN2{$AYQW!>_#i1(_{`vw~RNB{NUmOZsenOoI?2>Qa8V>KQgb7P!b%iRR}ib6X>
z$H?(=5k(vS&szoJeA7Dzk{DYOvAkf0Yz=Ppw5p>`A~E?tF!GdK3jQ>qx`>*1aS4uj
zb@lNmQ+&*zB`NXd<MRm~y%nQ>htvU7Rj1>3VqpjcvhZXEzl{a-#ISaj2*qXm$4cIh
z(eYHabr2dSuY~+BG`?L$vt$z<nUL4}^ncF@!A=4pQSHgkwgne$@|70E(IP7YnOu7t
z@#|l;%l~#jVFtBY>cPQofb4L8;1`iSX5Eu97(7uGSTjN?-z3<ha&k=fAx;?o-+ujk
zakMKMo>i81Od{7O@vuSs0|B1$UlEt#lL+y>ey?3;<+$Oj`(~OBMRgoTwf6gxx00Iv
zuk8Nsz}aLo#qn|sc53*vvz<21owUCD)ENDrH60;}wvN)1kF@`i71M8h6@Jg4ebxU*
zUVz1H%t92X-fYZ1(B4)0`=i?xW+{t3DayLRT*dm|f|39CTtp7rj{{p6ve)`P{nn!X
z_ak31DUas`)89XIj~9JRxs-gS<q+4hyv&$qFB(QH6sMM#Dnkbst6pD@w)ubl?msyK
zMIf<^`xDX3|NX<?d-damSv@q@IjG2uJ3U%{R`HuY${<o{Px;E{^r>9qFS#g}mH&?9
z|6V0{2q38ymMF(fHcS2rtTTh(B+bV&@dUOwTiO=|t~*MnOHwYhQut2|qS|P2+sw63
z9@<mBuyrV2wpLc4Qf=Y*xTXKGn@YJ-w^5WSn86yFjMH9DERTL#oZ4$%_%_TH=g}kG
z>HC)Ny-saE?rVQ6W1!+bZ9L&9zlVNWm|Fcozm$9-mZ6HA+*C8Dx7R>+OCE15yi})a
zVrI1@_!lmUL5f&Yyt(_pRlteJHS`8o_hw3Xu|&8m<F&BE!+867F={d|e+4&2nZHSw
z|9g99v0|1F8)z!_X@@908O@jE-)01|E3$YpqAM-QJ1aa^BpwQ=A}`62e5#GKlGjT#
z@c|2OLZ!cfi|^^x7n`F+yf@F;F!sJ(dN=cS3wNThGD>+Lu@F!4`2`=n%bpIV`{Q`X
zS?zo;hjwsK#PL~&i#NyUW+IU?J*I4)<EHF0%{j3e>9M1+Jkw{oy4!<Fm_8X6X2&^6
zog86n%4SJ#KX0X2t-oiQjx`b=(_n?w3VdZDzEvU0MGR#1=^(SM)2AAh))PBYArA%9
z3E<Ku*@l!(ZFF3vjok-?_Q|M*PxI2(KV2#6v74?Ay-pNJe;pWk&CZ<0r7f<dq}Zcu
zvKl*Oh~H@GIHy}I#ci%Hmv_xKHS?u}@y3SC@{wKr?8hHrvRP%=H_o5(Upx5pN*hJH
zPh=Od6qS#0-meQ*5boEUQS8a9)qtg-E(|P7X|_DlR2`{Eu5!8!bus*WU*x>=+{fCv
z>XBr9?zJ+<$4KXebiej`oFI)pK1j@xl7osmSuHl(>L3`Ux;hZekj}?@@=e5+TMI$K
z?@@D|xV8zM_gYU*8&)qesZ_2u6?TF{K3M(PNXKgrC{n!F{b^CVvS%mgAn-DWGeJNP
zOLOqOKa(D5^2&@#=Pj9wFgOoU!Y9U5&twZnuiN+NYe`NE_suadjKVz0>4PG#$uW#j
zt4jB2)3Co5?&rn?v47G3cJIwoUgl2(mll{_4Y|JF7a5UkiNw>QZw+sD2zAS=<JjE7
z@I#TAtcBi@k3_K!*Br@)JvZ0!Wy5>X_eWLd^=WdzMqPP5zF&kOfx2B}p~<dYzUAQT
zFOkpvgWntTKYxDnXWjnENUCFk*Avf5r<9H6fz!d8hORF=yCcF0hPAd|?PlCpLk!xS
z`-o>YH#jc{=W5>B{xe+E$gxY+NXw7x+w|*3^H{iDG8ETZ!$}KWMbjTWH|ZAZBq8lE
z)CxZ3H0p@sno(<f8%Zhmie$j<C9{A1u*w#Oj;e)@hR=mUcA5Aoj`T@p9yy&L(-7v^
zY{{!F%8|}{U87e#)gfd3WikyGpVpWEKzB<!lFj7O<rHUbnz}26|J;^|SyB7>GWNWP
zBFjoU+<m=iSdE*fUizg!_ghx$r#D6==zZGzn-VWRm)o>FDC5&z$hZpoc#%_^$}Siv
zW=YR+^Kr>})|V#b`iyD1a$#)iIO{NYFj=R5W7cwFXp0ot;a)XLzmjs!lGo2q!Nr`p
zXNh70PF~B^rW)DG?DJ2fycY!=<ah8b3lH~lFRbUk3&x9=DEz*<V99y(*TilJK|m$s
z=1AX}#+lmIAL89gTx{8d)?=aIZU2@;_!I%H+KAtML(a;zMQyV0A5&AO0v65Jip2N>
z?#HXNI|}D?zl@<Q`H8(DT7K1z{lj}Lo0NEK^UoJlL5A*>l-^5WmDiVeq}We<L|hBF
zp6gZ4RiBT&mHa;RTaa$3(%wFQK+{o%h4G)R8llh@A-yn8CX7l`=%RlQ59198N&K`9
zKiPH>^%EXwsI;g5VxlJHKh2xSX2(07d?nSRJEC+Vx9x?TjM2DEdV>6cF&W>vh`~mY
z^VobfL0r{h{>Js%?lP_*tX1a86WrsZUK9A!S2D6%t?o|E9%lVs3EQ+B;mcj4iNc#7
zbu9Yjgw-1t-q%cOT+gS72xMgAr!>4PPa8<IqlAS)Q1V!Md~R4@usDqdTb5N%HW9xx
z^(!@3N#Sy5$~Cye*lO<qh3}bX(zz$OBI|~Wusr0j>Meb5*^m1*UAT1R2V#U{`1opQ
z>ym}+thqS{9jedA3FS$*7q;s3nJ#ykKMOlYZ^?x-vIqp@JdODH!*MF^af)Q@V|>>M
z>!Qy&!x}xG%#P(=FtBFj44E=ow@8JN^R~QxZFg-VpH|5{*6^cOb#&)P@-NDX1<j|W
zUppQhRhAvyyJMtHTsk#1aU3NzB7UR%o6~XNXBid4deoluVH&7-S2f|W`L-Iu{{jDn
z-?Idlll94%i*UK>I(8JwNo!eAvzP@OT{W%${PjJQG=(z>!ytB57SCiH=az>Ll=Bq7
zcN~9-$ja6};EZiu_o`V7mGoHGjyH!ECZ?x|U0`WECP|F!S43LEB_`^7HZduc*jSgG
zV8@!Xl4JGer)9EpJ3~0tu_xBZrjpLd$+YL6!+eiV4?WP|DTHUwDD`C`&pl`4WlBx2
zF@q@18ps8a^s9zZBMZ9@A6j-~SI|NLBCrZZlDJRcqnKy-&~cvaghU?ROZMzLD}7MV
zm-R^ny*qhimSyY7209j7ysfW$J%7pf2zX?vdb(<Im4|TF^)a0~K_v}|FjmG?^fi7h
z@4r+25);{~yp7XrXf(ZydGYa^^4b$a6Y~@&!9OJRD^7}6_M>{EU$>Pscg3+SS&wI<
zF86A3_m0Ur%;!}5HQG(m&P~~Fl6pG`)U{7SW;3KT(-rBt1K&QsyV9vp6)47x22s#K
zwdXW_OP;)%$-qq}pXR~XnE!(Dr8XU{@=8~#MsnUZp7#YU_?Vt%z3lRWzKpw%Pik1=
zjqw*ILg$NmUUMBuceq{S@)Lm*TAPjgn)j?0%PQk{zbI$-K3!9Hw)Y@JUEhvyOFb;^
z^NBd5C;Mukm$7iueUnXj+M6wjVfZoiVsE7`OtDHp8x0JaF*&_T9%ehwZM{DEhRU|V
zj@noL`Wye06}MkQ{c^lHHBkz817F|GqyVg}O32#H6`zm%11>7f@ZtDX#Rd@s2+8$;
z4&C|AfPM)B;y$2{{Su%?lP{($m*nvVn0sLjBo3YAS-bffEe}OTqC;9(9}+YKy5l!E
zgl4l*dHQuEu{|X8BT)Ts7QpYv(*-Q@vTs$%%>SI7UB6}Pt_X$V=AO!C9=#lTroJF0
z`1n-EJvkPp$k!zQH90<AjQ?CiB;=>O*(zr56Ji|`bscM16MWjmF!F6=W>%^X^V`G^
zCy9k3S38N>8#3;s!q@K$t2J%)A@|ogqB)CrX7yAQ?*?h~t3Q_zDJdv`el94`sHj|7
zu_9{jZU^+tw97ZAwdFsaE+T0yLfS`ig8aQga*ne1g>PELKUA>99%j}spPRdE!Kqh%
zCJ56W9c)n_p@bX>1v#yVo19F92M@&$*gLy^?(jlGd(V>;UsYaIH`lfB=%~#={OrW<
z@^VBCjQBRWPrBmixgW+&a3y48LtOB7!9HLF=hMCFjGogEKA6WlmAE+PY0W66qs6Q1
zJNo-qZzG_VZO^GSG<YAAC)nMZbR#qt9U}?u_Ix*6+%UFWmSrLp-{i`QA`b!#LsQ%J
zWVO8a{QlCj_s35YP8R(YzIkFKbJ?$5nin}sCP_+iCKl5;^$Y)+Gj}<WNs~5_B>ytT
zk;p=QNEaT%{L3wY^Xc>j5wG?8V#ARX^&Pv(lW8r5Pb6=KK3j1ombyNRn<_kS$cwYE
z!N)zpTq1d4d!*Wo{s>{;za}I4Ya&V1%Afbph4kP578Z*sz}Ost|L6KQ`f}dHajNK?
zQar!l?6~#k!fcnsRQY(psv6-ESAz16sRU7drKvri-EyND`+6lUSDoFPy~YCPIVL8(
z@6)S<uX!{yhTaL<tC3mBPT|guH}{L_w`O40m7ln&zsekgR1^`ETN%p?JeK&qB@{5W
zt)m&PO_I@+Zr<PK5@Xbi`(nT`Q{8PizRf=<^-?Y!NmGz-{k33N{mk>{ETvdKuI;TH
zQj2N?(Qf`gnUk6`a6~Mh8ZzGB&M1n>Fgl*rOr-f$kkKC2DqjD5Q`=p5m9#jANU6z=
zr64wmQ2LmJ4hOA@^F2wgzn@{<1KifuyYX!P$jj$h-^dhVJ@=KC*ZIpVSx8s+CJhOS
zc*=~s4E&HR+;oM;zC5zWnkX!Cz{Ao>r+u*hEv{VU^S$*@!W5!>2=DhA?|5|-m*kc2
z*(?`-L!wMth!DC_EkBx3j2<Hbr1z9GVHh#MS`yI-8ghD#{nU&D*}3`gmVdgeKI>B@
zf_)qyr)3gIMLi9zeB?6SnO=nXQ-)^zvLWBBoVF&*nB-~*JseJhr+u0x80gKL^*}oK
zi+NQR%YvT7L|sD~)`9l3#PGc1+y!O%{POWSvq_(5eA0ziZbyQKr$YDY_X8V_1~Q!7
zXxT#KZLC_ZMBk7WJ}JXl9sd$CSjqiI{o5mbihkCDf^0*yU!0wHcUZJrx^>tH?S+pI
zv3c8~rn`K?+<$pJU>*}W+l-!<&X{$m3$x(d`y%Z8TJwQ`w{gV|VO{B(<8{fyhW^SO
zn{7G5r`Ep6F`^mnHh%*7L!CG?b3HZ1{-|Y|)y7Nals4F)OYbM06%Exx7n%k5y6M+X
zl!#h~B-gO=oi(e7dai%Icyo4GU$sXoAvOQ1A6EO)!Y5?UoOHm8Y}xW~kNtGILG+LN
z$9lDNZrU%;H4;D9KB+xjHaKcOy$21ONPD2D^*gFfFnnX!r(|Tzw#VK+O(x*Yk0DhH
z&Rs(+1G?LU*5G?cm`>H~kG(aH>$&ZAbjCj!TalkSHs95A9e9+^xLv<DgWF+-FhvmO
zz5Bqd&4~{mpv3pt)n2GImrIf2`3dJLt&cb@v&ERVY{%Ix(B~$5G4#eWuekPn(W&Z~
zw^-`9BEwMcxltkl+)Yb0iG;mS=YB^&f&cBrm*tR|Rsw<Xm*)xe(r{gYqqRb|u!_)^
za}0S4NS|kGyPEG5*|zF3o&BQT@;W(Z-GgK-$*Nk|+MXJbfBeNK!m|rrWmB@Gj5@Df
zz41gq$2>4byUwkAf!^~;xHg4gRPpm06P1LtK3q-%j%I)9=XaUOaQJCDy+|w<)@83p
z8;(M7N9?*fhVs~BJy(3re&@Z7OC~C<b)3_i*_bmwd0V~v!IA%k3YW0QrcC#WkU_06
z&chBAOejr5oi|G4#mFgdc!v{R?(hOzZw_87&4YEX@=D*A?jHB>@%30dEhBbvU%km%
z@L5G$Hd@E5c3;i9Zojj7wEd9pya@7xe;!?ebG(Zt<LBh`kx74{tK;j>I9OH|up-a8
zbB4KNL#+4&-Si=2%^%l$zgfD?+Vaa6r!G&%Se>KezcT#Md0wB+TAX%QLnhPv*x!z+
zE>hvQxa_~M>1(nt{gS-0C{Vi(*bR?$c&ksm75rcgQqvtD@Tgi6DQ%4{czUG@+BQja
z_hyb0+&B5NJp?Jz2NzyC^M=;H^?t<IxAbj3iHjk~@cS#CwBL#NFNy?WIw}YBpR2lU
z3TU4!JD&gWJK>G&C=;=eK^Jx@msSZb@5e8-tz;BP-QL;>skvT_z1UKmQDg3|TGbk)
z-^LjAX6W{=GvzuCb;aLu2@lV))R9eW?*2h9S}s)_YQ`=QcflW(=;Zf%ol<kSXjV^-
z*d3GL7j2C21`)OX{VJ++5l_bT{ZxrWjSKyF>pw|{zh%Vny}o1*=B1J}EgQI==S8m1
zd0(s4TAzq5v(3Em!P-7MMEk^RKGowxm@hP8i(kYH<$kk}9AN#}$KL*pdH8f;20d>?
z7?*8F`T7j*Lvyv8mz+lvLEo*+U&0mF_6{OU=HmQPI6YT5G^r$2gDW0)RL|OduDHDA
zA|PQ%9yL_!NuOrAijasUEHndE?P%ApD<UR(HTZek2wx>7XR&OHw9S8LVGou2{n&X)
zfJ@prJI_mb|2%}ny>ZyPCkxL5w_R;5T}P^e7nf8=N^x~vRePKn%h1fK%=&oBjL7?8
z@|)D`X?tD%@M9a1V3P>a7kldGSQl@YClof<9U7nN^p~)kiHF&@ld;y2)LpC4#J!X+
zke%xnqhNvYscJ0}l9Nq@?k4U!Fs_{Ix}2~?Wn8g4{A{t1Ye_ob*`NNvcvw#V=~Rax
zNUPDvP$@Y|M108l3Va#+=7=Nho5elSo1qCF_f4X(K8I9TT#3QzG1FVqFV??$?1#{L
z#?@2q?NuAD_h-E|V#@{Jiv1XetK@7|YI{YL4s}1RJ2-uG*@wip@~*NqvOCxa8d15%
zJQ8W}!|~9ic_sIOha$YkYCeQ3l-@FFMUWZpfEjyvSE%bL)D-Vg*Ugm7J!$xfX^d!B
z4-NUe=uPm?*3S$VFJ?I33>asH@up(bb%|V?Rt0>-bm4eA;^nnCV!$gs#cDftaS1p8
zJoCrv5vuhYAv5&MZ4_11#TJ<xrwi<4OPLI<jx_E*!ST+`h9BLi9z=<)EAwEud$QW4
zt!!@_$Ltj!J*VtZcFhn=B+FO>zvhP(^};7YhKn`lO!+s@KYn=Usv4KYmfrWETInP5
z_}+K#gvWV}549)mqKzgxqPRf)7fnKCMZ(fow%=%X(=5nHB1)YAjn_ntT)2O?gVNIv
zpUXy%B#`}&z8;EubxY#0SxJ9x9_fVoNPCT0|MH-4C$rz{tj?|GmWOyyqw$Q67EG-k
zBdAetP=@x_0r-y;&D0!`sxq;vY$aySYy1WkL8y@&6H)5Rk2@bsACr7^5|?qpTe(c*
zulvxt#7WYJZ1|f&1zJ3(^~B@xkNG{r8Hs%1`rt)Jmz>$>m)tRut7%E*ss#$moNw7O
z>=`rBqFC~|Gj!ycwadRcnEHvVlm&KNZa0$J5HIVWo}5_3t3dlo@Xh0Y6+4f3%vf_V
z|1#8bpBz7V!z(h3DyOU;W33+NRk8X1@${8ZZEan<Em9~&3$#e^;#S<DMN4saD3an(
z2p%BC9g4fVySuv=cMa}txjE;&-yI`A_sH1E-fOP8=3@m#$=4kb4u_8ds^6qj9EJxG
z3(GrQ<alZr>SM-!Vr9Qe(@`+6CuP+u<LzukP$IJ(oYK{qj5=U0O1^|fo57wISkf>1
z7okdNM6y0v4p}?GmJ7y**|jI>nfaH_AkKGs{@0asiC1-(_TrN4E4-G!7sEaWM^u>3
z+d*D}s>oiXg=pzSPHX*VQbyPGd|kx(`uroIFiRnfCS$heBfqdA5c*@L<}jxVk`dXE
z*bzSOO(yU_;A{<uVqJymLU*%m_Yg9SRph3~0)vMJXwN}d1jojXuGQ|{oQvbmD8&=m
zd|Fj={~gpWe(7*O0zEFQ(CFC5OK6%H?jnv?QCh|FWBL&ZcFV3PRL<~xWL7%d9i3C2
zPD;lm(HmoFNQtmod-Mf4vh|`@m0aBY8M+)?UhmV)@uJ%1j5$zoY0&__jbG7iV;Anm
zOEnaUi1lD*8KjLepC}*TJkn;D)9g6BT}b*2ZMV>g$Ny(<l_w`p1OCMH+ta0tRslGv
z9k0m6E-}R^Vxp7~$CjX8sw+cY7>C^VY)#OxoC|)UMP$^#Cp!-#jlSPCnDcF><*P^{
z43V|Vr^mBA#)XWRG*X-A>P}kTf4~*XP6sD~M6};TcAtO~!dq@>xa<<7_1;(YO%%|=
zdQXi*et;+BoF|&nJtqSAtiLkPknqV)7M7`d72pM0-bKHD*bCwcmp*6pvfGa%b6;V=
zQ+d8a#7g1lzxvy3J#3{O#|)J&P20||m>Z`uILd9wBJ%d$IN0C+-pSp?KM3<wdCjMA
zajMsl>{e~MhzQsPMt*$PwKPUtgs0wc$Bh|w`}mQE#}Ws8tK}2JMKyMx6l)pb9w~#^
z)IVV`|BflPJgCYcABc@W-9M@>BjX#=xa9*7R__U_$=;uQ=Re6=H{b_6@@Xk6rBg$E
zLeZDIh1BWPI#TLLuR0BVQFG?!*bDpYCG4N@_qb7q8`&%ha((skl=9HroTKpgBs6&Y
z6X%gvhxfLQ!K(hkd42ZQS@~qrLj6zgL@j_auO{#7j@@q~M`3V!=LP;wEPlXVq{3|h
zwkVd~=NJ~in$*rJIIvwM9tLjh_Bb(OT(MkTmPbJ=HU~gxNs~ELsTCDAC(`TF`2tTi
zj1#uIDb*D&V1pEv4sUxt888)c>S_H4Vt;&%Y7p}SxgL2#Mvg@XGVjM4^YD(HT29q*
zBu`2Z)u8Mv0z(~Bol9K;#c%VH%!*E|3^n#%%*_npWM;>bu8+|aYko!B@^@3Am8tw#
z$NeUIYCv=AwKF@pw+5PbxSgQd99*l}1zv#|UsmJC#mm@EDw3^rj`?czO!Rz{n+ifT
z<|RE*6<66HHnfW`$A*5mL(7m-<Lo0z9hY-C-SVb3FH!+W13#w3z%AhIP?o+*^PZx4
zDjKzCAn2Rk8J<p6GyPjY(rMUQSY{dk17T<I^ulbzzPW37l-^>_j_~Hu)%h96?GhZ~
zy=9|bqu0^rV0P<($rZ%*QSct;4K|Q0;Nr0x#$8R3q-9MdP9@q5Ta%7c3|9%DnQmS-
z(90li35@l)o>g2tyl<-)64cw-AhNptJmn~`WxwhwW<|kbaCc4~`>Q87E@so>Wvwy}
zDZFE&blI_woXbffwOM2=GroPvwz%zwbS!fUjT7Zn7K`F~*|Lq2kr9hCG(ceAAYQxW
zElYZmq%*OoOxf<WsVhstaI3Ag#v5zJmM-#RQB1CfsZ9^nP9?!Jk_Rqg9isk8Q1xSh
z3eEv2_ByGlbe1KIG`-YXYz!C9w7i4^WMkklc1NfLqpM<9yX8=UId_C}$*F>iBYr6*
z$b~8KJ?(qH{_4mn%^RZRpRd)U`&~^!m<|ansc&gj))?n^xT9k=p3-(Mt*93vZz$`y
z!x(=)p8DC<mmlW&vYi?IDzstI>GapOZ8*B^#}p*SV{<!0ku#@?LH!4LPFuHF&@j*z
zmGsk+OY^{<Q~seSi_v=N`B5UVk^~p)4RLWX-6`2+p#_9==4h?|blO7|G|xUc;Yd8h
zOp4~V)DTLX1m6n`A(|$5)Zyu0a)%)`YKPph#-2L(!1=eVY$~dFg!ul~y}hKdK(7{m
z5rVs}#W!N=i{j*bd_&xkv(fIHE-VUxu+;YWvB4_3VS8RvQG2T#Wo_B@?d>LBg$tfX
z^QefM@uUQccZA-9)4i~Tb#989lMsEP%c7NmXf9vH<+0gfpM@>i01rM#RV?iewyRS?
zA)nSYCQ8(8wYzx>J{@IcnRZt@D(h4pJ-M5oSk5DSUY09&Cr)nTM40RW%s$aBRc=so
zA61?=709_FF~Em3Z|ep9=%<Y%N0-HKA%2#^P<(;Q!I`=i^l#r@P+r>h?Exa$lj`Mc
znvBGk&bp6NKlxu?KIOg=1JfT7nlaV4)ldJlZY^l=ALG-Mw_HfZNVBYX>dk>&)=Dip
zM%f;v|4%yeg_d$X<jgM?sHc3VOvJk(W8c!7keAf0^T=qr;9~jm*~Lew+N51MuD6=~
z2Ll+IVm^AW(~XuXwUCUWgr(Sb&a2Hh{0HU)2fCVm{^ai*up$pA3E4SwY{~(p8N^Uq
z4fH1Z%{;`aJSx2bhY9sr+pHRsp%nVeim>X(0Wax>nTzt;wS)pf9hXaqsnEASEaLMj
zS{MSjWBR97__is#R7?peRnXTJJt20%C7%s{d$fJdir5ltEvQ<}qZ1SP6T%qLZ$LGV
zSgMgF(FrYsFt3;fON-JFTtGSIJQ|LDQdP&^=#1@1a(8umxG+?^ggc%PgwU!Hro;Zu
zF~=*IQL*b9ix4xqF&aN;KOpRuYh8}G7Db$re<y{Qs#`HS6x{45QJL&kBq@qwoPW){
z2aH$O#BY+PeWZw3Te7^|ucy7r_Ii3I8Ta=;1O>m%ymTb3t)JaqqJ;43wjdL`%+gVs
zSij~hWPlF`!3d6ACS~jHMM1c{`3wT$oLZ~(yHmipGoSvrsvT5f=1L8%`9D&cE|&MB
z+*C-}wF&-uQh9$34&~-@2Vas;-71d3Bejhs8PyEiMt9DQi`7hvhcg-E+n=L$lXTh1
z^gB-aEnC&&eg2s`rTjB>szhYhbyEhP{r0IES^k@YC(~qfJn3GvH4)l|w=EL#?fZ=;
zzU#n^;0vl6^yFN#KOS*0dqk6`C|-#3^^L&XTVn|=B=F=+^Wf4?E2(mU^oZw|2LE;f
z&VKDRDGeQ?iE{h6d%Gx+sXw0pxOgr~h8N(;2K}oK;N8$lQb+`d6);Z9gF0%LLb2uz
zzbuNj>umkPI*P12`bjq;+Wpg$=j=p1F|VzrAxHGrXOF;$x)!59flWP0{b>C+Rrtj$
zKJ$zC$eH&JiM^Tjc~u=<ni))AJ9F^7UmNrN7&XqjwHDUQ)F{kPr+L_=8_t<oi+1-t
zp4?EhO5Kg^9ND>1;RtQkom~P&+2ZvGHqwpf(Si2yP6uRb12XT&BTxWE9pp#WY1?aV
z-~AWY(p#rmVi9i8#M_!cnhCEN&tkR-yzS*_?pF&2+5W?f&VpX~vhFasOJ96)zo)o^
zQyrQ154t|OXzbe!(U2m(G+ZYrr+uo@c<@_jHIJK_K%?m4Ibl{Z+|MxM4ey^O(-aGa
z-9xEjE;^=fC5au5M;Nmoc~9qjQl{VSY~!rVK*MGN_E|`&#1>4L`p%~I1^o#-R;^t9
z-Fy0)`mWW$$D%bH3l&FeC4a>B$G!{F4Jl#=z21UFnunuNDBREelF!B>4WV9UL2Gy@
z*Tl<tu^eBW5*Wr(vJRti2K4F<MpvQpxj16-{e7OMZ7#@a*-?l2XfEW0@Bp<q8EvNT
z?z63+ffQi?{BD&X6Waj-(#tG7J5)(1f}c5#i1T*-@ZP=$APj^>ysJkjC?f8<liyu;
z`Uq5+im9?XvHMWY4uDwB;4tO<+pi+X{}^-=(-gDS5V#=()5=!Rb=9yR&F9B)@S<lm
zZli=F{d)gS^%y5{L}E=V{8nhDjLx!z5_CQXczLjVQ7Xx)P-1m!E`o)tU7qrS&x)hE
zZk1XKB&?IMUXn)|Su3-!+sW?k6xZiB9xlyPXdWiKRdEpXqJC%hEGVF63<U4Zh7rwY
ze~%v`S)w!iYt}050kLa**duX;xkufMK~!zs^!jqJ&Rm}MXvwB#4<V;7yb*VDk&&4C
z1}BW#HxKXGJC3kJyTvT^X{fy#{6z>|jE^^LfX<9>&42{*YwiV6t461ZC|X+FN%(4z
z6l>TRq~WBXO0gH|a~O!1+K#uos*2yjCW_4FdeJ_0`*vO06YGL=PzsV&ipyOxzN2{)
z!VT!Ps0Q-A`}BwP)%WnNfZGZ`?8I2}Tg;_V!`shZf8#>Ut~R%nTkBSINju(;S?0cj
z&A}JEZrS=T`jf76@_b+TlLISUaA3qWCS%UWMxJCiMTArx3wN!_LG3%RH-C~d4qLcR
zotADB#Z*7LL}39FWiMKBqK*HDJ92o5erT(xlGUPUMm5k(R3Ga4sL56@emB+86<_kv
z<3u!>VfJXJLNt@weehcd-1~$tw2muZDfuK_p)Y~HFX_+`mobZoXyghfp!ks*oC6EJ
z<lny#CQj)r{>ekU`DMeQg-f)X)ih@b4@C_Se16H?zc)Sl!EZ@GBWyZ<DQ+B+DuW7j
z!3vm}HikQqr}pp_=7C=5q26|kyY8Q#-27whp_R^U@%x$l9%O4M_G%RFREy6yV}rhI
zTleY;bgEN)Q<Npf?(pn}EhTM>vzvZl<9nNAE<mhZ{<Is&15|V}{nMr1!D6w!&vtw{
zKg6x@YTd8fI<r^99?#d=lXow-?omup*Fu8H0<eR<nHD^F7MkS#3NU&fs#GKx8VQdp
z^hK3e(+&DOvQ;w4XO04i$5!^hW3**mZ(J0z6Noh;v_4*^qgm~$;&B$@`_E(r={0Cl
znH__@Ce+!S0vx9maz8H`QYCx(#ilY!w-$Kd;RP&j^h)A}c^4f00WM)vk5py*L1Nj5
zQn`m}NkF|H*tM+RcRhg8mY#a!CZfvJgpM{If%(xtWsDnJzYFFgR<Tzc`|1ihRRF8Q
zGAXRBhk~*9OpxHpK*a2Z*FFU!8BD{Ex6^+gpF-vtxqqnx8*EOdBa96hrEzJL4pKts
zT{rQ(`<J}tUZlV;?(N4ern)$9ydXs!reis-m%B=cT{5ya<JWz5S$24`1-ED0xqrGz
zEQ)6=O*LbHsGX>mf8_v4^6`^Ldfb8dn5em4n-S7&mw>WJQ+4eHe|MF4RTt)j@7^ad
zhVZF|$(KFfs2RH|Lt;P$64U6Iw_XSl)wX;!f!#<^<&MxUK!jX;73E0kb-_6j^o2O0
z)@dcChl)5&>QSa*deL+5auFOg9%*eYp-^KjkfMHtMAm$`EW3G)MAlE7WEpxWPRLS*
zjLtrYBJ@8neL@{!6wLrl^9})+$RfER!-~^p#>5a2D0gSXqg_RUwLWBaNI(=1&(9oc
zwsLp_zo=GlSGNc4b4-|ExPKM;s@X<~Lj&(pmZHz*Mv3Vxy#&I6ge2h`k$FQp9p0l&
z)-*jS+OT~I*!CY6MGFcZ0#QDqVWJ!H=Dmg5tM;|<+yyHp|3HlRv>5qv9$bGc>yeF?
zGBSf`IeLK7>+cxu4htQPv!r$Y4$FoEU+a7?YwxG(Z1Pv)481UHXQCbxM$+6Kn!QXt
znW5d*qstq8Dku!dbY&QbUsG>K;Q`1lFIlna1JW1@5~&(vjct>l5(6F?IyU1}69Sp4
zxlco+WEbpMJlmH`z%zC+laTh&LDk4_FK&aVTvB4m@6>mVDgK?vW9uRn&2zL^@IcjT
zU7V5`)vGHq`&Rpnhxxv<gSY%8iagFpr%5&Q5)9+qt^u>^j6)T)eb|*FCVb<{lfwqS
zU;k3ag>^8ZUB%r3U!29CT>%JN#e1G6M0Qw-&Vri-uVnV*@-i<6Qb4RwZ4i3rVXIyD
z<o9N#QO>iU+z(BiU+GN`AUGUVE`-U$T50>aX5}ISBDrw&jd;f;dPW#t)41S5re9GC
zNzK-(PGRLxn&P}>CZ7V1v7W-ATy3ptt#f_%#^iWwiQxQZ0I;gljFUv~uC4ogtd0U*
z^foBG+MhyP*oPl;!}|<m$p?$8Y-#Vj5Nqkh{)tUt0#7hc+oodu3oX7h_ZuqyVb$4I
zMtd&;Hq1_H*$8Zw7N)V+us7OQd1;fRzfe3a3<*$)`S=>)Afsh8sLG(if5XRlk@|@3
zr)msE|Er52Lj>2F<xMZuflPxB?(OONdPgsplW1#Qwc2hId@!e;Pa*+AuN(=jM;kNh
zQ{yGa*;2Q<HBEE4un=!{NIB4dg~g&D8fzxx4h!c?3*S&J7sy_4QT%t__Wcrqs_Do2
z001=-Z^+=jGbri(diS3A%SK4s50DJ1!GY$Tw-J6@#i!M(Qkdu+`-y@0xzJTw9BWut
z{A-@(o;?tDo2tvlHmmua6|vUbR1Qhgc?%4?1`DZ3G?jv-hbS=)BlobXPX2Joz@AP(
zr=bg(jAplStRuGs;lVYV?>q<519?mq%UU%`GTZjm-^}o#s(`ln?9dh)cd!73DbY|%
zbwJa$)yy$ryqH@*gGAygiVqvz;Gg2#k$w$jYG|A2LKhCbL*sD_dho__>lk%ftSgBY
z(XhAiQ@GiO@h2-^j9%Qeok>q_Wh?2gE<@l2j^iTp{krKB{f6PX6LaJ=UAoryS$kDl
z&w54FXB@#5Zr><XsnF~<De@C4pTc8Hn~r#m$kGoz`luh==JpBe^p-A;Zy#P5<b687
zo5VCOSm6yIvnSrVVD3j`VW3M49AG6)`D5?7BmMlTGxdu}A4(L|x3%&?tD7ZDw39Y`
zhUfr}6jCk;UsjeM9o9ZF9V$JQ$rx)n0$}R5NnZ?&*J@@m8#ZnnZ7pY9>$3AQv2b(8
z*6YHd?iA71k1J)ITyWk{zIA}C(D+v60%VZ$ck1^u!Uq&I;@dK6R-IiHmMx~GpwW^9
z8I6S)<GdVtlOfMYy)y+WmG<fZ&I<(-BA4b;WY9TJoud{U0_cz@|B(iKhCrBi+ArVC
z0Qi42YriCyE1gG4#IRq(i7<ky^yL=s-W3`>YcpuoE~}T%FcM(!$9A8#$nUqeDPM1$
zHQOro{ydH5$)6UpRUz<Q<=7$>JLk;Fr`~O?3+xSRsbw+PQJLVmeyuZ@1u(+m&>Rqb
z&1Lw-+c3)D)Gn$V<hkK4dvU8pYh@8NZfJHQ?17DmLvx>uzM(UF%$m>2*N-<8l7jn+
z)asef_0Bq_cw_u@sZ?DRIbQ@Pa)aSEZWRN#x=}@>ov0&;<<S%nPJs9MEKZE~n=E<x
zy6-aVu}>Ja^FHCOdumE26ylNkg^Bnb0RJ4`a<N)JSVlp{Q{v<<>Isq9>Qe;&tO9d$
zC%duANmCW9q}n_-J$qx?uILr|9D|@wXd>1A3%-<224ATm>AIyq9iO*&#|Pf3Gg^NV
z=h=<!_yik=VyYMl1Eb1={=Y$o?5nQ$hQk^2UE>o!*1VH^tq1`$1KCKXUz1(&Q(Pr~
zh>WCJ$^~$ih&G1P2UFU=>`ak=N)c%it>0~`K{M!jBT^9l^-h#cjF&U=T6o@j;V(4)
z1EbN0wuCvo-9>*aFu6Nh=d(ZLOm0vmQ1i}c43b(;#l*MfmS$<$tGlgt_da$k69Y6`
zF)<)=$xf2`dTRtxos}{4qsVsPoA$&hh3j_|1deRswf$J%ay$ShgpJ-R(OLUY+Ux97
z=a^pvS4eL5HhIE+lG@!$`BhSjXqZ6_N!{~8tpk+q0>(LdZ(aZLJ#kWrdEqQmr8uK2
zQN7nRysU5R-YfdZt%d1!_s9e;$t34lXpbY!usJe}ivvhR&kHcK(M0K+`qVIt>D7i^
zu6gzkeRV0@AZ=@Nd@ppjZ^J)i2-t{q!i^~2kl^tW6OW6Xacj{2;T%AFLs0;Hx*pM4
zS^|%e9bi8QrD2rW2*<+=(19y$_VIr%^X+Y#5<)l%SuX>e$$1YiR-32}2=}ZNhTGj^
zWoWhV4I<KbLgBc4uAdbu;TTM%TGAm~1WrPR-1En$JsYt;r?%@%`)lHrm+Q0n+qjqt
z9Mc!%aY){N3hh>c>xK6CxIc4#pbIY-1d>~?-xG^QuXY`(ywO^uUoW6OEw6|eEM_3y
zn`TDlG)<9E@^|vw=KG;!cj<4{XF2q*XG%sZYQnpZk@PG4`i!~<_F9*dSkhs0Kekn^
zU}0Qjt|78-jn$qjG9#K&0!Z?5q)kp-0h5)rHW7!ZyT&0}8xF}t8j0_#wHjls`BbB&
z<fK?<XO>y9JfwFMUQ7<avHUjQ2PnJx8#&dA&f_j^((8sV2i^BXN&t^OMK-}?5_uFQ
ze?bhpRq4F;Qy=BQBs{g0Dxsu+#sPIGE%s-imWve=M%$t1qFd??b%xR`sqi<cRj`ch
zgCpSwe2Gd#6s7Aly*j7cmmP}5N8WaHVq&XD{>$LcX6gCGH23a>G$K3N1S1=44lhk|
zZ*qJ3EhDCk1rxg}^-46S-ge>?5yVw59I0^|eqrBPpt)DNy4)8WT-$G#Zd>>xh_|6X
zMz|u=d)M!aIhfwsTLaq(+PByY&%d|`7K<52Kyo4a`t8@um4kQeY0<I7L8ee2?l;*B
zyK<~lA>S#!o&nnAaJv^}4mo4w)ltF8fSnTq;TjmE7<XwOE6w$|az)Q63JaNmW+I`1
z>g#=!0L`=@o#1`qO<+WZj>2dLdfHV)D-0#}6CiH<EKbnQjK}RsBin@?@_X~XQDiKx
zK{KnR>EN?rmJO40TH4o3zEAMY2R)IKF7ZTgCaXsx_1@~)l8JqgXX;<ug@2fH%&)W0
z{GOQIrES8_fP(Mffh;!t>0KY?O|XC(#lhw9^}p-KdI$nQ9(88Ox~2K~yPecy2*Zk2
z^^BF`Iy<Z?xsa&jmux~OIyOcO^jrh`nG%b7X<3O3%@*3w{JIMlTIo|k`B`5KFVGm-
zLV>o1_#QPEpGQfTh8vdZUPMUypWH>s@a4||V?x{@T~=+YFe1ZZ6U~KjK5Y(gKchq%
zw*?0v@6hxne;=YJots<hutL1F_qarJp1`E+m*8+hJl1TbE#kI&Dbz=^Xx&;lU@^01
zqv6mxp-CG3VpAjmA7trsbkB4jg4D_Rpr(?lNX8~eDOf=KUDk1r)Z*mJCf#8ik<an>
ztus^@Y37oroGDNJ(GQHk1?3w}agni+gIrN}mb<VmXADQ!gJYU<myzB_0%c+M6UA0@
z9m<>+>(kR3SB(S2@~VrG0w$dfV-N(tlmMTixIOT@0Q`ulxbXERkChxm(q3%ApzDQK
zYD__LF?ykyQ#tARG%;rqZp8X{W$9{=0A%{B_;uIYc|iA$%P-8`i%u{c<ceXkAFrn6
z&xVTz&2*&W+WA|v1*5atix$Tjys=aBUHR3Q*=FYh)Y)Ab$L%6Znt}~bP`e(z&Zg6|
zz^up$i6DDguF4N;Jt^`3p7WS}=%$r)`xHMCyF_QTP6BZ3AdS*aol=zldGm{d>~3D>
zo&7gdxTNT{O5AJ9)9Ug3yaR^CYdWYCLmg_5M`x-akSIXjDs^V7qqsa9PIg^)A@s>&
zqU7@<`Yr>AaIRuD#CF4S2o)>yvtPo%i~nnn{-nI4b(z*l`2n9BP6<8hdEn7W4zKsO
zbGNqvML%iIwAD+ul_JVB&RDg&2?WTy?^jJS%)W^5O5ZPBYPgMXXpd}IIW)T48?;*J
z7<oU;Ygh>levcn533LrEr89gE=6!+nM@zVe?hvh}!3J$&8&(?Hg=R-f=nnU$CZnH-
zd3`71=M)sZ6TAQ)b|LLfwcbrXj2K#LuQHPUu(r6hphX6@VDt0%{&Z=m@h9DZp6HT?
zx<MI2kW0=9Vr<Kq>}t|_?Gm?%=?DMkCRG#sMGDp62bUEScAJ&y#&AUk946Mh6HQgT
z^G-3g0}Q?bPE$M*5G@_r2cxcX4$!LUSbj{xuYQlVs(nV|(>Z=<H8C9^<o6??S4<Ju
zpr$|l#kOQHUxE9>M6yPBF7M43qGf^bwk35F4$>|z>^e+;{X<@dhp^KV#i6Dl{yK~5
z58Ll&k%L<fR~O~imOp<@MeGga0WOdLIyZjaP$tDh%FbMe0h*eU;^l@2-ug==Ad-Jt
zdx~&ow9TN8coL7$<xCj^N&s4dCwK<tZ|nna$NA>YLS&A&3K$r%j13$`7_Ta|A3gSr
zOZ6os>mO8|X%B=&aSrHj<I8*$eK1Pqlh|64H&4ohwuDEK3^}eZd(YWl<jJj`<kg2x
zc(o;Lf7z7B`TuHx9h20ALItrZ0w_e84sI%She@r+-EB1(^zWY}o06y?Ph`Xdn_7oW
zu1|uno;RTe<<(#rqQ~;=hz#Mw0kd~fxQ+X%BsH<nm@yy;bafgT>aoGO_P75(!xvN}
zFSyzb=`@%6P{yp!MT78nvn99n6Ef`1?Q@eMvetCdrIym}0fpt5-j`huTS^Lgo?*0V
z?ML1c^LwkCA=6%s+UHa={aYQMg$5OcaO=#xu4%riSHrVinkD+<k&Z-ySA+YiwXP1-
ziRWMEk6dm}{3ukY+ov(AEY-@JLX$ibj>`OYZ%MQy<)jjjPk8+CUH4460*=dyZC-Q>
zDUh0Yy?!$ccW^tN<o?~-o;JT-BhBlwZO?i@xb<l|>-hwqtOGFaw!&iAT`h{q-j!)+
z=*m96u%#0*0BB{;sjBG?_hEFl^})wFI*wsy0|Ot@O^qVz<6`RcsV301?OB!Qco66X
zwdR1yTyx&5o?z=X<v5Q$PKw2WAw)f4Q!FOg;8fas+lx=IEp^$8NftpclT3dQyC}OS
z2Ys0Q#-AX?i7?XTFm8KxJ7;9vvU=Xo)kG~JdVgjTEW5q<mM)@${#D?&l5qP+dcrFv
z9h2GW9~<R>Q!>{@QhwWlZlw3oDs(c~CwZBj@5dz-OeXzL7-y9jFc5IE|8&{IOB509
znj7Wma<O(=hVcbfZ)Vvvd^P%{h!_rKi%c5uGEEX@yD@Y|rZtEaAX)w`=lNKq<3+o8
zbzi(ks9r!iz8aD8LHsRU(LMOOx6asMNk_n{kvrv-WT{EdSHI`>Zqkph&eXO9P9~$m
z_&?$I<LRAH>(d2<o~J#MMWniU{EN5fo$^3ed{!BS`&;7(50^AmP>lb)=a##t{1|@b
zZz8uxBj}0+ad6gjnzooWn@I`hLD^|o@)Z(eO4`QfAUivy?}k6oCE{IgZ)1j5F9Z07
z5X*RO_qiB+-JEY~0x0wH>c0Ak{l#E0?p0mHSUZplpvL>)Vf!>@n4TY|CV;lD(Ht^E
zu%MaG8sMu7;tA;5W)H=8X;S?)-+O4VD$0{kr--HA^8=vOH`MipRE0mDgAAHNLplV6
z>7Q<VJ9JL&${sWr2edZq)RrD>l}b5R){_V~J#AGB`9_o@Z)|#asJGPxxh2SK_+Ve!
zRi@;Jq6|t<&#-Lix<g>S6olu}MnD$P1C4VR;>I)~d|wnHSmDgUz44f;zS7}T+4-`h
zI_1H|TX6Nv-}%^PxAuR0jj<74KK+6{-xlw(H{oBn9E&j9HZ7{1pH6&>1uw)Db!QeA
z&W2T?W+u0!LVvwJe4{^Advk?*QpDMeHODNnY*ovxR#0vX)E_Q?jZ72lf>IyUmIBB^
z;=K}l>0T=5R8?2J)|Yp1-y`RmnNgO7y~YzD_n~aQ7f!s+tyhdu+d0ZfLUhH8j1djm
zs-kDlO=it^O5*P#{}o|R$QY0}o|4=3nZ|&#T`u}**Dc8XCnDdK6eeS25@P{ze=v_`
z?+5%P(0g*N8oQ_nC&fATLECL<&+P6`?Tv>u+r0Kxgr%<6jpHyIbP6Plq3!mP3=jG5
zT@4MW!5bhP?wpz!$htrSUMu9Cp#@r}d`7w}%36^^e89Pi!iS#q`@dDSAnJE!g7}&q
zwA7Ngaeh`9hfl>m6_WhA6Ua;%3pM32Mp=|4<Et-1PII20AQ89E)^Ys4DL8X&H4A#R
z>c_*72Rui80hnxEQMrB8e=<Q$)C8H?iK7LT*xU<e1+2>jWv#nfEI7Yl?9MVJw9vi7
zV=l#z!D?NEk9B5Pgfz=Yy#W22Opbwqw93ZAL=T)dGqqxCb(>imUX0*p)*Ht<plhev
zH~HEPUFIZFw42X_HU<b4u54N;7O&2-p$y1vF`Rvc&rU)+;^B$-Y=)|_Xho&Zu$~y-
z=KSt@I7u9ZyZlU91rx5BoKSn4aQPxu4b`RHswIC$_|d}s_yEXd(y1|1`g5b)M2&<X
zM!pVbQLlstDrEFb8qf6KCy3Njy?;+n5B7ezt6ovGkRkA$n!Z?`<G*RRfFCtJDAtF^
zPK+Uc$VHiF9MDwcNoS@()M~0kS-5D<EBHl?1!;?)t%_m`#{aPZke7tUcU%wi;)R30
zcG<goXa4A-?Tvher;qGsQ&I&eE@aj;q}q-wM{b1A*An^CEmO7+jcrTD=8CQL4@_C&
zRIMfHG5#YB#edmPx@k?*E$v0hnvX8|+NZAHNc~B2s+RUz1Luv+79IK>Z@lu&XSahx
zkFjPS`z1WmeZCYm#hV6@v&BxUiW;VcM|=oh`l3RL%;Fk#%6yajzx2-zL@&7BSW8R&
zi_GjjssE&yO4ZUhJbXeCp69m#jmzbuz<xqn)YJO#^erbqG{Y5P*uJH~i3j2qUuf4|
zNEm~Mn;De>8MrTAj)i*iexXiDW}Xj0b@D!ZTRZnjq~S!{jp`pc1vWw(_LtR=UO=1M
zV3YDW(<QQ|z-%YS*PtJMS|nYcFY=iU36?4kkKO3Sfp>>IjYB@@#^%td;k1Xjw#L+O
z(sv~r$(N2g)nTTxB}~z#t3+;Id{U5nqWO&DY&og@H<*?|W<OpS4iZ7eKK=3+8qrhX
z|Gk|5{d<1D4+om{SQtOzAY>|#!~JLeR;rcAUI>W{JI|43PMW{vwEh+>L+yJi#!?ip
zy0&l6H1D)dNOhSZd*K5eteN|VI^zvZlu`JPs1A4J#77v|dAwD)ooH_x%$6O)5u{|+
zcSYC%y{ri#&(x%0+@^GEqi_(bGz5|$+`I2y-kQ7$kQ(PZAdv2v=CXw!cy~YvkJsQ}
zHIw%W*NaUeQ6P1hf0?43QgFB}ghCE<z1{H7Psk8L9Vn<3q8sM&{qm8z!qqwGyLZ|m
zW4PoM+&ysn{O<tA<1?VmR?enSOuv>T_?u1g+ma;>dC2be4&4%_dI1mwS+tB=(-rye
z>;ARWma)I^>RkG|pXh6BwJV_5Px>?2MKDZ(?xPCt$QYA^=r4=+FFKwzo4-PcEX|)k
zaM=_92x*4c5izykrd}OE9idj-MV^%%=C;^2G`F<V>nLjdBYgEZYIh=5*4V4H4$`O&
zT5uHOuqr~|X4wFV2wU5vs$Kgq<(Qm@NH~NZ>5ZtcAVT8y<EuhsweZS|tHkl!nsxN7
zo22df0u^Pg|D;;p-W{PwCLh`W7{P5W$Kr6gO%J7LH(I%aE@obSp9%$7T}@!81_O&{
za@{kClY%Nz@<uv?hI?euqa+F5e2NEz&kI=_8FiWO!ZoDh_n_>Bt=u%R3AnRN=5xQr
zo|zIp7w0cgb+NC_(~X`9gW}1UF)FX?_jR)xOU<dk1uK>}amwcAX8|9a+fb|`NK-@=
zMo7vqpZ^sAYo3%PS+AjviKGl$S@PN@DNr+cYd?$-3T*H%B@{PLF;n}qFA&&riafqv
z$)azEHz5rQB1d%gci}Zxja%A?k2Dj1R_#=mCd5T-oLKQj0SU6tcTK>NA6y0;s>3Sr
zz)8B7HEp;Y7UE{vJhv1Wik6M@9PO^YDtQ6>^RIX5mjIkVY4RfI@_v}`i@NK9nF%X9
zwMk+2Zox^51FU&{|4MPWy!H800GLi#Xdk5W7H;8HinQ~@B9oDeEBqS{VD?w$<j@iI
zN0)7(&?wzDpfVJj=a4M~J2=WmG7I`!SA7JgZ=bT3WqOd(+?&-G%iX{|z*@l`2}i&S
z6RcI+wzxQ9knOktC3`5lGOih(!bP=<C}|&PP_IOBxuV^>u6i!Daz3pY)j3r2uUm(o
z0E<Qp$$xO=#LnBmv)mbj*E`3i&g>VBskmC^*B3k4`)vwNlit)QR?zD$yEPq+uv`kE
zEvrW>Mo?hf2}7RDOQrhpLAT+7{?oPDlHpcxBED6+4NHd3>Z&vl4y8+<;wsoaIhANb
z+|GsFu6zKsHcuRBVqvUzqXe~w;eG=9v8Ol0SOFt$+V*&1hPk-k$<m^?Nv~F~!D9gN
z=jQ&2UfAjvWUH&~(vATpN}(kk{CHzUQDNs^f+TjjM9JmGo(<l<-U!_k>3{gX6$Z9=
zYO~X$r^gwra{#4g?T2N%sTFq!H0-!^Y`npkZRVn7q;aI(j8|^mRfif3!)W!WyxjP+
zFm{sut()%w1<z+Rmcj#ffA}yw8%20Y40g{jXY6RL$?G}A`F|pP@*nWNqul(j!9a{V
zW#X-f^ll3eq7%J2+@rv2ObX5nNj*&*B0;8qz4QrYoVE?IP2cXexbTN7R7moFHe5aJ
zMx#{CSmNs4Ex!R)?k$<vq9|M(T3I_54w6D02*$j_h{$Nc2KS#A5Wl%#Nme2|$OIp|
z3cPik=!;Pj+G{ijRc@qRuD$P_HFg*+)+rdW;5%LdecT8a@e^>1VvSQhY0Ioq_-DON
zNc{6m#YmrCaWlAG4prif#Yqrj&3AJt?4JL%EK!vH(HoqvtgUyt|EJp%7i(aga5`BY
zu$bz3-!50<WV+{u#<#5bn|ro8e}$gPZ2}DA3I8e7<W007Gp@tt=jthWGL{V4|Hhx1
ze)@iF^e2;;X60pHtZ@OPUUSPP;QHh|(m_&PA-QT~BV*cM(3zHe)N0pGz9#8`CaE7Z
zCq~V6H8|v6ZrW2}m+_zXFD(K`ABaGbC1h@4M<eZ^&I}@s2bY%B@8K0P{j+0DAemfc
zNe?KaBK`TDw%uPTHUCCTp2p?lb9|}c3jL6SGi7&o!5`*N$&7AQ^_wTSdkq`EFyc4E
ze%n<!kL9S^s_D3o+_i*>l5k$V(&_R%3pgjm2Nr<(3esW-PLmgEpBoh-p_neCc&N_o
z3vM5}NPIQ^&qq8p;!B4gYlTD96b(Y<Gn3>uIaJeCSyv;QJmnbc&57Uq&Kh`(18J}w
zy5ubM)%$;V%D{>M1(?pqN$E?CNr<Q57X?=P)BWq&BzL063HGG(9)_lPj0Mbi`ve*m
zdf3{kYloB?5b`AJCQAO+Yl6aS0*Rg>EATy@<4mpbLhYR1+(}XKi(ciX_H5lr8Bp(U
zZE0Dn1_EVZU}pS;DD9WuU)+*me73t|%eNPK)X^qU_o)%lbMP30)l-s0=ds4ylx^N7
zLwndO=B^z=P@S@vPxKq-Q}K8bVqVq^-eGT&%Sti!y`xGY^Z{7PF-bdtQ(RjQ1!8Qr
zYzlWhMDg1e>B}U+Wj5(!&?@t<Qkut)_2crNPn=Y}MQAA$*B*Lz$df%EenhExzI^h!
zhA)NRuTX0kUb{-kIPh(RLi?(%nJ5OY&ts*O%1pN}WWHc3x&Lw^P)L9OUeEEdiPdi@
z$`v~x>Oc+;YTOzuD8jO;mRr-#v6RmqfSdbE)6Rf$XX?&_S}1uyquqUlxW{#;V}$rn
z+mW<~nGOMg#Q%2$OhrHzHi3g}#)gn}7HfZu0nq;RhmIOT$awEI-yRaa4+oa_P8y#p
zZG-oi(=zK*O^+QnwIXT54{UtJ7dqZ}76(?{Vh3~#tlLXrjb&Iimg$=Z*-*EW=>-#3
zs+;5)=N{=fiIcqto+eW_7Yxz#1barCjvx{^{dGB%Bq@aEbh}NR(%f9D@&$+?3OxaF
zN*Alr*K7fteq!h=po=fswb|am3wy@2Vg0SF5#Xr)1|Pfn>|G(+zEqw0g6vQM*hA9*
z7za%L3gMs6ddP3qt&o`VEy76*Zi<nfyU8HPZ7QIvG$rh|mSQ9&4lI$PTfX99<SuR0
zEwdt=g*G;>ZW<jSc3`${I(MGKXbxczAm8K&EUG&fy7*v8rCcT>!ZI#-@|=A12n6X=
z<oDb~@e9vSiAPJBPAUNo6t^2s>s@SG4(4C}3e5l~v@2Uf<-s=}8CWmnS#+w+MdY?3
zSm}iojkn381x@@?iubc61kA^*161O3c!!Kl!?u4~yv2cvii!eAcopRU_milT!Wla3
z)(nMNr75;D07Xg$9#wmHrqU&?uhifpF_OIVW(Z3_Rt&zN0I$K~o3xnxgNizXRW7Mt
znqmuO>wng2kF3xn`JJUdy{MlZRK8(wR#;!^He46cYYUOznQ?JW`y*#Nwq&tcK4-}*
z4x-u1e>xHIoW<UH_@Lj&2`=PWJC|_v2z#qwUzu>9dOqHpw`_5!Wzcl819X6bE%$y4
z#N=In?F<E5%l*<VaeNergO&0-%WqFSIQq9ytoh&oJloUy!J~ETSQ>@d0uVC)vxJlF
zZxj*&Lw68Z-*Hd~=vTso>cKGIbdPz18@O>?SSEEpWzAZAO;x*_zi({ihTlJCn%WCS
z_U*epp)DhWg&^OvenM-kI3x-ND-)pzAbm6|^-QiTPg$1&_{EZht*;}Y{{Axje$Nrm
zi=K4i>YqKA`-uz(T6R0wcmRh-@1m0=!ZQ`3sDKr>DKU&X-^XU^FPfuV9jgof0Imf6
zjoyfy@awhu5P9;C>U=sxwdqGZLgEl;NddRfK(%cQY6bEw>Xq;~o($Yu!icy<<k%2T
zO`#tJ)|ZWHfHQL9u{O!%0y}`l`tzYi<3^i$s^ZMJrItS_$!Ro;&GIY3%<#LzecPcm
zEB>ni1Ie2@gYh2rH|EJ?OvdT)d?C%k#?2J}StA))s}Bv<462`OPJ6#g0vpoT5F4yh
zDI2Nv_1spzd9S%pY)b(w4~=alO2>c)wwM6RIT*n^B}WUym?b>TF+y`9&iMGX6!c)_
z_zi3fcJyrF)g~n=dsbNyp}FZADAX$RkuTlbM(1(8|M==HRO76Ea}d^0Pqrm*Nq0ZW
zc0xxj^7kw`?R6jKKV|6mmww8L)lk+%D|bFR^uBmRD|f>!IUPa+7NS$_=l1rZaN*q`
zBgzXFw`r48i@atLedx3j?oqsA%FlNT=G?Ak8s9@hGU2I)dH}+WI0YNQkpZ<wUWGpb
z9uCgN7vXM_)a^R3^Hx!QL4hz9z+A{?4gMJ!^MW)_OIug8z+sOVctWpzh|ONE@DZrf
z=_m`cM{K<sl^i!u{C$fm#m(#KlDB~#^X~nw$Ja^E?4z!kHZl1$M-$tJ$9uu%R0;Jp
z68>Y9?m^oAaY*~juQ=)LP=kokEZ9XQ>sxMgV-_f`aDhgV(rAc?)wQ6E{IXrw7lrFv
zNYm;z-KFk2i9tAfYv^J<v9n#1pAOAA(zii~Mvwe>{k<Mc9kZ5IUWWQ!a8T*t@r<zX
zufaPu`un*uS5R)hIo)a9Z3=(j*w%Uc9#zv*gCUvTV;{p}Uo=Z>iifIg(?dZU=TK^d
z{Fp6}cDr717vg4|%P?z}JTTV6YC|a1&D+vCaBW+j1ADF*ooC$~Ous0hvY*;V2p>D=
zEg!+_FHilXy=bQK2Kwa{QdaVp)p;Z;^z3a;waC}ne&6_E0)m^4PO{XTZYfmPKkP%F
z{}6ph9gI%>PNc^pe^ykM@YSZDSfH2)t^76yWMc3o+>^&G{F+2+ZmaRc?(f-fp*U9*
z)r@tV!jT+XW5k|Bn1}hh9dqmB)c^AWSXCIy<!KHFy?hC`$xj~c?TOAF#@P<_7<4C<
zg4bU;%JrA_D(Txz8thkI<f!xX_x4NoQa5bsh=ZQ5$K7X0fc7k^=8z$M1V(UUCnFfw
zjkvf<^}=ogx1{QJXLQSqZhQi-@uj`ws1jGXr{w7RqWFlA2kE?j&P72e>*KWvvW5v2
z;}BK_o49jKVbP(BQ-SO&EcK&4p{Ou{(%kKU;Rf6z-VDHh@2?5=0IU+OgPlm|w5u_b
zBauiy_cP_1`}OUsR6;1Lxt06EEPG!(L0aIaXcY#&?>=ag`H&E07o)`O-uIC+#uo22
zf6kdG-1Uk&p^xaa>9m&)KCTFWF@E;8*cTC(FQV1=Tn3Xz>g1ac>pUy43#7hmIKkD4
zKv<2ER*kDIm(ajz1f_=T-t>SH4Yb$pn!Me>cH;&zC{GwEa%sYhKRdzO3F(<+_tH4Z
zwVRhVu>WiT2~M@5+|+Hpn!%^ZAE*k;P16}CS(+}d9?>iu$VCjhS9L<5$ARX)*CM2*
zV3+9GxaxGDYi?;;O(}I;PF9I82XC!}S6aQC97I#A-3wx7vXT{ld#NP^xLy1~fhy6L
z14ahFXTHNa1v38xgj^ofGD=RxNbM5y_x;kBxI1cOk;?ZJBm2o`^X21njJZL|<hUOD
z)D~QS2n=HLQenNqjR+GgM=6gZ?#7WvLp#<m_|(vT`p`O$@)|qP2I2nx{>|^#;gm!_
zZteq6Ms92iGmp@N37@@`(m{{IEt>~xWlhxYf9n7cPcM0gQhIIwRPXV5ItNqtcO)+m
z_MR%UNpBA{#-<FPsMfpGOQ*VU&0p%$tn$uP+&E=<5bMqH`DSI8FWIR#M-Xw#Zdr!#
zsu~l`dC&^fhHsN?IIOluYBUNRl&ajMI4+0pZ!<k70?Y&Kg^qqjSM5thax_*~HjPAH
z6ORjFFtY4wu`dlwrjq<>E#D538y1|aKtv#)a6n)_S5TSO@e%l%k%|*&2i3u*UXypH
zzgNB?ufLSMNl$8&<{ph>3W-`fLbGP5U;saqe4}RxUOkK_u}Z?HhsIXL$L+F<Z=Z$g
zDczJ*Q|6Y?!J(9@d{I{7p;g!Jus<>OdO>vH02I|5Nf!XnpmbU8bc};>F6$`h>W5R-
z5%PPb3yGt?<u#Xx_3f+gq`QReUhgxDt2(W8BnIa~1>SclegrNzUInh^X-z0gh6>cD
z3J$2~(%-lB>BYEDH&jQJkNd|4BhcSx5;+Tob^ouDH`D$)x`*T%+v);&hq@LC+1i+d
zyH#=t42X8gjNMcGRuenaw?dS5^9Q$=pCb?T>(6^tBHM6-&vVZtF>g77Ooh_>Bx7C6
zw9&VQG2Ft+Jh<C9ts2(omMXl$#H?CyaJJqBolD#}ZVg|A6mCH2x0eT=i<r$hwuaeI
zfNra}^(V#Li}VotCR*?fWOGJo<IiwDdPd}lbL|RX<*Oety3|VBLBe1$Sl;C)Me6wz
zrFLoQo2bvh^{ocq`h~AK;9K$*v4*|Z?kCraX1SvV`wNR4W`~P4NaorT_^n6N2yxX}
zM2o$&IDqV<<!$P9ml4r$c>JS?fx^@{**uOB?dBhM9}UsM+uFl5eF+&}_Xd_3K%1_5
zRS<yh^C&7sxq<D_OCgH$<uZ*Sbu79GZDbTOKy=EcE3t`msE)a>HLuLeW<8KnN~G;K
z>2uS--{pJa@B5!H>D?xWWiU`Gbve~f!tDHx<Js=~Xtm0qioqIfb<1}z%l(G;)J(Yp
zXK96;lO&t40^M@`OTK^+L5GJ3$(4&xEWW1}*2d!+T`EYG?nm0|84g}RB5-G(+c{i>
z9(2&T8iQb864J)6EE3@Xuc&*}pIt9ZqQ>FT4^!;e+hipcbKvmv--|+J(&Frq-=1Ae
z&?%*8$Ef-?WALy16dH$qnTbP(Q22Cf84dENws^-NyB^TbHi6O<{b!~NK|4t!TgzRK
zy&?qh+Y#BY+NXY?g)QCY=g{7#aP?7~NX#R0D4J8zxj>>4i*;1x42-j+)h9(q*e-VE
zf}XFwIn`a6Zcr$(XFpAAw0NN)Wl5_sJ=N<}xjTYZy2YfG|H$VRDre;H(?S!u66|`f
zSEw#;@02fcd$8s9A0?6#_ge*Ogp_V##PVum+?8%@b_mOmlQAa>0pBIl>FI;#Thq(3
zZ3@pF=7RV*Q^bl0hDf1lE*>`@#5O(vSyN3h6ktY(<#k0_K_!2mU-sJkw=5EL7NT{L
z)q$rcSaVA1@kmX#F<&`B80}AY*zr|R<#lzUq1CG2LuuuSk;0^g{KvK}0hJ)dLGSAg
zwxe$zPTxIcMts$+<4Xygdp6>`GO5Y<KoztQUjpZss|_Nm&`I+r4@HWoo`&q7qKwoA
zVUIMV&V*}gWGnp%sYNkQdEsEXK9YN326#V3(Cgs;PgQ*N8r#ei$(_*P%4V-G{@G?L
z<gtms0I=0pRhdl|blyvdxfSwv^bG-YXlanmlZM!I(}m{ZlYNwHUKN3XS-+Kr3}(eS
zbsYyW$i|K&<Xqz7N8ovHCvH;DopNViJOejD<++5gHMLI@nB>z^EkJc4Wm-CDyVfFj
z`@C6-SpeCjcB*IDVZ1r?@3rk%`^*%j(i;|6yGmNyd55vs8?^FW9M_+-G;Yl4{l9_K
z?F#8!G{XtLG}f^}TKM>meHKlbw@*LN_;|tlHri~@1je=VKaN|g>sF<!x}?+t@a=6F
z2O&2Kp0{xksW}&qE6Ez9RxRDb*R<_R-^lC>ehDn}VV3HW(xQNO9?lx@nm|blu^0~W
zG%|xjjMUUk)g{dW0b~Zt9rr6Gl(@O1JI=~_`kQvDnTRv@b)?Sb{iR2!9{nV4u))#C
zuwN-+t}Wu_562-P1zF3$Z?S?7toon3%pN*yR$(9WUaEg<Xw8DVhFJCLBN!|X_gM3>
z*oH7qBD)NU?;)mJ1J|ZH<`~vnDJ~a$KB*OL+uL?R`#;By8LNs*{Kq^D->PZwaJQYT
zKg8_8(u+VA?@SXZz5eOj#c{rkopbg#mR3%WH69At67+t$^!=TX3Arty%PtDrUOp?z
zXIZdwuz!vte%!|mn(9j|1FOH#{%W=R5bYkuxLniJsns_0XzQ9{iQrr9z}+q-&$fu&
zok>ZpS_gWB9?^lGoeIE}$nZCX|Mf5|QLda$`J`mY;5$C?tZP#ApM}(@hnq`)F$$7)
z^zSmkz3*)`6jCZzx4$%F6?=1zD!qCClBnn(m}5{Iq)~-eIrFx)1!f-E33{3b7yuPG
z+%;ocfy@O*sofmrh>T!;<dr?uK*&>Ay=Q4dj-AmlEnm;j=TR?hJ!np$po(S}`+*VB
zt&`buWSeHcknVR+9YW`;^G@OaIx0Nei7?hBL_&iq*^D3VY#X03AAl|-pEhHZl!xV!
zsW)@XgF`o;>MtsXTCN}W2=yIjrm7CVg!L=YjBAfJy2S2z#Dd^^o|uOHyhP;Po#x9S
zd*F=f+$0&V?E>CdHO*;a>cSv(@v}tFBxU1}3HyXBW~6f#ICd4Qo=iT%Lq)tCbh6B#
zPxzDe{f$B?UG$%T2#=cCvIIMu<|Qo}l&XvN36jdpNsO<dDsI|Qv=JKk?J#vUHw?(;
znMzjfgK~ZW50sO%`+m%Uu*=O)ZP9HxS16fjOqdYdt<~qD8qQA71CDj3P7lqG`tB4L
z4oHxn+r6ev)aCsR6H(e?0Y0$5i_}U%2{Zds$!aLji*x@m?Wiuaeap#y{x|1CK-|(%
zU%du#xLR}75|?SBTbf>@CO%8o3FR2P`2Bu`o4`pE28uh*(n2ncuO7iU)pM1pZ6*%$
zsdj6glkRQoDd-gV`o&M5)8_m3+OB*HWz({r6cg;tFkd}yQ+lD(as6sK_v7KUV4`%;
zqx0X!U5YFplqf1!a)G6$KUC21?Y&E|g(iq&GEG#CNC&=O{KVe-HC8ps+Ww6={bDTd
z=z2-UY|kfx3lYZ#*((qCGvoat7Lx{jwLmOVrbtm%nzc9`xP{?c{EVQ^<gYj`<(rn`
zc6WMkH#kQbR@TV?mM%HM_bWI`Tq;^DWduKK4%&t%^e<WdjpUcxV%BcUyBc;JB>DU;
znTr8x!kxzj(b9<k^M(pA=Wf>r+DW}ZK=^k?Ghy>~gn`bw*7rP<(7;Wi^_)7qJ8|yY
z82iio4%6Y_{ht`T)7v(wkLF|kub)ol0g>?FM!uY7{}r{X_W_(wO+QRQMV67^+xe1N
zqUH8?t*}S7m_bZ7gUxURiTYoty;$WWmL;#E0l=u~Bmb5chwDQ|vo<*b$sM|Ax5p~P
zViBo;`G(Sw8#aL&e2CD>|7-56qvFW6ehDE7Bm@nC;7)+x?(V@YcyI_1+&vH^xHQ_h
zYX^4=ZjHOA8+UhjO=j-g`^`6Z-u&~{daPQ#s;i5teST-}bN2r2BN>xcFY4v5@Q&Zp
z0dG*8KM1K#UFqQe=%agFg%r3o-)FUYauhL#ED_abzb@bM2^FHNyLSsN^6ERwI1U_H
z1zyj_=c8TztZiJ6adfx`>7Z0V0vstW8!wNY>SGA>onjC%A&qi%1%XB*1D$900y~p;
z-aD&QHEC)optYa84~A9A|42g$)IsoCkpNc<aIT61WXF^tpY^%v>G^ioh8k@@vaeIK
zEx-$YisH*R=(xCNO~CU5zVvCuVXjnu&zBc20ezdW@dj!AB(=fn1)ZTTVYq5bf|bV-
z4S6fDSO}IV;|5j?kldRI38n)OJ8bU?alz_qTD|9Yh}af=*{t%hM~lTi-y9%`UY!lN
zAa-W@rx#=Vu}zwDx(G^V1`Em(c(m?`#XH6UIy2jw5;MvK2YJwI=B=Kl?GL^2Z)!;S
zSYpgW*!@0$Z`bp7yF%rIulJceHW;*&BxBBCY-bn2rf|Bgbz$^UbQi%(J|`hK1X%bg
z*qSQH8OBg&>7g+oj)s2gN&GF80Yg(Rxbgh$Oy%4*Cs$GyZO0KbQ^CINj?NpCuPfZ&
zEwwRMDIx!Ax4Irvs3mp$>7tK|uJOs<zPS4$HU((>8PM+&Jt({WlK~NT%5mpbxv4c4
z!TGej0~b%v=bmkeH`IsZuHgb7O_QNbR}O6`O|@kVm%~OAsqg3A;!;@h_+ZI3g*Bz`
za(LK)mSRO?q161zOzLqBN<d;4P{fRqyhA}Y%=zaErHRdYGVROm#aJF@PkyFx+xTxk
zT|$cr%F0+3wRTsJef67d+OnGoB@z$rJT5<jRcn$_R3=7v)a#CDwj(?aw@D%Hhu)3w
zw#*>GSC@nOO&bS0tlUZVQyQ{VNB4=NEnwU+KV70SzqKQlVvL<y4#(BJQ&-NXFpt8Q
z5;N#fu2Io3K`or(1Ue?R6<y}&fV;(4x+W<t{$`4L-51`DzA5fFPIlcU$Q8Qbfym`<
z|Dgl6qCo^{OU?KWGf<tpZnWB~lf!jMuMxm*A7LNE#nB`IwjzolJ6BVpoyO+_Q&0ho
z2mM3lgnY7q@bEAl>POEnKBZBsk7kh9?hZ}_yvHr1d#q0N*ivj}+k5-{)_wQB*-exE
zria{90yFmFx9(1vptJIZMT~WN&aUE}CM|{c@%N@&DeaedJEE~o)bb3hN5%!)nLD2S
zD@G1@(e=5<uZ^vLAnFoYlQ|}R&90MfX2=TXbt++B?2a%i?hqKFT@{5biBaN=l`3mb
zJ#HI84hcW$E`$cU&v(|6Wrp%NExoKGERJR{Ci$HV9uD$Bg@oh*O+F~D<G#@wf3gS*
zX!I8qq4V+9Kt~5If5}h=(!LAQ>%NQfQyKOj(;nZ}r3-R{=PpJMj$tv(X>%S5Q*-6l
zS40PL)zXvrnC@Ki8o};WfcK)@+dYdU9P*2=Kh1DuH9ci7%+l_kV9m_qI4{<<`M|L6
zTI46efDOJiyhy2bFSHO|%<Fd=fkoP5OZ-~$FSzoG--F9zaQFJ{@xSbUf3`l#)8dk1
zh#g@)@R<Z82_q3-dv>1&OS&{K9k@57NZzSa@KhZtt@CO*9X*Z4uwv7A&eQHdy=oKD
zxwk!fUKEa(u7~0#kYF3%cV<CCWAAF5qS_%uTQ@8Ei7harO1m~<=nbv7&K;F+N-&jx
zmf%!VV<`W<>$5=)VftACE3QDDn_YqD8;#y{B)t}Nq$BUhW3%X^-7lUyrG9J9S<Fl0
zHVs-y81L`(ie~5MsZuqWw3B@i{i)<h_XE;sq>pYnBz|CN=GghIhh}wOrg|Du@%yI8
zn>K)@_^@_vMmy>@Ve_^V>~|mIleA(ry`{Xq=e)_J%?YgVs4H?1=CC{A6Kfc2!t1wC
z^LRsz8~@pZGBw5f2z`Z76g=U*5-)k_2>CP?&RTu(5Tx_Mqc@ZnXH>^YH(y87Oo6ic
zO0;@r6y&8~L*|SR6#97gM8C;OADuMTyF63<>~L$SUgub`-ncWq_b%5{VDK0iGSrhU
z=NI^<`})OeI}{6b7r*R9&#-wDxyb~Schu?SSp7Y1Ox5lw-cjqiGf_Y@JH46N36(m1
zzD|lfg}%s)SZ)t;M?$VXl}Wedtub|#=1)&1Y#M;Y7nCO(QYjK)8I|o_$6GMp7qfvq
z4!bmS^ohXe-KvaBmDTGUB0Ek;E-2%-?fFiZ?32yb=uYuOY4B3qG)Taa(3a70Fxg-L
zt+M(>H=RUl{DZBPufmPEOjTI(@Fy>()X-&Xlu6IL7<VfwuW<?ExNDlH?Mv;;n<(sC
zBr!3zKJ8M<qCHGHGTu#AItyQ!Q1=$_u8nfhrgo1$mkw4stG1!91zB@;Tr7r^bJz|N
zj=fW%PRpjf^or$Et!XJ~In*VG?8ePS3}w`~G*aN}=VJ`iN)*~kTzyhKO6J+)7GT-~
z-bUzcEX7A;8oHhpGw(GrS%l~gOry@$j%~;RVc`z!2-1Wn!PR?T;r<fRuR-t7cah08
z&f68wh8hVOCUcP{TemiV$cXf!icSEa#UJFt{drSM24cKBF3MLij~Rmwzn)SUGcxHR
z|LkFGJkSc*5Ql|LS#xg!gd{>4j_yWgl?Gg!VzVi2@8?O`Gg`c~M91XuEP<}eQ+1V}
zO(||Oxsb_KN7Lkp-v2ae2owRciAi(nsZ)R!qdXKaUD?K5z}IZvV!?TZ<Kr&%X9-@Z
z5Q^ko5iGao{^ogsulEjEbXBuKD5LF4T~d3m3UkK6_=Qo4fU+!6JA;LjG%Qv}OH|11
z#arD(Q^2$45AqW`@9KlwIqn>~(Z%m7uH|}jhF<UIdhX<p=h$aDYdc-KN1Uw#9MnIw
zp(s?9OM%q+_JzO{=QZ|$c!4$Yy}2njw=Sk&HOHCh+#HuV!+NxzZ8Ru!AZTjL)6u$Z
zZ>CN276FpEWm4nUR*Rr-)fY~ZsPTTEIRed8_J@y#3Gs78rFgfUq{;nri|a8Hn;fv4
zhCwU~jt1ejyuS8C+gHkMYmZM>e;7b!kx|U4GYGGZ$;YhlyACtXCvny%h<Y)LJ8+qm
zQ@US2^vScKf-mpYg2_Uba`1KJiTiZLz~vKA$sHl^LPgM-)iQ(vDoG#~eu5+_a^F)_
zscQ=Pz|8e@v0rPdr3##4{bpZu&8v1Ps1W5~tF$Fr1mCzUrH5$)#jZ3#96UH=mlC7B
zFF)g4fmy=Ab?#x<n8sC)--lAU-BaiJl#8R$pp?CbtUDdAPM){GeD1}3U?)_v?~HrN
zNL35RXp%JEiq5*&!axqEP!x-JxD?TU-HLfYXYus1yYj5fJ>RY2a#fv=GA>2fFON@@
zZ-{${Q}t*NTjgSXZo+uXi9;_YB3e!)aIALdl1L)XcuM;dXNghEHWUI|)!I~frO8=o
zK{uYIEh_S(UEJ=?iHK(Zl!Y{IAZa9b{rwd(uHBN}TmE*epMqfOnbXz0%C)^Yk43!r
zIJr7+uhuat$F#++_fAeZ$b`bldN+afmX;icOa8@#tZRd)oGpg9bj?t08dK9W)zJu`
zWP94hGm3IQlu>R32a1-8TxkE;l0F4gzPPw&r>B{h_Uw&Zt|!ETcA9@B#g!`vD~T!(
zC1?At;T!v94;ETJRTOAv;!5Sr$T2edEPZDaQiA80jk<sAvczo+cWRo$l5#B8XnSf_
zzq7g;7K*ajdsx^nyC@DbWbRj=DZFpN&r$PUGwr#2>i(S{9LGG+_gIOy$V?AqNI~|O
zWp1{FnP^h~1x9-pwy6OFd$Y$Jj4FTJ*eAf%&>6}w!)Ms5o6PLpKKThH1Rq7eq~D^V
zW;iV7S{W5=LFrn{4~_hCukk&sdao!qiJK~gyBseJqF_%7>zM|z1sZ^GZUnw(ok(mk
z1U6I=JD*?OE&;MOFS)eLUaWJ57+TMt#$36ox$M#uWvC`=W46Fg%*}7(RROKanJuvb
z&*J#?c<P8!2IUwj{HDvwBU7|cfn5G_>%k^N;Kla>*t>b!{GcC@-ElShg6mjQ2kgKG
zAh>9Rd>z0kL72>)P<l0`B+oR{3wDtG2nhb9CDXWXRH#4^ScDzCJN`jH&3IhRMFtv1
zqLCtblKaZZL)8qke-RRFGG+U=H^YO^H_MpU9?ZxcBO(We2K$_P*mHoF&aQ*cXqU%X
zzAS+0=Pim$G2}3(GcGzy0>@~NYj8=PM=bA8yvb?;3TUAZ)NoBxT{F}KAB)N045sQ}
zY~C1N4ev}`n;E64i0G*}qwKF-Ip<P=Jd(Y;U9J+T$oW~6-#ry=!A&jr7Ud|Gp!||I
z-sK>x>crx1QKl9wfWHuN*N~nt`AM$rZV%=IOlqpJ6f#AuI6UFaMtf+G4`e=$en_ok
zGQ=L#e6_fwunw;29XU4eiVvocXi1jRhyzwl+3SKXq1xU8T;ex@-s#gqagM2nOl*~I
z&$vQTSyIXgIcq#R0+uU!N6c}!nB_@LYn(4VZIHNX?iOsm9X>|}(>moGj_f<0G$(DZ
znQq5?KY?#PyX5GNI;2%kzAhUZP%71jWWg5NK!EWa&wYbnVQ>mha@>*)8-v9vjE>8`
zYxUA}+&+auCrq2b4Z{-D*JHgiT-DfpFVsi3cs}P|^-0fd<E46qvLAJ)?OZ`0(?C?s
z13eF$%vZGzCH6=AlJ7sht!Ul@(Jq*tP&Zpp1}hK9NguV4TuuiUtI%@ZJ3#7GlXV!{
zC+)7+1~XKh=S8zj4|WhGi_nGvH<lsM47O)P*SSH2e1<_IuaU4g{Q*hmoa;W4sA_Wb
z`cFOxlQ-M-A|@Se$ah^T+`~u}28|i_O9{2JY4nM>zD4nf@_4~@qQO30eJHj24^3*1
zaIkL9^c2np#ENZeybRqCcfBjYc0>|#2FvG}qXb5JxUZnhwy_xY!_rt2s;JS&g8)gk
zJ;@eLrCxPhSNkxYPXl7Tfe(pTSb%5^UpiCv_{SuYURQiT9BZ>t`C(4SCy%;sVGQbt
zR}-)_ZEy6oGr#<-6OYRKlodZN{HF>fthhTUu6ccuh@AyP3>h4yIOfG(QAld>1S1kU
zXO>0VjWNT#R3g)LyWU?NSV1(H>tVbQO{Yi=G2uy_-l8g~4v5X@5l<ldehKRpA3s%C
zbJHf{TsJ?HBciOA3vBIeeLQ2wc`M~|JU~NQJI7Uww|7kxSfKJ5K?iNDm#59^)v!Ie
z%MhLVZyOko=V_C?<`uR$48Dw6p&_%br7<ut0gXp<y%u;9DaU(%Rvznq5C-XTM~k2C
zTC!>#*%WANPkL>j6BSRv6M$wa)9%3F&TYz5j&I>RDbf)sT$LkM0yah=Q%4*e+)GMS
zcgJJwxC>Jg;Z#F}Cf7J46yZe4VxA54_=y<iD-$xP?0|*V@WBX9y>f=A4eXj0JxK;V
z-e~gp@6ZySOOSx;k2n;Qz#NR;<TaTu9~3sW)qoG|t*;5XO{uAbx(6jsnVjv60mTW)
z{cElZ;Gu<1eK0JwDiq$<n3;AQUiPeyO)5WC{doU231~5M2n`n%mm8GR)?2m0zQ5y{
zS`-Ucyh)`DFV>Ae?5j$4otQ4d*LA1vgwA(ngkBJ+AhRCbaO;M3(ar+r?u;ut^Lx}6
z>=eD#9@hw^*4$D!!R!9;G;D|}RG%GKFK`L3u^OCCX6-VL>0>x3J+Kycti?i@C3r9@
zt7ui_*Af~Sf#|OyJSK8UF_#@9_yzgE+*1zp!$Q($f^(!3_**0KD#dy-$@hm2S^ZLv
z?KrIjk%Euqq*imoDlacv6wktH-sA!2u{9`6Z^&|=+e(J2pipTvxnoZpNyIyj?VoPG
z8|$Cho!Xo2^<}^5U({F{X}+|l_T*(?3t&z5kyx4gQ9;?wQ3@`GCYyFhZ%%RXYO~WO
zdfNoryqU>k8A5TO_I9%}2AUEFV2$Pmsm|b$^et*wfp(hMz45{n`xeIq`%*)6IAfby
z%F3OkF=P2U7g^TW0|<^?U|S~gY9&s1aDYe~&!IvAZ4@!4t-4uX_YYq|Q<|{wzXimA
zIaEnUYRNp2YNEY&-cDIs)8^T{aV|dniSvteAg)KcU~Uc)>OwR2=rx9fKnadbJ<!_&
zF&2mo*qTpFATm;DUGXJJhn?yRN4&QhmLJWnATlH2Zqmkcip1!CO~ubKO()Ep!f~AF
zt2wBn0Q50LdV&!)uL62S>Xp>JKuV-5nBL3o*4{Od)eY(y>Scbi_*&(fl8YsNQGD)2
zX7KVK8ulxN9G-#<FuHv)3S@v3&K}<bCT$TLK4$;8owrM6%?nv%w?J92+Y1ST78Dw;
zr$LE$0#n2pD#pxkK%`2SIcoL-*3ih9snydQ<(V=-ziWX}XMAx$gMl!Sp;+`*%Yke7
zkT>VjD&xppmOx7?Z2LWl+KV-D6oSrqQBy^5IdCy044^hzEgzTcsL4eYJ#Wg|tLa;>
zv=sg(EB!jc9}tV>N1An=mjpDnD|JzSl5zxvuiqWl<_=qWBo;9$W;ZjaQ4_BVOLIoI
z%Zi%f?bP;rjxFhl$kfD*R4PAJ+GmZ2NP$CkK!sV|Ei;lVCZAagE=!BT?yr8*QcPUL
zO^qjheubC+{BdCy^rf!ijGsDS!EOgG8k8B@`{;9jGVkRcW~$BQBvzKBa2V=<bjH5g
z9#eA~&3G>EHM|qT;z`Ry>i6j8<`|6V!{m1Nky!o2u6u8?XC}kZRi%i$hS#~cR#+$@
zQ+q5`T4An_x4X-KqW&Tut%TE?!`n$0CBPSfT=-enx9OT{f)@Amss}VbJMmvD>M~+n
zocr&BRg5u}>WnDZJiKc?InJyz0=U?_S{HyJPUl>}_bF)v{Y01N-^Jbcm8&jG+_kdS
zxkGf<Rn0-}bF@|<dX71u>caFFSn?}au!F0=PaVYSXauzfDb!%fF@q<*vzQ?T;uOzU
z1KP=SB|RDHqVES~mba;t^YqC=ndg>V{hS&H?`>)+jxY2S?~6d{fkvE*yb@u~1~D<z
z+f$}WTS8=E!vRVL?aC2ucFDcAN9k=2!<gQA;AasT0b8GD4_i27^@%xJ4&J@24UfO<
z>N=!~>uSDbvT`{>j|Q0jEXHf^MoL_e#5dP6;g$bMtgKX4J=_yQx$?^D>-IqN8ReGe
zim^)l0addzu7-NFlw=oBYmc$^Rm(j}u<}Unu1fiR{1clvY8<*oHrh)aT<XirR{mD$
zn<1dZW&|+b4TlOfVj|Wik&T8#`HscD;&2Yvyf0O0@0GY?arIVXN%=V+t-E;`psD7=
z%yn&WU#eSaX{0osgRwO-p4J!DGpKIP0T=44{tP{)2xr5r@cA1I+DZGF??=PtbpbyM
z*1?6w>(jXG4vn3Cn|R07N1~MRBstU&!eAKB=v@o&@GJ(92&InUL&9<G6_5VK27M$&
zD?T)SFm66NGmk?p=WC|s#vl5{of?!Y%K^3*4S>ckQt@`+cE^SO(u3o~9nQ`Em6d9H
z@T^XwUDu~PYzdkD<mNGJ)KA{dQWQEohHn;HF{kQ}S=_RzMs>aRoKW7prJWa!ikYr6
zrMjCv`=KsIPNc(b=W^CN=1sm?QQS-m%0F!6&>chxLrw+eKtV*HEGo`=A#A7epj47H
z3@7++gqcS4Ae1dfNX^!8rB2(xZfy#4VX~r}+P>#^o4ifJZQqKv9mH~7_3r-3eKuhx
zX}O<c;wB?=OV+CKyjmJ<=Zrk%(3seca1z~9wQkRu0SN8>Pqo8tm`5lOw?8DY^FCId
z%BkaQGwwZ78B=9q3u;b|?t*4Z_f)e$bIn1a=;a5oF4JYJ%iOWiTq+mdwAF(IYHFl_
z_V<gI0OTeM_EV@C<y_*|#uxIQCL|O#{2Qe^J4GwDg+C=<yP3(<4NW;KmFk=fiIp=+
z!3RQlo$@X0T9XC#89gK3Ke<dNl<6;)v_Xb(II{?$6Z((TBzpx)1IS9A;C8!yq`<bE
z?gSscJ_}42MhlXIM_+#zvdXJpzjL=oE4?ujqx5u5N%;I-`v^2Bc-13hQ5DZlm!H&q
z9g3%QN|oV`D$U~n<UVNtpao@_G@5g^oqU09x4soPzJIjj+Sfr&sRUZmevgr>Sb`Cw
z5Dvh9u2^Cavm2C`mRBw?FKU~@gBQ+Rpnz}Q1a1kM<U1m6k#f`9q2>5|FmCO}NOaP)
z!Q9up=>%~&$CS@FVk;`x2yRLE_Ok9?F~YBG-&lQY&$=bs)4t_AwqW`Lbf#Ob9}_Vf
zD)WNhR7`~b5Z{g|P~Gbg{xb~?JxjF3HXU+Hxq4flt`GLJrbmrS%ze6zS~JHqsds=T
zH?^}ZJZg8UYeqpy?4+U{4aN&zWRu3uVf)Fk7cbWfpqM=dc^NoPPWuH1{v0Dj!!RaP
z6e0&xd+()g8yx2o+t%Nbb+B|hV(Z0Ep^<2ww8LxLM<5g2xt13?4x$Y8{XgH0rO|O|
zt&S;?f&&S5{3GSFgFttCtJ=o(J=f~_D1^6O+s*zTdGEicc5PB|sbrnHP9CYOdv;qp
z$nuah0|d%2cf8fZa;5xOkWJG;{C!rcs;A`p?sRmkjRqx=0#T$G;1+Sax0<4MurW{g
zPW6&AHeROkT-nbk?7+37ecW#E1aXEm@4R6-q2I|`IQZRPt))@`3Kf!ZzNlJo0l>ia
zjZOgzh*(Cz4dayi9A5h4x*8|Nc4$EuP~{~MyF}O`f){j=b)FC1W*CSlJ?3tJ3a<t@
z5}GE`;3UV2Qn0k-e0yo($~G-tXcCyjIpH9Y7+W&-gS*gug5B^Zd6k9b7^=Xi!@Fm1
zFe8{!WQd&odo|P=hOnZ4s31P06DNK}p=Xl!`iQ0?F1API43~B|DtG4z4`oJZ4Gujy
zYvgm(S34}iblAaNDb-3xBJ6wq&+%4&&uzdV{16vh1l(Qdl6ZQyXE;!=AEg|&vqz&r
zBC9EECSong5HdyEF4m{S9^pZXUwGLqqQVxVD*{kB{5W{;cCypv&>12FKN$gEB0|hX
z5l*;_mOy&$SsgA4I-$bge)S7BCj=8Z?vKv64`TrZ(+81k1Sfl<ceX#TxRjppH`X_~
zo9#F5o4047j(*W2F!U!uHr?(lFaji{@ZfS)NOP^LOWkqg%J1^4-+XrT4vPyZb~9xv
zso#E`Bw!3*a(Qf3dAc-&2d*wxrOj`irz9*b>@Z1=Tuo}rqo;7#E_DjC(x&MSm)|tv
z&Qn`Rl>3=Jf%uj}PdGa$S|Gu+OL#WbM{4Gp^?NzCWeC$^TlA-7JJ^_{*<64N&97uK
z9HN6ZJR7^K-tDQH8dUG%NQrEGafQnz;;g%{s+53@F^s(|YbUk^>)?4_YsT9Yq0)EC
zyDgu(l&(_Sr3l&HilqEthet&2*%FPmzgz*a4<`c!=prS9VB1+f1Wkh1WRV<`Sf_L?
zaB_oZ9ByW|_DG_@iuXr8VP2<J(re#C?nH$NOKUH2qay=XqO+TC@l+`?Fp^2P_%#wK
zT_>FyPjPt`w0jdzuMFOW)7>WRHj`VQkck^e3rvN{7z_rohO{D}yukRD5PM_!_A=wU
zML{{Gal~=nlV}BGp4`I#MJlvewI;$s+dNggz`$P#V3<_Ts9+RJh7*hTAwBo;WhZNc
zjb46DrpF637j|!!+pPjUP7dvlI=s32X5fik?<dh!!EE@SZ@;X+9!V3>uxRp!u#+pO
zXv<-jlN~3@PhDGm4Xx|prNi=H!m~mD<=_5Ft&#c*YWr8VkB5emQH@?$ui;+SN_(fu
zV*%TXl8!BR^(rF^LtJy>wF+x2*CvdQ3${CW9ScV$XNISRCh{ZGFw3L++gy8r6N`+t
zfu3>lWxc&#d!*7k3sbet*F{759;eds8n)r5-1ov;PCJL=<_C=5WQNjRArjG!#!2f>
zcN}owrF)m^1TGlK3389or_pnEJR5qvh3(AU-V??Dz?SA<T+A5$)KqRTPd%?o$XFBb
z_VT6HYvq^TZ#h7xxIt9E!v%*pjq#xtHv?+bR@v5jiBHM&%68Jtar5JT%)!b2zznXX
zZLGx;cvWEDJDde6ww$N5{jZ)|{$YZ%NWMW1aZ-rwC7@<e7^~ppcE4tTDoq6%(DXRu
zs<d9jAFAtn$y+34AE%-I32=9km1n8!gwMnj%S#+c^IYBabG(Pqf;{(x{X3osp6UuR
zYaYipo<W<9{+i=C>xs(d2Mee!asZEWEPP`^TmtWB(q7O|+x$LVWzF!z&(Evkny6GD
za{bj$t6(FcU`pwqEZDx7)?0Uin^a{+MBv_@WTPH&1+(5H;dIK%@yD{R2z$Z2@N7E=
z{tqhbBiC9$sso_U4xpIYi2siI&{U!e5oi8j?At1=8r#pgj6ul?8{!uVp$AGgG~dM1
za9C$*g4NaPmnCAxq!GJ1x|0Pd&xt;Amuk1fscCy-?Yf+|R349^N&%HKq_1iZbG0Vt
zo#UfG#lGsvQpqw$EjeEb@)X);sK%0>?VaJ_+U++I<$G9>OsK1lfFqW&P9yk?3h|!(
z(PaPoWLOcA)1r?@T75VI4RL&&>{bM^R^ioyMv?}!W;2<KYaJaQljX{qAtF}3_6^e1
zP*c~Go?G%-fLIp(JP7Fr)eTU+K#E9k>QKzxPC+FcM5#phlz$pfk4cs2A&TL4mWyOB
z&$xiOL42Jnpm^9#q;Pwulw~#uHqdmtw3bp!;ldlJ$f*Xq_@3Fq7Jf||V(!aDd1F$j
z3v_-VmmvA7e`9<5{glmbvqb*mlK=pdZj<$VJA9Vsq(58`Kad5abDOe20o+bUFdCqU
zb#3zqM?7h$;5K6zq5H)MNb-!=daC)-Vi(wfS&QW6Vg3vpygo6SB5i;4Go!H}Q#~UI
zB})aJewe=?-AiajliX4F<4V`7YE#=D6@$59B=VY&QbPDk0ZmcXdwN`BBDZ;E`s0h3
zx2_*c*QYD8xcUr~lz8*XV7V?dSA?JQQiWt7V>3k=bTkS*1eOBLZ;V^8!9sApaU{!<
z>Rs4V<Q%qOLDCSPDAd?w6>3)@jdANzTOR>}XrGGQ9~;<RjUp(ZA-M_mkH(4eoVCBo
zj{Y7-2u@ue7i*M$B}SiDVSS14LykBTM#wajVji18?HQEUkf@^A?i02=4I)xwkGpva
z?g8EkdGF_db9=eI_s(fEQmZyN#`t?B_?+)Z@MQrXP~3q0fG$t&m{C}tYS-zA6CWj%
z*qtI7=y8FSL%<AHrevoMM)6uvl@^FrkI^8nR;D>^IWxh%n=++SZw&OE-B?z2$dI-a
zHps6@Z~WToKaUIvm00m(=@ia~5d8Q)cG&fb5B^tz>0wlz4tz{k{g124J>|p7YVyc;
zZc1!+aaF50m1h-UOzVNA^a)e55naa*UE^;@x&{I%4RY3&6o(UcuY@pl9DRa(mAiD0
zhL+6XLW8nFgl_CWQEzcw-*{6w;2`K0RNHki9=DfuRsJ}2IJ``%H#Jkj>psL(AR#4I
z$j^L0i%3bw^^Iz=mdM0hHEvB#IF4BF?bUTL=~wl*FxOkY!s+kfG+dQN1U1x-7n0Jw
z1O}C=p9i#B#?I~ptzy@&>eW@JuWRBXJ&0lIBTGj7TyO9ucOj%<mg*7PT7uLBe>ZB$
zL%#pl5kw4s%Jyn*SvCeuh)zUVGg6RGEv|}KN985_Zki7*uAt)ezT~qV-){pxk~{=9
zHX}Jc2&AJLxter!-OQBuB`C?2Ve&Fmm;TB>UBo`bD;fqvF~4L(kx4HF|BcWuoHPS`
z+I#%U%8Y3wN(M<`oz<sKuL_#>!QC%{%z@SPt8r=s(+l*oA>!<5KDftW{a&BEjPoDC
z{0|Y#gepldk|34o7L)}I2Nc*P9kifY#?aj_xVT90??3)nMz#sUfK4+CZvBo)@ff_I
zVi=yNGQzU9K@IB|yGa=>qImRqf82@fv`$*-SXRn@wG5dK$kf*-QP3-kXI#@43YLBl
zHoYCKhoQ9)B1tgNSXNpo@I6>`3o%27P7DrQ9!DDDmi0w2g@=hN_9h?ab5@MPQI=`(
zi1IHSea~dzy5f5Xc#J*FVVej^e3lt0w?PkDiCp{nu00_z#0)w`W=IcDW&w@B(nN%}
z5>M~{FqAdXXFr6r^UJ5eL-(mD4r_&!5%>xExr<wNZ@hF{i4Y8RcYG7;;T_98$@cb=
zz=C%K4`!ZkNh6;^WU?ci!p=}i)a)hPl1G}?(DP}RAO&!SdqTbhzo$xR5DdrRgJ9cS
z;>MU%qQwxBdZZ6Ge#Z>j02=G>)6pRKGGcJrDR4Kfm!dw`!)X(@QDxi_Jy=dR|Gn{D
zri6pY7<pqEon4&kH3&0`JIRdH!%78_GG&{K`&z_3K8AvbV+byi=<G>~kDo%(45fr|
z6P4_~H(%@^QDgMmga;$xCnAH!m8#}zFXFOppX6eKJzvOna~{aH_K<PFvIa?P{mvxX
zk9<)iVHl%u=5Hu%qvemAbX0>e4`Zvz(YiB48P}}1;7jgdu29JkzC4WOhx4^TJHXW|
zhgVydtiaKOJ>1Khz6wWATHoWaU#5XG__$|*qkZ+A432l1Q|JAj|9q(UlkfpqYZy}*
z>}sKNxpQJ?Keac3T1I37k5TS*KRY8{(iZB9-`%n~$>qzejQN(2E0tLZlCNy=&QUrj
z3+n$tIy@qy_QSKzF3z{%0!%2+*f>)<?%&M0Ely6dDbVe!99IVj048n<N+9x&RaK^x
zHC}qtTq^6xtd{Fde4NKyE0wTvWL{%CMiQUQzkQkxAs%Lh4^R#z&?j6^IOQubpK#lQ
z#q;w#v)9SJQEN`+iC~R=D_=u^{gmcu@t3ZB`blP4K6ao%Tr&FWF?fVP#Rr|t$AxV!
z21M9eaDDwn@nYPb3b|VG$n~pcKC`tBgs891A{`po#}s=6n|}%Ro~WhBW(w4&dNqKq
z`dZpc^yM>LSU&&<FNB`J>&lFUh4sc*@6v;4!F~qLaLMLdFxh~W!y%6TmqIohlA^;-
zBkd7nCa6<6*Qvd4k+l=jQdj(_$<%HUyzMuQ&a^`@uJ(>cxh*V3$CLG%km)Vaie~HW
za1M)^wMvF*Bu#)-?78e>6nronY~FQY@d({*1Lau$T|sQ}M6dvLY<t?`rc`WacsY*K
zm#SROnK894xyoCB<4r-1=c;36&6gT1$D1fCx?O6JEx~b>r*>|3all#Zgi@HxdJ;8(
z?LcxcLJiClau9?+O3fAhdL9!5*S%1iurxwBoGrz7al{URXabU~Us;!76(+Hijv&x@
zm2bxP-0tPJKwvr;v$MGAupXz=;TP0b(qGhl6O2pcZEW)rfg9ryXFvC-Stf&(oFMfX
zMyBGfOctqT?-ahZ+G9a`AMubMd0npq2%fvG>bNuSu&&=fnt$;t@EpEEaQND6CLx>r
zM(;hC(_(|TD-%zTR~&oLcWv(Cr{m`tu2$0ii*lA_?DTLlHe`m&>9@|eiKaMnjg2Dk
zi&L6U#@$ohbi+Ei9H-k#X^)zCI7I-YNxQmD>=tUx=h?;}zV$W$mWXf1wJclw0F9Pd
z_qdmk=P2eTR7&~cCn3rhN1t~7%W(Wg?h<<?;NfOW6x7@|)N20&|IW@`EePj+^58k=
zmT*^J)pOl4H4SA60dPt??QGE2)>c7vTW>h))N>Av)oN?2YaQR&ai*zzS*NV_rwD??
z-;kznlb1c6d#P@(JkJ-_V`2r?XR@VYJQlGxzO+R8xy`{(jE!%*8e&>nt6sKSGO!<K
zcPDm(r77I>@??{9<qTiID+;x?vE(NSyriK~$cQ2SNJ;!0Ac@?)Jd_MH-MPPfo&#+N
z4~s!RleixlOE%%VZ<-5^6JXI}FqyRu8dZp8;!SoM&F1y%<WqM7GVN~!5RAohbUeOM
z2|z^dd~nj!!w~b&D{}eyuR<9%WyP=#_#;?`0uLz^o=ldRg&)dz#|ele#8xz8Zl70A
zHdpOm*_&FBkWm;pXa#X{J(f}i`c8UDj3uD*8Np8k8-|I9PnLbnRXdxRp`7D(s+>4%
z{_vU9aX^ekElT}lKLAH#zv*1}_SG5e)tL!Cr+l&}mbcF8OH<yU)8i=rp{s_R+1z`t
z830qt7^RFWr9#0sBa7Y!$~?>d-X}E)lvV{X<&Nua77jXE`gz#h{D`7tFty9H9Uoc$
zjusj3<;|i4CCMcc<e&6rOddnL&1ox5m2`>vex_r+Zb@g94TZOOQBW~}Tx}upOLD^j
z9izDl{b$n63-<(^&mQzKN~-mfe<GKC?uf$ef~0rE=#Yd`MDadmq1Bc9SDiPvz~0Er
zHwG#?H00Uq3C=shNSjl;!mr*;sg`ntl;uP*iGxDVzqa5$W~1MlR$?VZacp+;JFy)Z
zx~5?;zR?-mh9wfQ??&h~{Rx?sKx2DexAi+(>eB_=G^Rj8#dbZ{I!Z`U7mi`6<kK2}
zwgm=dd8~*at`-Wqxn+@dx3TJ}_+8b}7B|^5ttTLdqC)d@8W_#k*}tHDIj0?7GkfJ0
z|G2bGXeYo>0vH2bl2<3J#rd`lv^kQJ3SE)Mhpq0Z6c6R>+aOOv*qWtIb<3qt+7A`o
z0>p`y<H{fP2t9P}twfKu-8Ge|atfEw8%!@7Ow@G+us3SBh8>&eALf%(%EQ~lRSnsS
z6p;n_+@KW^8NT(9#lzvDSWxSo5*FW*FQ+Zii}x(T0F}!0yl>cU4uw~GZTOkkVlpkg
zd!C@H=Zdl6y2RKcOkWw9XR_Y*m-9}HmWYsK;jg&w;M8>NJXqT3MIUKP0efYs*-Xt*
zH6aH;gm}`ol;gCnmVxonHjY-r<Ef8&q{9hM>p$z!f?>VsLvSaZUbk<a!H@cj0wPv{
z$@x_pc~yuQ0bcFNkQ=_RYHp_Qt9rpHS-=W$F+#DSCEw?*cK9&!^le#B`n|`$xq7~5
zqHy8~XRMlLw7;_?K7y?1t?rtvVeD7W;df);fX2J_^TVHhcMN}X58)oYc!Z<>PS6JN
zSF84$k1q_jZ;sB4X7&^oNy@`B@q?CO<2Zkb`uCp>HZaj04<3o1|H(D{%dZ}oJ{1ET
zc-oKt<*NQmqCW}v@O5JuVfo$m^5f9GKjQnp5#@ps&NR`Qz4kvS!rxt<|A^myzcSqR
zFul6%8P3A*IR33P2eNQr<|Rv;C;y5KetEusSv<jXKUe{a{ZJX}e_7~%mEbp-mXl%i
z(>$~M{2w3<<ATtp+O7lt42CF@ulZQ6n3Vj8?7uNI(?d8&oow!UQS!vsjC|RqT-308
z#Pr|4{|)MbIN~19{<?7gv)q|+FyR$>PBu9If%LFjFHrub_Wt-ul<uLGblMoP{U_3L
z_8$=ZO<Df<2{y*iCQfX3I1BQBsgYmxViUK*^S_nme_uhXf+=XoY=%Vl9~{!(0Jr?E
z-T8ka_}4cRe}XCJ>nf3m@ZV^lKcM-`la5D^{tUkZ!o%F!+|SU})x>by{}g+e{Xs3*
z=MPn2{`N8wC-7YxwuIE5fev~Pj}q8E&X~_liO=~5gmAv>WIpGW>>?4*U~(Zy!Rh1p
zA$&FXCwLM>z^b3X`uzympI`Owr~hGrzQhm3Cx83upP1%`%R>|4V)%{lpEMCLp~2<E
zLK!%JM(i(;73?O1Gu7zEQ$9ib2WC$!3Dd79NY6X}x=R0NwR00b_@9djnG*j5JRuC9
zig%I<Z=e3Vt^Tk7HhhTK;n+x@@#hDRND?zJFyJ<X@&8+;1UoQc{X_>UIxZr-qI~O$
zQLx){xc^j^|8|ZBKtKy%q6s8O`Garxi)#E;pET+w2(V|ONr?)n!0thVfwbcO-=6!Q
z*Z+U8tX7SH{eRH^`3R0b)X=9uLW19BaQ-(ie!K2dfxPsGuK&%6Z$1S~|He`HxKaK=
z#lxAtX@2}))#5*pRg`%MF$vrp@c)5U!@9ly2VFty{bSZ|t%)`oGVkDEe^O#{qNTzg
Gzx*E-v0b+S

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_one_model_vs_two_model.png b/docs/source/blogs/media/tech_blog12_one_model_vs_two_model.png
new file mode 100644
index 0000000000000000000000000000000000000000..636ea1f61213ebb0bd1c59a4807dd332c9b3f7ff
GIT binary patch
literal 110824
zcmeFZ1y@|#vNnu#a3@G0SO^f@t#JvO27)$j!QI{60)*fWf#BA-JHaiuli=<SUz5Gh
zz30AnpZg0w##m#mUTbPq&8nI;pCU{_P7)o32n7ZP23=Z8ToDEa&<g_tn}LJ?edDu@
zeggfWZzd+DAT1_Fu3&FtY-VW$1M@D{Dz;J<&hBMjn_9541P*}|$08O8-!8eKNK70(
z2Y=exB?aI8>et~L|6U^a?7Z5Fng-RUfZ!^MoWh>zA9=ssh01}Yq|GaL#~UquzwY2~
z{ZR~!$b7@CQ+M(Lzb?#vy$7KgpuGvEpiAjlFZ@YYv)Xhiu}2D5UdQe^GuUx0wOwEN
zhIqK7c{1s7VFg$0#y{`lLsq2uP&F)tXxcpF)s~pS__y3pd0qnT*54(KT1V%fCZ*T;
z*0WR<PrFCE^=o9Ao$d0Pi@lcG%Q0V`*Pu-y4@j3#BEE_U)yKeLd)MC0)q;O>{-pJd
zJuwhA_(9GEn`)MWgeEBa!z4~ZwpbTKXE)nHLS_5I<3aBCSDfUR2<K`7AOZNYXy37b
z@1S(}+}~4E=t>_p`n0n*AhnxDiSWpJtNnI5JM#B5!cDt8N1T0Tx?_)$S!F(O=}MpK
zZFT@#P@1b6fu)T>AQ(F6GZGAJh#3q3`UDHTh@ck?4E&d17)0nD2YQKT!Tswipf?Nt
zU(c`^&jm%4#H6L6cO^r6BO_}EQyWJT8=G8cQ!{4DU`H_M1JKaMib?;Ije!x9tCj6@
z6&QY3AoS77$Wfo%)ymS^0q835=1&PA^!fQU^BeL%MI0>z-he?0<YG4VM&w*fEKDqK
z1X0Mz$@%R+83Pr?CH}4s{Uz|m)X~uv$jt2G;=<&@&SYb6!pzFc%gfBd#>~dX2ra?r
z;AZWp@5*THK>1fA|7u6v$idLw%+}G&#+v-OU3~)^Cr5!dZ=O5)ufM;>Y2<45-#uA7
z{5>t`1eu?|FtakTF#lKE(5n2;Z-EMCu11#X;$~J*@<96#<Y49C|5N^defjSm|E(tY
zziYCxv9bMo)qnf+|5jCTFtQi3v4ZyLDEQy3`MdJJfBd^5KlAg{|BV!X(fQ9?D4_*W
z_?iEUX@V#u@#Y0EFv2j>;v&kfu>0CCJn{Obg;>9=Qq(tD&`v0#1SKebKRmqMEyuWM
zb=Q5ES~8PuYouUQ)ChlhwTi{@R#?=&?JP5Oj<3n3d~^9NH*bjU>|886`&05<lfz{i
zyEG{^4h{eSD<X`A_0PAWS8)APC2bSh|GCI>bqaES)?_4qUvhFJB)EUPP2s>|N2(0!
zC(5DzbAdm#LiIju{vVC_3)hGX0}Q9^XY(fiv6sJJz9Ed`{f{GomQi5D#_9mqymsEH
z{?8-!_eJXcgz+Dy^QR+aS%5f;Dr1N?knulF`?(yHH1K~9>>qFcKWY9WucmPPewxo&
z{EJP(4U`pD3tTB&Rw+f?w6tLoQAF<x3pcLVIh=Nt=bPOiMQv6KwLj}@R_yzP=}NSa
z^yK6+_~*=jev~A6zq7M5?Zx5ev^PCoq7E@Vn6Ife871ZHD{ne%GzC*>C0DKUdfhtC
zH#!yXy4+nJ6l&I4f7Dl)b{1DDd|AW-s93hQw^x1urE=wU1RzRIC4f)DzMX#gg41a;
zxjR)nbrje4D?3{(WWpB~{*6AR+l#-J)j+85&4JXwtO705UqYhLfc0Z=Fn31RCtdLA
z-r+*A&1ewc{AU5S)BbGih|rTK@Zo%tmXUGT{QT)*<*Cq>q|&etqe!hhqc!Rd&q|}#
zGP!8$@$M)(LeFyGEA9ER$I-a|3slqbocCYT(mo)Px{{+4afFh;w!6H7c9Qq>aO9)9
zqU*MSSESuk>lEES5Kq7JneVV-{jm8=Zg&nsqc7&P?6&pM&aN^(AHKZ>N+Ay0Rbk-e
ztf2~@W6FZl(Q=Dp51!gstJj?}TW41=y2GGG-g@i9r6zDI%|SU6sxOfofEt~yT250c
z=kpfj<Btz_j9gfU$^;!?^%MTR639<aL|5)bTX=z+-*Nb#V*vy6pQU!cG~-3LgSeN(
zacSg~(K{gY8Xe%0>%a&kfWhX`7pALmNwP4#4*?Wvf0WMvGE{@a<Blmt{aLdr$bM~)
zw-KKOZ%t+4Wv>{8gfdl2HQoz7oZ|{yEjk3Eo2#lO$n?&*g2oW+P{JHF_{*A{4{|mJ
z6E#aPc~)WQUq`@jC|4A^@0Hde>E45GZ}-ZPeU4i1n7nQ_5`WfMsL{Xb?8FqhS6Je<
zoE?*Y7Ywk>a3oz6y4}vLANxWj`xQ%W32=kypNx!4{m#!Q%TiwGq1wDj&Ss`ey9O)r
z;o)kfaqwrcS~;5;%d*Rg*ZJunv*x`c`LqM*tTb{)&sFelA9CJ_%3NT4b-0vTal>r}
zmAV84w3CP13-&ll6hsS2@klK;0z5qIUS(7virL^`d6g{jed3I|O;^dLWrH4?MK_p(
z4OYWmEWvlY(pTC1y}A6mwwLmUe`K#95-C)#gza;9we+)k_mhc)3DoU-?GTx%Ff{l3
z6}$1fsQmKQTN$e1RPNCM#RO1!&s+cY{W*vg9DU14sPFsslChUSD8m?|f`ngD`~cn`
zcf~tv%gBTe;Ex24ynH9>I$fkfuQDBpsZ6s@z@#PB6@p2#S|0S(*xPc9)cabWU1p=^
zz4ACQZdcV1vgv_YHfEMT%jrI3lsZ!F>G7fXo%`bwO7PaG&{IkEyN?4_4^L;KLR`Vt
zZkDh77XcQMF$Vfn!<j;vL$zFH6K_lG!(wQ$?`jQtQ05yPzQ3@k-s4gAEC~)oS~U#8
z5AUdH4<gVhsE#;U7|RwzRB8M}4J6p0w|^{-0xcF)=jRb3m<9fkpRj=TRGU`mR4%J3
zA~YqAB!L>U$zVMh9_M{<3ZF}vOi2Dqj+*0~r(y0Du(8j^jwTv9EBC-~3Mb`tb{L+(
zaXUO$HaMD8U^_d6^o?mx`*$J^qiP$@>r8)qk|AP|d_9I3@^;In<UR&eKY}3^kz<P&
z_xclvATF$3=z@GI?v;2?__X9ODgcNA#+_d$+o`Zx8W0`?6V=~C7xy$Z!PV@!!F@4t
zvTKS19*^*#avbrrSTGs|(h}!XiMkRZWh;V(WcSeP7en4Z3zb5EPP@N<#Mak^&2mGA
zStvr1-8f#-3$9H+^bqKR)w6knw`$^sxOyzg;w4E&y!%`J&>$ZB*(mpZjO9XpHp&WN
z*kj&}W8z3jI$jr0Tg|I;tWWK>nQSs~(nlu$J>5A4C){eWKK8Kn&bnAFn*S8Z$iyV>
z)k>Z$!3HrxzO>K%NeE6(hY&&F2bKeNWPjqMm!b~von$<86593V2Q*03Wi6K)Dhx5U
z$YICDFCg;Q1%A3LNC&IBs2Zx@Gu-LS4wxX`BqPJaRM+&A0DYLix5>%LbSQF<n80mv
zqh6%aH<p)cK4|`|rtjKEQ>eN1VTU}j4)Xhl3@?#S#x&S>aw3=%1$(Pk7_R*T#wOmH
zqUznJ0VJo#I+11;IVVoq2}jd-l~g<)E@mdvcpXe9zDdi3x}ObmPi~Lr#s{yMWP0Tv
z2P!!yZHr!qi{X+FSu8g<Oj#m5_C^tZKV*$&xx{)2M`>!6Za+W^cv4~1sIC~`IYFF0
zjzG*t>Ga#o=<$VTNxz2*vDwLbk8w3l@Ef=@7&vLH`+5pAlcyiiZb7_U_P?c!610j{
z8RIdZlK0>Q@8tMT#BYDc$s=hb9gAE+nXl<K>>IWhucjm2j(JA(%k8)WkzU9?gv2>1
zCEy3D2v^!tZaJplH90IF2<&ofgV@;^oKTRzVBIuq{{>UXg@wv-J&ZSuH3*q?QxJo4
zEU=+~l@F>CcgDmpRn8Pfk&*hD>Q~{Y#u)eNQ!EfJ3_U4IdVyLH<0!W59-ge|{A7rA
zacieC5!|OGiS916gQ`I$CH38za`|Y1%On)T$3Q-pE)t8MFXFbyyst&{XX@<?gBD8b
zmWu$D;K3}YIh8HN4eau&eLul{?4(%z5Oto6>3LGp;eb1OJILI&csZWyadkLt6AOvD
zCEe)Sz&)G|TzI<Jo6#KAD=`9HyE^XVB^GJ&2OOWgU2MpA+b*_7z4u|#Zd4X<sc5at
zm*ZIj$i@)wB!x6t=eXhL9)Kg{1unk2Q?IG}ZSl=}{-6jcSkX6~LjEJwSZaW4Sh~0W
z^3VdKU{F(6#bqB(HkZ3ZqhgHQC@tx`QYeZdUtwl2e62d&0fM^*yB<SIfY(7QoMflb
zgsh!(J|{f{nnvJ=_VBH!T)ffEAkt}L$b@71t@|Kj9oTINjzPI9-iRVhlMC~X^sIt5
zIV6Zu_4a$Fw>kY_Dj_`x(Y5Q-U{{J1u)j;gKvg5lxypB9pi7juxCG<1+wWLaAZmIE
z%k9&GP1}y8NcniAWTv23N#hX9uF;bt>E+6A{f^Lh$>@+)F4M90E`Ri5Z8D$xN=9Zf
zcfBS_UVL{~u!3H^-FmrOs@m2f1SJt+mN{8hz}RhhwlIw$>x}1w^Xw#es*Ab--@`#W
z3!TBSa(68%Cw}x5OQoZxY>CslzF$(viwu0BB@8a)^NJYtN^#BI=~9ageTrO_sl%lv
z0qWNMHo3fH*Bt9<t@Ham-KQ$oZTB>_>3rpl;abQls3+b@%ZbnNm-@E3MbjKU{!b6E
zZvkY!ti5Mw55HFf?mf_@>y-t*wFj7de;%Pb_n;BPpr>$vbTx-Bz4Fqq&&Ozod48Wu
zK7H?V%~ydEbmNPUS9nG@?F950!`LLHkQIpmnzYKWZ%+&iHS<MxtIa7+z{&HL42#QU
zx1(z@P&=@qm$i?Q<V<QB#9@)ZIVM2puq3n<kC|z=SJeHNASeNjRg|Uvwbel)hMiWe
zY-tzeah{N-ano_%p~Acyx8LX@5>$QlSY)%I&&Wov(}ot1iLti_WlZUSuqyyI`g7mZ
z;<wZjsLg7oQ&Lb^Wp(>ZCZy8?nf42*v9oL@_q9DW#8oJ68G*6jQs1boj1D}mDqldQ
z2&5$(_XNxS7zk)4(w+WY+2aFU){UVD0~l+io^l<87F1xf)nP<fS1|loxM8L`myR{}
zcqC$AfOV>V)C&t1H!yCuIpVrsH0^8A*Qv)EAb;}ri8E@`EXNUD`5)uL+L#PSa7n&z
zWiWj&$Etd<hd2OH&7BXd+RQ3tw6-!tXB?jYRm<e)L7wDH$*uJ<+Ck7l(AsJhR|U@^
zvUntf9^jDzrkqIVohPB|?~dcVRDNxtGk==GkKHRlaz<*!{eo;(D_{Uv)=0A2qmf-(
zoArcMkz%zzX&5^deSHqr6of=#>}`R*IdG>{8kcgk-7fXwiM~;IJ6bDsyNQS<*`3qY
zF->Ce&I6n}G3`^=YWNzAJ60M-$3!H!772R$fZ2<A5YkRWhH##S;yC3nJf}WAR{b#T
zmw7hVMT6(@=GB?h%rj@bY&5)jXV(qm&s;K=*m#=gul{VRx?e&~S<g#3eQG3SCO{gq
zN_?@?M2h%(UywV$Wr}{w58&3TOx2xn4f4ilOQ7in_X{G+45OX^%s_Z79$_g%6cX#U
z2j`xFMe;Z4AOn8Ok!^hlgZy9uqgAsb@hsXXK4vyfC@7}H_1M21&C4)O0FzI?ZlWUD
zj<Om8-G->P@*Oo#GHSNh=Y9qb&<*B)D!Uo8iDItysy-enbn|^|!cL{t*r=Qv127_9
z1{vp>F}|%9o9WAU1$wkwaQy1XH&rERWHN18^f+oEWyI3Qr5?T6$}A5AGPhpmgn&-?
zv23f{%2e<TznT3k_^8V7`gphUbSdnBAWE#H8AGzR_l8udAdD@0GeczzN!S;_D6)j9
zHK!I60<xbXt1iy6%ATZ%^y^)J-l;STtcOyTaB$sJ^YG2Q00fLZPBxcDO0<X3r(V#Z
zW%2&jA|B%rA+AK`exZn^7jWGzRji%#D<~*P6@(?Y{U}_K*WZn6h-d(zQ^DL!WD0OA
zKN%;|kVB*BhWVofvg}eaGOTOX>VJJ!+IzjX+E0^Ny*@56#7U!Hnmat=6f)d+h`LGh
zZlZzMyo5CbL_u8<s0ZIEK13BoU#1cF?u&`$TQ7%ooQTI@4HruT(+g}k4z8}Nib?kw
z6K@vA8Pn@PqExB7Xt&TC``%Y3V6RT#lmk+mfYB>VrBvckpg`gYF;bK|SDqS?;o3Cz
zaATO`@VZziZ^+zLN{aC{V{a2&FN{VZxLDNRml$sIUIZ+K6^aj=EHM6tW&_{{5Ek}k
zz|o7rsSewJ5^q^d?WA{T)n^};^D14gw4vGCxC*1ms8|P`AtNn(Fdze}zOoEH{t_Kk
zUlt<&zz(4=<xCGo|H?HJxEc33Bp7OU@~2BRHBS<??8Dd|{BH;zXLXa~gF*SkmGV^d
znAa9@Y<11ncE-Bo?e>&Pv+dq#B@9@dJA%n@?DS%0z7J~ZH$$gbTsx=ryXaK5V<#Hm
z&EJJbxg?mEgGN(+je5&3L&?D%)P%%+g-YM&xxVHHXPC)tSaRP@RPGx3D5<JYKR!#v
z4=R{_4&!=JmYjaxQSunp{=%9*?<M7`1}5_MpAK^jduV)iK|5vClif)V8E&&Pv2v%v
z<lh%Y1-+H|0TIBFm(*`!y=K(Sk}^|1@MpShz9K0t%QvRJV}s<aA>^kt3Ys>U!rH3$
zsno&4y&onUWkBM%&@jnVQYAVyg-z6@<n@2ZQ+M+-tQdB$ci{dB7UPquBbn#O$6B0o
zMw&=>U|Rgc^)Bj^XReQ!paEp4PqLZ0EXhNib4_moiHIR(ws+BN`N2Q&)U@=gDm%v`
zL&6ZN_idx0zL4v0iR|4_<0bJ%<CCGuGh(&N{=#ZLitU+E*t%NTH1aHLmMzRqQGelT
zq|h@j9T6z!|9HT$6u!7sv!2o5A9-mXy0WjMg&qrD*9PEPBw?l5ckw=M4yVTBT4@J3
z2e;^VA#`R^FGucWHJ-{=I*r0HZUip#qvOiWgC;PJun}qIEyJ_FEXfs!y?*`0!XMt9
zo90|fQg;#Qb22FW_cvMm%UQY0pGisgSkA!NnH}Ryu&{W^$DFtldK;XuAg*bF)Ug7V
zG+>uo3pM`qJDR@wqs0cuXX<H=s!nUz*C<%Su1VjsDyIo5Rinu~&ZD`l1`2szt2SX{
z*uZprWIz7-JB^^kDlblIl=hfofz<p^9Zd^vlkh|$1uXn&!+wO_M1Y~a=JZXZ(}orS
zA-zCi=@1hvuG(wC_D&Xh0t*6l{Sw(~+-~OR0g)!TpGhfR1|3Oqs%q?@QB9f*An6O+
zQ24Y63${tew0_(WdOg8D11%@*O=Mq&p{mz0d$+^%(@i%Ftdm2|aE1=|j;&Ig);xv}
zOD-#B(}6YSWgkuW#&x&SP@(2tZlxrc(68!zrh)YQ7U02u*0G@VeP4FGAldR7p5P1y
zmEDlTv-1`4Pi*NYr&I-rxU+Lr60%{})jDBZIoBX|kNZj%FbR_%Jh!cXWxj%wc%!v#
zjO4dbgUDAHgySK%s{oUGzw2M|z<02Sdq{s-ej8|@4&Np)sO_)N0U>PK>!3KYlaRPh
z+i=QMlR{ERLUdya^GaxYFTtl?2sNNGEIz!?XZGc<Zb{Jo?=<pl)_ym|Jnu>g(iRGd
z*%HaVRAQ&!$P#`49pgKNj2ayO%E~+uuqjR|Z%Q3qv+bHFmGVzyo+ZUN%}mFXR_}``
zHLh&L)cS(AT-sGuIx*41L&_<%fIwmRPBBZl#dr9>I*i%8ODKlAXoIlk0hD!af%o~s
zNLTx&L<H|OV)WJtMiwVGmddD^1=<`19Wq3=gW@PaY}`M1jIiJ+;xZvt#_A@s41FnD
zs%(MiJYn*2a|qS)nHu4aCG0W%gZsFryOWr)^52th#*GEIe!#;P@g~TL5T7P()MT|s
zie;Ggs?>G8Mm$Cl#}YP3gNvP`uJitCbcjG?;gJ5qV>5f05K~E*sDKQ(>{%PMo62OU
zV>qW<XCk=H0ZS&Z;+RI;?2^C3UoX+s*G)M#D?aa29W-1}imPo$R<LCJVC{fzlpYw3
zwjZLHt}~Dl4IN{LCr|KgR4*a}2)b+?msVeD#C57eu$Ulw04IAE!EecdD`e9+%Kn~d
zp7eiQcVYhLkS+f>-twQ7tIP_RjSQJZi=OR^nvh`Qj@^HqK8xH&MHrBUq+2>X>;ny@
zAm0dY$~K%?v?T`<n0O+a2#IrXWZ!fftI=T)e}#rWz&q}c4sV&S(<yResn(uz(*S+I
zK$Dp^h5UE9bVt>N_y?}J!?_hKbW;9Vd_=U_4~ka1eUYyWr#f0SEpLWEk#erTqPQIu
zkjrLWQX5040}4y?@63%hVQx*#<tiJ}aJVWliEGT*&fZv}bPsV@^1~zdrnv_3k!~6%
zfC`6pk$&~G4l{_LaC|Cj*d*daz-oTeHcdDFz_mq?dOQyxPVyP!pZvzHwt0_Ya=3G9
ztrnMP9XDcvBFu_FZ9H3Y>W2rUM<)~13IchXrZ)7J41I>NWw+y8@QbRV)q<|XM)KE2
z5D?V|&KX3q1pO(51InLy(l)ao!Li2zXe4mNKywSsZfS0mN8!t9fO6<~2leiZ`Gy{k
z&1wRLxCegxAV(5;7KJ6bbncV}i*<a{l40HePUDGR(L&Zs>kZ*sd(iNhUQf1V{b;S8
z7le?=4}3oJ^O&u2Y}8XJG{9-JwUU8CFttjvjng#2yOtPK?N1%NcFMZ&i;HXgoD7}q
zMl?<qHMg`k0pSe^rgjD>K8$1)x4Pvz3(cS{>YI<v@i+>Z<1qtVP!Z*Xli?}qm3pMJ
z<Ico;fi_=sZ%NierTh;fUv3$N$<85~?+1MTas*-h+S?xO3O;~Q{yJ!Q%LL~c$=`7v
z^>A4bwI9X3Y?>^WqvpEyIO_9g=!CVYG1kt)4Y#>TrNB>^q=Cs2@iRpb-vQ$o+1)(%
z92&%%behpNp;p&j%U<#y{z~1FJk`nDEtdL%*xB^c8fLyNH0ptfPRJs>v<C{@%r2j0
zNIvjar)~AL@XyD|1WR}pCE^f@7UbSd)mmw$gS7Pz4N{sqKE$W{Yr4%A)>4tPa+CeY
zx(h@nYppmd%$D)}ltSJKKu-0xOyVG&{R)jr^&X8bil=nq7qh~`twr`hW4$G}9ldFo
z^&!2!g`CIdlk&J6OIfsM$6c73qO8BCpaO&q@YL`Pw+mWrUtAR7L1r7|S;*=`x`7)O
z_~yrAyd6hP!#o*@oAPGflfcSw#ibijWIIP@0f)O|-q^?);J;>miFk%*0gg-V4S9*h
zw_e9J4#Wghk|P;aTyl22l^r#N47+PV6%nZcWdE&cLRA|xy@sLbX{52%uyfKL$)0$*
zlUDXP!Wv~~qjfQ>1k5P6=|^)oRqA-BLxf_@8ThEzL$8o}Zz@m>gzSO+=1p@mwwYGh
zx5g?40D~o62c})8t(S_T6`1}C;qpl}W;-drO4(jLz3=Kv^RYI>1wD<wg=As@Ev&S2
z8+PkBX0_PQc3A)iN6lv#m6*a8B|^|>NBrtT7pBlpb;}vs-o-T8wGv`ni0upmN6QIo
zpuCUjsH5P1@M;R|-bdWc%9uZ9!A{bbjO*DkP<W5MiiosKUD8H3586@XrGWYV(-LSl
zOf$szSXG|3v5w?==E(PL$*zy2$cP91<EYr=N$t)(>37+bPZ<ck%-3{bH9D3UXPoj|
z@h|vDmz4|H%G(|rRk$rG!QUO%x<z?trj6EkUiS?_oWDr&VQxkxgm4QPL+(4DZfDvU
zNK*({;7Hpg`ql>g0Zv5O#s(QMVUCwazhAL^3JnQTskLVqIzHaiCOA6|9!nTW6?F2a
zDKqv0qGi}}U~F9gF=m7@o`!Gja16-l_FOAiI!7C-&V&PS<#;;aLyp@gE%{KjN-G^R
z>O)VuI?y(o#njW}`sbyK_+m#|gb6DWa!R$E?dptrkP8TfmYj#s)2fYuxspV3v)zP#
z{x!qBi}kEq4Y+EP6jxay0g;NN(QZ8OatH8h74Rh#OUAFitp(Ezn6oY1Z|6qunmQS+
zRrH|ptN$pJlmAr87(bHgMo$7hLD20<bowJKFTJ{UqQH{3$_nS$SMJ`kKn3?MIKkrd
zZNv;0=uv}Gv#rc04u_fU;TyD{RxI+cQ-<r#8<==SQXHeT3SN^|tmT!5<qPbYLU6Mz
zeH2Vd5&24<Q7?Q#SyD|<CA(;T&Wca^a18KAUHhXlRn#c0hyzJ2*Z1`)YJ%`k<N0~?
z@oDHFG2`KVJGBhT%2R<#lHc~ICpaUzSkI5}F_zldVfQYfG5YHH$de6BYa*fs6gY3B
zZ4=+tTca2x5%Ld!<2<eBkV4TrxLZk4-C|SjJk5<z7`btF?pt?j-f~NW4gE>(3lr<A
zo8k&{MxWB!mg}mpkWzxpUPOOvkgoSlUTGRcXHjfB3)!D3z0Xa9!biGp!jbfB;L(MD
z9{`5fw-~VZrWlFb_|gR8S+0Nj<u{3%?k@rH4)h}lB&AMwT@Rz!oAk6rc{Be*_fEia
z(=1-hgB-?=l92%h6DiLBBSW9q47^B&wNDm3mp3_=3R*G&zby`hg?Rznc3nUBV#9Y7
zzDIWXtDjImugZ1VeUDMo%XkUNkYP46jSk;jo5yYMPVek>C$aXHikfy_L;-zZ4KQjL
zSjvGk=IEJ4Z$VLXpMA_BU(4<$vW?94!UfCM-$0-Y3s^NRKPITJR2F1kgw6C+V?H$y
zj|gDSg1UzFhUoevayA^54yeBZML^^H3!)dGGp_Q=eVZ&3K{9;osw1r0;2f#zKt8V6
zbKSa8{+5fjr-$;-mrW8tQXYXhE1e{}k}%6+8fB8$l2p@ahC6R1vdAGWU>CTqLoU3=
zNy@s23T}i~iBTj*t`G1W8vsb?zd=%#1N`pGvHvWaQ-`9#W?7~`X*uqIuAx4=U3HVP
zOMS;v*-|1#2uR_v%VE^nl1y<>>NLg+twr*W9As)5>hhNU8H`Qr--W?9wBAPpR(G4T
ziNhO31b|O~FxkX+%n-95S(tsK9wjDAjZQ$#G5XXbH}bbEL1;vnra2WWoS3N*4X1i>
zpcxP|zyM33(kxt;_tMSyLV6~E9*{6AE=(CVj3Hp@Y!q+A4%SS*J8T-2aX=_*y)~z2
zo+tYdfnWsP_i_0+sg@qHN~VdTU8aAlzH#&!m%vIL*RXm&FG=S0n;T=S*S|I`ziLQe
zSWK6~bi#^_v%s;jRrD9EsDzSKr2Y3a`*1`JqZI!d(3V|O%GqKVJ;1p!YM*k5?lY+H
zb040=N8D87TV$)b*xIe@U(s~~+aTuxF2hIRv+kc`;$D_01x4&HD%G^?g2E#%>iuas
zJZHa7cWvscl8s@M&?vntAi`P|LK>K(`C7_9jg%Tyh!Z=sq)?v>T8(=pV5z$AXG=CJ
zz@M3=Z~U38cj%kcAJu<4y#~JEo@FO<5>7?q*?U~ieZlejTp*(|`yGzp+Gl8lNb)YN
zlkzebuVOCtGh*rw59`Jq>NY3T$ZI`JPM@^+ASKEAJ?a$Bh|7EENm~X~`7g?M5sk|5
zE6v?6&RI4P04$NVw|raYaW*8dLSg*g{@w_C`|Mk)V8MD<R$Ry=G@)ZOgu%ku?xTm?
zH=BKwn_qJXeZj%Hx<BIIrZ+i}CtK)pw5*D7t=1`E)2{M5m6SH*KsA^Ju9-DAncaj=
z*U(n@@LU=f0d<29RnT@-66H~6)ewE80wkp5cb)axQ=x+yH5Ikc{uo(xj#lTFpEpE0
zDMj;mqt_TzroeytgVOQtpstu>NC2NrePq!Mx9HyN1>N2N%SbH4s>0*VY8}P{TY7X~
z!*1xDAx2l<Yl}eI6(K**gP=h|2Vz6GCk66jLo42y^^@0X*E0UhZ(nc1v?(+2I9iES
zNWC_O(GotM>Pz9S-CrBh*7U>TKBf=d!pVT7%nl`2KfQZx+Ac~ov!(j&k6OJ*odI9X
z{4VV}ZU{2rsOX)yYhBs)%r2{3H=M>DeUt=}CaoMpLT`|TTub6h(iZr<){_q~zkgQP
z%P+COKO-0=zP9Ryz<N^+D=7_M%7C$0ux$lVKb0HiP_9AMWe51JskDv=c?VVuSp<NX
z#mrg(P?2o(#0H?ixuf_<BWwWg8~1Qt=*%-5$=UK1{vm7VZRHS>a`1`Xf$;NLiL$Qk
zn_cK}jq0X1azMDGaPJf!0@j<V@^=@_hNVOXR$5g1Ni6zsYw*6yFjWY7z~8y+l5!df
z+SoCin%a`B>vxPE>EUDnMHBu%izcvlLjE`a{=!r5VN#^`<3eZeWt}G6Q1T9W<?1>M
zzlff^&#H<<<S^rS!51&L6>DKYPX23`ga+v$I}F}{ENFK$b^VU)d%&p(Q7aPk)B(@e
zw`2|lM!V=G^w>4&P0VX0>&_4ViaUqG!?BG1j$8Q}mQC#8$=ZE#zOUBDsJ?CxDQrZD
zd3hi)n8;k`PVLW%8Xk!8qy9EH`r!>-6svBe006Rg@~aP*jK@GehEF8x_48yt>&dD>
zT^1~EK=)TR>oF8Vk*sxWtc&$<GI%o)OYGTJuO^(B%3Ry^xchf}e5tFN;qvBhox@2M
z1_Cvu0Ce{Jr>Cc(B<-43{7}?Ep-zkYbPE6n7xtCflie>|l`za01;N_Wv$H}d>|xi<
zWm?_jqq}>f4{R7VU;rCd9kPK`tGp57yYF;Q9vk}Zd5iY7U7A&d9Q&EE;)GOYxqngi
z-#|U$;n3o5-hVhn6czqJ3r|6L^2cxg4?r6gB3Qdt-MkPrpxP3)uRJxyKLC-6h~TPb
z3e71s>>jX{2Ew~^%<=yj&GZN9R3Ho`RTW%EV$t6Sjeo>H(P2CvjlRBAg#51w{P#$O
zU%VmruS5ap7X6<c@&LMTynFPSIiUy9!g%6(3*BMW_sbs0YX5UGe!C&U0c%~f7PBn7
zJl0wld(G!yEGg({Z@l3!QaIG10z}6Qw?aduvfL{@_&-NIfbIwDDas%C>5u=~fQ_Xz
zFd!f}0fbUZiX4#8uhsz|Vl*rIhq;JD!BXmf064;tShIp=ijh3X#Q%fHe&Uiahn#`X
z4zo@v$@9O)`$T>Vg7Pee9EoT6UG%vt&bN(;5C5|Yn4J75pi=mwD-zsBgs*92JoB<*
z>Ob`EFU%<-jPa?68lG|KgDEshlQ7mr6GZ@BHUs{?XL*vZOH~tMW1at-<WTS28|eq1
z-i<yZCo){6C^@HUWMDM3Wo1D?FK=20-x0lTMBe*<5UD_k_J%sU<&aHsUH~jJ+`8ch
zV}EjmAZ#fanW~EsO2KkV*X~mU8pRY0RlZ0PSrQWee(*F+^Z%qX9T^-uCST+SSvWVE
z$Q8nV9UAXhRqhc38TBOzty}tk9Wws=c(DioRl(>HsJi-e(9b7gPypLWmnzTy1%p#I
zcm|e*AxfrD|5J-GJV-q0M>d%pw01<yjCg<|TDUia#rg2eOHeWNn|-tDxntM*vZt17
z?H{XSp*}~$P+tax{1Zd|Ua7*JP)uKCATgU+#s5``;aQh6D7+;72ZH|>5s*WmP&ypz
zAKyCuuTqu5<o#VQQ6)OXo&}u@PFh;JR-)g&t^<2A^@s#aMjJhyv`#<t@BEN@3HaSo
z;VB_=3ET*9a4LAu(OcB@PL}NdTG;o{5hszo#i95o%Ki;RQy{^TD#b|uD)@H@;m=GI
zVv#<i@v!dihG3GBI_vbm`yUM`a6Pk(>;79cd5kR*U?Hu?oqe-p(5<|~p?HQ-ZVPj3
zS2a;Ht=|HQIha1E(C;d#&=jtd*Iha#XHri08`!y4xOZwD@OJ7F=}WE;*$rXB#b6p?
zbxeRtY!RR8P9tXQX@rr-()=pENiFOAZ7!q9w03eQwH(lLM4yCUk1LfY#X+-g&!S{6
zinC4cT6_U<SV?!7E0uq^BAG^c_P0fF`bOG)`qjw&?Q;L5TeRoq>&cDtsWeO=hMIO;
zYl>MVQd142#Hr!rr<Iee!?ekA>dkP)W=L`J3R<e$8}z-#b55|EN&3j0o{?By@<rbl
zn*#S(>*<3bGAm6Ec`weJl>gn;rq^4~Vf*pGbSK^;PWigark<VqHLayx`v`Wo<k5QJ
zQI2$7C=r~RTM>%s6<%p`O%y|zwpuo~RLeEfM#x5{N}1|-;?x-IxNcN~DtK1PQF7mT
zVFBRCR~@BZk!y}^0}t-7Dh+Smo+{Y0m5GD+NQ8F^`@d!+d`L|g&gQ`Qp7-{nhCSPq
zlyr7-+a2J8NU~(?>{eEG5jw4OL7eIB*Xt=f>9bacPoxL+(OXs(WYY@F1eKPFH-@OK
z+1_b}>MrVT$%M7ryQ8J*%un@lbB~>qBcNc-2d<M)ZhYgr2hH86Fc)IDDNWK7zgx2Y
z`x*WZX$HK(DLy=|NmfWSZS0u4_Ln4fvRt5V_+IG^xox`K3u@D8ccF~*&LL=I;{6#f
zfsV7bGSV_<DxU%sB&)&6zp^VQta?Q_sg$LZs6p)J#Tp`zr?qnijWqZZQd<QAx|6SC
zx|4|r1B$fkptN&-JBy?YzRF%?r(`SJV!jk0r#wU+D5v{OWU+^<Wsh<hjT&>jHD;}e
zJx{{&v)|$1EmEDWxL=Tw3y-xXG=#?-in>a|#q@VAu~!dbqkM5L9A_O2WDNV3^89-!
z)1SfLZ;qV4xRy_rJC?_FdZf=a&#ZaLnWN;LJmyNs*z@i?eR&sjrEPZ4?KRL1cHyP-
zHthSHXZNf3y$TmLN|+u4wuJQjJ0$Ti-(tNI-lrUdoC{RAJaLlD@qB{3Q%oe%!;6K>
zkD`p##ev+Ucd|03K9wQPr5R#9RNZShc;$5ThMMyiB;EdyPi1^zig8NH5AcX&L(Dqe
z`ZgXs1xS)-313|cp0WZ8ZG~(?!XtK~&DuP=Jlo0(k}mBQF7fdvbuf<B_HL;l^$+51
zgDrew4{*u@Up{nz2d#lzr+f23v5AExRB1d~p7Y=-<*kSWYay-^=(754i+8a%iaX`B
zGcCPa^rYF?L)>Pa@%coX8<_9%UVpE<W2SR88(ce6iVh0kCmLg;@$S&vlZ`TJ^3tMb
z`rVCDU&8|UPKiNAn%MhrIw>Ae&f9iTFCGDb2&qzi7OuW0vHV%8nQpX!nE}$ys3D$W
z=Li$p|E4%{|E6v;Fp_;?PZg1H)#cM!&dbNB4qY}Md6|5?GZfKNiC~Nti!&R_#I+S_
zPjB;?VsA5EOgFHrvX<h9gWIX!D`{^YOX+e9qOUNodZ>cFvVT{2s0GrWU8Wb5%mQzA
z@8rDp;zE4-C?pt8UOFs<n_b+CroWz=>Ynd!NB3BgOrO~=?jI~=7)aU}u1eA6P}8=_
z0)jG(A3~#5h}&iBav3}?jv%zc@Is6+$kc?ady=md)b9{8tn1zF7`{8TCe84~mpSM_
z=r<e79UgQ{TQNlo@Iv$XmOny$fw#*gHl~<YUz9fQ`VwmxjayQhGGuR;-AGs$>G#F%
znQ^_2oO|+)oQ%DfHhm9D##-cTF8F(GU;>|Jw+dS1Mzp+jJgx+19o~gc>4f0DRBRC3
zukrLCL7G0+{9PJer)?fR<&)JglRV&&ZcwxG(Su}pRxk6{(%#pvhfe&{I*4h<YXwDL
zka~-Df5@}}VBuk9g`Eo@leuujUd%jfWEuu!Q;(ID`?yCuKH61=+tt!!I0Y?is!7D*
z&Xu<!)!ELSm2w7m^$#x!^GzCf*`Oe{H{}if40TGcTsJY;4o=1w3{)ZmP^EBCpY(QG
zwv{coMY#~CUBqvBWj!`U8NEH2_!Yty=AYTyx!=U=GuX(=dE#L0xwP5Zdl-a!A_{W6
z=gCpk=O>>2DmXJe%4ty@l6rNy9MUza^F``Rvbjv`Y|<@vt#~lFQBbHi_17-5=tiV`
z<J^<2c_=4-<0JU&y)H*BO(gwY<J2Cq=gf=b2u7JL1O5zLW8yIkn)gcIH_a}kQFq>W
zNhFQ>IYoR*-#g(gbBwa+Nb0-EDPTuv@ZLH_d6eCOVE0IzUoi6nKbNnLTy{g4o-!Kx
z-kSM3RqZ=*;8eDp>L9-Lubl0qTYUBl)3D#g=|Q)FDKS&=kKn9>N>^-oDYS3nP<tN}
zgS3rq&l44G3}1F5K}R^bQM9XqYC|W(qN-x|zKx^y)I;m?<Mb$^k}pD;wZHK1bX%KG
z{*_gA74{CkFs_|EHpID5PyBFM<@0n8)Wq^ODmG|-L<bnId$!rji<qU8D;NV9IIr}~
zdyLBRh}hpv=@sj?2_DQ=<`ThEXg|A>;^J8hon=zDgZRO}=Z>aE!b1`i-dYuIH*07P
z{H!kA=2D5j<*ePt4CLM5Y%50b9`QE4Kc7lIY)*8tmVE0Hf3-YZJ(i(#m?I)=QE_pw
zkZ3$=O#5x$DaVi1F?pgz?w!NzSR|dx=idWM{Lt}`BXy&|%33g}q6IxWrhl9VENZwy
z&dwolRF#UhJmZupR$eg|;8Xg-YD}uVgfP^7L370`mV>%4v%WGe0Kaym`Zj+Pqi<uO
zI#C72QOZuYGT3}!S`aJD(*7l}y;?kl4(}^_zrDf?S`9-qZ?DdWDh+|yFFMZ~3@35&
zs27Gohk`}Ll&>dDM6w1bd|k-Yw=VUq7RSBG>YBbe<^Z+Bb}Iua=l8e2rngRJY=}3s
zVQr`##_1YHNUsVEwqL6MEc*yrJ~}SE^z8g(twT||*)lR;`l6baxiLW9V8MA!b^IAz
zoFgf`O8|f(v(p?mE*-{8M5w*o&B$g{+dI~2d~EXfR&=F^oevy_DP#ZT`3b)RC{BuQ
z6a?>B3k^(RA?(;si3m@-y@)g_9T7+Llva*=VQ5`_fS8jk*_fx?z+)Qu!o6hKR-71^
z>w`NZXk$z<r$WY*Giq#Y3rhU4>*t%Ks2XjTpo0SUk;0cOX%fR!^z4vWG{kY_b9l(h
z|4MFA6ldAwMuxLmy=RjNeBQbI05Wg+ne+H>XC?au8JNn&Ubmrh(nan4)T8oSK0k?n
z07nTIG`=AxGMsYyowqWD;b*&lsGC{qM|y2eJ5?SpA;!m@m5OO2R$9gOuF05a>4&a{
zw`Nt%{2IP>h`tQ+d_DOh&KLRTO~2o6fN&{8j@4eVyieC|p;T|Dzcd>a26P8f^16>M
zkM!f{RjA^wJ3S*<s`{8N=U_i@xhvnVX6`ej$L-$WR+^Wq$e<X-q&xusvc-q!fRQeL
zdX96aQ%qwlIWOhY_e+Zpm^Edx5C>-!OUZASC?e1e1|D3K@@{ZD6o!wS?~$UYsQ8YT
zmrEw<{d?zylb=78QLfes7vi?nR3A~KSrWDSFE6`&e9D*K>prxE883NZO^trY&22PM
z(ykpuoEnhI&3Wkgs#%d~o=2sWS$k0^A;Y#&k^UIYC`iL**(rZOG^5D%P_dy~!<$)q
zux8kgCbP*8+O4nw<VR`w&~qK^&sO7a94*KXa__4;5zdwBfsB{Sq^-<5{F_?dQ&k6^
z<uu2QZ9*++zwTeibu54=r9#D0>UX!JF}Gq6#tOZB&5pgBb9K;A&1qojbQQnE9rjnJ
z!yxaoDjp1x)WNWcRCoFxhR6C$>eX{<Yh}FRP1dJNd}2Gp>aNrM9$L1fcNFY{yUn!s
z?<qM0OofinSL;eJP#4TAUPyP)U26CGeA+LcnEil#$Mu_WIh*&otWb+7C>@0Fko?fl
zdQBMIIlEghZ(sX+^0K9;+SO3-fyW26RG^f8sdE4(YrKVMGCZn@a+$B%=*dWva(VCN
znGQ|4=q0dYzSy@Q_(_GfWA=1oaOY~p=R2px^cWOQOiM`_08QnPK3J&xPWhQfbV;p?
zRW6B%%wxau`Os1GzzYgX-ho1i>kbETOegcvt!7st#F?BH_)wf|IRgW3nI(@utI2or
zx2cT=G$c#86h;*=CFrOP)`C?6>D&dhR*dg*`h146D<$ic%--ECgp+Wb$G!?5HVa4@
zM>TO)nm49iIdNzf9GtdXDbA6+GW(#byFn7sxsF4n$A0!yZ%VIyy6HKv1`jI?+RLA;
zXHDPk3`n`zNUwL~)4rVc)EI!{0gYxX(B~gad2T#!ZJ|pXOAt<)c5N#@?OE|BA-z>A
zOgAzjg-2+7NN+`8YU$Cg*ce<xo!WW-^Ue!D{NlWaqB;V^ww2KZS5DP>Eg}SADRFF5
z?$+g=sPZ)HX$niwlK*-JL>=XMWLY-Rhs547j_XR^o$ic@D9!zbu#XFlaK{GO+hv(v
z0!@2qe5|VghKSW=Vxt*-9wB}pGvXsBQq;;Bx7aHn`fOG2w;xx)1=sSkXv6Z!<SQVk
zYhkauzQtI#NQsAQmj^F$_A9NDDHKHy#naPJNj2=1HElO+W#sme`J|P#J-P!QuYVP~
zoo&*kB_^tMl*aGA@Cz4#8M(@(K+55;`lPRlUf{>t(R{jw3j~X@cDJw@kuW)qBByWX
zMtIyI_ry5kpmrKBImF=Dt_h;k8Rh{>*=b0|Ia4<y1wvD1&T8R_OcNpV5Y6Sa^s4PR
z`a2eRvP5v*OrQF5Oy}8-ti6e8>P>~Htk}vb2YBYN;?IaA;O6{7DW`X^Vq)A|#LJj{
zZ(MtvtZ<kiUmf%UyrvKk5Q+eS8KQkDHrEIrieWqqnP2iu`vUHgjf1|^lCjFMF2`{q
z?IY4#2z8db+#DhWeVv;po_?Cy5NjoW32${b;t|#LG=AtrG<AVot7^5><$-pz41g<F
z@F4lFfVQOQK~h^k?olx2k&eLRk-q771ytj`1hQJ&ybh+O023|r1)7%YQf7MJnh~)Y
z03M)`c`kN-lU}IUPqL5li@_seeCvrI;EUVP!78XiLW9B?E=pNUbi}>7<vVL6tMlMB
zrao?P9ngJaya^uQ=sPsT?L7mF6^}kB?R;?|m>^)EQPQm)Ci76{Q=#T=iy3h}ATxK{
zd%Jtr&T(s2Ig^mDUrKb|-mk4pde#<1jJmxlX`;C2BcEfan*^fQo9+iFjrfo)hy;CS
zT#!&wJN(v@in3j;wl%T(G?bOv$DHTH*JAwDOXFvDtN>AQ^T?CIk`9dz^eo};FoY;Y
zRuIBoV(<X%j=%6ad4;w0dUZ{+h6Z@I$lSf;VRYJZZ?Cg#h3EC>ujw^Ije>ofpYzC?
zXIg)xXfo)fc8iuo9l736nN(%%QIOfNSD&lq^xu0wdAQ_oj@riOIn_2qz0kJ`oo?M9
zMz1L~Hc6tITm1ED<>A)FYmG3dI&($p3Ruwk{sGN>Vm6Kesv&?P?mt?(4q-gf=PMWY
z?z1m}dlx$2-CkV+v1<tkl?m4IzSN(0Ad-!tb1!0jM8s#*5SJuzdO4iT9<uxM#QK`j
zfIRtyA3$`qq6;IUpeDDGD=UXJownGRE^2?m*PW}_DBj2VRD-?*zD^!2addwemD$u=
z9ObsfN;2C6^Yo5Q`>9{?)-+fx!gA?zi{r@CV?Jjzsf5|R(XZ`8bPnP@_X|W+WPfI?
z4~zsQOYb9&$cj#Ny=_q&*B)LdceZu)37yd#&@$xvKP;1Nyc%>FBX!QXx!+mNE#l)Y
zm0oH10c*IVQ@n=r|E8;=0Th*Hg$UfVLkP!>FjM?11$fs^292#MfrzeWhe@IwnIsn$
zDGt~lTPPS-&E<cZqJ2a_9lCU1Sy4$KX~Qmc{jf!?(N6tUy2NPei`!d>s`_MHs47I-
zh&utW&f=Sp7{A%)0R$Lrxep#L{K!wxa)~s%w48Q~@U<3d#l^$-DDdj~04#K&lws!N
zoa+?qY&A?|maNh>0#RIHWF}aZvu9obWjp8hETe~YXgV*=Ul(<8>c22Nrf`O0!|tNS
zp*;CulJ10mu|F4=MRf^H+@l4tP6pa<48%J=C#VcEC(6`5)Jp}DD{x{Z@z@!Nle`+s
zXIdMTZey5}i}pG=5;=b;eC(`(S2z4HxyE2hJYU(`s-lL}BRo9IQ6*x0EQ#fr<~1Uu
z@SS8#{K1s7JW<3#y}dR*{SnhrH?z!8GPxyXD*H1!dx5cg_<F>XMwOU1cldjc^bo}Q
zDN4J)RgfTH`s<;(1`$56RT+BFQ7K8@V!ZE$(zlBA+v+5L5O}rrH5QI4k_V|*CfqYV
za1UIZpkEl<m14*>FJHaJc&X`J&dmjh*Jd#u)O3&QA~L~>^fRv#F8xF^e#;%Eq1^{p
ziy@AVVGQYCQD1c?N1dO4LojoK@MKc0{XXHLjfBrxyjz@ao*Q+Iyc~5o`N$<Eac{X}
zmfr0OxNkU|C3Oib_CIv0f<`M++&RlZBoOx8l|Av<<=w^^<W_o4g!-x%E6@XOs%y3d
zC+K0@B-GT(^9(CYCb1fBLz9PcetqWqyg6z@yszkQcqK{d7Fbo)jQi^ITq2Wpk)oZ(
zS`3Al=}M~?hhZ;T3ebtJqtXYOR9K)^uH!hw+J_~_i6${7mCEPB#0akNwRdnR6br$S
z0VB3Hj_7SrN;_EGK~pJ^TW4$uJ8G>K3Vfa(0onS{95ROKz3EaVw=p5C+h8%2`C6;u
zL->cpxHvIf>JM2e#j1s@rhn&$`Z_@|5%73QCp=E4nLdx%P{k^(53jWfc!HvTFf~R#
zba&a@p6?XhLlYDWp!twRx?XpedGHwT9&ilsV{E&TUP3gccdb0kkTY3sCcbfU=ucA%
zQ62bu^;FZ2KK@e83{tX!c!?IGB5<Q>)VZOUWkn9k4%5aiH~XovTn^1G?KJA&=aTp;
zqO}<TW!-AjW@!G(&iq>+7NNrNp})x8o!C-%&}ysaQBK&NxGK4fAGF*;MMPcWkOl>%
zI{t83YU(8z@r|z7Y4xa6@MB$l#ef7~>M=-9C|2L|LZ<@^QL^32Lnqr&$g4k`RT3Yp
z-OuhHbRLUaDSZpBOL}R0)P9Ezs$ALoL`UVDbm(NTsIzoc<c!X=RM_3}0HuUg>E7gb
z%;zLM%g%Vqh(2_HhHbA+N<1Du{=`<MPg$VxkFzN?-SLe?-OpJ$P|$DEVZ#=w|4v>U
z2LG|J`&PP3fyGSO$XjSmF}t?MK~3PP^-pM)lRGpoX}cR&-cj~5-3S!6jBW=5E4Sr1
z0R@#w$@8B8TCUe49EUk)6r`oY7*PX19QQaw^M)4I?E;$Bblj*~P6z1A9v90Rcj+3T
zfjMM28E${!{U4Ok-=IF-9Tg@q*9YX|dz{zU?ReL4Cfv_?z&p?+fbaX3zt-@_eck@`
zzW|OBKCWwFyKdj9oF50~RY%K*{KljaDf}5eo*<d3@TMv-$U@Dlem22+d4I7<mn7b@
zw;>2bbBFa!8(309^>WZ;ZP5f$2h9shrL`ILzI|+L_a8qsFV`e{EBDuaC9?gtVR@Mw
zFRF5vAAO+ah|@gY!b$NJWkuT<YCws@ilbB>#|nr+>;<o&wR(wG%-4Rwwq|cPFXYb(
ziiI|;;vV~CwJLH+66U8B2<q=-xK5RJ^7XeEa`;uT%O(>G`qjlzZ4B859h%depSoyt
zN057Jv?hp`j@b_w8M2osxcKxBNCZ);X4YEzFI%#MaxYut!mP?6saL>XTgN&fjHU)v
zGhreggGMoQSziKQM&iAE88ex1J*{cugcol1Va?a`c(p@jQmRix31$A1wd1_m_lEby
z^+HegO31ZY*a-=n9`A&~@VFz4nlesd+C1c=(lqJc0uA%YN2n}*euPShcYBq*;LTg;
zsVC^6!DwJ~^t&umgSeR<EHmit>gfB~2w(K-3?mjE9^N>K%c96CEJdF5m|TDjH+MGS
zDJX@bf9Q~il-oKDr@4VTLBjidT$00K^Fv;ILUO+ljwm(-j66)X_gjC~z}*7`XEbE?
z{^9+_lZ*ahF_c;V6ETf8#jPi#t>5@#hTmOZOuXMGULET*nJAg!ixqdWxJK<!5si6T
zA73V)lK%2ngh7}PiKB2bsF8zIBFe(~o55pZoeS>9{&i|i5{-k|y`qYhIk;G$reH?f
ziOr->Yu?)0KdQ`R$`Vw%ccsc&TsN9c;&Cq&N;F4_VLW3gSz6@|F&oF3PpTU$_bk5k
zGL>48Ei_tct+w$Iw3-!2>>X{2J98`0{MDuW*wfH9`DoC@ZXqNQPo85H0Q<8-RZ|8u
zvKm)vQK9zj)ACqZ9{S={=}mEiq&^ag!7L_oZ6ZtUgXL_3t4y9eYYDw-$)yC((3E~U
z^R<Uk$!g8nT$5ixOgzB+SYPRt)$F&}t5OTFCOu&?k^T<jy~FgSI$msH>}KX9u~J<G
zb6z_ZMn|DfUE<sf7?eXQkCn%LwW;}(!tC=RB-{-X`@p-;=7@#1)gxWMa(S;is|AnW
z)2>*M0&0AjH@_V&wJ>9ixSo-^>G^+0rVd@hsvb*AQ5kz1u=%q38^@CUAfvZvWn?6p
zk%U=_-5Vi*)N`ULr|Fn50dpNaz%YBecEOr*QV0(aYAwo|^i|Z<cp?B(Pzp<C$&E(m
zbF*V7GR@e0jm1T&Q_!4+ot>#PP!7lIdM%{X9teXghxEqf@Ek=Fs|}je><*O@v;Emh
zV5-(2wqM&U@>3-PVHb9fTBN1y=wtnWs)wosO2=m(%%^ujIbuMQ$<PsXI^x#`osJMm
zhsSKA`R*%?cmE$vXTjFi7OiXC-HS_$7S{$X?(Qzdy;yOF;-$Dd!QCxLf#U97B)AhC
zZuU9n{sNwmtTo2`<ed@ER+xSv(@paqCBvoa9h`Lu<>~*|nhg#@A)h;A12oJD$SccV
zjopA(TMs8dY?m>$cDTsRUlKSkdj?)wp1hx2AiOn3<O@giq^qf~j~xDd@A^+3D{eK9
zg>hX6+ZSbO)sv@}-pCseM-67kX`}9)9UznK!{w)v-YZWg%cW!4yvgpAr&ggTw$u0W
z=-2N%O1Hbe89Y+ueJNJ1q>sTua<xs(&(YV1V}ty2$@{epL7&3_{un;Xl^-m8^95T>
z^ZGMI<Lp{3%t}C73K$ja#6%5~V`$tL-P)Tf^ZR=2Man9;gjLk5fI-voQ8J^4FTckx
zCeWQfj+*>au=i$qet!DnmAClwHO26-`~H&L+RVkp99R6g(_hc?d7W_P>B{gTup4N?
zCk#qv0Npr0jHikANd#USgWE{XJR&;IJTeD8Yw^b*^bgaBjsbhjL|<1@R0^|9F%Etg
z{LL7SOBg9~15YBHaiAEPz8&7?-9hVtdMp1m;GIFQ{~;Fq?>A)1;OWC~PBBP0dgUXx
z*e_#=3u-Pv@5UJ#{Vy|dlR`I&`(Bu&+NBvx*Zr-TkoP8^J3F6??t6#N)Q9~vNE~wE
zqRn4Jkyd8SYTCUnj0utZ2(i9$po(l!_li^6#6V?)aYYEa#9!z$-xo`G7GWY_`T`9q
z9)9!)HyvlHYqb28)kbsKyEInaesepLb0iA%{DjgL;ch3^O1Y7{DC9}95g^X6^mOs1
zML6zw<>w85KAB8w5f#SV-{%zwRg=(?V6Fb53NQxCQ7R{MzL4`ZYc|;cNngm9x6(0O
z0&#S9Q?=`p(SHL2_A9j?0+xdZGsVJVK$dD%*&l}3l_o(~MA)4oF&=cXF?B%xir#0G
zEB}X?s}VWg!=MA}V}s1jH+vTHO0fx^i^%egstj|qFm*lrz2r@HUGe%7gTMl+G!Zcq
zwzjBBh^m#Ha3!kMa<pQdn2$aMpc*{pzA;V3R78;U!-FOzoCFBrs@t#{_B1`=J_@GO
znKPmzx&~aKe%f8g{c)M%K}o0Sw)t^Y=QtPXrr~``azl@L;Y}Mt=Po=$-Qzqak5=t`
znM>O4$ehLXwo~2JhkI)HWXachIG}tTiG%r&`>95NG02wULggOpGw}4@fy~8D)Nf5S
z3e=9LC4Hbvv!JBT=4s!=@hLd9k~oYIS_?F{eyd-wL0pS2L<Sk}v@Qh)DO`Abr(Hft
zcQU;-wjNwuKKFqB2c!GjXpfa-<2W_M3cpqwwANrDbpdYLt~k*H?>D?gML+yAg`mLV
z__^8shyB2M%J6KlTadR6KMIAR{?@r2f}YGFL;T$?k%lt<l|dz<JV@{>_1$^rMF&Ib
zkhsA~40})h!9;gOB@|7;vr`u=><iJ|-@c^uYf|Auxr)G|uq%-;MZ6hKWi?=yc`h9?
zgs!2eBAfY`$j2L<{Qi&?>oAf2al$bCuQLg1MbiIqQ#7;Ru$O!H)Up7SK8FRjP&xu5
z!wVqc<_W58tra@8?I4BJ^5d)qUj+v?DrI#skJ%t2c;x`v(M=u3_vlMe#&vr_&)=O0
zH{3J@b4}#jPjDUQ^YlhQU(RtMmfG7Kn^c=jF_+-t50zdsC-`ofxAvgwqOT>u$}Uf3
zFKcZNY)Xbpxm1(u0@#AG&u6^eGCs8NdfNT}b3D<sMBrn)h17UoY<CN_-IZuZ<fV!#
ziq@6RY!>FsxAX<`6i<A*1?$%m{Z3)}3jdTmDK=p;e2{dqOss;w*|b=dC}l*3UGkU}
zP-l6ud`VrQ71}J6uI-RB4&?O}rCi}kxjMK5DFcI9r%E5QKm~XM47lS$jS3V2Dke8*
z-GV1v21<c7&)KB&4idcTT(<wvHvM#9N|vH~W@Q+tdJkd{t5OzHefYklV%fUInJ<?2
zp#W;ua&AY~vx=-K3%|uYZ9M*Qx)=`NcUZfT3-p-H3foqH8?j%h)-3R1SFzLsM`{*%
z7$2xHuS}@l7DYV;OajHOvx5`rw3nV5S(zwEi1g=ZiJb1<2kj4*vzJ)k6hkiURzj^}
z`N!#p=J!9m|4`w)>B=no0Tgz8H4xb{m(_bO6&CKhu=>13dDA^fHDnCd+C0ICJu+r^
zg1-G!rRHCt>(xTlkrq3TZ*&rsE5MxN`_tR^-J-GGCP`q#2W4d*L<@RRo3M;92syL~
zVMXA$(Xrr}fKQl%K=n;PjSI(?wMy*hXXHp3QS?p^v?(iJG{zH0{^fh|CjtpdoAeSO
zurf)&6<gewhQtkUMJ4Rh^oii+U@ufgze!a{(Zo!k8*h&wwxEkB`si9f4bRc@<}1>c
z<un`j5%lZ^WCy*>#?tO_qdr8Nj!XU##%PqbLH@_HxM3#nbKC;>nBV2USxL53pT}MR
zTE1V}W$-Fcj^ko|6L>|$eq#vGJ!2r?emsQq`d!~0ksbC-5gR<3WMxYz=@~eDMsSvU
zq3k`|9Pu;BY6+$v--Ifp8wqw-N9h!#zIpijGscZ)N*k6QRz#@(OBkuf3F1C){!AW<
z|E7JK^aZEcG*F)U1<9}Vfs-iOQRkkeMcHB}p_A-q$A^h>xg0D_x-UtdbqD<sIWf9F
zcjq{e;U8iua%RG!qwkq>r=M)KKn!3OwYSD=^wu(;OR5(;-s-t1&-&E)p)Nwrrogn6
z(no4q=L_l4ik0Zh#dBHTmB_`?u6<3_!|8@Pd1=b@`U74-IkJ5q2d0g8YM$w75D`#c
z@!b?(LrE^VV*HeJ!A{0|J(smpr=Dq#FUP^?q?msYn-MD2S6t4%ZccdfyMpG_XKi0=
zq;3a8I?G)^7Xx;VM59eL!}|0kP3|WjE0ShnPnJh|{-7~(vu3Gl*iF~67^{D|-bNn@
z?*+P^K@3%pmRgfvi>mL&5GR_39Jta`W<p+5&b8ipuJd#7kj}=i=`?~qXMNxv?^g1T
zIm*M_n%k=C^Say4d&r^7P||VEKl*Ypok`)QX&XqscKvcR{ua~X>YK*pX&fBvoNIL{
zw6O<Ju?O;d4!8WOXT35vsFZG5IQ9_&-VewDYKi#`{oD#zr^2gi+-O*v*({3}3;+G5
z<qgzGvRBJO@?T!k$Ana;O0+*h?wu>Yx59vug2k(E4lMP-!B=x9++7~=uKj>5yhVU>
z|B0Uo`C>b9J=Y7iHDnIy=HP;JaT^fL?>}UmzC`Ev9EGS;HKJEHZZHD*ke!#;D6DI0
zl*c>x;2jKxp}9!Cl0<j<$b2n~?Z_G$gbBx$>+JW3NEAWO)~ruUQqX#}p*-uX(a)8!
z^~zw&A2Iw|{$61Dp5O-7tWOraL2+lykZ=#Etm=+2FtS`Zd7--Suv>!wKIeanw)Wk4
zQeF6mr_OO;<%!%U$Jj^0^HUM}jLvm>?6wLZLsLRBczx^BA8o9^qBE1&o|T$<7ed7d
z>$y@T$Es{^YJ#!RQFW`RmRP@CAy_<83#Yx<r4R`q%yfpzO$bpIbnkIhZj{x40gegQ
zUiB~OsT6M2E~|@;q^*G@kx%9<onIv$(53Ko4bTHI?Mv0Id@7!B^{3(=LuY;h-wM6I
z2r@QGZ@)aScD|35+-^CiX`E&9Cc8MCLAoEXO3Oy#K&oS>iu!}EaD$EA6(K~g3ziEN
zTF1=q|I^*1Mv;u{^<300(<&<9T2oL^X4q6lEDm5*F1F}cpUPUJY!O=S3TS-5dh$MM
zB)@pIJY4YOG2+{{UsbP5Zl2t<dN;afrio;0vl(mUv0OlRH&3vB;IHhCr$-sze0>(m
zY`qdB1U_z;wiQoveVRv1-FuV0c=4ALvwj4a2rPjX1EeiFM5|X<I#<dy>F!KYe<9Ml
zzh>stEQ{q|-ABA@?7&tl7iswR^y*uQ?4aTuIFV23D=*DK)WI)Gc3!2OGCrb*Z%r>W
z$14vAWbybqBFY168&yC4iQb-oKned6l;e(e==jU9)d5%QJr@<*UJ66A@2p)3=O5aG
zcr!^)zWE&A)11PYRd`@;eFNSGB=SzK>bs&iY&8DvF?L6OO}wE=bCw_Wq8eVcBYraL
z@;j0AafVp>^-if9c>5P2)_TK2AOMq(OM_W~B}eveGRUnx;&C#d0|ur(T}JY}9KH~{
z(gkb|6|Wni?zv2$u>(KSpy%mMOc`G-w$gpVbwJS2tG}pMi`l;%boOgQoBYPgN;kIb
z4X_@dZr}Se!P-#&_^^#8xZdvp23<5=+vz<nH~qAcUM=zK8_R8vC*sJC(rVuc`D>83
z)9uN6Je9!7-G?K<*2Kw6_e$3!fATv38&zB2Lo^@$#Fwos?xcI04AvEgM8sLd<*Wvn
zF}X`#$gtUGoUw1i4=+_gqQk-`0>tQg@H6pS%Ttpm2OA+&mD$cz=xf4Xk-GkDH$Peg
znEHr*M=+;ye6hJ;`Jp?=?rTqZfqF2=<17W;?Vrv(`cDja&a{G3&OH=AWz_{K)+vsl
zE*dWwqIfq&6*`H&C?V3N!vS6mzm75C*y0a}9ZmkQ_RT(Wx_2?W_=s{(-Gp`vCUE&O
zwo6IMQ^1%l^y^z_w!fR5)lo<GRR?*P6FnlA8LyJ?#7kzv2V&)A%q^Eux!h&iUr-Zu
zv2L3=Sygc<GmFajEyr*Cx`V=((3zD0KEdw|?>}oXaE04~_kMawcI{+uxiF1e`u}^P
z{a;O8YwqbV$uCR*hZZH>gk|eAjx}|tZtgv|$@=c*_ts@5F`R(t@DC2=f9A`qfa+9M
zkfp7fxcEW^WIs#%Xc|#PLUw^mjf!D?Tj~j9v$-Ro^RGE%lwZ9t@+79Qm|4!&J9CK|
zd$BY_d4WEB!t3TM<uf>+#3cW`OqkR!E?EIu)`Z>PV5uIVZWhpMF6ppkr!lz~^?rn@
z=YDEHaNTUcRWMJw^~)BUyFAmKWy*M_SMVlPQc{<Y26-fXaq>{n=5FVfLK^ndB9y1b
zlWv7&<H{Byzk8OynAT~&PU9<JB(#mcrduZN`sO@3npQ>H#KA`puh9B3WR)I#VC%Rh
zgo$iW2}=Xl({4%}T|jcs4~lF5)xYXbjWQj7^i&7kDc0u~YPa#+u1&y>@Qb)?0jBv&
z*2O1Xe2d=iD$L(<kWYU!q5A6TqM4YFHmyoAT3z4O(KF_C9SaA~;(W{ScG#hv>>M?q
z|E2o*)7VL9)$Jvwmfve9ADh+{{cN{H;e|)VKaxU~9+M%2V>5kyQfL7;JK*inx^e+q
z_!ehp?~m9);w3OV>7!D}d!;U}BD+$Eh3~@|nzRShUs1p+u{_YpC#TI`wS=bpy{Z>%
z&&znPeeN0*(AGyKP{2Ix^C|fO54hYDvO5>7)4C_$9ao!XzCuf9|EIr)h#}JC`(f3m
z#6x(A%09U9E9T>#IcfE$LG&c_o^3dlCcF~^^q-pYu&eXZL`xCWG_*yP8W-chasEc6
z^T%+<bMyA*0u^&PxBSl?-|?~^1BEWWFFs@_`Dao95i9{y-}%t9>kgHPs4d-Ix=(j2
z*}qON0zW(l8rc%#IgFafUcCBq+DBHGXzO*Stk5-0aOp`Lma)B;CLFvdG~RXERnvnI
zWd7XpI;*x04VNv$8)Qp0>c(KWi@D`}*dK4c`2Ol|t9itf`sg6?cqF<sjYl*(KVkD%
z-z9-tIg;h;YC0wMv|uBfn$Y-r>cN|0-XtiPv~GlUTwKRFPl2U%GT$ESX#}sAMs)m+
zGIKfUwcAK`V0EKdw@VZ(K6LF&NoA9bBh2T`f$8MWN3r6a-LdrEJaVie<KAVk(I0ka
zu$US$C4l{YviSo6)7F>Qzy6Xh1*>sIOR%(|MT^f~Yh$9zt;_;KQ#I%bkIt^oxMeS#
z8QaA3=uUCfb#PGIyv$$e7+AZ2N)%tE)#w%2b3I0MF61!)fgj=<?uGQ^b<Sk?zmKhk
zSXVG#ycO`~5$KPnI(|xJD)~a}d1Lr6ZpkKQa3YzD?kso!w>Tu@#$LiJ2v&Wrg1rTI
zu)8mb8yk?)&nDL1d@4D4VWK?IYU$`7oYMa398z=R*fmM)v-CLAHJMfEVZ7#_b8+Ay
zBG_}Xz5)sBp#tPJPiH=M{2J?jWySZuhjLw+IpI*5NZ@m!6sis-jut4t0&vzecL)`$
zFS*OZ>W)gYx<t2qK0}ExGM65NEFrtzN!z+0s9(S*YAhQm@oqK{@%XsRHKyHCH>W~O
z{tWNT`XKIGP!FD8o!iHPA`}hMR0E(G&C$RN<p*dBnd#Tfcbf|+#ZoQjy!>WB=q6c1
zd8YL^dI0W{AIg(7=vs%C0iuE)zw74S$s7I85Behjj-%bz8nWUJ$b<Qr1f%hLZW%b|
zF&cIz<B9S*Q7H5I-3*=YRnp6EYaI_I|Ki=@A&T;YzX1A3Lz$eTfL|C=w~;T2c)e}q
zrnsm6nDV*V@8u?CmFC2N#{`YfqGlWnp-4oGoh`4s4F5!OeVh01G3cXDJU^?32sL?g
z*bDj#fstyygbg8)AQrTf1s3~Dd85Tp#wF|q@M_*ehkU6#%~_t3Xk*KmeHCj`)xRP3
zwp^>4s}^7IrpN759(X#mXp!-ACof>Nwnb=>&lmbvQ&g%w_PDu2u&ZAR4WX-3_|ir8
zR8J$3uHWKmw&UZP_+ILZWfR-fu#B}(#h6iQ%gO`d((E5gsB%LDV7tc`5)r-oL75~x
z>imIATs87p!$+ugl-EksSkvyG9cQ#f@9kV_uJ%$bJz2b<-)q9RTtNMVt0_8_=i@1h
z;@o6+R@GhpuC!OrTqb%Rat6AQ(Lw)Gj5F}4a!aks1xB)~tbge-7G?2K2n@)ZI`NCr
zSE<(rU-h?(KU_z`N(oe1%tcDx)a)5xp`*f~28s2f4NZzXJNUd@4UgQK+}$miX#58~
zEGvpvS6;fgxk-84gW4yD`~+U>u94sQF4Ax;5yCiKzSmA5fG2Yl(u{q|XGudJ>9TJ?
zQ1>GYpO$9N8;aj^1d2)PIkpp!aa+aCPR=qY|8ohVk%*XHuD8%KaWUU(bKOmDG~A%R
zb)C-tdfcLtCo)Rj*w&`I5sE!pgu!!Gs+b`TRUANU$3DV)za$(&>Y-^3<!0MIKXH#g
zjzi%N(@;oE0fN(#u`lb_P>y8j40|a&y>patE9;k5|D6SK!zQ-c^^-KT|Emi8iwRo%
z6$1aJdMh)D-1Ot-8=zrK$zAn?CB>F_oJgk83fWJ^pW~T1Mv6voj%s0_=y=hFhqrto
zj%)UqsZruvZ`99A9V@`1%nRS5$aP{Q-|3qS>QHpdy`DH{G5adl;3(4YTLB7Cd~)sf
z%bjHb;S2r3n8W$8st5rUH%0vW`|4#b9)|e#B5-A9+>HYLZ-Z6~h(DkV3)x2RLab6(
zXA$dU*|f|f0cJGhxFP9foTt-!<1?SzY$SP^qU%$wW%pY&_mIWtHNW^`1JH)0d5lsv
zvbi%pbKz{zs+pp?UTUW*HkHQv4;MW7uKj9@bvTy(lBt0HO%vzTT;|S%MvQA%u(oA7
z`kW4k%FOY6Ww&LLu9rRF#7}E{sa-HS<)h~U{HabXs|(!2?T!6@NX+v4vUI?7gT>qL
zoPd!9UTD}Uit`$kg(P%(_pEh`9z{`c_|)Yg{=t;T{ZO^z(JD`4#?*U2$$p_C<sWKr
zEIkV75;>0HL13=QVTG%NmoMPuN62(}g9fxXdz2_cNrO_vvqK$<&ekTjwOWINBXT#d
zv6%KXcHs*+Tf(_}|5ZF@T%aDWw038<`+ida3L-2h(L#!Awut{Sgl%x?3#C>brkMoL
zpfH3pi^5g5o)^6PHCA2oYwG`BZv%%A&ffYtx_YOMDEZO+jK&54eHlnUnT=>TT;Ji`
zIlIP>!hke(-`hhWXIp(hc}PJe(tB?|S6*-bB%+8;QjVJ07V+sCuBUMhXKU|sBJ#Z+
z?-&~ieBKB9O)aRggWMz(sWjmyo{?d{1-zYq;>$CF*EbHTf<-Njq2FgVk+f1g9k8)@
zjn$66dNOibc}egm3(uc>7Ak5&gtt`q{=nrn7U@mQ!g`LxYoM#OcMb`(Mh&y*0+%l^
zV!?osG90VRWDmq?^5omHRK{WnrMf14uK~`+{!89fE(u@qJgV*pQKd3P@itMjb^iNu
zen7t*_^xT$kUY+G)d*j>9jNCe>D=>Jnipm9IpSne@ZzHl@QV_fQbBqR__(sR6zYX5
zZ)rcVG}Ud7Q=Tm<KW>m>nwaMKLq1UWHyIhd2fjb&;YGYcxw%e*nubtcnu&kuwd@8O
zZkvN*O=XBp{5a3nz=A8&m<D_QF?Hb==}_yx<{J$t9&dE8v9A15LFYe>$DBg|&o&r@
zcu~h5><ZjcDkaqM;Pf;0mnyeAeCH9)uKLXofkHliAOuKmW{nnpevoW0s>VN~E&q2|
z<E6^(x!9Ejf)N!xTb7Mhmsba1Ui|ptVQ#(RF_+aCwSbqIdqdB<{-Pl1SD}7DAcA=M
zR3NI#Y)`FZ^opmX_h_eeY&`zl5UND5^>8B;V69-8G|ZhGrMrgY|LA?qVD#ldP=T?<
zX~`k8`;AV&<;*MhM#p8d(R?%2g`~9JDy!7=LLQ(ZuteBC_wZ*(Oa1{7{Fdo?Rqh5|
zStt8{0RYhx$MT1bk0NmZmI9tSppA98XZjSfDynjN47V+}iY9)%_ff$aTXUGXfTjCp
z#FVarHC(H3!tm>}K<i@8>-Hj8AGH)lQ>J4lJ=JiHPi5&w=yfd<sH5N0&y&z#tdu>F
zhrX$=Fs^}6<bbjn+&@F))}V9ZM_+pr9Pg29Zvws=np&w5yHBjTvEfA3Z2gnQ4rlw~
zX!+w_x?;9GrnLgTXS5X&dQhbOH66kU;{m1F;we7n`a|^gO&oTmwYS`99_~7zg=$pg
ztD;Xf;u(8Fj<}g>P~|}5;P<r4=vZS`_>TLa(?&<Rr=i;fFMVZOWR4>?P~7^xrt4b1
zKNyyyz#XuP41%(wXYo~pzH&Ib;~hsvkpB?-(dJP(B?E`05oCJ`joB&C$;3BB15RXe
zp{Z4t7kZUkhyA(W(^Ch)!**y2Of{5B4bV3#Is(Og4cRoUf@T}`7Zxjb{p*G+ShkD;
zsXd$wlO_PsWk+!!X@9hDRjc^1Dn9af&Gv>dL{Tv8B#LGw3nMo2IvCfKwv^hilgVSG
zSi1qII8G3>sik}?GG@kAEw%%xE2!D7pHrq){)lJ1hh9{ML9e)7pLX>#?Dr!<=ShU0
z3PnSt-k|;x)gOjKe~S&BVKF;-K=T+t(xY4MY;pk?PJe22y?|%vwD*V22f@KeQ;hkJ
zH`wI9{`?LHZPd)hD|{c1p%1COCH8b%zG0)P@$bB~Yf}}h{G!8Xg7DL&u;DkHh#|$I
zi(OWNA7L!5YXTL%ctu{Ypp2N(w|Ba5E9qTzM9bukirZLF+S4t_Irm#tcI)=)4NUQ;
zt}MQ>PHMLfev-N!zlc<ygy<cMur6%1rs++7FdlYeB_g%Z%cxG)t33b-@L$Rp=O8bg
zD`Cf+2q{^*?exF)F!)+#qHFo&ETKE+SYVy9^u9}mcKX()oCl`M5nW&SUO}R5Ndv`-
z^v{+x-P9b8ohc3S6E3!5MY@|>?beib)BX!+#3~8y_DVqjmdLz2h!#OG%G+lBKQ*Y$
zN>PT-*IFDk^vzfeT8cf-R@IW|l|l+VRxHzS-$HP+|3*H+q3jTozivUPO8=Q*`fV-+
zT<@Xzr6!;N*DGH_<u$V*n@p~bJN$#F0u=g0991Z{TIJ3eN_sl3gMT2Hn}on$l|iHb
z{!p;yXq7wUbfw9(5AJxj1pV%OW9|B$2yLszs1w@1OG=)`1;+M&#1E_Q6F{a#iL9XO
zOMsSg@poxS#zt>NMEJmjSLijs*?!-HudIjVNrD<l9lVUM(Ntx19|Ig6N!PY^<)fIC
zLD9)Vn&h^LXd`)vsZwbeKk_<wgnsuJeJ2)t3Mdm_RU>4kSU>ozz^JX-mh)!#UJCf)
z2zhd@6u&RVwiKgY#&46h6NWG>L}@!e&uL3s&|6gbru!{e!p4+(lQI04A+@xA+C)_U
zJ$k|0sxcs;D>(aXh7-_aZkvi^{UqbjW8$S}^ltc^=mGLvGMN|N)%_IqVRHxV$#SJp
zn-uOx3*p%oSt@E#wJC;k{@Gl~Okzdc0KiZl#C8LiS<;$6;N0j8<QH6<vfk0dChYEX
zNrIlAB|{bSO0ytYrDMY<t6jz_ZzQ)V*JP1^1Lxe{OdpN@3O34{`2nD+9W+otNEKmv
zzuV-wlqW<SUwPTC>ap~wdOY9TIq5b0Bj?1GHO*e0$T@e@I_rWiN_$<ZsS0k>OTVr`
z9t>Qj`6xOSXbPJ#%&^BwjL~0KY<y&ltaoDR<IfwRR<+)k3^oR?3+luZrf!i*d~ruB
z4Zz9Xt}SGOV*mdONWC$4u-4a5`G<0#2hQO5)qMT6FI3HiXFP34#$g)t6jPkN7e@gH
z1OXBzDc7@mGFmfKqN6Fcblpg23wrRP2QzEqsG6>>Tb2tejxpnt1Gm$hMw{gB>nWXW
zYD5khJUV}jVLObvB`K@xq=P=f{ihq(oc=K=J4Ly5^lTX16HR(*G$~Gjw&g4M;cQ0}
zUnzBPkeUJE$``N9)vKH-Z~FJJ_Fs8RAa~gHVO5Mxzf{Z|5HLg40c8uHnmC;~&)AuY
z2UblKkXwXQ7}RzFXQ*$Z|Gvt2^+c*C&FUI-1g-Lt{0*r@uCnVfu_HFuLsdiKYur82
zS_=fW=t&SnDm|jxPC(R~x#J%_N8tTn`Zz~hPtwm-G+xJ39ReN*PcprAb@{{M58bhq
z^shcD>AI*SvoiYDU$n(RBX`Q@SL6w1$b2j>+0Dc14;Ft=096Ck>j|Alk%I|WH|FgC
zfdWdwWzpg@siu!!Xwck9=;Yz6XeG^r-F-v<WDuW848;0zFBiKJr~a3VsaRzP{O2Xu
zY18L_d287Vh+SLSb*u7%WzEjH@r(mP;Ycl|jZZy_pjw{{#AxsJA%Z8j31I9_DD+q3
zF&_TD+pa23;msC%?9M+G4*VxVOlu6Tl3Oe2<Jf4P_1IkONFWR#8sLDJ@j~sI4E%Wo
zz;2YQA4%1Y`7}ZJ(xdTiTB}+WD;&bNd5dWI4KM!z99RY9TgmXVk>l!qiE$Q2{%dSD
zgPb;OjJ*2egqSfrW@jK$N7rOm&ou=vb`YO&=fCSaj1lZUGF;8v@uD!uZoaOVuQpDB
z^TLwK<e(_HGxh`GwO54Z%^KF@%Y%<O+Kx>5DF)ZJpsNp@EOg;qcE!w;(}0uZs`!6#
zU6tQ&UJ;x+oa&a_?DMvM@suZ(`b|5Gv1^v*tng|uRi<8`t0egxz3{G{_$*g<QAtF(
zNSRvX8tn_SZ-B{Mo;S(gLS7S0+My;9^eP?d?DLk;aC<UOw(q<pedTU1(khS7Efu$?
znP<Ab`S@p68rhhgsrms8E)Du~9TZGSyo!sb>A-RK$@BX{E~Y2D9e+a*=gb2e)St;*
zI_dApnPuV+By=1z8Tc~ZZV<}9Bf_xRJV&NZ!KVawwlU?Fs1k`Tec7!oScFP=#pErp
zgGowSeSE(sl6+}sWG?tY<=&P!OW1MT0QVRFiyCkBQsOa?fA=m~BFn4RWl*sdeU*>(
z!~^V+HuAWH!;X}*=Yts@WnX}kSkBZ;a?&y1*0Qv-In?!7Rnnfu-yY{cV#Bv{i+iAf
zqi?REubQq<R-~j&ML9;=WWPnUs*_y1e74-UiJe!KS)G#5`TDtw1NBVKI#=q`Gh@QU
zv{*S4Z~MmCLsKUaIVcUhhR1etkxQfN+tTo8=+xu9i`Ii_-wdR07Hn|-edgeEK85XF
zfxjR-v3=fwKIBqJSH|j`4mF#diM9q$OqtG>J2PILsx?>5IF`D-52+@rj^A#L*&C=q
zKzn^XI>B$)K$gcTxi5lN(|akkf<<F~qQYPg1r9!o2{OKb|HLV(w2dk81mAh*?VpfV
zyf;PCm7T5IiGMN={L?)|<3d*$>=UnX^woa9BbqzawA^gg$WQ|5DHhMIK9OYQ-jHUE
zW2wto-+E7sn}-JnZV@p|pL&?+yVj#^|3YSfrny2lbNq1~{~8=BqWu85pHMZ$fo<Uz
z&BLY{h;G~=9jNY#X)^QWm3BF|cQr|@hzcpDpHJKCeuBm2UJk^o7QL&k&;@j1@c=yA
z9wI;5OqdS_zVR8b5&!do{kMhl4;%4M05K|vQ~9i7KEm(iGw9;qechj{p8lS5#yEdm
zB4XS#@I5b|CH>9xZyvU>ix1IN*CXUhf5;-YzVb1Y>aQa$9u{})8;eX%%FIU0J2>IL
z+lm{FZqa}`+h5L)9rnEkDGR0T(7JCMb*Nhk+_!L#jAg(wYxVaw3)D#fzUsk?_Q57U
z3Cd2gtL_+D6&~Llhm{kU4z47Wp;3$i4k%=c7|t5oR<1Vhr18Ux>x?$(-CiDA*o;5v
z+>*{+(SpJKY@4(8bd0sTB`oZFTk7oiLg(Ra8hCot@M3IvsuiO!pt>tQw3V3Pipf}n
zhA4pJ?QR6m$Nzi$r+)&0HY`tDE1Q^J;LgCJlB_N=^SWW;94&0B3cHT;q`}+Mgi4#4
zPzi61QFfS;<eNM*fNajizw0dj{b~f%KLo*0M`|za;hA-gWP%(k1*GSP{MvP^7k`ab
zzwLH(o*1K*3JoJj3X|oTvfQ6G;WlOSlMcJL$4Ps38QGHB1av+~$v=~?wtERXE1Iau
z;rz{+0qY%4VC^Z5TEmV(C89YD525bJh$dkj+loV>gHp$XRsN%D5Zk<5&64qi%$y~B
z4}J3&y=SQEd1T!Dbs>Y;@iDcu$|qQ5**Ai8(V?~|rS5P8G*#qH25S7b9SBZ$@|xbE
zaI$8F*?I}b0UHouytM7vW~s8Xmhk0lg5^k;uW8BXi6msG4He(=x=(@<3Rj;P;(mvP
z-HHW$bPvJ#wHbq=o4ZUnra{H{R5b;hVq4CAI_*)(GpfH2nf>fu?1hpeCQI`R?dVPr
zJh{1&v9dC8Zk6Ql+wFR7yc)duoR_iDZmrDe?#ArvI%}A|{2I{AnjtAH7>A(E>#|ko
zqE&Y^N?JR3Bcm_&iLkxy<!=l}^SvRDJ?#!!e$ZYU>DhVr1eAO*@(u3p@{dtj-w%dN
z$JaangZw(DPyJ<%wr(ocR5b|_@uvxi7pK`Br86vWP0&=!7Ht@3GQ)SCy!jX2%h?Lo
zLW+#V4URoGkAT8o?=)}_#1^tSaFI&`c39#T8D?VYcu4pCz~U{Hq^*<|O;_`d_`}*S
z_I!=V;EJpme5uau7>d^ZJxZ^Ed}W<-xYcOpN|+!;&SuT{17FGg1?#549|>CU&5ogP
z8c#h9GJ9|#JVzsb-~FGEFWp9yFlqf(GuvTmNK|QRW>}B5Ru!$kjvC6ctiy5tHV!N6
zHHO2_)UmaMou&_1*-4xCPSh*O_WFYMc9!_3v{1iKwuNPBkEKH1vfig^`m(C5Wihbv
zCeMWg{^Lu@mRrY{S;P2()NQW$Z?yV3Pd(E_*{k+!#;iSXTU;3Abu_R3%Zbe}2eG<8
z*<nJ$7Bc`g!ub1T9-pEXW!S$o#6Y&kVhH9J4Y0{(rwL_Q(TI37iR0aK-loD&l69BD
z9i2wh9!$qRxoqUC(4ZiqyT?ZX5F~d4<(CTi((#u<q!{U!swvVQ7V?DL@;XEE-0s`o
z^gZuH7;Z)|-SaN`p1WWXW8ebuOz(V1s9dP}iH#PmVSBA%1zs34#d@MAK8vSZA*)Uk
zMEp*BJp6Gb{d#orPAg_j0QrYb^?(`fU{s5Ic%R#>)Ebz7BmIJ7>5ou%LmzZ_1QSXe
zO)KVTxbdKwc~91RzQS0hps_j~sB^&KL?s_YTkX$a^H6mZ*AEI^?4Xw~5#q%%IW=&l
zy6LBXxG|+H^UV=jKlxncTT8b#$HiP>f5|_n(^|L%+3!0|@RZQcy*4_6CIxNRPxAXi
zK5m}Kel!$qFdg?8Z$qY=uE4$Iwkc@(3iA04_u1nL_iS4t?ox3PI|e(r^(_-&?sG^J
z-`gS;a<yvgDsuB(=zYxz^2V>Fb*f8bDyH78r~LhdRU7^5rE!*CRiNYW(U6p>!%H<_
zCzU*hk2mdOH<EYRN)xNZ%IVXSUf}Q2+uq2pnEPpz5+F8vRhV1m*r@l;QfWE)0^Ok_
ziZ)ku$^&sVM#%ObN4q_MBaqsUx|5QhD6uTD#pPmdmAQ4c$3|UBl1#mbotpWA%p><f
zRbQdF-F<i3d1qwHw`fGCv@DbRn(UCuKd~i47CFCVP3qNH?5wEgazxvYT8j3pBrx_-
zYoP`w9P5pjhn_%qI<{$Mwrn$n_vw)d+b`IWb~~hJ>Ui0C<N;&y=qjI)EcPHv{|uL_
zkGAk{HVamF)Y>3vV#3k145obD{XE`JaaK-lOk6ufeWu0;fB31QOGT$>iV5(PMYNcw
zY}(j%L?h_Cyebp@;5z~w*{n!poUKVAd)lN8)-vjp9_wDAColt4Q`JxK!)k@vuV9wY
zKTTT#6^*ah3Y@s^vHUJVxR89hwH=>#3;NJ-Jy*>S?;oofO8VjcE#yGj^C!YxarG(^
zFVDzDQdi&^PpucHt%67=?S~gtmXECh3&~Wr_%jSRpe^!=m?qK-L(|t+UdxDZ_l>NX
z(p?jH|I?Xse1)@r-Mp{91TF#WO?GRK$VK^6RP|%p;hukz&KFD|B8VVLKZ@p%&_RWW
zmsxi;i977i@xecP*?wubCpS<QsI+c|EcLOnU42KA(W%iO?P7B%pE$27xx9=LDA-rj
zpB_9MP9(puA6c>Q%ki)uc4cr3$OG>92h2v~usk$}JsTqTZaZHV^h5MuF0&<SiB)5&
z*wN~ftzj>lyL9QzG7~>fF^Fr7>sqt3KdW|YGcv42=Am=gA@{DnF-~aZ8VQLYf6>OL
zI6LE>?^bRr>Q)Y1KXJh0PCH|=Ac$65Y4;y68(vqNe!ptAaaEi2rGP7m`ul>~5=B2S
zzy%i@1jeNXKZlrK4v)d#PCQ{OC+ow2-YtGAla2lDz*8b(3K^?-_2#JY5*Y8MR%^;z
z<%h$ggV(C&T)8k2B@c7vw=A$Np&HLv#yroQmg++Fcd-+)i=&WX<vB61UIErvfMm1>
z?3eNomoTDml{$s%@Fwan6UhjZmy;XVZiO`7hj)ncz4qGco|Y@?cz1o*>%x0~*6@pe
zKP5B|D(|LLL$nye#Xfj}-8z3n4lA-X_+aNCiS(&Vy#D*G0R-O8k75Y(axd4bG9+#{
zJZm2FIAx@^T)h5F&!h;(A=l+xh}sii7@KL(<eI%`Pw6DtBQDCCmp|0c_ptQ9YED`i
z-vg%r*)`BER*#X6`YUjiz|+~Y$&1WCu}0HAXW|~xFhFAD+}9)HVvMW%hVUmG11}SM
zB!>-0-)SU=T{GOAVDPM{T4$jCh2oIG2EkDD!R-$_##L50y__=|a9+db#fUIEr%!26
zr_<@{mV_XUh#!X?fnSI{#{9%Gq2k|f6I%K|55AnlPsk({D7Eci20=f?&dph)>zqM>
zT}*q2^cgwITCL}1te=<IeVthytp71aOeZY=&z$Yg^Jo~C&w_S71O<;0j2H=7pE`cm
zHJFTllO1_8+Kc>SRNAoq`wj6IPPm^wVj*O(@HGLoaUmDi!p!`iC^bQCciXRThg5Fy
z%9Scy9Fx{=LkZ%Ht_wk}S_R8Uv5XJHJ35lv88N?eTV{-tyY$C6Mf7GMjjhIb(FFN8
zVIm$Htb0Wn^&h@0ZB+qpEI(Gwp5%R5N~49~4l<)n%MV4pOLKer8m;G~2?t=RDbs^*
zT_uZMrKso<L*E>3S#*e{AZ3+O77M;_fKPqZ+)F<+jL@$_A4Gtam0e*7*UcQ03o@7K
z=+)w!7~-&<HAv7Y^WUI3ag!3P!haj0@Wsz}skA4)zEY{1;=@QO7rGE5wX-YaYsr`I
zmd;^hS&30&aH+z3QO2S`nFf3CRG-GX9sYDqpoEcaUu(W9zq5O}7DRviGp_kma~i>+
zWkG6Ux-gtPE8$C#IsY@THqu_kE7%*%!0g8J=-jx}*HYZgOBils<(t#ZAaA-j>`N`&
zihwi}*?*z~2|iCeyOL6d5pprZZhLMdNKzvwzVmhG?TYu!$>>^g#Yo0){!HQq_tB{z
zg#%6-0d3}wtIVpcpN7G{DhJ=m9Kpl4>W2CP2+i5cPDV^JaK6R{!Z^Vcb(2Ylc-jAt
z?wI=CFE@nDkm}*NjqTsrXo-ZyPD;sv^WOz!denxsDfSvo`-UqeMG5H=P2_)J(J-iV
zl*X%i;7VJs#f!`JTPE?p`1sjjjw#48&G_`Pe{Uc|EPsZW;60-%%#3O^vm7R05EjW_
z#r8m(-c%UpJovmg;-+Hb7<-;%?&s-Y{jFnC!Wm}%bw@q~KMTLW;AQAZ7lN>^`y}G?
zd?jP?O1}eVoD+)+ugPz9th~{g(Q|};t2%7VJQjNR^eJbrX_fJMrCwU!L59Y{^FCL6
zbQ7Cprj16?K93vOcxSr4y(p^YHhUi-q*W<R-8yTB54XsRdO3U`n@Q8kbg586T(CL5
zyguf1sd)HR#$bKF0l*?WNH2tWAM_wU<f3n=Z5%cia=vA%WX1^?M4Oqv`T;94ZvQuh
zw{-u6>Vfz?5M_~SAkwE8<4>xM#=)?Q@;!1`P`&fK0D&oM1kIuE&l+U8U3_O9M2mrr
zb?WFN(zOKrpOVfm-nhAW>RR^UFSn|1*Kf{0pANCQ)iQe|i<{ra54eSGDUH`~3s*Xt
zT6Y>9TPuu2zD^VqPl7ZjT8AV{`jYE;&3o;w5cFx`ju=G~zwzj$?pL4vcp~VD@`(Ib
zJq1^X9xn5Rg@BFW%FE`Rf>BdF7m@m0dI{0u_H!60kXh?Mx4CCtT*>_6%m&b|3|%zb
z1-g+<$@Rbg($*u-v?+aoKT*x!M@y`295uAZ_QSQ=<)6@B`&cf)pkS)=WE*MG*|0<-
z-5OX=yht&MFO&dI>!aKYgi+$No#M83Cx3yz7p=iN^Z4#vyUXlQdZx!=g@#TH9SCCn
zxUw>9zN}~B)~~+{#V?1Ou%5QAd1y$Atb_~UPHZL?He<yQpX@SL!2z+!ycFgkPX)cS
znhW1(t6911KfVj;uVy}$$MFSIWnk;dl4Zp3grTu;g;9qo;ztD<%Kmm>_Vby54i0+W
z`RZL+UShHkXEtG3ZvbYh{$J)*R_IN!3;PwSu@P%tcFh20#81@6^JYN;2d0`WuMBB1
zO)ss4O2su~#Sh%kXs4Jt;!o7^@}Op0=Q455l^&vrv8MUtbQ|!_C~5O6W4G}`*j$>E
z+`B%?P?@_bcr4u1!I0L8oM)cubwSGX<3K(i#SA+xTKlgS=)na|LE#EknA2Q9QM_?X
znFfAZu@dMLr@qD!8*eRbbtBg#iS-d=Cr^!HuflA9M!;K#(hSxYMC*DR5~HrLwutSw
zNT<Q^C)xx%jfRasG<P&?2ao<%z%Ei%eE$q{XpQ|u*S2RedF{Jc_K-}8DDVhx=esi|
z@53h1N*MG8FrfRgdLjv^U;2`%fhKw?fU1*A0q;1&;09J5&P=Vw-5oOIMjs-@cchHL
zwHZVqI4rFB74gerv`*j<sJ%h=7}?LMziF`6Y{B*7zgJr!SG1z&@8{sZv6nxTlo-G7
zs2zipk6p8c)fM}w?>@hwg|c4uJNr247oE0EVfloXhJt+*uNK`rwDL71pOQ>`7(vVM
zMDQW8jD${`GzuYT@1Yf5Iw>0E7%_)KH@JAd>yFFz{tz?04LYFAW#RkAmk4ZA)TZIN
zG8E&xF&3q}&^N>hw`5NeK*)3*<9Jpp7Q37R!9xifrMI=35S@aRv$n9#`7X|#(9Ce@
z27apVNGi#ZS;$_^SaBB3#ePakT8&1^`fr{OmRq6bZyCUQ-ZhWQKOcf4r1PaENgNK<
zNFziyz@q&7{>o|}S=qaL_w-=wrq}E7Oz2ypq?3k>G2z9H4CPE2Q2oVQwENP-#3-A6
zDX7daY3xs_u!~$2)vaT7N9Ns8>P)MS>cEK~f`_DFibQxnwF9~qIYCPx4~HTYZsoQb
z*o|ahao;dK&0j~lH0ah5JGW-$d!XZjQuI4crHfDrqqbfUxiRv%iu-x`4;R_vpxFJ-
ztIO%)>R*{4(nrJU>y^|J6u~Ct?N&>F)X48TWsb2?-790UQc9_5Gel=n(KoFEeV=45
z9eGPb7L*;tyAbhp7R!Wj;}Mv%;-?~So`qPO5WyJldhT@ZCZgxw1pblX=pf@=ymQT!
z{nXNawU~Slzkd_ZC#DeleDn#+(~?~*Zjk%OE1T9c2|nZiUp7GJS215^Jry{M9nSmH
z@bvxm4W)tD+#9p6!-w&oxHf7i)BZj4q4(_u+Yh?NC`$xcUTMk@%tZAGGJdi0MH&#l
zaB*kH$|VnvlV7<##r0Byb~|wDr^1Ua#{r(<dOEI656Z*illkT2fkZbTvMgyM&#17}
zl9o1o{8%wNY!r!p7*bYh7%VcIPKq2{oGwRQBy}!uh1u1*V~6V)D-Aux#FHhJh4U|}
zgmy~5()bA^?)p5*%CjuPhysOZ8dex3liauGsp<fC!WkaNhY4>W(yS&@Gqd0;z5xx%
z5eQMiSoyzKl9`+IReHX*yv&xgGHiO0o)%IK$dIe%`7tTQ)$F3<$b&ZYEfA~d7R3jg
zA||zBiSJ@Vu=r-qV#|#-E4%i~Ms~gVpRSPxYHc+IdkCp2tkjEp<oD?*1I5UX^WPK+
zzQT-WM|KXhez{Nd4TmghY%hLiB<asi6y5gyVWQh~!D$8sEf55&S#?HW{@G?m-v09;
zZh+2_j$Jk{5v_o?SeSLjb~TEZ_>>gxlW1NGM?IJv<2x5_VB<ekcn?t|+(#5h&TVcQ
zJ!ZX=jL@s!>VWWW0Ae7|&HK%=fyY}!sdMXhGTz*PG+x9-W}pW6-k$`?R4j$o{m<J_
z2fD{AEgb%(hzjKC`K7HB$A-6mbwvbS%wT@HK?og21pV-5(_h0+Ub$WXjF$L9H>%)4
zrwLfz5)N4v{}F7udHz=5OP`To*_g6~eTLbFV8x^C=1G|@k97ZHKnbVxJ|_vRbiNu+
z{?BBY1WH1S$K*qQ0p3xBb@D${_h<<w>1B}3q;izrYu<x&FhnQYU`)DIna}%2?<n&`
zR#nYurDFdA<1o(r>F=hKKX6)%(w4Z4Jiqq9yDx&7Hty=|6j>VYco-TgaP{n7FPO%<
zU$pPEQoV;NdicBV4d*|iB@O7si{OOON9oT#1x90?7ggIexi4nqn1AL%KgInb&41qZ
zXT|PKQVlKpvq<3qQ;2!K6m>DtKlsAb^}gaNbyuOaMRt^qe7!0L=vDv_q?9UC;Fmlo
z{F@_*tXwTlGvY*1Igznd_PC7oD%F8P7igRF8rgbL+){v&H8~q)zQ2ktw#5RzZBtsB
zi1h1kGQX|_Ygn7EshZKR@w%ggA+H30w>W)J$0?uaUfkC6#QL!=fJ2>>C<)70{%7K|
zFLjNb1Zm8EYBvWp^$I(`i<h>m(iJ#tMqEf{AAK-Lir@WRqHNJ^PA`^-@CJt9Htab`
z8~v?QwT-mS6}clF|1QzR<&f}AmTpiKrSdgCuUnyd5EHOW!S!o$8A6B4M%5IYYT?Uf
zS^TM>vLv_S#EmkwbV6*`vZqkBm3n^6lpyX8<$ih=p%GCB%a-4%leam!q0(W5%L|_I
zPRS2HMq-exfg&|t2#V*`*|i$h%p9vupQQC$I>^%h?HL0*K0teKqobz7@f516s`;TY
zkm~aC@{Wc%pvpk5uy4>4&&MwyGTXm;Je(J!^7iupADg>-Yu(I;<jYG+aZ{*y%M7gW
zALEQ3hqv3z!jtHX=rsb<_d=Su8GA3oBPSKYqPml*qVa)aJDr#r<{goZ)y(^?adDw@
zC0ZmIHRSYnsG$Z!e=^vP{+8o4znq;s53E(r&XCul9ahh_k~Pi)lz&jdR^vaZ8Ce&(
zn2Vw@vzV&i3!2%afhypoy$-R$EkD?82J|D>P~6s+(VLh<AAN+gwXm-;egk<pBJ$}(
zHG+@~7ni`#&giGY?Kn?TCNKqu0<UkV_A|Io5<kvWzUBuqDjq$;*kxfxFr?mvb6bvj
zxRjnEXlkaRMMB_bbQT`{se%;=%G@QDs?Rb&VqcG3pEYh&CmIIW#V`Icg{+;nN%<%J
ze-=Q&R$rQ+b&<xa<{>mlR(hAoFv<kCUomhY=7cIDv{#FpMT|!z!r_Yl(r^z89V&&P
zKD}*DKFGJ{rs|3_6`y&yA6a#ME}51y+GUB_J=`thYB1`UEJWN<g$>-lWOw4tF4&|u
z|ETW5&|wIqKIT%s2&xhvvw~Cj&N&Thn=#|T#kb?^LT%0aCma%4iQH3!wZ){18l6uh
zAX_EpuMqd<{dLQlrpcdp`S;tWrke{G3p^*!>BfC+OMS=>nrJSQP*$F4S{Qb5kWh1t
zw48mN-imeAM%Jpc)_dm8hE?G<n9wXDU@4@f)T(C!v-7E_(1nCB5c3u#kDBYY(9-Qd
zM(jXwjhool?x*%JaEcmDd)9?C>$X!xGc1uXYrtRG%_uII+^DdKz3@`bn<!}Sg5!GE
z!4LmuKOBZRLevd`_QPkG;Z5z?hXxGU&e#_-dQigT6-WkFk3;OGyUd8lNs!0xAFQ-7
z650#C{|B*J8IIMDJz}&nPb;9qHLpO!C^0$QaEVCxTfbHPyr*Q|vtx1&^EUZcSBj&D
z@_sR+rid!%1!f&QExo5S)0$hy*p>v7Wg{q&u)Hi{XG3D=2;H}0K%^OAihb5BE+sag
z7C+vXLP(T;ejNg6Z*RYZUZ?)m)|M$OEUeceL6~0q4tf{!05r!S>9bg+H{I%NA}c2s
zoFGzov9Eu)1rl9{rYGo8ew6+N^*8|B4`HOFq?of(SakXyu67r?S{X!MZ#CN9o=z5Q
zjooLYF6UH4%e|F(Oc0FyuB6)D-<}r`fBmvqX|S}*#or8tK^-ve?1#h=cEh&6j`^$F
za0aet>%*KR5cU5JQ~h~7jbz-_q>~f#;BCMs#9u^=rs`+rZeI4F3Je9x>v3o^_}tmM
zaCpK0VrQ7eI>F_HJtu3ON#4<de?wMb7aVI+Hqni7o>i9$lfnD;YZ}^fy8VHZYrrWf
zApGw4?08v=niZbF9UUQ;`B9n_|6OOn8b{dFS>O%pDXW9b@2W4>Pg{-_c%PL(m9~N;
zcrH>;;F<e?rS#5*pS7G7`Rc&E_zymzh(pFZ=*e?Q*yTQbK|Gy!Mg-PL;F%>0vKXT8
zLYQR4K-8B^iH%NlMKW?T`&PSTz;SR)T7Bb{y_)$JI{lQdJ*HtY!@HUOCOj_dqnBRz
z8%9atWNuT2H4(S)&~8;VT{Yon6bGXdlEYNl^P}m-h^VRHQwQ1n5p$od!^@c%6+KMg
zdMNKl|GIr<lFfbnWw-CRXn|Gi!ermapDsnb>s)z;I*Nu+AFbRaColzN>|IOP+UH8_
zZooRZti}Rmh}kZr!5A@@S%75iY@~aPnH;iniLNP`ZU3INu?x3H@!oc=5BfQV(fzCh
zKNF`bFgH6x9r6&V2@$nRWK!a7YYVNGz2yPNcm(-7!!!#p-@4$Z@0_G?7B-%`;ENF>
zY7jNivVMvKUPz93MCMBTO<6rWunx!YeT0E1U~!qEX-rYc666h{Snn9yjs~2y_uE;M
zo`<DHCm~N#5#2=kXg=UUXV;S6^f(02M8!}*lBg*wub`k2ZoYc`Ng)-bfF$L=o7J%}
zrF-u76=ypS6hD1pe6@mFdBt$;uDjBAbV~QfgY#dl)l25%feR0A({YtTv0}J(M!1Ap
zx>^AWqgRoO;-50VGc(sW5kqwj^Wp~i5_W&!FEIzVRa=s~7o>*(?w*AP99uM#yG1PB
z27aAnRf8voUaDk}|8F?nd6@FD@ljF2qHe=$2-aVw8dZ>PxsrPwDCx?)j5mo6;qR58
zEhny)>7JzAp21NyCUFQ)P7*lgn!WY|YZ&r8-|9cA%7zL>VHrsFRAA#X+j5{?`SdAm
zb-e}R$+qbv)&FDb8>8!LyLO|7jcwbu?WD2U*tU~4X{^RpW7}%d*jB^FHqJ_)=hHav
zkBpt&F?PE4yfyDRFDOMvPlpc`FL`_$HWIM%;IH!`vXOa{sxS6R15cI9qFaaRBJ{&h
zCwz&GP<w>&O^mDaBe9YdI|+t2`<^FqRh9SaQAcD7wn0_D(D0Lf#i;W9R#NoUr{(w=
zcj+^`W)zI$4nl<)Ts<=G7`#~<FZ-*3Qlgl{=w183w{ko%$*YA3&rjIMsX{3BX}p#_
z()-Vq#!g)3^gfL*khAqF86;}NjOHbY>yIRH;NGlGpQCm$^d+7neJpLiIBN(AFFB&E
z)6c8TG&ED3z$;6DvC&s3_!1`PRLA8d$dr%Jz!`l$965i?MitIVr<(00butq;vu{Vh
zIQ7SBz)U)$;a;x^x*?I?FC499&|1KW20g(sOEN`R$kn6Fk%|*6;)C>7pi_Y&@i$dn
z5FipsjFTo7ACZsX#_aO;+Byq(;5DX+fjtaADH8IzS3*mM5^Ach+Y*=+DD)#B-lZKR
zEk9<?b%oMmvni3cXu}GWgnF(da|+3{Fno{{DE`fZAapYKqn9k<5j$LN9>%&if(oKR
z@ljkc3_ya@ybcP;C*9q_qc}%3iZKZ|njxwhc1P!MC>N>ZHC#uh5y`DancdfdKadyP
z$kw^x<V)^Y9H8<e^W<V!c^C%Wrx;;kEW*EdevnZ=jN21^`C3J0wSfIF)pCH(P7s>)
zt0nQ~^1wnMPI&Dz>y6asepX^1tgI>otCq6x>C%}>H^)-I@BSs1du?B#V!U9gk@kX~
zp>wl|4{j4Nar!HXh+P-f=H%79Lb0ECMXlCB@kkJVL&c~lefgUx@r<Ml@3!aC8-&#t
z>Iq&N`)AwQBT~6&#h^M9uG>fH`v6m4H&BgzA(0Mzs_s5>ZdaeQAO38w&R2zjU%FJj
zu|K7K8tIhiTBteYv^X4C?uZ7@9=y~F9;M8FJHe9k^5aL-xfP!8K*$m#vyvr5$@+84
zgYzo6t6yB=dF(18Dmt(X1`fV8Ez5}hCntx9n2hwO1DRApXd;VWyu}6=85tBv*)TuD
z-%LOSRxXgE;o*H87?@AbYq5;%0Mv1q%*XN24d$^_avgXs0Kb;r)fVTu+mL-7`;Njr
z{>*c6%FE>u4q93`V-s6KSWT0U{_2shHg@{I|I8>e`n6?a!M*T)=mAQWOb>#%IdEar
zmF1<O?RidAJ^7@t*85PxCt%gS?53EO>o!Y&W+CM%^F^2QS~3}Twh<)>(u}+!*VQ^p
z+OEM<jLQ0VYK+ntNeQ7v-;mka=REW$Ho5Br*xbcfS@VLXU5b+>aTx?ZnpExz<6GuG
z-g84i#Mo+O_dVfO&0XZn+i4o&`MJ+_r$+FVOhf0nz|&(d-`5KhDvO0$7%!<VQ`TdX
z5ZaJY(G`Btg%V58Daom%isXh5EyQ+BOKA>*X@IvS{3g=KVpMu)h{K@KQajk1GIO)@
zW#Q{=$xLIhyf>FVcxq@{!+=#QeA;5;9pa!ozn|pSBjpE#OUXAY<Ul>5;sYvJtdY6f
zaSDq*S%KwC8P?nep5JeOh*z^uK45v1YCmlHjq4qvr9s5Vt&+9^TNH<;r>5sTR=Pui
z6^(2Xl#^fZ!h!-ipfn^vXoua1H1UU7)5nlNHxQ?kg@uM4=r%)~*|)+vO_^$;z(7{w
zUI$JpBz-nDTbLJw9y?$8de9t0H*m(r*)ZLhOEQ$54bp#e5&A7#Lmzh7k<ZuXwOz$Z
z2$uAW^6en1XvO5jSn@;~%Tc)Ni?Z`IagEz>a9$_F`Ww}=+osxcrLvzQVZT(59-u*2
z+;NvXe>BiLs?%7!i2--JhUkyyBagwpcmY4c?)DUO`=!~Z+uzXG9gPR;YsmZ^J*>u=
z8VcmP%k6%vbztkHE35yN>-}@?^QqEOl;|EDCn)(nZr$?`925GB&M)gIh+F&>*Fv-3
zAHJwR)jJ<(odY0&^R+BqqX%L%Q;UPZ@bu8Cir!k6*)W2?7=enRbeH|0G{SKm&}`eb
z4+<E$jZvX^V_!zk4Yb)6>W|U65$v!oQ+WiJ3<xwfwL8~t7*pB#<F8(__o&sJ^$!tW
z`4gXJ>uXR$>%#nrNfc&evz{=h(=E);uE;&I0cqPiZte{O!yZ#pl<wB=nVQWV6t>Dt
zGOwB!S|Fu({BVZ2UX{I1sFSV`9F0Gxv<U)&sII9gp|jnU@*t5|!5e1jI46^b?_(Qf
zl^+H$rIae0Icr#$igYu;VV3^vlJYxm-IZ_OVE+`+tgnq<TnF*@Tx(QDO&;aqh4gE8
zjZNv<(P-?htOu(%zQB|LNezw8rUq_gV0S!}9i~<JYrzXp^X=_?MiSKQgI_VJ>E>oP
zM=TN<rSp9J`~*V2d|5fQ{!EI9fAQ;v?&0CVGnv@=$_s+eHJGbS$^GZH^^8_XdJ%pH
z74Zp!IW=KJ@4+^m+9qwvbr6erdfQwyho77obS#W%npWrx81vEt<I8^UeTcW=!`8mh
zNzDTlh)9ozls(qeiPsVY{`paZOGyxi-7;0Ql?iXS@oa4G&j||3KX0R{;jz_Bb(0Tc
zUujd6bj(A)kB_RY3?{K#J*5`nkJXg35MK0rvEvmJp=IqshfyAG>1s1QTXz3$;C#A3
zQDS6vCMsabwo^Q17QZZObh5pbwu8uCk!ad9X{7mz@q9O7nMZ`e4t|E$p$pC05CzVz
zts$5zQQRiNOs{A!#oHUb$7#O9IVt!^lK$h9L-@DHj)3T;r(Q}O^KV}MaHp(~9TqcL
zV4Aw|*E9utwjrb~M>dDJZQTnCK5$||j?!zS65-Z?^HyZ7b_6NS_`#hYg)1y}e{M`5
za^6b?+V<MYy)>Eng!OO{pxp%X8WgdPP;7*WZKIwAp?_IdHL&V;IUo%&R&9FkmBT88
zD6j1)&4+n~D26Qcbt3n&dfM`&O=SOEN9PN3X^~6WOn3rORHpX(-dbgE=8wU#Km+@O
z-16)yRbgX)<XoW1t~>nu!utNMmeUVcJY^(xuli_?utS+yXi2RU(Nd8L21-*KSVYWy
zrEeHeRQI;@i7JuzlRsfD2RousXWU9*U|J)^a7-mgLb0YXtUt26sW}+!^nF1*s&~)J
zSN=WH5A6X8*0kn^tLwhzdMLNtWM5Up-2?Qj#t;Jyuj8B*?!JUbOkA%kg84>@Y2$a{
z`wVD~dP)Q!TZljyE2k&x<LwaGrbydxy~3xV+6VDUyx3{*Mo3Up6lUMPqK;K*2rJIU
zr><L9T5M2S(TG8i!&cP5Jqnb<4&0i)L43Ov3{4Bu+q$fKr3GU{$`0nXKA5CC2p4?p
z85OR|y&YpW?u>a^hG!=nw!vyJpAsv}IWEvUj^{NffgKo6H1Cttsgk%l!JmYaC#@oU
zZb2f6Jm7&Fi{6+OcPR{v-l+=9Rw0nM>gHg|eZnXCO_~%F{g$o)J&1AYjWEA8lJqoa
zD{@i>!lmDg?aMSSVf!1Fn23^oi5BXa(8`Beq^9BLD-_%ve-zFSKZgsgiLXORwo2Zf
z5^w%}I!CrI+;I|X8oc%roxC~Ti%i!B5A^Si+A&#P7&<VY;N03GXekv}k5#%LNGcr1
zu9V@}_?NaJ#PBvbygwUz*NhN$l5ns6AS}q$2i+zm*y)h`q=UWv{oWVL#~(9A<8%Fw
zxvObM=6Slgvd6FmVG}0GAlrkxencqQY+u|>4Rq6rm~7`26e}MoGCO{v+%o;$U8IXO
z{d0Jbfi2<g;lv{w3OAq0`X1}-%F-iS#e3yR7dhe`eNgA4@D2k=ho048lGtLSrBRyx
zCWg|Hl7i(*1E^MO9JRV0LBhbmRD0jqX?A$A+pILor*uUT@Z$i&FdwG<5<P6!+qLSs
z9X3J8C@6Y2dxEzB1#C{WY*yTD;0@rK1G!lH`P%`j<8QGXL~;HSL}jU|OkVeh188n;
z?#X;fM6RRqI>XTvW+V&@v%WOBXA1@~(`ktlDkabge}JkgL=z$!_7Su<AdgN8FgQlC
zeSN-CRAw{m2H^rMV?X%SMlDUDUePi#VlGZCl3kNMTRy)t&|IS>P0Y>AdUHj;^s`0d
z^A@EeRCog#6;{~No()I&u$OSRBaB_peBl~uYUnPftJq=ixR8Jg3i@F@4Y*vnPLsm*
zRPr#}oF(}%;91wG)Kf57iQ;dCOGsFyZ(du)7vI<Q0S*J?L6X#UtfYj>XvGJRjTALC
zEwCx#P1Ez1jK)LWPxi@~;x0Z4&Un2$+$HuWYsGd5L$=U^PR#c&BX7n|3E5*j0q0q!
zdsQ74UR@lWP8C~X`wjNKoLC^9D_{u-GQlk$@qbbkpou4eIWOijx{U|j{1iZ*o9*OJ
zBh22|$Bv5;+QLj#8T=CUsm;G-TY;^IkHP05jv{q7<dBdbxK7gGa9Wu#$|vT$Wf`+5
z)*^{lR1m|%!*Tc8Io<jHGNVFEhj~)0M0(JpOwL)_z^B4{lG~B|xlw`|nMt>f_@?JA
zpsMYoKrp-lJE4#rCM*ILdM^2SIRqvbJu<DQQ0)U1TewKV!}f2Sc$GtJc9|$AS&>f0
z#y36n9?A4q$cz2xz@hF_s-0G>&`*vWaY;ZoR;pv31=cO1Go3|n@H;OeG<{(w^R`kz
z16G)!Qj8nu{LAot|B6}<7R>b5p`Y7<DiKV#QG$#jy0Xl@&fz7p14NujSbFF04Ot%-
z2YbF{*ulTu*sMvr{OF_UbqSSGoezkQcf<4PTcKBLsF7-OY>{rA?dpHh+{mz;4+YK^
zYfqhT`WtQ`PCHVtK;4l`nhYcHisFdGP+;02;XfT)G`Ny2%E-uoT|Su>C}i^VM4;2=
z05gNhcA4$no3ADui9rcM8YRm@nimqrUTR2!Sg>Kwt*ZSp0_kwo@9E?mVB%S|@g@m)
zUXrbP?q{9@4BYfaN_y_gAFjjXkDL;KsAb)_|I+ir)z*|GVdyqR+}LTyoxTSkRk{f<
z^axi0m*U^HQEp65Qj$jU)Gj~b_}B%tHvkWB1b{iiiU0~o)P@3DmtrCEg)$MV4|iQU
zgedj+Qr%*N(qx*Xfq4Z0w-VH@<3>HlGaVTQ`w!pCO_je|nY7U7st%WBO5As)vfj9C
z<TrqI+YNAmsnWwqm*^ABmfFrb%i7FLNwv2D;uk0&j}S}uDQ3_*1|mC#@A4}=VMGqI
z{W_lqz}AruZKLT^Px0_#wiB7GTI@*>uW-0&H`PEUQt1(YdWG*I^aB4a@&pStnOh>R
zu9O_wgZ^pDVcctOA*!ssg`cz=nhg&u6N=>QY-*zJWLvxs-l|vY0^hu1h%3s^nGS80
zL#Cj>65Vn!)?ZkfdqC0@g(RpA05qV)@h9q|!7QZzQ27FC?1gr3@;1EN`onHaGr(`r
zYQR}ul?cY9Ts3mMrBEqSW<>cuQO60I#}(_V!j4G=d<Pdgu8o?fc4q0_lX%f?Ish7-
zzeF|ufPAo0Q%xt@lm;xXg<a}8@)v8M<9)rU@ExvavALg@s_fI-0k()YbBVkpTc)bR
zTG~T6%_v>P=zt+)-^GV1y|4Qq*Zzwt(0Js*)oyyGpWNBf6^$3Mrox^}U)t}a^}K1E
zLtCkI1gCcU*R?fTz1l0bfgL!b=|&@xANNw=thA?p`<snLSaDPSb}Lkp@;KWCW|OS-
zjX=+$n@if;X3UoXn%mDAj+X4J&5rL=c9cu6LP$oZ$zqBmCk8vt(6%=OMySZHAkggH
zj1p5M7m#RASNm2Q3Wo{iJNlI^UaDG5q#269qq{uZ5*x-u>S%wK+R4yDVKyv;j0|sv
z=aRFra|?2JET$&o5|HSsos1wkp=8YifvPi~z(~^osD7&H9!`FMC~o1eg%l!s0hH&s
z09qoVZp{-W#(Wv2{0YG~-4xE{HiZ&+OB-bMf*;~wY8ukKS&dbWa;+3n_qPL>1{Udm
zrVEyC0lD9AAgF-CU45lOx}(cU90u9N!E!^{c)iL>S3^;kZk2zmO$FC^tDb1UI?jxa
z(<2izSR@GPCIc9G(g!PzmQ0@bu1_iW@i2N-CCsJCsv9NLRx24K;wJj^4$Q=yqp7ED
zmClZ03+YffXXO5~=Oi?h)xL4kK~*GZ0j@&DOUS|<hj;;a)2I*4xVDw!$b2hA)$$>~
zV(X71RRhvO;z^jg2jf<6SZGPWFmwO>h?~A_0<+{u7~bh#9Le$SZxibL^>v=mA5p?3
zl^i0<WNLMGVWL%hCGj=s*J0_-f}w7&p4EB^)8kg27jQyz5TdA}>?RR}&U{WKSwngI
zbLPCOpmBPY+N;`_d+JP|e56v}Vir4SNZwlVea!HeafH@7Wj}AS4(tSD>4v?8b6{7?
z#LR*YhQsfE7$C9b{s~m+K*T#-!iFNF<andR(geHSUfXIG?OtD>&YFOO-FjhskS!J~
z_B?o$bdB5_$b|)`d8R*!j!k^zohBn4qtTE~Lsr+&0Jj{p{Ghsn<iFV+$b+go{MPw&
znjl@wUUAUAf*Sc_lrFsM<;1>7gxS{R<I;Yrc^2p+mna()D@h<7%r>xl0%w&W1XkdD
zNB|myr(OU`Lih2L;%jbJnvNvhpoK4CH-0{5U&?*gH>YVPY3>#|+nIP&mOK*i0d~?$
zLJ6|Wj`W7O&+Ph@_>}w9G1E<0yJhluF#u5307YZrF#E*H>e_QSAsXm}V=lRY<~od=
zXN#v*{vf>L18b}GM|yCCaqms3YzlYLx1_-vTcMi<a6Iav#=BH0s~NA%KFzyM_ZyFv
zdF$(f-d8a7&15A%YSQMHx3}cD#rG&KJD+q@zu&&SCd_vjimvaYpq?ydm_cBHo{4p<
zJIw}Mkp+UM9>yUZKb>`9zLrJy#Yrr9pLIY175?6g=ny6Cc)zCl&x33*F%};$_iq3-
zc#u?L8Is(OFpC+v9o~1nfC)vp^}F*e?D`I^?c3{1FJ-cgkO=cMj<eW~sP&)e!rqK{
zx%*Lzz0uTa^9h2*ddmbR;<-lR4a-l}vq)D*Yi&*E7wVdtRP)ByRSjliIL!Fd1f+tN
z*UV||@xyuL`P=+=tE7*yNRiKFdcHSvB9r1KasJGgQ4)T0k!Fqcok3u`whWdZWwNyS
zsN~JkYokNHnIY3h`VKKJ14&I0ZIP#JwkKOLP$W7y9G-0`FPGCW8=brnUO1hv(AlaT
zVVF^y(H@3MZJK%Fgbx{ui4M}Jl(w4u(Rgze*fuU7aAq%vJ1@urE6~Y}O+iUbbIRtR
zcLUGEZ8i?v8Q$0H9Q3_K9+a0;o_`)<t(s&K2mu)u&ipRL0WQ1VM`5r?d$+aa@)xYf
z{5}tJDXS3WmFjMfbcUT{y+<#;P=Nt$9831z-sPW5bX6+VbDR!#%vK9r(mE`iYC1B4
zTBgZbA%6Ypc%FK*ag&h(Vi830%<_2CyV}YU<GThryr2ThPT*<geo#<s%T{@T32#mj
zh~ddbf#D?30SRk34XH8V@xhc7N(;WPwkm7;;2Tg_p+S>mySziF)(s=z!R$hBZ(x!A
z9c$HvAXuL<e9(-V4pcNc^aj@rrqH}I;a!hiM-Mv)hm+Yw%d+f9%Vi&}^KzxCMS2M@
zp^6GQH+)csveBm2+&AENC=X)<%k9sGh}%i?s6r+Lp30YZiqh>+a16Asq*1iFL?sN&
zO<^UqjmS2MNqWWsy%#D7&3M9!VS>0HR1eMZe$zuS^MF%0L}6i}6(%g3Q0HvHAO?&!
zK-@2$PcRG%k<x2*sks<X-*}iJB4Z=_@+4-8Ap=Ho=}jTcvl<f>h2Dc&^4zrHmoWER
z$`wtiJ5tI!QVtVF61JHrKLw=-c-Xr0zQVcEyo;eOtuDXh1tkhO=|w4%RuM8e(l_IH
zDz1J&ngQk$lB~APPFdu*qjdQ1%|tmq>XL52dgU|cTHGkh?v0$^^t#73JTXXekerp=
z5pmYK94U%Oj(;(ci<I@i&zURR?IUp6GkgSqQLU;K^A#~ryv<3hv(l>pmGa-sBn=(x
zXA`&-Jc|aUzP=WTK0>^i+u7IQ>fe*;m9-^x{HcgmzGiVqc{zOe@=Y3jj89oY{$cBH
zK_ksW+EEfJWRHEn`oCw7D*^Zb3mR_ml-HZDc)@;n3#Ds=<m2iylo9PS3Uv5Y>=kFU
zuDuFmwGjv<6%y`k*c>K1D$>FS<^CS4@+7jI%?d3<SR(>;gwt?MrO_|pFyc34JPuaq
z8C-R^FXma~m)G{rMXsw@-<T>(NOUldiQ0WB8~DW+U6K{hiiH5oh>?PaLd=Tc#q0iT
z<!w3PETk*hp>sCsQSGl8V~ER#g+ddS0+Z^Git$Un`d{xJ;)*&acsFG|c_y%wa)qgJ
zLSKdjjdu8=h{}Bx13KP5g;kVw3R5nek4locbayB?<e#~QEz~Sb&2#d>@&zFWN}xw7
zn~Kv%5en+3qyM2+DLVKiMOA<v8OIS#nkJy<SypW84Cpx=Jx5@F&|hv`X0r^j3@1^3
zZzwL4<l-05=SZd9ehosD%Ef9RE<P?u5(|VP%XA*+29QO+qz+~pZFO=i;^LvfQ6fFP
z{LntDzz*zax(L(<F-vyNn-ZEwlaY~SJBMIeD#sOJ_|}Us{}xTNh8G?Lfp%Gw%1yyz
zWMEL(tYY6NJV?47^6*s&QNL7dvR+_l_*Q(bg3U40&u-ERz^k6)W$rC}G181d=+@mt
z%1bIA&01};IDl*s*iVG`k*KJ~0#J}WSzsR}4Iuob)1YW$+P9V8q)bpMzxYjIe$}ev
zzop<&n+U1CT~i9C#2R$%!oD>W8w4*_pEp5|+F&p4rx|TCn_Q{BJy=mvcZGcRc~ROl
znKNV=w^`c4%ylog)D`ePa6jK2U!sDL34LXrG19K`%=2VV+p6Gsj;^t;n;;y2K%Iu=
z5NV3;Lk@P{TJEtoA)Dq@uA{-K#5y;yz|G;ZH~4;wp_C}5VWBeUqsHXMWnU<9pz=-I
zgt2dKm=M}6wb)%qJy-1@<;#9t{iw)P&+B4HS5IKZ9M;z&L0$IAh^~(*o1;GJ#ho99
zYrcOg!o2py5K(5027{Pv5TJN9GuLF(#EoF0wKTibslMJ+sb+PKqbt3edi7n;U0UB)
z2>u=13I3GFqz*f9`F$(wNb%W57~`HvU!!9Nyx}y=_2lzmsr}jk``96_8dDKE?39zV
zLr!6AED|&V!aPPxIZR?kq*X2?i7gR*+#Vu##rI{IWggqK(UW?yG`(9e=pnbIr6m?i
zXST|094z+CNLwi?iDgMs94j)#i3vH{5iY`QJl!#soX{5MeOOeDOYV79v3&#CL2I#j
z>=Aqzz|FoGJyN=};>BZW(*iw+Sg|U27Vjm!ruA@cJOjul-qQ*Tb!eNHU%pYym!BK>
zk91b+H^M|RLD0rWL(5scU6%Q7K8W&!QwmI1r6lijuMvibKM^7$J2mXCXRK#ku<B0k
zb4Thg5}@!zhlL2|54a2?x0CiP0&EYX{qVDp{Cfl}(EB~32t~RRZA?NBJW_=st8eWT
z9UrRL-Ps4FgwDrK+cw9QN5p1-DzDjrK3e?9Ip(5Uy^Cxd`f&~L$~FNIkJ!qt<TZse
z?o8JgY-vU~*10Gup_%E&`n!;v=wFozeg-;)MczQ6PuP*w&>PYUd`|djGJE~Dyvk6i
zxJ+!M=E5DscePNH?KJjv0N5I4?%NdTf~ffkFjT_NxKJ2Q-dZI;m_)f|TQfUiYQ)^Z
z32RWFprSXX9`Jg7e{BtGJ>(b2O&&h~G^W3AvwDQbe(Va2YHEqcT`A7oPfb0m7S}n{
zMD02@R*S-=^u}lsIGo|pp4OTuwp6xc-e0`Gk47IeEJ>Nqub&GZit=yfilfK->MdtN
z!2MZsQ<SN+vuh3yt^3E1afk^9olFEzxZtC*-O2}LzSLiYZmse57Wl=L{8}G(SsW7b
zKR}ztD5;1G0{0QeZy<)P-FX^-2!GBhH>N5p2`nKJzv-&<nv%X^1bc`+MQ7Oij)e{V
zDv%~48^0%hH8URgD0hqtvzC8eks3PW<17Z`8H8i$;qR#>s6=-#bc&B)Ti?rmhhom{
z5UP?@IF(kYUl&=D270*Z2Of&=s>*642_!t(X+2`x5=RMSD<?zRA917oiS82=nNbK%
zcpD&Uzuo;RV(Pe4LE0qD+w0&L4k|<BFbJ9=cXpYW!UsDbPjWIIt<HDtXxoy}tiJQ(
z(yMIGNt(#vCjYVp5ElF5Una^%7^?(Gr{lkC2ZqDWDv`33p`y!Q$FS{x{Y8_M?}mf+
zaQ}cFyydVCOO&A9;udk)On#-};r4)(*=XFNo4@xsbD8kRC(=TiPrAC1)wzZaLo%YZ
z9cbXjQGli;18W^oRtZT<MW<rCu)G#Yp4lL5;Vt9qLY>o^<cAxiwT#pWpuH6w`a~#E
z(ZqM6<WO$dF_iG5q+e>GTYpgWjyv_l59l6q1$QodEiJ8JRNCdCrMu&u8+p<wV83JE
z9Vx5mAw5_{p7QOSIu>BO%zIkJ>@w*M0~b>O6QUPZA;~thol0y3*ncdb%rYH{I)%Jz
zSGhRkD3QIij|s_G%6d04v?KmLjm2N<mG?;|>Oi0STpO&y_9UDWUq_ZH4YPkNno|WB
zlq`Q-9-wZY+}AUSuU&w-y4R<aUOPe)ZW-49so&vvlC^OZa-shdx|V#S1joc}Z*$7n
zNmI~=%P-tw=-@n~KBu?uWVJob&s4jF+$lm)pbJm=3qpidLq11V>DBy$rLVi?!ebwz
z;K3-YG?Ikh07LU881gPF35kfsWDCyH%(};NO_XImMF#(d>!9_QAW=5!UqbAEnu!(Y
zjp$(e6*`>|(%>{h#R`^OU%s>%od_R+&j$L(Nd9aGW%BQXX});D=UHbQmkZ)H***`f
zgIwNt#U1S^;9M0X*S8hz9Az=c`1-nTMf_a3u@(0Xe*yD1BAoL6WaIh9QT*n#>2u(M
zl7i!h)vGb#`{xOlPmq|`8%I#x29o{1aZhACE}Ga<y!}YhV5qFMoeMx1Ue44#E)L0>
zEes)CY^tCS0PdpUO|FQ?@9%xpUjCJ45bwoV5a9T04i*yP^;t4qTWReRxu&L>0BYHL
zJ=5S-Ie-#W>;#4ML=_fA!XY#H6KC@_<<**(_N#h&Ywa(ed#`=Lt%Qm?RRR`fZ!XIP
zU6{^;dqI@3@!Ii>WHkmtQU}D8bWkM&1G#Yoxn%=H`taabx2esu6^u~R2dd|~*W`2~
z$#!ezw4Ev_eY9+Z6Q02A7(v*k2v^@-JOHaHLtz{JrsH2DpUR0g`Xv8WZl9sT@rdL7
z`G!o_-TPpY0c@g!aOb-z5kq4frQn(u+~iN}M~AB$u#vQ7*z`TwyRHxg;HN!4zm<mv
zv+LLw){p<5r(QBap%vjucBUrkvj3_(PxCAEAsDx~jG+0R=#ggonbrji+;Lc7Ob}5O
z8|nx7(AJvFF^@xm;){9wC#-qGCp>vR6Xg<Hc)!nX6|K(M{-JjdKjD3{tsQlOVm4<o
zy&<3uxG*;H&|rUel%hybg|01t?^LLL%Q=ESVB0X3X)EFsx)8S3d-4dlkW6}hZ3AIZ
z3U!)>K~u8qM11luoh3|#bGWAec>~4nZTL(O;`b&hoMt5Gd+B|x;)W=b7DMY3?4V#m
zzcD5G7A4Y&9f8PRh+#NlDt@qlzK<Cc#3KFqCx{aU=<!1v-H)e50f-#5t^{1CsygI5
zo-^z_o)^cenWY|m%I4^f=+4gZ4h7^>*G^!Ae~s|Y+^V_HREA+(TshjzI?e+H=tVBX
zTJG)9+U)tQ?=`{w(X66Z|F=8;R`d+O4xqKYBXUZbhkO2Py@U7qcuD1s_{-r=OvJCK
zz1&+5@4Qu=z2c}x=_3-T8?$=neFZ({4>BG=rWp8K8YfLHe&ixSwRh~%+Vc?`7A%Jx
zHX=6EEK8e&nAW%6^tia<YLKmCtze=%?jHOI(lXR|mY=znzr53)N|$5w(X2Eo`;r~S
zFs~Bb@P~CUGFAAqGVMsD&ksERlB3e%PBOHW+j|S#T&y{9$c8{g`(wlyT~q!pTe_<V
zp{=z#Rxg0mVfA);_%X%Z(w>+rL4=v6m_2ib@}mfSnw{!k|G#%k0We!7rakGrs5W(~
zJ?eG*75Bj6;-X%`pH*Q3Qwc;Mnf_1>Q4(F+D!JB@Wt$cKzwuVr9LN0O*LL@G1yOp@
za)`)_@2h_pmN77x|EjHib8LE?A6QvADzldT;07S(<wA`s$Fs*pD}~R=J!2g>>KvLz
zm+}5AGt!L+<zm4QTFpI{rWrdbsxBm#eXb<Cl%1Y@c++nRHD*gLK66G{MOLqTbS$%8
z<G5?7x)C_r16b6Ro?PV%umdH;se%Z4QGOl_4Q^L3lLhdP3{?H<;mgV)iWN$775xwm
z6=nL3XE$8kLTI(vp~k9&QO>vx=<NM;PY@?~D3ff-U~p0-TN>n6S2u5(jA;3fZd9{y
z`1CqFu6QYYlRw-BB>)-e?^d@wgD;WEk^!G%W-Poj4M+6%8PhtVKO<~K-||p#ZFfWi
zE@4IN?vb{io#~dUjlg3`Z+OqzRmAuUpufJW^x091hH+6=QjW1Y#TqE*wvQ3_AXsw6
z&11nh4L!U7HDfq5z4#DgLZ9<MhM)qwNys6Ok>|)X>yQyO4ZRP5HIqPW!b^9zQ1f{&
zoGp@Orw{k>S{o(`3W`|0f-ReJ`d}Iujv}q8H&9k~og$z%6wV{BEh<W9kd9Nd)Std?
zEGdB=jKn5=&Yo&nZM4N51vI48)QZPd6?#z8NONsQ>03`me5+mdrN5pm5@fZNV@67<
zh_c-IZkPI1`?w=?s@40N99rb;`*A~Dy^RLQBS!U)g(2D~@WR&#t_LF;u`6ln!vopU
z*+Qjs&;f#NKa+v|SePdqf-v&9$z!*L$4P|1B!N8Tey;kW1}@8%VWXOF7EfaS-tt)X
zSt!0`C=(s?N5AC^7{V8J>GM4Q{mw@8Pl_0Q<N!~v)A_fNe8k*C+45J^zdJb-7y~I%
z&Qe#)Y6~*2+#lDb^Rq-O4)y!*EVy3chu=h)jMVpCv{a-9GqUhFO(9lA1J0c999T~p
z&Nu=RWR-~KVR9CnOT;<!k!^0gQ5$}!=lEJ?S#q|8nj*aHYaMu;Q3Tk%siqYgwmRT~
zSP6@u3taJ(784K$pVL3+7BYUw<Z^&2?W`0Iw;<!W_D7Z%ET;M+pa^bQjez^>4V?Yg
zYoN7Ak`{|2JmF_sr%T?QJ0#e-Nt}WO)}cEM>rB)ikH@aboBG8GMpai7r>^QASNi*4
z0ONQE=rDf|n~{Icv|EbAi64yTuON3iR}{fDf460G*zmpU>3WMQ&Bh?v!t@==PMi;k
zsUM_}O99#Nf8&pxEMy+i*^>;Cr~rwZe+Bv_-w+F_gD7AIsYLRVr2-`4c!n8u)RL~i
zlBe<|k04CYLN;rD5~yf(0iJA3*7J1i_Q^R%n}8%;aNB9CY(-H?3g@~<e%b<sh40_K
z46Nlyy6iH33sx$2XTx!dCP}JN)>Srq_3ywqrXp{u{*d}W*)Q&4cj`qg5Iw_rGC7K%
zrH>N14o4n-+^|0s%J>dT2^Sl{b?qF@JVQo#HkLrq(Z*5!=w--G90=Vnv|Jn{E<s7$
ze5^x`<PQ<4SDY{UcFP-+EzAmWDXaW#FHfMP$N(IwHiC%03Qb?vN6be|)cn;|VoTdB
zf|b4n{_p*^0tM86*EejT%2#%<X|kn{h#e>2t#@a|vhU(<>x*8D)i>^w&(JP^in#(A
z882$X8-o6v`&J4LpYr*`A$+g~iO#hoRsN$K0KX3ssT-)RYNB+G7QBaAk{a5BrAzTq
z9ZWoJf3Eig1nWh$u=UWJFQ}J$;1dMGdVY%eC-Ygu5Zi@Z>OIHupG`zt`(<=<Vgu4_
zneAX7j2}SE-KYnMaXu$G`3O*|C_UPwl(?1AGNTaoENsU|L|ilW9UV&EEO#Jq|J(;K
zYqNCTndr3Y-GDe7KATOa8vQ3GvojZnP3uU&X$fOA4{G`73NX;?2Hu&Od@4qd814iL
zQ@qc+jQ(*;65L*W&s0wDg-!6chY5eYN>5<vPZlc@=2{lpmY_$(rJ6d{Y%_91SUmtf
zdwqXq)B_`uv+FFUX~=T%GCBV!&6V2&{*If#u7rx?V0JT>J3954ktz5qW;2cuu{XjS
zoe)I&fUvxVnwmijzm_-6wbL(Cf*jXcf<pV~$rV<8<rl;Q!3@gqEJoo@FZr-?uaDEy
zcD~_yFX{R4;dZQndWG#Fa6QniyJi~y_Xsll7GS`N92wVlv#^l$t>}S&(xnSgEI$Sh
z<?C)zQO{I+MQ`Gyn``BFRgK^2*iqOSM|gnp#HKIw`}k3|Kn+Qzco$W8DU=8~AccMs
z)u0*>rh>PEoqhy`%MQXZ-oCCQ%EdzFUg6}~7QFaDf~KNP_2#Uh?W}huAzyn6BAEp_
zv|&N-&azuMn3CM#e(HK1K~CD{u2j5Q;*IY*o1A`Lbv7-PFi5~%nlIowmwsWpqP`t6
zSpaGY7e|3)=^#yV!f;9J_V#ku2P`4lZ$NjY1<-Uo3TfGSZv&c-XH4DXQ-zXQq_dhM
zyf-IXdCXaE26Afl%@O@sg2~>j&f2e{Y3@l9cu|Iiq|!~*9{`Ygk8RT$q^ZOYa#(Gl
zWgV9+hPGoC+a&q4QB6*}Rp__Jg|1DY^@tS2#*M+AyuIYYMxE0#xkzTi%ClU&7Yqp>
z1PBqsylYC%tfV@d+n68<;_eYJEY>+z^iE0te7X$-yzkWFy?#RcGR?<N;5iC)+*#Zp
zP{Z{jmYq~(eUdAbziJay4D4j?%Q3LYfhG~!OF>kS53m+ogde%vTdd!I@3g;PF&B`}
z-JkFGc={kuh5ecjf~yp9ObecE#J?9D<v<!u$YBRcNN)D)Cx!yU)wj0sJ%g4eh`AX5
z?1;;PMZ83soVvP6j(vTqiuCbSraF4zkA(Fy-DeL3C|Cl+f*FfJPY`)p@2<RAvAiG{
zUlwIthFw3j0(30z#W6y8VSO=ryQ&#2t?$GB>qjX8pJMX7;0B`!_^sSMBwc5zkza)7
z3Wr6&C?C0G$u!?V7O`5Z0Gc6Wc>DeWi=B~fG;x5wX%!40*ONUz?hC%b02?A>>=MDl
z01Xut$aEqOpGWn%+UNNV?Debt38+Udl6(~pla;Ux!Y!=@?!1TC^SJX|ML)mJ$-Vg3
zHYp;CaJE6fT8d&E8HVwPt&>wN(+@HNvGGVrAE_aAEiD+J@S~)zPBA^3Jq{PgdauF@
z3+8arun_Sz)y2<JL0MV3w>X8={K-{squ;wH=!1(zoa#Y@MA8?eNuK>TCs~g2#cccU
zS1iFw-`2rWr!JmZux>`PnY=&o@o@pj`SY_7gxBvcCeXSM>k9W~Cdpcy3?~27gB(CX
z1;3F5!s#_rzxR$=A?^hhva31#$gpT<F}+AM^aRVWn~I3!seU-y!gs%Rt(c1{%MY8P
zC^^f0qPOZuRX!{O`EU=`^~8r3ky%xLz^4;F+TsPWcXG|Ty}MOAvtGTxy=howavpj-
zt8Y$o>N*)Hc;;%um<)`EjTVP5jO9n=YpF+%_^<XNB0={a@m0kho+Hmv(3Xlw)C)4m
z>`}_>pEGGCSz^cu&2Gqh?SPKjZxsW5`WAnmL^YEmp~iJj$&Y@+9Bd~ewP{PQHH;IV
z3C(Z!B%|L9w4EUKsuY4TD`kRkC20hA>IVC33`YqpbpN(d0^p#}!<If&17Cbn4teuQ
z*Z=o2gk}=>HM`wT(C>;&nOmJ1mN^XkO&xe%(;xfMJI7sk1{evcWDjt>x1g7e4gC(*
z-Ous|{>NaER^0gcs(uCc%5cZuiqZ}`$^AQY=+;gO){c%jk6rV00B|APnJXRUx4gXV
z)1<x^p#G9GK(YzG^CqTvmuKQF-Nu^Oq{e+9mu+EO6^%4MuBa}0S0a=W7b!SRP>?8B
zMt!vk*LpOVZ)7nz)l>O{yx#>n082JI<2Oyp)f9u8wWCb711cI{Gm+WA-;yq^aL#Jp
zCelbJmd-G?{p05_T1W_a!8mm`@Xm=FO5W~lw!u{*A0vCwi#zRa3TL0D)o^U{zEaP7
z$qa0iPI!~Jo7MFe+R_OH!T1Z-PhL7IV`0e&!Y1E*LL1*M5vKUDZINmfYoh0!sh8ZL
zU{~|fF+MP6T19#%+320g6z&&nxSEmDC>2$+=K|(Y85z(-!i0mrB<L<~aPKz)b1*qh
zc$%>aZ}u?~WoFGg55iAEMItZpnB;4W1tp1arywnM=Y|_fkg|~58TSPe@<Cdx43o>b
zy{r{6-D(0j=5<U61O7_y@)yZIQ9*(Ll>=Tnwn;*Qlr-pIW~a{^k{Y7(f1IE)%GD-x
z*AdOK@Zl$3{62EvQ-|muSVyu!hqJ(qEV0+3(<uDY{N@0&4PHC_g^vvkN()gp4Q4Cr
z?%C0vvja42$fE#M><fPYA&<_P8>P_f$53||9_NwQfp`kRuNV<+@D&Ib@M4~j5}_F(
zakThtu<>iUJOrMQM88E6O}3n!?9mJxM9VT&xG-5Nj=3Pmhza{FQmb+{s()sh;4Xq2
zehf=2pvsUmP<@PzVU|w%r7vp6?^_SJHak{ro7XKoh@ZMDZ0b|4`c$E=r+8=HHZP<O
zdgCh^K*bZn4U(bwm;#F!AB+so3xvJ@AfMdHSa81%tt2NlTB_<b3v!>FI?V`eElvPl
zob9(Q;aT8&rxD1*L;9Wx?eR@nR}Fr;h3;eG*HUw0)L+~LjzEcv80rXmps-IyUT?;@
zUNPNn@%_^yc(0W(fmOf<x+E^RoX#w(pLlc}&1<r?;c?bgkoTxOga4A$(TTE?`!spy
zW*hn`Ee1z7^axZ$GVg&{!2hlm`g^@EU+VZq09bkPq%s$5=g_|9b5~-F+sCv!VYI`!
zL%m9i^pZaZSBa)SYp^ap3To4EgTw{~^*{o;QXuF0KfMCky<1+(sybnT{HF0SE_$It
zb_Wf3s^*{ol2b5Epz0$-dk!BP`is_jbHTTT>EMU!d#Q&m%)mW6NGrQ2z(q;A2h~ZI
zW-ChV&-s+sfaA-bOPU6L^6?x8dAt*@1{YPu@k^+2JyMU6hp7~Hs*;s2ogi5+H&i~&
zhbfy?k-3q+gG^ARW&Hw-jJ(ltKNF!oV&4ab_$x9fgfcE{>u^&1+qHir4S3>ve`B!(
zt%-K3b4!Bj;+kCSFr8CM-4LxBtd8W_1y<hoy{DzDVmDyo4{v2J51TMqo>c5LcL(wZ
z3;(|QUGC0SsUO8}YH2PFW*?XGDj&g}K^yaLwf_hgLPbfcYUPYN@>=;w=W5EQvJjS5
zH9o==mFMv3%D$elnA_?!BP_VG@5%3(+n%`nVlm+bbi9ghc|4mJ9t6#Ad6M~K9BU8t
ze->oj@__3uA5lG(l1O@IlB^$LO$0KZ1>*{P+F~7XO#lN<4*_b41I?-9$Aw=`3zQ)0
z;m(6Qw8W7D@~##q-FoZK#e`E!$<5~12s!!nNS8&iVP_OFsiC~%lt&+1btFs%Lz^%~
zYWSXe86~zdc|#&hkZ`BfQ-U9jC{X=l3nVgBo;!awxwrhxkrfQUp5U1a#{Ih_Crgp;
zQNUAn&A@co5dCRw(0z5#G3pmN8Pt<~o?<HO{=j!`W)pxBofI;2=AlG<*oP!cghE<y
z`DsxfA=-89lTC{m(mp}0p>s#dCG-TrmT42CaD4#=$<}9sS(ZYdoGAnuVHoU@it=y=
z+fAf3w^)gyC}I*Ts2zE~?PIOXq!Mj#ej0C2Rf+C7x4BxTgr%Oe%~q^@;AQI@QPhI!
zoe8lDKzp65W<K2U>{d8d)gc9r%LVR^eD4F2bM}Cy46^i3jTz3vv_=p%NGWWV@$y=F
zAAWGpH?fkL=QUxBBf<36`)2-8+2CN?tI<93S=*IV&)rds{I@ipV}!KXR1F_Y>--s_
z9R^grsbqhNioet-0AXV!+WOL!tn5meDl8k=01W>`iLByw6d~n62u6uX9s!-pTiZxL
zl&zRqNqx|;M|0a~jFcHHD!Lm0+u``i5ybve{0~58B8fFurZBW+CS}R6r-I1y;y^Rs
zvqlW;Rgr<;*uO>k?F3BVb9IQcju>Y956Sy~kClIRfxp*nEM%@uJ!;}B@4plM0XkC7
z>cRRt0^Q9lr{gyt+l(}z0Fj!-^<O>4e?KX7B`Rb!6H7?<@23uY3>%(zIo4pOpfFJ1
zVMsPIe;AxrWBxv6xR8#ETSR|49t<=gus8pcRGx_ut>x92XXt$w9z+@EgatbYm~3Lf
zvs&I^|K-33{db!(1LP-0KcfFladaS98W)q5rB{)zE{kZ`)6J8IRUB@!TFtR$HrnMW
z$7Wb7Hok2rEv<kIg?>Jcr+&Ez!DU=CX2&^p1V{5*Z=H&59=hSxu3`mKl%!DB)`dn7
zhc7$|j?o3bh$CAdy>gk2rW`q9t=yT4mE2z5X~oN=<R&Ctuhsp%NpH<r8Mn8j>O3<p
zZcOj!4C!oT9oB}uXDX4>qT-|xoe4!F`9r#}sv$dpB3#06wofl>d8+<dadGN2f;~ml
z%UJgWkL!d7?2@+)BQwbU9xGrxlg>FA*SFYu!Zu?U$F|gacFA+Zo4d~;M%ljwQik)I
zN4I6-WrRogK2RsOR30Jm%V}VIimTF*Ied9R2cqSv_GSM|(e7Er-2)2X+C9^8jJ#@-
zH6lmQqrrOt4TzPJ-kXk*a#i?u;7*h+TT6ZCSP@kM2Q&-3Gm~-R;uY!?=~2kv;Ym5W
z#GBjO`8tUP-|M<D;Y(h8e7h%pVxEHl{D{q%(7cZ`scoD`kIk8JZm+i?vi+L0hAarC
z6r*_@W?=M;XmZ>riCEtct=8wDd^8@sTRZwi>@s%EQU@=t`&w4fhS-PXJ6Bh|dEHQG
zx&60ma`&q6HL@tT7f<)dZwFuD8!)!HTzB=fc=g&Y(`tV%BpkWA*)4m^@G{o5SncoA
z?+fvorz-H3;j7N6ipXtPX%!HxA-gD<<7YtzCYv&F4n~E`H@$*x2K$R$Yp!z-6Iv;i
ziW1Tx?=Jg0MK811wleQm;xC|Do^U%QW!D`wHq}@k1c(ndSbne{Y_JN|tgVC>6T!L;
z75W;+&fA4KaH;L!b`t;nmTLbq2VtG3#Zx>;rGRtJQ@i^FF_YK1YLcz;1NCC!BRt-6
z)=8~ULdwvM(z1=bs(v=Niod%>!QO6e$LkS4*-o6v5-P*gy*6lqqkvg2os|j2<mGHe
zl(Pfp*#i0<Pkk3MAhsg6oh5nfdM@>ZzkbvVS8=cqFD^-kRkl#rlZg#_CeclWRW@Oh
zekeSh$&I_uWB2S)QVvR0RjMwK@+X}SOopZ`xB25psdY|y9uCd9W}stSnYGn`I+^VR
zB;PzNu`$R?$>W0vh~K9>yFid<$HIwu*Rp;zN}!@dt5NA<-U`3`^J}OhQ(6=D+}uQY
zjGKzErp1-n$w|_bsO>~b_-(0pOItg+N{c{?U+VXp<@|h}rSU1BNY~|~eoe{;ZfCai
z@47KHU2bxvWfRR3>+o@$mGYG%nsywG9SzbSkAYjX)euWv1KZqcy>p!ANQ3o}X=+El
z<Ez9dDhf(~z#wzv$?*jzZSe#4gEDWLEWB#ZVUqP&E4Lm8;B039Us?c0zadh%j7S#y
zax2++`H?uUxxg-$bMiZ`%<YwUs+OH~vaM&=vBnd>eEA}pE#Pa|9RP}iiAmWCc>54m
zTP0l{8|@G;Sh^_=u`3atEJyMkCKNmF))hM<IQeWZF6cT(Y394FMnu5g@1@%VHxlr?
zl=;s)lIZ<q7-v^%`aan+?Yn@}xeGb{L|IJ?vaE@(%1)FsJFk7M{O%8Qx8mmcX!TSK
zS;Z=Y@ewX+#Tb*FGlg|74cDq*?^LJNjmcvBOR3c(Rch}{n$@Gt*Wx^!JKp+*p6^U#
zJ2ESE%EzA1N&%V+`sSyrEldD#*u7|l?h)8<wK6EO$VfK{z%IAMZuL8TTI81bak?x{
zILh-yUcV0IYdN39q}Qw;e@R?U8Jj2{9jdCiik{coXz|$g!mkLgp8TE5f41x-$(K>V
zYD`*1s>Kj9erbK|HoiH9WIY*OChu+ha=T|;wTf!e+AG?oZ@U}`^}YsK%8FUMk7_mS
zVi1$8_w(g(pDfO(Z8Mj28?Gjc8eZCo=@)2Ymbr&LNAerTm9;P9CB1FKtIFC>E}V*1
zxd=_xhw>|1=G5$W_T?X1=T9vv*E{XDmm@t}IK13Q1C?A{*g`@>hmCKVEoUgOSj1{_
z6ReXZ8{*(#xDh>P-5T!JNLD7@Bk^<yK4-E@;yB-(uEl;gKQb6ySippY$AQ4q_sC@}
zpXG4EzbsM5LSZv--?K5?c4@49Kq6HflZ+;hF-vf9u^aQ_Jsz7-app+RXZ;NHe;~>2
zwm*Ua0&~DGeb8(w5Rrly^ja?ssaYghjWA%*1UsfzfE0hi)h6kGCCN$#5D^g(MC9b+
zKGW0F$F-#JwY;azeRjUi6(!~6A%(KvdjSNXt8C8Acosh{Fhh!I_dk*nA#Zj>iv`8p
zhzEQyxe<?jVg=KW1bNf+xES90@i!s*2d7geX$W+i&H+y$*t(+DZY+K;Hn~)m!b-ET
zM!&1Qv1$Oby!H$r+2P*7#Fde(kpW@>cRVOC0`r)l8;>lTum2Xx|L;pB>136GAQrD%
zxe9(le8&0aDH`RO&AU|**VA#GYr;yCJs}>ym#W4f_TMv@FA4;1kS~hr>fZ{&zrd1z
zKn2ne6!K}R#c#a;>g8ayr7i(4-M$VW!6Ndw9v0|;e84j_ey=;^5F-Q0iD=$P`+pzo
z|DNx_O9?orlZS#?@a<Q&5p8gQVAlgwB&&3+BqYMlyNYOcKK_k1ffx`h0*C~y{|V54
zrze{<U;_gK4)^CqZEM=!3?o6le*0F3j8duJvCP1s`%b)i*JA^oz!!PvKLuqL92DhQ
z$wh({76Bm)5SU0)YgnuuPM{2)ukmto<1qdFxnc3<viJRqSR$X>FK>Ce0MBh91wo;Z
zu^4-t%K2aO;a_|eG8IrXiWn*>3<-gl`@?7X%`#MM*^QnZ9~&FS_wgFksgu!iB$?h}
zD-`n=9gyp6b|4r)WQhP@FiRx<feB3iYxm{uNQZ+uANl`;={?}#?|EHLQIUjMF2JOC
zuNc7^Eln57=CY?Mml7EopKtc?0Pvi(HlyWwOC%(u9NWP^>X9I4uG$yFcjwbuOnXK`
zsrdirY5xi0IFZm^0@?W#ie*nM>f<}x87Thd=rq|aAF3yuPUS<zVp}RJ$7wo?i-#g5
z!ecSz%o%pWeFiYggTev6k?aWLe6auF&+<S3%fe;ZI5#&p2mP6hk}|l;{%Ey!suc<W
zucU88IRH#gbo?KPD;QYCmCpQ!fWLLAzyI_%nEyN;e4vn(RcSQ6rE~*_zcCNU$5g;n
z=TIgZk2`O~IqYxts7TZu#H^Sz#0QMhKdIyYyf`3(<{OrK-<>izSuBn5x}ScuU1?Oq
zlr~E$R>=Hx^$%968}&VnM5SUu{GSj0_gvQ%%BinMtF5hd;itm+?40}iw=oqRoeS3*
zKn4HC;o|aTC}aA-B&uO>RXF|$c=`ZRh{cCaQkUlF|4P9B`%hs7LJDmH_XeKInwlCU
zEUXgRtND-OQ$E0C2naE8-Wv@B)PR=dZgz$f^5E6(pPu?u6#2=cIpB||q~zp6f}s#g
zD~1?xKT!O$w7ONGs|QnxV@(DA?=t`Ujw@V9K_R;Gvx`eT!`WCWz;}Vk#Ts)QOJgrm
zSpzsY+Ur0^pee+-zq^EauqctH{BI}_iGffef&%Qo{}4)yz|~b<y&0fBt+$@e3dB;i
zxCsDVt8^JGa{$%mPb+O{Un3%>U57_TX2dUN)tvqr9!?~~o)p|1N6h~a+{54iWs^}V
zkW$36uwxxPJ$PX5O~V__;*hdV0WL^W6huTI@$vC4Cwjw5Z@@;=0GH~B6B=Pf{twvI
z0UY#}c@NTJHS|Bk`jN;GEmB-eZ1ziL<rzS&D2J^I3JTgx*0Bq`Jz4q2k(88l4uJi^
zE%lLa4yM2>TMudC-1Z0`o@l74r`Xr(Em7stIplBR8clv8G-QPs1E!?PSEpoB=?X{P
z*$^gU;;{$gUM+~g+-G9|D`%c>_PDb64+C)k!4Dzn;nDn437gXnPic1K`PoNGQSl4F
zeJg4Azu$u5^0}`rAq8CkMtzRQ97TJ>sFojQg~Mi%s4fRR5+09BiQb*lh>bN#gx~$a
zQSfgR>wyU?_YJZbI}jr*ASMRULXh6ZvmNh$M>vffj7(}8#ZvX*(aX+yzQ#nd`F8~E
zEHQ`uIvv{(2hcz$SR?<FW?ktheN|do3hQ>ZPTzJE4YV3Ru+)tX4Jr9XPqjYY92Hyd
zD^PH8X)aU%;P&tPaz|o9Z4<d{|KA<%fB)ZDpqxlljEoC6Rx6Da3}@jVEv*2{SUf2#
ziEDtua*#2vn94HndBfo8?hK0Co#ln^oxr&JD=Em|$S8Lb?Hw-tcz1@lLt5Tx$~I75
zQc}Vwd-`6bhzy7b*w>dWq5I3J{r{qEhzP9qpH%lX3lnpf05eMnnEeM5+ExWq;<LbX
zPvLPbm1?`3upr_7e|&v)T$J0ou#|KQ0)jM1cXuctsnpQjEhR0|BGM_{-Hmh!3<FX_
zgLESdo!^V@eeXW^ob&xT{1)q7YdzhbCzeKO6dtA8b!fHu2?GNI)y4WUIm=NzeLG0>
z?hiE#2!KAo^{7khU+?w%7YQC*kt=O~)R!Z(MO7KRMm?|nIzhK5Kcf|1=<$e9cWS?W
z{b?{fP=D>Iq79>*dE6TGbLf;bJil_(8+P+2%$~*=8xNAH>?s`K=ekAb5hjZVN%>FK
z<xeLrZf!r1Wn*JwHnu8b$1P*51YZuYp2Yr{7WWG4S8|YFt1ByrkyR%BDaYBCad&s=
zNAo7!{idBs3~RdIf!*z?08-}jU$y_YSNfd`1rVCc!aT0pHqrDz)KUdduk=<^{s-gc
zNCsQB#t!4ocgx`y$e1L#^#_wBPkVZL3O$lX>!ZyMo=1?ly}FrSAA0a?f54?c1hMx)
z;r@dFhzJ!|QHipz&CaI!RXaswl?SBKSQNW~La@lhuQ-Pw5JJdB8d)rNt*nVc%nx^>
zOOkQC<To)LU{&c0O9pm!m9OjEzqdVokdCJxBZavBBy#;zLM)TO)9{a3i>Rxs`}3yc
z*vx}<*z}s8yj4|wnO9N4Ht#a7=y*D*SrQ>PTKE3QnCI|C6~M8KKFZn23NiEYYCyfW
zMzer`3v+I0lCQ5Xr_P~?xq1E<WYo()r8&Qz09XKf5(5tTcLoDTk1H!HJ6b2~c~Zz~
zkO2ndlHuj?IwSfg@tHasO(J%~M+zz2ax4YB4->#(XLt`Bv*h!vv6@7RB``QpbuP*f
z9BbMWJk|9(3i_eofl>Z<cJA%{tvpZTBDchmLu%GSyWN=P!&hOC>cRDIFi5~+t5?Zo
zMf)8I8X6kV74(g&Dgr=Un&HEUCTemUaZk26`T2=F&-RMyD;z#j=~*M7MA2y{vg+*&
zB>*}ofFhYx%K>idm`~wfk_A7cS&TkGA?kL7?JqvD@b7<cKL3rM9fWXrXW!0dZ3LH$
zYs`n==7`LmSvKSCbLAdgz7=BP^vIQs`|;z)?22ce-_4QCC>rK~`wTdlYqvL6r~w1<
zGc@~5(2kgCO`V(Yfop<fVf_CALqRwwsHpy;K37}6Kvl*;tcNVbc;eq9a|B!u=4Wyw
zfuz(JKQ5MNF|G&qk|CmS*n_4TMhE+?bN-W(fb>^6#9H5`!XaS((a+H=DWx;}%VD6#
zlrM8DC8n#ZOV~P};qo{d*hHHT0JhD-W`^c(R`WkP=7Tn(7$|OROhrSK`io7s5eKMk
zO|g8n$hFrQfNWRW3nXDsa6`XYBnaaJr?EtR=!r_3`cfa^-^hYn9`S{7ZUP!Q`cELd
zj_}TNNt=P5UdAv}&rer3HMF>hW%Uozr;9(RgyPX2|HSsc)S~6b@PPinZrp>SH!?Ay
zM#0rJB@0xw`~q03IH068dmlUS0+qH?gsQkd5rHGT2ht*xIZXgVgL+vHh1sBOzJ;!*
z#^@g~{eW93VK^Aa5EUPfWMyS#y#SPQQ_#^p2285lgt`+%tAXfxT_D71U$mL-#p<#>
z_VTxha4zVL`5q099K%X`m%;o$(#We0SHw@@;Xi>I9;8n_F9t?Nu+1T<s0%Ibi7#2s
zWaq|!I=qg2#jh?l3Q9`B#P=hM9vyOTO#N=`j0XgmnFWx;VhFU@;j)dTMVztx#?#!*
zJ4>IQfGwtklzTsHt9?d%Nwb-{ikE<a&b$Y?zqPLSEcWtTfgC`<Z7Ve{uCBcf=PvH8
zzK4@D7IR~!GAJl;lsNM6#;=LxQ{E=x;J{0YKm3UTG4R8~4+=DRpujx`$dFO>Y#u2@
zX5wrEy2Ek1AI!h7R!F4+dUxg>t@dA|_GZ%ZzFYg=LmYadhJxZBNJBwlg6c7wJN~cR
ziKEa^`@ak)WT1?8wnae3%8gYP71+M9-Ct_Y5WV>&W%k<oOOyF<ipzp46c;fV@Ao0{
z<irt8^5isk2>;LF#8ISW4FTo89C9w?wkNxp>WpP(YAOvf@iq@J;6dr7Amx&ZXH?%h
z9%9oJodUarp+8*gb-)LdzSjZ86AXXd@qaJ;0?r>WQ^$ZhwpT!B%9_csMkkYX=MrE7
zcKwO;T(X#-s1Go-*mu=tG}HgML<5i*($8W}G=U2v(o%e^LKJZtv-_W?`)k{nuN^?}
zJMPt_KLWBXf})&UmhbJ=8zm(y^<uRFH|9n6dWR*YC2v@S9g@<*X1(3q7*O6VlboC^
zC|CdRc>Ztcfvw-lFk}7$EPw5tO<n1Js834@u+y&wNIcdPnd3@A5zQ{!EAGsTcv$43
z3bFLc`GDBR(a3apjB>?Jh;mEwdz--+;1LF6>T7BL?GZww#3dx)eC{qcA4c**W6E?I
zG$ixhb5}4kGEy<W0P1YTMgc0ny~;>Pcm*{2D9~^9yd;Z7e7Lx{77k7)NJ}Mw_YeB~
z@6+PI)6!IWU%tCKn{%*QYV#@Qsk5DlxjNaFA`^7U1c(+YY!;6K8v)8Y#`b1v5YC?F
z#{wcD2S^!7P;ba3`~9rsaJZi@DWiXX>Nk4+y}!6O9>3?w3m_mARQZm!wrU<;ff+Dy
z%4#c%)k`)K@+QWnDhw(DjpP%UQK#Fr>#Q04i4foaL9ca10KL|I9_RY}U(f}L2O_%d
zO-ta@DP#iWuaB8g%c=lHS@kQgT_J$PYVE$aA3SnIKB#j6*(b8QQ)SeawVh4AnU87)
z0AP=0N(8(R5fM@0m3#VtxN!`?>EjvftrSq=So{GsWtPO{U=C~W%Rh-uybJfk5{G4^
z1U~_zT7`a^p?%SPHiuDQ-z>lq;wUg?jlS|Z<O57PQ&9?K3J|J-M?LsOKt}-y*q{U@
z4lCT|d|wl}y-18QN~obiIUHqF4`OP`Rb$zsxSsCBEYt@A_yd~EE}V|ycrFV_E}(bg
z)HZgZjxHB#*D-d^k6j|e5v8sR-B&i7Ho|@6OL74;;k074B0PJJ0eZwPDhlVcN_M$?
zcHk4t7_u=hQD_+9JU}!%$+5n_DeN!SAqbD7`!JjH@^ZGx*}^40F7wHv*iRu0c#hHp
z1__inLb&AJIKr7vniVL0jEe$^xSAC3$CZWR^g6+e|G>(CN6bj|wlmq@QJrhJem|{a
zh$jOHg1CI_(oy})*=OPaivIcm?E3nvV{efGq6xvK?vN}K1#lp>j#yTyfAS1;xC^+U
z;bHZUocx0!qkG?@saXZ2=qJnd=I{bLi^LF3@BjqHk7`oV!dG5AlV(r&wyE)o4pH_w
z;XB-aAwEPZobQn!fc<OpjBUGP+<pHQGRaDd;(tsBJk7Bv!oYYNN?**T?x1Yo2Xf#f
z7ykigV?F?fj#;MZ8^DpCAg8C7Y^MCjrT+&^zcE~;9#NWIqyAeS&%gftZ&(70{P`&X
zHo-4|JBIn+*Hk}nsp@r>vVY*g-z4-GJ@udhSlT-f7G?i0H~yC&aV!s*%;I3B_)k&s
zFB?%PJs^jYQlN{}e_fMliyCTJYU?3y^M8fJ|9;I$5+F{ecT~C0{`(p;d5TusudzVE
zIL-@sc%TD}*-Ywx;A=1N;W?oU_+WzU=qK1AXdG{ebN@+s|H4l`-~h<omjox3{hI~L
zqCO!Y_yGjpUjglF3ijt3@Y{GWNVr1*_Jwby9%F!VfjeDi^Aun|y|2kdz4^_|&9$%b
zaN*753?ZokwLrg`NmC6C!qdYgv6YSWlrKbDl7vyP)TjbQL6!%g7gj#N*GRb)Ll=bx
z%O7ZB5GQ)Mh7ZMpmS{$5H`przUR+8ZyV(gIWh+`q3b$SY%~61{*(!d1#>Z-pWYT_f
zjDCCGexC>E4x`m(LoaxE;yup~6mPFibLQ+@BCIEi&7KVbewOVzsD90uzTd5Dv3_fF
zUF3Jb4Z980=huuKwBP#*9yG3^NOl7~Y*GPztjt6(COTRIpx^>Pkskx7MP2NqN?b=5
zp^*@02U?-b_U)HsW~p549pIE5%S+TR?o(}gXExjJ=O-D-GR=c)Y1mlb?6yy`RhgSe
z=`VJ>t;}sTMl-nrR3Z}rBMAY0dCUt6WSU9hKqxSt@hU8oOny09TDre;PZ9B|f4x1L
zg%Cj|q|s|~2^R3aVE3Plrj}7#2*rLb4C;-&Y_}Y7=H!a5`h&{ir1&2g^8UymVf^3T
z;kJOgs?1*4s1$bm3_BoKH>?1uZIhu<u3L2VMnz@W2rjw+a2)PL^7svw`ay!-4(7L;
zjt7}UfZ4L;K983GPVbe#s%On~)h~AUV{oMF#T-W~Y|-mb%R>d*CazGbkZHoB`v~B@
z9^71d1<oyiC{_kUR@oIOa}!YO+|A{ieFy<<#GIukkbDVnVwN2RI@?i<03r?V-TcwX
zbtIBFp|vN-(LPO#FiA$;E*I*;ea<@12KHJAXKUM<g#xG6UTwPCDJc`K^4<`>T#MCs
z)|h?>^mQpoGyNj%nI4-Q^!YC$T*>%g`T0oa)59CAe0>CVmki30i5#Pj6qbC@;M##)
z*sSWri;EC)Us*s~QaSyF`1!%Zljji+$nghP&UW}ywtPUYY1sjq#P?5$W{BE?n`!Rp
zdE2;!`#|>XC__PNHdvAaD-aOU+B06KJ7&GZp&q`O1Cym%T&~j!d@!L^W^rnMWxYm6
z%E=<teh<*T7$Bbp)zry*k}^--fC$rWZti>v2EvhYuK(9n)Pf~oo_8K0i*{fv&%tre
z(4m-yA<)lQirKNcIQ-0$yTV_^Rod$?h0h_K(*_F6y0QRNhli=qX+ePLX4N|^svY)4
zmVbma30h+a*1$V&`h=qpY=6T9k3gLBhq`I70A@uCX^Kfl^GB0=ly8z>w1UYuFJ6%D
zS)6iWJ6jtD7%SpHE_qt-WB4a)PAQ1m#Kuo9fre9MDL^}_mkw>0`E?c4v(m`d4+<7A
zv3gs|tl4L;s^3<!idC-}hab2?1R$OB74WKFPJi>@>O_3J5rL9#2u|fM4(Pp4#;4$l
z)FOmuOERJ&6?6$DWCmp>S*g<3UIX74PvS87WOHf<G6}r{Qj@RnKA99!&mfu5b(<#X
zraN|_^43_Q&>gg0+waZ;ei4z^9i{lz(DJez)P{(}CBM>+<W+wLZg5@>>IRS9BHR4V
zr?W+~#aKgD!2ES@-}!-k=WCa@yQImSAyC?@fYXr-cV6}h2MjBn(Fk-JA`1GW<Z}Rw
zn3-eb>xnjs8WB8%?fzGT%Ssr%_G<g>+1&QkZbbo*`Yx3xkpt&jMNvB2?8+npOk-zE
zQ#9X7b%taCDYr@a${FQ1rmcW+utP*A^NWGYbw};$_IwHTBavm%$<~hm_A0Bf+_1q0
zvmrux#{fZ>j<vhy-E!3y+mAVj@<|xOsRF7Nl$K93Gf<ND?)M%1YQ7l3!})2Aewb}^
z$~i7T#AN*JKg?d{{qsvdV@EX5q0sZ>hfEobf;0z&QN6gZ7ErRsKENTMcrT-u0{pI+
z9Otuylqt}sR70y_0CV~$>9*kp2YrET$W#jPw2Ry&(YSAo==B~~cttXH7v6qGze1!m
z4E}~v_Zo14h7Dha4s&kj0&|~dgGTQH+_1Y4u!S=rA~(g`F!z2k_feqHlGX9r!0Ya{
z@|J_QqTx~Go6m3iP9F*fKIW5s4IV>!s+)OJLK%q#6bqnP(f#5Aj!XUna7YxVCQGSe
zo4xu>lvQ(mglwa0;3<i{<cQ-~Z#_B4h<}J{iEkYtc|w2zeu!yklOzg?%rDU&hg?7N
zcU-CPyDb^p3Unk4H|tQQtk>>F{<sP>Q&o4D(hIPSDF_7r8c9q~FZX`=v*D9-K^^nY
z5T=-=_Q^*w;N1hDImFv@+KZEq-PeG6%4nbt^gw&l{$?#`iG`O(t*Zy<Et0xSKSb=P
z*LE@{k2tI_f#5$iK%Y@s&cnB4XBcpeUw?5MfGWznW%KkDumET3QKTEsD;*CQn(t|w
z+>?Ef@aLhaoloYIx@uyCox!}0%0EVExyUvjjTAYGElR&D3--E|IsV!ugTC*D$$Zq(
zA%n#p9Q+H2a49G1zC$&$u+ZstN#8VWbk_=q4gHIJ>EV1qa=*>e9u_!4bI_gEvgW6t
z7rs7bS%L8(hZE@q8NS-<M*czZi-5I;jh<WTLs(uU4A^g~Z4D}r{Yb?oVdl!W9$N1=
zQu>)K>aFs>9s!x;3nU2WTEaw$9=iP=MsPz0PtlTGkx3%eoty&c&Fh;zV)nq<X8>2w
z8v&&8nvu+pDJM5K2d3Q(<j+V_^}@`i)q^z&Nv?Y%es?wT_ODpmE{vJ5mGy_E7$NAS
zp#ILFAjT<C^w^u@7TV<$Bgz7GC0H-v_HyYsh`p%T5EGwi_%rnqKsbfR%gx=VSwn&i
z%+r;wAwj4b`h>+Gr<(cp`&);S&#~>v%Kc7cdyB1ejIoxuQ-n4A%jeq|(Kn)RcvF|Y
z1E60=?ePO#b{c-=O&cU7Ld=1um0`863NWaSk55e$i{bM$=*_JT<`WsP&2U*{smG4L
z1KT(>u{=?+PQ-EvgL%5<a(2w4s!XjYCPWM|X-4EB?;iP%WY{}2hb>?EB`;aS;LCT|
zToqOm1G70AA`n@*1HE7Sh5f%m#BMsZ>So*bs)tI2e<2h}$)yW4W7#^TyOLi>g%ik-
zp!W=y!mUQ@m;BVdkG{(Xy|>$KnS-I-T&xE1V8MiK9z*Q1ms(0YUrYbd5o10+n)pup
zTlrf_cvNv^*%}9fT0?!Sd7~5?dr~ME$!)^5%+lD_lh~;$=>l1lf!K{5Ja?Q4OI_3{
zB{^LQP743ryMvmu;9_j7tYH&J!u=<;zpSGf+3wISgf%u+P%8S&>-^>1Y5X-2Y6m}}
zr#c8B*eq*#uoIrC=2!oE9bbQfEqc+RrM6#Vz|WMS${u_Mc-<YyLSP<K&DCc=KZ~Vy
zq<Cr&56{`X3keg04-BxEMAajNbZ{u4Fu0IF$mrV5TSL2Ngu4I(S)}xh={j^Bd?PDG
zUhCMsRsn07G(sC!GeJEe|N2r#0fawTvH1W<{s{-fE<Ig~6#9CIb7tiB5`&GRhXVaR
zKNe+r%{<UXW!1<|U1y=0)wyKX6>Dn0x!ZN!Rt6emB3Rz=ZKYIwzh*>q*L_~=X~o*E
zkr=2L<7=tcv`kLfXRdbp5FTCiWZ6Tb4W8i?84ZI4svnCjl`ldrg?`4<FBG3w$~Ez5
zOuer@j$2F4VKQ=dDY0k21~jnEfx*G*F@4`lvoxM%-V__2iPOkFs$0dXzVb;2pSy)}
zktv1xKI3!?y*^=jL6+!4y(vRlsz3INoCHNYxzZoo+DX2HJB(xa1dK(_@AzRkR}1+L
zuPobKi>A^s1SBPQS>L>#pre)!=p;$+sicMBXp)+%&M-Sok4tMHZ~Koj&dR!(xbYMU
zS(~@0c8L`5ql3kg<}gXPWqXZMtbze%Iy;CgbIbnb<3K!?MY;!F70?kX$!{as!ljz?
z$GFJ@)Fr<BDt><g8xhlyn{`Nv$DuM#A?YlQqnGlf1&ek@k|=QEf?f8I1>M<A#w9ZN
zTE*<=`ORjF&y7~hQ$BT8@!WkxN`kXmGXIXurJFQ+yrz|`m}2HiZj?QsO|U^}rV(y~
zl<((=g6-$@kethjZt9<NJp346H<lRkm6xlx4o+2_Y<Y7ZP^#5#m*uLJG|&Y*CI~tQ
zaLi-3_>`;Ti8ELc@tdSEH;8!roS7f+0aA*64OtRaK<vcv56T!c#ew30ZM0-_$4>p4
z#g@x&NwdKZQye@#HW7i%T|Z=qCJC+R<LsPQ3?=Dox`ue6gAW|{`LFwCWe2%qkd6@j
z3<M2HQ5qwY+vZfDPYt}YZmx~OohUk#seLU_O0DFXJJg*BjYomV>dS9e<xI~eG{?M%
zc2J(Yes>78m2b!&$(bR%AzcxE5TF&5TzZ?myrW#m{iD3#GS?1~&CgsA3jI?}`l6s$
zrD>0%Ez8ww4hyF|ZmG+1+Zl8<8(E$9lYBQ6+P^}4X;xd&ng0-Ypg10`EZR{zh9qFS
z=F&XkdZy|eLXTFyYAPmF&o;}BD*d78@lyFDc`ZU_9sY~TN4?!83ZCz)*ZeP^qqmn<
zD=9K1{o3}N(TuZ+2NdG;_>fx<55qR&$8J*&Wc@^0WFL-JB7Fuy{i9gi6gX7G*vGJ*
z1r2O;<0w+M4^|1!>91$ru~=BUR;r8+Is;WoI%Zi~Nc(IJ9c^Dqz0ExwKRiybH~6Y}
zYzlte&0#mSrNK9rnU=Hr;VgV=xr>8-6X@FYbRb>Rz-N*%pqiZx{fVPul>xcg@t`D!
z*_ThSvbjJj{Esu(7VSnmMKF_+k=TKZ+pwADM|J{w!AL~)CSlbzzPFw>7)0Sk`)j09
zjqM|b?YM-X_X_z+_$`2<2i?K0)p4|US^%Px^RF$)EvF8jKwn(b)_gg#Zq#Uyy1gs=
z{Hn)eVf&h>I*Bg5u?_UzA>LF>S%W;2HW+6R12?7c>Z%FIJ`qvkZM;v0^KkLK`2u2J
z3)^^Ze(ZP9v<arOJ&KucQ7C(RGBZ3uM3?I+JZ(M2UqI`zVTc1ctDB)ICtJwpU2njg
zopwr(bSzhYg6($uY_i0%v7KQ&aB9ZkuF)hSEGSe1f5Stm&nuBfCG3ygE<T2Xvw3}!
zKqUcy_JU?PU*hMKYN<jI0ykOZTO)h>@~iP}$87TNa9qm9s94iLg&^THay-k-1R7fI
zsi7}NNR9Ey5XJ`7)sh}brwVTte-zS@<buNe+=o<$-<TKS>v2+x#40n5+ANizD#b9W
zbE^6CSX}Pn`P$)3SGY}>;K}}+rc8W}H(_d_Ph8L$8a$z-p);F&4H6WEGz=MSqYkc2
zSk*>~O+0gG=MLy7lq*GzLJ|b|&?dzc8YJ+V30s@WUcx|#j^1)9*{AP)W>p~%LRD`a
ziX9o5!ajNK_P0=}02bVU0peTe&2ZJSAlmsk@eUvMzDR6Q(PRMc@Ge}q{<5z>?D0Mk
z*|GwepFLc=Dj68Ie|8PM1eXmUn1P7Q$;`RrnS6nwczks63DNe5S;G8L=(E}`myRwh
z$fVBjH7+3noJB0=wZeGs<P<n^38#Dp;NzplTyu^>OU*w3&^aoPW&yT`brpVVMZ?CW
zL`qv^;#zWmXXO_B!LZ<RdO$n~7wi=|Ba;T5f8|^j+<fPH8-0_XNf2z|j|Ex6;2v`s
zJ<t8*csOQ~Q1+L$h5cYGjWoqYqri#5D;Xiuy$O4g8vC>%?1_G#Vht^dX60-mgQNeb
z(Z#QyzEU#JOBIMdp(7Ftih}~wmt7op@xLVdxGTMOA}t{f#%C7@2{Yzjb(#uMUjXCC
zzBk$U;ZzVtCG;E`Qpy4}sq+RcyhV1t@h1ZM%xTuk-C7l-<$uaiN?P3d07Jm%Aya@u
z)UZV-r05vyZ1T+EjU4ZH6&r5rMjT`@3{p+1LPEc|m3R?qIAw(<?1&+$EK<}XipXv5
zyLlQuQ0!s9pg|}ta`YU`p;4i~K*uk>M1AX%aw?FVB?{B-@U7gHFhKu#r}QR+;XUv5
z%GtGyuLb*1C0)KN5j5B%?Q1*IiE_oxC-^IE_G`PTAmNMKEp<>;r0;6V7~I~;g=-4K
z_aFUWUKi1ZvbGQ-Bt^2(U=M@IZBHBhCE4(^#dWtONgvR*Dl&?MM;1<<O*#V2R@Kh8
z>BpWM%R~n{`4p(<jbN|>>Dzhr!29mvIGo06-fX36yPPJC;kFjNd&^9kc7{0j#TEtC
z_bec+sYuf%cmJT@wtawj_K53BK=uhd;54Fx`U8*y#H@Fx{Y-Tpj|Ybk_{*7HoAEU1
zYck%U6?u_Bd2_>%+n$og+L9dJGxzQH*J621ND@e2{Xku4&hJd8(8WYNsjR0W8jCp0
z5}=m~KS?TlWiFi2foVY+v(n}*_Nz`zyC?F9VitSg#RLL;CEi#y{PZ_Due4J1Mi1Bn
z&W23$JNpx`l5Qf1I3)KaojWHkP`G_nuRjcT#zo-~h_7~~?okgv2{tl7cJ3-42bW!T
zA=+VaRjS(CJk{nJW$kn|nhM+PAkNe)3^E=~^=G5Fz%_=w`bge<zT{^>(3wk0LZBpp
z*k}EiH><|&C)=mt`Osl-DR)^`4nEihE=5@TB0rLTaEcT;kR}Pdi!*#UUOKYRXRMEI
zi3~*u+(N-2`o);T_~rhD#|8lS^UKuJEy?^Ti^8RL)|>{&u2Mtf>bKDV#X^hcT>YPy
zD7>MRNnOOeL8?|)VwTGi>^V|E-q8MYv`*{_c1u*3WqCz|!xuSqB?`RJi`~oNI9;RS
zlp5!(4cCN-hu>5_PS*OGQ*^EoZ*w7wKK6JiU!qTj>UM|*Gz!)?`KeoCzO+z&Z|SSL
z;R-HEnoZC7B@<#JhkOB*c05Bkmn8$6gn1v1tw#S%khpMncx(@hl!msWfpO>_c_oan
z5-saF!p;5GqYMRGx3vfVkR4NfClt%iN^=JE-6Y;D<hr@AZvCmtF8{3IKJxA~V2c_G
z)te6B?IvvtF^v{m3p3QkKQ!zuI~M#%z<WA9P28@ep;HR#>mt_CE<Bp%e0ul+$*;Fz
zRw9*$sI*kL>hxFOlpqA(exy{ZX5uK~8K3s{7Cm}voCB?1Qjl1E{L=d>c%Sdx@ccSj
z7srx@l&Q$RdCT&j=+o+j_bznSI~zT^Ov$<hf+{#*k#$0)t3>!am`@az6qpO&`a(gD
zo5Vm0raE$8fu^)6KAleUcC12!KP+#AOyk=G+^Xr%FRmDO1vsft5}T}TszJ@T?Z}Y2
zjfpBi@trH~_qeTI9u<7N<Pk;!R==`u+2@^OPX%{f`UGD^06C()E5We-aDhSs*_rvN
z?yl!^RX{dl$(<pOx=(pk?`a9bRnJEpY;;nWnAu?1bpye2njw@7oxD_Z*^}><psOPJ
zfZQfuYqB~D`numi7n#@Wq;j-JF#ph~k!{PfGN|GuBH_;a@^8nl=Q#EwnZ~@5JQRg|
zlD6-*?Eph*Lj?0YCJdi`$2wk2{AOynYDIfIi)JJh2&n3ub}1)&jEp%EzSr__yhTF$
zp<9ym8#Nj$zLo+p;i6`6mukD$3vXwtq)h>>Lp|%v<BSJtm+1H=L&++EA}udoo^ClH
zCqNnX2odkn$bW#&Mt(+rkYk3OjQZ<pH=?YNV1E$@nR$!AzPq4%-;gk=W(`ArnIbPj
zHLCtJ&A8wf)Eu1;Cbl&WrATYUKv{2yW=sv86;L|g5|129OWOVJ{J~B3db0v%ZGi40
z8PQ)xF3UCd!^c=m&pI{#5n4ZmBPacxt-19nZvTv5bja;`A!<fBx{ksWM->!ql|51l
z6bLg%ivX_{;wx3)c1VyTcvZSQo>Hqhrl|P(>vf_Bkm+aZ;kp1}vGFXTa%eqGh!-2p
zhTHQS7(}4INLsEw%L=LME_Ioxpl?%>+2Ri#5U^qJbhJzI`KivPF7`3a0cFZ1d5E<|
z0h=eQ9<mhb>>pt1o6(sBhZV?T{(N|}srN9Nr}zmF4%1rgUBRT>0J;FI8tuQ0bbF2E
zf1Ld?ocRt?)dXl$;NECMXxjG0b0yfYA*;R<5P{YTaTG~e?K&LX_Z*k>n!>1FAAvy5
zI)1ingY}^O8_vaKutmIWk<UCnWo?f?C7tfpcQ?5kNnpYB1FlICzvFoR)X&@PntC!1
zSXT&HQCbd}y{{=K#xKG3X&Bi6qqh;#7!jVDuek~b#7e)be<X${>GbhV+>|pXNG#^(
z;<~VAH5(9Ay~JZbd>JZ_1OEdrs)Szq-CHFTnn(W9z94Xh*wWd`K52Lpwm;_A1}%%g
z+wti^<Los;iYSg<r|_C3W}P>xEt`OcrGbpgJ%z_+Lz|B-69orRpiV7yUkU~{O9}YX
zYz_K3!g%T^Qth^UQ2c=azn7kZUDYfVUAAE493j53!p?BVUBkx&j@?dEJ>^=!DX60(
z(E2)8i*H4>K&fv18t6xxs#WTPLRiI^GLx@Esx5$m^L}d;LNM);_uyHzTPcGHHGB_o
z9AaqzxeCIPuC<xQik#NI`6?O(=?AHtv%INS!lW%zw>%SzS+Zzs$8~#6eym%WoH2vx
z>cBA)%Y`-EU^SjUGZ=VvJI4uAs@%nrbY0jO=3BC5vbI*f+cmha{$lh}5rxS`pn*k0
zjvGPf6g!37wbFpMM3&~fQUzM8UWCgq&^pAB>i$gZLi|ylRP6|<rE*nRb1&BU+s{yz
zEo|~F>{)C=swR!@);sD;#j1fK9y&f>K}>Ry%+3g$9bx+JR;FozSd)iXt_YkD+t^(7
zp?_@>Ga!Z&m@VG+Q6lQ1Y=s0aHk*dc(Im}n`wBH&e8R*;vAh(2hD_&gZrDFqUkzCm
zWJ45F`uRj53M|JMNFvBjkG7|vO@2IQoDII~x4r#9NTd+!@<9UwY%tv(&q999c$^eF
z@7SNS>uNtE7J;m-v_YfI^)iDZ>PNmRq?*ed>`1^YK@lvMZWWw6lzrdq>x^!P`Rl=j
z7tb5dt2w?tt(l<yMN|8vGK0(Kd%det+jFlyjyb1IEO5W!@nean;PzKvNVol81<ml;
zu@2oOl)4mnWN00V-5p_LU&~e>OEMv)h-~yID}SNXowVybIR?_JYR;m+RP&4NVaxI0
z?s*H*cd$3T?s;S<IE)Al8Yjgy`LuRU{5d%m8!>_(yOEHBJ4hhgO20tSaQGdL_{vp}
zYsGa0EYijb$lN#AAi&-{cOXP_Tlm?KIoETmgzRQ&pSQ~ITVigwWcoa*tBRaQM-=6F
z(Ho{H-z}2}=U{oVoSr!+r9W?R+D5pz!<pxU4X9j5Mw1zLC-id;YLRf{Z!@d%>(ov`
z**+WMs#?&9eIO2!U2-y)BKgj7iloz*I2^yL^)En6R62aI0a~E@j^OCmL30#e{8%@<
zl}+%{%yg#RegHN$985H*5s?yy#sA5ZwQ$*w027vz{Xp+j|7KuhA-H?i$eF>|S-6hz
z`B#6?c2#KQtB>m_U)xLZZDKCe(Ji3NhHp#oyQ+AV18<LesNk^beo~N>WL43TRN=@7
zq=p1ssKBjPQqhyj)g;F=h6KUkQFi!qr^djfCw5rBa^R+JQFjOkC==O1mdZX$P%(ok
z&j#`bt19T~QgXS3l)d8-eD@Jk6(4VZVk%cDd0m}=bVQRT=zgF8YEu3v<PW+N)gqDv
z3Ych8*~maIiqD+Nai(uHSbDM|zv`sV<6mo0@rU&D^wN247`4CWZ})4L<WTBp1iFEO
z5abtD9kJhuJ_FPJOd>at7Ug%sPS8wb+V=w0p0o0Y_OBo@=W4Wb@ZVY(WgNKaI>>vL
zJ$|Ok-(CcWjZYvOP4$2vl&NyP5)I^Dv?5T)hah7(%}I=@dQyCN;9+}WKEQ}+ozp;L
zWgyou!&2ik2Vy%UY6|RdG`B9ZMqVI)z$i$*RM&Hmp#aCm1y{r821w<J|0UHfTt$f7
zda)8-UtKlpKZ*qZgp9oiqc)}pLOnM|`RFItwanWtBVBw@7QsiwDF{vKQ^cu7>ZwQ6
zyveL-O0s2=6d3SFj%C#wG(JE`s<@$)K{mtp%8E!Nk@<JL7l@NPr&X_~fy?sfVaukr
z4}XNCRB=KTUxq6~Mm)>Nzf0ww{uVd=rk+c{{CZSl9FD|ov^q-V3^CKE8{HP?D|vC>
zjKWkM{$8zqpmDh=O;ssM&rqH9VoT-#Goa1EJ;dn6Iq^~K5u(7<iGK$%-{Lo(PU*z=
zfifk!Xk2bCju2tRV`!r{qi`Eu>;>___S2EXimCi>k{`9yePM%q>!Pn><7nuPp+g+}
zEH12DvNsn2SUYwRT8JiuXn&jIF?cwtgES&loXnJu;Is9a0h58^BO99=PT37z=fhYZ
zmN<b`+C*JRAn7RYQ)t>7CUO}|MEFKv%t?Z^*IN%q_-~m3cu`e3p4!bWMaM^v@8!P5
z6el%4mZ6s!N)q?bF98xO3mzP&Bu866a>AZERi6EE28KQbLhfOST+tV|Kw8jBh7_?s
z4vMV!b3(Wu-+w>BKZEXgNkBpb-o;w47PL2x6QUIA@;f;Vc&LA_`tu{x7Dz8BwdI#*
z`U9H(w8-hzL+XH=WUkPEUt=Z(tTF4>(#Czj$3I~CKVJ*wg0HssPEEtv{(=)q>(61*
z*HbN6B>!)Vah@WYmg7GypkxrFEO|@UYZWK)_kO?VD{aPTv~PcP2bTSnyYvgsQuXF%
z<^FWl$G@E4fseur6<FbaBgSWxP#mgP6x5~p_DWcj#KK9YA6KytTH>DEOUwOr(wECF
zkutJ>e*vd6Nf+Va2L2#i97^d@*;ks%8DaRSlANge@FgI8_*vsW4q3^Lv=733^G&kF
z4+ei`HZI_)A=v*s^d5)=z94|dk(9-OKaw^)UmG}@AlnXqSVVDv^1VNxQHXYo^7rAI
zZ~%0A*U1`z24ol6BAR0nQ~9P2Ugk>bU>MxfzDMQfA$rLrS&jiLW)y^L6z+h{Vi+q~
zjYT#7{-iM;fC|0Bhn&{H0%L^^hQO$&`$Py>Drt_`kAh=^6b*Ub0Z-!pNnZRQg5Z39
z==<*=r9Vn2gBb;94C^0sK$Q{KFgQu)q(?q#O>j)Cb^!tZ@|J4(8@b?NV%|il8q=S3
zP6`i5;QcQ5A;*N~G2Etn9V}0X<5hH0>yxQ4kHuW*zrvkD{~>Qh9};--cixKlXB7UR
zI@ib8U)~JAjd-}i|00SkD?AmEd^wCE2Y^Z@DFC%>(oAH_F%MRF(^%7o*8*}oG7(eB
z(bk&YNU$LSL-&CH@1UUg$bk?n{a5g{3WcAZKWx%#`!AF4e_#r~u1L}PO^9M2NUBot
zM5H^aUNiqbFu>tX``07<^CYqWrOACCCrnHu>;&ni6K==hgkt(rN(E0d9={i^_nE<k
z4^w&sIoA}sspR>*5KFIf^obM~i{Nr^Xc{;O$}92oXPsN$IVht*03OGJHks1BnDXO}
zyxnpg9-a;nt^h|;<F!KQxJH&B1JpD~aDfx_=Z1ft#2@A1<={av>i<R>zu(~jlRO@l
zctG+#|Bdtiht?j}zynVj{wTqe;GYlu=M!*$z9;+q;nmZf8L0n1RQo|3t>P{H(8S9}
z3e{--(o|6~F~+;)H}iJ<#`UnY0ND0Boe1JNM@GE6ySTtGG5kMtWeNW-a)QQ`2@&rh
zr3~--rdRdwr3rI7B>3dzf4x>F7$rAROMWcsH??4)06FdhJ1+sB0YTzlK}-Ofr8~Tz
z2a_}ivq|B`to{L9)b|I?@w<ic6)PeYO{T%e)2XsX-^)pz2H~Ii+iuT&FO1r$fD)(r
zu~7}?S*f6AMO%91^wQZ;D~$j+s%C6R8)b_qVP+xAjP1zhugTymaAPw4SfjnXLqNQH
z{q{Vz2JZw%%`Ir^S+Snaysbfj(K9;(7az}Og^-x3NY91Y(S3nk_k&&UtoqJb6m`P>
z96P?$<{{3=XUJ*!hh#rbWD-$B!aW=$79gCETgTbRm(N9lWp_WB`7K;6Czzjc%%0`2
zSk#j#JH-O?G@zAA;jS5qUpDH>#!q>t_7h(D_!GSpdaReRnBv2`%e`uzuHsaq&vn4O
zS-RA82zEFS+I2mkuJA}pHpAtsK!qh81T3cX8{@j~TFA}4D^We4+)t_zab99+FCPLI
zjK8jStzVyqy0+BqCgj6HYFurGScXf7zNN$Ki3$1@-XYmAsc9{|YSgjNf%xb}>a^Hf
z3HtHtG}O<Jft#~`>W=xQ?DyN~dVlWSO^)_O^(Vq{oL!L7p|ua*Kwz96euLgAxe$kN
zN~@yNtZ30X4dr{k$pPg}aXF)P&{_$X!5R0Fz^xVNeB+j6B9@|8gBjaeQy$uPz)WiF
z_iH)!1ubo5uMg-OncbFCvdNg0=k5zU$EW+No-H8_<|rZeVFI@=CSzaGV?wfO<1lI(
z36SS3`$EycRe)E}8Ogx!rJ8uVLb`b!!LF>8Zfx|)57PFU)Qz7CY!N=gx=^zH%Zc@&
zcQ%~hgRP}^tL1lA`#YDS{98Hu&(=ZEs)3wZt)yG1kCVN83pV6z@SWJ`1$EP%D;Zq@
zC|yd=k6#xo8W_8jjBF>+|D~2-j_!>cw#C8LIo}8@o~ObmH)U_F>F26xpW_z=rH!iU
zP?>j%*<!S<tZ61YT$u<29-l1F4w=$I2JMz2<otZ&hi#Wzms-*)K+YV<hkMFa^=9=t
zvqvOlE%@yxZ_zwn@DR*B8MKDRa*nGqa8XCpm!-%MZ!_E^z9PP{*JWUdH&;6K{lFH{
z=1R^kdrBE`9n<O8e$QFNof6gv0mSR*bd?D;Ya$8~KpZF*a#uiu4w_|pqH)QrS9<W!
zM!TwWP@E*SPH%JTbH7U3k~H1beFD3_Y!S86xgMftPuuM*$Pbs=bOtwO7S$}4qDXT6
zlqh@Z(!Ap>h@A`=e@x}IwJN@vPbBduwQ|z&pXIjUo|Ew`z538R>r(Qnh+&)A@pXY2
z%#Dg+#qljf{Np354%F6d%b&Q6%*-ltGvk}%RoU<<uxrK=h~bTEe#{qa+l59?f&5?c
zYJzqkZ#BNBKQuD<p1iX`*ap#BTvu~%d}>#tt<<eyClApLhz(N(S=MiBOGNd=RAan#
zO(uW$u5qJ_qZk|V)Ng@9VI|Gz`+xwW)rxZLgxk8(b@=fh+2YAC`lQjEpAK2|<+1VZ
zn&GZ#R2t|ET86FF=Z?`}&wtsp?j#>>*1oXAw#!W~<iJ?l_;)V=$01(C0x9JIhIrQ7
zn^l?;ec091CapFEas-Otr}{A!X`Om53u`L-${=@Jh_LF|QqaHaEETEaFy~SN!FTpu
z%snQ*x0$SSJEFuE%Lp&5ER51VEgc+L%Tep`3wnM?eujQ2&}!rhmw1eQb(@pxeQR@;
zU%UI}tMJR0H}lNKl$w<1Wl>XXtboZ}dSVDQU3T6pnI&Zk)b{T>{9+-Q=^dT>bsrP$
z*VVoJQAxX&gWR=oeaSB7iS1;6$i{`}!Hw|1IWr5h@0T6#=^atzy@GV?q#zgJ??SCW
zugv;);pK6VE>4tc>xRAjavyKq;LKA{mdx$`T;&J9XQZ3EHK7fRag}Uko+mjN_Iznb
z@3-fl&mPYCQM5C~d@A^Pu5%;RGi&(rX6eWW`E4i1owN=}mMj0Z??|%FZ_SbtV1nJ>
zdY7_3Qq5KyW1T~#t~IYW>;{^XzM}L|weHZi<H%CL`+ls#jfBm;OOm7#ff#mCrS;ES
zQ-X5$w**J^**oK45>F!@DKrr5Yj8<;Jl_n2?i+_B_T%v|B@Dcr>v^>V3#n&D(Up(2
zUo@e$8!1Do!M5+uu~LOvePNhQG`-Ef3YMz8nB25)tt)6c?M@FcE2T9o*_BE2ENvED
zP~yIEnNgYJl9_Q1?C#OeHud`Yc^9e`E8y?;Jp8ncfmD1!(W|F9Xsl$!bgNGRoxE!s
z4v|*Sk}hw!Yp>mYu8Cz|lz)zC=vI8yT_`d7L_R|-PVR|sN|1mX?20Goadf5QP)P>*
zRnlBtqzPZdq`<d1$Ajprw(`U6Gm>v!SEA&@w|daX6qjefVKlf;cdE1M4d!>RW!>b7
zMt-QAzI2{9#ZkHh!AAG{n->#5Wehwokmmg?p|lJ&wz!yi--qSuQH~k@OMOYpuhPfD
z?{!U?;VpY)-n2n?Sa~>n?WKJM6W=EFl}U?euwAV)S<M%5r{Al@eH`<jj<`#+Zy-`%
z1M;*-#6Jn8Z^bumeW`N{=X3mh;a~&u)w-H8mW#s)O{cdNivwlUfsU|UkeqND=5Nh5
z8fWxlt>d6H6KR}Ru9%*%dpqf_A{$$0l3zs(bso*fsx=Cg=A2N#Fm-83BCVruGE_)C
zr0+Ll%)x>GiQADF`Tk-BN8bUT4$5x1;^Qn<XFHxcRkkSJs?|O8WS#~rzEYTzlCk)B
zmxTM|?wqJ3gq(WEhxJXnVKUQq4)!1TsWk$NwI4t01OtUA;w$)}8q)*=-?J#s1}~52
z*^}4H&JG0X4#2{Ak*OUUFBduO^Mj(HbhN36sU)@u@&p#IX4r`RjWO$0HY#ata=qn|
z&x&>1Zeyl?tCgrS6fCXN2I5_(!bd`>`V2??6x4s|Y1PyeBbe?}$8@WZmv8X{K4jD>
z7`y0r5+fr@n=oT3eRTPqns0~jWm4+IIvP^Hqo$OTrT0u_^7Xd$dVJ0v1t5T=YB>&Z
z>=xsdFZ<UB1_r<m?I3iA-TDaM5SpwLRPhq#03;Kn%e*Cx>{>(X+0F`OElWchv}fA|
z4=U0l#I+`)cC4L-s>30Dc)ahn3TokGxl=n*ar%jcj^sZMill`sDm~X05lK}p^d1WC
zhrjkGa9B4{oxk(Zfo5r779Xe5tCz7SH?)74f_YnvL%e6}#hQ`g=5=Bwq-lU0cWGgp
zF$+o@Dfoz8jV$HzRoYK_@Q60#BMVCI-`eBeos&5YP|DHypI|sEub9b+PbbpaS^YNY
zqAq~L;VzR7o{v5<ToFi)=$Jj)K`oo92;{0=LDZ*>+ejURuV#Sc$TeU`REa14N-L<(
z4FBS=Cb+TBOw)4NZFaH^)&+XlCfy+R#BpAZRDD)Kkyd<!orvzmlN}V9Do$Tt@zhm>
zAkQ!bD8SiQL%)6}#fJI2YyvOl!8B9Wp~(8^WiQ9#4qr4G>gl`2`eZy!K1lnPwUu7y
zDLkf)n(<42`;#AvA`HFjjWo1ka6gFT@0^*bpTHa8zqiq56*-%HU986v@VKr*-aT#X
zW6ETa!fCPjDETGRPz94)u%6~ia8k4ut_&Hu384Xp|48=~t$*YI?t^kI{*qRu4C_ZZ
z3xVs2L?25`6@}x<FBMoxC`tO}?sQ5>XuY?rOO&SS_d?}~EthN(Tm7c?_XLj&Ai1A|
zc1=qAbH=xR{gAZQuVB=3HRjdREtPYV7zsX+hNW;jAbibwU8n-6yc$_b4H)&=cu7F5
zru$aJ46$m|Bj<rSTN~vYKKEPEE9(Q^6xi~kVm;b`VE1wvo*6pwEbVm+LC?~t<KxIT
zb)VIC7OQ#HU(4rV+UB&Ihm8DC74&;&HCdTby%|Dw-@K1(1*Oy%97QQgEqH@jA#KIf
zu=H6`XwF<cCqU-QkDYmhVod55g0jK*25YsnYAr|i3rpOx<!>(zF}9qUuXjrg_McWv
z#JmM1yJM^3``$;XxFJ^dd^=;K+iRWglz#C30SpI`E~<UbOCkN4K9;BY;FCNy>anU0
zO(jw?ISZRFQ`pynwQJVd5f0a9k@obnC*(_QTnTT33O#kQ2eqU_rj-vmdG@lyhgpZC
z`ta6VeA`9(U<k^%=rjC&wDx>{WSg5}oZil6mC448BLq<mj*(j7d|&SJtIo7369p1B
z{e&Mg2$!KS*-kq}xskKxuIpfrVTZeq=A#RZWoS`8G6F$^Yt484LpQNmX8dL#p_@WM
z!b>ycjzCg8cTv2YU3IalS-P{`oL5qUov1j{%e(d;r76if&=#1uzu;oEFM;*Qx*HjD
zX1os8=puDcp;C~i`goC)o8r2GC)vmX?=fk4c1t{AXHuIWU@bjVxu6XA>eM8@aw)2?
z?_&XdcZF`3Z6Et;)pFgxxV;U*<TjUPa>WSp)2j)2EW)EV>1@>AcXHgD7FVCFb#!s5
zpJDdQom^v}yO}Sy!r`E31u5v|>kjjcd!rep=CickTK}hr;vI^9dxdT;lOOtgJ?P8k
z6`}1dNgCCUltP}e?vjk(?RYNKGZfunGc<U|5PHEE9dn0^s1?0=u-kwtsJCM=?;Sa7
zKS^Y6_m&d$DV^b-Db=9&ek(e-FQ{}ZUht7-nPwvfGrPW6!3LL*Q)t7Kl^E`#77pnN
zgFTkUw_nJ|a)DIxrGCO?6S(8py$=tvNEM|?3|**HS!|H5k=fF1+yAf>T3k;r*mX(A
zbClQ59=wr*N<K1cj@swRQz5~o3xS2SY1M{r3i+XPEO`WN3c1cS_hCejxVs&BTSW6L
zN$72!K(b{<Y^C%_H2F&M5tx^o?}yY+y0CYd{jB%3iVQEQ>5ILUy&Jwj4m6fD?6+!a
ztX9T^X-&O;jzL^lN7}(r{av*}qFQo?_w@tC<HGv5D=Q|YRH<gfCPDP<K=lP%z{(^(
zH5|M|9F~q&k~*rjA*rGM<=TuLa~9E<{=FF&@5$)QzU4g6!cCwtfAF)T)R4z7;GUjw
zWpZkeX1Z=*6u6bj!1^&%_}-BQJf6iYJ>E;;E6^jmy2wA!EvQHUokKNi{FvR-G);ze
zaYw}xbK@Sv*<n%d$p@7GDY%psh4(0>2moXd8}ib9+c~E}O3zA+c*Lsrg7&$lfv{TX
zX8(<(NFVDHsbn?ZO^0*7Z2SA;$w!naSota#R#wcF+b56TTvsv6n2?)$6})$zdiF{!
zuZgexzG48~N8&|rrOiio9khEdp6ApRjS`9(hBgZjDdCY{cUTm^(0G=d(0WIkQw}R9
zBhqDp(hn!<hTT>ABj|Z*P#dCxRYbTV(pxeSB8)qev9|lXciP5vW(UibT$6nD4hTLC
z`&edXs9?BGROp8-wp61p_?ZjonFY;}jQ6AQxe-?aoIwI**~xLYh^0ughJ+DX?}Jpk
znwiBqTqH9cc=T>+bmwl%!DZh|ejApoQ;0mb9!b3TI)1=pav^+CS6cC&Gucy^H^Nu<
zpiZaIpbSsMO&>YF|Hff^%A4c@nmloHFu;Ah?os>LJdM<F(Bu3&FQcg4B<q#kzP@%F
zO9rdA3EZilr{DsQFRk6;F2QTpk#Y%o_bNZ6H%OQ5pmR;Ae3Nm5dDV-M?+Hljqn4?B
z3<@hZh;rw@ovKc+GBZIlzOZ+^iLp3b@H4&DB}?+%OBRz#ZN3L-yWz;;JS1`x%ghd6
zKH8Pe@C0tjObLD!N-d*mJ=~tSAj#Hly|K}{e45R0^F^$V%cel2KR>=V0gvUtNCJe;
zJLf&A^VnJ^f~`7ng!3lT&SS)v`LP#JRjE<;#1=&4WH(dCG|tuc%~Y;@<QOqNC{?Vo
zK7Q9bBuMcG#C`N&2?QJJ{+w~^fq;2+tsuC%-gI)L%Nxmpb&d^#G@P_G-G*)IE<C@C
z2ySOjWcBjGJ&FSWnagDq4Hp=>VVeUnDJT|zp5E)d4nh0YeqCizo9!0yULpjIsOKUV
zKK<l9=`m1|Ie~3(&cebHp*Uee-5}yQ!3vgBR<>X<Xfu-kMeV5F-|XU|=2hJ7wn^_^
zDBsU>wm@W%T0Ova-&)#tol&%Sg7oaXWc57bNAO5m;vpG%MXu9$tG4OabJBcygRk<>
z?gaxmFPOlgklx}YVB(T@WgNwY<cFg57{zPL%bWnUyJwHh$I}kkD3c~KPUo51{GYz{
zt>U;jne^Ji5gPTja*<K5_t8*KSw7bN?CPg(a%|9qFROfd<;HaWrRNQDpd4u$#`dS*
zUMM(}@6Ob4N-;Iz>YsQjqkNNw@w-u3?$(Ctei`$6rLHY3L9}&;?jyGv?>*0JDoime
z1s3`5mS9X@LDjs;Sn|_>oI!P^DT{lP!b5_ImbW^k67`Wh1J>`ZPJ1sYg#$A8I2{J4
zb()3^Tv*oYThB|~)Ks>zruIU1=j}0H)J)HtB449??XWjcvRE1v3<RKwYAm-Q6z<Vh
z(`D8MqrMikIo=%LB_9-Hot7vN<_g@jCZ0&X4KeCdXHK73$lDhVM%Pa%^DbnWUrWny
zHF*i7U>m_9zId*CHtRj4JhL0ir!p6;zRmV+RGVbv=i}NkDW-;*pa6|^IZ`>IPLPoi
z<#4))(2nX4V9H>z4%Cn8xogl{_IyMj)G7B6l2+dY#*s*A>N*A08N|o}F_0I0(DTY9
zpc(z?o|Y|>LCh!o+)}ewGlA^~fha!O6Ersh-6KqH<4bM&>k1lfTacc`QjYv?24>4=
z6I0hnG6ewV8BHRSn<~S*Aw(p%$T;fW?$VE#Kq!$b8>|gOvK5-y_FI~&+vatPnW=Na
zwAN|oR5z<LCQGT7@@;t3;$ab5+YaePNIm7@5nU9B9Pr)7;jbQIBEmltZHphz+V+@E
zq~Q4D0IfvXLV6A8(3F%O_7@-;1@Oj;rE6cZ>chzvj~dbybtV|yY|W;x+(b|>vkFC_
zIm*IblegD1{Ufx#sJC@IZ+__O<HE@5mD?hCzR%)Jl6^OiRn@vK<rBJa2-B5ra)9}{
z<srrE_uX5`T$|T`z`KL@%=M_*j`OZ}hTz0+FtW2M^FY}Rp<Q^eyUK!*{^z}sZk=)V
zv-A0)H|oXe0t+cHwVz0RJDNkkYPLKaHZ*9Ta5YP%&HQM?!g(y}XH~^$;$(b3rH@Xz
z=l1S`dwe~{=b5(#iA>HtFr@?N{y@L;+y|K30?d)biiZ^1#D0{dXhMBbtxdT1L-Q9S
z?S0C(=r&VV9bbi6Nl_u+`TC_h!;;~yqJ&d#$s(p}zWR8l191_4HISaIQkb{mjwh1I
z$ZZza0&k;MNA|_+PmH|TCA)Bj95k_w)`Sd5zFB)5>K=rJd7Tii;%a`qi{=QDastE?
z0I$0*U=6(S-OI7R97QAK=Q$^=h#6*jS&pi&ZtXg?vGP<S5I#dLozMTC&Di2f#{E}u
zY^j!7URpdUdrbR`dm$%!7Y=XxF2QF?tTHZ?K9Y<`5r^+&1tv~a3(i|F%4VHH^Gj!?
zMifBul|T!Vj!T3QIhW8|?}ATn5w{?NkC&EwznR??&T%!^Kh{uTb_|9ndTWUDyLE^8
zKNWj{VdA?{Dn@*U|B9Uuf+#qRiaXw9=&}al#INM;BXLC)P$)G%UQ1-!MybF;)j2Wj
zw39QilMH+Jl35q9Q`X^1roAqbmY^67;QUyhdF1kE^YeJ0$V`9E7r@*`6VdC(@1**-
zTIM{P)U(E3x3m}aqS<Jr!MjOd#o_tqgtR^_sXT{M3h)T{E28B{n|aGV=-eG5lm1MU
z5EWmjF{Tj0uy`;f#87L9A)xvRN$@3{!g_6uPvq@t15>OTOfTpC$|Km&?VeY|E9~r7
zi8w5+A&GJA6FN5?RM|c-y%NUVp2zNY(jhYyQ~o&k>6IJUs~^Gc?|rMU9k(Lm&n}g4
z)dAZNRk-4ZXy-<i+*;$zoYhY8f{UsWSM$aH<LRve;%cL$T`ag0+(U48cLE9S8r(eu
z*Tx}ufX1ER?(XjH?(R-QbNZW^|J?73eX(V|wW^+amWKXI8ni_y!<Kmm;PWO{FtN=M
z+c~243_z!L_3DM>vtOBpw}Zv#u?RTK5FwC*Nj=c$52=nSq*ZK({9H239tQtZV-~@l
zu+)7wH>sD!#0Sbxc0H$kHCY3bA6Q#)$w~mhE~-42#CMpC{usKWa?1vLbZ(tYzFEvV
zu!ByXW|auGH3A>N++e53IiE6dk`cN@6wiu;e$>*w9rvv%)VJs&DsS;P@?U|Os^S`P
zv3>_hY3fSwLY>z174c?n!5Sc@b5@n5#a+oixee-qr*tMjfQv*Pt*o&?0^Ia*&9ho<
z$zuCmaR(dBiUVEx=WL(4`~VWH|DOetiDXWmDDSD3t-?w}I}1P0xsF)d9dC1Bg<1nY
zchv>=f?k)m$OV7>47XwZpOUwj`H~$>4Ij@<bpcH)0GPLIBU91Jla#w+B`AhO@Ouja
z-t=?Gle3@F^zWI+qV=&0UXsfuvcAbH9pbUQDrU2Xxp~C0^<LS=FK?SNgaa(f=<s-t
z+Ap?l)p?1I`&;+OYkM7|tJWGTTzBMB#rVc!>6`ZSZ=#N5D0^QJLxf_(-6r>V0VyP)
zm&v$2B5g+9-W~9_kF>HkCev_Q_uCgy6!+n=s865#bQ>c#jk-**&*8A8*%oWf<%l>#
z0oO6t5G&9$gsD?8521(5ENB_pUz~l1)MLA<H%dTA2i5fhY`d`KMEdZ?Jc2vqBZ2Hp
zN<Mod%qJn_iz~VnYW&egeSmQC@43ByF3x7A9}Uud`TBxSERt#7;tr~#pBj`=K@cgS
zM>-_R1)wJDJKhql0njh!%~WW)Tq;>jsT2XLEt!7*`S%I--F*|S{%(8K-_yjE0@#JU
z>DKE$U$|*hHhS0qn%TYB(gwMfHRinKgPuv?!Lw%OF@3{?nPfS0YtaSsi6*$B`LT68
z9dcLWowMKn7XR;AQ{4sTcAbJ~diS@Vo7a(XS0&(&NXC%js(!Ea1z0Lbce60Yr}bGg
zt@-p@^3NIChjEd}N&zsAMi0K+hm>f!$6#r>?IK%i;}rh6(0bb`8Tx$LVv>l?HNHUS
zNelFt4(?YIvpE^53UcEfwWOsmEnYln=Jr1mJg5Q2Xn5*whj-P_@L7=LhCs8w0=3Q<
zYGJ&q(si1^X$^0e=8!hX?horFktw^x8G^42I@9AoQxxs#wUFS!l$m`EWBUo))EL@Z
z=NTi3z8xfvIfENjJI|DLl|h*QGD(sAqDYk`b8>y~Mw$ef?kkpMQqWJ@jr93M){^XQ
z1a@Rv*e&Y|l{}re)DqA*i{KYHwQDF*6~xu!gDG?2Od<L02f<ICo}N5C+K^=M2=f+%
zSZM{}_B7toX8eLNevl-EaNWK`5N-=?^A&o$vvOTuoQ@_l>pg0&WVRrAL7Sx*M+WI-
zNI{t|#EUO0X9?k_&gY232JU@89L_3`0DW{u%^xr%5~{AOoWo$d+0HNS-wc6`z8)kS
zT0s!Bi9q1D|3Eg-u<*(ix((_g``O&KNuzZp1IUmRD)6_os7Zf#Tp4$gnGai#<dz=<
z0Hs@NhSXp^C*9x;@wEh_!SV`65gyDuK`vK;@TZC)Or7~MEhEm>YT~#kYMSfirLvPK
zmWTO<`>DHCH8lg67sk%qy|?V?N*>{U^sm{e%>iUYUA<KmVbYD7jLL_15eX2LEN@7<
zvEf!|)a?VY><+yye?<1DBaObVD(9>D3(M(jJ$#4T4_ZdYCBzKrq<>wSK_pHyx;z*%
zq>hFk>aBp`FJ1sJE|+colR4YzsKn><tzB$6x+KHubPIdWuqi#PiM88`S-ZBzDbRc_
z_~iZ~0^vB_Tq(Gi8I1nq;0BH6_)%P8Diax_3~#W`XD3)a?k4Z{f7T5XoVcUVr?)9%
z@i4ro2OA$GU!jjF_2X&z-k}Bq1(rsZluvq{jk`4w>OY<)&6TqWl`JRz-L-YtAq{9=
zzNIc+yhih!XHM`7H?~`}Xg`##p9a){8ZdBN&Cr;G%g2_HL~I}JLDOy7E8&@YTfHz0
zc>i2L{#Lr8d9Hw`R6{pQ@r8I>9mK(_Wwg+me)ICCpIB4OOLcJ*sNCK-;>SpwKg!`Z
zPYo(*htgpg6&%=u4Tf&R8v*B>xl)xIqP4Uy(VK5Su0Qq+t8)Lwyi9&1LX8P-dBz<H
zP9+(2*7+S#M$R_Sn$6v=zpHn<Wj1Ba#<N_F1y1iyx2kZ9c3Hiqv}AU;vHEuK#U5Eb
zERfio`of-UPH9b}YYG$(MCNYz3XH)n%NFgyb}3(WQd!I(<0w_pQ9%fmf@owy%RE1=
z(jG1+L~nP0L1Is{fDe#ihuoC#6Ul}f@fK7>pKVo#G{o4Qy;&f~($YU_sID%>yWxV<
z0e(G`g)%Z{h*|f!o4AKSd~jC7&H0|zohxwhDVI;zTR7j}uYCHP;Sg_fgyF=uPKvS>
z9Zn0`+8{xvr{W(8G%>T+_!_l05T~JAlikX$7VjhqTykzNq(EM(Y14~w=VxmO#MC?|
z$J!zFaQdy%;8ZjF-!~bf*Hhv9<6u`NDBEw>{GkPa8_Uo(&ky=X^Q0@b^(kwuu<Ik#
zxuvW8CK`L?5l3)q>ML#)+}&Zp+qFAV@t&Q*$ZaIs_=xPR;ljN|yUR^j>v)=r|D#HR
zgAH%#hlPVzI=JavrSz{(Hqp|tR8bST<bx+LTlTHj{l}BL^}{3~^aOsM&9q9f%-&sj
zVi7I*R2kqlQq`$gzkuGgUrsIKQ#q67ujRE8<#Pm{uF2E)*s|<@S1)pRJNe!v<{O(X
z5|Osni-oheLb}n(zon`gLouk6=w0cX=okK1v;EV(Sg^SXnR~{>MR{Q|`zGu}T2g%_
z&6my<H5eCiW6%(0cI~&;YMUxV{Yy1$a%LCLGfce0s?C{tCd((XvAC8PYhYh~*!lz#
zr+6-w&B`vkfd-dOI{25?bdl62ljv34dD;h5dy}M?FCSxa4sXs4gFiBIe~E(d_b>w1
zy7olzOt|;mJ7uH8y?hSFM|vB>!qF@0iX;gZclf=D9)&`r#<ZU`hb06!?L3!Q2=-zt
zMm`r-ZIa%-Orn~0a+)5n1mgHwg`rst1QI?yx(_^!Qj?xEv#aUHrv4$@Y&qGAv|faT
zP28$g)X_M(Blb?wQGdI|NuQb9D!-MhLPRRTHI5^Ie1}Qj>)YfxIj!p6AP*N0$(HXB
zFFMuRTiwRcWU6IWNer2wTNF#jy=ve#>O=E?XbOhhRY<0O+l`OLnvKyFCnEP20#l_X
z2>wx$u8islp$UJ7u*T8y8kJ{n>^Iv}LovuN89qx&{ztS5LBU^Lb-5Hn!3?YtlVIN`
zhj2v2O|PdZvx7HuV$VT1{yO=c4j92ZB)>%kCuEkV#t;yYO-1y?EkA6@D)u!DFkRlY
zUk*U#f+yq2hc8G2<E<`!DM}*meO^Sb_g5~}%lwDwYT9d2U9(09@|ljTOQ7*7V!ESL
z9k{SJM0+AljkVfiR-#h<H4v_v;Jrq)%=1<jm0se=eycvG_3A5NE&(Ujl5>z%gBdd>
zbL)XzGn(*(yF~h6@GbCkK}tcXOxpew!)!~3zg%T$bu_H1Si#0MmnB*;{}D~mBscwv
zF<~;ewz$mLwQ6x=@jbF6=eYVIFtVzfoAD0$+d!@W%4Hlm;5dx)pR&Nxf?~r;yCQ38
zyvkDQw~Kt%V%P_&`Lb16pmk4RsqCPZu`Am$fPOP5ciD33yo6)7HMRQ9G0`w?D9umC
zdScT0KAV53T9o?(KOha5uG|J6q~2A#;uvvRwvzc-R%6e<ix19DrBLA=hbdH`i_El6
zK=^I>#H%}a%K)iUSAd&Dw&L`mZnCbDHr_s|?Ts&<;cM0ZNDw86Rz;v&NGn^t;?{E^
zutjN3uDm(seza3e#u~njhD{O}<u!0cC%N2SgDbl8=E^D2v6K@NRX@t*G|_e32ArDh
z?AwgJSkPfC^{lwmbY^r{)SNPF|A5%aEOF^#x`!BiMs|FWrmWhD`6c<T)F(L#I<M%B
zdgg_tP$rL(@AwVGfh)(9;Ng~Yi@Xy_?K$J@r{Q&!KbqiF#54m$FR+&t_e{HrR9V(z
zq2R}nyCiNLIZTajUGpZil-`h_b8RTW(>H{~wbzPG#-<DKt|$7TNQw*`iojJs@sVKL
zm#iyP_CrB$PZ7@B0seZUG3W(__O@LN5bTFQ!XPf-?W&*16!FkUaVi87Vd;u)!%$md
z@0u0tI+~?4@PLALHR-80U%NdSxmuc8J11|=ga2q##ZKUZfM1WvKdu#+C=nrijJEl3
zN~Yh)`V`dxE5-$~z+(u8hs(88i75T=-`rqfI@D|na-Z(gl9;%xEJaL))Ex-JzX-y^
zn1=N3VVSLjR_H}K`iZAyvKa?rtEaBIQj>12SY|6g2xhmoxEAFhAwFtoSV^pgijbP$
ze}*h6#h1%9L64UYzPZ|U7HIDeRRGrqnIo-$uXHfBZu@GdXpdEXJ<~rwF2D2|7GG0u
zRo`fJ*$8Ni$ZKKbFrTN0Y7@Mk+vzqNV`!9o<`c~_jrFUE&-!rV)~M3`^9lFdHqr6^
z^=9!nR#a`yOT&sZ7A2PpWE*p^{Flp_m*$3Q=y7@o<?>&QWLTZ27`*G0fFV*8a?C}6
zs0$##i?<^qL{RXB`sT`o$Tr!0+m<Y>p$$;5RA?w>=}IQ&n{Hs9ig&D7vC04EJxPDc
z4^Ff6pGxMCvZAe@I0L#4ck6UQk)v_03f9Jhg8u2!xew9C1)6V)qK#+Kt7PxE!qs$J
zT~%$&gS8u_{;%~hrr{FH0?Jx{!!!|tUkDd0ZvAV;Ufy2U`v(kDkiSIE9#NKpl~x#j
zAzHz~8tv&u&Kk^B33?g=f_oh@fE(}YEu%k2Hj`h6GxHKBh(sX2FTYWQau3Vx9yD<a
zIxYgTUS~a(o~@b@=x-g_uKw+cZ<qv69MWLixt@S7>+Ob`?#Eh_Pcm4h=+VSBwtE6e
z?>E=StalcX7=A1TWlHdvvc3PKKm#9wIiFTl7l@<;|DVHC4r1l&WHf#(RI*k-0+b%<
zH4WllgN85cRu6m;hGg=yqGig)L%zvaJ6wLKlaME~>^=b<bdFvbc9+G$Y}|e$q+Gu5
zp!Or*q)@M_62k^z!1|r<KX12Fq<Ys620z1*hL*sV@*(fi3M9tC>5n8435?A4{;KuU
z_N{X8Htb%@knj)R+A8HM-B+kVc2;+iXhWAKFLLCkOxa}CJLWg{9o7Z`EI@`C-MN|_
zbC>eD+X*ttx91I&ck|n!=FfOY*CwA_?2_d+cmD}@)neMw$r07PB;LF|A|5@!c|tRC
z9CojXB2UM5PlR}zE#K@M_GcL7zM>RKHA7Hhok1cj#+2HzHEJb<AeB%GM}Qyn1tXr7
zf?h-9rHMPYK(JtT5JpYermomhheG1Sg9Ke;B)<F{GGePpmwh9CeTnvdGHnlzkK-kh
zNZhYh4CrXW?JzkMi;Pv{VfX88@z)2fPNZKcJoae{I7oq1&*!>bejVnDB^<W^D}>Hb
z3iWgdCi3BINr_xl5Ag_{9G!={&OFu%p|?4V%qyG%j#$*M{g(W&9LfUd*nSgwoB9Yr
zh$Jv*J-!#mJvD9lU_?SJMS*22b(U+bPzr*G)!k6NGWWFF-FYahu|&7xAPkFYh?!q~
z&j)f~u^*r$a7O-WPiR&okF<Y4PUVw}NDbK+j|vhPfIHrdmfMf2OV>cM2Nlq~kB}u{
zEmWWULPOZ5^r~Um;Bi`A1VY3<>CZl0Q$w9FVok@AU2ALLJRVFjr+|nx(m>qv+UwFv
zfCVGb^c%eB4suLWNwVb9{Y#3W184OZP1T#kKDPW$%$RZ4zrUGed5m7scQ_H0R0a`O
zBdMm=<pqT=t3m}6zC6(Lmy%~XYt!CW54Qi{kjC!XVT|}TyDGP2WF?uEU1=MeXBKHQ
zSrfV_vgcm-Pg5rh)gyxrmvd|c5BkPODolfRT=cW6>?GJfhm4E>J4ADJg`C8uA1E$A
zM^HjufXlJesa5aIx9=!;^;E0pl|8>l{!b`Hl*-8y=7n(*do@^`)}18x!ps@)`?*LD
z$%3wO`-i&tHpIFo1<5p)S*~^PJHH2;3<tMk8fDIm6wzUxcF;`JSSb>rIIF%GBEyNX
zP~!HIp*tM7Jhp1+&B99JDSucjtp=Nvk^tg_L_n&Go0BoenX*gz4tnK6EsiYNY>Ugk
zaU=M>+`cZIff!Si#~FUl+nRWKs2SyI6WLDj@<kVW{DsqS8S~ae8zK7R0>-@bL70m~
zYeO&LkHw3y4o&wU3+}RlX<zA%B|NmE3^AGEit{&TNHjuKJXZKngP87{f_b(8SC#Df
zpDYwPWv#L)yJtio+af50XGq01B?Pdkx>3B-{Q<$<6qIUooVE`m6unJ`K*jkD5?U%p
z6LG_Udwz1NPj`+Jaob2i@ToCp$eEa5d(3JbHd<Xk7fm>Llx%&c3+2*!B(egX{LasX
zc5vlH$O%K5=hx&C?Fotke~e&=n2fNXIoBc7(j-Sd#0Q7w9r#`k*WszDCg!}HIdeuh
z*$}ZC{LdF-KS0cX%=H9swX_$wOE(uI&Jan4yLhjDd;R|HPSoV@Yi<wznTk-kc1LV~
zbkMk!>P-2*w*<Z)m~DF=aI0g07p2rE$}HbCWc7~7%32TVlD<K~2#fZ%EO{RST$Xpj
zE9pOxzn*>GqHUo+%PIhMj%fm}rn>Zj0V_S$1B{wGa@TFnEP0?V+tO2=zfbw2LHIi=
z`ebTOM*zk<zg@6<zE%-N5n!rAK9x`4uK9wObDb*Kq>JK7ZtShmHB<Zz*ONc`5}Z-y
ze_pfzQ1fJ81Spb9RZR#59Xh@*pF*S<AJ#j~FEYPaz=9vLUJ;&tZM))kn4s`<`6)%=
zzndwpJRqCYq8Rb%#f}@oMxW&sw_o(acV}W=*Pz4o$M2(KhWWSZBgG1Rg6kK_Tk_NL
z^+w}DG*17k`BRLM7Yp&WYX$i^1h?||Z9O*v3)~;6HQTjtvI!5y6$~hcL*9HAhz#z2
zi+*WW+fIF)2|O#wxsGFq)X3ZM>LFa;v<34Ni262}lrx|C@qF?znRVjwybvwFe>yTO
z*cA5r`Oq%w%vi)}xO|}lUfzEfi#_7VdcyG8ipuVS)jqqBe6{cETK@Af9==)PvVrR+
zXvMBlb>%TIrq+RYtDVwnsv0st39Cc`bMj|yA^z!ep*N<;I|L@v$PmO&t;x+b@iq7F
ze?(az0!$r**^~x@G*}&9KnMXV9~K1wGcy$+Z6GSEDgvyU?k?~tzsdNzRl!h{B+PYc
zO3a-|xJ%GI37mXd0VG^jnD6&<N}4?7oe<>E(9!3p01Wvb6aKi=JJ(wi?4mw(;%(!o
zS6v?>zBdE-7TA>8gw-Ym&I8JK&HW)_U$FT48Kq8@=`%I<Nq5c;o@TGkKJry}D73<o
z{RAUFafcmi=V~qZUQC|Ye7v!+mN22&)>~#{;LIoM`)ml07p6~}td7xy5kHMDEmX%v
zXf$CsHa%jHjMVvfANLzyTs4g&7?ZI(Lt45J1Dl&H^krkS8&!OxFCcB$EGG6(&TCbZ
z&HnFH=Y<pX)3ULyaD_M@sZR(*zUyU)sVb5W2xFrdc79av)u&Dd)_3&Wn)PjFYq3nv
zw!NMAJ~YRXzXAV>LNj}boLq}l9wswT3`;Ib1Id}&0}3m=@infs+CPofe=Qqyk~Mlf
zjk*IGa*_nCFxH=8o@zMeHy#4WnVY|Lgj1m%7NtKisRRn8%s*NxbjKcUjWFY<euEiI
zC+h9<Pu>4NU;Z;zaq$$IDCPhXN+VcICgxIWYMKRYN*&BvvsHH!!hirtV7*ISk03o^
zAU;>$Ez0{`Gbn@97CRLmUZ}RF7Xdp@p<Ih5<VG!S%7o9NO;2g0Lyt3u@8By$y+@Wq
zjr*kIyf-JutP4_ju;j)lchy`%jP3pccyo+M`Qw>-hy!iI*$PKA2+(vY^>y8yK`%F=
zxsUu>-H5!>#&tY|_omV}OB1VRIAt$eECf4h$EACG=5th!;$!n(Or88g8jroK`<5@S
zzUzX<>3Pp*Y$A0?T(Wx70wVI2KtP8!TPMk=M5YdqT|Z9WEaD_CwSodey;hxtLaD)q
zNX_KvDDpB8@;8QI;N;^!HWl`Mbis`h*FNNm41O^$u7>ocDC_KdWMHNYF;=hNwP?vX
ztsK5P&6XXv)mU5Ko5KRj0}dJ^`?B5?1Z?a9S|S4F`i#Gij}_h4H<Lr_Tce4V&PUT!
z?13*qlgdTE)kv9d8m%ifHAzX&vL)=#&}$#D0>luY4J|S!pO2~|go90}(RQk{Yj$8C
z^?5=RudZo%xI2Cz6&p43mB06mj^71&^6G8S(Fw^Hxju8c?k?~VYn=5fKG^EKRe!<b
z+TNxeM{T>Eh$SN%6|N3f;D|M?d#8e^t}n?K&jSpaNMpreh}x7cJB<*|w~`2lDyOIQ
z1x+x%JJSEg6)^dsD=4X_qKB7B&3ER{*FQ=zWJjN@_psiWR_$7pQ`#ORC9=-bo;~)_
zwDm!|WCj<^nTzdi0Mdf;v`om!56-J<X2`V0-tPV;OhZXqqDIU$`9M%3M<h}1wRLE@
zieSn+@_jb+yf412L-F0cW<Y6XGj4@ZHq<Qr>g%3o*{{Hw|LE2noSZ;T-wfqv%pjd?
zbSmj63M=j&1N|y6RJMMhbUaVK6rojaYR@=6(}oVZCoz{*4p-6mZwsLmD7hmPGfVPI
zr~STW*I$pEvo`?^gz|>Q7G62PubCI==79soh4eik-G?jZ)-#saNAdaN2}WC4Ok*%d
z`}>%|7sM;Fid`;4FjnuSBGGyJFU0m5c-1`10aTZPMkz=VR1C`Bou1DS6Is>0EWGRu
zXgUgj6-slA70r6VOA9sBM>W&5nv^7u(<UG*F!>1xcdAzMjW!Vjs~#iUZV!J$M*BWT
z=i<`E`QwV26SE0iK!E<Z5rZH%2GJasjh9S4Ukso*&=*S>0@<~`$J0SfSD1)F-86oR
zXAm!q!k6}o`{*nB9)jOb)?V}%Ogs-mV91fiR8mK_O!wOYz@rl$`J48}G-A)DZIm5#
zjD^OT)k2MRRToW~Yc-#$Cgl9=Hs%Ys3;XLzIs5i^A*;G2!MZb{nwC;(h%w_HYE>0d
zm{Z``W$tZ>&Zh5k0MufVhY%K_KB3Xr!z0cKbEYW1WfJKY0$A#z=18U|c6{gz^(=hN
zaam8EArM%bvr=Mm#9c01J&R3o&^47s+Fyytsr!{frXb&nnIkv(S;)dl<DFr?!c#%_
zuXkM1Av_OsjDoF`fgBE)qtzS<7^+mXs*$E5)A#mkDVLdt;M-xT=-}T3U42WWf$I2O
z34;==okmt2PFvB9`D|a&ezug!!<zVmqDWs|tw{@X(ha?G(nCF$e8e(hAO+V!EaVO!
z+<9uk6h3cdxwh!~<XG-SCemAtwF)o$nBZ}y86gd9yPIt$In~=NsSA`WMB8!f-j(f^
z*Ks{@YS$?s+`)z_ayFsqR?EdcNEuQ6|7$mj)NJA%5xJ#(h5XF0#S#n??a$I-zG2Ru
zI~gT5OF!okI$Jd_GXB-Q*e5%HR+8|JI|h^J;RWeSL=HlgE0IQTGa29|6BtasQ&0iv
zikx9J_8iCDBl2GfYNMM<88VDeX`up{nF%<RzW*l&K$7>GKOhixcihEp!{wVH5SK%S
zU%AM~oAc<zL_<Y=IPT{gOL$BEJ8hwX%=ai4pAN5wS~P?MUi(!kHl2kX2!9`mPWiin
zLcxFJc?b@{#VyeD@a4$+9q+gwg8sz;zdl}+C77K_QzVQ29sF);*Gt+_;@ekRE&)ia
z1@p0=YEW#n5}wtM*MGKIs3u}&G>0Y|FF%?{m(g3E&?@H|RI~*YnTIx~88XG<h0+E?
zMr90SDw0!C-iNQN)oX2-($ZcN*n0|=AKDgtE-v^Wk}(a7cm(9eIab?E<TcMu9VMpS
zzjaU7C?GRDH~oKUjs|V`8j4lo+?*XWhrgOX2Ja)800yMQ9@$tm$F~1mxk^^%7~<Wh
zxmN1qD~A6DY1T_f5vkkCDcHPpg2OnEH9Y6u<&FF3X+863;~<vIOM-jhg1VP$$Fq-b
zUFE)1yQ4N5lZC{ufI%{_>I&<2Q2np6CrQg@Tyf(2;G`v$xin#I!F!5yLDrlbl&hvU
z@(?{Gjss%IZVvBtOFATr>i%sWi&9}U-uj#%5;Cz_)_0%9aP1@DBL20o^HHnlwKG8B
zY-+a^1~pw6T9E42>=hOJooRk5_`KrReRN6PCXF8`+9H<w^-4WGvWV^7cd;NKjXv8Y
z<p<t5isPrT*;8XCkbmp~JE|q=R*FbVWqRq2(w^2dCyt5b0cM{=Y3Zm<C(fDQken~B
zDw`XGg*U6fyJ5yj*pKud;o|^+l4c6wPBw3Oa!k-U{hBXUk@ZGmr2HZVi&iESL&zzO
z<Wilt3(4Tv+lx=nLE7<vqMIL#C(jgg{`_XfxmpTD8Qlo-kk$ps|ESZ#ugCe~>=_=r
ze|UP9?VC0VQzY*&9u%@gG9B7)q^W<kLGsKee`vE1OH}ac#rX;F0t7VLn_@3OvA2<N
zwB;NJe@}LySMJX}FG^G<WD`C2p464qUwxy$q0lEP=C_K-(l)fu_44?QWLJ0;f5+?E
zrzD|Uwt&3xhD{MlYI2}=39n)(1vXM5&8wXJMYp-mmHC$2@6^hp*3MM#?Wdp42)+P0
zPph~7_6gkxm_c4uMYc!atZhwIgIm4d5|dutMnvY-7c3eQZnSI%l%`wRq|gMAmxfQ_
zlQu(VxkTG5t!kT>q=xggE#9!t;!1Y;awoY!S#0`yuKh<W_ty@_f1zt7?nhCF-@b?-
z^Ln=&%E^uVgI~~_(KM~qsU(f4y}7TKx6wF~(r8tAcvM+X<*viyu3C@*R_IlHlX7*L
zAd+5sd<higd9G(Yt5JSP_yqV<oMkq)Uac!=qd5ke!A~nOz&{z`8SUQtdn9ed6A)t*
zkhybladlP46J1y9xYE@hfnh5es=y@b`i!lRYm<sLzbmRa$PttBG&i>@`kj-<*W`?9
zv(H9jL=`M#`mU%kDCz3RQh{DY_96nZ;LEg{fR#G8tQeORx~J^VvBjNokE_tct?F9G
z{5E><%X8d))I6tP*=nU@A$gbLO9j!PXNULG<J@i_n>+$y<>_LD9Ha+h_J_?GWb#UV
z|BoVwxp-XdcA?t}foVTf+M`rJ=4W5c7q&Xm@VQLLI7JhiY~V%T0lI8kM6CI8^gqk`
zum~Z@-r#;Gj9gdOe0sR=G;f-Qk>OThQDq7O!z<Fn)UWo}aQm9b5HRD&^iTBOQDTc}
zeUkAKXro45`WDR708}oQ0!nG~N%E`3{)C!u>G@tdU%|0Zx*kOv3+s6{SDw*uvgHSp
zX|%CA0xsSrA#=@GzO~W)`-Eb?bSi=G>OH}**xb4?zap@Wy#nwk(={MfJZdw~l%W#X
zRMLB7&07VgSEufL9IxTV)+D@g&Ue^D#5L6m289)$J4QTuPwgCMn9S8n%Cz=F!q?v;
zk}M5FEc65*zlq7BnT^dHS8u=km2^=fv?eASeUOv^mTmPyKtX$&W{{1@&XT{yQZ1Va
zKPe+a4rPU7!KMOh(=AW=Oq$m9y4}SP2S?t!WMWo)Pg=^$e5r$BmcNjN#>a*%$gE#L
zIe@D0n&T(xOd?X#rS{?3+M9_$(OsS0>RPx1h@(!zmIoMY>!qt9(6u&}q-=LEnQgsM
zxn<R7@Yr#3?X4Z}_Rnq?EAB{o|Hw{I(8RFGo1vlHIgp|KVq0~!dF`m#{=IUg-UYM-
z@rMwe3hz$^70qhNT^#_k+?6%J-(6+b+E&B?N?y-LG4<KplVeonJHS@0{rB$|o;^9M
zZ=0@4lk%5)8|Bbl(IIXR$M<d+%Dx8m$35h_b>t1pooc`#kN4H_;z2{XuovoNYl)~=
zDEsy;-`eFA^qo3Fz2a{j4DG+v89H7$LB-*7Y}HJMf&-PN+e(CfzyxOX?>z*HU*LW!
z-bt&m!86nHorZ}?BRta*bC`v1HZ)GF2G%|4IkXHE5?Yu;76w|2kYlH;h2W&nO|#+b
zO$Vg03C?&KLdAzguYz>4Bqk>xd9_2jUha1zS!cPIews3;`9~>2e9>`FkZ1Ipx&%E|
zablXpL#fu6a*CJjqOp_dzowdUKH)?Q!)BaO5`KU9q?J!DQuKp}ey_HYzSO%7i3?cx
zr2S_vVbGG*auqu(x8EZwb=cQWcAr+-E?kqw)q5hXSzY)m&CQXRU969Ql4xz&QF@|Y
zly-Hdn6I1aQa*k5x>3<yS@dsB_C%vOV)&Ek3U}LGq=~!UT?kX$i`M|`{anP6{YkEy
z-_|t^#M!eT-%$)ouUuK1AIl|Mv7Bq4Fl;8{#i5i+>Ac}C00tc_$hcf1*`Qa$&y`1K
zPh*sk70hWv!DpLlhmry;_*y15?k8@Go=Nu8N7$paWW!R61ij0T!>4N>#U6^>qCPrx
z!2Y@%ep5Ra=c4A!ASLU9U<-G&G~@l-Z!+$_A!MKzK0^sqQ$Akan`}<IWzNjPa^JDk
zpF2+<P4`Hzu9=x*I+<hzdl3!LhS{EY7ktf&gVvw`?#6eI4Qu@;IO@-lOJHi*u3B4H
z%`WTvr>E$uIdA7mrNl}(QMpt|Kqe3N4HVkM)U$ja?I_4_GYz_P$m>GQDtL1>F+Z~P
z23!tHy1=C0C~AZ24ZT*rdRVQ$=^e-5091VYC1kWnKmHibb=1kIly8;15g`G)EsoVY
zn9H{6(h(kGWf5Lp4xEnN3YU&FcAhhz=s>D;CUf68|7p^W7WW*+%lwJC@nI~$R<V#Y
zj6r2d*RfMEN(z(4-z<x{@y2CBu=z#Kus}6xIOMx6y8Ak=OytXU#=6IMhy|RTJ2n*c
z{AAKH;2it?NKinuHTFfOu2rMhUXyzf(zUkG0-}#SlD7!A=v1pBITW<WPN2+k31qi2
z3&Eiv00AB=VLMArPB2a=(c<HvetgG4<QDe=(tLTA8rXbS?g`wm{H9#fPWxDdVK=pj
ziOb~w{i*{F=4)JVoCHOOduOV!`_zWFgVH4$z2M7+cjNfwBzS5>*z#z6d=gU7Vou%E
z2`TX@@sw50U{_(6Zqu-F*V#uK=AN6HifvK0fxW;{l8}IDe>qHNx)ycZ3(s$O(JkYp
z4l3d2G57o02dR=AU)NeH*ZHro_O$x)^722>Q}=)4z@U4+Yz1n+WX*=fR2CX!?WDSP
zC#9^68AZe$K|k$vf7}zfQo~L_;4&S-xj!o>mG%x{%L$m#G)19@O*!;waSG@<Gm#gz
zH-sG&4u*A;KVbx_y=YW#PpLm&MLQi!9QEoLKb2rN8;^*8A5;5GWt&Zc9`xl}I$B*@
zB~tL>1gPy&=iy<^;nPSj>6;7~T1I?6P7;agT54yGi!a0YC*|loYe+nFN~Y^YvT2xr
zK4d_M(j)S^6&wZ7?>#*!Te@2Ymv?sP?)Xa~MERLA{`IE(q<SPcs=0_K{zCy>m!34>
zr^~lx*H^)WOSJ{p0=w{2uY+PzN9Wa|@h>*AQ!h+-7!QUa0axx8e#i*Un%(C+fSlb~
zgo=EVg+kzRQLGI9KIg{K?LYh;{0dDvGW_J!pG>~47+Q?+hn#1TgueLV$uYtjWNB*B
zGc4Nfw+b5cG?VGOZ+tQ1rd^D8C=|TYlb^>Va)j1ZYzJm&jSUZ3%j*j(3GlAkVZe^p
z?$Z;FIj_BY@;YC9+<&3VNBI(9w{H0R(l41PWE#xKRHl5<SfXd&sXsaqn&)g%z^FIL
zoxmE$8cJQKbvN^a@1pMbXJS>U;LTK3JOcX~uI@jopqM%kMroK&K!uWbY4vS|&{T7Q
zM_pX;2Zt_a#*V@~)xg2s?>p#-B^lG^oeu@GBaf(rg8*L(F*0W5xZw+$Wm;r?vV1l^
zM=V_>lHhAa*zMPVtG;CKD>GTG1~pRA7Mb`E6Z%K*N+wb|gY55{m*UT&e^78pKY4`g
zj(zg+AKXG!tNkq^po+?3xL;LKWpXLLKS?rEBC4Cgy&dFPEAG>f6EictP(=%V%ox~8
zS9kGVWGZzbRg0>wgvJ-A{V8^!WwxE6TA^G03Dhq}$8tPsi!wt!LSQJFx{)$gOf4_v
zr#E-swm>EJF-!Sr5Bb&8RkA%Y8k}vHnqOd>2ghtuYHj>SJvhC9%L=b5Q}D6dIoXnn
z<^9oX*Hv>(+1^NeFIKZ9*RN(fAZhrUhwtHMa?aC)!Q1@i@Ml3ogUqSZ7k=hGTZW>q
z0~8JfEx@q+ylEU}|2yj<Q{9FJTMkix=N22l_<YO&dI_!ASTn_Y22DjSq`2GD{9P<%
z<-;|6$eTtdV@^04e9I8OGo5N^<ox<EZ?TwV8(t&rVNhJM)CE_Dw_CLshb<#{xO!lc
z!5)9p3hgNNQMpuo^u=$hz_O6^S>pQp<<@gohWQgGP&#<f{71mTozA+(IpLe=g6I?s
zSh0KLXy(%`>A6;sI$?6uC~Lc6#tY2$c4p|_gI=&;+RkK-M^zAau~}p@TFw-$R~A_;
z%ybytk+Z*~d(Br=!$?t<phPZkXdM_x!mx7vLi2(Jr5;zR*)$m!5bF*d^Mf^ZAQ|Mf
zF4I**+*t70zjc$o`(cuNaY-;EyHHte%l`xAwE+uQ!LJGB4)7!3Ku)w>x_p?F_<5Bx
z15<RUdv$%YI$E>9I5-?1F7i0r9q>93)6xh*7Ya@fX?{r-SKa<fL(^NLR+Lj+jR~nl
z>otkC4q9GYE#mIHzjujbf;2Lo=1r1N(WgVYiqkl{AU!TU5V3Hmyq%8EQ&koF{&Iu(
zSm+lu!A3Zf%Fmx9YL|&gNxhJeND3~|jha6ot%$!i^lyuseQt(H3)akxN(8&s1Z+Km
zuGa70OAFuNJ$pXj4hXBriB2#g9j{Q5Pd;0dIlK}F6@RAkBUjRT-d_}%h6Sa4plqK1
zUEjFJsB*B1rio9dNNy`s+_$y1)>WU<&mHQ~d>LNti64N~@p$*UH-Bb45WaT1GuQkX
z0!&@*xCK1Uk18Xc5}<oF6CBkWMH~DW9P2m575VJjdPXC}i?MfVLvix|SO8xp5;So0
zBhC9f---KRbr`2%>_53k@hTorHj{0j)eSgkx7OV8oDRnXW)g1oRz_X1OG~-CJe&`b
zP2P<urAI9R)iU6!%H_n&?cu-<3zDB0&{}FKxB-HV00~lldUrIT=Jji@eW2l08^Y9_
zuuvJ9b<NxI)$yQF=;oFPmLfj2ZvV8rnvUHkXjO`zEAG&!C|z={WqS%%L6MH=>$W-l
zt<+%OLkT^V1dKB^{GQKI$$OP+{$DD7p|rPHGf90y57EOBkvvcZY~nJ^AgAU9?dk|e
z;2}*_4BGy9>f+$q^=hvC2zv%#|GQP&olea*KFO8w$4it#p&>VAnPCbtWK|m3{^4P5
z&kD=GfUIvK_EhrgYFc#r=Qrdy#z%8uL$fZ}jH~4qU^Cr2X65A*ODoF2wMiix$m`>R
zVBQa?dl(p5cjB8BGEy@|U?eS@0kpDip?M*F1I#i{x>V4yY?20bnX|~+$lzf&nwaFG
zBxr~fHv=weNgfVh**B7|x%c#eLgWBiLlbN7L#vZCx>A9P$(ICSEkf;mH;iM9sTigH
zOz)%KSDetPN{krYkzF5LE%RDibLHg)wvMMU4+Z+0FR5|Q-y-fsV?|MH)i#GRZoL(6
zRu2^fCLx@+7lwO`RO9IwKc$##eT>V>&R>#mdL9=a<OV3O-n>_OWYJi0PiUs{9!MQ@
z9`>*U*lxUDH{G6eWQX|PR}$aeg*`;k`nZ3<b|TV=4OHKtP})v$&mZk@mMLsH(i{9M
zNcnrXs*?Sc>Oy$~`cjI}J16RS7a6cNS~jKHAp0nyR)UruPf-6kXAC$fJk6;+#XB9r
zgziY<&iKI6nmqPTehxd-!pN*tag6cso1bdypWrT9`If^4SX{F^Ad%%TMa;^$wX-dn
zYX^>%b;lgWl3-hEe?~TkZUF&Mp9mij;V3rPkJT>ZeD{>6Wi!{a(dD=82}~o;%P>Pw
zqVT<S<ox`L%1<^`Gi&#<dIZMWabf`%I?(c5rSM&;Y>fkwLa6ac4AXL^CLBOiV7Z$}
zZq13gm1*{pIXwoyd)Xj>4dBJKmyL}NH`7C^QO3S`ncelTTdB=?x?vXABK8UzLmzt*
zk3&i6k5pOBoK=X$8+=?7xBL0sx`oG6Bly?dw({WYUP-joLjVKSPdUCm;O%x#kX^<w
zoDcDmM0k1jaXz&d-NeAMPBf*LHkaQ&?(;u7*93U{%u4~x*QYuke{ZaA9Rt1_YX>7s
zylNNSS&bBHNrk^PHsI?mXFFhrda&+BT7YC6)|iK7ZOt&|Sc8T`To<PcuB*@_HK>!y
z%4&xxs2A^>mr%P`+)hp3^dm!B@)tSfU~6jgjZPX!n6X<_&m%-wyXOs9Bg$>OD0G?n
z;bSE6H=s3{d*`JsuvuC|Fm)Vlg3Qzsnpu+TVjKB&ST^|gX+2J^3`$kKAHxf#S^GVl
z4r3zg7(wj;c*aiG3nCl4sDdOUA~=`L&j{&2*2(_<Ps~Tn-zwcIS$g4#9>-^9xoddO
zh*Lg;xQK0(n^NH;*dw04O9_fO@ZC_BHV|ox%vUuLy@8MUzftnj{Ei9u9m&3nuk&iK
z@uW{DCRg>Y69FuXECW0F{btflMpW1KL{^=&?+Hl~6%u%5T^KMhvVQvExuwh!u*z`I
zIitZI+IZ563A?OkBNlNN7@?M=&Ei4&E{doAPcJc_eM;R&YqTa*z#($4dUTrcUY33R
zI})~|)DyDLBq|a5^oQPnSJ@hqzZyBr=c~HS>|v)@M!Pz4qke+|u08vD5y>)+Jl%RY
z&TsS|QnnoG^SKA))52VDlokcZf1kbGi7E!Kn+92IqEH)AF>P3<4+TlVr|8Y*>U>No
zc=kynRvkg@W*yw0fck}tf-+O;-Q}#YVita%P@_=&pDM4=*n2jgdlyKvTEF0tfoVq0
zwGSCyg}Mkg`yM70Ch9lYX=Q9#-K{Th;%?>OzQRmIim|uyk&V-d%TY<5K~;RN>r^zk
zjOqtvcg^iwG!$thA-Z^fwwANOYOmqI1)2kYakZh6z3?D`+o&UJrqhA8p)R;9_KFEp
ze#R}EY4rG8z0>IgVT=Q{z;pr~X>6w_{`614C<Tdam-xKT`HD8&l~D?(&A7ZQ{6*UF
z^}F<Z3NE$J`Dg@_N#tQuPx=^+4usHSu_Cz+|HPcYuOW&Y{31HveSNpxJnT({-uxX;
zp3L4OMr)5W3YPz_A6yR>QeK~AmDPxL+;USpqMWhjIl~O@sBM-f=Qj-CgB+yJa(+E8
z4Z`8UrKMQSMU}lWo4v7CUciE!e?kAt_XIrnTWW>%aF(^|)Z^{Fy?y@;2&&|++T&wP
zIJz-$6Z+#2;^;^Un|+=NtwW8VO-OIJ+ooW7@_eaPEL)>mU+w__!FlXXiD}o~{kFiB
zk?*6j5RaY2=k%+^>oD%d)}U{^yDz#v4FwmUpN%o?5+q!kv(iYYrN{68mfdrd_f|Xj
zc-+=Uz3WnH9~wQ+%wNT#sbA_RA2Jx)-r$c4`B^tC8yUWi9~QFn1@BKH&{u-Cmdh6n
zJ-wvx$--}F)>f&rhY8GE(1mto2LVoBWT7KWZRe>&ns!Bo5~PO`+Z#Nh(anyI$KIRR
z3(ohKK^g_x^quPzwv8_Y>Th)&oT++EDzq2HVw=2)3Hm9FSH#SxwXr@wSrvB`pgf7E
zeX%wOr}A#!o`YUns|6pd_0;xvnRWXY4vj_hUaa;KRI<N$V95Ex0u4{BOx!<HoM8Ev
ze=y|#jid!Ht|&Z?8a+WNIR4tT`}EZ!N&9@*s-tf5%_~g6Yr8GK`dtb-RIfNt6n($<
zYdr(i0nyC4im}I)*^jnPtB!;%k~7k_e>T43s_cuelc|Z?UyOKRKAT3VEE~10@idCl
zylzA$hWEVkyWT9Ny4=Cw41H8iDa)C*xv0-E^Y=KR6B<oql~PaTxsENG=cMvxR(R{G
zdLd9<_cSu@EIi=v6=KOzqPf%PCA`s;i{o=CQu=jx%x*sq-B=n8l~hrb9b+n!i2kmM
zJ{M9wcmZ$!<kM)zXZG|9L9@OpK6sa)sk@&ynA(x7x;=j2WMOj41_#jZE8>#|Pd%=W
z?xtXwX0yx@i0Ysv<;&3&nXEHc!09Jc4B$f^v1ij=yX7qKC$n8X0EzFXy>L<sjeqkx
zwP(6~sZGEZu@7GfM=bn(;xP}J!DD>O?5j2;{ac>u6!U$Xmh*5wCmx1d#X-@NJOmB=
znF~U>6lxu}8!VDLItWf&Xg9edCEVU#VeXlq`nBo0C=w&5>{gtcC9}i%^U#6;j+siW
zAV_Xd0(r2R#Z<?O&B0~&;IfK`6#v~njf}_-K`x>9luy?ki`w{SzNMCX7&(RrJgst#
z7ad5+#k@;HLpt>J@f*t??&pUZvn5xLXc`Xp<wWQ7R9nFdRCy`l*7gQZt~#@^s_%Wv
z5u$yC_wG9S-tX~G(T`q-de7~?2n;ZqSyBbdUXsS_noKs6Ko0V`C&oT_#bNW~&!+PY
z+c8(ce|24wlNJSgc*@;pXXv(*gDh7_gxOh~pP<IFFqny=G+8qA7?TYnSh3;|>#^Y?
zP~CpA`=u-?QprJz-$qRX^_CO@+vKf}zTQpB<mC3$Qs>`MTfHF?HZQzi4P{x7nkAFi
z`pDE4XuvVp-cbrz5y*=rH#&e}*)})75j;s&`CpymI@HFJ7IktnJk9IC{f+-)a_O`y
z{z6Z_Puv&L2OD~A6ONLFivNj07RTVYG;(S;Hejb?12#JF##zKW_7gly&k<$OIa_3y
zrlDa4Ls;>YX|dFfRL|z0))zFRq4tObCPmz_<IYE8p&mV)#0kk(7j-<#nM|2FUF6%3
zbQV8+M@e(tT6`RPZ<+mz%zVDW5?d3;!&o-@L;As_>33aq<%-~%887ND8uxvCM&ivk
zfw3~Q>;B?B4u+3fRvRHnBm$*9(Kv<oe%QDLY5{H!cfT=|tJETPzAuK<vxj{L)pl7#
z$kmjm103<H;zk=SeEbFLvoOn?>RP;le7whoLDJrWdlg2V^^sp&n6P&W>7?iVS)pxj
z09#aW-EBoGu63W)>9R=em{<?K$<{@!^&(&`2{t+mx?%%OGg|jzfblG-Fskfs#=nyD
zW#LvyVcrIkDsb>&@6_bkeqaYQ#y|}iI^8!uSl&x>*prI19lA@twXyLa@8zdZQafZC
zQ(y4Oil;Rs>NaD!+jJ1Z-g-++vE-+I!@cQuRVnYM%hYm%fxU4Lq`0CR<sc&RD`GK!
z6%%aY=G9QgCq(_>;9u`etJ3mkK!^EKRx>n$P!#nS`F=jrq!q1J9*j#1<r$CMJT{y4
zILS-KxIPYH2xz$wVV{F=%az6s?UlfNfMhi7g6|y(6(f6KH!J#2KO|!BQ@xQYdR^&+
zFyqk-=r=^wYfw%&&Z!gm9C<g5EHAgg#wS`-A4n=hA8QW<ZMn{y_K{qKmVsy~pBr>p
z@GFRr6^@L+a2aZZ&?My|0b$h=b&yqfywTY$qyq(AW^67TK*3HSYOhRr(n~>sYl;u=
z&R;5(vx2#O={w!wSQmW~9^mD+)RsXqRl#=3F}#E`cJ7>hCyjGJ6!rH|c~li9nda+P
zsEcNS-*zx=fbK&|s~b*%Q!>OSrS4_31FI1yL_bBJ$!?qO!^u^|z2V_ConNP~cMI2>
zi`F!}7~5*X%wqPekL?&Ye9V_R1pYM~qiifQ2y0cCWz(M~NneBIjm(E;9>(V@b>Y!i
zl%@OkVg5|#g^}X>#+H80Ck10WCyAR}BG=c_hk&HZc^KRH%i{MempBFpxHC9?s7Z#w
z=s>~^Wp*Cm!?z@}AC^lcEQ#vhlhnpy)~8Mtd^HyFh;`mmc5P!gI$>$wMN+@;Mz99;
zGn)&xy3ZawBq^15_v5=W7BH-_pIGD-72>W4%7~=3*an`uXM<r19}I@e+bu9a(cHPV
zJ4;kkk}~!1|Dy2*r6&&b#r@2Q{^6e+d#WyO@R|T2cf0I}Pz&(K`J{K#<P_u8Q4$>@
z)#qtirlZsoQnxA9G2OoL^<{NIFy{o)E%Jnh|LdDF$y@n6Vv63Fa1)jq<dS;Cy9lns
zr}LPeC*YQDw?`_xl&0BZyhD+BTUsu4sVpx3cX$mb-(K7x7yailE!J4(5^*d)20eJM
zan$IUOg$zv2l_Kojo!xexQLoYZ-;~NuP_yO(7gBcK06Us8el4dxa?x(UqkKnhM0Cg
zCbc{d<+*OQ{To~ZTXf(C85k$$hXmA!1=&;#9evq{!-%I{8P<he_?u7hlGMreow43r
zj<Yig^vNWrZ@+#qVoPrmG%;n&b9G%%7>ry$wK^}=-7_i+>a7fJga7Cs)b_h~ijsTK
zOc+Wa<r0Mn>T@s-TI8MYZPOcq)_KC5sq~G`wI^^c_Z9;X;6KpmMtk;5U$@OWe8;Ng
zazck6P%t(BoS3=(b!__8#`)B;l;elJ5%o@JB{#QgBUncJWIWVn=1aM=%-+^ARMqA2
zZHZ8K_8jx%?X&{xd=;z9V~hp#k-|m9SXgB_vr)h)apWKRNczpDilM>rnWWAqi}(J|
zru}j(u~Oa~T}GN=#Hw4S5$wOC_v;aGt$k=$I&*Qlx9S+n^87*B=j|#RJsg!|UpM;?
z^P7o{w6;Wenrtzmn!A(|N-8#ZfBsC9VLx2$!Ldp<au(EU1bI8WP`Uu6#!P<$QKj%*
z)uYPh_Z+y9a0TXmp<+SpuWnfjkqI&ey#9&Y1$;6rI69)A;V8+^+24J@i!GK2Pc1s4
z6U_UUt^xmkZBp7mKREb^9Qdc>+J`cev7(1`&lYV_Fu|##ZYA_V(U-HzU21$yb``oQ
zs1YV4BTOpC{!5N-6#p-fi3}C@*Ish6Rxaeh2lPPt_qOgd+R&Z?CviK1Rq@{|iUXua
zW|f;JJDu#t*U$3=%}!DTOfC7MLhL1BKWbE`PAVpn))z4x$Vt()_E?ga(4ET{#8p(V
zh`Zb+QhxB)hwNv$Ty$eVCO=uQfObMHW)iJ%O!-j*1it|b;}j%66jGa8qQJD-Tt-66
zJ~6gm<4OUMKFM+F%W1SUB2>h4n!vmPL$9^w()V5Cd$w4j^y|Z~mP&`o*T|Rs&CKu4
z4e8_Y9ZU+cu{Sl&^S`sMe_x?ilA`WKX5cgV1p0pAv#ld_mUVIpm2wEE>5+Y76M0^?
zdfz>lPp#z>RI4NzX>d_J_ssy33c7SRkrCD6C!DS#H|kNj&M{i$6*di;L;iux`TI#^
zVdEy>PDWpN3w?*<M~-+(h$*gHg;(S}v4JMJHUc-}$Qtz0A>zfq_V-tz@r!t-S8mmT
zwm$dyOaxuJVt)qhf-I)R&&JFclewQ61>}kp#M-sOt&7l({bL0E?~=p%yw>4RSOq^#
zDG5a+XPdZ|;_COy$=kl@dWn>Gec7?dyd1XhoWnoS*-M5FHh>m;VqL|g_6kr9OSkSW
zp_bKsB1R=ut|9!O7kjRN`s<NRSc|;%26qbDrLT_)gV(n!i%W&7pR+$kwF~N6Gf4A}
z{=kGn7RBU3cZ64i3a#i#KP-?{npff(mD!gkOvEbp<K1U?q9}{P58nx4G+EZQl&=!=
zu(RPR_d7Pxh)>p{XPr?*&f*9?%Y?@F>BvW3>zC5dz$Fp#z<hrF;|{5CMYpy_MsF|w
z_YW?Hgdb*pFx700bRiXcxRV+NJHRd0AHS8a(>wEKjlm0a)BQA*qkRN!rmaA9`-k5b
zUJP}-djuU>d18&*w)J?_d&cP%*c65m6@hL<Zj<=C65DSTXxh-B5t;!TMa{v1eLU2T
z%^Yo4BZ!1@T*mUtEdxx@x#?cDkoz@=9mdB=lDpBwaXr$W+Pl^-K&(D3H)n}h)fFSJ
zk=tIA1uMaVv>Aw+6f3?z5=aXLdmj7eRrLGh8mck$`}SY}c?sw7p`e(8o?KK+E1JGt
z5ocpXkw`z(+lm$Q0<8YAkFnjj@Gm%bM|qK^zYA6J2H^qoMRm`rS`WSm0-j;{j7N_D
zA65St9e3Ms|HDCJHZ~jEwr$(Ct;S|!+eu?KnAmP?+s=P_-q*9%?|CsVGqW=DJ+${e
zK6@sxGCo(RD99agJ^dA<TGCqxpS@1FZlR6K2*y^<08GuTq+HblpvM-V{F0rj>EZnS
zzCRW$;*y{dzDK~71JXeu#J@mgr!f~!lk38@?W8z(E3FBDrE#XM&d+zr2K|TYa`K&^
zYyCZajk5~5=NwQB<aSV7-(BOm_klcW^b5Sw3r_Gi;!Mk8%~4ui;l*+@s?_tG!9gP_
zV(?MiaWv`)p)cJ%<KAMdV|`(do2TOa%r^comS3keG9BC~7v+gtnr34pHm8S&>D9xh
z8)OK(u&%^NmzqILwF=cC>bL{80UoRDc??`h<n_0-Bk!WZnfUNpmYS_GxU(#X@c8!E
z-1H>+H4#Aa;K2+an#_QWDJX*AE>X8H1?N!x#aDKBX9HH2awg7=fu|n8^kREtg*`=$
zxt8$m;Wxo|>PmUE<DhFkH%KCYXgzo0-!R%cMvpb6hkDzuE|4BI@hjA(b#E;md7b+5
zU9R4O^n9mQm(HdFC!8Of9el&2q04Ob_MM&*B&56GRs+kk8!-g<%)wshUsXFkdP~qa
zqTT{czw67+D`7J;vgfzAfiAB*O$P)27c!v!-gpn}iz1?@M@&je+6H!TS}+X0KAb^$
zY<gLsinpw*QV-GYk=g(sX;2pE6g3(r*)i+;8(Heg8}h0m*n;dRYS(vKy$}v%1hqx>
zZQ;4lkLyIXYkya-uCJ^gD><c|e@O&Vx9XpXv?CruD*S>~tAg~fOX^Kk$bFq<2p#)4
zw#?LCKj$6GepUU#`&su@M|jD5G=)*j>KajpyLL>_=}M`TO=7bjjTFKMwyV~Hrpx$J
z;DZi8uN(l`B1wFZTn>!RM;)Ra8_qeHN-H5jd=672as~zZTSjTr=xknCv};f#Jj39C
zPhflxYOy)0L{G`AMQLpc-$&5OEqAu9>G*z-e-ynMZKId-rRYqx+<<l_&Q0t&jj`-G
zT`6zyOu}C9*;V<UDHOsjzDMuLR{*b9<}9rYzZ>S2Po~aE4a=vrlVT8rWE|V1UtUeM
zW6b@2d_nND&HK;m0-)L<4yIe{=>b;k-TM0dpr|>XqGJ)zup;PnaN<}?i=amE`t_Y&
z6Us5fFptueG&1;hm4s8z6S<!UA@B^U2g%^F8+F<R)*@8`inN||Pvv;liu3G2+`Gy?
z*f?ZJM0f?BGog81w8ltDOfE>9k$aBQex*3QY-f6Jx-V~7KeXvRr~YtooDl-u5Y52G
zctYT>#03ayvT>g9=kns$D7aQ{-~DDCOQ@}CnG$j;V^l+4m82C0U<Ifs1AQyA<5!Mk
zI@2p`>n={6jCZilD{2SNc;ks?a4rEs;a1%AY!ebfkk@olAEp9Lb0}y3;91K>!8E^L
z57|guB@)QdC5K`4+V)p?HSXmmE5Bagbb*Rtnoizhi_mYq41s}|9tS23RptE1l;C9;
zE&L=mP1_l=>%kR0<L1mBqdx&gI~||ao4&ie?<vpFyu98lopF|^5j^yteY`$Al}^JC
zJ-^GFH#uxKr0N>lzSHv)<SZV7x+0N{Yr<#hOD{=C9@eYi8uh0gkv8_bc|7!6B=Y)V
zRETLjULqe7LaAXH+{%u^xNl*+**cwkEEn~kG6fREgU`62L!?nmDjY}!?rEmctQSpv
zKqRoj0Y|9LUR0fBWNR(5R}Y|z!Jf&N;*f1xYS=(E#lC>!^o<--M#X6ir}Fv*{>w<y
z(Py7(BYtm(ug<fTfZbv|pK#Q6Y<Ah9y}qSlp~en=ndg-a3Pz2-)`NDCjX$0<37xH7
z!M}wRO8@nMQ+0u=3gyGQOrX{S?7MS`FGsBhM)Vne!Ix{#W;@(65C4?GRXQIiyK1#g
zYaA6IVsTPVNy5z3v|O60!FRDz?ev|GS61iODr2!6tum82s%(-J$qe^*B95_xaW@XR
zc#v>;<KzAd@sAoVXGHGxXooi0nI08@`B_UbM&Dq-)lbLu!Zr*CSO~Ml(@CK<HE|&_
z-OopY<MRVpe*Mc41EhAd=9r6stk6~+;eo|S3*z$|7v$Y5nA~z-8rrHp{P~zvbYaxB
z<P8+X=+=}BaFwF^&*wkJLB5VpEz9)dO6abG-a7ru)qu+VmuHMGvNZDL;Q#qH<(Fxy
zLQ$2e!+FEc>R08kzjSuDEY!cDv%QqJX?;`ip0sF)i|8#sWp$m)7z}7Uq7Dh=2Z(vQ
z`;tI{=E0pQyoax-c{?shW7t%+QKRPS;DZ8p<3oU#@$&W4vRlRA;9p-}?^>E!xBQ1G
zxE_?3f$R=*PD4*mqZ$PPBk&>aR}Og*JWn;l;c5nL#GiCn7;!wmXV=EW6`z7ujx9=z
zo&}HE1G*TgBB?stB7o{80>xcRU*M(6&SpV?pwR)9W=0oC?La6s(!N|5_Vb_TlS|wM
zEEQD@bWSvTxo3E$Sq4iQYuF5uq}@qAZgZA_Y$%p8_Q!;XNWP0z90m<&6-5taUFX&8
zM=JWbjzVW^e(GVpl`ms->XQFAp^&r$)satzpv0za(O}Z;Y>K^eW;i9?RQ?(Rh$+M}
z6jQ_Y>`?#%?882s3~-h`dSjy-fAwuup)^5e#V-T&RikK)FC*V~+ECDovBf$KH%2+s
zO0d|-L+34gYQxqb{bGgILKe0V1)h+rOSW(izT!N^Dl6t`{#reWCRUz}X|`yyl-&V~
zZ9VyB_)<Pwx%|5ByxW?VO&AIEJVy{x#<RnhJbDY?TGfM|Pil3Htk;Fokv}+pEAD<|
zQ?G(1=7?{DH3w;R-#Gg)y<8ke)5@>4m4{~-S0Dyp)+n)E=8smC${+C$!d+WV<JIV)
zcCGb~%{wv&fYU1*?<hV>>rcd?`Pj(}K{;BTy9mOvCYIaZOwnwAK?XoIjZ+w)<xt7|
zyh5A`iflk)0hmP4>ucKSrFzRx*d;kuIx@Wb>>0MXAzvo^wfdnlF_(^}Fbe=67!-RJ
zsA;n`{n~!Fh@+11IHMuCT5+}Mc1U;ja{s{$^e9#KE|q#26qKq>DL>{`_0ItbT;~zP
zxkp73L)C!ESjfKHB86>-d$kGcq*o%6)+hAg+`%JEF|V4GmL>;P!5tU;w{19Oq9?0W
z=o0xa;UU4@`8?3<PZYN3oo9CJ0L+^MN@g0`@JnVxvkY(5Z2UGDJvu`1gN!m|1F<ow
zgLZ8@#U=>DBhhmXcn7W(1Gcz;&Fh}RTW%RhH;}!-xE~D@_k2qG^%Qb8&=;$v4QKc`
z9=mHk#7srdd|K<*IJ`)I0i{<4W8N069h((>4^vt?OFRmkR^1}~7BqtKgaWzFv890^
zW^$_yCK7FjnKqgN{QUf~Qb3^%X&?+CB$~b>A{Es^ULNrq1VrCLg$gcTDILO1Z`Fsg
zUCoXFpA~J6AB$zL<#>hx5WXv$o=*tmFoJ-iKVkS8jY}2uVI{czs!@$lH@a^~wZ1+~
z*81ttnJt^zmVfh`F)Z4i*ggs%7J<p)GpKw>UVKp0#;5V<1upEjw_WAu@!MLX$&}>u
z`1`m0jvsTI)ebXY2UhB=<!iDb5VY-y-(#cwq1m&ak$)|Fq9h1^cvtmZ#pmh(#)b^D
zVQZ9Qs3n60F}_1so-`BcAw=rxKD4F*E#gMzPchiy6c-)M{5uJWuM+Lc>(^4e(cLMO
zN4b+VwW7AY20zPX+QO;LL`RqRub8mo?~G{Um;-NX^d@e7ZGyQx)_enUrk9jmd<Opa
zQjg|3)eg4YDy`2pwr@-8_Fi+mF@HIxEn!`AzW$$R0BmsonC!j^L1~^gcGObIPJ%|-
z)M`@JZ!(Re%2na#o0+}muLy@zHrFS{#_W#V*zYlLQQ67|b{|32=+C`v!2oZP<@LMc
zIAQwq!wA~UTrKo4*luK1Lr-BYYGo?NZZhdHJ#Zv?j+*i>?=3#gGM|{tWVTb2-Z!jN
zRPz8b24liT`;xOfG{!?yBAU_EVSN+AM(L8RNU$c&X0(Vc0@<-jmz~yPh<ff9yZ5cL
zsJ^Ip+|g>f6~9-Bb*ftlyN1kGi@2p)m}V8(cZVyxh+jOvv(d+?x?i8ODCeJ^-!f`z
zjB8W>#SkEDzOk|{?2Q*Hmuiv?ExcbGhrRt=B}X!enAF=TJe(w(N+Adp%NnZR+M>s*
zs|BmEjh<yo{d&x@Sxy`0i(&8xmum&C?`<SYMuMz`q%JE;8jrk$?I*jxCXYkL$Pf|%
zCyU2(x$5=N9|~5LI{Gc#!{Ql=PJj&>J6q6Zi&$5qAvvcFTbJIcq(05cCCwy_xaXN+
zNb8C-d|XkEab~kIw0~$hm!f?Plj3KRUt?imkk=1la1!{yZb>~wO-<;apdk6>dClHv
z=L*(g;Dt1%9mzydU~dzJHK(?JnlV_S6u}oBr(^yB935E`45)yBK**WPe5o9JbFwT-
z&=AQ?g$l(ItCvC#fPO@7dlBKo$YeE(daD)cDmcJSHt;`RYPZv%fEpm}1p55>2y;D{
z7gTS0bkLU2*XkqrKfmjD)3X?cnE_!NzWy2(l7Jy?zCc{}l)E2k?x$Xzk-ByY`4hm%
zXiPXa*!l@(@hc1oF-wXz<`HON#r<btp|Jly7FLrEP8k(i(;|GyevOzHB=bw}dH}A<
zt884ifm&3mdLBfhc~&nuB>x&uvQ~Ba$(V5i+c_P3i}K4*>Gw8h1H;7VP5v+6ePVa|
zQP?`X4edy8ll)bpJj=9Pf~T%ZG@f93WCvRuu)IPxWUWId>Cv_R<lAG>Z<10fx~ZW{
z{$);RAGn9yO(`T|G9O;^4o=M^O4;?HDs$U6PFV#WBi|kc#M25sgv$g)%L=G{LL+nJ
zM<3duhg*x$_V5$tDxuLmy)0wR<%t1aIbJ_FjFbMVW5douWTP>sr5G1>JsJx8trnu8
zzO|CsUE$F^NFBv=W>~*SR%Gh=YU<GLPw!otVxM!9*@z^T8@#fHmDio`lAiOnXq0Gb
z0Mb!!=W#>w?d<mb23Y0)&&TXhqdEFm1kcsO4;%Zkx5ff>Sz$YPp=@?!xfJEa;9uc~
zK|G>nxRs1hO8hDtBSA$0jTF2i5{#m+McX4yg2*UGD{{uf#5AW{!W)vY*G2Y9fo6pS
zwt5zJ>0a40S<VnSdT7v6;>_ojus7L=IXgFwp`f6EDJdyg>&rI%Y}G5|W!~^dE-%7@
zSC7E>!A0iXc{LA!+IF24YF-pwb&{0$=U{Cha@6aRK;G!P?+dwByoMb}h;3TcR}r9p
zI=y4BIGxg{=c&0y;ComEz$6>z8pCD){VC#`32CgDo8+$b4=p}F;QR@a<osp+Qn2Gu
zPfArCSLBBIeUY!TqZ8*VWDN1>9idJkCq|tiXEr$YU1@|{tj>^#;M8Qa_H0J447rgg
zF)BS39s--9Fn`0rjv%(LOQD{Zj>yLqr(ai6D+u49#n3^*1G4&ufqDf=uTW^h%jFC$
zx(|2WCf1vs_LT;f1hTf@zR924ktxzej4i_K@f7C$UC}ht_gMGdgwcAc3zJj@a&307
zWFP8FU$hn9%Mmy7(2aza2r3R)^)cbdK+)}B;_Xr_T^=)EU^)+hhN^e;G!@kjtRObW
z8nJVTpD>3`0P)Hp2eO&_*XcsA-}UOkI8aaM#!FcULlz9d2RbK1|IC3{A-NW%?^uk6
zfjDo$u%l3IKs23oHz_I*vPA%Fb2YedemwtM?|Ea)#(-Lb6ckFMq!j1`P@V!#uuUCW
zKM~AH=HpUCE#h#f!!!$W3^v{&>oL%J!;PIHn~*l@?Bx`}+}%%BWU7r%@XPKUjJysu
zCkQi)V{TzK>dc}V8fKAht=-SVo&Jnejt&>04yh}@Zv6U4?HjO`^Fx<C`S@{J$&m_>
zzja13L`q!%Z4a514>)K_P89rSJ4rJYKzF=6nZK*HpqrdKmS7!m#oLRtD2oQ?&VOGy
z^Z6}M(zbW9W|n%4Zq<{krx{8C@kfkgyvG=0IK*rgmQqb>+atjtCevP4c(9o1!VLEf
zc_r%s)%8h6(Ze21ha*3Fe`-FjpCNKO8o*2kbO?0~zj@LQt(#z~C!~39S&pjzjP>I$
zv_P#zD`L^t)A*T|O`!=dAP~bvH3|=Q0>@OV`9qLq6}dc!WVw}*JCH}7|Km)Ge6gW=
z4ud=gEu3_l5s+S0MRTP>u=X8n(kf#yrD6Z!FEhi~m4|7wY#)8TDq6xO0=NNc>ayVk
z6vAwX9yb5>OF@--Li~=7JZz?1gGW<}QX7&b6puFz&VP<m|Moc6Ta@MSiGrc$Gwq=_
zFXRTy;Im;T%R^_Hm}^w{o5Z^ra-cqsJk+|Gf{a&3&gtN-Jyv#}igq7juC2>3EPUxy
zWN)u5-8ytg$3_h3D_?=duh~jAL)~Aa+2|%ZR7)<_L9$Jj-z+r%Pc8am)t?<u_hHDY
zw8_HN`OM&Rv(!QBh-6a0EC>py4zeZ8Q)~>WTT8_1Ij@`-KQkHameR^>Czkav>{(q3
z7G%V-bMuVv(i5F3<DKzhPRo9-eNPUHjr@T|fA43?wENWH%6C5wZ6<dhA-S)nb+dA8
z`{JUe)J&MfvEVzW*KKhS8E(6tbP_ZtLeS;0c==id;CtWHOKsSpJEqG(4qRkYCk8uf
zdO-Sy-z%K!nNGxIGAN_ZibFM@7Tt&UzSsH*eZoaK2fH;rO<CRh7_08Wm64Y>R=2|-
zwHj5LnllKZ=@$qEY)c{BAztaR60S80LX%Ho7%v2-yu^7RMqGn2w1<RY-S=iIt&PW3
zV~XMFTD6-@ph>m+jK8~zusZ`AA2B60r!{}+X)Lfbhlgt8+qmfjt$5Dx3i5u^CU2$y
zoIe9qkhjyCZ+i;DTiMn*aNc~2^Gf&^^Vb|D4M<e}&96S<`Lj_CNl7S@Qc_9{MS_pM
zXL8i*4JJ?v3zTa`Psg(%fM9OlXGYu2F6_svt?Bg(@mL%PQi(X#weMfKd_Gu6fTXCn
zILIh1HoH|;^T~X~Fc{~*dwVL3EkHt^2vFz6{q>sP@%iyKP%M?aqGW61kZG(l>kHJ#
zG-GI1<(mw8{Sy)rKrjt#@!m6EJs#fyT%6K93k#|%9d0z|tIg3na?i81VSGL~+9kGI
zJ@`#L-p*d-aqg+xqR*Bg$BA>NPg?=uF){Fzl$0RKl}R$>c9Yzm*M^%Z_`iSu-Wh}u
z8}L6}pbFvcfE>(!Wu?!-ENp6GeRwU(_bVtUfVA@}t*u1__J|_*JY9xXSJM)WH(p;m
zVzHRR$KdlU9d{JDm)3Tlo?5T8yHMD!wIEpfyI#y?mn!7hqiH6@Zz#v-ZL%Tn4)_|n
zSTpgy*6<^y6&*adUV!|j5buB151Q#trudOp6FA*!-q%sg%bwEg4RleJUs37$xjjVh
z+z=o<-Jl#i$Y#E{Vls?q5<4-eh9X7|5-k-DF(>+MMNWNWnZ%`8<b4zqhxS4r5OP31
zbEB$2A=bZ4k77^h&7JhfZ^+pR;i&Jw#`XM^susa2LZV%&^IMJHTQ5OBjC2=@EZGhr
zL<X*uEfl01N+Mk}X_=c9$^VTZ;7p&dMnrUl8_OeSj}=u=DzC+&ecGorEs-|VMdX$f
z4m#*p4)6Dj2*2b#=w<vo3@*Bku+0G-(qlYv%p4=<1J9w-KdFzURppUuDu4ANT<y{C
z*zKbGd$S;N=;=DVb6D(8zN5fBMn$-Ymf7|CoQdK**oJV9zcKwbNUVCy$K#rVAX6^q
zWI7YL|Hp$yZm3Oddl(gRc_5mO-`gX^>Zr2JMu%Gn0xmnq#j*QevtL0KImA+2cR+Hs
z2oP(qc({5K@Vo=%3G7whes<amC86S80$$8;a&ofv(LojXd?ua9;lZ5BWplSG<p0NN
zdEO2|f=>}ry*z)J#}bW8h)>}t*7Ut>KZ38WE)Q63aOn$%xCZhzs-z36YCFbg30NHx
z)97@D>hl|Sca788Y%t#6@217~uGxVwbqL@4SqZ^qh}qkN@f{#E^=J`t7@bBP#E&zP
z<aCDkT}T4uri_=$L@JRAg-Wrm>sI=K8~uz@4hTX>r3pgoB(bXF<A!p*z~?c?D-Uid
z{5Y+u!*RQaG~uSrX~q=9L><@78z_1&FyJ68ueM<vp4)du`h{5k+F;};r6ATPf{z$~
zA1;83UXtGYN)ESOjChPwv{gS3b<H(!?flzjFndnKQj9gDoqq^2J}lWwXYtXb=mu0=
z!eY!;Lw9b<E(7pJ#Jg?0iRUq-O3;-wZP%~2hbW@a`)R$AYx@zG{F&<waNf;8uT+jn
z59umeWUs}y?JUVg-?fU3_eWzdrtjNePj#8*9ylv%SWrE$a^->Y?sygC?1(pq%_3n{
zCvU)SAB}3*v7{I;Je8Fk--7QY^qD1EN?(yL{ilKhAHP3b&?9eQE{@F$XI_1oyekx7
z9#V8IgSAUsdoPj~T_rzw9TE2HSkV5|W6P_=gyxrczdNr#D%=Pg&Oh})ZyyVw|EOMU
zMeD+$8os6!(7k$QfAh9Tuiqq|EklG3I(Qm3IoI>!Oo|Tf-pLclr}<fIF7~HIEe3%^
zE9&e1C@%oaPxiakmag+C*@SgOwXf_fP_WMs4oyKjj6hR8q-0@1rSE-rHV2qZIghC7
zC`13NVJ@v)U{)Tv*zCp~!I{eDsrY?(MfvjiyoZz@Penr01HAr;K|(?TuWKQ9lS$oq
zO!6KiMiNck_(xh+mK9K%mPm$8wK=jowP~mIqG@d*EbQZ#WQIv)E2U)-HzJ&1s^4ml
zKR7g$X%cc)*Sl$pPqkIs^J-mM@3Lf{V-Dreht3g?sF7+Mir#$v5{Kss_f50?3qE;O
z+Yc@`Q$$q9!#NRW<n5ApeEUtr!zA#P^%#>Io&KynFjlCO%bxosQE%^J>Qz`RCTC)c
zlG1Og$oZ76jp>tR$v}NnXoN~$`HjAOL~)+<W^xx>wQ+Ih8P)i(KjC_9u>-jmE6aUz
zoLc&4Q$L+x=d;^Aba2_wRoGTMf2f@c6Tb>=%*9Rqs)Y;1n9T!hN7gRpz-h{_9mSTD
zHw_b0Tzog&dzg%=Onbfu;wdg%Zl5PXObr7pTo)v~z8s0<X**ll<;GZ1K@y^Wn;~Fr
zmfwK?%pJAzqBsWyZBWgLOnzl8n(nN&&-6*&0=Hd1aF$wiTJ`M_kpNJ~(g0wW3m^vA
z-?!mhSM}Dl{j#7&m{6Nqa!-zzK>53<<kg~TWaxj|9XI@bQf)Ag_ZS`_^=XI+96&Qk
z3vbZ%IgDw<Y8h;{UZh@Wb0SqK)Y>iL=HTEU!sJS{9Bu=W38(%%$X73yj^3U(FYC`^
zfKwSv<?vYKD-vT40;#lHkUZo#Y)y(Y=`TDo{L121sggflftQ0JI5s^=2bR=B(Qlm0
z7KaG~Y>UxImxs&CDa|JrXJ+zAL~FBUe$h9VJ1S>{{#-gxDQA{UQp47wNK3`O{3&Ul
z@*|ux!1)OeNc>EmP2)7%Z=sqBg(R0@&g|tH=K$Zy&f&U_Rf}e_h!*^q#zQMaWbxc_
zmmIHBy=z&(Wo-Q^OWAR49K&=e--Beb!~rlqzs^{6Jf2{7b;yoPGbwPKp4o~qZ)bji
zSXUaoAOA*buGiNyVX%GLbJe*1+SH1$;%@c{&+^&>SZ9?AB3Fim#4JlUF~!Hgb%o(&
za{r}SQ|f?qZJ^m!+ndRe$B86B#t()Rzd7Mv27enD%tJ3egCnKq#xzv!rP83ldq*J~
z=a(jh^4IE{?)(*BIQ5Wcy#bD)YccRp{QvkYX3VUQGK0kpek1Pxw?gs#TcO6Z?5Ey_
zf~vO+y|0%4vIzdqV}TLEh0s!t;W~RM=hHocbh*EZ?vxX!5&KIB{$tZd5n<^Rq1|i>
z9&8!<EGOEjJGoZt>OS^5+_DLg^wrabef=%e3><}JV8j@TIKTC;i(>d;2eBD?dsZS!
zgzgC?WOCYw-zAV55%m7<>v@#p@n?K|JTSD{m-ah=s|ZUA%_hb;MlORH5a>6aMyIH)
zZLMfd&l2$I%O;L~lYmRE6{gh78jd9JK9f&HHPkf5nb<db=h5W*;|vH69<1MLbs(I`
z=2Af;q+G(J0*M?6j(04LPaA1YTvqC8h{L~${Wh1)<&y3kK|39B{C;?F(2(w2+_XU5
z{M=4%L$gWPZWJYY+1V8r7tebep=rnd0W>CYC;^fgHya*X4a`wF5{;2ddaO^tD~s#4
z0jjgWhz~nvqo7WgC(}158X(AkwBu2m^u?#`Pkp*PV}Sx=M=JKG!0pR757!X;&s@PS
z?OQhwBey}3{i5+Fm<OX5Qmz9<wRsRd-*vl63)y}R<VT)L3!-EO?l#ixXiQR)c1eCE
zNNW~;dMx7(%4G^RlBda?h8)d+A08%@)ZAl-=8J8eKgu$>MF2#p0YH^o)9GG{vO--S
z&oR_aA0YK?I;~cJ`rPa3vhJ??qE}Vh`u?UK(YXhlszAil%9Q?^SO)2+Xu#_*^Bejl
zfyw=-)akl|CBlRxNebmp39uQb<V+}{Y!-IC=?5ZMR3U!1BYcxbzYGm<z=J;t)tS{+
ztiz(v5MR|x9<x5B={wwhC!gx(gwmPcZ+V>z;>mA%rL|EGXLhWt7<k6zCixp-eM;?0
zmM-2dR*7+&eFZcHR=i$W$_Mdjs7kTuz~XXrAleTk7E4upy5TSFKdtruf4izbF#nb{
zRKeyN8SjRtzqwURxyre(U4nEU>nDH;XJgq7m&oDTBhn2QCAXZ<jObUQ%AIL>@>8_9
zwCh;S?QxM~XQ~bj;}}HDgO|U8jfeywZIMXF#(g*oN<+YwudD3})$c=~SUNGNmuZu$
z$*EY0&EBChPqEWaO(NW*5(V7rU<lTW@T20)N!6mZ@@?`+SYX>Y`6;ul8tHQy!<K$p
zEX64g@)kfFOq*iHyO73TR;fIXr>YEV)VF(HL+>g@sJVW#;E}lJ5}B|d?`<eWcqzAf
zq)Akauc1!n%_At96r5;gt;r7c|2{&g+%+rME=&|kFtCi@-5#s<q?|#UM{16A1{9OS
zlEF$q36GL#2n%3c=&6`ZNuY_?A?56STo4|JhLVjzuM2&5IJu|g{tl$fr{m%?Wb=A4
zSL=1AS!D2#QB6fO?IpXRK%5_8NDqogGb*?3A08^Feb>rKgg{PI7gvT>st+jK?DqNn
zsR`MeMymz(wCTez&0Ixf&G0C<=K>Mm;vg}-HG8|^|8{W=z%(eoEAmP#RPN#(*+^PP
z5}VVGpXIt*RfCzMyS-s;SDk}|ceMvD*sRL*&V_9j`|4CE?afJVloTDGk}zgbP0!Is
zX|#)!#{v|}&U5rtB#B9KUHVqZ(6!a``aTPBDPe_;zp4j5fhf32Jw$x&6g%sD3|19k
zAOApih3wBXz${WPXBYsBwDfcp@)|8g)by|0+85%$5*nXB#FgyNDg2F{=p2jfDFq~)
z`|jt*PevbEEL9_cO{D6e00TlO1^GDE?E+cwS0zaPdk$U?HHPR1fTs%aDZw_()z&Iz
zZDbh~CEr2n@*h$emF+dVj7peW%-_2^k2`v^9hDduHKTzq^M$i^a!S5-Qgp#Kn_E!P
z_UCXKi15Mkn^D2Fr9GhRd6Z$80Rk{t@keJ+jK5azs3044U_Cbd;Cw$vIRtrlCOs$d
zet#VJ>u&_^dL$-QG^)pUfAE1$G2y*Ab6D9O9&BQR@q`&w#}AlyTm~L-gH3DjscwUt
z+37`&NqnH7tC?4twUA4~EI^pVs4k=kI+>*j!L#VRuDp=_=}T=ZG9lxHe?#1c1l`nA
z`m1J!^)-PJRDJE);nwe>Wjg5gR8L4$u=Y^>p6ceObmO@YF}wuUZ#q2<`vl&*x+;D9
zpFR-u81hGgWArV|v*n~G@#lDLlyM*pChO#_-ubffDg-*&r#|ua;cldKqi|=Q6W)uj
zsnk^I(#I>WAO^p7jW2|WG(yXq&M|!8Hx`b|yN5Q2r|{#rV0`xD+&=Gh@EHkAZ4()W
zK<AG`&+XXh^}V@N(0GBL!rRdkFwgzy%ah_M+=N8<%W7$-D*AIAMMtUpZA*PQlL*JO
z{Jwa8-#`rdnQw(MhVV4zPU^tE?Y;ZX&IiwLMwTNFSd2iYOcSD;Wmn3B?tj2I?)&Q-
zKdu;6){d<a=A$@egbC_IR`@;xW@(48nw!kJU8c$Swu^MGK?y7V@0xdj77q44!bu&~
zYiKwyi54-XkFm^>OHk{0I0-{O06F<ZimtC+D-gbnbOrg<U4g`(M`MFV4&wjedrixG
zd!fXsrwNGic6$igV~906(a<OxhzaUDeJ^+XXMgd|z!793gNiV&2$ZQns9hf=^0s|d
zk#>!|-<UvHDhU|owm&SUt8;K05dg6#6+(5oTx1y5sbpwdQmQeDWEotASc-+pG0*Ss
z@9B$J5CTV{LMw8ylV>NAJoL_Il=`0+ty?&hpPYnsWkuy!sN+-@BQG4`zG%_0?j>j@
z!HIBIDv|5xG}P4Fz`4R4OGTIKHJiWY?PdYNkm^xG#gvkPfkQD$$pCF$Rz{VadT69%
z4sW)Zf*KGJUu&ksbO?Pu5qmY^tVAWgm(YH7ND=nOEe|i)tn+3lYA{5sBg=DOrxxzV
zNsxm=#QMZHHID-4E-9U=GJZ*_makAH<lQ47EpXV!o4~rO^WlBnHsSUP&*OdAe%vt|
z7Gs2Gfz50PxY`o{nuRgMq?Pj3)b$kin?K34NbE}Nz+8#i>o0h@i-n}!%E}gG;0_)m
zj1wtTxQi)qR=JlXuY#3or7_yBjX2A?n&$3W8G{o;^SqK9$t_m-RtxthTEw)R<WCl}
zaHf?{xP;7JT;6qVVb!v45yz~mcKQWt-vsFrV1Os8fBR=gO0e6W9Ys#uMJ@14|CN*@
zC<%T-HfylSjq(s0>V(5xovB%nwc$dT00@2oI9SvRa!KRdXU6?#sS>Qo5YL*$yO&2_
zP@+SzTo&Fi-H_XYB+E6B1<oC9p%h|i7_|a+q5};&>U79}3XBRE2GvstO8OS-jOL$>
z>-9rsst)!*3UsZ9|5A;|pj%v)z1{#1$}+>HCdDBa68?*KxbPJgHp4L%pvNG67F9o+
zfYiO9bd=K&&$|O&vmRk8MHM&Z<=jk(nvhKLMNMB1&S2B1IyF|*>~Fbd_d%x6fO}el
z!{YKc$B|%(A9l#T0RaKm4-e>CwAuvNjK<{r{Q5eBx2yONau?bac9OL&+O3j}tiQzz
zAJWs76Yo62eEnW2aU7NGleAQ0BHd!8RMr_+Uy|097|^WHRri^##`@)aHZ0d7Z?gvE
z_pNG9-g*QetB`U+Yje7G9y0j;A~Aj>1UQNiY6fs3!BU@{XRe<0<^?jenDt#+h=Xi!
zKANWd*)Sjwa(RTLtgVHzd0<`X<akm`H5RxW4~3wS7sMW8ax;YP^3ij+7GEBPuta|x
zn6eFN<yuJFgx&~o&_Fat8<;tss`o|e7~PChcjfN5-|$OtZ^5f2m_yG^M}yHxx({06
ziZ9voDsNV$JIjs$`J`!u&0N1T!WfQaCrIaU&XLOCD5h()LIqEbH7oevnQG-{V3z~d
zfazGmNV-fKD=rvW=S<9%kSf8B%y@#;vBDF#wMN(M>z?s_au#^PW13%KLZLP8P%uI-
zT>kK$^x6+u%qt0%KH5NT-^*rI1-g+E7Mz;#2uq0@(-ejPxE?B`p%sy65N-waxo%9b
z?L#GT)d=%Q2|_WCF~&e|)hLL#h2PnFVIO=U_P>ZZmo@6QdhgxXOK{4tiyo$^b+26K
zt3CJ!AEqEFsy!?x=f41Uj?3wep1#UR?7usEq=P@OTm@*5Qgb9>EEn0nZY|TMXsUvs
z0wlxejsYm=SHK8pbjav4n83<1IL6dDg2&et@*ZmM5&^?c2`7v3`l(IJSS=({23Xaq
zU-+DG)3h>S$gZ8f2bH<k%Sv}c64piT34+Z|cL`iIl!P1Fd^cLmYos(kR7985NR+A>
zY(&-NVu@w^bh7fAy_3SHx3F)4_k%M;J3ZzuV@p$vSv?dK=08{C(xjsCA;#+JBz~JB
zSk>X$@g#2iU5PYdv&dYB$E@Q4fbBU5D1jt@cB8iJ%2SCJJQw*+GK!eB(lzGLRf(0T
z!k`uCkj|d;Tc-(R>J8m4okEE}_ceD2rd8}Oz03;bx0s5*-weTf1{4{49Y<kUk}{l5
zyrT8y3X!d9=&<a}oG3rLsz9a`+L+62cnt|(CXaHNIo|3*&}wJE>g8!7iFxidhU4g3
zpBw$^LKF_1%Fk*5EeP@Uu;uXi?H|0~)hp+|8c2__#=;+LfRe|d<)BdDthP2Ud@KD=
zb`N?C{r3>%I=F9HX6yIWlV-T!fl(<G%~^9$*U0B*?fHN}nIFH!2}3BGl%vtzk0;&J
zMI(W1+waR#iI*&$n&gSlFm7}(LFkc>^8JQQwO$zh)N$&o)bW8TBvFuIvjBb64>$P%
zmaP{WRW~_8tn0d%5k+I!ryiKI2P&U`R)WA<$Y6o;x+|t0=i4n3bdzP%Ekc4nN*($`
z*Ta!JP?|}b^gwN)q40?8Zpr`zgtl2qR7kaSm>R=8-DkfH&37jcLQ707=4dJYQN*tM
zwwR-)PJajR#;v0bzU)_ziNYddq_(StfgvtR{<}OA8%fbJ`^Mq?r^c*fA9-N{uOu$J
zt>JLXqnVz}g0y*;#WX>3lC>TQ6ujVXc^c6)WwhtK;Aa=0{G5*?nfuEs9__uCtDJ1S
zY$GvoPw1vk6o=27b=`f<PVlmkiHXUUC1jXzxw{=1o33~gI8b4JBa({YX)q@#p92#i
zf|m(Eg%CHYb!jv5USj$q6AYI?<^Ai;{m#l=@-^(lZ`Wj|=B``k4SR%<MB8AiEUQik
z-;DAxT@q^*{!?}=ylStL@z)GEL(ETz<F&8F!+Awbvv6fvOhV>_LSvG_OS6s)<ZI^#
zaE<smbDSEhf#My+yeqqIv|vBuS-LikpN8iM$`R<Q=7QdR{H|0=DV=h-5P2$3ohF#g
zw1?U%Z%G&bsd$1qqJNrGyA-Wz-^BeJDJm%|*LExHd0e<#Aw$~jm37fag~xUO_*qP8
z#(-mRV$%%{;lvH;@ldVwuw#8?)Xhr6*KCQ7ZIw@p@y4W?GGTRj5ex3n`?XI}DSeo@
zkb)1T0rk9~FwxUx*5o}fqw2#@0k2JDw*h39Rl|3KqPH@4{NG9u8SmH6(D`l){aY$V
z8kL8>_4;c^zjSmm*xNg1?SBEwRbsixRxcEB|9k*}SL$bzWFue^yQ%p6zM5tQ&qmAo
zJ~f$TqUspd_BTL|6Jv<8g@tyKFEFwr=+wz+x7q~rkMNgkCZWuT;!iRw4yV`QsuWEb
zmc>@sAX?aPPUf5w6BT9bH0h}W+w*mp<#0>OW9@-|kVTEf*c=RhK_u<E{Rh+&s269^
zIz?TZ7im}ylRsHFK>2mz>Vu=LY~d~1Jfc?!p4F`@Z|Kk#%nodk3+Wy!9?v(Eu89V&
zGv(!?K(zY0V=WO*qH@+yoK2slo-DPKg%=@@$hm{I9x`#erHmwK_$T=(vYplQ1LAb`
zECCk2-O;@NnTwL&R#||10wd4I4c+d1c)FKJk{KQOq&?*PKX0Py;8!%ZX}vN}G*L{u
zx7LT4jkP(B6O`S)8<z`ZawV+OyNVg+6KcVCQbTOgb*-r#+X04w{_my%!S=-pg(Nj2
zZL#f1usKP?(%XJ6lU^^O`d6;~_&<smA2G{#BsAG)wjl|#^VntP=RQ@)u8$Q)uOFMc
zH5Ub5p}_t4|E3`*`2R9({T0*l)so=A62-)g{jbBR>$)Fq0`>$5EVG3YnLQmJ7y!3z
zz$)q)iorI?$12hz<8eQSMx~H9?c4LXT!(QvoCunjkWJ_DpznG;tx~5OD>sl(l1YrG
ztpT3GisjFM6;F`;JsJ!Ld2#M03qu;DhhHC80oQ-Pkw74t%kF^($VL7MvL<ysG=|GC
zTzf+vGjAUsmiM~0U09dN#akd*4Z>1GRo<cZgPo_W__-KZeRHHzBMc-y&a$?l&pqGl
z<&e8I@L{MSCJDovzkF=!t^|JG9a`pySBN<T%6@M*it{zYUFRc4$?c&<q4VNhS^MP{
zj~I5wbbL6c$5on{L0jdaeC?MUGAfJ?s=(n;&Sg-2Xco-gK?F$uED0SH{ZAN`{09Hs
zk!(O)iW-cd9808^@1J!J67<@5h@RA`I9Gmz3lg{G;Q!9um6q<7p1;6V*9L>bChY@7
zw=?6%Yz|5dD5YB5xDtoh#tNJSXLKmdQId#bplk;@!^bE#;7EmZb!h(z-!rFBk8w&H
z<(3u1J{=(&`qq7?fn&?3^bPLwJNW!71WR0}gj+Zh+Td5{q@jI{X<-$+)<P+o2^$;R
zHP9c);#2yErb%#~z#v)f1;WV*qN32~+<;*>**t!HKR-Revwn$A%vxX#rJ#`MIF{Uw
z71b?}&_8Clxu3@Au*vIYU2K{OG+TcELFM50Jgq3xB=Wx?hq4wyjqD47`h6#Hlray)
zdP3h5!y+L;>7bbu@9VbMV&n07r!<q&z3l>`|AwPm_DEuT1H(sF(mERM12-;+-#Htj
zH;rkymKkdeC?Nw~+409`8Sa+}XaW@&Ytu<1f(?7xsnL5@vOyizXE2|$GPH^Y&Q)S|
zE~S$)2|+!4(>?4yjdboKE^BKhe%6W=QH3T$0|yof@B*p1r#jy?S#q&@V4wnFcLExt
zfMgzof~q^GiiWyIAdl7#oQZRCv8PcP|3DwUX^wsy?q0myupDG5*!>$G_;WazYmA7-
zB=NC&yGVNRUGlE?QJZ<UND<WA9820=VCm$fb5zye=-1y^o?pLX%RruxT%a$2o5z!@
z%g_pN;q5z~*M_!Pr(+1#AEhkkoK~CLe~3d`ujO^M+k6pG9d7qWY2#9B@WX!o{1fnb
zM_8194Wx`bNOZ}h(Ka;OgkLwKy&O*GAvG11vyq6Ur-_zm0&4@C7sb6+scsV`2$-l_
zTLX1DsVwv9mO_5%xnut(u&JE{J<o}reCLutTbl7_=QtsP99U@fKA)3p{@AHTNt+r7
zd==gEaSxu-_kIwS{T0VZO5iYqSX^xDhgb2^=GVYUfFQC7RG1#S!4Mx@!WH$hx^B7C
zKfDTYLhPNd1W_r|^JZ>DPO2NLt|yFhb(T0`L6u|FXnv7Oo};U7Xv<vVN$7oRB>eBl
zV@UCDa)VCq#MO$CvetsOG&X-3-lLCGLHkZK6IBjM=zsdnOnk;v<c9PJ>kvPYW)bjE
z`fRR5{^|i>(}Utkt?s$suFj%?I1q@%FwN$U-K8qStEuroaXZTq)>HIFF?JSE!i8b9
zDD?N+rzC#b7B>>rb2=K~N-osYelKK8Xr-S@*R-dSyZQBkE++J{rBxSi!vnkQbdi%?
ziuKz(!>nd=A+n)38`z|R!~3$IoWHTb#L0<e-}7Q_PAqy;BHBm}-oCD6Tk5no6gj!z
z3WUbJ?-70lZghGK085Y-ouxI;*0j5YEIMM`Kc`Zr7x0?)P!*PI^^AZoM<AaXEFP3R
z7d*EIXjN>-a%?hIh(^c9hXbMQeSd<$-B{QHJTID;HF@iS^IVmzFT8&-tj%+hapJDS
zWH#6QkGi@#2A5R59$&76tkUjc{4F&1$H%|x??sFWA7^d&*Z<_<3J1pb*KNRQT*5z+
zhr{uhWJ*d^7gIqFkw6YQQfnNn1xJKhJbX}oT-cY3T+YB|lkxLj1j-XlS2BgIpF7$_
z8z-9h1N_hNy_;-)E<9!Z?r$ACa)avL2dn%Eud8H?4&n-rkEV~sk`Ep~aJQDy*~Qs6
ze84%6-QrFz%_^|J>FQl`yR2?ZOytvbtpG~ouz$8XHkEk(3o+P;{+VxOlfK~1_}jhU
zwK1NH8zOl1<kaBCCiq7&aO91V<jvcUfkIz#4xQq`%xDDlj#Ch8$cG?M9G5S5W|@mR
z^%b^5=`=UarvQxR(!jDg4D=aXVsGW^TY3WM%pLZc#2FSGBR7oUGx_?Xf7opSmPxjC
z>I397_iMSql`D|X^P<<f$wj3Zw-L@1N0^5L&JhP4LgoP<NJ0MK*ra(4YY#bO65h@7
z8}l7*+0?`bqR&$I?%hQj-n5GeG`Fugx&|#85>ARCE=*1V$-;(0Tj0Yae>0G{bx<fR
zpapgT>;>mz-xrvh0`r^r4$;#p`VZ(e%0A5D^JtqNPY0AlA-_JKdbMJhqP*O0_oa@v
zdIf&`_)#9MYbUT|`s1^$jq{(e^*^YWrYtRW8PO*zl#6MNgT&;P*6nPUdbOsJy*K1R
zaWM&mvYp+(w`|<trIHg>*U!%N+=X$U{6R+6u>E98CXS2w4HA+WWA$YoCz0mNB%W`G
zKQuH{QCYcvH$;g?DaZ^VV3z`Ls37nG%r-+Lq^FOtD?7TmnbBvsZa9h&-b9&RtWxNA
z@IS|AthBI|NX<T@X-CXT{D3tUc+2`xKKoMFd*=bE8yCewvbvGTKSk1ku=RBCedX?5
z68h%O5cDn}C)tp7{lbJ~+aMs9k$M@!GoSft^{3%+gb=-fFdQo#-$&I0zh;(gR{^Qp
z>5r`zMxx9Yo8cwV<J#p^j=N(zm$u@;g*2-46zTshs@gxmcv^n6NVcywEB5$-?gp@j
zZR6F>I{Pb+!OaF&Vd)`&i|3nx@P|C<noeAeB=zTjoG^fk78%DG$B7j($MBPg6_zQE
zos|n#A<M{>iO_3|QRQla`HNOc4sBe@P8jT48LuuqOyxESuO#ZjlNN&I!_^95=$UjX
zS2B@Yinb2@(kK~#`z2vQS%!G6pc@bTI<$+rdq^OtZJ`mxA-{>5%xoLQm|vv$wt)F>
zW{|mW(9Z)C6wRtlBXi-q`m@7{`$tDmXp*`7bcx!*zNU#1PCc~W+x6nGn1cOiZ~iJv
zM6v1UGS)nZMYaFy%EZy>te`kRolRRH!NR*l+9dFt7pW9KdW?N0{n%cXAU?3=qA9BD
zMa&D)GN9O@r|9k@ob;9=mh8FNx*CNbMAE>ht19l0KPVHWqF(NJ-kFsZl#zKrqYc=8
zr@MZA@Y{y;T@$*UO~1dTe$gd+cfO{5cbKPg>zboBJ6Dc{A5@GU>uz1j32WaQ(3<f(
z4YyAye%EQD2k+T3I+6?incymf{AZqA>VH4a53m+epb6MwLdKQ#9dzTjsoi(M0~nAm
z;;2vzzGGDjV_gPS-;x5djMI`C5XWoCz)wqJ3{EwNNwp}ZPG(H-`xj9q!^oi5v$6ZT
zin@g|uQ6@ETVK_oogu4kB@72u<k>rhQ3>W>m%@O*S>7d@BB?z+`n~?!B0_!UF~pA?
zLnv9*Xg57ktwlOx;44c%eXaL~D4tO}PafpI*LozuFY%ZnIS%ZGSQ0N0mOjFm+92Wh
zd5BZdZl=KGt<Qy1)sHzM^hxPWLz@B3I<x-O;zseUxVwojGVI4(>M$`DACYPLO<P&*
zGBmZN{#uoi>qCQ+O66+UWh-BN6?@~Z$x(=F4ts6(_Ewahh&y`;his@Gx!^JHIB3G|
z4}2aX${Li=c>dRsKbbMQFC*4cNkGZRFy_xs7*tJNw)98XObsM<b7bklknX<m4fMFf
zlpvnd!461ICbQX$Lh40nSwoFvdryHF=-aT$Oh`@*?G0L<teJG9pv^X7Na{UCPBSl3
zQkC6ktiu6?%l!LM@dMn}2o(xTsv9Q$2qH50_%Lvu`Ry?X=PDOSNftjpM|AD8o#=X!
z7;u^f4M7Uoi2gT_2~RnxafkmYlryB)A0Hque{XyGzVAFCj0s%RFr-RI5dCT3>m3W*
z<aYgbEn<cWu~at>?kGXSxXRQ-fG*p7MC&1V)4lGOfXNY32?#GdB;vToDTu|LDl#s^
z`6|GXp$7%gU(o;`(+?kG%<PP1y=4l-mjb)vTMCNne~9xSUE*Pd1w7r}IEQC;cym@o
zH`B&krkFZPa9lsShIs4VDVF~lQU<|6`?j}QTUrZBt;F<;Vo?6~>JcF{tM{lPXW`A>
zu#TC79lYI?admSJ2vwbEehG0xT3G;#h&OrTOk?Osl!mR1OjhabOnTYv!!3J@fH&Mi
zN)|j}YY4n6puqCc<jfZ^f6h1x`o9E>V7Opa6MTY2-36)OWjL9zC$@6fU!2bh0`Qyp
zGOkE8%_tY~d2u^RaWf+S%*Z+1_D$j&*x9{M{z)m>AhURs@fb&d<sU^~#5yJ^acD|l
z_yExOPXo4;fu5nyj;Yp+ZZ6?6h-g3G@=8L$O>`s{ci1w)IMXkbK3{usBeM7hr;+?-
zE0!;4u}%UUVkG1*|3$+D*TnJ{wPRxOc`(vwg$%6m#l*yJih2K2f&L|T{x7E?`Ck?@
zGB5`^0j}rAFmZyL=827{!SDl>Ph+5<2TT)$t7$64H|-kZYK1(0K|-njEdBrgzXiV4
zjO#b%c=m3jzaa!c^`FwKM38Ac+NF50f%avd5*{>fHgC{P+5pWp0XF9_l%P`5dc(fp
zQjgsTf=0(99F>JBT^<EOMu=ee1qYl|b4maR3w?9Y%(l`De288;@jlp5|2DluD)8U@
zU+C?>?}ras5}<j;rJ<}G8Mp!61q}AMw^})aD+l90i=PbTwz99^b2a7Z|FrKg)O)0y
znV{Oa@5U)TKUu3U`HM&Orx6J>yRWtOk(zuYw4llme$6kRSym=Ks6W-8)q(DYOR@d;
zQC|b5+4i2zuzS@hWYDNf{uC)vC3u{m*s(k3Rpr)1UmBOy8`^Ml8pd0h4FD~28Ei2t
zE4reEu9<c|COCaOD|JLAY?x&?P9;pu+(i!}KB^uRR;TUK0$^JNr`qSVbJxmhpyRJW
z+b$B>Hsi|0o?;Kn?~AyAM8Qv(TUNwLz~C^})`et2(Co5z*XWwt#;e`s#Wh?|GNH#K
zk#r|KN<P-#aM<=YnCm99e*^9Cah;<L{xEL$sv~Xqd+(O<*TqRs0icoZP$R=@n0N8k
z{B9C4m5OUQqwUIp-&n7yp+8A*KbLZS*y@u9=f;=l(ISDpHO{f$yU$S9hoy9Xf(g{M
z7C|uDhCvCj2eAkkTCvw##_%XErgG<u7lrxvEC{ZN<O8c#(kMz)#AAC+dG|WM#pA|f
z{vq3=Xm}q&GqcD-&@@kMW1fg1nOH|E@1P0<Ov$M_li{dkV9$%vyhRN%(Ka`kya$Pp
zZ1cX^1crrqzb^>!eU{)+HnIvQpB29O2n~4Qp|;NPBO%PNO}$U^2RLFvJp>v;|Kz+5
zQ(W=3#ID*!+Hawq0rU*I-h()l*VTn4aPD2i$c_@X97IV_+r+^Cl&V`1Vm#fgux>S5
zJTmlHRpxXeYE|-!ih`~Yjz-#rUiUP3BoKQ!x3h`uWjgw!oi|l|q<J06Vn92e9;f~-
z0?zj|kKy)Zx2MEpxPj!aT;lJ2%;AHh(S_$&s=XDPHEtXFRj2BMiwqvU&i72_<vP+M
zn=0GguN2B(R9a#$+GAYEW`|ZC4hw7x!azaN-t~TM6YDR+HJX0Z4bzEd!6h!=Yr6>4
zJ89v8@l%ieGoI2gzh?g!fPubDle`o+B!1;nxD;?_T8FpWB>~M~Gx6|yKuDT^KaJ}E
zC6<9Yz3Dbx+5CGvRcKm~>C)KDN|%jjfMcJ`GJ3DB6Wx9=p~f=ewzwB2X4({gS6Rab
zZp+>ogv%J&E(W@6SPiHw)$fSm6yfnWws3bWiNm$ZS4rw2Jg?M|o*!Uz@Ss&uOf<Kd
z%9eJL{8bKSyHJ^}8NkxW>!zNd7c`Be8&W6x^|nMd<nf88{5q?Nw%4UtnOWb+5$X7$
z-u)z*m01F<a=uBok5{+yp32bIFr1YxGaCK`_CHIpofRE_DH$1&y`L@-z#-uS>+2cW
zFISswjDWX>$jz`kMm2q}9nJ2Rn6K|74<2)6><kWXe{%G0QqiFh8t^<$a%@c;Qr<2t
zEc}@(ks;>d%0Rz!p}JMfe6{}bG0NevURl#f6EN!8C9g<qcga0FW@}Gh3Q2~?*<0}n
zr)F+nt4nb4vUjkw>coFTxhtU=;gvY8orxia85-9*vb56URp#sO`^h_f1}G}wp0bc4
zu*>nxu{`q(Xu*>k1soOGF~mu^$zf}(wX)o<w%>SJjmyQ_+1ulRyF8S>I-6%ywChs-
z71iQg^1U?1XJGMI7^?$hvtJd)yTjAvwSUT`Ci|{_M#P&YJ|U<?j56yWGkR>;)H&(A
zI<v>CtE+q=WtTm!L;n8%`nu|<D7UVUBOr<jT$LCUh8F2gVL+rrrMsjX6^2d`P(nf&
z$)QEKfYL3aDAL_6h%`up2z=+!D;K=)`uKyjW@eqU<Ltf9?>x`mXHVGh883V|5YI|U
zn{J!xJTo=(plDBk@pUw6q3nU;5RRhW7*0>|#=-?Mao9Dh`Q)lIAS+qX|196ehN6ly
z)tu7j+wyrKbd@pL@lj8f(vgm+cWH#_S4Iez*kkJ2-Yzz-iRU_NE4;$g`Ix1Is)lIc
z$f(QVYKy>hm9Wz(J>R;*s<v;m+4CAv*jvxaiZ|<WrSC<Qbm!%xQaxJXcQ4mQCbYuG
zI%76_EvHjk*7j%IX#5prWeFUYhGWV8{sbL?$KM6Dh$RV#XDc|-mtFpGm4B))6&Us`
zO>kICm{D~xZ)j{x3;{T7WJ`vYg6v=4$B%K#CW2U8B5uow5qa_UJ^5lA(){&%VexRB
zZpo%`(6VInr>M&%XcAIds)-Fo^w3}ugBTmXhcC8ir$d>Vte}-tG=b~X16{5~0@mgR
z>%3tS<H4>#K?5$^Y@!OM9X``+Ok;CPlWuvr*DKv983pU1CkHA<iNIThJ{0xmF{JN!
z>?lP&Z365iX7DZtQ@5-r*KBUu=5gpW6?0pz4SMA?nCI#b8Qf~riLYeP`sg~;8CGwf
zWnhi+VD;ktXuot2<#K!PwQ@Q0jzTnvy+e3b@v{sehuF&uJk-I|t_KtOY~!r0nYk}B
zjB;`@T0$I8acB+a%<d6!qP@OkQOk^|E=0(!3X}R46mZMR%Nr$u4Ee&u=czVJ!{ui4
zI@UMA881h_8os$WWX_2fw|sqT_@utRKK>MUml(;LO&!@+^<%Z0uD11B(A}FLRAc>b
zBxhMC5;B!vF3+F=)je#BA+oOYu=7&LQP#@@W|RwaGaYH)K>JND9xLlEN<OQL3K-D=
zxX$0XOx9)5EE@27YBI7@eFomu60yz4_F`~7-dWr)+L@*afh7q4TRJh16a0R^v<yQg
ziFq0}$8hoUEe!PqJjv(Z=;n?MIDh2~nSn>X@BL5DuK0l~uKl=UBaUzI5Ud#_1<&Ss
zOIkA%ekGQ^A@n_cfe|Zsw%79MkG;JVkn)e#9F!UX$pq&?qB&1Y)0p>xZTJg{{{S3t
z2@)i;?Yu|hz%Sk_Ns{|zi%w<;(Kdl@5qWueoS^=}FU!o_yl~qZ-=CZAC$Kt#IDnKC
zxameYEeY~MBtHqX3*t65HPP_#_1H{qrjpa)ynp{bB<gXzfIWY3XbvR6vEj0~+5(U~
z6>UjT`ae%byc8#tf3z=!ysYo*BLhjt3Tnjz1#-_BDHdkp;^PU0goJFJ-aa(?6Lk4*
zhWMz46i*j&OtS+ni`;R8f`Sa&FxT+~rEcELaxEb3TG~!iFX@oFfB#KHPd|8QG&Ex~
zRrCip^sq(B6ItZeW77t$5I+{v1UCI|PQc-C)r&9~Y#gm)=i9_y84_L0Bp`nYSK%z2
zSGM_m1f5K?b`J$-W5^#E62gJm#P_Y$I_2;EP7l9F5Wf56b8X<c?`eA1m<jg2eXf1i
z)I<ncDcn;W)9235&qvy&o0^*1H1_oL++XPD0>x%XcVA?y%HhfJAK}~CiNi^a7bkd|
z<bGjTV_a@-?vR|1QXlVnc!-vj6}1iFwz!XDeeshMMO`})96W!j4ZxLo8Kibd@xH@V
za|8)zFcv)ZZ|Q9~^AxGA9e0AjgrR42;wc4AaszaoI%qNW60JR0u3{SbJ1^s(74<cf
zK<1(1@V+{6Jps!Q+{MZ?piiP%<K^j|SdmbAj=<uQF?c)3Ut~qWibA0j_4UtVFqr14
zt|(PCH8muAxYX$A==kT)_kvn%v@|uztyNT1YF+AcSBJ|T+B0sE722BkAJ;9YqD1rw
zxA-}@li$2nH(0BMc8L0EU2xoMEG#rkOrMffheJD)Q}N77?8nZtsOR|1%vh8i?C;)|
zF9Tgn1@DjJ{9U=;dFx(d6f@&a^QA};a6txrdV2aRRujI>gT;~gyO%yuVpjrn)YyZJ
zB%YF{OXmt`-{g`_m5Y95X{>FmP~59g=bbEf@OYolvr8&8pMC@F62?*Ge>GL910AOy
z9(1w$ks?ybcXPl@K!k8c$X)%RQ=4<-nuv&llexK=vC8g`uabt%pT}V*aEXyPKmYl*
z6Q+Ot%9TRRFYJQ@BcNw&A04$*<utB4+tAv|-xw+6u)Asdx2y1cZgDY6N(F^}fuXm|
z{1{9&^x}c1^>|C7qXGY4FaiWL_~$<<86T{sV_hT$`ou*j>bm-&tn|&B_If6Vud`j5
zot>Q%yepvEqqW$xqr02lZSEyw;%7BoU7Lf8eWhEfcl6}tB!98?i@zBHV)Ect&CUye
zWrUe;&B6Xqne+GcS!uCYo=qFB%Fqhkg38LFR_(DR_jSkHH4T+E1%-uOf(>2v)uMsF
zxq_H!putiZH*lRVg2X4+II$eUWsh?;qRtV8Y5*7cGu77Cs`I%SDXOVOt7PC8fcyQY
zzBn%qGE{VU<}_Sc?=%kx2uRP%yTflgXrh)9zce4hCE~gLIdIc-cuY%6i`#Y8WOjBo
zAJgM(smLY!x{UJU$s>9}5Xa!~)WOoyX(2&GVWU`02?+_q&?I40_6$ZJj_7IwC*zE?
zwAyTg8t)$~GSj7agrpxXUF@RJA)*o`@96zo<8_dyTRQ&7^=|pw70%j9N*zyjCz-#s
zzFZsps6w_yd$<M&ALPT+#N@Z~R+9Mu3)nJ(exBro7q{d2Ti%}i;yzgydIx*UPqnzX
zxN~fbV|R1W0jB9TG5NJ6e$p+;xg=)q4W_^qphXtzB&n=eDYM`Kl>13z_yQfxQ4+kk
z1R*z#FVEtEl_xIrsb;R;^I<1bxJ$HYa4I%7w!m}OsiT5#wjpB7Yd5z)zHfSJssUvD
zGtkl1+DR*nEhYDX_Da{jQ;Ezn{(yT_Ixl1N=s_kwDsN98JUNAj%_-kLZdo@F{Re*q
z1)Q#iY?qdelateM-G1W3Q)#hRAsEM<0rMoGo`Dk#=iYmQPUlcH{dB1&JJoeJdRtrD
z-dwn%PQH;pRBzOpR`Fq_J>>?sprA$ctX!1D0^Vk;$g<#aJE42SOC?$Sf8FB*t|T+k
zkTt4SI*kNSJpjwr4;~5q(AW%M;&Ums=%Afs*E7>nS2v6L7-?x^<7fxExxZD2<CO#D
zaEnp19}`8K6Fi8Ut`>8@4!bh$p#K5V)}a<3s{?1T2z(Ym2fo_Jt>VE{`BHlqKiiLL
z9i3ZT<n!|QzMd5k#y2@?(0tx)))JkOk&&jZq^~b#<yz%GN?|;THLBWpAbxaC`Y;^d
z{4W%Q+K-UqFiT6ziGAFC*tN46KAuLCF1-5-1BJi`jjFPNCC|;zhZYE!4h{|76pwQ>
z$R`rp#=53gR1B7vaDetZY!X+lj-Ly0-LfbgYY;f3f!#h`b|512T8?1*5`y!q#<OV<
zOnk%7%={(g3}$pNKUujC(7=};J8O450ibN%09A|`<>dnnHM8%p>nQjcEqQj3a_F-@
zXS&OuO<+|Lqdu2N^VO?#MVb4EZV<%6Ct$`Yl-%%;pMfd-`Ez5{<Xcw)0|P?~q<BU~
zMwE4Q=2g>nLp=93`ciqyd1wD>+S}c_rJ?b{p>3XhI8({ZPrri18~F1|*%sC0CqbUk
zjAWp(gq{Z?htfcEM*xk{!_US&0v|#Geej)z-(Atuw&YMbJFy2}7rsC4)6dhfy1HsI
z-<#X}SN-d^-{l`VIOO(OU@ezNtL;Unl<uZ>Utr>!EvWM+B-8F&I>^e&xp*$z@)|R9
z1gLx1YCEkr#B^^k+QmF`V9Enp?B9YSw}BV=+c#Tqfv>{fVBMFi&AT5Q?0eEB$x3e#
zJM@*>4)N!kXIWyc08ER->>t#4@y<8`tM7Yz=Y`3joSzYhJx;wly@v7CG&OsRKVruH
zD><~Iug|l+vvR$B)RZHUh{c*Io_Bdka*ytG;NlW*8(=F>GaQtyG1Zc`w=AQKJwz^D
zy3_zlQWtELJ>3t6-41kzLVGAI5)%`ZH8m|3B+L$$rgs6DSl!zi6A7EkDYAdNQx~`Q
z_2NU{Lzy_2V52n`+zwg=m(ET2r(80u``5(r98bD$888Y93rqPS8)AwQm)bOKyS0pk
zFR<6QtWd(?plL{SG|5FCsrrAt1VL;EEa5YixONyIvi(=PX8{OR=A!PO-{a9G&BbCc
zR68Iy;cP%q&>6bB$GjI*SsAhpPs+?g-a7_k(a7V)>;c}Vz{_=>Mr9#~rD37@b%i11
zmQ1{eb6(;U<xz#vBEV>vpDY=)TZ+R#f<#1Tr}AV6FkE?W?;0g^P^^LX9_oV)cmv!A
zZ@R0};V*V%af$f=+e(y5-~9mFA7~U+RE&p#*|G%^QKM5*XwpQZx$j~`0hoJ6uE);K
zj%K)pCO0+ty)#3MAb!Ab>)wk8tV28EH#TTn2A0K(vA44$)sv11njI)KU#%q)ug7A2
zx;#g=y}`XW&7=-eWl)6tXCj0!m?M=3y^agb!SKdzM0lQ8W~+8%W8>j`FPpQ{m)9tC
zLMwWHZjSqVh1Z^2ET1)6N&1)?Q)z%A;FGc(#N=v*E-sqGNlNyqoKtuJ{y{#G%A{8D
zd`VyvRA-e1)4Jy#BqUsScari3r9P(M_OFOVfh#wDGxYx2`2O<cYDSuI4IgZbfe;4z
zg_a(8H{DQ)?Q@WTlBwb6=lAg2xJ0?@+DjGEkHIfE47A;Y_;`8AN4m6(k~~(Q{>dIg
z_@;qLbh}kiUDPOKH*fKlMyo}PCS7xLva{vIKxJY5V&Mj;;gPkq&HVvNUjt%WF+<hv
zr54!m$A^Xs26ljmMmmz8VGjJ$hr<`xOGw4eK8R#f;4;D&ptRXwgK_8v{A^cp4F0EK
zW)Tq`r=?+L@LYGvC=W8RL#00gN~aZk<#-x=C99g8l_mF#>iV_U`qkXoaY7C+K`FS_
z8A8I))i<VgV{h3i0^>@(m*4K@d4LY|kx5C^CF~vgzvqHx{RS4G`4l`15-tnT-rH-|
z@(S7@D&o;-M&L08W-aho&U=qmbPCL&9WV1vVx%}|>MNxJvJhBwN^DN+B}qFzh8>;r
zi5A#=npKCN00pFDkj~DfmoCrG%#e5NR8@&)Wo1Qx3uZ#M*#^#F#J$<cIP^h3r93UB
zVz;48U$Mnt{5{#<F$_{*IAmqY<~g&>;KTSWLqkL4vnwKupu(7PV+Wj{SzbkjG_eE*
z1V|BG6m(unSl`$PweXgf4zL+6Qv&6|{1XCaj#>V9$ZEyw)`@}i1X9S8#+i4M&;Y|L
z&9ktvMS~jQCw84l7>wB5^+~l?P2%>WRm=i*!{mk46^;*q7jT1wvlT1SWr=^+1jm>D
z0)i85a#GR(Q1Ue)b=g_X(5-NkTmK@T7|N&J$$$pYua`9^At9l|&ehtKjg3v6a{-jN
zQWbityi~}C8Nso~A&?azKv|0`nOnci<x?1SQ!I~pdU?5P^E9frAKYvy^+J2jrT_rn
zFxS^()a$AZr--QP!7i1XfvG6p*OYs4TU|{}4uvW<F*OZEQBEDxsU)ORi#M~^fKG{v
zkSZ$AyZidW+#1ui^vcW2)qNEFOc)p#lob`ntEWO;6Z3lq2d(hlJ394)2G6GV?|&<9
zGc_}7jAXc#<I@kaAr0I)#E*eQD+na!uDmP-RIxfF?J6uF0;lKaD>;&Cu*#X=H#Ij8
zW-nd$(ywy4XNw*KSn+#D=-S2_zz~|*B}*OHApqnvs;YDuZ^vC+bNFdVhhaO54#W&p
zT^t4?X|FfFvo;OIn{uzc3P&fWw;Nlo2H|M58QWO*4IIbQOpv4e>p(7vU`y_s{YD8S
zha3@{)GV#73pWv63}N4&q8PQRIJ#TbQLZn&M!gR_I~d~WkB&wnNI~Syzxsd(8jh5N
zRS?DCH#$D|*qa$OtkCVe+t}9T47*pM5sP1U%!++{sKG$5ZkM0Y4{`6ri0s&?Nb_E<
zd(dpa&Zy@nM{(}G8Os-cP$K|?B(5r-f~XyhCJ^x%-0hl?8v-W0<i`a3B`V_o9|@3w
zUA+b8|C*K<n8qW;^z+BW{$=aF?O<66N5VS{|JRQQfH&|`WUu^}RUB9f@DI`onzVQS
z>qiN25F?a~5I(X>hwCND1lHQ|hP2<&82H=s9ub3CAJd}#qZ^>A$9F&snh6NOKeBBe
zst_02bqH?G9g;ahngBA8_Hz{Hq<@n+`lIByLDJ?y-Br@}aX8>l?&ck-JW0bx{|5y2
BsI>q9

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.1_8b.png b/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.1_8b.png
new file mode 100644
index 0000000000000000000000000000000000000000..093e20fba7bf750517cda263d7571bf76f8c17fe
GIT binary patch
literal 229019
zcma&O2Ut_f)<2Ah0v1|CP&!hSj#TMQkq!c(6N+>qp!7hHq7Z2+RS*yn=>&uTQW8oi
z1_h)O1SEjeP$DIS_K)Xy?z#7V_dU-ScAh<Z_N-ZJO4h7dvwpyg4Ye<xyLyg-g5sji
zU9Ec*6lY)*6sI$3&XRMUGlpF!->BTw4b&+ps*}$jI-Vgvb35O?XFx#_DnLQ;IEI3P
zM9zA=L_rZCK|!(NKtZ99NkPHl`?}FYiTonQ#Zt%Bz<@%CoTi~TbBc-LG&yyO{6}%>
zD#fqb$SDflQ*8fA-#c~vcNt0widYW{s^4X-$@gEM=j87%nm_NS-<<lp#y6CIl|BP|
zbNa9JX|g;N6tu^cGQV!VcdZ^#P+aE!^*yC?k8hKLg0j!U%+lY|KwrVx2Q21z-^a;C
zEEw$ji;6-iSb>}byZAeD2ZOyIJW>c&=KZ6D0y+IFTb!5sk0SnF%Dk2a#@w1d4_&xr
z#U#Wecva4Eb8{;_yzi=TPwUQaa`KZhue-m$uY$OEP*9Lqkd&CuLpO2BTeohBOWYK{
zc~g{JLiAC{1AoV0(Fc#N{aMLh^=P>~a(?LH>+j+7fcsayj!r%S{>r?(zZm`N^QWBt
z9<G0LdhqCXv&an;|Mf;(QcObpf04Nad;A|{zux>w_D8$^WT*72G6k!9E{}Y?1Ad96
zA}KAc^aqRo$o*TuKPmnuFn{3TuX6J@$$w@4H<jhz@BfX@zvuoph0#L~7jjqrDcNr(
z|DN}6<$twL!Pq0%#oJQL1MKqP(XZCrl#wCJ_CH_!H>swNx6eaUUq@#b70KTu|CaUN
zrT<`L^*19)SsB@XXY_Bcev>MR{~Gasn*o1LuRn6h^GoHNlK8*os>(T6N1t*E3N;EH
zEp@ZtQ)^QbDfc^H?S;e&J#!KsjdBu~t)|Jk%}vY4aF@n<YNfM$1_;szB_I%1**jB*
zjE@u}(4Tki4pmq*S6qJiT&<j`X*|PeCg}Q`H>Cn9)XF18Z?E0FR&z5xt|u=$M~QKf
zNFeU{?cF`$pie#>xG^1W<%RF3?v9Oip89^5CX(SFF3W3Fqx35}+{db8cf(D;{8Ley
zNX}EdTiOw!sBmAE;vjKxO>QcU|NHv!n&JhqRdwWr8vBdjK91a#Cu%e?|L2vbMvFf3
z3gMvSVfeqVsyj4VeD>Fp3}ya_wZo;zICMery!Ah@qbX;kWQ2{y75sCPS#NXmZe17p
zc=`X9iGk89MokMRgIh9_`ls%=!x(p0>6vcjKlMWERUU>H!HMz;BNzT@&`hX!nUdeW
z^!l%^D!b#bw>~BOa!+@mhPR6^<?pe~bR;*{Z9GI$`9CCdebIV~n!SqG6>g>??4*B_
z_HU+F1gfA<!O6?NSyZu{62=7Lu_J-&-zI3NS4S&W`%>a)21iUh=#_i}@(R;iFgw;E
z0c+;fj6Ud-!=L?4{%aNf=SL8O*Nwu$UhnbunEF<Zc^5l_2%LtBr3th0Da{%52d}G(
zjb#;+&*4~pn(Q5@ux4}@`(w+TZ{&v+u?IMeHE<iw)cI{ag<CYGB9mt2Ylxhyr8aqU
z8Ubw<SJ{QW_=e#%$<=m#33+Mkfhyll8JB0LX3?Lpox}KsPXXXbm;$0%V<U3lBf(e9
z9@nd<(ibM}t+{Z+0C8#z9UyXv<dS~Uy)e_SeXH|5<`tja%$==__9D<RvKhFD#CHaQ
z2)5V3sKj7po$F#L5;=URLi7!Y<UJ@NzHt6U!|%?K0F%eVC|ldf=#L54`hhlV`>Qto
z35&fu97*yN<P2L726=RIMT99Xy@~ERch-Ddaie*tF#Kp|Y?4u%{cGQ?#n*wuCfbOd
zRf~;+huujW_)Zqk+M3IOWH<Yeq00Vz-;YkM_`R73l=3lgE^&&QE6i8%XnSaqR`B%z
z-L3iOCqRo7tCaDenecjL;`eBL%igqCwk+6lF)spYF^bf$Dm<D`F;Y+*=c}6Sxt6>p
zpM{2-kqgo{KAabf=zi!8mrk46#ZM|S{@CoG_tEAG_gCB=(A3UKnB+PkcK4kHpBrP6
z8n(jDB`H=a67RoMi<|9s%L@-oZsq4-<4B9h=?prm9Wq=EtNdnRA5y4HS}MTT^sB7K
zJo}*6e34Dof2VB)4KP~6Zu14ge(p~C)YGdTR;`}K{*V_-`5||4Yx`q{eP~I`A)(hG
zZ^*|`d1v^=(fc)W8;ulEs9mfVzN&-H>la7G<##D7ySY-+BP_L|U@j?qRGt7WmEe&X
zYS&s}Em0?hst&m`YLhdAUJP1BM32y5*&%tsIN0u1H&?x=O`X4Urovt{q|4>PghjaF
z(QqO?dwgO&whr0=o~+yLV)OCeFRrQbo9n7XX3P1kAC{^npYwLzc+{^vwo@q8Ctr{Q
zS^t=W>gu%6c2V$>I)saE?l-hXV2slPW53*Hv8#2rd2V<RLRv0Tv}XlRH6nzA_`8Sv
z0-M(J<Bm_pos$Fb1B)*elARlk?Ng@bwDV%IaehTz&3?<(s=MRPP5qL{@fmf+P{Joc
zMM$_k8;h^*U+UXRpej^q#_B!O<e%!#^(Dn@Tg>6{!N!I_CO?UB`|^3MSFv2s24(Wt
zP2C@#PYJHhbg#BV7OZC<W_@R(qoH4ukra@y51eqx8Bn(^4K5&X`ycJrqwoSF-u#>l
zP;HnA|9u94&&P#yL+)#=Oy;T4rkz*JM;p9iF1%Hk<j^|P7L#M3b!MT;3nb5U2PQ>z
zp8nMEPSkm^C4yb)6oJ<jkU8J^U`OJUU~x#XFXl#(zneGdZGwN$RDgxx^!6EEXuDkw
zjEXKwIYLZey*ifF|K}IEASV=Ielhe+KzX#p?D2>NXllXeaBd8Ah-1l7`;?>t*snHk
z=~MdoIdIg<Ex?I+Ciy%SZ`Aa)WTipcP;B=Yau@ND0k#D>-d~*Dh&VZ@Od7Kbvb!dP
z`?~nlU`O?6xP$qqHVn%G>l{)++=!K3P~OEN4|h(x;qzzSW2iIr3P1qNwy+b=jECMx
zB?(_Sr~oM1*AI1@d-X=YP8S|-NZNd>r_{zJi`@T_jbCrtSYLrI7iI(oh`g{=6zEdj
z88*!sc+lJt=bli%TRIc+W^V)zMF2EfxVrBiC7i|z<mYAfs1k1W0no~7CK2?c;Rt#0
zE#=Jp1@VZ9M7<eemz)9*i0ewy`A7w(I<DaFk%pHJ`+|@)Zsm4Mj=7CqUaBYi{Y|8+
zHNF!H3}GxJ{r29)@tmOPiEtHnO^gZrh#3Q~pMgTIO*^5*%Xpaf4qnB&s6_9l8)<J<
z5W`%Qu3=YM0>Tkj%x`ru;g^sH>#JBsS(25;?<Ml{P4bdiv(_@s`Nu*>R`)5g8k~`x
zR5|Y69~5;Y7zIQaf@y9{XJ1&?EB-X!pfrAW-dN1ByOhuAD_PIU1D~gK=_<7I=Eq2s
zu?M6DniWd}5sYu*6ru=mLIT(Vfw=-gsaH%oWTU12XvG4xqQ$jy{gkOaT2J`2IFg79
zTu8GB)G#l!TY06r(J+^^8>@Pl4``zi(TaQmJV_LerqB#~!Sw@s{s9%WhHUk~xm9??
z(JKC>p4c+_4WWSKsGW+y*mBTb!Lph}tLpj-o}CJwOT?F!Ra!r<Xhz6D&14mAP18Fd
z3#mOxO$S=C3!z{3R&bn*_rjKSgZ(+gd0Fy_WS)+Km_#Q&)hJFCoL4qlsvQVo<wy&x
z_9Aq7@weamSxO{D$r?kqA5#eKb)WIjZCwy<K4?3be9%+@alfXDoK*}EJy~|<qzM0+
zJ;VMnEBgdWPWaQ8){4Is&#ny!VK9NCj!BhZri<|f@`rl1P0R1I8<`iTYfRa}x?J^`
zt*2}cmiodc_jY7tSK^DHp5FJMTf4bSMaouBlGEyX1OkTFVO{)m$NPCFA;S4qEyC`r
zU9NLqM5C$gFyG~zFV5QAej8W23%opvRj^+G>5rGstk!ge9;H*1_Is^%s2^JMR9*n*
zA4;*;pV%wRy_LpBD_rf^HfsOjd)?KN$&I!XD}*GJC|oGAf$beN$G=b@B-R90(3M>w
zTHe}ub4IY+_qt(NrSfd^%X~{SF18Fg2*M}a!WQ|rk`g4FFr&(>2Y>3QU0yYLZthHZ
zF&BcnlRJ~XtzUYbKs<!GDn>5e;O0WV{lcrb?E6fY;!dOQ;JSPn#zrY)F1DY7a0ryo
zMM0<-%dn}D$)9BMCsw4}XYWNltoYHim<v(Je>LD#_>MUlt<QT-eg2hO?y`4HR&udI
zGbSMaW}3R%hbSW}Di2CI!v+O$nVuS8R#{UT2)MU@Rlah(X5!hyV~ac_y{)NOF4_{r
zA-KDl-%M*p=+1hB2;eSvva!80p*OFv(fm_EQmdtk@0`^~&$O!%`wB|4pOpj85nQ9C
zN1*eCViCJ;5u+7XU4*|rQJy?2EDtln(q$vWRZ`xglS1!munVj)dew@mR6NukaUArD
z--*@v$>{Sj<l^2fq)mBV6a3gR^`sa0nTWyMPw?ZH_WX&B-z}TMRf>#NWG?6hFvKR8
zCVE9<3#o6T&B9xikG~7Qt*#q@qaM<J1}gmISGT-{8KOt%9obDf<n3OEr_qedC)^-j
zH_Z`ZJzrkShjntht#A;B*4Vjn^tFRlB$1iq0^%OdquG)N{7~xonna7HvOgv4{Mv`6
z$KoTWckuYNeq`RnCr*uPCKHxF@<*?~u$&$_`|e6*!NC#tgZ)_5Z8vorZl)R?t8m6|
z;U2Y8N9HpupqUP!O87x1=#%j-FxT7Ebp~E$g?zXGg0@8_E8BjhuN{LnG39*$cC%5h
zhVMCXom{A~yx#P|;%YO~@7;sLD6JM>ZUBAP@t-DZ3r*&?bczqDpK==pN2^n7T^{RH
z!kjp!Esz2SYb%R3dl=UgyOf6-l(W&}7F)vNZ+Y6{Saq~`WG^n-><&+8r5i6i?-H_z
z5>>|tUElox#}xZ_EH)Y?@aQr^=d}lTZ5g#DH0P@xKL4&+TkZ5pLSxu!$!pX+_u;s1
z15YJmT%438!-a2d8~0AXNcGh+a~5pFcxna$8fZ3F7Rnz0)dBbPVvIRKRyjH`2js<b
zinf_p4RdgxjGZ}J4}t(onQ{s@;=hD9Eod`byL5h~u##}io{^y<v#y<Kl}WcWN62R2
zEY0H;Ld!-t9573?Q#ouCz&}I5TCpsV1`1L7;ovOzu%@CJXT-?4#mYA>hmMbSU>`sq
zS4ufYx(=*rY_0|{6dj7Tc=e4$d`p?(%OC79y}GEQ(P;skvG?A$&Bi$+hkca898s$=
z29(8`lY=MUGFbX5SBD4>jhdRt)|4U_lM=#w^44a4g>h{x35&Y9{Q`7C8nX-Gv<*8s
znAwQ2#NXw535+1TxqUJVSxh?@?6ADq*x&uk&Y8K|a`G@9MT}1}+1mEK4H@pMG66Y1
zO&h}I1-|j|%&UtXh^?pNd>*#fG&6PWIGw(F6HGgE$=D4%B`b!7o3}F?wM-Q2d($ov
z;IXd6?YYZ>W5mxNLEVj@#baf7SvUc4Txj5aEoK!uP&tyv5#zh#2tf=%kw^Y>B#Rlr
zBjV9mhesMu&WDkjyl&6bnfgvI7s4%96$|e&=R>o)Rpu4tgVIEKh&cYb&4IJ_Oa>t}
zF!RYOvyW|V01Brd_<IxDDgv-1UGPfxV*71Q{m4~|;Qgp7TxLsIIg)|q6rL#OzUI#W
zjZ?It#+@~Bl2832@Rpy_2CVJ75?`uy)`_0+NgTI$%CMh0QlMAhaFFo{EdU78aeMOC
z3&ZX*))3}(yE3#Cke_z9yi#BptqXX7OHvMl<<M#Pp;YDw8R?rlswaylYlNzmBnLGS
z;Cs@g8o!W)#=ZxX7u%lQbz{4L6Is`iYQJPMs_xA@{#w$qvrGlIeY&!9dII828yp6|
zKzXGtji$-?Ig-Fc-w_JWwHJ<%&u!>nALnT?mIXA@CIbaL712^oY)O<aK95aS44XY=
z4#SE7Ice7P9P(81b8eV6nLlODCdHUn#8g3_pOpfqKh}Ld7C0QQT<I*FhZVccVWD`T
z2FR)Ci*pl>q21nX??hr_#`w?9J&tWWUkQ1x#=4D7zeHsW$xgrP!(aX|t{96Vq~`Z~
zdQ~#AF6i*dK5&meEW<YzDchKf(6!Za)>ZixMk@(}!jt+(p3qmg%AUQX=Op)lxGaTR
zK4F$H@u7d6V0x(UFmeYG4;@e`SL(E}k=iYmdl9<o@R|wqS|~e_GyO*Nn+N=|`6o6r
zBw&zTbE!7!^+NL~FilkTSRmo2%&A(8q<!Q1Df3Qon^mP!@3q=f_;Z?mW&Pg^FD8^y
z_jM_Fa10U>Rc>%3tyva(hq!0&?6+SIAtrnsC5AObB$sv+dtqFoooxrYCLWZJjwY<C
zh!f38=SYu99`s%6b4K_f(cG{wq}hp?V8D=y^0)0<-*>JjncwOAYg0&1)fKVQr-{E8
z`+FZgZbYS@WU#)vIwkN5Ee9~rcx>(;Bkt6>DWsC(n_`p#bc=cs{l;z3roHr26>}^V
z10W*m{EHr{pnO>KCn?A03>vmVHsziv8K0_YB_dt(jRE&l0s(#=G-Y(VX38|8-q)nF
z9+%1Sxbm>Y_NFBb+@|7t|K0ToclF0LR>PWch{mb2YmSPiH0_ARn2zjLb$x~mUn$Ik
zG2abp-sfR@sav@l^W=Rlbj{JLWe?jn+9)fgDqE7rUD*ncp=(b*Kr`Wtr&zS7(LB(d
zYvzOQLotH+T=h*7ZComXjSR%?^SBH7^ckVP8pGFyAv5&jUMJAkFUHZ(ok9Br9g!{=
z>kr2ZZDx>HsR3z)qSbEs{_E!1Y(Ks$OnNc<g)7@D?MaxkXcQjbk?73DM=5v=kt7{^
zJ9whZ&Nx5uA{EP)9BVm2U!rOo(vx?<bu=q3hz755*3<LRV-g!eKKy;*ckC6%dEEgT
zTiaRS7$<%972wv^*T95WY~|MKGhy<wFRJC2o;()j!anl8mMeDm?RvvfcGSaE$FLW7
zYy_oA?<1*|y)9v_0&Oezoo>whj5I&O*7iR=hm}^hJ&~r{DyxRbo8?r0RRt#(fMMbh
z-f3=Oa}bf*j@dWt;X^{6d7`BETe_32Rw`IA!|(`mmBV}k-G1$rPW#=h<<YiGgMl$9
zV$LMQ%)X#cCVgwf_he1VIC%xc3B;9OylcAUsZ{;JK5y$W13-3}er5J&_IP4`==ZYq
z^{qr%g+m9Y)Tw{Dp=$KWZYdFncwOut{xtnFr^vhi`CmKrDXj^<NxnP^2Lkw|PO-!*
z#O+A%1>H^4Q_BXf73nf<{8U!z%fdri+9_6hX^t=T8u<8L^<>WjsPCKsH~=C5AQ!;h
zahJgdyq{IZXeH1uO*Gnz!z$WI*{J<&WhXV*J?63bEQ1&p*`Dmp(!La`6o@b{?H9U0
z#&hLj0yhn^`hBfpw2*Dl5^88S8yL&sW6=XUfW_3)GtV&fgCh{x^tc=J%d|Bqm4lpp
zZ~{IrgDsY*dH4Rcws+!CFP2~1wx%ChUJ4Le9xWM<xS@8wg<brxJpv+}im<{*(ma!6
zqp_j7<<yr9-7Z*Hr#PVUm?#1>txJsDnc&-m9jwe|9ZHPC<D7eGF=pC}of_4~l?2a)
z5*3)0YL8KiEenY4QRTx;ezlVLI{UYd6W7GUyOpETVvU0D7A1z@vkqZVSlb1=kne`>
z-9y3L$iptgD)Oi|+|Gp!H4J;~E;6ru{AfF*2EKcG6jdhb;8Ol@=|Ibf_ra7nsH(=k
zEF)M;8K>CRZy958X7>g)wF>&hfUcQ9D3eU}w=rWR_h=cHVq7X_^ObRw{LJ;4aV-Z#
zs4aWDOSOniX)YEC4p&l2VG+PSt5cIk2u&QI4w_J_!3W+qevpz0$44_KEyAX3j$B<p
zv!5x%H6fJQz6*U`aGWz61Kz?a)3GGU`+LxwNVTPnrLKb)$DsMg&S9DGc4DC_t4}Fs
zR}~Z_J$<0RbLFkFLnm<GW&+%Fnce{*=UmrVoU+wDYa@q^uN&;oxJdh#4l|+>$gcQe
znrNEwTZdVyQwkITcNx751ZZUt{S`WrexFt9sU!i%711N+R0GiKU+-G;W_=Q>e*F9n
zk@qF08$E@Q#8pKTKV&-SrgDoZ#{2AKjU=G~yVX`m;AtaXrtCL*+U^2f*JrfYs8c)v
zzLcl(PqDNo=*Tg;OWMT44&ON%RWzn2Z(EAW6{{Y{aO2KIc4DL!idi7|$!D~Tk&l<B
zt1`RJ@}8HZvVg;U2(=o|9j+zT61eNu;A+x0`s9HQMIFk!n~o!TcB@__es{&D8J7D(
zaGk!GyZCyjdqS1llMlNFRc)4e-_L8@WK-hv1HO-bqg(ru<%gE4hDe*iz=Iu8e4^Sr
z14AJu=Q-}E>d5ah-;m>Kk8y5$)yyRQxP+J+fzH;H_o~OleKR<Xz{c5PyI90-fp;Ct
zN#&b1uKhS8GjpWM`-<7f<l`UKg>IT@c5Wd|oD;=LZ#gO}EnW-x6!yo+Q|1S%@gWz|
zZ4@FHwP{1bmRl>vtMgeEZNe)qR&iZhd_q}=NmCUY2jE6pqQW><HrifonKjkE%vdUY
z-7Ai2ehcrhQr?k*N~<vWA-KTSY+Z3Vq-TDhmPBo=zG_u=MU0+}r+Z%4jx|Sbz2yNr
z&$H5GS>52#^jaOt%33V48ffP?AP_c6R7ycLKb?%*!!4n3pNwYeoL)6p*M-RQ(I4Y{
zz>jXID~<&Xv((I1=T#i)p}T;pgpbRuaIW$BM+1vR$X3I-H%Lv9#q-OFlAQDD<6n&A
zNzG`_)$c!}`%|<3a_;}U%bn-@b7^Gw#vdMO2Na`(pG>t}zRbj)xqI17n4?TJ|2+mS
zePe@4m|{T`Ov&-<{mJ>vO&2H6n>O$To%^!O0(X+K(0e~!*(4LgW31oux4|6R?*JCT
zr~Oj7C3UzNGP%e2Ca7}nsuep3S8GCnV8+044|A?IS4(fpVkMCnriT)bMEH|u4-F3S
zV;Dm~L|M15z=iLQ3-%Sm0>cajRc@MR7Rto)nAGC@!_>IDUdn5Fb88eUcJb2yIm-fE
z1#RLUQ(b|dLGC<`0@3(kPvvXcFb%_k`C4{A+Xrli-fAA15z<zom5r(12wPN~;_=z{
zWb^*|ly)^nLc<P3amhl_S&*lP{==3zEPF+rYG^lAd-Iia&t#iQpu5lXUbv|Eo^H92
zz4=ojHq}|ahguOIO=B*stW0w+0~7xxxEPRUj#_zSkrcR;75EG;joHM?><#CSZ{tm<
zk2`@}rP8>{z}BY}B?e?$UsEZ88o^BI2T~&23cX@rOB=@;<U6tWCr;|$_p<1>AH5c8
z5c@6;l660iO{tDt^1M*Y+|P^}6kiajct~s=PkeGyNlTJbc!rpiNSb>a=3>FMo>AmO
z5|Qk(J|mo5R@qqk%j3eK3D&$4^I)#};e1&VKNDM1T(kEz+{t%p)uk99*dWwHGG+Q;
z_Kosn$F~Xj8_M=rgwn*usf17<mkg&N(|kU-cXCl6yH_lvrh9_b>q4s$%BiNh&r;&^
zMSAC&#~HOz!PxYhO4oP5=kRG47o;eqsxyt(xbIr1;%|P+`>mrguaOTs7JFWm=>F-B
zKNeK0mAECV!>?gkILwl${{W^TFo<SMF;6+1br|$&*Ja)8xQDg_Eg<go&ZpCO5WF6)
zYG>=4wQvc_TO13J(0Y*)&b*>kllNae7V*K!G^H!-%e)fI{P6RA_JbAs-WeI;u?G#a
zPYpB8Q428(@7c^R^E|$rK<oHe!kJl^ryzzoid#M9`%Mwgs?JD&{U8(I-2&wJn#krw
z$+-Th8IbyZSc!@^_k&_#lh>K|cf=wX!S!@NbQ(O~FQ<2Ub}t~jTIwwN5{~l+&<lXv
zKC_^>Dj37Zo4jj<hv&&vV&#&sFNtWe5E?D>BXz6r7vo1yyv5n(BhT}A+dfYw9@;c_
zb>cx8hKg;kY5J(U&a91S+poAP`R?Y%#T%%a*?mhX3KYI5JL0-;rwDLMja%V7RR?-c
z5<wUHbUd`Tm=1f_&sdfCLQD0iuWhkQ%lTz>k0zyRRa{Ew`7TDh&Q$Fyofxo-S5VhI
zB^bJEXx6VD!_cjHjyE5=I{P%OE=E0y=e>E}Le=x9@OkG8qe&xU9T(d_5@<iJ)to5M
z;XGN6c8zxl^|ElE_-<GF%Pp7RwM`KVMWU)cyaUWf3yYDGgZl<QE+#x-Mx1PMoqR<c
z2{rXPY-+Rd;hvR=k^E2*#YLfU1tM?jwkQ@mEk`pw1H@Ig=OBqGH6!ha6^rbx=jj8L
zA_30PZz`I)=(Z$EVxM#J*+TFLyQZJm1}o>f>N^o>Mds6k2VtzPUzuO3{<ZuGlFxPe
zVb@F(|D0JzMy>b1-cRc>!FkaJpxN6Xyk-Wi28Xm~nMnYL6f1yfiXFh)iOcVk<Glw=
zdfWna3{>w#*@RHXukN}()aT|gvnkZ~X4GE_|1$pUo?o1I-;sIJQS)U;1=RZ`ob<{)
zgT^%=W0l`uG=0o-O5E>>GC%fuJa{cAafTSl{r&qG(?yJ!AIzMJ+UWw9nYBh-sFTrS
zG}WRGx&jkXvgoPlEr?-&!?;(}<H$2fO>>)Dh%xZ#Dq{Fycc<VAV<C+YR>UNg#vF|3
z(^B=ODZwd7nCE#;;s}v-HtmLKz4Qc@jO)@Ol)z>axBYW5S}y6Wvg{UD<e6qB<UF1~
z9bXbY;zTouR*dr*dz{C(!By@lrJ5tz#fsKF+y==<fx+z=%x-3!0q{K6hJ=w|xNSH(
zS{f=n%@CI;hkalDiTFeP)ND$){7$FB7&{?L+QB%sw&7Otx%F9XR++Oan%H;Bv$Vxj
z18L{56QgaXuhJVTQSrU}ncq04MfA_B;D1V&VRzKnbyaqSi}{^-5ZLAfD@!~Zd2E8W
z2(d4#hn8@SS{j49WsXJ{UsQX`H@LE!bIm1H8>$kp!5BEk>}e=#G<uA_w0u@+HGE$u
zLOdU}#-t6!YAo<0gE_T4^e|tMp5GQs>8&TqPhds%ls46ms+diY#!ovSu>{{o6>F<E
zd;X<lq<$%x&-o>Wzm?3jfxHGLZdzx75-mr-eWzES8dm92ARd>q?l<~SdPNypmYAmt
zlpsBQ3OOVrA6xAYTYYIs*M<$DMK@rl2r^c36Ea&e>ggFU6~~xNwH}^k(MzO-Pd1#u
z^9sG)F|Vhn7;tSnW1yL%29|1<*R1u%A;JOuW1k|9f93@p7%@#r3N!+&XjsDBIx|HD
zX&|bHv-FD7$i4(rD1a$0EGBgF*<B;~?><giBa`RUg^6)05l3SYQ?L&U*=eOl3mw#y
zDAF^zyc*b-mD~Dlx$^q22@Fwips+h+t<{okC|5Vt#C4)fl%aB~Tsnp$a4$M^S#g}6
z+AnsFzWWLk9u`8NRv)}9iB+~aaB1idbb8NKxIJ*Tw=+tK*b4nrKOO32AqT1R6c3k7
z_DTK3>A{X+XI`;aP4piuL;0_mZ9S`Q{x-z<t)qD`LCEdnSl5KzSlVhE)d}f66;J=T
z!<mYaPOaPFbY6SjpvN-##@4%RdO0lTG19x95i26}c>R`GO~jcknu0FN@G-e-<1YNw
zwd?UVJ6HPLs`t#30?RMDKkCvhb4k1sMIBui;{ZQ?Q;y^+yKo_4Cb$7~RE8V1vT<xW
z98WF_^W*v9DTf{jbvIc~Em(uv9qiRgMU~a8b{VKX?l!9YWO2(|ny#TzshdyzXx`Br
zA=ztLD7Fx-P-c_(1^dj;fNST<ygHToxF&7**YSQ?di8obEg~tQER>`)!WkYo7b9v|
z*=xj6nrCn?7X8<WyA}WD%!y6bNEUki_bNtYqRFgcl3!W<1eAC+&&00ZYG7|5Yw*zE
zCd)Y)N9Jy-jOPxwvkwiP+SOna$MX}8(c$u-lwg2Mdts}X@Z6fSM`4+clH<@$qY<A#
zXqH-yi|uj8n8BNH#MrwjtsDu54`AlPo3KKGRWzd?s$8vDke7j?yqMo!5nwV*3!-cn
zkJ#^BFZ+SB{@Rm_pv=bOLXCWl#ZMW*7Zw{w+{ZE5OKRL~KSud&BUQ0)T73}rEDxMh
z>NMVr(2YFF)8)2`e5>th!uyio$E%UZw6qN)`+rsi2djcI%|TUH&6k|^Vu#|A+59qn
zsvMoG%ZZg+JkX9kA;XjMbs)neeB?Cs&So0XCw$cgQsLm=5*8ipUl6m2drY6bljjNV
z0>JGa&G6*Swm#T<T}TcF*f&4!@DK<GEw9=x3vC<+?D${L-dx<QdcqKw2ELUL)Wrin
z^$6eH5S0dv`Rb%T(WQE1o0I08R;JW-#)As~_zgVFS)tAHIrRf(cvC}y>d4c$1yX6_
z)q=#PIy1*bCw0!1BKY_CqJn;F&akNs(BN=~9=<I+Z2!L5(%8r<CXYf~{FG@dBnhL3
zTzMNdm)I{ZYsge8LNA;6iSWXwx=hKoj6l@3U0{HC-LCFu4-4nKF*E+TJIye+E~Qx1
zQDS5rGsC*CG_*@n!aRNbJG{kVnkM1I$79+vi}aV%QiwrfqK@}-sXD}xiK+bTH7G+~
zbG=5N))3l1ANF3S?tl)LHu4cz!w8K#hZNA0U=+&BYM{6HqBVU^roC9FSw~qtYSYol
zn_!ay0fY)C7?c;Xv80wDfiW<*K|9_wC3Y%vrxMzxn-!P%4jmkrx1A`r8$RsqkhkRZ
z!3?xj{1}GQLa7ed>6#{*1GujOe1{FLuiHCcZvgHH_TlulU(%x#iB&N$v9CghJUvwz
zM7zM$#4_V=<01&11>i*I=a7aLC-c2dE+ptlLX*n!(KER)pewCicy_076Y)!n$?o3I
zp=rd<FIPI=0!1><cuEn9M~nqRx>kglg~aEgn_;F@N=IJuaeB4>qkTe&{`O6Gl+2Mx
zE8d3-*ZP^hBZBtIlr3H_<W9^lQ6nF^|Mb2mmw@PJlA0QuVegXJP#*q38n%4bAN+;~
zDes-maz_Tb)4PUpr8nvCkdYmJW*U-s9>bDKcKrqI4-!{7RfU2;8hI%X6NFcm+j4HE
z%{ChECJ6T*b>i;Y9O+G9&#TH?Scj1U%|qfBKpw<Y1~2B?>K3g-U3eIH*o{Zk?4x;~
zhTHMW(Q0Fbx(1)m*C<!vK)Ro*kT~?Aj+*SQ#U$A_lLXq(eu2(3FvPZ~^lo#6FuW@3
zJ3sLn@|P*H`pXn)q;`(@bGfmk6bJ|qk^aP<*5(Az*jw<R^mu6$CR4J#x&$RAusYuq
zN`lF^1xmgM9;Xv7Io|a-sXN$`1GuDo(>bkv`;|bC*5xRwuTNTB6d^P>aTB~zah`+v
z^BkSMF(CGK*oZ~UD%K5wp81eG?)U-U2tOcU*585TDwSUMjvgaI?NqF<CpD~;LxH=c
zEKTfarhLK{HXO?59=GuwWs;v)X|HGWt##m>ybC}$PJP<qRRO`K#LJ}@naZDxiM89o
zhL}w*O;%2o3C}odznMQ^auX7h1wxn@5gS;h!kCI@a_8LwHmiE*!zW7BI1<hP86fU4
zoyCt~yKhlUA4-!ix$P4%5M_66jH9_m-X7t)--uNNix55i-T5!{T@>M_S)GUSnCWAg
z{hH+GKSWfWpJ__$4tHGEc*|umsSq632K5lW>*if^6feDoz{fOb8616eEH72jx!@1y
zDn)vih*FQciU@Fv@iAGbcz4J3k883^tKd58W^W2l-Rt+RMm&jykthyoPjm<@+9&tK
zJrEq!C{LD7^{J_`_q6~IUvxKQuX>dJAU{k>2|66GU<qDT2I029_&{sQqMJ*@0x=yX
zcqjRO=*JHDf@!w~7_ok%qha+Ctaam2_u{KMcmyduJ`lJY^8LFyxB8XdU;8V_^BcLL
zpI9uwZ_wL9Wj<aDa<Gac|9?fy4c&FvIH`R9wSD~3?_f1OKI0VG6tk3rLVbN^7hZQJ
z)bnEFl-nu3QB*wLo<hQA23ZG@YGx^m$2*<mbAubIS!e-j##VIZz}t1;?THz`RW*M}
ztF9t}b+oC6{`--(m~pM_OyhvHNgYe>bmG-ITDdL)%hS1R%dxiiP>0y&@%&tVk)63<
zyO8uA<Gq6oVZ$l503b5-{K|6i-qAL{=LZAUvA}mGLHT*pkPrrzVH0Ci8pA^4=ga#A
zxfqsGE|Hh_;gjYpvKCV;rK|R^lkGcpwD-__c;gd!XYOW(T~a=Y4yYxpk!TEE?za0f
zhOsIBeB5%p`a#DglpJ!^RAC<XcExeSjkg-_*o6QuBl4Ms^_CVoR3Jx|DCwsROth6U
zbs+|q0`nx^H(!mwWT2};$7g4?E0)Yy{9e<-`UnAL*wVS;M}-U8bvkb4LxEKL)l=zG
z{43ZK8`i#=gR8>Bb`an6B1vNfdK+H>oKqR+k#PtimO5zi?9A)ddtvQ7vp&_v`eA_f
z=}*8I0NX^HYM2$$N(BC7y;oDQL>6WIZ5BdgN-N~|C5X!ISedZXwC+sYSAu_d*UjQX
ze?){2UhnmC&Y%W#wH+((P4xAXJ|czbAT-@a-xXZ3>BJr1w_I-dW0rf}`A=|--C{?P
z8{21aNMvLrAyJ)VbY|x=^=WXlyU%SoS?1yJ{9_yM+K8={@WTFEzeE3A6I<J}uk~4j
zoqT==e;mRde?sbb!d~#JZTC~fn5bK)sCXP~9l-SxuC-<+WRu4lXU`$<RUltrt3cqJ
zIr3)rnY}yYMQ{(xH^G-C;r7z|p<xd~s4w~ZE2T;5AqZ$o)}yYmU&xs^DKt|Wz;P!{
z(8uYt`eSz|0vP2O0N~=<=}Nj7BV5K}Fl;alI~Nr^XdP~6<9A`KWkujYVaeFE^Ky8a
zB4%1__B;Iy1CE__0;oBG=2KT$`{5JlxX9`ENm7@uI20HfVg|V;G?JUSk^n{|R<@cS
z*RbbPss;#kg)N2et520yR*GMW6T#-xMcrtlqYnYz;&)*DI9_J3)A{Pj;YZ_%g9A>+
z&zxu!u~QuTE21RnN+j`M=HxgRd`SY&6%NHxn~XiXmw-^Feh{VN&35*PN)@c5D&VQp
z6tMZdTV|{NqLztLA!F(%75b<+gqD)ia#f~<)2p<Bqis8ZYsabd3-FCqDblU%?P@0H
zmeIY5t`ltJNb8_pe6(guA`3>=o=Iv%2la@xCT@l>;zN!&=&Lj&Jg*}VvZ_9D(FKg2
zrTx4D{%kE`HX~`z2;1tM%Ipc8>(-6&!$XF5X1!MOBOHZUYdA=$#`=kxSUNG1#eQLz
z-&@fcm|(@jcb!84kOM+@@mBH@MqA|s-BC1%=_W2me)=Le^R1$CtgcqdPvGKOYwl56
zz1LC44sM7AhTsYRL5|PcSkYkrp$GmD6<Cs3rN^=LTzjEp9RZKnZ^68zPU3f3eMC|#
z#CMkw9@71e8nxoCB1Y)d7{`yZ{#HN{ybd^5CUBG+K`3*e(H<ZNxRs&-0GGMywE|){
zop5@GwT*Q#Wl-xeZws}%+!}W^6C_P!tpr7~l$ccXlkn!YynYew6-sR%1@fn!<f}6K
zEIrKVYiR@lYyn{@HYpBKFAIP#E@o)Db6<9Lyq9=I{poWh_ILcU47Tq&v=8%+*4%Q&
zMd)`P<v8rLo~HLtIgA%a2E&hJ{XUW-1e?IZRkg~oa1ze4EhhWAGZWl4#n*{thVdee
zM_sdV&~lvj%J`y9NZQn)2KSKc@Xn&@Nr<4@7SD-LZ$Kb`xBRo|7&MoBqRz&n74n7C
z>1miU1NYNv^QI0Yn%yN8j;ZroBzWa?cb1Wlo(B(wbEMv5;j-3Xdz)RXGSXP^^?u~Q
zTRb3Vla-FuhlA!O`qo=c!^84pbQTjRE?nL^JYx0<%lg7e;iy~5PUT@N7_<~#Sn^@K
z(&yw?#2)DuC-wr$i<(&Sh=VW++y;bg`V-GmMy5Vrp{_;Ot5yVRw*Cs0X*`Z;*?LxN
zJNNRqhXpeXB1f+w*JTv9BcLhMUJDGi!lIB`8*pyVmy^Mx%~;hnjDz-wxow-wLNV7Q
zacsqYBk_v&SNhJ5XjBf_4X&0ag=~0`FkF{lu_i0Vu(CaL9K6tCo=dtky|PUf%*QT-
z(5Ci$y1_x8shc&t<D#6uNScgoo(Z_VcgZM%`02ECK#DkU<Sc3HGQ`efMdVmwjC|y+
z8(oAf<X|le`>|O<Vug>FC{K8080~+Hjt`ap{?jD%7zYR;Uf90%7=R+gf=%OEy1E@9
z`xEqs6Y-#fE$6(hkh!X@hm#J6W2o@st&-i(MIHMIr9p}HE3IeiKDvrrrCXnU3~NR(
z2bc<=mVLU|oYRqWje*?Xxm#*uoF=b_7#xm{m2MPALxrF-P`F*UeW<E`DZ4YWhI|tB
zr_Wl#>z4_Z)%{y-wvtV-2$>grDh%Q@=LIqa{P~$O<+EC?ZhPJHe!Ha7*8hq|BSGTU
z+IiZ+?8gB9IBS7^x)hBRQ{E@Ea_U{^7ZMs(RgGV$Qoxu><K6UurK5L_@)gY!LgK=~
z2Hz^^uDu=R3zhc?sp@@~$=xoCyZN=t>l?c5UDQ|%#oOpw0bKo5ppBrcHwO)9@VmB|
zq@RF5oF0vcA0~iTDYEU|YfBRqlcbxp-o$u8<U^P{uB3pp^(0!tX~QDqMueH~R2?hQ
zPz0n>O)xzkoa>I*K|tGe@%81o%;-4~E?!pSf+O4u%O3fp1x@odo@@0QD@}M(+Dt>u
z!&19oWw9R9{f0|y8yQTg&gU7A&R9fNy-mUZ#qnA01-V!ilY3k%d&xp61}mQzu}sxx
z+}h)Ji|uev<#sJ>{ca0VuEaAB=dWyhPBPhfIF-L%ux<ejxU7AMnOxP;P&L?Rlq%zg
zRjrq0*S+l{J@LYn5$)%6H~B1Qi~4M+kIo9~ziV2pY--#sQFeYe)f??l0%wH_-QBP`
zMPh9;Ix#<6ZQ*MWfqoUI{YJEpaKGTDH*G$<GcL`-ej@RTOHkTEf(>lqu(a~fgMD~<
zXAj9xlzXW6*g2MKM@oQ+kU&lP7}`{1P;y>H26)|cMy6|JZf#^k;$>0jRg~?R%9b;|
z`XvB;-uA(49S^d)BZQcH^USehJoWXihjpbWXWK0Cd&gs-eG8OraruevR;TbjeNlz{
zVN|_O>}EZ(lLdFc{;=!P`6CAEIZkAhtY_E|Dlxi&F+^FbHOB}64kPX0$FBVRb(|v{
z{pPbE0Vk-QOM0pTH>fJW+Oar(&U1=+rQoRgI*Ego6;gYR{`5Apy3JSmv?9*1_l9c~
z)b!@HvTs|MH3PVxd6|-)_fwvzvYt@Y-4gn~RAZdeDF?mEMGi_|sZ_0T941;WKl)31
zd+=?7YH~el#bkd26k5p+2&JsytW2^hCXy)g%Js#j<kb0G8SFd>UQV7G*G0cN4O1mk
zI6ArWdQ$31$XcbZr`tSO7U+$+vcPb+j*g0(w}Q4wr|8rDv~JE6Ll1+h39%_Yb<Q>Z
zyVhT?bM0cH)x2<(>u6AlKfG{x5d`-urWHNaO$9=R=fC$!X|&1LeqLq$*;8X#zxYX(
zezuacrnk%s_~UR`Lf<s~`BNCV5W%xnBbYk?-+;?BG%*Y++))gVXdF8N%5UcE&%%#a
z;0o#q*9BTedibmEmh}+`=8xWHDO?r|+2n$Zt20!};`EEFNGY3Y?%WK3-Erh_YceZC
zQJf6(oe_E;e7Ev)`qg(|r}wv#6xWxuWbtQw_O@AsNmO8S<q^H?D=eE;p~h4ARo$Ks
z$p|IdTQP=|^nR%)wO^seED0led2Ht5e)C0n&fkyt)NP^VD)p9E_np+th74PR?r!+@
zx83m@w##0gG~GxP9k>7GjIOR^)2x+Qh83d)_JcQ&vakhu=w`HG&+6o=3TR0iDxEw~
zsH`|1IXl|M`i_gqi}rn`1$WF!1cv+Vt+IIkHFi4h!Ljf}P&T9P(%5uaUQOBh{+5CB
zd+9E<xq>=iq_UP0CBlc9HD!XwOvQWKS7QKLj^(@0bP6G=P7Yb;*a00>t)imBNXG+3
z5<m;QqnSg7tY?BGUC84o9awL{;5Ph*=`_Yfbxo+Ma0NK_w11`Gq^zmdC8Dqsc0&B3
z$^Nz++5W&oqT7FbW1TH;zC_tms>@pV<wB8<r#PX79O|lYfQW@M^aoqdP<)+E_1XEL
zAlxCph4+bQil3|Tec39Y(w5+ZK&TWs2}Q(KcXUKUi)G)a5ZWlt<L?w7(%`#7^S-Dw
z)qVj-_fsuTB*9gRT8_7iRPig5KEkX-?;%c4bLC@ff~=+Rw}ZNcfZz75zGCFb@ytxE
z4g0}g0f!e(r68GJ>#up;Q)Zvi8oocnm+}1ugPgvs!3A2!xu{PcXythZ_^>fU?*>+Q
zLNficrL){Ilk>wdDbHONSkyZq>g<%sdolLHALEQ=U>t7Is~FjRW>5$rJr5?OzMOZm
zpVvgIy7lQkkTpa6GF4{8VRyvZnv!!BuW!CIE_>VA;1WW&0<HA9urqEm){mBo|G{Po
zS1wk80gg7O57~{Tl|A)>*vTb8q}u`LkM6&CuJPEf$Jv&n(Bv|N3diWDruZT@j5dpk
ziSpc}E_Y?1mhYZ<7^p_9x=QQxa@lldoG=%A`qg36sWg*G$xC^&q#G7CheZ*jqRQi#
zeWt?LxuhD+kg(gVxH2XhyNp;;S<z}Akf*fZU@po(tjIvm=S-Qb1~HwEOXb>o`Mqd`
z**mQ!;!d>+o-;>p=o#|Absz~>%r_bZ=)-S^c_5VcuRoGEyLx15>pcPkJ-I5C3Kzwk
z=Gv){m3l3Bs(hoM5njP4<2S;hM|6cB^Io*^S}XSNTY1}JugH*_6JG<t)<|{-EJBqh
zij%^8K7R*|rCQ+)IFGnnNUJE^hi-Yd&l026g<SI;;#Bv;vzAKwmxnT8{de$@;axK(
z0jWi+2&_4Tmja`GQgIOWNj!`fg;WlYU^1K#O(G4qh!v<F-B9V;Lml>_)=04`B}ZeL
z2<YML*h-(<2|@g1aK8#$5?p{;1&wLfQXi>h54o11%&nDtyT3NvF_W>U!7`!<pEjc-
z#oE6oBiE&jtn+MS`Uq!K9hL{ghOHFWsPQqX<4gLr@P0dIhKQ!h>A5f=6g0dxyw0mb
zrjF22{6^H%ro*{>_r6SXD4UP(!0~=1S8AC^9%!voEo`i1G3dC%_!g<S(M$!CF)iPD
zCr_{v7HvLK26DCkGsGvRwH6@nu$jLbaUtOlbvD*T2oe!$*tAnE{(D>Zltx5gaJwLT
z;8o8peFD3TB))qUby+*igM(Q}w5|OemJ0h0scMp1zb7-1QRlPao13=R@F;Eho48)C
zd9u#WwM9g#^x!R;5uiy3m}v?gk*7ZLq>86fqO=)Pzhbidv>#_qGFiCLy=R|=>jSL`
zEHR|MUJ!)O9+H;tEUa1=memGuvP68_`2Yu@{QNrGOs`*_!zDF|B}0!ce}I&@Y_Gn}
zp~3dZ_qi1K)76=MYqVI@!I^zi*jv5jVMoFvNY;5)3oYYTS6z0yAM2X#-zX#9LmBAG
ziJ4h1LPMQ0WD{rQ^Q>=stTG?)2+x5|c0h{xdiEV2wySVyV6u}ud%e$URX8Fl1KjoO
zgOPm!rlOg&zu9suEWS+p0-H8Qu<FSztYvd~wjp8`-uwPZpWY2O`8?g#P{hYsc^A_O
z3;Kt(*-ljqv8CDDr1#RD#*LUD+nj?1ub>gsKBDWMtoVIRl%b2!!X!#=1resbQ~1F~
z1$QZ)9MJWuvk!9NS;!PuhS5~e<*w?h=7E2~{90>&!T!LUFy-H7<R8Z5c_!{2eIX^$
z%&%9GI>R-jucN}d?+}zjvKNuejxrvs@Y${xrN0MWjiy|OaxR0fT!+2H|4;9q5@T_i
za&O6yh6hVi{lL+}_)WY=DY9eHstN+~uB<Jy>euOI@EL4~pRm~<4yh)lOoMdTEHt?7
z6G;Xbr~Kef571hf(q-Z9T`IaVE^xTBO&k{Jz|Wd2gz{d^)9%ckw_f0>9HZ@>GiKM8
zWDfwdFJj!j9WB^`boYBdq4M6Zfec^u>I{i1!vAtqU!_@VIrUxI@)Fx$D)tG@T6|Bn
zF?M0vCg0P*PPWsTs1)#&?uyxN<F^RqOW?K1g?Cr7Co<Vm(j`5bB|FywJ`zfQ+RN?D
ze$id5r+@FSV}Z?0!}#zMUh&cUc^UyB16at2x`h1~2^csfeWt(cBy@25C#%mb_RG38
z11*kFJ(%L_z;6d5J&$BC<XGgS8r8AC!~>B7%%?4)bh!Ql$0>E^F{}4T71tfW8mJjd
zxs|~4?Bn0VRQ3KB*wl30(B*e6e?ncq$B+Dku8H#e2a=M(a%v;xiQn%9=YOMITg?FE
zsW7q*^ZT2}U*Rx+=TtS4w;6D;nfX7FIRD=Qf8>}NkOKhCngqN45ly<n6nD3|F)Ri0
zPjczYkfA@O_*_<&|LB{)CHjM5nI4(p3c+Cgzw-a%QDTHFyAcB7WcyDH%f-kH%X;NL
z{%eB&kN*1q-C3jX2fJk{2kTQ!EMJI^Pt%PH8y5PtoP@&fYWk42NbuOV_z+>kw8@AT
zK@I!=!RTLr<knQiOq~}EG2?|*<<d=ocu#6h`3cGu-I_;>eRU6}8gIt~BA6sYz9umJ
z=g|Kb0(ut^`HB$+gXe`2bb`WmC){#aZFnE#F`o)PBAfQlHR(Klfj3z;e)g;S<UvUu
z2V@W?mW;fdd~cAAb&Ta0mGvGUfT23}ug6Q+dZ>_bl!3(A*q~Tx0$duW5V$t}RfP-z
z-JOPP1n_RZ(B_<weei9ZPGRW{?DjHLnV|3=)AGM%qy9s-DthH@<Dlm4LA^v{rRK(r
zV8~K_Y+XUJN~0Zge*xcqUVIHbNrr&dP6dqF;TJMM>w}D;{VE4*ft}12WRRy~1t9f&
zAnfa89oXv^=<FBnu1T7pGM6CLDBY*!8ku?c3*h++>opZ|a+Je>Cz)t-jEFU@edv2i
z29U0!CWH+CLZ1E4AqktHa=pVRFg=Qy4w?=r0z~NX1qPlV#_U%s^Fmij@UI{BEsv}0
zeS3uOQ{3<-qh5pRDaVDJcz@dXw2YKX)D7-^mg@gDN4?*?*?vB!Sl{yUVy1JF2fUe}
z3nAkT_h`C6`xuKx=60Z<>SpU{JXt1pBbEL8inB3*MtQW0a6GJs3}bas#Km3PO?|=g
zAG7?wev%TRzhtc=?cw6Z*MSs(c-Th-brqQ3`?lYZfgFMi$9zBIj{56=0W{cbHHG~A
zVJIQ6Z9Pi{k}lSHRepTmBuHnnN8UVn*wlG1SB~s5YT0eUFhzOL(1X!><OsQu&AVju
ztiN!41Q}F;a86dP%Ly2@%DJnb`3sS#C`lyaR@X4xA~sLL`jz);XAXbJ*@g1@O(==>
zC3F0v^isUlEl(>b0~5}nt#RdG9&agizB=o1U8gbe#-+D`<e?3kRAWf1I46J`Ep;k;
zlICdSC=A1EiXi>994Gaf57wJ<g1sltE!#zq;ml1$D(^`>Z!+o?00+maTc)FkKvqB_
z;J+r~e>^&5(Xh)Kbm@D>Gk*-Y>ulsu77eC#?5wQdj{6kj++I0Wxi9(At|>48a(N8d
zURU`%>A5%a7MoA=SK3Y}(eNs+TAF|mebVeLxkVm=Kyrv;xMO_$aUC;|C(nOS$1e8|
z5Voa}H41(HZ-D#nWA?wGwdBX6+YYWkroG7FQHFrTs)Jt$M4Q{TWlw0yajKJ9I5IAJ
z13iV!)llG-n9Y!H4nNp6q!CcExC&tg#2k41`WY6M1QV*hJW)!W)&7Z*70#+qsS6#S
zM&tPZ=Oq7~NwyGv=^gqPtls7u<R2jxyyq}U?Sv;!oN?M3D!WNNhVX;7<SE!96z}KV
z>3cNJ?w2tzNncm+{0=vXDFZCblS|}hu(-PLhj!>R9rb<vtm(BBWFkqu9m_Wm5mzls
zTRvqyX6a<BW7$MCNQXN}IOSDy@!ba80A*1zcfwmO+kco>9f2p=f0;WWMu3?tn-H?=
zLlVnbePvg6f$A1D@63C$)%3WbWPPUCHVSQBeErCfx*}#G>Xxli8;gTRS;JXt_`;1Z
zRca#PCklRbRMwQ$ha`2|G5G;q=Wbo<g-N04qp~SuAa-}Y-iNBz0{nS4pk=1sHYIeF
z27OZVqdKjoo)m^{#YpCKzQ&zcZDTPL>?d&cUaL<Y!{hydU>?U~+5|#GnCc0XtJ1OS
z*pc_=336s{Wb_~gq5c@ov8{97IGL<2A9P2JlppCoLyzdhy`xtlItX5xq$iTW?+@x?
z7%t?hJ<~hnpsNHt5YBznaye*t#nxj*A#y^UMnI%VP`<a@>LVTHx@TO&+TL6kP>w6&
za0`Oju%GX@1q^g~C*rEW&nk>cFZKm=ntoKCi|3k<-enIMHkq=#bONvFa=ftlg#|J{
ziS2nITP2HCJ4$ZbJEkW<&T|60PrSNMj#+lH*`oR>PMo`bJ(7+NHc&GLmyhTzo!hb8
zRdxT5z4r`jYTMd|rAd<xg7l6G0)q68RFNjqI|xVz>Ag2m5Ru+QKvW1tO6Z}AQUwG;
zLPtPK=p>Ycyo-I#KIeJP<KExj@5lMKk}Fr%nsbhNk1_7$nuEnoS7A>JtKROeV*z_d
zeo};7satUB7!8+xEPp<&X1*9vgsEpERT(}v5*;eluux3ozO?3qTL*(eo_zUU%5$44
zG~K2+ELPvP+7X<-pPw67`!&J*?R4W~=&w3DKX|jktXvz_V#LK?9qpR0xzE<XqS|M^
zGs7Jvca>P7Cab2A=&?*gK%;mLaK#XC6cM%{`KAU*L`jUPv$@7j%UgK|_kwT_@`8@w
zVpPLK1|O}kiG92T%(Y`Y7aYxHxThSo-GiLAB`B7#u??!7SS(EO0&8s^UJX0LT7Si2
zRi7a8F{4h~<@`6!&s!#7#Wnt}1E|IyAk~TrO}kw=YNNVRx)G*Q0J^S{1DGV{QomRR
zZ<M(ot__Dg;K((xt)R)+>{wr0B*3A6!d9<h=ft1N|MGm`7vZT!$^EnbA=}l@^~){R
zx;_s&Gg2ih#G)#?iU$zzylK}M#ZZVidbXOUC~F~!fY>!%u^~#jTASpf-<QaS>8oc&
zI2%~kQLM|XC!TA1Ck*5l3TX_pZWwin0LHx6FV@4b$1sjpxjRCT(Mk<8;3w-9F7{Ik
zY(juJ_xf}lY3J%{bLwz8TPgHjkBlwq8(-0O<~oh<or#4;cXKdF&n7?rE8<>q=gNVj
zSfgBth0r>hC=itM0Zmd;4_{%R9sIL{7C1PW2tBSP)ZkPY^xoWkC}<nNhNfFG1{$Ml
z#+@3vFI)sF93l=ZS))$Ef@arv4ABZgg%;s*pU8d$ol5bn3Q*sKOb1=xqRh)uf4h5l
zv9-FI`M6H)ZRn0gwG)WEHei9c7j-`3b=@a%!D-Bu-`*z_BEsw>mWA2C=Fld|NpXFZ
zKlsXp_+g;y4$v(i3o}}brf`34yE61zXdUhX#RHwAuyX_$jzKLfu!bFt3BC+_0aD~;
zCGE9vZUZmu1I}rxv=$WC<A)+1G-6>3nDqu+(LUS7Ucyeo&q|LD;9y}})sXo)<M^hA
z%>W}N$L&8sNXl$M+|vcS7IZBHl!Qe|>~Gu_x+oHi=*|77xz6^(6$SI%?Lq-ji3h+S
z;RQBB!51$4&j*Y<#zD|KPCpbL8l6~q_tDLDu&68*p?~rf5TQ3Ks{Nx8Krl0X$+V$!
za>sT?oG#1anI`zP$qfa}hA#Yal%BX_002fS-~{v*-$BwwtX(H(Th+Vx%Q8DnCFfLf
z`$WA)jMe~iLI{$yN@QT<&mNtB5#ZQJ;fsJx$Qw%kZ0e$9P`6oAvCC_KW2XmZfq)Mp
zlUU1h4aM(rPUMZRu=gaHc=^u$$-891O?+$qw73Vm4<-FGzhu%FQPZTZs&ZcjRLEZN
z!3opCi5i~@O%iY%GlB~IFEH7xX;36BMx;gJl;-cEb_2!B2T-`8UWyq@4gW!0rvjr6
zObBZ6@U-KPNa{k;@QTnR5rdJe$R2+T`%4j`zQ#8n*h+msMeheJz#f+1)LO%DMt5j3
z2{;?kWmJ5B8~MIZ>l{kzMdI@wNb?f&(9$GhB4@daW9>rdWB^_Y8->XAzo#NH<rMbe
z^zLdP%+liz-a2dY>Dyhf7C<~2fAPGcvTxuQJbn7_BAFTp@ld5k+v9z|kNZ+~x12Mn
z10rOkR{u6ZlEfuUX-(VuyT7HxJ=6tKAN0AT*xz#U)B>qbs%kpZ-~E>`_OgToNj2#C
zztP9PzhSscwM_0cQ~lk^{`aAP$nC#7h0F0@nYxVW|EqofwNroOcK<aA|1}B!aHan>
z3I8<-|9>_KHp5B1tpU5Nr1rBffl5f0an;}A;rFPrgVF-ekqE>}szPDn247L=H~<2-
zBTv_hbZM<iS!DcuodJxtPIZDZT>+r>LyoDl-C>lV`d?Vvzmk=IT-Y!YRTf?4%5=fg
zKLHpA-9{C#p&?r!FrzmTU<q^s`0qUU3Va`3!lJM!LRP3HAJHFNd>iFO9srS5@Hs%w
z2QN-wh4sk*xeDx(t?&|xZh!b{?WM&0uW^lvwwFv2jR5Ojz38ZH9Se{Py7$DBS>^(8
zo|y7+qdOdS$*V^^;K2-JlI{SlB;t*Mjxzv#1<EW&;vsKydH#Pq{!qTg!y2Bi7eGgx
z`z00)cA0juR^B#sDwwQlT7Hf!*bObGc^Lq(RucDK;>71Oqv2CYz4*5L&xM*6qmgsF
z;ovZYtM!)3>a(j|r$Aq%8)`npGiwcCHT#8cyE=dkSva>czIr!zZ|lrJS8mb+09^gy
z?qI*=ducg|p~GU+^%d0}Ed>!5rv+av9DXwYUDQ6Ie3_5&Cr0ciTl+@u0&Ial1TWdo
zptcEq{K=QZXF9Tt!6<;%%-QIaIwYyrh#sJ`TktF|40Z|GuI-n$MNLC4{A4yilpv{-
z%7XT~2=m&+-C;j2E_SgUGzlP;@Z}^v7zjKMBOW)Rt2PH$nR^Sc@uvXD_kfOKqgWpv
zh3xl2AdU186IGgd@C4V_h*no?;%_lxqM;WW4{dllV0OzW2sR8Xje@yWBYGE)x26N^
zK$uAPQyahP$?g<@;Ige9NT3T8-QxC>_zI!!I2=M1$)E><#WyI;)n!kArq3M%om*A6
zR)8XcYvX&H9^LSRbR+=P``Xpq5p=Wl#$r(530;MDOTS6O0zCoNrL%s83-8PFL<`+u
zV|NXK+TWH99s;!&{X6a~O0OF1vN}WNgVqsLi8u|qdw?)PFP7LYifP=4`<6QnM`Y%n
zFOmwi)g*IOP4<qP&+(65vQG|9+_u|Y2tP;of8|K1uMR)12r;^0PUZ$Df}4Gv5T`u=
zi^Y9T>^<PdhmR{;@aH0;+>U(^1(oR7OP6CpjLWJa6)Rn>((#Q8U)jc==<!1J;kF5@
z7AoUPQUC7wgS#7-l|&nV;-8{6{$cck_id<gt<~6yax!}HEtV@YI`C~dcP=qO;s&;`
zBYhb_i(A7IiR;3%M;ZXBtd>a*LGSkmEQ3Ocn!`;}7PWdaQn#2F8$`Bmxh0dF8Znw1
zXxNY1HbOm=rI0F_MQmLalikZnLMgI+_9z#82S=vlNp_jJpv=*VVQp|jtp^YBUf6Mn
z{R=&WEzh8))r9ujv+#m)ILrh*j{j-Y>6(f2=ZPZgmskO9Y*Baws6KA>FkHrDL*(_s
z5%q^!2(0VKjB(H?_sRmrIb^=t*Yum`8PVgSU2x1soyc|2y{OHVRcyvc#N%*L9_k37
zj8*U<q?bzFmp|NH#x{gF8f4gozYG`vaDmT=)Z7)9xN5qu_||rw3fYgTo)LG(+BqrZ
zo-IjjoE49Iy#Wa%e#5uh%~05u+^_^6%qYbQ@}UmrvZfCV)D!j`WSyb(=jr}I`1K73
z&B#v}BPJ`W6iqRH{G%XDKDOZHoiFcCB8+64MEn`?j>0(XI|qadGAuT+iJOP$U8aY}
z;YOQOG5}<Dv0H&fg<ggFgXV>Vrb~0_aKD7h)1%qmVyCeLb&nFD&7rub*of0@M>&UM
zpQ2;ndaAwI_xyAra1<qmWTH5jf%s<DWxvDDRNtxe&%TjnLRiCynhRJ!GzK<ZVqdlW
ztZ>jg&lebHw^bK;)Rl*w1V4T{GrZqwc#yrw9}y!6jG?W6xL1{I9>Tg+dB8Ca%rb*4
z2xT_eS_BX2&PuKw*F2iZyb&#ZgfJ<7_j;I?8sKSzgI(lp-Km7%|JrSAze~<tDTga|
z^~B<cQVjTZ51VkeQ{40h-c;r;hRqCX+;K3#e+uz*Z-#84#DqQt4Km)Zd0*kWO@9Eu
zwQg6Bv5?V=q0?z2CgGj)g#~Q55CnYy`-En!26a^Jy5gO$L|gzx&IVG&PL4!VvF-k!
zmmIY^-^KLigSS8k!11^{75EvU?0sygJ^Kk>#f9Clq1Q5Zcu{9-U2S~f(0}pt-nom<
zc(njdhY+^fZRDGKF7cbu6|6IId=r)_Uegll#DjW)Q@8wavR3rMnx$$Y-}NQNZ5vYP
zm}d_kpt@O9zFW;aVLJG6;i}^>651MyTXz1Ke3E=KY~)but-?G7IA-$0@laxK?`RLX
zOeH)yTkj83&E(NkOp`*~)fisWf~soW*)*Djz3w)mh&1~qb8Ui#L3g1H1mf(q6nH5z
zKpw(&{=6tuc2Zx>&!~E4qh=gR@-u^cz{?F*|MApT&LN}-NWM>6j3(g}=1hsZ>kGRs
zUr`Ow(7?wb<pAE_gEiDbbb>Wx*&DF!T<&jwRlYpDtXhHC7ute+P!N4I07h5snrl8K
zsPzKOwqt8j!_rw*=Gy%=S+uA8J1k!%3+@@j{W^xdWug1-!Y~y0{U|CFa|vhWsso@p
zQ+T!6fr9oRiCxQh<{fis76A-|Xc#r)gavBM-;c4Fr9<GD{H~d6oCqJ~3a=4v+-|a>
z;jwN#rnoE}H>>yZyg!OLSH!dGu9@aRPhIr)IJ*Ve=8^8Beblb3-3+-w<8j8Hm9g<X
zjb+<v<E@(ma?tWp`+cduTM=|rPfs{ISDHEFq7lOH1NG>z)%TWWzE*$104KLpozeLD
zEDQ}9e^RcXuo8~Z%^8i{Kutd||GEySOxec~o$%usYb@zV%4)4I577@S_H^5tIJYiC
zJq&q{UdNs(*fhFOxn^laV&gCz)T2XcnbNqnPy>VIy*$s38HB#YtHk=)Icja90Tnyt
zD!!e<mPC7-W7;ny%)6@&1es_An}u_4?WmBx2_t`8#>Z>j!ZL|{1N-xGx=5nF=<+t?
zbLyW$^DYDq*ApghbDiq2MI8hcl#h0s)SKa-w52fmjFTHBBahb1JE{-=Fmo}A$EODo
z?ba_pzh3vHT0C3=7W7$os**Qq^Kg>fsIKy-To}GfCGcxghGe5;#h2$mYuR*A!@$Fi
ziTiKAgkSI5omk15Y%C3(Lt$OAqzpJ~GrBv>l!n3pHx374qp`5LsZ8=eVlY4)q-!%H
zT}PLJXs?4N48+g@H~^WkEGYkc4~4>PQeWmK{8Mq^5Hk=`6`Z&d>|Mg~g+M`Bhdmsi
z9){niko!SA(z^tNEDg!)VjO2PPDSn%vU`dF3&xR`C_eJCR?43;)BRo+VTxFj#h$_+
zK6y*w&%u;D1cA_3*hW0ufLIAw?f_Bg5JlAHxnE&XZW(Vfu<(<xyAPWG=%hK+VlTou
z+=BlQz^6PBIXfA0lfa?$KDl)7mz=gRz{P$CAYq4w*V7MdD`F7Cf7FxD>rGffy9nrg
zD}sS8iEkdN!ciw5%L_M+FjmjL@yw+z%y_(u&gfe&2(Zeck2;ZnoNDvYdcqq)G7-lW
z*8iwVfCLk#E(r@|(oQbvcw?R39beJ`yW4w@snYw|HK64PPDJu8{04)N#J)_KXy@tI
z$1!v}e>U^~M-3nNSW}Jf_<-BUwBi}YX3iZvH{}7rAUztY4Iz!b?DLlug#zJ+Ck@=^
zp9clE80LH@v=L4U=cWO}NGkm0-LTydL}lFwEV(#@-a6EqZ|%Y1We;db<12Q`%aT1p
z<rj4b$Rl&~GN{neYdnLxIGEcfhD;h7`<>t9FCE`Dw3(0X#Ko^<M0(j8?=svgZM4O-
zG#=`j=Lx)$1^;CfY@?4W%13Q3_V8xMC2yAg3BdflrE<?)p3>3%?vna8{<}(7AhdA?
z&&9|^D*$xb9&|N<jW3|}&J$LzN^6B`={k32T(gNl7SS~sLpxcES}!t3FL?%%`WqX)
zbj|!>Bi$swVku2XaLhGLgdehpAN5VcC#pLp=PwpZkjr_yzKE^Ybvo|l?$S*xLEq2(
zzbgvs{Ew>ozj5t9zFeiwmP#{Gl>nMtfTkK4ixDY}gH}Bv#%nl}rq?pTCZpPwl%OIB
z!LdzwUF-hMM$Q?Is%NWdl(^^0HtSV$K%O#(WJAf#dxW9mklix7;1F>8xWlP}paR4)
zVn-8kFp=V}&W7qs<=N3P)nxjMV7$hk7$~03224NdgZAMshtD4eUlt6&2f&n^8dczC
zh6Ehjg4#!>x3b-+<PNWMXO<0=TwOe#+gz4mTbPn(Kr1d2!gW3SnNiji>*}lNu73&p
z*HA{~&?nJ<ve=31tfa0X+{YX3_;FDLXLG4;J5xJ9nHYto9B;wT{0POj;uX%lLP8E2
zrW%>U0$VTASuDj|lb@S{eEwY^`;VPHc}Da^H&!Si<N;X}0r9na%gAn~-TDx=kPZ;M
zxx#%maL*?14IUGRiDY1pQVdAjpRDoi$%nAEl|v!HsbQh{)jwwd|8IxFLlvM5p^{B~
z3m++jqhJ>B!#1Ij%sj<|kUTu!V|oV*3ur>NT?C$&BaDS0bMokk2g?{&+XsKuVv$XM
zNtn@>{;}VJiUEzZmAUx91q;xT>Nqd%8&!bMOr{13Y&ZT0q}-?>+k#1_#kHLFwW7)X
zvSA|$XwEAn0>)`NFL)Gp<<9o*!*BGnO!|Y&r~P+flT#FrZ7LFpdu9B0-1^CoTo((1
zk|6ha->(;9f@ObI6B?q6LVL|wG>c~B(Bt+l`smKjULX$+VI!mRo{-?5Imi+7-3I@~
zDEFSO7)+vs+tVyhxeg4X&#68=RsLOt|8?roWRyYbe~A1)KSCiu@n_e1{?;9QUf!D1
zuRX8;L0Q)twtXAEq^{H{%mRhn+*BA^Q)YZ%xr<`jUFu-Z|I1nljEYI(VZIY*{J$F2
z{^O!k7-*;KQ8|#uf1lXN5o6e6To_^|v-@Tk5dlGdMy|-PxnOtMSUm|t(as@9t6-Sr
zXd6tN#m7y?*}gG9n-kpk=JyYreG51-rvb~m{vfKFxZb<!%rF)wcd5oO5oqx840zrX
z65(dvifW#QDKSxaWaWoA$~Yg=D>ypkJ^v#g`VUe4$43*A%PoHNl*fZ8R1+U<Qm}$H
zNb!sa`eqCR-h?nU&y?7w5Pq<VTq9%)Fj8f|c%7ea_rKaN|Ak=Ke7PhI_9py-ZcuuQ
zznGpf^FvT>rPTk-MrgT!kOIkhaa8BOP$vYYzpCJZIvufe#Zz;+@mB`n9dJ0+H%Fda
z$F0y@Oa^i5Nc$VKqKDF9IWcm)I%W|z=Y2h+_13a`Pv9N)>c%IF0Xu)P7ys*t{&itv
z2kac5T1Fzr-YWG6M7#vc=i0E{cRsMm7`FNl)Zr*RLjK72e2#0B{5st(y1TQhk@l}W
zlkhFzfYV<;Xrs)g#!YZDSrEM8CguHYiUwZJBwml#7%|HlwDA)8li#y(Gyvh!AlCOL
zn@RMqJjVNc;AJJZ0`!JRqik_i7P%<onhN~7?;^&B)f?}qvyII!Txg!778IsfXOWwW
zggfyDKg0gAoAbpb*SBomEOFFFZav1mZ~e?;9oUR?_`W*Z{Cwbg3^IK|0p<|~XwDiT
zoKV@jFL&T}?}y)u8&T9PPT=33=TjLdU*^T=P)pamR4BB=do8okuO|0ot}DD(x9udj
zb)|M47B<@UL;mC>nXNXD8}ct2mH+%_6Zqw^x?{_cq7N5qVklh7DU4`}+E=0e1At~F
zCAhmqgl-%oAv+;$?fVxAmcyUl1;(>5PyB_%DFD6PZAFUZ*_0+^xC!pEA1wXXz9C>f
zx}IC&%s;F`F$Ml`1EKo$g}`!n-btj<R*G@S(a*n<Ibn*+YH$p_L4ug(V%=zfzw+Mn
zh;*6d`J^bki%Fs$m_Hsb3^{B^e)p+vTwe$UBWBxOwLfc?{r>6L@p<`b!Vf+q0rwNu
z#`oWW&5<(*(8{kimB7?xD4seoM;t8@ZqIuXQUEi4*!`Kt)nD3(*lO$VQ!Lp|N)tc9
zQ0m`n$AlXD=2(3YH!`*}7T=#@c}8b>F=h&!o+9@-Y%6~PW@?_|+NywUo0Ek;TSmpK
zw08~I*@D0RjYLNSGDxNO3~((JQBlvd+Clb7aWHo%#RP&Ov0I%jT%&bq*$1}jln=E!
z`&oxvg71R+t;0*?jtBA(E4m8ib|XoD)gE1wdD*qCHLqh?{-RTHt-)G_Ww2%hcWIOm
zuEpH8)9JsoVGc7~cXzjzIV|-@+cLo$yHcT;gW__yPYheFfy#9nAv~|w|JNU0e$&aw
z4u~k3q?BR42yP5pIvfMAkD^i#?x=pYdP}x;ppPV?V<p+JPwS137JAP2YZqeRP{%Vu
z0-A90b0yWen#_m>8$lsEQ^-(x^Lqcl%3m8w2Hsa}RZP6EQ5-b``2Jxh{^#2{=kSpL
zD_5C?a0jop*(p!?26ssm6XLC?kUOE9<P+2DfL)$V7YDP2Bij7ofVnzn4XJ7uKN)N3
zw+bx@J8VmZt#OgFRNhQ^+$PYZ`6o@pe}pbRm)x?<G7^S)z!K?tTjft{5P@eG$c=Ud
z;MT#;?356wf5*O}Ir#K-<JJnw%p6k8;yZAPh>Rgr-p3g<{}loARtHxX28Xt8jIG0p
zW#nBc+(ODQ7vJb%ll1vxDGZh3BcGOUxzgX|`+c`^#}mMQLY@$oo-`;flA8LX_<%08
zR7_Rav)xg`b+|cPs!85tBV_SCDXa?UoGz!pV7KRteJz6g1(DS{tG8*NjYv_lXV18O
z#><l{2vHN|0=a56?tHGg0|!RxO4!=bYYjV}+uK6#oVu7EwEL8$sg>N&c9kx-m6#dI
z!N*hlnJ;=f3nkylp+x?TSE&@YL)4&Bc_|iqTJXtbuV?Kdf~<EXvi_ad6mz6D?n;IL
z`G#)j+p22{H*&h0;RTY@V+obM3XEEZL$9FuH&f~Q_={J?Y2RKUxT%Okq8Ew#uS**(
zlFG`*-dd0LN^jPv;pS2eQWxbZ{~DN1oRyDL(FmqikD;bjFSRo<N>oqF&QtQOp{pHZ
z4U%tZ8WTO@Yc$ggv?OPCuk3}lei~!aed}pMOD}WvyO?ZJQ+=sTz%q~7y#D{V+rKZf
zajzwvD!=WNCg$c;QX%xv5?aQA<_mtL_1CiEmy70UYM3eeu&|^O`iyA*qdxIV`{WWc
zlI$Xf#Q1GdzRA?NRf3yZT4`-kDTTGSh@YQ-my+eEJtXlz6Tn++`Pbt9eLG;unmnDa
zBtHt$6Xp%!ikCB`%-)8IlJGEOil(vlp|1A`c6lkE(JZJu=B;l9SH8Uyt7B8Hm5JY{
zFk=}*;w(y)OR=0j2$Ecwipg%QUsV3zyZGmgqIhuPdqZ#O*%aW{2SW=DIOP)ShQ(=!
z>&#4UCyCW-Ypm8Z<|nF@<_7BV)^DkYIzIfALbz*8r?4ssYNTm?q>7%1c^Rn6TN%@n
zl5UCDG&`UAP0HDaWAITX`c25H%kNiaZWzh2Z`A%-wtAS0U8<&8BZN4_|L%(;i#m#0
zvIAt@H|>f<_h3<*!=Ie;GQ8=~u%yKtYc5}m>uIo^cZjxMk;u%X*>dFcOL`Zrz1$-{
z!LQ#GIT^Z#=WS<S!!3l}{98<B?_x{;ukZlNhK}Hl6J?MR+^lKDO}<sTq#0GQQ-j}r
z&=A|6)=K{>yC`0+jzJtupR^bKm{M0`VObo%VZg*p`{`uu(oyH+3CRn^shFNnWgEBE
zaluxW;qknagyG4PncjOINV1g)e$ZF#!;-3-#_=4OSH|DRm%F0&`2Uvx|7+`?T({B4
zA2Lq0*A>Lc$sZ{+#Gg*#qNY~IX(c88$mmb|qkD~1qik2!u4G&^u#J9y!?t(b(S~Uw
zgVX-LQEI25kK&Y;D4s*!AU|A&o<FVV?OP5nRV&^Ual@tFVI7OjU;PQwJIghX8C*4n
zB2S0|(bxZvGF|QmFCf_9Z*gnR9;`SaX5_Q23(*zGSM{7J-D?LL<;1N+_T}wKD~@{1
zEf+Gef)TM#7c^scRj3f2J>4IzyG@%Z3Ja>cO+)m$?Nagk1{b<vPr5&GbVPJmWzjUm
z%{;w1(${c7Wx>Lzt~Dx*G|XUE=LL(tSXfxQm<m<-tx(oX5@hl{G{;y3h0{WrapUpS
z9$bA3Ru@oHi^A`e->|k2<k+X6WN}M>bwbW*nN>OvNSV}3+}nRf<^8_9(5w4v158i$
z_O@lH;M{K4(wT^_h9Y_&A(-!qP;%ENPeD|wJy*Y->%g1}JEQ7ZG58A+eF%u?_13qt
z1y88HYyM)DGXmZAe<R*?3moWmb;-P(vgL$IIXmq-Ef<m18AGuTmUyX>Wqjr2rrT*y
zBzPcyVuV*NaksC1+!g8~vF$DG-BiUa$CZBa+5SrTE|NompDctwdFWN3xBZvi)DF(j
z%zs<BKLrGb#LXShPV@7#gKcq8B>rdJuTR{y+_|qs#MhSv;vn-y0?99Emqz##XQzPY
zs5zdC6SZZ(H<PNOiI>mg=VgS*xV<{$;M8uywf(B&%WBXKkt9obm(LU56@;JjTgLpl
zQJ}2vm|KaB?Gk`9u|4|tegB8Ob(6b%gx%bO7maTean;xd+luR{kkKSi15w*jI(BJa
z`q~-I*byvl8k2leKu7Wk`d<F(a7_@NaOlVJT@&7>bXC5Z3C+y`9|vlgocf*g9I1MW
zl%=}C0LoYXG%^nkxp^J++RCh?WpDgWOZMIX(pg0Pyh7i`9zQeMoH(c<AQn*2dHQhN
z-Hw2}@NhB%C;7-b(uDRchM$s0*~h&#aevA-ZKih4g<h+AJ{MVE{XNnot9$5i8yL)r
zDM>%sTV_FzvgIp2het{0059TzL-PXd1w~RH{7x9f9|K|#e{i@+8~7lq?A7#|7jAGm
zkN(t)z21Ac4y{XhEXqym(wuT&N@tm56))EPjk_u#9zBKTSJgd|9>y9!_l3}hxDM2;
z7}1A^wX<aB_LU*SXE&LYEN#Ut$Pvy%albovJsTNfVeWYy<Gl42G5pL=&+Tit%s$f;
zzT-S`Fq1iNsJ3n0yW8!q80vVfm=ybB@gtUOWRtC{4kg#bnA)9YnJ7?AMy5I=X`&x{
z(P3Lp{&Hp7$#YTH3KqAC78tPwi&^o=lKytPe_U>N?sNV}Ht9qHhID!9!!y_FRPo!K
z9f|T22N_rdq1!sWyy~T&puCg40e2yLx<vDmWB>#H_Nq42Q17`y;06J@Pkmw0Xr0}$
zEU%AAJHt^!Ky2VM4U%u3+c>Z1Hy%9_*Hy6dRp4+^&=r!(jL6vLS|Unv94m@z5z-b7
zgf>1Q4&Blec6b44MA}^PGBLfgwA}>@oKsdeZ4dHpR!T+RCt7S%NTeBKHw*6fF7ad@
z&fwXTnt5gis$xKC{q|5xuH0W94m6bHC6P_;Y#*@eEG(qp;-L}$$eZGLor5)Bm6KYT
zQ#SRx7~k>=hG<R}$9RkQjg07?`p5$n(usW`QS#8BI#Plh9OgOws}MMkJ0CTQw=E=d
z$;<M0yQ&!VlNvDf7SqWkWu55+*IFM_g$(;`&-8ii1{p+KwLYdv)zV{DcGF|L&P08E
zu-)?mU8@1to|K3;luc0=PPF6L2bhn?!OVl71wz9QlurNRF8^{U<()M6ZaNbAs(zp2
zwQ-jTde_U2RW``Kg_CXQqVK$zn)oUfeG?q8MAy6bEt{ndp~D@|6xD4vqXW~CluK3@
zHm9xA-KS|fz4N=(ys8IeBpo^Ky-0f^A9Y?_rQK~6Fs$UvL4~(`m%FqD>eXu76k4OH
zT3dl|Wk#;Div(RAvnI1`{Cs017Xz3`f?tg&`hp)iS?A|g=-i0k+a2x-;EbNMKVz04
zC{$H6Q-`9RQSU4Z7DoyT`3v|gvUlA3o6_PI_4sBdV!Y;0=-f&qsB#!p?1GuqtO&NF
z9x~iGb*x@-k`kCM`+XRI238?~6<a2{RTGRWa-)E^FC||@@^fifEQd8MqT2>(m5*JP
z@Ol}V6o5zmBmpq<=OjtVkSI9_dEuHwDP-T=>!<NIlP65hrrw^myUQW8q5l!7{==TW
z){o@y7O@gb$-(8PtHHI*StJK6h}@!zvnpN3H}_8CfOu~{$yCQ(f!qR`oB2ht?T3uf
zWB8mgb6y&$_D;4u`DNO|<A+AlBp&L&6Xu&WN%#!Zp6`;oiuG*T38){Lx@9dkb?z$a
zJKwlU;=clx<ATQALTBBYI8oBP{b1QXaX5v`7s*B?vbN-c=8z4UkFPkp;wJBGyMzQh
zzA_`LP{VCU$ntSViY)8z0){|Vz$1*7^t<1B^%J+TY{0JdF&$f_V3%&cld!bx^N}>7
zixMvSQ_uE<*-*mJf^w?%vm45C3!LNr#I;L;0{LfR`57UL^ZV2mVuV*(eRAS;y!vYb
zZxH>~0Yz!^1EyiZijn*U?iQa-)_kuRfvMzU%S4Kib79%FP7nc~&d8bGPyX&Mxs5%#
zNt-H+VQ)N)3IU1HSeNSk5=>Q;_F!c!9C|qLM5IlY!Blnpb6{;o-&p}p>R&`3kAUUz
zXRP?sLX~l0{@u<JdWBhWYvZBUbcZ=QD7&4U1mAw8>#71%beXr)M_GDuhMvpd3x&V%
zvSZwDwgn=j=*5|$F8ybUFugWBaOKL^TWQL61&bc0CT_>~=aoHV>3*kGHFTG!7+3Mt
z=WXX9i2y;9DGuBGtYJ)2PEcs*Df!w}b*~a9hA;zCjl*-BlZmBIa`+)ew`9+;il36I
zHJ^r3r^#?7`p#bA^j2x{=+-wObxL~pj1O@Wh*l3%Qs4%^b?%kLfRc&zu2$W81#noS
z79;y#(r*oTl?O0D+UCgvZbqjRd*`=Lruc#%dSvC0aPdsENe$*M3RK3+-I;I`rOFVe
z-ESsV8Nskz%NZJJIF##MFJBT^An2iw9Oegy(9D{uKfKP7lKwj%=Vo~sSfF4BLpS$^
zaO0171-}x#?T{oS3(Cp9k<<D0=Qa5zFQ!$goSOp=%xBB%%fI_m!y=%E-Kk6ShnYvW
zJnsM6q$dIgQn75Po{R*2yw`D?;~A@kU&5kCxaIBS00n3?ZvNs<ju5rPZ+%XM03cWy
zO3gAP+;x#^jq$ONhPdXFv60*8!RG7ND0CNBT7iOsCxg(B%<gp{NoLCQbNA<SlP6AD
zeGg2k3R2udH3SI_{`AvPQ9tJvkasqs?SJ3DwCx_l1*S!Ab2^*q3lNIF&Plc}|D6Fc
zR|W!$%%&Hz#3Yp|k(2oE1SIf0cdGi1ca-XnQgJ7I96guw!nmHkxow}S6}=piT-wce
zP0MEc6O<s9p8JZRu(_5BteV|7jCDVU7+(l|waWl|9S8z?fFK}eafb{ldXSdb&!d-_
z%K6bQvwarM&-Oo}y8m%mnF`3jvG<z(%~$tu&9s^KTE-sdCQSPq+4~A6Rz>OOyY8y$
z`!kY=KGI|7*niYdY-%2D$q&zX3)P>x780Hj`-ME`mmp1&iJr89Bvl@x>Q4{cv3Y-d
znj&^_DO`0cf)_vBBpsNz40)SG13o>TB0s)M|2qXxjB22@(P+zTnUx@Tt=IY7sSYo^
zt-YLl;!p`)cEsB;Df(jNV|d$`1y@+I0bAY*W4N<Iv4kmLORf+nH;}2ieZWilntvp?
zqgc9fb(sc}Si0U-XaGbhcbm4XVux3<K=<CS{XPq>u>yR-v{r6^vEplDXes8ty{2Hw
z&WBFy!6ZRox#O6)WK>>z&&|PMmCMW_7Nl{yls@rx`f6)zCy<&fzIw1c`;5DkPE{Bw
zL`|*5v;PopnN+E_)U&p<_p?84)mcwXGtbSb=XS1lDfXLIO!)T;f2R<7Hf6wL7~k$k
z+`P<y&NQDUClyU)Ec@PjetJrP-cf6POij4=IkrE(=Yk=wOwYI?arJ$&T%E=lC05Z)
z{|CGDiM_MTShU8pVbE-RFQ|^1VU%Oshbbl61?uojM&0)1%=*b)!o`W-Cp;D0m-@io
z%tYcQhEwrCvS+s^m10{_nBhwfyx^p!3=c58P-_F+^4Q*Fv7UthB(PJtP<=hFCC@vQ
z#2mB!<Vwz3w(0p&@)B_x@Efs$n2b;?PZJ7FSvcqUV03w)&!0{w>!DkJYQ?U>8tT?>
zoMq<&{Op!Wm6vcm8z$l><)`~2g=VuGtexskW|46<Gtb^R`H~#R%?NLQF?cFqc-<Uv
zE8jzMAfT(rl4LhIBGK#IA=WcIMx(+Kru%{`aLGO>loc6m*7V80$1s2hS-D&;Np4*H
zJ7uH|G`jR@x4#_Us(FcDd3$L)l7fsUNHP5Sc)8PeapCxM37ND_zY-OgzAXGR)DyaQ
z^-A-M&jX$-g3(LIIJFFR_Twcc(zFS1q0XrbmgSY|9J%B<ZFSqyRe5-Ellbr4=-W;d
zi7@wt6=#)V6oTJIn?CE+MX%u_F|-0REJ{dlPHp<DWVp}%b;jp)#+20NA#~Ga#G8OF
zJtfK~BBUx}eEkBd*t9C6(o*K>-A`sZrpS3cs?{`@F;8j#QK<Wl%gjaNZrO6q?+kww
z9jP$4)m;{e(oQ5b)YL4ph&gdF)Kvl&oN$+4F5diHy%zilKOF4iz+iMvJOk7C7TdZ{
zM;ue4cn?=nRzqdo;aTfe;%vLy)vsfPMv~7rOTpd*%w;mAXOeyn{i{a57cdmy;1)_2
z@ksO*HF4#MqXRNmOL&Dy%RNyx9*(TW(uChlj3O<c9X1snuJqPuZ6$r~<Isq!l@Sc*
z&bRrK3&7T!lRS^l&`j@$UHV7L9wH(t&FpqM3`69RgB~%hB^3wj@<P(>wf@q`IMD}=
zJYJun_<HB2ViY&6$)^)P85YUM)+ypZa_TY4t~0x%X61PM_A^m#Zk@ZW>H_@aR;Nh=
zI?Shrj;_R`7br@Ev(hh^G10;^E^*PQ?+Bkn?bPncX2Ovc`Xzy?80`?|yyQvEpw)!+
z%-`+9zcafBQFJ6GmJxE))NHO*-9yTh*xe(67Ij{)GaZU~xIw~fJ#B%f$K>_ALDKdc
zB0`07a=N#lW5(0F1(o)1^{Nq;1?&?o+hY>7$u-ON!zBmvY)9{;N816fag36A_d6+v
zE3t22!y0uylqJubgA;`EkI_9SifYu}G(~l_wSq^`j}~1stoQlSAuV(WS1^I)I8G`s
z%!$tb&Cf1psF#xs?Q{#_T@f*-4npGq^g&@ds-W?W*Cb1{)2__32ufsR2YpPU_Dj2^
zA)&k2K5Gu&3u{WIry1d2Y<*tK^sZFM(C)nao#AuSk1DO^ZoGqm`)^(7PdlHYx|f74
z1gA@k&fC{35rvLSu5(ZCk%YN{>vH!|il-{$q`!7GkM0=frbnU5f&=aB80pW|_BS$&
zXr0QIo*HBXr7$j4>FC#PJ2<P0m-lZgxs|SVx2v1!`EJGfuT$+bMgOv)k2da5E`_il
zqZyqQ^hupeX|{9XG(AUXej6;f-g)KAvESW|tEQ$Vte`+a_9RQltU2%X>*#myI7NvX
zKZUHXt#J?K3VXJMu~RClsa+kPm{{5mv|*sQ{<yykSAV*$aSY)HY3Y~`m0!Svt8h|1
z)YhIew?;W3tW%Hci;oU`mh4H~)NsfW#jcDz++SK{p=<I5(=QxdTXA)k8hf0d{AE1!
zXXzQpB4ARt3(&~<{IZvcS>o*3xwm}aeE=Mnkx3Jl=$jusd?Tu2pHJ~by+*9#_LfuS
znPk)b-#Ofx4E)!E+^npuUpynu&FdQ)a=P3Eu8U%mT8(yHvVk^xD>U%NWT|J*o(-*+
zmzR4VZyH{5v;5lFNQ;PKmB5>S|DKmwE|}KO&rd^JyFEZ#%%rfOpl>)27(p&Cde`30
z5`4|lcW&A$giOYNTe!zg?!D0sifh*vfnKz(Z|Qu)duFL=nVInbX$S!!1*?j;_uYJ*
z^>+I`9D>)DowgEsxdriGUR%&QmJU35Rwp?>p47eVi?(qRBN3_8{5iGwup!^{I#<b+
z9ZOF|_=8x3M^r@&DnmPpq2c6d$cjh%Zdq5Pt_Do#Geim0xyLmZ^UhiPXD#6$LGcbT
zx3)&*5{M2zz}Gjs%RMNl`Np10S=H4#Mrh`nH?yQq8pfN-$_SiB^6yrJR#a3B?=`iy
zGGQ>76M(a2={UGJs<z>mx0$)Q_vVjVPuVTa%$|35D<2&n+xq&_^6BJ9!V%&<Pgzop
zn2O}XV6rJGCAGC<m0mlWo81}w#zS*1$F)Y+&DU*Ml2No8YB>CMeuLcp!>e(Dp6XKa
z&0eI&@N=60sp02#WJ%N8#~lJcCy5cWWa>}4TS$7H`pYoAs&xdazBLnW_lw)_Qj^w=
z_n)XrlDJ+Eap2~X?tl2ZtZ_<@-C5agP_ZId3_WRs`kKZCSU1r4q~Zfl@`Rpi-hLPx
z;lyNmq2(!%x#Nd(V5+<1-8)<fkJ-*F>+q!Aj&t&ijEoP})e_(d_j^yL2JFcKfq?<y
zIW<Ui*Z#D1guBr-R~b^dj>b<6jEvp;EB(XQulJ|0h*qTgy<p^x*zcoXy9+S*IK}re
z-u5Z(G@|-$T&H7&TB~BTaNAYiLI|Rf!7>-<Nja#2>642`PI4oYg~m7`R%NEQwqNzf
z_w&<Ct5Pu`)SHe!*S~wJ<kp1OF^#?E|50B2oCnTkFf)q!6>K5G8uL$k6J<!bxNye^
zC$05Q^<FIOj2RBxm1_@TdwNAiR1^=g;MwT?{kCOTrCdw{w%X{btFDcur<>c*HSdOQ
zaC7rarO4E68?vzD_ghaZ61$X6oi-0l=v|q@DwS&DzqV+*yMtyNl_MA?NbEr>Q{GP_
ze(vvki&jqAKg~<3tQ6RusUvJ|Zgwp5_Vg60N5sWLEp7rDD1s;NER~k<sqLZ4YVEzi
z&YVV8i`^T_zlsZ&T>a<8PZ=h>jOS4)%U7FFSUn)2Bo8rSwMz$6vfNPIgLx03Hy7-7
z2C<PEZ~|`5u0D6))>W_=6L-MnncKMIpValins|GxK)6Xy82I~}#BoEh)i3!`|AacB
zRk)hQnw9Q6^~!<Io>9ZZyK@6|_!Gsrr}B)hCn$4>?oD2FGje8SWaOY)+I3{hCp#Gh
z%$2H<!c)7>8kM8YPzx(7j~(5j>9?lfv5P+Gj|E1QTZhuN1+4rE3Jd6tW2P{&#KVIF
zuk{g@I_<csa(nY+)l_GefIG<1Fb^G^tz2`|mcj!N&((u*yujKj+V+)+U(5_$>yNba
zZ>3MuIk85X&u5*rQVrWqho<4pFzZMrZ`mft+n`F>UmNo%?XxdW*b^0;qQ)zlZtTqM
ze$8I?`k9GWOSD`}u;I!av!t6o-<MO<jB%C!F)118HwQYOgz}-%EO4h9z&q)#N6d&r
z5|e4n(zk%30LX0kA*so<)h?(%FX9LDk_+kHS#{&nXWOH}qvoh@cU@ARHQ-lndCXN$
zg*O)s3w647oK}ySrFh9zM~uhzUVnbI?#%oUu$%Lwt__&j_%^fCipe%cqOIV=!^1=s
zPRE;-U3&+rF;B>n{N%_A{EE!9D{*Q(N{SDA;J<uYUZ$u{Pb3}OW1n*Ovm|>BQk@>V
zV(tm+R`zslFcEich}g-(O{K1hUI5Bo(@#FPbS2%e*v`0po@aS8qp&yPVBDkhT<$fc
zg3Fdz;0WU@+k}#~8!4}^a!1#VKU<bnHkMa6ncu2yz7bo6A>ZG}VaOo>N=;NOZt8a7
z%vCJvOEVbW{EXJJ+d)1N_YUMBSF4M-XL+m%H3P>apO92WM|Pk<D2N|~q;*yBwMu8p
z+Em!<Yk56Djjhlia`$u{|KY)KmNj-YH62|qiPpYZ)13ZFJ<=Ka$&-XE9^o%DPzE#Z
zv2kDb+L@I)w2Cps6vjhZs^Y<C#|NsADHmI^B+%Pwk{8ET<_~2p3QDZE#2HCkHQeI9
zw?vQ?u!Yxc9=5Q}K~l`YA%O*}_Q6yAEkZ2mMp~`}^@7s=g68Im)vfbK$K}Z#NYHdv
z$CoLeyVj%6h90Wp@_b}HkrPS!c_aXf|Kj~=Rgip=wrgFOGRwAaYNNq9MN`=-Z}5(-
zC&@cgvBXT^m1Eem&R-CMAsx=~Fc$F*0|Czmbpw)AnJ&w{-iP$6jdARDrVfeCNAy}E
zdw$}Wj;-?b@@Z3rg(G@%*p8Y)#K}BXz8Q2F7Do0<+ZwOs7bJXaI=Vw}>Ri-j>jUp-
zPIi&Ehy_MUWdS7}RdvzUH5&P|Iet|15vEypVb|>Y+hm<jl?oFFX9}q<&)i(YkmhlG
zXFhMOA}mj4ikPSOg4CQXvBP_Z*u#86uw_o9Rm9eM1g33$6wB}Pa0+w;!Q@74L}10t
z$4A4r#L_C)d%YFffnQbB7_wC#zkbY78_w?X%goZ!T?c;}3Vmus#-FXDR!;MEgX#UJ
zPXpV8m0SGFE9}P!E|{80iTwF3?S;Uzc;GF*Q>4YC=I7(bl?Y!;%sg;tjULkE?V!GQ
z{ofC#A>5nq`hx-mT)i!Jd{zjKjz1+E)tf5_SD`-mUegJ}v=;dPB%BQ_<|dq8ZO&;X
zKx4iQW)~E8Cr=W1{fdANp*mxB(;Jwo<6Bz-PNN1^qx64V%et`p_6p@te#A{Ks9|k)
zO4`Uc!0j)ddY`vt>;B26apKSj`y&+Nava$~SkS_QhT67|Q@{%WXY2ehV(dRZ%Mnyg
zN5;n)*|f>=G_ISP15QbQ$l;vWWZD{@<2@6O8;k*QzCi>aW$o#pUyHCo1mZfKXWPI=
zG6j%{AAAkQi0zI|Rai7;MP~3-sZV7ATX(hoGLkvRZfYr41UC%F$QPxh;S{j%08VnP
z^cf@XmNu2xP*~uYMD_)*6}Vw)qTlRgNwQ&aZK#YZliYg`dqaV(mMPT<zoYD6Pl9h|
ztL32EQ+8u3n?J+i;^NkJj+-nRJ0d&293|jk28#hvp1Q^4y%ztX&sL&ldZXXBJ1K6D
zC%<hjt}Bl!=er;&q5oqpAyLDrG?#GER?GhB500(k7#<zL7u~qAG)e-q7kY(*Y2|*h
z)VO&)X$n7Ox2cI_qG>d=_B)GrZ(%x)_~#!cAD_OX!#|_%-QIRP^hw^u4EttGg$tZX
ze}}Md3K98rKSl(NPItmuJ>$84HB75kw_il-Dc~JBQCne$z5J%auLWa{*R?95A6G*R
zk7|(W>r~=qirA`m5QZNSN*^NF#vphm3iNJA&_Hwp{r9bEY_yjs8Vx}@4RQ(4*UYb<
z%}-zJIrD^MC<$0+rGg6qLv!4+6>%<RJTNdI;v;ae4L+_qE*a4Ph9}!~u@?~5-O~n5
zK{h|f(bN16oO_gGoyJ(@%3|n2+1s~Qf+t>?V0%7#a`N|1B3Q}8jtSl3jJzy$cm2i|
zO(URFY@Mv+S$<3y(wqy$_gfpWfsD7eI*u8FyDBliI*z2;H>~F?+0BZqL8{tE@6V^$
zXq(-HaKh#`TrI7WgW<o*-gU-g4|mQ?v4)0~6OJ{ro1OK0`*@MWNzEKEW*{k;ngf4k
zsRgYPor+MVO43)vWX+=v;vUns+DyC({A_IY1iJWU>PBABm^Jk;S4D+{BYJ&{#-hjz
z3H2Cdj3)z@sRmO8xwuxMP+<aTnh(c?qh1_4DQsE4GWBtAvwn#PSUU?KBYS?d%YG($
zB@4mxHUj*^p$^#2_9KZ4x8p4QT>ZUu>`Tb?Eje7w5E%ACHa`x8G6`%urmqP{PMkMb
zO?4Fa-7bi_T7UMw>Dej?!2ZQ`8TtcV_eVXCJkMg%FWzg%7=#`E0$^VytTJd}LKPeI
ze*T`t7=`KFNN%<cwi~pR%&ME}>Ry6V>ruk-*~q=@{rg;O)Ku6n!p3;<slX$J#g?iR
zO)PHtxkbgLyPs~cuCVupP>>{|G1#1GC9`C1yS3pK!HO{LN{lH)_45vBosD_vEYyLe
zm7R-@tWWBu&{vh($19CrRs11R0eE5d$yn|$W}abc4ZgG(<_3AKIjfJ9^JG0-kjH7L
z#y0OA3RQW$<?(n<S+DD38-2(-YyNA}gHx@LzIeGu>g_vI?c`7HyGcB>31Ne_OihI>
zw15j2=B455+aSQ9AD($)Ts<xAF*ClW_HsU3TcGNiu+i@=Uj`Qrr+nbX4(IvJejw2K
zYIO{vq(*M^N6T8Ur`+1{f_!zHx}}d577>I2O?R6Wg^fR^HdjLI?Fn~aknj+Q(%|T*
zM9geem7s4xK;Gz<0%RIV`uv0K&f+3_l{Lh}=*s%)YH@Wn1rR&m?XkZzIqfILK4t$)
zVeb2bRUnec4NEyb=i%Y`zT%Sc`6}cLv%G9~SaiBod+*BB3NR5x1I#vyR?i^d;9(^F
z857_jclxChCObY1S_`=Py_jS@G@2>$Z4%Qh^L$T=Cn}dsrfugN&TyCb`QSu_envCi
zOh=oc++4rqO1~WB6Jf;ANTq!%i~lz0c2@}A%E@ugRyJc!r)f14BF6s1t)aUiGzyON
zuBfAB9ubshpn=WkZ8hI|>tO1^-prjcl28n(MCl!Ei*t%{E?5Lp?UD}EXV9V5LB^z2
zzv}5|W~)aVdjGlqmzS^AI$Nd&70&(krVcfIIGKNaA~LDQv%(rK&Hj)H8W#&6M~NS6
zdVA^K+1nFqoIlrX$E(WzflFZ>vGs%%)pi^<&j;yDui8)V$U-}fi0a{NF)D0|E}XHJ
zHCA=1S*(<jBsGYb;F*G;?#|A4`F&koT!w0lAyW~-4sk6~Qc{i;37<cU)T!43*#|>b
zR@Mrv!PSwdGRoW8`Qr^%b0K~Z`INh~wDgdk31sTQ6S6Qd?vbIPd-v_zr=Ks+&RY1q
zlLbk4cr8Us@q(1)Ly(m-xyq<Acj0=N$pVzgI}PNsg4rZ_N>+OjA#yK18IRA~;TNsi
z+S!=2H+gZO0y#a#IItbv4>dj!d6fSVz6@g$xoctIET1Aay!_Z)$n3r2-Fs5WS}d3k
zL!)Z$wv988K)>qViQQqMCtdpE^$gTPU!UlD6GxUsn_LXPpZ%tiIYvZ%_cRN?AdBju
zW=zO5ljDbLt!QdZk3TYAH*uT`i`tp0uV*O<(-C3q67aD=j0Bu+De#~9@V7g!?tM&X
zjQRcwTwILvN17H2jKkyAv1Mh#U9VKoK|+w*N~)@HGxEwYGckk|xeF7UD@9oJy5rYM
zASal;B-H%=DhTi-eP(2p=d$5w$?(%b>s-W5Una7*))5%Ld*b4`=hKM#*QdaswMa#t
zZh>@Mg>iLm#xTtBU32q|1ag)ZdgVjH=GAfYmHqD)Y=Y#4y<khW68nSeZp1PcU!yHQ
z>3fn}i$hX+d!XqNCbyp-g1=}gED88hxB5Z|TW^!>&(BLU9CU1FxhxBL)N@&z>AzWb
z%;u;S_k<>%S%f%p%!bUrx#%IsclVC<jNk_G9V~sF!{HJmto^8@0#itP70BvMoYs&F
zH4Pye8EB`zPX9o!vOPk=<w!Sj9sDPB0QJWeP@M74%IEuMUTtC!RZ5&>sC3`Rea`D-
z&$e#zzLQhAsbM9~XCtJ`qPe+wh|rtK2i73k#_-6^-Cc-8v8AD5#*Le<JU}*(s{i=$
z6OR(OGbt&Edusm6>Z7<e0D1AbX0%w*)e!%M@wV&a{?DIwyM`>IRhF%K*4B{sn8d8q
zg4Aj2w>}5t9h)a&(qGK)G8M*a@hbReyn5Oj<?Jk1+~xgVh?H)_56;QmSf!}x&lvu!
zhH7P^?j&G5E3nD_icINTuX(Gher|e)w^T)J5Ap?W6H`j(+Utv6)t5C=a*kKrP9Bx<
z?YH4~3$Z^#$=Y#Q5)HrL6rbV)hc^YV#?_T7$tS*kpV8_k6{!0=fT8f_D<EJhOhTSa
zKCmT=XfQLzvmi?n>zxF0==ft-%X?oZU6uz19{7Y6Jk&8)`qk3HX1QQCJ!`W;F_&P(
z<J#aY$t>>Ka#7MaX8%<3k~lCM=W~jB(L^Idu-jY~-Ay5dt89D_MNX>z?+@8V$T4{1
zZo_+0m`C<4_lhImd<$l_>RrBjZ4_zGA>vtB6TYx%pO3~(mB$0s`DuDCTdop7jrFgD
zvL@JbBsNCftv|ZPp?&-11b~94t(2%AFV-QqsROwMklSId`%L35%JO%Q?%(IFPi7BX
zq7h)mx~lMfq3Q@BPAeoG&sFBFJvy-+6^I@#rtAAH$kaJSsnPPv1kaev>iB&zXcT;J
z|A&25|G}{sb9nA5kUSrYQBJ{8FV~$@M*Uvj2a=iTCH1HPFdBF<kOiN-x!FA;@zP~q
zLD^*F#|k3V`^gJ4R|`nE9mVLKbzdB`xwTDMBsC(#k6!33uM7sf%3I6&hIlT~=o}N<
zEiTFs-s=?I<6uMvZ^MZ-??}s}b)sb16pmRrnWeQjPFVaj%Z0f0Icwxi!0!NS_GSVA
zCbSv>A=op87-4cAL79G8yY{F4x-f`GU8p7I?0jn4uL&rk9xWU@yc21^!9oMdCccvm
z;yp5as^h|^R2$!On1pj}FxG!e1)m&_%<ZiC#7-I!`jqb?*dHgL^!W)GXrk2ft347B
zjJ7oRNoL84Mho*NWyu@(M$3#=*$Y1!FJp<*5`4;B+a-=)9!y!p`0CU0huA*gbv3ue
zs{+2nFYhn@=GomiqDnogK5}dyz|*S+4~`3Y+AKTf(vj5*<{dkA%q!=}!Cg-)90)&M
z^DV|e#>6jN!bcI0l-#tSL)MJY1{l=n1yjkoSJ+8gbILKy<l1XC^4k)-&GK7c?|I%C
z*6C*&p1e8ypzkF1u^~_|Hrgc$?tfoOmvGNx{=4e^%~c7^qYm+i8SWSf=JBFH3fc38
zgw_o@s81OrNH}`0z=x<1OS#0<PgOL*`t$SfeMk-L`^0kBZwq6hB;0;H`=W*X#^s%#
zNS?NtFx>1Tjq9g;9_!`zi}nls7aoy&i+;gN{!LU#aa1n^7uUWz1Tia(s>nPTznz8{
zRgZFW1v?AP-f6k{N?_(=__lyhuMkNHWwv!^T#EdU`R!hr5ZAPvWzj=J(JV`guypjt
zn5>I25#r*KCxo+%PX`-FEU_$hC1Hv6g%S{o(~b%x!AHpvDEG>m@Sm3PPh{;9RPC$-
zDoo-2q8>^>gE5nc><rY{tGALf;ZBMuhD}q8nDF5L@%5HrRd(&xu#_~&ViD5a-Hp=H
zAky7PgLFx=7Tq8vt#o%c(x8NNgXE%-`Y!jk_wzpcy?x$)a2))&n8!KK80Q#c-uDlk
z?ikYvgjRgjjAD};fvk}Eu3Vm|row~_8Sf}#lG<#-MuF^C3M%Jl7-`T=Ye}nQD=d5S
z%RYL=gx{&E2>c}D4GQqz$EtA0rrP{QO7ew?3t)9ER=l2gRS`L3c16KAm>$9Uyx&Z6
zy7cC7BYA2TH@dPXj%*-<2c|r&^&(v9pLwgx8{pj;vfGeZji5D=8uIKMN;j~R4}SBv
zd)`J?jO~4pWY}MP*TLZfRzaqxks^D2u*ceG+BLS${AGMT@MmV06A_yL2K}#Ek8bL_
z)=q0-G-ikPCp#`t7vVzzeWNfZ9;h%ve$xzZ1oN__H8F{#jv<{sh{|!rV%U(b*)`=T
zY516@kN-u>RlQ)k!A*=Nc;seVQ0pO*<6cwR`OK(s%tuLp>n~`&rXD~icpvE!u&7S)
zBMYvb^1ORyB7RMKQQ12A)XthnXGP>IOGhvxYE<X1-^iKdqg|2QC%p%!!`@_lh3fSz
z?J~l|)N9Jz!JA`xfWLaP*cG$jH8>W%^&9%Byr19zz15VcSTwgsiyD<^q({=0Jkq5l
zb`JqFl(aC~Nw)W+;f&rYrI3>r6LezeGFerCD6n+rS=5E^a5TT`>BBs8zvI7A4*uuI
zDkUU<^D=`zF=Hqk*pIqj_c%w_?JRUf&|ylZm?N%nMkGXcye2hK9N|8Z=XgcLc151b
zG0%$EM+W5eT!DJfEn~lc>ID-Ne!HezF^K-D7Ju21i*?qz{^=AbZd1&ObM=|6kl4zG
zTpoG^-q3}ez5t=?#ho!I!9>rFQ@2hv@l~0r0F;>H>BlO?v^#vRCURcBXv7Dj@RLjN
zV9{Equa_Z)j0zO#6-0x7p@(+41GK)jtO~vfHv`0!@TM?D_Z`>YC!}*Hih<(%6oFOP
zm+7rjf(y`Dm~9iVnLqxjtcYAZ#Xn=yP(hfsAMXy19zqA_vXm3qWFwCxm9NdWbb7=o
z{qAD_(Klv+G_R9_y(uHy5<cjBrWt<g26TwN4!d-ux52$Ng3BNfLHE%IN=|WB(a3gS
z85^;8@kIj{SUK->wI5&#oH3{HnIAxqk#6z+vVG1_0>Z_zm5O8nA74AlHOrl!sNniE
zCQ~#GEqYV`$vJaRxx0QHSFX<<1XeM%b3ojEE*3OsF&Lj05UQmR5K+|jFrCuF{%#Pf
zHoW@zB$1r0E!13R`kw52>ef15bG`f3rkyQ&&2&ZYfy*ZoXRiLQG8DwwekWZ!SCnGH
zQS)--rio_S0x)g>o;+>8Dz-GX!w;-Y6VNftBccDt_ZsT~oAQ;E)GYdTPWX}cQK`R~
z3YxjAJJ;~OTORfe-RH=w`f5sSRyteUNYa?<oX*!c`JGbzF7{TP*NORAMt8_05c0ds
z;8Y>>tU%FoHwpFR!xW150uJ8}xO4Z*CxFGYyD{i<06g}~y?01FV3cXoZHu{WDOa|t
z^69g7MJ`Sp<l4MPNUky}l=~^lX~arS3hhOQ*R=2W`G(5+P^q>MbN>|g)?djbe5rr9
zrf#AFpX?dpj)#L*<Y!9bw?{Y^<&&QOniO9QY#xeIv?NHy2QN2qT<GyAwn1TQ5sJS2
zSdKh+-KvDJW)7DnK@@?R1c^$;-!I6&viHu-Ejs1<yqM~CUP`ID8H$lFxHXq(DiDag
z3$C*o+6ozyr6s|7g9NL~RAHxT_b6=fMB!6;)_`!rdd0BPhM9VjgF*fmjY}2lpW8Sx
zGM>0%2d|0e<orHV&}R7nPrT=H{k%!c1<Rq8fHbkuxowx}x#c3v>yG_YXK*!dx)J%(
z#%CSVM-{(f0Pd^Ytl=OL(_#uzLdMq?ZTe!@dCa73%QU=xtJbg=>DU{>Ho|HNb5Q<I
zh1WF`i6TGx6xeBcbKoY9=S<Fvj2~y7(BrQrUU-m7ogP-wu#hDWA3kF8D9%DR`@td$
zd8cDnG5;D{{=MRBD**(K(yzmQYQ~}PnsEnlvpC)}RUTHya9cO%V`P0kXGT4N_xVlK
ziA(iS`cfl%f};~TgLWUD5712VucGEqBYi!_a7D!1uix?46v(V!v|}Vzihpw$^F1}+
z!;UCNzax02v9<8226tO<fBvl+Vr#rPWl2M}+(>BaItPa1r@Ac9m$}47)O?&&v7Mpo
zBOiTE^tjRuwiE29d46cO&cR>*We?X?gaafH8#W|liNHH}T^$mq;tc-MZ%sOM6{W<E
zGAZJ+bl&HtPDSX{-G-wfRve_CK8_p*4ekezI8lSpa~bNFFre)qfdd+kS^r~liwAO@
zsmjImuE1ZQix}mN#1yP3tmySVdt?CerWRh4{Tk9gQ1gE8l6+r2CM}MvU&rah7bzwP
zZQ(UZt{y#3#;2~HH|e8n_+ckM#MjN;|APXn?CT%W;P&=7V-*)%X^nQHp>LbEm+mJ`
z+K0#|!ph_)6xQHWn9|)~6VGp2A*&9_0(y+fUiNoQSo%aaSljAKOPK+xbOSyw(^r-X
zALIrRZdcD9D(ylh8j~rLd%X4;zc7E3R<>jUO}q5qL)JE#%NY_XBWtIP=K<o?ZA`tt
z-YR*eXenU_`Tbng?KF<agGU6r6i&+-(hJOPpDiG7H!6k|&S|9HEwcKLiT|~q`VAx$
zLnBABXn1C@HU`MRoxjG<Ye!7PS$v0%K=qSu^wj(_@1kQ<>jvz^?l+^-;m#gsTr#`J
zoPy$EzeefIZ))NX*gvkm)LtjlbmXq(t;|&SbH;icoV(gM>1dB4_P9HB)?+vP!q8V5
z{ccDO_KEZTne-RXqdZ=nXekPi2%lA>NX&Ie*p-oYN0NW)t`@6&T~jgmS22KH9dO>!
z9q=MzNZD!>l&Gc3io0@6lSv)qw@4?{TWP%>%SIcX*T_v=_rzNQ%!NlG1dTH68)v6l
za_8oos#C(Ag%<`uClmU%$I_OwuHwc}yICx^kW4vvBPdGaez^3GLx3-IQ%ktulK@oD
zkGhGm5fH1LHfPOpB<}eSt13^bX;ZV(J)+a(0sc_|RCxV3Hlna=xzU*P#D$mppc_4i
z7buG|{BH$v_D_MVub`i>Bu3E=tZ0aGl7BME+G2Z0ry#81i;=v4xtH@e;q13XB0~^1
z+5kG*Y@Fm?2y=xva&QTUMB1$8(zW6&Jo-u%syJkK5+VgAT&C)MQ-1&<@+aXL&&6<E
zTw~=+JLHU*yElIo(;zUXcMNO!;7^2jXZYI;K*$l$ivt30E@&iJ=}pcN*H*6C=xg<!
zw8&!R{?hwN0`xm_`1Mq<96sC;D+wgL>P2?Ag2aYMK)jc20_yP@g7jX-5f^>!$kleQ
zp!JZsyP7`H{d1!aPrO(J_c-rsKD~$<&lfy-p}qu{&M*#F&U7X8P_tWqqSuy`E02=-
z3Mk-@TdKJJk7KkLF)Ew+2OcnWzx0=&Rc06E6m(a|OqVcST9!!BPEa<&36&T>^mOcP
zgi@68dTVF$$-FViEj6J{vz?NiJPi9UEg;_?Mybq~^E9wFZ{S@y70>*SC)+}2gDW--
zi{m&H5Cf{l@Z8vRWfKAL4B^JbtBktbI1bH@7}|n|*XG?MN+LM2DT+>wt!pnx8t&}L
zW`#Irp?kmcNL(@aeZo&+-&rcKV>XL4z$Yy1Qtn;oy&RfKb_O2iv`ZlTMOXRtr|tlR
z48*f;?toZN4oXp|xD1s5LS<b+m6ZZ-<AS$@thMysfsig))ITXef%Z%Q_b|iIGy7^5
zce3ioH+)g7%FNFz6ei9HHRd&~kTnJ-?q5?$elLLfGbOqVUHR&-Pbw0AI}}wkBIjXc
z;@Lnh{ncU!MgSDq(T7hyx~<|o^K8S)gHr?Y7tx9vuIXLJt&0X<ScZCRmEN7UV2pK^
z&*-%Vmi@>c8=d<Yufu@Xf090%tB^y<_cMI$$Aq!MaER4}o@HESpH;J__Y(U*dJ;gi
z@`pei9oX!HW|#C)M~4O3gAl7$LSQDt{`r8c{3^f-EfrX~q|8ej-18N7h#HkIMGar*
z*qDiV!WFJr9T+J**_0aw^d1Cq0?ez)?qEy#R*mvD-CYa3Mej^38&0*rid<CR6~Tza
za#4naHP2KHTmlPu3)i#aKFh+Y{3`sFRP|A`jmdiU0;GO;eC2yq(D~a_(!057@1Vqm
z@>$!+yT6bf*Y*J#o_H4ST;8i`RF=wTvlO$>TfMM=)>SKUAwok-$dJjO*ke%7$!1Sj
z|D{mi`mKZK(d}OLULQfc(dN#i#aFQk$$G^Pb4jh_a9Te<;k5`IKL6&*T~*6M{!Ygx
zjWnZA2NfFN(M~FET_I!WEkA7#yh?nkPUSE$6n?Uo(}S{Qygn)pbb-;6V~GiStp(FJ
z;n(!F+>0tzmwhLKXQ+P(ZOuP=(GnLIEAadweB@<6Sva=EKJQLBS1s1d4m)#imq{_N
zx4J5$R7A0+Ts%->Gb0N7s%PQQl|eh}pP7ej{dljsvalMLYfI=$apxB>iAxIl`>KC}
zeEn!6t{&CyH`5PJfhT!<97*eb3hWbb-|!kwu!j5Ws`beTy=ZYGnhM1FN=FtpwjX#D
zO5R-oq`k;)|LGiVmA|m+1C>~-kU*(QM<d;8#)+s)mFx{a)esBvZd73h^F}u{g6Yd1
z?M7*$(EMr!wkzaG{u#(f@ap=&>C3GfXjSnVElCO=_>${oc0;aqx%3_AKs_NjhWxl(
zw)2ASaZ8@r-?bhySzSk8D=D(%Ua^Vf4Oyn{1MikT=2r%HUQ$W(D$?rQg9u?;bFNnG
z!Wz$|GM)x20(K?K!S|-;{oUe!nbx&&f!@is=UbM#@j3cZWF&3Ch2R61vAB9cR)~Q&
zp)IX5hfu61)$^PYcE4zYy-e%==C73i;@I1FPxw>D@iR?3+J3g8tKX4V=6>?8xn1qL
zBPSUsfe%xps!>ufw#8Y?cPB&w;oq=UVvqRa>(3O_aZ5*#)LX(14FP8NH<1wWk4m~q
zQbHA!KV6aeVAuq6y+=xc>ncVKNPpLa{2&0T%I~5jYJeziTwS4E>c!0ct59M-OpYa_
z`4j`~?Z{e9tFzx8$vF172@_8UyKq1t_RlA+HvJ2$FJmhZV{@`-!Mj4DTRZ^CN1CkC
znOW-ZS+FV%83Uxd)jZgD+k8SiF;}^qz8{+LkV~LraW@NB4G{KlrJu?GtGxBefRIdl
zgPVHVJr8&4>zj}Yf1Brn#{*i%=g+rj61;ahlzednc>WT{grIX?fcG5H)!wq<L!^uv
z=2p}4Ym}6OW^^gh1JP0AF<#NhgUITxqvzdzp^w)Z&+p<^9Ho##D_9g_?@zRzFdmQR
zL@rlyui8Y$A0FdoboJ<~7wH2}TLFs4YHa4<_dS{l&n0VOLTNweiiP}}ZogGx_cPHK
z)YKIAJim;RNCaX+XP%-?$Jk$VkhZ6yxBkNFl^d4paNUgfOPeHz2E@f1=X3!%G`px*
zC5o!W{023CaggJZ`2CUi29V$vImbBvep153;aQm-WD|vX94KqrWrfbPyF_W+xjNJ$
zp_Qkgm7A8s|Mz1*5&j(5a&wz>TfnUt*=h%$L%8*0t$jPds_*OgCehT;L*rg_xIyl|
zuX5-h7A8d#($@pdd+@;NaMk4YurWORSbF>d!|3NUK2ekFU-H^V_)=;hAG?t>6QJ4Y
zz}W@~A0RSM+p1;i#>_DXMCnndI=9_PX6`-UwODrcDw>lh_fo%hCdu)*C&64mb}rar
zZBzBdNY5s5B^bHBzPlVzkd6PPTR8$Ln)YoA_)G@##9%cDzPXnXMk}Ou4%Wc6mAika
zAD;b^xM_HY-RkksW%vKHUZ?#vnV_iyWRYF<n|P?uw*<^liJM6R@_z}3gjawx45Uwk
z6%S9$c<K~)z>zuaF^^i=8w<?WmW8Js_o-82{^*SZZ24~YpEL+!<s;ErH3*EPdGMvL
z&5^%NzgNxFq!W!LPNDnebFZUgPwz6LewzOv%po8Y%3fJ-W=<JW3c|-$8cR!@w{K3;
z?s4{ML0qe6m*a(D*k$v4r4wU)U9AB=0D8LP76S8_Zj61c!=x%tLx(aZ!@l*Lf1j}a
z8{RAXBZ!sXZX!i$sP8frb?QpCykebQ>8D0Q5cqLN>&qs7tgN5>ah@@8wcp9@R3zs5
z9^;m=-t+4gy=U{5{ddbF9{S!HRM;U%z;^Q1Db^%f3=>sp#C5v5vjjyBy-QRyxHZ_U
z$+HoAUyPkcY6Ti8%8LA7$iWAo$qSCabZ2eIjzhDT1bwjTRhaJ34yg+bCv^U6L`(n?
zapQH-#ER5V-qm~A|M7~_Uq@Hra7;X^JKa#9P$Y21FDKXbn8de%Dx_CA^FT00m|9B>
z{G}^qsU67GT;B@)Lh(Mlzi1=$Vmmg9H0MQF)-wotdZ4ddd%F8gA`~`o+8wILka#M<
z?#D?p`^rl}y3l1>NG+>$Jt8wLF!XJw%+^(-rF1prk3MJA)y+VzuMFc{ot^eZVIt0d
z2?$N;KXs17g&zF*V?*jt9O}`9CWC0C-|@4W_FL;Ak&llHY@@Q4I0}7}+{=N)W`mpp
zbHT%F0`5CxuVTc>UuN4a@ZG`5VMgF4fKzuZ*JP31H)Q4*9%mNtGwn!wI%>o;cDAX+
zdmHQFH!R?H%-xkLsrY!K=CzScH}g>%vt{)aH)xTK*;mo^R)Q@@_;&wF96r?m8s!`)
zgc$%4RH%)W<cr<9>eH3JBs}(_gRpW=!~+3Lw~54|4#S{tJD1R#mgP9TIT~B{3BL8*
zaFE&JWc}4Tvz(ii90y4%nyF1;mEEw?d0vG8LchJ3VwB3}$U*s#;`LgVsM}Ct18z%n
zL-FMFX1T^YyMlt=ceUiOVYm=S5?NngRRC=4;^U=l&)xnI3E=MBX4U-F+2Vgy7oA4^
z`DUD`Qa}$8OQ20Q@d<aS8}*OFA5yql;t#}D#7@Q-p1v2My*oWaOB4<<hFw1b&(ko+
zHfAT^C0TvXqpFqpjnCh0(?pAe6jZHKr(__zv>H?t)=HRp+-sLd+}SP^Wa|Me=v1S^
zYU~b6SfoBpoZrCFZF=;L>MT)E6BvA*#j5uW-jgFg^ka4M6p663=vDJTX-FD17ZC=;
zq5rsRfl3rWLc`TZ#0rGh(|J`IS#MOm@&VFE<unpv2VgOxZ#`)5qD<*{qOTzMzH?94
z448*NS1F!^w&kT!F!!du454wbV%>bAm@wv=qV_ZSc&1oXEV5InBVni59GWNd>FTj<
z95o!Wt-_kK5RK|G)4TfV;)SE&T3>n!_h0EvSG-XW%K4T`ibMDGcXK~G0o9A5+2iYf
zPEG&^@K4~@S~~;6<h6996fJ^-0qN;Vfss_^cl}sj@f~E|yvKWP<uge~32PMfBTTa&
zgdD3lS)78;?h6@Ek^oY|3y*;cDx$eK9=i5ugVSO}HGL73oZgsp9DcD*rgnmjE`5fm
zRHAS3Ef!2r-oup7^T#2jF4%Th#kXz++lZ#r?Uo0qS!>uZ24JIQ(IZ^Wu;TLec3ALl
ziNUxWXn`w}S^kK_Mbx`2JR}`kZuA*Zn$$U85=p+Zq%Pt9G|B0VzC2^!B<wt6C$08L
zvlNH12!Fts(4AYqp&Kil`u+3%>O-5+F(eK?q2Nf;V1@~W-t2Ew+%zjfYWt?D7~$wK
z2{N9hYEt>mQj$j9X+%i66E@72gkPJTevrLbC|8%Z?@+u!{(p`Ys%vWSM5~_++~etR
ze;_UGGhk^L8?ED9Onk^Fr#*E4Y<7l*-$Tj$%uTp$#69Vih{Mp>^I}^vGDj5uM%=`6
z%8PFW?(5bcoR`ZJK^eMS!sK?-CA~V$1ds(CsUrHdloVXZFlC4Xpg69AlWEbgvBFc>
z<`iE^Z8yG&`%5^|qi{%j!eezx!vQM&t_OLo48>78uPT~>og5H;>ZbJqb~XPA?GjOY
z&}zdYX;=YiXs;6>0>4Pq)&-$v4Y9(-IueOJ1=Z<sO!5iD1|6%7hEvVzx&%CF&o;dA
zalF(?c_xse6>R;$S%5fg-0FiBpR3H0d5Z}U+E2-DB?Zn(x4t({Hq#$TZ+88&Tgfm2
zB5<cuhJ+HSA^sJ-d-|6O)!#1;Sm|lWf%>T+48@Tu5Ym=3m6Wh3-L0UctX_T@Hq!nq
z)q_ks?#(hr4&t|#aeTvqJOQS1A&@ktlSOgw@#S!)J7wQ*M@qu<P*z&fV^95{4S7wl
z<9aHb%0HDXRl0xVdkP7ErY_Cb#?@!Mx%PMkXtO4+@|7E;(?NN-_M7|#<kbqlK?)fV
zsipf4&2MxYY&L>8Qo0V}?%TpujcmAZPaFPqahj%PuKL(2pBvGFm*)-S7|P1&^=XmU
z6~|s_bYLlbBqKf=>`4u1)=;~bbuuSVsNLviI*KOch*kdQ-R!c&1Da)>N{m72Kzo+Y
zaMf&v#pHMBMky=3oZN)RpIRapCPnmR(0WWL!06rEXq4-OvYLT#u`{6&!a?l9k2v*$
zmqS+spK0pVnIg0FRJd`tiEZYW#0b^Z4j0J7lzP@C>w(SBe9YwbL?Lt@>w3jwjitom
z08)O9w)XO$Ftg^L%|nTri!87te2?CA=<p|14Ka&);z+mA2L+~+nF}y+G9vZl&LfIc
zaH57&N5~Y9x`Rd0MQ;Ks9x#$^*f)RFh<7Q_Is)*geo5Sslf04HQDB+EnHIi69NW4V
z6$zpUSrgNh+(O-VC57brSru7iUCw|ug1Gl)88d*-5F}(kkAsE3lJ4o>H<te`m|FAt
zGakp1H3F^yv(gk3MnPuV0UwvW*r~v%3dCsad7S&IEP-EE%?7tSY;Ul41K=`BaXXS2
zrtNssFvr(5u2Y*teU(ZerK+i|ZyUrz?2I03IN2NW=0S;z!{+YeXO`S3d<Rw0CohPJ
zyLyHLq)Z*qR#G4FNWAdM7!2JnZ~u1lq=7!%mloKXWf%h4ic-9AzD@Lfl>>Nf^hm8P
zDzke}QCwt&fx-{!ljq@Nf8lzQ`BgyRPRueW@yo<YG>^*j>8143R`}ST24^D0_JS$8
zuGV<fz%W}|hXc_@L`9tmuFU~Ht`R5cn`wp-UG1Wm23>7w&{#KgW2<?Hgz+C)%J>K=
z8+f%6wMer@TU1u7hP4rh`G(?;yr|3VwW+b>4=lrP-t@+PTIruGPQSU`Mz>}mmv%4_
zhu_B?x=MMY_ncgJP}j-lkV{?v>%7(}lOdBIy6`!cT!2}u)R$}V!Gs3P(6IjBUWZQI
z@0tl<!#Gl{>{N7q(9Id#w5N?H8HwM5K1TP9hdR<2(3AFvo4<|Wc;S6SSSl(iX1=~l
zZLu=>98vv-Ik9FxIOsu;u7k_GvNDXoR|#4$(PODw5x@<K4!)CM?L8ZltURoxy0nfY
zyrkIK&ln3maXIZ3KG)G011m=NetKWm2k|h=VopBsFl~%9ZNgMd@SIwLVPHZXQ&OQ8
zeL#+BZHcy2!DUG4@#m1uCsF+I`{(Not`QTXz_dsflc_#GQ$wqm^4=6PdCY!x%f-3)
zA9WuNjRw*MmE7<YiHVQLS!!}dI668?%gG7vg*~*QKMx)PIE4tNz+`sDw9dg;1wo>r
z=Sz(O)5jdK4R|`CiHnQH#%E)I1<+O1_N8owSz3x)oIDO26n*DtaaYEG?cVN9*#Y}x
z(&ckQMj!I2n}eZCf?*mjWls`ALay#CO~NNbj&=wuet3hnn%$pm;x%huA-}7HqN!PL
zMD!KKk_$;pp016;R2}$*?WhBz!|%k+Xa7vdU~PoJ6BRddSJiTw?DX{4Mn>d-LTYSK
zc{l$~f1tolr8MHmy;bK;St~}UMC<~0P7!bgPY>aLznszj#Ev@~3X6QpKRG8B(liKZ
zlx&^KbVFnZ|8#P_0F7VyvBFg$Y@Sm$acxPRn6rz;-lOgMsC?$iCsVq;D<th#u$(Yu
zrZB{abW?l-Dq?#Fwv9DC>Ap58FgJc2>6G~J1wDS8IPK||<C@^b+a`~;Hk2{whE+hf
z^FK{-y6{2T&T?geir(HrB_$<mFwf6;Jw)*0ZF}CjZXyB#5#!^^P5NxE!pmWRr`W5&
zAD~Gi{rz2~cmDV*s|KON&4Qz2${SnJufOl4Y#z1a$+0R2uD<*@b1bv^fgV4PJ1t@O
zFb~2oj_n(oQq4{H>7+NQF7L~?`M?j3_%6P;r$P^<yrXVQ6Q<JDV;N{3y?_T89Zt&)
zDwQaI;insqj~a@^+0RI5F}c>W^alE&8*Xg^BH({s*te)<0>FUMR96QEnC8=~+;ruv
zyvCkRQ(ZCyNAG+ee!KYsj_Q^QXv^d8c}<Xnu^omh8LBwpvD=`jT(vY`NtX$$ls;%2
zoYRf%c6a*Qi!V(-?mXSxv-rctq!q)0tQkgL=_m_bfl2uE<hSl3If>IHI9fi&ErA*+
zT8byuexK^-lL^JJIFe!EzhQ<>d#L5qqGK&S1Tf|f>Xvb>Y;~9TKezQfR!BrW@HY+X
zhTNJ+4btOu_z^)uQEygmPS#3R*tJ{$G@D^Xiv2y-KQ|>+%J9rs5I0{Uuy~30jhY!d
zJNw|{!=3Z?H@w=sv?DsQ!oFQT-L=41H-YSY-sU2YGiXgD?uQJ+{T(G#=9vnCwhm;C
zzr$eHtA;(~9rIDYf>>O&7CJ;o7`<?-J;5+3l2#Y&T)z!`hp5a{KCqRO)nV8@GYYbd
zWw>g(VeGH6=jOj%a3JBiaIO`ds#l4K><NWNvo;5)fCSN1y)_i~>7(^EX6<EPkH-_D
zRFBgvS%?x{+orj@%ANeC_dl{gU^(@vK4mqRNJ-F*nuxBTzJWpXA3YvGRrNe+zaB+B
zB&%o3$?uXu2{A(*mEJ@d#O12ik)Y#J=-TCo`^B}Ed`A<3z#nA)mTV@@xDIfasC-AT
zsmK!+y5M!MVr2NL>p;f&>a}MkmcXHMQi0|Qapx7a!{}n<{dZHurTr#R_cuS)MmImK
zTHVwgu*1~X$@7_9k%PGQmyg?ePX*tO4j*A;ENAXH%&54~<Mqo>-~uv#IV2cH5G>+?
z;TRBT?7ng$;;XD%kDJ9k%Mj;W*utB>t|0oG3q=(X`~)dT@2T(Z?s;w7hPDs*puoes
zvYeqw)i@t9Mb^ZA#>7`xAbh16MVDS;FFkg{se<4nrD(&c1KUB^Y$LiwnOV@`jk}P4
zQzcoj+1s1401eBLqywhw_WZXDsm~T1j2;)xpK7mHs+|jMKdrtMtWARoCML*jFO@sE
zDL3A&bU0fc(|ATNi{sDNKXDlMR>AcWguy+T5Du8GXOUuC9#xx6j4w4$EnmB<U%x}%
zCSicQ85Im?(lovG6FZZ$tN)(Ipq{63LQk4qg4=m=oh9V<OYp=CfJG?x&^C=10BB6`
z<J8`ZaV+1!N^h~g&~+?alO_HcTD8G93*Xy@zM#8cDdfMRO7OrJM+lGTZyY(JKDhcm
z`1_j_IPx-N5qXtc{G%wv@S)fvb3xc${GQ!&vB%YQ;rn7Ie$h^CC0!I&X-e@~?}PE=
zk04ce`B$h6aI~Khlm6$IKsWlT_wi{seYLf<X`epzWYR?BvBTOC&6LT>$z^SAOJ8!Y
zlj6>OebsjSP%7Mn4fm}hisBg8<R&ru<$aCM^WJltx>1_A6lX0S8>+}<cj5*DPnweX
zT%7)ElNL2gf{=TGrmvt>A!H{DCz7{`+)dM>5$u)AQUYtzH1x*VA=)C2tSisf4n7Op
zg~@%^$O}bCXsQ4UQ%~gDmLQ1&7Pe`mef`~U)07k=6*FaQKBIm8Fdfk!#a4tFy4;}u
zafLxj8{39n6x!~XfGqq!UI3=OQ=Ta4w>qQT=>{I$pmKV1Z#gM*_RM#SsR;}A1ueD)
z|N8&`_hDR8{W%P^uHfL{Chtoofa(1rT1H8|rS)ABJeTxFZZ0K|(GOSJiR0z^SV|xV
z$1;k=qG<4%WxJ{@p+@e?n_B$E&Mq`z`cv0vgs=DAjAi;ZS0kJ<Q_vpLSqUca?`Tag
z)V?cU!>SM&Zc=u(*M4MSZZMPdhVNEvhDm`sJ#vv+-^)kK`CiNE5XrKnd~*_Ia(N$L
z_U5zKg^1XRH#ua5F=~AEm7S-29yBnc;vnI)0<XVYezImmwf}$$ocalK657KQ2{|tF
zh;<${%b3OO7V)IbBc!sn+8LlpUuM|QiZwNHM+|Iy#M5{4DM*-pb^dxP_>uD}?O6B!
z3XT6dnywaH?Rq&y=hWd{hR3Um3&J~;;`6H={QPr=xtt9rdwbSj2M5)DckYw<Y1`x5
z4wbo;NnJv?92*3a>=LI>%VMD`5HCb&^o-Pfa1di;;g%ay^+(&cs2K7Zupp9aEU2As
zHVQmjb&|lmDx}~B<be^rt}aW?=7za3w9OZCZ}=T=cXgZOgWfprE<KJKsXKiG_)ua#
zF?N@^BlrqtYx>$5BQ-1r@@gsEnhUzV0C%BSpKr0nRpQE@A?2Y*?StdQnti|rt|~N}
z-#P2jsl~0x?Uf_Fi<OI28tOigI4sREGx5hFgYbnJgg6KupRj##{Gw@N@gD-@9jK}N
zm)P2KhHON5xTKU6D*Q+je}6KE#zho1aNJ9qQBGD`2D0#8lUh4BxB55QyD(2Or`VPz
zkTy9y=NnBAXFiCpS_o-E!8lrWLD(TUK0e_TDP5fM3OBQ8dziAzHExw!h5dWddguTV
zhSI39@dwb;YBTYv*V4`Yd8;Y|@XycrC_F{R_rp~ue3`K2l9cS$+(Jf+--UcOt9e<y
zMPj)z12D*XVO#8~L_ec;zja1hn_^+!DxD6uy!OCa!iqgqI3(+^aEwi=ICaL?BqZPX
zZp@ruZ$+En`5YEWPLUV^adajehsw-L2^gX=`WO6|$zuFpx8z^H#D;a1NSi`Cx3{+$
zSXlaMC&X;~jOmIuFU+}YLd<?Ds#09t`pUd&*m-NLDZU{))7_GKhl>K4I4wmoTq4Xs
zMl#byi9o8x!AjTS%rfk{DUcc)OlZtw>@?75dlGYl$Vzs3t5a^dZq}1x(m|GuBE?~;
z{4MbZm&UU1P_O2+2q|w@cw1Qab>Z2mp*f|VxOWOheSkth`N|K<?&BZc5$}p3SZb_*
z9OVexUVj^LBVSc~h-4;N%^0xA73itv+tGgMGiSWKGt@l40|O95gh$|6s-0k@H1R9)
zsyHTznggah@&}(A!yAQ7BRlgCILW+up3B~n{AK?qf&S|><kzZk{#+GUXnZdTA+Ly#
z5OjUr#O!tV7gKMrt5B$k42kQ|@Gz%ZpQ3KDG^&U@yh3iie=%u>>(XA9vayR8t;*b@
zVi|ootz8}jvWWPFWHs*g=&du)wznb)L#SzrkL+i*@wv{}oR4!yJu$yPc9m?>-#jqa
zhi&RGqBdqmjs`NCzUEm=C)Xhw&=sM#*ihq0WLI`cp`;?)I)Awk-U9`gCT=;L(e0?$
z?s*JrQ$^F~<y*7NM<=KveUo@+Y}yv>ayait*<|Z6(oL3%vf)Ler%c7W6dk%pXxE`%
z{n@GKT`M|YvEI+JMmfz7ReKWus3w07Bbx%g6dzK~H$FC&3wR^!j%W22Dx^kfD*}nN
zFGWs~vbm{=FoVw?Anvz)EGjC}n+4Che<(vFBM2m^PMfFeIf;e{c=ve-SicKd?^7o{
zNvD=L`vF1ppW=+p`MzW9T0zW{$01S8(xBESR{BfmkuLD_Ty)Vlln(0nUe>IKw4BKG
zMgqO+a;hLDi%=)|`J3S3oXGgD!-t<std?>GyUxygG#z`7q^A3*h>2(5P|=8~JqrK1
zM~@q&yQheU{(zX&lFo31ZFb5DJ!__4byMT7p@J!76H`(Frq??NRbCGfMY!5c7ug|G
zyA&(;g7}s|V)b~e$AJ=HdsEW#qt*ZK68o<RQ9*_qobbQm9##x#G&gQ5FlW%!$(^&J
ziths6bv(UWeIg@ZH{=;Uxc3(a6ppHI-<lmVq<xN28|3EZrkhT~8LZ1^U}WT!;A}J#
z1$ESj9;oBPL1B`Tk|@uE85kH;WAM}PVpt&~^zcqzT}U}nFJj-!I{__vM&c%y_@2z<
zL0=|=M<Rr0$9%<!B{U|z;EiFUPKd>?p;>n_MPq#v+D;2jX49O9O0v~e`1cECc}p*d
zpl43iw$FC;yyHRri5t!ilk^Wq;e*W^Z$H~5JNGL*ZIKL~r_CHo%xAC%Ip=GuwFPaw
zqSfEn)r)`I%78yH9_axC|F&uYsPYL>w7LW~;G4*?mZhJj%}-N2!oranOcvRb+SxoG
zbX>_#3o|1NE8GLL+ak`5&j~1~#YWI;-*PE_<G{*TM7C1<k@t!v2gl|D;aHNuNC94v
zY=pSpS3SHzS+^$g*<JRWiLZR*aA3VTHr#WQ)0R)G!iNF%P9xbJRtmSv;-aGV6%U?|
zbE|3#Kc2iFatt2)tZe5Ve?N_j?%hSpe|(*Gf4rOcJ7u6j?V#jR*9X3B$Li^vpPYB@
zlBG0;W(SGsh?Y?L&p1SVbG+P2AT2HZXWS+zFB1sp0~}j&8yg8kMMY&acKR{%A&d?-
zYVfg%&k6-n8QR~yCNM0G+f?JJl&_RbV1sv~g1@76UjCx3s-K=FdwwJ0En_CY+<?0Y
z<MFLop@T3K8Ax|T4Cis$E_5Nz7yDOd2~>RrIUd?|#doMRNt@qEy3+e@sOamw;0uEF
zE;oIn*uu)lrSrgr23ar=1kN9v<+~k1Jq=Z;<K<0Rgrd-UPx5^~5Io;q=_`w<u5ZpL
z^nVSLXX6Nh<u|%%i+r?SdA5{+)s;<s8CT#AW6q&oaK(f$%NEF^%SiDJAAa{XMIb-Y
z<^A`r@n0d0Ewh#@wGkKycX554!B7Oe$cN?Faa*KT|8mM$npf3nor9Aza3qy|6Yvos
zBq8bB+M;1%X1+YW4!%rfYac*NIcNbx19Zs;u1j1;aW5Tk0;Qk&eT9NGVN{Q;#JD$$
zJE&&r_g+sd{-PxPv5^Qjuia2q%h7T_Zq$5tyycr~YH4W>r!YopZ;`rrTCWu@sI<FT
z6%z|h$#{_aCU`KBvkLhow<38MSju)K7R^A2rw{t_DzI`WqN6S)O+|X_s(52l&SQ|1
zS3J<HoqXMM75NJa@0#&#set|^eo1e}XakF6WIwCxV(bn|trv}HQy$KEg3!DqNKJ%4
z;`_V+sC<{E#S{Ng>#14$t%%t#>*FulPC9C=f6a_ZUAVHwKd3nMzQtL|Af2lfpPjjE
z3j4Cd>xc2-{_&8Z;v`SB;HjadTeTI<sz4;egDZ~c5p)R0SY0x!xWR9gLRtK@+1*_2
zrB4`1$+U^xA4J7ESgked_f_Ph>8hk(K}WM$R?Q9~2^ESXW9(Y<0MY%gB}~Ow6%%Wh
z=O;NfVT0Q|=OoyS-ntDqSglfNBVFo@IQ{He0a`1<Q39E}j7jDYeolO1ne$UYj0rMX
zk>swSLkgm^#$1--ZxQ`SkK1o9Q>3iJq$7>n^riTObxOsj{WEAv&3c49W=v2il+7M*
zD&r12g0{vY)5LFy^R-%kUCVO`dyQsYddXSZzH?iS`P&czM|--4s9A13^#pat0lZKM
ziHTcj31^5C<9j{up~IQuH0~EuYiWyBDeuI~g(3TQgRj>zWRFc*ML>SP?W%#71@8rT
z!TsXyij)m;-CG|(IhPYJB~Ow_R!`)loGYxRDuP}YMkcImT0@S{4G}%Z*Kdp3D3Fog
zD{zY9O50gtJv~_M#wQ@Gb$VVSg*>eAeitQ(W$I*(2n({O>k+7rlcG_Db}x{9P-*O?
zcL&?!?s9^Tl3{`@^Rhr;WmgPpU8W6>+Z;~b;ZQS`5s6uL`kA>Ae#EiZq9r_M-cnT)
zezv}R&G#afDiKV+6;Ij6PTt+KBmfU`J}g<Ou48U^8+*gMUO}w(&-n~Enh4Y~T^dV7
zCpS0Vfx$uN{b|}w{?WM$nvRS$g~ZF99m`EMeLX$fyqJ@QC2EJxV`Ws|=&lDEwp13U
z&vGH0)wydm;wPVEp3LC~k@F&T$SpSXl1)V^C8|>}<&7CP>N)5?o*b?OtwUbk-+$od
zAeK~kLTL%3udY{Tq1qbg`kAySn~Y~Nis(VxjW!vSC({;jolNovq#DQahisaPPYH2;
zWR|qzq~gPt6%Gg|?MGJ2TKp&_#P;U&y=qP)o?$VzGtF!f^!g{%gf_2b1brgV!z2;V
zd{GAke>YB*!ZVV+n0dnOunNGqp6!j)dof`;KMP%KXDXce4>M~$-JdZHo;^P--5@?4
ze{pdUww-E}S5YxeQ=Xq3f>$m3I{kbiOBfm2KiW4c<zAO#9Hv<@v9|%Jq!Yh-loNkl
zd<$<Y{joaXf@wu(jn}YWFb|)6Kchc7o>2MnjZ`%Y2abY?V_&#Lbv8o+B?~^jE*}=0
zLJj7vNJ3wQM98`c$q6XuA|CYvM$~5MLDmqux0=q--tr|g7@CzJ$G(P@J82XIbz*gC
z^NP3`ndEbSflzC(m$Bb-n~QC}1Q|mT-b#x!m7Rj)VDfTtAUYrR0-H6H_IrQVir~zf
z&q0`&-K7ok1i{Y9DHePXAUopEOp8s<L)XfdTC7DWr^boY+Q=S0FKYZPUaI^NHCaJ#
z5y@V@?4F!_(PmhQ<Ci{EQBbh;r};{k;B1d9E-F$y6Y|F8-naoCA#TS>6BH+k&MPW<
z4%jzU08|}kuZK_NdYS-n#uznfh4v2eyNX!vy#2<JJ!)-76@wgebiL739Ig}hDP0Qu
z<ZOVI%?yhaeO3;yA*4rod8sqP=BG|G)fb-e9?%8_V~-n3p3Kwu`yC4rji5V1`VLkd
zBgcE(A=0brRWmm@vH&W;;RzqG=Z#(cXm~NP@`8L*jRt=sf_69RsBd(X1^(*A`|0}A
zZ=Iovy4f35m9a>nRe7p*=i%!<$AeYP{V~)`IQ^T6a&?(fbbNtb#804#u!l(5W)|jT
zot&7Na;ATktN)djZI%Bd<4}DWxIt4+GxqKXQ{{}zOrE?-+6$LaITIO7*OzF6;7}_|
zO9$Stss0Q89WLFZu0)BCIQ`rH1cu2WZUMA7{l)#IH%(Gtqa@hYjmQdaRunl0-RniY
zz0e68ehJRS;<JT;J&WvEca7Aw*co)fBt-WdgZ-`_D<&lN9gyjJj$aCBeF&cIN4P19
z3|pT+uT~WVa%+MvsA6suU=sbp)})<LrTJFQ_7^-ASUIvhoZ(VjF;ozt3X<~I&Q%!0
zA0${9`O+CS-EwWQe$pO5j@UB_+|P|3^QFN2)C+Eywd4=1B7Wrwd&e(G;!7@ZO6Ljz
zT;{K}T>j5-u+k9XDMm&#HwyyOZO^t#AkKgXGuW)m6m@9U2RZ<ZdUWYoyh?-eYi}sJ
z7-py{aUI|Ev;@<_eRrGaI;vYohtQFw$80t(zmiYM9c^0me90~Y7Du%o2@~R4`$3<A
z4d5FvUo&3a@PR3Qj<8s^hVGNgwF&GK3F+52@v?#34FanKoV_s{2=iR+2uPy+C=p{)
z6CaqvcDy+<(z-R?V;EiT3}29(X5QBv8SrfJQZ~oEShd5+l>V^Oz{0*2elSz$+H`}J
zVea0#`Ydk-WRfZ2@&)<4_z7;fA$C3XLF@F`8#5-4XrAOAx?a3>b^Emb>$5HM-$Uf!
z^`G_z5F>-ZVB_oKWf_u&L)sLr56uFj`(Q3YwNXxVX^Wp~ldA&k>=TNuuB6;*PYi*W
za>mUU$-51kN8dhcE2!e@fuVzzAWx$ZGqNK_HJTjOt4PmA-*U|PFDxYqZYSS1T{fJ|
zSiNP7PsJnUL>6ZeQfC55@%o1_Z(f|r`Bv7SQm>goT2i|7h{}41-Nbv=OZcaF7s3+#
zayGtq;lP+Wg5I{<2po}l8j#(P!bSBz?=KYyQ@UMLsu8x;v(>bxD@rt5*tzPy8^tz3
z-=RK-89}zCUUE4jo60^ZmoXFpXd%6mObIz-Bd=|~gWTU>pjRn4+R1Vxv4cwREgDQn
zfF+u51bGNCE0Z;6ch4m{Iy$+zn}H^(og92r>gc(^sf$h*q6!o)62g$3ojHhnCX_yI
z%oIPs2jgH%332zY&Y7&?L}}V8dS@mrbq}$1%4^5g(rpDi`n3<~f2w5?^d0}K83du*
zqPDTUaTy#kr3eDR!GvX`_yY!sMLBLdf-p{s`2Jp31c7}4Xhvd!s&ZT8ZbI#;farJE
zF@e>_Fw|quoM4G+b`+0IN}Pz|b!)*;^Xqp7zbh&IVJLQF;!7D<y*e$!Qe=)%*|WO;
zVPNy1Ub_LFxObPcY@<c+qayLp+Z(r;nVGS6bR4X=o#Wu+3j<sp&3L;bjDKUhR@u>)
zeKC#^EC)t`KU44iOtCXCFC_Mj@1DO@F|}O~zP_$Hv2k>6bm@Fpwr}?-cWtz2p73D}
zX#6d*$Kx%*?M(5I`Esf~`_6l^#bWbJhCeY3xj&~#WR1(P!E6{wA6mqTuafV<2B}R1
zpWu&jQ9?wnA_SU$K6`g1UamX;L>5a=9A9aWQFyL@780yN73S4In2|Bq_r2^w2LrG9
zwOuI_=eZY?j(vcrorRLO@IvRzF}QLAq|rpAy8cy`rjpP`mgK>;n3FUIr&?QTGo7t~
zU^=33caqN^@BAx+d=Q?~P)nvV%nRn*JzGInV=zmJg4Rz)p1GZ2f=xh`n8~l!w_hz*
z;LUDo;xJ9q?7EfOLl;!9Rz^<H6@K&)vq{Wxe)<?Pt8!2FBf$W1{<`h>8-R$+887_!
zedxeiS)9HYyz6|`dHKQ6{q1n}EVo>EXTRss;CZLvla<P9ZQ=h6ZZE9|U7t-n_=5Bl
zu3mf|7&!44OD0DPy;#Z-HE`7ZX6t_?9&pY%=`K1_GR`s!Cm)}NY(oR$+>D9AqSl3(
zCePwz@H;+dWz=rMLfTHGSJ}9MZSHJ@5j3wm%`2`pI+7C+5t02&y;1HoJNCKl$6aq(
zc2Mqcte({y7MiUQu{q~$wjLIPPg%mZlybIt7Hz`+C@o3yG$|GxK$3<)le;V~{Wc-O
zj;t~X8I~YL>NtK$nC?*TVsNEq*omLIySs*r++gbBjn8V9NSI>oZlr(Ew{wPq#iK#N
zAl4sSn)YR*5FyI6a`9NYqY*{gOWK-gIa-T3AY^CCH9-It64lvLnETdLlr!YJ1SkWo
zAp^KlFrJ1;11Y~pO<-GV19j`GsClPQx|q2UpkIs5cW3G{ee;7o4wSPYHS!WC%z`ol
z;dl($guoW<KaDB_)KyIJ^9ProTD6AFLBMEB$CT#5tEa20sF6quQc+fxU(<e$hlgj}
z_f|`bphCYH9y-j+%NsWE{d<y5&In)v`4aBhLE@w_ca!h=^XH>fZKVT4mMc1&?gAV?
zElo{(FzQ;?vIwB_K)-LScO2FA*>h~W%&kc*pSM{Andy3DjuLscTX*HXc<OeCCX;-C
z9<kd>qV&g~Iyzl8VeL50i<|CLjD~%zX6JiAN|`I#u+C91VXJ>u*&9|8cW1KQLXSTA
zyo^=aJA7%ag!x;qYc#LGB5%k!e~VK~Ju)SX7R!4{pvneTG`CsNAy`RkMKNLjnMxJ2
zcrkFyYf&v(FI>ck@~kbCFztv7c)QgOquTs?M6WxJtt6S?i68<4`a7!lnBHBqG#Zam
z+nEG;mR+3;Ppa1U?o^4&L@Ev}zF`+PaVY)t(lm4i)$P{ahAd1HrHjcGg@3~iU!j%}
z2fl;!fyG|Z`kwD7MMXuW4H-l6!IF%V>O4m$Cxe6J0d|Kk9xqg$zDG2GA&gCYyu5)k
z3=P>rZfJlpOD_N+MX7Lx{y=72VyFJ}=WXZo$%A&E>kXhY=A+`<g*lfgq_VB&$BJ<U
z@gW&Qn-&`#`A6&*YWi7hj}i|~Ik6nhfyc0Ug81@3>ogrQSGEO}>opQpr{VNQaTUFK
zxZTa!EUoO|ivO+|auLbi5dpZp5XCQTC-iCQ*2H`yQ3mN?wds<*Ku4qZUla^p{h+k@
zQx2m%U+rE$VsdvooLBJ6gie&xT*StpYZ}XN)_{Yltp)1Jaw}5#L;l_&X%9O-*SxM~
z1hhv49Qq)m=r2;=)~;ptlG2fYOGKPitXVbvEzpnWd6r)xgUbE!j4pj60FXB{gWJf|
zu#BF@?TaTdLB#SKENJky92-ql?cPg()al^p$y@0emzdd$<nbVeN|JJJAd`?FFXilA
zM*tx%Ht%4e)+9JC4>!3E|KV-Qo9RaS*VgDj%J>}>=RwcVPheyR6A<Lr*5bZ<_wKU=
z;t@4r=;GX5`1$Tc#?U%o?1`&pduzp60{|00SrlI1o^6i|xCD_AW2;*qP0r4Saa)ZO
z2AI)xm6n(D&f+g&?eg>U6Gx)U+)j@N%@QszFU#~j0*{GDRVjAQGl3z1Nlf&qsECN&
z&wdoE1}nfd*2w?15cVveP$@obQPf$2>?Gwum1ecUK4XC$2?p$eKaHv1SZ;AO+ApYU
z-_5|@D!=-`3GHxzP_0m+9_Vx7Gn?M$E83ApLs(yFh*$<%o5EGTL#*x`vP$v$_SNoY
zXUctJa)*h;;jsTgAH12!Z7S@H`$PH`uzN<hCu`l;QqcC-$IMfK1vQU#ZL&~z41>m)
zC1dEZUwgy==xt^rE<e4)+Rk^kmyJV{bcXXe6kC`hw+z%ZoJc!SQh4+)QZ5N0Z7nW(
z4DOl^p{Xl_ruI0U-Wnkr{xo|1-a(-fXFFEL*b%B_(tm41K7!_7{MU4IYEI+y<_!c=
zB<g!p1sN?w`8K2{v#I{<@nS|Lx|>UH#D+(=$ojqXZc0iD5nM7nOQO?M%7*_HM#{W=
zB(luObWhL*4|QgGUpL6qCa{~vOEFGX?Ye%>kell4N2!+c)({SEx4xEE_`tw`-oQx|
zhUFF~(h8}tdzza-P7ll~$Ip@~j4|e|cF{W|+(A-N@9&3qKeUW^G3NQ8!@xW2kOky^
zS7@JRJD=2qEiD-;oPtzcUNG^#IEz{@YWk^bx|bTz=+Ktj9DabOr{96C9x(xf<(pTu
z=Zq{P0j#lU&*B#meGT5gbu?DuOnHKg^lb)*WBikL!>d~x!0${Ky2QMf$S5PH`XZ50
zjcU^nJ-DtQg?$wpR#nAYI#E!57%ZFmChyKqpY(xbnR_lS-6g`nNf*&fJS^Xju6enk
z=V4yUoe-<KaLql9=EPlRxO>QA%Q8*R!TtM5a%v5p4A=-KH*FS|zt3A@N76T8IeG$U
z<Xw^JK<Vst|EFDIrv2Q>swpp@`u1O=sHTK*GkjITwj--#ZVDAgIbNDhDpmRRjDooF
zNNno44xzN-gekO7@s}m50`YUKS(irlQ&x7**L`2i9Ae}9SfW6dSqzi91d57D`~m{j
zQoC8g9-nBu!SRg0xwz8!2<o6~T;Nh2_6o`M)KCcyY4Zw6A53Md3r^}No8s;-=0EK@
z)ITk5i46tbt=3w_;$$$gU0+=h5o1B;HJ3-RE>vb;XtP!RfRy*;{0N^)IvDWDnz<3z
zr89{vbdq7gd<^#_nvmmxRZxjz;oYfi;W{4C%8xY0^RAJZNg^2X8!o8D?)j3W_Pd+<
zejq9S=>yx}c5iF8#r;O}(~}xsfu+dOuAS`^Z&S73)|zQ47|;_WE*+0{?KbiG17-<J
zd)e=0g%Z2;eeso%JMr!4Kwhqo?$xu}kG$0&3tu&curjNJg(+`|aR_W=Lrvs+pwuFg
z`A)tZ=7+A<CsF~0Uj&@rZZk#zd|7_28|Cz;tODRQv1<EdWwokTZuxZJh#nah^Do>a
zFr2pPe(njuK9Yb2?7>(zZIy<PRhRi0MKJ@Jt~~#Xe0SPZcirbTAGC@nqN1+R9&2N?
z4*i(;=IcnR9U*YgzKQSEp-!zRTJ!Dg?ZEHu7Hw0~Ci2;6D!wCDfg-{&6l)oT8Lr^F
zqDh7B)N=-qE777Fu(zNJ5zM;W5K@e?st=vf322DL`H|^p@MS6^U6TY{ql3*R8}BKK
zc5QRyA=*&6sILbPe3Gg@{s+pr&7?1;#1)EtoXqgB6K_jcYc8R`dNPl5E_*T(PLX)O
z0rbc2><wGwUO_k|g?O9GgW+MSxmzXQyUqMs&Lwd5%`SZ<6~&vwj>b+@u{Ux}poI&Q
z66Z>{a{tDGYu%U`M*Nx5G)c)vO>n4u{0TdvXjJ%)Hzy7;@0(*gQ&Ak1!MITxHL?;;
z3FnH&XZxW^Z#)N4Hk0vid~SPxu;MfSFx{mdK0E{&WH$MeeC^JVGZYUD%{`!7$Qr}_
zNL?v~w2>V6@KarLRd2I$>^r}TC|v1kdB(AdUvPb3BZ{`)MD^wGSw+8iUc|bm+M?3V
zS=9q>$LLPJx2qzTh-JVx{`X&6=d4P^C$p1TJc%a(s7(?dTGUXXlYDj3%*`j9x(lM6
zSOS?9b#T!u#n%n(?aL@F;53_uE*r1~V^<CA8VapKH2$fn-{jOS^{eCVxYe><875t1
zJ<<c<GM1uEM$jIT6aus*Fr*pFp0UXuIx#B*E<e!^pJ~EEPtAWe#^-9l)~df|Da_#Q
z`Z*LS{E{j5?BoAO*IP$L8MXbw(kb1|FmyLacY{bsw}5nmbP7Y4gp_~+(%sDrA#D)S
z0}|3bNS)i~ocEmXe6Q!vVX<bdd(XZ1zOL(6#&sfgn|?hYvOXiK{-Zd0huBiYkIC1;
z%S@u$&_Fo;ebd=!9|HP?@!tLwfp~4wMns<0y<JGH`uQMYb(Q4;S7&|Rq1IX!1lh;-
zn$g#d=Kd7}N9umD;d8ia>>D)0{Z&3P(lf+@xYC=NKx1m-%Zag?+clE*MQB{%qH~U#
zHUo2sTbOoDLpA1`0E<?DJTuOALRu4??S&@<+k0DOEt8+d(a!On;C{=U`8@*j>ny>x
z&LdfF2NuHeM#pNJ^Bs&nd#m@%-t{B%%ODz;k0OqLc_0BE$ae>(MPbf&>!!29h5E>b
zMW&mqEwm=?Kq)|%7#_M!pE&=m_2TTo^5M^G=knH_Q(~hARZaePDEO-JT{Mof^}hRt
zOqhBfKgsZw`m)b_jV%7~p<i+LD{&5CCy6!Xsm4ZDVgE9jD?QtXuTv57r){J>)0n^X
z%C#wRfU5|o<0y3lI#e}hvwS}w#^q15F3l|vg}1hOT*dQ5iQ;7+LL7YX*1T!wqCoso
znTup@MJ0meyuA5ShaR^srOaNumfO}A-eJ|mO5SI$8vg8Bw^r>-KSQRAeabjyHovR7
z{_8nSMll*qK{n>45xOPb@K#Qmv=;Q#C4!ilt|N^xi)8kqBz1T*CB~3v?(}lksZc5i
zzSGLJE~}?Tu>-PBOxD`eH05;y&97_DkBf1MJjMDZdL=Q1w66s5h2JFY=odP_dDv*a
zCEcglsu$nz3|wzO({-vFDqPoKWBaUl>>?3pd$=3lTH<=psphnk{wr8phK8NBQa*2M
z7$)guPPo;9lk{<%Z8I|fw~0$6Z1GL1FHr;~h{S=cTXp9LQ^W0u5oYGV4}Y}WG-*4Y
zU@nY~xcR5k47&OWXzn}$LYrCM?bUX!7ol3?oi~z?rfZ(Te_}=k)srKtQ7%bDbLJWE
zrW}yXE!-U+Wncw8)vxak&d;azb;zV^hMi3gA77;w!m|&;I8UPIBM!p27Zt+q>*gO9
zzpeSVX70SPxIOK9l&gI_UQX@}JHtF_(g{ged;FdiaI_=Dy(kwRGC3_hjpXl?xi4o0
z1M%}J-za3ZV%_n}Pg`S`kvJ8FTp0`2badRzVI{0~191jI=j@o@va_#nfaYo2=4v8W
zkYzAu-1TSk7~*kN2h5TQn1W_VCXdsJdGsT2&oPJ+(2~{z&bDIXWRKClc2;a-B=39G
z&voeOZ(r588jl<AdoD`Id<=GfT8$HX$+nDvPmzFh?d@PbXWQ2~*}}*Wo1cl>4I(?f
zN^p0E0HG$`h@qV2?i`&>$79?w2ZtF`tC3>KJWOvt@xos@BF@}%j8p|(z60%IN{_Xq
zNTG8p+8xDU-4#F$#7C*Ip1}zWp9Ef)#E;+O1qi-UW)Rs)ZTWeM-8yvNaMFGEA%+m9
zyz!3o5CnI_IvBW`k-LCB^YlEUh|EB`P^>HUFQdhRaQOX%iiS!@1?w~z>4NK}f(c9q
zyME<&FyxH^H1@pnDNqzFFr-FX!#9RzDYw9Vz~JkXrCiJYIe$tV!Hl@jlQjn82Xr{b
z1Ib<^iyd<MZidBhS)u>p>byu{k9)OkxJ@xLg#&NWfpf=?$8Ozf=37jo`{{iz?nRaG
zdv~;AJInnR7`UI+gnPgU0^r5_%YE<n9}kKzE?P71b$VhWG5|<9{1dA*c8$9dh#z11
z0rOKI51OS#<_t!TbRP+1e}7*KE~ecEdha;iUtz7>PD)1ho|j+w$JZB;<DRrXH9dZ2
zahpyAnF!V|*KCm31qBAmGQPhR^Vub^2;5_Cl2$S~8lm#ei&o{&v#kwsu+9r$EkqW`
z-jTj}zh7@eNHsp+G*{e$I&U4)p~K_sOO?IRDps~W5z^$=Txpatc>kiFmy=U4Zzr@x
z@(pUf*F+r76VNLWeKJ<UgZu$Ye+WX9UG1BI-^IkMlO=2FhepP@Hs?XM(=I+HLg>(D
z2IkH-W3yes*;Y&N=KMlD9uEh%;7;Si9))(ZPbrY4<Z#RK+`=%@{0H+%XTECL{Eq#M
zm-^gI3?Zsy_SxMZKHX>%$e!>7s&B_0A4i5kfYdz?Iu!6y>)#Pu^hd2Bw#@Z5n_(aO
zb6``qNs3dHsPmIE^k4w{yYkiG;Ym)MjfuhNuLS*@<gTS{3d=-}R*kPRU6PP=H;E+Z
zFDBLI(MfIy$5r7iX@1kahcNBiDmUH(_{)4X9%;hH{D@wQyTUDe#Z`u_NyEU^{TmsH
zWZZo!NQh2E_|6lH3`by8^mzW~YdpiN$8!_?TN#NzMSTW{yhI&>vun&S6r*{xMLC8p
z)3Jvg;^=O1#c`GKXZ&5C?Ns(_rp0A$zw=cehiXKP;$bf?sfS)I9^W06*FssZ#I^cv
zn>KT-EYJPv!yaYgr|;t5X;_3edUf*^E1@1+_y7qZqgL3%nm>neNPlX1)OQChy51oL
zIczlErEmICS_k*B*~BxxtTp48hLS+AcDE<<(1|j(F9G13ew-v7fU6u_c({tJYJ<vm
z$8lUD?eo~Kye0+%>$P2W3g80s8~6fq1>+3`Bo6JaM^Uu)uCYsSA-ua&d#u^~Uc(qx
zG`wYzrOIDptm|nkG$#RRL>sj)qSwE{4T7yf5xtAx_sm9IGOSV07v7?{H9Se()o$QW
zo;mJ1-q{&rZQ?hnFKwmab<ePK&k%Gxq#ekv31NefSZNqgdUZ>4t=a?%`Tly7x<gkO
z8^Gkm9iQJbDdSefQHLa6$cG)m>`1$mRP2cVb_bo0j(Xs7EJ0PwhUk@Kit-X&CS<K%
ztX|=}eRR*wbzQthbxg1gHzBTuyae6l*_P6hvDJE~B6s=v>DU~0JRmRyg~~<Ty7Ove
zulwW0$cM)6`O99>qISRCXu$?J9!MsQu}|vmt64__dR$k;M(L0jS6)2KeRvLCW9UYo
z0fvf*rSzCSrQ_>c@vc!j73a@I&r6NQfz8cuz15b!6FhEj*D-gs)uw4$PXuH=(2wk!
z8-j_>;Tf!;pYq-3QxcBO&VsG@Bo35|8oKZN1t}*1ZGv-2ytqA>AAh^cy!-43W2cFW
z-0;|ikI^Hf5SJa*-_MWAdaLJpbx4Ii<e~+}4*xnAiFIx?Jv^*TY!2(H>CV}v6|Le4
zmdrqbk+vrJuJ_~9gn4+s3B_a&HN7mAo$y_-P<G|#cyBqijIOgl;#$2GbcejtSS=dX
z@0qu6FggmiOPY7K>|D8I?oa8qjBX_dMvUhI7ja^DeHL`EzT-l<(_rkrqr%~i&tean
zB@jzY=9%40%z!JIs+J35<25S#ojJ6ce2J|{vyvFgMT?ZxS+)FKy1|7cH&jU;m%6z1
znJlO1?gW7b-$G+vle>I9hUVerX_Jtv$yxB>t7uQ#4IZH_cLgEwD4Zx(kLKGDn&Zcy
z=6Gh<x>>m*9xI=;D93FUwH;9sjaRH^1zb2<63(gVsPQXL67Xdv%sh^B<;}Z<<xoI?
znJ%smW5J*2Z&AC0)*_k$V;86r%DY>nh(83YWHz>xa#5OwxUQ(R4$ob14WwR9Hvd_n
za(<M#kB$B@(!FZ_@LpGG?zX&0{;GB6_vWvnH_j$kFUAV9OhYF5$Imv`^X82ghnT5N
zI=hcs9-E3s`c{>z9<#%?Z{AbA6F%N|-t8)fg#Q>h@ZLY~TRk*QQ=L#hVX#v?X?0x!
zEQpZa4FMM2=olE2w5}RPJ)WEB@$vDRLUqE)il8>Sg!L=KKd<b$N7!-!V{K}}Z1NGq
zOx}Iiy+CI!hzDkh{av#{h4DQyUugnm%mk*DGPk#}iNnlL+W7P3Z8VW<CC1!C7XUf{
z1`LyT0I2j$n`OQ9Wc=pBu#9gi0+|oC?>t{?z1ADzLN^*7DXiq>R&?9&(}v7wNM;;A
z>+<IamElX#OKw!I`vj~*BaxUDM0V1f1ro0f)khj_d}V$ix}jUIYV8<uzM>+zkNPDW
z9ef6w-23wV^7~|I0p7-_)1q_h`Ek%mSE*eJ3Ro<;i7pYI^-I^i601I*7R0u4cGzlm
z-@|q~XAy|M$BT=b=eRk+AQ=|`@PpI~6(ag5rr-6%v_h&J>7){znP_-Gg(b|2=t}9S
z$?~3x!)k=7RYOltx*`Qs+^&qNh4XrQ@Pim|b-v+%P|x>OiO!k}m7OYZ93QZAjYy7W
zEdpA5F!L;{d73GZ4J~<PuD#z1oAbXSN7@&gc?kP+d%yGtp#MnS+clQP_+K?#E>0)U
zIddK#ge8pjl$oCU-fa;hTBRRa-{^#nx1fQoE>BmcZssJJFE5A!XhOPe(sCBqKbj0W
z0`WV0Sn*{f*01kni!*KG>zhlgqPbzSm6aUdzkjE|w~ZerF{U&hKdfnf4qojEYJ=dl
z>ib|rm(iK>Qs`yeB$L@kdrya{hc|OltY1ugGSUF32Lk&8s<!d{B#FkN@gs)TV7{KL
zMZEaIU>*M465chzKe;9RBZ+MGLA!OD#eaZ=pEC1c)VuGW^^}{pTh(Df8C-~gP?`dl
z7OfE-G9*qsZ~tQaS4iYuJw)taEwK(TNf-sG<zX|<#vrPnc+aS3e0gi!xY_WPo$w{3
zvS#`a+WQv!?({p&gRMYJ>#FtLk&}d<0jag#8^*h%mWI#;w&z*!?`b=nLPNDSR!bLd
zBv)jN>)0QhJ7Gq;6I0Xiv`T%7rWoK76G@^^NW6wUQQSmHn$x!4)=b2GJY-Gp(mx5S
z1izy$QeokKI0cchE=_}^mSb;Dkv{&Z9Tmb@HZ3HSz{y_Fi!+F^{k29*9aB1|fK^S7
z)KhE3+o&__*Ya4D7-~{y;`CTYZoE?azc@b;2jG*LzUJ4{vI9BtyTDQ>@qLN*AxRdW
z0l~k1(hv)K=q5B{?-bBo0fNBZa4!B-pE(D`4L1JjQ5=W>@t1q&k+`r=dA(=;^CBl?
zo05?1V=xdGg}Ci|3?jbNu+F=DMeA7H(EZ%UUWhMdw^StsUi7e6G!fc?SDI)UbSO-$
zHF;mp=ecI;-t($er}({V3#b6_*M|Vpyeq?y3wby3*C8P?$m21qpd#X9!`SuoO({l>
zlQau#uQMBP6mOaGiTZ1j$8L7~AjRj~0$dzqYbhtccV3ci!@F*&W~C(GQUjQbuym9T
zkN*cY-ozm-!22)oPOgvr_m?-kMi5b_u*4nCRmE$432jxcuFW3$4?)|wWPiSTH4U=P
zjwHHgw`99;_J%%~hWhZ()m>TfNJ>~llva>I8oA>_{~Xr?;3=7x<aF<~`+9f%(<7~0
z=HCc$G0=~yV@Y$p|1~e|*OQk;d0v>F{N4V)#&in|sB{2>NW!tLe%U*FwkffdmV%;P
zn2#86cXrg0W6Ubqk0Oi5wIrt^YwNH0JLO!CKWT}!!yZW_Y32FAW+cc7-v6?@CKYs*
z19X#@>sNaU6TV_I{<#l>%}EuXKl96rmA<P9<a?G&Mnm$B-B7TY9%sMVd7g*(raOP~
zEM(7_8Mtk;^2yRv;n~pg1=iWYY0>~s7q)nB+jAlqox->owneTqk%qOygUuE{EoZgw
z%SL*0`&X!3WxsC31GHUO-Eb2(5;$oQzXQv`DPE;wtl?6=zr2!-7Ox7sKM4#+g4W29
zFibQND{}g%`!oEEA`*g!yLm^@lY?+os0x2kqP0~g#;anEt(#YG!XSjneXDN895#(o
zsW|?J+6z7Dae5`O83oz(eEi{dYfk~3*vh)n63<C(u44#IC3JCKwD|b{B?%xlB2LS(
z;YeT}ev$twn!ARAZB?K#3z`3r&GA-N&X@a;-0}55oVoL3RuWo_8Bk5uPQ}4Uf+$@z
z_p#%9&8FfpEwocF%SR_2ZJlX(!rFY>@#BXQjqJg~HSA(ZgM8PMuEvpPXCb@5D!xD-
zZy7%OfU`#KK6m_MdtG%N{4g$v;_;>Q?#c)Kal6x~FmdEmFZY^>@(Zjal7nBSK&Q^C
z<3+r4TmBDv8a>=2>b&8xDY*;$#C88xk%KyRB~J@X<_<ZrtU@uPt{(SjZf>G_7dA6L
z(N>i!Yg0Skvds*!Z($@VU8^Ix#g?{KwWOs5A&B+uwGW@ym272B&3;iU8;R^Vj}lXA
z$kx=HS@~vtXF4%#G1B${g>Kk3WY;GgDt5&UPa@0C8K<5jYDLLn;Gd3*y3%J+9&3$!
zO8!L%jF7;phNx;1W~yxh3~@JRuTq2)R(<}+uEkHy8KxZglN#!|N{>epyKHg|zHLeD
z78*9Zx{s2(&*mPCF-&Y6b&>a#!e<BY9?}|l=OZ3Fzb1R@@@i`>@kvR>Zf~%KvY+Ss
zQTLjX%72RcVlo#SZa&4G$Rgd|LA1808>{oneqmxFe?hys7$6BAA2<t0h=A_@=x;Q*
zU1mLvp-I+Wf_oaSa}M@?CD$da9NHI_8Mth~0XR%FFO~mz`tE{=#!yXE-s@(xq50nA
z%^I~+%Uz#E`y`Brl*YLVh-rvYr`U`prHV-_0s?~<E0a0dru2IdMq8bYRiE_+ubF~>
zvQYx4FeRH+HE+>P)c9tpYsjvS*W61Sxzn=FDdi^KM9B6d2n5gOiBjirKru_dVlIs>
zj`I70SI_3h=eyRPjc5N7IRaec@BimpG?$jYZ`98j<M(|5neDwF=)JnFRWRL4=-bHH
z$6$`Am*XgGR}x7|N;AxaBbJXw)jrvs%PW|e8rYwneu_cN4!Fj#rXwz1P$&Cd6c>Zn
z6e(YlMAyhJcDZh_=e1Ipn(gwU$GR%rKF{b=OJ5<SFpZB`<iVZ1+!!1UN{?=MahDht
zz6ebOw=Q872|noqcY8}nwiRNgk+Yx{>cSRozSuw;#sNyStE!)wQs*O;fS_%CM-PzT
z#?X{1GR{<>$ns9;+hH%wf~42xQSxzAIc~Rz%D(`keg)zH$F!W@p}vR9I;}ww<=MHp
zxsvvFgdxmPm>=M80N{T~Rn_={4$U*4QE*~VrbSN`sSCYb4~Fp-8AC`hDqU*$r}JT$
zjg6d7vy>8Cj^>n!8MJ6Q9zBpoAx&D`{)Qu>&n>rq92VMbP6_4wB^PaWrF09yST5%Y
z^+zT-@D8TyZtTIc)oT*_CYYGpphn}qC+9l$w7bb4heL^ND%p#()hM|kk#L5SxkRjw
zG4iF;s?se&IQYjc;nZ~y9~tfN;sY=E>>f8B<=uk885f>GZ!$pcabGhN9OS_o|Hc3!
z2|{_}Vd$cCu)xa~cCco{Xpn;VF`ahM;gr52?v(&uUw92l)MF~}FgT8O*s1bx4^>9B
zEpl=2G+mq}|Ec~@#1minFB>c*2FUlE{rc4=_$?)Wx9|R(`vUjOb@l_4BzfuQ&xuBo
z*j$=qTTVD)pt42-cxxFvGgRY`etG|#Wtbh5shE;0KoE#(2%RcX)@ngL&7trIN1}%B
z$dWdCo~o#uG;InSHH1jmSDADu>GjDE(6vRwgllaJSW+$0-CZ<JTB_ySC*4N|MNab-
zWhs7wS!M@b?EnKPwSXL;^`g?TPT!=W`cHbqDJiY_kaw2J44XNT37)e1Y`2ww^&urz
z?4b1ZDIO7GE|FM7*ACgx5l(KjU-F&TM|6`kx;+69fC7&z5|1-+80F;320A?-wuPJL
z6NQnnni(uvUndy3uUPY&{*d{<ScCuPgOb&cFK9|O%IJDv?N2WjnjG*~LvLM~FugYo
z^|?a=ff-R!4{B*V(AdZB&)01N@Ssv?Xs-c2EwE50;iz0a&K9Uvot;NqCswhzx(&Gq
z8!J43LK2e_<d8;?hPajz<SRKtK6zpML{6C`!KnO-7$5VVCxN=y$jXrX*M>w_+q%;=
zfi&R~q<G(a!GMr(A0jW5MLu|Fa=CZK6BOdbLP?A*J|~IC>qkPLN=>G#zxBPJJM#41
zz&A0`)c$@S`c78&xFSD^E3!utfCNrIZP3j)=*9TLhTfVy%qCD)5VY{^f@b+?P@0QG
z!c9}(ki2BPrVrWPo?3+b*eZHZg^?nho%prp3z0n9BQ1<1tBGrq|Hma+2dD_0<kE5=
zzwI3yfMk<sAPly&tZch>cHn}Zhm&(C0tI8{+qbBrBR4=X<!Ga!`4HH0Q2^WxoXoPu
zK+GB4H2Ez`_EX+>@qJa@<(PM&(_G5-#0WFg&Ak9BQI<_HefUVLB>o_kK{uxR(}%YJ
zE>y`5tCFDRdq%DB@-eQVpdxXrxRK9A5$+P~HK<6+yE1zs7QA5LBkRKKM=>jUFr~sJ
zm4KsQX(jNC(T~m7k-CQmav}-hxFx{Kq)H3W8xYwFI7@Aq9UkPdX`rv=p0;5W;gmlq
zH&TUKd8>avO;2f9en_Pwee*0=F|gSbl%Qfa7l}?(H{e;D_b=gXdB$J$9K0SCzilZg
zKc9w)!23_ZAaC~hP4MXCWX#AWQVo0h*=B)!(@=3rZ$>T|GvFhm@h8uCg(#7d{jM5w
z!1I*t3Ni`Rg>V%nmYx2vBH3{ua?I0S_f>OhE1!wQZm94W7ceo@>3_DP<b_P6)lE5j
zgZi+xE9r)pve{HcE7shBeM`l$o=I)LXmQrvTx7&0k$?{>P%EA>eS5TLsF>kRQAj)Z
zquAR^Gm!916)w}UIN)ff%qU2;7<@b$WGkm@hGWV=-<nHltH8LppVi8BUcmFll{l?^
z-01l(VQ;ju%KzCe|DSvQNdE8PQX0jM3uK8BQ%dslTf4A2@_IUKq}&0_)28LEt&fBm
z9du|m8jii*v>|n<nf+13Mm*8FY@r6x>i`=WBmNHIJCFOoM}=aafmmu)3l^q<;loA{
zD#DBhWDPm{0t6YnS?)Un&S^c)VnA?JEw=(!VSjGkef#&-g#Df&#AL3s$Cn#79rIks
zhe->0!*O!_X8BXv(1t&*G?f8QLj=vmR&TMA{T|V4h(|m^`LMDl9bDKEQUjw_EbZQl
zE5WbhwOrWp)4wPC5$CqkENP@c?M2XTe6T;Kc^l>Y890mzd`(%!^33pm1LObK)(DR!
zg5)M9tL<qQ0qF?<Dde=RzJ3N=cYb@{796*;vopK62muH?lzCXS#F(g=eZcbVtA@+h
zS*HIK-u`MhnEd_&4hC~NBBK}ZPk<D^@}cV^6HaQl(?0#QP`LB1V$!$zIho7Puk`!S
zScF8Eh_zQB-X!2tc$f>=dZ-OfMe?b8MJaDixP4Ek@&8%ib)Y8jtfOtT!n$oJs?&q1
zlVwSftv7P+lykS}C@YU_gdl0U#I_slop=iy&dXAP<tGk&$YHbg6HomZ7$Lv&{nR{I
zqqIQrw2g+!g@$UMptqsb7-PL;d>gbONv>}0WHd=X75{nDaQ;VtK081X4Fo9bK7StG
z+A4yJi_1U+`Ow__eZu=$!3SAMX=%5TxZB&?$!>s@RH@p1CjFK9U4JE3PMrFU-f#b6
z&9{>vik&yiz#j&8-j?iAr>Hg7<EEFm4Lb`gfX@p`*524j$JjPKm|qpHAn%xmb7?gy
zUUi3)*SXcHm_D*;tAe_!%ux^}3?l(#x2^gS4=@uhWR{i!MI(us)Om0y%oG6p$#&3F
zHph?f!6gX%9F3%n@BQV7irckf{$o;z^aCT_d?-1LlJ_f`l58j?O-7XJC{kXlcaR8|
zDg*xtE6o*h0BfMN%p)U>QcL~#I!8_HBrCjmkB{zGprUC{vF$%rXH***pPA@eLVIm3
zUf6|7STq0{Zrt6R@9yr(zI>St;V4VZ*Dg=`6g|HW0|1AUW$$V0=|ZXD%E-}<L^9wD
zf!g-Qhx;~eHVoJq;vNZ4^3%;j8FgWsM7lH@JnKe}G=AGb^?hRD<jkk$2C5)|`EnDT
zOG9??Kr?NjOtSS)t}Tw#xlmXZPcyJW*VAjV2H^QP=&-!pRM?jQ%BWArD1DsK1xkSA
z<6C&!epq}JlY?jFv0y&sf!v5<7r5#6DGz=@)-J-tW$N=lt?M+SsQz0Gl#!W2y5U44
z#;1WqaFI0VHalyp(yeaDmF-7!x{nD}>njgL%UaVzX)if?K1rSEhcUEx{^KC22mMEB
zS|dnFt7IA9e?dt{O+AzdCX7GAla>1~FMyFv<tJsSG`Q$m(Vhkdq<#kr)+LEGm%f06
zx4)Fp3Z{_-d46Z|=J}n4>jI_M=9wK$h__lW3+U8=$o%f7=GRgCx@VCrl>s6x3~2>8
zIoe!Sa-d|K5N(LMA83nA$MbWix{KwpOhWAR;b1Yha84H3PtaS}M^*o{e7@^MQ$d^q
z3jE`FaEMY!TcRwwc%hk~{@Z=vPGOkOOR3D)0{9?9jxGeOfnhNky<RjG!PK5QF~N0D
z$kRodM^B#>G=)pIDUOy4QuwOrpXy`Rj<H88Rruqz4U!cpu)GTo`X;w9q*VU~<wIY?
z-yi({I%NLyVNrd(Sji^Rwy_h4WhXYsSO1g<LyfUvDJ#9MAKBy|p9zJ#K@J;9ds|Jh
zB-N3#0>(lNAu^}*qS2>AoqV-g6Pwwh<)@+7xXN3X*>F=DzXiTr&4j~f+NcJSS{>Gt
zPvD+?q6UQJ%a{{ZUvV-0gKV(Pc-tQ~)27pFr7*ZxLr#FL0}4;VisC#Jmt~mc^r3?c
zb*t>Bv&25(S)jgSpYux|x|a#Vgd!vuUrwD4uVMCZ+U5LiYoH75;lZ7_TKAe}ZRc4X
zzDitfJ{eEK^<<h_C^=ED=-!3yUa)SAa!2-5l60A%u<g;xH=bjE)r(SHk;K1l&EBY7
za?V1Ev9aZvRNrd|nXjFN{NpV;(I@)bz-JLAQfyn1{vmP(m^D_mL?71pFtVbQqyrR5
z?Cnl@x9%(A2FlTQ_!!fMh@v5{3EyJue9K8>Axs~gSi7F+XP2jHX*Nf**a{Rv{ubVS
zKAk>nltbJ<zVv%m;#tf!)D6D-4i6#4^PTLMwTc1cG`82<Af!*VU!cSz4s#;n(`S!1
zwdZXNYI`{gQ?LDPJ!<LiXWi6-civHx+hl;w4{~96s_`nPIU{c^!Z4G3O*fSBO3ZiC
z@+n6KmlNY)wyJo|LrpgfW-SuTp9{h~cmBNmS34w2M)>zxyLanyHCd7{0Q0jZKBpX%
z9phDKB1@}=Ps!g`h>jP@MCtjiZ=6_nRex+WW<PFW@bv4EUwdN8us{&wc)+XojxNgj
zt&sX<PF>jX_0%BGxGsZX8sg}_olRF=sOnop)YEsnl)3%owD%O0R711Q1!6{)5qBTf
zjC54V9gUHYLbJt`P*-2nqs&6NIEF4g#Fxe9A4yqkL+UkJpRG1p!JkzHkkP1?l~8=q
zv@PD|ySoWW^Xnv_-%sW8$5A!ArTM(dIjVWZlo2;z&_XJbt@CUOC-3|!Nyj<p-xuzQ
z5Rs8!S^!|x5E2qXK~Fyd2vKbsC`4R;M*sN}I1_1OV}lG3``I`-Q9=^`>bFk<u%0V7
zLDjIp!&kw)PGI8|nWg-MzAlmE$2~Y3wi1apgo102^%wtxl5Vcr@mCO={{)ziR7Yl2
zSrRG8e^jgC>m5Pi;)@uW-_!#R<fi<h#KO8TgBWZ5Fa7ef53S9wS@wz~FpVJEhawnM
zIR4gp1AgAP(-S(I7wanh$bDbQ++TPZD1(;3$ZteMVv=JLj4Ez%7W{jn*R|Em=6$gM
zQ5YaTk5ME}VG2D&O<$SxAkiN*?;}4NR`4(s;to{}5QY7zU)E&}srtvEpuYZ^;baD=
z!D2Dc(PvgylUrL`O+oy`^Ro##W4{rd0KYYx*HWZ}KVx1AM95cZlmOHp)KRiCuP|bX
z-u!%!O}jfC&v*jY;2Ov!^6b7?@2kk+(aqenkvsjNkNnu7Xyar|88LhYx;t%J;wLW{
z8OdJq==3HSaq}tu+z7>l`H?cdME83AIb6cW`6fP}Dl?XfPfRNA=6gO(DNin|sEFe7
zue3Z(X2v#-**vNtzakWAOYY#CUmj>UR@dYVjH^(b%_vnrbGfr^tdApI%njydcz*c#
zFkcRWHBb%je?JC+CuXj9dY6@QFHo64I7lCSg2ZFi&R|hi%Hovs?X@@{|N5y}5Ad$n
z&!=TZ05-Lz;^}@}pBpH?=1{UGyu}<)Jb|pxGy@An4yMno0t9$cE;VTQ(I!6ez3kPD
z50HG;5^k;L#CkJeWlFS}<&s?VkwqrGQ$Ss8>wNuY*vSVs8E$rrSvJh#(cD2Cvq2CV
z;K5mmeTkKTafr*(y7?F>OW3MXIAC_C2Yn&vRl#FIbsDf`y-yT`Ro+9AjovHYD~cbK
zfX}!-7S(fVjKCh>sCJQupAmwCR)F?Z+35rEIpVon^2d#pbFzG;mIV0*t=4h5zrWjm
zJM<#T6aV%eUPg3`6W6@mC&+*%n;+m>M%$V^f6g~GHYTT~_0;e1=c|&WI<t;QfazU%
zh*}I#4yogwpjl<5E<v>9$kEH;!&M7Rlm~1+JX~>HtmCSQpSs7^A3OOYB09jWaR#tj
zd3p}y#C83BR21vQBIas<OR!*R2{}HZ7<xR1p_v`-66-liI5Bm^sYXiF1+<%n)VuhG
zyun9KB$`?fsF?UXGA_JE{CXjIGlag>`3&7_8Ey1hW#av}Q?-fF8OdNey#{`>-!d_s
zgRT|aj`HTAw7~<S8(g1Nx-Y@$aNT^zJ_czR_vonBl)fcK{;wpDck>B3-A|K)wY~(V
z9L<dVw{-!wJ?dY(n+es8hlkMS)>a#Pd-SDN*CA^6Zfk&UZr&NKBXj><kx&n8f7bc-
zExKZ<F7cb?l@-?#$XL?(-*cnB0W<SYff&iDwQO+g4%B2&!_#O`;Lt{8z|pqhjZ$r*
z%x>NgMwD)Fxj^(|Gh>t}XVhqhouA2(mK6Zd)w#I$k6lUUcl!|+jU!UQja8YdaMyP*
zqRYy=Bdy~+Z#I%!b0il)GV(d*BkG@@1U@^eP!E3fC<B(vfPh+hb3N`HovGrGGmc&=
zgv$4r>y1y9^!>)yOaOQrTjeH7(*aWri1G^WN~Lm9us7@mSPUre9jNr{Tl@{F6O@J4
zo+s4VX>m4r=C{A|q)PPuwT;xkf5o>Ve<dNihlfhKx`eH6EAj8&Q;E^w5vD0VFG&Z(
zsDQrCWw8+rNGMh|D}4VRnJKBq;y7beYrh(`&<R;soagSN2rkQKjh|&F29GrBEw;|d
z)FKUx7O6oJCDcro!?ia;Q%|P`nCkS-I>Nd*qVHbG^G~A+XyAwgC+mmlqyk}P#L+6Z
zDp;?5Q8bZhQdE}*>j02aCaO++D_@lfs#h3h96Jz!ESRzko-93;0o<FTmo_5Iq06TW
zn9o>E`NWo@T2JlGD15AK-0)a$lj9i<WKCR{sg&$mH8Sh{AG_*RD$@?!l>)1&Az6B=
zmus23@C2gE!!#6`r?Ci<C2tKyeIAnow!?aieJ=BVStp6mL>MGMT_DWp<uBM#k<ThF
z($}5acyHvs06r*&8)u2K+rca?-=Mx^l(d`?NlN{U*sqNHA@iJ(m>L%+RfN3AJQ(p%
z?MQgNW+W=b=7lOr(bEZQ$6&g0B~|S*!QJfLO<FVy2;8TbWlMRXW;V<J%FWXa^Z3YJ
z-bFg%kxw|GHVrG7eHMEAo3p;Hc6s5&az}D+pA1snHw-*9f3Ek(oQlPL6oL@;OpWxe
z7)|W#x7wva@G`{fu(usIuYHtEo@c#GDX|idr@k68??Az^?TLHiO`!2Og&<)ynF3`b
z0`<95w2l9ebVJDkZr+mr2;F7PKaU&MgullPc2AlrD&R55LP=Z03XFjWanYGSzmq)U
z1QDZI_m(kCfc@rc%>~B}cXjiNirf`#ut%K4Pwi-hOqLE9`Z3o{2;WpG9^A{BFDSN}
zuy?V6%6~O=G0#73`<5KW8F`u+K%9cBblTNxJbM0!cquH7X!=7VskasD&CccbI+ONE
z-=}vxr;Mv6y3yHf^BXw}T4wvZuuoHRci$jY9$&gqKxF%GPEDVLj&o&99PykFtp;xe
z;t*s-`$BwZ;3A3V3VqpI3FZ{Pe-Gb^K9V1B-AP+iKhWVBbSDp{UdYuG9%&-yewT#f
z&@%|H#%xWZ5{YhGO|#1fHWRP*xC8D&3MGlmUka~?yVbtn<0sIaB+y*c{bRXY0{-@V
z<bcSex_Sb0;BV-18VpcYec0i1Wi9)k<5(yhP_oTb1ps;wU*B}L(ekvH)DOEe*!IFm
zCW_BD8^?>5rcsua<%@yK9J^cl?&GuQ1lx0jVhLng-OkhHS@LyP`37+h7c;WgC(KDD
zX;yh$xh(moNlVjnHZ6T}2h5=ifFB9*xAr;VaLdAuxAEN!l}vBg(iQzUNMsO%@+ok4
zPC0*y+i?q7b2p~d+<R{`O7Wxw1=g8ot>MY1B9OO_PiyhaWz7c+g%n#gUJP?=^&+O%
z7f;cNdM0gTJZZ+VzNw~MfI@%ae2m??t^J5J#X*?q>_1@K$=-#3<Q`Rb{*R-_YKZ7R
z21_7bUi_Apmf@84o*r5NyUis`+Iu;{2Jh{arjZGy@rK`v@$p%u&w1YbMJ(espK2&^
zmI3YFJf=|z3#*A-da%}P8~e2F+X4`U3OLdT**Yoq^t(PXz2BsjaxnXE=y*UCSKG@h
z_IIzKzs0H&egyy2?rv`(BbUHXte{buUuR1;KbE&u;>Q!6V;DIe3zQ3~!6ykMAxFed
z)_=B=_~Pxn?vDYOb0np8So`R-ZcePb6Hu~^od1%Etl7}1Z@Lf<V0r~Y6&+yih4JeU
zK#nxv9UxtpD{E@Uoxg|sLmId<kI#PP%8G71b8|VniNd&hE@|fQpEg`Zw#dmv_XiHK
zc6sh&45y(+4R6?#Z16NyUm6>~=3-_;6-=WYfhZzxZf@=#90);vFT07pfB*jE&wkxz
ze+0_#(8AAQsy23Kkr8MZU?rsN!OO-rQ!!M%cLRId_*gnyu@`32S?$oEsC5)oR}*oZ
z<j55kY$Kt|UI+`NOaTkFOXfj6^og3r5a%0gKNW?v$Gn(BcSMPnJSE1j2d;I37)4`^
zh@-)2=IV)s#1OE3St&(Pp2~36z|?P|EsT5g`h2H8UB_bunSh_y6@9m&C(HhkYLy&j
z-bqiDiq$Me9@ed<QB&1B`K4tdf$~r-oSaa{He2F}iX3x(%sUT7r*)En9F?O%O{&~o
zE;5!s;K6pBy$v2a=*~i+Y4`3+7ow#Gb^pE5+qsKX9O$N}H*uCY(#2kWkawWT&I!6?
zT}uF-QQ_mpYuCEgeGw#dn~8~uoPFu5zIQlVS44k)zh>zN<fS!Z&N79MH$m!v;4~l;
zU<WH)j=lbD@hBr6(lRIfih-r?_68~~EGBhbC%lo=BV}>k^mvmueN3KYMLS-}1gUw(
zZ)~oh5cQd>hLsKXJQgRc`>f>M`JUcH#U`L3W@4-JFRkv}Gs0qvxMb}wV#)oq#@a!L
zftQWYYV2xz6|6?|vw)O3e!rC8jA%fN8*+#aZlGm~uL9g>ylY1mo>zx)i>}gD7x{#y
zQ1iN0DVZt4drx0q-~pkC&b)XnK1`zPfDB#K;<5-qbvhXT0BbI1!!g{r`6AlD-H2a0
zEB80_VqBqoMsx*o9x_6prRp`%KwUBAuBg^d^@{n&3AsL#lpv}p!%I;7PTGN6*2Xik
zvJvRG82Qvd;HKWeYf02RnLFtDS9G8V`u~q1`oC%Yok1wudIJ7ca<5;1CVX47%d)z+
zU4VxTOZ3@H@#>wo^VPYQ`&2UysA|{8va;2LJU`>Q>&MIpP>%4rYj5soQ}bv-JwrK?
zH<|d~kgO%skKOfEj1K^S8*zwcn@#p+XmX<ty=ftS!jK$|Tjc<xl`c_h+Q!Nbx$jxX
zQ@1u8_v6LHaLh52xx#SY<__?lSx9IGVIuL~o2^@>^wilHv?a-HqKtMvAKap=yQja0
zrZ;0Mk2in3KQ0xiBTTl!q>IIA^@-nJQN6TGI~Hv)rJ{une$PS08)sG6?r4)l$rEKO
zX$Z#u;<2P)cf;y%xKwWXZ-0&#$oPOi2WA-zl_~C~-8Lko=gkEqMRv9v@#P(-J>Age
z&<0<t%c2d@{NAQ6=OM^k8w()$vW0k7WIJy3xs1Y=NadI)!WKjmrf;|Tcp!(`8j)QA
z0!hvwx|gap5<Efmqr5;7B{~0R;O^;!#~%Nzyqf-X!Ac%K;K|WP5P`VP{+Y^J2u*rL
zD3qnLg`T&<x6;r3rliUqYuGK8+!W{fOHwjNx9%;m8Ff#%AWBi`n}xRndxZH1;-D-N
zl2k#*QP;?(3aY6nnYZPqd_)SOY2BW<r`yx1M-mX|WulsgXxM{odu8ij%j-UH+Y)!=
zS$si3p<|iJoB#G^0P+hjOu*iz6%@B86AXu9;o{+eWMt@pGC>)<eG8~6H+N@CEr}tq
zv9W{+uzK5(WZ&zr0bZSQ&XuTz(#Rx%=0xVkq+Yq!rV;bt*7Nv<n^1fL;w4C3pkBK`
zfo#Wg%nnEz6+9SF&b2d9GT~>)^}2t5IO45(^QFdFXRTb~)8xP6hF+lJ?g-`Oz#dv;
zE|eKgQJg72!F#vyEc2H><2u<I?~Q-R7U&tPyL$M^h*y+?n_ni4vYIw?WCW(yP}0de
z;r=weCqeD1)vSJ2*4^^~B&?>PQTl7+aC6DXm_>Fmrg!xTXfawu%Zoq??Y~>H5nzib
z!e?i7&3c0uF$XkD8r;{UiM2EpE`ev>cyu_HiaKbY5}LdYwA{|Rren*A#Mr=0C1HH=
zwf;xCiIX5<PXm7!KW&4|Grur*muL|iCXp+Zkq0B{CW+amZ&L3Iv%Wh)J}N>!sv?8s
z2A7br4Pwq#Z}*Qwk3XxQ5urSf@nSotW#FtElYBFkv9mpSyPbV}4Tyei0jai;?u@;S
zmlqK*5&-1gBtW;Aq*^^kJRO9&d-bmW4?#UtCmsf`c+!U1cfncqK%KGk*y>D``qA&I
zL+q!Wv<SWE#*o*hbaK3v3(UmJ{Oyd%WsQz=QCN*1V0Ly0ece!i$e2~@4(dTG%@9O<
zn()uwrcMj!5)60<+88IBsmpmh4^|R054BiLt+0YJBR|m3Ft@TZo!=wOM|5U#{E^E!
zEk`~#x{o%-03jNYO<wq4aRiCfg0W`v`V<a|pN@Tgtyuejo;EHM)l`jD7*#juz1|HT
z<h1;``&IU_5$n%CJumv-68_cs=;q80N=XqBvBiiGvFa2G%|e@tJ_Kmu0L)PAd<p+4
zMGEglKzCcx)wL8ia=|xOok-nU=c}N;-a+u8UQGo}-O8;YT@0KyD4koxd$q9|K$1N|
zcCt4kX%8M-k!YNlalutN53ZQLv~piaFli`WV2{avUm1T|4q-`*lf4^QQE6WijK-Oy
zWgDNCbG4?>hCoFIZ?q%M^8dU(V1>SjWFE<mEoJ5{0So}WUp*q@j~st^bs+MS)x?AI
zLHq^#>00(U#mKmYTrVa}q&(5s9dotpB{VF^^KSTOEhGPT=9b0O_!VW7UWJW|!Jd7z
zg%BbGnp8+A?B7_fBnC3)gA(AV0OBi+JU=`0I9TAP0i-H%y@`Bf1P9l*p1U)QOmsWj
z+a<-t0|;`<o<LH-zc6lOljRH{eqk#58K}h2i3#q%WzwXeu*TonQ<<o)AJ$SL%>3@W
zz>!l%MAzWim9;jVjR3VLVa9n$^RVgm(PJSp66rr@>Pm*@)XOoxYcw#+K5&)93)8oP
zNd^IIS;Qy`n*rB;63EiL4|fwtnLDqjpCsUtDNXpgFC?$@gI-||!v?SgKWSJhE(Hkk
z_}u@5l3i<E!&gtZ7g_zF8J;wpQVA|Pe_hr#u-<MgdfW3i6o5w({LN!?D4A%Jm{vW<
z<HkPc@<Ui^!<(9srb?U^mV03{K>|Bg^Ckb9uvwvCRvUrsmvWkuZTK^0V&vhAY%-4Q
z4+7}{Zf<y&mzMxzV48e&NV*7L({TjsM-tZ|ow4#)*J<TI#CGxQRM`O2LE{dwpDVWd
z4(iu;n5z`4NPeB9bP}eLj)0Z2(@b7(n7w|^BGb5%MF_jHwSOH+SFWH4ce+T{+z6wk
z8PYUOQ8R06t0vfZ{v<RTTJt`}Kyi6jS9YLXq>T`72`=3}bIEd)VksNQ7O}A?ZFcbI
zsoyW*4XZJBA<~{FMVPRo5Z(dfAd1frIjD(@%EeVsTw4!w3T)6u|7e)ddch#%$tp@+
z|4M*Kv`v_DTL7c%wKqCJNX0)^V_){KHVO?}<ARowQqIAlyy5-s@85&>x7WY?c7^`B
zT^bmmwJo`(|M1KOT$aTOw3*1NWV`W#^sDrdO{2rpdKGUuF2pClryiz3{k&XK9XG<V
zq!TqVPs712&Sa;DQ4qGbC2EL#5gM|A1x`QGP&F?HNTun=@o~2@g~U8+C4x{-cVX$Y
zE#K><pqZ~Skty%#i-q!I6oi>QAgTH3n_MX^CL+mCdg9p$UfKgP)Bw_*K<s+=18|_j
z&smvoNw>E2rMADN%WN||7V{VM0`&7)2kXb92b~s}jSHkQ@f~1{;8=P!n=Uu-tx4K@
z8o6fzoU1TfxN$c%9#6I@Zr*s4XTdk_f7I~($;|aOX$x*`)Oiqq2e8}|G!On<`eb>2
z-l035(pWQ1OhRHwk=ozKXFUpEn$JeSa#OLvh<N^Rp`o01Z3DG>L6ymq2Tel+g5jx7
zcfKd3hBqfd9Aztj-nH=juFRi|j!@@zo45k6qh4Z(TZDv%*!H#0i_bHa-c_Z)l*IZ*
zVxojUAs%poHd66gFQ0B4F1c24;@Rpb6)#Y7UHS2s1XNuI>^H9kkZO3-`e9HF-fHT5
z3N?f;4P^s_#v1yZ<cW2sM>J!OB*kZtvO!y~(;?^KmeP-Sy^$P<WEDc<ama3xC6kvk
z(cU5*^u2A|${XtBJF0g4ZoK0SK-;y-hO*R)>i9Z3Z_$tP(9~hgS>u1}m;ZMyxs=;q
zsR#$$7Y+dPO;=Y}Wg0p<y5YM!N#Gdv0P2QKIn4k-$1DKoYa-_Ng{5H^Y;*tFmh~4r
zOk_C8=!9X9)jZVRrzCW0;M2Mw`;#n8=%yb3odsQ+ma^`;_xeW!RahxkG|G(y*WM@e
z?ex`d?*6Y~h!iET+wr?CUl4)La7Oz@Jw_Mvmv-p5qf_~XIc#vJp^2SL;*dvdLjd_C
z4KC;b!EZ2sFyDJ5==tVaLb${)A{uFWUsU?64M})orD7_L&ARO+7fZJX1PzTTVdd6B
zspMMP=I|x#Eu00uk^*j6xmCrxRMqz^MUc(|*am&F$KLsFrQ3h8d;iO}{qMT?JwX~t
z3A@|W`#L@UDqVj+{lh(b3}N4#>!jfp)qPBEe)8&I{;n_$UaaTIx?H|g5E-C2EE55w
z_jW3r*eq=lzQ0M-H8ixq4F>aiB2~O$Pa{;pHU|=s10Nv24YMp!oT+<Z_tOai%a3<l
zZkIM{1w6XJIMB!vu622>tfd9@042<VrceBZs--F=3GRu?GfadqEO93^s9)qh7>t_h
z9bdL2$7WBzknJ%OTRcX2SJ^|q2obZl!Qz4vW5!=9drp<mcMqL@SGYE$Co}zUf9FOr
zIlm#d@bXFa1R&JT0%e)VUSB8#OP=6U<kFMsE+$F3BQ;8jC+Hq)i_(ZId8qp|G<{Si
zTI@*G9)6;Iib+)Pk|5}$D78@Mi<QUVHWt^ZYVJpW{+rc;f&ztpdV*V4!orpVHspzW
zf&^IVyLX>%X#KtyW)u63VGMdZ7hZclo*zkbOT<12^VZVQ$@7-kj+s4wEND7j{C4Q~
z(ARXe`a4KMLc-aHobL9`%hs#{g>VyUp!4gR{({l!9atyzOI+q!hC2*^x*d$K(qQT$
zBjRZ6<2pHn19jbJ*vWvLAhg<Jrg2u%<CH(<6&@U@?TX9FhU0S4(9nj<1EeI%d;xY?
z{Uz3nKO!I8BEdB~`1p)yIOak8&UQygIt$hRniZ5oLLFb^tF;-h01!155Pq*PKf#?{
zu%=9nx$NnyuZor|Q~GW~aUYMOssg^taD=vb+AR{X;m1CIo|$fB$UU7B4kh7zDpn*I
zt^g~a$q6GM#<6YZzhIX>4xzt}E!fRF7#e9^`=YJ239EE3ebzOQsONoZFxTcl+V6dm
zSHA;Tp)k<F(r0+){GLMG@ZnN5s>x4nHonT_?%E#rHl?p0WrEw!$3B@a-p+-Gg%bFT
z|6|f#55wZp0B@%(I0`v&G1Ey0JA%m6)zuU0_@p3|Qkp3ntfUqzWfc>n)`2AZKaN;+
zzs>_Ap#UNzCre|u*jx(Z{KM8#)sjR@?u(79091TvB>Z6)`6o2X29z}n7&Ks<ceACv
z;*@ubmNJzX%(~w>ZR-W&@8Eymj0#HeDECJ#{A_G?NF%TC8p-cRT;JhWufX7tuWUct
z=SO9Brv&tR`zRQ7fS{Xz3F%-lKYZFv{Eg-gKH`Gm!aJsl>7^*RRZMp)!oUUp?MAH>
zs)IG@i*HQzH}XUR6e>=B*kcgJkAZHC!orw}J60OdRF9p0ekms8^M|DUk8W!JfM#2n
zBVIwE2jW9{K|w*M+j;IbE-tvfzP=T;wIbfqQ-Ia54PR;On<dlj8g~vem+^+uf)~it
z^5L`1hMzGzpK~Ce(EqU8sEvclgb2knvwgM|^jxNSKO_+%7(NdPGawzb{BEy7;w9_y
z#3db<w<o42h@BMW(*_q!HOFvIvFC#Qwugfijlm&Gz>Noqal~cMFDSh3{1+kL>_DTV
zXFW~%muaS4b&6X^R>MBrU^$`{vV<saeMAaty$u@>-S2gewuv7rYnKE#x^a&lV=o3f
zh0>W;H1wW)?s%hk931}rgb9jb<Ib32-W!%?$!16jf#Ecy>+Afx8FFB(chRxYxcIcL
zQHAw~QCG;#-TiMEMJ_%ru9cHIs1TYSi3Lou+HMBE_*U;3Q<aa0N+Df>9|EP9?pF%n
zYRZuB?{{bS*ZEbuV<~mbw!A5k+PTveQxu6~p`jpC{a>|?FNnfEB^5PHtf&6!NmiOx
z9v`%>O2pr*Wv3HAnj_yCV7ADV>03m<T}J-uMvmPW$u@xn+FJV4``z?a(Ot2hedyYa
z8Pe8G{Bv-mXL31a+E%q9(e!A{JOc|;DTO5ksm!5Rqg2O9M`Qx1ZgB@*cZf5XYl-x7
zl2Hu1(ymGEBTHZ^jhhMwl}ex=%~h^-`yFEkCg>Q?KNmkiD)l_}eZ{dm3i5BY?x%im
z?5+=mP)^h~EkivWxN9TR%Y~!@uZKQ)$)!-?OYrJd7veLmz7D*+WRcL_<s<89qoU2j
z`X~Np8B8-#ImAyhD7j%MKSoC}{{RFkp=Zy4p*_oYcs7Luamsj#v2m8}aJ9zxPlD%Z
z0j^?hKTQ12)Ic#7@i0vfa-YRC=2ciCg|-GsgTl66lP4~BTt}Ed5)#nkQ|nL-h=Ir5
zU{Jq=!Pci8>Ch?G!4p<m6eFWJ29A3w%Q(jQV<lf}3Z8Q1RJYb?!M<}xzziQQ8Acea
zO&H3IWp3gH!<+Cc_5Mv)0*PxV#_VX?04y_k9Y1P$J;Uz3stzVLcJWs8de#Q6%NQFz
z{x(W;@J*p!4b}673maU@KPjz+sm^D%E}&^(=Bk<<i4-zVvXfP*sRZY4>6+_q;2^3K
z|H^H!p)LKm_Cms`fT{{~`Yd7v`3JxsL-YIkOvLjW1Zrr>ekOoLdms0j|L-j+BrIIq
z-AyxKH4`@o+!^iu$8<-_9k$!S(&FN;8$ARXa|nkG^&1W9rd}$`D#71*F7Y@YZe=L$
zzaTDUJ@3Jz;W^o8i6`)L=-^LN-RxY@NrZ?k^OKLTGMziprGT;`3E#1EneOWaziKGt
zm0k)CtGPO*%A4L)*0K;8hIzpQuRjC`=%_2UVE8iMjA9|cP9{yu?!8iMkUc1J<m_Ne
zM-m&B0b{PV72tIGc~r=rxv@Q{lXU1Dg>AZ0Ig9K1SA|)pA_LZM8gZD%JbjGAHTy!8
zxGJwEgRq|^Dx4pze5(ca1WHrnMl-H4_CGJ!vJ#rhaw6=K$|hCSmM*wZ^}(TJCQHu7
zq>#4xhv2!@3e~%6XzTo$#LZn;(Bas-OXdGOHlFim)o$7=_?O%IG|*|I6l9TBS#j1W
zGGnc8H^LYo_(nz|>l+%rkAnjt2p%>*rxzDOon2l0LPB<2?C}W+N&fs93&KJ|44j<K
zzcPKa{xcaOI8h^M*zILeGk@-OIGqOgy6`ou7@>+n+uGmQAx#Rxu>ise6Onarb$`Ma
zE_|v+Dd4Wj#fzAJCyHjXnl|7FZwjjP{3XX4>bpbOXagTv77oWhZUttaO1YS$35{@X
z*IKtbeq@_YFd>vjP<Wd@RW+bX6VL2-2)>k_IfW_3u#XRocDv^X1S&Q%jE$IId_8N+
zcezyHiHik<L0J|RZnhw00S)Ph+d7WX;9@f)UWvPwQmj6Fi_liJJ5{C6f7P`y${EpA
zF;{(SlyUL-ANUSi1TQAnxEnm-lOUZD<PCxd&6cIMs-i;H*0z)|oE=jSb=!+1iC!wu
zE*fsy=9W7Om?bsW%rtr-Q>k@(`7K#%C4muM|AVc!jEb`DzrO`hk&qhckYOkpTDqiD
zLPWY#>5vX-h8jXjN<l#s=@>ePkdlzjA(b3*=>LiL{jBx;?(6am%Xcn0&Lj4B@6YDu
zLMlh^mJ$8}-(uj{w+x!Mc(JX?7e45X*I_Z>^2(dOWg`Q*D1(hfl6C;W%LqggRDBA#
z6Fxa$1Z|*CoBcH`B^Z1zYq_ViTnOfkRkRc~Fb>&o%zDN^)s#V1>NPV0#yqDTJfNT^
zvQPkNbVnp84aLA~$R;9!;tV?&m{{horsl;fvy4;My<V;DRh?Fn^nGi$auV<lx5mW;
zD8X7>ea#7qid;M2FDNu_yMIFN^zM)iS+p3vTYZ{l;1DagzC0kgIN@jOfIbsQ@{ZYU
z)p=sd1k=TGrYZiK*g0dyT9SwFd)0#HJ!7U52bsSs<{EDNQwjAjWQOIN<Fpb=tvOZC
zys2wFHBL^LR<MTj*RNl~z=d{0qrV50lS41=z1J!Sc2Br*a{+L@J6NjXed1g?ce62C
zj^rksNBIGdBTmlN_RO!L5iEJ$kA{)gx{%-n5A`LpW+K+;+uqW7@Jlc)_isB>l9lni
zID7p_)ug?qS-oJY^8M4?Krh14(B-HoXa9!&%&#iQT0N-1i(5vjEA}rbn4+nu)Rt;l
zY=zw9aRZA`gjLU;ET1iQBP8s)$7Vq#N2X8uel~cUw(%}oURW~~_ko{N<R>#*OzKwB
zl-w?bal7(c5Xo6Jp9fEB95VWzhsaUZX4+Zk{*pv^(M47wu6Tj&67j2wz<^Kx^3oQI
zYyG-gZR3%g@+p3ALtkyzoTY9#E1ZPLKf4A5J!CG3{Ettt)tC6g3bJQ0`a_@EGg2KR
zkW1Tg)zUK`XHUV1hEZN4mCxwPVcaW~q*)&b-YEdrYk1|+ct=HEI4YU&v-fu|g5AP~
zG9G^TiBk<&3e>84zPaeidv?gn>4JY~Z~Mg6HTD!qAFf?AsRG0fz$*iSr2E?+Z_LEq
z4~?GkF(-B<D!;Irpx%VhYS0_SBX`F=#IZZc%`Efki;0bv+(<&dnGvl<vAW(zH4#C+
zdQ+m0?W2UQ`AHj06kprC@Q*WnD^W<y!k(k2%Txc?o%FwV%q@o-cPIrp`OlG&5TK!e
zjL{#nXU=q&|M^XU0|v7UAD)?sLCo%}sN!)<8Jn2Q53-at=>qc09Ijqc8m#u6)L4K9
z==2eF`Rq8+#cuZKQ}GCg+S`)KE+;Q1s?ca)MAATECBg)9xBiw_Drr>fDW!_kKF|vD
zH@Wy_&#FZ_h+Js&q6#{16M#ZUh4l=h^Bhc~{EEqjDzJ<_WpRH7hFpj4Kxw%pSY-zz
zAf%Y8-33cCu4oP4HJ9@Bv@buVW5`xZQEEv0q}dXiB1gWbRJ=I`_56w@c$1Bc-p9>2
zLpc<QS(Hx?2k%9h1kscq3qsBe6KJ>F+F7N78+LHS?+x`;*h+6kBZ<$rzg_-VTp%W`
zC;2xGJ_qL|l$1Xty_phdl*DZ0!+8M1b<)K4Ld$~OgVC2a>0E@*L4nVp`iN{~DoD*=
zQOZJrnkHAiiSx`S9&4_Kbg~8~wu>W(Ek$%yxRQGd8B~rh%sNgwKt^Ij14r%u6!&G#
z_of)7%#2yy|3E<~VzM=OWabrbJ6ZvY?yk^vV2*#0YGLN~psnv@G0U{|C?4wqHA2_u
z>Ol14z+KSsyxKelC-yRo>dVvChwWGG`APn~M69aKF#FpSu8x|`rt5{g6ivYhxrd`e
z7%QaDyU4FgZ%$Y1{NwnovceZW^G%6M9*pUaJi6*oFHf_3Yr6+0*=-K>?&gH}Ix%rl
zP(61aC3T#=Yx}B6?vXC_3|^-DLA=i>`(^&Wd}5n2H)0kiBqAc>=j^OQm>El{<%sAY
zE0Q%Co0kbjrPU94Q<c8BU+cWkH91M?xjXL&WgGvjYw-6tcocd|K=_9pRvKM5-i0vN
zsP_|?m#<A{NPB!POtXK*lc>RVk7!$ak{h;rRUt^TP^6as!r?KczFLcg0;DpB`5Ct*
zKFzfYFV=fHtlWFQ<jwto=<05i9%XiBchL3B5Hf8tJm_?Uq?{!IVr@`E5L{MD?9&XU
zg-Qk|72|c1NS|1Vv8;6uOU^rVneb(IPW^Fiqab2TjFy@T@>Lf01nG2Wy|_KpTuJ)O
zpKf@I$AX?UiJvUWYo2%rb&adIB<)Sqf;IGUVi8&tIq*ATU^|8Qf*H$zd&MaOolmIq
z54TzIyT9g-mRLMV-$OQ&fFqrim6Z?G)xY#Kc}Bc<=bOB@t0y#{KL_SrO{Z&_8@szg
zGH%w^tI0vLB~?Q8IX6e>B0EqI<k>-g&xC_$$?79RkOWQly-RnD{K*ri2mSePJg}~v
zp|FK0LgbP-_u#v`dvW`Z+>kjav~NyD-J76{Z6z3Sx_W`8F=dw*T+qVGpE_*^&PeiX
z(fpe2E~||u`CyWmu%PO<3A(=2g<DK9K3H!Ln(jmbs!R(q<qGanbYeV9Qx_5sds(ig
zY++YI@i6BuXo^G2frIa|W}IJxFWeZf>jA4#%K2gsN9ajsZq!r%K1glMeD+fSKAuRk
z8y)2@3y$7g{3_+J^_cebVa#x^YBhKJukxxM>Fa;;>1!y0AI5Z6!O}A_+Gc07NFu1H
zjEsyNHVBA_EL~iP<>g5U-|T$=hUwsjtt|(mI=4H3BxWNK-9rzbpRR9;cz3LD-yslN
zRcM`QVUtJOG1V|nD4T6x%vDuxX|0!1)Ybx1=0(mBulTbeq178=zV#SziM&(ta0T33
zxn3`L<xz;)?^@}r-M{B_5X>*hydqh6q{QH2#-WI@k?@HJ0*_c1M<Je>L3)A1GOBEz
zV&Y$jcEb&!kNnkJCN)>`eK2<o6m~3te3+Xl-5=R!E)foPhjdR<GnF@TG*fXbGlg#5
zV<m~Et5Y*d<J9UpLg`!(_o5{sqR!x}jXd!kh1b5=CGSI%Zk66T-a<mWG`{GYKL5wc
zVheV>`4Y>21@&2`ACrON*&hHRX}a7SK<ApQwogOTuL1Q=ucXYA8H$ZkH-S_za7H*h
z3GUZZ5&=<NM;T8!jluM2U-h&-EYHQf>V7hx*n^6K)HJYZbx8qoyUEY+>k7Uw;9<R-
zj-eL&l=rS!gOICokZ=?3AU1GUsfhS`>EIraFspq_<XnwXA9^(3JRDN+)q;uCSufK=
z)?VhV3_7n4wl$+k=w^?vNiiR4DtaX`zlD)ngza|aci#3Gs5Ya$o!(6lpVnmMA9s5B
z;}^xIcd>{~YfQ2nPh&b_r&TC{_P5N+T0_+QK2@9W@Qj6jjH4UL#2hACPs?9*t*~=b
zxa`H$h@DX7=We*8Lhe5o)4SGjFd#6e%Q*8;J~8P~Gf^xxPX)?pXB)hRqFO(H{=C>J
z_vVnXK+zS5l=uwxSe$|Wb88aUz*dz`b%|!aO%z416=(`Y(=b>>ieG=mke_JCB{J1K
zxUWoplG@m{ikKe`k^iWd^IoRTlZlz%iMy#v8r}y3Ml(@JvJFaVMZ;a560hUsd_Oqx
zzMobq&Gh0p739oT2Z!8?tHoJ%2l^x|bFV|<THu(X@$EfJp<zBxngD(}1i$~UEyD&t
z2s3gsNF4|~d-)wp<Gy}lq<+@thDCv^4lw<>9IhuKkv63V)qF2%?wX(|L%DO>iHiln
zv2aKClwLm}_rbp*uFH)7PG@j<w;>w>YFe1_?}jYV=`YC+4i3J2{faFS`HGbU-W`YR
z1eiWJ&88+MPSD52Q5J*$>GsMI!XiuN2x?5)+P<S~LXpB|oEFu+Tfff3Oph#)!^=<B
zx_F+)Ystsia}YsWj!kSX0s+?N`)9=Kcj-pFH!du+E0!EcLg5p-i~Tz)vFbw>4jy<d
zjc2z^;P?wc=D9vW`QcmZO&YaB$D@0qO?FV>u!xJxFI4k{xg2lp{7v$@yItJ(+?TCs
zRTauh7jZ9~>Y_NvA38;z^zrUPC{=Hd>l?B5ZV$F4W)mTp^AHCQM$jUU5}!6MQ|Ad?
zlMhCxElC_Y)^W1oDF$O6HZ+#S1cZ~s3b`#x6)~K>|CdKgarBM+UQxk!GwPdEeF8v>
z6Vu5_<Kp6Os2ymq%_fl3R}13}w~Fp&RnOu9qrV!IaQw}&kEg#SF-m)(s{qOcee^ah
zxp(cW!6iwT)jiZ;vu6l{(kJ(zGQ9CxNQO|MVA2*N^3GahM4rkPTd}=~f=lXg03)iz
z)iC#^vHH)Li3d9}*OO1Kc9Lf(la)|q3!#^*@?E~|+wVHA6ome~iu*N@8{CRg2TEW%
z*4};cR7^;U0rB&XB1ruxZsSiR(5vNHUP$g=GEbU%&?*9Lf%6v~E=uqAbd#p7oqkc5
z?Z2<AlI}EBX5&!aL4EWmfiZz^%>d1awB<Iy><w<V^dmEB_L8_{M4|kHFk}0^YT3Gy
zWC-`4;XdLF@1yd6{KuJnBL+su{Trr*QG~I0fxkbesg3a<%?wmEaSOZwVLon`C(U{c
z4KxL4nVQ07BOe5Nl0m8E8+9V0YqalgL9yShP}21my&(Oy>P?H==ka)}O@aiLS(t~A
zs(4g;srZw-8Oh}CYAMzB$uotKVjt2rr$D}`_s6Tj<x9bso`w-H@45`=Kun3eCEAgc
zarzlqk7``cadBp<bEtK6mC|POoU+ckL*pWR0{tOdO{qcn(S4t>p2ZODvi~@O;*9v2
zLZ=`yblN2!+G59vek1NcD%}r5>X$1**=Wn^W|d-(AJJvVzjo_%5F0+f)f-Gs0#{7P
zq7D7#mJ2~7uXrXA5A6({)j!+t``_#NjaOP3Xf{HAnDo2AxYA1cWALTZQ2;dqBbzE^
zS6NZv0zjB=ragfz3u^wRe}zJ`O0qI=i0UQRh3hl&`Gg{QIaDq%a?2Gda5ddxm1KY~
z=HYg^IZIvTfumZ!40QE<#=>Na4}LaJTV7PSv%8;8L(YqNhao#r>t7t`dlma^a52}p
z#w^JCBMD6CD`#fFg43^KeF~f`mwZN#TedMKw=b0a#}BZ$JeuSDIs^#@2$r4?H6-cr
z!ak`r>>sP*@CAffLw`{E`0CT5kDqeQ5_ZR>gfW%U{yu%h1S%wRm7AkaUgVk&&~1#C
z;%zT0{Qbr|-v8cCeLfhf+KiPM8(=SH<8E3zP*|(5@b`H7zwW8vIK~^ZwUi*;gUF1W
zaVrH1_dLD-ps~wRaQzt_dv6!g?t1^6<sb)LkL1L?|3FsDoP_Y=3Z4Ozo;*`TD=!pJ
zA_{);(#dAXJxsfoCH!ue|2|r9U*SSxH5`*ncK%aJ6jtk0wKzIYBECh_mLVa~v+wid
zy*CG8dtp_I<tWe(7E5{z<MGSevSz~3&TJCFQ27>$Ep4>Ct(zpMXN8-4U17bm*6FJz
z7}9>d(x=Ll!_V|MMxB<RWArfE2Tp=~g=VjbY~Qb;aYb{fA1)+V-&TqzV)R|lgVX>E
z<kvG7pj!Ull53NsH>B^%v_nQ4w|cuLk5NkPa>P>KPr5X;<W|ji?824{ISWhwZZU#P
zSa?lpniFg?uE7hzvUems20BTOMfdugl<io@$#!ARXhIlI2@tA((M%CoUi_h!mnm8Z
z+(I$4k+ke!sgGqcs~wjb%&Qi4)LBSWuc?~^Pdokv{v?C8p*0yAV>u&WeeSCKL70f4
zvFA9<6@ht@R1}8WCiw(zq<HO7s`rr~`XTZ*!C+I^ZFyGB>`K)w?RK|rBBq#Y&BS2{
zJu;R>kU0g!fU0yMpJ-k4=+M#&^|ohx?w(Al<NvTIGl+Y*v$V~9G1EnHZ3#E6eGRQz
z<*F10yw1<K!#1R<UIm!`%fvwNZ-xV}6NoLbyfO|7k^;)X%FD|3QfBn|ogF_XsFeax
zJB>VqUeeruZ$6CJs;;R8$T}z13OBmRlvQcXV&=8vR~Jo?+E5G`6J5ul18v8CdUq>B
z^d00!@m&h9MeQEz-ePBT%CGC{Kc6)H-E<$Gbrt*+eG(tkI2#*WhwBN`q$S1jkp)IH
zUW)dZ+c<m!YHm$F!p7)lV=Fsdg>$=0tOM6f3QW9Y=HgFI$e3tzzY4>XS4;CCdW?Jr
zD5d`5<!_ml3S_1!*7ACuI=m`~#IA=fyOQB!MZ1j0i`sHdjZ6oEFsPIKYfsWdd*^n2
zpIh?*>x(ua4VpP)<u7vU4BAEcH`m?&?U3IS|9i;G@!Yxb1{*ba5(1iTdU|>*aHoc`
z1ioMAS+K2W2sl43Qo0a7M%+wUg9Vr#VIf&WCz*-jqdw#0=BD;6*`V2)1*kfjhVOXv
z9okQ!I%Tj~@dCaKy5)<m@b+$x7c*)UMUe~<em)g8(2dWVJ&(FsM@=1wt1m>%OAauW
ztB&6Ooafcejmq~YAqGMlgEGe6rOHkeF5!DFTU@?2)5E;;Az~f6o%zCydF9$+C|ylT
zHou4*C|<o_t<hFOk2QI-%;x>5xp0X>%AGEEr9+8Z$ur1?okt>qVTZF-kQSP^l@4ig
zkhE6z;cmfQi+uxa*ww%7C+q4rMF#RqekVIi140X(dwXSQS{tw!ygSs2?=;2E;`rUL
zM^*l!-+#<MGvT)^dEJptsLvyhOdjK_R5{VM{K;yQQt?15cHkozNsvMXEa;#bHB=U)
z>Rc7}_)1*|S6*^Gucziq(|3^v%5;xw$OOkgYbd)nyf(IL327?JLPCa#5BHXS6^MEp
zaa>XB9UQ+7x0ipK#QdY>ae2y@{t`uikHzJ2t$^LFz46{bwr_*3@}rz65X8d2kl#1j
z$B%Mx5K1NPd)56MdNI-u%v5ZfAqcT_xxDin*y9MM@G);VhJ4{^@u}lvrRtIh=5C{6
zGiMI+UT1Cid{4~7$t}JIJ}F3$ee>Z9+kZQic5q%6Kj4W*G&Il<F-Shi+r26B0VwE9
zASur1^rnwbw~l<Zo<FbH$sQ&AyIl*0yk&j`qqkQnS_lWQVJ<4*$Ohnrb=gWQxsfRg
zht%2AWpoD-e>_fX3@n(0caZw@uj;d<>A%UKczJGHRMDPA-0W^Aq`+!}9^4je4A^Ac
zmxDMF&%mbhcxX+d+`r9zC}|PFh3<GyOHV>hjZ$!d&c-HlDC>wfzL&zh{DBKL|1kUP
z)-^%(lEM>}=M7DF6cbi^Q(Sxc@Pq6iTus+0NGr}rV{n95$NCV7DQW`p6(J90lT<jI
zzo$g-2FpuQ#$pku(0b$Yiy@e);VJ17vS0L&`#%PX|H+RHMc&*5Gcu@L_D}u0BtvA%
zWyN{^b1U|I3~a+=Mt#h$=n6ZMCQHOuB24q5gV=ZDG~`_s<(4-`dBwBh^PIV&D6BFf
z9Eh-!7M(c5EmT|jNTe}iJCCal<DxXS9~E@wW8Cb89*n1gH{Rq!gsKW==8Db(`HyFC
zn@Q=65{+ZXtV>&&?r;B)CEUpU-HB<(-HE@V_vz3PHokJCs(rA<Ey`sn@MzgwL<XJg
z3*D>>0AuUk=BxYh$9(8VxJ2!kp5~{52omR(h{>khc8QBZ7xE}>H!z-t$9(ZUm}ia1
zY#HzHzn@7w*c{|AD$cBwl<<oS|JeBW_HC2HnoqjCh5dkm`Og4@@3r#ghW*X53La2z
zCAArNcDS!-<msZ67fxlZmY?0?0}0$ABf&7;_n+jCfk!f7^7n5ALdZeuD%g8JLQ*vy
z26Sg^6@V~~tZ+l=UE}3Zj3yZ7hs?#KP0%ZmHk6UTGCBvVGH8+&3@`PzYu;S0tF}%j
zXX#oCeE^s@&SU<%{?WUO%Q;?VyY6NVfuM<dlB@BG;t#tMllb>UE*02pHouFeP9%R$
zWLoZxWpXCYX<A=Q#PRCwHJ95BjM_M=C9!uVqlvapTG{#dA~VUFPD#<0dBGACpJ$+d
z1zB8Vk3M2ATkEqA=lZuMn;`{YgK^c@r~3N!Yb-Y!kiWo*xEspF*n5@RI5#<|;BCcL
zCF}jjkyKf^i8&Gai#j0V(qST=9)<b}scqm2MBWBdws0RyXoIO2=ySSvjJRJ{&e<ib
z&VhGIQl6|O;QJ}s_Yudi@{04u^>G?w%JLbcHW)h4XDY%-mZyEkEQ?9F#_DP|UI@%P
z9|tn1X|B%y#{$?zeY>RKc`^gfyq(LG6Kna}oVH;<Q<D}dq`dc1E?iep4-!4KhR%#s
z532E}q;*k3iJmOdC>_okt2qg=rGieRWZf)?6TVpJ9x+Y^v>|&e8e~c5bhz(#6;S`X
zQux>Q7QP6GG%IUsV0!pXam>KLzzs9+nCuW5_}u&*Z+^mW)h&+_?*omm2Bv>|G#o^+
zRi9_b*-RsYCL@_FIC<$bmM-V@F-Q|s+U-^saColD3$zBqvwWk}Qx1~k>#A{^FbhvR
zb~YeWzFaP}auD^%D1NkoV^~l;{ycvaF+Cr7Rv|O?a5Qr=J{>|~%_r6}bEj5&EA+`%
zZ=G48nI9}BMkV6jS(01a;t^J&jOUaHE*bO-Iq~Rw+#l`h@7!b6SPmaa(_)zCP^LPt
zb`XAMg|3u;XnQzMV9~3?ie0V^4o{3_Jl<f*6AFw;?+ae(FPqewmGw1$@Vlq+6<L7c
zR-5=_JS^8uJrT`SBeGh;3=sHYc?KsVB>%-DAN&vi?5n7@1q+gObad=_iz`5`klcY-
z3KZJnHX-$_DRxhyU4&x+YKq-{JuB8<V+f!>7cc&Rl0=%a<A3N`Z!H2dh}xnM{Erin
zq3%&CK!RVCLZE_S%*tG&#1;+H)Yo}|9_hNIrx@J+E)P5@4Y=mp4RtezdHI5G|6+C%
zQc_C-5Z`5Tv_bhrSdp75OI6fOjwe3`|D==nq?H%}C0kqE!VyLqSe~nbOVh3LRk3rO
zle27+zt8AISqx&2I`OT!Exk;V%d_<kAG7dp?sxN@>M!>g#AyxOh=iQMC!Hs1a=hQ!
zEKcU78_%hqC+cgLGZ}%eI`zS%6ftF4Z@($z#a8a;2Auaf6mS9YrT@S63;4@q5zb4X
zhf71l^7ZQ<ayZ%-+wbfwrqy{=Fv^LYv64C2*+510od>kSAHZmJx;N9#%w?hXH8-q#
zUBz4)d$^T5jVLoTP;TScU^n!3v!1309J;7m(VwL!+X#_Fu1Ztv2dI;zP!LUx&1_ZW
zC9G0?sLQf=<sSQ>;L)rkPxRI%CnaU}(}{lU_mN$^;uLL%8=#$IxFus(l*K)2m4l^}
zFBbNfs}8DZQ=&K*B|wSrF?g#_QThX=^~cwMmKvc5CSIVupmZ;PB}c|5xQt&h8wd*|
zD%M(ucm=cGx>tCCC*1zI?4BEB1aT8M>^@JV-IjlCBjdn&QFaq)YV@XPuz&D~4*q_X
zlOsmp^}Cn<l<FtTZ{`}wl#Wd4Wn7d5)NfM*<O*0_*DUd<p@*EFQQRN@K0I30nG)D*
z_*829cV(<w<FHBI<`+G=$`(GFC3Qw=p*fqyA9h?{m|;7E&e8er9sC>k!u(4im?YVv
zH{#V8PRX?CG{J;AI(w=?AGHU*b6=o6(yl#`%IGAD2|cLV5Lk8XW7e&^ie2cKz5yl3
zD5kA9K=_5>SCfMb;@T<8MEk@|j#hL<8lVqGCKapP*l^z~I+>Xj5HWZ(hOZ5O!(8oL
z;}voY#k}m}WgFK*2{rClJdqJeU;PN+D~E!eTPv@bnI0%Qw?y_F)h28N5}`fo_<PqP
zo;hePK2Sn+n<%^0-qM}ZB8esX;rCLkxb3=XxMhF*&-;JeeuB5v|N3-MKqQG)%##3c
zDYLkx1IArkdzGkKW>(4d{j6>a-evu)+@Try|DO6>SStEzue+cB@j}J@c=R4(ZhZa%
zCoO^r0kv>VgCH72c~}#(*p(fGA`3!pQA5g&ou0tT`tFvxy9UskrfIY7xK6#p9XVkR
zL1^ZsjFPg`lEplV4lHKjf*0DXxz;*U+Olv^<fo+RUb?;i(C5I1JzFivR5h)&$lcXj
zp^LN$8(tQirD~2XDH2puWZf&+W(B~X3Oed^U)`xSNxvEeXcW70XtfJAOpL8Vi-Z7J
z(Zgp-1eYSDbVA4$40Vz$5lO>2Z_=fsf?m9r5YzD<br!RLi_TUsQ>p*a_AvGTetDYM
zV((g`<t?HKL_|bvepo4H-ajMJj&iA6Q7kyR&Ew7(0I+3lzE)GlMNnd~<cwuO+K*7w
zLov7mj5<&on{yp}-(T<v{G{II?X1X!kPc%bb<{_8t5C7`A<yD#@xjLmN$m59@PtXZ
zu+Ec7B&!DdeGzr093Bb`Wn}NCH!odj{9sQEB3O9@nE(UJdW3_{w*$_nZ_h;+OvCa&
zbHD%Ospc{v>8jg2F^Z5lyw62=MW+tBrfSx@4DdD%OdfM`_1CNoIP*3PoUm@~)AJyo
z$mpH(#zv1AOv;Ev)kY+|r<1iPd$z?ws#NO_ZQs8&>vxS^B)bsdccQH9k;XyNZE|1y
zn2OQo_t3sjsp>x!XHT}9@df-Kx`(sx_U+p&8FK(`gPfea>;?&I4YY{1O>CGN85l$t
z7Z-Qynhv{jfaBd$r65YST-TAQ0gck*_3)OQQ*rl<{_c#vjlX21)(Miu;n=n|ZV=|F
zHa-1(i85cqP8|;IZ#Hpv*Nb{TYV<6q%fiWud7URQ`okLwETYc5_RX>-9g>U|9TFMG
z)bpZDyt77OLzAeTD-zgq^0sG!R&*3T>xy9Nj?j2%0w8J=68~(;fzztBP*7#Tdj|*l
zQE0;OE&s#PWxHPe@~n+iyJLLB$O(xkYnB~dz$219=ggRUg+ELmN-c*7IGpGzrVsoE
zOe>M{JWfyd`*Xqbo`l0<yNu%(93;`J*ve+yq_>Tg)GzPJakbpHJ;L%n&LU~UgptIw
zIHbqVbL(#~{bMxS8uYiL_|78md<Ad>dEdVi0y$0v0^r4_K$@145)41R0)SYtcKx5;
zRDCTIkG(#y;oN<QM-39xgSswnj<4{=dKBE+hg#Qd>TNIii){O(3T{*Y-~ARXw)j`x
z3h$uF7>4lzSDShGU<M^X+gUDvRMTX}qLRbtI>0-=EVjJVX<tlzS~SFCk!F-kyds0J
ztn=^DkA6UY&*?HnQ^*USkqVKon|nCmjk@EPsme4Ut-N`<m3iX<3{areJ^$j7ccnkP
zRJs2+7?Qe7XZN5ZK0BL(?(`AwTlJ-Tz<4gW>RISN`d|wDuM2qUc;bx#U+ES%@waGF
zD<8M<tjGZx99BOkUfQJDL3+Fn{lKSNtn`c`^D&(+LeFLA_*_^MKbfLw*JWMEf3@Zq
zKN19?injgF?j#F1m%aRF5@9mr=0q^mvIT`N_^i{-Hu{hOf4W|W&~C^BR#UuUkXm<F
zmkZFb&O|;mIEVsRTL6sjQsr>k4ddF7r6+Y6S4SA#{86(fY6MikFK@=xC#c!K=1H~G
zZyg|+OHx#~l?+^SZCq&F-Q9uAlw`}ob?2MnV@(2Ezw~$T8MEh7eT6<E0i)J`cZgJC
z)sK_ARm)b1rcj7OdMvXRV@PS33u?O=^xpE-A^e9cp8JOjWT?+a!xba_M3XL0AL6v-
z1)|p#n&cl4wV*qVRlx~Ep~hfRp%a3Srg`C)6@<JW0I+im{=VB@en-Rb3**<FmOiR|
z4<N0(LV=3o;V19s3rCcxblo>HnqjHD=wA9$Tr4l#!XNXksyfb#X2bUpbU8?T1mAdZ
z&x%fdvS-<3Wz3?8H$4#b0CUxl0g<ZPPK|ML#SDTPbR*?Bd9^|Co?p32hpuGek<E8@
zKTfQ=a*m7;WoDyKRT;2-O8%|LkNiFmjamCsl@5T+TIU+P;&^;_W<_4;=upkTY8L`$
z8iyFtrlzL8eE*L8C>y!Aw<KG60V89L1-xitA?-X&X_=Xs=#62f{{AS%LQr%C5Rab(
z$n8_)Nc}5B^|bf)w7@7=G?E_P4edMT8JXHNR!i;hMLeh-p5v^YFlmaOpEo(kLb+R8
zGe2OEj0KWhOqA|E(Y;k8h=6lJz#bC$`}eD6hsO7r@86f%4$+Tl;C25;5$R(#Tj4le
zHXyCo7k|)bMBPe{=DgB<Gli)oV%giw(YK1Rqor^Z=IZ0SpCjDf!F)x0`{2HKLJvy6
zj#;WwuR_mN7=J;cxmykzLlC7g17t4nEl){BvfeG*TIx$)ZF!JAh*om=o~#d-oTtJe
z=gxBro7BwFi8-j2YE47|Gx^!a*l1gXnE&nkN?FAGHOweIA&Bp8CLTOS^J4Yn&-(;}
zGukK%PMKYc7iE>7+VoTqH0m%7S1}a4glYV&Zc?Kv`T^}b+~vSerPmK&^Mb;Co~nng
zw`T<+0a(EgyOBK1MYu~AI{sfS=39`zuixyMg#~9Q3*|>u>373zgoK1$FHv(|3j)}W
zgUp_negF2YW2(~jnVhSJ1{{W9-as;Z=u?yw7mo$dDWHi`Q=vR=q&Z%7Eb6n_vqVAK
z2TW2@3ytdKCzV5z9pU&C{q71l06)J}`)MEmcaJM`tbPlWv@db!mfWOYS}z(QaMHxg
z&9cCfjt$G>NcZS5P_Mq!`m7*RLS4>7{Qw}2=F;$=-xUX=S+5>*AcZg;sKvsU_`2Tf
zE*1%lqVv54P|`)KJ!kP+oGF#;yM;7KT9{>lOU<X_ePHzh&AHfU8ud&|eb*WyFJHxk
z*e>43+NlenU)znm=VB;k$vK8w#FAT4t!Nd}hOb+`{M+opQSHT~2*_(pS8E|<HVyLE
zRZP+r7rQcOT`O}2H<#ZmFP2Kb@mN00zC6J!M674!tHdou1f^h5svHdkxQQpUDvRdR
zdLeNgTBB_4eYovHt`e%@KEfUzmF6nAC0Sm+hcn*%${_!r115aZn~b7)ss;BQoiluX
ziyEMJG>Q;pAYx4({YlMA7w}bdT1VG`jQI1t`O|_%Eb&G`uNQ)@11bj?E;ke>Yn^ka
z#sR>O3mPRqi*UVtezGeBV4)(|kM{+f&JTZ&7R1G3s^!dTvPs%g^#%fm#WKbzffjgS
zpM3~54b2T3czj9FE?G;P$s`g?s$FH{$A;H(JZ-OlTd353v^!fDN+fmh6T?$^ZDrxO
zu6#LqW8>Gv)&QHy?;D6Z8-c@R#eL5qU!RMESBlt;2B925HWZ}Zx{WcGRL%yQhDWZS
z-{<jM?XNOnhBIzsF1KG^IPaQtnXTUvRbUw&k&4dxKtzw`0JJJ7_6660=q0I^zd{m+
zD8y3&79%00c%nvQ(TnT!ATWAFQy~6bRvW%`=?5+^xW3LHft9~ayyUm8lz#rrL|<dT
zUYE_IyaV|7qvkJhd&}u3X}LP5ox#Ha6y=JwB)dUT;hK`ON8L-WeDCZ;Sdxb1{?>H}
zP<c7RV*F3`blIDmEzTy5vn~0U;BfPE+--cMwtWr|%E5-RHV;|9S}L1uXZQ@z@>}_Q
z(@}dx+J&(j{h}CZq%q4-{^jkaFsjv=U%#wzjPSbE(z}&R@oHlCt)K9PJ8|VECtIFb
zewTGNSCAYv$pf&VjYB7PhSKI)iOAv@u&bY6!z&`Dh*w^1GSZozlz`;Tg35R!t{U`=
z`RwmMbPor+@h-)?{1cM8{1)ez;?qd2c3{pk7V1;178RJfA~Ot`-_3p~J;X)QqrMVt
z9j*gq?+3CyS$cz8MGAebY&He!drCN{>)p_AUGb=@MqrQE!@<mHw57?oT3#_G|19D4
z$APoZf3VyS?l%OG0$jse+I;j#K6%o49jl4&AD=o@cfRj?yB?Ihs6HqSkPK+mVbnPw
zd%VQY&#GKx=3SUXL}I-+3zY`cfG%u|Ss?`REtPGBR2cuOH@2ltz4h8f|9?CR|7TuS
zoO*LF$7`zcSnOmo#47}8v9~^dvIbYe`|RJ3;{>w!%_I)k-?wPk%0>#)q@1ATr<<ad
zVMHWRK#=w6u4Qy{tje08u-04a7ko(DnmBSwfQZo*2<G7Ele?{rYa`*{4y5%-YBDt8
z^xXh)y(%(~d*(-{C&<4}qC~duzQHTa*n+oet{Hg(NDBjF9_kEo5Oj-3BK^0Q8due-
z*$X#USM<aiSLCksz9HApLuWPJ*(w~51?Oqw$~8i=Is9<9XC=eV9ZLOo6$w~;=)x-w
zlX_M?rV^ODOM*rv!&9e(n+>Tthy59%{neQ+qPuLv1emyc-Jn3DRimd11^pqx@_Oz<
z$HLWdG^7@P*)AY_QX6{h?f7_9YEz;0tk{<RypDJC=*^6a0x}l2K$CWV1?AHFik3Zq
zq{BS`Q?+hvv=w-dNO336J?~lS86oL!VUuES<GdISWaT8|@({awbUB~dL<Ka?^5t)6
z@!e<y;VWxCtjr;z%o(`1GkzXSr2J#L+~K%0@#)1vtNsxmpuOLw6(&+N$#|klIxXr$
za$bJi>ve7e9T%SLxon{l*$NYsXojC=k@YR_ZsX94eTTz$EjKG$MuoS=t|XhUIUi{F
z&H0+H&%ke;)aiI!8$xP!jZV<VbG3cHrw%5szmdY&eV^lg{(d_kgnj&_t}c!FJD^JE
z1zwMT_Ha#==?5jX;8gHdB`62iH5;H*G1WYeEf5yt<Fk;{Qy|b@{OqD8otiiRiUypb
z{g!y0AovvdIPye4a+RTfqV6{00n#*juqwq&if`hhQvbS9e8`i{+PqBt+&ArAN2git
zTpgkl-&``sJ-?s&I;w8YiQ@?8=oi=RoDWnwkAGuMm0KlELGapjFi?odPZBO(CgSYG
z59UAGkSUTQ=wrm2J8+Fv-mfqIEi4%|pcH0{1L(lsP2e!g@W3d?a&{Y*ZsOFp-Ejdr
z$Vo%}*jmGSlFW>b?Hy?&r_HwEdOmcT@zoqdfy`wk7f$g|{n1qI+W6*X#W3p&m5<)8
z8&HKW6nB2OmYj*X#CQQJosTn-aXS+X8qaEJM^zX1XUo{GX90d0u9&!M8W~fdx;*(r
zr*i{o5!&!tYW7Y_9&JNnf}Ob{-{a`_Mm^*~C_8shQO?Wz^+EXPV?&pBf~`8$8V+nG
zZza;t!%UoW(uyxH8;`Ho7|Y!aEVkWqG7aEwu6G+RbL)n_yOz1LZO!HwoKH_*kI(uB
ztS3#0NUS&4u*_YH*|${IUhLQ|QI;LI_()$n*kh0L1~Q$T0w1$rD)@1}?W^UdKwqu1
zA7<}k`MVF_ahN>V=||6kwVGmoT6^rEm%E?I?Nn|(bApF(umU{xFV<mPoGfgT{1s`7
zljH_sd%WTLTqh8F{J<VI)N{%;w=8#kNt>BE^#Yx{Ge1Pxx!l#4(#Y<(ja$p}*dD`3
z#$ugpo(L3HH{(5J$<h;=Y46?&P2JXbYnecytS4+E^774s^Y!H*{l5F4r7}56IDvCq
zLRu^f>}?Gba(#x&c7IR!7J;whhD#wYy@sXC1uRJFp=`H5=_vZ0+;bMK+*O%Yu2d|y
z?`=+oRmCm<OO=LwY%Sd7tIQ7RZ}lbh6WqY7DPs_h_@uU0RJc+<q@faLGg~^~;ArHG
z-lESNTGrexESRHc{-Rvlfw{u*)DBm`T+o@i1i^4wnVtSVw>7kUXs=E#KbP&?5|ZRf
z`&cv_s>@|{_`_S}QAQHPecyRIW{kbLvqqETo@kPfK-5I;5{2l^JbD#M5u(^&mP;#J
ze@RN4gc%$?te2zK=+I{uA!>AMHm8tQr%p{$TB%ZtRTpHaI6OFQUgdoozRoba&<|^^
z3%o}Oow*`9X|Z1D8g#op5I^(@IIfl0dp6$IZ`tzZYKY~})q)j}#d+UxIkf9XE^%$j
z+LKvjuz8W&_G;Wq>ge9(&cY`#hqz26P^x*3Xc4*lr4%h7aa_u~@yx(@&8y`|%uFJ)
z{&8YD;kS~KE}|fe>|b6+`{B}OvtBYiNt-ZkF`1bNz)G`pQ+)rD1f;2-Q=L41FPMS!
z3~!;)XB2}|nR7$Jm3NR{=_O;3;yQL~@Xrq6m$FNJYcFAAtYHvY>P}Y^yt&txacO0$
zXKJ%lA^vK;)B4oh1m3>QcmL5Hck;_TJ)$3(rRwqAo0Y9YSlq38LqewZ)$*ItZ}}3l
zs6Pw}##A&uX-;G67WI1$4qGk3^%+Xc?RqgA4`&_0%%vMmzE869v=BpUzzbZg?e5yT
zZS%nd;%CQ5JbHLJGg6mRj63U}{OH`nSXpCD-|Iq`Ia88>7X$KZZZXr7WZABw^pd=+
ziWN(%23JXY#P9Bv&;=5S?^?c%6C@l7e(@tXU_N=$*oQ!(avLFVdVf~iBvxK=&kRG3
z8pcuRiun1?56@=@Oy#GA{*_9$a71b>qBrn1r4DxtSBSFzH?2rKIsIEp#KV#rjU|;K
zY<^Pd>pebFx(VhfX)IKAVZu8(FC%WP=`e3s35O@wsq3#!jVRkD4}I(WoE+1ZCD-W;
zGM3F9Yd=&wzQi714=^)(dU9<ur@Z--YqN6jQX}y##r-Nkff&ECg&$o6t#6(5=NNPc
z&P!*D(DS7Ych98VI*~eJRXv|-miU!pO}c2CeV)DQI>+l?SM3WldrgXpEHwhLS-E~7
z(oAJ)kyECJ{TTW3>~iED0$_$m6@-R{u8C|jO)lB8kMD!*@$vBXP%+#V0A9`%_j9b(
znkOaN{(h4Nsrq*!%FX<QJ`0JOdB5ik#n~Ni^rXB<O_xQXS(WsIBCaz=o=u)CwQb*`
zVoTOMbH^rFk7P|}rg0FZr&P;#r~>1K?+TMwIRs&kqpe>C(#kZxRIQM;AX_4B)9Vyb
z2bHaq{Ym}O8zv4-ZaC{xKw*5GadHVbABmD6C$k7U@*>};O}Rc^2&KUDx9dj(_-z_;
zIp|>Tfb`f}d*rq(Wkyy<F{Hw8*W{kRg`#U&0f@eqtQ>=)_;t+MEaKPW+KOutxUe7p
zP(5>%^67$kt!&b$N*-e0idn^0HBl&?m4a1L4xkk(<_YmOJc3!XPHWMVUSDm!9$VRx
zNo)b3U&w&tRtIU^i!3>(`XYlPl};sVl&#9mk+|k*E4*x}pWb|a=tApHMd=&neL~mC
zFbB+u-OE2Euo;(UCphaOR&K8)+1Wu>usu8(vzXr$1piK-{l%DzL~1NnW{;-h<)Gnj
z2o{^y@3`k!>Qj{EmOnQ3$0uF9TK8eSBSSv_u-m<VVE=R>M5*>ga^3Z5-TKw~dQNW8
z+==09ijuG8v)AG$>&~};UE<*n&f1EjxuGG+&>`=wLh_Hf*POK+x?^UW4Y{d>7lZ3p
zwOyUjkH=DKKv+BO^e3mM3sFErCm_-$HijT^S%5+%P~d8cu3G;0WQwFhZ={kTedi>v
z!E>IBnQx`dualZMy>^N35=CVp9LH5Ptei4;d6U+5uXc9-YC-h;y|gXj>_7J-tC)8T
zW|rNrTEQ+{-6AnZ>6_wQ2sgSwUhRa>xQ>@RmY;ae`#twMUO#Le>{a=acA8V&|9Wkf
zex@fB=Z-t4Sj?^bND=ys7l|fQ2A<@>pXA`K*O6`=Ym};&F-TEtAo-lLo5ap)hy$I7
zU0JSJ+BT<gTbbmgS6!Bhi(+9R#~RGK_2Ysu3|rkh?ayScCn~(2D|WEoQo0d#jW*$S
z>+lhtuev9KMFQckVJ4~uXf0~weY?DYSHBxtrtrc|81_jXthaBTwC{X^KjvxXiE8ss
z!+=a>miz?<5zXO^KrKL}DiT|sv_F71TIhq~zW%Mt#F&jl=<~fS3}^vZMLR1i=fmsZ
ztHDPSEan)nQG<KTN+nC;nQJ+w&BS{p<cT;I@4;YF-x-*`vLx31?U9qjP#dN6pj@l?
z(9a5Y+&%wy>uFGe_OcK<&j-QTbK0Ac;GoEj)9XPR{Mbipls|#MeeLd)<-A1uLC|aN
z@$4zF<j%oOfj2xmemh?D=Mx5o(>`*wFX8OO?$=T!S|y6yfTXAWVI^%0Xk~mxTFayu
zzt{;QQy^Gt4Y>G##BpZ`y5Qw9X|(GcqcHJa%D5{iKMCLy`O%6b6Qw}BT8(XQgdyYp
zCW1iTF6W7M|L636?&nttgHZ9hwG_%6J#EUh$k-#z3+tKF<xDYfWf`GSWP24eX=PwZ
zx3xZNZe;?I7Z_>Nd@Ky__x+Cv)T|l@>N@$A^}wfj0w(lWR#<zhJ4lG8<2=9}ldYzm
zkB?v_`_5uem?zA!o6EMJZ<Ms~&{jFALAHUHEwR(t#4**<6z9Y*@}~e_Fw~TUR+VDB
zc>A~i^8GzO8-5DaEo&=R#~u2WUc{-wk=L+jAd&8w)Vog4G+wT}t?DZ{Qpk_s`yIvM
z7ajyUQ%8Hk#Va+N{vs$|tqJ;`aNAvd#N$lBq$$&Q<leax809@97F8YfQhbCxv4>Ro
zdJhjQG#~oSAPKdd>Yn?xfbe0I&_UotjUxe8;MLJRR9D%2vEkI#0#;_q%uDCAz@6GN
z`mtk<;9q1v-QWJ=pN$r97(2NFK0TSw7-f>fv!l%}vXoL@Ub<2TeN!`#T}JB;z&X1K
z8TGqWMS72ap}_w5v=7I}Yj<7%%t<z;Rc!t7QJ-VE%S>#EwFlw)+}xa<v$Ig*OTgdH
z$3ILrvE*(7TjDeX`2oFt6_Yl;j}Ii86%sQx%Lr##!cl6B?{$whTKeSziz7Gre?-FT
zW_=ZW665IE`b!qHf{H`K1QxWi7nZWCB@a3iOd{alaES9Y!%Wp1kT3Io?vmQyZ@{z`
z42zLSAGAVCqLpSvfrqe~TIb3w>WVpG6Vv#6bGI?@T6!=jF5li8n?cCy(agH^GcE7P
z-SG8=fXzzhf!v^&oO$frQ6kfyaFm&dO66B#7u8QC>7Qol&uE*H=P2KA%MN)o^!vGf
z*t;{fzAbD1;f32kz^~ow--dcIUgURP`SB2_526f&EB4JOG%OUAnMf_<0j7+cn=kDv
zlG<P_#9h<m^?VnN`1V9yyi7f9;fj^P9705t#r8>D6q_D?y+QXhN!hW)`uKA7H)H$h
zEu7*2r|qCkp$Qx3+8Sp^T&tby>LM-ssmH*pL43wOF7*3|r{nsc`x~e8f2f>RsRj4>
zcQI&qkiUvq6BpSwlw!aqO&Q(}T*U$WMI5dwZ)&Zi)(dM7E+%L8Kg~zuhAbiJ*qhA(
z=PrPbyUgSuKgZ?nULYA=4)iPXlC*;C*#)(~6yRR`F3bhM2K{nR_?79A^W)<$nRfPN
z<v*rwx?FzKEu|(o0qW3&ft(&i?VoauEh5(WK}C{`+Jo7apasZ!KE@AF_bLgG69Zm5
zIbF5ahoE@n?WRp`f(%tRwHOL7Og58+qfs{;OWYyQT3VlW8gN(_<NBE3`iu{ajPKOd
z<luO3EjcQRE9hTsnkq)@r)}JKd-x3K!y=QHj6_45sgx}|7_rhC1$Z)B8%XuV8HYL~
zDUKiF@CdcMtrd%0N`@FKqZ#Sn!_B;u>HnxgGSX7lRo*THG{%H4G+andZy_-ReUzU}
zU8O(BtvU6x+WZs>(n(@eu|Rwx{7zQ;Q)njmlhFn4IUeB9GN};kjg2!c%`uosP}r{o
zBk6mBD;r62Bv_ZAUj=K(iqMfttX+$^+d#DwPEr7%*PL>oc>=BSV00ot=R;@=gRsKm
zgHYSAHGhP3O3&bL?vcT<#Jz@ZcG;{{uSRrZ(s?e{eFM)2Sb--8wReXuy&rtBwk5gQ
zVyjyicDE~YuBCv{(n3AXmuKjPT(5TRbpw0HSDQ&wRGfu7KQ4zB{9k_9@;&kg@^1H-
zIYE<8quW7YuMTeFfz(6lntGp`aOCxKda@(~s6p23po34x`gaA>s`KEdt37OHHgEj*
z7K4j&EuMVjO-h>q==$fVPg50N&CU_C)%FwpM4N!}NZpo3()(hqj&M^hlXVf)L?zK5
zWl<vQM_6--K`#Tq$kV*biw_kGps(!U(U8#XygPRtc@Yn0oE$B`dlp1@+RMAykLR<(
z4BcD4>wL>Sf+X(0qeZDLL03FK$bn-_f1IH7nu&n89ocYL)Q}sLB2k!Kt4ms0Q#XyG
z)81OdZkMJj1!zR<Bo#Jz50_Y#-$T57!~es=@^Cl$zJov_kSrQMkqk#Ah}~P&uNF?Y
zu8^agP#URcyUU#CZB)#<W-$uPo4Xd(7}ikW2;tSR9_FhSn&&HI?L_#jBnx)j=I*dU
zH#Va9+2@GYohEsQAB<j75G|ukAc}s8@er%`@+x`JWF2#WEBX;#X5>JwW70BbQK$X1
z@Bab~GQhmtqz2u;1QrrrBG`d%^}1k|lV<#jt;F?0S;X&%@$9$JotyFA+RkQ7@+jM@
z@LZ}jHR%+KBI}0M^&2Z=2>TuVGh%JK>dxmZ-}1d1lA<VbZfOZPJ2*TcY3AhQRM@iy
zajO<V63i>=0W?=;n72_5it~;^O$IjKWi-&oWRKSwYgbZS{AAORRWEClFEsp~`Eg`B
z-%Ni!P&*SdJw45>-b2~u_h*cKl*N}zTWzgZ%<=KYX#W?>oYr!^86J&8_>G3WC_?<<
zY5ybTQe30+4io;S#{i8oz~VEL4B8neKg)_)t~DM_2b{Mpl6oP3B7EPaRbvk{B~9AX
zdo|p1ZLq%;Y0o^I-hD~y`!RF&0nYwK_@c)LC9Z-&T4@unU~glwpAx@V#>waq0{fDU
z`*VKvTahU13yC^mbe>T^ZpN;M!kR%&_vVlVZ$<iW8xS<J$)lugVxovKrib|MfU}eC
z_SPv_d@;U=4&n@PqY}Tj@YZ(e4WhGjawk>Ext2n((BDMOidPCo6<%shesFBrXVqK^
z|0lG{UTrZ$9>sb;8>IPtV;Y}=YY`}YXZf0H@jFMt?`cCgkeLxcuYO+qQBTRMmTMN>
z0xJAI<0w+=)KqJ-z7KdR3@g91YCG6K__tY$tvO4!7#0dO`*AJDhd63tacahwEMsmv
z9{{+3Rsb8Ix8~P)8FO^-^6ly@o|B{L`d<^`5laHQgnkHG^)nWtvoXC{_PW{qZaQo^
zfFxE7$yC#6DJxot%^EL1jQ(&(cg9zfc2MDsc?k(@;*1M+w9_))l7Z`jGp$KlOw5RB
z_%b*jZYY}z_?_;+Y~V43^3-0DB{08o*)AKrZq*^GkCT6}IHBa-?rUFa=8eDAja}*;
z38JCLv_Kt8NwQM>5qSC{5d+cyXR9%eQ}YcY%l&d6&HGTqho~Sn<J&8Di}iH3mL4vD
zj^I3=6F)^&ch6*%_b)sDcK_#OoSIaxMycO0lkF{^XnHN;`P%^~$ne$XQ+&MWuH@uo
z1w?h8-S3BL*GA(V)|A1Gqzs&@nCd?R4jsw#+GVR1ea1O&T<E6lpc9*+U>>GuksI(H
zkPc+Ve)o+{_LMnsZWue)yA9i~au&f)-WK|svIIWJ#9TWf^e~K=jV;pMg&^Ca^q}|B
z^I~}EE`S^Cn@-)RPVp^qoTJ4dSNt%y#v_SjL_aE^a4nDOI*BOF1DK4y1@$iWdle7^
zH8YDq5Ww>2Ia<x^^fUpWj~H-!Rn~1@WxDh)TrC8GaE&cya=;F51AUCDvLG2+T~Q(;
z&CZSHl$UzWzwGkssGWohD<EcjDrr%@F)exD#8<lbG1#4tB3Iw}X)3!w-&3Gh`~PU;
z|8*+20@wf^mDqNdLWukM<!%tX4X{*P1Wze(d`*SFLbuu(<F$d}sbJ^xe!FN+ZOThk
z`>5T3T|W*|*mqw(NABVY;UR~ZBj2?O{{`QxPuAbx2oD)?9k{OXjW73~eDC((C35UA
z`0wIdmv1GFcJD02q*UB8NqXfi8C+X$vv&~BZp2{H+8RPjmMl3bPaFe)SQR^x5pxn@
z(e2_On|nukCyk!-HIqAO6jb6582+^TX{C%l(w4X|mhNX&<gNJ`KO?K<FS*A7I<t4F
zN0}}ft=5){X%y2s#1!&*&ggQRlrm6%YjTqh*VS7A!@jw-^lt&K0*g)y#S%y<8N>2q
zK26jd1%6s07c|z>VrlvM-p-l(9_=}kH#4aSbDqoLnOIi=SY#IFy=$$U;C0KyXTg0#
zKzRShL@A9y<v)gSk3w4k;trQaz5`2)Wf)I#)o@bV<BUAE{MU8RI~I7KK(N!SaWelw
zISxRs97DhUQ5jVV=RU_A6jn32*Y$U67)Tym-u!s^U;C#Zw!(3el#_^h<%_$<7?U@+
z^yMECLWKgQAdg*VgP*Fypdh&yNwJr*>(GjJSxlSxSxMg=;e#}LU?#%B)Viy2WoglH
zwij5Q+S3jj(M8)C0X230@#h`2ygbaxAV&%w;klT{<%M5*9iIlwOTJJdZH(i*aDY0x
zvZE%}j%n=g+rA1__FiWzp%|{EFDhardArLrA9#P5yw{i*2A+Ro3Wnz^JrE}@-DUr@
zZkrH)CeO1Yz0$S2a$pr{J47Xn_YK)MSzT^C`u%@-hh@vSP(z4K7>|U{?>qf+9<iW7
z=vw4l65^>Ut~v<L{-9D%hA-TPrQWb4MRrZ_@V}Y5Vks;#TJ}tKLWD~*_z^ki)k?!Q
zLUiXT-wx8qi5}?Nou{FbGu|bL|0S=LT<N`}8IC$ykP@@Re?<}%3I^>8jLwJ1_7IV`
zF=}-XDL9*3n1iyDz0i_(_pU2XOr+hcY*W`@xJ2Liz<hj6)h~Ziv%MpS#1w<4=B$ML
zCLC;h9grRA+mhe6XWk!4?lf;r$8V<(L}%pGWPcQhv`RLHR<NnygYXQPtzLiUm))Fn
zcec8v|EN_akF-Z^vE@@?q)SWS<-y+5G4%4f6y+&?<Lp_0Fd@ZPT1HMj!~Q?(18e@&
zI<aB#NsG8@^E?F6jp3h_^}yRa{5dl68Y_j)zp=d<ucNgdHtxwJPRX%W^#1-pCemTy
zeaSPm#naFznuBcsna{fP5tVeVNRxSri;MOD$ok5#DD)>>MNk^41*D{F=~_A@lx~(T
z3F+>JC3Z;_=~n5M?pRt71nKUS1?jr$@tk}A=iHC%^YCG3XWp54XWrk?JVy-=e)<#z
z`G;u2%TiR+4GJ9;7kYxRk>y%PJ%$Ht_<EN3B~wX~hCU{(y7;i9e6Uc|WOZ>)I^Umv
zo%Tg#-F(Sk?VC(2VSm0Bt3!RYMR4JD>+Zs_QI%rtDFXA#R7gRb>sld3J;PIp_r^u&
zG=BUL`8?+&<0TF$24#*?byP(pPZC>$NY}XDkw)@cJx@beIIlb|{p|GxG!NL8n%3@n
ziMe^F!5k<GIXG0E8ZI>_lr>M{E~RD3h+L9!+(zLcS+WcfNgrVm(Ay?3ZtWjo+uK-D
z9p>eb+fp~o`hIOFUgd4|2Iw_CA2f6v_vicm&zCn1K&5&~uVcizGPUCD&jRy4`27BX
zsDwnt8vXdrmk}<VpKL2&Syg6ruu#IJ#hX8ts}w^AlL_LxgMXRYJ!|D6#^N$c>y4MU
zD0IE#(&IaVMbo#>=^n)b2-8}1!uJP>8^z94<r+^hw8Rw@m=`tu-plTFMSaqBc0&+w
z4Ex7DlvDpTY82e$v~zXCFyWV8RkQiLDO6;o>Qcb#i4W~|A-Zsgwv@2<3of@%Df|?C
z!p5;7qL4|d4?mm6!!{u943A5sy)L6m`c*Yho#uw9&FuoK)q$KMpC*;WJ}~~@U-_SJ
zec_Ax<A$U!%tI?Wwh&mhO0T8fOfKlSJW-^Xl9@S~3RmFLaWqE?eoVQdHaD%@y}a`4
z>vj8-naA|f{@Bkx07XA;mAV8zJa-kAl48&k|0K_O1Dk%i2Mo9ne8im*4LI6jr=q}W
z{?=cJnJ()Jt-l*vz@;ng?~yEPrZV%&^u(!u;<r-W$WpP%^~LprIYQPj^BP5^gxq2*
z{pA;bdDx&zcUf|M$`FZ&)+XZf7j3ht^`nj-9_W{2Y|K0nc~6b<Xbp4F4XLtqq7-GJ
z{p!&E+n3q5wSdsr&y*Wr%-W1JR>;*lboeuc%1q(Ee|7J1^il)*@}8Gkl0YDE`S)5$
zquUmj_{f~Z4u#Gb(TX#e^X=#sH!p8K69YYRfqLy*?h6}x`<r~jHHB;*lHU=79#Zx~
z@|CSZq=q@ShY5vaVb}e{PT%NNA6If!hn`X7mw{Mbprau1(5k;O=910vD!2^GnC)a|
z^2)&4>oxscO7P%8*~_9q?i+=<>=ns%p_nr4m78H}kk~0rZ@#Xx=Xl)A1)oY>VDOnK
zwdchC3ojcIiO6*C5Z|&CJ1(b&VgRETu>wr<3VW=I5H70F!m9}Dg;3BjZ6-7xvn=$4
zRaQR8s%<3k#2nsq#yWwuGBapg-OTnzYDIAT$00fZG?k8t4Lpt;%sQ7{`T6-5$UPeO
ziSR)-M;jYSW#w1^G%2SPbCR8tb8mx@iOJ>a*PF~&rStIOi_G0E$CbuvoK&obzagRH
z2Te}6@oDA)@!6Wl0zW8VL-@*CSIu&@?6~up42%k!{n6B_5O5Q!rcNwxmjPsElt%mz
zf~t<Zv<HYhYhm}@EnbYy5sAsEiAW?A11o*yid*FoPrt(Oj4<w%zA||E+Pv^Y;7vhQ
z-)3YL3;bX(S@HdId%j;CP0nh4Dn!X7%(%SqDLz905{pJ=THY<JPyPV-1%d2pNykQZ
z$B$de_p7iBYFX}X-={ttR?zo&#jdOs#Ch2nFWCKP|7#VC-{;S&ps8wO1W1j6KI&qt
zpP+Hjt;fXF)ZY9G^r!?CjlXC^{BoV}*ZKL{DjWv#+$Tk9TBy1?1{wbVtLYkgifOIh
zm_DJjiP3|tzRzaQS}}FG(d+`Sss->|cTg6|V(s=^>cCwm9*&?X8P%v7@3pvyUs{Z&
z{4-Srn_Rvx{Pcz$F{}&3;RP1$YqHpc00KpCr=w(VukEdE?ET)cUR~$+vPW7W%_3A@
zr$t%^2=7H@fhYC{*Jc`!10@DIg%(KHyfx7I{8`MEc#7Wk$VXQg%Tp4o#|c|T`tTII
z#sLH7k$BqEo%qCx!_eAupA-XqkRx=kNqeMx(Erpj72~g8_U}CL7lO2fcD#V~C|qcB
z6R?VR{X9o1Ry4P8mMXZ6ko#OC96FAxMMW$?cJ?<@2;CUfMF7fQ;leJHW3Kh9k;1#K
z8I7<8c5w?aU{;QK{<_vQ$eQ{yRA65J<?4$?bm}1@uoe(<7);47PTq9mIl#Io-FNbe
z4BEtXz-8!rJX7*(-nQz^!1?ZtPYefMzS<yNRy3VKe}|b%ZnLkT>tzf_ILT}7mcB*c
z<CvFEoR4r)?1Z<O?~*Goz|$ipI5k5iBa|bSYB_2d<e;$mZ+f_6F{{VG>h3KwWBu?{
zl{G%tMUuW}2LafFNYh(@6nRkb*I{3rvH<gc{Ue{|w|}@2Ah+G=-@Q6OFE1~TFe9Di
z_pit;w!uhxQ99qv+6+p3x!r)7WCm3JlW^-u9*Ur?<cqPBnt(eE1Q`=jOoE3TW#x6T
zXdmJ^0`?n{I9Gpwu_ee1r7UU*?;V<{C2R$An+MBJ*$~2x6&7ujazlQ}U&2~vwPAFp
zoOvBFCcJ3tC7bWKl-wInczrC-_zWXR)~aYep1j&G6N(5s9o^Yx^LW@o%OQcAqzzXD
zr+anHP83udHoUT8wBvPyk11`5_c>wwc!L15o1~C$@UTXNt{!ds&|lv_a#gPAYP%-)
z&ny~Rv`sk+csHbZVf9dS<K>Ucz@nuCXFkiAKl$)~DhcF0T6O}qskpg=i0+kdKHUny
zIxy?T>pO1}Okhu5b@ZgG0_mA=tM6T(;vn1K*>n;EoRU2I^p}~nCcAHU%SH0Q^U*i1
z+kiH|p6L6#N!*My#Wki!iliUkfm%~~IaxG{f*9JCcHtvAFJj^hZl61KBT^>{Y_(0w
zTqBN@zS~X1NujA1Adcaz9umTztK&D+&Q^niH~V|;BwGmspK2uyKj!Ffpyw6%a$@l<
z-k%Rgn6Ee$RR>=eVC|CC9&q`g7``9caC6?j2bfQ((D)$mxR^E*soO)$KZJ4xMHX#f
z4!KoM@Y#7)m7P3Q!X1skH4rBJ%gz5^uq+SI{q~Pkln__E$Zj*_9RL+;96^458Y0Y{
zP<P@^uu$B|rKr|$4|1civZ0}H>co5SzBA8IB<W_A39n*5@psNz9-z-rj-RO4w?*-;
ztsrh6UFQ<1k6OZwS$!h1i?DBqM-Z?w)rM!+1ZP4s8fp`IB{YaMh2R*%!gHh&EA@J&
zYuDr99dd+~DcIrQeih|1Z6mcjmn5;C(FI(ko=EQOj7`2FERt-xL>P_ka1MM4Cw>7h
zy9~;)9twzMZ|Yc(i+2pTEyA{dDO)lpr+;cngdc3jjBKuy?S)qHh1_(ZV#0XcpSiX1
z$%Zt1kai)b>>C;uI*gb(m^xgou4x#5Hw^h-==cj3Em8IW(QJ9;1krYOc4PDNrC5^z
z$VE<lbe)-Q<gTc5qoFTWk(L5hH&Pg&_Rf{+{PeVQ$9<6duSyj?#6dxl{JGHC%OsMe
znWZp9BSQvt=Hqc8e*sWfHy!Wv0!62Z$3<-w?~urj>IkDt05@btiOK}{@klQJ38$d<
zx5HX)I-T%Uhb#5z<8I{if6#26Y8iqR#57L%$`DCW;mHR<RQrOUi5IU*Ut1?~u5*)T
zhc7sHn0X*pAvk@{OeSe-T**qXW@n39X8c-wA&l1NdEd@4=RNo<<*gG$&vD1M0wG<~
ze#~$$n(VK(ogg;^C0Lrh@~00DZm$}1Cs^dIHeaM;$yQd@fKS6rq;4JOzp+IC*6|3|
zGl*a68jd{kUHh$sqDKM!5V;5K)pkPp`;~4ado5gWF<Wb=57G&B<w&+rPx_MeBuonV
z^vZ)sJnD$it?$=Bj@7Tizp9P?%F9!9IrNP2-{Xwf@qY<$-A}AZ^V2b1F>N76AnE9S
znKtN85Ul{}E?i!5D?}4v4NDB%4aA$-qrnqzFhte@{@I!MjA?gaBgS{K;-$99&*}bI
zFLbSNqmmg+{vs4FKil|@QJd&|kBa3V<`U%`8QrywH4RnXvWf+RV*9n%%XL@Z_J2x#
zPLK<$M-vyJqZVk^F8@~e61(?him24)(;9I03`+hRyyNddu{YbY>v9~l68sOWY;$^G
zg3QM&^YqCx5A9x%C^_EY=5sj~z4<iMU|Vyp@L#iqcQ6uG-W)959q>|g*Mkre)b57s
z)Hp@7XDZ6dQbG~h<<7|Friy?yxuLDiSR^dT4)h{KlK2ZuF5frn)4NX^UmTa(0=&;=
ztdW=1i(vD&V-f2R4}7)N>)~N+E%!+1<<rgpql>!RuHB0gH+9OOW}}54oCj}cpT_rj
zypL~M{tS(9lq*4R6aZ8i#4vH!G=ypi!;-u)-7=^hog_6qh*3PTW^X<DeC?f|S$*_=
z=)$1cbGpH&0<^*(0xZ|2UAAerS7-}+8t(-0o;irvYu@^ma4Z%FMQ$8sJP|W*`jY91
zHPuA^jcQ+3Q=1$}6c1y5ZnW%_JdDX3!&H@$2626=$~)?9+DJ`RLQSKKQw;%1<jIzI
zo44MW$c6`g!?&Ms#Rz=z`W=RGx=YvKYKN86Q@M|skR#8I{nsB!?4+J&N6g65%p4-u
z{$w4u-CkecKm3#tvN}lNx^@e+?_<VF@>1#q^Ao~1UGc?)9trM(9o!|7R>yX|vabXs
z7Z#Wfc4%_UZzh7Qi<Sa+uT28)CB*uS4~lN?f|}ya7yO!u1Mio_7=7-%(F>oMC|GM&
zl^3@q`=3it9U54&Dd=kVncNDRFx0N7#~y?vp`GHrC5V=|zi~r$AQnjWSU*F9TIG~R
z8^zhcfP7*($@!C~<gJaiNRForT&d6pE_GAr`SObRFCY%-Q|uTHdUEz<V$JW`_vn6D
zo||7hOqDsu(uXP9cJ~l@`*vkPN<^QG-KFIRBpXi_F;_)urON~2&-|v#oD_C3_tiL@
znN^VxB|f5qTCr(zM7U+*_;DOxOL+7)mx^*=6yaJs{OiW3v+vt>3vAAy(ZZ5#9r_dQ
z16Idhb-5y6{Jx{E&e?k(E_`s+WxrrdC#)Ok=6dG45_892JtdLf>>Vt7VBe2pB6+r1
zk<jXk@_DR;DEuokhtimbKN%p1ztrKn!5A-Tb*^=B@xACD?EByB!g$m{Th-*6OQER1
zTwYRg{njpb^);C70b6pIuTi<P=nVDq8Ij+?AN=;+tZf+R$3l!rc5__ffY4DLfnj<|
z-{KkLg^?%wXCa`K72cy!IjzN#Xu_i*eACoK!U85jcZUz)m%zw?NtKBPY(B0)Y2vzf
zjHpzUAq1420Mv|0^qgn-s&w-LoV15>*g#PjV){9w1)V$b=t|56;V>hTRQ_Bk;xEH#
zT@OmgubF<$V}}5x#?oX(+a|lziiAG%%8aY`c3-m|C6=n^(d86stt?~#kM>cKy3x5~
z&zbT43>|BLRS||U569EBi^iL~KZNWUa9!FZWRr!|o;;6Hd$h(}Z0g!z_8CjBWIf)U
z>7(0U-}Zl6J%RM!II6I({ljwuUB`{#85>Ol?c<V{&|2ljs7XJs_VN$v0Y&GslE#Wk
zRDX3ab({~wP@EMTFq_kCUEHi5>RIIkI(v}vKcsG}Dj+nrBGJ7|t<-ofE-hF!{zXfw
zIml?8dXuQVJ7cw;1<-8?Z_mrWkUtO??cSI;E@2!vz<MdyCX1m(QL{mc$qQek5)MyN
z1SQ6<&i}H$uvyo=@ZYs2jn3>dbfsuC2Nc;uC9D)G)#*n_PSp0;8MnBqUBeoC3szo#
zKwy1cg2UXIy&iix#;t)fo#(~q=7+mHaMnk$c#R^}L@(HzV5+okXAZA9+Tq*LqL}K&
zG0`J*68?Z9)qBc)kv25DpS*?@7;@}upkmw8tE=ZaJ==r+Fe*K=5C3Dazw+}Q-EY_0
z)roG>DIrFRlt5mG6gPqQ2W4f%VUw=J4;zk~(n_YZ;yw(HYM}l6Asp}IMUVG)!{dh!
zCWhTOG8r#UhNOOC4)j<7I4ZN7MuocMPPa8lD12dsxjwdTCY3;#kUwl0+wT2z$tRxn
zY6Y0jWIoJ#$8TwtbW!|4Tw^VCLBrU|FC=lyks8IzoE&?TutaAA-OOYiWCT}^$-m$=
z%x(`>bTe5#p2zrA({IE>vbHsz3jv=pWh(O6`C&x6Q@t8djcb>uoKY%p!FAAHAd1`R
z56EyhHGGsgE^O`XF=yrVpze^a5_Q*f>7LOII$G7SfKx(8@A%JK0Gn^XJ6u#R9G73b
zzLI!h_U18TGIiZqK&6JEj;`&nqeRTrVP7LjHT!?vj*2kE1J+ZFzJPqtTKx8xCOhep
zQwFh111&)JgC_hyYphxF`EyzqH0Yn&Xf8!kw#{Rv6g1c$-C5*w^D!vJr<*%wn1iO5
z)>E4(At^yePe&-M73f{h^pWvNoSdl5FSzL^(wni@6pCZO#b=f-;vBlmUCoU#k&V5c
zO;9JV>e$qQZ}q|<)iof=T(EM$N<dS;(KjQUim#DX+s^?Sy!xagB&n^+Qa{XjKzgS2
zvp!}YgR7FHNH^n`D~0i`_QMIH1#7+;rGiu$8P0q|eXHvZK5fs1%r6V2*t^S)@_gvp
z8J9gc))Z8aQC0&{NtyYi?Gc-n=T&Bm^0YTZ42h7*ccS<ZbNiN1YmjCC*TI6`b~MSD
zPrieufsKuST=uZKt_GSP-PSc#SBI9DbF|zX51kvx82`<)IK1podMK!|A?2irbH<(T
zZQ~Chk+*hsbETRzCV}&us;cNQ8nYoKH^tD0@Cre{lnn*-6vbOt(Ku|#>QY=U7tzp)
z&n9X6>~il&@C%YoP49-ZZ8&E57kNq312mis8^PQ-ANZ2}{X=8>z(-+<Q;5r+W{^aH
zv^8K(Nq|x)_pt^m@uW%bN6@xF+#ZDmJN?O|Yeo9yfRS6GY@d1xsr(p9O@;o_f#n`s
zmrK;)YA0`h#=Y1Y^XG)@mM9J3!OrhyUkUl#4(luH4j~SGHI?ULNKIdf=XH5q>b3Wj
z+IrD{4TL9Sx`3n}V87LEBbg#Au0=`%$3eTgtMqNQC1e0z%*SEASH+ea0e@U?IuLc1
zj;5upgi<2Dmz%353a=cScHhm+OL2kvAm)zbwKjLTd14a@tt0sIrvfk5RI4C<--Yxu
zw`kE`LLsG|YVWp@*cWCb`Yk$5e7d?f`NkV)G?gx>tgcni+@qOC!IVIElFz);MVUQS
z`?Py}%<+{3kwafg1If7yK%LT_`D~9!!TVDx=IJxN{SHk|_0lDvU>vq#xg@GY;r!vO
z2g5*5YpWIEd`s$M!YQ>BN@?z@Pz`&snW`aXpvpJPVdhi_3#Eh^23JkWwVk<%@O?`B
zr~mQ}m96Ndiu5{=?Y9FT0a5qIoc9E|YTIXv;)VHO_5$dSBKv>H*`sxQ8|*8@RU4Hd
zd3vWo^5Y}bEvKA{+-D+bw0yLSCezxB-TKh(C9AO}%3(HKVc<o!<}YFrXv*i3i+e+*
zwG#;TT`_w+b=~E+!<q$-hyoz|{O9F>1<>z{5UM*mT2LRU)eCvGm~w10kT1>&Lg*vb
zD@s9is?;mK58L!A=Ay#kglj)}D!lRWRSDB>DGRGl&Iw7>@rjdQ2gs19Ia9)W*$A5%
zUVOgaY#bVJt~ks_CAm3%%{+{q$0eb##WmV&p9cRa{$jIB)pUX~IACdyD9V9rCY8Ev
zi$CQN{#ln;b?IfQo?KV*hSFrhM*P3sXWAUe?)nB*CbHyCb73FQ*3G>sNc@KcHcbj1
zPnjo5yn1E_f*{h<EgB>RT_h}+ti0gJkTv*TgukH3Slsd%I>GYr!o>ZFbHi-(sMXsG
zQ`V3Pd(1~CEI0X0N!eII^^=h*9QAbr%7=Du`qyF^b0G8DiJBNK53Tt_NA!(*QYO%L
zvE_=1$OLnFq9;XDP2@xc!+764miypj%j8;9K^S`{0O-Zap=$`^27L9xapM(-msl@3
zJWL+dHQ}+HbH8(Dc_&RHtZI$$5RU3YD%$HLqWAlWiFJqhFz*;&BbxV@8NlRCJJO37
z27Mu}jxLsXy4UY3Q!t<Y%|-sxb|QJ&-@!CUucOz)Dj;2}Fx(S{e9&&BeCXxhIV&GS
zi;ppTD6X{($GgoE^XC#Nd?WEqMjL<JmX{iZn+WsC;*Xp|A=EI+TJ;Aynz|h-E?+|_
zbTw!ZI8eC6r_iK95`;q76a1$5fS6)67vi9<LjTc&ewg&K8Ajo#bI<o+qZK;vEB0}2
z(HKz+rqY;C&a<THT{h9U@|^n-go-;ty(;t4z?$&DEtUx%gQuR87GCxg*R*}hUZ^Wp
zQlj;7c@1SB#rMAnIEx)JKui=p-W`5dTXiye0#($E$svtMMcY5NxQ)pJOLGs*n+wOd
zO$Ei;SHd{fopRqpyKVL@{n0pa5$E~BdtW)I%LaF={+{3bzoN2^Amj-kdh#G)Pzp&~
z38X8NR2nqXCCxERwK2y3>EM@l=yS{&aNYS<=U{9N0=2=4F<IW%^B%vrJf)+1gqia4
zn3tX;x-yi=B3Zke%7qHZM!UuS-sudzcs|%4LI%H|i?#G`{s9prRY!c4!$To@cS?C;
z=*0HQ;e1Bc$A_Gdi`T2ZtT>&l+p)JW1#x%8>0)*_W#dULqo~bfyMW_ezT-j3>Ed|B
z+amHS9>jl(M+Ci`0g|OeE3fX(leO?3S?m`DJVrL?-FHparo2Iy9PE@XQYz_$^6Ek`
zZyr|d45p88YAZ+X6X>3>+1zCw0LGiVXc5v(&dd=<7f*q;V42u@j8DfR9>OsHxGziB
z%)Ga1w`cME#+Cv;8&)B#TUOnA%zMf9?`}Q3W9_ekse47z&W<hcD2)2~Q}pcy41Oj2
zNb04|x9oo*Ssm6x?S>LDf}X4o=&nRDBn1E$b5oQT-(lNPTK5C?tApazu(`N3Ks@o%
zr>FA+p&nBtVxXZ=PZA*<x2rd4UiIHP-)wmr7kbgX%mt@C^`1a|pYeuAkNL6Ss!cZ=
zx{xixe_z@AAQ07X(!E`mTO}|4(3BJRN9zL#x2Sj-V|eVRp%mqq@28Hv_WsXqiJ%s#
zpoM-#QoSa~4@r_@qgvteF1wTb4~`qxf(rd5LS5%3R&<Lii^Y^W$|QyP2@cbzidG~>
zT`_5uo)psDO=@xZYLEk+%>;6@#O4{i6tj#m$k7B@W;R(^ZBhKH3tdh83$Df+E|K|-
zwvCE^1JqNLbh+ga8FL0yU76Jn9{^%t{7Aurl!1u99BnQ%c>KNXjj>g^FgM&LY5>m6
z5u=owU;fOY_TfR>O)+KBw#H+$WlE{YEFK4jj1+}c>c_fA<emvp)`(^VDO4di&-9Fk
zj`>E1R~EE5YrL~uB0&EWE5w74IjG_N^xW#tj}{HB!0BT*U6<S9Mpu-`1$?ojG=&BM
zFRJ8CmCiRVW;U0PGwU&4AHT{-^QCU5ycC=!2_$^7xATpCv-UwiDS{Yt_#xo7w$hXe
zb~o-`5*U_LZ?@P2JEe%?dEjQK@JsePt`*@{s;+1**8C0#vp$&&&Xi&z+A}b`q1bQe
zlkT|w7=-H|uTCUlhReT;j>QW%Kg7mbF6!znVLCiGIX?^Ypk~mM`uB(yJ>&`9kt8i*
zwp@n7Sn<W5ekHskn|9gyOOIW%aKg&L7HkZ(*vu34vI7>85Z_p4RmLq=c%!K|BDHaz
z8uczz&u6HeG}fFZ4gLyH53`1Cn+z^D3X_~gWT2NdL6bgc>)ory>MjzZ;3)<t)4%V%
zlrIBrelXFApL-PGjw%0Td5(BCR?dmsY8yyp*cA8f-C9geL;t8t1_=mQX+QxIL0||=
zi&T}IJ@=fV;J||KkJwgqnj%`h+Re{2pH02yHq~N_bbk8dietJdj#ff2bibA`CchzW
z^_cGjR=`55`W#uQraa;7TF2<npOUq9;f1f+3ctnc*vDG3s9y)RJt6XW^>3@#lZJe~
zses|kVeGv8n_&lp45GnvrXW8lce`DIAwl;$4E{a+(T6Y5D-L!-dBL8ti|l*>lUd9~
z{bt;2rqj_t3&s{L*iw3og*!{^Xx|!0wbMJw2Tph@M6t?KW=x(zEPGiZoO}-Hpkq)A
z4TJ1Yd`x2nleqpcrQz?kfl?Npe=+sG6b9&RbEL*wFp9*v)i~ul>~L+qeHZmv_uF8L
zh4#9mxKN}PM_3d~weTuCZQi&ZlJu+sXEs93L2z>zXAddVky2hAoF!%E^7cFG@%KkS
z$NJE&3*wZp(@IowHE>o~ZGe*yG*tFPjkQZ=Y~~{sl9~87_r9Enk9@u~F*hmhuQ*Z_
ze8`~JcpyM=;3y|y!FX43KH8a~w6ZxNTCP0Yx#iliR#`@_0dFY`U)tK8-!82-)9sJD
zU%3(eu%%I`vU&6_msvbRd4)5@;-*`GI&PxD{g+H)n1<u10`=ZvL+NwWHbBTRQ-wy%
zh;)7BAT=(igyrsR+55ZTHgj79vi>or6^PoI2H7Lu6-cEQC%eTFr?@3+dJ&l#a>Jv6
z;2UOO)5rYk{JhlYlJ#DyF^TQA!h<`g%uHfpP;};t<JYdfug%PWbG4uB+in$4Gvzmr
zulqBu`CSE<q`7y@wPZsQiSmJ-=lGQH+RC5TxWEwo_s2rhS6N~BJIwLs4v$Y-OXu+T
zb@cw@FX%{l{|4`GRs@Mj@$Z8N330E%DaC`2IO&*rN%Ahb;RfhDCEg|mw=bLw1{^$L
z80=K!Z8J7q_sU}z6G{XH+Ug=uxF+mPi>%bEq^cTc?CTOTb(-Cy7bhQx1>-vO5jt>%
z!U0<j6RsVc1IW;>)Z0Wt3${lW=EsldU0v2O^^g=Z{33cZVUUrzIPGGl?s=T-uW&EA
zRfqAk(z#tLao4S0oU>fN)qy(Swp8px@`Aw~>jwYQAnOSAxsaQ?pR|JhSsZIZ#vN79
z1wAQeLU`vT!c^96TU7#G6E5KahHa1&suZ!#NUEgL|8Hc~iV^kF--+Y6_zxiaE29ug
zz4TZscz)A5B4<dJ*1-c=%{FR?rlZ6$QKT=&Rz>b?80y^UHB<NPEqMFUKgNQujTXEE
z8zLV?erhQt^8BlWNSG(o1=u@yK53ZtbXpj7@Xn-pMUo_+>3!EMU^`-AR|X0>IEDk^
z7J`l(nQ$$CnP&HsPogU4_t=!$qbsSsPR=-lbU<m)NL0i#FEQCE*D4Tf<{Mcr@{aGO
zfy2?{@!s0JpQE+|m_M#l<9jjFbsR;tU=xxB3LdbHWSEc?tb!b_3K3b<xD$}5?FL2S
z15~EZ{HfytD!ONV(5)g1T6p&-UQf@^1dX#MS2e(fV*Z<tz)VP|n8Hv3{M~S#5^k4b
zt@%CitE{BxhVRjls&3&ces=QG0+cyQ7)^!MYB<Gqccin6gIS0+iezpBfe}8!P{Kx9
z@z;)s@?gq7I>(mTZK=qL{rMZ=IpZlwOEa1yCXCWkl4OZVs&s1kT@#sHncVmHB8KO*
zyfCNL3Hk+i5h!o?B-R?q`HaVlu06vhgw1dhUQAp(nZ_4?8Hu1GB1PoTvU^Ta0Aalp
z-I;EiE`e8#lOp78FGBUYf7G=KH>aGLPy5DoyX=p$P-MTRhc^qy<!Qa%m+6e3kNwW9
zgxf)3yYAX&S~+dRk{nU{h6z~ffP7#rmo@%R8T`*iP)8HeNm?9VSBL&_lG0?!7yXge
zO$J9R8xQ@3xp3EyNi+0%h7}Cu)l&pJZgmrzyKu3LKju#>)F08b<0ON>IX?f;O(v(7
zk*aF;JaH;Q&JRWs>$oT8QF3~i4dg@>$dZiaCbBY`FCVXGb=BQ-2%cK$-tPkHm=D=t
zotg6R#}rMYb4K)3zK5=i-$ataaLstcmE0UK9?Fv{4xsT}&883@N+otx4Q)b}s0!U%
zquqo<b})4`Kj{^xgBv&=)JS0Gzv0BJ31eo^O?hMZy0e+(wbLyX<kK7Q-Yg4&bz=6j
z@k4XPoQOCJIlbwH{ZZ{5mCb*HDRL$1!NVcsC}Bywd!r3r)c;CWP+^V{b$o}<%F1dP
z;r$d7vi-CvS=KszKL*=v0d)eQ%J}Z;V(y@2QfF3E_BmBNUG`}A)=4K<-Px(Q$CCzv
z5C<JBIV%zuJ8?{McoxALl|6-@TR$EN)_lN%2z)B=k#DJ$`{jXmU1#jA83_)QvGg^p
z{}Wb<$_DpnpREtECUTzl#imqT((ZbCm%31iF-(T`Vf`EqlM_7o>?1yN&@(pK?O%%s
z!|HD=6rPivMy1mIQOk{ox?|)s`Dm6;@>#KAWQ`gb2v+rB-fA-e?%3Rok_+dX`);KS
zv^7jJY@m^>aI#D+Q`a;x8#JciTlO74Q-{9ENj`(YOkvY-cbzbA^9|QC()uyC_mF*B
zt{GC|?=4{{m4xsOa%T8DeP#~e*XM%HC^JLtxd|B`*HTDAT#;_T^=M|3`CM;DOUw@?
zkd65AmJ9~}^;7)RDLD0VWIT%sWq0Y$h7a>}PBq|u=;wXG)^v$j($c-^6r#<~ss8)V
z`{q85(RQj3l%J%U_h$w`fOo6$<>9?AsD5E~#$Jay=yb`SV=A9t+TOv^Y>rZxtn!cJ
z&MW8S4S*bUDE8iT_TOLz`V><aIL362Od+3e%hxBa`!1~_%hlAJd@5G&oPUD@x9ZAD
zc+sZ{o;e)_8D*-j@nFppGk+OY=L-CQAY?6R2nj{hX+%#&%6wS-jM_&3qdbf1F>k~H
z;K}hO%DfJzp$dtyt<NL29fnMkj6nvjFYc7Oo1@4QAxstuANz=r{8{w`(E=dmoGW&A
zIHaB3k#YQ0KjvT<oAYkO2-=(eUB}DO<1<f$GOP9U;7Pqj`v|KJQ*GHb2uTtkhcTkZ
zgtx=&#vhwOA=2*n4L961vGVR_B6Q;q>Bb+wOE-7>n7JpoXi@*3)@Wu~Z1F?#f1+Ab
zMp9<AVB2)49P=TPH4=CioP^ug>TsF@j#~B7ji}_~i!;GhS`CU}0F@p^;3<<6T*^mJ
z1Q3O^>mJ*ZU9lr+#q!t4VQSb3LUhFW?$$~$tH>jN!7hK>YEiP$x7$lmm<T0JvMuGs
z=M*{C^zb3)+<~Re9o!5`{%iHMvOafzBwoan&dUI6Vs?5+t1p51EUOo{+wFZJM|+^2
z`88iBtX(m7pto*8KJ$BY2Y%kQl+;dzLY=rxPK+O30;lNI2-MB{uZOH++5)c~mgJLN
zm|W{s#*{_Fx_&)4cB5mq)aZ{ll1tS43UEq*AZAT5Cb*%iT=uPfWM=s0)*I%5jL^|y
zwZ*A6NG=cae@Oxd6{L9_0v}jj{KkQh18K<x0&-`Ou{lyXUHYgEIPnGZa@+{Jg|6ab
zD*48QdAWo5vnS<gsFS6f%aX+T3}<6{H`mdiK<-q@xXT`s%A5u5O+dRwa_@PH=8Z<{
z6LE5g`6nJX_#}sbEqFZs=`<IL{uiU$;6?V;Vv5x@<)s{pELmC>Ts%$sENE<X|AKNx
z$_4R<cil&NdtCUGQhX<h#uNzd!7io9YAocu)m;AT!-*zxwXHXyLxaQ1{MOP8C>95H
z<aL@RyW4k6IqFkIXr^4o(i?<Zj81tCppf|^pVyqX@<iS=QKxqa*`Juj-SKzcwTGAe
z6oL*JF<XAmIOl3J*S%zYJNtR0SsiaZMwjU0zc@J208|<Jz^k~%{i@#qW~zx^h@y|2
zJz-rO&6azXR@y8m%c*8Ga6@}{St%^{!#mC0;)`dtpF8GiHXv&NT8>9z!@xV_y_=mG
z`d(&&_9V7%sd}OMhcm*0E$&3fa@HVIQns*cm~Bma2A<UA&MHT{UfgM}jVBx?GPb+d
zOOLiD!=Vu3P3AVh5(8Z7Qm~4S#w8me`SPf-S3BNTH=L|LL(~HuRN~PB>Dw%^xB9+m
z$>c2LHob4%*<?zY&jc{#JL|Gp>|=(O40B|C-n85F2c!-;<v%qDt*uH&JHo7tF+!?j
zU3%3fT#6%S>JeVN_RlD0{)Ur(mM6W@QD_MyQ2F#^|MVL_RC6>8nbtj4Y8Q-1(=z(D
z2v07)Zb*HZK&`B3&7$STny%WDXCN+V3y46Av@@K>chBkW^Tud`1qlLPh^KZpTevtd
z4{HDe+ZJ)^%_81H*@@z`{j}D`Gl!^YDpychvrKFXDqT^h{L*)b#JjpYUtz-OQlRlw
z2}Tm)Q~_9wfG{_M*)Puiw!31KrwJUuPWyps^mP*pPRd?<Ro-U-Wi8VL<Ckz^ms$Jj
zd5$~{ABS$Qt$5*evN9E00a!&EJ|Tss5y^hD337Ht;3_C?jSyyXgGL5-p(wDq6Bm4F
z_!6>TtD124Yl$af)xep;JB(w^n(Pg}saFZ5hM|DVxU%Jsm;Y%-R6)p+D*NaWu$k$1
zsXeWL`u@he{@J!;VeiPMK576*3=p_>+|S2IlD{3p#rq2%lShA7Z_-bcDA**&Vp`!L
zc(UPIHJ|%+o}ND+RrhOAm_&?BRmp7hBck``#j9S1DzPT(d1b$%-&WncL9tuc4|JYn
zGKy|2o&kEwDS}d^=7Zxpa4DcIQ6ca^qy2I)EA0oP-pkbZ$_)L_9TYu~op(susN*O4
z@oIFk?4j*9%~tY<y8NyX3gJ)@@J-y-PYVa%0-btrprN<~4mjP@W(92dbS_2Pe(9^Z
zS2syws|!kF=R4+JLM|bceq7_+M?%oy+IN+8`=9&gM^c~^KzF8+mzaNV3;*42NH4#k
zc}|P??)uSE;;$CXAXrkb;~|!X-q@5DELr3k;tp=mAiy0t>J-ztS4l^3Bz~M&?u*6}
znCkN7$0rL$lwq2?j4?vZB2n>7MdVBeYS*oDBRC*R5!1PiHEos~%r1?flMt;AkypxD
z{ZLDeTlfmD&R26}WKc;ynWca5Io>+|XbuJFE;zEq@bMS}xdG(jaYvCi^9mdb%(A<&
zF3jf@((N}D7YfT<xphazkOl0p+v3Ew9znO5>E}LbL*5L7?CCqT7oeKtw}n*^(4^ef
zx|85NXarLB`rLxtHke|HyfHih4Vo3Hk8moj-wun#si}MI(t0t5K@PQ6ME+|L40@zR
z2))%T|KzK=5J}Y+IBkA8PaeH<Yv6AUt{*XcVeN2K71cvrrSGDVNWeL+?*Be+MF_L!
zXK|jVJAQVy0&ROnuLN%LPn&zGbn5G3%Gp<j_^DH8HIyksq>y0R%3hPw5auy(>t?O?
zit{bZAGtC^NbTSst+I-y#Pz{km^)(cgyaZu5hOGF9uiA^cXz2ts^6q=(vD{RS^RZw
zvmAw;KaP|xJJ#k#rG#q+<Y(GXjMkQ~$2NzJ9aFxDa$Zf6PrT|EWsxWSUMti0?CXr>
zG;{a(W?VJimbj@k@0f=TWh1({kURWU7(2Z8s0Lf=(@pVRh6|{$G*Ua4f&sx!O2F~o
z^u?dFZQ4xuG|{`6T8gawFRUdeP#aeW_!jvhGj`h!-NM@pjT%>F83(iX$u>uw!BBmV
z#IBL%nwm>Dl`vFHCnrtzz~7xn1n7?SK?%g0-my&!n{{b)FOS;!_@vdHXsYHY(}<l;
z8C~=tDr;U<YG~0QdpTdl*U>!WHE{%=DMM@US+Vi2$LDmTT~3$gfcg*RTvOgrXh*9t
zc`5MiLH5_jdYi<$C$|)gALPkij1^qF&xsyQ2k1xXBogcJsy6gZ>d@IM0q*uaE?Mqb
z-72406*Sp(hSNgK@*(g;xr*l!0fg`#9)&7d@wU!B7a|?2+Usfb`fsuG@O|@kPkMvm
zpX|XB<qK~Q{z2WpcfVqPyNlfT`?f!3TJA(=_V}Qn9MBO-8IuX(6@`#1x)`qe2l>(Y
zrs$Pc!>BzB_5>%gB=6oh8z3^R@Lb)g0gWBkNYdOw2eD+SbHt6dM$PAQgbADV(4ASa
z#1}0CC3$VBBh~UGDDe<U_(lnK!|usJe)qI|XT#W3#H~l4M|l-N^r&i39IVE~ltVmP
zeG6xpK54B%w8-!S%#E5WlO{}O$&Bx^`P=dv*+;NN{>#}NVXKU=6>|zmCu#Cz>3S{G
z$HiYpoc8^TZl*Ww1A`feA7UGGs10O(qw3JENBxF(4<Ix6M4NJ^X)gKim1zW>6-JTF
zeT=@GPWZDFpBAh$u?jWOax?4Q(8S&M@Izq9>N(x8&eBut@#sIb?>}a1fOX{Ga~?Gd
zFsuHBILP8gD_lFwaULDA8j(P)ScR&B8<Ste7~GUYVg~Ig@rsrJnCi#rPkyB3U~5}i
zl_fub_Z3iH9K1#mWFd<GT5#kQO~Jucb3v|b-11{vicZ$@jr8&>S~VBI(hnhBRb2iO
zqPCjK?S+veDL!w59V!)GW7>Gg1W-jauyhMxb#9y`1_{}y;euK;Jy>L4!}RwAwB;Mj
z46J$`bW$1JaO{`oTQp|HS)7Y;Y4}e%oUXU@5$yRz-_9S}9$0h`I6~Hz$(c9CV{%fg
z>CrNKU~4hCq%xbkPx>`M92=xxk%G(lX%9g2b%ykbF*yCY5I@=UOsjLYExWt1HRKdW
z`NN-W<liOmUoMpX5?S{thjXU?^|@#nDk}jLnlwG76Q3TF3KHar9kSrn=eyfn<OmNS
ziebePms3-CtAS5+N)+@0H|$WJ?U|T>KVMP@8MOP+5Sd}@23ImWttRt|Y!j3&Ci{q|
z`p?=-7663`P^9^NcGC?N+~cS(5>DPqxt+b&W$p{Ol*ZKqG&DDQlMU?%eN@2O#zH2%
z8=*`C3bQO1b_;ebEeP~8GZ*2E^4PRxz%K}JXszJF4s3?;BRTs=UAM+u#Om=EPe6&Z
z=Ow}}CL4?jm3_ae_!6%Lc5}o*bd@#5VP3-&WzLF=mDy|6tDn*;b$g{RehmH(k*bX>
zYn&$O=++2OkX|B+hFTh92bvfQPK7hyP2r7nw!ZBsOGPuJOt-YEq7F>Xq#ar#HlA|)
zDp%VOUqz4^D1r;gyci8*^R}ap;Kqa}lfK|i9A5k0NWb{8<RVp{<k_~Q4oVF{+SJ(z
z5rx7GydWhQTEHww*d*Qj4S#z>lMq)X3+`|Gn5p+Jm;tl9Safk9dg%mZh(A0=PUbtC
z|4%QX_htSS{a+$baAn(~+m6JIgJ0#B6_fkf#dmeRgc4*nF;eawS$-p)I!QJONU^pX
znVvKt1uiCxPz%sfR{jjcxMZ>7F!9Z%b$JMXO$2K0YB3jvRyglJZZByd+4(LJS-bII
z-_HaRkPOX7w@a>~N}TO+(6XyL=ju-K_yaiqmn3=o8=u2M6ukb>29>xdCAPM;qmZ*;
z64(H}c@@!OvuIQrD_-1roqe&0?#}ne_k}^g^9TwGEYppXY+QNnF9~wANqKBM@s~1G
zQ>nT)(ydRBx$9^SsE<WJW<!~crsqCK0A`z*9Tw0>2$j__+KDJBFG;?IAG~*-Cz*{L
z*p9D!pV~)@w%*wD1&}c5FU}uge)mYJuP-70q+uxl7kSOj8&}_qYp<UF8(P8SC)ugZ
zVh%vOyOuyr)yW`)Mb0W^qK$Opwo2e2d|*>1nwI-m2rPoj?YYW&Oh=MPy(e$xqhmtJ
zx}lPvqCzVu)U&@TzDZi25G}h!Ozx36T$_-+MDEw|QShHw`m1w_eg3>%LohV&7tNml
zGl2yUnRTBWcz_ZIkfPod-P^Ej2lN$FYdS-Llh0V?3PW|{v@I30(f)~Y(&G1{S}{)C
z+0)(q(MvIX2oY%SeTKP9+jd_KQXg^A#zW7lSQP~~*;}JwbJ9d1j&z}eO(vydEVw`0
z0{?Op5D!62b1_=vBg<oRTH)~Miw6X$q!Aw~jx)H;ygyO@jJq@FarK#Ke1_0CF`-*7
zl}l77l6T|GXaClH@)m_d*636s9X=8%I_H?}wL5GOP%Ru9nN{>Ib+vr#n_IK0-JCI?
zMI@AO0Z!KZ=rcmmKb~yEkWa#exbe>9IpKc9ZHJdx9j|z#qlF0ENwFa{v?>>EOT^^q
zF+1X0pPUZS@4)&8nWvxrjyH6<9hpBLQ6bMKT2#cr_ZCIJ!5Dg#TijL{tBZi;v7=_@
zfoKPb&z%GXCA7}TYc*us)K4fMitt8-U2uxrfcm68+doU*jLA^E!t4!Nw!lhOr#;3R
zX00pPkDjcP($M}Sl8P0=u4-D=?R{XHR7sBD>m0pV8Cg~Vv?(H16|z#{Zw%9f!tO44
zXBk9a;a~R9XZE0R^60UtsQRNeuS~#CI8=f{kOjehG(||abEi^4IrOu03HF*u0i~dU
zPu_^+B<twVDAk1%+^AHy;d|ta?xVg%r;Z<PhSnt3*AnI&-1*FyKD}!1)lw|RnooXq
ztvi2DvVZP(OCNLPINgNX^}{ct5uWRZE!D<;_)ymPF97<-PToDgyUw2APkw*gtU)3K
zIze#U<Xl=pR^Sx3l6@7qGQ8m&;7XNkNFL!zCWzW@NU?V(CVu5L4^%7o%n0~mhnQKm
z_!9oMa!FI#g)i*9SAnP*n)1nJ{;TMkZGjZYM=2URH^`y9s$AW3RH}^NL9(;ymZRk%
z$j(jNbK1qnV0MAt2BrM5xsjL2vdFTz^fln=Xm7$`*>Z0e8gwArLV$nZWK4c%D%{2v
z!()+=QhUYvq1dEuu2yhlSJjm9>2jFC=-ZZH%QNl0fkMadfgL#(VhcP5u<dLjd1K7#
zDhN~YJ9Dp&+Mp7h#B7HR^p&_t=-8J>fFy(AJfGs7zL*~g|Lkx4?Lbt5$o`62&}Am;
zPrmn$4n7+m`=mRhwA$AD?AIhD0SxY3-lts@_M;TJnAIVOo?M>H+_IfFhQcfOebw@2
zGm$71*IU_P?wJpCJU{Q|Hu`ngZgaZ&#3ArNQfE)=Ft7rBeU|~5-QO^%MSm>JAfd5l
zzd5BjIM;^nW;yv}ZcSkK=7q(4B<)3AfUi|a_40pYex{lqbV$TG{+_cVBQr3Y;|}}y
z6Kb4HTf9+i<hI60PSPd($!^x<7?G_XBS+BOhW}JFIM8<rX5!<l)BY3;9{tf&aD&$A
zvEMqXL6IeWwd&WO;YZ#WV)9*mUQTK{dcN#?zfn*&<Y0FNbi}yDKO0~_cS#%b@_P5Y
zC(XrwVBjX{(Ob0tK=pt4Y<v0;D7HCxczQu2^5@Tku2J#!@XHy7mahi=_ad7_C7)60
zG6kCw$%Fda-WzL@)w>c?S9s8@avkY@HO{a^g){NKGE7%C^XG^*QG2feKU6x(jaMhG
z*Y)pr7_$9c3pv+=OGaGMk<T=WB=PPa`)y<5=1wlff(4+c1@0V>S5{;uX}2hEdbNoZ
zeK32sE@nX|9SaRM!m@(*e4}l&<y>8>v-`5)hWxYYh8x&<P<0ZiP4er5PMnU$O{^6T
zl1heo6y$OO8TZ)Gc67Up;}JGx&xvn(<I2$N8zrGsmDl{Zgsy9XsebcA8*^q3GdML&
z&e@1E%<tzuy2k%0fA$!V^|WvF!0{hsI(muDJXTvk6GP(lWhKAF9ZO}HhFsayiX}oi
zvEH#_;5>l-k$1mJl1M{DB7v<iz-7g`CstpTNFsmQ!-E5oc*z&oYdMY-n_0nh`?L!4
zJgJ~VfKLLyN0rNMsH`d$?U@Mtj30Hc#pCpy#ORpwm;qQvvp1yRw&9b(!Tw|*)+)})
zDZ%4oUD8J<_jx}S<a2#Uc1783j*5%4RkcT+W(@QHz_rMFw_C*;q3a^ZM$^16Y5en2
zAK<E;E6ksJ&Ror}OazlRt47j)0?+-{H09KK60;2@S<+wB-3t;$1XLbeQ7H@%gXhk;
zySg3`!WKhNzPy5K6jpJUzc2zJ7o7j)JOa?*s2*}zjVt`WpgW{OR&s~ZaTCuAd6H!1
zU{jZAE9WlpYW<4&nO!Jo+8D3EVb9V-=QSO}RAFD4G20r0e^c;6(DDiII}D&2bJi>3
zqnZ`wxNr*ZRD9wJesAytRSdBWVz%3()ZZI9IvDew&njp%@Z&Pwv8fCF;z$yYuNGdM
za+<R6tGaj-y{p0(Q$9i1>_65aC8SVA<S8Qny}A+3GtS+X9($*|qF+JNM=05TV4~5O
zM~T)enq<9pDuaWdLGvnohp*{P$$qyhJW240=#jRhZ9Bd*1UKb(*0|LRyu`*cmTHn9
z)y@kNqM-DP%%?JEn`G;K73wd`BWtfojo{5lGPM(3P~Fs%t2)$i&mSqD@iR-F`j@S!
ze%lHUqO9`=zC+|?k!|RH*1;Qik2Dd<W2U3#p-0G-5#POTefl5zin885T4CN%fs+ZW
z(p9Xs=dp}<p`KVAk(mu&-gllRVRMW!y7&l%&De+F6Lpjj!Ai(9X^<MakS9!P`1VN;
zN}%J~X|B)YMPqG#)thq&#lqJq0Ge)K7542*WP=L)SkRcJ2OD^yDEM@Uolb_yg|9hJ
z)_k&Fzap#4r99z9hj!d2=5Ix%;TGE1KXcPu@2gYy-GOe!d~Vuh9G=#QsV*Dj8G&JT
zqBX@E9+q(z(TMq@0_M`;<5QYK%Y#@k=Eu)W_4PwO6-Uer$0n7({*R`%4e;=i^LqtE
zRp)Q@V=QfDac+lY{VF8Wfhal|akorw^_bC_XT7i8`|^2lfP!Js%PR8Pjo3ZwGPU`G
z`uuL|?rg6Mm$)iIq!zGq4rpIr{T7a74YiTN@2PY#^l2Og&6o+bVqHDOCSK;+=Hi95
zvSadNU3Ad{RGn6Mi3tu>uS!Fi_?L_3?Jw-Rg;C~39WXv?=Tyic1%Tvna=F<jXJXIZ
z4iFHjyli<HwejxYX85}Q{bnL3#|n6%z2|V2uAgXJnDA2V)~(VY<5|O?YPpP7p}g?j
zisIJJ0+ZVYs4Q!uWR2f;Zs#eoFMGPi=;+^>v5LhtlhGe<D7U#vgo#DR%%SS$?X$iO
z6oAZ;imZf;d0-bJUwsEbk4buV&wlL(&XvbV{b%;JJcLa7cRYALe@A1wQb#5DTd#Mt
z(N}!F#{uA%jNDZeeOrQZD`ph3)4FZ4{_i4vmcHtKBqPqX{~YxZg$H*ERO>dqY$sv0
z-ZLTnn2Cu1tgwmLk-=`3R@wiwcA++nmaK2%(7d-ZTfhFB&4vcQwK-L~ojmYNRDAd8
zn83H>Jh#^fulu#B$pNo-+s@oDr$A+fUdK$4YQivFZ?il~k(Y^^5Z3tyBR}YjVv~@!
zDPHkRvjOCRY33CkxB38U34-qqQ9me_?Z7vdH~TvIuF2K0gzYtO{!KM$W!+EfKyEsQ
z6d}WXA>8Xbr<&;np<dMtNylZ>>Kk!BH+!9pm&R$*{?*9CD^!&7W)8Ejh>}#Ce%Ae0
z2ZHx|s`I3a9_tTN-?2uUGw=Nv?Oj~cQ{x@SuD(<tK{S1!?=hw{6_fGYoU+-LOYG*J
zgZwqxWuF|}n_7064`$QY;6&X_NUFT<0>LNBX4Q4kCb);n9%#LnQw>Hd25}z0`Y=>*
z>`v+y^avNL*d73`w|UrJA+PWQfD->!a^}sx)n;XyR>_G#et~a%V8$m!&@v`c=W#s2
zM*FhU%em1cJF>_h6S?M?=_gw4N|>#5!vrYWm#ztVg0;-QN9%pMuSnd9C2Y4`$2~Qz
zWTu~a?#?{Nj=NiDCC;w>(Z2Po#9cS>^e{(u)`SIvlL1n|8ug`XAIqiqQ;GL`$RQ7x
zH34&MhV1Tce4<?dPMp}13`=JCrzZ72y_8IGPo%h|c*)@yGLWe7FOqs%^mhSH<u_CP
zr-YghlY~E<)-r<pq}qo6y1^80@g}_Yz7jUxap)}}iq@XP9gqBArE^Nga7dM>))Gd0
zwDjxo(TqERL_x{L2}TnMp%A4k_n;4+1*^Xfuags}8EsPc41~`%#o^`_K)q;xmKTc;
z7)N3z7%xP-pvw5u&DUJZwQ3Hm5_nu|ZJ*lf!%ACZbtKEzI^5-zpAv;*Mk^l50_Y+)
zYK$Nyd9}fl0w(L#a(};<^^w$m3U}RC6)R4l4U^iax40t8V1urn_atSe(+i`v<RMu}
zMKNb|t@Pn;{haNCW{3-s$|k-@oWHKT+Q$n2;Ngj<P^`6y5C>+C5t`G>(M0iUJ5qPT
zIj^<{*X2mUWNLo0Vz&9<=xb3g%ip@?KTyByf^2&)TnLj7{`NOr0yQ4FZ);s4XODmJ
zX{{ZUbW8rGOln9|j3xaXf>(z#=la{LyV)y)-v%2-=&4TP3Wu@W2;1Q6_#rx9Q^1g=
zCkEE+LX_1?{v1d?#D+sNM=fb`WS8OuHYqW?^igeII(Ir}yG2K57Nwc_#Z#2IV9CqU
zG3(JZ!u~h&ER0(b$z6`@wxXvtdHu~9#^2yS^HMEGNVsLHyoI@YPex@rLDBGEK&w?k
z(gNp<k%C;FMD53}$TvlbsAziCkuPnKDy!#H4g~roRIofe4|MP_Eg8dS?C!-jH>NNj
zkAn}0;DQ)>BNMZm(9Y-iQ%;14G%zsxw|4llWLU^H{Gp*PCNp}aKP;0!JT>ao3B3I8
z9ON7+^gxK^^eg^N6Y!%?T!>ANX~6=N`BOfF{G(|RoT{g5@_k<U3>4GP!VI^V-#;kF
z4wZuTAj|YGq=q@cCs;@v$NWE3eRW)v-P*MvA{|3_cMPF)h@{dX-QC^YogyV20@B?L
zLx)J$(49j!-}v~P^PcZdeu8t)zIR;LT5GQ*&J1!&-G2B?s|1ZnW>w28z3sDB>Qv3+
zdCVVw)dt|NmOHO$!hkkM_2arOu_Zf(??Og)Me-|Sp0#{-4(?`}FPh$YedZ5`hIB#^
zTXw?sfV(X?33_rS=&f&`5b+C+5d5z{9EhVH5xi1^GFXg%9UXQhgyO9mzm!yEr8N&F
z@zbkFoNK~p39Gh$f!{vsTJ*s8@OyjStva9b-Mt%OkS=df{WJY2_=D{wN6nnCG@S!n
z>}x-mM7rWm1!6DVAVoFSog$7nyInl#*lHp0x#WL4VGLM#{y%KdwY>k)U$h$;paA>R
zQniHaEgvCdXPM*KmnN1;G;vUg*vCUM9XH~OuY<TYLuK{VONmdZIft()N~h*&_jCN~
zmzmGFFZaI%e7Q*_yDUWl9)@@fkKd_scYEEs(<Tj&XZ9m@tQ*ncte793)<-KKSlhsw
zur~-m)k|@{{d88V%9Sqgu2t$f!5b9>cOT{O+D06N5>va<e#T)=urH-<oQ9-Lun`f3
zEhz=1U#L~5W)vkhNflM2o6!jy!L;$|+{)oi<(ro_OyPmwR+g6t#4q_>k-K-4Y8xGZ
zmTeQBQcErMtt_{0sFA^wveu_wq<2H<gW3;pX(Ojp!km$pAvgMYRn{D3^ySPw=0_nz
zME>P2z`4ry_BRo^>Omh#|Do>xU5X5UN_S<?HIv4Fklm#Ke}I@Lk>#1SJTkc19_u2}
ziARtxiWjNB#D+US9o=(`%mlu|g}~GDhTj>pbyb#Ty&!~VXq%C;YEix)+lV%EfNhgb
zMUlVMz)(bhM*q{FnjL~kKM8X*JGHWO#Cj5#?a>FZZhoa3Qwk$G(wYF=Nf_;q9|Soo
zwtm_n%1*nZ!yViNvFZU2_El7y2M@GW9dLDWNu1wm5pWtAQO97p_QHg%PsbY7%VNDT
zr%KuW@{XU1n($Jb4oA!AXJKhm2eN5oS8@s8R{uTJxJSgnf)M2VJ<iO4pgD(%K9Z@n
zs)59R;W%tT8D!`-TBFd&qf(*&6ZOx7{vWL3UV;!V^{7H(yP)w0FX(cm(hr<6&B<pC
z?g(Y;H^ocHjj|0M-_Sq;&FFHAryR2+syY*Fvy~O<YwL+u)2GeFie8jxsh?81IYm_J
z{Yc~i-6E<t-uT)z%I8I^A$&tr8RvIFloYIh`%>(V|C-+l%`yd;q<s`65CjJ@ph1c&
zTQ(#Hy#whJ^{c{H3%CZvZdye5qd<)~nk&9k`nldy9aGyHQj51Y;<$iKr#-&AY>B_G
zjd39k0XW_Xsxvw+y#bqb@v~0r;CKqS(m~Y=2FHBShR&pEOk@;JCpKHQk0>B_x;ciN
z57j(g7u0VI$x=)bT76c7%Qs)Sb+s^JAFcqpQ}O?ox?i)Pgie(y=Q<O;zf&cqtAtef
z*lBY{ha^=ia=kqO(c9AoUv{0bt)(cDk|QMMcv<yE5wVA&C_oMg^n{3;mxp1UtCh+Z
z?}}E$)2M{d@`(=O*TfOGasr#t42TUgr~BhF)MZ3l<+-6mUm>7`euRq~s#X4T|J|~J
z_yO!V8zr`9qBB4%Rk-b|Mo-omR3xCx?8zMlnkG)>(K85WOPi;bK<-tS8Z~hC@E_l@
z#O;hC-zyX8!jzECdHv<uQbvOARuf+~S)zT_?W9B@$bO$aO~*GD<gd6A{g`!1E)0%a
zzQx(1v(5Wv*x$So3&^)ZniSs(t?UY~>sDGq%5Nwy^Ak4BtKt0%BmK)Kjs00fJLf6o
z|N7TtlPh5AwW0Cr>Z3urrUk&cQjgCu?C<8_?CV-JqWW;SPqOzcM>@VNNPa1(7_;i_
z@DDoaVgCF{;xoNd&Ts!O@C>VNKPg>RVqQ|Bkp0WUJ0tMJr;`=N5R|bf=yNsFQ2tzN
zs=9+?BsB_K{}@!cE&X~??FI#UB@nWQk=dW0nz!U0c~L#@&+4zXhS-^*Q4lT=M1;H>
zKU_(!o6%q0B0NxWhRMvKr;gKADm&d{;&hRxlvRzL1jWDe&D|woJGq_V#G44XI<m={
zqc87PODeIj)pqE~`3XcZC3iOX2Qwa54UTU~kKTe`xwgYeSH-Rhj(##N2zgdgTopgx
zKL24vFaJM%-C4mOQSm4Kyc*#@t1N&n-rs=TYWEDv;@5>ds;6r8Bu!eNOt9t-A8)P9
zF0IO1u_<rZ$0+Y&GO_HOhUKT~j{DzaZ9-*Wb*-rG8oz9z2&Yh*4Ee-eD>BV=Oi{dn
zuZ7^MoxR4o;yTD$bIJo&7`aCJqkb!f`X>8Me5d!7M0=5TzpE~`rGA+h-^2w^wnXl?
z0c%5~B3fbN1_;L~CH=<H<p6%H-W<UeH(mwwHW{otwvSy|hU5zr$TK#TsKNT|uIhuU
z*foAe!51gm*l1<=Ex6tS55<q={OxLi(=DZAP!R*RmSQTI==C|vmPAEv>IM(1AFP!T
zIu#RI5BLH_W;o$-d)+QYlzj95198>g{!xy?NaOx{=X{JJ2Tq;_&TTFXQVzy_q|M4H
zb%)8;B{5~KMz*Q%ru&HP!mi~kU;o;oC8U=N*|xj@(?M(Upf*2?9ox5qtD8QOc=g4d
zP(63))@>6Jw~i?XWCRkb@M1g4)3?TvHFFXwsrf=t#R@xYQdU@B{-XrhHr=fLm2Si;
z%oq>8SA<8u>L^E^AuT&v6ew`}lCpv|%Mdz7`E(!oS}42Rk!S!wC8-mX6aN^3K`va7
zle$hDRyVp@F{!GYL={Yf0@XKn?eK95ovDE3OBQTAx`gISH1RFYDxhp0zE<eubWzlj
z#^ZZvgJ%`S`0ur#f4AN&@;|B=k+;gO|Hxv_3IN5a^O_9soenv8+;pZ6rshbU0&b{+
zs56?>70k6d1S<V@MOOFbG00w`a>fks%G{wMR_vP*4A;e4zoPD4k`y1k_#!8M*?7}r
ziGQESu5{f9v+?lmoC!0H?B@#=g;{S&dTwMQBWT2MuR&DlVNmIbCTO4Ws*h4XzQ`iP
z&CSoBAI%6)k5aR@+@La6=GDOfsuKH;9fT|a44FY5tVZj`Yol8a(Ya8a+T2K<+c9(C
zTpsfJdx%5on==$U9A^Hk87Y>>tm+eA%!Ns&!HlQ(3hKrVtuV%w8a(aj(l~FnS1P-z
zUtFMuIu8D&xg$w-NlWb52acpm2W5{9-WT6;2lf7EuYo$ILEDWdBWkLDXAnT4Mbv*1
z;H6209ol>A><m9gw*#3>qIjqJ_Lm0U2Fu*iOZI!3pYsgxrTe-pTUBc_5<trsSY4MN
z4uUq_KbjDCcfK|WB<h<wU~=RAp2u;{VKN`cihn(WwmH%=)(#DDhc4rJF<7e}2KNIk
z*@h*fNzj>U_EpGDx6v)TFn1iO9SYFdn}}(_gG7;CG6nL{F*M}NlpQC#+u0f(;!LPK
z>2Q1WB|5uU0*8v;8KzAi{h)L)9=L;9V6Hte1ok1mE}_MC^Nj)>S4_!zqYYV+QE|Eh
z#J{ZB8W2i|l0~<;LOWN)#${5YyY2(G+4jzs6HV2u|0!WUAXvYLU3%#(ocmNKrZtm^
z^b5V=+;diAq6WReMdS0|0&x~leBE4KSx)K|mi9?T5<<p`-gWG_W~a;NFR_Ee#D4eb
z7d@kC+i-{4^{005;N!YfJ4x&QTC1Y{dTlU?xG5pJ#MEBVhsPl?*tRedKUqnL@ag3y
z$dg;;TZkjBFs41D0u;Q-f`x4q>=*DO!A*%xu&1FjfIz%*a&d>ei8q-<u|qXp0fi(S
z+@o1H4J4Fh*mimHSL4{f8bWV>4lM(cou+tHF8HozgnC;69HU~k0|}ui>TuIRhJ&bX
zTfC{7iwOp#E#1V<hqtKMwGLb3FGvf(XLNP17XavKHK6=dBh|-1LbdoMV~ty-+Fywx
zOet35z*#8$$TpQYBbq<(M%li}81Fy)J(L*v<4BnWb)-B@18afRyiSQe^ga-vn8M@R
zRqX1t=$t5N!n^%IU{J;U{j3!HyexcA#X$Y$&dBW(V=}heCx=t*-ot@qcKo2UfPt>`
zYp~lFHJ7{J519vWNP;U>D<9HNUo9l1C3&20IhDwLX}{ZkDA$0s(xr|a*sPi=`h9o>
zuEm1tpuY}LKl*kq>}K)X2SLTiytEJmIM|!|IBO=#x{0DJo10#>#(x}hmw_<S)Gkv|
z7xt3K@N`tSZZi6A&pWS<qRF4><WJcs9lDLW7w>(o^n8|BT;ON#ow+9HKct4QkD=1c
ze}P)NzOKDp&?nya2EYj2VW!Z8ri%Ex{|MNKb5|S1n~7op+!w>CatCNZ`#n3~>a4+`
zZ8l633!HT~_(`S3fEEQ#CF~IK+cBqf2MHWM_A?=>sDZVdHz0HC9CB>Q(8>2MZxXhm
zq4|k?LcNfV8-#9&)eVd+OV2kyN^);;{^JEOj`7=s_vraLJC7Dm;$$N%Jlp5(&vXIn
zi7%tFaYiS76YGoK2qz7KGXA?_wysFc5MN_>J0*I#uJ$Vo0e(IIT8D=N__A{4KMunG
zG2LZ@o6V47&O4r-#+HzfVB_KnO-m!70w*UY=hf5zW@cvSfk5s<>Jqhv?9|i`c6OBu
zx?+Zy-d2{Dzow^yzkUVqWV#s+nx>r@IsQK4gr?R(|24U^q-0dc#KZ*Zq6D8qEE>EX
z5CFp|D=$x!px$5swez#FDaZUl_Rdp7FZ=JKRPn%sQCH=!^i8FwpKT_pVUlF`4<#^Y
z9}tOX+3@=CAa7o5cvWWCe~RowjO<Hd<rkD7p|?QDOCCCIU>jPY>t)X%&g^xjj*!2<
zz!33Z``&}5si5LS1Yx?yLF_*ai_D4usK3B%wVJVJuN#Xdf2^K5DG-bqkfBFf#F<ow
zdJ_L+paRH`#SnF?lX{uj>hsK+%}ORt@d%x9VQtG!MpA|&95W6-xeP)cAjb63u6k6&
zIG21U=0UB~$a>aj;GYie6~6F9ppDV3SJtkyT~YE>f`Z|r=G^hI6nN=5d7~nc$4)Bm
zdw0&uUdAUmRsQc4bP>|p7xA^g%ZZ82C(_ApK+WWD4@xWX8M=YPkFbmht*x%dJy3VZ
zsNOJiD*P=LCv9ONp;#<BxwVweN1D*k&}et&o@(odMXO4KQ*gV)W4)Zt0am~*G@;-Y
z1oRC!Ik8O?;Y<1qJ&aygc0Ti=5%cJanPU24U3wlKKqvNTdzjHcY?{&MCrZZ7%iq#G
zj$7di6PuI3eq1A;f1XnS03$Kwk%5+2W^3p4p4Kd{Uu2zow<4c<uQ!T+aZTebxbMc0
zS|o%c;uSNE)Z~pq5*a@OoZGjS^=+FCzmeU-uNo+q6B}fndBp|(kE?Z|XJN+%wsdZ7
zTWMR7BL0m4`LvRM{MJjeUTsF*bv$`u^sqP~Il-roxTO{w5in81YJe{|47IbH{HJ=e
z*$4_#@Zvo&4@o|-ZSR2c8L7x`#B3eCtJjTBwVW#ub7|VpW3IFmR()U1wB4$#OvTio
z<cFA<#dn?)l$w;A60hr?VAR^c#}l+fz=3z1G~Cg=vBno=3uXVtPUiegMgOet0#H|`
ztPby>9Q3`Ml<epF2seLy?TW?1Y-p>eN7nIpE?rkwr$3U+V)_J4l8upK#_Xje<>unr
zfO=xle!hjqz<!{|ZV{zUHqvgg?+*V(dE~pxzbc}omCjp1tQD-!R5IVKl|}PiW05MM
zkCNwfwR4qN?V!nFGj!i2f;O4n7&E8y*~HhSgRSn%KPKrjayf<X!tIWZyHu!S(Sa_|
zw@{fM4em>~9G+Cw5d!9vUDvu_UgJ<3!XHK;^%?eUSPENu%ROSgSywi4y47!rpJwGv
z>H_Zbu%{3IPJ9=E6!%(7T5w)l2|@T<%T6h~%RU)R4%{puOoFQ&UYHmJtlRd!vDusM
zvp@*{=?;{DP`=^l-{{SNk6{TJjpM`wJ39vsok=8&>wwg0BM-AUz8PC1xSOt7$mTjQ
zM%}BUX=suDupnv}<y)&;NZ6`@G)Kr#aY9FX9;Mvw|M&eaGljL<dH9Y{Rt;rEWx~}T
zrj_N>q}HIR;otY5X|}+P@<wpa)!|%>K9gaUy0mtS^HBHzu=9~a*XQaB6(DNw;d;p~
z-QwnCWxm#If(6~6I=0F4ssz(rJUH3h2r~~<@i8yN@47bI;9_Tt$Nek^GZhs3G1!7P
z%Nm%7FlNXNnaX~i7NhPw>p_;FRt<1}--%NPb$LT9!+}kHrSwtc_U^d6E)BmQ$m&MH
z#SsClxY_vN^*T_O+wwEPSVMOt4StI9Bg+k&Qq%9ScI;@T*L7>;O-^+=_}^1|SNo@K
z?Y+@#v|mUTRf3lds2H`Zx$(IKb!e(`5u})_=k`UFKRuLRB!_Q`(Z-6<b`r&28&S{3
ztuMetvteer6GYL7(+b5x-Hlo}o%Ahbs7F@j*Q<@RrbAIGmA=r~)D>6d3V@<iQ8dR}
zSDZVgsAL`x=}y}?w^jQf<)VktP$=uaTYeWKMU^RZlh!RSurDt!hbHTiHQ249L1RNc
zV=^H`%##okzY_vcf+KN)=as{+g2THv)R@JuR~u}IsK2T=B>GU_&qt!*Mj=H|;z~!}
z-+R`^-QtZv#OQJPks>sc?~S!A)SR3+U61As+9JhKz|BrY5&A-Y&jR-k53);rOd27E
zLCP=x96zKH{^7YBvf6s2{ap80jU0|VoV-DkKk0p4?~%&shohz1CQsJraXrMN5|rf8
zH%>Y8)bkLrv~LI!7bvm<(p9lVr#_9cm#D*Soi>Cjj_etg4xWInG!CyETrlJ3nv!Ea
zeYk%%xPKW}-wcEaDZAi%G)Jn>=lUf@l>QFONa=W+oQ;&I8}htrNXu(b#wdr<5!U?^
zsPLVoJG_)|k^}wJxGJ4}$Nfzem7$~;wiNGCaa3Pb<qJ0PV}&(RCzTe6qra(LBCFYH
zXi=5y|6&y!+<u?>-1Dhxz&84!RvbByHoIb~wd+<!Y~Vy8MC{-MsDr7`GcpYWu0k;b
z)Vu@4$&>ets>3i~G#c=#H2^bTR8;UG>TtTBg6R^v&NHZc5`B!9T3Yy=WHf+RBSMbW
z5IWpk_1UrU@$ca#pT5&2(!hrGu4^G)7RW8giESj&|3*7(Vp8m!ZRSH%_pueM7+19{
zRSopNY@Rtie_jm-eZ|zqrf{vF-E_OL?XHy5HO>2N(dLy;wn|9c8z39g-|F6eUVRVt
z)OODj*F?cuY(DdJN<}<bZW<n3kHQWE%FsCYa75HnA^Q3*;)|sAcOU@?18uGIp2P_9
z6Y9%!VQ2Bl@tW$bnPEYz56PY{!UzdkdF*dhQ+jP^vA18!&Srk?u1KeU55GIwr(X@}
zkm61;GryUNib%5+Q?5;QH2y{6N`5kI)YluFhC)|yUdVoML(cXr^w>@?z2z+vsTQH2
zf&5s}HTRvDmpin2o^2=f)|Qt2(*V*5R+%JKewMUFTy6-*{o|VMBcB2*QJDYC%j{-9
zualtizEkOHx#W);2L$!(8&G9XjMKGeq3Vk;8o)||8ke5(*JqU~guWVU#6HT)$TuMf
zjg;e`gDVkwYlJf8((ghdHn${`rfFQlSwaLfCx<E7qNLiUp>HHY30jv*uqAVsAj~8C
z6%RdsRgf1mu?U+1Zy%}iHq>d+GR(4XK@_8=+f@YJyiN?_yej$1cgqL1g~sz|AF7T$
zQlGZon_o2xd=}OiaU@lWe6X!{(z0GzS*)4Ajw)}}B0+!1a3MZ~h#Y#%Kb36?96T#c
z<j)!$+X;St8U8lLQ7Z`a)_Ah3_h1p$+;y*Xia#!>Q%PQ%(K+Us<Mp?~4s)8SZTiLE
zvsbU^JgvqNkdC!LJRr7^F?#alr9F%LZTo~Uy7F9)4=(FSZq&dl4^-?p7`Jz08BPYW
zQLC}Dv#)A0<YM|D`4tGXwFH-9Q@4i9p*QdZ21hO%@|quS@zOt^X_u3=B`#0vobm6N
z!IpANZ(q3$1Y|Aud=x@XNvSo7nrXLR>Dk^E=$NLtlCJK*ZN2VXs5vvMc3nAb$+JA+
zYgPAgTUz&R0D=qMeXBkH3=gP5gXu7t@2$tFmJjPL<webLkS{!QncsR1=o5G!MO=TQ
zg=LoUs7%10S5pp!ZC%Ii)Zr2oXP|#g3ty{v>u%ITT&bmvj>oF+`iA7Tpg(GU`Xwwf
z?geRr_Xctjm-4G=U;N#-hAC0OL3-o2iDrE2X2iRa9bL@{6EPrA{m@kE7|NzpFWJWS
z?5Tm?SS@kh<4(O_YrA;Rayf3rSlZHVo%2J~fbT!k3ZlQBb)&r7<CCn}a8N^<vN*2U
zY2O+$GV2;8INYF=%vTAzuAW^v=5g~HUwqMxLsuRM%9v2P8u3gk6G|DN5q^l0GyHiU
z$)zz<i@eln@9~A(mw?DDv+*jcY4uqzmR5a0x1_>Luyfuw>bQ2k1$51#dqe-gygaAb
zKpGY2RC(uhto-N=X`8lU(Tbbp^QgODx<6{19Wv`ItIYy})fy5UI}eexRv%8=544W%
zyyjZm`OBYF^W;iT-ukqyHY}gIqB}lrJg3~NwUiMgsDD6+2jyH|UaqaUt-e?6+8|@b
z#iaZd8PBv7wZ^0$6@}13c{EHUBW6foZt~TqVDK3^j>cus(}Oee6-y!wy|fQ#X{2pr
zn<Fv2kAuZ6!AL5dG64ZvvC3RIqG`@@!yLNM;*l0eQG355Y`>zY?wHV>kh|CGCnr$e
zdJ=*rAG0cG=mEF@6j32TGK@OBN4E5vEWdE@<3`tSXLP@L>fC~#WzFf4DU+qj2^F1q
z@1@392w!j6;xwCk+|2o-%K4(S6kjhk+i6e+al<kk*$u6KhP$;6{iIcN*OG?{@_NnA
z!)YNi(e!I=v*EE&VSKPlAmkd3g|Vp>jL|`yc^mJdUg>3p5)apMPO^3K^b-GeYDJX<
zX5WwCq5L%I{7Jq8xx)BGx}dsu{IvO7)LmlIMH}1D1cldP%;yQ)TPx|wWWEsX)s(?y
z9{B*Cxb!bL_AQ^;4#GFTmZvXyVT#}vu}5ZAqhrcx2TkCJ)i=Vh<f0j=vE!e1&-|=y
zE6oja#ru>+6_;As1DaGGG(9IyES$t$j;*SVE?*OFFv!Q*_dBEvSpH$|gJvy;OH_Tj
zol!27vPOUR3>1G@)mNYM!}Yz6GTHeY_jE|ON6626SgTh@cZU)`;d}VLx?fH_{Q(26
zpwi?hrCJw!!=y9&P0G3(g9r9Am>Oy}PRqNT#H99XaWN8_QcJM(_O6>5v^cxyRy`p3
zq@UEl{H5STvfS@yi%I)5i!g3*NWHb`<wOgez79q_IuZ*}od5fV!9#tTfz%l})$x^X
zsr7>@vem^^nD4LGUj%&-cRj<_ot7ZZPHz$$niDj_PO+>|=$}!VwERq{d*a%}SZ;W%
z=aqK?JBNdUKIOP@#OcKpK=$3?A?8S@XB+znpiR?C)N}&GrpD=j9e*s5lpsTNzk*>i
z`CLYv=u>!~H`%q|n`HgEz_8yXY6LK)r$01)zs#yveI3J&GgKaZ$Xe~alh5-T>18QK
z;_5kO44Y5{t%b{)qwGv->mY^Eg*!+BQ12*cJJLTe@<uIOGJ9^m4i}rC`bs1bQiR#s
z3xqgD3w!SJVM<Gyvv>0wTeIrUJN~}vL9EVc;&BDsIg>uOunm7M-A~DoNLIxrs#bqu
zseFC-@FKBQr8u#0@bd6<v|5}oyXi6F1txqUo15<><*k@;s<{UfKAaYcl+QR#y8>mq
zetVbAb^q29y63b~qHd7Ws>pfT!0YS+Md2xGYDVTu#t|l{+qUC|0~nYwSY}oh<w>`L
zzT}09N2DBYDT2*8fZ~+za9#b6s1*N1!CTX*0s!qs;uonTyD#bkNkBV*53?d@L}v@1
zBLXBLDjH<bS*JKIItzSnk1ebw(5e1#a{aiHrKO%?&17PbPFfHf;vzJ7t~8)w`SdjX
zME}5Arg!kQCVs+jX^4yC6I`_zX82rv8$9&)Y&4tNsyf0nbWixo@5=_DKU?}hTxYpv
zHw`CPwCP5WJ%9~<5MSvryi@20O<&)%`WooW)(B`0@mg8#;S8}$fFG1_vl3mHt@Jcl
zv-FNUtX7obkZ<&wm>)C_%LX=Fq-VT3mzWzmwM(ol3vm>{0m2VQ0B@P(cL0;~-(^_i
z3ItS!?Z!^6I#Dy#_Bswrr`O9p$Hp4NPnRLqYHfayHi5<}^$F<}N4yBJgyG$6ne&V*
zZ-{T>9L^#rIjv}$ua0e@Z{WM81ab<<KOOV2iZ1e#1fgW%F?LWIK9});n;^xbtqp!U
zqmQYcM|(s_*tB}F&HlxEet{if$8n{TnYTBKC%R)DW7oP`tj~{z4?u0THf;f*50DqT
z&rrG}ZW%h~ZABaeYkYrhha5&7x~JZO4zw&Yr|qs*du)uGZ#`<y{Qb)K$~?<V4pVD7
zZks?C(j*7I4H}lK8&}dZREOISCEks7dEwN%p(ea4%hwzCs?J$K;V~-)`NwfKOS<zM
z4AwQflkfb(bYd|FhrE&UMe!z=+=zn`Qy^bDu;`98Zmquvka6>E&aLT_+-Zj@4!1o3
zh3#@x!|`@VFdQXwUL$&;te<089;StVUotaKQN|BBfqIK>RH+Crd(>3|hkTVt3rVC&
zrb?83-3A|Y1C9H*<j-@ZG%STLwjQ%Xmau_Z7qgo^PsVo!<3&wb51D%Np&=vaS`$G>
zbW1{ecS2J9CQG2$Y88@MPm9E@<+Rk)ro$UQ<vWh2>e%+GmXJd{R^alpND5x*sqG=I
z*ErwKN>*(HgYUQFAK0DnC#nNIyOAkTyHRlz7t+vs^zF<e^T6zjD4!Rg?QV||HV|0W
zc-y>j=VjA4e}O#5qRm?2SAF+(#kZO-S+nu03(#fs$1HFr`NyoZ;CaSnr@7qu0<h)l
z<8$J~YY$oVC%;DM_!}=l|6G0Pv|-{&z^&0Ha><lLt0BcOGriuonY8>`J?=*9G{{y@
z`?NPB(M4e2uh~iLguLN^p~9<qcdkH+S)bbR7Mk|@r@Q~e=5~8#a0G6DNG1vPHfRvj
z#&k7dWTm7WvC)Lp4mR+B8E!kGdKkuIJ5&|261F14+&1RNjAC(+D5Kl*@Tk=kk7f8+
zw{6!306H2_94CGH41tup?rq*v>+873cg*?fW&3zH)_#S2?#K2Zk$O3_%K1=QUkJN8
zzZlJ_c9B}Z4G|`OK@#c2TNS9ff<``UIn6e`6dU=6w~f9J>3uH}jL+~$+a5l_nY%I+
z0mm9kXK%w7<d%UrT3|EJpCCb$xM;(2l{ema-pF4*6zd@q({Qgh;6DK8jYHCZKh7xo
z^*LoCi0+wS?HjUGNR$)+SCN<ybIZ{pGw#z-Nfix5U{MmN@3&esh^8&>Y)h!Ktk1mn
zad|V?=DD`~>>^$mgT^oo6EtKE+Y8Zk7O%+ZC`)jA|IHq$*7T4A$BbJlVHHQIV4~bX
zKPaOmYsb428NupEjUHO&x9wg%y!7v%hL|xLbza>8PyN#THnN|PiGGeSNqo51j*RR>
z#z4lvwB0_qt2P=qgGR6CRaawDVvzAV_Jvp1#IzZRwI%I+{-jSASXq36gM(vA6wwvW
zR7H6dIj^OpWC+$jr>(svAS2@*_*q)YNm--)BcWLKr!+VRigua;a@CW!c^8UGKIc&)
z33WUEP`gg#Gigm?bVNC9Q#-)dJUyTye_{m@(qF!>y1zI7p-JsyBMYj0P4K{Fi76s7
z-VxY<)%h}tHh=rf<M9(q*z@$=LDR{C4GaAb^$ep+EB3<r(a{61Lx|$N?(LU5V)teW
z^FmhI+6N1_;6T)~ePdWN)15Qk#3jTnZbH#pBiaV9c82h(5nJugpbkTpT5oJuc}u<0
z)os{%>?ag=B|*q-9Fq_5iA8*8+iSOk{=$aCChdi%rcXC4PO-8>C%$Pe`OLJyNQQLf
zxNClkH>3K&zB^4kg(bv-yYq0wy@%un(t=*_2DbRd<N}Wzigz$v;?7K%<}ZB9ADId)
z$4;pNi#zWWL9G1ZPK)~3DOX%v8mB&oE>+<1%BEB2=R>&2)dxL4)wwb=*jYC}UP&wB
zUlY$)%bRXl=~q7TvzDE!L#Bd24Ii8KU9y4ZiZm(104i9>59yS%^)Rx$&Q7wg1t&jJ
zbbA_XmQa|O&ei&KF>S@GaM;y)&gHX(Y-|T?EG*b32MiS{5;`2y3#nUbEBZ!+C~5WD
zJ#lu&GdUa2ot>R?T3d<mShd+GtHl7^+}u>yNNG0W;U`dV^zLF8@^~?k&Ru@AG&g4^
zc2HPIt30u}ry$thPm?1I;L=^iyYYZL_ERZhU~RQoNq@Y>%@3t3%;$N}7Kst#UWqEd
zF%M#GtMS4L1b>86WzP>pP;4{Z9Gf`gZIo+EQuOirMJnMn7-Gkk*JQ>OlSswxEJy8N
z@GiD<Xvf}$Hex4-$YyzmSAy&zvn|A?BQ)e{r9|B<In)0N+(?@8^h$HRgofOwqvXE*
z7HL_a9@Gyj$zYeb@`9>==wzO{7qq)$c7{qO>3PqWw{2Un%<9hB7Lx4p%OTBBDwNV8
zTBwg*o51X#b)Nj=380AqZDjN0dyxlw6~Rv#K>Dy-P5|urTvY6(o>`vNH-CWoA)M-r
zS(j$m&to;%()g}K_qa-Emr#*`f`YPkv`~9{R68NFRT*BpF~T^D1z2Y~XbCou-a3JX
zNy-MFK`mrs+@_#$s?qk$hLs3iN^{r8OOvy+roq~WSL7~{^vpeuW@beT1K(4&S+pAT
zrwU~oDT6@hJ6!><B`}f)O)Y}l$)og{4eQnQ!!cMgnLak+Lcz*E&qV;s(X)8WHJub{
zZ!XQLdqUE^o6_=&lP`qK*B8bDEMC)G0Xyjq>l;T@Z(^X50=Mp5_LaUZsr$UEo{%Br
zK*p#m1km_;X+!`&+C*XBWsS@cb5z1yoE^W{M1pAUA=ABO85v0Rl2vgHjT%Mw{;(o~
zNFNX*{(<@TuvPr-mic`2_Yb_T=lo7J+z~3?#B+NF8E4pl%{Mke;7PolHys@A&_uu=
zl&LvV%luBSIfoqPiEHs=eeh&y(&?$`CWWWOCvO?PJ(R3FoS$Ic6Q#Hhk3IGWmYJ3Q
zi$p`&8mQ#_FKQ=Vko4(@vQJ(;SUs%_!+JrYj7p6BdEBkT=<9q0PKdw@6b9WK5Pq(v
zpdO(l?K~f5GF>vXb{qjilY_=e^j_}gZto`iY~ge<e>U2#M5^ie%!H35=K*2QtSZ|>
z(S>eb{fQx$%j7c&HvB{j*@yyuA2h@)|Dpbn`sOMB?*ol|?ut}TWcSrle&5kv`8wr6
z!lA<se^P}|CqL0%A%lmDEmn=F^z3bz+j^_Kji`@@LA35{f7$vlbF3qh$l@n!H0io3
zB44ELYHLzIuq**@&sK$##by5#e$<b<yZ&(D3L$8=E_cX%$o8QXu5IoJ6ug9jNp;T&
zYlx6Ki`5vuSYQ}|xxt~&+h$|Dan+<AY2*mnV1-i~Nv#!_=`S_|&W=cU&^ErhgUpCk
zI0~?fdnsvWXx<RUg(a6kdXFL8xj!)3zbYcyl%(75G_Q8S+@NxlF`$JX)7O*7v!7Y-
zYIGHlRsKJ)=?V3p;ja#=qI8cV6|@Xi$ApER6p{?*^h*)+Ot=80KEjQ)?x23lj~oF}
zG$FSbQFB%EU&4#EwZ#T;S`jfLL6Yii(KL4%)QyQKziZ;AEf71DQpBi6YU<=`#zxwv
znGQjm8fCzLL2;;tT3?hUKLXv>vg>(PGkR1kL9XD}d!Byyc?Hs_O(kwYx1UJAC}4oc
zi^0hU95M8|1zuu22@~%oeHu9pZ{>L|kV4i*E*XS`lDpV76{2NnAf$~%Khz%=a`3c<
z+vdk?8aZG!qW*kAeFs=#6`qDvLo<%T7BrQ4-?tA;M2cMQNN<aPy+WK3UsbTXKL|5!
zUeUX`kSn(mjo~a+H|}^ukD=*PvPVL%I`;2|vM1>aCG5QmZ3d_Lp>IE18rPt3q%}oe
z*BsLuymS0TBJs15`1r@tnp3%UM?7dkV~!E#@6!GA`7T)MoRrn`QsH}yQ$e_x!6pC^
z4O%9mEu|}|ch&A#Bh=TJfM({63#AAVD9C(>lt%qs!&gCzbU>O!bdKqt|ETLTW;}8j
zc95vAio^L`n-r&kPULeRTI^|-Kl;8gVfN}?Sd>xg#Ae==SU6?%lKa8<2rko1(|e6d
z3{>`#+Yd<-GC;O&9jjI5KvI5RPL8liXEZy9yYg`aS7ov1%?7rPH00daWE?~BbvKUg
z%s`z)pUN0jSSERYs_415UWcsHYSa0Jb*Kx-1Mvn*t(PifH9p+>Mcge+HbuX*Vh<X8
z=5fK6dBJbZ9@y~r4X7P}Zw$vJz32fq`dlR9ep|G{h}KO)F7TZP2PQpjyZdTwL)7h2
z@5QRqo<U!?#zhhqEu0{eZ$5d`t!~P`8h%WraWVgg)&9%kc1e&!XXnQD9ts2@d0!+F
zp%)#12wgA#?vL*0aDbmE6{xZK=~;bOFzDxx>)GohbPdGim^@@Tmb^TiQQbf3u_zsW
zd<*Q*PMzy)L}30VH7tPEwt(HYPDu8Q`V{HM&laV3CE;Mg96Pj6{d~Xp&UYE7I{*o&
zYl*UvbpJ{)CKFp%orXzEeYO1c{vX1DD8B0$vm19!heRtYu+|rum|Kp*@5IKqGBZbC
zAbL3@j>mm|eavLtdQ}qLnT)VEU17TvbUobOpU5+^oA;9-gYXf~r!Lo?U!aM{6JR#r
zN#G$6>h6fPqO3O7V(Is~<aI_Mb|LSOw@($p4=@rH_UZyAhx@1ImD!$}=P&=mcidA{
z<%(@wP1$(T{v|=|fv_9g444M02&HM+t3yM`p*7wSu#R(QaEXg1yV;6Kw_t5#j!(QH
zhG~73O}}^j<1l-Lx5l|G#MvdQZ#iTmJ5xUyGAD(EmFX2IXb&IP|MM1-smU9O-JeWr
zJmR|64gKG8kL$hw_N#@qfZqPro@n4(lnhj@btJWJab(0bIXjQ)ulQ-(E0k@b#?lM6
z)=aDNryFv8Q|z1K%bY$~W|F>9{lCy?$E`jlb;f>lpxR|1d^l9ZDdtoh;Wft8?`c!A
z+x{v$O9wsv{=@B5=^_+Mwdr~)O^E(w_fN>zwlhgcP`}J`2t=qm&(6QqXb{OG89DBA
zil*$K`g$8n=xo3at4f?XxDOy;X6FAaa4W<@`&;{&NKS2lVZ;5HzDVKGKv<lhLi+dl
z=6ea8C<W%D<3cQT#GA$g?IZUVxj*Nig#T;!7k*e7-NsFGif$4|DV;m~g&~Tq3BT~8
zU+<e5h0rHr@z#o$P|}4}ny|za96neeHBM^gf&7=gJYmN+v;_d)3iXhe(`VFu;}N_>
z9FNv5LRCZ(tt-aQ@wX;(VS_P4a%yHJF1~wBTrBvpH1FL3zRsh}rZjexC~+&2TP8j-
z5<%~dw86=BO}*~_@Gvx0$$v&9*;9I{<nO_CBa(9_y0TrB-@zPRl7pU)HD!PHwmmcL
z;2fKYbAkA2pTxZ+A92FgB5=;chxj1w@!^#<7p7A3I1|%%0>#G%>`3&f#wO0MeUM4s
zHcsqbo^~-|vRAab9JkR8*!<=q)kVL<f|kdBNPt3rJVO^~PU<Vkl)K#d9n_u`2#WZc
z63<}+g-_5dR_|N_!GVM=SI?boBxu4uUDSTI4iBD2)g*te>K0W?oH77?maKbrnzYu}
z?#iHz<H^VS{XGrkPYc`Rfh33%ez>!vHe+|vWF;FX_n7Ig?}H>g+moDo#mg~JsmXDK
z676|Y!pHxt|9>V(86E6w<;In>oG0twRZtaxsNSt3)QH^r-RjqSjtE6hbh<ot1rmuY
z-HQ#8jB4KM%6c@fMIzgXzS#~U{MFalE#|x^_d)4_r^!ljX;~9*erW<Y6?+Hv#08`R
zZjmMM{JOSW#~p#sVaXU9X~YeVUO>=eeERdtvfe@3TqtQ1NlOrPvK}V9I^{$7(j`hU
zud(pzZPE11MEpr>^bvjHVvM%9Z3)?(F$!1FTQu4ZtksR4V&fQELm@boTgy@EZ{K^4
z=XLAx-sgJib`j<mTNl~Lu~gib-j&6Cf_&8$MuG6e$`3#kUsetLX1J?LcPuu2mc@Wu
zqNqT}BgTXS{LG`!Y+SsJ0A{z(*h@rdsDDG=|JB0GzJh@U*?*w3!1~MNt#u>b3bG1x
zw&TFWrNaiG`uT1E*xtc>gI5sARj2HuPRqPw7p_DrmAYHYFhQ4&tiHzWzDctbc1`wx
zR5qAE5UC>l7O_AnqP0~Mg=ea}C}6|9)+g);y`ndu#_yu$=&iDXi*Iqo|7a}MX7>z>
zxE*+bd&iZ*r7q}Scm1piohN7t9xAa^)*X|~Caj|AZCmTL)$K+pI^dOqS9HEWuU;B_
zPhY6&+|i(IPcM8DBRi&R8G9$N6a^l9Kl-bo!)pgnh_yMW2q$#R6N=vI7rOX?(^6En
z_;OAk{mmB3b}JrEc#LF+MR(8Sxz*Tjoc}V!{s4DFI2CGN!@aAnf9J|qII+hh^Nkgj
z`e^tO11}%m`~E@(*aC+RF9b6$N&5~fjP#NbnLY<mk6SCl-Omkn?Q<l~3lz%bs}V?*
zuXW8RT29YZ01y?lO-{s1aivt5-L>3eYpXoH>Lr6~MWV>7=YwAt%CP7nUF*RyiHW3r
zIp(8ft|<89oF%tNzuVQKe~qBxOIe%sIXD^Ik>1cr1@f0lsZ>#ym7;RxHXCEnG9W<3
zJ4UqZ;tuWr=n1iJv1}s{WAe108>g`GlM5G{CJPBg{Qj5Pf;c}i9kEQTCZ45nPb(5!
zn)<|{F^3S#|9pA%ZRnTR-6km*`zw?R2%{rc{0UP@G+}GiJw<Z)wE)jy^%mv%BCN>1
z%nqBb;--7uIVT@Vf*x6mnhbWDW6$?C>KmOhJc{T4yyk__imzcm<;aHu_6*-awtvC_
zs!^a!+Pazj3N~nC%mA-}y`@QznF~AmG7Ft)cD^;{iSKu<8f+uNU``i|NM49IiUezK
z5k2;euD=*gdXEd($F56phNCn6$f;3L4E}qdNQgkB{ql#-^?Uo$Pbzd1kp$!Q5y(9J
zj>M#4abS>64#gY5K1$vY0n*Us-uGuD;nq8|a1+`|jQJqE?=Of{QEuP++)ydNGav1Y
z-o7zraKxM%t<?xgUMcr6#rsdq|7U;#aOiR<A(2$Gum7z(5-Ih4UDL@nA4TK@yG2FZ
zrFGt9<)eab;QQ@QG|^k&B_O+<&)CYf4&FDv&{RTTt2k@EjO1g{p8=<-Ci^I{h4l^x
zcmyL?O#rQAlYxfcC?UJO4$+R8?pUYgXAZ3xx@G9(eNx8IOe#XFPk(my`FOa<K3yYW
zhqZL<pr!b>GfaTqGs6A}@}L>VU@W=<y)VfLiR8&^WrH>#>6M)a5*|&b6>zD4aP6}M
z($c<$K-ezfYFEf);$8u2$jFJviwxd)G#IXC`&(T8ZQH5OGJa=xe9<?&_D2b4uxfqS
zQp>tyQ+2yzHiWGs4*uZZ0^*;p)1CRx8evYoBL6#g&I%Ay)!8L-dFfxB+Eosa5rZRC
z7(;-p&Kvm`&|HqQ+}u1kNqX`yZyBLJc)Tch`IaZEr(3j0{umfADQn1Nj|g5l4gI3u
zxXWA~REwrZD82bx1qo}2*+!&hUTt4I6&HJ(^sRSY=`SIMwW&_%hsM7urz1|1txB2g
z+Ce49BQSXffx2g3QE@K>Juah&#;(}U+69c^aj4>;Pq5fAQyqxbRi^@3XtYvqD_~@?
zj@w@Cn>ah54?{b^A7*<_qX?VRD11eg<X<x+s8{0d*G!3HeS4>=C>@yJN6r3biPkQ}
zdGnS#Y{dewz5*zQmU;RAtvzz!NU>lB(4n~lW*%kSyxTmJYtkc{6!B8jY#bbc&;;km
zNThag&vNHwj(X*LVbZwt=Nor{5tUNaT2+M6@o~yt^Pl!SC`HPZH!Jd;5o=7s9pdIF
z9)iUzsQG?|@TVy9c@eN%GK{_GJp$Ja)49xhn{n4OnYmCEKP7Gy1qMRbu94TARCO?z
z1F5r>sm(n`v6p{XAa%1bo)dzy!{Y+oM^4`w-F{OJ4s@V7X0&`_rCJ<$R$UmR?6_>#
z-il}M+WwBW%EETvRDrm)S4|otG3HMDWQVsDf~v(Mr>tH7R(hS;?wuj~4sC+GX*@w8
zO`lq)p)s(2BN847B*KBEI!k{^{_BL;1}S3C8lfo=W4(!WK5)#0|4gM<@u-;ZLu;h!
zJ<(ix_~yyNL>hIHaLw%<XLkcCJ3*Ehi68qd(Q-yx<U6cgR53n}Fc8AcPZQ_r6qaw!
zrAkPCCK}HpX6k&267K*Z-Z#kbfwQ#ejvOt=gtR%UFLU<0ETU6T+>_&jcK#RRT9lkM
zvrcz#*vGcBp^4WlP*l`=H|05H)!X-Fc!yWP#9*_n;!@`C8J83O;mdrSu(vIGTeSJp
zP)Z8h$L?F`g3NB8jRHvEq(mu{nJgfx>sbh15?`N1v0fQ0euh)*@pb>%ABT+P#KW7=
zw+-RV_~GUdstd}mewS5o$$l^%6bnHAF3K3m>NQ{<@>yRNKp#!-DuL9xc-^I|^v3Mi
zlv?hQ_-E-rLgsgojV++ZSX@Ha+fGC^(YF)72}4MqgVQXhj*jYDWhnVe3*(F6lAZ~t
z;RvfD@*K2=REaD6NaQ>*<>~0`O*WYOH+wJHv-;O$&<i&(C9p3fg|lyX1ht`1omm7c
zT1`b&+OWa~OD7FNle-M}F$=L_h=CV=_mX9~(EoIxYjUuRfYl+<l)uHaekN9Y_VszK
zW^f?%ygT#I#!rph;J&0LCCu!Xm(w;iF2t%lU5EyBiaE1{73iZC`{82HU%nPM^u#3l
ziM&Sd6aF@B^ki2Mvu(R>eWaTA5;S!iMfB+rRBs_f)<<T?*i958qVjt)m5;Ms=onj`
zl$Fa~#K~C^y1%}c>DsyO)@Y2t#l9LW+8CrOqzA}TaxMlfSHHYHZ<A$a96sbZ-A=;|
z25<A3U>!5nb7*Q<(+&H4>6fESnV9_C)4k=Yd~3M&+F4GgfA8qk=O>!f??j?Eqc~Gv
zwS}TKgM<sh9B>w;(efy!Z7ILf?CW4*?I%5y$||)R(?&E~qv#Im7(2Q}i;)0No0;*j
z$|e6R6js;zb1Z5-{V4z2Tm_hrlM5HI1k@B#hufVjMXpC6_&OdS3AIjJ^hqwPg^-jN
z?_4lq17BZ?m(VA_FKgW)gq8E|d~Z$p(o<J}pa6IBU5<@nn%I-T<T2%v@!91j`jfp|
z6PN#PDgsa@p}DC-9PLNxA9(K+Zj}6E_w+Wj*o=*oSd?vxo8Fd>k$2drC1cOkK^NeU
z?OAaM$Hmzm`MiaeJBuO}^8Wg6%MF0)UA#_nRK^#M9RijS3IgvF@w~reufY!AOw))Q
z<iwAYSQ}jFlXAvL85qy$Q|@nN^^Rs_9RS~(VYq%Xu(y2mHgF=4eS{GMXa%%1`A>zw
z#RaVsxm{ll7yiK>xR_z2zoED<yIVR@L0jyN3os@%Z6Ra`#QN-S=3DQNS9t{Pv%Y=<
zG{T`&yWTd8fYkfa>DnUX#R~O(tvZ=jCpKCTpyXt5MjP9p7L@Sg%j(Mh-8w%JzDcsJ
zOU=QnsivUfY7y9)bWBsOgIMMY>p}I(t3g;T9KTR1z2%mIgNi#LorDwdn0j%p{)+AB
z`OJu)AR&6BEy=V7ZBgZSC_pdmlXJ=_HP6ob&7El)P32!|X_$jf`}p^!eC&zDAuGI5
z3Ad-Y{j1?p)`SdZ#1?9Sm?KI3=O3Bhi-o)LzmpFEsr_G51<n6}mH<JJ-{pUI5dBQd
zswJCZ2GotaW1BtGcaSBs3IlIrSi8*50G+EO^HK&$X_`bz_Pj46!vK2Rb?%TAbHtXl
zydp6Y@lAq~>ldwEl+<lRm^cy<+Pa5<4*HMS2|zhIf{>H}X%}DOvJIAPYuYP-6Ss#$
zCexB9bO`7J=;ZaENr12YgTU?SXpY43)#+-<=L7MX_!0-hc-lK5oz{dWnUV%KiuB3H
z<xF8rzJO%*kooOfC~QRlF7MgAc*zaLn-ugx%|>stqYN&>!n)15ImH|q``ze+bz0IC
z4Ng0(>WvuTq&t&aU0pYya#JL-{K%Nz6|hKU4qUQ4>1%Q!L>@nk4d2xw`UmUy&)i5o
zQlt1=8bM2yJveG5cQq%L=e=eDER=<_bWXJd!nD4Lj<!LBN`dFK=9PJ{%9uF|r1Q%H
z#Gy@B8~fDcYfW=sj31b^{~}3OJD2=%TMRZEb%4ElaKmk1&)ak~f|@3Yr<|Vp-2H9s
zx&^mjtnP0k`hYK=yHH+HV)L(CE|{?52mH1?0EBEnU<xX-je8kVhA*`GJoAp&v!oJa
zMkvOQG5ofcOq}lI+%tWRoW2=4Ln?+v@ng^lUpA_5F|bx+Qty5)AV&AW>rZ&a=s9F1
z<LD&L{Zi~8VlmO$(;MZZ_ig-UyVHc<<nt=?e{K?V0sd?cu+bH&|3EJRF{1uTuz}#f
zV==z;*DeN+_m?;sC!{_5d&G<%FWaF7-%g3rFp?%I9n3zFaLB4)lF-riC4efT@p6Jv
zN-M&zK*2ky=d8;Z&@6*Xa80uL2C|Zjq4_bIvY?pEeqoQj+?67(cH&YUiXURcPktu_
z$*AwzE)D1#5|Err`CL(8Eyj?$TshS;e=IQ@z?^RrsTHWCcY224MbNwQFGs_JT@Tlm
zO0Os7=wbuR(L+tWCb?H4(y7!G_kVWF*k&YSbM9q*XUjWJOSoBgEIj)>lAZTkO?s)|
z9okH1^!2&Tw?UgaIY&Y(q@v7?rWKQ~M;05cTE#9B|L&Jvp?^x{P(MWaSAUUCdMU){
zJx4zKrhG)(l-@l!TZx+S(a{YxsE)q95QSwX#JqOE)9f7nlvMg#BWW*om|g|?+N=D?
zmj`!vGE~snW){5=S@b%#Pb8g%DC7`~aINO<P$v{VM<iN&&1)O+K*=XveZa)LulGm6
zO&4%CnK_G9asAXE_;H-mWgjbXl-1=JE~N?e$!}#TD@agb*o1&4YZO5d+h~+)nH8Y1
zj13OvTl`%2rZIo40r~mEtBQD%qA(#4s5&t<9NmbOKf;_bQu%c@8{xtL=g?-)8R9ft
zx&ltIq)QIkjEF~>q)%1a(AltiA@al*$)Tk!7brON7o6><gbqdjft{e%zkE$#SKGH&
zaU&5=Hdj)d9PbI!dx7$LAW#RUk%*$~>Bf@{s%bhM9Tl?!ERnej1J?A=G{7-``A{ro
zB4U?Opy^#^&zKYv9X&o&6|KkIt5wT6FDcSIy!#O=KS~rk?GGGRm4JXP;g&w~TJ1va
ztl@Q*Ksg<&uUOm$g{FMC!sy3CM7IG>8B;YSbzKubnx6Sb<lFdsc`tE~H;*)=aLXdo
zVVZ1-seR6E`XZB9&9P#9wnquJayp>>1h+|iaKz#(kfEQT_@=}-w_^udQUGD%8LMP#
zq(77Kj@rUcE2sa0asdNkAH+8X;55<yWll=7{SyGi&z=m}WGChl6MNLLSFz-Ryg_<w
zxjGZhDA4GEHvip*`qX(QoXBkLY|Uz08-vKsZl%YQLZu9%>|Q?u$5!D))3HLxwG?ru
zVF5cTFJ$$781zB~4UfuZSUL$y@(;&{dWIV9)PGupGHKXzG`vH^Q*RD_jd4mBk*^Di
z^c|kd0_e207f0?eTzcW@PTw>_c6Royk%p{^Yd_IF7E2fvkA-*gN{B95RCA_hKn2n_
zF>%$sJ8R;#==Q!xd`fB5_f$H2QOo{8u2^Z>fT2gWtcoYWL;)aZyHJ52ZI*01UgJzG
zIVDhxP)ql*abRf4sV3%MF!~ST?}MR`;O=vopB3`Afndghk;cL}jNra@`4!j`@p9Y!
z$y?lSW29a5b}3HIfHkcrfy5>xd}HP(6*E@Mj8+VdV)$xR&<Qyymy0k}D2>vs7AlPQ
z`?Rj=b>0ku2!pRfC*bXiplA-T@=14tBN>{?T~!R?$scZ|N)cf+j*vEO#kM5dQ7wSF
z_Mu5%kUe`84O?L)PB3jH=qdopM5NTnxFU7i62R?BH&=ca>H|_{rTu8L8UP=dO}@YK
zYGQMRW!F>;cY1(^@9f37_86gWZVXz;^ba(-ky5xJvc_bAk|TABQMt%7rPGQx`4+$Y
z4_rSh{0C_ABReGcTZ4AJ2CylXJVJDo346HFZAFEtA_h!%+1LdFUe4~s!L#WSI^y{J
zgjT9XISa3|ju%&#BN@36Pxi#y!lpP~U_9N&d-ki=v5-JeHtj`<DAMmJ*3d1J>?QAg
zv^s4#AGqPTs7iaI<5;WhI%1FD&ltQ5xHEPw_u46^+f(#je=UI>H%?bOlBN?QSuKXG
zETB_<L#U3~(KzvC%jnntW9lp8qVS%t1(EJ<q#G3J?rx;Jq`SLw>F!RElJ0H+3F%x~
za*<g2S-<M<`M+de@VPrXbLY&Nxn}}e&lW!KCn+o$bp0mYzEROm9;J9Os_<w_U@QlH
z<cylp62fZUcl_W+&~y5r#QpJs1XAsc9$;EBFGs(2lT!Z4%q4Sf#s}ha=i{eP&z9cN
zg_|Sz|J@%2EQl{Cc;s^${JAb5bLxZHdk13CevNsaPEvf{Qsp2E{Q<gihn?6U6>l8F
z5WtMC?oS2<EREWjI?PZF&0LL-^^N23!;fmRGq*$vB4#dLDc^gzrR%}Gl+p1jbb0$b
zhWfevn;RL!#*)}QGuS|E_6IGCPd~Rsoz@pzAP@IadUa@wBt3g&A~tVc*S)VK`C&rU
z<Gm@4U0xe4^}aa9MZ2{{Na$RplUK?!imF?U&VUI;pVYo%L`&9eC_b}1pzayI?11Jy
z`zj#Fk_)z20Ds@tVV9vurNHH9QWQ(`d)d3It#Z$v<8p4TTMC`==C_%d18JAJOW&-v
zXAm(Vs{QpBZB38SGtGb6SrG6*2g#-zbOO}}m4BFPH1S?cxLj1eW)6)VA~@c6q_Nw{
zfZRhO!jWl3z3>V90gt?uxSOBO-Xbe8!d9oZ!f<o3>9K){0sDL+MIrI?u*zhPeNu_w
zUHsy{4?M1HmHIi)Ls-}ed<Se9vU_w%C3U$P*w;{8oawDcW0eSJY1L|t6x4M;;WHBZ
z;fJP%PcKx_o8hVw+Aj%ab1m>y9^dH78*3#kM_r2-xc<oPd*U3$w0Wx8s@4}hQ%!EH
z5nPK&1AmgAiZzW+mhtD}3OYNoX)Hbz<tG`^^2OGq?Ga`tkoYxEL*;@1DSU%-)%D>U
zNaH6gk`8{r5PE73pPH`mW=#D_AirB2HsOKMgEnPVjfH>N7Akn@6pio4!$>hSs1JUU
z@XrrBcnR&x4v%l=un7asGjlC#>A6(Ot3GU;$RzkUk1*l>Bnn|+ht0h@Z7l3R7Kd<6
zn_rVzW*WHVjfK8FKhy=_3Z2CThUb9EAo&&YK<%W=JPhy<sloK1qxmZO*x%WrLJERy
zwq_8pLrt<H#+bNBLW|2t;-X=9O?F0+^~6@-hxlbV2h7~1G~L)b;7pzPHZ;Z8_b+JJ
z!&mRT(mtq+Vdna}0r|U$!3i@%e)8@fSbp*_yqWmDuFl_lr}T;W;tbawJ>*?mvZEj}
zR-E&Z7C#M#7sdsM8HR%UrvMc!ak)vPDIu0n*VVco5O*r#%Fq@Z+ME88FhQxm5y$w4
z1<F5G>*almUZC6wA@Kt)FGWKANFVoT4;(>~`8*$@=$`k3?3Q#4+b&uzc)5Qy`5~SV
zrUm2Ai1&ffR^=|7tI4=Nse&!J;|yo~O_EfG$Pq{EeGq$2<AM7hp;z%0I;&<Q4hW(;
zqkjET|6+%~;th#sT=Wb)hEr7T{!~W?ff!$!u)%a8sh^i{qeO)ns~4h)9Xs!eV<&J=
zdT{Zomw<Q8zt-ee_;lnl`sda^HivKu?8Q*U5ljQM7=mjh6$@<k5xXM&4s+Y$T#C;r
zvQa76@I(%F&0UoYAUGooS4cYrJYL@wEjZdI`SD$%!P0>AiPyYMVn(y}Khz;f4l#%1
zk(GebpUcLR3L2A~NfZR&Titf&eNP;<jbBY$<9f5h{0ug~z*#&OmNU<+&+{w^IhvYK
z6uzGpn~1upTa}0V{JNspQt!-d3lNB9I>rRd2|v<&#2MPj|B$)vf+7+_`;~iK+~bE}
zxs1K0Y=G%+D*1~NblfGc=WUPiW26fR!7RetL03sx+|8j_`2?wUI+@FYnvz=Hq<z>i
zJG15aBOH+@)G5V?3K^s%Q#q^Z7xx{E96i!QJdhF^@DT`z<=KC-L2}!=ILWqTJ`G$_
zo_~{_39bol#!iAyfGD!FrQN-8ZgQjh^IG%2Uq25Wl4J7GJq5n}@s2Od&>H9|5m6_o
z&0JfX{s(lQg9RUdJd``7E?^1mI~)@`G(3?CL~~@W|2)>MdWnJQ7n%=rY8{3wlf}&|
z<9@`TjD879!*aNtoQ;?dC%l)x`cMQ8h^GPt7}W1fX1(fOCG59}6@dXfMk6If!;V#V
zlP==Y2Srf6eICdYs1>%Q1D?Nd%yPxgd5iu8()ABIoSjN#e2WvU*CW7Y%yLt=&!1*i
zLv+dFWLIIYL6|3!i+<fSy}j3b4xHbjJ<RDg3*DL6v3Muwih>g-YxdPEhnPQHuDE=w
zpw@*ZUs!6{pXOV!9b9JEy18fj_8adWxU&Ka61AZnzPiKUe*rQg`5TOd>!6kVxl@mW
z0waUTd*C8CxlC9xMcHzP;4EslXD0=B?;cjh$a*(<TS>AHRlba!Xc)#5A($D!fz(c}
ze`PE46o+)lE7Q&NZ<gQ;4OLQ2Ikk&!n)vX?5_oHL=8l=B`7vu?>&gmPqWILs#@i!~
z>-?rMq+ka93%}szolcVr;f2LUEzjnbD~Q+2C|M^h3rw21ANP5i9Qk)p&rhK_VLmY?
zt3#i?L*?ikwcKWQ<k4GF@p=VkW6<kr0{x*<Mv?&S1Js5avI5H60qGq}ig0OXSX3RK
zNN#@oBMIGQjgN1v6N|~56B37-`e>@W|F38KZgb_oauq1~>lymcX;g=9d`_-XM8Q|I
zd2$vP3u6<FdHB6(l@!@#?hzh^)!u#pc$*eHhZenHC~D!lyfiGgAc&qcdGh?3ls?A0
zRFWEQ0(JSBQOO`Mo&d&UdiDp$bT5#@YCl*&kpw$he{EANF*7?8#$z9JL+<*!Y0M$r
zOIj0rTj>CrJhfo!P%#VliBV<}gFWo9Nm}*_(aRtcU)bUi^h`!Nu$F)<QT^J=t84-9
z`thXCWwO?Ui8Htll4pwqXtKD4?sd5_cEN|@2lH=8XBB6-LpE=o-e86LzgAl8F%bvK
z1~BK@c&9dF15XXXC2rq=1I8X%RQ12A>;-PO>=p(7KUVj_P)-CJgkE|511ECm7e0DR
ztEzyPn`^O(g6qKm@F5cmTalLk1~0zfeKiC`eSMHj!bt0FV$j4xYM*srv!e%X8QRki
zd1Q&T4nuZY!C8Q~o*G6aRN>z{FOey2r(?$`#Shn~l8z|NGy~07l-b|ln`?gOZ0ylA
zcd#i=>3xm9wPl2+-rI1>gSy2-755T4cH%!_=Kf_svWHNTUYGQr769(;f(3!fw-Q^T
zeG)_bEhdabVY(zc63+Dc5_m7!@BQ#Qx$1E5Ic^P&**OCXmj#hs2%}Ig>$CmOQP(nB
zV>}s*ivR-dXj91k<DnjK-wnD`MV$%NpS>YAX2Zn^Gt~~b#`-}~82^vjNK1w!;0YPE
zW7R+PJ&J^|f0-;52q}iHSxp%-I0ZT?Rn#+K<CF7s<?|>i{XEal>UdRt`qMv3`b9dp
zLnFGUI%jjLVw)}hwOeBmH&<S-GR44Z#RvQx>8+}dxaXd^o_?HmzOiWP56XKkg|k#`
zjFHk+54KHikRz-C0%bn69H_rd6&J*i_*8*a$(T>HjUVIe=E1LaLD#J*LA2{d^yUgu
zf|Vf}qVy73e^SFh9=Rtl=a=sDgvW~EB#rN}4Bde+9M##M-X~=ZMI{<;?_d2|(*MOi
zyNvvq9&>uOsEB6XGU;fKe&In+WPurD?RVJznXU-hqk&`-XRIIhe?BrAK+ixU45Mn`
zYb-^u7fhS21q=Cm!lu(>1GX}X^ZU;EyIyD8Fe2(Ln13z4p4-#Nm)(?syQjnN(ZcI(
zkk{i92?CQyV!!AgAPeSAL}tbCLUfi1@*#VeT#y-Ew+y*pEX7oU@qWI(a4}SyR`rB<
z?t9}(1=lXfd6e=31+-wNpBIgPy}<}LuT3};jJ@J$mfPrE#;&F{*m5C{Be*YX_MXsE
z9epJ&4t0;x!rSuhPM_~<W7g<i12NIB!_4lWou~6cp;;N9XqFP&*Z6?jEx>a{rDU^L
z%Y)F)Q9BobaVHsM0Nak5WXbRrB7`^_9{f@wZPviyz?@C{fBNPZ!oRy<Z}r;i|5>UQ
z!k$->OJWN(Rbqg|XCnbUylw<|4p+Y-zM#y_a2qUlAxzuZa0EO18%Wo|jMXky*yOQ8
z&2jxA*)<L3BP03<bl=HVAa8u5e^}%JS{|e7E)n)kQ<I?pluX3kF1O5KCrrl-e($5(
ztu`mcik0sIADh>^8E(ohLNXtu3Fk=ck+RU+b*fF%kR3Lu8$2J&3VHb-MsQ9(cEU*(
z966?g2opmsF@tY`xfztkAGaFH%ix|3znwXVZ4yHTd4WAOHqrXt4}pbdEIWs2Ago>~
zVbV8p+p-7puIG@?+?IjC_s2y?2)YdtM*f6vY7656&%X;pcB>FFaPp|U<VySRqZS0M
zo)ACzPq+P33Ku>C*oau*u{NT^6T;q+*QTxP>_K&#06#mF#=NcWUl<xKHZyHM<O|Si
zVH-pBK8=%yeuyEhIf;8K26ZIL6f2o0Op!aF+ojU^gFwWz6z?TkWoXl8vY2BxFWxKp
z@KV%S3?uF}g|LgxM{$EmVaV%sqt}>@DIf8YmfQG8Cs8T+*aENA5r;0%_K8*-cHrNb
z>5yBBgY*qZT1@@dQPDWl&vQ1LFAA6VT(B&{g~9;SQ37EhMVH*n^xmIpGJ8*_jsWuB
zx92Lyn;~gQxmUvWy+Q4iOS%up{O)Zz>0D!H{HUxa?q_-x&7(YbEDCew|Ki8i5z=9C
zxWEg{>;B^=Osr5C(YH+t+nc^S+8<$`z!M&dy%yO6)X_sPx3z);J-)_52CE%I#2+c5
z?VLNlrl~6#8M8+1T%bxKXx@#3lvd>qHTff2;7nTwcioS)Gua}iOD?z;%PvSAayP^i
zTZ1r0Dd444dGzuX3$iwbYTvWnL8$N1&J-_!fp5pZRSq-=pyC#9lzE1>4n*Eyy5v8j
zA2FW4&m`Gw`@}T8srac}6oi@UVX@M&N`xc1+-~$Cc+&XSa>iI0$agNg^_@3n`mkc(
z&ecp-5mG*iL2)gJ{p&L0VRm<v&5q&r(^Nh|Un`q3AX*s3T~i?JUKvo|(drk|pEEiy
z*JQHY-2UYc29Y(Qgrpr$%IoI5sz0Xr0@+%2H|PyqwySpJA%XYK0fS{(Y04-(kJsEh
zN!%r|ed=18x{U<-PVo>E7&oK^dMU9I{BiqQc%<7hfDV-9&WK%<^41>ayiukD@5Pg~
zO9=GAM~69?gc-=J-~4C@?D*NlbTPdNl^i#Q@Om*2hxUA{A#OnF5vu{QN={&LC+UVh
z>-$7~;!&!EqmC&vcf+imm5gswrDG?gU(qgO-lo+z{#<xg58_Sno=}<Cbz|wsjuMla
z!QAK{1s->9aoPzAjqFfzbKMJKtv9LR+wVO8_`N?>>IW29A8KXDXUpY*=M!GiMjP>&
z?)CpsCveP$<d_!i!<>J2i4=_yLbpNs>uGztK6^==m)&2r7d_AWNbK@cTTiw2CZ3!@
zFLypt7yMyn%LcEfNC_THYkPlMU;s)}-dU|zp@?9~FL7l{mM%tF(u|19@pP_ZNzh7c
zGj&DNQm-VC7>EUND?#0@2Wevo=6r+Nv_;MG-o1XyihPW}|LV6GNRYaOFh#T<+(zg+
zndnJwfKnkCx;Pq%QZx^vE{{YCkhCl_cTM7Vj>`0|-A=ksAo8R5W=NiMi1JylSN9!9
z4jIpTGW`>&gL!lD2NsIt>F-4*@Wu81dRbuTDH~4qu;$`QvxX>!v{9hsJ>DW*Hh$^}
zmq7p0g=j-`yHs(^`MO&BUy2M;Q7~ZEPW%68_?v%e<%Mmja*&ajOVL2Lc^e3|6Hz_B
z=TzN43HrmP{2vX41i}Fi;TPk1%u6535j^r7Jp`_{ne{~)4X1ta9T|(Gdo~G8uCh>G
z$1n+UV3w1-p$xZ@%x%UIr;@SE*j5q9<QL48Hu_K;vuRtDP7jzbmH2HA#XyITK2{v3
z)TosCF_cc1i_-c6;g8p9qvdL&3dnt32h`j)T$A~uk3aI&{dKAey*wftiP6lL4X~dW
z6Z<+oqZV;4jdrl+a4SFXqb~M@0~$;4qpvT|kZIe?Yj;+5>A!)>VnIvzH65%fwl!uS
zovHiJ*yh8sW;8Z}WCKvfTc^$$VtT5!ADdAA0h2uJ-+&g|OQ7a&{P;jqAV|-vNsPvy
zL*(w`K+R_15-6x~+fw;C1MxLC+b_~(py6)RMvZjx!#(CYY|@XEdL67NM=o$fTg;`T
zE)cbw6fUs-aL-3^6If(9qnykWy)^u01WEk-qH>T|^pFo@=dT&(cN7g&&1zO-1@l6(
zM(U7z_D8SJ1(EOON+N(QbA9lgYI;27Y5?w?E#l2VK)&GcFFa^BN5eG16zQFW@_BiU
zFuu<>#g&aHTm<STZeV#=r{0|rTW4HtNqi-m@b}!SQOonlpV&eyS(if&2z$a7l2D^3
z6|iHo<^8_aF6l&4hvoWxejdU#{)_E{VugD_A!LtR+IffBIlCT6YQ5Ilj4+r{Fc4WM
zbYxf+6%}Jl{x7M`Hhg5cfmZ?iq+CzuAnd_Nsaka#Ek>A678Z$PX6UF9+pa&ayML@W
z6v0W0*GKx2-eWmb*Gdvl0)&o;Bq(wvB{)MGUYp|Q#3&oq6*e=$^sKrW78$W+iZkJg
zy+se4rX^T!`T`4`25W}U;j+xnB2VqeIkh@%#hM7j!lbt~AhNCVy}PU%p~cjGOcNaL
zlJ~_s5KJ#mqUqDeDo&#QsTHkW&M&)Ju1fy_wp9<iu*nu5x=jyt#&SM}`I5lM0-A$a
zDd`pKNt+*bFyj_owS>DherBJVZ*saaJE@c)FM^aCqaA&}^N+fV{eV!ppvz^lDDk(O
zPiBvskz-2f?J0!r=|z27vW>>Ndj`Z6K2XL=1kictE3z%dELc(&SICbys!NwFE2_wB
zKrkUojBk|E!$#pW2!)c)!kM1?i21ZQAEY|sty;_d^!!pXS{t|X^Y-P(44P6A&a&--
z?+qU@YN%)-3eSxY!dcZ`#$~Qy_rsWjV9#bx(WI)mu>{C^@1O4?!iW<kgt|dm#GzVj
zVW#Qrj`#bo>``NY=}}bsvjmcHypFDL$!9R?kVS2^M6}oID}h)L`eiM3G!S<vM%h&S
zy&;-*H{GBg#o?z$LQOq_=ozICu{D;_(@@pqcu9Jj*pBbH@<^EVa7Co4OdlSH;G#Y*
z7D4#VWZEsd+7OEam0e)x;Rv8*Stg2sR2;arTK8sRd;J9#GFJ2pCH2;B8#tZpaCdJN
zG;*}}MtdXnz2V@*((#qCi*2tsoJY#(aNcJN4D)`zD7w5HB8h;;Y<FzRs}FHTR0|PD
zZBC{VDo0fksXeGTL4+Sac;$%`$(hyvuMcpX3Ayc$+dQt<{$gr%^mnSSULp%L)iDQ!
z0*r+?=OVbVFO1_7p^{D2z+0lUloChUayX#au55ZbA0!cr&y-)H1%1CuYOT}YVlj(w
zHGg*jf1*NgV9;!}0}z=lZ8}+_RvV+OVFyVOyUSnPwM6W|D-#Ry9rfO2Vz0ElJUgRx
zuVPAmI8JPL@nw$EGnT-J*5D^|d@NA-aSG{gYtcYsDx8?J@kwbjtKta?xBp`L+JN!R
z?=n9jUZL-0JinK;>^gKNQk~9#<^<_8M$MbSOS-Y2;#;XsE<Qg5J4fk^W$d}okIIDC
z!dUME0A~KL1a;wBoPhmH=~s|FQLgr=QNCQw=>bSm**%kHUJeB`$_~Q@Z66Qnc<2a!
z(dborc7JKEFs;)6O;Z0?i){HLR7m^wl(_Q!LzwZ>y<hVZsN5r(+27aauEYDC=XAvt
zCL;K{w<S+tzf?ST)fJPZUa_SWsrFL_2LyNcERRT8zfOoWAxd4#NB(BQk|u&s9K4FJ
zzt&H;y=jGD?9qnzVGMa{CLP?>hwndG0X#aQn#GQduoQ7}b4I1LlB%yAk6%v}Y}}o#
za9iCfwy4L(iOe^mJuXZQln6{LyGbH!Z4t1+T%exn3>mZth+mV383T|F?3<Jvt8Ioi
zlufRPk)`Jfi!?Pg>fWt2Q3MWYsyv1hiJj7D>+2qAoYe4!K933w+$FMd!z!u5Ol@Og
zZN(0HqdT$}Ikdw;))s^l?WD(S>HVxK2$P_<7K>fdsZTfUc+N4nVVOt#GnlXyh4Edf
zi8kB-?Jv?IN(_8-OpP?bh(>GXdYd|yDO_ThH)U+?i#WpKK3lGVnYDbuR!uL9ukywG
z6w~PKdxlO_enY%>{)6Pv?Teq1mQ;ZvNDw>G;r4ta6VL6rNR@}#vPK+n6QrGzr+Jq=
zPLVpbz2XXMsLKD`(Z~H<!4qonBy)neU(b^x(tBPOD}h^T5BCOLj!?VfTjQRr5i=Hg
zfLC@;DCr>eMKrU#EvAf&nbdJq+fD!)cP9F2=D8EmJ+Pfh+iF{MT1W7pY2IB%{Gg66
zMzbD_vly0DU+PTD@c5%KAOAzJvqAwz`bf6rYn);f3Ea6cC%vO*VxCp@l>sSbEL(9T
ztc}Uior>(1LPuV`PD?!D-co}?o1^OjyT7A6e7~KF7ES*Twt#eqfG}SoP0+%C2hE&w
z#S3vv@%IDCn(w%IqvBcD*!!Kb(q7ljc^A!VDPaSnI80oJIxHkm(cO72bi~jjKKn|~
zIxdMBnzYDcrv&@fIEJ{2C_l4M0yZs?ivSpdJtwiiK{HJK1}jM<S`i`4$1>LF{0r57
z4R4Z{xsS-#ee9YCAi`S=GSez8x6ih=7&B7T7u@g{Bo>c`6>y7o;V(@>=GKl}n6v?*
zYkIIzYCUFb9Zs#yWMNh2v?o`L3zuMcrp8e8nI$Wi-<Z?P*#sJf_=`~R_Oie4#!EMd
zH4WgHe{C^C!V@+IhM^cEfDB9Z;k`aDoYjmEcO+tXYFhf(yne!H;^dTQial&h5({WM
z?EH%^1b^eOZowH``ajKWSjaZryw#)LjRjtp;n-60&VXlL!S1!#9Xtn7HUcHdPoST9
zlfwg^Ax7FB<@8TXP~GJBs1uD^^)UKywa_W=D70k577^;JJi9q#{i6rZQ3vUWX^+CJ
z1}2Z#tLeWwt`=2X&6b27w-Xe0_RLP`R<1AU?7vSO0+7fpLXJ?^5A*FuXMe|v%EqhB
z51STje27Ek0kJ1qLYOWMqw=wD`BqRC%U%y>_3tlqNNTid;#O~9#!~m`J7LHn)R#qm
z$kLL}Z%#WOx{g9R%xV*T&l3w71UpWKkR!Y5?6aG#gStVGf*3#MD)Z2!7C>;Q5A_k&
z`pA4uS+8m8U$;uD>G$kMlYTME--+pK`QB(+Oak&lw;e|~2QPEBj`quUHHste-tot=
zvbb%Z=3zW4sbM@GFXoFdOPFE6pE~n3V303-D7<#D*D#zQ&^B>|l>WZ}c9i{>HHfS?
zE1i)uX(c&DAUB$?$?&^qaK&J$6{Va4OFcs4K?+Jd>VEvS{hm)$mqIqIeT9TVzH1sk
z6MH2gdSr`nDZrgfod3|gInCR1wr&u3bGa2qFdpp=jGeS-sf(T|d3iORc=UjnH|Fn&
z=1)|!pWB&5g%@d-^4;T*&12Y4lUAjtY}XD#zHiwYdud*)d4Ar87bNo}i~2^ax(uV&
zi1st@Ze09r{7A$*d9ocP*ykV(+$KxbbvdV2j8%r4ZRMQ_x?dmH?$^>nJy3nNEj&d^
z43-XBbeyC*m_;7qQrrKhIY@xO4H=>(<Da<S*iG5_2(Pa_{Mu5TQR;1?w2_$^OrH@t
z4o*vt=a)5%ru`q{!v7nkt*W$INgEM1a!*r{&P49tewU-zwQ-A|P`gCVMBl48!zEnb
z%Cse>CKITW|2m|>3A~TlD##xNSP$8U`{d_^;A@ZPyo^kdNcR}@%D0=3vOwcYy$%Rc
zSw0(ZGk<9W-+3u4!gu}<glkUou4~9iri~TL!#<^c%oyeQK0xL1EKf@P#Wta(F`r0j
z>%=lAZ<t4(#-(+f&Q!=yt(0_x`Od14slJY+y^|MV*O^DWSmguhs70VYo4&PnDGb;?
zucyG`_6@=NHB_Hg!n-SC=NYT$A+^z=GB6_(TnE?a0fUu_uScPl-~(kM{BDO~;7*Uh
zJH3q>Jo1G{(;fs}B7tJ_B%s^96|2g`^q~TFP>V^xDTXcmro~2xTOke2KvlnRBiV--
zY^D1AVN=S(%(ghj;)8djWD*p75kb=NUf4c}Jc@<bq)5%!VM?#&V5^va#eY3rTg&l(
z$uDolAiIL-wwzq|^GvLVT`r$Ha-$<w-rh<2P?xCE&%In`PoJ|=aT?OYerEcDtzE78
zuLmWDZuy0&uO)va4py*PBmL>+q|3sQ*eZ+WCgt|cISEw4TM;F9uH{Ml=Ik>NU&Duv
zmU3Mgyh6253dQzFHR))ir@6<j2d5+;cA?f#^^L1XhmXtgClB{BpZ0Q;RU*#pjUXyv
zPY1-XOUda6989_*5ws-r-iO4fZ{v@8g85_LXg7TgI$dsf?bnEh^7V-d)pAQ_@*r=h
zb^-;EXvfI4*=_w{LcinOMP==&*;Tj~a5#)8TA=H@x%*<eZoyL10~@*b1AGONdq*f$
z^h)+XEV4?2mD>Emu{)-*{-%j~N+X^v$=yqjmOlv?pyP?4;*64d;_eka{fv3P{KEHs
z=k|n6O$(dIf6IcR;gXW>)VKUKc^12B1sLB^rn7O1QJ2hw3+JJM4(HCijrvj58d4)G
z2UEm(2OwQXvl1}x5Zl%5A0nS0k8wGgpV6Um3Xa@D@e~^pD@cAHy)sBA<7w{N#3`BU
zcv}mi|3+OFTk4#{ilw?t6?}&NS=)Y8zt5&yuv-^=tb?HpgAFBNw1e@z>f5mCXC4N~
zwk3)Jcsgjbm_RLT$Vz2TzZcXKdpqH@spD=vJyF0&>@@49_{#}}|M{qW=l36hB<h0P
zmD*LtzbK8Cvk|nJM3_PwsG`t*+&h*`#s|!k^gmFA31!Dn_9_+hWW;T^gsAw+0)P`#
z5l`Q?4)_hE<bVOfaNa_t#9`>e23ZUM?4f9p?6Iy3m)!LUDYsI{QEnr8FX8u%8X~N>
zmT#kFSWKDLZ>hgxQAPiviYDls?{ITFVU<=I-O_6o=Y+df8hdMmAPTnB_l?|j*lt0Y
zR@DK*x<yN*iPjv5f?3vy3$cf&ecuxw2;%MRU%0;n^v}iC8hbn$^L|kH&gO-O$|(Ry
zJXG-Iz2c-vAGQqh#lez$TGG7bH(0yz8`tl&lm@CJ?Is0@F&0722C-J147zfXXEJ+9
zUig2Oi|*YQ>8-aVS(CH@zT6LqS=JzK4-P@)bn-@Ki(!FrqPj*Op$*QgB+V6=cZ-Yp
z$6%gLJbzsUt>#8a;Hqi&ABNuLa`I|IKQ<!!hwVCeESa(c4DD`qq#pg88G=|p0bOfS
z#OYFpa#rKGtkn5Q<aXv;(R?br*6<z4hte^a{qb}{s&Hd8v|FkGXPPkBK@Z|anHNoP
z4BN|3!HH=JPHF8oIBYvyGVndqVXw2Ynx>l9^^S^H{3srmifYlDY}KZj70-Q_v^&TI
zb>JJwV<j%SSBhJCT~HVIS&anWhb%8)%j`gnhj&R~dJdw0^P9tSwA;rV+s4q#<pT`u
zLRTl0V<<=*4&Gq7_<5}8SB!CG`&PbtS(;KuQvL01!Wc`u@Q1l03syD)YLLGmE*Qin
z+N<U9wfmu&qp-3JngfU2Yh!RE9rhhJTNszA)1aCaI|paM*RM$n5{>ZYzSKA46^Ud;
zpEdZ(Wx$BljI0RaqD4V+g=C%}XB&7!`9bAHvOYt|p$U|VQ$vTLuj%|18F%sx0b5!&
zuSSTVBb_#btXU0gkc!49r-9mm+*KFO1Eqe)<T|p+4A94KdqLJ{i+$@4{Flp(^@NK0
zSOCa`9CptDRBjM$dQepp9w!&aK{Zl8+gPV!T>EhprE-SXP|?z!qp8pJ*&g9?UB}tG
z8xDckX{n6?OEdJH84+aG1$^k%{8?;*?vf5}H_V>1m(4pjDXfEaYt`Pz5j<F9C2CyE
zUtsS?tX4X;uR<5Zyz4$-oJ7H4ArQ?X;vYvtfJEs8jqOJP>c3XIlq$$Tswj2&dQS3_
zKEaLuf+q@?nF%l0${X`@9C0bvp8v;sKb%^}HfHo(nh>TptcSQ!TRot9G)x$`U3AUx
zw7k?2i8<^A6esH|SRaZuymOIo)rBDg>?)+|CX6=@))^K>1n3R1-dh!J5ci_;jsj-%
z?q1E^s?IG@l%8wh2~_-!&+y*M)+V^B*sD-W96lXyNb@B=fq>VJc-g!>e0%wY*)#tR
ziX*0r@opT69Hlf;*f>qE{+&Th(OyhVkj@ZmQveylPh1OUZEG}INZ96m#XjEx)N^6T
zC=|{%t%3>YzHL*;CWa^&&?PWUsZMyZ@dm#cA<i+t%gw~i(a^n1r=ZZG{bvy|VHx11
z&4=pxzp;obT40n71F!OUxxvEQy8W6meYzIeBugBWZE+8FW2+XZ6ziz%!muw_4k2tt
zgl?g9K%#mbBk1(jQi{)<YH+-jev78fXuym=WCIaxYMS~T=7iDv+yR&-z;rC@_OQuH
z!hnoUi~c?cuR?$A+m-tK2h{e~y4oW^WcBR86+an0G_kZOb_czX@$HPR0Fs=+Bl>cs
zNC`_o%-Sq}bxf{f^I52XGL)3MX<ucow5s&?Ag$iQ&=*|k9e!fl5$ny*b9|M~b_EC`
zO8BRRr>(p`qyve^u7ZR+6B}Q=W-M~kxT_}S+SbKg@hRi7Ew53@r@h*<a7T<iQgIX(
z|K8=%y<(JG;N@xm8)BC`RJ^;-%K1!WgtH^*A{2?egM%=^eQ&L;tv>=TK_Z5j)G`kv
zChzB-NtODt3aA*$QazdAA-DuGLj8vXd*~j4zQ<x1q<|XoX4?H#5H^dYh}riGggrGS
ziJq-X)rMEBdCl}WM37x0+z8L>)i7%_i=XI^MH4a%XgN7K=~C5CsE%zKZlM5x?h)Sv
z-xHNbOW2y8o+JRgr(unsOqZ69Oe!mnoaiWfVeiP0D-pmhQPsrmFVPnLB5W1SEn|K;
z8mYD+N=5g060(34)AVUrqix7-<}_C9trVbtXh`Bi_a32<;ljJkR!sKt5x^^{q=X@=
zX#Lgv;D(yl%bEVWrhw7OI7+wY#nCteu7Pjr>oGBWfkUIvBVUO6goUGkBdc0yT3H;7
z(d(=scdtE(N!cTKV+PtGGn}ydwaPjsaf&iwRQnvhUe2jDUTIVy%<HH&QCxzUL5H`A
zhN8JWQHB^Z1f;ch3wpMx&0lw*Y^uj((V)6sSi3mA^f<;pHSDka2bDmjMcq`sdf(H<
zd7P(NZ~X=H(foTXH-y>?zV#OmXt-$nxh<7pIFX@_KPg9UE#BCbUnjh-hN9izb|LW_
zNcIG90gz_!?{D39d>|7E{XO?ym*MK79~k6dnEHkDX!(m6>%UP&o(wji_|JRgY89w;
zyyWd(=urS_%YfV>&fs}h;%84>9^R2+Sq4~3E2j1lKE|~r^*srkxzjCok0t%IR?AYH
zpjlxfuh12e;l$jkV|3`+7d0wYztH(qrG#!Tgv#TTg0~2V1%ggxPj5#`$T$PSFb7L#
z0&i6S<|~U?DLi-p|N78-;SVbe?UkDRp+lu_c;C9=nbA}zF&m<ny3h~KVq6`tQ04*p
zNt|}ZAFcE<`QzipPY*wDM4f#$C{xL<eXvB2{rorE!a`9;Exsxe!ug#@ey0vqN#QSH
zgp47cULLe0MAR5c78d|H%8X3F7DU3ge{7pxP><KqR|&7bk^iRkO4V@u^seM*v+Zbj
z!bDt1Q%kopxAM6Zid&2yzk8}GHaR9C!cVLK&fJ2AK_=lM@LT2tzPltKwX8~~BAk~f
zX~*50PT#csQqE>AB3<)Qo*G9ArJtcqdJ+Z1=v$BWzrcsz&+t!hn(Dle6pz`8pQP8h
z;Ueb3zOAtnH}T2Pl_z+p`3Hj>2yC76KJ^||Fal@{oAGbBD_#sd;6KzOFqPsZmVHpE
zr*`M_osaRrw=wRiLaMaIY>?5(U^Pz|l>|*~^@ur40z3;(;iS!z&;e%k%4v#kb%qVP
zmFsAXCfM4D9cOs|!Z>~cn2+|rv8`_M($8yy;k{bTnH6i|%be@sAN7Q|R?+b%*svyw
zxU<Pc5@d~ZO-bB27ENgq`)5_5GY>KS{R+v%k{c{*YJ}~Ulvode-xUQVn&vT(%4@Ji
zwcVlAj(ifcTj!Q#R%`8E_E>^tbt=!xcG}NX;(&0>A}4#zT1XvB0W}h{*b0*ra?qxp
z^s&iQahpX09hF*y0IH<vX&SILyXD>)+Z|rIY2vWWM3<Vt^%56`a$A&x$yckJ$hID1
zUx}*LXz}+Pwmk2C0Zc~~{ex{&G)j|SJEG=<+87gGE<1^oXDn1CE$C=Sw#4v~IF+sm
zF##8Lt_W>R@;?Zd7pfpL<&_LwAnS+;SXQ6(H&k!-3#~mU)i+$eqnP1|8G3k^-WF76
z%E$JI>__GNx_nq@aPsb0dgiAml`LFKz0AH04`N4lSHX9*Xmci60=(+gd-%hrm-|-R
zur3C!dK{g*n}Z5xtd<eU`2UjhZ|ofX3In}pR7`)V>$GWUV<!BjUA7bSgSykJ9ZijE
z1SB<2k4x)bzbnY!(Ll060Wc{=ZbYh%2;46B>{Vdgg6)}O;*&<7U{eGDpMDtd>+cLL
zXTreBAkO)be5z3Qb#}y<ql#huMs2m1CgnjFUMT%azmc=1prHeqWGkw)p1XVQ_aQvQ
zgg;q&Ra!(8$7vKk7z9!3MO@wBB@mp8*_*s-PHY$*v9Q`ElgeX7CTThqris;)XSZpf
ziX&>R#c@w8`L2u$ANj*!R6j`IT8Us{o0GQzOSOW0J{Zw~dWDgWUZn|%BTn+$ykc?k
zEarzyCuCLwDc)?zZ_CZ1lus_>i_!p+nc5*WxP8iqRZtl&LgIM#W{1_?Zmg{}HpG2v
zMg2E?NqL~}QGQZJXd(Sqi2ROdPEx2Dx^GFozgmeczW`sG*}eJv+CVQK&@btXKTrG2
z<&ZBP?2Iiku6SZw6Sk=DXisT1Wc`sThGf1J=h%!oj;lL%oJY#^y2CbfN%(Y|xAwKq
zXMXTAM69Ol6G(SJ1-uks&s26H6~iUWyi-_DZTdQsXnN<Ry*UsfIyN}h<j*wo6KvUq
z#>xq|#qop^ZiK6<b6@Bxcp9*`rrUT%6fbNnzEq)hV!e!@>4MgI1k)6yMDFzyg^G37
zP1_8$4L~+KwvH~dtFzlcU?#~zk)ILt&>O$)^E1Nnnt$Lph?i>veB;H=6P@bN)DovL
zPz%gV!&4yVOd4rq<eJ6!I*`^-$mNUAJjoo%M+tV^;+kiOBb+p8yV}fn!Nx0BO0slU
zo8XS{aCk;ATp}3)#gPF$S3SNHo|*VlNc4?PVAXCw@n_x4>-}e9Iw_bGDwYwAIbOy;
zrJb!8404+!_Q}M4{#XA`QbhhY$>|qoZO5JuCmi4O$cB9^?h~X->wAhZu5m<ki1*%c
zHYhJGE(cQz*ez)o+Fj`FA2;(iBlfa+7`<=Nn=8eYffKg<j`}^THN2$$1PdA*VJG6t
zNjjj}`0i$AY&|v%dn$%?`?U_f;Q?o9G-z)SbAwE0Fo>7To1tr1wk<PjcxvytDg$!5
zUT=8E?}>D2MlLYh%OGU89=ph)w1iWk*AOjuHtdkmDTOR9mNu;%+#wd;&IdioFZB%W
zcB>90j0+R`x2d?$;a^hk7WU1K*U#SPPMy(_Z5Nd~_O6DS+SL-tnUH6oaS{*ouBqo_
zJ|Z8`2n|`5pxNtkEEaRmyx6Q|bc-VG<{p+LcL>Z2)!e8|iHH2bkAW1*p}nUyf)XmO
zYJY0w-!3YP167Zh_BLxkq!x~K##rBu`xVz7HCswaD=&Z4%f-=~Mtvd?tlM%+KVNS%
z#7J7u{qt!`vGh(ygnmU8{P)jVhx{nf5E-C^jeU=m88LbU#uHjATQhnZU^vxTe2Mar
zOF{m9C8df#bp903l`VqH7QnqiJSeB&?;55jdC<zSC7D4uno8O+rrF+bIgI<YT?2**
zhWnk_MVnup17G0PApWHsz;XRCI&FX|e2(5_P4d`3LHOI`Z2d9^=8&uJL4`d-!XR%e
z)4K^X=EmC2I!c>Pnvy{)JL{<RLTHqrwA5m|M$8TE4z#8|*pJ>ej&2Yo(@F_{w-gC>
zj`&;HfH*8lEB?hxA1(Q*WIDl^gz}_Wbpu|~>x*NGnIydOVj$aj_FfHk3DI8&nvDxd
z+gx^YKcndXx*;`;I9t($Fv3;y0$$D!jKIx{hq>-Pr(HUs_nGop(+{hbm|3?SPB+7K
zOIhTZV_O{&?nTAj){G)$2lubwwHkx2I2cE}S$LbVNKCyZ6Q-bgHuZz1X-&WrLGaJv
zxI>R;nK0=j78X1Bk!9#qGdV_UI+%mCYT>|<lzPvaK8G)<)xPF-sivvAzVa<NLDeCz
zq<Sykj&?jryAg-`ff*d1^s{m`SbDU#EiovxaLb9jWKs4$NhT;Ii8lvh4&h>&*L4dh
zFiJ7eHop;Vd8a9h2jYF?UIX(ZY?a55g7AvZO`WagN7Zu(YK1q~==Czdh+Lmoi^er4
zT3L%)&I-u0i9+n)+Xon7oPx>>@+(+gziNv9N4^9GCJmy!%A!&EhX7?UpuB{!RTWBT
zy|b)AbHzUIiK2kT$CMSN-^7E(bG3;123KO7Ap4|iVyCwzh>ATwcc{w%Rc+@ntLNAZ
z&8=zurX;GjWih)o(0QT}pK&eRMvgo2%hW+1*#MQ|uv`>YYdH$NspH0j=2A?lL&PLo
z`k7J1@3(^EA4KO@HY9C!czHYj%PUpzyLSvU=hTT(7VdG;xVvBu>AaN&MjCL=s+}V3
zWhFP8+G}aGw0@O2WWF7nC0}^0k6$@x8}7C}-b||QRdX!#nQ$<bICu5DVOGnHyttjb
z6ZGY|<;2C3!;eD7KZ;sUDOgfzfYZLAbt=+4c3AQaJR<n(Giw-7UB9|1`Ms6@g(4j*
z46=&+f+8urkM40@ZERMEHlfq3H@BR#r$k<G`JUUa2D79QuCo1l={p1nE2NE<{VC#E
z1?DU`@P}c^Id%jg=HRA1WV0L#24<fhlFSurnUgbHc)+Cim=<j8NqRC>{7Y*9RDiD?
zDZA-F3xmKRV*7=T+N;`TSPU8~+dYNXyTPa)DpF13tSq_^FH!&q=V5u%Aan@9Sg4`R
z7IP&4n3Wr}3}(N?h5Isyl)Ia{I(tBKPF<e~u=bOFW*#i~(rZ2cgFPF!f!V_(4dvZ;
zMFd0yHuD9wtfF#v*5P6?Zh>d|OH-9^<-<<SwwRz3WP6rQ*{A|aX>&F7qi9NI)><uG
zzLOG^v;%!W1}DKW*<Vzw5C(Cf?9V*cX8$oRzq2cOq^3#*BJAOt+y!wJZ=vY~JuN{x
zs;{{V`Jhtn4I=yjAzeMTsOY4cPer=Xy#jA9V!H=OM0Lj~LhEZ+<d{vk@`}Pi=kB2(
z>M@{F8PN5M*}z+BIzdu{V4>XJH<;sGpXe3d;|$a~NM7hsa>P^y<rE}$>Z?O8R7X4v
zy|8E;r{P;=wb&x~l=sjRNtm1g_>d)aMklbP)Jenjxpkg*w&9m7Imc~NF34pOwQpOv
zBL>5iwyf9Rcr5z2R@m773LD3VslLy}peu5!wh_dd|E{7Rs4;wsv%aM6g1)(OgQb^o
zA58^9$jNJ!wD2%A;S_vBi?H1=#p-Cii{+|$Yoat@e6>Kji`4$3Rzd@Rhfh;H{x4Ea
zA%K>}OxF&va{FIh@gVYc_ZP5opHS~m>20ob-_SHT%ouAqN?ndkR*QwNI{7JWVf!hi
z*a;_SmHaJC4UCf~t(*WgmG_`dhM5DAjA^|yS-H9sV<}C|_Z815Hf)|GUCo1Ju&)_{
z#Xcst-th>g3^3#ef^QYIr5XL2?^s{_3B8MP`9NoI6NoF)TJ0;uQ8_W7**ubAa3fq<
zM&?E(KOGXYiFifD)YCL4^EbD3`SOX`7>~p5V!byTzE9}5WHkGEOTqP`uLyQkU6>UE
z?6TYDy~5k1ftFU<bBABD%Lz#@rL*=$IsCFB6VY7l%B~ZVW<(oKvG_heqfo5_o@AXF
z*zjmr*mBQZ1~iRyHk9+smNDF}F7xkPlRG?aTQ#nJ_ya36f5VE!v^np;umS=&MTFrS
z#tYE&-PBvz_=EIV;AmeE5afRbK8lcT1mdxBEEZCHe2cJ~A$YU?MoYlg5dI6bef9GX
z>91g)Q}SOm6cf2ZXUIDZ_4pe^hN6M9ba*nDFU-tQO4BqmE#lBI0>2I@RgB|7LTu}#
zIyh1?#AL+-9hBFC$?>TzU#jbxeQkPbaDu*y3r8C2An+aYZXK;Dnq=G$EVHZP1)%C0
z@#!gaY*(BE-QQehV&^WRP=4@_brws(15RY@zDdl#pp@$Z`ZB<39vHXs-ry9xV?}ct
zOfm0iot6c>4O=4Odc${ddgk5Pc?#G1-h+S)wL1tc!ar#F>aDeYmt+HYu$L9IG1(*P
zu_wsCdQTYF)MZb+o{2ZLA6KaCnfP?+w;);k*H$Trznx81&QjoCYz9dM3TujS_&<JQ
zA<Q!e?JwKl=jVjQ;%3;#XB$#l9CfmU4Ot>vzzx?|cf+1GrKV8~QC7r$s)YYSSjV@7
z7NYm1H~s)*BKK-iq}(Z#D}5ArO(P^&&NSp^O#m1IeHTSsq@@!RVLokebxo)0VET$(
ze*Cl~!2>{yC)tgi!Eq-l_tMyapa@P9XsQUiZp2paxc+mbfvyLfB|TE!hN|Kl$JBb7
zsW~7wWWJ5>ec*g*d}90ko3F`SkR}F{IUUO!1yAhSY*9UxJE#4@mL5rbHY%$?p)PtI
zynbSu<BC{H;TE8!y&S9_PUd5sH{2^qX8+A_aCa7;1fXb4!wJy3qyjeTkO7bjJFK~?
z6ISc0zrq<S?J;{Dqy3}yBz{wSc6`-s|Dc(pCd_9`8DHB)&T+Ym0cFfr0TM;6Nl92g
z{8?%Cao@L~5B;bocs$iiH!j~P-W2#s#Qej!iKd(JE1@wZI$bk3_3?9s{v$Gi;Y0z5
znzx2eUKKnS#VvzO#PW^i!a*9>u#{?OOTIrrhfHZ0M7xN4F=uCdr8;a9H3+JrO3#OE
zz_`$&?&_4cFcb@}CS8wgnBm6`8i@!zL<jIEbbZChi}v>XR*-mEs_BxL`o6jx#s9&6
zDHtau(~;8eno<W_NwwTFDQ%GcCqX&l+C{fRpTVj%6{9W7xcaD;wqj2wd8W-$3OqLP
zx>t_D)dETXS^GeSoV?1}f!|ur`G>f(`-2*YC{a0;1exKtCqh9Fc-F>eC<E&k@|$_G
z@WpM~<&z?q=<M|}qtZ_L!rA2i$akY;$^t47jf0VZz#qFpN%Wq&ZdIP)HZEvv_3-<@
zGDydg8)NtPIV0TQUXS?ox|rL?Z)sEsp7o+jjBiHU&^+)1agb;QJU<0Y=!g!hmR?PT
z!C85jqtAD9_zefOcrcl}`j)`BVot7{%Fa@Fva7#Gkoe`pz?#&t3Ev!KrwK<WNN!SO
z{vlUdO=pj1T$SC)$L_meH!jALzB|0K%|b%I4P!Tdueirj*ABeiBwwQ6Gg?CT4NlU*
zW~m#9NP4p*&&d{J43G~oAMM&IT3^>Oes!Wv^kwI|w7zb^Gm8=oQwQ+Jil(=<Q{x>D
zvAr+pheoPrvqR<>iHI0nP--PFvSiKn)zSfe);U)aPKWjFj?tXUl6FJBzRJS{LsI+i
zu2ZzI7x~2`-`?fto&}A6cmtx&0u}U*Il^3I&UzQ|Cq~C%9g7@&bWopDPLH5j2_3Q7
zq5s7^i>b;N#S;yP7|2L`AbKlQ`Z|-wQEp07MPVMuz#8|VLf^M!AtJtt{}52}E_L*6
z;+Ux?OH}gCdt}KuOX|KH3K{;d8T}ZTLqP87HYS%D;aM%>Eh}Z1aZIRVyK#Y!8>9tP
zukfV&;Hc?;%0O!lEU)Q)XUrp^mU$GMeaffg;*w|F@#5yYVKZPR*#bGKFr|h3coX4y
ztDGiD?*W5|YFp)N8xY<uTzvEzsgg(R<vs_>KQo2g_@sXch_0yg6kP(c$xx6t<>U+t
zH)3SyOs%;5n!heZ#_TcQ`1~J4wS|Ql&!g(rWIY)MJY?Z^tcKL44s(MNm0I!b(?4~!
zdPF<0%?bUFel`{FZP$=VbQV~hTX+R014IsZp{{i)lJjkM80AMUJK8-PQ973-s*b0w
zXetd7dEx&A!*t*5h}W#g9bikVvL<q=369uFNdq6<Aa=^h0X+`EH9}eaK8iXTETvAt
zN!WdDFpn`{Jbu!Pj*ID|x3xjy@4ZZYTLdCWWk2Hk0ZblR_JXS~$$nYcI7Rn%ksDFb
zoE4|Dj6l9m@548=ZGlIU5~&)ByX$P}eF({9DDnAR&KfTO#-}xIB*1c)NqEHbY-5Ki
z)q^P>2bHwmV4+S1L+e!S4LKrF^P=+C&=+UdoQ%DvpiPp%^!uTw2F;5-OGK<0l}@iy
zCD8D-(D2#H0Z8=W_QH0es^XgK-Q?HD!ST-atQVR$%1Uy-oh#_8M8Sy+a5b^nMt3ke
zee63?-LDPB2me_ury)YQ=2PFph5wkP-_6++Oz4Fs*`HJ;+5BZurX8C??QpBs3>T{(
z{J;~etiY=uBF2eFbl>6}$PNp|_;^K<#0jy3XhVCMpW=mbPV&<@>OPJsse;vIRa}$#
z<CJT``E&F;_|=g@g=wI>Fe;iOnCW4+oI%iLVqL|h>S!?TU^<<WQ{4g}H>J@Mp*1G8
z{*VF>j(`!<zEaFM{aGDm90@9p2<rq@=gmXwQAm|38Oh?^_6mrJt$5K=!8ckQgqKp-
zI;wacRxg}3LP(UK|Md-usgJn;@ek&(&a3k>$=;+m$K`d#1NvFa*hXA;wE%GN3pQ|>
zZtruTB}4GUoQ0!5(1y2F4mkWx-BtZmT-O}W{o{GiCXU{i7}wt%DvK55V=5>2<;(<u
z8m*n4S2rU!x76Y$l-$3ns%rc8!J*PF&VhFi3<Of_9~@xBk6@riOkyI#Zo7B%h#bm3
zkC|a6O2Z%_A!+I81P`XV7AnJ&#vi1yi}K46M=_eii|A=<TLEFAgM4U89V%O&|HoI6
zl0%E)z~51O4|P>vA68U}ikZVxBFS+(Rc@jWbrMsExlE7=sX2bSg|8~sX8he)mjH6A
z@`~c#F+cGQp>`H~k8yVq(eU^(1BcZyM?$C)BTOGZ@@5Z2gaFJk^uYsh=%|Z#-wB+J
zeZt^4s1l!iWiXvrQONC5LA|N-q0z!)<jRLXIMd;3n%6&#-SUT+i4jF@zZ(P2jnYy`
zPsjff6+UopB%Yj#{l2V^TyrY5bsctB6c(REY#Z*Fh7>L#n!eU%9ma_nWNk=dmbkSw
z5yCX<YjrR@KTD^&oH6r`RHs#TEWbxMwg+ou)gP_?ilSNbyflQ5j5*=XS(IeW&Meu|
z;Lo*y4{a`kshg%uNlEFs6U+6EhbIcM8nhFlwtjeWq6Z}f542>DM#5v+%JtX?8f;;T
z@;Kj!-5H55?&w%eXw#q|j|{u$a^8!UncLiSnB_hM`HjSp&`d%!@*#8D;786}MN<<K
z=-*20f-jFQ$r|H0N#Lb=Q_uUO@|pSh67l*sbv1thyeupf`Rtdi+g3+2A4Z7In-`RV
zvC#8QgoR@o?vO^#IoXO8Q*<>Lf_Y@$Kvl)-T-W<|$Y_yN-<sm>QK>HTgUOOX$Qz^v
zgVPQyKuiumn2Ni(vnN0mo3?xh{yT-XXH70Smw`PBu)~gghkbf{jzR3Osp;X1Ddazn
zzYcP^F(QgGysg38`pF-9@(4q+>KDD6*^+SfpsRzI%t+dUx;r~MVmfRzVu=%Bvwg<X
z59L(##^1}Rpvl(}2C>1&t^jJf#XnnPh;(PkKFaJu)MQ~)HHQGnn2j@<H9~1?c6ZSd
z)!oE!XU?;1kJ?rJ3`l%GDG1)Wo=N$8?-B(GFDDL~An^0@MuR|3dfmPR<%%FIyt8DZ
zYGyf8@=)rygcis`tBTK`MHLic$pN+c9iQy&2N_yhT0Gv!$@o0oyCr`zGV0Yr=VE8i
zxU}EswE7Y{bnp4{{PaneDMBfaKMJx_lrY$Hwb?HGBPkKl07N$5{1WF<N7}T?fHCao
z??42EM5BNo-7zr#9<kHGmndI~Awvb)8}iRN#X5@WKX}?K{?NfWt}3mZ^sTobK$bY@
zZSKaHN!TfleW(@5n*8y$+_j**a<~b3F11(A(03EU;u-EDvt%U@7(agUI}nV%M;B}l
zSG{>s;mGq{(Z)1hYzzfSP2Yh61{^*}x<x!aq_U3OAtZj_h9V6SA`w}OIGI=Yi5sun
z0H(T>={BpMDb%k>3%z8|acdN=`4Uq6IrG8I*S5&ODO-)cv3^wfqi2;u&cgp=>np>e
z?6$uZP*O@lI+gBj5NRn97+Si!TRMhDKpH_xx_jvEp&N#7h8mi8e4ca8|I7PvxURY9
zV&7}+z4ltaaG;B+1C0?nX$fNMagKvD&ButDHYa-}E=PR>nzm@E2R)-^F^I!F>Rci<
zH%r<TiJEo(tsB-IX;j>3p(7(0tKO#~8KS<60PK4o(eRPr(z$~dKsfTH&PcA+{Z!xB
za(QMZ<YISx^AWbzA4cJ4!5ru9<wcp?h1<gkKrxVOu%2U0l%CbB(C>|SOLw+lp8cz;
zY7%?+BRjg*<4MbD*WneUZce{@n62HWwZ|WB&-(%N!*RXir6jHn!9;9Je4X%rtG;zR
z6hQ3dOE|2dwSq(<oA8<L?c@0tzOgEEsY9f}(8J!oKD_Sdz7~_mTYIA}qK}3mD^?eH
zd7-CHPQwsCq;ABVEKN}tY5xiA5j5LlAEN?D{FOy}W?swe=N}o0vb?Hnz121?wA#5X
z^P^y1^3A6DfmSZ_Qcu+jYv$Cb%UEia7?f}qq@Wtm+n8odk8F7=5eI?@H5Z4JM|`Jv
zQEdVldcKWZB}ZcD_>-761w{~S0`?b7z|TnHF}VH{yBa{cJh(WZDqAl25h-L8AI%++
znyRYg`UM$8P!6}Bfdfa<Shg0}Hq9U!!S$9XN;;Ii@$B@Bul^Y^j2Hw=S@aJt)Y1Pm
zuQn)ZWW1;jbgAQB)ouGUE)9QY@cgZ&iI5tSu;UN*aBb54nU==s)s4^qIM9};4^bfi
z>Qlw`o@=5QO%f1v0S5G{*a=EZ;!Cit4I|)2DdyJ^h|MD2*Y6@w<!H|FrlzKDwi1;;
zYs(qv=vZIN-NC)d{(2&qWlx`;ZFGlb{QYiI+=CRGR)kSWh)dbOgHDw{C|_^dJiNTo
zpO!SUC6dO2{GS(IWwi759NJ*gOkLbOZRmLf5cHoH8F+9r&u~q8F(9n{{v9<XbdIf`
z(B4^z?5a<9{nZpo$`kRNeuCyBP81nnF@)W2E{nI8A@_|xsrSJMZMTqA*N7jm*)1Wj
z6|T-{3I`0&n%CpoOMO$Lr2JiuBrh9Rzo~;wNVa?&#-j3S95fe41PY$!5o~CAdR5Iu
zQ`y7__lu74NT|kp+}(ipYRs3EwDI|f6pW2CZML-rw4Uu4k<cEcWc3PL`M;eBJkGB<
zAc^pJ-+qiXFl;P|A7I_+nkM`iJKnuplw;h&Bn$3bxs6bp*Jwgq;c43|6S4Ts#EUQN
z#re;k_5%mOR0bE=Te*h<9IF7FMotI4Co_!i`PdU#UK!V%E5|&xBPb;FMuM5PCJtn4
zYl~gz1j$h14(TP<k~NZ}Q9AieN|hw#4FJn(!99LIQ~;RG2F&AYu$xe;0CskEyq?;&
zY*%lM00$pv;nr=|nFm^quK#%-@Vbi_;UiwV+c#ukr9wwD_doV1nnkJ)C+kQ%$+$(B
zUk>Y%vI#C0i$6IQ*JaJ_!qdy_RhN#sH>uhFZ%pXa8^78~?VEF-1lnpcAqHh=!T8{K
zUQH{-h;g6^bRhug$%;L4?HEO^zAFMlro)Fi2$42YYO(9EHno=Zo^#TzVQ9}$DrXue
z2O2#}!oI~O`=UkAty^DR#xjx-w~sKMZZc)uG}^euWlcynBz;5R29ZDA>sy6wP>CmU
zJ`=t1hD+xO`XqwqjCSp`vfd$V9R+V#mJ}kKI#_taSw`F)Z#^BMY|POVK4qM}@i>yL
zmUly`Z*fnBTPtc;v1})6*3R^)YyNQ^f8xLA3oQEY`I5`TJhmR}fFG!dVpw(OdQMf(
zA8r#I*HlfA06^J*P&RjcBtU<eAxj&DU%f?R8GMP)w0#AZ)yMtx3<%#d;j}!Dy9<8^
zHf4b029Mr4X+Z{ZCH~zu#c}BAkUn`qER;!}dSmr_+I@Ew9(wJSe+g#v_NUz45?Q`}
zJ`$2~G?DS{%mv6I)!}&`jqcRRI{a4)z`Bjn|L9eUXMpv-jwJC#tjk6akN)P75~NjW
z*Y#Olnb;na6(YzI5pwf*Wr6pY==iWAi|0xk64G_ktAdBjB<$kS&o=uLM6=h$n=p3b
zO&dwEB?YW)tM^ZJ?{O*y@if$o4^lD!@chx?*Mn&W@=xav-UD>G)5i)_p1i%jh4I3K
zIc`wGP*OME;~X0)64JUK<a@rIfOi#H%|yNrO>SSy`zFfHrM}nT>CA@0Arks4*EG1D
zYn>`vuSLn8SVT$h-iI1J7CG1%&sA+)Y``3ywh(KB1sxl2JxOgnUmfEw0hOL4%!YEe
znu}3v5RfjL+fj+DdXzUb%<6iWm}cH`!gnXsk3B<(#n^4u$UwlY_Etq)gSDK=BqafE
z!%y1!dQ%ol=1e2Cc_&XJLuOMnIh**2kM!vKt=AiX>p|+@HE}av`s*A^TPe(JH_q5S
zEf&uuI}Q|Pn;*u+tsinwWYcwySvL*3XFqjVd0RggsTAdMwd{HeS*jj&#Dp@oDx14?
zCpzC;-IBNnO6qAGD3Tvo{gSE@T^IYq3t%&_#sqj*RO{=mxVs~LKGi$v5)~}UgPzG3
zT?ww|bvHW-R=rKQ0Z6_mELQh%V-5I~k3sN7;1l5&4`6d&ybGo|gEAFCAB*myEP=ZU
zxJ&sEf<y+9TTb-|C2%2{o)pl>x{6;4vWv+}f}Av~`mDi<`k(cf@^Hw75N7AuPLN~E
za9f|_z9pKo`_J15b<H?<_=<CmnP-wN|HvP}(EDgsij^8aJfO7t$<L2;K~<Z43RU0D
z3Tf<mC6wNc*Ct4j8OXEDg`jb-bLg#f6HJXJ!7O1y|1no+L}kAuVEnkhJ~DHf4y080
zYtGU67Zy!?y3b3p-WxDw?!G6#EvqCuI?s{o9mb>$=X|dJ@6j^1hFKlFNEXk<*(*>Z
zg^e6#{hpl8@iV_t`yRoKBVGfCDZr$pwCuP}0DY3_Q`Pq-@*K{_txkEcf-n=?LVZlx
z=+vTpJ`O~42nRts1|RvB1^9!-GcxHs59Lefv;+Yv0eQ9GJf-IvYqk)X_k`1Fa-r+8
zw!Mo0R{Cks?5+e@uDyCucNVNPYcGI>+H2de+EmtXs^qH0_T+Vc@}ob9yk@9s7M4C9
zR8TYIIe(cj-o0a(-!KaXRRavZ0FLcvnlk2Q1y&CQN~7DaVQo9cz25Ve8lu&Hajmlj
zTK78VELn)ZvGB%UI{DZF*kXl_6D?_#kvU)W8d{-)wa@e0^!TS&0uLt4ZxUn2I=C9b
z#hxFi`=~h{fD{xm_Dpq;mK-MLkS^|8FTEdkWtyvtUZMl1b+_e@kCdLPtfO9@6)O$b
zu;X*DiN}O?q|UEhZME$^Iu-h`W@Yf20)VYuD8D7;rq?mDVQzR%(5`F_=-htK+){Te
zfm|PkmOUV*bJ`1AMD*C)p%$gl5`L$+`GZM$GXP_3q!)T+gCJ)~f!mkk3VmKCl76eT
zD<H3~tM_@cEtS7Oj*+4mwn5>p3F&tUo;zY&PSkcysY5EsEb|(kZ&=j59<1+aTeJSI
z9+Pz1R(kqlN2x#Zq8_4k2r-5=KeAh%)<x0boa&F2c$}p0HZ1zuid7x>vw3Pep4Qi&
zYqxQ-hg>>?HY#~eIS1dz6y96%%c0SYgMu=Kqivq$O!CXorv}CqDLwaX=Yx`59AJ_j
zSpM0Vr<jzdm!$;C43WZQ*>dZN;S60-ub&u3yo4)-pHpS6p8!|7HA@ezQ&m@xiiT5(
z^Ehr?yE&!a?PXT~1vcQ!PIdA_=~}NRp8XnYJA^;hS%(?8z3rqt<9Adl`n`7=0YoYq
z5F5JsiCZA3l4)eqPB*>j(?S*{!4!IiyqX2PTjyL>p$ew^Om>qo*gc*8u5`J487x4t
zt0i(*UFueQH_=xAEImEKc<<)9a(v^pKdVr)3c3OloO=J{ww}^%FLQMia9;xHq(L@&
zml7(jmb7*5O>FBLT#p;B2kQ*3wfccm@}#J+<_hfl6aUlXHLw2Dti!vjTChl@a9QiA
zyKjYS)0_uP&Cl^(;VD+|$9uU}0z7L6yi-C1K&gi*LXt!+?|>hb=PQ$8G(ZPo2^>0p
zRQ~2m%<p(gOJ-|hAan8~ZvVl%FXdY_p5=8W$&FYfze$U02JFIvL{Z&aR6XW7c^(sG
zI?~>ig6O^Ga`W0&`903-W{7RL5oRB#4d@3v2o+rqL*}GY@^6z^5x`ib0^bY`JAD?;
zi*{ZxDA>se+v!tyMtfJ)5ENU`Jsq3ZV$(=GY$v7PtUU?GXu8{Xql>UuVBCjrQ8ILd
zX*PXGW{on{;yNV$HmDbYXpo6WZmT9wL7?Dy*OW;0f{>4M%io>4H{}CSPpjuc_Yi3x
zq@(b{^TCZ3xb=nH$b4U4ev|LVpR*}JfuvD*l}2|JeVD5Htc&aK=!-cxkDFCio!2Yb
zjaX21qCH0<1b*U#4fBWxZs**pM*FLUKQRy?{eIlO{kW*}P!5<2pj&t{Q^Nh?-qgLg
zx5b)LAnIs}RUK9mzjlp~Az5f>koG>+Jj{9IRsS-50-<O@5)}LBN^c;+WbAdx!tK<+
ztP7>iT6C*$d%i_xMm%UNpubi}0N~s{vr|)3b0}!fh8(q}OUg^P`-N~9jA2z{%ddZH
zeB>q;7LY&ONGcFA9HHQXi#F0n*IDRU`?@7wacg4hRJ;R6dO!=+do{qMoRWm0=fVs#
zFg42g@X5f393C^-k9^K06<O)E?X`8LKJ;^bCCa6J;Ih%k@3nO!kDSOT&#)p%t;8OL
z*~MOj&*56}q1f2l5<|^7+Wp(F6}Ur8o$yz_4az_wkwQwP<c(NVnJrD)`D+qerD^~}
z@gAIp3VCv(8gahWD5-FY-fUI0wnFM`FdQHhVw4xhvf@)JYF1ZwselS5{7W(^y-vBV
z?`yAXyM>#4t6*2&edj?2%zc*;L8kQ(aXurSoBE1a5%xv?!R0a&9kG#vJD~l3k94(}
zBk*~@NxyY@Dd0Hz;o;}pm#TNvnxz+0uif-Y9?P!lQD_*t78?S3Ej5Nw@aPw|DY`VF
zZWV*pGU;o!eIY45P|{;`!JYFxYE>WJk6`}zUW63ucsyKE6uS>j7pqx597nZd%3$!#
z^jCx`6NGYZQwD93+6+Xa)UILtTWMydx$E5FmRf&DA%**4Qk7O^659)E%47S{NAS*U
z%}}DfKS!?CNfD<g|8rg%=cj4v`oe|wL!EE2sB%Z&jn6PhCC%d%-p7&iM;|qbNfvCj
z49wUCMbkPK_#tza-S6R51foZX3-&X$dg}77bHKz%$vAoIRVsJ<;QyR;yZG7G((@Au
zbu>5R_GeRJ@%8kDb)@YPzrdwT%Otj?^t};ZpAq6u;CLK;Rzdf&)&=S6x~)`D#jDI;
z`rNM<v0W})Nq0B7?=esLhj4-3660z2W%bEb70%CXlnnxqQa+fDuaR@cudLo<?8=>|
z{=wTHJaRTKEnk{HCJ(9&=ukO^WZ)+Nn9B|h4m8NiLynU8&Wtv!ak@XgQy`{t-QC?)
zBu@1ydyonPfKeitn+G60N&`l6bhE7=1r@v^*nZdc;3v#GeKVi2&zp71st)cptgWs6
z=~Q+%<X5t4J<KGk(b~qF^#GcJ*7eUmv5qOn$N_W;h4LAco-3Ccn0DRnPxD*D<XU+B
z2NeQC#*feIuN8!=C<&MX4-TxRkhgxiE)V%1+grESftDPZ^r3eWV7x+u7Tay}GJAKQ
z<0r_PhPHLvYE|9+RzpaGt4-VGY?V+Ma0=gkjbXHnR3|;<N@vzcg0lJW&6_u7V+mDk
z5@Umrn!3_Z5X6>g%nRP-vYxZvEPrHymihKtFSHXlFKCjM-t^v+o87zJuGslIYPm<M
z`ILI-fQRi-8-(VrAUelxg>XSfc_!#~GmXaYq@*OXc;i{e2<unY*`@FC=B(R%H3YR3
za0yHUe<v$e;jZeb180*pxaYn?{CzjMxH%Ji83Ozj4<Ra2@0*1hepP+235VS8rx)bB
zxp9VFFzV8r5}ewp$6xk(tlB?Zfh$%tA6h(g7WGer4h|1T+hjS$uyn9WNUeR_Z&z4B
zN!fMD9=%H%f(vw=U2e7+b^T>7u$ubw%AqPh9n+yFoojro(CxtFu)d+j90?AP8nO?t
zpJrcJDT;N&{xvl}M?Df<{)dd|_sLv|A?H1<*|k(XpFyAJp>J`?cvxI%BW#NbdaI@-
znW0?g$swJL3MUdFq?M)N#3Ur6ZKbZy=F}-S6rJj0_Q#8Vu8*&E`sd2aZmeNqN2kc6
znqWEl69t%d%2JZ$wk1(@RBUXzdHmv{cH-4B7(b<jR|#rwy`){CNY{S)>@#mY`YJfB
zd!}EJBKhHBsaWfC8)SI|`-`Ti)KiyKV?jkHLHcHnLzjpXdHt|`ciW+-2WIPQ_f5=s
zdYyO!a&*qXs3eZL9U($4{!*N3?Tf21)2qGX2HH%dL!VQgZ0~3~&k7dFYq>@}@>##)
zMBzNRK6mNzGvWB7M(amAk_(udXZZ@e*n3PG^A6wEVg-1=YrFLw*ivg0bw{Om1B$>3
z^$V!lv)sxfS`OD2&u<`Bon!90T9a~rybhFN*&Wr5(YQ7XO#;z9qd!9Y4nIKO1AN8n
z=Z3o%&CA|r1w+<)mqPMN{O#Rsj{OedqyBsU)ccT{#_XoGA@jP|hxRKht6u$cCp!1u
zj|m#E^1p?r)yVzY;y~+3`=yTBaye_m5?k^1&ymM2Cins1!Rq;x=-ay=*<cU1u^9fh
z2yF3nmv?6CKf#k3()HH$Q=lggGVAw!&`LLV{BroSj#c!-60F7F_U_70Aq&^eUFk5%
z@;H&Zi)DzgM?>^5sY>;JD2<kYR}bYIm5*s9V73b(H?F~HlNRY<eVvk3ztw^~H-tW!
zq{MozoG4HVr5<jWo2U<#Bd)?DfA@~v5>CIESYEba?eq2ZEpVhApPkkCs;-_Y+>7gJ
zVS$puX3!Uah&=K==|M(DMiImrp&$@TElY=!yOdCa-KE_<D=vQ5ie%|+3oD!4={0BI
zd(CMsCl+@-C#n)PHalOx^GL^o{Pk7l&B=zIL-liJ4p$3XIi``55kb44=fdT1wr~rf
z-j(_yABC!W?V`c%cNwHJL=z_WZ=?htzJ4*fLO!OF)WqlqH*y%<Kt6*WaTY(4<9`BC
zch&)uyHBI(R6H31+v@bcdS*_qkNgTsRR``v(<q(W9Z5e}dcKJ}4A4iM{azd4ANev0
z$<o=Hoc?yo6-lFH{_`OuQV`eA8BT%;D1qUdgt1WzImK^5-(W_*JECo0cc4y(q-1XL
zt=oLS0ca^Z@xSr@X>Vk*klRUonC^N4>l#i@dNr>G!^;eRJ)z_L4)Mabk=LDE(`*bP
zy~Vgj$B#4K%ieLE?0~$;)I70n&$G{aLDBZSHd5xj>s$l+oFYoOX>jt2+lCD3_vm|J
z%!GMpP4?rFK=KtCt5K-NIYu6Kr;*5eU|joOA7qo#RxKQAjZ*Ir;bcB*r%i5QVVl)P
zlz8TzDvW}P_9x=M&dI;eFUG}U;oZMd49=GZs}m@lOay`nu}6tF=3^Ngw9v^snKwkt
z_r1*?--D|Gj0!8k;>mnI*?xD$#o5?BZ0!%{XmYLbL0Y9K+qQuKw&5mwlhq@1VtLY+
z``+M+-amSG#a9KzJtbu`OD~Xqmq~?b?~tZmn3PXluf6y-%#7ajdcaj4q!E9(w285!
z$A51q)e*K@|2p_l|C1WgXPIONw{IEAiClY_$SU|oD@CS9TW`u#jJ?EK9Lr36%V_6b
zG*L_neA}$_ozF1w3GWQgPQaC5^>z8eCtc_!cThWoeBsn?7EM*<g6`;{Yak0DbP48@
z{^-dY-#N&TV9d=|{;OLkf+;r8sFy8>zW;ui{xrzcoc$dqEk~@yJT(en{Nu-W00Z{q
z{^E3fwhx!I0f?1he>QCPf?MuikgC6_#VgPi_rd&;n%^+ZxRt>1J8X>7@h&z#HI^!6
zoiHtkFb;T8qEt{<`pNdta?%b0jCOst_kGkRxAph0<DTs}Vr2!<7ol_iYH221vi90=
z^teS}39v9jtNMzkX%6a(_$Ah9;*ym-fEg^D)VfB${B|u@b)*S=zy{My1V`GgJP*&&
zdOaIx+g|Wn(Hygm`=95^o;?1z_arS6yX7ps_vVO6x=t|{^}P1}@#{#|=(cC4qyp5X
zW8W6iu;xc%v?3%TVk@g%wR(JdYCvV(3)W=KK_~^>W{LTe7b<7-0)<t`#QaE+vB-6A
zKWn~DV@7Dj5FOM3qX_sMOfyJ|QV6+Wgke$e67=J04iFLjK3{lVs4;(I>3hB<CrRq=
z?w-zRV%v7RFwj>kYs6r{oaLH3FYBTp#%B3!lmJ+2zg)7Rv8G3gZ^cd|RO7_5ytk)q
z-i}XMW(IJ|#HQ1-I;fwg7;y0)S(KvX39d^qXLkDh*qZf0nk(F47d42puqwsqJk)>R
zGK9DRF3+!RYo$yP5I?bW!KBZ;=A`M4!xhgUKe1Cuyji4<faFI_z9*pb_()ABhhYA$
zf^)s^2Rn#1oNjO0jy<iwRTs@bsn^ko+6={vDkB}y#yqQFCAlAL)DzeLO9dbY0bAbn
ze|bxV)&r2nKpFzlCa+qvASBrgNB-uh3(JgN+E{%=i`cZA?~!k=Lg%%g2jK1!ro^RZ
ze{%CeA<`x*tjLzOi-}3kcu4#6XL74kF79wUKklO7q2>C?pDXJ(c5{gJq7%i2oL9z!
z{QR2uA*2xMvdL6*HhZ@1f|m!JtLpJ|rWOoDPc$&3<?KjtbP4Tmv<vIsQlktno3q`H
z{<-`-Oqv6G-d>5p`r_?*QX^~RDVGED#R@dK&97S2I=Q7Fl+$%{dTXT5#wXR41;jM)
z_P&pN6@69799-Jl=<ep07V-6UlI%y6Mlv$8`6g$&7*YX*s>`Hr0c^JlSqb_dzENdv
zOXzOBZ*Fd;)aZeCteK#ufdmn#g9hZ_;GSg4ZPBY~wfPqJQ{#p+PW*}ggH+H+cg%-C
zy@<}>^Gz8NFl|qd*$rP|1q3qc7{%O&Blr6z$E@F3NC^8J`ql^zHYX78$mQ*U_tJtW
zrl1(fUj&%rQR-FoyX1%>&|(wE(sVtF8N^f3gv!V0WIq&gd`jRSy8+UQf@=HEW_)np
zI^qr}Sh{F<;8gBb#to4$nYP3k!BGX((%%=m?1=ZK>m4`D%ha!=wGn8)JI538Tft@I
z+GF5zPp6t`<EYW8w9Ax%C{XwjLd50(bH)`}<?Vh))ErIv61sQX*a^1{H4@t0R1$5d
zsb$5Ubbfm%Sh#NQ&-|!&v|kk4o6W9ER93wVrZDUXc+30`vZ4L^KfYIeXr6Ch<`(|L
z!tS7v%z-E4B)Z@Af_XHLeU(Z(r3t(q#|4^ZB2n4FXK0nSOT5Oe4A~Z_gUlM5xXQ8{
zbrN8dK_=~<bGcaT;RNa0u=mmVuio#|woS{GCS-f=5UGV8B|f~5o;GgdoJ}rn{~s{a
zNwQ-?jkdUlk#pT~vsWaub!Q<;t$Z!3DYAC~WmRBGCY_Q}s*tnd=$I2q3v$xgo?X;l
zLzc+tI_?0DzPy2_3P0}C>C-FBP*O~FkBPTVn?zRF&n7zW6l-zy<#*5advKqoqEVir
zz;7>g!?Y7dHff`uXSM|%N|-Kg+LE#LEib7vM!v~}kg$*{IMG?_&*Q196mL?qyVUgH
z08YxB48K)|Sy`z1v^vBO?5^iuG;^DNz%5)8Kfh!vR{L!Ea!qtA7hTrp7M&J!!`0Xv
z+dXyPO2p-6Md*Fqij*FUc`?!}?PN+ce0$g{b4K5wvPYAQ5yEXQ;~}ISNOq$!7whPG
zhoOY=gjW1ZV1!QE(diP=hvSZbIB4n2=J3$t*JBIZ6(QX@e<Yb2rnYDO3VqY5`{QBB
z-?>&t9vtT)Yec0RQk1l<AB0_3y&UTnhTVz#tPjSUlY_TY|Hq=zK?~S6_krv8<<-&?
zAOOgFS4G_4s7+n)J3a~eZ&PJ2h|NunjUQ4}gq|l`p^GdeNOp|+wO1?x{lUiFP%k!v
zpK%XYLO34+mIqvA!m~%5CvH4WZ$BEp;HhPQ%1owIQto%OVznd<{XBtidkB4}WJ18+
z^fMUClJt)w<#w#v{rpS9snaqjvAM^4<nJ1?IE{oz8mpuU&Cd9~u8{Mt8PD&(?XgeD
z`s2t!9|t2YXoG78SSIN{ubIp0-Souu<tj5n!IGNmR>vWE<-I*M$R!&^Yi?|H6a4R^
zzEioTobr)QlP61=(D!ue!Fg7NB>K6D6T^-CzG%B2KsgURmR2o@Z{t<rco%6M)51wU
zJCsTTi~pcb0EB-Blw~#8B^yhx6a;f`ZoHs#Kp4B_Y_em+18^8@``<BdjxG+s&y369
zGW>T>RVG>AesadRy@jeUA7Q8cxPG3Y3Dpj;MQA3sQI|yL(02`GfXq7l99MbnexzFe
z^{k$4Qhxwk(xOJV`^r8n?}v32k;tZSS^PNo&kZTr#weY0V_FWExi`|sk71UM83i-j
z^>Ja@>Py()bb-z_eY;-U2cl9rwK(eo>;CEeSepH!HH{4v(&vz{<?Ou69_k}~3Rhr-
zYK2E!Fgq+CSJv<GxohUix6xfB)`!>lH*-((Jbx?AOIsSKk3!|^VHTk)nSC1Z^l#U(
z--Uu#n<dQ_C<-&S9MA(#DDTY14LNwi-0hysTOFP8WQd>9Tj!q;N$tF{oW#^!qWW*a
zgCNSc>~!*V%&d<DbHs4ucSoK~j*T4T{{6R8K9IP7yX6VrQ=Yv(%l`&Y9zG}ot}0n|
zK6Zj($1AT1BN&OH>nk<BKU1}GOdTm$qKa>o6^2si6>&cNvH`u;AUK5bBqU$X<20t6
z=#iSIR)~8~gk-ygzFAOskM>|^j#9Wca$*lx=^2iHFW8{4S#eK;l7Q#t<Y{by6J}BM
zAa9LQ(ePUJ(6uz9Bx!dDa|J$&MtIr1yz)gYKJV<vJE@1<n<v5u2GWF2T|Yx^5Vs2K
z6PQ5}BMIn#=M?du>IH7Eio2yCH!O|y$6+n7cgrF&?Q(eOUtE4KBe)GdQ<k-GdJ-%u
zxkP5$-(zC(h$<In8OkeXte@k&-g$t_w1yYwbF|JqyU%NRcf|D~lVooL8zCvL7m?*b
z3w43;DeRdn4!usoO?+-{>i?kMksXLsl;hUt;oF4fZc9tDD7))hV+}=$!V0-JkLY}H
zyK0%~NY(r`Z*u{Ec~zy<-=e7qS%MFJN*WFne-v0?HZrIg%7k%618Y#DOpo4a4N)oz
zL^Ao@Iys4kRCy4nJ+x(?zkTBpH78xIMY{JF3Q6%&U+*YJhjeP8yUyY3w4=ehg(k->
zg55Zs8#0pu*>}pz;%;sjo(F`x&KCn?%Ue*Qt(`&!DG5v3Dn@-b7xRiDI$@?L<6FtP
z?XjE*H#hm1uU;jiU{WiYc{K?wv=pku-t0*utC!hP4+xULIgXT{eV=Wr*HOkbfuZ7D
z8Brzw#7IC{RL4Q)u7<S4xZZz<mjBSTfm>)^`y(-6+;gFB^ZN$4jgxTZ!eer9RWLW|
zmL|-N<f9f#<Qv*M860*vK_;oyK@0UkRU+_4h~*`z8*@&@Y&6@H;X|(j23>#dnFoVV
zXK*`_LDyQW^ld?3$n!6eV6i>4%~UTjVcJZVFh#sPz(#jzwZ_oo8>t)<oJz05^8tYV
zg7C{mH_`wgZB7+?GMh#pT$=1g5zd_BsZQk>`r<;9{h7-1#FlpaflO{&n?JosM|TCm
z{9aU>t{sCaL#nz9i9<C>Y6!ri$)aUaYgB>)z&zPHEU*(S9p2)6SnNVgS&1IZ$C1Ba
zHjKc;79;T^ImLPss8>HKyn@0UTOYkc+3Sfa&_c#cUCLAI_Fv!O8seL*z(L4xmdsyn
zO1<S(&;Ri6bYb7G=-I}OvQ`$96v$f~JFYM@7e<+dYThnM3sFEmb;Cu2ADVU(OB#|(
z{{cYqbGm9jQNbB_jB+loGA)WxHUMfUn&#a%4%DH=pF$VcI(BIz%^4J-Bv0>RXyM9y
zK*{M(1j7(KgE5<mvv=s5Uj#MFfYc7BD9l))xi5|Keg`)VFq=bcPB;>9%gM&6xE8})
zo*6)JBh{2B8rLf|limAx1rtMx_6R((m3+I5{2eGcZoghAef=xO{Rg|bq2V9i73qCG
zV3bn9#^J=-y7-%wF?TZw<M+ZO*;|Cfqj0HTBOAv!ObM~B?LqX*AdCLdrb8EpIUpHN
z%ZBko>t3to^#pO#m;DX8l_G5rJWqsq;Uo(`8x?Db{~)>|J7y)tnS&+uv9gXW`L=!t
zTR!$x(-&|FO)?YY0=T0PYlT?>hc+S^mr?iu-cpp35O>xjx(!1a<q#5)hleMNHbPrN
zzR>;oF*)D{ru^pzH{nqJ-l%6c`pEWtH)u&M<Emn{2SZ{vtXPXQw}!5Y#m(vA6}`-_
z*$3Dn0&ztxPFx8}lb#ihP<nlO?@ArTV4C!IrQ`F|ACBKrh(O^!f>Ql%3|k-UDSh|F
zXl5P|guV57&EVXDXsRT5SL~IZaY{>NK}G;30iq+(14FCSSqnnnM*!n8wvBXIdjLVN
zabuIi8~h&yd)e)uh$1~(xz3zh#eQ@t*!qVv8jv})N_q-B3r(}F_OoS!U7U9F{5Ve4
z__hA9<#Jm1mF50jGHf`tLJZp`P4@rN@#NLZbLG$*{AfsuoBbwY@|zz@dX8o=%zV0@
zT)=NS{naI@k6Pp%mxrs~of?}qdPoC^>6FHD%Tp14Q0F&(zYltxFg>Da&%`1M&PZ^3
z`~|T)O>z59otn5)dJtlF<+$k@fB%%=8{8&LLtLNW{v}>j{L=L0n@1f#6lV9W+{h(i
z2@f}sackg!>Wi!uHfneebGr8}DZ0RxG5U{!pT9ym$ky|x`X<S4aN%7GT|MQ_whQ_r
z9$SamdVE@jtuC{`C<1G5&y;d`;+J8g5rY0)JV5K{q_di`if<mjD6(T(gJNGllg|-?
zIy8+bx;D=`r4C&xXudD>&_Yt*xy_P_yU&#42Leo3qGrzd#v0jy<zxAaGN707Cx4O0
z34eJN3AV&#KjG{5PxVzPfL%!*3zt62`o$$AY2&zSKd$0sWJXRmX23_sICj(nY3!;1
zzfI5EzG5bSkFeztEtRg`r@iX}*&91``KB`wtuX4C@m|8mkToDR1W%MG#)wnN677SX
zX{&_%7aMf%338`jG+Xu6({<GF-=ZwGzKGa<a6<XoK~@^LLP#Ii^W&F8y-JJQ9yO<n
zTZ&E^*VxIITHZ0%&(5j2ZjMYxNmmYEd7aYHS)$15$~0n{S!s|+AMUygVVw%Y-*Ui!
zH{QCUWByAV?EXo~y_)Qm4)}@j5<UVCFGC5+FF@~s0ZpPu#UfFH+BAG2+Nx5yo{uVf
zmQ0VfkFw30f8!<~;Zw)IouJtxA>A!e)hHb9AE*cspAg=@eT(ussHnJD%d<r5!_1tO
zC@li`sR}Ss+upzFIk3#_*+hjME&V^q;Cqmhb$fJ?J!fhU7>tVm7m*Y7oM3pQB<Lcy
z!sF8n*)JW71_%blhtTirQol=$1;>AWO_fbjHiPdFzx)LVS!yV*^<_-rbpAe^zdCOp
zJG~>6khi@Ff#f!wCR%^bB#70hWS%Qs<AGznrahp#YA?!O5*nE#w}0MYmt>jk1iW@u
zu=L?i>{!E)cBD!OOvwh%-Dga1){@v7yE>RtX$e|4UCU78476pBJl`$cKh}<(qihU)
z_+)5`NUE+_i)|Osa!9GmBC@WCKWL0Q<YdpnY!E8g=bSeXrTg(<2$fd(+1sSBFf|MM
zk*Cu8A=ILvsI0Y4%NDB}+fG=q2=)w{T6K?Ufea*G=tozqTHu_Pi}kRjF~$#knG+HC
z9x{z*X2hlY!NKoN&4>Fgn>`yq-FYO#^PVBYErlwsS6-x{H9W7?B}NIi29<oc5*LCN
zTeJWA61DBQ-8tQECl4+ytb0#}iTsgjOqI!i+h(U`*0}~d&fBjEmS_$a7q&n4qqR0A
zAV)1tEB<eM!z&P}j^^yErc4h%O=Pj{AN?QXl>uW%V|sk;+ZT!g<pjOfIMZv99ho=)
z1-Xde;P||pq$jQ`zi?Nm*a6z+;XcwTu~wIki$i|{PtgXnbD#f-Hno#34>+&6+5Jn9
zB8#qxl-khd)vx*4WJ9v4I%<_W6lR!y$=fBnx>%=a*ADMJI8MlTfMtwY#0h^Pm1?VC
zfBEEqjuuE~c)=Ubej+0bos+%teWfXsxl#v1JH%+=dofp!h_~3zvj*-rwVtg6Fm_cf
z6Ly_2l3ICS+Wu1VDZIdPu)MR*Ab!T)EfD=gog_J-9;A?HeiLZ>+5p4%`)V_yMadB-
z=ZD`BZ{pA+v_5~5;UFT*+i}Fd<|dW4KbAmR*(gJ;&8ma1(hvN<1T}SMOVj^dde3Fx
z2T#y6x#;4QGz+A(s@xMec0^!KGtJ1#U*jC7>IZ5Ff(lDd&3hHFJ=e@}sUVTFAq>|i
z7C9`bsvh@}v$n_~%q6hf?K&mn;sIS8=rEzuaIq&V>KHMK=nbr;pxWGF$cxR;pY?s4
zzppYHo7Hk}p!GS)*B;p4#@+bs<KrB7U1@~)LgCO|c|~q2czx(&gtP9-)W9Efc?FXr
zckir$=}7m_pP*9{#&#}DNGO<Sdo{IIwlHL0z5xSdCO0jo?pgBLbu_%Ji?nouj%U0l
zzDx$l8}J-Fmc4_k(Nn)I>}7B73D@nXGxm@6t*J0F=*BT-${<YmsWsBm&(Sy$_B7C6
zbaCAG_2J%S;;_RGx0l+{@a=9G@jqn@z3N{|<Yefi)qm*9^a$y2od9}*Tz>Jvh!i*X
zE;%3s!~Nl58s7?!O{Ju99KcinzYgHTr8PckL3EM_((wsJ*re7~DODZ<rRcG5^<;=5
zvu)5f?~e_2)0H79K{yE%p3IJ(*7Si;i`V|jsF7lMbx^fwh9?PY6tR7bME2`6IM^mO
z7nD{=eP)79Ps}h(NE)A5dCPD(Gye*9LMTgs1+V$^w$vPJXxn3`guGu3USQ5=<Zj!_
zKn@K$XB@-FpfTO5YjWVG=mdgjsZSg-u^5!MHBPErLTH52H5Emy%CDnXv=10hlGU0E
zzLDsk-ZAK(+`KFw%P3TbE1Ph+O@8rs7vG6K%_<t!yCn=0c%#aE%$OifggaPw5;S1u
z#4m6j(8(or8-e&n2F?j5Dp@!AYS3gmSzb_BhVp~`Z{Rs>TFm^fGK3H2uWXL;xmpUF
zb#A|#%9ty@T756^uwO@&k%JU6zgWc8GP;O(*_wrfK=6v16VK3nBk^X)%W?hd&6!u4
zb}woIaf&Qy3(+p;dwLMWEiGG1`AhrFzBZfJpH`Rot(+aR)jiTV)o%FBq_P;hl2xUZ
zb>V3GgPZ5bFis2GXU_Q$pAS-G5a#?3n8b$=46@~Ig2KiTDj~PGO#{@KYf@3pLf%D~
z*Jy&RC6>GdePf|YxP2iUiLq?dT%K=lJ%TNF<AG8ZRl3NUQ}A)u1s`)9AO6sLU(RH_
z5DQFX&unT#`))22wF*FKpm8z%^{i+RXyL-e#XVJ{kFR*S<`WT1ihx~VT_yj(uqjtK
z=SfI$Vy(0t2W{1s={DQae?sp)(q(!14{gcA|7a5Cpx8(tF+S>(p00#uj=C11-8t9^
z1~#R7w$?C<#J?xHI?rMiY}xE?0(hi$$S?z;i-AA)8Q|m;;CG&c3{qKY2E$#C$S-b2
zta1^k37wcH9$`*+?WD0AxTf@D`kBb(JJ1#~s-uc)DtXS^x}6vLmZ-!CilKSwM>Sg|
zk{5<LGE*s}2z|}-nC8Q*8n&L7E@YwRPw!YF)?~~|WAA!t211!+vBy;#Zm2o=#wnE{
z?AZr}uF!@Jfd@p7Yk%~yJKLR0aP23>Ebp+Gvrt)90|_&TZ)39`!s(P);O=_EMv)z>
zz`J_05DVDw2UrUNoB^K0-tU+oG=Ir#`o4TKsFM%6(LwSqqB4`rNR^c<=l38<?$5T@
zHBbiK?3RHF?$8O1Nk!|;(m@&KxRCJV8+lUu(bar&cnA{z4MA<7h424DkR|*(0GCfa
z<jh7H*$*}mTt%Oisn>B&8`-<6N?xx|t;!63`}akxZ{Pr^oSF=6k@q@IOmW*IY&O*P
z>>H5I)>wX@VVctUanyzf6!VJ`$3V_)a2043!SF|@tA#>!f*u&ZkDZjZl7m9if~ZwK
zqAZ_lIMt;9lPb;EN*rv(x&p+}jagIS<VU@S@5A0d^4{guw2%#qe5QKtU87lXM~ew%
z<+tF-NZph1TIY_Fr|y4M9<<CC)l<ASAcb|ZN*FcW%f}O~fRe(Znv|OYK0+=j!-88{
zbwGK)r70cc77NgV<xDP!Ks~HI)v5NmPL<ooeFrzs0=H~c*~ERBGeYsBrbTbozU$Sw
zxOpg)>mYm;k%PCG{y%%34(iJ)aJ>1SV?~~u$2{+i^_aCd$}G4VS5F8@Xt?}u@cb$u
zDF4$C0G}`JYk36<adBi>a8gzY^%*@j_L3}7P{WW+V`btwu4^s59VS22wGP=AXc?vI
zWfU-s93>_>Y&?l~iqXuGGLREu;`oLq_E0?(qRO4Pqh*Dnq9Gn`q*Y3Zd3qGUex%Ma
zfMJmPfP@P9oMx|%E35BA(RjwhpAG{L{lq*YD1bxd<Etv0G6(2V;)sqV8L^G-%npd{
z^R_}f)rXGId-Bv{%Cngfn3{Wk@w$9Hfvb23L=}YcQ<$w+Lx<^%6+Z(FmCB7+NPkUr
zyYD>FxJI!h()-Qwca%`ck;<{=M0nn0_?-+BjY4vS9!!*#6#i;)vi!aJ>eTOF_5AN-
z1xttzFi;gU(u+XB<bwAbg(tPWop8H&BQMd&1|@^ug-%pa<|W5Sg1$9d`yS=kqfV^s
zRa53Th277!AK)xi>PqrQlW^m#F^M77BPuP@6|IoizT~rAKI)spPN|GvNsbh*QB3rd
zPtty<&(-$iVpeCHuzkE!IO#s27gI8hnPg@KVZ>{D1y{nK9>Fx^g$xkm-RtxvWZ0Oo
z1B_J4&JTC6=JXvZ97CA4F+xHcp!_9>--_QLq6JqLyQ{O``CxH};6r@u7#Km_=8CAa
z6L6F7ukhmKZ~*}1^5=Rkk98tyazJt3sg|O^t_mCU5ih8sNskpdohO>I`llks#&A4*
z*c)>Zb>a4$4Jq!kH@1JA!rpZ|-msI`A`R-_;PD(Nj_h-!V%tYc*mW{b4ElG|n-_<l
zx2xjpJWT)Xb&BJ7cp$a1(#2fYl3;C2=D!mKafW|l4)_JNO!PFRj;NR-n!o+FLoILx
zUbU;8(dgR8)^z{-ux~Ut*qn2cWrkXTqz-I+$dlqs8`<@*p;w<tvz7Xw+n*7}0K|Tv
z<=Y>`5DslZ1Guv8%8dR|(YeaSyaJN|SvJW6Yno;;RY!dF`A*Q~uO(~7y_`HjxEC2c
z9nPj9$+A!kwd<7vZTnN5qYE+}MSt(Ki@<y^ZGpb6+ua9KraSbpBgTWD?o`fIjJ!Hh
zmZi1Lew--bn9!`n?g6k|ro|hBpTZF#Tg-oaU5hSxQ?H)x@+@d>(+7Gc#oUQf%#|*N
zftDjZbR1Ru!MZz$pIM@-ZI2t*MM6NSz`Z{wkIxI<Q|q!Z%;TpoQzPy{0nMjD>de&x
zAJR1wS4Oi=vi7r9vlhrlV`y~-KXWdWgJjp<*E~}D{xE^N4lc?Ua9DEJq%BP9w)tW%
z*sQ|zq^eIy=%)kj$3Ban?tUlCOL%dBpz`AUR6Qd6%mEgDBL>?&dG>%Vuc+2)@rs!q
z*O8RwSJME9c6Hm$04f|v2V>EZe1wJ3*w_dk*H3V;<$PfC426F`iKC#rq^b-?>9HKE
zRra%9ft__P@d7lb91Q?jGg}wD+Zq5%x?h|;>dBcSi-&ZqHxGig_@Hx-l9tROXhd3p
zf&x7@zWOCf4=*Zqd|#K~P3o8x*Ru$Rt}V$JrjF-AT-&smC5bSOTP&M^#6#dcd;KEk
zeag~-4Y!UtGG%0@MGQ!Ap-`k`l)#rqr~ie=@%3}@by;VFC|25P?YN$-P1Qq^TC&I$
zXmrbx<H=cJ(!xzFaeQ&)=DR7IpP?GvTHQ!}SXphs<kDDF;^<r6p!*0sR(d=QL<EKg
zV!N`FTAAi7)Ti*OyWaes*}KPC^_E`VY1^s_R}t&u8IrE!>l=tG*$PRS`Ch9YdD|ZP
zs_Vkp*KD>x_b${8OOo+7OXK5DB;J26vKK+KGB%uiW<u#$^BXaAwj(RHid!FqAHUC-
zE$2tfF*5@_U;d&*3jU4_fSak{vb~CAl>EE4|Ne;+3G&sPI=#+#Me}$h=_M>o+m6dl
zF6j!@JtA?ybFJc9z;(Q%^6C=nzDvtFdy92JuZR-<)dZ9tx74VmubEZ;^?9p)jZJ-`
zu-+rT4d9}phYsmzld>aSgp5qVQK5O*QQfey+XPEw`#xM;r+H0Xw9D^L-jHC)GS;DP
zKwNLIhp_kW_K)9KXx8flw0>1RU4cq|w=%}{-X0QmQ@ba#VwL|`&X|_l%y8~|Qb=kM
z+Z?yKq<D_4WY<qk9DZ-7nx@D%|G8U(@3bQAm09^nT@=`>3D$h><?YkWXRCZcmG07j
zv%Md=&KYQHtJNLdZ&Pw`*?R&ywe0JLxT@XC8BCuPwYfrHc^B>y&WgE?S%LN3nok?`
zh}w?Si>5{Qef#xAFSwR;LH&Y^d<&i>wU1<2O9hK$exh1~JAXpLH%UCKWl&H8ge1jj
zp_v=`)BlDpe0e+2sN%Z)X#(VU(jD0E>9)(?%ddz*&F7GhyLcKJhjz`CJGkG!{cvuf
z3IBS&<oAMPM}>7vgXytj8rwWJT}_=VC$Mo}XwB5@dO1VPrSkm5*HxuPQz)HgU#T}Y
z;R9YvkRsEC+hbA16;FJ2m4?AydHv@T`eY?RMoV?-b=NGFFRI3--r3cu#e?E#%CM$q
zLtT1x4INAMvX(y%2=j1?Hb{S%+@C397?$B+(4a)!avyMhEwbwH&|ui2rT+NGXWFQh
z;Q@P2lRIS1XPm+ptx$gIBrtcofR<&3tk1|b-O7D&J057KC=6j`y7N_S@go_J5!70?
zrGSAfybrRgqp`b#xZEtaGRQ1^r~eFFm5ms1e>Jr#Wz-Y#K4K%ngGVJcf_u<+SxAe7
zqUS%K{w`mD>8EdQ)OzuQ^Q&)c-Ete&`lO|UVvWKLKNc(37iLBgUr8N#Wzau?;m}Jc
zCz`YrdH@MZk2^;#|Hr1c?aFt#uH2Ihbbbx9rbjm&Kgce6kDm^f<H(u>PweRXd^SGR
zl)n9Tb&_{8Ejz2H`gw_O`Ogi<IPe}d**ub!;bZ3$ojwz}H51Y-Cqh2{j7I&VA(LE6
z6EGq}5%dh>JqB4$k=-+|G%d-K2w|-CEI7;9I9+lL!~Ay8*Y(arRjl5hSmg{oUXLGn
z&wjvqE@z8_xi)-ugRyZSQG1p5j>LnZKkAu+#A$;zXL9rHm-}u^n$teFiR`d4knejf
zN*9K9BX|&oDKF)3)SSdXGBQc-mThkST$!>hoPEolOSingJUG0@qI)iD&sjPIt{hj7
zEsmZn8kHmtEG>`rnw7|EHnC=sajDWwl*^gQFCT@=5%Ugx(t+o#$8p6!dH?SQ8!!{x
zvF!7HllF_IT4r4%7KAMW!wjTz;P>vrjwdRbBRE0bq_nC}Z2wZOCJ_Fjm|{ELcy+oD
zEswKPWwKWJzQLc}KA{EFo@mhpwC|-?&Uy78<!7n3@bg=;Ww}G<Hz`>}n+46nSd;I~
z7xAwxtdndjoX<Z?pp=>;Emt@+I~S@8KOrYCJn`&C)+GP2tV}rYV(Lu_PV`RAjJ?lw
zU#lusqi8&g$m11p88r)C#t&)d9wql5KbL&u^*j<8w(;!vQbsbmoZ@Kd+mi2FB^+`e
zCQe1vI*~~`H5y|-#Jm~7#K=@8sAf&ZLt<+`EXm6$aKyIy!NwtXO|<bcG?RqiurA3p
zKwQ-8(Um0oXBDW*+O7JO%evG8+Iz0;6F+&kj_&C_Mebjm<upf_R9|D+?#&KbNVzKQ
z)8E6yXG01W=b+9ZQs<D@8)yEz#lqM18$Jy-9ZQm(oR5QAOD4!?#S1yi*2rW;-gnyp
z#ZcDB=WU95<C-*I2+=#ThJv)A3IJs}q<^{$HNZ7myy<P9ZPNbP(v*swvdh;cH<-fm
zkt3U)Tds$&dAFpRM#AXQlG@buv*%rZ%b(-ehMglF606dc6~K>MAf;}(hTy*LK3lX|
z+3GBhjaOr?L<h@GCdQb}GKt@X2(OF2*`b7j`*CIQrp|KOO{8MgPdymNDSDyp-Eu$g
z)#S77KG|AB^-3&q0{_eb67;Fi_g71Sis&4QJz%%xJ4AyDq2{_5U+Li7x^67}q-vJ<
zxMn(Rc5=~l#n`;;PbpaM3r2H#wk65WMl%r_b6XRuiPzOD^=(f%B301)69RhUq?1VM
zLs0C}pO%NVjFx*xcf9<kT%$gG=DCfZOmq>4>8z#j@gY*=>wxL@JI&_<RR6`(yV%>=
z(Te2A*P(T{Iq;_I?9!4o4-e1m@^WbebP;b;Z;j`ig5+YHSMO<i`&`I%PP}|F3a&bk
zJiJ|6UOvWBe+jaWj)Z2}c{@3QrDbHwnwu9HR}M@>LZkc>R%gD#p`SCn`=7w}tgwZN
zj-PdI+&X%$`D}L(zwp9p(eI83#jPWY2Y<>sH-S`?_r=A<If$G}1x$EY2vbV0F|e@0
z94UOoT{^4NaK7(d?U15u_AmW8LQc1`Exczxf$<5;ER%)Y$5ipc43|%zfNQP1hGMW+
zXXVjmwmswi2eW;p3QbizCBWrg^BA^d{!rN%Dk6%_*}G(rzl8;T)Z@f+NV&l5-39*m
z<G7{}x_;1v!*WmU?`rtQb>u*ZkEK;!-PzYK9TjpkbfClRfBZw|9oFLII?u4dY5j6Y
z9`Ef!3CMqPMazVFW|~M>b2-Yo)74J2IPX641^4l&>t?798ljF~Yfl>ZxW3^qhwR8>
z8q?jc`(QYI8Ot%cJ$T7nZA#6}?8di*(bmbRQ22%u#O|>;hDllz%i3-zQ{HO7`&xPa
z3aa070EA=`3GWz~nl8&Y9cq@NW7PC;c=N5j<v?QszA%`agcUvjn-{fVdaUl8OibVJ
zeR%pF2C@YV)Mu8v@`qiNjR=xa0r*V+$s=);WfBC8?<GTz&R4dXyvK>#nYM3uxq0pM
zM&I!ACe`E-vMwoPXH~1El+PQq`%b5=Bs7+-652t9(cni&DLE2Ex4tjpn;!tRMuiN0
zR%GsrVfGDzyScBb(7RP@V=bWrT4=a^`@5gq?piiFnUtcNtc>;3DGO$FDSWrkj}l+|
zJ`T|PUD2qhc<&M`$rUW$gjDXoOeZF;PfO-4ksk$EZTh)OK|{8^l(n9QUZs;0otqdd
zks4I(Z}<)CwV9-j9cwI3>;NG%LL0ifrh}Qo2NmcBtA@1ED{jl}<@61G=gHz2g}N!T
z$vlnt4ym^Gi-gRfFm4eGta_i7*M$%H&1_zCyP$HYlyE#njqzOUy!qT}!yC|<p3GH2
zrHa1Y2W#_t<wo=zE)6yPQv;jE5_AKUSgA{^;e(*`NVd~Y-tcw6LqwpC07?vbNyGE%
zpAE_y@8waZ730uRv9Hb%bR|6~>D!Q)1V#GKYM7E<^~sarJr)IN4O4b@9b)EaePPMW
zwXIEEWOaz#ZyvM|I~|l#bR_ne9{RGWNBrlf`lv?-olM_7;Ns&QI9%OhNt8?2^f{eQ
zfG@t`WY}2a(9+-2v+rqi@TK>dp2kDXvFmk9x^>wCs+nk#l0bZ@w^Lw+sU^rPt0gDZ
zFrr|cMj(@)0(U<a8vsO^aA;-S9sa}80F_`m-m8rAmy26~{n%zDYly(|H%+8??mB<p
ztq*Nj{LE{uCS!0Z1$`O;r=QtAtbB{kuv#(NuV+!h(;OiVOa8F;UEqrsOP3l33`0v;
zB+=b^LvC2H1<SetPa4^6)&}hf*ts4s+s#{NJ5(0zee|$CxZcn>{iuW0qJRcFHYN-e
zJFln=h3}bM6v`45g)7ZBEcg3^&ohLrLVM`z$JbJ)^{apv_L3_E2J}^ZS4SyV!RK9p
z9?s3eMihfb9;IdQgTeZ30GrPJVypj3-QQ#4-}_Ar4$5+@vMyENjjl-O-2s}ngLRni
zMF-{~IcXIaVa2>qA?srD^@pYTFBGznCIQ!x+`o@1c@Z!m*~`-4Qd!)UHl!ACl<ANR
zlhLs{wl&x~nOSud5=(aW-%?9<R@hYb`hVQLcUY6lw>Aujf`araU8G4Bl-{I>NC)X1
z1VkY88mfr&A_!P0Dgq+CCJ+d{caYwD4~7y-Ao(8lZ@c$<-gCb5{r~;pb&-JcJTtRq
z&3)f%%`6ocXJH3d@5Jf#>9}g~;aUC6nml2yxQ2|KV8n71B^zP~+Hy%JH*Vo#d7^wc
zJx5ycn#^dFu<sFFl#JS$nszWgm%kny$HLAyHFXc%;W5X>2R>l>+`Zv!KT9i(cJ8Wh
zNDz0FX1btC7p*e2Z)H|{<OB6C-*=UI!GV}S^=da=1o<m~3-NKImgwxwNoLgt4Zh!>
zGw~}NOBK68OO+AvTy_@e<t8^Q<<VUdcjj6((>S~7e)lZSoW(Ppqt;V&)qCA*q1@`L
znc@5*(dO7x$GJ;Q{@NG2S=R@)6=^>c7H8<>I{sSpa`+EzOhSamC~xBa$J~u32$c>X
z1$jO2!yy3%pTcE1mh38`i5t5S?D@0Heko{9AEyE<3vmY<XbJgn>&>w0SR5~cHwY46
z4)Ru6%SDibVuWc;{4~djMxf2h5!s#WDol5MCgZ@gl#DI>n_+>=p%>}dH$NsLYVbP9
zl6YUySIzyat8fOkJf8z2VM$intorggTiH1I?_9=KJnyu@^BnQo9VQ#qx<1`K(^kRC
z;hR<``qC>K4tbnKRVDrW@r`9$<+#15EO$?I(b@pWBiS!Jce*CvBFV1K2h3hn@mynt
z@l3r?XQ9?)r>8h@cv*$cX(50s`mDXI9AsLi^p+7pU%Pp)oU)yLZk(YeefPYL`g2!2
zEEfsA9e*@cj(L1y9yne13N<w$hDm^ZYa)H6%KC+;u=?ldHt(I+YB5_M9SfhKB_$jo
z+J;wnMuVL-*-s-@OALTJe<7SNr({tyQP52Bvf5To&Pr7C6bO8B>Mu1F)E|6)<$;qc
zT4%(Jj7{3Kkz-^sND~ECU7aCawo?+9z!XzLY#8iYm()!k@0Oq>G@g$`#?j^CH1zV!
z82f#G<?Y2OKi69|N(`s{?1qv<2hs1qQfPZQ%%xg25sm2hBu{mid=nG9Gq5*cVHgt8
zWTM3C6ZO>w+)(nvJ$5-?;WGbiI*Z?cN4nP3Dwp8os*0R%%jxaj*K{zpKX(C;8c0b<
zznaQQ5%phH_EjwJ?Lo=eu0>`+ywE->VdL)z-!px?wM?m61q&d9PL<H{ixuu@`{i;J
zSY4mpBpTZT$u81#fZP%I`%0j``JLb~O%zMD2Sf?M(zq?alTb^$%Es_%yXHjTQWW~(
z%WjWX^+e=WS?Kgi=7M`j7dU)yWe!2=Z`rFDi$_ko1UqA<?f;f?wPgtbuG)~!&0O<e
zdVUALrG9LqXlAy(&6j1?F}yVgwY3F87y8OUZr^@{8mcLAV<Ug877lqvj@KLAbo<;9
z6e)<i-D6LBXYSSqWdsQ{dpYtm@9x(4GxV?G2sw|PWj#1_E)`kCKr>jE%i|4s2+eO6
zbN9LL$|6;3wtrTr%YpK8s1`gwT8qtLm@pe4(3?`Q;vkE9QEplIoiTQBN_+Wj=Et8V
zzC1eCTO~mNKRE$VVveYY1W07mzt{Y<g|oELW^^SdZGXSIFYlV>9oO404&x}Jw$l3H
z``^E`+)=hN=#6OfyhZvAI&1kIsB3G`*pHfgyWy<XDuBJkYim12&J|NS)3uspen--Y
z>s+q7ej>dHttdMe(ns62Q|a|;`rwR0O3H6G@1P{MG{`!?G-T<aM?orVa7P1?hnG%8
z*2-5lVKlr8YE_ae9*+4wBXAf0*R$BClL62F?1DQt!^F8t3V)Vu%!(lkvYb!{1)!b7
z>wB_OwasrkIE%l{M@qiau+Sncbs)!64s9yBJ-ZvOfH;`h0`X+cXxnbg#+<qi5>GYC
z$-KOr$S)qDZi!1_UA-yzHiJ*Vx5KY3s2sjO-f2XcxSpptFX^j~`%YalE+L%5qw68K
zSVF)KB@bBdC*>yIYOJ7YE`KEu(5hjqqCb(5I@?kc-9zC2IM74b-vy(t^;$}8yg?F(
zzWY>l(26aGeVbf%HRg1-AJj{m3J`*R<yM8UyzsSkV}JAZ+qlQI#77Xyy#NQ-`r^7?
zlR_z1>Fe-BcT;!o-3mbEQ09utcfKpNem*k0k9IKl_{vAvzbnBU&H5{rGKgg=MEtT5
zn#Ba+uO^)m6UA~TwTgfe;}Tc<kEMzm0>WXmKQBDkq$gT=xQc5ve^>90Mc+}LdtZ&b
zt@Bcau!#H0eyKp_>i^pBGyD%v7j<n^z?FM5llJlP82<oS*ZdNa$-?aHa@SqoMt|>$
z*Cx;U^wY?Uc<|SAvTbG!ETM?bnOA#1P06!c*4_x3h>7mCwJ>&*jmAqo2z2!8c{`Vl
zd;qzRfsHDno;#$b^six}kK&fFex>L~Bz;QD&GxD>N^g9C(N(l6dEmC-dHdV<pR&+2
zD{Cpsf<9f1&wQ0DI*_}Fnq4G>AB?f{eT<Art+QOA;6mhS2Ccq9idrrrzNGG-)#aLG
zN*fq)5eBBd)#y-K=<H8*L9OQPPga>yXbrCJxowQXhvukvyc;`cgN9+v-Llx^oIU^=
zLwp5o^__ikzjw|{V-<{cNqQjg`tF~?j}Sk<b)ae(D~dH>ivFn|@9+GWS``qIR1Au3
zdUDB>SWOMM+ch#W)p`%3ooD}n2moqpq5v2r#oEXBd)~>XCn!*jm|X7^2Uj$9K`e2y
zW4%tEV$kHry?i;fK=%89?+Bw-WTk+9e$}%puNMJOI!LT0#m1b8_#TKOgEy=C+2I@N
zV6*iS?k98KpuYE<_ATyI4+gr!B2DjS-pi^9hs)1HM4y{Fcz4{48(F+YAG>yc0oVt2
zh{C4Q^h{;~SIVDdKGgJehHQl~tDzNq3iQCvb^FO{ktI_{n@Oh3mX#wF^=sfp7ZLW$
zFm268RRky0h|-p4_vccTTN>KqUsqRZl6|P=e9N8iwZYzYvO#j(cCK~9#qZUS>T+Br
zi?m(lBSco4E@H*+7j38Kj+Z63`?Tt^?Sx!;SoDslV~~&EZ~qw?zb<c=`JW=yaQQ7!
zOGej}>gT?v3Vs^RbJs-&pshc8o)gIRAg8Bq0V47RVbnc~;5hH=e-^)j)kkuxZ5XU@
zEZEJjG;^yKlpW|kjtO|tf;lY@LY)d^SM>#%!22Lymm>h#6c>NF_p2k8v2H4edf%gP
zS??Mp{OMd3Eb(_`37H3m;n=bvdtnh@NH#Vx-p-}%k}gD2+|HrX<L$<HqxZ;ZqujhJ
z_IQ0-UVJ5axf^vKJR369X3_SIZNB$gw3jYn(Jg!%mtzx+c2te7uEpN!Z<^1JQ;Xv*
zq^9jFauo%(u2ZX#jb+_AAv?0b6cK{T%?5d}Ops(lj1~YmzzCRMwuV+b0WFQ46f?4-
zzIt(*=f?Ec7D;(4g9I^&JhulTd9O;GNoiX60#(c<hfqIc8ZWc)PsoGdzvp&ngZBhC
zo?NV%k6SdJ62U&nSXUz`Fb9*yJB@zr-7Ai2>F;Z+-8(oB*~d+)o3o}bVB@Q?+iP<@
zOu_-4a|2d(aoMYa`_`xkY<g#<P%p6+({nMImY?!~7W$Jc9Hj7%D}Zw02YO5!SlW`J
zZM<h@81~{TW$ZB$dxEmkApYCcsL2uy1LJiJ6*Yh{jKl~R4NtW_YcF+52JC0O+hS$d
zMa4f=zT$d2lPL}=c{=4ASYFpTo$=ed<eJm66XMhIwG*9-cd#tzwgC6rS%~{QZ6i9@
zl#K-m<q_P-nSTIYINUu^J}A4Nb>In`<G7B#rC_zkz8KHu0Zpn!RMIuJubaQ<p)KH@
zIeBl*Z-#0*MC6}Ft(9bXla&2}(DM5t%=b-u`Fzi+T7_0RvyD-G@5(04>zvYaKRFbu
zPslzAczq8~jJ(X#n?SCGPo4H!TBFeoN`Q$eW?Da%GJC%JDsYIlnSt1#IiCPtCW7hp
zo8MV!@VPiw5tV#oKcPZ!A*0yyN?Ndl|IU4rqTHV{NyE26)@FJ-``^97$7*+OB`^fC
zNnaUo8Z+*@HnqfpXH<W42v&Rp#;_@4HB-fSCXa8YPfxseVB@Y>Ob(@JMz3i)`u_ab
z7zJ_W2TI<nfC`E{^mOk>&!m`G-s?3X7qn|h+)S&tUClz!ZP()NNnf$?>1!HmV#fF(
zUM?-cL5^($wdm*+MLkqBEE~F+@DQAF@2y|(;WqSA4gotofs9XK-U>6gR|3@u^`|JA
zK;B!l?Jab@FYrG1{K{~OnfgJNJ$bwHoE_gl4zH4?qu^Y0#js{#q6FsFRFOaLc|wtz
zwj<+|qIqvHj@Sq>LJKO9+cW5NHR_(hR_0$O7F{guo1S4D0B9UB#ySV38=u;`afj2O
zV>{3=gc`ad#aFiDZS0DS*tVIR+l^%j2z8bnJE;xwICk;9{@juF#-QKsd%>8E;I$xJ
z7(Cj-l6znGsc*ny6b%1P#qb4(Q^Bm=%r;AvfUidRS06PaLRZ^4l$CeJeGS+=s{LsL
zJonj1NzSOn_^yKA*X@4u^qs3wbaMg%DGPVlbN}!-U=Aek+!4n5X*CWgm&)FtR#ao-
zi0f1s+Z8BIFt2-MuHkK<pYW)B^RvEy=3EvTlpX(-NG?j_g!dwpvK6Z#y1%MefUe-X
zE&KNKdQnJ9aaQ~G^nE>1#H#Cf@tepD*5F$3FIlf-XwM<s*Sk-)R@z?B@=i@+X?}R=
ziXr%k3%Ebj#e-;#zuK;*+uR5`>|Q1iTvI4{Dl1U$D97)jM;Mb}_yBMIS@P}n{fBeq
zt-7AyU8m-G3dJvidb2P?v=H!co-8)CUtRr!{$BZRdkW|s)<G26Tw3fr!**hRk(4Ux
zQuf?7J=I_WT-*J6OxVDk1KMi}>mEPlwYxV6`ndp#Pwj6WIbBL{2mAEy-=L*d)Vqd4
z<)#<8UOfA)7HC&BBS6dqSz1yP6<-%T&eJj;98#A06g+VZF4q5EIQtViYy#|}s86?>
z`ISw*4UGs(hl`U|TEN|(PEr~4-T=JU@-g663|V!qe*T+48<2N>*F`n0lSqxuIE0)v
z(~gUY+g!7y^yx`F0lli+bI}kR)SuW6--ZL8oRCnd?xwIfMN7m`+rzfXK^vb_9?iF$
zzB=WDw9SP_o{12HNmInDWf5P+2b%&s&obR)chD?SI%eDB-J}!gGilpiMy#dfeZ>nM
zl{F0|(tMu`_Z-=Z&&JLq0FLKF{-Hcsy*3r9?@nBhCjb!!A$^9dwgwsiSMpth)bjAr
z?m=^l-@!^_^~G9B+F|>?Zc-bZ&LYn<KlS-ot?SAit_)Km!WE;6n)a|JbvK>i_rMsm
z(iXG#L7x<>8_qPX9$S&m$_4kA#GBW^%UPy#-&MjFR&H#GAShn;1OztM!@DgOSO7J`
z$0X8}7GmIS3_iYrbs?S^uZ{T4`a^B5g2|><QcsUjXon{PDC@wQe9GLUXYlW~=*<?o
z_O#lRXn)taCQ__s1`IfnJp`wwr0VRPoU^GZ!=;}4RBDkx!4~LE(;PdQsmQ7;p}PYD
z|MQ2phwgHmL`CH)pwiw+POeZ1Y!&(ehD&ODFM^02<+$*jl9mG%V@lJwDR4h;F7PzS
zR|^@2-QKu`9`#gA^MKGUcs90!=f>IvuzNoQD`kRb4Yso7xQe*dE?$cjZ7=uVL&Sog
z1KP*6Fr&vCCcU$H09)>1IZsGsIj@0biZ2n(UW%SR95^|tBZ}D(mGNlKOVB)LSBFu%
z=cIH?%^4zZsJYJW$Ii<*<R%Sh-j8fY_zk&z^eY}iuGYn_DOec{i04}gJ}>wYXRd{K
z72Fg=r$xXNEoe&vVb7=!{x!en&jBQNcg0VgHK!mZPNU43<d$StD#vBK<^^tNq7Gk9
zI)45Dw;?cv+a`kiM9Bs|>SE7Z=k%O?Xz6ZK%aV9a&{R?<#=@RxZoZ6q*%M{TNc=AA
zVWn?rU5q-_xFCR?CrX`<U;IIRF(hGAOYrLx6moukkodT`smOeRsfA##S(K0H)I<=j
z)YWD%&VnbFw<qR96Vk!Zz3%f{d6(txEFm>Q?RbXa)$SKlDu;{NN+x|&HmJ0cD90E^
z7c2qWj9tt;4mvTkPK8^|qk{wMLRw5_f7bTX_B*-ntj2@N1Iuzpg1GYMsw0dQ{R>>&
zgzpf&0L)vI?1R(2@?rV3RD(CBTCTHB9Pmk|?9D!P4XEpK{#;_YpuO+*-0$AoW|dnH
zAWi!cwo`|eMyOo}O`833uL;dwX9==ErqbKQUg>JlO&VTKMTWs)4}*&~Zo)p18Wjtg
z5a@h9RF00Ed(^JvGh32qUe0c~aGPi`wN7q1EZWJ(fA!lj%tAI9J4D;dfRxTfD9SR?
zG_}eod)mSFUe50b2%5|l`-t*YME2gInOiwkTF`-*AgY^@vI`dO=`_bRg=@GoQ_zL`
zA{G<WZ<-`k0AC_WTgI&QH$;(tz(%%l2M7kB;xA|RHfx#D{m8@dkb`6<010*Edl;l?
zUMG6@eeLN3>+cR%K;0exo3$y75_Uldo=ZfEiGDbiBo7=Zjv6F!*sH=05Nl2G$jOSO
zRnl8_6}oy%3uvyoKnLlq7ZkFBeAQfxp1O_%vHI42z7=?P-|d8oU-O<}z5{K8+Sx6?
zN4qeJ*Z}9Ru(*vCpRZmqw0OO-O+`|-_#$k(oP(Q$XGo@>+kQ?p7&9$F6MgOunCa3q
z8ko~o2X4m)>DSNjzYAH!#HnNo`6SoYk5mqtc&5FVy17w;TQy{^R5b~yBwAhy@pEcL
zl!m^`?lxALd$L0>v7zKvo6^zX<9O=qrV<8@aax&U)0*d>XoO<EHV%4<aTlnfJ36ql
zzvDA9vu=Gyj-Q*?<XWd6OLbp#L|D$$HdB7>Te;Tgoq72s$aXZbjLS!D<64?(s*Y)+
zhhPlAAFczqWk)$VfaD){!^(=&oZ^1hPt7!ZZ*KC{9{=s}omf3{7J3Mv&=tK>EHo`F
zJ2>XE8d&1~D_;S`T9)*T72aPQjufkJEN|h=ILiE#MM5;m)F5ju2NPe08#_3Ugs1@W
z>}4=^b)J9PqF(wH3;LTMpO@iI3GZ*yjKd1%V_|r8`S_g92ehET@#QDuZ>JrZf!+=%
z%FU_MH!CrvoX_LPjC}CdU3m)54S3})WO%`g#=XZ`<pu1G)$}LqL_E@G!)0q|&6!m$
z06_yBatz+u!{TS}<1V%Tz858Joy+&0R?1#-8``)#m_t+~i%*kps|S*)FI}^qSu%j<
zf*ufWeLk*xTNtAkWH||z5hO4qH==6{Kngl@?}J`nFtzDGWM${D#%?aSxaMm#Eo)oP
zAi4u}sRv)sl3Bzwz5QE?q7o9e`(_u#jZkjnN$^Td<8c{`^`}XY_ErMG7uf*CE;{u2
zgFnvXP1CkKtEOo=ojo~F%DJpRSR%FB(~w|yY;eHH(<Rqibi6p>^O*S+K+Gd^3tzCh
z+_}+gzh*ff07EmE_=-`EYQB>2b(Ya2vGgrmLA)ypTE$0FL+)#W*O}!I4U!;#EiVtN
zo&c_kof}-uKQqJ;$I|AYTH@|meLeeP&8Hg;^|v5GpsY&C60e4i7O)+L(ig>nnKo4>
zJk7t%eWYOze?o_eRO`vq_B@EUtaHi+l4w9@^LmKjWszQU=~p7Q*RtRbj7T?1PK@kF
zgVi2Ynf&yQh2{Jx+Zx90JvsTHkzgGBLg-XP^HB}@tY1?=tmqrTMDZ*sKC9mu_1m{G
z_JxH%d_OPfGJL#K(eDj&xi3afxH@_*8#szvH8IAUBXbq^4WWPFxK?myq7>eA*LzZR
zqYB3Kspo5N=`<3q6&O|@UkT#MxR-TY$f%MLVK`AvW(2!pmavM^OrpQ_W-`23)~2B#
zY#s?ZQxUc+bE0<PfAR>u71_DlwC>|nTv~mTE5ThtXC0q7tzAgq4nh#`hbACayIl*b
zB_+2{yu^W!Yt=0*)0N$M+m`t|bHR+!M{QZP@Ze$Taon_)M0c`=<`LY@E)e9%S=s2J
zw%Q~FzF=`FsaBaye~{KwtSP_mOG^!7;4K!G+q+j0!oQTo$C@*2T+(3gJ2`NDt0L-6
z%?SZ+X~r)tuBo0Hrd#+zCptA~cgQ_NO?0AVS#lhDOBM@ajp>(L>eTf-=n8Rr?Uy4M
za}reOchQ-Ka7)L@mvs}PF1_(h+;_<q@)QoTBM5m(oroFYPi#c2^_{E0<pv81OGxnR
zEBrrPN`X~Uw_ZsNoo||5#4#ZPN4zUS+Ly*V_I(>c4g`r3JZ6sB7XF=24myj!y(lbP
zjZ0tZ@fIkHvM5L-72&WGeK_Sh@uU<we@x2^FgB(uC7OxIFp=|*5<N-&vZS~|#vJr+
zl~>oCg|XZgk$zfgft{2U_Z}9oWT{F!zXNt2q>-w(4cAXc-y6G@LQKwwd+U-MaNxN3
zpb>IU0zNldMYG_7+2Y9Tt)g;**=nWfLAg;2J8V1Rt<}xI@k@H_N^bcgd(fm|HMsfa
zYBD*NZ=rj2LNI>vrX{{0^oN@vmC=2%^!#G}ObCBLef6nYN#53j9k1RMjYp1!>eqjY
zTUeN~xn-08t|9xZ*xeudFwaEPxLvW)_TygU98<e-Z<b%@LAuuD(U5nqR^9$GoUKyJ
zqUPe57YHDN&YWnS>#)fhFb-tj4@hE0qqGDjOD;Qo2W~Gi!(1^ky^g-9ue-QZwyLRU
zzfX&3Cv{UHS2Uw4mDab8oMwTz#DiPTTA8$FJU@rLEUgt>rUaA}WQJ*x*2Zg~lw3J?
zp0F=zcDd)Z&hSSb+<M{dIN_KgIefVDqn-V!Bc*>_NGMrZ$EW)<Q`1)amYdb(?;fDh
zq*{{^vkxr8ehzL+ecqGXVL?Vb)%AI4ny(MFOQEUK%e@+99<nF{7e4LI#IlB9lpPiN
zQqSM1Sio~3T|{&_cK(t7CuU0=!Id_T6Qgl~THcuVl)W3Xx7&B-Y(bK{oNcKbsPOTs
z>Ns_yvtwM~4{c!$ef@~6Z&P!6R>gh5t&)AgwWb`rgkky-p(!A;_KTjH)4RU?nIMh8
zKK=+nQ`9UM;Iupz=KUeen0SrEz$L`}n%b>E;Lu!qA`F+CM{VXvzEmSKVDK4l;cTul
z?CG*T$KqIk$h)!3^7ELy-?6@RwbroP>Zn@q7ZK4k@8rp#JNcPb9l7|yi)RCI<!m7C
zKnKy!&z;_A&3L~B5}CX?wPh0iAt+?zADEgA&)*#UPKfszFHRW%uGuUocc0lc@EwgG
z6P1w#$zc~`fAj24uD+Kk_bq&9@%RdlxRnyl#wfn*`o0S&9g-JxFa{fNuwu0y1xGU}
zvUiRhg&Mo*YpY|kZ~3{*Pyot%t1Eho0_@-9OOQX?;?lD{n~tpN9276VATS?8JvG&5
z&D`l#b4i5#nA9;vyg(Z6-=mmB(l>sxL8)6y+R#2@=p8X2oTb6D*zcdyc~QgcA=gHV
zueMZ>Qwk-D(Fzw_o>hiSOFvK{&Tp{flqr>;w7;-Zlie@j4Vb-r1G#;j%}ove+j@-Y
zt5H5&_0(5CoPoHU4@^3cjjYv(Ea!72Jjz_vae%f6{Yj=`$<fm9SEdUvXWnt4_K$ar
zpaBp6V1o8|9LgRF>_Z{fhHI_kV$$p1dx{c=9JA>b9Y8&DQv)RNlLQXHf_`fN_S(n;
zgwJ(8(9zKmV5EF3c#k`wvOm3(#oj)#JQa8w^SpTPr=YLeqAvKSOAmYllVDs_(#aoZ
zxkFC^;<lgtxd(-Pe|l!)*J?4YH79)bCZ*HgA!BD&xjk(<&ZUVd!j#w5iJLSy#h5U0
zXK@2c9N`!1wnGKsmd}r9QXuRzev$TG|1DKPj|uM#`g^XF?+psSp9j>vmNHBh>vfLE
zT{Q~b064{owX}$=eJxQow7R_Ukq(gU7A9{Njb})O{=`z@4!JvUju*>S%5vO}coOtr
z<c8C4WjcoYpZBKv8yzfn0>){(KXXLe&cmQZ6@ZP$1NNoQ&pem$k9`4#qW;2D6VG=h
zI@Ykbw>VPI6E0Ow#&dib<JBWT8gHV7O$zDXqttnAv~0|Hbd_mn_n1``{tcuMB^6vz
zdEb^v^S6SM^sKJ+S+RH6J-GNoYYh>Mgx7uBt)F+$JD!TD#{n&uYVW6wxgrJ4=vyZz
zM=T6zB0Hczehf@DP8v95Y7#rh^rPx3%E;!|rz_+cRkA)g`9ElGzYa-0tkT2e&>fK9
z&oFum<;(;E%aZu^JBB|CMs+pJ!w9qJ5s-ou*D3WAdagHfTF6<v%I0LcoinrXyvV^R
zbsvu{kRk^)2cBcdQq5OTq2LQM#2D{BO`E@z$mu&5m&q;UjEn7@DA>8xlTAYh?|Y=c
zeL$F@O@$tp{c&3{q+xL>O*5tpdnxOZ*yl4YQFC{B&Y3zs`Av5xQl^(oBh?INx5dQ>
z$SB9}#p?w^x1z5kUwVAd%TEka!!JEVzx}#d4kfcF46(yzln(3b=!5$Ck5R<~uOPv_
z1X@(C#|cxWhMmRJs<V`UOs1I_@>Xu`Uil8xGK1-sY>fZy@m+Z0&fExee$Jc`R9tnf
zKXvJF`<6p6r0y7Lz?E2gFbr2kpPoa_nFgn(n!A4^cAc2UP(`rn$#qAnH%%jKLWXDI
z-bg-cGhKZa!j;*z$}mEKf*%LH{*so@ojIit!BGrB!*z1MA2O-=GTbltLH_dR%W5vM
zpiUn#nN6a}coVz4>HDMl)-y&^y1ynjmtqM3B;L;MBvbIW6@}eZwDK7-M!<<7)nYT_
zc^0r=V40*AM=q7$k7<8cCF|=O1?lI)az1?iK|`+_U<NE!12H^gwSF{jN&Ff@u2R&+
z`w{)jawDCnggb1`{P}aqDR98c5m7@JM@2r1r~T>ol#ZMa_~6s7Af`kuD0N<E<C1J#
zwo5igC^DpeW=@yU&9Z|p>ts1s2YfgU%{**B(nP_k^U{ywmz>LlF!SpsJ8r$JM=sE!
zsFVC+GN=r`J$h;6oThg-u<rn*lhLa&b@T@P_L!EHBh}krIndp{H{1ZZxo=VzG_yxt
z_*`L;hOkV?Tuoo)bnb3}CQ+Do?3JhHHIe!7&lsp!CG7Jbs;+gc2RN0Mman9jGSocf
zfjs$yJTxNN=oLmq64Xq368ISDpJjMwbS>X4l@17GE2|^>py#mEZZKXu-!0LSo^Fo+
zeB7QZZYC3Ihy6HkAKjhscG35ATWJ6@&mUcyfOhzmg<8mDsTuCBH};RFY%)d{9xA3C
zpS~LW;NIA&sCjXqp`2rxLo7y#X$)`Q4@5VoA{TpJ?_k~3GF^OnZ2=~JMA&EavwXCN
z<syx;)$#N1Pg4G?f`N}=E{ICMY*SKSlc}uyqKhyGJjeQ@3B&02I2@wscA-MB1GYol
zC88<d3BY^<(n_*4{xDy1cCyH$F={(hAEr3XmgDH6D#&j=IUYy|rSMg3e#ok4VDEDK
z(fGX44t{r0PX7l;)Y51U0C~%vk%vOs^Uve3-*y;5)P?ik?OZQsr37cy-b1xk-tnpV
zd<rVAojsq8P@2BE#E#HiZiV0EJ*hX8M*J`(F_cU(TORMC)FjsOmp&I-GxhzoVtKAL
zQ~Qnw-Nhf9jp&<MXGjo|eh0V>VSIb=lCH1ByQ$+3rX*;h#D>8D4#7$w*)1I^hj@PY
zguG4dE#%g-yI+*Il3%`ToCJbsX3i87hd}&?^$IL<3*-M*t<TAsqP?dorL#M(su_H-
zY*tz=!DhCdU3$=eyw*&Py*=~YlqTI_B<v}<j@b)p<wPI_m<}&C=r<011~K$q)ROgy
zVqEY_D&0M#Yn@8b$nnzD63>peFmz!~Z86AGm~8k#x~q&{EoEm)Expv1qslDpRWgkQ
ze*GZmrLPUN-#Mgc%z}LEv7q4YeRIGSe^Zvf=RO=`K`QVE&_c;Jz0{UiLV_A$sgw5D
zx!*rB8%1Bp1)co3Y=>pf5UFSy7n?HfFARZ5L0i9-e?7X!Uo!nQpBm4J6xU3HPl-w}
zuUR)*Wo~V~qo4XX%(E99CO2i_Am=?n6%y<-c|)ZVF-YgMW~`YYJRH9Qa=$Qzh%;x9
zsb+-g!g^mfnQ4$v2bG&N@X;E6y>g*p-+-)k_u*(W(m&~~U&P6u!g9^PiY}*NP0i6f
z49wY8kiip^!FFC$&#*{ML4oWkPw-3AbW`TRx}2e^D)F7zEEB>aU;Hv4ev(d^sc)%y
zQ|!6JZe2>F;MuZI4x*HfR>l!~{<_MaE3RBt0AP*?G_+;qDiHJ^nK$e>yeXai_3@#4
z0Kjbj9w~XkzF7HFBkDsbQX>*MxI@b2>U1#rBW2eHkQdGpjLD1Fuq*Bv+(S6uR6^EY
z=h3|~_OcH0D8VNCN8jX#rI?LVc&abG>7^uqgl%|}xtq%_aumbh_U%;OHsX>JxVJ<#
zb{x3#>B|f)-hXxzHxWRjbL~)6`LnqID$*0yq`T4kmA(?>7b;qeRaKpreIXly=GB(<
zC$*-18Z#jWyVg?mL5fCYjtNr6on4#5SH@_7|Jq`8X~PEv#V*TDuM2RSAuo?wqB0pW
zs(x0ycPSF6%v{Swff=0kNNXficMUqPvYY<WK;AT+Uy0!7?{c%0{{9B2D|ii`HJG<o
z*yp8_!)cu428~CE*vINvAThEr*uQVP@IEmuHCnXB_<HQrb)pwWR2~Cwlkt}rSE>LR
z3&=as#~%XSUgH7R=kx>yN%DF#o%Cku&MYH1m|y-Z11Jo*CP#9&bj;yb(7!bI@QR8B
zn^FCnty$!We|L`PriULmT?6_#T1?ZtirMlPsM3@IyF<HB$s3-75^Ti2VVay}?n*X(
z3YwfN_Iz{X2fP3k1D*~n^$gED5u$&GXy(!oeTRRqGZhg|$I?-4cc5(Me5^3|_k-HQ
z0LQ(YRGIbHeEww&9|*$asbCR8O2}q@CX^ujIO-Be;B7#)8#C03T47JORGmr+st}hm
z&WfH58up%|;*ucS6uog1OIy>KJH<KWpsZwSjw`bQ`1}`!!a1=Aaw4^<MzG{x|L}Tf
z&{f1o*5Db>Kjv4Yi0?)p#&vU6?P8RR)Yy*GHvh(xS(}ny9dDoPg<OoypfW|~YVs?`
zN~9iNAkKPy4thc_e}}oCI<=Uq_F3j_<2COce)OqoF^v@3dUs_N3i#{eXBj~U64$w8
z4Bt>cPW*e#DPQ&Z8(AguzkN0$#@&ckTuj+^AO%6xCGD`N2;W`9?Ci=KvjI(udK<&@
z$Z!ti8_IU3v!bBD?bpb$YP~+xku2mP2pN%O^ElRAedDk7<%Ex0Q1$38_gvne#l~?J
zyQK*Iardv^U)f#QaTreQ=%eTQ(}$5hQ=uu%l(qFt-n`3U@7x&}v%Mfx_5~xlyan74
zHaYBgbgY4n1+$r!m*@n?1x+cb^byrRw)^*jrXs*I@%|#dT9p593=?!MY%|~+UuuP%
z-}0Bsbl_~pa@CZ&fRm%I+)`dknr|b8{{<cRQ$;ep)PmTHpjO*vyLJ~d1=W9E68Dd1
zC?o;kO`+z!I<`OGC@jM70`c@wgu=JGDK(i){574lMZBI))<scl?^ZS@9DP;a`KqlL
z3LcqgEqu|?T1hqfi-i5_YOY)d>MAb-^&(G-2JcUY(#UaVDG%A-ONs>gDHcBZrEe;`
z|H~bhTzbWQT+SwkG9}E2Gx3Lww)UTJ)t?rv_^%W?epR)T`~TV#8D8Z>cRS+_QS@uC
zH8@jd&-DZ7FOBH@{Ct-{n;s8D_9>6$Cdk3?bNMC{8$}<lS595r-;?%F=M@&S$cI|I
zPl&(X`uCaR40yx2N_rZpGPU4Jb0)f)CFITCGaGMlj*=4YN=M6j5Ll)1vMq>~Wxo6Y
z-%H56+tA^EoXsB(jLW9Y2uNK5BoaX2=+Bp7F!?V9H9c8!RlKKM1B34;vBwAp`&viv
zx8kXqy3%DXAD0T2V3%y~Gx*ivkw1g>pBb|%z6*>%@iWa6{(nb+5Kn)N9{ghCNg=n|
zj2=wv&GqeRhMl6Xb;3!lnHt{B?Qa6fOQXcS$p4wyzrA7_E->f4I6q_lHK=h?yrjl{
zkj_OP21we0yDT-Y&yq?>>|)n5$a-l32U`1oIMBb|4sb(2s<g&(fW<$}FD8&ht-3~6
zHgEa4sc>+Y|MzZqvuoGYxoY`x{nLy8d*uF}^WNxCzUXwqxsM->wcZ%fw+F?n{|{F7
z$3Xt-SD6WLAhKR5Ir@d0Y&L0|n`1#-RXU*wHT(betR~^BfxX$(zvdw-DfucqJX};r
z$cn5DxW3&0C^|MaHkPJIw9XM~to;A-qW_tvGGfB0hI$q4%BiAb6l!{>v=QXmc<I9$
z3z*|I)eE4C*>p~#?5oVo%)2rB<PLU!_Q?Ozfj=Lt{K=BE-hkVvdzX9{f+l3oR#W83
zT<7Y>L|x|@Q41m1An<;}iSvsW_slr93Qw5@3wQskwfx!q{xLm{$MR`yCxk0&z3F?o
z=@u0+F}J{&vyHvljVzH1ibm8lkkHpFI0M|r`zn%z=~i0%uq#r=LU-yP<HcqB>*csT
z@E=0B4{m+w{L_K5Ho~stQvuxe`+goC!q87pkF{rRJjfwMQe!o>SZ^<{$)(oFR!p_i
z#O_G0T62X_TAT09nhO4y(Cx8rzl(NKx-1SXC+>~|xx}V-S()6_qQ+hDj&XMksvwtE
zudtBYsT8-uyu(AMFYCzH%w?ihLk!D!MwzZ+u_R5;INSGyN;uEY&z)br>H%(obso*r
z5KCT+gf=wDkclUCU0z;_4e%e67~ogjGkW#hFvMR6!T0{Dc4YavUCnb}I=ey9o{)kb
z0|_Sr+!v*iWj?FbzkKhX2|oJflwUtd&<1>iF!QaWB7BNb3tOJ%XYa`_RzR|`p3!Fa
ztx$H#TDr*H)n%ONLbla3QfTo51EKT82sm`JL||>EuWz@uwkFnPa_50N^lQ`dhXs%8
zJTYquKHljJQnzaG$HK?>OLO5;tIQ#4<~2R041`KdUuqgfuU>(kAhw*;X!}5aep{J!
z3dMmP<IP{ItK<&p4z4A$m|J^>DKwSs_4hqOcgbPW4o&WZkJ*wKPgJp`vS)k~Ozr*_
zvjP*|$!k4a?iBG-lacq{p0>w`r*s<`8&4TNt)tWW<Sfd-CzGxV<t8YRdid}Ka7#Dg
zL}ZzP(E?!`$?NOnXYJ`!zq(KJ9D~@kXSGydDg%MtWXHGao*W2f1(16;O->pOVQb9<
zob?G}a!8bzgv7<^I@r20(|;w0AiJ`w1(#`G?dIzi2+?qp;K!Ws3}04-#63@vn?WLx
zI8hzgokoi`xSRy0w4{W@h2^re3{D;u6yk9~N-EFtr3^zZkBK`OzC1eX!;MZsSYj&@
z>sS!vwWUhHiRX0gQTkDBoxUxvb6$LR#;*1o4UD%kcE%?r2<+Uqe-#KlUah;;9*%Qh
zU-m;ggOD}Ef`W%i5bsym@UV_8xqig5BF-5pDJktj_)fHIoD>@|6(D;2K$luHm;{oR
za*^z1!!1|c+zoETV`KFY(vK>*77w0(^&?xf!@0o*xP>sV8G?%zcn`u+`SSVj9}&Ze
zuI`&f5}h<Qbay54V7+SmAL3(Pv#i$C)VO6{r`&F<Qwj~B+4*!MdPld7NS4Zj>nVmv
z;W-u8_iHf<eTTB&y_)LFs5D+Uqosu|8#{26+0TD}Q9bKCQ*mbl2A^TAw8k>ySpGmz
zv-a?p4r;gXGF-v^I$zgWz?X^&k0}<jdq{Hyb@uiJAtin#Apwq;MQxq(jB+D=8wq#w
zU^D#Gxxk(I7l<0-HA=ky#ZP>JUTuZGJR!4Bo0coZnO^W`gE{5U&2@BQI7w~pxG-4#
zFDAR#@q6x4mg}pvtC->unyg0s`4<5r1L?tV=nHu6wB@EGQTxJx_dbWK_1Syx(zX8d
z5ID5OX<-Ygn@-;wJJW(T=9c{^kQY63HbC7m2bz8Xk3gl^ah%XT3xOehb;pZGI0v~-
zRvP+fX$Pr6M58p!DY6~yF2W^c^{ei}LBbf&2~feK{eW|j<D^zAfoLW9<f<+~#;n$Q
zZRTafL5E+ByPWZSpnLZrq_UC9Zg#*MB-XDmc;~Pa-JoChA^58cpTpNfNKCe1h_%@g
zGSDuW6SFR5NoQ!ZuFx3)oKKqFLI$q!Q>DjgAv`sJ2O!ohlGpB?*cx{`-8)%1YuVfT
z&eJEdfGqCek+$@cw)|MgBQWo}Bsy;!m)HrJo_9PqO{E=NaH(B|rPm|RA(ag&PSo>y
z2jYlMmxJlHe%fsH%J=AqiTl#<Ij1=_IIJ7Y<^NR5^89R>CSYDl6{bxOp==!TzO_P>
z=$gOVKGJ76Z{vQL8M`LvBao*GQnmb${~IcFsnF@0ESRPPd=SsGg-zDJsFP9!7Yc7&
z^~KN3PcWj>_Y+(QYtz|ljIx=?+@DoAsn8DOTQS&B^(}me44mz#aCLwgWz9%Hj6R(q
zGLIlVo>C_b+MkSkW(D4t2w^lwxeilKEDpGOO%Orv+I*vh?mduw{OR-OaAoA#;l>_N
zK3MF6DqGrrqz(oPFN{t|AaQ#2s;-xJ&ba1fHzVY5O*2akv2fpI>CALZBadq@aBCx0
zZQb<eWkgA(_QjqV&^Aq)mhp+neBjweEN?w3lUdOFV|hK4zdk!+Ic3Y{6Et(*%zAb&
zPh;KmrJS*WN66PB2tx>$-Q0bbgFp|t`QAWxq}fu9kjv78EnBl$&XrreYRp`tTr2xN
zSc@K0KGy>?k8JcRR7k)d8?lkx*?svUYi7!l+cnOC;Us0PpEg}OL<+5@)3Il^;WNs2
zRP-REe!(<1c8hkp!-GaLr113YfVP90dC-v4aoH7q7~vjaC*Wm9XK6H$34A%P;NE?@
zDmwu@00Ba97;AdSrKQ$C@sP_BoSoPF)FOSzwD2>d<uIc2Ftzs6^717OXho*u)Gx4b
zFEg)E-yeA~m!<{>cQcfRNX<yq8Z60hB(4O{a+Ye$1|qv3s?}Qh6}PO+G>kW_!ampg
zCP!8s=4K0mzHT(6R1u}ROCgEO^M&BQPknkU`1%2(r4d`GHNx0z*nC<|JBskXl}I!y
z=oQFyW<!7V!B(;+Hd8GRmQn?|@A+3>IwMYW{Q~p1hz<pP>ND&Fedf*v_`L*)+B=0o
z-dSFdXOx4TE_`U8n%K44OwZWdkNfkgA%)Tq&jq5~XuHlmg{@mF`wxSJ<^1<KLMn>Z
z=F?%(V0pTbw!OW*8vjFk7*LS90gFL*+y{z|_@Vb8t*><%#6VRgB_#~Ji3_c3@Ady7
z<^MP0{STyD1z<E><!Lzu2I1T2<XVq>+i<r28FjXi9eI7nO{UyokQsb|>?|%Xe_&=;
zTrUAtdHNnuivETx|3jN$kKO?65KLuYZl1{`>BUXf`cb{(1_42M={uL1nkn`~X&V9(
zMx%Gsg!{+`{~t}=RsPbJ$%TbrcCjhg3QR8*56Q{VBv7@sxxKBe?M-}qys_D@lKT2t
zH`V6y|BmVZ3re$kbeC0anIq}eJvU=x<5O$kE*|{<PS*Yp_ie;`6--x9t<^_q<aQGv
zHQYA;ON0OShcNvppyM1=F;AB`@b#4cocQ`5h6o^UK+$PqL`+jr?Ef;7S7U6zb#;az
z-^|PK|9G?ip~*1nD;4JdhYf~tC|lXv+pG5KSvyhUj)hnAhymvnpWglAlcA)DRsht$
zBxY{S+MR+}O5Ey`<@e~zfLHI@PKeGp>Po0OC~#{NVstW%R9ehhRCsuJj9W&Y|1wd+
znfnq@7Qo@lRfpCb>EMEYmVQuL1Ee%%_N;@Zk(m~@{@F&kT;x!_saeN>5^pj8WI*m*
zQ(OeudBOq~LA{o6E`x60*rvIz1JJ?j-X+h%0h=3aui-bzJ*<M#I0E_CFG95g_FBG6
z4cb?V3Jco+tKjF)pDn9c5Ovg$nGE63hqJXq|Ib-jn4b95v@{dR%&hd?kDoqO007Pn
z4%oDA!LRx)xbBa;2nM{aPd>3l?^w`Pj;qp^tU&_lL>`<j-rn9%8G4PmNspuJ9!nl*
zi%}Vn;&l<6vC~fbe!VDQ>0&zLxaJ+ovUOH&NoO<vgTW?5=YwV^Zz9gYYNYe#D6p4+
z3LphsN0-#p)Juj&hU?&4@wDrTYnV<p@HE$fQbJY#+4KX)A@Xu~n^fW+OGCM~4C~<P
z>UUt_MI6vG^yPEee4H*}#Ova$>942|E-Wg_FvK7eY|O2}QgyEbzbm738u=au$4w0R
ztdYrM0NnmqHm>)_wTQhB58Y*(f`x|?9MQ4y8(mV;(u_UvE6UZ_dod>=*`m+TFJdn?
zK3`)6pJRrHhre)bVsFNFCrj%zwjuGhXnQ@e!`yJGFY$M|R+UYkV0508@9Bvpv-P+?
z2-5VA;~#zi{GmsRonr{_Sk5kr+6qg$BspPzVx6>KlpSt|$J7!2;!iM}w?__5i%Pls
zuwyW8^{*@X5jd%@UcT(o%n-K*3g!?o$>F(zKsDwtpQ(;`23N9<!tD-k5lB2vN^Mpa
zvlLKB#~dDb#>s)F`W#@gq|(3TlO9ptqLTGqK1HthEVW!`pra#n2L_9+AGJ3V9~3bb
zjdNg&=L=xyp%R8WcbrcUbK~RVG*kigPLkBy*MaJ1?XlKhp3b;BI+im@`OtaTTfHM*
ztpylgm*QL$Wdr~-fqM3)L-byvw@zro;BZ+fpIxJ*o%R0D;e79ODnuH+wvvN>Hxq=Z
z$AnAYxV<|uF%em#+3=XF&F{vIxw*N=>Ds<@d_qrOy1J59Y?wq)j-X?ekY<@R(X)=d
zRs9$YM(E`W*2KWgUNPrMvZq$sU-!8*inx&19|XLHHx?H1evkJKmo~F?a}zqcy)l^G
z_`pKmVRyDx#7t3;SpL=8wQHA!hNU;=)ERO~6J2U6D@R3Lrm41ZQ?8!}bp!%shHma<
zuh6~RsRB4F=}eXk*v4zJ!%5o#dV^9q>UBawg0{mChY_sU;~E=+&E@&|d4?6~D3%u*
zSgo0b3OhBr2|cdm)g)1M8F|+)q;y1}xw=P3w5w_;+SSL{98)?53z*N|4OR82IC?tT
z0Wo^>2V^lv3SDo@>4GFzB#v-af~W1BoSa^wt3p=Qpuv}QOfmrvyD~-9F?2r&HZi3k
zmpftjG04r}?O$7?`K^=5!J&0ZGS)>;nZ5)bW68_Wuw0EsGy?Xu|6BUW-VAMrch?<y
zJp%aYa_pDRkAgx8u>lz__u^Lc+K>tvv`;P-E@M`%p9e>bh2aD&rfA9D^vK;4Ny~SA
z5;+>;$xMHDg6`!?-x)J_w_GSY7Ws?*Joub;o7nV-$n#pq`>yN<tlm$p?a1Xt-5$oF
z2PHcd<;WDBce=7sq@|I8(GC|+76zpgP+DMz-9+XMu?2CG+EGlm+T2&ZX}Lq$b?mQ5
z)9dfrAPO&2GxHT57@dxl2HUX&9qIhwei+PmD+`Q}03UR7wJLp0;xn;J{5tcI0GA3k
zT%42i;jW>Df4eN^bVVpCF+5~-5GS#j=~<R$)=l=5&PFV{k@T7ZV6XU;I3vOP;Dt&R
zpw+yaZPMw6zizRUN#Rq;9t2+=Py8i>gcFdy^|_5y;bPvoUJ(MQD!ct+3sosxT5liY
zFkKJ7a1B2E{8d0+Kxix0|AY1yE(`Ep^-!~0@zYx}$TmvrY!cOTn}~@0blXr`f&-NV
z#_|OW3i7ofWJ7A<<~ie8r;nE8^l3KsESq2?5tSH6Pk7gr^I|iYF#JU)X~ENmZ}Ukk
zmkOCS@<?#w3D{b<TV9E>JvCh}APasGFE(FBDt95&Md8n`cf&m?_^RnvS>Mj4WYspo
zU}UV2<Ci_X8-kQCu~iP+kCTtW{L~X@e=uy~$I}{E%tsi0cYz-cNTJ3}T_d6yD^$3K
zXg;zkoJ*s3E5m+$O~f9JYPCWWgF|Jrynz2tR2SMTcNWF2O|v?R-fwi3!=4RZV^hww
zu8_YxABVv066G*{tlw?2TEM@M2W(Ak@imDTY$5Dy@-wqAU)LlVmpei6^=vmSg3s*0
z$adOr=XdnTxV;}-q%ucCw{@dEf6@0SW3lHGjU;uiC7+<>yf%|$HV&_Q5uaQBWkhjH
zNpg}nc<B%5R(v=yq_U@9WUv>9H6d8cP}axYoD;SS`qp+-Pg;GI-RdAwhd3(7HT3xx
zxHbWI_Rcr4tblDE@cCALtC5I=g^@9p*CR4{iz?f7oRCAY5K2@ds=D-gLmyodPFNpZ
zm?X|tV&4yfxRWjP7H`e@q@YAX>`H_s<{<qqU@0B3a@~Te^MO4y2~#AF*Oe{HbS<gz
zqPLOwQv96Jze6@mmT@l88s{=-7tN0BWh5C9ym21v)iLAR$h1u?NXQc_*-A$q^q6U7
zExDzKooq%#IN~T?lI~KSLHR@^YbAm?;Pd%orqijxU>ejrcJI)1)y<%Fk9wnox@>;O
z#YD^!3x;izw1*=Lv(^-Ljg8cM$>8xlWHFhE-3I;9<+@no&G6{`5G)$i#h!@2b2o}L
z>c)MNTj2v71|RfMgmsywtnys);cp4Q9jbIZbiP56q|8nA9&B!IE^c4ejq^GoRF%b*
zT1PbLniqw-0KNKeN_sz{--eqHT~bK0AoX2QVliGc_?!_DVUo?CJ6}5fjtn`C{92iR
zXhk6(%=wx4;+;sCWN7X!psZ>K%f%wW(rw|1h`4n|f7Vpi+f)W5xT~aLk@NO$QGBeo
z>AI*%rftn1a|!XR<_?MsN_*ORgbg@&5E_4|A`T<AQfR(MwY-##Jq%$!zp+gpL^ytP
zldj9|2K%<4fhNW*`tb#zN#1#pIN#xc<1fFSL;Dg^rB?K2=w{ae1alYHAB)+?2D4Id
zhljB`4(}aZcBd;rL@XBXtfpQVYGRPNqzB&{M)S(?IGJq-&T@AAyVYjy4PhKN$RgDV
zqf}UuBKHikpI5|(Mc=hmAiQfqmm>nbVOc~r7^`@MXB)j58}Y$%W=#=it`8cgdiRu_
z;e|#>!mdOo5!=&{bI&f^xEo1K_=4xJ>*Qxt1ch$MYbohQOF1NW5!rQwbusDUD17js
z7fFtE&waYQmU5`Tp}4C+#x4iHwc7b6Tae%#?VgB9%IFjNUL6M^)-Rg!tV3Kw9gf&4
z*Ab3uf>E0rXUTEyY@Rnqgy+9levuuv6v|FQXx)WWpu3V#3DPgIUF-#&wG2-!20Rg5
za%ZZ3{-MO(opf1#+eF@Xdnn8wV-<|$&W96U&wmNl+4ynIy}s$ggLUI6E<r@0a$inX
zM^boQX#Fzjn<z!>Xa`&3%51i0l|u*V5z`wZ&T~9^k+)y4p}b~~%0>R%1u(t6a_yWZ
z_!m(JX$EhR(^u9@V^RDh@;XNPVf!WD%~3}fGD5E6$w2)t71YsGb`Z*#F8{%aO4_C`
z^xD8<lrZxbtV-4|o^!Hbv&dSx%Nx=--mm=*lCu2SJ!2wXKV6PUGLArU<9FfTAU7fv
zs@>qnqkjEZ*7fU$(?jE1_}^Nll|nUf73f+*!{j_PNiZo|*Oxl2LLo!n9mu+^lA2g?
z4n9aK-jTe%Oofoc^P=h^X(5^Vy0}G^B;``8?KqmpmiTm#!Itkat1sPi;osrTs|3ST
zsy34NUAA2+N4TqaY1fi&*K3DLe-Hk>MQ+!Q+i|JlaJhi%!YE<I)M1sK@JW1Cmm6zj
zxVg*ru3T6FD@el~+s$_1AQWadEe1!%%M)r_4&D4EwM{I^PN5T<THvV`F8`h@?R!#v
zmBzG)hgHiHbRNj+(VL7iNvokKYWiz|oEP8oi&bc^A6+6vj!tvsJ?e2DQ*{!(X9E7I
zWajK^1Ibk{KN}r>8+FX-T9<%qzZe?8VY!UYQd!7>4Nn~r9MP)Z`Jk<BIGHV|B$JS_
zbuug%m?@vRRH+oj=GAS9J+>rx{Z8@?Mh9ppi8MutGh~-t%}eASn@d^^oh9Q4ip^t6
zxZL*QEkY%&%CjRPgI&h^dPQiBMrhQFlBNqB3Q0Jz(s&#L>koe<ahQ7J-3qI<)kO6q
z+!fh4$sydN`pxS{*H&dELu*u}k6%kFqLop<QX>@Jv)5gxcqiR=^VFTB;jwv`*B9*9
zq7M#Vg{d0@35SB&K>qHEa#}FWJGWSU&+#m7SU-xp*y4S;vq^d$d?dXR<aNE`1#|Oc
zGA6S|D=VUd=<wZ0?@85t2>_$!@GFpsXga_XF<Jvyn~*T(#a_~m1G1Rd>*q8bCsq5C
zCn6<_Ds!i>Ml?)2pE>x{+Fdyow^n^42{(Y*pFO;5s?S&A{N|DPir4zq5q8t-1>=U_
z=8c|j3EIA!mYe7;#YJkH25aJOC{7kxCWWOqpFuWFUg8GKw0%wt|A)30CpX27Q+38o
zZf#bt`(8L+C}QCc>Lb=aRvKNG>+*?2SYN!3bf&Mb<RH_MSrn&NQNdXv1Je2xo2El0
z6@sk4by<az9lpJGSu04$dTkY7A`%aqB6miKMka<Z-XQGarGKhMfNQP9B~K7mNRCIT
z!0F%h=`kA<L0C;9T%J}tva1y*S)S`P=1cgZG$r}#Bjr$QWeh9$_Y((2GOM*-{7}DX
z|BCnut&IWG^`|%<DG&HfN7^i<J8^L5LUZZDW1r%S@GOcL{6Flyby$>9w>M08E1|>?
zGlHam(%l0nrGzw$0#YK4bV|3N(x8BJN)AX3NJ|gWNY@ZDzyROPIqx~I&vTylobUVh
zyWT%%U;Ey(_u6Z(_^q|qzE`w??-twfgFR3xk@0GY^%9LC_15Nmr)XBI2gCh9R23h`
zIWliI+{+kz$B5mUAh{M0B5K24LFY=cR0z`EY!uFU;CHY$gV@*03QcA?r{nGoC$kYj
zs0Asu8j}F=2x%|*9MCSJ$y+2^u#$d+N!rckTx4nrCdTu_Dxh)?C1#&e+3U^j<8sG4
z)1$ntPk_Cu42qYkB(we*(UM5MO64d{Bic)Shg}2tXtPoxR)ENMY@8kkhI^hRXDV-_
z9l#YYg;E~T|E7?4z5cu)H#>*rekmDFZ%QCb;lAp%aJk~uF?Ir46KO5Y#&^-1UH|wZ
z-Z7i+4Bg!>bDq&8*Zid-&`@C>)4)&XFiveo^Pv7|gDg>?^!vb=&IIvYnrhA&7HB7B
zWB#{0AXe)wVnob#`hGrQ#V}3~*SknyfRq$LIsjVs3MvB>eIQxlokN?99#S0SJ%OtY
zkkzM`{a)CBSGoY&XYn2@-xMgiwL#nSet?pA;H-h*lGHs^{KYE1)g2_iEKaXb9QK_f
zHfJ}f-7G#K8x2<GQ2rw?q@*7n_MJS$DB(Eh*l$3QS*}nU#Bia^q3A~D9(aatE!#r|
zHN8c`kLJ)=#*x$CW=kb{F(em6($yX>Z~hegG{g2;d%HGyK%M&G<f*cvs(<g@-|aH1
zRH$CDBqA>QWi`ZVVjR{_tZq3A_V1wyK8g|Y%({lmL~>ZUs~;8xxnOT6%Vh3!Aw)7;
z^aw6`6GetCaAs~z3oR<{wXjBoC=Ka2kKm6pALHYa;Y=;2zu`)g8t2%9TE3vdvWGzl
z<H$A}HpkbKrCn;BCH!FsMk}P);TqGMP~JedcWhhuuzv4jl@x&x@?)G6oVi>$dtSYe
zF)YHVC-0UhZtpz`Oam?q!Aj#78<#W3&gs7z3*WFd&1KOcaLfdqgu1%4$a#mYgr!FW
zv2PY}q97eVa<p3va+v`m+rBp`$bbBzm%dSzJyPT@F$cj>Z}cC^M#Z~BY{mqaDcyoW
z5^|<;ZMW!$b?AZ3z;_Q6QY)<b{$oP*K($;GT}cp%RyNZ_o}rYn4q3B6*gq+yV}B(;
z+~0}B@fXfjD^G3^EpH0gPOS!Uv1*lCZ`?Y@Kb33dWIj;<7B5F}+~@mpKxUU}MsPG@
zx)X<L<^g{U-PJfD><0t3DD4K$7PSxF<##l;_^k+D>j3$SFaEEkhp4$2&xH3_nOBIm
zRHfR4xHh<11Mwd?ffIDx?gYkhDtRkOKQXn8Lrk+3BSwkGDSra|g6(*>k!Ayw;QgjW
zj^*c3zS;d!0P(<{VdsHkE!oTT;MBfAK9Z395!Gx3@*Wel&{5BnpFiFnCp`BD#9nCc
zt;W3BVxEE}rWYg5UGQv~2>;*u;H4jIdQ1iiS-k>7t%<S%uM)`}nM?;Xm{(O;`6RHV
zhg)L*JZ6>l$&d+dqQ3AS>aJoxB0Q{wXzy=0HxLxOsosx25dv#ssG%8H){pkt<x&Wv
z!U#Y->Mb^*@d|P-Bj{p75&$oQF>`twCMxBnd)>y-XX}-P>wJ0gnnIb1Gg3;NBqEOR
zg+hcpXKtkg)w|u)NUUm(k(Vp}OQ!7BTX-R@uvyjmF1ELS?yzc8NCfjCGFIsO*N}p7
z5(;;JXuUV~@?#d@!>MxoDPwJ@X2T&08;<uQh%^ioe30{45q!`{Ll;TL%ZhEq@&k6r
zu#zA>1;8}(F4{lD!&2q3cI+-NM8LNcqo)bjy|LIVw=lM-Ag25{PD-KZ-4F7djvuhu
z*QX1Ia!45%Zxd``{Z4esZ8At#MV!WA9p=p)SqsU%tA^za7X~IM_h!~VmbQ4Hbr&|^
zy+v%7z?V!|8unVcCp7V}829+hp;(}5sH?fKV(}b6FYaZHd3Xb%P?1X!Y@?s>GfXx;
z)(*#1nG-5n#)dtfmw1ExSQL9khtsyRH%Ua(sB3gD-;9&;Hv|_k&a*{$I5qtsa_Df6
zL-yVlhN#xgO{N-g%Da2FHQq^11#dO9rI>LXpBFz-aFt!Zqanx2jH*u#_9MP2e9z_+
z**Nj?{Sb-#%4#B3Ei;mw{<EhU0>pOv34y(Ie#|FgyXp0<2`s8>eIA;|aVFSJ*hZYV
zzmquQ=*LevM~$xh4hjbadlc967mTcNTCptO@g}p?`}JTIs5%|sj1#)y?L}=|c<U(1
zW%XwJ*1BwA1#QzbQ22!TEBFNj!n&_VR7O{NiL2=hbeYEV1^;}11m=Hd)fShf;#503
zoyH-%g=LpcnG`ODQ@ze0?ke*E_+vG|Kc{tK5&y+qH?#mK=BHKidWj^Gez&n`gS>u1
zQ469vb4Ouz8*c2qiK5DySav&Hw+Iq>bwf*0!eKb9(uaj8)ferLwdvnQyGN9D0HJn|
z<)b;v9dt5Dwp-PlYNMV_kt7pB$_>nfIJ9QjBDiq7x5{CvDZC)f<>U=8rKjLdzKlhG
zI~6Hx6|t^h$g*Uf1SJd^1YSV+9kpi>NZqe0&?Q0bj%x?G{++m=net=tI*i_oNT|D-
z=qII6Q2l^__)`2KEPBUkVR%vCN9rXI$^@;-b7~9Z4XI^KUHxFAnw2%^dNESre^PSr
zo06Yvxr_1+TL6q$uy(Lb3P2|AW}XOW`(JLG6Mk?7l+t10W4%AVhw&1DM=6h`*}(e{
zrH$cgcC7hc;{MlkRZ3~XaGRgQX#}-;_mT>7TMv22YAp{(L=)lwby}Vged#M?o)Vym
z@Z&0#!l~6$1Fc>en`=g0WzgeN$r=*USQ)GQX_?M9w^&k8<LG_y4sz~~l$HpQGhL*g
z_21#?fL`C)ra1|7BLT|wj#u<jcpr6SS24Y@{?!wWv&uZn;q&3ouwXTB3I_u4ag?Q>
z0FTb{chM?kQXQ2JjBRsMV;=*LWR|vie^>m}b51YL@vR`kF29RSc#Eiqb!X*kF#I~L
z4f8@x>%zvL;rDP|UdD?1%ui13G%Jbvo1&S!w2eQng|hQ6YlhL3aS`3&#kdW53NquQ
zZXUT(iI6r0=^??XcbBr4(m_Iz`Ml+-O-1%}3X3HiabddLS8xt0T7;FtZxc<=1!qIi
z*9Jrf;zZ7g2U^{qIBpZUkl}4U_1f-YR8AqyE*{xf*E=4^_va#-0IK<SN4<PrYU;|-
z``}0IL64Q$PbDKDhJ6NuGo)#zNmX0|0NZXFF^53(2(Dqa0*#<0tg_D{kk-CR;XC35
zI5OWPKZD-qV-d)z)rc!|IgJv#GJ<sxpEY_=j;v;pOo{qj`o~K)qn;pGiubSit+@O9
z9%J)gc{AI96w)iIN1A9`gy!vysj7RCjvwlW(gV{73_ofM6mi55+qTJG%nS!B-wjn<
z(#SpA(iD1f*yh^E_l%;l(9il&+zu-dTUdI#C3EOAHbem%`1kvk2*Y@;c&ZobnB6t#
z`@+jq`M`Qo%T9XS7KR-2h=!HuU^RxZA-nxjBW&VO3RdY`zQ?!%QLKzrn&7Ns=-Kco
zxavvQxsdtYZax6*r#BszqOjVZUAU@ubmy^Jy%V{pMpX4VPRX0kLse(ZMFSaj*o}rE
zyMIhJewN4j^`Ub`mx$*LkyX!5%zmOQV67_>u)oD|%u-g}1fhM>1tJ#lM{r{<uTh|D
z!4_Vt0Xb>*YpdOlZx`ubv>75ld%sFeQo=f8RqQ$Kl^R-4z+J(L!3I1c%Ga`q3~`Pk
z?^9EZQ-1rdlN@zFbVz;yUP-=Sk4&~LUH0Rqd(XiYcQ${eLtXS*lP)=%p>$dGXBjOk
z6(jGYoEu4R3aA=DKn@9YLIW&)rynH1w5b<J*slwoVYvr2DKxrqr{q_PQ0L_5m<oF<
z_2{4w9-tL9ML*UY9<eVJT}NHX5!PFz7lw=p{FAajxqy1BwimwsQK0)61{&M`Dy^JM
zVR_i=phq~^M(hS#IB&kpv)V7`o8?e+30Y+le>kz}20{gRZW3_fD%PAi1){^xL=vDR
zqBE*tnOnFDDV(#g1uZ}Mp<26R6(Ox&v9vU)6lH0)%#KU>z&}K6$4A-MQkqP5+gh@h
zZnoRK8FJT;ne2#bjbQ_;G-vRWNn=YXtSX{hCBH}s=1b5~*uYhU^`Rg(gxNhDc-y)^
z9t(Yh>x=~5@-6MNjpx+Ls+GMQlO;b7{1ZRF4#8d@SrJs4lV_?fAlIW~i=%H)0W1LT
z`_WP^F>-#oH-0B$8&?1<1|9)c;cUD7GyBIT;E#>`e9LXX8GcYbLCkunV}l-j$rdWe
zV2R>E%3Kn4ah!xnXiuLaIAd1Y#8lp)ko*ETy-cSxAi$k_EgWe6hVFen^Rf(?cXyNg
z1=w$V7$xQ%k-?cICCKa^;`bvXo`+Ry=ay9#>;uwV2JiKKs@RqUT>D6e6OTce$=?oV
zqcVxqy9~_jd6T{Af#qweZS7v!^!*NY*9pB<`<#3yk%viaTUUl!1sBO1yw@@fM?zE_
zZCrY8-YK|r%j48*uE)DovDMiroZiKp7`2dJ_df;h6<*S>Et$kbpMckve)$5Joo`WT
zhZr{%NyrmswtR=AAd*fSjj9f9=<P`soZiImIN%4FSnsiWv%FwGauSF+e&878n-tx0
zV2j-}w8|0AS+UfZV~Yh86V?mnfL^KM7M+dW4{;&#mQoQ8-olS(ITP-Ah`8YNa_$sF
zqR8%Au^c8x)RL6oV#7YA$ey$K1^)Vgbx3pnN3_RdCLtwI7nI;E-vs5Y;+rD-JC|oe
zv4L)rXd~UQLZ6Uk`<lP~lUBGnfNwvTK_p=bQFUM)1_u605SGB2(V-;L(bplYjKx(S
zs)~28+t-l|jky9eFju_WT>&MSzDKkJtJl2m(cnQ|1eD_t@rtY7Wp%IvQVW=B`doN0
zH4Dwaj6{f|#FkqRac^q9xtJN4Tmmb}&^iQbCF)Y1P809L_}CLlW{KPH0=b-dyIu<i
z4@GDztYJoQSCz9|6x5h422=xB5JV}FzY=-8i)2^jCk00gSOdzT7x7KttSOH(s=!|5
zD_{ITIN~FfH!6QnfknxD+>mGto(Qq_M#{X2am+?fYiUy^2xEUZ<N$QeHobT8EevqF
zh)-;0sO9#v00~9M+xeWTI=%iK6GNdjEya?msa&=q`_WITJSx)%*(`;-dXx#GyRENV
zw9`4`2m!~>{ywh&POZ2buOmeodqUubIT>z(c(sL-YIdMhF|NZVqt|A?;I2$lwnBJ{
zYHN<EUWDy+m#Vaa)KqkaTnk}&7=MuVm-%<}z@xMD@8e1n#1B7LsJ5y4Jz;z)6R{(v
zC3Vr2Pnp1IjI+z+r!~h)E&(Qhsb_K7m)}twP`uj{`)%u@n@nj{|BNn3*Sko2Ctq^|
z#-K@MxDyzOx6a@NCJZgXjJmxg#<Q&?V>t^A9a=hA>a?^_v;N{DtOM&97R;32;bJfm
zDz?Z8I^-N7w#*I9`@XCe5`;HW@|s?JwC_l<5fK++{CRGy{KLbMy-oDy?V?+5Vzqv~
zo!8l|7bf)uO^3?aFN!+eIv2!Jb#PGOfT`SqsCqqAi`q7oj&}{joJX`q7KU&$#8h&{
z)>Te-ouI6DgF>mF5QWMqGytDPzYz^EB1;F`8^3b)m^dGfDmCG8{U~_dIh5$S&Q2Ir
z?+_@fI<A7%v6-^M%Cj2tSjSmLRnYC@^?UrF4u6p=QWB9<Qqn#pOkL5jjT&;PI6|Ec
zr*6@8F6djZn&TN^bzWSPnO-j62liX{f#@>xmwu06HJYQ}^YUw|M5tJ)#eA$vUs>)M
zH;*i*62<s4e4l}#l|qkm1_UWxMwAGxzy>F(1FJvkGQt_t085-(Ii2%ds4OAc?+X+w
zM{7CHIKSzL2smwCV7^kKj-SZA{!RJg%6=HMXwRqK@+DXb{ba9;kVY51!2dv>Ec8Az
zk?hQZ<bI2*;bPVID}_>YtSnl7AN8zM^_p*Ev$US&UIM<)aQzYW@ti#WbYK)AFMHpe
znGt%p0hx{qzBkn94&Fv<dW=lX+3`;u4E@DYDj3T=7U3()xTKX*M%)`7{4Ht7>xm3^
zPny_0;njD(2X|-&&Q~RwNM<;2k%a&}f{xMhttyCLNPbQ3ydijXp*c0<9AFukwikH<
zdGBiw&ytMYWaeRFe7e0PUq;Gf#!3kbk7-nK($%NKo~{|a!b#xcy6m*xmaP(p>tog)
z!H_1dgO3zrA`n}sOXSGWa{ln|i*9d+wg&BsDDe|>jKHU=Y9h^jTl8A$8<yK>QX0x&
z2O==8FYerJ+(k~Aw6cVQ^^5J3{H>7}5r5p^tM399ji<du6dCKYGA#|J$xr$s1yf#0
zu4yK9Su5#po(f@@NLQBqL_9wDI5X#3DKX#$1+KCa>c}IwGj)6KvT0-9{4rA)YGn#M
zoiyY+4<e20_9Vr5vn0$RfA3&E`-`Abl46$3h3mb5dF>}K5$gx+oaP2t*g-7T&Zr*w
zMNu0IHqOA+UcSYRR{Yk`V0>IS((y~2=jfZ;!BBZ+TA`qQx_p@YgARToDyhNx*F{)Q
zKP9!j%04>e2t0jVh(K$x@RFfG*?7KDJ{i)V<O1+dk3p1|ugMFCmn3hyOYy!z%Y$2N
z^m;?u<r!BNW$$Ph8R2a-F3!crdC4-Hp7;>Usw>bPWSJ2CnI@2j=fv~nG^c8>-P%#1
zL8C6?s*i%@JVMCoP{9R?-K47=sE!|pEarTZ2cz-hRdY%HR|QWW3}5lMP2&VfiJ|@6
zQRDVD2WeN^2&+Wd1PAU<-&GQBT?N4}$|;Olm%8Q~v<P|)fBaw#EZli0zSzH60i&9)
zBK4JI8NK{)rImQ*cU~4d$mYRzK5(^?Kc%-QF0)*i$0z>XRU{a041O>5j-xLn({7R)
zN>f3$AKM`_W_r$PBqxf(3FvagU^f<lYIUbPr3wnI#QZa^zs!ERn11rTKZ(bBvCXRz
zrYQ@H!yHJ%;@XN<zmGt#jP>z0KF{U4#g#{&{uruRqEVehSqW7I65?2eL~WyHJ*$Hv
zU=afiJ@IMGoP=oE`(~`FZwOL(9?&()ss1=*)t>%oy3g7p+w$!RBL8sTzgF|j^hYxs
zYOOx}w|p<#$If|#QGo`7ixB3?aNql@@&mx@vF2!O!EmtzvP5a2-j`r#i<DG$nE~eI
z1!|}%j%k`9kkaiVnc+2*<!IXtDG^(NkfcmOO?}iVZEs8FylTTVFy&4MIiNM_#<XPp
z-U*am))vEr&$vH)NSzNjFAO+;8F2LR>R>rZ>PZ%P@w3;Nxw*e$!n$#mSn-%h0ZA)H
ztMHUGOz25TASR&_3-2I$$pXwvb}*fnRrQUb*307Ij+m9wK}J$Cse3KQEix(udjj|t
zg}Zou%0x(DS2oy5+}Q?G!Q6r7#G*RB&xG6fT8-hk_DFy{)`udH<kPf_*LRVxDOS~V
zzvm^@P&4`TuCfI$Lh5l|@fhH}L;C@;jIxQFhziVgoX$}=3y3pQ*9D`+hDLLyYGQQc
zH4eFmd|+T2UDOT^Bl|&V;Sb+17YGQW-Xt7AeFbbdUoZE}$}l;~DDa(mQm0p^Kk3?r
zm^k(AR|u97o2zVcDy(X3SOHq=<*U(%Ylpr9ub`nLQk;S3TuKD*%?S=d_k2!^BK+yj
z93C-uaZ2!c7sQ1Ez<`t+d>LEFBC+?Sm<Gf1r&;ckMj=c~9J2!YU}5BFz~!@~-n`|!
zX#Tr&@k<wnN3ALr{hOb{*s})~R!Ak~PG?-31_dr0Nus^+L472kJ>Ij3G!|~PtCfIm
zV)W+g3giJcOgX8yVcxy}D$OyH>~_TaQ%!+BESAbsuP)HLg-vOA5;0})v`sxTa6#!M
zhwmC<hUAS-ONtWr{1Nu?f=?i5^u2G@ogSOhSRKm9&g<X5o98Wg#kJNC)UAd)+4}B!
zu$Xsy`qo7Bun-)q!|()VTrlgT;CFo_7jmc47F`D2AIR)F>&2$8XO_bb`~w|lt~=@B
zzd9v+I|Cx0M>JqvqmZ5$&mPq&R6PIDr4=sbn|}(~8UljD6DJzi5bu|Jf!qw)<y5rt
zcid6eGV;dT5NnG`bGzgG+kV>Z%I}NT!SmrXQwv-)=~eR;P2?^op_Qyla9sc@Tjs)n
z$#EL{4Xc5LDck&b_yAfe?W*FU5FBY>rXbV#j;Sdp=(V>3SnakUk%T}S=1?BRQ~ZE_
zMHZLXu1S;Vb{m*fjIu{g8&PGfO~Q^(nFT(t5q_e=sG`6auF}z-%}<I)8)N|q<_<Kx
zcR037L$%1@e?FE?5%8wR%UF(x1dIzwI2cd_NxjG9uV;kGK5N;npABbCeB5rmUtMqk
z%Zq!(VQ9evhDh0t#23(fVzanEW8883CoGbPh@>_8*aq-u4|3$F5SFex#|#zI*m1vR
zmT^Ec*ni~OIn}zZAAb@dmxqY638Ob-u5rks@vOaBb%G$?)LdJlFJ4erHdyDMxnO66
zVH?L+?6l$sDpg&eg~teE=~8#vEaLYO0e?FEFwP*n_c8`8f!D_iY*e&z_kfgwtSMWJ
z#5~C%-~9AjVx~hmS^Pt^ai4-D92~S!Z_4Sl_nqcW71lwZTD$Z5hgC(?{7i5P*;9qY
zfl3f;6L5h4Bs}$yees*hB5kuYge3`E%4UDYk1`DWZsuhqND!Nm|Bjsg_-6#VqKqN_
zD*2XwE4qStCV?01>{UT-++Jwn{W~?pv^ebd54Hz$981yUjA$)7ZtoQYr!*H;|4K2s
zGzo7D(ArD@tHBjbDKB<K?9T+=w+Eo`X7k8rECYJ!u7@dd3Slps#A}3V5Jx}lFnP1(
zqmIPvnB{ezy}~w!Hv1jFGyiRT%x45FFs9b`Y4+um&2N$(RIvZ72v11+aU9O}3|hdB
zt3H2h@{fq`h~?ECfin6HsRga<Zq(MOb@P}sE3cV^G3hITxT5KJzeEQ3*4L8o^p11Z
z7r&`<zF`{Ca9?2-quIA!``FkQ@v;v1W>KWQg!BEVcblbiGjFP7O$DxM?)PX*-LAYp
zV4e~sFh16UtKj~1(1ELTlYAs#*ZImdz^le(-a>{^w`8M<6G0}6y`oKo*YkEu=|C(i
zMVb*Cc)f!!ur~16^npM_X<-7|EX>;OMKFi%w=6>&Hbb?t@)}cYx?MEF(3Ob9pOi$*
zKj2<yK(KPP+&&-Oj*_l9b2Bv_20c&bhzHuTFN}4WCIy~mi=C<OU;nKdI7VMP>e5oa
zNImT92{OlbcktO2JACkN?%T90^YzS?i2T#>WR6I@`mS5{ew7@-6yJ#gfR_!4rtceG
zF;;AX{UvV;$+6%?dWE*_v_|035q`c#$EWQjhg9uPQD%LE=Q^k?ho!DJQ*VN=Mpgeb
zc<sfQM+wVRT{vK6$H!yBI<10-UxTjaJhQq2WI_gP3*+^_fQhZH340ANvVT4~dQ=i(
zYL%rIVg%@34?UYEexsO%%5G63LoFrYC%s$22N`kLpq-igY&rB<4OVS_ed+1<_NLCc
zK*yyGO}cx9tiuB55PJ9v<N2NFKFR~at*?mF_~cMzq997SjN{<>r|SFOa#)`ybPl5Y
zqj#rWq`0q+2+ILg%;SYnIapc!Y)bhtQ3O`Hj4zZQD<;2#Fprrnr2v0PCc*H59;cx|
z0a5YCaNmF#)ZwL<#2Vzf{iUI`q3}EU-do1<FAvkYvnw)Eo%ES{MOL)R22u5V7*SJx
zvq_0Kfpy#-%#{8Pr`ZF7Pv6TEXi<6AOak>Q6YJne(n#s!fk1HYtl|gy>JT|9A{=>E
zB3|sE&*-bqwMIC0cGWmUykTh?b~QM9eN@so(Z2_+wsF1hJ9cEG%3FxcYc|PjB7L9o
ze;)MpTe~`Bf515WvRQ`yk%pbHK|td-4ADSO%}n{Q@~AFyV8VRwF(D4fSve!_Z0}J`
z!GSvDoi)~<yOaJ869wbv(%s7L#=Nj7Z<@HbJ`4(49&<=ZiJQ9oYCeTnC^37>GIb}w
zd3){X2b;EUx_#Gjjl{D6-?B@YVu4+x#L9j$aus>VuH9nN%Vj-pr#D5{(SNtZaqLeO
z)m>eiQ+92s4;53(AABZy9;sgVmHUsEh)ihB?wdHeI(t*6cQJB2S=Q>`|9sfCYwd0G
zetums=eKgd)^60byGL1>>}Iq5N_C3Jip-(k3o0(NJLC(-^UZ7iZ(HHbqQ=D%69%z5
z3pVyZ!QOZ|R8KEowqM0t_twk3D+lG)SNTu;vdjF-E0}PSy#zO(>pX;uUYVUBj~a&1
zZ;d^F0(-!jTTN)f$cRP(+Kq(Gg$3^(%I#;})=OV!OzYO~mL@7g-t3+e!~*A_lZg$+
zPxq6Fu|FPNe+2Y|)09z9rd;?+raXJUKfYbp`+<|_l}zNJOD5_R>iEXdo7#|svd6J!
z!6x6!#2MpP@6iay5XE>4Ud`)10Om12=_vc{1Uc-O>1*bV*VDof0MdI1mj%Y#zX0ZU
zQ6SRz=Zy6M$hqef_<J4co4+c4T<#}BG|>GC)rvZu;bNI$49G4sEf<jeU+WY4r}b&U
z+u!KMnvmWw7G4l56<+ZF;<A7G(MlHtjy!!n`O@lt=y*o029yJc(dGDWhhwdr0*pPB
zSwB*f_rLG>Ko$o|GaRq;>Ypa`&r|*L94`qxZ*TM|692zh2JqFIDl2sPOi(@cpGWw|
zmA9Kk%O!Qa<+B&A`X4%Ch`>-OS(Rey{}b*0{rhSA8_HC?aJ)zN-*-$00i<3>a6S6R
z3H_ISdCLb-X1}g<u<L*5c*Fsa8pH5e<=^GU|A~+m70Li*THn`wF#I1n`U9lS0_BhY
zn>hME4aZ8fQ%6*~U~lvOA9n<J9AfsH^ZwR!qpQugmxCW8SEgElJG34^@}|~$OM106
zBF-`cxUk~BJz2(hp6*!MecXI^tD~o7(e{bP_w}QXgvf7Ba}pzQPAxOW=tFPIk1qcq
z8G)%(>H@pbqN`?;@z<{HbQ7ulf&<{}9FTH{Y(@1jX6`4o(L_80lWjM@1#&_IJb{}w
zo`g)V<(_>wExmltXB_Tg=Ck>E54h~R`$TLhl<k9r^NMs%FnGIWSZ4O-;?ErXVsDn&
z?|2mVNlB&~M&-zLSX#9Adn9L;*nvu(802rRwm7-jfvt5NE;5||JU;DTRojQA=*_%x
z-!29bHbsE^y{2`ZH(S`N7Bg2<C?}zT6v&-&`1uwal=rMT!L)D-sv`Sm+Imj<^w(JC
zn;-WTg$@%GDU7r)CP-j|3%{HI^mz|}Z+79wp9S0rncYTM62b3T{eetl!YnWCgVue&
z3d!Yn9Qr)Ja(Vt?cA)^HbI2V&`iDjo(fE_)!fgMhi%!thgB|X<2A7qQM7$z);!-n6
zNZUb}fZGC)JsbY^#C)Rc+`U!04amry)6<fknDf~#>ntH3lD)>TeL(I#FY|v@TJJaa
z$v&pu|DqB3Wb0emy6Z&QHmTjw51tA)(FNb5z|o}$(3Os^-+jM{h6xY06$8fg?%K{|
zLXdA|^Gcj#INm9(fr+5o=lI4R)85NGyK?`pajv7gM+&n=pJ?#@H~-tI04!{`=D)`B
zSL0l0plPQEoW=Lx`<!Uo+2E32t#j*%z9*0q?GXSN@J&-@Z_6&OPTLls8%TFvqaAk=
z1dtjoCl5K=k^&jg1nmlz%NoeK&M}?}U%}Jsql@jCyrBMVz;&&;fq{Y7)6i1h`ifk@
z3*@WYRX{#VI&D3jXY}xVYf6BmS3mW&9`J0-wDB`j|McpU>t9Ff3oUTa3sa9ic>dMs
z!GU82TDokH<EDu)%RcD3r9}o^t{IXj0dTdWtv{+Zkt%)4C(JTalF_XdUY+6O*+o3W
zwo|V!#XdGUqP`MD>i601OaI{}aR+}nah@uf;%IpJ?I?(lMGRcZ)A%k6NI$kHilB29
z%4)PVAO>E%cG~pt-JNi^-M=_L*(QA6b5!iHB?aUsck(d$%Ir0)NJy5A?$a`_g?MC-
z65sM`T-eJgzZxMTbUmT4ar^^h23wZfmN)8ON^CEPAv@%PY6>b)J)h6zv!@=nACBv3
zF(Wq+7sYk1ty>?n;d2q3O;RRB7d;Q)1&uyyR&iUK{heV@{K*Fb85ZU6&UNn9j)tv{
z(O<q(<voJ>>VFaD3vp0<{%5<7?rV4d+FRC22O>2bbu<(p`?y7_n_F9yPx(bv{op52
zPcsA5`E~^*@%Q8>5_W20=av$EEh3Rc@mqyM=P6jnPhgVi5PB`i-P*klQUNBK4x0Dz
zGUpqWD-##VC!BX~a;_<fXONdsYiZ{G-d=veKJ@0ks03Tgw)wTh&T*>SNyyuzTyxAa
zy=-dN`v)gZFHZ*XA1CE(`TyoIzteM<vwrZq;hKQ_rr)4){Px;PR@WD$H62yviA>+a
zzD`Wf{?#LAz-H;?=rjSw?aqyD%yQ|u!)yX^MBry`Er)c$JxRAUk}w0p!%RqZ^>6rd
zXhMOCA7X%@j5vcn*(M}d&wA_RIV8UBn^H8PV(RMy2r)uT+to=0<>_3A0CHDus^Thk
z8*yOagz)*4F-0)ko8Vy^ku3g|)KwOXYo@FmuQv1#fRl(WZY*^J8O*|qC9$U_o%N~T
zJciDg{-Sa#^^NvdDS!FoKgE|El_5TnTCezRVo_qm`OZ!jUQX9M-?v{vI|X&g&uE^S
zR+uFyrQ~3cQ}92<U0-BQmP%vcV4K#lDau)>A&bYfrQ#cH-Gd>?eWsoyx!Rhi>|^fM
zCa=Hacd~upG2-s~8h?|g-^p(VRhRU$=d8jjDk#ewO-iT>d0vewZ{FJia@yN`Yoql8
zXv&k)hNVwUJU2h5Q4kM%sFt2>nZG4|Osw-z=6FQ0vpH?FC=RdMTYW80OX04_ym_gN
z6u6_69y!A_+n8spFljG~oNIlZ2J0rgRBz($38ij2Q0y?NZhS5JP2EWY?&J3kTpQW~
zJ^+O49JA|yATH%-u5GkaZG*s_IF{485Rgnqr!Q)1TYWK>4hrkDIt9<h@<f)$N^Io=
zk9C{8>4PX9re#bE#!z}iYpwnHsUbi<1$j4`{SSgm@kVg1c&#!1MfPE0>^{lQj~}Qn
zL+9t+#vUvFtoHCzr&CW*cT?YhK19-%#=FSExAka_!Wo?yJaW{xkmOsb<TTBvzg)FE
zck8AoD(qi7ehF|cSE{^%q(UelKD*o#*<JY;=e3_EczD1G5H-k?-8ZQwDLZZzNnJGA
z{}z1)8$lS`Fuw&Ti5>a|Z?xm|(kuS+Brrd3jKKX@nvph=sgRIMs$cF?rlMfoT`v*N
zNONMthtoRt234UIV4fz(yFuE_watVA5d)~sWu8%9od<!2L?;nw1c%T~oo<#q#=~aH
zLR%^!CM*$`Z!aI=MN?6CF(Xxi<{gbjgt0xRbsRA0cy8`R!4qlwu)UYxzVBLnt;u60
zR+Qp!d4h(8yB&9pMK1kYXf^C1ax}&n{c65PL2_V8H~n_2IAPF#s(y>RRDjKOw;@BE
z;IBqn){%Q8i5%Ex7Yo<^YBU;qeiyR~d;HBi)ohlWk?RvgNdZZI9#Q&9!+Sb@;w|AF
zGkXTa&zhmF{@>%*XP~9!uo}~RkA5=%w@{>+bTVyLhsXr{smUhq(`<ge8=AVBf|siK
z6tT^}1HardXp`8PKKY6V?FN+DYg<mck`41W<IQdmi(RvcC&9YxKbZzg&L?|pi1qq(
zp&FMy%E96rsz1k>z>d3e@0HTDAAz7Rp^x3Za-7-A(0u>l2|vmVdU@mmYF*<Nr1YGE
zC@mGv-Q4A|r0^g$2Z9x#Q43E#hb1l}`?#L4*s4+f8E(61rwaEX@S$8U&Q-~|2idkc
zI~sr(w}7;6XEL`YenH+%o;wt{jutP?K3%M~OnEyXYwe~5HTA&*6>V4NdsBc+NwDZ~
zb)B5gIAQx>QUOjJiHOMGFv8j_{+o$gac;x}iO5Tuzr@7!5mmx?N@WUB-CKQK0|ou!
zxjc^`bu0-m3hV-rqK%Y_G>TM+)QN;eY7jr`Q<l^LUZ026&puU{VVF-eRyOybn@zR%
zEH}^@XP}9s$?7?gAn7yi9@5XYCoF@(08Y_3tVNdWKcIUKk%YvRs4>0G49%=ds(6sF
zT8sOfeU9nG22PW{wnTd?sjFPWzv*5h2`91fX$#@BZ^?Lb8ssg+INIq_<4V1D__#T4
zyS1(I_%3O!hS^(u0tY1fcRp+iQK_eGQD<BE=x0-zgWXH>X#XY7NS<7t#O(&mVSj{D
zB}_77G1^H8PcnV+mT!p~)~pd<qN72L%qYwu8&U_kZrxMJzW*0V()Di)X#F9Z`M(;`
z8Pt`yQzhhJCCEJ<R0J<nY6>C;A%d_?q%oA@<>Qri6`9s~^ypX5P&}=m(5|f_eYRZX
z-=L{G*+5g0RG$==^pz$ysruXiOie5KbabgX^h?24a79<KKT}lb7x4zppq)o|w`QsN
zEFD$LLtO_gZO5-|5S4gkp*&4IeZ`>5Tqq6GWzYK@eO2B1D3=ko`{nSnoNt*W%p;ZK
z@jmCeF+7$r{%&{mjQgI}o>S-%8&1^%haF@8?MO4*;=S9%q>eJkHT91_Wc(zu&^Bp2
zO-$9em2$=x(rdYX!0fmd{6+n%My-ZPv;JXzx!@9>sxKR^vMMTo|D&tGU#90<#v8ZB
zk!jHPf17ozl|QHxLX&G#TT-V}98yb@Z#&*{OY%<oNaID*kQ5XpK>;;uRx|ykalCrv
z*ZS#virfnlQXi$1;{sNSJ?l5Ws&2l4VuzEWlJY$|eD<q!Wi>^8H?M``3W{JaG(Oc+
zM0QL3QthPlKM1ij5dPT0aR!+8j7e=LaaNLPw7a$PZD2trZ~?@N_UNdI#PvWOzv5@5
z>m<)D@Z*U`Q|jE`h;^ZhH>LotKQjMWQtjF+-V@qL*u(UESi>pLlu0JD?HzjSb`Tu>
zw9kHJ;#ZI3+J%$T!sVW41YQ;M;<tI9?Sqe`lIgp!_al$u&eW9NdIeI{cD|FMm5uq$
z7AUTPoKnO(rM1}|h;13qi1>8&H^ubA0RvvI=Ri~RFEW;3V@E0x8%fGQHo%wMRmR8A
z<;Hu7oZs*F857I6|4K%WMO?K+$p`EG)RKnEp1vxqD9D@QwOxmIHY8O8RN}uVeH^>O
z``u)UJJImeufpCosrPu^y4Gtj$UxR>B1oyqz}9PF|HdqDssG+`Y@JpDuA73X2?0m^
z4U&fg+y`-QrBIZ%aZ{II)X26Kl}+cCc{}`C(qLs15ogkD@29`07YVa|?8E6iXmI&a
zpsAHYsrn8dP0QY$=CX>x0^Q5nQ*cXb+Fj;v3;q`gizhy06}aDxD~21+w@M;1*OB?N
z=*pzhazf%qGQ1~{su%=`|10C#^SGCWpYi^Z_RnwJ?&sp!-hb(ZMOP&`U9G$^qu?ji
zTGdV_Cax7```VGpP&ue|vz^WP6q6de)7}EYe!U!A3M<Kj!-`zM!~w_oAo56)zNdZ-
z=6&D4S`Rd>!>!@E?%>Q;nx(HL<#)}7S)she+wRmJH9ld%5;VCqC1xcSh$?X;pM9DO
z#QB7nqd9DppO|}T=j87B@yrwBlP$t)u<~H%lNHd_K?E*es+dT`#}c2U$;ybbeHo2#
z$)3+^Q)a61p7%96?pAy@mS&Kk)BPH74847^B)_j+e`}gyZO1{h?yT6xK(Hxx`+()u
zK3}+i)X8R%_}kPlyoSs%^-=v3It81pziHz9Z=QZ?%?E?O3~c@TI7zNaZ|B{4mex}#
z&F-*nmNb|{6`M_3b>)(t3f1gMmIzdBMIgXp`)$`(dw>mg*CRvyA<~=Md*c~V)M{>5
z9&^QtF7eO2!aW1_D)_Mbdy~|J34>N+gTtpnhRbM!w)2UE>C}x{j>&TCNVDdUSbKht
zvq=i;$S0SLoVnXYR|ES!jLuB{DOxy9{=GvcqotItjsa@rK(YF-xa;a!cZY`@(&?{|
z8^i8UOXzk-orj!8@2BXiueRoWMpMYEttP<p@ObnoqR~gS2JR<fF7^Jwd$DhlhQS|A
z#_h!hymb@Nps|O=X61ijL>AAf(PBxT^znrD|I==`!NP{|u`ARP$WnMycvIa{$V%D8
z9XN}-a=Qu&s+F<}J}c@@4rxOTBULMy51tcNcqb^;)r|Y~J&T<5kuB@8gOJr#%}z;Q
z&a{3lw~7f%Q4dsqK1=K1S=sfapaRxVqx8kVl%c=nRYdLSUQ@VP-!?Kfny%u>^soIm
zeFKHt1Zy1BTkyHD`EMmGWU;xFea|1N$<V(%NPO)vXX)gxH0-wvjv7>~p0FgVz0KT{
z^h*U{SC}a>vJ`Q!^P^132@-k2@u9SJ7`^V!wl~FZ4z+QFl=9d)WK~wKASoA@c#ys-
z>qo<~vMtRsQc{K^qMA%-TR6?kBOBL;;b&e%@)RTHD}15fif{d8j@kj`!k6uq+}7^=
z)i?~u8L93@8Tva(RWw0n9E+EY9;6xv;@}Gm)d$mjB=osD>jiJs2Jg&z4XnWPRGmZ}
ztS)quP^H-6_9cKe%(U=4QSOfqL8R6tbn$$t?&dBqXjiFj#X#5K`jN`$Y}TCK)=rI5
z*_7Od7S80J8Pq27;5_J2pC)h=wV*GcR;MG@^Xia7(;EaLqU#8#pt6wZIq#i$mi`S~
z(p89p#L=!~_-qw-IvIP-zv<`0eN2;2Q~NqR8eGNPPhq`9`Nzzit<MkeA;=zf7{4)i
zGi@)l_-g7w3#5=4Ir(HkokntdSPJ3~K|uB_^U#ShlJLyAG%*p%mgCArq<sZ*(i%PB
zxwIQVmywPXx1d+*t1I+7BQc0I8=FQHBzYguB}*(>7u0eUocASSXAYfN`LF-xK=m6D
zrG6*d?k^DqytJEuc2y&g_@<n<f8zqubR>l*`2uP_(1Z4ZA9}x$Ym{e`D~Nl^0PtGQ
z9XLxt{>iYEf)kQ($-M?^H6rzJ^~okq?<l%vi&z0DFEx*mZJ`~6+@2|NK^<9N%Xo`<
zw*?HcH>hPU^%zlqrM|3Qc^8zq`^01_6**ySt(GA%(B{wdB)~(8Q4eQMy4j0oiChw@
zeW`)hS+Vw20BYp=$Qe5Ru|yE^4)Ovr3Q2YbbZoA3q{F2eiv~rf?i=REG>0Cjt$usZ
z*PPBF+gfPD>{2v+ow2c%NwCqvK`<m{^ml0%3hX_2$J`{@K_B6JQlj=oBPN*=eOHyS
z&l;`fr19nxsOjsXDQY-9*~`S;l>+BK4W{;otN^C=@U^(>-<aBZU|`oLrHq2if{I~v
z2q)wjBoe|5A%kF7H19RBxo{QV$F?&lGObO@PVzlZc$$JKJ!LRR(z@iSXnDi1zi_p?
zAQ9pJZ#QqJm0y`iJ_jJ8dA1Kllq+h>K99P;JpL38E)v;;%4z&Lm*Tg5z0d+2((fJ*
z^ZUg->ePSe<LD+mWB-$+!GDLQoTe3Us49dnDJ+i-<V#jJfZ~J_i@!}<Zbp}}z{hpd
zNI;gAYBj&3tvF}^>KH^^jaqP)g$mqVaxCvT#dS{Fi>d<apyZ_`%WpEU$i>uus5{KY
zIylkPCRN;AJx}=c?bfgKC~rDvzi+qhl-qi4OyOb?n?OyEny=2cBU~0E+me1SoDF$~
zXZCDq9Bk<=Y>2`^b*|+F6)rcpq9vko$_j&7mj%I!kO|DEmY*pxVQllumMFr(|Iu1C
zyoblFv(Z{>li|{nP<cFW64_f{#7QhZ#;FFe1*}%n*5`5^x-?_byWGTIV_{!If6HF2
z$Wk;vgWQLlgURa>m1=9A3F#R}>PQ+3v>bFSUDgB2gi2jgeMj9y{ki%*b@-O*GAfFv
zd}9azJlW)<hCZe#<@-YlcFo?)J^MAaSKZIgNR#U^@{ttzipf2e1A5=+d<AsvrPk4O
zFVf^vtaG^B!bYrJMfaB9nnSsV+ALuB=pDbk#Pw<Y@;%PfmG3V2<w>N!dkNaXvm8&T
zX{WYFc<Llyi`ddP@RNb)V%gjCrzF{1WA2yVyWR$kmP`9sQZV+J`KnedpDWXwK0M|L
za^kG-dgO4xOz!n8($4Xin9x_H&=hgr!+8?3ZyEaMH7g_hdX-c5PLFHr!I=3!fLYW*
zkNk3u%`YOaT?5eGOQxeU57`s{c3lDZ+yf7M8?wek6Stz2hrJE2IX9DMwKIq`azuJO
zGdG=@g%w_zRJfezot9+cl?mRCRC3>9;Qw<?%Quv~k+loojzU31cb_ZgH*OR%tD4p}
z?E6R}a+9xQ-CyxOlpNV9x>|c>;94g53Z9H)sOfp5(k6_IhQBH_Kkb={-jgs0=#J0J
zKX+;EF8KVt6}cH5{{GLag*a<o!kDiM9Yq_Z=X;Vp$K#h7f1&RW9B*PFj!eV8e>MKA
zm=ZY-=-NloRS@)#{o41G+9`&^Qjp|L2~8Shde*!tUp~j>o5r3Pofp+lOj&J~drS-~
z3~M-w8eCf=5eo>%=<u_x!AU1y>4kq7>K;deCyiDQ#NZ!V0dRF?3U^@gL}7by(w}Y0
zz$zxs+B2?h9IoGFI_US)TeBa1(J<(Hia6Q6(4BpD@lT6`aiVHnq>jk{w;1{_Q5ir$
zJp_pGD=;zsKV{Xw>Vy|$_pczIe=tG*{f8}pVKiWK{1d7E%a~&~UcgunYT$1#;9pE(
z1dy99xGFM#AtL`O^!J7Q2Aqyv`QZGQiTIaC_8+^Nb7K?`#Q6Rth5yUcfLUnXcy(Hg
z2;qf)u|lH1=otd6f}G)u;V%>8Uwn}+a^pdZ#M!|A#R~spYB$Rw09L{H;85@{&*)!#
z0r0K*?1tih)B^Z_%fnC_QHxdU|DHY;$QuX>DVBBiKM?#bup+1SUc|px?O*h1uVn+&
z-v4F7f850XzcAtdWxW4#?EkOy`&*p-yKwmbDE+=Htqf&K7FvG%U`=KC5N9-2S+U;W
zQF`okjp;(kz3e``AaSZ3++9J{iC^a#)bCo)GwviTg|y#htt_1RfUb~M<T`!Wh!ob&
z<mcv4Y>r>p_B1!xv}>gDy1qPZ<}<D*i>{4j6!id#U@mm!);llE-xNYqoIBZ`^4yZB
zFsfP0KbP5`uF8K4^pLzfhg)`r=W4B|0K>D&#ofg6dj&uCRann8xo3aGDMSGwA+nRX
zLPa3XHO#qH*Q9g)WeA90qKlidZPNwb;^Ux){Q-}vIV5B85}S~zQWcf;B*FB^*00@{
z>}R-a4r4N=$9I?BC!6J`(J{*4_@D;O?DsUleyV);ro#A;cRfz_VWRE#qZtxRZ=khq
zE0AnJo-SUZp?`1UQ(3@N9}=iRKJ^T=kv-U!|E=fvPWFh%tgo?Ax?{P!AH0#@!_0M1
z{8T2geL8-LCo{dv!2L|{jhsOr>3ki2#YULVZ^ZGp!kKE1CubNa-a$6A>%Chwn>L%G
zMl(Rkb6E&a_Rh)Cb@+VL=0LIUDA?4tI1JbL>wpdYtcS*#$#j0Q*>`sl%=$KH|Ep{^
zXZL4E5TDEuih1}fqS1jk+nHq}8>WG*LS)xjnsb{SGSe;phI-{N5B5B?aT6aAFXr_q
zKmXVddXi`Nv!StG4DWzg7L~eiA0Bt9d%``>CJGTauH)<Gyefeyo4a<aI9~Y9yHZ(D
z{+O@9eX*}Wfc#MVX6?x2kNQPaSziHsM&D7FE~1??zrVZg@h+`gpim1?QGE_bf{?_!
zRAqL5dfF}E??Q#vPvn{fD#OpW9(0iYTapE{_iExCF=xiXXvZ_zx*Y%CsRm6pS>9i6
z3TP23`t`C!xB)SC2hRaP1lb8b%yEI|!5|qm9$hTfhk)&}Z%v$8URG+gOhA}0WB}x|
zk(<5Mub6lf+6-BF9RQT2B;wjs-VB$EaFV(_9t)v3^9NYY6ZmL(M1W95AdfLS*fYLW
z8-uV9+P;A~rk@{LRk{9za=JT|V=3lTee~7>4Fpwq?KQ542flmkIY3wWsm<a?3-fBG
zK#oRD-5Kw|TFAWDN^Fn}LpG3Wf$OKStCzR>JI$PBO;h$JW*lUYd@gK&K1g(H308HV
z(>tJ#BO!|e;>UXjos=Ml?$=dk@w?tP5n0Brh@nRwkA&k~n31w4<9c%%0<90H1+aO|
zQ2Q|ForscHLBF+yc(LVomX>ChQ;lot6lkA?S*7UxM+WO3OKQUE^Wtz>Uf<(%WYv<X
zbuZv$#zw<$au0ywgM=A<jPpOcU2=tQJi<z^o{|sq@rkL+w2hS;%ZT3h(>mAZR{e3Z
zS7=LW5Ii<<&K17GDQ+Rkgnlf*N&7~A|4g7-p<dth{tWHdeP4kO%GU)}{tn5HhJl)S
z;sYlQD{+jIvNZ3Tn;EnYqbRHVh3MY4J~fA$m(8Lb`f4hCfAfSq&W?3*A;}D<eETad
zTEu5pQ$_0bvKIOsw2!)>O57pLe~q!(R-p#B6%!pIFcwjzKGeH9y>8pdzeK--o|<7P
zPr^UphG*NCJ6H_X!SE@<@P94-ZWarQA6uA4OftEeiQ&M=%{M_aQX4rT1oJ=V-e3EG
zU6<(v8R17znB4bINqmBN46%N<YL<!{Qp)Y<;p7Rsqt{EK%n0l1l_ebJdz5Z&CcWWe
zk<vibf-Ij`HhktN8{j!#jx)=`zI$iI(;t0R{ChTruB4&MGgU^ko<uSn(8X&sLY6{)
z?8ejMBC_<%PSUOiWKPA!<$i!Hp5RUD3xUn!I}9!=XTt$kuBX7JQ-)_yJ7r^ZL<nXT
zPHzw!GSpWrRwcY3Vxoi#lDi-v{Y1W;FSMd*>+4?2(a=Rvm`|_|DUeKXJ{96Bww~b{
z&KiC-!i+63N3-+umb_%9UW~jb{3g-H90(&u6zJpUg2<C7-}2(DhL~c2poS104_bhV
zI+W=7ff-JMBiMkhbfw+1PIKM_Pt^efNMo6SB|wJm!LKj(DWUAAJUQGS@ps);=HKo!
z`^FHmubQx$oj-H;M107mX+Y`ue(WyEd9696fXJJrWA^;zf_Q*vq#?oNge?QLgMZ$n
z^@Lmt^P7E}CQ|WRClzQ|491RD&!~4Z+A;H-bMI8}_@dRGa4VX@Z%71G-K|9$g^!?n
zR_6sVplhZZM)y!|*PJU9c6IIhpEiG&F$Kcnxc<pWY-`V}wNGq5m568hpKoS=EcvtH
zdpxQdK}b|NNtgxI?ohR|{E6m!awa8;a~v~pxv3SfbyK&IEz$F2!obre(|uBvT;tnW
z6QgsBi=k5H+r7pRX<cIT-j&PK1=)kI7=}yzUV$u>_0Du3XEqa@ym!a@IuRf9qGpE1
zr_UgfBVv^aE;;_fpi3p-;#)xT*W@nSvbrH4li^T@9i=LJt|K}&YjE06S8uYS3W$p=
z%Uf6%P=V=!-<29W+@JW&7CZTYGL%a}L%MztmPpzCrtR|Ypv7dR?E+nN(Qtrwk-dpO
zwrN<b4~AFv@T4N3_11npbh%?x$_Y5c-{FjDzuram{dDLy+(}^w5lFIF<D3>)>CBK#
zYo}IK8yLqWdw3XN<tT^%sw;?13)a%^K5`nQbskllKM|fa>E`pTTh;Aee{c|(a&5&J
z8%y9mkfw>Mv1&>A%n>Mni8fri$*_POep<l1^gR2WMp<9D`WP-BynmAj#VUFO->`1G
zFEm9<ca}uOg3-ThI(xsM%dPUCxAA2j)?%cn+ozHuZ!p=A-EVeEJDpA`Cbwf9KG%g9
zW}A#y)`zrO0eAdl5@QlUl<CN6<j3&Gw+)ins!m>+_D^IObc#clC)&frZCNoHESB{Q
z9%$YK3vkJU$^djHD10@r8_UKpi1bCSl<1tBo=u{>5!buGDA)Ck6Z=9);VY?Vm7ai|
z7W<ZrkoH${fia{6qNkGVctJ_t=I1}t2<BLukL3>7iRj0NkAreqt8gqOSvLl6>PNDn
zr^3xf_<YtZNeUGMHW&~PEVDTL-dF9eA8lC~>7LV>(0vZ3`p$o~QqdhxNVxjL{H0-z
z;WW`hee2gc@@e9Ub{^&r+<|9AC|zIKm1AjAy%>FYwQ4+ak17qL_jTSTHF}G1%}rfs
z!0HHqp)NG7)wqe6PQp~zgc;|;D6={ub{7dz85KNt?b)7F>X<r5@4tRQk5@`JyYp@_
zd4FQP!B!EDp0=-O^|0+fC3%D2>_CG=#g)l(l)j=aX+5t@&Uqjs37!!xE}~>4#wWgg
z=)mO4m%Zmu{><R|S#4dzdyC0=rWwtL#rri86F-2$5x=#-Y+vIu)>X0Iqp`Ho$D#>Y
zyezz?S#$g88skNMP0j>~&nM$YO|J$ONrm#rLHeY2m|H7}eATZ^NQL|gcD#v36kRAm
zFI)!vs|<F6w^vm%DiZMPLBpv@jZ6L97nHl0_wG><-X4_ILB2GzkN9`!8`s*vY2)jJ
z(>-%W&j+UM`udyq;cvY*f(bsC)r?ftJu-KF;e5U3eD!kZ%d_mZ<bp>A^|;rxE%z9G
zV^<5$yHB?anWxSe{>YirG%vsGn-r-scFdSzJ$k=tZ6EX9zfusBzK<cFhvKY!?sDwb
z*a*(_%Fseh(fA_L;dk}k+Up&E@BQfc(`4rHn}u@$Yoq?dVTXI>riUvmWL;u1$rZp`
z?C=LhWj0l}Ws>d-b^KAo8AC)#LiP?a=Nkw-8wpxiC1Gnfq{~5|^C+vs)@d0dXS>w8
zMFk)K$cn~-zr|Wzsu%lzC_3+Ws{TKYSCq=CWRIJyWM%Jrlki0d6*4ZaTxIWdFG@&O
z$R3v@$=+GlUK!Wk`x@7}TrT&zxcBGx-~IbO9_M^M=ly;?pRa7ayp&bU=u|p)hQQEW
zb@N33JBArj)3+H*J3+ROYD4rMf^5NudBG>Kumk`j>IWeVyL%ZLhxXV{%&%1MJ;r^H
zp{o5|$NBSq=e1Vvc7uA+CPi>~hOH#B2CaQa;9Meh-+4Zfct3W*w%mu~%tGI*_;=Bb
z?+ed+jjlB=$apoJ(%t-K5XSed_zwT#IEb2er-pO%S>YPO^Ui;?7Q1eDEZk)57FMcq
zy2S6dNi96!yvC_E=v=oTrxLO<PF=(zR;2Bd9Gbk2Ig&1i)ybD!XPmL#<PQ-bsW{v*
zHT5zdp1vduPf?U}6fcpuNI=T>E_~>Wu)5hg7(tgo)uLvA(b$TqdKw8cx1${&zx&PP
zWsCCF%c0|*w57}&OYpYoM9S%*ujlcm)q)9vdzltWqR}E+M!kT&7PS_Al{xqDfdDJZ
zbC$l{=vp^B*6C!9g4y>SuIAQ`QLM1PcHyA@=gOR&adX1|Vk_R0-jtC<7AqaY-o;4H
zu@8aIW~Xi_3)??E`dQBrMVIrsJ#4V5)rVex_o0#~Qb0<K$j={qn24YwyvYL&g!dVh
zB}Q9jLkm@5m6o`qOf&p{e*gLT-+7u$<RhZ%hy%8_L0zG1tSHe;6^v~GKb>XWmBT9^
z>02G6Brf|u3{wD!)(Kp1^<d@<Z<F&-1|IJ3T1EmH?})ldG~-9x7|NON`Pwr3VE#Xn
zE^Rverv}C$hR}6JQgxNDB%EZblVb9i?6Smj7G}d1N<Wp^1$$BsJ~tZ;c;@<4kj#4P
zpN#o(Bi<D!^rcIjxt5Z$i|%u8m-i(6OL%;*{oU9CdhXanZlUHeRy*}T9cc1!NNHHs
z<F)qY2Q(d2nLHgN7r7f*AP^{GWfT#YSYCm920G__dmo>&kBBqavpCh>dF#0jo~v&+
zqO5hnL`vgdKBt`%t|eI0FWej2ur8&L$|y?15OHB$tt$qn{J4;a<?^tWtdn=XopZ1|
z0D)h36MLNxG`d78!r1a{`J9hSz>Kt=nzsBWv96AkS^KT=ePnX}RAX6BzA9`s3oQW!
zzoSeaSMsjv1bh$+Cy4#pu1aFwanxGs>(;v<Auez)zn+&fujyJccAwroMB8L~-wmvo
zP3YXSNMRy$;j{R0w!<6~3k}YJgzdR~Z`Y<V+Ib{rLkHt**_>-fkJ`X*QUWqLkAIi!
z^`)H2Lpv%h$X%qj&Xk!;hef)4`_@B6t>Z`B>nr>hk&n?%SB*3PHFqjPULvkef&|9n
z_^&}++C&v9zu~`|C>ziU+cGm`8fu9|<YWa=^L5+O{lRE04Uv2t%3Svz|DAYaXkhK2
z79)Nvu=fbY{PkCJMU7To$aCc>HXgMkpM%#+sxsz3b6;03NESYM(k%}%_{}Da{tebI
znPq1b>waE@tf`@*W~quX+#~cJ#qKS{`ksOI0t%K!sto`{9yilEd$bUfSfiuW!TqQ0
zrpwTZ2f`caA@MFZO>rhq4I3|_%Sv-J+@e_%K6@2-bL9(p>9&8CPWUbeTKlS!z<Dvo
zJ~bi0>TuMYq*ob3nf-QEO0<=km=N|ySFo?8fh1V8?O@{Z0p|QzI9~$d7+UJ_X*-GA
zz1c27CA}_0cRAX=I%h`Bo*BKBGT+DuAej;(bO7XtjZuM%^a%IcoB=;tKbEpjrO~V9
z?PK3VT%HvFkiZu~VmC^_C(q3T99+8PS@%}tBK0A&%@CWCn1~Nfd0`H?*1rda(RxV!
z_q(l3A+5}UVceWC$;mW!caq<=gb$@tdP7J~k^YX1;G+-DAI9t!<I0~vn?6wmGJvD%
z6R5I==?_H>>6GP+8f*3GHEWl*pFoe7KkIvD(nF@d0rqtDk6p8C9%Rc{^~K{3ZnMmG
zggaGh1i}>sk7Y}XVnbmEDSj=f&n_<n<X5Zostl&nC7syni+D~*+f@L6a9<36w#l;<
z?Um)Kz%{i`leS;>p7F8&Ii0X5T5zgnW!X;Kd9jZYVA&Ay(w(=45q0m(-R)*s4fS7z
zUd%k<di+rZyc9Tk;jHZAQ|7X@#6Al+D+SMS*Sk{G-7owVZ(A}WMl}9*up!qXUzl2>
zZw0o+X%7w49OjFI1aa!9Q=wqhkj>Wzv9XC_a%GpL?avVyPSq~g!`;gwFTYc2uUEpL
zU%+%2bZ*3M{!bK;ROIR*035CJDP>Q=I-r%(1kB%|;r3viecfMMIqnnE$<JRoo{bm<
zMW5$&q%z?DqU14w2|R_yGVM==5uF=t&n5Q{uR45csTjWQTAgO@*uP+6GSH6ga1sZF
z>mNxd*|Y{JJ-(V}pu9_bBxCldiu3irM_4OUObLA#6~5hgY4(RX0=Z*gek3Dk5!F%}
zpZHaA`BU7+Pkmew#<X`vg_|_G*m0LF0K?1ksKMH#4|w!R67));2J${sQ>DZ|omPpv
z3soBf)U{uR0%u$M{Z-y5n>0zlAEw+k6G?O2Aw}C?)J&PbokhLY3dX0${Qmo=M1F2F
zff@KhnNjpugU2%Q<?Gu}MAuznYeZU$(!C-Wx9Fc#0E~M#Rc<@rz$MnfH@c$eWUqd^
zAspzH?#Rhhd%Pq4cCdpuw5oK={;*?mJYXPw=IyLfj$I>ZnsbOq7@DkWkgsc+G=S>)
z9&`u6D{?9Q-^rIjPrs-ho|mKAj*lb36;hnnJu9Mjb`t_t-{s4#{*41+BV#_$G$<WE
z_*7C+*u%EnIOH=be-gsYH@41*QJJ0QKi2WR;S|t3j_}!)Oyh^HM^zhd9LYM-Wc<#O
zBZ)5vnP7wwZ{d}NPPZ+_<xM;vDLc(?S2-~$uL4iy7~$z-{P1BA2bb4~uUEM@M)b^i
zw<1`aTNqRrRD^bbaN3CY8V8NAhu`K{kVlda0`6sPr_)*tFl9}ec4uy(U&9=AC&bJn
z8IGz(B1$B+PQsCiF_ZhNVnI<Q6D3?6T+A2Wou5i9R#3V{Pt}CZHXBaUgy>d`aW^<-
zKWR3N)hWJNav0%>>Dp;GSi&aW{hNDte>-T7;t@<%sH&Ui+k1D>LTIbSj<8zok@20L
z3uuX^N$x<5+QJN2<(Kl_=e&kc(r3xG*{rZTI@o(MQP&v0m7Cr1BWY?s0v3p=y*Rij
zrS;#|&C-)-2^-^^bw5hi*dcoUH-#Y2ZJ7T(#C1RTFa0H3dkGkQciBi2{#NEKU0y#_
zGu6ZG&>`oX?sha@?BJ<Lhj?$!=liKY*!n+xsZy(Z$`-Re&CWy^X}kH-*30t&X&4}+
zF|u1e%u}+hdy_rUeYoH(nqzjp?6d74JquTO!OwdyNT1jtADpg6cd<wRD{n+SS^+2>
zT-_@_J*jI^WmCVvioM&cEm=4*$=<3}J$qSq5!TZndq(IhMH}o)0(^DqYAN&5@H+h@
zy0%x#yzW9zaGiIse(%&Qly_Apx=q5GoUv5@sXbhru2_H2pU=82`S0EXAO8{B!|46l
zG5JdMq3Fv;TIU4AI8&9g$<OTZETT6J6ggrb2BbD!GyQQz_1cX?191UbJYTOy)k(LI
zft^0*q5aSX8koi8_sxBenrY)*lg{H|?mmEA7uNuN$#%-_7!4%Bw|Yzqefg4jHJs-f
zJDfQ#8y=+iAG&pzYg*9RLY}8l!0Z;-w93)%-<#zgh4NNo;)enWuhr($MjDgUwolG7
zC({*wpd&>t*GurV_d2_Ry;@@ijRs;w{Y{_hM;izZU-LX%S0W7{V(jv4G~{dw48meQ
ziE)f;(VX59Z8d>Mo#M_Tx@n0hu4(@3t}AO>0W(2|VfN&!dT#AZQ$5!$4{XP3c<1cK
z=dE8>zVs9^3t_fu{WKr1<$SQDu>IZ`iY5&RmB(QO1MRqjaWg8>xBBy0Adl9rSaw6y
z-zxptPfy(U2JmcrCTx6$l5BmK?OX&rXUAye5LRq)#fli%@lLVJsTav{N+@eg2wBrG
zS$pJ<H1b@(45bdfn`fXu$N_C=Gj`EAC4RbL8h@2!ZRH><AvLlpiw!g&A>W-1VJqr@
z7;NzR1$ITg&P&V1VkyhB6S=@1anjdApP<<2E9VvpU@tImx_#P1<MTYaQ?pzm;l!!>
z*^MoJ<!727SS8`&iY8^YJY*ft+K7dG-BoTCQE=!KCTD*gI!j1Th&q(TC&E@iOSxGm
z8&CEB4VjHAPe1TL8NBcBiA?#Y`NMeWo%)Dlg-KBKVg_rLlxuD35Qdf8>qTH~9Lh#w
z`k=k<uica^{BY*ntH`|ja}2UG;5^m;w@J_d*Fm%u4noZ10clcf`fjwc`Z&`?0-o4O
z@bBO%pP0nOrndlxOAO?GIgDEglaq(G$EJ~I(e^USV#U4pIb9<p8^%3TB|uNZ4+fNZ
zb&=7bb#CDz<Ydurx<21B%c=Z6f$pV9OG^W~c1fl$Bqfe=7#V^(+1wr>eu4f5W<Blu
z?eAdn_cvOaYxxU;!Kc3omk8&hBF-G%3?lX9C9o@Luyn!Q#tD9+kc3-4oQyU);>;d8
zJbf=kJh3rn9?nQxD@^Al<^|Z8NXGdRtY6h;Sd3iX(_QQXn-3J=)s!nD|Blpmzg{vW
zqHe^~A3i&o7OVIm@N3+17dDs#mNFq1tyzGb)j}J*My8#93<B)5l$F-f1Bs4SYvH>I
z7utR`7yH5p-`!pL^5!W@()13T?wF)bH6sKFcq{LTF=^-^C^wil+7p1god&g<D*Qq3
zAX^OnygQRm@E>C%;hiUTG@uy<CC%hMW^;Yi{fo!MAFh&eh&HQu2^D_N*~*FC`<%S?
z@^WWuL0wA@KO3FG1MRY52{hI0CJTq0-GcqFB$^5sGb!2`ICQD2a3lS6J(<kx<@FZ<
zt26dK2<Xf9Z*2{wlcJZ#KU&wFF|K43f_x}o^g7INaGAPA3a6bzAD9Jty+O>jAxd*n
zTx(CH<bA&G=Q3?Xne4im4?otdD;z#A-kUa*3<-2tn>*+<b$kEb>Fkglfx8t$6g;uf
zDlX{Rdz+TicurLe*94tDrc6%OSk(y1NJxE_caol6e(9(@{ig?tF@f1JY}}elFgffP
zN)&>>a=HS6ziL}b&?A;>J(1T!cO<t6czRuT7RXrZC$7=Z`;DDgLPR$&=Q$cV{TA+R
z5=gR-?->}eTiUX}g8f)vg{g&=*O<4sILmtutSr3V%$|ksM5nDB2`wByypjGg$(?WQ
zd-%0G`d9DKh=)A<!ov9d=l%5MqMlw!{@J@5kJs-AC!nZtfXj*qpcF&quV=R&-JsGm
zjDD{Y9<fros+3Fk8CM}Ve;;A{^1oZkH$rlKpBP=ccO%vCb;?II#?Z^X4ZBkKXf9m1
z^z?N1&R>^Hg5f`(ze7)SoOZ_M@kIunHZLCK^2>+GF;Epg`7fzyq%0)h7o#7u!jH{g
zWE4l{^_Vc((DzunCeSgYl^N1TuXiBB!grm?Z;$(3iv2E(5aY750rD~DY094?tx+uu
ziCvtjO_lCUatAootwg)}a3Ve2>&TeIcN{)v)r!)6bROODZ>v}2wZdHK{w{Yt<dmS6
z++L+Y_wy#Xe7CwEZ})|%6V&!O?7HfM0;0KoOe|ZRjSy?BhY{%^pZvUAM~?1Vy!uPb
zqk3M@`gtF(;)>H&T`hiz=%uOZOs$Al58nQ}xjX<9>ToMOt=E$8m3X`Lv7vhux|OoS
zRf~(cC2i{dvs+p#_CD6Z8yx)U#^3bDE*i_xln$s*wAiPp{U=O0%Mmymo3?KD+Ud4i
z;J0w~sMB&ar(3`&aYa~naL?cJtKFV#p%ym}{_IOqjs>oK0?i*pUW_HHM@XC7E<Rzh
zSdOT_%~1WZemQ?PA9%hcICq7na_aC!#@hjd^bSA$J>RC61CawdatTZ_2~;wxg^mtd
zDW^BrMiy9>YM36Nd7Y-kJq*az!hzyf1Zijg>a+ARa`k?~QEU3GH#9(sabu>$FLEk|
z0ITxxMa1-5YE!S+xw>i;A+0Gl7h~!GUW=apkz|lG&=aW51`8KU;{}j@n&Z2?fuV65
z{onr>SFfgo;FK>TaMqr^To%XD8+tWnz3hwwiK1JMrS+B0EROj5sv9?p9uw8x=+Ycq
zMQm(W&6aL>cKJ%Qv@|!OyL=nLs;6&!!3h2!Uvq#mehjqLO26=0h-=zei5!Ccu1*3u
zE@fR^jA$)q+?7@CMdBcKpPj?%*<zY)CH}=G0hp-FhF1_$8#LUnv@A5kXUx3&UY|-L
z!>x|=ykbjQ!7{IGXwGjI2b2~SF;*Htv-)T=w6S=-r5PpoD7}yId0w_0b5C00K6a$6
zG7`pM@gb;mM_2hm>BwLs-vC`7{szC3$g|yYo_YpL)!<ak<8%^IwU?f8H*M?v!9Y)v
z1|0q9*eKzdqgHMTxwZ7LR#a7DHxsAPvR%RFpw0?c4<&b@NFoh_ry-KTbCR>D?JYpd
z!3}V4oPRx3#Z!*Q>Z^Az?}Ev+7?9%z#+}=>^K^{~Fc1NkWJN}yrpJ5GU1gI&)zx|=
zI@WWj@ANaq<&juTNL3xSBNh}=rC12fc9sMkH?@aRc&RpGP+kK~a)cd5V3!{=l>_?N
zXye)BwDVDCu($OOMvs^IL|*dRS+zzSj_60)<?*i?E7=XG0q?T^TC>e1)0R4X&Z_@5
zkrw1k1@VZs3i{`*^tS8VCXCX}2e7qAKbCbxtf=|$zw2@<w}levAUQU|T^2DWkRbts
zZd<;tJ=m)*tgOq(GZyQQ-6#&-S4)V^`e3_}<Lu_S%8LtZ#T0q|f;?m1NMqI1xTJkf
zdOE4f>AE+hNNUHPqb2tA6?dauI+RG3R{K?kR#I0yaS#0KCRggFpY1qSYWSAK%xE|h
zKYopw=BY63>J=!{U<aD@SpMH0$EAy`=Jg~N1EgNaZ<Qfugx$-LIw!r7v(w7R5SJrQ
zyUZAy{;gWm8CWl<v5%~qt>mZ`6g@aqE>=>u64CqSl*9SoRBMQM>*bEX;Pl1ccxQs8
z?{8O^?L1w??pNIOePxpQT)y5Zbh@o~eyfQjn{089G#Cn(l_zxG+HUXK)DB}9(MYX$
zUtY^nE%!77dA`h_T~ljo1m1WHlVS|&nxB3d(1(npjqYX4w1L2?SJ?y6i>5)tDr0lX
z8ArVjEQaZ*fWsEn1)v@4zu!cVVX7lSis52bm^gr}9Pme)Q*I1hV_bM8!fp&+sVx^>
zSc+mU!Z1qoKH-X*nq9rM@Q{&YRd~3?jMs^2qKSp*mBV|6uyGlP9Wp^IcsJ;{HE-dv
z0ds-7yuttjD=#_QW0LSfHIGn)pHlWQ>Suu1X@%1*Y{IWaT29{l=PYjb|8sls<>q~x
zf(Q2#hDAO{Uvcbt#PsxCu?kj%bcfpL?bOZkA4o|yHXW1#CaP`HH70^ZN6-zTFw*z5
zDDI86d8BhVbqRIWh&trBBv{8fn~r83@|oK6JNU^zHx&Ng(9<WHSVM(AhH(03Z0^TZ
zTG8vOH5lezsoB|jdvOOD!SrEQiwKRhiu*S*rJu&tzjb@x@$F`^<&?YyTe8#@hv7F%
z(LCs%LrypR*qq`>t|{kE@KWFG7K%TDA6dVocWzf_uiml)ougT(^@e{!mjuacP&mHU
z&>R~WF=Dt4P<d9pKK-IN&QiZHU%%E=H0>^~*EY;a#Et<ZiiHWf`dLK%kThK5MD@Pe
z3U{1MFsv+)=*|*Nl&$;&t}M-ok1u<k*_!EcvqAA@l+o4Oo3^+dv5Sei97}U03=-KV
zaw<UKN)H<5|G4*5h^|+lVXL<5>rN&BssXaL6Ls$8ODib&bUpQt1e@nlDt2dVb9)RL
z`;AZf7p}MN0rf@cNFY8J0L0|0A4tiQwi_x2%I?J``mOL-y}e(_%3|q7yJYi;l^6qk
zH#Zx!{I9QrX|EeX^KY@ndq<ix7j!fQLW&HLc%eg>PeP41l~u%)ov{q)D!$_=WI6L^
zHbD4+5aOVVD)mLW)`%Q1Q5Lep`fJT-88UTEF(U0sTFGRY(6n9qU%S~F4o3ZZwQGqB
z@204oiOviMay;jI;UP@^6Df8Qv#0z@za@?!I};<|7zjf?-=!Dr>f&tMM->j;!{^Eb
zYt3KP<}V5*2S4)Ugn`>w34cIS)~~x%&oyaP#6+z>Y994~ruuSg8N!@08gace3k8nd
z!f$6K2N(^er3uG7(FOnh>eXa<l{Vlr=hH=$O<>|2163OztjfFO_qP7{?@-Ybd+cwy
zY%#DKmyyz+_hh@3G>wFoA(t-7v=%Ysz4yukwLWLX`%EGiL#s>8qx)|HT+hmjfdLe<
z7ULOrS0gmCnU<T_mJPO+?oH5;Yka2Pm!3+sc$=pIJDlun7$K_v*emS(J-EpuW<F7`
zHa#=J^&}#8r7TD{8HZ?D>8XCV+4tv}py&ZUk6wB2fzZa&6E6JBMcN`uymNzo-Hb3i
zK_0C%ya7anx}1Ct%0XDADbMXlH|nx3K%v#4y!D!Ok_+;hGiC(5HXuf~TZG-3>=lAM
zG$ujRR~(BI&JH1NBa7aIkupYfOjO0eH6V<7X&~;@<!<CY>F~*mU_}0~?-8HGlSvR)
zbYbf^u&2RY)^AjvFAt)J(64Rw8)a_-LhL=eOyDa52v-a81ebkON%&Pw%8FRph=ekA
zU}YC0?maQgs)DD!9e|E%sewfO!>-U<t~w?i)?DIJyT^tnjN*2Y!7`vGLG;>{pc2X<
zx1h6{qw0h8MiGWp@Q7~sebY$#5yR@q`aRcL)OKZGHy_1;7o9&f<WNwjkteskBE&sq
zmHE)db_gTTan3r!Fa0%Ot&MA0W^6}{XW-32I(Iu$*I$QWl#$M0lAe@_*X0Ni<f+lp
z0OSOeF-titZeWT5=K@6=A6cW~Q5>E%S%HOs{{l|4SR2d{4amm5Lhy0p7r^d`8Cq8D
zVrRz(IoC{F99sySTiRpT0;{^8t0lOuAN!!3ti`Y?sZbh>?hFgbX(3L6_*}Dp^8mCK
zCZ1wxR3L_I-1NQ%i`^HPv!e~heLt_vn&c(jpK~<v?$?a>t{!%l%FiMi?dp*Gt_Q!E
z{4m&wz%;^Qg5(MAGFiTH$fPn!xeFge7B6J2WVb%3*S3)XofoaQMC5SHt6Y!;_=NI&
zDVvdpH)zTC$t%b5Kv*TL2Z3MFgZbyu6l!IdHEZV=;wvP039|5rGgSOyx$IQ?lVgOv
zoXO~TsHNNuu`1>Z+)?+vvz(6<$o`DMx#Qkt)zsq0O-y)x#YEi=VU9V;iHNMf4YuY|
zD@rZ7j3?h+Lq%T1#KaMIIs65uuoaS|j|JWePRBG%$1}WL^TUx-6Lt05=Acru{saI%
z9w7Bp?pRH{?~}qa<)b3x+^N{q=8R&U1s}HU0*f)BHfTQ7^gTiV_Je#Vd<&7y&s-GB
z<!@gcQ=M!fFemLn7wQIHLOcOaeNP757tDl?8+Rw+QeR9D@qub@*o2hBZzYF5G<u_H
z9MbXf<(;sDd-}IE9oXH%j9xr0RsNS+>-~7xd&!tUVp52$r%sl7N&WHXS%#c5$M@u6
zCa15x<&xJN)Dy{nTrY^m@&>wiHR0=T{x2|~5wM$Al^rW{XV>|6N$|_l{}Y=ovSnZ}
zy=kPXYKtFvwxyzt{~0A|pBi+z5ofslMO?FOi0bMkyTnSz9^YWlHqy2%U5?E_EVE_N
zNmz}a<J(Nh%QPUiPg32jTqm)kLivlkOClH3fCe$f`RP5svZbwn5a0R}?Qd{?Gg84j
z1C`;Dnf+mxi%6)?*+Ax4i5bYBxADG;b+OxUv>f>@MzX<9$9mPWgP8m6R^>AWoJQmA
zCqjxTxrP+*CFxk^8DoG{VT%_P>FI9UPUMP*N<Fz85%5b+NY*~c%Hwl&&|+1UP#te+
zsDX?rtVNNBU601KF1~1AXCA_iFhQq>WiN6gcSq?P9xHgpc?zO3dD)x)ug>eFR)v7R
zY7%c%Vq$HBNE$Rvinh)JZ5E<}6Oy2S&$a1*X#0Q{)3W$sIO&y7zFVpErc)gfC+36U
zGXG+KNnS4hWVtm_>KC=Soz(mUl@Rksc`I6+t=0IYBa-2IbGIx_W%uG1AozNA(oGYS
zmjc62L%B7Gg5^)C7CY2K*6!R_xQ{n@tPvUrG*Lajub`buySn^*h&tgKhg2K%CjUyW
zoDx1)%sfKBNt#hPL-k9C2|;Xrf*D5o$VN+bTs<>S(|yh9(3o+*IyZ%KC_#~$cEqz7
zz``AC1f-oR`LE88gl!<m_<{~UuPcjgU?;Vzj?5Sun#vojQ&~y31&e~KKd293xU-&9
zE$}jKFn~QfrI%_9QxLfnKU&sGFzgR`uIelwuy@=QBnP;@;FZA@yZI-Us1{N}w5s^D
zfAG5%K~4a>M|4pK3Jt&hP`uL5Lj>#vY%G*4h@o1>F7R7*4UpQC;6r3ZFk5fjF{6_F
z3Bh&Wmkm+w?o62ABkT=<JX%~jT;}yHh!t9EJR5eARtE<7-+F&XZbfnUP{)mr)RNL-
zuH)S-stZG1v`r6b@!w+O&C%>p#Z#+qM;n}2DeZz)tZSc}B>>hcms=`1BMKIG9rKIN
z2@ve@|EvjP9`UARlH%#a+2OmjYOhd+cy&3}X8edk(s|-dI}nk!@A}CwZ2C>q)*-~p
zQW8WYGPuHqyZyQ)<-O7o<k`O;FElxocE700tA6l)&$iY<8DALh`9}K0c`*)X{3?!o
z)g)q16zwAJ#``bx);|uW5B~djH>qK5FgM2Z>AldsPh!Dp8~jGrQF6h@A+9hU#aA>f
z{Ew|yc}~*?7gwf!t}2;FvfAmdUPTSB<bHe($UXqCeYZ3=XoFNA=$-SNt~z$vuLgQm
zO!#$z%o)qk*bzlYyecszcoL-S;xft5Eme@tT3lUauco}z1N>SwoCkKEwuPkAL_;$u
z{4cgS*t=+s&;=rCud8#iVn<Q!iwbMExi|DDF?s%pG&uel&n0hC0j9rcFph`KQ7%oK
z6fN5~G=345T?D{Ss9#m#>yb6VaUn;vR7P(sGH9p<#K^-~;dwn9&wBbCXA;9kYu@fO
zHy-a{S4=Md8yuc~f!0-Zj=RZ#((!YlG@}2^hsGP#e7ftlKi+}bW|-Um;?i>5Xr*1N
zyh-JoTKO>ndLT%cl)x7z{Om5C?!EXLbHIqo6k={l?=1Uc;L`QOE6d;^lK^XX9+eYw
zT3c{HuhuYMrJb0eBduJ+8k?SzLkX^0TG0HrLFELAqxKfdampQhk{GjNz17jrh|=7t
zG;VwI84F;p6Dy!+v4PQ8NjvViF!mFJqq-*=gn51n^%-sIESnt@mT4cI&zwlw?Ghog
zXO%nZuF%oe#=B_SjvB~tQt4rj!eAKwpc**oMZuO_y^ZIz-yuX?4Dg3ri726<P^C>9
zSyCfi<}MtBp&IOB^e9XfI%T_zDTGNl3Gs9!qduTlw=?F=06UzZ;Q>%Z$!y2d;vcaJ
zbSF<jgigIC<;_)7Vxu=t%#gtxg{aXvp7E0sLakSv>Qc)Rq04Gyaho#UuoJolT;BK2
zr{LWy+z#N*!KlD5h=BD$Y%);0>6a@ds3p;EVHUV0C9{p#J)v8K&P`$&<3Mv4ah&^D
z<a|p|`&ne5?`1Lf1mf<tXP_WI=h^2YoEFb)mdEbhg<BE2zjlB8zMppR@@d%e&2NwH
zwH3C%ykiReB<HjHxtT5_Cx!QC?`L*;(x{M{uU@Wb^w$MDYM2GJ750|?zndxUcf1sa
z+jEi(i-6T7$O+@&R?}DIF+3O2R=3yJq7|-dPN)nNb$fvU($bBKac{a8RYV^y3;!q0
zdhr`|<t&;-O;G)|kb(lWWrFxDGk0dTTr~ggBbB^&`sM13=Yvr=n=dAgGpB853nwXO
zpgRApEtj*5GQ6F~WHZwiXfNTDrH475kx&aCzLddi1O0Zh$vxYo=NIXV#rS}VBEzMx
zK~77P&cWCfY_l@Cg`9Ms;Oj`3JJvT;d5O1#jL#gCnyPwgSVvtJY<j$QVz>Rh{aW1K
z610!5LmSk{)F1sq5OfOMg|;tL+D#C+!cU7*8!SdF{G<moBp(CSV_bsD_ZNi_y6)!a
z;215z-pR|bp9<zWxeiaXVEEX?ZY(KCs+Q-8Fc^x~7Q(BaC<vUiPQPQV_C?I62`voA
z0h#eXz)v&^@CDx-tDUfkFs}*t$2UnF#t4>_Ps$oO5ZLinhIQfB(-EPe`Sa<Y$qdtM
zp)NIlU!9%MF+y%}U=qT9Ter_sKRS3ymAzwfQ3;-itFMZ2`W9&SJndE8Y!0jDle?+x
zx}b?6_F!D^^w$Pp$FnPi^nrq39)f{Y?>7uRe$w-pU!i@2E5UG}AZ&JcM8nqxCthXI
z3Ti?IDdIg(P(|=HCe!)|`HgXwqb`Wj6%h|R7q_y9|FMk!;qx<$b4dkUNV$3%mwiQj
z;-Y=0W-_va+_y6Wty!ubnub{=GI~efYH2UoE7(T)gvWGbid9~kQNpC>xz2A}iknRU
z(pc>p-}q>N@k8_c1~WXBFXHaQB3ghp`wmh5N8khTv{4~*b)JJBQ{Akh3V!%~sfi)x
z@C`kd-ZJ-|>w1_fPDZRP11X$<uZ>aeb_SL0@8fSR_AH*~1U3aD4*K^`f<G;y98=aa
zUc}$&zkGDI6FcjGOA>!cfTF-U*D5QZHx$5nQb0I^44#l*KfcgMQ*gtM3t8~yP{Pc_
zPQ(ZK`lF5Q6XYuJ!di%HeE+42pStg;+J(qd%~Z5>eUIm1AD}h$Jh3pr8yc|DD(_Ql
z*ZIxwxdivF3~&|RmrNq@ZwfHY{uS)zWpr|2CiL=W-8mZ``TB8Ottyn^J3#u)oP1zU
ztU}|E)prB6f>Rvd?i*%!<tgc>2xj<=q>!8%;yjgne+u7)ZIG+A#2y8ECAth#g~dRb
zMEqN^uZ5NRKyRznA{1AzTfW<me%%0e?tvc1ybg+Pt{b-J8~&+!@wnM!NkLcaoz_7*
zeP~{LOKNbJ_AcAm4oBt;Kk^@xF#T|8=7mSk)N0Dk>uG9QEAM}-%bT_s6IPbBLALJA
zDt?RM%Sj{v(Q7m(UwojEsrGB23mz2+Pm29^m8~kWJR-6_k6oPfi2S{&?N(f$Lcs8A
z$e8g-JXlTMKXVI```9n?4WULzYeFKO^=)(kcfc_u=<>79on>y=rn;7V!^aQe6rd4N
zvtG2N8rac-YsQ%LD*6khkREdv;ig%<TIn`Q^B9Ln_Klq~cID-7do7BB;VZNay)K+n
zZ2)YytO?{*qYqu`8LdF1t%sxdhL+&Q*hDQNiPQw&ti^`aA@;K2MVqcI(tc;LL6*ur
zfuBn{e0Fz(Mcw<07V^qehwJ>2bI7WtPPx=*%i7T%Zg`7C^BK(dh-u0Pg*>&RKzuG3
zZQm{(JF^;D7jZRE?k>2~z;l(ct>lmWBukv<Ty|EQXT=>eK3X?Hh~1Cdi}7L&FG}B<
zy^eShsd`Xso0lNweXL#f&tNOU5*pg)*2o}S|9~K;@+$Vn?nm4VwH$)XRyCW`MLf?!
zo<6O8DhyVq`8V|!oDYiu_VL0WTRvzZsTHYn{bJKnCjIwj=2dO~JTqZD_lyB9QZ6u+
zKL?@EN%$oLQ^ZClEpX8bclswyv3id;a)M^m8(#0YI2Qq6kL%OM;~X&|Q4LN~_1551
zjUbu@+bj8gKj`O-k!&XpA7~qSZ&(w0!+&u58>TEhOcc0`*xFm~tq7VKMfY{5Chi=(
zM_Zi_o0K??bF&_*OW<P=0vUem)=RxV$TRtmN#R$4b&lAEmif&%zSeb~_epqE_p#Jy
z^T|oz!f`OH`V3LGu(Uv!Dj<C}E`!CI!H*;8&r-&?CjeUeLZ|(hpy}m~SjIV52w}d+
z)rSJ>u)F{sA-fp}G`h`CsBcd3()dsgj-?wY9%hK>-QYW}9dAXFEZg^9NZy1AQ(qM#
zzI#4_GvjWz)U0_OK)99p^W$?`^?XL1c7=Pdl<Rf0EhO?R{uzEP%QCw9y`lRTX6Sym
zDX^%ByQ5${^?s(BNJkMPK3TmG$?mgP#GStU(#zyQ9)rar)&NHf=v2St&1=_nWLf{R
zF{yS#VeD+T>1iYUe{VKaDbXbXs|yt~5RMGpxmgHD2Q$@oDVf;$(UyXp_{IhTmK^7@
zqfRLhDwDsvBl=zN`d!tFPf@bXW8f)@$8JLq>lm<+TwRF3mlnePtg2io&`amyOmlD#
zWsVk#_;2z3RNbjEu(+|P>oeu-f&Gri!YurZaGrVLyMSaRTh?Kh$*Ng-{E{zh_FHK@
zKB6+?^6;HkoK?NYU1@u4efjeYf)=J|>VH27RiCO|%StT2=~l8{R(p*x;>=ES`6o!~
zf&T|O{X3S}6sPe_ymS29sR`*=pd}x8-K*Nr!WW@`S(e$bfs~x*JM;RD@vij?W6p9s
zUQ)s5a&PwQ=cwnV#J1ODR^mh-Z+-7jIX2Ai4vSJGl{&~5j(f}KbdD&~YO;OU?~~KA
zs;$_rgR|$k$qDs5yWPaCQ!{14{podE^y!u{x7Rmzl~z}%3_2pv>1UXz1%40dSkC&g
z@_6H^m9^DTq2xrzS-SdyRvvIcNS>vP{5AANo^G>Fc<bojiOCtm>U2gksBTg^Aix02
zq`e`Qs)2CyD=TkwF#bcYbUoRt_k1AltA9uL^fv9+fi^Xt<>y+xE;Ea(S|e6)v9)3V
zTm<thD(IjvwiY0RgCzO=peYq5Jq*5fFnB?g+@6EoGEm!3eM8F|JX;KgX-1L9L+iQu
zN#Sj_x-t2nO1oHeeFBY^`B#bAvlmtZ1_xi7AB+vnZUxrdAMNyLBDbAj!=X!C<g>go
zUjlFm<mDNk9xUo|kz#0AfY@)lI4uWucg*m@9RF}v+Bg$*DE}fUCod6pe2t#RQ`MZn
z?O^kzoF$6`v;@!i1qh6#SR91}^_aKl){7m8TlDGf^jJuwl?9ZpFd=KhoDwt|dA2yr
zOd>>A0nIgY@e7j$By6OyXr_)n-t6K?l0ik@Wrqq=<meO|1S|dY=3*xUYcj$J?zq7o
z+RWCI;^26Ziu}VyrJA(sVF3CnH$j+=E8GOui-Ys&l?z-3<Mc#MH+q&e<E+gZ%CeL&
zYdv^F85Xha>ip6?%LL|FpP$<2X7>*v33v04USGPiB@ws;u@QMyIR;W+7!~&XvoyGE
zsNR*lol$o}v?G^xuz-5bjkFRvVV9?Tx%j|WEs{J4lH5|Nm{wLh#IknK1qtr6^W|Q$
z(?W1>t!e)-;Xd9u;LgIx0+*t-WRX>hJ1suDZJ!vWYW;^}MyW2gjX|^jeXW+V4%*N;
zv4J>6dQ_(aUL3DvOO6{`m^+PhPnYPM05&v!^)F6&LuIrz*%~)C8usn(N)Vqk6jR#!
zFGvh=wFkHS=+!ScmvWInf%x8=GwOALQDSadp%u#o`|Tmv)SbW8Xa`4qqI&WmQ}8i5
zyFquQ!*5{W7;fHDxDgMWIos)>)HLp;QRbSfjwf8u4Zy496(uK8$x=eX1jtRL(twUo
zHe@zeW-~<yem$@7==WvXoZ@Rhff6zb$gcabDk>XWK8iib(%r;00(s)OGKuX+i+kG$
z2wR$Z+PG4~td4*WS{;#C8gB=U@K!!Mu`yS<FaJvT9B$$(YL1Vm{8)0TIU@<A>>4(r
znHd-IcJPUS$Lvp#9kMiLuTtjkQ?`Up1**g>1z5Kmdl=G;MWpQ_ExsCTCH-K;|A`Q+
z;5PGaCVjre`P)Fr2!6TO<e0KJehqKXjEymCa2cp<4r{>;p!{~@c1YfOfY<mPWsA=1
zIwMBjf>|TtD}7MEVL{EQmKK&uzIvGYpsx|2v_4J__6~g97g1gzch#Tmi}>*@a@bk?
zHf%Pqbi}u;)%K`2?#Csvq5^1-XfynHl_vqv6#nrC5UDio{%U@i2T;i9m(#=MJQ622
zi<XVP4Ti$_jQt)@n&1r&Lj|vcR;m-;Z6|bI$6gX~!LI$2R&J#0opbxUI(KyMp<egu
zy3&BReQ5ymLZR~5F`<-j%VfYJCat*!y6kv?m?LDNrMA+GdJL9!-XDqxyAt+5(+xWp
zzK@fhO4??ZyRChWe|bUKTX00>oA?6`0#$erj3JU6*1J%J&k0XoIoygg(z?O_*6-t;
z_<y=U^_Kryu9b;Ay7%lE+m~fM!?Qm$%(5j$6T^>heZ2F`>ELRQWsB+&p}4-8;F;=Q
zt2%f7KD~$U$`vJA?dNK*QoKL}n-cF5$BQ!bTf*X5Zq8zPAd|)lv(BSCMi%f#DW4yP
z9llrR6`K`)B=o*Y!@OIgaI;db^;nhXy1VNicuWe~`oC;rCoi0BllM||;-(_n*d4*=
zoCWQ%&h);;jq+3-OFJtVJa^J#0{VA!ZMDDPtSp~4QD|^}$Kz{$u|wMZb33jtntmq!
z=6L{h6;v?~cWw1VB!hPDG;c}nyr)1G%ci|-iB8<Ci{lTOx5`!gqcwVTNQ)la^#qw&
z@w7zNSX^Wk@5xLV^sq_9UO62lLTym0ji*`Yov{>=J;m1zLced4y_V9NFp6jYwLiSV
zA2MQAn=2k>TuXdPWhr&?D|KKd^CbK7<0#|UK8PpXYpGz+`L~%0ze8?ExVrS-)MlE!
zSD*i&)~q60d&FLRi%F?a7vYQ=6Fka%-;n&k?`UV|YXv>A%_Qr}pPc5)^6$CrslAco
z?zG?vg~%qcVga@^LIWc3MEk^UAc!vl-JMT08y_D86XL<&VmRW8MhA8OQ&nR5a!>Q(
zoQb-RnW8Y&5r@RJ`JG=93xt2JR$H4PMf9Dhppz<2u<OA6Y9ma|AZ^Ab%glxipZY_7
z8_78D)m+evQ)SO@Yd6M*CsCd!IiQPf3DEDD24XwjedsRPLk<9sK{MR~UwUQbr=E<_
zED=9O{Y(>$hELu*=g&=ej=RZ?epI+AEd@ozXo)*92g$`aHI31raHTP(%Zq74MJZhE
zQKBnKtcQ2&YD{RVU~eUk7;bpBj9F-v0xehbuc(&)XO5EfS9jo$@8WW@GkZF0?rsSa
z;yY{wEu^3Q+~4u8tv{P5j_;RQu}Q&Q)+B#<I_osfa2%1>r>mPGPB)fR@!!t4e${UM
z3nkm%3F__-_L3L(K7z_Odk+$;r9Ppe^_&nEi<21xoi`;~Fx1U9oadQg^pqQ(4QUFR
zg0q;S=4U)k!<wdc`dF41m(}$zFmrERu$vIo>-9FPsqQoRC%fT@o~j+$g#($nSKWP8
z^#-M5_8WZOxoKyao0~h(#%+~|I7NZjwp*G{WDRN=&xWThEG{6KTyxu-we_0){rbp6
zS2>nIh{5^TKp<(pmz|sZLSMbEQ;&47B}wV1`Uy%f*9T^}-FK_ZmJP9WGfpvssab}R
z^ji$!%r|nr8W`=mLJ5<A*(fS0&At$knIGm21IYjZ&u{bzRJJ*)$c$M5V1g{TzE$|{
zv*sW4O9Kqij&R#WxnKA`uF`7ciOF0VYJ50QvUO%2Nt!5gIcSThP}!8&`W9GWJ?QJe
z?JH+c-8(v!eCp%ay!?j;+vh%fyTxfLJVVa!yGWzFFVySQPvKkhUyayv2D6UqOP;)d
z<F%{O1WaGoh&s&;sMw|L7Cv$^;Voxll_rv&CPMx`APYrxHcP;_bUCdq%Sxn{{tua|
zQ!WP(^8*HR=DA<!B#<&eP(l|p1sX9JjpznjH7QI&ltDO=zcH*P{ovTaHQZpCF1pT6
zBGxr|UT*ToEvdXdT{NX#1vCjpH4zitk%#o#A|rctrxt&o$gP!zH$%aGK6rrRQc=dF
z;{fI_;#KZGK4Nj01{mU+Cv-b)u>S6XZKCjMvYxt>W~fUAW%|x#Ibc<>B}&U--HER0
zAoToRuqI;o*JXVhN?H#tJw&PxJjs-l)}PG>$`~O$N%`>X2z%_*rsXm0<*IZs@rAPu
zX3@+nPW~u<=QwpIa4$A|U+#tqf=43Xrboyus!MR{!e^mlx^1!f(Yo?<p=^S|G6y3Z
z{ay=1<Uw_^C`qwasO`Sg!rF;$<Q9UI?BYsS(-KZMPd8SGRG{g9@DVj*3->p5v65RU
zM{*52&>hKRJ<h3>kz+^0pfkD1GEBS2zGX@>Bj}{}umEtjeAv=+d5Um>uiE{me$CvS
z@QQO?sO5a(Fa<r<9!%(mMi|9@_8W6;Vg_v1sk$v4o}rB&?sHN84(;D<QDAv&5;2cg
z-HOxOI15Lg_Xc*Oq*d_C9=Jb;n(j{Gr?b(WgY8%h#vw2Bo^k{<S~D;<wPPZ=ilv-c
z$G-F)Ehm&E_<Kge*#(n!rJUTeQ6LoMD=fVEc;q<Hl`aw|a0`+dI{;DlBQZ5JIs^{Y
z5B90~-A=0+8`nA;)^GHulR?WEgAlkVSEAeP%%szJDjK`H-G;gKBZ&GVFK(;Ja|1oA
zrG80+_4a(_l&H8S-})nUgoQW|PqepU?LNn~yq6?L_ltCey6+X~qwC%#2cJ(6wL`(t
zWrE}mR7whha_r}|F7`)>QjA?y?g1SIx}D#cBdV^Z^!%#e1?%nntJ>Mo?1+D4^;d?R
zw+%rfnpN?o@hjl{hTbQno$Ft(Tz71E!74^A`X4o&RFXp_lT=<E!{G}XEf&{oM~UA5
z1Ti5#+7D~DM$hR~2?^{c@2d<x@!|62@9~qu;^?~tgKAJ4tJ?ri$sSqf31U<>3T_dx
zF)N2Rtc$WIxo}EA24qfIeQd_)^l#5?st-)~=?rCL6a}kv^q4uTw{S@}Czj4g%^bxg
zJfr0}jBJ^k1Te5PCR~*o^T}=j&TZT|ADvVMIhC#%q-64e_b|U=bo;8iVw6(f&ZkOn
zFu;V`ERTwVTyzQW?SCqRGq(L~<<nt}o006q**DR-Lw;+Se5S?k9XHdeeguELyz(<;
zgv2<?)YM6e`gb<+zq<AZTP%Q{!_=(E1=l#TilNKl(<4`#Dk0>ybDUVNck=H)Ouq1k
z#?h^fr>)>dA}@MG-F<p~Sk^bnSHj$4EUwpsHMlXG28zxQ+SPx&@h$9nHurh1x}-b|
z_s$6jj*{;dS5<sJaP%imZb90rnzER&Z-G3RzUZfLfOeh+%0JGWuHhJl)K8X|uDfOf
zD0SAw|AK*XDF^`K{J2lp-Q}FpuwLS8X#w;?S@!3l0aFW#hi$Cgzudbm;^za-Rvm%~
z`8e}bG$9($xIZd#YRNGsT_47pVVe?m*T2=mMKk44ThO$Bg~%5M%8APs_UgW->>fSP
zn^ac&?Wf7=v<2P<P!T@^RLyJg>#uV<$OuE$z6XI(_>mlR<5!a9yI<_hlasRPM^$N>
z8&aT*vK2Pusc8o1p^D#Q4;pf|gpT&v{H9YedgGhVk$<*H>0nodV`e?&ed&k|V)Y7{
z_#ohEPiIYkiiCugmKNtyes<6ovGXjSAfeG;Kc4~61=e-ls-8FZy*@AIpo`0b4#GqN
z=KjrtU*O+M!NwqtEQpr^8Q*0A*bzB|na}%ut{F~R@GN?&rcy6Cd)?n}Tn?R^Ha#Ra
z{A!b(y_I9h;|`=SV=Kqos0{#qYQM|5hrS)uHzSWu*l8b)dIWshycy}d=EA4pBt-*5
zD+YXY^?2Dy<2m{!dv~$Uwo}6E*kBIrH~%`~#wllq#R#a>PJAeyYLQC^A1h80EcvUO
zG6@QEn`b*KZS=Fj5S!z~0r0aHHqd)~@_JZGchsMW^vwyC=$dT|p=c>Og}a4ZgtMt>
z;g-;jVB~BN3!#@a$2LQnWVk>~xXH#I$}xM3)-F^`AFS!b2D0IO13Xy{Oz8n|Nr*^T
zEu^;Sd=?+OD=|~-3o}lMeVd4rC6`gp#fT<wj;I|z;Pi=qhDA<@Zo~^IuVf&2GUB}+
z2e{7PpPE&&Z$8Qtn`Jv0Gn4zeRaDXS0=ictJv1x0kk@xIDhSyqwpy^5FHl`77vCNp
z_Z8pTY$~O7U6J;>3`9O1FhG74kGB5cvIWgNRYG$Jc}~AU_#7#!4D4<0)bF`Zky1sL
z+NXNq#S7~|EAdMkvW~KIiR3zN<G)~Hb*C^Sx1)B;0+y`$$Fknrp=|vslf*QPEs>#-
z0Zxv=4!oN?pQ`4osz>b96mJH|)Q)7&WfG1re>Vv){lNd#T^A!PRl!JnEmh}z5#kaO
zB)i_<e^+(N#!<mXFuoi^TnB)1e7H|RGp3YXY*OmacMDofdAJaw<TG5~xAkn@exW4-
zcHIC(4(tcO4{#OQD&(z5y;Zg4fI3Oz7IFaQg6MS^wqA-8UT>7s-$^%KS*8Yq7<pfk
z?7r0%UAwsKF{sh==szX7`+XIWtPIJC<_hP3&?U_<yZXIC@@Z@q-;}{&a#uJB{WW0v
zCIk5@HO<h=3#xl+S-iRmxQk2jAD;Ln`?=?wpAdVmy9~<KRGNEA(jL)@GZ1mQHf?e6
zYv=O33FX$>5b5|oZ!aI~&q=w|xwc!P9T@>cqQ{mh#mi~H#b6OE8^?Qgb@Xs_>D<Ae
z+@eyWLRca@`ERAQytP6?M6G(}HfYsTF6X9<$&J86i4<J`G0z=zFAAr5HqfO22|cZ?
zh;O!NS`;>)pUJ_8#|@qJyyKEj8+N2M&#+6dY!E*k*5_>K17hAMFk~oP6NxBkz8-re
z_qT3>I_QUaBR+AV@)qagYv1*l!HGZAyYI{+PX}FHc3ET0D4z@+pv5XJGe_EZ{Xd%`
z0|w6?`B#-MCyHX6o*hbN!!MgLW~c)_=VV)|1~gjh-aqtz0u08m!}=x#R|9NP>pLYr
zM6d?+f4pJlD&myQz!rMG)fXV1+k)Nq-`IV-MBKcTZ5(levVT6mfc@t&KW2$I*Sq$S
z$BG|>_c0maaYoMns^T}|`sQbTUl>zHOLBV%no8J;&Z^DsxK4)sOl=cC*sa$P=7|$=
z_{oN{$lOA00txl>V)zaSOw#Oq|Nbv=Fa5yqD1XI=DDS1=TEBSH(W}m?5&0U&7MM6C
zC0Cp0z$bQ_2R1vf7<v;_jrRua@(z!^m0$g49)BBV$aD}gG&P%3A)Y2uU(7UHUxK`6
zO*T@db%?B2MAMLAk4~3IRMz<!PJS+wyj)Zvugn)LdM_RJxB?m!<m{77@;qXU#pEvK
zr{rL=FG>u20cx=zFT_!7Fb79ykp{GJu!BW|v;XQ!U~(}0^y9k0q9S=_o!D6cj#G%m
z*4!<%c$cZHwba-haq}Elaj$-a9&jzk(JdL$YROe)y?O)-3{f4s1yyRdpUxQM4(JB<
zjtWXDIXJ{2^<H{=eQV}WMuS&8&cHrjB-{s{eZN!(86jC1o!0)(sS5%$mQptj4}7Gr
zOEl^@bc8#%vI4CRh~EWOH-%2C3$*B1d)7E~NZ23n^v!PkE%$m!&Uc>Y@qv}~u+zh#
zR4)$Fdn&2`>#8mb%x#KY$8(iCW1WstYbFy#W8sKAt=aNml@A@Ps~`ct18{Z*qeV@=
z2xg2Ig+tGBjQ~p>;=)rb{Bj+=hG-=MT1u9?rZ@i3w=_;(qD5P7VuEO)Ab-^sXY>GS
zK$!E!IhnPE*fpqYb@UtzUu9j4raBu}MAYWI1NyOs`gBR)Kgs$BT)oanquL*}Sseva
zh3;4x9SN<n2A#4-z#@UUgHzwclqG3A)d6B2Xz0e@98~Q+uG)!_kC#`K4P;C#^uW5u
zPQMNV^H8nE*-_~%mT@B-I)=HnCQDwr0CqA6ApFWYPQE!97LXD%60`Sr@O+k^+~pap
z9HhUBN~RnHBi@pGP~<V9I3|fzxW)f8Z5_^dp12-&84pYb!KR3Mi;atwrwgm~l)fnw
zFZ{_|cRxA`Er3=)g#pclaPRGS-;B^ZO4lnk!2_eL;`z?LFAYonuf6Y%YAWseRY4Ic
zks?J(P(W0gfP|KWCQSrJ83m*l1&2U{M5KfuARQ8cLBIf^I4}-M7wJX1Ktg1cCM^j`
zP&xsU7~tc(cir`UcingHUHAX@{CC#c=j><gwf8>zJkM|ccH^pYVpL0cja8V#95Y3D
z(0~yi=4Ux??`sq==(3XQT)E-TuD~J1JIN~_I(FWTI!{-pfiUh%O@`57n-O<9v%km3
zLe3zvk7gSsutpp{2XZu^Y3hts@=3f(Mny(kV$<b^pJax_HKBJ$_&7BZQ$>F~*KE$%
zzp~X>^#Nmriypw1+5sjT=&-3dvG&`H+;4_jNw?UbJ;skTT4Z4so6`5bDIg=TD0G&a
z{UlJk<+u4;!3%HwgmJhpK&DyD-6!PL5TwHjDqg73YEnii%z9Sij2ETz*Lehe2WMB2
z-vewrtX(3A@B*V52TPrY3>DnGUdL0Ic;}%U+`Wi3J3Krvx5s!W#<|{LKa+@f{kou<
z*ZxFcSqjg&8g<$hzc}ufHDyGc5>FO0RAFv~Kktl1Vf+WJ21lv<g9`QZTb`%<z<BUc
zA4Ke%YxnvwG!Q*%I>h5gSV3lUNX^DMKczMh!=Q#&2c;|$0TE<>dn}FTyiaMJ8iXj4
z1h5%h&@7z5UT09m=76!A2bxC5+0CW_j61$<cEmJ(+nmFy9sP_fjR*KEMf)Id7SL!b
zd!(D!?<Uq`%JN8u4W;U`vNAgbZ<!O%k15p-(SWTR-%7@ux~<Os&b^5dd;YbqXx+U`
zSvvP|z0kh$pK(tE7Hqn-2^pubV#lY=;}>`l$7L<A<?_~LvH<$7;6f|@@~qoK7+woe
z6WU{%;#7%}_}53qSh>z*C+HEQlhqb>WPDCGTVVs9rO=UsHJ=H26(`ItB}$g^=oy;q
z{`g3@j$|&DjaqH#U@L?R7t;IPfUhDh-KOR$TO(PosiRFS9gH56Gunr!wE}CO`j)-0
zjgxrfr!Bc{mE?Z4zC#A9&L}JFjV{9N_M19&GDo>zncwigZsb4LVbY)hQTFp{O3O_K
z_uZVuvok?RAtH#Vl;x9P(R@R0jU<h}D)9Sc=jM=>vOoyyJ1$}Dd<^B?=8){)OXuAu
z`dy5Pd4%pve2-#5pMHxOsCy_6sRDNW_6T>NGdl5Odalwz3=7~EHKSI7_R>#o1P!-Z
z(hoWHn?pZ09ah%l_ts-JFiR;<zqN7~6@4j`H5mnzph{+rMWX&GNBlF9fyo=8I$F=s
z5tfJK4}<-ev>}v%!BciyVV6;<&VwFbvQ-T~h15AFNw`a@2FZShA7?C`iz(MX8l$|c
zw$xNhH1l_w$!74Wbll?BBtI_^60Us}q*{X^te^kUK#YF`9Ubzl(FG9>Hx<bzq_aJz
z@h=Y=!(fwbEU_aJ_O`(SHO8{=d=DKAA^+7BFzR)%70!tR)E3N*CBZ@;f}OWkLC*Ch
zf%0TY4rd&&T0knIyx=?;(xKd6PmWK~VZ5f^kK&tVl3d>QRcD0}Ht6eK8s%kap3z{+
z1Pz*LL3RosPxMT8aKgUaoH*&evuF-6+}>{?Hb$+=Z4M9Y=*iD_hmCe$O4^Z*Mlb|C
z4+bjEdS9G#p?AfvFiu9y_=(|`<4f0Nlf2ZO;`G`}5lGEY8z8FdsBGD81I4?^sRSYH
zXHlT4QENjOmxwwd$1&gq`WxovmAA`kZtht6X<=jJC(P><PfaDazmzO^xyJJp1GmP+
z$gkl)yUXJ~8t?CT!dsvy;!G|8$|WuJz<<(*Tjli))tepP`!@1?&6pbl9HbN6<Taa7
z3bAdya<!w~AO=v*he$Qu%aT#nSl0XL7TIT&DH4qgK)lK;vjfRa#p}jH#3>awDiEEk
zuoc%g3rTWABE9~I*E3(e$U2?nUEvraT??T9$*A{CBP~HN>Y{B#sw8i}?!A?D{gsDB
zgLj2{@p;+KN=Y`tRq8ReM5_Ey#^5!yq>vRio9i0WNT?>6PxcYl$#w<T9HN&CbgSO~
z%J^KeeV?*MUfhX9cjT}A&`rZh?WMNkM;SqCF<c(X=yDJI{sH%J9~r?>F$Nxbt#vHL
zucQ4UP~cX|?s)r@VNno&*L!Mg`~#$T&hevkk#iI<O?&*}v5+8rKFpZU7o2iz_Hi4O
zbn?eBDS6I!Wf4KEJC~F3jn=2LVOml)iv`!TLSxP2kP<BwaxuVFubysRAjYgXQ(<ZR
zZhww`$S)FJvWt%j7NIPN(<>)I$}J_$bRn`WHser!zuc;y{d7Pj4ez1x4U)y&)De@M
z=S)t9cVvGoOrcethkxarkT^y4Hod5C$dKP}JWC!?zKF!H)dF`UJYdO!Q^Hdb<E!IW
zV2Rwp*?i&2g`IQRyeiR?Si=FEgad0B14|ufg7K^$F?a{9f@jLjE2QcA(BQ_yS7D59
zn>z{-+1K)L<{RS4@5S=ilG`))%mQ6!InuCn|Knb!np$-)Vk`V5^r`B}QNyjH6AKwa
zwgC+O_6rUjqU$&Po^?nfP^#=VL>zk%K1$(0x5wp;`$6((IVQ&A&-fDF;o-~ByIC2U
z=!1vZXX`$3zk&&StUgs&FHKQ<nai-`S?g(1=?4~GueDDy%`D}@5sT6m!vh$(kPi)<
zDh^V#)RJf&dD!V6eijdVT(jDiY{C~*CmL_xns08rV{_~N50zKKEnXszstD92Wpy?0
zKcES+?|WJetf7l}yoLf7TBM;FCB?qM$PD|>kM<X&XRVDWWV!ywX(Oc{>NQCNZlmL-
zMQe0z;yHKF@Oq{g@G5_W*mQRnmvtSrINqj%J#wh%=+dV}GG{4GdspVM?W=1`q)o(G
zU^HuON%P<!VX3556N9gA3T#FlvgjAf&|Sv7jlN+6U+mmzYc<MI_^w*1Qdf`NZ856t
z1p7kBrxFiYA3m-Wqy+xG?RtIFox$h!#hQBJ1L=wb<0>uYF~1k+=~WsdQ%9DJ{4hz3
z1hkJcIq&C`#=X}bPolmxRsV(}05<ql8n0q%GpJn>FE#~Waget`Dk}v~gkibW8*w=(
zH3r)zRCIt!VJmG<J3Sn!FPgf7w;$+rfPU)_1X=Y;O>nXLH|LP))o}^U<I+%@+eG}h
zMaUPhSHNgDHo!KCSa-W7(0)T%(&|$>8<m0WjQ}r@E*y-xAZ+F^p4(rAgAj;}#DXIG
z9ur`PL)7*?<DcN`UO(Q-_j4BGxr46U&v-&a?4V?&IUmFzQL8sSKa6ICf1j&4nAGsp
z*!OI^C0^}q_ehd(_;Io|$sww3k)+o!_@YB~D3|$1?lnV0!$=D_^GVGG+%wRbaZLl>
zgFESxbA7KFFF9T!t=npdFJIl37pt28Dw|;W*+$eptLka0DF*Zx1E?8%ec<36?R!!a
z^`UOC{O|H|xGv}wZjs(0VXMrO+jr?6J0jT%C}sR4^bsn`&u))%yK2_%dNrgiR96W-
ztJtFIUvpUOoRkSc^=Wrt97G0KQU+(|yPhU{BgZdolEzdyeZf9Fex)8<?NbrTdZ`_5
z10yeGI3ExCI@_emCeA>LT~R3JrX|zs>yWyd+g?Dhk*DVb<2jC*=COU3dmhzGpVI8j
z&96l3X?NxqPKrd7t@dT33IXhH0J>&Mf7knRpjus9rWt^WhxYcVq~y@(%?5cuNKHAt
znk6qYUbNXm%j@Bo2CEO0W+St??13r0Ad1cr8Q!nJ$ybitF`GcQ>xz{@O!$(2=MJvd
zJjt?oZmQ7I3oS}6gv;Yk$aFgF9Su^~1|<$SA=c&b-_M`<P!gW7@yNPxGV!+Sv1@0A
zZ;esBq+>stw24rjOQ#;5`ouq@-xz!Gv1@_$L;lnEC0eG7)tzrjMQdXh%apx^qJ6Jj
z#{}SfH*dL~8a}Ikm0y%jJeD!=h^3h=cy3*%kP_g((%kNkxSgv=bTHT1p0YIBA03d@
zKgTb}9UZu6AbhH7{_tQ=k0l)wmb|D+-*`HVhnvN~TMyNT|1cVWv)U=`iWHf{Z$Ai|
zIqaG0Qz^LORv{hEt7<^Vf~Z)_5e!&q8Ce)~+C##44kn<KJ8<e-1$5_4#tN^nXJ6*C
zKYe9V7m_*@ED}9NCY4?T5H)uzsBO*7oTMTbr8o5{eG-L`+!tl5ju4hpgRM!39Hjl`
zTFdyO@9#riQ_<*`Ed@_A@}VUq?bK=Rf_I1?I!iq5V$)47SYT9Fh)BGn#6lI+vP8A%
zfodB{#ov{)MNK<GT)V4#bBxW>)_p&KoRp3+`3|{P*kc0GN@@~MK{iUlH)-#W`20t5
z0hzxn43)2wNF>!G7!LdoWk(wIgNOR#4X;~~=SRXaGU=JaHsC+@QD61yx>RRs7nL^2
zlnrImvcnZZ1z%gZi09-<wDLYnR}y^(@`|Rm%TSc)x;vA8wErdIBNOdijc&2d;#Y04
z5C%E0ytEZmS;<C^m4^p!0}mo)g8Pw55?MlqwAYXs#0xFKk+k-kycvDQ#qICLqIP_)
zx)`!VYsp8mcPEv~M8Ete!6dHl%-cE_*l|VSad!a?eOy@wD{Ih@l3Sf@tOMtk&*>Iw
zSM**?i{82hZ|l)P=mHRa#su1^|NVe^SK|`DwXEOvN9{h^t89G4|Awz^T-=I;w9<CM
z9@hjv-kDoo_4Q>P*gn++p2zj%_V;f@=k`~;syYDop6yu+b({T5(j}9puzU}e0fU{H
z=`DeuiSkK9;kc=uPvEyL9YhCUsVp1Kjtu$l{(@U#1A`fzmvr_S$(tYf*kpg#+ZF8}
z<r&BK?~+xP{#>!nUv47Qz9~4MMi3mo(6ot#6Azr+r_0f^#C<pagA`xZhfI^bMIt?4
zl0C@Rfcu#!fwFgHCgsoHc+knMKo!2*zQE0k?C2skrodHlHjo8^Q-2CcAC38<`E<)Q
ze^28>W7E(1S^+W^i`pp}@>>s(Up^M#W5po#m(JqH_mmFkoRL1AiR}nP{gMOi-M(z#
z(lN3ynr*F5SzQ+KW%+<Cux#VDIvIpGoJj%fn0g*qKP2ni->@awbL&JNMk`b=R7_pO
zt0p}=x3VNv<K5}vI%b6Q#tK6Qzv(2_`*VXq8tJw#Ss|C1Q?ev7591o}m?Xl&XmxB@
zpVcb{8^m{P>pb54Xl75{8|-`H`zAi8=>i~`@TxPso7e@kAA)aIC2M|7p_QO9Hmq*N
z=)1YiA5()~B^g}JuZ+klG3b&244vDwt73j@qo(-%U?2IgWyj;TFP~nF?5Mp9uC8?Z
zG8;9(GfcukYrxv*nec#7mO6J65n0Vm-1uwr$@6mDI7nuTEI<vTDmv_5EY!Ts02Hu=
zv?VJTQZoyBEd5Zb(a~7Ob(l}VE=T2qugpr$2t!V0$k1+{5rT|()u)<^<Y}MeaeeJi
zV0PQyV{W#V*O%k93eO#M*J>a-^B)!sz~v_3?sShsW?%ddR*0bnx|S#GlScLcUKd(D
zKxkX4L>I+-`aTW48>j{C2}kjQy@voW)ow*+Dmr*Li9LpuwLup&|JIW$HRB+=rMa8O
z)p@*4r?V8aC3C5j-#3FG7ipHp6uq7Sa7Q5YbR$=I|D`P@jVLC@c<28KbiT;q9?sJB
z0QTdE?(}YF!r#r%7Kued&I+7Q%h+YJYxZd{CVDi_^zom+zgV=<$a*2|2vK~^OgH;Q
z{FwT&EgJ)VVHHMm7p%4`_LtDu{Li)umuqiyB_=$(dBssmLGcO3^bbNlB?l%iG(d1p
zFHz@t+12~ZOy&9p-hU>blKyvk#sqVCa%~)cTonO)f-uWO2WUNR7}ty*_w*^1*T_=n
z7St#xex6;w2=@AMzm;ifZYr}rU6Mn`ebW05G<Na!4VV3S^)YhHwKMbbq5^Oz{`K{g
zKb0IeF6!XqL|JO7yk|9UD+&6&&IoLnOf-9%(JcYH#c#=}7&C6Uu@<<WzF#90cHz<c
zN4=m1$u?dc&<~HF3{_6RxO8M{7!8aqjHEXQ$jqj#zBayJv|9J!@4zxFIlXfd*C9-~
zS?4uU(RGvD<+RM>NMsIk&BS5?@_xeNx52c){lO$b^#!G!tXr{jamn9?@YQ~JDo&^=
z9~0OXu%3`7WPoF4$#uLysatL&#AufRK*0<FeEE&tYhxho>0dF%tilHYRjIua9!&n|
zA#uo{4;G!L;)(d0U>lwaN5s4;Ei|}MPVL60T%f(f9K2GUGTdISi8p8+EU&gGXHSj9
zJ>o2+XcUh^XNlZyZop&;OVK;`?0F|{{5vH8Bt$sT?{bKkm>fx<VM=yx%K0YM8`Uzp
zHbN>*h{1S}hjcx9Z*Sgp-5#RNR0-WiyvWPGFhwqeE;@N`XV!eyF-+Hp{-~+eCt4>-
zRId|F+N5+Dsj-x0oEU!IXAg$P@<aojrN)OZpG4Ene?x#UH{=^vY%s?a!@PUWcy9bk
zJ<I6E2p_Rpp~}tyd7BQiGRXUcbU~JVh+q}SUG3TO_4IR*w_+H-XIu&`aYSan9U8U;
zw0Lj7)F1_dY%~YcS4n)ked~SL(a3Y1BJSECBS*$%mvI-|Gl{}}ZviF=VOR#iRaB<3
zo98WO^xsreu<*9w=D8jfbBKuud5FE|-W$DLFfi!vvRrdlC^STn0OFadKH}NXLCSIx
z$|G6^4qst6bnrWhs@hZ)Snz}Hql(sI%Si=8;?tg6LYT<_yAAaJ2!45?y{=@NIf!7K
zokqo(8BZFku_D@rDvxlDBH5TkxVQjY0X@-w<~~XiSoUW{Ano<@q|s5Wm=VR$CvpYY
z<+?{@Se{e)oy}b@gFoNKNsyb_TXdKOX5p}@x3gJtoP|Ef5o~ynM&RnXBv19<^aj?v
zzg-H%H9oR@nogI$x6zZk8}P|7J*eJvWLzSeQcW>d^YTH5n*ySxto9mi!{wRzRhz0S
zKzAtgz)+hs@IG=A2QLQt*?jdmKVvn~whZu?dfvQY&IC3Vk**jVSGySFyC5PI83)CC
zVIKdI#Fs~o$A-c?XaW0YdV&yr@vM`MTF!(lZk)U;K0m&L$_D_CWlVb1B!dC_BY`vG
zg#L{Vnt2t>mSAbQ;cv_ooFl2D?d;8rdoMMb!W-Vdx#dAlaaL}8Ap&_V;AhF#;4Qh5
zQ*^c7qYpnIK{FWF>i9J#OcO6|y9{(McI}_QU<}P-c5O=JqP032nK2jvY1b$s1=sMj
zIG<hx!3n&AdAquiK+*3*My+r%t)i|}F{V74%Hy!=<C~wPbG}BG_6nO{;a1k;>C)On
zqqCt~5}Iv-XN{KleNG>~bW>_7c>qJ`S%IIcJb9$j`G80>fgg3$?TmXsWD?=b8!Oc9
zKBcCOSY{H6eY{zBUnx*|%fvjN{g~*PI)v<P8F;9};V5Gm@$z8W!F1QT)xSrjh`xb3
z6A6<0f4|eZ)4BfHj*KwL3&J`#=9*3M`pIYtcFE`sN%lDUSQn_9FLLz*PrU`wRrxn%
zQV9|$@!9-t1~FW^@fktN7d-R(-Jj|C{6{C&Cac+=SyzVytdzaN2`SeIM`)Ap=d8{h
z?C27M8gwL*YAWXtJA&7P+y;Kx26M}W;t}uA8gKk3-{hiXGyI0QFf$ua;Yq3PPd+Zk
zwg7`418H=@GF{+y9(*Lw6z-6yb-A9;)Lit>u_tvkV>TCzL&cPMuY*eF(!_QZ@|7KT
zdmi#S<MbpTSx;<I{cu5SrD7AUaXpOIAb0|owv6q%65FTgp?oJU4-FHJ>94EFdsGPs
zqCY8dz_`qRz7#zU|9aE`2-;b$5C+s1f{6ym+17`OHNNu_7q|{kQ^lICySY}^K*ri*
zDrjY2IK`MU>K}Wj)ZAV|k=pNBYiChs!nZK!`8fl2Q6|RSXB_pHpIMYl3ADCLZ^Iq=
z+}_47y71=3-{TG!T7raUzEf0{Z=>pNU^;1f4A~;JvBljZ0`W+SPP}73WUZiaQRQgV
z)9ng5m#g{Nfd`{)L!T@3Sx@{^R7RBkIB1qQ0;6pJ%(utqx?dgvxk={3O*+`=8XZk}
zmJ{fQSl?owSx?0!k^;Of(vpy6l6JpgC?&}DY`nqw{#5k1a-_IB0Qk7;=Mk5FGbyOW
zyc!~@k}*(j4o8IS06M<(JgY8oxTdX%+BE8~H7S83T|QSP_xSwL?5yCA`OXaKg(@F%
zZuaVQ7ATLebUCxGOQO20aASyj^!(TP;J%uT{4mkz+Jd%*1UyIr#p$MIxYZ$}-t%>^
zU9zu4kX&nHtA>;rnl2ShjW*^^RCy4+LD@f2!?M<K_on7p-5AYr@;7qcE?4e;39vo1
zoI=1n@rEPC0E{&6m27D7umgGMqHzQ1bbC<4mq$O6iTANa+oCPY6~x9;xsE%=<70Et
zMFxRZ717pl?|$~j!R>1Rpiv3UBeDgM`0tZ<!fy(<z5&y)eeztNpIkZDgu;t!W5+`T
zJ3>Wq(Nvgy>lx^XvOYY}N^(-)bpq2_VpNi5$s9tx)nWLcq5@LW@T^`H5L!d?!SX9N
zlb8?}$h_ncko&X2)|kd*(ce~(2>rNtf10iTW>@e-<9@4cca*wx(}d^9i}j(21)@_L
z2__)ncibEw{x>wz4-7I(T6h4~P6R;WgxZ20*P1q|*8C34s{a;`xA1J&n&{)of@WYV
z3l~mmt}We%W!Yz^Ia|R=kn`+Ig+;bB1&{EEU|8gD?*`?W@d8I%(hlg*co}?x26|L8
z5Q6TSqz$dVmg+H;07Xn5<D_&>=R0jF7)a&^XntUV5kj4ukI&La`SCQ_!}22FQPWGi
z)?kwCP&Yfny%bozyG+-DvxYSpJng;?Tdtha8~2c@L6cDnp6|p4^RNm!Q0&`m8G~U2
z(;>LmA(CAj#PAmkE!>appS`AaP;95UVY@e0A;wjh4_5E@9D9m<=x!cZF87MiZ($VK
zCO;8f^az*b&lwH6gS{j#`v_;~-*6{MZ*?lR;3fF2FT0q^zcT$Er5H^bnhc;$Z@ZuD
zT)B-NKIpTYpUZIQ<~w3ag5EJ|R+(?YC`!X68^cYo?ygbW1E2@-E*pzcBeRg^&lYUm
z87J0l&Oo)R-Y55+eA{dM<%@PQ=)v>3L|x4m8N5|Rwv1nf(fE^$-4Kq5OZCrYJlkYo
zKhQ-((BxoLYGWSLqe_CrJS4v_n3nNXOYO_liX_}RMtgSUi(3Ol_HvC<VfVw5k!x2v
zUT0@H`Vl5v3aJ)R{OP<{En@0rmzv8YD<kkow=rq~dz{kkVr*{%OnJfE3r-(Ou{Kc_
zn6sX#kvLt~g(>+f_qp}th}E5>A|LR+K97ImUqa?};k3aK^?hv>=Qjgs29<hvsXD)2
z*NfY~B&i@bE<Ot<kV0X!-~Gl>J3WdX3#a)~N>8{p&=wlsFz_;FCN&k?C!j7b?q>Ds
znsUS-7bUynR?ZQMz=$#BhUK&cvw6lP4ySzVc2JoZ!zP?@0~r)-E6KQO^jdY=<!vp`
z9@EyiyP&<;4nL;1OR`>D#(--5TTaLGlBP7rVhn|4+DJB__#!&;{z6VMDO!1(G~uTF
zfKY3tUnj>>l75<a!GpA<(m*Wj)|a?Ez2I3|E-XJ?Nf{q85Lj9O;WvZh&3rx%Y?{yg
zLeXptgrTf&dVQQr&tZ=;Lr3RGiZM*Kh0JHJcyo3P3`GMN_a8xPH~O$3Ki;QxmlXYX
zgrA^Zge;7xl<@$4KZ;4PskSWea{8s_g@HU87Vpy08W3)z(HwWqU8m!@OG@;OiMr%*
z2@UE3STblNt*Tr69`hOg%U2yfqh7k(<cY$sxo$pb%K*u+Y@fMlG8UaB`3i~NeUB7X
zU-gm9v<NT=q>p*}yjjTU*jnw!5`wN)7;|bbq-c4JJyVe(I{Vpqj@ZdKlg@>c3yIx_
z=N&`4_<-bF6&W8irc1gTM|0ahTDyE8Lcp6T^Mi8m$GY$dZuSXB!;=Eh_I1^E6$eu(
z$E0h|g`{I%wDVN`Fk1s<4aN(?G?XPN^`%bJB=d%48)m9~X8vThnI3tMqQ`pE`>Fv^
zu8C5Wd)<jt4-pJ9{D{uTA1$9!iRwqQnkUU+h1gr@N{y2asPj<vA7vtZqq@Z97L=&`
zG9Pd!e8){z2gnWN0See~KU&@*dyXy1^qxhja_R-P{VHiA2RoZ;A%b673pzCYf(WXt
zk^S4}d=X_SdL74N!cA}h$$>DoERyY1`@H>?(cFSKSQ{kRC)e=a!NV6#zW1Ht;BD(k
zt?~m&PA&onOyRKb=aMmTbQdD6qqS;T*i}J>0~coghH0JQWaS8XO)lobQ};(Wc0h)q
z+u#1^4SZVjn3cYMw)%c|T66bI+mIzeZ#%cm1TvebC+}rCG5HLQu>bfnYht65^|VVn
zVePZr^(lPY6)gocIB3x;xc`D)&}agNlKbt$@?}HX0n-`rS!6pwsMR)VI|U!x8inds
zK__-B9Cgft7kj{)qORZiTWcppqwCPxiT=}sRrj8+O;p0}2&oB~g2^_Bx>=Br1PWIY
za30wbNQB^pk8{j`ES*M+Q%ua-$d;9z>t@<5FMCNg|0;uTzE5HdVdpuRD|h1qLot6e
z0Y*uh%Kw&hKm@(qMZVl$Fg4yybb^jK7a5ELI;4rP{JByaO*Uq%$Tx%TBP7o#kC4V1
zQ_M%Y3#QJ@K9`P(^+YR!`aksJD?h}l6Ot~?T8bTY>a>0JY)7w1V#58+X(#FpplR=E
z>Bb1kQ-~tq`b3=oy2hr%YxdbLX=B_^T;@SF>-0k!Y^}a<@e7!Bf=dR@m1J*f`y+CO
z$+`QfA=gaBs#zBWR!3%aUAF9~J_iBYwnO>ar=~V4sisvPvZRzjXQR+-K)x6sFp`2u
zKMAkX#WMb+2Mn+OovEv4CUfuFGf8)5oY3ruYkNffN#fA`!->C;*{t_w90{4E6QQ5d
zBXf0{TwY3xO#dv6sprn#ieVY}F!anTqu~%<h6ejm0A3|2z=-xNqKHYvNyrj>dg9*f
z{_I+7qc^6_1+KQHSIEX0cmHr<w`D>%lJU`H{h1>o&<}O(FXH`-!lLi7asI=B*e>Y)
znQ4r9im$(gr)(Mh%T9JC1^9bCm0!hi)<M89>T7r@G2?q|$ES?ldB7RERnAI0@ts=C
zra(1$<(+IG(Lp=OA;rVuAsr%v+-v6xEdo>a)OJrA4an$1@uyt#x)<733+FD=?eq|a
zm2b!4Kzgv~I?tESY9}m;Pm9N1{Dn8wMC9`SaU*;B!~|Ml$wW#6_fK;A{KxTQfmi<L
zqvIFG?8xJbf8YDp(p|?dJbqdI131?3>9_yX=B0TWnH{cK^D^LH=>Bi3TDW$WacR?g
z@Qs_qKQ8rui0{Uk=%wtP2u%5Z$O-er28#j{3qC#gzbpRt0{_WA|F+;iS?1q9_zyAq
z?<oFnDeZsDy8liy{}fFBPBZ^xng5S8GsA~F4A1!@35Z_`b@|sH`v3Awdcre1a#Xcw
zE4?lGrTsr?|6kRD?5Pu=l+GtPU;O*oWbYbxjkJGNM*P>?Ef&CMS%+0m!+&Y?xO?Z=
P(Pd*{f1}FGEABr4mg5MG

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.3_70b.png b/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.3_70b.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c776042bab4e5ce6d082eab32e355d7024957b2
GIT binary patch
literal 249322
zcma&O2RvKf`#7#jQLWjccBxV;)Lx-RwX{a<8KoL4R1qtoREt{mu2~~R?Gb9P*tAyE
zC}LAo>=7i^FMYTDe#Zav`MmydlY8!SpXZ!&&w1`S&lIkwqj~uv>qQb0lFRq+sXrni
zArB`ZIUhlJfe5*3aEXI>A_L!fc!z|fEQb2{F*)&?+wR_@ha@C^H%UldgpiOBh@clg
zNJzZINJy|YBqZ`lBqYqwQtR{;i8n&*P47Q__>e@9Sf(T)KgU3Fo>)3Z{3AKXO7gQd
zVu?iS9NYhuADt8UjYCR866#1o_8Z5Xc>ei$OZ@(%`E@@3;oLuJ{6P8#n>_r(`9J0J
z5kJX9QEFh~iR#%sGY=9HCcdBFbN3(J*diez?RPXZ^)!9>K;F&`BKr7=o2|X559HZT
zDiTE>d14V_@A;V92jb%DA@8Ha^EZY(vHTMZ;Nkuo#nV}d$Mm5dx0>5?dv0k_F;Oud
z;6-k3ZpG(Mp2|N`zx$h<c%{VS;OY5H9suz6_7?S)5OsSF28hea$pOS}18(0IA!3Ml
z__}&N_7QRQ;Qdv}pL*2oJ?x%4KJ#>RbLIY7?_*mxFHa>No}Uf<-{)69JsqF^qa|05
z-;YInK)}yC0C7<<z<(mM_i_9$WIylxBK!Nfel@4~vod+JNA@0WE?z&o1r(Q*RQ$V%
ze}Vp^gTE;LL15(S=n1_2o8;fX|4wE4kNf}B&Obx{okI7yqdjpbfA#ElBmWHhC;Xq!
zC$Hz|WA9?B?g+7W_4xTTx22?refy8M{+(3K&Bg7x!L!G9_CWF9B>x2ZckI6#GW$nE
z;?fetar;L@|8(m&sUqO#jQ<k{{9>=ap+x=yUQ`79AFl#0S|{eWlaQ#8+*iM2=yPsu
z%B<X~%XbOieu*>{{OAf*{}l@TdG2HeKK+-sdYtO(Ef=G=i~?V8)SohN=qGZ(_31hE
zO^j$Ng(p6B|0NR6B=znJUq7Qj|Ly}i59ACFNVc}-K#qd@#rf3TC+)4~LMBToZl@k&
zpTWy!{(Yw>M`s5Kbfnk+$5Hy8a*a)}-b?n>@nj2qR{7p3z3#ONWypU&jup=FY;OcM
z^%?yytdM3wZWZR~+w7Zk;W9<R7jxhIuU^oRa`BZy*EJUy82@)~%_-GySc{0H`Tegx
zHeVv84+pE<H~e26EMg)enP_Y0rvI;wiM>=&pTDNZaP{wQmENXYn`sI(6MUYx$mxW#
z&wp|eqM6kgefL^n?X5O%ym`~uC|*wqUxTNuocyjJPd13s4E4~W3ZkPV9_Pq-7;?FO
zjck!Asq?oYvxGVhr`pi>Zf1hXsuN!wkXibjPOjZsR;X`)eJ`M)F3|N<O+*GCO%qhH
z`E@S!kt#RY&x0fg*Yamhy99$8{ST^?{P!a_iY=;3<d`hPFkUxiQ1GM9wDi?cq?_|-
ziIwEcoXv;cse132#T}2f*O%?aBgRD$c#*BdnO&@)l4!g&CcD(^Gp%%dE=}~s4%c)*
zyla`n(bWRTWVwZX9BsVoH?#MjjF!z-a@@P~vjUCn<qrb3zlZ}2XV!L2Fx?h7hNde4
zE-T7PXJ)?Hh0U(Gt9WeQvR6snDt{vg2fGDc{C52$17oITrpf!TGUHRi?Is(cnDV;O
zq?9U=yYs2pUQBOBB~K2Ybt(@X@5D!4`=ZPs)dxVT9Y2B}hJ7XHDQI}L<l-piSyPe)
z^AIhezT(9_Go0WzQWhs|6c8nccM?rAsoKL-U<H&A%nP?>Jo^*8%k&m;CnepM!kcq`
z*1#>0lDm~wnz9bQdu;+LZm~G}C`t6`s$TkT_1T&-2I46I<k$VpGQB*dhi5uZ7qu*Z
z1K1yvGFhP&cOTSmqK-PrSMbY-8PUeQ!7BTn1aj?wgDLL`16?JlrOLd<`8PuE8`xxA
zEj_O{eVF4@gyBX^CN=}lj+S8a;rvyr$R<>p|3)qK(hb>$gK7UPbd1veSdwwNE*xvH
z9>S=Tlx)(t(ReT|9z%Y#m<XB{t^NL2S+s<N@by8Sl&Mi`|Ki3|!s<dWbNM@6U~QTo
zHlM4fYF=C2cR9_w^Y*mgYVlX0^)IOBf_<tR=3&lu6!ed8`HI~fLqIW(klm#|uG@en
z)P5(MTjY9<h+y&Fq0Y-aw9<j)Q5)Ck0CXKAby0ghPEGOaJ~-9=uEJ_jIVKsLE;rOU
zoa1jl13#Er?_dTgavy){c}jjj6W|QM)nW?@G2e<Ux?q6Dy+=Y-@m;l;Psj3$aRv$P
zCDmniUD0K34r*|NDQO7Ca{%g>(&H61SB?fMR9#0ch4qNmyKE#4RdwQqbd{Bs+P)?Y
zY38&V;_k0=)4CFd@AIcg=8Q6FQxRSsyP@z)pKAys4Ze?^4DiT?oo-p<xIn^6Zj9y(
zBFC2o$B9l;@Qz-XkJaS7mJFL`L^vRhzw;|gg4vpu<koP!p$$@K7Kw=}2;0$!ElTn1
zcy~b&1W$)77$KhMj>DQE*3F+&Pg<z~k&wXk%F$^2QugT0ZUYK<>!knwI5_Z$b@Ecz
zQV<2F!$h?kS64Z#bKMq_p#x|-e(rxb7uw|xnY8v@j9*Xn=uc*HSKp|NlIsVHbM;Ep
zq<c^MYCC1Ad1)a6cfRm<)upU5Q)7NM#jd=G!)0+C7Q*3B*5y%4kG{iNXvN7r-{0%f
zmOGXDjnf*kcglai`?FzmrLuhOC#y}Ts{*C4{c;3^+45P7fUJ+PYH!7}2p{Uh`i(m0
zD_~)#a5L?zPjmKZmeQLEyNENGFyfg??{&Sc$LUQWDCN`bn01*Z{KKQE%>WrDO-t0_
zd_>nV+-mjxhx~vYIx3NQs$#6%)uM#?Kq@YEW(xX{hgIWz=61R)76mFJi9K!+VATg4
zrjH-BG9QId%=b6Qm#Pi7M7&T@OyZk29$#a8OexY`JNKIH?$^9@MqlBLk>rP9>F@_w
zE!i82bfbQV!wk-!ozRReObTO;(^z}NFTF>85MR=bEQi5HXbvVl&;rti=4kBO92(zj
zepb0d?Nt9C8KIr-FSX0A=j?*y=NV!{2R>RQ%8Tv|b#VnYC>_qe<Sma7t#kOU{x<)4
z0kEs>n!!3Gpe1LCd9qN6;P*p_P)a!4uWsV#xMTaaYUAjFj(ULI=kYs~9pk2h%zIRJ
zUegUKhBq%^-?b033XKF1o`ic6)VK~ybQ#O3{JUkI#v#`Wb#;zB-4^ta+7FJu=my;G
zACj5!95U4fk!@=$?Og|j&}q*E9Id-Y8*?(j24$k|kSe0e)eX@j>!(MXTu1&?{TNDG
zID<1tknkyrMY|VaA3?kH2vqllH%jiaxP6bV*Iw;j1nAf{)nqsd5dk+-y|Dz4J|5y9
z9&IQcIJ~~YSQd!y0YxA0arj0j+_UuB?<g$Gv^;(9HjKYV4*zDkB*qk3X11OS3SS-)
zsh+%Dh5vdb+__{Rrgw_q)mKI^P*Q%BYAf?MJ8_fI$OMJ8ho(5Jz5094XO|{zXRu`t
zdMT#$!c3U1U06&+Sfrim;yh5Nbb#?`_=QF*Qd0NNcS=hgZtz%oPkC{f>5b0E`fzi!
zB!=0xXh*(ZEZ-UF3Z4qOe59+m-5$i@p<ej%GTCV0VQ3&r2PDD@xE%wavF#i&0ZpN{
zUI8Q()|nWjp2in*gtIGisv9ZrR%%!BSuo+$HC5AYFHv#BTEoVkcX4<}rY=)mJ!E83
zGy&>I3t;tfZSN1C;gEq!Z~Bh~?^I$>h~>s9*lwR43N<|<Q%P|rKZGh+GN@nFt~GK0
zI_xC$Y>Vq|nG+M@je#;0=LJ2?<7~HSh|{eBD94FJfd^L)M$Y0aT)u-7Uu0aG?_h2^
z?AXVn0|TxsbRX<wDQg29WFUvcMe^B`y=(y7@tEgj@lGzfI&Sq-F%1`gsfU1c!DZ)w
zWT_>;rbueiB6siu7NPiD7<YHTrvD6^hUO&4;IQc+e^|oUjL$+81tzciap;)tg9?v#
z_wwK)x`EIiG1XJhi7_aqHW-yjd-Q2#^Xzm}QyE7cD$VnPjRJx11!LB$XMk^_;tv+m
z@x|$c8yA+Y!wzrQ<enYRQYf=5SMTIQR~fCN*x<vk{aQ5KwTRccqYBo(h&aO|x;zg{
zA66LV>_l<xHUX&1zK7PnQc=EqJWw5vEbi@)b!4;GeJPKXF)BIL^B9+e1Om94VB#5l
zuyLEU9~3aex3Zo2?Q+D4%asm%0kUB85ot<mOLP<v;S32Y3~(zM=qj*U#_LPdWW#)i
zuL9urk8E-_b<ZpBK|;|pf}?nwRi(;x)LO0e=X9Xn$vsZgjo)Hs^Y*>jEJRh8oyfe$
z-}`Ozn;SOg9Ogt#LvYkpzE=}EgC}{0Y%#d5%hVz?{u9TQvWC)4je>0(%7Nw&N*64~
zpF?$r{rA3VYSK6JjM<u;`g-yG#h{;>ZIGVk3H@;^RBteG=t!oq(-1g+dG0EJ=P%{2
zH{a5!QGSM19L2C`J*j*b^`kP*Cc}-Noqn?a9(0}I23h$Xm${c}7G+3wTZgiO=aY=o
zYneA17#(s*!6Ru&!Lex$$AF-7pgTu&vBME>+ojK0;>qaI!za1QCo6}Mrk11)w-4VW
z!mz47ZP8YlS6ZltFlj|m;f5g@x9SV{-Lc;++&DDUPYceM6{@?OMEERS6%5|*qS9U5
z3Ew>C#ZE*;C;F4#Zh6&w*M}$Cu7zLK%AM_U;FfNOBd-Ggh^D`wiCp))B|Wu~BfVV{
zlv<_1f)NK3t4DWi=i^=n@0CR)LBV+!bb>Xp3mkRrL{&Zi1`N5UnzH=?j$^A2E~G6l
zj#_i_qFdPWLbeQmBRwEC{N?h_77(P%0gQ)^F$o7c(N`WoVIH!x4Ps&mE4qPxSL$iw
zLEA_P<-PFt=dDci+!l|X_Z%)IZr^q3`pRsF?G0S`X1c|EwNWpE_AGll_hh5`GBT%B
zh?Cz}Y+$r3p}!#**`{OQNN5K89u`?e(b{#3KCx$>0MZ67#-ci#Z7+@IqwFjfn)w&$
z!oiC&P1g!*zF4T{?Ibch9akKK5jYgE`Lu=JGn>of3d5gztScjYFYxacT5aKKXMMR2
zSA5~(`|dq}3GK?E11h*97Bt=?_j{d-_96=WF*v3-fj>9aQY|XeCuSewpP5IDWY50U
z^^3q}i|+W<cUS!=7psy*YRIJ=yVs;&u)p<=a`wRhw+cf*PN018B~=Ff;1{-!Z_Ox9
z7$r<;h0sQL1@mTv38)U-z>4x+v9Ko?tSW3acw9N5)Pde2FhZ)vajEz2CoKuJXeDFI
z<36}5b3*BQELvl%;82=Ep)z%Rh(s`@b%=Srn-bzeFtdAj&Fhv1=-Wh<HT0nS_0REW
zi~%hC9_CFS629(icS7j|-K6&q*Kg+uHVSXY)Dl?qg8|i-6%@jsyDStcja5p-CVjV-
zm#)|?dO=HX8gOT7kDlVIcHmz3rTXIReCT&-adW>##z%)e2~|7nLbiZ&vD~?|^s8%6
z+6~`3(&b))ATQ%HKy-lZw0N*nRufp813N2(aJNPK8o!M>+qrK7*_b{QrrBYP!{UW4
zhH3-@%M`KLA44YWDcDTp@efU9R{S?+3POB9kXd5^sV;oTXNZdu=W@*rWop}ntGYvi
z%MOAXx{;QNui~3dCYqvD3xP(HagU1_VsT~*YdxUT9f1$;Uq(ux_paJjeOj(Oi5q&f
z=?^TyTb;}#N_9p60H~dKWF%bI-%<G-1?pPLlH7?=s${S%$e5+tWgaYi`~`9RMWEfp
z|A$a#1Wa~(1eqS<Zhrt8GfH87M`Q2A1~J@SHT5~rU2K`csb&yzBs<jPFr%qIB3}7<
zX}d+pVk7uKMe%y(b{}<RMCv<3PJfu2<Jr4G0!T%ve#=6HVoA@zCvmh+{H7&-%uEXp
zw;Dr!>NBvmnvb~SG10)SOSL`daApSi_^_a)B%*MK%pI;YNu6GP>!jjz(QTYn;ydDR
zl`x1-mWB%EiSuGN<`E73rE@pW-B5YKeUDBkj7eQ8LPdd;DhV1meojWnRL}f@yf8~R
zO^9)XMQiS|iyS4rItR~FD&|V=G<ys7rZr)^lzXlGq&Gm}DNuv5#yFK{JdfxuQQajI
z$^6TCKm5jVna$0uJnir_zM6iaT&$yvCDmLz7%BIxq(f4aX^my}BPSWB!ujl#mwt0k
zGD@b6UQ2dF38)ARJSC&`x-m9hE1;V_Qqs<?xSn@Bq<k{u&M&QRbaJxwR=&K2X{r5<
z(}7@2qZ7LB+dkByTtD+&Rg0<>^F{l@wZfR$>6R+JmClqogcb;m6;69`jfPMXaF3)b
zHEf3Zhuu8wX^Z|0x2Ja3YiJ@8fJB!MNF_++Ji8t@S6qy<u*Djxn9ytwB~oA_Kio_M
zu1qtFr>|;u=A_jV*5_!B^Xw8J>jeOMT*bAyM~DLNem|X>5zaA%(yeUj>xOi>x~%U|
zVq#2G?SxdQiHu!av<_|>2+LR98%__dVX&=~(2s&YsANkaWK3;$eiUy(Vhyrl+m2}`
zmJE0*-9OUeBSHy(<-KXs;Nm7Q4B@Ef^RhaN_e%gpdqE5XmEJgy{kRNWdZze?rkzIe
z?8n*aubd1#qJSUKY`IX(f`-E;gt$P<2}OvUv^`cle57*p-XCw}SjzK#mHJpvnOQJ#
zlMvc=IQR`SUDNzcRwl6jBJ67*+>yTt6?QdxN4INHn5}#CY;1tJG7UQ11W#`1_tZhy
zgN@l;34^MT$JVz`#fFeki3J`AUBuQaX8P&nm)i@}Az1L*up%D^Q}@2cOO#Nf^!=Y^
zh@VINz1g-xWV~tH@U1^mVDJm_k7<7D<e4F_sx){XceV~>z7x<Osc=XY^%Kz%i40d$
zzd#K}N|sXc>BMojU6}j&c>BSN8z1S;FOdUHLo9kNioPK}?Z(c!xVxQmcAo*fSsq`A
zAaAhBRZk=g?P=+<=+Oq!JZ#pJu?^m}&FJom)YJHAgDADi43)$dUjiTa$Pp`2$eBFa
zOJ|fS>*!Um87WgIi3}HLzciXOmp?VxgDgJO4&xo8>!PwCODnL55ATYjvR1!yY20%&
zX-R}_x8H|RT?lamEVV)lTC=|<qbnN89dy)&$A-0u(ubH9q7CyZ2v_y{X^dU=47{4{
z%xAh4R(sP=b)M~Oog=-(cH9=Ki%|*uX59IZ9N4WrEE!!9E=>m(-kZ+?-n?fJ>@se)
z7Wp;K4$<Y&noe9^DWv(Nw}X@$AEL$h>e$*?k}L%2M)t}v8j+#y;Ru!Q?YU&akRJmk
z+uYIg6_I>)G(*_H&InI}7^++5LPZdGWNEQy4!AI@7Y&>|Sg`$Q6+SQP=zS9GmOeU}
zi^AAUl=fhpZ}zry<Q|w=*t|jlSj2cg6aI2yt+47_AEOV4U!c3^F6qWj19ZuY@e?%g
z-+fsBjX41JuH?A5?mZeN-B(a3i<3l*+dmY*b<_05g~p=tL<!mQ`x)IsfGB-Cts}ZP
zIPf#L=)TPQ*?dLJPWVx0{tgbX=>Ig}Ap4ccUAl<zV(HBj(;w!6V!3?`wLKJYGlX;(
zi-qb)1^|87I>mf$9)2qiO?7;eb5)3st}x{jjvi4)24_E#^XN?t{B5tYA*Tzw*FefD
zZuE-*WfjSUrA1z!ErL$%VY)~S?u-u7!Parrsrf0=Q~|YTrOil<g7S_gjT#tJamZ8B
zlD250;FlWw=L}N!$iUQ25swbagEbU_LX?7Rz;lqGo&*iRop&rMTQ?l~s4H!%UKmqE
zcteGkUZH^4f(@*y3-@0Z!T>3o1Cv0UNmdQFa#<NI)=HJ@T(FqBy4mM5U|^tCK;nR|
zFt_L!<h~xZ=VlH)Lj~ex-Y|t?n0ou&NgOq#Bog>wbM+e6_n{nOh3@PwjTJ_f%o8WL
zq9eg3^ypETI88fmD}{1e?wxu%VJb~o`bo;j5D`^9+)%!<fx<@o9nbBHv^)tYmq-Wa
z2aQNf$rrzDik3)(%dS;&JJ&)-r473S?>cXP(%@ZneTqQZ9K?R)*yd(oG(1%j-u#ks
zHJ%S^@1h0r6)FzMaUEoC^Lzd7^wEM1wn<vzbZiu<?eH`g8$&MI$srA&jlp+G*m8>x
z%MNhm1nlF1{ZcbyGN5Z`n7&o6uo-M?*ZhsNGOc@8BCmQqRpausS*YDNLi+|i-0yAk
zNv<9lRg}JLs^z@#1VQHj<YSTt7=Ig{Zt%wqoGx936c+c5cMo`1MoAi>mZ55e=kFN6
zxZbdx;hkW<X<_1v<=TzJ3IwbXhN7{I6Re;b0_l>%48C91IO-vSynT2__ZrQ*xKPsS
zv1#TfvEi<`4)A=XykM7(yT`UCD$Txpe%K&sR8uJZA?O9mc|x`P4?A3~@jfgE&(N%B
z3>qjX-v$TlykR(XqD7}IZu4F0SAXUX1dm8v|GkzOGX#wz_Js0Z=WGAA-U-LPcvYv7
z`RW6Ct`!7&X~cFymGHMlv>c+b8S0gOff^oRq;O6|Pvo!l2RGw<DT*|TOoZqfg>^(Q
zA|Dz7#?$6|`_OO|bp;-6k=FICd44WRx3zHI3&I+aafxC)_t2u(UzDmS@;ura4}KrW
zbTILn1ExK7$KD+oK*qA)!;dPU{n{CvLYMD4xEnfV?C5_X!fK&2&=%;fcJ0{y9qrXP
zU9t{yD@CED{$p-Q2GZ2<Jj?^s#rX8gnUS~gYwv3^MJR8!KZM^&qhtzwgcRJh>2GI8
z>1te3r7UZUHdakTDP3h8iTbQ6{M8$m4}h;|XKg~SE-aV|8?r9Ep%X?D*v_NGuJf#%
z@7`Gm@BGZ+Jt_X)C`ZrU(PaI;XX{QOQBM#sPpq+X@hg6Ds_sy9oE0l~X2|xbxbOSO
zf%qd=9Jz2u;(#gIue|fG+xQ%7vffXil|8wWJD?r%s8c=&IT|PKp8k+r4w8>@**!-a
z%8d{&M1F$k2uw6`5$eF0J86eJ=!&A9m4)=O#TWn!W#|$^a3(67_KlD@I#KO7iC`Of
zUpuc*yl@6PqY7%uZ|WE~tGAUDqD}9X>Y~r+D@Vb0Il=S$s=<2|y&W6)!bnKl<i|5M
zI|7p6%(l=xnPIhe%l4ypl{3=O3cub%ito!Jv_#2F%W@Ll;2n;{m{|jtZcJ9f8+RyZ
zec_zj9n7z3<^?7&Z<<{q_a_w@Q~Rb+->(-rF(Xn?Kg5xTlQt=5#}YFI_1ip~6~L^o
z8(e5-7^^~OSPcrcpnCKvU-_B>-?Kt+wn#bQFT$R!d<qOl{@SlJG;1{K2YBg1s^X~3
z<Z3mc)7C5Rxd+Yft#=`a=uue6h@ZFnrRnNlR}m}It6F#`d;HUW0byg>;WMW*)f%YK
zyCMJJC3)5>dGVK~J;sd|gX5%T*VgEKw0w#W1az1y>_O%cuzJ_<XlPa$<Q(L&X!MIt
zz<e+{ad%}JjgJ;VnUN@j*)sL21F3CoUupP+OT@cPUyHEb)0a`DxD#L63_RBsJT=cn
zq<M9aaiLXOoPnC>)l`0n0!m=Utlp6~@?)|I7f%Y<X9w-eI;Q{hBw6OGM&mFtWC0=(
zg3V8B^Fjs$pJs{__G7*URRZo%-Y|96Z8hZj&ijZyVNYnYs)OEuz56KwJT1kE<D;5;
zO=4eNJe5ppfqJkV$qknIi0Z4h)*Cg!@j>p&9(}7uNk#K*2UoyK(l$qoBk*q$r6o(k
z9*0OB!1XRb+hrk6E+)0{(IEAMSHbS;BscET_pH&0#D@1VG*cSZ==RuH1P%kTM`NP+
zz1EHdbe0NM*gurmvjK31IdvoK)o;%zjv_(FS9*;w;|;+X0S>O>(j6%lRhJjY)Vxe|
zPvytB*XEWm9+{9C<t6-0<!_y}b=V2Q>0ZS3<E^b%45%gW2}0}#K&iqAFNrM5Zr??4
z`3O)`fLsM4-fmFSsLJbvm@klIy$>ba9`2Ln|Bkup%(+wRH36xPQh1v^a$$aWokIDr
z<<S08r;oD-!WZkH!(HN+SmphAf!C)Wyr%t;iwm|DgUaH7f8iAgI-Hm}-8WS}y)~0G
zcmNN$UwFA)gwMh5#L^nxh&r@MgfH4HP|F?<_Z?@%undJPq5^wz0r=G6(9#iQvdFPG
zE-vMgJf#rAqy$A?L@ixR%&wUfYrpbutMao*`mlSjNU3|1zr0hXKvJf~nZr(*PA+wx
z9J;$AtU{&_T-ib{MYvPjMs%CCWSRr#Q(nnz4@Fy&#->>^HM-D6uHQ{~ohJ~Zu~wwV
zBQ73QV>4<-&Ld9W)-OXES;6$B@@<J{M4Ct|ew%1w_O|S`fH4|UvND}QjpKbvlZwsI
zcr|YBPWai;j57DL?a_@#%6pY@93RSEOj0|V4t|)oGn$6|#dJuD!rb-6YK08-?~>gn
zvLo3I_V4-432GJ$cc`RDj|R0@i`K)7Fh3l~ydH^ehX=Nc1L-9zihXdS(F7U&S9At&
zjU&3Eu<7=z3SlQ->i0&Fv^ksvp|ZQloy-=5cY5|ak0-=RDDPonXw!}IphHa13-ezR
z>JlzzGPb;avCwQ&)?D)8awQ^berZu^$vv5Gw!hopl)h&KU82<*FFy=ojiYT>yVE4G
z|1|!3zXvqiyT%yg@mKkNTwp@jn+)J)a-9RSZ#&1AX0S(E)lDsiJ*o^8ds`dL!`<vM
z!88E9){CLdJ>L0rXE?@E(QR@c_xA40TTQF+XLM}-K$eSxDHiLV{FH>&F4NiSrbAP$
zWH|oB3n$_wrpzcE{uapGYtnAJnA}B`Br^ls6|nsz?zWbk7zsFum|1c_kgMX9*rNb0
zeMU>ctXzcW;Z5!OnfYbbzV4q=5>B{IerVdwa76`f#d!Mc1fjd7QH3S_e08jeYxgWb
zF8ftEqdV9xpb$JL1U@cu)>}?!{b^Aq6vHgxcU`$qFAQ^_qfLwA)nV_@%Yd6BIZJJ4
zhg@e1vZBM;1fuou?vWyWE*cxNbXl75k1)tb<h+Kz%q6^jah~iGQYL?<_DX{<nW;Yd
zt<-Jmm#NiS=FQ)~3MMaprSP>)b&~doZk8;<vp#<95%2MECOn~Wr(+(IIZj&BZtg2$
zDdL0g0^24o8zq`aFL%)EXobu*5d>%E-$SI85PUX$<!0NJrPVh4lW_w&MLf{QA1?(*
z`XzAd;h7b7M@XkjB<$lTn~mewEg@YfJ8LU!ts;x8NuD$5%et-Pt+uKvLz&(!L;m`d
z%7fT|MY6!H8;bbWW+eor+{Q>al1wXDWQKg3H1>^YHgW|_mI-;;Y&a=6mE?1nD?5C$
z_uvZ8jssipCHhd3AqwEmmyAsYn>~t^0>$G(B%8s`UP~h|MoIr3A^U<a)x+-5rtN~~
zBj`$rJ33rm!p56|7S<;(#GKZg&tD3A%jdZpKhs^jvxK`3?WxuR=%DHjEKhgp2Ti8y
zHg|oXAJ2ETgX|2ZDy2Bp72qLZC^+5zp3%wOnUnziYQqh<)o?X(SCMVdfdbx~s14i6
ze&uU{kU-GYE4vDSdYMss+>?IGVi}V)2BO=hC-JK&!dZn2e98m7@G7RWLf%-8K&sGg
zvCCT}g^JYni1+gaa-_I~jas*QTCR9>zG_<zuI<-x*iEn4Nim3<v#xFTKEO8V=~4KO
z?OX%H>Nj52>eOOg*oDxtow`=e2TiChCUI+o9h;Dc<@hjw3PUQ2AvJ*q=dE!nD0avR
z_O2S>6qo<lNvtVhhk;{V5u@7@e^ge9Aagy7L;R3A^#cU}6%*4Nrs{d;Ift)x1FZuR
z)DI)vg3n)Xo=>)l(2sy-W{}s|oKp}A<0t*xmEKWe^)N*8)U@GEwcbtFtx+9G>P7Q0
z^d}2<BMKbg93f@qcu8QE?jB_c6aH+y>7;sF_b;X0H<9^Cdiy!cp8(VI@6X6?*Iy9%
zHWEQpA#nWYz<qF_^v1>VtYW53gOu_OahuSllJ$ExLv&tI0_hl2@pr$QhBbl*ow}yE
zd^y&HdJ69!79r`#!|92(X6Hb{5F%RPi(4b^+x~Lk=`yc^Zy~y`0G-iUmal_}rZrNA
z6r$;;C<UOD6W4NGgZ&s*DQ#)i4M@xU%G;LB9%t0eX6RybSs46MU!hJ3CBP0{(!Uf5
zp4slkI^h!KF#SX=<sP)7<#?WS1LRNwZg=-ApF8SQHFB^ztPy&Cq0IEHNh9ujAU3A(
zbhC@+#H@)x1v7rFHo&y&Q*L%*M8Liq(M%&+4*@AzbKww2C2t^W5U6|btbz4K3?UWY
zEqk3I#knD&YcdD<gONaOOoQ+1Abfs=QDJq&sRb!@RrHUzb?20=NnOTFB)ToRf(nvM
zUTG;$vwv46t}i}^+UG$$1Z_s);V8F>*MO(&!TSkN;{lVXt9Y2G&C+f*?T&5Urti&S
zMPOT4Jt5D1*%z1F4RGVQx@?I{WVV>JWUT9335E^cLZ|+aJKBiK%_j3bwBL{fjllY=
zUPJ+lHn3R@4B?e&08d!-X!K)58_;`;o6dQemDgn_Vqm@eGgzq!#}(=fa<MVRfwVaO
zy7|X!%>UDDocrw!^4HF(8Amc#8N%Hf-64D@sAkE9{(eJg7*YePN@K(t%=WmQMm0j0
z+AxsGCAMzNc8Diw4D7yYjt?NqgHlJ7zo=xXG6l!{unlExiJ+y9|EgU6qMEy!r8=+5
zxmyQJea3aV6$&|`uobQM5$4<5&*r~NC%Ash^OjC%xUb$p1RLJ5#)!@h?kL(R2*7Tj
zTdCaVDHWp`9vtdBQvG$@94#=gNx9m?4U;{*t{YATXN6KpKq-$Ho$Tput=;40WR$9i
zmuC<<tTlwf<+K}(nZ0g0K-ko8qPF!p4(F}ec6HeU$pgk$v_1?qg(p=L-I!wsO2}iD
z&kN}y>_S&&PB}qU?s3&*2|$rEZ1N{6HA01A`a?CmVwCcjKa{=OkQr`0W8jKk?v=4k
z-PUWZJnT>v$JxQAuNCSB&QXI{x&pSrY8>vjq%m~WX7*vbu=k-c7?b)fP{4^ltKz#E
ziQTsWBIr3v>Pn-t2fj3mj4OMZyII?|G-6Hk*s#u}2cdFtbOH$9<eGfZ2y&bxQX5d3
z(J+npB)(W|8H}oudA(jL!?iP!5yR=EXIvSCKIc&)pVHOnmy4)p5>!*zRZFq8Q`AvL
z3|Df2YUVPO*_@B__TPH59?IJrIL7t8h9wbY-{g4Bal*BYr7swqg*1~qGp}72Gxd^A
zRmVZl8BNP_rB!QZ0h)QY1kiA((p*)a#DV%jdv&;@J{}%T7e?F@juUj0V2=yW`2P5}
zwD{;^eX^@uu)pGno(+%*Upg5FWb~50ceo?_DXe;{VyI`{yw02iE%-!G#ngp?ozg9Y
z-Igad$+Wv)67Dt>oUZaX!y@Qyb0|ZEuyy>LON&l#r7Y9ZctYZ#zA8m*QHUN?xD@YL
z)(76Ct8Bj6ioxHVG!w{U1_|eJw7+Dys!dl;Qmxlzk{0$Adq2<QLLk$E0qz~5Ig+}G
zY5-G`et`Pa!*!{GpQfBNHiq&g#fAP|RS?Y)jlu+_@^oyGPCHfo*PK9AW%N=;d*Qn}
z-{oSi*uiM(S37LVkRtfDom%}!iArW<0AHG7r)J|!(u>RzzClCZ!Ii{$D`)MlB5vzz
z{qS@%N9KqWlTKB<)A7B9x*9`HuYuEa5vI7!9`@EPVnjnzwB`0!PUy1~>YSpnkuI{y
zsGfYfrDPOV?rg7&A>jyEK>HcF>C^>ec}HlFY*(~<o)Iv$Y_(?I=)XU5+MzbyEgY-Y
z;K%ragOEmG;a@tZ;1m9Q>4O%pQq}y3t_>Jty;yiVTP7hKP9yzvF&Q%(1F(oZhoB;J
z@$C~T$K-S?j+LVxqwL-x3E_BWjONqv#TZW`e%$-3?W2c}bRpI!<Beb(?EQ>Km+-_@
zG=)bL>fx3*GRDYSda-K;tck-pnw4*i55zc6r^n~a#|6Erl0X}Sb~J))a_hF$o^@Ki
z?V9Tu<2pO+T8LrlF61O|24Q5yy^mmDxjrJU3Z|o}{s`!b3`tEGIZkIrgxcRxU&g{g
z=AZitKP>MuJ&pIC-u<+qySL8ssfKU<v;%b9QByt;JW3kxFvtDGR1Y8}fGD*A=UCZ>
zFw{RBC;IWj@kWb&uY#?>s_P%i$EvrcfMGt+B8Kwtcj{N{`z|u|sSDR@;=#G`qxXgp
z1`&*6yl)vD*YutuRK_SAb6vzMepCs)^{I!9jrg75Mq|LjJwOGf*={~|y1-+((qnC^
zHPZ&h$BTB<ywv_c94bD>hn{1r?LNF4A<r1E*mhM7)n{ks+dWffk`9ALIWdwV2=tvX
z-(77NNA-aso;O*sb|}-?EYuv1656~E-Q&+p@tZpVovj9PAaQ9wIfL^kY_G#C8S|1Q
z3wc1AEpFtP<}SL;zy{ZO&p^t&bM{PWp)2EcLB#PP-n}!BkQ>M<mw#4`!WFyg<SV;v
z4vk9P9a}-S7q759(^cO~rTZ4qZu$io<D>>>);%VN_L;#7Yg<^hET`M(Bl$H)a$!3i
zq)hEn3xh)TYhxwcjUT4MvwVCTU&64>-mRZ}a5sk`Tubt{Sk*i5aXnA~{<hsM5787@
z>!(wm7Y>j$f;JtgV)Rlh3JLh$Qv{ATX@raVfXYvGX0POy5SK1-<2~||^GJpTA!Oa~
zm>tO6H>|E(pLQGjYDjXcP5;!-8gh3}s;d@^o-DK)D>@ZIqV%9xKl6UogSFAGN8$il
zQ8Mey(tzCc;fFKZ50nebT3#<hOIC$Y702BssM`V7E4d^6JA_P|qk)5hQ=<U9;quC^
zR^l%Qy9y=yDlr_9YgOdR*)O^LE-6z2le4NwduIymX>#WX&qGezFmkMFP^s!?k1>rW
z%;Mrz%vXiOL?lH5jt*a~eUn(>AbSCfL%>s43uyH}&kysY53HfnsK(MGJZ?Uv6A}Iv
zp2Ae7uAJ#8@;rAxUi%97u{n1=zcn#pWwFP^OZ0I=pfNNaK*xctg}IC(Hh0iE5*dS$
zGHuG(VCQ)K?TEB&6HvVkl{3@X^tp#*^f`-$sa1w1q-C)7tExUq-nvQrsSJ$I;zAoy
zeUqyx(cKExuq|5m3t%w(t%`)M%f>Ez(%Eurc~$sABi!*2RKL7uuzsiJs$i3RSmLxk
z&)f1NvvUgb>GF&+;nLmL2{_*{UxKhjdk(`hf@Jv`S4mAr_jW_HnZ0q7*b?RaQx_{M
zZOPsDR11Zw;>G@8_{*?@&AFgNJ;%yhDY7ftvhQ^jyLyjpB9kS;-lO(zHI2<Rp<JVf
zI58>&po52Ic<4#_s}g*c8;kDoaA-xw^WiS$yC~u3`#R5s3#`4KHnEJFeg%x%6%sD9
zb>;vBwYbv=ojJZOM_E*XWVRmXb+oA#-}xnZxF3Cu36Q)Py=1z}5lEw{rwN(+ah@rH
z9Nu~OywmJ#OGEukE=zPtJTP|NgQkZSw3DADzf#}n!&UK8dL%bw{*faLg;g6|L8jX&
zU0zawn_Ilsj0Yi>hbo5rrNsvma~9EBLj7Q1tSQ$vv*4*JDF~N0>Td|LF*w2kWFbeh
z)P1bVMi)}3<2RED$!&)z{}+hLON=AxvMcQPTVyvSCnIzub$ohdB4U%4i=H}&`0OVt
z@--{)0$0kQ>EuPGGMa6s#z96U;Scd5#Tt?=--0o!-quN?8$F3Y)cn%;Y~l`4vnvsC
zI0-L$RamaK|FQBgF`YzRpwz#cH2H;?v$$)lj*a_G(y`j*tK<`}$#2h$L2WdjeG2Og
zCee>@MwgY9?qkp4DaG53?Y|+yEW~!d#2Acw2`YoK`JXVj9~RQIUsfF#Mu5v60W&6|
z?MKHf{nsnG=q(8i-A1ng=fWt|Wuz(nU<Ls9V?IH;ch#3IwS2ZyFK4hA&KM%!boKW;
zdwCS21(>_0JCh#wD-X&=KN%Pup_iHG*vFbIIw{Xn+-#TQNkiE!XURX#(ouE46}a6V
z^&<~43-Qi@xm+a3)ORNM*y;d2#c|nt$n_8TJ%sBeVjK@oHUk4)JRtBMk?KffvN#P6
zSKzTI19hgk&2*BK4Fo^Hz8ia79JN)*<=qxKroocHC9$sZf%gJt+ez{0(d$h@Hoiyp
z#!V;iDLoZ=K=`OhlvkA^arrpaL1Wudr^rA7H8V{85~s9QuaQh(%Li*h5Ezqq`9$R;
z4mp$L?AH=2;2bcQD+zVpojDrCDSO#avw74m6C)UxWsyG$+gGNoL5aTbNDwnElEWru
z%t1#AU9+iiHvO$()z{vT;8)V?n=v@-fiN;<mBBDsO!hXe-2=^+1q3C63GZISLoq;D
zzk@%V#qLhiBVCVrG)YwfGMWl_uPuEaH_lrOxX@u_zP<Da{s<2|Pg#QrxOJzN5GPmR
zq9a$jkgV27RYyRH&-YM)cmyZF)zDqJj2I(5-4k88vCl|16W{dw6!Ea}il~q8LP6a&
zx&q3%D}|G(zcx|TSySH93f*P9zSYBDq2{IYRHl|@rgFmHv|f~Pi{7CL@pC<Q@5(Lx
zHq~eco9)&2BzD(LBBasn7L(?Z=1&xa)kU1b&rMv&2oZZ68t1S2gesttB~4nLC<6mP
z;EquVU-Bya(>n#0;7sbkFyHu+{vEpe!VTefvG>Hd8y@pqL2o}jqyW_0jnGO&*lg<Z
zjWM`|(K6LzEmQ?3PUDhjuPPq&Tk((}sOYDWjzKywn}`=0iaa*QQ!^)10wHrH>Ft~m
zZV^7fozZ?JYS#>;UA!3>k_XD;*MF#Bt4Df2J0*Rb=$1{~;(IX8_nCQH{c1g8gvvjY
zD#JlgtV~Ue=gki`tf_4y@Fh7E)^>^UWXmS_Ho>l}As$-hd9q7Xl2Xb>CI)U2LdEk=
zh7(!xPQsK3A?^k|?ry|{1QO*F5?;&fj--2PlI`OX0Y5+!uLDZlC>MM7CKC-t;qTvA
z{Fu!3ZZu8G@dgDr`3HaGvXKnTtKRR_<`Rm%teZjh&~Z<$Dw0vzG)I~7#@YJJDdfBQ
ztYj7OHBR@x8#{d%&ujwxjEtd&R=$(o3GiCKWvz_*8FLMIxdkroUW_?)Vt1y1*t(3x
zZW32Xy|@xuGAS=3@7))G_mn}<aaN(utOl4=z+nf<?^c_v3}P3NcN6K`d`%fNpM)5G
zs8{V4u$!`=#5P#KT;HzZ@saSUj|+{HkZ!=fz8ASIX{ca4v4`&PbuD?KmKNo_ZbEcO
z53TN4HLRWnWK^7#cQ0F>^m(B2X{)fv83()dh?ml02eT`cs-2}xs@ocNmHEEYjnMW7
zT*jJkwV5d(EC9>wlIKBHZ$x|ggO_Nb^Emn$G#c%;{^4x4pB8uvA+jBCX+Y7`<*4qP
zS0%Y}Up`7~jydp^pY;kpBXHKH=yNX368{~pV)T^&xdPGj)hwx)WOP)y?T_-WK86$!
zbSR4ByEpoE+j36Rjph_(Oa?%k5c0=tVoVGk1{z!34EPn@8A*MI+9<RmnY@U+w8M!!
z!YD$smHTVRmLX|m2VZPI>DN|$jJc(Gvsul!lGEISy-y!*IM8!a(RMSqebxM4_O^<}
zQ=r@>9<YJ$hT><F56ultFe_$$(rFxn7O6W3pL|!o7yad$rukEWSQ~wv8!b<b>2%}x
zuw&Z={n-1d#Q2lR*%Fv#xO@o1A|)&?@w3)(%Mj1F>pkH7lh_9;r77A9K4=krJ*)5F
zln=$l?ev_B0D8NGnX6!NT}qyGM-XWWhpo2RTSlsn{CcB05;(rRe1r9x8_hQAy;!wM
zsp~EM=E3Z9Y7@?ynJK69>83ftJVxQ{5x7u6Z8?`=*=Nc^VWVzL+A=~&=)4JDS}01^
z>yajow}wuja=f9LzY2Fhm={GzmLA$5u-u8Mv5$20-h5h|wzKwWP7kmsUzl41G-NGe
zA6kZE>O`$!mcq3Dg9nf~YioElR^!2K<1p`IDQPVmAw&hdatJ~U=T!L-A2Um|iYU~S
zLM8=9lcYJLEF4QmM|(<+34%EUsjp06(%h;A3PjxF)N3hM_w2m#6ptmC_Rf6mzA`&4
z@wYbBcKWopTUJ8o2+qAfOqPsJ5M0=~(Am`Z7L*T9HerPsTDd!9X<*kesX8DD5bR;$
zQ(>Ts&sS`S)P(j@5%N&EYwxQI`uoR>EVdd=jo%Ae_!CmaWE^N6%ZdVcLD|I(_D%EI
z#fm!ssXgEh(Z~tGecPz9c?{&GS>^9v^0cj!-sX#R&zZT{>4CfESdm)}T^35f+$BsO
z?A&SCeiOAn@ET)$lw?;)f!NdZcrBZGtEs0`m?r%yZ*P>)i9yQ#9abO<1;z}NcsBqs
zGv=VMpu*Lqj@T`t9h|f6b({em&okR`z)lz5oKIl+fgIVeKd*^M!PQ0t$*unkl3Xp;
z<^Q8eZ>w<gY;O-}ZHxc3&lq11GB>s0HcvHkF%L0@iHM2Ng<mDJ4$dRb05gTOGvNJW
z+a#nFnRT1F@0!9azT@@z>a|1?);r&QBaM;0Q^W0f3*B1FR0iMm*(eQDOloEVrEzpG
zDxd4zuwG<Tq~tR?$cOt1H;b2ksG7CUnh_scE_2{#HI<z>=XhPm@;bw;U|uMB1-Wcl
zBFoTjg>xjOQ>?4I4&4poZH-cgt~gnnxrdUxSV2vtVIwp38z{O=aJXDn*%##y$$8<g
zW*qpMw+?3G_}5wcr=2n=af0(Q^Y)+wke)uwA>dgr&4jf|aotKHAqe%+&A2(#LB*!|
zu3Y(;5#d!oi{ncM0Vb@;@y!Ra1qi^CBb)RxNMxS#NNsziZzjyWwO_$Eino3QrwtF9
zeWV&)mVL7JtXSOgG(V!E+Y73EIlhzSuc!HU{7&;hcm)9R_OKb}uKr?6$lE8U`c>tp
zDyHx44N?`?SVq?<r2-l<Rk=P{Bs6RK7?jAmthFCwO`7~{5}(9BR%9HHx{quS`{r~Y
zHnS*$`gr{k7SZvEOwrB?wD1mPjP}1dALqzf#F4P1DBYXA=B#a}GN9aR6>#Z6GD?8Q
zG-ZNp0pvTF%unh3Gm2jJbZqTq1@^<t;ov}`fx6Q1NQ|557jTI!1z>leNDq?HPaP$)
z9~Oo&s>PV56|O%W-&lxi1MF@$04H-dkt6p5-<dS!OXovP+<1z8M-K-#tShh6HuY`7
z_~V=p0s?T8lg|Cz9|@TQV8nU5^`~pB{=~=x?@qr1RPDF^wHayHT*gDH*3RnF>kcLe
z>U3w?69a*>u9RzMHia}xzKgo#wq^x00xu60AZqsb2V2+P993=fM4;}S&MkNtfCiP}
zC5NfaBj9)Lc)-~Xz>dQ?I$!>9GX8?*!Zdqmac$EnCKCV{{iEX-F_=mmYc6D+4FQcC
zqd>pFg>RboAA6ghjOS|1dY&^CYq$7p)^1j0Hc5XyTx^$Vd!CAh=^0bBIvF*P`VqCg
z?F(|mt6M4Qj1IzkN(MO^*Y(>p^BbV__;-emW0lVmyfgHCi2+<|c#X+YyTrpeT{zYG
z`5fCt;re6#)UhubapiVz^~@s1&3q|2O)VxFE>0FA>JrEDfw<iA#>>ICXQ-OGxn=Lk
zOv!afw?u$;;$GNXw^A*K$wpXc*}S`Fudhp~Z?f(#7IfGgh|2e;5+X3pH6t_``*ZI2
z!43RUD=aFr1B`Hkr#lOpy>eq8MAj}1FOzw#d1Dfk;8tvOS1LKKU)Hr39o~-*EGw^D
zvEVajctTm<*)F{OG@+3Jw0G_ld!CQMStfF9{lthFVrci?p%TJ^#N+@*ndPA^41<)h
z?E(;4K%Q=8#{Lf9`5-@Q&h^66cCN_y4CHR8%|}|fz3Zn6hoS<7w7AHJ>mha^W_b75
zXgXFS@=Bz}iDhkcx`7*)MZ@=we#NJ!am;p^*QT*nEvbAb%BKs;RX=UAS)l66nVc<&
zdeTAyUD5aPhiK*X%s}k!kb4p8kZ!g&{<r`z{N0NMfbG-;qN%08BZ=l4m1<E+yD_LI
zmy#5Y>h`5^M2lhFJ!gvbqHSy6IB-CR(F}n8nRQb>4C{mvi!L+i@&!#BrOOvutoQS6
zVI>Gtl5}-tBi_Rl77HNGbsn_mWZY%k^$jQO2YYwctx>Fnoy;YjTr)=j84#+n9ibT(
z6I8&QHVYKSxs$QEYIM5iQZjHh{^*QV&1++bje=<CrkqBXOD%6{Tc2p1rS?m#ttcNR
zGk<SW;o8H0OdF}~jCWp~Gh28IM`RJr;P^PX6UDU?wAY^$xbtLdrKNg!Wuo2Sd@()q
zFT250#?l|34lSMXI&xuN!U?0KNM<@guAr{W*oV{_D^B93KqFtHyPJTNcvL#Tb7MC_
z_v&)5_2#l_)giy`xS0S%=^d)OT=phwJ{LVYx!4yMizF-4vVg8y?h8S}+nM&-KYmh1
zMt+h|I`9%<8<M1++SPn^v$IeJF`R{YmY_RmqMQT{#G-{2c6au-jWpdC4bB=${1HrA
zCM&dymZ-d*M@M$?21Pxufo*qZz)Ru<iXEQsqu1pVuomc5o81Q|d7sh}89o-?PCL?*
zP8Gk+={^WZi#U=5jlV@kcgK{KDdOtUY68d82dL50Ij+-;DQU`fVvKTPS6WNs595`z
zN~#$$j~h)(<6MlF&*DH{35Xc7E-Zz8)=sZNx&BG3CFHofF#RM|#5F@ty8G<aV8TrQ
z;<D|2k9E99DgOKBuJKXg)aj%|i;<aB;(ZzPD9XC~xj-&P-P)ZR-~W2nh0`ctT%c;V
zn@d9HG{5da=JK@hwIQ-bjzw)5fFWjH#0rh}=u)J?!7?OwyLDiHVxE5L<2{th8o%R;
ze@7R8ViXYX(b1mYn)04edSer~D-$Sz;>kuen?W@f{yFQnIhN;{%8m3hZ%fUBA7hvQ
zgs;3%3Fq$$D(uRRIJ`(vUcOdS<dACpR;6=1*oUU4EnBRLI#F*e{)#ntc7z1_o%4%c
zzzANihwv*U)}oedFxS|1BIoI^rH-1B=n57?DE_M5G@FdansfX$?F?_vflpa_z_afb
zPPZagDYmg`%@K`u2hV)0e%1yFm^=<OcikzrBwaBOs)iVp|B`lJ5oKNLB;E9X$qgo^
zlIYp8=#SCZf|a=w{}?NNHeX8knM@3aq_h6(2%RGhNZlwZ?`PfI&E2Oc{m%2-6ZBKw
zxEh34-mEJS`}pbi68@*c%6i!wzg~!6zsAhO(Jw4)G?@4;iT??`{g=x_IwBTVYi!ED
zK>rQZ)QV`SLze98Kz{46zmkCe?RQp<h!sew>H5#T`1i7n*H7Pj9Y&$@&wT#JhG~gd
z$Jg0we<v>gp89`79nm04VpylmVd;O2&%d|FO$JmaVue2Y{>Pp6|HU9e{(lb^j;qe%
zy3EnRCc^BUl=C;(4b<Q_i36{b*mf@U-tL93w)mxS?LRNTZ;|nzd0K^1m^tX`Ee5Vg
zQwv9J_L8GltRDy2AEdupTQvLq+Wc24UWU!7`s($`+VaMujrxUJiaNI$RF(TeCzP1a
zS^Y3Yy0X%FCa~x3qVGbK3}(WuX-e8<Y@o_@N}hA@XJWRD#MH?7xIh03z`8s;m8cAs
z6Ft5bcJD<jswx<D70V#g4Zcs)V_5F1|F7P#^O6}y-aGDB*sKWU3aFX#Kr5}6b#XeA
z&0gGWJg_FFpX_2rn@(}i5hIf*+cGeqVN11sAzGmmhHTt7FPAtZrl&fZSo_-7<Cjt<
z$eAtmZqlTJh<U5x=$Ev>F-xIkBKJF)Sh{P}ujHg)i0QsCZiwiAoVnk?SyTQ}TXkF2
zEeW*Z5U20=*!{gB-56V>Rg3y0ZgrGvY;M(vzTKuibhGK~6iUoft|F$QR}bkZKorZj
z2eko}?{wtz(*g)9Kl7hiW~78;rrKzg_6Cx=MCXZBdi1Kf1Q6r(y3*R`*91#U9<i@-
zaG(CtX#eAU6}gfM-Mw-10;B&r8ES7(dm^#vc+ov{v&5?Yu6~U*-`oh@Abr@n{Qj{s
z=*ax&r@g%M?08w(ZRTXdyK8wF5g1Va{V(mi+leQdT=0r1uTiVMl0^V)j(UB6!i}qA
zmKYx(v+j1b?>2FsR&hYI?nfpRznB;^zk}T{&xil_$!p$LvFQkF_upT0gfjXAN=Maw
z)?Xf6L|+^P;=jLJ9|t2KKQop!_3>-vXwG*GNml+R?L^KHN96=R+~lcJGXu_xUmp_^
z4*8ijeI<8YGT?Z-t7{p`{YOLkS9brSHkIkjo`9Yyd~37}4uldI!nK71PVviKCR#pj
zr6$@wcYj>{h|{7{2o7&0CVh9-OpHk&)5fYG6AqzaF1cmgn}tXe#yao>w=H))nWKev
zo<6(Lwslo7j?YI!L-oHuF44`<LuTBoV;d~&o)G4&iS%ZSu&9SZ6o|>a6F(C`ONhD3
z?%rjG9174#9zam_46gp?8->l!jpo@QrrP_fP$qzv`_r-<*5Dn}-j<sj`~7yll>d*t
z_x@|LTiQnzQ52+C=^YfLC{0=vMG&QkA|NHw1f)p|B|t<e(gmeR7ZgN#3netEia_Xr
zgd#OS2%#oG2svTD=Xt;T+26-~{(<vb?)yW?TC--&nz?4?S|eeOTE74NcNtIih-+cF
zRjWrU2`_n(xTO+0=z@@&n{W{+Yh3&0Y5EdNCC&r}dY;Ymit4`OIA0+cjJ@*Q@d<yP
z{8j@<I<>#UQzo?WsL0#H;vhIEY9g2$F}&;S_$7mq*z2`UHaQ>?%@Nxs$Z*%k=~ePl
zz?{}$)6D9o;2;Q~Ii<xA)1vjIwAvprVst=sWLMV5gb0DR$97axuM*gme;F+8m6S>0
zN_OYNG~<XZv8&CFT9X1En)T%_=&Fb4KqV>2<hSaYrAIl|K_2C0#A*fh-kH%S8aVjQ
z@RJ!$H!H%@lSa+5;eJ)Zss;{Mi13|-U!DJ85>U7_zC(Gp7T9<69q`CvM8N?VlmiL`
z!aGe@f|*PS1HoULNITA!OMYdJl+=x;?xUr?Mj4)%FPC#B$}p;?0V70BtU|v6wgeo|
z>j=lR%&)aT#LHS`VZL}vvz3<Z`=$=;5}xe6ceA=oXEcFb0oGfjJ%xd4O~Ws~WpbE?
z`l6iVvIL+cA2As^JT_T9GgGqPI}6B2EgzP)ubz0Eo_=PnCCKD%c+qsUti_0W@ZoB8
zFUE3p4H@vlJH4O|0g&R^Yl4ge?;~j7VVXdVobIt;4ZpIZGDnS^)B-|L8Dn=!)!}Y$
z(ID|5RHN9%k*qw1cX0fq?tlnLZwdN(6nv?AzIWVs{V}p-O0%qW1G}gBIDNY-_`njL
z$@y!xuqepE`$hS@lvP$?h)JXKu^!IS`LNzO(D{n{lfVEXx(r?0>PT_legHkoq#h&n
z5QVEbQRNET1|!MMs}0*GhvrH|1=3Cc^h(H!>iI160kW{j$E1Zg^ZZLGdand->Rb>)
za3(7FTA^n^lV2TuXLB^(>!1+6lUyR2{xj&+U}oUKm0-xm&fb>EU5{djW~~LNz`56;
zi+~U0@zu~b1#t$-7*1vt<d__nD7fxAJZ`DN1PJtYm(-hsK4&1)DNXWMVZP-gs|+$R
zC|DJ-SJLYRR8lX;m^;FWMgd)8d%KjmI!>;S!1YAR7+uc?x0rhl_gyhOQm7Ey1wEfm
zh-!rNhG_RU5=z!#*(nb_gSkE1rNP0?l!;9Np7S3U)olC<nan(VNJs`*tHOzn4t4Wc
zj^Q(@Uo>S=%^t~q<JHmcpQjf>o+zzZQsx?LX=NI?+G%ol9ME;oVk>w`p`~sF;BED(
zw-}6$_8!OY-sLeXbl3}sAKi;)jtbpnu%*ILcqJy?o3^^2_mmUP6XhELM{|sB(~Z7%
z=@cr6;4u1nl>n*7ncaJ5{AvY7Skyk(di$sMG^>X#uBkihEM!ma^v0%AGOw>%BVn-#
z7`tr&bE-oJ<k637nkl7)q=cpM8>%g<XS9|>^E-%UQexh1mE*!Xh@2Yo&{D8;a!Lc)
z>_uEY?tb_2kYk8+avC0x@^oQ^n1lx$_9Y~<ti~xd4_~zsz`oqQudb!2j?VN(*0qwb
zo@lvuj#<7>P*o1U{PDE3u-7>h4vuBMu3^2~r^>P}Ev1}Qk)O!@Jd?_`zW#1zC*;${
z(<b$>7w8VYrtWrkCqRwPkxXl$!<M#XmgB(?08>t^VaG{7_{D7MY)MDie(u>>njxQ#
z>`q5+8cvq%jNVC>4SB-X1@E;uSYArRJ)<nt{O*l%*{$2rWzE-7oIGQ*hu3=Hs^D>;
ztPemRfy!FOj5KmQ_goo?i_+XLOu+4!9yNJ;<d>npl=`n8Vl;CwMYF-k<Hqeh^znf$
zVgx->MMP&eaMlDg-|Yd)WqS2qwhPK>DZ@zLf>;p-OlB#W<415#Sk7`e*fBIqvuu5Q
zNAJ3L_R%BfK%V!aH15T*XP7&>6x;)W&gd?%HM{`biz+N~L2pm`hJOQ3tEEmyV<<-I
z@D-fb`;{k-?{M#6ELFLA<Cje}W3%C2$u<FgsQ#!`9W#Q56N7x42X~G?VrZL5(H3hB
z>wVP^9b{76E4O>&eMoyvK_dzy#F=<U<ZLQDg!MaFw(s<sLO;5ty-5|Z<9umn-K1$Z
zX0l{k%Icub=tu!O+S)QzMcI>}F2j+>NL9m})VM%v^!BgdFU$xuuAE}Hq4T}nqt78g
z=S-=Vbyzu>e9)S6_KoA7CBKdJBn}Wvp4EgmVJMA@80nU>tnh8$rc1{~XkUN^0ged_
zEK}c^#{^^%edYsm)+lZB(`xrcewZSBaZPMI!}_-;)0g1V8Og1L{OzY5`z~5!@^zXY
zv#2x^4sdb-#M*Ojs-d^Y(HH;V>rq*ua~EHf90k!2S{f&*3lxA3ePT2+kg^OT*M1E&
zp@Tn?e7}@?6@dCkdt`_M3vB_JT&`Zd-g_MrkOTUJ*)CuIkTc*=H{jqH2;7PclmYub
zFKjIXqqnOE*wNBIOmC%kwU_J$PmZ8T*P%q>ao|(;$;&xwEo5>l{Y&eF8?_eD<w@KE
zrg0$IFR%<fpmng+nB5O6LyznzG!xA~Z3m14;d*Lulwf|IQfVkNazqMVDz0A*?ve#%
zr+R$yS2|er$CTD}x4t8gHPcgqcD7Sw?+3S-HC7>VID4x<I1WGl3SHURLkyc7>RAL}
z)b)W|qyQnF<W|E+p3QN`jl<CyXw#gQ*6h?e+3K>a)exOE`m@czoifuf-HV?~CuTI(
zU2RK$(=4B`;%w0@K|N+Q+r^I$6H?A9?}ILyR&WubY3V(TWh^+Bw$I<m2;2(;gBIr^
zZ>`@xdP%c%BS_awQnZAh>M&J1Pjht|F(zTk7&>P4XeXX5nPyP~X<rlhUESpvdp2M5
zrKqOe6M?aX!fs6>CfPhJFKkS^&9Q}ihUqOPrhQENnJ*&crt1a*U&~-VedmcGmPBr~
z&QGH(Nj9iFeVj~QWj-K79-3=7k_m;6#yC5R3zv&7Q|;b$X<ecvmlepQ(nJ<n!onaF
zPKo&P<Wr+G#m`=u8>v~Uy>$aEF^4pFfAV;BIQ}Fg@4*GH?X;4p!R>uUH47@6No7*!
zbAXfIXO7LF6^tTBHspzV=vtkx^%lFqS-_p#<&Ub66&v>_XG25Q5sq!&zWQIe!Lrg5
z0^w6HeseR9TtixO!UfbmAi_ney%vi5T^P(76!rT9shkPf-D}NwGAWicHhJ8m1uH+F
znCAZ?wO^J(I6`5XA(c!+$RwIDAk~SZf4v2ckh!QO%ZvcWOat%}cGz%EYn2LzBTB&F
zYDn>CB?WUJ#|JbmwGte}>%iGXHvy0+fVf^w6IkkZHimUk=qBBfs-?{fmq18;Z&a3D
z!p-CAm+Q4Zhjzar$xbOBtKzRxjnS+Hxdw20#4CipAgBtgZrhS4gx`SxP^4W$(>;Kh
z%=RzSG9^QptN?lGN<d?`p@3Ogif)5YMH6*__xGXQ<$B0;SQP8c_VVdwYFp3FXIgUd
zgin$D+_PxEenmtq&PRCP`sMet*ruHUmjunj75@|3ATA(!^M^=6Y#t@(08X9oJZ&Yj
za^K;1mTB5-2T@3n6jv$Eu~N#?Ath_+LZM{BruDebhcT&4QSa_7WlA&n1>4F}Ydv$O
zeldjzaBfJt@((d`iox%C&M23m2b&~H@5@*S2?MMH<C^`B5>?CJZ_3ExyoFXy*qjzV
z<_2}Ko5to<2~<^|IrvT^z^iSGJARLE#FX)zwJA?!T5LGl{-pyxVPAq#V$+`K4r@c9
zgzY6E8L*$x|CgH_4^FHXB#t5A!5iKS@xa$ILWp0-&8BJfL<-|WqZK7A%zx!lSc$kh
zVZP4UA>jWzbXk%0HDC9<l-s1lUE)xEaarRx<`nW~Bp_BTzBwW7rgTDwlr+nKjTile
zPU1!3G9aXBDa8W0hX4XL_V?O7U{Tm}P?+Cg*)tqh3ki?v;p+ySsh(404@NrQW=U;5
z94m*yA;&v*m$pBU)&;YNd;eRoRcUY%Y~2KVRAhC;f1y^3zwj&m%Q=UMtC@Tq_r+3t
z{sY7L_s5=Vq3mKToGa$7R4;mPB`@WiiAN(rJL`l1FTVdqQP;!$Kls8kFy$NFYNJ8T
zah89Bm;NI@Yx80?gH17fKKc)I<v$*mL?{KM2NQ*h|MC8Bk7giBsd8%bh57&ZjlVxi
z3!LDBJ(^<wby!s=$lSU<6U~2H#%Bj72%0AT@?RVq|M<r#S(J`92ane(e_>_+F6aOK
z{7Z)d6m3@;{`}uJ|L~z=odR;nf>}HN8It;cr9tUsqR1g3Snsc%yT3{4FLcd8f+Et%
z3_*r}L=gT8oVQN^v!L}yUjHq~l~y|u=?t~!e_(Qde@scB$YIGYC+WYzc+VzJKuo;&
z+cW<#{r?qUMbL>H1c)Da|C=uUGN6dGO8FM=UsL`^IsE^s^*`K>>(t}2FdE7d#^0bK
zTA%>DL_B>q)`LjE2G4fXVo>R|n5P!i%V|3*41YwP+CH&Ry6V0zCV4EeaP7`%$WmDJ
zTK4Tx1U$wKR}5!-x-|nmel3NHaLaMW7^wLzjcX{<{Xv(_d{1ECMsdS%PSFYo5JfzU
zaYK;&YOE5DzhS|o11P!(b}nwe6uO#D{(_yYwNrr<l}-n)RphI9xR}3l;Qt#8{%<yb
zmy`031vvZJBoa76n`HrGpc%q@{LC~t9~-bSG#+94pk~jpRuMDc1mkb@^FQbmyoj3~
zQwmudx6#=O(D_yR;m;(UI<YsQTKw`g@<Hk>6QsTlZ1e1q6>4W)#El&9hdj>0F=%aV
z9!Dv5z@q$`rtz9&GgLEaW=@f<oG)Q42L4B#-(;q2X~1hy=Hk@0V<;gRjoQ#ThGJ)%
z3ri=1+AH4p?|)JS*eZu9@+jAl!1$Wra?PC<f9dTvjxvAso&9|?o>;2i{-R8Y`~I%A
z`$3)OOQyYyE&P@_k?Hh20O?cZ<|D|)JvTDUgAo=B0W^8p;)t4W4gb887Sc}odh565
z59h=y3Q9FrYoNzR#dj0^$=TDlPvdaH?j4NC+F)V?UpKC{*`r0FDQ7<$O86pyYEic4
zU0|q_sO0?PX4Z+J{PTQm)g{W>jl19YQmR3EZG+fMpBrO=bqjn$0h)|$0ipi50m7_d
z6aF)FL5FMzULcbIsCYFp7)6|a-=jS}Z~sRdMxnb5d161W^{ke~%nz^awzD_u#B(md
ze^#W`i3kLjxvAK=Sb*1VxZ#!`Avb(^P#all$PIwzAYOB~dK`pvBKkEWl$!8b7BF9?
zG(*kmQndxvVs_x#pU%pcyeAulSLvyxrZF|Xu2v#@T*)%T8>P|Yy^kf#xZs*ePf&Gp
zvC!kuU#JUc;FMBM;1e|)csvx;u?*cA0@h8#DSNB=zzap{^guO^z&&_mh(V~`)$#-o
zg%8GR#v<r5w>0Qark3Fh#bQUEwtY}?k*dQ&j9bHRw!&gR6a*qpNARGk9W%%HA#=4*
zLR2Z1P9h7@64>R7?cFhS;W1RH#G>{<sJ%@?WHu-8Qkh?^hU`%#HW;%vm&}Gi7Pz!r
zYnt8PWr+3TLF;U&3N~E)!~RyeOF29>?{W*fO9Mg`-)J?tz_X#jOyT4nk@6a~Y~YCX
zRDd-MljU35+*nN7>hwdV@65Plz-N#H2aAr#aSMFi9@<j=ZAStlEDHDn3=Dx{Ll!q4
z($0`KEZjP@5w(hMjG8t+Uq`0jdTj7##kEVM=$2ij$^1wav;X2`DvC@frioZ+!B6az
zLrZza>kKDsr|`94fxx`d>E>!|5V{l(n0^@mTik(6D$Q&<c1TI^zfi*++(HE)X6XU8
z1Pl~2q~V6JYvls5<P0fUk!qo<*C9wHYtYE1oj(t9pEkNF#C8&?eD+T+NYDq$m=dnt
z>$@U$leUFi#EFD7?94zH#*~ri&0r+#jY?C<bmQFYT;w`_-5uU?^b|(;iAJTCHTW<E
zD?=4KD(Bi=Q0Z|JHT0abqj+_qE^23yG9*?AS6Lln-lk!s02DQeZ$7rQ0QZ_NFrrEU
z=p>=?PpPIxCBtPYFaCL4ZSp56FZnTE&*wKTymJMHEMV~ycuu4Q)ZLXw*~1k~zzTe^
zl$DyP@w|<y1$%&ZzaWqq9<3UmH65oeH9aQ@vO%`jwk9BZSKZL0H|LvH!=RW?z}n{W
zmeCm)8d9SHpF)ghgJw2qqbcVN#gzFvTJ5*o?F$5P$U0URuK(lt&1ANBa!?$~FrCtF
zgZE~I43AS{lN)a2jE;n1>?HVR+n#GbvKBjCH|qwNJPracWbxq~F=uDyYS~<raz>Sc
z*T(01FynQK9i)L-@*@;s4G(pkZ5g)?u$g#xG`!yd%7~=MMU7%dl#bMnUu4G|)$`H*
z)u-~mKFMDnbWYry{2o;?z6I(Z)s7d1xAxH4LmPZ|eow1`p!6LZHa4>r`Tm1%QOLP5
zRvyEN2_<^mm1AA5vkSK*HRnD<w}yEl=-XY8NN*V);H^sBSRpDKo#P724tj;0!XMbc
z?z=lt4o_IA+Fs@ssY{?T_3b|khNAN-wA9Zft#m$(vN2QjNQRCWB8SVk?#xGKUjiL5
zz#?>_{F%T6dMf!({yXFSSSa1V3yJIsX9N0~*$Ykh&Jkp{OY5+b)y~pfGAq0$tCeU2
z#+5-_VRht}OmT>dJp#yhHGFNHX-KnM%bdl+#)6`SK?s?h&7~*!m-o7a>OVw%|KlPv
z$e!4rRL2rNG_?$X+=tIOUPLN6wPSG`AzwA*j^0f--eS^p`LzrsP7{!*H!qJCe|gkM
z0E3!?my@R5eih8svQ%3$%dc}-SH~yMDX&o|7?gsS@zCRT!#WMwV|^59!UI*-gL?ta
z0heGyj%J|bW<EEBh#$ph0LRB6+r7}a*M@O`Fv78v<o00{v+ePpvb`#{C;kEzk~E`%
zYK_4&xr+X()M;ZxWGS3)SGGKin&WE+qYiH^l7=e0_gN)8+$3CQM)~~@yYM||pgUvp
z<_qFjzG3aJ0YI@;D|TwKJX^)6nE*+1pEl>Dx82fqTVPkNvqD>`HznD+plVNCon@B}
z#%Yo(Q#AR$1v$zBxeN~h`}1@i-jZ$!Wco-CXAGHeU-3A)|7WY#q5rHarjr;Ua1lkJ
z$F8{S4MEj7kDT^I1VcWoNEw(ZH-Vw^1%qAx%IQv2=9dCnTimAVJ^g`LBJ6IVvp3|3
z>8l0|bIx<WniG;|<uz~#3n3!o+;%pP=jvuqV=WNGZ7jGoICr|0)PNtM$#F&Jc<RB9
zj;`NLG^_haYQAO8rxF`A4yEUWJZE|xd93)O1vkCJ=mzIuWX#(#ahpY{MG7<$x6Zrn
zv}kmw#Q@YS8Hpbvt$wys>@~kztlxpepVfykl>I78D<ysVuf*>OFEs^?zW=X$?g?RX
zlLZJ!X=XqmPgs^UDWC#@;cZhVP<T_D(`r<P!t^Vz@x8vCl3zoe;AhKV3PW{IP+_K*
z-oJ9k5`crBCn>lm!<h+>sO+a%mE5=zyixaPUd;8Zf#`uM>U(P$*hy1s4*>Wjm^kIY
zSp&E7v_WluXPn~GRma#qPK>l#!6;pXMU=Z{M1<74@7utp;hIQ%^X?tgPM?Sy+&h8s
z1_DaLwOsE6%qTIy;tB2=!7J4+sK%>>7iX<YR)o}Ip3eVcI7xXKFBi&Qs-i*K9l;8a
zw**ip72TkpVyQJ!<xO5}!56+$&*zZV9kKCh8(e4Y)Lw^M!9a0pvE;S#<8N6(+duQ`
zABaLb(&~?T0LPWV1lX(_VHQH(3_;fMgdUvazA0IS02l>+K<O(_D{N?KwqrSVbV6@p
zuhi9Lz6@HuQCL@Q<!4Sju!Glt`9r=<lY1y96nTl%;lAyQO}Qm$UH5r<5r>nuuJ*i-
zQdwsMt%C`1(4CeXXqI1aD;BaJ4#mY4qA2Q9fF&P5+%wAee?jrc@;Z{^McifU)>7<j
zb!{y@Pl6Wq(Vt2I+Fl4%2y5HgZcrvY%uj)3@PoG*Yn5mG?WXvGZtn6>11ag;F3`mj
zu3&dcGQTUWyZG|DDD?V%9|gP<+^?b}oDHEABJx7!obra{bWg{seI5RQ&nL-l><k#k
zxAPNb(-AQ?9Qnjm1LG@VKfR`g8qjPeEzz4oDWwaAB>Yez$}a+8nCZ8j0@`AN%s5Nb
z)>hBn*m`((xHJF~d5B~+^vKZM>w+Fn{X#8U93$p>)*}R<;QdrL!h0~X48TyHH?d`n
zsyP^d&K><iWfubw<5q!o7S+BJm6~KePJyek@_&p8<RaUmS)wikgf&w-Qykgc1VZ-b
zK<yVKYADqf@p*2|%4Vu+5m+X17RXi%(DekQd;7Jsjpcj{kNo~tkAQ$56S!`Rf;`Q-
z!?4gHO4xIBOlTG8vMaCKJiMUO-Yb*~7_^70INyiuJ>sOW?ruLO{(RY_arAatR^Y%6
zw%qQGazj`T8%zhb@1OC;;W(}JNZ3dG)^eWP<_nc`c`oNF{VgoO?NM*es~=TN7sKmF
zvYL}hEjv3<{NxUDfKQeoILHm<e}G1&_ji=dpYOUKnyK)o>C!QoJrwpF+o1rGyg-pk
zZ}b4DgI+lnM=wsx8hBQ#!VyFd{z5%e*Z!DSX3pFi1PomL0-~&CEuBn#ZdDD%5WuV`
zudtK}3;6K>eaB4lbu9xJMb%?Db%yaaKHlLUk+b8BfER?H*A1Ohvmnd4TscS?-jJrv
zIkdI&EKkVj#y7eFZf)Ck?D4I~*6Bt^x31XYXlzIgsWtdX0FT0avm5*o#EEDf?9LQ}
zfHrp|pt0cJoVRKCx7VkqDVsb2;mRF0Pn-X2{kgN4DKs-dfa(&V$Iyb$z_1o(gzj)w
zgPv?|eX5VRgnp2@d-<?z3hb<L$a!9KD#h*{NQ=m?1OIAk(!BqU+A%+O=n_9!N>5aL
z^YCE<g(|1ctw(Uijl%676xVq|#oxsLyPvU^DRd&<t~~SIOahAewX*xv#DK~|?3T`o
zfx72J|G}+6qnTUMj1MO^=2$)`d(2D?+(2jIDK+PD<qgk>FC){rUMTw{2iO0KYCfQj
zJ{Z^MK><THkWfF$@8v)?f8pC>%4>mcfsNA#zu#kPSnHtP2CHGHgJsPl`xRKQ83a#p
zc$JULQGN&gZa5csoic<x0!1eRYxl|l2t0)Y1Zszd{mcI(S3!^a=#Y)K%&e<5aaT4j
zm3?rrYw3pUeNQ&78?|$$-aYLG>>2hF8`BdSglsr6m|ZSy^w;=SO2h-zO^r(ws8(sD
zO0`q1bAs@)Sz~&7ALUz<p6(1{j7iS|HGN`!1~f4ZE-#ap*rH88=(_rC;z9_pt;n^L
z(*S?M?Hg1sH&+K@Hbo0EfMqKQ?5v4Pz7yt6ZcM4og%jY&<|M6mIs2G(b`H{pUEE4C
z$MB($8kEs*(A?+4$>kFT33o0<qR<N?*4R_xNCvgnJ$gq(nOPQ$3;-942S7H~@L99!
zgCX)wUh|!Z8CM8|(BU?+DYNFmh?Caz#VkV|S7;O~1=wOdbvBKT8&Ye1(N;5f+|&?$
z!yEx(Bza>8`3S891JuqS90m3x&AO2S>Y(~Lq!{SI^*TmpSso>3M%G@WjoE$4m!yuv
z9j+`$JR{XIhn+Rx8evo&nkm5DL(`Bv_XRXg(?=-dE9+XNi&SVWxu{TFz@bR<wL%GT
zyhjc-Ib*|aTGI`nMp_GeZ4g|5IQYeKqmfpdkWh2X$7Fq*y>SDgi}ynFa)`o|L`e|U
z!8-83t;vW!4zggqdC6#}O)Fq~eP1Fs%O%c~JPRy)TFR9;F)(*hNOVF_zu-R0<Iz-k
z0<2>X&^ZEK(}!@5LGD+-?+>!ez}Blg(G^zhAYo#q+Us(kkU{rfDOVS0YSp<1Aj9M3
zWIrGF9*zvfuhRl$Mr8BN-k8Io<_-t2FY40qj>Am`fN-4+HUjF-WQJhS!Zgl>_z!~^
z%Y7$m{Y+6X2z)=^r^BKgl|Dyyr1-g&SO_5tkI0!EH?XWOC*gmlA`Jy5W+Em)%gc(`
zXm10z{0C|ewrTjzLC&%N4*ujfy?N#>m{6lpXgz_S+08+g6}JqHYk(mZ<k4xjj_Nl~
zn`=C7Xk5rB-j#gY!h2lXjnH6Pqk#_ohSem!*EESR=^A*b!jI*v5&8L2nn^B4<w)#}
zY!%BBfzZP~FZ{>l9YLEtrmr{J99vrh^(b|ZdZN2}*K^KXD2}=5X0+9)hKUOsyPc~^
z9NVW<O7%OE*PIV43p9y)p+{s$vf>fVSZQ2ndCTEieUYcHu~~C%!R2AzRH-A_aDyd3
zZ-G~^|M5I$D;MP5#>sUE#L+@c#TJ(NWK-))XH%?yh;6!~px8F$>zs_RcuLJ&yL>s{
zcaFJ`&jV$)IDT;!I`Oq7+GfeNgr!}F1}@$rFXb`{S3AA!+77N|aAulhfNF5;@fYXL
zX;~@(Aul*WuVU&Lv?@KeBN*4eC)R=1T`iQ{oFE|`CT=|y4a9h~wFl3PKWuuZvl?6I
zm_4CXHaT9#J7ZCj1;X)xj`&J;4v~Tk<(C+Q@iYArwV>@uw~-4L$cUISC(M9mYw7g%
z!nn169u|zD02LpJ$QeZ#YKG3k84TE~g_5@|kjRk%2sx{Z7?E|Jdf_`EY$4_*dFcr*
zpc`Un=Kw@Z0o^v#%Yh}XEXCEJv11cr4J6Tw4{dJOy!?9X*0a5FFC>0!!`Hgm{)tY1
zp*Lhq6$=!7f)7wVE`~ajg)6Jz)!h(eh(le#SXuY6R~^AqmgS7Dv&0&uPc#dgV&U!#
zJm@t|CtM(&>#lprzLu`LZo*~?4Bk6^I-p}S{ghUf$2xY@21m&na)sL+V5L(c=$+S4
zeDKc6xx$ARdiSDf;S8om=UOqrKWeKNUrqv>LE{%K5w)hX!9~-AQCSq;Pv8Z-mE;3n
ztOcW1GvLm3*8BbVu1Bqt0|L~DU@%Q3XyT!z>}N9=$RF5Of!VJv$2z5wkALF31qE<3
z&2`fUi@&gjn!e_0gd@X?u=q&Ru#0YfgTh-h^m&GBE|gnQrUbV)oY4$8HES}tnov;b
zX=R>`2Fy24aNd=xrzQj^ehsd*5BT|@5L=UFQCnRt9-4mo#b6ra^|oEa2IKYc134}Q
zxvwuSp8I;5mdnR<?=gk7S7yLVb>u!WMcO>3)|jU&c((4D9NuA|Ve$QKg<2!w%SoPP
zyZgd3U_uKRqCBtN2{1S^%%%T0&mx-1APR2DbDC%VEWVN<9xXRqa4wfI=&Z#j0cbC+
zQ@EJk=s=Q@{uwi9wm))a5tqLh5SNM0$)^c8K1hG^_|65^B6S>RJi1Fn0RF37Du{%Z
zl|6WB^yCSMTq`LMu!u@K;BLct?sK<2F+JjM^FQ;^Lweh@Nu8Ye=nX`>yFt!>4iowz
z%kWhW+R}d`E=V$n{@uasfj3-a5v>WCS#$vaIQDC2_mf>hn10|M_7cfQS&)#Hop$EV
zCN>U^_Jyq<wE#nY7InhWjT`_$j3o-KwB{zuvJ<&{d>rBf0)109Zd$(M)wHP@FS;DA
zJq08mB2)r*zeaN}D_aJgF8lh`NT8m6C_E?ZuCXeIW2~}WkTj8LhfaaK{svHUDLi5B
zv+t4ZfEI%Q>|uDgZOG>4)81;<XNb9v6V&bxtlGOO4dtr_6C|}+;XP<(eH~Bdb?=E%
zgLg#gUX8Jew3bVFvX%?qF~ZMyzjX!>bD!_b$|u3!fQ-DuC^kzrH`jpfo;T^<ilfp#
zVh=_#dR_~sftt_X*Ot0AXD-^<qBTEo>GL^v;gMN}=zzPnFU~&=V3q#<bR`*f3iU{I
z6b$MdZokeVm%S5YHThOHH@gyS9L#!tbBf1<`(Ue$puFw-oHatU(Cp0Vg}rR_RDE;A
zn%9bw#4}4mz*RWOP4lDSP_W(c5|YfeNx2k(!C)Q{vVfE=C!&J15EH>C-<hswD5<<~
zBZ!ApZrReBShpprc^eThLm#|-DLr8A8_L>w@$FLs%^nwM>~D`L03`w-K4A&6acGm~
zf^2@L(PMgkKZ<g5(btt&%B4M_Sn-LcujyiXBG5c^{YUeC;V7HaX`Grgkm?Sq>zo|#
zZ>*(t&EFKP_;f53;nZ(;?XW;q2r_=>RhLctd4r_c&Am#x{m%qM{f&@I@>S^-&bwl7
zmUBD3?@eVj_1a_z-a9w*6cB_zHD>wk7nD_<G2ESIMidoA$462Lh6x<D3(J5Qo|&3l
zwstCuKp7Zx`D||AcGf2?z6lsOusqW38>C;5I$!#g<tcLj<0E<EeVZ!eDLOId%nhBO
z6{WnoW2wIED|)U3#|j+eOd!@;HG+SnkzQQY{YHt|SSr9G_2!0m2nKH)2u-9OReU8Y
z{CFR_)$J()zwGA0N7aBh6@Z;p-KiSVkY85yJ61l-96lZwX-haG(~xi`fZV#b>?{)4
z={>OHA<g5-;OvcIe&<3S&v=g>5?Mgzz*1buJ84n<015aFAUOve<N;1hYjto)OzlFQ
zp<$4epE%Vkgp^*fZt{PqecVDx+COWxRSI2RnaATn?A`sW-^W>{6}%r`lPFt=x_tF&
zv+RDAF7L&24=pWY!Gw*=p=qoOTlmn>)5!`6+IAZ;b2hHKb|U;wc_#69cm0Z?ANxc<
zs02AL-k#{!u1LS<^rc-(uDD8-H!Y#x#@6!#HF7D(f1BuwENsy<dlKT?A4}R}_YZ)G
z1k&8ynptA_#@a(BrQ&icW3N(ObpB`oIoz%tEEx!C71A&>e7$LC132O^zU{}{dT@z_
z&%l1UFtHvSDjbVz=lvR1J11CDDq&NU_rumb77!FPy+Xn-Mldl^Swz0_Y*wC;bkEAZ
zXBhU1X+n~!dnY6xnF^|tI2~Z=3J-X1O&2O5_DsDeZtwm0`vs8F=>YZh^#iLLjcAQo
zl(p#c+bj50X-P>VDtXA;=W{9Fy&k{x^HVOfY{;v}&9(}dn3%l1oBy@6)Wlk#xw-j;
zfJBQO?0gG+4~ay6@Q~Nx^PbxoMIfX+4|Z2a>U}XO(R$BqK4LbHRaxHhaC2|ObbiY_
znnY5sY$bhuJ7+IWD{-N@<mgIh+Huuv#m6A=_NahexL=+}8LM?hg0z4%p~qggR#ju!
zpk~xohNWjVTqF&1sXNkMW9#Rhfj_U(2e$guJ4-}G1R>(5ZRB$GnHFQG)7x60`sDqL
z^_JJJ>d}k8-Es-{w`KVSUF^2u(1~0co;!lpv(E3v!`dQP{AWD4lzd(e*HfgYb@TlB
z(?WvO6v6%LLEV&!B9Z5T(zM<_a<X^jH6M5<(Qv#x;A-g)Zw@!iRxip+ps)-9=GP~y
z_cuEj$KU}f#`Tqz%&xa99pTx;W5^Ug%KT-RJkLE~YY1PejFoZX58hi%emHCPpM68!
zK{A(7Z(cngf4EV4*XsMNK5cYj?ho5I`nN?Dd}r@>$3&go?FaqtYoi%-a<_<KcxUur
zW^iqG*wST@eTqrCvyL#jV2co3=FFGW6WvnI2@2P}77p2&Ubqis{buDJe1=x%>?3(|
zz6vD)n&Hc7_oNNr7dzC45_Z=`jqTpFjWOEHi-Kr=zHVoVzQ;r(t6<IF!1iym|C=bz
zhaL%4h}^NwmbuL~kfqA;=7!fk<r0>ns-)lR?<~za_lP9D2?yEvqN2+VI^S)t=`d86
z%h9z**r+4qk+QO~J(Mfi%GSK9RAn;P<GXBTB&aI2s+P!H*S<!DJ#5WCA3k9G;Htqp
zMo-#CZByX6&(+RVX}VIg^9TFVlg5_q5A3PNW}c7k^9=Di-S)k;aK`Sc)b4y7Nk1(c
z*twc9z39Q$vDfl2b|7r9##OD-2G6jo9r4gi5;`g%3ZK`rw__Fsm%l&TRjBI|61CWN
z)&4S-<_#oW7R#)8FHbIFJ#<+%e+^h?QzPc`X9;BKKkK119O=IoIwx?$Yw_3}nlDEU
z<cOo6o7fCgz)zP~%%7u!_xJa|2pCqCN`D8lc-@x7_3fk2<3P-yalOEGQ5HjO$<sn-
zCtuiKwn118Dq2k%e7<%$He6>=KA8UAhzdhWOWY$9kGb<=jdUt{D`qs7PZ*mR)U1&v
z2{S{Nf~M4{9G#eh7p~WjYEYMt#2e>;M{Irjvriqc(XhEy1I`=Ss=e=s8U0~pFXH_+
zc<+8%SzpIEo^>M6<I(OGogC_?b$GXH)sU)=&kV~W@vQ$_<NsRo2_`DFr=r$z6CHPc
zN4fz^>FrP>qw;ILfi6sgecVr}z;l9$h&w6FIfT|oa5XS@+?&g{<@txk;@?&E_tg12
zK7I!ZW?$0zRLU;0b9>)v5x3=x^C&t#&3hRVm6AFK4SZ;2`Rb9|-hOq|<)ERNxR$6(
zdiH*tdtXAtSUg^o$XFP?n<!>~_fG#F))m|uw|hrm9-AW^g1I=n5Ujg9eK#U6?$Mb#
zo0HNwkBHjUw5rl~ogj+^&nwM;np4|dmLF<~{vtMdC{)5JBCWS@;}wrH+UHtBg~3d$
za{}+qYM<&V6Qo@auUG}?S#xRye|PtR&wTf{Kjpk#VEs07P~MlFHAW;Y0sc%~J))qU
z<AeWery|<l5dS4MW9Hu@Fe??qsP&fh6&-!gPb|^>8SGzNG9yLutTbPp2@e*No6M3M
zg8CD4et_~Ae{NuY^u@QW%iL*v{)z=PX;Y+@%QEHGYM#tb_wNSiujTmHq)NhHz3p`Q
zB-XQGL}f0<rpylgG&B1x=&in-RK^9ov{LWfHmAHCB95*j=UZ^~&}I8~?XEs7%H6FL
zU!VLsx0qh`Nz0o$3-U!GH|Ax1C3UJ!B-6))-wBAuxq`(gfGU)y%i7pQx!LG(W$%5*
zh%bTgVXW)9$vzrgL&75kPqtMf#$meZ(d(-3q?M#=iKntyw2ZF-IFi5oZIpj|SXZaY
zJ6vzNk<48B@l+S<dm8GG*WT?HYgB>G9&omnsM(B_EIxcN?{O`5btTNpp<ZpZ-QS4?
z$Z#CBemTNutt9lzV8Ww*hNERmS~Tv#JH(ci!Xqje>s6DA711X57kMg*KfY`w?w6)2
zw(rijM)=}fbm{$!jA1*vAnQAUFJ2{01&5CApW1yUB5eYb{N^t(X{5j`%F&-Ze57ko
z_2}=`{@+IajL1YOTq5=*@A}X&RlHNw{s=SP>vY%>wA|yi{m>+neD9`6=)uM=J4@_{
zipD1R&UFzLljH0DF~vsQ4{ZIVqwqs212aW;Dhp4QnuNm@l{0@Xhgm<R8MG~WAv8OG
z>VOHAxbC8(bV;WQ&BB6(Fy3EKtI%mF$2)6}^)C3+JqY)?_2<E5ou|}G83=y)7$n@5
zSo2E1+77ttDaKH3#B12a{E~eHM6;n^yRh7;J@v8ioRl_W-FkJd+=`B^W)xs*{pOce
z>VEc+G)2~^-qCE@?Js}~>y@dXKp4;XwCuzAM!nB>H-t2<>ptvCO<Wm%$NlBUyc9%~
z7<JK=1}I_E5HbS3EW!4Fos@scZbF4hn8kzF!a1Oa#f-&!GOzvCIICqzIz7#6+1!Cy
zt>bQ0+LCZxd%Hzf*YCDo-1#f7Mg$_Jv$e$eyOWFLzBS%fdE$LaCS&17lJQ!NYHPG~
znQO#H>h<;cCOz9!u{pI#RJ=Wz&!H$WJL{G8^tr6O{MsaLz1OCPyhNEojz5mejFB>~
zavE*t+vk}=uNf-#YA8mZrJ-?2KUcibru&t#kOpnzsgoN}@UC0%@KM&jp(*TglFDtZ
zt&pY2KFyx>s7#aW*3pYP`&BH>QC)Ya>Xxsb3$Smq{}kr?lUjFG96rypXfhQ!`rDyO
zEWW)Fty3WoLQ`NRVN>PFqUmM&<idthU2DeMy9Q$a>s<ULvi~typ?vo#DP2Cb+G`d4
z;_ouT${KS|htLEZCAIg4bjg~whSQxvd%EwlKIrifv`N3orMwvfBQql;{65wC3up`H
z+>9#DTpIsUhF&QpgfGPLKaQ7l!=JTLJK`vT89ZcxS&MFDYv(Pf8{3f<P5WB9?$ugJ
zNk?*g&0Pf1BzsiS-WYIp%!f&1|7?ELc}_D&<;3NTa!?hsR6L@Vm%V#|V(-T<t12(F
zeVG%!s12)l_p!%p(QxJI{&|rY4<WW3ZI_{2)Vy76p{^2izZIH50N3Yg($A%w%P-|O
z=$kp3*jFqwQq`<D(93bMJ@l!J8z5a8exEPO1-uiO$M_s5zuT*Xbd->a)_4rBx<GpW
z=<hQ7cS~8qNf{j?=5r0DZ<Fcw3NW7bNz|$nkX|et4BLbM!1*aZ?-{VM-=Oo4IhDY#
zjp)<Y^YUYtDW)m>HghYvj=%CTHBGNU?$5f&`NYe@A7ih?+Sa&HV&huo?g!bN>sdD9
znAoRPU2=(pJ4$gAV-O)?6weQ7vv<~Mw*%dc&Fv<fbHd}_bZg0vU5{>T2m)$f@+Jn&
zsw8;kQq1;0xR(E#iBbl|qG#w^4x}nmUqrpN1kSM-p0@T-du65`KCn~Gh5JJ7xASn+
zB#BU7#MoS|{K)~k;*%nz9fcca)5tXVBCiCXE$>h8I_&9k0x#Gky)C|D#p0vL7Z||0
z-UGSVd@MPfZ}nkt<D7BLXNhx6t-&0tgBN$Be^oqIxV@8lB~+b<PJ}gGTqr;*sy`)K
zJX+m7bdo|)zwztRUmo!PEpYx5J?#-rIuq7*$YkVMQy_iizN^Zlabz_g@nu0X)6RRF
zXkLR)pX*OC6w`0{a7|a&T~6{(bQR}Ki!rcy9zwf!JpJ{)LYu?RJ9h1JN>!hY5_^9!
z|H6#?ima_-J8-Fj*%VC{r#!IdkFv-Sxf^_!;2=ibQ{I%Yf6yB0ivvm~*v4xO^d-Dc
z@RTq<1EgwX#h(F0kX9I<Ijd@Mu-pF>I__e8BZK;r)GIDi-w~Z*>+@m}Y8z^Gt*Eds
zH@dVrM-yowf4%N)f`|SB0eBj+)qa0}wK7NOLqlYFx90b*Az*H>aQN1yAWIQf`$s0K
zeC<Ww^)QoaTi~j^iVuSHb-uqk*DPJXy86`kba~qYCGIHX8Qqy1Z$^K+UF(_%A2lkh
z$~AhzUL-2k5R-V*vP?K;!4EFQ(9}Qd6Du4Y9Notv6!7`~miAxk;HpGXZ{>{oOxf}a
z()T)Vwk@=6rRW6()bT*->B0)Gb6xTky!5SoV~u57w(REpxey<?&ofs~rk$ViQyH++
z-U3|=?`11ynP2^yzjaBh^ZxTB$whlVZi!^nlr4zesB<$U?Wd)=tn}?9;b_)o#O2EA
zQ`Z(WJ`<B7<qudh`kKaV^c*GU{b_%mt{Tg|;~%I^*Ct#!!RoQm`E&BGG5+W1-`%EY
z3NM$}_15!}M4G+G?&gviZsCo)Nk)N^=F%Sy)F(_#qSLo+)6g6*eZO)d57>^aHpQCE
z$Qry1Av_w@ex8B92`b9_G_hf7l2t0NeZ=W<nvJ45Pdi>d;3$0AbY$^$Pf_GHe|H1_
zkBm7h*Syc5z}%!1uN4#6Ga1Rd>xVsT`ctP_wbeVC9wf8=9@2k5c0qJr7al8|k$c|m
z@_z<<|7ZB{WXiULv$tj*1+W+mFFpU-E_Kd1bNE}v7Re6wDe>(g4svigPlQ#)aZFyF
zz5Dx9{YgEAv-q~>(EO*f;l~XIv7Z|~T@G0emvLG=742?2#=-PEiRPP?{1&Izj;@|p
z(R-5V`v&LrS*~yJKE_6MU;J9)S$j_L#Hg-NpQI0SOAo#6<@qwK(?X+yqO0#A3!{?;
zQayg@{n;b9eu3f<e5_frw0M2$?7Xe~$6Fst7+HKIvU|ThGc7lHgLqM3?->yb+nT;g
z0B?1F=V*fL@rPW8opNzv&Y5b8w9R3q!Svcxn+@H(fH{hy9c_FnU*Ie9TjmyVUz@vw
zYMFvQ=t{_4;{T3aEjL>G*7^N+%!EbY2jRHpMf3GsYCndhvza_LO+q4%65GX{#1tzY
z<8FP!(N@{L`5~Gox0)hGVb+wowefR{>zeoN52Nn3MN-oIvWVGtE%);Oybz3Hlv=Rc
zLqFoP?zX)(iTiwQ-_?g%+0mBE^1=MMQVq5-BB++eW5^gM7DIiddyA*r=0>B^Z_hbM
z;12b{MbzB%@!(%v09!G1%3A_}rZD?!anGwhRhavHzUF-AQOwKtG+T*Dsh+v(XCGXR
zU)WwT&*VEgW!gP^JE$_~o^%1$udr<4P1z}Y3U9|&ug9m-eWs}2$nCV)(EuL7FrJ}y
zQGAtY<s|T2?A}9BPwt9|)uWo{;n^eOtEyGvYAl47uu0R4_xrQU^W&7Wn{0(3f7&gA
z)F~9VPC6m%Na*I_qIy($szm<2K2E)Cpi`dR&`$17%K7w5F>L02#%nyHY^IIUAI`g<
z2^-}_-o+SXoRxU`VhAAr22wvsk6B?e@Y`K5R94-}BK2?HDE%Q=#4;Y>_F*yZwL2YF
z?4?<zB<P%H?mpY$?JTaRE8lgUPVH>nSb0i2cjr7^R6uMWV{V^CoUJL-Ex)sSuS$iK
zD&CouBx1u#u_!iqUW&(h<ys8gNjL**zGADws+cI?NfkA4Uyo%V%<&Tq&tod}_YOO(
zn{I;i&QJfOvKHBtEoKoC{rL?>TTq+1j8h_Szh@)h$VM{ONP#}pT`Nlec8aj2?4YK>
zZb}|&iv>>m<4BdWe5pZ3e8jU;<&RVIG6ov!nZA>^Vb%7t#dAG9ejRzvZ{N3N4HVq_
zQE)tLc17J+(hnhM^8QZGD1FcjS#$nlfF1{D_@iP<SadFD_lOqfOTtZ9?A~s&+zHMs
z38EL<@M0G)_4L{D+Ql`B*Nb4zmsVUX(2#vZ{M`2_hn1iiVLf`Pv_3sAYD8C`QA9)j
z6`MA<qt<&}MrcPPhW)9vXk}VZ9M)Y-ytqMG_yYnHDv13*R^>m{T>U1+Jkq@Uk(H&}
zRuQM0#1!N#{hC}S8zyLOP=V+AlEtf$Sx}pm5~WL<^@;j`<W<^#IY>PIO4(KV-#U>`
zw{m`_?i&!8IPxy|T-1M7(m)$^hr58c+#b*Qq+N!tYH-MG;vB^};FOxZgR`V5GYpDy
zu`874Uk$%s{K;wFCUXNU;3rX*Uyyr2U)ycskr%bQls0}w_O9WEhkpUj^Fq$?6jnJ-
zla8(VoDO^6wnf3M)N>iU^>O=qjEO5MZ+7?JZc7?Oa=znT4J+NFj_Q)Q=d}FQ@xPc=
z9(~G$<HV)09+#*tt^IruJ0F&RnMJza{^!jUn$Iy;oIl(#MTV{V(>BvxsK_npJzOg&
zu99<==%v%}5AfqFBgFmgUQv+r;i@~=<5}dw<jc?ZMKgiry{VFx^Y7m^^$#&FPwwB&
zW!KaZ3L1aK5-U=4Hq3UX{(1l_P#mJ4!n&uz9703E)D+Glzn0NZY_V&4)>B)!ZN82a
zyk?vzUX>sjk(`p;WoeX`H2G0OOgGL)kjLs~pcm6>CHRNT17TLW4x~TZbHi78(N=P5
z>V*7kQ>Yl>PmYElb#~mzInr(T!b60L`@;9+4<E|<JR(1K&MO2kWtiOANIKS4PCnbU
zcR+1hlR)QTkrI=-QQV3lN5a3Su<U);YJ#?2ct0oE(lin&CCUZ1QaZAS(0_{|U7__`
znxub-VDi^^B4GXXh=CzBtKHt7jWYt!u^KvSBj<I&`o3aKEGO13bx<>eKRn)8b%S!S
zlFp@{0jHj|b$2e}aw}IykIVv%rxjTsSRznlc0M&x922$QZ^+z=7c#b2OXO{e8TDt(
zb36_Wo9BFnBDk?9x>nstm6r53{x6P7$w`!ep#P#!V{(BjNx0BO%6G-d)8eH>x@e*b
zU7UK<4W~4Xkdd0%%%9KXGCKjjeYPLQm)xbEl9VQtFGpqldfrv+M*mjAm@B>Dv-kUI
zwtMPfs^t_nUbANZ45Pl9<N3ztRk<%8+RHm_O`f6LaP-v&G5@8(Z;)p#cV%8}B?l{f
zKTbOqbvGHl739j0b!>6vyH$7{1uv3Pc2Z4seAASo&&JnB=*!lMUWa~PrxhF;3me_!
zi@w62w=y5_G|%4o!O$$X7>ld=#rOTSw@69P|FppGS}C67z-$8?mRLPtagS<ClO>p_
z<tb`RVY;nI9<@_4*L@WBZA^<w%8kgVT(~80$hiqX1Z=%;q^dc)USS+8bwGuwk?!g!
z188v+->0=ysfBT%)o8Ya#432Q(mNvk&KX&*==eIERcFw%)G4%1u@FFBU}t<lGtQ=v
z*Nq6fqZ)yaDt}o(J|lW9#$K5@qHD3!%!zIKx^ki%{cqh>!%e+@#+Nlm4*OVbHfOgd
z!qrjZ_vObD)G)VU)x8XBncU~)uX;o@2<l?)in<5K-yxXl8pa7$b7{@vFMYe8IK4_O
zy%+hRPQI_Ps@Uwy!%5LU1h1!sD(+Gtfe+2?_--8CU`qS=@%#L|u-^UqHg%|++l)~1
z<r|Y0%-Ss83i1-)VEXsgx;s969w@L$g~yAWreR=1KGY(jf7Y25lHSx<roa8YY|nN*
z>SEIq`qOIK-`&|5)<o(`GbXQ3##T-;$?V44zDt@s-~+9Hqs<${T2}q^e;`pWmi*hG
z_UAnG>{+PR=)qIZnstk>yGET};?c+9E@?6P?atqBN9TcbI1fF&k7y$}58pnD&P$AW
zHs(57+>`mT|G`&{HI(tEmZv|@by|I;wu?)eet2H~+RlP5-1xDlO4y<iO;R)VN0_)x
zmD#6&n6H{rM+zSaD06QKXi&KQwW#p$vlFgL^_DF6nwKP8&#3+Y@^9I_LRgn`a+{Cn
z{uH1pdaT#q+GQJx!ahOl9bIaURp3u3CP0EnsRYOY!T&emIO>j;74d*uPz-Y3egzTt
z$w=2~=b(1>K@R=rMaI)1So8rJ)6ztS=L9I<<^BR3xhu@<ug<@BX>dXYb0o;b5cwVP
zO8<DOC#3jDXeWW?UZz08^-E&R&u$EV$?$yD`J1|^Q!|>o<+|PNL5Ewxq4ewqbVo`o
z&+l;=B+_)%u5v|HwykbS8YJ9(nb{Qm{xQ5P;PD-KOj4JqB+oT;;7ui@Eh;KM&SZuA
zV`nPKE=>p(<w9E6e;pJZY@l`}hBjL=egC_r!(3J1sIiGrLT(`~KaBB~qvAO&tMgrs
za<wX<sP_nFgT4G0&l$z@MHHT>ano8vnP<96tG_f;GWe=6nKkGn4<qTFS2E|*#ZTW<
z;<)vqhVCaAC#11`wdzx@az6*p?z1!6uVbF!f2;q}_!CfHa$<H}7Q}Qsys6gRpNY*z
z<%=2AJRE)by7O7qs5Ko*_nnqYA)tEeB1h6C1vWFAe5aY}e48L`t*x;r$siwqp08Qo
z(%Z$l7wR7_4wMANnJXyWnQ`p0FF5|dQSVt*%Rqi{C5*9rrmOS8`PODH&Z|qO#aPNo
zmiHB7sr^E9n62}|d?hab<kO+g;X8WEGSwWpwa?CmvUv9(-7{d(Tg8VnqP_X;7vYIV
zLDaBlhOcv;k41E@0L)qp0((%Y_%ik7@7%NXJy_!;RhJz)IpQxHH`Tj8vFF~c9MMLB
z&GlX=Q&|$<@=6X@2n4bQYX2f#znb+j4o$pEWB=w)P{Vc%MJNY~v)7&qx3LII<W&O}
zB~YiUa{No%<5<5Ku$NjmDcYqR#dsuPJI98!!&se@7t6-&!ZWDnO?$022LqewFy&yE
z*Z!#?FXU7eV*t}@-}}FNW;RU6M89I(`(odJGjH$ducS|BNhxigAI@u1a22EajCIKp
zCz+|p?+yGu1GNhSizd->Es-&A3Wu(Hb6yr@GQ9gKQQ)Og#;32gvR9gGr3^f3T5NZo
zZphHVc`v(O7?-k$axIC=i}`6SoJ>KgQYnX0zN`4~_5498lw@8#N1*wcnzp-QQx?BY
zEt>sFA6#WmFv;?Rq!~?-&?&A*@mB`+Tz?0@;F<oKFF8MDXUC@DDp4F=u65zg4^Vri
zVC#H1wfTHHlLTEfrygH#@9PAc)9I+6rSQV1E_1q8h5fH@@3E^q1x6H~v3naPykF7G
z!>}!J>|s3>+1oZUVW2+28c$Mu|I8BS@#zbDr58&_PfOT)S244&cu~h84YhEm7tG5g
z@m-5l+Ru6(V%#FYlP$vc?k%Z&OCyaKPl}pT>KN|vHomF9kt{%It_yAlFSd4%v*vbv
zOXLJzDRY%fdZYY~L0{1K6Q2s;B4#7!d&nY91(pciR<z!}yzH%xkyf_>EXn;*9(E`4
zSorzA48U_*OrUI#$s5P5<-vNuPIib902E2J^?&3#c6fQ3Tm(7&DO{Ao+^<}a=d^34
zD+!vby`mh?rZ%pVZW;fzHpvK_TR<&~NS#kb1iowrr{x9oPdqZGYW?*o%-+~3hr7FX
z0?6S@Na3XbSy%mGtBy`N^<g`=1s3Kf;GQm5qKa0yhA-(InyOrcb)8Na)6oiuJ^U=h
z%lL2}cI)DRpUCa`ozUN&yfT3BE3yGJ0Fyb-tNmfiS0k`(m<nji+tE=$7QX?(5TdlP
zh|KoY7X3gu37?<sP_#+fs@Z?>L=Ep!JW+`SQJp2B)3-ss?+iV|4X8wyT#CIcjBbM1
zO6?VgH2Jh?E_7LWdrqat&dW?^zZI9)9qLxJF4lWtx;%P0dfds`jVbPF33;47z%w>4
z3ie#2e(bs)l$CXV{kgJU@c%>CS4G9OZEXgEySr1kyK8WV;O_2DaHk4)2yVeWcyM<J
z!QCOa1edP#==*oy9_KvndfU6!T650NmLpLagAu7Jf2pryWqM&)CtN$jwi{NT6>9!$
z3-0Sp4jwY9F$FtF;x~b8LkiOL4z=<D((x}#Mrv_9Jt8ugduu&}#(I}xn>@>(syp<7
zV^KR67+;lkSag(T3RBfT57ePjuY-91kn^obb7N`AQch7cvck$wl6X|L<wIF&iA{~{
zefzhwAgo93FB%S@xDW54he|<)cJNBb85p-<{vk2$%^8jggL7HAfyNvo%_@F}8R*X<
zJ5FR+GT<F(csPh^Cu>brz$@vAZK>v)C&hB`#jpe0L4)d{YxEn1rxUnEzXxD6vRu`S
zsqt2wVk-20k7)QYhPTi@DkG+K$~auf<x~mq>U1OK<+y~PYJFykz+wKJ!sdhZ8R{Z*
zc7(e14+RFW@hF%4!gyso<Vt?tDd|YRX~EI&=3zfrw_-I7CR>p*3xQH7;N$29Qj&pD
zk3?Uc!}LiV@e_%C$^#03IvRSAM|BM6-xfbBxINtm8<2B@f(kkt;Or=;O_;f`G{ELe
zsg}`K2!7yq4ggWhXZ5T7dda#+2%2WQt7SA<iy65S3|L^>_jT)dM`2ajlDV<K2WgA_
zr~yoC(!Ab>TfwQd<4+9BN<=nQVdGNbNBlUS9yH+3X-D&*H8~%=k`Eg&Vda$zyqZ7q
z(6A(;`4J{3vSBk-eO42&93UAc>j%11D=K_rW!;p7f5%b3(DvhA38*-yr}6_98tS6X
z)sy!AbWgIU;ZHn$LjdO5f!nlX>_J?pl`4vCCgjM`*uFdU(qy^+f5iOH@VRvS7xO&k
zVBB3rgJe`~SQ+=k*erMd9KwSMEVaB%njc`4M2?>xatRJIWzo?{NzNb|{~%IxwWWuB
z&PCI_3*`wkCtwCqGt)5)jiwP~Ul2(7E`I3xO&}gTEZa4pNrhFb;b(|QgyU8H71<+Y
zD=xkH=O@}5%|zZRRrZdAqyX8ZlBU9<Lci*-#8>J_l-mK$t^yiqx9d&WUsBD|rEDAc
z^V4}M2Uon&u9D<3?70Ew0l<j~tR0@|1Wm=np)1<kF`Sjd;z6pAD|!iw<bPh+|LMom
z6Gc8kP^mIAG^7F`-=io%e0>>`JCY!Rx77(j@y~28p1d(+l9*PbRuq|2wBtZ<eUqc*
zR_bOf7iMo?l9+AO&l^9lAPewrh4$Z_J0kqrBa%$p$$%%S(G$4?St@61^}RFqq_!wf
z7Ur9hfCtat=}X@orhnUTLdr5xMp}K3IWIk)M>UE|8ts14sMOzOo|ptNy(G%Cs|hK|
zN!XzPrT)RLsMwPlWC`;~Hth6*atyQss0}B!dO_&AFjX<J^eo(A+=3QLg_3_^{tKto
z6GsUK$KtZo@MkPBjDr{DAnQ_-mR)QZ>*#u0gTr?9QkKqPsG2&YRR?cw;Il^~=$7@;
zpyu$t`g>xVtck*(=K|`9PbxBzmU$A+Br-QcF`2l)vVxf9a5ziLPh*~i--^*{&+Nkb
zr3yL!SP&O$aeZ@oBfs)$bD^QCX1M=VR_yMU$cGV<Tz4$rjAC<*a6r2O0QQ5&cdKU+
zfYSliOWcPs!TG(5(-+G*<&JQH;xJPhMvv#w3-O|n?M@k#b*kDO=Hdu}M1sy}1@AA%
zNMErnl|N8d8We)^(%Sy*y*-g2&T7j}GiFb>f+r>>j9pyNOG--WR?h^yi&yQeBhc(5
zJ~nO<0yeipQ(Dg@+6V{TeRIG69IwZ+#Kiypx%jI4mSszMj&0vW-+pnMJUBBXIQ7z2
zVwoMf$N?u37iVNTJxnEj_+zX+)0#O;@5!J9#vA}6K2h6#o(p`We+o_}Ass(+;G9H~
zJdGH&HD%_G1rCx+Bt-+hxKRi+UQ=;51}TM94W9PImQTBQytoa>%G_!Dr^HNqb^F?`
zRZI_+U0i&*CLAAY0?U;Q)uHYB#k6f#jDIqj^VCNn2?es>%#93*fA~XAh?pFu2oHT`
zE+RH;KR@6(YOXff9c$02&%Bs?lR)W(1ks$mZTF$J)9_l1Cf=D2e9>>JT=`>*HluUL
z`mNd}(&Fe#Z?l;cLHzLivq;z5_;WWgN42sbTEIn~4B%H&UM+;$b>xTcchqq4-(RO|
zUoDk_D5#v^F6~67MU3wEUjsK3o?nBdic}>i(ElvwiF}kBWr5sw#`8m7+MD)&Y4mtY
zc$5YLrfP??Vmw3P_5#coW$^aZM7c3ppbg6IwXf1+p<7wedub@6Te(QYtf@hP)X!0b
z-yLc<<NOCvh*&%dK@<t3nknEr;89x7xc%&uKNi;WI>sxRxVqw`kK{cl^K@K2y;)*A
zywrIvxCumKb3r3}Hyscsg>z*SKB28QYHc^A<@bG#G}YqM*JLprg`--1M(Drk=Z#lp
z<6Vp-aKilkvD%t}FO1&lb+MxLH(5M)`fq|SlQHT$g6(6_^d<tAFp@ZpaM|Et#!cqd
zP@1|KF1a7EvpDXQMyYqjkI2$#mOzOj65;=)8vk>uf{9z>!@oL#!-<j@b3}BN5avHL
z#*4oiSd69Z3W%Yx__Dv{2w|xTrcZ3~U}?N$^|E&9?UOS^RLO-{Q70y!#;S^<54Ew=
zZE~MC=GAUml$v{Jc$c>kkg^QT2yn+58MY$hO5%6>d*c#m`iDBuw2GwE#oJR7AbL?|
z%2v?sm`daSXckvb_SXMhlP_aKS~$u|WUlDqb<Iwku7*Bn74go20vi~$d;~y&G9n`c
znPQ{}VOi)WaQw8&{6$ru115kS?&*Frx-h{}a4krJ4+@!hcQUSDarW*w%j%E|Lq)6|
zujXRgWU4xaT)E*teqsOfS=9WOdu>_tlXYr=hxjzHfButYK%@K{?KbJ>kPhBQjQdE;
z6yvEd7TS6P9v$UuVuLVc9&!Z)_UOS>W&`*kl!lb8-{XpmTmyl8x@mF=FThRVU!d7?
zpO*tU*te2SLay)CO@&aC7Ls+^+=o`jmY_8Udizf$EhtVruj)FA+9Q_YMF3ZOkwj{f
z*0s;kuO-8580V#BJMyg@Hj?iOJUSLH#KK2!(x-I75x5myv6TBPmBrq+LAQs;m}~w*
zh(xNVymz0LP&;Ke1`MK%-r=sYN)vO5#0#HcmQ@reB+-W!)>D4fc!~f=A^17w4@dPZ
z9d4x;{<YfL{H?Y&9Q3=(u29-$oDv(Z7=fD=o|NL^E?=Q!;vI+HrTZ?I6p(ObS#yCU
zVhe*y`;AE!p%J(vHGOi!-ZG+bE^ybbCXdM%_3xLx?XH}u&<RaPv@+Dr)qz-fNoNv?
zi@^NpB0mM5{{Ej8%Oimqg30y)MOj9*vXzdP7i#e52fG~3I)a>U00kWm@hd*}$!1C-
z)VZ@qDh5!96qHb^xy39TPF7x<HUF}FLORV_UAv$B=x>>xxR!UI#I7&^$1(w4ky3~U
zeq4g|5ufzifESaz>fp4WtIhwXko>=ULGLe@t>+t1>?IHugg#f1X!;||p5{TArgB$w
zo_77g7es$<q+n`Fk06xVdkGG!MOBbVp1XkPR$9Q)X~@^M-M1_EhF9v@9SDAMC2}h3
z88`w&P+MNT{qg0MSk(q>AO$aFP{%z@GRX@WK8>3?k?Y7^_KosRSR!*z#wE^tplXb!
z$c9UlzTxu|zV#}*BkCWY7a5SB-~1F?i{37)Wm-Qf!Hwn)Dka3!*gK!~VdC-~EzDp?
z_z9DIY*u_YoCuVb<$R+|3f<EY6oS)xa^QDF&DT4|<FA##I#jA&`xkMECmMM1d(D`S
zsWig|Q;n+I^eo964pN~Y|81AK8gd?tX=98~nT$=i<4|P;y96+$L&sy}m_UmRLS<CX
zz|_G)8}DerD2MjA_p1w$o~0Qm_iL)R2Ps@Z6oD0b`TS}%CkufSmpma*Ua|TYyU~`V
zQi^!kgO2(PBy#bt!BKZeo}sD?^64%4{=6c)r)IgJMYSKeu%R^Q?ppM?Q8awRJn;ox
z`0Hi`t%cZMTQV4FHz-UVP%ylv$z~t1*&8{cHu)kIym88(`s+A}LJSuYFf}IR8fRyC
zrYZFPjjXC$|0_XSw^VrQD1vKcvTQ}Px6aphKo%xMpqn)i^1(IAi!*g*3!lS8&sHj)
z-QgfFr%7}VQ{8UvQ<gmg(ZX-2IooM2EB$D#L=jn9jS7sRLNm}FxTxI-jb)@=@+@4t
zSXaAi=Uxvs)ouNiZ1r~#P&4<47}$Zfh<CBOW@yMEyVx1fksGk;O}x}Imu8DMkc8cK
zgW76@-D>`lcU*7W(2;+orjIP74cj>W=`1rvCHpI$l%*rlG0?EsN(w9%K#-qjw(iOY
zH2G5hR@3=sqG|~QbuA8<`swsUdUtc1`urfA9!Wg?tVz;%Elf%&2`5Mg@h7TCMEIKQ
z&9Dh}v-;YYHhaL=AJMy3By2SqePU4YAuAW|E&dH}gDTHdDd@hFz6B#X9jrFlv>5L8
zd2Pkec)y!tz&jxd%Ys@6ZQ8$FvUe6(TJ<`S=pleV&c?w-fl^NBh{%-KVWm2!WD_Lp
z51$PT8Yc+TLM?P^M*J(T(EU1u=?7gZqb>~2Ci9$p{BTghy~rxH`*?oY*ZiDHC9HED
z-t|amzDuC?8AmrD&U{m2>8=~*Ie1Z4y~bxN+g19X-yIEdHAmDiYJl;f1}iic$T6@*
z6|a6nIk;_AZuTp+2~As8RQBs_<f4+C+OS2-rc^*Dwf6D3$Q(P45*fOz7|qoKrkrs)
zIRnDReKi6PBzVROFN(NdOxwN_<txN>q)do1Gj>HGT|bhjUkv}Wr}HBfWTMzREtYy2
z$3KjN#fXQ?H|AWi!*n~b-rJc;*vjMov0w=jIKX{v*%c*25#yW8qk3j1sv$;PLDx$R
zmhL_d>`q+a9}IXd3{kTBLe`!8AeR>i$lPs`1!tsfcwVzkk#X@s$@?JQ{?t9%R|HFr
zM6SyBME`A4wAc6xX)jmg_%47&sqhn%lP31|NQj7t&ipxhlkI>qm(^o;g6QbzjEsz)
zk&!5VZZM!b_j~WcmYW6Mv+Z?@KT!rMIXSsv>hzS+v_6ABY}K$@$?>(cQ;373=t);s
z7olVQ?faxmr-Nuu6cRJwYEd~2LsKo@Kqi6rt5^ty4f=Q)!0Uz%10=h5JL{q!*|kGf
z@GFKBm|6cQsUW>0BUN~$A7!en^P!_so=#Uw_NQJ7q~yz-NOL0Xy?RlbH4DhVVnpSs
zOM)LJC%2tM@58LQx+HcU@vC$UBa$j|!!KtTy5CEo67)4)N84q4T+-N>*cM{wWnm>>
zcy5zySH#UR(LwZv5}qbFqjAa!r!RP!+8ETOxL-x!FsYh98<Hq^e0-ozmi2gTP~~hL
z-`{DJ8RdX{p`z)IxLP?W88(<Y(atRx8Q=b<M#uFIzCY8k<r&yDF(t1e;6C%xm9klR
z{l{qI{cJ`yV4%+X{P70K=>Oo~&L2M0VyP|q<-W&0#bk;|v@FUzHsu}W)jnUp1^P~|
zf4Su*h^3z#-MtF>KW!=NYx~z4h^&`3mQN`<jIX<KaR5v5d$1$BAM8|DQBw=~8&+WJ
zAb}kp7q<gWK9-c0hSd(+$K7pcVE^9SyaP7Ki7HO=1ZoO%ah3dD>+&a@o12rfW@cvA
z^oS!Bi5nUkdier1ZoQZzS`(vp(X><gha`p<$Hj{|+D#Sq&5;+h=MI&J66q3&u{Q59
zwPOv$tW8!N1m-7GL@-=k1m0r2tp@_P7V``#6FFkzw&@fmm<lH@G{r5?`4;>?D6env
z_-Y(i4`;=S435t`6@dK@xYBQ7ERpX)na(^2w_g;(51kz^DZ${etzT?ZNg)_kjYg1*
zx%W_KlRw(De|A~_1*$L>x%R(iaHPoFi3X2<h)<SuK>H+#ld17v0E17X(#y>!SPCe2
z9BCB)LgWOW$r=xX28euS=jX%0_V-}ub+GTa%xTBxt2V$=HDho$8keQQ$$ETzd_Evf
z@a=k>W&7q)MP0qPFdn%BVZ-ZiidethT~-nmHdL(Svhio&+lvqOc7F&P!&^k`;GLhg
zOl=D!L>l+9TH#tr|1Nj0*@CK+YV)Kp4Rib|tvGLRO&jmInrp{u0Tgv19a6*&ulhl_
zfJ&IwJ-3OoDGV{D8?RdjtVOut58seNH$?s4e4?m7OB0lMl943k>@=}Hr?6Vnxuo~o
zc#t1ekjL-%X2ir9^Zts@&GZFe1cppyX31D$M1AJ0PqnAxMbFJi+QnW%$Sa(a*sKy`
zU@Qvr6t-X}fTmA4>WcZ*qbO(16E)B&F9(<kv&`30Qxk~Ki(^oo9Z_}>FaOt1cqnBo
z4H{rX+wAaC2KLy)n!HHNJ!GOpIyNr(o~>|U!@sQ9)oz1>`87f=mK&|EDve&{z$0y$
zN@DK|2WoTX(dp?xDuY(f_B)Mo?f}@vToCZoUw8#h<aE<0ZEq)FVq%ih4{&Uxr`bS<
zidkC3@<E%XZgAG-{2`Or$D(<Z;c&atU%(nL%MpJsjl=dmqi@r5de=$d@JdbxPUKs$
zC#)w|->1>bx0cP^UMrsVD?UjKQnG1N9AJyI4n<Eh`b%E&uX>}auAjSL-fX*X#tN)(
zW@+WWl6Rl{%F233Z3e=6l@c$7^1g{mmXvf5<A_V?u6hA+q$I>S(58XJ?o9w)8%_-?
zCgm%VBm=Qyk-VP!_fa&Xt`wY#;%t(5n@?z#M)>y68)2_A_r~Sx(yBx5Bub#tuaE83
zkvWRZ|0Y4*^1)bArKmTdWD^mI=dhYGc6L@-7OgX$pkTQ;?4xiA4D7z92b=4jp1xq=
zFiR3%JH(+Klx=Tp7}lvwP_XH#BB7$1SzF6EnCZdC5ge##X~D)x97OHp=8~vuYJy~{
zMn>}fP>A~c?%_K-O__+Bh*UlJbtQxm5^ZmJS_<%bO_`~&5-unNO(QdriKW5Sq>1ys
zLYyK#C1m9EzWBkt|2gG)GVKrRH<vAN(_76i^FG|K(N)-cmoNFH0o+a96jv0(?CQ8=
zc2qX_^gICVKB3>!RDXkKL?lK}I9$_1j<INv0yU%b!dQ0G(qn39y9<n*67Dx=G6CDX
z<R=X?7(J~en`Ar<q+Bmyewtvi@7cxOO{Wc*s6~K#S#`iQ_!e^%EXa5=;~$>*C(=ap
z9skw7HS<CEOt(zZsI;>{HM0d1Q(@c))~SqhW1e!H-apraGip*V!;^*aaP@HfmX$Lw
zXX<;#A=xg>qT!k|jkmr1z&A>c=*J^2ZkL(k#G?}P7ekri<njfht;#zS<CH8PF3AK~
zeJ>}_J`@2P<oLZbzWPc*zO<U>B!!!ffv=2ekWZtdLLuHPzs;Yu8oo5eFjADda$8yC
zAl7J+*GK=QMj;@C7S<htu{p`K<;1*3?XnazWc&f*0!&DGHcF``4suSZX@%?F!NwOf
z*Wrgxeek;zkCBd$0gy=03d;jej~?X<`4K0D<-Q!w<fLHLMtn?`<uu&gkFQ1N{tG;T
z-G13iO5LA91EK;ylS9qLX5%HEOF30<!__GeI=_?DEg3fpj6&unPhRTe>1Xid?h1<d
z>B+reXt%>$dTfo7iag5O9mcL@c$szHNYPU2#)_WX1x>u#hF#lbUE#5k;68GF!LLRe
zA%z@rTl1beoF1_#R_MuiPvs<O_TP7LHG->x4d$u<oVbj|Iuvzw8c3oyUal@Iz%&Q8
z2E6j~ZfC1L$l^o~s=Kox{y>TBUn;4h)27YM9}%6Roe*cm#R2NPC{ibHF(xaO-n_wj
z8Z4@+sN_SL*7PTiofyO*hMHuOvk;vqdY?3>3oIU3B#tZ%B@QZr0qCD<C;Jnn)GtNL
zF?PG?V3AcA1|qzC96dmujzC!81Ja)YD`zY))_K`ZRF`1<V;upp3l#^G0J1~npnBjW
z_8sB=o72vCLA<lc10@pUnm8x6CQB=X75pg<tnSBWRSA;el5<d#B=#YkyQLGly#q_H
z=3IotF!Vr;f7Cz@OF}Mz_{)m4xtI%quFXfV9(~4z<@25kmq+IF>z;T$+wc$WG}vLL
z`|I!^m-WM|gN>>5tHWnrH?TdIc~2nO53ieT@dx+D$Af<GU7@HLBmP8}B)e~+(xaU@
zGC{SkLw<xOIlM~vbD>Z%ZH8?Dm$YpypW&;r?^Ex+ez#ia8)0to9fof{3)ME5Ntoie
z(9qDh+#D!k&pzi|_(@Y$a!73Gk1+1IhOzcrF~H;a#P+d_L|9LVv$u?c-MGOSh>P{Q
z-EX7(E&U$elL3QL#2%OYuiF7Gq)T$4(~aojxBMO&Uv;D*1s4S`1ULP%D3|%Z2sQf6
z8ZRdrP*wr%o<>Y}$~Yk0WMQ7U@)@#4jrwAaV{*cFK2%ZV%jm-LHvj-egk<lATQV9S
z*eY;K!X0Qe$7)Y_Q;==OybT*u!xX*xZLY~J#>sYK`*M&}D7qbEh9g)B@X1Jbb&jY7
zo(|hpeltoZ2eQDQFwp{7v78iTFHB`zuvn>nn4wk9Y2*0VFpG{}8DCKvtc6IdL;j=-
z5nh3JvnJBc2;!a%wRev@h^I)<Gm`j57KNl|P)yg(r?`mG)l9pES~@lD+l6w)>oYkW
z$UM}_169G<UIKS{lWX+(;ZNkEAF^@YYpi$9vf9V=DOyNB<Smx6N4{yh+`s^Z5iT+j
z5;DQXmr5RHqOcyx14EOgtH7AUwkr}cEQDUmqT(OpdGeluL4x4w^KN_bzW<m<ii))R
zDiWVo3vs=YM|$HJ!+zhC7f3a|=-+ln=<a#P4}PruI9=&i9Vc8%QZ?tZEWC5QKaPio
zr^1a1i$bKLI$$r*8^Zd@@<?CXd6$O3$*h;j3-ST4Ynr9cFZ;@LV)!PS>*A1KN^gyX
zv|E>Wqs1_Mdf4B19PurG#6K}95XzNu$4%O4BqsHHecZrS3nWf<-rQBMIZk)>sA$XT
zmP>=AIJT6y+k=P`Qh$+!sy#I!0?08oIbn4F(ch><>0KcZNi}_V#(Xt?0o0F&h_v%`
z%BP<t6x%f@e}uX&e(}QOnJ-#&PlocOY!ZKg_XBYEt$}W(%RR?f9&xwr{ZfhPGtKs*
zx(}SC7h2j5A?v+i823pCUwf1}sU*9!nT%2_<?<yY{GbH@<%R{hjM*qYZSXBJZ}&v#
z1saP*?K<m2_k!%GGUUt3bhm3#QXbSpC<XZEWH8X1p41IRa`z?@2;7?<0pq)G6Mt;M
zSQwm7Vv-S*_6Y~1R^IT4SD4Jij*XEKDLAtRF(oy1`&aqrG0Kc^y?&e!C&GL_gp6>*
zh-t)Vv52Gb79T>=>EWxdh@{ie<Ty7gv_srQakFXlfkF#wERG^*aI|)alu6$EZ87zD
zC-YM|9W3{EyKx3>?=Bv0@rPz@f>qsZ!v`Ay+MR1=xqF_DMx>t4vMZxP)Gaw{XUcBA
zO)l5mxo)|3yZsQWWq9%Z`e~<H3Puj1Mb^e+7Nt-lqI5HAiM{2SP*Vy6&Yt{ngWfp!
zm6*_y7T!*RFgItiFZaU)D#Vu*=*mgj3PuqsdW?Yw&3OXfVhQg1R}9+x_g_o8>dQLZ
z$L$MSjjst8WPdQp!KT%~k1mc>dgJlXwymemavT*yc^#+VlY^MMgxv6(-Ymc4koIgO
zQC=ptxUgr6CQ$^;0f;zaHFWT3ex)%NeQO~5{$y!<AzOTrBYiz(g8{7l?Cyel3sp}-
z=EARyDt~6E{To%3fe|(di(F=ra9%iih%bD2^u|d7?eb6bnM-Tcka3d(-=vU=Rg;<4
zYMP$N{oR<E*2bY(tiuq$m!6{@gVP~Nx9jHIT435;O#2Z3{Y%@btJ4jeU*32{JYmye
zuSnY;t&M}>58c#PTtP;5OLm)40K??~$MrQ1yj7pcec6-!=Bw7#AwCkXHK|jhvo%!0
zN|%75sogk^xWJ_q>qC=g(iZ=wry*{`o0l8hb;0+S+_1B{R=i=nvm5`Ss%#@O-}5g`
zPi=o<UWfQw&KuVZt2-kdc5m?fb$yUFr`K!GtFEmqI@dnMaL0JYJP+~t_&UC>t+t)*
zZ3HBlxyDa-=IAZ9PWo@dnZ5;$Xj(b8==~X8a{6WDv$@ojd-6vxa&}?t&)nUj^`XrP
z;UCTB#_KMZwcQ2%c=>a)V;7H@SB8^omZ%5+4@S?iGCOOYS|oX^O6M*={P(?GF9=&=
zn`Yxw;};oL$Av6~oN7-$ZXPzI-H0d>n;|Ldd0BMF-f8O93P!3fE`d$jdBc-8-Pf<(
zs#Z;Ru@05QjVs){4{J>>+4WQF!!25lMm~Z2S9YD<y1wx%%`3vY+3_n@M9CcoyKQ^I
z2jCa{Gq$TGkQT3V=3R6?=0D``XxF*%PI&l5-)O-#dv;oSUgs=hZC7i<@Z^f&MCA9I
zRP$@uO-=KKiU0N)IO4-cM_XIP2&u7z?nEczZs3_@9_AuYo9#FLNhER0%ANGQPm+H;
zf5dc)tH|czb=g(f$K309m#(JV;j(+qQvbC!ZxN$spPEPiZkLz2>=T_6dvFYbh~Q02
zWp>s1-PtOA0nsOu*^I#4@zK2pit%yqt#G~QLyYZLh)g0!5377{A1oDkl|ff?!Z;S*
zg{_xYFA$SuX4=Y^!ZrP8mn-|O<z_z5UvM0=o_k0!9*F*OMk3sg;o#7UupzT+7brP8
zBVD><c#m*d_2gIaOv)H}Omw8oDw)qAEp|7J+C=hZ$}+=<!i4skgfFKiFRc+RvjK>L
zze&A(yzan8$n;((n(ZZx=<+36%iZKX6F>Y<<(kE(Y`p89>UxA*b?saASZL8DhwsVA
znR)5qP@M#H@uZfOIgE6tGb5$E0wQszml{Wy*maiub+91XimXD=S?)0RWC&TH%pPiF
zgv`s5oGX|t?LiNFSs8S~d2AAudqdm0Cw%$*xeaD-I=hyLE_&dFJaO}X^II>E;enDp
zZqth&z=T?m$n%w3-sXMn-@_7ZWtnpS{{4ETyYcWrwa6?sdh@yQyx#~-9!!f>NfUhC
zyTN;G#sxn1V<Pt1bM)@7wYjyr9mZj}Jr1Vg3P+@Oznyds#RuF{QeoYMr%M`jJsc=~
zKpc8;GptExcxd3AFdTS+iG?N%_?eb6bMaJu345QJiSH4&#&3HFZaBc-a^!W#G-~DK
z*ALFdaQMsUFt*JfhIVuwM-PUnu#wS356)oC&aajr<spi?rS*(O#fJ-KrLFl~){R25
zjdGWwpBAd64?~&W{S6^M*2B!3<5{yf!M>Hk_I!9JZsx6n0gG(>7oje^_UPal4+&r|
z?rS%VSSP+Ty<u;(#-?Oj$AKNrL@vymHNHQ5lHtOK<Z;waR~`(nZqe&={NfR4e*A*4
zOdjRrT?qtF5JmI%+#n!DN4gx!);`mZ9X_74>`7OSc(_ZCP4Dv?2Xx?#^|eh|TkZ1;
z@7DcCHBVs(vl_R<z{7Z5sn#UX^QORk;kNEZcs#dhyWP7flKPl9_)C4lyyw_waq4%t
zD!(%xaK|l8@h)Yrf0K9k{Q5WJrls=bX1uwXyXnAb6`xk5Ui*gyTY3@DM^9cp`stWY
z+AJk4&D7prL6U57e!if&SyKpdcz8JVXrdVf8yoA7v^YDiFsjpT-t+D4Ev-N_c#>?2
z$2|CRcSn!j*3fX>RXr%BbSl+c4MP>!Oa!qTQoj&qbGvld({I}X?WF0uU9wuO3u%PJ
zvg1e#OgSHbrF)WPpsI}qeCE|Z4O=ypLMAqnfV_Eai1mQ~wA5sCD~ZYkPPxEX=Tk9e
z7zp0MofYy;Ps?iM@Q4-6imc0kGjlaTQVe&1`$Dg(qf$$eaM9>}6l)=4?p5$8XWWp?
z;{qXxoX$n=asi34u9c8`B>l2MWsc!;L@D&W7D6}ZwXjl_)l+306*PGLZL6T}#u8Qp
zrWNnx2YxG(Iy&pYx;A3k3mMtP&9zysMT+>A3Dm>a>1cgK5-Dpd$MnaI%$ujGqNL%$
zMvRmvJMx6057i|r3w&vmA$GR5>gp`gP>sA3A<QC)OOPRyG2nDh|NY~;*NZ^X=ex7d
z=-sigvBoaxMR5WG0_aFEsb>S=kXUs98{!xvB%$!onx%$DD!-PmufRj=@87l_!b)+&
zqvow=5fL!;p-cRz@x=3(0SY2#hyzIjP#}zjtA2h|&()otU#vBAZu!Mk5gTDE&W;qI
z8X1JiB6Q9K(HGAWSeEpTkyTuo1XULh!S*W3q=I-Qd55FOz-^kI$BGr=mh&SWQ4MeS
zHk!{@)Hie-1L@5*MI@Hnt*Hr}BV7!d@j#H4?M5#c`Eb@9Q5up67+z8P{-=me<+foG
z-fiCTXiu{0QQoBRL__eC@IWFo;5=LG^!oi1#g*(5>g$JZ{Z3-F)+H)nrB=G6n1}B(
zc^XMA2gI(AQ`KUdkB!nl;p`upJ7p$Fzb=EnU;uJ0_r?$+&9kupd>r$^DiQodA^W?!
z*J6!<9HXVn{mbKx@%G{+wWW(UI9E#!i~FU!6$NqJ4{5RO%byC2bUxk8aGN-O%f!|+
zilpT<aS+;)98?UM@dAm%Es-?>PT`=u^7|1dW22^XmwWW8GVm-&0DyBpF~r)G(Z{4K
zAd8k8Q!<i79&8(r&7#%n!hRGMjlJujeU8`xHP~u!P&3qG7Z_AzQETkn1*<jG)dS8R
z!qN~7y1Qb)Lyb?u9*i{CnvD=Dk*=#eB3stli^~hQ3T=Rp%n@B@(>YD4I<ITUpP^q#
zC?4=E@2UiQ^I~o}4T>CJfECFPxsyF=^UVM(!pX}Ov{<*6QHOtn<*P7*!8@G;_7m2D
z_2ycise`I2ItnqryU1~<iy+Orje~;*1-mq)n>rg}-~Rr-oT#ItV}R)CzFVCQuak(+
zb+KI1uqj(!ay3J1HMkU34p6lDC#;GaGoa^3*3-Xei_EG60|nSZH`lWytWD6r*zjfF
z{$SOy$J3cGrKpb@2O#N9QX>t0j+&w|zSFk$h2dWDEL$oFGcB5|=A3G}lce#D`ioQ8
zzADnX<CI645Ks>iXR)@k2957t6!;uSDo9DOk!DG@l@d7GLA;;{-(3L*mcI0<HKw1^
z$Q9tGk*li1yKQ<DOZkGWHI~YR=A)&&93s%wb&!_0RCJ8A->Nd*Gc^~ROW=;0;uPa>
z|Cy5y>)C}ng-d)e3Ee9*iM#Z_U-wEaO-{s5f;M6%(s}ti`2xGLm*Sv}YRmv-desI~
z%+F&CwOdQ|X7m+HW&MR&=pH|Gg_fzInlT{mcm;l{$uH0<>7TzdwX+yWI#-Zt_}=#z
zs!Gc)aE6T<Q8Z_W#z?5K$d(vpMYuD@ZvKh<bwekGgT<1{x4rZYeXw#8)@@c1=Q}p3
z6njqC`i=_85G4S^h)B+apFLLjOJI2X^BcV4TR*St=$T>F8?#(CwnS8toMpO(w=TZw
z7{hdtkF5H}4Z`hjZm?4!Vks4Mr1pVPZTEF#LXph#?Qq5prMK&yix<T&-7of4UXeD|
zyD4fv)hgln-&lHW!eC-13=V`GK`CTHgs!}-4?)m|N~Xi($v8Fr!h;c7SAXM?!g>}c
z>HwCSxX+ikH20$N)XtTGSZ<v;&c#1vo@^7p^VZ9VmxI-7{agr@ib*J6fu$}E+;K&N
zvOm680nf3HU5^m~;4BdHQLzOKVc!A_uuk+`MXeipAW3!LGn>1@X3yCu!$^YAfQ&U-
z6SQI(ZJA_fH#UhJ=zgTIFl2I1l_;#~3_F8J*qSO<=Fg_6Z53f=IA24-14y*AK$W6H
zeP7s|laO{I>#G6G+X&`}(!Xw-*q%6CAU-T&zdn*4f(OlEeEsH<xdZ{>y_TMcV$S?Z
zqJ#LB4;m{Y1rZLh2yd4b)wd2#{Jx_Z+J<^0g=aaF#tzvsfNIhkp;%RwQ^V^3o)6YN
zGk_I$x@WsMRzQ+UGr3pX9tZ5cXu70^rK*Z9!JTh1Cl{k&{yEmsYIaRM75@@4u!oUd
z@dR&J@rAHj^4WMXr!J|^ZoW$0m&?QpKI4ET)W?YY`%ivAG(+Oi1K5e|n~<9$UU<UJ
zr>LFqH7lg84xgG~zCQ6aEEQ^3V|6cA4*lO2{|fwGxXcUh?7hpgR{s;Hho+r$Gkox&
zY!KzHyuagjbu7xGdoqGpGI@%+G+DA7MT&+szE20gWDJxNH2H94x7W0x6b%_RDz5T>
z)z2|g4MnAYcsP~xF1Y5>rtR})=2q0iqRXD@io7e2kJ6x1IHp+3ZH)t~+_Ct^>N@t&
z?qHSksp`N~Q1yY<i^uaRM0K*v-^x)g5as<$6E&MeU@iUQ5T+sdlXH?x_56jj>BV>*
zCrS9IRCmA@OE*%}yN__x-r7H}-JWKey1A4b2N81i59D>3P)Ip0S{CqcXO*y5%6b0b
zgu5o*xVUMj$nG5=jH#q*@dy;|MCQx_s;sH44SS^SQ$%v5je*jUtkwyO;7wa<)mu9V
zcaGtP#KWBd&j4T1oDk?$Fj!3yZ%L|)7;nnCR-3dO%Mz2%5I|_j6tg`@vV%d{Z3#=&
zazn2N5|@Tw)~*T|<<hB2VVyy6TNh3(n=*GJ-$th3nuS$B?iKIj>@zd>5^LzR3@&*i
zlf)6=b{+ZI{4WYlX(&xC#%s7BBn`Md4u}Oe9oiZ=tgY_X1#~23g<bnaDsM}xggRdc
zQXRswP#GfX=uq17fm6|fOfC#Dj#k0usEz`tu8f#1*m;s{T93jto8aa(<_?OPcjC_t
z=ATTsGgS}m3QF*=o@gBv^?MILUYKz&Bhsi|A2Hz}#%`@`NssMVj(+I_;Z|;l)^oI)
z2NtzfkriS2%H`@b={;hfXn<L@11lNN9BJEyU~_AdW4%%!)gOxFkfv=o`0?=t%&|l7
zVdJ#m|0|36ufH%$0jxV$gkdhlgw%`cY0y0OSh^f4SjR&dyxLwTXQZCn(w;A-`4Bk{
z{8Ad{+JSHAsx0%_++|pwXpyGSS!#|qXT(@gVf5mg*@I^|;jmmbmSl%G)Vk|OBi~4c
z@uU`X^a=QLPh3*9jX|1mBkB87;<enam=m+Z8NT&61?rDE6oEomiuPQq>QJsds_jp}
zSU7tOzsU^>5RUMN9KmQaMjWG8xa0Hj87ryLmIsWV<QP{M`ay=XQ1X(9x7XCz!Bu@-
zUMY;-{PfH8|4boPvHbP_rI&sO7Y<^GPh<P$F~hpH2>=r}XHx{+AsUmMI*J^nei%}H
zYT_mU&IPk;(TIa|ATM;sU`*E_fV~_^m_&CVybVgKkPah*V+pgaUsk++xUhGqU{IjW
z*_>@v_Pa_$dm2T4i8l*m{~#biV3xxdv0#8xydK(u!{po13BX5)lvW4=RY!xDk+Hag
zmpQ|HJ=Kraba}fV#)sr6mjXb^*6_qCmiO?!>^r^1`;*b&g6Tp?1^PnB<fzl8p))I!
zq_J@&Q4`d<vXmf>U?BUBMQ&qGajqPDj(RpWFn>Nja6WOXaNl~DX5ape27(~yawF@y
z%UvmCIriM4{~QJ`|F@qx#kje}!M&f3j)qg`pIl+{B65IJp486ocSZam<^CUs(4wPU
zHRP+@xacWWJA#70isk=nt^DVKJ0<A+@E5l`V#Boud0lI3lnfw5l<Y%ermJZQHWGwq
zQG_@-ReR5|dr0)8gT$_B3`{4AW^%ANW{@@@qP*N@i6WXcA=JaNjI>4q&cTpF=@-_n
zcL}0$>gvonC%GJI2Biz$6%uuM**ak|x_)t=C&M1=-B<TZ5n6lc>;3M8PdtSz@wPb?
zt>cgaHyo-kF6EsFzH;$}{eeL>S@mdn6k@OJg+Krd?#0gUUpflX)FUSL67|(sUobZ3
z@5+rQ3a{v^u_n_Rr84ABw##fO2)!_tmk`#^3VfiJ(e|+q*=JTdXOd3zfUv4sv^PJ<
zdWLcHK7!ek4>{-2Ao2rAtrAQlQL-E*hFvFCJmZ$tRJTc7MrxjYx?l;4f*<dV%l6lA
zEXu<VmF<HUugRmuuIGntLErnxdoJEXd$%IG-&u$XS1U_NFzXHelLY{VMt7(4o*!RW
zs_WneOxYxgRC$R|G8BkdXsZ+8!um}v`L@sl&&}YYM9jPXl=G{~{3@vh{~s@ikQG5E
z-@mHj(u$Yc5s_}j_hrXWC_-8b=1LfG$Bk1X+Y(U|*_TU&&K1J-;J9KnhW;7zBf2t&
zLG0y?pp7#HNtiKvTLEZXlE+iDAg^?T7}4D3Y~1C<1iDU(#62uAV#iOp@N~ZrQ8M@s
z6ytU#JDEjD?4&+WScYJhInNi4;E0wN{pJX%r!U16HlIYXUKjpSBr}VFC02mUNhait
zU0&}iqj)R!sn8^jXz1xH^O2uLij6)(PL?SX$tmtdJm<f)2Y&eAZQC6av&IaCkRqDY
z5QY0mHOy2N&;83l1Ad80&a!Q<IV;G>pgZ1~KT?}I@^cO{07P)fyN~8Z-a(NC(Z7v#
z&OC_z&F5Vli3L;Iv;VDb0jOJwej2)v>^=IlfA|UK8iKDQSWB^ofYaNH_Ol>yZ__a%
zFUK_j`&VqxuJ*tnu;uD}WV2wypJ=$kF#i}oMZh+t&$}J=d`IIdQx4`^atgpCVn_q&
zBd~krCk#Mea?J84<ziwkzSx&*=F8d5-lZ2T1>fAr@>f7xv=GR<)>*^&kn+lp*R~k-
zKbz^l2vP2IuwpT5+^Crusu=~Mxhlz(FlO-TyjocQh%_>ja}a7!Z$?ONZU&m;_147N
z5x(eVTt?N94SGlIybdQmb$NEbQDp!MyCDm-g-S`Dod+z858K(CRX%W>lB(}F6Su0z
z1_z!SWIFu0?LV2KIaUMad(V*1o7i*l&Kz&XW9UKWmifSY9Xjm{O+epHK@`as@#gp-
zzutJM>^e$y)`l0--}TzjX=YTqU`@~s@9<B0<YHvB=LUhJC`R8<il131h1QjQ1~mb&
zPUtGc$R#*K&1RM8SYu!J;{Un6l7WjO_??X=BptCKq2<X^r}Di#;W^~NF*j9M3SgnP
z=|X}>ijMt^&1^T`z}^l5yG|N&+rEnFJOic?1N#Y`sW>7bc1?$TJ*HVNR?T!mWyUqo
zs7!%OG2XYZ4+Yg=`u&@CbSfSK4R%#%3o_RRHSdH{VcMX(HPWm)T<LH?q+7BL5&b)Q
z-zb@Gv}d2g6-Ab|MmF*uvtg&igzSd}pK&Y*?ZZmZF})CVkwImJJ8}*Y;NB}kn8v60
z*k0{!LISYTDXf%DFLm`MukBXlpC;-cv<GUi0QZghySWaz$_FR~bvz3z3wYpwN%4-0
zx$Mlmwbs5Y(<H|pLT-+34_+HkD`%imMZGN}eNP+MZR=bxXVvG6iT;D11ja6>*&PRW
z#A4#7Gf4f=s*>muPXrs}LtLq+YhV@dqA|W&pQ0pG{2pM3AEzm-_@b7gELdZXzxnmf
zB!fMASyk}6J1%$8$7gz_!ohmNH+yX0jqPlRGQ15E^%30{aU*^BkNfDuwcWshYA?Eg
z!aSlu9=gT{Zc}btNfn}q`dvT_vTwmGp$(}uP0GAqd(De6)4$~#b|L@Wz{p%aF=!+5
zkd+|?qxqjS5(x)U7$QPUsCGn^mk0DMGGqItaAFL&vG^QjKKFhHpU-Gxi{(l=YBT5g
zy$B+0AUy-AY-*Q>Q+Kcq0g8DxdwrmPkKOSmLshcS^&`_Rpf`g%F;e`BKrVY(ta^l?
zC-{08O@3IWaZ)8w00bJ5V(VfDsZc;sw$&vsLxtpGpVkqJPN0QofzvzGw&EDFYm<H+
z9kVMwRS>g&=8RfURY1qmO2}+iuGxV%x0FtZmQENimL=ovQCWw_NiTti_?P1f91Bw~
zCw?HFKLanwn)(&#3uh`$0o&H#Q6KwlIp_CNK`ID#NpUv$)>smO9{>zDbp8?{@2W4U
zhm0n=x4PebC#^lRRL)puJ%|J3E44u-&W`k;McNiT6w0?70-6BLi@vuYNjlqMQ}-^M
z=Fe2lO#3ie9fUyYLGc8c3FcjQZea9RuR6ROYPJpF;|x&^)fC0CY#+K;FXq*@#JpRX
z^8&r4@wbU=JZ^z7oev9N81h-{BpMDs6-R)}Y#$Q4{Eduzpr~FU(y==TYTpwB6uXC3
zn*QMlQuOOTZ(NlnC<$WP)2s9i#9(E(GXC0i`@Zt2FBzk%6X8DtJWhn`h=S)YB4Q<W
zWH{sKFyeh_4p^n!A_t*}JEF0hu9N2z$sTPuW?p?kOwRaCN7r93-^`($RHf>puj7%o
zu{MYhRUZXZ#GOzgA-M;EFULhU_esCIEqhxR)*)M#Bh3Jis7!x$e&0&Baz5fj^z$T;
zqc5Xz_BEYSqZ`CiYA6@<sXo);VROd@Pi==c2cX`*5nuql=&mq<9af1sq>?*#e8tpH
z1q>At1<lDjG}e3=DO%xnX@BOi{o8HZ{v}pmPXxTAZvtaVBE`1|(T#f-rByK_bt_V3
zqJsKEN>s4+vBcPvpigR$l*l+6qjG0;vO5JJYu7;td3Ia}ck-N4X{6Oyc{9fxMFZcY
z!`Gt-T+xiOV+)<w;w(Tp-qAR6=C0aN-)3c|%y6-r7&H;K{72=wRcpc5dufIu3#JO#
zsvK7o^?5R5>5Z}0dBZj)!cRzBvf*Y@Lm0&KN~)hC5rs_ujtm8Dw<+W*3&@Dq51B^B
zQCH_6?7P6!&nksnDVl$ZmbuS`J@1UWy`|g3KzGH;lI5%+^MAlJdMG_f`sao(OjHbQ
z<~3Va?AATY%N6Wz0?SB)ML$?J`efZpdA?_%Z82`C&`L-dAZIJlln4tFuuUsKpW42V
zNHPYvYH`H1EEZHOeG+%X8SjNlljSvxqM4PO#cIM*?3FStAz8t-Zntx4P%(Dlf*&vd
z;C0Bt<tkdbM6V6p0Flnak{;frKD7!fL*K}-GB@IHl~{Op+PfNb<T~{^cQ96BH5cV@
zS;x}WYZX?Slj`~jlm{8Z$OCOAzSU49DHH`35FQR0^_zQ(>ohOvLKekMBYuam{FCo;
zS2v}FVjxTGK1D%>U(gDKVltEF{t>3{ok)^Ib?<@>KZY81z(OeDQNkX$2j$91?T50(
zm-o><&pcS<+8`0x5i;1FzdEKncxu$M!@!4WDQrDK(GlbSX#t&*hm1LR#{Z!OqzrsF
z;tgx@R0b<Zhrx;XH;+cTCg@Rvrr;QBXI>)K%;Gc!lUU)u`3Z+X(l2fCZjx<Vzw~wh
z%-<=Mo*1A=lE4LbP%~L9^H=1lU71Q)Mdl#3pR+IA$7HvM^>D|rUz6L$pRrG|gswak
z<!u`he{BRw#t)C3(iS|%)1S6V^<9=c;+@aA=YZB+QUyOAZ?mWis7i;QArzEfVZMY1
z={Tvj>zmX{mOi7k)t)4<zDOS#v;sTaT388ArTN`R620L<5j)EY{B{wvkZpyS0C<7?
zC<MvaPd~p{Goet0Q1CfpkNRQ>u>B1Eb!4z2g|bYGJ!ZFp>M#4z{rp3xU>P(#VsQJd
z>OU7tv_$Q=zvpaMN|33X|7E0=6un?eM-9=iuH6hzN0<*N=fR6~a|o&pH2y>By9Nvv
zdZy%5t!>3}(?o@I=6sxf8?kg+^27QJf?>fh3d_KZyed|AK`P)#p!%?ah_*BXL1^8o
z#MGN8IQt^jV33i(YNXA;v_e99*>OpT`*y-0cwOd-L_Lf-31R!ZPa`|?<-W}IwC}1S
z-I)`UrneRTOSKq!^dI$XrBA9D{7&WUHqm1RY{?%K8RszXX+2HxmiKMUhn)JC0uW%P
z=$LE1S&TI0w}LX=AwEpsf0TQo`KLK`ivjFkc)@nwV<uNQg2J-7>?PHp=2R8y_%z9d
zmt)k+@(nlN2%#X*7UB~CZ}IbO7%*(F*6w%vul<KF$>UMoWkq>E=TZX!F4yPoScfvS
zx!+=TM3TIJl#Ya$?FkC&ScWcUzoTR2wSq|Dz8~91Fx$-jULAx-SKng^g_4wZ7QTw5
zqtq<R-`c;LYvu4&9OZIEJsqq`>i=6h2w0@C>%41kG<tp<`W$^kmbvqfF~86;$0<!D
z>WaM;9MnSE3@P7b!_$iwwJTCEE2*z~e^m8#PM`R%_V#}sf*q8>u!Dn0*iQ)ZOKW&%
zeF-<8`W<TFO_8|VTi!HH@rRq#4iKDAYYB{FR%Uh$DhmVscoK}xA?Nn89PAG%Vn>`z
z7b_}YuQ7%d%?@uzN)MLB4FO%q4ln#5v+g%E0s#<58&Z;7nzND%9FO;ES(&liHn9Su
zD!Vj{P-8k<Gq@+P#qm<anHZ!#x~tluzFQqjvB*r9stld_Tmjdko1O<+(4g>mXHTMR
z8PO0F)fq$_DKX`wGA>(%X0pJyo4ku8oe;;vIxhOB>KH5tHp05(BA2;K!`X9!2Vz%E
z7b^#R!<9vtkH8M0kGl`g_cf-}cp9!izN9|KfCnOz`69VWsmkFnsTOz<8|PhiKA;f^
z(oS_fnW_5Pc_^@sLYRiO_5ps3%`-`50!0U>X5Pcz{hi0`bwWSK`x&PbnfT3rCUJ{U
zHau|xkT^x<?DHGD)q_Oay1iS}r=Jg0Ia1=%x&seozdzu})hDj%S6-IWRha1-bpmb#
z!VbO?j*?&$ryq=f$?nWH6TApdRj5H(yh;HX#=H8y7qSqFJR7GWxN+`(Odhgl2A4&i
z^lp0tID0)v3lf^H?pkd50=Ny*JV_V!*yrR%?-MD~F+mhgmD?}^m&>{w^W$03;C}t?
zRq-}VY5A%>qHj@9?YpUoWR{~kekK%Q``QGg%2IXxR#KIVG0d*SSsuEQqRdc_Nzi7Y
zjv8StggHw(u4pB9a@kc+5Krk}Qr31>8*$5e))lFeOr5uL)n;l|)`JcTQFvpBD8-8L
zaNy4(zAA~zL$U&UM$hjPb5A9i8$$FMK@)wPKao3Gxk$shY+*T{B5~hs&VK&SI{mM1
zFWBL4JemWmOhYu7o57e#^wz_@+yPF(+^UjX&2OMrRfSzi-ILuVCAT&#-Kabc82#cY
zsUv=^S4nLD2*H4nnN2~^EkfK2fFCG5EcCYGghHSh3e-DM53|4lc>r<)k~5-NR_;7I
zVugMUE~r`9-d{-eyE5ooqGCTZnz3_+WsdMVPIaP0mcvQY2ZTAhhKKDiw{J@Angz>R
zMMUTiM%ZG2!1h9@g{97saGXTNfrMk9X#K(05mlscplc$s#Uy|+D}OdIMfu0SHL|OD
zf1#b`K%VPvSg?;IN`e9o3X(Nz@^RDTc$)^QVVP09AOVAC%bkDpQZ{ayX-1u`xo{+w
z;Hz*eM_5Pb=b5A;E#<+JQ%g*_QC0gH|C>|eG!l*1#Bif-$w>bIhTNhk;FpfX9c)+a
zxKfj%m>t!xrR51(!^P5>lL=n+nBYhv{J`W<sI1Am63SXB*(D?t^+YpoqemA`?-iRz
zqL3?IO;a(`=CD;atr;OVczK|tB<-Ef>ws>hIkw%Iuq$Fq?=R2n22kaPG3u#^G`dn=
zi5nkt%g9laA5gKgkk#{&;`M&h4<#QP;=Jl8^QIvL!Pv~Xo?z*Mi<h}Ze1<50j^@y&
zF>8-w3qvh*yf?17Tb2x2q73cD`@;*%#XGkP8Mn>c%Z5m%0{vltFsuv%5#-C82p*DS
z+x>eu2V~aj=YX@rtHYZ&t<Lw&wa%1kC#+y?#t3Upgvfq~HzZmxzVknD4y7bC<Ju3Z
zyi3Fr@8k`HU=OMUs#y^6paA{HhpRVkC^L9QCdS>@bBGKiz)F(Ln(p?y(zzi{G@tL1
zEFEl#rVxnniz}X+6pOPBeMs9N)P_V9Q3F0mx2|x(LV^xBnCkgSj4yg#-7>D=@(7gT
za;FP2Vbk7X_hGB^#wB+}kB5$AZS_M$ys|ML#h-8l$F6?%V|%$nI4V0LF3ZnZ*rsIj
z{-Y?{@J^52L@4QLfs(n8UyN&IY`^r04f{+ET@b7)Gl*x<$^557@PD7|;F4zTGrkZe
zx`C$c@qBGW3%*4p?i9dNf%D#<H*MnL2Xm2-<&BEna<fuR>$%+3_^cS450@bGqTiH^
z(3Civ+WdO1jwPRn)&8t?>E%BzCpb7w8?qD0nVPIUfxv~BU+G(M>bUW4qQ&;kbIf>z
zL?i*fj~x#S%Z5(U+XQrL<xB1z7~^G*>z0nTC|D#g=HPd(`i)Q3Od)-a9lQR~Y?Un`
zN#RF>%w3nf(gI@}aF`Z6?fx`tG2Zxtq|lKYGNq@qT7>NSnQ80ypLsn}BvJC%kQJBA
ze>4OvJ^gjrKA8c0X`z}0A%r9qe!&Rx{!|N1m-^;XWA!0=ocxDRBkH~|jgsmM1Wy`z
zceTPuyjgvE)^zdUT&m}3vBJ)*3Wil_(StL6OyVQ&lU1R2c-m~T_M>>yCl@RRRQh}o
zP~`)}|Dx-y!=etmeQycrW+*A8ySqE2ySt@9x*LWPK|tvSX^`$1T0)S{p{2Xw{M_f=
z=bY=^K7Y@3!Q6Als_*(N#t!Yo;7SswdQ6XOo_TbZLN{c?jC-sARNf>-TDo2-*&Dwy
zxm;vKM&-OA{rt&a^UG|FB$17UWIJ%8G9PXc)NfcRx!s7%ri|Yxf<^KMzX>R-3rTO=
zAeWn;**Jf(|7UJ0yc?eiz&qfRfEK9V)fgcI6{}5I#HA!TD%ayxHj#GGgljj^#q#$X
zHoRwEhw1m;%*dbcws3ar64yd~6Jt>7_vJ`tP0i^O7^y(@GDIac&`m2IQ1ZjP-6TUT
zUP^+Ri;}EFm6m<fZ&O*F^;aAVTvmJ!>_7YodbT)Hdt=ivlvF=PC!A;F?wy`!fY%n{
zSmq5OY`?<)coM!pz~)^_8ZG>kP55@|wh>A)PQA&-LmED-bT^<0pV);mWcAtdO8KoU
z<mC1M2HlF#{>Z7-gyT2r@v9V!e{5xUDlM?mRC0<1@pm-=NG?D6akJ3V(+zrm5BpH*
z^zsFG5f*9AAAikKqH|5|mRr$d%}T{Z*F`%%P0y>IQ>Bx@=qfHtB!M*Tn(yf;LkT(*
zyj%OhyXBeQ?aMOC`pk8hWKG5owO6vyey#7bQGdHuzzaswN>Vn9CE?o0yoCEHkYm?#
zArIc1-UkpYJ|Vi4p35IH@ypfXmG@Rv6=D<%PvBgVKo|Jb!<;DqBqtL1UH|wC3P5CH
zoAIQdqWJojpp{tM_mRa>09E6`g3VJHLsEKac90r4nE$YCx!r*4X=n<^vVsRotkiAA
zZf0UZo&7bvFNbAipfbdDFWy(vH;c}5mNDXZ)}CDVt#+ZxH(vFgR`TDi>%9ACNsMtB
znv+fp>HWQK2wm|upN6)?=m8v6D+8!{PQ)SSs^UFVAl`VGeCNsY8=aS~jYNDsa^L9M
zV7D74UUOTNA1W`Ff`-<LCZUA_+~1^fzgmo&4k;RhTWmLZ^8S0$S6_@W*Ad$6J?RgJ
z7;an3<19*3-{fl&t5oyah%E8<1@ML}ZrJZ)z61#bq2oacV153R31=1uOgJ+;S{<&$
z+aRQ^q17ctY+MyD?v49XP}NmD^h&UAUP~`DcqwG3j)JhXbj6qZH>G_pNsMxi-tb$e
zi?64Px`gDaYHeRlVTYyOILAc{*`ZPGPxRoRR`@c<6><=Nd>?w^do<pto2WjYaIGo%
zRDJOyzo#usY6Hnh(WHAnX)Y;ai~^LnzPu;sZLznOKXpN<tQmxvsMQtBphJ0Cgg&Wu
z3I9vJ5TS}9@X7<ioQcY;5z>ZQj>cE5TM#y2sRLdsqD9=h_QKn3@;Ql}yer?o|K8?v
z1#_<R?{I3K=`UOh-)Er;Ye)l@NyzsI|FD7?qG1#-SNtnIORsw^$mI*Tu;^^<=@w*2
zg<~VHxZ|*KW&20p`?$yf`UKIQ5me-R?*j=U#Mo#!W83Ma&&)uwaG?&7iNbCJGxI4{
zL5--G4&+U(TRvyBR{gfWyYs4K8sCKc%x_Zr(f`ieOtZ@5n?HdDqnFwAZ&Q&U(WnI{
z5*gDQwjTHm$JP*Rv=IWHnG>yk(?Hd_6AQ~7+ArpwmP93193L5zsjaf5HVwJL$Ci=Y
z&e&L4l>WmaDgM5_6maj_-oc;8i?vL|5Zp9UWGimy*ifeL-o_jRcz+JxEU0W?(}0J_
z+{*c6WeSdIBrS+z<LdM6oiFUu?c~$@D_&e|V*58^4N7ppq4LKV&`+mZzh0S#8JBRi
zpHeQYr@tM8L1S5gxS7M$Z`gtJ_9zKzQq2X;=ZW~xx+*~!^~6r@*l|~FJ)dhLp)}@G
zUNGQm)frEWc<nbUHf-wHZFIj<Ofr>dw4GO@;nsWbt!VyrAH|S_gaC({Jo^h1J$!h#
zB#!CPMCqJ`a{zy;1a|upuS~BQ!mu3L%Z`f8nMrcn?Q5J*dTB<^S*k{~C*R}yH#G2g
zW;Be?jNS0M1l~tnS{JZMO(P{0+<Hlh7e%kA{0a7S18Inb{z6e>)h2~#hmp1^B+^wu
zA@fWuDwzXOltKN!7Z^2XSmM8)(yfx*QZIrr)y>*UTuL7cDL@CrH$BZ<@mn*FmZ>}P
zSP4l!w=im+jLF@Z@kwFctx?CZLT{Nl|D7c@W&Fz~VT=ns48t1Yg#E5M>WcF~Tz<MH
z8btVV-Qa$^cm0+|?(OP=aPXV1w7OXO9NnhCyMBg&28!yh=9tZ;S<|JGq!2|C3iex4
za8|PrE(8m&$<GM4pG#Wp@ba7L2~To)I%-R$3`^+&V_{2bzhUxt#mAOqH8{rz3@a{C
z>_?G%e5ZV`&WwJj@$#5|+((*tTcPMbP>lH@Es`3-4F)?|^KA-_7`#2Y1d4*;cS^3f
zc1rmCMZsD4b_{MdrM987cyv@he(C&kfd;96ffJs#mV@El*EG3E5D@Qro<G#)<_C0V
zl1lj|zE76o>@|b+?hk{r`T`?cx+_OpS-cXCnBPU(9UQ+uzdC%|lb%&yvTKo!ROFJC
zPurZoc;+Vfyy;6|{1&lpO~REB(_!3RdKZ0Vf%%79L$gs#2P_Z-S&r84Wt{YXRbz0F
z4P}*8{WxLRV`)oR<jzgkG-vAE2p=y(4#i-EhI1+Cw`D&r6lan}X5vec^1Bhxo|uFW
z{0VM3kjDYX4l66?;tfT}`J$q?9)kbj)Pb0QbBXG?SF|ayj*azp<4cBGH6-@I>#Ypz
znP_%P$PyfGw3WLpGowW9C<ZOR>hI>Tt5rrVPfZKvkxGO|pa5r`1|v(Cb31{H4NtJ?
zq9$@i3eLafK6=IaAkh$(SsUR8HZ)jHcx}P_WPjSIAuIqll^3@=C0gLMPx5&IAv_sd
zkqO<b$2f6Go1m`2n(5XkT^7_}Cn%sn_JgK^jg^(6jw5Eqr3pv0*TV7GpG3cj5BxRa
z-!;Yz>0B4QPd_PGmVnBWlo*~Zzh{1VBU-KH8)41vV~L5k$BN?{Xb_c@2Sbp&T3)|$
zsl>6&TWEmVtO~*VA+1C9CF~j^RcUO{ZZSo(5JBIbI&7LX9cx;uUP4K2+mOU)4cx-3
zM7t*ocAoqk;#y_=I6b;q`>Rq{UZ~u5vgZ7F;&X&#IvS>hh=8;-ObOOcYW5HGp|h#I
zpXI}R?kP-ZzT`F|Ggs`q(S#q(BQHP#@0(FYIaTd|WJB3zJ;im@5wk|C`C57NG3)+=
z#%g^Ofbc(VJ8Y2w$8|RLRZKrZmdx<m=hao7LUp1`G^O<pzrIo?&w>tyS7~3Q=HoSE
z%2>bK{>)(iz-?QA2Bk?uHZtZ6<Rt7Dwb5b22MG84;5C{w_J|9pi5A}}!Id%zYeSD>
zfa+)L8N5n@9LE~6-+C25FI#;zs!}J0l!n=IdS`H=%vyhZ87hdqHq?QkxL>xW^e``w
z**dh@yuMd;zi`pxi|w_xn(`T9wDPLNhf54~I0EeY1=D~(CVlNdW<C=#>7wkB7rKft
z7<!ohk3+dd4jjr0XT>5}3DZ$*Rqo#uQRovVb~1c#3Sey&bODI`V+Zy}?KG&10yi?G
z{Pi?XE8L%Fmp73~&p(po9Ntbfk5>)qG1z)J@gT^u!5C45H4R8ks-1B&AI)swFjj!F
z)P~|A=AIyT_pj~qI?seL5H-UbkuWI%<%*9fdYJ`9+AppMu2i^#PeZTtNA%5Bf?)N6
za5<XRq^*A-eqCUzLuHIMc@(Z=bZ6r^p|v?vwjJ7M{ttG{n+vdGfn1qZj1sx)$TfaC
z3K9;~5QUnz{;n>tX(t$YHkK$|E%R{Y!@(Ag4ePdGbRJNUHIugijT@5J{g|fz&tQQj
zWNMHk0M3I>ZSzTNP^}W8zf(fBwq4Y42+2ZOI<wHMz2jtL`o#F&Ob}}JdnsCv(*Xgo
z_lz!{J*L0qkQRjYW`s?-gq_=qG<h`uY3^Yo7tK71HF#^KUJlJr+SeMsEGc7%DgG^S
zX7RQLn<{+7fMuAB%I_21pK1TWo;eT#Tf~c2S)q%B6w&}cJL2y_E#e>Kg*sqE;M(Gh
zrZML`1v<^G{XtknHc0s!e(pGJuCy;H81IOTlSNVXG$ZeApfG-~8(oB#932^YiA%){
zcyQEl@9j<Pbj>%7F^P-CtBND9PGjqsOwzt(G=0kNnLp(U)#WU4sLrbeV(vsLWnvvz
z;*nOo{EksZ1{i9qF9}J|{c>6Df~#8L&JL=RO*3giyorYW(mokwN4R<upfN|~RojNl
zLf5s_7^Qxd3#WDcGc4ly47~Zo@;bB3fT<?HITbwOn>UO&NKp{_K`6mTIAA~pGKiNE
zYAbntMMZHi<ndTaOsvhX99ojR?MdjNpYqM)Hr)`?mq%6Q>e?oUg1f~cqHW$M(uH@W
zObKBXx(^7Lap<)5`%sN8K>42JOFB~grwf77el=SpYoG?eKY~BL#W7?#O{muz%PHyG
zpN#z@^-!|5;7wyO+$1qm^yf*Ewx@R-7aH#mrL65x_KS!J-(0IdO3{9VXq8t%Sr@Te
z{=-SURsLJDR=(Zp0oLtL3=8~$Bx03ghh8_P7|y2SO%f|ylcG5D`l(kL!*U7cg3<&+
z_m68@&P?lh`5r1-i&KX@`C;Jsr|isr9Rg@NZSC!gzWn;KAxV&0Mz6{TBinqd6!=xd
z?_~_xfy6vZ2khm-4TKIrw%N?PjNl?k-aM~JUiPk^EAU5jHcOZ}B?T46T4tvr1O{=E
zCx|p^L?th#-`r%HES*z+t8PoG^9iA@7D)fbMw{F-|0)0og1#s_D-+@-t3SZ9K;e`C
zHR|$OfW^}J9~n&3Hf+EzX^T%kti~F`g|!YN14<1^a>cHW9}$YTu}G2#S7~~hdv~R}
zrz=3Qelsv|_Exf#{NeVbGJN!rp_FtYnMj+MRQM)ur@TLkMC#b>?&RB%FgKWa)#~YK
zn*`sru+$?Wj;e^z=_6i_8A}OdNVOD@!5C2EHDA!{O-qj6ObXxd^bY&>Yq%;R%1&V)
z4j%uKwEg}eEE#2S`}zs~Ea@QnDlmM;l=qhgW#Q{Cl@>gKbb2QVlU2pJxdioWp?8JE
z|2~~be+4B-COpjWC|_R<V$J`QA+i15uX57_^#FUPe>3Wh$dl*#azCkOPz-8Wa*!dR
z#;)1>GAuiVYt5j)n_FhX9!c+p_hP{mpD~Kuj@7tHw@uX4{1c4Y^68`EI2B8+j=A%K
zD|O<0o|guXE6ML;gcS9{@Im!LOI#gh?$7JT5OsgDJSnWS5)})9_t<!~dY1N`Q6u@*
zdyj3VXer&+UX(HzTm3G)>bPN4XkCbfpV?$WC-J^WTKo{R_h5jYS(8)N1^m<70$4z+
z;QlFF5Wu{V8R6UBzYsOB31P_i$$)FJ^ElR^R5JY(J6O??Gxu|8^5AOZ-sf-d5E4b(
zJ;CpZjJS;Pc%*@-X4wQKa5j;!G$SJLl~p^sf!?kBq#|i04=f`7QTWHY%9Zdm?TY22
zuadVjN9bCjES<o+khXd?X*v;Z+&%?vWg(qyF`!tuJTvGtS>;&v`@XV>Pw#@F1*}4^
z*Pp3123wb4*iC{y1;}eO8d&rFu2IGlJK_zdk(s1YU0omH6r*U>w(UaKj1!Egqtv9&
za1IH_twZImpULdZvy8q<KaP;+R{setd*V|{6hC018Irnl-#ul1E#oQkuSlpHpZ1f^
zh&4qL!2dytjEt<QsR`C(C_-umu<v+yc)*a{h~FQy!p%B^fS#kT(6eR^MJ9bK4kBr`
zs`7G4Nl7?E76M&1Z38}%f$r|$^JWM{+Dfl!DgON2O;bmwZ}*}scEk|)6|3KMoBTYz
z7`Ja)7jx&%{+8ZXPSED+<&DCsK_VS9nqUri%RElUW$&L*<YgcJ(CXConM$+&G%%v^
z7sCeG6w?I)nV{)mrq5rQS}ZyFRLx(<j!5tPT)C+x3iaqPD52(&N#h7u0B6zgI>^xC
zz2>5i1-#ncy%8*Jr~+XTADF_Po#SI-h~aQirL5Wc?7OLFII02XckHuaz+}$49_cN0
zb~kKd(+`4m44|L|gl*4%o*{{Kd*rQn-yYbr+grX>zZ2n1kpO*HY}#ab$i98k(qHBb
zfr&ph&^H8@6A~7V2Us(IC+q6!>8bTw7DEm;uEWS5Ur9?#uMgJAjX7E1f0C7zJsT8#
z#s&rv0|i~vkgw9V_+N4Y@9hqknlKT<#Py;c0g3qf22u_7kK+0GlD0RlvGC9vKZMig
z4z<H7263YpOlB(x+Z&Omx}A;LR(6G2&UwWtLP5HM=3z&Qck^=jB^X`Q)IKzsz0@O&
zon(p|GZJWPw6bTN=BOi%2yQc<-CJLwRr5mxl|B*9z<C6C42-+BCOx+)k{!|uhoa$q
zw}3nSxiBq;PX&si+w{q1=?qomh?CS(c{kaJ*gBiVmiSTJ>&dadl+f7PlcekcfRd!o
z=JA1#FgtUX!p)<~1u265@ra5cIheruP~z0@0gR3|f4v%Em-Sa8BO^8K?Qs{o6O7Pf
z0DH9V0(90r;JKzntO1>D5VPgQ#qV(xZHWsDgh=q9BwY_|cP_~3DO;6M8=w@WKU{9X
zMZ_f2?BD!5{W{d$%d4qQX_ZCRP!3?wuD?V6q`LRx+mxOLnAVfWoL{C3B|WomVbx4C
z$=h)AhK_<=)J9Ls5Ra7HZRMbSe$kQG*2EL<>z6q5gk0|&3cA(2p%_c1h-nKuG!|-?
z{IN(I22wsb9|+CLqHOg=f@9L}01g3@Nv-Wp#HOWT*Y>tc!ap63>4}eV;1#2R-(`s|
zUe74^1jp~*D{o|Q>ZlsbglLb@JE3y*1)P?=M{vEo&-wI~MC|(ug4-D#2PY*P*KtIr
z8{$V6aL%Xy;3)Z1{?|`f?&ao&qg;Y}baccQ_{b+jmI%Gh%F2Ssk_QwbL4a|-V7alc
zy_p(@dU|Ei9gdEUCddiW<_Wc?;^~x(0s;aqx2I-Sr2bF$R|fzJOjYVbLJn5aEu-s5
zmc%+Iyr%HfN#o{%(a-3C<l7QkGz)h|?<T)jKer)(>w;cl#ht&-iMiU(=#bj*sk|Ae
z!Nn*gzHd`=#m}MTJrj1rF-gxKgWA4f1W6|45~3K7D^*zpD(3Mr^M`h5P9~J-^Jb+T
zS=D?csUb2<M?yE_;FF*@v#0yU(x<r)JK6ZmEf7FjbL@}rn~Yk!ME;gr@ckL?O_C9b
ztgjPjAk~iWLtE~Rj<`h~o`Cs&*FXGy;0dSs#7n`B+CW0xgN^+cKBNe*u^#GnNVel(
z=J~E}e$+kTi|HJjsImv@#gR~La(afq?&u>Qe#Y+ZE*=594c0~7GB`H&%cJ=?-HxKA
zCw0AQyQk4e=)tWG<y=QX8-2OH4eTHGrt$I>obt_*<b?3PtSy>^erPinUrgr|{W4j0
z|I6hA=PfJwS}ZyFakz2G%H-}WZ%B^~_;>xQb<Ta4{Fz7=oX{nDFf<1t?TnV8kq28D
zdebMq4ER8<tuJ5S3rcIHulr-=<cS#LjdXo@xVvuG*`&QSG}y0*n7)+c^7dRG*&;H`
z5>a}6@<Z+yfiLfnT16g(ciEq}*Qw-T5FKPCJz?m|Npi-m5J!&{m9L1D?<Gx~pmO(*
z3p+yM8}Wh?laHq%Mcn~}y(ZE@7snboH-G#uuB95807tce;*<04gDix3t%-6_x-+rn
zvU(D^bi&nVLT695*XE&`j3B2&t7@Au<Y(aXZoJ%Bm03c%DJ{E7lAKgbN_s|yhB<|9
zcxhRgnqfa$mbAHXBq`+YEOEnLCio0R8Y?0eiNOQ4oKHf#+XYjl6jJp_72qN3dOaUB
z8)8;wW_sv_FL}+Mz?z4z8LdZGs|gj(2iWWEI)etJFO^McYXOOSK%c5T)6M3CpTX%U
zn>5BUImDDJ<T@A;Jw<6*&j_|4(0&W|0;9a`r-c-aSy9bOGKh7fIMgGH43%X}YO3wC
z)S5XgV=dZ1C^89U?X7JYX*|m&ZQ@JeMNV680)MrMFosCeP-90cPoPBkRF4HqD7R_U
z1in~7byoidYBTo*`+zpW6lVYtJ2<zwODLFh72}8IY|lQkY@-vaxtEAo`wL3lg@)Yf
zvz*#7cM7$0>B{SPGy9f_uAio5yRXQCuDow~4w42PRAB!QEc|h;5%zoM_oReey6bnv
zUv2zSe2}!=#0%rGyv;Yix_Rq(Z7jTd!JbQoxMnSUo_-`PMr!Xf?p*C^aMJPgcw0UQ
z@pYD+ZMs4_)xEf_e{Rxac9t^tL<Mlykt48d1nCDSCpwuOHz#X4`LujN>GhEd;$yg|
zojs<iF)`~DUXOgnvOsSuj!sW4-Un;}{7*ha+4T?U5X*)$9!H)GsN9Z(XZx5h?<zud
z+D!%~A%0WQwkV8<IPl-*FW9>`CysC9`34$cm5wQ6tF&=KFu679SfHqzoOCn@I>UO0
zPt8%`y3C8^uqbdMUcV%HuBcj5iE~DLUIGx9$xsQ^>|jR5x-)S3mnoCH{plmKA$(3O
zC2YhK&=v+k2D;)<YG>SlmxA5SNvkXA5XieL{)q?xYTMx}%KXhsshT}^aUmE-;Wd+h
zVBJ1RmLDz>tz<Kg4}K8YeUQud$HCjFgf40KeHcEWK-+!(yr1f>Q>%$d#_7_>*F>Rm
zU2o*6%}PH=CKwL!lj4E4TO{Jfr^*Q$g+xUVPv<Y(vj?*h5uNUQG3L+V&ZE6PO~5>^
zh7pq^3O)O0kL|j5Q_8ek@s_lc{n9Pp4af$54GY%IE~_ZV70<ZA9O6WN-oWDv8=R|F
zw}QuE1K2+gL4j2l2f~R#B3&;NOCgV`q#A247kzj9)twkaEiVSJD>9f5`Ex+&xHJc@
zQBB8Er|UJ0$jycB#f5PI`6;vZMHcyIUWzk)oJ^JF>FF?30v1y<GjVJWh4=44Hf&+L
zxJ)??dLZjt5|y4_Ho*u)M8v7NxsuWwAu+()%x7brV4ZyQ4oof<@bhl_<JfMz$|LI3
zLF^ociJ#EE{<JlEE>XLh(lmQNgB#}Ce!l8@%(IqVZBc#wRrHM>2Ysdk+Na66@U=BU
zsS`rdhkZ2It;ye16gA0?I-^Xs3zhw054i;~T5=Wwv67KYBeB!BV#z(kA3x|~Sg}h;
zoQYCRds}dYlVUJ?wgd;TppPi>OUZ+NPPT;4bswm&fq>HY_8j)di_|}?ClkKh$E+{Y
z_WQ9|=Iih8YnQGGmo*(OkI(VY!u{6gxXn%XMFLkYg3JeJn1Aqj<&WsWSzNIfhSsy8
zwWI&MWU~@0`9!uKGN2RjQ4due???`BF09ijPi4t<(TZk_^V@V|;|B{G`w19BKCKSN
z^5go$xqEEY!EYuPcd?FD0o{&_Sr@a_O?AZ$@ZN_lXY=lx5@W!GqZX#kYSSTrigA0f
ziy24`G;Q3~zv3l&X(#h7a{tp}f`@qV1h5wp_jnK9B?i6gczLn@c<yI+wOrkKU7rf6
zep%jH&RMgV=+GF<@fc|+o{?R-Xvc}sDt%O96pREq&+$sw2E|Ts<5wV=N@G(XbaZs^
z<fsY{esoJPX`2TVK5B7E$rmdh{)8;kB=4i#fT_1<zTOXih?`mUciL8qtAZ-Uo{Z+`
z6W12uy~pm9V7uhEMuo2Z<F+4S!?nvpMs2(EQuX-`F~(HSnlMk|Ol_^PZBEb&qEY%u
z?Y@V`qbxu^myeHBa(!mvKOgkVkjLy&3S($O5Wxu@71GNzkSpL#?>FR&@Vju$qzOCN
z6d74%=3ck0#V+E3iz&Q}jYf-w6xw`d!|)e)_9xkTxJ|YRP4HrHuwjf`+L10RA>n?O
zxvaiie;#2*W4+1q+Y#DHjjAyOa;fLLY9`Zh6mwmnjc0ru8aJOZNu@s2VJ?Jl%B7u%
z^E8JWq6$ZW%kvrpK8;RRv)A=|qN4WuE0%BmtTq!mj&Q?R?^G}#4Y~>oy?>KShTBW~
zf?R6x6JW|*UpyE%-95kg^g{V?C2S~o-OiQs;Pbim#n<z$20rm+@#f`mStl{Ze=p~9
zqZ}D{)qHY9Uxr&=%JsIFI)tv5Z|^3QNQ3xq82Qeh6MeIF62pG}aaoP-f0Tm8gt%Sy
zO%=$x?oGaf_*`s6kwZtmF!H(Y#GNC=o@~;^?Ce-?|HK!Sd0PMZ{pt1=;ODXfFxBQL
zAD3ImSJM7=bo}Js&YpK7S3JfOixS@cYrfp82qy(OBp#Vj6@j*f)mNjwjWjTUX6qL5
zr0~nYh%(eayVm|=1|&|3NphJ~kjwXLbgd<6Qyk<y8i@W>D2q*(?&3aK6H~DrG*MxY
z%kl^?69yCY>5eX8&^I(mNj*rbB?7Ocelw}HcWhQE&^h$Z_3IkiDSt!|KN~l9nbd|$
zlA=?@xlG8zg!Y*^C{KJkG%Mz*nd|J`ctWQ*g)5E%{fHliNrWI&BKMp=g*TJR>kfBl
zEK$ts!l>WweLSI=VP=HWC4(Xv@7N;=ie_c8(xi_^dA%iq|FaDudk*R?sw!ahmy1cz
z&S|TWPwig~>YmxZ>grm*dF8L@aJ9)(jkt~NnJ}0Wk8wz$rG()x@+tKNK4nhy4^5)*
z%V&UhzA!|wne$>XA*=~Jp4GCqy6YzW=Qe6YFTF%T&sSJo*Y#CuwkI#B7AalLX^;N9
zcCM~!chc<>yKsZwN8DdxeYTe>g{~jTa+Jy|6r8k|t|{0hErTg3Dc27-T3ZFAAGMAa
z9`nHU(Ra_s$4=Dxq0+|q!TfLXiz5Sz70H`_V;cHX?1Xv<iTQUi44iuyCrFn!h(7Fu
zY|=8@5WADS7LB=!2q<{toRcB2R(dq#+k^o_W-s#GT$YAv_b80Pn7#5lTvsThbAdWs
zySJHxEe18ff^StDH8EZys7ZXYUIKfY{)GNl{!IShDh1~%P3`T9Jh<gu?d^yINo^d$
z+%B%|Rr=Hpr-e-|kv8S_(fRGPj}_$vvjNe&E5ilh97rPEHZ6VILT+?BZ^=Y*d2?E`
zEgM0G_|YS}CP72qtZ_`;%0!Q;8%6p9_piQ{A*B`B$j&_l>U^;$vc1uayt7oCx!>-8
zw2wtaUw)TiO~4rVIFLa)%Xa-l5N1Xb&D-kYE5(B+9{$XiUsTrG)Da|xzDne8Y8dP(
zn6GlMxIiwgz7e|qW95TB|LE$Y>6hENyW8S>r{-wTSbqmU!@k?ne(n71E%Zlt-Bssm
zShmA)brk^7wBRyr)ge6sUHx>gcXdm(R<u7P)GRn?_giXdcDimNL`Frq0-+1FZ|F+P
zvhFMEp0u=0=fmFw7G!kzi9Rb8hZ7SM1?}yR$%ChkO!z=TgWjBDEw8f{ph%a9{%MkH
z4<fF8_E=QX`ze6)*PYB@EoXgm&>U0Q!5}aTw?!zjY#4v>w8^)&k|;>2al7lzYnBh|
zmFUIOEe2&|mYIlQUd3A!CdO;9cgrZ{%TRMgBfipa7a@~iOC2!S6mJ)i!$zXQc{$Lh
zy&8>@(TGG@+OA=Ubvk->yj)dlq48#h%o};a?;C<qNETg#&hRB-to+$7C%i4zg9e|w
zZ(P1_RGXIhU}Vqs)u{2f{@Rl;-@?a{^!k)Z6mIr|cz~4F%;9bAya`-9q_zl??24q@
z|IY9&pctzNSkW;-MTr$NyGb21%tFbKGP^Mze~RFJ{$t-I^nz-C=+l13*?FI-vl}5T
z?pvPFCO|+DAsIZFIq{NFcI61*mo{o2(r7(FYpos%cY4=7VTgEn-gb7#H^(a)@Mh0t
zBB*U7#61)zKQnkmYmeO@;a^hHA~pd~sg>$&i7*gZ4fK+j?B@8^S+wNmOSm#!T=O3^
zcXgQz^H|f?e=}=OiaNI@<04*Q)w|Kbr5kb$%6-%ZwVZXVFsFYr81NH@yS<8kC@opi
zA9*Te@pSwXb6GBXH0`H_o?#_|+hT(Gnu)IAPfa38pL1N)+5N|qe$)GFme0N9G7@al
zDyS-VT(-FcsBNyBfqAF<WKKs4hBFBnONS6_a2hc58Erbrl{yr9-fxG-if(G^igceR
zI+byNhVdm!>?|**+wgbH&|vl3%jcJ9hy3sqZPH)v7INro;VsGi(Ak1X0so3_C;3|4
zfYniANM(Tk$m;*o=Cj_0rMh-ec5zb2;!^=cqf5!%)}k*>9dZ>If~d`Z0e^LEx?9_&
zNS@Db*_f!!hg44X_8KTtwQ^&x_jQ-I_kncLNT$)Cf7Znd5SdT@{#_J30T_iCy;s&#
zcakG~$NT$gJU@HS=jYSa13p<WdlTVT{FP_ch`{UOTdMsAv}i#V)K2IsP!@<XJb})s
zNDDYin=^ZDTEeF*aL=Rt2Lq&P;+ppZ^D-@JOEkZJul;O6CdzC>a^LNkCTPW7Z6qJO
ziN1nToaQlaHfD~<Z*I^)uepe>+S;Nf*oZz`KE1cWHB~KY%h34cv)~d;*sRpxumPby
zMakWv$2}}t#P%)6o7lGXdV>u+(N}4A1ac~Cvi`-GU-#c_<%{3bqihTBqx}__%{Jc0
zey#+Y)~~TSXtC6p{39cMx&oxz<P5d7BW<#MWU!t2{ccyh)*$ESbvT%6T3SV*?-tm4
z=+A3S&N&n$U01UP%^&x1R{vsrY)DBore<aek;a)As^c?EZ`cgF`1M0K8Guw#F{pO)
z%FEN!e0Mwx?58I(6m$cpF$<JDaa0RU+(2nQS>EmC*r-W-t8G(J#9_G2eB_!?nnQeC
zhFHVNBuTIGrUt(ub624Jm6*0PwZUBw+7At)z`H#vL&E!^Fe#;AQ+B%Y9xdoA8Z-(d
z*(1T8Vca6jreAGLU(<D1v3=o~RU-Y>CP{{dpik};;XduhUbZNDc~6|=HtUAeio*Q#
zeG^;a3L;AvSc*sT^>K01VO!ljGknbHKq}?rqCDN~Cwl{!HqSy7w5pH)67isb#Q<mI
z5M=Ge))u9=Wi`ku7}gS;wc>=R6S*~#dq}Y}FnTm!3zsQ9_M37+cr27nR@%G6*o7;C
z0qf%Y`{`(t=+ou&e1km!px$*8tj?*A)(h57+Z_CxMl%gScDZJ2i%BlyY8|v;Zvjcz
z2}EEXqveIdLphuUWBSX#t$8Nhc#CS~HKn603hSB43bw?))B{3A8wx&7(t>3phDF)e
zM}bjz42uZusz+iC7ThQ{0m#nP4VA)csr=v1q?nO=s0Z2W{K<K3SaNN47_2F$n?*ce
z^eOT1xOFFuXW<8@x+0U72lMQ^WIsF#e0~zJ>>HI^7D2RFQcJh}CD6Wv8hKdx&s@-n
z*jpeJ#z)n~vd&8_iLztDDt~=IX6<7f$qBZ%xBs$lMou~Uzpv9g{|D|jHBEW2qN{UY
zCP+uzXI+0+Tbu@n)1h6dR6uu|5-hFA=vD|jq16`Ef9V!w-0%hCMsJy~+}-Fy1UZS?
z6+2?B>bxt)FhpZUl*8~@3XXB}?&|HCGwo?eTWYczMrMGA$=vT1LI?I7&4d|yYcOM9
zHKpw9V~+Ts7;7)MmdKm#LO8Te{X*-gB$C#M<)0==ZQkLzYI)s2YqSuIZCq+^2%Ydh
zrrLyrQs+MKH~61)+$V1xEvtA6%2HrckB1sf|3Zm+C7W4V<>A@wF5;QT^UM)#fnPxb
zx5xk|*N^Lc*GsDVOP(qwHaieq_3%fJ0@079O8NvSqTtT}OD}f8*x2|t;k{=5BuW+$
z0B013$naa@CT77q#c=f$NV)iHh)OzLekl1M3V(IEDsj%qm44V~EeGy-><KA$a?(DW
zZCpfLv$)DjGZ7y2<Z}4cMhzEFA!Kx68sR0Sg?{QG1cFc5?FCzS_5dq-CGdUDTW&of
zQ1SiVzFW>M3Gj^(E1te6<R!SjyUMU9KfS$R&AUxguqVBY=+9Gq7?J*Z_e4I|_UR@l
z!V7dd4<zQdm#d%O)Sc3StP}5^g4hT($L}JZpS!RUU;S_4b?1yALpx>gfxW9Eb5vg*
z;XBksz-;m<<~-ezoJNb@Sj7kg>_H5CHmRP!_sNN<2H=sls319T!WK@^n-f`KkuRx5
zk&~bFT7feNNirbLqMh;PQFt&-aGn>}@fM~bx>Hnk#*Wh)g=ubHl^A3870oiQkDPu&
z*c2tsM$h7)4AvpHwlV0+78`*fxnz(L0^}`tYn#9NF<Wi{cqY7N4j+W3-752U0%1ja
zO!&~)^j{@Y;U7?r{+k7`b0lWEEAQ=KEaf{vA>xg`k37OWZmB&eRuYx>9d5E(2Cr->
zspX%S!Jk4Ei^5d|J^fM|2_ygm87$)iyW3VGt#^6vU<HcbZFY4n#_o5jeN4g2E2|(R
z)uLu2ZaSe)h%k3rG{k3~B}vd0FueqA6bvH;{_cwN8jz5aQTGlKibG>g8`^RyoIxOt
zz$f18LBL5MuaMAFdH1Au<b&Z^fGengk-w;gm<9=J>3^HQHDZv!3|)B+l3H8#8Pn{D
zPF50?j(?%n%_4)XDlqpXp!YOK8P3KWvdWZ6aH~egt1OqO9e;(6Jos<j<`yo@U15ew
z0et{AY=l&BxGHf=gy45LzTXScWu~B~g6ZZN(FBGr#0D<F>Q-5dJIz;x(x33s#;K;m
zGkx6F?MC_Y<yTG+FAjXDd?p#Hg)M)`4h*HITIyL|FnU`o^Lr2^3?3{Yz(IED;nDB0
zMRl$B-X;IuXU5Ny&Iw99z3Xbj6EXZn&yX;PTmW1&q$!ecpP=Eg@EE<XgtX>MS{74I
zg;kRD=AeiQ>`Q3BXl6SP7a-pk<_Kb0ffdRv9Q_}bFr=LZ=nyi-tp2Esw8aXeb?ITi
z?44f^V>Uwj93_V~tsve$#~Iz|CYqo@5;54>ftpy0_H|snwp9}Y1E-yN3$(i1#4x_0
zUXP(e?`zKWS%w#{@xhw`e1i|YRe|d1E60)=<9_^3%^!prQGG-ts|vWLBbqxER8h5X
z3x)_cJFV<L_+BYpYf-72F==H>BvGPjxFa%wPRzcMNxS)w4EKz7cZgC<Uvjw(6LKMN
zeq43i9*wGAX=Zx+FU6uM@n2ydG1}+<66lx!jW!WW`iw(QUllh-)~Twl6V1H+@&D=-
z*~!7{Hng674yLka*S{}yca5^Ni(HA3y8(ECOA3^F2Wr<Y{APf$Puwu87?zh&zWsd~
ze<+lepSBgu^d7e3kI#0Cz}e!Ae8<bEyz_~l+p_(=iBuJo@{0;R8VA3CwYBkpw{8^V
zp{r*Ju1l)k4-@bKyYt3hK*!z~Q})&GJTDvz2btvJZ;~q?(BEc+*Z~S-JT2ki&nK6S
zH}j*b|5Ag`;R3~z1EOIZU>hCGV87oQ7#;R-8pWrZAaDH2GD8ExuTG%hW`udwNCzR7
zJqRT+i3LFV`RI}$P<HA_R_Tnq-SPBg2;GxFt4=}_AboGn3$)i8b3SSdbHLm4CqWFE
zBJ@T$d6MUscQ}(b=h4!VV!!S<Yrx8CWA|8Gn>jDAr!17aR6u<UGrci|-P5qaQA29}
zuk{L$Wt_P^TLo2r09|?Up5dnkg)+wsxLo>{7G{J8H>zmTq(6>dt)#3yp5F|8%Km@6
z+W(%J^$J*;ZUP)o8*Su<;a2J~W2ZmEk>rf!<7CGKXa|>ZiW}Rp!fZqz=M7A1D<AHp
z1t*@h8v9ch(7eC@N}!7AmcfZN$w)NgOBKKAMtKe?-YqAYS1@<w$SAM{gIF{GBsnu&
zGFgzuL4VNvtHTl`RQzw`d!;5nTH0HbBq>-?`-P5JgcYTa+J`72zMg{c3oiD^9$vNF
za&TOU4&;5aS$7bHF`x-)9*^7V7sdgfsF}5?70R}mIfyoV(=gOTj!(*0nt|hRww0It
zm$Dt}ud*GffGGe3`&z8KbWW{SfH%<h2dZ*8(aUpR`CiF<OoS!^x@LdX_aXG0J_OPw
zmy1GrVV}t?pkX%cLna>}?|Z@Hk6t6g+$8-LNmp>Y;{fW@TxU_BaHB|;6v~oDb{)db
z;2o5hoIYZ2J;K6+xPLBaR_(>*3zblaIKt4*l&WojC!kq{Y{vj19kT9~ySB-_p+u$p
z6PTBG-ieQRV_I!kEtd=uB`-RK1w|zI@t2Q$Xp~K+AA-;ZcETnXm#LO<dm6%$X$Lbt
zO8%qdfBu&lawpjMi}RhT3w)ffaO;Qn@<_AL=NX{^9SWdpVW6c=vXt>`qd!4^UU8ru
zS6pxAck<o=ZC-kbOjAsq*A?5r5AQF>8B`(O9I3C&LXxCZz6T(ZwnTDL5wb>V@Bv*D
zuv;=tCG*JmF{nkg&fg-;%X<>8yU7Tz4EI#3K@G%4Wa1NC(khmpk*Gs$Sr(CbrQPQR
zF?;eJasU>Jn42rw{_w+4<W7iXij<Wwn$kmF10U+^yi1LLttK2;jSt7CU+BP@obUcx
zVDezEs&P0l-S(|kv3D;*P_kKwD<-%JlT-^vnrd}c>#)-_mpnZN?<_;9!XfqeT+g;j
z{99^}BULn=w4$yY;SL`>{ug?mP{X?5WYDH6Lo7QuFFM)Q&{hc#%srVuyreuv=ggN@
zY?~lz#^nv;Mc@WF@0d};5pYE+o4P+y=NInRx&{0R@))Zrl1AUw^CeoIP)o=<aMBYR
zU`X0~#1u47V$keY{||d?N(|gBZ(_{s!&cz49O`aZcHWGIa1GL{Xxh)sDnt<X3x&US
zE3q_p1y^%<{G=}6I>g5<-fsd)_m5Scchq2bSE;)hfA)YJ1so-WvcJB3^t6tNBDsZd
zlM3smii%#?Op8kU7mjxbtX;YM*yHOk{4e7ILdFj`0#AtS?aPTkkDQD1F@kmIbaUMF
z<hRVpq*u%OzmZDztFfo_usY8WA$pl@DlA*JNW%|0W)1>kxGi8uDtrYXDERO9A^86+
zs|EsSN!uZaa-J%H{KHu}IN}#Y6dvNY?=H8%D6zzTHi3@dHRD$F*x_IsFWx?f$=!^+
zTU^zOle*<mY>*=r=%hH`W0x+&+m$+mj=oy}R!YD27sn-U+89)sFJ{3O<tIohPbgcv
zn*_C_Ql0alvh?ByorcYDU`pHf(#{-Y-eOksckRK6QP0te=Gb2ca`LGsk=*BSHEYJf
zQYZX{X*57o6?gdMg<wCXi=u{z@Pj~}2fla#FFwZm{j&eFjQ?xC90dQiMYO$3CI!am
zt(zgkFJlO)gr3ekay)xqkr{XVPDE)Ub^HRum3j}NJ?g8nZ)0xKUfcGEGL(m))KTZY
zYpTgMr>!f*aVKMq9j0k@DqdR4j#f>rg{h=sBCvi)d6Qhb=QwZV3lcb0u);{A743Gg
zM3^gKu@Df5>Y$cAHN3(!tzN=B=t;xkf8n4YfB7tR?O7;$LUBI3);HscHjt3aHv2Kj
zBjY?9FN0_L>7zl!u)Z%KGyK1s^8c;IAO^TJ26kMQCctO9I<PF|$bJWmE+tk7yv6u6
z98J-QPME#BH5(Bfm3yTudFEDkMy2twGal;VttUE*Nri_S85iu9$wcXj0_kW1TXIYo
zlwp=aVNHV)NYeqbaN3#zadb_@sxnYFGk&lRrZ{)`{Cf%4j38e2$!;5r^~KBAXiTep
zA8q0DZecICgq#?b5LJ>evsYBQ9nanhxM0U5835@PiZstSLYvakEbMzQeo^yEE7?{Z
z2XM>(=XwtQHrjdw)0O|7XKIgQYBq6Fw|Sc&FcwbXy{pfPK(ljtF*m`;VqO9X{}zmh
zVDyXv5ddeFdJ&m%^CeODq*EzmX2s@(IhEHFCFPoX+=L>dX)N~(ZR42ezh5Wl81)9q
z^Etoy&&(T=`_;14_YxpbiSw@SdJyGgM8DC5ynz*@YVP3u+m}#p^{}!@zUM^7pfKMF
zWRh}U7}`I9!6TnvUhz98;h<z4c7ewZ;c<A^C=p##mlx>?8J3VJNS#xH(3oi@{=-eW
z``fDW$o@(A@ABY~Yvfwns^Y+PRxZwNWM1^X`Qa=<ADs!mNVBB)W`X50Paunr_@vq8
zA9H_N_2S^w)f0P+q!gvch~vcg$&rwumbhfp#YW+qH}jLiL@B!jo^fh<f-+FAw#~H|
zX6@0D=0{xf@A)<P5BB+5Lyi{|ng!GPPaj`>Y~ju0op-G{<oh6?++%r7A$NvTD|kZ5
zy^215Bd3BPVX`PC;mT=+=OwmV?c=iLz9;)`_yn`{pUoZf9PlVt8ZW6tuNJU@E#*ml
z728F_px#tpj3!zb9RsAopOfsC3A1DtNNKNmweuT#tNW214znGO7xfM+3vZFKMb;K$
z$M#UD*|Fs}FD>D_Xl&n&uyzXIsd2<w>@y{#=x*diqaaFa^2J5$2mk)`z-!8?Q~X8+
zH`AK;Y&bt?gA5@JA$LEBs7w?7>mtE=b!m9<fvawXu_cXfQVbJ?&x0_P(-Y1>>Pa6-
z5H?N0YXPs|%>;Q${Jh(X!6L(dAZtTpWr0&DJE-3Xz+k#*u-2pD@xi1Z<})2yPkNo_
zoogh+7PMA*y64R=epHiolQI&nd0bivn!7w5_)1%BPK9OB;p>Fbs*lcJ@q)vlUh;Gz
zlKcZjTT+3IV+jQ1Bz!VzAj881#i94cu4X=_I<Ze*<{9bCp?c>pA3%A{Hpdi^a&!sB
zCV6+lhYYKU<B=>W9wHchP!bB>HL3Q8fWpB_x%g#j7ZAUAf+y}u^+jqWneUyG4QmQ*
z`aeu-4f@~r8y!)}6BsNR;w&eI4R)`2gU&av9^WNWi)+*Rz%C9s4D{OPY3Jb_5mIip
zGe%Ov^Oze)2aWbrE;#n8(8qe043<i%7@8=qV?b1vbL8KC8>5gMVMFbIc*IZlh}feu
zj?XdGhBV@k(1{{v^n`F2Fdwse0{snP1{yZCgjszKzC@&7XjM(rVG=i__u?_aPZ^LQ
zaB}Es@ULTfTfE^T2c9Mgk}l>qM*U<3-IM<%k}^pAuMYK9r(v>y>~1KOf+7hCHssaV
zPA^uS$V9GcwGI6!7YKzOnl!y%sIL=2Hx|$|WpkGtJMZeAu9PBuIB@BPL=aiR)<PJb
zVK|@#A-g5fCcH8zk2YfXqCT)@$+7Wbb0QqJH1dn<C&6kMy!<El4s2=plp7I^GOjOG
zt>5eHeHVXTdMfrGC&tImKXqY0xf}Hl9FFH?f6dxEPCqXD^L^y|pYIi1Uu51}6}J=6
zPx(2+V1*-IKVW!h%Fz@70$HihwWMy;Wxw&3U7=kl6xu<)y6M)UNv?f>DT{9)_X?w#
zX@1+wH0UdC1W1pha0oighun`UkJkSydeXic5>0VVKkjzPNZnXJnKb+Xf^ggCRy(I1
z{a%H6L|Ciln*$fNDSVO?yks8B50$_W7h90$H?EorbKXocuy)Db#@}Jecl4IM?sAD<
z6r94P6tU<$v@?DEH_k6&$wX0o7ySZoB8chd-uV!8mw6#q0*$g10YqIU{N|No#N9et
z0B~NR0DI<bX!LS+XHxYtyNxBHRdBZ`nj}~1E}8>J<wyeS|3r=wv2`D`iFP;VJCgGR
z$SGD$jt*X`k93VIkYNGYE-<(9)LUr%B=|EAe#qUO4^XHi3OX6Zvci`TNs)ubd$h|t
zM|4Nhbk}9{S&J)p&>JsKMTab4E&9p06gb0^uR6$9c44u!X)S1+3Yo{&oezi?KPU*)
zzL%!L>eAni{8A9N|H6u}!!8YsRF<3S_o8q0CYB~WITLghT9;Bt3g|ogB^%iXl?X87
z1ZP>z>(?Qgpa;a+7wocuNW>1dnB7ucutX`Z(+(wjVuDcpwlSm@MI_rVggEl-s05tf
za&x1MiZMDc51QF6V-`%e?Iq_wsi)Xh+|Vif)2cBl0Po3{ZTg14*~my_TkIJniPPa!
zgz$XVM<c38c`(iMj|PGzh9_^UIcq$%M?{Sf?&Ul!hi_oaVo?(LvE<nz`fm;6W&>CI
zgpma5x8@XJcS_WG(r62sB$?3g%{Pf(Xc{?Lz$4}JjSbq|ZJ?zw&)c8dbZ)o%EpYe+
z5l%e*q1a%mPGR39is)pJnNVWov+(I0ckljnx4L?m)Er(v;_=%BFE{`IQkR1SBg0vd
zaa~?&{#)ny>Q&6xQ1Pt(T#@iUT*FVa@cmBaS!jjxN)^c=`VrRPm3{`XqI8|cR63W%
zDPf*?7@U}b4Wudzl^!v3TLmS42mD6$w~oq;qvca^gQXXGi%MHOQEinEPQ1jbvaqLT
zC<M~zZ9`#m;c^`DE=&=83o1V%ac$9Qk`!%HN)H>p;UCfJ+7*MdIeV9#Do5M{BtszP
zlrb%k1a<GBNQ$p9W=xAAF%e6;(ZsGEmp9GqzWBg!wvq4G-9}xQG}Sqm7ImMa;fDh$
zq>>=XLp1oNH3Fs#Oc6a}Nk<O6*fObszV~rKo<A7c3xCm4zV*aa8DLy<i(QfGjNePX
zl0Br!j?)p@#&3)9fAf>}Bz9g&h`-*S;hiV$9oILNRf5_KZ#QdoiNC?kX$n04@6izo
zR^!zc<N`}U*BxzwUwN<nwbus{^uK+oC_^A|WwM)cp10CV@kNz?wS#=%0GhwoP*18>
zVloY6h}6T0-5siL_G3v%rlKLI5#7W&XBt<!;oe-<^11R?V;b+3O6vBAP~tOsk#u0?
z4{sc{=M%leM%bZ|*FEVz@e7K0i#)`<4S-DRzdmNYfUuKEQJX}iK74+RIWZRVd>1Db
zMC_pTQ_S`CYwYP-+lxo>mI+3;Uqt^nz}~CyozLjcK20*$tbctrZv^;DDo^DMyuoh=
zY;5eYi3l{RT;$?&r|^NEA?;>Atw~nY6_WDq$PgcHyY;rVXZ9MPKlNGFfAlH_LQKXW
z>-oEBa%|6;hjaqH^6<DsnYpE#um|~1;VbQGG=_#k#)sClJOn3V?q|vlXD4E_pF;Z1
z@rnzkw{-kdX&UVdGH|OmKVIaRDHx%WfP@uyAaXx)ijZOD-yXm1f|kEvmo285uHGSV
zgsiY>I?&v^34IS!ef|dpxf_fF#A(v5@2!BNT|o<L4UVp4ID<w-HI^eEJa5#O+a8ej
zc~e9PfH|sInI&2#B$M(e#?G2|)Jt76&TKMJPPO9^NkPJoJ*Pr}oLI%fi_m5sd~s*G
zgdERts94#7xMgj;b^qv%t$DzsJt|7zk(c&*R%KAUk~H(}hf~VsHwpl8K9P}fcPKFZ
zF}vKjr!g|iW$x&;^)t!Tcr{kX1^s6u87f+uq|PTIw0h2(bR{-z%{`+b^?!uV;oacB
ztt=4L_tJk?BMXb4jBHS@VD>I&CHsu%ay*h<;Tm^$>7n*3O`V{UC+N_qU9JD;AgLrV
z@*y5epsJ;72wsFIu0NOE3O`OXBK_y)C<?H1yp>B*JJ`m~ToCc@%?XRE!;t(DpIgU_
zR!HBMl9_N%rlz$wU4=9aZObp%P_Dcc&27|DmIVZ7X?_$V)}Bo|F?f*PvL9So5?MNw
zJ-t%9a2bPegxJ)@*Q{oq%&VCy=O5u2Qiv?DFSkkFmVXgTcgkWa$~szx!D(LHW*<br
z?oDm3el8>@YkS?E-}(XVv-}!WcQ1eWE<X5&hy+=G16RvRwmM><5;i0!fw>!7{vCHt
zH|s;6oW`sr!u+mR=_82-FjLIw<2mn5&GXzI*?FO-(ASj^Fu@FZlp;?IYQam~lr37%
zGm-zVmz()5!Eg)i>P@MYrPBE;4w8L%C4B<fx(5cP9#_Ie5$TVu1pAe=rVDPMojL*T
zo|XF&s=vPd|38Qh*;N88z^*WCT@Y};vKe6<`5l_lUCr%<afU&@v^G<MLNSaheYfqE
zvPz}|Z<mnOxpV9d<`&2C;veL6>8e}})*G8A#mvvx!EXYCY{_<IC<!S9!HIHjNHM5u
z+U66OrFjnNJafysi$6Jq(>XHZw^fiGG6_bj*X4TW?L64#bVke$Gwx+7=LSG|J`MLe
zcy6fPsc9a0BWs&*_lBro9kj+>&al<NIm$)ZB#|6Mc#OW&CBEs^)NGl>K)3rB!nJ}E
zh@z|OVUl-H0IMbdUk6e*+^gFZ)8I~+w4mWjWXFkJ>-b3ES^ip-Z$7`@oYbdXpi=jx
z0e@+19T9barS9}Cv3X`zocTBFmIsI_Vb>nI8LyJ<jZXY)mtU5izf%%DcH-ZH4yKqr
zQ$op^i~Ob(lNawYAz-l+2Z9*LP4wVI(t8<~!eewzu9Ju*oye4Ow5hh7K0e;KOF3Hg
zg36&W444=~2SJn2DM^o^o-*vwf8CqxPe25%f}~gn<bOYvz#q#Z6SQP`2i#c4DI=b(
zjj#0}R<6)p@YNL1h|S_!am1`pMw-NSWERak4Hz_#&G<0!3FAtd(8a`VqBaX-_nc~i
zL`%k)&|Y%K%g<dF;#1}WLknUVg&Kg?ph(|r?njK9VwPl9PfY0kTCU$U+3NhI#bFg6
ztov+yVG~Z(S;mm3f5fdR!RHQ;4;p327!wM__(ev7F5q8<LA<|M7L?wU?|*~;F8CjE
z`*lgxPLk9KNh|%odywN2m7%ao<~PZ`2e;2Xj`JEO@<|Z4KmPM__6hAPHk=!;d_eW8
zLPQD$V`jbnG+}`_F-!7nfobQ8tW>TwGchP&x}8#}`rv?R+y7$gt)rrByS8zq5d~?a
zOS(ZCMv-o$yAhS{PRWsuK~hS(yL0FeM27AjI*0x)@9+Dq-}^q#&04Gl{K0~2o!371
zKK2pTpeiN;NJ|OeNAfzd)J^S?_0xxzVe2d#sB9y$6<%NuUzH*MYDhyVdEgKW$%2$@
z!BRfv!A;ywd$#17i#2KTo-G&AWYo8uC*R7u!(POd{>#_}T$(SC$kyi(0?q8K|3Cx7
z_$vWxW-<6O4b!G6Y>eWKPQ>@`@e#{Q9Rbg;p<Wbje5jG8uW`)fmX$lL_;QA9Uq2-o
zGNP4FfZan%pZeBtE2@1x5vtA!uq5&~*zC)C^J^op_FU(i&1lJ8q_fnv{qnrma97)K
zw>4Kzy#v0y;nS(>)K5xiS=jgN7ygXmR0#Gl><5C;F*=Xz2MU|d2=N7M9P$&--s&Sd
zF;C*bhcsE2%)klVC-5-=ljU2q(lnedlll)ASMSON_$H11?JE6=BDv}Dv(fV7-y%(n
z#Qw)pR(<Nr(F|XC%;*pLj6Q7&<U;nd?3|erNwbONc3(c{?VFNZ%!7x-)^HW{bnC3B
z^_nV-u^34%Dg3z%vdplM;`O@%R^pH~`wB5CC$^y#a^3yf#tDt7ppKbqkebEGr-kpW
z-$d}WxddThhf{`)jN{$f8bNKS^Q+?5%Uw<PguQ4-)Ju+;w2>7wVj_W(^AL@MI6+dA
zS(hhhV0J2MIjaALX(UXN{?3#`0r_6QKRHeHl*qr#3g7c3WWB6y6r&$+hlE^)O3C7C
zH^Yv6MkB;GN|WGe>at@wtB}(^$fiJdpPx|Yk2x^p{4rwP=kr{=<;yl?OYfb{_RPb4
zkf03~^Fx1TBaJ9!5M;uEjJwb6tJ?^OR25m1?fItR9&7bjRjZ+RKf}jbZxr#xOy;20
zqUcWUe3!^~_%*i~b8GF1q87TDd&iGKz!KK}HV7%4cc7P+OWQVNQ2%-GXkB~{v+KWX
zMBZis7pUMknnp7nF!uk(H#vYv$&q0~LBiF@`5|_9SsmASwrxGu6eRuj<+VL#{N{{G
z79Z(FP=Vw37OQn6X;m)@EghrLgkk2B*S+!0`%WJ`s(97At{J4%!7PMkB-4Xm8S(8P
z%!5wV=$zRqESyadjaTo^`_m_h=~!s~stPymtL%u!^3|~^!bI2U6`A=5ic9VE0B<-Z
z$v2`%pBQ!elkI_#D4K~IR59__aUSUDocDyKz!kydwm`*1i7G~Wr9Jph`$_%3u{D0a
zzbfqWV})%%zJ=gN!Y)B=*<(4L8&gW5i&-06#k`C3i3BgWO(hacPG(DrJ$QEH*)#rN
znxIN%wk6PQZRu6UoedFG92WV_y^s>2-fKeu84NN5&J1z<D@DnKnY|hy(Cw%7#vKHF
zt+Q5W29C=qAM^{7GMDMgEoEfDr%Or6>eOk(vdhKKo*}PKJ_1Au$gMv?{XrFICz-<o
ziqEOV-b5>U5TS(;e_x?za}_b+C_`1W*{6{>X`m{L|L^rjr6WelL+IpZ7f8nxLxS9e
zYyxC^UA&Q;F=FiYrf_6rgc>j6M``JEx0ZW2*`}ru{y;3JoglduWv)?$_7d5+b*=8m
zRCh&0PKalBbKH08_8qdGUYA%DWq=ygdQ9AC!bsy;hnFSed1uQ{W>9`t_1vW0r~YG0
z1ZnDwoqrL&_s;4MIk?q_S0jCsveN2}MDlA4n0=p~3Am{lWllvi_ISq@(w4I><H-<y
z$!_e`MRT7+M^CR5D&<Q3q(2w5q>7HVWxdvHK_J!cMWB5UnqP~};Ewxzmp(9?G+s9k
z&7N9JOg7v)zBT9r$)}c}@m~b3KJ+Od8A$-E*nR?rA~nq4ue2tD#1b<_Bj1WrYQy|}
z9w6`znYf{GTc3k0S^7@kC)lyIju^)m{!9e%@W&|L4P!X7|K%Ct%oCJV{s?5VdY-8M
z{{#7+$jW=(q0m-(E)WO@kVt&&h~NwRm}u?gc|0a=P$z39UbG012z{%#e~(vFCFz8l
z;(q7!^AS%aD9(|H$kzMesi6yGH2uAdY?0hbUMUg27Mz_7C@-Quym-F)!J8^*kl>*L
z<WG1jpjl$AqP0N(192krULhe>x2fk_!xyp2NwkN=n-qqc_e|L4!omIqvTM^C1Qi-h
zC!g!WzHV0d>yGs|>ezxz>4!06nqJOFVw)IGaJ!({uNyp~H}d+St`lhbeA?k{4ydG4
zPm^|@aGSYmf8l+BEqRpr{(L%2_Hse`b8XgPyPrf@A?D>`MJKtn*Ii(I`hPWSKre8G
zLRq%t7k21O&joH_!!vI6z%@5FcMv4<k8U$?P0yn8X-K5A*xTEiTEy#Eeq_@;+e~GE
z|5Gb*FdA)$$mjJ67^-e>t;x$M?ghPD^u>zheV7=Rfrd4sbIo2hfCn$qn4Z&2YhIv<
z%{n8>lqa*#fh(}(d}W)aI$Kb0D`465UECr{)@Uus%iBfwj-Lvr+vfaV0>+Jko~7oM
z&j6w(tH_@W)@AtG+$7{*10~lbohY3N)eD(E2Nkp?(pC&s%$U9ZddlE+L@hKUXHaB7
z`|Qh^8j0^Fm+&qOvs?l%Hfz>!@6D(l>3{pu&J?0(8PHEtUl*w5=H~7IA|unuIcW*|
z?bqNza_Lc=r7^YMkdTm}99n@a(SI&;QF|mdvugB{l9p757Jq_Z3o$hUm9?Xe<|x4k
zkH`CxFu7LeV(0I7&(;QI6l4f_KVDM$6)ctHM79imUeoraxpTJ1puzh#&yXu9fRD_^
zaF_Os*iUsEx+_ndZXp$y-F;pa?;gZWr82_!U71>H0**ROOI|FRPyI2rJ7mJYv(pE~
z*_Rhl`e=B{y##*$r@*oHMl<oqH^Z)b@}mt)ki~XIEU7XxJYq-t@kMgz`^p317xS0I
zNBXK<zVgr2;{Rn5v0*}D<-q&mm{(Yc0pz9-&8V0Q;joYOxA%}cit_P&ZE-(ham;UT
zrwn}i)<;`l%9JUC5D6ak)-xNupkBbtL-=cqy_=bt13A_24Ofvb$bwa6Pf?ZUZ+1sW
zZJ37>7;bzVba&p3UnL5fydhPU!|mJdqivK(n1?du2nuEO9u0&B*>jy<nr|vcrjDMl
z7zO)!r!rK592wHoaLW6?oSACRnnvbvKvyHRf4%t~dHG#`C$k-#cETB_$o}hN1s3{U
zm}>n!fsN&8_>0GvCxQC1m&+1fd04Z(+8gk=oE0;yQhny?8TC6prNrugc?T+^F-sd|
zOLZMIj*Ha6amrqcP70Z^xeX24QaHc|E2kL;tK8pNv@#iEXGXqeFg#f44@r7z&(W>4
zX=Xl|;W{q@3gw?+vq-9J3k)*YEVxw>al10tljA~jBbry+tcqPOe~}b?hVb!uN=Hw?
zNb~^_ZuC3dEj+=*r*fo-p`qpj4N>$(ikPkbw7e&wnh$6QBDD@A+Ij7l2u8OzVW*RM
z7+-i&&jeo<@q0a})34Kz7kR#TC_^_{uBO^*PYXA`eZn1-kV!6;vtGPsl$?`THY$^N
zkD^FKGNKj1WW<WhdGO!!nkX{T&yMW#=a)769D+#S80*$wiOi-3QHciAdE*lk5HN{E
zT4LFCCh_v}es+UbSMz*d^a_pw-NuFXm|pm;yy6f-GM+r6Goe43ux#i)ay3sF53X7f
zwNvMF6p4U7g;1mo-5;y+Rn=p7%q0Vt*P93aG~4&1b|Xmk<pXeP$0d6Kb8TF1H~p%&
zOL*JNse+0zRXWcg1EFh^Ge~{8pDe}H4(YQKSWK#f8ZrwgVz$*XL9Ey0oeE;Z2Olug
z>A+y}d}_EE%DOrU_<S<m-&B!P(ZtM@KrZ#!uTQK21%*WQ-Orv;N7IVIz#|*37P8#R
zF>bUIei5Ziq0H4O<S|$ZpQ1&YV-#;SsIz4HEwdt@=sTSt&MK-AH?ogr3dc6jk;oNs
zBP6G;vpzOKYO64gXKF&IvTh-_mRo%}RaIWYu*W;FzWDa=#bY0-_aXcLy>znb@Z`wA
zZ}~`}-Q7WxeF%{sc~MdUizEp0A01a>xl3oQC*-@AtHn}yAZ3|zVv5X}=-jYtEG};n
zZ7r>w=4QR#%KktmPoTznY@sO9=h!|Y=&^dEF6sEPj6jn-{l&UjKXttpWYv3Y>-M2H
zr=o0Qr7{Br)T)Iq^@Z%$M*YgP3xVM(ee)Jx;~QM)fht~{1{xcSz^x4np6BcNN+LMW
zxzH)eY8$G?0PqHL<eYTEb&?tNOh}vq=x0uk3vVvjdf@tukt?32l%Jqm8=AA}8#5s5
zl(bdK2%0hA<{LWYAyPd-?I}KQTJ$L}kfA-{-{J(WRZKLc)}XIuYjC2xOx0#2LBm@j
z8|2J!$_1LWifqyec)tC;u3HR5ITyn0^4oUXw!$$+r<a?jdrr;b_j;UEn$p{G`9Qsb
zX9Ywnv$HxRv`NxQGp8cdPZ<wM)4J^|8q8&sn(!iEz8G*)au%y2nrwtiJ{jk)Uf1;r
z0zVj4UkiYeC{<^tWP(?>+jR4o=v4d~GD=wlFEc@;hazt_7AtoO&75vzg6(<b)ANB2
zo!@{|D45LL*o=iIkZfK1mykF5qO-eW&X((bi8z|~y`9cwy2SZe7Pa4|VIG~4MUZK)
zT^5az3$IYd*E&beMfLgx^a1o<ubAO2aap{7K}hmZw3O(#vSf}eT*z5Qlku9mKbMmX
zcRO&A^!_Q)PI_yguV2!=*HN-kJbdz?lV^piSD`=W=~vburfg(r1X-<jzK;hE#*7Y1
zt)kVNG>66}Qp_8nfzAy!y}?`rn%G$FWhdO}$4^NcXRVt7lS{VCIi~m&MX_HiRcq+3
zMw{<OB#ysNU~Dm(Bi?*U7o#URV(^Z%^7@OaMEgXYiM@KkKrjcc%C{hnq_CXXpU>`H
z(_e>hi-W$w>5O^aP5Nf=oh;G_`Vcx~Ary4LU#fn&p+$^=H#9}Vd)v+i`pjijUKE9!
zC3K*nrSUGG$UXkkDg3XZOP1Uj3GNl<fk>@!wj+=L&60^ogh8Ajg#Wgz5=O~+?+4<y
zo%{Nh`uJ_@=;*EOxbBYS5z*4s!a{nasudO0<*_*k=kjcj(6w%Sd4Iq3GctH~4(IzB
z$M!wca)#>LaAjkeSW=T8$CtWE3(!AL>m`a#;`xm2Oh?hP{?sqr{4$i4yfk-Pdt!n%
zT6ZU_2ggmjcQSmnm8~?LqPfaE+RB<1A}4xvGEz9iI#CEGhR_L*XARBfi2lr%%9>3l
z_GDNq#TT72T7;rR45!Is+m4QU3x(`?<LWAJC~{FP#!b7D;>Nl0zeDR*Id^%5LOj^Q
z%N`aT;_ttDUSaLk%*pcOpG0GAD2cvPgLcSxHNMy_<LsRDAxR#xA`z1cP_v6JMppS3
zEcZ10@1sk7p;FKH=1s`SiR0_Bt;k-lHTLLUOPXY;Df`PKz=T6oC~Yhkep~+<HlA|;
zG4_k7Xupw<Xk-(unGk?A_};p;BG$l6?Cid(e*h;6@dt!?Z9{{(mzUnGp@xRWkNkX8
znHWkbU*G%S)|<hNjXaj$fQiLTe-1aS$#$NfT*wIpFlZ1iVFQM&0e7UUB;$&nP>4If
zsfBR(<K6WO#l?g7Ps`>t^`jRr2<d;ttp;8S54baoSNb<~dxs2vqZ05sk&Yr;>_S;0
z!&uMF=IXOrYgFbZP_Cz>_4H84){GcR;z*r|o+}R7T4>HRCDwA)-UkTTvy}<7p`&P6
zZ9{7dE1cXfvoZIiKQs!s;#-#M?U#y%`dXe}|2ajn31m;f;WJxZ_m4U66+@Ctm<#a>
zk$hB|sqZMH+&b;MJsA7=-B&YAn&rR2nNlI75(YePQA%<VH^o^c!3^csH`PkW;HLd|
zBWfMwA;W5Y=@2?cK&hOllTLPU+t_PmW#w=%_r_ActJ_6MDXKUjWGy?J#-PKG;%^Wx
z9|seYD$-Ggi2IZmQ9Q6CaC7{63<VSak@Q-i6iX0nfHc(A)fMruIoQuuOJNSTJ^<3o
zVk$Ng=X(_vCy*WJ^<U)pOIQFA(E$;!+jP?U%(Sq<K2^{0ieS0xi?xo-Hf5wLOm9+_
zodubLpGeIkbGuT0wY?H?U4AX!Dc`=(RrRoCu#`Jt{mLyL2ZaH<qlCenWH!dsXQhIA
zhqPGFQn}|wqM_H{XG&5+Ow$IVf36+ud6qT2YU91)dU+_ZY(U)n(caX{G{EXtRQKG<
zJ6|cWg-dsnx@!PR4d2k9`jBfl;9`J+$4#;$$girwGp{l*k)G8bbuRxO;C*0}oC#FQ
z>;R^3VDL@b*jIB_+S)NCL@S!hN&zFf)AA(cfLe!OD~#jTFf=GPStv54jN$Td5v*<G
ziTdZyACnUVtmEO0-C{Fp^n+z~N{DeZWxMCuPrMS9OwkDS0_7t9DyhD4zf0bQ7Iz#?
zO-<|1pFc?OH?-B%sAKkuRxL%~Gak1c`Km;80X7cZp!?sTB4PO6UZTf{8{t1Sf&>Mz
zpt(}J{%ec$?!*P7BNujmPlxbd7Ku@^6t`h~I%~!!{xVVkE$QR30wJNIzbt28J6;$b
zpC?j_|9A%<=4)>8s(=xuh@Wow4?HQoS$rOjh2O-(29{Hx-t|9LY7yFEhFAXQd2Spf
zGExLb0BYSdL%{LeKh*i2YUS|jQ@U(SpNT8+54$LnZ<gQtI%16!JfMsv2g@!X#LNUh
z(oQRs@xcd?GW-cazE>q&Ng8p-imfw#-LV~Jx6L4oJmmjXWdD8>*iT)#Mq9PS2xizH
zA6BbpD+kUpRwMZ=SxkSDAYftx5<E?A3kROU)EC441U6lZ%WI#Nh$FZCne1e88bE8W
zFYDssQh0yXF7zxV7c8{an4SIZ07Ca&$dQbNl~r>Ikk7s5bFSrunEG3C^s5a4HbP8n
zY#QDCM+vB(h&sHzyr!ISBeE>c>5ta&2I_1*7kJ{2W^t{bC9cSX=}pnQ5z7>)TFb88
zlTk1+JFJi1>nFvIm?QWEdNU2}r<XGm8x{O@8ZFw~!Q-JFb{xHA8*&Ts6TMj<_)efz
zs3W6{Cz}JJ(%bkmYjtMc5ft9{%C!WuCOoBL6=wJCu;C*f9yX%1C@|Ia>#--%8f}Wc
zn-O=_jr?wChP(}N3?~i#^;j2D?AC0{Aq*<`ESLUNRwZQFBPy}`56>c&NO%a;()aCy
zzl%n)Yn~U*W10sV|4A~&yLG2wxBMU1+OZ2t=2q&_?j>73P!VT#{<-19S0f@Y2|b4|
zU$9jI#z}D9UzQ?heq#zm?pOP>!S}aUB}@iHQCS+2t31GXrIk!b{&a*<t3GDMx7uS^
zZMc<+$X<vAK&?E*z}<lR5)0@kA;g%-r@yZ+F?__;VeLle*lKwl86CUu-a%}ExPEwr
zCpb8`m>g@Oc_iWTJ)uu8l_6Dw49H*7Z8i}d#i?KD%9GNCy`s6ZJMVjIScAsRi7(#Q
zf-Pc)HuIN|=Fpc6X~D&7NY%N8#_3!Km`fd^TTa;si?B#Ma8dZYS+7=B24$yTBuV-C
zj0tbr@hi+;b$Wv3*BxtDOvcVl$o`sHp$Vmoq;h-=8(`dOmHK(j;nDs8KhXnaU^Adz
zl}m8T8lCVnEoA&q=4e4|gi!+V86kl1L4a0QdSi}1{5I}XyXSe<Kp7H78-m|1P2VpP
zmpyp226@Dcm{-<uZ;h}K#+;uv=MogXGnI4Q!}XX0CMAX+<F{VS8vJNaeKQ(99NkB~
zWB2!FK6<>Pn3uUw?7LS3d<)Vjz1v2PmgJAxqXOC)5cNLQh8U$NfrP{n7f(mb_6oB6
zibaET*|w|~ns0;HWDZU-W6G#K$iNjgXPx+iRmVedopV?SN0C7!F7OC>+lZ}69E6H(
zp&IaT9H#6he?6i_9EWkMZk5<MJTW3%rNV;+UEmn&!R<{K<izSTNR~1^j1m9j{EDbZ
z7h{|~7j6*o`YIw}slcdQa`8j|97C+gbkjJ@twg{GUdz@eaiWjj&}H>z-FuO)QfYLO
zlX>fSsm|?G63|G#|AVX_+@IZRUQQL0V0_A^()m8<<VzjpY532$9Io}O=Oe*~8aX3o
zo#zHfAUI~w_~p@*_a`Tj`PAz40pDd%*>YQbmWll9F{f6YD~9Mlt>0EvK^)J0Bf;-K
z{*syKrTA^gmFg#z73fIL3<_Mse<ZC(wx<*GAe%^|qFLIL{Op7hF;=31ud8G+Sy`7(
zo$Ya=Eo9J<mqZgQ^3XJ{{nM?;vJ7v4;)}0so7Ozbfu1i?Q-9Cik<w))5ysBAH>LNh
z$2u<BNi>?{eT<!}yUER(FM<2Jp18lZeaariV%+`?;Ue4u0tKQ0LV6AP`BJlTl?TC>
zG+SeUDw<U-Dc5Tj29YwX4_U!npYfCEV0Ouf(W_P+#!)ul^nO;eT^Vg+WpBC!(pPmz
zb0Ofx>LtQ@+;HPQLFcJhe>YK2(i#FaqtG02tt2VKZ%_yK?Q4$&oys%X5yOUqgd3uu
zd)uBXr7n+o?VFg#jb~N;>!bazmUUKlF8&DiCEEv<`hGx?CM`gMApbF{7M{@xQQ?t8
z+3vOwnZQJsDkh56(KTA}azNfwyZDPdhA+cy{`9Pm%Prl;<Xn#0`hZ8}*SPfMrpWL;
zYPcfMgtOd2U+hFbUCbtk$kDx<d)ci)AA<avA0-_PWrxrB-POw%cb;!2R&Jy_feo(L
zm-D79kiW;mHOb0&bCMu>%5#QDzlK=G8sg1RVH?*&nE`wW3z~1)vQ%?@6@m9*1w;%J
zs;&6q+OHQSFM4$S$p;+>imWkye#fL2DW^`O2dxj%04wS^H)1+N)zEK?B{|=AO&~jK
zM;_sTMD5~PjDWE*@Wsb2`EQTzHt_`B(kLG3*InCw%09Nk>towbub+EJ2OpEW_n41I
zEMJK(-L=W1cMl*y{ehm+Ey?i5k0@SIhtlPbu$@lPV5{A6KWxzr0_?Cqu0MP(LCA<N
zCd4=1RK~X_XWL1C5jf&EJ|;Cdj?^zZ!JO@dIl)3m0$1IkS<ZeBr^DT_@4O$mgoTT9
zJZ4!Da$UzzUI-BAMGgcJa{bt65On%Z=c{XDS`{S)7;~M$`Om12osIf!hY8JuKp+p1
z2G>uo{Mu?q<gr;ABCaafMG#F}{R)e2_XbBI4H*E~vw6;Mv?uJ6<*_)qEu2+u4AD(>
z-~E!21#_OX)%Cd;g*AD)EG@jYA1~u|pLc@0`Zkkqk1I7<x)>Q1!0+o_y+k-6(@?lm
zLiw4gtxj|1@aMSLtnK<QO|1$I@XMWhCyJ)cb2p>$PoKow3?ZI6_u%{vBclraawDUL
z+VTb0rg5qy75nwObi|v21;0YVE7<O~0%SO8_@HJiOTWUey%EsY?c^zMr&3YbFi`2x
zJ*;nHD`H3YyjLrE3VG%IWq8G1WD4i;_qowluZ-ED-??*L+`}=kl;2L?ZA)!iv%%qI
zKD-gzFggo<&;<8foD^+V9_yF0hiyXU%i$BAL<$@ae>R<An_K$LhW5YVkoK`M8IbWv
zPk(pLz?b}j{x-B$9cyV~Lw{es@6cNp<qqyF=%^|ZWUwXWw_4Uy&?%W?ac_VbOX3iR
z7h#QIu(&N7411A5bCAcs@%gr=#%%t)Q^_h>i16lg{#D7a6J=Z0!s`l{r^_p&kNhcW
zR)t;BK|MohGZuqpEc_B{o~-53kI%3Z@LRB!Y3HK_s`7uJmMh7aj4_xTir`2F$+{Uz
zpN@^kT~5)?p5w)*8NY2dV?FrBP&a(a?f2-shjZLMA#R7xxVQw>2K!$Kw~Z|R%!1pt
zPBAxB+z8q0rwX{IakRJ;!8conlg14T;J@K6hBt3GT_-P2zT6vdx>6dQ*5NH{z&<sJ
zwno9=c~=F-@O-1JmJQox8@t=&a^NpFY@NEksL#LH+A=(B;wWg?y*dA4w6!%c?+kOy
zT)022Uw}2a?wqzpCyccq_Hb?|uaoUymL5$8l#AsHw!#%leHB8xqIU-N!-oBEp%d4-
zhsnl9tCOS2`dwiUR#<KWr{VZKWWEpXtZql)bwAmh+`i?b0NaH%+usQ{*tKO0i`$6V
zuje&zw%;JXH<URPr%aM*c(*-hxMeq7rVSb&9Uga0J8ySxfHylqmbDlfL_yo|$9z}#
zjfb~gOY(5P=ebt~#F(?}{q}_GR{I$67*<@H<Y0qvr>yO*iE*lW-(4@i(N9hF;>8qR
zAYm1|wworSy;d*dn>vo+3fHBD{ILQ^b5xT;o9(B?RwLMBp|H@h6YQ~R^ZMH9VtZ?F
zv48S%*EZd_Apc@Bd1BsazG8TD>o+`kYx_c_S;a6E;?>avKfeh(Pyq1ug0Ris2gW0H
z2<?jB!<+Rd%?k%HUgg6e?BE5se>txJ`@#D|_(Jo=*=BOn#qJHHL<X{X7c*CWw!1lb
z*K|AVo0;a{!~?u=)vbP?Chv9hV#?ohUbtl#!}5(e7t5~_^no|7d1UmgaN8jIs^F@v
zmXavqIy+%3ZC-jQS>MQhc(G#atnhT$_O{;Z;&O9n&-e5L<08Lb*)U)-HFdG$+H`#(
zY-rbHD~!Vl*;<D+e_QIirmRzj)$rkTOkc2<DO7A%3$u?Vv>3tiVJGny^4Jo-MxTJ0
z=S7If@H0Uf?6VEWebf;+qKePag5wscW)vB#M%XF(Z1*NPS@-Y_R#Ey)@!G~<!q9dK
zaP}&UwR28Fu!uDhE0>S7-PfH_%?+uJVqngO3mk@wSUti)2@N%}CHRolKm$E#d*g`w
z@{Yzv#M6SLLhU`Bc@#v-+PW<;)VH}Ke5*gGef`q14R3XIX)~jpk0>r?BdXT=#+K($
z*G5J6d*gaeBrqfGvl>iioKY~cc7$3A^hbsMy7lw|i-OX>U2uaF{q9}Ywyd(xSlsy{
z#_?A-q8sz<aayX3K2~Ji{S2iweqH6~UlSU|aiLEzp&5BlKg9>AT?|&mwV^dzZOMsT
z9*^v#;0cD$+3)?9x?Qz=1j))7hzj|xsb~Ai!-c}($6vWapfUc#7czuoyQ@mxzjWGO
z+5db*5n$w4b2oepw=RrCk*AvrZrJ6Wl1WzJ*q?32lA4dErXZDSeMDQk8jDj^gb-w7
zjI_Z_YD7$#k2~jF0@#=qSSAJ2<g49(uk*>BE-(T{Z!k%KsH@by{lustex0)t#_-g4
zbOg88X0`7rj_{0xIP&yXN|{B;`PJ)o?g7|SpTliq;URDT*US}*%?MFW*y9&>AFUQk
z(TAIxtU3a0w{`mMhd&IDcW_wNy^ndUD_i^FZ|BcqkJEBkT4_&WKpo>3SM7h6mV5S$
z9piM4!f~uJN1{SB5A%p3FD@5e`#+rq6_`JTgs5`#%Nf&eZW-UCgCwt&dO^@Nur-IV
zx_WN)36#LU%ZwGws$Kr0s!DBExpJj@zV_m4c>-)#_C-6%dIBG#9nRwjc)o|x)>f=*
z9w@8TZ_9>{>yzYtDjmogAGSTUP4jQ)E=0wjQhGlG4fJPTp84HP#-DlO3s#o}GN33-
z2yukg)1;0#dyopC{ane#xwjUTqikYGBx+V$%XaSPDb5uStA5*i<S)niK0wNdSS)o%
zrAZ(-Ii5b0PA*Y+1o06skeI2s(Un7i*owds&SypyrCyamiJe;Na$;_3NqU-6cMPTV
zpRSV415r`c?BH8EcSf5f7V=1OfZ}&i>=JZDN%o-{E=X5f9KT16StGXX_^z)y50){#
zJztDunn^|x^)ly>)Zka18-_)Re=M`8Fgt~HuFzMQ5sy;K;;+bg@gVsebV=ZHdfvUZ
zWkd3@9fUpcIp~K?1N`f!51HM|=7_Vbihs!4cT3wx^>=OY<M$;e_fG4-4E)8C;Exvq
zR;;sT50;{EeV>H4;<wuI`!|JPWE8~Nqi4P*e#CXpH^v`uI9%PYXP?)=*!Xb;yOGFW
z_sKdZC_UzY8Jj{lj{&lN(5l3kVcapTFxHcEa4_F+GRT;<G7v`x7@anHz26nq@vxc)
zPft&yQ`P%aK__%t?TJE!a2P47a#4-%Ez{v^ST5~v*Lg%8ntksWtZ339cMQ{(E@awf
zMYr7tYrVIABne3~SyNSR7{^KkzNIIKioTONH?K4hyV^%iuPij#Cw`XN_`;!#zeMn9
zStF?*F4q+h1!oNt{1m-QleBloom#DR{;Z$xz;WG*?>hROm(Q->Z(m>0Ysa`JXrFH(
zvGRM$-Q{g#?Xo?*HxAD+!zZD9zDnF<sv$IrP|KH5vT@HF$<B!rI!+TO)e_6mp+Z(X
z&`n3yNawp4J$k+pQ-6mF5Lg`DR>TZQA5hHCkQ=#P_IDZxxFu5b1r8Da>b-Iv`~SQE
zbQCY~MT~Q%9WCyV@XGvSdI#7(ba6{^+>>t&QB)p@qQawp16apdSDVL^!gm7{5zs%U
zS8$Yb#My@|;`Yq<Mw@g`#iqUPE?nP=Uuxc*J0N*2IL9D2J@^Y&_{_zNY~2VB6g<co
zCo}#SzxNusaIEyP(@m>DId6oozojC+o-^KsQ30ltpraF`H*qN~gXjWS#rwP?Yb>|V
z;e(qVBFng&7-maj_|v=L#+eSvDwO@#LL=<}<3c>^h^(8*n90$I$hrwTx^~rCA(Ktz
z_N6lc_oG3UF?`2_C`6a(aDQK8?G4sUdLuhvm@Lm%UR><u0Lz>ok`Q=YC~0ZYmtt|&
z;9<N3{dLJf;+9c?%P#+E4c8xS)-2c<Po?_-qMtVC$$K}9XR^yW{EYT>#qZGO4^%AA
z#CEVbO&o$4e&mJ^p-2%grxdh&-I)EH!?pHXL?C<mC^*ChJMpGa{!ATr@-SB?33dH-
zfoHYB6FncdyEF!5<wW6M!W2+w5s96WG`C{Ray$Tp;hPgU8Yt&fW#vSt$r|wgo~hbz
z(#y@`B+C3F6!0y3XU34gX>l3}FBqrW%1t%v%P)S<7x!J*=c8`4ja*SDCRA=(9pOZe
zc2jo30o`k8d2aVlxT}AJUl_jsd`!s`r|=o6h3%Sh-Yq?-sL@HYkK35lS8F}9;%@p&
z$3|<1k&K<|JbOQM@6_;19grB@=TjCnv{x_F=k0o34x8I-)Ty9r5T9@ROk0&{65`L$
z6W5;Q{~*L++<r$rnG8DD@z`WC8tbVLO3w^2BKo9zzL_;$y)r*F^%a0ySmQi|M%d_U
zpeR^_Y%@kJZc2X)_4JDO{(2eFo=lhNCmo>5m{q6f1N)a8uxAz<X^rgYc#{|#PfcMN
zs<B}xtg4@TyQH*K<DlLBC^M4Y3Jg|C;~!M%hLF+gUQMBF^sE-)iZ?v_upvUO@>A$n
zJZ)DL*W?#g=6JUl{7<K}?K5Jfw7sJ)b~h8I#6EmQ6d4BX3<RKtKKmaOHEetJq*Ylc
zYslv*<tHmWU7mL%c)d+(seCNyohshJf-0HN3p?KEM8V_rP^2k!6dp#74pNCKzax15
z+$_tZX?6;}457Cy(~^=}Pg16^2JzJT>42`wc&(`@Pvpac`vmb}r_05aL+#cZ6w*|a
zPcvxxJz6Pt$uysN=!6!6E$rcD;KBCp<^%d~sQG*a8L!YvGJZs$LTSmbS^qc1>hDt0
z?=Qk-6$oK}C0O-qI3h&LXdILUiwH40sOq2BRoy}d|3%4Tb-A_*H)Ix-HVc;<mi@>8
zt7j5Y(ry+18+FZ4__mksODk3^qtj-<kc%}7hbYNYqNPN;qWHdYWkli#@H|S49f=!E
zZ+u>{UH>g6X1y<p%;e<z{J^}9%N7qC0r+DIrJ?S#z!%CZ?Z3zvX%JRN80|Z+q?4kQ
zTU^FuW3``pzbwFr11IBmVT2C&(Z=2MTssE;_TE}FW;rIBSM+F`d%<cu@N3-|?UUQ;
zH3}Pnn&>OO*b9mHoR}AgcWuN`S0QU3mv%IlvWdV-(vj(I$?LLzhOJrVq5&eigWt|o
zqlhPdZZ>ZEt~U;>pCc!;-WG?vvpi>!N$4D#0&ZpT0VGwujqgPti>XZKcE+poS<m`I
zi*KckFh(wz!9wkb@Ni^OO=lBZ{^GxY+ov=?FiKNpN2aj>S8&aV#yR02sijRk8JSIK
z*{YpXRy^mgT>8ozTe^BU`fA4yf>bhuIM~=MtXR<~TXJVJq-Mj(?4LzoqiVyzqGn|<
zV8+Sp^Jn=#<DQ;kSlxQmTfQglP0uSnj++zZ&c6Q+{SvKXHSrw|i|bdIXRP>(VK$;5
zrurqgnL7vcM&-$WQoSr5P#0gW`Xl*h^HOY`H~e=Lquh8_z(eh6oT?Ao%7?6{>_%9J
zBe7JRvr5m=0UCYv55U?}Jg#rTi4lndoQfE;FTj`;of6h%a?=&t>$=2eh(sBS)f|%b
zcv6F<zLO#z)1sbbLVHg7T>tsZHVA`rRv~3EUv`Q@#;g@<a8R87s5NHlmy(49zPw~T
zKSe+nM*@%dW3G|je=q>Qc1kk<m^U}Lh%LQZ_HM7F!jJv44!9Qw-y8Vf8JZ&CA84OR
zA%jZEx3{fLmjF90k*<0?8~3i;^=fj8k%Xy}_=NJXkj=jfg~3BXiIg)ZaiTEKCWEy?
zYoZ7oa={;$+3@Y1)vzSpa!Or*Pt++*U0Fy_-S1%j14Sw6b$AG!ta>e1mWbfVb-2{V
z_wQT)?L7_<d%bZq+4$U=kBz@nda-h$C*bv7?k<&~&U`*X|2KDfK|kcYb5ZxMaWaGo
z=6OOYMde+_fT!x|vs=aBRm&5lnlPuPxp~M!o?p1;!VnVuT|Xs-DwN%($469R?V7?V
z_Q%eu4n`P@(OXj}RhQ3-rcQG?wcCMj?|k^^!gIW<F?A&r=8T}aYc5P^IaHdbwl$}I
zhW%gOZJpu2d?>41)XbSE#=P}H{Y>&hNBnu!<6g(VR?F>P)y@6v<2hg=FQL7wdAw~)
z$1Ayg8l7LBlRV4Q*s~lcU*BfpHCAA!4u&-@Y)f^*rRNo87iG;KSI>RPD4x9ztr!Sa
z;%mwntzIkG6b-rEZ-!2E^BE*QpV5*PKp8ZmecOHVCX${~S2jCCG}8Oyx*)IQ$!Z?r
zOwz4DmWzWvTW~qPK5NB~P-NJlagWa}k+OFLX%wC7@^yJs=KJw|v4vMatTtvJ1@D3N
z@sXs`gw+(xE)b>_;F*hx)v)yba}N4!i;KCCXqe=-YYJ=HP8H@><S3VpO)Yx#_84PC
zMv>fqZ|zH!kXV08J4|t46|&(q)Yng1@ZawVc|WNs9Exib22grePs8#I<Xhsiude$q
zMkKiH&A}Ma&w#uMWPL4Bxk<I*=5NuI(-qDTm3VE)Er+FxuI^tk0XGH^9V`FL+*u0q
z@((%}Ke2?MAPzoeuNGdIIvaudz^CkCw1(fx+j2yG^kq^=^3{3o78NC`mQDLOQXB0Y
z#6wiVJ~_20VlbbwKBQ-!z3lt&iX2$!#mr(fKrztS&y-I2UMcc@H!LG9ws9mf@}?PK
zz?v;0!TmP=gVTeUxX&*#poWO?%L59h{k4Kk(WfA~6EVEN3|SYS2p5Y`K<yHW80`pd
z+N0n1Ue3uvo2c-YWeSaxbi=MG_<|+(FIB6u8AVHxetOh`#>37I+tAQ(s07mH=SeF}
z<kz#xWxxSRU5FC%(Y>>*N*S)KyaW1TCP!TvyyYfmbTKh8kL?V14WqW0eqC{S0wcW#
zxzoMs<@|3Ptbf&pKnI@&{R%|IJIv|4<z1oTScdL!UH^a()4WwHz{>Vi1nhS&J4u9P
zeyXmycD-AI#!nLk8WhFne%1GJvtb^|nX!^g6z_jf=Tx#GR$k%7i>!!8l@jwLpkmBM
zT#y1TIzngs49V<Fg54>MwP!QWss>>a;!xim9JkfJLJFGdj7DLnOg>}A_%{_MGWW`j
zdzYPrcleU?9TMl4M{)Z+bYfy)MA^9YuZZ&{J|(*b--x&A_B^+9!tMEQ{_|1U*Z>Dg
z!g?an*B_WB{^Z%&h&Wyy8WKv4T;h`}jVyJE7A*iqyR^%I9iR_b=(Mq{?1c??7e67n
z&`38otShLdfBl`BT3n>o(#(5?Heio!(uTWomYZQiUk^*B`#$!gc>sJe`*O%yNLV1o
z`ReAExS%pVY;>(=nlkZPbjC>i@<$q5l$@SEinXjMZ<URWDlXJtezk|)i1jd5a6vv{
z&NUVlT5#^el-g}08nt9XURT=&C@@*PDql;r)7!o?<<?a@u%%YOq~h<_{{@0cojRhy
zWIDPXtT9LsBomS(=7E?Rw+-2ay)kBRtYhJUASCJD!5TrKg|e@!iY}BuGH;4}vB_yt
zmxk;SdNf<|zY&N^Bs$Lp61A$WF0U=KA&ic<Ksnc-=Ykm<8I@DE`dU~>VnW&Ok`oh|
zRuRD7oaJcucfrXGyu$qP;hqJ_)67ib`uQ2XvtNgQPh>AZVgtgyBM%bv>`ONg@`mG?
zPh{qt3B<9YL>*~6!syFDNNne+avQ~Lmu4#Fgvy6AUwcOD3OP9$XkMf|m*T>IZZ3!?
z#eR)%Uw+;rA@IlJ!>A{z|HB{DN4)owbF`i2A758B&Y45Ic!;sl4USbeJYwz86#FL!
z7$y<lde^e9LMEiws-l+q-`Ifxazh4z25lQcEuMRx>_jL4;)A`CR`x|`R?&@M2COQP
z3AH+<iq5A?315_=Zwgp-;2gugLqAuJ4M>;oG@cHU0C~Q|huE-vQ>=V3YyG^)w7JXY
z?4ztoblm+{AT+&mt=DaK#Mdf@wmx}R)N_8O58R(sQR0z_?yLSV_$3|>9``?})E9z5
zDln_|%WY~h@vC8!S(SdLwxliiqbd_U>=ACeqE*;-H#@#QzU|xeU`$g8FC@jTG|<se
z4UE5|P@U|f1;$AqY>&R>TZ96U|KObils3XSEQ&G8`~(7x3Jpa|7j#5&b#*OHuo3HO
z?*aT+k+C|Fk&#W7%|bhkeM*XpRe_L?uUvj(YW+Sz7OD!q0nS&<<3Jk%Fdx1L#Mkb`
zMBM2q2}wLM;6?a*RH7zqXf7yCK(lAL{2U*!@4IP(LBg%U4Cpm#eyI!az?{Zp@1~Qv
zpZW4<_l%nxns-)Z==_AtHl4S0XMj{eDlyxcCDI)eciXpSx}<l_hyJIOVgWQN!!k^D
zwH!L^dbDyl<+?!L5fEL(=JnHir|lSbga~hXI6Bv>pSAK2<y)^iPTYg$0G(TiEcWZz
zgSPj$y;dY6e5NLg*dzwxDWXz&#TB;MqE!8wH~)F6-}>R}5XPm%oj@epk%y3utIYco
zK~>U&aj`xhzaB-aC@Zs&VG<=?V|$vKX5)c%`L@De)u*InWN5lixO)D*GyoY2?^BAm
zLkUhNP1SL&5i#~fJqOux3-DKc+qP{xm@;acSF1Ze<=?n#mshrC-e!*5!q)YqB~FT1
zh~xR%{Z3ii#mQtuzjxh9;5GCSYfL%tB|(eiiSOKaMYVDx#mDH-Bhh>IYajtsO3-;V
z?OI(WyZ(NkD;JUGpTgE=&F;92<7>Wu3RFL+VaaSd&fGmsS%ijv7k?YH&xmIzpuy+p
zRZP{F^ZArz3C&qo>^VQ<L0Hk3qK7WK&4_=Y9*fch0=SAUwbd#F)%22iOsO@xXG^F!
zg^CTS#$@EWRO^eK)<yamd?3%>CXw)O9SwAqUJ1;TGJD1N&{EQlXTOiVX7ebBclPe<
z#~{S974e62-rrs^ub@Cso<`;LaTfZzysbqxBJ9HG%_l>UlGW8xr|3huz}N4CsOjHz
zI+aeD9{lG%o{%cpT%iG<AM(?_uHDtft92mJ3KAZYrWbl<?2yC`^*Y#|in)w2a8+@I
z#&|D7lP7}(buN&w6SD&PuirZ{qwy5E$L-vT;Zc0bL(`KZaqFzUe!1Ub98z}8Wl~kK
zN+*%}-)0XwAe8p<rE-%N-Q&$dlguB{_n|^LDPnJCj6)dn;D2p%@r0>luxqx7ZV8=@
zh(dKmtvHPU%STB|+(>PQfIODJ$Km-?@diyI;uUBz+TFN?z)4q~_s*-dE*Syg*vS6l
z`-4AB7YXj%s7gz)B$(oSKFu&b*Th>w9VMn8qxtkC^NP|omwFENeIamO$J%%mN2&<u
zBZ)%XM|&dWx%RdhY(`Ht2O(u)X}30!C^kPg&OTj8GmAszsT3mPDS5gts+hC;1g}E>
zts<EfvGhyuIBlj}?wsB;XDQrBV+0n$?H<=GSOAxbmMobYD0>W;l0iP;elJsO8`_RF
zr$|2jgh%J+vmw+xtGX5mjwzAMwBKo?qfqlB3;w1^{g=Qr3}1&kE`=_{Ny?x;5}^1<
zeEi5LezQY&kzPg@)b#@|+}qnb$z<dKD#}a&?ls6nwJ_@U6vDYBI$CH_#~i^q3bpy?
z*OuBN5#eDrXhK#ijKwj?lzc7)I$8pDI!Q)m`SyIVr!>%ZS_>_EE*4=?lQ&YjE>#U8
z;Qg6*v|RIwKFZ=y&@Lvea$3B_yOY%wQMQdY6H2)K7xeV@SF^YddKzCnlY0_&s~+sJ
z+4^+J1`}F-{!kP9@J8;GxjnGP_ec%BCM8;Ny>I6Ax39M^kEe6H)nnFMmLwv)c@?iX
zIvp+qWNUrj(H@hp34o-|yB}XD+|O6q`pfC6SZsY9_}vJhjjmA7wA0aF3cT;U`s9fx
z9R_(jbo=qdI`O{~90Tp~ba3MUA{%QLgq{9;q{Y(G(&L~Grh#${FawKvjiRxwxKpH7
zfhoKsV#h<GnfK!u6K)D)af|P5JzlaHCC<(5?Vp>zKIudV#9!&_gO#>L)ZZ7`#223{
zL3KfOtLLQb!sDX{9^~lK)XR=CYl*D8{HGV+AGT+<w60|_jz;8Vx3<9jo!QLv0b$XZ
zFKJq@j%az{dMUrs^YF4fo)FcWphIVsHtiYbWg?p%^Koy;9j7q^=SI6jHAxv@T9L+Z
znj5hzi~9Ka7};gqP?Bx-tI#PkC4H6Pup8bVG@E&!mqyymYgWYF0{-CM0aubzLf|Hh
zH@O=$qj!vFXa>u~Mp?$b(V&}^Nm!adao25@uKM7a!1?2n)&GCcc&Ps$(6N$+q9sWm
z-M_xGv!nXZ4fI`Vy&MoMz&diiK}A>Q7{ygoH)GI3!qAZ7^XJb~H-UjqYwPMvfsvbu
znYjy~`gOv)SGjbU>^^;Z_x^owb@@P)#{Yb3Ci+k5A}mGVNC@pP_g|w80Fe)S?d}(!
z@<o)X%=<U;qGPvs^EZcZX`8l4wx1x5Q%Z52J;@*&d?fm3#^1l0#nMK4%dxd{zv_`?
zi!z}N-YvwsK(%;hIz$^c*7*~-&}bl<j%{oN0z`Gxnb8T1&NRY5^|%Ph=-?5|&lTO{
zLV7u4!<Fd_t{7O-u~P)z^jOw)ar>bZT?5G@>lPyKhzMq%w|O$%%*kp|ScsWcro?^E
zlB#~>|EA2TtD?a%_hF!g(HNV0H|#&lIjiDIk))X|ch}lcz5>MIY)k1ilC$LTPo=a(
z5(720Kp;orH8n8EiE>kbX22<QVE2Q$5Mm>bcT&%t>3P6I<nKn7dh_%1hq82X!nHl7
z@`eAFH~OcOVMz{KSIx(#V@f-u8Io|s^XgR$@h|Y;j>0F)^KH7A&@a`<lZ7&PswXwz
zceM@)sw22PGN0C(2dzn|UW~3o_^KAKPcRq&Det2_O~_-eGqydX<-{r<xh0Buszvrm
zoBy}t=tJ#`0pIe)DB(<!%G6TplcTP!oP%)s_l-h+aSRSVINLH0tZ1}Y7#C6wZY$c>
z$9DZRsZ)nD!yxHS)$ol272KwirymvxqLjq@&}u@K-m*b|2Scn<F(7xslQnc3nu?wt
zzi&e8-NMxM{_`T}Y-T*xpskADw{&a(R5o$4D1a8}FIF}+MR2&-g8nyG`7e=FyocO!
z1b=4NqGA4z*L^Botfz<!sk2cugB7>#Ke`?hI$S1~S;yL@WQNK#XhlWss{D39bJO(7
zRd&jB&CF{r*o_!16H^L95pTDgAyZz&Ub+=d>F2jVxV8$dB>tQbot%#}W#5S;Ud<s2
zTat3(*6KFRFjOnSP|QFJ=MpVCcfcs}ec<n%R9mV3b9NWyhMYI=jC$zrl;bRA%D@cH
zY}~oE%}<vi-dWJSqaW-L8FtqboS1xz3!RlD-;EO)=-v7w{Qce$7jT9Aui_2_d;kxj
z{2OEHe20HWHDu@T5Df&pM)vmo7jRgT3OBeN=pu0_{W^@V32VZ*K{KHej6{*T)c<#O
zn6XAVR4|Z#vZO}VsWAT@QT^rR;(aaxVMKK~oz%1Kmcy+2{E{oVwjI;KfmNnatC`KC
zZZ4RhZT~rRH%=1nl4#fd)4`Q3=%p`xs?93`L;{oRt9Pf2`=Sqe_=d|Q8gSwlOaW#x
zMSvvd37Ui<qV>`DjpMRvB^5=kwnNbo)edP_7=F|vU34r(|MVJ9%5TiP+;=HERE&hG
ziV}{=K9RrU^an<io+P3Z)RmSpThAkV6o37fJMQmnNQ+m~Ic(I69rj)dn@ZF})$>_Q
zOblyP3hH`Q6}Lf~7omXNf~p^s4bM5z(bcuiOG8Vm_>|0BFz@Q04(S#}wwHzBadq+H
zX=`H>-ltPPV+_s}|NCRw-5}jNPLPLMM6c-gSGObzdRZt_1B+Dc0RSs|+B1&6V(lGZ
z(nFj&a!7U4o$>?ofc6!gm6tif;xobR9d<f($+OHSF}ZQBW?i0QRG9u;KYoej2*F#U
zJgP3)Q>>AiYwkOsWpa4mYW%2o`$x0K<<83_<8>10DUKPeRusNld!u0{&%cnqFv`}2
z$C7@Q%DE*4biGL*PpB>{mx}JQ8BZ1egEkDP<@rz){on6?V)<n`ix)%}1ayaGuXRwY
zI9GFWXfI4~ztepcqMH9uNdY}Suk|`U`~Lk^op_RbQK4D6!o2Q|ugymOR!_pyYN@ci
zsQ1(fgN11vcYY?UL{-MK)aEL4gkL(e@bBgNxKt8mE=HwZQl`C2<+mwkdZ(LBrd1Px
ztOlzSY<wquuHW)0$I-F^ph#vF0wMMgS8U#)jEz;5{Qd#IH6maq7MBBN=Tk|Gihdz3
zy_N9FHC<=0hc+u3HJZ(8b;g|i>+dz`?8O+Kek%gu$UjkW5x<@U6=9fZ@&4qBxwc6Z
ze6_;WvQnj<*OoLQieZq<a6kMLZ$NS@Hb0Gh;P2Si{T6@a)i+kBiaY)O%TGMVuDB{&
z!!W5kR@NqdFVa+a1)B=?C~VZ{1v|_iZhx0q4;8(Pkdy!ntc2c9_R)009)akmjI&L^
zu<BdO;s2AzW{p4o^`^4sdzN_xF4LZ!(*)+Z|0j!W0>K<jlbC-sC|o3r;AjK5&Wo+V
zeV4Vt-A41kw@;LmlxEs}MfmNPN_)+T60Q}-J3F7u%?;R}4H3GyxzPe0N8If8*&s2^
zi}++(yzR~z6BWSE)CAeDqlN9k(M<no12;HC^4a2<<EH*_(8)p7r>O}^w+l-t+LxR;
zL*R}Z{KSyX4=t~}<ue3zS3}2N_Mb~UU;Ty|Z9$YlPtt&j-zY-d&lS<<H>59ZRxPg)
zA?`QLn}{9<JvTa@i~P0nrSCA34x{nQOC=dDqJv(S94zOlWjpU@@3E2NWqaV~xp|dn
z4EC6wBx$j_DL^zf(Qbqv;Gl;U@7o~9G}gJp9ujB6O4P<2K1CYBKzrgP9+}mCK#K<w
z>$xxp4)29~o@bW-{hp%Z!bneY?Lr)wqWu7}bM&$o=Y6Zx8X-=$F6nCbP=i*-Y;@33
zXyp??+XEK!zBIA3Q<lQNy0{25J*L2Krye3qgWXaq-2OB1E+;*imrG%mI6se;Mj0AD
z?s(i|D_?;3v+3gbcomRsN*Muby>QTpJ8Em+&|-(c4?U>b#>Nk<f}XFr;`nBp1cv+d
z>+2CHKeuxT43qn0nF8n8uz#PJ<g8ny#pJwjV%0UjzvUP;t(sB9?YOJ#3jC`}(Z_PA
zypuW~saqdA*IfAC7MRHv(M3tj@It-OvLU<N1$}SgYjGSqmr@KZzsT2f7o@%i$`tjE
zus9U={hvgrr0ohddEfrC9gv`|zyKJXt%=y+HXp`s_>YR2sOxKMW)~~2J`fiGobe>C
zxkq6nN`OR;eh&V>mC%L@iTS4J4(WcXHk&peHTAR4#58!=cio|H4N+Q0%n|m&-_J+j
z^IZtpw~@YGyHJ!BGiNlJNI80rY_hU3dOv~Z^dDaJ$}t`06s{RhezXmu{k&Xy@?+Xu
zO^bjM9AWc{Ni|t@6Kpp^M8E+?*OzxI?!TN7PsC2@F?Y)yb|G_|^W(<tCJx0WKc8Bw
z%uUaUP*^=pi908Wt^XPKT#5RPH}RNT^(EKqRk_TsP~x}KHX&Wgpj~>-^}C#U$0gQD
zb)aSWUp-~JNT4QhgpfvN8J^C$C8t<4y;W5T)ZD0Ft*14Ev1%TOtU!EpWupfl?YUEF
zFf#)Hx*zU}?2ryEX2o!@zpqmT-u=Vn8Cl96xn%NG$H5=V<0cA+*)pC8L%$dI!Arfr
zbx*h6tZse~P}b5vK1#)Mu%Zw0Kg3$aW3Nzz4*1bTx!(rO81Hu~Xxg>v9ncIvOC31y
zW51>*0#*KKTrNQRtHHit0TMTRJS<Qk|A(!wj;d<w-c~}o;m{%7CEZ=pAl=>F-EcT`
z2!eEpbb~Y;x<%=3m2RZI?Y+Nx@BRLS!PtYd&suZM^~@(^rnb(9_YY{WTCFcRODAql
zk$ibF7T>CAN(ObU!6-_bXAVcG<`MMd3Z4}1{**n1Z>F4e!<}=aGx0b>!&f@$1>(j3
z`3fS$jBs>-*?MPWcrV5AS_zw-u<!=bJP|Q5xuQ{7c|v^rCJ-U>2^g*B4gg9IJ2z0L
z;rqX@ekNj+AJpr=uSFq`Pq1z5O;bBH-4vPoAX^W6QK}yFt_>=Pr<cK{c$j~eGwr3J
z{+&_-$9RCxYlIy?HWFJ{^(|DtfunIM`3mZT+cHw&6H6IK$I#~^n@noSiek3{!d*Cb
zPLV9?jeu##fIlr5H-yjl4vX?AnI#mv@5k}}X9?0zW?V37<kVsG3}OFAZpep9tl0~$
z*Wdb>+4-ZRHYkv{Ut8>zntXPMDzAkrEkurG_S*k}MYH<v8A3o#&u1`{<aNOIAlgTM
z_gAE(q<{DzS+!2(^XyYgBfflLJ^*ZadzKhnN!ykxw^f6Y)&V@mWE(r5-0;(ZsYtM%
z9EC$ULq7(F1J!Hhcz;-PpJ!zZA{&@?M_jeTMqN!KaQJx5b|f06Ixg}@>R(81$*S&E
z+(}hZRb`mvG8?}wZ~<2MmasYE=3QDW>(hi-CTcv(Ex8>7OlRE-*|CqcNz;n&KJhP|
z{~(y@R<=8JEXij0CR^+RgfZKLDL$4`QV1k2(x0{FA=?mAhCYHgICOxQ8MUTOil5wd
zr*9!g(tP3v+uZ5gqu!mpLU#<S-E$7kDt-NLv%nXBWGPRDAoOV0-BCPL42;x7E3~Za
z?01c|xlrYP3^<tEUW}lSKgp057I2S`j~GIbfeamuls{@vi4eqEJ;n0A{Q+{)h1j-J
zp<|_)oxC?Yy?!ki6X_*<-!#!M?r`_Rn?in8KB&R@2>l@I4TnaDfuE8B0I9X0*bG!l
zJ!PWt$@<Y0RdHy8Midy*_W>6L4TqybwSH4<=_&`!0MXqs*Lt5$F&?eUny(ts8N@*m
z;dpGDzYlyL>K{d^NKpDsT~ma|%*ZA)CQ{1YNE0Te=6Umxh1=So4q9Xd#P5d)=HV1b
zSD?RrWX;kv9bn72#Qgsln$^-GRxY&wOvL5oWz&X5myMp64$I9)y%wG;?kq1F<N|(Q
z+A=dUZvZ*R1SBMyX7yA18f#GduoSMp{7-6MA==m`IwIJ~F9>`oLD#+?bcuJMtM)?c
z-F8b6bD$|`jiP3kzmwT`5)O0rfDD*}g1j^M#G0YF{Ps}(GQy%dE^G@y4*a<7Kx_z3
z8i!&{%kM+3yKF3x`ij~tIpz|gi)|m>!^jB-*`}74r(dO7sZsL?Z)w0i7u27#8Tv9`
ztg5_6y~>Wb(j{hBGl)^`#E`bdQ9^DD`L=_J?LA46txPGYHoSNKioij+z9OH%0>@Zj
z7lV63^1n9t|5nRCeJ?9^!)^A6MGvJb=LgL>ETPwiuC8^IRaEhJkwHe9nh`*-9iFEU
z2S@10h&-NeM_sgx-``Gse4)%>P5sXbXV+_19`Q;A?ZK$eAG@ND(rG?j;1@LZTy0pb
z^xG%1+=+=nh8$?>rksa(^3Z~t2BI&vQEqje5xZ%Z!Gz}wxytZoIDSF-(@`fgP%r0s
z-@3M*EIOF8d0BO1<63ruU0ZcZS0TJ2?+G(%j(wh_JXeA2K}81=(%ogXt|N-;A>@q{
z;+}{2_17YEvETZ*%vypm-kP8|EGP6fUvMeXa2x#oC77oDZ(Pe$`Hwj6$!svF4+N2B
z(dFXFo~YHULQYSh*uw`X%ln)_FPA?1Yo1@<w(BqW<qFXPZPaVa#T_ld8^e?pTbd8I
zx7)yOJC$i|sRhroM8q@qJLT3-ZW%ixCO88tDuc_BNt~572EEo8+6sR_0`D{lJ;0K^
z_rN8O#-YwC<sg$cVUs4G_o@0+CL8hqxu9L0cbUMw(%-9wiq%4x>GpbR;;Bi>8W=3s
zlShj&-%3y8kVi8J$H<T8kK#+ubcG{I#nYq9V4k#xLJxHxo)0^1J*c(4_HU*Fr{LWB
z(W$-iLnItO#hWBMXf-T4u&!49(6W~~za7ppAImk*yW4YqG9e#(+IsUw#C(b*r_R&L
zLaBmA=`CgZh|}>qYWsCn`25<F`>x$w@MR}P45bcZN)tsz2sH3r=rGOJfPXhW7U5lD
z_A{}HRI-t7NL_Jg#1=Neqvdq_BY(J}0Ofz4%Mm?Kw6)umby2gsZm-$cFviBl7+wDa
zPRXL$Q*yEmCAPVw2sVGv(a{mJwPjealZY^jl=)kcOC}c*X)L0m^{UgSvk6P>TwQp6
z4U%|_nx7cKlDPUgWdU!8-!>5J7eE0e33R<k_0*t$GWvibgjPv=I#z)9z#>iT%{DYG
z55mm=3?g(jI;7PGg2li`UD|sQ+069c_Akl08}g6Nc#2?mbM0ub*`&&T^o1LKyxLh+
z#QFy9bKvTik@ziRM&vEK-oLwp98m4oNP5ev{7b<!$6!##k91_DeK>ASy8c9HQ8`IT
z_9DBsxeLkNoS3GoK_f>hr<17|@Ur;do%h!d*Yu&4U?@*ET7fEJU|`_wX+H*skWeM|
zLffhnfF9y;kR%Rqh>9ix;?|W`S4nB?2035`1Q_ey&}-N>|5=e6<ybB{6SvA5czrW`
zBE-28A$w6axF=0F1>^hTrd@BFq)9aMmXd@n&}?CTTxVA~FrCdRU@VGTs<K;0gm=XF
z)3>csND~-;)QgUnGF6Vy&U2ROv67np;_I7_G^v*})!~k@8ZrU$XTIapJ?D(`d*ar3
z#cMtJIyp}D^75sRBRt|RcYf0WD&>f00LPO^wPIkz*>}NKPTPS`y^t_!Rb5l@oGMT{
ztT{U^NsQX$y3{(i!+}y7Vqy>rUS-7EkI1#%Rl6J#M+{-b`uu-(v+Yqm2@vQ~hI#_E
zh}U7}ISoMUg97HvU)tN>aRE{xwQHO@9aLb*nECOe=6hT~2>I#r=M=du!v=pjNuVQK
zID*qja9d=yvH#RV4tTY!8~ucSyMz%rCY46<1(DOUNxhcFIT22FZb@AiJes8*v%`+<
zR#6-9Btv1gczgDNDo#|zI;og`dx~zJp<G|a7kB>a{m@8Z;gZr=a%M*cMBF)I-6*6;
zx~!a-a7Q;RrmT?uN;6sRQ1)FAtRAv5#ruRlyZYBAY<(MjhU2nyGi`oo89dm0J5Gbh
zXF9qwy&3zFhR&h(LFiFy_Hr|9h3cWm1Yxf;8PWSN>BAEWQ%n9oYlbM46d%m}f`ldD
zd`I48hh1OE!_(6=Ai!Wzp*Cq8hpyGU#!T7H8#u#AM1u^Zi5v3jaQ|L-w_Y&Jn{~os
zz7*uoS2xP0LAGemU)<ru{f-)rP2m_)Zm){a=$8O1v1=krumM%A;hy8U-i#dh=<<^A
zqskmMQ#snhk5fjVU06@7kraKIrb>OLzsvg2I2t~epHoTLrLfagW*q3AA+r5x^9^3j
zrqsyWpFSMwxV7TWA@b4$u%J%7ssXm7%$2CNVccrPfLQmUla0MYK?0*$Q<;<A`vNZX
z1>~8m%fd*g=kfzKwxMxS_gUHWE?$q@sijV0Kpu2!Pw5w!<t<BOgwNZ5k17tWV03}O
z7M#_~*3wd$iEN;`;W}Gd%BoK{p=YMH*PzFhke3J77c5Nl6g&Qf+8D~3ybVGALh6$a
zxB1j&X>dZ=>!@IZfZaFR;dHKB6*^**6tiW>>!Z>lo}JvA9kwf;2Os=ts^1&gp;dAY
zM|;n_m4mo<fn+f~iDe*wI#SD+fSa0eepgpj5^K=EiNNF4!bo0b83JCHRUMJz&njdU
z7F}lowV$8+ASKQP)@SIywc9zc$p%PQg(yp@Wss@p&lc1wZwfv9u<lZ~amyYE&BjpV
z(nv!J@?lB~?G#+Juk$BH?Eih18Ol=FQ`XICME8dR(_ikAS=(9+SIT77WGIO#vsyn9
z!-u~zh{zH{Kt-+M$&e}Ts3b+_jbKB_mevVkkfhlec$6~j?m|ubFnp#5++KWW4dWo%
z8=3kohq-neSIOF(p+oSC@(4Pbk3UcB4D{6(hMCp88@6qo0@&xY!q|1hA8Fbg>#4PB
zeS)L+&HD;b#RgRlJkJ$5(`#(5(W*bIrM_@Qw!62uIPJ_Y5J1ehyW&J7NwfnvaI<0g
zEH5_^N!9TzOigui!k+x_6*Hntoo)#^WsSn`dOj%Cn1v$=;D8TPR+RhM-2Yicy$C}q
zA<z}$gy~H)E~4+yzW-kD3%W1?)mIBud{Tv{_Of;i;@a3aZy>jy+%YXfg*5T}<f+#h
z%cdvC1eamT9oaB%KQn(>H0vISAy4C<kx?6XHe&%}(9NBREUKVR$a09Q4L*aN#89hg
zRJVDG#%=p9s7dZCU)4M1UzPVEd>`R<?(A$!HayK3ukNbDTVA*B&7_JYeu)0&sVI;t
z!G}dlzJ=>FW%#aZAOls+!&jYNz(l5~1V*W00P(7=fSg=9;IRg)^XfI~u2St>bDzO1
za?ZqK{Bj2GUl7HAeB)EGJsMcxMK<@qKvDp>CQ)+8m*c7Uj;!o7)CJvi(a}{uwWl-?
zsxTC92AHHhMs)cj#?p6A9g9mbHq4>jtu6?X)VRSu?d0#o+4Ss3H=6ama(r6m7f*Jt
znO<jj<-YL6x_~xgi$`Peq>^<PC&aT1P79LuvfqL57nE#he<4w=CixUByu=6SPSVSC
z-L@ZAf0LmMGUGM`yS@veqUnH`Qc2D;k8l@jAfd9Zm;53`k%@yGOi<Ta$eX2Cdt3GU
z?MQ2FW@Sr1ZICE#do%EF2+=fBIUQ;{uuD2OpOap$E_vE!{PQ@tPZFDx-qK`@+}*WA
zMMeEo>^WnjNmI|n#3cFlEu=md0I#*ypnz~2Fo0K(T8lP+Z3u+0h#?AbyaYXr<FW=c
z*2AGxm>Q5|L2seVtf@y(0$tUI#G0JGY`QE>p<O4)dBE1>Tlhq2u~bIi;EiFE=46}E
zmN3#v22tWCQl$%AC5O1O<N{ka;Q}YlVw=sAG*zdUpjcZ%rHdVbgYK*am`LOOFO4@%
zN5Wd>dFKjx7996@<fvq27Tz*6*s>|V=qD;7z;Nr!v)VKK-Y+Fb$WYZ;U%BI*>3`q8
z4a136BFi+Br*5A#@3)8oL(Rfl;0D7mFP)yPoCz|+>NAFgc0-dU{^>56<oT!Q@%v@M
zZ%$4s{{gBsG&B^L_vE(1!eA@~|D>B1#sD{+y88OCuV2-Hd$7zz!<zfzUwJPS2uQW#
z#awiLs>awo+0nmF-LWC<(Piv8a+@0Ux%6c*Td*bKG_?B^Fh9PUV{ZgTM;d^9?p$Lk
zX@W8U(@^-z1AT=JN}9&|G|E^y?JdA-3+?R;b+uxono8KYcsHKx15eX2OZ_JT47xfo
zk)c`Kz(dYouJk5Dul?2^S(1km7cVPo2F*B7`V0)LFcLt`n_?R=0&~oMf}LN)PnOy7
z^ZI-2*aRvGE8)ivrrs3!IKo<PBHAH1^@s?E7SDz&zC%$&D=T1gyj3^UZW<&1XKje+
zX?UFkz#ur^(9qB}`yx?pcT!c-n&9Zlw};KLC!(6Tf42eFihi9&(l~z@aX=SF&&sMb
z163|d?W#PV*JSv6<DJsOHELLg4n<~USIqEp#%Ir>(94ycN>9;$^dcq!;n+c%DGA9-
z+;n;NkxuE@PzJQZ(c|wx+?}c^;#U>~WaqD+TohEyfZ5oj)M@r6H(!9(!%cdw5^Lku
zI%@USo*T*Pj;W9$)^IKH*?L6E&qpn6NR<qWh_`!s=T*kY3;4+t{|V*dZ5KU*Z)}3U
z_XU5vx)Z{VLPJ%PdgiYGMDP8w>a8C&KCP;Nzzaz`()R;Fd}d6wG~4WV3NMxItV;sW
zJd`|6Sf@H!hX2H}{RdhWA$E;)*eVC;v6zpmtE;!R1|S5aq|%a-u*!KNRS{c&-^3M}
zKNcM}5?r`=$N4CeoO)PEZY~-3U4RG|4^Qlo)b)^YGw@I`be!6(_)kpN+lK{2<CU`0
z+<c*HGqzH*#5RTW+ab&H;A3VtN!I9_(4nKHYyC!M$dVj;P}g(<s0KcGB{T6N6{|z|
ziwrM$AA1tP10>WkK&Y*nG6~<@_WWd3%#JFY5<B7zm}{-X($galvvhu${>N&IFQKSY
zdqekHhQ&fn=I(K92NABo+mZGK#O^B0x_Crx$;4eK<)q33i8*oFA!|3XHz1dywv(K#
zN24kCg>!l)dRiv$C#;OFJHtgqFoqL)iKpAqhDZCndtJZIyBPMb8uZ~$OG-2z83_-x
zU7<zMDmelrKvHbdqE;BZY0!8wl$jnd6k~k-Vg5sQcK^czAl<BZyZ2wK$OrDD)*GWj
zn=LsZaQVPH0fZX!5bVXAUqlk%j7qqlW2V$ERd+rOZMT!peYH>kdHFKBW^S}(nY{V=
zJ!tkVfRn^Blj$iX{gQ|hxw&Fbt>f?~zUWG)G~c$M29I5kyt5y~%2WE@Fn`0(Lbha9
z8%D?aeNE=~81L9s4E3DqkII1!1vc73bAp&Sjg)qJEqO)OxEd-<U75#m<c?pGxMCd<
zeZ!RJC;)X|6!A9p#gLUpb3)3adgSMzJHWU0uZr=%?2utlXk`qP8OFU{02BzYv_rxX
zFh0kaf<kl&_H6w*rtv9i=25!WYaIU2JEblDdnZM}$r&(S_@0tt$FgC>nX_Vt^XK*q
zt@eL9^`9nTl*-M4V-?wt#k`8Bb@%tYD(|?OF*s!3Lcmjo%Hwt^zsHtL8=q{(9b&x0
zwALXl?Sp(>w(E9NlRCqe#!ZaWko$!13tnN+)2y349PACl(I*|tZ`y&6t47^um|1^e
z4zMK;v7=Vf59or;^}j|)N0UDB>8e$(NV%^g*vQ?Rid+(nSBZwS?eTfYyy3K%ElHSK
z>7^0=XRm33k3AeKH$Kx3j0^A38hBlqWpX1lE43;VbcSa7nNcsGk^3Ka05$@WQ;UAp
z*qGek4+zb9jfuRsZQOB9GJ0-s3wi5(AhSkvhm)9JUWhowt4T3sy8Ho6o`wIdSRmtU
z9!m~^cs5o|>gKU`EGfb3<lA*G)-A_#7OS#fN(g3OqknMN4+@c&QhPn7T`DuRc^FGT
z828%5TYMe+AB)B8G=1z$svlmXBdC}=cw)Bf*KF=R(8S4}NH|ZGWpnZ9y-gH{;LOWg
z)O>tKoiL=;EVZ$G<BK;Ne}!f)!nrqLV;P?}{_o~PP@aN`l7n}8*R3EwU+fM8Fp?(r
zYB!Wdi0(JF<n7(!psO+G@b&Tnt*)+)+7*8OtRRi+E+P2eU%v&M&PQ{ONk#caJqhVc
zoLlNI4B*w>YVj4q+&(tewa_uM!4IVh*cU#w3=$jJNS^{@K^)Uh>YJS9kxaufTgWu^
z{@I1G@wgl$MK-3e<^6ioE?L@z^U;0sib*;Kdt3}>d>Ij22x{Ai=0$4}oZjhK=x`WR
z8~F!;sR*m363lekwMhw-Suq>c`WPs>?v3LKRGi*OYKF*UudH2qRlgxu2<GvKPq~vW
zg^P{;tI@W|5t{>cdnC|v^unCc<pqTOLB(jsgZfFh$Gxy~a&lVT_tAkw_HPyqYMdD<
z*fgwfsa@xWjCg?h*dy|~XQ}4*chRes&pnWq1a1=xKP+uOSq{G<{P;)_%^A&)DrRZo
zPSZ!Jt6ShNBUx<tj@?_bO=KuWXL_!tjHpzBgV{Di=E<3nUlnD_gyK@uT8}%=xLa9X
zkqqw_gN^6<6C3?_jaTo3n-I5^kUbirIv^N$xl-ZJm|9zqwA&L(5n_J~?Xu?-?1$Zc
zGseEw`AFM-7!lwm7PX6uKG^ZeFuq3|-~)tgH*#aRmQK;ke{#H5c>0S1`G2<msmGrK
zqY~WiKs+-y_X;u)c75%2d2_>Ls`FOQnkPHmn&TdWjg^(rG_w;@QBjeeS^53K!*zJ>
zuV=K$hged-PkV4eP@a3gEwc?bNDnsju|zvDI0~C^=nFpks&*x^4o!7;aXLm2TxC+q
z-I4MvLq3ct<sFXkf#uyRl+)l8MA22(QF`?$!xqD!Y<`W{u-}Y2QbSyDbk$1Jf1JM5
z!l%u!D-Gf(gMhS$zM~tMb~^bgk2|I)^bJ7)oOe;hqs1ymT>3Xk)U+;BG+X8$^X$2t
z6kKWI(q?IewQo%)*~)gjLhq9T85Y-XqJ;iUoCsk0a}94|anp3s(3llYG)<r<BPWl3
zpOz39yBMCC!Nf?ZGQOWT1dvUkb`r4kf8APo&~Z$}69?AS6?ATXCi_(mq}-lrVX&@}
z4z9|<l#OHqRg#sGmjU&B|1}bUJasj7@4S@<mAruKN3Z;gwBcjlSP*Mdww%ypzB7N6
zczxD^j?%_YGt}o&Z$j(0B)8#=7)A{4y(%*U9f?^B!x^!(Vik1!*U?24ZMb|2m>#&>
z9==535O3F@OJVB4zUk;_)7gEh4>gj4EdEI5^m#Tz;K^Wc^Tw2_?}leRlT-NGPg-7c
zGimTC4`gLy5$5%qf3^-}$$z$k69NPaV7LKYH=p0-r*k?hHnZmJjlP-&Zw{0Jz!Ccn
zRKe@Dkto%7^g^l}fY3ufQk!rSo&}gAf-R79a2gP6WK9zWPp!#~B^lFYh&zX1au5gj
z`5$zDq&3&T(YxKoBjYFBR_f4Tn3XNQD3e$5f)WM@btO#E_bteTou9gq99_01mWq}f
zY~9Fe&1|)7!bwx*<s+IK(PfNvwweh{-`3?mz1#V|$(>3(l^%fc2r+DZ;~mLXT$`mg
zaI^>^n59c{!#C^k!7rG>`xc)kSyzGj)F%V?(>P+yVLeKbIN6bHMDm{>KB9*gbNI8|
z`11FMXeK5GhOb(j0tu8xhK41^#p<myTDr!@bgq=}WwXA{{70QbAI4Nl$fL6={}{jr
zQS|W699po=02Toma+nEHW;&UMeR)QmC>axB=O!Yf0lt+g@>nn!(qhZ+_z+toDye+F
zbnC<mSh8)h|8(`_2_rnukEx<@_2!I&P*Xk!@I;By5+gI+nYAPhD?*Y<!;MyJTf3`Q
z{BsMs^whS{%gevvgw12+?}WT!j<QY$({h++No6e#;Jeu0VJ9#r6!gtSd_5)Pn)&{5
zN;{nE%&i^Sl;?sCMv8v2^HIw0AC&6)KVSm~1e5udyV)0@J+!1z)6kGKHW*jnvr60|
z=5;c0a8SHTV4+(`y@i5t7{A=gfBC4aVdc5RGv(_~n+i_hAna17LHQ<h#<?<g51Fxn
zQ!&<F;GrTZ-4SX;y=T4Pk;;4$&^!N=aoQf+^ZxfQ_r<fv{wso9U1%`TM@r{!xK60b
z8%OruXM1%rnsDb{?;1)t{G)pw^FA|Ex|_8lml4XSr=T3koUcx77^78%^~G&A6PYBI
zouc32>DxSiq*iNOv6YBlhGAP&b*NFnDZW9EkGB0`Rl`M$T(%fKSGaFFO<YH$8^vMO
zZ(xRP|63Y>H<?h0hNd-E!h(tjC+Q8}=Cp^xbRv8x#7rQ+v;M>^EKXbk=N%9z`7U_m
za7-3smQh#cAH<r_N6C#}@22T2dXjsYVS>*F@H4ZrBwSrN__8vkbwTl>kCz&#fT*xH
z^N5zum$W7|BO@Asb1a3=J{2;d^fQZKprV@i`VxMmPL$qycnARKp+(iz%DVcsd_n+D
zyt!%0ZF`O1A?!qsZ`9n?WmMH}Xkw(VFR7xEsFw)XbGl?NYK2R?bmzTE{2M+yG=j-e
zv;g8_Y6~&D-9PJs<@W_%&2S4v#;t{H3E_v4(a|)HEe%1B;i*~t&0v;9nmZ|R78OsS
zB_dN{>owOKY3s4aB?L~)gRYT<5W10}Ti8{`S6W*Naw78AIBdB5s<LAz(S?hur&lrG
zTW!fVd1kreia^rUZaP9TB&RKf!M|Vm4T?&8dk}<|BXWBD*ivE>@2(Fk5ABw4^g)ay
zB$ilv<rD6C|1#%N?Vm4`j=FYx{fXZ$vU{aA<ToH}%Kzg#SVm$y23*4r%s`2{d{!KD
zM_%SOHgZTcA2)ynX=iUw&cK-gzh#OY=$oAvc>Q4sgwo~UYTBgtF0FpmNn3&y0-c?m
zZFSp?wL^f+cA&Oo3#Ybq-0fvE7Lc{XOPd|zLnb@ojURt%E5up(qpq>C^;2F})O5xE
zQ7?Wndk6lTRB>nq<1s3k+Yd}8+K#lwE2U4*a$b&K#%<{MzWj_FV8e{oBSAK(9?_$W
zIZYY1=zgoy6E&BQ_7;p5z~20dxbqtF1M$m&@3W@P9l<*Fj1SNILH!+fgF&@nfOT3V
zXYtgrcTU0KN4L~Q{Bz@z87O|1__BhYbl0gC0rT>e>WO`C@&m{qu6R?2bDMP!tGTSM
zD_NW|wI}|pJIwOPhkESA3$YjSQsSCB&pk+w;vJe7Q!daSVd0diKlU~9A(UprB)mlp
z+-iQjm)c7}@A4nLe@_Dq@a7+y*qjdefomgR{K)5j&775$mA20=`#T{ap>NY=V>iQi
z@N9c1-4GU~8IU0>NErcR9Z%0IDqoz7W|7+sSeh+2YR-9L)K~8!&IcfAr;!dUeDxn%
z^i@^!p(ajDvMBCwr=hS2-!hazVRxPhi0E)IH_UW8I##c<e*x+YX?uI7rKP1bpOx?5
zOCkW{L*3iGPi6@w@BbP)0nq>L{DE@ChX*jq+0O#KN||kfQVXxVWL1NoH}qpb==ArR
zId|RU<s;a1s-xvD6vrPO!@R#-o1x_?tB>yI)FLV{XX`0PP|qymym+&8sV$6yyVvIo
zK?#Mi-TFT@LAXTNpxl=Eiq5Y2{bhKAs^BGiR#{9s^k)q&%b=*p1rjHZCvH}yCl&$D
zB5JsdJ}03VvQGGh*^`ZcVpxP#1XT+*nNd6Ol5Rr0<Dd7LyNm;!UHEc;^O61s?CY7O
z0_J5LygBgS<){k}sdQ?E-F6UZG|w0y(Oq34G%Fww=<~rJFNE4vC=?2}Fd5nzM81Pl
z33|v9B|#gfWQFu}2qzp^CTBR(>3r+-I?AeV*%-D2f&X|*#{IEW-55K1DD4Z}qBm<E
z-H_V{_`*QHIZ8qk`1sqCCbl6mYW^2q@@=-ssDGmLhFT(cXep+$@dVLEB4=v1$6odq
z7MSjoe4dIRN58MFy`N7_J7MmpdS<-wmFK#5esRC<>wIa@{cvh#nO=Q5Vv4crv=x-4
z20mxZHBQ~FU1ezg^oId%|1WuF84W%~9z2l>tbsI&DRHdfHY2{zKH&f?cwm;(E9a$y
zH(ZvGVP&_8Je1_jBt@#l-nA0ml<r#0@Ot-BPt=JuFh<^+SYnc>_`uJSRsdq5_OX?p
zA+!XA3}wD>WV%gR{r5kE2zutR7F?5k+LHz-nIWH;Yu$8T*9cvs?Cq17jvI9uEP%pr
zdR;fKTILIk0%Am&ztz)^Uo|&2(xV_6#k0`zF_6i=YT$-bF%Wf5q`Q{f+h3t|T-IxE
zJ9@~Pi*9S<r|}>M{A{IBF9aN<dtvxwMcm;ohlgWgv#iK199N@lo~YPTCccojan$!|
zyv{#LRIxO#PqtPzx#yTnY%q-5!Sk=}z^vG$XH`4@lJJDILYmXd#^(JwuavxkwSZbL
zK$)6f{<7EsV@Uhw{Gf4m@a}~0lhkthH?pp#Z0)uQ3l`Hp6+59;Zv1}W{M*>4s?gC@
z*>nUrDEA}mKos*+>v&|ImRcBZeI<K&j@!kBo@C+oD&ckei=+LJ;03QPt>5S0&sB+I
zCFw?-C?f>}Pqqgqo{6I()#9?YW8kvba}!KW@6Zh`N;tYi!qy`75&0CRart74q#bKh
zO&&a#XA3jBSF(ish~T=MgmMR)Es5JRLJslUy&Z}zB~0iLZHD-!fcaK@NVBoclqD-%
zy}Zegw3!n#q>^N2Or+c4;`DAm56DjisqzzLQ28#pFYLONch%jFVhyIIrZTFLptLZ@
z2rFz3@5~zqlaeLMey{PRaMxe3&ZJ7?@0&NP`(&p}v3FqJoYCsC85WCaRhP9q?pb#*
z=4l&=p_t&ZhiD6mT#VMSr>g0v<hp0EN4jXd^0KSWA!rpfXmmW$d{m!0rm1}_jpTW1
zZ)y5kpF^2Xy1kTXf06U~nfzOW=VTQN($-Lw5@L<CD+IdL-98r&(-Qsw?mTTjqQrcL
zby*A!b(T4Q>d~0H2|x7S57k%AyVWPZXTEg{6I5QF(>e?pGb@(z{<y)KFv1SbZ!lGG
z$>?$B{FMoyW&MCD$bM5HaH!e~XXl+^tPGR+s|h05jJW$AHqG;$d;dy$*U6bxIn8>Y
zC&5<O1Bys+imhQu+-h4SKFH|=AKwzZ0#9X`!rDXBTIZrT>N!J>7nc!tzpJOT3ux~1
ziq)hVqa8*WN)y{Vt~Bkp7dU>6Dw7o>_C8vv5f1iaNn#OZf>}-sB)qZaMpg-KU(y-l
zc)nabDP>s`eOd~t%U+^)96^6cW}ln88&7#8IFN9Y1V5)rU(8Iw_kjeZk9qhUn%fCD
zZ`IU!yUNNUEX)HI&Wq>(mADCZ+mv`vZA8z4v!+Pga`U}#k}kD~&uRYW?DcK0+KsUq
zcWl9+$vzI?To&&Q<6x@+j{=wLvC}WiX7)7~&8=0yuZ?&3)IVgb{^%1#o*#4E;a|3t
z8wrHza6Z$y$h;8g*>>h4YN$`#6`AOqmm~`&b7u{B+5|(qf;3dTPBBi*y+%>J3O{4E
z{D!>^@In5yqw-)oMDZB_B1XQb!x>QHx)Xc3w5xxg$C;jd1XQA~`;Vc{VdobHtai_Z
zqE-s(-h3(;HN9b=M6yRFq=T<W%%xv-XrB+e^-AQn#W(1|Bi+V725%JJASO9R>Slzd
z&h1Kh6GP+Oz8sANzMp!jCt>)+ym7W4xb@`TbG@(i_C<O+{HVADuW0!1Oq9sCggU7*
zv8|IPp_5d^Gw+yxzGr{`qi2ZtnT;rbZ6mUtmtNNdReI8mz(jqB-+AnFOMiaR6lpQu
zSf{+3GZ~A}(^3=NRMW4}&P8I|t0K$|^F)YO=hTo$@YL{?`*RWd=&q&jgYV(p%B1<^
zHejyRCbVUIw0!+5c#gV0@bUS3)mVeIlGy#>zSpqza|2m?SxcbE`o+S<$EoKf&z@QP
z-VFUwz$hc^=q+1kvB-3_QRn9fJx~IGiMZaLngVX-^oS(V<3YX5J8luI{*UMWD#(%Z
z`(LK=L=*p{nw(`g((Am~3s=haq2RMMjDd4ZVBUlJ9SV-uTtsuWL>CqM=KGKa<)nVK
zO%{$zX&E425z1f02K%-@yykfGrf6v-v1CW&<yuQ~9zEZZkw43gKb!DQ-QES}3GBn$
zC>yRUPkI@Fc^wTTu2-u*<zEnCaV}cF^2)50Vm)M(5xYc1n6(TPSJLSOq^20cES**7
zT=2_RT<dwYbO_qb&vNvr%V#BoW2^hEMxla8FMU7eh33F*oFPuPy&6yPKFjlB+r$rN
zvT^<4%BT{}Q-eOBMUhoJWu?bEpm3(Om}cB)-R=!I6Zkyb-I9}&KhK@b|Dxa0QOWT3
zVE(mbQMX$Y%~C@`H&-?z5Cm)Po>%n74ed>W8MA;eyAFmK2Uh=3(aGj0wCq#ueBs=x
zL<O;F!HzeAP}T68`xtXLFj|+I(mXkwi@SvvTf2b`VPdz};RV}wzS>YxjN(Ib7@;Sj
zy^qF`-6+GiCy90QBKzD0V%5(#L#_6m-$d^3e5?b*V3+^=;j-vGzcYUD(^y+@a9p?7
z@jh`lNyqQX(S#Ui$83Gbs04#?kIUw;UIKJ?e!(aV=&={{01bFyWRsi$$l&eUx9NCr
zD6N2DZ}Jxvz1t8o*WX`D-ZGkffHzah1bk|!-untN_ncn)E-#tXVvdmy{(%FxGnXf%
zi5n3}iyw%(Yp$N<m!I>m+Jg251W}E-{_J3(y^h3lXylM_7xm6ltG)2f*}i#BH}!d|
zJvj(N0KxW`(8$LUgj8`1$oH@ejPJb?xyQj?U8FhT8m%0hk!~&NDdr!}wn8xtcu;8C
zmg5|PQXEIWtSg4xyd-meLfyR!5=O|BPistqmrnAX=GK6PAJt<}zn#NI8pPp<OU9G7
z;0YsJ0@o~f5)>V5Z%XG6+KSc9#<^u61u4V~-TP$0ZwnVT0BI#>Q@r_i9L9pS_fXyw
z{%_*S9@Z@q`wY=j7SY_G$ccAx^;<GP`WB=l{dL>`?KEDFxKChY=6KO^M_kbT3)(q4
z`u7WPkV(ZkGV?SFcDU}M7Xz#c?`6TqDa7(y!{EzXT9DHE3W4tp2jVH8`=-4HOKei&
zvqR1^c@el?0fb~T#Q&TUGWAmE`r%P}P!uxlt@d5$$?dTl@@j{HH*zTW{_43u_*!%~
zYILt&B4j9U3aDcyEb+nO^!rbh`D>o(c6pBvZO_bOz}L-;c|q#b<+EvHntK85>a41&
zVoWAE*;%n&8@Us%s?9iAY_Lu@8I#|;74uo?L%?tjXQ2g-S@<m=Uc2LLkl1H4693p2
z_2PQ*I4si4krZU&vkKf=cZ<enpeuA;?E8I3Us)&b@^?k-BkxNeNz(3XJA;=vRRs1O
zT{;~GdgJce(g2&ldm3YEMMcF=kExIKzQ$>1Q;&7~Waqc;moL^Ew}_ns9^6OvB4Ng`
znQw7%e{L2SM|dc)nF5i+;WGqZthA@O$OkKq19tpBo(}uQL{n8n-n{Hm-3ScX51927
z1=5re83Uy%axU19@}m!4--EPM9;LoEhCS0Y#A5x{@gVd(opx){3SCbbkSHGu3C4EY
z@J12-grQofR~=T3caZ4U!O$;kW8c2bO%@D_xqA~*!v^edz1_{Jm*4s)o?oo)gm&Y>
zf6=<taLqq?MJuo#>Hb@Yat2Nvgb~LTkM-fqg<MxTNlyHENn3<+YAf7^$sZ5Cn!><$
z;1b>NjU~?ySN+>ODbUG-$RGdWJbs_hn#acCVGPkH!FAg5vmcln+aDp<C=yRy#qcdc
zIiO*!T$-06*LUruAaUmT=P5U?+^1&WhdcZTm5blcKW@~UZ$06B9{4wsJ(-_Ytd*3y
z?t@9IR{RXx2dxDSx}JiycF*v1?Kq5!-DGv3tpRuSzX_>>!AP&dfdQxt;B%n>bEA~p
z8(<xmv5sV#zT9VATy4-+2xkWJ48ANP-(09Ozk%Ytn&^pU2qkL~#YHY>Gg^Y@ZAl*>
zsD@<BqRRzMUe$>WiQX@W*mR)!Gc{zEfp->(RGkp;MSSHJ$>Ew4o8q3I2riB~ch2S~
zo0e{Y&U5T&XM3UnRrT;{quc)q_Yl|cp}YGL{+x=#fH<pff0fFot{hopKlS;iIo)zj
zh3A<_eta9xdXUlZ_aM<)<3{(a=1wfP4`=@0$vQL-#DF&*z=P9^FpD+L4BaT+rM&!b
zcdbL<)R4?fH@qBQ7=v;|%jMHNUtiT{c&kcmPj-KlNZwW+@Yr*YUG<4q^|>OkC??@Z
z1J@M*T+Bez*`<OUDY??lUGS?;q*g4p*pQ>lxM^3>Cm`J$0rUJ@!Qgs~gf(GD^NYHP
z;GNQ8WDJ#%p~t7X`AJv|V+eDbHj<5b)kKqfkI_+L<NYS^Q|IIDypjK{p2bL~f*9}*
z1Rveb@A)^Wd_9h)%a3nrCbzkWt`UE~@(YeD@LczD8!Tm3)l0GprL+Yg9c<OR1O&RW
zZSWBd-+APK`BOO;q)(_jcxYY<vuaW{r$KBCe4<mi2hJl0;zO(_KdNbg4Dy=M643vI
zIK<+Lc>YX_rN8#;v`am_DZT4*NJQR)O+DFisTaPEu;?~#F5l?;b($jrg7AM$9I#;3
zBmbUC`n%|eS<l$(lU}(MKF+k0rVCEf+4{gldg&4SOR`{*456dCGJl(VF{N+#2&bJ?
zSGTjoxVn7pA;2K`;Q_K-OMvFHtI9IYW$g-%q+?io-E;pUv75)zn#sRLYwd*Df?w@d
z-KQTu1*A08MEm-vtzsj;KsdI)(^ZH9FR(f!k(OoVM^eH9Xq9iPT(o^R@+$#nJ(5IS
zmHXevtKm&kFB~7dcb391T)r?kp_59`tYS`4Z%@+{e$rPc@}q<?)<d8(ltpWciy>07
zU?~{-`jhX=o@mHS@z94YQ8C9L9Av=lX}p4pIO_!s5?7z8Te2mZE~T8sSpuo*QtO4m
z=o1aacK7pO(0v`-c6ab#-jLtDXLsD=6XE@l@b^K(Z0BGVvVD=4M?$BSe!rzC>#n6E
zshpRWmNcc<>4Jy}33~x=%5==JFb0%bKpLiWhyr-a&^0d`HKrD5?O)%J?QzIr20xq)
z**H6E1JMMve-bs+cuDRm0!OS0GJ-#kiLU<wB+{bmyN+&Q0-*N@2ngv56IlHuXjMpE
zfHu*B3uO%;F^u+SvM~7=CMfJ(Nqign{F#v^MpQ97&*H<-?j`kdnrEKyOQ5qCeRW>~
z?_o!!=BB}C&&URSz7u5ITn~03-2W2A{%tMVt{b6=nnL^4xd~-~j>0u?W$WabT6=%3
zHIeO4cT}c7(frjgo(DTN5x!C<ro`2WGp?J&Xy9N$fOTq!9aouB0%b~8-NQXRW%{e~
zF>UB=x;p;Eh+gR0_M=gSxATk-bk0q-{Gbw@fJph}t1l#Rk;&AHE3U#(duzsprlXNG
zDleV<cx$mQ`*&C*+6SU@p}0%dHAT+Vq&(*WtnTyqP{YXl21HrpW!25{*HQOjTT~Jm
z1OGj-40!YMNKYj@_~Pq%H2@>G$!+M8KdVq<+r#!rFrsub_qchm$S&6Bv8f!E^o23|
zKe#orOf71IS!i{H0J#udf=JLuc0a8}{sIih?4jiN^2QgP*4_EVDR9Q7jdf7K78D6!
zKQO9gb{g?%+_t&zv$M0iOx=Ss%x7*-H~UBZ!tO`B2tH~i-uL}lZF84pnd;+|1-XB7
zb#$!Kiz5Fo{M8dCTf+5~_&Iq{TN_cJhC6|dLCM8$PS%_Ff@bO$>tNW^HWH8ARosPZ
zzr2!1|HK|I{;%?C)k1ewG7IvEthIz^L`XwN7NV~H3{g)5d`>FS$&}KWC!x4%oPtJA
zca+hw%xnIg!F`}#!(T=R2T7=#vwvtC0TvWFMho_nJ$!4Bjg=Q3D6l$og2=O3uqD(~
zyoAh|m%i){F-hKM?0eX633N%t$dHC{#)@nZNhFf(XJh+py($j2tOM)rBhoB9|8p!-
z%Z7LuBR7u!>_F8Egr7XQnHHoEXeKc3(d&aub(2Vmh}2K&l19}A($mxJkRv5-Dv9`F
zZ%l<_`6V)|Samuq^Gqh5Z&Ou7)RKEwcye2X9b`9M_%tIpAOj?74^Q_e6)|R@OkG8*
zm)TSiiR7ZyDGO&`40L+-hRxQ<h~*m$2i6}Z)<5~_QiysSBxUi{MKmYqsr}6%zh-}V
z6aYHqb7?LCq5M*N_`PI^s>rsns^7_{r&}qtRi&{@c3jRStd00-*zC8)7JC6yp0I#v
zwN;Yx%owA3OY}gSqmF23B>=bi+baW$w*_<sT=HEwWpawmse$lx&~31DfQ#7S-aE1C
z>ANpM4z#&%ek+(>roUua7k7JL^#Gg_Mz0aSUWE535FucDOze8)_iMye?6EJ2pI{Ar
zkB6^>T2Hr~a-d2Qeq^`{<U-I_JD@Kr_Vzqo496{3Lh|v1>UZCb!Gd|7zSJen|Mx=w
zn<ESmoocB7sL&7xyRnUyr~wZi(#t$rKhI|U!_poxmkYxbWU%<FrMOrMsg?O_z0N&*
z@<0cwEM=aMuez>qZOmAW>kd1lOK<tsGk1YAY<c*|To5_IYR_w6+m%MKVR-ziZlUT*
z`d$51v~lp&ckOqaLd|s>mO4H_d<|x(k066DGr$01#bQ?vs{jx{>Vqi#sU4wXRHb}#
zk5}Z4H~pqf`K8mc`)iM{%XYuE?wJ{XGxEu6UCy-b1#(QH$<qaA+6emZEu_yb&O9rt
zsZZ6c@WPom6s)WVUw0cy<B`*@ZyoW9G+%BRK%2goRhef{LE4fs?U_GEuI+^#Z7|8H
zTvE)u<()kVLcdoO{pn$gt9R*>;K1mo5Rl1M6~f;gL)qj%&2gu{k_nK3-g-FI`nWV6
z_~IFUlp9hzWR{gSI@;qoew+yWa`S}|;~#)GD{ZYg<yrXeVKWv;w~#Fj2|5!Hpu}iZ
zkST2rf&lrA19}ORR=w#(DdeTKa%13A9h1EuYNL;i{+XVOdXjHPZ`jAiIRD_fp$5S0
zZ`HwyN{=!2%*-6|g6S7Qwk~ve{-n=|yZ1x{wPu#J8K;eXfqxF+Jq3TSVbgMDDXa+7
zgBOkh5N0}PfV;h;7Lc=-m+I}RB#xSj^?O%s9LyOjF<C_I^Rm8rft6sNAh+fRx-=-8
znH`QX<c00vz`KQ0AFLa=0`jA<U`zA?lrcHFH^X$I`}}2CJmF|G`Np8uDU%Vo?k@_g
zCZ=~Nl{8u$Z6aY70#TgjOd<+X7mh)#%)Txkgc}3f+Ag`nDcJrZ6aUXU3N2Hhr~uf<
zsYh6y4sX=tK{&wKCjGnKW*mlNS*_M&9II>TeCaoaVDQ3Kvn=9;z>Vnskz?@D(~+o6
zj<ep=)75U<AEK2>4c7Fet8zABP0|q*`he_|kbDv_MgO2oj2;>Lu9yR51Q?h&QRd4h
zF@xOS3kpgPbQ^5-pbVfZrcylUV@E%C_u?6Rh|3SANeEue>3g1QiEDxJ>Ug)=N6b~%
z!cjBjS?<?NHp?tK25PD@w)nw<u0xa?UUE#$qh*D4B9sW7@J>Fwv&T);EO7C9De%b6
z6`8Olc(pDYy&eadF)|=BDxg2o*NH)$^-PE7EfpDZMtH(zfuAa<I`qf2TzQo}bA}hS
z1FFh}kPc|q{!^6shp73?GbO*umrM#k$E2|SXblTJWPOK6W8fpenmTP2R$sBUo6Y~(
z4fnhVqy+UzyE-=Bf7-|R{Oif`IQS{wbBFs+wH0H<to@+Gr)m_!6HD90Ariis%+QFT
zxHTox5!>W~YMsTn*_hRRCZo^lk|c5{45M(p@>PVtoD{!h2nNS6RkKZzpfYCrcL1t3
z{b!$$Qui6$xorki)}iU0roxo>!gB7)9xcwubu+P(4jLF}T6D}iOqDko{R`(r4!F7<
z91<e|LrbQsE`4ZB>Kax87*N;gGh`VOfw-SkI!G#}rj`V$_Te#fTRM>BkdEo_(FZ@=
zR)sX{ItcbEUOQu>(x|~d2YF?3z&zO%2%qM`1|0Zhy}fxSKk~yS4i!ml0rZ;FU)t3M
zy$1*M3w@!HoBh#1HY_mvd?<?%<DvO`FqJ3~BE6C7xtpnnwtd3Gc|b-olo#lSbEtn<
zRIJ5PAW>h+F07DVUy14S8LrXBWX*;K7)YkkI-V~%!1WezKUiZYBlOD~&^~V^()ES(
z$A}`gowcWvk)Z30=!s)6>FN+HMrSh>EoQj=)HoWQT_unOX~-@{N$9Fse3e6QqVgI;
z$PB$Ikw5Sg4SOR5p@Nq+6%GIe8eur;&#{|dngQ~Uh>36?##sG^yzTy(;6$tS8<&n9
z8XD~TqewnOKaj5$c^!AJLv27waCY1c{EwPT{oMbQeuS2Z|AEIRVnZJzMFH<610XW`
z<3`n=ydF81u-1eG^p5AJd&aO#c(dzQz#I$|uS+2UoPg&v?-5ta>QIJx{@SgH%K4wC
zAuW2u)1v&*Y^5MoJLOGUX}n;Uc8qlRI|b@F5e%|UFI`DQi;SLd3mI6)`T={%f{BRr
z8n11TG+y@`nXt11qS~w;XBjP5f00-}?6gFD;6VKbE)BruXnEIMf^Xe&HdTM^m^|>A
z@Z&~xBbJxS%gUj33AbWcaP@^8U`y@hirRX`(XndP_~mf=9gk_%154b#AO~@d%=5Q*
z1_VE3)*obJX#3d@6xj*KTX~)c?E;i+7=%Lm;pyb*n?>@6_*H(t41AyQKjr7;Uz@_~
zFHRD7#t}82o)190ySlnUgo9C_w&G|lD?{k-?^i%|vat!7{UN2TouObcbW+Cx4;gS!
zdM*9;a`eJ~`QG}H8uSj|=PXrYA_j_cyJ5u^Rkr7Pe9W$_kp@&U9VOlSm_<XeVs3u%
zkQ@7KwP@t}+>P=T%cvncF<5Y)H^_`YN2M^3HL4=jbVXO*B=?X$m#wiV6MF@I1h@b@
z`nf8z`(`TFqDA&<7t$7W<NCFuaQu!GcdI96Fhm}-J!c_T>CbhgD!HM|<T78}l5V@<
zQZW2ZphrHiq995M#v7L|b@e|EyksHm3$Q>Qn}LrIYI4!P`0=qQ8qgxmgD58NlP~+@
zqL}|d*Cfm9NeB*~FAUb!);>Xkiau;&^qRSF5xoNnv{J22!1bZ-M*&X-aIZ)n1`yS!
zt~NvxIgVwc{`WgJxxq5=jZ&F;b)F#V|LOfhbf{>zFyiADV^kUb>COCcp9R;3M<BfP
zt7EF?xm8}xuZ6M{`6CHGe}+Hpd_eQ58jsYbH}m;eNw-F5)Sssj*1p`J*2p$AqdYUv
z+8#p=;y+DQ;O#O#4x5tTZE1t?OmdiP@*^)`@OPf6vggT}Ky%-|7^XI32Wh>aWlDME
zO*&|oQX8BPNq#%}zO?q5Uz6mHY?A94v!CHNci%=0hqA=k&e981D0h~@P{|pFYtW&y
zYK}K<8N*1<hr+lj8No%h0DKXBmkWV2kyc8wlTJffJ)nE}-x+tUKjI%o^cJfMSPBM^
znECqpe){xD70Bj(x3Uf}T4@);`2fU&-fXa!l0z1^L2UdNSgyn03)}WDzrBqh7=Qxm
zo8^qkla99)?0W?l<Xa9aiR13GFN1OJ0E&RQqrcdn`J6qrY8(wDoVO>3d?jsx%A(w%
z>&u;0x$B=6C80-mfKaQUuE`NwOmDE_SZ21to|QxDHf8(qX$#de)&p4GO1_|z!6(ZS
zr2vTqM!#&7y)PQWnp~+m)zJw;F>lHVc(nHG>gr!qvPklNMG71QUYR@nIp6divqa%J
z-+M(uR2DCDD@#lbuGQQ&u~}|vb$OjQtz8YF#%Tznf|qu#ak!rI8>FFZq^riGv40iq
zp+BSPI*_~r7m+FF2TZUOJAloTsVFI#y0~CI7y%YJ=ahR^4Jv0_TZP!szJWo;75isj
zXzc&iFNifGo%&{l(>|tE9_Mwq;LiA92Xl6Z?T+{ch&SUzGeI`<sl7$cslJCXHLTK>
z8zUZay<GF==WHD`*V6d>Es{1E&MB7Y39pk--f07+zUbB_fRw^MHdtA0Ao<%X^d0vw
zLDG-3oeD0pH=3H?9+g|1dFQN8L4k{v@n~OTJr{JcWbEuh9O(U$5o=xt{UWtseX!3Q
zTT*pB9I6H7_Q~Yqa+gwAty~eHDE2vC6a{b6g3KG_oK;ggJYewYf<w);-%O@;mSAs0
zp8p)4T0rbvdx1mKzHMWEM5Im$=_YyQ`wz}kSNtF1xSj<eUD5V1kW#Sje<F;Fi)-TL
zrFDls|NVPGbF)@wx41ExjEv0m;v#rvMh(w%{1-q1`>ShQRSDTfh__%+BRk!=gH693
zImE8^Kr{2Pdg*L@B7=7aYLH`QJUb?TYr7ea6hKJT-bS42$f5koaXR^DHti;_c<`J&
zy@)KOYo-H35Pxed25p}Wt=ioHHeHYy4=y(~nSF1wf=8*6W6e#k{@Sk^Hx*Byc{K67
zdx7n%F$){B`hd38vMy=oiYZ_({M8;yYI$8Ysv|zW<myx^W0Uc-%)56?%4uD3X9Gr-
z!W{KqquWk#w}{hqz?Iv52M7mQoiDpPG2tiGx!JtZw{6sjg?4-&zSl3luj!(l`ac^F
z=xzYnrt+VouF9?X1HdPwUs_&v1#Hc9m@mVXen;)N@byq~s5}7d1?QF4f{s}JLSQEr
z6c<NON<fFy%^ChCS~}606uV!aEvZ*(V7Ko!u?s|%o%%lWDc>X%F6@hkL~aFAK#s0m
zQ?7*xUxK`Jow(F24#n%!ZyAJ5XMAY0WVkv*jTCIG3vc{K8d|+MqU8MoU#CF96f~{w
znW{4K#}8>6PQhtPga+1>p(~9HOIh^gq=p;48yK&-T|qwvIIt5Cu(A)uv!LeNJ_wgT
zxGE8h!WK1<6Wd=rnUFbX@mkH()z$KV3wFuIqv-0ejiJMCY)jTtYA_wI;0~n`1r*r3
zMZ$@UaRRO>46Jw$X*23SFOZLyWc&{^<gZ$_afWnw%ZqnJ7et03oi6;`VYhg9u@8j#
zA#|@N0!$7P0T0B;$jG0<$}U491Dh@c088@^phQ`xHMQ-nG>7~5+A5O{3064q=0Bwb
zL@=*IeL@`Q`o`>iZmifyc$kbtwGsoOeWFFG&XSHS5_?K7k+3PyY?vCEn7{)*L}Oqs
zS|ID1DoT_@zu)(q<ya?n^Q%N!y%6grIq+%LE8Mm%V_C1KzohksI$+yuR#9kItsOQ!
z=*}tT6h8|T!S8)8;v(&p@qs_9p2F-tW5upha~Qv-sAE^g8j>$g<tSFiA_#kj3pPj?
zG@<(0$s$KXm5H2aZsti~UJ>5Pb@p0duPhC10JT%3Nkqa6H#kv3wgd>&JmV>t)=l8_
zrXjJ)kf=g{f9=o<5{$KOQyFglk9)Hh@n1Y%^sEUhfK0ayc%mrW?n-$*5Yc@y57og5
z)m8ixR-wU8pea#zovW4cUxav*44egQLm_k~Bb(2C3lE%6TV@Ep|BtJ$42!bux>iI&
z5M*fSfuXy*Q%XST4nb*9x<i;5y1NyX4(VoKKpLgHyBmq`())hi?|t51{NaFO&e`Wa
z_g;IiweWG<-|^?>BBJvXA=|S<4JiaP<rA2P4*hsthE2eX`3bb`>(dvr%J>TS=@Dpx
zz40C)c`$FrZ<pMVIs-bqtD8w-oXZly=jC5}>o{;QmJ28@J`O0WH_zZITaZOOPAt#5
zQBcI0lg_&U#|0<HY_<lTUOzb{@U&xo8_>K3A+e2aw{go6Eu%D6;9_R-oNI4$jwrc_
z$b)j2u~p>7y`4|3mlp4yOCTAF%DNKislCR_`v5bvI@E3c@`-W9-$o(#<G)DB|J=wx
zU)4XWo><L)N$QHK7h2;@@MdEUwJg!EyNuXqowxAbzc&uJwU1DFZ;`US`B5)Bgo&U-
z7wV>O%!!D-<PYc1sCVgz1d`Cc3QUiB=U9x&(j2m()}RDxsA+@ruh=2AEN&@gJX=n0
z)ACG|1jpmukE}p&37P}*=m{85i&tb#O4?^V=Fg|}BmxrpgxYV~b_y-p4NUcys-Is}
z?lFD~n&12M^}*JanWgrdSd!-8UmnDm-LB=bL}uRvF@gu4;;OS(GUR`y@xbu2#!Iqr
zeg9^J#)d<F;)X9IerGeQRgRz940Qv}m{+GFN5~<!;Y{r$3-r&}Z&IETfqoBs6C<Bv
z8|iuy`rp!VlVPZp^dKH(qM&+FMs8j20UO>RhJSeu<rkQnOqFr?V-#gfT?f_ti!z|r
z&xPwp63w?l8AP<(N_6Wpfzy#4%?lP=?S2g9w@G32Bm$mnba!cqgrUjB5HKAmeQPr1
zv*PkaFAQ9j)s}t6wjzODvdD|sU6xpXC?BefIZ%LK6gOjj#Q)BKf)AC&%$xmz?G70o
zwmYqS@9uJ~UufhfH9FxlMI6I0npTpej~k|Mg|I9<tClT)r8;p=!d?lt6K4o&znAwU
zGD*Eb&5pc#zUNA1%4IGsnws-vg{E5F9}so_BxrmCk|PxOxnfQb4+-s3?8VrkN>;5%
zp|ZDSkVyPL8V@chlG<Z>L_zVrbU;u0ivZpg^ErfW22M}pXlEBd3*B=Q5!}k`Tl31P
zYw|Vv0~-BFWsUKYA98UegvKJy6tN{t3?C<rA37r+;AkcsZ8ba*EPk_w%M9w@Czp6T
zwt_c&ZXJa^PF{x_`#oeVCoGYB_6$%P(sX&GJVG!^NA9j^c~myOB@7jfEL0Q}->%IK
z0mlh72xhag){)e*vhh1MN&sFoXZi-;>IQ9s22<5l2g2r;0tdGPzDD?jGkC?O?aI3p
z1XEtbBp)$rvS4wBdYNG-bZl}2j~U43@Gid!9>C?fq9PWO5v)HIJB=T1dTydQkx1M3
zDB)(mHk=MjqPJBj8}#@~PZ6+5o&j#9V021qvmcxp>nU*l?+i{&_9uj@Hp%{$Pr<RV
zc!2GSg_V^Yv|ArFm474ZlO~gux&~mHBN~yZRv3<$B60qz^`~Kpu|i>eGu5NNZ1b86
zjh@BH{ym!V>X4VW$8-PV!Hvsoe`NRu84E<7qi=<JOu_&KU_=eQLwuE{g?xPk+x<gF
z)p{S9kcaqiO*pF$TVaOOi3pHA^rTv((t33yQF^{8^a8d)pDU=wPsl2Ma$Ro{{`__#
zb&qqRy2H?$d}~aIZr=xBD69E(5m!`jhfaPnp+4_w4XNK}(~WMyaXo<#H{PUsU|ar{
zDrOetdk51&IJq99V0QS1Ou(Y1Z0m%ZBT{=X<lJy+6P3R8EOWaPK4I**WRwHf5|A@!
zER;^0Q)5wNM#at96S7U~db9tVWdM}uF9R)x1=S63Fb(<RNba<RA}k`pB_sqLdkwpx
zrU9f11-(*|SMtQxFLX)XIH%&zzdhJ^V)KuBs%h)9;cC`=<LJ)U5Ra9YPw&cb%glWp
zpn130mz(DgL~%r(E2EsADj!+39>)6Z<DyJEx4Eh=KAn#6sG9wh#Su&8oPk)D4#VWv
z&#`5HA^nEjB%;hLVLg(PM~|Uyc(*@CrB*7o>)Kmji0`5Bg(9fLdy${^>(hN|)&Y)o
zML)z=s1n`pQtA;`(q3mVQ0E+gsYH29$dM?MnSOg0Sbt6Op6GY;J3BP=DGhQR=>Dnj
zu?mM>r#p*3wwjZ>{WiJqx`Z@1QC^U;`*8HZHBp0;^C>Masy^eA5d}~#+?;oKw{+Db
z4gc@bKL6kTIMB$@5V6*m%mui(f<uDab1Gvmh40O3aslBRKuTA`yyA^a?iiq7`%fk2
zjVdk0VeC*Ub$}oj|C}BG7}~bJJqR8%4;p$aQ!&weAq-(7LWu?{Dx;bx#<>?x#O2n9
zzMzPys18YiA%B3fcv2mcDm$7^pm)<{Ns`S0Ino~v?_7V%Yx;=B_Q^v~8Xv_OS6an|
zHVyxE6AEAI51g20SuSXsHtbl{f|jx!P3}1Zx_E$D07mS0S^7#e3uiVt%Eq3WAUoQA
z?K)OV3;B3voE+v>N~sra$&MHKzh28|Q_+Th?%3XI|I}E=dzS6|{^|pSop@4NBTFZL
zml4nwvl9?m;;cWXRCrtQ2X*`#Pk%q|B@v1UJIFS+9oTLG7W0E9cH|5U$f77j&{`M#
zhvIb&)Y4r=t}1#hgQo00W`T$Qm2_#FhqP_H7lF3hi5y8Z-H8S{px=!lC%DE$Ubqp^
z`Mf4*x2kGW`q=_%KHrad(U%?2cJ7<;*n;R|betr%ZlZ*M9#N-k>>186&%ROA5+K5(
z!Y+5@IL_4ii0x=v8oL$Wq?3$B;E6rj_rddZyE6aZJ3=QOEbW;U)p$f+8NGH7$lgMp
zAP+VZb)1_{ToEGTLG23A&9v4>eYpo6x})V#(;Z?v<|pZsVWPV-hJgp#w-~jBWqG!D
z4V5V*y1R&aC_6U$2UBrTr6g+k%6vwe9hg2Uxt!oLL0D&KA!FsFv_;!@do&40@nxit
z1Snl}t?YlFo8;i1JzCwW^hLV&BQ^x&Qh?-Q5i6bUgMT)$pP~GQKVbMOqHh$Gy2dw4
zk}junPjbz$an!yiPT-MYsiaXHz<Bh=KR0%MUkfEIq6c%odh~fU(~vn!v)hO9;wHF2
zO%r@38C1uK&)^M%V8;dc3|q_f*h}#Y7=7m08Q%WUD}>qjgDyo@*P=YGDcmGD>LyG;
zd!6x%AXIi@LvbjYHeS)x!uKiZ3+y_)=-ApLg7<E?*jdz2B;<lsL<Nlpdi;iv(5GON
z_lZ#gs=8xGZqQFb{Y#W<B9Y-n5A<NV=R;u|Hff)2R(-J9&df}67365W_Z}ATFs&Lq
zqNCF~7XA0p{~JVqaBN)sKPO_b<Wj$Qa+NTKYM_KzaRz9DS)JrY=k{x6Nmn((tG@r-
zF^_Xp!GLI5I$Ry1l|qK}L!DKr1qpGuy9nCItLL&}s^ogCau~Y`DANP6(v6s+M}%>i
zA<K-AVhfIyEk#h#S1Xl}_)8zNM^y1oAF~BW6g#b0zosOAI%)dpF&l4c@1S%Mhk%}g
zvBWkjf65EoL-pa9qr^B)0LTC}n=r--#&c2g2}z<Hvuer+<XjMG#5MjT(DNY@F2YwV
z%;C|X<1~o|aYm07(fjpJWGleba@}(uWk=tA95fQ{SNI$=t7t|e9C`HJ@5XI)VcDZS
zIx#0>GCaS-2)+WbR&;V>$(>SJK3NyEs}T@DN_+ha*#4WtZBZ-FOJ<jHWNFZGnfsss
zh?$U>$W&%l5!>_KNb&kFhIRP{W!kr$yA|D$!V$6B!R@uKQ{Geui&kP}Ki^oYZ*Z{^
zi=9E45O9rizhHQ%D*tO;B{w8)>b7oFb-9ePlSQL4Q@1PQCw9?*eD63oMNfS(e}r!~
zD>|>;zWYd8WH3o^WcT|#kI140wC@}sPxgkk{wgYo+UlnxnW$!_GPj)>ih14y_1Itt
zU+~4<3V)hv32I0+v&_Q-eH>V|RsnO}POC!dEZRL9i(6h7N?FUkHWrh^_<fW)Y_OT-
zh|HYod+{L4D7z!HS9~_p7U}X{quFi72^u%&8!qgRg#*wtwGJ6EZ}b`wgP{)-#QzKS
z-IYesYYejDnslhO0JJ{b_h+S~q#kZ>Z@0xFaGCA2+IJ>5v0`TSl2$+92GN!Mg;vfP
zA42Zp^bMEK7VAGgYoK3uzS@7reiqRt??&KPXr!mP`Z?#j0=jD2tqR6rMTbVa906N@
z*Czjxh&Tm5HqoRQB_Z2QFYjW`%GSOn`GhsNt}3m~jxLlKwoAvEj+gTRi?MyKg%KeI
z`I1lf;iKf^sTZg@E68^Jf;as6(4STLil++&J!YdxPvtlF96%8zoUbVY2W?t#e|~Oq
z;F^B9$@==>YFFxV@A0a-UE2#gOi1aAh~iW8C~!pK1bs!4t`tgZ_u=#jfxT$(r%llp
zbBRv+j9d&x3u#|VeToiR_IkAbxj6qx-Q|rKmV0EfL843R>+9v^<vC5z1>XxJ!#XD^
z$fuR;;|j*6=5okmEX3N{nxM~RIVfRjLKpT=2HW*TNxSSjk+Bp3=w;vQ_+CiN(K{~J
zZmldTdeXp-jTn1e<DONii)vromA}BPl#~?FzT}3oC!3C2IfYbri^AyKt}_)29!g-g
zWi0ML$3z^cg>qE`<A<1+Hw<&i9#uVo*#OVsAUS?7IT19gA+{>*TxRF(aqv9@FjeVa
zWczq_xwEQw!>p%vO5=7S5Wa9jI9fFky9<rA>C3AO%NgdQhqV6w_OeMXtX*pa^wX2o
zn4Ilh<Hht=W!0w1ZijXL!Sc=I0!<SaJg0)xw&Jyq@QwSW)8){}szmVkGV$w-$_b*j
z-nisNUhh{OV($WBA@j2@2BX54A^)wze~$A<i;U?w!%#1`=LrZdWJbYIv4WJ(*SKna
zi@DGHs!7z~Re3T%bSFOg7Z#@8z}QqOVLoecj@yL{^6RYR)A?!_haPDlAN)Y^yu6F`
z8nafV?h|@2N<(uPgIe?c#pb4I`G~UxjcR=8(gvW4$F!irk1k9QgF(K2@peh*n6*Xb
z9G{qByn<3W*Oxzt9*})5+zMZS?I|5!^7{@d#Xsi+`F~)2pjB#VG4)V)fPl-;RTHyY
z>6k$cXIAoELpH)dj6Z3^bhln!oA5Pf(yvb4S0{-hBP3hzy;7Ls3|NRBIiG!x;j4b6
z5Hw`r^p#8uzL$Vtk32&#PZx45cCSK;krSo`t6u!^kAhF;zVwvIg@4|@dBh2$2>qz_
zuZqLJS-vsk5BIfds+g5tm*C9|bT6-*NUnGw^|1oTphTO1m>52WV4o5yApMi<0yF7z
z5KJJ~Z&<#UG*|e@mDLijLaOAC^cqt0h%?B;SA-skx5H|V2HW^3-mwqT-$ORrpatBA
zG1P`C+8|M9CC8U8B9))ZfuS$19R84IWuu~KC>ET{hr0zQ#^eYnw7Oyw$k313%Hw)=
zxwp)~fkF(S=5kg$xE1EO=2~y_)40!&cpQv68i?NZogM^jxO=9|?sRML*XyS+(YuFN
z#7MIq4mzwSSOCIh_tC|%OsgnuQ?FM#Z+rq6KR;G@$*EV&ItHk`O{(%&=5MyEcwj?c
zfks{tP(|M<{94QINUapWQ}24Y{grO#8CK+D%sV<dviHY3_2@bOXHt^|{)4zoy$FI2
zZFCwqHh)5x)I=`6^&S;Ir&n{~#?#LVwIqV-@d9<b+}d8BxEy6A(?1u!2mFwYd&s_O
zaV>a^K#siq45}xaJdvPFo;wsO;j=}e_Ojrw^b<ekp>sZk$PJACP}{Q~V_G#~Q7udj
z^ie17Er^bX*M9Nl^7(iN)6MNLvv{hZLKQM-1D<*LaO&l+Q7?U8Lt^5+tMw}K%OW`<
z#}9JWAKGV!(X=)>0W>{kvp(G8_ix4b7qomMa7D|^VkYr`uf@<L5zM|op5dw9Bx#oS
zk>744HtYAr_3ad#zpWNm#+kxlKR;PBHPoRe(~IZz?7MRjQb=Z1JTHpH5U02%ELHdW
z_@haloLv~o?amhz1-^VcTJ^L`dy3M~*+i!rpoIU^BLAmObxZgQB=1x!n(ql=bz~r-
z>>;|GZ)`Eosn<c#$V5meM(1<3f8@SgvIBmacQ1W2Z}Q3k9T@F&lR&%nY&FQA60Rt|
zW>O(I`vNtqSC{c(M5W9Mpx@MI3Q8eocqJrR1Csc9`cjselUSJ+urZoTL=|K+;E*GA
z=Rk1D_wKFJDrI0yzf_?_uBqXp{D!nsI4_2L$mv~V3mRMxn#T{RI7S`SYE~S;(Qs*m
zE2>|Bn}y-0$D(>Ke`$b4C9qpGH(AeBhjA~9fUToi$icjbXF|cCa_|1`8-^cqd?bdu
z?XNsYj^1a0;TD@lo09jV6s!PmMHA=|$su3*%fcpz=xm>eK)bsxcG*rXGuyAL*Q0$L
zX^;PZDgXCz*ya3_(`MD8f=sEFKYfA#5(O4^b`fAcFtg^L`3>ra8$Shwu*wwEB4|^S
zD1_v|N#d^o#vc$m6!piWD~~-Vu?FOu5s_xe*00fdwsvSnD^)g(N1f(BwvoTs>A<QW
zlxTTLII7#IYU0L|y&o^knX<aMRnaHn6EHLt#_?@0E$LxuAUKB>f{UeBg57!f;+v>P
z{Vz-by_ZhdEF491sUsnq3bq53y83dc@g~kW<Y@k+Qz~?^<XbtbZU<m_nntp|D#ddX
zsk{>-K$0nJZTKRQ@bPc59qjkwU@2WlvsO-Bt4Z86`)Xw(qJ7c18t9+7JaCAS;)oaK
zSNGNjV!^9*qwkw*o664T-5<?uI(Wzg&|x?Uz8A^R8|>FFIX7ma3zf#Zhz6f3NL+;Z
zDLQ|8shCSfCQ#jYv7b3LH&t{ro0^-M`%p4~u1UfB!2UaviC3#urX)V9Am^B5`oV)K
zy~IS%<BW}0Z>*ZH#(p173wDv2;>@O91&DVOGtOs+!Oyfq(_RvmDp-9Pl!Z(X^Zs<7
zR>Fc8Oob6Pv;HopbOc1~Wg$7J2?3y&C@&;283Uinnhv!1!X;T_JArv*2VgSCB`gdB
z7S3tOlarIv8O<v)bb(H`3r@_%#}~T2{m$nkeL>c~<gVZ2QFB=J*S~*60ZhHDowWcL
zJ0tXn9mlu8>bogU>ELLoi$ZPIzTY@#4d2caJ*hX-BNZEsdQS@}hhokqF<!NOUsjIU
za9gy3wYrc)ggh_Pg265UV5fUSY@Nb9K^ZI<sXP&!t!ofWb)IzTRQ_uy<ej^z{SQUI
zzD6m~tdb7XaKrQSm%rCIh~t<FK8JnzEgZAi3|mDA+D)j_@(H0RFvZWj7U+CEfn)7S
zD`5Ee-Q%fbgh7iPq>$xEXAy&q(VR)C-_D}4abtw%cXA!C9~v=IE!Y1}IPVDcb5i#R
z&(FZpuVgj_6kX?W`~)-KQmD%wJk%N9T~q$8J5@ILKd1Qc&yh;9V-%+<l1IvqjE#i?
zMnj7LBcG9xF#x&3H4Xx)vZ7R8K7&&M()2wIz~ZPp^<ZD0j37C`UswHR!FcXJU&&5%
z0Hh*e_3`0$)*JfS7mL~I#?m?q7<WdZp*n5?xq{>Y$s>q#&0>9jnLM^>RMb`7*nq|7
z`bxTM=>!pdC@OUQ7~?$oa1zTP5wb#c($_aM__Ll^O_x;LGP;Td6_I{j51;%9J*{wh
z`EqU+N$HKe=VypVj@5MH8%e%#j+*R2uH>5>F-^b3*5DLZ|B~-i>qC_q>~B-duv=Z!
zQ=k<Cw6Ha%{#IEKMk0{*S4@GNdQ0LLGK4)RM9b@zeCrlG1hFekdi>$G_=ShLt~d%s
z_k7dRLpj~wDN={|3F@#&_4;Lp)LJX@hrgJ^zYHe+Cl3Fdpo<js2Dl>8MkengB*+68
zZUSs(kGrc4yeFYffUvlQ1dRq_S<X;jAEsmCJ4RR0=(hJ9P=I-<scBw=cVN!;Clnt-
z%Ih(E0J!&QV))O-JHrD`qPIdzHCBiBO&6r*Du}Z=T9KvCb>Hi|z72?VPd73sv^89T
zy{n^A&rzb4v^VkwWTD6?h&-|KucJ#Blmi@A>gH!iToLOdTwgr$rG_%iS9fZ@Bp(RU
zO0EmonZ{3ct0M1`oAtJ02DSpdXQY01sxX^@BVu*scYh4kM?jN&8&elcu{1Us2_p6g
zV8H~*nNGEop<<E}%Y<a`8Nzw_6D#xXxFAk3oI6<FDW^XC+?-z6DsIXs^9E%FE`uGX
zsKtx3v^^>GUd=e)h6?CMifjxgrOLJ-)dYL(=N)eRVg~NotVtApo+h>FIk^8FlWmWl
z_0%ic-O_ouxQt?S7?%+%M3J}W%7m$`9s)Gxq~zp*p)g3C?h94br~3N()HC6GAu3>g
zTaAB`1Dj;PhPTM$qR+?Rrb=6~Hyg=LRo)l}3%d%cei$=F9xLUa`!Tu<0zSHFV6H|4
zKuEnvNq3FDe$a_cZt3z-Gl8<x*Q7@la#dtlzOq9TAkn+g4(Z#p7JVVH(%fbID`b`+
zMU1{u(E6!CG~p4s<q4`vUr2h<(E~dNFHr&U;8hz2O$(z__Lh&b7i)H>6`gX<f~e_z
zSnelg@fZhE4OSs@iGfG;DTvf~S^P$FhhM<j7AReA!H@xMqd^GgCrQNV;`+_w0(5)B
z!2+*S-u=vdNfT%EA3?9bU{B<RV;)ok@$$cuArcbf8mo&i!t;m3d3bp}7jfU0H6Rlk
zgTW&)Sj!;sN)`|^%pV{*dLn#tB^rK$;|3TaTBN$6`A;@AwRl!8j@5C>;P=)Vzd_-%
zQ>8n>;~UnxUji_y?3NB?Zj9jnXaS(Ax$S;qSs<Yp)n*R-pxD-MX1w`fdCEoKSK~|Z
zlR8crTjGk;a80^9t0D41Riu*xJxskjNmBjMjh;Qmy_^NfkPhlIr%6xNQCoK{hPu8u
zm(^q``k}!U#i$RoZc9c_www#(*=dD59+PrcdHT|S6YN}d+20!?A$!6(l@aNO{7k~-
zA&1v8<lO;7Da9V=err@xf0t>NCxREIK!oP>_7q!F1}nvovcN`EDsVc`HJ@rZ*@(yE
z^K!Iv)BcR$OJ{<I?kN^OP(x0&lImYqdf#93>+WnD{<(kuIZsntd?55#1-q;TNwCxE
zWuGd$2s43R+j%~NbJ|TQ^%#!FVk~!bNTZ@WJfr1DoB}Kh;0$-39S(bY7|7w>?QT+r
z_&D5zEIVBc3;JcK<OA-=bQOKL9%m<JJ57-4LLs_xeR|8`Vy3QBiaR%oe6uUNtUT)s
zr2f~1$5i%ArRuEtw)`LCRqO<MEZrSH44J7{;0|fBinr0ZYg1^(_IxYaNwy-ZEk0d!
z3$t@d`qeJaVSW*nAHlpYb+gWdDD&^%TxJP3s^zMf<CI%n7@4Re-2d#W;!q2h+{gHC
zqR>+rQSR|WwMtqZ?f0D2uXTHwk}^_}*)UF$1L=)rh#`qLE<EBCr~ZeN#WHt1uG&gf
zVDyM#6aEa0Bw>j|AU?XK%Y;4MHlbx!!1we2e~}+TVz5wb!64;MgnwOA)2u8(wuC>W
zL+wnp00>G=87%{v85kT)vvjktu&DDo`v&DDn!!AxBf`^z|MRBXv7w09VkzjqTgpQ}
zdMuB>K$3;%@1awh+vIU0P)M^~I+<1K`Tl*=#xW82AmNsbc<sRJ^eF<%xCm2vm(lX7
zkrJK0u3xp{RFoF3j>D0cO9xw8OQ^{I^2x+me1hqXWhE++<GeIRb&?Z-PI|B29EyT5
z-md2-6`P5m{#izli~wHiwT0kLOW<ig=P3NduokAYM>0po$~)4H+o=#@PURbJ^<<qG
z%%KnSLh}D&Ak$bbE3jDzwerF*<W|B~@Jfw1B(_QQ!a-+_&IP}OzoYNQ51iUKPN#FH
zQKyu<Q593f4c3`>{WnSd8*z2GfqeMTTR#av9fKO>NP)^X1W;)S=`@S4Rzo$f$OME&
zp0FF%nXbnTtAWD-3ay5=_UBmh3sO#_;y;H!*^i2Nr+5RkB^6@T=%O5CNgdv=%A!di
z{#c&h@GBf)Zr~_4Z~umJS^!e6jmp{^6Bfq=KBZ(lvY^6c*P|b;$UFy0T`Rxm&bwrj
zCqSky?jMM}Ic#;gCd!8`6l1N3M97vNF4SjKZ&z&(jkm<!m!8V13A6Hhp*Pl01Qq$=
zb}i~595bX(ZyXsx7hHLD#C_I&QJcgP!BuZ?MH`KS+%J^NH_B>$cydbXkv$>9A7cZj
z=}TMrQKX&dJ6B)x&89U3amb5*PC4j6EOQcFdvP{7;g8%|3EBu~EV4)$`SHAXlxV|j
z)0O*e1*4&(7QMZ)Zc^oFp;n~uzaI_C)V9o`YlYI~J~I9JxMeP%-AOLmn=CPJBA{$h
zJcPHb39!a?#Ua%4V33Bo+}wxW7yE!lND*Fqt6`D2);}*tiDcU~HWT*MVOi9Hbr2ib
z-Nl8t!oz&%(0iO^C**^uS^;T0hCk`|@Df!UUQao#qT8_)s3}pxkP-3b`$`9$|E(Mg
zjOUcejq}^2dgcjgHiIT9y%s#Lqz#TnUu(;8N*yiUonBeoz+&a<`6bVL@i27JK>|%d
z>hZ>ctji*E+^tS5NmJnIC@J+|PWX|OU{Tr<<JXT>O<ZJpHxB}edlq={#~`F!yKWwf
zA2_*Fv<!Ov6yKM7;Br8SDyl9?-wzsgmTW0+rZn^y1k<J%r%8(AFQ2I_$llxGZl@5G
zF_+<-c@EGk%|GIm()s7P{5KLO%~8qyyDEu%i4Ojlc*VyIuDM7xK_RJ`i81V%YUy+z
z%vk^#r(nPw@L?D(6@M0@vLEzhJkOr2LQM&Uv1I^c#Wp{vUxV{dNPATtMvf1PEYoH+
zu-^St=;Er{y|8kWlI~!TdjYa$7(pb4nq9jz98$5nw-f3~$F)jA5%G+sK_XCIH|`(K
zECg4x2^RtVYviU^SB{}Awp3;grG1xu-xF57b$51XSqAx5E6G@3np9;Qn?}2<T=fYr
zR^B})pi1=)IzZlC3C>gKBh;BF3z<m5>Q%Fly%)@%-fR!JkQ;pLD(c!)<tiOjA`%HT
zS9nV?`?PV($gmUg)-q`$)|fv2O3913HB@$k$#NN!_L+!{)<eHi9xO`IBXatPmd^-t
zE><@7cB;eF9SI@aI?@5dT@D$%W_Vxlm<`i>=({Iv{KgUtKQ-t^u}oo7PkNL|%u$-~
zJ0&D9R2cS{0v^!9d`ll78SQ1)8!sH8KTUqp`EFr?Vr=~}zr?z>W<094qd;-F<ygo(
zyY}CSxZ2KoVVW7y>T{56VqiO^k18u-ps&wORC-MDvTqy=K$)hc_t}RR;>H=$V6pjL
zPr3>|9~UV=@7_Y~9Y^zN92As<MS&+;tk#!IA+!bM3spIu{%$)Flbs#?$F-xAHAPtG
zPu$zlpny|#rC+<g#=KiNpzOqz5Dkm3z2<s<N6*~hXII85@2m9ivDW;nS!uiKq8Fwm
zn6o<`pxn#GGc$7Q(S|!k^43ohN73lulsrLJQikKy(|v+uqwJ`>SmUmtgsUUX*UuWa
z9Gk8mB(7W=pOt;c9xu2n3vX0$(iy?#*rWV{-#LH#c+?eNl38g)@U0z_-6@7VIEl~(
zkfIXUhde8F{JMSd)@J+x-S6dF2hb~2+as6G3#Wo($m!22-CahsbrG(5-fl8Gwv^B6
z$IzBq=MOjJ+Z{6_+6~0NS)%hqU;0KjJA8|6P`G~|`)>pJH|X1%F;)%fk}%Ng0|)~z
zSE42OW6RKSDS7kC#vau3&}SjWjqp5ucE;Ien>>HgRn1gbghAQI!<FDE|8xKb@Bp8v
za1{*@&Y}UjJ{LEjnuTALlAYC=YVgRWj7<SpC3|Z;{N&ZFen55Yi$zSln3b1yCO_Va
z(fo`;!F@uiWT>`uiDFOhMTAeX#H)H#XAOq(R2SCaDVZ{-arYH5K2LTs!b=l~l=R^^
z2cL4s>99h8oElP9{P63PGktAixa_^vH6bpo-=5a=%YH3EwKfg;9Zdi59Y>y-xuPHF
zCP`d(2*{laeGQ9(RUM9$I>`#0mLw8;`3J(f+YhXIcD;=tt`od7z~*TASic!jQ5y5b
zvi2udMNQAeFjiLd_y1KG0bwGBB18;j3#qEA^0>dfh@1<NC4|3Z#p?ir`_!$vqNHK6
zgeI+ibHyyuN9TJpBcr3{uk&61sjMdRP$P0=E9zJ!0*E(dL^%Q0Z3NwZdP=uJM(sqx
z^H|;SpLMlt*YqO}WkL^?Clf9Dg@@0Hyhr5km%1#`7!-((^7n;qHatSgL|)4GK{20n
z-=9zO-X)X$yaZmV`)V3o|CeOaO!h3RwRYN>nrqw0W1mhUmdeRN+u3P1!6Jh#LXbk!
zI}y8^dMDOvqR{0&0%#%d2`uuc_zNG+`<8X;O{qMq&f>)DqBAvhbr`$y&b4IH$3r?a
zqBkmMa~TXE-@IJqXuljSuSmW$zmzddyGcA^-_K}yz`=$cHSR<8{ggEdl3Y==OIi(N
z(7MS1zD7RD3t(`5?ok+cVSF&SbFKJah2||tmnT*?F9dKo8Ch6}#udMO;Ogos=(HFB
zWvuaI77!E+2h5fhZ>~-@cXxS{@a^sGzm$}`E`px@&KgN#`V+xfj1STCPjL8O(`G4}
zIk^yRG@v<GI1*49?MZ0}hBw6B6klxN+b8a;U;@>Z{6|BL_mE26&kxGL(IY{55gHu}
zMVQOS@39N%la59%K|WZRt6X^Va!)dqV7)r@Ny9%FSCgbU&Ix}nS|g6$u<@feTXc;@
z_U;)z^(N)YKzE-Jh_RGzlpPYHYY=*BC;+yLgYFp;BxJ5VB}krG?BQrt7TVxArF{0w
zJ}`-_ZqtDEQ@BRQ&?^e0d60M)L7sb}Xz+aM!BY1xPs8WGv73KREcW;W>@V_F`Az)#
zV90JGqw4plhOj1|_vPE9g{!LTq}e^Oc~3p6zn}d-9iyEtijcaYHD;T%ETwWmIYt-Y
z)7tG?S6)6$XB@LpsFvB$8_zH@Gh+*mf=pimnn4P{>M;!A-u#KzdCo|(W>`zrur?I!
zH>J@W47#)5P2DPaRF}bsam^_Vu#$U)`c;N3_@8g67f{$RGRd~36Uy$-1HSCZcecw7
z1DtWu<LDKeUUASJ%IZYz@}lr&zUqWYy;T{ltT1W1M`k}sv9+iN^VuHre9g7xhb=s1
zTT15P@*sIZo|Ehm0IV>UZY-kV7;~giPouw<p{kBm|Io}zlRkqER0M{v2b^B>YKjug
zJaywGm7{+yRr#AYe&#j>ubZi5-Tap`CkqHaJbVDKhQ(5bV{p17I~mvqpEO9hQ$F#9
zFdhOILz`d*KK;xotp9tBVUa>SR!WqbnTs>IPNCWg{K&ssnsuPU*(F2zb2Er%x4Kcg
zySIDQ1Cy13D3#nX5L0fW{*D#N({Agp@8BfDR!@@y-Erx3rXA0N?(i>vSt}h#t7CU(
z6);y#t8<`@(%+x9TXXW(2Y!hiWMD)0s7w}=oRE+r2h?9NN{GSzeTP4+ls}?+N9+LA
zqRqCf`Qr*QI{l2#wNdV9&`@q!gtcaxmJnJy9qwP>$_$D}m%|>3+RgB0A{t_2UFs~Q
ziQxVwC`a?@Qy$5uE2$^=D(1)!{017a9#xT>ooCj~Foa9NoNx7GrW^jyIgfhg0G%JV
zqV)EH6_T;>lwHQKZpf@@fcYkRCzjwqf&0%RUf5eH4Hd2_;rDDuSNjcAQPW<!zl%a5
zObuT>b?>WkvKImR_OSN}&|UC*EaRLWVUI-2eYKxS=HX@ai;Tsx{rmK-7&qcnKGh|4
z?!B;f6W_gg0=XNu9Gh9qYBF?|C?5SfnE8RI*WZ;Ksh)~~@K&RrI?fK4sPaT;z`uFU
zDBwCZ^dNr4m;V%RFfs!XCg!*loMn<i=P6z|B+H@vt1=16kOMwi;hFuy_eHTuLxEjj
zPdipnfL!1m8#Bo9S8ShZV|I;V)0^6BxlO_~ps1aDlLg2^+D??FqJCJ`U<JESKWi&B
zYApA^_v67uBNfY)`!@}>F{32)(`a-yZvQy)u@w{FBb8S_;4B?=TXxrJco|15Y5QU8
zTghoI@MNmT1@t6<pC|_jr@oVMkk1t!?qOW9{i!jV_i~np3Q3R;+hD>mS*onieZteH
zB&xM61DPmVr<-vYl$JhasR@HUP>V9ZdpAhM-?to5EZ;4k>+!L7Z(i!1*Mrna6uVwj
z%~DQsS3E(Fs7C*a!MF>Pm3<wQQfefF%`RQXJj$v!d|0y_*Y|{iz*~V+fn#MPRBATm
zjvya?d$ZQfOB<=6f$zXAu)-dh*?v`lpJJ4?yz|J=A6u*MX3SJrjb<wJx@oWJ>xO_v
zkNbf^Hp{;y?_VsrSRF+ON|(gQP(PFU;#2>u7weE5D^Z{>7`7L246=m+46|_S3J(H!
za|lM)F}^S~CBC6R^c`=?_vTQ8?TVziA~nweePr5w%dNqg-j3eT!RywsC}gHB-O&nY
zwr&Ra*-g=CSZzoPJ$RYmT0E)d;StX@;Cf+cNm_LRCou*Va9a=}-(Fk^b-IcRczX1%
z4*HGH&|XDoG(yk#nbk|hcKG5h9Z<%(tV@?=ao3LYrG75oe)1DFz>~$J{fK0GVp71E
zkt-($$&cE|Q@ZKf1l@i0f0(a~8B*5-UJOdl`%1o2R8~}ceK3E}?dfn9;MA`K<0tck
z#B7>FpSz7jPg3?Myz?VU?UE}f42yYwAZ=dvC^b~+QrUKqeKC^Lg$ok@xdfe!SyM?3
zGah^Bkeg;|yrm^8D$#9Fy`ql346m^dH<!6Akj#ql@Osl$rCoeQo|UlEwBQj#m|qmu
zO5upeL|_rV^@xZ!)`)BZ(|*RGP-jZ?fSH$PM(d&Cb6dE%$yRdr;f_Im**rWz9<%`e
zF|PYL7GYqKaWJ7AN!LP^T2cWVU~RYHLRoS;I8N}nRY*^X0SOtI3~P7xKuJS6v6(Kr
z{+cWUblY<Oy>MiXC?B6y9vmGFt>0BoT@(&+&eVO~Q-f=u?VlTitK-??H8pppR|d^t
z+pEl4XrABR7#AKT#%nLxD4G~S{tL<SqdxD$I#L+gMXaiz-V2how_Re3H;hI$j7sm8
zlm!ggU%e?ExcjaRyu|zJZ9VZU&p-8HBuO$oUM6OFWMf)z=s!o$J*DJDphYe&*N2HK
z2bdg0^{KdB)Dpz1<FMzH^uXr;V5WAm5fgtFZ}16KxIafTY%f>(Nf#xZf^aO9gT`%-
zmX7I}wRvBU2ioG3b=pjwa036p4MzLLV+frW2aT9OAVJ~jF6wUR8c-_-R(*cTzY*+N
zZSZzuRe0Q?&*5jv0*u->e1+hnx3$C4=`gxH9nt*~0F3dB7*Uz4fYVgENJ-+PMw1rL
zgv&y&k`%S-jF-J0oft(t%P#nJv#4~je;+lf^Pk7|Z#|er5Qw~1&4!@CIeh@;g<*@&
zl&lC;kOifT(2OOs!sp|fG%tZU2zyXLUfuz#4_x=-xVu{(|FxmE_W3Zj>}H}(5uks_
zqlB6z%L<PSmE~EmzhSK*t}G27tIP~XjD7@^YpY6UZpYwuZwtRi_FIuv43yV+UKW6H
z=TztZLCdW$6|plta0P&+C`Nk*c3jm({flR6vzr#?3{)NBxYM>jE=jAb@ZKU5+Zw>-
zpbHrHv|>*Px5PBuLZx6`7PD)KELQLl26s51E6G(JaG}|6r?c60KlzMbyqoPYB`krI
zmIz)}f!SfCBj(f8J?X1LjZ}gSka2=52FM0sZG9)@Y;vYl2U5pB&~@MJh7{h)6>Km(
zYrJG{hW{qD@1KxY@6fwKky{byiO}dxoKXceg^A(8zU+MP(nzlzs8(o#8L7c0R1}FV
z^2C&U++DB1L@7?{d7*PSwRk}TKW=D;ASgb9qmf;Ld)yx2nidw_oz4FSDsMp^tg(~Z
zNrn&fgUShSy=xWiN@&e1zDHq{9_!NE){7>=e}u7tRfhWe7lGcU8z_UgL`3>H$TesM
z;bUC@GIDs_$FZPRz;K2On4j#`E_6qd2}HbP{Qy{(=QTG|AfqT`0P%92G@6mo%7H`{
zoqm2WuktTfVCT`;W9e~qO^u%wnbE(%X+4dpuW%0%G2hMHRN;=3nXk3^oE$k+2cP5n
z^o99{Ov`;AW)^>Xc>-CQJ{+X$4Wu&`@5-o7v}?lqopqEOXA8>GA=x8%3&vf8017K4
zR)NZbV?$!2l5>wie_b>}ZD3Id)@L7@H6vA5v}5qwSTt2^vYDpNT@=^-rxZR7d8;$%
zNcn(f>WVAwkxrc*d4+2$|2SxCP0oTZHg_&W?EQnS9+c1(+z1M}H$#0+V+VeV;pRo|
z+Lje(qMJA?)Lk3cv>~5F4Ng=utiX*_hIbNNjl7MOX?)+zxt1kGNfj<`Hgv;pYsp!@
zO|v)#*u6U1cJKVLF8mL2^zVzJD}YL=Ojm<2gk}-OzC!5s=}da5dcDJJ8=v)3mDNj?
zl_aWoZOj3T*JSYwc0?JOplElyRYOio9gpz|S@C*7Qccy>A$NCve<~$FH<!LrH!l>4
zM5?Y<g*R8uyAFw2PgC~|Wr@K7(`KID2C$*BNSCtScyjpLw>tp$Ia0M7fe4u@lf_q_
zv0|UG`F9}lorc<6UgqsX9Qz{v6X=#_&*@zkPCq+qKI5jGoEhbIpN-io%?Au(YJVC&
zK)pX)mN705KEKpeowG;?e$jLzN7S|096{1DXz8Z2v0TSZ*!7I+J}tJ>M5V60KN1wd
z>2~B9M}+PfAz51Be)Kt>+;h+756&iNh#fW&T~PL5B#**rVARdrjik5Tpl3LEavgKH
zBnaDTneQ!qmMPs)9bSCq+RS3!9xCOq+p^!m6Olbml<F*9qcpf%uDCzC1A+q#%3jfZ
zQ!+hDdQBUArNqeCs3Btu!|%Bu%wv5O=^{@@d<oOh$&dc8;oLY)AQA*Exx4fc$M<EC
z-rfc;ml2Y(MzcxjQYz!o0QZE#)A#IT?89vf68tMm(7D3{e6Y|;wQ$)j5W&crcK~dl
zSTzBTPee40_4QL8j3y25dw12r0VZBskd@>cKvjBCLE<{LV(3e0X*aM6Onn<)^TEyS
zIhSsTlTzKqv~5{x4P5ZHlj?5x7ohm=i0X=$^>16<HjM`iG`}(pB1^Y5BUBUsKqq{`
zc&8ng{lh~77_Pv?GDns@@&cze{cOAxqF)8nVYn~aKyFn!L7YjTp(LJqBhLr%DwY>G
zYz%(C#KIPat1jV+C}wIW1Ro#GIt68QDOZ1<)LCsO`(Q?|j6b4lhqE6Q=sP@K{PRq^
zG=2~Az5GhK+^_{bE7jo=ZP0AXhn&gl89dBc+a;N_ESrfSc>I~UTx?c0Z(n6I{wUGe
zZd}+si*uVMR(zQ7Cb5whN$e)J@aHm@ua|f~4fGK2h;T6F%yGrZ?jB@E-jfVz-(f~g
z_>p=4h<@pWQ(C;!Fjt_;@A5J5?tkHqZSs&9{8(LK4(WsDJZm{a!iPF>KcTOKEw|(C
zBEbak80Odpkk~8$C4il%2n!&R0=&GYfTf5$b<%Ygk8X&;)Wzv3FP(C^2eC3p3@@fj
zQyR2(b?aBP10Y<#e*H?ZSp@{>dtC9LR%AynDJd!W&y+Gp-SEC!d8Z=g^9l=*O)cZ#
zio<x{KLA@X8LL6j#Iym#$sa|kjI8lp-w2;@B#$drIfKQQXQUlg$VE;z#=*lAXu7}a
zg_~Vr^pSi7<M_(m-AY-RogqqXndv2U`gw#~*C~_Vcj0ic>cmR{EKDEn$`BJ=wnc9I
z*;@yXhhnE3#(DZem7BrY$hzc-EaPu+LkZVR#tz`t<<}GLr1B?k$SLb=q?VRA#`26d
zBKA-@P?%5+G({HBBQ`(LaN^I;<%El>;kku6vGbZ|X_Xu?A15zerRgk{3q?{LeS$_a
zVS8(k+O1xVMJn2%<-==jM9gHUje??jcYxBked`W)1QEVjGwM63(G+HpRaHh!c0oOy
z^tUYDmys;H-G3xc%o4~Zx%igq-qtOYKCdLa9h?RelW}*i1*{xWRgN3Ni{nmJ*TKvC
z^UX7tzr|l13n;0$15U}bIF1V~a~O@scX$REc%E{sN#Krey9PJ#E|@f84j7!#>i5}d
zM$0~fQ?r6ACruS&1A%)DEN+}MOll~KX||q9g{-x-w9G&+i|t+5R`t*HTz?AQR(-`R
zrra5e7Wh#3-L)38C#CO70eQzC#~~JzoioHPUqKQ%f~z$+CW;iHcmwNNuKOhc%Nc@K
z`q0a>am>bmD<Yct?#6GFpPlx8rZ<hO=UeE{BowQfJ>dPBWlptyEXtT)f=DeV6Cl+P
zt;j$i%uxzcdf2~%4U)8UaYm3H#QAUvQEh&M3P@f#L((FKcE{2bn!6Rx=+9t94&>x(
zeNjc!vhc3av-hA>#$cMyVT=UP?Rw)L3ao>8Bn(}f$EJKZuPK6W((-$B*qsqyo=hC4
zO?HKR0GQj@KpBkfN)S<)Ov1>$0R03^)2*|Rm!r>aVH+Bx-(=bb5TjY(@%TvTK@EHX
zD?Wpz%Y}qT7bKZ+Tocaz*a2idTDH3-S7--O{P#4Nn{^U&<*GH;KPm5l!IB&X(Y>(}
z7+4GzqIChLN(o6xX<v-C>cXp+A*`6IvZj06+a2kSEtp66ev_IS8i9aT@?3a3B`$t?
zv5&?x8Xa(|Rh*3#UV)rb>=zT|FUD*y;F~O29bkRs-<A|i+{Ep=#q_cSL`zfCVHm@s
z0#n*Gv0p6MUQp|x7GI?Ps=anD-Jb9o7kEf<@;hP(M#L*)0HyNxdz$Tzn;X}=z09vq
z1~u(4FT`~Y_{m8df!rX1^b8W@7ur#?DJ?vja-R9-uM>U0jZBXX`=G0jv|;gu?JyDC
zuSKC`P?&V9d#xV{0OLEQTn}?<6b9UF5bTGVJYFH*M~uFt-*vwrVNI_$KCVGx5!_r-
znI71U+taZbn=(xsae59bw(@kwfp1QdM$$d7EBadVABSQ^EvK<!KB9H!WtREQc<fKb
z@vGH=L}YKDaGKz7OMO<%_YniyeD~Ktcg}QO`P9ZtBEkragWJdAyT3`(j@?(B&Xhe$
z*RAF;zVK`Ga?4LSH{#c`_Ej?mmZ+IlW&f_dzI=C|2w=`V&Sl8E<{rC!tML?x0h{Fv
zI6@ndJ}Df&Q5N0`*b`3HyB6a4ca692xupv<g_nXdS;leWbW8K|J7vk?w;>qciE_|A
z$--Z<pd4<4;9U_feStEZ7F*dx3@_fQJ{$qwhUKu%=>G=wVe8fCD<%ocT_&FY@B%Y8
z8lGwyFjYpf#!nP8zTNq5IPl5gZLq9lpJ?i8@?*C2tbnFk?dV!M^@NL(4=3h7A5AV(
zBplWH4Nwc@Sl)aR9l(t|<E9gZq+u*grM}I|iO0~uZZUZFgOY_bgDkz<^|mu5B}3A=
zN4;@*a?kb7YisCsn&#l)4*jS8weD{|Z?=RM{Sf>UE~NhTLToE+6Kn>1<kXn^qAKr_
zhgN(W#R4ZfxOiU`I@^i|vtTJ1Mi-2zXD^$~q}0WA9JPZv-l4ety5hDuo@u*r>+Tek
z^1B&%82vl)<Su4Me5XNEb`fLf1LiqH>_ot;frr%GxJVCyU1v10%afQ~DlW|?wMceq
zKJkFfdiR(t@{i5m2*2KNt0gLKBp!+OzNpK>%iOZM`NG{WsVYdJ#*IVr<?T2mTh&ee
zd80ig!Kb3(eUXS~!7^yKb0pC7Q3>HF8*W%&DEqW#MmINYfdXx?P0vgq7&fyu|D3>^
z*+V8ekn}6bggVKQ2g{3Y?sLsm?@*`29sjGlf(^f5tDpBHJNK#*2$LD9=DT}+(e!J%
zohp--i{5&F2Zuo$9k2a`U!8u9uH1Lr`^Qrp8-azd|Db9Vc(J;&CR>|-R$;*PKVBH;
z981qN9L9cl9OSc=xMn?+#g|uEY%RC0e<s#rxE%*RQ}(TOnCm$3yAZ*bW32(jg{XyC
zLYawTU$^yHKK<Bl6=$WH9PX+edtF>(Fr!=6JNr$hreeC{`V8r7H%0}ORhjw3_GhTK
zBL<-&(66C<2z+<-R+!xe(QVD%8M-bsr0~4vJd6`%u73H;9b7-`NhVgkpb98+6g?+j
ztEt0_1}4#d4r|BDxyJFc`d`B6;cKx;B?^+=CQ<%)uo_J+B-g#-G;gD!`bRs#v;*md
zID9IVH;03-(5Mu+>(t0#eMYXAjRsYdiMT#xh^Q4gw}b|!>Z8_Vfmj4gx-=u?)33&n
zAIH+DeFRo`--7b*sAnU_KMW^N)d+^F^t!!)W3|!O5by-IEu)4mJFs44NKePg<{k0T
zrA5=~)#5sNK1Q)qQ=&w2P|Gv=5j<b@z>SfgPS|;SR|H`9pWaDyTgcS$x~AcEE6Hjp
zJE_-m5>d$B`=GO{H)9cpt~FmRw6_FV*x>A~M?RE5&J2cx+*ncHYb=|@+wLfAoyE_0
z3tuR!5wjUY2k_l_-L{@}8+);?lug_lxbJ@2$omR4Ew-}7dsd>Eft97*3oM?Pe<rx%
zj1Nz?pQ$lBm~W;}(@lc6y(1Jl>UD*ZC!so<i_px3+t~Rs>hFke8lH2!EHiF~MT=ke
z^mi3qZjR&wBt5RNo=guYXBC)N2dlKwL|M|<-hgJu059YCI@s<c$KEgI%+kN(#Wl6Y
z_$V4%dUilWeZ+S{F?!?4=W=yd$hqy@h}K!91lPQqCo+SHnv`cZHe-#X>&HqfOB}*U
zO!RhTY29Zddf2K1JkZ2&DK+`0pJOdIb0${0NA}h{YDzF)H$6;MP==X;m8Q%r2t09n
ztP?XHt-4AMK0H=V8q1a<%V(JWp+G~u!eR2v>SirX)`d}5Ad>1+OJq}IIO2U`P7X$h
zCvLU`cISmAKQ=4<(cLiEZ(N-Wb_6*coIa%e9RCc@lfxGlt%G(na7_K=R@5O5l>5WA
z6INHBHS~ykkXy+q;AWe>KZBGTdWH(?D4!Vb^gH}sj9Y=x+MS*<0c(m<RXqj!omn6p
zv$#eOgG&ZZ8rU^#5gqMc%oRLoXUEV@Pp)H^BKh|jHyoc<v^%BrhTgoNTqSp&GU_gz
z<XP+<mgc~p7jm{;esaAoJi_Jv*h0DUvg5bNF5?v3mvAVz;`G5|3*7ich=;hftk^x&
zril<1(M+J!z&7#FWk1=3ZM)u|CBpCgcjXOCcJTJtczEZ&glk`$<Lr6?TyeHOZry70
z7DNJGxD9I0$@*Q}V<6RS(z0Q&@H<Pp*7Z*+s6c4rRm;xCT+MYgJOCZNX7^bQVI-C)
zqV+hKU*E}6_I06w;Pq$w978KAV(8rd%<SEWD*<~O;#^%=ajUSf`Z=5X&ZpbFdFAwi
z9{%IU1Hy01=H;hZ-90T0ps#AqE%^IKsNP2ZVqyJ6!TomXIjZGu$tKrPXU%-PLH@<G
zGO6QL93!%c{9eCBC8w$G8FHG8l%jw2gUTxb9x<d%1FC0zMgMCaQ3+%m(`B>6>WIjE
zFXKv%_e!RO99<llybF#ld?<xOYs`8F8ek~V8wsv=h&`G>=}9ejTYF!ZAD+e(Kk*tZ
zqweKy7aM&Y+2VT_?!Xq*c*aJ?w1!a|rs|Q=wqRxnwhsPhvO@c7m&vxkLO`PG($&*k
z(VT+oEHUTT{Oy#BJExr8-=kAE9Z+iSSe)2Y+bP!v-q0tUB)w{*e3!dT*<?*oZ`k9A
zvY!1*?-^?cUQ@``W&~cV&mgsCjbN8QZv33;aNi|4n133hUQ1DEh0&^`#m6x=)n)2)
zq-L@Y16~p7&b5DjwZY8QCF*K}dg=X|@Jm_nj`zvRL@}QoDhl`f@f2|5$;_%<7UVIX
zJ&T?6IhW`PADz8WvGsX|!hNpJ6LeGbV=uV++IAdIN?GmQu^D|5o{Jga%4@qHq=;IK
z@ohXT<9jJasrf@1SiP?FDwk%5{)VmFSz_|4w7yS_#Lc0M1>ea0e3ZbvN2e@PUoz`d
zHo;ee78@nrqzs=m6cy06QtTtmq~3;6^qsysJ6iOw;Zxwro;E;cGu6J}wo>Js1ANqs
z>Rh#KaT9y1oL-E90-v*Z^)=n$8H&qE`*TN9e?q80Pn*~qo)WIw?gim<s;X(#+WLh(
zM3u<9r4`XGjH>&UQ$ou(M8mpSVJKPY8`kSbS7+knUpbJ=C*Cm|eO`kSKdk$I2Gx4)
zu2r1XpH@%j|MulZEp`PmBX@0*SSnHRL30X=@Kt9(pV2AUf#uXZHt(=^MD9lGLi8>*
zwksI!d}DOMdRJ<TRsu-27k)6i(U2h#c`{4io{4z(W`$4Z?v3?M-paUc8Rb2PKt$${
z@%S5J<(ZNV72S<_x0p<eoJVYw=EQ!zmTqF<THc|T1Va(jsvPb^caH6^f2KuB^M5Z!
zY1<i`O)4G;lO=KFun}+r#Vx8`Z@B-yVtFR<czNgYy$8x|6$OdWW~Tv#e^^Z(tw+l_
zAGujvBiNCtvFCua_9uR2D9i1<;>Ky%67#_$rt#lxUM8X{6b<{`bf%dnR{d)ge&>$;
z&OVdc2FS}f<Xz`@{*I#^O3~2ODE^LbMTPgL5`Q2n#?`%>{@ioox8N`1zkcPkw*Eh=
z-a0C(_Wd4~l9uisU_iPVNtJFe2<Z}}ySs;U=tfGqyK@MUR=SapPHA|L@qB-u_upBw
zX3e?o`&_yAzLvx49hhpXs>adE@UiK4p^Yp?B@E>^XOk*Xnyk<b$;!GNcifNF(cd_U
z2?|uQ`etTGqbZ*S+}&JAw1$;snW0-<`6b99>)}-}7U=@(djZJVR|6~@oLry^zGWMk
zQ{N#mR4%3dQIM&ttNU56YT_g4Ce9RuJ0vjS`V?m#wPqaYUTdhCrV_n*jsSdAt3s^O
z*rM&@S`u^oJ*Gh<+4GUz(QRw)XF}hrZfZ)KoC{H3WonGeqZZbT%g{-U)d<F8_fak%
zhaLQT17A!QjBaU#!8&Azn9mzlFz2q1H5hd{&MKWk2c~;<UI~8Bd^DaI3Hs8}!uxky
zNWLI3p9>w|rP7Y5aI7=1GnYqk=0==mjoak73WST+X3u0E!rSp_iV<D$@qC>*RcxXB
z_ZPMZH?0#7^ScW^BNte~MrKMBUew^orDMcc2|?I)o1f&gmRNhRd5DYpYkE8Nx-PA8
zgI*&U`{Dg!hliDDwV)x`9e);*@;imS7h09!uwD*6qS|aW)u_RIZmh4a>nE2_d)Km3
zkzE&GH;k!{Mb6zyTX8O+KkT4w&)<!BmrQF%bv$@iExjw<2Ra@rhG^T|_guC0BhA<C
zGeX8~)E=oo=cBz-mauH$7?=Ak$VrN8vCc9H&qr8TSV^*qA(oYeg-5ORM4F@o^_cG9
z;6PyY8wfN#Jx#HkANmZ}qyx0qe)nr$x-=oo6whBOGSOQB=4?`2UM^sb>+fn}(kn>~
zz%$k=B=Lrfk9`SfOz~payEKAK@!F&m6Olcu_1xW?icSGUP+y?d9B0Mu=!@wdZO_xX
zRl{iL@U-VX48Ktv0XBwsdv%@}BEPq3@)N}-2}uKh2uEb8-5I~WENM{5g>3iJP}_90
zjoex4`c`Z|Gq{U_)|=nqR_2|(tUww~ycu@N1NnVfa=%TUPS^NsOd5VdVg^W$Ct+8p
zO5WFOh)|Ybed;t0&GOmgkrSPIW^#9SV5l9t@4rYA&}KuTlRhzwir4b>l-@fm&O7NN
zbcDD2QX|ag-nXY_eH6CzfNIwuB7=!>tv87}vuW5FC<&_28jRNTZy@E7dy4+%6VIE7
zW4NJ{qJHr7#^yR5fEc<w9nTt9&%=|kT<U#ggg1}z)KB<B7hFKzscL#PFcAHy8rDbQ
zi#(0hqW%YB`Hyi@LHD~+1qzVbBU;A7d&@`;RK5&a>6$WtFy5E2MiNdvJ|(=ax4kBK
ziBbl{YUh{7>kwdTjhxd3mro1mHvD^FSTDYumDY>fvjXupsuyg+M5n%Zz7K1h_lV1P
z2d?9Da~2})3>ca@F{ZJ<WN*^a(yGixsp**`R@kNHSi7rl&$R1d?O}Dn-&pq(dOd-q
zR3C4-_5~AmY5qcN+)NNlHXgaNWwC+^>)#}-;anVc>Z^P;vU4I=lNT4fdc8TW^$sf-
zzU+CP7}M&xs0z?%oSz$<k6WR))x98Tm+^#}umsK-#OLH-CxH{~Qzo&cNgn2}AU<}M
zk7d5xy5$RnkuZ~Ls|`*tmSlck9Fk9)Wh}X9^2j(phs<MoetML-$Vov5;pdOMJdeR^
zIYEyNv|*6G{&;;ULm266jcj@mO>bxG`&c0St4MZv;bzmpzQ!)W5Ol{53BY(p5-$al
z>@Gd;|3>5`bS9>Z&BoR3hMR@s6O<N5qDEBOfBz+y`6z)lCED0*@C5<Pi%HMjJ1U@F
z`hP$*6#mbZC5>1SHCnwGZ;Hd(V+~#etz`(iriST3tBIBk@nRVf0txX<;1?PoU#Z#z
zW*t_C3&RztpZ43g!M|G{Xl-lgY~6KeKrzYovA<dolp^)~BeOAHpuX3!6u}^yb<#Nl
zqE@fLhX_VoZRarS-&@durtf=DJX}I+Csqh(GQLi9{)f*8wzJW0IXn~8APhRvQ4nq4
zChr|nL>2(o3(xbL^sd_;EQLIZn_W~u_V8ez76rO*0D>AM{;uDJf1iQDLenckx0U;i
zGHdvU@V;?P40=cVg*;6!M{cN`7|pw|T<8*fV?nz96w=OO;^QpG@vb$|xwJMJui@8o
zF<%!Lj*KBAO(*~q-5jpri_P_xRfR}fJT8KA<Ry_=TYE*}aOGSMf)$)*7b%&*ADn_!
zw~gbgVmh8Xg{sonycqq;jwRhZ#_x!v!6e?LXcapSH=RIw0@*Okydn6B92XbzaqFp$
zLgBlH|H0D<F#hSao3rCV;c*%{P$^044~F$7#O}IQOaLCt4CKhTqaO6GD&^y}BrS23
zx}@F^>rC<Kiw{HfC@3gk3@wm*8R&eWB+QTPCKj|-E6Ek%TUD!+IJ66TqP@GI8+x|Y
zw3W$w6KDM+;M<(^=DWXB$(5f3A02A~UmI&7c!#;t;zzB=vFbt=MT6FEX@5;5zLYfb
zAsx)<Em$_N_6Pp$Gsep6LL2s@=V0nR@GHoO3{@nkou8%$ZOi34@nH)<nOUO}ED&8E
zB}Ize$MuO=jXKi99fO?ZQZ`*aWbzbppWY&dr`+a~jnb4{BupxoN|~}|*sBYqIqHLl
z{ldRhkeP5RzHp<MARJnsR(?MkRU|2pGs8Ybu$ONtZYb1R-$p!-_SDA=4V5K&?NM$B
z6S0h)#gVt$wT~3c4NJ5}V_eWP!qRl5>IUF}O7S%T^D58Ejy3maSYX8fr$Ti-*(`B|
zb&FE&`5)@RpK<6XWC3RX^ukoofP7xL;)!OE{?ijiT`-<Q{(u9NhgeN8365_;Bb`^*
zYd*VaSnnC{y-{89F6r;ti9is<gI8?#tW3TcPzp*Ha0v+v53JFF>vp?KZc^1?qgk(i
z6Kf1!6MUqQR{y|x225}K8NpR80#tC$Ym%d(Rg~T>Bjz6-#=L5`@g<=@RYY_*CDOwy
zw~Il<F`P`?jUPKNU*UhRt#%6$Ao7gx2CqR_Kb*`>&y9OzR2Z!?zjxRQT+YVz3L5Vf
zl|4(By4@_0jargShcy+Y*!PxuW0*Pf>eTJ0&&`xDP4>)B2)k}ons$`Oqm&%$oU@v9
z%ml9v_(Dqv^jFqq3bvD<1v=6*aRcNDs3O+sxK<+-^|}Td`a$ZpzE?~8xe&)3$6tT>
z7yW^R_zVxqzWQbpUzb$?%ZT3)+Bc!15MOuAw)=(0vgxaoB5{{`uZe<r{gm(6)z0-n
zUDTdNIDb-qb<|sR&W6NA%XSY6_q!JjEgHJbihq64RM?}@LlguWVBFS)Ib7%FYEOnl
z818#A%YP}t;dS$z^)`K|pfe68HdUDQt_(N@eTB~E3CtF%k8<)7$<t|sfv05nULF=?
z<C3X~=5jjOX2+b3x5T-TQk03Rp%96%7ITGT1SylT&pBbR!3QcS<Cq?soOt+<Tf)7?
zj{dSQsp0NPr`8ghodf@Ye{NyASg&C?Jb!>qk$%>b`dC5SuV$6V?V>eA(F(fzCMD0s
zr5x2WaXs#*nG5pJQ^KKddi6AK-RpqK+C*XwGJyg;cy&?7i9Dq?YMp5P+?zcA9)q4|
zNa#tuh80`sz#7w}&Eh{2#~*xvz!U#;V2rPeCkK}{va=gw@ZUW+XwOKt;g9}qv}2L|
z7Jm%NrSs}l!1cAqI=7V+ZN<|4g=qaw!)AxAxBH#pRNaneymhIybNOF-iAso{b2&#o
zyqDren@fm4G%Kskzk$P5%>eCF!r=b9VtHmlQMs!1!86^99OU>;D#Q|7M6CdOYWUjp
zPYthh^j&G@M;*eXUE;sK@{VudFVSdsf1gdRivMWMnCX{PTo^A-4c6CFTrq1q?eke1
zzUF$8a7o(M?7`{!t4)kX%i6U6a(VNF+!9@5kt2`fy`rT3-ia;Vp%aLoAG*QYA$hi7
zOZs-<vFp5=+gwZ+Og|Hao=V3t_*R+CPJlKDJs)#kDW_#R?LJ5izGY{$Vx3NYjV@%S
zVk9OeWxouq6r}0FL@Gr4p6raHPQ9*#=)qe-Xe?t$tu0cj;q=c0f9R@ZGPF#fDlhaT
zxmGAW4DJ2<_tZl8kQ7C7Rtz~irbI%ZmeaQ7tNn*w`RIrULfg1%o0(P(rXmcAOKSco
z<9i$7O@Dc0A$WqM_l<Ci0?&NdIXeA9nf1-@{1jc&;S=Q{xH_3A{t7_oSQnahH&YNs
zagK$rJ!WTqOdK0F?(i}o2JWj_%1RkY9?iW2k<PyS`h#cgM094T*A0X}bk$e<U^sv7
zG-YO~L2h+=NyfMrD*C23%t(5Hrz(Say$FhsmjtTKCe22HbJ2&Bn5*msg&I|fR-8cv
z=bNv#?A^!)_xa^^ylNBB+)u{Uoj&Tp1;>S5<9y&$XWZ01dnbe#w~U2oQ$`{@0oS+t
z%;<@)`E2;+#gCtCKlz`*Z>2IY++av-A4Ex$M2Y}_%7ogc&b5_wdwPzu9Gsju`T6-^
z#4EksZJz&p0ggf^zEya)&t55OfA%$oVw930a9$lEz63WEERnK+3<-{QM|lNszxo(y
zbIPB3jiqlHRtv>cC0<&2kv%N%M>Jg1C%=;?)kfFS0L$rZeWKkf&|Hx5U9*4pMwUnT
zwTVrJlRB|=;cPfc8hr=W!LRiJE_Ypv#=!Ajq%-y>wEW@`l3Q0+NtdaTg!2Kxgi#;9
zyjZ<-!9%%6Cxjv=KDaL-QX0h{WfvQhLeJJEAA}>>?y-f;#3W+H;BlD7zfs+}{twTq
z+?ezV-3j_FJA(VV)s1CVYg?*2*i3X2(e98_D_Z_0vwzX=05E39;$VE9@nt1iZ?-C$
zv$OL|jTugHNr|l|zW4w<(TdZjx61$*4u?0yEsA=SI4S&REmt%Mvr%h(Mer29@~z6l
z(UZp>AzbTrIi61BH{>Nzg2x$k=f9!$+Wwu^PaQY>zqS(kWtmPi6ILkQBo`j=%IWn>
zy4trVD#6pEScvVbWA1w=K_FfXtuF)<(!=djKSqn6%=EyI_U^%z>+X4*VB8KsjWTJu
zK;u}hS9n5pRHcHUe%-y!P*6wd#?bLboj<~FN|Rd<OgJ@DR@)|`8My9jYoIcVhc$Y!
z+CB3jo#KwP;qz!$u!Cgc8br_w<F0105JSMg)1Ja5K{T*fby0U%_vTkcKt9g@+@hmz
z=sy%05*eJSV^E2Rh<-z}=cGi=v%f$7i;M3}LOTk1FBUgLWo_BHD@<`b?TFdAhA-B*
z0LAwprdfCB=x1*pB_AT!w@48C9YU!927rFR2i-_~8_u(wDD)kn<W3u&OvJ@7GVUS$
zkz?m^#@uR9l74#l+P48vYBx3VqGFJYEk=3$YDARaI3)_vXPW2<A&gGyxET(;g@J*!
z7kQs$a68T^Ao4CC{;Tk+JUew8UUi~h&)el9FMiOOkdp0j4em2^E&j@JA)K(t>C}!)
z9dr3A$%G3XHZ*U~66?$A-gwu0-*jjwAQZfq9}1AJq{reyKc+#i&f-=Eak387{x87>
z<nbK<hF@N#BEA}%QI)2Qth;In)DzF`<Mz6zb-~boD6xeIzw;*iU+zcCUZ=QTHca<-
zp<726G@1Qge9^kKIk+&*Vd$ZhO43vRvKO7^EdX!~t&RT$iG14=r_sp?zfnfbw~|K3
zkb$GBEV(_gWX-<8n9!rPlSl2ZNxDnE(|J&7bN5$oN+(jxdQ2iv#7)(8YfYgo!wx}9
zj?`7BhqNyI(O<hojFQBj-+uA5ix(IVSd()5)rw_idivUJ(oR*AjRGTd7&;Z}4IW&4
z=|!E?H?p#RuW#sd$;U2vg6A-mWBVED&avT0z27%a^;RUa!kq}<^iAXn*%fezeVIzX
zv(y_C{|gfQ1Am$^`E3|&#Zt}{BPu$$hfQ1gKi&fXolW!W-{@Tmkv|(ty386`eEHr5
zVLFt_zT9#~k{nf%dFpq}N@O$`^m~znv|NhC^C;j2E>=*Z5P<m3l!kPoX&1wJz8@WX
z@daZl8eB|jhTk`kA!oRJ3tmukOA;7|(_!>cXfT7Lh-kqus<>IXSHh#wTclcF8C+4`
z%0`_}co-o<{dZ-Z(<Q(!jGu%Kwfb6hfo2%dGj|6wH8kc`HPH_OBA>WCTZm-g=;}JL
z{p5Jf5<=o>m^&xl#20-qYpE!kY?OB_;!z;1mbM)9#g3g|k-w*D&ena1nrzPgKbIhH
zP(v^Pm1WcGW@KapJ80epEgmp=(lySa%H0(F4dhMqv_?^rhBDqC=rRj5Z{0<r--!6@
zd)ZSVR8RoTV`j7kDB{<}%sMden*#U<$6(?XbU}%50ulRO$YKudtzy+E+vzKYCGEZZ
zG17i6IGo`wVwpzAFJ?FCS{IzMNb^0^t}@<;C0O0~wY`kvqAas|T>>r;yfJ%}vS-wE
z6z0+2sYJSv(Lt6R@dmq|^rj!u5oqTTNwq=6T-5oxH?bYGZP=t<R%aP-!{7`0unIz{
zw~UH*7l;7Lg}XW#53VeJ2NlLs;52$x6{)b!bUg3h@#6Io9%YF)fsCcTjI~~zoZZ&v
z0jrwh(-)*7t70NAbedWJpM@g+K=zs;u|dw9?U$gn+Z^`xUO+rvo3Ow|`(N%TjG&NO
z2w;NJP+bgMd=Rphw)<5^mnDhXplM$sRCVJ~Lkop|S3WZ*$QB=-9d9YQyA^fEKoXWd
zxjl&sm&7L-3(tug+<i}Kcq`b3=XVe9*ojFtH)5g>mm;h?)p7XLd%>7x1d|usBnv6i
z`_OpI#!;MOYfm<@5%qPmzk;ZU)JSkyDo5A`e|}cP2g1_O({c(~u$D2zAr?!xh=a1V
zw{2OW?l9jHyG5+HxQ$UY`{$b=L*Fc*!AWEmNh1_j*O!)8zRYNS+pw0={wcOs;YOYB
z|79M_Mx*F|8Jm^pXd;QSR_FR4=+Kuhr3HVfXn<p_JV1}%L^-xnU<bIrT{qJ=xM`XF
zTN#1oWlwvCS{eW~iJ4AuJpGHyI)8Zs30z$6>ESS=V{qb6J-7<@r3(3p>Xs|{JhWUE
zkv@Ixm~?6Nv5_!$H}iT(B}Fh{!cbGDcbsJQTzYpeN@&{nccT|CgfV2KSYvZDWO=J}
za~@b?*S!ZM>1EkRx^!CzeyL`s^wzKaOu*{@9%1C$^x@^}7p#uBea|>tz*T8^nv`(W
zycmy0Dh;sm`pJ*bNK#)E$8oaS@pVYnTD6>m8UBK3o8ETj{{)qf3co9k{1+v0-?Z@h
znyd<^^8c}@0nmixC2YI>OE;Ixn}nR8@gDyHL?P*dBhD?GoVL&3!g`DGx568za)BNK
z0_&W{2-&6=t)u1Ym!3ybYsLu(BK@-KPv_KHg>k#Yxh5B7dLoijVpdOHAwFpIQ$};A
zUXJecTs~oEwm>W|z3VN$R)5Q?AgE(cIL%euNSS$8LC5ceIgV+IwB;KNND?pz?aMl)
z_c|1YLHG4S%$6<f_{VWta{to;*bh}|jerNNK_fP`=8Poh)cO#@+dPMGPDvOzFuEo`
zGPn{b<Vy32iN~r~hX3ZH2Bf_<TXjXXD_k>eRlPx-dF_L&7aC)navyuwn?#=^xS(ng
z_<v^d2OuP7pel?W?K7&pMfE=<#pj5Lr0b^mErK`=X@%_%`})cTse^kXT=u%7+kEes
zsaq(cv1f#>tAVtm32ZPzHU(WT{{l~uzKxI)ee!tUtqmMx9Z7y*jkbOYHBG11e|bUJ
zW+O8pJKl2nnC6h>%!uMH`XcEP*5B)rmK}D744GXCEVE&1txdJ#r;>JPM1n4z%AV;+
zJD7x}9)-3l^gFULq3*NvF3%ibix43vCbQ!8;%l)nE^Et<uC2>{##fX~);R{boSgdI
zPdXxPXSF~%Cz!Ze_@XS0NmTohU7b<p$3HF`Np2KO;4KybfBV0P;_w`Jc>5=FIdA{w
z8GiU~M#zdLv={0cul%NeD&4M+mapc*p3a!jL*_+;K8G9e@pi!?<PQEeo_uH!cGHct
zUYivA-Mv;LbP+ywY=_jx_ioHWl%v@Y#8B_w>XO1F=PrpNOoL<M!iHasdY^4CPY0bJ
z3(*H!b8zbLTfhIZ2Z@}i6XH0f_1SflCXNBQY|xv$l7sv--D5Va9@`;?bW82IP4!<5
z$`EUBZ_`;jeqwoJODvmr4D?ik@A2I-#B?ac`;kNN7$(tmNX7jxQ16MYr8w7uQx8eS
z*TYq@39_0YiLs?)U1c?}FY5dM_x=MBwbKI(a9%v9sjSofnx&Ks0nd<4jcM<6WkYwK
ztAP}L)XTTjGGQG%%^y!h4!bP6CHENiC?^8CXqCjs2gEKLO_Ep&dG@jBhtf~+hn{VH
z8$$%-FChHYVW)9Jg}LXw<Kd6=ik=wh+Y59p?l_JRxEi_XKwSAXLBXQd{ngNYSz4E$
z><pnJAOda41tqcI@8GHovkL{g_$hIeUFdhJ`x9pQykmiDqUjKd)jWRb8Qm~R@RNe!
z;Gg;E=@eDQCN_kJaNhvlz>Z)yio+sEKwv`uwzzJ0S<QKoW@~Dd*q>Yd=YXeJ5s0AE
zy94Gee={h9VRTJ(Il~STTT1h;H3vdp-xH7!aO{IodV9<2QMz>-cEaCXjD}GqT!BCd
zm?lVy)@I~%MacuNKbDNGVDiXrm2+F0G9|_slG#m^gtSQbalHr&5Z5+mw{vVMZQNdI
z29YZ0QZ#U-Cd%zBMBPNegKDaYpxJ4%Q5PWoiQpfa;<)<K9`?i|*WPx7iCr*_FF#!H
zwQfzve|_LOYC;4W6^`S|OAx0niCw7w6*U_pJvc>|g<Sx&1ypO;lS2f_TB+Uj-7eC!
zBmjLc*pKy+FSYyzC^P@{tKvH)@Kj-!*>*p_{Qans3_VQnxIIK(@hiv5n+q<Xn-F{d
z)2#G%d2xA)Unl&3WODpN=?n(bY%tnTQ)-oimNi+d@u%2%sxN7t67s$#XGs@O9O*k+
zUwYPC^!P!Jp1@+FVg^Wl5w&)zc07{rDzcnw%1FkiCw(H-;GDGlqCqq83tZ6$ONJYj
z$&$;*!RtecCP_gp=lpILzL+-UW(AGuN>)s5?jD4tvMXM;c)#MQ1QPKX{pH!fn|Mkb
zYAZ3_vxnU)UV`N+nLSNauCRXDwXNdi&Z=g?G4<A%wd(n^7q>Arzz^JUWB>mW#>NOg
zfP#oHUhwbX&(So+_la@V1TXm4Y3L)iDN{RD#5+QYZ)q*UPt{1zDndWimkC1Vj2SDt
z&}F$wEg3=Tt)Vzc*Q%?IYolbkUN9h0rqu05t<6kM51S|;Y2<H<6qOR&W5NEkL@kqo
ziPlmbkRwTGtNCHvreLEIE#EJ$9={%-y}}1pe`s>z>zd(h#gp$!+-`2|G5EH1h3RT+
zxXj$TSE6Emb(u}xVN&U=j>7ey#&?hKVsxv&HeHf+q6I{2M92h};A?UKHV!ivCgvsP
zhG-1K`?gj0DZ4TSHqfG))#07b`M((X&TG)hC2QjOcLwX>HZ(;Q6=QpQ08(mt<WV!5
zbXb?kG4F*uar?o70Y4jJDgpV5wQ?JqZ@P;s%Ygs>R+JhC(Z3+>&YN|N_)fYv$*&(f
zt3Nm`kN`3-9`ZCCj&jDzF^ZGR$N30{K03>3P_--3@wbe?ie2G3JdQfBpsB-z=R@D}
zh65cS?lKxsFiX97u}*-S-54O&%N|Kwj^nvv)LWVLI-MzJRuUsCihaF-Fxm{CERVom
zS#Cx|%*{(r_RUEMaX7Zvujjo}&&4RE-rBtte2qL3%1$Kn-u`h>6ImWT!2m;!ET<xU
z8y`;EBubiK=djz8`hy+OdsPv2?AT<Ey+N5VD(UuykK=HgH$lbYvifUIU})22d{Kw(
z{bS{*d*5W;_dg(vK1qwlHjvM5GM(1c%lc=DmJe<sHY0ZqPsXa9(FV>RZbg=F08Ekd
zWAC>r8#Vd>KICHe{DFl_`^W0Z2~T2TA}&TS?J`0gK>o$V#Qf;kNpQcE1U9{jy&8#o
zsBfw3)9@_$n|n|MKXS%ArnWJuZYGu{Bq7@B>Y(hA3Ws+z*%2sh1f!{O5m!x}@GLRw
zPP(uFF18&_^QCRVGF069OONZ$%kA`t^)i6DL1oR9Gs*46N7>b6PaC7wTLG{(ThMXz
z3ePB1*3ZAEg<21@sJ%hfhmzXNWfA#3^*0-Nz%PRGhUqKNjvuE$LBzZ0hwU0<?ydc3
zUvXOc>-3gi95>gQR9txtm`p@+xO7Vy&aa;t+ts6P$yldftd?!itORCe8Ox08Q5K8Y
z;4cI(UNxj8)zy70C?Q?+c}w$O00n}pfi*fnpse?*bNQQ)&(I<>q-x5K?e@I@mwGyz
zV9@9u^sdYhitQh*4hPnlfAT9uv`>t?2lQH2#?c3UN(ULqDQavRt~@T_d8aBHZ|~Vo
zG5t9Qke%*1Pk{(+y_UscH>N{y8kVkNUk=>)go#ZjxDbua0Zz@bKkB0Z=FiTUB9~7n
ziOOVos&pNKCdb$rt~uy?!cx!HM06xFYKsd^9a=Dy--7X$a${cFG@Pm7*2`-TiV;pk
zcdwtV_5F|nH>Sye5_%ns&~<r}xa;^r+~2*49LCAb{zL}%cX$&@vEqDP$|A`jm~*<1
za{ZsH{Vi5zsrY;!JVk0(UaZjq)qyRzofj_l_EFU6)NAg89pp~CcJL1eE0>3|uJY`1
z%t(28Pi55xX7%0$odn<ph&9MPKR2ioy?<vRczlT^=zwh@SOt?g+?}@>YylA~WE*pS
zA=7Ft=#4RBxn<5Vr(AV6w@OJQs3L4PaA?W8kU1K3iZ?38ev80_(KbRv2Q%X+>9%sF
z*gBN&kz#fsjOTsl#-xMYVo=Z~32v9Qcf&~82ECHdNZC6Gm5ov%Rhu1gW~|Z;5g!uN
z)hBsW&Ale3@hD%>N@I;vrjsb|Z8DNla2YeYI;p+e(-$~98;0qW_bQD%_WsbrSG8pW
z5(5O%scV%Bk%WiqrHhgQ;?J;O?1KeHw1r66-vZW9U1)UvZH+%HO~4v2?ANEVT?i;#
z_i8u(`Db+WnWtzPs#s#RWshz5mO^lf#J;j~thcddFmqz9&R>;9-oLgzQi7b#F)|*#
zL0gz|x$3L}IT1Hfx#g#>fpS$yNRp09jv=_ipTf2ZP{QHjyBVRt3(}AOA^w_@FzJJJ
zr!{-ml}m<7zD!Kx>z^$QrN&jE;j1>jc=f92>CT?8OtL{~qKik+du<*6`&Q+Ksw}`Y
zuMV(k%?hwih#6rzRB9!*CM+nkuwkmNYwkC!I5cwCLxS=pgJ8Yugctt11PF>_zE@|R
zhhxH%(B>l-D^?5mLAaSJQK_I$|4_a8lezr=OE-bHW#xiEwFSC7Dm(o*FZE}aHPAN2
zYxixWsyRcvgKteAjg%qO0&&yLlfG5aph4Mz$+`<R&cW(Gtkj9tc1z$gYhO4JoNYw$
zrB&>#PnR@?k(&UzzS)cKGwAs?@a$6|=Ci7bnNZzeF==Ak%-+Obs&os(p@7<rl!p%@
z^uTc-&q(%(3*ES5%HST*n>a8#X|cc<+_!scW$e(h((LI7Om;BfwS5N1yv3KZI~ur3
z9CWbg)6afL(@dks30NF4S-l1H4}N#~%cc`8ANDxB9~Ys7kH~?AY7^4-|9{i7saPN!
zTgqwd{>{n!vE`miruy|q<(8c{jy?19^~lm+%e7x1&y+-M3x_w%>`p13QaISvjRX2D
z1YA{xvwm-o_digw)~*gGg4h~gUMek%+#6r8g-9nI9h(p)rR;HZZLev3xxMs}AYCrT
zCW|qq=d0M+l6Njiw2BNBNTL{7v-s2)G7gtI1HYH7Lo4+@q#I9oX|%#(Lgji|GqC50
zeK56U;20rTiK}VbHZtZh7onRU8VR9PVyDlH%;r)>tmu(hec%Z;5~dFq=BgeG)OWsp
z#Ggq8dGiZo!CO~LYPj}ozG`iv<$S6m>NpcnaQi<J^u=$2`Q7X`>%Yq`g+8ERdyJSE
zwn{I&b6mi=-@~NQZ0Bf>c&NYg{KHI)H4%LGRme<^#Al!~ON)JUuK(lI=M7_9I8|-D
z-S^<iC|FO1Gk1Ev>@B>P$75T~E4-dS;h0e9s<CV=B1A-R?pczg8%6urs7AOXmghw)
zqS=)TxbB7;;O&`<+6Mzuz_5HCSx%{sq^&4G+k%RbU#G$!u{ue+oTLk~OJU7eKyU*U
z-H=IcEJsnEGyCBl{&7I^r_^3IFdZOR(Cte1M6kb4>*pg6f2WF9{KEU*rE$-uNAlr+
zVgYRu@*9Q`Mx`=^zg-srYy>$<hL^|feJr;Z6_kBHZb2h1II9{Y!c`6Bl;@_ww??-5
zf+szn5h|#DV|fG+s_LMhyG+cU5^_DShprt8DBE+0_n5EITzp+cB@F0KjJ^CAa4Z~%
z`3c5;j}0i4G|~m?O6fHg@p=B#-@}Ky_Yi{}9fej)twL&wQBouckE2Ho#UBKW1U`F2
z@H98BzwRA*@C@(mUlBc`nt9@twkyC3h;dvspQ3)jnBF*JEk~P5R+BTEIBRk3Tt73i
zQw};rVe3m8<MyP^ihjU7Up3pdz6D25wMWmjO4GBo?CZr5ss!0Zu`N~F+E_RKt2X_e
zC7w&IIr9?E;r<PZnlZ?TwTb3s9Nd#l+4fk`D!i$Um{O~>zos;v>rDf#N<Vx}R>WBy
z7cKwkSocM*%8HqYolgW0-+zgCiM2;AtJ2<kx#1ndAxrt}@T+6Sy-%NR6}2AqvmlwX
zA0>m!lN#qj*Xt%6E&I?6T_+J{?yl_KG|-Da^ZQ{=5^Rk6D(-cd?lrIhWJwWYB-KT%
zeqc~<8p+?vQysH~e^r{$E#iaR>Wk4mcA(%$)=us*vO-AFLj6p<WtVek4b+=4&8_?9
ztc#()5x8u$KK&&(Oy1xA{Of;SEcEwX@8O+f|5s_1;A-L#pCF1+&Z!4#pV7CEJqx?w
za0RWLe#)-x1OPksY_R^nID;mzT?MTs>{+0q6-geAt;E1E^J|=L>H-)>N3xD|&=dhx
z4R^Xx?Q#AUaxRSbh<mM3?8h8~18B5~S{#^OS8gSNs8Wnxwop75lB-z5l*Mu;GlURC
zbc^ynmN6s}jlwj*A)z>iOdH2XT=#}_SLc|sSOLQZcEwR;V=ouNPlD$rUZhw8eF=lS
zjgVuG5aRaWS)lI`agoz`@lbP-Icl%-p?T}Izz_vtD=L}<;u)dTt32ju>CfNE9X;RM
z^e(i4jp%>%^xaW_T{^7xeCF=#1YPKV9Vjm})d=&7mSw7!Y`n{9opJiagwXA&{pich
z+{JJ=oq~C6tSn+FOREgad-cu1xUE}dx{{NkhRlX{zKvx|Oyfi!B+&j_N-&d+EXlBx
zO~BbhjQB^^{1E)fM1R<-+wq5z2o2V1_YV=9n9)_^P^yQ`vlo2o?(HpfMRdqPez<M{
z$lvOqa3f+^2_J!;r9HibQDy)8K1~Mf9*<au)_m@2{C;uOHopD!A1?dU*XKx7uW#ED
zEe_FL>?6|Vwz;+LlSTNsV5(Lp-w|f{(BU8QY#w-}h|NA?E7RNm>gb-Z$0ENXv%Jv{
z8Q0eKb0K;DGg6Q7v!kX?v;J|aJJoB_P`IJwH`32l8{Aws*dYN)+^r57iAgJY%`)Wr
zeWzs=s|Jhq)g_g_teVYS%@btn#2s9D?sT-j|2v>1y~2$aCVNYI^h5RUM>Ax|U%~W3
zgMn`1vkJg-!gM1HTtp)==_d<MTkz~)T7`tazt|~2FqYqeeK%S_b_|-8-~07JGglVa
zbl~I45_yWrUCkUumo{YR#_xX@KUSVr%Jk$rMAe#=A$We%MtpV>rV8w3C=PHQeJcNM
z`tknJC@iHh;EYs?NCg`tDB`EXB8Au2^FwPvDdx!u>k@Wu9KEfU1t&IM-HcB_+@w|%
z`2w+c^c!)U;cU7L<!(jj{#P);evKiANYwH9JfYz&<CM{h1)au7^<@sxCS4}RUS4t*
z10Q#X{Qr&{7jgdObICR9E;gorYbYJSoiGou{PnjNFOMBtQjfIwqD_PXT{*D3ts7Rq
zONdr#vu}t<{%iqkW-9+lbIHnHs}qM~xc1wCQMYtV1+Z_LIlZqb7$U3Nn^o^|lr%^g
zJ^f5Jh%c51g|Q*mqnNOvs6OE~78I!D556<p7maoj)>3mTW}XlVU6{k?i4*+Te9RgS
zu?clKQku!Udd8+Z+G#*n@qTeKP)1XTeyecJ4J`k%0%15)cg*R*b1pHu%M53Gim)N6
zoHiw5jN}oSj_xfvjmn+bUXh1?PPnf$Z2hTx_%s%#JLUZF6AKx}ckCJ5iMN*WLd^e;
z-XIhY7v>hK)QF|=_dW1|Ae@){5Xzzu7hZ@+_|CP|E)rD4+EeH%T-j3eco7>xw0SqQ
zfkWnx6*DOjh)7x@TEic_V{jgdd!o|17?x77)<whFGBNXyzAGY62iiM9*dbbny{y9=
zBHEUr!R=VDrRs7slZG97dS@rTVFtoL9|m*iMBNjD)=(w_P6rsPWtXl)LL_n^=mS%k
z#(qr@gbyDgTXEm&B;%M$bb$nJhy*=_4Re?cv(%&BaAa3h^l8|A7zw%>L-Y~9woFgE
zC(LLUg^bx@$xx`|e$n&PK-~I;!M>b!Se>H(v+(zYfBySfD@}jD?mV><m482aLynL&
z`I)IwSey^4zepM=jR!|EuDM*>Bo&DtD1W-bo=wA{LGDc!1AKis)Gzj~6pXY(`Tkp%
z;y7Hru@sCv&~n-R3TwBB5<K<#((ai*#SeYT(aqHy*)^8xtby2%bK8}EF`Pp=z9lj*
zInjGJo0U&MJ}8@sVn3MubuG>iwN!PaT-=`wrs>nG{K8I2aIenV&MRDh#Mo#Vw5lC&
zJjvLJuBJ7%VQ&7`ije3l4#%Q@+ZiiKb>=7Y)s!P-qn})wY$IxS^Fv7k0On!%oM&pi
zWc%#!MM5sQ^9UGHX7fFr?SIxo+9mmg^}4DJ{96`+<{wJ1Lh*|n$K6L@+Q`=t`(;E)
zvM&0n{(y^-tz`xWeo|5C$&vq%9`NdaiG9@H>tIkO9dLMx{iHS)1zseL3Q+XZv(49H
zw(;nyE;FFG&?vvqQYJ|1rOLA|Dk;!ul}9$Fw!7}UfQMy$=S01V?~m7n_S*9=f8nb$
zR6IOsI$~g#kkz?H#fRd2M1hx7Qh6jywFvAnxs6@0K?G#udtXW+-qf;)YGn+{>OcN?
zNug9mp9rPPQ0nF}g`ZuM+OX@v;a4gv<E@bKv&YH}ZT|OjJ$$3&!%y$}bA*O#%FB{w
z*^+uqWSRbYz2|6ea1rpJtmZtX%>Qo0Ir2=Jo4z*ElF(Ri$HN*%B5?pjK`tm{E7AT_
zF8Y&_CcDYDb6ptkpUY1z@0ULjaEYpWyMLsqYAv{GKpRRP&Jz9FZwHluu%e>ZkXCBu
zrBQWSxgq(}KHK`H!)prhGlu;3ICiE&QY&RmA)KD=vOt$@=RBrzdQq=TP(;nZ*T~mD
zj>&!)t7*QwF|>0xEMJzo?;F0Z%KsH3Z`bc=$wO$fg=oTLpL5lJ?bZJZ58ns-5(J<r
zkSjn5bkk9hMAO6^w4~a7!9O|24-Q|doclOkdY~y6MXCN>IP~Z8i(n&y@Wrur9F+h1
zduB^SUF`2}MZP2>IHLw0rc_W_ETr6;?GMF0UB4dB$eO_ZtU+YvM+Cnj@-`9fiXkD-
zko~A{%g<OX+z{I-&l2$_?3*O81d?H#D`j{!0nB8v_a4Fy7X8x5T-o?7<QLW5)3b%`
zlR%op`nJmYbNW^6ZNv}ncLaDQdzx+SJ#ImY_tKg-`a$)hMbpy~#m;nfPT$`|gKeA|
zb||Z_*zmQ&)4~3&U(_QEynvO_e2KXc4CKqt@f{&=E`*f(^rd(RWa@I28!GMIEnFw1
z2g`0uQ0=-Z*6;ld<OslHQp5ay+7^neRXNNE;G;bb43o|+EXl>O7nm2w)KWgLMgQUO
z44@d_NwoB@`;Tj;ihFy_rL&yh{&aem<*PKg;v~fCoV>x$fv;8io`5p`gILNSC{>nD
z8FVZ!QY3?SXjv92!FsExEp;S1^61$(zCM!M;PfK`DRza~XUIG$kzx<T5hxr<3cj2(
z&vKJs;5fOvQyTq;tg|g~VRu|tk5ady!QdqF^k$}GCHWlz8f9Zp3Vg!=u_GniAa;+L
z?QAyCJF4tV0fUjMdarm&!S{1x0Y#fB4t6tyV$UYo>zwd~l_W=X<X-pI0Mj56B;|zw
zB+x5e%rj+}>t@%ma_*3-BPwuX^uFkge8;a-{*@a-Vz(%hxYh5s9<eRCQJkOPlXC5o
zc#1)sbm^H=3C@B%vuwlrxFaLC)a#b6GgqYiBag#D4R}RsDeM&~_hOM>vY+_g;{?Av
zx$2+<TVh@h9NvjMcr7N4K4?E`>`ja8Uk`&D*|jXLcs_qB9Pyk1A3-0f{;EADj^;>d
z6BU1_wnopE=iT2M=%$FcGnLW?^>s19QJ<oR@bU%M4Z7<T9<L6Ybr*j2ZXR53u&Jdv
z?R9AU?W|YO@wwtwcA19I#p`CDqaRQ*kYBi!HA<<$HPi_j$rO#u#X{=bh<ATdqKC_!
zUGnqAY1pHR?!8wocG2+g4iKGR`+R15h#@L?ZIQkIOlrIvL9<zfPFOJLYd0FZ42+uW
zk*w_SD<ffrQyWq_HUW*ef~wrwxb~<18ocwJI9cq^<uFC<RO9U`9v(5WQT92x5fU(9
z#UK}a9F%!FyU4Sa!kkEdYJU3b)70A-4~-$|0O9lU2KXsx81wg4{NsL9G63(Z;*F7q
z^w;;O+8}G{am9{}X>Ik_=>E`>gZ0eT;r21Z7QY|6fAi4w2xxJjNIC<ew10+_UxjJ$
zUP-kfr>Kz$?=jqp@BvaCjq|}Q(~5a1zt`pA@JL990slcp-r_<dLvIh;t`}IC`-;A_
zB{3=9t)k&`s(P~QZ5@>x%Fm*-_<;k_>N#1u7GR0V<)c>(ON=z@U~|+Zzx{!<$~__E
zKxmG~DWOv?=E%j|D>enw!SODg1$EA7zRYgkGtID(m6E5aS`x&AxA=U<sKXg38k_fi
zoS*NX@JHK-EMGIZ740kS6^UskYg&Ztv-O7Lym_yF{U>P#&e6aUNIYBlb@Jc-HA|rZ
zA{)BZtr6K>eD8s;$FBSB$<Pp~zFtoYQlR-0H`V#&B7zm|vxx*;7PnXvbHH+5O#W+@
zapkTPcsAk8KK^@5PL}A!M-Lx2kk#XkVDkx#@!i4<q^H=DiPWfa%%A;!wB+BGyMA-e
zw~O<wXv)WNiJ<zNsw|oVk*Oyrf(<c{a?(4mD-;jWkM=b0aut1E9=%`XNH3_&$qBzw
z8pwMHCoFUnh(o(2|20Jk*D=SKP8?aCxZNUr;e)X0g#-%08W~OZAKre>k|rsT<Ugtx
zRbDJ+@!7mOtK02I{NIxXE<ooLK9F@;UdiwNJN#^9O$~z=c?oRb``cczNY2ugZVioN
zc*avotCF6BO`+-xyKTIFqVVS-z>c}+!FVf{<oYwfrrqf8&zN%(y(|V}*VbN9DhyIi
z8GrctkqR#Cj>ITE^!g<q$=u-djM6!hz-xE?!|gQjz*!7ON6yGh3zO*!x)wf!Kq-ln
zsp$bWPFmkP%vb%B18`Yp+wFky&7iKI1?!ON<j$x0Z6^98C>?7;W&}{U(l+{@RHs(S
z4T&H`XuHKvDhPi!8G9I52=;91HEXl#!q0gm94UI?Qkx$RT8;cP!*xFfm}fsEM*rE~
z_PbP){2hBhkY|ej>aIrw2J_H97QyRO%kk|CS}JhN+OBcox%<&1(qiF7QoV2f*PK5I
z8s6Btq+ozl2BF%mQ7!?~4wa^|$<fVEw0j@6po;f7XyuGtlq&1K)OtM>-(6b2Z+4B&
zEi^Y&Swx_0Rfh|+<GV$1;QQ!`B@c!p5*nr#gw1{X-T>3a0Ku^6+|QAccbc>Jy<t|&
zKFE$#cMg)`?cZd)ZKWY(#p4Fu2RnD$M;D;PC+pX1C|+V$!fYctof&ofr3{;}!Td@}
z-A_Sf<fUM2fjFvBfi^T8#=f}!w>bC>@$W3dQp}X^?_pO)A%EMi|8CXYH3GhE?LazA
z?|}NRJ`ES+UAL3T<-k83Zp@bTo9W~DQuN1D#7O#CGeB~ZC+*bL__*g)YM-%_+PJLZ
zOA+Y5i(Y@iF0K^YU=5Z*ACH~U$X8qA#cmT*QVG}CiT#PxMH+?TKff7Jw~i}?)nd5+
zEcooq+T^nhEw4L4(-;bE9C&myNUz_(b$4)IF@B|-GTcL@I@OBde$HvxNTDq%Cmac)
z<4K-d(!fR78X|nw*ya>v#Z=9OPa@9P?f44R3RV$*mBK*25Wf-~yC(OyjQZ{3zGMO3
zZ9_bi2l4NV?e+y(k>Syyby@$=jmxTKbsA|4FLZe^wbQqwHQd|!9E2;raRr+M+~d(U
zvgWoaX1G8Sk+qHdgxs!%EbV>&xbtm@3%krjV<YJ_ebj2@%Cef|vA(Ojeen|du*sM%
zsiyr~{bErMmCO;Cm8ju4vcaNv`W_P))_RMF52i=&lZfB8L2Ei^%##`EdGj4j;ZV-}
zMlS${yx!eeG-`T;k}Yqy)qrZ(>msk>AV@_H*NCHeg<M6pzAMN@MlK1;VDO(&n%t94
z$PLlMBulrtf9mm+Jf$sSHlW*z&AVc=;8Z@g2IHS|XZA)U;>5R=Ih%4x&pp$ZpOE-%
zgid9!f#0$z(-2h1>HAwlD>}3ox)@Gdl}}B5720aa%!mqq67f$9XxnQxux`uG=ScCD
z(H)e=$CnBxteN17H60GrC^lv>ur@{_x?}C3yS$$neYPgi+#4UGDvlH4J_FDV`u<T#
zGYU!+Zc#SQN4ZOwLLV%JhN)r=4a-C&`#d9{YxQjp$JIsy{)DxnMqmjMr)#U!6h5b+
zg*PF|rda=MN{lR9JDMVeEVB!Y)+z}8i7r;J!2AUHok+{r!7j(uu{`SkRS^C+1ch!e
z&Aa%W`ySucGI`3SFODL5I2-1Fk9<ZMu}+LcdEcg|`yDBL&CuoLH8Ze&xOh>S4;YoZ
zC<mu20I`f6)cLX^rIhI!*!8@%Pkna7uP8GKQ5f%~G^E7NKN@^P`t%hv$(U>}+ry{2
z#QYPpu_er)Rcdj*`#mOp!_zS=%jHupO)9SMhte+gfEFbQOe<B&Ck*+`s}aX>=Va}h
zuBAS(D-o87wwfMeg$(kv5Jgwads|cy0h%33B@^*uHeyg55XI=?b$Z-Sw~`|iRbzXQ
ze@#;dMu4J9s5T6n)bt!dZA6Iw-raL#7G;L_tBII0ym_yl-WfK`8`iz+kczu7;~~4t
zj(%F+c|Lr0T6}}vsUr@Pr6rHrakdhmU?Yw=m~`&AhVOrA{#R^LBb-|r#pw1Zc(!oW
zR7Y2UiMdp!2yBMK1NWosCMNdBzHo+@pL|x3W&o~^F|Mk87cqW#R#DYDmni-ZxrM`+
zwZnm)%cLSMby>>HOte+opW`yra9=6t{(Wgr;35O_WDFa|bXQc!8_$^Wd~2aIJ(c0Q
z{pPly{ehBZ6?=yj(I1>0fjURvSAp?A4t|+&d00NJT8#MwR9zwwIK(+IS7K7On|j*w
z->zufQeQqeQDE#;!wsZ-hw<bcTpz9e5aJl|hK@4%M2LTVAX(5-G89mJ3CO-48ZWPH
zrTUge47Do7yjmhXXaFVp8pP!Nd+y(L_g@>r1TvJ@H;2<m$;n?rD1Ynw0W!y)Nnp%g
zVA@McMFk%iKr^bE(dCAu4ey*^Utf2|6c@ATqN$@+R8*{ApYH<lnLRr@EVEG?s~0!p
zQ&XR_a?8t=-zMb$weTJnA~|Ep{Gv{v_YW1yqgOvj8TnHg^w(m_pJY$%cGAh)^y`}@
zHj7mDd{zo!1&mCOyRu8_`NXj*P0_7<$={*{-FIrOdt(E+{axfLu&H?cl)E(p$gV8W
z7eD9B+e-K*V6&I={3_>HqeT~O)SSEM`t;23r_Ym=loxsZk3Uj(gnZp&Kq2y#=VwNz
zc0YeN_X~ld|HytrH5^5+L@t-ZvNA2h?ej4oc{)2}@#J&n!olW=6jnLb%G3l=Ud>ZQ
zWSOy_%Te$3QJage&+^<hxb%MJ{(Uqc1yufIBxywKqeZC<jsuoCcbjE-ht!yj8kw4+
z01KQhh@hOh%|R6%_vFWJl*$FKNy4AKOvaQ!tvMP(<RT#se8!UkU%goN)z`149o|}(
z-2fymD?9g2uReXarIY_}eW)a&0DgE2Mal76xwK9`(B9&U_H7af=%K=%k->xC@>>7d
z4D2rt>eTo7J~Mp1&cIkIJpNJo&J7JLf8=7%?|*Fm7>U)gGYmoegZ=vQ!O7Zpb-`Bk
z6N`dCr40|=yc?vz@5+crdUvqpJ2w33cLtT3F!FX;b;251Jz)vsue4dpoeN`She%p)
zw?Q@3S~|*y=)r`p{3c9YF@f064|l|nnV}hrR!s9yZpBa;?#fHyYa%87Oxt_jbPMkc
z(8r57!8)YWS?NT2a;0bXaTN-zKk;de|F!!t=v28u+?Z{YWM8`v>nx``@jBSZYc4Hw
zwnNss19&33teAdtSaqK-wYXO31+z12-kRD&aM2b-6Ju5jjcu}mw*Ud?bwHGRI%f6M
z`(%*GBgo#-k@ubU)1qKBIDEiV_fMZG7tQG#%F)#7VzNGX9@=CY&OEaE>kNN0fR692
z`#@%4x}-l9zcY^};5VuLJ2zS1u}Yyom=>V6QM1~7locUYUfpdX{TzTU??)UQSML8z
zNTp&l99$rE!MZ7+X|-A1)Yd(Pf17kb79P>{q6_4yKNm(iLg#+hK&aLl>BXWfK)5x~
z<3>`tD0ANH@;Oz2e7hlr)24)P`ayHf`j^v6U3o_@rnRks)ww`>$`z@;O8;Pu8!m}i
zN3Y!x@lHnBc7<qUu2R9cZe4>c?Iszg;N$#fyc4W{-8?R$O2Bh?STE%U1=eF{Of=$P
zfd5_9+FB|@#Hvb(T`Cgz3^9578RF$iSKx9upZa-35*xmXqT<R(hVYR`TQd>-{_f_m
z-u3?0osENI=Os_X5D1@SGS2z;&v%Z{bvCp*oABGWHV^^LIMR1|5`dGhQ2e@DGQWN~
z*k$vkiL#j#)X*oq<xEFUgeVMs<cl*UyH+u8(QPBIBS<CJW68am#hkK8KC7Ib1*MfB
zCfv8d^cbkQgh<g`#9;?7>fCEc<xXN+POF6z)^~rKQ2`y(Rx1z;C@xETSUhSPLxlFB
z>#}VIxk#gW+iyRK&o<C;lX5h%>r{()WTCcS8YtnI`+YL1YK3<AhPhAUaHVe|DLF>j
zh`lPHX^d}2C+eCzcEyHCm&l~_U$XxMnMIo6{mhe4B(?==F)vb^1_~r3BoC*m6Ebyz
zZX@o9UN*LxGGrMX$8X%WTc{CVZw>IY(1+OYYqq}vLw7*eR6-&!lQL$v%JvwL#&&`M
zd&cl@e!;d#iJVJ?D*pBO49sv>WLKvwXnYg{?6?v;Q&?T?OueYZE^wbX^X-7R+vMWQ
zm@9eTt4Tiv484wTml|c)RA%n1WthKflrFjU5LNE|0zYbNumr*z$25<~d;i@7!*~2A
zeEglffYQ09iNM6xkwZeHQYJa+MH`y+GA0AA3dsISf}z5kZ^_UE9QqLl6-M3mD6Ru9
zQCH^EdDdghzUv!A3C<d{^#F8~*>hNaZ&&j=MAa3m1ZsL~cun9XaLiH8HVl&$@xKTu
zIGSI5pt`Zp@B29=Xjl4^@pAvW2U^qk^N!nv<fD^}tNyzP*!q9jh=?vC5j}p*^M&zo
z`y?<^uCXvWvBjZ=CTX-JsCmCPN#CbPTdFd-^fuVj!^3F^oyh&`zFnG?WtTc3b<CCx
zA-4>+hK9y2>}$5FEJ?<ptMV)unL6}Q$77l^51(|Gjo&Y4CL02yh2~R>gRAx@K{@ER
zi=DW8tR;;iKf4ERF@$!C4Y+;hF@C;iQ}w;DxccN#{pamhwLsR~+vrB<PA@&^U>v_R
z8|Ki_mRp&;VqVIKGJ*p6T;3?;bvEIz8~!sCD~RTPC-pl{-m+RQ&HHKD!JSC;yQZdg
z%=#WeFQZyo{|i~l_Anhj*%&UKdO8ycR<2|@$wN^+-0-)ore{ru<%J5TRsw|h_)|jU
za>zbpRPCb4I1h|KrO>?*Twxz4d0OH~f~U}DZ+VQde<)@4iNv!Qr~AE2;rL|i;p#VG
zi}Ckbz)R%k=e0SH5XUA#h{!1aC(u|Vz>#F`sy~&mF$&adMQ}v)>V(pVB_$@F6&n0{
zTK}%Bu%co*iw0u%JcdtT0#%gw<J($p%t0L$qNPy~Kc|-D=Be%5r^IF7uhlaY=Gd_j
zEi&DUrWA6`CL;D}X&u|C;v2RpoqTsEN@wQPfpzg1`kL5=hWwEc^poag$Hpp-*o>Ar
zc}mM_-<I23iQAFh1RtoMmM0PkDUwYgp}m=CZDE(*V?;=%8U5HM87CuA))P>pU|;&#
z;c{P*up<KvQ0Df37)uGBd|7X2qSeKdEmbs(v+|}o?Pq3Sf{mjt6BePC)hGL8o$mu2
zD%*(!vnwJeP(YelF5WAG-TKBUd&ax~*qs<vPtvZ))-nBpuD)?<7R_g`Of*3Kf#Z@2
z;f?T4C22+%o0eL-{w>iJ(Z$M}Q|++)-0lC5uCEG+virVPKxvSnyM|J_8>PFE?nb(#
zJ7g#k=?0N*>28oNhmN5cx|{!~ufOl=yP6A_2hMr++57BRYXLiFEu1>cFUHe#WoVZh
zkq<paha8sWE?KH<`TO`ohkfVd!HI6_kC*jmWt{gyNa|72dV=q1CWZH7<&b-A@nPZ`
z6;hNgW+&t0uk4pwics4YF;IJ%lc43&!=kKG^k+`R$DZob?7CWoXC)6xCXF}f>&B+u
zfbDp0+3;s$wW$uZj2X)^N_D9LsV=pPduK9tN-+Vc93nTE?H9vjvi4cM(_JXb?fg+M
zWevbHZwFP{!=;Ch1d4GgO6;mjZQ=IZdh!?zD)v=|c5t3^ZQB&pCEZOra6zKoF%7Jp
zpnkpN@}Vb(;z+@fY{P0_Pgr(qVk4&4;Aglw)c`GZ=*^&NVxDL*Tt%JjLYsi~S=|Bo
zCCStI{;#u#YGyDour}XBswkFj=}YWinU=;YPwet`U+;S4RT>$IiX?wp$YkmBT(~9q
z^Z2rjhk={?0~h2pk4MgroUDH-3ip=q@|-a+kNHQ_Y9eBAr*}jolIJWfh}qfNo2%vF
z-m5>1oT-*+9y^*_5hG0NIT)a1XUM#5#c<!+`M6c+IeOE1yE63}mjS?`OjC>(tl@9Q
zxN~`N(YbxL3t^$FFpV{i!P!DugVB33GBWN2Il=ftnE@iU)u6G0mZ-?FJK!&Ef>o=n
z+FCAO+ce+AtRB8^(Ua626#|(bVtlr%o0^LK-<@!>5aml1IeYh<jkSMTz1cEkIKG!-
zV1cuU$GS0t8>@TCDx?`)l)$BzrrURugPgu+FY1y&T;#eH$P;i+w8}zu^AM4APo!)p
zn~0CRdyw~P^+wZB_^dWyJF9-syCZL$vE9_8{6^D3kN5LC-(|-3xJ4-2%IPt$JSX>?
zq7DrleOsO>mS_45A-;U25@*SJLy%EbGzT@D-45rVFAFIrwgG+#Yiv31Oe-LQ0K!`h
z3a-Tbx@0v5xd=gnR)5;2gK90~X_5i;kCaQ2cy19Sr=tR_z;0GXrEX4tM9;e1>@mMS
z^_L7~M0_I=7ak}?t(ayU)=Qy*{d&w2`W3@w^~PKujtNPvz_(S0D8@65F!}-BC{|-(
z&d}X)(h$`Wt!Tsv-C9hII(~KS56Wd+U!p?^i}U~~dSM1)+CrkuKP(?7EI(~)`aW*E
z-P}LzFb<taXS(=}ZFjZ1CXPLA@<zrkTW0!SER$ozGhyvM+vC68Df=0>36s&x+)h2Z
z%d#+1mH_pjC6U8y`ivXTnQwwbL|vu-{PHp=er&1DSGPWAmDq*Z2Mu*V(AsC>{ema?
zN<#^1V|B*rfl{^O)3qQY;0!$v5aHR}WL0<p*?hR|xM;*kf?PnFiWO?@T+(dXZKP%v
z7Bh<rE>|jqkJJuI+%ybHD=temx4eoUxAOO5bxt2gpuPRJhbvpRy>5{U49ky|rrcmP
zx5)Yuwqo-WVa4>qpIdFkkH=pk`P)2-Vm3D)_KF^g%OKk=<@2u%G#5Oy^|<SEE^!^&
z4auh;A?7DH)BG%vP@F4Mm*zc!+Ken0m44Wnbt-Hsj+rkfmwpnodfGaG{q@bQ%V|Hi
z7O(Qed&)R+z3Hmr!!6-cca3l;K3Hum@~XtHMSbB2+}C}1Qk8}ZX0eyL5SvjuDBAA5
zn-Q*65Ylw>EV?{tny;wC6=`4LC+`l0mOO+qUDXx&rX}_E7oDAO+e-;;w}%Oe6aW>7
zJh4A&@;Mgf6Tz#=H3&6FL9tz~A@dY=B@zi!FTWt~5E;G#T(f9h$kg^9xFEj_4#mB_
z(%oL@NqvKRb$9rV_|4wzh}?2nU6JXuORdkWd%2pPIytDm$gNh1iN`^6Y~~BJNYy73
zvK|R_T!MJ*X&DHY8aR3HB|~mO!8*>QwQaC}7q`CKO`SnFNry!^skmS6F}?Fr>-Y9K
zEM6BhVD>KX)EnwKoV7t<LLEv6n*DZu<#lJOxHF><nP<YxR|57f4-ofhr((sElimy1
zX5aSus@-{dw)6Me6<t8QeDs{Wd)?Ht8b*Ub{O@avGV#H&l6kBBA8}`1g5L;VZCyaz
zL9q<Nhwu6eZ_}<y4tnhz47N?V@nZ<=X^F$|ea{I6OgmY2Ij(roVeH*FZCW`jvb+5_
zBBzAMUbW8);9g$u9MYt*h!dU3g{MvH=F{y}lr%W_w2h2ukRO7{m-|f_gui>}lQw%6
z?ZJi$<|h`u`5(q)+5wBbjjBD2ZI%(&Zy6b};aL^*#q6!|sv?glarH!-pg?7?!bDwM
z*IS<7ZPn@S<^wy6_C}Us^4<$|(!(?zO}XX1&@B9<yV|_HqB;%Y+f&`v7Vwvu!W=QE
z*g$&>ttFkWwNcmVt$CDWxhb<?Xq6iz!0p`AFQ{9CC40pihb)p@`!;qma_W8@zfwK;
z`NpmsJhRPZ<elE4VQs6&LMz#luG+;pcccO0tp_Oc>=AZ?gjsm-H7b(hiq#g$HIxq2
zhVFbHH6K*mJZ`erH8MuFRUcIDW=`K76yCy)nG$KiWeF?@?VX(=&aC+sXWG<zG<rU5
zZTplKkKKXB^5&VA%j<B#>koR<!UijgTU)-xeog{<QbL*+GcM&7KOZiO?20iWCGJ;q
zZ*voiV{CLuOD^#pR$8KCH7+y+TGTIK$4a9${6OuZu^eVPZuh};ySO`9BiqXTc;xM#
zt=EnGne|SdvnMv~dnJC)9@G}Y`2Ac+%bPvZ_!UXdviV#5UGy)~V;c>P<C0-6r@nK6
zTjclgUA*kxD{3mnV9{W(7qhz)zPo9FT!I!<`tcps>)JmEfEk1(XSNU0hCa@`Ssv@h
zyV9ubbpwsTib~7x^{(C>9J{-f7FW#E3rjhX{<@uoTv{i9a3TmT*gRfnD!>_9!SpIz
zClW$U>f)8-yW08~&reT$#QM5QZDJ)%Vpbs{>TXqAzIv9vzWVqveEf~GAW@NP<ooXJ
zRR?Uiz>Xy(tC?-O@fJ>%Tm+BNn*}kvuxl=D4UPQvwrOa!cr(+I7aW2|+f5D?(sguD
z1<U<M7XLe?XUFcGRg?x=GRLfOD9&(1?>Qvz4^kqNwJ_G86EDtdx$;_TUm$~M6<sz6
zE=sNw^&UVWdD7SL@a>4lcc1m(>rCOY9{FH;(=|wABK|MedK&dMh>p*<ElRwzm*IJX
zlH;jdy38&-Yrkw|ReZGNvCY2{!1vv-w?=rRGVO4r4~}IhS`wJTVpKJ0miuAHVBb?9
z_i~>O6}0Y#K~mz>;lM$iGO~-+dw!`U9Qs&?4vZq&+cO$Id_MVg>RZkW!V=`7g)C|w
zZ&X?o6gK9lPOYVvF1jL&`cg*rd($hxQ)>|Wu!BCv*Rp4W)xoJ$F|S7{pZQ1Q^8q|v
za0vA{bWyLWiQng;bL7aNF&TEMdqm~-tv6t`1h^Z*T8o&b{!47v2Y$DrlnO^_W@r5>
zy}0i;&iq3ab}$KInlADEAFsSxy-*We51yV&yQ^z(J;{=6d5iq|?r~`T_~t3U1MJt<
zZ+ft8J^Jx?0Q>6josjh@hoPfoG&C>ZH*+dXh(!N*snweY#(Hq!%XnEV<HVow@r7X~
z>m&6h<}OT25hf!q4wDJ>L-Y68w)4rHpPz4*IhejVmyNx_tRI2YEFAn|!HJzqCozyj
z@Ho8T>I*gWS2}gmkR))o)zp5qVfgA8UyJdTG=m{r^TPfo%d_jfU%bNK`$KneTdIkA
zDQ}U>x@FpP{G?S>5bnt;aSg?VH>Rth4A`sfzHaENH%ZksNQGn1eB!lskDmMBmd+<H
z!`FIFt4ucWHzRK+l_rDCSxLtrvh<N3HaZgO(k4_tgb!KJ1QOD(5T|;_iSnT$FS}Nl
z98Y(13LuDU#-+6(bPw}ssSS;j5S7~Fqb=(MBqk{9HSolgvPB1!;HA#RbZ(Y>vJ^$?
z3px+&WCA*$C65UOw+O+f$%)kzkt)jCZ#!M@4rx4k)t;iP^q=}NtOWnue)^fVazupX
z|G3Ta>4qbq<;oww?B~MRJCl2w6Ge}sik3O=d#n?d{;!(@>-Cr2y7Vh!>Q{ts+Ec2Z
z4F?e!s`Je!u~fF04cxy=3pI@F&5i6%&yI;*<1uV|c2)(GbR!@knGRk4{+-rWAPWSo
zbYK$+3lE=IT#U*jlP!EpzSY;)caA7U^U>XXZ@WS1itGb+R`}i6!)6zh3QrhsvYIb>
zTW^G?BJ!;|x7w8!DO0A4!FKr9Q<{!5%kPejmpUT1I#5S@FD$tYrTfF)1;=^LmX>;K
zgYbjH6|WQN88_Hfkt;h{-n;_e5Po{G#4bU|nUEA)*`+M87aS-{`>lOyLIkhLAhWP$
zT{@by)9j_CMeg+s?*p7EGiauk_tELAaJw4t02xGYpVQ;sEcm`*a3$Gu;s|->X)_RX
zC!ci|ovAa6@qjZQsQFnxeH?oszdYleg*(pR1azR3X~Oy0FQKvSYA8}vn-0OOpQx|!
zxT!J9bGA)3$3q(bHimn+A9GWIFEvqVT)C)?N@(JEK`gZX(fQ*@+EK2QB$(@GCs)UF
z*X`LeQ;~TJENf;%u@f8iEJVz;^(XRkN;n6MB^r-u+h7injn?+k?}t_VCFM7vAGFt6
zSF4D=1`mM(QlB90{$v632JeI8Muh>-Gob}SE3lFQhcsR|i(y+7F^~ODo83Osu*j64
z_a)=(P(*tKpX<)6`GtilnD$t!uoQL{pNr%bg+*L4_OBCibANvk402%~9-H9M#`1FJ
zhvdyob0I(qu3wDSR-wsbSgeF8Uc`-{uD&?MvQ1b1lyG}p{=Ohwum5^4R3KK|JW6YX
zQmQp$$FBPtLL}V89-?F))nyJombZlU09PD->~#m}p&m*VIM)|}qlUdVM^CyX-wQqo
z>~blWy3CJ!osOaK9JJ}3vj~YEiQJ{0*ml7huIM=t@N$kUr6<a;07PcMFu-ra7j9Wg
z^BZFkOj^fV!#X$2B8dAgeOZ;iG;==O0>wI+Ujm|CjH^jeUc}K<@z$_nd>G@X{BaoC
z>CQq_&xv?lX;4-B-nhNjDxU=r<qW*H6q>Z)A4B%!Cttcm84Fn;Kwj>czC~cm3CI>l
zVyI4){*FDX?;DT{S}Jt<mDe|sedaw&XrA?o-W+ak-tedI*ET!SK*W)!;5r9=rEi-V
z^4YntLUxG5Qd8*4{T7eW5!vOj*^^|<y*Va?|MbB`7dhtIcZ=}WNCK;u-1j`L&ELrA
ztv~5B7#tiAKJmi~ogoKG0nSbkF-XQk&B~u1?~b4o{k8&~3pbtHYW@2g_=!<}3NaK2
zkI4a&?e={0GeL6+uY^fcd#EIE{P}q!p6r=|5^Yw<$=~WudxLbA>%Z9I{O<RtQ#^n8
z;Cx$<xKHD^xG(wz;6udl^E#uKpd46DfF|`hn`Nq^l(tG9tG}Y&OL?2MTeK^0L|hVq
z7|!e_JE!wBTZWH|=OQRq?XwPQmm;#V!kR=i<tP=`H7@&<W*n*_Ro17@NvCHoOQNf7
zb&Xkde_9q^9TW+#S89_09}mGVRvm3f@hwE?V8YY+W$T7vsS&}*)Ng{dVn){YCV2|o
zxYtr{r#$LzB(xM#$wGUBI8ev=72{%#<aD|JwIXNbf0u9CJT1mnVcfd#bV`}i4#j-8
zN%by2Snw5ZyQr9@%#OVb4ase6Y+Tz5aOlD*D3e3YFMYi}&kkjFSG3)}&h)+17Sc&s
z*d8!er0vFRj99q`#BcvCWo9E)HcYI3%xllbBQ+C>LzDQd`0aRigzb6>=Y`b5w?AWY
zA#Vc%%1`W(S~a+_m#y5^`KptzW7lv-l}(!cQ&86Xd`PzOO_2IHJp8Gm#Ae*n3qL||
zB=9t?&H9z!hrVoPGcb_xCjPwi#GhW^_Z&LU2?2}H#9d?JD6|A@9Jolw<AxSBy-2)#
zz|r=>NlX;xj}r8{(X=Z4oT$%m-q^5hUxF`1q?j|bqU3T9Zm9EkzHK4WnZJ&xkMZo;
z+h;Q3@6<yLsR8!cJr&6E<*^hJgZJ0VV<ywtDYme(cP`6Ot;XlbA&dxDt^dXqI=BIa
z^l{0)p?t-fG+*zSWA>GXW64!#*OT+2Zzv`H{T3!=hoS0eQp5-j*Zt2-cVMm)V|m!g
zXzx4Oj=VLN%mu?^+V7G_OS6xkIi&S}m%87Y16U_&<EcS66VRyvodCeXglPwPw-J44
zgd-6-WB5rYj0qtXuw?x$fsE$eoTTCC+(1+AeJ*G)d|6(l3P!s4$laB?q!6)i-4@!j
zzUDGOgFO(XFX^@OabUDPz=vHF50_}zt(iAPHnar^rK?=(ESQ{WS@C**=EtE}Ni#9W
z8XIFjJ{x{!*UX})+1b~b&$1mVi1;*hC2rhQ8FJkP8l9qXzf}LtPW~PjEhLE3LO*Nv
zS>TqsExv8hFLTjNgBD%Fl9Gqdrl8oQKQ;V-SF<Sy)82Ar;Lt3x{m$vh*N=&ebQbo}
zIdj`RZNI$s9X<qzy}8OlI~u-8P=QSVRMsMBu`eEDzRfZes|SNT>M{K(?jrn&(ATb}
zjDdO9KGJdmyWb)Q8RwVqS`9Lma{X`m-qp3JVi@)iHq;dHI!7SfSk4+92*13I0HUR$
zHzp98CDO*}y2MMJps^lPRt>70HftK&?{B50L=P$tMHiUYHh@1qJVs`6d(W#J+4RYg
zIzSYU`DyCCm6RNL@C71)HyV}^+FTJm7?H#pK>F=dZ9zGiL*C8|o4m#N`Ggr9S<AnL
z=<HG?^>pb{`;PV_MjSAUf&VNlfdqlc-J|xg|7#(4AZTSds=_t50+Eia%U|eWAkgPt
z{~89+)DTP7!iYb@g1El4^bdTH{B25(u>s74_B&yCDCk>=+OO6_CFvwE;$vA3?$EWB
zOH1RU$J9e|Bh?CX2G;Yq+*_tMx*h{a)1S&qQD~+uPLd)!ZRju|!LZ)$U@R}_d;|TP
zy<g1vj=7mdI785E$o?r~L{BR#kL!3f;`g^xeU3cSC()Lhb;?KKw81I1G{a2^J((Tv
zcxBLpweCpzG{YTTZUFX-`aQFI6eBeWAtrPZug;RnB?ZBvaoZdEjQ^}3Hs!+_2*Qpa
z7gV34M)+$nFrG{0+YqoZbzB36$e~rwz=j}RFx2B}k5%!U6G~OpMCo@clt}i+Wyr=q
z8_FcHg#ra4wu#ccOa$;^Rx%<@Vsby>4|-93`3W&$jp!A}h_EGt-9&_nGJ<i;IcAtV
zchzH&mOZw!JBgN_KXh`K6x&g+X-(yYO-;f2R+;a-AXG1~D!S&MP-inevFF?Hja@Zx
z+j2H0mZMpjNBAE6T7N>%Ea<Qrcq$G3No;vz!cy=WIC<<V^t!y9vCiT)mJ9=`aeF8F
zrj8eiFE-p$2Mu^}a}ow1M^gGWf5)5NZep`OpeOt!x44OAB|zJYINjUZ+W}jA?bP}i
zL-{!m>5C(8scyETs)S-Cz4`Vl>4K@-`<m@r%nRiezOO%Bzqy*)aH$1pH0`$Yvc=AY
zQhcxBBe5%fC*{j!Uc&?Rzv7!813!CAVKjt?{rqc&7)AWx&Y44%)~a*kIk;z(ur-P^
zMSd^q>H3x>>*?|OqGPgXQc#=3q8*Y~i_tQ(FIq7a#Hz2>Kj3E~l-cV642`wSZKwlC
zamGub({!Dwm^7o`T*MNy1Tsxn;iT)ORXq5hHwer|w-Is`kTKYn+tE=rq~=C~2h(_E
zEc(bca!bzBg+)}S%LX;2@Ni>9_}dV|u0QD;X<sdH6r^x21$!7SsgM-=X9`C6YEkES
zF#6zOnXtDChYh)`7}0W;qYiV8dMy=P8wliIxIO<fPI}8_DEuS>8TuB5xqjuB>ECuZ
zwEe`MIUu#~B}gX4h!?zY@NxxSc1|0CDh}zIsB+}W_dcGcZSejrRm8_%Pz6a?FaI~H
zg+?^M!9kZHaLJ{4;W&KFnlV%xO?rKCfRmrN*r};PtUiCddqeiy*d+QN_salKKFtK%
zz=`O{P*|iP^OW(-4igmgxW5B2wl(4O&ltg}0g2LN^!@VZp2hY`C*n#96*u7YUyci_
ztOiV|p+{x}Az2N=B>UnbrDF}>dAXw%2_#9gj#A>IbS=(f#@D};1Vlw+jESW&^=G^c
zR#CF=M?NIdD|6IY`np(2<_+J^ic9pppS~@{6Mr2Vj6|DQNu(>9Rzd7{%2ZB6j8X!u
zd(&^7B>Z=Rv;&)#g6ahO<?E4ub9L9k2wKyuX;EfOD$zWdbI}CIJuAv^%`9QxmA75i
z-+GI^1Ag~<t$KL(<Bi*&{Sk-`05NPri^*tZBWVFJ5%TUlx&~s(xa*hNiY**ieH%7#
z+go{#<CrzSrnHy*a>D_uwasNs{cI0b!OTs!Pm4N)Uj@-DP=_z{S;29bPHLEF%q*vb
zvXD9t?A<DoNwKU6ZV_#z7L<iGu<<T`F?pUhDb#@#WJHK|MXAr2tc>&e$DP+W>_Vw7
z^~DFovQ`tZLKThFRfMaT{D5Pq_{7mF>Ar3@^ueR;z|Hm6d$6(LSdP^E%9Z8kH6>kw
z{@)u21;Xo3uu(Hy&J^}Pn52ML^yF}RiHoN7YXykjl`TYl3-Dr&Atnv7WW8!bP^-ez
z9T6_`Mp1m`pOzkzYQJB7M;-QfMadpS))EG=@zvmV_2fFgv-6s4YA=Y~WtG6mN{cq(
z%M8q7q-z+B)m?<mhUDB4J9zh#Lqj-?$ZD7`RmEM!@b~*4aeigSe;q!=kig550s$7x
zH4|ZY9^4sf%CEWhOwAba%C^3x97*$?y}9KPeS?^h6QH&|F*7DW$KZEOwrVeIP5e<4
zqsKRBOe?up@3FuC>YrFUknq;vxl|_~r;e1fvz;XW{r~<p?uB<S<kCSl<Mux=%kf({
zPj$Y7S@3(znicr7dv@BSUyg^Pz`Y0iAHO_|sVYW(pu~C`2~__FcjLycj88z|Q-XCh
zf&@W)+DirQ*oWfm1jq$dEwB3L5)km>`NXIANJ?ojmHETUUfX`B>h*N#rnyPa1(mrc
z6MLVB*Fs;Zaz(RhaRL#a0^}XBZlH#rUr2<tM4Gbl9Q}e4+hPEs-b`FoztY{W_8P~Y
zEfMkha7ndV7&wO4u`|zfi>riSDBl{b^nJ^z^wH3it1SxtqF+Y+`@n}9cnsN?e!k}@
z?K=$hU@@6C>3p^SdgomTKqq}<B}FGN?2|1zqn0@W>i)~efvgNzz99dNJ?l(K*K`*x
z>Z_h51CbOxpxcH$y3U5hi}=ImsQ%Bn4-4rX+3dzibA_<4rzp%~AC?2ly`A665KH1p
zp(E~qiE+4ER+PG|nPbzcI3XJ<f(poo%lSJHhb>brxy|#Yix^SCXnWIl`g8UX$FTsg
zFI`M7S#_mMTo<jO5KWm2+#sv-5YJ~_VyQ%cNj_rxclvcXFK2<gDa1ShWvdMTI#p%y
z_A}dj!$8wWRCz7tEjME1cJy*QSiA{*OwIfH_Pv;3hB)wf2;c(&iUF+vXpEISBggms
zG%xW^<O@GioT{a;KsiX0U4UL!!RH<~8bQ8=aV{CXdi2k7*EnAq%0uX+nrQ!vxke?(
z^haWfCRdT`-dHg`C(E1fd^m-}HNWGXi2Bp9fAx_5Z_-DQEKpRv3ai#VI}9+-$6&2b
z9ZI+Y%z_wEMdr)^M@wm{<Yf+L*ZXCEp4w-<&rB_1KL5gM<I*|l`C0yWu)g7df_*A@
zV0a~G)6NV}@^fq%zE8Tsk1WCHA(zUPhbCo{s<=|_#Z*jt{%@&(1*dPU4jjY^K=`!E
zRISe1{EBm$$UYb7l$9e-x5=dI9mtG3(9xNcSvCs1V=dNNk`hzv^AYh|*uUW?b_xo2
zY;#tbNr}J5q0knNB!8<~`@~ig^>CQcIG|_kX7`02odYCrLVMcUv%xM=w)JDh{$Roc
z%v&m}BEXu~xBaGEkOT{Sexdhh;a>=J<knjUStS5cY+{$#PvWh#h$#1bH0@B@oMh^_
z5n#*dm!ZqP1iaCk?kA@6Nf>OgZW}0+DaOqkxsee2xl$)CvjH|*%X%7i<%Wtva?Li(
zRTi483s5lrw(p0lO<%5snapjZIYU-?{GpyVJ7s@ENf6}944ceRNzZurY)k)$U3}nc
zb#Wg5@F}=w9X18_h>@|Zd2Di*wHo>hJh5Y6A}z~K|982wp1*Nxo-WMP|G`uN)Y&~R
zBj-Y>n^R9}f=jdvP}hcMjK$*_?!&QLd6&S7D)I?l-3BJuR7<eQr)(4C9q>YQWVs~h
zh#3%(MuN9r@w3aE7D`^7eeJ~^L_t$8XYNd(6{TV#fR1QG;?dR_5r&Qms)p-P=}oVU
z0Tngj&Ub3cJo~<*sVb``mPIW@Mi*;BbTojQoaSY04Gpe6dlj`jA8lOyqkOrDn>*nm
z2m;~>>&EIkXd_dfvvGw+#8KSfSW-z_0HiIy5a>BkiY6+lH984>;Z0EJOkIc$J*H|)
zy?!PM5*D8KAc7?+LNW&0rg5YH#l9FiSnP}OM@D+~cSGn&;XGaA5l_y%=TGjS)D4cN
zXby&L!KNd^`$twGQ%XG7`BU1v5x>nRdmmX#n!Zj8{cGXqr=&D`8N%qoA?rT3x{Obj
z$D`r|N5kUBHZGuCX%1e4ZHjjj@)5^TIMI3*nj7ft#%kHfzuMG*IB7<wJn;`btj=*7
zK*VLqz3(sWR-icA=`(q;=ok)jV<#WcJFK1JE<VXsSfC`w<qnv{cgmlM#P-fI(t<VV
z9iEN22}?n$u~K_Qshk1pAH>YWjB`wvnhru>RTi*P=iPPlD8t>q$(FBFu<>y@r}y8K
z{<^?Q4&=}L#`UQa8sr^^eKt`{<z49`koygQd-UjfZK@8h0<C^e;kV@S48A#b8`uuX
zM!!v40JZP2uPY6jK)7$P+l9#b?&2vKLsT28Uv<+BIaNQgttqAIU3)eY7cf*O`$lSe
zZ@yjl(#~9Rti4wbORwuJKNty|tC?*b?%?4JLW!#7YNVGMrGs+}%gs2(FEhhB*A|jr
zlUbd-76LCY-o%v{h?r?7i^p#Du7#;JJ@jnMvkH^kSOTk!Pnj=wOwF-)rA(?K5Zs;F
z`^>Be;y+LiY;lCv6{WPm1P{Uk690?s%3Ux+XI>kOEB|}R=}@FrZkWLENcV_<5oc9M
zos6s^jDC5$sJz)9c!&Yw{N+xBLs;?qH5=(7IjUEEq~>q<X#q#q#1X%G)hUky9YnL8
zK(ml$^-Hs*cm9S}^Y-4hEV#vHND0WLj8NLCn27DpQ>sXghDR)cmloIJ{xW6GxH_ld
zEgp_pBP$Pz+z=TcA?=+1#ue_y3TbW}<un2*>XBcIsL6HWraZj6ZunQcu#7QAwAoPS
z;C_P#eW!j|UR>gHKuGierJNx`p_imDQzGcIvJYannObKZZt9@>)ivFcn6=WsvcY?7
z7%rp)S?=!N?WT?HIqt^hbg4&M1$I1+%>6>A3_&8;$=((NU&?aTX;vAUpVga~MSCK|
zAkFprIKX5ZvipBdill!#bd1i(m3DFb;wXqEv;I;7U#XlfF8ku+U>KFch3cFjhKkT7
z&o604iyY7HnYCSXh<8>>w?R?$Ae!8ru(R6ir!X$nAGTI;Eg;0tEw}#Ndj3H^Q7g~r
zI)-|G#p$NL_1b$~J!IHD`2fqOZuo4!o{#R7+$~!&Z-P8i-*)#AJGYj+s2#N^?R&oy
z8OTV(Y!-<XCK*F=PU4BZMLl(Ga|(Y8XN(q|$?fXly;h^K`wPcJBq#5S|KEHuTOI}t
z(xb(uS^86pgN?k3b=b1!*3O3uG1cyTGmr9{Zz2LgmIB{#-Yykh;I?3Y#K0mf`t$a^
zk#<(v?R=2?pLZd`aaW>CeCb(@lw-S}(n4xa1t~jE0GFxRPF~YAEUec+kR)*0<+*XZ
z?{x@YOiw=J>HDeDlV|}Vpv?ha4v&4#YzUk#8)L|w4cgZs7=#)s1FOP(XeEAnkno*a
zhFwrdkj7Fwo%jOe7^=O-WRgED6pgSeRX26^hz~x%jq-zlm!`sk3TLupqmtCs!0$Di
zFkFx%kR#HJ_tUgGKy&LUz(z_42Byl@gJa3<t%*E--LY_Xn^5z&b_UC&Nq*yHFogKt
z|FaRiSF7~2*b;eeT<Yt!LUz3IgGNjQUCs4$PQ}eHq?&czj!a_AzbuR~B|o!P{r#oN
zcLDKJMF?(wBhq--lIIPK4FLI_iQetOg6n-BG_a^O0=BlGrh`=86zJKUhWb=@p&ym%
zOL25=eEIuA`_Q5~bjbo;e4nX2cpNT4g`657n%Z<#;Jt^oI=9xa86Or+jt3G$65{t_
z+T>j=FZegX6T%IVva>V8?&mKrO_|!FtX@a;4hT-Blpbo@a^Tz2>}9Y(Rr;saROD5F
zCj)y5;*%dfeG{G4ykm^$b32~D$I&M7I7T-A4YdA!4gvv`6jV+T@*%GO<7%MF_S>3&
zzupfGcZX3GzThdqf8NB`%GDY&5sK>?A7IOMHfHc2(7)q7fIb=Zna0;2hcoZ-{T3lz
zoPQFW+zofiMIA*Wd#=EzxKjGbdbH~rFT}@|rC_km((x1<pG`n5r21Mlw(Z-7iK|D>
zMZ0o`EU6ND23;(K7rFaa7x!aQt~I(vQwFe;x4tPr&rD;*y+YKp!kQM{cLs4VZN8i?
z@6PoeoE+g7jkgW8a;?u>T8YHhF$_=G^A)}!8y$Zn9y)>*A*egAG5iGX{f+$(tYKrz
zxG>myx823$hcyG$=B_J5^OIuwqlmA||3$y6-<jW)Bn|Gr0AWl1yiMVX?|^r9BEVEX
zx<RNuq_&oxIeG*#T#GfW>fB6pO3QqyxY)KlnDRIC3x77`;iIrsXcXQ^u~$_VGP5xg
z4}S0mJ{eHFLD6M|7w}Z~=@WhPF!tC}!P)HU)M#skD<MqGTeNf-Z^riS5(NlnnfRSP
zHQC35N6_<vO~s7O%HLv*KcWYUP}Gw5iDxW6u#_WJkkq3J2L3y}48)%CJkW5|UOJwG
zx4Lwlgm!&`K?H)_PpLAspX3&G8l!aO;0bh_Lv6Q+#lIM%vACEt+yA)chY8zC;V1HB
z$z}dsJM1*f!$N}JJO{-#{vXqTRmjNUUe^_d^{is+D<tb^^=*rB5a^>pf<JWg&d-!a
z_K>(Sik|pB`$_x9Ibs8|%Lf;MsC|0wo~0fcxuG0CIu#)&JWz&f8H&-*2R)V?SQ~{H
z-h^2;j$h0}Rq#LCZ3TVOS<GD4Vt5oYWox>xbSDw_+94KF<&}DD_A+Km?sfFT{Auwy
z7LAfPo%$|<01abo$v2<3lzg6U#EjbbBM(1=bF!TAA<C1p3IAio+*G+pbu`^XV?!Dv
zt<UN`T$~wF@EiDRldYriExwQ`CjTHa+L-qaNz6Df$_D3ciUo{Yr8&L(@kbfo-%I$N
z{V9QdV@E;Xe*7!08KEL2GXU%iU7mHey}!M&0f4{bIYyEl84!gGmFKkQD_)5$2C2!#
z|BWiJE$fA2p{u=v+LJ$q?9;pi1FlJFYVVY=jg7d9P<wd>n;S9&qhi5)$JC(LTQpJx
zB8BwNQ?DElfFgx^mv(fK$fg?9XsPfw34{ctF+u*4F=md3K-Ba)doz5gIHLR1+}Nz(
zP6KUGw(hp9Pr5D9p$74tQ9@=aYZE>@r$@bdW^mZh?gl~2UN6o-hws9DGodb4P9IGi
z9#jMu&f#EHkt;jzJ6f$#8207&dPTF}z7;p|r1|F)>7C%1OI`?FJa2Iiuz$Dv{k~)(
zXjA-kMsGx>#Sis6SivK&^C-vgR#?l2{=``J>d!;WrQT9|M|erCB^HPF7}fWNFzXn=
z265f#L*r_J!g>+w7QE55>KG^T7$eLjWS)x~mCBsE^%ZlyW3%&A?}$P5c5kxLp~%z=
zimv2h!g!R>2%rQSOB{1L^@<4(O%=yv9ggz}iMC=CmD7pPUL|tk^7`t!yD9@xpQn&$
z!xA`;t^}1vb1={26`|}c4^c~m7Qbxn3B_TlfjDbph_VT~P@pdif`|89Xiz@^sZU^6
zg4*;C?C2}O?+c)<=r@6XmjV#7W7K=bl%Oe#-l8^);Zn)tyH18EWvXTe`Uw5YZWj+<
zB>_LD7IFuYIR!kNQAqb+AOZzKU2*{Ev34@am5$ze$;qpfw&ohvsq^Qni(#?Mla^4u
zmeL{5M);_2rd9<m*q!Ll_)(6yu1e1Fqsz`ISD>!=Q=G<&hYE)U2&LdRPY~dj1SF4G
z2I>rBZQ%N>&^bA-sM71cVL}P`)E}p7D0+IS-C8E-iT|NlNjZeAovvz9;Sxu}uOE}o
zIOV8`Zr8i^^|jqhVf73}f<lK9SzqLY^(^=Rh!M_O#~-pVgl|;!Op4eb59r~rD&5U6
z%cPj<0%@c6NVsv8yZYn&a3x_?5R^1!!kE92LY?e+n~J=pi<VrETW50h21UYPmlRJN
zEv$sc&yS8RgR<}H+0+it#N~I&+ww6_$5Y%){7-<Hq;$Npk$aPfZd@^HPup&S{{tPm
zyfP~J4D@<bnezn46MrSgjbp~Qq&t`!Bxs;y?qtsvlkf2|^6N8)l*AZUg1c79X{hE^
zke1Jt-U9c1GzXCaE6-)eWjbl%A$F*=Nm4xppn`?U^MM2C;1{#M$OJ@;9{BRn$>vya
zctog@^J>x=Gh&$NBGvr(fV{VEZJrkkhM$N7n_oa2A7orL4<zUtW8R#ttlsYvF6y*>
zl75Ym)EoZcY};snc=uo_L@b()esU4HU@jCPV(5Q88e4pr<<v+1NSFF|cc2DTCM#$~
z_ML2w!`aI-bt*-~Uca0cmvMp(%J*UO3J9XZs197_CSDzXk+${fsTnl>YjelE2wE@A
znSRV$^vNkOe`ZD#p(z(=PS0k!rUxV;tioy~kAZn13|`l`r?1Iq)~=H_%mrn!`VA-e
z2a0ol#`U*<aLX>E3|``n7T@gOomnRvYU^eO_+0J8LVnHK2T_COYIrw`-Z8gC4fk+;
zD}N-7=%&jd^~2__d9n4~0EK>QVJw3Z2cH0!D(FKx`YIy6qD?`Houjrdj<%qLN*`fq
zPok6c<(u0ko=8_=85yj*N<7qVW4C48G}ME^_J8N5E(Yc|b^G7z{G)|9o<-2YuKXh1
z0*HZV;yai+JE3C$B5HmJNkQPAfGJU*j0-;f*qwQmD2lalUH|jHja@BzHD0@j{*LFZ
z=t-KL{r$JzP?=L2KZn;*PwaSI$0lfoEWK=m3hN>(+G45Y3o6xxtI&_shTRMZd<moL
z550^e>sT!khR9@SvmJx-S&E(=p1ZySZ{aHQ&pwke*~XSpbGgPKKvt;vY^k0gT)+yS
zTxeIF{L92kUl@0D0mr8T$6wxyuBgbjLG^P>fp0%D860{<-h&+0pu3nSz0>VRw9d~P
z=g`95m*>isNW|Bo7U=kc+;5Kz7_`3N+{Yf-CHzSh{)CdC-=QQZ_s9Pr`6bAoEjs2q
z9;gO~Y2(SF-QDd8D=JE<hX}We_P=SBmG!Y4{E5b7q0hGS&#XfY-78;&W-voC%vhY>
z?DW7WE5tr9=+RUqqxwG|0DEHl?)J+_%W%-%MUae6KKiwzdzVN9{k|&NZnDAHW=JH4
zG4q;bm9+YQ0f6MxLi_>y_q<>F#sWBL8X`-(7AsLDm6#;RYaV(=8DwW`lS@~_!^4gy
zT5!zmqzdYluIR}MzPVEaNigG;7Y{R~M!$CQCr<2GOJvj_yOq=CzW&#e>iG4FzHy9D
zmqXrK<G;i3_69KUnY=3A&&H>r?78+&lON((-6U3hRB$jg!7+0g*f}v~BAKF&x**L3
zKnXVf6kj{0fE`ID8n@E>2Xs|Dir~|Vt=#MII5!}D6L0!Jhct*CyoqSIzI!L4h3*;k
zMd*b$&RK=j>{$JAg-umRqSw<->!2FC-H|nsbXZfG)a@wwXZ=h`s!L(^DX{T@_w&Rh
zI^&|FX(mRL;_cBd!l)-5IIQ;7zX!=kN=0Ife2^_Ig*)-FkJkEB@g^3Dgwr0lgwt;f
zohmQK=&P2-97}I#WW(^YuY9R}t!=U1fB;@Ma+-hQUji(KLS&OA2!sD~mW+WxTA#y5
zY$Q26(N|LSJ000y@Z^i}Oe(+{ZDBR8rsZ)o68bJ&d+=oQZB8|<HHVFFF1aY+VSUW(
z7GxYl(9GuCyP)IUmvpc)>HP}{lyG|6<o2tfV+sE}M{%c2KLYlq)E;(Ef)a5n8~;J3
znbks5$pUhnCsbB1Xq?S*<oUR^8NTG_Oi~GM@k=5OvGL3FklJkmd9E^IF$V3MyNJB^
zD!q)KOD<k}GsW<<1_iWYG?!o)JG({YMk2Cd4Vw74A*2j1G{_<!^82*zlrKlNrHXBQ
z*w0}>=e20Q*0}6xeuMsZ5TXMEmO-3gq*xJt|GW6FEP<R7faU|Dm_wT`FUE+Q3s&|C
z0yG>U+aJks!)9*H$ZyI7IByBxAou-u=(9PID{+3lt0zM4CDCpH7Z@i{h1M{f0%^-)
zdyP>ze@U2LzWzRJkxU`7E>S!s`5xC?#R^SQ*2MDQq7w!<cgcq3(N6)e7OWY5f1Ey1
zKEg-20n4dz#)^)Ol04%Bvz(e&x_agnooiw7R*rQ>175`T!Q`}&&m*h&^b8xKF7_+N
zA<Mzo6X0Dp6H)&Itflf?Mg#0gnZI{JdQVuEm~@XL^B+9hr~q3!pX0cBe`jtc;B{=8
z_!`OMm<vyUG+eYF3&}1g;A^G5y)#zL&<7KqswqQOc0bs2WK#o}L+y8RFiz=(b?oS{
zcteMV2t63mll_3A)_W*4VkRY>COyi)=#O+=9wkfBFbHCOx^gh1zI6hXo&uhbYI3NF
z+=4KW**{=ohGSrO@twsz?H5M0?V9n+CnQ?`V4_J3Jv@^@?bme#Wmb+VuC)s&Ob+1-
z&>kL_BV%E|7tf*0W*m5WsSm2LWTP8XW*SaGZH|>o=CpCW|Bt8Y{w-{&Pj8J>|C{Ow
z>2SwhE#$y1dWmsLv%In#@DyfGm9<+)?Qa5Nb)P@!9bvooGWwJ|!rs8j9eKsF)Q9Su
zQRpmiZdIFW_{`xWc+=-^e1KhxWoIwcRGWEp^v#y!Cdu^orRY;gRr##Au{l*ibK#k7
z_&r+m5&mSlh%XW#wcI?ZGW5*M_rf{zjLVO%U{oRY<ekKLvaRoAvr&?OPA2K`J1q+@
zq@pV5EsODK6%vfj?Q{0x%lP`#mw9HV1p+|_!p+sutZ^%q7C&-2CqVN}I<7Bn*~olQ
z*P-=nI4v=|7i<7fyCf%W-|SBc9iQg&4fnE4eOAIvJpblxg;BcSx8p(_xKj*O1`dYx
z|B_`8O^5K;UHO;RAcD);GTz1lQabl~C^A$_-RKP{4YkA(5J()4dQI+k$MuL0`0DSP
zty`g1Wn^ab=O)BXXT(EX6$_ZF>J<l-Z$Bk4?*#(^?HjdSk!TM_z-R#{Y|#ioX6Byr
z3FlT#UA@BEG={yewr`|8X5gKz9d?m>iLrYe-UIJbiM>$_h;f9{vqvppl?IPJZs$(x
z>f8oN<RgPHbFgvpKxUWG1UClroQmD~(IAU+4_#)2O51bd)MEFXdJFOxu3lEwCv=i{
z<_&3!*aEPl)1iwG=ZSwd_=zgh!56zg$4}J6iFg=@qZ>7^PyT^MSmY*CHuCSQRF*-I
z_ZQ3m@>0FX6b3Q)!}U}WJmP+|EuO${KnNCsOaJ<s1OrNbDo7?P-OB@~>W=mt?}g_h
zmqPH=ARzl|h9rd&&#yIQX(i=;7>iRub3xZcr_aK$+$F`Riuy@H(F;Zv1U50~Se^2Q
z3cPtTPukHka1ZgPh`9uXm?6e7SBGc>ias-ldjmPC+7t=+AKTOBnW4E-^MZ|dy=J!(
zQO5Pv0oi@&O!WF8T2q<zbq2=pR#dWqoC$LrjD;n%#)U1al<q?OBRY=8@M9m1uN!@n
zJ0Z!r0iIP@RTH{oGybO+agiaP(V0J62}Uj6Qtb{(CJW90an5`(k%#kzn&=)O8)HwD
zUPs$w4`lV>9t6_YwH*$q+08aAG2AU7UY2hFa|rKERZ8hZwIY~Sw<e#_G!u(5l7{wg
zg-=0fooOC^dO-GH=e+Yf+P>L_w)s3(gb+R$n|}Jo>~t%%iYcIDlOzx*4HS)#<)Cjn
zS_osCa7gUnNg<a8o^X#Rs{PB^JoMl&0f^e-_88ZWO%?Fl;RS5%l7_E=stug{!OP!u
z(!YH&O`B<fcc>yyY9L|xZQ8TKaNO}&Wz2qyHF47M^jdNdN4sd$vgh!lO(O(UM-b~%
zy0$8U?&cw<`vroBpCOD47{6v;jSo9ISvf`E2hSDX;e056Eo7Y0Sd3g0hl(TP6Hf-4
zyJMor0)1htA$$*d%{{9}Bb-|XC2Q|L^Vjp(t@gT*swsf4EtiC`<yA9ZnlKAWbU7m6
zZ;ABH<SVh^`z9FR%bd@UgpEJ~x*?NLJAI{m^S>Ur5CIM#qeojqAJ=2fuA)1x5CL3<
zD>R?}CJsoNFtbz9ypT2l0XH{&+f}~rFmgx`@!7tY)#`8DSJk4-@en2nUNY(HjFD`x
zB2Uv7mbO~XEtjiN3J4Gfh&=yfz8C^~%E^Y1DA<jmG8=JE3Xy@*nmwVboL?kn+WT0w
z20P>HFr(s$u-qUc$$2tG+%-S~hoz5W73lFK;(de*luFFseaLYWFP6@b4i%@$;VMSS
zZz^tTYStM;v*hI-%0W+(%Of1D_oX1Ws_Vm_CmNCF_?e%YvH59v`JgCqCb#Jag7UZy
zQ1wFwq0X5I*=`{tr|aH;%kweiL-5f<dARrWQU4RRnRs;)9-eB$0uP)cj}1vt?_mI!
zI=Yk^erYG`88~106Z_3xmtcVmN-wfjIvI6N2C##J-^|q_?{c7{jmm#m+Jw(O?IR!+
ztMk<REeNUSLf#Sl$~N#*AEnX@)f7&uA|Q37B^$|ZuhBO|>Nr1I(T(1hhC&Y@yPg5`
zPe>!T@4t2G41xgT(h%I<#@*Lb(hvn6vp4fb(Le*0be$Bye>A#f5*>mX%x6s}(eMJF
z<@22^o$+dFu+m$&K2aa|dUz@cyuQyYdm;H(UI3<!b~qza6KRrtjVIuNU6?euVqksT
zE%O1nk?vem3~QJ@N1u^qxmO!)A`Eh)!(vc;Wy<3lv#VTLh5BOLL{;E2LI%o+!%8R|
zbzU1AmqsRW+qdmAqIm3U*{`CdXVXjr-*g`2(4i4_fZL3o)4=s>@SrPZaok~o!zI|{
zM9>0TElLnWnKN_EeVv^ua#Q7>SZUxL7L4QkPG#ciFB|Y%WLtJP=SeNyt$r7Qw3E35
zN*|wm;w9?%>%pRuu%(_4cl@j0K33t;{1ts8K`33UkQ=s2tdIDFERmU8H7g@%2o(e2
zVN>C?OE^Ga0B%o7oF@-=GW_jHf&zz=k2jv)<JQ2s_yLnU$@funERjP)A#UM>3h8Y3
zAJuq-&Don}zLopa3Q1AM2h|)<FfPC9DG!p}-6H7WvdUjL43wwTd{LiJnp5JvFD&0H
zl`=*Vo^$h#wo#6NNd`umAZ{-6Y5PZGqc1OkcIii=vQF0B*MC-)76jurPcupW5%-tk
zI~##a(deYyWLh)ic&R%hIaR;oh-IZy#GoNs64WoS*JV}29G=mZ^q<1A(HYjO2`x};
z?vb1uOwY@8U1TApw;!fxEBrPsXM#X->&tch65qWAYmo1zy(I44u}vO%w7k70Cj%>I
zPxQ=9ub*~0Gj;Cldjm}GDf^z4C!T>tPhtj?tdusnN{#xCv&F2gxeLZpB8_`QQ>$97
z37zGL$_l)SIzP<%f{L|`V}Wbi>!cms9ZA}(uG$C}E2JMLN+Vb#b{<$GIWZODv`_Ey
zZ^QoDrY!^9Yk))1+ON^S1m|yy0Izo6B0Q@~;QcibGFE;C0fW8PVtO1eM_GlppaK1%
zL@0gEh&3;b6ZR6bA5`IFv!{^<9-D{FIlkk0;e-oecwsFlA62cL$^%TR7@G>zcm?9S
zknHGf^;R!vMT&)pAEsk3vE@}Q9cDW}tx;gw;C=h>k%EUKWM7)6I+)H{X-$+8H$2ai
z$5un3w-BOAeoVKM)qfZ&Z|p$&x|Qp=8O{pBJ@@0~%dk9Om_}4|S`8grJW0Q(4Tio3
zBDzXrms+T^l9n$hE1-6?_&5JHy#!opgMEBdF>Uz*5WW^=WV*+#<e3|`Mo|Qmd%~zp
zRgFBQ;V|<8bP%$z+p#kYS1v!?B_+WtngzLWeTkR`Ro3jpcKA6cCxm`fBx-0+@%wS`
z=zaX064>A}_;d6hKeZUcII+Pp5cY5}G`coMN%dnBE5}c8CzqeG7l!nXCtExOb>D{7
zytLw*z#cMUjt>v+57ViD7oOMHurf3TGUd(cMJYU1FJJi6W>mAP&Z6GcG4n29c0zLS
z+2Ut$A=YM64ir4g@Z*VHc!ivRW!wclJ^P1+c6O!)Lr7D9Sz{#u$Kj7AWvGM6^f9Gt
z*wqAhKGcjmjG(^AiXQ}3D>#`Lk7dJ3%Y8ryH8&*H`;pBGSSMWQ>s#O_OX{@9Qo;t?
zU1I4O+;KTAonG5r=EFWM$luwu|MOqyq8)-6E|aQ|W~q-8!IPk;!vb<66EhS;WuqO^
ztWKD&fZ}p-sRZ&L%6M*;=cfJ+hv#$Xu!tn*9Z|Uu)BPjI!<!zo;zX3C2!VKzoVb!%
z_L<C%jKSCu9V>sLV<quq{%D$IAZw?`?S8L<dDRBqQPaa2<PgGVz`0VB@{5f}FNb?^
z9HvNHA5Xs<4Nkk5?TSKuR&8QH;5fUpGCV0A8G&E#i|vle2RNA-oYImO_f(-2M+Kq!
z4E2eJbCZ+{1ZI~kYJI<!N?{JnQTn5tMx$hux8kCH3ZG5-Pid)=2*Ktj-1Yn;MvLd|
zYd=1I^gB@;@(DjtstC+_o~~Xijz7Xm&uNs25X66;9m5&DIiO4BOK4`uh6(ltPib)m
z%c&vza1y*oFut$ZqS(}2^@s*1TdwQ8s?xl7K-cJQgud9SFjeJl8$CCGy^p*IrlVuG
zOr0wD%lU(J6)zfKV&S$=?M$RNUZf+VN^d`r0aYd(Tnsy!l-G`0datd|%cMR<Y_&jS
ztoT`MVYDm`tJ(L`qJl0rWuq#0Fuh%v(jf|rtbZ9LuhjSNssfoLvps_L^A39CyyszM
zBACWB$<vv)C4oX>UrZRQgh_=3=ZcALsJkXIec&XG(a&6}IFPzmz(f~7!-syKjSA#H
z`puovZ%5WF`kOnRtUqC!Ut5f5)r_83o=mAN*ksCfv)1w8iQiD}=u~>;kz{VoUU-B!
zc#r>@pG4l>lJV_YgH_9ud3#h!9qh!$_3ryew+G4`_yugI8T7CEU<#A_;ge(D2Spr=
z=CLOBW~971r!DVWPF?r-zJ?2<a<mmEa8PlbxBDGOIufa~sZJ7!oewJi8s}I3=gY=6
zI5O&2Wx*Mr=%%jQE${<6k<)icdlMen1Q+H?CwlVRD6O7;?~F5oytaDor-dLz>PCH`
z)=yXC71v@Yy_U3qWIgHihc$Y@IrCwPLT=t-s8?3^r?-il;#S<yIq7F*ov(SD6`v_$
zmTpE%8{QG5bfyhESV~Z4h*PqoN-eyjZO;p@O1uL&YGoibTD^NGhb*JMZSu|0#SziV
z(mvPWk=AS5KIh{jJav&ikPjAxggFt?R5nW_qALQq-@hhb#4l|t`s1yz{&*|2Z~tF!
zmBs0_G-)xrt3ZNr8x{YcYdR&(7MPKM;vB=F@uIb`;39;!Qdib?T?pLcM(iN}t6Bo)
zub8YITHJ&fotD;ryzeo<jD=r-!`T1!iX?kvT#q|;XppgbmxOsN|9I*VNjO!eQ$nMm
z^Me#kUhGIUWvGe6vr9)*+ci7-Zzex7JYta#lKbteG5Kg~YZ7O=-)oN{t?Q}ma8t#O
zklAJSZ^Fjg)LBM)+#&DuHp?WWHp%vjg`c&*`DDf%L*Gct?sPtE*o`Rm1j6cv;ZF9E
zyrHWF=%H1DJj@Rd$Mlm*PmQ$Y-d^tcm9QOn6RP5KD_r^!()0yCVsoPj2gB$!K;$9G
zwuYsM>coP)bF<b^0<wAXCNw{Z8jv<&#0^5gv#4qB?s2ORr<)KVm$2)Iyli@Xtrzo!
zS23|mYo!A7HDD$7=Pyqs2}l{ouPf-TvxEtj=ZJvZq9De!DuO+3=d7hv7+}weJ)8o2
zKA(XgHs3i+K_VgCgd)^Lje<Lt`s%~VZHv?yLK^9N2c*ke4Bk|w>{n@G_7+Gt18~l!
zLO4-~D$>IoxwB(8LC~pT^Kv&X36rWU)+cR-+#%p{w=qheVjA(FpvFhp&N;org)sao
zSF{OEPv<u0k2G-Q><>$o!zaGe5ZFpV%GUnnR8H2hM|ocL%Ty;xNg(o>NrhWa2Be-e
zoL26C8mK7&=^I1HehLGz_#bN_sw+sN9JwAwwlA}mcKS#Ah}u?yvcav!4lD+iAx&Pt
zPtjYMSD#Jag${*b*9vpql3IO5_~;|pAL1?+Mc>x<e{@|{K$Tt7l@g@8yQRBBx>KaP
zJ4Cugx<R@@L`Awg&!JnoySonkKkDmu_g{G>u=lg~%$hZ8uj%FW8k5~d^ekEqyXGjS
zz!lupYB~F48o7c>cQ`d%p~a2=u?}=(p>am?rCEh?@==h_BLF@`5wlE~wR^w(L7ka3
zVqE`LS@uIkc>BF=ECKYXxjnK3QfmXhA5=F|a09<vGGi^!fmwfZRQ)aQUC1cLDo1{@
zQ}pz=-xoj?`an8wlQM#4eSqmboH8YwBz+y>oa3-c+g+L^CYjoSE5D)GjxWb^VUI<`
zF(;0H^^*+q#Z;}x9AgZ%KZjuvSG_c5>V&n3ml0PYq(41*9&<2)nn!2W)Bd8_V6{<H
zeGi!uiG8RCQ}Gez(5_4ht}rqkbezyDQZ3@AF9=O2*W&(@cRhnE(UU56V7}I-F`-96
z&sO@SLTpoDcjO2M@3m$FKEEwUl_Ty+`{gTX>;U%cu4ic^L^_Ap8F<1m4nn*fqZLEm
zDbuZvqgySbw!x)MaMu|;@@Zb1N$k?NRtZLF(i8-1E-|^O?^y4!6<B#R&`84_xv3&f
z>eVBdQYcA5wNJDkG><`bRY%~)GsX9?kK=E{$E)^74&P-F-w8_>24B)`hrkAq^z3L4
z4*ae@lD8V?Y=P=yn8%cH!SJmW^2^|gIeSLE+hDt-NpYRI6M2?I?N7RM-`zbtHUJ~6
z(0HHCK8%|B`e&$Ez-?r)$qfl`go@vxL{CjkE&Trdm4kx=JtO0Nu!VWYkcFj{Rm`YG
z8(`U1Q&(5;<HtT)$~f<zZw27vpLkFgA7(eIHb6_IvKN#)r<X!6d%rqY`Jm^n5Wnf$
z5qtLr>+$Cd{+{=rq-!VFp<JY`3@s?m;@dv=QN9?3ECm0ZP<Bs;FQInddT}cd*#q$o
z9{7l_^FlRoh|2Kc`3zS-G^|?BTOfdqO=~}I8JNrXB<!^g(Yn&M?JQmifz~rnW<p}7
z$%&-g$_pVrd9P<9cL>`@zFoMtu-yxP7&Vl>8REWVZ#1AxDnOCKhH(|P{+gywWG(r&
zVz{C-{+s#R56jk%lh=PI-gI=ovhOH->?V51Q`wS<4)5kbK||XJMic4y?RmGiXQQE|
z6(B{O;zc8%@@X^o>9TnD<b;<pmPWU*s%io~e8qDEg;?OjE+a-?RrJt(iP7T#dZfh@
zFi9`GpAx<O>F$8fA6Oo0Z*a!<6JP-6pXx}P3>rD_hb3n7jyuoB=8>2pXNITmdsI<D
zR}z+D7$@R=^O{OmiDk_ek&X|gzpIkpnHv1d5se=Osv$}Z)J_t)o}IvVx08q;VSdV5
zKD^E#wIQk!cB)%QwpCLS|IIW)dKurMk|GKN6#JEhVF5XmVG|NB;pqEfPjDwvY1nFQ
z{+aM6l&(tO!(mtoJQmw0LvM86u)4w`d-w^Z*ZS#z>&e}UxIcaGw{`lFIR8iw_$Q|t
z*tm7jHrcA(@Jjb}q(NwJWtLO<wm}`5W266nV`K&?R5>UsKW!>Vo)#&jI&Tf&C@Lzx
zS#}l34sZ^{)QecCciQL*K|&`A!=h7uQxGEso3hmoSw||2&B!49H9bvOP|h^Dun^_C
zGh*WFyNDj2>vPQCSNew6aj~N~*FSPFm9;QGzcbCe^}p&1s7mpnqv(2)qw$}>K_qDz
zQR~CiGiM{og7h~H71b2cWnf!A&x3zuDZK-<0*!iQ?yS}tn8zDC_uKXQ&Lfhi4_hR3
zYb0xIF9CN(FSkfQ{zz2tJ5mkK%53bn)`lMHz?*j@ViZBI?w=%Zh*^74C*+(TNYVxI
zB9%6M%9dEWY^AYFv>!V1n~7ev^iA8inW#Y6STSd#5iXV+iP9oe$de9w?3qF*CCJ#$
z@?%2D_;ueM-UnZtz?aF2{zn?1NadMJnnvv7oK4rnq6cYFdT$9&#?7`A*vzZRQdeqA
z9WK<P0p@JYf^0jZxxIj0lef2b^k@+&M)3XJ9kST$!IkOBax0iay}oy&bFSKoT|mHA
zl1?ETNP(d5Du3^<F&si4yFEV$8<tuZvU^Rdzefa$V{z*q2w!(?rGjkgvVO#l()%%(
zT1{x6`5(R~fZ}iRJQONk(~yFib-)rtMDp+4P>#j`?MR#QwZ}_4QOD$4zwGTYtYL?q
z>%HaGG*O{P7u*-HZg?hipckruFvRb*4}5aRR2zb5(^k74`^L(h=tf>+6P3Ua)p29$
z9M&|Bsa0lnIcJEU`bSHJIs2V6d0X17@GU5`oDf7DS(+w=K1#+%oH7VaNt>UA9;NXp
z{{7q9#DDMEUh?1;N6!KbJn9?899F}YaHHqD8ENsRqSlme#uy*)aB-s%OffzyLFwc~
z1yoW;qIY`Dlo=qvLWjySjrYHO`&Js;#m}#`GWr)IE)H-&d4DpSr!O^o5G{i(vlV7q
z)kn3ekCSZ+r>oClQy4KzeWPl?Q<QltXH%5TxBJ}fH;gU|UmFcVBt#C4H=XqyXgH#Y
zbK-i=s$F?23(M4{)`#mOtfLg-18)tOJIicRQ^bsG>yR!e3x1vCrS@=g8+L0_Dw&)H
zoEW^I$M#9mdHBNm@rDi)vhnrBQw?*t6@M;-h-ijQCqicwn0+-QH3w~joHRGLr)FRJ
z&C1+`&h+FFWg_)im_wLn^J`c<NekkM-7~g3Mp6vewN`p#rX79|w!$_lGXdl%7+ho<
z%V9ekDeH}T6-29j9}w}jFd*zn7JE|h{mp$_yOb4()3a>PO}RXOUN20DUx5VFVZQZ{
z7sS!NasEx}RT}KjQI~INT#=G-Yx^?|6{Z50lY&B2Wv%Roa&4t>Yo@@H5T<e(sBB5H
zux=9xSRP)^?=s6+3EGKsa=$9EBdBA0y_#_jk~cr(tL`2<a5>g5Xj?iuqH;tyfNXI%
z8N6wFK28B!-CPB0K4j5i!O<IFF_Ty8APK$gu{dOH+qN9;FvU~K0_93ZZl`lB(y<u3
zd3kud<N!Hw^?HbFf569cLdgs31&b19gCh)dJhNKfrC#jXWT_ghn8r3nXY>0XEKnNU
z>!P#udhbEXLEdg8L{S~OPVn1zl8~id>$T@!CcOtJQ2Lp2YnK|(RyM-yQgQ1>RM3KG
z=<6!JHS=Z&gG8ak3)G;la8tbs#5xig6FE=<VrT+MQ>ecA%e~Cvo;v)ICDx8P7jp^P
z8qT;!4%+Podswh$<zYo*%vagZr{myMRXqEzWM?-nKHD5+Dh6+EF5l^A@`Y)zgmli4
z)}(k8u>XqW5qW9gT|dzc9w)Y2x)F_5-wSX*fn+X7?cM16(3>%D1eAw1rkKl1Q{(1q
zJ_HxZeyN}?$HIX48_{F<PTE)=TVNc77fqvcko&i<Xe%d9^tY%FS!}9(GRMdpraU;k
z^+jiwku-NDxVT96{){3u&wQmowsrM*SFe6B={=nq7+r23_dZ`7tPj=&uQ=AP__ek%
z|EewLfpQ(P(2GB5@q&_Xzb{epH~Zyu3}b$1K}KF~L1wH=E`0Q4w4Z>9>Unk-gxV5t
zhO5k;kS&<ef#(rAHm4Cx<=}?knbl|BXgE@0S{Y=o^qjWAy5i$ib|1(MYA<6<I!igJ
ze|X7ubAPV)hW2*o!PkK3JEIXdv_h{|+l{)pVEhI0#m(xE(kvVz8H6X7Nx607MjUv?
z^wXO8h$jCWGYd`#R}x4FYoQh7W&JK1mX+t2!J`ud6T-ByPVI(&_0v*<Os&2%VTEE=
znEnHC*c8bN-!1yfEE#{(7wI>^p^g%jSi5>o6lZsUe@%~fDAc~;5oc5-^Q+C9Ord#r
z<@sD6?91Hy?BY#3jRk&@^sZ4jdSIXM5RFX6t^$iRGp_xedRk<hiSahiNKBg?V~Kam
z7=$h~zJ<>B)A-J3azxzj742!OUpIV=%aj*=Pb-Tz2bBR)$ajg3EF{lGy-zgNyOWsI
z#>e*-xvVSq#loX{uegA##u`EqSR{n-Gs}DsPubr-V%1W5zn|m1DvwHs6gAI5;;n@h
zb8gf(-*yZ0<)W^tU-jxz(~Lw>+J>^9t8WWkiuPx`d1#^LLM@sTk5nROzoeZw4B^_9
zXeI_m*S<y_SVDV`A>SK7^UCR=Y3MA)FYpk_oQ%8|=3=%ci_|j<m3o4prJ^;%W9G2u
zq#SK^nAOoZixl*H<PmG4VunMDx88Tw8=1UNkWx!$44em1at}_qHdxn8?fdCn!kG-<
zm)!cO9BV{LQZk+|86EiV-sR*3Mz{MuZ{0l0AKjDHb5|{-%9=#rk8B~$I`x~f#9Jg*
zL5rkAeI-yM9v$A;sKj@FdB}$i9UI29d&%DLHNMz$=z@Wzxl9J_VwQ$Dd#cZ)4b`U;
zW#@tIXB*4r4yA0%vlIG3W4JwIQrgUk*a!*i#94u=J<D^$n5MOetEkh{6Bz-)T*bXV
zfWyt*R|}~QB*GrazxuuX_WoB?Bdj;2;n3G&XO~0j_vz5IR$#TQA5wj45rNqS!T}3k
z2wa%_QUY`%3BeO9&jqZqIuR@W10JsEY;lj1lat`=eSzytv&EE!w>}?N|9Jt(yRNW$
zZ%yR=+M2%qGMM^PmdS`Z$hX~;_!DF<xDD{yRR}S5CHSu5K7WJjN^lExlXtb;Je1VJ
zbAYF&Cuy$}moh;|zL03|v>hZ44k%T@l+Qf}ALU24XOZ_&Z?LTRd7X&em&Gh#Im}IB
zvh^-3!l&IoC(pjDYRO@^YHjclJm;Ysi5|{xcS3G2y6SOFW%QbW2YBv=BNsvQFKNK1
zBi~>(V@*1Sna+9kE>{B^4NROFMVvf&-zdyHTSITRtqAR~1?x_GKhPY~4vVtDj~xPj
z`yU9tF~GFp!j&<bJ4cD1)uvOkC~Z2kOUBI$<P`oA7{~ZPd05HbNl<9~nr%lr?3dd!
zXSK|Q_BFB4bf<DjhcgvSRJQXSzJZYQtJ?&<n!E-;!p8R=sk-l?!`fjHF0*~e+Kz$_
z_oLm4Ey45f`Mps=VAO&|tOq&V`0@V7?!ih{^Y~%Ty)|>15hdT~{$1*kVv*j<E^3A>
z6Rx|3F||6pm`+U%2m?PWOch^%q3@eI&xA9hyL+RyXWhD&P!|oXl=+7+l5vSE`*y7-
zD}*(?hOEP8?Ot@9-nA9xH+<W8iXAL|Eafzq+HLmdAkM<bEx*_25{ot8(UFkeMki-i
zGtmw9<uQ}+0VdLhhm1g&y^_b7WA9TIe@Gl07>IWNsj;Lx3a0t}?d&XJ#S9FxD@k^P
zOgCcZ<m(i{M#seQyK0p+-^<E)e$1R1$qf)Sv+(=(vrAt?z3(FLe>ZG4E?=u(SN*7S
zr^0hZiKEi*Hw+1j@}n>L)?wu4K9<|y*`ojb%0@U&<qcSxGQ3Az!QZG4k||0~){dL)
zT8$ZhmWp5+L7BYbzqPe>ckfh<x{X!0Aml+nM#g*ot?wkDvN>s^(;KJJ5@U0}`3scq
zxKa?r$`1+hx>)d%aXX-;ef7;Z$_{f&v0tC8m&nBgvs%+?>|1pm%Tk#Wp11DRte0bl
zhLdD-?oklasqGWI_(EB`L0Oz-`|^C<4i&T6^qW!@pGki@B%HK8Jf-@z3#G0+zh`O6
z*?8uIrN-2j+{h5;wpS!g%kLvafT&eioXwq%vZwA#@Z|IiTN7TTTW<Q<Xxx`H4s*Hm
z7pTYusqKQ05bZ`EUG5riFZ$93PXca_irb%OK0?4cVTbn?i3q0Y3=lmbd}K$+$rG5O
zp;6ED37qO0Fit&F^7)Iby?-O@{$mgJt-f;A*0`dv6>1={?{BEcTJV6MlwE`EN`PT&
zL2yxrb~~gmt-MN;pWPVkTc-{>4AZH<ZBW0m6DCRxw0Es~luK|)-Pt~fS+I4Olg9uy
z`lOxzTD?5>S$=$p_$tkeb;I%aez-SzU(CP@!HIY_h+kL9*Si$261K2Al$KqrIb!?A
z6n|N%#)3jCsq4?w*!E)>dB0!nhq=TsU(yzWZXsL5cRxSBN?UQeaB1ybF<c}@*)+JM
zsMGuCd^!tE<#f%FJ1SE?`!bCQDxKqMV$h#8*z3$^OZph4cJ`71x1MZdWaDy@J_oVb
zDO=ja1aVHU7?KkF@h8^x^kW5I>%p`wfgOQI`j87R*-WWgT%{>Sq|J!+(BAsX>S|lj
zfyH;8ZD%O7b<L53NkA}s-~=k{Eg{@!>6hdB(?Kccs2|>uyeTT)W}jBSt4=d>aD<;Q
za}`y+Yn>rwAqmJgY18B=Qt4RS$-G<fzHFeDGKFHm=%idmG{>rFG)rbpmoyJYVA8U-
zvb0n+GIBc2&CTU4o9`D&PEMBYsq`f;hY1Q~kEjym<_-ZE2{QtWm@WC-pXEP(44~(2
z!MOT?6$c;8rY)|eNQZAybZS}JI$!m<Tg282%>?(nB&)!2TyDLu#3?f@S%8Hd0+Jg1
zkXeU3Z}ZR&_`;yHL6{?A<tC;JBW7cJ3|4vRFl=-#_D7x*dzDqu%+D*~NFYIByFOga
zKGT~PUENNcv6kl8IOTlmusyoZ{eq&f!(B?{{<-lK%)?IyWoy8bm8-ONr$L;H!t#Pt
z(7%B>uzl$BTJlS>kIId^%sVm)cDlto?@2+D?juJsG(==XottC4B2t!#JFcnA#Yd8a
zjw2h^f|B`Zq(lc}&aSymB4t?LEq>NDB*PkP#oPR5SHH~%%R8klh!c2QIT=%M2d~^b
zk(^Hx2<bhmuw|xoE$<g1G<fDX-n>6|XuL2WaN-}yT=BYaA%Mw`aukQ&Zpe(wtU#LI
zET$$mbIf@bwZIuP{P{)FH0X6wcwOS6gm}%?G_e=9-YY1Umt*HS2rZ9~j}88h0=l}o
zW6R5qivtTYGhxfihKI|oM5U#rq47+grP7l0{5Ca5fy#+!5O5eH6m<DsTwDx4JUnb|
zXUFM?q;uUTQ~)h3=L?&M`KaC7DhaRITm(xh-tn-U8HbjB^<A`T;pZ$aOE(hWq(G)T
zyfIlK+`!2bW0cbzbX1E2RB1a`U)fH7F;2k!;gsZ!C$Y4DTsRh&_857QK&p=@S~&4R
z0e%*QijOZvW5PuVA_x+|Iyu3u%lLVG+R^leH)av}8d0i;!LB>503%XE(Q*g%p0j26
z=FaL@OgeRnJJtwEueGq)0W!0S?CM~tBojS#S3?&TSYdbtTpd$x$~O@<8nyyT&yQnc
zTM27RcZ`;KB769H-wQNlK2o8ungm?A0ArLlh?ns>rq%XA52aQjDc%9K0RVUNKoNBH
z^pqMc%LHBFd86O>9<JVTiGztsvH?f57~nZ55@hi|o&YQzikc@-mxhim^pXWcBjK^&
z4@Sldv9TFL+CF^vfKOSO{!Z2L28%+cWsUkAa=tYvT~np4D9cp^!5iG+h;YjLuk)@7
zof#1rEPghAq$K-=BP}CtUHt?>q@6R`D!s3)tt$E{QIEC2iZdp+?%nSyx`Gr|f9U=G
zx)<hT_WHsw6qVXiSRs2>x~#FaNQg>kp`yIz8|v)t1Y1@@Kh)2h`<{;qYR)wcEzUKh
zY~op^`MO`q{37k2ExwfbM?#NYAXdW7W;Pi!mxLzs;OORL1tRpQ|HLIK{3PLvD;`o$
z=qQaO$W-&S;vr{2Ui77x4C~L=Lo~Dr12k(j0^>L$eMeE_i~kzyN(i5`WPPs>bsiwS
zqCARiQVq#_L+PA+0Z&4<c6KqcrV+#`vg_SpXcCy>;j2F9n{rf$It5{9#C(CRJ~xE!
zSljfn)GmOTJ$u}&lB^#kOH@UR!vc>PfsQh!!q571r#c<7zbER=D<KxB##!C9n=$tS
zxE-IcaY5lYdeFL2ZaZ9gZ_EkFaztdHA*`Q%jzI43MwD?0dVHTTsko|AR7CqBQ}1<r
zlBN{TL-_iswNP-JOaWhgJb1<~3F4SU7Pj{m82#dajAn52&9ts#pE1~O=hduTeK#R8
zFi<&o@qrC)BQAlc6{<IOXLbHjU5#nG#oK6j(rFI!9n<rcZ(}enw)*=%N<CvtF*|G#
zJx1I_wJg#n^cI;kJp3x`NVE<cR|3lFWQ^r)X|u>tl@&q*^}p=MG0kr-j@X*oX7QlB
zJvJB~O`I~oBJl>4s~sr`7o}>Ci{aOPk$tiXIopt?uG|x3YU`rBUM>$`>fvp_Rgy5q
zRY1~_u8PeV{PxCI)b=jtZwt=e6I#en{*|ZxZzW4;G2SU}u3^{C%>Al6-<Xb8NcRy+
ze7KqLv;$=P*ULXDgX!o%Vqsh~3TMtL2tHLP2rzAF#5w^8k~NKwnt?VCEa_6C_L!_Q
z_h+_Lpmhc`Q2P~bWK^$+oT*jGx8VEJdgJnwH|Im;32o;*RY`??QUOti*1SS=PoGWC
zqNH-yxeN7l896>JNo}6{>U|?wv3-6k^!AzIZl}q`W!*K4z>Dk=2``2bjp_o%8nMpI
z#{$ni1TDYRmyWk?!nB|jm{<;wh}6(DG?)sMO(cTu_>&uNQs~Wq!?ouUHMz&t5(Wy;
z{+}vFox(WBl|L=UH$Xx7CGE~>e>Md&TI@zt4j_kVO<nFWteMf=zt#DU+;lDR=Y9c}
z5*)K973&CvAw<6J_DFn{!zUg65qwSQv&T#M_}->ELssY5pG#-;I(^xvfu-Y7u*pwp
z8rmspriOKSK&5vcV2Ar8<UG(YEpuqo(=HHsbP=vE74q~VPA+&)MQll$RSc)i1H;j_
zzrX2w7qKvz%AT6hRr{UwbZ<AVqJ3WvC`PGLV)F*HkaD}x+Bti6*9%6krm2dBHGePt
zCo0rJyRlC8kC|f4MuTgUt>s<1^ng8|?Q?~d=K40DoyME1){F8UyE8G|QHuz3To=8;
zX$tawd>UJWx_)CeYsqq_>}5L@kd^@eWIx3><JQ;<L%)wsaCk!sZ~`9vKP?mdVtV%i
zlT2L%GP^%81!+^q_Dd2nCsTajnMh5z=o_ELPSL6s)@ya__aompG3KgYIe8v%N+}(&
zWV|#=WF0&aoqIkwX)k44H##beZq;7sZ!@}v%FJgHX7ThQwkeYJ%^Qf}kOuxdB%u`Z
zcsX<S&qEYSf{}=+ByN|lm)X=;)*HVtYoPdaD@&s^tIEnG#DU|9ic#R`%#$ka22D^j
zaKa>0*d@MeS;ueQJa=_<r9d8?v{mCXgGqa)p1coBMIvEpN7Z3bDbtn6a~Q}o42`kx
zfbNV}<}#?2-dUpLe44Ng92MLVR;0Irh|(kQj;hz6AYks~;N;nj@ROT<>E>i)?*_m*
zg85ekc%-yiQDF<zyl-8}DsXrF6q-_ZT>1MS4EiN8GqZit8tg`@FVB{5PyAXx7+&1A
zUM$|vXQ})zRM~4nW3oTc_1+j$5cZ1tyO7Mt&=M#uhLNC5&Ca3oNNx_#^E%Z3y{tb)
zpakSjyS{>CHE+OmFQncefmWe~BhB#BmDlTkX%=tj5TiAZYi^6{jfJG-nfbLwN*&^i
zYaP;cEvy0^g50P#PGVngI5-})RP$6=IDeioGx|j@#Pl{xH<rZJZcZC(tIC##FL(Eu
zrhhEs&^7S#RLgh|*DHBQMHAWJbB#!O$)voau4ui}Ir8K2l;g+j4gx-2g#v1<yX>FK
z0fv=VrZzP5ZxZ<17*U0$k$F?_$pBRlwPt!Fq)ao5B&*|v1D#0Yc-(m)TENqT$cO2b
zmFD(MW9zWLoc8MXSAA!aj>6xs=FbF@rY-P=nV@)_l&GCU#(T89x6jI*M%QGs@t$4u
z5CVSTO17pJFr_9~Xz{(dIlD9YSu^`W&w@(dr~PF(o8lSYf(P7O{(`K0J)%wnnlB8{
z$g>4w27)Z6i#p?GN{2a8(-+I8XTr@;Sk)eil%3qh98IHN9Z%rLAa6`SY_?^c&sx=f
z-PPw8{e<Ced#Rhs7cE#W>D<OB;*=6=C-^7X5CsBqGa_U3npeLYJHH!3Jb+!O9svl<
zSq<ZG1v!2~eIUcCZkQ5{%sovasm1xmj09Bo9^SmeluUmAbqhqvjfquo(HP!25>XdG
z(rwY6N~}ZWj!Yqss@Q&$uP&8oPvf#w4x`%^FyCM?(@)n|uty!?=9<m~&CKx$s$+kg
zTq;f=X)_B4H%357(7Tg(CJ!6v8~YKp?aerbH%HM+LHtY>>gf>#*-44SA~neX#Rj6s
zw({CxIGkT~J+fZp(o~pB%Nfq$TA@-w+zIZ6diRpno#fvI0s6T;(#tj1{o;R11e6?<
z<Q|K4np&$MgHpaJ;czr-VV8IIbY)j2dJV+A0)#e#`Jyy+zohfC-~EnCLNriBaK;hz
zDK=UmL|4E8GD&Ra)miCN#GC<dw4mGMKii|y*|vV$_D#NIVkvHD@jow-gjW!67HDu6
zb`q-h985TF4Ik=o*rYwqiw`GE=(+yNa)-^?SmM_TcU(-Ihf=Q%r7VpUbyI;Iw-kn@
zR9+Yzapb5((q(P`0;^JOF{kn4UJtBkI{h|QwKZaG=Luq77l|co)sys`bN3GvKniCp
zfkod4s4g<DIS7j*4pN|;l30HLDzn=cEY-Jw3M2i6g7I0cvVJ{w`XaZT)wNgdU<9!f
zhN0|NjNCYm3_7v)H+0vNvEqq~azxw(p068|eaa#ZG-J0cf64(8EwGwiBaaif$1QHZ
zwZ|=^40(!F@CQKgL$>*8t24tb##0B@vLpDOyvZZ^+pgzIr8O#(mcc^E1f5NGjQGGH
zt&-G!vl2bylA=~gh9G;^Ee8d-bJrwUgH1mkej@v1lnPJiU&$c<^}Rt&dHow>d8unt
zQHoIjtT70ge9$}sb>8jJlg^MQM42-AV<h|%0vA#NN<-$wthONs2CE^)W$;(O5U(N=
z&RJFK^(J^H9KAIxCH;CF>Dx{}Ky`;^S(y8`#rnI=PZan@sw0XQ)r~Soac$%mvE^&*
z0B^e&@C!uFrdCMehBq&*i+IHTyAJ|T64x8KQmr#U)FK-TgIE_4@meK8vg)vQcD01q
zbGsHaLP}c@_RM1&@b-OA0Z?jyL=`DT@6P4kdES-VX}A(Glt*3N9DUfqmAJDaO_3Q?
zeZfb}d~eKHqBFCdGBBW|rp2PKV9s7mi?0TPw^LC?DC?}gDlhceCM;9R22J&Iw&eNY
z?%CsZyFOYoo`{?2AkE)uZ<jIQP|u_N4pkjLFvjj#HBm}6fBw}m$mek(gv*$lSs;vh
z)UH+^Q)D$RhY`VSKs@NmIqn;}D+&Qv^q-szP?&}VQsBBu^HP1f8S@tZs<o@N$c<U_
zu0zOQ6km!qr&BN(!~7dP9f6~7v>{jo5mXhO*-QM^+CS^66fian!;0M&cD7%T3W8uJ
zS`9|`xHq0bQHwqbZhpO2l?AOXUvMyq_|q;c6*$}KU_eWov)M7+Xb@oSO0(CD1)mzD
z_$rgV+;%#PEr!z1_76+Z?zo6~{?rC`GFE{gw4jQz3N%342E*BS;C69r(lr0{cIlx2
z>1b*Pxh>xRqyV%~7m_Xf`avgT$6b(LLO_fTBg<`$;Q1|*?f%A!*1_<)ulC;&@I-_*
zjBID+G@X?bdx!k;sr?C#JTc#xxU=y)tN=8skk&!BU5r2RD<8$1KsWR#yg0XLraIoE
zpiCYFb#=%KN^GlRee;FQR%pLyBQD>_7=r2iBG6UJ^veCKX6`52mg#E=p&5u<WRHil
z?WS-R*(*~nflt5$AU3vz7+WK%rY?Awh9|F$1eZ01jx=DhM@!LPS)g7#5RUbn$7%=v
z#j2c7fmx^u<Qg;%bU90vD0uhMo(elmn1C4SzKi+uy)dMD=cZ6#lXp9b(<3=5_fy44
z$sZve;2ltqv|a>XiO{kBwk4|Iv}ljoQF>xGM``V4DScBR0TWxL0aKEUOkae2Jqb(X
z;DLHi+=^xKV~_G3hLzW9HHF)r0U{_^)+4u&dMIEIJL@RS1mzu(CXTnWes;opZIW-7
z8bogm@**0sJ=ZdxSyZyNjhYi?kLQQN@FT9xc-UhicJcT5b0w+5THP|VOx!}H?0{fu
zjD<PY<CbYY21v<h3BJ9v{z_Y>2lp-Wn>=t^BVO7iXEfyi;mcj__%qO#6RDr{9J07b
z(+ywqe#T!WOb6e1)EetGv^0cA_9%=q9{`FiJ=`{>_6k6=b}7;D6ZNwxaQmS!(q}$<
zXV)aoZhNfa7ly_~;Z;tC@<(=6E83<iS-PZ;gYforvc4t~e=%_h%oX&ai_#y`pN#q(
z8Um{|K<&o!7Ivg4Ax@FJoqUoQZeyWu6d8sG9&7&A#La6~I>Ok%{tzbccbEzE>RYh<
zC_vOJkvPx)Q@Med^n=Fn*Raaeb!XTJMdH>Aty4h$iti%Skzb)sk2)FJ)!P$}+5WVJ
zmUb`2Bx-)ec$WaIKrJh?j00HzUZ}kk(N7@kVi#+E{qH6Nn3xu-cqtSRXHaDhuZ=*s
zw(*s+BIr&xR9L#eSSwTuL~E-;{}Uhxp+LE?a1;jX(c?bn@gt<JAscu46spbcB+ANh
zxll$Camuw!toABgiEu%PRjQjTSg0o4)#y_s-5n!4>we&VaS8~sf0o+ZrcH<oh&>#_
z&+6t~Tf9YXjlStvKgV?%XaBTq!6Sypi@=2Ac@)jGtk#Ie?f*nu$**=GsA6=0f36sc
zuO#E_a1QOLY$(N$1U~AwQ*^G!V%}P)<n#@Eg&8cb@ds^Ly!y7(lS1Ns)bJM_(g)Ge
zktYm8)gy(?6FGmJ#&R9!+y1(9)}GV!GORoH=&Hqyb9YimSS407^*`W214})vDc?G(
zOt${Q69$QafZx}WC&ITbFcUj`^!<L61-r^PghrYq>hV)p{}FUeskY!_Ek2BcOVgV5
zJe-{uiTxVwmqEMuz1F}(ZPtmIWf{i;_>kEe47o%5Ikef=whEAodF~p74^a;&je`_P
z*o>^EJBT{ro<amfQVe*#8opVtjzgVI&UdoPF<7~t*c}uLX4NXg7UIj(Hb=g`I<D*6
zE?5Gju*M0%y>5E_FZ`%N$Eg^fne%L3tzJC}vhh?0wv%S%kx@CV5oe06^e~AV=Fnfb
zn{2eL^p@-F{1XT}r@m41W^Vg=Gk-?sAm-c5ADDB?<<E`Ysd7)X`&HK0Rw$Iw_4Ti%
zERX`Xh;LzkTq=RiVZLe$DdEpyypL}8YJ7wOG2!c*w=0x>7hLDAld=Z4->jn&M#oDa
z@g@>3_1$;oQwZTkXPhzRUH#wI&vw}g(h;_kCTr6AHoCs8c%H1!zShqbh_iKqxt=2K
z<y0zHWm^V1By75thIMT9iruSS5Od+u*P199zY|eM3iWTjEV27h&A%^POl6!y=#}Mu
z==8nYHG7y($!Ps-{PiL+aqo(sCo0Rm+Tn&3rW+H6`ZkA3y|jV+-xORY00l2hPc5%4
zpFIObRv5y#E9PRm7_?`O8jNHU>Gv8LR2{x^UgKBsTktIVsebzqzm`D_#KG?&tU@vC
z=y_Z0m?iG+8{P|2QIn;?H(7-DQ9`1MvokKSH(nNuVKOYOOhi}@<TTeXI&kW8jVUKc
z0QK8<p$D<X=1OuTb+GwG-tUyXmCTW$<_-%Q5Dc}DifJdEYP<8vC~kK;hALnMur!d8
zerx@a3;tjAEU)}}lTS09+~Fd2q(K%nlWk-jR$+IN=Ls17+NlKmbS*vGqpg1Or4?@p
zt981^P32R`rX}z%4eu9~U-_k<8;)H%@LjSVsKQco5kU@Obn}Dy)~}k<1V<vF070xe
z^>LAwOSIh419oDGkW{Xz&U91Hw22an;rT4Rcx4PF8-Ay59=T5VB}HyDC9gaDccg&0
z#oZTDW<)<NxGU}kBJpRHsay=GO~VH}jnOq}wI{3ep{sDTAqzd0)FmZn+<6mvD9xZw
zeMDtL&r_mY97N5Y2{mb)+|DqGXV#<FxW)i$+*q9Gj^jR`V;*1RCPkZTdEP_){`RMf
zm_8G;raTX@nn99-;no&llNLAX7pLvko3=22ZT%y@=!4v-#&pQQWF!kQZD#~oq}kFT
z!cj(9twHfC!6(E^A%S83{z9yJ?;YD59j0*pD%d)<X^at?qxQ=XK$vR81u|!Ch-mx5
z?sr4mXN8>z)~eASNEnyH#T9~Fal$67Ip43|i`-}l7=1==Kc60G(-u0_S@h=<jP2B%
z41G8g75lnFJW;Pqxdd+>3hBM`A*FuJb{v3Gw~t$hf{U1r+Xg>Rf&KV8y8ddk3L!1^
zB|Y}rwAA&g#!5zCbftVASq<O~fGfmz*Fhiu9)a`B#?abY^4T73xxX!9u+S(kCF1ns
zC4Y*!XQc)#R;3BzF!$_RSA4;e>uv`taq&NpEJ#W5%@Hln*{aRtzkT^h2gTo6$LVcn
zWrn{ZI1!Sr4ZY)px>~&e6MoU{u=ZX^LJ*Ovz*Cs$$H5;Og+3^eid?*M#bg7vTbHtP
zcg;2x#YmBcEv0WQ_>6CvD7v7UHbOMYf=xy*QhJ2=ONIU(CQ^8<xM>i#wuPeg;wv8q
zMy9qriYLoZM~caSY?R8pc)6~|4IMs)gZO%mbG}p)>Z&lxDrt=JZP}1T97TOClb@8k
z44l4Eg9awZBP(J;L?C@r+|=IDRr4o0dJo<_iZLmdIWtef8zx_{!#=vD`i8W63o31^
z>%0LYu3AgR<8;%X)!tC$xntcFRza=2ZH_?UqqqA-U7M**HAeJ-+m^Rd4BiqYvsUeh
z7B(o$C`y&7Ui;V@fwKu55#V+wz~qX-X9L&^2I_BL<kby5ColL~=rG600J}*V_xAfp
zkvmqAKvmofYi*{dkTOSV6lu@GgR;=*C%1Ag$exzH1a)SwF{Oml9I*({I&n%rbPS9$
z6&!z4IosRgZmDzi%~U7BMGqw|y(YOL<cAl!#d>ug-}|Ioa<WkhUSF)e!IL~T;h|5q
zaFV5@+Auf>cfR)3a}z~z6SgVMG3_UcAg{|4iC40S0+o@@3&Pe2b*rk6uc$b*f7VK`
zFX5}`izU1AE>5GXV_$$`DU$}f>`KLGGePFQpUOF%1%<vDCkmat;W_Z#jU+qGpH~uk
zF@)=-cSKv)_eL}?)0X$_1>0TSe}NWY(sdB9qpjCqN>Ly?tYkgqBZj?~mn|lOYTGV_
zAsC=3iWSSf=(@N6)i?xD82*p31+om#mDFV=&hukZE9)527--TQ4FX9$C-nGqRdAP+
zk)~RWNDI4GErmmJ3y}qn9Y5TC<aVn{TTlW0HK)lE58sU+(p+arAF6?j<tA=?^rRj?
zqTOJ1h2=&cjYJI~%(K?3l*HJ+kW$mGU9&*T+@rBC+^HBPWZS>cdTGPB)^&X@+`#UI
zL59*6@*Tp*D%*fNqg7LiuCji+Da4}W8!Pb4b6CP}>FYS%cnG$E`wfzVxT%2yV~3!p
zRrIg+`GtVL^EHaDjS}{GszfHehbHcMZ;3N)m#iB;-|^7)2e>+W_!}Z*`t*8PovQTl
z59dlBB!i(H4GiR)f7j#y^ensHa79hl<j6X&S#t#^QK_{|)xUtvf{f}xL!z$HW2Zd#
z-ZEAhnxGu}nlRc>n3UTT1M`NBjWR?)c=19vM0FK`4@0o;>s2~a`n!21!#*!S9kgkg
zI0^P`(OXUyH^eK!0PfYBuHeEJR=IPg8i6sGqr$qxumBc}j`J1ymG$d$mJb?-;E_{*
zpu^dzx=Gt|ElogEh?zd)SRGv059>j-o8B4$r0A|TT}K5?K5L@$qLgymr|$lP-#mvs
z?C-aApVY>9{$UOvKPiWiEF3VLtsevSv}vHJV=?_h0`T)`RNUF9q1-CU9j+Ez{?Y{U
z1<jbl(Z|0h$sQeA!GbRWby@GYbEFDd*P6BSh3SLCGxXOz9VYfhe_geQj2sZDH$U~B
z6_Y>6&G3Hdo9T$-zE9lYQqqu5y=HZ#;zvs-;SPj%8H}zm-=o?k+%J)d;UcFu>f_&^
z`XP2XMkb(+X!U(bgB)YOe=E^9tfrbn{IRqEcVxuOxsEIdMAbTZUIQDAVC-s-%a{P`
z0SMGTwJP=PFntbpCH}sy2<mN-?P}m~L44jx_v-#(>TyK@JlsKU4iP_FIycuFSOQ%}
z{9cT448k|r7U?`U?tisa9rSNtZ6=t(mMcp^sIuA><L~>v7H>G2;+LyHWi<h5vFFv2
zu+lQ3c1_&h|5Jeqy9gu}^`V8gYhX0pbA;xfd@7j{PkesnHWKV&3la739X)3JHL%39
zgSV(*!lCVFkA8tCD-k|ip!?CwJdZt5`%1wz>qF?OOGQ)-ilu-T>HYqjR=x2tGH;Sh
zmHEB#WK?CP6PnIRrPhIgaz<I%d@2bINVl_Gu26id)^qStnYb!LczG5U2(mrSvsz*D
zDkRcW!Njq|eql#7=_x7@71G!HaZ=JQuGeOZIl>>$X3-t!EywZgr8;m5v|MIS84S~L
zZT{w&DGC6e?K@BD{!26Va?q4d)2Z-h^KC~BV}c(?X}8C+6xZ}u5C~b8yN<tR6vz%?
z{b&X?fNqW%{r*!~%Nv6b`o_U>aqDJNh7vDwRCdlNnCYJKt)PUz)0eS)8BZOe1QW!m
zzj@k7L4W$j9ezD#3QNC&r$vMDF_pM68t+^;8eWpV<~=G#%JA*xS>-^1MG|Pu^vkIj
zAI%Rwj^MrO6LP;}=7yKcQvM7fJ$RF{InOjDH4~N}Yl#@GVC|go&c8EF%!u%4YUPa`
z9{Q$SW99VfwvJpHLvQ0pI!FRoEqR$un$nNhjKGelH>Z&Gnk<@088<Y(eoOUeHbzn)
zChp~OR~U>_L9IP&j)N}>U7a6HOb{+rz*;MjoQv@GJn16o;~zS)Vjg(lX6VqR`@i>z
z%#s~Kpzq8V8|7{8_{sjf{=Vl7U#;+*&#%!%TF1l6$!3G%dlet5LRPJ{{_eB!@T;_5
z8oUtG1m{+F#<uCz;@VFz0ae3s7fEuyJn0>Hm&|P<xV@qi-US{k5isu@KfLo?-FTpc
z^<a^6u8$vC+qXx28}XA}X|kyRywmf<fYwCMCHM_DD%7s*zEXf0Pw_RjLgnWfs>vEM
zxG=Idt7m-t#vqLouX)wWg7`=rIO97)J;`Jq-$(+BEaSxHGty1kyP&#m4X_lo|GFmr
z!Hg(v&^kiXks<9DpO;?J9~72Dh>~_H<1>n^^@BM);HaYQDtUdQ<$N6)guDp9+hg|I
zf4s)BayGfdp16!B%^}O{J!7f)47i=FaTmnZhs>{S;b%&*@Pxl$PU!zzsUC>Eky^jX
zD?9jC+yMT!o4>#VNi%-TZi>66pzMBr-w&@Nmd9T|TwZefTXu2^W_TSl6iZx&eBfU*
zGbL?yK&cu`W%D@7_#3H&vI1YXPI(^2zq%3;dYdXuf;GoaqUkGsAF-h5cmpS8#?T6(
zE2a1~QOwu7F_l{vLQm`yKd|NEP8pPYE#u6X2)1&q(OUndu?H625>mE9Sa?mZK-oga
zIw2nU>5_cJd%)zt8)`X&jcpt$tMm)mnO;pgKG)&vNH<six?##*6>p*)JlcfJ-1W+L
zJ<=(rZXlhjlebvtb`b*Jn1Y1F(F7xejW}S_M{A@bF{M1<IW%gP^<5JMrq*4TtoerQ
z&cvxetD>a`9DoY-Gw-lj!cdGBuJLMezVQ^q({y?IfLQ7V#Z_#1>j`41;72I&kRz!e
zzZ|Cj$`Di}fc-4a|2p_D+^a&PQIpeseQ(H6)J7S8LOdT4u?P2XH$dX+--?&yit(^L
zgfb+(A!PD?bxZij)9u;4W=aEpaF@R{NbLFV59vU}(q>r5=*`gd#(1`nA@H9i?zozx
zUN+@u4p4&PlUTc{he0}3pk^;dm)cm<#$CcrR8j76@uKZV7>E9d9Ru?qgwww|ybQPT
z0^%@Tn_EyRi7l#gyZ;bkugPUR`$KPS`5v)K7;jfX5z7K2&&JicKKz-DO5Zi9J|UCD
z;?vo>)J(H@?c74M!fsMAx$5!vt_!7=j^%x`K2=!vx3g}u2Jy0Hxm3moEiwm2+fpIK
zcC4$O-GjTi2jIQ6o3pvGld*Q^lu=Qx?OINZH4S@Yhb_f@h4%GUZkaK3Yi?Z{)5=*L
zS@y!H7`!`~-$<xp;P>se=+JHb4@U)+%6141qj)XxEsuXf@(4XOe8xA$4i!Bi?K<(1
z2@2u+hG{0$C6n`V&RRlEMolMi#pW-X0De{m>?R-0#CL>7OlGFZx<D+kR1(3D%KAC-
ztDz8_(PH+|@U@jIJr{R|2uEo`H1<7%$P}!hsNSv8igP)JBpI}w=lD9DQnB921?9AC
zT#PgxxDfr96@td4)`6{M!6{hv@lhP<Bq6d$A>d}y${{0X3ZSOzM>^rycY|kwlBP<X
z!j-b9HuUqgh31LMzQ#-jU*^ewEURiJOKvVvJt_$s-IEc14EM2gG^U@BFxr3`VjVK&
z5mB;BItVoYX`3T7cZaEB*$2{?$uKns=5gm?fIMvWu>ih#`nN}cotVx{{(p$e7zvYY
zJp~`6L2_Q$T81e2LtHzJHvGd&3b`gjX%!J~(VYB1rsEg_X*0j)Sr#sh&}b}=x7N!a
zcWeIRIV)bm4sApemv44#d@=Sdn2xgIAEtJNkQ7D+{NjwOmobH8k@kp1f=EZ`Mml+<
z(TE1m_)Be37>i!SIY?Z-&IzBSntf2+_n)V%gTbU3GR?<#aN7TvJ&kp%SM2#<eh_2*
z_BM+#DfLNyUJaSz-02yZG&9=ecB&^0TU8sKf-{i=YWgBVML6eK5Reo7W}Km<ue!n9
zMUdf%yHq54ZHKIRO6=?gp}0Hz%g!mNPX<!)%<Rj4N1Lelh7YUWSb#m2F)6om>Zk*0
z!9Sem*>N_>5h6~ifjtnD%=Rva9egfcN*}p+RSq00Mit<uCR_dB{%d;hyB(o`&=)Zw
zL>0~&GisU{Qmi7hr*w9x;~V8gh+@YQR+*0A7_GQAW!}{AWzopzhG&i@dGGDN4ke>v
zNBm7BAsKO0Z;pU8Zb0F97zqXZQ_?j#Gc6|M6A#wRYg{WY<O@~m6sb*ox;P%hq4&E@
z!+jeO+TI{E6I|K?*F(OMWE`nAu8?)#572c3wAxGl*lA46qP*anZT>i{^!x?v#EZU5
zBP-bVg2XX`zflO%&QujKbQI>%`t^G!rLTc@zAb!lo`edoJ;GcXj^Vf<dZ)G*Xs?lT
zO*C9`DX4FTm%uT5aW0r-d7}#`ye;@ci(S_c7T86LSzLQ7uJbw{t>W@O$&pbW*c}|u
z_vF|AJx)`FzQK&QUqw2jPG09bhtgv2L>>J?<5N#<<-$)APWyH@CrwPKmL79OFQV;l
z=?h#vX;?`}vigoIK9;TDEY@{FR{!xt2psabrZ}vLOAd~b&SH=h+R#AecjA}Ua_qyh
z=Iyy3SymWMyQNy=U4<?3M=OB-yuuErK07nLJ<Fz5sB!rUR7pL+tzh;kqfm(ocI~|0
z#9}vZ8l`gElc~@;3bk7y>Z3Emj%o%T&7f4yntD{Z*ykC3_8SoMN(4n>^d&3m(oG)k
zcUvRZ=J{MRBu#sb0fShfQpqm*`H>|ZiQKU~)>B<9+=+g)Ud_Js!w$1mA>S-pg+pW&
zLd`uBl;>f3o93T5z1#Aq<N?f35+ME>m%{%}!EX$v4LYe53ZHhEqVHLkwX6!|V`4;4
z&{kI7*(ro5J@Y+fO4@>^OK|>etS2F~0-V8Hi6aKrwb6MAX}5M`V5}_XD~Q)aqFEL@
zn&?`Q%52(d8E+2A37!h#?>crW&{mJ~*&<h$tL|=K)f`i>_nJzh=ryk3B1qEhlA2|#
zm`_wN^w(5ed=o^^{Hrp@w}xa4kmDDp9O<SVV&TYxwL>A)ndS0M<xYq~khU(3h0RIS
z$?i%r`DxK-y_zo-c}3BU_zz0N(2S^4*&QVgE4`qzx4)^BETRCs>WJ5y)`Q&2?dwEu
z@lG8_RVt(E0QYFauFiR@HS_hBa$J(`^7An*V1tBSL*Yc^eoh<t<4N#`D;C0qy5O1|
zNZMt%!}JIpbP*otqmAsr6lN;sz_hS8%MpObnmt0hU0o~upKy&R<OP}u_$*SFtu9O-
zVq!NYtDRcNAtaP4PLUlJ(p8~<`B~81SEwO|Z305)vCWR#zv?_IQSyRrv2I;WEpa1#
zH1|hbG<}_SaG>JN>$-D+48~@Y5^G8Kox#3|Za&`Ss6$Ut#0W2QVO|0Yp*VeW0Jq-T
zXsMz3Sik^;+|75T6<rkQulk4PTn&nr36dWETIl{h2yS)m$h|%oj6($CPl~>XJK*JB
zbKmH3a5Z+UjOvC{AmBZ-uqG8k7hRDmhxoVQmGT>GS#(TF{lob{v5OUtbueG`qG`Wm
zjFSgs&SZnH&bBf-nB9OK`RI=(V4D__P1kOTfzjwG@6cBGU-<)s{+vMKsLeELfs<uK
z#0uY>ZK8n5=D;Uw!YO~c0eel!YA;2aYVFmHU32J@Xz&{xv}Y+jbT?9XeC$XkrwcO`
zn!*5`u<Wj?@G%c0(dU7KX0pW#N%2%Nz{aHLQ=thR+#&2ly$Y4r@eDmRovQQTyE*iv
zg&1<d^LknThxU%~{!RC=Hk6rTJd-P}ifK?2=zdl<`lcbq+c@|#I1HU$8i!S#Zl6Jg
zS@~CcEYG0GB~6(bv7fW5ENRAx*jIEZq3Xa%s*}~=&UTsfW+;dJ*2O2n%IfnMIX1rO
zC+~0^=o^$HRO<%#2IAifGCJBS@HT{TDT@B?uPb1xCU`2KHoNQo<xD<z%wxpMuD1@?
z3aPCDK$zF-Vo~W5ITl8Y%yyB5+FC3jre|D`Cm5~#ntavG#K)m%yaRNRQET_JOzz)L
z@Iwf%u_R5J|H$$Hy5?xn*pT}8u_9CMkXWdrs0!`_>zA=^*>yu{jCNs65H!|Os}y@<
zmT9Fvm#`>Ccg}mf>+uc9tpFLd*z!`<x0QbHp}k`(g<K(ZIZLVYT)BN>hcIKt^0529
zoA|xvX!{kf&0W2$%n|Z-beZiD8rtS4a<@moW9p`BydpcNmtQ;hT?Oyax-K43?T5!Z
zUl2l?8tCPg)Gr>|CRbg3YeryP-x%q#%T|Z^hfmY93v9R~U+At$vP?A2`WETm>kz?h
z`Y)!p#YPntkLlE+F>jHykS9pMVQo2-uj22cm(6<GNc}eKVdAGu_SX6%M*R<FdZWkd
zIX{x(q1N$|XAgI7)NJUx5fCy+faOkam(`HjY?er*37!uR-MkrfPlL^x$2D*`K5boD
zSC{=qUw!Uqg_X3!I-7Q=&!gJp`s%a8pZ2~m7utoaI3*A!H;#@ir_cBkMz0rbt)PNW
zWUd<9lcgCUXS9HSiriTjX(q-yrdOu}2G|H*#2?f?@JQ|X%$#|aTiCo2ingfYJ^s}C
z6=yF}cXNj}K66*X{SdX3jxw5wRPydllydR{T3;}ilTytgUzhLgE5xB%>`cF!hCH$h
zD$ri9UHZtCGjzKCfULgOUb%QtyXUw*?25b-$`LIj)8+{^cZRV4czuq(moYA47kwo9
z8JgrR-LBRHvDA8tiD*J!kD7uWV%V@vbV<}TwxOJNZ@||#kEheSe;6K`-waRD_;lMp
zAfYV-joOSNBjBlE{+1ha4|(yDCdV**E!E0t70;?{LwuBt#T|_zcQ6<g8?rpkQZv(6
zT5crmRBCqNHuaAZIeuw@OEW7)9>pptQMwwU8qgR6U4_KTuI?$609sHqy}5~|6`{Ju
z!cOb{@Pdz@w0j}Rh0F605|;rJy5bU@&}U?aVC<1j;*JPHR&VpE{N<cx{P<OsIS!3g
zVLLu#j_-`ooy>Cy9p@r}Kv($#;1z*B*U2cGO(x-ZPMf$#Z9u!5Gzdzv@(1s(2Rk46
zgt%j~c2bI;X+_GJ^f$GgH?{$J%M`2gbNFgGg_#S+2Zx%cZv|}n$7PasI&?X9zBsMb
z^+3<vZ^W+C{ypM&kO{I>8D)BmtG{5_;zy5r|Bn*ftR`Al6klG8@V;Dd&bubqaIJPw
zZ~webzptI4f2sD$Uh4P8g4AY2{`Wv09{T<KT0R?7lFknsev@k57zBo#+I7nn`ZCu<
zYtu%z8@(|1g4(8sW4WrvERp|x4;5&mgo%_E^nC4tKnqNmC;7V<&7O*O`A%m?w4x(Q
zbnMup_#gFG><NRZ*dMZNonf%%X>4?Tfo~l)K!WgP0)g#^=TLUf2qJ5Xk?u8Xq?gK=
zkIiRnq7Vs{4sAoqU{G)adLcKI0}XMhOguqT(Bc@kxwPYWq-iLU>Q_bT_&6B?x5ZKG
zO_tdo``>9N4yM;Wl{QVG=f*T$jYeX{ONOftg&Sc+It*PO09IrUaP$uxYvq%pjC*jp
z+0>OK=WLEDMq(!qC_}}TfSe!f`7^aE0M)G0q>v>-mNe@~?5z&bZ}t&TnKY$gb)Dw&
zSdNPV2g%+9x-OuzD&)T1rb&d8GZ={Nz<c_JB_Vq2IS$zKTOrDXa2FareB>^9b}2x;
z8Q*Unedf`q4?F_ZE8du&Y=+&06}yHyr@w!}&p&%u<T+C9x!#R6GZ2`Xw0MW02=>%F
zR)jUHMoNp|%!oMQ*7&5l?aB&nOiN(N%<kH#70nzb+&FROOIsXuB1R&0lFKf^{y*m4
zJE*CyiyKu0QB+X6qJV`Wp$IA<CD=d#0TCtij)*{zl7tdKR8+cj5FtpF7J3pAdM^r6
zBtQx!G$DjuL;2$KsPBEh_s;$M&YWTPoDA#iv)W!~t>0ezNamxe$;8@yyZxfteJ$&|
zhyo6|^`D-@gBzW|o1Ie^9;$ROI$P07KbJKGWmH%^##O4phF^T?IK(lcrbiFf)IAiY
zD44zbX3$^<E*`>Y7nfAP1IqCBO5`qzKGn(z`Z#&(S}Vb&X?o;wD4)n^EAy&-rzE>V
zq4@3MC%qAAasEw^`LGKp*>>|cHBHC3qZ<2P7lz3T-ke<?ksZe*FHA?BTacBMD5!Ba
z(f7&~aR}9s9c~(E3nX)A3za=lA|x<R4AvGGTTwR__UX0!bO5>eNqO3r<;NLs<2jWZ
z>BpDw)|2XoLGMwV7K-!inJfAa#6)G!CEwhj^1v0B@re<APv6uuFL{Q+T<yK<$z3DH
z-giEr9$k@Vp2Z~(#<*BpuHQwdo(N=?`PxKrV`e(ob|WpmP+j=Ur1}lU2E5HGJ$4!Q
z=q=^&OJoy5^7`-n__1|ZF7Z?a|Ft(6)hMO_I6Ts=7l1alm^;_9mU@bEx37ieQaUC>
zH)g1iKI(YrH%7AL2xE&YS{zmBrK0?3{+93eTl!tE@Mm^5S5U%afrv5Q7*geFzn!hS
zOseIdH{mT20%3|M<BN(ncpXZW(NQzVPf_iRb7JlRLbXD^ZtzCEtSzPaIv8!|%4Y0b
zmS)6QZ{`*SUO<8O&SN-!CL<U*uZ$0x7yLwmsEbnE%j`yHr9;}G{(CG`0<>`m+kNt5
zVR_lfeOsRQ`v<n!YOPy%Wejn5KNPJfj5SZWUW^JpAES4*K`~Id4Da?4#XYSt(rA~?
z0W_83B9WTlHtgp$PT`ydnLpV-E25_JG?!^CE0^SbXJkj~27Wb+8W8Z9FZq*CIH7)1
z_gS<1?Kk5KXUWDYPwcsS3-|QRPJK>HFZoob6ald|72#T3Y%=)^@&0zVE^Oq4V!@H`
zdG(UY9cEwFm0tMPh;s@Rcv52IObot?$tKwJOJ}Iy9HKYh__x3=IQF|)1T!jL4kzj>
zUuiBj4c(3i`w=G3D?`ZvIG@jW-;Cz}<P32MyY%#x@u}dI8^aIEh5G_nwzg!s6RFbO
znb4m!4(mCmJN~owjXn(~7M9$huj7hYB&<$6?s;sy@CuGy^1^0O!!97#-Hs>3zI_;a
z%Ghj<^fv0gTC*)VD?0dltJfJu(;cJxI_XyCb;vEyaaT&^L|D|SuB7-UXo9uosTbtA
zd)0O<+YBT~U^F8O?bd!g3;Iuj^%t6L>QeElC)D8%fApwyE7vGu<#nfq9PU<XT1T+E
zpqe7~n9IknU=Q|k)IXtEanMmo)q$j*nkidGd20TA&iU1vuQTInPd%5q!C}AZouXq6
z7}Y~fy_>2TVRulMn&68<hcgBRUyRC_zB;LVEO=*U9d*EDQ*dSEG^AZAe60h~94F=N
z)BTL!gV!N;(nVKsn8TyeX89Tjf3(r&g7;7J2@P=XE1UOBFW7@T*>dNE8r|uhZbR_1
z>!PAK!ag=?vFl`t_woJG^P&0IL7<({RMbr8B<H5w=@gb*4mVQm({UHqWL{hiu}ZwX
z^vv@EpAd31qh2AZP3+;+;GN_m%__g?5!oS9?Y+Uim)TaVexY;40671<S=~C@joy#9
zB`;?#E{yY&{i=x?bIS~uTcFJN;=%hJDL?pUA&-4|@`_%(X~X2^n5<}z^|ja?T#v$|
z2TxnMti=3I*LoLo&2xvW8Qv#>e>dZ}%4yU;@F4t~BDr0*TM}4%s2gPTz3#oOp0|jq
zz0?dsuP5X}L~?mn;)6*m`w2Ho$=3>ws;4qrOJbGF9=NxP+i7}%ZkdK$$q38mH#eKB
zXspci_t2Sg!<)G-MIofSgi)N@q1FDZQnF{;U}qg{aE#7^U;{=N1%@6U3Ix1;e?0kE
z5Y=8oxG&YFfMflmp;7fMqpE{Ooq5(pb5{x^;s^4(L8*0*?yvzC+T0CBA&pLhT5rsF
zo*hTo_-;v4In+Amr_Rv6nqOre4VpNMe3065*DfS|>DtZ%XS}kn06GV0<Ezfsu%|Sf
zVyEB5>;(zTj&sHQ>ikrP{T17rFU@uQ{XjYx^YT+n$I<-FYta5DW8sbFRU*-jkNE>V
zUk`Bc(XKoXc0itf8nB;1!F_)qYy8((9|;S$s$F)M{JM+*Q8xF7e9LCANPxL(`hq~Z
zNL`Jqh(34j0P2#q^iX`KPNf+nhInS}gTAI<bW}ps)3D^I2@#Tk1(@U(gN3|v9gj^3
zQNE6HhQ!}pi@jg6aEp`qXteOQVA2Q^U%9vE%~!&1T?e~r+g_6jtJldRX7fak?(2?#
zWbML=YS9OR3NtPv@yB-8YfQOd828Ql^Y70sPr4x%k;Nl^e7;PsmD+5scU{8uqBmZ+
z<hrbnh@u~o%|K7{&6mRDPTMbK1{4}hEp-s})P2<5Fma~)n>R2K;$VVe^@x;~7?E%3
zE*cPA^r<3h)<-~jH%egwS-g&+n2R}6CzAcU5_!-I5ExJXE>Y?!M}(37%IwKjHWJgB
z{T5&#`N0Pn;%V*;n8+}1@{?G`ne<L^dQkl8hxxNa7a<F{vKi7fv$bPqvMH#>z<L==
zj>;eS5inpex2Z;rnp(hikLNgh+FTP)5;9#Xr(c`OQkA)!y<`8*6oF$=0%=L)E-ZM6
zUq5v+FzAx7$kOfJC&L$nnf|?C>Z939j}#sHmNn>|tvO<4^nLgh-|yynS3aLZ)X2Ss
zyKTg$J*de)CSH2v{mWn1gm9o8ozK<Pq)?#{i1ZAi8FT_%9PU(xKft^ifLXqnTm;ad
z<F*^d@Lrx4RaM$RePI~ghd4VJ={L?c`BpBrKFIKi*|YBQC&LjfYy$29+=PU<;YJ;v
zo@a^{a*}-#5e9K+aEi&}ky*nA$SpTB?Br1pKLQ;kLoRI(beeMYa#{T@fRrRJXieyD
z*uzOJN)g+3FnU3;br6q2xv8~z3>`?e%1RcjexeVb##M^Em7lt81+8$oqn@u?xxAG|
zY))yS&_0eEZ5$+wtRd+*X%wwqdwo6VIhH2;rxyShlsbEG!xG+Tw!H4xgP^8(6b;`g
zj3f-(n-Yip1`YAxVx1Gped6!?roL1X%f}g<u}gdz+jROcvNQM}MltRXlMXZ<75!p5
z4HilK8c}4IL(JP8yn*=IMbfkS*7R7h**DZ#Cq}dkcU8an<iS&n%jf~~LncZ`g2-#=
zaI+Gcd5Z5)4B7hJ&Idgx4B|yZ9*-Ext&vrplD@n-`?R0%%>b|A+)x<KYS!*c=4t0J
zhY2<KJLjA7TY9R?fiFM2fRB~?Y!Q_MdKQO#m}*eRiK&v<DQFSPcQSKiv8SP-i*J+f
z@?n;}%ED7_SaIQ%h$=or(!($YLxr}tlMSojWjMsMwWAC0ahw3&%$hjPq5L$c0yt)F
zUY28EA2j*ne98?{=!I{|2e|rwBq(%!8Zqh_r(OE!Y^<KKQ5#Yau==(zmqeAm%ua|4
z43$>|j)qV=*SF&E^UF7LaGwWh1I-r)EXoG3beyyIw+^dZl^fSjNrvZZIX&$i2s!fp
zCYb9(^x)*x=A5gSt>x9;{Tz3nbzU-v{*nD#9pBfTJ#tAZufYxqe0gr8UOHyzoC>4|
zs4T0RbdDzeLbU{$WzC)|!65aIP$UJJ%7aQ&!#b0q@{5XHK?aqkd<jEuiukZL>*;`3
z0p3{rcB`1nU|jwF)Ptfm_eXAlDem@5mtn^G)5*0^JokQIi6CMJ*}uNo<eltS*~8O{
z$r+rXU4E`r%$LH>e<}w0eA7MBa&#&@u7C`@S|d%^F<JzvjK`34*f((QUi})tmEdPG
z{?B9XyslX&r%M4HFS1&$+3s3DFvn7GhNY95FujtF5Yqu{FQ$j&f*F1_hg(~Iu(>>5
zGZ!D8ByLja%hYpO9pYH1TE4TC#4N~gPkNrPwsrH(49Ip9Y?`k7am}KP_PK1pH&?ld
zq2Z`%`0T=bZd}065Xw1u72pg_5;}CK(6=x%?UIoMmu%HkZ4#o`HQqPm^jDKpfd#)f
zuKq%Sjm*zyFAL-h4YBD<f*8*pzI&7T*JahtX*8!bTI=Qfjt8eHyU&iO9OW8@yuD?c
z8}N!g{|-IeA}@4b>0nFl8ENUEf;3hxhGqv=iC*ceA(>rvvp03`#jPQ!yJJ`rG<9_;
zFVYwRE-Yq8^8*(Q8NIQGdep$@kdie63eTr%wP~s2dj8a7==<PY@lr#?46+`N_g3PN
z2Qk++XVwz%F)<?~3Fg`)FI!-VxtWNr{)z;^x6S-?*w$KAko3?hCLEz=W19m+T}Gcx
zJ#)IWhq8dX?iPtdenI!x3RT){mGbn<8(XWV0D_YX>?WTAo<oA%!f`n-02I^MW;FRd
ziWYU#Q!9|1QJm%}dVS|a#-_SAQEk}iqHW`V+JMu$A}ZPdY;88n#S2}BU?59E)W#K8
z(|g^Q11cA`^5zWaRV#N0{pF2kBt8-w{Q3>?E~}6P%D0n6r_mMM2T!#L238qzZftCr
zf<Ou35fNSDA^Lld&d0~cn?N8HQl_Y{T3TAK-e|zz8g^B>QQoettqnCbz4^h|=WXfY
zQpm$MeZ7l1X=85uM>JMx!MzFXRC#RV_yUbQTlSm|+(?4;$2D1Q+CiJ#HbU0<B5B1x
zzOA8;>n2F@t0w+7j7vv|*CtLJMhn0ju>4RA2SrwhlIjt(*iM#JrgZkvqQ}c|nTkK>
zKt!Epj6%A2s2+yX`&qwB^u6lOg_lcejZK{@!1`g)Uf-o+6fi-usH&<@QX4{A6nB_T
z)MK{RIne|ome#r^Se6rP_`Yqj0{No+b)~aAXCh&OZdoO2&6y*5c+F&`vXN{eACiY$
z+<R`nK}!KRTN4H{Dbe!*l^6VAlOP5K0y3-bjMAhf3SUBkST4S-aP@WzDl8m<cU~Wm
zBus>i>#69)64cRGkdlR-Anp{X_aeNQALv1OU+urQUtUzS8QECbNV$W`*gEA~yr$oH
zf(0r4z5a3RW8C=z+uZKUDenDJ=(H0Im8IVocCGmM_->9K0)^P6IzX4w>GD;li`g|a
ztDgUmAXNLJRd-kWZs~vZ9}ifpXGI0<`{UqS?hh|zTq0LECHT#mj+CNMsE76HPL#xK
z#ulsJi|&fp$#-nW1yJP*#zPe42H{Nv{Nz&o61%e3^6h5<r$O+51$n}#f7nrS|2r@1
zI{|+T?<m)M7klizreQA~NUrJ8gu#onR3-&(T4DQPvn6^q4zZc$tGIc7598ZLR$c&~
zH{&v+w)*=byF1KJg@ulTRLLLnI8CS7W-3w#hKD&#=RzjJE9`+c$e>ze*0)r4%L*>3
zFJCH3T`X6i!*M-=S}>q3g%AD+cgHno9qyjis<FOb1_<|yE-zh^C%ZL?HRG&UvL-)U
z%Xsd$+AF6*h1vkb+uluD3RJg|7N=~Pgl$kt;NuG`!@6-co~KIEpN7*bphCTS970Xq
z1-q$!!&|B6aO>U=B@h^&@8o$EdrPyewl0$5DZ4$*X#%RsCvM&)pv5GQK$`XI7koBk
z3n1pW<-Jn0aIjD)jA5{a_VFfJBDj_0wpZbVr_S_b41E7?r3~Aa{6zNB$RB64q;LX*
zQ%f$;=I2jzjOhWlnj|D7UfJ*;qflBS34w=Lowt@Jf$wxbSCnHK{aAjjz`w3Qmh(4F
ztF!Hs7)^OXe}LkLT3VER>7$y;qrA<{WOfcZNUfVnw89M(7KikXr-`=+PeNZ$vsCJf
zNc<M@jk^b6IzM)Za*C((%nntxi`CgKV{=R-sHgWKm5`<DXvvyuieS(^(fO7(421p$
z_OAK_*b~t_C!y{9#J;2uDzYR2I$N~3b{#1RUe#PQLpyi+B_CaSdLmW#mi>H!i$|Q^
zP16eJVWq)1EGA7Hydv`sxvf3=*&>;Wo2>;WQ)|I7stMm(fbIawL9}ElN<*;Lvqft_
zWt4Uq&Z)|XdecfpGlS?MucBoN^Bk&$&S9LG^c}+lLZVA$PUGVgm?szWuxsEzi|5M8
z8^i0_)wJ%-V{@k~&lCj7tf!Wti}uUbB3F&IpWwoEA`WkG6Ox6XlS^6vDd}S}#~QG>
zl7|dVww(>Eddz979ya&Bq(l}VBZFqN?Ht(K>E2g)c+dOm0dC7i%%_{DR8&-)8Eq5M
zjAj9>Fs>$2nS<UJjD`P}J$<o}!)2t#?``MN%fVL@ydfh0%4g@o%XGfZOQPLF*z{&Y
z>?^NOnR~lV2t>e(LEZ73&1DE-nv1ZDR`Y3DcQ(7>cUWxe2HS7*`>?=VQ@)rYTG9|#
z<+7I%<k!#BG-7GVCt9mKeAPw_95(C*({^hMC`yP(?7sWd0LcRERklG8Uw}>luOA?g
zuMjK?@=ERzU1hnZREHipTDlgo@ujUX@J=PCTk^b>h(2O0BKC$@Fi5c}s+18iPFNL%
zTLNvlc95S=)Gl?|%Dc_S0zT-`m(AX*LC4PtNPH|GH$>p9wlo0F7L=L~_{}ER9Gs~t
z4jgFqbK`yQ8GJPI631N4Y1hflxDTm&#B+hq<~yUm8}-Zr-;un!)}&cjI0%&d)Dr{E
zVn`u2Hant0n3;+zA6?G~pVs+ZkG|RKWC+RYO*P-e4^TrWZlJRZE&;;>GKAToV?#Rm
zS)puZK@bD*)$vf}h97J9nD35S9GR$&#uOBM{rK@?LEdxhDQ(uWoSatO6easRcka~N
zcs0H~VF&{8!8u*YRW~sCie8Ip=9TX1F+*90zW8kf9gtDjy!`89fiKXAMv<#c-OJY#
zU}X-Ib&}|yj#ap<BY^1ES@`ZqP34G|Uup6kf9gopdd=F2$iXu3lY&2v^1>AzVN^yG
z>-^7hmy)8*fd1wO{`eW`OHgS5x~Al)0DrP)!U5!2sM9!JnjORB+94*DTs{I}Pb@OZ
zH5IF!o@@1e`&ya8;kOHO@M#>(LRJk5np!yWfJ?%zUk#bj+5u%6P+9D)R31%m{kU$T
z=@`U=)1$PHk>sya@he9cMTw<et24ex@pbQ`A=)lf>OlcDbhkNUfoTeNGJLWAfyYq6
z=pb*0J#7x!EDA8L_>sMnB}dmDpoT>vO6>~bw8TZU4$JeIB4kW>x+N*0FO$VPLnTP*
zUXgl6=z71Cd<5D+(NLL_KO-!L5n)TsR_5?b`c>tgvTpL+X2y?LEV9`gbe1-}5HmSn
zUigiJ@vZ0R_iZ5iT|w_IAArGO$>YB)>@}yhjhVKUW|%u)ZIjWd6<Z;#(GD%x%LN|d
z=%`iVDEr(v55SN))Veoq8SLV6f=>3HPPvkFt|l}X{V<Sz{>40|<{|zOw(^#6N0Pl+
zcerw&x!tRmcBw}@D*eKZ)+uu61^F^q>qF#lTw^zN&?;^(mx4jpFPxoQ44insyGpSg
zP*dSGd+2OFWYd`k|L_yhD~&oi_Yz~~yir82R$z*zS1*}LH~@qsc{ICrZ+!4ZO$hd9
z0w>I-v~2wQo>PAM1{7EJ`nAQg1j%v@Nx{%u_edRHy{*}*z#(%qAR=^^Y*{<oG2uZY
z@B?f&tarFTm+)zq*4t^@el}GVHLm@;7w~bsTVoBQLX{mn-*S;x;NRzH7vT?RwGCLA
zt<P=J;AfCyl(PDiCL_XO0T*Xj0ymx%x%7o&ot4<JS%u4)f#P`*3cS7<$d^ny`47Yb
zQj_5$R*Md2;b%QgY(UH&MvTkS*=$nfI)Ktc=)^<3E!XWKV|)nPJB@};NN~k5#!Pc@
zu}0?T_F?Iw^87mqyVZ>+9IQ}9EB3xca}Mj_HMJ$%r5eer0o51r=5AFao@Uykrox6}
zyYC()O+GrRtxnTc7u;Gu>z#W^qdw#nzq%~TVxOMc3ECy3MfI83A^-?k&S*bF6!aPm
zOuLern0Q25?4cm#(FI-;_{og>NF<UyWNfB^iH~PPxd|P-H0<VGTa>Zt9(nW8K>HdI
zXF%$?ee%6rWM>fOZSPkXrs!Sja`2r>_YKvZ{(%aVhYqfKwdXt?VL9YLA>rpE>5)VG
z^IDYsz2wNjfYtDKE)auio=ToR8#c`?F+5-2)ftOvJ>d=&>1jlCm)Te5OZ&}|)mtRr
zM^o)<TUk(;!?yvgbQPqBI_+3~-s?vR^L+S$N|Bkwb1*#DJs*wvj_(-24%_@y#DRsZ
z2q1m}%hY{wuf8zy=(T#8EoQIgnyNAS{;>HYDg@8{8hORv$~Z~&hapcy6eB>r7NpSl
z6)4o1aZA!-5-BpQ5R{ljs0GLA?X+pISB-U8BVx(nD2+&3SxF4?E|PS1hc8kPei4)O
zBChyEzzzT~v=gi6H9gSIWlM{;iHie!6WKy)Rtp7+@+Ygg7D0mOOPnMFXLrCDWX<%I
z$_6T+k*6u(lw@!QWGN?QVfZr*O}&Yy*VoEU`@I;uZfc7DA!xd#gO-M>hM6MNu;Zsq
z4auIJ*UQf{g+?7%Q?327-`R3?A}gBzyS`?arHz?R8nt<?X>ATaPptH)Pv_s@WW*<S
z4-b?@JW5n-e|x63Sv>LvZ=anF&h8WayisqfRucV=<2RY))6@PcF};|p2PYy5N?wR9
zUO1!;S$@^fEB127d+V<8bm-v;y@x}V+oh3u{K`kmW!h4Xf<i+>pRnG&X|3t-yrW}>
z#ibD4&QbIQ9k8{iM1ZCDuOn*gVy1Ca1X<N8gTl2w^A<|z9T<%V@c3tU>y6UE=TOAx
z7Xu15Bd?SYTc;kg+L>QEjXT%@RNF?psi~<+szD6D3=2N*#1}$2(xJMXz2BX9XScQ>
z_)-R6*W{j>7WvUW<wpz}!D2WaUk_|f+|X$u&i7%~`1IZ+l+0zfILEYB${SjNTC=Iq
z0Yk6Bu>JstBD&(!LDCb<*mNh@5#B2m)k^ehZvBx3oft00Rf-pfq+ia5>6D5I4gZA1
zu?$RX6Z9h$XpSG^c@hRQO(P>J1&(iMj_HOaI~PE3I))X-f%LP2GT`#ysd+<1qASa5
zd|}#t9?$U&<NBMCPG1=A=9!ntXR2*s!?38pf(nIgQZ(7Bw>;!|vP6DKuKWIzfuYQW
zs~}O|^PjqoanX{8Nar7nkXDiOHHGzkO;^W_{bOcJrks*5_4nejgb%~PPYDmPeIK3G
zAMOpvUnk_HOAW}rXwVRSm(muSGOr9a-z_4H4yNI*<Swrq3kzNxz>Rwu8;4Hwp^ab(
zye>TXg;ifVqy}z8UR7Oq5V3VEqWuG`vFj|IYtDZ{H*Nl&rMhw&O0D%x#R2r|ov5qJ
zIf8A5ZKfi!ubm}dy785ONlLympWih=@7;S>y}w6?j@AWU;U7V{n4UZt6!Ws!W=scM
z78xPXp~9RT#-&@;swTTjCX*lPzmR&uy>SE*^(lgyQE>W__yk8_CRLwz#h^`%sU7|@
za%Td%*MnK%!pCzHBB8G3>-N_TDbk{B+S=5|4(MH&Os&%hBYq9#D5xlMb;s+|vTa_W
z`eVW%)D(km=djEIZ~c>TO-a?q%%x13qn91(UN$I#R-U8yr6%V@C-wH#Dyw4=rrlG|
z?=8@|Y`k;k^}z4K&u(4y%P~5_H~8H1%w$cgz`!|h{}$XJ$^3==;$=K6Wl1Q6bRM)^
z;|b|tKdx&Wbgz1f;EMU-Rw3j|S^luwcr;+Zy{y&za#iz1%$R#I&>vay9rfeGTg1eE
zsMW+#T|l89oR+{oOIX$@3vmqX&7JyYcm-$^gjX*7GX08&JX78v=+6fya0#3)U5a?^
zpN$}mS)LA97BZ`^Y7iAr7`|IAGe`0Zk`X%tukP3t;QOpJrX?7nWp-*_VS1ykHmU9o
zx%GqVZh(bKKkv25W*?6<EYka(s?k2i54vkUCs2E;ZJ@Gu@A1CB@(8TKRxdJUq;~a~
zlLWzzL&jIy=xhRSJOOF1XX3Oaq2^$sfyow^mW1+@3XBBx=h*X1zyg|~dN+iP@r+yo
zp|0+wL)lquy|0f_3S5k-O(^BU+ngb`U&~5QsCMx7wh!au73Os{Qs5}@ZgJ+xUVcix
zqQqpe@RW=HW2Sq7>iHJ2s88LddqLl~V}QJw4@z78?sfKh37JUiFinWqo#Qza9v)tL
z!R%wYF8y(vnhD2p#UXn{TEuM=Gi`S<@0ZZGN-v==m0qIWLV}7o(~f;}Kptm4V;WD$
zLrspcED8aY!RiUv`Lezg!=G9dMlpQDwu(G(?Z?pKAm-}SBn{Npxh^=-ec;qqABQo@
zIf+|+h*#?^vRgP%=+NEm%&&2`YO?k~0w2zww_B2HORZCUlW?ei7hd@Vs}_2@eKgB<
zzZQp6?mrZ^@4lsd+Z|xct1dfN-i(Q{!ZqUn$)r`-$qZADRg1l0mm;NiqVt|3Gpj|g
zue$7ELlCsM{D_19&gip1$SR*vZce=?6Dv`nxg+F)Q_*Eq1u)mbNxdW-!?JV+4cz;P
zD-a)h<$pplGzW8<!`1*8v8+^PwdD@rC!OJLVX<vA95t+Cp=8L@Vo2esJ9Tljd%c4^
z?HQJyo0|B-7vo_(qooaERmpiTNG}1r$7VkkI(OOvPo*krK(+gO!+i@eLvd|1%On>j
zFu*yQHKoRX@J6Is8^XOCZ@V?P-|EK<8TAB8xaE&)I61p`8b=(?T3m@4L9bNjP#e1x
zT-pj5U&qgPGeT`?gw0r<2l1@?EtzgREe<H_A$9_J=f(Y^JWPuq*ta)Ni-h%pOJ)W|
zQe@#q)A!%IsL34O>RF)V!zy-fTu5W7Ine=}ho9Y$TAX~U1C)tt`hIii?QK4LH}~`#
zXT})o*gK}7A3u1=#4A_s#6(sG<nge+R#=yPABhxun&rpA`h~yk+G9>nPM+m=2TCJ(
znU9~O)SVAFGO-c!NUcXRQ!sr8Fd-Hwpa6aY1#H)K>#@N$`hl$Bs@P_S8ykU#<uzn*
z6_4~_j530>c;1e7`c%tdCugIlKjJFQkzSW?p1Ub@XbUjGcW^sl_2A6AbjgQpGE7Dv
zmP!-X5&kc4@14A<U#HE~641XJTCuNpEEyT+H@E@A%23MuY@uYHrgMiV$O(ap&>DY;
zT?2TN*=y(UuEMDF<t}qX@rIA6ONFVhtH;~~D&(?2s$_9E+-{n;RcEr9hD@u=BeBX!
zOB~U$52`O7+ST8RH)YRxGoB3vm<-IGae+~O%t`MOZM@RwGIdT=%Gke>5yN#4_P>bK
zgMt>==436g>Lq|6ZMGc+EQt+X>y%`Ek@nFUEnj1Ku(B1UHbUPQF|?cHVPLt;pVW3e
z@0e2wSjExbA9X4+v28{A35r$=oDo_KUhtW>8<~cB@4O1<-k^uRwaH%&riJXPH!==R
zF?=HL!f#~wn8qa>aNU*YULxtdxW=z#GwfHfYkcx%yi71z7JIh6rSMmL!m?Ci+e+=t
z(yo^~lywCxcBDs+zuC;|^`!RUXV<zmC9+E+46B;#M|G!DFygK;Y}541-@RmdUI~*&
zcB|g@c1SVlw@j2_B6iws-IUQZBbbNU(YvSbZMBvLs1<!K=VfIqCr?<vnm>*G><&|1
z>W{y^_w%!<9euqU2()o9(^o0o{}S$PY4yymzh-SzG{4Yu|Fu6{$*TUw#+>BiuSTqQ
zx5~okyt5y*6ktd08jDSKlbUxcJ#w%yL6=@u9hDWjzjsViS)n&VE&>816v*`RU**y}
zXNpg9+F~Cb8VKQZ@|>jI3FiT?b%Hp-ZFAi|^*qgtaFp6~0&%jtFqC6^p|nzdP^?)Q
zuVyp-mYCk(U9_QAyLxy3T?XD6rV~70AXDZ7$uj&IViO?aEK^W`Dg>Ukki2(oerJ4_
z`?10qE^_n3nmJRj@lI~I;D`f@2oLfK(7q9|R~?Z4c#5~9S^ld(Nd99HVQ<7le?<d8
zSaUEO)zW|qC(yixdA`j*?w4(UA%*nT#^{J$><H+%ak8OWthY0my+ev4CMkTB^MXak
z5-(1Mk|N~`-sY1hP-4iCb;uxY+On(<&q2uA^GLN-GIxZ3C9A2;$gpRNUE0~rMGPPM
zHd0KQxAaJ`<r;WgNffL09bO4D4R726G=x|#JP06hxmpiD1%gSn_OSs4D-=0eZ2;(z
zR;AVfV+T_*WBE9&)IrL)7kT)EYJ43gsZQ%qkPKbMvgT|7)XM`+RMR)E_Nnk&YUYD7
z+Ct7zspV5sQy+?S5kQw6MvKyhoYAVa&bvkht}$2ZpXQoTpmH^&lC0&Ot-Z6Fr^WCq
zDcV3_09CR$?3VY1=tRGx7vIP6@(m#&E{4>ReDHJgr!sz?P5uisF|sNnjw1bNnw+a%
zZ)<siDk*F~)9?mbmXp+eQNKmA(qVZUYY07hcPoe7>`XVHIQlwre%MLKHjB}#;I`l4
zsV00oSC6>DW*`KlmoF&DVsKwdFF55(maqzlQit0x=0Zv3<S{qgxYjs38dx)G*qZWs
zZ^dt#-deEQ^8OsvBW^TYU-_}Iv%P`?PMH=n>H-sS^Yf0nj*&a#L=i<_GN&OWB+R1D
zawFkT?$<>L&P11>wQtB(2;SngLV;bUfqYNjWPA(Ax!3&B8+%u@o)?}%S1Z*Nt&=KZ
z+Y7$ejVO-(K`6wyq^QN<zAOf>g%IQ`_s1*q&7Mvy#9)javjAzk$I=Pnag;)twMi+h
zp=9H%%oiq00ti2s-Rw~hFNc+j@`_4Uhcb2tdVG7?VF9xp<I*@_ze~!lxxCzZ1d0D?
zD&iF*-LO5YPxxN^&BV!YQ*eieai+@FmLJrmm=FLeXs|B<5Am8V)OJJ%(es=%_Le?_
zr5y+ePMzcnFD#FIt!}}}By@(~6}MZ8`NlXghI#S|Vu`X46Fdi`Q_HU0ILq78!+LfO
zlYTRBXKNbaYd*ghMND7${`pQlHt{HJco;7F<jHvDc{@_juPTJ(DW($h;7*Zcqto8U
zmA1q~@;f`JCExO08kaTli}K3LUN;W(K)wML-CNczF*e<ZxzYvduro)IrL_xi>|BU_
z7w!godt3GFg+HmjBIaivwrRC};~{4LG=4=I`#_5WQMLIfhz-#YS%S+^BrA{ah1{F}
zh|8+mUvvXqu+=ade~Vf0+;aBLoD3PiH`n1@MwcTSfozgV!(M(aNk8JbD{p&a5ib`g
zk3iCVv3QfEymMn8&8j{7ERxT@2wI%HDo-Yj(ZrOT)9IhWEiD+~O(^mjt&|BCq(2&8
zOL^z-$Q7Pk2*+>i+(mfiHN_=zsJN<2IlXF7ycAMPik3k*`dF5t$1V{YAkRm!Jgeqz
zYOS<on_hFXSd1K@@9t8;;u9vLGki*f9}s~?nHG#Zym?rrpwvS_cX)Cy6jfD3LUO=Z
z_nY~hB6W`wgu3@%&p+Qo&4cM!Wz-A&MOw`(xCdl0I_2jLs^NU?3g2;M>dzl)%XR@)
z$pS*f(dmyCE{aa_7JbP&BI(b>uz6`{?HyB;^HHQo;z{P_g|WtWue)<L9XH6;zVpFi
zsfkJAY%p%$b?Q<7da^&=#dmiN|JwIx!3PEBL91V9y}Xv8G$TY-nSTqV*z-t}v`T08
zM=g4N2H~~+Quki@$X)`B-AG#xQN7b+t^8s=T6KR^gWg4xLctn4th^=FmwMY-eK`Nk
z{Srk^5@rb`>tFzF;7Ni}zUkow@JIIrt{9+q3SD$vq$Vt~(ln$`A+GfusR2XB;=a7l
zp0Ea82pElTrOR-bymkr#Xt5Rce@jF-=a#EV@gT)Nm0qVI$J-~tr#?*`X3HloEQS;!
zspd`w8IAJSr+#8DB(&2s*lQf2KNER2ESAj`3W^ufd4x9Oa5>^7`k)sa0ZU>46I^H9
zw@3`R<U1Sbx_bN6J@cXDbnz)C*#Mx0o}QV?Q%b8EYI!AxWV2PZ7LQ@_rCc<`&O0IN
z$h_m3mEWq!*OMDiH3dDXMoU$y#O+v|+)_K6SS#^dvn+jaTmV|K9|nk!@dBER0gLpE
z_g{>ZFZ12ND85%y0op)<IEE9uT{h}j64o9EE(oy2j7epxyICAF;6Olr32|!vQhbwm
zNYe4~{#=9lYUY^lvX_~W7oiK}a}ihdj~@(ZWHgB82(jbt_$nXjbo8kJ84JmGA!77n
zwCq)t=l<4yp-koboy08W+6zL$%j(}*Ta~Hbhje`xW{mf_-I^RKQ;X#SlB#T<gmyz>
z5=fat2WQ{^E-=~!ACLiuR?j1)q)LZleFuk(zyvedFaR5O3nl|IZrD6c9Nv5nh-7We
zA+i<@od)siZSEZe9Y?IMarrxcm5Ky`;*8L^GOKZAWLZO8PY>D+Cj@AeVySJCgg1BM
zO&lTN=4!BpE-2JkZ<hr(h6K>xwiF<r5e*-hqo-noj3%=(<i`zL4QSBx;(}h$ZAP1^
z44nLn1Wp$FNyC|%sHBsTSICfI4PZcHOJt3c2qPS0bZWufn}OhYQ{*Q-E*nMZQ3k4>
z50@%_`m9#QRfolVpY0GRkUo{0<rDN{vk3xXm0_J5?^B2{L7Se~h*%x0_}q!SCRl8<
zq5RDbW+cW}No)~=-);`nhBldlu025=#&d}Wmsq9h+)BY@8me3ApK6=y;qZT7!rSsZ
zv3({{J^J9q5F63_#&N~d4+S&0MfU~=jf(GTc!yoMaUHy@QW*LNYBF&+aE1b#{wVL1
zTT}wt5Gu2z(i`4#AW+&Vr1g9b4*Dh7Q#EgRj%sN=s~gfNHTC9u8KcweoBStO$`+>i
z34?p${~{!QIpVW{g9E*^t~bd7<?Z?T+Acu=Pq7?$Z)I|PC5Ys@<l415qz*dc%T1s5
z@PmHPAQP5WXzAk(L3`gLJQf4gAdL<s8@6DV9m}Hpit9*m!S(rt0%Qs6nT{MW`ITcH
zLgjn>VLS!Hj(nYXLQ#j${AQ^&y@97&Xe-lqL|h0ZM9}ml&j;rh)i_-gBXgvJZ@5mB
zS(;iGcE^23HHXAk7`MMwHC(T|DnA7KrUCSBf2&5X4u_?(X-%Y;o&o8C2%A|~fx%<|
zxLpZskE^{pKj(G$m0>SeVwY^6szT%~izRa&^*EH%7FSI$&vsf$t=n*6NH^9gm;!7k
z36ZWhABCxoBUQ8YV3oK?n-TGqmBTIDW}k_ZhgrZTjOv7TY+a$rcaiN6WvaYE=j^Z4
zRx+Pq^7jZ=OSs0vD4+a`lMwb`enz)_R+x`+T^Jrm@L?lwj_lS)l|kG6c=o4aE&_9P
zqBxjD3yBGMI&0yaMy)xOR$?8XS>^I$`N|M!INtuz$$N<=A^%GF=HVmop%8jArvP#T
zLUJX_Ru_0?Ex|w_oO`zv&<`K;jfWNkB@%X-lxG-c>-c)Nb?h{0Bk%6b^uD}~8TV?6
zYbyFQU*ThkT`D<;Rk9<@b{6#bT~Z*e##MFjv_0^LwX5n?4PUq4C)y7vn>;;4$r^b0
z$od|!u)fH=_2KIG0Bb#VHHUl>+NIJmz`3|vBeL2dMpX=MQ)La1RI|24o)lDG3DOB)
zB@AxK5SyDsK+m@0#7OR##q2&in5*niKx169SYakY6VE-RW!2KF5OqC-bneLKrtn?H
zaVrqO+yIMZi|QSGfx|?eDLYO%Dp$7KqEE~^>T6La$>0;#zo|O$xQ^vs_PDptod9(!
z$CGVNB5vH)<q{zT$(Yw|6aE7Rlo4t0Y~?WTzhzuT{SkO@dySlCs%;*px>2VgbP|*G
zet`&^V4O4+Fys$1886F?JS?&lCvXTl7}vUx`tzE=*^+5NqSbzHq@TkEBduR}T;@aB
z{$1>$Kege5N8ZTqiH2MUTALpyz&UaJP+WfS56Gcgn(%t_$FcFeCew>=;(SKZy5pKb
z@aU@BF!iO+fas%7kmCLgV%3BR-cF8du`Dp|Ryb$1f(-j$D{TQYOo`>z3$VX7qxDlQ
z4sY}$&(+9w?KR5!SuL(KvGf*#Be%G;ODZUGJJT};%&%fYImha<8fr-&qWPy+ISw;0
z3{u5!YfdLp!5!v;R|3iXH(iN^ld4>a?)hVKXijN#DVB{9<&kvP&z5V`Onn-7R+?$<
zuZVB<9C~+8UCm7?B1PBIws>P1B|H9umxIlPVfho)gv}eG9;Arh4tzp2&`MzZsrvEy
zhui@hr}n9RQlTxob*?})M^<Glb-3=sR%>Rx-cr-%o5EF!q49IpZnJX4*6hsSo82L#
z4hjVsPOu{1;W_Y|lWhl?K8M#f`V~N(Mum{MCwN;nMfRd_i8EC<4wBnPi@d(FSL#u~
zFrl%C=Y?qj{p&cM<vrSY->s?ub1H8emp}OfAlB)%j4kK_xoR<1-~hhz_7b&10Gibz
z)<oDVr=OB8c3;qr#W@9+L^R6#Z0g<OkR2k-BQHr0PQ2exWHbL9-oBEsJ?7}-h!#&h
zBj_Hq%s7O6Ut!PgZepha`QUA`P>bQF_TU=N39u~LhR>%Pd)rISh=cOn+1b6xHvF*2
zGI>3xFncu{<Qy!#;PL$tGXq}vC^j!u^N$Z0MIO0k2pYahz~j_4OA6gAn-?nQg75GZ
zjiRn#GTw8MD(~0`oH>J{&}uiUxu)mqD_kCNj_^3D|JL9@D(6k9wo6_oCXwH&Pn!_q
zn%)jSB0K~=O$nzAOiGJO<J>nt?kkzy+8L@ig&UK3*K-VtYnF|ngk!sHHZ&Y3$qK@E
zAr~F_9_SA50ji<Mk|xo-GbG5}&4p>1mG;>k(35EgOo+SP_Ygy%m93as>C&-xF797O
zxR#5OtJFAOnU?E@<K_;D7CI5<;@fCBip1ts>)mP)Q{P7m(L4gi`Q2L43<Smr%pI$c
zaemP+)kKo<)G@9Gymg}H{*W1@01(FrX4kP97`*cLtqUKtnKLhSi8#(!{C1KzndP*E
z&jem6c5?bsu`oaMT-mU~#6>;H&wUbGAvfVs`^qT#q){vmz=rtNrE6I|R+h-|Zg>0Q
zZ<xh}V#Onu2zyD&>+2~pZwU<WgtvVOn*P9Oj&4>-xGHB|t4f&euz_ihS@NVnLEMPS
zpe0S10^{(-Q_+iGt_H5Y4(*821j*r&kAS4Fp11HkuRrP^s*PVr4YowhYYM1h8xLF3
z@wAN1Or7Q$7CwhpRqf{i&!3}9-=(6*C+D7a^>yrCeE9gG9l!~XE&8dou%(058`oEM
z-*qvyC~GD~JD0A1yuSVh@E$KifbL7@#oiTWJ$hgB)9c$kQh#xxcJVjQUWrfOCQPko
zr->uK6r!T*&kNvkg{LAm*~-7G(a)aYM=3-i(ECKOa$76@?ry62-1Gn7i9}v#6Z|}0
zLsJdUaTv&!$MO--peLsLGnorA#ithdMx)2^NJalLkGiha2u5X`gO9F>N#j2aQ$y9%
zG>dikruFbNz~k>G>h4T!Cm4REiW~12Kk=v6x+`!m49-NMUB;;nHDyFL0Yl?kkm@+F
zPeTVRpf%(pNDom|d+c^vO?r=@=~6*qA;H-%V?XIh++$;V&G7xag4|NbEoAOpb>V~~
zjCa=V{a*by$gqn$5U+-bH|jBRh^#Cc^Weiew~6Hg7WFhsu8b>cjok)HNdZ<gpM%d$
z*so1N-2V9AK)RN&$q`#?=QvBzaHkN74Rxx=k0Dn-POSb8FOD9Z9(_Ccg_L#-u4uD_
zeq*mCL;`kCw(yefOiJy8_tzIpxnrMTFL)L4JozyktM^#p(L=BZ&vnBZpM0JHw9(RR
ziXjnI&-0DE|Ip|PlMy%iamBllSLSz*hTddn;35^@1!b82!ZZGJwMhml-k2|)W%F$#
z>6*>bN=nGL5Y1I>t@g-Esn-Pf1<+8C@O~((!q8jPQ{z((hIg?a|3t%KH<g;DLu?CP
zBcA849;JS5@uM&3ZG7Bnf(p!PJ3Hy*&V$9vYRxPiOy@emvckH)l%vNe>5~ElUkbVo
z6QHI#E`?7}m^F#L;Ly%YVclbT%IXX_lo-QzFNo=6iTt&XOGgSEji0Iw&-qV_ic;gc
z^#*x1^i(GO-yb8LQ$KrUoY9-xZa7+TQ*iZ`g$nAD@XYzYmRWQAB?>4JBIGQIu3b9E
zfs@0G_;JV-Nt7H$UjV~uTZ{xKju%WW28etvqAn%^15IwZl<8dC_AyVveY~G26ChFp
z{Uz<XT@i*`+?~wr|4TXkK;U*Bo3H!a8KFU)p*Mhl{oR~a>RUh<o&g1aw*S(6;ass_
zj?AEf5`K6aB?|D+rc`n;B^(e|ef4KCk`3H^gvl;%OLZ<RZ8b?;{0gb^e+g<i8+o`v
zmX_j13cE1{M!u!zh~e@JG2X*OgUS^M_nlvUx%ZbGRr%(5{)*9qX;Xk)?H^Pjm0wcp
zZ<F&RK5j58)t?U9?{-=r8!M|9TB;3LF_`-)R4Sxe)At<E`MP_2ru0Jh($6IZ*MGg1
zRXf-Fj?soMr)q@s;MyjS*he@rwHS}H0y7+5s(@HC=ijH@VG{S>axs?OUA&V)S+6hg
zfX<j8!dFiWs^I`3sZshHI>cv@uEw^_K|%G=_wQg;zDoMo{iAV#Rbnr%muw&KMx0>2
z$;>NtP$#_dnR<=@-(T9y2M@zH&rX3JJ$@FjR$;zAqJnN!BDz|wjTS>JYQVKSGw=Q2
z%df_A66-(9aQ~IZa@b4mCU4Ofs>mafvP`9yENqy5Q2tsf(UQr!4z|+QJ)X{lmH;y{
z(m2xF)|Pp^kYH(90&+MXAy{D(**Klefiwo&1M5=?f@wu(WB;i7Z#s1ir#?h`jSWiJ
z|FvY1`)O?sS>DfFlApvS3~x4N?iLjV*f_|Tm5g8vy@)#R^|=>J@K4p<RZEz&ithbo
z;Xe?)EX|u*<5`zMs&T(n;(Z+xr#KYNHD@Y7RrB7q&M%Tc2hdw1sl=ep^-@4EX>d@Z
zRm^#zB~C-dm|G@IIJW%HfBqX{*ZG}iD5_umm%IOAO!!Slx2Sm&f}kM%gDGci>3$*v
zYF?25RGkVLV}jk#w<CZmOe%4yzrb$)bp@J<rs-=-Yv0=t{bP$C%9s<|kagzT1+I?8
z3~=uA*9`gR+{q!PZ-(p+lOA3PCRqY&t{QPuUfsU+CxZA_y>2qQ$1ye+R7#vCCH$H6
zO<k^=w;p`Sl`L~r#q?+qE0}$Oiasq^xE#(B?loxQB;n$+BIlHwzkHDe`FQI1Uv%T2
znYKwWJ>r~>SMgN%yOM;49WZPtT>G(3JtW}VFZKRgicXcsOjt^dSM#3dW|)g*HL(T-
z3IAajpDe(qtzXqPkx%$*NB@WgE-WnK2E1?FE&k`Vi_@4BKOwVF9Tsq}G9FyT6=1L$
z(7lBnQR^(@=ibCX!Lo?R-cuBPJ<h`Oj`OcB|I1B`He-$>B3IP^b3gDglm1V_C`}~Q
z1J9Mg#RVN3K7kvAd?Txpt&`Q1oJUAyKL*h9Cf2j<|M?L3Et^0|uJ4K>olM^+f7|U%
z=6LplqGe9G3|h(xgIviVQ%y+Fn&-yg{^l%wog-jp5V>~Z?K}HN%Hz8G@m(u(ntzq!
z-vRG0pUam+^u+(=;*I;lx=+#Rp9l6jUDX(ePqi5;`&HmIaM*c2w7CCnsKLNhMdwXf
zQQE2utI%Ear9Yhd7xwl6#5@7MP}EfT?k{JJo-sYp1wA%;mQ3PULPK3p0Xx(;I_8y6
zb7agb_BVF#$p4HXs8-dGG+IRqzI^$9CJ(R+vKDDpKj!D8W%+-rQZFaN0ZQ@CGvMcc
z*s^u%#i6mJ#qU@seZ+q?Y<F&Cz6>1!864yjn}2|R!pOcBd*JEL_Kb4T)<puf`5tNz
zJMcDXrToHw&s~@)iLu4VP1JGD<S#e8?;HrV+2K;FwypN_nXQ`N(4=a-y+@r10?7aT
zI1w0lUO6C(*g`7B44!+by8m6&l=Rp&OQd-!$K*Etlfu{4w7-=89Skw7)D4Q6%lms@
zJEcxX%GLZyWd$yBd|+5Y!0p>oCN4=_TB2BDB$Xdg>?hXEI?`nL@R^!F{M~h&&5%R6
zhg3;_leTK;%+`O&Qy6rF(Z<{?>J9Cmwc^)rR*t9Y&JH$iPGp)_`7}mYR-M^7mAp~Y
zBAVk&<f*syuj&l|`LI&I#?8sA$ah`-gERe$Vf>)aP+<pdwDf-*fh%*i+3ByBAT-eU
zR0bb&r?qEWP!NmZI88))WCl%1A<18p5OJ%S<WMd8W9|RAs0k*9u6f*I!?OOBT-LqO
zZ1nr_^b4jxO25h@olDZwZzp>K#`)PuS<F4s8>>Ts+8`IZ;{==kwSP$lwX2<`p#KCk
zSDDn2N5F+esOz22o$cVgyC);{=)&y0Efje<rRSX_hou-NLP2T4weFc2x4$OzF9+QN
ze|acj7SiiKbFPcNcrqsi0G%6yNS#1ALGpj#4NcVDqT+OPOoA4Qq@_xtL)__85o_zO
ztCb5%4s$gBFY}C<nv<$OA^-ADm}yHrttqZP(%H<B2YFIjQnGx1?)9C49=D;{1ckw_
zfy1VZ4VG%&&hPwer+xBs#gDyUBW@f0k3W@DXDlBNq6Q#;#lIYVfX$M-NqImLEws%H
zmAcLY#m?n1VuG^uY$a0*OWR0iBWp<9q<8y04ypfE`wxD<L~MEZKUso65#5)$vmL~5
zO=KOwd_BZP9w_Um9>ijOK^e}QusH$!-#7i`jU7U(kbpn5KPWK2S~(J1j})KE`KwKT
z29<Xi^EZorOH==2-i#2WE^lyL2z0iSz8K9{DfsZuFaN9|?x_s%+>p6IO8YCGM;ETR
zJo(C{sah2~k>_yguRCB20-GPCy^tNLqM82}k-yCPJs2f3;(EC2jwk95(SMiH|Nbla
zobhTh&zF8q{a-5cU*!J(PRsfE^I1WI??3;#o&T4?2UW(KjvVskZen3!+4%5E_pb~8
z?P>pu$5c-7F4`pD$PfMFD~v2aX<*>Nd?XT8S}F&Sl#FfgS_(FRN&eA>KZ5`JRBt_o
z2H@J5Y;A1^hK3wjIRwi?`DBLM+U`F*S!7hwfN~)`b#ZaArb|aZe*DK@{6C-nXWS;i
z@B`ED1KizvrOmN+LjIedtG8$Kp_3gv`FVMzH8sFHnnVJ@DN=PkvCz0ogSXkkF7Mgj
zdHnBSNQ@CjowdIrD{D>PSU_)(eY;IeP3M(Iwjx}H%iAM_)W8V8^`z>x0aHU$Q^pzB
zg{A4~={K_fKZ#!WVE&7@fdQXBvF|tL=%$n+k<z|nL42=%yzuq)eaO$j!NJP1oOIQp
zfPqv$bLNbl4xAOK1m9q83;ktmTla+HcQIepn0##hhZ%uEq7O0O`HZMP`M9|UXJ)>b
z*T8RxzXSjPF7);Jf!<zD(PG9%64bY31ydcJaPwM!lC&AdN<5rTDNXWz&XxD{aXFIT
zrAQI{0=L52W=fY%ix?QY`Ey;Q8)rFJX6}I6^{Av(e@gxcbj-?5!0K3pG5#Z|%WOlW
zJE_|TJNH#A#Y^{rj5K8r^T{PZrAw|QxYM)s(Z)AMlD}$bAjVMy?+~h%u-ooA?lUWw
zq^lB7Ofb_E)I+u^{#<Xi&F$>R<Pw@98AK~(u2)Y$<^0|E;rIoSYC=k~O1#-La7dSw
zP_^H0+de-ua08(v{MN3DFi$ZG>y$&bdPKLz&}mRrb1W>mWj9QXP}btqM6Wie;txRC
zKX5=%V8aO74n{`0FDuF?Y<^RlPYq&;U5RlUU&1^P#3ihG{``iLsZ^`%T4Ov0hTh=m
zd;ha(-cD)BsOssm5q8aP$Fp@BD?_So^5{E<v&4tvjb`ktM*8imz(gVRLU|Qo6Q(62
zh;YSzLO-0&&h}NnYr(*?W!Wubn<TS~*)W;Te&73~RHxw$cQU-II@#lWvh<!aopM#I
zTNBwzIacy%UMZJufL>U$=*@!R{C-9>`(j8X{9=`t{AX|E5^|Ru2sOzo_b;|Yb`JH1
z)BBo3TOTEOg!|@r{fx+=X_IuT6Z+?I;Rv6-c@&@AJi%OnR5C;pp+$D~doT*#VXz#<
zB`-74?&`kn`L3kS5<>IXaBl0bx6SdbN~XxpV?NDQ!UWWkq^HTWor#hOAGz=cg`Lq}
z?3wzU6ko4r&)OLK_zFr&dO|`&PpCB?AI{Iue;w@whpTLgK7EA?2?@E8sj?w1n{gM!
zt7(5rE)Jt69n(7Qvuxz9DyS#z3fqCUMmrV*O^HM6IjI3fgx^X<{-sp@*z$3pU00;b
z^11VZ+Sym}e(fGpWvMi!6-}{JuD;Mt1~CVMP-Iz{8$(Y^l;^dxW5SdZ)+Qh^a~?Nf
zC`H+Gb`d+qEq-oEDhi~Up@^K&WU%G(&V<i%V!zAyulvM=2LOobX|=UMIO;!YC1`*)
zSWsT`a#tq##H#%)*1g|yO!?_hLRd2G)5KC@7d*Z!OBGR0YrO%(BD@$dao=x2ifY-X
z6JmE6r}z;D4$9KZ5ErlSITLc}(;xSomwK}l68v)A9-$p@<oWfS>?rKF%KyXOdj~cB
zKKrBe-lPafhXjJ40aQ996zLF(3Mjn@sDSj|K{|xcL`o2lqDYtCL`o>qrFVk#5_;#x
z@4er1{G4-s=ifVX=gu(0gyH?pQ})^2*FLY^?e^<FnjFql&zS7j+=1mMCPADKT}u*w
z<i4&p<|Ms7=H$*v*S6HXUD4~z;pnc_^c~-U<@%yk-BrHnz|rNRY0TWnJv}TfW7!+K
zg|Hg1*QI}HfeF~nr)0c$<=|yQ4f-17as27^MWWMckCiOuWrNnn_2~AQk${(0{h>n*
zc((lg+;&`tc(?VRL*3z`8xO2W+!XdV%9px*@+rlyKeB7-ta4i&dmsy>AYRfX^ZX|D
z%S9KuHI`GAf5!D@J#V@NZddSURzKarP60-p7}NR+$cuB#j1*goUZd;k{7yz4YlAUs
zNvgNBo7Ak#Y;W^>f200KU$J7TaiX=_xh$AFlelW*Y^=5<G1$o=OlFbPYHe-(AgbQ;
zt~|E*VA~(f&)#Ku^12%*A#j@fF6EA@`8r)Tf^$CMhC~A%ak;D>@(IS-f`mIm#KoDK
zwX(NTQ&ZKCy;6XM_?}#<ve|R1VL-6JQ)0BTQa07XCcqy}*!<Fh|7<n>^5Wt`VIENd
z^M`L8C>&$>?JoFlP#pO5Q}|)ncTV2eu$?`advb<lov)IP9NkQU&lJqpiF>5&A#M=$
z>Zd1Qzq*4^ov}6gO2fHNfGh=nOS8B~!tx4oT_R)&Kn5>6J3ATx=C*uLv~xuN_eeUv
zmn9qy@&PFigA8=CLA(pciXrX5d;2fgsm}C}oHsi=4x4LhwJWuvST><)Ax()<U5+GY
zK)dXSq2l%E6(iWBFSlSkcbG`~W`xS9!Cey^c_5_D8IXjpUuu$!5E?+o2jiSoT4}K!
z-5l`Y7v3Nt6<OP=%cs;H`QCC5Sw7K;@j?Dw3*b`&M+oO{iQZ?}07e|TsF-y9;rUjy
zqeleea=-AploC%<eSQ5~%Hr-dp_$#+GZ<cat}g_(tR(14S1+M2Vg=D)5N?k*D^t7o
zOF3|1y9*+4BQS$rUCBYs4XPxxy7jp5rW?Pz`DOoHvBOp~UBtfr&2Dq<&octc*@4*m
zp}4yJ_^1Pxn0@_OB$AnH><SU!--84b58ZTNO!N6wRHccR45$wx8IvESwCSjJA^cot
zPFVxRhn763y62uIO-)TLT%49@>HgnQq<@?Je|RK8kL7S=cv{{NU_AjS8&G)4x33vP
zPIvXAQ?Go>8p68>iegk-9$*3fHx%*rYif}Md2Si_n!I1Wl$KH_jw~vkV{;qK@r0AA
z-<a0B@`ECE0Ai0G5#F@Bs65m8hxhmIILH6<N6t-b+^ji-<Sl=YwNTGIHXnMy!Q$rn
z%6((BXu)C$o9TIsWfX;9VY^(9&0+KGBWKwVW9I+Ou>Unzlq7CldTj_v4hKzfq{q&T
zos5i(`}L*Q#q6%XO*j=>MO<8*(DEKnytKt1wu@|}sz{bcINHtNe{+B<)UZC7#8TI{
z_Bd=U<NcFQsU{VFvP_S+r)^FJ{1<|Vx6*8~$~DtPRVAdAv!ecjG5^(Vg0uXI6y~y)
zQDD<}s<)?W!bvyEK%E>;US3{%`dFSs+@Ex>|Km@q1vl2|GFBmf?4+rwc{<x+7xnL4
z)c^WT|MDay)S-0aKNTKg3*f}VjgZQ^lK%lD{>xVU>mzoeDeVWX$c&`>b+Yk!uK%v5
z@IQ{nDmhRvvNFn)@jrt$e{ICSV-8z?!VnFYZf^hUuKn>%|G)jJprv9HV@4!hP*D-T
z00<<MB3$+rOOnd#5p@{gUHxOf)WbEdWl2Re`EEe3QGm@bSEqy2IjnC08p)H+_0>ZH
zI%B(*tI<fcS59yERv5>ZGYb;!>czLz8O8E*SC)9-cUMmdY7!58`y<z1r7`2V@PDc7
zPLOJRaW;S7|7DhezAEke=*vXR?n{|8NBD)j$)>}Ox>E~4NIwl=eYP@LnR@fb2<dIs
zJvNiA$QY2QI~rBLaM)3j6?Q28!IL)qZ3V-+#5>S1D<M2Pea~9eS4vXCnSu+Zr8R}+
ztI%9Gk;y2ttJfrO25Ow?44!ptD<-{oW;uhwV9IW^Fpd(2EYZQxKJp?l7HiGSR<J`s
z=g9FA7d*+_$R_Q6`!XFJoy%u|;ZGm^>J&J85~XrvS5s$Fy$di*y;fJqJFw|GtOY8E
zHBEzTtfa@iWwR7!|GXss>-N?yC~xTGlt<j-x^j)<i{-j@RmLT+47!Vi^(8ygV-iK?
zIj!r;+1bqg$bAkrHcHj@*FRITj%~7_Nu(8x#t|5VTfj`}j&vM`XVxk+;eN@nHL`UZ
z&0!tMnz-LGYux3sli%{T;m~#Knl@rzwI|VUT|OpSu$#|G%6O(0+{tx?ezb%+yKk*3
zZR*S{9<Sve5YS@W<o&C}xZx!a56>U?)0=Xy^4&Y4KgrQ;^6O_0IHL%g+V}R}!X05S
z7+g%`YhmI01UEOgqrRgeAru`t9Bcb>AE?ZnpP%pX1b|?D3(s8z9+IJsdy)k{HkKMU
zh$bDKa*mRUIn0o_wPAVr3i!HDpE6j%nzRiKneQYqnfA``31K_eqbf>E!Ke(W{J!yD
zzryO9YfpP$e%RMCnj+Z8?Rxd<mAv#uU`0j6On}+!A_cCb3o5go!wbQ<wxyGD#x;UK
zAksvBW`C@y5kupqRI#CxJ3BkIVS~3p==-=+jy>QbsfvQ8Kgp&m;&YFj;19flo%<1@
znT^nvcyF#WKJj=LTPcg_R*5{00dvFW&m|M%m%df?3F1!eVih1KpOsqOigH>!uEcOx
zt}hR4gZTU$&EP+JQnZ3i1(MC)g<da7@2jv1yrr5Zn*;{NNJ>fBzkMr|q}(H0QD@8v
z$$$jNqVdslGc&9kfoO>&x8WGe$7Ab^N@pWr!Mk_WvT}|DX|gr+u8Zaq2KHBaTZV1a
zk4fQtPW&fT2To~s)i)T1d1Y51SqeUK?AfM;PUg1>vT6Zt4=vrT6tguQ?Ck0u-$yyw
z+JdUiP`A>Cy9$2t$*NBUTlplEw9s6@D~}jyYd-xV<fZ9#d6Q~~ZyU{j;}oMjFG#d;
zF>$iY+GAhb+l@cEQp8onm`x2;k>N|T(H&@+Jx<LXnC=)ZkD=qVOwf@%L(};j{nA(H
z3ih*lAI{-Fk>&N9dAh>7mraU^xy8wNuY@G~P{M0Jujz8X*Zpv9Xb`Hcs_j*5R5zUE
zcWmghRo?Yd^7M(&zfk@4`KCK&sY8e<dw8PODR+Cava9*{TWMHayYXx&w@oGvrA)H8
zT29Tp|1{QuF%m@uoOlE<(&J;qLt5r<u1}7?6LSze#>X&Q=`u<mjp`kvc;fre$;FT)
zhlMzT!VzkAX{Me7ECiP)Mo`IwbQw3ePa>}-kzq&g2gAr2<&B-z20zlI)?0K$F;rW2
zQTd#&7uX;C{we%9B{~oXKlo%m0Fq=gg`1=R!dqL|o^22ty+Mh&b2FPYV}l6Cm@ba#
zBE16n030AT|D0v3gVD6ge!6-#=dBR|$^ORe1hCr)$IWS%&_wP}|DC$k;64ks0UV_B
z_3w1YDdhEGLH6axtZW#RIp7l0r7+L=n-oWv+6e2Hv<EE5iUrF@x}cN~Nwa+SRbOm^
zS&wM>eI_Z-asb&^*IShX!NE9QB5)YhLPTZ2&GjI0ww4)=3iRXNpaON+^}^WK7mhmj
z_bMWeL#mh`43;WhSMi|1=Y*g<-DLI2+=Kvqr8v}@Sj(9v(|`_p%hk5yfaJUABis=G
zehL3e&$U&oga<Q4bVU=K6O=aYt1-dar4?HC(&sPpvFV`?K;(&Mf?1{3FG;kO);ER6
za-09<TZA#1khnP~J+i*tF{sSpN52u!>6xJ{(`+}AFLZ1p9Z>-yvWi_wa1Yz(Foh1w
zVte&=iZ$Qbr?dlE#p77kc+7e6RSkhI?7E6>>=JV?*EzJ~>`ovzmj`7WXS5uKvgd2L
zO0&o}7l~JdopFc!*kAj-8^69hy5ASPmVoc(Qt?JN%PyR`X2i6B%Am$!wr^G^W$4Tg
zyQ?1s>5$bNbpcnKrqq6cql~huO|2`vsS3!1Ly7R_`KC2Otg~}V)1kP%CpZ`el(UrM
z{pg}%gU}+PBu>UnmQB+zccRV4lW^ZMU^?W{zjIB@;VVSJ#01Ka^^<%8z`8hcq|iBW
zrzJ%cBLzu~<2<`$^b?xZ{!H?o<)>es5r&z6{xq}%NP>81u4ak^9B)kyiVvotDMi49
z77L$-uq5W~)*yUyNG!z3_6dryQ4soZbZ)NXyIE+;4|Pcw&^gm+F1`GaG9MgQb{{~k
zeQdW-&Ypu&K6d5Sq0rTb+i0^6f8=zi5>eY$L<_xZY<h%_31cGTvO;Ai#IbE(CGaTA
zvzxtb4GeVFG=};F>83dkaE6G6NQNATxR!~0{L$?cHp2;(iuX;pwf*o)G6m#aM!)1K
zl1;z#7zZ57zY0R|uV%o`3cj{V#`xa4h|c=~MMs01NxV3Zc?wN!ABcxH1`i8mB{t@d
zF~&g!S5d59?cX_^vnkD(@tyOxMp~53%lxm-vuCWcBlr1IFxWaYaN-=na;?X>a>lKJ
zh}5t{aw$nk`4;#wjy0EGsHawAehRrdj)bmz0%4R%56HPw<l$tCdJ}n%;4)5({2KY-
zwVq907G2jZrrX*coIVs9wlB2B5nx-!LS+>_u1bP6<bxE2Yg85^1clH1QBaGhN6<Mh
zi!a^`6xg?Z@nC1QgUgR#<3zkOw*|_9@Foo7cFv#8F8L^%ecwF2UJ?5SII)|{RxZXF
z?i_hPTvF!ScKngJn+%vxduLb)?y+{F7eB%Xpl<h;o;1yFiMZ_6FK=n3>jIN4Nu+&(
zx9I2YbY<hquv@2#L~IrQNZ>z`Ty}HyikStiZslImd47j+LI&d%n%ixP8BI@hyAs93
z!<#$lVA8kZhTI3|%v|M-6_8w6bhMev9I=4kBzH%KPK_dB9xuy(ycw%$X1GgC#8ldJ
z{M`1`OI;(}Og4Dn@L<i`6bQv{3k)R6ijz@;_)}cN55WGI=(MP;s30wT2C7&J%8rwk
zo2zV^?1Men%^~cgGnWie2&;bh-j_ZXH|k8n9?1}>WO9<-ozT1r;<~O*qOjrkfXii?
zaH1uS8w`iSDjkp(U+xZf*bIP1>ea(b$EKraaF&(y{g|Bh^+?IA?_4WsmZ(G`q<2v3
zw7FmuN^H0JqU7qZ07BWd{$zg%E}adZCRn2xPEhs=-H+SvQ<puyS)>ji36b6KAtE1L
zMKjWeQ;0`IUlwiZP+gyow@@7g`06ATi#eya4P%R<c=g;Dc|1q4z*O}S5QTpQAf)dZ
zB?l2}Z<*UG-U0cP34LrF;RD1nVP%rI&eFb(Q6(?7ZPBCU!njOh3Y%t%ve{r%d_~?6
zb0n?CN-qw&_F|4OVnPcGX&lc+##e9vX;(5z2@`<$>O}984ot82Q_agF_9H6T@BPRX
ziKsQ8+Q*Ch&f|r5rWX&l8NDx9+&A)xo#9*6Y?2;24iWL)NB6pD6~TcbM!}^OIXJzv
z`b<GY+OoqQXaT(`LP3=0P#+_?ubaw+95Ug6K|~pc`6ERRM41ITPZf604YJ%gntC>R
z<#?LPdAJGs0g5aXu)PSln4W*v2xY4n`#M;3(+vT!cscdeF)>SHb>kvyXR^WVT!7MX
zqx7>`q{O5PuyYG^0_VSy-p3}vO2bRGl~py;V{_t5Nro`(sW_0Evw;w9__>TkbMzJA
zd2rQ570aRU8sDI4_Uw1Ew9UI#@1Vu${OKsVT-gmPv_b&;im)3V*sri*=!R2ogRJKs
zm}rntm=_&Jdqv!NI=Vi}vy~fwavLNcY#vcwh)&2eS(v|S2oTF<%-(_hPOn3NGF~fo
z^s?d-5i~yftz1AQU@?a`SZF2_W$|7ukSwgPtG;as0JRAu3K9DO^02@Ut_Y07$;6Q)
zLA|FUVo>ZOruQTY12K&i8`9AeJz+wV-lYzk;iFlhm%@8;?D~6+mD6QknSw&7j0!qe
z%g8kkXVm6K=&!xau~q8MgI^G=K?mg)ta0%1=o^!4s+m~_CoCUp5C@9}Y4O_QRq)-n
z#}A?0Agj*ppk<@LzBn*Ln@q=nnMAk5Q283<GZCIla)bk+k9lM11ZDe<2qGfGnWB=6
zbQNKKPh&BQxB#RavvmeZ934{o?}hAnaUDI%Jhr-`BHSm~7K;KFLzrgt26Abj!Yb^M
z&iU7z_DPBq^mZKLS^){TJZBMZ!(8`!2#23GqkR2yjr5dmHcGGWj&9fbXP3Zwkk0CC
zaT-M<MHdppXFLi-fhc;zVZOWpXf_qsz#s$-<gp~!zkPP^IX6OVjfIx)cUPYtYCu4D
zPW$(P#R(teth-PD;})z3q8i=^^&3#Pu=;r#FB#%XKOh%ZJi@DeJ;@tS6Yn16kLOT`
zvSICdA6hTZbwE(q;&d-~I2<E&C2GaEX^}Fzi6S9~_DK0b(Q$(Oy`Y<$W5*lOLrNw_
z1S6szFG*?i<d9K^JAtu~y6k!0PQk8<Z&)9lneTNj#}x<#ug^T^OtIW~SE0^9eG+tO
z+r{4%vs-vzM+^sd+42-}h=+@E9y6{H=O|}4LF1vbFsUD&@OtFsC%7SA(rf=D(<zru
zyP;R_-Hv%+RtngKSq%fPAcb*`2)x4V_i0ub*>LRrDMlG}z=3#@Pr*>*AQQ9Z{Zyb6
zAd^R(OqNaJ&h?sOQlH!>*h>Xr=#TG+7<r<|o;Fr5g4s@1(m@o@i#vFCT<^MCX|QKo
zWV>`p1_5Jbz(j@8wzlH&P$0Am=M!EC^e+Ce4$2R&ywOrPnDADRSlmOvlPy(=;rD|>
zxyvw<NUxCkpiZL65tMcS7IOrF#L%i<N?D`$qpPlKYa~KK&|4}-lHo~yMCYg!D*Q~S
zB*Q3|P9#(r{@sj~q_ZC2p^84q)Nx2)vzO?R>k$pX-^ba8RM@1~2g>1gCEVK%sN#Oy
zNx_YR7{qB4)97<ylT9VKZP4w3ncvy0C5u32nbj<3JT@Di8%GAF*rV8g@QuU`_lWQ;
z+&lDA-n&uUtV{(N2%X2OB^f!^ed049`v9Ao`mR>aOkr<=R1X)rD_U;D37z_8J`&bK
zy~6HnrOE*wI~c`3B(-dc(=g;~X_w=zSiK`mwTZ?}f*n$#1keg$eYecAVaT|B4U<;x
zjD4iw1;!y~2K2=MM|ZW0@g3_jA?|7i%>^MU`8d=G*A369_O?CYO6H}~b9A`4Lxi1e
z-CF|CNYyWp<9PjWya;SI?lOT7f~Vdid?dO5u|(NnbR3o8hhk87+Q2cvOK>l~NC2zx
zZ7?q(*jE!*3-t;)RMLHPW?SCwYiTkY4!z@n_3-vcpL?T&M)%{T69l#&t$ZlQwZz@<
zvI?K^JX4q8Gwz2SGm3-1wLqoXqInM$u~yrSUPK|VI;8?Ot;qt#QbzR9C|WPYG)|rk
zf5DcbFP5BaQ^yAJdI2<`)iqMP>5+9p@o>q|dZf!L9oBE8{zfPpP8J#!DyIHq&nn+4
z8x!xyy$t2?GTMv|!AX{NyePY!V-6FYqqj|xeMpPVW?n#EwLiY@K7DxKm3vJa9zcJa
z8dp&9OpwCxp!(K|8S5cXDq)m3$-_!BR{>wajCo!h0f{KU+D%Zd>)tx6Hj+n7(uLx8
z0!OA7QMf^vPJcH`xn*Rr9i2s2@Up9{!LS2>IH69Ht7VsJg;M0Vo{kAg(;^a}d(6MA
zVI(hWrmdokbhA=7w8@4SUv!hBNv8;ximnH~`i2$5AGk?~ShOm=(2|I?elPV~JoBay
znw`bxPl3wvL$NR?60O2bv9sqsV(tG#-OU+t+QX9Y@^=bK;JGWe%Rc_f!|H8}7SpNT
z82@~`f&;-m$^IvMGpI@c%_n@3*dsizz{~HlOI=mVvctSoUQn!?<=L$+!=CJB#3sR+
z$OP9fCI@vLlAh709dj_^QS48q-pRS-A0K5%y0PLc9TKI1L+k{sQgEU^6c#_$LUCrY
zf~Ko5N%rWdbUYJ~?oPMVP(2)25$6V3g|i=N6hBy^qoqD`VLj{e=3*arHYe4-F5Ag_
zqc_JqQt;&>f!wK^&miESL&*6tq;(>YF&a%hoO8`5W2KfcVVb>TBX|qn32{aE?JA+K
z4Qy$w_2OF7gIP&R!!YI|L9EBD=lFSmSG#AtWs(lM{ZzJkW#-;$?tG+Wht-wb3wd@<
zS;$hS%aQ@c<PguaT9?c4s+$n+2{%cmMq-}<X0A{Jbm<C+?9#=83l;lOFS24>jJg6b
zE};lM1zJ;1dF%;&2BQFezd1*XL3iN;oa7lQR78z0h<KfT&x_fCcx{Vobs~F@{vp{z
z_6&tgcrjyyvVXQoZE7cHjorP>28C)+#QGtZ7!m&H^26iNE7pPo=ve_BD%}>Z3;yVg
zN1|16XN$+NP{u&|jDUGqB5x$V7$eqS@DfG$NjQWsDZ2f8Pedbh4m#Ez8RTk_6@ec<
zdd}1NOGJvmHr+CtLhsob5P!P-D&HTL;<V(%zWz4GQ)f}Rq1Am0p9cKSlj?{9W5Gfj
z|GI9E0FHY}s`EQ(U=%9d<5uy8F8u27)~RlwEXVB-gV<ZtUb?FzqV2L!ky%gseOj+j
zPqH*1Jc)n5)|k^Yn<nQ5CeihQmHcp`RQ;<MoNwO-g3&vmnvP);FKPb1jRMaI_m~v-
zF2BDwhL8FDhQ~5S!C?Oz$!2@O%)Ui}Y#XzO-2SK@EKFL?FaA<OOS)R`fN{UTk!Jam
ziI|CLZx~mgG$>WLESBPBqQXO}?{7KJ^E>v)#ViaW^*FLg0NVPTKIgbbA<`*#ZzfD5
z>;oF9?>$fmbY@;*C{;1c^L-%4=I3n{<)pIJ;6i0DQ4t;Fmt>g|!;*^-e+q8(5~gl%
zRAy^+tKIPpPHI2+Slzm+9n>zzp2q!%)AtyAwUja{K4l_JU=b2zbT)&dysGj1@oF3u
zcN89)jW|r_T98z5IbQlZjO&C{dvY1hPAHs-ZxqMrSgZthOX7zip7Z66kqd(hWl?^0
zJnHD^V%t_7lHmx;N9}xeTLt*vLqjR(3yIfMXj0*Qj2OE~<@yYk%|uU)-WdRtJpxH;
zX|JT5WiNSQ@Xk_`h8R~GH?wg9tRkz^M=fZH43vgHR|X6WdH*KmOf=BS?bF@mPBHC~
zbkfDYu$Tu|9|)e!{*)+Mf8}FNsyNy8B`?ulx>KZ+4>HIBHE-Qoq2Lw1)A||I*<hR%
zc@_r5SY(m%ZNfT96usuwgF&I5hA4u^zE9sJkl5psg}hhVB8K0-fD4#cpUeLK_8um0
zb=3_D0!gJ*687+tSs0OXJ~+oUh_j%K_{BxXv5yzzk9#}H07M5DsDSYW40E->tI-ga
zv%W3m<H~MG%8>YuLODvE?fgbiho-ZXa9MPfQ{Ug?)kT5~hQ309)A0I?JG5I-nB*hH
z^1I+t;-zS4k8nk-7x$d-bY2LnrEJtRYxHWzsi0+M;N>a{R@Z~;2&Lok2GY3*(zPyN
zyyj5VMs#`zVIvUO6i8rU4PC_{6s{cNo@X@m6?UaxPDh=-<o_LQu&$@0NGR`%&oE-t
zI{j?;L<J|>>18qB<z6_1Ld{|<fs0KM{UJ$a6UAznNQ|H)yqHk>sM3@TZy>O(T_@nS
zkqq<I?G!u);jCTi9Xma41-xr?>YS%%i?m9o>6L{s9}ui}*8HryIIOQ!!Rh6+(kMuP
zsUZE&*VFpB*;GtuFE{jC$U^W<*g0SHxC?FyXMzG!%3-aDbLciSFX_tqv!KOQX5)h%
zaW{w?RB%}*PO#{t=)oE}O?<0l3tFQ4Vd5$c_(&Gv^sQNlU|1N&cjI})#6e!6Z{h{?
z#bPXC4U@1Xp`I*Bq_l$9YMAb;4{s7pQTW1+9j|TEqzK?*rpXxYz+;?GxE1+x%I{F=
z9GizM7SL;_ba$>tif4K|2@ni}2#hnu2K^muob4CiBWDyN#G4I?=!4$_zq`h+6M^Zs
z+ItJH@vP#F_~+NrFc$d+=p2_xW4!D5cr!MzuEi8#&f3PvqXF##6fjZWdY`fLwPudY
zzsE~8Q0~?lA(kjQ{p|`(ZUtk@hI`>9dGxTUQ?y}QknVPIZcW-CDQ_>$JS|@CCQn+O
zxLIae<yIb!T*f)p6XP8B%s4RMYxfhBuxWN{NovQnak!FO1NqS0b&RF)6@eR;$>&*m
zg4<yEMMqn=vPBkLxCKexkK&z;s4O(Hay%{{?0T1_1#!$oB$LDvT-Z{a@?&Gt=<dM4
z$c-|lMM@`DPEI}9dtI|Q&ND3m0c8O5Koyx*S)vewEMEL+G&z4{;uB|=%y;aYH2z61
zu;=tvWehGkEpN#}bg;pAm$RnCY9kZsL3`bJKU4$O+efniyp<w{5_wM287J)(B)W*b
z1|$R1FbN8Aa_*Yhr)<%+9|r>QRnG~?>eO+V_j3an$Ln5<C9pZ?$168yYg8gzCEXy9
zCAhwLr{t;*^`NPh>by{vf@Br-C`bEK6xO#rcyh+KOO}Soi8$x*P{h_?fkZF}tKne}
z<U_bj#iz?eF+@;f;8r)RJ^DypByQ}1I%f~${_-zNpMhQl^iM{m(W66RFLP9{#fIN`
zXp-X;h1H!4-$Ps!emB(jIM+7@gXsE}#f(?ZuKYV`a<pQ=-%9a9Gp(ZyUfPA=x^oN8
z#{{MUk6pFrZt-0ZZt*}k13Kf-3?;c(##=&w2=!YrROCJ^t>E$?*z9Cy_JLRwJC3@u
ze+<hy$C7`rh~{kkOajC!7@NGr;fJ@c$_i<>eE#wsj!1!wa&_OM;2fq&3^$2>aFRNn
zbFN>$gH25Mj79c!HtR?n-zLVBY9;-&+eKU~jzJ<^{DAa8>b0!?u!IXQG$@X$;Fcuv
zL%Ud%)ooeTSTeb#4&3h<;OqzqIZk(0I2g$x#0jmQznDAO`ctdGE1JnMg^a)&*9-5<
z@&p%vZBBkTEl*^DktNr&B&F_gAQj{`4~qUv;GbymB9UcQ_I`mb7QP2K*vwE*{)x-H
z&G5!C98qoW2^D|HissrN5Y!%JM%^<knA1!Wb`z_}k=Aohz=jprnkFW5S-VatxFh0=
znL+KOf@>r>+GtiH=7VjDyt#sE#uS`PS*z|qnn@mrl_oT9^azy!qvGE!cZn!Y%#@p=
zI38lBQC<l!UvV!j;<5Bs^-AP*ligP$RcU}`25z0rWOxTUYt<Dr^HEjsmRYgXxn#JU
z(sEI0O>}XFd0vi+kxYo3^NlU)96P1$@G|Y?f=+)r`qTN|s`>VfFq$W+9VMRMQFnM{
zr;HLqC3^?^L;F}p=|-sumWG-^R;kb=nO>{xj4VmFSNY%pNjJP8;1QvSl4?7n(w|EK
zo9*rG2Vf%XwFd0;E-;SN&JqssB02lw2nS?k9)WH~zwjU@ek-rAljRxA6)}Qt&|&Y1
zx-9GRXY{V^$RiYdtp?O{3iTq+xR0i$`YD18e&=2;iP}qA%A-4&sM2Ub2Pg!GpCUyR
zXgLO#6!n2)<%2u&s%8^hxJ`|n7csLXMJM{OaZ6$GCWPaX(}0$*SF9q^uWsVR@=f5@
z`gHEWN0V&F)Z#AwX>_!>R`&I(xL4G9;QoMm*I67nHV4txz3!j`rENtY8nu8??wsZs
z(;>@n3cJNdAVThBd&#T~5|qVzh=WRmQJ->I%1Zp+rp+Y0OL@l|FIMU-SWMd>O?UFm
zboIT5Bo8U_6imFZ_bl?w+LrL?Gu$(ads<<zF3uiuuaWZAuRP8#xf?)wcc_R6eS_7E
z12643nOKG1W(%9?vg{|w@6cuQM0_K0ewjm7y-v@mjE1G<<EzvaT=KX`29Dl1(UMP*
z3u2w{Olma8yhfLF@&#c3fNH%8v#cj?75hj6pFlG7O)elivmnM&LcSp0H^`dn**i3w
z)z7mk;=IR=R>UHZ?%#8IdRmrVF)2+H8~mH7WE$dNG%os%aopBqB_FHuPNTMB|0o?L
zC8eApv`KC@FbBTuTcMRM*DT?EXsZ%_9#S15YuOkNFTA$Oz_GqFInvK_Q%JI)q`k54
zhHIMi5%h9jjkoI4SLK~{Ao#I0wfa6TWS{z(TBCHnqg+dH)u{z8A%2MRRJ@f*-|3Il
zGs5+GE*EtC7K&V0DCG}{vrTxZ!&lBvt}Y)Lz6Iym|I|oV2wsD6`^f4Sz*KJn-Ge0Y
zR~~dpfR8Dc9)0_BOL%N>Y*?WgvGQJ))lYWH|F^*RuQ=cso#Vk{y_7SJ%zcgQuLV1N
zRBB4Dgc!mHe)8C8A@H2=(xT~>))+E|CgSMc_I+!K9?00$41sfGkI9C;)z9(JBx^iN
zpH9CR+?qF&w4DT7%41dQ9vk4n<E|=k7}o;=IM7XKTSBDcDgEuGz6X!5GT#hzb5t!S
z>7C!8C=B&F`A<ek+s$JbO}WdkasL3gXs`%U3k*e?HG2o;1gvm9sC7-QqlNCdp4y_<
znFdk0B>DJ}>Ufg)AgVR#;YdJp+Y(Qp5$3_+)ax6FkH^$k^{1JXwQEv3w|w4+x|_`h
zvbj&FFQL+7ViE?hCU);S_{0P4(hT4kg4+fYF+@aBx`ToXJ?YEjJ~>hodv1RI@ss}*
zq(Lepu5$O0(zbWj=WoA19Ash3{ftc=8A%Z0#_i1J;t|i1Q_!mLlJK6~_Tx?7k<hsG
zO?_A)^l)*nw}yx@L}`0zqKee}BS%Peq!dT~1N=5DrRd@M$*6Yg&6k$*FN>BO7Zdag
znxbnj_FD-Q22Y+$a#}f=mA~x<rfT3Taj>$b*Hi1i2}G*XV65>QRdZAUSI;^3{Gw&3
zW7~<Yw}ar_!J$D4QuPDqR)+_4vG<9B56gY34TOkPh*X&(cU4JFOA#>#7T&jsZj-y(
zFM-&zxsKI|(nu;85>-xEZsI9tN9bf;v>&XeJJj0^e|4Ib9*~FW3^c|ezu4H2T-_0v
zhzKLP8Y%U7Z!-)VSc(w6o$yAL#ZAU{_!-{D502|SJ@SsJ&V))z)jQtZ0o0hM!gF|t
zf#{1vbAQKv8?Dn{rT%Uel=UVos|1~Xs(6-<-HDl(V{t8Hp0nS+!_iK2(oVWb=x(*R
z7WAM&`|}M?K|uWjWbY4O>ci8|o3}4q+mt4P^vT2lxB5t%Oxjr!?8V!OZ>()K22<EO
zysIXuu9Rya=R@)NPI5+=(x0^SnT)IwO$B_y(&v~#txFr~-vJilnS&6&VFrl%{LI`b
zXVz=W3`S)@nzVK`uPd^7q*I)SS3F(ey}*XTmKY?$KC~u_8jN??&DY`Y;`aKH<gLUG
zTgmwAb<J5B%iuvz2lj=&(w~@hQx+$q7#guPy+*N4@G5!d^_g!_6X;vek1sBx>umkk
zFHWOPFPExF;aTl2-KO<w?BT|Pl~$$hm&WoEmUz>`FU3!Vu6*7nNi<h?zC#oC@pVug
z{d|NbjA1;thD;0kuMA4{HjieuPb+SzJdMUD$3e7Ge9yxmuh)_J3j=`~oU#XL0~)J5
z9r_m%RV42@KY-K--s2buGK~U#C!xVH-{%sS0#3sN-qRAgGcc=^G@oxQB5%%+1wrkK
zauz6=?ofhsg<hv3HZ=kb3XRiBTZMG?$uNR4i=|b&+-`gyAt;D9<2KICY5a}2Ce1`#
zLH7Y)l3vHP1n(`CnAJ*zOcck1TI{_!pWiz>YHHcDZkQIiZ}p<ow2)nr&^}KpFUjrH
z+exatyJp<*5^q^DlH%BIj<A6jIG!sM(=;rCG&3!S!|KR8tM`t#1aktSHE;adPVR|n
z5^S?u<1an#Ef2xDQrW|dOJ6S5+{V34b~|p@cU7u@*w><#SpK(1rzg2gxrwpsOe&x!
z7_95Pa9RZOd*!{F=@t6;Q(N4Y<l!DX78D5?NxhcXA~9h7usrlB)1Ox65QaP);61Ig
z%HF*laog*+|Hi%x(EbgT&_Lzp!`*v7KeWE?y{!H9ZQMkvg8?IFR95zI9xIll?|6>G
z+1KHw75J9o#&;1?OTmvXA2S+1?C?Eb+>I)4op8)TnN&UC>$|@+dJ9rjxAFN)zJAis
zH+0^&5RTTw3~0d$irZ|?p)uc5w9G~Whxg3JA8f87wp4kP9`2QD>^?~^Fe=ucyC`&h
zkzi>VXmAT6dUL>0*y*<`{q0?nn3;_`TW;pJ9|_6LO&EQQ(H7$>(B63Y%T`-s{9Nq%
zR;vv)NgwI;is`lWzE6F@>(|o$JGgT02!)A$y#qoo?ki85I)n08%{1vnFR37SwBKoK
zESjy#iScMVJJ(JhvU#n&7Q{A#yt&{%b8O}mE@qS3GnQs#Sqrc?V(dF0`W@Zr>0a4K
z9&yvjK+W*mvQsP15#h;a%l5rKxY3v(29;w9H5a76X9y2?3JDhc_C+BkF#G%Zy}dPq
zh3sVtGQ4_%U{xsZ>Ba}Zdz$xVA4qC#XwBpY!xp%n4Vwd$TYBZvP43}M5?%=5<dxk@
zR3ImFH)}I*<2N^>DSJDbzcLvVNXRKO{AkwO)=K&Prc362fbjQVQ{7hZ(sQHtMj+og
zw@3@u=UHqd@7FLds6#XlH7Pn=EFlol{#6Eg0IfhD=@ywTvdQ4BfpmS=?BfBdbr0&)
zLnUOVZM4G8J;f7*=u(aFJRT=G<Yepe$#@7LnzEzTOpFsUz|FNBE)jU@*o<OtCqfQc
zF`i3LJZ{?=8eL3C%32R9WtsQ$c-FT|e_mkPyvuI<lB-)ugfCCe8-0^T_bOg?`t5w&
z#~2=3a(32rmhBXt_(0(__P&9$2UkjrX)PmsO`XV}xVj=c2VTNKU;D^?a$HDxkuva#
zN)4%HysHL|se|e(U(Z{C5|B?1oF)R^4e?wJ1FzCs(unIj@9!^kH4d<v#+b3VQ+qR6
zQ9=j!w|d=#@wNfnu@Z0kLsnK4I;ytM_PC)p?(TOk*2DYHfLF{XKj+u<F7u_3_N*UY
zA4na4ynltUuKxb)ceBR88}h3&-|sf{Hu$zRtcC<@nnpM6e6qqac?>7(8I*a0X$JT1
z7s5&pSy{?>h4Rx`_M8ra&uZhTZc_R7gx21o3ALEge9xy3e)tV^5#UjT>M(-{=yBia
zFlqk|T6%9*t+7RdTcTVOx8|HIRj<5SM3+wU)>pLrZ5e40c9&zJTio@=8>2@6#tFs4
z(z%MAN|wmk?|zpO<$<FvnVq}FHY^)9!K(8tzn-?NOek}Di!~p-J{SE+f3WV6eEm&F
zpXF$DH)CPq*O7GoMdK*H%s|)fsl?TD#X=;yZJ3waZK{mYp8nu5#ynTlZu(&HF{kjH
zVdV9?M&wTJ4<ir9>q!rLOYp};@3m<1L)fmW%IA4!SDFZ|_0ICqwB4bb%ejo{D!17C
z`s)we`Y2glcP9$3GyEYOvIIE+PLr#3aef8JnAtkz)QuM>7a15oL$FcqvdY#tZynyD
zg4mIdtTRbFICJ&<#4vKVtKe5|SIpJUi1o(MiZ0UDE>(2L@sX*xGs)ImR!-tmZ)C1~
zP3LRt5_PAH`<0z~jzt%PL*t(tTVL7_yLU|X4sVN}w`kIqLJLx(ptnGHkF!bWgSfQ`
z{`-e62|O4u^5RB$fL0T`<nChLh&{nupWfW3dB5rIv{_X8#Z}g^X5(5f_F}PCG5Z|i
zKPov6EUMmL^}71H!43hj%_I8Up0kL{y2*?SxBNVb^%Xy<v7~lsr>dUKP=auH6Xc|>
z`JBnf{Pu1h7_gIS5xtRiY<N2B)!;9CNunrrh#2seN%EF7a;1hyc6m^%H=!?H*26M0
zCs5z3B$^W-qIoYifb(L*0XyLru^TJR2aP}7HwLDU4;B>yP1Y<+kY0`~>#s}#awT0P
zWjQp`fw5;NypgN6tUr)7uQ|KQNUZJg38<dc5KlYci+Z0KzJng!2<lDnZtXltmHOJE
zI^N_K!&#=6xl?s5%>BFMrDaj&$_Y^X#jNSrz)6UG>ah$5J3)%Kp+BsY#dzTAXa7Ln
z_Dffv-83Gd@t>Cm4+?w(+ZJ<tvcvr)nf~>ErjK2u+)}ow@_!<fTCnr~^Q`G{?XN3q
zzj^BXpLZpj+-+|~m^jbfKgt|aJ~5km(+M+u@{L)tN&kP?pue_Gy#JOh;#6G!ZHK`B
zvZL4s-n@e*wx@p_@%iiF|49gzS%Y{Z<6Q{#8~;by_>ZSsUy?jjZT$ZS_#X@MA7|?S
z#T9JrPM_Us`sc=#kp=N(d0L<ruSxkb_Nrd(d_vDf^6mHrv{l3pl5N`@oJ|T&SEilV
zRQ^ml`Rh^E`ve~VvPP&Bhrg6XoE`zY-{H_AmYvA@r!~f6f-*a^sM@s}Ky4$-by)R>
zOV&ZgV%>n>&O0}KxuetNcxq~y!@;+^O(#_6(kC-6;g$W8ub=+1S$V`X=P~c6S8)~d
zpnpPGR#|;*ZDk<f`rz$GQ2`a$^E>%FJuM0A*^uDe4%3T!f6MlS1fC}CE^B4=U*g+Z
zq6A$!9(&=)hUK3<m~k67)?3ogF_53&k`PQ-+dA*&LrOPd`Il^S$JI64Ak{|4`R2ub
zsa;n8<4PnYc3cB*haNLh7GUGbip!o8I+qReR}Qt9PL_i9lP@MmpZOD-b=s~BgvBNQ
z)c5DRy1|lu*i6ocQ>k{n#~bpkFy(EQXMc?cdh7o%%2uk07Y=pSwb-oB@IMere7kCd
zNXmTsZZb^@XNt;9gU9Zn@zOyhwhP)`zF3ppc@|rz1U89%_6Ig1#u2_7aC7ma)c@$q
zA`tA=?W#i0u~ESQesNULR56SGc8-`&HT6H+!*ZzH#Ibc@i6bq5jc93OX{GCh^*`LG
zx3g~Jl;cJ&KmUanRhJ~@2SR^k_B4*14}{iK|Fz1km>8_O=&E!Vc=6ZnQ{m&;U`erM
z)zzZX#}k%6Ud-*M@MA8*A(!S;hL_Xx*Y4g|t;$$@wSGiO+eBMXiX|l$jBA<kMUG~O
zS?J&mZVEO!EWrZKNA|GYreLINu^W)Y%@>#ohV9HMzErm1npyX0oSKv7lcpaB$eYUo
zcf;^!{V$IE0K3a<1AoXp#8OQ%tb1lq3Hr;Oq)x3(4%Ol*{l7+-rHR!_mv4rjdHp>Z
z;lMx-a&@W}Osr!@ZMoh=$pkpytT*IjwE6s3Df=~+@Zs(`6m9ZwoA+6_Pb3>6#{G`E
zkQDv4OF-J8%Pf_3L%3hoys|p&9hvbaMzPY@?@tz8&f$Yb!*5O7^fI?XkJ<b>zFE(Y
z#A0Am2;dP<uaf;%d-a3oOD~)!zKENg_2_H)Wz(e{28~NJ9ZErz$M#qyL^mMzx%k^`
z>(Pzhh231nln@hCj=n8R45jZkHl~~EsH!5HXZ4@W!d^&&USJ>vb#HRFjaqh=dnM|r
z!5b@6qfR$}nQt>jo<RWS{xko_;Qu@-t>3vhnZ;lLHT3!YpjAQU!dh9dJN~>=7h4Eh
z7j2J;>SFi+fQ1e5-4-ykdQgFGHtxi-YGAzHCSI7|Vl7_Y$|dL6GkWre8~buYS$B+j
zPPN_pQ;5D)c6{84z;f5-gG-?-wgLAu@70RR%!<`akGat?sts$57M2Fw?3E)Ys;caI
z_-Xd?7t`VkWXttYDIYs95{q*gVMhRwql;eCYv+2tw4#9BtH%QpwV~7xF{;mY#XEl(
zJ%cdSzRCTnSOqxRu9=qw`kE{1o2)y1CuF1;@R>Up?r^2r^)J>&yr*C%DqL+a9y&eR
z3)J9uO}aQgd_{R0n&rRP#Xi_6@Zn8RpX)clwZc+Z_bbAm2Lq6RC5R}W#Fp_`nfYt>
zSA*dMGR=pTqB{|gEPo28$fqrg|LGH%HT*Gg#(B?6|Mry3fOxe2h$hub)qYhpe+fS#
zfHr#0e5-2;K-HuqZ}Eita0M$}d+)>=&8ITY+ZdbQzN)+od4?E4MB93SE6_RZ`8oYr
z7~-Ru#M9*VU#0F~pUK{L<lx4)YP{<2-tk3ZD{O7P&>Pm))sfesJ!!t!Nk=qqs5wkY
z2$b7~mxLB7e&TRUEPR$KNEK<g4Q@VNDvBjImez^pXjENO3(a!rm!O;XydH}8e+Z0R
zBv$rSuW#OQD^2&Wr3O!O2@dh&-tCUcY8U^o^CPhsQB7NTaE+nL-7IbKM+EiR@}CE%
zg?<KzJ&!uJRaaEMzbv3?(LMFLw8{PR@|`>7gs#Ax7Hl3Dm8+7;C5X1ssxw@%Nz^I@
z1ssr?!^ElTBWlm}_I_u%uMNvgCu-zVQ<DMChd2w)w|;(~1Dr1c6Eu)kPug}5KLz~d
zcb1W3ofuEXyG`7Gt^R^GH)oJIOg=~EW~Z{fkgdWLdyd}i`tACRd;x7`C(k5W9o9!-
zBTC^vtW%9ejl9=C!L}90p5cLks=X`@wdS=;Q3CmBBu9H9&0`qefx7AW@E$gTZKmeS
zTP~3HIRJ}#nusS}KL9Xow;x%)p>0OQpC?Xy`(fBN@hB4ghw%2}0!zi`9|A3U{d%fT
zIgh1u^LoEtj(c*YUW-tM&^Eb0X-J*@iiT^atc`}FO9ABstE;jnb#|#=^6EBeGZ6*0
zMX=-O`}MXP#P_Yjf&h;sP-?st-Zo|Jh5P*;%`R<*Igc9Nww(QRq{7}dt~{BivW|Rl
zco@cRc(b#6?eHp<;MM87RDXak@aGW^zXRhp#r?+CJG|(`_Lsy_R`nc!ORRVa0po!!
z!1uHIjGEgEzi|T<%SB!DVkOVVh-UwsG`$K#Y$4M!?aRO%tB12A!hWr-_>n7L!1+X1
zdVjf=#!*;(-|z&((D0Y6W9vY5Ymq+fmR8k?To`Zs{YXz<RQ1;%-hYU~5)1(*HTPAE
zQe#r%R#TZuyNlt|!P47B-ILYU)Lhldnpb6Zy*7T4BAWh`rY;~ToUKRXOsQr}Io++}
z|HyyFzb;rVU?^aCw(S_;GxhDm?Dx~5)bZOY8B<Mn*NbD(<yJL{wN`lmU_Jk7YH<?I
zw-+au7zR?r7x!n0;W2AXSSieU>&)h`r@(?N8*E`KN94PAHDl!?ofdhTy7ldcWTeOV
zRw%E4fAc}+u7*?!Q1$4bx~9o~Np6Y3{WR5fjBjeP<IBCP@4c_30CpJm%f0&vQefJ?
zooSsdl{O@+JD&Q6+Qbt6&QxM_$tb12?3ZZBF@kOJutX)wM?4U6IsH?kYweSxRO7nJ
z3#o{M57gV{Q@Vex>FggH+F*E*-1PUFlHf-6HX@+%2Rs~SsHFD9%fzb0w@HBHh-8w(
zTo3nnwK-t<nqUIIoq*TtuENYF+A2gaZ78DMJ#J%p1bbO_I28tv0NS6#lp4ZAlh8@x
z$!HDChiH$cP2(TovWFk}gVyTXa|kNiE7+=3Pji4n{KBvJO3=BpEm444ciQ3uz?bUN
zRCH2fmCrN83lZs3P56YXCW4hs)yla|Nmp;_d3mKFEt6vz;LErj0l3>X(!^~rF)*1v
z#kFatev?-gkPF!hqSh$2f$9yj@7T5yQi>qt5+>epu%iTS!Kh9@?;0e(aYM!&T<j^B
z`qio*x4~pQUv`xeh{XU=>zX%HgO2WQ%Ri-JfZM>I>uO6ZCSHSq?1JklaYJwT|I>Ow
zZ;1!C1{q?4USB==Yf-TtDiuE-A{!BmKzb$1OTt~ND)oY&(CUed?F?MnrU7!T^4Myr
zq_EA&w+`+SMrt-ZZE|n@SW-<pK-)`;pp8CHc%K|`?Em~^P^Ym(4)N;?B_Kl&AU`Ch
z$5KTf`GVL4nEx%o^YFfzsv)U~s(GXisTv_=gE=trS4WLIZJO$J{VrP*B6p5&E1A&|
z%U&)}yzdX}A4)C*etDh1;1~XywgHjnzB#p>Ax}(OvXdxAYGx0>7KKmAd%CCOKk;2(
z{&|IIo1v~)_w=BWWdk;to$pBc)^pL?UPJcc605ddhe_Y;Wt$pQ@?0%x`gn(wHXoSD
z86W2^u<?>jyC`yubX@;qncmabB5L3L1IWKMxCNh3*L}uqAOe<>9w{gI7;1}X$66|1
zs>o-mY7L6O8$i@{))kg}APux0f|DdsBuhV?k25Z{8#K}VW$4TV_V3d$eyCTK>YC&`
zYBDT*rLJ}^C>N6wY$}y7lpuX{POhp!Y7uGCZ7XH9>ijAiTndLrxS5)gX*9C`=r@(J
z!0@EK2`{c+Q+*~N6j-3(bF}YG<STU?Bjo@L!4Ql9)D{(}BCQ{Gi-OV4edNvC{qLkc
zAO=)vmlw^V{DE(P=R@Bv7?Ep4kSi5lfvupq49s#<Hv;W0seV3;{{|Btx2d+b$L#O5
zx8S4xmjf8piu(t)1U`l^{HGz$CSkQ80Pq2~S))Qt5G4mC0P}-$yzUk+ym5zlK;*Zf
zIiELd2Y_PZ3PdYyf%~%e*Wl}+XM+h3t42oMx;p`|Ul>EkM&8fSy>3X!O1<J|eMS{Y
z|LxbN=_WS|Zj7f1zDH!S@qSyDbn$k45&{XTvZd;9fK~#@^_C4p3fR+>qCh(uzq_uS
zGeJG38l%p;?0El+_x$--O;)FvEQ%*+yEwMJDDOV=_E>Tfj8@cnQF)er9JBq40Wq{T
z6{MjAJpFX-KHzE|UUj`_BX;~~+~~ohu2h1Ga2)rjFADmqTZvcuy<p_&hl5x#Rg3ek
zRM99&EAAQ|5t!IT!C%Vfv6+0f>e3zge=L~!W9WYWN0l-ABm-Atc^J1>)}@QFPo#pB
z>Nd%-g7uuhB{oyR|1+{Z-y89Bu4c2TN>ylcT4sJI(eo)xS3*_MjlSyl)ox2YWb*xh
z?d19f@i@R|``yti;)X!r$15CD#GFYfSGhfLxsR;R&91bnpwoJ0UH?vzx>mO#a{I~H
z4nqCD*9HTFXW0dbhL7dHYXKNm{QAPbCrG-Xp>@I|P>*PutlMg~d}`Pe$7{01TirYE
zuvbNiZNC0yv;K9QwQ)oBItrUFh4qKlpR(?Sd}90M2@FvzA2@fV+Clu<;yQO8uo3?*
zO^y2uL+|f%|8GSz5sy{W-$MTazw|*r-UYU2dCYpJmRJ-Nv=?K$^$;LKP25@3@9-`b
z#QD&6ne1j~>hn(U7iZryEao89lXBc1O$Ib?RrKad_CnT2j<!UN$0j#?XyLS(CTW}r
zcO&oCt!H+hUR<BFKrqV;WQeqy8Ry>ihH-Y!dtq#qWd4ILDUI$E_g=4-uyxE|{uV1B
zsG4naXWfj?K!0m^mUE<sJRf}~2xI#GY>C0oQ~BBq&-5h2{Ql7P(QSWF{La=KuZtRO
z>sefXV{LqjWmfT1aD#W#@<ao?NvrK5vgM>{SCh%RDFS^wb(&>iBiep{Yp%MNspN~A
z6;~Gm`Si%=>pw(==>wpI;V+DVJw?w50Cx^#jU!td@#G3rS=H9+_=;AalDLPQZ^6xy
z2&$u>2J0dww2W01NuQGHHM{^qfwaJnKp61lkZO72*yio3RHNe!B3BRHHn8L*!yDx<
z{(!d_uDT84wNZ?g+2wNAeM3@x=Lt#yLv>kS#H_i8@EzJ#cdg|FY1;XnWj1OnY^wmT
zuuy_mWFJbT%xDeQaZ9IWv4DmSGL;?4c=d;LmSLjFB_V(t|E|8QqSq@6;I7${0PNmb
zKx@>TVkE|a8Ngq_s4H78!!=_(BiacEi-y8qLniXZE$2USkIAxzT-|@lFpZFAIXixy
zf&3%7!@~X6jJM7_dF~%TAB6XUhf}8ja7)~gtBC)jKqOz?YsR&+<xK_v0}ulA19Af?
z#yin@fD-g)+ImE(`-1-hKF52kp4puGCQ!7-)<Ro~_)s$Md+>9_Fz4w!A_<G9PQF^@
zco3;~zU<n+o3(m*Azi8v_s7`i$q!T6TxIj&Zo)6yYZR?%(-G~ozpY%Kjp~e-m>)K7
zj(_1nCCs+j7KW6ZpTgnq3Nky<!5q@&T&mvK#7nJlzvhKt@+`H++@gTe%|Jq#*5@3w
z6(y798EjLu?Vh<jk<b1565H2Q-z0`#H>MiuJ{Osif@72zr<U(A4dZ5QYgcbhQ(0Fm
z<KL?v_<?Jq>f-M7gHlXG`uwBRcvVnzXcM{`-FQ65NSS+>dO+a)H%84SDOSL0A2;~n
zKlRT?rPlj8yZy-|$$;w0Uz=0_Z6Gi33g8S>22ud;0BIBHJL2<l(Vy~i*y`tgZ5|OI
zT2*P(Bh*-@!_JdSeXTbXEGGLW9etNs^zfeG=~>X(UvX%Bk0$u)aipd_wY?!z+fSS8
zez~ELqpPDVKl+*h1!DfJVj_uJ{zgk%L_4_aHQ>V=vsE}-X)|yrYu;d4$@9XQUTf~D
z;F<4AvOd)x$WcI0*8B&*!XPtz<>V|CcWJ+v>~h+r>r1J$<wVEnTd5qLf0Vu)3ED*;
z$&l_0st-@fl#c9uCh-Q;aIELPzFJV_P#yCY&u+oCTJWBF)OQ=uwU`qd`oQF9bun<$
zU09u7U2>${AB&+pG`d~=u;B^QthdKmuXe>{4gN3o-n*;mt?L?AX(A;G(xgPCiS%9q
zK}1BP<fsP_=|#$+x6l$$kX|C7(us(QN)1(NKp+sQp$3!^Kzd0?fB*p=xW>4j=UijF
z-{8IfBpFEt`?uEKd(Ao5TvH}@b|C-SvY~uu0GL9w`R{-2SOV<yB1a+|qH0T90w%T`
zZ>NPN>u;qlSET=a69V7L4V(eA8C;ii4b^*fnDzy1=sKx>TirEd{j6S*KuOqBRU^o%
z!<&<5!mD8!2auhp%ZAkGn7fRK{Sh^13eACVb>(l_kw}e)xEy^I#(ph5yd*@HaWL>=
zb_aRr8X`H~ru{gm@i!kjrD<jJpj!`Nw+~*k))bmMJiTx#u_({uD3ePK7@L;7{ktyR
z97XqRh{B1acD!;7e`><7=_)MYK3?<D$42kQzD!n$E%P&GJFNR&jsFxVWktuqHqu<-
zcVN7o->2`N9}J}rn>cAti?^{zhTaqh<36*5{zVj<C}*=OJ1zMnzOs2U!*^DAW2g`K
zPlt*LX_hx`Hb~q+095We$NNJ?;=T52jzt=#hS`snp*JW0JH<IKh##R*R}=rWu%|m9
z(dhE)xb!dS!Ed|YxEh^S<pY6Ouz^v$J+o$`zNlUEXPui*I7VdtYJBomBp+83g*S1+
zYHy6Dx{iS3tv$yvd7q&Jt04G;bH#<y*MPKHrlL@4+N;h+`VX~fc?Umb{-#WgPp=79
zkE^PWq|d&M6G=2zeDG$?_QHsyoJhn}`n|FHk=#hIICeGZbI0x6!HZgIcw<TR+x8D*
zs)Y+X0-WAjz3qKRU$gc!%`}Y{klMvJbFgh;y{$egf&GU^{&<vpz{qT-WK|`}k06|n
zSblJEo~~IWQnVKPPi)OXwNqt>22A7=E=aI8ASnX&{d3;E8n7dPAczDH8>byoX5Rwk
zVmT)%5VULKfLN7cNWV7UvwxTGhF6H;swZ>1pExn`zlS3tgEMYEMkW4VK>X~=E_B|&
zj9ESQRl&V{r@6{6;#Zb)>C0bz70GY!f5LpHvut1_gP4wg6K50&@q6U(2s!y(wqUv8
zUh!Ig+Ph$b)8$nFh2Tu}Z{n2WdqX&s_DJguA3YZCnp^Hs{(!D6w7DGU(80GK+RVu-
z&;y_N?cuP5YtN`LY@sWljX@Jo6Sa&TOni@CziGnnvO_GDPJ){QyeC&U1p|rfGs~`6
zP^c4N##Mr##cUmF&r>FedqQky5gJNq@`t<ArH9x~et!q00$SGfttr@xED9YhgYN&j
zgtyA*x1vM#dFoDnouY7cuM%wkyJATZxscXS%+aTx7Q1Wu@3-V`5dTj5z9mwo_umIC
z$LWCQ$0~*w`qw_Sknejwju<`qZ8;hq?p+nWxWjG=Gz=f=x_#h3{n$HP8ma2u_^44A
zCswUm7~M6(f>w9W2m=qSEQGH150FF2YhdpYFVmb6>p*XVx|x4HmI})=*ro2D7QcVP
zE|-NXrbK>2*P@&IR)OoygV5<DjM-k@KRMy-fz5+`A&rzLGa-$h?0U_~t{wsK{-tjN
zAh){ohT?<Ont!FuIwSoqn&_$e;2Gb)e)7Mnl>hm|PVjU;E06lf^RJltpZESvQZ_Q3
zQd2>QGD)|8ZHE6JpZVYK`*-Q{{{riO*Y98P`Tv$h?|<Xvf8*usu=?Np`2S;mwED)h
zo?27*<{JF%`(KAi3ghXq1Y{fe<?`RhjT-&MT%RAzu`eDP{A&|=e{mg3Z!*1cPQY;c
z7xVUVA%cD4ir-I(B3AMI?;41cGb;Sl;Wp<#G<lR`%Y!@ZdtE|d9{5wn_wRwdbO<;^
zV=)jR%KFpr%G2m`Va{9YS&)uJ^HEcMYtbFEiAD|fmW7rEn3w64=@DhJ3h=U{6aQrW
zp4G=N(ZH1FD@0yCA{M&eX;zz~;t{Smqjt4&Em0QZV&B9Sk+YNNQk{$YapJ7kTp!_W
zrb_ixn!eAj;90cw+%{Ogwy<#7yNU#lx29SS?O0oPL7k!_=9V7wxJs2rAAegb4qmBA
zz7m)3(2i?&R>`2=J6ZQKedJOWw!_h5Ho8^g0=VEI<~y*oakX|%Z4CZS6ZI>PSi%OJ
z{25UjHR>F=h%fFcSJ@uzTV4>-x}UN9zAh_;g7g(vQqf>yp_t)DWPcC-9n?tDfm3o7
z!~5I@EmwO({H5Xll;?+=lRoDiprY0DOp&<wrk+E7QspCb&+bu+`UPULvDYW_zzJ4R
zTwm!>)FDc`x$5l`h*qGk<wS1#w3gYG_e;HS4ny+^y5l7%Mrg$L9rfV$;e>}*^T*+>
z9N`L~{l2xmP5XPZXCj8PJ}lO~si2vwx6X_)0B1Dg*v_r@-^fMUM{a%%Jk85`?f%Ha
z-x3v{6_ym2k4cCKf$&rF3U&aPI_rbsb74JGEimp3oK9r@d!zoM!0<(0dMf6W6IB;H
z(-rvit1lVFo_Df11<}h0XKcI@)^6*}!bChGdwiZh=(lgzf;T{u*sA1aw#QW-+_@l5
zZa9L`uD>?G>H@TsXq!Q3etbfFVkWgRquFB!zADi3n9MAnm&XstKcOu_j;~|9|E|7K
zr$UQwcJD&6>*Kn#_I@kUPMd1-eYCck$oVSwH$Fm|$WIOwc1dm;zrGAgz>*^PAS=q8
zJ-ImLf>%)}C|CF@uRE6TAG(YXEej*uw=QoiEAJ2qzJ+lQj&tn!0M1JYIxx*B>(?ar
zx}j=H5aN{yE^<E|G!+(0@;iCd&9T=SdH4w#@z65a!;QVX8+QP(NI_I=Zx>!DPdYJl
zF=`W~y4zBsZ%)g~8`e6?58JFy_Y{;t+iXv4#RASBG@m+96{$T$!{mKECW_bAqr4Ll
z#oS{(D*9`UPdj+<()%U)9e0<K=h#kA1U;h#?S&EN!tYe0=TXh5C}2YDV$48Dzdw7n
zRLH46%VvB~K*xzG*<7&KG1~V|!LN?(T*5_J$5(28V-_x@ADJEJ>4Zjx_Y~e4<w+gi
z<H7K(J@`KSGTdf6EyKwF^GKFzX9l=a40;Qi8uHdS?GGUqnC~Md8JeoBWUV{AQ(t1p
z_ZWaU@GF^<4G5d&yRay_DCfbvOB?vz@x4lFZuGQKPvg&x<z8B-1!8k0H?M+6bQg=Z
zOaahSWq<<$Z&M~x)CY&OC+JVOB$EN_?xVr)pzFA2{TA9D#<1bCKUrtQzG4^g^&`0}
z@;B;NKIeRXv41A;_<joHh&c|t$I7b>oJA91{1l*2dKz)cal(Gyp!ZesLLcp7Z>VQ&
zrO`1Oy&S)}cdD)5A^tRP@q6}{fWrBQUoHwT(&NFuYSgHwkp(iw+mf@#S+~Mw4nOO4
z!hU#s@I9R`3jsUXh0OEMs7Y5CV~h{>qoY-kJ}Nr$zR;OjhZ|=~kfv4B^2vZUKi&>0
zY<tp+=zi~Tat<~H&v8`6v+MZ7;f8SAO_|U;b-9B=&b!ci`O@hGCT(h)2-ERduNeE8
zMnv_a?%0`NV4H3JRfBhMJO5{rUHg5e5W3IY%%|gSvuL<Tj#{R~6_^L@^nXxpI%O8K
zFipwa6RVbkXL*|&P$rZwK)%3~IDW>XUvn27Q`k4sA`#A9LVV8fsl78?Si;OhG?5t<
zER3OgNI6F(bj0YT`#x=YY3$TiNIH0D>BSdLDFm`DAtR3eqrExP=9tN>PecYgoA~_l
ztTRUW30rikRStzY^+gIrc>JXO5V4M^u(zCZ;PFJoMS=LcmY@FKpWbUxy+Vkhz0(@x
z`&9^F5o$PVYXk2WK|Sc%4r-~+Px!j<p&0p4j&}T8ML`+QgIN*RV&UX-c|$eIFGU2k
zDx>inIrab#u|1o;hH<trdP;Z+H|=3-+M0{@;lvxMU~<lkW?U)%h96gY_$g3i;)!oj
z&)!K@)MO9DAs4u`KgOPs5lqPvTB+tnswr_rG>b~*aP1`^_|*38M9GFf>~Yslh<raP
zcKp<o?uk`w^cML;Y0X?+%TB2q%^sLW;!w`vqE%|iWAN9#>OVsqqnOP3(2LA>ju=4j
zhxE<!f?JssCn2=dawoS}6A4p<aSd1$txU+G$kaY(RVlmHNOWu3v9=`|54n!&)~X+c
zPhUHqnLVBrlnog=JY&_}k`j_N3@>K8KP$(*+-D3cklkDI7l!Hu1&GCbMU;_xZcGHJ
z(Zbx_Ea(5a(Hhj})&V95`TwkI-tdgdMCayI093@xve7x^*Lnm{bh{2^Af%;xVVo+~
zHw#qN_}obIZ@&#jjWyw2uh$2>Z&Ry$F2}R>+oLcN(>rBB#!-H`*j9Kam$?zkU+k2Z
z0GQpkt}6_`*UB2bsApXdZjU9txX8N_-0os0ST|33TK&&hk)muK&5yF<aP!6S&n#8i
zU(*fwN2lUyp~aKED`gGk)~mf+OOuKP#ia^GH77s+v3U~21thx{;K;jIDtzQfO7_kt
zX=pJFS&$^g$1QNCCWtxfeN4B_G-3>+`}x+~M%~!T2(}+-z;Z(5gLk&>WDUTaR~@r>
z<E39Yx437xg9mz=Qr0X-b7mmF_G<?FoBLcFil&>6%r^WYrp4eg17AVtmPd^veMf)x
z)RSS;-}=q=bh{?*uAGUfltOB5J?hYxH(Reh=jf7Q6S_jgLc;x?bw9tNU@CMXb=VWM
zCv3i2rZKSQU3aQTU4N^^FK&b<xyd^{ZpPjGHN0C~*6`0ZTVVGoF@3j2im836(m1W-
ztP21ny(-d9{4&i^{QTD+cvD)2?U@@LGI;lLU?CO=qXrY@F$FpU<eSc~ZPWTUqtw0k
zJp|s39G>n)3Z0ioKQ5SpcB{U<cYi4|{XmH~%)YGj=E@78l1$@zrG$E#UP<`qjG`DG
zeX8FxMoMREQl5RXtjt!bq9Z*57CY$;w*wO83=+EaAwEaDb!aWZpT^yQbE>{(npb&L
zf34JAinR&TxIlZesnz|4qG+35Z66_#rkf_ZPUAsSJBbAVxa+f9o#IjzXxblHhzeF5
zPw^9YGJZ2@I_V|Z_px?B`K!h4!vKGhc%YxUCs}K0q~{10q&@z4Jf!&WYw`bG|LS*3
zBYCznU#4z@Rlf0u7N8$B|2d)%ZoKOlKSNcq=uUoS4PV*n5nmDRZEKVna~?6(z28k6
zT{n6}%u?aUbsr`72P-j#UA%ceAtPcxBSL-R+sDD&E!ev^2d8oo#ZC$2L=aT4EFlr}
zC(s6IwHSpl0?Z_x|4*mOy`}pK(!U1Q>buHC!AWgn0RbZ1<+q6jY1Crdqg5sS0$UUq
z#fNZUp6ER1STFBk(E%sVo!vgtjhxgYjPm0)JlsriOjES32wK;hkpjshK1=-j@SS+f
znV^qw*19#ER%^hKlV}*jzeH3;_^+r|&f$1-)F*CRw9AI3zTGg?<nx|jiqIJ@XbIOo
zy&pk>Rqd~i1cf`d8w{Zw<>S3p+J1}deE<M1ment26QsREdMZ@<4WCdO!WLB)?{oaj
z;z!BPtgug^sfp-Jm?+?ZZabg$YLOIrDYSp{H1;=W4FiVH$hF0%<JZ516~HT$YG#r)
zbHl;jW6s#M?Ze#rU~f~G;zNgM5mbm+PPf2Y>yqr8%&2WQmAg>?%#MdBeIpg7pApzZ
zKG({&4l%Nu|Jtd0+EhB+8J63l)b*B?yhRS(&n15gtzT;T$OSva+*J0=r-m0@-;GM<
z7GiNSn>ne!ZeV?-c3HC-b#=z<x^Pl3wrOr2?ohFZ+|!r36dqj5gxAK^R_M0dc~#nx
z2o>!H3KkqjAJmlwEv~I@H)`}$=4nhytx2PStW%~+X4W~w)2qh?-x|}y7va0)P<lM-
zg?F00&#W*bd(`<{w!2~pVsd4MBB$2raoD){_>ZaBBIc9*`Fj@I(cbS@2uZu#i>Jz_
z46*Eko&_d-L%0mOd?^&3V;X3Nn_hl4>0PvCs#N>WX^c_O3A?oEZF1V?_F?5QblE$W
z5uTWp_7<v|`365Rr;~*hzm_Hql`xpDxbo*rX>v8ONEUKzv0Fz2mp87GP1edkq`Hd@
zIVsBA5;I+RGt%R5JJ9&IR*33ne4s1pqu{mTpKZi?k9Kd$6(Pkd8u;UCeS{Q0Nvo(d
zMSei{5eU(F;lS*7dwCUo4sV(o$F)sMfkc*dUF%rXI31JYBJ8&j$TyCSFHzKcMR#T*
zIWdCtKu|@T`CK6cHpdAuezjET^|^==FI!o;(VgvN=z}QX4zL(;YZn)h*+v>brE_@V
z;)S~Z6jXQS2qqMBC=d#lO0T^BqFQDJ-x=ksHCQJb=yAkutn&dm2F2mL#ZrDrVgKP-
zr;=AEL$Z9626Fb?Tm<IVE`i>?$v#}7`L7ziRo$=hsCqQ|y!p@G^TyK6qT|Zx?XcB9
zO`}I6{^4SQb;HnNjh@4OnXmUx=EjP^J73*o+8IS$J3`3<@mI;b@#^yCkEI&#>AHwl
zmi?2yn=@sYw~@~|-vO?b7JGQJcU;N!69lWRBJG<a5|vr|$e=NKQ?^`oZJznGi-ki!
zV`CdW0Uq}s3m2!16g_cqzeBe0w<D?gfrjg!qE~NxcopwEllfdgr-$lYc76JNoz%gr
zDm6!$(){4J`)S7|x*Hev?1q}IfzxOXIp8<l4SA$z)=fWNAD0?Tpz1*_)`${Vo7Q}7
zI5u{?cVnNW{<q^3nx4bY(;JTqkFZeP&^SlN)Uj4@7Qa;hPH*^k_fyB9FZJn6OB6lC
zA`YY6NsHY`Fg?v(7)I6qHYiC^RbdRJb=+4rxO*;MXk)I<Bxg;Uc2Blvt3ID>w)bQp
z#3E=PZWCmB^ykPlke#6~MB5T)ICZwVBRR;rZ&jo4>g5zbBGal%bLY%Tc$p<qaXiSZ
z!;#D%F0&Zt=I&UQbX1`Q{VIcWiCC;j>piGi>9T@Pccm@;+50+78n{31A2Av-;k*x@
za4tUVIndt@OYhL<*pNO@pk8Zb^%Lkus~bEuSiYvj*Z4vT+w(=_h4e+^i{vdq4m5Wl
zN5`?Ct(@x12ZX=5`?zoAc8mOdC<SG3W6@`qm|fE!9It~GrvWzIi&8%1y=Z~`Qz8V$
zx_u}Fj0;?vocvz?{wuhF+I>{7%Xf$MI3Zl{0s|jC{S2=6hsxd{bmm?=yh$qYa8(cN
zxs&|vJmlBaK+;QO_dEB6EA-|&sk>U<$uFWW=PUvyEF2v?A}_e7>m3smfj@`!4;1Z5
z#EuKUJ32O*I5VU^Q_8d~8+Rw&i}Y$=cA;xY2GL#<Z(pVyzs2+AEg38ZIMNEihok6$
zhpT;SbLQxRx95k0c8e<DU@rcLaF=MdV$K<z^yXC{8*Mw9sLQyUD3<@G-upX3KNebi
zsiB~#w1xDZZIbk4??-tHg%ACZe`8TJlPH0#(NWwkh-XZq2&?F&s0$*Ejf@`}n_xRt
z)?xDXcg%IVE{wumRO}v!K!;-QB39ez@=;8c1j*p&uCKWCh{5Q$!aIe-$<+Kh+Z_w-
zV4Uocp>vu%Gvs^Q{Roa1+%Xk@QA#&%+Z0Mt=Pb2$hMlpA;dZ(zp7>kV`|G(-RP6J^
zWgK5AJ`PG&0mo)g+tS8pjRy;gAq#6zug;969hJk}Sf&6^`%CVirlbLG?Vfn?<CQj<
zzcQ<khBEa|p|?K4iJzIa4enaLt`c|L-FH-wgE4g_Q<RoKo(d6ive);VqX8DL<FmM*
zbI+umU*zJTTX2FbUKLv`%YqC-Jlquzn(MBe2YpO(#PG*+^STHWa_;Jidqm45na{n!
z>jE4&8?SUp<tO{&l$$F+ElxL{2T>>0mZ~h({hO$D4Rc~ZeM>^QN3PZ<52X}BJX_ai
z+#~bev2YVh<Z1kTGKSfLJl`piGLQ52nbF<f3n7~CbJQ;BZpRr+HZINT7ys0Rx+SVA
zkuD&v?h%W(W<N?#3_07_f{xrdjRreh7W5U58t=Ds7ifX;iNbnAiN}59K3ja+g4Lza
zMfG5Lncl#x7Q6V`<9B=ZOWC`tvxx$3{MK{BM<WI&zqHnb<@+s+uDW+*g;<T&O_9g$
z_8$aAq|7%#GKW&zmnbhGo{QU`1+!6n<9L=lw;U+WVsb&?Fn6y=%i0~OkdYx>HYXgI
zHx=~$d6|O%Nh3b*ssdl}ww;=$6Ybesk$2~~9eYuv{nH!T(bpFHf(kb>E7a9X+CcJj
z=%<q~s7ZBb*ea#_lH&Yr3$4GWzRiwOC1S1>??<won@nIE`yMPTYbhtQ8Ngn_1!&x8
zL1Eer0Ihw%1>q!HkNC~~FY492PDf6xigmMH6uYVz6aslD>$>~gtAp`s?N8@k?Li#y
zSEbN=6s5at!VW_>vy#&%?by5qdqNw!{|Hfva?zBeCd#^$_{#d87nGNmx5^<#*6tqI
z?3SB26opL=%%_8`bom*VKSDh1Q^8TGEl-FV<y)bXuVsB%PU8KSd6B~9DhFLNO@O9Z
z9jU*^;Yyt2zY!kG{N5uLrh}s<VSyqceUCa=-Ah8y;C2ScB(+Qy>geSuosJsFeX|iQ
zF3$`+{`IPP#qef!6AFpf^@#=U5Bf-}wAno7VV~?`{7~L~tz-n@IiwpPc-V%hO>oEM
z4OC?90VnmzO`&4}O6vd2Jn{R1<_*1h^J0#gg@=L^ooc)4poIW0D_>dk%c4(WDQRwL
zb{E{a8CjpEQvVtx%2qG)J$<59<{nuN<}KArZ1tY4jWZ@FQT=B+Mqg|^3r@%9L+*<1
zvECBEpKEig>1uSiS(1F7Nw6|F&6DZ8i*RvgIQP8^vGJc6WSA5$w;A|U^xP$GTl0IW
zgP$2RxeMR1@L*P8{+x>N-{M0$Uor|PkX2%Jt+2MV%xRg|eSw;NBAae?KC3Cfj>#;|
zxL}6dfB8jo=W7Pp9C`JRAS@Tuz4D>HM_lPp^PJFBh4#kAHwD)U<7n@}8;$8A^4BK~
zddt}EufN?w2_^<by*A)DlxH5zKXQ`a0!<Z{YiWp89N2k_(VQMcPQLhoCT>;5OC7qj
z(-N%3?34AYtzEjD6e|k4RIw$%4dYs37ovMTU!{dVvx9j<VSf&N@QQN=bzR<mV8Q#s
znn6>wIU-`N^A-Djm|9buV8sh@;7#BR0TDcVSP`v1_xPX{ZSV!(RcDuo>`>IW+)gRC
z-O`Kdt0daPQCynY)kArBY(BAwH*<#oYJL_FC+U!EaM1{NgHF4aGq1EQakD!?o6=bj
zqBH!84?V}6%Q-;Q0ZeXHzh7(Rw^)vnuCRx`n_B^eEa&H@;zBI&+}4EA(`w*h`9iz9
znB(LJ9rVH_ZZRE?hqm!w<*d0qC-_d@>(hpnL7x(9<XeVR_a9edQ{8j&Mn_c}oJjCO
zg)Q+w>Sd|!UXx@C7~eb0atIEf)yTxMZF!EQ1^&2ftG&QchnEMbdM(GU$FqP^6{~CF
zOX?S!q=H+^!^y<f$UZN<-JX2v_0aX$UX1Csv^d3Za-eogYVJj}VEE>K_}s@#hZ`Q?
z8#3GH<?oj`0OziSy=Q9R=;|;g^Z6Qp<o|vYYcr88|7x0csB$ug#OQ@8JM(sR+(*3z
zRGPQ^MDN=;)RDT?FxsS_>?53AiYcOE#fkdWq?_yoo~(Y>GjmP6ZYc{wA^VBEmw5KZ
z?xR&>MOgSpToy3p$3#hR>W!yA?xAT|_&i7cpkfLk#B}|x_&jfKhir9{<K#8l!9c(}
z${(;zpYE)L%yRoqNSpS=Hv4Ll<EkX)@-|tAe8t}vUve8Kn++QeLhd(mlypZ59c3=P
z)_;U7F_@jrNSPIyq&Srf#*~fNv&55J(=*s+)0<YMyPCeXd(v>_7aU2Q7+xr#C`oYP
zXPIfBV$7#f_k=C>c}b%cM&qYs=6Rm*8pxxW@2y363E1pcA#{{t4)e6zQi=5R><#D|
zVrF%~O3ME{6v-h(hJ%(U?e9n`b%c<x<FpUSTa^1Q9vMass%ZZ{yo&5(=6Gs*gPxXr
z`~ZsX;4l3G+40^g``&50_kgY@ugTuS$>pjBKC~S_|5H;W%;`D{kdvv&?82s85K?fM
zSqLlkt|BT~&T14=t|fS0LmvGxqW;2sWboRJru`)ATpAYkyCFmCRzRn$;QC(*GnyJ?
zXhV^rzn5>~^s=ddi)9(v!2k06%cmaUf3mkcrfAsQNoqmGjiYNPc;(P_!<-uV+N!s`
zeO5?>GR7P}myv|Iwx;iSb668u@lVMWRl5%n^1YcCR4G(e3*vfqW}8hi^QK$77eQF4
za;w9yvds|bG)L!}_SVxq>hrN(Dba;AMT=zbGsKO*L%)`2QB>wVS*AM?GD-9&JZUPD
z%$()APgKo+?I?`a8_@FSmd9GXEGy;dj&V+C_zFSHX@K6lJEr+Yvidw48O?7JGMcsI
zhs^`}snERU526uvHrIC>`(^Nm(79;R3!&VpaasNsQKY~!K*MK9^~AMbADO6?rn|jk
z%Odi(9Jvk-64^%-Wq>SyT9*T*eEeC-K3h@qvZU#-6XLQX0wAk-*h|P=N@|2aetQqb
z`lYrFGKlHClxO~aL7q-k-FcnSm97qJk(=t<&}CpX{;sXC=zIPE>)>IWddBPvXu@@2
z^$&n_vl#E8Qn^qD!M1q&2!GhawIo2wdV^i3JcCu#9S-i6oELsdoDy*VB-Yv7N55+1
zg9}|0B+q@2Y-PS5X?1LxYs9SN>jRr_3))l5j=q@9$o}$t-r&L@qtbc(*1`PV$xHY1
z1AM*UeD{cn`u%LhQbWHvFB<s~3{*4=JwN;juh3l!mVjt(&l0KdAa;nR#^z=1wf%PH
zlyr96r}iMmb1D+4hDb)aTH(QA;LOVq#+$XSaz*CjWa3SYIB>OcD~{_|kv?6DPKNQy
z6X1bE745}F)fV+qHn$+7c9eYBjx}&SPP!5Z?Lbni52=pc>kOVd#wn~#2RQL(uy<4Y
z>mGM?WMHq;(IjtAg^AgLIl9B~{y>EfU-RO1Jl<M2dJ|m+sLDkC4ts<w&4QAky4n~c
zgnWc#4d#flduTS^sStI$o~WY|oX(71{zwGQ;C?Wz?;u~jTFbxHm=d%5GdE>m?nMhx
zVlht8-BIdJgpIjngER1;T@t(_Z1$Q-FjQ1Blp2Ke{4QHID14}dPq(&IxgC=uRdHU=
zl9L%8|K}hNqW1aWFKQIHxiSPA?UMdzoFmBoV+3rK3F-8JnZ3fHiaU<NRgV*)<A2@Z
z!)@-!!m&Tu`a{{z9pDYUcS5w`=AC0f&uM~320lL2jA2t>tVMmS8V&Lk#JtHHY(vN=
zrWmb`-EX||q`TdlI?~i3L%ku@$;UY>@>gV)3U#&!*5l$SYJCdCDN3X&A9>s})RH$5
zP<RAYIS;iiPz0x<w8s4+z6A)-Zfw92DcGi1%zlp=8nj1A@0$Ne_$cnHCUEoN-&y`d
z<CDid=;fJ-8{AJz)L`7I)Hu3h2Ua8`k{5wXJm8kcaQPdsaJ8rbyONY?*?9>^;41xt
zlq0tR?M_XVzWX~bd3HMaJ+UvtG4jVoGV^h~H)V)?0m<rfUs|Zz4H$XHhZuSP+rHOk
z%1DZtamK5JD}B{h^!E!%_q8_*N+aZDeN)T%+&jemmdDj%RJ2`|oCbxoU~>}=uVv#V
z=Cb!=c%#d<<X+TemWNYjtDr5#8NPA-v!A|u3A88r22ZOXixTFMu-N$aAh_C9m!@TX
zqus0~AETSR0|!xp7892nSv+ZYz1!1nu@O(R>#F!djgfK+K#nE5#D0@>?}b*&#p@pW
z+U|}eol#*PBg#!Uz4iOQLhO;N7OK4S%aWZz{&3h_277l2Tcd)vi~f42W)$+PZg}k#
ztq=O)p2?;Me!Rl7D|dudR_xg<MgSOso4AYTM3JL-0QENV3DI6^u94zg7HNL``iG1|
z(dxD?v~=cl=FeCL3>f1&G@fg=x<L_8uM?Kkb^xuvYOX}=>z>nW;6WC2<xMV|>}y}!
z0m41DeD;Kc*a7R!L27Gns$!S&z+SgOE7k3oOH-}c@RPlWlRc*`%%zr}8PxM(oIQQ=
zFc)uHf^jwvN^tK@y=Q@^&<}IC8UCi$HAoT@&BBO7wUn94-%R!lys9+OvV-_8E;QJz
z81|<Mb5SAF@f)HRZ^FHogj`Kyu|A5^C8O@c22Gm!o;ptd1X5hA7c{`tosDX@Q%Kq~
zBnK%c<bglJV=_&rL@&KG(a;AsrlCh8R8cwkiQj;pM0%IC;pIC?di(<c1-4)l9=S}O
zBN4_`L+ykehKWJq%tNQyQ?jvtF<^TFPUeIblm_bhiBYd=FKSYg@}WK$$>yg^+2zj3
zh0~fc*|rb1CFcS#cYN=Jg(}^z)K`Lu7wwx(Qn#MWGh4rx?#D4%tz49bz7CWZ!hM#l
zCb=8E;<Kn32Ure5=01m>7B<iqD!*K`E3$i(<%3?Gl-Sk_+B2ry3re4mO^PTEui=Z`
z!P-Sc3>>wy)ulAbhHHtb?1D9{f~ON>>zWQk+b0wI`AoDzPRc)f>v<0!7M{;1Iz{u+
z$5vgoyCa4=){Amf5My*k^%I})X3n<aq~{o-O`{c=Yx56$m1dTrZfhi+I*QZt(V@WV
zx|h1HJUC*}UXshI7`z%l&v`yqcUC?{O3nYm4wsH(<7JBEiqnvngJF2or7U&LE~PBp
z9L03`mqQ<?b!2FMMtis*YfzhzwMj{C#PNQ5x}U4gJI+S22fj8(sV`x!22Y>nUTj%*
z)90b`R5P$Db)SR4TDfH>1*<sI1rIvaC@ISubz@yyXm|Wxqb=*97uqeD))p3%ZlihZ
zIu^piF5bLs+Rj{*R9opdnf?zuEvq5kWgXqCE!9o$UV8@u9UNxi|4GMjU}iP1yV{jv
zd}lE#VL)P)x0TY?g4b-k8|zv4oTE);BH>{Dr+QRjgBU&R9dKJPszQZPFj0;HvHnme
z2Z91dT?*Z-0*1FQQhLy&R;KlX#{(VHFWyD7g*iq|eq|93f02JcyHXyEdMfu<vHQ#9
z&jviX<Z3R)Wzm<fAmzn`9%>YiI$Xc!Ra+43H7H7azvd5!renJ*&GciLvD}p?dGLvo
z>0~4p%e;R2_2yiDq$ea+S+P`y#I&a%?^vYW9fZT}nKAKP<IN6zCZoZ~qBSv4K#`yp
z3IL6TY+>%wo%sBXV0HMSre{`L+y`aJt>zLoZXgLeqqL54o~9#>QRm?~YB)u~-VGb%
zDplw2y;-am?xSkxb4j^E5GOCPhD66fY>oX$$JZT`(t=kBW1H?jP$`2GSZp)J!l|G5
zw_PPub(Sa)aaRnwHW3kekZ`=ra75V(_wejTu3cKEUd>T%$$C#_fcDE6Ehh1ic%c1b
zN%FxpagiYoCr!2#-02|b9E`E%K|c@iYRkwkFN>c)rw0v4e74j_<9sLU*47PXLn)e0
zy>ro8qGdv?5rk96O>qf8T*GsoZz-3J+9w17i1-g6pisD`(B38-7TivT2u_D@^0mA7
z3!O|If5e4jenNoJwIU~!OOEr;!$R#K4hg=!R@mH^KokzoerQfj<(==HrY3~otN{Mj
z?k-n4V^^{~QNE<O4d)X38JHoQq%YvWf9X&asAyBab)M7G9)Mxzr|-TJj+dLH2Fzqe
z<?~{pHziM?efW>weqY4<!)_r|NnOg0vfz<FL35vviRmGq^vY2W6)a1xtaU!!;M&{4
z)(JTMMLg@-HHLk7F5r)p=>Ro!t8oL{gnK*wCb86F-X}S75;}n}HA)w<<H6HJeOKPb
z@v*VbzEa@t*HPPRR(rPx8GbMGnaB+Rk<r5FepqG-Nl-AAU%Mr}Ppc{JJdsT2OmQix
zksGU{vif^c+&tn<%oLjDZXQflO4Cr%M}_mPOZmP6zONC+{Qk=^&7Eec+(F6w#J@Xi
z)&LsA`ACxd5eW#sVUsgo^&Ib3Xj{p*HR2Ms$WCq<RFw&BrK5uyF+y8SN+qawU@XQo
zpvOy28@!5j8r%j?NCRu`a~MrzWJUtUJ9)>kc2kU;8h_9Wrm=uFiSVoYoGuh5TmBTH
zo>}H?!{fy!uN{k-)VEeEvKxz)X<g6oDR;jQ-Y9Y4cXE=YIyTO+tG`pyJ#@|Mx)KpF
z4&rTBy519onAZLsx+UE%9h40C1^f;V#%0O!+xYiKw@V@qCkZ7_0Gbq#>jZ`{`>OLI
zqqh7b1xeDVS{t%MJyd>IO_CS{VJ#33haT@UL33pSZwh^FXWZ$m?GT3AYu-t;>8$Ss
zbehT|q$Ss10Dc*DnC-uiALn&#lC#~*GJX|9dV7>8%jb@dSePB=bFc0M2v7_e_mY*V
zqbU(YW%)Si1}51(e4)BOhTrkL#pozfUA`gsisRK?HdP8?wvI_)HC`L@7&afZ4(kjy
z;Bj?<aXXF{vTV2Wdn!mJu3;`~jAWpGH;e|(8_tzd)1DTTtCzwSe^FdZI$4a8YKTR^
z>Wt{kWe%Av%l1~aR}rF=o#O9aNzv$96!2(R{u!pUL>|u?){f>C^ZF?{$gD+BZD=j8
zQQId;Yrmn!tNeOph&kn6tZQ{u+2^GNhxlOFc$w2F1tx<j9_e=agn_aL91v&p52|WA
zsBC*)ULMv7@DeK9U&-WcSb8Zz+W9klnrY+)b5>-?5<|NvPuZz6N$9e@(--c~N!=fH
zuM@6cV2V|B!@lTcHcH_W)V+F@p6R)l-Tr#-Bf;WJ`kdz&Tu)?vgfJ+k$6sx__&N8r
zVrZ8*(~?!vRQlDZXbooGenxKvU%zSwZg!8#56K<Zx;lT^p6u8{Qi>rueUW+`^w#Gk
zqh227rms)qGG3Kkcd8WADP-$XERe@7%pT~-GOO_VnFW7CeAekqzn^{?=I5ZWFe6Km
z@6x+`6ZtXu{8g|I4#^>CWSbJL4WcAIii}_DIwlqqQu&XAf)_B}tcV$MEKU|<u!eQK
zyTj!zU=p^bAM<2}I8AspyeB)vUXw}bSJ7H{(CX~6K7xKx_4O+BhgkX-hc3fL<XVSI
zIM>W2!P+%D{`DN2iAVV{{CBE-XU;h}wCYc(;+%y&qNI5#Y=4QVGm23Lp-2x7A1B3S
z7rVOy^ikH=Dm3pXyx@H?Xz%ZlYMcmIPnM$UfM|0Q^!Kc34{v2l%|`Y8=>Pcg<YYYJ
zXxwSZ^#{*lum})LDq;g(@n=mrSZH^6*IC{9*&W6xTQSZPF~qZ9oyW7o6{w}vRU9ug
zqj;k|r)`X$jhnj&=QbIW-#{rZ)5-9dJ7@GR(BD|g_XX>zd_-8o&z3e+9-pwq2o+6C
z>t1UxxY0zD6lu;1XuYs|a=dkNJn|vaGj59@tl$A11BA?8gwQra{2sA6s>S=dmL(tS
zm<y>@h(~X<y)3g5S8U`W8#NHlMR1C7-fIX<-iV(ND_`&8y`JB$E1&{?s`Rv4@&ID5
zEB2RzVpEd8gJ`x#nzvQ>{vS?R41H~)7fmFf)_*K!b3d0_YRlktNsCxO6kH#U@pu^g
zUOzGMw?3ljK!@enNk7&a^xM#4QeaAbk-^))X>m{GumtFTPNPHI^6_G2C1<4=xb;`+
zhvwkBOb%>Em2A-Yi{*yuL&vUpMR6!?50Av?zmHa?5UeLhIfpUj)8Qw?L#D2e2lxZZ
zX%>(Y`+33SZ&k5~CRz!hBptBqZP`(0!Tip{revvzTVzfuH`$S<9Nk<mo*y5Gk@t1+
z68F!eo_2-Wj09Df?mE2uand2GG{L0pYpcm4POVk*7EpxF>P?+K$O!m90-RxKgM=BU
z)4UZ)A)>S#trUc+AS!MiO6Hv2)Ypd&Y$sSXZhj1cBfN%7Uy<A3T!LtYKLp0ThD)2R
zzNI@1pXUX4$3iO85w^4GQ)`eWPSp<eqaRmiHVHh^+bfdu_{U7ai|%t@>Er9a__A&V
zE0#xR98c)Ld`*~=L$cOj#}@pdSBk0H9tySY5S#JtJ6^RN1If7cSHDvQ?>qe{X3FwF
z<lVE`sp*UG-zOQ@5-vh=u$MzdOab=~9079jD!dT8#T&)PBsVX*h|EvYjlzj47|SLD
zfoy)KX;Ejx<+Nycd2;R7W|c)#$|e`w<7FQTfP(OoW1ssPTT)wp7Kh^L_<EIBCNjU;
zW)8CC(dURZC%2Fvd8Qe~_hEp`X*3!{TcXUpJ-pPB8mU2iA=<k#&@dEi5`IL~hQCId
zR43Z%Bh}Y>v|45#;8dTjZrrn}OiS$h!Htp2=~->uFRV}dks>JJ=FKWBZpmS}&wuy{
z>4?fDE;QUO+Sm?W(v1*kIcY2h%rqZm6KdrjHEoedfg<8bfU^8X6)V_uY;2;<ZW|%m
zrR>D_$Hvf1iO^A{Iw~<aeoanw3B}wOc<^{R+B!buXIp<VK3!M^Q{EBQz*RWm>tSI#
zcVUV@s)O5I66$O;4|D(lXB$@~f=8Kbbut7t<MSMtkj{mZ-^Gtz@@Z!xpW*D0rq@jl
zs7Tv@ea`UCNAvmaLP-f+ixy+5W6V@zDdpH&OMdj~to6$pwPjE?nZ&34pV?4-LCImk
zMp8KO<~U0Wm$^i5;?i?m|1$*bR2;hW+4otlUKBDdUDGC+3!U2)C#p4*>_1nc{APz4
z7#JrkH|CNsKpc+1$Tp?<+CYv%&{WHV!{6Z_0Q2+$3IJRNp0j=>v&{b9DPj>MA7hea
zNdC|qwK;)MR<(3UG*1S6>XXC+^3L2&o@hFD!McNQ13SZsFNzAS+2K&Kt6}vr^3m_Z
z+4gqiR+!KC!<VtK@WQBE>Vo@CZc_kE(EL(SzTc3~5*)y0dx({8=NdnOQTwIq0Ph})
zBLn7$t-^;fmRl_m-?s>)8b*MYLhi|&KW6-|i&Bo!C1CcyEcXqpoAN>?zqYgVgZ(v3
zwEwKEUe4s@=(=)Qt->Jb{cEiDwWI+;6~jI57aGuH#mw(Ma!9_AT&((e(D@%(oR+OV
zur?<PN)#X#%LL{!i8rT<F^DsW)nf?X>G7@MD#7*Nyki^L@Zu|b7v~+0fNK45ht`f%
z%~Ve7JqA+)(eo<NQXFi#mbL<BtxwdN7qagO(@vrGBbGa>1Z7Tr&)=M1q?gk&{RLB~
za`tT*DyL40)2L_p!PJ)o64T~2L|E5`<9t7flbwE%Ed=bAySxea38wJO2ny}5D7P2Z
z!MuYVX1*6X8eP^#1^o^T8Q+)>`FMD01%s7^Z>VXcBsSt0gZ|Fv<y0$5+VvaDv<vB{
zdi^-P4fV!NWnaAbJ8~u8*H@x-NH$NsDlE_#I?=qq^egu;`H;J9(|tg7C`IPfgP3Ku
z1@v1#D%m0~v!b8Ha=hO`jFS`kwRBD+)T8VA`v?j#Qsvi;C<8M_;IS<3ftergh{%<j
zEcL8nj9#_zQ0l07IQ2{PxA?~ki-p|k{j@86MsJ88AWUGz`lu`6B0D3Zh17!A>9Twa
zBe9YisZ%b2tho#GjyYT{&IGTUE)LF>!UhIlzp`W&t!?@u)9Tr10JN2->Y}YFk4!>1
z_MYloQamqfVWE)`A&a^I1}V8+E;8ciknp`w?i4+tsnRy|>ZO&~gXyiJSBRA!?ue05
zo}?9C<8+(a7b@_lw-SacIvRODB}aNANiQONFAFA4<0C_T<WQ+p(+u{Gpz4Vxsy1S2
z{mQQEHM%)V*RKPMLt_i?Wc5_V%&B7l^;yg~wmYVl{b$aD|M3DiEr1r<V~@LAk#7eH
zd)z!?OY0g8h%_dgAb(UWbhQdVo4;ZsCo0@H4zStzbn*sIueoTDLd1fT4O~6VF@x-E
z+k<E@2as6u8vAtfvP<O4u>GW<_^SXps-PveEnZr1;16!ol_zbgE(rGJkeK;C!io0s
zRI%JOW;JmGHt^k@`fUa*2P4!T#%@i^AG;sK4S${g?X%V5n{k*a*Rq5o)jSd27}t(~
zQTM27h{+W>l_Ajl8_rms+}e{JE|=c4KAfz_gvyMAx5wK&K05qe%FXbs_U{9`AAUW^
z_LZ5>TsyFf4Y)tk<J+s;BF<f&j0&*n0Q>$08=dB}C4hWwo9u*pcnxGcsWLN<@pXEi
zzPFi6wR9v=wIb|uU~gwq8BW+4v@w=Sq|!JpA5NDfgvUq>L*?y-?g+wz7YSIoQEdTi
zKXRot_wEgGpxh!ah+3^ey^bE>hI7B0Gn+I{HmBVP3XmdoYp<l16AWl_wyY+S4>UI(
z2N0_h=QD_|$Bwz5_@NARs4kbx2FM=eA&)~n35)N<bm)Y>*Tn`N47yN0m3{z(Drn0=
z25q!)<A1yHM-WQ|t+UBh;s@1N=)C0;wZ1y`e`tYHhk!y!HT@V3=<_BPGpCv_su8c%
zUTMK7y6EL=12qQr86J}J^~Z1QR)m^*yC_{=k7pf99g^OALt_R8A2gTtQy~$PAGkC&
zJ0TO-;U8TcJwAZunSVJf!IDZ0xZBfY-4S3TyynSe$GMz>HE>f0KYX_BrTDP{#I-&q
zpA2QWcJMsib+|7#1x#u;Q{1|=LHWd<wayCpz+kM9z{fWq^uzo>&1$I`p{4noOthX?
zQ)yZBoS{y(*h}{2^V$Z6Y*T?U^WGn5`(5op;fFPZ15laZCY-uSprj)eH7mVg&28{`
zki*`TwkBmcsy%wC1^(>>Kd-{*p?CP=%`y@;^!+?xgk-<Bvc&3=udup<-EBjF$1td<
zyeeffd+q7%N-Xrz@^yb<&k4fsloimPYBqno<>V=z2`5{k;t@q6i&)7D{e~`p?E?b9
zA(FQV_cW?jnLmG@EhoUW$lF~ECgF6oxPwOtTlh-$X<RYKw>c|}4@obVt1-!PaT<fV
zih8BR-#9o5c;+PUrN-~Re~)q@BK(IfZd~lUTMwj0Ioz{0{0Ck3YU|Ux=CIdAFXboa
z@{g1I99o_AX4q-1Gf%y&I2v&(O9hfm--?!z@Ygd1703|VRZKYXPa~9_+J3PX%*3>Z
zkIlW3$6Lfzdq)+kjYHQ*-ZgXQSi64IcEP(RQbq8C^viOHLLzp(9e@6b`px6Cx%~QA
zUxp34*N6J^P4)K?jQX+P2jB>8dD_Bw1n=>Dm@4~8$dPO;|CS(9Dj5_}m%F7{@o2wj
zgMWssAjWJHiuwLma9Z6`u13q)Y+G!MZ1{;w`%>9SCs8d*XiMGXDG}YY*m$`vXkl%d
zbQBb^zna00gpV_{yT~^91b4C^Rj)A=soi-cEN9~q(_hbNHR2GQG<o5*{iVs(!xA|K
z&YPTniZMmJVE3&SyQH%BP8?CtgcpjoYF#V8$IUoe;U=*$hq(;0E&dKW#6N>BtTumf
z`3T3ZIkkiGjj|aM)TA3W`DbxsOiX&Zz{&Z%D!$8CJ=H#g?d}Qn-@Yg@`5o~&+*pRg
zX|Un}rvOF&K1Cpv!TUl57JNYUnF(xz$hG-9K~M0v=le%Nm^`g<TlLM0E&l|smsxgo
zlwh^N7AvdUA5D$p3F1_Y#C$Qc$plcO*<mhTe~&H9y8((nO!P*myF~4(-6|2QnOl7T
z&&_0=zqhiG(PXc-QwkIe5{-b-V8;y&0s7t)e*RZM9%5|x^yvE@)`HPC%dfP9A4?kO
zBT@WH6IU&p&Rp3mO&gp!xj89KBi<D6A1V5Qqd4?2KC3N<txE8yQ)O`MnC9z45GFhl
zY$8g~T?dH=1)CxS=O<dzp58GD9Q;!*cB^3J+BI^UH<&cW-opLL;xD)PYevKeDhl5c
z%fj>6Fso_GM+Angg9<xLdDz1RWQ)}Cd++OY*E7_V;yy@!m3H=2Zo`R})D(nidYg{i
z5O1j#*I)k`)M9)Rz_CBFGi4D`@qz_Ds1@pDpSW4jH9c#eCbIjboW4sPxjY9<4)M+N
zm>iO~5~Uhxi0%(QHx!c$#>j>YGH*@Z?>e|V?#O~med<2v#*u_Ja==%ptaiN{!YKRx
zo;#0_0M94Vd<KQ?`$RRb5$D9kx)0Rw7l0b=vg=FKdY4CZ0ENCp@Lp2l`Gff$0}Z!%
z#m4p=16!x4LZ~ZA&rhQ5RE@|a*1jOF7(Te*;-kt<E?;)(A2vhcZY0KoSTicK?dDDM
zk}n+_M`}Ig0(RT=2FyMJc0CS(RWIdWrdp9R{xig_x+&G)N@76}O*b^cLwPevF_ysK
zxVZO`q!wf}n_^gQP+f(g-=_M_5e)05RcUKmLcBr(&%xJgG?-dSf85<d#Cy&QYz_IF
z@E;Ep=YwdY#a*a{`ZXZ$aO(H|={isfF1~^MBfsgwgUDB#Tn&#Awh8rVMU$2K(AK>U
z`W8WCayY47C|TK6ZN$FnlBF|eOI1)U5}%;*%f1UHx?4U46VSEQp2V2-HNzHz)|F^q
z3VB(oS^6lS^4y)W_P*wU@iMkNbR$vf6IB(X;?EM)KH8FEb4fho)q%#^a-v1<4}<eg
zA9^b$^LctCe!cbA{=C}lEA}!4?`!z-7$)A@lIX?5r5<tfiOj%M0CF*@6Uy5|g~5!%
zRCRpp)+WDsb<}*WKC^|wI-ldG26p^6POBdxta#k*ec~sG+WY9eGw)f>-QcR8@%HBp
zPTr`D!5@Xx&ydQ3c^eOwlSQ(RJ_7!=$9!Zs2-8%3qgcftTra<R-hc9k!Hve+GL$In
zK{&5vjW4`Nk6#J9$cnzY*Wo@c@^wk?B)}aucjDy8b4d#Sq5e(q%lnrsV?R~i?r**O
zA+NM|=Z@?mABQA|OguwDW1eEjEWJK$;Q1%-mSSN1+vH1AX%n0NN+Uc)%c`j7g|+%?
z2gt6e*70fRA7b9G77f~JJ`f;|RO{zDef4m|v!+i@RI<1WgL0qA)K??LliunSJ>*CM
z%wu-NlQz7Mhp8ampre2jZ}AQ93breNB=0aFf5gSjqzpD5G;N5GW)A!3J2BcjXIUn`
zBBEAri5<#`d|+MMQ-(KRUC38F+54-zt$aD9e}X=Yi%bSRENeuFfw-d_K(6~GfZba$
zhbiLGa90G+akBR=BL9MaKwjN7_g<ErRF1G5gz{#zs=_~2wY9q=Y9+uX(xV+>&c_>I
z;zRB|QkHsd!yHPj3nH*Of8H353Y*#g>h3Bb*IKyW^nErza`D?-OBhCTO^$4S%+PM7
z$lZSw$R#*Fr~|O2Mj@G!(mpTd%4tUkKpqd(DehxGAeR;QunXs_ljSY^^=x*dAk0U-
zrS_kamDAnj*rny$Yib@r$_hDi?9kvuaVMg6V@SME$(8Q(58%mwugRpg0&1Bcx~*JZ
zc>ew*u#`L|xmegaabuN-3gwvDJ_PCOHo=3Br{)3K$qD#dfp0IX^O3*j1aI-p-*q#(
zbeP)keUNiLRv*(!TNZXyu=}XBE{GgVW{IqxO4t#<udg2H5wYm1qzzm-hHgA>7k2dX
zjF^Bh%y5V0#-e6puY{yEsa%s~a%mM1YwL%bR4Z9|3O;0=e&J5&B}pwXybaOGX~W<a
z_h3+4TQMCmVGGKKr7Cex=4(z_JnWknA)EUpU_N>;&c1y(tXJ?|RFUApWdFYLFXDUc
z{*0|n&|OYxCH2Y=Ek#hG$_<6A0H9Ys6=%#XmO8+Pqz>9J1BWvlR|dXtXlvAM4b%Y;
z(@-)IFIa~FK_UEn({b2kpWKg^a*L44V?gn|CpYo4RWn|(q?tUSh-E^X%pdXHl=Qww
z$ay3Q|C%@q>KLaA2Se8R1O2BN3cUq0Tfbd&%p8i1rvH`5zS2=c@31pfD1PuBjo-JD
z1ur!o1bCRUhWS?b?|!-0<q_~U1!wQb=+B}QYv8@kh2H$i*_d@v)^+|A^cg^XoB8dC
z_HWo{<?L$eD6-P!+*%zNpw6a~SOTY(_+h!;t%jgLkze+j<>kqT%gapf4(_{vI?rvz
ztD@6y-T!sBV{Wp!FX6aD-)~m(V5Wr4I^Hq(72h>*dfRz-1+{@haAe+^YlVT{kFmpW
z(oL|tq)CFT2OFFkhdq94&}%-}UX^))&LCOTi;!siLszqir<PHYQ)oV#nVEHm^ICt)
zydDy@{|7#9ygZxA`#=ndT>$g_P|S~nSFjjsW_7z2FU%CreqaxgrVK7=uM*@LHa4#A
zP@+{cpBiQUmT0?!<S-ZWBHwJO@NRLRGl4kqun=P)dqm#f-B~C#0~saZAn+21zZIxe
z|Bj^Btp2XW+w^AfQy25t&UAzC3K?&u7EFJ1(G&#~vT840m$X>_<}?FsT$_I?Aw_8M
z)hCv3PJ!0<=iA%s_qGIgQ<!Ixr8)v1xx5O)tM)f<Y6sG`kf`Hh;MZS3#0aVT|Frj>
zVNGpazqg8jih_btq(l*nZhDa#5)lCrB(^OgO^TEaAwuYcpdcX91e6XzP}nL`q)7`s
zfCQ3=N+*y&2t6T`B!uv?-{+k3p8L7qbIzyp?a7CAT{COV%xlfeHRf1z{O9;h6I)VF
zq)b9EY7>#)6D8^mUwK7-g%l6)ka-eQoG2}<tc$A5r49bbpbUpBZp;ev4n@+)%%(D~
zNw3XXv*3mNBWCn&p-Nq$@ml<aF`ARC-|>M4m2YcJU`B`Fs3%rqdxW2}Sa?P4or+uo
zL=CevY&`X3Mr<_|{ua+P=9bVbb2qAAT?}Jf;fbUA&ReH-XSXy70$FOIH_)sfc<UaG
zc;P;fMyFm$Bq_<&R=F{#QV}-e`#h(rTTj7^SnM+M$Ej1`iMWKgx8&R%pI9zdO(Si$
z&`^zoaL8lW8d+R#I#zw#2H;4WCxy*(gp9s*{*-i0wA&A)u_SgBuO&K@>%&;D%Je^b
zEMK=fo?tYKSrV1U9%@zuOK<-ikU0hM>U5_`I#p%Uh43|3=2Hm|dOt>BNx1EiH=<)h
znK15iS@87vQy2PPpf}PHav79+fB<7O7d^o`<uTo+`uN5$)h|HVwn$diL%Bzb!?C;r
zH0SEMo--oK7W^9ZBHFlZ9*8Ro5R+moH=!~VcjHBtaoLb`Y2maPq80>{@qMbt%m}2%
z1NKc)c5d!%Fg5xNeaUBgN;Ga(cp#b;hMsn?oY0O+e$+nKBE-Z5V*Oh+t7`#b+;dE9
zi^8`QL0L-#aS5zJvLH4tgVOk0K&F^fcVEkwKDOP<LQ%rwn1iU5jVX%0Zk3jfy!lKa
zpQN+|=-G5XIcLd75piLAbpGq#nbEQY-91M3Er#FrJ^E|LxfOqW@Jg4CpBhtAXMbu)
z(HVcl3BusL;#70oxO*#;lNBYywsQ0yEs7KrOBrzm`d#zc(!TftfBLVRuYUeMdi1>0
zt3riyhhOQ@jG^r4PrQRS^et}lAA9xP;&V~KefbYw(n2@+6ba{)UW`-?ZH8krTe!0k
z+f!Q1!5*FAw1Qn^S?zub<RzZ{Qp8knF`(&)_*mf=IR_A2XvfucMmJ*f4gpuI^Qzio
zY>-Qi5z*8|%%qd0*^l+4)tI*NNs!gex$!#J4+BVH0P=n2tuiOJDEryNndo=L#l^b4
z?yId!2284V^E;gNu1<53qqb38Yg!#E@LLM+h3<-dCux*Bjo-@elLarzc<Lo;^z+GT
z|5V(bF{u`K-fC3AGF#a`Gh&!nS}3*q6#AQW{|7ePs@E@*SC+K4j@EU58XQV*(vTql
z8Z@W=3Rxdp$87>0VmKZ38QxP01x8a{M@XP`&gQMxak1Bs!9E9CwRHkW1nw_shzO&X
zH6N(vAbG4$zj-WJzMd%x^~9(rZ-aNY<{XCQY*mv^EHtPeg70zMl8VLDrH=5Q*=RYV
zRC&(;tE6!)^B_XzjyhiQdE26jz)kCe`lpQVhr`J9j%eQ4on;uq%H=$9bFAfsfwYq!
z==j}sQeEN7h^e$1cJfNymN3k{ag{hepOsXR?Ch<ZnH?ut>7jF^Idxu4Yq*kpTV^bK
zf2#$CTvkyfvmGd<jBe7#__J87V}nhRA>5kIk&Os~87-+{nHoXsxS>6JmLxXoWWAqx
zd_oWM)Y<2g(N;1;?6gU#)SFqwTR~!S&?}NKV&vv6G9o3(ZP0AvzP$HyQfcg=x9?L-
zO4BhJopOieV0{TKZV2lgTk2v;GIs5ih_tiE^0Q`s2ZP>tbBwb|WT0Dftu$-|Foo3o
z<9z1pLT3%ry~8pIl`4}H#Vx;vLYHB(C{19almX{kP~k#W|Ad<MJjQEj)Jj5U>LTO8
z$HU#oX;15Ag+_Fhhr!~AGwar*pU2m#zn{QaZAwy>SJOc&Wa(S}z{vKq@a5lTGv!+$
z>-N`--92-M@;pBd3ulb$&pJxS>4?^{ge+c*mJ#Em<=DZ)qG_bPU6PXoeXJ-tmi<V<
zPB{+4X=oFFfHA|0PbY3StNg7Z*I61~Gtr4{-rV+4T^&7$8sK-(?8yXM1h_YHay_1Y
z*9-Lp1%OJ;h51k5_a#XF!7$&CcG3mwDGbFtj1>7Z?CI2c{2L7fHnUp`?SgWt(tW1#
z0v8{V+Zt5PmNzg%iJR$IgDBn`+xE}X^?XiQicA`gPh9PZV2yNBZq8;ws5hNpsyC^O
zngna?)$cMj&ubZ@SxHKGIvkNT#R)r~Jpg|w)A`-uvwZDmi5|$bG<<<q43vAsV|{0-
zkL0!$FCWtvbxdV<YqZuUU&liglZ>cq-k;Y#FkLS&XQ~J?xxFMg&P=!th^E>|VR)Nj
znJdPm`fe1bDlQ{fq(ClB#yaLWtp;ROR_Ge<YO7uqT31$ikY|ljv?k^@{0)?j*jFFR
zg?Y-X=g*a^Nu{@j)wQT>{1DV5OM(|J8En`AIO_9PtIHcoQpSj%VRtHg?XI~>w2sA=
z1dX%*CYcT)6ty>pobsSDVnZX^NN1Wsvrms7Ja1(1#3FFdG(6cgtkMR|XSPEP(45n)
zn}++GO-l-`az$B|l>ot4*PV;>A6*|(#7xx654N>&LBqOWAGxE#tYl=L*~B|7ol_G^
zgILx8i8~NDDSvV0kJL#bk!AF2rj=z4;yfFA6qhW({9-jC67dszYV?WBSCI-VF(Y43
zX|X;+w6()#9|^>mjeHt-iF1jrS&)|^voZR^R=R*LXw=-^B^clqy_zvRJyRw!ex|cG
z1!c6yO@epRmTYzUW-QIiomw&9Wh#i~D>4BWyOCXY{f>(WFDbZQrp0A$j84t7w-VuB
zDLu_9KGmL?_U>Wofg$cbjf$A{+>IUq4E)$DC-rA&ZVJ-fz|L`%y4%gn#I6anA{uzK
zaC3RhsTv28LNa*JkAgkBFp;&?PfCwWj(Fj0r;{D0Q1Ui6=t4=#tyy!xS<+aG=5Ln^
zmqzb9KB+US%w7eJOS^`wllv*9UaBc*awF%bH0rNw4wV;z!%tV9X`L1c*0|-klzXT0
zqD`1-YnLuKUd3bgdJw0_#uE;G4tW>7(N?9B+8P>DTH{Pwzv+DqAUb^}0wgIRLR@Kp
zm)8a^7r_!o!p1!8SAs{MhjC-w$M7E7Cc!8<IrrludM#V-YZ%t?9+gO1kzl0j%%(QK
z3R_D*R+T%e=q4ivEqWXD^fr>!4Pa-)<#p$kkp|AJ&7@AQLqh%1kQX4ZZtWmw`6^q-
zKp{o9X9YyWcIuQ&r$A?Qxf{_kuY_}oLtyq1_G=wFOo+AazP{cgy97=x*a;8i@o;oU
ze}o_wqptH2wY(6l3<U=TvX>z{@tgJgZ^;pJv4ozBG}bP8kNXQ^$6LwV>t7#^+#Hyz
zit7PN8l2$&v1dpM^<!h%LjA4mHW4*I=pM^MGMdM(`a7gsm}&9kIHb4CEbs|etl3*6
zB`ML|anI=b<mC^yT+qE5#|Izy7eofQA$|`F>OTM>df#L`SO3=V^d%;z5JJhQ)R2t5
zddH~#^#jQp-~9y69o=wUOeB={fNvdBOS=_cH2s`sdzo5r4p=#I4hvaUl*>CU*q$0X
z4lUB7ybYC$vm2Y(Vcz&O#f$Er6XC9N(uGOVtrp8e3oUbh=7!Ggv##DoZoQow-(xWQ
zgZJ<@83?!(ocgg?hr(@PEHE`OB>@a`NUc4mPef(DqQyJ(F}M6z60~ajZlnpnRm(5r
z>i6O$xG4VZ?D=V-M4g|9#r6qt<a;*+BWfxuFHuJNl2Ah8KG8h8!<QFfMYekH2Eaav
zuUii&ocoII4b50V%F2!Mji02AWERFqB<O%xuX|F4hGZ23hW4!UgBguWqvZ@nR-vMX
z^DtG=(CJ`weYaYe&%Q$2v2{Efjqx1Id%b-0cj!gpi)!8L7y2EVnF+Jd3?B)Vc<Z!;
z1}L3i?f>Zn$y+ro{wF>n$iZW9j0xPB=RAB7F?#`EyI@gtCP4O>!+@Q{KM4YCWC!dO
z6=-h6_Yv5q`SO?FwQdYZVu2DEA>o}@L2h2h{X8=9*8ZOdk&mNG7&H(rh;bT6HNbCZ
z$&IqiWyK3D9{m!O9wxu?*U}sr3^e4`fw#xvou*!PrgS(}+JKZQk6_4O-v7EN;AHHS
z2KrPC*YQq&|CjloXIpB@W9Zml^-ycAJteUU9s_AN5B@d}+U~m|_w`$wE~cXiC4NsQ
zZ(vep^o7U^Bgn!DUZP(q-c_oqd5xIR--;r+_O}`|Ha2UoS6pcte@jl1d^@q0tA=Uj
z5_K^x+$IQ{y8erSI5Vu8#J}-5G#h`V)ew~u!j&GJLr^^A!8*yMQ<|7vZ5{M5I#qAr
z{cLb?KIuG)`%b7|Or*u{yg;~yrA&3m=E2yCp`Gb`C(7DL)kv3)tWON;A(!5{p&2T@
z=Uf#S5U}w`W~fJ?6>K{)P<IQvvtg2lvpm3JMjhm^`wj{j0Nk_91D=*#aY74}???F1
z++$O?%W4PP_P3(wn^x3{?ZE;(*LWvmaI+g+%Mj<i%8hD)9iKh-9%?SdBhjNA>%PP-
zvws173t@b8x$Mv`A(!@<ZsEyrX!3VJoQo8+l0|0aJyR|ILePhG{RM{G5Oo{9kox&2
z?D2EAf$ZEa1@QiIE~Rj#p_-kgHfkX4;WW|T?Ea{H$R-l-X|&B$*Y$Jor7Al%Fs%OG
z56HYjO_vNWhf8-uxp^b`1>$Q5T_%ZiY3>P<s`$$RhL%fIcnp9Ml@>}imU-W~fdh#_
z+;g)lY~)M1>H5^>&(f21#`xH7wdUMvaDdHJ%<yc&I$V090AL<G{4jWNw6-5^$7A0E
zI85zrp=IHFQv~*|YtqD#Rf=g2Byz^PKNG!2UN?8z`{6&=-qS-}Ujk^ifOrx(A+-os
z_Ja4Gf9NU)m{|%4#rrRG%rOqhI0YF*n)y!M#)K_=>9<pJ2tQFFE&W5J%wP`Px6fUC
zIrkHAc2B!tm+^T6y6P2yHS2xhL(7!+cwZV|mT!XUA7mff!a2QzMzYVWgTAOPL<@rL
zm21t~oiNU(aAb9g10mWWVC_9>;t$yFV?|Qk@7mwwakgE<A<|`ulTEurx9WU-o2d22
z$QOB%_k3M;Wg(fH<r?hR+{+;df(T&h<t^%IC(Vjf_T5I;itkrQ7tP-V)9F^eQG%Qc
zHrpozzs_%idR!|<;vlGvYJH!iggW@|CrJtAEh^HzSkU2eJKPqd4i;R$O4`WnIuN<>
zeQxuc?QKA7*b{a|Bu8QiQfjChwU7kMKQ$XibU16hJQ{3N<$E%cI|`5zW+f#&%av7H
zVJNZdB@wqnj7M#LNQwzsJy%hc%y?Fsa;~raCin0yYl2pwumJh?VPpV*h{e00(~j|{
zzUYSYx(-_UO6dqH-udo+B96yBBI9>Eymx}xW5*Yl{yv^Lb6iner&VQIIgNaJ8W_?Z
zW=Sc4E?$%jnSK|S$xH?oG{!qp#1<H_Yr%W#kt(F{nLX8tW<BvknD5$^%m{nwj(Kzl
z-k%WxskaZ?!&ktSNT(S_Ni$a9fCuLo?tnO$v$>h*^)N3#^Ps#iOnGj7utH~4X}FNM
z>B*N<jpk_KBT=G`0i&`G1wxKNXAbsBipm%dtWm#`ln*FE#8=Zk=Kjjhg|#NM+J(B?
z>s_WkL2-qe=*GW@4<EmuLKvS0*Z0HK>-3c$r&q)z&KjqkGfvYUX&$lZeeLw-F*#}V
zhNQyjrkmnJ;z{CT$m|A1=h0st!&-=WU?Ma)PZ7sxM*v{88p-da$^+C{`b;BgV@2B^
zyo~bpE*AABX<KD*lW24N*(r370JX?5>eBi9`<NX_f`xxoVIDhaSyN;?)Lj*8V(!#D
zrZD<v*T-o9XKY|2XfqeR;87sl9TAc}-tZgSaXy|-B*3;31QB<puS1YoFCudzkV!Az
zmbcp*cjj8nmb7Zj>y;(dOD%{iZ=|4m?K?m7;)$FOg&%!YvnxCnAj9)#>q6Y{A$1yJ
z`tJb|T@s;vmLsqANor55B17GpEtW?%b6a~D?AegcZKX(N{u~|)X=zfQy0q14rt=Da
zVwaw>QqU0Q$EG&{9KnGbz3Ul_Lv81U48KbH6M&5GP#WP3i&L3o@8kaZ=w5qr{+#S0
z?GX|ndpk2qpe2VQ2{<WzqbXvZb(7;I0||7k7OptvP;=Ww@K}WYEqz$i5TWs{j=z9p
zFaPXOa;?k*nd;{!rNt1lA#uv<{(gyo)JVMq-GZv>;u&w3;Ciic{qJ@%8`o3^f6vJT
zbh#%QxUQR5zJ#S$ed_@*RK|*dQ`o&2-A&F%6Q_df=G_m%=Ceh!`>P3K89xmTYubw^
zj_&Dz$r3}ss}!l0>*&D*Q#+%c1lEV-#5wn|!UUVJW^WYdiJa7Ub5dzVh!@7CtK8-I
z%3Bp^DCRS1E1SKz_A=Rbe0GXsYNhFfu|xS_Dvf~+2LRWA3vnkdVy?>&;<zy0_e@$m
z=mujVRsKPdw<_oRQG01%+<p{^a^Lgs+$weREW@>>bPRo7iJ>5n`x%UVK-<sM6<Qtq
z?L9bPb&mam&43P9G$V|BV^aXgjqEu%Z?yso`M9&zUysG#Y}RumFw(_%GZSn<)kNKw
zq!un~Jkp)rPzwGELa|xsCr#OY<`?V9=5S>H^|BfKGGC=y137a)70s3HcMx(8_qhyB
zv|+4l9{wv;f?ZuYqR%EA)am=3CT&`3P0lnLN2?1P_`?CS1Sr3nZD$jD(;4$1xb-x$
z>Wn#AYiIL0dRKyj7gVC3M)#3#GiPji?R?&3_B!_tnt^uY$48Ul0=m3zIf?O&A1_9H
z3T7ttTrz?Rb`G3VQzl4Jd=cKEqNFa8V%&+A?D}kv#>?|F($#zEXs6ETL*ZcaR)-Du
zv3maqpy$*vzyfpkl;IV45%a97;~s*H)86!&)S>|Y05gWx>@b`8YpPCMN`*>hY${k=
zTqJV$M}L3y8mec#AJ3z$^BCbBIxpdtm9AydUR@`COFm0dKzqt0b=`^bHOb-=@8x&T
zy(0R&dAIFq?T5BBaIUAtSP^a}bzMu{qWHaPGW+^tGrps5H8!3gbzn04>n(bEV$Flt
zxF9TKK(D8E^vCEFU^v)G)=^f}k@fV!p;zxiQPI#A=+$(|mEz!_0uh)KjPgcCByrG5
z+F;Lh&xK1{9MR@{k9-&zMt&|txi^*BGkk}%HC3h0O`RieG6GW>2yqiysX}w{=wGKR
z>;wd@w`t{9O}7=#rroo6$)9OjAC>@%e|BK;q=JIXp`4{+XQcq~Tc*=@*3!-EOz@*`
z>O^n12dVA^B>PrE_~Aa$5mG&p;(vNJkj8qf_6WmGtjSFu(zl}{hbs7{#KoVU1`#z&
zl`mFjSEfvP6%_ZS+%W6=b<Ilim`N@id?{Vh;$e^qc*Z-`lIM2WdCo>9%IIF=sc{cx
z+Bt)1+W^58TAvr&EE7e%HH>VCR`U~qhMja;EC3IkX^yQ=l#oNTu9f9?1ZNvICPyeX
zS4ym~;Xw+0*6UAJxh<v_TFtkp{Avm68-0^TQ~Q2pC^m!sM47)}tX=RH$L)d@WF-+8
z+a>^T0r2itoB*dCSk29yZ|@Am2E!5?2CEa306IQ?&O~-R6zMXj&pf$}vuqK$?o-oY
zp4!Ek&cGL%SAIQ6vkkb!ddb`vu%FQYe$}cdM@YJscQTRapwJBcl^iABz!{NaiK78&
z&f2)4j<dgK-B&+48BPKt9}E~g`J0Fv?-;HCf5Rwp2da#@F%Up*K4rdDRRrWDd48q^
z-trCU?jyXHUhm+j`_k#p$z1fx2?WvvB{8AmGI!R$(PyGczwvso^8MZyjtUt>H4H(%
zTT3IhB0n&ptj6#4dAr)SqV(m<iUw&rY%AbgR>0fc84XGZc1o;gV|;PguV&tFm3pOs
zF07=ly{zIpu;STObvnowH5ivAc-BQ6a$bOO8T&?wa4`3bi?poXz9$e1Y=Ah-M3#xs
z4!0Bw3D@Pt7(v{s+ufl7C&VksnZ5beuY}YYdChZ{+_-NgFZsuSfRXi&_y^G6$%edX
zr`7jHVLO~BiCwq0S+n&xqZrU!;-Jd~@R_Y{)viBwAE#G!UDGU@r{)zomi?4)w^a+t
zxHd(W$eBGkx|kp?LloIts9!6aoCr#GDkzr5jH)_l*^uNpKTE;2>sK9*fi`uA_tQTL
zeO`8s1|ljKV7|*vm@eMHdGJNoc%cBBvKNp^BA#0ZYJl#A%6T@R(KCJ+^!z95KKs6G
zbhMT&t1S++*(2C+F{O~Xn73B1dGcHPkISxEY>59t)f^Db9i5Yo+>_{!JiEtQl_v2x
z{_F|X3fl%#Yu~U@H;3l6u{=`NxNYmS57N?HtrFcUd#5^MgIa#`%Nk%S^p?-}`q9$!
zY!j>cdP-RypIlNv4$VIv2+x@6HeMv%228$O9hvxGw+vl<uO_Rt<;T1&DBXBfEuW##
z>b8xIcbra#-Y<ey+*${>w3S9<s-bmAZ5Ig{HV&8KKv$z?g6j<wv({yGpkI>u24Ypm
z@U4wH6jJZQ<1dd}YdJmz+NqJ_`~3mlA&7X#EZ}aD5c$+DnN;omL$xNaZ|V_xg^~&P
z$L6}KGPQ=u*?|`R!LE{!71pmZBTcH++CWgmUTDAJGy3AxKgRNiUtEek%9G7TBi$o}
z*ua9Yo%PyQnO3HrxaeAAP+;hm(V8QeK2@3t2;pMK9pdhaTi<$?3A%e1i$9>RgPj>N
zXlHMu*0z7^X6ud27lix5C?2O25XXC^-^%!4KE36Sayw^s>CU=9H}^q)sEn>eU|w_e
z0UwaCMO6D!pD9T@O=U@~@;3x<JP*T(*xfdQ41AMP@&Fm?$?nHR`NbZ#-+QVBIrw@=
zKJyJdb*I`-ZcHu)qS(oEp6vE0aFF|^J#{s5Cw$)_2}g0i&9QQRc0!d!z`L%+zDNUZ
zT`BywbeMlr3?f!#9(K>{kaKij?!{%3{BR-nzGJchM;<SmkiYxVKAoFCaewO^ThV4e
z6Cl6w*IzaeA${pr0ebC!Xa-IFxh`YGxlkxcvb`<wjdogA=u5UW2aoq}`P|Y-;k-xL
z<P!SzDYJQC{cvlNb2~H}05}kike5Io`b=r6xkXA$MPT(-aix{IaG#rZlarHwLvbo&
z6HM1d#n(D1><_T#)m_)_np_OHM*idZ`ouLU^y~$VDz?1wZF3Kr1RIz=@q;wwfl+@Y
zJd@g5Xg8HtcyElT1y8m3W~5c(wooJa!2z2WssS`VCY@u+ArEmA@hIfI?joTz^$$&M
z-X@M#E^4BxedkaubBfs#)itN!y;IbKcBTn?R=Bokw=K@*($b+$vn(EUU`oLs8!Z&!
zQYwteD2Pc`I0;$KKOXG-SXuJ5Ea_Hx6(w)Rg@-kdOP<cJP={0z?d!Xv_#EAO%VDPp
zmoZ(`SknC(_IJ|5$9By*e2=gh%{jWbMEI(@g%L*HBq%nxhS8@=z1CA3_`n=Z%k>VR
zHvE;|a5fVpOYceuol{Dnng|3OlB*m9Q5kD-OTVPog8E23jyVnuPf_gYCOO9`&UC{Z
z5DR^P+=M$l+B?rkhc{G$40YlnSNoLuiN7qp_l#C~JDzCjL5IFLq1hG117B@=&FsJK
zugRLX_QndQrk^llKUhDx{sxdHy?ah;1-AM+-&B86{+_`#374H69|6EelN6pl{d+Ra
z5MqHJ(QHH<-DQt%g*oMd@T`5y6}p&TA91(-bA<;t>S6bGf-6#p#D`$L(&7>`d}%Q}
z3lDG%;AtD$r-jXb&z0`#A|sW4CR@%%6E)a0_KDI2d!3cO?}q{3;h{`8lHYbcGUVL7
zm{ubLgGYf!E^?(3>3HCf7T7A1qv-ykjsd;5HPDW5T~S(GaNy=vv4Py{doTm~jQT}r
z!%;5dX68V;hz9}*-Ycz?GB9>5sItKq%@00xtzPU_ubPZ48}S6W>d#(Yf62P<y58h(
zyQIw|^i(^Twp_EJ{|#9d<HI>gf7JvA>b&j}+NPRQ3k<1gtcxj{=5<LD&5tZ|hL{(e
zIMEPRbggxPX&ep!;dm7Tl&7J>sYfw5Avvn0>QhBN*j)lMaW$kosewFPJ?qG{AN>$!
zkm#||*FK(3u4qsSNQW_OEAIh^<CQx*TfmUY=D*ZRwQ}D&z)!T!kEJNj;~gGOh0ZO^
zdGD=3u}~}S$~rwdMcF)sM_8w<v9kSmGj}3Q>WeJv4Th)jnS}6lpmY%Rmc!OD8_orI
zN!*6HOi`ShV(ELk<u?&8y>y<=nJq3Hw0#8p2-E^IXf&*)5joXG6*wTMwhZN2I1#C9
zu<JjLa{dNy{7$&{V@h|+54p0Wm6E%(q90*G$_9;OG-O}kjueIVp&j~<{?OG%pb-UY
zhTgzdpqQqjNa&6AJD5L@Q`8oWec%#CHU2(JY<2K#DQdCwfnCN0pa88C%G8=#9vJI@
zI*#Uv*MB{#Z1cfspZrpUqMu)*`LUiBB!t7hVq?Bk5o7pTaE-w>BtpKIZ$<qsl{2(~
z9w#j<QL0l7jW`k3dlMm(T^H%KpIxhixHVmoJ0uF^TuR089^o7BU2yXI2ySBcd7%$A
zcg}}CPCQO5%8mNt(8VY9x6>=xFng>#-C{z|F1JnmRFv`@^{I+H;q{S6Ay4IHE{$Qv
zln=g|(L<C750A^!fZ1*VG!5(c%C2r;LR6q=PIj!farbjx-FwvV$RY?zA`Bn`n>^26
z2pn9<thy)B7?swh$at-H^hI9g_1yi&RGecqdbEcOeSM|Y2K?lXaxPE?-fu@d_7Q;8
zHgh-k8jx$_6csWM3;7k&vpL88mAeBgN>`uJ?z8A{j?R=D3O#taF(LNwpVw6NzVgLC
zJDlxsW19bnf3+0%gIa`_L!w9fIl@<=E%P3tv&Yep+2xms9u0VI^@%O_<Det=eT;9%
z!-STXiFtPkh!mdcSkJG|mPTh6&>qB<#J5a~P0tv)v$Jig%AkRGSvrKOTv&ZZ^JeSD
zm4YSuDPBj<R@u};<T*%BY1^BW3vkmS7h;qkuO~_nzF;`ig|7IK4w)qMusszDIIrv3
z)05;^yO#H<Q0#?F9BfzybPq4`ms)&BwL*7D!1LvW@;cj}gc#*=cMP;qxMXJK{nkg_
zAh(&aHqAag+ebcCXSOcHzWx%@LG3zMbp%iKXwOS>2(y+Ge<EsL(-kYF7LSg}VX*Ff
zQxcC8f9K|$ZmB7v6!IgE^+e}m%KI~bkdp~DqkqyB9u%2K&_z)=08fWXI|+G=Y`g|Z
zJnF&Fj7Tg7IA{kaoJ+W~m7HuM?`<z#h7>1}^+Akx5gWH<O5pVS9ZrMflMa5dvZ&J@
zf->DIVTqB5?#MJM-3WihLTggNN%O~AaO8Hd4Q?Q}S+P6B+{w-Y)J&L&+x|Ww#iGE-
z!O16P&;ZC~MuEB77l;v~gQY_Dz}j`K$>w6A_6Eo>D@XMYV)Qea&87xBs&!d<Sb*)D
zN+DJ?<f|y(FIxrTy|7+^5g)Q-Hc?3kp?R-YC5$37Ir6GMB;M6U3Ib|X#MUvKiv{ut
z1q*9M`C*OUKBFYy<KS`Bs%#JOeyLuySY7`V8|bGGm{yplw02lx5nIQTaG{Eg^C??C
zFW@yF<p6D4y;-=v`}U7X%V(TIEJzOTf5l`*ApZvLZ(yfhe=zHH9AlL_{5_JES{oM@
zgbw3Sq~zFt_+_n$W;!3aFv76-{l^By-BLXW%k+8`l={5d#Og*_Eh;UO-pZO6>y~2v
zjBR-m9j*LW0mJyky=c{on_vZu;F?pt$ckaKS2oz8Ob3tj1c&uC4ka}uPUCp(^DA8U
ziD+Z&i-w0;`fYNK@g|;GrBy`HR>HhVBEUd@X+QD%$@CFT+4E4&b8~>p$m{faR-sLz
z-dPm3x!Zn)t>JeZ^*ePiBwks|(O(r454c<Lcbu-_Pl+|`3t(s)ctg_$p$qkQRSHO6
z?fbluKAhk>hVy%1WRwAI;|$y_-xq4!SrOaY4|aDoWk7bv_o}$RND&dC<aNW0Qj)<G
zA)-Hh2@jPCD-R%ERERjww{=~&_r|+<@>$Yfe5pKzk}3(clB!dI%T#u1zoIU=G)=n7
zE`U~5TX)UFzjB8*@<^ZeLJ)H+IbH|cMHs0v65^NwTrIU^ISmQ>@5SZdK(Aaaj@CdZ
zXqdAvQ&vS7<^Q&p>!Xey(Wfi+Ik6!aZ)r5~xQgBY2uFccTu@r_s=FYVSm6wPS|a9l
zxunm$zWbq6I0>|=0R-eQrMB#9PWXoCJn;8MB+LB(_}#P1dif{Et}|34uHX+Xz*y0m
z?FKe`k7C0T3+NKX+_jpHUVu`kL76xWP!qbp4pol$f}(ocMXIfep!rD&wi7cNYEI4S
zs4y~P6Ft<j{+)G}@qv*NE(ekcI34YO_b-T!HDl6}t|%Ghajf(reZ1`};kEruU*(gM
zQT0mvVdxEuoBGFv(=?0wLj5l$_C!S+hsZslzR-id`rbDiiVZf4Mx2x()K}JgoYoJM
zF+|aUdT|0{i6j{X!BDv|>?}e5gTp4L)3e0OG3sc6qNH8UA`JZZxam;VA~8VaAo)my
zLC&mMln>(k^Efdr-FUHr)0B>Wa#AsliCY;6ag2;)F&HH)zp8A(ygMCy64=P&DEg1~
z(qopwc6Zw?EH5oo6sk)kPq-Hrdd)mJc*}ik$UK5}FqbHx5>)hX`Q~HA3qGpwk#z56
zK7jZkx8<<U-n2^NeIx6+uU17ni8;ilcV(;)O^`Pp?aRfBdjgW>2D|kZM`LCqZH&S;
zvMO%0XtlWC+X(=Oh@v*f$x;QU15O`}D(tU+9T#&5sqkDh?yybW^ljWJm1d8@rb;{M
z6bP;Tp}e38b9$Hn^-~Gmcu>i&=hU@kJK~!VBQVj|{Y__6;fjxB3ip%|5yGsdPxs&5
z&=OpKXGzt@w_lM;J(!bv(24xzZsT0~7KGagu@AM5O!(6xg=AUW`ic#(Nt{!UW#ln*
znAH`nI&N(#KcpgzqEip^Tmd^HuNq>C-EPR{ca(-Ogj(rBN@lchVKwgfbr&09mLBbp
z6dQ<U9giHGJso};&3YKonWD3}TMa>8o}J+Xtc<9#+kZVYcTK&Pe3?^h3RgLelj2dO
z!h_uLKEEO5{wE|b#!jecwG@!QPHaOi8WV6$(@U5e_wb+u_=VNzs~8chKBJKJqXFv;
z^96Qd-c>+TLr#}Fy=yO<glh@|?TuCJj=eflz;G_-W;YD-i?goC$t9&gSEjpvcOi6=
z%r_F-@i_@e2ZD-l4{@$}-Ai$UB9nkt2zQnxh)_$(<E_Uqa*HV*-NFtdmy8PIp2oI-
ze4D&x<bLZIj>JY*n)Ij?vMynSRkVGkAHArCXr9-F^<}rL8zG%;F1sXODS#!&r27`(
z@q2@7+`&)4jo2^5h{oqBtN`ta>cGGa4^=E<Vg!M%xdSzy^WRWLR`IW>{2-9TDV2PF
z!n+NHrwSfNgY%T#=HNc}csQNW=X&m|bTJ8bZ<j`meYH9FMQdpDN^RZfvsvbBGEIqf
z?p{NQp1a1)y4iZAWGN_`-o8dZN*@(pVafS-Xd!VYR!(DvKxeX;fdNp`X&AkfE`n5x
zxSgg&O#cU;4kuLCwjYh`O#(f>ZdTeZW&!IP%p=@@FgxS)D>eKCb=0Hgi3B^8qm?NB
z^w)D@+O%g6jkj^qMu<{CfD)%nCDG^MOX%Xvdbb+N59VqGBZ#Ygq0q1H(egXbrZgM5
z4$VfD60p(+)W3!@F@1Ifi*~-zFl?!Jg1Mg^?|R)Rj_8r`*_-iGCed|@`WlRk&9k%;
z75RF!3lmk!IxiQlb>G@kPO1k)m-m?Kp?zw&_`B>x4*<C+;tgWxQWY{*bCk{^&zAYT
znUO$a(*-+@oY<tsIECG$>R_rzvlyh~9(zx@3<iEpPEH!DhSA&-8cag2aOa}oCp)u5
zsCXaAw3u2^fL8yREf<m8cNBleuWzAVN~=VhQ2sq7Qc?J^2-irW%8Jh_zVT`W>%_*w
zF-)Clo;(6|D1y{X6`^$y>3ka}PH_6_M0E+^%fJ6d5A&p?0Y0~pooYD+`dz2E21ES~
z-*iPrK9Mp;PBn&@NhJFpW*-iHiC3pGVOd|DR_Mhk8oj+*3|qSZ=pRUByIBhBz!INM
zO2)NVA3z;42N`>7ogbSeBu6mx-Nls<PrA|`ZUt_1tK}P>U9YC93y`AJKpj%68*z~C
z%*dj~-HgiyPsK?yV2RxYU?S`Kh(WGU<Yh-7I!eU=`)3~GD4bJesheapjCXBH<`vEv
z)YPx+3qqDYr#0y>O35sdW0?Kj43hDhTWasqm#6a%K5fgJtGhu}9=oKZnDpcBrK6&P
zNwF~>4kt3-RTgMmTTyAwm&zB7rXsnqXIz~V^A_#ba-weo&!@YoA8{>K(`W?ibShjM
zlzCP7?#4s#?gF&pXf8u*>k<2}T{ssDFMDo(HM_^1#X)XWqaE^Z>m1?diwDRgCdD;8
z%>nGv%x&g9UBk<DG3=Wgl4`ueml2s|(oRub&LOcGp@{uelQv1QAkR@5pql1OD|g4K
z#9@&<fa>h}kt4w&{<DX|IVSGR@jFBZ&6_{|Zh6-GF}$1*VFB^L>l{AXr!-l0iJs>u
zW!`%DTExO3+iF9L$N<wxd&0ZzC^6ZqXc$43(=YDBmAu!nC>M#{*+*G4k9|bVNWowu
zVg?JkDIcerX$poKBHg2S<u=P{ij#X;;^mnKaq|sXhA0*Pjpy+lD3;=L>-BDd$0`eH
zd2JJUqhdL<wif`_TPOD0Kfyjh*dWDbwyRapVROV+FGC=U`p1F?9Q#5Ixpjt;3IMT`
z<M~?^89!2d+xjJ`M&oLZIB9F-1yZ7}c64bNuX}AcZQm~qi!RU_1A|_(E``KNJMlH8
ztJ@kTL9nxM`VBB^UM(1=jEk`E{84l>yb24_6daD1t-L9p2n{kWpt|HeUeO=TT4P?w
z*3{)3u++=d-9<n}sMlge^*PVbU6(nD65P>Cv0oU|e5E2udv}vW{Da}v*(Nk|AUaoE
z%5#=r4T#TT&%70Gdpk&Uay3tWms^bqnPvX7sekv1E!KD7`QXqQ&3Xc!nx-*LeO4X%
z7r=^$6$1dL;wPz?IoT9-y|Z<FYZiGko~vUwAI=vUH7?7!k4@VEq!nkKiR~9_{xo;r
zup$c=<KQJb?%yzaj!Kx2h0POLhF5@J=gm<InJBNM^KMq+Hv=TGKCzMa%#+EtxO^>D
z2dIWLal<*pf@Wyd71+p;?17k-u!|n#&b|zckB|We*kj`Kj>$dHB;J$g1qvWKr!Xv7
zxtsjAm{&wN-BWLH<MwPm#D~(4DHWyjQic(U7Lnagw#@21au!F2)p%sJ^5*vic;_ac
z{*p93Go7cySOn(y7EL+@Ko&!7+C&DzqI>97!i|)aFx0+g@j3g6V@|bQuG?absTS(7
zrK;<UL-Vk>`)cqR?HQOe^!L+ePhPRxaP}$_bCOiFUkzeKN`_c{X}+iTHC!RwF9k<M
zNx712BlSiemqfGlP84uvnEx=33@+})>negJE~;lzQa^`>ef~1h4Z8a?_42M_u(ZBg
zvM%D<ek{#5>+`<gK*C5bhYwI8i+bES*c&hVzOcPK-`V&0x|W(^O>~95SW3v<d70g(
z_~e?odn3&|iP=n_=ou5z2<snM%b$=DRhiTKdo?fO02$=!k-{v14^3<oMscHaSv?TU
zqL5Wxb8Z~+_c!`$!QJ2R-QNay98A`S+h>GfDN;g9rVm=r-jta6u68-#kZQ<Jd>$!r
zZi3GhvD~iIKO)yuJXGu*FqxAx#Z>dLj0ffQnX9t@p=>xns*N;EEMy9|5x!mKUM7yh
zb?qL+4>S-vUANWPgLP<ADqQw4*VsI=p`1bUB~yqmFVHCYEk90eB@2xCpEn4N=+fr^
z#sacbdaG&KOAXUWvahZ@y<4FMIscnhA?N!pTVo*3h<GP}+7a0sI(pMb(>2sLugimZ
zj1-Tj9u|qfB`nkD8xSGcJ$V%~K;QO9<<JbyWglx<4i_*vVu~LLVQL<q=sU35bj<c)
z={uN-<Bq=0Yh6c>*6{3aMhn*OrQLGDUf!m8J~v)www84SKZxD7pE$kNb&{LThnc^k
z3hMil7<=5=?YM#FQc0M>Q9jM$aVeX~tfEY=MGJVl5v1NW-ue|YJTV!!F9kRAGyoy4
zx2GQ6coR3%EjdrD8H)Y-$D8~63#l!I%hUEC3jI?4g%uA)Qy~XXNI~7W&e*%$x<MMH
z^Bp>j`@~B72e`)7o^}}#L48xD1=MB~gi)q#TKtTl0Bs}PNYi{BM2klB1;=P-7JBYo
zB=(o!3QlCVCZEl0p4&S05;L$4>~}Dg{(4(}{|1w-g}>sTKbURp*XcDdsCsKShPabb
z-YqdHv_dNgGv7GuL^Q$I2LZyymOtxyaNnJgJ<-ZBh1NG#sBUrw_-_TiYMhpBqzZb}
z%!h#tYPLaK^Pn+266Z<{Th+o}-u+3r;GevF7hu4&MQ`*s=NomFn(Xy@m3&C5qfUon
zg?1aJs%>MLS&UPj*Lm1LqZEn8ok33n0zw!9B;EiZG|C&!8k$B>rF?3$Q&uF2akK;u
zA*cnqip}X68r)5^bkksF`hkR;m@*&{7^012|8qc*TXYJQ2kp>?F`~^v{J#9HTgO+T
z|I-wb*pTna`3oQwQm3--gIzbVi_pY0*7$vK1Fb~cvVIQRkJM^O6|F22P$d!3<lLpT
zeB9c(Gj`ASC+$$1^HBfW@(DEwj<7(XFEp52K6o(oN@IDkAtKlQ^RO@=-gQHV`zcsb
zFfzdP_b82JrDi}KEf1r3iRBDxxieYsq;tkho$k%c<did{cqYM4GWX!tV}`gZOa#0v
zeffL@y%5HEPqI&eY*O>W@O7qWoP}Z5@?RAWRGI<vs+0alFy*iLBZJwNG<|dz!gFAr
zPL*j`&gq%xsbwt8f>2{P#4$5O6U}SPP?|KM3DNFI2@PExec-g2-_t4fi2B${Tc+J`
zMJuCD3%)oniov<6V)HDWKLvRlIB@iu#dYKRSQE>m5skB>epzRuc}g?-D_Xj+4xzDf
zqHqRh0C8O@f>FMUDaz;3-bIWx`1<9u6O1UAktMqs_y}bF<b1GBRO+xY@Z0K;#)^yB
z7!LIZN25P!`GS^5kLno5GlA!4P@o~&+N;fZreiQh*ru6#8irG|EUD$-8Y+iAXIrTe
zJD*HQO!A6*K*NetIX}G;;Mzaqe5n#+gRjEOIU(-KD{mcmK3}qUv<i_at@$rj9V86r
zb^nNGhp-b9G-Ms&**Mrtt(y_L1sihAr5)zjIVPoocV<&{7AcnU-Wzw<mcb$Op)3Z{
z5Ve?Ra<BCbu5&jdXl&wxmLfx70Un&rQawNAyiY6q7JTH$ABfit!Fd6*{{!AQZGDdL
zFcS2sdp-pD$nNl~wtVA4%>3Z=qfe&OZAY5xEV$Sd3t`aBzDa{arG6!)UeSCjcUQa2
zM)OMmQ}B7@qp~_z8Qprj4-K-#+re_r9l{{};(|?M6T%)^yCy?Z-NTc=dqPpchguyF
zpxNs1_PrKK<^v6(iqc<`HLZU-e4FHz=9l{67H(5wrYtC=!H^y72pBJ!I%*GbTB8K6
z?jOBL^V@=lQqTCx@0j=n0lfgP%me6NtGb4J)tap)&b8gZZ~3u2+m6KtA^Xf9vu!b*
z>So_K(h$zeH@ynfbO!1EsG(p!&4a1$dUox7-9ly%g7k9}xqa#-D6ts|m;d~<exJw$
z-vSLmv{!QH<_IhBC%)BI!UK4Vjn%G^`lxmb<R?h->I#k$#3_hfGpSq1?TWizUGpyp
z$bT<*@I4=%Qb6tY9Kj1v=Dr^J7XswJ7ldD4)r}W9;%;%~{~xhxTKFHoFnIRRqypGm
zRH^m9fAjB6|G#JW<O#RPd{MS{{}0zy$L=?b&*}OO|5teBr9=N(ar)VjfOOWg#~Jtk
z57(8Q-*343V%7Tofcl@w-v7CvckZ7%IhUpQFP!Ut$2seH|I=`pMHyH8f8RC#)rJ51
zkNvk1v)}Lk)rJ3QF#k_o^IxOzfALgJ|JQ^3?`HZxjM)DTTPPv$B~$oD#rywkCjZS2
z^UT{Y^k_;*_r<D&jQ=r}|9>O;Un;QTqOWenRE#L_RwDJ7t5ymBJBz$u^YJ<QcfImN
c3TZF0tPxxY0P%|-*#B6VT3;`}_BiVQ0doplp8x;=

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.1_8b.png b/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.1_8b.png
new file mode 100644
index 0000000000000000000000000000000000000000..479fd6c589c7414bfffc4380dc1eeca01ffd8629
GIT binary patch
literal 237216
zcmaHT2Ut_h(lB5Yuu<}&A|OQxO$Z2rQi2o(q^k55AOcbXBE3sdKq)F+gixh~5IRZ;
zMT!I=QbGv=(nLZJgc1Vz@#?MrcW-j?oISfcJF~l!v$In+#z0Tw%*l%<>FDUrXlbh7
zr=vR_Lq~TkmFdJ$j;%)D!O;!isG_SvM^}+>ifViO=$Q|ud0&@~E&xPF_cW4@j&hXs
z^d}viw<H}M(T0vrK8=p<{Ns1^_Y{u`BJEAJ9CUT*M32%;bjRu0>5d(x=#Rd1^cU%V
zwRV)EyGzgYkMw<d;Xid4=;)%H=m3A}m>=DLeO?{?e!={{AIqlyXN%bkf3JN!Ci~dm
z)5lVOfxRrdId^npeynNcNk?~1@Yj!C>;9E>Iy#0vCqq*&Q(YZ-m^)m;_My9-y@Vh9
z@h>PkML+qYB;4N1md_9F>gFl$rzG&V8uCZ!U)f**zQ0xRa#0d6)ivN#bAMvbCo3T-
zAt?Yk$;Zd1_~fC3{C)L1f54BPlms4mc|Dc~gMEE{C48kN+@CmtrEcE536{JDzIILg
zsD`+wznhn>pSYXn<=>6`y&ZLXPuLTu$6ikEZhXJmwY78i_EHiM_=V^npWk$PIXV0j
zlbh$CZXI<H{Hp{kB_Rp^zrgJMoc;^guae(jf9uz8bc(+klQ+9>@9FO9{fjJ!l#Gnx
z-%$Kp?mr3q4e?I^BR3~6$hAKp|B?NlP^SMZ{}(*}n){y+`cItfkB0I$Wq*+TYu>-q
z|J6Tv11CRwS5tK-xV@X_uijj{e*K8H|Fh^nLDk${-Jd*oYzwo8Nc{o%m#qJ+{WnBr
z|3oAud;MtK{)y;civEBqf`85Uzi_~B_WE1y5r08WDuVyPtB{kBzL7CHx?6Nw>MDkQ
z^ve^AsrDM_Q~R0e*PXH)`I8-9U1*O@GiR59f3qA6UYS4dHnrd8;=flzV{6_zMLV`K
zKd;>Y)`dRu9lUkS?iF3}aa9Htr>uqI=cQj7lpBazsul|mv%X+Uu=fw`P*xRD(L!0f
zciJHw%|K2^H-G;<WnZfuC}q|lba^=;l9eg!e_U`?n~;nlY5eK`Rf#q27N5WdK=>mE
z13&A3y~dy2QlD8F7$|mRioEq-FC9MC*M1C1-%kE7ge$5?_<Woehok|jeE;<Vu|{hu
z(%*G^_TRBZw)pTL;cKY&B69v$!jJj{WKzG9MJHJIKd`CVG#ue;v@(|`|Ifi<1_-e0
zKYe5IKSqkb-0BG5q=a~8!1Mn_JAi>LM(9>I>VM21>!`#LKKIlVJtejOK2oYS3}Mmj
z!0b8W|2i*6Q|5a92w$DHc45~4qFplVXquS~o{0U|c{v)y+EYjP#tRA_;Qklw{~ueG
zD=}RKgWVHeyifU063R~=wTNu#&ihA$zH(t7KYsM}J^rBKA9;TgX<;q#oC8<1{`9u=
zu8osZF*4$3Evzfv?c7GMXkSN1hu+nLwl-Bc<xpyKv*G0Qrzl2*kxn``tHW`R+tm=`
z1krwAA0t;4zic~sBIL{cC|R8Of>9I+aR3vEz}Z*1CO5t4g4BE|cny8DiEPNDa*sbk
zBhe|~l`2vWw#ad{3XNcb)6$b_2hfGOqs4hBi@nF9UHIq3r?wvNj0<byUIf<YW-x+x
zI!K1XA!S1ING}p|$HZQ#e*vnzpCm>Lm^Jew6;qrnnu&=s@=z2N+cTUWkdldatyzh2
zpEpCn9g1gVntO1fBQ*y0OQAud%h~TJI>>9r$XSQfP*K9CQutEs*-@j6niaB}T}i_5
z=v{=9h4RAhu@#Cqn#e>ICHr4I*wPUFlzGw<r!=B;xH~(siBq1+3_aYNAdf(&GK06r
zTu!Q>o3_n;X$L#L=tk0A-`3;jy+*79;l9()&R_DC2RBon?2N(^&V*#RS_do^OmLW3
z_Gfzb-E>JoW$kaTEKLS&_O^~7(U^LLwZ_f*Oa))e<+aub#s)`3u#e3q5s5y#ebg{^
zmDB@Pb_kn6)lCwugEl%=k0{`c%&6*<cUhl}mG1M4;_Z5(w(mS5H|du*UgI+IRWERR
zdF+)|ZS|fuxM^r(DxcSr>a#Yf)c>Bjx;9|Fl`$%&T1!S@Rl&qPSfjarXPBL3&gk%g
zz7k&PU~6z9>=@(Zu)bKcSNN!sck|EOm-SrkjUMZ>JI%C%mfOm#`A&mG+WdK5N9ITd
z82#lHVP1*(!K<>hb{FB~pLq#BEJ|BnCH1ywE@dAboHJ(E+fISK^c6SSB|{`W&b?VJ
zL6%*lypVNQ^N_<-Be!MFZ7A=2^Na$Q61HYN_hJIDuunHvDFcgz2#6kpY~COeN;^DI
zYua*}=S`?p@cQ|6{VYl1eimeL;-*B;{z6^z0et6+H17187;H36OqL>Dh8eOD|2d)$
z*_)GecueYR)w1}BATBofjM=Ap7iRhp6m+_w2sYBJXw%NB^BOyOe_|~}E>>)9VX3Ua
zO&5xM4Ewxm?7OD5#zi))_3fK%3S<nmn64nX$qc)bbEc?2<UZX9!39oACxz{NfXkY9
zHb@~L)Fmh_;KCZ^FJnrq8g0OOa*eX&5Q@ok&FXx8xVYK-VVlOh)*y{j+<e%OLi+t`
zsuc;t(@Z|-=HwH8b6^!v^7Unb$-uRyiDN8^l1%5$LxVOX)45K`!;m17^1-4$W9#g5
zF1HKq&w>2x8J}rHlje({_mO{vw>m2CkJ(<6->ztqO*iUV3#IKx7(D3_uPcrAPgJ+d
zjqP3ohitr5Sr)h$LK#F{YJVLU4OEXdrt&qiHrCMJ!_K`~4_D4{xolre?s%T|f`dNx
z!d68>u&a@6VJ~z6)J&Dg(F*N9q0Xff{Tu*-E1yeeifwPB9W>K+_;ivV5iykF!hqCW
zJx!a$A_Wl}Bh`4wQX?V0*Z7M_g{teo;p7g+msQR~s(7T9n0u+??HPMmfq3*|ifpqn
za5lO(L6P+N@wyg7RTShBm#0Pkc6UdTe~UITbujVOn)l$RM%4B|3L($F&wVi_hDOEF
z6uEh+-x;Gk?(ntck{&Tqc{){Naw5AfvQRi$eZQfT@}Stl(8UF;m%erIeMDR6TgeWV
znQ|(n797b`guP!zrM$-&9H@Qly2zy6KFCYk?TWzNAc}RcDbE_cMbM}VYKWQhIffTu
zofkGHFPAL2v=3sZD1}gVm(aZ)=-HXVfcgcid_8QZ32*b>j|>wGpDTPiKQ2}-w`TkG
za0BatGp^Qh0ZTdRw_FmrTR-Fp>sMngHByp+i)(<%{u9-P;ZzmEoqfz&@ETVT-`vG<
zRP(ay72)yy-Ct9=p6)XauRCM8F?o8QYr{!wq1b2VBe7?uVYS}nyAeFL(6{)|XtrAc
z-;ngUF&##H=uzVPH6dgxZ~CPvOf@uCGpN%1%KY!eRQ-w`?{Ass28aO^0P;8f#A>ed
zUFY)zR4k2;jiq$=8r#DKQ#D;hlPWdKYv~Kpwoz%SU--R}Y;N@7OmdHJwAv21duP<M
z+Y<~RtaoC>mVvP`T9JABK{LPz8`DKXBQi7ftLhE@5GJBPnhwxaC%1Y18Q6>Wa6KwP
zOW0UQOgVJ-6K`4RHmJx{P%knI@9R?yo{kg`j{N*g=(#$Vz>DNpP|85+b1-MMN{lGB
zRS&WNP{3tYRiL5x;Hlu9GqOxp)cqrFmuI?rERC6FXl+*tdCH~I)(W);iZZ<^i($)R
z8?)R*+$dTb!fH~-lJ6*|=t*9J?0m#||C(F{Du@}g%oa`i;eP1AT06A%06`hzi)5_^
z&8HinbQ=mTb%aXCR+_-0Syuh@P7QFGTv$@*Os95KlNNzc8fApB74xC$WvcAuD|-S_
zExTbXLEqs5N<Um_2UE0QjqH0_J`a3isGY=2-^sDyxy!u%8eHogyO{meh6eYL%?veV
z$#Z0_;Hb~AcdYGk8c3~#WS4n#CApdXy%O?ihw{OovNvrvfp(+($9d3X#el!>jjfxr
zQE6K5?yt#eYB$0(>e>65zjR)#7*&Y5;Z82y`Nre>O{#p@U93DpeERK~75#T|m!jJf
zDQ^{*tKy0q@rPNu*gVB;=2?Ko8rXY;g_~lqr(L@3c9=>dLC=O)>|kXwj1p?>LKZcG
z@O6zA1Y9+qYTdK#pol1-nhofXZbNJ@pN=y_bahtwkOadwkWFO!l_K|xYJ^2;#NL;6
zGpUuH43c}EcQLi=BJMs$o_Lv3;E}U7<XBH~tnere0fqh%H>!^$vO1Y3m;NSjmh&@!
z<Uz8a&!DX;J=gq1Ysj89VDuGGL%R2xmXXA3&Gbm7g<6)!%PS@$HFjF~j=A0!HZvzf
zk7G8?-pVGis9%|R!JK_7pD(`r_7{{Fe9~!wTAiD^s}{?Dg)(T^#-h;9CQ!|MJ?zE0
zmaz2-?qiod{$XY)z=JH9UmnNNV2Tp5X@8C%88u5^#C0-%0?@TRt<2wuoie^X?0n5$
zWKiAQD*CQ*3Oi7;^+Ro5QLR61e@glB^jcbli<koH;X}110MHBG!O~U}a_e!*x$}*|
zuWxZbcpo5wNXt<S7ocr1)<#<p!rhg3TUnk{iCu-n(B+>j#?H<b_Q2Hqev>4rRf~wK
zu04cQ6--=@M{?--ih|wsh8rcJ`)<PLvZkE{QTR>(XeGa?d=R}Q!cao(l&+X`R$nOy
z$y!WQ-s{$Xz9E8MXg92_K_nM-o^MUeE_NrWg!lw+w03@CQC5sy$Z)H7Vy%ol&rrI<
z9Jow$S1;>5=|@tr$~5_kz-KZ!E3PAMxp6ceN{G`+iDdg!PuM-)VP#~<=u+w={f!T6
zFS()loQ#zEN@u|u9~<0<j*J^_UktxGko#&%#;!L+dWofbT#PEodoqXG<}GwV*DNXR
ze3K6HXgNP4*IePq!WAwHIlS2NfvnRcn>U3#A4>N2*qEDj7<FH&pWHOVA_RN$pUAyU
z5RWY{sc=rNt7w0}la0F!|8Y=yu;t`b?XqvCw7p~+ba9;UnOr(=g1AT9PzW{V;@SZF
z|Jjk)upf!PiA8hPf8(*1dZx6`X>$s9Bh&Fux461Zwsp&O4m-S)l-0wvW+ED~-mKS{
zLIG?@h8W$IyJK(j+2UN|Y`xRAKs81qcOO7vl!VSI=sZLPT;l{iVsp2|iC#><A&Mx6
z;jhw|lxsuy%7qc-_P4L_y4Z``MyCy)<Ul3NdbXX&c_XR5JA<r@f!&C~`==P#vqv&z
zpA}O@nNz6?%F5J_3a^t4)OSIWY`%A2x!ks!chdM4;}50IoHqf0;rh3}pP$mLj`3`N
z=+xy?e*byI*YEX&j=PR+68*77UHWb5*CL(W!;?J^;)JzW8_2^JjKc%Aca{&f>zb8H
z4UOcGU=%3D8Zz^?k|}PK^<@nQKZ{F<iN9-^T+xHLQxz`Tk4raXYrDZtJOe483o-Vm
zz?hrwaP0Y>)%LhIsVwuJV+NN(w>-ow$^7tx9G2imkE9vcUt2@VbB8{B?b_bXRo;Lq
zFm+}dwRcuI)-V`1jmoA(M-w`4cwg}4s74&xmHNGhGrwtnw8joS?e{)Nwc4ky#6Km#
zgmd;o?^2^*?M|E=!}X03zl~?H_^*_rEqvz<|H7ZXllN};?Py(QwLo=tu(`v!Qxx%0
zNS$CSf0F;sPh4j#xV2h4#&5tRu)fgUtYBHGNLRAd_YS@RmDgzGpoI7fS?6<E!kpeZ
z)X2ad$lbK?jGZKPzuBWm$}qUO(}3J<hyNjlAYaDKw_3&~e|?{BT!@Vdo_Fu@hMXl0
znHphaR+DMVNoR0khKQmkyZON&Jerg=QMqDn1GV0$u1}8hSl+zNJ7f|kC_B`3o}ZE{
z9u+GTj9*Cf{Q$n&nKPfQM=c6K4vvBsc?exqcOUqSvKm+2gM5zAs<D_)tRv(PyhxVY
zMpJD+P1loB-BEGxqJD2{TO8PTKhaoa2c2F2Y|>j!13D9HI4c`3Gr#_P(meNh_vM^K
zCY7&J8|UkQGZplS;3y7MJ3rEWUSvv#HMwH#rzmK<04km~YPRuERr@N)hE0b_gDTT1
zn5M^m2Q((=XR7q&(zyB=2B!X)Y>_lci?O?Wf=}6=S~fHrOEMcl84^)fqlH0~$ot!4
zSIRWyTx|6Bg8C(h&NTvvimxDmKpRiaN#K`g<aH5*;kj+RY@hC1)X+nVo7l^4E>%uG
zqRovQ?@Ss3RvRh08D#@?9((upVt9;&orM?*AbDr-anYYKwO3vMhpR<E6hLeI=Nr8{
zwcqf4G4p;z_eg2DN>TgWo0Qvl^s>!+)E*xyM0>rQ_-4)Zf(0gRbo>-@z%a9?)7*oc
z^FpWqv0b`4TVPFiTV94Z+~B2cl(!jJ_?JPaOZ5O&I!!E0Z`2>IohI`?A|_H;B(UXp
zMulZ<4X^6kI?wE0CO#Rhske$PmYT&JYRcdlgNi@-kee!N#-vnwM@<|drmx4`Jae14
zjhBEkL9Mwwal!t3efngO+fpIrJy@sFGbpD2L~v%XMF8vAQ0lHr<Nh^`P+rEhbMG2G
zEBbM=1F4-pWFt6IVp5z?HA%z!ZUxSB0*O86VW_M+S*3+MOdhHLmfGTW`ujBzLj^9e
zv_~ulc)u-)uM(X(yxdpj^iNXKg0Lwjh|Z+l)rtF1A46;VfUXP3$wG2O35m1eEcxE0
zX0p)&*-~K%O*PUGLyn~lL*saYBNIp>78xXM>yQ%Ko$y1m`C-2SXq+cP4SOGyGW#?F
zgOh7480jROmh<jvK0}E+%m$0%8hQh7-`ouZ#bMABd)F4FRmLb;l{`U)EU=U3eVW_}
zd<lHU?q7%pZO?0WLYZWV()M|l<4-()FWRgOgTE9)cR)LTb}lmXiDp1wq!bV6A%GvK
zk?3#tl=<97l&NFxjkBPT>rS#2viD@WL03P!4>*M1xpM!xXQE<TbTw(@N&<WV^b9na
zWl;<|lk=SK)>BVbb(CV}^&!9jVC3Oz(@ze}vRO#RX8hoF-u5NtAh|uG_-@IH)7sp+
zNlMTJUAVf=_m^67v~_7V$0#N5@{6%k1F%MO&Lhph8A8P8E9XW{ShgLRm($ZWA3R=p
zr>weXzVUeTr}C;+k9*>dU49S)XU<9GZL&$*F=#S>(*jYS?t61Gvb`IBp?W?6H-Fji
zC#;r^?+IIPvOahJiFRJqvpLZ$M&Q|~mW5Nys%*UYo>ZaEs9MA3rl!$WknIq*nS5f_
z`OWA1KE%E1?OF7p>Z8jTQ?_{6aqodpW_5M#Z<)xK2DzLHr0K6O<T}#=3HsKjr8wp`
z%J?r$Pb=BFRy{bV$1X(3w)E}x>nkcuh9!iXa$S_3&E~x@Mair+aQt@ME*FA~&vJ5)
zt+}27Z}=cv+vF%kI=s?n7PgE&VgB0G{B-$t{A(X5Z9e1BD0g)fN4Bhjs#ulKhMQjO
z<*$(}<Y&=DYp3e;W;)6EXzxf33|AiE+kWb(&T0F?GrKl!vAfIP8Kv;Hu@$yRz`<>0
z&xvbz6QnERa#_>Mq=<}W){O$SChcUDB9%Fl@@|_iRuqi|Wd|}o(l6bj-wp=FkoyDl
zi@?p~gj$?vlrlljtTXD`7ALN8JgG3~NOa;GfAZF+?<`HS*pyZTX8*P@_@Q@hbG6+v
zGuBgQbp2-DB-#FKASv*@71?)ugo(J2zAe2?K2Adyf#qu=d`3bzMy0H&%B}kkAdOP(
zw=DeK4IAQU%DIXm--{2b<+w}(a77J}Li8ix-Z<nz$d$8yw5c$`^(g&1SWOc3kN)g2
z19RHby~M}J37r{TKju522#_)81&9C&0`&+Q54B_S;~zb2b5G8W;R#e1lr4>w=9k_h
zJI*er7qMx7lk<=f5f6mpb+>otBwx>EFqh=D!xA6c-ai~p@nk4x7El0Xwo8SaBHokL
ziPm*ZE<Ov}u=^}Ijlk*)Q_j<7pr^N^+5CnPZ;*ol5u^$^txoeyUB73dgCChI0$6i&
z+Pe}%okTy6{P3OvWJ%hym#wPvCX(>WNk^(R*`*LJbjtgz;wZi!r=-HaKIc{TkZcv=
zBkB(<W(=6(wft_TWH+-<9IY(tMiTESFEJ|L`f+6U9Se`-TalM5)G{t;tg;zYpJ^Uj
z4}yYM7ZVaAKbcX%dV>Rc0h8BcQ=DDdnhM+zE`hUunZVw6ie74$Tsux5NWQSc;oWh9
z<@8X-nZ;OXyZ9rWO<b~;T^dGTr>$ondme!LE{j_2dV=7^4oO5_3syPc#!BdQ%CjYy
zir5tQ5g&1LB3I1>mnUX<WJLb*3@$cC2gsG6AwwtZVGi@MVdi{a#@tSbUF}-=`UAT3
zu9;~6#dgJNsVTmDG<2pEa;3=EqD<<=_y}gZCI|6(DYGpU7G`CaKYG$92!J~ttcT#g
zKpD`0&Za(Tq>cLG_Fv<I*iKPOaBpdcQ?z|Pc4z5>m+&>a+?ooFH1fxS1m|OWqr-It
z8<!p@7?il$+vdV!T_8p0Ro;MuWUZ^4Wd`Ii)Oj#Vu*M$Nb_9BB^pJj>;)*})1n@R>
z#d0B3COz>Q&rkNPCu}7b+Rfq?isff=(0-vO=QBK<64smd8=AQ&oKxIspOH#;y#&wA
z3it^nrAfe>ct<xU+wV2ab1doC2F$4KMJ3Z-Qdg!9S6-c9L8z?4a++`K=HOTZkj>>e
z2YcUpIJ^yIL&C3-6>!NYv|Hqo%~jeTJ3`CFqa78RUO3^;+ZaTj2nv^=?^OSa(93Ym
zn0tGgkYMO406sI_(tjdR4LIMV(ZRsLW82X_{(?6#z+bms_b2ruvOAO6QunMyptp6d
zU`|Km@I(EvK4!G*+sAKjiH2Uca3y_;9E>zFPxP;d!7%4{=P}D)a%IPKinU<t@OD1T
z8j&&VRo{Tlstx9c8`A!JZSEL$mLavw7}M2s8K88GD1rWR_-(Ei3AIKha2)RfA$(mc
zwl(8%_9_<s3^6?EkhR$hfN~`x?4imA%JA^85OYO5LX#h@27L(2%OP|TrR|=9HAidS
zR$)f@PB<O2u(Z+Bk#S=RW55v9Ep9|}99C1d$K81eXP`6b9=Y6hC+Y3a^>y6g1n|xd
zm>TGD?Uw3~h_-B-WiDkz-aNPs9r$4ny}01Ys!&7!L!C=1v?i+F_WhYyoCnXA%FbA7
zmXd3<jNO4=2HRA%eOxL@?F)Eb-b7!vq!%fX!6Wt{gYA0UskS8Xhvi=<J9%48C$I~{
zj4OGFN0&pE>Ihm5Oh(PJEb*(bh-V?O3Y{FHybc$ZSH}BpfMnPOn~<o_pvJha(6KZ@
zW4SfA{kp)^ao+$axFnzu$tZ!hP9&n^V$WEtuJ<^eyq6(dNc)-UN8-AS;|Vg>h{CAz
z?dTboadb^;5$-hGW?cBJ%w2sRL(z=WUpvEqX{@ngs(4-0$5>J8>c2R?J0pSeErzQS
zPl?Q?3NKf&@xqbfL1k>a!FM=QF*XCTg0i#L@KX2B$ivR(N+lcj9LXD;a|bP<2v5_I
z3#O=p$Fs_A6wz(hnfZFcpyx_7bHjY94CYI+-bIFbj*$W4%Shj~+Z8?|mx$Kh$jYWc
zfZ}?WNyC2Q@aibCuvw3!^OYs(rC8`ji{Usj;&A6kzv>&^q^)QY62~n2ZYdBuVm&#&
z%=LiifE0zB+m9$%O#a;}H>z`Fa*<1P_#+;_V`Tt6kG$CWuv?vyaQHLfIdhI9K(+PC
zM1JoaHsAFsySB>{_e!Vxk1E}BO_1$6r*-{wO?5xOH*KyR2_E-vim;mLY|Tk+NcYQd
zUN?LA$yT6GDDe?P>y?V!8u7IoaowPtzK2;n0;igFAL$zCzREnc^02x_0b+8NU#+NH
zu3se$-}&mp9-{@&Ih;e8IqAZ5Hat2$EB*AyFdyu75q9_o(M2`B82`d`bxCM?wa3w}
zPd1SFxG~~dG%NA`eDe2Onj$&ROxxrX0jh8FNJSPElSMecpT{Uy5zFWUp-_^L8ZQj!
z8~m;)Y~L5NnHgrpe3sDMF2V4sx|5?{w^<0gX?BxRzHwVdK(@QV{L%QUud2ciIzRMb
zg-92amrudQDc4&)&07pP0dgzh!7+C)u+9<>ROY;6d%iQ$k~;3p_oH{Cz!rX*LT(Wh
z>=NgAvLhiduQ%}O!X%K=3=WJvvnHA=bnnfsy5-K7oAhxBgp}s9-U1-`$A-|gUMa+I
zm$OC1A*#<_qp89*!fR4Gh#y2eHAxTX+&ISp$C&kzPciW444u~yG-pr1j|cWEq$7y&
zCQHo_y{E||o?@$U^ttt3k&4~}ys?)Licpsw&Nhy2>q(#3GdiH-vMazbYmk|Pv7%P6
z2ceWNju2_;Pn!*J|HNIh;PDbGWzvtEQ=?tx)>8ckV$eP83)5~B$RZ15d~W~S0z__o
zhL?*HTakCL_a37vWfwsk*nju2iN??!s4LuRj!4uWCpwOzI7YivAgaQ&iOsX4Bh6Dy
z?$vQ2u&evAsV7{*aK>!=mgH|I9~~emwKy|x(pV1sfGH10ElEvNVw5nhpG715ekgU-
zHn#~wu-m7F1j=@reEDs&{M@+x%BJ=jhtWg#rr2D-II#~YU844uOHHC^QcWE0=0O?J
z${+ZTZ6Di_rPS;SOz3Ym!tar6k`>qbX)Ls9<<mg%L<7}V-#K4LN-pBkbW4Q}7Cj3D
z@277K6M2AAi57_}JDC}c8Gdj7%3zIuhRXS#M@!?&m=jHe2JR=@0dzyyN_2~K*GC0^
zew6h<GdsGt4EPsFn{BzQf!>2&fwDk#L5;KV3eWL(R{&mbP(Tm;37yZ(9-(BD(CbWG
z)a(9TuZ6Q$O3SW^borYbXt*+;AifWdKDVkM^nz6;2HLh!)+{fa!CD#={#L#iQ7bs-
z=Qg81RQ@K7)c`(9`8)#KNYxdH4#{aIngH_crf<?met<0}eb)99X|;PgO#9@B{40h>
zkTvkV_`C^A+Zp~5zppsFOG=BJYpgVR-sD+HbKu#KXvZ3HaV~W$fp_2_N&bPKTt{#4
z`v{nYfsjVB6-GEwQ}Z#bu2=0ZFH|p?ey;+4EO51|H6_H{pWxLs`_1(76SM0t>F<5r
z?;Pz{j($b>YFZ^%4?b4Twsky~o4Asxn#MKa{$|RwBCi>V^vDinYgjMZZe;-qWYvnc
zCPx2gvVxL~I7z)18?}dGrY08wD#5)M1aH*;NZ7D_)&#zvkGfV}3_%@s#(R;++8A9?
zm<7i;X|mfft^u~_rUZN;rM$ZHB@PgjB-r$QA}3ffF^V=|)RH{9$oCf(tv9KF4@K&i
zWcZ4DSdI}3l|?NA7PnYRqZ^Du5Aeb8vJePvYoa8tnzlN1(2#>DFW@!$UWIumSb6yV
z()B*k-u$$+cw(S2z+&TzkWLcrJXwgug(H4FaS#{X6E8bh*W<X@h-*BSzoFNn%e92=
z&@daY6+lspzGe|$u!LDPi#t#^CALD(1QAay29%vvp8471`pv?_{B21g$u;7hST@qt
zo>)aJ4OPD)aV_SzOcBp`q+jcbaCZG|L*Vvh0O78O$*RbBNb_H3md^2l4>&U1Ns^@J
ziF%ucRb!QulA)JV5d@`ebvq6?k;HUkob8bye{cAJ{;OAg5Bnp_sWSc2uVtsJFFHZN
z)n?bLvsxTm+lQ~DX&Qwi9f?@RC@pvla7hFvJ?IRyd(M0_MX)4!E$By{taLx<Gple(
z77AR0J*5%O7)a1lNUsjm8{%VSS55FeNG{AIbL2+XPopselO`q!^*HvtA;<d@gaEfW
zOXazjKHv(qslgG#Q-x_Ju11epX@1r3T<^=6FA>{)_H>H)jXyYkbE?yVA;qhd9QF5|
z)iAM}qFqYx7kNfr*tde8wQupqnyZwA1nz^KqP>Y%%j5Ku#c<V9Ga*W!@=5E3lj6xx
z#j~sUVE?hS8VQ)i(nsU>+Z|>WP8tV^E$ZCTcP#hAnZcz}qEbl-^FkIE43&mSc>`E<
zUq>nF<q}3}IavFz&5-hI!=iqNq|k3W!=mG!^T2VYeB!4RuzGA4yHU*iS?=Aupo9L8
zhhNU;T#z^6#qqex59O_DJ!lQa0J)Ku$gw;JlQ(7(NH4Be^j|pFvj)DsYab-4f$&6A
zURNN`PD+`c^E@47d~?((!etF$UoGHnp`80sCTLKuJ?Px-N|S(J-O>X)OodjYcP}&~
z6<s!Ra-b;6M{L75q;_fZ)6M=VM^XMXbhz(p8Q1ksj*{DbO@$TPmP%tqE<ST2KE$X(
z(zBFPpvjlZ<rXSqgfkXjdI|$pA+1w6?vD^2j}h>-Vju2va+XQ%)R`Xi-<SIvmjIK8
z%2BiTRR8c<WQzx%&3$`z=K-B%zWDT_^dWhjEZtn)N=If84AdKGH^bg=v}J<>AUg%c
z%=<DKAOw})Eqye7cOwd1c05rt(M2_m`NvgAZK7%jYsQgfz0dYKw?aI-S-bK4;TYmz
z%%Je?Prc1OzX>@`p*|{_Ms9w7z|Cw7;1nxi5(YKw2jqOatAS+FJ^W?DIxUvtfi&>$
zire)Jq!oT3&6dP50oCcn*lE+ehqk+e0m$MFsS1d7*lxBmYtE1wqO=<$i@yV~3mwqq
zdv)k{Ja+3Qa&9*t&8B$wn@EL9DGyV07N_*tMkTRfV$K2KyFbs$fmvUV1fujw_1*Mn
zwWoGf40l#J)grCOudu!tKDi8Zb8VRE%5#NgpGlg1nMP#9-oI0GyJl<@5=cb5`ZFmd
zM}3|p1n(8FjciuVhwNGVgP7HmL!@VBzNBoECo73Y2+4DCKxppw*_Se*aNE<1z#3=E
zsjqs(Lh;7DA$L@E8712Tm9?B?Gfe3?JI)~0mvWY5rsAw{Q8mNolV4K~wto`vNHsTP
zdQ&B{$z^#2)dz6O9Z$t<6-;M-a$IxrHV$1o3~<yZ!OSg6EXcgUpZ)PB%dhJCmN@%@
zlB0MDClc*&XZ0ZCfSvhb$S~#eo#d5}<mpCAGj)K8Y-x$X9|Zh(%R+gB(+t+KL^O~O
zTdRXZ>-NSjFv{-bHZ=jM^D$CL+DtYEGFXlH6ll$Lhzup8pW`BCvL%9cAcvHZW=OTw
z#B7!9&R!{Zu%SX7{1f<Ufw;uHOM%PM{RR92b01~3I;3^D+R;@+?c;2v7<61>-el&F
zbIhnK!xC+3#37J1@Q;$9oSp%c8+kiCDh9!9AHxoE0gZ!<K-N`&MW#~#op6Q*P*LE{
zDv!E2GNwR^AJxs@(6>YYJh09!@Uja}X0CDs6}H>@=-$^gw*mt9n$3%@iJpP(J-n}b
znm>*GFY2wcVdD=80F1G^5eCQ!yc**JFg#?}W?nVUWwVv6oJqa0rtvJg{loatzV0Oc
zdHWf-s{$KCHWfrMcC}cH1HVpd(Y!Fom?TC^gN{K`($a1Ls!VEX`Km>tc>D0L5m_I7
z8zU$wkMb26&WCoAM@ES0Aw_FU1Lq3uFlLZcC3ulO``Xq7yE;}s1bJ-wwgv8DtVrNE
zA=Pjn<`!xJf3T0LEZ`2#Rlhp>h6Q$~Y+}dq6$bFh8M<~p*g)PxjJ;=ykYe(2P(3&2
zl{a;;)+hr-K(B7#TWL)P4LYGRKVqfVP9eW91>0KU@7{s88`s?S5N?25E=vlxmQyeu
zeC`EKn>Tm9o!7w3%{&P1pMMDm_OwKJ9Bz1LVA>75M^c^1#mb9ynXj5J^qWM#z`ntB
zCMaGgC0k!gow7z&8F=i+B4+nHb1>~Ja8OFwiu9yh&^4b@ht7||lPML$dmpIy0qvgi
z2(w8%B@QPMLh25yfP9|}a22at?pZo@YmIS!+SYz;60=6h)ujonE{Q>=BDZ-!&1%;4
zYV^`#UNuOMXhh&ZTrdxm<pd=Z>##?xpZrKfiEmYiRvpO+RSGCq*%GSRilEgW8>eez
z%LbytwH-Of{73a90?^6T;Xe4dE{EBO<9MActQl1OCW=ojyJn}jx+;?0Uq|m?u|`Xh
zejw`&KnUnj3(}o&CfzBO^$?UvlL4|ZkC8Ml|H$Yrjw$g9y7DD$JvFnUd6~5}35@Rk
z5L3>K&O21Z&lxu9&K+>x?B_@bfYb&yqEU3x>0KS_Q$z>FaV@XC_aW_~NFIFaL$16O
zEsv|sO43rkMTOMbi>xD9(yYiEm-F_(nibe0_2G%&q5f+bb1d=RhL;w<9cdxmu|uK9
zgL9}T(uB(z`bVN7MSlA8d4Qd25xy9c#1|xrc2yWb$8xn^@QU4!*$LYhG-Q_+OOX0$
z&a)N9zVppQ53gY@8*4FZomIPrHb&QEi9{u+CNI2G2KcmH4Q-4{5>X0`12XdK1;+xR
zA6Ax{KUcgN4P;V=eq$QF*oBN~H^S@`Y}w5Q7{8t}t(%!t`2hN6E@Cc_FOT9F(wG0z
z;WyG?Yz;A<h?xtzau!(FglLp57*WpWKo2t}o8%CoBeQ-3o_mE8BYL}=gXg&k9|`r8
z%0@yt#>Vx4Gd1+;$b2E`-7Fd99_+Hq&aMxke3^^#C{XsNQNkZL<q!?*V=5$Nc_=_z
zC=_o^=-qYRe-ByNG=!GmY(mQCTkc(4J1)DF<%cr3O7J3~>TqA~8(ZAz`z=4IephFY
z)(jGGDlGl=ni&NFbly9+$rWQ0K^6n3l)~k-x%48+0~5PwUS-jZej*=GwlxxO%l<LT
zhQZN(Jd~nOb6W3ePkJPvlktrW7=1R<MW9ei*mg|4+W6dtMTk^$Okw1`@Mw<vE6!b{
zx*KfTRLx9f7NHqxH-g&DS3kV@V(;!%$H6NBQ04SmY;ELdWy7Rjick8(2TC#D0mrUJ
zpA<B;?WgFf%NB#1tzebLkAfeB&a;+OE3{gV^SEyqTfHa89jOP;!L8;zt#;ax$<v%6
zL~ZU;ym$M1V^cc~sGuwHCB>1vChA`EWVi%pjzdBc2YSujDp;2+jGtZPr8I=Vf=pFP
z!K~?oYsvQ*ayQvCO59VRk)4!W6?q19kZXlg>`St=K#A$wlcVP3pJS$1BxqtQr5^J@
zU}w_39qfs)J}7YA>fo1WgkM2$!E5WUKgbc@#%rWOKaQ<*_L!xf+JsQ*?58RZf4BMt
z$<?H#cXUxE$9IfRO@`I&jDP;TcHoA5#$HdJuOV6Vcbh<0*+PSDe=4mWI4Ux^KGI&}
zQ_XcGt|;jUkN7^Gt_wU1mlG+kGRq+vBRHs=X2#0d#&DDlY;5yIros@-@A$lY(BUXi
zMPY5lWSelV?ffZIlFCJ>4&j=*g0b+bcayQDVm@-SB#?O);uzC@76GJWY<!nSJX(q3
zsu7eRo$M$X<!n|>ma_b^&Jswvu_X?B246FRMe}mx7n8)w9RCR4sy1Rr%+ttWAqe?p
zCTtPW%m(R#Y(RR~r4WY6T8RZ%Ig#K%Tx2?{YLJY`WeL-6Ek*bz=lQxt;yW5gbX<Im
zsxF-_tM<B}q3}3DJLA?!dow7WsFfx#Fy@(D?uwYeGtif8f4hFOR`7&M-VNg~yx}MB
zBr@>oye*hzl*%W?4~_%_ot%#EINMp_y7mYz^K9e!g0)Gemi}VH@u2+yb^<ZP1=+V3
zUMHzn=;kV-UC&MuUE7GRXtzkm^A11I!_%9r<hU(I?<u3oX0MI%v+t`u6<3YNXj0pg
zbX9a(Haa4<`*F#h0>^l<2(9@tvZd9Y+f`HlfDtR-Gv0zH%~hz2`k@r~c=BH`ds`U(
zvV^NmdpyT$xa5y$J3E0ik5c`OIKJCyZMw~5iOMGxXDEPaHkZXY5w?$1TZ`s?x9gqe
zT(g^4AymjJPn(ZI{MZ!=`(|~8@9~OKlJPf!LqZ%$1;N)DL%zH{bdSfGdL(dcbqodX
zOvuH0%&)B6ZZC1q@EN%IewU!ksnNEAv0isHp^fMzQr+PGeetzh1!1)hAp9Rx$BIn3
zDo~T{9WR25=cG?4D?Y={Hg+a}>9;Nit7OT>c~t=*Cf~uzyK|fE<a``Iu2H+@8RjzX
z4z}#c$cwQbLYD})_b@i=x4-y(s}8O}jhoy1S$i9x<<X;_EAyMZfs_7Cmyr{($5-Y(
z+XGp-G>*f19l>0q0X|o0`bCs!+@*0$+QViBT20~pE@vI2q3Hp^N6aD_?D1!1dUusU
z!y#A*xs}BAHwT>cG64giKw|aV&*@*%-{J28H*04=nrHVSJ+iP%>0UJy++2@(&)nCK
zjwJSzrJz|gW?oX+IYM`l*L<QMD*JSJ9CLL{cFeWcqlXQk!I7=N6Bg4;kKsMXXKHQm
z@0j!D^-h5*jZ=!nY{TjDL;Q+;@m6ET!ayILr_2jA0<Yi@_JV@fQ<2`>FKqWNOPs?N
z@83``J_YI%EN46CoQw#Xukys~hFx2^8(n!a<I$Day}Ef)N7%7`fOeFYyaIOk9E=OO
z*ZA6z()WS(#V!ikVZyV!@>bl#O1p5<1s{>EUM*nCR#`2bbN|&y7_b%R8OtL`McId@
z$Y(~&n6lEZeO$<zW-QqfYeVxYRMq#J7Gqw(c#gK^tY^tm0>C5TsyOr{iSxX=>KYp?
zP%)mV$hc%i_loQ#i$20YnnT8;0$%Kc@T6-=j#o)m7Da>3VQWPG?Xw1#l;hTnvkjF6
zP?e)KLLchO(ck3f(9Ji#G7_YsPEC8R-OD-8h*TRZ@zv`Y`cQ*9>tTFz(zA9s{mNs#
z5?CBh$ZlJ#!50k1*&dXU>~KG1XQ(a`?%((l&mtCfhB2fw`Eb@M2Lib5e;k%m`?#ey
z=gd4uquN^2&g5$7A&xe7FhZk18-963Mj*116R@M2k9xNCN`1ZddQHNcz_$;7xxPID
zuKe^*ZhHM>1pA<tJhp+|CF<K@{OZ1=S>RU;l^xN2<m2Ap{myfU>IVnOvAByz&Miye
zfXBr?NF1-lK+tB!6gQ=^x~-I^k!H+GqZ!DC#`y>L(3FN$z9y{9Qd2|sQYS+9-D&Vq
z_F}9=?VxMjjvN7P&UKUJk62X0^iXiaJd$*z5k2zHw>k1iGzSsYf#JNZ19RQ&??G}$
zZ#qwq?{yKmbg!u^eUK!OcbV>K7X~BQXciLNE#}Llx0)8MccKMfrDcz$4y$MR<&-*w
z9f-o-IS>x+E_{?fGAazKze;O!w`X5^ubbrY=J~FAk>uX>4etp((;mifp^ZozTO9tE
zb7BOYp<+@*!@)(}S229c!2CV_^&aPkp($v^&=-e=p_Iai><8X$)=EtDqihAb6lQTk
zdwYt(oF%6#u%+5_$#?9sF+Smbu@HZZxB#n%wtrB+HMXCT>2{Ed$<yiY28;)HmBxM?
z+YY*Zvzd0dZ=!xP_dIO`Sn}@02v)(R-pR)~8RYZ9f&;1SqR)_e7|YBLfE|3=P5)~*
zw>Rz>yb^uB`!Nc9Zf-<li+A?R?q0hPL@GMM9!-4UF~QqKwrtFjbiq_wEGFMu=*;lA
z^==R`qy_ytNr?*3wpcsuPd3@1at0hY$=~bxFmNKx4}AeV3Y;m2WmrLXtHT}Rpp6Iq
zO`p=PfQTcV37AKX)2^q56Ij9*0B#HwQnwArFz3L)dp-j<N<50W*DiQ(eM%xEv7j_v
zsXvcJx&;4JnA+<z$ddo55me-{%;WTJ(Zo2CeMF3Pp!t{eER|Bw9MFOtMTI<~F4j@5
zS_2G&;ECCKD;Fdhu;8=aXgkaK!3Dg2lbBA=AY|kYMKz8Kaq2>G#y%kh?%g@nzyv<+
zVrknQ3eOLwvI<CDdQjWg6+KOb;S^Zq4i_C&@gCO^LQ2xcDC+Q9bsVJQ{f?sY#>m;M
zy?0f~(fjT8Ypu24w6-mb=N%_9{z`xsDR&aIl;@)GQ)zpuZGq{bll=om&`aa#hAGvZ
zrI3OtYy#Saaeto@vi1_ZL)M24fBc@gfM(kA-HT~89Zr$%tloKs10Q@kUxQ^$5=%mG
zu*hl9{A5GQ4wSbm63!shD2%+Zr`EWf_VQe3+Z8lIkzn`nN}(~gm*|CA(zwh&{s1sR
z*4MkH%zwNiTO_+h`JazE<vwb&NNiVq=pEPn4t_xgtLvllMyJii&Q;*2wQkm&w{>_J
z6$AyXfF6RZr}igzPE2d2gK+9}i84UP5Z%fJ$i420td^8U*O8k!iJDrb24J8m&{5^>
z+o76;_T$JH-J(4m1A&quY|*fg>QgP07pSLQph6MAB|v{}6v+Znw-49V#Y`*|a)gn9
zfu;4X!AW;G)z$5)8r3<j;?s*%PhVS19=`Gp2bxF>uV*dX1)-mGfR>54=YfPvmmy=Y
zx7iPJMx8<hlD1RyEnbpEW@75K^ZJN-X=2UTJ7e$8Aun@z>u8&-ST9;CIGn+=R7YWu
zmpbX_BcB#3;S+aJ`nCnu6qOjWM65s>>-CybwzsE5`|l`-ums}DK_!~d!)Sbr@{E&r
ziHx7Fw)8gIwWq-t;xxWB|ME~XTAVGF^(FJh3mirK`SL0JYG=uM2ROvTk5;axD6q`R
z9w)ex4V}FLQU^YXPN6(tz8jHq$ZMCdleUq=0{pTLI#H#OZzR!on0ssA$bb=MGDbr3
zw)X5lb%(d8Onv2LngzgDg#B==sWEyS>wMqvX`2#5h0y^Nw*Agi&sU41r0#0MpNVk~
z>6>*rk_81ajD|XEH;TARx6E{yOG$B4Fnkui4m;&>m6x`&9saRGJUFh$gRoIkZ~KV$
zFer{EJhS#IZm$U5IR4lKy2b@P%L+NZ244|J*Y7J1SQDLs{BbtU+*s`vvIILJ#DeVQ
z&i&$9z|9f_u?xG6!OIf3k1Y_48ul2@xgWf~VRrDQcSgo#?0T6w4SUvNdFVQC@HSD1
zm=JL&{DaGw+R?jzTtjvaA*fkcHtF9f6-XGo&^A>=aZ!WaRUVuY{W)HnIiMd*Z=-k@
zjjn{n20$-p6UH4+TVPSgSi+_f!@UOns&ke*_^e<uMwPqMflV>qzqtj6sqtnS)>aRu
zeT3TUZ@Rz1eLVjs#BAw^<^7u4-#~twKX?E-<~l#3*+3tzx4Hn|+N3Y1XR}?`Dbuag
z5!MYjo_G~l@9}B`@W#M7R~>L&OUCRvKN4>QS_Qd=e2%BvszC?C*9$-mD61WvIh}8#
zi0et<$i%nR>D)klCRWgMs@QZk=*{xT#|y^<5|nvB>Yv>itPc&%_jH6~bheM|jdx}J
z%R$d=97ry9dWy7PmL#SJD3+R&Iy$WU3~|Rb$Wq;MT4-e+p;()>^jZOSg^@`?Nn2~N
z`dtf^y}-bVg}<31NvlWR-O0?J1tY$r{HG^8x_BaNI=W;vBgD5U7s8OcHhGf(AVX$|
z{WDh-pUX<AcNw?NM*5JWsIs!6kRLKHXkNb{T@YkvTC7<v@MyNj`1p1lv-f2QR>1N3
zgdU_z_?dV@J4@OgNtM^ugtPsx@aG5W%!}%vZGh8}XxTuSUbopws2$O7PxeikgQo_;
zEH14)n=n@iP~5$5S%O$PmBuELympgK^Je_8&<L^Jgi7S>|9UqdSc8j|o-B57-#q-n
zow^C1@vnt<)gS7=!fl`P3th69x=0F0&~gm2(Y4t=W^T7~&pz<ZU!7@de!`yjUujtF
zIb6>@5-lz9@tx<OViy$Dg~LBw8$zi!UG$`Su4c|y<z!9Xo|ShN!!-((I+M!;eb`PE
z%xCyUTx;44T6}7<H|xLgq%5A`X>Nr)OWiIT#2o7Ig8fHL#V*i}<QLjfD-;^-1QfH3
zK{9X==X<WhPAX$Y7S2lGw{LVW9k`wDMou&}1fScB?N1;Wz&-~?;>yNbo(DosiRt2B
zvf#@orO96?*Y9yT;x-I5V3wg}vPLHq2JmUqp=0NIkgk?Z7Vm4+3O4qHp*&>4r-u){
zk8~#{2cH&VwuQdZetBa^X6;_n{+?P*NvUiS8Z!E5x8nY8F%Rzsp~V%S#50nWg9q=r
zQ<*wlMI#WDWEyYv%6sl3Hz8YdsI=Y^?Z%3Nj{oR|C4$;V%1hIalNFGRM&DrD{5Ubg
zF?hy@krN|$5JZ|#Iqvn31)=v>1gNxd=bc{yyDN+Vqyo|e0L2D$+{A_+YFu0Z$wji+
z6=@ZG*LOf=U1KZlezl+6_3=Ar*jO;ItEp*MlZoF8|8QLW_0zVjZbhk<NPU8js+N~@
z&TJhs_r37mn(#_y0H`ezz{rJ_v^A-XKwuH)MyDfU%9!6XmoPt;+6dwvdX^Rj<c+=!
zD)ob@m0qcR8*A<)=(g1Uo=W>MMa@v*le~B2C?=RSBntq&Urpb|qPa1{SB!4%*34IL
zzuSCS#4jtgbDW_$hG7|thVPCaGCv-(wK$~h^3rAvY83@T*1NBds{?|yGi(+QOT&1U
zQKzXpw8JTu?d|Pg2lGJTLJA#3{pLzr-_@Lf4KnU1#D_8G6^}Q{aryh24HvKXUj&&?
zaX)y;!w6<}b+*PBrFP8`!n+&MY}@d!LNWTCNtmH{&c)H;W|!q6x#nRzl=V@NnarIE
zj#G)mwo6jcX_rx+j0&VhmRi;CQGpD4l!g54W+qHaF=<`Gw#$@HhpjIkze>0h;4O2f
zOXcGQwu_lu36p9!v=a(8I-h%~Cdct_B-3fOk4R9~^Z63wxfB4p<T*5^W!vvvRZjD|
z1;l<YH;ie%Mf0E$v0H?jl`KA!i~{@DX}Jfn7mv0U2R%@3tWL%lkzHZ->rmyE0-}Y}
zuGIoopmg@9RT*jy=~LuIij9z2241b;Pjfz>TlzFE1htxG_c?@Xbio}}Eo5C%xBp?*
zohqy`Ze-K7Tff<-5Vg@&yEF`4AO(|=P#$WDk0_U2NFbw_+8E{iPC-3q)#`q!QB)<0
z#n}b+<L%)~Rj1f==aIXGed=BaE~4p*!8|fy1AWzLv`xq0PEFpv;2rIk#X&@|CP!id
zzS;odbQHT%N6780x;8QBNS0nZ+L-Qme4Qc#x7#UAwId67ZR?!_S{@;eh2+F&30O-F
z7%}Dy`YJR(cn&jkl~%A3<UU2iTa`{U`c_QWdE`&*l_{!(EKclWO)%FQ6&}w!DxG&x
zo8Qn^mUTc{MMduYHjwiHWM8*f(pvWrfq}FF<*T-S3$$>#it@DILDGJ{?2^pV#h#_-
z@}(C&hX6=GGoFN(2440bV@nbWO|}AJE1|XX53G~NC`;B#=qJW6#~ZO8O!LPAR}S#5
zMwgth3nUM7Ol^=IJf<Cl29+3XUr``oFQ>TOZ?f3$6B-klG8RJ)M2{7#Ww7F7j;j0O
zn`UIuo6ZXx2lW!X9V_>6j&VqC*%G%zQf+L0X1m9I%!ZOriPET<c#^V9ff(03tOGk;
zn0F%qZe-5=9*@+mx`c4BSJ;MPJZ`Su+^x(q@J1_=>d5?u-_>tiUbQjMnCI+*hxlt>
z0Rg%#O1t)=AJJw*sR_0jr=UJ;-O&$%xEZ~#JM22f)?q4?#j7zDDmG6NqK$P5_eKaw
zg*657)Ym3TOHB{R@XcZW3@Ap6Tv|ON+qC2{{;|%y=&&{3r?v0qy|Q^ZRB!>us7E<J
z{K#>;9sUXp@qMvj?$mj8v?vej@St8ERFk1NzgCgbdp6K$ssy&zfhckGcs=Ytf%u^|
z<_z;sx+z|+009+<)7lAN_<!aZrB)99NX=qVtw=6A(_u`g#6#SB9JI%h%UoY{<zOWm
z5~&u*<%(X*-_8)hBFwFSKMNqT<qq>v+_&(@xl{iZ{m#kE8pd?17F>S&8OnkwC3NF_
zs8s2&piTU<VoqHlvp<TB-_CH{(qX<Knf_luu;1a{HVr_&=S&<4xTq-Lq0^wgpCUOW
zh^tot|5Ic=8|4{@!CNUO2PySm?Q-oL;UYUK`3xueC>?Tx8<sX~&CM}*De+$O9Y+*m
z#h7{{OS!);szf;yt*in?#-d0;!}V?)p$Yf|^005y;s`0Bskio{ak`6=vNa@b=_bay
z2OVI22$u;R8+#N~iJd5F?*6+B#MBrJER+1ZaX^>P068t{P^pA4ZoldTnxA-t(W=!e
z2!uC{Z=$TD9(0cYd!Kx92x__)It+7EavGV%ZB#Z~;(cE*ae8XF@*ZxbFkpYBj%9zB
zJ=(?nX8@$P3*|*KBza4JK-FQEbemHWGT`ngl7oLp<53t54-_|(A;Z-xhdihm$Xq6k
zkifV<dg^}<r1>4DaEpnXks;(WHlfu_%ThV}NL3Tl{cj=Vrst2m1D4v7+y5BMejkER
z?!gdpVeO5!1n249#I4dB-){8G{p-;Hql&+ryAtfL{@VcsEpGt=r_nLO%>R1UfSzO+
z_3;GriL9A_&Hc}`jo2^0nq>3Km_Lq@e<%On9$T0}M>{USF@2AJqxL@zZYWRwbp*j(
z6dUwEvHa^X0^b3^BdvaTSmB3%8;}1uQeyP(uQLb=hNJ%<d+*`TX8ZP!x2i?8_G-<d
zv{h8q9%+lxVRRX_DXJp2m{C-1I&Rc%wW_TViUbj{saceSh?Np6i5<lFU7qK;KhJaD
zpWdI}Kk)4<ufB5Sik#y(kN0_u^LStK|EWdK2w?GRH`L#^`pbg;OWy&5;Oqej!9BO;
zwExtiY6H+>uHD3Wx&O#Qz!iS~hNKPfZ*ry<Z4>CZ_AzuUCwZU}>t3@_YdDZ|`~G_^
zc<`T5=>I$Lf4!f0AXZ9z;Q2b)$Hzyev2=Ctx|Z#uNAoizmw^VEUVt?K6%`dV*u~yE
zMC{FIef_V$``sHOu5ej-E^c>zety(0odyMp=2ygca)I)Cf@?wc5P7uPhr{>wL}i}Y
zb|e$KKfG@HDQzax!`~$*aK>|Sq;kRC)p9I_REf1&unF5;r>qSaQ+w1GiXb!!f!eMU
zAVLQU?ny<PiiPJ0sky8FaRMzE5fuh^7DLzi^igyw218$mhY>ivSQ=ciylz0rl~{k|
zsP}CsF;T@IsINao;eH(k6b3?}1V6KbI)A@tHsRCHf1!hE{{K~PT2||>>N!zw@<MZ^
zW~|InpO!<bb!qn@_+d|qE1t=Cd*^c<Z7dj-ySwP(!Ceemd(ZB75V}Lf%hv_8kEg!+
zkDbMRJ?QMts86pSXuB`D=AfV~+egMf3YZvY)gr#Si3rvjnUbo!^2W4xJ4Dg_fOg_G
za1;VaR!zlHhFx-n86EKkqrL-%O+&nk99dfXK&)N;SJ}!YP^>Qm1_3kxO>vK9B4hhj
z>XustBkc@L_NL{-)IK_qUg?XR%He!<P>aq!U6cDaCHm{7Wp;fkZ!AkyGH5S=mJB3u
z2wSAw@!f+{7^U~H7si=HLrUosC`Kcu&2-5IsLyY@U@H?6w(=(Tgv<-jYI?6PP#hf`
z&D*X^I4Ec*=<!?sv<BoXBNLjkTxh%dG{FD+*)-n+AI9VbZwqK=lAX!&xocrcY_ojr
z(sdfyBP`gwFQiQv>WdtQ(LHl_QPjHN04Z6o4D!e^$3ket=AY>N8$B%zWdYv=qQOrW
zm}Pv5dFp^FZ<H}?<qcsv%~reOkKG9OYs)`$*!>Pj8pK9MG9o^ME8!`agPumG)NSy?
z=JL~yHDLL8dO`a;rDvb>Hkyi~Tv%g!!}eAquZ943{Wml>5+=GnrL;eP5=bNCRlt7B
zuaZL^$Hcao%5tY}J$Cw*(!FuV=x^xq*UMrfJ6NH*ffz!ZRt~JDQk6^LZw1_P?aM@q
z3q|3<3&qG|XVUEM@YGGd5Ip8(p&kJbjcUmOZT))Fq|B8w+!%3nQJ-9N36Wb$2e*F+
zu{7a;O$RTx@G~uE$oFHDe-2|dJ7nNOCL_lq-`<)1|Lx1|5=n$%r056K{MW)`lS9>_
ze@M(f+HzBZ<K}G`ic?xPB&7JL0Hp%Q^Wk&vhqPRo>ve4vI7g~^J57(^O(SL((%%7W
z4w^oyX+6m^Wtgfe)t$|3(fUHN<S(c!dvMZ);7c#V{u4sm#dG0aiz}FJi1>5ZvXmHW
ztv_(-odoKzJvQH~_CnC>L)UZ>U#k!Wr5A91f-zO5OyxRYDMpQ$y5^~yfy}KdF~d?k
z`2GmlJRg?khe?-Xn@!bkBZtKm!a8Z)2x~tBAqMIAs~S1|7-LhJkE7jECcEmPLFM0D
z$G%IMgl3A)jZ34H?(I2qeuiahqb+nDT?#oq*LCNvQH%R8EECOHKH7@PH2fO>%DCoU
zBawJFB(DijlJL*$3XO#+wd|TpSE0RHv=a>Q&^Yogt5})YX;L%M%M<gQ$mJPZvckL$
z&PtY@`*r3A*B|-C?ouObr;UST5`{B`H@5-!V~_9~EZe*za~qw{iF{9axEEwY%P)3G
z@pzQ6yxT$At62RuoT`Wz&@Nm{`IPhUl)IH{p&U@GX-P`aA07Exn^Gc+L1RA^(x+~L
zU^cEJBnpdP?^Z>~oBnF-i*JgE$(o2O<Vrdj{cRHFR?s8kG5w{g@;<G@blP>`XJEej
zK!DVPJqa`Yy<*=K_>{6CL9i|569tvyOR+gRU5TY&(QykoRh25_k<j<Wov$>)sz^bv
zi<Pal<o7#r<MNAFZ#oV7cnzP<HAeYk!0Nd?k21-tD@aPE|Ak)FRK&`|ZLf?Vx#BBi
zA6o1C#h<$!<74uI{XYX+-0PH$Lrtr&WAL@Ymg&eVD+s5=+(dH1K+>w&wz4&$u&U#2
zD$-D;#Bv%K_#pb5*_KSVq%9E5tfL^kh6`8bYx?8y-xg~7lie$OwJc@!U%uNfs2mt6
zAvqxzV`Yr<zXVT}CDuR&D&|J$DTp1~ohMWck4|_+%8Wshgm%)ZX`R=IvawcS#d^_H
z&3LQ3T8hy{!>A!hu*bdAy?A<w3}*G_`+hTZY!9C9Cl{9Q=KfHG*6NCP>y-)1Yzwsy
z@fh(V@SDAz@gaD0X8%!uHY4$xsW}x=jK9rUWR~>c%`?76t{(S;cNEgy)%++H`7-zv
z8>_hvXL=V}nOaei@@d6X%^j#+E?F7Dm0$SK|4>ubI>mbHLUzb{SD+Tu=6!$Cz+mWH
zD~VEx7^%&9_!3wF+chOurj)INt!Zsu)3TX<1fb)@9e3@y`K>B2mb`j%>uZ;?_3$YY
zobEW@aYN87W2G3#Tz2?pwgqOE025gQaop&bQMKOs@hR;S1v%GwBVX7SWlJ;d1f4e|
z$l!~MH){JI);`(}QZ9+4`+0y}LaddW-{cHxm6`ZwW6PHVgRQql3r&>g(-&?cqzH~5
zD9Ei&e|k}eYpxocPOR{gH5|5)3Dxo#K+?Wmq&=dSL@AF;vZWL({`8wJrbm{w+PJwr
zI^}5T^kJpOrV|FNNJHC=wz7&hl$6Ac^x$dZmXwl`f|TJIU{X82xJ+%>1lzcda!aL<
z_bN0~>Q>^SZrS=11hH*e?<r;@H<j@&`rg7@P^%uCX}&uZxuN9&ZzH8(riPLci{Cuh
zT<yP-J=~y?9l_#L&<kIs^M0P{JQwhMm{q>E6t%m7j}|Rk{osuOSY>K#_g2!fMKd(^
zcUGCAgzsFZs6I2Ss&sf;-%;|RdFW;!&J)w0qS|GIpMA)uU=if7ylg@r-Z&Bxf`EDt
zRtltuPFuG4VG{8!<gJfa0P9QxHuLC7=+`T6a&Bsn>s+o+gS?ft#vN}e-X8m&-!p@+
zs3p={8bWvGYn<kWE9mP$rn}DZi)iMXM(1HLSzw?pp^O~w^;FZaP$v`K)24utCKPT1
z8heVoyNnJ}KA-d8h8wD9S{CI8FVT|G=#jZ|%dA(b#eMr5wsqw}x*w);U<MkN^$88>
zZF5~1R?SK6*;NLZp=hnWZCH10(m)P2w9EwjBL2gEg{vmqEqNg%Yupc=OAeGD2ePgj
zA#x8eCAAMtt&`mcR|ls$WDJAHY_Pko8+ei<+d5cDbmUv>obz{(kzyUhy<`KN)w5ou
zo$_fh#_YD)TtSOd+v-Nh&>C<oO9+3;*7%#OVN@9!P&LQQfs#(S%#_xx1vo}~Cn{w;
zc**QR&Y;h9m$%Jcg)2VTZ!FcC_KS0*#^~GqIq4Rs4~sw7uVj|vavwY18zu%5L)=m-
zU#+>LM^>;GZjV^>S14oE<%8WX8gJpo;K7B%f57hT4X*rD3`Ccsb9Zf<_g4@8qc3Dz
zySgNHiq5$#+tygjTe-H*SsPy{=udW>i>evVK}r7ss0Z~Vi}GYHB4lR1X6iy-2q3@J
zTZ&0-ftsRtVbYf?eqqIzFNEg1k&z@Pcw*b$!|gbH#haeCEg8d1OwSfc-T{r=je_i^
zK(yes#Ht*#QEjO4=Nb)<fl5*iiywSS0y@6sp#`rpEE_@J?7aYY;eC|5Fs2F_2$t%_
z!Sd5LiaNf8@FJZIYe-w0dz(QSiLP_=u$Gjt5cJUQU=9FxSaRU7K%0BUMo6VEALn+w
z2Nk@}zuZ$&%iB4glT1#8x4E`qiE9HT1=E()-EZSFZoLcD0YJ9(ey>ak-L0jcb+Djq
zPI|a7*j=+Q@q)+Dnq$~}O-IRsa?XR+r*ksYiYrbYTpxl=m8J5Ri@?D~z>gzLl*E_s
zdLOb-V`cOD$^O&Yv*Bpdnb`g2-D%rBrvuXsh5GgSc8w*Z+Q~rYYA9fLkDcKOw%_zz
zd*9Bt^xTRxHS%@p$+C`QGH*w}>J>Jn@i37sB?x%$n?(0V^0`NNK{dEKN3-yNI`#%w
z+L$>D%+Q*wO~GF#N}pjg@?+3Og-|#|L%yd&H@=MJEr;Ey53@4t+8MuahH>m9<Ieur
z{`4*=(*USIqVh3pm+!yXbm$G%_^+F{6u${X+PwL%JA3j|w>d_L-<emXKm4fdxKcfa
z-B%?*0rjWA_qXAw@x2YCN9Xm@%E9Nnl^Yje06Umzv(+2Eufc-1VpS~U?Qzvw(Jc2m
z2AJJHYuae{r!#K7i2HmeMoP@=++j1vM@Iu|^-9XFTK`$niaX6XuO(ZuT0Ch{%N*W)
z=4BmPO~}#7jpNDq0C{U@NzUeZeHrIxZR_PSi`x_q;Ok#OX0=MSar|dI7a6}A=N9SR
zu)HUEEDA^8Bql@0_xEVgqD8ANsH2@K?{%%GN<40a$~?_qws6T-ib3j5lXAmg<_%|s
z8`3=&t5e!mID(6LUScn_MvKA%aI0wncMhet#W^vQ$;t}V1)jZ(2P$#5o=fKhIB*my
zO#ue`6`YexdDHiK$xQ2H9BcSZ#sunV;+q_j4Rh94#(uc*U~2sM0Q07|CNQ(^j4LHD
zWaX22MX8tC+ET9<?x$bfUi~r}v>d9$u)Xp9=N{r$PBWt^LkUPrni(MF!HDRN9FUWl
zf1w{xtrf<zV5ot;!8Hd&UL4PMZ^CN<AB$Sb^w9_8f56nno>w~9)@;L2Het*yhg$q*
zKMlXqQNe|SwShU_$9D8{L=QuE7t4FuK=1UgAX-|014sju@6x$K&*x>}wcblkl{b3J
z|JRFDeaMp4wO^I<wQCCc7Z<)ruYSMWcqUEE(o_;5j<sn5XurBjFKjY_Hm}j%<nBD?
z2rr&ED>5FmP)wi$BDj`ybXiAq`$sA7bI}SqFs?DcPqfy7IZ#QU{VfXM1Oe&kL018X
zvdcvRb<{d~jYkMkFmlt4_gk@q_WBp&|MDG~Ce4Gi34x?+0s%U%C4{K?@yvmtd?laL
z2(b-Pef6KM=93J-s*tLE)E5l6x@?(Bpv{TMrVX|OUalpgsp;w%;4DVY1`j?oE56uL
zx3|3zJwGCshsY`gUGmxl91k!ON*zN^n)E1Pt;%1weRV8Mb=Pl5)l?bvY!bV3`>|VG
za_FLCB)jhXN}DOa=vKS_3zvRou=L-e9e=s3H<d0ut2Y%f6Fn8vU}hV-UTRz_n!r8J
zL;@c^lX&$HKck;##qn{C$-SJhyFapbW2ATAWd%Q<Iyiqqepvtu>0uw_4AGKrz;5s&
z>cvE`U!9y*bshzRL9hPmsQ%6SD>xo5Tl^$->Gn=#*wUl-hGBp^1WyT>Ry%{U@13lS
zkiEd%Sm_W@ycYN;JHp?7;J+^|)9X|DVp&Hk3^U!LJn{<z?rpoes${rWwLaP?%=&BS
z>~H-6f>Bvq;>$rtaqFM3Vhi2nV{4XQ`iQsxvdaE4S67*N!nf3K3jHTi&oiaF2Qe;~
zd(P?qDNOr)yzGEkQs$gD*MIsgeDVRgDR$<|pU2Gp)|>ynEIMEajS!dq?fm@DhySlr
z2U7iiGsVI1|JD?skM;l3J~vKt3b!iPKL$G{2s(CcsDcY$ZZZpbF!;2gp5gvHWcR;&
z)Stm3ZX<v}m_<K_!T2mgrw4jO7QNws44Ei~%oSs6rdxCfI~F7;E6H}GJJ)OM%Y&57
z)BmXb+(6hmC+4h*&O7N+-ztqY9K0qHvv&=;*&>Z<X%n4IwF#}juh+@@1#52?5K3rc
zL)~O`t<V2Fjz13K^M63<RKseSFH*zMmLXFOkbU{RI*qjn>)l&ZyM%s0d1xn78Y&V~
zjgm)<_XG!4;{&^kcRQw7Yanu#cZJ}H7{b2~`oBLR-Uf!gJT16TAaodXM+GYkn~a6*
zYmLvc?XA!WlOz#xO*RTu9hFTOr3}>Mo8?fWrgGN`W1xPkE;&F=r1tdusp$X7mi&7Z
zdx9B2%Q+Sx9;2GaNyFdPB#`&F_VI8Lo5iR}#ciJ3yM3Uw5PN-ONI<paeAKUeSj%$9
zg(;Ym7hIlprZDcV!Ji`fd;e9HnAgG-4??V$V(UjQ+gI_2km&Z8p}wEj(tOYcqr%!h
zW$Ts#kejpcnkIQIKS_G&v@YY+&5J(r|BwW*Ti|NHHC2pPUS5>sdJ7^hLfRgRl2b*)
zK3l?82W?J$ViV<k#?l(kRFj`Jw#c>yda8mXRX}Lbbpem@u}$$!w}_CjACD;IR~X8-
zYYlZ^_?DYR?s0#Tt^9oexSoSF2x-WeFn;r$?*yR$%F1umC#$_nhs;gv*~?E|n>@=v
zo1(7tPr{Uzr<RER9_yAyLP5XG2%~ePb=19!{u(7!Wq7aegS)9bOekS~n?YGC-*t^n
zi)zRHxR@3h)qmWiJR1*^E0gW_Cx)avbxX4~R%;=oF-v-}WDYrXY@Q~p9Z)*%pO@wn
zyj+!OJB!TnTx%*Af9>#P95PiL3L>YD2RPtT9I)MCWAN*+Fl5MVvCSozEs~B#t_N;c
z?B4pdrP#C8wB_n@5`j=o4)~`)@)ATESlooM#xLV9m@j69-c_N6YoH))6q`}&dA3p7
zzORo)&pe;pj;9K=HIT3~M>@gO7ciHYR&#^~E4LgSk8dup9+1^uMM0KZq>mlmn$Q7J
zHug8&2rE<XA(M;oD1vBhxvf`-zlTp9ez&gIca>zNISc|tn7v0-e_r@!Gov*2Ksw@G
zZ-e+bOXrdNK2YoZJ_rQsN=PaM^~*Eb%<}at=n?jUAlMvx*0^dwN2ZUMo*3_!)!sM9
zWNhX`=9~(XZG}w*MPYO4l!-_XC6&EyST-xz0#mbj6%)Oje&lmgFK9TvhdOukSLAMa
zJe@2nw}32F9qpzSz9sdde_1msKKwH!`fsbJ<Dh@jL$Myx>Gj?!<M4B1yL-J*l*e8d
zr|k|0fn(eKd`9u}*zdRLfGUG%PoSG~(WrcE4t2(#GS8;9XD7c?H_F<un~amq8iHSj
zRrR7DTM{WhJTT+&ZOODW4?olxji1mX2<r22^Ll4lwKf8w$>uJY$x+MbUZPa>Z?bxr
zngB>!k9OGorH;9d@0_$1kAF15x(ooANqF}ftid%Kg}oL`-nTgC6`&ry1xuc+?u5*m
z3EBodZduw1k>42`B5$?l`bXP_eAU=#bObO+RBPn}ba#F-l6`E@mL?Mqwe1rQS_`Kv
z$@H#AEKkBT;(Tf%*>^t6qsD0gSPF!6Qk2ZMJ=g-f=s{9KZqQHXY7k;I|7j|j!~G8G
zNsR1niZBeYtjUDZ2b+8}<jrqhHt0;V!NLW`##tND20Pa=-T_;lz?jP{Rrli{%dzYm
zX-ueTq|E|94`#^YVeO@l03?sITbkm^18BEx=Vp3qO8H;%(|J4O{Wat;_U#}fJ;B~B
z&fdZsLyii4&Hay{Z-)k?3r{oekFI~fKu%?c1(aa4w~zR4TpIKGuGA#b9Qhd!BCL-Y
z(?CJATgc5K*$Xf{)oI5UyDq*urHG-j?d%{4JB`)A{=izJgP{j{%*T);F<W;r^#S^r
zds~SRQf2PE`>67wW3A_y6QLv%q_LPgDz8QvNH*2RvQM6LegrBom16&=E+SX}V8?%a
zf4`gCaN;vZ@Pkp|Thtb72C8VIE1}WVg;w}newNKPzzJEqzixka8Q7y}ptrOyFd3o?
zu#4m_uwm97VAt{YIkL!JA)D#r8+hBr#i*%jdnYes#ZQlGUN+F#FXQW$W?2fe-!<e=
zB^YQ=sa{KCOR$Eez2tB0>4OjJB^inxl;#2{Ko(s{o}scMfHp@+iig82&!ZsQ4=^2@
z)AkRSCtYCJ_-3Y{L>&8E_PFo}L7E)K2)BGh;mZx0HK>Ep<Bsg_n4y2{+`$wqZ|!Qg
z?_*1!23GeX7e4j+YS3VI=GI`1_#_ke_dXbxm8A~>?%yq3NBi3Yf4~00tOr?YJ;j38
zmang(IszghVecTM6e`)@%J-rC{D!5$n!VY+PQY!r_BhpYM;Ey{S_hfSm!=PX*N7f$
zWuolg06-(5M8nqzI)Mev&(KCe;QL;)NDy^~zMIV7gQ)<?QD=J575s16Ps+Rnu&T`F
zVvn00!`?qVIl)~=Z2kwrb^gKH1IbIsg$fD!2~j`T-eP<WrQZ#eFJnvgUjseYzm$V7
z`_U%9ArlQ3L3}pX-ZVw-Y{xgTkIRY%6k0CQG$<mQru#cDAd^#Ws4dvO11LfzZ06{$
zKQDZ((JKt?=mJ2~lbk|FV|nF&^k)BedJ2>e2kQu()Hfz8Xoj^I5>}>FgaUtf=#|lr
zKz*ZagUiOtH=(;1i2618uzWy@v~|mSYZ!N0zYJj|d{2KRC#ZBGrd8jJow~ne3m9xx
zW8|tL{+Ge80^i$K)_V4hK_*}C&C+hc@az-Aad}=X)RlFXq%qCY?7j3baQ<ZJqmks<
zlZBtOgf4%7`!}!iUzeqN2Y#aXNlumPcIx3b%-xO1vZFTs8c-;Zs&&c1ldINhAamU|
z0)W+^4GYDM<Jc!;(L27#wOhMlV*`Xq{_RyWn}t-Hu*%HfsYw`X+$w6zM@|IBYz#)l
zZ<Y5fq_T?ww$K7<YoIrMVun*bm4*QfgRLK>U$>Ur<k$RjsqWS|a_#&Kq-|Qo-v=GW
z@=q?L<$)twjFnnG$EbY6&b%5g&n5M1Lw}#!&(NHL%nLx+TI?9ep8ySsCPSlh7l<TL
zvL1o7jZWYXzE-{ezSb;vE>*M+1q!PfpP4d2(wp{ar8NOtKlWgtU&c^W$(9L5Yh@B9
z`pf3s7{TMF!fewnh?SM_URng$zE=|^3e$4w*3ixGRA1J#&^r8T-@c;(=0|*&kLe|N
z8NUzF*XW;2N25akz(^nRj$;nzzHaw$*{{TMmZpd>Y)OK}$4$2!u|@`b9*=e?11#(#
zga+F%41W-GqcAL&%r;8jKVf;_*T=<|Np$<B3hl}Mk$~H`3Gc_p2GD`6fxGNPGL=sb
z4cG%?#_NTVG$GDJx>h2)_D(#d9<;B6tk}P*qF<`LD}g?=8-(2F-~UlyLD>jd>VdQk
ziq6tZ#{8~(eth}&4f#(yb@+e^GV%VssQNF)b}-m<^xQ~CS9a(%jGmtS-bQcQ*lbuk
zCC`nX(!xa7iejhX^)+!Gddv4PTmkQG{YK&1un7(H1l<|4-dwz!Jhl$XK(1Dtu|_)T
zBiDAgcgNa#H$Ks|VxW}MFcXihi9O0vys=+A9X2LwQ;WoV4bqeOw8nCAe%F5wMbGQM
z0|#n1ADbAbpYgoMvK9gU@V$qsR*3g&YGX=HO-rjGsDynQ=gQ*`;%E0~f~^}9rUuyA
z=`5BHYeQyf=*{5!x&GA}YfHv-Typ<<Ti+#QA%CLG8X~5X&`7Z{p@f;h$0>~$9tTUa
zgPuxflP?^zO<HubviOtj=ih=VS*idy8VfD_!NXwr{HlC=lF~3N+1|d&8h>pqf?6U7
z8YEY(%-FEn%=+8VmLa{;`@OJA&wU~k#z;LY6HTw$53k9`+G@WJgT^-NKb+OJ#hB?q
ztBlL5sQiS6@zI~;Aga6mhN6hKkZi^HeB-T|KlwHO6xqK-$!!c6DX}g&Tsn5~+?!38
ziCg9Ji$Xe8oAYPX!4H>wl6`N>bH(OT*g(5<iV4PJc`_~cl&L8D?Z{#|gnU`)&;4^Y
zm<Sv@zI%6ZAJAfvS(;Q`zO7Sjc_x*1*@mJwH?0Dg1>2&{mYi|XqLYF$!}?v*<Ns>^
zZ*RH}3IlusTOTpkvNGS{c8RU?+1+a)`L6~WQB&nnFph{cn^4$h17HmA>Of~-?dely
z{7=w1@dH)k^;Ouov}4QAt;96CXgmEbbe0Be7QL#Nar)+0h>N^tZ*G_#vZA)oQgyW-
zwi;KMwB#1{+=C;5kTZjQb#Y7OpPVGe1G_W9(mSeNS<+MYV|Mwi08$PtcS`F>Bmh?w
z<XK7>k4MS)BL~+nfTyZLSlLsl0WeJ%k@9wdCYFN_4Z;fB2$>4XYwsEWE_N;|Y8Af7
zCtsCk485y@Sy+USEcpGIY&H$C)(B)Ki1zxLT@K#IIhV5H-md=eADk&}{R6={X1~5Z
zLC~L=MR2h41Dk8uEbH#q$);U~smNVZ9t<FYx-XWhq}LEiMLB@D+p;oj!i!;yR29P1
zefD+y1I?lM`qjuMAywlD2YnCyIu#n|hj8siAtA>SB5Eqe9S;qg=z*=T1V$dx0_*ot
zeKeT|*CPXESQE^Q#zM31|L?<Q{vt@#Bw)%!^{W(w8K^-F-3X3VlJyvQYbgzt9Sj<!
zUJH4b2_kn%6eiL|TQc#L!5o2U<3VUk8%^B)OM(xffr&aFwnmwQ$;1g0UTY<a(p@p3
z%Q=)EMD}%=S2UXVig&JuF?8vDa7`3z$s%7*-8)<RQMfuKiWuc1Pv+}EEwTp-U>2?w
zMEri2@Z13)OB)7uRAWT&hF9<D&+^GFwv6tX%dCOSu=`?TM+yC%fTd}N{1Cib6pzv=
zu*H$*Xc{>hn?cCUsW-b%C#!Alz$yVypluJflY9YdZEN3!ijG)NUA@@rqX=(^qK$D$
z&fdH$>13V<Mm`uU{_3wm7*G(@D(B>05Z`eB0Nrr<;AlJ4y=v5aV{y&DySWEZOu0;O
zl1#C>nWq~!#=yu-MWbQ8`=~08n7pr_FT8xNmitG0ZJ;8iYsYC!(sN~WwZMGzL@y(;
z!<kVgGs_Mv=ZIH+=oGM(|15LQDfk^t?<%A2?_S=Fl3XN%Cl?vS0iW-i9z_H<`BYc$
z^VTJXM5c4(%dvSMd1az8;VZ4jo=a_)c8Ld^@)77ww4ZJ~bh%T;z%WT%Nh$6S>$ru~
z<$f=-L-H#>1$}w3mseH8f9xqT4^^n~f5UHVGsaa~e@l0h7paQRIL{z1_L~<f_L=S!
z!586IB))`WE;4gb0sAWDH69<a@Oka-b+VsRJ)-mL1b@mIuJfK$r>Rb6vRdL}>O)C=
zs<%D++}3$XI$Q#++GY@c?*4g(u8VR7PqMB$e9p9JXPP@F=dJVZ-5=L4N9P^CVfz?K
zQunv)HkvD7j(PT**P=fIS1gpy`;N#TE^S!<Et+_{zF%CpDe6$vxXHl#O7wB6R@ARC
z?wIlIm@+Q=n%L;l2!YGD6+^Q1k;~^CWnP>UV-hf2R={SuTxmJa=tgURKMgk<z6JFv
zjBi+4Ij2oe_;g94td}8RvG-eYdB(Cl2LiisgZsC$B3`=6Y#=!nNP3_z$$*c4rWS8T
zXaT9%XmN1|OY}L^k<W13UfY~?vua~<V2vSc*0Z#Q+r8AIXzO`TI7+tZzqEO)|Bfcb
zaP%y*i4fcKbJ|FuNl$@OH}0DQGG5>0$JZriOr4`Nz32aJ^BNg|P=rH+{5-`=6`9`>
zvGT<h8UmQFuI}m_vLD|B{Bd+4!j~N?))y-9W$w&lE`=K=A72Vl^6&w#8`^XX*s}G!
zi!!%bZt|fEoqStPu+BcLnF<Uy(EfJh=(K@vahTz6B@k0@BrWzTpdi;?IG1@*mBDu_
zqYr!9u>BezMrT)>CO*0>)L#%LsK8fuyEjQK4LIy+{K~v4?&@9U^eBa9IEG|e>F1cc
zE4&lu9M>6qO26*}{OhpZ1M_8#<f(Eev9P|X>m}9S{op>UN_>YoIsW|>?rv~Zd|6r3
zb;OAiM_@eHQ!?OkBvk?2^mJ9`G>6*u@yjytS=?7kw*)>&@0}$yo~en`c(sU{N;U2^
z6ob*YKRUap-DzCFBp$MEf!$P+xX>Y>e>d91F*^S1RjEWft%5maQ|^Cn7WgDQ`v%am
zk;Vsg5l-A7<2N}+%u2j!oLJOY*4M1lRJ|SLan=_CHydK&OkUpQl_&|YehL$MD{|Gr
zDO_*4W`g%FSbJH2>DE^P%U8OaOSdiF<36Bptlws>O|$%4s2A@K^VVAy*ih$J-$nBO
zt^+tD01i9~%JV~c4|8swWu!n)x$y5@uUhXszatWsouNQdfU8oQ1r2<yuh!BTSn+x<
zPcP^!&WF7lvrM@2?a;C%=)=pbw&~DjjotxkD|Sqlj-IflAl^=aH_B;Pn~K-q#h}=u
zZGJ0vumzxb$i**xNwLqE!E%S=5U`hQlPi^w;wRZ@w%5y$J=O68<=jhdw6b>uM&bp&
zZ^V4Hk7@ib1*+o%=5-hg@zo&`tmEk>qc3^mI-i~w!`9R(^5mj-9FDiyf?eDrGkzoM
zgGrY?5I3LZ`H{20h5oe(R{gTV5agqs9$n(n9_gFluiExyGmA9{!}mUskF8X%+5Dy|
zrtj}h-19m0c*=_=a)YWKt<bMflhnqkwyD8P);KBY$df@^S!ZQ_K6kz6RGc+utsi|t
z3X6vEL>FoQ9*QT<0GbYCHh84VsB2fi`A!w}sn@&FrDy3WtJp7b$paN0s+1_#q-Hgz
z2b}m4d$<|Zqn4&{@4RG?Hk9FVM9akpD9e|01?+9Hea$JTw*KdJX8P9xPazjwJ?;Wb
z`>h^#W5?gE_QRY3{eaX#bBgcC@xa6@FjVZ_Q$YwE$CZ`<K%0>A`9_dyD%<3h+NtA`
zOsAjl%^Y9mRe!1f@@D?4Q&mx$`IxJ-_0%(?{z9&G{9x6q(B)G#@vG-=(JzMZPjdKM
zwDU#2m--Fj1BhcB_w0{YX+0Y}u-b5Wj6)Y&7dDa`%Us(oI`C5hhIrBCDiTb+myrQn
z-<S8mS6Uc9oR?D7@{XRF<T(0E(7-rZ_1bXUL~+PAjoI|dz}?aI_u=WS%8(l`2bOde
z5J>g(@5hH0z`Y<$!pv`1TueRuCLnq^i%B6c^2K8eJV|Di#H%(9BZrxau3EbSM<Z^0
zT-Z=;P}Ne2U28nC8ZZ6wbZyknpYOPz4Jdwy84nQs-gtpuV=`svM+%VW7YZ>7zL>*b
zbg4`=<{7C8{&Yqe6VqUh|19;}y;s-n4GVzokKfH30WwE&wAaLwpP+ZH2lQQk=ge;F
zRj1T?w;3fb?nSGOe`~--uvcDIjUVlcseOEXMfLSAc2hijtwW2k&{*7i3OPBgkQ8y3
z=anN|q3vy6nGbickt*VCoD~fsXjBDzxjKw46#Xs8i!YfRh@VGFR`Nhff-E7Ea{kn}
zrh?}3xNT;oa!+du*@wTx8tJ`aD?e3cFN$1$8Wf|z(_}D;dag^OUlo7x_>*YWCbw8t
z^r4ms-QLO~V%0}3nEk1pd1t;xjh?!5JcWQl|3(1yQd}<$YGW@ArX1XT%<`Df3~UZN
z%#ISKmZk5Hq~o~my*a`Yr+<z?@l910#D3FP0Is^M+Vu7~cOo|w<ZO>Rv{UneCu3m}
zOD!P2jaof-+U4H)nzVS17(P@Z^ziY{r~feGLZIQD!q)>q2ltoq8Ha!v>N59mRJNzp
zz|8TXs7J|%ZRt8`I$0UQI*T3nE`_=|-Cw#-xnf#g<=9_o**Wn#63L0#=y@uAO8rf*
zcrEo5|IJCW%K8uZO;U#5Lvu@fc4h2h$S%+CK$hb$(0Wnle_3N9=ffY``)6wlF6orK
z&GtD2A8J^Q>o}#zsT=o-D?LAOhObvb$)7zoeBn@bQ#!yzg*JPYlYLc8KJJcq_iUVf
zfZoHUIExeTTE2!6<$$A32|7k5nvjq9s$Z`}($#;D@uvWBQxjG{e*oYRm&E98WQ&K+
zoMKwg;3&ek@%tWP(yWQm=R|F@5zoGEFS>Zoe5O``ub!3n{uLW%$(DkPAud#fyv9tI
zndPts?Tu<$W3aKrPgp-oZ_ll+i^Qwvz=Ge3oia16XzD7qzeSvIYdt{gO4JGJ<_GAj
zH&J&TS{OVt;}m7-!>pgQdrXOVW#9Nr$kI{u*tS<0v%PFx%0|W~#ndvcKlMMhY?&*j
z=82aTq}J9O#Pg9ZZ44)ynMN*+z3K7Wu{*|Rc&1^q0er>mH}<Z-^5NKK4f@XfETE4F
zSzw3BVS;~rN@m_!2~u&_qxKKzlx${KC*D_dlnZK{I^W;vbL9+u_ykdKT&Hxtlsg{%
zP5mQDiu0-3b$zcKA6}-$yJB2=V)shtRc-Kp{9eiZIe|7&vyT@{0Nh7#hi4T+D>t*q
zHH!3O6KM|=<Ew-kS|bxO4ZL74IJsqF2-~N!n^o+mJf<k5nDMF?zTl(jW!iSNz_GaG
z2|ZShqA?~+M$78g4C}*M<HzUjK4W_>UIJITg<vhjTV)oo{0`y6h4q2?PSVI%7dtR9
z^u(n3RzG{c@fBdw?Bw6eJDR5#Bcw{aoLGFw<_T4iSv2%yY|d?i-g2C<ViNZe<jX2(
zq(xi#(hWMtxsqqLR^47_cdi>@5%;b_yc&Jpz2mtS*XD-bak!ts^}FScvp-mGrQBbe
zIDz%%&S;w5Dik<#X~s?#S1%cxG!TPDN_-cHyL#zFGGwwjyHro8T)^hU+_K2WSxuuh
z(z6t8zMA03>Na`xS2&sCqe*oPn2OdGo5!=JY@6@pM_Y|bd%g^@H)Uy5)f7VJn5Gqg
zJno|#zmdMK-2e+%@D+}QhldvomR&l_phMYZdbRz{&%3i^ytPTrZDD4pbN$0IMa<4@
z%IsCUKNGL;G*P-Vh*x{o;p1n)r@?U%%P^ZFkw)R(GwY3_XOz_1?GK%ge^<37ayb+$
zaQANXuT8Q3+aSh}@z{<s8EPqxaGo*UG2yY0jh;kfuo3R$=3Y|;eWf*!Cf{IY<<j&N
zgp6_i4KhAs*5qWs-;h-9+purO*-BCN#5)iW^=#+jb5wrWnXyiHlKsY9n*XPxh_i?1
ztnn)qK%ScI7jNS+Y@ERP2B9h6UF{o2rJKU>V@J~svxI^U&!q%DPIZ1|^Y*&46X%y<
z`<c^W6V1PVn6tmU)hOe%j2dPMNGM=toV(!Mr-7+D9=<arPwMFU^>dVwp5utQJ=_??
z14pl%uK8o(oDnH>t0qYQcQZUu#(`TAFN;Ndd2l>dmtl2vwdb0Zxp|DqIo<Niu-tco
z$!!F0M2JysWtkE;OyU)D<0RcjlZ+l!PEAcMEiHYvvlF7i7<mn8W5j`QDh64OA(S*U
z+{#U?tQNN`cP%hQ!S_M_jEAAT%cBMT7df0AQEaN4Hixd+Sc+I@V161@OBl?GA*90>
zLoe~uCiGS&A0ox?4<~SBH>7V~zQ-MzkUwkB*rKJLKz}JjzJ9qXp{w!S)WsOmBdMsA
z-aYR4(aP#YM|e>V<rhgU%b7>-r2?Pp>C~;>xZoeoJ@(oGmRZ+!wu22e#yul^@~E2e
zq!fvjwaoV5ZNZCm&}Y^QuR1qsODeGczU^p49US;Fj1d+RY6hO?`eR@qvRZA%`CIxq
z{OD)`P#Tt3Svkm3@%=HEipN+p@Tk^Hii*VMsVoz4UP&eJs87xUqipYiYEeYu`}b$8
zY6CdYXtcS7g%^Xbj?R%JQ4j^;nCI2w1irq$zJMk8-;qSP<MxEqeVLiqgs$ox%?{#;
zAN1!t{HF91Uz!(rjJb7&PeEC+&0b`E`fNau2X|8CPjR7<e$j$#zw5qNY+u!XWk%V=
zpImyM>O#Aq9?^7{q`cAj^d&@l(F)^Q1M9w<^_WL5k9t8TsmZ|j{w2!JO9+vNNxPyG
zWytTXG6n6qPnwQ=?aBE5(~**iY`}208b3}dw%TF2*QM7Z`8Kll?G5L^<7G0SX~fo2
zk^*1DHXD-NcKKaJ)$c6@PF(-jp<llwwRhL<hinYH%q}eWP;9uJ3~|N9#ZhS6d-ozT
zGES3}Df9D<mLBM%+zG|$cwDn}uzS-h3H>3V){VM#C3W>UR(`n&GIHEzp|{zV8`k|0
z><&CawnWtDbSB4c1C!{)&erO=3m3dYFUsA!A|&WT_uF1`MH)l&c5$4Hi|VmwUswIq
zdXCxprLL}D;OYAKIQJ3alc!%=b2U|r!*Oj5FP<`HXNKqtA=n&LI46`KQDlaN<Kxq8
zAiX{;+|`R(@aY9-44;^mQgb78r?s_%fy<i2f!cI8YMV$=I^(^V*>w$;@rvhR!Y2Wp
zsj;&vk5kWG7-$fhP*J~FBd#{uA|5dMNzb&@ActkJ_PsjI3xYolSg!w$Aetf!2j@%M
znYmw#2UE3vO;1mDtBm`K!(;1^5Q4XOF-xV?gy};C?l-HBWpBBmKwYIpMP=pt+S<`>
zWZmNKsJB{$)Lyy_PS@7w5C*98g9rk3lRk}W)jp&wj#`&q5&nk?N=i}CvB0+2@ABw1
zuAUsN1*;~h$F}I8L9|O}hG#Kiof*eZ!3v%it%zoS<ZOR7DH*apC8~{13ac57_0<dy
zk;9pv*7Nok*<Tty3G3F5R52E=|L)JXk!M#V#ek1HL`}9Gs$B^>j)7MPKY6j$7-)<M
z55OLktdTeQ)ve?GQLwDjZ1X`94ecvp-9maPRMmp*I{ir?D^}j(6T9BT;Ns++jZEQi
zJCW5`{%;XJ4o-v_(Y5ndG=$V|eK2L9CXpvrR-|#XdS=$z#>QWP&6Ylb&02CBZj{=~
zc(wzSC^`lN;M8Cr`aZ|My`&H@UKbiL|D_=7%_cvmVnOM;BV?)|7dE1I*St&D&#w|+
zvhG36bR5p=Boc|Ui;KGV@4vC!Sek5VpXQ^{Xd25Sc``-po!W@dyLffRgGap1Y{*Mq
zs(#&UrJ3lOv>G8Y64wL)Vu~fxcM=C!J2&^DEH?{etl#EZ+KH4^|4cVC#Cl%jYis{0
z)Z@qQ5EgnisdDhliE%y5{36NVX>B%(`H<(kcRz(AP@h=SrG?Jh$$4o>oV(6k_R_j^
zPN3h1nDFYYP7o}jj|<%;R#*OLG>Ky0YVvGX6&OqNMUNK(D5p1FAVl=V;ghrX-yD6P
z`|rRez7%j!3yI?}|M*-j#xO?9YpOZpDwsMrIH+b;sunKG(CGc#-NLd>*U5(skBcLu
zo47^BRxhx24hKtZ8yOpGT*C@|=d-jAeU$K=rQ6BLsl+^orCzFJ?{d_iTmV*?=HT57
z=Fz^svQ#Z_i4%8{Y+R$R+XAw#&PKc}yGVBEMH<&8ges(+n=siEB1Do(4S&M1uVbmO
z_ZiLDCiCIW&HU8q4UL5-Rv$TbuDOU(6rA(wst&Q-PaZDv%;sOKu1RhfKI+VS|7uUH
zHH2jsu#&Ee(Jef4PZ$O1O*8X5uM)^aAo9bdH+7S*4i&xj7&L_hU7OjK1W6{mT$&T>
zxx~<}7ULuC>7Qkj<<y{Aq7!~<(6H-b(tS;5go5ZXXDfwvd6AK&7d7|o=2d^=4cc{b
z0;P#%u{BaZMKl9`#1_v8DKnL^RBhw{n#yKbK3!Cr6<eij-dEF^Cf~FY>z>ZMD&Kty
zoCl9Z&8Q-r#mm%Ui{-hK4LOw03~!gZo96<h)({IzInq<aI=Ie>5AQv6k&c@gMihYr
z!M1}4ws6T7e9ji**lF{6XwXbnrs~bxo`$cn-3|=n3z^ZO0;aD|2^Dtf92Rb=Ruq_8
z%ZcM!OYVNm-ackNSQrAe{^aHMgzJMZ52=KO^wtWkjbMu^MoDkif(brv2<2H<JIgXF
zyiDu;<mb3HWKP?)%wGm#`(Ul`_U|6zFyaxu8oEHLQ&+(S3w;F%nNiXap#j6JjO^wq
z<2@n3!mpP(XP@eIwzmIiK$reT=X{o6VBtXDUTi%?;$83tM1!bq^M5Se@V09cH}`YU
zPI?a9R<b&{7gmagdzwdN%u1@Rdu`;jTzz}hZJB3AOqmmEXICHFfhg)$JRIQQz#wg$
z<I85p9qC@D_R<~P$Dv&0A$2R$1ng+p!|3930q^D`3y%#ilo{TxZfCVLa(ClspR4vd
z{y_AE{1l#0UZqeLq1rN8Yj?<|ov8G(ft)S?Gf=2fm5)KZUdk{4Gni{*E`+^%e++t_
zD>=zngQ<)f3;|=WU2aJj%;#M*?6CtoAJ(g!w(7j;VtJ%d8OKU|D~M>IJmpv6Dvfri
z{e^zQnZ2cFG<s5r5^a0EA&u4=KyooKWa~G{>f$T3Ow3t2&zxx|gxRqM*m3nYPxdyz
z!S5$V8R6efHGFmEYbwkSu$o^<?oJf4+Yjd;%KQXYUXH+Fy0w8JqyOpfL=2u<K^$0)
zc~;_OeMBSnDkZ2V5!zoiXYQ|Z81*UlmmeB9W1pC&Yjjh^1TZ)@`;uY50Hb68m)grx
zE+vo|0QTaTxvboPa}XN~T974i^|15~6%;!X6B)|ZUGSHqOV#4t)nww*KGxfJYR@K1
z_()`Kg2gLOR)-?$l*_f|Se+G<r@huv-aIA#ER{=;CBAvD_w%j*+uQqZJszp+#u2%4
z*~O;LpZM{x>$3yaTePdzlSB4l{%5D3y3|=o@ml2&`h>T&M(>)AxI8Ff?@Qngu?4?5
z^d%Cq)#ep4@`4%6!my(`I=(si?y1mI4K_^a9}Zr;4*X#;&FEx~iy+EqWBTJ04I`l?
z?+6{!s`rQlgWfv|1p&um#}=OP)^vV6cbRl1<d@R(d78MerE_jqriXUO{tRNGaCEoH
zpL}iK8Qfq!Bo|w6CRMtpzTY9^c9au$opH#vbD;qFL++`W?u41tJGX7K8wI=vdyXBJ
z6UQfBw%g=<y*L&v8oKtXb4Sbj7c;PX#>d4ShxT`^(}6mBRWIDs`HQwV-KkW*n*MVW
zV>N!AEUl*IB_BUNmi>S;RaRM!%;-kC<F}P@qT9;7&l?i=aU+`Cf4HaXpJg`3%sk1-
z$asWLV<IDG2*&R&E!soU)dp|J|11`ex3?&;YJPlCP&3DIRX6cszNc#lXA@E6>HRYo
zB`<4IMTj~Mv!C1B%4JjDzSBT^_#XQ{&6syI&{qVmewvhe>1x{YcxccOCtnHuWb(C`
z-A@6ApF`Dv)j}?JgzQ>b-Jwi&rNQ%|h$Dw>_IRFs*s0|ed*~yu99fGs6^*jB3co7y
zAw)o9@~$S^^G1VBr}h(s7a+xn8HpYNF+NO_xP;B@W`SwKuX@=eZlUpOc_~pV9j9M9
z?{7HQRK3tq!WynlKiw;H62rUEPE{Ch6W#o+@fh9>yS}~RQjc#q%o+d0!q|F$DLZWW
z$qlls+eV^na14azCHPa<PJ^p77(vJ-KSGoZ%6!-R;oe5<(~iHIbd{3hem7?5;`P1~
zFG9J`^DARXjEgmh)OgYEmI#2|J;~)hy*B6ITbSfu747R(P{|xXPJxdmWK{#GqOwFl
zL9G!>>549%YqNKyQ%5dKU9@<mk?GPsbLw#?8zK;3V$JD1E+Q=4lA{%D_4s*<4o?1s
z)K!liBEg1qd}`SH=+UDPL3Z!sctjDq<(R`|a66$^c|o@XV+UCBSV3A~Iihl4JGSqv
zW?Ru@jlnVc?dxx?d!D&+`yO#g{&{1gfXv`19dv%rsJqMIg)-5ir0IUVSkx4n_o#vB
z6Wut)I@0>&eB))<2gHfuX+2+wg5^M}042$YNYDs<(#0<RI*Di(sup)nyzR{}6RSqz
z!Ut6my1tEjH0K2Rf{DoyA?LbF1wK)tgu5e539BYyC-xqT*5>$7ngn8G>#0GaW22WY
z!_M^Ip1I`grJ>z((?2w!OMjnjIn?9cIY?emZNy`u7n?pVP3zD%?cK^LC?q4(b6=_`
zZ(2I@z7Tj#Aj4@IzcF|a_`cN8a7>94caw1u%1J1P_MaLo`^EhBb1L_c_v#hCaI%pd
z1Oh>cMr_zJ4l)1o)utf}ce8gGM^gD?4X<H5CmF`V_CpgA5~>{h0rrLCBX~Sk2qo2%
zl$?ypa^Uu*QO7Yehc31AaoUT2TXzzNCw8B)qd0N{4-0Pvd3&!e?q(T)Et;h+;6Wvy
zDERGaXS$uStGgwl$5{nsaEC{^tfr)-ha9at75zcz{b?b?k9|2-H;DZVFZj2vWJi?t
z;#l6e7k$poHvn03wqONU%HU_>;_}3fpX17;_U4`Kx@+~oCU)qP)J{)2w}HuK;*IO)
zVsBi+a5;AAO7AWA3;WWNCW6gs${Mxz)54bhDz2C=k2svs*;sw7JvF+-2iXYx=7tvu
z!MSwQowCbSq$hkOb1>}eFc!6ElPoC_Un++i*yN?NE`Lz1pL!Yo;zs7pCJ-iNc~s?9
zy0DJ7_p`v(BL?_@Am%T3YwTtmmZ;V*KqKVQ#)k0BL-C_qskU7WiMO|EYIC+)*MG)F
zcIg;B4)@NSF_<~2BxB-2g3KGEO1kyHYz}ml_7b=1er4V=_2BD_i$Q=1l2HwqEs?u&
zAIJ4`ez5d8t3*8`l#@^AWM%o%ASf3+b+x8M<tSV|u#s_b8-ej5hgYT-fJ?{G?k3#f
zWCJl8D#m)?Qzs7DZV2zw3f9OmB(L6J*dX6Wm5`yYrTucp`o+samry8_7iCm!6b0>N
zX$A;1G}(mJf9c+fbXH;E{$sJw9`I$-ebz<{4?JpFM`~hXVs)4hSyV6n-K8Z&&aRgu
zoSYoEfT^n!Nl8gDDmo2#<U2dHKC+g+Q75JDS&k3os$~L<8>GD@73jB<LyP>k7qENR
z#ulC1+!!jR<qCm<!?Qc4+jBL{twdkmw#&1bi47k-vpzlpV<fzk;{<N^nRi9R=C|;?
zJaP_K8p|wk?{<9rk2?E0bOlK2_0AC@eqi<ODS;OD;MS$KBX2$zmi*ibIs{KFUraOe
zA>ws79KRq~S)K>l%HRS#I>l6#5`O;V=pT^aiB;=L5bq9jRZmt_h=0j)MsYB{tDdw}
zIHGz59@mt(L^40*k#t>wb@r(FP7mXg=bP8$?84Fdql^3x>Co?cvZY}z-k2ZSQ{7*K
zIRh>-F22tpAPvQA_Um`bz*d5s;rhDuqfa)VIuv|l@)N~*Q$`Vu!}RRty%Ge*(XSV_
zxLMf%eC0%t)Td!B{GA(5#Y^uq<Hi#=pdWRo{9Jz8;iC6i69qTNXmzB$yKZ@rs{osf
z-xU0Cx$}~@3L|%Fmm%1Tr?Rq=63PuWTto-0e~ko3QBDgAVzcU`W->P2!kY1yH+TSt
zD(AYfF}s{i?QFAyjIYa786o7(RfN+;EN-;B8cbXz^?twrPisT$x$k{Yf4`AjdlJ!$
zILX3Jd9dFox{)<1Ntc+m=V1(loMYY(q+O&W6j#*_csu9t^;?8MwUY|(%LJemV!70N
z4K-)Z`rDS*jSAAbkFqJ564#0JrE8=^sisryAKaG1_8X$jr$qb1))-jb`(le$D-Vy%
z-zL7M*WxPO4U0@C7i%~{_7ojN(8SK6?fhDOelv#d=-ER(GtDlhe4MB~?bj04KV!Ds
zU-tL_=LKXQ&%~!|m&E{S{Kyd8#PX3WtH)(15{LF$gbzFY>>#tKHYy`N%ZJ-z^BtU2
zw+xsRXxmHZy+;VwVAU^D3>s0-D8m}lcji^S8NIO;=pMrb=qn-NM5Ijks8SX^TT-Q`
zd%UDAf0ysD#7mUfLe0=RAfaEBZhu2k302w)Y}tPkY`olk4SbzU#v`+veu#yxe3v#-
zRX#jCikbPUbOr|mMP4KeYs`#d(&VhK+uG*(c%;7r8ymTw>XbrEdmHJ|x8c>VyE_Pj
zgHZ=uMkT5_)e-LK1E;t64R@ZQBy4Ls&3-rYQdZ|NgnK%QmhO^s%}*&_TI-Wk_~ztQ
zcv@J-ah*-Vkb{sMi=&-(_;*I)9Vyc#TIlLI8-s~a+~vJ*ZpS<jJVZMSW##58g;t`F
z+G|%jTp#IMK3y)rtZVKO*g>sOZFKD6xE2pvbbRRgL)Ec+(X~sdJ5^dj&H7ajDC#z0
z5?$TF&odulEngo3*;lh$LiPpjbC!NS{v12@tr0q@<H8A6pUsoJPA=fo-d5+L$(=#h
zN5||WNHJ-=I$cXXKAgYxFno={Cww?Q&Fp!zotg3r@kfmC(m#%1cJDrzd@<^LaCTtR
zn_+>9Mf^b-w(Yq^1&cD&lpuSn`*XB~!sSsaVZ%Go3lDF{)(?pRKFg3Q`$&AZMCn6H
zx8=Rc%hRJPl*NUFnW^sBMm}l#sZzCXV6bhvtE;P5=UbeccroE3xcb0>ak|4XhJwO_
zsqL>MXrV2wMiFS2?z*p@yW4)g{{A(4ve?bV;qn7MsYkxg)t<{z8aJpwjjx}AfU<ki
zuQ$@hH8k)kH_K^8RCXV`em!FzM|Kp`EeXh_-udQRT>C#1quHGuVtQNpjHQ=z<)k@X
zJ}rg4u?=5omxu1Be{w1zMi>adMW|P?KN#zL@|hma@yO9mOu|9cFKSIV+AJ4FVYAW9
zKqB?lGtnz_v2qJa=}Bb?oadoeyS?K6ZpoeUY@27A<9pB8e?QxB?sBcMbX!nXK-R5R
zAbkeqc`nFN1nLSneuMiV!gDmj?j-TT#SHPTkkit4R`I9LWZHD!8#`wQ|2~A!2hb*%
zc@~;Q@G0^8_<zF?$;tI^_Oya;$2HF^DP6-d+Q~4xTrUd$=2em|0Di?fBPAy*>qoV`
z(tKMU{hS+E?fPX-Ss5?EfiF|_!LK+4GpnB)o<j(*_z2-Qii|DCW-K80DU!pm>Ct92
z?6-9nIS1}IcVWvL?rvPT&s1|pJwF=`xC*bh!Sd$#ct&INk@$1B@|Txqxi(UCmogJI
zkvwsRX(Ls8q59R^pZ-6#-a0DEwrd|27^HhB=?3YN?v@UvkwyjS7`kJIMkS>c5NVKZ
z7(z+}=^VNla*+Cl=Y4<gcgM5V`NuG<HP;#Y+;Qw<?<=t7cEiRWE^~h<a0gq&+1@SW
z%vL%SfBR#+v)gPVQa1?gj{L&&Rf8V`l7N--NJc{D5^kK`1p>QXbJ%7kx}p>0w*|bW
zxSqxYAo(<la{GPPp3E4@Ik}4aKhlT9Mwxd+X%9TcNjA0W?b=eFL=Z@8S2zA3ZNWK`
z+S!EDg`G<jy!lI@{QvSZGrEBK&joK_m16E56${ZUwAKk_SS`;aodi*4BG#j#9*f-6
zoDV~9UNpdm{!CtLCxn1IxFfA@UdBdWfv{uM$i8P;bbWN|(*ke^>7EBRwRd7cJ6`in
zuQN%vZd<nYifGeyAFN^p1Y1#FDsxCL@5?!QQCdh&_RU~z($v;|_X^VO_tOR_uH<6@
zDCn%hg)1Aa-$`|};#;6}Y!F$ZUw;u3k2XcF?Q=|P$nY=Rtr144@#wQ*%xPnJKWFNk
zrVl&fTGgr+C0A7*<QR;|9pZNopwn~TuSuD%FZgdsu$gw`id8@LH1RvIiUhBTZk>I<
z+MBMvYMS0ln{B-Nb53iY9Utf%aGQ50?BYmh39jSyW)>OT>!pU?m$d=Dc;ek_r?LH1
zPX@h7La%D{3=8{7<w=zmLD#1{EN^P|wY&&-8RRFknW28OQ|^x_aeU;p!6N#@2__Ed
z)dP2k;$;$tj<8hy=^71epKTiAI|PkNWmI2#t#7LX!-}^V59Qw8&_-K`XyGp^zHP=C
z40Y^0e%D|MpZBES+7N_T(}jJfIez*i!~oUe4fnM#rA5%!+n(A#lMd(OiSbT3ng0a?
zb|OJFHDSK9>pl#pa4~aO+rucgIi2Ed2>K&8<Ps44@OPoFX}GLqTd>cIv1+N>!R8x6
zi#P1OxvaksoMe^$F0ZlZ@Oh47_u_;%P<elo7cd@?I{>$uxe^3QVF+oi%3jwjE!gai
z*r&aHp9Gj;!l9C#Zu`5Jn#eeJ0;?<t+k>vp>^?4~Dm9xX>Xn)y-y#&5r4|QoB^&1`
z*xONlo#kg1m+^46emu!E?oTs#M-}(gNb#*TX6TK;G#G0P>_3f6wZ>U`2`)l83=up=
z^Er$79kZxI&qn!J!MC<qSp8H!PUqb5{{>H5!6Kgd#Rw-^FVH-aMXff#tzIWic|%sT
z<{1Uk6fy|8(P5Bpf6<7YS53c84V7MmW>*Vs8vQ(6WPm7qleDl=hWCg<4!Y#L+)#4n
zm%{|J(Lnca$q(@pYGW3?6nB_|ZolG3gcGc4EQM~#MKhyn=g3ZN>=_H8W8BBuVndoa
zdcQp}N0HPqx)|Cc>M+%~<m-r*#c;E?A0X`>>U~MrazjV>_7+bOzrFL)$l&`Yp0z?O
z#JDx<i{6k7Uui3BrrM<bAF2D{Zsd;mHpQgsd_gDEVHf{qaCRbDLsMQ=Jy^Ec{%^3m
z7biqqJ#L6uQ<cX>Cct0TQFBVA!X2ny$*Dlcg@a#_7P7UEn?*>@Mc*G$=_4#bSVw|>
z-PBMl@5?_uWVLH2=NnMO<{%nHPI?ysuMbi`)EOX6u}ysJXC0yznxLzl<9hZ`ULpr`
zr-($Id40@hGzBG8vW;uL>%4b3%>CE3)xcD9$=T?2Ba!TW-OtKLH7h%e&{sUPkSg}2
zd9x7(h|&q_xeAA@zHJVBM8~}tfL+uyS7v&_n~v{(i)<42zbGq^&;vi^NyV<$5FsXg
zs!7++1*rgmV|}wHSC}|(N?hJEn@C2ud>HyScKYj3`X{lb9JpI8jVqh-&4E<0KLx4!
zzeAacaoix#*uyry*x5EC!(;VAHe5MlIbiYSvsIHLz6ySC>jZ0fi{Vkhhtp+AU&83j
zQlf%FqX$XGAv7X&twrB`$z*k6e4L=Pe^YAz*?x{vfj{(Yzi~)NYvdk9kI9FF_OeQk
zwu7>B1~M~35c&~|zJs{y%GjRVkcsRhIp>Ld6`ZiO6*bLmUkOLdK40pB&M3Zn1{F|;
z^H*c`Kc8DZAbFSOelVX2D}s?r*y7UB+S*;ixQq`ukqn)$1xoj70PgTo&zOLWd}b(d
zWnB=-yD!(%KMj-uTNiXfl0O22eu^Y=U_)i{3ujDHMmt2<8Ofui*r<auFn(IIy&b}a
z3wXrzlcmBhp!1DtU5J}?>ah0cf*Z_CPW8pJxhUZWYlM#Z^U3hN2R9*Dz`v2S<n8K>
zkUo<D&yX}fhzd@1)M5lao8%J!b9^T6!BkAQ;ujgP!sPP6FnpAF4}0vGScPdJakEQ?
zJyuTLz-aV4B4mSnt9{I}8n{Q(fB5*+&L?Am_AQcj{4X+ahd7cj(IGBT-lU0{PIxo1
z)X~pn9u!0$0Tcvh?<Ha<1rGT$NGFCiIS-c)H!}TD<ClX76@NQ1uH#uLU=0%GOB`<!
zm9|x`R??nvuPo!Vckt75HlH5fP0ZU`_4H>V9%OdLjmvj<i|@tde!dh>EA-++UPaje
zxc5)rmEYS;G9>LcBzH5O?lp<?qGa$vx#gmCqmvDG3o?V;9c>}+XAc}4MB&2o^6;bR
z+IVBzSG=v5qr^H3g#%ELnPk!z-8S&nM}l$Tcr=*8`!*MD#1?L(=KUBsLXY0P`d8B2
zlAH+1fr{0-aF&|fKrlv;@zV3wra@udJQm$X=~E;ZOsX{$zkdc0q>>n?RkfuF5|Two
zekx61%qenAI_+4NN!+;-T`JW1w24cSH1f^~y8p@Bmeb`m>)mE#ILJ>M?QZ2vj+t2P
z>?{#>(`MBiqwWfE177bw4YokO3pvpOf@J)$pw6~LY!F^=@>sk>=3%khuzFSe_@=#n
zLp6Yw=%E?>%&dQq%z@AI>FCF)4p+?t8Bj{d5E?R7N%}Qm>$RReO6xCiMHnYA_Mn~6
z)fh=Zju0usEaWH~C=#B(OI!3>K>dT1sDGU_fhLlcqEPrNZ2qIHn*}BQhqlqiXrkVf
zp>NBuXKs=BR?PuvBtzR7*Mza~d%s17Om=El0S#IkhW3}HA%wLt`erZ{Af%rI*kJ?R
zFPZ3Nr@yyXVEA#GuD0uEJ{{k-S){>UPYsjt-2ndjDs<Q4c&XFJ4pYBWK5oMifsg28
zj9bZ9BQ0m=GlnXQypg~Yv3fNbKxGPL-_WNDiI~^Ir(j<?wNXvRpz~r+;zY(yf9?HE
z3{{O+g~#gVzNG}5Y2=NlM^eKg7EOr6;~^?ar7k1L59N#LUbpxD?=l8u*a+t}`!W|@
zA7J-?jup-a4jO6b8~A}r9-m&spMsYf+?v)r!r`iXV^>GNGJvSSmwFk@dSBW799sC=
zh2lzY#F0OkoVj5AOTCw1#rDMq9^2;Vt3McVIq9}%z1lnMqdFhn*yXo4oSrP61YB>K
zXtDDQ<E#yLJ-dO&_QPxUeB2V@B*7ks;!m+pbPY`+3fLFJ9w>72ak5(J8=@j_mQ4mY
zZEG}>Mpxd7Nc4ihk6sn;(Bkvubi0VgOipyHVNZYQ^G~L3Rtgop4l39pepSm(i?i8e
z1o`y@Was5cZm2I=VI%D>=#iLVGwh$PEhkPmI&VK**YfYfH+>-dmwP^|<4uf^b^DB4
z&O$?B`wVX81nI6)31#gp!Bkdsbz*eI{M{(#OSEzO0@Mx{VFymT^0f5^$ZWBX68MSg
zXKClBcMB}vwv*Nt>fB`KqkpOxRzMP{-YHpai3a@)P1kWckX0bPo3E5P5`f%qPEb*_
zO(gbw|0w#?C~}S4D@Iv<7X4fwspYSUE!|ok*|2pYVl*H=xVf)rR@#`1YNPu<c-=;s
zB)SV62>g2A<3m(jOF`=~u_I(pi~h@lE3BdWb=HQM<+@gV<wg(yyEMsXH&;KPVq+I8
zf}kTV$&SLb!MiYDU99su%dS$wOI$>zrSrnBRO;W%JdiEmM&`O!#y_X6qboG{Ygn*u
z={qG<IEcEiurNlsu%zrW6?d_yGc<eA`uYPMk0QF#t3>>^*%`neGU@1}NZl7kiLVFR
z>$AOmdt>3~8a#>C0d4@e0q#{k>P)k7hUm8r#JWWmogxeRs?pQ%RU>RT3)$zac#mu$
zWRf{98&lkTQ;tI88x}?&kbK>WpR9ipCh&4ItqQ2kNR6$>UZKpt*h>jfYuTaZ<>KnB
zfWxfGj<I)Ve}`AljLcgAe(eZtZfz}Y%~UwX*009mp>2sVq!l>V#o(_#2JFpoAZQg4
zoyPVw4dZsypQ{!Q-NEk_av5r^yIoLzo$9M5j0X<yuQA82upF8zye)ZOO&ad`v{uJL
zAbCW<-o9qOq9?6ZOyW1lALaLwGY9I>&`?!=NeSkvD-WB$`ayxWGN4@mrNyBbp)+<k
z+b%VuPZCNaPfr%x6*SGm&h8qlewftr%WB^pH8wW3%5na1Ha|(@Wy_8GjBa$U1}nda
zNOWtfq|b8D0tTD#rW?uh1+7FVA^K_&ObS%AY6su|PH#5oQ1d97>!Lwn^vYz9U2Seq
zqqZ<y9dDlWw^3MZLwjL-_%E|%ZQQ7^yOkWHTG^3_Q)}-Jpkp*~$k9mev7wZQ7X4lM
zCgVPDJpC~4T0FN%u_$ktVd5e5<~jAUg<043F!fT?c=*<ZaDEN@GFBhe^l!%p!k%hK
z825ccm}ijh?HtOVxQt`YT}qbml_hn}#BR>7UqmIbnAcQ!M}9fAb~1uEk>sS6+6qd9
za5PbwQ>fwifLASLAFHH4OF-4YHjW23M)%e6N$ga8;eQL0_>dHQFPi-)sG30kZzqoM
z=X+T~Q@%hXtyG9M=Samkh-K;M7GvR)A9+xKOhsHyPxe=JQ1gXS>(3i6NpqjazH-e8
zJIBHVIi$7z`4u6_q_fuENBEE4pJLr)4Urf<{|wJXzJ6TY3K1$_jdICOe^go7JDqsc
zvn3Ti%w{1!cFcUYdc)mZBM)jXoE1y(85tZ8g>+W1SRTU8F<g8o98nM~zmM_T(!EfN
z^#}ZSMUpdVRNmHMd<9#4-e%T{zobXPLZ==BTs-vE?o<@5ZJD~m?Y}rNj~u9>?GwNc
zHp2qWU(~OBvBx|qOedkYR6eGoqs=bGHKz|+;2&Drvj2gfY@=O{@5F>c5{bjni3+`J
z`)&3sp%x*2@qt?LexI(uWA|yaBSk?WqWd^n3-}D<WIS^s<}uFHlyLF!&Mte(q*YWZ
zF=9y`l_+7E#zK+PhHdvE0-0k-8B=bGG^xFQ4AQsbu#l-IAeq2Htb6kYxx$}4KRx|v
zp`XwPA!doG7@vy3+$TfbJ0y!Mz*OWSW}6?z+b1<_mIv)bB{-G!c9#utYiZ&OxWkCo
z*vYaHSrm=nGsTYB+JVn9QDVuOK&>i}g>@Atr>qJN;ebOgPNYrc=cf&n@&D$)cr!e3
zRgXU(Z7PiZ2{~e0(U)}QoKKXp!$=owjT>UxN?OiJv=vX-`SK<}+E$()O4=@M<QtX%
zW2YIg5-~dK6$C<p3-bvtQ}xqx<MU&o`*&`ZDE*u#t_1?S&+2vAN0pwFEBAolI$0h>
z9f2+su{|W9%Q<su=TdJspzxO)NaKG3*%_w7-&9~j1AM9l$LlT^W!slzge_BHXWbuc
z?2?JWm}qVR(lZ4(Vq%^{+_`FI%KP2-=#~3~r-=kD)ayF^r=C<Y>OTB*1;(^~F_+x-
zE$9f>VLR5XoVPn%|E5aq8=*cmYtYmx$DV#S3jRTsKaZIB)NXv4(-hB%{dQZF$1Mzg
ztjG44oW~|KazmW0Vs&#yNux533AR;DVL`gsi4sxLv(JfFC=FW+B&*7@XK10s?hEuJ
zO^XVsn|R^W<^qHq!~~GlK80-RCTTI%Q#&xwZ<1&auiW0beR^Bkz0~~NXGOxiP<K__
zC-d9}g9v1~+Wcw{0U~$PPTO~`5ue%n&8C(526^b!1LjoF<u=R%smKAj%_<REYiWK#
z2+ng3RQ<E~YQBkXc4SFT#+%l4>_rxgBl@LtG3&G?xq|mlIPs8{QT^ii3A=!P#7mOU
zbAUmkvlO1@5%6L0`lFu{Y?x3;E9O-dD}7KOK43ZM_8-$D|9MIOG?NWg8wpy+pWd)v
z7*Z=h4qN8J>=&||cd%#iMwfejgX!{JR!O<o$cQeOUh^#C$gC7H68G+nK+_?`@CGDJ
zLaZt7UZ^o9z@D5uI*__NhW^J61{RcIRAzQ*8#2SK$9#v_HIG}O=`~H07`J#8S-&g5
z#wx?WJXiJ~=WK;Ewfx{~zod;07e0@MJ|?ZapEnR$>N3@kWmy5IsEs?S##{oVIaG*m
z^-C-lhe)DT)=_?K(go~Y3QiT^)5h+g54|;qOKd$YvUD;Y#C`c{KJ~wlwd-Y2pqfti
z9wkgOil|~LZgM4r+P|fv*S?Qg`}tDm;<v{VTn8(%RY&I=lV$cKCc}bxR~vqs%ymg&
z>abrNS6-y);^ME|Tf&>S1E^&v(^Z1GB4s2jz*~+rvjtR<)*e`fq~t3fnfzS~T>uR#
z#k%cP5l3dN;U7I8-`|Ri6-3Ir^|e24-+i*stMJkg=`l$phb$U_UY%e+CyWuOj|!`X
zYBe4Sxl$jsD_$NKbGec$Ar0lS?Y1JT$r$dsHM4&u<DkacqsSEvC+r|E3`Xt1@CxgT
zH4GxLi>EeEcV~0o*_<cT-!0iHJ8XH^KX|_XpbmC=(<2M-BtEemtl6*;=9!Lu>YjRw
zljT~p<CP}oR9P7p5LWS(YEngjB8N)We@9N}<6&3m4~4kA*PYY55Z8D1=)rDm%F!06
zTkNT=BXO|OR?BC8VW>Y!%d8j6-*B*8>9%$Tz?R^YHydozMASLGD&v?-9pmBC#;%pk
z>#+sCv!wr{hT9`LGhgp9bh>bMb_6&5%pvi_p8iQhtvDwDCTP=0<6rFa*nCDSS98xw
zd}~Ol-gW(=HA^OFA7JM}!uI%(elj4vn(Tn5R+JDzKMCs8T<#!k`!_dzh6nILtyOdM
zg8(>p82p2@S<t~v%|gtEPX3sJH~B|z)ra){^T9+{=QCb&dp9AYm>)OdACz!(D6j=m
z8NrT2SRYs>(zP<VaD{*X-5>kb4t1tdpBL)hh_mQ6|JfdGkqZTRyHREUPvdQ{Hp!x^
zi;Gb6^MX4%Tj%<{={VklT5{zM?v+uqa@AVha5{eM?FSAxGqUdcAzM;E%6VlGtuuiF
zpc3CEtnlDjmF<N%7g2I|*`35D8)w={LYZwi`;r>32t1!Gqv&zPi2RBdD&#~>4tuc$
zCyv|zO?`Ko=MVkUF0oWuvuxt<jYx+T{!)TzE_Z}JPXjiRS0Y`{h+;?V0<A3w{Nshi
z{vI*SQgYt#^x?bTf`zxlD8vI$ZHl;)*Q6Fscj7s3Kv)VMZ3xe8^G|dEbZvrCje=TR
zF7$D>tnq^Jl`toB(pre4E))~e(I^;yRn5}ACEnX$0{N+%;>A%pT64%DEm%{)4lzuu
zXOd68lDRpPZ1>s0|5M?aU&Ky_K~-Aak^ch=>WqH-P@)%Fsc3ngY;ZU@8Rdm!K%sg8
zA>T|0-%2HHpWaiR#zmV4xw#h*?0|zrvW+QW4a`wQEjL<IQo}}&nfP2gob?xz`nJxl
z^0ob8zDO1npbW7XIC2;;)o!a&<FfnjvfoY{=DbF5Kc;Ec+!7$nlPD{zF(O*mTqiNi
zl?X|e8~`lI-w#VIP_(S$yE^-(jFa^Ld|5{xJYx}N^rK%J!~W`yQ8*cQUxC~SFYi0M
zhLz|LGaH%drfZ-tzlB6SIU0#zqqsn1b+TH(sJ!=)`B8q%CuBR+0PDv<b?ZUcgf?=)
zBlMP+A6$F!^86{djJBqc9WUmiRu)7BYS-cl^Rhs9rm6{-jKT}ZGKo45d^SHGrtw>j
zFkye=n*{VDQ3NoqO#spt_x*Ut_@<)d*9Mb+YI0f2wEZXk^M8fiSq}xKMfnCQEs?Sn
zAq(vgCao>i+7NT`TN_;NGuRZuE<oVSe3Jb8>MPnSed;pt*!vS#{xuFg#9qrpqjY^-
z$1or%ukRY;9dt&YI*7i$CQLFQ{;C&E@D$PIAi^gp9D8KZ8qYNHyQDD2$@=82c_~Ik
zWyVANckD>yDnhXYGb$Oabc#^vN)r)>baUnH2)aAC6IOG&=+h@uH!c#tBrG06;Qty@
zr)H-m5KIWW<mh$Ci2fwEzTH502ui&bVlZ0#Q4;IkoD?2cVrf*vokkMB7+(9k*r8(z
z<+a_v0L0KrdD)EKSCLaBW-l{(wF&Q{G_z#YzeJ=cKT=xNGvJSIY|bOP%C{bd7FQ!r
zgoCzc_=jl9pz#NOcWdo8!lyBuZq9y0HmB<8MbGzZb0MmP8@{t~uuoYt&m89Yrd`FL
zu)}eVGmTMeUzVtyNV^Ec@57=Wzi2*cmubN8$TKXQ{ZUN?-y=9Jzh5sjcR_qJ^BfEK
z*(}F_7Faah-w!aS=ww05r(Cu^y>^7xaT%D3>d8+Ithu0okv<~(Cu2-v!V&8_Y%m{Q
zhFSk?>yw4I-foXAXcwXNZJ&&8NWEXgN(Z6-U=F$&{ti{qMlLlmr@H>w787}=2VIez
zD{kbSmN9AHy&Zf|0`F}qxnnyk<>>c3ajuE#J{~%BH9wgodsZM|5^wrGZCqwPKGtT7
zuX!?Y%jP|(lqXV9n5I$mW1^2rfLTtAV39R#nQpYqaqPGr#po{60uxE>NO@Yn8LW`|
zyQqH^X`sFb#S@C2+=&;G{qo-NKyc#sDK)Jt;nBR84;972m^ysVqTwdr7Hdrq6@7~x
zzlKh^K!%F_@DS79g}$%j&dmNijBP@_-M*ZdbXPVJ^Eputlzqc;7wX?WA*eC8&={6T
z!U^t*pmWb2K+1nWN>y(FK#}S<?7zpIS#?y&;p4j#Gy2|-4Esmd!rOxt-?D=<Hqbv&
z-8{0vSuEl5L#h0IkB=Sx8xeGmS&_i2uVIzL)^)3;&VTVSh#|&y@rNukMenS_!FFys
zwBvwQSxq4HFdyq?rJEZNND%$xTlOAEq;|R*Nx+wUgF1U82fAX3q4on`3bk*xal5aR
zB1^@RsP~jIt=$Tauwxf*xsQxFf#6F~5jV&YdbjQt`vruv=`I%Y8C{f%ao@``o=-ma
zUB<Xk{>o{AIzIPVek}i5;qm`pxmcAD5=bhs9<94;xT1J)icGU$f*<kV2S;=@p$zjR
z=2^YLB89%0d~6EWFlIO$e!23;HYRM4I*jY}rF~wn9dHXWYkbKH@R>A(?P(wM3)wtf
zYMF}9ujaTJaS+jcNvNc+!~r?Idg08&IcU3xHU1gti`g(&`CVE8wL+A3rVf>W@qwH{
zhU1;qKJPJ~(aM%=0Q4r9JW0k}mjE7d*U8k|NK^{dytg&2oU4bfeTY5wErQHJx35be
znS<V+tBAbH2wV8y*H!bO_<tg~v}aMH6Ea5{6`QT|=?8Om;bHf2Vv_0=h3P)DbKyRw
zw440cV9-&uNPF$HN%9ljmOGa{`4|Y{@J{Kqsp0S_H55IWaFp6fj{g)qv41}%(;7Bj
z5!7mE9CnNMLUeX1B;^Lrxn(hc*mEB#My4SlP2eUfgSfUZJ$x2SffPpfZS>FN4xd_P
z3fQ@V7*p-fM%_OgTKDN|5C{|$OpC=%aNZurW)b@C`f%{jjUYQ5yva8*>$V2noFk*6
z(?&decM6wKj|%gD)SM&xULq^(w`z+6mysk6exh+5l!O;D;YBd-fWR?2*dN4JqtGA0
zg$z|o_i6&Wj7ztesK%6^90B5skUf0{>`wJ6g7qwJ^lkQA`7_~cmM8eDI{LyE;=d9O
z2gN)Wsk);@{HoGbVXr#8u`6AJtSkUaepDx^g@rUo|7S)DP=de31$A!y6UJ0o5|-R^
zg((m%IvD^+CRvt!`!>A?Ni$MVJ+n|M*ef1j4pX&4uXa3Q;&+YJvOz*bMVK{w7O%(L
z$W>O;rbN@=CMDO0C}m8@d;PaHhHA1P4^ZE&RFDV}CW~~aoL+M;M*m4614iH^KQA7a
z@**L@$^JyH7zjegTUCqWO3U|XeiZCqnYk%J&@q+{PVFX?6bE~h(-YfEyHOQ#S|cug
z35Xxz!>-AX@|p?&!e5j`e~(t$>VMQdQ%p$jdpN%LvX4VCvwNtKHR>VwYZ?Mt82n1G
zS){^wcWgY&(<X}N8sz6YO4_DAtj$onfKyqAo(vXQnWkHDALgleZ7rmPj_S#U!Fa{f
zFS-(4znSk?`7baa_5ln~(vI_XbReukU^#wAj|b&n;gQQE%j1&wx5rMJQD1dgcmg_N
zOK%h?w559DVEU?`DLK3DgDSrh`l~aJ#-))2T~2-w%mvYn`Vhe8CM8Yu)B<K^qf>YF
zsGZ8J_7!c<9j9N#3`vB4PLM}}l3RpEKEWn!Dv!e$02xxBI4ZpkVZ(yU?z7OrYJV=j
z=|seVHetuzJNk}H{EdKK2^odFOOt2bjDs##lb-bM`!5h)*Jh7vUd=|x9>-eeK?-NY
z3=<QO4F>)SbgYaMB7x}FjirV}u7DaiiE)0TKnK~_v(~ugZn97BZdjX(Dhhlq#QVsb
zb*LMAV@B$RcxXQjt+@D^>|krHWtG3#=f2oxzmvaySI*NPd_MPP5~vJc9CNX;_eODf
zwIgq*D{bKr+M+BTYc9DZPNQ6`@GyaT=1{NY)T&RbA$E8Z04MZauGDVq<uBv}^fRu6
zt38#!-bn63R=(KxCq3C!bU(&7AK)0xQemYHHw?<yn{>Ont=KjXxq_xfI^o;=7cIhz
z)FOzX*=-u48D>=D?^8BzU;1ED&Z;6st{yPrrM+7e>7C-vYDtLBiukW&TxDXcfM*%&
zjvm9LYnSs+$4!9l$yux-(c#kV-c_XedC?VMV>1V$mc2y<got1)PYx_MS1PnsM@Jsc
znl0tUg!FD2v5vL2+NFtHeS0k2Si-#giNrGVRVAxU&Jqq`61hLsK3OJ9a9V6J4Tkw-
zbWttL;+`gCWf(8Oq6U%;k#wYVFEZ0)iKUcUp0(d>Z=CDIZyO0-%>T1bNGP{F(t#rr
zBbtj}RO&3utL}hN+=K)I&=9sObZ$O>NC3B@nKwj22$`M}m~^Yx(Hn8d*vj6>cTuAs
z)Y^9rL}Z&f&V_{tQ*FA=&KaP1G^<Y6)saO<bl(qwfCJfBPVY2RZ=dns;}3};7t|t{
z^fqQqfg5{eXH$63J8cH9%|x@VmdW);g7Mc$jko;7fk%uP7dt#THeD?eaYYDfWCAJT
zQU;B;V<wQBsqT`wHLM2Xo#N@=L=Gu_mWB`4iBr1;|Bo8UK>EZ8j+OQ-O78^!2c^=V
zP)QhgLwdLz*IL?}v=HvBG0eSEE=>mN#)@b)sUsa1RSBKxUDoT<Y;~<dZv%qK*VHsL
zhFA1ANw$=b#ZAYHU)$oVtbP7d{a<B+iEQElnJ^Ae)NSH)PXp7~2Jy!(jl|I#Ek;?6
z>0<ZY#^o9n(GOGPE^(?Z1STFK-?mkda;m2~5+`_#;Cq$U^crW{AtvMSU(E!n)F0Y6
zd||VQzO}_lXPPk?AXu~9!1DY+2i3EtO;eWc!w9^O7-Hi1@CWCH>>M3eyBOZ%Nev&S
zRM!5$UpP}d#M9{&*bE*zW~=<9h<+M#KYetM+vW+pXHRzLX;plxN!0XWoJ9M=z;O?$
z<Psw~-!h|L<13!9<2Nw&SbOD5u_gQ3Kjt)C_Ch~ei6-ng7i1Q{#|Iyd`A&?iJ)yNW
z494xKp-f(TrBVf_k6je5NhHJWLkA|8>*F`U!{3dV$s!Znf7J!D0B`(<68SB&UDbL9
z6p~m4PvCqKc^u5(R{dBkdl29nc%z`fwWLJ5?Pr?V72maYymswYw92P7?fnzH&!5xX
zpOfj{>RN)=;p;--^6Id6;f!mkX+eoHLJyO3DZ8k!k)8J>a;X|m>`mGO{<so^O2x<_
zNr!?zg}Q2@h~E)&_Ny$5{H@Fgs!vCx;us6E-wHz;pVAf_Rqu5A&C`pO%f-)yjh}RZ
zo~(wGf|&(0`Ke5!Rsr|V&Y%BlDLfBLxm?&Cs3$^+&8@nRW%?qjdo6h?L;{RIWe4V}
za8W8S`r_+P1V_^Gwnij>5z!?E{|X%L){s;lVskFmx$z&PhKYO=1Z_Ph@9Qgu7pnUt
zS?AJ5Zf{+PIM6`rZ=S&l%pdGuXr(f}Kkxa_9+JwGrn2CM4gVvhdSUTJR`PjuW7?XW
zZEDeu0J2OgWY}Fq2^Nk?=TDOH5gi+<VqS;-(f*>F3*q`f#9+yb@^bAdxOwUPKN|9{
zC*%G2VJ&NtyX^I1DC9ELrAuT{>aLjyFq_}Se0(xt_m@-ijgo(8yWbGx_tHNuTI##^
zph2{?Eq9)t`!6PwZ*8sqX7cRdj}=woU%UP0!!O3a7h(Nggm|Zp(>{%^NIj#H1?X~$
zquj!aRAnrHXQFY2Y1jZJ%!XXWDl3^JjpI-g2qm--*<<PvoKwag2qi5YELUZt&~{r>
zU_Larr&hvYjJ61QWfHF;knnS9;&^D6mY#60;tva(LhV10X5?{zd*`=p-x&H}pd?lZ
zdjP`~e1p(7iP72f!^<6SxHY)Ft-ayT?1|q1{bFxQ&jd?2N|Z>WVeB?+_;nK-eH7RQ
zep_?q!y2P7Zt>Xi$Z*;mXGd9G184>{;RAv&^8$eC8+j~NCcH_};%j$~`8`(-*@?;-
zCKf{QJEicF9T?pG8uA9aM_9{9D*?~72`LbcgqZfhfhW%$#mZ6h9X0+LT~xh$xa;-B
zS`zKGSbQO2n?fEa9W$PfzF%1d^sBGUZDZS$$$a@H8Z-9CdF5v19z5aY0{fCG0{2|R
zVISq~Q&*YWrq*H{JP!ta$6<=gL9i)n9}oRf6$pkYk=5d$2L{^sIlPh;7e@*c22mB2
zV+DU{|0ihIpTL3MG@_0xLFVWq`c9ZPyyDaoNWduOiS~7TKfE3Zcy#hsD6X#`b#Z=0
z)#Ff1Xx*P0Thcj5Xq%g9_!q+G#P-l)X=3(Q`ynGLZeCuWr7@IMxbEXK*yTkVnCT;%
zoAWw;`|_#a=a&`v{Ni8<k~BhXR(?sDm^Cl9alIPyO4=nA5qBbNdEJ|{w<4@;TgTbj
z{yI;1y4y3K2pN(;)$<@X*AzEEF5(3$RquRA?yc~^Lg#9N0|!DNAq-uv=Q>B>q}PRM
z$rm44NGCGJ$Uz()u(H{Pj-=M=LTQNu8_YJ{N~+QFrTUE@RqB=eLvj=?O&`n#w|17d
zUjt!P8IqdW6GU;%IXABJE8%9_Ee`t4&8L7c{|sHD>iCz&z5?#(vUQXjxz_KFnBqO{
zRUJo^_GgCRosU)l>9pP3Cz#T78nCu`Ul8kTLf;AYx(Wyf<QlQ%ELXOMY~3<*4yZY_
zMmoxjE=sA&!h~-n`pjT{pII@?J}Xw$h;csQ9bpij>bLgc99X#FM_-eVAP6Sefl?wJ
zWTjY2o8&QhpR1?t4SSW`D1Y~m4-}9#{6frdZo>R|C+T-nsSDH~>)dY~-K!_l$AyR1
zH!f-VCC~4HUo7Z0ZKOx>S|cUi8*)$tqs2oH*q`S1+@UEL@ifOOS^}y+&Lb{8fv@)c
zi7M#=9`n*V7wI^SlK|CT(s=(#Ipb;j={dt#<%kt9Xr6d=oIhoQ4Akf|9(7;msw|y$
zj2S@)kk}a$v-3R-(mXJbu-iyN(VHQaJvJ6@pk=`r>Ok~WDQ!W)fn`}?avwO${6baT
z17+lIz;WjqBhuGGz6RV|(UJr+y)21t*fj?BJ#`J4?sIiK;d{JwXz5f<_0?7+6_y5f
zdqpU$<g+5!4;rUZal69QTf(*9oJf!3UcDi_9USH!9aCSk^~b>;)<xEUKLq%$bfJ%8
zqvnzvX$8RtNG#q5oKUNZx2WtF)Lj#5gs32ZJGz{n*HNYPNMTML<WDrlL67y0v47MU
z_ce_Q{j<YcD7T{QkDp}Xlyjs+APUq}J*Uy-sBY_<Z-ox<)d3I0^`ZZEd`G0^CR*Pc
zB<^QMfFxghHU0dC@WS}f81_?iqWI6_Ivo+!<BkYh`gp~saYhUMwby$yj*q@-Jn`+K
z@0P3RYSsK-ht%W#glO^Yc#EYMPS}f)7|D;8H@&{h*A?QcqT~K})!!xth7%bst}d%i
z;2mGC5sBtgZmg6FRrNHh;k@*O-0sT@n4oVRVebai+H*x3vIXhpsYXM%$WLzL&i-NT
zECnC>1mZ%FZO~|$Ld%qsNU=_gJa?`#>E$h`T06gq%9zDgM2_iF{UKDkqgPsffni4f
zO~9zzty7($QZ)Q(oe}9Pk{1?o1h^LB#;Olt>e5U99uE`5FwuEsaYK>#JnI2J4=sOg
z`Qn2)iO1F4ox=ykk^@onH8QgLQ$lIi$I0(q7-s`fs<Y_mgB;QsPqtJ?G#NXsL2!v&
z2JbZ+Rs(9;##?|qw@UeY3~Em;()t7YhVzg}A@zTn?Pnj6#1KvB*HOh4I3eFoXQmn!
zdR#83=xLbITe_4T_tsplg4OuQR8*T|wEW*+oZbYjiDi@0VB_e;RC47zSU;XVJcqeB
zdxaYVhifp`e3Ts;&7M?J&&Qs02fU?gD!04-iG*Aqf>x%aP=^XjDrB>%cC^9L#{i>8
zW0g*FZ|kDb4~mjaKB+{Z9|;WJCyMn~GD=AeUwQBuy3==~`gn_6Djc7v*GTCmjq*KV
zAMr|xar2v10{Eh{#8t98Sha>Nu>PyFV5la;LsZOHN<st@0BE#-M}XO726=x+5}lR4
z(U_0*FMOA7-X7b%f*ruD@xy4bt4x*p!hsMklJG)8=L1|fNsUp5*o&WxZn?exi=dGf
zGrUiqri8n2d-yvGsZ54PS^0y*j#RpbkZ<U+;V;UMM<*Hm{xl?ScYtTU(77XMBVj=x
zC6%O{?7kmO9X&s;j(&mzGKqk%)=*A(%#A_^82WVANl(BQDSH+wVQyrs>}-!S0$U|V
z>|V()>34t$V`1nBP2zurS~Faze{gJSRZHoJK=ObZd458;AgF$>cuFVKg?Dnb&zb|m
zui7ON$^6AS@v3*U-2Pgv*wtc5(&PeZ<KJSd$D+q@fBb1qt(aNyU4n_E@s|jM9KU|<
z*X-|S+YGZJXAf!l&0i{5|F0JSK(Ui(0ICbv!Q8aOUprn30C^$_I@)6SBEkVw83x1|
z8@|1i>dBeG<U5g+e7u-Jx}*Yb(lg&)yB@9~%C(dB+cZSrl6r!LvH_HEARUf4|C~aJ
zRq(TABgDUq4avi$0>tdf19F5=*nks<rk&bngQb!II=|w+>6Z^P=WJGRr{Bqf(@{@K
z=|r<X?}>hp51beNV32AV@R{;`4=pj6STW41tc-bFP&)i-V`evhQ2plfSam(p&8o`A
zJkA-sM_UbO4$6>O2qIq1AnL7b&msle;9vp*k*!VXukLFvEp**K@Az(JB@^vv+WESm
z0I`=m3sLHPCY+<zlYr3$o^>kzb%re}{@>JdYSRivjSo&-k)c6~w;}NBYLZQ+&0GO@
zh%+d!Gz1kp@?^>W<(ILAquA0%*y)FFgr3MYT^=R;7#NVbL#%;2bCX>H;6Y4=y2JL#
zr--E7UGgDtUaK~fh*X$-fYz?>KGsQQ?i1zaQ>J;e*$sHl+l98|ysAoOS=7Idz4S*)
zFs}gD8DV0?OTf#58I3dyyz%f7Tyj3~EqU;sko6RMDmLB#y{!rv6{AIZq)@B!<4{Xf
z(%(HWE3W4?-|%B=Kc;7nu9k^KE{#)q3K>9Lhx1{kG&nC=QHW<?08dFTLawpKLV?sn
ze`BY>^{@CDk}VdpT29OYi*&Ka*C;0w=8X6bmNT?aJ(jd&Oq;f*;;>q2EJmdzazRQU
zD+Y88WI;CI;PdRWu#svA;BR9k6jSHQm)^+?449%rQAw;?aHcLRgL*cH_$Xmo#6%~n
zCDQMe68XRgYa+{3u~`F@sq@W5<fjO`<$M>K3NRZaqCxbLSH=VaO@vDw3ryfWjeW<j
z@(RYl)UVFa56n}`;|__)Cr(MBq@ggGxV2;*8pShLI0AXC)sziQ5*Jop05^s57h5sA
zV)eAkSSIV`4_ID8+701I;8;Nt@;yQDL_!$x{BK*1+<pS(5Jq^o+nNb;l`|HIS!FTQ
zo!;q13>AC=p)KN5;NYj$%HI0Rfe0udrf6mXz?q04Ehym%fDkXEBf`Z%Xle$(7kj(S
z#ESZN;rH1bE4D|#JH%^=yW;^K&q>3Xl-}n-MP5T8G)ySO^r7dPvW4Mxiey8W+SmM`
zdOA5PE8-naI)(`*i(VU%v^I!v<_uhXibh~v*<3twL9c<Eb$Ll8UWkk+Ga1?dc8&VS
zo|_WqsorphR*Pdf0Z^ZqPElOIE;Bi+nM|TGzO=sX<>9hF-TtJ$b`T15)*w%Iqw6d9
zM#Pd~sJqz=sk(l$V6906-cU?qpIhp!jTLM4_a&lLi!)^3hgL+@v<St<cZLTt|7Y4t
zvdTLj=`GW~h#dFYHx^(mp;dNo;LUZr)*q!Xmz!2a+O{}LcW_aVyX#4W-6-bHyeP@7
zHZq8?c1;r*IQgjjU5<>H9{Edu83-}}J8>|MQQ31;s>l%OPflt&vlZ!7Gy-pQcj!48
zI;A|E)n2Fd-e(A|@;ECLR8iSv2xUUNN(2L8R!*Hq8DSF7IG&}m+7}B@sA{ZaAI2%N
zk~1UT5g@tP(Bhe@1GfFXtLXo1*Gd;wnbGqS^hk#-{^~3vd4B#xr{`QOp0d;IR*5WY
zjgTQ@wIFg5e+UnAtS=GxeN`sGz<c`S4S<iy;t4mwA7DJ)O}eY*-)28!jhwwpHQMOn
z;uFBj{*>~ZhV|-=16|&`k<jNiRvuVOG#1@1QSTf1Ui9izqgimqO{KV}UupAaNJLtS
zVrkRIm4=aLD54%&WT}k(1ST|it;|ZDzb@wp-LPnjEbmJ5S9=gtf{&d~)v<iao=C^D
zKkH32%Gn+;^QYp;MUbbtq`BJYJ8|?SQ^_Q1xM*2iD=Ll_5avdzOHcHAN5w#MXjBfG
zeg3@W9PwFlPx!msga8g1WRnrJ^a1LqSs5We0JJ@kb9r{!c0nSo$|$n|PZT_?hV3)?
zl2QQPSA?*pXOmIIghKs9V;YtM9WgtTl4P4~gdM&(9#`JfIY+W8@6bx0-_+&J471^1
z#sgGW_=%EqO-L3#8uU!KnLT#mT@a?R7F&H^EK#Zi@Xk*+kq^2Uv1`Gq{xqPirD_Wo
zlgQ6jmy9(JC0^fhNPQ1e8nSD9Vk#M=A<;RK^a$&(!$}7f2o~86wP{dWk;4?_@6duZ
zwSAF(U0PTsnQ}w-hm22XuluKl;KFN?U>J*mfAgw{wsp`B6CfN*v0JISI=yqDoAgG8
zoXRce7`=5I&b1_3M`LG22jNWAXnCmwl~R>y!hd+8lP2mYJ9lWO-TCoHgIQhZg}Er0
zI8|<nEE$S}IUCBUnte?wK)ysaju5Yr!ZIF21D>b`U%j$=MjLvxLUnu?jDGlQ&Tbz2
zT@MF!F%5A5%U?tvc?}4W%kX`Y)JeviHy3hx?B>`T9y~<`RsS92Ic9$h2R$ifJE1T;
zTlux1RTqi+n)98!`fHP%0NVa9gE;A$TJ&V$Aky4!muBV@qbC7wms$pCZmP3k#Uwr%
z$nDo9{8?hDkTO@!T;JkD^0LR7qMff5spy@zGiS5|z-1a&Ur~r+6*{-MKOf`QgiG-`
z)_0XH^DIHHtpMtW?;uBN|IqCrjQnFr3sMRYve1mQ?qJTFr#zjT7|&$PL{{G{)FMW7
z9v6bEm|IBTA_j>CZ1_H_tdhi5X2jd6Dw*#o#$G|cUkQ~_rTiQ<>(rmmBs@_jJOdD(
zHL)N@k_#H1+8v5K?0A3*s`pt{y&KyPBNdl45&G^UE&m#mi|6ZZAGsenU`TAhlj`27
zC-1a`!9E6uNSF{H*#J6bCLyzR+Pxd}W_Lf`!z8xGQ;uddE42Qu<g2Q&`1W0F=wvQ(
z0PQ3wD(*TQhNLzf%=!NL&)8Fmd4Rp1u=|5VCL-RIHfut<glHl`v>7_J{HGtt3D$CZ
zXt=_8KgcbJK<F+%btdvU^&Hj|!>zALQf4a1Xgz#!K0rDqtYANo*A@ACQo}j<vbZHq
zGMOkD?6DkjW~)X1>KqD%=4+DAymybUcHYAr78rR*i9S~bhVGZg@>zT79mT}-@jkbO
zOONLq{b42iHF{l+n|=NFHJBzMeS>nJ;ii7(V^e^Wn(SRkI#tpDtcNsc{u|<}0D)FK
z8$8EICywXQt+D~};(@XwU)a<M8v8je)BB_T_$DffY^qK@Yk;v0Sw$!Vmlb)vVST>z
z%h)950UL(@$R=n2KpkpmffuZJc&3)n{2Kbapv7dpUM76uH34>Ptw1L^%iv;OYcN4%
zFD^EY;6VIBL`%Wa1($c)Z>jasYO%lRNBYosMWkI-7B|`F#FDf|eM<IChx)V`E^m&>
z`#bu0!3i7L+YaR7NpuKw^(!LwEhL?Pa{C(V%u+37F247DOeCAGehLx6h_+kM9Z>pD
z*^4;@ip3EKoyJQz=CKrUZc({9kz9E7+aY#D+JkPR#Ydrh<rVX>>v!3k+G1;-c#TW7
z^{7fzTDlq$Uiyg)Wh-auuM;xLC#M}@4)foRY5nvWV_$_4eXXK$Z89{c6_-Ej*<m*Q
zpPl$WGi6i^czKI$R4irN@bC;y6qQ!eEv%OPI6t_{Me6ETJ>Df+4a)!_uw$(+$jtW>
z|F=~SsZfDe*uN{r_^LrzJD*tOm4IEHm^>N*A=R^@_|r5!9tSPs<IIB}{?~z`MM0sg
z%SH)Mn(;CYGI|$nHRYUU>s<sQQ|}uOQ0|WBCW5df?TCSgN3?(`Y8f&(wG}ikC!C2A
z2x7O~Twl-`PHw$W7ghg<z&By)FfW<)zxP)_nvjqmsJq&&9m5VP<c=vVA)+c~=~}Q~
zPQ>6k!-9$3<Ch!nOU^*L;HQW<-*pJqu-zt~fG_2AF)RQ39F;!dcwl`YmjNV+jX4==
z(TEp_+WcCZ;QN|W+{3olOQO(pDG}f+qhx;uDe`$|q%xPCGO|sP@ZnZxr`IvX)=tX+
zJ7CJ7%eE+M0V|xo%!N@*s4Yz*{?vs&y|==R!apXy^DuGG=noQ#s04{2Bp-_O6as(t
z%DjoSPE-U2i`K*hQ#{Xee1;R;7fHZM1=rZ{Zq>P0d41xAZ1PMbO^Lv2y`!G%F2W@4
z==EpHT|E+~s{W=(JpWDxa&+LLpf<2Zp(EL<Rm<`}!pg7`w<6HOc>Ltc_haQB>r5iU
zePWHArb)R^WP=*1zT)68QV=i&ZZO$a1U~jLW|E{C>uk6uO+Tmc!Rqz%aCx!!S@R$B
z$9kAQ03*3Y7Bw+51cJij8_;CX3dv3S>}@Aaa$v0hhrdQ;Q%-ZWn~SFsB&Kmf=YtK(
ztz%549VsfUJl!OdAmYWhk(NnNw9?~Z#~!e)Ezlian@zwsP$|T`z8(0S^7h5B{C^&L
zT!kfiL9#2{3KQACFqlszhGxE8r}FM{5@%n6PA5_A$`>6mp4i-4D^#=V_Pu9hKS~Dp
z;8m5HT7EF-IgZp3A|Yr=b4vWXXJCnkrNeBYfLIX1a#BR4g~!Yo!=T<o;H(~605=Ji
zA$1@e{VcvWG%hrAAn3+;52vKQqEoda-dd}br)P~FkCb1^mxi3}eR_*zNSz}}<v|ek
z&KF=xMi`)l`&+N~hbN?K@gTpdF{HAj3JZ~@gM|@cqJ<JJY!C~#-m0x{DJQp|p_oal
zxlad^MPBJLYu|~i)KY?<-bvp?cMu#MZs}+Y&1I}-OMM}Q(vW?6aH{`rgyKC%s+`AC
zuKUlh%1BYzW(-N@56Jew0<Um`CyDzuc7Q?LWWZcC>y``<S;xNi3Wu+mug@)A;a8pL
zaYS?@|1H0}1wp_@?7+1$JS!_)bkQGWJV5Yb+B2_OH)Tm}yu^-sNFYjTNCr9k2j?t4
zL@>oMT%hA*iiY&nRbXX|51eE`6OYONz@s`Bp#xY8vUN5ilz<o$B|{S!&G57}B^L0`
zhooSdZPDJgGlYNhY>+dC^g1f#%(H~zY0085gfQ1Q#)J0XI1ESYRp;|5Ie~&jLmgA9
zMv=`!f6fEweyKuYbcibC^gT5IV9Ge&_|?rx`af*VKapsCoIlw(m0F#_B-1uHPm(x7
zh3fz5cwB(3fe)oMo35R<{Q-U>(-*#ik1(}Xs;eEj4CSP@J0k4rXGRh^%F^^$$4|Vw
zS%?Oe8yB=7mlWbZH2>;{AwNr^B7GP-6oY4KsHUMIOv|N4WegowL!F%G3=;I*+`;!j
zk3>bN`kTJ6(9?CTZX<h#ta9&To-=0MQLtewMUII?gpY_3g^$5Z>PhHYPZOBiB_L^Y
zIX#yI2lD!MAhGIfXT@jRP9B`c8`3FAFR*isWhJgkU}X+X!m`xRZNwWWs7|aF@Oa0g
zL;lYRAn8-YxIeLa8y%DWceJHI-kxt*houeNKE?-Zbu*gc2Ryv6SAP)}q|}6-t0Cp(
zk0j4NDV7rj>Nnw#BuuEvH`Exlu$JXY0vODIn2k+eROCf(ycj|IaRh(ePXIwe7kQjz
znlBps3j-JMadiy8(Goy86}NR+Kcc@SCQz>-{WAaS1KFYruP1`$!Rrf+SC>^jCpDk8
z^Hb!wh*7DQoULBtkT994-BV(AF;{-BXoG8}>~>ccGhn>V7R3x}L^~{HH99}wV<e>_
zNAdrMBano21h_#zn}(Q=*|7}JHMY;p-sz;w+UZU=JZcc*^-a_R`Ir#X*e!(o4huGU
z1>V$=XuWby&k(E%kYb0E^GisCEDZ`R?PV)Y+kRtKE$tkV@LBt^f?r+Xs_x#hQDtpn
zDgC2xp#H%J>}05-Hg<}5&eCMgL63D<!}!<%7oK*BZaIpV$0riDzGB>|+TC)Qs3Uq7
zH7SMK!wZHR*w(iaXLB8twSU_d8Z-RIj(f==cf45?cOQV|q=l-<KqB)t)>37%o0JIr
zLP%OHResv($x$N0^|Liw!n9LQeE@n9c?joeF2lP%q6#C$Ihpvo^%oji222@RdGth3
z-Xj<J0hfiS?_A`|K|_@Pd01$)){2&G^?NNLa&`shEp<%Eb2LC|QF7}IiXM{GAB12Q
zkb1=^BNj8c^J?I>v+a04z=U{}28iN&&cdd06dja4L;tsniS$dqRnBzS=$mCf=*mMv
z9jwkI*X8EC$e4aSO(&600|mXcAt32!a1*Y0F?a6`zd-?7Q@~>uVs0}Mn#g|PsPQi-
zxTA4a;}j~d1fogMus+A(JAHetIBA;DTtkd#;~Z05p5@v?{`P~DK^eNi->~9dsH2DG
zV-wEI$vr~^RW?Se2~QbzuA#fC&VpIpV4bYBv2$rK$w=VW));fKBg1Tip|o&G-R}P}
z4gZHLRaGGEk%eJ&cs4`mh=S$!04f1<%qXeX*v7{cJY1w99bA3mX-106+|_vl(K_TH
z{NPDo*WnEN@ItX_VrwkX9%Jb@^40gf-VG;P@UCJzO!A!0Ax+-3=;%uuZI2AeHm3pR
zd$pEKC-5_1))qA^2dNjzv{88|oy=!}5cODDcFbB|nc+Suc2<%Bvs>z~9vzBBj@Va`
zR-Z@P<0r|3xz&#GyL?u>B)YO&TCJc#@*Ny6+qp$Sm1E%}7Ri5!{hTO~+NNPRe={Ma
zbB@S$FfsTeick&6=PUXB53VjMm~nuTBt(W*`?+-sE^CVOr|deuO!nv(k`W<9o$tLc
zm`_0X3UJ3pq4DrMUNp{NxiU_HbeTZ(c|WRg3djDXKlXJ7v6mZ=sVZ;(AKdRB)D0Ou
z{atsxOn~koLd~s-Tb4C#gTx<f!}nu%Rq71QmZjSK;?EmfmjI4rXc}{uIqhuz9^c-a
z)l_}gL@Pms<sjLkKJy3k<o`zKx%Pv;kx|}fz;b$u`c|sCW5Gqc|E<F7m_Dl~wFnS%
z=qOkzAT`Zu&^(g-8)HeLcOJh0PGt+gL*0$*>ivK%8y`t7bmLBv)$b|XeRdCVSK(ku
zF;4{dXHm<+VL)=Ye`R4)`}_wan!-Vm*fl)-u}FIRja9*2kWUXKQR6k5WV}Q&B()2(
zuQ#fIz*o&Rt?dfTT!-^q5l+BN>?;=#d)c#rgM@Zw7*CPm)Dqm3H#+n7|6c+!2o!$+
zKC*2_q*y||lw>y|()&B9@EF$h)P`A!5g-#XGVG)PAB20Ke321eWik3lHDS&r@Ob06
z@@Jc;TyMm?*I)7SxJ44dv-*g6L3L4o8|rvFyO~8Z2>GQD)5`aKRgrjW`~QtdW&o*5
zs}kiEw2tS3{Ak3cSoh;H5l1U~1My}me@?DdU#T*Qcv0>gz8|>o>0&RBbeJbOJ`6;8
zInn;2`_!GvXKsu7Z&x{~vyd5yd+7eMn@8I3W!1diy}taCP?>Umc#R_2<rnkqOwH9f
zPi#Y09L!ACIVNGu=7gTL%I^2y(J-4;pgAzs$D74T@XtvaeaV@0edm$SaaraFkBvYz
z<&^oIZ^vO&E#27v>l{ROp3LkCNV!H1J<1U3He!le6h0WhyHs^=p-S1VFy-PHE#wnP
zkpKU<`U<G1+OBOul<saAx;vz$kw)omlm_W;n4uAnmJmU5=<ZTVK)ORfdg$gq=<~kc
z`}}Lon#E$xoHO@*_Pz7k*Y<th2-SB=o$fZ&V|%?Q^&6S=|BFEy!~wxSjKj4BPJ@UA
ze5`LtTgqoEii&BSqVkdslfIaog^#@f3Hye)(95iE#4SAZ*p^fLw~#&>K@G9E$Xz@X
z+`~xuTMFjE#ma>coS=ocs3;uY7u>W=$qNJc$AV3-K|gyKCY*@P-kQoo#$%-kgy;PS
zntL|?>LY(hV05$4sh*MN9ERf0BU61W6%T*3^%mNO=4=U5f4t&}fQXH)06I4#Z1Hu0
z)x{G~w9T*MkM^Za2EQh#+hsnY{=LpW?<=NQI&PD9oayGIkNb4AkF<U0Cq*Bp<X?|E
z-$n2Llb{!M63!q;b-jB`CX+~EZOWJ8i)=MfjL(X|ociyQ-m%SPsp83)Z@niCoMXr|
zoXBzYkqQ?g_xC$5e3$CUhv|GO+f5nH>-(fB+h{N$RxhEK^W@A^Kmwd92$70vy`1N?
zDV0N5^Y-k(TPtz8wp-wY#=>V5taBSCjZYZg>V_U>@oFij9(O@ErrD&HJaiRRw4<&O
z<^PkTJ0S7u+g_jpxX&xt*iN}rC|w$Dkrs7N+M{2UVaJJ*e?|Gkz9%!o;|S?J`7OAV
z!JhXqc1_2P<!e5D%e^;(D+Tm(WVe3RlX@Ry#YPS%{~g*U1`^ntQ@UuyyyoZ<biOf-
z%QCE2QvM3>FCyI|h95m3AV)$2mtTM)q&w_ms>Rn$_ic|#H4u+rtJmKQZI-k>yt&}n
z)tzJR$5%7K&_T+?j38|Kh8x+Y(*N3nKYuJ|11^N)XteF46K4TWVqvAqGG?_VVM<sL
zN+ixE>8#ulV}3kGIJ!0@jnhtM)RSENR;fUAo3U6fc}wtB7cq?OK#pDjoPiTWhJk-%
z#~EX`$-A_F*eSk*l;66+nQiMwQb9fw3obf5H{$$y$&WGu+zIgCXg-CsimaMW?FXtN
zuKB9;?G-376$rPQNl~|*Xw!8yY~e-gu(bd|R`a3dNA%{sGYVt5#(zS!fAr|g?W6j+
zHy;wE4MLaea1K)&?yzpEtnPuJAaiA_68^xcif6|=`fUSGGeJx{Zu;hCP~CyNb7{t(
zSI%0UP$**cQs$H`nkw5^VjQb|FgU0@jg}zE3r$(YOwNs*q$F>~h){}mWzi{m#`N))
zGe-#TD~++ii^<AI6rRHb0T9KL^W*o^{R6780~0jJ4TW;*LxpMs1*_Pw8KmTaHz*!y
zv<<Fpy!;|q2mfQf9_=Feql4d{tq;iJ<#Tuv9Xq)z@DsHI9(C%@cI-G){ns0ovyOeK
z(wr(FLXTCmTw*v!rg!---aP*v9}@KvnihG9%804Yh<6e>da?f9h9tnR>GjVo`rBP|
z^2;%(AE1P=Q{F~uQR^qUYs06v=X%_J{1e=*2;=Htdm2)3{0tyUw0T1l1(~h!h1*Ez
zL}V=Jjhi{57T^!;>KcvTZGYlX`dn)l7sT2QPoo3UbahHgX}$M2z$N`(3qS=7{sQb6
zfynlPCC-dI!U4YBpfsz0HCL#4vOjhZk04i5s4*IwnKvj#wGW5L@ICc*IUxir-q+SA
zptjW->v_zp66YH!Gff1K?=13~8@?dI$<!BNiHEpg!ia2H_i2UIs6JDj;C{<0%b!!%
zK|@cqUO_{o4<f3k2yLz+Zp#m#{kF$WJ#iPMquLU8+tUy^@D@ATk(x3mWRQj8WK{$2
z7cy?i*%P#Y4fprQGzXj+4F9#lkBUH923SC$Q04+L4j@nqc{D!}SbgR+cce52%=OhX
zquAHJdSWl@eK%)b?LODx`yNaUEh&nZ=jC_>uikSDLTTROOv>uGTtK7mD|B|&GmEX@
z0PXKcyw*jR)I!swqxPhwiV6F(_a^8_kvgSgokF=^WmxInS&A{Y^|%ehElX32#oYcx
zs%qWZ-!{bu8-iGy7wAjty3cP(PSZ2~?KYq*n@C0WoYSlX&(`9Yx*Xp4#C7b9YL71K
zJD%N4o@tF%l&=ph-(0mGW_ds6nLXbl>}|M%hz@bu*X*$|@4bAGRUmggagKek=@4gw
zRHW+NR_9M9rXJgZOYc01g=wBTS&H|j<<@hliG+c7+!2OGo!R^-7?vs|Ki?>b%%6(*
zA0AP_m}BR((&{b{>=`K*gDeLBsBbrfJt!gIe0E>-WE_$EqBo9_${YF;{yq_x^WWgH
zD7X9tKNdVl*kI3RYLA;cgID2o12OvyOST=Tn8!<fbhG~Z>d<1Sq?R_5BV!-P4;4CW
zd1wmR^35LIT6J%3FP}3UY#$a<G2D+M=;l0l2XTD#lttmTF52WIA#NzT&$BC#sTr5L
z*r)}{hYPuyK6L;3ohMDCUxX^nS^M)z^(9`*J-x{EDPpC;bZ=E2>NGuK0;AHm8JzxK
zm$Zq5?D@Z@_<x4ZSC*7hOj@F`_@Bys(0`QqARi>br>(2ugEXK@ylQ6w-*<9j4Wk6n
z)px0O!r<E;HZM?*G&L9E$)@E;J~qx0eam;v_U6v2yFg*(uOINwdnLG|i6DwkQXpd(
zl>Ex{?OSA5*ELZFaiY92##?`JUolD%ic$M9on340w0SqTEH%bZdD>tJDkp8jh@fip
zGGTG?I8TvS6HXh)Ze8nIq|&bHbA|+Y6L<G1hr)t_o~77xIhnU|((ZMgK+F{+rzmk3
z!q=TeU+YuOA4wm@dO+B|R#HujjZ1L!`x2xQ6Kz7xaaJmOTXcox{(<e)#!;$Mch{bV
z27>A9`+XI2_8XpC<v2uKR3DhuV##G^8;#(OgM=CaN}P1zl}t4ISGUdlMY_7bp{Wxg
z9P!4lfYkZm$;!cOa52L8Vonsk48knwm!1;ASfy#?g0|asliC)H<y?WFRt~^ZgHF48
z-Hxw)-`+?1;b9;0_&ERXWwMK-GYxVU%IX7VvN*4HJ$vuwX6o#$o=wI&7rYlsE?nuj
zEVj4AhD`?=dH2SVJ53s3JyppR3<?T@(>LK)#<jP%_q_i71?qR>9@@Ry99xId226*k
znf|@MUn^sUAC{4xel)~0`l+>bksw<0QZvZ&-8&Rx|0_C`Y>}w2uxHKUbDK%3Vo}`@
znE7>e1S!2m-OW@d=#P2qbJhFg<-5XLeS0*$qO*({U64Q`?GJIL^*)Afh(ujrq<TkG
zf)}f$sORT%PLl87qLd5;oWgMZ6DdKyTVk_S_?^7^%8dtP|8ZBG_PuxAu^QMA{quEC
zIeZHp=)-==6xArd$XcuU$zQptYw#I$+C7d6@V!yj=NuV*;IXI(2s-_BLD#v6<sv02
zUr5LGJ6Y9a%A=$Dj#ET9Cmb+UK}^f&gHo5G=*z{O|IW(Ka3f6B%8T&xhXee-WQ&W7
zbx#b8j2uvTNYs7rZ@qkUWn`WKyt4KQI=xF1UsTuUYHg3aTZ_ue`z|jV?u_D!WXVg4
z_N1@Bu9TWpmFI(M*r(mzAZc~#EZbTfb%rFG>KpNW*Lk*EZ9QuC{ym<Xo0~g%*0kl^
z5-LYaU{zHWn=8DtoPvocP9+-Q`(wyi55$dHL2IiEcg@gO8D}1yebdR-9WE!vQ$~Va
zM)4E6WlB`I6T&bw!zJGa?lr_!eq*CJw98Ft#KYXKi8Lh2*&>>&;i(Vwi#uuFeY2xr
znH<I*?xRkzbB7P7r3+I!IDX#H%|(=;(Xi{T7~E`xSNJ^Pw^-0##|u2G2)fn9QZ^z|
z(_)%$%7#mpsF2~2$Q!wTo!bj36GL!M?6aPgl~3eQeND}<RAYbQn~TGGnc0yM72nI%
zh&r{$u`a^i+WEd5hE1V7)*}-6(K!M4UV96T69kds*V{Duc3N;cG$C2?#xY`A&N}(Q
z85tR{z3S1qd0-q*cRyu-9i$(sgVyZ6U$xI%_~i=>n5Z*@{hj%F`{f!0N8M&_HvkZ4
zcit-S4`!TQF+sD_J2IpxAWraXK%f;H!oae{&@aMFS;5rL-%eLpZ(la(Fvi=MxI**i
z7Gb0Aq?cSGzobn6?o?T$gs{RJ&d@i;^CH}W8ZsU^qap2be0W7;pp@Br#^ZC8zZd}4
zb{Bm*@i}{oMeH{Vsf7isTQt@VDC!0xv?T<}A}Ffo&S>kQF0TqCknc%eFI3PuOJiRF
zQ*0f4nXvmPyBLduJVqbuE9BXmcU6f-C>3DZI&1CLdi_nx|A~bG&*~Oos!YCg3TFqm
zR11fB?`u{FxJ8fml}<jyak0r#?oLHTWiGf>mZBsAic-srSK<K$4_sdrzy87r$}Ygg
z#Vsl>h9(UcBSP6H?2A8@npKuhjE$MzpzjLJ70S{8@3C#ub$m@aWpqIJWl#TeQ!+mz
zA|gWF*x2!g#PNP2!bcu{H#P7CciCPXn`%8g^2yD2-y?-LFvz4oj723%8-^oBrU+T~
zf}<p2f@U1$_AEe{58?LS=>$#}^*G(S8l*LaTeLm#;9{G?H}nixX*Xq_XR_DID=v7d
z%6FK=wT%JEBeK?DZR-wk{bMcVkp-VtE;P6*Bnp3|&{5`Q&k!SmdMh}2kcV9%M=>5G
zUcGEgc))g<Fdz82AKF}ppE9FvlPLUe=)}x-gsIQ+rHIlr&V1ktfZZ10unlCx5*}+z
zXH@AmU?X{1%8#{UTw0NCry?5ZW*CDvb+N-y`fc~rwKn{Rym4)|nm#f<*sTqq`8F!w
zEkY{W-FAOdq(!Y;Ulz6Vvs<TkCnbeI-)2gzD6ljbs;3To0=vJ-P!@-UoB&712Y!&t
z3WNudXweQe%gV+l1s5hFn6*7?5r>9CPeDy`pRL*e(#zz$g1W$X08n229At#Mx|WC3
zzUG&$-;+FRyneb75SkW%!ZGy#_loYfq3$Qi=j^C-_ecwCwko-v`*FfPK$ub~gS<Uq
zkV2?+ViZMIF6nP2UCQ9l`3sebrmc5?m3rbzY~1<*C7WDa8uml~oG$~LpqZ1n-7vA}
zjj`_knG(RPn6O~$q=KOIv9Hy&X@WJ6&TjZf&s@}@TB1>!3zLjX<Kr4Pu5ulkodN|4
zMOyfVh2MT<Zn!hE?iRpTf(Pef{mb*p>neKR%H8B4!+7U(o~;?MTgxHa=8$3Q>=rSW
z4ssJKB!cXP_Dgr3TLVecw&0HS%lazj0qq`rreg*>V$aX)kzbhaE^|^{JUs-1>Jf1S
zMYDT)zr8@CwJ0;A6Ur0sNeHL>)He|`+ryAJbFekAIl%~Z@2){<5PD#_{Y7X@wek*2
zA0l-**10Sdc4;P*(9^EZI;Cpg4X&W-mU$GdN-<=SSmztz{YG3})|dtw%f!-hgx;@K
zjr>Uov+GIU;ubF1EWBxRe#?u4uZ#z7#GoZMABv3<SIPBNoW4wlo)Zr2I3^ta<SAGB
zm;N(WG%2g7o(ANt=I5^V7ZXlT(rj>5tXt@un9Z7C%*v!tY+#9cN7K?y9;lp#R~Wt=
z+{1jovwNr~S6_VgMh(z=^X?)s+Ky7G#e9AF1W~o(v4XAMH<=7UF|Rsae94-YYo#m+
zIFu80*nUG<LyI#bDUUN#EGiQKib;C|$D=^05e9I;NQcpWEdk3`vQ2=at|%Ibc>_KD
z$&!9^p>Y@nvlvH(cOaN0h@Ai2OGNsG@+N|0#o5QdpZ$f#@nKO{96xQ)<ofB(6?!Aj
z9xw8Olte{Ija{Ux{vN~6;4V4>yf$*xF0iHoZ6Ic2kP6W(okfIqJmt2mv%f~-QgWx^
zEa-a`og_@1NJ-6mG+}wcG3#X3YjMG6uyy_wLZ<7S*W#<25x>P2gv`hPxA=S)oqvaL
znrSq6a_zw9Mm}y_mS>B17(*(sSK!vP0DGntq}3W(yTF3A%l)i$(2cz8ONG!|AHBAB
z<c8(geI$ORXK!vNy~=iP1;>R{#w_)gqcq%8#P_uK>(8a?KcBGDRuUs^zbNbdyLXP)
z9P$su#ZC)&yfCYf1*h-7oGnKrjYUFsUCqp^c|#r+1USaJUy_x25<thT=}Z@&4JqHj
zr>)_*^ySTH@Jh)(VO?duSKJaVqFe~EroFyw>=Wo2H)|%>+)E@0SF~e1U3TJfoL9%|
zX_NFesj!VqE%YC$f+25v#JZ~NE^W8?%ZZeqc(3DbP?TE3d;1G-Rk>yhA5Po1?*|#l
zdMoHzf2So3m!Lv%efzR}-emyYSduzP(%%=Uan@PB1A5z?Ock8f4+kyM@!yc@v-XMJ
ztetKW9l@O8+RAhvSx0v@5?{G@sV$Q+Ipd3RjTNrYhag<IS7SSkn8(g$><>8X-#M2n
zOeJ<T5k}$129Mh;0nFWV$lLGlFJbGRt6_w8`e130>AaMUq1@%9*O%=ld25xjXeFOY
z_kV9lBLqweHI=hZQ=aRoPHUQKrT&&E*sWl1QWAfSt^37C+}QBq<yI|6Qw51k*~v)Y
z<)?jTQ5+px`0GRI2fufr?b)N(1s&^caCzbv=vP~N$>Qa9aH`%_+l=4Ldy@K*v0Vew
zhMz*be0l96o$TZ-Dho<@-u<BPLa*q{uA>15Oa$Px7Awj(My$H^a<&RaaD=OvIF)0%
z<r4gSp8kViDdt@OO<&?uBAvaLAkuz2?^mE?LUo$K45|I1v#6Op?u2g)pS3;WxNQAO
z8}4oxK5f-zkB$s0S`WFiTOGF3P0<1cE(ym>+qASa=!vM^M^}9icy&tA`079x2le`^
z-vDK?r1LwhO&h|YPFE*YL%H*>x1`w_l7%<4C^)*ACGo{p3@B}pm&6P}ibF;^MdIm=
zUc7m&AGh6#_(*M}SaOkh{U)K;!Ze7Kh_bnD1bO>v-yp8YF#kSwiPQXC$a?Ugj16uJ
z*?Ac8^A`W;ZmlTA!gV)LbDt&g{hGe4_W_+6XIK0>JDcKhGNF4_qo~jM%Ht3NbMtk3
zt9J~!SZ<XK+NYWw?+A0-x>ZD5FDJb4-v>+!y|c_cJJs|9*V;3D^*nnyVd?E$?Dj^@
ze?~@?AnUzxO*>GR<TtIWPeC|snc{H2^C;N5()&<Q)ayVTQU9zbo8HWnnn7V3UgnJ)
zSdhn9y8V*CV`SKzI$175np}?AooXuu)+x;Hj%Os@U3+vT$3>9SWgrx^dS&!pH7B0`
z^>(B$WrR6L9#f4}DXaI7+M{Qi+^>lg&P~KTQ1^3Fof`J&$e4Xp?AX5k>i>QGV+fK}
zD~L<6#Gkdkh4c=y!m>^p-d3@rQK4*FTFBqAC{Mjt?`Lpc3vqdqp%Vk42|9o0*P<|=
z4Q3P=fMIEhZ#>4`7`&iq-Y2%mkW*(Zi&#zGRgRK$_wrk_WK|7`EQ-t%!|$pZL*Djk
zodO<47WGZL7_#6rjgXb_`o;AglaCDig=)u()HC{l*6Y!``mS`^$~Gjy^c)_C3Yo*H
zR{7Gd5?QSFhx?mz!yiu(F;*tEjb)T$MA#W+R^Jv>0H)KKpCZoO)O596Sb_QLJB0G`
z{IfSEnh82##)fi;`1pBQL9+91Q)5CxFW{@e-_v_Wu(Ps4iU!}4pV3YIHbpgT%DI+O
z!o4mgtUeEL3#c6h)Yur(b~~<UJzua64Jk7V%YFv8t(SxC8|X%zoQ_G~SFmUKiX=$8
zXUkmiavpFmM2Y%iq$yq}wj2;9y?7sbE2wuya{qpwGN1ZmN8IQ=8Rh8%JcaEOI$5PT
zu&D^(88P_7+kTHJmCms|F*Bxl@Y*=xW?^pY!)?G3k8$FSt{PCZ0rL$`CC7j{Y-!R5
z!*wa*1GA^ETe-!=90Ca6XlimX@5AZ3)Sk&nj5;b4lq!S{e*eB_(P{g_N?eedSpTfB
z0Ng7>3}c~P-EOlEv>=<^HKuaApB{LB-mOCva(MmaXh{UwLs?j)IVa5VVUUw$*PalZ
zr-N6_*9&Io4e^MuEhmN({c=V&g=E%RtZis${~$K=aqBGIbR&G43GQyOq&?<KVWFCa
zhMB5J{q*lnv-*RKz}R`f!JAX{@@g!bK5A)m^et_OMc)2crU#rlgA!NoMQ{&_bf-bn
zdt~d;?AmAJ4B4LWa<ODk84YrxHwNR{_?B)?YH)5QCQr00jA{cKwlQ7(@HG6QHECmI
z^Xt?~$J$Vg0~WSZKQH+;x$l$I`1|>_iq06c`!5p2>g((8Z+Lol7R902zJVPbRT>5W
zlN{YQoPdEBtx7j}_BPEz4~$^&&$$P=$@~0mo_X3JN6?B+&9*XWmNBLb<w1O)*+6%1
z(FZ1*Zy#4(*OQsW*+&bUO!-3~6AHc`+`HFf^1Mr>ai(QBwLDRDjj`6#u$`GGBnOB>
zD>wt+iv_*!WQ&4{;27G?N}g6>LKS`E>C}y^;GZf^L+dYl>{-a1m5ebNXCe@(J}q+z
zsqB_yPm@(sJ^^X#)+3NLv$s;{a+sfcgwUCn73a5pkiT-NaVmhHI{%W8I<R)T&9@QZ
zv+^pZ);<bSjDX^{&pBvo`exv@{r&cF(`|Duvdxol!0K$ZEd2lqssWJ*nOyqD0{tKF
zuvROJ(G`IMHa&6JkB*u|Zmf+!)~b3oQp>oj5u_HRbLi>r?!IO%ev@Xu{$pzDc^2>2
zdSDWZ*5sL)3gR<-OJJ5L+tJqspI_hc^=~H!^zoyco0{yLwV$m3!_98s)l7xe8%gLE
z78mX7a|t7WiE<6TS5<63e@;!!byZL>;^*;!wZp9O%ia9;yMdv%rgD@v1yxhiHoxRF
zPo<rEoVU)@?IHV#9qUvpnG@GL3vBuvTj%?xx>n47^lj5veHSF%4O}^Wst(_AQS)eX
zGL+Y|U@uyDL};+zK95bE?l|IITU*1)+m<c6dcnNFbQuGJ4>yi~S5mKEw<Q`bN1@Md
z_I{OMGu4U?nsu2ijNL=Bw>cyp`?Skm1P|UD!`6Ak_O9FnC_zhh5SL_4D?^P-*n47Z
z@LPPCExa)r$Bcx(3bH*ExZ*x#JT;X5x|?eD0z24xnX=;oAnbiBj*>c$GmT8#JjuR|
z{S3tpWn}j~!~0Sr(YFF;qK-#p6Hogb{8-?<*==Xvn4i~!I=*Kl1iFd|SCCZ;tgA2S
z-E3rbd#eba*uH!W=9v$^&iDXxkkHW4XXA29_Cxg~ZD=dzgtqfrfRlyYrYe5Ndw#g=
zC`Y_&&Af7dxBSq`cD-Ycq<7d$Xxvk7xF%e`6VZgywc}W-h0T0=f4e1K?-zH5{pxP$
z?R2B!XAtb7?Lt)8YY7-@_6fU3?-V)+42G~Ns0ROtD>>>qb57WFr=Sa}5Q=MmH=DoL
zJzeW};}w`pEVnsN09#X?&$B_-cYgzu5P_WFDsJZ}<~vfOPV5JNv7rW94N_6fg&t~<
zdbiXp?@1_FqohlnzYh}bHQ9G_(xnTAEH%ECw|WSpt(X}769k#~;W!~goXs{P?oGCK
zmD_st2-wzlGfamHS&&Yv(zJ7iwah4PB<Wg|XCss*X9Sq(n|exBreClz^uJc$T;iv!
zv^B7|M=DLVO{ksqaY%m50`L>S#m<uMdP3{ll}%bRyLUBcwG5cYzl#5cn)llUa2gf@
zaZ~Sg8n_ih8bA6BQPI`4+MYc3&~d5dEu{S&7w{>JW^#NNZ9>Ck-9ieBbTU;xb*Wq|
zJv}|A+e_!7#ZU)T2)j0yo{ZgMHp-9dxt~8RP<wV#OWht3ll&ZT$?h^wWdXdj1~g|z
zf3w>J1ktD<eW0Rbr{np^Qn;GH>iO&vsuoSHi8RyYG}G{8f(VBcT;p5#y;`Z<@>|0S
zPUlPCSf4@;)0-jo9$)-(A_k~35+p0E|3~P@CO5;lKZ*OP*g)62T6a-TCH=ZEqo-DG
z8PfPbdE_k{$_efOhQUksN&qs&WznPxm-Yc|^cfM9q@l-Qpmf$jT(^tshKroR;eT2+
z_>qHZ+eVClC{*^~V5yaKzTUB(CY*0U?`1JnNfJ**g`PG|SQe6LZGqZ6B7TzQ8!cg!
z7_q5uQAkF92isMBeX_Sl5#lw^%naqq=xUT}W7H1mx2TGBN(pe84N9m=gR9Q_-x}Bd
zIyFDz7gPnJK`*4z6dRfp(p;RU_Bgs^Sn7gIBnOV+YmpF}(r<^nFS1a&{IP>ij!esc
zz*Vrse&Pbn1<8G4oz|e9VIw}tlf_j*yM4;8;va5JvLvlpgpnrs9I+%ex6vZvXR7lL
z0&uF=c(~a~ruG6ZkZX36mni4i&zsIT69&MmA<`&R6CM<Ov-Js0M?4!0BUD+L$y|ma
z1Ll)XX#~EAsP29@h1n>>dV7Uh0U@j$oBsx7>2UnXZse7MYlQsf^YY4NF?ZjK_hP4O
z-cJ6`0HgHAGTth?UA+LxiJSCPP33GS>Bn!5S6{WWE$@7~K9GmU1>p_yAXf73HN+>{
ztPvGD<2m@@bjs6MD1SQ!X{2Fs&jw!hye+82vxWa{M%YGFi&e*5@QT7!abm{MODAzF
zObypTqS*NLZ|L9B1TYcWMR8=D%iAlnE*$_zBuB2=_s5eqg)ekiTHJ8Vp1f5LIpJC7
zB)#Y;wZk!OM0bed{0F}9Pth#sOyyDUVDQF_x8|%#Ukkalziai`6?Ds*c5EJLJ!>!a
zvlf1=+sybPye~jWe;%ue7@y=^LUkA*h9$?J9Ks~&qz;Ore!Hh}Mb&r0gtzdvqXkKu
zKc+|WS<2c=FFmhWmArx>$S09u&Nj~Q+^$dLFGSh|Lr01^=&Blw^1wNLLFxHOAE}|`
zmC~U`MvgDUV$|Pd9PX`A0FZ)G4tO(cJS@~tb=^mHKJa0UTm>Ah9Q?Tc*pN{Oc`u{J
z7vZ3!2f&HBNA`_a3bx*w;FP4R(}oTj5TyU&sy(aK-$Vc3DozSRWx326BEAu&MJuqp
z`m*+4qrC7y$xTTjV5bCaFX6}9x+dI>=JG@TeFM^S5E7zA5!)seGZ$Jl`ip!Vo<?m`
z)?sRK;jpd^T9ha{3p&`?Pw7V5#f4a@W*4Lsw5Vm6f)Xn@OollqA&h$A<4#w9y?@yG
zv0t4|OUc@&o-(enMS8K;23sI4vI`E3zAQO4q|tyoyg%%mbH=+WrdF`JARf=kp%VBg
zRd<MT?D|?hD?l3r@#wBzk7Q%zkfW<8$uhJ4R|@ILt{&|s>=Bm{6eHPz4Zg!s_bpn8
zd*2qRr(iWrshZzoJ=X<$!ySQ|L=e7aO6w|S;Q|?G>|a4qdUfgqZ^;c}u)-lC#cKuw
zo>%Xabje>wh&YTy&O`KDKiYqUC?>UknBL+_%Ip{#$J+r7SNZFRjH4du!hP^m6hPrW
zPx_;F`QaKHt)*G^zLlm}^sf>b+#_+1y#i|gYMD9GO@|0BG>B@^gUX$kXhUBKgsXI(
zS)ufi-W*k5{4FH>NfM<!f|Hfxl5PN$SY;tX=1Ntd<w{yQRdy*F70Wp;$<}T{kGo={
z$o*y))&2A!ZWS%k<s#B`iCR&jJa0+lb5#OVKhf>qnO#1qu7Y(lq0<=cp@mflE6q#^
zJ@qSY%YkV}U<r|^3&%Tz_JbSM8DkhX#-vz`FLm5^6Y|)fqH%$jge7bvJ6|Y1ZaXNe
zVmf33={X);H3%;>zLLZpqGkYB@|N;=B4l8(De^Q~1VwR8IRNHYFmjJ@@HOj5;S_q&
zabYrLr(alAb#Eox<M+StU!7$D8BlS!-n|4!wVedead1Oxnx#^rIKT^=s&nB@y-awo
zyA2E+J}JgyAF|-&fIp689sIzTJ97{c;7&pVd6wBI5=MHbh$P!;Qz{A;g=X2rx+xa8
zJYR<?7^Gh!Y{{ycQHvthOV>Or<MjU0G=?`%f9C#4bEnxbQTMOakY5?Yb`lA<By;co
z3fN=XV3>-<;EvkRmK`a0VIz>1)eUl^#-UMuL3>ghJ#6;cLaTNb{v>~w>=6_2kGgo2
zGDms<rIbMoeg1f|M6lq_=-TRQk|T1HQdWD(zFrf?4-c;{e28pgqM|I4$SuZe8$iH$
z9dh|=01L$sz}y8tz|@E_>a@*#+|Yg{P_3oCfL0-yn%oP?;yyJqPI$>&AA0fpp2s~|
z3}Q{v9v4mfy#!sLlUv074fLAuMyY)p=aj4MV&+Kn&+YNxT>^d_4GMB3^{>luv4k|!
zmbxyAu$&O%O}tfb@jx%mQ$*NcZE4PlXs#h(f8F;sN5s-BZuA=6<szmpVqAd#-<U*W
zDWLW~9k^=txZuljgtp&Xeuh7KD0$^*iw&`<E28uvx~FWL3Bv>{=)G7N&wm&#2X5>|
zBlS&qemNnrBIvqYN-8sB8l&dN`}{~G_CD6Qi{a_v%E@XyS58Y*QLS<d7{DqH=d3|;
zF`@bIInF1^!hUnhP+_b{oN+<(v8dPFbBUZupZz)G05+n5=elHj_pSKz60dez?kvg8
z>$iXkgeYAE5a#M2n8O%Vj6IF>Vue>`z3{SQt$Qm3=|vkR`aBLW{y$j64HfXz#HgTu
zutFks@Ug7=xSTK-LnODCsIQC3+A`(WCSY{Y3<iuHl0tZrDv9I2&^Y?8aT_?3Whyx^
zwVlZjcaCjJze?MlB1z8E%n<B$)E28mvtfYr2dJ_X*LHr&oQ__Yyh>c~TA&c_G%Syo
zk}8l{^6BkvAV^`g{s%LMfI!PUgCq@?wg4qb!-QBnH+m9K$~x2_UctmH95ZG8_rB8B
zW=Q%wpjfreAjk}+=0kqH#r}7V!IKO)OX3*c7yby~f>cKo_G@SZ-_A?ho~K#M#+!08
zyM67gwNF?rR`7iyi=-d)ENdePP~;1eE`QsQJ)GHn5gE<wdvLM9yx*9iAae{rxna)f
z(lH}qh*;{^;5S9>4Oj0Nz8VEc?PTFo3==O$BE~$$-*v?lL2A}??i6jJ9g;rQTHYY<
zr{;>Kv4nj)Ap6@v7j!6LLdOL_Md8F?OntdPm&2a)&O!yPO+(=A9wWCvn{?CeGze?D
zv-!d85~KB5wO0k&_rcWNa!vCSk8Nb_e|6yn0S(v*mn={x>OXQ$0nhv$C=A=k@Et^Y
z!8km6j>4r0Jw^+T#yoKjU%iLz<-w^Ik!3q!ADF>erjZS$nYOr=qZ*yn;K5eDk)s!3
z@U0}*31F*oP^XTrO90ckhYgbuJia);y`>GuolY2{=V}uKlkzM!P$%@yzw$8mxpJ5X
zOEyFE?J7hAA_8$Qe65lH0Rgu?3(}0*H;5;7c0jdCimpw;bWqSqCvAU=+B@4eIH0Ty
zZ<rJ1;fyjhqZ}o|9@3l#XEp48RsKUg-Tb(oYV_;>>3j+Ji${>VU$EU~J<5N$0L=Iv
z&z|Q`gj4H)4&G0aP?d-hcpO-U#E|*QhfxWUEh+v(N&c)5A{8pfG$JC>E)Jjmgma+9
zrZMz9-K7Vft_WFct}%`z-`=KT1_CzWd)4x}LC8-%FJUWzV-p&m{&Mt`@Y13oaEtU_
zDRCuv4qh6BE2n4|!G;$hs{S#YPBfnpRum^b51?{pm=P>Qk{=8cheqBlJf+clrU;5U
zNxF0L@*OY`jk@hY(pb|j9qW^g@@>0gYG{GO{;>OO{JUXqSuo`0PmAn7Ydz8djGI5}
z$42Zwdc_KUWYj;|yf##Z)4!2D()t}dk>Sv4>#EG{aG79R^cUJ&!9X>8mfK0?kBa@U
z68+bgy|c#V#zPU>n1`LD5gumx%4yqJGSH7mD<;DeGx}Erp15)AKYt*8G$09^|J9c^
z7WYH+4tpflKl&4$QCi}{!O#)%&oF)GqH|(0TTkM%Rf69!6T;25?#(rMI#!+Sk3SPY
zI}Ug@y_0u~P~5k0JNUk7X&dEBk~S!wEbZ}P17-a9lo17Tf+NkE@)EHPv9`3~b*5vq
zCi>D<{Ga;aAMoDeb(|he-Le3))}Q9=eyNpnRll?-fa5oa#h3oJ5EUIxpj`9D$x94U
z0&AI(+lXgv;94I6SzG>SkMDbP!3ZvlIwY*JDJzbTG^<DINW7JY56;J7D^2Kh#gVc5
zetbTD*C2MseZ5&>W^(_WzGp%(*|^8X>`Bxfd?6u&-A&Y-JTAPJ1SlT02xF?#@fjs1
zn!}%{iC-9w7~;0z@eFiSLtaG_UY0@wKy{@Y_Jjbe!obo_Res#b3D7oaiaAt8(!i2o
z#{wRXjrdp1{mAq2If`U9;{TCR6L|N`kGF4=Hr(g)j4V)Oe3`_013X+Q9{j1EUWzgj
za+u}k66-{--(GSq80MQPCv;;jQ2b1lF^z1nRj{ZUwEXlEXX<x>rAMzRnXNCfwX9fY
z|I>#^C7384>SQIFcsPMK0PDq5stzP1y?^nJW_VyDNl@nwZEo-aoLWVf&>yY@avIpJ
zq6>RIu$a=gZ-0dO$J_0=!(s%VNz=8Ap?G?Tv!vkq$s2kSG6C%XAfw*(>4g0Uc<$4#
z>a81hGvU#58W8iKvT%KLclyc*Osp+u82YEj_`l$%Qqao%iTJ~b`SCqp+G$XoFw?%a
z=GxvI?tle15hZ2B@}V4%@VgsWox1>wQUygwQ6<PrjKbt;LBX_#hKq`mv7AZb*G13~
z+q`D(98zH!&igNkD+f-+n9sU9beaNTHAG7Ck_8_)qB}Fgs{Pg*#5jXLUy3k?h#@?^
z|K(m&hR@ZxdrrN{(vK0vEM{=WowvjtMRK0661q_;vg>Qxh6_n!?Zc5G$~^2oD`wfw
zXpQZ)BYOek*K!s#dHz`xJJ%7lhuPlI5Za)|NJSAhAAQ!szj0X^-(f`^uSB2wT97Qf
ze|?s<xfbKRn_@dP%!oJ#JpkcgTo2$t2$=+B_oNVpeWpcmMaD~l3@BDL@0GC(jK)MM
zhy9EjILno$%V%6a{C?Sn;r_1s{mcHn7Fyp)u6edRVN_&00{GwWNxaL*(Vp)wCuUf-
zH&E(lbgZp`P8X)Q=Bs!EP=L>1z&9FTprWE4U2W7iN6*JKtHpRN^fZe8Q5CTWZ~W0;
zy*Y}-sStIGls90`b7s$w;&P-m(2EVrM73U5@O>c^)838a{}WH<6)Pw<L+od`Umim#
zffFRLrhF({&wQT|{msl2E=BRY#(3;kHBov(IcR)#^7aOrw-x)!>5TFEc2~}<7M^CO
zH*e}*{DvnVP7v#Ss)dKq!~^+7V#%L=11)+gn%4Om+{w39LM5gQ3tUi4Zqb1TFr$3l
zxZUzIi}G8xp*}*j$aZQ_6{glchEHpmQtZFlgpW)f%{Gxhxy)k`*H*S8!9$aEDiHc{
zI%b-*TYd{-Mw1{ZkFepIq!3LTxRd^_fv#(hCu*m4oG-54YW#9qwO0N^rSV!os<|J;
zy{Doj>4C4Qq0yolpxLOR8N<+|>{l#nkE^E1Sv&4|tHg@Yt;flkaSSlBK3hm{MZr(9
z{p>GQpd7lUM^+>jp7radV6r*i8Ztg>X+Jj`!Y4I={%4^=3@gz|gXTON$k-+ON5_I}
z>g8A8{5QUY$0w1xT+I>}aJ04GhB<A!=_vbH-n#cKC!ZZQaW#y1WG(*7;m3u)pu^e4
z^zoCn1YmF&J|kAu%a_}wDCi{gWpUK}yu4H-G3DPdTmZ~J5bx+B&){@{W7R;&2S!Ec
zW*$nQZyQXrdhMjux(asn@sc9?()27{4nh&e(N-(_nKC}SLGdgR`Db)RD7HT<cx%Q}
z=<6oFF~KQ#dlVda@k;B*%lG%X<Pkny(-z6dOpIJNT1ekbLGXA@6oUy`W9wa6P(J-&
zDEs;wf2beb0HI4!ip@r(z$WjvzdcbwH=vd1VV5N3yvX5j!?l;J0#}L18?rtLjn~NB
z0wdG{zEXNTYC0cN2Fzg50Pnl*B8rDs_dfKljlciZ<AVP4(ogB|i|To0?d?rsXlS?%
zK-`|KFaIKKB4gXE5;ZdeX07<_^MQNx&+*n{f$bN01<%q{PL98Tcm9c~rG+o<QlpTz
zbFp|;gnjrk^kZtnQZQz9Bj~=KrCLHPhWwuFzHH%#k7dTR(Kj0G{z4_8a1Pr(ZpV5w
z7*BaELz!TXzhuvr7~rJlx~{Pr9I&R0uc4+Wnu-VnF3qA|_P4bIOo|V<davdazSBX!
ztSRi3cmr*v;&r%73J(j3M-FFoDLx~AtfK^cyRw9wkAfZH2k8Pf#J#xTaEylA^qLXr
z^G!lVTKWW`lh-R7?GcmrQkNKQOvp#s)vW-l%iss-(*3wo+Y5gm7K8r{H7ebZ7gFU*
z#n&c@d_6shL`6kEW@Oxam!{KG#TB!`gVOu{kY8(R5-QLrE>ryYx6LjtsH0W<N*_dU
zZ>Nv!-_8}f3&Lp^tqFbbk;fSxE>wTl)XOsya@7*m-X;{4!2>B`Wa~_-#omiQ%M5iN
zTx?4MkIcptNh93Qnl-YIM`u|g9=V(xuCHAZZfEU=_8+Zn?(t<3Q+8a9jna)@HkEF6
z{ep79U}Xe*#Ugg7{lD&+-$Whl8R0|i#O3TAH<ntR>xTZw3xN7LpdgJ=Lt7H%=z1p_
zc{{|&J*`4LaR#NWRvi3EC)Rr+Z!AQe(A&H+>n@M8LLM|oIQRWY<Kchh1o)#p<WW?Z
ziEN(l7Sh9tK2+7zgjPUkwQ?WvkM$0VRcuT@t-5v%V>NEb?^fjgeibtzaCBeNPo9m2
zl~>O1$VZtMK{+!+r{~vi1Og4Sm+G9bP79J$!p$+Y%`OY(xHq+grtL~bsFsOnhYkvB
zDu{esSt{z#)FN~N&<=-Gw_V94u1{~=W#GQ52-#t`?>mxWUz9u7RzZP#R5S+vz}Ty&
zbso;Ov@In_S~NfiC!+SO{pzy1erc9w<gp*DLl*Q&)t3l|&cI65%8hhk%!Me3Gg^)K
z7{-K$TP=SP5WcX&56%53p&l&23N2A{p8d7%*_;r|fAc@gKXJfDKzc~94Ky_^<q!!`
z!hAr(2k$32(SSM^x%l00)!Z{69sO8&(^iAKIzXxw-gW*<p|Y}ygN59QF>)4Za;xO_
zq`xGD2pj=R{o=6pK&10Q?n6jqW9vtbC+4q-(S~AIEgUhFlRtZYZ9}V=M8vM@S=XpV
zQilZSbGi>P(!R|0#L!0gx=+riMc(PET%q_L_BNCBZb-#_+R@GYy|dCSq?t3D2&)7c
z_qU`$&o)u)&o<_>Wh_N-x0%OkqrEdUz0XCY`e4lQ!pu!{<d15dqFRX#<7S@=5e3pD
z5iCTw%WI1Rs+b^wA5o|HspRUJzpv4*U`7i540Yno##qn>sZy4diqU<vB6nAn4E+$Q
zi^Tr{;;uOS(Xh<#D03(7q@UULz;IPXf)rEPXR&*~SsWjf9h3ichG-ZnuLattTQh(A
zH%sF`4Eogysu9awD4`r;j;t=&5f}v^(4;WkcXoVMLZL}}acPmfMMs>C(ravZprc;Y
zUg<9<*t>gf9x$m6<0|hqqmQ+4|EBWZ!~Pm1#4sA^=uF7H7MFQs;Z%3YWktZ?{KEaY
z{bzDUR4q`(Xynm?i5!uzy#`gARPY}+xl&0&)?03V(z&4kC0roVY!PFFIh_idRNf;C
zE65Y5t8A(1L_-2az_<L^5DyXL>T<)WhbFG<=>KIssly4nA&9~U%fdgDuSugI!o%4u
zw~=d?8+3-D5*}UeR^&sWFpskDqkj{H6kKpV2&wTaPiwjM%8}Ok2JrG45l|AH97cwy
zY4CB5tr@d=?WmcWf~ZsQWXOt-X>3T2AV2n!i!5$ROp@7Q^NT4+=5I@Sw5?P}ww`T_
z@i*eq-2)9kPc}7P=h@2#iz?W8cyAcqHa&>1c<$$XYV~cW?Nl_=x8uN=7K@2zfcGkz
zi{-4tT_!HP^Xp-FO;+`Xa3)9?!Qeg~=<n-1j!++ZWrU@mmkP_0<f^qn?FCvfvBoaL
zhg3T=l)Kr?ss{1Iz2hk33-ShYzr`N=elh%W-2Ma4w{w7Benop<NVzexwWD2HhkI?r
z#<1obr57LSUXnk=FQ9esM;1!O;Y$LJ^;5#^`F>q$f97i8#qW0%a$L0*kaaRG4|I}Y
zLn+4+%aLEbeS@P6Cy-r^yjB~|iJ^UIzl&^r_{P&{@!;4cit~Oy40O^oMlc`tU4qT%
z?HzR!{Ybv+4w{IW7nh(1Zcgm!_bOK+2xe5T44k!`Sg%~Yf2<VWXdeH#1!}+W_w!t?
zIjewnR>$2EpOw?NKSXPln#e`lw)PV?t64|lcMJpP*~!xGhp$|kO9n99z&0(k?s$~*
zV?6+E(#oP2nQW=7lV9(XHce`m_WzR$6IAR5#{^GjXKcWkbRTcZq-}FTSoP5@78DT{
zhAb@^DJdz<`1gqA9NO+KH;XMlo=L#uV!*TOP+)!)k<k1RqUMiGCrc3%;+&a7-aEcP
zD@zAeA4kc1osB^})Wn&@Zel_m(pMR_^C?Uytu5<=TBvH`;_o*>B+@-`4cu?cZ?HzS
zRPt&q2pvY;%=!7423eKB5zbpbk(C&}*qI6%51Bc&spfsc%x6_&QaG%M!B-vb4~m|D
z%q<3?%XY-um<?>Oml>+)FevN}h2IUtoKuO9#n~;t0LW4z9buu;*cnH4l+P^oJak>8
zoRY(SJfF9B|HH8IPeyzN4(ZXVj&(3!KGw81hco19aemmWRxp!ri2&mu$Hvt4i4L~6
zB`hsJlk4uysQXTO8_51~SB@@`i`YUHDL9rU=OUYSnD-iA1h-$#BHwNvQ%Ty-tLrW@
zN(NElo-o}ur^(zlI}jQbp{$JR(Rh|H1@8pvh)2?eL7A%;r&0R{a|C}Mn6<f(m5MnW
z*02lD9pSLY1w@q>S06P#UDIEP`P^xQ)?Wcu6JbsmD3m75iI3a@Wq<X0ow(Raw@ZmT
z_JT2?-|I$L&YsDl&*3$BQtjeHPV0p~&_^?Im!0I=@p2^XMG`2vm{*sF)M0UP_sr;v
zZEC%Nd*dyk&i%0FIp#%5i9x-AfTov+NcCIyU|E`BM#T@(33xp6pe;1A%+RFOts4q5
zoIFPC0(q<_?HrSW#W(x);)px4;&-Pft;v}!FkiQrR}#pKL2@b`d)sM3FH<XT1}=i6
zmUHD7Ag7JX#MFY~JYa)mLf?bJW<d;nO;kHR`$}zoqScuV#I(ho>BB|JEB>7)9|CdI
z;2$ppNB0S#jW0-;rPX7bKk1u^sVN){4UH^9ihlB-vOzC*G7p4KD-R0A-rwJ!Y4+e?
zW@a8LHQo|qzsQgK`~6BNg4Wra8Bap_p2JR9tar=#7Y0~=e<AGmCC-Raw5gNblR6VR
z=B~-gtFG<1ij^;S&Y2l1rmA76H(y0O^ZIT+!+R{_!K)M4|N3ZR_?q*ZsT)bEQ&u}N
zKO_tOsM@m$=F`Cc@Qi&pv+wMxI?`I>Xy&P)xL11E5rI=s+@z5Zc+qs7*`Z`xw)H{l
zxxbfTI<yhmuHD2Btc)K!=s0%iyC~?QdYo+7C+3M=LiELnBS_o@Zk9ABzmgZRgagTE
z!lB_@<f&Z0X%l!c!^ZqQ<9{~h&n{s?I+~=-UL>TNy<bBjSk=z#QCTW9APDb$Yv7Iy
z@gzeVH`LOOsH@|rAsDQh`@69wuDDpH0^1jB-&zd?Yx2?eQ*Tz~v!u-4<H<A)9*40)
z=6_+2dLJ$2Jv+qLU18kl3Yfr=5Yg`Gd?nC=!4ixy4=}P@+OHkx8yyoWCJ3c{x7VJ8
ztC4F`UoDpWL0p*cIVTwMdB$*b;f1f@`E=1~O+H&q4h$E4CKbT#FtTfVGBf$6qAWD-
zImAX_yl}%$h3@174?K<s&Y9o@14nLMg(`;)zYbL^zkxHTi;RZxc_Gouv5@4A;BRbo
z0*Bl(`>gCyxlRcS0*23hGdp+cSRUo%pS9WI>eS1#<~a(I^#PXMG>@i-jrFQKQMIL|
z#kZO>tA9Oc@YnUY2zSoo69B$5vw-kj00-i~;ywerUBa+>s;^!n45Mt@e#)L5BD@z-
z{}m(QtL##f0qQOozap*&cCAC^^Hjz6%eOdf{iid839Q%S=ip4LvW0-(ll$V1UjB}L
z8aSYI`29=&Y4LuAK1Jy?RS^oxt~V}2kv)_#hBBbmXf8B!ZZWWJ^%m^rzP*3!I%zv{
zkGuCk2-FNMIsSy5>UelFW$Rb?`1?GSkUn^f;DJ9EWtDv;&c+RhUicwHP<Qi`TYFi~
z**SQ0`Q`Z>ldNh@cjGQo!+AEZ%)!u-f!kXDMyia!>%T|n@iLi6rHZr!RBL1@3S`|H
zA62*`fYHUY;gaAv1p?>>9>jKL>!kDWf^-WS+4mng*~P-TlL$47n+T#YROZdpb*}mR
zTswln$=-}01S&J6Y@t42iB($4e{-8=iMpgffHhcQ;_xDFebRv!(ZB{(NPTo+?Z%c)
zch=N3uS+WoWeK)`W%JVSQ(Eu-=9oH^w3$XO&CnO0rx+R6kSjI4Gp$$v;A`zT(%?Am
zW%b^wFf)7maj=$3DFW)uA{;Crvv)(9!T$NrQ@ciBRWbUp9x6eHIv-~0>|=`jhFY92
zFj*S!3i&|J`nj5tOe1uGVScaj*cFl#womqX8(gOPvi={X@>f_SkQOG=nj^dX{QLw1
z?nT%Q8ce{mpEa1)>Dl|0BOy9wOhUrKFrcl<1i*y#>6Uu+T%&&Zb9*6#@3PgE(=l7_
z_3MqI`ycg`R_eFPS1H9>LmS(;WYt-zb)xgXsivmQM@aUClaBF@41Fo0(>ZFD6-QkN
zi*6QNt0QKBN(r&QZT}VF_L3<~{eu;H^@`yD`AgddREBh;j<ZHZL2*BD?|}$W3_1wn
z#R`l+$&Bfe{BrWl|2!k;;i;;?ts<FOuE;l52V}Rr@xi>W1WWkc1{U8WrUb!me)vL3
zz?qtl2{gdBsP+tYI`9u4S<?bqgqSceL9SP#8`m6E;&YJbvkRSX)+QDEjQDlt&cYB#
zf=kKZZgTzpIV5*J|8cE<G_i;S!W112<Voh>FHS+h$oeI3R3P}IH<LtI1v)Db;Nk8K
zZGw>c6crV%aHwAZz)A-P3{}xHJjvW2!wYNu=v59Cj~6llW>)z%FKTJHWiW?a!k~*z
zm6u~E%MW*F>e3a4a{Nt!77f|zcziYxg!r|y{?!eX5#`U7ABWZ!6K00j+!@}r(pNML
znYVhd1~5f;Z4V7e8QEvyH*a$nqQ(Y0hU@l@^7;{KTaT_X^FX#<PkhYnevuZtGJdK%
zL|dq{!Y(c6LMpTAK*L`TgNn8!<(+-?Zk?+D_gQvb7a@G;sH3MMJk-kQJqRvqdRFJe
zmQUyYfjcryE~gnr?Gi$$W}wosW@*|y=T1=PGu5M}bC+<u_V~sBvsRU1$ff$UMmjnY
zj*cAV290K!-D_9`{Z6zvT)MrM34$asX1=~;`K<40PasYUi^I6i;GX{+Hd`FVtD(Sa
z@Dn4UAH8{UTHsPR1B$dB5F~Ard%g0@YbSkB<!jDJHR&VnJR6W<$M4^CCf>vkQlJQ(
zx<GPMLU>jO?O&#=v?wFX<z*fA7aFJbt+O$a?dY9aKcAC8J1(QRnjms1*9k+tN~{2T
z;mOg9k&l;A%*LYbS`?DpxKg$4a4Jkr^%}f>-sEi=eml623bJEe5*X@rWF&=XM<H&|
zoXzDCuG1aEsC1V9QAgVUSO~>jTW7{$EV3{5Jf!kkvT{7iZq<-ZZ|1=HN_lMm&3~<U
z9chqTR8Q5|#KeT`CH}<`Y`q_rPkD#b`N={^k4k2*03RZA!YB!wEYXH7`5dPGqV3j6
zA1YD)tHA0gf@*yZ`{a=Vyv-<$M4M3kl3Xv(W^Fy!B`M1>&vHGw!sYc5-4B-{{MfK*
zi7$>IZ88O~U);Jdh6fD()&=*7J7BED%>{2`By+P3f@<P*o6DP%u8$WiFC5D%uva$^
z^9KUdHwiK2e7KT{de5#<Jp)cFut(WCQ=Cj<Rn|#e36E}qa#n2?Av1=4NC0+-t&^Rs
zRM^3cQTpie__D2Kq&ZG~>(5aEST^gv(|cxLA}>U=_xrAi5meuZeyLYCQE{%j;9cys
zHbvK(P`_n0Kr{-kJ}LUf#*d9>rCoe8SavnMTa^4CVG8O`c(m+M83R_;R*91Dm6erk
zY-~Oy40+30Y1F8sG`|0x=!~nF;w+XU5Vn8N5ZG4yR}%HZ1GB>RB#j9BcO@-5Pz6vI
zW{aQVd1Y>YsczupMZjDpiiw>tB#_Rai8hs0Q{q1Fe8m8hW3|&}Emf--UN!lQTK1CA
zT|=<E^$^~p{zozm&7PL<-bmmT)e0K*2KW<O%hRj`(HY}AT8AOyE}fQ~;2M0$;7Nl}
z0LpKrC8Td4q>G034*43)m`;9`GGiC!WxWis*N=i==L-KG4^ll7{DdrvH$pyFIDn4_
z?6b{m#M$NSunp4UerrxuH<LBQ>#*s|8rTo={O4%=qqFNU9z|&F$vM!zSya@qw^#a&
zAtl<(86V<v=^o*ftHy~yhJm=?Ah4m1V2K_3c~Pw0>vg~%AM!&-3bo1k=E4_!FJHl*
zT5+HpLft0^l#KKS8Nc=iSY58KuJGQKFgqU&VAp88`RMVw;Y?_Cy-W1utuJpH!U_42
z+_3-cRu*;3%u2+l!!NGjV;*zH4fQG42eBG`3=?ed(~(cuzL=AumYKcQ4C0~Pn-*3u
z+I1do9i40$j^1^UcKQedtZ${gFE?Gh@7omRy7W3~(b1cX^^Y;L{qCe;&Mc1K+FrEX
zP=5X`{r4yHv%wwUUF9Hk#MV8n4Bu7T7K!d!V5}0Qq;}<t=(_#D<kCO*|ET&3zo@qN
z>nnmFAUSkO$Iwc5BP{}h^iUE4L!)%V&`3#xh>CP~%@EQc(ltXVIiR%o9{t{XfA{?d
z&S%a(d-h(>de&M`WcAEpNM1|-X%s{CCGQ4tFuwr9PLRiR5K>a`UqmDi5KOHqP#CeM
zOGI<{Kz~0o4f4m2AHH7XaL;qV4I6`mK67*Xr8-*^MDRCe{(+Ze5SV{-QeUwBlXB1L
zV}J0~l+bk@`lY+0ADNr^Uf=uj@GKKZZv#Bjy|A3(m!~lueR@N4YW-Tl9crale8q7L
zfjwBh^Go<IC`F!~N=(prp<-#PV64GX8by1&84CDl(~elBIkmDH@z@jOM{XbAzyp>s
zt<I!612-Ff8LghyTT1Ys>UP120vtL;{j(7~ZuffgAE6&*00MXCWQyd0IRC>8>E|n7
zn127{P(H1YtFhyQG^*Rri=5IFz%12B^6p2n;UnoyDNJ36Z4*dUK~zKW7^u;6UusCv
zufn5nu6MCY$@t&%2{`BgDJ@G)A&FSE7K)4!Re>ne$x}2o&g53-bcMq1!u6Oh5J2%E
z?zt6Dnp$37F7)uBT``BUbjBt!6nqFDhUEP3s&p~O+MEt5fD^6LaxOUWOf2gqRIjRK
z)=(T;9t=E4x}~pnD<e6<)dDECC$Ah5_(!&vvp#`@7)IBoG2)d7;dc%jh`JfZF$a~p
z)u8|@{2?#qHkZwZGSo&y<>WIfmpOSe7diS=&lD#ZR4b}z3^1g&agJ|1?v6}bFNypj
z_F|}mSnm8qa4=KE+D@nW6{laXUeAT-@r3<eRNpWm`mt(PdJ+qBIV6C*MphrVlG{kC
zJ$`L{&l;NdSB^{VrgT(s-J^}uOdG80Uj8Ibu*f$6nd2YJMcGuxRqqiSm|1vJx=~TK
zGW@3unN!97!bdhfI%@6VF@@I-7+KF}s)8Z`BAQ%5pC7`hSYt~pz{jVsMMVn1UI)O#
zFy6?qKTo<a(T1^Q;EXMu8*4@@_n$90@H(V9ZZiYgwHTWTOf*JkMG*h|9v~q58iLR}
z#((O>fmx~)y{5WqtJxz$m0V!m-1Cg9c@@c?uI45@Fc&S|9-sH_<hYmZ>gpDnt5q>x
zEVV6tel=Y5P5M%oU<*=LEEsoyPM0M=!J0)BLBFZ5s%O@ZTXI4_%T_!hV1fGF<ww)S
zbjf{cC<o`H)hUi0+lZ1cC(UOkHW8<0>{b5rjjeLXsxMjH_k&3*JH|_@1zqD7O2@k*
zuLp4?;a6PLXVw?tzp%H7C>y2D8Cu~5A_q3)a`&|uzY_)KczhXs{GUCiN&?AL2cuj$
z(uA<82p=6ss!(T~-z5zk*4`p7tKOg(mKNp{5Ma&LqAjZ#;T%W8z>!Dw+<&T_?$i5L
z?VaVE*C=q%3kTkIeq5g~s_x$|1uNr6t*oGTh`8Nf#g`-ssa`obVSdTzhu3_@U!jMu
z6B}rN`QBjYPSK?~bBbq`(HDsK*Z3JHDrkP!ql(>$2G{D%LA)VjpG6t7vD?3#YTEj(
za9ep!QSSR9U>{$aKv1;GheSK-t_Pm@4z*18^DPwFZMeSe$Y-GZW<sC(RVaw#2Pso)
zTbJzW{BN~P$pkA=Q?g?#6ZZtGmT5mKG`fjJqTm3BTSBdURGDl5Sx=WGkn=r|Rwxp0
z=7a61{_hR{+=N!V<dE6y#+X*dBwRy7!)K0;3T$L8UkNF#{hp`!m!>mqo*aAnTPklZ
zEIdUEX3YMBrmjenS(WU%;b||WCiD$r6I&m(``1uy<8or|nj;U-bkXW(gg2YhS4RVR
z6xA5f4aqJBiujE4wrsY_vJ?0IIQ7XSQw?KG0)%p?7vG}t4E1vK);axS!gSvC`(<9A
z{oM(N8Lf!XtkOhG12Zw^hPX9tTO?yz0o^vQDTGwD#rH+E5Ya-kyLR+QlYafVNzjhG
zQZ+?Fr%wI+Y4NlDC{~B{c2{zh`=s>j+sEOIKf)J-_BDQk9rtl;+vpL`zg|9Xi_J(L
z(0W7krE@%`fJQ;6F=nqpx4Fw+nL#9;fkDj*c4Y-?HX#{D+8O)qoV7#E|G(O1O@S0B
zgqJ2JLfpmU0RvQ)dTi}cn-Lp-moa0mcr1Gfgt2s}9i`s5$c_C(Fiq>9(@PV}?(XNY
zpTVAncyj(wu|%&2YZU|?=RdNYn?H-iO#(Av(GHa2;wPHXzU#VD&PN>?%r^rqZ01PV
zwTpP-&WP|zmipRMudv4}sthhhP0=IG1X;=qUItU_!a;(mPrG~_tz89n4w!vSV}B=%
z)`{=vA~KyNf9s_4g7@4D#bD3V6`F0!G`!YAtyvR7_oe&@vZCN%OPtRooAg$%Ew=dG
z_s{O}&T8*_2lsP-GyrF=X>#`m4P{kV3QUt-5;r8XggUq7h_Y<8NHCBx+nIMz`@2wI
zGazeGazA*1pV%0_<iE>6WqM>fd;kA<gT?r6a}{W8VsZ?gKQK3VgJe}R4RY7S0>#~K
zQN<1M6&T)a|NC-mxI4%F?M{d5-ui|$VWhY_Qu}3t8zGgrkRw(a#;(1&9A`k1?kGSh
z8FP=w3)@_L;5?RBlZFuK5yL5bp5=<7cQeV?v9D?CO>jzL-~+pFH&y}4;yYCo{i<`M
zKE^A1(x~^MLgYclB%`4^gkZD2Cmz@rP{w)aou8QDtWQL&`teiNU>4YIr+|Agel7Gk
z+q9M)Ur+3#FO`4qpK3n5qsLj|5fTz@NsoUu=!0BEBlq#^lt#E2m4kMaK-*DzTFB~D
zlc<WyK2SrQc*DCNjpq~-3I9j9HL~4Wbgt?+1*zT0=&0yew!{~xvk3|ch5)WcEnVH5
z!Moh5oW(U8#KUYv>kTzzD6WiI;a?Xg+px>;j&;`nF5|YR!o%(aDb%nJJwGZ`aiPlJ
zoJ(3XU!;?!H_s#UE5x>yW9>rsSWPTB9?471j)~&j0!-f5ofJV9E`+$}OJOO>w6{HB
zAKy&-wfPeM!hALqKM%68qh_G6pfAUuvhOfG#nM4=6Bg)Dkc@7@!jbzoj%=Y~Wi+Y^
zlg$e@N)bX7>{3EVlwrqt&!>LNg9>_$^=e7IUANwwR+~AK1}2}a=Z}_@4XPRLZc&c&
z5nI9h?<#4|!mPJ!+NF+XfpMziECIIb@1du#3A`;~zv*pSv6W1QfgF_cX9ccXO7h>d
z2ibzhCGvDii?I&?>>)uQP&v=@?NQ}=Wl8mmY?WMXeflx?N5w#(Xz%BHtRT(nh?#wd
zYwX~%N4WP6#=F`NJ5J&lN7^ucOS!Xyt1KRzZ$#Ov&G82F+K-zW$G1hcQy1;pyrdZ2
zu%ODXR-ey1NYN(_&_%iaY-C9u-zJ44<9&Fp_7hxvDPq}`{D52%Dgg_`;9v}CtX((D
zjYVew4dAF!ZGVLqtH))Fu!P-HE74~q>N**dvd>>%w+1-<EG_6o0c0!PuD&8EBo48Q
ze&hLE8;gg`ZS-*8LiPFB$%T^6S?N3T=W|I8Z8=8|^7;&f7#-}X)=MDLl)BdUQzFu_
z6dsBs05{L)Ny8=WqVt(M0zP;0z(LsYljgZl9gIt3$PJfyTke(!PF$sEgoKQXi9#dd
z8ZA2Sms6i^5EABwvy6Pc?plxCrswRa*5S<A&M1dOamOR?aLfCp43*Vny+*p%Ga1Cf
zD7~KcLthZp4Nv2>_PRsz-X6YOFF)Z4O<*eo0@<fldUsP9y0jj*8{jYLV>d=R-;#_^
z(J5^1{)oEJu;4PYhqXC^D9@!c-<F6&$kOcQ@3{ak%Iso36Gf(%;->`L{UjO#ECL<&
zQ{%dIY{mxl0ONEcvpx@R)jK?jhb^AlBZjBDvsHB7rt}r50s$L?q-aK0S69)KxN0y<
zt$1<{q{rgY#LNsaU*|BoO=f!ku)>?!O+3)N=x<C&eM@4QN~s2+>-AZ6#H+b3_N@BI
z$hM4uTm+s=dE~b86YJ-R5JFfY;B1XZc}G_EY2RH&`uCWk6(*&~;V2Qf<A@#nd|rM;
zi!<l?{A5#FXDW~$HoxuwlN#b%!OK%H>-La#!K=^kdpt-~wmY%47^~qd*Hna0A(9S?
zsf)Mdv67WZC_iE9mHCDw;0uoW3u(>mlqs+=VNo+3gRqEZ@@YNNS`AS9-;KRXwzg96
z%j9-CM>I8(UVhd+Xb(Sf9pHuUvC6?{kVx1^@W9&A1?b}q9+;n)QvkVTO7q<`Gc?ic
zU%pWfD<`MhJP+YPSG1(VWjw2LPEq9N;xdAVOi@SRbr=|Usbe~TTp}+oFY2}~@dTtD
zc=%@1@`l~QZyhI11MCXT*2P~-htE2C^)3f%eAWo?Rh1n0!d|F@s<;BW7lX5p@;p-X
z;wHRjjIABa*^faa_GIn%{J9e^AY_`uCgKb}4^$P8#5J2zaB@LeUwMKe!;at$7Jl4V
zXJrKH93EMvY3F+Zv~CHULZ4=JPM7z5^`3P!7*(Q*1}oT;zE}KE2N`&AI|)Zi?fRmu
zmea(aTs<)JNs7&WcGvfQwrRg#F)l`nHZ4|P3#n#u?YbmgpsoE_oQTE&_WtlOvx?)r
zrZ1ijHyq8q0Z%MW$4<VsJzBfLdzW^8(=4;13F~TjfgF3pS<~@h9<OKYfV{eO38KMY
zNK%^SCy{V{?rmEcG{_aF@6^{Gqke`N#lx?=YFm^&x=}Cx{e-WNa|%KvW5s^?zF}?m
z#rnq9>1*GL_`+QMH4hP{?;%J_ORF{6dUF#5xG7OPlO^vyzTu6N5JaQV{SO0x@TvCe
z<6#a}sH5YMbYp!z^?LJ%51#^9QSyxR^bh!L{grT_;VS>DLK%UiPD17SdoRrVJRErG
z<C)16&So8|tUX+43(g3Oy1}TS7OvBV&&8d>5s9zySaRih@qS8HF<3<3lL9#Vy6SjM
zIE`76dVo&`${85d`d(U<T62=ZrzjQ*liK$DNE*+?al~SC;|aEKsGCoi;Qizk*%nva
zOs+Y?(>O^nOR*BYazQ0X-_`>YegXBzn*7dk0(Z;m^-04B?R}7pak6Asp60`A;r$|E
zn;tcL_mKm@Gyuaw)|Oc*-S9+dBc89*Zjns$?QJfD0Ddg%o00+xS3m!xp>)qj6q|!b
z_mH#=+!^h8!HC0XUiQB~>mSB|ks`FMUwg0{vCob(&Bmg*#LB6Y+s#|m4yEr)l>@gR
zQ$?=fme;*8T`W9sk%@gDy89;dhEulwz}ajK9)6Q8$9?kb59`4dI*=qkPhjK&lAD~d
zEvE30-nwp6BrPEj+Nip>p1ECl+l%~{uI^rcfm|KafJ8waOZZYiK=UV?w|<o|z60dv
z7i(levKieV%U`4F^uZ$45np2HetEwn`SnpIqB40J%n9|HPc~v42*1Ab#+M+{YQ7N*
z&F<p$5YD_}RHH=n!QSx7xxnhpos+A9)jr(5D)iF#Lp{il6?aE>Jj%o@H?UyL23P07
zH8rQHC9<fM{Af;vErqlyi{93=$gmY{suJ~(%J@x|OUh4>Ew-2Nw8m)r#uUzcbWN$f
z!T0FjYqrLC*L}e5)SPmT&Zn35Lu3a`tk!r%rSec@WBVuAB~$VA+rVC?2<5T6j{%pD
zo=Ky}p+K5rtEDMU5%GV@$n!71N#^0F$~zPabGvr;@7t4T=2t)9{iU8Zf^rvk*-9bT
zCylwfyc`*VnVRNgt8Jz4;Ad~VG2wXr&r?46zMA7&I&iL3L2UOFFfJze3jA3Ab+d-W
zlRE4UR>pj}p!32qAS`WzVB3k6aDCz%p^n?$?RZ8keq`w#bu<sa*L?M22ad?n$Okux
z#V0tjt7<*xRt>o0pD*IcTiUPtg2Ay<TidkStQ&D_&whG7yXTF*8VU|QF(?prg=Vod
z-wr1bn`rX8waqDq4Dh&9Hn7rn@J(q%##Ny)S?FRwyXVv}6d>y&d8w1`v9?N&hxyrf
z*-2HmZ84udVJZ@7vG*oV;5j)GGoJm^o;p{>S|ZIji<I^S7@jqkMdFul7+X&J2F-#p
z!!R$oM!qu-2jP2?t6K&TCvKU$*E58a*b!$65Fl5ZS$^vM=Qw_3m51$`XT557D+ff0
zVmq)LV#?3X77_xnFv7XOEeM|#9x#TS<u6^`x<^8CK$@2l{{RZ)QUe*WrPGu{F;n*Z
zLvV22y3c%U7otxlMOQxhgzBzvQ&Y(J3pF808MnBFpQms-uc2OB8m6z$BBotUJ9eHa
zlrFk*OqjRxq7<^KekBGHA!}o%Os?VU;z0_T7~<DhUf(F)!?OFWDZAnB$NGUQeiu)^
zsHfGJEoe#coRxeshELA@b@Ix52UD<pI-fFD#!YG26O9grmk`KVVI%LWn%GWKE-3h7
z43@?o^*<Rwe;z!9*<e_<QVn*J^6i-{a@DT~#p8)RWxGV4Ee+V0UMl?o%0qaNCD}P~
z6Qvn1!Zs^AHWk++mN<;Wh8jQ1%ZoBlau<Q`9<H<%$hzEBh!jM*0xSBPjs73uzqa_N
z(<nrms&GBTSwLN5Y=$Ibx{ou1co^_?iXBazUr-=6NlqpQ#M3($vr|%0t)E@Neta`z
z<$x2I;4j1ym|$<#!uJ;45>NkpYM_!ym!E%P)H(g8<1N;&;qr0RGVjmxfoWsR&1TTZ
z7<lboY(e1(cpN>ECiQeDi?3xUe&gws`J}2EhN%fBxhUK(OJ&a`_ZK=AyK>6#dj1Jn
zaF(fR+dv}IgL839lJU=1YY+w?dE}0bzZP+{<9lBN`$XP!8*4Q`s@LHRAkT_t_k4<Y
zYpJG(^v$v*;B)5`z{o`lNPcMv@M8@M)<$m%O8D9ro1<QC3y6Gx=Kq`{@v1ja;zk{R
zry*K~<_-+d=8Lop5<8gI8~^DYgfn-aV3pyH0dYi=FgzrJ1)wikJu%O1ul7fH^HnbQ
z+_ZsPV61E;pz*a4E6>RrMIT=mV&Czf%#Dw){;wc;)ost_u9gD9w#wd!Ff{98*?Lsd
zYTo9ffIqH*X*DR*p;<THB5$gW>5L|3>hJFU>&>$~@i?WT<oPXPx$BAMD1e|#4+oMS
zMr(6OV-o+A*@f7Qe77V{WAp%hEC6v2>381pX0)_|{#pU1e7widv}>D-Q|h9Q*RUmb
z%O{NJ6r|t_^Xyl?hMVb7Z#kE{RubbZ9sxk@9Vbc<5Z^#u)^^_Sh0hC0$rQ#hD}A;!
zgyqXH0zM#0N4*k_>s`RZ=XT*ttKZVYh0myvjDid6pu{%9`Nir1>HO=A@wF4?(&W)I
zMhIyYn*!Dl$ctG1U1=N}srh;Rde9C+2exvnZpl?LxzsN|W~%fEp0J>3p7i_Vwd%m;
zI{FmMPg#ey{b6`CNdWJtw;VYwPz(CVge;W+*_;5H^O|?dLgEX=wRjf$FN}*%{==@w
z-(3m~*>9M&co}yXoMe!aroENohezs(yql}Vk)RINCqw;38C~5RJuon!{U#!Sf0Fd^
z$U%4LZB@2EU9BD<xl#{E`7rA*(=8As+5l1k=p{T50Y>~!%XFYcH=}?RB_bL`0y1tA
zzOuKt{Q3o$5B%_0ivMD(wrcV%_9t0E7{yC-ozI5Y>sIy3Q9`QQWR9(lBI07g;j_AD
zYr@M&*SNui^pOFF{2Ir-?nfytuT#hqK=9o_AIV4>jrCfzdPAn-M;w`99C0p^VDW-}
zH#M}l=K37pN%M0siG!V%()*-Z?h5I*KLVsYZW$())K+DzI=9TV-f-}U*_pM*F8frG
z#?gg8pEEH1#A>m=E}3t-F>cpy7sCa8sAD~EL5Bl1sr+ojMO~-IwCcMEG(J4(De@n!
zyshv(`iM0ZeZ|JC5^qNq9-<n(%&Ba?cYtkFb#5ZlekBM&F0-8VnpiApjvvJ%BNe^w
zToly-C{JIxQDjyei{NC5J+5~T*Y4)!v)b{Dchd6?a1GTQvN?WiL_2%1vnI@6BJ=ZG
z?8e)-CW|(FO;6{G^&Jhc79-_>j?cpTozmLXm7P<HhpIY*?7n{P?j(nuSCuqoFJHF7
ze#PZL%({O^hW?l_9(Aa_^>{?5nClbP*04aA3$`7MY?#Ru5LR>8E8cAH9~_8c0fmXW
zL5*igmxp=5pKY~E!o|c2^pGqTW@B&jd7mFznDwg7MqzL%8{1aIqA=?k*W}ARp93)^
zC2bRiYWH7_s#lcLhUP(g^eI0sYBW{norwDH$7~rNY1)HqB%%dX)~Quc1wT|UJ$_hM
zJZ9n+yM1-wDC0gzT*7lpO3_c1mag}oDw>}MZ5OP6eR~MydU4xQD^ED-WEiB0FX38e
zcF6aTR0Bd3cQJfI9V=AaN0Nd*;3Lhh`c$|3TRif}%99krdi?aZp*w>g&RAked@i-x
zX@A+EU=)ko3(}S%-uTj(+Un&iuuD_)34K_}N%asfzlz>YkgI24jU?^A?Gmdxvhz>b
zRk_KTbzz%vtq3*sv1%Y)RJ6FRZd%&t$rEbaSiC-uA8(g>*WE9^j;i?!&?dYNa&~eW
z@eq^y%=r%xIZ%{es(yICAp7*eY+?2!nJi_?6;Aq^Y#bsJx1Z*rwGzK&w=a>8wS&^V
zB^{|Bp{A84+>e11g52A}_8G;&o4#{0&$zN_74RDm>U@oL0(*mYoij{<;P9M=jNula
zy9JCYIyY&`yb+4OFoXM)*#M9YDEQ(8kSly22?~9G&PA}W$rUEWg?m!qBGvTJa>OPj
z1w{2$Rz$}pY1x4u`M3V1+lbk!Mo3i+#U?(V<I_WH50jFNuj{NPO*kPBgtXk;$wT5&
zs|ev#XXPpDLFipwExsPaS5)Uos{XrR^1t=>zVSK9iybQ06tJefJNa2z-RZo>?m+yi
zS+jc&=nXjr;!2u%fn*0a*~booIo~?x%)KdP`l`#q`)RDY;biB;jiV4ozB-~Nx4eM;
zz!mBo984#1d5kILS+lc%g`|-1Qo{votYo7Cgd_9c`<pQqD82N?8#P?d8DR5tdCKq(
zuZ-o~2Rqj<BXT$Y!%2?{-SNy5Mw?tP5ihOy^rr2Ktst^aB{yd{%f^%-vxqc%9GP<U
z!}Mk!#nD;0I)y(RdBE1z+;6J8KHFoq>957Enlj{|r7x9jKtFiAv+;Z$QiJXt!QIK0
z(!DRCnbM4Z-x%?6P|$oiqt^LiSGDkv_tt&j1ukD6J;QS!X!~%sumf(KY3#F@F<YP!
zNn<z?iDMb~2nEI}PgS=Dg3_F=tqI2~@=l#_edqp4$Z5U}3UoFlnP`rEj(PY^bxBno
z&Ea~xSfJ@%s2YP947mDq-m=^1(D#xF-6ui;Vy^o7`X#S>15hC?9i88)w0(VjTl&KB
zn}M-eBtj5`%~#Fbp-n759+K77Lm<BJY(P76ffoA-+Y0UKv^{mHMAT6;%WL~&9h6fm
z+?3^(WCTOApb)(Dy@VFWGz6;OR*DeL$THvakzDgV!P<O%kECc;!+LI1(RU_3E%_@~
z30I=A|Hw(U8R@j931ZqmUJop*)&#4mR<xc;l)xW?gA!Rsq(sAnuFMykK5nhYAWH8E
zq6BEv$;I4bT%lDm-R)ZsC`CLW>f^7$HZU5gef}+qGSXo%a1Vwh>5FI&3<%}qs<O0U
zCxz2Q=00KO$IKM?asph>GR;?d;_$!DUfQn?sO6hNWP%{K)2sEl8dY9%-7(dRAOAhW
z2g(zQLV*f&1>>NhEJB`f9SUQtzTrzITt+G9)&UL++xE=BqwLQqy$Fecfo2He*Y8f7
zOz>PDr9jqVs(D?ZvFXWB&s1J;T1-C*pK{XpCMy-oC)ILkb=3`l0!RykJ)OAKSO~ZR
zOp-%&iSERErygKA=T*d~C=U!WI#zj}YMp^&!iy97A%xichhcmXo|Qd!D8Ufnhp*T{
zUA}}}?SdiLBB#72Bb7pA5ySUgYYh`Z7g>ZAS`77%mWSw3eGMaX+nyXcR&m8gBuEsH
zS*E{5!FeH_FMyK9L33|WH=XB|p2r$?6iM@cJ+Y2MYzhsRG{>2Xit%(b^b6(k+9vZO
zCKy)|#s(QbpVO`T__a*>pXc2l+f|Tmi#ZYL8rYr=PTB-R5aZ8f$!}R)rlEW}K0pm)
zEZSrPE3qShMY()gZGs1(*O^m%SUp?s;n4pqmStSVW90QXUy0y6d<6MRxyWw}R9_dh
zYh@=L+49jhdQkz`Vc^vdiD(6Ky_9nW@|hda+qWoU#rm2GZTzUQMJv?XeQY)n`W!GS
zP4-=&J(#8)u-1KRZ?TCOkT)bNdObeUF+&2vBKuY#3<^ePY-~(t?f<;s@_Oa>61%l~
z9aN|QOI-0I@Ok5;<eumgoIpPhH4%$%u5YQWl)@&-V~|2Ln)kDZdR4?=3}|j?FZxUr
z#iLFWQlH^8mrPJIdC$3CI-Q&&(VF{UEcU}_i#SA@7br=j>3jhi#RBUAb(fz=YK_56
zm@Q`D+16$o-_Tog+`gNGk+ad0pAIagBF$rycPf{nIqAB>(Fp=5`Te_l6%tYCd*f)x
zPXblE)0XSE=gW^K6CyW+&5@crmhEAh(++}pv|@^$08;q`sF;XtJ}+z={oc(+zwR_m
zpKHFfgpb~GuBIJp40qp`b%b&l)wbV`cmWe4Evpm9Cs;-_%3~YJmG~UElWM7;_P@U@
zTCB|gK9RHI&dL7oEw_KH{mo}dXH6fDu;e!Lz52^7nD3%jI2Mr5fNImI@rS@bS25e(
z-oCoI`I%Y2hn{56_4)qtj`Kf<IB`5+h<T8R%J_yK@zY}K_$j9CWVS}IE+(mx&?+)4
zB=0b9X)!U`7@sDvA-0>BuiMG{mIdfJ!C&`eae1hPVB&iSJINSa$cPS<%N4whN&3tI
z&Bn?vzG@zG-rlgnR(W5|kOpS1J$g?1^X;!_j1nN@$m<neuE9J9a-H7AJ9<=mcH)D&
zM|8v?)ozqj4lDiYdybUNIekD0JzC_$%0s1Z%Z7W%Q~X!OpCYW<@vb|Q+Ygx9z>v}M
zV;+}nFh#}iy)$MpkG$S$3f^Ijxwb^1{4oE6_z%g=akW-1sCd!+JKwthqt!Y(y1P`T
zZpKghq?5vMNuNyNzN<BiVwkUyg#=y#!CwY+fCis+R)QfqAEJ{q{#T6ytY%&aeP*r~
zg<MA()-9C<Y0F<f=bf{%lTdw{KRGN}#%(6ySCabco|*K>RD`K;F^w9`pDw{_gz4c3
z&y9vDN!4SagA(!UBqgD1x!amqPY12+`4i5>^;7ySA6#G@_7&RacGQxqvY%K#Z8`Ml
zB0igZRnNQm?4xU%3DW=zO3nFQj)AeG+0xUt1Qn-!3qln)X4x0F>xN7G+|D!oJdak<
z@;`XR7mnx&Zd2-yqWpA4JMaov2WN3k4LwvcjcR;Uh<$hKegBka=663@WY-yr_IMvr
z91z3n$+nZ}{BB>|Efn;=eSWms(}KonCi?Xk(Bz&r(Lxhs@)n?%%%Z=uw>8iFZ1E4a
z@%<(iU99_`C9NjKK7ceI<QRcDUy}tg&-bN1+;cxV<;O=Jo8ixB5Y>#3$0|=OEd_`S
zK$ZqxMBd~K2Aw$2ieW|rzE4+Z1Giq|=~<JBs=xrXL?+dMdxR^BV~fPsD5^SlXg%Op
z^N>D+dCdCdAZV%u%gG4MdGH`;5=WVUq-MV7v@n(MpDX|-9i4QqyJ8c3*N+=;IX^7p
z)$A<Oqd6Z>5)$-N2)-UE%5+6%kKhYmNVkt5Kc3F5;bWJIiHLqZTYrclhwpS;LSA^E
z%<+<v8No-jWF1JnZ#e2BeT&PX0xIj75?}7TIp&U6j;<Lrt;-Z9pf>q7pyh!z+yW~8
z>c1t-skdGkmhkh{=d|dihYKfL>;NptIcxLZQ{#|w&7S+n&xEt~Nc<^L_ap|3U>T>T
zH_RvU!oOb^vBR^4Q1hH0{tAVSW8p99-uWr(X<_iqp`q*H&(~u=qJbFU-^hp{&_wdH
zH#q<myi2BNnyCK(1YMRIP)W`<laZL~k~|PxI7E~25m{Rf5w(Bz49~{KhNA$&!VQGr
zYu}Qli0N8(dmD#XO)TK=Xu11Ny}hNYpyEMmEgrARH(G8I-_M4<L)%I<Yy=ZRV!<Ai
zZUvp8U$tH%53Y||a^0o&y=IO@ZC#)FUo1A6$kyqzy?a~NEV9vi!y^!;W5HGGm%FA|
zgTm*Zbi7`Nkd>h%<_Ns1Hm5+ed+vS#?$hhwz~E^~SIh0bfc;t#(Kx6ZAb4%4B4S7}
z2Ybv~0iEv|Z7QGF`m}IhAhb1yP;8B#T-mLYe9$M)x!hb%U4?wAxJ^pe8*;~|i)aPl
z<QqW0Tsb!7rs{{h8#9^#ZX_`mh5jv2Ehwslt3Oi@LS0suB?NlUe$ew#U5JI)hYCwN
zxCXXrp@pnTwa<s877S1^(+q5}(4PT(<BMUDse684;HtTX1dJvvtA0?wo(tSe8olFo
zH>DYjH9j_mGVZ#h2)bHar7iN?9?N@IRV8MbaXrb#QX7K+O5lE}!*-k6*wVQ?ydjkM
z7oT4M=IRXgY2DcRecW&TN^JawCj*Ae8X89$pElGzo5a5nYzUET!|?<q2qcVJIZA|w
z3?#J1g^-4J=^#4HZ$Pl-j4%v_Rv>5)%eP{LUuPRmt+o07-u9$s(Rs&(bR|2D%q_Za
z7ycnapv|C8R~cuCDu?`rlhwnM+HT$hRE8C2V$FoPuWgt92xqF8V0vp9v?tP5G<4`3
z56Jotp*t~7=H@S%GU%g@>(&l!UYh-xsFJz(H&#qbtknv6X+RopGB>8Ix#7vBimRV1
zHT(cyu0WSn%!i_7hj1?xA3LYjs>nUJ<vWoFVBh?SG=<3i@CCiPGNGO!GHs@$Y^z&p
zk>v^1)&;(o_AiRBe;tMcm)F@XZK`>)-@UdG&GlX9#~9<KJ}Q1Q`3JPfm5!I|KVEdz
zS1aoPnWfq9%gP39$>8c>#o7^5%ABtH<j#M%p`&Cxi2p5-9dBz(O@<rPMc+|v_wv^j
zAv4;nZa{~PU*Mlsdgw7%UDk4kzn`O`EH;E!2bxU_uulH2D&z!n_Xg^+bgA4Q8X@#J
z;L1Xe)Lbc}X$<rS{H4O${XT6%=dq$p@C35$GUVJm$0h>JhBu|c_)j2|uVzK^-9&Wf
zZ|xQGLhwIpm@MEib?7iHgh>h3``xyQy%mp)64J6}H;kcms6pt1-)?bp9V(?)-D!xg
zI$!AZU$qZu{rHDDHzi$Lc|~<sWvxMMFJyP{Y=_@f#r0Z>YlN^+P$s5#&~6R|Z!bqg
z5!QN9sikzBlE!I@aDjDTv^H8uJR=V;x<z`RMH(_QtmqFaX!sAc1L(RS#!C?~ZQ<eJ
z;=TvDFnoCU`R@>1HMM9MUS<g!TMmSU;}a<eC7t0H7miE(IvyHol<(X2*V4OvJx+{j
z%9kI~_&{$d2=tk$!28ku{kt#TmE%Em4fxF3>+FO8^B*{L4oXj61N_^bm19|;xiZk7
zm-(GCaF%8&Nj>J{&lhPtig^)SxS4sogEriGeOx$bG0w;5IT*H+6mIOc{ddLG*GLyy
zx&5T|9~kVLvlW%=u0TyNqp@J*;p=On=0mbjj9{k%3`?`lls>-bS@*%~@HxZ4WEhPF
z!s8@s+^nQqJ4#e8@<<~$`^D`7-OflqQ9y6QBAf$gsB8!IpPEF73Va`EWCogsKw%|o
zL8rgMWbzf8Xr_0vm3R!$KfIvH$<!&#f`mNG3AJ-2nTL1DpZ0TtqPDd*B1p5$bCX~o
z<PMwBv16K>3;Y4~`UM8-y=fc8-FInzyg|;ATWzGkN-g7k-8N0{&TuCi9`XQF_DxNt
zlD=$fYtvR}m1+s!e504!H;~BC_xUr3-?Gys0!sSo-|sZ{42%7FAsgfo5r&xP(DtqC
z&`<BJOA?N<ElhulGYN4G-lu3O+Uy3?jL<Isdi%;56C^`>Rc``7Ew0dbFlT7phYB$7
zd5h%V4__}Ol%-D+L9s-O#&wqrNmovL=YFDCFH4&n7?_^cP!~^&N6)_ypxu#P8T2uj
z*c6@TV>k9rZz9rt&>50=<f_GfgGJ>a+vno6v_VD8{~h|^OSAxoY>!I-ewor?P5?U3
z5O;!Nezd4639af{QmF~ZE(fwg=t<ZNvPQopb+>H$%Ua*p=`6@8F3Fnj8@$w(Cf&Q3
zLh{21rt$jZZ6sr9428tPP`#k6KAX!Fcyeo%smg!aKiwG|)ty&PEwM-z_)&F>8Gl5d
zwL!d&MP{DjvDs_9Pr|x@`!1U^Pe;kDIugr(#-AYbZwC+H914>kVkMybc(Pvl(|mAR
z1}uRrt0J~};X>QBPAI{+>v4hQ^U$bo;2A!5h_Art^QPWD9G_@&zoMx)ouu0j!G&j)
zzBFjCYi1G2^>9tZM|Ga{p1upadn}JkvrKY<1gMg)AZbwU?vCinvy}6(#nvz<e5COH
z2U+=O7#|0D321>qeD{)iKAlZd*2Mk!4ZSS&FYZ(0u6T#k)w1(E`FqQQjM3u=y_mlL
z^-!#)N!D&wzY+8_pv85q;sz6!0EjG*OKxnfJx~ozImwt|#ocajFW?NT<@Ot(N1FnZ
zz2;dMVt$_(e~Y|2DMG#Te#Vi|<6)EFM+!<y$0Ly{F*uhx#Z@D`P4)2!3D(xuz)Z~A
zkAZm-NvlrIUe^DBeM_anJ;!u|o7QS3Iq6pTmLS2D^hNOQ(!G&*9oD?j^-BcUVs1K-
z>df1k6A4Z7G>?8%_vKj91w?szC*-FBt`i*=UMoH1E!Xk@A(XSsizk{8_wmN1opkAN
zb>WdyXd0SEXDiDfS1b`K)G4!IL@VFIWo~RMAj#uHvz@n$dSefbT>NHlk0Fs|NU{!a
zr0&xEMSn>2i%g0I7naL!o6WOinB*hkwg3BFLmRM-d@Ctopu@mhk(Ww?-}56q{Yk%k
z#m48YJxuF3`KANm_nQ2kTF{9IKsi)D9!!@_$vbCV)va0<1S;8o!D;9fYjvfFC23G8
za~?uHSHiO&RF$^3{_UHSL9z~%lPw9d)Qh5}3_ZWTILXS-S2Z_h2#_tHSzZ=qJai-X
z;{Ipxb~*KAGcyTM+uV1IFFX9aEv0VUYnTd7lh7x-tXcL(m>n0;_<`%dWTol@<4Bq+
zJqwS(-Q($qt;RZcM)RHlr*^!f7Et+1H<sAo#V%~zWkjlzg7(}4e-brVQFRz`3C%UH
zs-6qSdJ(<KdTpB<)|{a?$$ej(Tv4iiv=Uw$58#vP)pAN5LkS4xWT~>$MZ7<6Ce3jE
znSj^EyY72uz4Y%rww6L(c<zijuj$pgfU2;%+*_`$<#GrLdhPv{ix57ET+$!vct8;F
z^!8|Vl(RLgg7T<yz^0FN)q>$42f}ZeX=l`L6M~76GV040BXZWs)m38dN1QA*cmv1T
zfPah#kd-GTCcfq-i?tfhmwB7KJp0jd)#&eCdNhdlKnPzEdyU02u8r22<kvnYb$+hW
z>KvggU3R~}?9Iu!?DfW+>jPCta}29_)sx)q5se$XX$3QMV^QmhgR-@p4SUe2dMvv=
zNb{R=C_~28E4A1j`SuVRd&+HU{q<t^5!|{x*4sbQDKgcS+h@3_%AN5WON1u+mrz3A
z`OMxnr}lY4v1hjh*6Q8|E2fv-8*jS4TNig$+_M_ictpfXN#&o@q#dV$`EpQedcj*h
zE%s-_5T}KhRcInd%u~kzSBoul5V_4Bm1TU~?64(^AK6Y5$~Sd~x8#RWs(v@s7Evxs
zo%u0(_~mi5gx<dCe_F1@Nq_fNmV=YhmUO)bCahp&aDzECW(gEg%9SS`$;rVH&nzt{
z_!nu?W<ztVigeJ;#WrTibDT!VBqKAZewpc(HBbBSYG`e{Tw?3zEw*HJwvixKYC@+6
zqg&T;jr;FxEqT;9VBfzOW7hz3AB#+K_<O>~a3L@vH6UL!^58?5Y(!wHxY?uk*Kb*0
zZ=4UHVV+9_M`sHht`9^d2sutv;zc~55iIUtbHM{^lVJT<R*e++WR9J#Rva*dofs`n
z34GmxuhBTwVf16tk(%Rfq{W5bMzzGcZ=~L4g^Ket+{7<=$_{>VznUREE*^=+XV|IP
zY*8g0)bSSEK9pLnm}f2|{5gww{dP^q%Xj5^wPy`&{Qc*($bfgh_56{Q6p1>*W@+`Q
z-sIA~Xt@ZKFe~R4u6}&d)WZ=eE^2|A-oUv}aTLf>nhn*;qCpoZjL!7-Ou&ZYtC-Oj
zoplUB42?6Q>Yz8*6@0#DpIUy)=os+W(ll%yzdBKiwy`0Qal;L2y_b_2qI}g46>45S
z$azmlC$Zoy6>Fz=EVs7a7p;wmptl0Zkr9n*dcQYAv0?N92$Q9$sW1Q((bmibyp#Lq
z6mfZs<zaE?P}ExH+i-u)yU(#{y<o?kp*Zc_WtA&#>&<Eylh8nODD=4F*<b7u>2#f!
zZx(C@l3rhr$nm4{6jKu)wobnzTcp;!4~6Bk)IMwq8}@X(PVgpuev9)|#Z3I^zDkKM
zeUsSBC9el6d+FSO+vfg6ScV?1Vtx#_m00ye_{F9pp+4I|wj5k5h~{B@!61c*x)^_*
zdSSGpKO=t|m27nI^z$4db>QIK*S3nR@vjzfka<iHz00-K0tR>Te4NmCxu?uUYoMIZ
zq$DI74M>ePT(8M4*3&>K!Gq84Q_&|#IX1PF8I<qed(x!y?`EF!z&^MTpy8Hp0-~<T
zWm1M~&UGZ8KXC<6rTiXh-<XARIN;dqZw)b5=%|jo*KF-A7fVmR<qoen*hCi!S1hW`
z{h%KY>~*>Il_X>5ZtVNy3zc*8DqGY1swftWZ_aIZcLoz5%o!_;m5k|b%bMMK>&>S0
z7L`aA(69KhNuTOP$yDXOuDj@Qo_5OI8fNM3nsK!P&Se)>e4PnBB)`WAtG_WxGrayf
zC*>EsF)J>2MQ4^RlMsshYa86%3RU7^Qj#nX6$0Vz>U6up0Powe=&}b*=IW%{A3EeV
z8#6AJ>Z6ZG*LOPc%&sgWJUQK(H*l1Uc9eyNdY4&^Q(CV1J;ELItz=(XTa#uJ1apn{
z!OarC1WI!aCS;ceu3aXP5W7p&^Zs*L02kO2XXs1H*v-brq@lAb7IPC5?gizu$bUB!
z5tb^~mfnW=tf6J3oJ?n?Vku77+RLA;2F(uy#};GxI9{NxqJ6T!HZ&I>jKI3H%WRqF
z$`!al(KxH`PbL&buxc!D&3olDB>LfBrTO{Zz?^(&s2nn2=~c!%f{Z2Z0o79pr`7NS
zsF<?5#o~bj*f}#;Z`=*Pb&0>J!^_!O^BsKAQOUEKoHO$VPmGcu)qkxb39nj*59ubv
zv_nmL8s<-^v$~@C_2_JPTPLVpUh4Ht1^xN?zMNK-e;q@*d%eWq(=hJxE-WKmyvDc}
zwmE0_U;eb&xHHBo_fQ=dqZVJ772V-4kZV3*<+jlB+92R;<}3X_I0kss92mPZz^7$Q
zzv3u~b7+X`s1ZD5{)%JFdMGSqd_yLCLk33e{68rbAaAC?i(xg6Fv2|vK5O_)%jujy
z&|o>GA}uYNAcErB>Y|4a|4c?6AoN|f+dcMpn><wAE`H=O+PRYYmDBwcAJTXYyM1!|
z+lRO2N%oV12*pQ4bh7ZblYR8)Y0qKlwWk<z$&_DpiOl)dLhXOyI1KS-VEInH>7R0<
z+WKLCuJ1z$U*p9&NE8Ex5^aHH=_^pH_(ov<aVYabUl*^DJNGY|73#|__cvQfM*+J@
z7{n)yCoev<%oC}a=($@gH|HpRx1W<|2nUedVp8|(pD+B;AA24R+Lk{LpP>?zK+K1F
za`Ef1%B<WDI1cVTK{+2uU#R7l-8K?CJ1oE2%8{z_aQLs~G*nyF$~<z{m8lM)r5@S}
zNP7)F9`q;BsR|NBDkhI_ZExR?+;<Vpi9)Xu9m-ldueV-dm%*Rk#d_N8su`f2G|D`S
z|1mvCfM5Y<q%nyzL+C+WjF%G)8V>ueGg`v4_An7j8a13Y0)8zoO(}+|*|=B@>Zxxh
z0w!HPxd}Op&NU+E!`$AY>UxYWB5~<yc*58so>VsvBvqDSzS@%6fJ3&6)t7dBvwmc>
zk=$>+&edgdBv)v<*2T7gfpC{eDH|6P$nOaVwKdb3*pnx5@K3AAgoQK^;8?gY>JqM_
zK9^A^5EWLZs-;&^>f{W6H(V$jtxrz^VWKL{2xgyixth=4Ax(ysKtoaj8*}@zczrx(
zT=(lGDdE$%O`91TzZpT4yxVcuVxf|u>55rlm^VZGs<Jk<@f9m1nG4{T=zC%B%jch9
z*Sjyjy_ED4B#sH8tb8fY+>oQKW~E6{nI@O}2C}@i#{A;tOCcZ%q_mXXfbYk~P}(y<
z{mY2}6qU{H>sYT}zt+M?a@&?saEdJ-=Knr^|A42^kijGr*@6A{2++q9afW!=BUHd4
z^@~bkbl-a%`-6;H&fAP)86pyF8Pj+df$xa?c0~ERcQ2iSj>JA5Z>iO~;-+uiDF`Q@
z7^6oeFD8oO_fUQ1I4IRy8sCZ4oaW9gMf<%*VZ4OljfKPFuXe>?p;DyqQh!L{m=bAc
z26Fd9fHz*V;xi&IsO@_uf?<QDd=0aLjxbwm?7+zm$lwTbMq=^9r368oEgm-p_)?3u
z<=@gM7<O~?TX!&WkA9`Zi*mM`@_l&4A=slYGr3^L#uc*&8Pa<&X16v63k&mL09#PX
z*frMtTa5vKZ5Jb~vkkUHB-HO@RBV)u<!EAp#NNRn!LzxdViZ)Lc8|gVvs=}bn36(D
zE;TtfhgUW0jJ@$=DXPuHTILh%eHt*&eio3~{H7n~A{u^O-DiIMHl`t!%8cQ=wXw~^
zr{%nY&D9a`zPfjIBTB!_2oEipdRlrku1^C5Ze~{lqiTjEVhBlWSKK3p{Y^g4KwFvs
zy~MWG7lH6<eL+{ioEa<0lwaaxrqUzc^DL^x>(;OrMKEY|%`F<;T$?OJ_AzEyp)6s*
zoZs?5>k`_wZwGYxzfU8)+~xUm=(Iyc=|9SaGNfM(4TrUC>W|oW%13%~(o+hkp!EZU
zF_Mv(X$U{q;6YMhFL_IYN;#boWf9XPhYV%8At%NL^H9!*?t+37GfURoK$V{R0){U|
z+xnHqHPkLrKj1xA9ELhBRt5C-N<WKXD{&Sd9*qIHZqW~8<bB4L#sLWkoq~KGf=<C?
zwq_Fhvqt+Q!aI;oWldiyb{0@iYUDQmmPj6bF?Cb8iC*domdp3wqCrzqI@C1Bob4|<
zxK5HO7yt&@<W1tr<u+edvJ`TOi<j!Zm|F`h`6*%#qhIsa83G(=yJ6@10k_;u)(kwP
zMP@j(hN+G2!{oAF=z9o$-6S?D7PJM`7*Ru4V=feV61YmZ<09#MK{3v}tnJ<xE6ONg
zN0Tmk(M|mbD2xhz&dXAb&;@TAO{mYhGpxe-?YL>TYvd=Jlb{$qFkBqIjKghzC7#{+
ziNP&ZjeN2vWvFD-Nvx$$!I+xjz-cdrzISDi;Aq;Ket68r>phi5YeU^eYpyPoMKr8t
zhXk69BmR|(NL*=Znq$6pUxtt(w(0Ebs@Zk<QU%ozVT(H&OJr>@$FJvTQT1jkLEOyj
zDdG`NRBta^T#ZCsbnRtdwfJ}bm<G^~i#~RMsqNb=?~tPf+z@iK2d!VCb$@r(c6rQz
z!pD|S6M^XM#d>OLiuuG_^}Fg(6~8%0Cndyyo8Lgp)zonFfkCOPB*cV-S?c%~S~$?6
z!hc-sEVqO<@3iwvH<VM1&R7R5$c?p|ZIK!LrSq7Y(l={(TNMyD75qq;TF+5nz(EBr
zs|ddDZBFf~h~TzKPJFYo3<vvVZhO+<#C_eAehjV@d!&YWsHztrNQRqkeeDkvSa!yE
z<F(y+559eh_vgC%Wz`4#wh#BZ1ej_;_RUrY#_91xx5)p)?I4G4Wz9FWcQ@F}#U<m)
z>k6Pq$t3iT;Hd4_!7;2q#+i2jGPq~X&LLDP6q)d3{rpz2#zG!&XIZi{k6Ga(0l%?3
z#jz@3WAp9ud4!7XOF0$mW1cw8X^6E^P2C9>nv<>EuOW8g<9`K{Nm;*b$Utkt?=B1*
zF1|D~gHu-bssXZbcX45>#M5cE(wrmn{PM>xpe>t?UEBvE{P?*3Dd7QAdv0$giWIEw
z;F%TAQIo61I*#&I@eJ$gjbSgeD)r2qev(UsKCk8OJ}nfT8pJDqs>l$DDyYA+!@t$~
zSmMoB+MA?sA;QOOl<UoJ^$>^s<aqitiQ8O{1@nuuv-`)tyd2#ocG4oQEoca<#OnvF
zwlB+*3KJstgXVq;xZ9nAbrL!vbvbV`vd4WQ_S>j`O~SL!y9T6gcOk~UDT#kM0u#;1
zAn^$Bk>%Q#PZxbJ0t5eqA4rp6IV)SdH0N|Fa%xWeiFZ-6JHi=+JD+dBrMjKcfstS;
zJHL78mw)BCMQdDP^7C7I#lyoLga05%7q;KFcVTAIFm?|`j;>WV;i%1@9!MX+k_>NN
z`c!G{|Ek#AS&n!7pU9&^>_(PQEc3P?%2H1cvgcM6e{mxZHahZERP_XXdOyYBO*5`t
zba~l1bfu4QWNdkgV|Z}Tckl-?on@NGdVK-`g_OJl2G<6Leqgbcm887%&V4=}0)|o8
z8P|NZP5a3u@<Tiz`Muc^{~BS5RKQ<-`jiveCqP#wu=bS&BKzyAHH$?2Gr+AA>-ZpA
zQtxYpP$Wj#<;$Nmn>joz%4j%@YzF+y*qjHleVS#XyhVH1o?D;@(=X<<_jisaNE}lF
z#qnB~zl%n`Ck4@Ae(p&AgO|BNt2o^?XMSG#$6p!KBOX3{2(VBHM8ps~5jIwGJE7y|
z64akR+XBU$pPw%pRtx4;tbth#5&jz_;G%)W-ZR^G9kUF!6_f0WP?pvx^4NS!4fc$Q
zi7#cd&mdFZ_JhsjUdf54`x*L(#^Q(R=l0?9ERP&{*S#~PF5^f$zmO;F7y)<obH&~7
z+$t1IAL-G7`7v$p<B3=Ej({z<D2DT<rj(af;<a<Tr#?tG_%&{}`Muqw*y2B18`;2h
ze`=nk6MtXswVgeTz96A1!B_R>_CmO>#|jgwC4;H(;b*&>jG9Lp3iGNy#+_NuCI9xg
z<7!xWm+|yg)m=5`a>1JVq$K$}LQx+0IIVHyU6-p?Rf{;YMNGYc8@SbC2OD_J;i-0`
zoqlNt$xLjV`v6<}8<G4*+fRObwc+whzziaKDPX9xgc*P45M#zis3RFYf8;(w2wd~q
zO%@R|l#q~+e17*|ZGEG3=!~aN*>Y6BI*D}^-Smk*eie$bF{kbM#`TK&YcPjcyZq#F
zKc3EkU1jB><4SOH*-z&yvLc9Zbe<QroZ+rY$84gU8^Id9#qQc#IMSCJWVzu<S}&KY
zUifegF+B1xsAXsz<x8l&f~eTzp`=(G+jDT-U(b6B$xCx>pDYbx^MtY03T<TLzVQB%
zxQ@L45wwb!P-I%@m6{-(kCmB;*59l!rLYpk+}WM@{i+MtU(8@>EZ%_Wv)^P-_WSJ(
z)hd=*U)uQ_`eSrSJKqVzL7I#E$(ps>!sxd1*`6s~c%sGst<+O&7r+L&U_gI-CazH}
z$R}#~9Mwpw56SHo5fSOXFD)${aB>0I9b@y7m)7aTTno#}a7#)`-c?i}fr(Jnp4&Qp
z(xoo)-Uk8chc8x!?CYZ1+&_N!fLcwu#NBw&{8idCT%IK*<T?>ITp{7@Jgw!tjnt>(
zeB;FEi-230CwJ1k2uwZv2Mvv>82T;BmX#Ie9C65%VA5$ygJ?x_mA_c{;UQ)R+X~?i
zP!FWisbeLp!fOcI3+X(1v`MA9&pf1ken(GLXZ6si>a*=Upwu_r65GTP7o<wJ_jeOv
zvPYzCS4%?PRbt6fHV`!Ty6b@t@D3G~sw2ZNWK)rB@TE<6?;D%kf~$KXIgxD%i`$CU
zrB<D{qZ4{%#Eg>OpPlA#1s@Kv`MyfuHCQqwmTdYx?q@?sJ$5FoOU0#8DxYlmtPrUW
zu<@r0J~|btv$(coTpYzCT=~dHPIs*oq~`p35^;|7Y%x+&1yvTHwnK{Duty=-!ZeJB
z7fp@SO`o<m@Kx`+cw<2y|1m)ho9`~X>h`(M?066GC4BaJ35r?-&PFU#okGB-3nL%y
zvHKlB(1W7XDVvT_E$LSPqpEY=y?uSrrI{AJ2D&nlfE_YpHm&;VSA${7`OW;-RKQ6U
zhsgOQHANbf9RedWjwG?3Y<(h{<jb*5s`+M8&p7rQK0YBoZfZa<cS`S$Vmtts)Rk3~
z>`3@Y<Cs$Mcu}4vAzM5no<L)NESX$D^x}w~q2IN$vl;N@u|$*dlod>xU*}9>tCE|r
zQfk7a2AmRWzw5hh1`Ss+ZKAauFdsJfv-@T`U(^d46-Omqq_>kMFY@|KX}b(SooH&j
zKr(d>?)IqLBX8fH%lI{GF}Qr0(l*>whnoh<ed1eM+BHh?^9+`gY`tPV5>$bTu+*Wq
zgXZ_eOpq*h0I;K<b%BRugXfMV-ha6%(+aN=V&u}*Z|NT~m9$bP&T$k72#)uDucibv
zXVv=5XD{6WO~AGLh0|eDVmC0{c$Pv;zaQ<>HaRn6hk(Ww0C~eA#_XHjtT=m!=io=a
zDk_mM(x%47*Su1jn?Lmb{_}J<GItY{v0O5`I15s#o_$tJR(H@J$BQc*Pl)uxceC6<
z4#dBXQT=~RePvjbTe!C3ASp4V(lB&~gmiazNQZPuH%Lo&BS=YicXvs5cMOfx_qzAl
z=R5xK57&Fm>b36YjxE=-i&q>=hUq>1&1vX{GQHh4CS09jo$6sTsuQBxNA|cRuBa=$
zyhy{G?a>Ax(GPR|7+*#ADkLUd?U*A7uo&3xGxm2q*+^_R)fS~_SDg98JHAhwxNLoS
zs-D+$o6yO=nSZ3x+P|u6U`k5w%Uh5~8>Ula)9umt3NQP^8N1$6KsXy~D(au7ONTIt
zzRft*XZPwU)#Jr$wvuN=PG=rzgS$@`80mK!I_X_fL0lJKv6`Lvky6zEgS!6is_gz9
zynrzcT4GUI*;q&iO9%dn;wB7ct@cF-AZv8?v41yQs-?ZdK6b%r>(erwRN<Uin^mmr
zPXF%T>&<){NF+60`RSDrBy(XU2!mTYVnG_Y!I|(O_5k_O8Ht6f?-TNvex}W4J=KR{
z7Ny^(+pErGEc|rh(39;5x=tdNHepp8IYP(<Neg#k$2eTld9^(f1+Fl(ItJuDOC-#T
zwDfd)BKU|vi5@2U3CpE&lJl+wGP>H9DE_2Xr{vjz4HR$1sWDacx4+F%qgXKh!6_r*
zPGno?E$CbANE3efz)iN+{nxhUVD}8b&J7cBT<q_Y8J_-Cxbfh^)Zb9n{i2ws!Sj2=
zNW$U#E`@PbAeDQeYlMn5yq)QR6w|@(#3RP7FClN{D6j<X^5YlA|3!d02oRRzBy^1R
zfAmPx(b3`V*#Y9N!CZ{s${v|?exFrO3jazVEx^pIfZB%g)X@F|e<1~FY0U+~a=?E5
za#BN%iN{d+*>9J7)&)89R6j>bsXv*2D`ol~7)%9!9u2l6A5Ltv`L`${>(t2NPK897
zzM*;qF>`T80phUtovJzSGV?3wA~$1e?(H-a`e`g<0LVuOg*LPJ_6O^JPx~Rt*7SkN
zV<zm0d%p4j-B0MH5PFt8d1ZT7MECb1*UZb=O5D|5>%5a#XaYfJtl+X{Wg0qWL^O=c
zMKS~Adv?1BCDaTf4sgrf2t38oNqO$V>|Ro=MFn6;;_Wc2RoR&spl)ArjS#YK>8#Dp
znR;utNB5wP$AaS%#Ur|PyiQ)ST}?F-(K+dc={!c(_@6!BKb64q3iy%-EBSAl)C#xv
zds#++#5SZG3}z6O7GZ01g_5p%KUgb|$n_}STfIC#<yQ>0c|Cmp@@UO2)UyPI+HYwk
zl2UJ)q6BwyG-JNj-efe6{ccRnLt=QUCD>S0G)U*-NWvGhqf`{Xz^<uQW!>|RAXMb9
z;-ilq#oT-<$tumNydoOk)J>ix$wW7FA$lO9D#QwV>K|Jkpiw6X@eH36*_Frc!)ZlT
zTt9QpPWlcVerRwF9<?3Ysi?v2=Ee*|O79;FFOXNHx@p$ri72;~OwaQs+#SDgrCnhk
zsL2}JIIT$IYGZ$-=f{sStCZQea{3gmmnE?&UP+ge0u!n3q0o6x-bT8=y&{CibNXPg
z>G)Q2nc)leimFreTEwH5zNmi;hHB;~<bL<c_{{zXvX_u?$|u(<=mQ;l11M$g3^7JB
z8J$4ah8AhrdcXcFzjpEPUnhkf_>lX+`<}=koAvc!9?tVf8TsT%46lLJJDB?vLAh=_
zmY}Xl?^ibf$fUDMU!U?x|9`LT`j;4gon3_Xfz*aF-PW+%RgZD_A~;k+HhVDXfH#m0
z&FOTAnO{(#2-tO}*8;wIoE|qN=qg7?M-lThPs>rhG+iZ}2|iCpdTE=k^z`(1&$sQi
zBAX6bEK!^(!$P(2?H4I*=-+oP+y4}|vkaFK1c;biU0tn5a6J3mtg`h*(zSxQZP)Zp
zAKId2PA#!C>98#s>wcCc{?-!9Mepml3kJOj@|nlIOPV~7V%`mYhnHMw(ER~#Lcn6!
z!Nt6(saS>ElCi4cOvaSu*2^vB{$giodaaQ$H`$m{bI>sMes#-b(6w@<!Tv0C01q7y
z$DR@VP1KF<gG3hjdjp!H4(HfcyX-Zy`W=7sM=^<f9xF*oQj(+&w)&&C08#Q6OG{R%
z?MMDAEn!gsbOjJ55Jb1G>z|aArNI(d<%?=vI&<#E8#3&)-yL3$hJF-^+T-rO1Q9KL
zm>P2iiMWketBJJXsg^z@RyVcnDp4b82{Amj%}e*N4&$Qx81DWc5RG!h)JqT9cp4;+
zN8)<ye<%28U^!42Z7vwoJjJIO`_T5T`3!MZsU@Wqi&MpCd0Pvc^hIKewt=A0Zyat_
zR0<v%voETH|AMGaDUUR$7x<>O-@fD?<g9Xn16wzZ);r4(&r}yZQAwH&&jW^0>t|%=
z7|YM7NSaBpKkk0<-41LQoo&P$wA3T!wR?Sf!r0M#_72L-hnzMo3p*UwY{#QS=4AA5
z<6i^+QGr0SvS4``8C?HF5%V;(AAp?gZNOX%Putf6a9>~Fcd5TiTpUO*uFShTEG{2m
zS6O8VS+Q_%=3Q5qSz1~O2PEIiO-@KjjCyaedTXjADB@hO1go6g-4~;$N=r+{5M&Zq
ztr;ZHSU<9{Evv%C4$vimI8-}Tc&e>ye(QU*-EAT%)XJzb&-7egUh1bw&?tX=1geoK
z7XY2beyi`Du#_X0>KL}0mpZwV*xxaGExKML=)2l27yQmU3NM%&FD3yeQI6!zYWsXd
z(I7k@c2}}UiFBEAa6Mm&zO$vDymuF=J6@06X8))|L_!ngH@X|iCm)8nA*g1hA($Lm
zqM_14K1`q#t<J+Pwd`Ddq6VdRmR^07ZERYwM#)92J3MfK4SdC?{}@)UjxVCOP0?h=
zfFS9Kg3~WY!f^W`CeM61y@l@esn#T}ji_+L=%P-4m@hCsR#Y(Tis;-@mimql`f(jj
zWjAJ!><o=f<RK=$ke%a#MilK5YMqk@14rIx;zGPd0eYE#+xK^BUVQL#itB+WO5VhR
zc)#wWp%7x)(viqXj>PulF`i}edI-ce<mdOH{TktCV$#o-JdL&cjH+mbUIJKZ1M56q
z5#Eu%#t$&9W7?|aiImij!{u{6PA2g*7w>$E5io6<<4)dY9$cw58#e@uM*k6QIhS0D
z6M236yKmH(06TXdUw|_vw*83LU+sRr47mTV+KVJQ%j-r{7+hYE;pS!fWd|6Jzdx4{
z;dQf)&(yAT;`hpU*S2CTYDE;Y!1BlIK<$fIC&IJvoMd$>t@kYzxw0@NyqcnwGXmkO
zPGKyr&8}#1oY)Mwo1A{%kbP|RIwq7pL{tf?lu$jJ+r1u+?I*i8=Z2aQIDd_AFu@~<
zHZdyZDSq_C+bbb+&_QYqYo@s|^w{AWAvd#kzxz3_46<`Ow4}>7gC2C0pQkOou->S(
zhvKBIVRDD5D{PdbuNehHxpwU-1~Xqu$Le#luN8q^pcY*tXay(M*QtNwl*f1bnh~A<
zA+n`Gnv|Q>uLp}H%xy=aVBKnkeiq}kFjZQl#|ey65ir11F#n7*70i*4{$~iYH0cki
zrMCcD0<R42sY%V|XC7PzC=AE*mE9#q-dar2zjxRnwvD`!o58YIcf1bUAtXKrk}^4o
zpb`^ugM@xJ@Z>U1Lc0nVe@J0%e7}l>qxLLdsj`B$W`*<=Z%!-dkosUk_y<jyOI9f5
z8>d&2q?%(YjhU7q8mc={T()lbK;2>S-?iNk(9!BM?lQX{PpSZdFJa2}{%1^JuT4l0
zEYyQv&Y|^pH+`@8Vkkb5qbBtC*VU6AUzS8ircFCH_N0m!oM$?q9zN~dT}CpE$@fB!
zI;p&=LH5R<7(f=-41+o(hg;cf>k_3zANeRhz%VpiE(djyepOGE3Yz;_p{@IEuGQCi
zr<oZGum2ue4jr9<<K&nmv)H87_}*{lzOP&(&D63|3s+fwLj_Y7UF%jBU9hhHa9prX
zY>B~v{`w$V?GGf41Kwp$5lWXR&dztF^Msjl;QgMvhjfny|6|5E!Mztr9BSwv4b|Q>
z*NLxl|1$_-9YMqu3%3hL6rqx{4%u@|p$fmO55}dl48hek$=Rv_b4MSI=|feu*nuo1
zF3<9?Tfu$JZ3fBRvNDETLJF?YY_}`4-RD`D$Zu>2mW!fx?J~d}1#L-1U^?IbQl_Rj
zdn)B#vpzqcLikTC4@IN&F#Ow}WKbE>l$}W%|I4e-`A&hNFx6JEQ*>z%7S*}s8+!;+
zTEAjlVi7zLuf$VcYEXTc{h$gW#DP&s)hg;a>usxZS4sF*kt{(%-g7>2{u4@*?=VM>
zjgp2nGWKih&|X5N3x9E4OnW}uAq#1#+eQcc5Zd+yu^T*LBZS%49_zjqdoY`g6#UCe
zh(Y?527;aXmr(IvDxTq7Yzbepc@zSrd_LC2pC#yf*E3@i^q6(G_td5+1KDeR%Sxb=
zoh5RgMn&vuqTI8}=~J4Te0~+LQV(>?M+H1fQ&D1h^nu|^%@6}&Ocz4TRSnEOKbD`i
zdIA(IeqYN$wariHR-V*J8veyaNGMR&APvRswzvkzlR@QyS}l28zZRbUET*?j&6|Q9
zpR!8rp*1qv7d2!Zj_$1EM@}(4CBzApD*LgR`LLitg}1-R3}nE`KdA?mcJp#>fKpe3
z+hsn9Y2yj1BKq_v|1jOy=_^Xp98x!W|KwrL=&L+0(9yu3m@gD=vcvG;F=U~B5g|9g
zS|qv`JH|?_<k9Z^%ml<=64~(uKTgCnrC8FoF2xBFBMbAO+rB-s!*|HG^d*DIa^t*k
z=jbM^BTl5_Q&Opy)?UrWy2K+5bSenwl()RJNqg_(++0%dc|re84rIOe<-B;@L8MYc
zo@p|6GcUuCmqfR38F)R{u+AT=>{f2wY6;!NAU`=uJ{rC7JU`#?j7bSJ$0<wSnYtq|
zlZ5+d?e%BXB&}cf5lfLz5G?7p7hGUF#h{)v6<E+#m!uGkZlL@Q);hQFfSIEJ*h79U
z(eI`7P0eBU#M(QGVtj-?SIGJ=J>d$vgj$h=9rmd!;$fm5?tG6oh%?z-vWmNqF}mFO
zQnqq<rv1lj@8;IJ{0Pg>6KGm_Dc|C+t=7xg3rfCSrw%=s+cBK=LhL0{1e>ImM`k5M
z`FPDjG}^E=V&2(zXRC7?3qCMoizo*+Kg(lI*mzgq0nAj3YJ2p)Rc+^M3hDVP(5Z{=
z5!chJiLa`i#QGU)X>NSwX^?!S<V0lTD=}2V*dB<SBr*}d_cB@qM6L1o=42`8Cpo$Y
zpu5Ti?J61wmx`6|QN?7F-w*Yia4w_L#a2V2OIskNMJV~7K?xm1-giGp+}>M7ZZjT<
zH6zEiEeGczvcnFb?iGcZ8n$WBnGWd1cH^H~!zIPQQwol3cwe)@K6en!hTc{2rkmoi
zQNsj&_q}%M!C_B?MSe--ER{s3QUR4br_7OOZmDHiXUsV(dM#KxM8sTrnmM7pSlQxv
z2OyWBjIYN@^BR6k5oJN|Z`-Abf8dqK@2!&zF$&jM!Pl`udsg>9UVsdw5nv4>qj+o&
zr!KO&KXn8KB9D!jRC2<3QXlTaA~?8slLnO<P-=M^9$?n|P{J?RBu&~Cfc-eVTX)bY
zaWT(j1;&^17oYTLp!*!o`)pKLX4$J>16Q9rH^J+IuAamo#Y9c%$-uuX*JviWG^sWf
zXiVY9l0+55n{yl&uL&^H==8o;`wZ_TrX7~u3(Ig;jGI=S!n%!La-Mq3mV9GS0kPx0
zzFFY$p=X9KJ-LJZF=J+Xe(J4Y&;BbwmbZ7PyagkLA*F!BeNA(|9|C`<zyWsnEICvQ
zqa8&8_*2mZERyfoexx5Kch|cPuw%T6DB(-nW5;L@tIbrd9cQ@8eYl#<+WQ#i#Mo8d
zeg9Z^ODccHr6@zc$BXb_z8YZX&N`I}fgXkjU5iT?It?e%yY8l#jYMD&xtp&EI57mw
z)B@lQzYO@76=wa`r?(EdvB`rpM+P5;n(VlbqMp4??6~Mj_i<XBj?`GAJMvFpReM#~
zr(tq(bKjIIsqfa?JfFhxC9$FoYD8+nF=!W~=$P)*4|yd!d+X^Yj{E(5Gc%R0>y_SS
z>+!i9ew!6$c8!DaW)_w|>!{dC88jQ<>qMU|JEb*9Jr|dn4cGoM!hRWRPv=Nb&FbiS
z_V{jOAYeJoW6`c5m+&=|#dHX<G8MInY1Xfv&e{ggd4?Ok)P8e#!Q{96n=FwkTsdQC
zWnuUl#)~1mIF#|%v1@KukTpp&l;)=S_&jujc^F-LtL00a%1+y$&<cqNG;!VLn2zfk
z^bU<dv`tX75d0>54qZ~l5b}XFVzAGTHnUoSo)U6~eoV(rJa@Fr8{L1vI%J5TM>ULi
zYm)5r()pZv>y?V>XDHCog!6+5;u9B5)`pm!`?f6h!#oTL=V!V3KKJMkEq*nRvcOpt
zZNdND%ADX>h+#<rn|tR|7hiBjOnw2%>*8?=&5^yYvS9+u#QN6@e;zfE#g&&TKD-Y1
z&}luElq;76$6?mO%qW^z-ao_|dqI0~DqYTW9sNkCrNUujJ7$;g#vHvqf6ma9+niO}
zwh`$r8S9`4H>SoYrIt(QG&t=4Q?;scQ$;w^-QjShOku90tZX#P93|SKwWDct8jPb@
zOjqYO4KWXma;mJoz+l|1$Lv*WExC^RwEOH@6`folmHNwC70gfbtLe#<O#dlEp;kD@
zZ*}!id)m>XI_mrB3*fm_8#4!LliA_2ahuitS*glCH(B1G`{(xJg68*}%7%}}8J^BQ
zA!x<3+ky98Qex<}NQNse9J+kjNxyBvEu_EYqUw~CMl3}ptMF~)U_bqf3F4gv4}}^g
zlB+Ezq8U#>RDL2<*7&`)FiOiZTF)7K@Py6*tFfq-iY;|2GmgL}lvGhh)t(bCUIY1^
zEBS**a!ADb(xg1JccQt0<r+P4j|DtXE<;BFnJ;JbMe7NpNfVOIetl9q9tK_tXFIDl
zUTD1q-=n-?UKfC6#xlpk!rE;!uC_J3B;Y93^Cr^|<#A=~@^HIZ@C<6GA0LZSlQ^TD
z!(}E7YLyz;{3G^LdN_vXfjySPo8;Ff?y@wJ-EF3S?hk4IRbIH;o4t)fs}2XL0YSIK
ziK{DO{ZrO$PXiy>TJo$NuJc9ZFLPN1dxhrG?WnIa=VW*a?h`(4iN*v>dBmIv%gy1y
zz--^&Rk=GjI86UJ_$X<(N<2AU-`u>U@?8W-x?sn_`U7_S;~m;V8>+dee4cNa8+)y9
zxH6!b@n)FPewaf7zdC?8W~e8e=(6$|5_5kOk0ZHj#Ct$5vzc^K%h%0}H-sulLx`W)
z>#3sTi08~V;&B$3U=qE(DN7#QAJZToJ5drvA)1|xw(d6CP7CgdIyx&zKA)=F=7-@a
zaEsad7~*wvXgRA@ySBKWaJd#B@fD$k>GqxcdfF+8qiiu9ZEv-MHByNNacS+7DPwW;
zaOMOSh3Z2F_*f36Lu&og+v;#gwc&7d54|ETWxDxKd`V=Aj6x*NNjj-RCB0KqpX#M^
zriWXS+o+}AL3kT3a0(~39jilo%nf!(WJqst_3-<z7s4eLH-*5I6DbRUO^AcdbkF#P
z9EuyIZpoi_RdtKAX8E|wQNq=B(a|+l%r5V<iIto%(l=GDaK;VAhXsv$(p=pvUZp_O
zDj4Ou4hA|tE4@wPf$O|=^|!zQ$;rEs-y;wARDOJl7tR@FgaNrS3dL%iiH5D~TVR|D
z`KFU)5uEMdpAB8%n$5Pn$$_yjHU_mnUzf}3f6`*BsjYoq{8sMr9XBIW38&=Jj4@M^
z*IM^EsyXWGP5ssxy?3~S<ZmaMoljCp6pNg9wUub?dF!`EiQp(ACGjseGQKgjhD%;u
zbY_NT!A;NledC1tl_x1s%}P2cgY|ArtFn|XYq)`T(0JDaAGbmm`)yD9bd)9kauS8;
zx+Gx2Gyg&D#p|f?2{JL~#lrw{Ww>lHtt#WcUBamz%mcjxkDQK2opE#?KVS2E2c;QJ
zhvb)&kT9}uIe59*i#LO+huz9{me%@RwDeO7p<GZ?Y1}0#-XKWZr?d|49J*&Um?f`I
zZ6T=Qy+J|}+x(Wu8{>=JoVr8;0+2z^(qm$@?eFSLjYOvR70dGq6&p%xH&qNZ2{yt2
zdp&%sz`p9m+LK(5;hosHfxEeer%+sSSR~$c&Ge~I2SL|lABVz5F}U2YkssaZ!evlE
z0PTW9)2sI5*jlQ^D5l>viT+A3Q@xX}qh{N6ZTrlJqTJSBu&aOrKWaMKa44-rx|ceP
zSy;ySZzdM?b^(eEfAyBom1bQQ<EqLG{r=u(wP|I)j>CtTf}GC9fdZJ<#pQK<u#;x|
zSmI)M_rmBEV+NViYVA+L!|w4Xvyjkx_8^OO;b4^aRSDmyPd?ZzHyDIW{`y5Dj5%HB
zNAnp4B1R-$<x3hPoyRcK3X13{Nsvf(;7u5Zc--HU(K8mpP^1j+JRT=)v%`hMoAS}*
zN}lRAI`ozt9Urr~mFu=z98=fXu0{6siB;PGU~Y{g;Ovsb@VP67OdQ!<#v!%yvG7y2
zf9f4iXxb2EB`T5;0WC}vl3(rER&640*^^~sSO>5{^A>P#Yt5=?`p?~1b^2t<Y$fS^
z?n%m_c-HV=;F7K2#>-rq^{*H=^7OnsfIc@jmB@g4U0lUeaI69JesG@RyXe4{uim1)
z2YX~%3`j15!H^-duRs`SUh%Y>urhmIc_UE#G3=dU%L3f4#|>k7PkS-tn`Qe%(0SQm
zfY9^oy6be*B(E0&4n=!s9+c7ENK2&`JTgY&CX~sP1BGP^T2k1g?Vk<%e9rZz_@<$Y
zuUsouK5kKbZ+dc~37DaXn><NKA)_tEu{g3|<LQ|u^>nH`S2OX=AxUG3x6#L3l$Xcl
z_;zQmgg38b{ee3s@a|O5fyWfd`m7UeX$f4pj_~XH@N^!V!W|!v&G<d!9I~SQC{)FU
zgc9f_^?sR2=ESn)H*tbPeMP7xmE0eun!^#bw0NVx<VC!J%lE+QGu;q=u8=tmn8gA7
z2!aN7yc_vxe2WgrxkkKVI4RzHKHOMWe_yJyf%tIQxdSX9PP=tq#kUx)vAtJSBz`jO
zhKao*Fv&kT_fQFWzW8sTV;FYaV8H$Q-uME<iDBSI4If}Vb|Eq1j%bXD5$e<hb5^V*
z`lmch{DjAR1LKL_>zMxQ$^X8m8rOG@orfLdDqH3M{i0>p$)dH0ZeLhhmCG;`!uLM?
z6)6&~ZU_lYkG)$*_+k~)vYhxTdhc!BILWsPdCaba9J-sK23;#E6qU){!Js2)bK~Cf
zyCE5Tz3&VgmtVkwjSO?)uz`9PV#+FWVQ>}kiV~rRhEd(Yh&~@vr4|+SrjV0_tqPC%
z8V9AMn|GOOIfFv?amBE0jlTTAVU@<{+nXl`p?ZaV79yR#O*VN?`U&-Qg@4a^INd6e
zxe_SsHE{K9xi!nO_HxruILWzKV9=8d5-r(GNRrb$FvH1@j*uba<`3N2&bd$R+)Wg4
zo?4qvzo@5uD#_mz_uZsfwY&^h=aaVh=Tlm;=gX#9)}gP$e|%niE9%=qb}xNVaa^DE
zRVxl+O77|?Le8MtRg+BIDdl9NtQ>bQ40$heO^2WX{)Hcxo#&7gu_^op@0tm<Pi>3-
zn#qsL<A!e4ZI7Vk>1L_H=_rxpOJn-s3gGjamc~WnU$nj>8btt`<O5I`gIZc$p*bYc
zk|;!cp17l<qb@6VnmE#lUV!5<YdW{f7+Onz6cGo6In*Isg@Klq74CQ>g>~KT@He$^
zs*97;22g$$va~EVe-H!r^oU9t9vx5EGm~aR?3oE?3Yul3gus`7(9fIRi6%?t_pGr8
z4UF)J?d52IbLJ@%G2US-ruWw&|0Ja2wQ9V>nD)+*4vH@Po-{RlXGmfmvWZxkX*cAV
zRT$PPlrJC6gI#N%LKQV^qW@kdP{2gvXPM}^JApUbH*NchXIy6$LQEe8oczSM%nhz6
z!|yo~mF$7k<E`a+vj!G>?C>Jkcz0Tb&4h=@1nj+`Ax2O<guUSBGv<33Sa~pBm%6*m
zf%plzY6YAqbGjTU#(}W&AzM{An5yPh`=^a3Y#JrJcq8bR!oVtaMjK~AaAp@5_`)p4
z4_tJG*aqCFUv;7IR_u~3`70pWzF-w_D?Z&#stDc52Z<UbFKH86I4z#&hLfWs)=P+v
zxw_yIZ0raS?IxBm;xHFS=b!Mfdjp)2EJifQ_lY487Di{C@uujJeDRA!dTr#_GNfsf
zuOv%iC+*5Q{__IhtP45yKrlQFb^@r7?dFVFQ#IB4npQ`rE6t<xzfgxa`R>l;H<Q0{
z9tph|Eh<^9G+kFN*p$F=jOP9eDJtB-pDV5~%oVKA*WOj{ISXIu-knd;kI0R0Yz^}U
zu{m)cbGE4JF8(QjdwjI27d=)Yu*&l?r0rzqQ$FofB?%}WE3osjKnPH_Z?Vo221bUp
z%HUHqvYzEURdlH}l8F_13yR`(;Bq4_0>p<`jxkkOdjjX4_iB8tXI%$XY!~hw7f*|w
z_Q0j+2;*o@wI|N6fa^lkkGVRY;UE9m_bT{64&{4R7eYgt?O3Y;?Qg_Suzv>Ikn*~B
ze~;tfN7uVUOT-Abt33&<t`nBn>Nmn`X!~Tz@DEh{4`Muk13HxkmzNQTD$vH@?^IYX
zu?r_&ls<HH_$s2`-rRi9hL21s6r(8mgX06mK@|mSKag_C<~Rca_;!<JtD*??C9U&n
zahgm?nmFQJN+U>uBm--f=#AEnw$so03xMcrQ%7QH8#6h}KI@DhN0pzG>a@w1ETQIz
zS5|+KiuLDzx*DjWKwuihJ+tZ7yP*Wu6tB=nqgVNTly!&3HlC1H`iN-A_}UpytpdhJ
zlM3!%W-6R06=@FFagG998%d}Vk<43G_@mk}v_s>zm_0vciAX$#?Ksff;&Ks{teK<y
zkP0!H8nIcFM<bS`&0Ut!eNjS^*<52-?QWh_ZS0TkG6SHUf~R&dI_@xmCNQA~{F|J+
zX1?pvWdTw9hEr6i;c(i#o(HBN$=5G}8%(;njeS}oUv)V?(-r_TCCyi$%;l%l{7fBc
z*-bzWX(X}RHEYj!Yxs7A3B(q_o(^<fZ(9(@JBhmKb^GiFj0{M0WY}LTuH^lPU7yzw
zS1`o7euSFKYO{lD+_OtTGtD)Q*~eLYT~{b=Zpy1#NC#3?v!qT$*z+@x^IL1nn40CF
zpC|4Z^<+O}VeTGcYf-`7`2QY;e*tm42wzd(*jIeBGo)>GT;!*eIaHb8oIA4jtRb%k
z`}a&*5ls8vFH9^t=N?@Z?v$3{7)>*O41t42X$!g5Em96GLgb{Fnq7i&8<^ks&l!bp
z&ZYH9B3SijJH!2Ya&4Q9>Y!1*kcx8*+&MWT_%zoPjM&gMuk8qm_`#n3<wcn!h;e=S
zZm)sK8;lf6{_V5seo7m|G!iH874_n9(}Zd*4)-q<3A>i-wY6<}h!!(2AzfkM&;9kg
zMkOkmln}IBc*H@&nQ<Jw-iGclp~G1zJas#C=|WV>ekGFszc`br3nDy}3=py9A>>d)
zP0yc75~1#ggdNaY#8lT9>ysKtvqC8|H25iw{H$6Zd~jKo7W+{b#@&x{@BgP>0(`-h
z8tI;gv#RzzwcCb89PHU=OdoG3RX!|id5xUn9AAAYtRR$`;b(laR2&s{l*#)WB=lum
zhj5Gez;fa6eN71i;?%D9B#|#R#^^6q<lpZ_-g5Wk=k%Ni<jqkFZmKDd2TuLb8J6ZT
zSr>q5;9LG4T`$6uY{~TD1S1bhYMNxq#B)KOvp`}+&;6Y&+?F^oEQjQGm@hZgQsP=3
z9Yg%AB`+3GYLg@*_KJM0hm%@gbq5Xn9QCYvV4K1a?%0Xb7&BepnTx;H*1rtYcXZ4A
zO77(I9~AFP8Vv`(%we~p<&@hh<l<6~fXu<d0<*|%N37`%6!kFlPoHkrI69a2HD&Y+
zwOA)G?j*(2YcSg_Yqtc434>JXZlFv{JYUvOwZxAPUSw(=O-y!#<JM4VwCAW{(jt7{
zmMtBVWk0Na0TGhhtsFK@IQzxt^dATai-wYXHv)4yf3-o6S#U#^W@>H#RbP56f1zUZ
zlfGc~AyFtOA%mMu;<vI4L~Dop<;gjT*)<DB#qL$wl9GXcM-uE|@<<e%!^w?}0d{&n
zV<_0!DV2|(GWb%bO`l{s{Dg5v0#in;C0)O+@Pzb*b}e$G3Ph*V;+L{5tJ2Wi<8Jgm
z;Bw{8^p5xIxQ-}Gnn+;#AMSP|Lw#Kx=}DKb!`Li%{IeZScu_@(4fpVvp6g8yLIaV4
zZ*MpV^%(RsrpYpU6phIO2FAt*ToF@3wKa6p<9J@rOJZ`<tJ?q2Q9VWKP;M7`Gsk;f
zAfO17?ROM*QDKn_@@sjgQ~ziGyfXmn<m{|}FUu#gvXWW&aVjY}l(0w7=jo$d7N50B
zpXYk02<dKTu;BW>flOZIHB(KKRfgK%qUyi(@CPyhshB~=S&ZO%wiI)3fyc?b%rpOm
znD=?)y{s7#R9K8#LQ?r&v=Kj9l7&N;B9lJAP+iYMn>1u}(j&LNBXdAHR_4N~AxfIx
z=^>(C$D+m2gP%<ZbHx~bI#-v?N}IaBdpHr~3PF<&ee(BH|K05Y>G;gyPNp76mQ>y_
zg>W^Z)4h;4E~<#%-P1+&X{aujVfou`tX#bNFjDEgmfqh58w(#zm1uk!C<-K+?Q0%W
zC6%k#WQn^wyefJw4q}p%kLp-)gFn6TvQruQC=O$n%HalkjyT4q;PYQAfoTm#W+(1{
z=}RhcDkmqm2}Dx;%~%?gL^W(*Lv3@S6!bh@=2Fm{T3wCQXM(2*E!S!E2ky|-B{ely
zuRSJI|NlHcCkAaReFwMWFk0D)iqU0!`3POTw;2f$XYNnI`gj`7&5dlJQ@F@Dn^vR)
zvkZtqX<4qqPkOYyF7E=-2KEB!P9rGnZP-!1E}b`(yx^P|v`pcO6wNCzHDmw=*FxVg
zG&i!ilJ=-^*2lKa;T2oPqkCiS*xCsHz)K(C#tLC_2bLU!>-3*{qL#^cf$Dqo03#+!
z@cL>0-_STdb%6^Brq6${%hO-U3u&hBby!>jov_XTN;E)Ke;;Ki?u3_KYb~L}8+v6|
zKQDhp#_RAtW%5WPQm(uDMcht>ZMn8~?0?IgVFFN6;Jip4HDmguB{SjU3V2MoK3&fN
zgp$C{PC<<9$gFVNg{odUTR^E~vE{PnHK(CGGB)-rtig4h#5(2QW2XZ{KwlK}_HDI?
zfd}3)*e>C~ND*@!LGke=v)Qk2in#8hO0HxHHDWM+D_+aYbzQ!;Kf`0qM=L8FnjS+^
z;$H`8tkMmfSpB1e<c}T*cDGTjj`NgiSpA1EoHU0<XHpgXiMqJo?ro<VuL$^-@2YA#
zC=NGZp?PvSN>&s)&ZtcV<r{TqeL(fz=&LsxWdQxWRwI&!C2DT5LwRAmV<(E^KK5If
z#-_t^;P>+Af*g2hPaycJqZM$&>sG6QJqd9Vy3ZPzy>rnYjuUOf2{H1BpvT_tBM)a2
zXw3C4T%#fq%l^H`0TciRm?P5AB1pbrvaqBiLQ_-I#MG3bg<K%?{JcUD^=zTKA8lYn
z86Y>s_w0>liPK@TzCQcHW#FaN*f=`dO8Z}dIWY7URxh&BZHb0FgjF*d(ep)!!?a-c
zyb@GfOpmnH(?-8vi1G5L%WCs;Z5>r81xc75#*AGvsQ&WP$(_SUAhZVb8!G`C0lcfF
z`)<uJaJ7es=?U91421<n?epdgF4k1P2##z&h7GqQ<kulPxD-A&Abb_~2#X#ms00PO
zs(hzIUSERNSMpwvnkG`9h05l#|Nd4{k7=?>Gk-?<9VrK@CHe1RIuH2weS=UaT3!Be
z;Om)6$`7(3opCYQQAVzOy?C2S6^555)@!Hg2GeoK@ZW;;gAoM^=#?|<;1-+uCA3yZ
zq?xJd#N3=2{QB6KoG>A4#Rp}voC<Bi9_00I!MOjfFTn78fKkDWqe8joaWywfL-TbQ
zO}Iy8bl#E~XKD+j+w_UGJeALK%&lVs!LecjEO-xhR9ot60Ub&O5@$?DA@B=h{oc39
zft((bV19<M&1W~AEO|riP&@(y4sUt?b?c-P5UH@O#@1snWbPszA#mOwadJtsO*rz&
z**qL=;KIFw927OTBffSlJAw*uJZo^yZpSuTmwdvlv4ZVtprA<h)*u?647NF%P|k|u
zE<w_lsDxPsbSiz2t6<D_$-%3e;oOZXo@)Anm=6t9B2d+o#OvYrBw=d<ZkRZB%C(38
zXQ$EsOVye7Nd_^gc3*wSr%ArS`0HLIMOr#HI}0RIPeu<QYq|VAT_?t<z1?Q(evx{g
zcTUv)_lXX7G!1KB=ra4gjs~`ZqUVJJDuwAT^m2TgHq#i9pSKF{<YNvP!+&zoly_&(
zk}wHv6}&VG0r$OBRf8DS9_&6phRTPkL-)3rM?}C96fFB$(jgxMq6??a8!GlyKF<w#
zhEv5LQJ1p+uv;vheWOk5{9{?2n(=k|yxt`b%1m3xY0B`Xs^?pE%5maE&OlcdKR<~m
z1iLvE8r_+y)|K680T+UtGKP{@!GT{#YRbX{1WEK6P-sQ$8}Crhyx!czYH^l%`Q0t7
z5id9@a&93jk+uGPVt6bWa29JL{tDI7{Pz_5dzfhu{atyIr)p|yIc;sLXgz?wfQ`oR
z59avzIG#Vybyu|ch7IlQL|L8}p-|egq9Q@f6rSuwb&svma)(su|9{y#jd}&EYmkLA
z?ou0;tk$*|151?N>c?1qZ9tbPA}cwep{$@NgQ#CibNigP`|_cVoN8#}&8Fap0sDKQ
zr4E=!Lt$tg?c0zpSL)18uF4#$IFqMvYP$StKzc7;L=`O!>B!(z!sS7X<Ixi<s_#Oc
zom^DDq;oed|KVAI=&gtoCHBC~>4Rj}w+60i0Rn-1XzoBFUdNrorTl`*lH609_9Jd@
zn}&<x!gr7>6(;{O!%9&763UUbk3eSD-1s|AcJVU?Ty4Y<=-hw|D(TD<0~jX_ofE3}
zra4kN^X>fdMO6_K_vCeFPUHVB$O7co{o~#@)q6ijDUGv<L>LgqJ`hL0x^d;9@Lidh
zh$itZDCoVE!|Van3Lk*_u9;`(-tMjd_#U{{i32&<m*f0V8Qd-(VB8`MohCn_1GF$)
zA|eh88}QAqAzezl)KX$J{dMWgtz*`^Yd-+ypFm$nQvP#SUB2t~)Sw%Gv5@|)Xz4&8
z08}iUKjnIRL*;o97$u%KUNAkcq#QYG0Zof{iyi7c=kZ}oIKT?D4{*gMDur&Leh4VM
z{4|*~qAy}a>27F_EFRZDfw%=*nWrzny?c$|W@R9Vd`7Q~y<@M{Tqo!<U-%7mhM+(3
zV#UFz{(I3pCIxmgGm*T$T^UYXr2&Hbey^bep_k)|e}LX&gmm6hBa5Rkb6VRCUxO*Y
zH$eWOFyJZJX9AStgv5Ql*iSCz&A8QI0<hiF2+N*bo_DQL?hlDoP}KVc8?<hvA3wQO
zV(W=Hd%s>7<TED4*flg{EDajnq0bB-?tZPt)QAxZaxEX-a~u9prB73ir3yL?=m6N9
zt~S-<&W)#@=1y71O#nRs7c_P8D8|gNf;Vr=e^A4~9)#Kmu>lfT?5_3|G2$b=dvs=(
zm;Xs%Gr1z(71&`)vS0Zj96UmF8fTMyD*xZycGW^7zCUtlwzKk}1$+@<ysu9_UPa1m
zd_99-<@F%Q6C|qRQ0XQ&cGy7ALFEg}=k2nN4;M-nZoWfHa!)Trw+xj|(A7bAXiy*6
z91sE*h{(#+UK`T|wqo%?51ss9Lkk5Mg0`_$?ef}ZkyZUZaZv)oV3!=1-6pghFWk(t
zxVk6==0|iJIX!TvlhW@VYDJ9Zm_bt!KYS4lcq7?=_N{pyZ_eV>h+p%7TV(t|=yrm9
zOy+*~#Z-%HCu3+#B~s>?nf{jhzkmDBMMdEpz9bw{rzJ`8u-+Lk-|SNEHf<BrU!366
zsgLGybNu?v!en^zrTpHKE7C^*$o`+*F$(o{?o%ugxOY_5<W9Yu&r;>b%gq++`4|v%
z(B4FfI3@a6&(9T^G5Rr9@mbotdS$D47K3)d0&dVS{Ph}*;E@D2CAYM_sRIK4Sw{EE
zWV<g{Wd<&hW{<Y8BJp~c&kVRPt1j4HfsR(^LMYut!~VI%AxlG;{foGo>!&OY>Em)Q
zlm`nGBMQDi+aSKK!RLB=gNvm7OxQo9ugz^g$fe<34!-Z1mfojY@q2SU9y&E|ru#=*
zk6x2z>)o#$?7wgZV4A9<QAp$LL^v{|;lD_aq?n$OA+q^Ly-LPi)@^co!5f*~R>Ab%
zfQFGNa4`UT$Zyh}=6~A{=jXH}Yj^9ZLA)W&)xLDX{szI&TWr{A);)Ic5fro4e;s<V
z<wxctt=b&=$jh!(EiNu_LP1C%Oi$8|=Bnh3;ZmDAzEjn4gzaQyLaimjyUhAAxUmsd
zMmz}(quDQeE<y}ggxTESoZc(k@w(`w_2d&r#HAy92^rYR%zgOA^EfU3n|OEqq@dgI
zs(I?}8V#joaGw3G3=9UehRXazEJA0XA$sED3+PQSsK`j4dr=|&p5{Aj@9GeT!e&vA
zkOQ_b5=RAER493Gvf}&O@TZ;*E5`gJiV<fM-O75F5X8b_B|2<jPimXfYghh4fD`f-
z^xMWTB6mPe6?{T*yn#6X#$@w8v&Z2pVoHjlv5_G^Gk=8D*SC=h<i~=V?Ny^6@(yxj
zg@9(WBe<@d08~4m187^c?kGqr7Mw8vlnR5A?=HXRh>0*N02SdXZ|myN4~Nu}w?LAv
zIQ4FFjD<Xu=pFycr*;6D<ZO?Mnmye>pGS_JCuKK(P}#iA(H&R^vW?!F?p89f2D=0m
zpvC4NTa<k~qUNoO&p}=5dR+5|aAJgRYPBP2e*>a+P6NeD$UUp*XdoB<^YZDLVOw#N
zqF0P20^-fSXuaE_=F%J3FNU<5cUqT$tYakTUz4&a=6xf>faLYA<n7AgQ&Cd9ZXH9h
zkWI;}G2PyxP(5OB77jeVe@4r3{X&c;w$(8gOY$Bv!e;XFOA)30Mmnt4^qIJT<R+Yc
z&rzU;^nAAvh*cxw=Z-P*aAjd(Sby~UR>+YT__$0>tzvwTI$BojY2hmX$F5!hsux#e
zcq++9T!9(VOBg?Y($M?$LH<5KkN*`AO94-?2Jfd&?(XiVA8b~dOm-V1-2jUEOwt{?
zJO|Ki=mIM|<$t@a95qVq6ppy!Jp}49g9(oMmM`3P0Ub)>C!2P>JKiOxfe<UJ!7D{k
zMOaD+bLD7UK<(S?5GKyFp0qKnrdv-)xt75WTfKi?>6Ri9A3NwXCv<KqX@yK8w}C~W
z%>hXJ8PbT}>|5%`F_o%v28K>>p*jkm5b~+ox(Q4^1C(uidUEaP5elXXJ8Z{6^!UcQ
zP=0&tH~&2O$tv?2sP`nWuQ+eu5qd;OI&z|gA)&lBK@z`#5(^)U6qtV<S1ZgAN?w<w
z(y6%eR$MgqDq^abPL8Cx;oH?ZIm9+Y(Afad8OrJ$AJ!VPP{!mj2A8d9R~!#vXb{fF
z(uD)QQT_%psucYXq-`T_$agL$BeTBT=(vB9Adg;9ARDjpD{M}Q)c$=!UqV8{e3eN!
zg1dUOxCCwKe~%JOG#Kn32liZ*1$o%Ego}~)c_6u!eQ}o;T<?Q6nqLasa>q+yK^Nz#
zbLTJ?r%lCDss8MkYQD{4PzZ{2Hh00Rn=IqT&${2n$)_4v+P=kTyp1u&7B-ZuY#j;s
zG`K`V*dIu^K9<v5gm!b+VkoE>2)0eB%$?V&!>LKbja=>1|B1uPS|2^cpzmN0x`e`0
z<ZkWLtwj#$(;p*nz{pi%VVoKM-O$g!lIUZQS5}t^mrzQHaOuFAJ*h!#y(3iCOd#dn
zRuYCkmBGKq$d2klx-{s`Gs{>-w2S|3qr$-7Ga%pJ)!TcOD%j_`Sno%B`&ywmV6O%x
zpde|%R+OPdY-`-UN&WA_13ZccNd$yyWIRLV@#lkLeNih_J`m|N1U5wX{zfg>**TL(
zIT84*Np<T~5uJzK`M7OyzkOp|JGvY*5Y-WoA@qt;TgWb~E4dEy4HC6Tm19Ndue(-1
z*hhZw`Iy>fXS)s3);NHTWFlr&{?IQyaMKwWM6|>Cny{|F!i-<yL%21G?#Xq<$Jc9%
zrcD?$H%rsggpowq-l?AJ6Lr{u-7^0OH^0mM?X5Z-IHe+4=`I3)Wf>`zH3S}qojuS~
zr}h+}F$#4M{_<@u29E`mRwSu)?#Al>s2?L?W&VB_cuOAi`7Hp{BdK4O=>!k&2|Bm@
zpSBa*qHAzS^02WPmyk<567smB0WW)DH@ABi!6P+{PHcnp7<ujY6F-ZJsBK?Qg#A+j
z_>1=Tet-28nzb_Z?PW8fyYSsTG~Bj)qigiF@G)19?ag(o_JoqE)(G1247;#m$tLx_
zst#$GVR>{<y$Dwe6<@CpSt7>Z0%(Xl%aPBo{?9Ht_8>I9FdQSrgiV^bg<+vAIxdff
zBI^i^G`Wa<{+p33f7jTMFh%qVz$*s&G97K}y`qK(^CylV#s~hccehw79(Wau9-s`>
zB}EFq^C3?m?1h8F7DOH8U(dkZKtPeSLg+4*?&jEA^Aq^_>CIr~r4S}6iTyps#<$)%
zFRnDQF!H;M#`7;k26j_K|Gg!MiT-wu%=koOBbV?Wo3%Cq#<n|Bp3E+9fua64IZjId
zp=a#i*N2~qsJx9{*thsS-K;)%J>_yv^GdwHRu`{vH;mq4DtkS$ksD&f3pfcXb}$Dn
zUr~+aEL-;<43f)Gu!Mx^K|5sd+YhR@>Zl@c0wLaQi@{2R-M+59af!0gO^f=u(Y+D#
zN|kR+o~1@8Nxu?cSxMPjAJQqMV3v(%^ac(*B<m7(DtslffO$8sRf+d*0~=#|jCQq`
z&n(+DdomH|f{r(6(QRZZ2=a56U??kDYv8-0%xZv&!M=GX!MVwns4Ur#>fEuL;4O&N
zi`t>2{=Xxg7Vf)c#{aP3s1%67Vr;TbyZTWX0`43cK?XclCMPHT01`DPex#G8q{h(Z
zN2J-nBO!q|bEQZWqbk|(U)Gyoc<r=K9!M*S{EkkGu*~&hf7ldsBO@UEX0OHV-#+H)
zGsQs*CI4=sB5OVYs`g0DTszC_31k#&y+b7`LRe1-BDV09L#C+OM|W_IHnwLAv_Y`I
zku>cYo)3CEh_@+5i<^dU-&n6>>E<1E_B-`w#mcTgWBG@O4K=oJS_+gjTYYwE2>MB}
z0xm}3>b*ywB0C$k8(5q^NEhL5rjP@NABTv&Q-z!zF?(VqtbJp3)MKBJ<t-a20I+)R
zD~>;Xj(e3aUJ3ATN!ommt@x`Zxr|LIqu)1DIAiKUsZOJl;w~EQ**<^qrYgZ}$N<o3
z0jAo*7D1p7c1C|pgjq4cz@j%qLTs(A=@%Cl?SM!wVQf~a&ytd%ZWYV=GBuq4%{Bq_
zc>xfeMOkGIh@ZDb8D?(bTw2rB!ww(E<{c^hg9V!H=AWvHyUWFQMON0;elr6PIfXw_
znmAu!>1rv=Pp-Rcq8`5C<Zu1PI&J?o{MX%-hT3oYVO&gF#6OrE(hAKdv~^f+YXeRy
z6Qqts@O4V!3(h1Vmgu45*<;iG?6(XuKZBTXn*lmHR%bVLW}k2lr$%2yQTTq=iJ(`5
zX2=e<k&!_{?q8Jwl`iPGlLbo6hnUt6=i$bx^n??W@je!65<|8S{W&Z(+a>bCos;H6
zAk$c@F|DphjmdvNgn$7_g$+4#Yhck0Hy}Yn5EJJ&1l)MEq!W&wf>dZsJi~zk)47CM
z5KSl%0^bVfIJyG4eI^lc>8dbUw7isI@r4RT+^aI|Ub`Yt)iC@ZS0!5a?-Bg6QMwSN
z-@%8mOhYib4I)mDY?Ow*nAi^p?%4dwcmkH8+VBc^f2IJbmUP&p>jxrK#!VtIBZ>S(
zMbaA#6T*VK+o7PY3hh~fUZJ{6zOg;TkfsK3ZJF9{E-gi}UxHEN^w<Q|A^G{t)ocL=
z^AH=ktbQ{xpNOJ)|2xcP^qcsh#yyx92K*d_I#4h6d+Ux_B2oP~;HN|T@Lx4E!i$@*
zrmM<UOzV<j^gDPW989K3=>EYo&NmZLJr2liQ9A~#SEm!?9F3gI^Gf`DX+q~-iQ-`K
z!2E(R+zA)HYe0p8{Q)suG5^TS%=|iOI1n)2dOTEb7cw#;laiJmm3=wva8lEjv<ea;
z`5TC}UHg~H{*PYjFSMUY2Lquk6^9Z;%m}S61XfgU5Q(aKTI%EbyzG#VguLt3%i#2X
zvc9$p&5JMbriq)eDt`LibV7BV(=zPGZ}D#9LI&mxMHG7J2P@#e;>E%grCn`rg&_*{
zv*3>mzi_n`Jr!+&%?@n+sP|=S<{QJ={jxJ-)6ngYVgn9c3wMk;QQpUseaUo!2eg<T
zwyrWcWU)U`xr;OC$%NS##<Q-m!#DHFm&c#Id)aa|K0E)|$hlSplsRi+9lIADiqnX;
z4KQViD-<E00Xoi4IBSX9HIc5HvKG3k&gx57ImO2%(S7j$Swn!Vji4dYcJ4s@`0J+#
ziw3|Z0Wi)we|YLky3>tK#>T4oSy)oiQ)j&d+)cj)6gR8<w~MQh>7)0mVA@(1cBPG5
zCCv=GN^h6XkteULWi&>HW$PVN9na6{mT#{hx<XvN<nR{1fp#nMWZ;d;F-kY3?Y%7!
z-h@-9V{?a<i(%Vas6DzHQOoqfe1UHw&w4Y%f~oBJ)*Y2H38N4?+p%|>!#?qCQ2|4$
zC9e>vCflb>yTMTrhjN#hZ7%#0qh0LjO71%&iXk7Np!NbgXvIL0T)p#Tf_R|#Ma)SH
zoeCRdCC6d)0}&AQkc1hudk&HE@m=^+)4x7Z^1^ZSQ<lU$^M;L_N;NdEs}ufjDo}j^
z&5DAn13eo^1dlK81&R@9!WzH7LD;M%^lnJMf4?sGfACc+J{WApV>DRkYN8g&!SR4Z
ztquzzder6%bWZOF&w3|{<{s8kXo=1+{n5A4@~7S39ZJ}7bf$=(PFzcweSzW-E|$<8
z#~Z~KClA6s3PbP!y`K-+>(l4aQTWx8n~j1}^1GEp;$PoXu&H*usny^5sLQTuYP?c*
zPFraa7%)CCm0dM^Z?cMrZ^`GED_b6_erfIb@#^&-QjVSiSKL$BC=CaQy~Q1wC+nkp
zA!^;0-Bxkzi})AX6^i5#wFh0hpE|0zc&^vt=u|o&wdb;o>!tONua6*dO(()XgKbG>
zXhoRk%vjHl-DW_otd~|Nhmlow+T|bB|C<bmD1Lxg1>#FfLsMb9#s_2|`SNu`zSCzJ
zl#Ls+WV^gA;Ibn)q1ZPW$#(g__bGm~iUCR8^7<L|jVP3}u47Nk7n`piZhEQsT7CzV
z<$q{tbD<UD8+T#Hx>tM{E$$^)E~FcS)j>>fUAM+KLRq93APtTtjB$O7Ly>fD@+n+J
z45o3E&Okf`j=)f}vUxcm+LZvuUF!)prSTR6)FP*dBy~u&L}Kw36=k;7cQR0rB$ywt
z(N@ysG`9D;ARUYH3HZ6p5y|)+AahV^4cCQK0V3obwhuz|n+7^+`{!StfLgCF{J_UP
z$b0VMrS+8;GR?kcc`M4GGBUS^SWxQ-DL21$38jwp!>Lu=l9CVb=l>K8fqOFoX@yN}
z@@hA}T5%AUtV6O<Y@eq@14rqY&)KJp|LsXkzfoadQifov5EpjUt)0&V4WHNpo;MJ_
zB56L_`dnhQT+B?+dVDgWqtPhZwbk3<C_lZgFx%|^O;?9OnJSe1X^GbLh91I9yKSdp
zMb-8`a`Us|dudFbM-xk2pIJqJuLRxPu^S2RsN4pHy#5Md%zzUUZP@o|(H-31cy16S
zd93epz$Cuqa$fWze;}*PPxW`#C+IE9S4m&!%!Nq_a18G`okLwJKZih)K&_5k%PuP(
zA3A`UqX0rgeywYjZpUsFAg+rY>Ny|XnG(terEc>Z>5(-y69+V%>i(-A!>|H1t{Qsh
zGHh4>KOG{h11Ob4tFxYtxfYfX-n;fb>zX5l>eGaZi;39*biV(2`HG3kfKx0C-!^W!
zgZp*QR{XRxHHO2i#8phD-=y9UT)F9nM>AGYSUP5sf^sGc?=Oh)QPRA(s4be<YbDSJ
z!dSv|pO1^(bhY(Xx3wKhU7AbGlvSzgRFZOiObNSLekOtU(=y)>O>!U6tYaS`ctJgG
z(IMX0L4rwWxk8|`7+<Ga@6a`37u5os=@7b~Xz`v{EXWKd-+iF^Y!QN$KkbktM_K|C
zfqxx-ouT)=^M@kgA?dOrk&hIU(q|iecHCN0_4<0Fj`PZ1D!M#(<Q*#|^NLsDF7{xf
zNs{k$S4I~0Dv#;?Om&>b@P;-Xdzof|33GE;#UyhF?}Py0w3qR?dWOa}K;Wq?S;wbC
zv$-8}Y>0yMmsW2v=eM1CfbJzdAoK1+`R2$~^!88}VPd-%f-fabCinki>MX;eYQHW{
zNq2WiHz*~IbR%7o64EG*bazOnASDgb4KpAu-8FPG<bWXW@u~m&ZNA8L&2i3s@4fa~
zzfE=GxpM&Orv)IzJ-#QBv}SpXG}cCA6{y?n2r)4+8?9sF*}7$a;u2DUIfoAq9h+|!
z0nPMEL!GI^m0okGz+KRJ4Rm$&l0FF)hH`%~!d(PR3q&Q8Ma4Z&DFMi0tgNiNd*km-
z@q_0TzqI~67v`ei@_PZ0BKF6Zkn7c4(ioY^)fb_rCWm3lKQ=k>w@=M{Ls(>VX5A$e
z%2BJKJ5Ci%%4Y5PO<YBayWC1<?bLLkC`F2+k)}`-W!9YZ4G%17><Q4cMT41q>h>k-
zcWO;K5=(S%rL&jH-w_+X$O*4YmtD*k+3fO!6Z?cQP=jI<Wna{>Vvc%Z)EPgQI&-ot
zv_=9HR&Cff&E1L)t#~z{a+j2%H%o!@z^02j33`L3ujg2z)vWe>Hh^rX;*3tr18Xsi
z)wMX08*S+pEs2ujhsXQkf8XjLX_-IsxME8B?8jadnvJW2>5Qx_zF~=PB4uu?0N<}H
zr_eB33Buj|Fx4@;Dez|q@a@|-?I7()o5(qXzpt8teZ1P4THu=|I6A*x2XTm>QAvgQ
z3D1b|g*B_0glScu{aQMVQ$@JW@%(5mi!;$iVS8Y#NGicDb(EK6uEqeSiP{0J-;8fc
zFct;E2z|lfkXZdUR#sV3i0%7&lx{^uAgp{`@W6mH9G5_>ooug6F*NPMWFWzdm53+-
zQuCL`oB!d7jw_8Ii4ny*y~M@x9@BsI*ZhL%V>D9hFDlVx7vqN<J-l%ayPfSZa~+3B
zvX(30u24d9ScBV_Qo)F}G7)hI;z^#GI$rsn2+kk*d__uj2eDYjtIIntFKl6%Kydv0
z_cT(n3#e(^(UkI>SKGpF*8^zk^f7&JPr(@69f5$c`U<eL&7N1Av}5wBh@kt|14W$q
zfQZMjq_=mgUAy~>d}qmR-%m46^y>+Ub7z{k8tqZ?QtHiP@<`}lC&=65GD7Quwpz?o
zaX}xjhlPe;bm_L18DBc1Kh3v3cpbuZjFn+gRwa8ERPP}=TKLm%vaB7-2rIc|*F`1|
zF?*mISW_Zsx{i<u91Iy&SsArSca+mP_FPmIzFizE;r35l1%<GszbO2H*XjW!caJ=)
z9Xxnl-i)vM1^c+hTW5(o|BDD^8CK*Jt`nx54=;^r&(##ty^V8JGn5cNQ)qxB0#6+r
z+ve5S2@bibIU)=~p(_9cQRzM2$}J3Pve^0-nM%e7bB@w9kk22vk=3fGfiFLBY%3z<
zDA&_ySu~uS$T8`?pyv08n{ua&B~{Vci0(29QyvcjV3*K9K*kL|0Hlzk>iG1_<27Z#
z{XywKe+&|j^YQZ15@wJJ5pNZ13swp~NcIz#{nkI4PBa{R&2p4Y(@VPjTMN28(9``a
zBWA1$gr+;y_KF_KJ$lMrUMmg;CNAaglcSbaHc&~<=*Odry4C#!w(ezgJ*E_*P~2$3
z1>1m=A)RO_;TB{vS_YKW&@VD`5dcI0ZD`cZZRSvJj*Dh^*e-@_wEF8e%;k!kFO3cu
z)hhn%a}?s3<F`uv)A|adTQ|o#e&P=w0JBxJ&7rA4Y7MS(w6*|{&uyg3ejMKz?zD!|
zr{Tz}9{q(4xImcNMeA90g~Q$9AxH%+M*21SoM0RvZl4Kf6CXuA0#*boN7tM1lFk45
z7#;W!j_R`u=%a)7@9*zp=`)5mZf-obUI0oLyTP=7H_dXBV}BS1iOb`?yJefoELz9{
ztER)3;y<n2UtI#N1RgD3hfeV9V})M6lnzT^z|$t{6;Ax7W9zPRCI16M>cH<NWGK6C
zAxui%g+H}-nGt<&2>@W&EGt0=Pt1*T6*p*5cA?$3+>(B*=R*pFdnM^V=@~BS+Ti?~
zg{>lYW;MfNVt$X>1x9^&=cr5bUaFNPhRTDviStA%1*wCAs2j4DSrLh?3LK04U$>70
zn)~euPfRf%2%2<{dwatzh4gO`fXMjgwAXorSGi)9?q8!Z#u^RFMhJsC<O8XmKk2Ue
zw=`2H{qVpKRC+bKy_1j_6-(#+NLWAJ?}9@Wb_SCmDHOVOXKSweJ$Km^XDIdWcQ25{
z)hAILZ93o0MJ%3R2omO*3|VNa^L%y2HGaWjy?x|6pBeX8G4Rii>jE2I+{f2gjWW^9
zU6C%78#8{ZfxVNIEEmMBhWOTC-dHDk=}nXhx3^x(7w`ED(elJisjpmI=8No|YGe$7
z*@?aIXvWPIGa(hzuEzN9pjc!9uZRW<SYk`lruL&ilhii_QVwi}{ilWCC49V=P+GSt
zq_)d;1pI{>B)qzeeU4?;ey*$WHQYiNu^jO|FG&JzW}KO*0E+<ObcQ~uyuBSW8zMjL
z;<1NUtQh#C1EsQsDsO&dhVR^=8P%cm7{u8)nb{^n_cfl^65bCJ*?qBNr`6|XKQM+|
z8gW6UfO(Yt2Y~OQ$nLKnW2FX1Y*roxt`3q&|Gy&F>^Yu(Gc#{$PeVh)fLr1B?}WLz
zxpHJG6w!b_hH!m-UBJvc+xI=QAUHz_;w2iNZt73g*w|RIHut(mP5@%ZqAV7bA71ou
z)uai0ShF;(<mA>?w>a`5HA%1SW)S$~r0G5+^D?jR{8$v3$&Rj(gTXZuMu4(O(5GK>
zLhN=#k)qGseu~@I!n&UZ=jl&Lyu-uELJ!ef$sJu(%ONg?8Wr+&38e=bUChC93ru-+
zhSpn&M|g)P*^icQ<+ks?<bjS>J;y_XPwJ!MLP;3&+-4$-YAbeWmqyxU3d~*u*7`8*
z?y`6zhIGW|lglu-?Y)*)?s!8gZ#Y=qZ>Bm<#C-~zK=u!D4wo3Haeg$lFo34v4zPxT
zA%$!j_I^q8M%-h1E2w46uHuxYnuP7!>_HdELiQrS#%5U`SS*z3Z5nOCP|Oo^JtTGF
z`bN@jymY|_F&$@iV)_;EkMgKVtLC25736^ukn){!22mZFn4xWoz^2i=2n9$wh=&GO
z;TRJWa|2*+v#_%A_QPO8<9TBCkwEZeW_EV-e6ydnZuBcovc$22b}}qtv&4u98JHiC
z47g4iR?`GYGe<4HIci;IXK>AB2}h((FXKzeFwzHo7X5lVA{pHBrErEN=K8+t_hrae
zF6fRvOzj0vk4a}@k19M#lLkMBWp`zE0{SlgN_7BlSWF7<6}ou`%kIxBp%PQx5i>qe
zLu{3I!#VGxD9{~j*S;e#FG1o!Zrj5B7zUnhrEagt1IG{VZKj#&?sT!Ceb<jr;E0a`
zYeISQ`p=DNs#S9O7bhp;?!DLq!u9!BO+msu=^4cI29chc<PoBb0~0V_sbVlOF7So+
z`g@13%>?e=%${QPz13xY3z|T8J(jnwr&w$u8Hu^XUvNSgftDrypcaxQnu1Q=M|N(c
z?89Hemqt{CB!h4w(s#Kqff*H7?AF&tKQAPKY=*978i@GyUI-0v0W=95ue45=g{tQP
z`6oeV@+m>aXw2mPQng&Z;Z4942<*eng7cgZ|5dq|CVPaq{RwUk{GZa5M{kzy8`xHl
z`*v|PN}GwDH#E)l(1&JC!joVJp8IgPU#P8$%s;`1W-?%d_dDua{BCYRq)AQ4fGtN{
z&7g%o?mOuB1+`d?Viza+@NSB?APHy1=xBkE&Qwen8$qel2X^>Ve={O<tA=-5I>y|(
zc$7`rr_!0-_;uQZWN2n2F3(&)>=x#f+W84TP>hz|<9__<L2rg?U5cdV@#9XkRVX}$
zU_DYvJTOZ#M3cy9&h8mPsIC?si$Bt~^Q@+!BXYZhL-2fYMD=qq;YiTVZ5Rvn7#>)S
zF52EOjQQ=nr6Y8!g!4b`gc?4`ojpqN92o)r<;#~ndzWNyyu7>?kiHicBdvGgU}Fc5
z>}z$r8zJtvS+W=Mxnk)vZ>_cWVL;MWd{8()81Rk<WUtEyIJ;|V@*oQh{2Hg1ild3@
zey;3F4Ej{58LS}UbX)_a4Ex_*O|L>fS=1}jAhnumaL&KK>I%s6GRP2?H8iGgA{Z-V
zs>YuZ$~2M7_QG?<@_lxTi92B?9o{TQ428OA&#aPt_NFW&2(bK?Tm`ahdOv5_LANzn
z1?<gZ{J_cQK{zFe++1-nU%<N(9<IUuK4i=mvyn{Q!aF|*EJMtti6NqwB)>A}^dVC4
z`|^UOL&XaB93lTY8d-~YbNXP|+M`jay#NWk4!$$jZ~N2Sc|yf_7sedbW%El|UB~yp
zoiNmTJ`VZPowk&q=Ne4Z13Inry49~+$sQR2v2X6O00^!y0x2CGM*=(+R7PHQ@)&U9
zkX39}27{}&w=jKDq`^1_&U_N3wPgG7u+mEb0dhWXYwH0dv`sf1d;-P)%n*RiYBu>!
zXA=$>=mpF0g&7gN$RHYtO3`yJDy~QB{!oBH)p)U3Qz9=HD8oxIv?<|$_1en<0QZ0+
zyvUrf<nS`pB^NCH*tgGfI6Rd+e29H1J?JD_b6Jk87PlCpX<CyKGy=V`>fGM=<hDu<
zb2ur3)zB2?t%7Hxq@FQZzE=2}5^TEL?yIpD^D2}fzSNR5=S*s1RHrTnRk^DL%8Olt
zH0B$6cu)eoF14DdKh`U}@Ah5#G$&Cf^7LeQj}xaF6s}FAe6E^c*M2OQ9$sL#K7)DI
z6yuuz=f(F&ML4?Wipbvp*7;`kxC4A%0D9C@QPYLaR;+-n_3VdT!k{H`^D>s9#!vrX
ze=u-471E`rGW@2CP-q6=KYt4u7l`m{I5W`_(2@36F5f&!X-p2lp^4z9)%Nws_b<Y_
z{kBk*z`@cIs{vPAvcdDuRnElgKGWJzk}OAs{;*7`f2cv(kq=(x|8cRYfZ(j`(%!;i
zqgbM$`7lU@z2&Tuwtx#}5B;{yGG%3GCmPP~H#<<|WnnH8yzq&A4HRM_PZw0JTONfb
zZLF{vwa+ph|0zBb)-uX%ZZk`FT>eQH)w3CQNDWT{b@4O%(nbmS9lhA6?*?~qa8Z!d
z@liTzaNa7nrEs=D%$sIz1+(_NmG$xt%!|{fBs4FZNQ=w*s(q2}2XPNWk-rO`py1bL
zCLRQS3q`3Qa14p+#w+}u@403?A`!55O#_u;9z~1siLtRwz{NF)LgN?M)g|r#%)Nj+
zeZ5==9lKbxtaeFtyI1Nb8xRwmae~xIRXlUXM*v$3LaAceb@3VfxtnJ7`WSIe_vCG4
zcH1IjSJ*#?Jq&bb^q%Uv+OIoS6CBA0&V-Zc3SobXVee2o=DdZdQveDuL`sHXKyWvO
zG^xO2tB$aGjERT-?SK<qx*~A|xMty;{mq;lb;4Lfb_<Qaa3TkO`c@=TDTU#FKdg_I
zSPLUua(9l5E}d`0j^o`fxS@qc^N!p}l<mfD5`HDCD>yqPJ@jQ>vRSPEXK(hgPWF+8
z;Vx6GkKUWlfo|o_4|B)aulPlSHv&Y<7y~#txVdE$Gh1Rua~9M&#_2>vn0il0e~x2h
zbAK;<HNNK|mf2Rm3QFlUxV^B#0~$8wnC8=yAv%C~O~92t0wc=>Hh#hIrVTBC%3Dsy
zfi+ao>d&nHc(DO?-j6f((vew#+Q>VP@_QTezjY`u{ZT+t0Hcv$mM)MxI9Co({A%7@
zTEOgT`-q|UOYR)U)RdTSJbtgaIasE?Bu*B<pi#CBi`tSTw~QW1+Vq4eH@L>435!yw
znyU>w(S}|WE@+CHvJ;y@>{Z+{;ZO6@WK1`e0yuAUBqGARkOWJ)=~xj^B3ME~PVrxp
zrh9uT_O!Xxm1Oi}B!VVov=z4OIF^}fJx_0W8eT>zoM65W#)6m}zepnjoaMn=VR^))
zjk(d1)bz9@v~)2i#r!UwRCxAiBFCwKKyM;xZA}=ZOasUr;xA4Pg;4eSi5EiN)sIb2
zKkaNvO|$(oTm<Y0M{n>O#2BK6YylJ*1(1CuB_-wA=6;L-jMFDb>7AG3BC!3U1W9fP
z;0Ctj2SCTzDW!ofL+#(bB@3NlN9o!k{u#3%2bat4JVTJJU?Bd;x?8VZPMxk59J~ls
zeIj+jRyAWHCvf9?#uh~}(!b%u?);WAgT4$2YK0zscdiTgrQf4MGT-M@l8AJr(RwgM
zJCDHfnJi%0L1l?RNyp&)`X{G9Sm1-G8{@YB2lAC!<*tBNPoF`a^O@h)6GdXbN#-I|
ze^Bn}CcBc8ko>6?c2j@C_i-~WUZO9d`BC_=zbdk1kEg>6``{RVc*RK8TQuP`69Z-e
z)5|c-dHEYG)-azq%n<gnS}^EL<-8+x_1iGa=>fxCEfo~zvVD4`uT3aozr1<igY5xj
zA6N5;$?}q#0TC!%=l5T%WY9&#9qJ>jWeVoZl@f*hoWZIrVv7>QRpDfF#s#jDHA?iV
zAIQ&Z7nLA@nyn3=!cbBy1B@Q&LhU4YMMN;xH0tme;_Y~)h<MSqfSmc}LY?J8gALB`
zFaxAgRObEt<{#fqf88|aB@H}d)a4VY9Tp9CkOfmzRH!B)#_E0wDUx}<JgRUh3;)hr
zvybE{mzo@m)2Kri=ymz$zQ#BxdAt6!2%x+WlhZL<_RSAVnw;-94f7GXb-n7;wFjg$
zKTKd4Q07KivL*E{yfN(XCde=zrhUGw8;y{;y#B?Ax@BbDF!PMTwYpD06YduyiwP@m
zDKF?i+49N*h<@1vL55j)G`HsE1;x+NSuIQJfmAyaMO+K;>H6h5_x3Wv4kW*#lp{fV
zyd?Pp8^+w>;I81egO^bTmtn?H4!`;}A2{{hdzqdWFhH4T0wY#BRr5F<)kqw;>O?ro
zgT;*5zcJy|D_<5eP|JJxqmM*oRNnT{y|>8bh9&y4<Q)Sw^+erF+KLolj1tk`*LJ0=
zU1WeFBF+Ow!zcz`#Wi5%U&qyyG7C4i;E3~Dhn)jsctiwVl#I*K948V2Jf)Be96+;_
z1Q@iM6xpNy>*-k#WJBPFcsJ=M-<X64csS6ksG)GFPndhS5z|CJA`L0vC)J!Dygbs@
z?0`nBy&)2LwkL+a;Z%b;nTG3uDXYo$6)F+C#7o;m@W}TRv*tac>jO=9WP~Z&qn?;+
z5|4O@mr^Q{y%58+>!=?Z5PTn^T!}VQWJm}WeiXsj%gnZCo$aAhN4uG&PTP#c?L~31
zKE}{AZs#GQATUaOr!pYtBI2gn5u0B3`E8F#^ApvL-V-TcP>$`#s>!H7Vb8B$1^|l2
z<0m`g+@*g+@t!S7Ngt^@^(XU*E<JPZnxNGqdE?-PcR;+p?Yip9x!yF>rbonABhUQK
z&xnO;VJlE&<bTCwU=Ly{$j=sb+H3wU%gPm4m$<aNb4d*)&&$srTv*7^B%BU_jR~%U
zD4aWj($a_t7Ea-R&FSF$nWfSoaEuwcpq3@KY+z^V!hCUAJQ$&eyO-j0`|cR#4ug<4
z2$mSik>gw&53z~K5apFw{gA0ZBs{~;BsFJL1keoTh2`cEv2ql-Cb5Lk&L9mxa-EK7
zjMhOVW%kP{i`T9%vOs&!V_G=aw)CwH;*&=7_4Jo(N-bjQNXwXjy+|%GS)%J&@x)!1
z_OpWW#1u$l^xZJ5d1Q)7!c$3`MQqA%zIdFBCJLOTJV5;6Hy9ChQ6x!$+uWs#gk-R*
zcfSt~KQk09xj8WdQSpG%?tv%LkbeqlO<$k{8IyU6I5qk`&e5kg5U=s<n2$C^PJpTR
zc()|cB%_xvWKq$@oh{yRP14Cm9nYXr2}0xJf8cQ!`=`{t+qYe%eiqcBjX%vr&x8Y~
zrKQEBzuKvb#}JVj@fMU*5}jcw&fzjDp`Sd+iiR(p9i5d$jufJP#w?!T7QEl|U!NoX
zT#}#tpmw}X>0v0z#O248MDE!@9|%*tbtWWh3fKR(N5H``aU!S+;LJN|z|W7pA_g2~
z@%Vy=;FtyGJWwBsrC}r_7WcVnEGH!9KnR)f$7(FcGB^76`|jz)5k`E{vtRg}T!n@7
z++5@z4YYf>0I9p%UR*4$BG?_(S9y}~5Fm4wZ18iDmVkYM;cNIhaVpe3Rt9CXmFnVi
z6hAmNanunKU`*eFvXS0v?z<7;yMCh143vKxnz)H-<C~#H{_LW^wDgI?0_cCi^KCsU
zT<4@LxI>2WRC+p3gn@*?wpRMt*%5WIKwH(n2^5V;)JpGprCBzy2%tT*8+d!>EYH#m
z#Oz)i5IzYc_cNrm#ubZ~42RAUO56>p*Sa6gNrU8%D*v_Ou^`|`_RymrNcmM(%&s7Q
z-7$C!xfFCQcP1>Q*Su@fdx#Npda1x8!Ys!2Qj8d>(z3UYHQDk#THASvz6L0aF;Ce#
z@iSBe5yPS?v8NSEx<+k+1S*2nWJ$xc>I%KO#&NzSDYA|H_*zLg0I46Tm;B9a#W-Jc
zOrKu95x{xnR>jwSLEx4SSqx7HO~6{b@Nc&&=;(6m$p}`s!k(#ccx*j*>DIcT?Hc$k
z+zKuj+|gqTb_D~Q*$!WG0wzy*pb<1E(d4Eet$HL9by<P~sDZc}>ofH%;kho2#{vws
zs&Dr}+#Ly5GBn9z>7znoABlqIe}52qzjXHT^F6`~_4qG<1ofBvXx4zI4_r)28A#lz
zf0kUy@piNors?rY@NP3VGDMaO0Cqknr*V$wnxlOB#8FoNbvXcqqXRV&?y?26ThO5R
zIR)rwMg#ny#3d!qVcinK_K}e8`^gXZ+GCC-RV2gUm>;`M4*YwQv}pw0+%mk=(roO5
zD6safcULi4LL8Ulp@_~Hn+HU?8I)b}1KJp8Ns?Z?b>D;pi3Ytm!tClQGVrhKUTc5P
zeM`Z17@f2~+Boz8fQ(EMo-?P}vM$p5gWYWHcn|(%0i3b_E;(=@_pQi(eS1Y@oGorI
z8f%kYf{T~KrJnOAh&$YwDvc{xSoM)&*e|sVb*7;6`v~qpwy($j8c~piY+yjE8$Uh~
zV1guQvhhdoeTRXcE-nRmr~&&+zuo<jUOj?uJlk+2WNeg=hY>AeibKfGw)9`l-mDX~
zQV~Dp{2kn@d-N2z-P%_MI3AQA%>3~O8DgtIcYrE4HT4Ge=x<*a|L^PvUbX-gk0)XG
z!a*$n(r=WVG;F0>TjSZ?89pM2d@jg^@^)!9D1<7m<XTwg9UekbgsL0bL3`s%PwsR9
z_yw<S>;7L(C~_bt$dk>PYRFdG)NxPBue_*FD5$s_2u_6x(S(eeZ|n{Xmv=lo7f))J
z^ISlqLJ$1`)=?R#gEEg)>Y-FGBt-Mjng{dp>P#H<=1Y>l8M2jsSN_~`wt--=-YkRA
z%Dn3*2>oG&4hN4f(xoikanj{`CUUzwlD?PgDK7Y~mtc}`t+-ELyRW{PcOx`k25L(m
z^5o))E?A`KN2Y3Nos9EaO!#5Thdawcn6kLDG;w_DX<0ZbZOP8Fkag;Q<K^-&c0uO_
z+02b#K|b47&;j*FRd=&j!cjpBpFYN#&>oyhik&cjL%<5BRht`}#9ed@-cpppMsB}+
z^?2FzZJ7#;^79~=zBU|nTS8tSon$=RV_}5C4Ck{Mmw42%El#51^WU2i@+H4S9}WUA
z^_J0ulq%@%{zfbO@l}dY1wB)=s7uEUZt3V)fuS2&)dn(d*Mtl_LHHf;Kzz+N23B<}
zk>C`4)NKU@i<_hW%!)t*(S`cs1kRaYqqq>J;)}s#+2FOO#;vr4CPOxQ8sPg&>tRb!
zeG`0RjTpS0+a0#hRp3zn;zKfzxDpOz^@{yBitlqF!Q`HawnA7%wViRcg4xU5;;Gqi
zwi<#@FUVx<G@*EotZv$b>4{?4B91?-j=ek?Vq9!6S>F#N=<&&g@qm|w$g(4!jdMdd
z2M@yMlg5kjEH~P!%SFO@PIn(JyP79S+Tr)UlMpm)?NfG#ar*>BeA<zRs+_PIY760-
z)ppp}t4~9V^fkUDXc7k+39=%v%k`XEj^^B?Z&a>FTs@8`m^=o)1q&OhW18)D1|SNa
zFn2_Bzx!eFn(&BZI+}M5@t>x?2?qfq86<tIr12_~SV<ZwAt8YR$3hds$O9ju%0Wzs
z|5Yt=)8g5M^t%Ir|JQ+uqw34lMGS9F|MJ`n@YzE0ht9gM98>o#&x>dh(|+0afM{sN
z(WRuK8$EU5@FnJ|xcif^ed3Z?@etKJ>`jFtIcaFFyly=2)F*#E#8E|5#uty_ipgdN
z-klErh^)Z4cTRS~wp6AeE@OmF7v*VT8jUYB8t9(Puy4}ZO+LoxTUYvk>&Ud^YV$ze
z87mSeCd-yx&;~>IDayqR6jTXtO4r0o7{mP1`jJMd;~mGlc>Q}#vNGOxhkt$rUOq?;
zU9>qllz7M**RVU*20Hg6Wh)=&Nvqth<HeWn9-UgU5_)!tWua;vSz==2hQWW|Wj%B9
zW>U!uuQ=&KFj6XGUbQqd5ZFxQfq^}Q00w-NL6<-pFn_m&ha(e|0Up>-WtH3Myoxse
z?-Z_mfm<61m=jTd|7IT?Gg9cBG-zQegbAN8`xNm$Oaxr9<=IugnA#GiuI+R$%dT0k
z66xSeKwNi1-^3AG%~#vpyDf#Dold?DMygF=;0+sO;G?;TUm>45B@lNyEYbnvibXfb
z-o|8~Im~y--u?8K?4b&tATsM|V-nT+fL`<>1Xj5x25M-)B+mf$cVg#i?YVrqvbPv9
z^Z5Sc)qS)Mk-W3V^tcV*ECF@Hypg*IQtMrGEDSVrt_ZYZBdggF5~Kp>S^uDie_=f6
z@4#|jL~M^uB;}IIUK~a|R6=#oeB#;-6LzYYN5Q9?jc2^YM^69#Y|M;kYZ(+B78Ueu
z*rX1+9xjxDH4@afXX}C<1ck%^N0=!F7c5PwT-zQWk9~D}y9J6Ouyt_I)~S0|IR5X^
z8<ZQ^^Wba`W%2i4=USm6AAGv&^%fc^b(uZs`=xhEe|-C;n60LdaOzD!e9d}KZ7s3%
zI%hz}QXln0893Z|7Ut^D5FhZ#9)U`m=+_TIo4stNN2~M)<NX{Z^TcS&ipo0<5jS0h
zrRX+NK3>I*HWKpnugMv`^{_MjYvmRZe=5Cj)~1Yu-i2e@_0fi{-F<%0v|>xS^_7rc
z3$GtpdpVa=MZuXXSd)OqSstN+xeB$C7~yhWIGY*nc5T{kVTX^g)X8721|t5|$v>)f
z(atLTwEx#}vpLQsT^!SYk1B%h&!aM@L$`pEo}Qe5&jOx&Kf1e<bwlp&eYExTvS~e~
zfyo011VREPnWGGYKRnRhGF#Pu)>08Qa^E-pyI%M+wFF*pVpkTBzLDdzHKBSGJzx3r
z*%K#Fi3RLB47<fv>$-mryWopx;Tniy<y!i8bk+H3?Xt=k9?p0Ivun1JIrFFJJH95m
z2u?l;PK+z|E*fR?jA#fxaxVcypUl!iBQaF8noiT9c;MXWdunqLpMD7Sl3L^}$m|$Z
z&gK_yYEF;J`*15Lrue}xW#l%Ia1!#a7@=l<9#}3*G?jp%c8lM4474M$#%JHgiGqme
zcu?9URB#|$-!m1+W?kyHIO@0hwTW<OUo6mdy*j59Mf9z8So61#C9<{t?_rJ5*K#E5
zk2`(*I8zq!uFGbE+V9MF{RO&tw<$f}UI2P@vVL;n5D;QT1F&#GF(lj&0H6E^`~K@H
z;omB?0QHy>NyeT0#=DHksqbmy<A%h;Z_(dp>fFyKC*zC-Y^Z6UHemkWwPR>1N`Q?B
zbmjSb-X<$9Eu$gNQ=D=r;-8yYZdkBI?>S$?>IJ+Bvj}ffX#Lwokey?wRC_!4)W@Y@
z7K*y9ca6Ef1t$uB<w{Z3d_s$;$Scy3Ps<O=p^KF`y0iD2x@7l}GL<c_z=B$l(|A51
z@7+sChjphB6Sr&Nm4T}jDDo<N$)s+Jg1+nosZcx1ekx6PDfU#1`y)X7xQnNXdAvt+
z6<vPy?db0tQ+koPuwyIK7tW6uU#mZ%u2%#gdmc4-|B5P(p851|Thb#SWoE!o#}WwG
ztzusR96DhBxcT$TYdNV7T<jo8xN_}b$`7}vCPiFMc6Q#9Oxz!1o&NLq5C)yZNU|c%
zb@oUC1SZC=1&QFiQz_$<<L5E9mT=r6U6;q=FLh)TWZqMT#8EyY?%ZdFfABGZ%j77R
zzu#Rm*Ju~^A#Cr!e4{ey62ClU6^&v^_7F=w@LHRYrsDhy-Sz-Aazn-W?g_ELg|UF?
z>Lnr9V8=Sq%aqvx)Q~xE%D2byls%78*dOJbX_FLbRg1S)qmEj{{K>Ar2z<V0a~%x8
zLevtoC6eV+w8XP-p`w0G&(7&g_w9r11~2OQ2g^(3jml-j7SUSoU<H#W(t~k~AMsbu
z1%HV*KTFIeH<xUG?V|e<>K^m%@uR;AxXtL_*J_~yRmlHgizeUtvTICHh7MzGGDccI
zcy_h*!{AC}Q*$##p;uktN9+hhwJvF&{4TKD3IGb!(9^R)STOjuHHI;?>yVjv3c2QB
z=q#%TI1P*HOW&AZ(-OyIq9{Y0x#qD|qkDAaCA$PmOG|<A{lK-wdb-i0sNRx4$r;WH
z7qct8oHaf}Z0V%>l$W1?c_pTY&SzSg*}5gID#FFtF>W6{W}W_2@zP9&S~DBb7%nGg
z?(0IZ^Xu~G5i>bdmJCV1@W~$h&4`~`osl&SH9}21w9oa~$#Ayrh+;yUZcesaSpur8
zN+Vpuy2*XnvCY+Yq>{VdYNH(fG+vV96AxNEMs=S0^t~{0a-@YK|LREu|JE~Ur?EuD
z2Pb4&jK#b_Bw;#+GIhv%jBhdzMN~rTinD_xYlPpZ@?txSv-{o46I>*g@Ol85v*eB&
zfAMOY33mR*c;Usv`s+Tg%6Y$7%B1&8>Yp7HHIj!Iw%;0s8ebT_NujT$!p+Fc42pGZ
zwQe`YS+`ok-YeOwZNU3s#Ru#aJNM~~LH{t1|0TlnJfU2+O9NzB*xsHEFJL`3Hf<qO
z{Lqp@!FjhajI(8ym}IqjIyh6%{_nj4FKgER{HLK-IE|RP4sq0Aeo|z|rvSM0(<{<v
z(B5!1ZP{QsgN{|#h0#4d1xA4>X~@|z_LfR24jO(R{BR^-G`osZg~X8Iw7uX;PXExt
z%NOGdFe1!tiThvJJwzWuic-aMDsQ%g_PA~uQ!kK88k;`sh4r2yJv-`Z18J#=MCsYy
z<-FXUfo7#o3NHp>gyhpIy1Vja_sk=rtx$A_wQ|sOXviLa?SmfvoVR5c3H?MAp-EKv
z{J=OwBZ(0_E^9PljHizT@BLmlKPL`l<7r$%>TsY`Vakbq)tfA{OO3(t42pOdy7$B0
zW$ycMM5_FL>S&+p-aqHSGD^_9B#_&*p{{N?fX)1KGdDY}^7;1{+7eyN`z&z{vt|N<
zoa@09<BN1rAk$4-GF))-!sSZkpF)x_D3zX8qFh#$Bj~tGoyJ03Yhc3G$feyL&eZ*8
zYu<FdAb2+3vg%q+vt#Ol|LKsP_HoDjWxKVZ!VjxrU~O++4i#fD{Ae3Ot!C@J$dWSV
zMecV}Gzd2nKFlQ^ep!wHCLhHitxY_SY|J3Gr!nAniqN;frnN_m;0-B{ZNk_6hK&%%
z$jJgtrO%7f63ZzWZh>zetTv<P9S-!|vi^1VrCC$Z4UXB;SsGzmF)vH9Q<D@$49_c9
z{6*AzgFk+5Lb@JqhU{r9y=ke1Pjn3`TYg{LooQD;9KrKCY$1}#&vH>eBpP$EDeC?E
zqY2`S>8V$+&_vV&2nxVjrj9~4fQb_u7iWI9)@f^N%Y$x7mrM{93Z)^AL8D84x4hXO
zAt*!N`Oa5{;(z=TEhO|tJrweaO>5eA%7BcgtXncqMZ%|%+pd8PZOo^cYx?+?^F3$Y
z3Mx)o3If-5L~m%NO`=`mn>{krb`m!)T))M<Huv#Je!$|LGWmQNuuc?~L8RwJsi0nZ
z{-WCVK-grf6d`lauaqt_t#(<IwpJ*u&qsit_Gqd_ezKN>6$l~3Yv=Pxoqi=NJv8O-
zJrzImPGH;0Ce7Mphc>-DVS&KDogo@iKlEMccyI;XM5hS#K45*Zo<YuzO{gmhWNA7~
zbc>lCt5*eH(C4^`G1<o3uyxHvq=|-r9(Pwu22H;+<2;sK@m8-Pahq$WYTN(fU`-@{
zx{pF+;y%4dGbjoXf9-<mOF_XcK%sp3-hwU|%nU4U?Du+y$^pryNEnP0jMdkQB!QM|
zm1-CozSn4YTeSQZ_i*vAQ2U>zFuKPLFXM^K3D!Gz==LyK9uhe|;OgN*XzoL3`n3?Y
zI?}9ZqQqDCO~rKIgsav*XF?-=H^HUnL-;GSH+08oj%pO~e73m}=$nGJ+^(ror{h|x
zejY6GYTu#)-eni6hUGfv@hZ?Y1O(`zx@!~L`-mdoC>TLFf=<x2j1J(JyjrllMe%4}
z?}1eBiEb?%JR*Bfop>_LXga$T=YTCTuY?^%6YLS<Y*|;8-Cduh4!yID{{AJAhl|5B
zohT?b0#3qKz&u!yFnzA)1B`zmc!wd*D5(QBudv=d{OEB{c-z1D5%pAzS%FwE+i{on
z@jpPHgDVm-rg6GjX`Bvd-ZUU?Xh;z#5-I5QBiDg?u?Um6+Z@W2myyu}gS8AXFNdP0
zJxJr`3x7aH!KT!Zfas7ikheGyNzTv<a3TPoraj^Wj?wUb_P8q}GIta{V5SFJ6BWuZ
z9tbG}3#E+F<ti2BOPv_9D^D8h0AO5(8p<NO544E|w318#JXWXBuK|8)B3ZVIuAx@Y
zUblQSKjvYG5!q5AZ^kO@W7hlmmrN~Ood!zFXs)@qBY4nKfv6WJd!mHOPh<80jtmt_
zpNPsZ_|5ec*$?}*(Idz;Pitg6xW;;dH9z}&!_*WN5D63^&~x>Dz$g0QIVqxAC+~(Y
z<(ZK;;PiFhJ!g|Q`PgGglhALU8h2J%@cqcyY>&H97lz&e(l#3i2TsBi|L3^DET*p=
zzgt7fkGS<s(Rl4a6a~)?#O&^P1~=AYCmK+A-;Z0pa-s@@SmbIW)t8NxW5IuTY8+x;
zPV^m-1WYzwL9v=phk(^U<TMs_v5_+L;c&zO=5&D+6clkw`k(s&mDoC;XhrRZl>rxE
zJX+SHc**%6R062V1rWllHk3~|QGLW<>+5%zXU0dNpR5o9e*d1&$cWlXP`{)GoiS!A
zbSuQDtSpswaT;=OSEr)?defxyD+jh&&GWVjs~{$g;Ou7Ld^(TxG!6tE+Tggi=7Z_%
z5ytZttY$9JzOBCOS5ID4(wzkF82)nqt-3VVTVM!Spk+k;TJRS`Ecv;=a4&)3JZZ@J
zgap&U!d$m%rc6&eUzfZ<NL}rGUc|G#a@u@9Ov<|v;*wT{jIVPvSpo?55O!hNBJMHt
zwQ;y!Ue|T4oi6;}pI`MqVV5J;(Eo;-(&pw#aaqbkV)E%kmaryzU$~r!VELBiknZnU
zQD7m75&c!Udr%^**JdZum@PUGUsze2nVCruxd>5)tLP>_Bv-<D%z5PgN1pg&ejr4U
z{(UdTm9w%O86fnF<I(X0Y{LR&t<{Z$l`R&K!Vf;Rm$CRO&~xeJoi6Jmg;L{%xiqfZ
zm2@&ve+$nYcnh&;MQJXy`zWi`A}$niJBYtu(&qItZ=mZ9&TwW8-TqXMhx$U81wb)>
zHm1Fcm<n#Uy~O((arK$C4uJl}PmYjA;n1dx{1jk_szF{W-Fi>h-Y0J-uQ?d#S(TAP
z^;%1jq7T!9`SHL*fkxNmfX?+MRCT7GFo-h>;0(k^%XyWP%P}dwgO>ida;JUaMbf%}
zx{H5hv9~wTdFH*q2yop0F`1gh(4S)gG6N2p?w&_`9CO`6U<yOc1bUQ170GVnjnQ&t
z>$cubLRk2JO);QH;=&(w_4WP=JELBnK$#VO*c<WG6v&p8AOd&84#NQin6VKeWrv_<
zoGzVDw)0{k-dOIIpN*K-DY%!9+xkT@>}vq>Q{9W`{PQ)w)E^M$)oEBjdr4ga03ZJ@
z94p}zwIP`~xDf27uuU-HUE6V|<~`l`BSVw)*m1!Wig~sShJ*wm+nW~d$kT|Q+}V%5
zLCYK}Id@e@zAeh1Y!C|1oN-*S!R^3ldwRY!VhS3%cTOU1qJwbuUt-nJ9dqS!$52^b
zV~u=jfw>H6mjwWgMJQa2fq**P+TIgWPGePMen5mo{IoVc&QE^`dmihc#Jm`a=@%^7
z&|r&J7c{v0)&;eG$qCs%6?)J~d`}@m-GePbvc71<A1>YR-@j$+Y85stE`S|9)Cnj6
zDtN%hViMtF#Q*F6^pQ9U_2Go3jAH_Ba<yRG`KD6yJ*57=n`zMIRGKAuqxYNc!l^84
z2+xZXDO@!TIm{3Juu)DJ5y}dw!0YcZA$=?-%;DCqDFTG6IsR%pUh`J?@(OHcUl8sL
zmNaLS14VX#py}2?tOfOp(#J`-ARv6)F#~h_TCeCIziZ3sitjm4y)^)PX7#~<L4n$o
z{GO5or3>Wnp7`Utu)%}=)yeDyEq`2hZRQwv*##|&;I*nU^DG0rg<;fDiSqhZQ5ON4
z@PxHh2u5DV1w7yD+oZNn@iv1vc`VV(rUm(RY|+hbp7zUs6)y|rsG?~M)KpYp0E6iC
zW6c8Ji}mL=iYa}Pq@5jW*VE$}yJ82Se%pUX*1{&LK2DCkazE@>4W&F^F8Jww)B6fL
z9x}h@#8);)nF{hQT#&7IefzboUvv3YDfc5|uI@mfd#U}yT~w&6BTMvCpYH$#fp+}h
zi<XZObEuw0UMUP0`ETqV+)UsYo!X%s#OoG#dt}tsM>+Q;cIAnE(zF<Wt}r*{L0RTQ
z%>RfbXOQ!Qhn9|$?Ns$`Kab9!z%u33;!E+9r-TL58#c9>&i6AQqAMQaH?1qC;0PhE
zG*KJBSa4P!OQt~(T}4&&$7)mu5+oVT<Ex&=Bc5H@B2SI5@e}Fd=G(7MxjP0I1d__=
zp35JuShzyQPA2vix%O)IzWhCfs;$D)Pi7!aFh^7J1airi{N_oZIh@ww#3WIC#+Ifg
zV(!kXsW%4h`TzSlu^=GBr%wm1&KARbYeZv`14*9deNDeqI3qb@D5@;6jx~SIv$uaq
z4OSuqh!&QiRhNgl73<^&5)bm<Gk#d@?MEGzOf7_u^f$DKX7#9!Kc(B^KmDFV%B#5n
z2u`oPGQZYW^kglu*&G$r)^VD|ekY=c+B-4@RFBqq3Gj~Zmf*hL1Kk1F&uEKa0JyNv
z;F_br467YLV@BNhH1{|!Wc&#o=<LYoTf^bcvGsCc$ifau(-giphVAsVN~q_8)r#26
zQIO}g5qAY&p|lX1N0hJC4~%bq02-8+BEKK^18QD>%^MwKKGW8>jk@I|-%0;Iz=HUt
z%`}tso$y~|Vh#@v{{;AulC-rDrmt^U2{zPbK>yDk4Is#{5u^!YPGsV55a)d&pxB6u
zSXgnJj)v-qL44F;6pA~<mB;;xs}WYCO9xQ|={kMwD5P(`4Rp2~OgY-odRlg(!~W__
zANKQ=zE}#yw>Q|uGB@n!s}=G?q_8+y$c0)J+3bCMkYpC{+@@c<i>G>x0NEeOpGegs
zba|PKQQah-3Y0kGAL-Jv24vhY_2ebK4!TO*mx%1mf*VP*$qHX};4yZ&5lC|Hqi5<}
zRMoo!zaeHMAkNm%2DH{lADaPMC6|?aTOwIYgvx|`EJQK&(<?N+OFW?pkICtbZ+}5L
z{;o`!<N)zl--(z}!9<jL5Qw>)7tuWaU<uCO7X8Wr6`1?_zkw%E#^P>#cz=m}c6!L?
zcLwtZO_TY3JfZeMk%P|73u|~qcYpGUkA@&GaO%vvq0fnCBL_+Q=poEDPVnmIuDnQQ
zQ5#!y@q86#G)ahD#*|lt1y(;*-CSSElo3JPcqE%0lvtvYqd>DH!+1lCGkryfs!xnp
zf@;Ag4vMHyClxTg5!1WnYb!b3xXio#Nzp0a_gg%~h?yss8dTgn5!sEAX^if?{!35j
z?PJ9EVlOiHFV-(zzM;<iOzv~MR}?j-VYn2YkM|9X;BqiP0tGDGuH0@2pVKD`ipwTT
zoxEwbo1KCR*IV9hiaosQ80<!|8PQzWf0u*vzSJ^c#G^&vFZnXaF}5d|p)RLprA&E4
zxO6&7g9RynqB+j|r`G?|pMbgy{44x{y2JZxT=b-9-NzeU61j*0=yXj@kvP7jk*e_U
z>u;k=9FI2)C%9Q4Ix6vrbV>$u<3m?7fs}std%~wed-8x;iICQEhT#lnT(k$G1hi>S
zi_ko<>#jYPZ!P<0z0?%X@6kTVyT=Qb)OCd!XBa4)jOe{9M0O#Ao5jgOO3P6~G;5<9
zYamYKwqKa@auXI-)`1?h@WwP<fkQB)$5M7Ymk2!Q=b~Z<?kwe-g3stXZl?T-Tk<1o
zbv;K>&NxV;{G*CE5H~OEuF(Z|zOK8TiY<G#7?h+AIUQcaC2#MhLbmXbdG;f_{ToTi
z3F*IOD6?$ZT3SU1ZyXFMj*%g&shsM@PsMv&p$-345`PK`-Qd8o&<c8~4xcija)<GA
zoqW?X8NDZ#wQfHYEFwm)@=mhG;tQqrHTz1W<*^Js)V0WEb0)iWr+Y$QSYW~D&~p+?
zF60-ZbW%Fd*(4!<u;V;)O2*LWrYdrCjF&W~3p2Xd?>&v5leKMP9PceiW_#i`R}%<1
z{6X)2yM>Cq(<WWt6sJgDL~>;DarK0dmuM9!EHgnVXTcNN`Eri6Q67Y<W!N)h2nK{B
zTwTd$Zjn<91BMs9*VN@QdO-CQ6lm-R(?xuYSpB7j*cxlshzlk|ZtS03{}7NSbu#6`
zPZc^w0eOY<^Q@Y4vVBS6@7famPhWZQS~+-bXxpvTtXaa3UnL;)<nxy=d*%PWXTX8-
zfEG9G0=NFjBVRKIUFTu(+7~8PTD{NlTi#I9Z*M{T^RrKwW!LBa@3xGpIrUi)i0jxt
zagE?LQ>{B;LR6|~LK?_AmMQw5=E-CyHaPr6ghH~QNcE#+#in&3{silG=(|ynyXa!d
zKf*8n<1YqO(ZZM3@Wh!$hZUgAk~4DOsDo{W$EbE5(j#!^5C!b}Z8~9=3jMKzq+k`>
zfOW*?2gTSF;qgbWrd>>IUFz3FXqI&Gh!9iJb)&nB;^HOW;NX&~K)Auf2bV?^Wq_*^
zc67197BMrHph&nbh~#QrfVgJ49&vlujh3za9jsel?Kju<U)dOR{ntEe3tG_CMJ)mA
z#Zl>bRhOOk6$yIpnK)PW?{hk~LgI*4P}p$R)Z{2+pQP|tOoqLmpk3?yNO8S`*Wtrc
z<1&-KXcX{WAzxV{I(g*{@%%loK;*>Ms;4bm8{3pg%I_V0l>fJ=3BGu_EG?YJ7@SmJ
zO_Gn6>L4tMOM62KBo4lLDSQqPoF^aJq7jutkBlE-)w>f+J}=zYfW|qUlA)wR>h5~G
zO(kQex4FrkxTuYQIK5hSK3l*#6)mSGO|J*5AQP%_b0n`WW<xj%4IHBh@;y_u<TOv1
zp<8t)Ypr|x^~@A(%%=LqmAE>*)8(^v?_1sc<}w~V@gpPWT=H+T|49hXP&t(F1^M~O
z3iTs5r5Rm&>)QT%5`P4SHd<Qe9o=*!=<W+&Qd;|Qqy;hg1jxkcRblHlLO{jQ?0>wt
zKcze~xw5%w`#6%NV{x6I2o4wAbl^suZA^Ml-J^%O*%AkMb4Ne*3&eGKkw4ca>7J!R
z+*f^2S2b%#jo0<sgy_4}@@SGP*AMfv-`nWm;?CBjBAnt9^-9fzd2VKA0di`dtm&2b
zELf~XOwFxQFwC6m7v+w2V8Uia&~4IKu_C%&5#5RsMYIoP^()zT7i2I4wRkoak&sp4
zee>fD<7&jIsHJRT$gA~H)P?@kb4s6Q<K%`+?%(O$Pi}u;uE@3Rkx$*O1=$NCE>Zo0
z7oG5@z{Up;<2moH%{2XGN(DxlE)TFli4r^ft})iZs58)ZiYzvUR3*9vMrvGk=^Iu|
zEUZkpU|?O>5;Mg-k>MpdEp7~$)>0J6Wt(N%YlIP(qgJvb2!A90N8@f3clhK38@kTi
z{?M*rN<82|AJzN{WixWjB6NC2h0=ZHt&~0b&^O%#^@KYMM$i_f;eg`W%Mb0VG4G60
zPo~nRZs!;dElAMT-IO$!l|^BAI^c;kpSz!C*q#=wv}prCb<UN*<dQm#n%;lK#&!FO
znl5s$bwI~%OO0EGdPwvl;S&R>I+x87?IX#>=YpKWjglYKlojG3y9(`f-zzXq=)X|P
z?QK6(VYVj2<PO@*^#7>3I*?m;1dIh!kUlVn+n|tkOub&;dh<bbOadXRo3;}8uO3S)
zSalmC9uWf+{r9xAQpXNmxH&{vE;A=#V+1|M!Iq9}0OaVaK@;@0NlXLXx7Mm_c(zko
z(T}cm9vcaPJl3E8mCnclA?oPpXvTs8@TX$5fj{LTMVm52OCHyEbe(l{<C8yM$N=>b
zlsPgY2i&LW1M;^{j(?DHOOK^hPfS1nD1abkc8PwwW_?Tg=TUe_&2jtygp@QFBp<R>
zwtG`D{06CILcE63q{^o;CjzySS@EHE?jc!&Ia%~Gir#&Wt+h*gT5W_?QSRf}Mu?n9
z$l{KR6GsqtnE*AtqKYsZ$UB(#G*(01fn7J>VzgQLNjy5REH)QYW$(j1nQ`rB55nt#
z0R1^5rQ0I$nb?AgzQi5@{1Lvm!HDzO4Q?0D3u3uejx?eMZ3boGA(fm7_(CS3y#C#7
z0p!KqZc*0<+f{ZGtz@s_NW0%V^kxm0bg6?l@^+lZ=Fy+LHjG81jU5nL%gqD7@(QJ$
z-~rX6#<=~CUIL45vRA8E@m&)>@C2NT*QT1Pk$}ge7d(eOUcmsxK7F8aIaI<w3shS(
zFD+w$F1fd`DD9LsAT<!gL>&lq+C?zoDlxfyvZZ`JNk-{VCJj0(&dS(MqAak}0bJ<G
z`aaW#nlaMQSB?v+g|MAA+P4;oB6LBP2OJhr96DgK4t`)h{hB>G$u?R5#bXA=B-|=(
zYs@T*`zM>HPVdrY7*TRFapqA;o4y0%A!%iGYv>`QjU<+)uFTVD<mUN)e1YH%Kc9hM
zDTiDc!zpQdB=`MV|MleMRo*FRLxsCTEg#CA_NubJ`1R$M#ZG5A@RevP?fviXlI(Ck
zCt)%H2)ERgV+KVC-gcp-wSio{*c-HViP1S1%$g~7UI3Hlz4!hZMPOhuhyt!nx0MUk
z;iY0n0g#}}Y1J+K_xS&F=%vv1tS?Fb7EtN|R>HLlibgeewZ$KA)B5jy-0)JS>UumD
zSEv<HT_%B#LH_8%5o*i_PxLmQF8GA<x$`BFli-WE@vpAAL8t!mVNi!x5%Ex=o5{k$
zOwh&eH-a4u@%&X{2*l<bx`g-z<4O=Qzm|JpnT~f?R32tbMEzf)Q;thV_7mJQ9iP7l
zX^{=~;&~PL+pHM?V&)!$PNMB?+3dD_Le~b!inNK1(1CYj_qEyYXmDmjA)e4Z$^-oe
zdMSEfu30Qnb5RvR$ybEv!cQGqR8KvANL(bk=C@bK`HvpGP>ou)3L-u*08&Xw@l)2~
zctF<3pMK%0K=qFkbiU~WhimNy<y91oBev-kre$~+NX-x<GFrPMhJua$yao2EjV^V*
zNmZo$Doz`pJG{a6N=BN^^0fnt^!I#RjOZ;L@#F-xl_(p@1O(%JmCf8dQh&ZA$xsw+
zS5q`cwkb-%<WQHiV((Xj4$~6$A(C$&vq_ZOD4o6q+iRRw$f%a#{bEljVADXU8Hs4B
z4`HDT5>3f8d%c^ugYqgZ4^&lG19e@0iZd|Ol-EjONUbr8f7FMtzrZ4%66#mv;0Vp|
zFB5nR^V3%B;Nfa>$HGnICHq<^gv&e6@pbEpsU*vbDf;8!Sz_Cr(URuZSRfW*_?pY0
zV?F<2_^T3xfB!Y7TmPR7LAYm-fLR>wf-PfRGRS_WuEL};8B`Hhme!n!tC8&W;yS$P
z9si$C{2G3KWQ9z`0g#IVnz46uD&q_;)eSUSb!4Lq(=P3lWn5@<J)-KrFYloz3wFW+
z&lNeoR$re>-oFl>ZIoRRdLyTdfLx{gGZALV7Ck*}_nGGd+7O5ue-N>O?8>cO#eYfr
zbIMCDhDi67%GLdG_L#eLs@o0IUbn=<jU}_^S$$Q2UP8+JzDt(AmD&m4S``l&E`;E=
zh$>^p=96t3ib;y6t+H!o^j1ZNqI!x@UI9N?Eb@&o;C_CU_KE^HMy2I%tDYeUI0r^=
zGPT@xqk3MtCiikJsWI3|B=xO~3hlme9gY|C_C-$@e3B_Xmu?=FV^!=>DR{Y@CJp%9
zIcH6l7KmtTCmHINR4WS_URL~19&q47ian8eht}okCjr5<5~NlyEVaSSH*SyMSQICz
zLV7FQLQxFgn73do*4$KuM^vYhoX2{*Dc}CV_Cmxp={Km8AtJ((fp{<lCaegVAlt4U
zI^)wNlqOWx7a3RJO5x$Mik)v7GW5Yip!OlrySJxtAnI$G(NlYZ5aWZXF?B^_<nVup
zO}2*<dhpho+|G#Q(D=vXfdgXl2HRBv+k<Rzuyt}b>WExk!FnQ<w%<4l*I*Tne@`AO
zi@SWUYM%|bH5z6A0#E7MFzJmsExi7&<SLZZ@f*!;D@4KFZ>ZGtYHm;9b}gmWJH&pO
zmeb^)u4V8~gdm;<0X^{Fr%`*2SB82A{Xe?iG9b!uTLTqDTDrSSx*O>R>F$#5k`j;{
zx{>bghM~Jlx@3^<2C4hG&pzkgKleXOtXbdtu6Uw95f0t5r#;|xJl6S8iAA{mTj~$e
zxP08xme{jdV-LOV3@ta<6hvN``iI@scZQV+##HgWKAmjOgPnB3N&}yB5L!!A57OlN
z#KpX5<O9AaO>*+SDq(6In1co*#70baL0T|x<(AEr6y@(f(%oy-*%8L5Pj2rTYz;jI
zPCNNLmm`>an%zJPpLWLxV5S0nuNnMy4V-@%JH`MD*Xu`J?O*ld^Sqi*7`k|zERK?i
zsJ^MF-n5e`@s#<BAAPOA&xqK@en*yI_+wyCdxc9F)BC3>Ha-I{?{)z9kzDo|>;84#
zJD*p?X@$9yp~`Rn>&O4>UQZbRUDP@+RaXC1<^<#o<bg4jz8*neh5AS3X_^aH*s7<4
zAwOR^$vP?(tQ@`>X!1mA9hiKbS&=miD3EZSYcK7badGZ=v?EVwt-zn5mp!zpXqt-^
zC!*kjhKF*IP?hp1H7aA2B(Fo;lOFjde>3qqCa6_0+T@nv+>yDn@9$B!5HI-sfIj0x
zIY_VU)dP}VKF@1#Pg5O}*{|&zx26viIhZ_B%&c^2OLXxe$Y(?y7L1HP<=4JSV~Wva
z1ajbiF6)41?iePcT*3m*;C3?OAp%l4c$M{M<ThYJv=R^g3so<kC9^3g-wm-YJTnMv
z@JG$$VsctM4OC>LyIHd{XqWl)AF`ow2^o+gN{7}$%KtYLha)4CxFiKUmzKr=StS0D
z!#p-$nfx@7?lSnS{tW56FZK!;;p0*)Bc%IsA5Omq_Nq-Biw6$nA}MCNd=w=rc##MZ
zK`a>$b-nqNomY-0yQ(t5`Wt^`*PJ`dELm6_3xpjqoELb?J^wXcxla2_c=8Wf>Yn)3
z{TYd?7M~+-dwOu`N3QMl?};f`m^bv6PPJ`B%*b7EMlJ7axL@!Ypcg`^92(F2&zuC-
z=?T}lTM&Y1sTyIr)F>P{ZvT4NBXvhSbedm3Y}@cfwkeD)D-=5TNd<Xf98T55gKr#V
zQMzHK>qLIUqAFzGK8;WdxcNFPk>~9f{kw#FV95Z9MecVuv}LM*sSSe7w+YREs)_c=
z*>fJuxKMzrjeen~NKWY+Ra#c!*tQo%NUt^#=8g)o!XRtn2wX$OCs5D6$0Xc@?hCiw
zJq8Z|HQhC4Mtxr?3vZV9Dkp?O#CQvN0=f|OJuZnWzQ5SY&IE;AgI40szI>b@6XsM_
z$B%x|RbhxYhjvvgB_DrUxucJWK)f5_4wxsp7{vWrR{&-CO2HUlp+tE?&z0kSnHgg-
zgf1U##*Z#-)CgL{%4+5FCfR6cEOq+B$}SKdsLeC>)t-EFB&6mRiLEL&MYDypsnHu|
zZ{e65qx<d)zJ3Qvzu$!h?--#hK?(juOpq6>WmX3Mju;NN5nfCJ_(g70Kys{37!@ow
zDj8`(gNZO;X^938^ZQyz9WuRC&LL?m|4*2**}TQNAT<!!-RZ%~{QS>$;J>O|fyrdG
z9qmK`E=Od4lFM3H+>F1PLmRChv3KWK?a((aCXuJeP#oOm#s{7sjrBDaqDiI{X9az~
zpfwa$C`B59QDT;mfgz3Ya&i}p$p9ECz#z~)VZgIQZ734r-$eScvAonQw`28tS6qwE
zaOAWkdsJfb0EqWD3V~kaS5xT3%X8DO#nYwHv={~9B_(V>@%lbPgcH&%Hsk7=@iK@-
zZ4dnm)KS{|FFJyp1g<==G*|ewU^I!LFgiSp!iD*W!it)lBp6CrrxH63eQ@LP!OG{!
zTV~Ai5ME(LP$VT)RQg-IMEx=Z6utTopVj_<<s4%;P|D!`u(-BYr@q`f#<ZV3A_o{U
z3;n9{t3&|#$II+VbVMX}UKGM(T1gE#tW?2>RZuJlD~Hsy!(Jv{6F+E?>i1M-lLO^W
z+aD%`aMLgIJ7~-0a*)1jjI#lVvN<>$qEt!c5&uqDap*xJ*$Z7@CNaJLGXuy(DQC9(
zLBw6Lfa7OqthcQ!gHL8-&hI+Zq@oXC1rxt^urvIh<nGVma*$9bB;E1VXzIb<a<fom
z4?cs7xiv1H)cpAo&L5m4>G(Z8Zm7b?Pkhy}hUT>$jH)Xz^%#OtI5-}4xp6V6<{t~;
zKpzMdV1W&}AUX84*~H$*FKqgXPY7^(81o~Fx3fW}uq(3;=1<i<IF&yd5^T&yr|WEJ
zFh+ixH_Wf`ruQi@!ge!6<kV8$)K2~j7>`-a*9^_~fzg^6z+!};vlYdHP8N(pW{XW2
z`mcP3?bHNI0SrK}R1b55cHY+?UCuLV%?ub4Iz7SUtBS~yR`GcsBoh!Jd|m#>%0+0=
zv}^<!A;Du+wbQ}y5vFhf>bAN>fv2A_aI>?baJ|R%Xz)3dn3Gzs7cp37VjuJtgw<Vy
zWb=7NB`>uFL1*cl4l&d-@_LcxD5b^q%aRc7vAM=JGyu%;W7!?BMS^K?UCxxk)<0sB
zRxAAYG#;D3@Ptet1c!E&O7;_9-1COUQjM>0j$VOgNS45p1Ag-(!#GQB&iG*)RlO^+
z*YK5uf!#tw+mxYRLlJr{vw|Q(#u}VYD|Adf?6NGPmDCxzfYW=|QO0_;{*fpYGJ*BM
z&z|>jhaDk*nv~<uc#-tjLnS;=8n{WJ^U!=r?o&b~2y5WAf%w>w=UtzM_DCfTto;?@
z^ZwaBH!`5?GT}j(^bP13|ED1M2Yeghe^k0}&s^3r3IPUmuIi!fZP})*>~c`s7d~aR
zay$A~B7!%7rw#ZkU2M;8fi7tH({{^(bZ=tQ)`9rS<D@$F_>GwTJD+i1^?d$IBpg0*
z)jfzgM$XMF8RyARz#7qz0!`SRDk?Ox11?QoCBXVce!3N4AZ@MhGwSaN;VNF$+-LmT
z*@@?|A-&-Bv9DUy@KXZK%!VC*<R?m@lP7wNk@sI?hz1V-o;!EJarH{U4%_~Dpv(I!
z_}Sfsw}#WOJ8|}>2Q)NQl%(PbnTlP>hY*-%`8Isx_`YqoeZE4+=MO{+ED17uUd2Co
zIh?X!Ttr-?U$N3RSo$<w;hV4Kvc4x}7yLIKYGk$4GNz!`WN+>aE|I@Pz8gbbKjx&9
zTJqh{gZ)cfy-U)SN&u3oE%M98^PHbP#%)2|jB42bXAHcY2|w{g$hX21Pe^>H6lr!T
z9>!VIa6I`<A0=U#@aNCo-+wsS`NYxpiblpT9H&qWb~Ld)I*>6@(1~hpuJU?`*w^DA
zc<Fh4H=Uc-h4?dP8`;+2dE9;|jG>w(xXaFBG?afR7OUut%E21EKxvJwD?&4FA#tu&
z!mv*{{oCz35B|qFb1khoh!EzR!FDHy-<0~{Z(PtZE(4DOJL8*M+eb56f}x_UIsvY-
z0!qKSqttF|@_!)iLJFbIBhhDXX~n+30s^QwFx_v;aeS`^h1CJ!zoMt(&OGOXC_>tP
zectrwBgu<(hA;Ecic8;Hj*-NFR|7*AA*j;yE$+W@oce6+eR2qEMlMkaR&oMNfD{xI
z@Kl?dny?oZ7EpC9(MJHZQLE=U2>^8aD9ebhZ);;S1DJ$dUAeUCSHlgD1jS9M787x>
zvKq?(V!R*#C+DglDfvM#+xI(SnRxjA=B6P4(oWwo*Q3G^Ra3(R>_*U#VN<DUNXzuK
z{ud_)APo)B&_1v^LL(lHsd<?)ne6)w4bIAfN9Za2V`va`Dmk|V@dP}E@=VlsO+{x7
zj|R6kvuLBGWl#Ve$c{j~d^K4r8G<)Uh7j`dC<DRJDNM^7ug7=!Y-zOUo{ZsozXw8k
z6n8OB8u?_t^M{QGhIbHgsl$U}oeBLSJwxsx61Np;axrH7Tp^ddq=J$Hhem?oj1at^
zr#pADQPaqTNJu&3(>(ak@M<Rd@=bNx1^`}5^F0)yU!#35d+XYm@jYBTNRfQQ72TCj
zL}TEFBBde)rlMh*e7MIW*Rzg88`0;vXra__{J+Aw%R}&XM;+MY#)Glq;VS~3XTMXs
zpNq(?JkK}n!y%>#+VBw9{i*G$mQ8kvYPxXD8>00NPZq;~7xzqFXJ~hKchq*ZG2EaB
z$ROz9wk9BYt;JCsYrrKcuFDa839AHf3P+4om}nDa0V`QjQr`=x&44#QaaPcIVd+n!
zZ-><2=d1C5HqZ<pQnE^<|2t)dD1W=}Gtu6mMkUUe&5-(g>N!%51|Kjkxngo05avkm
zo5c?hZaLWZ?tT7Df;~d{UL`XpU!?9qOIj9j82=aZD6z<KEZflr(NX&4>Q|y}GI7E5
zJt4;71&39Q=gAaSpsrfQnMjAj$k?fD#14TEuU>}jP%*ZAeC-N;`{Nn(@KFoy=*ytB
z<D<!)HDW)q%@S^BY}cWZ@5;TfDqt_YXzCl|7?s^0vh8Wj1Ifc4R7vRXsI4$(F|_mT
zXWX~HxMJ8dozosl7fxe1!8S0&fQnIOQ}tW~{A9bb#!8rl;e`fh)v3ZPa+38)Tn6=H
zQF>D%ryY}D9?`8V=G*?a`67e2vq|73h=$A+$+vo6)9?!j%>Hu~(|L5J<#7m+#p+FE
zF&Y9;0x?d!Q6i6tB7t$EV$4X7PqWgb<Pr`3fFh0v@~)Q(ZNT&8u$0MjKj|yl)BU+L
zU}#x(-7qc8v4{yE%J=ZdlSG~`#KqM~g}(iYn-W8lCwzK(niQrtI-xD}dnD}b(>$vG
z-_HcNGm%0+lJ+wDYb~Yx_(F1%7vR=MCv>`=QpCe{PABt`ZB~s;Dgc5GNYF5SJobF}
z>pquKIvPdw>O6t@iM)llX7NL9_dxKQr6WQYQTm|Kd_ikX0Bp|3DN`z?BDU!hvU_>M
zx}4GrK9$|ct#6+s8y-7edi?|=ctJ|8yuPKVr(zK$fQiMEQ{fTTw}Jp%+%RDt#GQ40
z6fM|k7s40g2GOX2P`r~f8V6*ff$aL=Wj*KcfrhnZ-9{~vkhSapy-O8NH#fn^uxh68
zcf%IKmzPqdSX1S=aappevW!~UVNZWL6h};+mKB%l^Vu!g#TABiNRVIt*P0=`r<f{&
zDM;fvFof*v;DD7I&GeXT5jFp=$zi<`oX?%&n}6eX+O%|WR8eEPRBaGSmxB5FI2{nv
z;du^uxZDYqNU_gHPO*2%Ed9QlCggL6SAj^L5b$?Chal+jaX*Jg6FXnM%V`@L5XB~6
zo66)f8`(`r!1(9L&Jp=X%h3A+AY+2MN_+eNA~msqWl_)HkEaC*59xclH#176nVV5+
zHzdv1+x200m`Y(AbfDmDWT^xB=d(eSN5$wD01Nd55ZaN*$*>fX<GM0ql6++GzLny5
z<Od$}d=+7nT8l_e=d_f;>EO-%q2LhR>YP6pwpcq1)2vsjztP-=j;4p$G1*Jzj?SS0
zcRZ`R7^7;$H-t&KZY6D>i@qfNGn!hGCRH>F2kYF^FR})9tc>mz%2!FGhRI=~*c2EF
z25%+D+Cv)otldRPb&mU*+VW-=?Qvk}6zYB6BkQ){ww>wSP-h1&tKelXhnGJHrO5VY
zXAG=+k*3O03G8nFi2Hw`3W3t-%SnLwo&>o~NF4T@7Q89B8-R3{Gfk%&jZT8eB*e$>
z1*FBE{Y6j!TY0ShdZQES)wQ+DvyO99JG%)Ymh65p&T+PSMc+v3ST96*3=vcMozDBs
z{$Iba06UkcCg9B=(Y_BCCJjboaomxAwNK~=mb6!C#{qwmZ;4hjzeFN?=HRiqvB}!1
z!bIdr%Y6O=<IyI87H&Z*xjz@{8JD?u-hF22ZjD?&z`AQnD)@N>(Psb9&JDTip?iHY
z@(Vh!gMRzng!#3aF)x<RNOWIVKD7x<(BfGgQoXkJ6oo4+AYM0d&DbH%{M_$H{V?AQ
z&m2pAF+WB3>aK;QHjCxIN+|vvafc!2eZVqaUrwXMSG{eXu0d57a*cu=JCjNt(_^uF
z3RJGaImZ*eSKN%qyD=+ky+jiZdtMbE*x)*0-_2_hds!N5j)cMePS=A>evs=6>D5m$
zfp>dPjr;Z|ECQB68+<ZoaO>oml>r~1v|10`6cq)<q@~eW+Zo`Uw3nZ6W|<w0FWLpv
zYfDTD27lmZieZdXp$ZZw%WMgRnOnSH_sPkbHWM8Y<nLl+1pq()+UHO*;|)){8^1f?
zp{k-iz<@a$iKh&u!wJ|1V6w<4DE|F66oc^n^~y=Z`J6a4rs;aw!TC4X6$mOQ^1_#V
zI4)Z7#^ioQc6?Gn>pH{md`!bKhIQ#^rhEWfgS}7?;VZ3$42G%h71D~JkdXb==xdWq
zP;|(&Zc>c}u#AlU&XtWc+}vc}xt4!R4_y)Roh#JB!B4AFb47P*3_Z@@Nr0HQu>v+A
zRjyk+T7xQRr<4JK^5ou_KYpNur{m(O;@+vj6R%s)C+o$spEPGre7l(7<xn4{jjOoI
z*|5=PxRPMZA-l!ZIZAR}>=lY-;X@hwZg2#Hh=UT9b9Uk7U_9@)A=QUTePql_M&{Y<
zd}>H9iBdl6Vq+crh<5Xk>!oj93jUl&*P9SZjaR&&jJ*YVtAWG7Jcs34;Fwt}hd;3=
zO*LhrBKhQRQyyuS-{Y^SX!6Qx_Gb{TF;G{T14H6{0fV-c|9SXWYs?+a^@1Rs5iV9>
z82s|@a);2<gN&$-k#|u%B9b1Jq};KjcTRl6T*P#i`IcjDhEfz+V#OuzV^%eJW$^?m
zJSIPZNK;DX0rJb|o_5^2J-xiiRVhhhdYH;5RQ&nHE7iv(o2`GpV<NVr5duH$I|L}k
zsP?$#!HIUd2<qj`6HNCSw1E&=-{26Z6spHRUgW_RIx*NTS~9=;sE8?V$LkW5k8l%o
z68<EghR7aaC+Mt_72fJnTem#0$Um8TQ^HN_W)-A#T%*O+G3LnQuPt6piHlBqb&!!Q
zSsZuB4K?^qkMxf~&Z|#dy7YDhy&?iLY|3}4nledX>yqzEyid!J<prU1RqDF=+u<(F
zbd?_-Hkkc~^65O-zNVjS9m)>1=vP#=88(o{z}xz^%8q50J8i2|Z|P=C{$^r`+_)q1
z=Su2-S;2BxSA=YBWcSY=y?eFugb`WB7OUEl6*?jk{6)&^4MuLtjA;q`U45CLpHpSq
zsNcOSyrpZTwBTKJ?yGc{;Vb+T+Wzt5$+VxvbZxgXp}R8$rZhvUIV&3>KW$BZV)kGH
zyE;+8%*#G7_KDd)-ij0ZvRBn}7|Qe2N<|cU#-Wm#$alt~U{}&`gfUnGE)vSA<TV~C
zHdgp=M{IxZISU~Bs(<w!W5BmZXTx*|ohB@fuswSHgqM9uq;Gxc4Y7J?X`AoPPid<_
zL-Nxe?`9fbjo>0%lbZB=3cq6;ZameJT_^5}szFJ#fhmfT+W%?+KtpXmR&K@1o9oRR
zWc;K`;YiJ3{G>C!xW3Aa3lHkS?rZVte#bOWw|*ik+!j7!jy@!IfkR4pT))9DB^X=O
zQ21;bq`gWG^ZgHQkaltMy0-5AWouhzSZO-7Om?I4R9@?bYK>jP9#V4KuP(^*r%^p$
zyY0WGyNu197t0IUhM;en9TO!?j(Iz{t9OlF)spFA`J-MWBqXn)M=sR2Og!hNk2q^x
z7!#TW$Q515Nw=+F<&G_z#0k(igCWa=T5F9{TP?V6clQtd#9Qm`0`qivP3?L}ibY10
zt?c{v@8u0sarrmPt*Ed2To7X$n)R;x{OZBWcMxCssv0SL`Q+|7zrj;BEX23)rP^SL
zy2Py#?rQC=0=|0ZTVKs*7x@n~4?`;K$x@vB!6I+Ji9&~HFI%$LKn50~30}x#)8Mwp
zbKRiSH>j>T*r|OMhY~x(uWK%msXJ8ITeyt-%Md|L!b<N;fBdz2WyX#_AFE1akrwJ^
zn)~?8y9-PBv?^jC-p)dr#F|}wFN5RWPf%S#J<c=|H6Syl!QbI<_SUPp78g8Xt`9CY
zD5TN*PGPS!Sq09|-VC67pAu)XKRqVx$eD~y1rcU!Q#%lRL+QPAQ~4$a&%tqPdFM6m
zoxi60b<1~yQzk`^NaJ-e$!%QKVWFWDo#9P2tZyzURXaptf2M4|8=&AO+yqtStOZvx
zf%t}r%5C*#Fu|aV*=s!6I}<^^A9kSwmjg_N2js`i^CZ)ULm`1IwVxVs6<>wuuGRB@
z8T6J#Qm^S)W}5vdBzwP?&Zau^+4cm-PS<VL=GqjWq$QwkC)@n#+hWs~r|ibpWTF=B
z&B11tUsG^vf4+@eQg2D~S>f0FY<{l3OS`1T;i}vAX`4>T*K*!+=jHDXvW@eW4vhof
z2ty(`W4)o$SN%r#=o;lzU#2dlw-7aZx00R>=$En}>g$V;TgY=o-D{zH<xOkyp3%{I
z3WIH(-{2Z(3F%nR#>hli$IxMOc-LqB74j{$;g!llcgd~}%^*Cd?#M5pzRGOLwu``C
zKbjp!V5?}%f6gz&9XnM8Y?$WBm9o_S9I{I1E~h)?*>I7;j_}rkZatqkpb0kycJeMV
z*2$`$+rb%QA@0bWGB{W++0YCRPHLL*)>*536mw^8s^NW;yTT#WYwgnJ1KG0(dH}DO
zpS{3*Z9T4c@DS20#FSm3QS2L2SP8izY3Wjb0>v6I{!jXA^C8(AMYC7BXsIslTnV50
zS17WxFjshWvMO(P_3iduA*QA#max9<q-b>rR&@2bAf;LaT>cds)?SOeX7R8yc^yo_
z6<Az#m;}Wd+4(qk6)kENL=}x09d?DRQu^v~Cra8VfyJ+7&sG2mpWvV2h~{stf`&hW
zp`OqF`mLXl_69^=E7BwgI1<^3`uI^}52A?U0AS$+t{fJ}qK1&wwwdPLlqb$%oJEsl
zv&kwyq>VSM{kkh=&#swEB>PXyj(pycvGn>aF)Z0ENz%<akBIjHt~w+XaaP+&afH70
zpA<!LQIfuuk~HPne?$3LpySJ)J?JDjY;1-9{EaivNWj&rVIsyMVc^t60J~7>*B1ju
zSMr>Boi6)+_I>FM_O+|YMf+wZkV!j`?5o{#&!A*A@Qdtt@(%m;68>SgI=3vU4V+C-
z^c7P45*i^GMMU@0U4igw`0O9D{6pDqcyCa{lBA)Qe^~|Rr+<604b(g4ZF;_Y>YL6R
z(~EV%7!boq^#YhPDS7M4<ASjLiDceHc$QJ&s8@1pudUCqYerEU^OZGL21rfUvd2cF
z&Y)cbyC<<z-&&^r7VX`8>sq4fIo)NV=LnW9MJ!|Z{)|0FMfAkjJB+R?hGj?JaQ*3z
zg+30H;vGdd1Muu0r+YM2-%GPX`-F32-*9D*kEKD@{E_AcR72b)$65-#UPPZXowsF=
zwGW*?O?LmHXVzFWeTr<st-)Pv`PJ3uTMu3b$By5(z6{<nTfJD1>mNN7-7%HeAIDp9
zt+o<aFnUzWC%+UvAs#a@7XWE=Zo^pP{s?NibiQSF%jwkCv2F4LQX47Di>)>vf{g?Z
z<wlNOQ^biQ06$6_1y)$R5*wBw&gXBgq#N+mPT7rE5W8|*q1g@p=|ygFCAMETXP@tt
z@XjA-Yl>e|pv!BCtXm|(Ox!({f-d^oE+%|HW$~1{YDMfgNnKM2;jSt~uBfC<XVIKC
zT}xFPo+r}N?@FRB!^`=1PP6>V4ryl67;?F*(oEOnW5@kar`;|yBlD<_6J!5rOVz&N
zO8dGG46;uY9Q0yIYN@RpOhJnMq;JUh=F(DASUJ4Qv~JXD*JP1rzt{yFx0?|6QAhiR
zy^yuY@lX0J6Gp8svZ*=6;G!6&buBRC7R!}^34OS&t?lF*&0;I_1k1igt6?j6&eiZl
z+qPqZx@xhN#V$ufdb>GV-|$2~)h3ayXp9#aX%*yykx{O>(OHE#hdu-9m?){aRYmx>
z8jab%D-LuXFDKQbN>*AYM3A;M!Bt*<dHGe>$$sP3%FgMaDqM$_lp<ewQGG*0hZC^*
zmP>+$lnHP~%90%GM_y~+>O3Kh>z&nWglfb#8ERXabcT$B7V5M~@b%a~@OEk=oRm#N
zI6EWHCFffux*=O`(rny`L#ZkPo6%EwOvZpV*oTYZWRsJsyc)XL3=YJ*=i8tP=&ARs
zmUZ70yA&UWZ5%JxZOWTAbOY9X|J@Z0z+FKXzPs7Y+AO>6MJMP`W<f7M*Ec*SGeS!q
z8GMm$ye4*ZB_!QY5YUd4bMp*K>fRkP8&N^^gOJQez!dkZmP^(aeq**c;wd(*Q~Raj
zN%?XJy9k`-tCO0P2YNzlt>R+aIMiZ27f;B<o6cWfMAzym7iYrArBuD~c_LbOEYqe;
zel69UKL({S$tiWlgx>ZeM$VP|C%zmsk=us|KM3v%3d`^#zLQ4qbq#tx?K>&*ZMSnp
zwCSDqF1Qe7Q#R&(UH#xwn1CvCjjE1YUea1Mcs$-~S0;#*-14hA<W6UorD=LhjW_i<
z0dd-=j6L!myBe1ncaeM?boy!25NxPDrTT<;&7`p<cg>`3b=eGDE&Ra8%jjm^IyflB
zUjtf28mT1roR>liT+$Yt<B(Gp#(=t0&FtaRRNvTfv(uJ6&6V+V7WWC4JEml-yk>cS
z*^nI329xAh?bEuwaVC#{fi{@plO=g1rU!>V$0V_JqFay04X}TPsqJg~kQUb>_6|vh
zu^G*jQY8&Wzs@@Dw@ZTZSo|o3f5<wMu#}7uf(>n9B@yN8K+00xFY*D`ZQGA7YV=w3
zFm=f_wI3^*7~RLrw`+BGfi-B46os*0vxS{r&UCb0>|zzXAQSYJpSeNFuE3bC|EkOF
zLz8q*KhHpH%VLJG>(%BC53U0_8*hwJfM4PfBi!qh{Iqd^K}cPt_S2%>6u}=|CZ765
zE+5xs7uV)UmXLyMo0~Y$9fk$p39#>^s-kvKF2Vy(gvQiSohe&f^crKR9ny6XDdkrU
zfZkgea>9{Dht=^-I~_O6RnI5<`P*rDPXVsj-ygY$|JotH=I!TPw}ooLdxu)aO$u-Y
z21-E!Lo8-)mT9j?hHeV_Y&I6;$)2fa(&Dm6q;xZ;u}~L3`|JyINipVP)pI`yzyyZ9
zoX2SqJUI0#Ara}-Vw}Ba={KB3zHb2L*vVVuuIEI14~xkBEVC{_OP(w{S0^GLe=O3V
zJ)s=F6Po0b`g|rzRkhFM6Rj)@z!;FB7tcqcgUo>6=E_VWT!-9|8oT~TYyvU;Q(=vu
z3dUk*aq*rg8Q%&GpzMGpFDEw<BJmwHtbY%WUMt4h&dxVC96fmguym22R@2n9q(Shf
zwE%|U#!gN%bl-L%RLWMv!^4Uhg%e-s%>DJNB}))d02o@mtx8x50NSL5X3wV9F<aAJ
zWOFc{716^A>~m(?(pro@!4b+LUa&h9$XN?XwEyVqr`PD``Y`#Z$Gfx=TSIGh(cyi3
zvkuj$nTmgm(Dq}}RbBv=_LyXXU|(QwK<iSX-vO@DI<jlvJ%B3TIcTW{b_}HA=YX^;
zNfbWi>AXACvsM-Qb1h#KhVbCX7mX7$GRbW}&MFk>!Fw{*av+m@;=z(X+-a0L=Ht4=
zo-M6)*ocmYdlXQ=6`%E<BSY>6KET!`w$k&h6Lfx${q`DEc)<o<e()3i>ePRZ$hy3d
z0q{=oK}c=m7!^n@50i3`RuyPI)Ip_3TZ0N$WE<LZPQa{h^3RGVM$BhCw`M6zH?(xw
zRi*Xkpzbz~k>W(E#OWRqy2&-IFUEtSE!SNa9%E!HLHpJlAnj`=FT_=I$=~QeD~kfO
zvhGju$j6QKWwNGFQt<k~IH~N@m?623MF%62*Hxj>otC;f9>x7)m0qjYWxmcPFcCl7
z=m`6yRgITi1CE@TnK8DbgfZfiqVZ;W07kc=Xu@s>XuvGV>G8@!{1s7@@lRdc_@Zs{
z#>Pgg({>Pfu_QUo@Md?w7F~FeFTJau1H+Pa(pRp?9s-Km87tr}vR#H@(*1|g350{!
zULw6D5pF7pABf!W@<l9T=NF6#xLjjlLkI1UcD@pMEG5O4u6ZkDh0MO6aodhSzi{>K
z6vNPd4h?z!$O_q@((>Pu2B^Z~$!jr$$WHfK=06Nj2<2p$k@%in?B5kpMTInsCi*L{
z!w5N{!z?;xvM8<a+bOAkIEub^k~e2j`jsu}cq2S@_eK&i!T5fi`oh}?T4>hxp>b`{
z*pr0!1jTpb4gD@v1Qfh5Jb@SCCFflDw@`&nL~!G=_u46#`IHj|?_$dJ57+XzO+5Ij
zE1ezLA@vL#**1X8{zB|@&i4V}=$MHBT|oF*<7MvtzsW0M<ahTilS!U(wiwd4hhg7T
zn5{jkP~40oA?~{G2dAf!($Zn%_B93_mRQ}uJoZoBNviA#nS><cn&b;0VJAidYQKMe
zygoQOVmB-Sr0>OSZI9nWYb6=DM4?S#V5`Ms0scT#*Bc$4AK9MQU8hX|iKx&h92ecO
zWSLFXFtjBxF?nKB(Yk;)|4c#eIl3h3a~qFpZPReApP3a2GlaL!v)`5wp&s=|@o=fT
z1aD>w;qBaE{*V{@mW<qgkFxd7Ewi>IC%cIN!5B*Ne#huuDvf-~Z#Xz29rUtWJo)tT
zLLmJ~>-x$6Q!drLAp2;B+7)+dF|G9HY_@QQ<!SnZdP*_ENP?W;t^s6STqpA3Fl@D(
zPbBGz^ZpcJwwMU(SxN<&FwRW(9kN8{;9)G~n0r;}F)lrSqY*A2j?Nd8mKE<#=YHuB
zr)9Oi-=4Sdt>RyiTXNgXNr!tKBm|p~9RP85B56*(2t6~avd<(Ef<p4pkIb;e9r5Px
zrrfwCL6M9LL;i*>H$K*7m$g}UqmG(wOE^ywk4%qbqvsm1rLIYfJ!eS0XT`4kqzdN4
zPw~V@q7ISSX$@*4)R?uG!b3`gh#6`%kEj>(As;0_^Ah2&0eI={Y#Kn^gN*D90isF9
z4C}ICc-}}aYYH+>X5moz@OIbIJ?Q9vO(>oad8Fl^w%+R8A2)opBZ1YG!t|qZtIZY8
z$nO>#aE$-~i>HitST)_R{J@m=;bYuxK1B}*L;Gsn?RrnK0K*@c$UEH}sF;b8i@e)~
zP~MJwkWCs$_%|$$jwKcd)iUx+hH^Yo=vsK~1;EDN0yrDHZY2Pm;H`w-u`Vir0y9KS
zT53ii-;^k#kA$?>!}kfJBBU|WSnhyH^Q13dL^)x=r7SFLPbUHg8vy{0+4E%dJ;JAu
zGNMg+R7mPkFt7ep80Pw;1_g+1Rb@TKiWN;U&x$743kN<y8z)~I9OWtrfuW9Jl1LTV
zs-&uOhfSdmc|ZZk6S6owc=8d!8pE|U5cnDm2QLFdUScJ4R*-~8<c=jWfV(~TdDJ7_
zDbm|HD!@1u%5Fp*bXMyvFprpKmCfx09t}pKRBmBdd`yuBxPQxT&2H_)D6r+Oi;ca8
zsv+wm27jbPiZ&EK0HoBo!%owrK`|<%JOx)Xe^FJVVl#{J*yt+Xe-Q26&G}}Qkbm%i
z4Apuo^vbKkhR)6nn9QfemM)9zBR%E25JsHAJTFuv=TEY}5wS#krr9(R?Al#uA%3_S
z5qo=<4c)aIg(Tz=A%Zy6SLqy9$WTlY4W;h8cy$@ISjP1RCsc;syVxh2ool5rAu}oL
z=01LYon<w(C<dDUt8<SPSQP<?11bPs=XD#mVA9&zwZyJETz*y_-q0Lh7lejU&ezRP
z)20D_3xaL+T+<qQozCzRs2ua};NT2|abiD)$#q^hO?0ZB4p&7`36uOB^m)%g6`A-@
z3x`+S_mH@Ww<=3RT6VDwzaL^@zm9J`X&cz{ev(&U#o9-mYYEL^2%rZ2c3P07Dkb4Y
zH2sEWMDmESB;7qU<Hn-jOvdkwdpJ?!<ak1}I);*8WLHy{%Nlq!hJvTO)AY3?r7ayj
zt=lH<p($+Kn&pznZWC?JU`ulERkHBhK+MAquk1Jnk6j1eLhG1K1IuxbdEtNP92Z#d
zc5(peoRr*4Pgi%s+}>whf5agD2e|1uDwSUf-uRNx|8B)fk=x`H*Jr~(#sY8*01`W*
z$X6D}*<SPiE2L%j2}a`Z@V?b4zbTL;SEqpWbuvV+bx|lh+Y6(p_xZTP$7Z|?vZg*|
zuvSj$F*Z5^5P>x@;Ksq0-vYY^J19t!yon#;%r9YrH(nf^V9(cM^V`P4x~FqJoWJ4m
zgq70lI+HUb0Q24YBwlVOhc%IW)@BY?1HaN0g~bS|M9flTO+rwlfSFcY{(?lz(e!q@
zVZv~?XhaK&6~SBhBBm(DpprN<PwGitQ%D%~RJyUJsk2ED992`3=sp0a^vQ+Eewpsy
z@P#icr+J-mH$7WSrHTxT1K+WIWOyV_lj~WjCFO3x^@z<;X8ILms)qtAL=WH;m*as5
zc0?>3AdtH;eYlVt(;H<=@T7j!nu~#e0oyJ>KF^UBZ~`zDxGl~GkpXJ@Yqmu2qcr9j
ziCa%iMdX0^zxvVaH&dFJfn}`CV-icSS8h@J`UCE`(1?eU4NqNj=cj@aFPMlTiL9-N
z{W6AE2XXjYeG=u}8TkOns5xv)v6@#0ZK$mo!c04!dt)A2tXTyS$g6pA=?=Ns@-Sn=
z!IVuMm(nrhBstep+C~ZD#3d_IojPBfA80r<YmW6&N0^rKz%qaD6ae9#LiG>w!6cU1
zO*kkCyZq`KH@rmPe%a4|Q`c|$Qk&kw0(>Ctg2ApKFYKi~+22$z?b0<AJkF$T2b`)c
z-Jk!SeV7<5KvP{I8S7rK&CYeWKJOkRn?F5{{SH8(MfP-e{{D-=ad5-p{~^=<?P@S7
z$^QJDp(IJgoNoR_KK}cMl7sKlGt>GRVQ)=WJ1kIFb~|6aL*dp?TPbl{#|*B56At<=
zIUcfsGNP^wt)0{-MzB?SxpU<O%|oNs%11D4ud5P8!;TkKbfFNEnmy=ng3_V*Dvh|1
zY#;j_28`rQ0Z$$Ti2VyHp<1fW?}69kQ1Z-9*w3T|;zljwvc_}Gp4tEA-?OFT1rLi>
zVE!eH9SW@l9YI_Ik}pO6u?+;?L0#WU=BEW7=`%@}(RlQ(c)=WQ>LGuX9#81f8$os>
z<KeKJcmkBti8MMM+~m9OJ$epi)BwfqK>L`U;^vIyz2)P>|H}OTivW(;Xa84KV~dgB
z`}f@G76^<qYiDtEuU3u$N*xFSz9c*z8Yve|_D?wc0`^CilDTmn+g~`8Km8PE=KMf8
z(kS6%%^BDY<_RI<KpB|x3gC^|x|?>%<-agGN8C~N47()49)UPAQqJ|Z752GI!oD<o
zM6d1JfC5^a$w9fHneC%}ykBQrzMD@16U8NE!pif)(?dNTM!)x#y?K8Zb4lWmy1nRe
zN-NEsKcMpY;VQ;&5b>ba*rE^y$W5UZhS}`c!|%ih6oqNQ`II7`-QjLq2SBY{`cpA?
z!mUZ73V|G1b2o^oF7(VqxB33UW@0}ZQmNP__IUWp<o(yN#Q2!J*8Y^H*-(pd!?Y<w
zn}Bqqqv@Y{MAb&X>R(3+AaAw?%scGR^OE8iQFN8nrGiQeZzU3h2Qe>U>}K)KqLfUz
z<0)kIBd=<=Aj-|-hZ)zve@7oH<vExmN2(eKh7E@1|BQq%)FfsPxWa!sSyncJFf!52
z)gjXy3OT#7M^sQcBTriXc3)N5broi3wh$C4{K0*;&fUIO1>`-agV@I2TSR@U(^W?>
z-L*!3{D7nUsK21vt>9g<kg^^zkCdg)th4~)ABHl{DHBHFsE!?;84hpKQ9GiY2=s4+
z_XPu5hUU_BZnkdcLu9q49T9z&SNvu>_rz4S#8uRQE~)kI6|hXHr)-JK_&KnCgEuF{
zQ^wwfN@ZI6)Grm1`PTfaLY_Rc9sKPdW97)CjM|?0-_hcF8`doKKREmUh=~MJqsQfd
z#VQ}IS;%`&=8*AHXjGoZm$~$hiF!C+BFAM(0(e?beU2HT+r37i-AgDge!z!E8iYeA
z8&e+o)!``-U{$Efu2D|u{AUUKu{t9Igm8vy+D^aNzYAcA5BXtGO`~%1rx_z*OpM!h
zH60!(;7KyQ#9Q(0ci{lNLaDNrAP=k#wyd9@Lj%Vwt<^47rdckm-vWllKL)^|JL1P?
zh(~P>0bEbthu=JlILsIm`35+;y7M05WN*BqDx2@_dpW40A7{u_%}!_mwH}$AC;7ta
zZ@>9&{3dqUrTpyfLs|&o{|g<o^8q}Pz>@9S$pd<Y1&!&-KLFrn4m`KeS4>I(;i|aK
zSMiHe9P65=VOjoHs<aG-)rJ2OSrB6YbM`<$+gcc6Nk2>j(v#5ISOM@76`bLkd3c~L
z?0l{8EkA0K#<}3-ac6o4NKFAfumwj<7(#$;KYn;y@wwh_tri%+Ht(89eS#&!j7Wah
zT0=n}fnmXv!lb9UqET(L#E!|uwSm6D!M66s`uF`_$zgapDGfgjO*w6O$=Gg!Ml-ce
zv-xR4Tev`LAlV)9h@a8kdWK9wz62snojLRttq>K)W6G28{hs`u_kI@34xPi5BM;=m
z0FuQX!P>S-pa9nbRW8?8^+X3#TmA^rb$laim(&lRhol?pS~v3UN}M?VGG==41Y!Nq
zV0La!>y`M+0NSuf_ZAv@hM;F=e<MxZpPC!Yp6#p0i0y7S;HvIY<m@7haDHn?b?5|N
z(ZP_6%lcYLdxiv5%p*~@C!%9*1$OR#?_$-M#QCDQt0K#k`&0gy$cz%p0!nZ{i)n;K
z%ou<MCwehik2MoSeCLfIEaNF;68j7f4@FJ}^W!_3HaQgaj5RIohqnFu`|W_q-Am;h
zgMkt)X_Hv$%ZmA6{uGE6E$a4X)NaPDmzd5zp%GIt<6W2|(;D5K6%X9?%E||EOLQaM
zv2AFiH3L(V4lFZToCfMl3&BBu#4(4Mjgq#?VF%IglK2);)tUE;y7e9|^-k|vPe`03
zdd}f5At`|p{t^3Z@1OKyxA*!`om~$xcIb-Z83x$0((;W3WlNk1kjivU9E76IK9jDm
zOQoj|sW_qzr?k6yc>Znw$~bpnz^`~kh_s-?S1}5hs+scRi<*ePLY^4E@<jFB&X?j`
zyWz+7EjHmcFQOPMPl-9}FiTt8U5Wn-!Avd8fb4p$!SzCDMB+n*;GdO63Nj@~)k2O7
zXOwfLdal0p5mL+6`MyEAYL7)l3=(y@Mj4im0m{i?B$*K%WXLoD1BsQtA>4Dwa(4fo
zwR;&(BvnOcXi_*LvDMk9_6+uJ`Ovha;Nh?o?nyVZw02a@4I`G-Xi=%gDqieTu{{!$
z%zzOkFMGw6Sch%c9+~_}$Kd%(1k~DL`;dn#hKL>3QfDWWG@6OBdItzj_s&H5fmN_L
z7R3w~T%5Dd!6j2pB*K=N^8}xx^x93AWT!ngY0I|az=p4gZjKI)^uVi_9{8(nS_c;6
zo92_Ib<q{Ef%4`PXzR)p6c!F_a>m%&Ldm9j=pLix4mz#nU2p$xz*UktAYVFQsnYro
zOSjqe?gDIf+jJ;sR{f=;{oAy5Yry!GK78d5AeXenWK*oApfgUXaN=8KrJ}<J6z5dt
zCN$8|;=MGM&5K}Z$S9oOdrp1hRQxpfeKg<rB_4<W5X>vW75k_TYd>)f7VIn?+<Cpj
zY4kGq3+esFX;#ooPjM*~?|<|1i<<YgG;*y>S|ntPn9=e+SP9iIqIG+lw^JeBi(bV%
z)EQs=QgCWwUpuo>0gi4*P0$U&W$<tFQQvhzOL5yGTKt1UKv{gjo0?g8e)i9Wa3?$^
z;!m@rt6?wp!!x+c!AeG?NWUcyXr@eoJtilJW~y+A4Tp57DFg{m*I43%q<L(A*t?BU
zn-1*us2UdizL0bg$ny>EgYg5;UpB3&nO>q_VmBL$BaX51#(ol}?g`q$@^mISgGW(Q
z8xs`%2+aq=h`reAa~A3e^y>5SSdpOGc3-R{O8)5w=UCZATxbf6alGYn7zwJ)a-oi)
zVQPv?g7?XjTv$-(5rpLeg>1H;KTANkzAsB;%orsupsuoPpd{iCKG#odHH2W`&|{%0
zPF<&*Acvp|1d)_5+myh7Ewd!39I~_3ple)U;S}Dh?4h2c@Y!@<x8+D4r)f{r=?pA{
z5YYg(Kw}!42r3p)&Kez2$+_zjX16Ne<Rl=;v#OFuNpWisM9QP%MWvna5~M1u$oH0T
z!%7H;ra`V4{dME5^$*-1{vb{kTKFx6xS++-hF%^%bnps2LUBYZZ^zDe4}Ccy8a6^;
z&VVC#STiyE5r|WwwaBb<)C;pHP4#;8%IINv?i0kStKKNV(hyEux;M{X&<f@av$2er
z=J*w(!=LD>r?IkxlTns6VziMUhzb3Pl8oYVjCWLZQW^-z-f@GXbzS&CMv#F=yXe2@
zk<HX+eEjz}p?MBz#Pp+D8*)|owE9@VsO-VZ4%!z_b$n@H+LpA5-_d!pjRJ}%@L|8r
zZhmO2aAi1Q#J76$R|)qeX;;!v<4JFDXBul>jvE-deX~pZr0L9|Xyx1$1!A<h&yh}O
zm6=V`W#d0!K;e&C9lL+7biB_N;d-f|z^DNu9k=yyS7g;;LjBkvUM3U{G9#X@n=!}`
zZb`>_=N%E4pNs3fM_{DK3!0|cG$EQMt7b9mX*--|O(rrEl!QX5Ams+ZU8mC*(lP7N
zqqMXY@UOLY)g-qlrGRsKq{0W9{H_Xn-<XP#7Qetr8VeNAn$k@N^yYgY2rK0~Z4)OA
z!5%U)+iKM<5SI=rmwx2D9GrhjAHTk(1;X-|BSpv#1;{F%FrWET4GBo`F}w8zB^vOA
zpc{|oD~bY9Ej}o|wf=LJsy}a;D|9eejdm?SPrzb+6+Ssw8>c{NWG-3~M`{m+>Iin|
zlKuB1aBxi>nN1FXFi{M9zMMhA$3ulCnElxxVz^mDgQg#xhm@mA4uY((2EEv0%iPcr
z_(fmzH-TvS2~0|FZ!_V<KWzJ+`DsW>mC6b+h%OD~TX<BAQn(984pbdn-I;ifqvP~m
zJLe%v{!y|-Nu@{25vNG~rL+Sx*l#N7y^^jqZqJ(eeY|x4cL+BsY|vAh)p~x;(tSzJ
zNUStXtuqDN@ZgnIt_y~qAk=c-OD!sRKoH`9(=eXLDH1$3m*j!3hb*=Bpogy^nx_o|
zkv>~G?FtGXSo4Fi+t}H%i(hVbpB;-w`0pKw1}$c6hVbhH=PsQC>feio{g~VWu6Oee
zCGS*wi)QgN<t^Rw1T=1}$yUXN>+&YF^fZ0fmPz6|tA2bZaI{fH$0E+0Jslh^67*-w
z{G1GZMa>_{LW}g^%iUjV|309tKdk$ZWk-iUPQzIs)nq}eA!?04`mqeTut{ZM&!L2l
zXhBAI!=%xhA}YqoBnTZdR7HxB&<aag3aP(%duDuLqtB*IpT2@48Z;hMmr0c2=~fox
zA;pU5x+R-r<v@PFyQYiGtcYBfyRoag#Zj^Bd?Bg*9-VG>+0;|c()rq>tx+EyK9K3(
zX~Q%V;R64E)xl>o^ioOX@6ff_(<f)Mv14?%Yb;FKX?g<z&!_v^<}icZ0lP3Bs&v($
z@o0Cfxt~>Xzc(*6alhTeDn6f9zq`A1cA^i{8>Q$<Q!tARy0pTi*Eg6jNnNTgVCdR9
z?Vooe4Vd?6X5iqf4#R9+I@QDV^MMv{_oy4g(ezvfH|`939sd>C?wkz>Z7L7)V({cH
zpGs%Qrby8n_zK}4o8Z<={QIO;@;ChD$Y@uG661@X)-em^9P03;h)Ed1h=zYOWJZq;
zCH0FeBU!+!-|{!qp7j^3eN6r}ZHwn6CD!}<07{aQM%jObK&?A`xD43+uWF3M|CL5x
z$)M%dzHGT>c@W0jdgjZ})<u&0AD?jPljiiZC>x0OoDLwt{jDqcREe}Yy0i^@)MGz~
z#kH3dRd5yggfE2dLcqIzG$0d%B7(BKr9$W7oM#<5lzPC}H8AWgrJ_)bcyOBz&rzQr
z%s0$1Bt}D?3;*kbS=jcEeo3o?t6xVk#^4ujjv5gY6=iIm`2AKBhpNA^wDPw(40bJX
z>Ahu_sJ9-zC{pMbJpDGggZO&|zJ68Lb}_@d9LUow%@-)YXXI;J(?mC}VKxTE=~$u)
zoYMIQclK2jr|ROe6p;pTQd{^?ly&L<Re{T<Fj0VB=?hitp~lpa>e<pKHM_d^4vYQq
z3J}XvKI?lqco~{YIl58yNr}(w5gBDIi!D{UbbHL|g%VmIQYb{46%5BVB`Y?rmLHyu
z%H-KH{gdmEGtF+Cq^7{~z+3K7D#I<d27JA4&(?HJoR6-nX`fB3rWn&WY=3Jn7hQ+f
zSjanJjXnIRhIDsl4cy{M3Zq<+Fdv&S0uTFh$&g=zVuCE#U#NJ%h>L1$0TF3_FkLpY
z&+c2$ejlTxsT!zPS9?#4VJpprVrsH$*wizXjv$pao@hwjMge!kb*+=JTzhY^_2P=R
z0yKB*2{YNb8$C|tk5(c;ESc&Af0zB@bRr@<+nO4jA1=oYvf+=G^Tk;Z`$?LHV(?1|
zy9-nLGB|B)i#kzzs7I5UEPX()$!fP12pn)U{HK=w41IK5=VHT<_wevJwaZV}AUR-v
z-CaR(a%X3}#VgTWLx9bwu%dNgf3JcaA#jrX3lEGyy5h6jK(ugs2yv9+%I-LsX8G^?
zdFy37QS?7SMpNv<Ns~9gGaHBlC)thY0Y~(;q(M9S(Zc$xD~iP3Dl5zpMRjB%9{lNi
zwTU_tZ~?<9&^S^ad=>xH08;E9?DJ&u?F@3A&)Mmlpx+EsS#&V#=I9Z$6KQ{bned!$
zsNFF1QotEXEQ^4@h%)|_`5Pw#;i;O|b{bzgq5DR7Y@SD@)kc&WUwnHn6);r{t&*Sg
zN!OToK9cGVT9ptYSH%AJ%>~21uh(3Yv0r)qPdD+Oa8#m0F=453xeA<kebZ{e5l#xf
z%aFqcU9<T*d8hr9RaAX?jW@XHAfl+RLibsjID#*|#5YO$@pIu%qfQ*NMibdHebxX<
z%mzi)V2+{%TCR+*Wv@hvCPd`;7UE+d+}aBM%1@B>tWA@972;?44z6z)k4t4{@R)fz
zORS>=E~|@}h=ZiG&+|yV6y~=rk`a4>7s;q^5blaX`|8V=cx;Py5aujyZO1Lza1kbR
zJLq)04%=N+H<yPUD%;?pn?cp;Tm&%*u`zB<1&l61-8qo&u^-oc@z%5W0___0hNXnl
z*x-4(jZJT8n4Bm_=~>yR`2TZ$?qGiD3&Yq{$OudXOp>JC3GX`g9gHn45l9UPOxb8R
z{p2rCpTayT{<x3cZx5X>GOhKkQiE30G`gkfao#fgMGQ|bA>3I5j<F?peDR+>m_bI$
zh3H%jrA~4ChcwM|7S9_>Ec$MgOSD{f=fV|l8YC^0P}C13$RZKMfd(TuZ&f&63tN>~
zQ1&=OicUmX2fp|_5hlKDm%_sM0Z2=!!o6jqh|iYck1J6HX|Kq{o5Z{rez4PSeyMA#
zlb0HVCP(1%;=k9YBdv9@=`W4G>@zWtz#TWFbMf8BZqe-_>-Na40^^B?pCQy(%wR2n
zq_J4zE$6i3QJuoNCrw>im>-`TFwx>$SA4##viv(|{*xb^AE9n<HAit#_P`_t%$8Oc
zYgc+v*=botUj$2u1{r?#l_RY-eW6Q{g}0*#Y^N$foNuZvH9(S2bMroNbJv~SuiL&7
zLrG0j^c6BR?(!fZojpvoiXUPV-Xe6#4IVEaLA)mE_2P(?zUzF1N%A^w_PKfPS!6ZH
z4XHLM*@#w(?CqD|>OXyOCst-lPB(9MMs6|1txd`hXKeWHXD^L@=|KiLlmLBt?wK4z
z`Y821zh>}owt)*RbYTq|RF+Tu9WvQKr-Xc|1<P)sMyH6{|Mhs*dr*o_*A<6nd0WQy
zKi_jw=`-RImn^E>c00`>o%LQhyv%mHhDl;FLE3k$YTMsa*58Y*^U{pICl|C<P`@KB
zpuS?X<iS@qbEXfREy9|6q|lEl{!$}wI^nr{6>XZE(C7Y<HJrN);Rrem!||84o#&b}
zz@YRzz>B%Mrz)VC`Xi@3rsYJfGteDVe9`epgq$*jG9N-z*rSl>JNdbkd*-v5E^!K0
zwHg+;$6SmNSLu-!#o1b?3sy@j#qyd5Uf61m*vvwtK3{a(iN=tE*Y5`DI7UVY<azkP
z3$m|0G2m_JZWF&;459UcfOlvNH>FRvp#;E=Z+g3jd$`qlP_nn=!?FlNQgQK=Zpm6m
zvg$iaUnY0I5Rgi2Ka1oG@(dE02_(tbIe+seDXVJnHPz{jF^{hj1HuFl=#zF@b9yXs
zt1;srUP-KH_9-xUz7ESYEdKZ&K42T9!aesHsPr9jr@qb<|N3AQd^X|K17Za&(C2w^
zr%OhOUD{DZD|F?CK;VtEbcUkYBV^X;gz7F&zs&t4=s1cO*P1Tx$-)Rko#lF-S3<q}
ztC&QOH?2lDRRl^abgEn*;z=_DtC!Zwr1y@z`@6p&Mer3P-fKrd9HCVX-hVmZ|Do$G
zqoVrW_hBh%B!?F10Y|z)Is{4SE&)MWQW^w=Aw)nx8YCo#?q(Pok(Qnzq)STbIedQK
zdS3irF$>mWtvP4!dtdhz_tpam*0_36shhodBNt@B9oNv&y^B<zHM~}BiXm*|Ni>n>
zOX>7*pp%1!0TWE}y6=n@EUEMq4Ip>t(hBcUkAiy6X33eVB&#OX@jw%}rImzdOUyjy
ztpv~piYb4PjhS>gOG>c65oK%5-+2qqDxX}*G=W)Mo1XXHSNkvIk$dy!#y9=K#w=eN
zqkv{*?c(2C2`40iHAhv`c_NP8+bdr>!60DdW@HX;LzlPZX^$96H_DBh;a61f{P*FM
z_h}K&pV-gVGr@LO<?zFoL6P`M^Clv*+p<p;tc9U-rm>qO+<J%jwv=~Plc5Y}7qC=r
zR8ui6V+C1`!LE&Cc+8HIprf7}tS$lM`XR?w7go`;9GebJ*#di^{&p*X)Kqf}I4uPN
zF|svoGOUg#d@44Th9yRGgn4o@5h|bb@@gW(_sc*anZ$&K==RxQ-C3nUjxt-nJCa$k
zzn|V|6IAF?iSmYam!H%rlDoqWMA76Fbbj~ai9zcuTG5=6O#h**>cK!G)9?l{X!&1s
z9;+c8kga<h88%KfwzrsD^U=P$*Tqxuh)L3dR~$b(<pQA}w=4TYE;n^--Om+uzUTF3
zwQcFSVBFM+vn}!6l=K6?Fd`Ehy(2<fvbzw4{fHFzM!xi}6sTdXnB#?IB(2okDgsLX
zxLN+d`FnfjUZ+N!TLI=iJwqK%l=Iz#lgJi}{Ffr~k!}@9<LHN0UPK4+aaNpyAL134
zx;IfB@X;TP5>uC?@2cqE2bP>DJQG@OTVu<2E_hz$HdLkI(O_V)vw*>VWf*XwJJca-
zzjh8@;>;KDB>SRqE0x-!(dqW_rsbUFBqj}2DaE4u@*plf_HD!NKe+YB!u`J3zfGLR
zNBj2?tfnp<5UaZ!uB&)db<4F;uV;y3ST59*=&|z3hNWhH)!}UcxW3%vadH5PC^BoN
zSSOvB!Zjr3_xqNDF;H8iCgdT@Yss<XroC8-nkJ@$%%)&w;}WJW#N$f(K+wBgI~{mi
zs9QdLey!aJZt*OR;9Qz$nXTX{*7@%jcn`IoXscMe43SY8HAk<`QV@)0BRt%rt+@x@
z72{_2Xs}ns?;|rIuvDeqMYMS3loC~-#NL#(e9ev<G^E=PNBw?uF&qDL?JZc1z`Z>J
z*^i|&!K(xHRn&w@Z;YZ~B5VBBU1Hi_nSsNF3}BiXqr_f*<^0d#;;4qc-2&s2`o6nr
zcfKnf4sRb!idz=*Q&ZAt_1<DDF)8k)3_R?0zA)TXPcQhB^1FOMKCYw*x402EekPho
z3_7&kjm_=8piaT_!utrk2)|Utm9is%+e<DhBwR#+*l$ag;}<=i%pmFs4mKWR>@2_c
z^c_L3+(LxZTVI=|boW%nB~rydLgiO^i|i9b!zpVmGPo(gIQ*zgrlVLm5&2UriTP8!
zvpV`!cvCd!D<R(Jy7Ix_#&@^I1CJeUEG%zp+x(<9F(7YJ6juLI_GjJ@wqy)U3{c_e
zOK$W{V%vqt9woL$uS~)ZI&UeJj#Na3`0g=i2o10?Y*_xy>jEcj4jRrRGfR^7Men{d
z$fo)jABJ_1)e-VN4a?vE66A1<b+{OY;Y|k@l*vaUlK%PxbDvQ&Wme~NuO(h5y)&(Q
zjGCxaHk@0L^y1P0ua>0eRfz>x0^-^2{zmt*rCZC#dFi5gqQv^wg6&f}%Vv9N*W`d~
zwy2eR95HqB*IX<>{P3nd8~Ob=K2^TO_4*%#h~TNDBAMMGyipB*$bkaGD{hDYKXPMy
zb+4l7GnTV8X-;q@+d8?>xda9@H)9R7#@!A*9%d!?@l>_}%`@G=4n%OSMy-tuB6N?7
z1Vt_x?_atB8t}FCA1H%J(Ero7b^_8%UMdv68~4a#%gSr}>}J`2z{=|#ufInceD|Wj
zpoz~sPm}I7Z%Z?{T5B)y1}8*`bw#-RFul<1nM&2HI&WiS0{JG$J$2v<ER_@4X999@
zhsFPJT2Qh(Iua5lsuT0nYE@dyhIB0A{%9HnM}rm21s~P!%JnZs>v@w4Z#=RT5|0WW
zru%#;lCLS*>u4J~PG(4lm;D1-wdn9uw~THOE%ROLqP@`c(Fxh-yQjIcOLv(3(fF{x
z-7%SsA5{Dw790(M&2F$%Fe-CCNA<`mRh0)kfN_Qx1~d<{+ghI%)hYt7T#?zL_4e-$
z`&_ZU=*caCnQHQPMqF|{EMP=o=em1tdAZtMPXQw>XDlgt>61??1v!0<%LkDoY%>*l
zA)0#jJm?gP=q!oK0Tp_vUnLzG0tU<lqJ%G{1HyI9Z2(+S1FsBUF{z5#lBcOMASKI~
zxMYGZ&i$C$j+}5t?Oj4PbQ+i{PZDfu42$PBPr6J%x6{5U)t3O15Nj_e%0Ya7sVXrR
z>dEc#e#H`WPH0OJuLW+;d|ESWiq?@iVikg{8hB?XjAc!^jPFq5A}7^!5c!uWzwqx>
z(QV5u3NNtuomZ2|^c{%z&$I2P2Ff6NO>{v<7)Vkk;D?pw6K6XXxE9@>#CQC~0u|nv
z0;%3tTp>+=Abn(V;4jc?S(853Yq7ibU@uUgwrHO@gYO8dz{ZJhanM^oiN`ml)iUBv
z;Ui2}>tkZj5hCWvE}tlC*Ii$bUOWTXR!doX_61w2ZfmEx3hccc?C*SIKt*W{5TAFb
z2rO$bdi)mi=a#_atlr&d{rua@wQfZmM=bP$SGZB~=;}q<*$u*fQ{`jl-XN=`{#})U
z)#;Cqb~>etYgLlEcod?3)6(p8*8ubbU&qO^O{m+MSzhwCxP)+U3uA^f)8%v7`s`-R
zm3#^lzB;*F3XV#zq65h8LnX0jmuDM?hE<^i&|jv;{m3UM&cBA32RxZ@mDhUOUn|Y6
zvyLRf*Wo5ndF~|T>f%JMX>G%TdRT{(e#PzPZJ)1a^)UA%G=foG-|ZfqK%GpzJ{ZFG
zUvHK+Hu+G`P>%8EUodfvWhoS<T1mQ5b5?ZQJsd~k<*VjuQ8e=tBI=PdhuA|GxX>*t
zep4QkKoQlmM>WtX+78zfg6Mqx(}Q(5^{n3`-iSO(MZ|;f_0b3^0sEYL;BQfLPq7%T
z*>wD8qXrZE;GnTOb4(=8TO#KcpObSM<V21wiy8O*l%-=Zq5H{X5RTvG{+iPN)$l%}
zz<Plqb539VD_7mz=I0qF6bzEt136A2A?7^sei`aWU$N-r$2MM7%e{9$HxcH^H%4GR
zLwE|9<&Hn4t((cmF4bP5ElKHV_}ZPl-Ge&{J67`2Vo=%#=}hTG!-c-tD4xxt=90!b
z4?>3cb~OZyKJj}xRg^gj9!0PSpJ;vAGlEYeNi|#>(7vg=L2<Al+K5M?lzUrP?_Ei3
zx*RXz%z~EnVzTK&qC15+QG4-X504`_Hd9ViDC*}L)|zB`gzsTT#K{0dkK2kuGt}7U
zc9kB_y-1%h3n-kxBY}{8YK&r|#v>ITXQ5{uF`+<<N;jYoGW;Hb`(i;J!&^O3(CM<m
z2#-`xK1{Oqa#3@ftO3cPI*foNscQcKcfVfy@P2U*wsSDF^F3C1K|YZ%@1au#&Ada#
zG@>Ln=*_!d9tkZ{2WP7WKjf3CNpYj$USi=ccF`ABY*1}}dy~Q^*Iln4c4WS=<}=K3
zf}vNEMyte>_a|wtPLWqGM)Ne-8Rx!&xRDWxX->loReqG;6)9%@9YZXva@{@1+V(;7
zGm1MJ1F70Y@Fv`Tw&srizJ^oyDu0+K3$FSe?_|zC(|EUl*|2<>U}8Ety)nB{ECDj+
zuMA|Ko@MfQOZ8l`l&K4IHqoKj!CQ6{fB>awmVrLVYG5MSUa@blIdQC8`ityx4il5b
zIS*G%`D-I5I;n6Kr(^Z!|FAGmfLj*P)|)-P3eoNDOu~0Vow1jS5`7NOSR`8oddWwO
zB8~vYj^wy_-o=I#eMHV;4yQQWv@){+%5PK~zi*js|K|MKQ&9^{atXbJNM@@rQ+ag1
z)Usn6S+Ig~zOoIUvX!aQ>2l2rKHqwwXV`Zo%V{NT#s1Zf#nI#C7M|^fYfI!2Muzxx
z+o34>?>}d}$FGUCx3q=}3qNtPRQ1bxbAHZSoQJDkun;v!ja03NBK~w8;5d8q*aSU#
zVv!p*OZu^MaIWtSZfSg+WqLI3_dE&yIAkohRu)69rUdR4=^`8wXa^;NAoL_G@{jHA
zYfGoly<*9><>*E#tgNKWudg7T(OcTh_EeAu4fvJorhxrKl9mdtJsZBmcPp=}7G|8Q
z=OW^w@y6OGA6fZd0Elp+Horyi0YVH^L&olwNR;=`x&GL?#86EvA~fDvETlzZklI{f
z(g~5PM+x!3(fFxLw`LtuBa;HtZNYha5YH)$%m<sSEqlFJlc4bGg8#-7oNB1d_V0P*
zMjC{X^z5$aS8*{ya~9$y4+b&B(Dme=v2#4|O8^gBGhN{#3ZRs~Rm38!IDKjJqtauF
z8b^-o@?95j!{A4pwe2oCXyZy-U(5GcZrMn$Yjqe>B_2_Q@RT`6U#z2Z9+BuI&Rm8*
zT5p;M$C}FvrWB^9##wRMX<<E`!u>rufE?vst|hyiXCotKKVtI^-VI#D0o3rtAA=F$
z|0VAL^7nUT>2+@O90%h?OXR~(!|O*-4ek~1l*l7qdbk6%r{4_}`{55{xoGsM_j-Al
zOx$ZIS+O~>R^%K~;83N3ayeJdz+PAe)cW!jU3*=U^{xtqI$q~Fm&;+4(f-55-Ug&E
z`Jls}Ar{QX>MQDwAH+JiD2sLu&yZ;q2f2t2{AG=6R_MHGXY%DlW4r6)D7ySWcYN1$
z=WqBNB90|FdB*tgo80FT*z*kSa=xCKxG?6a$lO=aY2syc@KG|U@PJL+q(bLBk1IO7
zhTq_<$1+{V9B>pC)r^K)Qzp!NZ+g^f>8qykU4>QasMD8`e|iO)uzMmRCh(Kq|6oQ7
z1<a(~g7!PF`oBjtiIE&HsHjw4!=#mt7^q}qxYOJBZVSS0hI!5o4R7#IqJ_BeaYNMD
zb57~&WuKp2QAxRtCE2JSNoj-isz~+Psa5>daN(!QL)~yZ)9k61@SSa!uYYClZ49zG
z`;fTzEx8*GN?78X=S(YjN8KN20RhbPg@=S>G#|Ho@f|^QLZA}93B;?2i36{omCL_~
zu8+?N6!I&oOO|(esm*+Bs*U{<!|v1(X?X5L@oUn4b05kn?K^CRH7QHW7O61!elW?t
zO@33m7ijri=v<jx!VMl8uxErm0;~cprjZxWL;QOcgw#FJylXD$HK!0g+OB#IF|k{@
zdw-7auc~yk)nz%%#d^qk5`A~2ub#tAiaa+dd9Cwvd#6G{{57qtMLzECBhlY~%3@K%
ziew^E*<r^+w8PALa;@DAgUScz;xOpYUpm2%eY1wDR&1f>nXfKE=h+<84xzUzlC@3Z
zhbnj36Kejr*&5eG*)ezc5l9AReU+mphCbsH70_Sb`=hN2f|(P@OxR1tI%28h#{Hk4
zTs*56X>;AZB8t(Z+zrrp610wyq{y9TCHnE_FpInSt=>Ve+n-2S-FeU{-X!Y4tRAQo
z!NhNT0MS|4pHdm)e^&pY1^RO*wAS|?k3Of-4U!Ky6Kbq3SkW;bk>`;o-0k+t?B-~e
z_44xSNT%ku{+z{}oYlST5$AYtS38EydZ+grNoQAvi4m<kibsVD<;&-gt><*^J@x_Y
z$}M3;wfqwX6xC!Qja65T3C2ZCtdj(_%xjJlR<0dEQV}T?mJm-U%9V<@Pg5ku+t77<
zEGg_)IJBt6?89<Ww^!^$gDz120p(^p&r9(oHlCcHW~(O%ezZd#gPoB7wDq%k=TZ=X
z;!AQx7`<LlI!<5gMAT1G;1y3N0E^pLsqt--JrFPbB4A@2t9Vby8O6Wwdz=FN&CevX
z`Zk}`ReX1rgeVuj*_EEp|B*j1FO~^jggOCl;EPPshR@hnMCGgD%{+HF=s$idlM|Q_
z)<Z**LTEY4I@q4V&#KB}mM2dlB9kj(`u)kMNc77i^jlvRxYE)Yu<sU~!Xn{^7q8SH
zdS_PZo~s6UGvx~0PJ2$1)?giHx5&y!_+Ff~_dMe)Az2hs!uFkAs(uFC!yUb5i(_q&
zde)Gj5>62jJEWs)+4A=zs<Y+fO3Zp5xLM%w!$131OWViW*OtbwBSFEXTfQ4)<_dy|
zN^Tbfc$Bx{W0cfts}X{exz^x6$>6rAziBATtIspjiTBS$qq%x-gatMiz5__-!%IOQ
z0-!IhabT~<3jqn;ZNf86;KCT^V~Ho3{l8}cytsZAytXdLp5ttDCc<Iz;rgPhf=k}t
z*<ZBfgB39I>-EDqS(5P_4LkDEOzt9$vJ!eg5ywj}t9^)>1kv{HxdLCD`Rw}e?sjLN
z`y4I*`FnUEa%Z1Hxu{NiOdiMo9sN}kUtf)aN!Acj=v@r|FsJkCj<fC`=O#6Wbl^Y9
zU^^YDfwlDS5GUoyhCL2vKLr=I<5r}15=H24B^SJ;tS+&dp_NZE$1K^NhZsX=c$LN*
zL;0{!LR66GdM)&-ZBmk`4oiy?sQge(G6}ij6WPr}w^VWS;HgzhJvW-<0v68i3OZ2H
zOiO}N-Rxipo1F7xv-hatGA!V7q8Z??eHKZEh=ig#ZK1sY;!vjNZuv+2_`kB*X+-uB
zQ{p407n4erh%px`4BEiMPua6`kXbN465VmNpJ)VW&yOqj#CYu|YmtdN8E%S=IC-q7
zTzq+J?+qn$o`?=wo%#g#Akhc8drTFfHOJn?X;BQuUOS3I4SAPmN7<7C4SdSl*RLAb
z#=<+paEo!0h+N{c9@R3)MRs7L+2Q{(*)!-@w-)gt1YAI5f6);~vSaZH&kDzT-qlWQ
z<aN?ns6_kI2k|Ttz7L0+$JRf7ZoLAI!NH#wUF_GM<Q`MYcikgbu*9g}Vx%g64&yKB
z#_{g4y87E>7iI)$`KPfiqXoc3CGD@eMVLs`%$Fj^@+#mUZLIn$XLND_c&M%~2yF1<
z)uruC1{uo=g=|R}emg5kWWp=iH>>hLA!3_EKwF$k6BLS_<<)}v!cmDno(r$bPuVrS
z`%6WlaTdD;$nxdS%|m1Xk&;a2cJ(2OLnlO>Es<$V)tVhD$*J!ql>9ANU-rq0oq%-t
z%HrP!gR>vkm=2VblOL;(JA(7E{O03UwklGHPtV+AY<SYCW%;su{cRuH6-xHjUE;^&
z^*iWSjkyU|HVSc4B-FK8FsdUd;`lt#S1-G1aC){aJCeX;2<KeBps#UAbQP4o7G2v1
z2QJ*wp)sWQ-Y%zSlyc$7698$A<ZxXr;QXKI$%py9FX0&@VBC>TQWJmxOayKH+i#Yo
zEP(5RvunU1UQIfk@jEv-it)D_6X_o&)rK`SyxtQiF33>jN%qK*m)+A=E^M7INBQbZ
zq*9!`hJpDwzwucY(%kW|=^h%1N{u5syMn*d_at8OAqUVwmm<l}R@qLX$>5xHlfE(j
zcry8T*;1W^KwqU5P_KKY9Ul)f-225^*1HVS|L{&6$}TxVu;;v{BAONEV!`4@KlciB
zw9CXFV;v){EVEA6;^>StFb**|qDb%w&v(33DGfgeDxH5++CZV`A(aW&fEhz#vQy=J
z&p--Ridx^S#VQ-Ws+Hh<C65hYqN*f5F?z<vbYzr}v?p-SKGBvd(bPWwe^K|d5o%hb
zVM62+6b0@dz2%K~s9#!z!gr&OSe8UQ2{&y)KW1ot#924kZ=NqF<C8Iwy7b6Q$w!(n
z+zD~QwHizjTEHorCSdtQdGpW^uNOZY&$%cXFi}8_WAec#2W;<@+Pv`T9)oJCdC{fY
zq8h7`JNUoid=~ID#ht`o`2He_D~N%JFCtI47Fwu{ACAQQSs?li-+rU7Ba*vtNxu5i
z6uMg{HL}S-RC`OswzbPh6so`y_+fuKJG^zQ6V`*HXn7#sf61d@!Cewg0AIz5?iEc!
zR6YsXzq6%-XP8aXL_2sNWzPFPUgbX}F=B@<$pMZEKa2iK<7fbH7?+6899YP+m`T-F
zuaDgOayHIGYAu{_ftOb=Ve=N)Jov`fpGzL=*7h!`gI?yX-5Zx`^;G&_yEl$@dr3w{
z(XSGlkVor_MZIW!^{RTomP8X}HZrJH#+KMo%NvOFDJ2V<+k>0glGzz{I)4b?wdEik
zo6z;Q{Qj{t=Gmx$<8WeK&zLG|ed;Z3Lbj|$IHrf2c-&*pBek*X#hy?vEe*=J`XFrV
z`K*GP#SqopU<0-=mc`!uD8_}<j?kuIfs?AO(DT}zi|D#WRbbKMiSLhE`ENc=(8q7v
zl>?R3RKqgs3eri)Or@Kot9)>$B=8r;l}$$28o}0_{^c>>S2A(lw~5mxnomao4`c^Z
zPpD<<-oW*T>rLFlk1rPJZdl4q=<oSFgxa)&$vswaUUn?{!Vyvms(K?+Iu;8W1%s+|
zz>H}xR)5Yy22DCQJ$`8IMx?|)O#_}RE~{ao77hgAv9qwsQxko4!}dOaZNY=ER0MBb
z#EkQco1|7(8u=$%=c+KK_(&$VI3jCB>YlD)E0P%60;TjSdO<rFr_RiVvyzJ|dn-}L
zDC;OWD(0?Ai!Q5|lHbLGqvabSL(Esdgd!{dB?R`y!S2W*-b5Zb^;vsoYV-+cg3!1a
zLvMrFcoEHDZ}_x92Mj`J8D`|Qq_W4q3i->E?=Yy)mIWUj(;<mrz`m86p-8yM^;v_n
z-TNfTyq6S(Oy!ZW-=1CldINlS7Xi1q<@fi;PaE#gnZ8QS?M<yp7i0JDD2zptVYs%B
zoh`0bw6%T_rK|6I5^<{M<5Q%;VGV0R#(zG1?0s6mJtT;Z#=1X^W#&09-^SkR_4JH4
z6p8&@QesXq<%wx<l`J)2L`p8bpn>Wvex&4)FRC&sLcDe0HN@?6us+=r>^@Sa{Td=2
z(90toYTa+KQBDe_kI+`q+{L30&c-@G&I!1OGqEK$91dI<QyI~GdtsvZH0AW`tu90H
z$KFy!1cmPMv-50D2gEF{@uu@^p19|-E~z%e@tk9^mm;Z;i!tcPG>L=8*fFLwr`WM7
z%_Qiu_ef;qlV^t_uyHCG6QmqT(9@rh^1Hrd10dahq53nm;K9_tU+3pRz02)B<a=n3
zB<bk7=60AH#rUE+g6;&WFVSz;1_H#2d|uXk3Y)LT+@@4Z@|#5%s<G!kj`kc5DZoG6
z9Huc<O?FFcg7e4Z9*R4rZsbGNk#_TouGKi-RAntrF?Fs#7_|&G;*zx(6Lr}=+|u#3
zVDSng0dtt7J%?6ZfZ?loqtCc>j_JIeckvk%a+B;BTX_^v{oCnJ-by}3Yi`$dtSxV2
z5IM%6+H2AL`j;O-=(!?Z;T_BJ;j%$>sY-&0p(Oj^3b;cFk_L1oJh?c1@iS=E^#Gl*
zqXs;IQ#QyvCHjBJvQ9QK&E^m8u<u(@?dl%mqI5)m>&UjDPkSzACiD~fwaKjmkG#+J
zax{07TVB6yT-yY(<}4BYni>#BR0*+vv0?)y>a|+aq;eXqaO(4r4Xx6P#XL2s@BAHQ
zZJ7d!PBw5X>W8?Gf#~UW0uBDg5a<?j^&5)nVtA0+y|mvTG3ISNR5B>#A|J9L7!4dK
zCTC!K#oV95Cqf=b!`^I`2irwntmCW|I;1?9X&bK&6UXe&tgtdhaP4vStxDhtk3I1|
z6Yih5G*#}?Y`o^><d=ihdrf#sbS4hJg`GcsZKq{vwlBQs>s`;$@ei^B`qQJoJC)h5
zwawPcZf|;s>C<Quf_v2jtSVomPe%iv$|#iQ)boh}+Dvf^*B;S^nG{yO|IMSu!c@OB
z8*9gLxbyYVx7RfMC%goF5lr&Ajg`+ai`q6=8_jVN8>9Tb4<3xDNDp|No`>CLVikLd
zm0q;mXtffbF=<;Wx>bKPDET;NLS3}UCnBESMHh6=U%}MvZ(WxKEDlf1q}o!YEVIR0
zQ4%lj71uRty7=~Q{7~ylY6A8SX{PiZM~7FG4MWM*u5-_E{PJR?tCpFGmxBu1=Q*R&
z8;7i%0*&{D1JJcXt760Vx`#Q5j^jSialT}Z$!YwkG9KZ;*|#}StT!k&G>cQuo$a%>
zd(;@f=tdU*Qghlx2jIQNi=Q*^k^ax(0I_JMkpA+2-0J^^eUQMYpaD0VkO=i|REwM6
zXzR1Tdk%hE0`WqjDP5wmD_uWhKyomm*ea+~y0Ithxzj^`h+_l74iO$s7r{ZEoizp+
zd8tiakSFA{h?tgGVB@dU!7ei0Den1;$l$I}J4XHVEI)LN!wE||_xfBZS7NdO%i%(H
z-t07mDxKFdEqqpU3V*P?`AJ!e`JrmoHsMMPMX}ZU!Xztx*`pTt_;YjKbh33O!BY%2
ze|n#AR&gXzvT0>dA){MQa#8`t6yNwQC1i=1!2Id6_wLr`!dl54fZPl71(0T|?=FM=
z7?LHB#iZIbk%SmvtUOZ%&W(YT!-X-)0DAh194@=>;${I{*v*EpQCli8XRCxbWY>Ui
zMtZ7^q8o{mnQ$JX6u#dPK39r<ABP*Mi`C{p#Z0U;Uz&WqX6OtG6;6T?5J)!W{r(Wb
z4_$=(PKD@w%7coeJY7Yn@6$J!tr!+o2p;--(L5-scR=Dq)OH1P-b*HQd5#WwtJI~H
zY4`Ssti|XN(g*SG_u*-d=71&VJ6!0cCFC{o!s^(`BugCXFFMvAtvC9tj_gl>L6Wgy
zM(??d;ZD&nE!Assf88pvcbmMaep!X@X2(Lkpv903Syr_WA6u%+cP@Ml7xnwr%v4jp
z@H#SV+Pc=vI_D+5#VnDi28Xdhw<y4(_HRxD?Y?SuMvxT;F*qGH9fh%b^^77-w_S=J
zx>$c<Ix==l$PCg9g(tLw`FT=M?6suzt0T$ucp;vwIe$!(+lp)jr=lkfVcfrimC<I`
z{7?)cLA;3}k^4w(h%@CFxmy5l<bjv(5gq<~IJFF8BC)|UG<vBn-a<B7W`fBeqMj(Z
zgreV6M62?Mp?fiS=)}&|ej`3(EVp-ecdHlkq3qQ-*)C%A2b#PDeO)Z%ZgLK8ehHN@
zq(t97`DweYMw_cHLez?rUrrg9FD2vlhe@Sp^EXfX;5D+Q&cy1h%J+~JZ)n`pKF(3+
z9}g!DI+DeVuujcDDWf<2fvH!M<^6iGEVfail?O=Cd&Z}R4KrzD=Uv)IOn=yX*^9O4
z)VQLm#-v^k&K{&Ph5Yq!CxK60zDUZ@xLQWY*k+jhbUSgSvfOKCSqm~;FuPk?csF{W
z6oJ^zfhSh!izrZJY!&H`eapWOR*O=FNuI7eB9G#a$>K5WA9OMD6o85mtV7JEuY`_@
zU(bxFN&7+TH0cTt=NW#zWb_I44xBx0Y79l^gA*vAG!Ef^q@L&&|IV<AUqtj&l$W|g
zU&2X~c7CGHI=9?~gg@K9xj7EkfetApG^X>CV^j0WtY+~tPC15#?;&F{Q{@CxekkRC
zDb0pJ$m0%Fw@b=ZAF%-a3U*!s<=2c(Tk$9b7U$1sEKF{R9!Uc4bOGRH_J8UEfV?_0
znbodnLjIm>HcZHCyp^UbgRbMH#uX5wB;YvFeBsDoM0f>A3jc)s)5>xyc@)s$2gMd$
z=ZfM^Dp=iBzbIRxRLT23Bp}Jz+k!!K4V#DRGdX9@-zXP;;LK;YrIK@VV1&lAO{Bh{
z<k&VG->UC1h|4MNKzvP%seONfQ;bh|N@DOfd}2c}vH@Eue{74%yJW?*!a$nO&hoWp
zj5=yaMEFLO`!M#zDw2@IoZV3u`_%w>21JFE>FD8~LP=l9c{*v#<-)cTAWYYP)x3A{
z4;K{|4#i|OMs-h(X=c${qe<Y$d?D)7n>`hy{qeJKDIAEaEC&3%h$NnMOt{E;sr$&j
zpq1snFaxMJHn_#cdsF(q^b|FUt-SvFJqz-8b0R0x#=n@Fdkg!)u~j=y>~%QpmyRZv
zRQXK&@mgoQdZz&7jraVIQJmn%pt6&ng00Z-Jucq&R-Z0=g{^$Aow*`klE-Qfb9?=Q
zh)i#X8fmaG!h|qOBo1hXsC&!BN@sU+P8O{us-ztlj!X!$pS6b!Og{St^+4#W9O{I9
zoaowy2QCt<^R}D&o28!(=(Q_K2dN*EeaX(Qe<4K&5CWy#=<}U5<k69uS#7c1vo3&m
zpvYP$9eE_-IF1JDcpE+n5rSXd2o@e=1NC7#`5uZ#>kD!H_nU|Gv1_JO>3G>F^+z($
z&*!_8>c8q%3hSXt%YdgBB{vO(9{h={;@+K5AMBIjv(F_q5J%s(iXKeVq=vJn$y^g`
zvf7e$h=1uGi$q;~P)E8~2b;%fW}x!mDij(Ki|>6;AD5czfA3hH+;~lj{*+ylR<sV?
zTSDBpY<A-P$EIEdv&MJ74WhrVfd{R9S*khwh0gq9*dvK+6^Lsi#%Y{oXqn!7Z<|z(
zZt^){hS-dHc+L9}buQIWPFcmx^%f<FUxDQ0Qp2;<n1i-3)<&<H6_8=WytgD72(z%*
zq3uNV8<qWl(c{=RK-&VS=z9tP*xH*~cCY;p)&hjdCn3#ma_HcdC01VKJ(C{Wzi`+J
zH;<;%WE3?aj13)><q2Nk_(U&y=yZ<gKzzBH^rMsYDzhLLdBd{(Ix}v%;ir0HqaATY
zJPk=b#{SkZy(c21?p8siWEu)4Vii_z$v)@L<Dmb-QVnU?z^TvUuEmyA`c&bGt%#EA
z|MK(R&x_Y9{K>|)3L*3`n_Bu!A(nFkZQE^Tow1ToUR8B`B`J)?gMzlXGqY*a@K#+k
zf<5kMudXcxckX8|{!m#3jaGzY_12idGx8z3U479({`;358~plTEDrGVnZ}%vHOVJc
zWZ(89`w<iw@CjiDHlCG0SNZ+Q+^DT2)$~VcJ}YUHL?Iwqo1#w)5R`bpPUVd*#9TZJ
zKb1`<9Kh0N?5Z~r?5;t8JG|Z?sM04@pRUkgckS6a8YpP^c;u5++_}A?mjAt%h9A1;
zAK6GHle@$rKsB=fKQ1)HwKd#8!`x0FQK2IeF{TPZZd$*9!V6bJN384^#l!O49zrjD
zB@2H$bGz<}z70Ppp)kYIxooJTpKLe}UL44tiFu&$;Ck7L-}1u9htIY1P>G5c=;uy-
zzYgV9i}WygyP0A<@QRG{lPwr-wE{tPiCmk+N};^>J^(u3mQ0iZu=^Bn9KG0pM3EZb
zC%{YfIqtJ<#eKv6FAWW#H5%W2vtL$`9x~V#2dDh0PBjJWa-yj+bYqk}RY~%n6?Qgi
zuyiaGexT&Bp>u}GrD_3NrXbpOPxfkna_2!WC5hTOpzs89hWTLEM4SIUT%j06Yw1#*
z<>Mp&i0=<*(uj^2Hs0QAD+=v}^}3z`bnoqee0ee79f8^4H_aQ94?izDFzxPl=JqFw
zOdm<KdQh=Lp^##qEMK^C48mn~a+1MS+$(YO0`J#?R-7p%!rTdSdSPID#YVnjnfS^4
z`lFZ7SS&6Kt=acyJxhMXfc0-`SVE<Sp$cppX9!1uO>QxwQ8U5rxQgIGn+5M_^9~`Q
z+b;#Krl|9TT31g@p?{o*Q>W==tp8IboMfaGH2e<^xiZb|bMrj6|5Dk4NPVsrJfC^Z
zfj#KA?IXh!_P(4}ICUuyy~3HqEq1HK6OEvY$ZC=BT3T}9VV(}n)^?;d8b%v{SeZCW
z7|RywSW1LraeKT{-EarIX$W>rGEZIgDnKR0U@$TvY20<bh$U{`^W#ltK&S?i&wxg)
z*#x8HB_rn61Rl!zjc>%}4K;*?@?yP66N-CqHH18#X7SY^j>F*Y-gXLi+I$DrFth&C
zOPJJGnb#_!V8>fCnz8`~ALJVhlYT8<gf-qcmiiw%n?w#|edwHK|3_D~{(tGJFDCR<
zbM~3F)s?b`a_M^>Vy*hH#gD^3#AT%_+i2#jP!RbL6IQ2Yx|6?qbn2<!%5SKN<H#2>
zB@(rxRuS(lc(&v6fI@1#uW4BL$1_kvI#?e_j2wO`p;DnpSbHa&&%xwO%Z%ngLcV<i
zcw)}}kO77#J((Q61){?V<%RWKr6NyuG4w^(X8IQtr2XV%2K{QNiSKuzC+~_hA<0zw
zB$I9w4&EiO#l@4Rn0{T4uKe;m$v07RD&sRC`e5ssL>{KL1w}(>&lH3iO!^K?a7zP!
z%aA{qiuF{%W*wqOji@vBo#blJFbATs;}NNlMF~uyd1VLyAYv#;qSC+Re@iQ60(h(v
z*nkS5Do{fo?$g=-VkR?~E?@DQ9j89#A0thTVukfOBITKSVvquy1cth@?&AD0gd5e-
zn%DiQHsNY)hayaFZCff?-#g4F56o;S&hJSItw(0jjcLk`D^~R%u@u!IS|aVBA?=(Y
z3klQ7&<xTq$rg}<Y%wiglV@lY3|dd+9b}peWF$?c#j)V@tC_=N`|`aL<qE4h^)Vv!
zC7hK$K3g=-Trd&)zz`BSuFQ8P@wo<0;;-8%NPn;sWeH9)FTzzW1XH!jOyFP&FnVcI
zcdJ#zhcy+5Yr~71#^QYTGN9^HZO37HPR~gu0y(jw%7*!b=ohVv@BNbzPydhX{a22T
z&3^5_(K<P4Tz$@b1Bxw97)(8``|y=eWj_1HE5oD<3FNsnTzgg??EEz_Ibs^8Ec}Iu
zoneYY(#m`{PV{3Sxk)Ixit;Op-M7THd#Jghm=`=&#0RX|s&u60q|=-8s^|*h+(vcn
z#|$abV(GFFYB^(`n6n31Rxa3L{%vpElr+J1X~I(R1;eBj+<{R;&<>euO$(i9{PKOT
z{bpG-(IG1zw$qo<DSS>3(Aux2aHVnKOT>^u+G*(z6{}nZR68HgP2n+_#os{R>FrWd
z*5QV%G&NLN3Zl@4E^2vsBq3FFHE{h1umB1zT-r0EUo7|sust&qz31;nRlYb9-Sc-!
zQp!&mVms+qp%l{?Uiki!+y<fe4V0*lh|j4pMI7Y%2E(J_qvC)oPfcGmf0EMdG^}H$
z;pB~9N<nz%Us8jY2^ULWwsXg%W;v+5eH?uXGpUysCFQqh)Op`CDeC7WpA>VtBJiJ;
z6Vc`k3+TC<1en%6_gx0#@s&pe|9zaMUa;ccvf?3D_h13(ke}X2<`v!X-HM<=JNq#1
z6Q1nZbGk(Q;Su#M?Q<V1D*i28Qv!`9s4hXcSi#Uo6E%%84|?<pnT>o3J@co#nJtz;
zxM37YoX<vDJZvt_DjB8Xh!+0zAlGMyPIGwMrhMs()3_8MS$RkdxQ{4W)F@bSn9Mjb
zEB<==KV?&mB}XF8Ns_YNyBMpyi?{{?74dW;*XGB+7@2$99Gt>w>)j}fm)J0~qbwh;
zw#z$rYD?Ovzo1Lq8}np(-zs~t5`X^tj8vM6wG}V4;bO_CpWKaUw_Cb1Die+DCh#49
zI``F*EM`(?Dcepp^X%KdZs22b{KZSRvKxh%-ilSdUCs)?le@C(o8&9=!-1FBBcc}O
z4|)HYgrY?At17Lcw5fq$=6i3DWNJ%R=+rt2^$x6NqTsg6r^1|KFuTtmjS!U_g~1kO
zX1kxm6udfVbevt&{$b~y-qYHHh6A7f2T0AHVICLosjTC9c{MOC{0fDbIyn6GITTW4
z+c;zk$C<945QSs={o)YNF<7V=MsU)3VQ@{TpVPptZNB_E6Ts^9V$QJ<yZ!j;SzsLk
zyAS>o@}_IPhT6nRau=S9c{>p+lC^cXvb;~Q!rmrn+yARJY@!RwZK4Al?6#OdJgxL;
zXpvYpg37c9aCP;d8Fsz6=G!do=Y2F|ebPOMldDqqp(lY1plM)+j=#do@YV)y7~f9Q
zKbred-KmiRYdSYfy;9GUkczmz^iHtG3@42lI>`roT^qW=1ay&s4>z@g@J?1<8tH6c
z^WAZ|F+M_raNlzks`qm9fablY>tFegh2DQvN+cW2J*0?NyT3X*eQ2u@m%+t+->UWl
zX<%X#x-E(W;+CcSjh9lx>a`b%owFLUoIlJ5RRi^S$@Zsuj}g?EFQ*c)M=`Qf)gmth
zdx$yx)ERkO`27gD>}o;5&P|vZYzBlgv%P#sJPi^G984@2TXb?`q8xFxGZ3E@AbfGM
zQE-RMuO=)9nOAdzCoXKC#x`?r%lD3aR@|G~t3Q$Y=!S@&W+O(a$X&SOl(G@G^<=|e
zgn6^+5pT93e305=ym`XW%pQMR8ZX=B`X)o3*t>yR63jno`Ci9A*omQ_pz>UzOo0C6
zm~o|=V&eYM_YNSKdRvin{4smm(a%au5ZkWY!X9t^k5v|W6=THb5VrR;-o3W=j~DLW
zjuZn5G*&S9Jk=e$G~J>HqIZ6roB4}FwS`%InXU&QU<(|HvR^&X8!|Wl$lQ_I+jS)R
z?N~u9+G%!iu8={03da!05TT(9ZA;QSw*Z2v$aojJH<w~<YnOGp>7b>nSZq4PVMdwp
z()9-#P1KS9WIj~MIix2=4nS=}rSyBl9D46GTpytIsmd>8HdbA**iN8QU&O5p&6!(*
z&qzVl{2%Q=B&VmHn}>j@0d<j-o+MoHlH(7bP%n<>E67>TbQ9o0F0}N-4t6IhnByR?
zn9v;_d(GU6@i3o#xSg5j*A)kyxKKq}H9LULzs3PG71F;A0TU_yWdH;uS3pOf?7SaR
zao?i*Iik-wg632~fgKEm_S^F-_av7w25fvi^&5^vO_IE*x%77fWVLAHWx(`UsL7GX
zLlnea->RzuHWvG)zer&X;hf|M#P--iV%<rDwE1;)%J{JB`9qm@`KV@I!P#T7K8`Dx
ztUwh&^|UI<2C8Lvm5VClvy<V6lkW%nze_{_s0^FLCpGb6XQ%jOu!ZugF!fch-FP}U
z*|;5;s^N+GD3h9!Tl1&hy^AN3X+C5P*21U9md(-63*)n~V+2>eaS;vHW?}9h*HJ+{
zws5<D{lo=)L|TJ2Ig8J9tbwSmttL&|$DbDzVo<}`xX@~nH>C<1zsdUDY14s=gp^ye
zP%rD-((Y-Uv_Ce>|5Ij&(c=|zxE|KN0xsm4HS5(jY<2Uc%9SOdNVZn)8XA0}TbJR^
zfS^)vvvhnowzoHq>|U&Fj-MhhG{g~jhE^~J*=d`la9ydyM)xTk34iNB7Q~y~!_H5w
z%8Ga4DiKbFh2r<1I><lq@$L`7kYQJq%QOC3e?nWaI)p|_msprfS47l2|J<kk>MF-2
z8KtwR@X7+B@^A*kweoY9I#WEG;~R{>mce-f>KxPo*pcX`2)#cUm&zEe*mNA}Vfbx2
z8)RML&w5MtWFU9IaT#)MzX3aKSWG4?uT=oi?S*Xt1y)lXU>W&a55gCv0hY_-^xy@u
z<5?UVjQ`(b&~5&#^QU*!Oi$a6D6cEj%PYE<75cfuA#orTS66Ja&z}I_Lu4_ap#6gc
zUdW!Zv?)aE0GkqPxu;y6ZuQzdp3)C7;jv2V^NuriOBSnveZuF&D^!8m^n!tdP29@}
z#=SP_jBNhV`W$yqs}dV+@99S8D>qVvSUbj-C+h|^hgNWOPO#O7xT(^2lpb^nEtST0
zG(kmIktS!NA_PV46W;<E-JbtqpTFirgHGUI#mQwn%5T1-UgJLH3+;v?4-IuraM!q7
zV;8>P(Qjl0VIZm)FtD>C1&Kr8wsr(qCncV4;-ZQE$tA#Kh<PZ`r_GmktiSmmKNCzH
z(;>^EVWRitq9uWb&L{3Kx-5C^$!2?#4piWumi~UPzowPq-h5qn+M&M4nC>KoUg!N|
z@dAe%Wo-7_Rh!3aC8$5*a22q^K7NTrs?vNhc<iDH(c8Ipd?2C<3@`{_Ju3cw+j^!N
zh!>*7o)Z8c!uSrKir8#6UxiDN0i9uA9=T?5Yt+k=14i>LYXXIbWJe@PgJoHLo^c8q
zufXjMnpq#?<Cic>4fCfhLHZ9iLMSa6d_EH)?a3<wL$8zLHEF7H1^7b-?e1c(o0i87
zTeI_ya7V{}&*F)`D~o6<W5%q%ALr1ZZa$ds?@D=Zu$}<&9)y`5BnS2`UAwXb1FGnH
zAY}C`-eSlmgM&VG`0MyYQDC%rln2aykxkrL6Wudc_yuLvSMLi|ThRQfEnC(5y`PQ`
z6Hg4UqsM-R^O=2Y9v`vE8y4LEGfVrY_?zK~sx(DCzL@bTqsW$6K;e!bj>s?9;!{J_
zZxOu7bO;XzbaV9pb+o3B;eY7<hPDv9)>S_+L%91Z@RPl%u0J`M+9pKHh^==v2w*f&
zWp}@ZaH&1Y_qpQK%-B2#D=q~6X7TD?@_R7#Dxt!9X)94Jw|mTWoli(s%Rr9){S90G
zlM%ppvqAz$=GPxPU%LUD;J>0EHkqcvu9uRrTX<6s3W|I2#^F^rjI>@yhARwfH?BUM
z_^|o1!N%9;a<$7iS^q=l857KLX%f49>G5{?&z(Bd*kAwFRfZQQmmIbfV+g27qCxka
zmlLj3%=<&(o50rko=BK>zzFIp_MpwLp+JZ=k=RE9eK@Uwipt`lThJTs;~T?Fwd=0m
zm7i!B5dQmO>S`>9<Fnj9P|Hf^M{j*{&js=NhKHt52`Pk^#cb4>@iSykjr=ar%bztT
zc2ZyHJY)7g(=T%o#)MWfOywnWp){za_7r_BW4Kc^b59y2;Hs!`eh<pXRgqgVk@$|n
zcQJ7LR;KOhPsDGG(ED~OI|4tK2PM~VDmV!2B{&{MP^Rt(^Yde*429R%*NZch8DGQJ
z59@J5bU3jD`)&fI9EF;^>eQM8UNYDgyprKdo7{8|tSA>lIlW}4rdtqV`ZQvjYnwfW
zJt5HHwZ=6OcNUB-1S(C}*mQN`ijc1e=A`f2Zqu?o5@UUj1!imb+a`vX?F$v(c44v&
zAS}AJ48!?Pe1i)5^F?By`C;VyKR=Wg)X^@QVED_ijl{V_jneFH5#f8F6C2gnFB_Xb
z!F{TO>892|?fak3^_e|4BN|w<$K-B|=TS$$4?f2)KVaSaS)kH2o@3z1=O?oAMurj#
zVV#h&^=3KJs;=J(nwYArHoleB>*G&F7Dd8>?-pmtEm5f9f;yUKGQQA5SNT*4Jyw6j
z|8d^(ObW~I?gZB8??Ez_E8#~tMF$<}v(?OM4LSZpjD=Fx`Dv(gEXq~$qOKSZYP7s(
zm(V)WVa%ARE*I-`df+I27XT<8vz(YJ1*D`=m>KFtk}fWP+@fe|#(Qmo{-+|(c4KA~
z5?(bki@6wx61NhG<H1R>EFZCLK^_;pk?4^?dUG#^#+vUYrTPP~pCr2BFz1sTaL@zO
z74(w$8<$<SFPn%Soz>fVTDF)UbG~HK@1ARdNK(B-Gui0aK`E$Iyvtiu%Wd4)sC3z^
zqGh2aMjyhQq-T^=df-Q|1ZyCiC6oN1*Q{|9_awqP>;(nN$K_8)4xdoGo%kK7YWJ<k
z&%n?f%+>0a)oR}l>kmm_v#PVduFyu$77>>6I+o&iXIaF90OBQ5n~I(>B>WoZ1QRjw
z08wgvZ5|N812w#BwjiwU;nAJ0HTkue<D9sN6GF%ev;h&wFPZ<1Xv$i=1!O2Ex{viM
z9XI=K*MEA^@VfLem9NKFoUVtyKfOqbw@!R_;n|e8n1CfFl1=kFv}=8P$Hhs--9vWe
z2&Y)Q-!}kDBO;SLu5RFw-4}N%WeVT7Z_w1mqJxH*yj57Z+*da_!08U*>&i=Zo}|YY
zjsMV!5WS8D5oRBIM7&$|)fJV-LLVhrhuw9r5>@OXGLto>uJj@^H>kU-U)!g7hgCwR
zYu4FwVS<1<^Ssj_+uT<jM#V-CS4xxfC$1>q_!f8*#N@p#rOmUCdMlw{oJf$*F}Yq)
zGScOb{1%tHvL{_9q%2&nvD~j04yg5jb0bk)+Uvi;cbt%N`5Z1e(On^VbhGC(@na~D
zHwaj>)9Ig6tr(4GE5hbx6W-mwIEWc`?IZ7n0pO5VmtK5cAwWYLBuebQ!kwm27CjUD
z4ez4oHBFIS^+&|9PdvU2m698@;{Z?W$GRZziXCIg`urF}JEgBKPFV(UybJx7)#b7h
ztZSY(bR3t<9S>g2;jeSB;1G_l;qO3Ld41VGXYG3xlRLj0FQg%!xAYjVkCYzfzFlhK
zetA=gWS+FEpIQ$uf7cNAdF7d;M3W{?MK&|lQ>#@IHFixaas_+GPoi*{=9tCOg{Cq#
zAeG5X_9-Y_*!|$e{C}!5Flnt9GwEZ&;)@{!G2#28d}}{VJtEdXw3~}To(P295%83^
zU4lj~-*mW>&lGI1N&46~6C2o}Z=2>VS#zaRu%~L2EeRi4VP!rRFB@jOh5JzODrzoJ
zDI*Uek+X{%-5vR<*OVDo{)JxD{K!-ncynvRDB+h87iM&i?CptGtQO-(xtgOrPVZN0
zn|^~I%UVLhUQ32+^euJGH{3CweK6~TwgnBMdrQd{xkNsm;XE){e>_7!IFGZ`N56e+
z=ax)etmpDci#$>*dgSB`Bf2*x{l`SLfyqDtwK(sGg(mM*zaGeT+ZX_1e9!sYxj0=+
zc5F0&I#7lI9Mv;uC62HDGgt;VtAmk=p{~o62)%6VO8P~)2C9zh6Z~xsv1s<9&7*XF
zeap>i6@Y?+mplOM1^{5skiKzOx#?C3E;)D^^JNz0y&|=Xw^EZvu#`S%;VKjc2ZAA^
z$b`*{hOlQu5+q(I>gXYQ^5j!2`u&pjw#WlrGYa%&#bC<EU$7IKF@Y&)P>}bB1a=~V
zOY8)W0st1{znt?GTlC{4N$)KB;=KilvwTwfDA4X>{MGpW*4i&V&W_l#67x!LQmOdz
zcH)x=<_GxG9OJXy@6pSEc`4x(JX6DtNENn_?o%mu?_IKrxBHT4&{1|XPyE*kz&fUh
z0gxKuG~-XY|2ecBb<tHmzA``8C4iq39mpq`OHZAQRmNI)xIgZY2%xy;j0VNiwul*B
zrr$q<vLtEK-?5EUr`?xPLhNU?A|xvZHiMlFD6AOP=!?%<<aYwjE9}p)lBjNuZ=AVh
ziL47+64pO-GLs$7258oN)ya@=PXeMy=!pYbCgvjX1HE8pE)%%Pd%ToQ4MyZv_sR3h
zt~uo*PAOJL5N&3^*)3aWRYYT-6eI?Rmk9%QDi!5!MY2Apg$KX(xBc^BN_ijRgPl$|
zWrYT0-pC(H6@;bQB|Fm8@3+<27+jB9Z2}xNu<$4E6WZJRiGBY~Xv^mK;!Jidm5Q6>
z%P<7G`!l$(+Zxi1X4j-H_FoVL!i_iL_kK%@tb{DD|7hqI9wSkC8Q!@;Qryv@gFoq~
zswRHJ7TD*5%htStY9fd*1PlpzI=1aGV@2RY*8+6P!19^MPrmx#3jEP?=bCzjOAbsu
zr5q3~+C{4VwZ|s(Z}citW^Z=<9Z?X~rG7@*4J+rR8Mz^q6CZCkxi#(aIz(lPiD{pU
z?!YGw{iKcQTg=a?(_Y~+1$H;JUC*BGv6Y3iAcd_nW0+zVYWckD&0Yw6Pl;6$dY#fC
z?|Un7oN^2{xxrMNCrZU`$Jk8JZ`{3Yq19(+3_wq)={E%*rxU;Nzh?&n8I<w=7r7VU
zOdhy8oi-f}u9^bjJ&H*UQ~IviNr~Il9_|D?Hso9Kg!$`NbapR2+v$cQh&2zYnm<gV
zc#lwK+;J0z5{VqEJzD}xc5W?Ea5{ChZ@;%8);=8Z7#{TJuXH4d-T5{RK4cPZ6+6`?
zHsc$ZQh8JXY4~O;DUZAzn`h`!^G9+7h)SzBTX@dgrtr%xDW)&x-{#wbLskMWh93a)
z7E#U7>IX!i?!*^)b+nSZ^y_TSdl9Jqb87K%WyGOInl@c<7Y<&sKEcK#{j`^kJEEaK
zFP^B7g@NNt6n*!tb$){@AR|4~emIJa>2rMnJhJp}XC&tC<7)uv1`w)p&&2=7(i2SF
zm=Zk5vX66l*u(BM@m#T#xk#gOp^rAGHMGFwabN>5>|j0w*1-l|XsNgc<lD|3+({d=
zY1l;fK^JH`->OwUeugM9=vu=hfXTR90>!>Wqc)DTM+WVmpenJiMSgBu1wvMGb_}B4
z8@X-B1*AV(u4(1OZ2u<?xp$xxAM~JLiRt0y=xY9WgQm=5{5j<XgZ?MR!%x1L=7AmE
z7rq)<1ll7sh)=z=q`A8KE~4Luw21qan=_7E>nZNhb3M8V|3N_O2=Jymv$`$xxq%Aj
zS>EkUSN3?_+Wn^2&rz&&;5ajBR-vd}JN*l^_6P6o%sYLrfvXxN%Jzeo3KekwmeA^S
zEX-}l(K2%b(H)rbzs6LZ-*DQUa-X!EQ#ri~d)=_CnxhE@=IT7;O2Kz>a&q5U7q<S~
zA;j??u#2i#`=y)cl`nAh7@cARFwFj6=6P`b0uZ2$!=;7N!@mYdGN_&`83!@k;5-{L
z2Q3njEiy`VT+b);Q+^uZsdQ(Id&>{S(E{%iMy|kUj}Nkylpt@*J_U=}r3~5JxRCVB
zzBiBBZjR|PH_CWO6i#<h>dX*#Ql+|j@z5IF>C0sf;5Irgp08Gt`ieg+<({VK??5N(
zySpYWpzHq=OV;|T{|;1|U6)`}M};FI`<w9p<La#f;^304(Lf-$d(bq{I0Sch4-(uR
zf)m`mY1|=b@Zj!FW5I&ELx7--Yq<T*IrGn)``q$Sd)Ka2RjX>9^v_PGPgC-Zlttl|
z%t&UaU^SE(;ub<bj9Zp&H?}3RmV6}aLF6?Yb@XMaX>I2IyB9Qnm7`WMKPtn2{mw!5
zg}i#>#O`;G;f?vr!zH!8lc`D_PR!relP*tZGTUz(4=Hz_FE(%+^Ldr)v({%FeM*L}
zPfo_)+j=zlszd(Zw|qEVmtM;wVkat%o(;#hF3Om#lJKo))uFbvZfxM36`q~lNSr9S
zqd-7D4~GA=v33;@jxcSXgb{S%CCZ`pSvS+z>TmaW4M(2emA5I|4{j}dkM8s^_~mKh
zmoG^%tlg2<r<^00o_%RkeH0}DAG(Ls^B7b&C^R%Q68!Zi8w`a!e-$7sparAj$;uR}
zd371hI<eh({CMB6266XR5JRDdqs>Q13BvsZ&xuf}C=I0wu*FJVRx68Erx8&+j*73@
zkY<oJgRLyrzI75GIc7Ji;9Sh)Y&s-`{p`1dSX>LXQ)?Ii)7~n<STT`w5I<O-SlZ8p
zFF4m$5RByubV-RigR$Z$D=rHex1>-IcX5HOv%5~LMeg4o@J2|XEj)8lq+sBj)VD)L
zV~BqZg+pT=aS5N$$I;-?)8|PluwU_r{3Vx2;!c?}Anlt)k>3hv5_*k)r$GwXz{P+1
zNsPmWa?!|)33m&y_`+5mHcV8|B-H?AR0$u;JYf|#^?I|cZ=Im({*mzk+jSbQ_cXM@
z4lhBzZ^+yJxl$U1K6qYUOnPU2nYCT(zpSx@jbOC{_WI5?dSbNPf=DFb<6`BE&eE8D
z-{Ho4sF>M*R>Bxo&VZ{bdgnON@`36|hA~(gU_#EDq@fVPtjO>f5J`x)X^&iJ4hZl0
z62D_jj^{Tn8i(ma_!@66Z&AGr^__=%2A293vw~{xKPeIYkO6;o+D`ua874LTX(?KX
za*AA02o%52Jx=2}r9phw2c2wzZg=JF&Rk@*awQa!D+Kjbd*73Z%MjiD8ombtHFoFN
zPHjj#%x*``Z#E%r7&T^Yqm$v436oc!;P2u+aC~$2F-Fqa>vGuS68T0U9z9|}4~p9n
zM<0UH%&jwjaDRXW1Mon@rL~2uq{ih~^2<UZ%pjFQa0F4>-56gn{&h$GZK9F^JSJ-K
z=WR5km<fn6Sx?vwl)>PLtXEaVp#Pj=HTt*0`-*y{F9tuAVHQTjt}O_rUE%ncQ{<@n
zBR#i<XJj}}9f<-o8$g{V1LnbZvVdfMbSkOBXiX@P9$Wxm6()(Y5pSl)6V|E=MB`Gy
znTz(3%Nun~N<eHirnUHNWT(lNBdVe2yF(+=29yGkafjU5$AZCUqde%t?-G9kl`smS
zrZU6_7e7wPmyXI9`rZ6nElWfYyW|jxs7*UYT+S=k5YE3l4b0aPWp)cH*?STkHM@=6
zZc1P7Jjq3})uD}2O+CN$uB#s@$;7T%q8ZaKYMQo#nLq~to)MP~UaCsszdT1_YZQ4z
zx&*l=iRO!wMr>WiAxR!Y_8GuUGSK67Ua8wF>hr*$`AJS|Gm37v%8dywIw<PhZ^~)k
zW{vw7D|3*1|H)y78Gu~|chf}5C4>k6{Ht>Rmll}Hu`|j;N77dHxOLKY8~?_jI83O;
z9$qU%5XzYLAxCjr{gq)ujyb$#F}hEO4ROba??eSpnz;vqA~I47pZ{yj`p%zEjwL{n
zHGFaR+KnZRkqI1@XhpFCupx%vL_%rc*ULY{wcgLyK#?dvd*V!Jz}~EjRo^9mmw%l3
zn+xBuM}J5BEnd>rq|gS{M6p9dD@$P$L+}HRPI}ZaB>m8Ie=GpK@}b+lec7GOB6s;}
z>ZS`=oyEkE<H&;h3*!EzZvJZyrK}j<qHtVXK+6IOv(-*JlI}?HcXtXc{EP2R)$l*Q
zz85_wlVb1(cMJj9CHlPZ3ZwRYk7HEX7$|9e<Q*uQbkSA&lEwGCcm{$&t9|sQym4Ch
zb=)U1Nk}Vn8YD_8MbiXRTRdIh8qRjUk)leCOrh!+pfZB%a-$dXa4|*lop<$h$NaZe
z$7%y53uvXV0suVt#Y=INm8{Ym6N-<=g4u-`-xV`Ggu6T`{Ocr0DPzcXb~y#gx}o6>
zxyRG*VGmzTYA>B^BLB^qGja5NT?)}a*>~IV1(hsOVQ<$whEYU3eurUC<|*OGVYijO
zik^=JZ*zI=IyM&v)YC~c4ROD+#mVtt!GT#s@t5A6;NOSO-3bqb98=E=3Z<~J%D*4s
z-XQ?h-4i)}zFxTkw5zZqQOO#5e8oG>{V}A6&zoTXgJ`##7u}yRu+koMsGv~40wFCe
zXv#JcU7bcPC$wJ~jRnX$Q+iJrzM}$$;9ax*C8%PMqKeyhRbnLMLV?<4ZmC$d6gyB>
z31jsz*+hWFFq+fOf@@|G>DKT`+}2)EpQ^p^1WDF&M<CO}E<|@jtDkn5WRphcC2~QT
z#=5NJaDs)QmT!ck$s1E^BNa&aJ0o{494utp`K~|YDP?4JEgzOei8V(mY|&S9Q4A@z
zSm`yu;z~SqZS@JTemsJu-1i#}9qyndN-ORu)A_n1uK_F3N#|iL*pF^jfBLOa4G~5B
z0ottY>{!J(^;qJeY^HWe`U6F!@2$|I(SQ4!i6a6{hTINl4?62V!40(I>vO9y&hA2a
zg5dwXSuJJ9j@`}+xFRtZHqAMnsPf2BfW1O&)FyGFD){+2&t%C9!W#R-&K%Lk>sb)v
zrr6z=4F<AOF|sIy6e|i1TOY!!UjHhFFagw`jm)fa?z7-J)L~;8gPuG=IMP5$FaN2)
zOoMM`PH$MYiP(j>V=O#=N?}dS4ZeJ`r!)J(U~uw^Ul;{PQ}1$8;rCwf=WV8s)oTEL
zL7MgN1zuH!ApcN&q;NAQdG1amW9gDB0bJ`%v7LU>k=QlyM=jK&<MXT$^QklKt>ssY
z)^B&e01(SbxTXAXJa~R~SSU~FO~TXR1=NB1B_$<W{hxRoH#(ziQsP;aJZUa-&;>nC
zdN;a!)nI~`2!=SRPV4RAW9e*#EiFWs_eE0&k`4|m&5r9}7X4;oI4=*Tk$5?MeNtAV
zPEc+x1;mV<Q`z0UDKlWT*`XwE`RdU3-`L=vI|}prgfa0%xT3j~FzC-*mP3-Lo#8w~
zX;6FxMGwwL_)EnO{ZC5AC@ioqGgAbU@JBca#So_*+`Zt(7*}DL=|f_DSxmFZl!)u@
zFF%nTJeh$s=)1Xy2hMQWnmJK6`dmc;XHR`FhJ=UStPGt=RGVuT<z<8#PTAnEy*GG^
z#UzO52sM8vZUR~JENNWO>y+?IeMS0Xzeg*5OOxiwVn>#?V7>XA51ebAPGp_9)$gyS
zX=xCAlTI`_WQbmi*4y;LZ{gzz@IT;E=T!yxp93%Xi8u!Qo#*W%8?5lMF{+%kxD@XS
z{{aP-fZA%QoxVPCgZ8f|d488DkU}6CCh2#b0)N`e#q&GT586xMC8pUtA#dFCuDjeQ
z)-+oSzmLR_-rhIh=;&Az`*lNnHSe!q@vSGb`?8$6Z3Db4vXOsr#Dj(s<q#$&PDUF4
zgS=n{6T*Qzew^u(D+pzAKO}oU!0?DS94X^m<3#)#9#TiM<l~}^CLw|)ZP}IP2iOv5
z!1Y21mJp))MENxnjvMZTSuua@+yWqoR6P^1^Ui@@<zs&aBY8j%LyQe$<lB8C1OrS2
zhL6!p%)#LcE-xVIBOBU}*6?O5YPH!*(cgar6cv)kkTp*O1`*@OMz!e}Lz|v+oXr^t
zq^++pagT@%c-V%L3+484ZO|S1zOU5$I%v(<STXX-3Bc>KL(HD=w*1=9_Mtb_I4)4$
zS$oqiV(s@^xwQFS6+!S<B*bS3zIytG%;j}nf7cDKlBP?*aKklMb<o7V6`)hhlw>A~
z`1OcQw<w?rcDp-KDoGP{nhlg51{EX<ykRm<N^`Zzp19I9X@CM3TiYK|0GN<Dk6Dcr
z?pW)hkuQe3ySvPx|I=xU^4B^kJVlE-(4aabX=km?tu^3906zFl_f3^k<~}H&S>h^{
zNm~h_9(hRpz+N9sBlxe{e;(f;+zehgC|xx(>P{9?%fPwIu4<q^E?spqrvNh=>E}}P
zJcqzcoI#u(ZRs-a*?E$b-gG=K9jZ-CU`xeq`W8}Fv~%z@MD!@5*Vt34?=2ooy(T#R
z$$SadbvxXSq9gXhiTT$$T5SD-tARf+mrc_QDPqAv$Zg7rEEfWP*OVSRFSmK@QR{4K
z`>WwABft$v*-+xQ8Z(Vi9)mN{*gJv0n5B<@-=#<55`*0PY~6N4UNquf`A_L?cb!ks
zmh|0;Sv!WA#cnm&TM~Noa#MnkJMwBIg`$N8^CCO;8TN)AVbV`1Ne6-9*A6non;l^L
zuf$QaJ^98^M=!m+aNl9}rA~2;C>-d1buzl%KR|~I{#b!VrC1$^+geZn-{Eokj}joY
zcx-GeiJErU{zMk9`N3q)P((p}J#5l&O)N05r!KXuyqsgY4>NMW3){HMXI=-!3TYf2
zr|z#uKRrF=lvGxZ#ep>x184$X{u@7C0ZdAXf9V*-)SRw@p+8#N7CKipqOsUEw|56j
z5HiSzJ-B|{Ksw9*Kom?&5v0<f90IN2&=gl0tjIM?GUnT@pK|cpLrJXy*<w#7WH0!!
zkvq0))fa^#Co<%PiC>QNVL)Gq0j@5``4d?+Cij-yX|z(VPMANzR3_x>et^;N6Syum
z>J;2r3{*4xg*Q}PUuZ+w5zHz>aHrz&;akj1Hb9|gM;y;V=;Lx|yECW4GeKp`q!hL2
zk<XuJEb3mPu%2UJ8~LCal5n*28xMSK>aH7IU~5M>bMjgRd?V+-cL5Yv2gaPdp@z`O
zCYaU>YOj095T;XSmH3CVK_~;y2N)M!{&_kRf_5WCpSNeT?~chb9Nq}cELh>JBH`F|
zbaceZ)*=tm($Zd&GSW0OFjHF`?^P%3NXkKKl^S4zi(Fh>84prRsr2S`sd6;92|iK?
zX;55t<}10c(BQX7zvkvFHWd8<0?~B!<J5`6u%pB_^{xXWZvhO(>c@V<mV%FOlnm;{
zEfgZ8Wd)rKn_*EuwMsoHUiX}>j;*7%cMbxnc%&|`qn<@Z0;+g1h_Y%IT9OcGC`0#L
zki#W_3>U6d(I9o)F#L<wUz%$DWu}xWo>=*%fe0^3X1tjNO~gGFY%C$GN53|c_U$s<
z>&cj+ny!~!F>4M0@vsIDq4M*_H6?Eq&3j2lGOLh|(9{4gdI~Iy%R>drY1P#zRTA50
z-WaZK&P4H`S*?4+uf?@lMV`6~ANqpAN5r(oe-;O@L`#Z=6wqw93!yMACLPy|sEk~(
ztVnYaISu5Nm;Tao>Fum3UaYN)-@*^j#>Pk_JgF86dn_OXQ|hAAwPR1+e22`A)2Wxy
zeG>Yce>~-4ecim=BW-}$D!C>q&Dhpsu9rJ<9KY}CIDM@q!i2j-$Q;t(!6XEman#jQ
z4hM?|K}~}sJyLRK(*wXK>sN1ti+A$_*-z;t;6(HAtxpP%qKh&c?{p@$<}6t#;Ep>b
zv$6NGA;-mrcu%MMtjEA4ogi>&?em+TgJaO$VdbLQm^&|_ghQjc@7UAY;2<JXZHU2G
zh{VuXcxN`*Pb!Hz0|Z^^Ka`Y|vTACHIO*$-Ee{GRHV`w3q3EePWTX1EV)}Y!Mf;C*
z>WX#PRT?PF)Nsr3RpNK2mIyV`dg}1?Y@)5kY)9}-uC%o=2$kI{K8DrO`sx1lYvnuG
zxeg9Po*nNl1XSDJA<0}oQ+bxW|I*?NPdPeC*n+x~^iq1skab>~l<ZCyIaJ1WQHUjG
z1NXugwoAA;)bD*+2Km%Uq=uzXhcoBSa?a!ptTmyZ^*%k5gzv^bJeagi(X@`K2QuC9
z*Y?D~|NcrIZ(JWBND05tZGXCYmFelA#I%TudpZ;dl&dfyfNr%%*M8v@X=ZIqIT8DX
z*Pqy){);~VDIH05TjI5}l{WzEE4$35l&Hvw*IUns>hC{nNO@8nhpWM%*PE=qwR$hl
zMF>_mO+3I>PM2s*A{Khg-p`tFufa}$S@)dLQxQu|Xz9r9SAeZAQrv3#Hro$L$5rvY
zX3F5MqFebzsRM0zCIu4@V}~x|C;~kg0P9UIGmY9y?I@<Erj97x*I<^YMIKNUzDbGl
zOSGkRo!;LuwBJz6c`0NlsE;{5K8Edb38?`=IO3%Q6mUD26Z-+gV|=<1N)7nZ9{4|u
zo7EPyn@wpwbBmW`s@!(56LuAD&Anl3*o-VU(*SB2Fk9=<QoYna8|ggNt=Xq+qCHgl
z-|9JhHgq~Fw0uqN6PQXA(VvW}^!MjyXd`AY7$08ksjtFRdxzXP=uSczz2lEMnAET#
zc^q}%$unK3KAC>aYstTA#lkWsK$PgOGg-0U0P{tb{Db8yCwV-8WQ1#B$%?I{LniqX
zwPVW4th1H(3xvk}1<G8FrMm59O(@C&-R3<G*~6Us2xr8cEJ<$Mbt?q+O8rxk94<wY
zC1+k8N336KS4gcN!gV?_akrpW{r>7;Re7>$-$w`Bsqo73)G=Qg81Sd*g@NsR(erDq
zSx(@nhoZ};n95tO>DwZbo4<sumqsXh;i8lhA)_a*56m*aNN0ybJTIRUKD{e{C7R)B
zy>6@kS!{|9N;vCZ&p<1ZVCFHNvB0H%_cbBpaXZOKyk;;<?Pmw^>LLnVAm#W+A01};
z6OH8BtNGIrD&dX30KuP9o{`Hz(jy&9X*>E#q_}$=BV!LO%j}Jw8M2axMNCp+kM{gM
zMx!D=hEWiBb(KSeN}8Nxag}Qt{`GJ)qKi?wyo@-5FtcMM306mo+5kQa<Ai8$l08{X
z*6S)W6y3}9!rzIu78Df$UpDCcQ*V+_ljM%7t68rCXjy;eeii&0Kzs2K-nDatDvcF(
z%swAXZl=wgilk9s8r2K@aZ7Hxy!+|CPbUS~P(4>PJZs@i^{7KlbUMd76Ei>5Kwl_N
zIRh1vgRN$yw?^K<ClVtXJ2hC=Ws(yO>dH!^qoz`i0kyIIO{A^?<P2=GO>FC%lB&cn
zLx(<Lo?D(0=g95SovMY|iYD$hzHU3>%S!MF8Ji8D6?@E0+i^{13CWj30Qeo=Yl3_i
zy5vS^1PknnseBV`oU=Qd$yE=J*{gpV_M?_;Qlb!>oUxL!ay_UCOWmHUMw+%r_hX4M
z?{;UFN{JP*vTWh;Os|0gN;4g+)ahz_3<C=nMkmYyA*b8^GR!JgJ45XNSw+<7CV&wF
z{7lpmc}dRY5zXa(2Lqu~q<<0VWCz{0gCOSc7PrL;8(?-b0s?&vQ#xfW%EJ7x?)8Qr
zbx3X~ajM9>yEj+v&ujsL7C+qdi_~n&@yPP~eb?&ScAO~bMgl<;=rG=QEqhwn8!2GN
z#He#Z4a=ZxlU8)Ka28Ou?GG3Da6+Xsn!tW(X8umGdBSIX-d3ttH0M>83VRLqg_Y?i
zLjU+8(8S%(42POmdrv3Te+_qW;j;Ot-N^u6>y>#yvOa!H1IVHB=)$64!h%=(XdmUA
z0OC4o*!Q!eh25p>>=;5;b14@p{1OZub_IZGr&}9_;Wd50alb>gHerv8jiATe=M0b;
zKYRltVa>jwv;2bL?U$pxeFLdmOW5DEo6+7L(=PWCl+QiyK;sWN#8Eo}WC#_*T$K51
zn*`#|2ZP4UZL>+^c7e%j`x$GFNym>qa}mKPq-QZp^h5m9*taH5nM4E>NRH0!9+P;*
zulH1?=^m?^dwm|5O^vMymSB_0VllB>2a=+mv|fgzn!#OlaBlL5zswoa^Ldl+Co{I-
z#cf%}&HiW6eYu0APWHq>>zDKGl@Ss?2ghrruUkr+PsCtMGpd!y=3e)?@Na53<>E^k
zVflg*o4ao^ud?I)<$=at>h-_gKYEHIluYF~1e~>~cu+V}lDSVfYksEI?ZALmXI-dV
z_b&vZ9qH$N;GBzJ`{;D-z8O)Nt%{er*r(foc>9Jrh7+Bj)Fk_$EtrtDRu5%_yAYw`
zr~95lsyj9A7*;+_UPVpKYj!QuF0a!@j0do(!|$OUik?O(?H!}^UJSwVVLRI&KpzVT
zb%&aB$APq6XXwoqLa*e6IpXJ-LYY15qALrDwWHs#-W<n2nc*!w!k|$TrQ%%N*Dy0Q
zYPy<sCpJ&T!%M>Cpp(T*!4Ewsm)-UC>e4%d2$k+t#Bj@b#c~LB*+}vQM*M8LM<Rmb
zH|0BRiNms3W=7esjBa?m^!P2-E58i1Lt%<vj*LuZ2n8FJx^+3$1Z+#Nhq+Y5q9+Yu
z8c<So9nb|%6rL`3uyQtz{?QlFan1BsUk2+{Rt7JRT>e*DhyeC3@6<=y@!@GQz^=!$
zcp=vOyz~Vp!^TY_{f1@I&&eNL8}F?ws0u-^y}zZ)m_t~K;lTbr{?{hEBY#<@2LQOT
z0Gwn=*}GFDhV|ER{k)~m^?B2Ok~G=TO4E6%B?*)Q4hE{eD>e!e?<X^8v<g5;3U`c$
zH^4+LBToc#UZmUK9i;gTMzfNV?vq4iujM8=hja?knwSB>Vkq{V>_R$S<kLf}2uBR3
z-EK)yCpM#_SxbjqG0*E*Tjk3bQ{CEIKlWnH0vSldP<m}l*{cNEc2I3UE0{o$<?<Y8
zLAh0GtQ)x9ohARAto-`vYRd%H7EGORJU+ka!L`6z+I3XA<M|_ai;0MbBQJGArzBk_
zky4F>Zg!-TLj^2_qTfAmY0d-)`b<+UL$Qs6<9#c%a2I{UcnmmZt6A`2(OTDw$JIfB
zZ@4o*?z(BmJuV#6gjbXnyE`rhRNPc^1*dMb&^rE_0PPg&lWy&_eamk4cRs>=7cmSy
z-{e;|9_0&o^|orSq34+%W|~k;?-4)|YNZst_ja$oS<$apcGcAw3Ey-;*{$G)!&81%
znZh5kRZjeV@B3}^ETX`+a|1{E38pR_L*tmIRLGkvE|knmNa(F{$9j;6rZ*W;%Jf2C
zSXR0ZMfkcIAVeu2L^o)<oBXrb_Y<j|8Gh$mq>9{uXyu+@rqEKC@`Jb8q^*5-);Ptm
z%}x8mX-S5Bnpb2_avTSVv#PH<FC}rqY|1@`#BfLQe64St9R!eHON5=t{V<Mh(c}!D
zkdMBcf0*?~^cL~X>GnmL{4?Rqeag{2*z7#mPx!-)0ahWQ^1oKNojsPJAv_L0UaTQ~
zHO2AL*Vk9RPHQYgZVwF&m6=NwEW;INmZ)A*0}VR~7RJ!7=t!C4_|lr@c%5+b@Vu{E
zwxh}{EieBmCG=AWAQL%YiWkeAm{1=hAX6b{5z9Sgb}s94;8_=C=U)*F^RI>4_Y1O%
z;xIW`xYHJ*<dTJ^_sBX=jW_Kx$293+T#`M{jtfmia*iF-pTpCE9)D0-H_r-6zhm6Q
z&|rGE6qfT@1UN~_=dx&3UGp4XYUlRaE$3<HLM|(V*VbGv`RtL~`QKC(8>P%B`ho47
zveR&QDCX!QcKjx`57xN~<SuYr(qq%!cuWp^dmD_23kfAceEnUYSEq43)M#!&p+OXz
zShh0j!<6v*iZY1nrYmw`)+KhJ#(aQIET{$Fy-)e@o6Uf;-y7bD$?v|M<mOSPXIbbn
zZjm45p{)_{Zolwka7xoHy!8m<#Y9L#S+YWeH8HXlF?fZG$s5yak)lo69K=fQ2wivI
z${Bm*Z1DIc`7QD$M8);4cM{z?lh~{9s!|Xionj5hkfOmtPZM@Rw-4>pG0a~SQ);B%
zY___X4^?Q}QzD$@2zrit*<P=#=uu-we`4;x7>p)z+5bs!vfMBXg4~_0OX}-qMWGTt
zq2h$I^l2A>EOW08rbv&$h8-RxIBhL0i{qSJTw&C*aT%6!FaHz_GDzW$iL+Mc1X5u&
zUsxVnNfSK3WUY7&%UF$C@P?at3w*uMdpc)h--Rfs3_=?k7V8R|*Fcc^zZ_NNa!hSR
zNA<h{a1`|=Bj4!<Cw4D&2=J8Ep9#M6rHy`%fUn=Q9M1g9;MY512IZL?>phz2Rgh3I
za#Pbh%SRm4eC%F4JTYI>OVdq&6?M>Ps3?Y9eboTbV{f^=emromz3&c*KYPKYbcZo>
zJP56Q)SU&ToEx`8<MPbhphiN5ub+i9?ob)|;-TWXO@3X5{Afddn?JF7o)ZrCjvR6P
zuAHS9w}r1+yzT-qU=1U=>{srj0}lKcRlvFjW@a232q}7N`HC@{Aa<k_&)FdWwfb?P
zf2Mf%<BbAVp|C6*_^+WOJd=O!>HRiV;5`@b<1yKN!sK-W!I-jXVjA5o7Oom|t{E-{
zbI5tIV!BdTofOgeMi;57=u0E?I<?FMCvkXa=-2c#oV*<!e1j63THlU?-^mjD6(f8j
zS4t;XwQkOG!tHp0g_;X?nj!V$vukVi_Ao6`mqDQ9f?^t*k!`f@9bkLWE~PgFMNX>c
zWEVG+Esf<LBtu6<p?<0V!N2Kb(P!7Ws->*@)gIne!|0uS5z~Q2Me&Gxj==)IcVRa(
znV8#BeDxuI`=Pmj!dR3&PiVqa=%1vEMp5W>)0W-x8^d@4S}Ol$16jE|mV;-#w8-AZ
zar3VvM2IFxSQeDwo1oR;1v9qW6fc}Y8$UY$1{NZj;=ATOQuzqFTl_*Y9z^24BiAho
z2L_rMKDprKZ;swD<|eE33BkUBe(tx_FY+vC)FvqHX2RR`oG4WO;OH((`WtOi*-;Ip
z`qs_ocNjyDzXX@VqxSIc)=|3S3IhvB2Q*-dpE5brhA1M_pGwYh(7r_V8zfBuGnFz#
z^z9{->H0SVvt|*q#?WNT&@pAu1&?q0b)WE4S&8bY-;R7W7H7>B^JqlM%q6XL>0CdS
z^@u?^=a64|!C@6!{Vl&DbKuVbU+@J?8nS1X6yV!721A+q5(Y^|Q8{5!*I@E6P`Bs#
z2DcI|ybgjv-S-4MQ4%m1tkf?c-|KqyTN&njHMO8lT%1m~1C=XDJCu5W(WsC*Bu+vo
zfz6=R1h*Ab=68Q#N-d=b+ZC7*MYJ6chD5(ntI%me(4;YHQZ8g_7W=0oiJd*!3`DNf
zO4QjJwagKcCbR-xPt03_=rmfD6Zu5g!*|yuiND))=Ik<oL&6osaz+0XZ+%-jP4lDu
zOk?B<anlPT=+TzK+Og}wOC<x+<8G3vLcLg}h^Gv!l~uFN=b&DU!<yz|+RULEjX$uP
zs+W!}F6$(&OF=^%ZJ&8&TxtMy^M9fr^gt*c>L!)Qn&uj#9+<0JE<TArX%l{`=8tG7
ze8DGrXWn&R`AXON@g66sQSwsYS%#iR{`8)dh6i6O<<hKr+oz_23YYFY8q&b40|;Rt
zULDxS2etIh!)6cjKn|S~Qqf>PSKPM50E@`>L;Y-V5uS+gF2xvTl|D7Sv1F86U?!Jw
zi4$>sP9uHrKA?660BuKEPEJNtTY*)QFIIbAR%N`?DW#$|lAwJi*tE3cVf@E$(ht+S
zeDB^<n&L##`iPxL$Rh-U`mj1?86}``<bq0E_2bDZr4vH9%G6gQ6|lun|HGGny>axx
zsUN5gd|dsBi)6RYg?lLXV;KJ~It76JHa}K3y6?XF?7|=c)6>Py*#x3mX2p;6K&Dx(
zc1_v~D!5~v6m1;${ici%7tX@4^EluUe{Q6w-UR_%#^c8lJ{69|u1Ok?beW_Wz&nwn
z9Eq`0cCu>pt^IbY+jRN8-v`liZ2NuC@VZBB6rs3YBBzfsLbQB(Pq-fGqTzpkIA))|
zAhgJ^nL3v*J_BhP#B$I1gKwwx8`W+5Z|jAZjNQ=nGcV4fn~pXf_#TZP*O@0|OPahx
zogIXKmhEU+48MxZw5WdYJ~AwF{F`(xY98hij}vcL`1YF4%6QxLY98w@ZNN_`O6@1-
z;Ga}085kd=_6!+Tx?i#*!SSFi_pFwdT7N+80Pv0F!x}38k7S}?LV%n9hZ<*)R$Mf9
zbvdSD{q23n4}?eG$cqC!mlOoQB~4xM5Gs(=D7>Pkq6i^HOuRFdR3vHbY<}fUNs?|h
znMplk_YCJdikbnM`Y-71p9VnYb(yV0pj}O&SQ@<boPDnJLR<79&cn>>!k8$i5ZQtC
z?+(=NbQ?=pM65$zBJpQL`D0Or!D&j4x4})|Feqn_tsOC$|K%Bz$Wqd?@$JD=V3hB4
zI{P=`{w)i(a!HJA5h>qOW)=+zWM5QOHnxR!TVZr&%mfA`S?{+F^a`05)d-W{v@9Oa
zKhd1Yc(h_Ypg$1;8{SfbPDPrBA@td)%0QCb!q%TL+Gz?VU9j$*2VMi|&z}f7Aey?f
z{yN2gt+*uacqJ!)USFf*r^qf5dy34-@&nT=p;5l3EH7Lifpa@Lm|lEESNPYL--=?V
zz~72WrN)W~S`F)AgKA;M$Jyh3Xm|O;vA2C{em*T&1Uxd7V6Jf+$RB_RicFslcnFCE
zo%A+-MY(dO<lsA_SvB&YV<g5)V=A9&;Ep`FQ}*ZclJ@TbN=KG{(G@ibN>^T)8Sm_G
zKdET5B#n2~R9>NSWP$VS!B|hbt-`rdq~Yd7$5oiEwn!%CX1Pcdx9OM`?c+XQV)fi=
zV9N5H%2wA1%T8UiGBg_oD++n1Z#r2;dD2fq#<r!LPRMZA<j>;_ha(L|hkng{tfI$l
z<@6!=p%fAYE%&Aj<H2`LxA383?yQUyc6C|Vt@FT(*9+UW<%F+oNV}yHBsMgdN7ok#
zUGoyWG}lgyR+*`3-K6POG<@dg$hl^*qBM<9$$C)Ixj%WN{LVg+E49fK{DA$bBkJMT
zx824C>0l+1r<X#jJmHCxyZCQ^`+N=rrgs0#p8p?u3t?VR9z3)<g7LY_+&9x^B-l8o
zBdUU2ctnFHO-i@s3<lDQb&^>A);Gz(UW442Aa@<`J_L;$ZjQt3{w_;GDD9NK_!C(H
z_L_u?PPeGRwrob!aknw0)Pd%EVRjOZp^zQdK=d3x(LreXx{Cp2+^&Y6`U%V3_XsUQ
zd0_V!%r>>DG7A=kEqP>}m7rOprSv^_?ZFRoAN7{{?w%NPhd7&z4@A5u(veiQ|9qlT
z@eGvs-kR4V>0toP9=z#Ov|(Pc_lwJlZWbQ>bJ*E{q9b~ZzZJV#JFDEYvtH{R;_M_C
z@%2u*Xmt|ce@FHL7Gwa*lWxd_#2p-Ud+=4XINSUd>LAWE5bCh<uR&PA2zIyTt#j0q
z;g$MtSKf+(W!t7STZ2qb%~V@A`N>fy8(ls`L{6TW$ShE<mkH{sGPc-phSsepZ8;_w
zC^XqXpqc4OGpk0&V!G^-BBQLj%rXTd-R9W*)cKT60^*E}At%R=br9M>A~Ez!{W~by
zLpnHn%_O4m-HS1KI9MIas2uHk*p0I*u<Px!-!37Rh3=atT*bzKC4oae+6!s;`dv9q
zm%fO8KhT>FCamw4UV>o%Vr1`r;*389v<iZSpjl8cY-VbsXE?XMW_vlp$<+XtpwI5z
zkgu{-{gU2Vyno&XyYk?pbpQgYgSp$&mYq#;jWUygJ|^I^5n6|6*w<m{M||r<McPEi
zo{+iJ9&<n^s+UL4kd&tytXZ#afa!dpp?C`#CJ;nE{qTG7oxqJ9O)cvwP>cGI&X5k~
z&FUcnuXezHyt&Q&>pGzX%$o@%ln->75Eeq#A)(CsD-(nCW<A5<UIL*|9bCymJmU9R
zkP*!_5KN3l)Z$k?J4)F)<d5SWTe4B*Im@V0*g8OlWKm6XL;KI*7mN=lCXl+&G=e9E
z&KSPtT~_J64XJnJ*BssaX%H9iDCNg?uk766!cj8TcpBn5g9|po(_y`c1jZ4?Jjxb5
zl=5|mLUYUscf%doG%lJ}`Ug)O9s;M~?G>V5#LE#%BC*w@W5kLc`6F!;pn<y~r)~R9
zI#{c0f+p5B1(C5$^--trv-S2(w@qi#YJ2CHQNlXpK+DBr72gLlYxb?I3-{m-^@Y7}
zgqaKRLzIZclW39jXO`q8f)AwRQje1)MNT;-+=JLBMxqBl{KTl5eF~;nK8ex?^W(rA
znBR0J>i>9YN^d{1PM<IUzNbB~Ld`2+9PMWH?$LSQk$0xDdE`LcK^}rU>f_z=aZ(^1
zSH~7U?JMwj`#Tl0<dTCdtpg(<2D=*1$sBd$t&){zf*JH-JFKoKUlH-~$o+ZxQ+Cu4
z$CBQOv{2T7JL;e+r-1J78>mb&Xbj^6QSv7HoDPhN^#*P%u3u7oW|vtus%A~<J(BPT
zd(`uMRVc>wut4IZCAOmS&d)7|#(3jl8^2zfzAp^R;&rX4X67HvT%_|O&TrtLh+Kn}
zx+T7txy(z?ID8f+1p-;Ty@%Vbd|8+<azyOf96crb2>YlZ7KdSJBKfhnqZx5#p9-JC
zaf}W#pg{(IN}|GPkqqusdBGt02$ktSaTeA{3=10D?wxE`5NST%LiEBE-F4r-X{I3S
zalu;s8C_e|4BtUop-FFqY>*?1QmGEFHRlw*7)5mS#U3^O#fdu{isC>gQef;7v~w<v
zIutmMGf41AXlxx;Clq{9u|e!?j;>Gbc(Pxc**&;vrFj_u9LLj*^5I-pK>L=k-cEYc
zYY5C#iN^IJhKqWWhU*;ZT=vLMR_=}2g?H!NdF)^TV^0>-nRKKdw07V}tL|!U9+zG4
z?mi5i15Ow?0MP07bTv{(vrBHEMFZ4v_!`qwbmiVuals`X*vrGfg_gY1lmYSB_=@@?
zD-TBI;DF=;)&nwc@#ObpkP`SFc;(1mIa_)B5p&<x%*5?j@&O3K|5S<eiTG=bUSq6K
z3w`SfXn2oYCfE61PaIZK_-}}^j4W5seonrDLdUih(9iUT)YJE3GF%@&?&?00jl91>
z@Y|NvT>d{ma6u%PL_Wf4FQWxawj;~v59C;qZ@T+}pU|^O+#lJP-O8RDlCCzQO(O5-
z_A&0SCLtX?g|W+^OYHPel{7`llOb7l**6LZn=UgebK<04TsLE|EKUZ?o<K=qaD`;7
zSM}e|oQllC;jYHq0z>D&T3Sho9#!%k_5{f8xkJuA;%)Oge>r?l)3#nR<6y%g+FRzS
zTy{&p;YK<o(*Fmj6lhv{UYiWK5a(m!t;2K4JT$Y|$(|gw*?}u^?2LXsbsM3@lUr}I
z5sEW(SK^a<waHpVvwp!;QP?!A*l4Q)sT3n<g$02jOd*Cu<^MswaJ03!2s8=9ePy{-
z+?MwXeWyVFc~ue)ueK`EK$jg3@JnaD+frRm+q(~XpKM?x3zHX|3{3nY0z?)Xsihp&
zr%Xt7CeFY?WO8FlzTEiXj<GrdMTxL9Yu2!hKxCeW%1)_++GtAT0pBU1o=#(!;nMgW
z%e648ImGqTGm{Qv1t8Ud#sCC4KYkXeFrvY4^ve~az?6Bb9r@l$hUn>MZ7jUY)Sht4
z1CxvYAz8tw3#=gh%Um>gYDTo!QW_(-+8-nN2Yqw;8F%6+ZqA8meaBP4-~t7oMpJht
zUa*9dDb~l`e01hBLaSbjI@p@`SS+#bF--TFh>+XQyc=Te_DIxV<L%Li<V}Js1kbpn
z_j?T_OMc>Z!!x2bzQmwM>v^0{iC**EQPm0mQw#Z@%hjungKaw0&b6wg?+A$42f$!W
z^R3bI;egv=tjdmRxA!>mVA9FtWr9Ju`;1R2jDukW-+;Ihf}p9>9ph9?>B8wi3lZ6=
zXcB)m`GT`?lHHrCCPSpbm$v6YWFv`VVgYUXN(fVIiq@`+P8>F`JUPbyX1wEPrmc45
zxmDr*;r>3SN$L1=8lUg-rT4AprS2F^0__wIks5XR%Rk%)yH=5zkhh<wOq|QH@^1Ws
zR0TGB+k$zqo#zHJ<DK)K(HGxMvA1`<_vK%oZT!BZ)*a8Sq))DNZiqOo)2cVNViR-F
z(bd2=Dn1b)?ibnRYs7PY)y6FJ)D26~nB=kp@kY_qEM!*`TkmsCPw30@KaQ6<0bB4A
zm%3g^IA75NHA*XIEBD7e3EX{XYeE0yw^A8;|65J^Ukm=Bqe?deOoEVU7VtKO*T7zY
z@QRnh3#^!}>r>WFcPI}d08WN1z2+~*47Voi-t{3+q*$S%oS(@OrTdUOvje=0ZC8-{
zramEv7~>6l>#4=ixX#5~+7t>8%5jC$2&OHPxHCsV`M&iHVSc^r@BvQ-$l#}6G|Ww9
zdky^ta4><r`$+RSt0m#@oEVpEb+<gc#@}dz3S3B>9DUTt%Z4>RvlTj=2n;1j{+6v`
zT8W$OI?s^Xt-Jqt7PlcGSww>4gu-#n$NIYyH?z_*7$N2b;lMJic7li_HREq+)Y-{1
zvs!=kkiVSgrd0ERz>Fa;-x`8}Q>KkMPDVqhVPl?6cwyKm5>r+t8Cz>_>hy9-?+mu{
z^F^en-?z_!IiZm8%~x)NZ~L}YXf!a%x?h`{Sb0;C_4ORFHo8=@IS%f)8QIxkC%fCu
z#44p59eO!cMPIln;rW4(Zy6@_IJxLQ0~}g#wZ=<vbF}`62~aOGjxdQ2t?Or>+tZA@
z_0m2u58LX}o0xf>p~nD5cNY^!cQ&NZvwi}W3=FLbVoKkFx;xEs%#?8xL<F-YzKN{%
zK_c{cc;MQixH|AP)*SMyq{#gvJ=1(#iWp7o85wP*>mub(k~&YnhQk=kd3ZZce#vS>
zo@OKl#m>*~3KL%2olsBlqkT&`TJe;3nGvn(3g{26bv;<K=XEwmIIMFG5>hj?YANyS
zt!q}(yHtV632vuiR3_E5J@!5?0Zq8{Qbc1b(n7R0tjpj9@LObW>P9XUbGK2I4T!TD
zSD%GlCW2$UQU8<SE2cS=%PdoVjl#6P$sV=%uj>%u>O`!1Lyhve^_}I>eEUnDam|k(
z3?tnv2g|JK$5+OzW2L%X2%F%Wu);>d>XLP5-jjSf#M5&1<Pp`c08#FUwIyuVfi5}2
zLh`|?_(av>*jjt68Od)*t^7mMVLYc$8rkQ1`%YF16ch^%5~+WWXKWWx=rw^MScCPC
zGUalek1JA(Hn1UHxlS+UrjmKs-ngClY0P#)MM;w`5JbZI)>6lt4|IwjhD2B5T;N2U
z0XC-+2uDZUjkq)eol51JO~wQ@aCtQ?5CHOFd*_3Vi=$J!x6$6pf+DDQY2UXd!Jnsr
zkOXa2T^jr2&wrWi=*p0^AQ+Ze7F2XyGgn&_U98vPKP96_Xz+hkEpquH6qRKzZ?56u
zNEM-oAF~QnCk9*N94IsL9^VRPUfB8Q)_2k|Fye}$bj@?sjI_?awz`do(j~9Ur#L&5
zktj>+tKn2iTIRzM{MFm|I<jqa4FuxK!+86@6tQ-jr;l6Ny)vKlC=o4T+J<@`lomfP
z&DailaXZ{nFIetNoAGm$BDvN6gwrRs-*|J9r~vE`d~=s}U~)zDftMd-|LVQRX{16V
zCc-`nGM9PZVl2ZdAh&5odGbNVTajFk2iC(OjN-O%k~|M+hyGK+`G1HB@b_J(BiZ@_
z2&zM7i#lNK=)QA5p@I&au_>b;x)Rj)QWGZkFCKv*(4|_0%6oD7PuenFvI^#)#29=~
zWU}sB3G$k<+LC;oHGQHuMq#Wpg39kpkUBlZK|;wUWMZ0TqkDKI<Kzq(2`8Nvx()>P
ztxEZV6?)JR1;Ik$yCI*YO>JSd9DHP$%JT?IA|yP_4nVAp_=O$+Skio&P;)w|z;}lg
zM#BUF3o?}AcM<-+>yR=2&GnLD0^iAqI+nD@x?>u`t*39JivYg|o0j7Utq5Mg9VBoL
z8%tnxGA-y3*(*8J7g~#i<uFTR10&6T1IUACqwJjVI=UIiyV5!Yu%U+W^dK4Bsq`gO
z<(fnY6M_*@2Qva!l9%qsV~Mmx*hg&C_J(uycsi<y5JI7-A`TDS&aDm2&)|r9z*@l#
z<l+z^DW<=`n;raCL^J*4LkxG-yC<Fdg~19L+?r@BgS6NL$xVT0mOdQ{ob)$hl!FF!
z3D}9Ac!-<iF&qJPtTwpIr}Vd<lspQ<HV^m>Wz#q<iTTGTt&?^xE%h`EikzRdjL}8y
zqIb^ZW|lq~SoU|qfhWv7Kj4h-;4lp8A$f~7P+SIE-g>^5H!!KEcvax4OOfCZ0BSY}
zV&^-#piqbL5;zU?eKSu8^E@&L;bmpz%<m$lJ=3D$bnziE?u$C(B{>S1JrOPbt8i}^
zY^zi+3-xsInPOzNyfxw$UPkS%^rL~2@oZ%4d~`P{LjVwV=*PoO1~cCzkG%DbMRE*>
zBZCxyr;*g<Ox6f`<G_#ye&X`)Z{29LH*)OCwe2h4Yt0@#*->n0pk_03?f<`g1|AvI
zOTB1{=>u}Asp{pub?Do&!KWipdtP|ZS2EcD7<G2b^LgOF2<3GE(LQDJUu<yPjKnV`
zn{uM+a(=v57#W$pIvSeMc`j;0QbbsE_4hRzx<2@&&}A4eQt9ikuUZVNimAO&Fcsq7
zZZ=Q>mSJv%XI`JNB3j7%rJKq&W$w5k4*te3OqPyGgT^zabzhgAyFahM*w}*w00A5E
z?V#kR4=+j##OFWwV)8rFM3p<DzFZG=%QK-aw+uO3UT_VW;em?H4k?^u73G=i24YJv
zODCct3J5od=Od?xIwR#GdjSE1*i&Z4#LZQ*8IWq^YL?-Iqjnj!`)2-!5#^W<Zs#1A
z(A|;Yl7zE1H0@I@zMscid&e;*om;8XB&oe?$cH$hyej|hGyN|z5TG-8z<4?oeO`;R
zYP^ZvDm?peJyUpp)36xJM@_Vgq;H2ddNQ)xjo&!AefXOJ?jQbhIN$h`?0uU02m!k%
zsZcl_(ULcW;a$%vw|L%8BTl;LVGbnFs<AdUG#dUw9(6!n@f*S4f-kth#wE*P&#eAy
ziQA7HT#-cOZ~2C#d>YxU0%=5=<_hUmTsYj!6(QCnB{z(Cq~$LQ*;%d_syd*zw;iD{
z`7eAAZ3>xJO(GSK9;as85I|ir&Z#h-Lkwd#c<S*l-p`j+sNcX{>`U0}SwCl6O#$oL
z_{*@$7+%eC-d;)Qjec9ic4col9@*<^sI;>Ny@!(^Sjm_aZ`mKcbxp}`aUd+zWe+HG
zq~RB*HuxH>HvF``{z~q3+l6ZV;&F>s9kMl!5YCx1f@&Yd>gtaN1FHTlHI6y|2dE06
zwB}%PX{T&?#+`~M7!AJOt(H1hHEe>IRLWUwf$0LBZI~Q6_axDe1qEY5ACC7FOvqt0
zm$%3BE1Jg*v`dc+??e@YJ&kqaphLad<<Ixlf(=0LbqrKU&!1c~O`F{5VcpJYep4wk
zBBqBTPt^3tT^W3lY2I+<#)7icFmJLyBy|SEi&lF2a*Zy%=CVO!P>}jKAaMDMZ658%
z1^0)YbM>~K_rrgBtPqBn3!~!aIzfUltRnMQB2{!|N{*gH!-AV;2(G`R@QnXFp(`g=
zE$Mn=BbCR0AJG?ZYcMq|)K7}tP1NQ?ur|uszp3@^nWQ(xI;9gxh?XUh9{-Rf{-*@1
zt<IE&wKH1tiI$HklgM<|$jd`$;BW`HVEVb4hN&Xe(FE3baoQSMRM!4)8o3uAT+0|-
zUD`!!HgRUmZfR+CK}{e+kC1O@{GZE2*NEd&hjMla=)jj>b^q!h$l_st*HXYKjJ8Zr
zmkeHH)CUXE7mqMmW-s8gD8((ZXIfo5Q&3;iQ&_@xA|%^;u&Zs1Rx>Qoqn@WjJn=!K
z{2+|M-ykAPJru~0TbaA%r{hV9up^TXCrf%M-Hyoc-ZJolt*W2L?H#1^-*Ioh3lowq
zL*Y^T*zH&ltE}DuK>%{(wDK54|J5NH!ZTmeYA2QMR`(%7+ID+<csj_L7Pe-b=XIm$
zr3gywiz`sz?5bKB1ev1Vw^c&v-#N)dlOx(tCLOiLTu)#nko!$by@v^Y^c!hTmhIsx
zJM+q}2rRFm*zB~oHRw$<aJ#I7cNW9h*x{57S|CA9kCt@#QO9ZIZLH2DD3!wycdP+x
zz$x($JgD!qfi65-VZ^5GxwO4k_Ouo|@b72={g(7+mnErvOD}P{ZE;|;EOj(x#MjU9
zvk>=+cJGD#pYq10gYbGGb<4kwuy!2Q#I{?a%+7gGho<HcCTdg9j~R%ggY3<FzAENg
zB?xLiZ^9tQaWaG7P?2YkNf^|)Q5Jf&K`dbIeO-ErpLW&QIsyfzV;JdS?6tkq0to3=
zqL=6}S^57ymXw)z)Y_~LfY(A(VA@nwIH>PXBdIK=9TY#Q<U`IIi?5q|<FiAD?ZM3n
zFB}%EgEe{G6Uy0jPMsDt?ZYrZXQ#dv>9>~N=~rOo!}iSxLS&vnlsEZJ&fsooB6pp_
zKGC*sNq1Tdt`&@Ajv43tqb^g7C;a5lR_6U`qOEB3-k>pncg4vMOrEU;NR-yh<qx4G
zwG{GC(MRgg#rR@K(b507&+*T|*%*QzQQ?1Q?y#v{1u@plz4r>tw9SiYyG(+-+pFaM
z_tz_i*I4n}Ingcb1d2Om`n)qo=$F~1vi?m`BGvS$lkV&S|9T^~uHa7^ji@EEJb{!s
z7y<7Hh&XpzW2mLMD2fpW>8WF0Gx}?#2w@S<NSitKY!toSoCI~iR!ONS!Ni|Po%Nb#
zmyb8w3Rf7Zoc`ltZ9i@vnx&sHYY6A6c-YZ;u~91}6NhbRl>>Y@xxLKDzO1|}UGbLa
zGwOR=cIZ5G(+nS~d!`@yyF-6K+u8gO5J)WCD(H$f*v+B$Nhq|Wpi0g%xeRsT`?#u$
z#+VQa{)!}~81=2IqafZ|TZ?e4!2s)0hSFlw5rfxlV3yI~L1MT6yG%!5>lm4=BM10;
zeGEUzvv(B16M(<^Y|2-`Q^&zxTldpm`u^`_rPIx4l<|Kmw+*)ccQ6VTOO(Y}i%VD{
zV?RB2Q42oM*kGO;I!GcVFRzni_Vx&R;t`i<mrcd?csi2?h*9nmd9?f*TPjQoZl{9<
zqFNgS=FHL&WnWZG<jopAGvudTlC}4WJC0o8%~4!upQvEL73_gJ6!(?z1wUz(o|!I!
z-~C(YID~$mDC3P2Y=}%9^;ZNyMKF3o+EJq|OJoRLfG1gDuPz->KTr1!<$9|9!zVd6
z*|FqLp(OS5By%_1-=jrf4Ire{V1ex8J3wMCq&PS^Mvk&i&hJf@LbC>qipiHzijx|j
z_eu1sNo!FT%<hw*>Ennw4tr#$89s$CN3urrli#W??EO)HtW3y7fD=)}=&`XhsH`-h
zZK9DCM+B|<J!YLTIs37-Pm;BW;9#ZqJn`|VAoz)3qhbD)sgW-tIXl5Q?9(GWPQ9If
z<i|J~Pv7f=fgxY=6TcF`N+18Cko+sOYefVRe9|Vw+?w~-$H|Fd2iuVigci!Fdod(>
znFC{S;SOLrRMEeZVC9di4xaCT0-QmnSvy#dwe~Oah;oH2!I38;i76T5)%T_)#qYe4
z_$>5gcRLcs_@Zsx2rXItHM6l5_=!{MO7C7`#XmgY$xs`Us{GOlGHw{~t+Af*dcQdP
zryzXCrESrcnbD(uLvp`c_K#c|=%w|>Z|?E<K9%kwKjXNTzpl%k@>_HZ$@e?4d3Hbl
zKP}GH=Xhl2KFJ}_<5oUrGGY8gavq|)hGeh1vng9$mp74ixsqQV0w(EvOVXr2^qMcu
zHxkADw7Spz>rk`;@z`-FV!fkU_a|?Y%Jyt(7}0Vt<q!gQ$Iz$Qn8A9lwMgJ`M%e6S
zV!JyS1^SqHbS~ymiB&yhcyaQGT9~?Qq_U!AvwQ)oqHJ7r1i}Buo-oMiMFxi>Ds@kf
z@`!!e{y^*rFAiq#mRY7H*0T2GyHByktczkW$fpgz$3J&0=K$1kpYQ%z{GSe)szUFi
z2*Y8LxLv&&_OjD5{rmV;Y|IC2WZ7TbnNqMBWbqXZ*tE&VQ$`D7#or(M7AF%CRO+f{
zK%`ap;4vE)oYJke_fdse1@)0Hxv`<35nNs7;yAR_GIN&W=%7sklce_EaT)o7j(oZp
z^%aE^W?^vLAqE&iewcT%{}RFeNJBPEmAn=^7&$FEJy7Ho3-XG_aSm4!R(X1X#Biqm
z$>PVuhA#HO4bInc7A#RPm&`*PEqomToJ-={EjitT>E8Fz#%*Xk#tDfKxYlxBYC#du
z+=Oakw+sC8Ayxf=;fS<v0_l+jgx%>qKfT1_Wkk^8)XlWH_hf86CY@%Y7dcP4W72=!
z&y?OBJUMn<LoB>S3{T8H(#wxWt;r7smsZ&9OXnURQdM>-N~7pVis__3@4zFyRKRB3
z>ai18hw;0=FQ8#f0OIhMKWY7zF8cr2d+)ENy5)ad5CsJ3Qbc<1O^S5sNK;VhMXE{w
z5eOh9Aiaz98U+y*q)I5EDNVYHKtk^*B!Pg05=g#>=axtBXWjb;eAj!e^FwmhDSJ;l
z^O~7G8<A!_5ht$lTD)T`@5bVh)rCNyIPfFIve;Mt)HK<n3>Z__+bilNPT~OwC3N+9
z=Yx5lTNIhwD-l#gZ9ha1o6$(?*45aWgp$YkTvrMsZT5`m(Fnn;M=i*yu}VYt*W-#6
z>6$MW#Z@j~C76v8{VfK9m>^%U%IZIl*y=#b5q?zXmgrl<_I<YXrioE%mmIr*tj{f$
zhf80Q-`!N(rzMv#3i8XUuG3(`ot<T0o7q{~|Kv=Y(^bFk7KCdBkheYmNQdEOg5tBE
z*HZl1(fs#?Tv*Z(TtIYn_p`r)E>O2t8W%@V)ThMPg9fFc5Yo?c=3G)LbL5(BX|`3o
zXwL>m5pJaiMJcp;!~US}48@S0B=(aC%Ht_Ck@rdH>u34xRv9)rWc0rL%Jg03_GjY-
ze(rnRSR@TOifaGMXk=%0o)F&EupXky1Xo<XSI0L>%CHq@uW8Yz)n*_pmU@&*<4ZpP
z{aUMoA_%=486q=fjaa&KE-YCNSmpLFT-xbY){hQ!Lo)k+q4e-=>R0r&I}`Y`*4+ii
zr#~LO3duBZNsz62`KGdE?70G-;jROs6d){pu-hZ#EZ{=L!6tfwUgIv!T)yWFPp4wK
z?Db2Ovm4nS=v%vW^)*8Vh0IZq1(xQ@o8XC{OK{ePmNHisw8`z%{J<`2at22)&{>g@
zcf;G9JDm-O!gXO@fJd7MV}SCiJfiBSYJG{O<z-3Yh2{eFm}{>uLL+2P&crO*srCx5
zz#qv>H90AJzZ=(J&y3*AV*juhQ2&QHUDMapS=cF&cBqul4`ER|Su#{Ais@?+kQE&j
zUtvq^Iw@t$1yrBOPe!4m=g0TITvS~??#8#QOd!?79wkk6Tiv5_*(Wq|pAY;52F>>Q
zu^eql<V)5ULKHHXM$I-8Ze8f-<xi>ocKxU>NjNB*zK<bHyus)Fg@v+>h_CtG1ZNe-
zWv`1NH&+8+#`pFC1tN^BoPwWrZ`EXn-x-|Z<4*4ZR%S^Es0?vaqD1izof=i7vsv{%
zbG%kFWIyjb+a!C;Hr4CBt=CO4^Q&#|+F1klr8jQTwS7O!-b0$`tXpx?l~3i@=uJE+
zJ;nv)R&0Tyh`Sfr(Zb)n){URSQTMqr?(Fn7Pz?T3D4wN4*c}gPODlfAj;GXP8=U2k
zV9y8g9qcWK0n2}qP5TA^ioVMOvc?wjXM^sGk1mM|t$Z4gWU*vQ3~opoSrpbQXNW&w
z>nY{^97?zO0ic^WPh_(}-Q&%Q;;$X6#<6{!&Og6xJDZ&8fHzaj%1lvzDOoyy&b2nj
z>5OdnjC>?LeFBm=`^v3Hx-Hf3b}>Jj!)LcRRm)pjeoGCpbQ^5e;`DtDp|ibjmX#&r
zGQwV}8o$dQY=OMw<*4N+tNiRtpR^iQTYW`;(?MZyKu&oNc~rfuP@1HH3C-v-`>Gav
z0g1U<I(T*liV9s?lh7+_T)K(&>wR7_WO=Q=_->IL->+d8iXmmupf3hH*Y?-Cj13ye
zn-l0?{kUG(`b*M0aAZtW&?L>7bGDvVGV$nz$=%m@HCO$Po~@wH0$#@9cOg$I+bbae
zB&sGVOh^F1_rHT{K+_D~Oi+bLmnS)lw<mtl%-f%vvnaZNnTZohYnVDHr(Bh|^I2-d
zPCvpB(@q@X)Vq;DUP`%S9o_In^sf+!ky&Ryjg&Cyw@P!&+59fat8x!!9c*sISNq0l
zVdtC`kMbzY)|z!~69<`|38c@m#w>?uQyx5L3pMr?HSB55r|%INu~_wcA+l0p62o4`
zR2p@xz66$@LPR>h8x-Ko5_Ny+*x(~k3#<*|=S7I}n9*zKFSsnhC3-?01^!Z=Vl$ax
z^Xhs8%Efo`pMTB2IIDDC2w&UWbjj`Gjqh=ac@%DJ^NL>+f|O&i-NNQb{(-1FZ_+?o
zwT;xKae^P~twvifo8(A*S^>)<w97u^Q{??vR84E9W}Hb_jRsbp0{fOTV%F+K!q-yr
z6H9+xlPn4V*4$#LCokgkLgp?`EVMNLM$Vf+foo^{!p3uHpf}BUx2c=eFr+<{B~H}n
zrX_>cK7uT^)FQN1E*4tU^oi`&HP!kyN|Q@Hh3#}+4V?m;pubewO~~ool|(z&wj3e8
z4Pn&8W4ZzkN(EKBpDdG<Pll!*`3k2x2AW(JOMu<KOcd<XDHa)^`B15(OGTxk>zbFa
z!vyt(atdG3FtbhM_)vz>qJJWnvEb#A=^HaDP@iYu{?^v}dxF|IBFkL^hw{P7#tGpt
zdmhrA5TTy+UoK{=^r#Bu8$fR!p_aLi`ulU54}Y9(;x<It0fh<?^(P&A-4?Oso9zjf
z`5kG)W$&95f;fdj=E|PUM5z?ID+M#^dxn!sDMDDx#??EtY+<p?Vts;1ZEr4MW~F2`
zm6G^1%BQH>zdmEvTrwKMf^94eNL2%OIY+h+*|lFYoYcQO4W_@$w^h9RTm1Ki(@QdO
zdft`21+n+T2p#Nxnu9V$^>hqS;woPHc&_CU6|pbG<Cg5DzP)0SW26dnkxLbF#@2IS
z*jc_L=;f~fbs!%MtPL4o?|-bZKX>Hx-6pZC-oNZ_Vw*tnd1jg5#NwX$2Naj@1r|E=
z`rJ}&?~8Y#^%8lq^uX?wlWNb$9*SkpE6Qw<q0ezlvK`cyei>D{YPCMJF*hK4d~rU>
zKIT9e;vJLCo-DalOIG>A`2pYSX1THKBQX)uj%0Kho|WgA_E8m)Oyb6QV>yQnjhK+-
zoJSY9?gc%jSS389?hTPK&{)<{PJMg(aw>?U>SCeXr^l(;6mEx44$wR{S*k;oE43Ak
zGVO)x3T`eO=@)`<;aNVcVP1oBZ)YjLFkMa^7=A?d(`}|EBVo%S3Rv{o(MW?yi8O57
zNdlZq0xu)Sf8b0`lZeTitLYJJoQ1*$wL$k~Q}?B2KW=|kB8=;^ESAR~hm3OR*uUjp
z|4LOup7+z^G@Y&xsWs$$k3G~>MM8xCS~e4l%>yGI-Pa<eU#36acQ&+{WH(wCo)7fB
z4;{KGJ;dDwzu)%ZO_Nf(-d)wy;N^>zn{O%jl0|5ImhjAamwifRfpv&U@-aFrMwE}5
zNiGc8+~te>lyTLKAc{GA2l2^ZkryJOyWn7xdGnZ7VR67ou6IehN%faVX{=ADNA*4a
z$2>2K#@1eWWn|z4_?p!HQz!WEp|D(CYn|Q?^QYDvr<PQ=9x>hdR1b8F+yPNRD8ro1
zAKh(~{?_!g+IFFGnx<f|>zzB-u%k`AX$=h}AaykCcN7i(kh-6gxke(p2IX&<VyMIt
zSP4EIC*r`q)&#{1-FyA~gq@5eJtcz2eCYX<)eptFG(vZqgMLmM<N!seo!=OPZaXUQ
zDPmJ*xKwUqdgjcl6F4tPxzwW4F*n6U9kvRuaxq+iBqU(f0cO1XTq7qphfXJx-1W=V
zswsN+NUCAkr?%KKk79Ii^m}27ZVdk?u^eHSZ1Twm?)IEJMS1ropvW<sQm)F;%hlC>
zJddEo#{^`P97t@|B{aV5CCyz8BbCJP(1~3Vb#y4XVyvA%Z~sTPz@40iZL{npAU8^o
zHIQ01Tvq~-)N(dE?%Pec@|i6Qzl+^pP+X+PQ$8RU@>%=xSj%BJ<g9+M_ez)!%wBgX
zrJei-?$1(|_=x7r{ASIpgF>yhWj<Ki;%RazJ}6;B>D<yw-&S9Opr}@O=>88$!Hxo0
z@xscJYcTF#${Bzc=^4>!OjJ1OHImP{w$Xkw_3j~?^bi^JIOpXVRo2l3u3g`Q_P5lg
z=9-vQ4|+*Va=ElZp=LDOuDbCn`m&gqf&dj^CPjdsy<1ni)_A2v57do5T9+h=9jXtp
z2d0UAgV=6*wyAqRIq|+nCVtD3%<;3dJ!v{!X-pWXUOaX=%=oUNd-M|0i|1Bfg7Gs_
zv*dsE0=VK;YFX3Mzy)KFf#s^j+$m^R2bwl~QWvaS1`1|X69F$IjkokqCnU2|mEv>R
zJDncG+t}2W8^;7HZ+EY>WfPzxE%yrs0yH)eWDq&V0xO3CWTd{iF0rKtb5eaX{L7K?
z%!~+-^TKW5*?2<Vd{UIVv4b@Hq?{l+XUMhe`Ad{J@^HCb<X9h@vj9mCHIr$vDoNM<
zZt$z;fI{t(dpPkjU-Ev|;j<+V`gmI-Rm9M%pq>xq+cnOEFFN}lxYb~``&-JIjM?f?
zP>V{__FsNT^${WG57|9JP7Jg3;chRO;RCdbJDnaMhT2jSR#*$hyh~!-F4ITLA;lRE
z@4c$)f2vy9@p2bL_cWWseqacry8Bw%f#`kzG{pL2Z8GJL5UZ6jY0T#Mr*oEJ*7SrG
z+tC-YsJ@P%b!uK?_x-hI_BEMNjZo|h!FpTcZJV4^A$Zzpw<1g*UlyO$U3)_V_hr&b
zT)^QCZW#*8W_`JTUP2@sDSwZw+V@?vMtLr^-W7|zp1wAVCR36;l0FJUUe#Es5UWXr
zC+r#)9MXgyb4b|d822Og!K>!ojECZUIZ|o-Uq`#21nOn<?jBf~&`FJ-|I+=SL0p}L
z9<povMzCk=LJ6-`QflqA9tE!XSdV|i{EDeNqwo&1i+)eVn~RFF-*UhC7SD~3^<$0C
z9jzNtY%k;wUOy0M_%XSe14zPVqgTM-AGxBt@eyQ{M$cQ;5*d!y((U7WEe_-*gr1P=
zV@sEF=&&JJl|Ed_%hu1vjan6NlYmySz=9kbQeJjF))TR)%!h*Q^#krlv@90KS#OpT
z{FwuiSvgB}V-RdJ_m<!!f}i}%sW*#_mu(=_Z~bXHN<L4IjOsD11wKFH<JX<i5<#`9
zF4UWG?YNRJk&!78F03?PW+495##Y?Z8xz*1?#i2CfB6<jzN@6o21ZYx*cl?0y7RU`
zCb65+Sg@S+4o0(+L+=a^NMbgHCBHpoCzMY|iFwQUAB}^6ese5oWfMT@_wP|4YLZP#
zD?^(4wklG{&?}%tH4d2Pt#pH>QFW!baGRS3&*4Yk;_11?tMzo>{NvXBvz$~iug7#=
zYefH$Id=B?qQkI`Xbevwts*mcja+Z<;twj1V-R#cSaG86$bJ>XkT|rXT$)^8_@(FV
z+3&^rZu}~!brEI#A4#DPlv2OyFguu92+;RdZVjD@xgp7CsC%T6a_{?BqSfFxI$><q
z^4qEPMStmF4r18MUXJlytEWdLcQf&xHPstzSE_>P`?1uq`f)%}OTPOT8%1egnu?E>
zH(&p0=VT%uG&H65qX^qEQ51O91Bixd8aCaxHDFO;;Hf&}197c7Cb3;SLv_~O>eE?T
z$&u+C7m18<t@L;vn%~@Z<Hi~XCoExc&b0hX`$$o)@NyZ~xxl_}2Q^Zu{t6ys^J7uI
zK>(KE#Ufpq>8mr+EApNS$@C?V*LJ^MlMS9(_Ge+UJ`N3_3AiF;v$sCs>HhO*&5-h-
zF#JO{TK~(X-k0yzQ>1*;t1}HLdJ;=wt9f35T-;@PM-L2H-s}RCk=Ay)YpE<}I{$ZO
z{U5Gt4F#Ew4&5eYI+G3s!G2O*kFIZfq-;7q#cTmmV(BZI(Zdynrg)chb@_mod-Bxn
zM{tvgzXU5c1-VxUSQk;7gTIa<M7x-tZfY~e-{McTI0%rveCU5QK~|4V$lSVHgf7Vm
z_4+_OfO(_gqxO8F5?a(-*CMy1Att*_@LBo(qql6h+nnJ)K7B)GviTrytNQbDy#1@=
z&>I6)A6Mn5--8aodN!3vEoon#waT|8tV9k8LH?%)(2l_Kcd%sP;El`9KdA{nR?BOe
zTR=9q6>NHDSV}BJPiqMjSV_d5Pd+)R8<u+6h*i9-CAgTUL(yT*a%RsNh%+xs`J^s7
z&R*6&Cn0cQ$K|C$Em!uvM9!Wq8X>x}+)B5%ltT@=IZxC+gbURCRr7(JvTL;Z!(li_
z5uX*!U+?K!2h=Fe#<&VbO^(_r0y5K)VVUyi_@q3rG@&2ks(h+W026AI$SU6~n+wA0
zZwO?JTd(4RE||0#KkECuWTimc_aRF+wxrg?eQlkCM5uM-X=ANCwEeG%OfZt57bh${
zH(-Bo60jn7ot5d6Y&XTQX&qoDDfC=2NI1etJe8|0gqesN&iKJmBt6YN_TV4Ql_G_N
zoMyop4&#^K5c7o;R~nQTJ}HWZ)yPd*>9t%dqUIc7UEO4!x_kWbHO0egMNAdyyVr?-
zy>Wsv65lv7(SQD@`yV3^j=W>yq<q8bIr8MIC2ax45(H1U_NrHKd!%PNUb=bKN2Vl5
zFpon~?_9#2*^-vWr>2jdv>tE18F`Vdv7$SQ>w^xrZ!cu}S|p~HNi|v7o2I$8Yq{I!
zDjBwDP5R+$-6i?D=9c_Z@<j%pR`NMC`8xxw{mme4yOQZVt9csTIG(+XA4Od!>QHal
zw?x&Z`yP*O6=lsB9#lI#xgg&&){hdGU+!l<ZTfingwC^M{B=r8;DxsrG@et7f$KU>
zI@z_)X3Tp@;a-evecBx-0i^_S=2~d{g9j{tnV7T;*_il)0+l4B=Y}WUIYYePiuOQ8
zUBL|3k2|DGn$*)f(=^(i)><(ThbPlYn(LxV>OQj$Evu_gdtU?riO5q4cWPj)X}O~)
z_nqVA&DIp>ZH@kwg%uAjwfNbqKdGBBA#Bw+^w&L$(=Ud2Ch+Z{5-8sVvJ}5fKT=3Q
z6KnbW`*_Z!#X#0u;?6ygLzL(fay{(w*yJs?on^T3<4JRS_jWOZ9<!F4MUMXvUrv5*
z#l@$Ra5m0kQ;omKp+I_?2c);LZoKt}gx_HZlFpme2t5>O{ZMhP*nn>2Eh}La?y>E$
zRj4)ZFAHabCf;e5Z!!OiMGYpJ-rfCC>~c||4$}p%JpVF`xpDyI){}1t{Sk<`Nou6s
z$&j>pgYRJ3656W~d{3h{%t5I%BWUxJ#PQE+jh++?$&?8bXY$>z&JU)pdjcO$Cl|(N
zoOfH0dDqo_K>RIxz&k<Qq`)$l$ji2hcm5dn9>cTG^7MQPmN`oy`hhO4qN#yWGril}
zN`%$8^~ExwwJkLWU4y_PTW!#ucS=>>?*^yShWAB!x98gifBQcIPZJW6S}T`<j=U0c
zHnyo6hZFS&y&us(_JVHqxPl>vSlwf2#{p}Rw#zw)v#HRhx<8hukqB(R0?Ky|3@JB`
zPigfx8=Y=ZB9bY@Cm1z?yt!IU$q7f@0@O4q%X_<uw=U5vD5j#iC-NWH-~O7g=les~
z>&$!O-|l8lJ&lo7^#?@#G1R+qBniR_B%i1mz28^sbZ+)?zZVJ*CNRr>6*=AwBtUSO
z`o8D8t;A3hC)U^ZM(*WybDx*Va87+*>GWRQDxy}J5Z>D9d_r@4;TROiCC=U1`zfOK
znb$djzyL#(LBh2}hA95W!ZJzMGP>9>hcheVqMXGT_44wN*YMG;^QM+X?^MD!-&Ir{
zjfcJ4`so1KKfyro11#_^+%)_ot}IQ6DI<~GGwK5GWvO+(!uA+Vis*kFojZKbCQZaU
zT%L3OeNvOc_!<eX&q+p0Da}kHUZeeq@4m))U<=wStxuexjdMS}n~1d-;xV?mWnOLH
zd{D@zt%{cvo5^k#%SFmV_s@fh`&nK$RYW%Lzt5chsNti?<!J@KAaI6k6K08z7aw??
z$BuG_wuao>c32{ATG9rxE25@O#+%E*@Jie1wv##X*$^(!PX$c#OBL7oHu%Z@lr-Pf
zt@!rWDRdN(|30#ePWKR01OE*E*W7>^c8UsZ_fzpti3ylq+gZRsxQ2wY30o@RV`w}E
zK1=i)3!6=Yoah7|XflN_?lrbR)$r!~9mS!>`|qhtH><AgMtg5vguj2R#pdw)Q=RGJ
z4O&^5EcAansYxL&5}D@6>)TDh`xBQ3{93~H5%2L3pRgApKgSi}it|qzLmqaC&EmHp
zU(ma2Dzj3Y$eB4q)m*z7`|ajZc$6Y0i>=4#3CR4n8B~Un0^4E|WQHiTxXJ!~+?9zG
zq@^W%*Ql2(J&2MJ3Y>>;)p`$m`UGsACoW*#N8W4&qw~E-KUN6Nh3=v;>m9)*wvFLo
zjguI70C{NmsP{=rn(o@2WD#wuzbQzEpdmf%3z#O6($)U$Wm--ibU~28xY@Ak_VG62
z9Da7<Iyvm()rI$GYY)0UdTcW+d*^(7ylYe)DAk6=^)2m;{BWJ3{_VL|GGxH!mbuzl
zsj>eSJV3_eA_;a2@26n_`dcv1MzFLk0xmE?O=zB7Fzc!hKWV{~ek9lypZM(`SNQl(
zt4}EmBV=*^<~Q&|hC+v*^Q?K@KV|u!68)IBW<PcoPL-zqYT9SJeK8Fd_C3t?JXYwz
zaDKxqjJ6TX)wX?Oe`8^s@oZaDS;xwoLhIkh72Vkf47ZQr-_$<+;nYKS5Cq%Cz%k!A
z!WMeH(?0GL?Ke_8SRLOgFlqIAK@oDUCoamm2daU6<2}Yh?!S4y8v0C~0Czs0|HrIR
znx`~Yp#$e%_>DrqX5u{C{p<oQDIutdqPCygm^7*OsguLuz?MDR^IBL<ZU;rW6b-A!
zDwUlVVQ`-!h)p1lQa@mG(%s=RPTCClH(7Ge0}@ldDD08^yWUkKc9P&x$go3HM$1Kb
z)fVjH8U+!uuQm~I_T|AZ6LS9o+<ZBFJDRVhqxr`NOq2Hh)<mdmM$jFS&rZJ+f;kJ=
za6q>wZ{YWnT24PHD>;ls<^o4Qh9sCNzqal0_S%mrrP+W{&uNFQT*n8Ht+>$6Rjc5h
zosd`OTTQRpcN;-eziIugKb8Kcf__AAO#EH;UOzvB-G7l10-h`iFb^Eh6QY?jnhEeE
zuaBktEJ#~@vLeqI%!0k0uYaE7Z^Oe#A8(*aU*$^k2Z2|wM;yRoxm&$W8V8*ee9ixU
zH6T9XnVKd2G0%;f|E42gTC4=ghD1j^1+x1;8YuofVW)EppN*F;1%3Ip`p4zKc7tL9
zM_21O{~ijDv`FL-e{rVOPTX&j|A)N(Wu<uO(t|E>3{eaGt>b^c?_atoC;(h#?%e;I
zjs2a)|M*=I4>0JCzqDNDA7lH?P@bO8%>=G8Ob~$lL52SqS0(Q$OTK;_y7~W(<?l02
z=D<}#0@=s^?^ymmQ<Dg&s)H`MoHpejO!<#78dB=~AF+7;k68bZ_<u?k&XAC%e)MKH
z{b&=48sYt48giE`a!;%zXRs#2bE5Jm%xik$iMyJ}|Ga}YGQOLUv*EpMBN*sr?68lU
z_6e+R!`X<n`7ZZ*kE-pX!1H1I-X}-gMRX79{)ZN$bVzSq6^bA(#&LnGTX${*0{8j{
z&INny_p<wZKz4_0wFL%Zn%BV|&@gZy;$B<;991_+)*$HlzjP3#N*XMLB}2_W*?f<Q
zB<K8rX~$zQZ_A4}6hMeC=!Qv$+1*i%dDtxQcoU`K7Xz*r|CfRl-Qbo>=<D3#8Vlaq
z9+c{sne`tt0X&k9dHdkiEcEgoL*smSNZ_<rV?$VZ@so#voh0NRAnrMVm(oZSt^Zc~
zf0?9zp8<;kc8-&=!_uVnU@2)<Zd7$lXQ6&Xxk6<rp0A~gR-;vAz0j{EidMZTWHE+i
zDqJo#1Gu?YXyLl?KTL7w05=`9O*Yly3EQdtr0DkOqd9%N(<&VTsjk9{WrZzqw-Jsu
zy##B4uiuZCao|4A5Kto+-FHCIL*^nEN7?UwWh?$HoNtQttXW-jCz#%;Z=~qxjX12$
z-oPSAh#_|nygt>)2rqoC?F1rq>so>yplWLcmM`#pX?$QW8REz@Yo@5ZAV)S3I|!2~
zn<C_qBI!uQ;x$oE&T&-w2Z)od77SXZ-MLRGyBfggq8U&V-?i1cYwDqg<qSc6ozu4?
zA00OL+7-P3Rqk}TtpR2Zcv#W>^C1Lv;kgW1HV+B7)qA!Dfs<8L`1x&xY(T310kqCX
ze!RWk(<Fh;iW7LR81ublb1z5EHe)F*r^loqC9vAH#!Ra@vH?XQPV2cokv3aa67aB(
z5VJLFN2X0U*?>p=rp-KCTe5+w;2y2|!Ha~B!Y@^D%u!wxY)}&J58rAJu{>n9<#*?w
zI&BpVUoQ@+YUn_CB`5GAwVb|E)OdoAH!7+}3LW8Sm~EriG)&i%?@~->s$gf8+Rf0_
zEKB#QOH~|Lq{@-OtF|)k&i47B<&=?%2C`bt=Y1Yh=YD=~E~U6F{>j4!SyzT^$W;Ni
zm8NP=S>GT%z6u%kF~SHirilw+zqfrSI{^IzB-S(I0C5m|k$tH?=W^)AJP#Q{(d4U#
zM_GKg%k#jlj)2XHRMsK-i$c@!XLb(6!RGtwc+{AK8y4Y`){qo(?Q@T}*j`NM2=79J
zq#;ku6h+XvTjms%dZYr%mA$oY#$!ei+s~Ltfs&t4+(XrOY#I2zAH20u<C>jkRk`w)
z0sT>tGYZ#Fli<bXc28D2&L7ex>8phaP)}PP_Ev&XAnG1?+WtI*s4#dB^|YUrR4hVM
zEl8xViL|9qGPbjo%z1K`_eSic8=b?sW}&zXY7swi2BcUdU#;u1=&1}}pmC1fW+ScL
z9Odqhy`!b6x+HNf{C%UGxz3Wz8$Zo((k*QYg}o3fVchQ3EeYK2hg;R9tfhI^>c1O1
z*C(8+#eY43E*_z{Hp-+syP_54nW1tqZIk^PwH2<+wOcyQhoKaMMn$nP57FZ=o74?$
zh$AGdy|oL!E;c<Xwe{w>6t*`gF>wS!55d9;!HwmpM<*Lob4PkvTn%1LXu}REaM2w{
zi8#F6G%mb-z+&(gKDIHXpwZDAwij-HvWMJBgNFfO_rdA;dB^JZ<f*&(*qpB5xQ;=`
z>4(U91v^J#hz10L*P3iBZ*LyJ?e9(QjqNXboe*fZHX&Qp`-92#>bA%!Z|lvIBR#Lp
zEiR8RnGM$RBH!I1g$Yr|lOid{Rj8Ns-VhAZjxHUb^<gKdzcUTqkb6knhAk?4;MH5h
znu-lO(%$*NyiU+30bWPytzJA~KPSf=t6Pq|eocB3w;va(cDd<=L92@wPrByy$D0db
zcOY>&<9$;O^Xs;z`H=RbheWN-JKiA!ck#>OLJvHf%uco%90q~T|0z>*qxHF)U0xR<
zT#fJ1B8|`LGBVQxZxe1!yR&cc2YXbw6r$@J<XXcH@Ja!rSsu5;{Jhv3syCpXj;lYV
zR=FhQj>D9QKw|(A%K+*eHiE;U`1;i3sG{NA;l`B)NYM25{$e{d1bUVD=&-q6%5B!K
zLFM5*C@jw_WL#!G{BUj10`F-ZkXBz<F{FfF8<2aqwKHnzUKl=_UA|GZ3ObB!G|TUB
zbU>m-=Bqv5PVzCNUC&*B179jk#95mA7VXe591?@=<AUbhI{t29765e7@(;1ZekA9b
z;RsrYQ~~gkfX*Z!9hV*cPdfhpE*-lq2{M!+vu8;T;`vhV6IC&DAzNNVgOQ;nIHsi{
z1lz*`*QQnbfZoSE%i76w8d?;x{qL?wr|2pANIq+u*unM**nGe%5crq`?$7v{H3sjl
z-95^(ba=3|-Mn5r&Efy$x|eMhTj`PO|8(|?^nid3*^m7x&uYw&+$gFwDhSwogToi`
z4YdULG#x6NmG#QO&;P3}JoOFA=&a;|fX+QM%J|W!(d>^NIa%MZMdM~AHISS882Hx6
z@ovjSb_IWR!o8wNbN=5$T>k-fqC0Q!0P!kD&bJMolQ4+GdRrGE-TqIM_#d}ax&p|D
zCFoZyQO17mdaLF$5$4~J-@n3O{{%rb767(!;3mX>q9V(2{u>$n$7R4KyosGtZsP_1
zg8%(1a60oi1|S5b?OR^^9}wz~zg7-FBtxotIeqRwhW^LjPMTBJ#x0q;{EuPr)U=*L
zIEOyIw*SdhjvD}1X?lu!|0myq0f^q(nyUYV@xN1yj#T9orE(;yr2J35?VN(=V2-qF
zA-iAoxrUoHRDO>j{5=e(GI|94lfKmZE@i%E5bYOcPGLl&i5w}C5!A5aJZb{)1kkm8
zoP&*}KdmW#QGljl?|0d<CMvDR-rK`r^;b-78@<th3bnzcaO%cF^MO}M2suSI-ltv<
zx+P#!Z_0ZQ4S2dBg&~hEz{_X|9&tmq?K*eGUi4cV9-*_MCUu+MI9iCJwaEe$aMR;m
zcA8Y<6;sr>N7XMtR$)6Eb8b2IYXkXVJix*T#0OfgA(qiB<|RlGqw}Tp7%R8is&bYE
zNETq9w9YwEy)_H{!};b=1(i!(Ls@eW;tBH>3O4PHMfyb!wCf6R_cBY>s6d+;h=ZmQ
zeR~}NnC<<6WaYrMhjMr=C&1~NRoQACOB`V)A6>1#R45hei)oU4Gw%_yoZig$I_9Q9
zo-SYK&$biX^sI%M+W5&&GsuPm<YaGc2nYB^m|U0CpEMfB+qFeYB>|#<znDvA7Xb}g
zO27a#+@x?{twb~|_yf=hovOU?2J@pd&3k^8xC<rDsGa;8oAn!2n*>2~9|8Enzd*t3
zVemTD!#<QvT}-DA8KNrAAC(uz`S>%>F!>e$NT4nE;hG)WpQt3#+|IR-bNJs3MAh~w
zK<(GB2Xr=Lmy)DLG8cD|CjdS|3|#T;rr(_#x?^u0+xdzNv1}yO_Fe68C1ZH24t)wp
z&gGKc#h-(XY7j%~zgjwm1-z!jBdc>){GfQdz7f1)K<G*RsQR?mTx&B@sdl6*?G&@9
z?0n{%KBR-HN6CpL=|rRuuxStwSi;*qu=@;H2)t%H3#vsgHbuRk7Q#HUOqLCG>BSVu
zU8-nOpu3z&KYGw~-RMGOkKi_7>*O6J+JiRVH`?rh;HWI3`(!jJ_Ctt1Y=C825{nE$
zH(2f><2aw(4~a0xqbwDn!|N(ss!qNm@w%Z$>JEfgbO;AhP~Q7GHG(b54%`Q=vjF#*
z9?s`DhBt?-<$2hIVo&iVdWnwkWNaba7onHsixFO4ZsBgGy_6I`DktL-lIA>+#=B6Q
zs^Jz0dL|_a9mXBpmWjppC5jz5)EXYTsTY`>a&p)qt2%7Te<XgfXL>|n|Jew+@=HH0
zLd>i9ZmO5CsDUOWA||k7GyG@_3O<F6j2BqH7KdPvr%-aXhsAM*+8x1$d4Va*qsz^R
zV6P|V3a!BdcT9V~xIrz<uD+USk<XDs(OWwkFlj%_5jgWz?dV4-`loc?+NUr8+JYzT
z1MR79R}^1k9|hEhjFi-f#UFO~nJ>*>aX!?q{wsiQDihA&QT1l<ror{6Xss{+xCR8y
zhXwA=!l?XL@kf&#b0R{*0>Zc1NV|#x=a8tmvzOM%;p^)izsjTnChh!8;D|m9%VNaq
zL^e{C4c!gng>ne49@?-vZs|B%6uQ$7WoVv>Ry*GAnw4mr`8E>8fI!rQ0T{}AcMR3K
zM30||KiRPCco<;ov3cBF&`u@U^y1Jz64<m^oSB4RalF0EMQobA+AJbAZ+QOzxN-`W
z<phGWD-mpx?S0AF_ZCAAooF>yB%mgpO+*47?nv0lL5DsHTd1e(3T;)OQ9;#=#t$aR
z_kNcPBSUZ!MQ9EQ`yKO3RO*F6+;^QyL3@c}Rrg7y*)N$LFR^sohb3AK=dRS7DJ@20
ze26$7TM(~a`iI5#3@=AOc}-m1rvbHFTwJtl-^mhu_<{70ku*s&f}?=CZw*mt$OyV)
zEb;mgalc0@yte0Jx0GBQ<Yd#a(aP5DQ*qH*oW1{7-C4zUY>IpJNnFSX<9aHqUY?~x
zaM>ZqZ3KX6n1cCZcgDmpGeFvTJD~)i<?D~|U!`0Dw5r>hyOVo^g0wivwqM_v$&>WE
zB?WnBfv^U;_}TD8Ft=$sQDy$nv=MM-!H(842}cMV<YW>e&odS9>6$J#;dotRJ``qn
zg~|~4=xTW-4BqD6F#MFFIEN@i3gp;*yTTR~0t5wYq$}8yJ58*!te2|Fj_6pE&V=x*
zKLVk4Jst5j`b=P7A>*bX_`zgKrdKg9W5Vj;W(Q#tcQv<Wp#*a;!MY&&+{Z`e6etQ(
z)P7^fi5L8VtlV%p1N;8lZf~`Ifdd9s0%nU)HEW!AX{)4~vp#S{gLv$YAE3PO{cUnf
z`w7~oQ4=9fsTfG=UQ#DZ8vW|j>>t0kcJCmbY)xOx;GRgybMm`gXOH^m5u$VwBNh7c
z{dAS&b+N@pGUoug_4v_fMc(e5j^kC_Gc!BwOg^0}fiu1m@c~geOr+CB5z@Wc$ZTsB
zkK$nW0tv&;h9Zqs&mJz$*rxt>P1>#IzT{u8&nzBq(=C6Zk}6D4LBNs9r#@PUutBa%
z-@q=ifLtyX(I~sL``5s{j}mM_$wl?mfQ4^B*04TRo03vrg9>1&=8eewBoRVu-0Dg~
zLz!E62XzOIj>BOe8+Bi}Dp>>Y6>L28gGr|PO8gjgwM~|Jo%)lnlk?CCr~6}Pd&zeG
z=x$Pom(clX(^fa2>m3EodqPGd{21HUsH9Vfp5(yr9fIYA#Y|b|X8?6INoMZ4ug^(a
z+w)_fNwQ|^ud#v5sIT`i`ar{veh#xF<sb{=hSD?$K}n1=%k<HQPT>AV#vr6L1g%Q%
z7-H49KNm8py3H7sRQvO(GX{ukwVLc~KN?kN4;^!IZ&T_m=VVG%X^-z-em)g>xbaDh
zZuNV-r;alz8_y@*laP7513Wk6VPT$<%J#ymx3v^a>5s?wYuup4n8#1*1z18z3#g6_
zg^Ir02aMktzLuZY-^_p@qYr<`b8{hdQ#J4X2#6NQ;B<oRYwTCfy^|awvz;Dh-E;(b
zF-A|A;q2cGYwa?cILEx0P+vL+!JJRJI5~Q3^u=jE`kX?wddYeCK2xs275IEHUw)l#
zMBC1LcZu!yPt7$f6wZD;s_}WxoprG#fgzBNZS6+%IXNM+s(~h%vGdc+({y}=w#Uuf
z;HKf`jgfXbR$a|dW9enf+4#IgN!&v9FfX`NmtVm%E{(ZViTuD(E6VXlFk*4$COJF0
zk7LSpG};NR#5Ht<Ifrfq#aPcMjR@6Qx}`5N&8!tM%FI=-rjg<?i7I%+tuDiuG0Z@X
zC_RXd;GS3rM8Xo7OP@DsiQbEhSY!#GdgOrc{uJw2u#E&h6faNm@=G^{VRX4^nrby`
zDm@6!`|(l82BpZ0jE@r@xHI7~R~8^@XI`c>HLeV*&G6xNkj@uK3z|NG*W+ZD*uh?R
zTQ?&gce~Xl9@8hRt2iSyC`oFg5447S=YrQ8lo0$S-&9eIQ3rdR#G&?{iBK483>RnC
zfJaiWs*bN|)BN}I(|6PSj6%2OGMZ3}4kr&?Zx@xq-g7j_OoJsOTO#=wq|cC$q({`d
z*cD6WMjCc*zZxF40!+3LDX2-unPxP`TC{IstD+TDRL{hp+pMYdY-WajT*=JzOA2rq
zU>qcCP+4>f<=(_?TH+UX?UqC5`V;=@h=~}-a4qfGXU%y__4bA5-no+)Ze&Ae8LuMR
zl3MwzJ14>5(Mh40PG<%uh&N7c2xyo{@-~k9>EJyL6aKZ)LthvYqA6<&rJ#Chp&)*S
z8E&w;yh(E5tC9#AbJ7|1OI%RDk!$E!D1sXd&JfI2U^KBa;a-4H`gj)~`NqkDvZdA`
zc;7h3;7rYrqwu_p4`QZ)rr6!+1VE#VNtf=yObqzujz(aI-;M;x;mg%x=O@+YRV=9;
z!d8}%a6g?PEvM}6ZJqO6g#38%HNy*$Xo1dfBufZ$Qq%l0M8IhOsWS~uQ0i++$`j3x
z9=natbGuPa3IiG;Z*KV-Cv@+Kj6s6d^J^Y(3nz7rt6iBE%U~j<65uAdjbV5WzqfnA
z^<D9+)q@_kJIFn{Dpb&IuI^3L>^HU2T;0cBPV1<GlO(?ne8YDf2fyGm^19Vn2i>wF
zbH6Tk$y_*d<v_WH)JD<o%IhdIP2ua#&B;6`x!$C!sDZ=a8=Itda^ncO^*h&vuYXjh
z$&#?t6tfCo6y&mH>AnHd5FyKceujO;a~QN9vgz#E7V6vJs9uokw5Ce5)5?FL$t}jp
z&Ce*zA5as*b%+c*cTRE}<$$lnmlUo#(>oP-w^P6-!Zv!7Bxr@ERcD;w;V>y~w@Fa$
zD04D{6#w*rM=-@h_w^dLcDu(8<JUgH@T7Kw&op>yG)cS3>V=2feKYRR7ToEJrR-v`
zb&YfOP!Mi+%5W<^mcG@zl=`HmuPTd2Gw47_p;~rhj8kKzT+Cu!%kwHk%SnZzMv6DW
z>ggAO*eWH2I&LjI-EnOc2@lGX$Twb*zXX~9heJEo8nfQ>JFM3u+rfoq&yNm*z49|x
z3hzyugIe!>hMr?s@I+q5*GaCq4PwZLIdPpSv)-2}nnBZH{6w+hHAv3@1N&YP*LrE#
zfI<<uyXc^p*?bl9gV#>HZsFNG>!fj+&OBczwnsz7Lm1g>tYKmb?vtG6Nfrp0RTNPY
z>IG%{wM41#^U6X_&sZ3KWfZAk8_3yjnE;)va;zIDB^X+q<{Hrv$27148DQ%g-{h0-
zZPp_6&h3Ti(TqJhL>`%vq{2{h?JW%=R?b)>&ZRN@+p>q&+*b>;Z!60SN4OCJdffo2
zMn3R$@9cEZwUG~PPbh2DaGwdHwH^s+oTjKEuNDM6-ZDaT`wltOi=DmdHo?|urZEKf
z9^F2xQvORsgbbE*2ERddpLDWro`LhoD^r8ze!k(Fnuqtw#`)1o6WE4c^>e@LMI+~M
z^NsfFPrb;<*ENg8?kEh>Sy7OHSMSX|a_(@~$VZM~W<a$@we_@)6(E6i{X-CVI!#6N
zbuDz*^7&{W*DA8T1+VCzr8o#AS<m2i&bZ!Yuq-g?#SOi3Er_;LxNm61*Hr7$o_&(k
z)+XBXq-+OyslLX=kPR$uimm9_LEe!B-Y6V-t2Q1wj}J<@07bK0c6ZtN3Yv<0U%z`}
zDSM}XqY`0bH(Z5m4`^>Ue;_gtjIeZDs!zI^J#C~}i0+y=aIW6GH&#GizZf<osX*T!
zRvKhAwD7Swcjns7+PFBb@Yxj>NVvSY?~_B&JQA$-VZtZ8@TNG<cVv4x<8^#@2E#PT
zA%_9^ZRvrxdp=cHM_E}(&pu1LB@om3n71?5{*jpQ-mgIvxx%na{;fj|;yMw8KM6Eb
zkdTV&g$<I_h0PCQ-`0~x57Za-7PVKZlcGTFNuEd*yg#3Sfdt;Q>!~Rr-|FLt1bQ8g
ztY4TU+;H26jqhpBR*~QFSsj)o%g)zK=mt#=v0s;%zN-B(q#jrqf^**`+%rEpE^ZSQ
za-1)(cbqQdyR<GIK(rwKqGQFS9ShM9Yuw^jE(A|KKzE&2`{5L|L^EGeDFC(i)klgH
zT<Q|;W1-DqyHxSZ3-TmYORt5AY(O0!fG;0$FU0nQe+%tp^SD}@JZ#xI)ZSM9Jbr-(
zDmynjprE!Ox9cz)22~5)>YrH6=@SBsalsi!bY$%Qn<v$9a<1bVayI$RA}Qv$n!bBP
zTZMt_RhM#9?z3KxX?0W@-mQCiL-2B%@+5Oe>sy~aMkjrgjcorXjfTAr8j9ZNdstbb
zc<or-_5J9j2TRh}CIXKX{!$d^@{qba9AtNGx=1Xn?Pja_VG->T)^N-bb3;fX@2_OL
zG!@Cn;Fz3QzxZ&(_OGO~%fFPg<dRNQwVsJ)@u4lRJ+zga3)8Z8d_d;hA%>2Bk0I>T
zmL7v3-@|wGT(=p&FeD7GVCCE+s|&6X4f8YtwH2#U(h92Qb1LIH`N>qD2`bU`&Lq=+
zZG}HaHzRF~+3ki}1le46Ou0xDk3o1K*5FBO`b_-<tH32r-!jB3cqZhL7jwSjlUzzv
z`9b)_rI!f@GZjKdOHX%7t0-Z$Sj06gL!;{vZv^I~-^TyYJtJ5D{5@mhps7A`Jrs8B
zU9wDfan6##>k;0YxE@&Bl+H0vb`|-^9)$iVJRe<<%u|e8h(;fk!#Q7kxp@$voOBy(
zKlm^($ohnJPJMDezT59B(hz^ez^sGyyYL>AhYlIK;$jS>hzcocj97v-!u-+$?^PqS
z_FM-|3d$d-lRA`Ws~L)UOg08ATU3u~70y0h%4n~YBt@lj;TCi3kC9bq(DazYbRl^$
zo$V3E&S`XYbP$vE_R05`$t^DX6@%W{UH5xyMHD@r-T{kXS4nTHPn#i!+GVs&7Hr?5
zvWn_g>(DztVLA4edE(kY?xsd=%d+hh<#7?V<4l5@b_T>e+-(x&5z_3y7PRf76I{Uu
z4<Eo}r<T`|E#1{(iX(^P7go$Dj5S}($${K2YaClb_AE`9)(Qk@cM&Qo9tEh0z9@!v
zn;EZI8%nx?ZRDkbn$?|s+}pljUNh%MI?n;O0iStrgI1j40gJu=tt5#9pRF<Xdd}$W
zu47Rz*V}ftz+$v2S%r)v^jJf*kIH!n!r#kf8jI8w9PHu#(&$wm+ktDSmWQB<x-<^^
z&89YmRLQV6M?LQxUye2rwe*D%t-BoY0r7D_1xW2m=)z=}luA|jBuv?ZnITDsUowC2
z{!h)v_pcO2q0T3N{7wSHlrvI4)vj0wV7tg;pZAzla-opBV0A&2M+`4t@G(O=)kK|Z
z<XIb)4Kif)(yJp6Qk1>()>8x!_h2I%kVL-NJM!)iN7e=!QaX4-snprsCkO5<ydyp}
zC&1?@ZQTw|>Ou(ZsCEbkf^FHXpd#Z89EBgR(=J_&I#=dSP4yVR#lc*jyXW##(A3zx
zzq!-<Fc3Dwa;1<8c8vuA>1Y#$x&h@tXKZ)pH$1b;tQG%C*MB_6a+O4@4U|gU;}N9o
z<2ZqY-zHc#w=6Qu-?npxD^w)!)p_BcYXLltzt}ptld6KbFBhqJF&vEY=y#{bAJ*}k
zzS-~F9d)O&bl!p`^vBKL`FXi>Ld^YZ_KMwNUjk?e9Ka7ahI9*o!>KDqn^2Lu>xA8d
z<usqm@s33deM3zvwmt05?lL+83iJCNpv?C-vNxFe=vGAMZtB4|?rjcq!;<c2Piwze
zBH6mc%pOt>>u2tEGBjRdnOLHzhAI({cMInCDpX+`c24D>+u{<KwRyBhJ<RBmM|~LB
zj`l5jx$h9Prvx3qpxG65z1VWT(+sU^p&wMIMSLHPVr47Musc>e3Fu@qCF-J7Y6>2R
zlDP|X-fP}IElog&JpfrPAvVfTk^_=+pw=rd%H6yXH$XK^pD$3XEUH!%!=3~F&{@hF
z$M9UV%|uK~Xf3-Gt#atb`N4BVPK%@%UPpyWYAzpkXqB=3!t683#3EYGy4!giO5d-_
z>yiz;9xV2>rXYJg$77c3l=IZA{~{;*d-90@3wP*??<g0rqjNNRAp6G<j<Ms#^AD_K
z2noFG;5TZctpRtadzpPGwg+8)a1zIJ+|Z=Osc=mc<5a3cX?WtjbKnY=kX)}2KtGWZ
z*BGg`%!A3D`dxr~f&F+I_dG3-KnHj^Q^3$%Uuq2v)u(%A6lWf3hukbNo;O9R%uC>K
z>5g@#H^H3SyGuca;>*Qj*FHI_2)#3wu<bpjjFh3Qu}H9Ih(x}FjwNNGcj<GsOG719
zDjY@gT=}ckAjsNoBE!s##?IzIW;IKaa97o4fY`trM-Fvo5X{8?G;YY<3F88?cbIwN
z$^7)$HbNLrh}$$MLy#9c*f{gpC~!GN5k?*fDx6heL8wE9)YU!<cWlDr!rLd+T=r(e
z%KV->=6LYHIMSQ$OO^`s2|fyl>WNpC$F*ym2ROXW;@zU8MWm~I8s&C1+TZO4<@cER
zo*eC6vlJz@>g<JWvgQJEVpFQxq?tIP+R~!NP0^vam0sZcN11`mPg~`BAaxNkFh7Z+
zfjY=m^I?&cdj-gbH#JxmWmv1(sli5vx)BP4<i8SUm&A7J&W<^QM@O>m?N8B*3okFm
z%kKSZzLN{c1_c=+&kQMxcg;AiDiFa}Ch3PlR?_wJe+Uwsaz@UQ{8&!Yn9C05y>X?Y
z+mZ_iil9m2^B4vU25JJ<DW_T1|I!{nv<FQlfN=gy=nfE6oFv@hAc=Tyd8I@Rwhj?M
z2x908YJzJMnxcezWAVP^D)U!!+eEV8%6cDs|2Q)H28(n)0HBgM>9IsXD^O}OZC;5T
z_6e^a)*Cxdlvo4P80@I997id0$y}XwAH#_BTz1}KV9lg2sIkY{;e6nApdv54d;*Mx
zSLuzI2-y)?_Z5^Wbtq6+1XI!;8oJwaVd*06e0S$uqZdwqIM@zsuilSaOgaQJW*{2y
z{q2&@MfUa9w8n)jJ7Vjc<AK$B{QNmJGg~eb+CVWB%3wzG%c`H+2e4V+$RKUfTeM5T
z(uHYcHSy&FH2vElqIowm<w(hLMMC8cq^-mDc+u`wT2R6Jqz4B<zBIK~k4I7pCQimQ
zPR4Yjh8!=48e0tWW%~9@+*4Qdpedn}=Xn|_&3_$;)T>WP&gJi$Q65KEx#yWYUdXAz
zzkQNOnR&799*Yxr@Tav$pXA0<vuUz?!h@nD^}ar~i41AQ2gR6)vkayqX1XWGZ;D0D
zWY(y|$bk|Z&_vIy3Bz=Q>$-O@S?vym7NslcXuiDh4|&hXQRdbQTBATB!h4LnbMKdx
zDBMynoP-R%f3uA6mKrW}`?Kx(B+cdUeCr;vZWfg3_JBH4zC*mz)#IrNHZJ0}1K3b}
zn@5jAGi$k&@)0UiO6s}^2dVYsnef@*rS*~lrSgMcMv~31&NW?Xt#Y1Wn_^&avPBIK
zvC)=64hJ0-@UAYXbVs*p&imW%LAg$vpZ6lt!dl*5PE|Pw&^Wu7=Du;AWB$E_;v?tF
z>!j>~gk1S<GqL59rvZ}Ui(f4EnCP75K@)ImAU+&1406B$fpjOF(1g=q_f_>f$M-sD
zRaUns8KY$kRUdD>Er;z!nBbM9Za6*DPqqkmC~{w^M=R5=05IE-vPM3^3%<{&QtxSm
zTc6}c<#`zquqF5&hQ~cZmy&9HoLR5uX{<w515*v6KPYo`%W%FCUe14!Y~{eVuH|Uw
z9kVM$#%!Q@EcTjCzut2{$eGC(W)=NIOz*{Vtr~b>zHV~|*{(u+0NVS!3EjfQII9;x
z0%??T3iVglA4oaxj+v@>U7s?XGi>dQ>d5RF2+nr{56e&bYv7TiHeWW~M=lmZ3?A)`
zTL!W?1T7Ak$yW@S<HQ2uI-AJi&vQCIvbw_Vi(c0t22*Lxg6P{2HL6z%b#xdbjuM0m
z*6ps{)PQ7+>Z-DA`=)8`NSr4jO!OSj6VUTh=NvQ#9TM!l2kerGge_t_QgZs2&cQb$
zDKCvd;z!!>FHg;uWE?SVkx%W`V{a?Ex?3;|9%s&*VeC+V4S7nU`1le^vNzXUpQ6U)
zQ#E_dR`@<#g8O}5ns*^#)sav}Ngh5hB(*z9Sd3-M4`;BETSmS;@hA$oyF03rbYmnA
zC{(LI*F!qD1tH?SiX`yW!zXcEcLWFN5S*m)1v#vG-Lmz)aa=iwwx*|MC#U%Yvbdd&
zIme-P%7G;s#d}Ni0JxBcqP3%UY2Al#JO=o_paDAR<6lrOF(?yh()EZ=%^6<S?J{Qy
z-U#ykED8orn*-epYnQpm!}03yhJ*nJyq+taZBYDIh<+oYJD4Y7IDyg`%v+dS<aCes
zIe7$1nN}k)C>wYZ6b$LZRVFp6f%uq`c)B^GWx)M?H=JFL;_ycGD{U8yg2QdZ0W`jq
zbpUGVKTXAVD_1uj0ExRPlnr}mtE_Y0U&akJ(shAW_&#?i46jNn(tY9Be|9;c<M3WS
zm&$s`$;0T;yTwp2O^wBVURI&p(t}9~+N#aaM{18SHNjgI)vT`vQs8!SKfY_w$P#xK
zmK}G(Rat^(zV$c0B4ed?+4+9`i&#*=!ZrEc9!god*jy&k!Ssl7cQX0N*9CGc0VL(@
z!l_kTO*5bAXNRKcsQprlFXYI{?<&FCucYm4pc%Q0uTHB5X>BHm<6SafjL1;3Z29`$
zK-h@mWb!$)xN~m`&dbH?pL}R9J{EOZqkXA;^GhRs+(?OUnvD!01!ugSZ~Z{<V!`g2
zXf9Y<(eBvZ=Edu8tfC=ngR9Gf=Nd!n(+*xiKWKxb#XbiwUJ)fqb?n}2GVTZkOe_Pb
zvuiykQV8$Xhsxx*k=<TzEprv0VK(!Th+76ag8_l>#U^bvXZCec{6w*zKFHJ`Z1N^<
zKI4~0u(lHuiSN0u$;4ItK^SODX#UW$gnb?jKbY=oUW5llpTHrm6)1?(1ML~@XJFcQ
z$wARKZ`EhU4X%VxfM`kfL*!L*-ye-&5HcFW1OzN7k{F;K@0ghmO<RL(^7ISC6*4Ts
z!)@92ZXcU#Am@u^UV$j68R>j#-1fohsJnJc_c%gU<HTrg-3?b5m`sxCUK@$ZSK=4+
z<)jvZ4SUe`NgvC1sJ$C{#8KL=&(Eprmgnskxz6op(O^t_vqc`rg4dGH9LoA-o1?<i
z&5<2;lr@1LH~AG>pUDme9RHl$;O|td-@JzfRef#Y+09$A%dKcfQAMhgz~mFuaD%u>
z7KT9aSH>N~0C+TKw2CL%8|0O7>Tf`4NHe-wck0G{w<PE@9h(gYj3dl3gn#t{AU{lg
ze2w0zG^2NjN<?ltR|8Ms3oAsnk5MK+k%f(^WYI)-l935EbDM3j3jNTli|wT0kxpo{
zjAJ%`J>bqps`9i`D|Gi&$xbS({*;v(8M8LGo(m7G?U`&vT&P|h1BG}uQS#N$4X1Q<
zNeF4i!FR)*iO)#z|Hs~YMl~5_Z@i*N5v8htlu!gzx=4orHl(9cr3zA{7wJh*K>_K#
z6BRUc2uLrX2I(lhhTc0Qgh1fF%w4l|X8w1+-Y@elD`t6K&U@P4`}aJ@V&iM{0&wp;
z?YQZa<WcnL3WlsFfq(q}1_%Dh<LU7LtZ?3Lv9<Pp<0M4bfnUwJsuunWiScjzy+Qn$
zBBrA`Md`ny4c@@7BHM0P{ec+%`7D3FG1omKLGIAllU@67EXCZJD1sd^|F5c(e|tt<
z6#(AImCI+=`Tqui6e+@#fnRy2#qj?(Lgjy*_5U(9Van!2@6mtjtCRcY0O~Y3RA40A
zdB(OIm0EY3c}5tN`V$G*$+5E7?x)%no{%`*Hi%=mEzHm<7x~gweQl^9HL17fMpC^$
zekN!GzgE#}CoLo!`g-gy<~#lD74~Go%m0jJK(E3<TYm;}tQDcA>Ht1Kqaj_5<A?LX
zq}LX;^n8>P0KBKzwtyhpN@p~dhj88gvkIWb?WxS_`mh41va9Q~xpk}KVQ0t~fV3mR
zR~jzRI9M7N5({9`ClR6bvL_L1u%nIPz}b#itG~uhL&q7MW5rgqFY#xvc*>B>E}p^X
zXXXCMvz>R7cz}T?^Ei|jMH+tJRjGHLs6^Hr?{@Ohhp2^}044O1Nq}#ed>O<xv;n{w
z8c}I#aZ@XA7gyf8uABmd^Y|J5KFMEH3y8D!e@y~xv0mU4bq*N7LsXlc5{CbQo0zz^
zUYjH#XBFwqE|vZBH22M=8Gs3t7O6@23*YLDIv3r4`8QvN_g4Um9v=&{D21%WUm(>k
z(&pe*tq1uof0<;g-~NCzIh?tdx~%qu*bhG$I4fsQ-bSSTP6w)%8n<v`A*#BVY#BSV
z1-AIM`VRf0wIj%a-D%cgyx4;q3Tk2n3I|oaWvd_8N|1!XyIs3Bl@n4{I^wUT+vWj?
zbIS?HdTx%|z&Cp24<?3Cxi;khzixI!c#v9<0n30@Rqb{TV-$|-%xs4KdfPWBk9n#y
z(7$ZD{$8dS7&yp4KJ(F&y80%A4~+nF`0k7(>QLk045#ov*@KU-{|1Un2+Anys|-r<
z(FBW0NI1h@Tv2j6^l5QNk1odeD7SXOrG93MSerS-*DfslWzfO6G#IG7Zb`(BJWI(c
zgqbB&8&l?4N1UG3{Q>1+_hxoxgdGutz_<f>WGGRTx+v1fNeTmCu)cfpf8N3OZ~*jr
zEj!EX{AcVq@R5AoJ~`ULfcfAMw>-zr1VN1n$jRYS>J!M=YlH`*8D!^Y0!4k`W6;7t
z#kf<AIHwN)j1bkCzy8=D`o9=v6sQ9wN99v*$?3s~t9)p?W-ku_8)A1f<odEf*aIHB
z4ANn*EIr;8tk;vr@ffRNv%nK$ul(B#`qX;hD7I_`TCXLK)v+HJSkp+AC}aLTCdTeK
zye2cC^hzI&yn;9}=$?|0u=?00W2{Le&V6RL9F8a{{Z=vMo7cUGp392WwDT#muW{u!
zf(*V3^_+i-&fhzM9c`Cl@SW_Rd=#9qDws7ULwz!C$2qec>mQx=HRWZQ8rXzM-4lVo
zUg(Q6Rn!nS-1U$8q=Ac;Lx6sq;$4d#21?<TK)eZ;6RzF9za-y$hWs7?K)=LHpTHat
zGs6}^{n!tUxus@i8$}1#7>E*A0`-c(976OjfNS9=Ohc3^6R2gDKl9r8o;njR$P)*G
z09{3XolN8U67*oQqRxKQUMM*9M0DJ>jcs@pbRD{J;AFipXbD*z`nY32O;v-Q0qv~F
z&OAf?xSedcZh|6x^)=7c7gK~x2OuK2&p}c3yx(p+-#EFE6*U+?Eukj{rOa$rktPn3
zgNVPpwjyw2p=SVsE2~gY;=$8Y!A&>?yL*?Y#v1^q@E@02&eVS&_t|vATRdd$U67^D
z(P%g_<wK!nTeM4_({Y46ZUk3H_yTScj-GU|wyGlpN*RZ3ze$_-fYj2@0dgFtwuLaU
z9@~vu$~r^-ZJu~0UBABspAA0%F|VAUvdr9Hl2x9Yicx#f!Er4uFP!-U6dpc#pXD`5
zZ{D3yaJQaevrC<K-UoYsBhMG2Uol#^dZ4ujJBudYMJGME%p*ciOMFm?A#QqU^yz#w
zc=BZMB-tioG~Hv!P=l67%9l@sZVv#m9k%p&<LIx~X)4L$=zg5RIlRW307m8bBvAKM
zJF+21!*PxK%aFmq&KZkSXB}`W7Zh*Di>#)Y@343q4ofw(XQ3NZ2<rDD-n8Hkc$Z~H
zBfqcB|6o6!V2Ne71vPn;Ija+3OX*(aUR0f1Bj!jSj(OiJWG~q=&*V6RE0M^R3JD}9
zI^oGWTk9%!A43xVZSEr9t?IQx^mG4h4kv~dC@bT8Y2;8+**i{H;8IGu!}VhQ6!XF!
zU#Z4~dHvptjK+Ntv4r3rG#9ECtuc>|0q#^%{1;|+_|eUXYk$+G0!fOLk<HgGJM$^h
z%WeTd$|mac2$eeR-9*WEFFJxl_0>M-M|vg7@YQTB%9cTD<nH%WCp&D;(Qc=(v)KIt
z1~z|uGf2YqcOL7H2iZ4q^h_Z+X9U>6VXuGvU=ehjB6gKWn?aT`xWz#11F)JMra)hC
zi9S6bSHLSVuy#-ISko(n<XaD=Ft3%dw%B_NGEpQ3zH+2f>c$N^H{lKdP)9Flw18mp
ze(M5_Tp#I>MP?-Fb4%i{NZ0_W{`<nwiWUb;p0F2^L-a3p#PphWdx6z+h^FcIY<D8q
zcnZzbSWn>|SwL?>EN3d2#Omu=_}>lXPx&fpx2Y<Glz21iZwyDWI8}b3oUnf8_b6m1
zhsvF+xc-Rt4I5S4^kS;B6ZGc!wVIMKYlVm+2%agnTtpi&w+39|mAbty#rOAt@!`#g
zD}Q(H`nmJgx%9l<$G{*|E~=dUB+)z=_RIp~STQ*i_)yHZdyz*w#Zc9lN1NUp%GX4n
zN{M)AR3t1SJK`IX`S7J<Qdus0(`P8=XzIYagF$+uA4Kf$`3F^*-COM&TuVAkuQU^r
zX#UzdSD!nn&KJNj#9d>~IV=`J365lWS!`?ADQhkSb01*_%T&&w6Y}k>=)llX_Tc!Q
zXA=UJ8-zFfT2Yc{?546N`SL1vY4quw!bxVxR|7gT$^v@Mj6ORD^kIAv#OiTAAAP5D
z?L%m(Q%EtvPM~~7i*?AkG#%Rp1`*jb%MV9{+l7G}r4|g5IiY}{tlZbJ%@p**z6<^E
zEpI(bDlyU2_qCrmnGxsrf8?i0NZ+MW2t>{mI@azFb}a#ih?;nAu;mNl>+}xzpHpzs
zv-8O+a^J|o&3}o9*;L+2*;(KEGI-f^w!jOcceg*`+{!ijhw8JpIb)vOiWgB;yyrfc
zZ}dKwx$Q)Wo#e;V1BdeL<Ed~zV7KZWP@=u3h68wDdokURpQc#Fw{aAo#&~3g1uW0=
z{2IRe;(V^eolzU(4u<TI2y1G;pkhb#gS3ray@CUBh9qoILw;CtIr>4@J!`Ar(w3K4
z-?qZ?VE9<B@4gz$LO8k_ZIO_VOnL2~Cq!q&m2@MLxdNZz)^R)hi|0+~uX0h^cUWcS
z98xE!ZUlvq3JCH;L7<x8BwIhIurOe9{6kA%s6KLM74$BHBA@#G-SLKqKBKR0SS1vz
zk@~zl1gm0b=^{|uK}yB?FS?|Y`@kvF%;1&apFRA(c?gBKP5!V9Ek_;UErsDMH(jK;
z>Mh=2dW(?HxN$zZE8RE6^AfgIZh=>_VpAw;UvFzo&WokSX=e+5<$n4*j|~E;h@@Sy
zob*%~O`){^etV{JjQ17271oFd-ldnt4zBBb-JkTrOpb|BB~_}PJE*4cp^T3Y3xE4s
z<(1$UT^1%<4I+aaR&|x*I>TFg-a=RA%wch+fZDPGw5qy39LAF8%X9z7oOxH^v!>T<
z<ZAEp%Y%E8=B)F9a+y7gNMlam&}t$fPiT#(GcIUvavD5}r~6T6WsFaq(YUEsfxK<G
zSn8^>tGXU&5Q#*t#lpr4^Ih-Q9~+d)TjqmDfOOBF0~cVb(L(koNaG+)NIFLs>7tx=
z(>CR{-N$SlE;h~>Z#5|a(c*_-pWye_!SuI6KDBi7lNIHO7$qg$rc<OuB!E%)R^hQQ
z!&y$c=yR`mOPO;XK78*S@}b~;BQP`du$`V((ET<<N7BXPZ^F==y2s7@Oit{zO^x{`
z=MhkA9wSxVk5cR6bo5`!q?iJb(>hy2;@6w1WNIr6prn@VNp|@|Wg2o7nmU6KNO}*X
zh$p3yh3pg$y-{M=Xps3vzgCAgqFCQ{q~bM47lTQt3S2+D%&Z<|>ciFy9JWj9rkapg
zts{zM(`2Pv60)q^ME8mC_9Ql{!&;hZoZ*eUIdd|}2p)EOBe)A^ijnGIB#y`bPp6o7
zP`=^?TtgK9b`4R}Xb{jmFZwGYNjVE(?#l<mUVi0$SrjPO#POwMm5Y67jp7cd@tG`-
zaZ37&_um{>Ib7@l@T#=DU_Ex?PF=a~_@EZCw4j_Jpr~pwg?B$iMIC}uy|j^yvF9(W
zC#((uevZk-51oLUN$%>4S!_sBB?sq3nv%~9vILryI#PZo)h$xx$XY8!zL;IbvWQ2V
z7z}C|Na(3B-!H-0>3Lua(1zFnuem{IBIiKLMa`cctdxD3yZWOqu9p&=Ui0Drgnx)I
zV=_o;S`^w~#$tNt3ZTs8hNB(!p~Xce`E|{Pxw!B_r1%tl|KPWL8X<#ga6PHNdWD1Z
z29Q7y4g9kxQM}{fQ5@iY_JV$&!lR{T=3y=O`OdWmBm5+No=rDj4k`$7-<opk6cmhP
zE{_im1e4CM71k7XKNRGA4ka~i|9#nn*asZG?;Y2niiX0K;f2+!xwyh{p!`oNA(k+m
zBRmzZHXu<Guc*Gfulh+NV6^h#OBKJCmqj@u{bLGN&x7=}l6)L$v0A6K0m&RMzGfR%
zpzWmX@(C(^=#mb@15uoX@!Sn@Pc9@ZJG7yoh^XTcc84F6y%F&a>041eXP2<M*yxuR
zJ}O{)TB+$DGGfZ`6k4$#xhZ17=kNfS+^eDbs<e%DD1+RSGT{J)Ov3Y{lD`gPuWte|
z<c&yQH0z%UCL49`OPsCpgxG_mX<Lc4Vr?7vu;R}(@yj@d14uCZq4w#vCe)e|0~CQY
zDDK%0<WUW1G2H|c@CeV2Fx8fqKC9xFGk3enG~jmSrRC7z!Bny);hjSOop-pu1gN40
zruZFri-$RAL&7`NEzg&N^Fm#m!U(TwdjD|>=9a+7d8Y>+h*-{*U2S=4$@6LUWj^p9
zqwl~yyQf+cidUtQ4CT^TFB}bw`xhaHHI^%o%U(R#T(i3gszV#GKlG36SXhcD)mJQR
za$rT58Y8sT&H1?2Dk7O%2s3r<y830W4ZotGgVz53f5mnjq~J4`8=K@;YJUQyzy>Y`
z4qJNGkoOP4rFKVLT#bYIT3cN_>-1vwdfA1vPeVeik@UB^(L7w>?S=~*la;2;=6Z$6
zIV~C<$)omU1rJ4TCX6|u?<gfu7>W59efK%pKgz3hwGEI``!OK&&H&SWT-M8fcYd(k
zG0=jw>n5+aD$XbT0!gw<^=poM3<22gE(>f*y82Dtsa!3?qE{lN!`?r>(a<|dv8<hi
z`9qWiEpI%o8*OdtYO<_y7S84hIv`86q_N&0k$2S*N@WY)c=LSc)xHQ=b}a2iWr9IL
z+6Ey!gfOUr$7NW)mp$5^dg*bSU%_eDA`3&{c4lMT$nLKUkDgY41Ayj#CQ1?<2qO=f
zdH%NL0kVgWyEpUo*=Z%}#>-D$-*}ox@g(V<eO%O&n>;rXerAI~_c=L#)!6ae|Du0)
z0tnzWM8wDU0~s`vd`ue8Gy}kPLNB;L1hVymf$cyyBgUe0+17aEUKHufl?-SVnTgB|
zcIk_yY00c)Nz^22+erw`7|EJ;E6($tXAmh<nONsLj~M+m_4*7j`Vk2souyYTd(BFC
zEF!7bMNy5;HA^L17vZYE!T&U+SoL06T$^ZA<WG%P2X@q!x899(S+zAQEIdzyjJ$?Z
z2o=FpMsj+0;wWkena&YaqJCzju5?}@<%DU2dO#rKh%OU73p5-h?nNgxgp<#tF_}8j
zHL_Wz)w;Fdi@7R+;#D`niPfQ{nG72B!w_E1`7cWk_z^I?5H9ooGQ93n(h7(8w>(@U
zK4iVgN-ubJYR5&61|wP?m0E&e_!(XTeNeZlxNKtfa8aK1JiRP2R<cNegZ30xfpVPX
zQHqUvlF#!{0m$}fr0Jr{YnO)npp=yzYk4|ETwVF=niyg{VhA{Zns3lPrA%p25qnGd
zW9&EREAJNr(0*dlYa_FpLNfzh2CVy9Cf1y4Cn4#{WuzW}Vc#+cdA;A)zo>ele{-?1
z2I>stYIwWopJ8ian48YP4NIlky15A1F;~u44Cx`5A<FU=+pogN#J;d1QN5-{gMk$T
z`pr7B7K3%}8>u84N^fOC;i9tTNh3iZx=~mCA-|9X@yA@{ftfogB!xZW&Zs)qm^LH_
zt$nI(*T*}9u4U`)*~GtsNkxh`CJ$!~l>VNbo(vrIbR^y9c&^e59EIHS214Nq!!I~G
zedo%VkGxmu<tX7N(#gzKfr_QdY7^YlsqfUJ1iwU@uYk}wYYL}(3N=95uAVX+bAqcF
zud#FV-)<xyZ|i#gJ}XP`d`^jVYX<`J@Nv<dZK%N$9ldeu`qfY(!Cvl6+LRiu29e;`
zC-OM>X%+k5MHICdGzrec_1WVbd8{ZJfY{KKK{aGbf$%G`I@PH<XV9w4bm?ul9M5mx
z4{c`!B<m%+aVemDJ(Y|r<2k*iZ!F6F!>+&5v0tm{PIS_U5XyDbzvDLI9@2!}Le>?I
zw-d;ucOB+e5RuFrR#u>F6L%l;OQD=bTXvP30jeO!@1mS3BI}ijN$TD>tqqq#=EgB#
zm$rX_3Rya%i>%il))AJImZ^|wQd>zcQsRx<(4qrDS%0QD#k)u#8xq0uchut`Nixg6
z6T7@rS4P@UPhpeZcf0p&7dGXaNw2hyqCXenXFZa_WB0u{>oRAY_i=$UG_Tu&=NUbo
zBBg`&0*{z&_kG;z`KI~9B{*hPv~#FSrzsO^-A2#WeUFEWp4KrIek%t`%+E@vR}|c+
z(1?Lk<jZd`QGJQ&Qzhl~Jo@RZK4R<MKdnnc_^nl*N>bp+CHQ5sYs|tt-}H;QSshHN
z4y$_ceZFB8T9rcl!boLs9Uj{jSb?N959x1lE=?%=7G{Zv#L*FVN+uCgeiK_Y9;G2{
zR6bo<yt%TT)+FPPjfcJ3P=v3S=~!4w6Dg}AVu?8Ej6lz|c#1kg0Em~M>5Zd(?`Yes
z@FNd4yUGOFus5?OK4o-5r~G{=-DW&*Po{)ZpsqjJo3^ZOYZGQX>O9H+JE9D1Fdz+%
zeF(mPo3qr~A4kRDy^t4qO#f0Fc0NPvTZdLxnMoayxQf(D4ZM$~JqIm<4t{hS+m5aX
zyzi4ojXgMcjaq$X=5Ji4MFjJ#>ah(bAaz)Vut){6@vIwp)%!ukFFcl?hu0BItm5*(
z2CBP9mm|wISdUi@Ofb2|D0ygH(a2TQD8Uq)ttNe#3mR0$gq!7pr*kjER*O-DLWSmy
z+X!_wvrfA_f|=EwBGD1O%SPn8e1FFwAAwzf`KsZ+$y7(^NP{b&NI&Ht$r69gpd6&u
ze85?~tB2R`?=P<_nj4d7*Q<{6GxZEvqpmo15A`@K<oWLjwmI6=`vMLEt42?lH?W=E
zXaqsL$1RQUaeO5)N8;n&0Pe)?EQ?E6DE-?9YFiXI)FJ=nQ1^&Oq)=PZsoqsa(#WLL
z5me|t0cl=XJ;Egv`Px-Q5w1Ub>_;W24`nkI%BuemXZWd}CXxs9cV3X<c;SO{|J~Uz
zvA_QO|D!_me|N~gmZVm=fkPG{!sqc{hpa#0%s*AiVn9Kv_w!HHzt*?^@U>D00e@=0
zSC`oA-_!QrKPPbl?U6mw`@7fw{j)g%kQ`^!TV~Mx$$b7tbAb()f%e31mC*k=9scKo
z_n+0Q_SyErr2bo1S)aA16dnKX5BqmlC4m9eH)1QvrsY3d`SXp)1E9UjpYs1+r~dtO
z!~R)K4%#Ni{a3Q#KbvL-+OyGq^<S;QzDELMenobX+4aA@nXa=;X8;%fpU3>?d;Rl`
z2o!k5S{TvZ;6Eene?#g&`-%4a|ArJWp#L|d?*DI<It#)6w@Oj`|FH34#q13YB}l<Q
zXw`%GJyup~e+YmD_CCXaYsDa<Bd57M*I6eW2S^T8IkY|Vi>xZjST|20OOF<|h7GZ~
z?&ZFD#tHn1Z!I_RL&%Ca0?hLp>*<YvlSumts@s`>)W6lq{x{(cYQZ>Xq}y}i2>Y|Y
zBED*Mqr%8T=ftl6;OPbqVC!D!u@S8nwkk$3W^03++11wkvUi*Z6BqELgf@!)s`c#M
z+`0(EvH=B6A_SNB95(Jg@oA*PL{C7hhoVDMugO)oMo>0=%{UvW&y2CpFLS<~Frxn=
z43}H)y1E)UNN~uBz#1PDJi_}u%Lbjjbl6r)>Im8k0`~bsOZKH^UMLN#qnuUd!70cB
z0s9L25@<FjqBT2(aJUXC?><4UE^Q1;uQEm2@sB4cyc><!agZ-MhWafpm0`f0qsQv&
z2rY-1H9%J0<D{Yr#Ir&Fu*RsvjoBBR0G0RBaeywUG4YzjifyzX0mAAxTc}f51>hj;
z1vuyV8|k5CRM!7tZBci)n7R@8Y)OfnZQ#tCFJ2tbat)D|J57$&0YBfUH9v3|_CW&0
zYUp>2&<){wyoGFJnq*HXP{Xw3HA`pw2Z906j~+#+6JLa;54F_vTPMIoBfUK}eo*;y
z#3>MhPDUuySnxq+0l9rC7ny*Ro96b4bM4OKHB`OxNb!sqiI2Zx&y_hC;M|55>K9gM
zuPz5_-E~9Cod5#jT!WWU#!e<pzF`H3a_*wgLBK==NP2j});hPtKS88a3*m*KkOsid
zWUTxIE@)JK&l>%-yaa$i_DjQzg^l`q&Qdycgw?za-vVm65#xmw{m-c5*tvNr*>ZwJ
zZg<HC6?BJxN&E~_&&+ym5MY=2_@<dcHbxlyESsC#6bo>r9>ctCkU4aC_hWu%Ha>~X
z8)!{dF^Q(ad63ms?12=ICojp8gx}2ES`wg$X@i62_ys!ktUFO+6)cJFjg@$5WSaZS
z`uP_dY1-ds%f6MkL+6VoBX{B<yoFR6*PL^QtG2{C;QGWKe@NO~#D+r~1}C$n%;vtp
z@0pP3ERum;TS5_wB(UE$Ipf`H@ywRla)ZulC!Map3+K2CGeX&nTuk(-;ZHqshdmwb
z{P2|rot4%R7GEN=+9{=YBQ(-WtuFM0JWXp=S#Nc9shtSGZWKgZJG#z@6mE+(VS{Wp
za&N8iZh5E*ke_!5B5O@7;cQFN2!0n7TYG%XY<lj6#GQoOM>DCT%tz53u*F^RX2->&
z3DQNBYL^Mvk1_e2@=6l{;4*$p_qAdH%M{3&T_iM@N2&SDHU%hwKsT~v0AIzi5Pd#n
z%5Keje7}H#maKbe7qZiT|Ce$_L)XC!)h6ObXCm!LJLw35<H!qjWWw;)L`qY7A<nwl
zqp|PN(udSVVECdg-s@qxU&8SsH#C0lK6vRvXd+dt+%5>HzYA)+HZos3SN3Vw<`Mm^
z=*KRE<GtRB$a4W0IlvEN+?BDfn$nefu%ck$o_S-O;_(UszR3>oH`WMcHV>T|y|@CJ
z1N{ae4u2ryQKJA@rfj_Y3Gf%=w<T9!cDfv@pzM3Aut%8FdRH)D_4I<aLi;;<Ev1cI
zN?5ph`D^sM@37qqJswL3&i+T^<%O4>0La17NxfL=%!|c!YYFMZT3CihMxJ>^QPwse
z5-^8XB|986e4sP#s<ynJ9L9d+$nN(&7)LIXcaP8ou>&*v`Z@TU-zo*pnGZjdd{6*9
zZMv`H+pEyNKRJWmw6S>^hmv%l;-j=B*N!viS`r}m`y_q~TajXGa}2bJ(g!2&E7yMX
zYaVrJAm`d8i2&qc8+)$BZg)pHhDER~NCU~|BY(Ak#jU(65y=nB_jd=wv|`<*X{X^C
z012_!%-Xh_KFhhbfEo#NPtrP^SOO16oH`7@TM!W<T9ux;8|=BSV*%f`^nTOu_{h25
zbmikRsp2h3Mt6s?@me4E1K{7v+*SN~a%9Nn%B}J{miLMPe~#;I)d$ZoxBN}9)y~ar
zRhwyW!5obEahiKia)>*B5wv4Zy6}j=SyX=baWuxQ@OhyLyP~vSVO^n0AxWj>Q_<M9
z2k_7mk4Z+OWuwVd>WYw3g2}Ln{~}8szIK(rywHd65gD0O$X+N-gMZNp0|gyLZ<R7M
zg!eY$zXY+{)uZcT*659v`PzDYnuknES%r}oPIYkxu1{O1BWehP3lp?KA*BiKm#0AP
zLpFTct|F*zL^9LNjRhtec;tF>Ri}Q4zoy(y%jSHnmQ#J^?vOkyN)KmgVqtTfT5Uq*
z-qQ;+Mo%(CdmBI76bzc`60zv7EDP^iBF&lBa+&@<z`)2j40D<NYDb170@|GBE_D^Y
z%q;e%#xr-2_ZJv_j*KS;x2&5!q{gCvg-cd)%UWwp(vdRH4csq*d&Io;7ISV|TQ}6t
zdO(!^6~%~i9d^jN6LY*MX%uybDNdPdRt`TMFsbEF=)WEZ*$FjUk5D+lC!bW|j}QD$
zy=r!1^j+FF(^-0`JgO><&oHwyGQwIh|MAPLq@K5<J@KuD&ayRoIkSV3;B8<rcErtn
zRQ~(|9DAi$81^)ZupsPTMOipUmNSS(+{l>g%sLFpdp6ZgOY%;hA*@GgF3dBXmMJ_J
zW8e>nxZYGudK%S?N@%L|Sx;nkT&|GqImlJ^b2?!MR&-BIySA#zzP<Kv#GcvdAg6cQ
z+T-D7y``fwO2M<VvsV_AzBB~QANRzK+EmD-AMv0E4Z?$@cK+d0bE~G2x1~xH?O47R
zv?iqRaQPamtSP;$`xP7aRVlznBo#$Bk}&<n?6@D;4F@~MHow2dTN^_O!xa~m%E5H)
zWzQ`=<RBB~iSRrYFWlVsO~4LlMS{j@yI61NgueCg8AQ)0Z5y~SNNmQWqEcT}d37#`
z(doxl<y-`M*tG^oV5gd!ErnZd83b?Ov+axO%8!~D>-#EeNc_*NjeI<^^VXBuhD901
z=_U(ncRLn)!A|o2`j_67Tx{#_#sW?*s2;hjnIpWn8g6<HVx`8OHoj?Xn6Z!&7Rh$H
zn}~9dBtXm#Uou#Jj6Eh*qd5h(Spx4(W3Ne%NnrJwf>`g|5L!Ai2CNsiYTZD%P_yH&
z>1y7-4HBuSqH1gV$Vykh^-hvAuGdTcP1@sy3XL!>l>IHb7HpXOKC!4?YBSNqb5tF4
zgf-;Ls*I?lW{xF~DCBlGku`Y`T#gp9HaA<1VddMPH&rXHn~zZgi(iNS&M4V@X>wp9
zb_8A9v!Fr|28+hZs1d-T1n4h*jN})Zta84u=?M)o_DW|U1Q$s)Vu^rVUYc%pVSWC<
z!t}-X3qG^`2QM?r9eeRDf)RC0H=K7eEmcPf=Il_=^`WZpy1nE{RSWuIK@g4VsCcSQ
zMHc%Gqidh5-jt6dMtb;C<PL%${dkC{w<L{F5*OeBX)S?N&|vn$ogtZ%dBG2kLejVQ
zBIR)gHAOq=%ls!ECJd<GbrTo1nXjGhZv>f5C$?zt8bo|bK612%Isw^=rA4t)ug(So
zGnnPJ*klEng8Z0A;wE6@?%}s_GP<%WcCp;@L+l%i%IQN|2y<NnrhPigon$FLq}AyK
z)R;E?VTVgo2EHoFz4GCr+oGm{)@!+y0>Z?(4q3<7NFi`P+R?fe<hWK|hb2t!sSXzy
zVG72N8l1X6enWCIUJ_#@9d=4Hej*orHGgF3{r!jZw5cywKDPUCGL=X6S;9lZj#I(O
ztv0BJRPFmZyRLN47SHr1T<vx>pM}dOg*~BSxH1ZU!s7SVD<ITQxXj}EgD8HAYZLUl
z9hk92yx&{2-lAG;g#Yj3%rP%E5uuZbAn4xOacx8Pv(ds-;iWJZ$;N8(01q)eA4W?<
zOLxsGLx%mTUmF-(p)9sJ-Jrc6q%otbqSl9#>vrQio@{TLX9;$2xtO^w>aLNS1Y9h1
zta+%rJUP`NAksxc_dD8XVPMU>61*qr6gVKP5UtA+aS^oO{WCLypN!@^o?nH{A?C^Q
z_hHxHOQSK+)mP19ZqJ?a$4az_=&z>t$rWB$dO%t(VYe04wda0&5q0$B0d~@rrOkn8
z5Hddb!hbobuA<CuWwKy$b8YAi`4+Np+%K`W-t(1TTN^c{h107RGlv#zp0}kss|BOe
z*A4eNe$YIg{(11B!_&0o=ffi9Uri-?t?}pEk_89C2XGOb3yB$uhgZRI7($O%eSZXe
zt4C#tAJm*MLV;@Xl<RZdtYI|h2?5P^PR{SS7AiYT7>umCxTQ1fRedaV1v8VwUf1gg
zEOqK19UYdf$>o9dGO7}YyF^HY7B;mA2Q3T?IR+Q9J=9z(S$nUuQMtqq|Bactd*x)C
zx$y8fWKGnXSFtN$ol%)K_^7GmNb4YYjJt1u_<A%w=oxM;(J>;@(u#E~oqtCc-Oi4`
zKdV5J(~%R~ojqLVa`@orum;ehmCA?V(t9mWJ=W9s%R@ts-;*_4Nb1A&hU&#9jX<@(
z>Tpw?lS7f^o=2N7#fpPM7DmUk5zCJ=-y5L}Mi$)H)b?a?vJu`#QYRL4ZE9UsAla({
z{laNWxDe%$D>dJ3Dsetf?w~D0Ew)>$Jp~bS^=DJByvGxN8OI?+=Ul?F^fl7GYF$lX
z{#wPJ(eX_dbE-l{51OS!+@{$?^G<k=*HY!(-4U~~A)lpmNrp9{1u1>|Nnq+pm59gA
zr_+?b@%KK7-<&~YY{5<^)Fw~-wtl6<y1q>2D6>zni5QsW$JVX7GORA;3%P0Dp)S)T
zWmM#gifw3p>azUa7hv&z#5Q%WpIM%z{fKR$oXrt$>v<~6Y!W8FAl4Zo=0$(Uj0-6z
zga&JBg7}=$f7Vm!@niS$^59w^g3pG&b2@%Cw>&PkVob*$wK=9>jM!N1S6<lIstB+j
zd|d~}R6FY0um#*O!YWM;I*;dqJ7LMILB4CZlS`h37r;>)24DQa1Q!whtp%HE8n{pX
zIN^A!#%Wl-8XM$aIBvCVSkpUAbdzTp&EUK)%*a3z5c<K~V$U3%n(D9=$nv@|+r6o3
z=IabXJL6#uC*v}M(wT3%HD3><SmlIv^2+BcjG{-~OgfRC>qX~&iV7MD%CcB7h!2&N
z-g#a=RFMvw0$}Z<@+^Oc0dNk6am~u847IDn)=}Da;=`#mXc(49v#XoBT1f2BSv^oX
znStHX&%qQ*4C*gEDifP{JSc1?8jaZ1O(!_`r#k~he3j+h&Pyb>6qdd)8M(PHd{<&Q
zZw7lx+ey8TfxS<Wz$$|`5>U5Hn=Q90Ox8MX7lmc@ygZ5bO0$Z$!Ss+oMeGwdYQ6{<
zMQOct`WUo!LAFh?O6EEd_o)W9TB>urRPy0Q>Tbk`t=+k`6g}cfg%z|?o~T>Mqz@Y(
z`~p_<Sya`Htfzg^B_I;2dU!)WUSA(-m-<a~8ZCjRZ1=d@=IbImK?D04Mv3yC_QG?}
zq>}!CgdFcu#9@Dh$Bs@rHH{jLB1Lz72(qhEWj&Bx1o{q2)D-Z-+8{~ULfa|yJPYrS
zF`=y;tuavS6UxvIf-xcX8k;38MXixP?Veo2)Ky?JH$x<+w%C0a>Nb(X;APyXm7^D$
zq{a)ef%5a}+YG>e_*6?l>A#d_|H(d<<%Z-~D*3Rem}wgK!)vI(#z|?7xT4XRStUuu
zS=qMmTb5+->WNy}j2=fCHoT~7=3EDCpjmjJ3e7uj!$>ciIHKmbX9Dx-WQ-HMZB(xY
zRx!mIB*>4MS~*(wgNO2jar((KGI_Ofx`=OEM8^&lB6M&VmMZvsOAAG_dvGKQ=^0&m
ztaHb+_3_l|gCc?+h<8_|=e8BUZhAubn!P`2Yx82)Nn+bU^)F9Q1Hu?~xF85Ck`dt9
z=!gt?RRbGwGAa`vht1{G-!kg57w8y9h>OgCtkP+Y@6;^Nm>}eDSq8;;VtaiW6AoW`
zI$So;!yIW0i~hm@HrV+)`+Jc$Qei3`I|m-!D~Y9r4k-EYeM(uYBVuVGyTynDRKGr^
zewF;XMLg;-74;gLGsg$V@%Si@g2>o;y|;DlvnoU&d_Q*nbVf-vHQ&0Q;r9ggackH=
z<jFeWaT?F{&OA7*J4+aC7q-jNd~37dtJaA*Pf_H^L=kEHFh~U|uIG~n20vBkGA`>r
z)JA1<t@{<5KMS@`^&<rjN$EZ3x`f)@44sTE0uRX_j#*9yjh6!^o*5%-HJJ9vMnCqc
z0<)u)(G)6XzfsYT)&&d%V;h%i{l#=`@N#n&(1%i~xMkrgMD@z|)Ra2!>>T!^)?ttQ
zbj+F7bPU@mo^Sod{(;4X^&#mtPi&`G`wj@av^tS*rC=6cp;4z>VU-SF6=Kox!r*dy
zPEKIyx<y2=ZhgHyg5Y2%0j@=@=39QAQYC^75)rHGrF{uRG<W2VuAzr6CU@$E9<v%T
zsX+74-amdr7#jlJzSz_FiT}{84Fw12g5$z(B{B9Fj$CQlgj(($TXf$WQugHQJrk6#
zKToyrr{T(yL5s6H#uIgF5?b^81ssGmJ!)TkgC9Rd9P3udt>Wq;JpAPb8LhHllW?6X
zf$L{W^5y$^iBsM+M}wJK9+Gm~1_ynMOEtjlK~4~Iv>Tq}=*@7NtA*FXN}CrSo2&M?
zgt9KfhJ}C=6LZBks#?BkEIV&w9E&X9TfQdi=Xb%98Reb)w8->5&saNu9<753Z*RL!
z&Ki<84`$jg+pIUO1-{|(D=DJctrU@JOphZXh%NV^SEVRKer(*-E3|I19dDm)kAi@m
z64GkN++1n*a{)l0tCIP5xuNlpNtT4;*ubtdWx8#7%?y41vVzll4#@+w0d$k<{@8G#
zC}jre_evdFo%{je$XfI=*R85|{aT;}9!c7<ak<Ks=01(I-FlXqdhCS)J=+f_hs%?a
zH8dHJ&qvde6`n>JkmB+3g~`SzWSVcbh&3i!)!E}4aiKL><+OX-5PxLN23zjj2Hx-U
zJJ}lAD2h85*_=L)iXzsQtek4uv?5-ZY9S`WXzx#W4|aQD)z~7K$D?~iy_A0Qj=R8+
z&zG2LJOrSOf%ZYr!PY0~*jH%<Ro>EC#y3L*2+oEQUAWOo*rnVw$-wQBUnP=9X`QQ{
zuv{ZUsF&%oefk<9&pD7{<I?8^57Utze;uP9x{3WSJuFrOho==@i0%}VL1;tohSFrg
z_49#I4pBRf#d9RGyzI~78NaklpRXy-+1=({5RP`9){5$#X3Wvqrec)1`rsmcD|N(%
zn*|HYd9qOJDB6_1k!QVzDEA|+EwFFK($x6scy(~uw|<)uzoNP!e+|E_CAr>KM4<e2
z&+vqum*>QYj(QF6AhRLo{k>x}Y8)n-qgh{xQL{hmYeRvl-M*-4?(Xn`X+Sn}JAQY=
zFS1#dQn@lrxqSAw{8aWyg`w-PxczN7Q>Bk(ZxH4F9nYDIk1g_OmX{Tc-(EaL2URjw
z&s+rI2Tc9lnmdx_>4lxkKVM<MSp`tamq(I&%zxo72{uy;OPFh7D~$NT$5J(2+;RP@
z*<8bUiG8gDNI?D2HRRoLhnLEX4iT`hnoDYK8{ce~6fc;Rv?<_z!!`EEWnxp!71=$t
zw$!SAELBLrX2^w+Pc|huH5&tt`TS!sK_(7yS7QBcyAw7Ry3hxA_*2WhV`W!5w&dn0
zi;8Ex90rxx57VL9mih`^7Z0@HC^_O*TaO0(5VzNl0lPZM_=lj>`-xuca4;TM^PNV{
zWq5y6a+sGWIC7iXboNfF`5Ks&HgWzY75g4}sIye3@NrW2ukd55X4A`Ml{gP$92f8R
zZE4Wk5X*Iylie=wHyz+s@g0o2=ua_%%`j}pBJ2^`YH1y$wf@0z=c46a|Icp)qU{{t
zGmA94Zt_>P%90<oabxJk@Na#tCbt&#-Awe|QG#*g;RE<!=%F3+laJ2z5yLG)cN?|p
z)~x9A`jn{(EwWv^6k5H3%Q`@!)ER~Ch;;lDvii$3$6*)cM><Yd9hRGg?j6$CHFde~
z%0@mCV45SrJfON_bMWSCgCX^H+QhExMA<^K8!a&tp$So)YRx0$3(l*^=q$4>Qr9*$
zq}|#}ibhp6gHIas&QsODEu_i$`K^Vl^|p6u`Y-U}<KdHE36A}@yH*lS8sAU;8ZRk+
zfNQn>`4Loo^{9`^zZ13@kOPStNs^B8vD+`n-I8HWa9p9Tx1Hgs6c`uWTHuxF28Fd&
z947lH?lKxrGyDA*qO<JE!-{IrYc2b99Th|Tp|mO>izJ#yhe_TaGD`FhAJ;1zw%7I)
z{&+rOHOqXsy>^+~H5}soV?~hq7yp#=$BO9QW;f{0?uV5%%<1mFKRYpW1;l=ow^Fs&
zd);0ifs!{>h~6DCONL=Lw$fp^DS!EN8PC1F&Zl~nB^S#b>lR#S+}B)EcO5#9BPWAJ
zFQMpV4=cQ1Z9LLn&7|_=#-;Lyl$ox6HVOjI#^F87hx#GLkX?weaxlEz%pnjutt@9w
z4!M6>gt}gg&yxR3H~EO@7&?Zfg~aFM#!aw&@AnpU;sY^Jv;kVOe1xkllMXgu)h)8=
z^^<Sb0Vf;7kWg=~F7>&)?IqcRk=QE=`xnWPy5r`ruaMEyu5i=XDxhVKW1}N>R6S2f
z&14>km4pO{uq<83oUBAE&n6n&)>^S#cb!1Omx^r^W>G$6HUz6HlDJm5&sDau@vjQ*
z^yS<_HtF{fyRyVmkU<`%u&Sa|wCr7h+}EjNk|Gz5rEHpN5#Gt@aL2E68BV}<zOt4-
zebIlpQ_11&RF~^41NZf!L2SWzqffz2sRmc!gjtj~uBN~3WEX_!h34@3V*H(CptJb>
z->rl<)3T9TkqXY14k?>;NBjFjGE$8N+D^+NOtD8ntIz2^I+V2A3f|)J|CplnOzH;*
z$2n2ecaNs6_unhpE(%DED@wekrC^eKpfAk9)cH!uygA4(_Q~*j?Mq-%IxKoYom$G)
zra%00GL!pFP5ZA+(xki$_ZlB7Fv!SJS)_q9?oy@jLRg<DsC;}LeZ|anI<cSX7Jl|K
zn&FlSmB9JR&(wTD<uN1#+mz+XHU;(YaI>DvW|pqrBoE$murO<UCcRG5L`vm&-1OXq
zJ26CfLSInt{Sr;<;cEQKtR;=s(&-igL3O$%{Jm2PlIJ;U7qF!YU9HxI0|4a!q|QU%
zaeLyqzY9|2mZDjiEpqba`<t)pIj2i*ze}G)La8Jl-OZwru?DS<c+lT62`c~aPURBH
z{JFzBvs?QrOH(Pd%cFEPP2@(ej50DAWtSKojLdM3tPB@obx-(KywOWP-$}sD=a5j3
z^-#eQaXFrM(d`EGF*pYUE-s@OK)CjfoZQIz0K$$cZ11+2e#JTr>6Aw`I`fj-GKZQ?
zGgH5sW4V5J*)O&EoiHpggEC8n3)ar<w0+U{J^W#W#4+nJyw@k-r^Pk->c&Ks5EVqb
z!eldPWM>oK+?K6jR=+}6JA5Z?$7xp$gU>Q@{+6kxg_ro=ekFA`Oupg$@%Cup$RqOO
zG`V^0pzA&}7oDp`GnOpa>a3qz-EOY-`?0eTMP+_xD2d`Xr>qE>&+<d#uQcV2uw^U5
z7GYw0d-=8|4FP$roFjtg@r~5u?cd}kb30<l7qYvL5p&+?VfNnQmwV`bvwFqE`k$hj
zKOf&PWGJ5brx$=<oy2t`MHXH>I`*z<kZH!RSSdv^>1$*@9~C^M&~zv9A*G@#gCvn*
z3l0uRCGq$xwcC}d!tP7*Ck%!U_)5Yi_rjb;uYlepX%$ai-IbY5oe>`SHc2yg=r-Dr
zxVABKO4u&#N3i?6^d%hnHg6daA9lod=xf2@>^X4ww%Ao?d5<@~MvgZyxj>&P%+kZ>
zZ7kC8oEgD+ZcO9T!<Qx&=wbKGu1i6<eZSDi=yr(@jBYQPt$)h6h7%_9iB{|yhF{t9
zahF9>fNTvbZS5~SF@8eb94Z01FV`1IV+%4{L^-gV%`*t^aKNKdjor?J`xXyeW@L|B
z<+_+Yo$PY?({Z<6g|<-D1~=P&V%QYC86IHfmYtZ{>RP2g!?IcypEytJlOX&(($Bjg
zgmv>}<7qozM3h?o2kBGFo;?mMO>Ma2<wNqVkVcnY$a&%Gb-TZF=_h9|^z1m=yh#hc
z^4wX|uK6*205%b|+-8(Gdz<B*D2w($sl0PgjG>Uu&nH?0G_@SUO!Sx3{>1>|Rk`Rk
z*0-i3QF0%ISSMont70R<NEE6m$e3d{%es$Kp}gQdK3o%7iIWJ-A?<XflR8u1RV&Oa
z-tTuJW@O$bb3ZKOWHEa&N~A?tI`Lxor0Q6d_^z+SZ=<Q8?>nQ3OdQsD^V<@UW(Lja
zm~Yt#d$(A4cte*rGoOvri_<8U9*5WM`pcV3T{b^c4wLJ-C!-T2W+Rb17Vf;MZ^m-e
zOk26fih^P=EU?)LF9eFvvxE?a9F=0P@0_Nt)+m3_T`2Cvirp4gkf<}ZQIOp!^n*F&
z8e#?MOfFk8I5ca;{G_u87->Fe(e@Qdq~$v##W3(4W+nQLaDfcRu3_kuf6>~k#MdFo
ztBne|2RcJ6KEP~!zss}exAiOp^$qBqAgP~RzAD>dbEufHKt9Vgy6xmp)mAnUo?vX{
z6f7}5YoFX1Dv7^dYR+B1eOvkxHDOn)_R|+Pb|ZADuZ<j2>}d+sO{c~#Z~Q}}3Hq8H
zQhQN)jWspbWdG*hNrqIjp|!g=6&M44f%X#ZrL0+xGgS^QnS4b|CAk<bA&TE}s;{(<
z;G-E|mf1zXr5;F%d<;FdWP9SZnB%Q3Yr_;X8A@#-4P%{mnNHR)Xh!nv^wvof$9S2i
zI<GeK?VTrP(nu9^&aJ6Q`23a$zVa)mvKhBbqv6vne!LuV{AxE0Hb2p|W*oa961O%w
zBjV!TAQyK<cT`?fUp2SL!8oJ-aK5ykvEI#-AZ&I#wm<i6;Al%m+)xkWb3F2@efvYu
z8bhfsZqw^{WS@V__o((=m-c}P({5kLuiI&D2-ow`?K$l%bM%!=QIr%xv<C7vS!r)Y
z#k}7sE9&3x7iYhCk$BOStgD?zA1Zy3&${6}T!lJlE^d5WvVNh35)4!mdoA6isNZHZ
zSe4u<W>RaS<>;GPUS&&GWX3#1-_)IUq40fwxBe%mK~h8ZoX&NnnD;wUwGAo0c&0?l
zuZ^z15;&v~rO21>Kt%Jlm6wR3ouAVTw};O&AC@5)8b8S4c_m-G57;4Pp1awn`gni-
zWIMiOv@T_1P<5ymENTM5Zvh1s0;oTpu~)+g0kx$)k8Q_fnx*y(f8Rk?47beBudMvc
zAwUOGcd4G39E6RCr2E!9clpKwN@*AhOwUl)UXJRfnBql30wSNBfAbEl4qcOh5-b__
zkE0_Y^W-XWv6?FB>A(1mEW{k*Xm+m1WfdQ3L1r1;jVwnEniW!qBh8pQo3v+N_Nt80
zqq?;=Mz3ScogGFVvw}yfDL)2;5we$RcrVW0r)M<X4~mq5#I!$rCmek-lK!jcPUfro
z=nMvDd@)mF{pr5e>6-*NO;hSdZ0~T(bhuY4h3%}`*ET-bwj#*Il?~M=aS{9~2#H@3
z2$?03@12hOFcR!<+wj(GuAAw2Ajy!)O3tRz*Qw-{rP8sb?3>I!1&o4`s21ClIf<-X
z2st%wMv%obSjYr<k%7W;nla<eZ1MwH1|`wg3LhX2>_WWP@sEbbgYlhYmnNGrpd-=i
zs9#<Jn;IF%jRI~Z7d!>g?b5t~Zx9X98^6AQ=f!fuh5Hmtnptu4;+qD`{fm(wKH|_Z
zd((`QB~Lx$C`U*9i-wscm-aJ5uMT(mdUzug++MhRx^k>z#MG#h79!uMDnB~^K;~OO
zT-Zywk-lX3SCJi!dW$v!DkaACzGa-Q$?9k!)2qU1=Co^`;R@wik3ByKODKVYkjBG{
zWSjTyh}A+CR`=8084<#AxY>R9n&7OT@Bldjwx1r$wev&Qeb4vQnlSrZSi@PmUi@^w
z#iYy!((HT{W7{D~?d=%0Gc%GVWZs@JE#y?{mDHSEfF!4)bA9wnxyzE#qK2u=&M8rJ
zWd|rN9xUO|s?=g+M_1kFIdH2Y)Z^dXAF0!I9wLgIUp#Sg-hw=TG*u>Ym3-kN<}e+T
z>}Ya4&ER%{MM-~Vc)5hTicI6jz}!0l2eYuI#1sE*a(@wF-knZzEW?8^k_)>b&Td!1
zEwYsjq-;nP0lK1=SE-Ds13#3c|D*Wy&;_@giotos9d-6*zR~3e$9HLHJFo3^39Oob
z684?J5H8kK?Ueb?i`3d_37t6Y*vd)Gj`L<BXW}Mgf4i{xn}E%RX2=WQkn^+H%tkHk
zQ?q#IFqF>UuhyMckqX6b2k@NQz>_<p#5c-5u${cLH!Xv|=SxD$%auH3V(y&)r}{0+
zw%lQw2^Wkex$>dzQ@=z5F^t`>iT{RMXj!bB)!uX_h`1akrVtQx_zBL{Og=i@WZn05
zPIpJhp0%p;on*CDY%=JpAcpXQcxQZsN-uLt`9`!K!<EA%!G2i>$Jt^(=@iU%okPqQ
z8v&`N(8=AW;CbM#Ia4$v0?#J!GD<GVQ_@{x>XzgUX5n6UYsnLe>qei~y5K*&UTwCW
zF7sg}n}?MSkUK}8O1gNeghw-Kw%7N|5U6`ZEcYqYcYgE*0+i=`t4sDOHr7B{OG~Q`
z|7sBG<hzs#^Q>MPFhWRX<io3Tugq5k_VAM#%T*2)-gA5K;jq4rQnaDEQ46-M0#3pw
zcy}z0d_Hb1bjXTe`Sj}>$#NJClK=4OOMQr`z-%PCUFN)ez3quw+YTL$W6^*0IXuPj
z`Gh%QUCE)vYcT=;bfVK{_k1#5-WT1LS$FP`QgGK+OK)yg!*tHsEupe=sKrA1SJJGL
zZ8SMl^#0{*2R}LaY%?Q-bKQUXSTL#|CLtHB)<8@K&$Ai)xIhA}F7~G0+xCar)C_Zn
z`L1|c<^*4tNUi-D3lmO-(fRn$m6WOQSR$KLHR!d^_nVLLQHq$L)dgkyORoC)o<m*&
zXchIll5WCYzr8HFr4mlOC5mFaR?cU<c}LBXMYG#{M>;~jNpZ^D>_qAg6xo{3*si6O
zVZZi)=dcOC{m95n#!3ONZR4=9AcAWyY`+g$=aaZh<wGv${YgL5fm^6zkDzQ9Te+{h
zfHtq727KRlCJ`B_Jz!G>;q7O{?UP@Gy3|WdR;{J8Lh(BqjH~hcTM7#D$8`vVnYS_#
zPY^tQ;2D<A-~u7*RpG%3aFJeq+!1{3<F)2FrnKbf)@Ux9u%6_A&kENgvJ`@@CrNz^
zIj=lgsB!`E^ZkQ!ua@7Zo^yB}ctOlp)7IiP2W1*zHr{wFQ}C7n$1-0O^YhQwCU{6<
znL{0@)vpuP7uBa<avHR%Gz(8jPgOqsDUF?*I8SEUcXeI5NJEx|`~A5koN+Nl#u$a_
zzB#9rfZXvYoH(k^U~(Lr%D#R3b%W{lM>gr5PeU{O3k=xP4Ap|qMRKR}Zw}j?HS~My
z%*!@v2n&q9X54N$Q*V6gPu@1gV$vdrExm(?JHsgJI)td_>lWUZl=_~$GZcOFi1{wb
zk+)4#a+0^dOA;d42f|OHUapv?B8&OSPt9w3jvL6RjDDMzJnEG~_Y2{|^>MwR<3-Wb
z8Ae_sLngFvSm)HJh~I<$$CVeqkv^2z596o11I|e(9xV<z$1+3%clc#ka+kB?du~Wf
z2wAGlngf%DO)NRsHs;$@%LNUv{f-iNe~xipTVUIPeJ;RhTMInWD!h%XtCR0E7Z?e7
zWEtY5&fX$TrQp5e_rth3D)LaraJIF#Bx<}R3UY}pgx|r|WTwsAnw<CQY}(z9&l+#2
z7)uOwRCis(+r=ASCGwI{`|h!x@Y3$TiaoE#>$e`#BlgRr4YMnqKOzpEWtfc(`M7kw
z?G1?+fh!0_Dx}vaF!u{-5G?FEL8efbYePjdm=)pR63y`Qtyf7S;MXgj{#8TSVW>ra
zf(6^myAoN~5FF9olQH9Xf0IvPpp=GSuvo%FowpgjQe0^+TX@J>^EP$1ix;hu>^Vy|
zo;WvxU?pd~+pmz^{<flprPfH%fayycZ04#Tb>uSttKX8u=UU1~g0?avGKSYqREMrY
z`b@5$?%($eqOa2MJd`$E(E8wnmCav>pF+Lww-1jP>Q$EW-2A;CzO*K3Ev(Zc^gJ7-
zpLkhfFtVqsYGWr+NaJ*O;=_u(v$XhR-QLE*wTFz65+Y5rU;S_|#lnc8TaZZk;N)Wi
z_0aB4p7rRH7Lj^Z8D?nhQfB*=oZe*T8w?tjKPlG-Drf7PtXoKs{oWS&6CE@y=XQE5
zQi!Dtj=yOfrM1^-AGGjTmZ-RWqB?%adR%}Z6jZTa*_9pGlm4Jiu#5bj#E;4hXO#Qo
zObxC8UatT0SJR0m?xRP~S-BWfhZCGbABb#!5rh3~wJ~qTmASHk^dcqk<L0r#E5E$C
zPsH}Hk;pD&IA{Ib|HIL_KQj6Lf4p)^PDPHxDyPaR)SM?NtDGtoa^46Ta>#M!jUo)8
z9GXKYD#sybbDAONLu``sVa^-FHpAEF`w!ed-1l|euj_ifp3lb<q9Y*HXN}Xuuuf+;
z*x_RbCwi>Hzz>y$S{I%U;?#p2c+4o^-HG>r)kQ<fDaD}n#xwqN|07#qiO&Zel$TbQ
zq^SjbqM*g+^C&iZDi>ef17n^hLTyMRM$bFh<T|6^L;Dr$sT~{eP&Uv~yZiAfxw~ex
zlC8ScpDYdtFi~eX?a0CwQ9!yKfHKVyN`$L&+!n?%Dg}<-sC5LcYXD#vlWJMW_mqK!
zAkeBEaMw@TtJ3Nuh9qkk09;C3KUILS)!3e1pe;6{xZT!1Cy3Yl{L(i@j^{X95w%)*
zhsrOWAS?RFFE|=(hmQ63JM}Z63&+nXq4FfSi9CPj_T$Z!{kffy{DJX-+gKarmeH;A
zIXbfb?YUI@W7|>}<;*gW@+h{I9_(HLiVb^oXPJX<%%<426Fb9eUfown(3xE6l>PFn
zf>7wBdsmJs4ek~mvNBAtBW09m;oI18=coj>hIW?b9<3{Mqtc68s9Z_CxwIo_>M!kM
z9cyoX9^^M(+oLu!8p`r=fz_6!yxRbtR>|jGQ&Zz|tg>7geIA`6Ot@A&m|{RnwrSy2
zg9sV)9(HJ?OBafyWP)4x$7w&sQ!<s<lOLP5N_}R$H=@rxT<`z;r<}*L|MfOVU35r#
z;Cmt|f_Es*r8}{p@q3qZcH9Z~CNLXY+Ifa+N7QGyBwdy_CTW(9Z>6j$BskZo;ztkS
zQx;0*Fmq)@C6!=C)$g=Y!|?e3;KAbbYs)1#Y?D7FP~5?nH%XC@#yJ5G&|U0C1yATu
zu6*#U92Bh?$-G;*@OZ03BG|wDL6y|V)y@s<Q4&EKYZDvx1LS94{~ELR#tRYhN^qt#
zQKF<wG8=s~3rIAb4lO{c7a*Z?uZA4XKJ53>u<~M#-kmp^4u%JhAO7+-59{g&T(>BD
zF;nus)OTy`xYzU%d+2t;{KyY2Q_1F|>Sw6P6jkX2w+O}aMynCoEgx>9gbe2IbKBmY
zV}(69<<tvvT;L6Fubp>%;wjZz7<DGudo;f_3Dw@Jn63F1l$j=wel>%YD>HCpKtt1)
z)lWvSyW=a5N&i(5u5=({FuGvF2UKy_FhSP!Y;U$GpUF7>)@f?~QbfU(+}4387UW?r
zAD12M`T{8YCdiKMF`FGJDF;P6Yq(IJ>v84fll&5`0m1PbK_})@7tPeu9-h<}$L4{y
zO_ug$jgLBI!c>CnP6WI^2TPv$9m2cmz9Zkf!h-6z4<YVsPg9bMcJbCj#B1aIo$l>r
zh?!y7?%#mKQR`$iS!(;H|2`MuqoB|sWA*9KgcdTdeq%;#X(od+BK~T4R(wmQ=Zcl1
zfNWFp^@Ht9UDP|Q4CR}B`L%hH0AQ!LwVE|3js*l2AD~O3KXB8(-)&2v7rP`UbDloH
z`wHpgCYC9@Rg6-+eUa*M!|10gUH4(!&n`Ecqg1nrZvM}VRjG^v7U{qzwCl}XZNH<~
z?0e@>HbRfcaq(*|$<l7yYL@8tWSQzMV<7WB(4&*{vP6u_Yc<T5IEQHea|(hQJ9_Dh
zB{H01p;~GnU03zt?pxxxyA(*c1$2q&(5ELW5-1hveTUC}!6^jF-AD_Tbs%>ZS>BN&
z3zm_;97gLgXMxgTd$V<H*N8J$qNa>hgtFe7)4r)|%tnH{2JDQZpuUW&>vuyzp<Rkf
zXx2_4f})+ti^JkXk>3Sfc%|76B%#<{BjakjK|en*GFPR;lM5a?M5&e}<^$&QcmUqo
z)p=XUhty9L(ujzY#j=9Z7q1HTxQn5rWF9mrgWzr;1X48nQK+tZwLA@-8Q%`Vw@LmH
z6_C6(YYqghBAaDy&UjqmYIyt{mXg+&ECthu7WU{`?9=8tGftwYRXfiG6CRq>6{M}U
z|MuM#BL@LrY(7aCXQ%iIml}s1-}PX{zV;5De{5fL(<>#YG)<uMmE*GoEc0+@#BADD
z#bKiR8nOUd_D;x5=ukUutUDMGG<sd{0*iu}0xPjV1J6f8BQE45nbTBlDe)@NZU$xR
zzpvbj@wBaU+fV~uY#w|G@VhSC%?8UEEdTy*YAPFc`oMy$C`5Ss5kRZWYsL)TlGIKq
zq@8NG(+NF*FM{`la{f0o*WBsoTsT3xHs_b|1k>)BCrvl~LkH&gL(}%MLqg0qBRI9A
zV^n_KGIecb;S=ie;kMZgmjhNiJ_Oay$0J_1n?r?|I@VBiHS6QR?7A=2OYPe?!yc|*
zbl<P&;_WkWsSmFViVzn)0ohkWUo2fLT~Y4%rOBzYpk5p21^(|P2ehFEI?FCce~Xx7
zwW@N21QLumU&a)UsnM4Bw$p;Cq|--B%6J)J+rnlHjRU?Y;I~k?@T4wdW4jD-{vr5g
zx14F73E$GIhlodZ($>t^rNv<m*UBp7b`m+<v(1nl8HYQ397m47Jq@#$@qnWT*06l3
z{WiPJN6Wo?y~~7@MtzrSer9%z5BY?qJx~;lrLNl%8zX7F8!ilo`^{*w0rAF1=fZw;
z0_r-!KmKm$3`YoC4aH=~$Atw;$>+otuf*vg<%P;GS4)R=_;)FK0kKa2F=_6;E5k-3
z@8p*Y<$w84)L%BYStk6&LuyvNd`4fa+GihaQ?r&OOMf%EQ}b^nN>-$)$0kbXf+h5P
zI;sDbPwc-<QySQvz$U@qDr{27xAkSMZrjpVurk+7jpu6xt07<Q_|HwfUX)wnfPSXE
z%EqNt%d>xzkf>0jyz4joCz?4$xY#g1eT|__fHUqc!}~<WE}Tq*zP;aPK0$$^1p|nB
z$f1#OaUnfuL^U+bHD9Kh;zlRZn0F>Gs1ehbfwUHmB}BXF;`_=)^Cc75<TDrJD!SXA
zHciL|)mO7CShF55BbXRli_eaCTc=$Lo8j6PZk(0m=0|6C_<B&nISxC*yiHMWXAAOj
zRJtIYQ1*2Pg=$M*OO`z0Z1tghdk%#Kn`)_-){$*@70%_5T9mvWDBzm|4dt$7cV7;C
z;jHI0$YDzrXIOJNXXQ&ufM$(fdS}9y&bxWBq=CsMauWq#%3S5g%1!Do)R3$~s#}*3
zR}TTr6u^$i#JnCoqMtVGcx^lhtRVjH4*0v-4a8nY+M0{hYR%o|lTO_-L{eGm$H3px
zYgGKKf3SF2y>P#MresJp(mxjzm*`d`zyiBCUTQXGapBK#4MQ_FOyhvW91-}*Mz8CO
z$CdrtK+P@<f9o0fArN4^rMa`WGJVX<SV>!xli$?v*S+T6{zWtKzfOXnq06?@lk-w<
zmb!RDQw7-jVHNY{dZ*2126=hU+z96WJTC$X@lbd!eMaXh<0^x*cuG>>hOOG(#hW?;
z>6&LbOk3Su<z|ZvtV6;f4l|i&a%b`rgZoj!rz6E_RGph9XIN>*Z-)eRB6E)Z{{6e7
z!ALgHrL#SY6X|}4xm5k5fF~P&hr`tekv^|Z_`oAXJDUxgKAA4=w$-h)wTG$OGAE`@
zg`0OyNI(66R&}LMWxfs11l|^<z2e_#OL;Sj2K)IG3wgae*3l!X#0Q!0ul6XL3LnwE
zRtx2@c6t!ZPSi$!wA}bg3HJJxG_Ej#OpevWG-i=KI>GCBxa!T^CoaDFuPpUnjM7KU
z;ew(5tw*e3?@D2XLuoBu;rhpZTS4n*biE87h%rQ?6|GSZS22}?KK%<P2zbd9xq6Iu
zOlwkv#k}<+OYWVVk6k}`teq_=VX%6<yj3@*3Q{##6=>Qje3T{On&-&fp|;ONWkp-0
z8<As!Rll{I4NDepKAXMjSa|<SxxPK8|4!c=@Xg$RBJJuXPrI&S(;r#d0L-lJb*9q>
zA)&HQoNTHGbc1krJyt$XE}T^=e<vt9lZ|og-7{V{4&IFfC=5n@GC({U9EvtI7ROb6
zM12ZbCaZ&cd=V8FDCs5EP6v^yw93bQNX6}yepWd)6G-42{D^<Y{l+N1s*cLaTN$4q
z<cFYYLrIXwlf}k$7y{5X)Qnka|Ei9dkJ}K*u^m(nF3%5uv96J^X}$}vcG+LDb*)39
zwv8fOVfc<_Ehh0)Oo?;2D5A?tMa;g1Pdl9FU$PWNwlObbx=^YJLqLn*{b#aczJXg+
z57o1zgnMx}Q%tL*_@+>95vF59UL)haT<+72jwur#43rkU)@RB;Ei2n)A5|RDChZaX
z9dz}m#k`3$iPT<oA4H?y!Q3LFJ3H8j_Ji@yamc+0lu-7qtPbOjZWtH^Rv#b^?I?QS
z-EF_=m=|QhKdUb!mR`CaKi;T`-?}QcRkuG%ovO*oMsAc8uJWC=P5h))xw3G!-dkA`
zr4iC!Ks%>>0i9`15Np^rOlITG!f3nf^?7;_7=uyS#K<F|)b;Ef$Z_tqJu6zbcc2*k
zai_g*;xP_S;0sA=UpN6hBkpH{O5G`$C7pVie|Apa#0h%CQ5)N*vMEI~8Om*Zz&T9a
z&x6tY!X}lW`N~yCXl@ickzCwj+|>A;Z@pvtqEDWSov~TI<nYTsMA>hAoQkJ91`<Qp
zVZLyw6h7<OMvE6kq-9YnvY{U6FHN;>#aLXBqeC8H$)yn&wqU^#up@EQKcyq3_V<Fi
zLtYDK6h0zaoXfiUJ4r3|Tj)1a?dafIbUvY0Fr?9HQ8XLQI;5<vZpe7cD@r>X;>faK
zQ57k#?V>%W2bPFM!n-n^*4sS?GBwryVnl#PzNzyPPLOe51jZng2tK|I9DtvFc`kd;
zdXPNJDYoLJ5bTR@pcy~k^)uZMl;*G@vL9w}y%+RBPjUkeDc^OEVaf~dv6LR+ssWA{
zcvD@XqbnG%JaeIVPfC7@DE)UN?4zI=-Z8+*q+4TxUCt}+cNlplWZe(txDq1L5ApyW
z9a$78Be%*5%fMDUf8%zOyOY)^q22lMFVMJw?69BPBj&rUuA!GgtL(m8Nq?KaH}CW7
zU}EI>rtZ;P{>U*CUwBeB2K?pOLYv6Xf$4u<?yv;pWFTjc?6Z&*EW@pl(S1&%J#&)|
z0CuT?wleBT3H=1A1ODZe#}9x5CC#)9jkY6#rWpK@(gmrZU2)w|B3cTgttx83+#Wsy
zrU(OuqD<aztrG)DKLVWAog3S^wB{}VU|~#IHhUi)B2LIpP1dfjiF%>kQ2TD;iEXB8
zx>dOY+L&yiu;hX_fGPO3K&k}8A}T>pHq8b5+Rf+Gc)pCZ;iS6D>o}8vuBy>it@;I=
z@YL+0Gdo}nluf^890?G6{l}#$2PIhN;BM<0e_D>Z>st=2{vaHqW4=WwrAOb22gQ2Z
z#(f$KcpYC-kiAJrps}*(pxDZ?R}zs+>aHomFSjc)TO|pfB9wRWg)ZAlZi(}g{cCFt
z!8N|4e{YTb>Soq)37@?6Z5;JSbJ4VHk=|{KF^91iHk03HfaQzcCY#fUIf7p&1-2Vw
zBl?PMrsvPrLkXdC5Dl|m4Sq*$RFc{*NBpYE;*M}B+w_&@LLUr>%QPo5JG2h_Iba%H
zXs;zjdiuH~%phWj^C3Stf3`e3<1VM+8RN{@R+WeQnYRx{>y~bFU({{AqjGvADpE^C
zJ@VP0Lv7|2zol44r>@H_$^7b50j54Rk9L1>X15tJ=H798f2P!7*fgn{+(Cl-3=LnK
zn0v29;=D&&S?%+g+4F1zoaa^mpC^0~^H*std{+Gb%@pVcu{n(6pHT;_^aPZ{UoOBr
z$)AraVU8Bcw#9l{`+X~I7S~C~BZYFl(Iqe;BW<6?h`yp<xj|pS@w#?spWW{5=Z-d~
z)~g1BHeX0SIeNWIXWU$e9!71-0Dh}cEIuF>BUh~fL)M+IDh}d+rFsa9=H-2XE$kRP
z+DrY0bA#-mUoy^-1@-R%x8H3&c(_De!C#U(%!ouHU)uv@jTAW~q~d1l@|vCWo8hlU
z%T!R##&JRd&rTYy7eTPRcp=8@Jw3lWA(@20f^43(P9>==W9o!n_70aSN@pce4mqnc
z))B3nX#aJJn2wh`yp!YLqz^I0k}@<F?SR4hQf$CY%4Ms~Um^o-f(beFUY8}aY!g+)
z?jP$jfi@OoePLcUzS!j+)!!2TNRZO1adsZ&$Pht}a?hTF-f=hZi*Gf^GW3nQ%3T0$
zC?h@d0mlJZs9a^pf~pcz)e@K8*6i;p+CE3^%}^WJ+uLh=+*Q5u9Imc%(U;h1+2sO9
zpLNR5S;VElUFY>L3)|<XP(|gMa}!e|#akar=ylzZ01IV<YRTdD*!R_1NYf+qHPN(E
z#7vh9owG3l@b{KuROFmy2I+3*zD<Zul6~=eJA$_66?8Q%z_49Kh+xf{kAC;IauTKP
zM{-LsNu=V}y3Tn8iR=0qTFs{4V-nQIX=4M?JTcaO@enT7xWs3{rpJGSOhJKl{vOA4
zBG*VE)*P5H`uI}+PR$!P_!4IFIDYqlKS1MEBw;e)o$Zh1-5QJkd8A%?{JA*aJz;z_
zw#e9+avy2X?Y`P*bNwGsPgU2-OR;&LC&2i)02KF$+y|na*EXjqAAD#ggbL-x$YZWC
z#5ZE6b`9bZ2su|u$!>8;xVN~AH|e#O5t|i(_ypRu`WW-|XxqR8NY+vIJ7D7%#eQ6r
zu9_$GN3iBIz?;}g2HEr^-GS;7fcMRcFr!k{&72#q1wP3^yfdS`YmPfT5vw?-2r$zP
zCA%NSF9yYWcfAYn6C5zi9tOGW;{Q%f(M?={{Gy3Epy&=6pAADf>hml$@Dw3l<6RiW
zaB{B3X}33h(?hF*kAl*n{(eb_I}-Xy`zk=WfW0>ROtLpGBTGb?V)B>VF*b+;DB$yW
z&;^hkh3ZB1%UQ%P?;6wZ+Xp^HmAwUniCoBDVjjBg@u2}bqK$*6Q7ln$MiE`_wq-20
zsv6}|N@O|4v4s3am*EpiT5OER+3^!4+iEw*KXrYV^ruFJ>B##%U{7zmMs;+X>Mo_s
z2Q6j2KHsBj&}pc05E-u(9T5dvXbmI{#xd_Dx_;p>ANP}KZv1=&L?Cq<k#TV$6>UMI
z-5NsLsV6W%k(UBDBBDi>G_A&Wfo}gw-IYJ-25n+i;u4ShsLj~j?v;!*V3~TrS|481
ze4P*!m=OScB~ktB*|dh1kJn<^3#oB57Aa}|GQ+HN$#W?&tx$Mid|EnaX`Q<LsnC6-
z*01@NOLbi+Db;!UwS8IlsI2#4?zGri+Gfb>;P&qA_7Ef`c&9$k%U{VZ_TOtEJ)8ij
zCG4W*NEV1uo{y;&MiT_Jp}y1&Q8DP5hPh+c4q2j3s4~~zCAoeQ{ZWFlm~~k7%+#%e
zbGk0k%S&-{zMEN;#8O6Ab+Mcr8n7~#hzdMe2#h%u%6Sv2AZ%e>v{}F)LSm{)Wq+al
zb#z8>h~PQKW>#ki)nP^aXqjF9h!Z$*@cQv&WmIb--&>t|uaIl5q63$~DXr*wpOQK~
zY>Bx8hr0~3ZlKcPgUYX5m%SA6!g%-j%pbcS;@1)B!u5XZA}4t#h?_(ZVzyKx<m3_*
zv3s)37{k7#yPj2!o7wA3nQhJdxM_kJscCF^d|#H5kn?9;ZB^hMqx=0xp}Z^S^=x2~
z$=s9P)rt}Cqhg}F6jbc%!#c0x_7JvZ-JL&%T+s{$<le5<YH-;%lJRb}&*2A(-}n!K
zk(db-7Qbm)t28Ad;6i=oq<5>8Byvk?I~aR_Xi5uzfXvLe%oQ;qb1K&v>Y5V1b2W1a
z;1Z#eZ~sgK?O$}R9b`rRB`;t)F6-`n)AUpKXG-VXRC*Eqo`on&W=QCr=*9%h_Yw8e
zTDvRxB@E{eoID#Ep68fd&QFww?jxzKtuidz&TXm*xnVRB7CVyUXEmL}%=RA*1yTW@
zCeu9n#|o3D-r8Gfoc?DyI%c@=Y1Q{D7VA7;E33Hk70<f#u<3%8KypbiAW*AK*;pq)
zHs=i`HsZ>O?|!k!LiyS8XK9arRw=FYLRrr$307%@z1$Ax*One-68^7>-yF~Dl(QX8
z4?rO^!u;18zDfm;^xwS;7!XJFOQS>UfpOq$<qbGoib8*TQP0KQ_rt)7OWv0p_aiZY
ziTywtc$sK9T2|qR$SZ7;LM)37FcdrQhDeya$z6WYsuy<h%!UPS3k?4Bv@sNqxdRE~
zXxjKja%nSz$X<1gRgsnBKmM7Q*p@Tf%dTLjh#>MF+gdm{s^YRqMwx#kP13a>$3|kU
zIs&I^zeKt;>+KC1@bw*zm}y&<3#-OlL*kbbk7<d^A&p<$a#z+o7W!Ck-OOx9uQdjR
zr=~l%@yb)|ITK5FeOqvMjbb*J(C)`GIoO&1<a{u0p_6h0s8E{}p65MRs@n(z*^MwN
zB<yBQe3M2|WqM~AJm7&#O-RM6`(@@#Bwv3V4^1)X%DBjZA|igH-1V0?B!E$InQ?{1
zT0P_KyUCvCWG?wPetJR#PcN^5z#+b@IJK#_Um_o?!<w6HMj}~4E4GD$i6&#-#v+zq
z^7X;ktm(d;F%J3+<~RF(+q{023YW$+z2(;yO)J*I+A&{2Vaso!E%lj3ZM0tp#EBi_
z$Y5k%!p^F0^9$k9q2GWOw;a&3!*h%ve~%PesrIYOmN)$}jEGL6`*5|TH`^i-F^|_x
zr@m-wIi$hwa>KOYQ6(7p;CU&;y-esl+%&|GCV2c6a!>o{I|&fNnN>G8p+~#m+Z#rj
zzB8&T29M4961vozK^Fyo%-n^9Rh77ZU3P)nqN{*wcU-J$VhX@cafsYBUs_8Tw6sqb
zXgU<`j`Xl=383)0d!!*))t3)1R*}?T>6PiefhSwUj+kWWq@y+89#aEj4)r7cHA*N`
zW7GlO>xw}V5(AVv+?i}>xOcG>A%;)ma7j-4DPKsOpSvJ%UCEd2bNN?$Ob16B-?QRB
zd>&p!L}^3$YHsDjZSF0`e9{qFN5~_kc|ig!or)2@Nv=P+oZd9QqCK5_Ts2^L21~g4
zVq#?t*?>rwh_B|?(u_VTP@{+K2ZRMAoR(r|%)l0MjQy4$LDaY7;zc&7a(a>_f{P&Z
zYd_;H#)roM)vqn7wlOCCuDN{ynUT&DTgxb6Hd*i&YA4%@ySTl?l#go;veZ$Ty~18~
zSk0QcufPmt*^7y)Ikz9FJHcV)#O`$_r!*&$91yScr|_d(g3zY>xFgiV!_##72cNnv
zG5fn7xcZqF+4E0u=}|-Dv#{ueSBHLG)Vrc*;j5uHg?Bo0#^2OGFMSbhi}i7wn$ifJ
zE2ZxzgpnazrEj3Xxx!z!5#5!=-SATt7os)fAedX;sZ)6@yMD3(KYRyrnrzpJ-{+I;
zv6_r!%TCW;i{i(GCY!E;4gvpnN=Wi~u#cf!75!~;Jz15pGdVM%HzC8WkQ2SM9aMgM
zBsc6Kei!~#-m|?^{Y)>g*PL$e<kJV~1n0VO@Af0yl-WF|CJNT57vvkgJ$k#!W1g2w
z2^@B@*lk~q)3|HDeg1Q+uFi{w?`m5wrOLU1PE|`PUW+@MD-)6#LHuH(Aq#vw8VW%*
zrd5S9FJDeYy7;`>da;S}H2hquYyWKxBaw~gf6-s$2dZxRH|`&5SL5t5@xlw0307&^
z5}wj*TEjAaZXDQuKOg*WB|u;bs8RP6-I_QG{C+T&va1a@)6;93eHwb}pv3F*6eX4M
zvm<M_pdbFW;c>9@;iq#SJAXe2V`ej8ulApPsPVRyF?7EIt-PMYO&^U)3daA?h&M|!
zVTz>oDRC^%-WQLm>>$B!oL#cYJcpBgFK(t6eraA?&9brB=LX`eam3T)hy{6qwKP{-
zHdnv*e;KqQri-AmRQKqz&RE?Z!q#@8%_v+&lvVjbKf5;f$u*DI+bzxB_bsy_K850W
z9Mq{+z4_fNcbeWalGLzP<lW2|`kXR)cjNOqAn3|kQpKOoI2&XsGI(wUQYb%wsCjvP
zcegTRRXL-%4rxK^pZHS35RKHBGt4t^rl(A+fVc4>g|L0_qk|rGY*1UZv^??>CvD>U
zTbMzrV&wy5Yr)Es+i8QwU}?SwF+l0=!IF1po4*(c7z;e~lDyA7ffr_1vamaMl<~2W
zZ`+zm=87?Hiuu$nKQ%^tzuZ&5c=(Wgb#|C{#Ix*hWJ)u15M^I}s8Bk)8j#h+0jW*0
zUKc$WP#-_y?4uA1+&5%A<FchgDbb~l@zLb!uLhm#w~L?R?m^%%B6uJEwj@2X_{C_!
zKTnt1*>E0u=uQ7_c2(k|=zsx*Q3YIMx3dAE(xGF?WH_}EHSg~31I^u73!({^4c?->
zfL=t84gA6g-c<D@H2~?YHG8}jUC$VbT=i?`kkp#+QvfWUL+}k#(1hV^ed9jyuDVAi
zW#a~~#CtZ9=k-7bcetrNrR9z6m)C=M-*M2K2em?_&Jy`W&SSxH164K?&I3RBqleDA
z-g$M$of5%LjMq->QUO~B=>Cp9Drhr=`?<Qnwf;-2yu+(?se#WGSEA<9-wTo5Mw5U}
zwhC)Jor%U<hnSHO?M)r9F2#J?lxRk@bwiHNCO+40R$;mxUTE;b26{96B?{dQ0uM^(
zN6fNIYxuUld);|<xcSjj{FU8z3%!t@ec>#%fbqCfAoM3Ob4T;J@9!$h61S}em?}oV
zDKrElsO13gYXjjdvFCwglr6;<6KMyZEI0A*_UGTyF|u+t&(7`fC(0b*EHN$(@KoiW
zupOZpM3@3Y*@$K{Rw5QgRNr4g`(`gUZU(KkN2(pSH0$ADo*uj|EF;#&<*C30WJO|N
z?k8^_-ovKM-B}~NQSn7!s>tTMu>z3O$C_Ss_(XcA7+PWOyU119ZX$D9>~?RSMO|b`
zxw=N~;@~*uqqZL<Khc|*&-{d49en3C_r(P!x-xfg5~PwD8UgOjX<R9qIsFeKV%9ss
zm4hD=0`@b8*~C@TfNsj2K4pn{z~<db1%zN(>s1|!)f;FL{kNrIM(6VUFG`hxwP)+T
z7WW9B{kHJ*cuqXV#gDw0NzVYy@c}-v;4bK_wQs=+U5ieP86THPWMJL&%h*~2(|cL4
z=6k@3IhHcC4@#uVqVEsYQOYmYY(EfF@Tqb^L!?{=U_La9q-($5gRI^AtmgG|+U5Ai
z@r}d3z_4Q`gp@F9_Hg~hIlI#GXMp;Ftg>nClAMpUsk#Y`(wgY4=ADg^(86g@(+aLh
zEu-j{5E`)ckQy9WXZCL@blc>_@}&C+*tXf|*Iux23GG_`NuapZVI8e7=A02Q9Blyb
z@8BTC^*K%7IrLu?Lbh=bYto%{<z!<Z>z6>z2<NQOmG+}WId^@~+P-6lws%64b-txh
zaeigOo+m6n4Wvey%^~aQ)X)0-OLu##)bK88S6Ngwpj@5RchA#&l3i7gaM#z|7T;@y
zy-|3>4q?wtLD^LXeB5iu5|CSIpKNoqePHi8lp6u@DF+4_sVFrE@bT@=m4h%qe|8RU
zT{`^Q*0!YCwoF5$VupuKB>>Z5`TE_Vmc#(}n4Zx@Q1;GG#y{7Btqri3o#H=FPhQtX
zZL>+0L#ElJ9#CByCoqszlv5mtVBlfDu6d9DSXrKa95y*S#fUXMyx7qvbTZ*s>F50>
z!evnN!0nFwDa-qv6kV6%2%qF!&d&yeg5?8a08~DUdz!STv}sKC-Wk8l8|;}oycX(5
zJu&fpxvb|>+WwaXvm;k`MvFtOyM-eNG*q9o-8#8(k}K3^aA{j8{;i8Dl*Q&!REk5=
z+w_=eyA>eHPaX2d%t*Z9xEC=g{_b;CPSNxO#*})2QDPWuqJDnCZ@m*4ti>4PSdCw3
zYLcmM_6}(5VC^_FhI^Wv3-C7!m<rzRzW%rBhT~RpbWFrO6d#Bhr#uJ%dVejq2BGYP
zOhSG+K8T&pxSc^t*EwXA9Wxp)$kIg<b*<7p@_uaI_?QGih6ix5U}uXokS;@)lVW9r
zgoPyet15mg@5uv<>5iab+?}{n7)WmfrT)RWY$Ch%W1Nn_{kRXtI%&+o=033$_7oP6
z?pYB^I%g?e&Vv%8P8r;aXnV-1B&xlU)pW~AUsq|+rt)#4f|0AHduM->Cj5%$9Z!K&
zi86UcM!MY58e|XS3Tyima|^6Wv2YO&7ULogS`8251C!nr9}zx=c<gd1N$Da=uH)_h
zAmLoXS}juOL6>Lx(V0RYWpRPqLfU|e4`XIbNTlcDOU?hv(4@BWV~p0j#f}E>=l1m&
z&g2NWJ^fAGwW_rA*`C_9-&c>Xx-W4RF;*fW0`{Se@0{Bsv)F)*SwBo1Q(iajaBbHw
z>qY0%B46trED7v{=e*hZY0?OO)~w6?<I-<tA5x8#@MDswn<1vge|H5g$gRqRqZQrh
zSG5DNLYhK^xvwW5;+mopF|O}{ul8Qc9zj$WKfRzA?9ek5uGS#t(Gy{$SFN#BLrS&D
z|A+F4ou6&L)2;5iVAWV|MFAeKyL?q2)_A}6hPeqE>&kaWuGI+AFRrKL|4WI<^r6-B
zOdgVR6>UY$J!j3Aq~<c}Dwjd~0e_i)P4J@tGb~KoheG_E_@U=Augu<0^~77ktz1^R
zl|lLMonMn}nkJhS7AhPdBk2ntyl{SO%4EZ6o~XU#{y;CAX1UmeTIsR3{of&>xCfLc
zz-muh=q7d)jr2(iK3bX)W(0$gC4md~no$|<6@$4d#T@X@vFJJ2#GHk9j(f#dJKGa+
zmBsLsC8J$)01s~M%+P_}6ek%>ig=IbaKn=}7d06j&5_2;91p@xM}b+vtfW-zIV@CJ
z%D&F@cv5>_YQT3-r=nu~O~osS>7L^A&jTZolYkff**)${v2%iT5mI8&xq$}bQKj=Q
z<ECYhRJxbxG-7FOmz~nFA`y_rhou-FwvMi?eMWz4TJK!$O@y~qsL;ckE7&Nvr^?yY
z<hEO7?7Owj?fJ=WQoOX5YL+Y#E*^a^zjfkGssAlBjMSO$j<fao=ss=Nk~8V5<K9v!
zC?EkN${%6|w#DM#_(9WPId42VL8ZUiwZ)iEJWqado5|>=Uy23S=E}8#CvXFkfoWk>
zb=go_R7&7w@caCw?(Cs5VbY$tVcnuMR-WA%i^6*U63FkoCI0thh4wUZC_yu&?!gD`
zb*xKghhGN0M8iQRpnOf9gBMuMr1UfpUfkJoSat7b#gD{#liecHzXTUOel)J;OjpSC
z>sR$VSzc)5W;mm&0u*I7j<4J)x>nTZ8lC6Rb3t02ec9wjKhA2@`#HdIYV(3PD`&s_
zd7tb0Pli)3X;Ow=Wy1O|&3spP>$?L@$^B{2b4UM!;OlsIgudRqYiF)Fn$#r5^n5ej
zCF^E&_5Rz1s@b^{^RZ#-V=&_Grgh(lV`0ETKO_H?*Kx)QDOAtu(o_DTnv|M^fAwW%
z3ES<Hj*mP1W%vQF_?<z2Mv1rg9(>`<Q-5pxh?Wo&6_eMTS=_|<HYI%>+_^7(>8KzJ
zy6${HPSX;w2{jp}e^VDW&Z9ZG-k)OLv4VJ&>Np*f<KSO15LP<0R}MmN9n;`W(tnGR
zl+!;G&}8D|r`nYv!<e_8QmlBW<wP`}OD$Tu{Im`|QkHr}X?UwE$DJ}bp6DS9=)7Vi
ze(x_PEg}J9EKTh|2l7;s)4hr1mieaEm{IA0T}!Hgvj5GolKN^_HSc^bfo~><gHdcJ
zb~|9OB$pPbKtX}hFGq_4<5jO!T79_-ashDhjt7<Uz;{3OkSqXkdsS+Z_BS;<1gw1}
zxlo^yHZAq+*47-_fByszDcc!8R}3c2Ndf6y>+OEd#y4jcJqG^YtD#-@NH4uyl=l7>
zD6ir{qj(BRs8;AH>GQ&>nZ;&1AF};8IZBI(8jxDHb24d!ZEe@sxJaH44*c?$G<cY-
zt|MMh;b!+MVIX8Res;fcae=DlRqWONu_PO8=T+An%LAP+o^Q{*BVLgnRl=8}2qkKS
zS~APIqSNL4<Gqa)9z*QG>6VLsmz<ZP@zD07i5c%IOvZ9@R#uPwiQIES93+(UjFhvX
zHN9D}5TG}|!=ck2g@9)E>26c3koit2*I|o|Iha%rdRkC)CYw<haWc9Ddro<pT<4u#
zzTTV@f<<dM@%Gs1q;Pa`a>Ut<ulHQ`kF(l_Qj6ntaFRHrx0Vd$bksU-(vq3HHpm%|
z358l_muUCMExC_LQ-6K^grxHSljiHrp93`jxw2mDkky&F8*l}%Tv?KN3><EQ^y$~2
zog5fP64vQ0?AR01CH(VH2?c8Jnw#OhWZJ;Y_nKI4{28awH`WyisrJ}_CZGaB;|Dl!
zm(pia;$6+c=FX#UcWOOh=1woxl7~(05Altd1&?P+=bAD{Iz!7}jD6z~C5dd!x#C^q
zsh=Zw!9+G&!^9t9O_^rmx|+J=D7BHMfU)SI-RT%c$(#TrV4d>3`@Lu1+{>^eYxv#m
zAYb;q4ntZp9aRhSicl)%8?BVmI=?mS^~|n<)0M~2g|P~0_N#diwn~UYF4-Y$b>a>=
zI5zm_ci?5qCi7c{^MCeCxX*j_nmL{vm&LgIlX7xWyt1~|@ynKp?7`6RG(S>noD$+8
z?=CmqM-184ejirjUhR<OxzXWSyg|u{DAla`b%8O4fIb_0?Uq)V-h#xvq{kh0IWG{N
z;+%Z6sFgJ{AEcfP5{$%yZq@f&MlVjHaUr9uE*O<{4N{vvt7HF_O9T<`8#cU^Cz@RC
zZ>)-!xW+(9iWO{dFGG?$e@oJ~{|DBG2@2dzZ!&KG1a{7|dQ(mG4YkADa&6CuOtHD?
z_qJsiTtmAmQYJ^A|MT263Jz%kuACE*wUNC-?)v(!QT93LtZ`M9b!t+7#pZ6{77w&j
zUpV;0IBR_=Egf;j?Sio$oS??#n!+kz!{x~(o5F*1jF>BV>NQts0+ykyn4K6odNZ8X
zDs8bZBg)oOovK=;(E9RRr}t(i?w|%<QWB<I<x5Z6%J_;OrVamAAur~4J?9Hb{PXQ+
z^isl*ty_-n`Cw!Y_CQyTeX(7E@v+$Cy@F>)n!|&Eo(_F{zJ<VdwO!CxEY%%qPy@0w
zmQ>j6f?g=@kLEs+gSIQDaPQ8#sb@wCz!hpw$PUro9Zr}R>%Zt8P*!Dct+)s14<U+0
z)Me3zsge&daG^kEv{%O09tpCnwkF)uY0g>YlsOUt4l+1VBifrMmVy`Ni>NbXo1uUP
zM2`m5bq<0&6a-d%?_qztOl1|;e8gL+v5Ody6%j`n<xu0yDiTs2&F6MU4Z3vVmpiww
zgWJ=pudPQip=@Y~y>^OKMPLHN%eq{x{tYOVG7A^T@K}S1$6ec<g9I-72C51_S`LD8
z**V0H)AF#)sN!|_HTfoXqtLEmUA^S-i@W&k$(Liq*ao~~4?HkaV?YAgb$spqT1k=A
zj`yRymc&iO+4eNtjU(q=Ioa<p4y^Z#!HpAFm)D*mlD@(Tx?Kie8aQSSxHOOpWbDUt
z>@DFjj__nNYw5}cjBC+?&e*KE@%a=&#=%7@T@y>b9G2iL*fi?((+K^{<#1Si*}37(
zK-$I?Kpl>C8S^2A@4YqR`cWz<L_%&OD_(ybD&Bkn(0dOjGtfKT!BZdMvhMU1(>N8+
zN2Ogm>aduv0HVtf*}Cs<l@c%77Mg8GfuTZZr?|OOpR;3BK%6*k(B-AXX(fXD(F>Vq
z7n(n+W2Y)Wa)W;Wsv=2T_U{-jPQ#fF;Gj2W;UlfTCf}uMsn{b7EGB!{wNa{`w4~!M
zKuEX@V&$nl<%yDDSjj(pWB;aury5JOk*3-SvP|NJkh-du2)(sz@|!94A|R9En!;i~
zN4F$#0YTe1v5MgmOBl>*b8dcJ;IQ%S-Lh>?yM+KOR5CyDBro?P`FoR!Lysp;=uQ9n
z;4S;etacsID5r;#+$Js+B#0dcoFIpaS5{stY9S&3i3>f5m!*iT!})-C3695vQ@Zp=
z_u&^SZ4QKh2T<Yinxo{R-ZzUH%CE^h)mH~%LaB}tvO<)5^<T|l<<@obm?xpz0BaGW
zb$7(lXIr<P0-MTf9cunP%8U2?V+=_PI_gv8fdYT2CYhKwhub>KZw{X%dR1u1CnbV$
zQnfoVy_~~le<>4(p6^U)n!UIXhX2(mY2o7zo8alv^oDDj0PXo@6z@@oJ}^0UWcyRP
z1n{NB+|35nG{+EVN?^{d%<8~Di5~QsF5QFfV55W`xcFb%wN-*~`5#^{_<iGwgw~we
z6{40Fsidf9CsWP8KfA2R2>mw{tHL$CITX?eIRE~%@9Xenm?{ztNIs!3KKe!P$k6y6
z59NGudrAos8g{rId8#eue>9<f{R{!$yLiRibJDT`;_>s|(*56oV1Id8P;!N|he}%z
z;>v<%z4#woU|km>-gDIp{}{9zv*Ym!2Cry8J4V*BPSI_BJS^a3404c*$++))CktB^
zbpk!yi9d@|W_77GIz@H$fu8Xkfv5~QEGP3!t56n!>wj5y|JRq;7@C{dy6_O0jN+_x
zI<LD1Q|;cOed-vt+Ypfu@JPuseiYwlN|T?Gsgo`S$TT5qgn^Ay!ON>J8E^3gSc)j}
zGz{se>M-Y({Gm2!fd}I4Akc?u*vwQ>oFw(IXQo4%$rl3%5%IXjTb{F7NGV(9P-R(G
zYZmf<Q9Au8&nd&KZ|&o(S4n-WssGAVFqZ^a{M5Uh5ug@3l)EF;$9N0+)n!WD$(Ovt
z@vLjc?ypG|B*U}gO?jI<FrtK0v-!Ut4+`%U1lRw%glmog_s*QrV_X7+e(645xKZsm
zVvD?OZ@W-=`LwXAwO@-qFqD{q0iWbq_iY^Z@-yily%mp4qJ~~Z(~?5S)e1upp-tKU
zXtF60Kn^5HJTw^dpE@tS;yvFMBUfJOd)o4#Tv`39-KkSztPk$$KXnnhJB7M|FFaxN
zY6|CdBNwePEztW@vT`Ag?o&+J{AA2%Ms2LbLP~?6$ZV^~Lbw!C#{ggk|J?j)z78Bq
zyX%r9jAZs0b}#E4(}TDLe0;2pW4^&7cvqscX4ZBsRd<M5r)Ek2#gD{KI+e<F!qa$$
zB(g^0HC|rM;uGNq5O^E5Z8EoKBP}~hN#++q=p)3>HG@fg0E%JbQ}T^e0+EK&rLcq&
zB!Zc7d`l;DjIR|z$jYyp!#*C|9;##YduyxXy7mc`E8zL|xAt;Kirijbb+?halR(Of
z%QNE`V>I3<3jy=)9$&$4?eDyS4HeSkD7fG7D$Kio4{z9xn~Fck{;IChnhuXK#?KsQ
z$0#%HZTKO@$`{jThwAUZg^OlnA@B3EGq_x)oJ*_RQXC}8YUVVj7O(sIV4Vf@!y`4{
z+FVYxT7K`yG)DNDEwBHVl`pkP0c!r;AxZg*)FafxDscssv{yRR?U3(*{Pu!=bgs|L
z*ngtRzP)urb2+4poc0{A;WU0dXyJAOhLpqv8Iclr1_!zt+>s6mJ)5)8&2}YSgJ`e$
z$HfmkQ_3h_cBg>uS1QV-yoB4{P}5K`_LPTu<3UQwxe(zwsLwehLCAXU1YoHrQt4R7
zzx7v8`=p`wFl;?JXEp}e@fgtt#`rII%T67y$KHm=OE4VJ@zxygt(L}yBy3}a;f9j}
z<D@GG0?-Rhq+?2A7?Z>IHT~VDj&MldR>cqF>2v=o!^!;G=XQenr-&-()Dww)3C4Dr
zrQf;u#W2@DYj6DDqFlW_m;F6En&h$5{tf;EoTj&oZ?i+iH0IZMT63)So-fKMk;<bD
zD4fd)gf(4KziXi$nW0(e^;Gu+C9Ssc_~ntijo$Hxz&UF~_H4|*Af>VSaT{@6urhm|
z;DJ>q0Pr$;;e2G5jQ<C;V*7uGC>6J_zksOy5r6UdU$vVibK_@rd0;-9@ap>r{yl%0
zJ5isZ!*g{pK&h9F+%|20#`5%s7rRilcWSy$W|iF;?Uw5gHf4Xx#$8)wgU@pnb88u9
zeS!H%iJo1G_!Ogrjd#2vbpee+7pIHkFeoF#s`y!?0^T$fFS#~Ear^S$OpCDC#6x5J
z9hgEAMAznu(ZqLQvZ0-fXzf|hjcS5izQaBLKuzO8l&B^-&8+Ruo1opZ<(dq^Dxy}1
zTKETX)?I0VYDKp}HS3QG#N00f&wmw$-5VUxFPs><Y<**;N~A{fTUoMnBp<TV5TYGt
zPu3K$+*5R%9e2`3Iw~MrL4)skIt^ul2ViD9GrNhw18RG+fF+An3DQm)EtI4QklLkL
zC9Gt7bSif#%}(HMT-eu7HIY%pE7P!+-!@2b6oKt~OG#;qw}Lu^IH$ipHl9x;-pv;V
z)G|lD4qWMu7;p+N?#XNF5X+`19$MCx3pC0ve1rIT6sJ3UfP_2y-N1L$`8-bC!hr;y
zS2J4qkgpS@KwRW?O_Xtchgh?G!N2QMYWQuG{Y|JE?XOWTmp`k~VSWHTa`HxbZ3U;Z
z!0jR4fvL&;zdvMu#J)R|NfQq_VXJ3R<opz#4(VBIzMq<xTez89<#q-}?_L;evk9S+
z-E?%EDOg*&$rL{eDu2cZjPmH^TLbz*r=dQeJ7mM0!0-%js>?V$a((@869sRQGU&h5
zIrX%q*~BL(!g!8buT@*S-10JCn4>#yqo_4g6?7P<eT~+hcC>y^-=(hnf&lyxbI<E|
zPa)Bp^jp;4$SU4Vh0mM`m_`@j^95=v9t218F_<|v%tZJBW~ghY-DgVcwxMJ1@geR%
zLc4$CCn?WwEt$XyZx4mf9qJw(GU&knd4yhO#n}qAQe~RIcpd3?!XNZHwUauwsvOM`
zt-c_T(C$QReoWf>gwC+qJD%T#G=7L`4Zy9Z(rAKFVM0l<o%K~fobl?u@WTMu9Fu_;
zjSIfn;Xe-3{fx&I2EQSZ&CpP)V>p)!vUEyxY!3LBFQ<R*Jt8)&YFyB7ri-uRE;@=S
zY3q9t{FVdTIZhgmh9UtOQ_nvQ`hk#3XJ);K5J}lMkuF0V1OVy|@W~U=w^$f{F8OU5
z)xm2EU@-*u#+9tdA>YeDMS?MvGRj4p6gK<lwWf=pdwUByjn@LrHj^Q}f*q=qM3dR+
zI1n@3YbGU=Y_Xhp@3TvnIpa&`)QU1AAq$W=Nk2G)P5M#Rcp4BK-siu_3t~6F$17k!
zyquHg)i}ht9zmb1J-RFpCx8LD295Fl5Z=HKw(zJpx(IrCdcNNK2cSMpyGtSMw>~^2
zbWqL)KK6T!%nizJKcl>Gfr}bxMGc1_S`$!HmUyGUab6zG03rka`f^cFLty1cL8XN}
zHOhyhF4DKFb=-!aUc!%q1*9M9wA5j$2J05M4DuhA#E%7C5lsILi4o4u(975#EUc#X
zXZL#3xq%A+KZTb&k&EJ!mJ?0;O<P$TAC8{TShZ(iR6vMPQ>8ae6VO(Ka90xmB0glz
zr5w(_)6I{p4ypPRUu7He5{_`!7TSdi7;YP_&T}xn1Kn1=;K;n}9ECWQj#D0}c*$OR
z)~@_X=7SzR#j3Peg@_F-Ekok{P)FyF#^@2tG{F&^fbS#UH}n>b*xHwy$~E1&W6E<P
z^fbRn#bdn1-0g)wU@9S=esfCV#&EXH96!;fQe}fbU})GhBq;STy}f+kBH|0DS0D;e
z&gX5Mb*mx0D~c+YQYrouC}tFzYXZq=R(O*YOm)1G`dE)<IhN?*wZA*0$86VQ2HYY=
zuilui+l;S4r$~Ak{>NhZMb$KgBgW*0WJ*)i83~wbjH5#)e$H$drQ&P3p>ZklC1K*l
z4EoVo9Dixdoy-?a{<N9fu0G-du~jPA77ybT+g8@l)5E{wPoHK{<^^zWW@#q*$9BIn
z3*mo?%KGm<XtyUm#kgg#Bkd?6VkXin<y1JUomFpef>Mz2L+SId>rM}6#vx5Awkdob
z`j-*;ZZ;dzQkKIh;Br|shI&iCsy6D+`+qvGk1Lf~X9nbG?2{fd!<FuA*!AeF&u7V8
z_4xuIV?Ox956i-`oG0Cq3Z5!LBCbtYdY*880*<!V*a7+tiM}b){hM_EmoKh>sAu2*
zw!7)8JLY|&^rN`D5JVb6R+$%uxrNo2JUQtX>Je#gLD?bf+S@w;s&kKR15+AD(UY^f
zH|bS8X6f5*I=N*$jmZipm83!F-fI>1<BJy5a7}J;W`g|}4k<+Obw3w=hbwQ*ya%nh
z@QHdczE0s>+=@peDJ{T?ShOwKh}n{A+D&SSdvI>j7-8H-dN7oRh>;>yCMi4}%@>rI
zHEYtCov0Pc#Bc`2z!)L|n?jj4tfD)w8kL$z6Et;OME9K3mJ0F`W4I4wmDfq{Y{>Um
zycXg;9b2b7USVbl*=h>i_g&y7dQ?(mABJti;Z<+fS-$z93@oCD^<mgRe45_xq(Bex
z#>M~Sxrt)h5?ly^cs45B?4G?$aK81Pa)LZ<kbMh&8KiE(d)z`iEkzgtiUn?G=8$@p
z2-lHa_-snPu4sptOQ49bJ*H;Rkb~z9{x{)uzH;MFVU9sltljTbyUARRIwNi7ia?ea
zplt5U<ZRDA;<X{R3h;&0qkF}H;`o@w>!<}g??s8rTuCn#Fd}|JA|3<lbA5xM%kXfe
znlcYlj6BHD9wYCu@K_5JeIcKK#P?<>YLPF2^R{~JXwA(0{y@ar6E}dKJT!k2)UWu*
z8a~%?#T1|_YA(@yUbtHUnH-7oc?8w@JQs@*4DI0dS3Yv??aCBs*}~N?+}Ne4SJ4}*
zebSh3)obU%y^>Ry<@0gbfH-hlCqji8sqW`tmm8m;{*A=P9(X>5Y^q#-ODVMY`cQlz
zAEdsJE0mlS9BP{%Q|(PtJbpJsPzt&V7$f~K1Hc9^h@BH3`l@`>(OJn*&P`2yauK-g
zk}n(@OjI&nL7ImbvV_6YvSx;w0*%bh5sAgsHwxqtu_+i$SgVO?E^x1~$vr(Uz96z}
zMtQIIh!BoFXPsmrP&RwnVw-~Dd%+NEzbrH#v-xReQw$7GF@{Z<r{y(a=$bjW$QrJJ
zQSlF+T_(y>wxR#p-}lB+=qlP@0RHjn1d9I6g~!a96A+i&$-;#`#lL=;&wQfCjOIvR
z%c;KcHjyHMzm*-4=zQV<xV3*W@l99h%5RCZVT>sMRqc!gtL-KGPnSVXZ9?DCH2{Sn
zM^(09eZJO@$VFMLnXpZ@04JmM^!{HlCNBLabqI{?^C}*hA0W-^TT`M3%B&&Z=Uvvr
zB~~Ma?=joe8XPL2B335~W)DQ3$CN;WiB1v=8J9gOKie04Ph0hU{%VI&;5DCYN~G|?
zMK9V%o0H9Zz4r-C4O`(7831mx=t@oh#)DN;qEl4{jC$qJn66%z6-RM-*b=uo-KI4B
zlZgcdM{ru|EEnn|MNQ#QxcR}y92}JYrs8?>F%k;oh-z=aD%?%gknG@_c!H4}X&wU9
z8P3s^7yn4QuWdOb55@%%iXb_j|JwiLDk2>osFU)$3py-mVrf$bXdCE{`oXBvFD3>B
z{-&C@0qC<ZV_5kEO;-D|H^l2pM=%vi&T9Furi1-VJNE?p<$1Mg4e(<DOVPQCv;5*Y
zDXPH<?Y9LDe}KbTO~z5YCL1E<x0}AkOTzrW3x7=YK(&^)7dgnOyncC7A>*WAKMl|$
z-s>_RRPy&J(VPeTcysbsyAuIP>ZJuuan=h=eCw4&l|R1QDjGlej%kMG+I~aEmmqut
zywvWZ`08Zt&*by(yW<0Nq7o%I8PjO}Q~graLo5J0q2O8Ji4lR2FC1(V3_Au}$Q|=D
ziS~nQmV?d))E-k(08w_My$I)^<7WWmTQ`UickQhHbuWaf$^5B~4OWc@!FBu}@-|{1
zGRzA7(B!I7XJe1iow&!6yRLJ3pwea)a-I^*kauHlpVl4?rbVMGT@WED_9E@IOujHu
zr!uAVtE4hDZj-dHUE;|U_6mI6@_+4JeN@ut9$&7L-g_s`c}oq&b(wN+UUe8@Dq=UM
ztu^N9cGb+1x<7A#`I7lEB>6dWC*}gV#?lsQiEj&E7>Qt7zHAQc=oH8VG1Ag03aA+P
z0^u%fe^39u=j{3Cd!BPXe|$eL&wt<Nd4`HgLGpM0ucc6f_lC?dNY%)oplWOTTL(NQ
zPQ>~Zc(4N7qcca>7-xD`hRHgo07p<(R46X^53dTbJmW)F5WdR&%J#}CrzBQ6<%R|J
zUC&don9ZuYdasA$0s^ov>e3*2JvcrmL&u-OCs~)THK32bUan7ni99pVxD&nxu`=dD
zJI(n*Hm>X@Q|q=j1ws|pL$DBqxh`Py#S-{;vb>^j-ktIyGPu{pxm&+CXjs*#zn_@{
z3@L-EHN&TdA-<H)kOlPJl<eY70^aG{q_BE81ur(d4IpxQA#QAqKN`mVH{9TuOO*43
ztr1Yu4}Quoum*2^d2~216_Ukn`L;;8V{@P^fA~YTx<4o?=}`xe25^cKqP?N0J<!pF
zX5<C(rItILC;Ut)dnNy3`fbu3vu`aEF3&wM7~TD^I(8dPUN~x{fzZbbI=wC>oRlH5
zb5Q4gs=OLMyPsH=e-kTz?#VMtN8XX}y;U=%L2U=`*Z=oKMCfjSm76Fi-WQfLy-a@%
z!O(*PEWECej5H^_*vHh#oz%Fe5gy2PKywV&WA%n>dAb1XpUpY_pwgjGo}3hx#{&z>
z!Qll4p_yL7)3~B*8B@$5a|e2tXE~;(Do;!k!F^Zt&$Fj*^}Hx%a754s9WdIr-}0{8
zTkyt<7?$k(nK|E|Q-CBDlrU2`<BitbLo|XUpTr6RP)boK4#~o+y$uNC`5OF+`o@LH
zrP4Q`pZQnLhj;h<@uYCDF@C&*VEpME&v4RwgvFD64b(*}B;xrWS>lkz&bCpgFhPm4
z2d#w^1?f)xxZsN&3(_&Hpxrn8_CmtOm)$Cj+t18NGOUo!`v8Vww7}H-Z;D02<-_iN
z<o99Yf_<z_h%eY5@|Y6|Gs+_K|GL5eX2U4K*EY@cFhg32r;lxhv)0>7`KFiQfc#iE
z!9;$K1sb)z*<@$@aZ3sAMyP>8ij+BapZ8S3T{Pkh!T0`WsthRwKTvf+!7n3(_hQ8f
zK9;^W-=g2)VEMNy%^a%7N15;V><V~x1m=-cIlt!yRb7@^nf&Q~YuWB^(l?IAn*zvi
zsT0Z}a@6Tz@+-x~zbP(;uDY}%yJLoWs*Sl_DG$z0KaBA+bV7wDllcTmyV4n$x#v1t
z|0#85BD;M9Sf2Pkih18*$F4e^@C7@M)Rh)FHnNjeSe{PfZn&|YWu`X%$VD1G?=Vp-
z1qJ2&a$|gZqM}g!Dh^eV^CV#cm%Fe#ea!Uum2Xv5wRNfKAMYwT{69>pRSeT{5G{L(
zrmm?n>Ugo{D_HrdHH=m9lqT*pV`96cgZU?^3j%Kob0i9pF7Aw@iV47EoI*>i*JqeW
zA`H`7p37c8-jkdDPv$Ha4OkB?a)p4kK`VXc!cd#*z|h48WV}g+9a)=DD7EI#XB*H9
z;=IL>oAiULkK1t8RXLc}R@Y9V<E$}ZL|uCe*d+F{@Hisw$Uqc+$+^gPSWD55Wi;dE
z%DN{0WJ4aYG+ly>v3QW^ddb{;7Z*&cFdN1PBr6*?7D4TSWX&O3%)(_};D|V{HQ}al
zqGcq*)I?kwBk+J)@6+>bsSo+;`=AIMT%EQiOOl^T+TsA(tdekcLXfCHnAm2Xw(Cog
z6lx)gTJ_36s-h|iPQBdIO08ZR!<tBu)d`F;0^7_$Wz4EPJP}rjVKiXrN$W@mvlo2-
ztWaIY^F2B!1gM&fRMskqePs?OEL+tQCqJf|Q*>qSiYqPn71U~ye8}2~9h|d$J6)M2
z#!j2K=121J(ZJm4Q~9%%SrWp7WCcMdszBF>7U|*-5g5jZxclB(S{!?n$A!+@uAqUe
z^*oLmIOxDQ{7brit6Um*yJPcD<1{+|LZd5j=iZ{2yIYj0DOU~dWwE5===M<QU!?4Q
zTKvHuPi@(NJ^GH!!?rVm5l0-^7E0Sw^!z=nfJ+i@)9PK<L*$(l*7_83(RF*Mz{%)m
zsENZJ7_+tWTUyy$W%TyJZM+<rS<GLyTdCVy6MZ+N#HA(mHh)W1?TSNSc3x!qmCv__
z1~@!ARzQq<Lf_uqWjn7v;2C@yR)^u2h<0nEnr>fc-XZ|MhNJkXofm8xR<kWM>bl+9
z(@#;rma5ui^upMAEqkmvZ4W(dw^qt+@VxkYWPgwB|4C#wBST)zKJv?&{O%3gIu`xO
K2dziWUHu;(tU_M^

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.3_70b.png b/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.3_70b.png
new file mode 100644
index 0000000000000000000000000000000000000000..57efcc6f8a4002993cac78f15a21952317f781cb
GIT binary patch
literal 242015
zcmaI82|Qa{*FUbRw_I&aw}zT(?lnc~)=(s+6h+k>Q$kYITvbyMtx_U}PNo`Cv^9$$
zs3EFNqQ=x5Q4~dMo+Si-y|>T%KL7Xgd!9J?oPG9QYp=b}Sy^ZA@BVJ6n>P$k|9<Xw
z78aJ%#zy*<EG#EbEG)+}*nd09dBPKM;poKXp=+kg!h%cTWV)U>x;~FEvNU61xi8DY
z@*swVW%nrS!FLvxAQcvtc^4Lz%NZ;z0(Y_-EVPdbV%#9c?q+5z@<(ZQmJ`Q#S&kp2
zjvf8696QJIv$mrY%k^Wz|C6>ncHx%{D+^1UCkxvz8Hc0u&(D*i?@yh7&c|OJ``;R0
zvHnZ?1nSlCf2EHfwTFd;<DlZw&(j?v`#=^Jewm-&W5$-!t1K+6J)YK(dk{0z%Lsp8
zW!GE&a5v>p-#b6GShPbgA0>U=?zx^1_4V-!yd0_{`M1R7qx8>gfaLkVMecd)NJ7kR
zp1<mU*X_KTvWl{bB<T0^=g({3z2$z{Qvcd7^`k2t$=mnt-MI_^goK1Bho~z1-}L|h
zH8nK>Di;A4FDe~LC<TW3-E$39@(Yyur;>lwqwf}oxa)c6o~OUx`JeT=!u^Bp=}1cc
zH1t28f7*G^)BS%f`33&!)=>umKT7~WWfj2xOU*6R^FOHlEcr+6?|%JbPWxwNm+dXx
z0{wl0el`mP{Od36zfJuAa{sr1|7iTLf{mZ&J<!EpD*q?@|7t=0xBTDi{Cn>I)iA&7
z>2`E0|7qDTBmbWFZ}LC;cloAgsGAQ&-_zI4FYsq?E?&BH)VBX;(f?Jw>hI%!*XoWd
z!VLucrSflC|5y5NL-zk`2&i^R?cWXkThT97ZNSeb{%;=ek9+-{d*olB-?ah%<Ex<G
z-Ch05SXi#G80+g=haOuT8>#j&3_D=R{P=!b<K>f>*-7@(MtToqukfB{yXG<ieq>e;
zps7bLbuNRyh4iZ@C*NV?xyRQ#d1sXRpj#0rWWp*DBmLKT(e4dxiZezA`c$!;W)qHS
z4oTfcUd-<)aZuRkR&QarS3EbLf#NBS{>@u0A;uEitpDX0MZFh(P8Pcuwm+BL4n7Rj
z!fX4Ue#p)KpAWj!G08RWC}u{;f2sDUX!HS#GyQA(!U@T>gV9&5o^bY<EC2a;-^j7p
zxY9_OG5yanN9yl`CAgo4Hg4Xd3H`TTNwG=trd(++{%`%DDjx~?r{~_#x_X{X?>`+b
zF<11bcrIw3{cq+*V~>QE`uaUR{#)Y{x#NwrS!D|UqphPhxHKLKH96nEymab6KLPfK
zJght@!&l#||C>1<fg_<h6Z68H|Mr|z^jz9Lz03anm$gi`@%szqewfJZ%uH<etHc`G
z-SQ+n0fugwcPOW%!bS{gteQu4@R2taw`&1ppR^_1bR{9RgKHysWYljiVc3g$q536r
z6!oJ?TLISTUT(TGG~~5cJ?~iBLUU3p*$+pQ`jp*s@)fqL!sk?+-YcdNdiQO%6xTB{
z?4|byM1S69N6gXfET3rebp6>sANGfMMe>lPdvi9-d#qHcj>cRVBv2Vr50kz>YR12-
zn>nO5EUoz|H66)>f6hMSEZw?QUsr4Eh{QA6c9A+hi6c3|e$@+Evu)u^%;4GDoY4a)
zx}Prm)7FZ?(OsHAH}hkDdVz~B+j!`7((;>h=sXn3m|5;tpI8iDq790MetkHG+*_*4
zHw-2;(WlU38x-)wQsW9?O!uVdfM~>O>;B$Z&gB_{t+W<w^R`3X;lbWckocYV$5a=P
z`&+}|QLxCZL1c&|rnJ1D-?Kw|Z?Sqz0o&B4s=4|3>fXivb;_tVs4@wRq~QYRdcx3@
zu0lZRnXcePYVRm!5bFjJiWte1YfnMd7JUpze7c<mTfbdhn<5j01}@^xz4dxdz@&?U
z2La<FHf<T0j}3Hr+cTQqo)9P<SRiQK%ZhOcuu<|nCF0|C;bvR!0w1N17U9s)$=HK8
zq8b%{*}0UYBnBEz4{*le2)x4ZK^&DL%tg00t(=TZGN_$3o}Vc^=mX6Zk~X!s-Dg@)
zQeIYf8;73Zi~3f&Hm!=B!64rU<yr^&kz{W8xW?djM}!x|w;3J3k#{Yct7m-(!XCVP
z(Ei1p%$HG{sLRcpr`;pU4+1b&hxcWD=%q=5;z;^rWX^(pn{ADZ@`BjtHde6opwF&)
zYNq)UIfGkuYA{13&GEMtk{W65pI`Ni)KMg0>`IHp{)`KKyp=|bu@&U-SU{WTK73{h
z4Os5cm`=>(yo+AeT4}1@TRA*ffr@A>lvOvRAU6vF(Pz9*z>gt!#zJ-uK-*NrSg)b@
zSWeh%W-~=U0cRcko9>=K3*8`OB64R-j}!-HPA+fuo399Le2leE4O@OU*HDTjGyo9C
zc2MRK`Taxqge&#-f2{AL<Z{0oh@h`7X&hDRaaY`XVpZfCMSH_^=X*g)usL}D9stUt
zn5;RQv0PM;{IW9yY0Hqva*YH{8^lNuM1rZV1*VKG`gBT2iuSruoI=2l{gtSwkS_sk
zTT5cJvsrax!H#tvl-yjKEmQ>Yc=Xa*oA^Xd#Cm&kQmTGQmGjc>k^ID1(6DoJ{9k4f
z*04e2SG(^|f<8On>otfx96R#wvEy9YpX(48WarJZ%{3-t4rX+s=FDj2-BVkUE8#G4
zfeeBjAI~R|z$3@qk^D5`ff>sQ84t5ExE$Snl}l$J{oRpw@2$N}1oqt>P-nX`ZREuB
zGSP%VY@lbHZJg3oELkZo%$;xRcxos%qS}U})_nw>KXpzHO2!ie`k~{LlBnDMxs-Y4
zl7H0b&!1H@3$xuES+(~$4zyX3Zw_MIvI|H^3Z9DNI=rDd^J4jtIP+_lreot5@vcS<
zoQ+;lz{5*gjUg+`$r@AfA&iGO<X>s2ZG$5BX`Y2!k((8)&-vij_WT-tyd`k;=<Ix1
zmJ(+ef&Eiv{3*p05ky4R!q(~5%ug3&>78Oxg=4A?;Tr@y3N~tgfw0VHu8rI4@&NTy
zyf4Ldd3!X@s8aTsbKsRd6LBHcj30(;GPd5zm()fzzczPW7bX=7s@rx4q&wYhciNfT
zx!X7${&!S<Kg)L%$r)W%h@Y2D9vqNGFmv_eSb5zzjWZ$UIM$vu?u1C*hF#094d8d)
zlO{#fPX@rX2j}%`>UYM&!+YPeqThS9f^9>TE{h+97if`WFt?c!NNKi^;|?vp+aI}+
z1?8^0B12ETQ}>c2-@;xyFI$mbWWZgc;{F^Q!<WC~5c~&ESG*MQEZTgF=dlVRWrfW?
zy2n^9r)CQNf;;HrY4v+`U+#8xIXB3>=5fTgrk~Q!;B`rmaz(?48Xs76Q_OcCu$WZ(
z?^VK|zc+d^m@@yQrae5;lC|-^xz5%Ap}c?h8koD8+Q^vA+S^&wSg|p7KC4cP6QAe-
zA2Oj3!d!0n{a%wrp2iuA-1k44*WRli(AS9>lA&GK7lqJ}H9le37gKbv{dU@91L0zF
z*V)}ss@7a~;M)e-7OKqp52*;0KG|riv|jBXNoFdW0`Ca=GIMr%R(hrF*+t0Shxbmi
z=(D&4JV1Oi2X}$+*w`n*4YZuezS|)jMXuUjOXu!6IX5JQ0sxEs)=ZrGew(s%w&DU`
zcaiBz^Y6G$>of$Ss@G%s&$UIq1v3l80w1Jjs0Vxde3x5EIvttU3?FlH+9#fR+fh8+
z8Ok@u=9a$%=@Ua{g%9SLk6=<0g`#WTbv8+;tv;i-0)o8KH9G`icSFjSs^`x^<#MN$
zWf=iK-lX?jnvDyt?VL-nZ)_%!08xxig1>z5W;zn+KQFbTjGF=B!X;O+h8U%1`0e2c
zf9CDEHqbWifB^B~{{fpn^Y^Qndim#QC5K>Y@^kp$@{t1)Z~vLsND&gB*3<o*9TmLB
z!%3~IwD&%jrlgCwZ4N?TpJIRb=*jz(lqlx(zTVxk>}_sNc3FMV=(Ae1>jT0j72d+f
z;#W(QYn9xUY*Ehm3{eHJwuhYX<cb`aVH|Q4K(=bVhW|Jmh?9CcQ&L(nAL}&L*<>8n
zxViY^U@ax;3tEjoC*ofDqSj6<AR=#Xvk*MS>H1N$cimG?nQh6t;@zz1!#=zkzKjDn
zFImR3wfM)28Z+?`gWV+mhynrh^}k9rq>6aG3CtP5j%3*2WCQ5KIJ(lH$R=e2{(yRe
z`$JE1heAbte%+fK1d5_B4~q`<d`^kE6!~pN71PAd(@~T@0rFPR?F*ee?&<_Z!F;$$
z@z%Rvs8hl~zc(3^oU>qhE7$!z<Gn#$Ce+(&uWSiBNE;Q_>X^#MuBzHuPc*7+c53ch
zB%=Ju5e%0mzG>ucKPLEa3wAg->bIBWI}>6aBVD_6MRZx-JuAsSYHxIZnKJL_L?lpR
z##@-3EsKZuuN>AHJ0_|I_#$tbZ<W`Un0G;gN8BP!(ZyTWX>qPeoIW(^ZF=z5H^BLU
zQYCV-#@R-qZ!{Lr-4!>rwShTgHWGd2@GD2}7gw+V+^dWG^V<8H6D~N9i{>w*sOkb)
zQlqcSaFQ(<!P0#lZEZNg&&pw2TCkEs$HtF4v|Dy1^`8OcHvoqkOiM=QVfQqx!f#Et
zQf&7#&2J$$&3rT|XhZbc+3CeDD?&LovgKvf`k8(2&T6eDXpjxTb68<w6*7|z^R;*D
z8iQYjDPRGK9?Z?m&_P(mJJ>rgZ&GBY>JU`z%@6?N!BBHA_34uDL}ryZ<z(58JIT5e
z<$pr}Rm*)wdVs&i(C$2tmc!Vdl0S$48CKV_9pgNQem?oZ-FBLGcN|+A;T?tN%qz)K
zLFBpFiCUx@Y1X{)4L-GN<pMvESK^$AM-GH<D}9Oolb9fnXq~r-QU**^5~?f=^PlJF
zvB5v&8B~fU1nY<S2N;ReI8xvl?-5T;^)uzxTH)u82SM)Ts*ODLse7A~7{mR6{i%~q
zjJV!%svUG>c%n9srUzNSeL{==Snn>wdJ!clL#Q^nBCmB6EH&~_R|>j=r+MSzSJ|K+
zlE*@r@aGhn`n9CfZJf&WuK*?@E-m$*>J__?Q`FQ%*l5MNJ-B2vsL^zWhm-C1wY6%@
zewo0F_$??6i#&K?<a`j%IaiUv-XF^MnL3r8lORUYi@){!_60T3Hm2nn!=*}-+|Nc|
zpACDL7w@{3&y;?-PwgcS))<V-7a#$1@lUA<N5dG8CQw}`w>s`ZPb6@&c_k7HK-d*F
zbyQy+V5S_>Q;?=qPoKJ4(7mKefLKx#P~t5+Q^twMHOZziyIH_I#v(w0%$RuzfDHV&
zENl}39LqxBS`Fn#;gsyyr`80aK=NO@J<KatWUCNvJ-A1`ep6LfiKNzP`9!M&KC6+|
z&TJQvjF1<@wj22cP2||Mn<(evT`Tb9E$xgs@~og+Q%RDW_Z!4kCSgK{@$9_-oa`Ja
zK{VW=<(Ym7E*o3gMLIbAaBzIfEZ=TW^B)<yv4^}g)3%<R<GnPz7q($@aJd5Slp69!
z`mFoLQXy!o7`aTknVpd}CcK#n;QV4jDhEg=wR?Kvkx4V+TI%J5ZKhX;r$=)K*{j1Y
zQ{>mY&E?#~cw+yjZxR2zcP|`6s{%Nm-%oNE(KKc&u98ak$gN_pQAqxJ%@hxj6y)Y=
zqKcc?6p~s_$O1nuOEw;|r}8?|u4+g$@gO6Dn>+Tj)7bf9Y~Z|6i>Isv9>%g5WmJq6
zAZ8Xs#1-#y{23$VD_s-1eV!-%E9zJa!&q9{l;?soW)?OQA|0`TVlNYm7Sc^!oepc(
zhexv?a)4rZ3Dg;**J36#)22TseH6KRQAX~^R?M3Q3qbj%C{SoB-B+$4ILuZ~mrG#j
zur~!c!0AX74y&v{Vz>89W2&biTJme=&GT5%=+GM`i$Bx>Th>!@Pi>vJ#Y!qB&sZ`{
zK7X!T=OsjX-XwGsa1k#Z%XX1VuC(;eGKU)Pi?zMt+A7o*^csa6)R~wa4u?t>xk#jq
z^ztt{@U-AxLGv*MK)q9cV5h3ca$2;?KB|vz?Fz0uU^rKtFg$+$$IiCSA-g`ALpSX+
zU`Uj7W<uwhu4Z8L@G=Tw#HQ>>G}9~bX5y?yZ}`JiZHbmkE!#BjJ%AW{?o@+5e7a45
zk1TSH?e+{Q5qZnXCmlm>sG5giW7-AHBS~PN&F7lLz=5RaYLgelEo>4$`70N_>%Ro^
z%P`OWm=S8IXy>2B-mCBSp;;}fg&nKkbPinJGJ9IBi<9~iFyOoqG*WSK@GuBTvzQoU
z%BCPidje+d5$~z12GKw)WkAQ2{0``}BR8C6e1MK>Q%h~3y~UQcFuoyMa|1gPP9i)V
z`uO)hm?Ki6c6BweFJYxk3*-_c_r&}YjOan##+4)(Qr>P$P;0%~7ivqXd0kOenoXfS
zMpZ3|=yYET7t`8WH*3kXQt(V!pv{8(d{E|*nzIGW`ZY@U(jRf8<nrr-2OSHXXBJg}
z*EX}XNim|^Z)HSE{G3XhJ8)Wy>cb-&B^f+&%V+0@#HV6lOjz-<Curs$Prkx#dMIv4
z{e_ymXFrC1g_m_3b|CQ2vkAjvNthGQ3}jm$zt^SXj4a#k1hjc@x(>$+#c;!)j2WfE
zL}NH5^J6ijwAhym(0*QUd~(cr$@mk+CsZW*!}1gEJ7CB@#gDF(BGK3Mc%RnmE4e8i
zuvf9^DYEN8BOt~`MQXe}RJqVq9<BUjQZ1=CB1RC-9>D3bqLf%DgSKEzCS;^3dZGCw
zUSPMRq6MpA(KcJf!H9NHUPk@nLegO_>WTar#l$zYQB8GUhvR6FFDQ%MoC_9ViUV`T
zZm>w1X!*J72E{%!Y{bfcaOu-yqzx3>9yTR0OEdt5yXv3fd-U-eZSeV64)K_i2)-af
zWEQiXxgx_-8-RrdGhzgQ?ium+!7048Nm{H~YlxGWfcMHhm(*~uKS6QZ9+5*s@XJ1R
z8&L8I+t76!;nbSZF`!IJK(SJA09qGmcjzKNPJIG99N>c3p28I$CY{x?B)!>{j!3;U
zQEA3PfLA>iah%p|$*LQ`o{C~f9H1z|PaSM&o)H^n;w!oA-{$=`Rv$iD?mRbr1~5a!
zF|0?E9N~b&Zo70CG7MZ>8dV|+S~#iq?ryLgS|UhzZizm59NCk((S@G36WAtiLC)=h
z(%Li+7Q7=B$4MSZ##`$)I=hCaGz{y7(XPI|aWS_544J@uq;wkJMbc-L;y7PZ(gTmB
z1R;d+e#g11{ba7gq^KQM1jK%$3`x`ZVZL#{JI|(WH@@h=>uOg6<`WjF<v%7)jDdWu
z11!{#BCkZ08fq?)mp^a<7WW*rPd#t=;+=RbF!pYJ=K@-Nx?TH`690zmep${gZYglO
zgFfVki&jXB@O^%<;$7VBlwcvwsSX{d#^##FXBX-9I~@z1pv4zk>3@>gOqMQ&yljcv
z?>W;lgKYrvI);`^G*co}O$Tj#=fL1Zo!W>Yj}9;J#G28+kfy<(K-W2k_P<dWiOL^r
ziV2Dj7NtwUdowYl!q~JE<s>=Rj^#_7)01#3C_qb1DSz=pjfT|C0oDvN&TCrEq8u9h
z4&#pTW+qH2){WliG1e5iXTY_AJ4q@0$^5=oCmshYrKQ%z%c?-)<ww(`URGlF`Csv;
zFKy+SVHO&iV$QL?8w+1_>`J?0$rx~TP0DI`-1zcw&?$ir9~b!Xf~j9^rwm499KIXs
zS#j7hZwVlfu2&)FGa%Lr0-Oj!Bb1;eZ-*Tcn7i{)S0{Pnb(Io877y7O37?b4hb=gX
z&XhK#rkEeiG%6+h*eT^kWnz*qoJ;iua3)u(6!?Y*WtrN~Q@=kfJg_|}!DiL?Lr3ia
zw<LcjZ0p6Vc5x97FjW5rvic1r$)py%^NzB$Peyusq*34$6R*y}@U;Ri;H^fp9+c3u
znBkHNXcQ#(yU+sJo%B58S<S<*hAh_NYp6R`2m`U8c&mV7$~V%rJ_?(*TB1i#XQ>Y9
zp^Ita#X6zmp+f1xGQ2y<`;+2}o1zo!G4S{mvRxMaJK%JpJz-Db)R&rvcZ$084M16q
zmA6N!G|L-eK;18Q2i(g>iM4@LZXS-8@b18YZnGYNkF{T#Rv3k2yMqz0MCl8Tkq*XR
zxOF343s3Pc1%cwj5Pej)kD6*S5nC-(72B~WTFgo0fnIcmeU#`cZLLd4(B24Td*`8R
z7V0B;H5YZW_{?w;7%^<Z*j3=kufF9p@1c##8b_bNb)3W`xy=z{G{|4}yPCT+dMB1c
z&T5ep*WM(r_i6^k`!4liDvDuYP4qadVWnVcsqt<F)TYN{{}JZ?Dk&Rd$(X&YJ1+2!
z_Q`JP9<lq7Ym*aa*OaB|B!E4rA~&A`1ilFlE#?Xj8|#et^Bd>WlE#P^TzrRIy-3B9
z33?9<mXHyiq`9czDNdf>3Kcm7w+cG?TIQM&7)lRoeMUb0Yb0zdsWQ=VTZZ!;|1a!V
z*yw$9M}GH)f|8}uE5%w4E&gi$?`*d?WjI466JsruzA2R`zQ2Cw{5s?h2PdB47ZTj<
zh&;pkN<nEw9`B~Q^Y<bZ?M)pk?Qil5#&hro&m)GzqI1WbV&13nVw8-$Pi6*JPHKZI
zpD0>$aDlu5jf3N<i;eERP2rNS`R>&ik2p~6M0*go@`}yYYd=uSE<YX~!QUw#OVhug
zb;c2xU}O++N1Fe8y2ID`t0>Xoc;9v2zgCAIcUT2Y`?vZ{F21C&u|&FARGjMd_ovwe
z;oI`WgUY82!8Wi#&9J6n5OzDl8Ie8_b0S)(HQ~X-0=gt`cNVqnL+EZ#2%(?z93h^n
zgW|+JC_hjai$5DtWmP{F1E8K0fa8MMZTF`Pgd&%Lr^zh3jY}&XjeSosyXMYQw&JxM
z$Jg?e$a*+H+Em<oqavwop{&Ik6vn1@NjPl4;}rLSld4*`mW}y{#P2BMCb~DY1oTG%
zbY3mQW+MGGVKUY?QsRwH*3(28#FYuOMC6PPhF;(tqbCxXW+y+fg@*J(op9ThZ@Y)1
z=pVuLpBy(T1TQ`g@O~blK_!`f8{lGt!^;ApHs+3g<2xM*hKr=ay}0dBO&`CaS~M_n
zPR3@mSwO3US9rfD@8WD&80kimgdsp=Y5j#f=mn5mk;`;@APwsJVUrtg%)HdIWhOI2
zlEJhvy8X9-iodP3byGJo&Q9|=YPF8_OCvk43aX3WU&+Slf5igc)+A-L3m_AC4&KQP
z?%N&y;G5Y(X%rI);bn~LhpAsF{J2b=z$Y40bycC1ES1k{)5GDQN&}5y<zad;m{{}r
zFn*LCn%g3-^q2A=Ky0<oj>$Ld!*?H_8Hw}C?vUF?wbNIf!+eANhtvWpCgO=qEA{YM
zlMe)t`frTFl`g({+uB)cTzu(zDpC26cmhMUt6QHRSA8e&X$31nbQ*M?3H;YGMJl_#
zG!%8C;wKn;g<UcGL2Ri3ACNkg3UO;)XpTKMNtPVQ@AyEGY>%eEYx!-H`K|b!^ry!7
zfL-~iX6TCyrGY^!&bxXwBnXF5{}o8laD^0FZ`(X;u?wG3LziB}IZnO*ODib%w!K!0
zVuq5UQt-%h_4Y`rfkyi9hj7z+`S6cYS^RJDw`*P6;xM%6<2ba&WHm_vN~=|G|B(8=
z_;gH0-tF6y6<DSEfZ-MdYeitinj@4o&Uz}TVEcC5<v}@d;3MvsoQ8;FuTmT>5dJiE
zb9=%hWoNyvgGXeu7`ZKT9QStD2)cjuCJvn>=(3ZO6CNX_M%rmI-a~=)dG)xpf^!CM
zgzsPZvX*Usio;@xrXfT=HZ-qZ%M8uS`7s5}=H1$S2eLHZT2cg~&9;PbCSAM_=FbUh
zOzCk;_847SUc335$@J3{U)V;L62PrnoSb=a$^`ysWj=K?&Tiq+hHukLK*_1Y=7Db6
zU|)OC?MIhKp4i#%R|}z5-40a9q+HO(n}=g>V*cD;GWblwTjKg{r#Zn(eb=yR{;5J@
zc)R`C%U?L|@@hfn-%o_vwXAs|)svH4kw1oAwa+Zr|4`Mn>*8HZR9fr~r$IOB1E|~f
z-js~3X$%4KEw1GjP<ic}deq_4#6h|E@%7O0>NdmpxGH;~i^wp&^`<tj3PXzA?ZM;)
z@IuMyEfKCCZy>fgy4JaQTK2|Pw#&YVmjXr`7_Yd-HWnT58#ax2lIF%E(H=5JjYl+T
zWh|;*Jf08y9kS!RPn8Ajd5hK(M{Mkz2PyBS9Giqpg3RwwTHiPO*iMBcnE@L;E*dh*
zz%`@k<V9n6Te@&LWd3FCJ3!+$34p{M!SrdsB5WmMIC~N)V;g6DO2J>CW_wauZ40g0
zU#|k9mcNE!bK^f|c&(hZbLv&ya*JJ`T7@0Vz;+jQ$xUSwqoKVM^Fwm;!Q%ZMG%5Fi
zrE%XL88M2gSZB+>CZ6Xd1K|Ix8@d#8K)xO!a*Fmw_A!os8S}s3ZzjSyZP1dO23moN
z`SSMGVK{@Xs^eBrEk~s?MK&chRQyqx=apGBs=8fv!eJ!v79|WF#0fRz^x;(JRO8e>
zaL8WojvmoGsCY4O1gr|7ZIJ6v&(D6>o*dZ#<3q-Yb9r1xW|+*H_(4C;a8~Wf_XU4C
zwB8+WkQbk{5?1U{%Gkn?w7>~clMgh0+{T&S^4xo(MBq!^OxL#g4Lx5_g%Su~<Yuhe
zwbah@P33{Z0h5&->6C@YfkOR1a0$5k9Kt<3e2R-4F3)0{HJ%mHxxwr#$;1=;dUT=R
zRTUV{wX3`fF~1{ugs7@&@@r<NxLfb=g)n(Xd7&L0h2|Vixk6^v&lAmNQqS7a+<ka)
zH2ShC*MVymR$mKObV!VDpb?V=-<u!G+qtEN<gjR^eY3J{Bqm&@Cx=HG7l44)iKJ(C
z49a8a+0E3uY!S60BkEDB&RwZvdEkr$k9|FEYd_Uz!QZ(8OB!&sCYDi*snQt8271j4
zblzo%*=jDC0hCFNhep_XJ=#uCcj~yY6&PRx1$S5ls`d7zhs#`8_bx{nnL-AGVT5>z
zz*2_OD5;{Lq3Qaa(ty_~sj9N5_!!$jH~fSk_eTBg(TvX*K-5}Cn!u|;F~oKIHP0Ru
zWaZFFdb~+cV^78XX8CtJ7Ye}L>NJ_!O<1R$X~MA`-oPtK0yw~#_~Kdr$Oox_9j`O*
zTXn2O$(O}^E#HdSAqe==A<g29c-0yDyav{&jPfNA^?5g`CDc;^`fTsiTJ0>}tFD2)
zwF4cw!4FMMwA)c&Z4z{WiF~&M1P{y|%IuakgA=?N-B{YA#`;$0zBp1>`rUc|mMdy0
z1KOV1XR+(u7G3eqL3}8MiY~KxwPaEp5{R+ca}*8}|1~P<KZ@MB*JS7ZK~vJA9~e9n
zbvXFeKh-VS#oEnkQ^its<fAnzl8S?PuLlM>q@37>6BV%vPcw{W-CW()+ymTkw{=Zc
z@kX*P15;ItnnRkbsVClCPAxa6-BqM>nCr(mu+=ptID~)PSuDP~um5x<>Tqv=%1&6Z
zazw`6(Ph_(5f^N`>*Q9`>UUWW*xDBMfwbJ744g9E&s@J=`_{So<`9z84n+xOneSBd
zEF|=&P~R<UnDX}ob;Iq2)^6_SojO$NYnHdo-l<~8X7D)L_(3T5qxkC})EU{HcvWWI
zb5ZfR8nlsK#O>*rdMmAg8u6=IyTmGQ-@Q3cE)W~<0XI+l0~?I@GkR6vla~4OO&Yw~
zv>5O)65aY*7)Ya|vx1;LP853TJ+7ZkisQCLp6)E+bW{Y2*0wM`I|ntREthJEIWAH|
z3d?scjngf*io7$v+0_wT9fbm)W^CVeo@fB2$>+|L-$gLgrbJpeUcet*aF2V(Fx9@#
z@X6->67M-x5rd2%KB<3i2*OU)J!_%)jPrgZH&H(a&ne&vU?W3-b^1jEZR$fWzl&{W
z_L@2<mwA^L^92fMZNd9C@nKKcJHf;350|f&$G59b7132z(7qtMvU&dx3gE5s`;UDR
z#iw7h!A)m+-<|`LAB4Zy&Pqq4fuxf=CFfe^E%>cwl8h1Q7@wMbsg!NkueozCiBUlr
z3ORfm^F^Yi<tgwyHrQIej?eY_{iFEr>t70Y%6V2ljVTC5Nf0Q{OCpKhk@~Bt^hHv#
zCUWQ7L2UZvQCy+&VtmQ2sg{f)ey~%-3HH}ip)zA2DWzWS3ZG{V7BnoTHe$;)n=HeN
zK6^O){w8KH;=Af7gm$(^ISauG2;Y5ln{sWiJZTY^m%JX{b#3A+lkb<?O0kXagU6nl
z{tq()E$K38jlRJd0xvaqLn;!$c~kTUDl4lYB?jL!TJVsX+mhD2bua2(N#5iR<3Pm3
z1zTvkn>h0)1TSbfC^|yYKDpw&T4zOYebL<&(wruopX`krWsneV-n;Q9X#TAZl8<-k
zri+f=l6SbH6qWI9tS>*m0X5n+%SjKw@8{lM?fuP%<MOUim{zaK1;Sv@kh{|T(LlsX
zTSwZ1NlF9i4@hU>Y5l|maS9KfD(g3;fK<DPONn*9r5^?2Q6-8_vV^Z0B}&TMh@b+d
za?&ANMQ1_j7h-HWOF=2P;%!%n$B8Eqx`${xV@<XAtK{QI8I9GTjMbr9SJP@kmEJSk
zH9=6GBHG83M+_QxTztPQFeV2lLm>L5mPa5&vNujVG4%S*r8s~{EH3RB!1<KlvtFrO
zRy!<Pu(1;ztrBKHBX`@i--z#@IFU@JN_h9IkEDB&(P4#bW|3u4sr`ic=~NACM`9B5
z5|r`2r*dDZ?!I;m=;!!BPwHWoxX<ZMyU70J`AY{$56Ac{EEF@3;~h;0d*Fm~XgIMc
zUu;@;u^yaxI12pQkRGsfNy!tYh3q&y2d+3<x;^fGYJm$8EiU$FtDVn_pfbWnE+z(k
zYUIU0Ip|>eX3%gi{VsHW5Zo~sv~{6V46Nc6X+16&d?N}ag<OrJ5MHm@hlS0eveq4i
zqICis4>vgY0;SI!q}+^(bUj!nRYH3CgAi@%JN2c9t3EC>BcyhnEF}<QQ4A1;&k@~E
zG66oV%NYC;W6~KT8Z?~#yKh)+s?>$_qA$YYOsjnhw^F3rR$PJhCBko{jsKb7Nmt?&
z^3Rs`kbcpOGR)q8=+x_j_iXGcswq_|{^gzLW8v>=%~?NUJ2C#Japh)#R)<LpZ<Lz3
zhE-fc;Yba=njQZ+HN{9*|7*cIe|`l1W?&NC#p79yGk?0mNU&LnK|yS#sKsK~h_T_9
z^``651+fykl>EqC>um)<>r;();gZi>Cf(*r(mh@{+~ey}BHOJuE^6|tAJCQzochiH
z&|9ukS~rsCD=TY14`O}q68Kvx>@Sp-(!RZ<1dk3${XwnK7(N3}&+#}g4WsC@_1V!<
z{25<{>UdW0dGnS4F@4!7O`eV(x)&E_X}wlBWao7hJCSBP11v&@RFGRCU>hNvl5MI~
z#8*(-b(V`gn;4+FsgEt@6n1dV%VZEXXLq^7M35g~2Mu$h#87;v>fW`U2_25V33q=(
z6hPpRY)Kj4IQbjnb&zZ+L$Dz3Wa*{Nb8l^*Ox7`{cwzgK4R`w^O1;+=3cIeospTrk
znYS!tP)w?h_t7gmMPVyRLhVj2T`toQ$)fs_uxd*E2Qayq(C^O%1Y%o&Ui<L;2sPUz
zF4#6VJ(8inx#{LKW1rU%;#_inGo8`jsR?wgP_xT`b#Lfj4HODUDN@X|O5|8lf2?rh
z@mZW^H+XIfEcS6AZ4DYRpt+MSKiw=k!7OhOVUP_Yr7H%kh6hP$l*LonRKWb^-7)V=
z?K+k)l&Dq>s$w?_maKtJzwh*+sg}e(G}RhuVtN}LYKZ}85X-_F_kg%B%#xHYw@}>V
z40LW}fd(<wnt5LN{IRbcETDAFA+ler8A}-y_wiIcTyTIHZ<vpocmFsjzi6|w>aZ8~
za!Jj6JnrwwR?Pb+M|>%XrxE|G6hq`$`E7%%4_4#Aiw5UEoV93+&V{(*ZsF`2k+yfo
z^V_FPEQc`nc#kVqDxFt4Sdy;!Uj3xBsl5Ag8vw4vlj01=i5e0)XBb3vv}^66d(}-@
zJ<9c^sh;pDj)2UR;7<<he76VQ++e-D7i^11k9ls@Y|l($4HS;W7!gAnXB5{_(ri*o
zHJ@eGx}KMGv$0NzPAplLfrrJEqw#T9Jl3#^gybGOOR^?%%>wEpQVNsDYDkRV=9677
z9__re&A~<#-(O}vF&S}4k?MVzvGsFxd4dFO?4#Sl%K%*0@AQiS4L;9GZRd8HeNwcD
zhS8vrJ%>}5%9ZGAq^CKx%*vdKYNh1TE|nC@{JB#9#V-)X<hyy38K8vZ)J$X+ooqN<
zGG<fTJxq{0&l8&{nlGL=OF3Ai?2h4N*lm#8q@)8^yDwp36SZcFms5%_4yM3Q!G;xb
z+nA+Q>m}HwiFLQ;WZ!*X;SMCeJ6(XB3{dVuv8gwXbgRcqk39z{cIA=HmhMX%-S=E6
zlYSc?!`65%ot8wZc`Z(dp9(#dpowC?4V6%n2b+(%MV0OMWODA$#58mbPwb8F?1n!9
z2sCy5m@1FaN1|Fi_sQ-7<qdIdK-lB3h&1!;)X(-ngkLY$;K30fmZOS6`yYkAj)Ss>
z&Y_x!{+>nvV-hrV$rfI+JVt*9sP{+3;-$CFd6N^rjlWK!%_IK=MPzz)p&i>bzM%<I
zkC+F5$;g0SC}7{`RQ$%v@B{;YpLO%m?MZx<RoG_iuFN(u@j%d|;{wbrE-YKTQ7zaH
zqV_je?k5dF=7>CJm;c=RABG{PjLVwQCn<KwZ3iX~dsDnSzXQMX5q#2m9bMvOr1V9x
z0`=(N9&IXB<tu~G&;Q7VkUTHL%ePLgx+1r#>5uc|xvuS!az~F?DV2on=bfNR>4*9U
zc;UPye!LND&!_rXhACBvGT^=ToU@)ms~>yh8!Nt%2J|vopfap{M(lkte}Psq<D2>E
z!OPv%-1zggeD88S(dBIyicHSYZmQeTiY6EyK-j*;67CMxxtxD{5Zd(ESk%TGpK{2S
zMsvM(<$Ux)wI}Cx-WWbYcJVg4?Hu<jdbMSrSftmE?8D;%0h5#tl28;L^VvNy6d=B4
z6~zN$-<YZrtQ@&JYlSjG5b7($g3#p&Ex0D(pc|MMhlu^@Y_)b({^LFGWZx#X&~!~-
zt;fdaj08*Z$}8AJCX<iXTB2TMl+^i5OUshZ!icZawKFpLHj}7Iql;lFSjaHfS;|6p
zCT7dhgYjN2@Z@2<+w4a#g$Yt=x?%69t0Mf5$cfwMOlEJm0afhkE6gm{ejHKNFeSn!
zu;3p8Wkfrf8S=A@S?m1DoC&0LcX~wdAAD?EshS7}MwR^rTJW>SEOOu9=`3dcs&6$K
zHro9#BQvnOd;Jr(nbu<2Jh;5>s${s`Ow6dg53pq?&f2ayP1{HAel|e@OR<|+ZQ-XS
zHw<@#V1A5eoCuiOfYbw(nYgv@CPrby&uU=KK?6e#Q7E$=HBb=@mL-7B0r3UG#|thr
z2~6{5t!q}vseP$?VKIE&IMcP{q7MpI40q3{+t+q4tw`_Qb!zjRTezS6i@&OZJ_>X8
zF?V(TW*WFCv-b1LDJb3RScTZnu=5bLSs%o{6hE_$P~v~UAH$1l#iTjB#;WmLS?t+_
zu%bWk8c{Q6)LY{q@HOMg?ark_v)sTgF2Kx)RLpA1r}F^aDz?15mJY_6G}zLk)ob_%
z=8%DDkz%(-G8P|LV=u?^$LMYGDa)U=BZRIPeWP#JwTuPINFR(%>^lP*tf6i*A0Kh+
zUBT76!*ui)QY{A`aXrkqS%%eCdxfOmE^9jR*Hf~jgMBpLTH>qoHp291i9Ew`-gJjU
z$Gwjm5w2Df)vdX^YL`<FcXOW%Zd(mHhl!xrcN4z9&4IV2l>OMNHKR%WwwVsv9gf-`
zUY>7PRU;+WlLzo>o-G?bo?xCgyX8Jw4P?7S4hsaRE?9j^2kd~U^nC6uGkyw-XT;~x
zdCI#Krs(UPfE5^9O-aGhai4%bzu~QiYd&9UjG6Jqfjkmt0B$3^9?2b(?RLY|KxpCu
zLM`za{Kd2i{@^sWeA8YNIQIsG`+9-r2jM4z88B@k2fj!?EGb>|;(}gM!&kFi+PJwt
z(v(v`pq}5wPg_R1^;;Z)qII=tq4rxxL(XvlC8WMTMZZSo>#hl(r{G-wqKkxBgzJ@C
z+i%Qt{9?X45ad^yHE&`zMj*W&V$B6(8Mjja-d%F3FZ!2xk4MhJNCq>GOSlNWYO+o^
z{MsP{j-5RjWS5-^0GYTU@IjOgir?Um@%Zw3wUw+CIyL#y_GU`}F3mc?$!!n@`dXnJ
z>G5SqyHI=qeVrMx_5){iNxW*Xs+7`$%CcX4JnSew=&^hjL5>eIin1xGN<Iqy?&I~!
zTAGi4y==#SE?lW^TB`kY!`eTOp#{<6Xi@Yxhlrj>1s(P(#!Hf3ka4|)?=DXZbNgi_
zi^g<)g*ert4Z{6yd(b@G;x(YvmUw%|LF0PayBECGpT)i<spP$9P4)Ga7BkjogLAt+
z{-pa|O!;6SPn$;%>1ziauZ^rve{ccJ)A^weZ`k!drG+hvH<x~mu3+)80&W_2O3@OP
z%wM%wh0PsG@$90<a2?{{m?C&DNXfpd(*t+I<$MX>S=uf==43KcMj8J>2Kh`1gAWtT
zVoGqQUNQLor>^%)|AjC@gwN<84ZFc4$E;fAXIE`mzJ*(WfA}k^NPHhL@acNdT$`N0
zk;o1sMg`B5GkcaY<L}J7rvuJjEiX4{0pwl<&o>o#!1;J}Y{?#4Cpn10pVC~cm)r}-
zr{(-OOb&c<&ZE*rpZbDWUu;Z?9VP?@N4ztLzc@~;C?FJHj@TAFH*KmJXdDUbv%AQM
zqv*TiOv=;`Jl<5T+y?Q8lhf2};OS-?-uUiN!DOMOKJrWNZ^aN7KJhtucjn;9Uc9K?
zObXDnXovngt0dvz;w_EC7bytCpwUaE;x(u3d|OGl`Ev>j*%8d(iTBXP&8MOrmX1*9
z;%fQ?<g;!2rL{*GMi1m^NmDKF^`*4bxX37ryeI{8n9J!ymsh8!dg#L`eXC+$Up6p)
zn6zvah0BECO&S-Vg(;DlKTPxjjovhH4K`QxP{OTK(m@x}f|5^1mW;u9g@cCcFaEY!
z0NUbRaWk<8emi)ebeN>MX2JMo?`>I!R9)UWy=RGUZMJWs-*x)JV7;0xES~D|reUtV
z+LGbK`HPxAa@cvQ;MYt;kh_u__e4^Jy5@PzJ;1AVSXQ#wz@qU^dK;YfAs1q))mM_;
z#E;~^H}3eC{k@X@d{hR!_1nu6xnm_nqo7onoA<bsV_(^cG=uzf(pWB-{Wk5!Cn;uH
z=;tAC;Pp>WCi43+EgjyyBg)@XU9&#v|4|!1pd59*e2l*YZ#3xF_?)Auhvx*!M5g8i
zU6*bVx2xC}FeuK(U#s+r<2HYJp&1*UH)!>IU&%*!ra7Avs0;pD6t36uRiD0I_&MSQ
zRjfL%1+Q!B5_3easciKKxZ)BrzBl&VBOeZdsntY&LZS@WSWgk35Py3c18=H9e~O*H
zR=6IJd!Jr_VP4>q$RoahxA7m6+PRRcj|k21r$t|5cW!c*RQVv<Kw=t*<VS+7iJuJx
zw+tR3pVkp6Va$m#?ZLOTpt()WJfo&i#bXwI8oYD*#{0^_tKNGC@6O4^Xdrk@!bqxX
z<aFJsXOYtd`d6Bg@VvR+J|!tCUR^vTDA4Th*|@sV@g`aEL-x*8dKq-u;)_D3_(lh0
z6d&t6Lu}g43Xw*byt__r4*qoY+ve2_A6`G;6DqG1bI2C>*m?9C15p1pIz(*m>r**q
zQHzL+74veN0GJqGuuGDktYMz>wqh(mh6h*BnmgyWJh5vxcOG^Or<L!lyGZ1ArxIT9
zu28e4i4TY#fv-W5_b+3ex;N&n-s-~x9&k+z<R#WuBS!Xb2uH5r#oDv$!!MqE>CN!3
zsA!Wc8r89N%ADv9A_z{7-njwcf{}f`I<OWAUKDR^iB|~lQOtm4V<E!Ts!Q1f;6Wk`
zcpeopH=+*h@|*=YZI&K9+r+fNz5^I{)<;6s-ILT)7y-FDQNFkQ%Id!-nKC>CLzcee
z$7cir)N&IQK;HqlhsTw3GY>jp2UX(XOts`$vyZ#8O6d{5UgbBB$gBdWUpV@#qzjKV
z`ZC&s^9rX3T7gr(9mmES9c}RPVuypagNQx5y{W>4EGL+uqd*NpOLHo422c>Gm<z71
zw_W|?UKxnCwo3Zd8zDwD4@^xEZt_^~pyp(LCZ1(X$G#}M7*=Ie8Zqt|x;`xVd?m(N
z&lu;mp<sCLd`Xr6G0&%^IrHa-9GJtGPN`U46QxnaT#u)V?|(OJ1{@5eQw`2P!MI%c
zLsF6t*yQnu+bH4!uq!$h!)AcKjrQKQyH0zRg#4C}VaB#TZB7H6%^JD}birUEq>Vg}
zuO-5WES%noPI8JofKphepVBuDSPzfvHwj2(yE-7!$fsYqO@3k*-xtmp9roI=%_>Yq
z2y-^Bk~6dlu{DqC3$clOjR=n5OXFnP%u8f1SYMV^_Mw4&q)S=YBFAJqW9&Iq%9=aV
zp=Ct*pr1C`q>VtDDp&>2DM`Vasec@&-Dc7!6{ktmkDY>_WxMDzk!xoc1QSAVGtKXk
zo|K5kBMD3w$1fTQhI%5d2`olLo3~7rLrs8q)Ic6(Kthbejmd|Zy}Tt4%ic;6UwV;(
zCBL1!u#h4l?pD*!%wJi2cIixfJWZ*`J9i30kTvD|_{}b*igx8x>OAM4!-Gn-5r4k*
zk@-;HHpT7Ly#P1N=}EusH!f+r-u6_5oGjX=U#*s00<cRE-Y5}N1INRdb{#OnP;b*K
z^DSTt!?cokHLChe3u*+qY_e-Aw6840MIZtvUaqY6*X>>l^DP(OQ;oxaDT(r6B$6Ov
zfv+0ynD5B$OT(LiuOa=i0avvJuvFpE<x(Hi)3gAfkk*aTmi04B){Vrh(BKrFiK%G+
zdh}^06+p#eS5}R#4((0kt~u}V<@Cj@Y2atW;5&^Wws*0chn&+CLB>!WVK8d4GW;UN
zcz3ipZe`X5@%VjW)?euM>tSC`>Rjv;F?n@BIb>3h+VzL$CT7{4YT8AnwcWQ4W9@_L
z_K)`GM1EX1|C^t9#OgW%+;0f}L+k1?d!^5=hdpsApf$QB=H10xIK)G}Md?sTjl9W#
z^kay&qqMz`)`V=WQjyXHQI2EtmE3aH7wn=-4f0Ni3lmS*DqVKW0%=hu9KPYV%)%*;
ztN6Y73-Fb-kRxQNKOR6cVy}8){nj~SFg!ZpM8g76dufiVx5SLUg+`Vg<wx^39B~lJ
z_?sdEP9r!W(OA+g4x&xr#d+82V29#PcsfMarSes+Q7uG<#omYy#x6P|4pa0p`AdGU
zd}0f_7yoYR1Ke(Gx6P#aD#)h7C*dqu@^NF1HUF-@e9*$xfb(2D=+!R2R5!<WYHFy7
z`cGEFn^G;>S6|-I`$O{fi=1`OHw6s?1ps2(^#B>@^`=Vdu>Xdv-pk?Z#cXVmU2+)j
zwl6hzY5qPuOrijfAqJ)3Mv7gNeVYW1>`RDV^s-A*XyXOaE|)H8tobUMXSIw^|9Q|Q
ztbj{x+0EgaZ*7<|9gV<!dwD>zJoQ8Mz*_NzXyn!Nn<rw{N|30VfitOg+gf_0*HmH`
z1Sn8>HU2|;lgu@lAl?p@zraEi8FoGf9j)3jKl0ti!{23{3-e7icMA=mK5oP)V1v=e
zVdEn@zCE9B9B?ahAZT{RU$iK-$hoYrZl|v=UyI-Q3t2;PstlKWi>kgp8-REkTAqUP
zsTYizJs-ApOp6w+B<q6@v>UNXM_Q{N7RqeM@z9dt`BAt5aY)&V#A6$uVEcoxElJf1
znlh;CQN=V|`LDPPxh~D!y5$hsn~5ahNGWWKCAZZ4TuX44KO^2k#`ll7RFAHSb6`@Q
zD0mlb9`OfP#Cw*Ifa1jP)3B{9P$1MYz22*>i`qmqTzX~>J{7qs<Q?WThe^LY#+M}J
z6d=*Ceo~bnBuo%loiXlq_T5Y9UoE<U%j@37q)gdb5|~dZ>5@~9EnzU@!v-vB11_t~
z$j=6xOtf>0K)IeW@eN09DDe%~wDWWZCkIqK3$GWnjEmUq7IEwH;%r>+EbxO}H|nt&
zO|bK>TeNGLe;!8GP3`;_qMC3t!IOOY_lB96_ol4;J!~gg^^};SvAoCmuk*|CC-6Vw
z2ldzw$a_f4Wyemdw0j&g%7zbnNJf*gnf%#A#eCVPv7hHoCMqs33VzFql>)yhv4c)=
ziqmJ9Wzt-Z5f*8_Zc1H>FO@8Fs-GxYxcc<I6_ZRL<vK@)%jTojp$L>qO?cI-!$lA9
zDEdS2u2-YMoAk?y+Z<=~K_9rpX$=gYVc~#iN=zOvdyPqWJbx&pY1-qd>6a%|$=`X~
zn2=W|@U=bHcXO~YoLlo+0Gwp^RK+P*UF1Ft_B+IA!3wz%``vX70K+#XnJv{B0a|a0
zIc@RrjOS0VX5W;NRe-wVu@wvE+Vp}7wOM&{(V4SR(DnI~TitMr83rh=u1DDXQY{rD
zhil{7Ul?i9*8*N4@}w`u+p%UWtp5-$j_6fplsE@9&!=+*hTZA215vJ1Z>L;@YS`r<
z+)9;Z(9DSER7<&u?2ldPXW;j4_g`9D(4NHUtIj38p+wB8Hk)BMjL5*f#d99;zEDLA
zL-$%IxeVt3(pjD3jasNTM57s!IBw<Vb`V5E1mJLWOed3TGwFV6W*YtNVWL3b8#TJ5
zao0u)<gu?zP^Q)<4!8Ck!+b4}#;^@MhK%4oF34@m;XDHy`9Kx0U7uH9dz}+e(G+2a
z!R;OGDQP+)#(Z4q_?Ww99lSYr-FN#0Zvc&H@X98+dkD(V(4H6A$fjDPy-yIu$RP9`
zXZq`q?3PhBmT?QqS7|E%(fG*Vx(0F`Z#=FTKzo73wZgWzMvI!X$)|JIzhk}93#w*K
z_RDSrjRyFQD@=56*qOr35Akjz@}rm37VhKC!MDX7*H1+bxbJ`DLKq^Aqh2ByvdMI7
zAlCm&3h0nQ+0mwZnO4DYu&or)84C<^K16(b=E1k>4GrOH0()SKO3FLi_HYpWncl(6
zy@+?MA#*R(m5%^7A0xU;9+>!Wn_tz?4R{wC)s8lItXrT8rc~^~;gnm-JmEC=GTwNS
z;~0k4fOp<U0HFuPj)Y+4Md2q=zjh3}oMGKF^}8L#ydRj%+Rpp;LRe)a2lujKzEW5G
zogmI)#M8BrXcB9Gbay^kFZqt{K-JA>9*`ShbBcb!<}o~IQOwaiF*Eox#QHkFF;NLE
z-{{ZY&VP;nUQg-AsS(zJ&Yp8&N@wQm6CF0a<aCX5h~j81&Jf82=exXF`~~xlf3E2Y
zAt5e9m{fCxf*V~OJG?q3PL)pvd)ABb1!ED4z{C~)<|Vidn0swY4!O9|9aig|*A9yE
z27Vb*jle?HHqQq8T)>*o{t4SA3fcN_M^Ohnriz2z(8WV<5Bm6V7x}Z+9bSan6A{C|
zgKT!n3PQ^QuGDy#?=@|9tE{!e1P+rDG<^5q5cf+MeAXuypGpNnz)QIw-UpM4zfnKO
z(FGsT<3%xX#pLXZyP52<1~Ro<kB~141=~lr9cQowcga<ELo>mNIL{_}CxH+$5DY>*
z+@ofzs;v}Fgl+sTJjMU$dIhdftgC6DT#P|_P8C5PQ>#?T^=?8*I3-=mMiu%-+F+&l
zVTZfJdxjtBmfsUl-whuKUz{vB+N85a5t!E3A+_KgSAfHqDf_TM^QG+pScb;@$%I(J
zihuntfF<YR!y3NAmsWSy-@Ia2>`^EAqR2-q7{QN&nB9pCp;~-|c#r1#pf=e1hWpjX
zSxDr^kON*?&amIopy6&B1>vjy8!0!yI*=diC1zurShFL_AZqr^s~~CAVw`>0otxmS
zaxVPdAN~NOOTKa$Nk)ujiSpeyJv9ssqYeRl`%c19I=-v1S4ST=7`C^)1t@R*xg7Dw
z^zsR+t;hvz^X#7>Aq;&@R~YaA=Jkyafss7Lm?r6<l2L8xp{6?+wTjJ<?ntWZhsSFl
z3^&-7&xX$fuMz92Xy?`9_Vc(B!HkiwS35CST3%0r&^Fx}_$cn6s3Emg$Q%iuIpkgn
z!ky3E6xyCu34V*mbie*Jsihx3M*08Pd+(^Gwyk|wFiMk-h*G6DsY(kFR1lReDj>Zh
z9qGOI5>aW=L_k!e1f=)giHJZbp?5+;k%Z2-bM85}y?VxPe1G3DGQ!R#BYW<(=9=Z1
zYd-sN*~<e6I}H!_KUBVwlYs22$2Qi;DG#fws&4`32>6oUK%ch$yd$Opp@$JujG<u}
zoy7W%PnUJ<mmQQR`WF_3!Jg*nsrmN~iYG)XvyklK+s$T{j`D^5Kh1>S-%pol+8(fD
zIU4qpSk9}cEJ5w$D$X}lJduz*{OFX|FjqAs-x=^{s0IXSUpRt273XCg&6q!R{?Tu5
zPee$6Quv_gCG2gPgY@2$aT&;l>k^|t-L<nwpcK-puCJ5H2u{8+_Ei7g>BJ{J53BK1
z9^>=^B-dybt6ks2mCq>K3F)so5?^8M`PeCuK>uRdJ?{w@`nu;!6T45w1oe|N#`V1Q
zkIJW0iW(}6mvrn(dY{yN_S^7Wx>`57Y&WBmRyJvrjtzL0hCTjT*0w8f@C>_1owB)-
zlL>?G2<Q_oe%Uz%o!S{6J!{(dk;{T&s|<zp#*efFROIZ8tiX=li+2uXnOp}4%<sy7
zvgaEPSo@I`2wvH5+FdUEo;0&EvM()IV!sz}XX(k3?lA2G@BCU;*dso0@#xXG?QVRg
zFBms@HtL=|@xpFE+$wk7rbJpNyQ{cr586;7W<D0N@;Phn0PDH|-L(vSHm*0e0vlT1
zHZruVk_S@^+wQ3D2HJ@KRYQ2kMU_~cpNRWMW++aA8fZ0_>!WZWhg6a4tvyS3LY?T2
z!(7cRBUeTrIezI!)R-E|!(Tf+%X+@jwSF~gGQG^wuD=se(`(%2z4LgwL2gigto~qh
z9X>t5n#>xIwLB(!u-qg5wJFPT)XZ*G<H*~_X}@Lwj15Q)+^^}S3N_#;^`X1qQVlZm
z{*Y9-<DMZob2Gh=&)8kPyyE*oCCYZ^NlnF}bm6frs?vKB_oQp98dycl<+nVF_e@9k
zo_pvsmhZ%k3}xBPP;ROp)hCM$+s7Y3`cA(9=xNtF>%`T7tb+b$yKzZ<HGitQ0<d*#
z{vTV%{(4W2QXsjP^?aS^t1M=OVqT_6vA8qo&#(W%#&P2g8~Zl>TK7$ke`BjKv7_F~
z)nO5z>ndQUaw=+6v-{Im;Hxv^_&u4GEYXlZv+jQofrwn6b)nr9_dn0|Z@<F^l89+;
zWVDp>__L|%FR}jhbAOyk##1vaVRF3~{@jM~A3yyU(+J}|K-7qw__=?V|G$rQ1AyXD
zN)vSc50-~NyIlT(vHsh;Jp<6(#TX$G@pp2W9FPEadMY0i`Ac#BJXvarZ=q$FVE9L!
z^fweIOFVd5fg@g)Kk?pwljUDBHb+ncAh4;8xzvA*;s5W!atXx(ec|itPYV2v_$m$r
zoS1d^Q~s=~{rZ+lFM%pE@2fWZFT_jwh<YIi06qzgm8II0#odRWdh1UQH(XQndW`<u
zkNYpl|NVBFt!NOiw4@tlLhNXBsNAUB;c6}tAT^lC3^-gv;(PaFJGd@E4i;Y{7od=7
zX`0uR0HcIF)UVEC(<jB`csbq4184+)?1aN}9stG3fD(Wm;HRM_eGi-apS9_KzurHO
zn_o63Ux|)xP@Dxi#Ea{e-`dq0AJ1Pwst7myI60X)^A}#Er)u5uY~0O6PuP`ghR<Iy
z^2z}N;?>~+KV$*qWDSjHc)-pCp7l<%0(2$gXl2Nu7VeKO%<SyI(*txAN5X2K0nm$!
z1lT+#m;ok^z(?Gy|20Mb@zErW*xoxaRl$B`3+Xw7JUJX|LOa%NR-&8FQ=;H&#ABO;
zjrdmgvBo3xq(9m<djrqTA-B`b;V%si(U4ioLj$x87`OlqAd2t=TI*GClQXB4zMB<e
zwSB@(^;LFNWwnmga}nq_+Uje@_FVtiEd86w5u-uutmj*k&3Lb5HYlhfxDY;ZiUL#9
zfoCVkl7PL!LG@XHgQV%GSEunigg?ajc%&qtqHd$Ou6EL?sR6t{8(No}AoCg170KfB
zu?|p(qb{`!V4#pQ#{)Az$I#Ua323~FFpgj=DmG7$wz_&GFaLKEDO6boRu7tUb3&8Z
zmM4__meZ`U(2&yIvE5JsZ;I_KIp4#~)~qL}npQ;%aHJ<@8aZxg@3|!om(^A}%xrHr
zhvu22Fx1Zk9JzNfdm4DIe=5M%#f<;#pZ_ZY_~nw+eM+eRloQK90uGg<3DMo~ZuK~(
zaXyJMjP6d@p^n+ymjie<W)5IAp%gM7!E<4>GRn|IHYpvS?T#x)D^y3pGTy}P-v=|n
zzAob&{0Iv$-`}p;q~_$y(F8mcz#hdJj3=QnK$_8@;D<1cbZ5Ce6w|J_0PJMR56lQN
zYzJBO3{jXu<dxZyOJ3oGn~q-yvk912!Sdp|9#JJ5I`uss|L0EOUtQ8fkJ!G)nua#$
zgy9cX2nZvBa>(#S57!9?CviInNfYglZS#<yynuSb4pV2R>eJXt(%Jb)YRR;z$s%BG
zy{)N>CM#)!fHr|ugk}yLZLv@dYyM39BZa*)2sWIM_T=irWvbNI3LSc8PU<E-m1t1=
zyZv1;oVO)f-?Lv-D!duNB*kT?9@$(=V`C0K>i6G>k?gdhvRTj={UT>|u5Zbm<0V30
z@{Q=%dxT~$i|@bwN?mbcSaIuZMj;}ZE}G<HK-8dksN9|T`rW||`K@3|H%iE{^NM%-
zBRQ7$4MV!93bID*i8BrcFV+{VJg6^$TlyAf=_+y0?}k#!BdX?rh2^KbWfUH5K_1+|
zt_fb0w0l1xV6E+?LM2l2R@)9;B<-hiQz+gGPDK@JG!H+S37md)$E2J%s;WOYT?xGR
z6~vESk1fMKn~rR@qWV}-T@iUkyL?)A^@lbQ;b?=IkR7zW?L9H#jjijt)pKEebxw~q
zwu@%~SHY&|{wdJt?|vp|#{4k2q=mffab4t%L)CMR3P}il(KrTu%M+ppHMK$-$dBt8
z=K3G(i@S!@%^>eRcY1hm@Vm>tBTXz=a}Ll4YO1686M#HsvwWYXv-<wA8b|W(hLQs6
zfGk0o#XB!MaOUh3XPsDT<ZN!u9elWh>*2{p1==-3M-T7KoJjJ4BtnCvznz`+2cHJ=
zUF3LUfAQeQb?hJ9JUG4M<z8S@NF&R`Q%nj1af$F2T+dfGRM%HGas{}{pH-gB%kqqu
zI<jyTXf>1rrW)~OH2tVP3ozhlfVRb7Ib|yDu<Ffy6hweU++`)x6I&N`!qXY}VUyou
zV1AIoKr(rwq^U8`v6S^Q$0gdAa*tYtkXVRZz`F#IxvOnlG#i5K<zu>6C61M+1LsxZ
zjNpSeMbk<j&KhY<!Y&g669JwvyUNoUo^JJs*#07cYpIubNlZf?6~dnIv_wIWI&hjN
z9Pl$DXO<LGs`H-;iFJLW<aV?6)PS!`5S-y?BhgLi73q%Ulc|Tv(4cBy-x7_l+dJR~
zR0+{_ZYfW5r&bTEGVUKE%%Sd-vRevg*{MgErlupnI8V=LD%=Qe34C$7mVNrE4q#2G
zEAd+rI5EK!t@wtY;yGwMR|z$uxCCiKHuU?}sWRQ$sg-}iFD9@2(AL-#K8P5$j_u}v
z%9dSuQP}UptfoGpIb-%*pZm++dq(gu@#Bo>x)?cSnC{qzq=5q}1S8>P<GmCXc^%Yd
zJn{{B@CePvnv(dAsX!eS(E}ZocgxK&knD{qTL-Q{;x7@vx*PDm99jrVtiN7b1!_0!
zFk%*vz>RwJMm949#|UpPH>BWx<^i{QiO}Ja<2`=|X8nhpm73u7kGZvY(|*N$laSlw
zLHp!Nc3|TXp4BI|8{b^&36P3l4~W~kSOfh$;c_^))3AdK*TJ<8!@y^3ki=ACyt!&<
z8$8lhm(KTH&58VnN5D<F9yz6;EU<zWaHZ2#z+Vn#TQq1ppP#k}t|ibk-!TL|jVVtm
zZs^lg4{PQpxwKH|__pxoYt;2pG$;aAgTCBu0)W?FU93)3NP`F1zjaPqjimY9F<~K$
z9`NSnf<GhSY#e<kv@{yqEOIe2d#o@^6s-S<6I=g99H3&-2$*W);E*juP#Cvj@B}C5
z;p|g4VRm0xkm>#k<jmU>@Ct7D#;8L`{?2r<3H;O&J~;QVeUZ|C^{)R_XjS#vhjbt6
zGzELf^30xIgjxpO-vyz44^32}+u4q2&%t|bvoG67iY6k|&3XWfEu{^A!bPaP99<_l
z?PZRmJlmo?5f5LI27E_ttWfPo@aETHz?C%w_dxKD3Wo=#t|S7iUK426vu)NR=B{;*
zO?>#F4mtVhI96=<gtP0vquYOXWx6tifZ@59It!jk*vwh**qgX*e`O2c;rXd<U48G;
z=^_tg91;+siyGHw;e+|&(CB_~I7(^BlT>w@DmS_X;1+stcAo_Da^-4gB-4xgXErhA
zgEEEXxzc~{%F>zvBi$858!t!L>KX;vj@GE(E&RyEjhU(`Kk8PN{|>nmg4mF~UTu_A
zQnC5gnwmCDZdbR=Zk)oh%ZKHKJ~!rXgKi*NVoYRkyCY2CDOmAdq{S;MFD~VHH#x1#
zap%`D%|8ObW-Dq29aYIfELTxMfb`pQvKpU{lRT$iBtiau6zPCWfMZcdV5eB(?0(We
z_kI5|J|??fin(K}mjBCt{_~{DZ6Hs1<aRgX-)HOp9CzS1d@!It-TIXi|0_>Q4gnIQ
z{M864>c7*;SUh{7=#;kIzwm|sJ5qudfE!gAB6nf`y9?6a1!Om?E*Sk=%_GI<SnnC<
z760~v5rFI+&KgDk9GG7ml+pp&ldzIxd-UI4@Dd<<>|EBfzttQ*d}12o7)ASw>-?2N
zUN2<;WWUlTSMj%r*dzSp&>^XK{v(qAYgYa|X(Ec3J;K-aZ<#Ig*?`I6tG%xNf2ZVM
zXPV9MvR}gexb}DR{6EF|W2p=NPqFZucmAhXf2_y<SuDI6Y5t$Z`oqNk&lTdGlga<9
zE7UjQ4A>~D@+ouwnd9G7h3I?Aj2kuT{acg`fcJLTx8;ve!wmpz^#|K*1Aqg`>933m
zBo&Pr`4;)^jp&T^*`xmD-~Nfw{qvyt0~G?sS0VV0rgdvr1A>$T_-g;a0~>yRS3xE)
zgKGiM@9Q7n8~`F#f)`)j^?@7tZFk7SbD{DR4O^{bh9pfML`~bBj7TkI<`FzsDbh5O
zd35sQay5Y6K=<5bx7%s`rw!{o_OMVqF)F}9Is>l!toqm1?|%jb|9()a3aZSzugVqx
z08zC7?p1t*-=>3y;~MU(9^?Pk0oYUdQEbzGEV_;L)VT@|J>khkJpo=*PY6I_SO*aJ
z9x<DyWa2Zdy7?G^T4Db+6@TeF;@hb=*nd(2ln`hDY<w;(*5|uF7wKu8>HZY=NyGnh
zAhX-I+kHP~w*M1E|F0nAGz=esZ(eK!7_od45sote!1)!t_d^?i;-&!FQ)B~fdJ^e2
ztcIjkW*W-IrAFcLQ1Djs`8s_5ho{0k#Ian@sW<HMxQJ;wJC&0q6g5qY2bjGpCTm=+
zh1v1UpvX2#$Q1HL-wh<W<kYv!7rlJQ=LMOg#%Hwa2md}^|L0ic4n9MwXdBy&jBddL
zxt`c@YfpfZaODq}wP6;o9-aU}t}&i()~H=>E${WAHT~o*zg7~SpM)^OW{^1{Op$IH
z;K-dBH$^dtrcxcF%Hddd1NV_9C+2);02eylrd<c1M(|-~2arr<u>UO|d8r$ya*=Y(
zn==gAgx`f%*C$l>g#$$Ey$QnlnZilANqyBtO~)xG8jg4RkOV|b-(qV4N<a~?5zB))
z*L31<0BxmCQyXG|3&oy14Ztp*c#>FIt9bw*TMJ*WGyq^C-^?J<*K~xj+%KgJ+$i%-
z0S7(6{nFd1Ji4IqU!g6+2vqq)eV*n;bUo|gw@4qCF|-LGtm^?)IDQ_C*tnNzUXe7j
zNY1_82{Vp<hk`5wd{H-oUvqqY96$xn<wIyi=4HSs<@Zfix=_cw)A#Z}yXK<09Eszo
zsXT9uu1h5guiP<dAo-EOgQoG_P?N+iU)OZe>GJO7)FA$HCAjv?io!tnJxp9U7<&qK
zN?Rlg-ednZ=v{MGd}RcY7OBAKw0Y#+%ME;)C^)8WV2ZaiUvYjN#189H`4MPCT-k0+
z2(u>kRSdJH%LdROe-?IFW;@6bnz#?}BMb#rGU_&J_|4NI!><@2FgJ^3Y;mw!6nk;4
z+k5!nqyws^lQ9Vukqqj;2a2y$EwB4tQBmn>l)k&HU&K0$QU^CZJF@FJ^FXqAi;XuN
zjao?7nUA4tOAH%A8?PP89`~ofT!;O>)Xy7CJu&zJGjn-%fb|=<g~vBI?T#GDBrMIO
zyOyI83|YZdlJfoh;HNW)8d2~@rqdUS6^XJe2`qq?WSQ%i;2s%bAc9-jqgCEWhUBXO
zj+<XReJ5)ta8FhcHMNyV&<SK^!+c@p(Yg<_WJuREBC85jf6zHmC284(k{+9|pMfrw
zY`EL+#%0=-U^b89D~(;*ARXBVeYH#nBaFZk!LgO3gra!U#-w8M-NX8c<Dz(2nfc0u
zSoyThfy`iUlhN4Z;RKG+G_Xh_64sSat*3_KEuX*^Ni@k=<;Ryw7Y>dXIr-bql#Hq`
z8B;P^+M%lTuma2c=!qkzjj?-205LQRMrXq*y~)3crBSsUM!gp|&IFbmD3F;+em*m{
zmz2<U+y>vA>Ke4g)HxvUPMVKR$Zj6>f@O8Gne(qPCIzB&Ejx>gmZom{ny+*nGl9nr
zMZaoiZy=VDwwMYRt<9-d?67m&sl?IueSyX5IcDIhh69jQw=5mM`Dh+&UFaWW8_Jfk
zK@(wUE~3HL^GtRg4^0Moz(`sW%;A!i<p}H6vS6E)Qr6<(;8(fuo$@ZMPXTFaL3Ti`
z6Hnm&Bl$0${;(=3LZ|hy2YX=LOvz**jrNiHyj@p-M-gVY0ei@Z6nMS=;*CV@Sx0Jm
zzBSNA%i4J#sUTT<+L(A?JxN1lYzFsRQE9-JBcKQU{*w}%^xvJ&BB@+YA9Y_DoELSS
zxl?O4`GkM)IQvom$cKwmVnmL0n!5KxJF;|lQ_@Bi9$YWI3bGAwbvwIthObqfOym|j
zM6iA`Kcb;>9c@@v*f7G)w@+i^BbB~R)#^+Q8Au2?=p}kdd687HT)l0<Mxj5Yx9I(*
z9bekQ$a1gy1Z>x=WKDX8ux7oE?6%htB}lv9?=e1RYGnQ(EB>K<dMPL#r}xp3ZmnYi
z=`>U2q^KdkYl~|IHvg5VgXU6<yo=HmO*|2|i9D21GNqI5vx5&Vxgi<TIiE&V#caO)
zO0U9K;dF)YvhOlDHvA7z)J%i@m3@0kb2>8X2W}cz(ZT2@;J)-g>u3I4^iEG3KJkEJ
zf{se0ex5Zwx5M<No8zs)+arGLXrCi0thpXE<tgbqI9bN-68trHKZHzZ)suks3BX)!
zjDx<e{=?Di0aY;jmB<y8&?o_&4>U$|kaB#y$fNH@)z2<`Aq}JAy`I+5TRN%EHdvEL
zoouJPTYp<bqw#Ye<<=iW;#-C*%Y50g7-m8u)Kru2!N^!0*s-y&4vm9)P|6<Idk!~1
z-Gm#kKDZ8O#?T2gb`U)%v$mL!dc3|kb&m&ziKT~HCdvlt$E7%z4efQEV!38Z#04+4
zX9=I+iO&NX)lm*JsfhmMBS?6PaKdKZ?uFfA!@9#7Vcg6BDtc2tMf#<PJ;l#66;WPp
zaUw_HyK%{}qGveY(}R_|E*9S}GlJ%>@!rC&Ggdzp)~N!QrNL1}HAQk?hKiJd0s#j}
zH6}(HXXv84G2K3W?-6v9T@yFMlkHcw3kn{nUvcD1WRMD_Z}&yl6a-3?u24)$8$gq{
zSna`~PC$w8^pGpX;QNf%8)-nx&K7IhJXmPiW#Ne3@C|sOo35Nyh#dH3;V_fGM`Qc)
z`s$wisQC?5lLz{*n^kCo_eY6XF#&FUa!9yiQ<d*>M@rohi*K!O&y{OOo2wpb^f7fF
z%u|`($3w{A*JmOQ_h_6P-@H1@8#x;I2zCz(I;d)FCyU1e=zAR{M@|hh_N<R)fC0?1
zqi|!T5B)<~+OsT97Lw=))76^mtvQl)-OdK&yvlt|d`DNZHY^+TakIcOhznP$s6B1c
z@ma9ihj~+0BH~6>*SFMiSwA1G1fH&->t;?I&l-_y8xRQ(<LVv+`Jxw4An*Wa^3SI6
zEb$G^1~U}n75BC*wQHVU5`VDIjWicv2|V7OPT(%HE=V-&Vo|%zJN@wul7msn!y7g2
zGt-7V+g&jBJbQt>fdn{eCgpzaYa<C>V?YV1vbp=6zAWpfYgZ)Q&t?KoDkpclUpEXh
z;(}g7#Hc;F`AXVnS!))Nozx%G%{uhWoECJuc6vdbW-d!KHP;AzHQvn+o@q3cj7{q&
zgj4CJDKPrJ81?sBdIbD)Lq%cg32Fpp=IU=3Q$e+_P3VyE1a<N}!H+aJo=ekZr7vdS
zAppUC_<AHR3t4vo0%<HXxf)Mmf2KJ}f|AohNGfDOfLMwMR~P1luh3dUj`W(^Ql;$g
zY&pMxb5+KsmI^xMb0kQ;2QR(RKJ3z*@|biu88jU`=A%D472Lqr6J%-F`9Pz0f@Xau
zPoN%WuIz*m+|P34bue~gI<<Xi<26}{S~2s@G+v`rlwjj-Vh<&+TEcfLRpxZ*+k5f7
zkjX5C4uccr0ob5}uM|P4CSi12`237Sl1|2m%j8X2azm-$_Nmr7HVW12FA*7p+y!`$
z%|w{Q{!^D49T_wlc-(>bVV5G6_lb9mHQD6S5irBWy9Sid94R1@^tnCmdSR2a5l=2Z
z7o2LpQVLhJ1c$(Zha<>qjLeDBu^x0Q*Jd9t@-*=J0qo!IfT6ZIOC`fb_xhOtRVv`d
z?xVWaYk9Iau+q*=j$Nl<ZiqS#Yh-#RIw5^<+*?@UE(tldz@bzQ2+}J=)YJYIP5mdP
zT0HrP-NirmK4;@jufP#&#x80O14R5M=A6V$ij&AXPtO!1pXX=h9xT`AA~*2-;GTFU
zZy7TTJn(eaNE09)Jl`u^ztuWe9y?y7$k_-ykK;&LrTYwD0iS6=jdvAfdOQmp7%E;y
z`3Trb7e@pcwqPK~FVV-t8mn2}^J_g&548X`m!0$O75ZM;Jx4m+;3%h5ltchFJmsmm
zjQ4NR%UNbZphi>t)O!(h9YHY%#I?m|N)MrdY&5h!Bu&M>7GV|zTX>&>k*ciIHEJ#1
z3FsdzHeY%e_B5gzHDQ@zI67IlLL=accg)z0uAPY&z1-o=vY@CIz=M1QZ=~Yf#~^#E
zxb?-cC!Q=@Sjv%lQE!PcPPRH`+8nR4{Aw`jT~(lF-kIxhkGJLP|4KOi^${q_0Hqi1
z-a}JqI1@Kwl+s^HW6GV0v?^>K>W?x%DK>@XJ0s2c`Og?s;kV>>`^9~!$Ds>J{!0<q
zuHF>`;(qpT7*6>m1UgGOdo{~<EeU-NZkE~ZEa@%3oqlq}jQkYI@<Z-uM*zqx8-|!g
z4sO>~vECQ$dr|z`oV0lopRi4N2*Hw5!A|U3K1JNrucE&L7Ht}&4ncoJI|-jSSGm%>
zJ_8tnD(lddN44lJLu8FI%XEVju*0D6HLKo~sPyR!<kTHEFHqtc=-T6rEI#kKOwF@_
zq=sGjH6*K_+I+meMjugXq}Ep+ITmYyVlz?RB6!VO0A2{otrIqKe(E_p$c&8S!9eBh
zckaf%9y_lgJB;+gg(7d@WT#I0)I8lwR7o@BYffR}>ThKu%w`(>Sip(8e{q@qx1y&i
z0oc6Yox<uYWz{c)Ps;{5zme8kXS=CZ9U(aC&h~c5xHaA)ssews`$HkaC&O?@RDd6x
z14;dwxdSJ6tcY_OLr!c$#@+qqh}2iHnW*<XH>*6Xp1!^GJHUK00f6uw#+IIM`Np41
zOcC+x4sbfNF+2$DegLj(s$WH+mvoFb8eKMTAPp(yr~Qv~nl`W-*)>RaR{5oB$CbtL
z4(ga#-QVWh<^X^W)#|CC(!E32KHbw6!E;vMAc^4M5|Ta1L%$5AKp6#`#G}uSd*YFD
zl(M5IN1S~dul?HRfo=}b-~(uWa;d4y@2XWMIe2)UE|8xx_<-c+_btVJhv8FNg8lv;
z=;Vo$j=>M+ij8;Zv%{7>WY!VuTH~$6a9p~DzdJjNvD;xZGQj(uOYDu`)~c=nWdueB
zZ$|v1e!w`~rFmMQ?B`c_w0R!t0ofnOM21qzP5W=?RP7CHcSpOb%YOiyC`TOm!U7ju
ze_b`PzZv}T9;2ER_O3}Ni5Fowd8ai~pal*hBvasfP$5~HJ>!G3P~Of(0@o?`HGgpu
zSo5<U9WuOQ?!h>9S@bXBt^b-!%mYBsnb%1Ag1fU&&^ig7vMP(@cK9wFB^xq-W{nvL
z-KgCaXxhb|n9dLfog+r4-%ot@Y4lEo#olz~qyzk!Ib4<h(*v&8kNJBZ=ku%c-%83`
zhNeB}NRV5Sdg2I0R^BT6k)B-X5ly2MeWXqWx{o@-V!2j)gH>+ZYq4_?5;pI02%~*H
z4}gyLsaT@=U5df6i9|BFgj__-_=S3wH>)?NYZ?g>O%$$nur3U9P*V~7;#Ivt0vPrU
zCjtUp0Z{$p*mQncscJip7acUJ{PJ$6G1~oTZ+Qu27p0qF0~_n~4`+&!#K*j&f{1_l
z^1Dh%6Ww%4Zc~6z;H84OCDTl;CmGq;kX%1Q3=aN?*GjamX-U^}_`#HJn&K-n(Oc%x
z9Rgd2&+oId5&q&;ItAjS5teje)&M03D;SDJlwhV;EiU_hycp<=CM~9jn{%3$Zb3xT
znDa^GCQp8h{*72sL5gO`^X#P;NpwZ)K70lR#G5&14bd)N3xIZ@vi#3(Myz~~Qf`$h
ztsuV@O+5C^@eB8_!~tY<9;11A-*3#wCv*Q9_bh$6xbn8-RXJ({UMn0y_`Iv(*cK+>
zP{QibbHAg;&3-<L5=%N6$zKdRelCLH*Vz*HUC%wQApYV(NPgLc$>OJC&SQ_5alL!n
zg*<gHqd?RY7hO#B8L#ovsNd|ch3Lc^gA^5h^_s=vr_tYP;x6dvWrEnZHlJ0cI#7bT
z?^V;cqsipF4)(bW(%-h7>7HJrKu<*VdNCM{h17o@)C|4+E3E*;+ZO}X8(UceGs#}M
zLsA{x_VnW*>8O9?HZ8SG<oN^H+QWOi^v3Nqji%hRaHr?qowmQ2z&~cylafF>8k1#L
zByJcCD&Bx$gRT_`tWNuVoce}blQ3+u{M;0u<RV+ya9&vmHy3Y4&9zL^<k3i!N&W=!
zwU|EHR5maO&e}83_3_s4E>RdAl+j+eX8Zh$T}V*j_C!xA-G=IMnQpRS{Q!@~goHt=
ze9gRTwl}@v5_$ZseE>zgb-dM*xw=dAGApZNHxfR3=DkK$8`(L2a(v%WJ_0WHM&g&t
z1vsgz1X|=YQo5pY*N_pU8ZvOXkD-T7Bwg6l(KO~z&L-x9ChK+^Ci99dQd}tigJ#yk
zo4$7$Y2h^?4biq<0_$_+z{7V&-zq)W_cyY){oLX7h%>8idCQYWNP2#YwaJwxX^1!=
zvv2GP*Ia|?r791Q1J`eKv2=p?KBtj`j_QITE$DE0Xa70o(xBRsv#Ct1af0=>jabyo
zv}Q1-lIPnU7{X!c4*fx&aw6uCxFb4%t~l$CboL#av0>s(|BEf;z62$3<gxgQ6^#c|
z>*H9=nr`Ho7`+E*Wkp_=^30wzaDScp(y-pKaO1W}E+5UH%$VMB8na#gudP5-^Jgx$
zM6VGe8FIf{G~Fq^)iUW_eLB`#lE`5O)g{qPf$J>?JqFYSG1c6ZtoCZ}Zd?t5h{yZE
zpIbm1Li})|Z(clq^Wk2w8Nv9l(+d^uPR%XyulC_Qud2B?m$ih10m@Dto!K5Fql>%!
zH8`tuZ1Yd1=_sYrs@$tYHT7cG8uR5V5`QP!I$pFrBXGRmWoi*zadbJo@b>(O-f_p$
zb3c)cJ1^h6e8VX5F5b=2?3`?SzR$2rMJn#WPOV^8N|r`xq=22e{)RhZmPAo1JoPHI
zqRS$Gnf1(~E2JJqy6>dLDPd0rYa4`N9c@}h68Y+f!C|Owsf!U^+k)aTH<IV04H*-O
ziPRz+8=;#ezq2u=9{70$k3F(3dqpDnv0a=lI`F}j?a5HSAL7^9H+R|K?oV%*DO|1z
z(S{gy_<v$2HF(Ohes4LqNvXzWUc|70#nC`W8g05y$ZK8Bn_zTTTCUC+OGZ?yL@!@*
z1+X)+t{D2TkbvVJVMsIBx`a);zFjn_Wz|9!W`3UkiWwiBoJ*`pMcS`N@C!R&;&p~P
zzH9102(CpY!h|J;ZlkzKcCXfd#XT#k){e_%$Pjqf-o>Ip(sC^FV%np*t4NKlveQA%
zjW(tHIbDR%djpXN<JUZE2doB{u!sD9=9s7bd8vU0g7c5yY|~QX;WS5NkGkbcE83`I
zitGg57W}`Blueas6Vc@7Rw=p6yWEEFw5w22Z4z#@QEK3eneB3dR+1^_ZE0>POww+}
zUDBe;N}uVL(;)3wQYGz}lYe8?Deu7m&R<hCl?W7@bVu$Vh8`?Q`W2PL%~esL?p-i!
zJL}tZdSB;BRgzh~Se@(|PSZFTH?J6`b;a=rg`O(9dF3~TRCf+=VkKK-d2>ZK2nqOG
z21Ft2ZSooU<_Nc^!cAncH;Get(N=1lR`gr>X@Xe|BGH5658Lfn+l!;K-&=WrJ}HE2
zyA`V{yU+)`DLSul>k;OZoRl_{xYFKgsg5eXlVxAOs*N^oN=(63O!5iWR{NlOUYWG4
z=PIWWWHPi$!`Ne9q~GQEqmo8xs^K@xU2fz0rN)Y!U(aq-b1!~<EEzGz+mll}t5uoa
zlSF-{$hG5-oO|5jLhE~DKZWp1%0cr7YH@D{+H$?)mKv?EWtzz1S@r(*T9~M|!pljo
zRjTDnm%BM03zp6rQg_fcDJ;*c@S;y{(8CJfd-czIu1W8wOAe5A_&FYVx5A*zosx5t
z&-8<5{JbQ?H^dSyX_$G~)0AlQRw|IOatO1Gmrd(ghg7}&oyhAv_$6(8H?xJGohn~t
zKk);DSzM;bl`U4IGy<zsfy7H@D(x7$n7W%umWzr6m%m=oa7h<m;yx}o3=BKjKJR6J
z$V(V}j%JQ63yXd4v%~)3qPo^iA+h3W7Qg`IFvSgJqLi`y>06Qxx4n)y6hu%K43U-0
zK|Ig4`Px;pmRlGCO@$T@EiO^oJ9bd&eM4gsjN1{bAS3g8E~ymrkGW%SJh}d*@S)6P
zz(eb2oWC>YG5BTwhhI4XeQaVkbDV!m91vNHTJ}1Z+s|E`qmV(YXDVY7lQ5^!FDNhi
zTxn5vHDPIU5I!=Sbcf;fHX9*bQ0{d|gkHa+odwT2WA;7iY^7?E$iaCL!i9!Z#`W9M
za^XAOmn|M;M84lT<h=u>Y@I2)+}P`5+xqla2xP2QzKh7|vm|>VT6uG9p^9}P`kYR^
zVvd)M1(Q=&ZJdETv<u9*we=LjZ|7il>vvJjh^hknwr!)&wWH6RCS|s=vmL>myeu|R
zG9BxJHNj_@%PX(#`UL`VtgpEq(0q@}-5*MN?zTkeRcBU5%cb>x0e5f*>@lXab&@Rg
zQY}a3R$SPM*t+kulA{OJlFh4Dk&d}(TGUi5VNqXAE+nGlz$gsueQ}FumYj!b;v|pb
zT1t`a^qmZ)v`HSlJaluigtCIr3+JZ&RoTwYf;Ha8xahU3VeDF8E55R+54~*@9ne$z
zRX_zqStgf(Sg)Q`_-#aeElKsW&(P2OY8}}V&&&w?N^V5UhU?RY1v(gB>gp=<a+g|I
zB!DmWdF2a-i!WHx$zAY@l@B9*P>&gplDp-O!0r`j{=BG}p5A;?-bKxXX+d?f#e5Qp
z@lSavR3BD0rc5mzG_~}4YoxL@<x51>dkT5=>6nXNh3Qn6_P3iW$+sfex5Ucklc0m9
zc}`R%#{D@JmDea8XQBq^UUN|eu3P@N^Xuu*y^J?LF@1Tri!BM41wGQAcVee9I*Q`n
zJ5P4TP*skE4N>h%x4OizyO@`TahP9KRaG0}McuAlY)O2~g!yr6er@^T8^7B(EtFqE
zpS<G=xO~blUpyT%+t2oym&I2_K{Qi&uEFzV0RzgRHqy+6vHliaoZVQPPS>Z;)I;ks
zsKPyt5xwZ0DVchZ@F9`%)@gpgF{+I$!KT66@P?m+&2QD{i87!@pX)5HZ9U^~&i%SB
zZ!E|%Da~_UUKaVvS<ylzV&BS_hNtWMz8>Za?Gw>geDm<yf+4U>eA7eA<z3c?7ml-+
z=#Li;$-Qj!8Kg<u99(s_+kX-PUH5~7>Kv|uu~WLjq~>kBstJTT>fdfLEdkUA-)}Qb
zpWF<IXZGTS5Ctl8$@XmS_e8EZ*E<oPZIU^eOT2D@1RNWE9Tk}lak;!JR^>}C@#434
zkc3|d4;y8!O&Y4r-b)){XEy5>^U!}q$zt^Z7Tv|oTR_GoYrxnV$?-hHY6zTN5V!s1
ziZyqLmnC~#qY2XmC#raFN+ItUn@ir*@pROalL@11LT(l%EqykzQ&Trz=)l>*w}QW9
z>vi@kCH$yj@3xP-5&X=rP&ZzYi)_QPj3Jw)gHf5V`_1|N(@=1!o&T-YvEd|SqOH*H
zEYK?;i7@KXQ8uRyW+a|k6-v--M;f!%G>+u<3(12MJ7UMIsNa8_O5uN3;!8TV{GDM<
zEw}kbtQ+l_^3AvNaXf__t5c<vQ2G*fG52=9k15${3fEKeWB2**w17seV>(ilc|ooz
z^GsOLzUo>l2--n)_H!Viuz_53pj_e|yRUH{X6bJ}(P_PMX^=4nnJ68Di!ZCHd*u3S
z-KGjIc@?BMU-GIk;Ra#VgV|w=QN|R9FU0ea!Fk%MLOOyAbq+4|kknTFyU!I@FQT&s
z7BWvSg@iMyKf2W@W!S0(+V*=6E{{ELqw1x3Hp?<~C8LufrkSBGqSaY=XW^uq!r&aY
za83=Ak^@`BK>ke+o{;^LkTzl##^!bu_YeEY;O^z4p!*#TS(y^QbN>7MfKfl?|G1IL
zUaAP{f6in<AWiFw90gpGziim31@ZM_#`{aK>k_f9+Ip%hF}zF5&Z1;~FLOVp?=EEZ
z5>N1hMQGsWt&jv86XNM^wmTztKRzFiRE)W>6;Y=(nD@;<FO>Py0}CtR1zX4hznCHK
zhhnzutlKp?w7i$+Op9T{S_8pKnO!V0i6g(x92G!MDF~w51y-KfaI$aZlT;VaZ@}pM
zO!PX*wIEr~<H65cRMVSrGW=WUW~S+PZBom)SxyfAEKJ%328|(=$nBb;tM$#Q=3AHN
z72Z=%&JWnwVdwNWFC!SubL#Fwls+_(<-EO?Cmay;^BYu)c~U9Si>YQ8!|uCH)i>=D
zNMA?x6%zEVm}j;S6I4=p`E;GT*_ypF{`<ZD8o94lp-*Uk7gjw5;?R`KRTSKWeRpST
zf7EUT@zF+!H6a{C16K3{VA2Wa-L3@6>9<SnA8$F68j5=hofpzra<P<+)Yhwomf!x7
zN4UCoa8-Ct*}<9U)y6ZblFu#Jy(6url?NH%pVxeROWuKmC439Mg<Q>x{SjTK!Iqg7
zTJo7>+Kart=h^<oSligQ!IhD%@0O@-@iyJxd68KGe3mcJQXCr7yhE$IIO$Gdba}_r
z7}=$SX}p){h0_GF#^tREVdochFP^nP+K6M=AFa`KKC<-tCaFH=M51x)v5BkYdD(D=
z#z{TsCi9WA%Q-2r0ML(Q(OCI6{<-S)N<nKhr*kUZ#&Y3i9&bNyKLN=!1<xjg(!~xK
zs<u>DUY&N%pfLA+z~8ozYlAA7tnSwW-@&<$`yRBcMg2OZF73pdf`u!(1w4d81Ugpk
zE9e)Vj`9n>wyieS*JV`5PkmgO0-ek+7;UC^@O5g1@iDPpdpIXp&_-*Sp|--eqCQtN
z$0Wg3kC?$S0A^Im8_iE)SQCU@WAQ8Zp(h$0%W05_t`T=K$9{jl%qW>7;&wUzCww+u
zj7XX)M3U;B$%6d8ex;V;;5W;9g5W){V^p@YrK4y2+t}Y=JX0iqK43sfd)Eo=f`T5D
z(m#MnCBMHxt#E<4tM0=KV)63%(+T3~+?ReY>=TqQq{N`(Y7voy1%Cw(*YmAIpxVOL
zRdp_BFI#5PQv!?gBVO-{sW)+w?;ZO>`Oigu`il#IH_s|DJyS6NSb&E@?_|x<i_~;o
zN5J!#2xF9Z>Z)%_&r8M04RO}zFv!j!LJGaen@9P636(`Pld=P0>jlG0<Vv8%hlIs#
zi1zu7cnt~e(A9T!hzX9kynQ2OLU<OsEA5luI={eHrzTa&u*31|Y0>sHC#F3m&6!aW
zr&{VJrcWIQYhqb%9oixOvs$Px`F7P9vHCW-ElL9gEJ9ebTbqHx>GpFgP))g0%K|yO
zCz?5L=72V=5)#@x8aY>}2e*ll*yp#^!XBn6v<y8<1T%gGn_O;iElzCwjp&<r6s)fO
zYXk8Y7s6s)R0enUK3}6yK#on^{+4D1Q93)pO-Zh;$0{_|6AN+g?=K9@-K^zy-TLm1
zB3GO%vG06W71pGpq*ZUw-cYXay5y?w1mm|-7oK^2jIwDSYj}_8B6q|~R`k8oUadE)
zV%YuMZX>A>cIJ+0#T&9i59u2U@4mC-@Y@sgN%@##W1yU~zYyYQcl>?z=dX>N$pd1+
z(SYQ|bL)?RxXyt}q^+2wJKT(fJXmb>g1^m2Qmx#*xzh+@37rB>+RV<v6IX_EUQ)-*
zSkA;7Z(O*vJI~yG&cPgk2P{4cjmGlJA`oFQMVW$TU0%^JJ7SGJj+;Ni1sAwTIgq?9
zv0}T?WaqDFp+7ihu*}1_*Mv@eiS27yr{6x^-_ZS8T$ZRsr^S=d+Gf9SVCI?qvUaTV
z!Z*F&3^WZj5P~Y2j1&=nxkXrvTF)u3w%}17seUX3RzedR)HDh8+r*p;a8kK^sO_D>
ztg+yHc5|8)Zd$#1oBYC*^LVHy(Xf{jXXxlhR*e#kc_S+($w*sRP6a(I!GU-)fGNL6
z%OcW8E6>ZI+T-H*YhlgIED$?0U`aw-by@4@s%fR?Ot<T1JC8C>2sd$3eex|?=5Fu#
z<YAf`zaD7?kO8m`4QcS}bV@Av6-oQ!Xtlr!t8#|e>G2=^hcD6v?ylyU)Zds>R)$Lj
zxL7jjSnZ_pBLWmUue4gyzfbR_cL{g{yBtkbsiO>o$wYfq(`-C@rinyQ^vAug4qznQ
zsJsqu^|%jzcT;kZ-Sa$MEIjAUTQjY?bGvah_8x@6x2>2Z-I^H-XM;(%It!(q>_+_-
znUv%JOtY26R|AmZtT;*apxI=%Kgy=_*o?1bgYUS~#ddpzI;%Qj<sOgA3--vcg0TCR
z%zoR%K31+$5=nET;x_R_rFCL)9)sDoG4n&or0whcdS8o~hi*^;_`+?MJR+{z*j*j<
z(p4ng!|N=3y5T!NiOVo&m&-86zM!hJb1iB|n!T2@P7`t8D$j3)nQ=b{+g5g%8+g(O
zTEXfLHaCwmmNW8vKcMdnDE$)lHQA#D^y9E3XHWsuNJE&w=GT^ZW#eOUM(rmUDFo4U
z;k5ZONZoD040Eom?R?ZIHn-gTd>QaGsf_*w+r}`n4?)F2SFDw__v`Fj5qgXr{%WGA
zd@oetES*N_jv=^p6HGm^#~IVWGq(vQ&xRAh7pX|EOy8;55Fw@Y@22nTR-94BPMLzh
z9&I|4{c#I|nVp+{^`{YuffL$U!M-%vmCyQqttTe&RDk67g!0q@#G0Le_Ep2_If;s!
z^ZI^|dOvJUwet!YGY0Y8icpw>PDHWZB2P-?_0HUn{$xOs@?mAm7ISH0J$IjIn56$}
z=TO$A>(?&jFkRyKp&4t@cF%%upF(-#_SzNK+|bmlpKSdBh08BKZo$}CE-e21)TC&-
zfupvWxuD4@Bq82t)^|QG&xB5ib1=lSU&3grmy5n9{kC+v6~&8W^TFnYT`)EMv@Tb3
z*Kd@lG@1DRrml*P_6j?pKwQvO7d76>gUaNKpp$?%az@9CQLH?5M=q=FSN$gSo1452
zuUl{=dD-2J6d#t3)3DM^9ms`3&t{J~Pu0fg0t!WAy2iK^LQ84Yw(W{UFA>>p-8q&w
zu$tb!V9b+n6Vp5<OS|u3&twc$&v`K`#Vs!r?}u@rZ)1Gl%=oT+pQ=9c^lc&?t{j1U
zoiRhSe|M}WiH~Y!us*)EnTvjK<8BT{us-@(7+N~&+hAy1lTBk|5zB83&oef_Io&W&
z$_yp`VnR3;Znk{par4KlFAftlvl4!}2|SIAM59?Uq!Zgm9n!ZMi`4e%X;!la=i7C!
zo&QAW!$+6R@?c@bPgY7tA#r7*XKLQQG3eBd1fH-jnjvH^!r0{{6+9+ap<qKX^p+hv
z=5$YO@<icG+M*=$uFJ>taLk9bOCJiQ<s#?%Id}XGw<Mj+GL&xg_KONR*P+s?G?_M)
zqC2)83Z|}*C<U<>qP>sRJ7HC|(f**PBJSkB3C0{VfqX&VI{yZ+ni|;%ba=7ea)?m_
zqQRGvDkAA59cQ~_n7M5D(l$IhW-beRkB&ju#gSbNCIyA^Qb7-88S?b^nMu2H?xbz_
zNwutq*RTtzTk;8<C-8Xa%^+PISVI?HA{M+gn(1{I%tq*TexVzl2v$n;uBXgW_#XYb
zJJT=x0_OAvp?=_`3w;XrAs<clZBswur8`5>X<H)V<DmKDqy;y2-^{n3IdU3puRqQW
z8D!sN{ru~?Rx>{ys!KAGBG(5!Wh9`DK~}<G7a?9R6U?+@*F+k<4z3v;ZwXc)WKVYs
zSlb)YN6mHILCn!?*wL`<lS)v6Hd{b+2kP{L6TP;$v{!#jKQb5fW2z(nMVg`a%N4qn
z&wXypIQZp*sYsJyZbg;@<}jRW=<$<I4THm=qwfQ<av`Ws*X1FdT??qZ``c3CFJSE~
z;}6DtDwVMrlN#~gP5lP=f~rbeuZHgG8vn)&B;hfZhr$^VHwX)pg1nvljf5p`jm+yG
zRlZks!AYwZ041R_|1-hXMB-&quBj&2)hBaQpF`yB?_Y#{;*WcK{~UANTdzRQ@Lg?b
zi|S0Mka^d)zJMa9rm9P<v2f-r^@Td^@-2Ek4sln6aTUw#Vxg1!doHF#saxbuOESxp
z#tP4^`lH_~d}@A768p-8JA61d8g3-NCp}5mby$N)$omcUY!?csQiTh%J3V`;Epcit
zg7ay*lierfZ|yqr5;`uP@N=iL6_lc)>35`@&(%$)Q;|&cy&>uey3*9i5Mw>c<7|I3
z{%kJvI!_FH@8FB6RtF=QXq9C#tH<G%3@bGu(XG4c=7VyHq@YT<d8QdG2}Y*dz-*a{
z)%s`qCrRc45kJ`v<lh`n!_Qo7iNl9jWTJ=3?C9IgaAESW;a2XqztI>{JW?8N%to#O
z8f7QY39LAXh_F3AJed?#GTm=D73I{^MeBM(jN}8T$)Aw8{m_x_G*tNzb-1=_Ir*5n
zwIMEd)k<g^Wly10d^548n(B6ojEB8ty>x0TYbHa7`n{)aFR}-cuE#X7c!h8?3g48c
zaGO@aIlm;U@6Plm3x^S)jm$hmQ$#~rKb5V_xdwvrd#>kAAKQVzxK^Dp!n4`|vZGq&
z-vJbbvA~#*xHsH<My;z2QtjJ&G=(fHrXce4m{*)3uJs{G?6cV3rM&{ntzZGl9Ex`d
zc#>PGy&PE8DJ2y}UiQvirZ0&V^=JiIQ<C)!r2F(mb%n0Jf4$!Xkqz4<*E&W=kotuR
zq`waUjR%tqj&;}?pF71G5~s1L8oM4W+V!(m#+f<J<!ho=ro^EBx8Hn!o@aDA^U|)K
zD5qh@bZ~ok>y~{g^rH!6`3}|#`H|Ga^Mn`syTtG*3qI?{ytPpTipo^ZO3%P^%9WmM
z)Z_~@C&$dk1+P=I7_M~%?k^FgW~eMg5}|Li)6@#l>4f=tedbCK*^N?TIZdCwYNbv$
z)H*d!rL-b~Y{fke7fBpkAg8ZoyxKPlEmt~5_1?seMr?Q2N>NC3Y4+4FYz%BDzjMIV
z3#1-dLmR?cXMMNEW{8}Wn0p03>o9HH^Zt<j-i0hi{JDj^&()e(Wqfcl`{86u($S>T
z<-A|UEOCb;X7_u=k?L<y8QlkX#4)ch2Nu<A_^>%<Oeur_g|Tme98MU?_&0dr3@E3q
zMeFQ8g}qgzgQ5{Z>s~)xNcD?q`AIt{CGTZ&Mp4v;TJzCVi9QOkG6V7LIGTM`yb?RP
zr_D6D^st*=#p`5U(5S#<3V<GT`Jv1sra#IUjO?bMQA&CuM(p3}FYsEV85(r>&7a?T
zBH6-NvRFnKQ@&s@8ady7E9U!ED_ZMBjC{=Tl4s2qsM$8R<4oLar~lT|TVm}}luqxL
zUvJZUuH71a{>wb`3qH8jL01fQE6x^QpUwGbcLxR)nzcqFV@PFUc)sgpm`ZF{G@2fl
z2-n94_N+9WbhCsV3%XekQRZnY@swUJ_su9a*<HVgfEJayQ-AJQq1B69i50XUQhlU&
zO8r4pBBe`XRVV;Eap~IC2iugBH2Xyfq^KMqH?$Tmk3M1cowXYWQcmy?HC@pS$JVJ9
zF4B&1+7ht@vnZnX3;RDdcnuD&7MKq%l7z2Goqky07h3u5#sE=>+$lb=TQh|?mcxGM
zO-S(`|AGOC{5D822&8&5pGqZ@Aw5m&xJXW4L`*c4auC;?GB~%VodWyxiQ-7IlFh`!
zRD#x>W6D(Ps*H8bQNA3t8^~mGP;uT}i*-<K(K-IkcHMbb29}3&1s!6=-(CDPZjnuj
z7SB%~^2*Q<EK`ab?`yvW5S5%vXl_QDYbVocJ!|->akeL&@o|vo)hj`?PVc_?MyzPx
zX<QK;=BpgCtPeKZR!5xvE*5)5Javm5Rzo*XWaF^C&~atKs_%-E>%xL?89d&9wT3vV
zx&CO3I)<bzqn%#Z<+(Fmq%x0I=HM)EF3;&<gZ3Z}le{cLXG1x-%s|lMeUna6?Ajfv
zQa03JV4?V()=-Cj?n*24!oAK%25AEe^A;4hOd$c%uR4L$<|I|G1A^vX$XS*Oh!myM
zcwxl2&2i6Nnk7{@!rEWZjSMKR$hp4_L~_@L<6tih>u6QxHb1|g1hym13CP-z<o99P
zcIW6qzyYD&olOzvGCQVq!)b5Nkti{n`ZbzY;ldMc{Tc}iwq$qKiE6)K6>U|nw|^1<
z3T@di+m4Sjq?XQ92Tvj@jgG{3;Wn{2*ub5fZ!75CtH|d`#8Kx+K<DM{Z9cX_d{9O_
zk^6yx+j2}B%y&L$wts8?T0Y3mS*thY=<Gueb#Sm&?VzuX)6eXVVeD%kcNK<k+9q7k
zRB`bl+KtJ!nybr7V+v@=m~VP_e@ZT+b7+q4(AsssJXYK5qkKrgGui|brhEjdlJQ6a
zSI$FaMX?<KT4fL#jN|Y;rP?u6)_lvLU^)fevA?jRqn;}@MTYSWj6Js?cxRIJwn^W4
zH$fs~@s(u{kR2<l>uF76%rEhu=I>Ox<?Jreq~E){iG6&1GrjqfUMSAT#E||N8_Uhl
zzko$J9Qd&S<PWYNhK97diWs0>LkL8a`^IR_hlq{>$8M@y+chO6m_zvvGisRbC314|
zL3wv~_ogzauPi?Ml22FQo$V_2ppRd`ArY#iB}{ceMzt}<@Wm}HIGZPSmjA+nbTMO=
zy7b_D5Il0g?P^zBHl2}S%}7_H>Q;Q&eM53zAYY`)WkU`gq`_{gt65!DPVAswzHIz<
z(2Ubi0TRA=!;M2y%LHxWr}V8%fW9hx?1F|AMS6V_`PMzNt+A>hE!iH181rsiR-QSc
zjcI|}LgO@}1LLFhKGlGM(d3d6PyK_0&h}-KFc&&OuisV8`|g{l#k6x%L7~uvt+}@S
zHI2X+7)-S5f&CEGlP6CQrKaZrA}@>y4vkDGM|e?EQUWW<*bSSOmDPzt34Sgt92y@7
z7{t5?p|U$s3pAAu$S4wUr(H=yMAftpnYOleYFe60nDxdPK(f;T^cXHjb)vDAB|!PM
zxrkOodh|WlX?X#wLP#qH)8s`w_xPf?8(qplNyxpkUJJUDwgs=#ZoPXN=OD7BWH`4k
zN2;vF3nPZ5AWSidDbH@yaL2>?5lCcHwQM+KWjfjPcx=pSJ4MIp+vBV4m<pcl^Yqn|
zoerBAGF4}zZ;_d_FY?SAJ9T$QzBcPPB+?0Xj(xj5SC#c-kKK*N_;yV*WzHi%HJJla
zG1g-e!c8I|-3{ZQ@qO)1yeZ#}h_NkTtqw<L3}y=N_U%3Sb)68+7JQ3~rq1jONqr;*
zb894PK$NpoTtSvkFSYN$f$#bcK7(2}5+02#H;^H1u$rR0&rjak+S+eFeuT~J$Im!}
zOkJ<DO1}VgL0P*F_ck(n<~jSd?1h%hyAtMF!^sl1jyIhG8JA@xtYOS!hjw;$t_gPL
znt(B=_9x`7xp*vZ|4b(~KAujUZz}nr65ZPAjU++qsSV-^Yy(7jdw;5#*RV^F7booi
zTedYTNeewM7=&{+f77vfyidgVYX7BoM^m27@x2+Qdkjk3Ok`7;xszT*v6Gu$;%9Rr
zc%Q8*07)@76PRq@{gi-%x3W3?<Gd^DOSS9OyKJO#Jc)JA#5JxQ-R{hH`Cgk^T*!3}
zF<lhO4r=liC)}vws5Yg%yrRKkzP<fZ_cy}_`eXPMUequZ8`KcSrXngG7%5m}qtwzR
zv>x+I51P`3mKZgx6W1~`GczzSIER_UW+2L~q2&!7_c9=X)6~Ig`wd>(?>YGOABR`8
zwA{94?Gv7E^sifxDE{)rEy1p<Qr>~pRY>0;9It|#v?7@!CtC&lEClS=_fv(9#3GA4
zrz`9lE;6WTeTd(u6OZ9xfS5*1cL>eE!DW-$Pr4&N%dikpqdrEz6S}5AtF*ANpr@++
zE+Dyh-rCnXGh=>8l>mCPQ}-M^(&F0+UG>q(f@U{`-cQA@y(g#1MZ6MDA^#s;UmX`^
z6m2UdDLK;Jozf+((jo%V45j4INOue&BHbV$DqTZ2hzunHL&G3F!~inj5O2J{d*8k9
zJ>Oq2XXdZ{o$s8r_Fj8!5wr1ZLh5yf&S<Z<ltZ8tdBwQX(Vp<Il_(z?<z#UUhcF-y
zI=+|6p<bTFy1@hWtA@pl?B9%OeTMMs(=-^-&m2*6b8|40yr0aGjeLlJs*~&>HHU3~
zdP4skH#c`a!j9^_5JnG??SHgzd(l~0Ig;brB|vH38J*CV>E=2%ZtFV!M`}Y>&8b*6
z&8<M)4nMj3D+TsN*O_sX4AT|<tNm$ZnZyOx6ctjI5k(lvPdHrzb;+n{_HBZ0)9uqB
zafS88XbY=oUfE?_!NW_vAZ$w`S%pcsU(arV3Yj-pnfBSn4U*&)`)0srzF3b|E+nj-
zR@H|?#AgG_XMDC+%H?-2Wz2jwdMad1!*g<mm()sgdr;sT^Bo>hy4FU5t7byYE>sI+
zIJ9r<NPYI(fnn3#Pnpo#a_O*YjkwGdEP)z`Y7TIhtDIGPjM~_5d+B2P(Ry}rt+`ik
z=YOh6Pp)w1FpgT(nP7Exz16x@jjtAl^QTce+uKtsD-XQsTU%P>;MIiRsr7AD>j^tw
zx=!Hoxb)dfEv%g;x`k1Nt~jO&RoLxJ6ii6@3A)S`C5%xk+J@xL1XSh9Pn7Rl-z4@{
zQq-X*Zmi5xf~FK-ic|NsRJ=+`*0&9o+JeMkP};3(@skZXN}|%n7WxMnPcNwl7xfwL
zoP@k_SMY{llS+(EV!=LC_~c|)wlT<CcN<b_RtcHBk+uzz?FQ)MNdPFJ6gm8zeDS@C
z>#y@sF+rdGiCuz=!LOc<cuYf*C-qa7pB&_gZY+JMt$i2=d4HLn90{HRYq9p|06d!O
z);&14?bIU?hy>2{WNz4qYGskHor`@zP|w10NT;TrZe{&50!Xda(anyMHP^trsEI6A
z$1$SNyV5vRj{cUPy?DOU*r$GO-Qe(cMiFvf1i>#;KGd@#6xvA?Tf<gEfqmq%=0%V9
zH^{5_+xyL5ZPA)i+0;U|vV&5}{zv&7M6Io@1Kcj$m#?hq6UH)G5Z(7+%XU0Ef>La4
zrh;-y=0)486Q`4_Zb3^PNTq4#pJwjt4Zk~Hj5DPs*pCIy2+m%8TFcPywfczY_CA&l
zaz%BoL}|}{4HLmzqSaUwN;Z}WlT6$grOWm&THB~&Tqhx3z}qxLxVfm~4cRl0(RjO;
ziKCBbJX%@_hl4&xX1k}bZisMfqu@VH?_);l={cNUdbcOtUH<?qW*c8)CiPw_ftP(>
zdPWCV6L>Oa2D-Y1a$d{bg@q<;@z<`!*etnUI$hfSOz2Sybbr6}!QceXa9=TE`JVFf
z{%v^M5LfiY^}UD(=xy+(q+4`rB!$d!W|%-9PMgTy%Q=q{S+W{s@2r~kD|pc4m5t5D
zs`v4bvA-()$!B((S~als!SZ}xdGMjRarh$`7teb4{l$oLdW`1GH(UePy%UAlsgW02
z)FIQr6g42IqOPNbkk){1PW%^@>~)WOyD&qWgN}u6Ee(p*ZTK*Kb&3|_9(<|3z_prE
z&&^ZgyXEex>YOJ*SEmktT}Soq*WcLGv-?O&N~S<u>}qAfhwP@%Xa-4Jbo-dAyJ|yF
z#8<MV5i7yv5ZAmRGz@8pTrdOS_rU61#VZ?Rv)vS=+JKO#xaTJ9Cjz*L?pE|#u7iij
zR>+82ec1ORzsa*~^gNeXTRnx*9*N$03QXUXm0mL&)f4uXbfo5d^Q4Xc(a`m$B;2-K
zVIVcc8-10L-WG$`A|h#<5&;t5WACQsXH}n-rW7va={r`WZqk1ET}Ih*_+0(|U0URC
zbQDxg|4+T*M&Io-GAZ>4g^@J=5ASv^^j_RgJ?wk~qoMM@QE~sECbkga)p?I>vZ^y?
zOki=nfGOg5A9Sf{c5-yy!ApYijI@ZbLo0ot(~3}KE>F}1<hIC#WO+lSTV$9Dd%QzP
z;PlQ%E(JF+u?|BbTV1X9J@){a;o&zEHnkCDWn~kS>s&I??SP0pO4Dn4*xFjy%wdx%
z?$INxAZ3Tz5D5v1qRX-G@*#}Bd9aH#dqa+G&q_+zZf;Sp-!-{DC4eb9^`IAmNYQOy
zP|VtqW(BL!;VT}FI?ZigJXY;z<l6(r69<L4aNfAD#m3$rp>Tyq%7%?^xrk9xi`g#0
zh{MNwo}f$7A!)!iG%Vn7Jd$u;s&(fLd)-f5gjFkg+|BQ9fq3ruS{UBy8q(mNx%vLO
z?MH0~@rW`ZwG(dzl~Blxq(a146i`N4G?7MG4nM3d94C*C&uCocK6-Aw^`g|aW1weC
zmWnI?<-_x0F(@zL#SZFBjjOu_myZ=ysU6_Qn#wj|bVV8Z9qy<6`@@NIGEJ8;Gvb+e
zJ3B(_!OGMuh5<)<Pj`pOO6|zc-@;i3oar0RUsOkpj9t<bb#@0x23MOirODJ4p4|rh
z<pZE|`cny(5>fGZb}&5f86Mz^xuJ8pbJ3>=>CEUX?^Kb&Gsm?~Jz}l)EpMyW4DF~w
z^sBB*C5zX<*?>7=EL3-6+e*6j&0?$H(|xFW7ABk*67xs0c@~@fhZkjs8tY(kPwN9$
z_u8<dGm#%z7ZedoY;~7T)#$}m#$!cyr=&$cH%ia7AlO11s!+&?Dq@Sh?vmM}2Dk{C
z`}zcNdupe*)D?uXTWWEe5c#Q<$~=_k(Vd_cM=G0N6aXjWdEOto(4wC}J)#B^QE7qZ
zYCJJrt&>Fe*;4@KT!ZG#>?aQ)7t0rtVv8#yb1PNbg?WU_<KyFh91is&jFpSDdyhgo
zcE(j)tE;L;+eQvUt@j<>?WlqT-t5;0dGq|ZDy70n6UjUo-Wv<JIH9xG^WRt*i=zFW
zF=en8o^tW##Rx|V)xu5pRq3WrDAziztNRS;=MILzMHT+x8*jjCwHew8z~cc?t1dZk
zVHHUY^er+BnrWyDx<U(41ov<xR1132oEVz&NRZy7do<<W7I2J{HCkx<b`%(4t)8lU
zn3?%j5Jr|$rd(NeDSJ6G$??wNQH*rB*WK&&YY~d&b5>PUFjL=yq*8*B?Q~v9Pupjj
z&atzQ+J;)c;{~27zhkqH??O&mFOvuO<(VG%XHa;q0buyhnVA{ALo9IFtCaa}<Je~d
zmh9MIYn(%r_Lq{9`ChKbYIkLo-Xp~?2X>?r>g*fWk`*_4za7GA{|u^}tK+(>_8wu{
zK;>m*b~{JhU0r=v;|_L?b;DmHnK*1vg<Z#z`1P-!U91i?F|7polhn)oA;G?oFVxLs
zw)s7sdDd<2&0ZhEv6Ke^(}>6oZML|t?8_vK>$<va4kznf52kTwP0h~6Xt9L+r0^D!
zV$XOc8?(J^{T5MbN?o6)h@h@)+-m9i{d&TFX>tXF-7kO#S*n~ZK-0$V!=W*5NeWY8
zY`?n>RDK8x42TK>$_|s4jLs$gG!~MB%>+sH>2J&e7CClmZQf15mBY}uc4_3HH+=;u
zpE{h+<WHx>)7%<bl=cSv7vJ-qT)yV-Q4#+G(x>A{m&K(O6YHP+V8!I99w(AK8cCBZ
z7;Q2}wUA8`Ji+7pl3Ze)ao~zlm%ZtRB0zvaHjFaH#mNxzHWBZ50>@jz$IRRO&QR0l
z1gExy`7%##-NiYs6~ys-WA@I=gJojj#tD_T5`;NTmT{No<vQ*V_2}TXk&?}o0?cPc
zblZVaxBS!HuUUEF=+NQqw=3rEf8+{Ryf4~!y7A{HtyieVG<rkUT+W7$)iMt*<x&VB
z%3)dQgZm~AsHeqC=59VBuXc*GLPEMY0If|;G7}Q0yw1|n{)GulDrv-`fBU;+OsKs*
zuA7^iUTr3y>!dD03nS3Gwrw2qz0;dF-xI2xJv{uaWCXv=HV_?Bp)ibI7Q3lqvY=38
zr;^bBEn?r}H|1Y=W-!Ry5sCCFr08*5$QPNgb)gaq4nb91by~|gk`?XuYai#U`#y?C
zOEs4^SJ;I@ud#Z*Riew|5GlQIo)(k1{BB*|3D9@%cav|OKp97HUxgnh_V>f&vIg=v
zykX>I@RCK*P?%XnX23nOZN2Dh6<fSh_r-1fTx<}IYJT0#y`c?apNBm<$ebdd)C<uH
z_9WFe)K{Ce#lgF418aY1`-6HmWxyfS+I<M1et0cVFw?(FHtsrU(`xPHOW68tU^B+q
zWwr}7YcxfG(Tjks(XNaa%b~3XnA3^1PR3mowdzGaFJ^&_IqGud{j*$zvBxlPO9w;P
zt?&rQmxKa>T%C!tZ|BLxJSuO0*)@-^d}%P@?2vw781|bKJ8vrUuY(w$-}saiQYSMH
z50Qx?<zq<r;iNHwVMQGy33Rh`a}&Z?Xm7|oLg*8JC3E4%HhK9{F7*(62pszw@MEFT
zsUSqhwM99m&1dgD2W1}2!nhfB91!BKNFHIVZ6j-4?0$cA(^;H_SfZln)z?9ZAnBPd
z`Q)8;{3!$DUSuKG^#(ZZqyrxXG@>eFfVnPR-FVEQt3~bta9NIls>g-71h0Tt*8{p4
zGIF`Y`gF?3>sdM*?l>%>{(%`;lF6+!lFK?JipMEq7`bsN-+qs9$lbHGB5`MHOL=y(
z8}5FTLQL?T#;?g9HGHJQHnqeTNE6dgJ)wPyXfC{;qCHWX4FVF0G-vUP-cHp*D2Zb_
zjZ^k(EI?-&o-8#oy!2BIR8t`k#JA&poc+*_FCsm9R{u?EGxNibQ45*Zyki0P(0GeK
z{k-wa5mB;l-Q15>kB;26rkW#tspadPCYgC=<^`9z`K>$r#zFU&ZWR?3WxThO8ozdR
zF=71J-=(W<hQ9rETk3w5P3>Vj`Ir16ytlqT<oWWuHv%Um?^4fva2(5R2dKAgFW#2q
z<I78t?LT40T`Add*G<HOOrGzX)i3M22T#iWRQgk{aMUi?i#jfj+koo4q^*K-)H#5y
z=yHN^NIGSxFwR-1hUls;MHM8Vu};)OQve7T;DFYblFFy^%djI!%6Nr!96)cxwfkV;
zZBugFqo6O(t7W6Q(s2K3;9Sht2}fi-;!;5XUYb36M@}4LWbh>DS1ps8Y?d$gwqad1
zlXs%`>upAfipZE#h1;wA-}>@J84XYipO<DURz^ZJ(;-Y&e48^eb4pm~kpA26-;R`9
zrTP|?T?#gyv0>oV#o7E(SAaszd~b%A?NKBMX8mjtO*S?lWt5alAjpH|O|f(wcEP-|
z8U#5W$?_(Vn_GF>dnAi)b2;`u^zX?y=|&xOQu-g8bs$^(?u7KDOtIN7c+@g|uYTlu
zQFcT|+?>b+oD_5XER+FZdvqdWIX=G%&BIH{dwh-YWa&LkJd8_fi$fhQ?F?!%Dh1Pq
z{izJwCm3s4ZdvFFQ+{P`u8fSGB8puOI_}czImR?$hMt$P$SQa0Kvo(Yh>v>iLbD+V
zM>df@jTc!0+4sf*gYA6IO4q8Ng%!b!_1&Yw+oJtzJO;y%P&FvN@J8yYd{nN_{jl?4
zLz3~2C)QyH6g+Puzw-rIE*@;GVo3tPJ+qm;wblB?PEx5fH9DL6!ulJh&i6$gRPs7Y
zZ07WfQt`|1lXb6Bs=Y65xlx6lHy;diUO5*qZ4hdjHXUKPPhzvoaGY?u7!)!&RdU(u
zUuIig^PjGa$b{S@YfKi3?KfFU^il$^XU376_6$&bsBHw12Aq|x4m(U&{8K9^kl&k&
zQT)tp*VQrFp+7EpMF^R|mX&MJ(80CsZO5G%R(}?%5SAc>m@BNVuZq>Vh~CUq!^kLo
zW<L3I7vT?TF67Aonf$?cn=2`qd<EgOUog7K^6-e$^T2AVBYpCH!SBe5g?<wFntTAu
zXQ1tMJRX9Z+v#L~bnKG@=Md^>DZ;H9dhTHUtO}N4a@focFA8hv62}eGqC~&xhp3}Y
zItE^MN@n*Pw<nNcCUYfT4Y80;h^@&aRp(!bw#xM0D0hIm8Zi~tF$TvoV@bBo146kN
ziHWnvJ0U)lcicoKDeV489HQZ!H00oV*}EjKjdmG}iJe_l_wd?^g$4b8m$r{cv0a{X
zwrD%4);o|c*{3Mv>3jvP3`<*CQN5FwmuE_YwKQLtEiJwEX2Z~9`IsYjUzR0(w?j(a
zndTh6k7f`-Z622hGfYljK}j74L=<B<M`PZ&<|P0x&3(Baj5-~|)GDt3M0HF_ipR9-
zS@!Qv(caDqXkETqx3vQO7!}>7LTg%Q)-OR22IhQ#rE^nlM)UjI22{w63@nyEeB?b(
zr!Tjdhn4FHR(o9a*)5;gNwhX!CgN`L3LeAucFr`RI9L0NH6B|YtEySZ&|ecRm|~iG
z&6iv;su{sxX-zg+JlxV0G{oW?dtJ(scq@#mx>#NoA@d<Cedf2yLBzkhb$S~pAOe6d
zlT<-8Gu;JlD>vQWl#aS{YlX1)REb97Rx2f%h&jBYc5~XJ?LT3o^H_$uD{4!GzkfAt
z=HkMX9*NsM)Euzay8Q*-#_^mypA>xq=IZoE@=Mjlugv@VmvS?ANlyPJO}f<Nlhf%#
zMYMn7puKCX*67s6M>YcD!$z_Fw?-LnKf4f#Smq5W8UsGe4<R268-Gp3$BaB>oD@nJ
z0uLV&4w1vIS+CtX$aCl&#5z!PYDjUfojdxg8urApu9Hhs_2X;wlSY_jF_27EzI)it
zAAK(bQXl`3`5(oJ-bIeT^%<ArhP|Yh^jO~SD~TFqq`j~`es{;Oj)JqHDJ5ZlC@lw{
zemrf2X8qn+t%x&xSXJI(y7pE(@PVa@6f-Hjd%{su$5o9#Zy=@+D<9Dw>twbr{Mi3!
zb4j{buKpU&RA;?8lc0eByONq3@`VsBa|H@F1n}@Q$V?I>&H(B1=_X5+jR&9br{4Hd
zJn~xljb#1Yc5^5t(iq=23g=Z2qh|X0Nv$|UnFxo*fN@U+<Vs%N#wS;}V~|U)E-N|Y
zfO9fi8&?~Na+3t|n*P%Jr@Y3-jpF1+X=zceyg5wjrDcGR58x%|Wa4>M$ZuStaz;H8
zrr`rc<-WKZ54(U&YzFUYwOd^LouLy8mKZqQWk`}rLaS$BbXeac_WPRL*OhhO=;exD
zBc3Hl7p}nz+$~zqCw0kN`D^D8x8|e9R$WP!@rJzawY92l;;|g_nw}+LxWF0j><VW_
z(#z@R<{Qw%PDCwsX4!(_GDn+<Ec1!%G$sBn{i;d{tbwn>OXH&#mjw_oG={@>En6@o
zk;Be!2CHGCzc>Dk_$j%&2Ma1_=FF2_3S!CG=bVsC;NDGkJM0&Z<Snlfcx+3#ic7rs
zkcjuZK<xsSYKZ7TB+ci2jgn^E6ic2h<p_q4mTvi9mTYyK`?^S5hql$sGbugrZA~OJ
z4T;j>-u(Hf&Qt(H2=uTo=$)0r4p+e=n`0LeF0zw`Bd>CBF{yCGP28+`{T~4g?#{<W
zp!Co;lW*=X1d)M*U;Kr8HmLlY<z`ezg1VhX&#@&bv)u40)sxB@y$}oraQ~X_7pJ8L
zO03ab=USjU7B%zr_ouK~lpK;ElZf}0kvwMur*_4wuKsKkC)!fbP^jg&pLIDl-n{32
zK4p9DIX2Jqgt-Q-ZZ6n9?tx60eS11YkZoXLO)*loB!9AI?-g(~Mc5g<FHTypR}oA`
zgtBt7WYYLmTiTYj;xo4%32V>OIQVK)aAW5s^IkI=*!ieXg=S?aE(fTPBfQ?c`r5TN
zd7W9WgO49ySIo*8tmNTI6QW=(6FUOJMd!y8hK>2Ds}kb2Do^CYiN9IjzQa3OEdyT?
zVHtZaJp6d3tX8wbD7Ypw)v%CIhEaGb9hs#5Ggbal2&1t0g3*_+3nV<QvKS0_iyKvC
z^oi_fgJ+qWbTUZ&FkMSo`9luy*I-7%8AQ~NNNCj09!!VZsWQxr%Scs!VE^Ec>WM^3
zzi)Q?&g;mg=HkZ5&Zu!q$1k0N?{<s;;ot+4?Ss$hf7@#e?S+wAYE;<_%p>N2L~Y{2
zRUUsgb%!L<)mq4cu~e5oLt}hTn^J=AL$>G}tG^Yji05?PNd*BQad46Mfab9N^;rth
zAf!7ZaLBCCJW_abC=$6-M5???pvimd?pI-h*0UElV5$U_ph&(i04$L{boyi*VOv6S
z37Z5*e@LHIy~fS<KqOC%Ynn9tF8QZysZQ>%s=r`fx6H~GR}cuZ<CNlL(Ui;5=>Fhq
zF({?uO`n%-F8B}>c*=NtSr(>CAu`Ct^=N3xfT?P;jFJcdzZN8K5uT1s^nBPVJ#yD6
z>U#5mR^K*6axkv|J7BI-_Cxi<HV;8^t&m`*R!Cn7!W9%`T?3vZ?r7Uthti}31}WAg
zRlC3`mRs8%D#KbIim)iAMz9eLRf?q37OVkGi<W2i2A{+DglXNgLe^_oV9{{JW?RI^
zFWJb^PlQ*Z#=IL^g6{a5dOt<SAfjqcK9i41LsN}@3TsnbCHRUp@kHv8;Cb9f-^se!
z67PHzie(>-^i5@lY^lg4pwkq8(?4qjPE=>hTPO4zU^FF66*j^Bqf(^qq4!EG@%IF~
z<K)Axf{wlKf0_L!)X{#7>FA<-Y@CI$G@#P0&H=Y_ze;U4m1u9IVeFGu*Q!hC;Yu9X
zro4E5uW)R#By5`=ysRrH3}1And0)cs6jEhTOuGwYIUpx{DN}mV`9vX%M2mBKVDSkD
z|3I?>f4Rk&<Th>MvNQtx{IPq<!6P`q5AdwY&L!Z4vV;gX2kZ*>5~Ou9RNNkWrB96Q
zBbfbI<5TX@w)Oa;&*bdLnW)&3`td9bqn}&HG;fZ|;IHp!iP%J|BISJm=AKW8SB5h!
zuZ;-@rB9Q7upwHyk}~S#H`p|_^9#SNpTA&s(wc#Y=l1JE%<#ag8L}thF>sF-u4&q?
z@hpGT$3XHCIw&x3bN1wN&u6mSP<We(0!Bq3TFn~`_atlJu`UT$h=4<Jv2U`n-In`8
zXjS@x2B@l|Q&a5!*&!E^p}#I=9GwxSN?$?{{18`XS(3)XrGY9+!i335gsbH$EGhgX
z;QNywOpNwT>Pab6I@8M~fTi!uN`)fWPNg1&lR=dt22GYS#71~D%D+w}cs)Z_DI}Gx
z+}yX=QAHK^@+-2P*A|Ig_--FQn<2RRTwekY9j2Hnhu-AD4?k71x>XzGPU^eIHy2lX
zQO!4tf60Qg;={`zh;pOF(+nZG0ivB>Zb7%+c?Sx9G4}pf&+-`N0%W4`rK<gD^Po52
z)CpjK4T*?oWq^k{$9}f;a-XU{*4=mB#En&=*-j5;kCY7?ZN_<wFT-dC-8J6fut)00
zlcN`;qlDhIdFvkj*eB3GxGN(havKc?NUGpYPm|!=ax)0w&4JX}%kAchC$7^}+}E#~
z)VtBNUX>$;xpbP_Q9JJfch*E_E{{22ZDd=)^tYKzCr80a>=MeJb=|?l%I^7C%cs0b
zVfl-y|IJMQ`*d8_#^}Yb%PBtNP}sPM$hox6t*WU^=u=EY4TRLf7omKQhFc8c-OA-5
zglPJn*opnaZ`2I{uW?I@{wWI<?jL0-_gqLVsa)`#YHj)DC%Sb$`V2k#V^N^IB?5dT
z89#kq%<<zb^>Wd+y&g@rnY_ekU@SV93U(oxkcKw}@m)+G-hu}b&DxHX2fKZa(}UyA
z=f!I6@Sqd%-lsG!EDwf?Xt=g~ej+qklAyPDpQus=K&<i05saA_PSz84%Vl2<9+*ft
z0c+1B&K@4S`X$aSG-U1a9$~VOcR`10I?!@t5dQH%g>Q4Gu!4j?PiwkEp|!FC%gN^b
zo!#;2d)-T!y%Dhl?UmjE1%X4#2YEx~(<G}v+YT}6mZ0DJNk%{2!_)v66&l5sY=_%z
zjc3t{{ZS!AekbmJM2aG&{hRX%COtsL8oY*j*Kv;J<+P@G3zz&Q%%}pgo1*xDlg<H1
z&p|?OIyXKw9`kJSy1xcU)8$kDQ%bh{^l!fsr|xgxc}h_%Y0bXbXt*k0T)cAZ>gb`~
zwHh#zuHOf7RMW%K40uJ;`Xcl`RgRd}y%sxPykX63s=!?Kdcq#=<=hXB<N2N2luWu0
zY!xICU-KqeDweXaz2%BZdxJCB#a0UE@wTtJ+^oTI+2i`Ms!a*)Etc(~V_MwN&x7sP
z(iz9DkY&p?siZp!9Ae=WFjBdX<Ce?YfQ3dZ4I;v%Uvlq=bW6Bjj>LmMNk}nhMW<F@
zu0C^jbbWx21M4WEla(veeS5PIC&&+zj_e6I27KN$yk0M{gne^P%$P$Y<^mxxG5fBI
z<Fttt0p!1vvI0bM`nMJoYDB+W62xrwFh1GvuRP0kj77er?$`d2Y%yt?SiAu4d3-j^
zkCjLLS1@(?CU;%;XRk>I^U$;vHH1MU4I3n@uiU8d{$%xZ__M+HlkTst9ZNbmTb(%Z
zj-UR24jUEB$^9KdN<T!;MqaAzPcyWxJ1bxC<i0npJY6>+T<uo$xAC*!ic_<)0BYO%
zws#`pcORaYSAS0UDK9(R5(;W`YFSPE`EdNI!?~QW%N;2%U3s}V%gv5{SGl_+Jrk9K
z__!IsoZpei)}E=m-U7<)SjZn&G}@V#P@M3IPyiD3GH!u<^b7l%_r??wnPxWus{^9C
zr7I2y7rFRq-=KVuSq1XXFU?0hON=Ggn_^JqKj)^2SLJ6rjhA2Dm(df7)>DIly1@bQ
z(^Ocee3b6-biJEVz)O?Ku7ry3FyA!TVBman$c`p*=&cu_Y%4_%tPNqShiv)GdOMo=
zrc**Dj>TVp(@elqOAFa3=!&ZBk_f0{k3SZTgrg6ix>njCq$*jIKxp5ru#5blg%kxy
zZ3)$MF7*eN%R(cla1esaK2<pt{tf-jv2vXdy0(^+8XDRAXGJfqW9o=!U03+KfYj_N
zUGHHsym91H^FQy;)@PWfQ2qXgAG;?puFjK3Vz7$57X4itzyj}-FvfO=2zFQQoU!r7
zo(L*fA-Y_+kd(9hv1~lYrA>X-BeS%yEum68U5_({aAI@Mwml1<)>afMl${5ClC+vb
z49LdkBiZ3q3NlSfC4HU<H4MvNfR2A68rOQ!^uoQEfY}dsZthp?0qN$8P-+uCxyh3N
zqZ~pft8r8C#piKny`~$Y^l}?p_-Dy6=G6{crpfZ?v{5<*=|@=530bqD!v~T9&e{x-
z%fr*^JN{-A)-*1k+2o?slvv*D5Xiz9wS-ps*PIhKE=}oKk{mokIg?S(1Am=zS$z?_
zm{Xs!qUgWa7tM8V?Je-WQ22wbEZ~Z-SLn$Yp^NHc&}E+rR6Y&a!DQu$VqA7;Rm4;c
zb0`F4x9Mq4d6O)>?F6oUq22DQ2t)^a@f-4g#MU#5^75mcZ<gxRYjAG?_qv?pO6U#~
z<fu_ZzNa2FxqE!yL86zIV2raRli=lvOWql51$wx!ZS^^vn^FIxrm0RXamb9x<yW0F
z*%-AhtbG_>G+n*z#CA<Wx}Gvu;`fC<l8Q6SPsy&mn{LYL4v^TOjFa_t9zJXjyILy?
zM&)Gxn(m~C1?F=-%igWM*1EDkbPChRkl^ay49?G*gq`0JKl?a?{t+ye<tej1(mg?~
zQ16W+oT6*%Xpik--I@5}%JN!2sl3iNQy)Q8rY-SaWd4h#n#-&$OQB7Kd|tcLX+TO1
z{BAHfF@2Lx)9}{`#m<S|217OIx+{gKlGaLNY6mi`2KEAbfIDR)7CO^pIvG$Ly?l=(
zqY()vX@p3%$kj4?ni4$=%_F#$5B=Q(;`L@$pGkj;b`%3a)1h5N2f5{lkBoUlN1iO$
z(qT<D_usvb%Y4|~Yfc?T1yw~`Y@+h=V2qmZg^3AAj*jr8itmRdcAL@@cvx%m*^YZB
zWM?u^$MA4CtZ1%FfIxV44q%9;AsjTI_*~-I!R(g7F#R4Dem`*xHLH~D;fiMZs@*bk
z#qc<2i`r>b@;505zs}B?jhv$H&i+G-g7&1wvJp?v`J+uiVfbz@8zYNCblL)zBcIc{
z$UJLC9<Z-ljAu#aJ8g>nr|+Y-w@t{^Q3v;==(Ph4Ej7tk0-G{Fq!X+5%sy_5Lp1$C
zg1i26fqX6Pk$(yp2MTt_YD(nWZj8mEAPE{r&&nI9s_Ps1lUVU!Agf{$%OM_~#(<8n
z%!!lyf%dc-_`S*LE|%p`CI2IW-6Dl{9!%TIXTrW@GFHgeJxRFC_ZgoevM#MyUq;st
zS3?6ypJet1Uwm-N8D~lni!IGOpho=`L)w*u=j6~;+SswDc{1)7$xFGhV*9^)%%7pk
zogT3g)>r(Hz!*byISlM$Z_m%0FdB(XP}hB7mOmZ0PueU<FK#&~6Ikh!SAQ$u+5{42
zmkfm72_S245nZ*ZVTu^-<KNl`CJlVBg;qzeOm6=Nk^Zsw2t%w_!b+w_($cg=V=2*1
zH1k;)H!tk={pYxIlvwE`Wq?FCFM3INkusv|Ro2h+??35Fl_<>(min=28k}RKHeZ0a
z;~C=6$K9$M{)`K%_p^re*6UDs!;FY>bT;YM`KR<`L}f4Ix%o!dBk+wc8?#*WaDYH#
zvOJAws34`V(0qeY-O=buo~TmZa8cJS#e_wBta9E{Lr&7-vU=*g`PtR(@b;#t?$^h{
z%@^wT^qaZs+QbK+5Q(fNU5Tk{c_j9qTvZ9Ccn+BGG|-M`l9L5YVNyTY);W5fEdAj8
zA!)^_${L%>q(?~ZgZ$C8pM)Nr@2QBFCEe6sU(-KZkiG9pV@L~$zaA<olev6^$qo_d
zkqnrutOEubBLmKUpsrOEpefzA%OHlemi(Klve|z*i$IqC+RZH;-z(@LSZ2rg&58Cw
zO!?U@?Q6s;?Zq_3>aiXkeBPO#r8x;eOYc4VEsJ-$+Ht`@k<8>x^s7&P1PY|?AFE(2
zndO6NB~RKbfvf7^fuSDpbl*5q!Yx#%=@x>gWr840k;Sr!ho%pwMQ?A*P<C$|Nj(a8
zHK``i_Q$M+ck3jfn-NSfm~%f@!4GXE_8n2{%Q3rG@}{5M1vKn(qYeAsL>mDj?mUJK
ziXYqNPli-sTkRG&Ry5%Yff5G+$fDN?jkH$ZD6R`sJlBRoLN9ukg`SRLZAJ7r$a}|2
zmp~7S<Wa(>^Ao*PBr_VpxszaCQWUG=h0~LsGbbMw<>(VdeGbSOh-l217)do(>Fb#O
zPm7}70!~busoswl*6ek$gb+4d?vJlj<i`Z0K=b%=5qs<{!&(Hu+evaD#ucY{i&g67
zaj%8@9Ei$aKY!$lVi>sorzr3NHev(VH>s8NiEsc|#inV*sNwYcrEBfdPW;GN>?}oM
z1n(wBkKxU6J350#!nJlhZ=We!t+(I18{Ex9x7ZmOJ-{<DA+T(j4%xuDsv_+Wxp?{Y
z$p7kkG?sTl&)zdT=5Uqv$p+ENpmK+JGUr*s7^a3?VZivSQ{u|u_G4iZwP>KAOLjUB
zt?l)onh!vtC>QUz6Qrp>r9m3{#2}YZrRG4<-aF3V**M#L5Ou_y+lge8JOve=ru~OR
ziU5ATp9hm&-6uE2O#f(PUDw2}arfNxQvB<p5uwku?szG#6aHtd6MMHkX?*Ld9zpy_
zOsb!|)vabFqHvEmdtA4q_Y;<Y^NxdH-?f$C2b1p@i#9NEQbj;DPaiCbQSM8NcuHh{
z@y+H2Gy;**r`Wx8msKF|G$6tqeQdE7ANJ?hP4?5B6GS~RuP<uTETyE^x96!ANGl{m
zf>eGjkjVOCSG%Jp$nrgw$i=Ki{vOhT@vuw6hdc;LeIj`CUtRzh!G1fPEJgOXJT~%f
zay1BV)OXt~l&4ENW2;NW7z>ZAe|pK0p@r@uV0=LDIGS1NBg`Or^+KiOK@2<K?bN;s
z!*l2I>1Xn}d(%E-mE%)Bjj!)TigMZ#KgQw(d=Dzh$ynXJ_L#*Za*p)eLf(Bd-#fZF
zLfsr`<fijXuJu1?$UiWDfb~;!9;VR;8~L3ydRjm7<J&^fqfsWQhPZJ)qox*E0WUPg
zP`!miSvqBzoN2fq3^V#t7IM)^*f9{%RABx1Cu8)`j)s^<UryUd>k{z6?#0|&4MJWl
zu43E|;gkm0&mRBhhh8Jy$Hen){R6cz2T~g<OR8$rSjO1b<xi0WgeN^5bKjfg?{a3O
zG=AwQf%ksNRJ;eq0%32`;tAzU7M!}X%kGUO`hQ3=YUAXFbL=uIM;*)*Jds$m;}?r%
zb7ag4_`XqM>U=bVSX!QcW|2s6ShtjIh){8RO^)Sw7OEtgatT$aFoo*9GV2956sK;Q
zl01g(s@5kRuZlg}_GH3ar}^A<8TCr}v!x#fsL;kcie`T=iOXUk6Is7cyeyUzX$T<Q
z2Bcp<*8;ykK1K-ycejkjZVzh<m|BFw#^`NoT_eg;tO*dobQk>FhCAZlCUt&TDx|2o
zrr;gFeOERkBT~;fY9<5Rtc%H}&~-X3P;yX5O`N)DmHP8XjIbBS9555-xno3MO`a=6
z5kK9TbHb@H_R{w4eMFS+CJA3b-0>pbn2`Mqq2eQcOHc-Z^G3Td_LmiYEUvn4TpgA9
zgA@4USz^s|^^{0tK=6l1&-<ZH_ppS8DZ;9dn2ux+1!~;4%w?MxT2Vpnr$r*>`PMd)
zf?A%BI;-Bs>cO%PUG2-WAd3K7Eh@??!3i?m;xA4F^Jpz3v7B{PMnikU!{jY4!Nt}q
z{*_#>H-oxj`Pvf1b1}S>^9^+?TSR0v2DIH`MSVFXGTpgPZ8_71eyLJ-Xj}54WK7p5
zRO)X>ciccSwxAQ3u%yc;yXn`62YptJI19Gz5FT_A6n>2WaOk?$rNpKA1??&nh8KVU
zbF9R0jW^VIz($U)7yrGF{^zD*&JCAKV4<HKHZv?3WY{rPNanbb<3SF1)k(xbewrr~
z3qX0J1cxbG-|_1dm)n#1ePHQLX}I}B)?6&x$@F03Wjk0RTc-d>p+LbqB1X+JoHHFZ
zJd}_Q$TC7y;!>mnFq=^LPD1x%1@BGWX8YRPpPy|j?;-p|MY5zFDfvhyHO0gj1|BgD
zB^_$GJq=F*4ztjfL9F!|jzecW1U9AaPlBH(4s~!acdDDz#}AKUdkPPjzSF^yHd{WL
zj{;qfn^LA&U^xgg@OQp9ZTdO0Li6K*;}H<hI>Lr`=<4v>vxO<T5hP89eZ^B@nBRkK
z&X1$*Lv&STYhM!_u7i4=B7*Zpgv302CvxM3)xN%_XR7xV#r^Ux{1Iy$#d`2HwNn4D
zY*@aOwQQ~{vzE9&p9a&AcGVAK{^=a<_4RKh{FHtvMby=x_jg5a-50~J2){C6jk4Ad
zx2&6whs9f#$Gs~D$~>NyStsgKt3=ubNB;uQ)V0D1?(f_YWbt&X?);)VpYRhG!E|<A
zlT46=CQe_mJu)<K7k;f4v|#n~KD~(#dquY?6(RhPL!O3dptJFdKkYnMS@x@6QjS#f
z8L=B)qEb;o(nIqPnZEJ+IVSnPo{~ygbxdD&A|^Enco2t7Ww?gO6bx1Z34Oet*1=YS
z08li>n%ErPpYmLq6tu!4?8)P8abI6Nv3%h>!^Y~JW#SMzjSlTS*rCUcxl86onTu^I
z4}z)bR<nxeZ6i9|Jb$+IPdAOgCUzg+{o|ziyTiyhG4aD^UkniVlpe6jlwSE-T_4UV
zC7VzN8MJ%@iOu6Zd5OQjCt4$#-^bP-HS}6AE93T+E7&!z2)n@**x0`A{b$|xGEL~C
zC-8!?n-)!1Fzl1n@UBo@KYqfr*y5m07P^A$cG%xM3}QJ-B<PVE)_$T?FX(0Il~B3M
zeY8ypk|jTHH~gMt2V(TN;6BUXUKp5#3b+$@)D;}rQKVEh;^}}&(rB%9Do^%yu{F&Q
z6HhyzU+d+{)G$G-q|%g?0{4>3HnNCfwIN?g=W<^T(wYmQJ<*YMS5XQwderTC>NUs2
zzutyE9RU?CA>$>!z+nC*y`=%#JCUG~^yDX+<%fG*m>^W5U>?yqU(y3O7-K5EN%lEI
z<x<g_In8nj(%;hp{tTC3esY}c(L`4pmu{*7Pxhl$7z}v98A|Y^{rhJMQ^K^%4SbX6
zSvv{bt&1OuG8Sh<wOKRG2c<#T8WUfwpj_0vlv*H{3!-j%+1L$J<roY3?;*wjfgJx1
z-iOcK1y{RoPtZNpzVvzVPb_pz>X+p+bU2206K0~QvU5{QsuUtWd-ldx27I`cUTkMC
z5zaEycywWOuLd=<Fvh?vSAm*RL~K0cfbvclJyMb=7#6u-x(jyX+cr1Y@un?pSV%p$
zwF+yx5_Z!tG_~XKf}*m^p169frvBjY=%c98P!fx}hGhx*WJL|FM8f+Oyl@J>Stz>y
zqBVE*gFXAq3jj+jFb-{|?oJQax_C%p^HX{>bF{Z@m$4(a<*dwKH(?ga%i6BCOEC-b
zj^+-7n1u|Ew!ocwX3R=!m)q)QHHQiIv-JpEY7Iqc;>A%)<cEQ$JI+Q=<wY!c&+;|p
zdLAQxB)0t|5l&(n!EFTZ%wW7wNXzO!K6HRS&ZH&6Zw-3y_$?8@Uv98MMtT%ppw?*6
z+3Dp%Tjcw@jD1}#GG&`aE|<iqo=;0@R7v_rivtEHRu9K9`A~zuT*_Du&$O{?I?eE^
z&+L}nlm7taP|2%bvz3JNJP+=iI2LtRP800-fM#Q%B=UK0uF6#>LA<z)EZZd%vx1X*
zam*WL(@7;VQ`<>=y9kZBzUCxCn*HLAGsCUTumf=+wjR95DMDDlo{VUWl>T3c;6F}s
z8!m!RPdX_9&14wF@UkG>Fgqov>SWfdN{n%sQpK<duuJP_o3C*wo~@>!7=@v*$i3b$
zb>IoB)tgHSE7wcmM(~ntnSfceCa8QdaHWA$X%&>c8b;6lCs)<U+?Nj#=g-cOaR949
zk!;i|%f`KsimRK9x*4B6X>W-of1S7@KI6tl^Ga2(p|w{FLu;)E!&Ct`XOHP(fG%>W
zs95+gu-S)-xQImxH`}ZefYYz%{3sN`UD{dx4u?_<psHjV<=}Z3`0%K!mR;VbU}2EQ
z1|%99sd4x`FmXPCSA1Sc?N7gcj!7rY5sq^BL2s*VtvfJrsK8sLW{uAig^Lr6$k~hi
z-ze#S-fnYQ;faF>W7en|+z-8Kl%hb6BZ3YatWL*EMl7P#m-f6wN+#(0?mGT(1k4GL
zxZ~-vO`Wl_R_yeLKG$sBUF%B8ksd$$wfSRndm7cFZ)!&&pyn-A5EawVbEvyLMn8{{
zboC|u62Jjojt?<7+lk3jB<QNV75J7S9;cxj0+L$drM?5VkawHx4EVMuDBBu#gcU!|
z&z)S4>gFY;5YNh97{ntQqExBxfrex~b|pGW^}5F?s=jFF6K}C;)+a;w`eNU$?rjtx
z!SY-3iYnVf4Y9UxJE>%725v*t%JNC;H&UNIs}81=?U1@33D79qpc_5Y8!k;{a2T_b
z&zRKwmw(1ZiVo{xg7gB`%mxPhc*cdtQ2+|>ZQ^9UQgddY?_VN6RX5nE)>vEig-)9V
zdtKt>GhWGBeZDh_UUAT7FB>9HmbfBO5Dee}QIpN6S3KfWw|ZTbv|f#~Bu1yZZh>Om
zwj;i*Ys3%Q7dWX7IV7krUMc;0C93FA=xcwAF-kDs6U=n5Zp)&ZB7GtL9zK@98JjMf
zG}QP_toG9K2c;I$=X>gQ@l1T-yImp>hw|HWMUm!?mdap+=fKOC9tzI>?HhVVtP>6o
z(qQzTRo!<#Qz)h#T?>h4g*}+RZMA*y!7GHiZ_`?9#;Rr#J6?F$%oAN+=6YTk_J88(
z|J*6AzStOWNX2X`WYJ1Uwn$Ci00EXwe-bOR5q;9g%T&ftoD;KW0SI=9(uG<7W|aGm
zV$eWr&!p4puc`}X^gn4Tng&EA6?(E37HCZ(jO8qupu#ocj<y$Px<>6n0PphQM1tHs
z#%?L4D6o+?fSn2=BR*~#jqNA-qVKhJlBDTT_-#eE^Z>A;)8$zUDNzfh2+}o!takp7
z;YJHk)abFlAh`YobHUl`>mnSGT*pl8#j62d9H>yH;|1INc<9!jc}c!S0C>ozb%}xi
z_lSYUu3kP{*~0A?+0vKXjpa~WJ-IkDWAdR(0FgI4t&=It{od6cn_S@`?~lNIhJA6O
z<%Rx-%Zge+_4I6xz^Ps6?{hB!s;Pco^Q&F=>$cY$?a5(DE&Bw`o+~dE8}fiwrweMU
zcTXwAt`N43V%$2Io(r76A$-7kAl#jXLEUIgg+IlAnalbuE>wnSlqr*dNT&B24z(l@
zgB>;sc8fX^juyst3)_;?VE4Kil_msN+<y_hhE_UmfC8q;?Oq<@lz*28l1I!8^Tu=~
z8(+?^$tHde$3HIWi8vUbx;!k;10;Mwx(4AW=q0|>&U53cLS9$|3~5czkH}`WyK35Y
zXi|UeFxwev%i-+K)hP)QPtd1sF#YyxR53=eocYm|S!d&5a<O+zkF(8n{E+Vmo$zMU
zTQvoqd_kM}h~?eXG=|Q|<z9zhJoxXrujx*K(tJcTyZ~$Kq>sF{QC*+$<~+B4q|Ffj
zKOF7vo-)r0AJ%nU0e+D%!qyjy7!vn?Ni<x|#RO$pO;C5o+R@U74?ZT}8E(iPCjmOX
zVKf`o<@DyG*8&H0A1!^d4UTc$`3Mm-8$o$f=V4d<tZAH?J~<U8N(3aK9ZMnKcM}+*
zs4lN^#)6@52!=?l62*Q~JlfUuzt&;voIX}p>rGJQ@U-PmC_-r>y@!p?2gNV*Ta}qp
zw5{-N9gN7s<|qgIh(wkJgLl}K@v}0923M0vt37}E_8RtpYc^!W=k+;!*}jcY`Ou`Y
zG86%lX@_byp|XXTtT@Yn?+Mz|EsT_!BHL_v!p@ps)0r{&j0ENr_Z0u@zwV}W6oK>d
z;4$06r9bBHu(GCkAf~g)9qzsj$G7@3`K{(5a(Yw&{=7-+0`B?y;M2LJ0b>e~HI&+W
zl(&M)2qFh6lpS7qvPH>@{9rh8PT#e>f>LZ%7x?%`07R)b%xd5=tU=w-v8bGKg)!v(
zeR|SX@QDPy@eYDh(`~$^k&{(_l4|k%Sc9-&NIu*ATCF{?C>g@GrZfB_5SC-EFt{Zk
zmozCc5|BTCqsPF{$2`{JXg)D^S%vX6iC#OF&K3z<Ufw>^rh_)bkR`%g9;mN7!*EPS
zzSL>#8`{T$Y_BQ7D_narHDV1(-erp4Rux8`B-)zF(3ul*JmsYpnK(M?+O4jP!t4hH
zrjfw1iRYW#Qu}EOe>Q(W5~{<Jq)$mC-R(G73aS;QlJj7TBmNRlJ<LxA41b9IrKPV4
zaV>4XJ!g5N($<rRcl2yGz-{1h6GM7}SU&R=ISo&Wt;{WVX_ahK){)9LOFM#LtGGLt
z9XEnp0NW6k1^o%UJcau_MV}+>uK<~}r_B=wE|uvD#~E+dJRh9*YZ^KNAYbMJAnB35
z<DIM2era2!1lL0^i1hgPv$BnX9R(xK&ggW+djgWu0KQ3|;~@y%Ggvm08@be<_b%+>
z@_TaB^DRyCsr1q;r}`8xtzo7H3p#0##8MEU>%*mNqverK_-lY8_dB{{9It^oGA0dM
zKR^sj5Mg1RKQw0`%QW%_m>-8*^M&sp*^c`>80`EYG`!nAV4w3=j{oi2D+(B+9vnR*
zy2;T=%0jPJEn{%Qn5*sQ8O6RWUY7lI?Xg0}P)x$4ryqiLTjI<Ia-RbEl2!~bR^1CX
zmdbO^k)lQt2d-f5=?>PFflB-lF?m_=v?+F#E3-;1u_Oic^7>nLevujFarYKz`8%;a
z+DNfG2=CFe2ze{k$MYw*;;9r8(~a+<l7p2B^fqeIK-!Nsh>rvo`t>mFG&6NS+YIxU
zkcmw))=9-*S>g)6K;B_wv5=<iA1ZZ_;5riz35@Si^WkGQ?KB9(kUH7d+r!6&W<#6O
z@4C;G&Jt@+{pQFMs+EQfXwlY-Wz*HyVve0pdIR!XlLd*l%>bwVFT1;Le^|b)-@wq$
zfB}|LA;rhOlpcEn9VI-Km{^4bv|O)ac<2@xGPa-?LoW~|fp6|tVCcoR!GU^4IHjow
zc14{_Bg_`45Z!cG9<<@uG<bB%A?P`uTvO$}n=b=)NzZyWh9yCq4iWcb{=Gr{C}zoY
z-F+z}P9%-;P|_hFhHhvFJ#s=w3>()Q-xvT(Ctc$4`S{nBQ(MhH?>-C(T9hNBZKz_4
zf6nL_(LwViM6*v$jiAC=Ax~gkKvPd9$BdD)2pC9V+$M|%ck^MZG#!5{O}rBLtwq|Q
z@5F*WB_>dZlb6aU_;4MF{=UrXtz6pZ|Fm41u@6qP%?5ge*k+Mt9FKd)(AEd{E5PJx
z#M0F-<}~cvCrh7X1-J+Iev@f2X~jHq>abBeP-jr|+BKBm)Ch-HP~9*)Pn|6*qU<x_
z#UG~S8pl0W@TX2(=L1H+f`tE>X8SK#z>dAoxvGvo#`sw-L6`Dv8#As{NBX6^BN*?<
z6`CXT`$e(Xa$@E;KTXw3$g4ErSw@MNbcm$?!=eXwJxL$4B@-8}XccW67q0^PARiRq
z8mLc$dV<?jLHVQ{WimPArD0OBS8cqSrNlk}8iRdQDaNZ^Ch?ega;~e{0{bBiD8mHK
zi6A&@2Yk`~AsjqF^ucJi*?|Z%b})g_>|(f4Mk@})bxd=3xzf!WDw#R#!QFV-6SR%I
zb&eeQ6fb^Zq}#Wkl6QI<qDW~7x;eF|ixI#un68S4)Ny0+*>y%RjZ8dJ2@v4Dn0<$`
z#>Mb4FDs3~6P|1bs9mrhji4UQy!M&TdK(wsX}glvpMLyrR`L<&3q>5>SCz}%_rTyC
z1IYV>AQ{Y*2_%QEzDcMTCS0Ljv5NznR0cfA&Bhs_q9jaisVJ$){l*@X9l5r@_Bj~&
z`%aHIRhrk3{7tHmXdV7Xrt{<-Zm6}vxvW}1#l8lDcV*JfZ}YDjkS9)Q@CwO%u46rb
zO`Kmqe@#%GW(hO#1>k?Nwr9ix;_H;8zAd^`9Z-_)?yAjD72Bi?Ko4e^XTMK^pUo#j
zVgxxzQd(x|Qs9;2TKw-n$vP!`xIA-XyDnx6cbAJ+rcK<u+f8L3{R&6jw~IHp7HW8D
z@gZ=CqV+*h>bB@RUeQUJ2Lo~1Vizz^Mk%X`Z|4r}A2fnPzqb4mlxodb#<ZkoC99c3
zKiVcgVpU$$bvj}FVOhj3?L)NprSjcg&odg(y&A>Z0mHQj_D$Z8GKB;qd&E6zEhxbb
z9|P$NL!Z?M*R_Y(>mMP7-Xp|Nbt$Hy?ZV&B|C#$;qzr)S|8S9ivXb|Av)Z^3OyNQA
zpxFM#w{p0qyLzYb^3TZZY`PiL>Xm|JPYK^TieO06kt5X%^wH`>q-*)7lUdsOhr_0P
zGS8Hd7{4QvV(rZLtV);}d2gtX3p+@OR~jXKs61*Nu$r24mSY#evQB)eJT-Q&ld*Uf
zmZo$zAl`Bb!j4pA>Jm@X8v{fv!}B7Mf<tgdU`RnGHo~44J6JqtAPZBpc*=u3dOoaY
zz$vBST(&v#XMkDor6XmQpu4Vj+t8s_$>*GU3Sgaavv|>^>@OblJC*|tzfa(jQCX{=
zwq5SZna(FWAionLqUjuskvjEPC+fW7Z&gbL8%hWe2rUixh}`4$w12#?Us*Av#)Q1W
zuN*`69C>V>Wx;(O=1_ck@Ti1)D%>Pb9HQh)ID)^bMrzoe6bAxb116GgCHOmaF|aEr
zpbaV1lyOvH1k>EeS|Gd@n5JA?TzYfP6S-YKrbtVdH;krfN9q6{^oNptk5U>oU0!HK
zpkBYZ|N6FMk6w#kK?drOS$d-7LvXiJ9oVVuFGhP{@U*oq$_DZLDn&Qody7&B9^E!Q
zN-URs^!LjOA!X(U8fHW3)bz0^J2R&I>bPtP1uY&iAm>Eam}!E4j#2Q#s|5-*i%bY1
z(5JHwg41wimyYIoA8E+--o)ZvHj&#uncZB@U&b4J&j*G1+EoYJkv!(tL-5UvyKiv;
z-Vx_3xbye{M0O@-EZw>oJaiblqvhFtNvK(-=1hA0*yt(4{7UkoO*)2Tj>OFSxs?Uz
z><DP|r<(+cNs2}F-0l(&zURB1J_|B<Sn=-igOr-GC8Z%(k?E`Qk=S{cU}s{vlPn>X
z>!hmzWd^gyd@N;Y0Z;oYFP>Gfk4#p2$qYae1ud5}(}|6;EjxDzZ-sq1RlAXR;rUca
zBBYrEvwe{GQ*H?9O|}>%&AY>^9}xRualt~?O)g#+b6HijN86f+f&S8jA$#n$K5yPZ
z$K>ww)PHOQ-iY6v#q7wpKjuRO{(>li_(s^li5NJbvL5jXmg*IjVfgK6*oWtN8y*Hm
z-D7!hi_ci~hocjALVdAQr1tIM|Dx-w!rI*0Z5I>@#U%s_P#j8dcbDSQ7Pp`+E=7tv
z1TV#{SZRwxahD*)-7R?00LA5`>)-o1`<%7*RW9-*7vG%UoZ}s1yyNArV?*2`7LMLP
zd)`1{Z+sW#V>hzvk%{o+r`{(&%YjoVPjlZXR(bP)2U-+x!sN6-<tKFN5htV8lg^B1
zk%{TM<r9|12t1qXE3W9}SZD5Y^Iwf@--!oDj^0HV{0M)swi)bzvG&zYUgXtJUpSX5
zv0qGPKL@aCP-mu1+{{riuR(9^EAOP|2LPeIobCUz(m{cTtJP)Q{_j&Yq@Gj9^Uk_s
zB`TqHnw>oRFrk**Q9zu4)s0MYnA04QEMfH*|Dc=s4trAHzDHAY)NPTRc)bh`Ds`SW
zwq@N5ocsmzrHgtc5YpCYcLmwhiRpRz+;P*@l;1bzg>5-YSj5r9wL1m2J7K)q2z+Ra
z;np>;jSnY&5HW=fqf5?k{bpNyM>9D@7su<<5RZ)6SBc!vbB9<Mmopqeiie?<-Qhg-
zRQyBC0=H|jCC|w?DYrg$u#K4esEK0FwPG25j=Ap9)l`+km7eR0feZ)<P%vA*_gVY8
z@@#g+X*|lP0u@1*j{7K>sPsHpnU(;vW6$033i0c&dSH-PyYt6cQ{l_IJGhqr%RIGb
zrRYJbOi!-w))8K7zdy`EQk(D@oihV{FCt-(QiK+l#O;E8bo*{oYp{tHYKffGh_Lr^
z@@Vtv%JJLlrDkQJ+Qq)-393xAxsscAZjEI64Ik8ebx${MD3R9{wdJAyGnOEBr4EAV
zREbm!V@4z)0CtO}T>Gr)Yjp?y*huzt`vX!1G50`-VV9{*pi{zZ?bGl!Jzk-gxKtWL
zr>PXcIo*A!PG+voAR3dVsHSSJ6*K>;SSPs@_da%|lkqPM6p@v?kqwCASQJa0w@6=b
zS4I(Ks!Y|ed6AGk{bdU+b$~=&plVy79j^%=_xJpfV>xl`^_PjwukBQ1Vqr(2VYf-!
z3ztv(hPjuoK2{M8y~rUK3^j|&WjR$rdmHB7+t0^gsa=`;ru!G0xg7dxAkVGd-#5yC
ztBn5ze^`QQ{}A}Kg{?BT+RTW*6}9M&$zKd@G~jmLK&$}v7ry)_&B4fM^Q^%b3tGvT
z$mVCT7IfKh>MXJcN~BvxhMPA!?mLjL>PmlglkdY$0ZU$>aEcP;(cCibYfN7Mu9G%x
zUnBXqXZ|`1UYEo&{cq)K`=IACpp9?frc(iiT{1^Jk#Qnda=H^aCXG}ZyuM<ctKtV1
z4#gVhB!?&R@W4syO%m+!*Ziwd`D&}xu)~N}4^jIz0_dI)mfP|Wb6qFUnh(8QLP{bG
z@(yMGXrtfc@zcJh(1=T(nY~L>BS$+cN2Fv%QfiV^lks#=O@PCHX%-VCZxWHvMVGML
z<39Eebcyvk?|jXKd>pTzmM*WRBELJ1R-n<NM?xMG`mrX;KQusxGGQf`Ob5WV<o>r;
z!L<XZ^aEkYS?g|=Sjd?LGnbGLA;&8-9)Xa_koE#Ekb<G5<b?+V!C-{T=|}u-Ubn0B
zQ#G$_yu116+sgW?1+sh*=rQQqUv?c-cqqRQCGIlKLXR9MTLiE-BuX2El6yvPA;`>C
zJcD|z-rEmetD<5;C?-z0!mMMYRTWdQ%G)5yjQ#9#-J=ZJO^zHwx^t0?%c>4zawCit
z$Z#|4e!KTpGmTot--9fDzc_)i`Kdd#tj8KfX%JC^N2_X3BNa@Q=;EEoAboAL4B}_3
zwvYC|>4(mwD6yFh*bys#tJGo=D8<9D-6#c%w`_~Ckri2ZGhE+&aU-p^xpOm+jXvym
z<vV^jup7b?p|Ls5VEZqi3rcw$HF<<&PJ@hYDXxD#c5F;;CAZDxTc<CWqu&F*x&z1G
zz@;04-yy1*$a{z;wYKWkC+wjjE`(<YoRK)r=eG5lWFCQ@w8JdW+5Ni{Eg=*BysL|b
zU6zzAxQM=p<Lds`)q$%hb1Yc5J5ZO_XI~5p@pe<8ydW)Wn<ylEHc^G%v>julPPX!@
z3mi!r3@g%4sF(gl@-MuO9yd~&s3225RQiL@o`3u66ZLg__phEdDE%(Wa)j*%;7+gl
zdQDJ3uih^l$B`oL<U%D(1&vRKee3s})nAR#`Z$ElbF+ITa~gy9!q6UmU*>dQEMQqL
zYTHkJMcFw2Nh!n0N?C=c5@&4k%FF)B#f`v;|7M(K5I%d)eP`OL)x%7D^?Mif1#6ul
znRucF3RaYZSHTQEC(NQI$_#usA|73zdvL7n)T@{J0p3;?^SM&#$k~b)bf~BmsZKlj
zn_PQmRdIV^G~w_b>w3WdO}*Rm<@ZDbqmR@hhoe>f%aqP_)R31b2H%Ijym3nkH9-;(
z|8O7>6KE!0JzLxR@&|kb`8)%2+V52RkcF*DcaVfHZ_9lvMvZu3Dm!XV>NsK|eK|xT
z1kQG@JTaJ|ktrPM()RRLRr5K~*g2TfF^ngY<c*j8s8y;KYQ)-{QBa`wLyICJmg#bl
zrR`}p-A@CpU)9|&rM;NxnaYO?opZ=x)v9v5S6P%y)#yuUFZ0C@tX)KzJw9;(gZC>8
znswK99HO&jI7zV!B5=pkX3H3BosWE<H0G7`<C<FF$XBetsH+q*<<9)F=!G|*=Qzhk
zY0l;p*qZ;+4XS(i`EB1n;8aj?G!jc`%pzvy|8OzAXgD_9m-+);9@<NIzvY**_VP=v
z{N|8EIAFhbK2Zmd$Xl7}tz}?u2A1LfsKxB>vxRl%zt(&!s!4J3wIB^7|C2w(Dx=){
zcO7M#=Yjdfi3tbx5UoUS7Cd+I^&L$FeAmLIIcOdIj@Su9dFhICPvU`|;}E%ZmquVQ
z7TvY%*@(J%L8mfxLs#;}pU8Cl8A{l%>icYWlE-k-(L63mY3cd+E*YF}ZpSFa56p9!
z0e@Zcu3}vHM|;D>ipew}kt5r-$0S9%Hk%72{{oxrY5!<%dB_GWEo6PMLCBQ_Q|UGU
zfY@zuYP;GGM^7Njo@1guRHkuMeb<P1uH?f|(KJP!TO6!(=@_OPgyRm5t1!mOQq2>7
zt7z^gbYh&xo*Tm--YZ%{J1>v6_R)-K=oxb=&LNak-2v0U-gE@oN`c;;Fg**_5XXb?
z26G#kVFw4YLs<6)Ip`X{c1Td*_l(bF6}<kK#J$V|Shk2#(GECzvMTFQi9LTbsc<Lf
z?}&PRfVZiDktp^XTS3RSvvlLo`Nu&>QWeP?(*Y>HhUmZ89)gg39CBUzTxRtDtgAUD
zfENAe`;*_j+BA;RW5m{99N9nYG;yVpD~bsQ+5Tec?d==SRh@XB6*4IrwNtjJMOrR^
z^}``;&wec^4dOay6#`z|13F?g61XpVFG4fV$iZA6;1(j$lGG||!?wVhZ=g8sR~#E6
zMc`mkxQ8jTM8(RFYxKZLi=LNCg`rhw^!=l1bdvtq>4rO+s_dWBUefs?j4hiqI{2^I
z0UKI#lpbBbIJr;bitwXD^nnZiDq@JCA&VaxWZ&lB5}}?jYV^kfa@qAdZ-naa=sDeM
zuys<B5br6g1dT7vMpaVeC!w@5pC>glnOE<RpSh2=#pHtSdHFtZK>~*lWXmOoM<D5s
zv$b3B^2A>qqVN1X?p#y|s2J7Vb&!aTuoE8xG8Co0ffc>vCzOo#+V^h99q_2-hFLLl
zwPuYLHlL!+GL%{3-1wuShzzSluqO+i>J`Y|KN{0P0hZ@hOH3n&eLEuuFmcejZScY1
zqvqJUowYk^bD0-h;rSy3X=OPbaI(}JUdN?<6O%A~+th!&oXCZ1{3Cld#-+x+`Gd)1
z*6O~hsEt{<)tpiwZ3BBikFhNZ>DB;@@;FZmh&jO?Tu3|2(a2)G*0a2~s`;JZyWm(`
z)_Iir<!1TF(j&f<{d`7u3>ucR&#_^L7u@x8FQe{_4P!XqVqMt!n+<mv+<=c-2YFIp
z4$Bv(b0bPvgfY6NEKJyL9W4OeN<KsVCq}ocmRoILC{NpV2-wn-s_`MZ|2%8U6$Ock
z>eeX%No;Ei2=Kx5A`6R+8C%(wpOu2-jpDx+`>klN7}`=JSKj=&bW5M0Op+LFRmes$
z2RE6q$)rSIxo%>sT8+>}k!`2z+?^d=Iz#N4k@_6B$&epuSz@-cUbaGLST?F#Vw_gN
z$%4p`Iq%_wU42(y(bAz56n5yV&i0fQ&vQb{H(DPS<ppe~ilGF{lU<0|Uya&JA6Qn2
zYDMAZUBz{J;eHv}cxPea@_zBqPng29dmaJiNtFzPQA*VvgP~F6)+G2^N^w=Y%VeM-
zFo(6aGaq-o*R7VGk;M1mPcSNV_23#V*zRKMzuu@`6wkgY-SJVs&#plpN0f0L4mRA1
z+YmH)odyz;+h5}bD>3bj2|XQpG}ZGUI;&f=yarFlD>oyHDXG|Yl;#)saLvO(TTDlt
zpex$=(r?EG-d3E;J!&Y-JnlO=nW}J_56GsZ8;i68vpWrMYbCer%Dxd5leblxEN!Cu
zo@!aJ%a;muAG)27K7=82B-0GV!iRqAD4E_+RSTx;4((qfOgi3KfMBUg{?{B??6>5m
z2vkt4PwKNCo+odal3|87y8p6xIn>BgR8qXpz~(y=6Ee{~haF~7lj2Ps!_K=For|14
z+j)^)_gM9mb}Kc7@A+n1BWfqp)Z=M0a{5N9pRk<0&g(H&)~b2s2BkUmx}|#4PsiRb
z2EoYg7JY(el<{)i8XRqIP1?s0930PF?cMTfOP)%8OBt&#+2r;{xdc#N_JG*|dozw%
z!ii@0H5f^zQN*wExyE2mTCgx|@5!lu<`RtQ>H;0p*!aq`+Xrb|_`L^EMwtGKizmkb
zwJu=rVrs-cNnMOO-s0W6|J0YxNh2~5t@_WDvZVPa_`^AOa;KYE${l8|?KfSp?TVMB
z1zqSZ2q_4Soz0zJKyBaQp#;qIb9oqaMHUq_h`py^4qxfCgaj{ov6#$|5dy*>E6y=1
zh{%=3y2PD__ZEXYXUI~ma`6xo4VCRzhCu5N$INMG5=q^|?nGr8v6#Z$QNUPczd1v8
zU(_DpAujCbX&OHJ{+nA+uLwFdTQ_c7sHX#~+qnvH<&|<w<g=X%da#l1=v)*4i&yaa
z3Kf0xDX>+AUT`kzJS;%Yzmx`8LRF_J40i0*9DC`vsAjKf=3s+(-{)JfoT|i-pj;Gl
zHo9kN86m(}8IHCotZ5RkwRCoS&vpZ92%j7?c920$SABYV-MxY6*q=7Q%se4*{6#x>
zYwrE1yLJosBav3U2}S<+DcWXM(yZ}y3tO)Ex!W;?)U5H6{PT2G8Hs@Y>mAqSd%KzD
zH@>Hor_!1^MgaxtaOQ|_;(vRq-h>6FvxC#SZ!><GZBPP=#X~j(pX@e@{pD!}WVAXv
zL1&h_21FH7Wp9{vVu_-w;wy`j^pm*7l-q`k66z&$J0`2E3BMv@WC+pgnRtWjvukFJ
zd_pMbC_gDAp4d}NkKG`g+@;%yN(6TIbhJllCey8|nF_J_xfE{Ja-k};QuIv8k-I?;
z<fxzt`pjk2B?O&Kut4U=uX<bhw8{8?061#`j*exxlNG{K;}$&T?CQ9iy^bM{hy@Lq
z%dh_;3+^jP$;01=Ry6;8zKP+WxM((z$M}3MqL{xUWB>+x*{o6IyZQB7DJG2SYZ776
zAJju6_@ko>ien)j5~RyOAlvV58VdBI>T6`T05E##WnRmca6dk8T=83~N&O`vcbSw_
zsK0$Y153*yf;-h;B)S~}f)&fU41Dcq&rfSfz%?U9w{oGuATwPzTdO*+DO@e*Zlf!u
z7NMrN<O=Y@#~PwjPkq$^Kc^L(kdJV|lW(GTO{z!cw6Iyqs5u`#(n1H&6<!|{Y91IH
z9T==R#^PrkssH0NsN_JN<0hmBO*(%Uh~2~lidB)Z0?@b!14f15cC;#hb4y9!gM_H#
z`Se<?vHHPsZg<(7jgX`t#q~Nk>ka-A9;v(vjRlKB;!nnLlP1dH^}|cdo_%I339+zR
z<1-WU*%8qm)|S}d6OFpmwIMImc1xFL9eS5SBK?+0QW!={8}nwD9lwNcJ9nUmiQuii
zPuF%1X`}uVD?rd{Xw8QF-}?3`t8ouD%QjEHkqcLW7s0o|zQjG@zEb#8p~bk4+MU;P
zcAh6j&CM0H;zUh?|ELL&suK2}$_U+RIpPnhTzmE`Qk7YzAVj#qCzDYj{|WX08V4R{
zN3~|hW*YuCVNR2`w!LhztKHL4Y)A)yx{DW%&C~ci&kK?2FusrT=nZ7@wCa%5;aF|X
z<)ZqcA!g7faK&iOXOAGIC<FHE#V!-D&pA(1&I#NdiT~M0AlB3^9m%&KbCU41UX}kA
z)!gyShc1@dS-gsp(+G@aH+rd9wMY<|xHZ?x*pJ8kfsU|fuz_+uNQGrcBaa|6sMTBY
zfCM+3tubx1^F`Q^@A~^}=#kMs))Hy0%IOdZcxQb5>}~wt)lZpn2Lbfk8<AZGi63Qn
z_r$zH!b0I>oHqF{vs!^&m!fUavZ7r={3nDGzwSv!;sXLZuSjBgd=d+kaDJvo8G+J$
zDR4U-yvmPon_^r0NnPDv@D9!p#LTW-HjT%p?-h~os6I;dSaoN<_Xl%jdU?^>0TOPO
zpJ&5{*pDo5U;&cpg})br>-SNwqEnu?=^Wd<2*cH08)<SJF~VCC`VrG*yEL3WmS@u6
zO_3++mmiO}AyLQ~06iFvPd8kO?}>8MlejfqTexM8`8*d3Vd@-$KXG=H#G=2|yQ$_N
ziRb<+{gc4W_!Q#bwAudvlz!r+lqJoYu_<Erg3Q0m#UmA|bNTUYh7a&zzrzzDsw>j~
zpQon3aW-a7a30p@NP39Ngys-p9x2Dtms7bLKR1PqK#!nQ=J*1)0~J-~URE-jG2r}@
zif(-T=(KsTz{(14>hkc)>x1T16at<vy_8>eZ>`H{yd^Ge^zdgCwY(%u3%POwMUxcA
z%)42Eb#89-qVc+lQP@R}ls}iFIa^&pMP*bDM*~agRxUU|XiJ@|NZ1}h-RzI<szU--
z;(&L6hCz3~5r`*!%om}sB`--u11W#sK-5!$(oP<cm`pOos^zqh2V_O`4}NS|4S9-@
zi21)DsCce=sEh=mP7KdYm6NZ;uVx-RhI)t<4myW}wC-+sO+RyrL_IQHJ&pTOpZ{|f
z+Utz1EJpar`#U#iA7=E9f_H#bL8H(tnG6-HM_PA|AlmK@H+*pJ*b+HRH@bE?HxTJi
ziAmyG%yh?95$<48&~oqNRkDgsvjM=W%z^b5`z$W`$?3hLpM1ta&OApJ+;$5~{;eD^
z5_?40SJ#L%MI)Prm_w^tKpcH#@(g!{7g^XmH-N|mtB1Zn);OZ9@ae@DKj$LiN@ZVk
z>}CDdgYH*jvvxd9rvLJ?dx8H(1$u^#`LR6dI3EWX<Ua+|MlP{!L+9vJ;-**5uJ4Z7
zd0rE0AI%o7hJ~T``xiRtU#|EqIW6`zO8yTVapKZ6=J2V*f;b_7?GI0FGScpJQ;(Pv
z9mj1?3`~>W5>|){lhd%TD3KyZ-x$SUHaAtG18Pigi@{pV@eN8;2;C#b3Ep+DFQkqe
zRX-7a5X{)^+U;T-;+^$kS%{wBL<7BH{-RC1i!==-u%Qw{hndKG_p^<`qoY-NI3CSZ
zK~iR~b8UvbC5MU<*E&dK-GRr@hLgkazwqRil*Wzk$O~BD2(TlgtB`1NSK}T4K98zQ
zrmMB(rbHJuu8K6$>NVLRf@&WI-LQcEE^C}Y1?HqiqNbtQ>Kk;?)WBUOPH@Z<Z)VP&
z1dBMArZZ1>(#umlJywuzC!B!!Mw|D>V0J!@UcYKkjxOlc3#+UE^<p>J&2-$Sj&6d4
z9VzeoWVg}dOQ*D*jtKJR@|wnH{WhTgCbk7HE#1#E;{sb&lP?2K(+wqj<_ZIA{x_H*
z<*s^tN4t|dxYe{@Mbg%(QJ%m&yK1kWnbwj>O+^J8&J@Izel0OIfDLV_eD(UZIWkoh
zGlDewxIcR2<b><y_SPxd6xGNip^!$uy`bQUm6esV&{0Eg^*s3I<|f9<)pdd(-A{t%
z&tw8*H<-~c;;4kFFG&3Roq#J8GKON`ry^>2;&erORGe$vv$y}`>Oet~E{5NEj@`>&
zv1T2R!tF(c(#^d@C~O9(*-vkV=A?6&9EVTd&<5ua$rggrX{78dNnhO8A{!5u7|AMr
z8VR@*f5CY%Vn%9eqeqQrUOdX;>iJ_T4B4(AA(&*nr1(+(=%ZI^BA{j<%cWU(Q^u`7
z3MdjIC}-%38a-!+*#_2T<}k;`UJ*8kL$+VM-&AxWLq9ro(*e1r1iMV>xhBcRl-d^D
zrg3civ<CK_*+;VOJ^z==d#w|#u22aaXGZ8Snk5|Kx#~xHc6Js%$0oG7c>LuHQ_KCu
zqLA}iAnnb_$Os%cOhCxvAdMCfEyKwne!Z>K#vibitn1k9A<qCr=mF>Zm~(xDlbAIq
zezmdO(Gkr~Pp@yKn)dEjv^%mq;7i~%h5voUjz1%VGdwDB|EL^|mGt$fAQa^$)2K>Y
z=8H4kvuKgSdSnk9O!d(IvB9zAfq(G|)VuPNJ|-)zV=phBmBPo_>K9r#T+l3blJVz*
zI_@J8t>-h7uaB}V6DLpHKOKflZbRxgmMc`a0sDtwe|Jbpd)PYWHck96bf?7ED{mnp
z>J{Gc@4gd!cZz_H7B~l1k8%ArVs_ch>&wsRc6+>a_NMp}UyqG_L(+QViFdQJufcn>
zcdN=lbFdgY-9GGo<g`vdgr}1Jbs!_G(#j>%FwOi9ohLg$Bgl){2*dxc%b;VP3NMWI
zc<WDLv8X~j41UWwbH8Y?mP7u9wh}`PVrL|Zc4mW@V>UCZXK{tDe*8!zTS;Orl&xM+
zQ$svkVcG|aCMCoQ8(Ud%#Oy!i{r>Z(^1)oyliQ0!UVn8)b#p>!QT)P!!N!hX*P9D&
z35mF~ozab%GQ;r6IY21J)2BG&dU7`N#pj%o!xPADjf6bxsGj-ErB@G~cxX!;cg>gT
zaNlFhr%(G3?KPFge2HD2x$~V~SS1L?RLmAa4fGr&*&;fa)2Zhh2|HBZC>ghC5c$oW
zyrXSdMr}kT8DF(afIjpTDL{9veD9unQ|(s!rF!p{gm&eXN9=x!{!7Kn%U@4~w6{A0
zV5M*kMbeY;6VwmIAIb8YuPP?JeR;^bS9k>Rki;2X*ap`I%S^k=(`|;7@;SQq&f;f4
z&>|~Y{IbmU%}c-}c1%G(o!ex@(hv?ZX<FK2P2}KpnKR#EaLqj?GAx~A-|pV#3;o}G
z{{P$95!C$59+_5}m4VrYjLTF|KRH@%M%<l^QbNiidnV-ilZ)!>Ns$T4;RN8L4dm39
zgZUZ^&X$v|CpB@%VF=E96O8l`dUf6x^ER<8(Kk0AmKt2T2@)B9<^T9G<qXWUm{j>2
zBr6jWP*wDER`j5N&YKVmD*~!DY1ygV0Nq=Klfe<geqiBPHYrB^bk~N_oqTBIU=aXn
z^_F9P1ZM;5Q^VjGfo-=O1a15r%#<#@D83xk;y`q})83cwsWZf#BcEP@g`yh?vHpgD
z%`1<-EjhPIvk^{zQL(J&k=&$3>fC8jzfL95kT75&lH6Am#o*7K*kQ`mF4SjHo4PMt
z29yO~h#uuewQpzb;?&8%i-DOecOAe9py_<j`NDO;2%gCoGF2PIFmJ!nJ!2M?(;s|k
zu_&#lqPM2b6CGWOzjoRQM^s#&ypQ+?o<Lzd`HeR7ia{W|%~bM}=%vKL2hX~O+l<Y>
zRHX3-s3edPnd|4t{0s^*OI>iRl)qeEK!a^^&r^mVtl<nUL~!bqJ4hpdP(H)^?a~@e
zRAmCrMoJ3sN8JQ_?Wfn^^gcB;HHEuS%<;u~C*8!k&@ZWm!GU*~<8|E6^sapw`}%fV
z*G5g3MlrGQA0kY11Fh^SNS*ND?YG4iR~7BIU@F*R?9LC^j=?(*m53k0LpvpA*ln%s
zK_y8$F1{z?z5-V|3h1i&Lsi5&h?gy%XU7PW(bX|OU$oKb0Lsysw(!d4PcKnDb4dpa
zSR5spO2EQ8sge&ue58GCQ}Y|{l?sb#^nANypV<{$njzegV5ev=nnA!x$pZ@n?0Pw_
z3A)D?KEP@o+x1*C<d<lQPJcFp;BauHGb$kW9d=AnCyPoXK#&Uf?<M4C3T5-1MzX7u
zQuP)$Ak!<Zcw8-(D?y%JwL7BDQ=Xcy)VoaDDM#Ko4hDPn_QX7MHC3r-G_9G%^`5mB
z#usD|qne^8PB>Hh|720*J8$=bXqD~9ijy{e^GfSt=Hg3^6BW)@OUzdILGq$?lHi>7
zSM^ZK`phuztDskMkOATp4`gcW(8*3U9nqi&Qk_T6G(rNq16dAOGI;-RwSASv*5-{q
zNuEB|Qj`+AOm*aF$@CAFm3N8L{_RnLS)SYN{NfnxQBw;N*3iW5DwlD2-><dQlGb-U
ztH@L1D2RK=>g?+Jn@Tv|B}9?e_Xq}g`-NkNU_3s0cD?%{V~5~W!TIYA$@%DVhZ?Y<
znfv{-4TKi-(~==VjOQ9BeES0uK*>9NC1hWx8WMcC|Gra?Ztj*4AJyxdlYHh_lkL+x
zr8bro;1fj|uwrfXv<f|G2n?(`*F|0?IiqV>#*N*`!9iTEbORRK)rM8f@Tajb$^!Px
z2>q-PICf|289IQ{le=f`sV-ae5|tNrV-Q>aib(v@i4_!{OGZcnGs23S17k0azaH{7
zT#}e$%kc8EP(996Fn_q^8I?S{5OgSrXAMfGdp;WEI+8x9{JZ3yB?yC%EB9<@5TmRj
zo-HVu;rUMX^@oz3HRX@fZPap7qpcW(6Medwf!A5}DGEXSgi%&9bl;(5Y{R}E0|+!x
z=<-Xz_|38BtmGX&mq)FwvCm%ha`Es4BU2;}7HYBi`Aa)S+SHh<FkwXWF31@T3`sBP
zLmIw+$3kYz^8*R}tw0mGn<OfwVGT)E0ozxb+Kz+wbPAbn{>XTy9hW`BrIG41H{UFO
zcS^>SO0><@LhqFUfzxBD2iyVSuMQgoT)FY69HJ&mCh;SNvJHF^u~7S`$0oZ9kG{dE
zm6VDLzpe)#VHV6<B!iiYaM;m=?3}R&CjHryE8kt&O&)!vR-O{r0QeG>BhD|#BIFVO
z`@JYa`+m{u+q%yX+X_l13?*V3)_}&GU9HdYb~D<WW60ZPDlp_yw9Iis`%@>~v5#hw
zn?{b?RwGC5DCJJhweQ_$2SNCTN86hNJRZ-qpH5Gb60A#%mALEHNjH;6fr&4z$4Lj*
zbT_lu4HDkHFf;6b<~@Gl%)9duMK>;ktMPWXY&3>F@7;4F3!#uQ{>61$$r#8it7SGd
zKxjpV?y1V7l}H@%5Z5;MPAU$|ra9ZXK(nd2J37@KAT65cWv5D15tqs0k+9&bg~xU~
ztMFyvfLre50A2jeQayFV#<!)N(;X?{<4w@g&}fjxmh@6#lECWiz{!^Q=j(X|Ngw-(
zCrtz44icm3xt_y25`Oo~mKd(Yc(cAoNp5N*ve%&eTpz*pprsyJfzi&|oUV+>o>P3~
zQ=f?NaB7yTpOR8%G!P+>K&X++lfj58#kUjjeBMv!XJO;F)4HbQ(UCB1P4)ceXe~=A
z+&`n^F#BBFW2Ac*kva4_#p>kyFQr8X$Wr<&{oWGs(ndE*Hhx;1s5qGPrMD_=kqH>`
zi%QZjAM`qpUBK#`cBEF48sR@{N#QgeIzt3e{=%|T?%=Zu2b23c=~9&fXdbtH@$ay?
zahjMBgOjNVF@2S-JoZAbhyj5xMDzL7!0ql#?VMSGUh2>7G01Yr&+kkz5#cW4AMjFl
zG$1VF==DW-^D$JU3K|7AU$9AX4ESz6KhyhS;;y{GVg4{q)f{ST4b=Ij)pMrBcV$o|
z-aw-!0i3AO1PyaOeB7wpxRNN`Tp~_X&oPXMh&Zm9>1{VeGk!^KjVsM#?eEkU8E!=V
zm=BIPMnrJ#YzN`nU<rvD_8h2ER2_gMEUKF00&#C;fMTR|W}+LujLlxOeVpu#t#|cz
zS7q4fgdSUHa5Q#zv7e*_@`~iARI9Ri5BhV8<z3^q=m+<Gdt4IHGFcVo9?WjgY$a2P
zI2kLp>RQpnlGO;`&oPqoFSS*_1m~FE1$!el`9=@kr{^J-n0H<WFfsgh7Qp({)F*^p
z{%`WIqu*~CpC4aZ66$nY`{Vf<#IIWC)L-k%!f%F5O&zzdcjp9YP_DB$9PI5?k^85u
zyZ)`Bz5h}2XxmMr=OlHnnyB-*zMSVLm2uM9?`7YWz>i;tqN3(r(3QzaE@`~__<LBe
z1Kv|sQcx*PHa$HZ4<^Eva(kp>F>3ulf}9~HNcWtfSTEF!H(bUQTGWu;5V6%{Nj|7?
z<G9>pB^1rf%#0l0_BKXQ4)S(z=lQMv%FyEAtp3B5vQcVVSnTyAQnt&uHH_l6qcIE#
z%vwdp(B%XeT38!80pB#eQqeCwDl(P;&ft9RV2K*7z&CSbf?kfSa`ns{A1{VGye3r8
zXh<lq<8MD`EPQ^nDubsE_4-|I4KzH{+RRpbUkX%1c;K+N^q_jmrs<Kvl-vo%54?L{
zTUHJSplz&kLpu)1)GxFcBu4wJxf3bm!~}yyj{S$^z9e#TeirEPCwHQq$Zd#e-}AP=
zKFiAT$!v`Z$havt&nQDIjssJ!(6J5RQfIz|#t6D{dAHrDFD|Z@D9qksc=DyYoK+B~
zekfMO6MhN(D?7@E)OAFGb&J263HI=;tjm%sM~bE}XbU%sA%OhVWJ7}z5aEUIIvLVG
z8duOjPy`nb_brS?MM#@a$yK#HtCQ+sNwE1H#ww)4GJ<#lmu(o)B@Vo%mNyB2sX^LS
zDz+tRofw~^Z8mDPF(k>CJB95?A-k921Fz>T&SH%eTjr7VG`{!n^eA=ay^>=&A~V-#
zcy`(8Cab#9`b)tw4%(*gAHM#sD#hWoJj9KThjn0w#K!UE%P7S5jIaH5Q7N->V+%@3
zf4J0hvnBs5eDms9sbnWA`8ATDtA$!SukCc3lMtG_zu@WunU;9b&)IJU@k3kwilX;&
zb{=z<R>29o9&QA&Op1f=2O)7<99DP}sk8h1GrX5I+Nss}`k_TaxmKpz54!JY7UGGn
zL{MFiGFJ<KZk(dWJsfQBD>=m64hi!3zK|>Y0eZc)h54bq=ka1(-?G=*<)dk@JYCUO
z_?eR1`(%U|L<0Y(8+84^*m~*HqC|t10d*(gV6>7Y(q!#V(RcGmu9MDoVkma9NSWp*
z7E7$t-m$|A5P$+EdISd_mM)&B{)N8bZ4{ro<)%mWI_SkzN*(zvQR0=q+KBk|bVS1r
zgN8|dprwE2b)yscg1q$mx2HbW#+w|!%82Zp!_?sc2eI(g-|~r>Dh0f6J9Qx~In`^X
zGu|i6>(31a{Z1D4mKY@=U*<Ua99tJAa*mtUa2u(Xp7GV#()FcNHiw;u;U`Eua=7j}
zcC0GsHa@w?!)Ce2wN!9nGxBLi*F}$Be*MXL17_jSTTuG@VACi`zKt*ClGpkW#k)QK
zk0TJp8xJrUB9y)<UY$lEaO<{a;5_LkCX9l-YUb*NgtltZ#U2Ojj;;Og{ajxxbQ=&R
zoN26NDjOC0_NMGe#QGSp-Dq6;Bag;xMHA1hrd^JF!h!3r$bS|<Ije~%#8B1HsMzza
z|4vt>s+!S~?)Q6IHx^_@_-W`iH6%H}`E*-1)RNFmKC7&(jNhmg{=$EX={7;tEUNJe
zSwH<LH&adh$&r%_Wh^W<91w5NIK3z7_kTVFcdi{8M-k8_lG0%gX3|fJv-%DCoi;SY
zlLGaojV01K`3aM(68o&$N~S~8`Mf8PrRfaxZ_sFd*5u7mK27E>8L!@P>|*X@LGrM9
z-Kx;jDQZ)`X7EU6?;Cg81oEA<=)1_M#%P+9WAWf|(#x3KM&|z)u$;YGFKViHcDSK?
zn!o%hv@GqVTAtI9NG_$0vx_+4HA9ySMeD9RpieLBFom$_d7O=R);h3v<MP%b$LTby
zK6z9a1ErtN!Sq`uY9)Hbn-631iB~;dL_16$$)b0hefgrU-3e`ab>=#|JbZpG#a!zR
zv70P?2)XAs!6!8(KCC@dm<lb};&LqzOgt1v3K0xoZ-2x>06J_vv!DA2ZL*+$_Qzz<
z5~@!(hh7NDz6k5t?-{Yjp~3f5pN{Un(VFEr8Qu$@d=vhhX`4SdD(;PM+lId+r!$u4
z2tjpy7&yy80_!4gbw~Kyy)i))lrynOHz#6HDZ7Z=8OUgGuPi6H(H?l}kPG<elg1Qh
ztZzEy>hcq+bo<q8bCHVBspzleKAHe~%pPR5>y<3?UPWclIRATOv!K&T4{`#B%UTDD
zY=4SVzg6x;-_lYR0(YV{xB_#v8W|o}O3S12$m2-ZB%c7((g*#7GntfqS%s7V^$#yI
zG5fu3{8{N{)y6k7>&E+Lasz$iw_N8CzKThN?A)nJ8&0Dh>lD!o_u|V5FSqd?_uQJt
z4PN(JD9<uQv|RD8-uH5_Hk9gYbMOLRf#lo@sdSk~$q|IhI=Wl~EKt7at@%>C9A3}1
z_o-d);h0p=l`db%jB}f^K!vx-@^N?Zbry4~;r$YCyNCO{-dY@LC782n&QL`NDMD>%
zkVz6E=d6yH0glf%$Mx1>ru-O)jW5rC-3`HZI?v|GqfRvYPW}75_>XpmuG(P=v(9Rn
zRYHq+bjAj<iC#g8L}2xP`;7xB=IqIh{&OVt?;_;ciaQ&0+%@k(_J$@Pv4@jC24vkF
zo!)y#B%|)U5qiH}bMex~GN)j>k){6FvrS^J&E1F5nG*$x1+#cb#V?N-3+r{GJ5G06
zrWYbEO3;oJrA8#hF^&}#k4@E3w{Iop`%d>u8Z{0LpMjapBreOgeA@n$10V6v;+2_9
zw6x5H{O<kR5jF6f9BOxWce3)Ot;)8&riNgc_#JZKDp~O1c!8qJ)ron*Zq}WVelJ}m
zEbkB17s6Phx72<*IZm$_M|Na$tzXlSA<yFI;Lw_F4!#AVG^ckto0{foEjf<ni1(6h
z?O^g)@99v-%h9d!z4B9iW-o$jca2uNw`RYFa<(^Z%h5}8;P|y80I_VNMR*PmcsNm6
z+NJ8Oxc-V6Eh+LNDgMl6sD)i->z+{%0pJwyR!=_5kGt+FqJF?h=*k}a)j5!NNlq_n
z<8F!hLB&vy71er|>@e0}HSdhmNi^nIqTWB?c#y`_-|sD%;jb=BJ9TIz`Ib41veqB#
zfN0q~ECR!xE2Xn4QApdJ{PAE$%n{+?(;xN}3sy0Gr8zhR5l)cz@N&wvUbXY_9+lc$
za`9gO<(1RDMvA_N20ewzJfrIN5UgG{rJFpHs1_$p$OTFLnv(3AN6;Niml<)wRC-_W
z9j$-a=WQ<Yr!GHi%=7UfKoMW1mQ$iZ<~ICaVa1CG)sBfs@+YOC3x0GU8#e)wC~eqg
z&ww2k;bmr}7zbU2+?y;3zlF$*ga(WO0zkd9r)NDaUbGY#;-aHNEGGr*bMo<Nre(<$
zcI$P<81$$Pn1AD{TQrv~6fw-?t@P0ejOvOUt0Qr<OE0UJ;=tf9L&v_buz<rozofv4
z?2pq#-B*(;)U6nd>UQ|8kk~XI28esV((_(H<L;wOrqG8&0X8aFQSVlF%&f1!XC+q-
zcml~u+u}GC%U%-!dALOku3crRG@$EIw&}w=38V5csvF;>*uUTXcJFV}>t`Rmf+}~%
z`X0A!2|v7b5CezX(m3lO?2AaHi(|O~Z;Z0l%;TniacD4bi6!^g(nYvB5jjW~Ge~a?
zH~sZfd=<1&Rjz6Uu?LPqrjlSA5pI2F?qv0-?v$dxJiFTt2~M?l9UC&M0L+Q;!(Gy(
z)sa0Tbp@48es|#^JET;wI_Iq>bwy8P7Q%mfy#LGLIai7{qlzS;FU%#@qUX%EAEA`G
zDG~D{Vt>(%DZdIs6H_@40q6;NpEATziCULJ9{5a*x+HJL<12kG9S@coC+GV9%-qE$
z<yb4JXyXY+z|fbbrYtdgh~%rpM34j@0Lip=PfY<NZVz}{&PGHP%Bz+*{h)68JvLFF
z$Npwi=UC9>J`#VMmZrTLs}u2JAroa4c!;ndbuMs1J3i?IWq%L2J8(Ss$}Sk*+Cq@Q
zin;0}@x@~97{|;LW<FH(Wt?|X-Y-qx)yQ6fgIi_ZCD+kMybW|su){3bVTT(Ko*_j%
zaSgzG(;7*&b=wdPE8En*usgbqi@5eLn9I22{P_*A){2MK=`lA@m=d?nA`b_||I!_L
zQMVagsmOZ;=0Jb#4Q}*pUWwNxt?7w^^*Y4#V%N0C%Bqa0`oGj_#r^tDA2d@J;w*W_
zG%>4A>v!Z=7_9}czD<Zy(_+}>3~5k`l8oXc44SLm;qTQ7jrFhm6x1p-9xJ#Ad-m&}
zN?S+o^GYVVs#kQ$zGmN)U+A}QWB5rwN3HZW47H5%ZScQuT8Ae`Vh|b+t3upbZ}XD+
zU@qYDwcNW+=5QtOVg~AO*D8JJSQI9Bf6xQ|1}LqY1*79rN$TsF2CKujP^%grHCaM;
zas#OUaJIL47xep48+uv2@jA|<2ZsN78A{}(HhB^^#K3y>&22;#M=Rmw2z{e{@~*N@
z?mK8a^snpgZmKz0AI$i!av0#u=m8JAaf$}p+b{5Y&oq?c)_v|8q|0-Rg0sSJHW`hw
zh2wNWa-YLlcg|c0C$Wjivf5$qyKM6*8=1z;?CmU6!}ypcT~yjUz~2LU{WK<NqR<Hk
zj1Bl<@cK+tp`ZEhTLBRoG0Z21+a&QCMb6==yaULY7JXHj=qDGcKF*=@Fvo3>(@-5B
z2cc&w?l>H`d)^;Vr`<G+e~&rerrxWWC9}Q#4EdpGZk{850#dM-|FS~|0z-Ffm(YDS
zOg0{3g>|Wt|DiFMSrF>IPMiY-$}=1t9PmNAqat7Am$J@rkosGRyAY}XLM@4+mB6S6
z1(9Xdj;~)QSBYW0W0hluSA(}3XnwRde6)M_E@n%5|JTOf#(`M5j;XaJb<wywL9_5G
z;$!DPQYYL3J2Ox_oYY=8YTMl92T?o5H+!Ieee`T=i|+|11A|9?%E%ghZ3V^Tg=kl=
zo1I0&Fo9opj`oVFTx>fbV-Al<Trn3ljSO98&t?}{lMQEHmu|@NmZJ0LU&5cfSfB3z
zm-{&=+m{T>=_q`>ZXP1Xjz2?|K+Y6{<1c6^(iM%it2WSJ8xjf{Miy@nFQGka_m5Ed
zLwGu>h_cZMcU^wy5oF#3)E9pu-a!$PqOT3ORE&X*H)PT|vrXh_>pdaqk6o2>F~<wD
zL=Afdf~f@bMM6o}m(Cm-w4cqfW#S^{epzK9p}ND#KsmSJa`r!-@)};yYm%tpWu>Q;
z4Q`AX(r}u>bh;|cvg*hhU88nw0(I!@%U2<CVoG%tdkg}%K4~g7j~HdmMuh^f^@`@>
z%p2}{-r2^>I`8)XIM)T}g0`VVEo!rsk##_5xakV0YdFv4&Yd<&XBH!kEerOFE>=)9
z<0M3u$}1>U9oRv9Jp#x)7UXn63Gi8@fft1zlkJN-fXS3m=B@SJ(T_`fflhUIbNx&Y
z_G^Aw<oAY!NmfHDBNp$>iDrvA)<bgI`*`^|A)W(-uePsYd1XUa)#FP$lfPaF%ya(y
zO2mi)DlG8wnTyJ`=j{Aeh31d6Z&y5p{I$XCKO-8Si`VPSvf1N_ltx2(pD%bV10sk0
zhy2yr_I(=d`BdK3v1?;rCjN=P@l2p;jXH;|(!NI+BilWJ$9N*qI!d{Z1bZqpohH**
zv*oE|vIr4m_L=9Da{*`ieD%YuXMU6CKeYUgCZfN$wIOVoO@5_kegEwGx%~PjH=&L^
zXhb`ZfL0GqwdsP~-=Ac?y&J2JHVAkw?^zc8mjz5cS6ls7nnzmekBv>8kUe&v(FBN4
zyhpyX<F4P1YMO1Ne$aw;KiS{~hYCa|UJC&y$Srxj6|O8}Af6unRrST+uxKl8<90oA
zpUs!yp&2vwy5_#Nb&ajG&Bh?~6vlhi5@_f)%LUk%=i?8V-{gC`T`_5%)p4~%_WeN3
zcG&&%@OV%{b7<V$^DGtE>Cx=toA!Xlp*{1N8t|4FpY~??ltcG^GW8$3BwcFx9-jmR
zEH7r<AtxrQH6QW;*l1TY*$|AkiMy=IpNW20+C~sTVK7AF@xiQQJ_v-qaVLa5H4;}q
zkSXo&8Z)b?soI;6n;zI|PD;=A-Mqp!pRLhSR^v5B@jvcSJv&sp(<n_j_#a&8Mr^Jp
zhpCTLXu90B&D3WSS+EEbth_;&CkEY<_kWve>QGU-rGM^hGl@WRt<HO#M4Ze;Qlz*O
zAr}sWCcUa1uX{GnK`X6e?EV%)NSD!s$)l!(s>=<98b=CX7>4by-*B$iSWjWKqAX_k
zD1!9;z*4(&A)gS$vg3wiQ8$VGJuZ%?WI$I*`P;5DFM&&TJ~TruN_##CyPRbTQ~r-}
zM$eNU3fgILYp(U#^82V>NrUWI-N$3E@8TS&jRDb|qs1=PBJ#Hgkbh5?N5DAIA1_&G
zmbRc7cW>8UKP6QnhFTh>IfPXnoT_S0AcOuEtl%L!ziTqrC%P<H@f|YbdOh$ZJ;CbM
zVl(p}P`gq5^$*+Z$fBSdezBSpEq_{mz10U<Oyg}6*K7S}wv`?_svS}{X<*crp<^yL
zE|9gi?Pob>s%H$)>w!dcqYR(}NnKP_u#p21&E+({vU!rkHF<pdTb@;rV&K-%Qyu5`
zwRc7h@<Ig;Fn;j@YnRVs`L_5#p6ZOF1Fq(}0kzHSGybs`b$8r@+KJ6yG)03)h^*;s
z#&~^ji^C=O;LPxOmXX+icai;Xt>-X|Xt4&TZSm?0hIC_<t;vpG1oS#HW^S~Wk*zjb
z44O8_rt1P_#RENhmG4~K#;$_vCiVm4tLOx+KZctv4M02}bFN{>JaG`3Y}hEzq8@~8
z$(_Mzsds=qmj&b9@6@ho1QGg12uqJm!qMFnK_t6-hRp{~O)-fe_gV7IFAC&}2vMOr
zs?Q}2C@}k{b*E3~N(=>$+}~UN4+Q-m-8Seo(;w{65Y8BXb-Fbu^!^tBY2hG@RdDK4
zjdataV?MoZArz*CZCG1dS30dq6tHA9L6JQIV@H2uU==j&c~Ai+&&d|H`&%9gTXOQ|
zZuP{f$Y_h2G#dukJ3bd+^MT_lj5L}-AS6h1fD7np2j<6j;tuT8!zT(8D%UXWN*<^I
zi0*41m6_Xj3B-v*zkKxYqVf-2PL#Jnyu)!P{>@6%4(f9NK-*<?T__6}<^FoG?+L2%
zCHxi!=9tj;4Q6XI%;+*@JUf|x47gZ1ds)sqd@7o}qHF!y${YU`3VPrPn)F!S+l&M2
z<|=VYO702eJPmD@a~fN^!cnZZk_V2ZMxlJ7#2I_@Io5*n%a%2J>zGbhuUU>;D@xDP
zMMg8<chZGFN2wOeA#F%LYP$4vvR?5y8aM;w1)(E8`ijHrxG_G6V)vTb;~2V3iB+Zw
zrpdgI+k11==Qvklkodw$#?c%#ecVT>_L1JmLNYvw5ODnpG}5Zky=^g!7R9kXVtp3T
zp7w1;=YLi>|LK!MK@*T?P#;IUM~dRUSL+dEG&F)PM92Z)ENpDDLZI-$EuMVD<|czB
zK|Nw@jKH#KC&y<brdS3+Tq*dD6uCxouBb2x&bC#(*ql5UX!Xkt+B*Mnb7;(I@XBsK
zz&aITG#eb+k^>WAx2bv^!_hIcPW*bb<}-DI@|ST<cLLce$MZrbc+GnKxVR_vnF|dZ
za1%~?>+E<%H5G2)+_e2V>svr<BESbnhi#?{)kyEG%XGhS`GehWZAbiMuQ8wtC59K$
znJB{)@i^CxS?I=MJ{4-g7;B2h(WRK!Ah0F}B}F$W!5xb_u%<#83FNKXu6OVrfNJl)
zpE|HuZ?bk<oxZ_o8NI{&7I&s(<cIOC*{?r_D+S^R>Mu$+1mE%&6MKq<SziW`YHePm
z_g&ty>c05#PamQOYY;9;6#KfAYeaK%GdDkf7*g@(<>TW^qkFGis*YwBm91xD(mOFh
z<harjWj9-%hqNfrF-6GG63bVq)CYN}{IPjfI$&OjaU4X2bBl3zD@9oe84q1qC7Fgs
z24?1WlgWF#$EdGUN8Iy|D?+opmhcQ9Rk6P+ZTOw$w$AgXl7klaq+8nw9jyAsL?@;5
zt^}AM^m=A_%>#2d(aY>~$uBJ+Zvj3kc=-}bI2DtlUNIo_O{S)p`}k&&W^3Pi<Is`d
zIq$DiApx@MXE0aJqY*}zWPKPZv+mevDSY+h8Ukz`M5N5EIacQd<s;&3OCaT&B(mYt
z)|XG$Mf&qS6JIpowT2IkQ59l1Aua^8#b*;#G+Dk_ENtUeVVX#8FlW%lSr+$bDp^<Y
zHS)jnUe9}Y{f`}a07RvHL1dUv$d%or7-^x0H79<5KG{nJraKK$1KA}i^$5k00)bp2
zBG9@z0eT|C{IihBU5o!fimN!ZH(~rPL^S0Ua-8z;XV9KfU7LJr)pN937*377iqKJP
z=gYgDXwQ?>QHijW?>xLCo<<=N>W+<2op}b}q#L+!N7mvc{YA2bd@8~XsrGY+!9@X)
zisO<2_-9e9(B3DzY2tm+32a`C5AD+OpHr;o0qSqs0%xkbWAdCktSoR)oXV~x-O)Xe
zL)HbI(ni*8Uib|?zcA-X>~z9NU4!7jD$=xklgVM7MW485f9B#u(9A?=?pe6#A7M~K
zhf}&+o(ns9D#3}qJO!19ifg|t=DOvZi0b+6nFxtdw$2!VSE-xeuG_j7F>^fn2>mh*
z+L?<Fq_5y<Zb&3wUefhKptSJMTpX@g8B6{XW?2x-0TT7Hx;_em>xsB&VS9!8%xN<>
z2Kg>rWO8rcvc7rq<~eGO(A<A*@Qz->%Fwp&N(7R^(@*1*IJ7yAS`Ay>Efy-<GbB5U
z2VJ>yIwqEgL?W1XUu^G)pl{IR+IQ#OVAZ(NNg13ORMgfQ!Ax^Z%~}0*G5bn#Wev~C
z;Cp1@Kp*ZOW6_8?g7P@O;E_f*1vw56#a*wujgc#osn86U&v##=s=ne0kVTxQ?zA@3
zlr2ll+<#pRqT#Bza&N?cTy~|PiR(GRhW2K=0|S)Dy=1T!e{-%2VK0d5ZuMQhL&X#+
z`-W|BN*a$$x-MT{AldY{vjK!%4&`>coxd++B`aQ#R5%^E?Pq`gxqmVk#OcV)aZfQ2
zhwVIF*I9chR1J&mzhxtnUuSi9<zIk^Ug*uf{D%qqMCi}S>CwFW_4{|^kb=&kp_l=h
zl(Z;}Oh$@62sb@mbb%h6snn%xmL^M`=5Jv7spE#gSrfCI<JtOwj*pl5Xt>`NVUt6&
zrl}SxX907#4e&%C!?;P7cozifGZe^lA#4VD@aZb&HN>(xGeN5ElI9}CBIp#fB9C+r
zIJiRyzT(W}BZGgwCA$Et?G$#VTw*xz)B3QZyun4qYuOJ37FDU_8r%^f;~U6ko~~mo
zo|!HT&Isni=3dNOH2tIZY38PLu`I{Yc2^4DD5;`ZagcB;VnFDDi>hzbf_$i#H=zMa
z6#rz}zt{y>F-qN_?>0b+wU9jZ7b72r;=XE?h~ZoD>hA1*j+k+Q-24)uDEC=mOAHA`
z4-c~IpCQi4{F7QssIU0{;@Ae-{qycQKt;W1H(&hfugAOqCrBwZXOqZpXqb!aJ-u6y
z26fXBtTwnjA>~9y3lJ;Dfr4T<&kXii>b6_8_S>>|*ye|k^Wj-oS-HK37rl+&FMH6S
zc#m>$RF9ElZicCF^Ex!gOO5R-U@v!%(%9#lwU9Dj&bWNFdg>w!x_jMkFBUaEFF!QI
z4tXaWhl8D!Oo~B(OLFQj*rk;<U_Im+)xFMjYqIY1*$lrHYf{)=9c_;z?xuuH(S<Cc
zM4cASE)N!uPfR{@UhKjYVq+y3U7MLg1{iv0A^>Oo+q_D=BVBJjwZIojJSZ3s#_x0e
zYcst)?JuV}GDeizi;{Wbuegl6Ij5giF>lJm)SXhs6iV?#I0EZ$i}S4R9L2&_MKq+-
z+llhOwmeNq?_0ReV6L0aovtNj<}yrNe&+M628!$|<fq}+@4c9KH<zvw^D5&AF1!gW
z){?85<98>y*d$u+mDbrT@BhgvaAv@0Yu(=Z%)VqekL^qeZBy6#^qvjja9YyBe64qt
z7`UgjuOJ1D8oZ8}-47crCheQSEgjiS#MCngwncG0%0oY-d6pUX0}stIH|f||cs1Fy
zdEfh3L~2@J42bgWnCTgI^<&hv$CJ#vNIhufoxe_2&jjIq$D5vEe91ckVq)U$=dvrd
zr=6Vju7A;0c)Gi%$#^6sC4GrB*43T87qk=tDOg!CzIgHCxlEA2e@-pE08|hE|HIaK
zM>V-^Yk!M?H0iw)I)vW4^xjoKdPjPs3y5@*P(+j>O+Y|Yy7UeSMVg3GgisQC4@gJ&
zUiUfoj&t_?{)3E>kug@@tTor1&+~hDE>YqUEtXcd;XifT<1(uC+kQwSv$n#bMv23W
z<WpCVY~oxXY<_Omf@r<58kYF|J2LPEmg=XhG@XyyEl)WEN9MZ$WSz74PIBpnL<@58
zT(njZCdx9@5Xd&2cnaDO)-tT2_|bDQy3?O2GW^rCPRR9u3R6#`{Hl5POt+G4+Uolr
zGlti9@`0kE1-3d2;^4sn<qV{0(omFrw5F+kFnl?Z8M3wg@cCus4_IFOZISTLw+i}1
z>K*K-R;VUhQ$cKaa&1g46TT}0Z7<eXGxKv3Fbl4-+ds1dY<z(@X)w%Pq*TG`AM!4s
zG;>I#m@#?%00E?1CEZh0QSk%#vy{))$5;YGLi+Yk`!)j^O;!8#%O~BK8SFtk?>tbz
zcn4bXVj3Yg@%?)oX5jqD!HwyoPJ7>pw5=_$roqg&oKs&l&<YtQH?-3fogHH;b@X>`
z<9+s`hRt1`A4N2h@Sf?*r<~q@Eq*(@Sgi0;EkUBh8(kRF1;E!y8AvhIZ}d-!A}<(G
zy>=vHArj%U@yHeCRyRLKIjO`KyfHr=B=QG;Bp1s<Gk%D$qnA(bvV1WjCCwd<s2<9j
zCYsEhsW7zu{((0WEk`_W%9pu3yG0WJOLNLcuvdzx9|HwnH~LXT&9x=bdEGv<FiaMx
zI4MaMqc)o#8&LF`b#L@#3$?L{x0|ziKPE{5!|3~qrmAVIXq-xM{cPEl(4`I%?K?Y+
z0=g38%ii)a5%Ra(e>*mlbv_4W(JdiiAQ`_^LoV|FPvzDq_NQ{Id<HkP2Y*9TXBH;u
zP_5T+vs+_^oS~UD030yzur&!Go}$QG{qJ2YI)(Ru+s7+q?1u?$&v=0{K?adQ&w<`F
zduxvAl_0GDFz>;L5l_1Dj#P&4mENL#FP(T5_tq5Mz7zxE@C)?II<}*q4Ri9HCXeY_
zNjUZTc9{j5y3>c=o>6uBmrum}4Jm16AyBws-v62|2ATB9!bQs)pSnb{S*7iZL<}sR
ze_(weQGQl_m&2tl%#BuIQ&PCsM;=yffD{v@8n~g=$N24!VrHL+bZSqWanrUODTJ7D
z-3{+(#3aA;mu60=cVjDTa?Hs=)Lu;T73{{8tm9CI?14}rDPhQVon9IJ;Lmq*u)Z^W
zul@ZQErxYDY4^|aRTcgZf}x7HrU+D<)cK98YwKXSPwOw*#2Q5rr)tSzA8*tbuRjaN
z&0`I!T{+PE9_L0u$nrNnD7un^oo&CNl%pN;>2<1O)otYRTqN~F1|_T@ZF|OgUSRrO
z1)pnzm~*_W-ZGOTd@3YpQ&<as(4oQ1J|04*k8O)gciza~?!F(9>`Vukd}-IUpT*X$
zs`i^Ezs=i2zcHa=<deM22?wWBo6>fKo4skcTly9yD0NFGT0y31cK~c7qdpOuT1y2d
z<_{zvY*>|Co0P-lCzlbMl+78U(Qs96T&o9+zhPYN;Zj}-`<k@Mu>PQfAA8Z2*L-!(
zwu1)8oC->?`723048=_E$R6vq8y8X*j{adT>4vNS?h&bHuwGM;(%(1O|F{u{_7Zr%
z*8zjM<<;UA0A)RT!<07G$|sX4w36MsgQw}R-Jq$_YI5)hu&{BLoc{gxT;qGszE9Yg
z#>nKD=9TGy<#%3Jam??sl`_c;$ift_uX5B!_);06!EMmkcu^wS$43vB&M)>c2B?o4
zIX(lcwZ;aw+MuhBhybc=<CKGzwD+;@<WCY!?dSEhAwrMzNS6b5hY7;<42z#5yr?I9
zJR3yj`==xnE~hBZT^06(f^$?az-k8|O?1>;SCWP@)Xa|Azh)5SmynqZZ%zO`fn5&d
z2HncA0#lEW#mK6A70eZmY%L6L5JKPh-<R&2jUZ3$t7caUWf~IfQa|jU1BwOqCbX(>
zZOq7^64%&`y}x7uP{Wcftu>##+)^`v%5_@pDlvHe-+IAYD*7%RR9j0+R8cV*@G}7B
z5T%Dv0|Ntw(Fzb2?GjV-8l!+DHsYexzxl5-qBxn256mfhjSGEC)SK8}=!vy0{BQ~u
zPJLCHG~e$OEd3MSlwslxZC)#0`OrMa{8;@tspHe4^bsEa4_mJDfSQOYgU&wy&Af)L
zPb$x#x7*MjAF=&xY*%g>L7tNSuoWgqj@4QYz?V)w56-UDc|+>VCi2OU7!Pw($DJ&b
ztvN52)jdE3X_sjAwn28e+Cg6A^oOMumY9Gq2crq{=e+_ac0U^{=2bWJUeQp~?12=>
z3N5c{1~n}pD2|zSq(943V0z1Irj+$!uQhIGgnjo{@(kmqs^YQNyNkKad%p1{nPSu<
zqQZxXY@M=^|2L?mW(Zf>hKn}(ES5~U``fpd{P%c~TjDv%fJ%@mfM1IjLQSdesHv|5
zX)7w?_@fx>=;+{iQ(RVt@8jb$)8xknN+0BL{)YV5b+@~ZASw5AXEJgpwJtkf7RFzU
z+F|HXl84<$@ai4$m-nT1ypDGYCd(b4QYlQFTUNDwe}4TzQv0N&C6G-o!j#ru5ZR4`
zD$2pF3#3T{A1{A96ES6zhq-$J8Kw{JFm6gN^vS~5iBT;hl|CtLXV=Lg6D&i_z9k2O
zeY&(wABn)6YK~{~D@0`gHX2|c0IcFG*k$|<TlJ)=4V^zn_hzqfI7gMszyV(pGK}`K
zgdwhT)A$ORK7MUImfe}VxaJ%*NV2G^ob&dhavwcR>|MBu#uvJ>lCyz8CK1u?Gk(~x
zDlOvZ;BIeB66thm(OW^lH~(Mr$?iSQnq^=T&>0ySsWtPuHwZ*-Y-Hr*>G_2K0jTdh
ze0-$P)zp<4JUCdtXGcuHS?%oR)~`6du#gI9-7)JbH*%?LDx`qT9sDocLd_~Jf>5Bc
zRxw6JF6cR{4N>1`*t2gFX{py@{gNg+m;ki2vZVz_iLan`trf@7z!NxaK`jjRS}Yaq
zjY&JOL3wQy?)M_oRm`}?9OW9Gr`>S}aLCaC>cMMAtsJxccb6mIyD)1C9l?zsb~zMW
zIx&0;S;nrqRz^nhE;OA)|5d_c=Vph^(PQIzC?4t;$`Ca`4-+gAv&qqQ;4A34nQTj1
z|Ds3@k3Cb3{L6HlE)g^p5lq4|Y}D1NJr{xIyJoey90#1bxI=Sn>~y*AZXvWo!D|f0
zfgH0C){4$;o|2iMB|O<}P0Ol;j!#nrW2a3ji!$*jmw~U%U0YB8iJXYe*It54)Zcv+
z0?n3%pmEE}%MEwpsNYi6TKaN3hkARHQ0j7|rLidB7mmC4)2Pal6J$RwwX}_j>Y~VP
zYi%`HmWR-OG-+35GIam==er9f!SUh-LkmKGdl1Li(LMSC!}g5&2A-s#g<y|KNrT;L
z8y{v(D76NE7_gk-N%bUb3C_K(YOxG*dycmafPFR5;BT|kk2n)2l)@9ySfyWMAx=qR
z)ETv68j7w-bzf0u-v~~=rZC^V&roYwb}HMRI|CoJ`u@9eNP#2kE{B}}->Lk}H0b*|
z%f_dZ<$iC<CO+!ZNyn>kxbDa|SH-$lh$2cd&keAzD~BS4Zhxdv?|Bsja_6?{OiXDY
zfkH|y{j4OLw&61f09ungf=Tr4PnfnRk9f#<BUk+!^5RN9#3Px_n6viN9frm<io7cS
z`M{=fIovQcrq~2P6Ufs~`%{>jgLmIhByig|H#SZY^b!*j_ltpRsl@I0sKwJ%e*ZF8
z1iCF}%VbeWf9A2iO>;>jAh5nmeA2j4L4*?2CoF81V3W3*H$D0!Y@1*(+#dp&`1HKp
zo((M86695;zu<|3#-XYB#I>ZZ|A2w<i@s<Fbsw@wmy0e_tdqIC`Hi;ZhBnudYr0HM
z_e-a)u-#Jf4;pksc)boUR3;bi7qytIjoGc-<F8LFxz=lq-~RgW8TDv-WLdT+aN$}V
zp<gv6L+8-*IH}939Hw~`c1Dxr4-6SFS9pKZcr=skE~s|&TP?%|yTR3&^W$Nfqg)K9
z?;X-tPY=9bv!!s*z1&$XHDJ|sdqMK)-KJ#f^8Nq@jGv_*H$g?w3L`f1$|fe9w;eHR
z5a{s@YO1NLi_ri%o~X$AhIvQ`lFq2Rf*)FFmiyCq2NEfKVLEGmNnJNsoy=L7#3?Zm
zYp|&4-yhMQG-9G~$Uub5Ydqj7I+}Nr5ffg!`|#}OtL8RwTh{Xk{4b}~JK;|6X6DDc
zQNs_yPeySOOPuR$loWgktUh`U5`=>-iOe^;`5?K|uQ(^Ux;I01nL7c89fIp^z*TI$
z!}#R7hNdIS1z+yw#cyNDiM!t5cANtLrBkLYu1vB(xf~H8At|;sz!w?%`*_;0Jx-Cg
z60n}Fj~6Be+RgWhr)roDvOCquCagMW>;bO69PHZq`e;_1fynUJSQid}Tll9D*?>Dm
z6sFunmAEyGopv{7UkSq8T%9rQour5sN&$dWtM;%bDhslWY{G6d`^n?j2ZX1Bh<O0T
z2c&p#q~2E?jtTB)mcM3j+T?c0(F_j)>t{iD<1rytD|-U<PlvzK`)az@ka91Gf7VQ!
zbZozTa#9)D^9^eYwh4)If>aEo7Rum5eB@J4=~W?NV6A12_*49>ugKz%J1~?i^D#OM
z_T?qS+fXFDF^Iy+>-13D=HfSvJ-2H5v|X<bA??TE389^z0hBrJH#ikl<LRxJgyJ2A
z?6YCFa&jDr`bHk_b@sl88Cz1P;c=XbJAK?+`T)T9ho>k0d%yp)`KReRsB1cT*=itY
zDDK%Hd5sG+^ogU4T7G^Cg<`Rg3>7d=O>>|N;}Bn_;M6w_DLO~1V*VA+#u4Lx-|D=L
zaSkbVgXAD?QMYZ36nN;I&zhb8qB1`^OEV|VPUQxeT$q)GN6q<YR;h%E-Ps&JOF;#^
zZlb6Z2E+rK9U-wW<e}1ovGx7Y`R)j(%v$PQ@YANavDxjlFbHTI>0VpC!%yYD47tem
z+KC^&mLmP(XPLEoQRi*Xb_BEL$1$hTwywxZ^)5fJx{2__3-hdq%1gqejfg5gWO3+e
zBXOgAcK=CU(wr7#wiffdzW?qBA5j~^R71e9RskbU`kI}^N5jqYua;H06=(3Twq9n;
z)gtHQ6@DEtmA{Bc_rpg%#bEDScK2sik>pL=&pvGf(A)n!HG?Ih4Jn|=GLbQdk5)L<
z1U-ju5L$!dT3lI{8cyeO&~_f-l{-;JAlj&gb8D_+0HFjte@cW0obv=-XlmtollYsH
zJMJ}IWz1cj6Y(H<s9!MIa@6$??K8Fo*_3@Ylsj&BKA1XJlqmQfnvYb|7&IVzE4`zz
z>KQbCH^JX=C6cz~@~*FO7hDroSYg1(36Bh9iPC_yu#SIkkIDR|uH{ihDxE#=>^1xd
zORQj_b>lSZ$~2rx;pU5F3c9r>zizr4(mTF`-ZrO(Zh{MnOU|N7+s>l4virsbBF?PT
z2^QU>6`&<GClnHF>NCZk`+QdgV9e|HcjGx9rCn{RIEu9~>DXPeyp&mV+CebG+7r|B
zb2YB&Z^)qfH@NP7V$FpY1q@vEXCHGlH$K|`aR2AU0Z6dotl<ahj*gc_Vq#*^!&xFs
z6qZih8sN^5{Q_uSc3z&Oks~xqhbO}=5@`#@+jp^{NG%=AmxR#4lfa{`Qe^)_r}bvS
z`Ka<)yBpJ6Tjr^u{)`Cede&xKg_#^vo!?;Sxw*cC)92fD=QQ%{RDk3AIwgp+aztT2
zNZVKnM0{d9xbMt}@NTIK(Z9JNl-~r~8H_^mK)*(UMPH(+I2lhzQR)>ko@l-gF~<jT
zx8L8D;#eV#di+e`JX-bhmx}D-ed6TTGXpU}!r>HKn~Vjz>tB2Lh^Ebm<h1Tb=upUw
zt#iSg*nl|!GJeDwAc}9evGmDqFs_@d5O$+3NC2K@Ubu1ndz7uqKpXw|OLYLaBYs;Z
zJws88KTt+_@C+JBoyC-G(9<Vtr`Tj6Sv<%g=Q`Eqt35gK`oF||fBGxL1l~H!^27Y#
z-?j6-5)u;R6Cn-`f7RF5_lwN~hMJR;;9n;vjAE8$RAN@WJ+92dn&5GubG38<L_@rP
zFPhU2;(<?|>3TnE-qW4mnkyeaeD=LJXwE%+=am!%wka6|(GO}l$J5>40Ucs-m3JBY
zt9?(zpLWN?{K=8Z<LdF~N+Fxm(04+o)vKX*!}a*C8y%v4iAGehgF5+6Ua>x(Tyv;x
z<0mSDkO-Za-Rp!!Bg5&-hC@NpBWR!02kF@XE8)f(_n7dsygC(HX7Ya(&G=~F%}2ae
zzSG+-5}7-;_O*|0ILCfxWOYKW5aGw5j!lywJR4;HvO$<5+;<6r{_H|vu#J<L)Zc?Z
zV4+w44)_K>=p|AaU0*;)Bak~Q#>>h7=-j4(-y_So(uA)->%;G?!C#B`>ecD_JKC9I
zG>!hH(Bc;{A@T6_k51SR^uH}XmT>x6|H)sO^L=C6<plgO?T7Y3smfhX0BiG<YWL^s
z$=;y0;K{x0R3FXd)*w3Qs=AF)F_(Prhbtin<wI=i-k$HT<6{O#OB=+Kucp@4UPRxa
zeBk&U4O|+EP=NdNN7;;O3xQmo_#CbJU;KK^EcXO)Kj@j6Gw*$_1+o22+m>Ph%Ka~+
zt;_k8%X%8BcTh!!tK1%Zgv<RiB*Yy;B{1YpRoXbHKqqHf!=SO>ej9-HfFP>vue<E8
zs0M>!y%e;cs1p6vA;hGw3lX)jEOP(&+81wny1&u9`zHPAU6xp<;)o(9cO$R$ao)ge
zM1mNtoR;a?Xav#l%z<H(Bk>ELw%|+rY}<~enfPfhoHJ!-o|WF-Rm(SYrQZmi7+}rG
z1|;aA5KCQW54pQ!1JI|$VaTa=7nS<G>eDZN$vPtqG-4s6dUNx)%s0kNQ8)@LeJ2F)
z1?<DT{+1Ri7x#-Cd*+gl&57yM&NVF^gWQ?v`5Q%+%ue?;--;UFcHo45l5xymoTdQy
znA;m0UQD_G93<u4$D?Z=0FDzy#Ss}<@`qPv>JrqMrsp82fevayf4TLkIUXs+Ocb9i
z0aVrWrl((v)L%@Op5@uxeMJ@l!IzPe${`?xFv0n3%*<js!cX6vCwYLYH2H0Kf$iqS
z8R4+&)qDRS#ecPLXCC1cM-Qz(OY&XLB9(T2nofrczwN=sJh0nCc!mDP@(Q>8%(QHD
zg?|702Gp;Z**~6-D3Pe7R{A4BKXQRUk6x;lH-dmuKQgH_Yh+uUII>wBE1i(FpaG1K
zzC`};c+1%$U_u6Mc)<s|Jh~{u^E;YGCFhY_)RF+OQNCaW6HEh!hXoNU$N*b=Y%s=+
zWm@P$tb6_@1#{K&JdGKm={NNz?4N7@xLEU)Iw)*n{vopzW;Uj@<{Z9k<Dnk>l>Vd+
z-zDKEKWW+_mY}ZQnWw6kwG;0kM&B(s?;L5|Lz~=fXOjwQ+Golv7x~w8=ReOpkF7@{
z1W(W+V}Qz%TMLZ}S(KXXU0q$(nxWxn?(Af(?l^gKUQxS33h%R=@26zqsB(a?6)J{(
zQ{=6sLeHc#J3&hh&Lcd$y)|52ONkKM4HJRNe=GJ3c^sH~uQ~}r=g&UUr8-9W;5~yZ
zlYUF4p=ZkNzd0L|Lzq843v;Y#0paixFIp)N=I`bG#%bUWun2Ab*;01!>^t4QDk!77
z0UN;6G~;~wO*ewLF!i&uLlH|xav}M%)oaGox!ySe#Rt!bv;~bNCa2Yn#Ou}ODn1#I
zoek&?oCmyC&iioSl&W^XMlXXs?SO}7own3>kM;(4z!g)MI$xo?Z{9n(Aajp7;w-6+
z*PMm*J}p!^&2q?OmS%T|vN$4=RMhAoVmqq<y-Fo^=L+{_({<9ykEZm!bDD1*VJ?cu
zozE;o3Q_Ow*$|x;SuDw&;O7}?^T}7s&DSr{Gfve76ENBu{&Tn~o!s4uG#rF}l%#+o
zDTSIcmF#Vh>gwwKs^ItyT3XuVY;dn11X4>8k7NMH)F$;Ewi67Py%lCAWpb}Y7$<F8
zG9!(jPBue%BgtldUJr*`OF)}~nRb4a4xh$HxF(r5=NX}auvzSfFnLXjnh{X2M0-9Q
zneMdaIk>JhXni(6?jqr~n6ZE7ysD-%B$$;f-QVJdkodZuW|khg95>LjuVl>sN1~m&
zGf*&ii&-EtC)JVG-%!ZGzm}L7i`Q>FB2gboU7{aLZ_V6q<Mi_&N%Yckt;sz1Q_Bw1
z6R&a;z}{bMXvy5`12ox(>0wXhlh!4|l0_4opjBv7EtB~?LkIZ+P5ydV79WUA#GQOC
z(2U$qX|5k(sOWtc53zN@#3yb3zG`s!od<J5zFJL5Ld#UjV##x6EoJF}WVAAsdb%;s
zS!h8mb;+Q?U5Vk)#wDY&8Jq0#k&wt)#ZPn>R~Hmto1w?f6#-8baTsN=q3wY?$K34e
ztZ#JNI}L(-)3mz3)g!+0t+N_?&Tp1Xe5;j?0j5BPpK^7)Z>7tmA`CQ2OgaC8TU#1^
z&|u!%-0Z2eZZb%YQ!FSfl&K#2{A5WmHiB?aab;z(RRlr<qTkM~yJrOy-+q&GmFxgV
z|DnlZ{_v|v-8l3Y|G!j;dVqVDId$UYfcpUjhSv$p6~jvBnQgxlBsUsA;HpJ48`7?G
zRkLg5k9e97$Vp$(A<*}P9u1S$)v%S^898-IZDQs-;Ff^UwrnGKOKu3w1tlV8@v9~7
z(N$5+Mx-Xpy&4j2oV4|P<B_UhKu<jhJX^3_HDTtIr>0DSInKCW-foQ4k*a~<6{V78
zp}9-AEZ{(1b*X%$D|J>&ZVq-@of2h}-u(463OgN0pv4#bN=Eb%n%%qTWv|ElnkH-7
z5Vw|m^vIykJKx{DE7`yA?y*T5e@#MC>ffSmxqX@ef-qE%nV*pR%>4-uoC}%TIgv6?
z4{h>W-bJa%+1*bM4fiWSwFU#{-IP#Uz(s?gh7&~ya+SNcN;Zny+LCCrp`oFusHlfv
z0IGr0*Vo6BsixtqFH1WC2(J_sdninsm!v1DGVg>q0>oCX;xw5I;B#_y!$U-dpWw`$
zb(pGZLtf!+zihXZ)#Qb^6~xc+c?;EM=f|c~NtGhCbnI3{Okrok84eD-3Q)F2TmI#j
z$XLTT6g%;pl;+9u{bQ@|xVeTqFI}iE^O4y$1-(zi6U16!)hYQUeZhZKFn77<__Sx|
zxq|WF1+zO|xM-2pyNb=tKF5|GiaHw1y_cNAS8sWe_Dv--gQ0kPw0zWL6A$J!qnoqN
zk!ZC{=woogqN4-_t@vKZ=I=&w=%{jC0xYQu=$v?-_C+3W)3$%qOrN}^9VECYDC{!e
z2Won$9_&e8ks9zPQOx+36>NT$N-Wjh6?a8MCyGu@&2ml)I5tB|2Dc&r=m89|sG(!O
zr~@3Eeq6Tsr~iAT=BoZVHl;X%wx=~AS9;($5=vf<%Brd{Kz(fjmg}Qb6_b-A<bNn5
zBjf%|O%c$l0A&r(uP$nB{h2gk_ReUnD1K|o?{XvW@0-#b^tq0iFj0@O)P0a)x+Nvf
zvlP<g3Dbz8`a)kzdS2|N(vLMd9^ceUnnzo~Ti;r%;nWoY3Ie8UA6<TF;JRMxY4JCU
zbxLa7`kuD=no!GVWNGW{5};GMQ6mXB!7$73RrK|N4ATjW6xhrhX6M{hu-$3H{29ZS
zP7r__jx>6HJmY!Wh-f32*#SVK)7Ed>0AV&DETBJKG~?Q{*DFfJQu7W+$}$`my*Zs8
z{K(YRoBJ7;-^e`+Cn#NjS~nPyLx7}CTIZqHok$?TTi(%Nd%3$W{><qG-adYdTe2Ks
zrr2UA(TN8Od|uOW{g-_bGWYXgEB!zB@J77optM}eIl-1KcPWZgZZAusSwM=m+#P-U
zPdD1r%PWNdObX=XYI1c3?=k{Ps>gLH$aI@Wk33=XR!2|2`TfwndbfYedM*mcq7u46
zH3w4cuFUoJ>_b235I7blni9#$J3F^0H77;4aC4baYQIt!gTH(ohjVatWxv^qN{RTS
zY!$ybKO$5`^8FKO(0fv;Y>p)&Cov`X`O05wKulYMcxq3)aD?LFDYa2}#c!G-1XZa&
zGiaYVvA3%Mb{U*jQiE$35ZI$)wp1m&;S#N&Vq|eKE2Gdq85THcs@Mw(30X5ga}Y=!
zdM%l^6UEKR=aR>qX1sU$TB2ditM=K<Zlgb?iudZnv=(nxm7P*4|5x|>OdII-BFmTF
zdXQ+Du2`(SurF}A!aaho_cLfi=qk3m-X<v`B#9K_(c=9N&J0PAS??7eTe!0Jhr$aj
zc(Js8&v`?!Kq69%%(e7Jt30%+M=Mm#LNy;@ypgb|g<6m@a)NKhs^roX&3vKB1O<T@
z_5W&aP9S4b_7;b^ySp2vD^MhtLfHlUjQ*YfQ4>yR3CgDyRG7DPwW%>6=vJ^$5R;Wp
zfwM&FaG@<{taYPhpT89Mf}w_2dJ3$H%OaZeiWDBJhKQYHGT(bpQ=qv=iVj^R-pJ{I
z&zTpRbFub#M-T-J8wDDoT=UHFQSGm>x%#K(uR?$#^=;`daz9%#VP9(%Y3ryUI{!+d
z?BhV1E-N;KIfcvx9US8L1aCjB-#<j4hdz}CVJ>HrleBCCrAz#xD61I)>9$&Gu2i@L
zM7j2Zs|CHE{2t?{_u*+{C_))@mz94BeCuP;39(meJq>ViAJ~*71xd^!iNzS+UG8UR
z6KVSh+5p7|{T<ezP5FX<It3K+x)TtF5iA)7JkA>S6mV`eH4P_*PdxT*_ig@%1<-=v
z<m4>-ns3uUn%H+5@9M?e@h{a|G)nj0$P3oB3Ra&gEdl)|LAEX-yj>o5NJRj-J{A|0
zE-C;3YVKYbTp?oVxI%by5>LNi4pbA&XxqHpd?8-H_+Q=mXrNV#F#RPm->3G3bP`KA
z|K=$hvgAQ%(O&t1+;3`Fep0yw`*}a5{c<^z6%h(LFhg0&*158K1cT591a0wA5BryW
zNsHuW)nL%a7WpxthDQW|T_X(Ee;|VC@*r`776XtLq_SPgi{4O5XO7Fc$jYG0z<q^J
zgbIioX;?>N>uub?zsCB@UnIZEWyXwn+&O}7iW+fm3Um&PpzV8U7jB;}%cQ4?^jJj=
z%EGx@aYkf>>m=6t_{P;D9+cjYdX;DVlkQ&=N#G4cG{&M{=@1TaWNy7X%#edn0UN6d
zM|wsCMSSVoeCjF%075h*mieAA?CKr-FE1<4dBh{er&0BUz&qWjqUthvaq<U^gBL22
zYqD*>rr~ypv|0`NhPvGv#!{n`i~Y@Xs`v?e)`N5Q$tgYsXEmRm&7mlRHFqixroW0s
zkY5&Se>G{R`_ZEnr|38$-W2LoN(INtYVos^3H?HUnbB^R31HHtZ4*3xT~E&n$5Ceg
zi*`+D`?FHKs+FMEDEPb%vD<B4%Gz#6hj46#W7=o@6P?6D*v*&rLY&3&O8P=mogg^_
z(L^FgFbj9k(F?cH`U8R_<iiaQV|IF?H_r6i=eyy<td{xW`(R(ItO4q#fc<d%DkWaS
zV6jz*z|f9nDxIBK*cx>j2P!B%6*F!%@5>O@c_)2Xtu76|gBGc|2Wh=Lih9x8$EPe?
zp#1FqpNj4MyTJBip0^OHZNvNPr?R+`zG#TYX7jf0Jq*uOM%mc*9Qh2a84C34R%31B
zM#sjCY?}RVnVXxht?1eG8u8lldxLP`@U!2ii`u}@1(?S7$PaNnj6NG~%YY&5*NW1l
z|CB1Z!<V`?Zw8G)BD3f444v-8y0>&Rx2lK0d%1aiBoeT7ep=p_{J8DD8t~O{v@X~2
zs<L%&RfIdt1iXiSq2L{7&mU;P@Lpa0eF}2!rvV5ekc-gcNhm_vC5w<TYGc)$NCh`t
zX~_*hnRdN6ny%Fl=4uN3uJ#$9)4`uK%*n!738P|!k9%SM`?ur~;yXYJE!{UoVTJ;I
z^ny1|JvDSagJFbMyx$g_&Wi>E)BeU-%?jBUdNrA91k&2eXRf>3bC=hiY0XhdCSX&_
z6P;52!1ebY2_@~b1f80S!u4V5U|*S-UrSOe8M-TLyyu}weg<~m*DuAJWHn7^`_DtW
z%7*LOtBcR1GB)(>^??g`HL^s+_fIUC40+Yq1=AngcuG=W++7e**5XJ1m{k^!wiTp=
z$2NC#u&_Nl<4`_Zx=kg+A%~!$q494+;lJRf>^h#ZKI>z<e%{lgYF<-SS4T-YP*(1w
zc&If8qj<ozK(y6r@FypNmaqe*g98$Rn(VkVdOqMv`YlD1Bx;A=8l-+&zE)fJIXUDG
z&kHDTZI?96sqpl=+D!UMNAOrX^3vMlr3|w_P074{{8U|ejmpy`93UEuD8jBh>%3nQ
zx>irER}OK#I&D_GX4Q1c?hWZUVo5F~c$@7Mkb0B6()3}_y7*VHo0Hgqzlx_zbX&RA
z{GP{meF{_p&`d-J0{yzW5s_33U9A2_n(LDLj)t7G0B|lrd6zui-emVap>TVbjn=~{
zxJT}L&G_Y~@!hOl5_C^c$&9s!W=*2r@_P@b^fskHnzm7AciUWw=%eA=$@#$aWh&l4
z#TKbpFg&pKf}yof#sm1IFBa>ZT?8dGIpeGKkJT_QbSW9{K-h<so$(nW2PPivVx|^>
zCdl#JlCJG-8ff8np)RG1N)YyBhSV7S2>5ome2;g3tlRQZ4&Q0bqaQSu&}8p?vPx9X
z#rbD4naV78SlaFwfYY<Pd`xS@Z`NG(?j0^LbOGXaY1-%Pa=pE#v^3F`%T@Y9Kv0S0
zY1}BtL04D$S=!mWkvvSv10Kq7cS+;a35OIG6gzp;EFqd2$TJ)YBfl!hfAHJ~V+o6E
zyGXlQQFsVL4Y3#dL1kb{%hEd{N(mQe+WUBne7IQ-9AlPgrQt~vO7av;{e$SgTIn?>
zRHjn^F*t-L>H#yd{}|IYYIVXPages7{XH^89}sLDz-jE-A1$l53@7NeCef{BSQ@!a
z)W7PLqU~TRb!b<M4-MpwRjAjE=vBnnp9n3JWjq$Gq(jb=>2I24p6@qn(c(=!^yT0C
zqTGuU(s&Q|<WP&Y+AF$#lio&1<m+Q*v0ne+VwRRw*}4GCpwZnoIH5T`ZG%FFJ^l1V
z)-{L~`trS6KD%)#uKkD@M8oOEJyuZ)8fn;sCivC+-8m|tXEj$p$=}5U{8GA@RPry{
z{<N{$u#**CN`GEbQpkS-91rn2?flx?AWFD|EG>Nb*XE>b#F^-a50)JTDi2<{5hBdG
z_h#J-UGYvn1O2J<KYf5Ct&%MsyTV9=^}pRcGqt#1;J;<ty2g?MZuQedhL)2>{w_JY
ztfC+p5#KIY8>~-!V`}}#`-0DIh=qU2XM<M2g#YM)8vf(sWj6zGni(~#<0oyQJ)^xI
zFnr!nD9w?(A;xR-bh%vTCh&)G&8zHzo<k}?SYt4uAP32C3Ze9KbOrfsY()*^=<g%t
zY>k0l)j)~zcU)UwL=53y(Xt04iOKnG-mza@R^UD}!z3nB8SvD3l!r!yb7&@dvv$n7
zw!(e<WfDww170AF7AJ`=<Ap5sYMZ{BG#>R^E#ikiZU_^$ol4pnAwSfY80>c*tQ_Hp
z?}`oBC*z|Y@6Au*P*8xaRI0GcNWez!iy&9@{lDi)fh73U6g~i*?w<tT7a`VLEB_%_
z`r9J%NhJF2C|4uGo+4btuH8dpdD=dTCH!Qk#r^=vsNKrVn`<^=q~SUwlxfZXXd3WZ
z`>q~0V5&u6`4Tcgl>2!;4NTMb7ZTxcc$rrbd4QaS$jMHBr)Oa!U38#)>`;!?{nv4j
zt!_I6C4ak=e2VAVK<c>g($xXi7A*F?5OJTrskw^+4UBC*!9FP`^Zm9Hb3Aneu%LIo
zq%C`_)>ET51&l`DMx8r1`?ww`2#956_X6tgX2}a}aJkdSe!lkpyluaDXo^IR-F;5#
zVM=2Cb0;gZD&#{YyEd&%2j=4$e%f#>Bk{ZxKqHRF+bi4T8xt#U&WhjL6Xp`riIz1g
zn&B;$br)9)!Ai0XD{43huPO!yTkE?u@a}v}YLSkLbHd(gCQ~HS{#=kwB{*nk=l%*o
zY1=OpNM<g|=C<577p1Ya=RRme`W2#>s7P!;+w#HkEOifa4xv(YeDb0%`F+i9pq+Jn
z!w=ndsrjIaWG8nB1eosHM_fcGYZl{5zkZ$<uCp8t3Hs8KNZmPIhASNl<bKJ-)(K;_
z33lXpYq_^z2ZC&CncafOtxuO;(U#-7__YLx!?N!p(G79GI{(zIOGDf*FuH1Qdd<H&
zYU|2AS5b&0xCQHB3n5w3TmS1Kf%hP-&~Bhtk9mC0t2?^&39cgAzd>V|Hw$HPY@=cO
z_$Bu?_=##AycEwCEZ|k%mRXG5+}bbkI*~5JltdsC(&KN<zquk|Nci;-Z`;5KvbdwP
zBd8Sf!GuNg!tK@5%DhJsZ9bO+FEu+zncA;xUsE>=R=H1!O7O2V5K{?em(q_|I$@|Y
z<M8=Cc}2={T*1BA(oI}Dhq2nvwoQe)iL(I63jYjd`Z*16|H`r7<iNtdkA*reJX>yr
z8U0$*MN6JRcjU@3ZE?rkY{m%TFeEl6G-jsLdD|VO`u03Kr~3bpvmL@IW?nTz0c6r)
zBGPmoh4T3`4@ZTtKSI|e^`c+CNP?!PQ%K6l<i01QcwK6R@ezq@mHyZ7qlN)@MWI_O
zUAVv?2cC54S^VC?wC&4FCs>Fy*WRzCd~2m<MKO3+-kUyqrEvQ3&)<7`K(1{@-E-_q
z4_n&wfXF%qrSy-Z=&|n)0u2^Lk$X?w_CYF?CBvc2a0!WdQq5-Z6J_s6^U%hvYOGUV
z8YJ0h<vF}doUcye_RN?MPfG_#)_1Xz-HYcVU75+1p5Z-8Zp#s}GZaC7K)X5Ow-LhW
zv3S*7&-H=P;uA(^L2A{bc%0`S*Q_NL_AdIy4!crtYQq;FJKQk1@H|cTyovkLLe<hD
zwz4TaE<9plvWCRJ#gWpa*?wTpg#jCgrN&^mElgJK()NqV2dX9u8@!GB=a6zn04Mj)
zh71TxXn+6yEgQ0z2lT$5sKI7*NozIql4KQSWD=uqwZ8I2iRU236^}?X3}|`l{;l^8
zts@+)HfQyAEWER*QkRv}9G`p{u-l<ilZ|Sd-i!W5UDtjV3R9~E;B4rEFQ#OaSBK8S
zw%(Gqoh~9z-f}-72Qk7o!ix{X+UL)l=L_0LW}sw{$U~oZ-|XUQ?y#6Q<v1%s$MF}C
z*Bca{U$Lrvw?OV-h|Iy`mi}Gs%|1ti-vnIAr~p}X>t9Y4YNS{*un*D9(3eM-X*M-U
z6F(M!RJYTFEW;H9KW*<Eb^<|$0`0W?IRBxLYG${ia)Qsvt*Db0JfRzrR<&$R4WFcb
z&R<b2pPrH{o8`EI-~u#!fL+%i5E;Pt<PK}AWTfgp3?<Q{e`{%1uV{D=iqsPgmRo@#
zZ%Ic7DyauVnP?TEb66>UwY#;m15QXxG?a!|TQfbfwl+02ElQ`#?XusX{QK*ed-MGG
zH>ejfvyUXc^X3KZ0Ppn0<cV_fq~TTD_G$9vBr+6MV)#RgZ(%C`XPMx7&;>{A4^Ooe
zzGDmVrsh}3#S<rwimaF|5bCp>K~?g%q2JO^*X+6}<YC-(PR8$2Vz8<hfyOyz@KX!E
zWVcbjHWXt~w%qg`Jw=bZE&hT9j@RPO)DJ~8lKL!#b-C)Vj;Z3&Y5kUnlySqF4OD@X
z3}}S6%H>%+v~0#V-+KHQA`8SVWy{Hb+2X&JuC+w5Kf%_<D31`647$rDxfx8zX1J_q
z@KR<iy18LvhU6O0;f}<wO+8Mk*57Ql|Ch)B_~(okSNc9z;}ih1qliRGfnyF*m}Ep{
zWs{&#LJ3&j&M>r7HkCX1dZyM{HefB8-=7!rzpj*n2e?FwZ1*02O`J|^q)(R}*ngGg
z8{+Kkgzsm+DGGWZkRc_9G=dhq^>EE$?(!_SnC~OBMDBgq01JCv^N&eiljln``3LQo
zx3-|@tr)w%Io#=YvQ4@xRxVxWV234CGzYE*h7>RqMcxM`z&_@r;i|vWweRrktXO81
zre&}j)hDS^4?D%P-N-9#)-AG(s6J$LHGUT=qB&QSgtSf0YyKgT7ByY}9FXIk9VL)I
z`$@0CSsv+c-{#l98rW8B#o{s#@A!;=V!~f1(H9Xb#*=I{{q0cAKz@uK77-DR+*MvZ
zxV4kc*i6<za#}l0Y=unbK99K;;18(ZeosjIk6>4aIf_3{v8O&5LXDuH<4CN9O&@TA
zpAvu9Ew$0tr~*7sk&zt~ubNoIY&rft@_UF2?vVj>LOVrnm?dy=XwaT7n_JoX!9q%S
zV6EPS7*nd0Mc?`p##-aj@`1(V%xu9_2ZnbIuUP=i<O*5!J7-xttYWL1FJ^D#!DnOJ
zo=U7B(7iASj33z4yz!P{<g9#8EHmlaUZ}ZD6m*9*%17Fb$g9ia?cim33ddGv*p=st
z^FF|x>s2tpMEd<41wL?h&m&CplkJHB_3f<5R>41JYwkW>qm;GT>L~#Dru@uV%`&_G
zUe0e7y{kU@b%Oi|sv6e~Uer@p50lJ0p7<xL`Nu<;=zvVANTg!E#)li}65cBI@q_h|
z9o)PIAT`$~UWmMis4zk4=U>(}D~|d<*8k70_!my@(<zYAazX;Wgid;^q@W#dhOYT@
z9p*l-`b43S3H)DH?tdG_O>o*?JkMqv-T*|E@#t6YL%i7lj5<P=1!<vRC?-DfxnRMX
zxE%G&zW!%CpLC@@8hj!KbMhPNxg1use1>yJAeBS@K4Enqyr(pr-geJ@<u6oI3zstE
zbri#}Kat4P4Q_=2a}Y8-nb^wBMB}t#U~jdO`^Q4zZrK9Gfd8OtUj<Pi6g(6V`D{q=
zZh<$Ewwg3^C5fotY>MQmgb2%kvmgVPoawX^QHX3Fo4sR@g2Ht%M^d3o{73{2vvL2i
zzq0sE<?iwY`jt~qD$MOoVwh#lID5}-cG{@PnG%8aDyx>B#<}8RMsR1rX!k>#)cdDl
z7_gDuISnP<HC=Ps)wKWAj&l`+d2Ef!e^*X5K{+GLX2nt{p$U13yfB+=`ES#0^sc6Z
zxu(-*D?)E@s8AM;@@-;hq@%R`I{+21B|~vFR4B2A;xK!aZ#Z;#EsBNV+gdV|)Ud^l
zg~v9946xVZjZ@})nHz*gJ%k|{4ox|8d#X=PF?=}3p_S*x*a+12M((zx=3W9_xLAj{
zQDqImk>K#z`<td_>0s8;WngjS@5<o0-qGwY84*8Gi1li%J%9OOhpg^C<SknfXS47U
z!oEpER7N4z29(h6$)={N0^h5GA;7*(d1J+X{K&_!gISLe>W0fW&E35bu9~b#74ywL
zuOQXDWHVg*-F&e6o8#sKkM-+@*Y|q@4z>MvqY5Ah>RA56nE2h~!Ek%V@yVbo#k$Ep
zouG(>mC@4|dkpus7Pwt_FFZyYkFM8~vc8+~DHBacuM<P45Ap5i9xk?d6@I(?XN4aT
zj*}})3BT742p&sIxiMUs10Y&`+FIF^)i8<|0G6!f_lfN!|GysXC0$O3AsxrAJLCI)
zlBnvpZD*J{C3?o3-thaY;v>9vFeC(~29f-wsoKb!@<Z#_G-XPD@(aG>%-di=a@X{>
z=L&H-uXU5f>(AB@nqV%sbXU{*vCZ6(tB#mW1TIe1TMDSVMcD+kujY(3jEJ@~;O8a?
z72~$6f2;hi_;-m{vP1K$v$OQXhqI35lg%c*sVH#p^5_LSEx<MZ!uzn+ALULZm?ZYp
z>4g~0Zu_F{t+1D=m?9(>@pX%#w`R&>ix;lbtcGUrNusbLgeb~9gTy&kWl$ETC;O&A
zE4cm6?5yL8TYtKB4yJvKLuObl6fQAnl+sO6sh*xjM@H|?fu)g-I?JUks{ZHH|9~EM
zC#vs+9urk=T5na5ZH~LQyZa~40&==%OLF%v2Q8d~5}Mr%1-fbmMn;U$mS|oL*{Ks(
zoZ;c&?1BO<0Ov_D-F5Xr*$jtC|6X3!OI~3^;k`jkz&7I`L14MaaoEAmaAHrV%T8+8
zH5cFSfqUu2_XwgA+2%!U4!^p}vwjB;VlMUNeRTF_vM0vsW7m_}<Y$Wf!+<VAGCVz2
z4MOvV(<eF8qbzqW)#EME-DO&?y5VdCn}H`WIG)~lphNbtv@409<<*?|!}LY6E5d7e
zL`QYh5A>54z?pS{6e;UjPL?p<C1PBw#7dKFBRld_|M>CfGV)V7HwGC~Nnb}+h;4Vg
ztI_muZ-@kSvPd1lf(nW7@`4(Xu#q|PafFcq{EX(A>#;)=xagv1z3I0z<owZSVDHwD
zfNog6G0nOD2BmLo_#*$zrkY#)J)*w+JaKJ`X8d!6xOnVzdOKF%g>KDC%pWgjxs5q3
zb=MycBec@tC6v@;|7hyXddQINImxSidpTuNTpasLhGzZNPpBClT(b)5l`D1ht<uzF
zAeJNtcV%8(5*PaMRREa+XWwW3=uvj|%e;vFFJW<c;TvK5ZYI;NpSa1>22zF|o~VdT
z`#NNN(mMD5{ksgnHTMXg_n}az&{I?h<oYTMVD-JNt{#tAQph)w1SB%C3vfCSG(fso
zlY&rXy?(u!i;Y%N)kNQUzR?G07C_iC^i+H$$AK)UmRnc%#6J#8bv)tJ{<$e(F(Pa}
zCr?wjG3L5LE_rmMZ}(l26*J!obwJqEXD`~ykS@Gi6i-G~U_~Gj`1^g=XAp$B8v<Q+
zpv)`~&UncwBF>12WoU(J)3#-sk2K$cJwJjnwEBmO)rmeY{jP}o{v5(ItSHlFrJsz=
zGJ$IJ=J6$&3<#s_nSeN&ZoOdS2xryXTuWSxxvO3Kh&RSF?RKpTt$Bd%$b_k)*76x^
z2_OE3XsY{B(vt|8BOw>7DfZtsuOG;?4KMnH;U{-n%~9o)DrV;P9%(9WQWiB0Zn_n<
zn$dppimN~7o*91QfVuo;_ej6KkvJ#4ZP1*3P}m5NO{a}mk|o-$WR`8pHcA{d?_4Vq
z6VK#F0o}~}xgg$OdYb6`n%BYm@*i~C!<%-4_j7<bcqH-e_3<20dZ@W~>){$B14GYi
zL5qXy%YBJH5jYy{Wd7L*cRW5m{&IrqNswD;C_Ugn?dJ!IWyd(D4yWeJ#lL>4|EXEJ
zpHhk9FyU47A5u!h-L~UudC?YG(j4YTUbw*6J$NO4{RV`pUGv24*vsetQYq7XH>VI+
z>@S+=H<tl^d<*c#!;<#`Rhok=S~IpWuLG0Ee&$gms4!n>x2s4(-9KDQtz}5a+B}0{
zuvyxqGI`Pr^nMPw1DEylv?0tk<z`K>x4#;MU>~nh?2BOEz8YJmEM!6HKb|kmJyWcQ
zFNZ8uGpSh`topwji6t))((ulVv~Uv6qs|X`XL2=Y9n*n{%1!Gscr1%sP9h})_8tf&
zr2RBJmQpe}j1wclIXFhbIUX|rgbcp4xFM50?IavepFX!~U(x^+9f-(27xtsjCy9DH
zX$D5x{|Kht1_aOfh$lacjTT-izP;J0A5Yc+tC&CCEY0#i*|Flp86HnSrc8eQ`W(nE
zd6k*@MokTa!SHyhJ^OawZmjV3q|c|yd-w7Yt-Rjcw}3e;_ix_t*)$ASqYgtC=*DtU
zJIK{>rxL6>zQSBJCRCDYFJuAmomGpP0T;{{f+K87^Si^BNdMoy#CsDBM;W{5w_mN%
zDQJgZTt@f1bejALltai<0vYEHS!rAJ9r;`CP4C|I{WvblR45tNKWp<d3F+Imehns$
zKUygQZ}$YNe2%Gp_G6nY^+tqE-!Q%bfB?(&cSR)FO7_nZppa&``-ZgD3Y1v(Q99oN
z@$L^F&rr2AHjHUvF`Q}XG;2~4!_9GO0ojvQUV=`wlG~8w38S0g1xvLX0dVesF&%`3
zc{RoVJ8Rr!H@wDTPt{a<Gy*+G4b{%kZ)ZEdACrm>*ID?TO^Ug7Bri*9`IqS$*40eS
z&ppGO7i+XQ9kO@vF(Y){w+&UZ_T&>VnQ3#>-)mQX54`46k8131o6-fdZQ0t|_KQWV
zjW7(di%~x5c8pvaj;@x3kTx|ozVRTEV*m^?#R34#;e0Lnf7=`fNw_O9r5nbiZFjX9
zKOWde?&Es$6GSaYB+oHlclQQA;9x7G&4hfez`r|D!*ELBUR@HYkCRDkS<K~<6gs@*
zgso=)AcU|14h!7JT=Z1E>krHP9e?@25R>%Qtm5(5NBU&W_Op)lfoZXHuX7@=4o-YZ
zmlMaargpWzjMMt?8H&Mcbl4fwojMEytiQ>Ps@YJrIY1zFaU4-Qr~?z%GIo(Gihbio
zs>~%3_6km%6N9btr3EVh*zDTP59vX-9h*xBSy26{Kh<^87Sw&8l84dO4p$#cdvr`2
zK-%VUPID>yzq~SasPc7<(?l4UCsod@?gSsF7Uln!dvJyXhlx?fRF+@F<~%niN6dGr
zQJS`@;-f@56^O)LJSQq$4jlapNG%y8gmA!RKmF~1__IHRaIjxwL=@^6VNcT<i(Bfb
zX|jH9>W!A<W2tVgOT3!p72~@?*VwOr<=pmg(un_@zprv7{9W4b(eS!8i?@bhO@+h7
zN+ZNX^p|Wq{i6-X`-8a7yjqYjZ&vIGGwG}Re#;$A-)ZJA5f5Z-FYBO{4n*RdOngMJ
zK|Kz!to80FtA(Fu#`D8wCdPJ)2AebTZ}{D6TP-|)hc*a5SJg6Zm#RtX!UWLqVq{ec
z)t<K?A$v7Q>erW9la^yE2RH#K_Mb@oQIB7(y46Y~^!}6!^P_A05wfr)_IA{oBxEiC
zn4v%4aZ#acy5{rq;H0cCW+~yj;HR}$-C781O^Wotza!>U+wp;Budlk>^r3Y(@^?i|
zK&7f1bkeKfTibtEkw97a#|ylA^%^J84C?pn8EdWONZz|)X9f+OOhC<;U-O1w0Py^;
zg$)T$DLTQE7ydQ%1=iR>4$vx$(r}+iz<OS?395wbzb$EQilV+5NhBrmS5fRF6MEpf
zc4td~I*M*9O}dhMstToLHg8nS_wK;9*b{I3M`vo=<TNDc%G{>#jC?m^x+c%2_+URK
zSM6{YE9fCSoA`TzQ<hq(2agVN#YAt-C>ejypQUAhZM#h~z$eP4{z7grcXkin((W9u
zBZ-@TX5~yU{>^E=DZ5wOS*%@xQeB0mKZ^O0+NBN7q4md3B-hikr*gLamz=(eKpc8~
zKvl5A>2Ar#&r?LrpsV`X4eAr-@K_LpG>nnd#z%x*DKHBMi}y}J+3}Z#NC}_#;7Dqp
z^tbrHMMDfYSep5{*Ek{dd6#F~zH-dRwuA-1{_r18>u7DzLA>~-PDxZ-x&~LOR!Kj@
zJYXmEm-R;TXh>%A5ehmR)&*;7bOx-G;@`RRhxiN#jZov9cH!u=-6@T7vwtIYOhg@i
z@+nJMyh7jMJ(+NRGawQW7D$r3{BS?1<vBloe_?)INx=k_cva&l&x^!G8p+s(m41Ig
zPk1i*Nv3FH5m780H6mCr@FaPFtim-S^Ecj!meJDeD%-&fC>CTFr!4bJ_+ni_jDbmY
zyf<;=%%?}=$`He@4BSnX6AS08+goxM!B%z3OK~K;8?;q-Tgi{*AgSkw$UurTv3lA3
zL5H|gk@3>62yB7iQC*Ea>5t^M1Y$9u-VGS9JDqC>aclH$sXg^Q4ZM1|*CR&};aH{n
zZn)0SqQP?XpaCiSk7I2>;@9{4JJVq0L9yCzj()4S_rQfA&+iwg-*QlqxRB(+Zt*H4
zM%eT}dv6X3<TEDeGn7F{ZZHKE;OlITIIn{cT3A@*COc6iAo>6Fg$ueu_E~)wJ5y$7
ztvI=+r=}L@piQ?$ZSVZM^>L01X3)`SjeKC*TnI^e7#CF*YpH>rV_qSoNQ-&`Xq5K!
z49kT~{nn{w2$lG}xj)k9BRhNTV=Z#8aYdxB$ZsFno+X10c-8$J1!mL4Ed<d+lFAIB
ziJE)L;-o7sJWvu&-a2NzJnc=zQOwqcyIVMKJt1>-gztl-#>|>9@2S1Sm+|a`lmnZ5
zz9r^oi#usc%(lpzuU$z|tTy<7%0t!qjwWUf$hL1n9i1r;{D!C#_<ffc&rz%W@s9V~
zr*k^i-OR3!9WP}*&D-vNTA^txlqa6PmKYpM;RxHl?UJw$42@z)I%dpPgnvLNHur`B
zg;dP;fmcnU;B$j72F_{H5vn6^PKCLftxs@w{|;aMAC_|W1?8Uwe)J$~IKD(XjnRFo
zR6i@Z1Tb@stWfA9bpUJ71Hgg!(iS|1sdpbo1G;lQA)z15gv9UuXOC#5BERFNZZ(tC
z0|c9FIlAA_?>!+8FGHAK9Uz`j85gCZg9dI=B-+{3Yvs#OYkacFs#y?8f+kd~(sHbp
z=$`e)+sxLO`_ew*$#mutfkbz57Khb50*U8*g5{HQu(<~GArRa542i?WIdbr+W&xFF
z82QRm0=Jfr#HTaxrDcd|9I2zd&tIhg5K4fhzllKwl5d3!34@<YI?anj4TD0=HmcI%
z_cbhi2>|o5MGQP7JVU1H^CeSCI4rlypS1B_+?WGz-QEAk)mw&D)pc#df=G9FNq0y|
zcY`3(og%X7?(SAXy1To(k?w{~NVDnYTV8j(_w)T)9B}Yw&bj6q;~Zy%#2NfD%Wh>c
z)%wHI_#x_QQ_pl+STx!W`(~SN<FqV>UFeN;FGWj2=~mHludz!|j$6>XKmR{N-gDD`
zOq?V(0Yphg^ke2k$X_?H!ooobMHx`FDSAvy4ACGkzX0;*x>7hT$U!EB3BvFGMj-w}
zP&a%FAKF2+ofWlhYsGaL60uCjws(%3nPBYflKh!z<Flod$`b+7GFPJXn2AaOQ`EP&
z>hc!%C@^J|E-dC4XECIb00kd6zLr<`NyzxX%(R9c$lD?XY(P{cZYsv3KHKTY)dh}j
zeE=&m#jrIPLG_d3((hOSh%+pa`n<R{!DWa+DblZO4~igz=`U$p9qvmYaXuIQC7+E9
z&F+-|`8V&jUo(~leAbDL^{eq%qNUTD(SO#I_--tG{=MpQKn9YA0vD~1W(WO5s<j=D
zde6^g2&+>BQ#>9Mmr5iC@}Bj4lXv#w7l&1rX?G`mPW(!d_Ir%kdDL6Hx;^v}8Hr@w
zr`IOn*(3?Xcar$Oe6B8BECBLcJT#%g>~@$C3<2E5z{E;4TJ8L#JjQ@ORv>mUut@fd
z{ul0CrM~O#zm@lM|Fx#AAzj*A3gJu7_Xpxkf##h3JuIt4Vy&jwwXM$K;x^MNtE%;c
zf)v`b%V92P@zxtyqk2q?->m(OT@aMMWO7As0qvO-9vpj{YYb&pR5eA)qe*zKW`UN%
zc(%t4w-DKLsN|Wz7*s|4l68dnwdKjkhw84i&gIXMXA5_BG2>e<0QHA2ofD6Xg)`AO
zTJpqutugc{fst240}^IWHa-tim9!1<lCiRA(m4~pE6DR$B`xMSHI$yy=e-q*I<EBr
zyyAeC<BYtMt-CLbS8u>EYoi_bXL2g{o;myJ9n$?7SzfE#-f?5M<^K!1cY$cCih)iR
z5$JTY3kp8jO6c|hl46;B)q$<|5G>U;CB)^hPi>@1#*9R6JT@{X|CU60@<1Cm)XjL&
zi$RE_b+!y)RDn?XdcfG?n3OwC=HNSSCCPe(7nh2w-njqeRV%Z4p}sUU^?FfC>cWAv
z7exQZ9RnLlDtk&Fs+7`@q{(Fr5r4nHHe}aGm-ywq>RA3yN@pWw`VdSQ-6NN5cfl6g
z#{!A$+3K(9$d8nyxSI~-k|C||{TB~E4`6N$Ha~xi5GIY<TDr$B022rp97w-IS`A~=
zqGZY#8o0HO;{gts9p8KEn;u*St|`pscc)|~YeSQkY08s9Lhfh>t*?Q{JDJ#NLt}O0
zN>{y07axwh<Hddi@!Uxm&no>Nl;{}rkLA@LmJ!*M&~CtO;chbk?XS)lh=~LfDp6tL
z<KuS~W_pLath)`aIy*XwATG;Z1@cCAD%P&{+B1U8FfwWdnv-ZCcxYCX>Z~j*VldX0
z@d;0gl(koi1#!EYGeeF<bAi9FuIh}MGNO;7v<=eFPASRH=$AI~hhG}w9v@CA3)}B2
zV0Jh?EiDmLk-u~hbsW^*+a*~v^GMn<BDfylvvBtI$YJ7n494n&<$8JI@<<m<>Z(UR
z&^ajcfuhgCuJw}!^;}3gMMPi>?FcL`+ur=X3tQ^Lrb&d0k~ud05Hy!ZMS;>^z)XW@
z=W$3mj`AApe}S#nuP^cTC$<@qokkEkB0Cs21&qfBihEW*Wd5$M(`pk=$;7u*?+teo
zyw+xR!*bhAC%M_1uir;U9MjK%Z>|n`#EyQoky07!n?6?+t;p^=Hs7m02BUFX5ugcm
zwvyKFPrF^z-oLk1JM~M@>Wlv6W&4BYmxA#*4@`5j(vC5Lsl|QAe(Yg~?`*m-c_Z)J
zR9X=WdulZFgIaQzlq5@ggMZ*wz1I<oEYH`G4m|izSL<D7<wxO1W6lCle8TaUXq5|A
zId5G&L+al01L-CnLy*km;hk0R(fF>5+MuIZqaf7M{*H&nxXbRM@`Oj@GtG(<BOPJx
zpTe3~*~1>#2I75Yv4b<7ep$dC{jVX!YO_O=+hu{9gX~TqfFwC$|7Ctj;NwbH4}#g@
zC>$Id_TFfU$SCxKJ1BNV+`onjV}Wc20r&cyJf)6LR3l<F(PsCQVmgYOF3!%s%1ki~
z&D^y*f%wq6x;p&*%K$jAeb?;VoLTVjuq@a+F~B*+9EgD^s;u-mz6J(mHvfWj4Xxlq
zcTD!X4T14j;q5FCY#b&QYT)gSC-3z>Ial-PmVzv3P$0v`isKYquJu{(FaV|uACdOm
z`m>pIa}>v3-o?$%ezN@7G&QkkN+n_csp@-JR#lnPw2tUz-WXwgzAd^3V#WjfmckVk
zJdl)N2!L5hX=1amjFwXq3O619cKyCH^hI&HRy$1zaizUSGYo8|j}>+S9kE(J(Ffss
zw~d6w9;q}4p;#M;aKza##_s=YMmig^I%NNfV_}CBv^S>(lEQ0nB{)9#W)YDrk3z6W
z{DsL`+QN=Ss=DbEeHG3?vgMT~m$oG~=C{fReF=9E<~>ucJT7n?TKnM<Px0aqzl{(m
z5phjn>#XwWwf*mR0T?VQ{WDlxZQCAc_q^v2y5GUVBBMZs$N1jAw(_?+#ItKEE=Kq(
z@0vY1I_gd5cZt-wDK5<5(5N7*FWf%Hf!qUeyLW46-WESxFj98qV*4~gLm6XY$b>->
zmKcEmqi(}z1A8vv8c1T9F9wKx784m<V)YwmJf-B7qisNFX=E4kXxt!2ROs?F+^{~t
zBsQ<&6*zo2a{V_Q;Ton7|Bn+tWIEd%pjGy%T0U)?v))uytqJQM^ew6qlP0}Yp3|sC
z|3!j&U*6eZEh^Ht$|0plT<JdE6uwJobGyns`%Y&H+fp*96IUpSY=#kQ;Eu0mQQR*X
zuQ*|pSNMw5d*PL=s&nUE+oxNTydzaW-AiO)N0YSes+8c-M)L8SLbYxj%^oUGdBr3~
zc-KZLO7c(`fUnpz8z;+{pP#xScN%TA3aYSrYZHCI<D=TYvskqmZGVTMyE;(dm7QNP
z?$o#*n<cWtp3SWJ4OZHWv+DJO<aU6}TC3q|-%=RqfC@777_HLUGkn;@D~ayoOJs9@
zA$dx_^T+r#ID<TXzA?8Y71RB#dfur114c5c!@IR|{@9y;j8*^LP_>441rGuuv8AUc
z0ilObxH)W<4bMwOfyd+8fvJ^^jTlCa3jEtsplmu%$b5n+R7&UQDS;oNYy*fm;2|8y
zb!wmbk&_)&#HPpdgA-WF8%RtZvsX^zHR?M6NSUOScm#!2JMaINV4_+QmUgc%a|X{i
z`d-&x-ruaZx=i%Rgq|~w8)KxHEmv2wd%oQ7H#r?8+EI;usO)@cu_KP?V)nxI)AGiw
zT^E*}YYNl5CSA2lkGo9)tZrV9+qG<UEq+lu$3A9=7;ivfl6UJ-Nrvaq6|0p<=9lP~
zB&8&0+$@6O1|_Z{PeR<zBYK~=&m|UZIQ3}+PV5>z+*?{a3R<l+isdlrResQg=XIr%
zL&YxMQpbg@Ze2cy$rpUugvJcJejJWyeI0G~S>IiCm}opeT}dpe(#6U<!x;q`)63vi
zf~lZ%Wp~eu^?th+R}kX`)5K*&nD`&|pn=v0b-$CM;N-(U3hq4^Vz|g(&fM2ai!jkJ
zv~j87ko61)+kjo4i3U8H>dW4ubgS3>IHip9By1f)BM7p6U1dfd1id%3+QpOPL;k%s
z2snsmTRd=MHoGm(umqm$?vYCM_0M|^E;lk6Z0FG3EQGsEcQ%E?Krk=|I_L1aUb2v?
z$DrMFEg7~r@k0xzxDv$9bO{5}PBRouXnt}!W3w!)Xx@XKJD9#V%`HRYH;?V1^{T8P
zS{%vSemFK^<6l-$`;ffh>RcD$cZz=ua>q`YdK|i16KOeeFfEk+Biu_KhE4XP$yLZ!
zW>SRFNAz<%S7xTput9yQCW3a$$v4U@XROk&g1vfGm>um>XDmiZ#YO|5bhbdlz(>TZ
zo332Z$VL4%cq3&vx~vG#$COt|XNN}eF>qi&3VhF~-zT;h{w{D)_;{spV%0MOQ}a7<
zU?`55h<6&Jto{4<>R9nHKU|I%*-c)_8}MqBhAdT3Z*Ol+Zco?HOW`R(gIxdo`NM{2
zLXjV|iId}IY}`Ya5%dXnT034-Gc+hzw~i{NHw2AHOuHejE$?(1Hl-1Jh|w|tR0>ZA
z9qvmBP#|_ZTlI(c3se)JPUH^0qyh24E_k3#xrMi@9=3Q1RAE8z59^~IRfW~z3^Q%}
zN0*;PkLE_o)ldCZo`NmeDSE;2bkU`6QO;Zai>`UHQ@!hQA>ObJ@|43{19y^+ihA2M
z6vyYs;sGwS&h9SR#ceqH(l1E4gS+jdqs+!UJ2e!2tc?<8y5bw#_Aze<DM7mF3OT8O
znTsysXO(rVsmi8|quZc0{P#v}JlpJ|r+r77@Zgh_Kh`G~zeJa9VrCPlKoTHxWP%60
z6)S!P-`3SD^w`Mv{Ok(xcj8!2Eb{%;<z?gOW6{g$S8O-geR$jqyC-4!4cZu=V6dSi
zMgH|LtR?@X){1}x<5rc_$dc2AgA+)_Zh%{(uGX2eUS3xA;m9mKc0>$$)VpRvE<saE
zQytBiUPVuFf|o`GN}dl;+({iUmbLw$C^4Xj4EhAJv~<%fh+W`!K4z1%phyRH%j)K5
zTVNZmzYe@HgscJiY8NG8hvJ*T@aN@1S&T(F_%d3R#-Fyc4Fdeo^YvXVq(h6^0Nt`}
zF|kKE0?#^SBjR=2N;;~&FKP+@P*-V8actA)4#J1kH7?K5oSkM6`^k&xv8v?PJc^&d
z-GI1j^DR=1yIu3(X@B-17O&<rBF$G(yN*|l(1HTXFLC|*&q54gHrsoPlDfas#V7T`
z!NrZ|?x!TgMIWUo=Xy=jeNvbSb!UWAoI0-R&)%qq6<9``l;)P)J(g2ENy)>z6eQfG
zW@tT~5$B{ivvraD(OMln5I)L~{Ja?S8ou(p9*utULj}cZ`C{&oy)@E^zfO`>Q(NX7
z7m`3$!#sv3(v1k)yz*{B-iE^K6;^dYNW?kK4@0^ou6p8=mM7Wpxa?_auCg6Yd-RGd
z+d}t}J$yxb;iWS+r6(J0Ff{gW)9$DE8?Al*_7@f?DT|0`-?`gx{aD;A_%d{;lT=0+
z1s;vRySqt%p@|i*`J)aKMPs%VaKqtY(4`2Y{*)%50BjjSfBCG|&;pRcO8~7UqqlUc
zW%i8gN8SzYxT&us*j8sEW4f-~VWp~v>BpL@nw7o5P}Ls6F>Yp)$yk(-v2FG9gA%_9
zZ>;%gsy$>z5%fN8NIYJ1$T%hGqfAD;OZ9Z^wrbf0*TzYh@0HzAV}X~g$Bkb-=z98v
z=F)2IHgKj|sONU7@UE5hOj2ty2Cc#gJXY_Kd_va0k<l4Wzx=7K+J`o}k!L!`7+kEd
z@UUndcrj+@LHw#-wQA;)dN}_s)vjfC1^GBJJ3d*|=73RUk1=FsZ=k(cr%BiY<wg{Z
z1`KZEI44+UxXB(d5YOQHZO8oWtzrZW<e_2xgLSo+v$G*9GaVI44sCU&{<6*dyD6^p
zuKOuBPXWxqAvMf=s@8p($d}ml{xzy7w8ZA>)RFDnFZ#LM`Wv|AP6vHf7{c_;5>JwU
zcoc^HibJgiMR~=|G()B1a)0sSrHU53;!e8=OSkMJ+KUSgjeRx~a70^rS&?ya=~-HY
zf(RsvxHNnUs?K9e5!{V&LanRl<gj7(7^!H{#&D&8Df2cDGn#)`eiZw;klu(4J$+Wz
zVG&i{(QHOojItC9kA1^gdS*Qo{w=?O30l2VM?SmjS8SiyK)AN%Y|}Q_13Z9|dzcP*
zq{!)2|3VL{)D(rcV-o7j=@E22CqFza>LS--Dn6Hf$kQi>+VA7;k;BarQ;;X2+DzNg
zGcd5Zz^2qFqc;^MKpc&0LDFIhH<W+Jd>`f%glsIY(iC&d_&8+0Bz?iGj@g!{l+&VL
zOf6k~n0F7dhS{N__F6u)xu}uQZ_>QfX}w-<xt0(i{gmH1e6R74r6BL4TiKz3bF;M)
z;@ktKV_&FfzK8kfaqvZ0DB$t4N}kpr&&`R*WbYB)Q5u#?j!XoXwJXfdNBym`p!8?P
zpRz_aODcgRRAI7|Ngo*u3(-HsDQ!mhao+Vm3wMY8Ix}(Em6rjUq{1gQfopHf5f;)*
zVgY9|S@WCEq#if^C{u8KsAeu%FeG(Jy!uL=))uHY-w`eFf3POii;FFwNMJQ_;1*8!
zqih(WxA`Q)Z`ErHkLXg{#`AK$<rxcU9Yq4=``DC{j(0gWlyJ{v%FA>ifr{3{(q;mX
z<Azm?zGKbVdg2xr8)aQi$YT1SoIcwCp)lW$8IO0beQAB)!GS?d_o}ioUzY~o(7W0j
zL)uhaQGa*{H^cqtXwlynnX!GY-NlF%qFK;x-jl1z@EJSPtF+X4xw8p`)xLGNUr+G1
zxRyL>_Iy99a#Y2I5qngTcA2*^T(AC+!8CJpIxnzJRQ_fDTI2MVYWPVzpNk?ahz-ZU
z(5>qAPi{=4VgQ|O|BWaUsq@Kpp$C;k&<7w<sqe2K{n4yBw!P-{lIC6oDN77JB3w)6
z+kLfs$H~dbo-}I%)<pnbjr@Rm{Ih8a6(7AOEewG?>AX8*a{71LQ7SY7q<h^+q~slD
zS?sC!JRx=d-_Xyw@YonoM`HAnLkm#qK1{}Ozv?Ls(PKMk_tp3sNAO6G;&7XZFoTV=
zVd`LxUA?5K3vyLVU0E{H!?wUjf<p!I`02@g!z5fqi0&B51(tf`q|H_?eg<fs+&(Gx
zfs!5ybMX`|4(AplQ{RwsOtWE};<($eT~T-nI=k}2IFmB~l_gdZJ0THOdQ!iHBlgr1
z-D5C{kO#U)k2HE!NbDHI%u)T}&D&qYolb{v(;q1~CDoX^Po|gN9UG?;eyh1VnZ`^@
zH?(ctf!-P4A6>$9R8jZzV*u+Q+iSRZAQtv;6C-26p?x~i7kS6?qm5&S>+@K|`^(nF
zhjvd4SyBtqae?O1DKY;%fKIqmg4!)K{cb;i)s$M!__OW$iMaC)DyG<}`%)$`a^P53
z_|l<so(}5!HBT5VpLc##d=m~qvYxWtscn*<F1h*bCunc$C<`X@;LC8J=WByKsp;*^
zKhQ&4h523|Q<xy|cIq!o)_<=}tY=5BddQfS%JAR<{u<?LTVy}3GkU3?0j0N_i0H>)
z^UT!qMMkaqN30v<9>@N3Vwjv}s3Aop_3%SU34=IYgjw&)^P}Q<6JBwKFFg-uj?&8=
zIEEtdy!dk=Ddvpo!XPyty-d77p5VM+Ts3mdI$`2yFJ(lM&TY<Uo@e(bwNZO8O~98<
zyx%&v8Ze|GzE|uARu}y7RIDyLjYiMvq>Y&@8Zi3UPzN4j=sK*|WvsmON2|0WpZJ%m
z3AHKHFYYn6>zOeTw>5a&**QLjIq;ml&&aw6cM_^Dh2k=b7yB+Aei`2&6n2v%?df$p
zkvX$NT}$Gv!xh6NSfG_pj4&In#w8bkaa?xL)wSCARoD*h*5XvvYh@G<KZ#v@1uD)z
zv6+!QGn5ma*t$~JdlpVd!M5!KPOGt5+<U%MWvdmUv2>KjO7s>bIe(&O>hsSSnKTIc
zdL6!Y>$t<ew{{Ph#+3`$e-70|(d%Z_G{vl}Q>p0gvUG28(4ziqZrX)@QX*RJA#J)#
zm5F5<|MbxY9_;zHac`sFL&7qR&il6ta$*iu4=+B8K9LpCf$XX&{5mGX1PMu{q0t}I
z>E1P}h}O6WK*l%F!8RQ+)`wmba9b<^c%DW+Uh1lB+p5^D#y94%ncCqJtk;eJrBA2s
znZxG1K+$r^E_$q0k^rmh1{NgpO0fM*2bEq=9r<q^e&7R~pKW$NxNl@ku*<(JD4^9h
z67Xs{n7x!UJ&-V_4~!|u_jwK+IEHF%*aHidOCC!S`s^=oC9CLc`oS7yggX)}CI}bv
z%gf&g=}{7Q?Q1D!;`@B=ero8mkM_@K$V~1l;#S#<HrwxpQ-pfByW2k9+5L?f49-ey
z%l9l!r7Eta-cNKJ?o~yPsH~pVh@aKCiK|}yFf245B)7~87{mVXVxq2DvitcWqs0N=
zf%#+NmqGq9nfd#Z+U0B8t?j;qdFC~s-pS;euvk0Q8m({e(CvuP0i85r49Xw1IqDy_
zt=0_I_b;onL|$;qujk2a#J<patx_J6E*KzQ)?YB_Hmo{sInUQ|>4P5ev~KD=lXN;)
zYw(JDXKwT=+IAC}lP12|H0l!6lqK)VY$Q087VYoQC_e3#UzAmUfg=!>H~4X)PbJ&T
z1fNg5P$LA@agOb@Il;Qovvc>M!;>wTBYtqV?(_20YNT&SiKzbjop24!{d_0Q7SMs`
z)=dGbZk6^4GgGPUGJ`|2*?dbm#~w2Q+NTaKfi{}q?8Jtcs3;1_3m=y?A>s=%uEWiW
z;Uiv;*FxTfSFFf>_bFx7FWZYz`Eclszq3BB`0m;Aw})HZabySI-xteycO+S{`ghi!
z88>pB#J!~2kZ;n+dJ0h9;@#hng<9Bp()eX8eHcgXhv2O`(v2nsPGJt14rTjvhv6H<
z+F}r%pw`t?J_=CHrO=*{M)r?TM&5H|TvmRuS!%a+Z$2)&o^P^E-A%-)Fu1Q<ZQH-q
zmWUIU7}tqH{g9JaP(iNq?YFc?Y||5qs)l#;2X<yVo?n$nX#pD5lMacZ5Y#TOb7qFf
zVvd64#kI+yE*DXUWQlZ^+qw&!poJswb>m^ND>nAaPwRI`jO9D45Gv%%x^ae5+qUVG
z%!adw9a=Y?M;&m_ML3_HrvBE|x1Y^~ZX?$k(DrC3C<I2zl9EBqdu4fNG9K#MNk2ia
zOvyO!CoJe)s8_J(t8Lw>-LOHegl^b-jgIc+7fC?e_#Uokia^L{?Vx?};<Z-A7@k(c
z^aC!)fcKfw$#uD-pU$FLAW5eozNOspHGhRQJ;@={R?vP8hqUOt`PTAUyT#jbJ?N<1
zX<l<4M@eUeMbG^AsOEHST0*&3nSg=gQ`1wTPKT~wl8(A&Vg9}5C9rlY<=o8HKSZ16
zAP~r4#%1`_=@;6tAQ8+7BMS3f7#6<`3HI+OL83c}+%n#tHSLlEEP9>sZcu6het`5W
zR9Wc04<_YtfTzO`NU2_O#n9O)|4wUK7mIq4C<EL4N7E_v0?XLwOtQMwkxYx`NTOKx
zF87Dqu=IMJ&SP2L=|oF;S`(EP(4pMw3_Hi)f~OPa1womG%s%r1nNF>RKN}sN!53bu
z7x|AidH4BF`X5=H^gv7CWkc&$-A+c`o2F-^Bpo*#79CKFEx*+=A#3Av1e1q$$7s0$
zXenZL%kq&$W8Ho<anz!|QKte~OMT2fFSFy+PU1ga0J1OgA-f}9^X>u_Bol3(5aI*-
zMZ2<cC{zae-OI<@j^m#5A?)$BKkQVo0Y?T$Uqz`ly^^mJ4x1d;rtd>in3M#ppMlfx
z!5~><tFC^+ezeR<$GYtblg=7%uBdk}@2E^ujc-!D0T0RopZ2ITj1;z^mBXFXAUaL_
zb=A7$+dg{+e!)l+oC~cDeoa%kC)&*y646Pm2VL8C_?P((w3TaH|1U<JyH<}OPT$~p
zG3=MVro{C!B0Jy4Xa}fa(Vj<i;|mc*gKOhp3RL@g^!>AXgD0f-s#&-Dr@oQtS6oew
zZyTwz3K-4la4@9lvzS=5bFr+NH=6|=Wx702d_$v6PB3hB%{1S&s$7SfsNM*)TA()#
zKBe?J1EP2EH<QI5=B0;joPSlK$o;X>-FAFG<3Tds;>@dk)6;wjf816XxH9O(l4~CC
zsWDx!+n@(Z`LeM)puGGdd!+tr!F~mgMW><+ctKAu>nyE&te)ylG_1Ug+=6EMhhE(-
zb=@;*uRSwbDjYNaz91)zQW+Dfr*aMSWhPr!au;-~&RiFCV>Snl)t5;ZdB|3=Zl%g2
zSJQR4*IL?p5o48g9YHI2N}Vz!84Wh<BU&sIyNTs_AjUPHgB$sMq{kF4>!?ii%KW3G
zJ-w!NZHp)~Jz$qkrp<ybgJ$M$Mx%g3wtMsUL|y0%Ukq9^?lS9H{MG^Q9@hO#ESKij
zNT<TBnN|G=4`!Aqh6%O$`jxHwD3A%)13`<0sx*>WO#Mx)<uF*X3mvDj4blPd6d)qF
zHJZmPN|{1YiHV5@N1Qp@iH+Mi=<$s^K)|~>5rv1D{_@P?;@3l~6DHHfHbqQxgLRgZ
z#p>SJ?V55|YT0{!m(vf2U#&9dNQF;P4!<Sk-qS+|!OL{k>W6EBd#*p0!($^s9i`De
zpGsC@mFh{Whb2NQwYAmyQK8K->z>z+y0CEz1>Js>g$>&d%G~U1_JI@Ycq(jRwNKYM
zd9d=H2=;XvADv|B`R&7TW_LHKx(o_#xM&CRXePhq_~)HFjpdu8D@w3`n2AxIenr^r
z&`v9PwH~7>sBV3Fb3!WyZ+p($7VNqA{=D{!DM~~9uRy&z1Tc9ZBpZ>{SyG^G!Zxeh
zYS8Hc8*PF!)P^HMlOY1_E2p15+DrfU*b}6j_E|+DBqB;Ryogu3>>+2Al1`|I&30y-
z9#m}^-+)?6*5mx2RAKwou|{bTpQxw37Glk^T32B@=Ti#b7`+JhsCdCwyxj<nnWsLG
z!IHzrcksK-;$!uy1rC+Fu@24}ifdP++E2vFPMs2?<zz)aU#AV)pY;{JsX5!)!-_E?
zMm~&b>sKf<u-^%RKDIG&BI-uiTw5`4=XW@I(a)zg^&t%k#m9#STOis4>&NLRYiHl{
z<82gcwdY5sZzdEGNE<`&Z=eS*p(*mt;mACF0fvMzFed_r`)n|FT3RX9ezEqFP)xEv
zI&yGvYZ@CH7simb7_Scw4|@O<8`+MT8%K;yUXL09f$33ZCGZEXnC7zm*}CB8iaMQ}
zxVAni6Rw0G%zzsocZgW_+?e*IDojSW?-Mt*Z5Y*oPf+Jt;b|EW9W<-2Z<^JvC-c7b
zfyabLl&c?ufV0MyWnh6FTb7;|RiJ7oUYG)|_!Pc*fjK)bX9#}4LUS7G?9X>w)Y)U1
zsu>$@-z!>-b1BFT5QeYy^qoh!d@RWvmvxH}X2FKn2*f3P-QeRv31jrzeIb)Kt+1}v
zILT>boN{3K-b_OpzA)d^M5=WLhVjd39Tf)oWtqTgNzq^#{4;t7uuha{o5Hjv?@6tL
zr70#sN%1`w{*hP04kYt-BHO`{R2FlP%NtJC0rrZkeB@Q>;zUQc%32B+`W`mvQxK@|
zwJNuUAes;n#W~a0YS1Vbb6oM7g2xSkx<hX@IrEFMfXLyz7S)-T-*<b`=sRBG+Fsiq
z)As%&#t!6p8_934=j<C$+LkACD9JPLM=wJJ-~<m!Cv()rI5!&L0TKD?>+mRI^J^`P
z`3f$&_1!NDaxbL}k6ky7)90&Zm)}_n{<s+E>#7;Td9PuQq8JITccGo9t)&%IiDc1$
z*H(V{9eRYA#*j7vQZ++HyqNuZyT`&E;@tc^VJZS-5r<M^NZIYqJ%fseU2N4Gm?zL^
zrfbT=(=+G!KMj?Ol3oBJLC64+4L;@VP~7_hkZR%IROY?y_fClssz5$D0V0A{@g)!~
z9~Bj}^IDtvJVyM%GHHi7ulktwWGe4p$Z*v)2KqNCUc%}O-kRL;*se&p;7t9FsHrUk
zPtW!h-%S9*cUL~rD5Gr<`nZxCBzE<XCW<OjObcDO7WC1FQ)%9dNN}bR$WZMadx9A-
z$;FT4Xfpa3Tzm)9GHR2}G8?-5iL*U|h=*8HeFLbp(L3VhWPKltu!W?q&!dK6J{HCU
z{W_%26L$D3;@QBon(AmoJT|I^>m<It5#C%sPR5tc>s4D<!OuZ==EZ%_G7{wYD^GRg
z*>i#I=6D<d8(`anZ`*vZU1Q`kE)kc4wik>%I#tLB-eE~3M1Y|mXmRuic`A)IGPBrm
zP3He#!6F!UTrlc-vP{%ND}vQ==ssIO?!@tO{pg}#=v*LrcRVneLr(EHnrGH+b^fiO
ztf=VKkEMzIF(_aOg5VQ4i4zeDhenz#up5=jc4|yOfw-5-V<R@w>h;Jyp3ZNv9!w_W
ziEjj}6DNxAPLa&2*J4`6AYs>LF+qx@pbWnu=3``;Stpt7#XgN^g|wtR^21uPeRXOI
zvTAyZ^~-X7r!@Xf7XF~cm@-Rl+c>AxO&GyXjJi5)C8>lrv+hj0oYRyr#h4;olKt4C
zs>PHh<n(JAD^4!{Ug37F8usHoWnH!aGSAQci`3;%Yc0kx?$3PkKl@@zTk~O2n@1;A
z8<0F04aAChp!sEYeEB7mP59TO<%+mtvLnK$IN$pC$1Q$1R-+7A%MaEaXMad94-71G
zWGJ{+$7NMFQQ23R6F>mFcVdMcXgp!Up&^*CMuk38#U-d3ESFwQg>Q?)etk^!W;jgX
zdtm!)t?-CIbauvZd`kc_8B!T1!YH#m;C>btaHaGW)P=GDlQwDJBuMNfIjbS@6FFmH
z!%C!)`7_I+fwf@SC`8lRUR(eZCz$sm9FruS$B@e-j$zs)t^k-;kL2V=8p%yJj8D{%
zOUlB>a#(2l%sjd6IT6)MO?v1ODt&t6mgjHptEhkU;nLwYGhXJf;5t>Imtw}f093R+
z3Dyx~3Qb8Z0S*r1W4a21PS7zyUxgU_GGKw4lcKVfDXGO|7VfWggXOO+qfb%Bd|ma0
zhd|y}kRrGrQ#@WFqC|5fAtF{cawma71v<jOjzaXi^CsES?QHSqVC=*R^uVrIZtX__
z`SkKO$FhIFa9rr<EK=~Sv|+{&y68#wZCeKv@AD}fu=3Mzy~myosnK9ZhYxKzJ$_`k
z<w}AnY*0C5kkXO)V#Dk<EBA>SnB>Ned~)Kqhf0zb^2_ZDt6qe!i1|1vXom-xMYDC=
z#5xW=?#>tyuPf(O`eOegWR^?*S%!<lJYDw76}@*VE_UU@1G^M8B<57w&f!<0F;%=U
zNm#ZEW!Pn17Jjng)|t3cS{cMddhvIcH=m<zTPiNDddCHStm*Il{f6$15Gqi|uGmA%
zM<s#@<Je=T6TYa~%`=mmQM9;|k8qDeU;Nd=S9M{-tSsVAJKuUZ5$T>t8zOx<m*PRO
z7==>O0KGl03j;<{S^rv&zmHPCu3ui4w0WiIO+iBH7wXzWMhH(d0Wh9eL1nRn+i*-f
zHRu(Xcc)qi8r4bYsv5x-imE&m3H>zUe}59Ds5Ju+qkraHS@4?hnlKu^a@zsS^+oy0
zb{y&5G6H^nFBoYQDs3XFbp2+9AAe1uBV7KnI5FGJ0hb5*Zb+K(!O4PPOOQTm9anoy
z@q58R#*h)V@!xhRZXN!CE5gs0>|b38rLmaQZXgnUz)f;v*sQ^ui#QJ2tbpv=(7Q~k
zi?v*27r}vQh8|_!_y}N&3zyS@6sXUO?{E@Cgmh0O(=z&LOWTI3cF?~JL7^t5_al8V
zpE*k_9I^Hr%1sRQ(2~TOrmx6V4C=fmx1Z@9q6TXklJ`5_Qs;r5P?+gnD2Q=TG=~ae
z(+T}*ud@(rEs%cZ_Wg`0h0uLYSN)&)*55G~DMghzRdtbNU}Sy#7*aMPE_PyPrR#k-
zN)Sve)(V`Jht>C!M<%evn)IO&y;lbH#%@DgjsAz2-HSQ1fA32w5mfUb!nF>@)mEea
zQb_DX!0WX%S#GVzo6PClyN6Bu4i6uApR4rGG@I$o&cjZY4m>(mulO*1!D7*%{L0{r
z{@nrfoM{7jn{B#jB!WIwl{``fV*zh8JUHP#Jn=J5bbX}gIWLsL)b#-+hDhtxjh0mR
z+0SJeH_84BU#q`F1W@_jCc5<rLfOp2oyWNR+!l=Qea-g3wSe0@r+$v`Fd+yweGB?c
zWoJj}N29HgR&=p-gyIeJRnG`SfaDGTF2QQ{*EN&5tkpYYe_17xgOT)e?h9Sa3v#bZ
zV%29Jg5&Xk+4cyTjivyFGc%w^vGrK?)_q04nI>$y>42J$-{2TAUUWUOS&NZppBJ5}
z9d{?SW!Cwh&xaohaAxEBrk7Jv2*7wuP@94HiGMtE25>y!R4{;R;X6?vQ=&B?A>r7$
zfXdT+e4XBC4Yx$)l-$3MsQ?x<?%ex@F!z$M4S_1GS~aX!i%z1<)#LufG2(UbM~XO~
z%SHXVxxG$*x1kk*&-5)*=AvDcPA61{rm<>7Uwf>6pC#jg4|EY98Kbw>cTiR{p5nQ&
zlg@WnE!47U*|~ZAZ-#_EB-K+$Y-}UX<<9xJ=dz7=hHLs@m%Xqc0zP)wjxFaT%PMs+
zX?FnyZ#wXmH)|notK@tF%0Uo1xazVd@r%1<*R&ff(mKwewU^MrqWE&ph7-+2XBs}%
z9b&4Dw`NsA;<nTNJ?b-30bgm;tOsM4ZgHn?`Qu1VBw2)_n1b+{i%T^(@sOH}*?9?X
zIVSb^ndwF>?b3n;RWln4*qV>X{xg^TXFTh75-p+vy}<nLi-2DcId10`5HL7dhHGOC
zc}ma7;D*{*_c#+AA{RZTp{0##th{^6!_7@d>1LU+;^qwkjW61VPSnO8{KEFDmk{|8
zeZe6ee<kcTl`D&(i3GzfzS&Z^g`W2;A^#;1=y{shc%y?P5RtAXUWWtNf5fS+e9?GU
zU4)*W+2QL+_{*yEMeFT?pvP}q{5Ruap^cbk>xc}IRtM6n-G(kFS9Q+pO?rd}y2O_$
zZmVfcKr+uOa#$V7Oqi@=+>^tKSJ9Qmd-)zs=(XLj{U}IycS%qrb&#%e-IUMW*LpO?
zy1dvfuUuqZo~{nkO(}>3uEtks2x-7-dVb4dubI&)xS&K6yN)=;*G1hse*Zn8_FjWG
z$9~rVJ+E~i(`LwTEW@l;2CU<8l{sjQBPh(F{3_Wle#~KNmgR)W30DfP7zG1bRgG7{
zVUrB~ZO$Qqrr>u2`&EwwpR|AUbFigcMpNXQdACx0C!Z7^CC~CZN`#WcD<^=yIL`Jv
znnwmP7rlW((baeptW<#neT2~jQj{@9Aa^-k<!gI9ZT-t>gW!X#tT?G4z(D2v*5~#1
z&%ptERuZ5V^L4<SRKo5P6AO!}c7?SXd7nj9eG>@G#bmdyC44-R+HquzDGZ;e{20ZA
z>QuD^6sRG)>qbBJYw)9}*|>OO5=S_Gyz_jQ2)**yWRo{vDJ1(88d$3~Fs%>J8yE~o
z^h@}H#ODeX&RbG;u!D2jljRH81r}mDmRjj3rWgbOB@GWIRXn5T9MwId!D>0#ltsP5
zz`WsH!L0S5K0}aCExYfG8j{6b>m8LGnjS;=`!a7?+@{~;F8jeIP3$QmOtrp*nKQ1q
zI&NC`I&PpmZ`HDvAwJt+R!eFnX>xQXa!0(WswE>dsm-EY`QZ7aBEnPO^quPWs`6sI
z@<DcZ_SGNk6U47rI+W)iU)%`{y2ZYSW14*w|2(TA=HJ}M!f-1Vm@hf+S*=}o4>E=M
zLA5?4ZE>`qD7#(m6Up-p=_l2Ck+k{atd*e5cFwZm5P}|QXupuykP(G{>aSm<usK+-
zTdgi<Vxh(=$Yi{>Z*tghg|`98F%U+TDq_F8dv%g~D3|b`Z)+6}`qwhLewS!Ra=D{0
zUg39{Y0<`pj)<?fv>GaVx0{c&s9D97X|#R~VgdCij3S19;aae^xiy->EuT2wF8s{t
z(FqWY%f%19G31?(sa|Ab*%By7z>?XG|H`@&<I4!s$=QX6jI`Q_>HIJa%A@*_8{0x!
zvPbk)aOw^1FMpOmLDV{jm%|-_)0t9U$sjv{gx+R9{PCzhJJw$VK*=x7&|Y-SUzF9L
z64qwO#NbKEK7WPohglL~7HgWD9+=zmt~o_ToVZYi&?5K@&}&!X<Daweh~?akdkjSj
z`#LlcHPmQ>763X~0)o8;W?p#^>l2$z`u`F>L@*YY;jw>GHDpEf8`F@d$F^@guHV}3
z3}NK@H+elaQ1}PE`AhUVzge-#Eh|H=(VfMt*|@vo<#-}iikJMTbAPD$pKE`y3|>uD
zk*WK*WK`^KDqrU=uM`a+LB3p9vKTWF4hmbawJz6W=|6HGL3y9L>x3(+wnuO*rJH$F
z=a#*_Jiz}b&9XTbK$al#Oe7Gh*QaKmoQQ3yFi5*uHItfngCm65Ur5*~*|}|RBChgP
zPqj$X`;?)hD>_DdP+?IBLG>0lV8yGQ!dEE1TlhG=-;u#8blb-w!Z;omn=Enwf)wAM
zWdrH_ZZ-x`F0d%?`ByD`nnSF0XPa5fK|dkTbE~VZzoNwzh_5<mRG7Mth=0Rvy4~~3
zIO$0o&P!i0lA8Lq>JZPgx?Zu=B)m2K3FV<hLVU&7@Y#z=Xs}|9R>81MfL!7x8z+cq
z=|;xp)H|pCAMV9}m^BE{R$`c=v~tFL6gL<-_^7Y}QhHCD-ERSLe0EL_^zYxlivWJj
z9M)(UAa805k<e%6@KO9v9oVHVCKB5EaKW~|dIm6F`95|ug}s8u%;LE?U2jK70^31P
z<6+N)V<1M7E1dcu$5TqUeNANheaBYYtOs7f$kOv~&ntg^HANqRGr<pw`%QvVmP5uw
zE|@W3U&gU4*C^dYF{=ZRIB{js9i`3pUk!^wj6-@v?cqMH)PeWk$I*9e=I`vBj7j&U
z_U)Y6f{Ux&o<d>12AWoDs_{1a_#@l-mw?R~;)#l-<|SatqTd@X!eg4i;TIh^oP6g;
z)Um|D-7|6HvU8k<X_eo2P6M;XnXnzK9%IXSisn7G#<qC88xLNq(%|XEW#SP>xcpD|
z{qG{U>KYy3uPlmE2NVVMkJ<q0nb>Z?m$L~7fYG9P>C53rr21y0McdIDZ@MA&E>f$=
z=RcGtKW1NFboXs#rhtW$t~Y|=6Z&TZvv(g}?vn7Lth<EWF3o0tTwFpVUzeCCzgzb>
zP>|DLBJb_7h$nZ<c`%{@ECNxrD~;|m#2l9g8fJoEbVaEHy{9+&C1L#)l#Q{Hb<Vif
zae}r>f>aUDG@2PZ4eKS_V)%L1J*KC~!j$A_pQt@^=3^3H=;Q>Q+mvfunPgu<5PI_u
z{0KL$J}gnZg)v`T&$$@ldzDflEH|pz-!H~2bTntV(`g8wSZ^>I3M#c_c!^xzV}#=y
z^YU}SPhz<n357c@6w2toU}27SA}p*g7_!>rjkwZ!MO#XX<}~$fagz=NPw_C--PbBY
z=FA!Y^4tEij`x3gK!1bd-Z*ZvKLM(7Fwlz26wdrPJoFy~cUS1Ol9q&qgoM}uw2@jC
z%rFtPelcvT|5nfql+a?P2=&wYI(|O)sg((fmzxG&j_;zL;`eOE4a7gh_4r&yfxl9+
z)3K^bQWvR>sUIUKTg~KxK^SdcI<!68uX*fhwut^@o^)HhJp=2$D%;sSKnsx#sVM5o
z85qM=Aba_@7$Tw0rFAi08;Fa4m4*^cqs=7SeW`QDws@WvV(vte6?^bbXuzZ`^~8@Z
zgvdW&zv3{{v!KoR`}>`M#xLZ#UTB2y(|R*q6v1<ZWa}X0Evmt2e}!@&4r1ZtF3Avk
z(+FKtAajx6&$xy*$^>M?AErj$#Y-vzfrrDyOU8RCNMXYXwk>s!qp~{NcDDX=l<r%L
zXHb(fNuhMV>bu6Ab`p=|2Ce^GdY@ppg#i;*1Lk*C=-q%bAbUrj7_xlTM=cutUV!%2
z1z=VvvP`6X8kPF}^;QdPe0*VEk2l%%^>cT4NVDqRsbtR9e*f8@SZNVgA_||AC#tsk
z66Dv-xd7}Z=1plln;aWgXdlQDiW<xx1JAUDzQfQZS^DIYH4i4S1tp^JDt_Z&L<6q5
zUZGhy?J2=)6oKS}o-SQh8e?#1e&Hl%FCJ<!J%B4$F^avb=_CY-T?WTdpD6xS_&-8B
zoO~*WHL0ThYw!5<_8m5*>hUxR<C{1WdU)F-Ylo3rikMELEZ7FfU2bJb8>c&RqF?%d
zi_+@hk?u8N{Ay%BtO^Z7@1Y)-TNESqq;SXAh`Za>@SURPJ-j97bPeg~U%Q8(KSxO8
z@33h4DZDb9(gXwa(va%xE-_T@7_tVo+lBu&r~efHRR`!*uk4?zt*pTTm3QbXC(b}7
zPKu$U>K<@b6}wshh?uC}_J`2dzdSaon(waw#J35!q@&4h8!tH2?y#y8V@@jnn9u(7
zwN_2%s96#nox{o*nE6UQWIlEL<wN-S!hHC76zHi(xe!`@wf$+?_(#H%*BqPXnvy#<
znu4TVNC2af@O%gR4^z&?70oE$kW8>cYx(R;{U6~{mEc8lYD|QgSKSKf2Kdsr+si#8
z$F5@mdlnX2mA2OHH#Zt&l8c{%UCmK*!-%M2#On-;`o^BHKMsy>gS%e?izR?rWYVLW
zP)#QKv@HZBP*OtJrd{2k^T{TFuf`o?x#l>+)wYGjcfN`Uq2eht&o<nd=?kb8!YRa)
z(zmf5vwh(>eTTbnmp0(<FHB^vB7)1Rgv+G$`&*^EzCG%XqslA6dpVmg6Hw5opTi=)
zZP~-NM##M3N90;I2oCV>%d#F8`yMDXkdWp~foIXxn!Tb%_)3kiV?>@Hk!WfU0>x7~
zaLMjJxs4EiNT?pxm#d<2Yzsq=z2mre+PZe%y1eIB`CVV40|n)F6Z<F}_L*vew1@ty
zD$G1I)PaNjTKyf9*Qp-TY<;8{43$)>fX`5EWuGgfalDAFy}egsk(_ZU)P+e&Ma4iE
z7VRWpnMp`b3uwV;N6X=uRq)6JTqlbn`g1iK>gToG4*p+l5e^UUR8v)SY*hvi&g}Gp
zp1Wdr;UUux_M!=QVcqZxfoZ0TTKTF-A^VjiUl$pB<tBzg5Rc!lo$7Uy>2N#gn^F$T
zWTZ{q6Y8mgzU2NNH`IOf_roN%iCgnuY0dX7Y|YLEv`3vyH2S?U$3ng;tK6Npv%4o-
zt{W5W(o&Wf(!Q-BDL;?@&;V{sg>K>yic$Wf#l)47F|j=&L)@Ng_ayl-Vl-`C+4x>0
zACI=w%RDom#N4FL(XxEr)*G^FBFFUSEwx%HKjBT+5yEuRonlFd4KVo2SyEu4Q{@@_
zstkE|LYH$z=RBRen2F}B(TOyU8!qw-Ei16Z^uJZWzwU7&GC!_nE3Etgn2OTkV)kBD
z&B#GYyphxc@sK-TF=(yft$ezJwtrnIUFyJ%!e%0<Vk|B#j^lm10~PsOMb`70R7$$=
zyi%wQrg0|P=W5w#R@JVpM6RbC^|Zm#VBMr?>@yUBvj(w*!;(_qs!?DX20%%dW=QSv
zq=`N<!Gla~`bc;j$hIxtaqrF8J>WEUot&qfSW_WUH&zze@Vto@`y+=qS$XFh+ev(r
z<e@^A77(#xM;5U3n<IJ6Rv<`pSy`9TO=0PScPC$<7HkK<TusxDOH>de^m6Q|xy-(`
zGWNca-bK=2=Aki!B2m<Tb?N<_eGW(W$#*|^4sks-0_FESWa2CsZ$G}iosO#Pb~@Lw
zby!zfle^%p6k^^I^hQ9i$Y|4yrtE<Ep8n;303bs>;0xG_V3{om!+I-X#augN`W(13
z>?L+WlMxwH!OQ}P+|^sdwvEf0S!24?8&c`MS2xqd3u9cAQ0^4=OW+ikAUqk{64wu7
zgJP6S>{+6t9~c5XGy0DhEd{o8Kj7f_MSbOg9HHRK@oWHDI}2yXIee?pNk;~`-(1n`
zpJ)x-hSjM7J=FosL+)A=+a2R-N|O>MUsz~mxZjzW{6+lqd}nToJ1h5U4uMys>H?;t
zk#aH7oIYIqlZ4vdN-wFWC_iE!2fl(Sq&FLX9CeDDD!msSVaKYj0G-RePyC{Wd?IRU
zx*w4_I{X_CWG)AB4_74)3saec8r5YzI;Vy}3AWAQgzufjj5i3dK<LwB8q*gKvq6jf
zO>nk7dyN)L(4^Ri_#hQ?P07!N?4ebT5P4h0%DkudsYnUL1~UsX4j_rORwr@0`P3R_
z?L5gN<1h#OjyTj>H;UPchhk8T)V-W6C2eO{R33U^Sk_=(%fyPGAmTaj4)y2HpT)P6
z+%HC7XK?;<&KE1-hb*p{f12F|Ea>O7%mjD79DjtBriHi|tcp2J#%%C*EC8QLp^@6}
z3;Gv#&N`;my#u~Br>dViEkg}5IenXVkONlMdh@qpFytlUhV$)g4soSSI(vxs2aR*T
z#vF@($x1xjR%eKiCo`D*Sb>4~In<cnhtUYOK4G@U*Qs+3Q;br4J6<@_1PA2Fm(i7!
zfS^l~I=GMQnj~+g@;l3U6^0Yp{T9)h4*DsID?t;tM{@=fCbUxa!oFKvc&C5P8MdYN
zzE=(Lv-NlXRVNC5g_>kmQrviiyfYV$rZu+qaEmc+Y8JE_aDW<hW8C+OfcBEPMKvaR
zMT>tH;J>ZdJd__-bt*bEZ;HY%Ln|~=0ayGsrNrTu9;%%xI%)|;ChvX{5|Z=BXPQr9
zTh72_`rkO&cQcs41a=J>eOk1JS;|eP8FxxQ7ydI!LC%oZ`*x&cMJmX|x=<JcL-eJN
z&g^e>DXEnk0r(w7x<4(O=f(!R7!ME23bFj1{D$9YrknE+3>P@PklKkWqMtEImyz4F
zUt3*s?>%@my@*L+TNtz71+7V8{!HhbAgb`mto>%VrV_r}CtsHtOEs!rer*z1vPH(3
zyk^j9alSqz(2+$QB>c-ig2>VCp?!<j88+?CS^Q1q-2E1itc!8MjUA6rSZ+_X0l2;8
zg+bFw>K%U*L|zzwKlD5L{nEXVHSJyzjZy+W4aUapySYA|CiW9~d|%G{{>&Z~5A4(4
zjey5|8@rZtshJBI%6Xca6b05C>$sU3-T(IY|5UvqD*x2H=}O>{pNvhe5Wu&uu%LiE
zlX<u>S_~EsvtJA|qDM1lA)>COq+}#^KvGha^S_N7H#u}LjTV*cuVT8FvrZ30E@boD
zPPSw{D#BjnV!FhukV>+F=wJ5Yp~G$QTK@h8VlYf!s+kfzm}T>?n1obbowWR2-N#*V
zlI|J)932g`hpjXTJB0Y1uo${JzahKr2)PMwU(|5IZXHDf4JoNFo&{|(E7S|Yb&S4o
z8DtRr6H#EvhtZ1$w`UvT-Os7kPE$;Cnpq8oof{B7P3g`?BvV>=IL8bC(<^I*<|*L$
zS}C&ln<A-qd2K2(nNF{QpeoiXr)%#>RU3sxfl;n0T;=q)9Mlw9cYGfRi>lzlX4wYH
z{&<pMu9(&z3yV?FMNcF8uk6e<SMz1j|M!4~`-`Z^8jp&J4Xp!sis!>Y;eeRf@%xd{
zQAOL2ZlAOO%`8LM+_xOMK|RiYU$~1B@I%r(&Nce2hYS#YWOE+D%sx2a!Nwirb7@E0
zqek$0S{zUmaXw>XR>wURr#Df;g3o0aR5_qV+4w2U#L31`+7gJZ30Wn3AK<pQDZ)Cu
zjr9JNz@wle8gj>$GpscWOGw^;W2D@-Q=7r;roDvQuPN<;KoEFWj`mSSa{JCf`}1mU
zyz8%yeym#h)ohY}f|p?DFSP9F$|mtb1ID5lrnaqeG2#f|LO;dh?^`7yI!mKOU&X7D
zZfyC!=g-w;E=K4&B9n);#mZ7TUA~PU?DX|G<}pP2LGa>6@iT7%B9u(-LKPvO2D<ny
z5bh502rX6m_lx<@;}bGWxE!VqP9nJm;KDA&^)$j*DH04Qo^nm;sY1(7nC-P@`;-c?
zKs+|6Kw<jtMr{QfDuO8P2;5OX_~f!7h=L~^^4c9lbUsddepbXpnh~|t>9vpjZB#5+
zd6?O|g_+ev^4J2yYz14)`lgb?P*x=02Hr^5SRix-e^F_O*CXsLs`trmL4RMD0;>?&
znDK{?fi7pyZ#s|fp&AAK6QVY{hJzbFotASqr+R!ePo20|dFfQYB4nj23%llD)Y$7*
z!t8r>)gTZeivm}+SOD^Cb12xl(yT@ZZ#msdqt53$4ZWE=P(I#<4eAz;wto?&3e)h&
zAYr9l0=KN4M98Z=F$?cXboY{bC=7%Ob77pEhfgE|fnRpJR>tKO`=H|TP5CF&mDL^c
z={bI*T#M>b@Q1Xhdm&4u@6+}UB1kcZG=Acx#s9hTfR*inl{N%GR|@xjd$EDPWFL4~
zYR_<*|A&^lI>TH9+L%b<+mL?keTEP`onNNXrG#w>7Lq8cVY+-!qezr7`cCtW_os77
z%<TvD+@3pJVGr4s-5XKzjnXbWv>5%7GX`N_RhxHSp@L1Eb|}?jOw(5hQJh6<_0>qp
zDKRsnuA~8+XjK4oRo^WIX!-m%>Z{Mrn7&O}vr<5TEUNf7QQUEp;_+Y1qb6V)kJ1v8
z3D^#|t<-RRB)IJS{Z3m7F?nSw!Rn`Kia7QJZ&!ovT4%0!VM1>xH!-VF&$~`hrlS1~
zFa`=xWRLTb><V73^T>3?gT<Y%gzT%eU>lF5!-U03!%2Bl(Rx(oWX`s^bEUj>En9T|
zUuXJP`P2Uoa<YF3xGx%lqD7gKsSNeVMK;*i{r*3$-ZHMLZfhTwkdp3_+;k(--Hj-*
zk#3Rh?(R<M7Nonok(BODcS^^*JkRky_y7IG7xwz?wf0<dUSo_a!n^m)_BHBVKa(`;
z{Qb=Q5dt__zR8Q^>-Qcm)X{bMQ*@L5LN;E(NFg430+9~9AqU*uQ?z$BDyZHr9%#?&
zGh!~Dx(tsb>;}MGfrf%?5u6<XTZJr2=1wdKs<wS6@GZTtdp@Y^3zu7=^*Us5EsoK$
zbHD#|^LL?hgl^T+hCVufiIk;c-p6|BJsR8=REA5Y*WFevh-x=*FtaOp+r8rtJL~Jm
z`>g&eKW!O(kH-{1XQj{ho$F37Kd8j3=l$zru;3|l5^P_Pz2iwR$CFk@rcbTra=H$+
z^I1<}`;`}92Rk(Yu)}!dnV8wP8{7CX>{o_TWsE#oas<q!GUh;X%<a`$ciT<Fy5I$B
zVqcNoWimUd3FvMiLxq&@a(Wigu5Ic2_W#pHk-_*=p|Tw^!&);Z_W*ta<e_<!#fXwL
zQ2RzJHOPHG)=Wk<2d{yIY_V2=TJ&=sw(OExQh1QADkc{6qy+up>wn6n^U`GV5HQBj
z9PQHG>s)kYAaWc>gw*MSK)N)@*7ytbwF+UC3-n|Yx1Wk9+)($`_$av|njuZ7fHKy@
zvMjccwRhyeW-qV)ebz{wsx7wLr!OmyLS4fOL_UPx0)#z$k*4Rdi*pmWJYNvjtLE|h
zA!z7%ud>Y{^j1;cGOtfypTeF%sSFCt<KfO#HzN%kEKZ4LG9pDl;(_0dq%`y=w$}L7
zz6Ucoa$M{=L*#zRZkLo{2t)j3BX25)_^uIqxaRct;9&y>7V?}jv-rC=&$0H|THXbx
zq4NgQ889fJnm)~`G?KL`m9Gg(^Y>qAx$EpYy!M~J+bA~Av$jQD*eC_3?DAD?Smieh
zN;x^DhsEQwQ?B$1!Mhj7rT(CvVsXi?Uq8XL(aIER)nO5T{4=VOgWXyXJ9!EC6l02p
z=uz>X;Z^?lkfVC0^Y(&RmirvEBU2taROl)7IO)_&m_^Sw!>0e%orgQB{dS+oxf&X*
z*Cfr%zPk=4!+YLsFexN;gN4yquM8@&$us_Y^v|ClASf?usRlVmopc?yV?5ptYv(sv
zWafuyNgaa%?dxB+=SM;=PoNTlVfw>>c>~5eT~YOl`$SE>cNeW6<*HQIAdq)ijL1p0
zj+(<f;de5mi68ZQGHQd9Ir<UWvqpEo!GL(PN?GOJT;8UIU;pukarwBD=m9SQS#?s^
zF-X<*ZOFt&2-Ro#tEoH}E}2b+O~k9wf(fOMx3l7LH}!8!9*~_$wk`}+brPl<z!wNH
zHnUe8u&|E2O02?fx#vsM2s+EL7h*}UD#sQYNxwIvE&_Berz0pCi0(vOF5ZG#d;Va)
zUd0y?t00!a;S!Wdi#L*)YT4!gV4wfAP+gFrC8$D~s=4Ba^nd{3yu7@W)YPs4Qtt>N
zF00PX94>-2*kPwYnL#5B9d-3!ptZFD5J!THn3pAs{sIW!;|L!u9tl46ottcm_17KF
zMcuv!O3F8v&GZ#|#za|i5NM+aZ(DvDs(hK*)$khLkFX@+o$5Ggm|Kc*;~1Tji__d%
z_Lx|ghPSmZ>f8_O1Gjdy;UHT)$sLk)Dd!hh_!6BSbA`38^JcCO2Xs<V!%CC1BbrF>
zIPW~`A_mk71{r>Q-qK8A`LTS=>eY7)3h7uy7ZytF6>2B#%W@jmb8{deov7hvPYh_}
zc~RBHCaZd6N%OmXnnjONeOUkOL1fsLP&G_z_lZ;a`gI6ndt0?SXOE7~IA=nNk8@_8
zHPLHZ$dpp-a0CUPD_+wrw)!R8&MXgT?8V#W*bU{R$9g&m!XX=A!%2a?V_B`s*u#tP
z4dHEB$=|l$ADn6)`UhW?l8Zu*&`<#Oaj+FwQ!aLPQ|MhIGS`71+{CJwL5eaRMN5nA
zGQ+<IogN>Bo-%_da<a^a=C57_J!DmMVzpZsu`I6Qw#1SB=THJ+FSKLU^#HbD@e$6P
zH-<a%QOj<**L$b<-oqbi#mP|b`lh(D&Cfh9Yx8=G%7{IST+!U8yo!jrQ`>L>HDNl4
z;wWk&jv{7!@Abi_2<@`9q%Ee_+{YkseMU3q?@PBh9pZdp?#MRIUK~;Opzu@nVr|+C
zu_&k$uLbyskE$NUYyR5HC&I4>Hl#$Ls7O5(C}|mGpgBK<W<=AlGg2eE?JoWfL;Soe
zcx##O&PQ-`LTFcmHK-6x@$P-sjR9Uvq(tmN6O!qs4qUT2q&i)hR<4up|JM&ul3Jg9
zJ3rmvdBPNckksi2DAj;Esdd9d#n3f`NjmUS6e&Co>=E9VCh8fC<TEAn&(lMMj`bnc
zEiLWz7b!V{$XqbI_VV1)uJ+*J6Y=9temJOemf_?rMfiaaC8wc9WZ{R*GLz98RkZ>b
zI!{MYNGG1N4*eqH=DJP(g47<MPSg=xXhTFOS~jmyKj4CADzoEyq%&{%`pK#9J>3av
zU`IM9W;=VUi1B%*KH9LSa_eEWJ}A~Vi%9XO=^4zT^5gm{BkIikSunE0O<6zLS5ItV
zZVLn(bU~Gi(dpd2vWLR)jB(`tnw0jwc~|VQoi^!}`+zWr$l}MVsc*L={wsa4O>3dQ
zlD*-iHs{t?Ukah-aSIiYo)#<%A_5^cdA$lkD-!H()0?>{|CF7;JFb_AK}#=V;ffhf
zdVW~Z5oI_KMbND-txLdI4Ms3f#v7TZ2#`=Xa^Q_jb2)?y*4WPbzVKhDYQYC9zMvu5
z5?Xk{dV(5t?nXbSM80(4Yq*{9BTIJEnsbV1R!I{{A*_?0;_QP)Yf2FcXIzK7@=sys
zwZ(HjU<ehebnoS>1lPZ}u=I2P#>Vyxxh>+mpw)d6dA!8AYxV{H(CmTgkA(x1I^xvB
zt!_#jog+QH7VqX3>@3uQ^VJW?&bekrdjNg8Xi_M(vm?s%Y_7J*rD-a>fzZ#TRM3Z2
z#+X5gJe*47@{Z@}0o|7>zq~CMBQx(b=23x??_JcW9$q!plM3FNcy;_RBxeb{u8u>6
ziiR`f1max_t}!EBc3140v5gb2qMiRAK>rU;XOze;234u1(1wnT++BOKg?<E6Y{}+p
zk%#rEiRN<1RVN{e{E+zztUkbIM)-KVUQ^TbJth9y^XLJcwQ?-w#@w$|f5~Dr?Sc4>
z+BO~HLY>K)s=;ELm0nY>3Y&=r72PA(_X7{7oiMHw2cc0E6or;;dVmX;yRw&h(*42V
zRjL-QS4re?tCB+kcU21n{iDVrXX6OE!=$<s76@pniow9lNGv;HRa#M`vO%2)l0;QS
z)@sR_*y@u7DK36O9yeu^X9)AG%_+X%nZ$IM>IcItmu-DW=GLOcP-TlR12Pq)naXJT
zV{yKP-U~>hEsw!Be8U%J=2c*K4HG$a;}+-|QszEb)JIdz?j@zxA7vpnGtK$eT>}fu
z=XCBR#f-_P@>h3FO${(q=4`)(ym4@H%57;`f~|QI+#|{30XT{vBO|BKhx&nAL*IMi
zK#|W63=BjDO3`B9AIN5Wf(?uCc}&`NW|X;KvulS)l>3=<C}6~}$oH=4l)vfHn`kv!
zF8tt8upoLH<UzurlF%*jEfjH4L5nz5<kyIglL~s#oq>~JQs*%k^MPJYnFx_`&+!|X
zv+j_zDZu&em5~Nv7QXDOD=GzzROi?%trX{(o<AStePLOX(l3IUyaG|j&9Qz<A2_oR
zk~D--nOtN|Bpz59GQWCp%$w3RN6H?lIENieu4k*OPr{s6ss^j{!H={BaU`wnc*S)&
zLg5Kg+NR4eW%DKVqdn}L%~9IU6IfJFZ3+kYgKYg{MSd+%WF~sN(X<%zZGGl-^=5>G
z9Y0kE?;!~LVaTk;3ByJWQ*$qwNlngoy#lCA6uc3Ecks0(Uv|_u#jt5Ao)HM{aakt(
z49GJ^HI-eYvBTlnbwA^;E0o9ClHbpEAM@a1L<7C}xg0@KCcZzC(GVYg_ra$ugr8dr
zJ@*$bD5cpFmY-k&C}m&4e>z+fEO=uz9aS0i^G`gr?PC5*(~54Sb=B}pT*~eR-9d|a
ze`n#{0^k&h2TWyxS66k!kVjCYG&BhE%8RO;S)Tg1S(X5Yrva^3y}1xzI^#wT-p;G|
zXXg-rm3<;<t+IwslYxCnu6Qfnx!KQ=*wfMKhL*M5j`lFm@qDq#!X}4#ho&PG0YuXC
z9hc}Wy9wwU*6!t?ybk4*l4;MHf!929n|7{jfY8F3JR_Dzc}6i%?oRUAr{ZGkI4G@%
z<C=lkWiH96Ik835=|0Oj$5t#gdd}ox9$S=p+7@O&ojm)Fo_W)^_?%93++NJ{uNJ-S
zbN6QhaX(?LMma0d*i?@C_oxcS^*Ocw(&*F~o15sEAD*KK@8dOz#aqFLchxqJ9pKar
z<o}N9_W6xTREgU9_G$NmQ~E5{O-#FUY-S%@TsK|5RhCrA4I!?b)BK4}E>aUPK(p@D
zQ40^05A*7Gm#=Jbv`oV-|95%IOI}G0s=7r198NZ;3grGIww#kB`8ec;pqpr|jv<IJ
zTEFfyF)%WMRWH{Pk&t-(_3PIU8XDil&v_lunbiJo)6u&m`|t@j09j4e)V>&D_c+~)
zgQ#b_T#%mooungiZdzjw#iRLG33J`I4A7;KK9Qi3;xOZRO-KB?9LYsxaU0KCxcE!T
zTK&BNi?3;EN_YnQ1o<^GwFyqFuXIw9P(_UJz9@B7S;AoT`=z2ckzn?UVr$AAQK3$D
zH1e*CC(ilGUD0RC?3^{UDL(=Y{ZkJ3Nl}~&e#GrHbB#_jxYoRh`K?XO+B|gg)Z;Re
z`U#Jzlx$@jix7jjzOh+=;8<Er8+Fn7A(5n9JPqmucV{=IeJRobvF<?2lqHYUi5X@N
z2qIy6xa7ocNB4}>W|WUAo)}O24{H7I`SyR*mLw&yEfckbZqa+4Hn*9WcByERzNoi+
z5i`9L6ESxVV8JzPYshqw(zoL^?-x&C)<~dQC0+XD^)f4nxybtuSir%EF|VWz)LmKe
zL&WSADpI#~q(_lr4<*%Z53ElM0rd6v=z$b0b3h$TK^b#uWFWCYYn$y)(py&0f?@fs
zYbF*jhh7`E@j83yJ08-A>+iX`R4_EMLbrk=yX5w;S<vGC=uAjn63%7!`TkQiZNF^A
z+cj&%4ZcW`tI@)<O?c%;vr|U6V)|zuoPO2K$NU%}ah8Sk?<%OaZa{u{lSk{KDXr`w
z7yX@?8!`0jy%GD6X_UDWtlH%4MA&%q)5F0CfYG`bEUooS#||Wz-q*tuSkp1l6HBk~
z!@Ik}-0&dYbT#bRwtjQR*)p@66#8#B>OX%h6#mo5iU|##SZQ&NGyqGl$I~bgCRP@Q
zn3|YGRD&ONK%rk<=E}8A+%<&wM}uMMW2rRqYf}GxnKLl#7FAhHhhho3k|W2a_v1Cg
z?ct@m?b9=>)m0>f2G6?t)OMp_me)mFab{QmS4O*P5do}*E&4c&el5Q4c>nWOZyRw@
zaXI&OpCw##i~o}09JqC!dmiH=fso2ptQbe8B%*Xr^T>WD@uF0FU}khY7r!qmH{nk?
zHLWNLJ?j{t-6*4aj)TfY9iI|ac&4w5-9|jJQUO+3PL<7Of`|n&p(qVO%kF#r2s41$
zjDKOQKA`5-?n)}x116?A^QBH?@6IfZ;H=5tc|>p73R%+aaGwBN&hVp%;xM$S!^TP4
z7`fJno^@mIyt2T5^`kz(0@Mkhkh(-GcFns34CxH1CMPF-fli><BN7`U?Ab>c8)a0$
zUjw#k{sRKfzj1?FkdF<>4yBCg%?4?k6Fvb@#-+%S@dyTX+#d0|73JP$dEF?8VG~KZ
z#;Ry&&^6aloIN6dp-zVR6S*hP98s+y&!gHN%Qwu485;a4ZDHl#74zSj-D-=(b+<}g
z&5*Ul^bg%PRF-;lROM7o=65Sn6>piwPK@i8LXI_Dq}(f)72Y7B?M(5c=O~?{xtW~r
zJ}ECt8`*esgumi??h{6R+08KXXrT)@Rpqmt&-9;`qT=)(>Hnm~zID1xksGdlSr+rI
ziyb~2cI+M%u5n51Be!A}MCm*IGeKLP_mC^g+K;=K3}P}@5132RaiCfKAgN)I*FCQ>
zjjAc`N6${Vn3*s^Kfd*ScdTqeq!#7xvh1vv`UAiU9upBp4XD@z1S~1y!|<xaU*o;#
zlg9;ulD_;_!*oYFr%E#3u(_R+HZtb}HoAX49gk6o9Sk&FI$jP$yqc{Cgq|+5DES3L
zHLs|ijd!(S+enV`p8}{Q^vW<Q5mxvIl8ShVMETCtMyxl%KZzQJJn@pHgu3wjO(#g7
zFtdL1UAFf|816FKvJYyfmp}r}d91d))V$1BqD+}8Vn*w{zKPKL>z1ACOHG8nG&4nv
zOK!S2>!FgO_I1JKMjTq(FC3+#oF*CB*zkr{m~Ji)So4RMRinHNrFOIbaOA~>4T*R?
zM)942-VkWl18Hi0ySJyTgDZHTVC(otM+yNKy!~=#846utCj$hk%vb5h1M6SC2?kB{
z(A3!`R#v54=?DMb`kyJXg&iyjTaAQ8$oQ^%F><@t6R&7aOlnqInj3zlq6JNFl7W>K
zD)2V<_`{=BdcSx9K8ghF8YQMH@_1DxfPcqdKG8Nh`h~R4vLv)%t8F$)M~gMQm!cgv
z@4MhEt@fYE)mO3t?RY5L1uBN08HbbnMTlzY(6f{4f67cX3?Y}ru7un&pyy0Anj3KS
zZ}ymk6qw4yWOmv7$U>Tc<sH_IQ?#;R=<TLhN3x8Y-6_?OBtjy%zR>=O3fIbDYSUuU
zfz@F0F-69h4NGqGzyj6Yh-ZAPh&4U6OP(S;DuhTs`E4QzycTj&ky!x(W9Lp0S)hMj
z`CHVIfN9UNEB5P7wtF9_<F7H_2*sVg;x`S!5B`iG=Mv~8bJi#?4GxDo1MOv0<(^G5
zXyWuS2)t@;`+L{G<0AvoZbnsp+=KJW=Vj&P<%Ruz0sA7FzrTOKtbv|hCwh+o9XW6q
z3O=5Rd0Y(9pu2|ws%?T`)VJ*U7a!%q3}#&4Z83=714K%S*pM!hcfT|a8y(TnbIkyv
z3Wv1L?Vh#$A@Ne=D&`%MgbwwvI<<kEk+vbHTN{_?6SAZDg=jxBX14-Pfi%r0?j?bc
zg?(CT2x2*%i0Zs`$X4Ws-AHh-3qLAiEyI&id&rauGVFzTQB}_R5=vD}@tK;T_wNyI
zEqA1XRl8B+!bz?hwnEHl{OCx1?nR~QMl_ho2V%F#C-KA%RMeAiO0J*6Ba7LSW_L6#
zxUJq{p;tiI(b|VzIZH9L#uUHp2r-UH8~-R_>F-V+tO(csVDE;fOOjDE@6zQ${6^V=
zN)<;_n%}ZDMDWydOL)FjWPV?SaoE80Qn2x+eOTD(H&}W+p0Pc0`3RVn(#YUPlTCZS
z{XV8k#y2aqi^yjIN(j^%quHT>*AI{BzxV;P^>ixmD4qd^;14Q*l1+Z&-AxB*4Ye(F
z{-9bPpDP~Mlf+%^rkm;A)%UNo!*7wGF^d%bXbhWHPAYzAZWA=EB*Y)KM4wQrHwAPb
zZHXKJ>cE|@=V>LOzP-KTs(5rw#Ji25P#u*%c3eB~D{imH#)YDi5?SwvK)r+7zpLPk
z7y&Gvuy))%Vu`XxlqI=4!QHV;&}A9d=Pe<cSI;5*-WH#v$fZS)q9QYodqv`pnG<qO
z%e>hND$7>=ypoUsd1R@FBe(K{!g5BdVh5yjFSXtO`<)ExCM{*?GM7EtP0@)c^zuxw
z<^=Yt8T4A)hrn4q({Lq+4?jt@RIWO-_TMLAvLw6PSn@|*_9*w(JX$WkRZ*j{$<*nm
zb0b7!pIDK*;<7?%s-l62Fu`n^eTIU@z3o-4tc#mhZgk4>V?y^epEJYkX(;AsH({i+
ztNFC$a|cb)x0^c8$Sx+JLfJqNx1hW<w(f$fZ?RqYPuJ-Wqm`2rT0#|5Qz4m)`C_&r
zH@CZT4fBWM5mf*v2_#-sxp|TFxgNvsHj-;q7|6;akCI?2On?H}{`CR~V|$~J!gW^y
z@(Ku6EMxkkMAK}otCd11j=ROcW#Qf4lGEVYgywefd>c*0%KKif+bk%nvE@58>iMM?
z+ME!DtWIrfS#<|}=-jFFPF*J`jG$F<a7{op_ybOUcl--xDlN>yWQcy3@4^;ibCDI~
zXgy0=Ri0D>uJ%oHH&EUUG8ySJ<VcGSnzp}Q7`#ckh?9()@Ax(4WFRC1fkAdijvAi~
z>h=|@(-*IK)2K8K0lPt&N<nV*y^#%vh#zY+LR^jtJ>#NRD1;ZR4vk}nv|jiLpp^06
zB{sIX8rzO|aeviRsB8`dJ!mp3UNp+q1Cj)IY3(N^Ky6_5gI2a!n)&>8VVrg}=Y60H
zelqLC+m|h>%~>`!DvL*<642`Hz!!$O4~e~+cY9Vx_21)M3`w(&KeRBF0@~PQ+CXDQ
zSQ{y+VDixIATdIwEGt<(K4tU~8hLhvs^#fvLn|9Vji6y+_S<PscTw^$gk2|x<}0PV
zZNqxFgvCS*ClY|UZF$4RDl>H(4NwHITGFJkcS8$<`St@SDiskJ>%!148mN||Y}^TS
ztli)RYM~ps9pLcb)_PoW--t-PdAPt9Y=5z*-(mTnupHz$BNbsBcuS;d@jYf#?oy|S
z+N)rGdvKX`Z7DtXxGb8*9(wyqi#nLVZV8#rBfJDsx{0VolGf8{f%$T`$`Pe9>EAjQ
z9gl3Y%Q*O<c-(KHBBAu%YXnBItwqY;HXV-wfbb}4)Q0OLmrx;&gx^;KxDTzo<Hk3Y
zHh1dMzqJDM3L_6T4f{`1&_rzNN&J{Vp5vmr(c(~xy#E>;620<$AB%{H_}GW1OO`4R
z*&2$c#?OGwj|cTu#q>cc^yzqeOTo~~p;ETS##DqvL_ghJ!@pS8KvhoD|1;P9h6$BJ
zP3%PE6hrH^`z6@SU(2w<`DW9)+#x3&>LmS20w?!22g&wRy$VB{BL-M6o0F^L>9<LY
zurri%h#L0qAl6Lzh}2ikH`G>!oYTQ!p>7dB-{DHy!5znXBDhn8xG-$k!*QaBzfmbr
zYr^-LvX&xS@6|+sIzs089#_8svqs!c`}y~UGe3VaH5*A!Qz!_I;LM6Yvn#6d&Gr=|
zE)h~y&BPTy!r7<{1CqPh`_3+%1=w#a(sA4}1vY7`eLrh+8%0hb<oT!C;`d_}#jGSg
z0xDhIjVy^k1;=9aahXLvu-ffGa9nx9^MBP;w#$EH0@B*#!GG*X0FedZ%pW%>WM#&m
zm{W5UA%Tp465keTOcl<W4-UR2Bqrii{7$R+yIoeIV4#OdhZxAXA24i~u(lu%QISWx
zxxt-VueJHa41~fkITE+%X^&sJ@99eDQIf^b@J6D%=Bt_882G3EpLc7q4wK&YVi*Bp
z&W<QCh-UKBG|bo|7LfXFNeAfV;*qva^>k;Hxh(-}Y;TO*>Xl;9S47MA!tSBO(2s2=
zO!kIcL%JA+Q`*oxQJ$cP(^1elsk<o~uF~eqerDfG--dW^<eE9+Mgz|g!nQxNEJN94
zr=;b%<epjdfnJXIuiK8^4ZqT3aQo?*OXGDq5SfQI#Ihy^xloF2dLd_TOOC1HL21&0
zTmU#CAkc_7YPQGbnBOAAF#e?nMnCbqSmpmwBkGl*(>Bvo#dJah7-7!=UMm|Ln|^M*
zEGr+m50z}21*H>qGK+4%6sczbz`58|_P9OMA0+!~fcUkD9^%muv)6qf)2b$f!DLDY
zEs86Xpe_S>U#_f^Op$-tCn_uus*b0TL&3;PA&&-0vw4M8WBVB4d$jxrO*^#aHgPEG
z2}15b?|Z#eVWq&SWCdL6JSq{r+0L8RAGXduCI$<W`-mB6h>#E$yMzOx4)pQST<>e<
z!rk4N(fruae!x;q^ySJ^UfIzCD2C}~`iPRr3c>Hc6=*Lp61N5eDRh$CEG$mq$D~dR
zlk$$|z9D$Qd)kkZiFiK+X_nG@=2bAURIsC|s`sdTm$|-mbA*~K42-kD{kZJx=W8aa
zlN66g`PS9Hi$wrh&*+hfhOisbZCLQXk{Y3dtDs~f&Jeb0h3Dzl9r|dTPOx9dB*DUN
z2m?+rJmV``q77H@BB~t%?nwk~l=FKMzq@#z^5yGles=_x?ElORf5p2neVAp>4Cr)o
z!Nf}h>Bt@oqe$xNk^(t0KSSGVYq7mL*5q}Y9S}{&(z}2#U1Z6Jo6`aFiZ+wS@C@Yg
zynPI4SxljB(V|%rD5}so5_=}LXrH*=zI{Z|=S69k1b9zLHvV@+V$=;j-@hPdp(^UB
zOVByZs-?X8?4h_c$S-O8ihfX41_I5>xtCvnfScPW_$%TXn8<pMC`>fVGo!E|@^ril
zSm;HzQqt<b+vw=sdPENW$X7<=2TDC2oSGFGG>H#*vrNWO!UKOnRffO>oV^bgay|!C
z3z}jd8;1{t4LbwHa6qBo@sm28Wvu4LQB31CJUFlil<>C{e+}mHqQ=thjIV4_1=KwD
z7c@Ou$0fd~n;^}ySQS!=2zMIF<7kpWOF6#LQh2!V>aAu@&hbkD0Zo_cX+sqPZ{Mr3
z4v_7rkJFJkCtUM88ucA=qne=+V%S6J6lfBe4&&>&*^zDth$=MPzjWu`0)bZM(Smzl
zt@O`RDvkcW)5s26Pb_2cUN<2Ka1SpAsI0S?z<d#qB6R<ms7D6kx7%#^A*#?UA@V%_
zksmcREm&A@=WX%>58hk}tOUrzbd;_doEHG@(e5qYM|4LOl+*Ik&NBz>8_A-WFq%j%
zTaC`}G<Na{3)hoen<9vcx!6t#=sbv@QTKZSdUIfYx%?ab*1RA7xLCS?^M<zc&dwwe
zki{uZDjMaKr%04?3{-fe%4SOvQyl(4Zn-6xAMJ7&zA-*`w&IeA>Kro;{I#Z5GMv9c
z8R?YXaZ~e(`T29f9BmX!d;&-;V)7-c?FKpSP`0L5(M>&7HFdk~HPR}2P_`xKQq|8<
zhw-aXtBTsHocReBx+~L{g8@le(Xbc_Z1O;@ACiU!PF!xyrf!S!(+=@JsYPI*VWH54
zyAp3!O$)|<-C51Rl!*ASCTb+A{?=Zf8S&U@cOP#%-ErT|a2CYu-zC^PIof0I&o#r`
zb^7%w)B?78bb7dFcy07<;4_Ofcxlj7L0q^~BkQ)ai-a*a+^FhdT^(?*?S17uG8myt
zp-=pp-}2Q{#B^RmOyfB@`zQY(Bc}lKV)>+CY&9?3DK(fMKTpeby(hXo)Z!Xh8^4xE
z2Lr!rba1>?qBrovj0qK{ZN`&V;(%;L1VYOW-pCx?JWMVugzB+=(NXRI?0b~4Z?3P?
z=4K>tY=LdfkcAu<3nKOJ#s?=nR1@N5a|ZX+$MA}`C!G_c(9A1@y$^G48#_b-%q6JN
zoO7v`oJHbp*b-zy2re0dgDU$K5=|XQP|k>H{_d=m6OluS`Vq{i8)Ks=z13LwI?X-n
zPWH70DH7(5@oG5R#RfL~3*IfD9Na)P2R;kx4;iqf=19#L4og+h09EH5+j9PPZ`lH@
zRb)lBX{Z`@74~5!$AO_Th%1gYiKCayr3REB;o6!ajRoJLOwVQ07JO&!h7VoZTmF;C
zN32l#E#fAEYQM3~EU9Qv5>{#x2H-*wla8M~<r3x9|5RI;!YONLs=x=cnivl*=kn@b
zDA1^3P7a}LsQ$7zhhcKYzr!%_Kjl6EK!gR+X+u^5_-(7Gl?A|A1)UH|5J`_HZuoJ4
zeDzOX82AXkTL9C9h*JQX9uuL3U9Tl1jrwo#^r6o7ht{4esxqy=Eh{zU0LP5(`p1>E
z&vryqf@o?Gna5^#Sh<=vDW7#j(pL*Ne9#>A&na|0e|k13i<f|yEl3%SPLfap2R0-u
zD-nZBl%{02(JR=FK_UaJ-yVteo#6pi2WvZjM6{H*?+6xY)f!C%CJ&@k?>v9)5?15z
z_7G<zkg+APA;K3EORsGupzh?k$<Yc)l}-Ye0g>EEN%i4e%MwxG+uM{Ko)sx*mn7IT
z*L&O-2R%e}o*SE`r0h50fLO>g{Pu1g^SRv{@#WJTqZb#3e?VL58*b%|73{L1C)FkD
zwK81vM+JsXW+PiihGlo9E{%o(@CPHjpxE%}7-6gT#|f!>k{6d*<TKtVP4a|MHcSHH
zE7Bj$(i<;uG3UI3=NCFeE)FzRsA%-_>H^z-EM9GjLg&dsME}@}AVH~O3L%ke>(aui
z$Y{|Ty<Z!U(37GK-G;93=pY43{}`kp=fnO_*nR9nL)1`5Ms3FYEO>1|suuEKmEKw0
zldPPavZiJ@(Dbtxd2AFuaQa_I=F9<syBOc95beAnYeC8y!szvUuDT2a3u`7@b;+!X
zNmp+&IZ~&rOurSm`3TEN>e~{){7^YU%|Y`)$>5}~aBhNtCv39d1(Rz}*~9Syt0YWl
zv#tcKo^j^NkW}BmH9>Y6wKm`;yXFGn#+>cJI#?*Egu}a-k@}9|dnW9uc_h`m?m@pd
zK<BlOXM40_3@g2&KOr1}oJtd}6)u9OsN(wL&pDFf2~_ODV!59sg#34HiCxO*LOg40
z(1nZ?bp1NDiIA>EcfYRL&z`VlX}=w(5SaB>S(AusXA^rYyf3E^m<raq=2F3n?!l$a
zlaS!*>(3kPSC1*s4nZFeEk~P2LSC0(Uzl-u#d-dI_TP%2PB`?z7FgjyZSoKypq;YG
z!>E+WL;=nOPJvu-h@l2e7*I*~Wq|=9#rK3%5Lo-ur}(NYbQVKp1wfVZ7s2{=Q;>1Q
zjqG<$&VJ6L&D4$Bm^#9w9xy#S9JeC>nRO8}XJ|o(q>1@c8-tb@`l3>-T;kCGrwOl?
zJ+xyEbwZ;Y!6=ic`D-`3qIi5w;;zX3@Il@}o93P1l*o>t&G+NeLAidJeS)_c9y8vN
z0c~>Pc;)j%W3IntwL%P%Q!^`2^mLoRwv8WtW;-{S@l5vY$J532Mtm^^pp(yUdvu1o
z^r0;qW6rVWr7uex!Z4Q@ao`JWfBhcg<vW5Oa7FgBPQujAOUfXM+J!tJTjnNFGW$W~
zHI91Bb0u%t0$U-AOsC<lyLG=|=WpQ+)~(K%Xq&&v(DZLyHfRfe2gLRAbsT;{`G=7M
zO&Q}H2Oe%&)#?6-F=BUE^P{2t%^ky56(iQv{AVk{v*^0$-`czXTc97numNXP@z|IW
z=jy0+hI&?rq>jH0EG!6xej3>}<{+VH;pqzl%#2PaaXo<?hJdP`o$mIqJY<VGUu);b
z*Ug23J;7quke<nxUU*7^fa3=?S#uv<$rsd){U^H6nN9AMGbF`d?b30-E&>wMU5-EZ
zI_$eq%uzVqd_vKZT7!@(t9qF62I)>XL3(11M?Y4jZKCo-z1|tl;4=bue58*vg%BW5
zS8$6=&4U<fW~}dT<S@W%NJlK0ulOG_xkL`DtBm35!pWI*dKJ+uX^QDd@`Y-9V2EHg
zQjNs9VABunhq&2mRPf)SXKFAU&g=X?b0il+*b7C>@UM*k0x1r}3hgDGS3uY>*H9dE
znl;s6MlvD~3uMK8Up3liC92Y!OaJfX`_11+0x&~BO<!0F!1m62o8KYWJ{fK1hW+vw
zZ(c~Y#@mkfI~H9i9=FD6F`eQ-8QZs&Traj+rzp#J;W6Zv{(Bq>`-CRJwUnZP-Z`p&
z^KXMM?eINso(AW0CCysnbo#fZQpl4SpjC_W=ob{&ty@5c35l;9R8=t4&r_9{aQbqQ
zb@J8EPo-bE7gHBDb*+HVqI<O=v$Dgmby(hZGH%anfqO$j==>w}-5b|EZ7;96zeUGj
z@7M*0b7F}NPC^H;r@On32v##U0|(wpzgPE<UqOw*v0ndrwP+->$w0Q6nna&Jf0oy0
z3`e}9Fsdv-PTD@CG0%A4a9tB(6rcL6{J(cmK}@*UcgC3N_I^^}ibf|9$;+V){>9^*
zItVux;jZoWAcr#n{%LtCH=VQ0#f?mY>=fb0S6|<d253{l_ApZ-U2?YN;2ISiQ#(Wu
z+ncPs48I`cF|-#F>zfzdFGvF6$=}+ellQEbKh`JHd+;R=q3T?gyZyd6;5ywNbq=y~
z3P+fcA_~R(3MjeW4md6<ihrk$if43+spO!1Rca6feUH8NIa}A3QNds#6dSLZ(JyWZ
z+dJ|yQcv)LvKw|xL(Cj;+W89~+q*D_7gK4aNM(KEf?O8`1x6ywQwzpn$18@+tXFBM
ztn(|M8Sy_qXt<`xUn=we6#E|=#EBo;l_vCc6$_;k73<32AcC&O+jkggR3BY<GlIr<
z#b~kFN%{b0b8%_u()qgi>wn%{1IbPbw_#~G@56Z##xmB<nNIxSJX^*wCWs?kjX5n^
z4#h96(V2;AI_T)gPHoX-*mT3lElY$ti1|-%KhqN3&NBlcL7;msw`t18;fzS~%fO2&
z>`l*Uj`uYxp_t_!t&oq{42|;JY~xN&nH?=%z6}Wtt&w%7Iu$%!4S9AS!nV*R`DMtI
zQQYQ5#_g5O%8QFWv}wr`x7s$BeTR61mRyiZef!=c8#=gWtU8el!-55|hol^;Fep}z
z2LC8(mb!cA9ax)r0B*=O(}v>ydX4P815A106A)O{Nm8=jjv)pT>i2cT`rEbo(``hC
zeoY>FI-sV~Wk62edj{xe|5yf!VY9HXh)El0?A|<}h%jCP1@tC>e!hJ9A}k{_^t7<=
z{J(3=i^Fa?^An$KY{OXIHf+}1KGl&dDl$Tx8{lnQo8a6J8I*M>z8U}<n4%b&l>2Ku
z|Hb#;%#`j##2;~Je+MYzed#l>LzN4aKpwr>7~XO}YkJ46eIv%4HIOrmg?xc;!rF=s
zU9L9?V>sE8>y4WQQI~!m`$Wgzl;G!&!C(pU(MC?&*@0sYemiLdCv>dQsYIi8X8lbJ
zES+!53XzBb=5=k$QN7ieeMDcJqFMmfjn;8dj7GYc)fOs`K7HVK>iRnvWRSEu77f$g
z6dlOg(??|u{*3sJ*?;3WFfSLQd^XP}V7N&s%?XzZ*@Z@pc9DYU3&x7--z7JHj==pa
z@F~Zf&Z|d2K;TdI+SwT2X*OV*=z<O;*b(&EI6A(E_I(98ZzPWfOc`0ZxkD~4>;`$2
zsm+^%ePRx$r>6m6De38H9SOYrNYOqq65-+DJHolobC)$|DTf$p7%^*c1qD>x8H$%5
zCaYOKdI0~V$Mj3omDR^zVFnyZV{7X`7+Qb>A{ZPSA*-#6C3_@6lx(r@Gr!Q&ELZjG
zA_JY37q0mDNMw`~DsvwxCOni>bzE>~e)ohbSVh2%`?RO)hNqZ7vGtW42<bhX#<Q`y
zZAkf?>NB??CXu}u^HX$cs0p-R{?+yOA?3?3K5a+G)Qz~faxvQnfGjSfB}N2<iOy;3
z`80<na>R+?WmcSRAglHaaHF}uZ5-Xs{w>aBN%w5!LVzcOUlH>GH+oZ6(Jxa~_j`8W
z4kbe=QHt*`6571D##z|15oQGnzH`nasD5*^c{I}zjK(yySm|;Rr_@7}3cE~6w>`q5
zLs(!kJcT@!*PwUvS|9DB#$y5#Sy$iov)Jk*wn#KETzrQS<Brz!9DgfecS>Fr2~04)
z`2rJ+yOqQT?WXJLht;3L+R;@czF<a^fV!y{{!G9AwwO+M_Qv))I#~l{q_uWWA|M`n
zr`K&K)imNW7|s<)X-f*-4oLR_a^D+mH{k+kPfkvNA5Ea7qy(9+l7#W;zdmb!MtI*s
zItlMI@lchOm&2^+!@QsNQM4N0AtWya?u30*IYJ9jC<MMFJcUj4)Nfu-WE-h(97+V~
z$RuhfrCmb@>XRKdZ#*x#Ci$G>k(ON>@i&;n>?qT;Bwy0O%C)(izXJNFoHjMIevl!4
zKU@!8#<*Bl()8P-wT(Se%t_C;eGjuF!H-IxcZ?ris4S6tJImh|s?OfXgVi$t3Xeyw
z=2R5g#7Y$82wvVpc8|0^zrP=5b0`K!4~hxayd^GBJtKCB1zGb<!FPysC(}c!=?x|H
zFIgA$=%Lg%mGgtG$=)vqUUjPG!<Cbp+S{%n#r1(M%rFe#OiQ9HeLr$b^Z(D-06>ZB
zUa&~Am?NKrlz9+j_*q$ffVf*?J}2ag){8J;^HCQbyzWj2?$MW5P|$a9_(dBgVaqto
z_Af4K<$DD1mUWU*k8eMrM|{_j;69Ov(hL6T(LqmW(r58v4yy{(o}cPd0FRK507?!`
zYr6uFC*n5s1I6Vv^%!cqKJ>Dy7EG-%f<9e)1RC6G=V99m-?c>h@GEEU2t2|L-)6mc
zo}O=Ojm}bpo#WO72;IzMYX&u|!nr@5^pGoR*ei@TQkoa!&*Qtx+JDJyZcGk1i);dU
z$?%2QPqQs=+=SQIu3z)FuYB+$txJTI{)S43)k<1-vRX)eNu>1}b)r^_3Zve9&v>vt
zLu2blUR1aBRUk;~iV9TT5#87U`#m!{MjKz!$t0vD|BGA~r&gLMGeO?{E$dNm$FQ*n
zksm$Jw^0SPn~R!@nWn#e-)w{<W>_REE^_g+(NW~FOo2D9s{4n!FTA{bd_NCmtF4|u
z7oM(xiXjky6;adHI`wO6${>FRcfYkIZ7;k|wI!6rAXknP4T=X1keObd%~Gz22_I9R
z=vUQcSs=J*tH|(H63ZEoCkflJg&i7Bhg{ej8WVI=35t1~n|eu6)qR^+{@Ii>jF4mg
zJXH7N&QvOt0T$8Dx%!%6o`^@0$`mzkatS|rHDGNujN_Q1KToWY&2@n`d@~g%z;pYI
z4L^0ODvd-j!zyVd;B`cT^qBsJ1K@fXzu`O=cCeKkv*b%nA89;%1{IgA(-&M!e0}j*
zU!NzmNgPgn7t+W|(wFT*^e&p$>Tt`0iHItksgsnK=3{SoCYA+qJ0iXPJB<<b*xDwZ
zlOXzi2@m2EPhDS1a3~|racZcN40;6_A6L{Ut!E_NYE{#`&NO9zRJYD&nXF9~@5&-4
zEHq1E?J7is!M5N<1q<j2w-6RGAcRZTM;y<B9hz^}N)*lsm}ZKCTZ2h=3iM+;A<k68
z8{!oD*YVr`!nb;d80h7qAKwhElco#$z>>atxym!XLRMIJ#2m1EkCE`Y6);I!ntbjp
zr3G5^>m<-5G?qBBgiwm2xXCV}#aFYFUJy8w&3I|!c<KB=)+Z)rrMAe}?NdE+!Qinl
zN@{eSd3C4`bNAO4xT=-%Od?$EtN7yX--FeNIa{U7!|2E(={(*RF!gPp<Fvl})=LYs
z@pGc5vF%r6<$#$5ZGgpW0x4{7oG7&^6O+Q1_xgf!M`CW(cnf!kMkWKXBWK`L?15cI
z;#l7Kr-Isw;z9-qyP0m$guZ{@p*qFcc68(=Y$$pUM2N9#w$~}Qu&^KYM@!aYoiya`
z&NU)3GW8hbl41Ow98~i!-p;%mZ0i-dmy<Om^$y<o(g_CKF$87<Ox)4v@FwFoP7r7|
z>$uFChN)|ZLT}+ii0S#e_blt+p9Jz15u2Mi&XqAKFk+z_5NY(ME9R55<`DBwq`9M-
zq4ACtkb*+%O}!b!#v{<aI9b&RY_&r}p9_<PS=LRkz#gMLQC($Lm;vtwq47D{F^v~z
zB?6jfr1w;d&r6LvR1qb~qpLl_nl(yJWP2Y4O;V}H_v*y8o%&@|-o?*rwrUN8;Yg?Z
zrv%ZE-U2SblwZ!sg!yAgjouIHBT%TNjvH}u0LrUOe-$$IGm&7b3AP3ux0gD9w_r7i
zzj)ymIN|~6B3`xV#UFyw`Q7ENg2VD3?+pm}h^p5_R3`_E==C|ppB^oF=*{tx>7Wsw
zZs^p%D)&BrA9NnYXRi*2Y?K!<>hPDxE*z~Rg8sS<ne?_*sW|S4C_=$KfF=e6e=#9|
zjmj%Cav76;;eQP-n+$T`^cSa=jGiZcv=SQ9Lkrq{FcX**GY7+)s2AFLLNL>Y7Xgn}
zc!h$u-mkue(4F9cAG_c*uljP)Bj?W2LVGvtSY*v4Hh`$Eel6(mea2N1ZAlaIP_jeY
zaQw$O|G`dC=wNAl=LFY3@CyZJP|ZtICF9r|e7FJaPrqn%al2u~H|FCk0*oC8UpaHd
z9&|*gtWkNj2L@!M*b@<*4z1ht)NsLkV==<+w~@}amtlvD05|dvv)+mQ4`%KAEc&Pk
z0{o|^0UsD(x&sW{%Tr%DiQ=oPsNm<$cfCPJw4#AM2SPJP-IPhVxVRW(TI1cbW)=SL
zLV8OSWa3e<H6_Te&)TNp*=mS;I*%wM2TabcXLN3#bRO|oNVMxR*6U>-EtU#r{j6X8
zQ7R}sAd<(tYvRZqqWT3#wBh7t<M_xQN2v_hOs11QF|88bdfU`O-nTA4O1W^xi%Vqp
z#|(Ml&17EXIRX`nHia9^HvO-1+(=rHgYI-tqWiwCVjNg{OINY1GkK`1=es$5P)*MW
zS$qWPL<wZ=DE5^z)fIydQ^q)*{so66K2+2+r;?9O-@s_XF@I!lon%}m6n#VmS&j4?
zr1sYaojd-K%TpXj+mSXi0CH_keeTowOm?Y_aV_w6h-;ZJ?H@Os55Ew$09SZBu-_Qq
zjwOQKsj8|9q@(v$84i5-_|ZUm<By*(^@19LL8`b6W4wo;!ybC3=d}hg;42I;!d(cg
zal_C)egTK=1t)e@4^>`!{<=mRkxKrD1-66;b$BzTP<LjZ@e@BKz2}8jFx*@PdrA6?
z*s?^#*bK3?yj9oAf+nT*M+?5M5XiwE<eIU^DCBp2<|TH2|CWj)dk~+(g`PKxVN<ar
zJorrV;?&ma>}{<S>iU=C8gA7WcIYwmP-A5pJQm0M>^MaIM?#r(yswY9r%9h&oH@e0
z@wK`qz`y1Rf1N7?I1eOYP{5~>xiY#UR6UBKY^HFNBy2LDd{Fx2D5ud{Um<|+yL&cQ
zOfTpUxLHwId-?S4b`(_Ka!IciYM;BH>HQiQSQof(Y`hVYl0zcZeXCpnDe~35`KRu#
z$AWh4FvrSuwy{B9Sy^#L)B!T!@H2`55<zu&`PjUSbi$Mizty0DGSQn*#(aQa0FO${
z?NeP{tw0r0u<?UvmBvimoYedo^l(uBw>8x1B+;2`ee`I#rl~1%7^>#6{LXLO8ZFyg
zk64J$d8Rm0cYe;mZy|JeV$rl^R%4_LfnNZ+v`uIob@iu#_qOe4r5NObVB582Ch<>i
zz%u2mgWAx^)Lzk<fu$)?k%nx7(VunSKx)mud_Qt2Ih<*MU)e%KjY1Q>9|l341aOoW
zy4?~o(OFGaxY*DIZr{NQ=9jpTCmOH#wozBE95~5*{`Bik+lE0uJu9hZfnb8!fO^7v
z{sfKPMw=<UtSB~hPsHRadg>&f3idb!UbLN{zmW_MF*5HL7M_?a_AktTZ_|h3LjuB9
zB&hyZtte)6R21ZLTu2Him<|pPPw$IDs~c--umJZbU+_l|0fx4;LF&Vkml!BqsLBOj
zv+ID<FRkDRr>}Zm<HwI5otx*v(EDXdvu+EL!ySS$B%*rmZ91D79xuEaEZe$TS{$VT
z$jOG%cLmJ<oMFBhQ9k^j->zER%OAr}vlh{ayoo9t&^B1s+5+|q@MT*`(!W%^yUd6R
zoK?bbA^u}DtJ072{8iio=jz6Zy!(|C!*?n-ydoZ5xbOV(;=#6#5Msf%-dM&bpNSC!
zgRPSu=}O*#j(g>jmhkJ??{<Y$n8N*!((ZZ|r&CqK+zv^mZNRKbp}Zq|B3cI`9!dm)
z8CqS@?zm^kwRvDI8N(2I!w(wE4ZVks$t$;nd}g1{X_!Q6<McRP5jqRoqy1~GE<eD+
z%0u>wPXnT7F$D$FrLVQbA0da*IvJu)t|9f<T29;Q(#f1X3)jTN8z0F=$()HV_eH7}
z(d}N{mH%sBtrviHr3{^;B!{g8P)mC`jodc%6on$G_-y$&C21Cuv9*#CTDeZ!*TF+d
zsi^fpJe^w@OgAqtlIlpX-stG)vOq0*=f~*TS+#V2*D2cUf@L*KJ1~Ee^>U*=Bj;92
zaSmW4N#=XExVRYM8C2Ic_D|;}BSP3x1Kr#1;1!OylbDh=jq>t)?kFynHA!vm5CKP$
z%k}wt&($IDmlbSZ7O_qWhvVD>4kMxuIK@433TvEOr&<<-=MKn};ZOa+jqcaf{YjG2
z**fAsObN6vvvR1GecQH!l}W$4uIKzPM8E(e4?!>juM&yStKzt|x1|CAN!<i?@Af|a
zDv@rNb${MoT4-0-p$&l?wALv#>0R3ndYUXpisR~{U73hQRNaz@DV^3ajUJk6xBb!k
zeE15=1y7Rin!7QYt*@Pvy70b#(QUU!2jWE<Kcn_2tHn1!zDWLWu~+^^zzzV_Cv=Kp
zvM@3(t1g7es#_rkdT4w5e__JnHp&2LP~U~zgA-a08@Px(hDhaB80fe6_su*W&j<eW
z7AAn;ZR{?HGo!2KHhLTw0Rm(<5LT;OF!vH^44wexY*d@|TD#B(f;X;z%*8LBuBMeD
z-M~pQ&5nn-Ny*8|IyzC(pbILh8P&hvs&h<O*sCoA<nXz)`}X?XLrgY1E3T5B!&g*m
zox`s0^}HPR8B6=Duy(O$YJ4yrWqqi^!U)P}g!t=<ADb#L<%ZPRNVC`g0SsJu3wvz7
zyKP(v#QE%DvZH(G;B>Q~|8(8u_zl9R$fG>tz%|wGLrr`tI|{5KdY(WdYW<L1Oy|KL
z$?MLV8EO^RzGO4q0}P%fyvoO>!a``nU*v49sH52K6^(G?3yZfBHKK`ijP+V%v;3b&
zQDKLON4P0m_g$(dajC){t#6XMS3U5V6;pR$0Nqu9z=xo#Jtm_s0<q0kO47Q|M2%=q
zF`U?Iex;kBx#YA?7tVY9e-)~}$C1J!fc1exAZtciT6ck5as;n>k_PDfDQ1W_oH)r*
zlsO#2Jvx^Pcq>l;rBn#y;l_R5ndkcKtdi&Y4~jz<0D>Sp49U|^m8#o_KSkN^j1r{t
zIu6h4hOmQ&sjjg_ugldjfEZ`7LH%=GT(s>|ubY;Bv8ILwJnPo;AZ2DCXoJYwn5X<7
zoUBJfsTa#}(LyJFPMWbC%$FCBpRU>c>xzFhJFT&{HyZEy{WoDJ*`uSa)oe$1JJ=uZ
zzRXZ}8{e$k%+SS0qPL0qyAkV5l;DfWwe4xx<$0IGPfvFA^LYvlw1*iYTixKKmwN{a
zt`lexKfLmPvy!4k($m>(nJ_&ISqQ3t7_E$evP&~tU0hc;bu1;wC?M$B-G{w5W(?<L
zL9g!jKRxpLFFg(TN+8QC>&t6~Sz-2jyPJ}*#K=FZiJ@26wY-8c`s_NCLNRpTey{K%
zNCGYX6WXdwggED`i;~9xY(;qVa`*Bbmk(c7Cy!8+%IW+30k_D5d4=CqyXzx1rveJ6
zVZUXq-)@tlxv$9nMS!#<e`W?i97%k!O<$3EVS9T!OIcOHUL7YUyGBBLWMrgC>@A^C
z$Z}nMhd1*>xSs~}CSnx>$zU!$Znv9foSiH{E*NIWucZw_BNc4*s)6^yh1N<K%H>Y-
z@i1T^H>yVOwj)+12oID{P>9sH?v!`P`CD^WPNRb#EX$$;&Mtg8G5IfVvr9=$D{hn}
zjyNi!N%Km$rL%xeCy;t90UMzJ%c3lSV^KgkQ>468(g|74O^p}hG&=j}fiYJ&Hre8W
z@FtXJbO7HX0<>m|MXKkQSzS{_HwOO!f=C$~I=R^GYxv%D&zmu`U$cTX>AnnwpmrvE
zg~@+$NQKCz>Y1|^Ub|65^;{LM{xB_a^Fn$Qw)q?83#0({dTOn)y*IKxW@%m>?6U6x
zgRpFg9;}QZr|1NyF8`CIXQ+KUv(@<5(*B*<XXREo2BdSAOewdo_+up|^F8lvR5+)q
z8@cc2;9@4U|JkFpgN0XR4Bm(|3FAQC6Gn<25uecbl^v6CBtHQq%cE!DGEQPe{=iSM
zL0$4hi6Msgc`0O+Nxazna`f&S8V%}tOi}rfsz9xzr|m{Si47Vy30FyaGA0_jT<`Ml
zcb~ub4DfUc3II)JF8E+|dD-KI{CCU$J@!s4ib^kJuWoI}O9gSg-{%bL5bNF4HU<2`
zu-oHywg`pMiErHScM{`ggc}7<OrY-^orlz%ktAP<C@KlpQHv2d$RH)X;wE8epIZ@<
zgI%MV*hI1*@=;I;SeLgJN1h)1_tDq^Q$2XwtyYd_H7Es{gjmR@2V1U}0?8wgyMAlo
zBbtbTSIM|?>|fX4Lmg~{;7L&kikoR)K7+Bn*IIl!Hs3#6u={64GH%kS5X`Z@TJ@eG
z?9OUP%6)gF|C8r>;#>Ex5bv-elRm#QtR#QKy2@LE>jD)8n&o=pRurZy+zYbzZt&*}
zwnn*fgF3EQ=St5oS_&-P_K$p59M9D0+bDy!x|^;R9u0GZ*NEZS-~PebVVyhVf98!L
zTIA}1Mv1Sia;uMzjyOQ2=#|m3qR@lSqRmJf^zH3}S>s37jj+Dxqq(BxrKRtBtteuB
z=Ee9KLodKbwD}%*EIJ%WdJAgOhRV=#06aR3-=d>8Bd=ycGt^)SsP;&%4ri$Xs{vDA
zCroI&C}7vDhxYyLd1^~aXeGh(JEasMM99`qf?&*nb8{T7|NQy4&S*UAb5S^#^4qJt
zHeSDbyL;UWXWc&rQvCS7@0+K8VB=Kg-|M}({{NUd%do22ZVL<2-7UEZY3c6n?rxCo
z?(PsUXr#MAknZlzO)0%;kT}b8zW4pkKd<!z_o`<-bIvjDA;Gspp~}s%6=!3Ii45VT
zk8}H#^Sc0$j(J)~F3s{r6NbSIj?GN)40W5UGx(b{aM<|AQrDOjo-(>>j~?g{6Zg01
zFw%T2Wqw(5D7tsIgLO)ffRM(3UG!9+7{B#-F!STklqm%59)5(jnSbL2y)!tcN4)3l
zlwmIH%5@S}vWGw%1u>(qrXn_$vZ_a4iLkXO#FbHuC--`2kwJCu(FK$(ityX^f<Uuy
zfiW)ehS&*XLiFFoi1F{Vsi+mG<$LIbI)@V9^`%gCd|vJcNjTWr{@$RP93LmB_Y~}L
z_M#S+@sX^vFUz5&p&<v=+5-?;F>+*8rkj)w%QlSB0uelZWT3|^<G`T&zzlj=U(Z^Z
z)XO=4*iAin5UM_CX~#?kl4%7$cD7^AtUBRAYX#|V!E+xk`)1Kfiwx7k;|9QgEr;Mw
zk>&rGO7yDsG!K`63~|Fdm$tzf->97fE0fP{<GWVyO~Azn=8PatNCHLjh!p__Tck=Y
ziY9eB4ZBkt8G|jB$2EnKEE82uqS<>+#U_Xy3YseAH@6g+hQ5P-1OKlQkk+;gPC^`F
z`KLG0-=i%X^OAo%x8eU84JbuXi5L48^RY4iGhi1V>!AzeB^g*ESayuu%B_LSsrA`b
zGK5<!HhzF15QJ-X$C`A;Jq3*_Smkiho)E&RXBB-7h(#xbtEOZZjKAJi{O;HZ<yQ-L
z7Pb|d`L?4fEpUKsa;{<dpxwH#zE17;W;<-i%~HVP`GsRy`(lGP#&oB)fJ5CkIkTJg
zD3>o0-38<z$YU%*%8wKzT^~W){r%7NH5lEC5VDNS%9dvQkI~{$XkYqbGV5VVfVi@(
zk>l&%b5gpDKCxmtm)L9uGz_|97R(Y2rJs<~Nwspt-YH*c!oY;wJUc#HOG;zXaR4_U
zt?j05dT9PBmlR5#9S`yTVxrLR-cDd4-oCvdcT4mRz#%_0=>Mv$;Q)QWcdGdQ?4-}R
zl=%MSXnE)=+7nX?YYU9+!O~-k5ABVlP0I|PT(_J-pIepO+}0OtvoNO6FVT+t&@3RM
z=Ccs!z<<5}Cn_p37+d%VVHe)PvQ;tlKC>~~J8o{<09w0@@g;h5pvefn(~!8EtYw<`
zC-WN?G96oAUl;}96rslI^A)*XXR=2m_Wb~y^!~|;F7c<?Z!#Xal9OBGCE?UEo<T^{
zQ#|;_V$5l5csOU1>;|+@XWymm+64kCPI3g7lGKld&q-k#i}fRdZ(FLwjFQ^Z5!TJQ
zku{LwzBdW@A-jKOv1oq@Z<Yc7;nq_|3Hr0P#bsw!7Yj@cS#yRjeOz7tiV#~pjx*{e
zG5#Qqtf}GX-!xoi2v~jrQ6w#8_N`hKx-lr%wF8Wa18-M_j}KB;OV79=Q9!tr0;#{w
z=4Qcc%Vb2<Y2g@dh(9@bfbwH@yvOCi5TI%F3EMT@^%F`g^RY*PYI~+Fe3LmR3OzQt
zv>V`ER)r+kXa0*YcYs!~&pRo+E|;=v6pJOOFId8EA){O;XlieQQWnce#Ej79mEHMQ
zuA+#^GXX)|5P4TuZ_SD;4&$=n1>dO*Z7@bJotu`a5U(^6vpj6qSZVyeL3qMa2`_#m
zzAt1kJE%YB!Zh3fbN-$P(>XGE6qG!wMkqH>|J{rqy$C5)M-%&dbv)TE->i2VD5T8<
z4v1eMUG(9~5kEIW>r$}#YqmO2K&hfun)h+Dxn02kZz#v&;j$GiU22rO;;z9zrw5w+
zG;I@O5bPO^4`8$5x8>h)r#M8QG;BjJdwZRgbP^HZiE#TRaGBP(j9zGJ+jDOHeS(Dt
zJlH*Pa`8lRk(knD{6j91rA#h+fQCL;)S>oUrtE9lM`28x5y9b;lghTC#jUN4bq21I
zv)Mbquui-;3tx1OSW*<=<aV)CSZNd$6H#?7`Gt#NA1K(7m}r&g05qCI6$Bd(Yfi64
zH~q&e4_+xce||-IIpCVM9cEt9ZcYpMTk(<Aal~U_El%XmtDb-?n1yu~Bhs2`7}I(r
zjyjDj{e#-LE)7R%ZwXw}$io)<j+#@<e|5%oKO^WI)-P;@)1_DhbOrf6S0n5p1Ifl(
z!f79rPy9i;W0xKz6SQ3j1Z*Ke1jh&zx$r|rR6KHjVn+6P4y-aSl5!0SgI=*Zn`<xu
z{!`e;DmJcx#p=7H0IUwJYSh@OtOp0di7Fk8)~?qPkK*-8IW{XS0S5z5ZtxdejW*(G
zRbLpxD}0PXPS{d9&)7`J*Ilu;8l(|>=+~{LpeWySSpjSx+@W5Uyv3#7kH$y>ZB^OL
zI2F9?=2t;C9iMg`JoJ(xK8=b;TnNRg;g6mov<qG|lyhgee$E{+`vQU_MP)#CJ0(BC
z+23=gdv<7z9Qz47J;_#IvE?jRZo2F8;3+G%5dHQWGJgF-yeq!Sv-Qb9vDmFLfF^O%
z)#SCJ_Oz%z;FlYZuTa502AP6HNpitEgxqTYFB%FOn$j4$l3~Z#v{T{VeB%2)Ri#d^
zuMD&3y0mg8Y4Xg=LdVF+NWgl1=XG}*Gg1EVSf_k0$c5}7IOz-X9ep$m33Ff9eCP2d
z;xUUmb(uadxnL-XY$!+2zv&ayUO4OKIFjyu?SZTP$5hL^AUw;j%W?>a>zkWEldGab
z4Ie_8;X90)kAkLEzZjD$<A}3VlXfmf7sp+9q8|+sjxTV}*!Fj|f6ixw8U1?rj4<3r
z@itwR)ujj~LxURfO!xavjNC-<Q(7nOt{o4_V#!0qn;*eGzJ^NPVx~_ntD@)&Brmsx
z6~nhlf6YV~Vcngstns%$q7gf(Eg<wB>fO+Sri*MZK*GvHK<10}&ylO}m0t(3-RczN
zfK$kn@GUiIq`}+KRvW|Dk%!(2QH}j_m9FXF)O;*|woCnZ=AgvlX~cU2(HwnSj>y~L
zIZgx8F*7#41ZDQ~e7_w&qA&*@6%UfB`Oe_tdM-zK%OE}_O-NywlCWmPWo;S|Zmney
zY8;r3H&OCl%7fRwl?PYaliZF}X@ZuGhx-T0A6K~ZWEG=f-WfvI!ol<Yh6SO<bRSuQ
zLxSO{>3$!&g~>6o$1m}ImnLG+p877vm7Uf(pkZ|cN7|geRC`P~>J2x7+vTKW(jOrb
zOMWsN-ta4skIu!Z8U%OA>W<+RrwHqQxnUI%;UCsMj0rh@8sJBls+v)!G<k$Q_b7Ue
zL6AQa+~d12di5KP_u!V?#zX)jng19apAOtW%1G-fs<mJ)LxZnHUC@{9P33@%e_L{C
zX(_9^QSyj5jjQVzh<xicjB*T6^h0){$i6~t|C%W*t*PNgG6C|*9L1td+UWF@@8O`K
zc7c3=L4XE8@p-?%khwrgN=iZeY@>bYBr}TsNfb}(U3hnfY#L?l7X+Et2AqCZ;F193
zv1JsPJyf(d+2lH%&{(_GK!k8XBZ2m*gp@XF|7rf%wirTpRK=dDt$Bc8;?A+qBYh4w
zQ#A9S?7CvR9SJi5v?f-R7vAP37=c@ed!^ebKSqBE`@?zk(4_W5VRh+pq&Ks-ZXkuN
zOMd87kbl$uc4I7)_46;W-X@f&sgQ7USPCb?(NdI~l@{sbx+4!%3Z50Z>x*PoQUf_t
z-n4<6-#j#BtS|4r?0*A1^PiS6aOyvcUO-!Xeb2FYO^q=8oZ8VtwVSj4R*=o7l%9FF
zf3MQf3ZosEizAgtJI?r;A+5ylcmL9CRlh3EHfY8<$wyk2quhS;XZXY;Y$Ga|dO3A#
zOYCP^`yZ7BB0wA~FUok=4yYK+^Z!@ZfT3CuAA|?rN;ovhFKdsxTHddfE#vABrJ>`c
zYB+2#O1X&9J2(cL_|!cd@m(PO<oui)33Wx8IoKlA5-iD>;Civ$BTP=cC!0!_1oY-Y
zfL=fNVyCb8s6L4<ZGYKJn_>-@UYB6ZzrvYWV}oN0EZ%)&eVl%LsT;^q<uRab$26lP
z(tTt+y9FBY`naN0y5(3Q&a*x6TTt<Sr;NAbWknGMRT+$*=~T!|BH`x&<99r|b8y~J
z3KMs#wtf_LxviUeEB-d@<vlC3mT<%4R^gyXO<z>uf^}^Tn2yO{R%1;r9>wQAHEig2
zpT9qx{D{x^V6no8F!3`6pows{JRzx$&y{>XvV-09ci6Y&+<Np0B9LKTtvuklVJkNz
z?D}f7;{hf{#qm<%73fTr;>aGr3KFVTm{u3~`rS|rDbw1#u}9JT!xt(2;RsKx!5bjQ
zmENbRx}tE(@$fD1t|j<rkr`~^lRo-XO)bB*ydVk0&3Vg0B`Dt>Gex+4)?iGv@rs8P
z5D1EDH}PA7UE0Lo5qwc>z5Ds*Tc!jgAYhW?OdP$K0hm<Ho>zVtJ_^&?S|7Pt{NeBp
zTI=;k*ZBx>BLK6Q5HSfLTaVwZ5|-+b0atZ+<A_L}&MhoNxE)Rss_Ec#fp`2)S2@K?
zN7ZFiA9H|4(s*vri_bcsOd$)nPEmzJhEUtde&OTeyI6Od677hq0s-1+V_jiDVv+m$
zbSSk!vlT(U+2WKtq7CfmHBx=$R^=*@HMu8R?lEc~zbu?DW=`w11bztw-u8&#g)ZRC
zC$7@F4jLX1+~+fPS#tO#E=MAR4tC}W)mx_p!_lz%(<y|@$4YTBb6d^KW6r}ykG|b8
zE!M<}7-0f`Fg_rO{bl6VF=|KwonEG2KgRmlm{SXDL?P?&E2<Gb)9i^+JR@43Q}Z`y
zBzkFJ+Gu`>L?pjvBRZ3KFq;T(sf{x>u2RQkq#}X>=-tfAk$E5+#pHbQ0Fz018>~Qb
zNMrsv^#LIQgkrC~?*?}6kE>bC+?FVsqSKEnP?J<as5lqYR6S!mX?$_3>3sNAURV{r
zfe3&28$w1dc+ac$yp&x0EW!2XLp{To4BC2lLv=RN9v;ufyY7QafrTB9lI)1?XY;Md
z$AigGsgLS!U>bvP-)Kx+#sK>R^v&1j7&gD&1Y{{JVN>4A&bHF9p}|4t+Y{a06^6}W
z@D_s{I7#?r*_%2p_8#y(OF<Z5F}7KZJM9<a&cAt+#t_~2$6zma1-$|qSD8Ry0K|%i
zYbNai0ZSHY;Z>lj;^qQvbC~nF5=9>;y$R<y%;j+?ySR$-D1aLn0!>c7UNd#tTc_oF
zbR{2K6Z$IfrFR?X1Gdg4q@AKhf;z`oaPm;T7E#u|!}Olr+JbL8K}tFzm!)mSPG!4(
zk9Qn%Wb$rAm8DwAf3(|E)m+vk@Vdp@ZTod_W_0Pob?y$O%mBBP{m)plmX8e7*N)iV
zQ|0ku(2$kdmT~i94eSfVh5r3cNefxZt^85%5DN%aK-?CUivZCW`5@#M9TQ!DdGDAk
z;C&jIhR~r`eGCQy&m5w@xWcE&cm&0IZ+n1T3HQuY0eM|~zx6BB<RktL?~5RPTvwli
z_Mh?zS)hk9wJY#Rs^Q-`FHQ(Nc`X(2>9I)<W&^BZA2Kj5_f&`VRN?h&P=>t#M6I-r
znz;De&OaOH;G#?;HhK#nogGA``nKkdD#IhSA6+LA@Wt37n2i9L#QxNI!(q3&8|tt0
z|DY<`v7zFWQkQ-twJcDKMEx*q%(}mxBzH_w*h!FY*|}?VsjVZLq`alw%&sbF+EhXi
zK=V1y!yVYX?6W~Ur_MhT>Bbd<dtd&v@i|dxI<Pk}e?_$8%l&&HLSKA`l(&ubJPAN?
zNBN7HL64`>#VP>G(7?N6Jx;1T?)4@|4X!nA2S04=eqkGHu#D|R(h-U*NxCk#eD~1q
z?Y)*chTr`PWi%7`LDZ*4I598~0U9s)V}*kfH!yh^?pD81be`MwO3uzTA^Gxlc$|d-
z^3Xoate~zr-l?mHXnp*Fr$TS>He+!*L+7oy^*?=nkxh){6i{6r73d-jW*S@51=zZO
zA;mYO$c_+U{$A9-n<3ev{*RUzm}wqBG0TQc{*deNEk#ua!JYximE7Oz2H<@sHo@2m
zIr-+W<9^Rj!?AJ%f2fdP{^&PaVIgNVJa8-lae_)La0l&}@=T_@Z4v`PNSQR7l6UL4
z<CXE|LR@iZSc8D-kp3;_`p|2Hf1E?ebSzY6b{g?SrK5Pvx1I+Q9=(IXg%uuOyx*Dv
z*nQNgLxN-P%_SlJO=L|__;$av4MYL>-Gf+gRnMy#^^P6i@DvK0P!QIa-xP(+N*}rn
zeH+nN25i6o);*!C2;r|Yvu7Z&#41)n1p7CI9~AxrgsPM_kv2YEKR0ab1TR`2Yw|w4
z)SfOmnV+@<zT`cVHcdS~-~88RyM|F4NE?9>c%#A}NppBHvJGS9C#9kb9;(aW12pK-
zc}Y%B>m?#<4m!30xFKRx<cl~30?c>XDLhOiv0IXAjc_ybl!#!E*>5@$akO|A^qs31
zw^r6$8v3Uj@9Ld3@3sek2_4wKtWv4RUWw(MRA|BM{&VrrX(m<-Pd?WBWU%I*lRgqY
zL+#$@l`^pB_n<q<(jnG;IQ9=KNC^<yky%CIU)W54C;kr$pbn-8h=Uo)M~;xy%Bk48
zKHsGh*<(cc3DwG{)HC5C)Gm-D@g1(!rtqe}CfOYOyR}UmaAOVl2EH{hc1U-k`F)nC
zyT{e-LZxAGNEjM2ZqfMX;UJCgPNa#cBA$lVevXsRb@yY4D%qG?HU8Jv(CsMMy$e1*
z^T72s4MMJ-b_8pkvsT|FfPo^8>fV55rzp$;j)=nZ6ZCS`Pl;ng8<@X&J7b9aTZ3sD
zgrx&<idzM!5!hD{UC=Bd3e)Z9b3yhN)_T@hWe4jIO#+D-vq~IMYh}zr(UB@2^W)m{
zpQ>CWs<#HbbY??XajS0CmWN&AR+pvmyxl*@Ch{c4nP1x|SviYV(h+Q*y(s~3hxhYn
z*5aqmUe>FM(Kq2Beh2FHKStq&^{|_1ThewH^lE~+lnY*%BRONB1akvV?CM9QRTcN{
z1y=;F^KzsY$H2#bn}7g<kSOGxB9<^G{g1+bMg;)Nga{gI_-rpn>dDy_R#<kX@Lo&U
z==B#-&c~X*o&!AzIsbzN3(FYpD%oq1cG3`%bu@G$@e0wta8@I^Nps~B)_!FJMtbI?
zfZ(=e6gWJ`?W%PIrG=+AEI{x$P<cd0Cs~l)-SNJ~@zZOxcL}u<490pjg-}#qw8`MC
z#h>=;&_r1XBy7#K+~07td@q4?6_zh6x;~ibgx-C?AV%B=SDU(kUk22wn!~BokiXO(
z;us`k%fL`YB212>PznkL@11UuW0pr8{<=#}U?FZt`ZgrZfYeo2Gc6NlETNV8uWvso
zE_io~UGQx1hoK93ZAV8uFs_uK#KZ>G@W>Sv0Sct(pQB)KL0L77Esm4p-`zQR@`y!k
zV<Sw-9AI12x$f_?GO1Tjq^K#)gzYGOk6Pg6ir4k+vvk@}Ov*li78voQtV#sYfmX}d
za_fg)O=ach?dI86P)5lA34K4P1Oja2^iQ8~yiuOSSLc+Pte5peif29PBlP2&B<M52
zS)%!{;R?y3bZMY?r`_J+^D>?@%Lm|%THe<Qs@C~*VnunkKcr_o$CmW=T@fjL+)son
zw@?toudzU;>N{pZZ)-dr{LeZLlJ5~koA1%&0!ucM2VFmbD>gEho?Vt`(qyr}>xX*E
ztDN_KzhSEL1*iZPIDKbtS^5@gbKh7KtUG2wol4m%)`_J<V0TTk^mD?PFhZ#`e5OJR
zSR>{QTHZjl-6bCjBVw`Kkz)DD02L7-f=q7OmSNjg`bXiP=Nl;VHw4F+(F5Kr{eRGZ
z2a%#P-6Li0)l0!GwE&(uo@7qz|4Q-!nZjag$m1o(%l?&gvaI#RZc;T^>6PFm1^)n^
zr~-1dgN8kQ=2AcB0H|}xyAYzawC4M?_%uAQM7`eQVI%*_`I%UemTO|uiEl1X1yVX>
zeMdaR7PhG<O^Z@TlE36)Ses%|zBF1ucPNC_spbDeyfOVAGh#lflof9+<{JR3bru@@
zjVc%YCo|OsfybqOHp!ZBySlEwC>Gq&Odn8BxIB4K9xm9=zof!z--(qv_$P(5E#X=M
z{Sd{O+ZA=?7fFea#n(SObT#Zb12o<5$Ta@H-)u-)1c(z)(wwm`lLHsn#v1BkXkwj@
zTCv2+Riw7kea$D2z(`zH+ve2zM5qaQb@`1pdnFIDKZ#bIz`t&r(J>kg*3<WztC0hT
za&%ceenzmbPQ5pc&=XXDuEv_r;3!~Pk2y;9Ew^j<te8xogia22*hf6gvvwhyOnf3R
zoXbou#$w$AFqiLl+n7Z!L6Dk<uE$eT>GhL+HE~(eRT+-tdqLIxp|Ybla-|?rWh)nk
zj2;5PSSKbB<i!GISA$TVyq&&&EYQ&$TqX<mk&AdhlmGp4TFHbe)|PQK=iVMJ77c{S
zQ{o6v%E_^S`vA~f0exL439eRKI^FEsTnd+c+TlqhV%HVSvRy7S&Bnz7Nk>1|pwpW_
zf`Eh4A07F*u?+yec)LLs3j;7is#LHTWS<5+=^m*8Lw5l7=`Uz{*^a_*Eu{=4AQx5c
zsYqmN%=a{(KaE95B_UrixVR@N6*@U0iZUNpR)9jrzXfid=&w25cPl4{r1mSn$#DGY
z1rr+vG7`Mn6Tn4As{4e|+d66-)u%ZHHW`S!_~HLKCdte>1xa~TW!Y6}*Lq#p3;DTW
zLq}mU#Tm7rzfZ(P-<2lFXHEunqMwg%v6y^h%PzIMgs}FkY4r`!gAYYY&z>0cRbwsz
zg{r>;eWVavJ5`iDf;kJBjqdI|ebdYS5Ys`EzBpD5MK2d?IR7D69Zv&$YXJ*_D$*JW
z^PU;<u!7fIs97ZcCrV;{G3HK-MP34gsRPu?Gvo0$A6GhY0I)z84ymE82;it@CU5<E
zWB%7sUAL+zpf&gF|H(B}Y+x$iXzz;(2Ra|H;uW~~^KmAP{D#eH7YsJ9@)-Qq`lIsu
zwB*baFelyqfQd1+<NJs+)>v~%7Z6>6>6)28tL-$rW5X8P^APAS1R;I?ROsD&YdlkI
zhGwR#D(B%691ihih#L|(DR!`WA9oDRJnUYMWW#b*8>r;pecocr{{cgBXAXipokt*S
zhm<O!v}+TQBs7Tj$)~^9?07SHnIn(uRHWildp4-f?-h9%F^Z&8BJviyO#<ah+k4Qt
zzm;5?{NT2uFqB_jycVv%2}O9_zv==JOm8{>5EMwqG0-lS-aoL$)t+wwAaYQv46-~l
zs9ju|<tgN-EnK>f5A=I^EmGezvWd)yaSUp&u=A)G$H1*B*-NTXLjbh-P$LE%8g-rK
zSNN&ZTJfi-J8jawm>>A62NmC4y^(&(cZCV!iwv)Xq-)@CTMPBk_MMwh@*yS7eS}`;
zJ!MWSTUM2!2SD7axZkig8U_&4?geomJKsRz=ovn?B~at4x><47(?3&tx00kFBXmPd
zt7;nF*`*Xd_GPiu6`Eh&nC2W<*MOgbf6*58eFHnVupBn$d1@{cT#89zefXG?EtF)y
z5jNj#33AG^tZheJ77!{FiZtX@GY)PX#xG569VWJc$5&48=WlgskzLS`?NB6=i~E0k
zn+VBn(X^@E)0^lNP>zvKZ;4l=OTH5d*#?P7fDhpjWjq^G4aHwENl1aH2<gRrRv>%2
zFC~qNVZVBexh9Lb$qpAB-ubl90T&aI6(O}ym^Y2mtT$obRe%khLs6H@+rM@26**LM
z9E&bhVw4sZDPCPxNH<jiS|JV|WyMEkC~oefZ_3G_M9MGu+U%!vIq&ZZBA_nx#ILnj
zT!_(kflm<^V@e-ld#>u~=XI!60DP2P=*co$7zBVMxRZ%G0I7fvT$8?-l`UFX3MtP=
zJw<1JX~{we?`CAvBIUmmWms`wafJ<Qb|wVYQs-s6$t0=2tL>mn3mppZtT3Zg4}7hN
z=M-u|PA`IrXAj=U9`TWo#bZh3@Z=-0Dck#aL|UGp3l-P;-W_ld7}$h!zOsm$@YBUq
zUFzFyzj=-&mVF_u<V##t!Jb{gS!hZ_acc>!ErA<xC;EBC4S5+h&JPL<ZePRrt{HJp
zWbL-Xxn)i~<%a0lqHFy_Gma&9Y?<oAi~!m<fVmd$#+^8AMLB@`lY@40V9q<L=QQv`
zWBjHKk!b3eB1+_;$EpnZoKfZ<9WH+3z{V;=eFHi0pE?t&&t%a2{b9=st+_p?iIu5C
zzgr=+TwFNVEh!zB+A>KAb8E|@nl4o<G?_}(%}~!xoVc`q&wbK!1+@rx${cNgy;C85
zOk8_Fqx(O_RWN0(EP_sd%(7C4e;#Td06QFO$aKk(GeZwserH!H^;z^p!o_~`!{&F_
z-==?EF*6A3)b303FJk9h5vvfrKe@YYkxnKiFKEn){?T#f=VtW2*ie4#R)xs-HoqL!
zvmQwj^3mM2NC)e_veVsZR#8Qx65s!Vw(rGLqdm5S6PDe|B%D4|;QVcmR~H|0cEHZt
zA&dvRKU?a#=3;IKE4-^D<j5d;F}r@@o=%1-mugA2(@m|cs2tnvyRC%@jL@9DgwXZ#
zNG6N>hR5TRNzSCohk72!v9vdVrpcShAA%TLX4ZzZ3j;S5m0crZ`e0do(UyNg9S9Lh
z-_K3jNLNMtv;VE7!gOZ)`n+>Mgf&ogU+YKk{MNj6nLXav-}RkPCic+Uk*CGaCbhq|
zKp^8Tk89bY_@Evwyu%VCQ!&l%6&|u#{6QKycJmAWJ>w0{&v*uBzDGleG~{LdKmrQ5
zR)(vLK4nYSIvPX^>!O-@*wPHRTUE~WrsQtM=hzaw)K-z%<vw_QYEXiq1}^^yTbGRM
z3Im&kqK`!IsN1Sa>sk`=$C#5@4z*`(DEbxkw}x4c(ZaAKVN0UBey!-tJ-ZC~_1+(!
z&aQM^CjONkEn`66Ra<d=N;vy}R<Br*7fcLEm$I!m>s8{5Fm?C~nwa$be8eY~u1AC-
zA$&BBg^LAuRd5PUtwq2COXNW*P=ES}bl2x!@CA4mANY_|1!m;@RBvT{6xt+v!j%Fa
zVz_dv=o*Ba{bpYO+9@H%8EtLX6^j4Os4u@f&3R35FwiW(<%~XaiDf->Dr2%OW$(hc
zF%t~$K(St|44HbwhX~&>$+`1CWl6Y%TVAO-Fv7vtPa%T<1WqiIWSypaQ6dv4$GtN$
zYgsP*<976X4{14wA`6ToUH<1#1^{Z2qJ7y)Fkn+cMj{>oXUgJaZm8qvqm~n$(>lD_
z_)nyb$v4V85QNKthpGABTmB8hrVMEpeu}hzeU?q=-M0{`=1{MiJJX;!RR2?%C;%R6
zqMGB)eS=hW>?v*{_~n>Fl~H!S2dy33gL=ZdY$s`&e<_0BZE2c)EuyHOZHwR{wZP4k
zw=P;gZHZvJ8dlNr)P~;S@Dg00S~bff$;7C|qcElM81DpW*cV#=9Jl-Aj)MP7T|hPh
z(rzHEyak@3DOe`HHFNp`56`pYGA_~r5r*E=!;p~H<y?<43Mnkd{S6T|RcW6}A#EKc
z_i9OLzan%+Odaa;iieG8C?}kZRD$cha_m6)8usr=CSXi=d#sh#RTkK7^C2T<JHbK|
zwK_7WESV$y{m0$yTTHi@Qwh$n<)T?axO#m!wf73HfwpFN@a0rC`x-XXb#T>dKLctB
z>^ifdmjs!OGU{9V--(HrrVI5;V?eYiCG~^TuPFtTXwwHUfu(gTr!5qH@P&$|a1Q1E
zKq7{rpFBeeu63+ilyZ8o+k60LTWOF<))On8GqCdp0|Mp|j1F^zH#6{|&h8^AA-+QF
z5NwTii<3p5)*ZdULP^RPB)Qw`$%Hvu)9V6*(F|zmgy}Iw!8R=K!y10zo-K;kvJbyo
z_DcS=l}5+rW-ep&XG#V=g=6x-<PHu%0GCL@w(N9bohZ#MlIMjSH^X@e(ks8(;{lG<
z+AAUs0+g?9-~t4D8fbmYRwY^Rg#C`dJ9$~K094tE0PbI~6R!Oaby5tKR33D4$2mrc
zBx@P0%~Ecy$Qd2H{+gN_GZSwt$5rKf0mo12_bRvrLm-wt<aA({hExCbe3!fyTh>e!
zTK_eC8~1HwUOP&aWwv+oizW~gB~2uY!sKDfw-|>d&Cf(=|5=B$cOT-061<dP!4*>5
z5*lkBr20P2a$QeYmKga#f7c7_lREGUq}B;S;e*Q<r3&6#09A?~uPmiNEOCQNWioa3
zO*>{DQ^a0Fy6vB|{$o8cBVLM~kLby))mzFQ5bd2(M{Wye&o4insUrb5YS_AAK@x;>
z&kPjpPk}YQ(?qjuHyX&`*SkofFAJ{fF-$54)!l|vNt-apm;vs&N6#g!e{1O2ZYqpq
z{U=7Jvu8*AoQ<_`GJyvC*Y`PjZx|!D4BFnZWFpJ1D`4q5(jiyT2THhj{6)nIPylqY
zv0ZWqLq-|BO4O(bs+@pmYS9FNPOEr<ca|Jjbv>suWPhC1aiYnLPsq+c_D+*j{A*4_
zpci7y0T@*T@0N#L{o`<g9oC>ITwTQ_A8Tt?fu#$awR9m5|GOa(#xP#2A?dN7$$8$K
zP$jB_!W5N19-a{{ObbD(i2N4xHSB5GA;){R7Ivj^{TFO%<}E2leq<{vP~_PKH{svb
zIEQnrf}a0vxSdD<<w*yszGiy=TJ4OdN(z9@2_tg*rYQ*=sO&*fF^IeOm_BZ(qg2S8
zB{4dGH?Y@Fg5^)$TKI#6vxpiLpA9&FG-VBfr4|^;h(oeVK`&<e+K4=3k-Y=t9>9E$
zq>R_0lFk4PKL(7c(9c4Cvf1~cJ1OQ@vQIFMA`^J>gcB=(OCyt2g>a<X4?SMu`F$A=
zf)HkdoN73uBg>7mYax*1Ynp`3K7#V>!v0xLcK2L56S735YSC7ib$nDN;8|<rF3$SL
zNz0+RD^+Lp1!{x?Cg0tUB4@xqGYfC9k=dpFfmrNMYCQ5v1YvpH;fjIA5BB@)4SWl-
zhQ~R*oR9riZxi$4E`x*VW3Jv5SV1%pN;mq|dy4t@F#!tBA*RBAzcwl`o;1+RC2#)_
zmtUldpSE&v#Efynvnn`&TbKc9JSbZIT>^gtSdT%{B$K?hoSw!<`f|e2?VBDqjQ)lH
zF88!nGg)DraPR5Ll#9a=bj(iNz5TT~3d=1;wme`Vgl|dvP8JX=nF7EZqI`gn&WW#5
zU6urd9aqRbl~G8fKnKO`#nc4zxiO1Q(HaVC&<SNG_w(3qt&q8eK>8ByIMU6XcaDbQ
z%TE-o{8OyX8%C+Uaetfr{Wo{XC(oZ^!BZ*n)G0)#JC91ON2}ZR1vL;u<k)wKX<Ewv
zF<~wJbyc<(mo*jqvy1AU6cw58kNWlza%hc4k*=`g3;2A0%p_4ME&wtrvEjoN-t>j9
zbkOZ2P}s?d;YNZnW?vE)if1@h94qPkL7~>>X#~1QeQIVs{e<$CX(&$_`I6#q<<><%
z`HrPb7E`Ptnc816;AwtX<LXB6V2i2$jD`&w3Td$s|1iQr>Wj_7R=QCGpOO4M*dwCn
z3{6U)68ZVtZ|xJXPAd)L=KfEM!iAO|%xccGJqzfyHo;n-XBp*Nw%QE@wV&szvIfvo
zDZ(L967>}~bPfyz+mom4c6$jKB6t5rKQ$9U0dM{ho_FkS1#sVki`(~5fg{7jpT5pu
zQvz2*8DW`uSwM!em5Zc*91MI!v!(35Kt&B_d~)_t{IaYRO%dV4z|Ue+x*=g?GOv(>
z6|!N<4KZ=nN*|~=(xvc@_{Bs8X{U8XC^<H!a9Njf<&50<MZL-qZ^FzK)f3^!NOQRD
z>dpF-O$y7W8>aP&ZwbD2><|I6T`z1`R)m<58Z9YR<fN(lB%L5il7~7VAiE<EiaFF$
zBglsxI44*>1MeZ>rRr)-SF~mY4jx}6@9J)md7KOxcA1~jkirD($kx8I2Zd#Go?e^;
zeJS6es!fTXsz<G#0i_QjgW`q7FK>M;@JmeZ?zicxz=882HK(t6l^!c|6n{@X>f2e9
z%ikp2T>?8a;=gueuE^Z8e=}Ku`wjyYw^~*V5Bc(QqE(13!Hcl_?CDgr^*609K64K+
zg7%@6_eAW_Q<TiJ!K|&Mt9;|N|3VM*(-Of~u8!NEAi%BVL&v;)YAgIqzXy-4_D=qD
z_|m}0j<mivS?U)U#9ddIQa0uc3(WS6^41K|Q%X><{03SU3cvzpP9z4FU^A6=eRWX3
zEP--bqk!gbD%mqB^_Vf3R)&m6`!(0-_-`Wz-&tI0NwzJ}wfmGLKiK*MMR+eTakKc_
z<m!-_0;}%LB0h$AZ<n8cr;Y9`{rG17pFn^$EMN(6>a$X(hH%+8zSFP(+FE&o>sFeo
zz=4mo(D+M~8sUu0kXgOZqblUaECQl$QpOyS%`)#b2PvXgb>@8@WXeI4@UdTq<|u2w
zrT3%vjl;C=l5ZFCwNlK7_AQi5ldf26<i?HID$p>Sf504Co~>2IjvMsk60(I}f5?W?
zfV1Oqx6t0=+2&DY<icUAmc{DT30)O5#_yg%67ILMW=$X9D8Ynl@C)*X6(-di)L@Jt
zZ>cgh;m;H|NN^jR(!CrW`qfhLsUP}lx<W9YnJjo|vfGmj|CBbmrZnC%k@4*s6O-%L
zgF~E?7qv&6%pNPjfyT>`Ij7|G4aaX4sopJ3-jI21pcyfT*WLuu&j)FxdK2GrQOC5H
z7M|u&0xr(~`(Vg|9TrW#X&P+$BV(SJNj&ndDvnq8`}B2&e%x)iXfN$vn?s<bS{z%Z
z7Omw<{RG-X@cnTvg{hKyABPZIt}}VO@W#v2TpZIqvtZUZPCUKDr4)?Y`VOos5RzYX
z98H6b;>#V~Gq8pNeF$FO?)^2Jr-~OB5K*M|0#4!biiy{-0+YcX)2e?a9k|gz?o!(y
z8q*Z|#Ot7wZ|&mB8zY%I_&oOBAY0E=Q2p8*uDnBOS34^y^;|DiCy?DD^|qGZ1pQO5
z?gEnbm}=^ve|K^s1^Zmo3FAWljO2Ie_7u|NokLz<LU<Hg`_tSc&*dr~I@u0={lMen
zDiCC`rN@z_M=QDiQE1%p+(R$upVqGlF;%VaAGAiTD9H01e6m6j<S~MI{fA(<ak&5e
zXuc<jLs`UJ>2b4*WYaHT#l4V$kw84D<yTeKtW)??k(gipeNso>U6GRr7b4*fGd2R-
z>JT_iYn7ar3E8~BG}orU!xNKvFr)@$Nv7zN$cC2{P&%TwO}H1+1RtoOKPka)5<sUm
z=G;5mAa+snpD^9+blD=R8aniKvL#V`-az~KoiXvzeoAc`nP0_<=6zRTW$dUKcb9ZB
z=~;m>1Pe=hOYCwKNQ`_{eyDZDs}?LVMVI=eJHG7+N=Rqj%wei2()v4rGU28GIC~Du
zt3a<RGNCyvwo(rKZvOLHB|UJ!3bi?A02g{dvHm+VmKZQ4UwgYtN8N=@WxCGY5F9Ck
zk$`JiEOFNb`ve*Qq-JS(MQaDde*ttvGk$U=<`SZzp8!XR+(`vbWSR#{ekjtejU80j
z*txo)K-8CCIFSU~%sGjDN?4xWbxF-Q*riDGUxU3WoXCe=S~4t}5}9{1z0HT&Yxug5
zF_Ye^V)b>E#PZ<E6F0d8Z}~lZDMpY|&HA1lnLI*@HDL8xQaVwsiG{rBHK)fA4I5D!
zw}GOiy#k|r*x=lf8#-|+$t-H=@+rW{lCUg)Dy8+7xt^Wsn%lD%vwCN}32#}6tx50Z
z4C=a197BZ~A|5<50Q<K$4jZL|et`gNwVn`y-T#dg_=_dEqatrv6$=DnKssDYQC|g_
zXkWHkrV87gP+pTK!6t^VcE45EHB{wXi@fJU?v}*6fWDAOCq}C@zTa<c#<XQwZvg1R
z;8J-cc|Ex$k*naw?P7k!HhcXEcP-X6byO&mEUH53%k!mXf&ZSljpR!TL`i0=Py<z-
zuczCS`w*-3M|VufsgxDiJItevJy%4$I|kTH2xu$bxFmy$iW4YmCj)yA%(umrZdIu5
zNt<Dr-rqNd(1Up`@U2sbkBe{mpY%-lxkvV_Ti@aS7eo+3DG7WkVjE2xb^h5%08jTl
z0ztuNBo-j>v=2WKEVqTgyh$V)KpAr9cwGp1r-b?45N<Sx|F>zk5z$><O>j+Lo&U9!
z$eO4t_T^#CJLm${)mQiNe$#}tok6CE9l?jdKi<Na=37sGIX1{VV9-}A1ChU7)#=Kg
z+-ca%3g^2r<f<{pJD;n2+k>z}s5Ls52OmQ7cGWPp_~Jn=^#(}yku^zu8Q5|_D#+<M
zwFu%)pQCZH+Hd(G@+u?*eS*=uoW|q1=+&Dh%bxe{&*U}hY+Asu0t$IMiR9%Y{CXm>
zl^Q5knE<z5@kF8Z^ytM^!XaX4$nc-JEFBI|U*RL^PH6vQPXKW8_#vDT+V9`4Jg;0y
z+j6H22+!o+gR4Z7X+^CaU@1XyKT&M7Q6#1gLJOtUVLVx&y*vgYF>u)?6N^>gI~Q)n
zv&#I^!(F(U6M}+~&Aa-#XQ?fugHs})IKo$_RRe>|!D+vuNf`M^mF>({P__R6?7|Px
z)}ue~oot0&JOyHnQ6*<MF$XM_#$q@&iH!zRqVY>g83XH>gOlaADwmgaP5E#dSQS2G
zaXO%A;TO2_L|l8LV`&G<kHvT;f9Z$?wTvpDQ5ubOdrkb=IpP5TG|vHcoVf|<vUmTx
z7W{=+<^1IY=aTYosQ>r8V-cVz6hN}UC5LyMR2d4pgZC&u&QQSYk2txfN8*Y+(c+2=
zG@s{=79am!EKf3MUSG6!ReXCc^^f1NO@nwf2RU2W-QKa+xzNYe?5r;fZ#(aE-v>a)
z#lUL7A7MIY=FMZjFNaqYW0EVs;h%7C?2U@dBTg5>pUnK>;`bpYCLO0*Veo>zJpOgT
zHC6Nv8;{<OWZ9Z&N5V5GKE1$T05bAg{qnfnU(#AIb8?2DP0V8ESBq8F^Kp1mdAj7D
zFO@qmRAcSq1+#*hWyc$9A3=K|I5`Uy0dsB09{iFZunhh^^}kR%pbEc)+dr`U9&*fu
z{!wri9}{R$823wL+N1q#NVqv~VoK*1EDtPs3u>U0{E`*Gmp8GrB}~g&3Ww&IH$bMP
z60U+PsxRG_UNU&QBuGTHQQ(YVv;D*0tlf80p9@E+Jx&X!iAUuIC2=uJbXq;q#uqJ(
zfx9;K`?~=#bRi<2ch6aIO~K1r(NlFGh9u6ftho{XCmnmsi!xT2Ke6V|5HtsjKOz(~
z%!k38qFKqJw5JiGNX^}^rC2^Wa*T2_yOv(_sWe!Lo1S*PYy-bokSOV~BQ|ehhpp#m
z-C;<<nV%xWZ3NeXa2c(R;BSrDaY-|4?xm3H`YA;Nugk2iD7o?0YWyg3<5~Od(&^dl
z*68ZT?H^SV#z{=TiSV7m|94dY#_||Yag1fwwLi{tg@X6f30{015yRA9h5gPKNMtjt
zVzQ_8#6EtJ$=21?)$`Q$YWjNgWpih8deC#p=8p)K1KE8)87sPf-pXve6~|XqffHt1
z!MVO1Ti!W6EzOMTc|G!w@I`v)eAuZ&sHu1<iWCuOgf}7QTD<Fh&zr}0ImbR!Pxp|k
ziQV-o(J)Y8aRnl237pF+<-DE&=JFDPKx4iM%ep7}`o;7iHw;C>w<ibhs(pP89OI#?
zm9bVqKPY+79o84i_;K_CepeX99xivu$L+fFY!i!vr^D~)5ozdSbf7`~Dj}-r?DVJI
zp*h*|f-8jS25<6|KH>cpFFY)zS-J9+<JvshUj^t5wgt5{QQiOpi47V?<I@0!M;$i|
z{u17|Yy|z}Tw+V-cGx|9YZZkcIWi<7O5IcEcYYHHp)JS>i|YUCsNkUOxbyKt|7nor
zA!xjVE*QXSx|qq}>j-Q_&P9peoqSgH_jH2c%>NiUdcSg(QGVRwDf54?t~&1eFDGi*
z^;my-QZK8Te9u-==JxDSu<G@c@c`}aRtcvhi;>eG<c^saCX#aA9ua5ezFskegNe?f
zi)$vMuJ7YvlnOU1RVa>!lCc&R4O=1b*NmNfnY|zfI=HqM!rc<4%c?m0PMOf<n4k?s
z%MVoy@x5Z6)fYL(xr#~EG2O9j%Xp6ASIflxjoo>k=*hXHVvZ-wm&gq=TY|>De3>Cv
zzbYDYq6tJ#8PV|X8noU9y$k1rEM))Zp<0U#1|UHUS?Og8r!@3o4LOz$e=8UV1NZYu
zDxj$0PjcbR&VTaMtE6R&psY?*Ff(x{3af+hwG;bgTWN~HPv6cp91PTRoQ4#CYFO;J
z>#odc=#{U8O%E#ZD)Jc}(Qm+Q2i!C7gdzoGJInTM$CFtTOVWVV3AUxU#^eJ#d>4Ck
zZM#*U+o;l=%z>zzubXq>rumSqo=S(#x#YW3IvU%e8L}}GAkx%DPh~wz*_=L|YQ;ek
z`IHvA@gzmVguHn`2ZcEaUdU<0s*fix2nf_f=^iDIu3si{2r0b6A(;r!z|&XNA(0Hc
zq{6`lCDEQy`JD?~viC8XMR3mAlqPBGfN66p<lKO>NJl#n`jxS&cmhPfUec5U2heLh
z|5Nb)U9srng4Ye2=V2hLbxK)X!l646JjJ&BkcKO6%v-+;YwINPZI>^hZKGUDQ^mlJ
z#g8PUz*L-K6fEVu!?%s}fzAN`Y-($8?-JpZ&T$*OSMveOj~ID`H>)y;w5d}nd|g#S
zhTuFMBw+bzvrqL?v~kUb8D0F;bj|&df2`1e?sy7or&8)Y{5Z+(;{Y7XpOb<lm&w}i
z7Y*^nCDPqyCCV<Plcgd8(WXT`QC)bqx7KBhq!NLiFl`}srK~~`y|Wybb-c^Oex;0P
zGm!;&k@fe#m20T~waL;_0y|S$vBo<#VElfbFd}M~LLY-ZYja-JS)S_clrYq3i#mcv
z?9~74NJ~c}#rI9z-<B}<Hp$H5ePT`4FHxqjl@b1*%4#@3DYO;utI4I2-rxSAl3H!P
zG2dAy8&1`~eutN8ID70&jFCTT<r)>lF1h}tD;`}cFf`_#XQ7ojbpZ7m+SBa}bLveo
zZldP=XnVTC9duV;Y#%26rp?W+dlj+dWO|q40jBZ+>*vwkOl-ubk{uqllgz?o$^KNS
z;lr>#MJGe9z#{4P<+Kek=ZZsW*FkcXGSbSB!d)H%X(Nu%b&5<eiWJe5&83GG_+f(w
z>pi%d*#;i?kENtq!VYxbYgLU_>-?5xv{aWBe1MV`j%lJj`>!B@e`fwi4qV8_{|XW~
zsG7zsfy!(jif6k-JM});_)YtA0CkKP=2L*b-4))dZOM=osQcS7<s_<7@XQHD$!l>^
zjXHPuQ|T_{@137_L;*l?h^peQJpi<mTg_C0b|i{nBLrmX*}FeyTewW)O7&~TZT^zY
zD)m7&(o^i8l_$_8F*RwG9H%Z}t-pBF5cA#wnQ&D_BB8!r7DIk$oOfollZPOCa^j7b
zha<mU2U>^vdCwQRzB`woR125boB?)Fyfm0_-Eh>L>pZycw*=}{!*bt`&NrXWbl{<&
zsvC7G8^!8*O<a6rvACU2&B@zgPE+bdxa2uqNFwf`W6P)kKpvc|{f)HzK03yu99E4R
z@9+F~k|MI;cM;kQTW^5<o6{T6MDL$fZxVKP_Gqa>1h_Dy7)ljYK&Mbmx9(fd_E)g*
zR-BtV>5bE90CPz`ol!g!`y0(z(q!2u8+SM+CHTY^?%uv8P@05p02XzOHdR3`LkvKW
zPnYm}cKb34&SMBY5P?TqAeHXNmW1-LxRl+Kxm28MxDSH_b$9o^+hu}lndsa0a@>pM
z#j5n|JJ&f{QJmEwjg_rW!O0Nu2r$K0TJ*tiU#<PjWcDd%Ko_pPy)kRZ+O7K(N5qY^
z@$qEvZ8J>R2I7i6_N@Bc994HzrWrNGs9D?wB5{m~IH!FPnfuoxaGNYnDsm(MnzleD
z)5uF^dB7!JuDSER`u(j*TMp2tXiI^&o5W?oVcZ9PRYP)E=S`R^g{P{i-brZVP_`MV
z{qPofcP8BFpv|zb`lPQQoX8HyyCQVR%%X3+(!_2H{&~KU3=v$-)epn}{a?NulEM+u
z9~Y+fTblf`8UR`Wt>9$g+wkK0)=&917@e42OjUHNGbiT~>Ur;sq~DDF7Wf&E`QfKP
zBtu&6_U*VPsQv?0t6{L5MH=}gQ@zfCq+3cS!on{~)Ai9j4^p`ZS#hw$d;|?#+uzTo
z1zTK<Le7yn!`t<J7dMK8(y>GgS<CkfvcJJtXx|>&#p?C#m2`e<p4bQjW_0sfHB$qF
z98;6_JC%5KT><vk@d@-~vM$;g82OOXtg~`yLs_t*q2gB`V&Hds6Zg!Q=OBe_kjFd_
zsQvX+|2sy2e+%Vf*wMfo+LHUbj~1Qg!w0SihC69fuT@pD3-AQ?MkL#rNnZX>K*<?W
zMP(uo8k$DhpS@$$r)BnDaH`w01?5{z-SS(k5-mV<xqH?NJ6=qa00ffRDHjf|1^XJO
zVeUB|pDyPRg`ePdnIY=olRq5S>AM7Q^^gbHrmhnTe0~q6ZKj6X$2R*c!8WnkHA5=F
zB>Zue68d^7liVX!Len0m`6|NnoF{Jm-f*u3E~WkT{Sv@%%aIPW#k)P|Ly6RuZ;z$X
z5ujfC&eSXx_a9*bi3#xB3w4Lp82;NzMZ<z-Fk=#b|Fl}?_>|<Y`6&EyEojim9SQ~4
z$UnCj+`P)FXV*U(vnO3Ag09NYKc!<-_J927?p1_O2k;a+1EG{B)gLk>90}QD5XEi%
zO|RdsXZ;NBdEjqlzvCqV85`R?;%%OI!%uN^O0Z>cL5tDO`7J6G&n`c8%zbprNDJhc
z4lI~7=k|{y&X$ZH*Qrfz+HvfS^|Dq+NTJN|Q4PI}0pAllK$XY-PU^PEd~hvdYf#z^
zepw-hrZ#N;S^f4F2$jx#=BpQ9O6k0i|6X=I$udsvcIfuK<{7Kmgvy|#3u>uhE41NH
z{Enf02bcMqnqN*B&J%w>jKJ=rHWYZRec%6k^JBYv#DZa@42PpKA6G9H)PMR@3xv(A
zP(MNRgj2tetRDC36k9_Wf5xGw@dTFDU`KuZxLwTjpEONUfJFP_vN`m7FnjpnS0iqL
z=qoeSH^ecf@VG;y@ytTq&k@9}Tt1|6Wv~D(gupOG2-u7zc7DYM8IxfSB=IjPon?|n
zPu0Sdq-h-1Z;z=W8*Q(*+T86v$5=l3awLYd;Rq4x5Bk$bB@KZafjsw|L6&*HgkbNY
z*<*MZ&Z}QPNJ4P86X4;Bwml~&t>ekPu)3K8ZoGyQ45U8{9fP`}uW#;TN8P@eADr+h
z7U*<UjLytE{HF*?pvv1KCmxb>`*%|sD}qZgje`izZjeqUmwkFxuHJnd#(_K7MeyEe
z<!C@i<_U!8(3)NET(`=c?KQwbHTFVjVq&f00)KJY5rz?up$hbsOzV&RTtz8lp-(dP
zesCW4`=z{$C3~w}4OkfM^<Cm(N9@w-rYL=;2=>o}4Nr9F>gj5%!2)Ye1oKYKnbY?L
zWj*kI<nfcq$f~RI9p@e<tSJLU4;+&T%wY%p_vief*M`j7&i$}t3$vzrT0Dx)4-`Z{
z>fXcj)8?WRkem*wju*F0kb8yr;$$4EC{Wu9e~<&;CxPM{o;pzc%()q_*_(g7m1<MW
zmS_LxHL-!Q4;pjN!(5KaUh4Mv<2+qnIzrT19Si4{>mdo$Mh#GFeG`T=Ha(Nu@)I){
zu5BbQGGj4j^a;=ov}y)XNU$)njtc6E0)3LhSbiU(YKKBh$cO)U43VDYb5#-jEiC`I
zX-wp~W0h8OE=Sy&pl``tsF`L(B)BEl)@DEpAI5%;7Va)74C>xkIUdHFi?pswg1Ycz
z_~K^CmDZ!ih!!=5nlu#0*Ya*^!RKP)_6-_r*0m8F-YhQ<!T6b$Kp0t4zl$w>3=dPl
zk*%(3-_zIT;NS-fHG#Odsyu*d-Q&b#*-lSIVMqomSK8DTDdK_G!trO)$u=i>8moUo
z)iuZFxh!y=cbMy4r+=@2*GYNNK5zx}q}2Z8|974ABZX>%xF>%{^fe%mv6}uoQP@4j
zTOH9+=PV1FBl!Gv=n%zGdrG^SpHj#-^6UIa&Upcs%HKu-A=I4qvZb54<O!GF95$~U
z13a<WZ%GuE&7q<ZbQh;HK2k;jk*`R*zxxT&2gg1uj_2|F!`!^kaKHk<ElIB;?#pDx
zDe5s`DHQNT#^(=PfWpj7D7R)n65t}40>WQf<%wgB87)~e->VQBc2^`A3Avj)t0bW^
z2?cap1>b7~d2{mq9E1*nVdh@w1%<rJo}%FQMSg(rH|DoStdC=m`7-B!mhBVGHAA$q
zMrCU?EPW}PERXn4y8sOh`cda@JHF{w<8Sle|9S|EBIGHfZy-3a4+53f@0xYxB%(WZ
zj$Qfat{Kd1JTb4vRO|dfhy@@B5$h2%@OpStLKn43KE*1}=W<qp4%Fume0uZvVbunN
zFA^fS-~!!tZ^t?Pg<cr$4WT+_FY)hP4|8|j`{GcFe{aWYgjbDwErJSiy&st@l67nR
z57KgmNeHQBpBA))Gv3qY6sLYJFne;fLCjU6VP#G0fBiDPbC)LT{_xJbVkA!ZBYG+;
zP1$%oTW-cuTg1V;$^vMCG)|SbOEKID)WW>M^ZQ%ml9xi<zDXfxXL+?e2`4|5O{;7p
z8_ub9l7bNNT534{hpMlRi>h1OmJ|VLhLkSp?(UH8?ve)S?rteb0V$D?mhSFu7`nUb
z+xR@^ocH^8ezO^7_S*Nl*L7cEujF5>kZkkn)AM)dd;@H$8VpeXl#<t<gmVn;wup?s
zr|rwxJWR<g{ExO%nxWv#@*9d`3ZI*2?3LZ3bw0L_M)3odf4%w*CgHwPB%^U@!OLN}
zOs@rRGkj<8KubLH4Lz95-ssrm(#gE%JLeLxo5`r>JR{CfyAg4mGrj@a4}T0~T={}t
zTkLn)wTa#BdV65wQyVMl+5(5Q(+5+=AWzm-<kDw;u7agqA=ok3&cU=oQH*bd!y?5+
z9x2PpUcnCdp$*TBy`N39Ly?57rFq6rdq$3z8Oe*&2{8rp0~x)fr<oUhGywGnk2Bot
zU&BJqFd#C@3q?Zr;s4N>kWt~76_)q5xpg$;h+0t04cx>NcYK9)!pMV@L>;=0a$}1g
zt-*R+K*-lC>_kVZz)HY7?S_Z=vYxfe)Ct&eMjr6}3ON#`tqKaCgBywUZVT1;NbQVZ
zaaz-M0!Om{OQI}JtPO|4u!*P6nfXHml)O_~bWmIyJ6al{BA-`iEjq#;FUT0jD>XW=
zt*P=0#OO=|s>{5h1Ohz65jCp~3`7j%S?#PVBybkR-W<WT5%DogZ9f9VWvAyqbrlXN
zlUd@2HXmV^uH+c15<?sVmf!#0VG78`3#$&^#<Kq$(_U}#92>Os0-M0Qwc|gGWyrGF
zJ~<ExU5=e}&}Ym~;dpL`KMRr8-8`Yr5iL?SJSSpV?Hgy@_$q-FbLa_8uxD=CQfa@k
z2S+IElmn%Ia93_`wT-qycn{O;eX=g}h>zAFw!n%pwrd9v%Gk<yJ`X7~u(pPC>nB#y
zfhVNr<Wt84_J#KD(!7ol8plxW*X)pj9m12*Usx-GUOer?Yxy-FjaXv{V;DBVfSeCy
z@5gfPK)03^naF6R=xvtzbB|%Cy?X~ZUg1H#RT%ARoMWtK{D$ublDhYp6DdB@xwlRx
zwq|k7PsHywLG>{$NV9w86Qj2n4A|s*grTL!f19Ya9AbdMC4}d2RQ|sf5*scqmPyHp
zHOzH{K-@p8>qR)%?28d>R0nkWU^wEe?LAuEObF^bM#(tEzI-MO$-hrc?OO=qFmkR^
zIb&3`TMWK1ZxzJsQqOl#7j^co&(z05dLl1NHq_3Uh}gXbZZ24LM{bo{vZB1si<7B^
zrQP||nO{LXzu4m_duR}~b_$hlovB01M}C~$S)*|jB-XQu(ZIvjr0b1L=#lyppbduB
ze|ekP;bi5Z1zkh}BCj;q-E~jyx#ve~H{VnC!kb^Wx}<Iie|#E5{G37^->H(LO&VRn
zoZY?UzEJg<>z~KmpIWHxy6%(eL<-bov>R_sS{e?JV+S4B4mD|aw7ViG_?2EpMkSE3
z|BABQ5Ev0q`wM14>(PP&GleuE{r$ezmvp&b;ZH~VjWrvQj_aTYWUq9&-&?FiQ!*J>
z<?-!`5X&ITQb*!Rk#XE+7F{$(AB>Kq+sj4>lB33PDYW=z%27W0w2t^ELAQ47B(!}=
z$Y94(?fk{5;)Jg|E>f|W(FX!d%H)XT@FMzeInB@#CAU+eSB-@hR5Xg=lg`yVCUL{9
z*MXsb+9z1Ym-REZwJY19tTwN&6a-y1)tQ{C2kk7*dTx@~qX=A|vcaZh0$H*fJ0cEC
zxdU_NRXOb&2CcsiDOcx+9BlcAXq?4gY!M-HM_+<zL8_H`M^yM9Bn%xUX1S}Pz~^Xz
z3&Y=2H3XSbwmrfRXqzLND>!vx<tioGQaq9Gp48Vwv>R?J<}Y=#Bm(obdBXj4oX(qR
zUKQ)#Z<=|+YiF84ko_iT;i4V&&pKtl@7#Y4X)jVbn43C2B~gdh!R9Cb7s$u(_m1)_
z)<6$F?Y|ah4SBl#nIdmMpVc-TZ|QZjj8M<X8vYopZ9k4&{c%@_FL3c_ceL6&s*qh5
zC`q+3ZCd%Z(S@kxHQpaar&@!~<{0TedHKor_=IXZo#b+Awhf(g@_U_XUnVH<&!6(D
z_KhmXKUx%^f!%(2)U7PkSTXL*oaZ^);yss=N@^pH(Ff{vk;R4XYCi6DF^8Bd-x44r
zPBhkY><UMY#;D_Y7a8L8Gfd3Y?9-O(*U3V+z$H)X1N%_jE-i803yewGOUM9tkSZTt
z1@(e1Z2_rXzNv>-KlgWif2ri`zm@4NA~3l?p7XPE{a<M^uz~inrS!VIJuHpI#o?}R
zVd0NXXNknd&u+K7^Wp>F<o>F`<R=W)GNB(*@0u-By!qSoR(ya9W1fq^m2a-B4)sJi
z7gZSabM<B^WCHp6o!z3)%RMLLpH(5cal~|Q@-7H314u7)y_1IP%~2?37M3tZ>%0z$
zFS)@oW<qC`*C{)DN(bG7+*00?D9clXd{CEoX8=bk$J$ukOsxxM(pVjAuKi_m7)d#~
zwhf1)v8$p6Hp>ilD-dU*f=y{;|Ai0Assfa-x{q)+B|U2Q-k0t#hokLT2$<7dk81E)
z7Xwm@AYl#{h*v%g%-Ge}e^6v$a+El(k@`#uu61WF#3Nnyluqyjvu)JynhR~PUDkf^
zEjC{G-Q{%y8fo5+LSuNK*ZZ$#IL0p2vI=4KR+b_TXy)Ja#ebE@KkrEm6^K`6XtqtA
zlkwv|VJ&4fM_4mOQZ+{emPuL;fTL8uZ3W#g&K+K{x}g7*`1$xrs1Q?E1>q(R4)lXj
zm(rdqiL@b8B<5+*sZk&+?}HdBzj(FPcirGye3{unW%taj2WL+<$k;fv6GKlCN}W*s
ze3<TcfJZ4&Eqd^ecNiOyeb>HGmo=-o^{g@v?+C3`Ftx4E{o3nK)zo$3M?Z5YqNZMv
zS-mo#to(8tsb5iK6%1RxwExv&DoEc5KdQjtMN4F;nP!JlgfweVpt2LJB5x~pFEan1
z&$k%a);q&2ktZv^F0yNN1%Mq-(3#X=NR9^mYvzD~CNM{k<7hHLX=h+-9nNv#us7az
z(#hOR;EuKC53TG5tS)17=$3+4b{$AhY)Q!B4JXxV6UUF9|L}xieO|6_jO*z|{OlSN
z0UqxLPA#Cy)RA?k1x5VuKMr39i*b=Ldm88Oy?tywerlE4=Ap;Tkdpb~)YB`B0*V7k
z40*f~@Z;v2iQt>NWpNk|?~0>nU9zaX-u-C}&Ihl{n!CTx0Pid9O#n5wIYlU`%hT=?
zl2Rm~V2Ts>w7UXWf}U2qNWxYoE$D2O(A9VaTU}F*XtfxDw9&&P!U+J=HR`FlC@w#v
zTd1DIr4FE1uIN7Afahh!DteE_0?T3e#z`%ZoZHN5aMU;(jJ^$k$#uRxL(zYFLO@Fk
zKt&wgfs1=X>yELwt4QON`N=4jApXhHu1-Yiv5+m9zaNVIowfQ&Wgf#}hb3$+0#|q7
zT!0ioMv7o=B+jEDS<Fqni=%Jc3_AVqE?&`u3>%7dTKRo7wOBdQBpK#=)rF~63P@;)
z)9*(?YziWPf%DwKLcJ}MJ#CkHyuMccZ#US!9~MIGN1M!0s|~yQhfD)F;^SNTUKA^i
z@W#G(LKjW)b!y~ilj{XPYGVMpU|r1jnF=;&7ZIsafCAEEtu76aVQ4B2q|^cQQ-dLR
zSr~v3mxZ6-WV?!~S{H5(o7NeAad}609ZTFtb*grJ(V%MqWM#jZ1*|7B#ew%`io3l`
zGvptW8qFF!t<^k?;qP`;$(DmPmYqTtIFt2yyhvg+Jl?sQm#?39^?L2H*`o9~SC^o)
zZcJZ&&8t)<JNt~Q2)6-?)-yWmewumx#>0{&J|C;Q&CwP>Rw7qp={5!s^O`3ka>uPC
z;_`o^bS0Qv*{_Ejri>;??|!YlI)Ue;5!Ar9)p$aklLBe;BGRTx<uJM;2dClnv4mOK
z-cp>C*1ge_04rL*pGj)-4!VY)GizRq`~#pK-NzsREIk38d+4FR0%2_Snc*$}UxP;_
z($+M5HQ@rD&jRtLX0*3$vW8G>+k3j9z1*I$P2DcJJ*4q-N|C%0002(O4GPt;MlNEE
z+vn&XOl?Hza{PUcA=rKwXy84uPqeYj^~+p<X4{aMEpYD^`di?U__K$8l@Ruc9-%>8
zi|}ItsW=cy`KB(NmmQJTlqq{;<6H$Y1!vQiIjL8NIh3Wk*y5UHmkP7zP8ii8VL)bx
zGV;(0fpZ+3S6Jzx!t0~4<zEzt%+tWh9h0ay+Nrl1eb{HSS@<?S9b3>Rm#~|)f1?Wx
zpRcn*(cOAM9;3>VI(nmri7T8=30b>34TSmJo2?xCFA{Vp^-8m)3^jcc2lCCmy)Ji0
zUdIxd-Rf4pysv^UUUm-?bJV!mv}StB4*HT%8!^O@-f;n@*mNhE-TZ|5X7+%b*<tmj
zyJH}-!65XNT!I9l9X$OF;<yxq_qq9f$nSdcx$qD{geNZ>GKCaNzRIY#G8|{eeXEA{
zhH+FHs8=%yDg_DEeUgqexH@SsF49s>pvw@e_6TQx4SAq_6ZdP>TTm2TcA+&x=*x#s
z1#+_pl~f;JVicC8jogw~x>L+2Z{OcM?L3P;_G(|;#y$7QUFRi5Y*Ovm$;u1+fyi92
z4%vq7U9yRB9uaAc7~*5TV;dVZnnVHl=aTyOZ!thAe%5Gr#SpNK5BPh7t>XJnF9DZH
z`U>G0OkewJ6`&Ys?(~+v#b_sW$>VbHwJ5)iCko@HJvbtOXN@D`>-K-05P;Q@695+`
zUe4e4M)8;P?L?*Rra@=(_(v~$Pq?EiMON`A6?9K&_UHoWhJd3<<-g|+0}=xbiP9kv
z_Q(&pC?GZm`AaI{GF%e`OVS)&=Ef+z$rMIGD+n5&{wtd=K}g?O7DDr!M-`^=*h{LF
zGim!T1=;xz#|ZQ0O`VERx+!rg%2G_u&cg6q2p(3}(2ivbQHHh+iG>~?#yQJ|7Ul{`
zK$0X3ae`%q32yxQZLx2$gl0{>hz|dF{>KX-dSbIBZt#?4<$Hm;Pz|(tMIBdE%Umv<
zeday9cchh}9Zzsa2d8THO}w`~W}0V;Lf9}<Hca;vvuYOt6|K2jJVtzjLyV^s($0l_
zH6aTvZOI$_qkm?;Zy|v_oD-$9H1ogy0I%o6w)E9MImr5++bB>ijZ8A-J&PMGx63s?
zO=F7@le*_6E;x;qTj-x*{%!--A0W=~ueqR3iT%*8Mv2vja3jDCo2>6P5JNx@4xab0
zz!nZc_vPD}^q@ZTnl2&$NRK=51%08AnHUxJ-56Nqj)0vWgmeBas^gL``MAJ2`s}|b
z@~#$OrQ7oc9w3O3#$~4W;_J}LEy$16-FAG6Kt3%!O|-WCaTFBkbFMvEW9!X(E%Bb5
ztB!6$R6Cr}I+{-fS)K$Kb4E0<o?oE%A?eUN2hRqJ1(0(~(qq8`juWKb4<aJL*6*h~
z<+6?cgC;yc`49L`o}kg6e~UnUx_-Bl;<dGBIUso#{gp-_*7m<TyNI?GaUv1N4$CU=
zR_8DKbIc|A`%ni@d;HlDiqp{@yLLH!@P^HMX^fL2!>O5%kZ*DQ!x}*hHD2>@791%V
zLKO0<XMx#k=a=PcwQTKrMcu>2k%;!LFsQB{MrvF9MOKuHJ}Rkxc2dW0JnyxQvNA7<
zXxwFaw0r2_l;;W0<_%kKuH<BHz}HFeH*v|Lp|RUD`9NaGEA|2&-=bx{q@Af&goYke
z`dweNR(7&^!1|#=Q58{-WzXtFS#?R?F|~^^+?5oEoxGa5a(tCjgv8yp>y$~4t8Y4w
zTjt^N-vecvp2%8TTo)d>4f(40J5wh{4z0R0{r@z-z>TkXL7{?cZ}Zg2?hWpwbH2Ur
z*Q2GQ%k#B{6}W$-AmK+|_$&<PM5hw8f^^c#Gy|f6oR0B}j*u7lMM=h{!1hS;ZbM6+
zG|TE1KE(Kj@%L2hdbdy)01j+b7;q7G8o5D8c#o1c*GFk-zu(u8Yl?OyO)CL=Xl=1G
zR%9l2o#G#n^AC|57S2)jil@=ns}Ur+IoE+TqwFj3$bOFurxS8eR~?Zfz<Vk)=$N;J
z3v)*cdx5&GlYu~G!{&q{t-4cxOMm~vbMzax3=l@brA%c|;Ir!A?Ie~|VVbP67=Gle
z-;p}0<NTbNmjGG#`vh{{d1ZW40z<qc5hxNTl&pOAAb4_b6KaCt86|-kO;mI!9}5fX
zy`$#23|Govjak~c)Bb-2Rsi@w2z`s6W;X$fmorDX@;tlV)4Pn7-+1i9pudU*BafrR
z)XYqJ<i3YsNK*MH<6tfk?(0&pP4&B7#GCJ=USU2hmiOrTU7jKWA|wJ5ks&02$|#C1
zhA7<wt5_2LS>=s$I4nT5kezZ*S0Lh|GQznlPmsD5cfXrFsQ_P55YkU5f$62zIHx--
zN5*S0nKk;1{wTgFroB&LPL<w_dgG$G%|!c=dht+NxSC}LZOq2y9+9x{M;Bb+oUV|M
zN7UzaQ|6N<b@sE(KdCz6w)Yefg9xz;BwJgND*sNh+OouQN~DaG*FAwKLY*cz)XvUM
zx8sJL(;p1p?~u+uQOgJu`99z6yoRt96c$EPwXEA?16ggH&ifc1o}M@vsy?52r7ih|
zn(fyifxv<YApdHGwEz_kI*OT6E~9O|GxToXQdQ&;4srSK-v3HVKzak&!LbQAYC39<
z&FX}5#N4bMUy>XnMS&-^12smr&IDeD7da=Fjd*#J@r;_u`QKoLxG18|sl)MpOX(`t
zNEkluUjL>X(%pq;bCTox3`;NT6LzujN|<xL$KEl}ug)_o&f2U@@#!wafo6y(Domct
z2(vVCDIKyl&oJFmp_dL$_eLDqsWl`?_75JWiU(#6b6yp_YVJ}Lt6P;XdsR|RV{LEp
zo%MM2cl=`?Xl6gNo3v6Uu5GayUr7-8bl-i{l2)LzcJO>x`zDJcY>lM1*XSKk>qx9+
zb*q2wE}S&aUjHpW_CzQ}(y+=HExGtHy&JIZ591PqLdlDDc6kK_u;s1Ke}vFv_=yw9
zPuA9mMlyLqJ#UVQu@Q0M*MZzN#P{!U7M-1)fxJRw26*D2t<)*cyK_^x?>ae(tzU6)
zaG3T>%gaN*vW#9-RM`HX$yAG&pd^fxPaS$W!BLkHbM%RluGhl|)Z=}}2d@JYj)eo#
zun8C8e^!7ep?|_}jetexezZLi^L#8J*Pwg{zT?s5F5%Cx=x0(xWQB-!;Ila>*84?!
zDi27T?*wR-EfFqG!KCbmWOAa*ZdL7(?hA55%8J&cnwEwY+=>`jZmsJ18JsehXRE7e
zy{q!%r-a;9A+p_?Xx+lhKiixWMI_ov*I_w5UI&o`-SLZvW+{~0hz2{GHw15c2j0E~
z3&%Iyq<!aiA#hL1cO<1H$VP>eC&>By?+Tjpgi|4x%J{*NP!uAD17tN2;+Z&5Br^5s
z*F8i+U<DmM9afDZ3f}=Snr=Xl{MyBx{l&KI<87}%&(*=~`0{cz5UPPKZHUuzcIM!9
zzgGxLyfix-dg8Ui1F!(<J#XlJ?kBUs07?;ZuTe@p^Sf@&GbNz*l|%I}jL#nE#|wQ-
zg7Y}c;$6?r8uPtDEQne2QGif~P0#(=Zq=v#^y5ruce;@31ppWbZlSv6(}MnJ@CPrm
zx&3-Na4SBd8?kx1T|UYNC-&>F3!N+Lqz$YgK`k~M*=E>!1>d#!v&fb!7}EM2ZX2_%
z!^@H=Tqm<O#$MaVGc1z@>gRK7lv2Wz5xmSki<wx`jpP2#n?4exRd1W_u3qO^cUV9n
ziGRHKo=}qmNTin}t%MT#W3_ZYr_7%pS(+wI3ulnWWlkR%uW{okb@MXUwZ65wgqho4
znA6l^9#OPlyF&dfa!HYeE4ZKN8<clJt5diVaB+)QaZeClUV`}HDCY0E`2p9zge<(9
zQbVN+%(OH%W)N2c#(V6i%*Ot#@6`2)C!)CcBY<dYh{3Hd0zn$LD1)-P#>S)|5Xk=J
z*_)M(jgKtc+|11WV1};KQ^T4(NE9SsR9T7Qs1;^j6_wCM0siw}w5kNzzd-VhKKFRw
zcmsKpYYibfS(NXQ(}s!!sUF`%_#3F@f5!s?L<R}<xzJZ!kK&1qff7u3X(FDdDBxuG
zrOeilMHY3&3VSS^6<4}KV>jURbF@yt3bQzd$}LJ>oFsG#%aoql<wy~7w@C|NgbN+I
z793xDfBdP72#;%UNk|Uuq<?f)N0ER;B8}5+o;944iX#>0&FmyPqM)ZYvConQp9Qn}
z3_1eZoAOVT_F<-t4fya41QQDrWoW<Xw7<3Zy<w^g*<a_q$EAJ7<&0^C`AI2=7s2Si
zLF)er?Jn4IQ{0Y-L$ooWl81^cfhr%ZPZp_t#tZIx0W@bJVtCb8lVjlvVZ8izw$?^Z
zq>w~b8P}SN4I(ro_U`5vmef8Y2Z7z36LOq#5q;K!vBp+bo=+>{dNMOJVf|@AXl8;u
z{X}G!ySr3!+59$}OivNy7MWATUFUOi*m+qDe5LXn|1NNV=6lh;GC7+=j_H3S*49Mv
z0nzqh;=4=KCx*4co8EQ(2tzkVB!SyY*bF3|6;5dZ@x|;Owz-vL3!8s>OaaK;XUqu=
zYp4ZYK2GfycpV`g`WRnPng|qYbayhzH`&>4$gLlqTgUKxKG?ZD!mRAyI@K33KU-|p
z)w8(5B%T>AWjwqW9+4w>k=eLiUobZ?Uu!y&Ho|i#m<d#_vF+sV7<dq3k-~2b{zA}7
z5L2ZKdNknm=ShP+2Kud&6FRVcGuBHBPnaurfW-xmBzItm#n1JyoT(q--~}sf8$4?^
zx=lCtc<j{jHTuO%$`K?zASi59v)&K#*T>&a*`(fgCk8+H;BRpBD9u~no9}$=Oc3@K
znCa2@2Le=(g04MDZ%Fv%)6vic77AMcvUob3IO8R;uhC;^D4sje>PJp)@Pd9z-7dII
zQtEXIb0U1CWe1s|J-`!3i}BG)8}`#k4GfsiGdN5017I~9F%i5c;MZhJq~LS3cks~2
z1nDu-OH2f94-5$GGWk0EYS<q)-ljO5J!AX0t%JS=@?Ww~<<wBz2EVC~{V9J#18GI9
z!2h<)S?A^><YKg6F*RtRToi=0US03dbWI!B?Yx%0>>CZ_&7SSeot(|zQo$Be&~Lur
z+!WY#7&;j^x<j80p-tSeF72*+qn^(9c_PxAi&1AAoi>^ilqA(Hxa37YihNebeF(;I
zo<B_j5oQ%TtP9ZYoIc+&`>><+?w}81XG?)wf!H}Hsm)0?+a^JT2#)lpB2z|QS$RRh
zJ_AzwbzF_J#_<&gc-u3|?IRJ}U0nFcNyIO+(Y$nm6SFHj#&CG$p^*5?=A3R@&QyFa
z(3@8ke~S%IfS_tZm+%z)x)lZS=ioKngWehq<vu1&1e`<1Gq$`W%F*8-(~3-rM`1J>
z0x6}~uc)fOH&Yz9OgF1grk$Letf*6lU2L3fvYdWiS-1nCwQzmT=6asn9xPjI<s_%o
zaH+_r1Lf_7zhnkKLdpmFaqXlXoO1_J@lR+W$1VmxpJ`^~<#MuBg~=ZyZD@FsuJA8M
z7OnmiE_NLI;;9Um>a?mgyIMd!F%;28ff}cs$Lm;~oKwdDdCC*mGXdHc_s)SqwR=xT
zaer!XMqq}vacd2vD{mI8*VQS}9Ws|v9%4*wo^yTbmH_mlEC99gOAs;+(9~+Im{hT6
zHjfyG(n?r_F5=n~4;{hM=aEH=Sw7MvbhUny12d#l9a^D|PP0^eIHBnzOAVC!iA!P)
za#&%}K1AYNh&hLpCSCPF48C(Pc}q{s<A{E@hiX!O@m+|&^Nm|obym)3B?FvxQB2So
z>9>xIhs{gw7aJE8))zGts@9bO;QuR3R)q$3Jon{a-KMq$S;L#&tPi#YQ~U$kR2T#a
zofK_b!&qSTK0RW>AVhY|_5_LZ^z2}Z<UeHnS_7%Q!@Q0|OOyxa%#PNSi8`!~Bhv>p
zBbM9o##@W>1C95$i37<yDNPCa(OZ@*&R<g&53e^yF6y7~ihXHJ)n^%;rL>|)_q`6h
z^?veM9ch=xT*drSpY`aS`KcU}W;%Se{}{WdpEWvUTsF&H>yhoH7k#6(H8{v;+t{RY
zcfE0L_vOWG-$QBTd}C|TOnYX*oItx-FVpqPyx;DaWp?X9ZC3rcfwxsteCB8G0Bsd_
zYs0FJz+Qct-LEST)4|vzI~l%n%?a^E9laK>#Uc}QUjp@+B?c?0pNpmht6jw{an3yZ
zx57WP=g#U|zNvmY@>b&Sx7%i`8|EGmKqxS4>8T(L)&4xbqyhC{g!q(Lb&EwE0k~k|
zkyU!VACT;;`>tu`oVjIOt(JBE_?ymsNJVdEsm`PM&q%MgUbC+=U;0y%ns@9XrE|Ks
zW~Kz7`r+WWK9AK5)r`HH=Pf*B5U>NjrCd!sZ!C>=3-JD*0y274nU1B8RcD5=FH8?r
z9yaWYOLjg!6CPD}*(%xYkCq2XjtN6d%m<5o9#uO_Lk()Py3g}V?6VVU^T}jS8uRyw
z{As-h&9ZJk4;J0>F4D0xS_7R#T006=5MpUpIHtPD@g<?E_~%{b`6SKIQ}qZWC@Aw;
z5;F|8K<z{3hbba7TSKFGy5*{J*Zsv^kA)1If?b$BAE`qhaCVOutZ`ehwK{0)1hBPx
zP{P3*#<pK>@o%Xy`_R_pnqpx<X}#)&H6wN0v3Hv1(puip*0nLyTf_HtPEYmhzgAlB
ztHxoW7-AYbVI)R1IX$vPm~aArRU*`{37_4c#ASQ?P2IVZ3A_*=4pXl2Kd}R}u7Njh
zM+Y&@?k&K=ySLreJebpZAZyKc^qT!?d{ucqy0!Ro^s3(Y=S}&uj^3z8@4y8x5xe03
zxT@8wexm*4?yRlmyJG!3y*2yr$m*PKYSPS|)~j~1+PBl2<h|rmHA49z#Y=v`n1Ex}
zY#C3pT-}VccV@6kZIQe+|J*mQC&uR9xVBfvu6kj3o1xs5#d~4EePHyidQnv#4S{jn
zuM{RBt`i6~Iim@xl!8v*+N{#a5GG2;DlYvIHAOS1Wt!gvUCEMUXO;P2dDDMqippTB
zNH=&lxOiH91<Y92q~Q9lXkX+$9VG4T?S;PhWT~jd(m-kp36}A>b5hRgQzr#L<0pA@
z-`K#Y(lshV51sf{mM5G%0g17lN&}A{3}!ag?1Fh)6Xn@q&sH;!dIa=aVk^1sospu}
zfwZjlZ=<;@Cj}))ecLj~S;N19rffz;aGU4uIEhO>fN2n)N~%ogHFBQVV8toyRIH56
zy-KM}$mw|F2=1LaUcUjQ_pH>P?Qdf{+<^}<jo6h->rc`jQ8L_<BIFr6GYyGZB8g#}
z)3Y+gZ7N~HX>Fd0DCok<ZD0~E2m8b42KZ~vT*c<%CAw0&t%+i@$q`b+cj7-`F^c7K
z9@ZLv?5|V8u|HDrD>0IYSHlt0vcQO^N#*+~n0IsbG3rD?j}YV|0lG7?U0DsWUR94r
zCJZq>Cpb)WHOOp2=B<yxC`VDm*2eXWk7Xq$w2>ImkNgsIv)4dN2H3}@9GtXzdkGyT
z7Np-aJH8OlrZ3&>H}~@6G*Md=+&$5NYPVf}{Bb6d1W)JS>Z{PeA<Wa5lpQ7#3U0>|
zIlT#rLQxXt4cS7FO8A6C0YQ7$JvsLnPj7Wcn<(XuQ`K^$HRzsiBaD$QFf;H#-a9B@
zH|t)LB>{K%Hp(?OTB(pWVbjd;XTNn`gP!i{#&!8fUD~MGgDZHo&!yJ2b*e^<XV`n&
zBX6Th&xea5a;SU@u&4j&*?d1kbCYlUP`pA}b0yWA9n`JI*Anj|MIeQji7@mi3_?(>
z<4)V*UBC{RbqIqNfo*N(mwYG|dt6JjB1_)5-R`HKy5&<D>lfLbX5-a-cixTmgKxWm
z(AA6Op{}az{Gv?tMC)N-u(alh)l_Y^>QBscHu;MdP)3#eM<)n00nIdWRMYH2gW{*!
zpUaD?qvDHC`Cb#RAFrOJvZ}{vdo6YB`RTi0v96<RnYBab!D(LibfB3$<-KkS*XUL}
zgW3DWciTF9(&KP0ls?_YRh@8~xzz<>orcbi4w7yx+ne4)5!G&uy|dQA<MwhL;DE)p
z99OVP>gO+vb45_C+C+*O>#b}flbueMk0xBfX<`U1YF6#2t(bD#uH#0MGZS=)3(0?G
zQ)krgpDb#Yy**T%wrbf|-sURZzZh=NHpz`WLDKRuwDUV7&v+7c$o-@kq&=b}SQ5RS
zDOa>#h(CD7{VmZF;5Dm>k;xxmCBhq@A6iLdLr>l{YXwvf0`||-J(FKGRmH^kZ3{B-
zh8xGd4xH_I_BG0%hw&Gswew49JL;@2SB#r$ZGO-lOw;sUTP<5%$=s6^e`}HWAt28p
z-XRA6q9H|#gdx@Bp)fQGCZr82L(w~rU2UQ=r6Vg{f`f(h4<)NatcdFZ(xw#9q|(j{
z)6O-qeHHJdTaM(+9>|Kapm!3T29^2|%o`u_ua3N-H~%DtQVWmuC#u}(=<C}(HpcbK
zl(#kuggi6^pKnniuWc?Qay8c0&eU&zIbIyi`{TP{J7Skhl)MV>_|$(Aa(?2o7yX!@
zw5VFwiDXU`aI$%%(uaAPJ*wN@@$_yA_R;Oijqp!yjXlp61Y180XaTO6=*o(_9<C3c
z3j8JwYU{=nh<F?Ee|zItWHGw6kofQoz&JL1B##Bi(r!r2jDzN!7j#1G&ep;2qBf7g
zGpx<#cd)^|>r5-ZsV3&@sTPb8PGULFWVJ)qs1%BnKW(^O(k=+=ir-25)D1q;=-9oV
zjfY*UX@YqXsST4aNVpwWKx_qMqF%JIU)n=PK@qzM3sE^Pc7RizLUiad74CC)k4{-)
zgF9DgYchkt8UFTy78cAmt+@AMaSgXln<vjvSn5#7(;fUSZwWjwv_&9jrwD}N2f+9C
zan$w+E?ydDUg2fF6nrIcyljxnH~k_^?oJZN{#$j~ckFk{>LoCk{<1_wH-sG$1HbQi
zT+yekxvi!XyC6&Bw0`%waMf?iW}~zTyF|yv8oRk+H#axKHqZnTXKzW|eHTG26;zu0
z^m}<~%H&bQ_jJwQK__6Ye>m?eYHodAUgs^7Y4ZGW4GxiA<H7VjhW`}`N`PDoE4h?`
zgp+48v&SdYIV9-K(6ph&bG1+%PhbiuO=`e@n{=XoH=@q~^Mu6fTJ!<A0PFN@jZ<8r
zz~0jc2`i*vY+NO_EKaZUV7;)nCCtxjbszs$Oy|q!2yiV*;;J9>%dZq``wh1ZoP78}
z@ti*o7j<zX1@Cj`OkI<{bX1ebnJCpW`4V*Y`>3h=&F+ZV)D!T#8Z_^_UZxK1*XVH9
zPkA0)($=n9_k~*_SYGxz?&=S%vD;9AT^5v~X~ROgXXoH!t2UjQ@}hq(3>0tK?g#w3
zr3jn}Hn0;2d>n$>-06wS_Ih&=Xw}5v+QG#p-S5h<#3!*<WcR~pP`f6~qW2mJa(i*(
z{D}tqCQ)F4hi)oag$J@jOqzO!$@R~ustnp-ERJI4yKx$MUlY2QqAg5CcQpE!K3NzC
zz}(!!!^0lP0C@HM2eQRj;MM^!P6%#IfyxA*BRgX-CoDiDY=cI<Y;ES3Hm3s^I(MAv
z{^22-nK=x|Ar^1R#1*{|j<1o^;0gXc(})XkS7)l{`5Ukh_#AY3;X-OK;;=1S;x%Js
z*Qhvi&mJInw?uh2Y<1ya+Np=7cWBkCKSH}^u7W5(!mysr-{_we0>^#O84_?S<;+`V
zyX<R^!dM=E&Na5=YOgSsbqou+?Mz`8CB<Ccezj;MR@Dks#@-{l?(1F>R6g|lhOVXj
z`^u~|;VP{-*p-ps1!J~gw+8MWM_Kh7g=NOz&Z*AD0UW1DhCwlN%~#QPjxEy52d9)F
z@%wx(kM8CuC-x083AdqvGPmzi05Un$Vz&X^W@X$+F2kX)-B@^;Um^&jfGAvge&XfF
zz~u=y+}AgC9M^4XtM7SJ#9dC|m9TtbzBnSz2W$7~>idzV_|Z+outF`a&)c<+I|N`~
z+%tNW%2qT05&>&c$StQV>qrB!L=xakJ!Dm(wCX=m2LMZ3Z=)HHQyBDnJWra<Z)@L4
z(eAIvq|oE^KC)(Udt6fKxo=^9adyT5a!_J}v7c9NTFj#wivofr`F$Sizte-dE7L^9
z9y<^i3=9n+prD{`pKn_2KH(~f`$%R2?*Byb!3ONU25F{sR&-a=C7Uo+x;C>Of8mcg
zD#&eo^AUF*wnE!#zHjoVjHry|vKJRx2QAxLj|W(>#u3nGu_LR(FI}`N%|3)j&ZziS
zR(^wJ9Qao21rG$o3O<=>7i)QWe}2Fn;zMrDu85BsO?&~yMS9lH%vw*n8lRpxPJsd3
zoaJQa3z_8d&^cMzs8`HjBH_k!2c}M1HAz<Zde5fV7cr#C<U-_7D>)p!Zalslm(9F_
zK1nav@EeyOM~R9Y;noxLyw}J}&d${Sqm;>&Uq|wKY&t8$5cDnIuhobX28>8_xfEAF
z>k|57w%z5lxltInwvD^PgY>b>(Dj8}Zed@M4gt6K-DynuWzB;-Z}G7~PSxco-3Qr%
zvH$Y>ts!4wz8^0g^$1K}H^;ih+L8dOkBsNPCwgS1^(pLqu!aOamt$8&45#li@9}D@
z9ZJ8E(Af~n=-Rw_HXE<S0A`|6L3#OTSOv8nn}~==h<*xHl$fd)5a$pk+|V>c(IZy%
z?`M??uUXovsjGe`#Pp9KA&Pa(B=ZkO^f|JiEQ=k^@wI^TZQ_5E-TS_EF<eCU+!2_V
zzs?g%5FivGIPSHhO@C!68b{68Qwkr$ksMQ*B`Vho_(BmzJ^Sv$@deH<v_z}0`(G<C
z5Ei(vIWh7hhIgIkxL8d$E<czMV1YHl);<wicoltr-#x4W`*cRjpXYjJSD=h7vt9WK
z`QH417ml;E2V6;G*wk=FwD7nJzU~}%L0kjx@&|vZMt!Fz-|!sSb_=zA$0t~RU=*<r
zzDLr?xC}AFiTw4sIC{9fsNpa3Yz`7ql`9cGp2!6)7Y%d(r>G03NfQ~@d#<U68OK{t
z{v)mhm<({gLUbBRa0R&}AV<yQnm)a=O^>r~toLHSp})j=3=W3b75wWi>whF9i1}qP
zFmFbQ3tH_`u|m=R+RF|vq!8<@HIAx9CKjB1UN_KR>oEoM1UH^6Oc<bIt8@A3btc#d
zhkawF5=an{C8%A2w|e+g?%=)8%a4Ee{@j>rh>l@xDNrBWG3QAZ{&4zfL&mN6ijMUy
z_eUZ&^O=Fm?~m3JyYfpOtO350cs<=|&_3rxA%rXy%aHxx)#$D>e#{>4%e)t*D#BF@
zgf%X-o{Z<<n^OCqG=am{*}(>Be&tO}R#&ra?%+X5GD{Iu{Q&P%SE{JqIO(3amTQT*
zbmUIwO;gU;)_2;ngV!8VR)1&SYktHEHM9kBf7%VkG}xI767;9Kx02E1sVO<WP=r6`
zH+ks%52#0?fK+?d1GK;GKP7lh$D0kkJdEE!B|6=1)I3<kK%Y&lBh7UWCY+|;^u9&^
zc=T%Efe#Hm6l!Ek9c22h(F(;r80XE1gsQ^_@f29gEyh^?;6-e`KY<!%s0hXGm*O#b
zE32Y*8z51>BwvJ1S<?#Iny6*<gLiEw72j8E3U?gQoQioD(|ZWFC$N8%aH>;v47)$M
zO~K%`Lb2MQK|rzGshKFW31T$Np!XFr!{K|spGgxk>9Hl{@OXQ-2Z4beNtLf`f6b3z
zB}-HKO!bRKrMp?Gi|wDZR#?c|R?`wQ+N^wD7T^3-?9wD(X9AY;2A^-tX7h!bktb(E
zLs6(y@?rmyVGq15E&Dlt==fR{AJWVd@XfXh2|liLYwN8{#J%;9|CWx7#Jn&mO-$5o
zN51W^<9oh67J_c)a@1sa^(Ujr_E)NW0b?sluRX0lcPm~Yclx@^X+v|9*-xF05JNr-
z98;vPC;At^*fODz7ceV4pN37C#UDZLP|7P^OCx00s0o1Y+hv_1-BQeq0wtiQP;MXt
z?_nn^$<(u6NqDhd8{77-JKrnr*aUQLv#xA@EwoBf!j`cT+oTrSUns&oHXHk+2U~7+
z#S;(quQWm8qVFV&W*Nfz!6pXC-?)rLR3A?jbH>f`4(@j<;l8$@M0%mSeM}N*sfDUB
zZ$*^1A}q&!?zQ^fR_Bf&Q`INGB5vpsbUGosa1=P*eV`I%gu^Ixzope7^kNGS;f|o&
z;wmfjedWd$o`1OMJser0ROg=HF`o|oEc?{$95p;IiQHpri57X~{MGQY--@*l*XZO|
zro}?5e@M@-wD%%g=uazk?7N-WnS231+#qL*$ztew&f0$w<J(wu9bD4J-11Jp54x6n
zU9bMCa9<M}>C+c0vMq9y>RG(PgbwiguvqH(pO_Nn@x6Vl?4xTj5I^>IN0_JUF*QY~
zt2X2jn(}kpiN9?o`y+|Q;daQ0<3K9P04B4m@)eK<a@)FdDO%VQH<<ttsmJN(MC2o~
zWHuWD|6I|UDu>DoLn~#5CG(dkGRESl$W}p@HDwGmAB;(y&Fz9Ug9@J6%GovEOMF`T
z)ou9#^1mA+XB(VKb3#3CuUb;qG-t^}p*%nX6fjn`p;IMysEOWvJ{VP|37=O*WdTe%
z{o41jKR|3a$zW$|wqb;Wfry0d3c{lrL(<V_5pivucK~rp=iS#Ud@JILL}~E!PL-yO
z{elkMACgn<N0me7kSIP;o(Q7V`cngbCM)O$nXO`yACBth<_MZ|bS|V7%lr2(_f<m&
z^a&}%h0!I3JWbVkVUlg!Xnit>CO3Cq&~|_*fS5%!A5_jF!R><h{ERykhr-2%?1L1~
zSPkoU!HBDyhWNyIt5j9@q$-G>Qjks#AqLKW6io#0mv&{TBSPyl%~DM9OP59_d^*bf
zkFGDoDr9Wb$<OE^$_u^2+H9%9lgNDFUY_RxndnQDDqF3J6!<g#^wT&cdH78)r>YZ8
zoiJJoIt2a7S_I_L!YPKWLxWUqeJGiOx%c}=viM(Ud#~vO@BlAa9U_;ICPa{23anJP
zS&3`h${Dx|PuO!oSDwe>h&^wFYdl!T6ki{J{bX7G$tO$(op8L>4Z<g(uVw`{x#aOt
z^D|x1=i1!Z_M?`G?cTvFe&Z~xTuzyT@E>20T8RxGJHK-lVDFBIkTeYMFrJ5D2D3Jv
z)0NMWSN}jyk_2NzjbTN*iJ<xEZ7!+lV_zqe+7tSIxbCqf$_8wJFyI|LFnYJ+8m<U_
zy9(sdi4FBxAxx(%5c?1p;Cso?O?Ci8k%X>k{tnMp-$o%c_2%WS6+#!A|0a0@H5CIo
z2%!l1?zH2(OOuN=#)ga+UD|WkjxC>{t1(^6(<AC_ac*L|QB4&$m3r{?tGCQEhCiC_
zeg*eB<Kt>zNXeWHpyAnMg~d7suRO9XWj4pi$PkjmOBv8J1$we@jN@BNpnFH-Js}!U
zfM75sC$!QQkG$Hj@^dwmWCJrrD{jZ31U8;w(7L-tL3seDlqkLMTRj}sP3zJw+f=VO
z@l(}DXj&t_c9<2Sj7ws6mG19m3-UUm03GmdUW$IB`n%+BJ%0WQMVl3`u=Jz`diH6Y
z;lGNWHUc5Q2FlZfh<y_AU-|v=E5EG~b^4zDKm4}EkI=QbWbBJ%CINA+{L~>IT=1A1
znhg1vFpW<?pmp|Y9VlX5;>{<Ku`5p25amc4H6yto_z%#86JAXrT2lr&G?(Levr&#|
zI{|LfOOiY2k|xHITYxWxFT_dgBjqPbqw1gbd0GBPye@?Oivzs&EUIn7phyK(Jvhrt
z?lnr8!~Aa1pq6eiTXVOH)FETP_9L`A60b*sB8Nr91WgaRYfLlUSOv~G?bxqf!4lF&
z=x7k>{b2icT$_;QmOK+N#Xbj0Z$5Ys2B=U`Cu@UDdhs3FfEwBWvm~0N8fG^|+#fvz
zfLvT29C7@U46^anO0GVEv`KbHDZwq>Z|ZZ_>mtvFXQ!)v59pzq-V=Ss)D|}2ku<7;
zaPd%N7c2J3)dz3If4rxoU~J9k+5|JxQQ}*m`x+VI0NNrN;F{8u4qM`ibh1i?0t%bY
zWqc|avtwGhD~r<I_HXx_hRL1|FKI>$KeEM&(jzrSQ!AsDiT!Cq(A4qRr3eC#jQmt;
z+%q9sG)x(;$Z=~}iCpnZ401uurZq>^9xwtF@`F`UI;o!w0=g>G2R2}1JE>YP=$3!|
zw7l5SO(6qSsK3FQm=%Vc16i_KQ@w7)6v=Vvf8=uAlGQMrRB-f#Y&VgnyB#!w8Ly$$
zaP!0Ld`wDOgMf!ZpvSX06nH2A2THwG>T2)5)6u_N4FzYoKH2iwy|%p(3a>j0ET7tp
zj;T%j=h!>W&ro_9d$vM-gMz#v3zp_m(IrsoJo$j4QZ-62d?>Qs%HhwMST!^cV@d|Q
zO3%D7Jo5I*#`cuy9Cn|rTV*zxBOcOhhOk8aY(;4iE2Gan#>0ndQG?Gpzcpw-E;PI7
zWJnpNUZZCZlbwy<GV|+58pl6(^Or<>il}t&SHGx;m>Lp^AT&pGm(PK(S&A~>&U{1K
z>^(`K$`an*K8bI>;Mpu}6;E;?DBG}W!!25Gz&I_0)IoS<#7_e<Cx_|x#eWTF{+%UX
zb3+y+iORNx+GXr@o?h~{$cQm9Yc6G{c4t=NWLVn;4SpAxzP{J^`~X~#lK{s{a)Gac
zz%k~j@fZqKhQb`onnF0~0p`;Ih`!f{rk%;)Pm@+|%^T^Qlc&rAp7R>S--a)X_?<>w
z%7?39q_A6;_j^;mJt4NFbdTb69ZLkt)bl5`9qPaftc5#yG2W^#3*krBN1LUZZgq~-
zO>vrHK7QnrL=mfeIILUq*tXfEJRx=7n{89&c!~&(YxWKHo3IV2#VAYEr%=?<o;gvv
z`~Bh1-@Jl0|GyfGbp_z=^5a)ifBp^V3dRkNtI7bQS$@0<YU^W{1=-Y7&OHg7d?U`}
zPb@j(%=*#82FcG|EY(@NRwZI0b9T4d@H{!t{^1MlI>6s)$G>SFJ6Ntx*C>B65+H8h
z>oRNGffJnS4h0NB?Kd&&tqDX7d7Ipj2NA6~(o>Cc#uQ=W(uq;i16OeZhPBc{?U`Ni
z5MDT`P+cbT>St^uSdzNG<h7Yl#PXccf`Pnnshu-FHH^GU#O;Qo?`-kVojiRPFMj}K
zgdP!%MSqQ9p?7HKd+nkuy>3Mf$quaK!uV_)A>tN4VQZuYOIu}AolR#W%qymg6aq4Q
zlc`zg>$W46#&9T(P0zB<MnjJ8WM^58h*?WS!1EpzzdgqVm<g<KS=Ve|y}Bv<B}kK2
zpp#WrFNiF@i;d*?y+oj`(E*3qO^Eafe0MAkv_>Sw3K3nl_d3U3@>htSs6geo0T<y%
zu^*`>)Z=^O*}#%yX#u*MF?CN!AN9D<$Ucy=<PI8{?#V{;_=yo2`%uG7h?X7cbgv<Q
z5KWwk&!(r2-j19N-oC*zYAYBwq1z=(U~sf<SG_6Y<62%nnGZXt*W{1io9W*7h#r&|
zzGVum=LFR!0mF%1Tci>OF!nyN3jsAD=1c;NVY=V!j=KODF%3^3NBvCfm<C()H=B-p
zJQE>NoC1C2g)}II)FZAoiHu(|ubJbagzRhuKZS3W8u$)Nari~BAEmr<LOkW2)uh0D
zZ1`_~Gx3O_A*4DB3FPu4m&Fscuwsd@BpIV$eylw|t}QI?smNqJR=?7_64djYumto=
zhhrxmy*E%&I!Fo2`+{@2fi1fqd1o)lrzT@aWR>i>R1FLoIgQd9Fkybf+>uQGagk3e
z(ZKG`%(VF7lDK;n4}FZpeFn_#Tjtl;c*9eQXh$fWQa3zO+iydP841EnD?g2b&9avj
zNC$8HS)I(awPN;<ZS11SKyhjc;D!D7?JHm4%JS^mR=mE7+Cy}2L8^93QAh3ccNH2s
zCk3qfBNGr1H(ktj9}}0F`{2KNkR#zN>wkoH2_!2U;$cq`Rv7)SMKw?c+xSJ=>aRBW
zto5Dfo|ml(74yIC#i}2#FC7tc?ny1pDuwQNXc5m~{KKyV?B}BVR&nxwh@!~)vrpaQ
zN<l|rRl?L2mIGN1^x-qBXF^MG`_03<Ke@t1*eFr1rf}S|bRMp^>?eG3!~G9UxVrqD
z6-z>NtMhK($yZjS_WU^GJf85#4WGdnovmN50lb`>XZxzWe{piMNfGgAPeF;M8~n5h
z?w0X<m(ZT3O~{hE%sDYT`aN}+sFhKSxuF-%&-{mKaQ8YlCy}K*aJ*j=Bn5<?{scZp
zP5%=Y9kN5_I-sehLKl1P+!^<6pWpUI-k?bRVB+NpCG_@ya=BN6SF~osRBT+f;A{PR
zohPop(MR47J2Tu`GEGa@m<kLLyuX2ik~bnP$db<?*4>d)?<N;@?)b+H1L=O5h(Eex
ze}FJ|eXj6wd&@weuqExC5n3C;M$~*R%*)~$i69J<k~^ZJCU2*Kt0QA?6N94jAz2#j
z)~1#Ji`4=ZWC&t<YJ<1^2lwtal*?i{{U<Dp?YD6)O@5bmzCpk4pqF0lG1AIASLT%O
zbCaERZ%)PIXS`k^1Y}eNd9XL91z@Iy{PtJGw^A2$Ro2vpQX1feQP@)W^u|ONbjQ(;
z7e7(Z={+#sO2WqiQ6{@nys%gsDjf~ugMu#nDU*H5!Ka^7vityL7B2)5Uz0K1AxC34
z8VY%~VVW{|LopdrW8Q9bM%&&(Iq7bR7%yI@s5OSno)~OHdRO4xL#h^mNJ*TiA7J3Z
z{?4HGLQ2cR>#aQ<GNcGS4L6jWSGwqF8ZOq+7rJ_>0Jji`BM{C|neWGF&kM^>@tnzz
zXwajy`q3t5Glvv2*a8qTAd1LkDTD|{Ye4lMy5je%Ad%J!bjJl`x@3qE*L0Ptd0<Ky
zycZ=*W`RG*E|CC)b|pSxH(qb2ZH-2e<NvxB{JZ%9`X3>|K15W`n(2@;yA>}`WH`q2
zjVpse41YJ_l9%7cQMB6?09cVlvHh!|w#J8`32zbiO|Q)O>;<7)<qZd9eq~k|^Roqh
z@AkYk0cVe`@deE;zDy`=6BK*HvPWi$(n<-_^JIPs;8?3z{}N4W+q85jqRnUv-QelU
z?GFQ6`_M0mFMt!aZjlFYq9~!uI|Jww29&b&iA$(gHU%{U+3X#KW?A}NGex;otfu1d
z{sb?be#qy#7DMYTL${kK$$eLmSYHUA#*Z0sOHny<_<G-OPywmR3Sk~YwL(&tzMrV8
z3JTBxs-sx*O=klwELgx_MBoq-lBbx=XYRww)?yJZf}2j?COqKo8P<)a@u}eM8>=J+
zM-Ka%GRYdT!CP~Yq^`H-r8ipgH-NIj2BSL&h(97OiAaAuvOxNhLq7J7@F@~~57MX@
z1Ef3&7^P#EjO*~r2)JSK`N<&f44qrewmf+*tI=qAAvMkHc5-Mv7C9}%uepi@P=f(~
zx}IWM`iXD3{#iYWDM!RYI<h8bwKU<gI21oQ;H>KXAIp>c4-4Y6y;6jZb`^P9qK2Yx
z;_({a$`Ft8UVbcStrY4XoLt5<J?B<E`0gDB2v=^_b5u1G0gHT7sFLM><^F#eq5!uj
zRhpUODO{gtL1=;`a4(n>wztsXcmzd{YbxYEj?j?d9YXWRWyI=l|G0++5`mh3b?ytw
zRG>qs&%tSNRL|MvI2j%SX(c_U^SckJ@*}x3i+)*sO!(yjBEk(-BoRhVsff8L`tYa;
zt-q`9KIkl3W*W8&Fi&Rgk=+-f-7?kfNa40h3T({y1>R-AT3XNK9Ym8T<j&Z{Q*g$%
zAVo63ON<WoMXw6k<`T~P%aBD9=A`O~G9?D&U9gtM!!D=>v3o!c7rwf9v}H*M0yZCa
z#1pXp!nCh13W*4QRgPYN)8dtjw{sF};K&p*KQH#U`AAp4EAtp_e!u3*qpIjNMvwSc
z@@@?UxxK+T=E*7P3$8$|pjYox63XZ-+z{yfa?TIxEyQNA#aUk8c;pqwi?EBMvZWlS
zy+*J7Kp90?bFMg4EkaD$GKnLa?6vLMppz}To)^r@55}#dy^T~8crKs`Dz7;+BndZF
z-qg~YWq+gbLp7C3)1dss?^oG-x9y*ONUMVPU<L~w2oFqoQl}l>bLE@$U2dqI@H$CQ
zb`YJ4yojZ?Wlq%Rp+6-U)JMrc1y-R0oE9sQL)8EcEpVR|6Q^x+|8aH!UYPe&HFTme
z;xGh@CsiyNabvg1HAR@?G#w|tMNiGp56H}Z_;#Rxewk2Wz~79;rucKe251bgPLKCS
zR1=rGKIaU#xwxbUnmAxA$CGj{o`P__G9`DE5luK^eoT=BE)M7UUV}og-dfzC<nf95
z>9qj^HKpvbGS@}{ybInPkF?__BpNMCp)(NFV)Oi(P?xP(0-%K5qBU#C%6;F>n$+#i
zPS-}{#!rw!Mwe8*+QLk2$#I54bpKvk@?OhLS3|_PLP<4B7zq&1qIK03Q;dv-7(v`w
zQb%rFAo@w10P)2ak+62H#MYNuFQxuKO)iCqI4+?AeiB8+`YV(F9by2Lge>%s_NTf|
z{~gaoMn<O4o8wqxLq`zdDo&3RUtk!cUnX?JPeidw4u=V~zZDJ;Pxl!&gf;ePc;xkt
zqjCksQGT*|TaG$qOTr%TbFwvfcCS;0?gf5c7<QDcSqQDxQ4MPQCScM`2pO~cH?Mp-
z_&NuH0IgSm5HjJ6cI5vt^_5{&Zqe3)G)Sj(ZyH2Ox;v%2yK@UjiU^yK?k=Uf8#WyR
z(nzOtH+(PW+<U+C7oK-Ld)1h8jy30)k-aBtrf*ja<u>e)g)>Vovx5T<^_i`(p^Jg@
zK$)MKJ!SZzL;vbf!JhbmB;BN3HTW%bOVZrw2_^){M-P*1M1h|pZW+XiGxoeUacM+{
zlUR^_;qF*p>iRJHKPL44tL#%uQ=Z$kWMu&8!~f&iI|6+)m~O&`My2(Tku8%3H`&RR
zsm3f=GoU$NLEdle)N9m3W*2k~fF4%5KX%*YC{#uPlItcVaL+gDRjM`11pWcHdXN0P
z4lW9Mv25GLb4Fn*FFL<Qo=1COsOX_YiJrH$)nrqN-OBQ~DXr)-!KgZ(bOtvKh}191
zc3qtckso8(Xk?vpL8Z4EzGtd2?3U))PaaPTJLz@pS#eZIZv~*#BHfSN7}bWZr^p#T
z4~J3(&)B#zz^0hPE+~<3`g)Uq4lT>nF5s^j5smEKkTP=U=PN)B{@%W`xUvbDZnx+(
z>;KrKe*#t@M=~A>aaG&y_0!)i9PMw=)3lPuMgf5^Hy*@^X>CaP9lPx2<bJQR4;jlp
zz!5-2Aq7K=KP{)mzFr>EFcZp-*H;!urk`?0I9n*x)A=B%pK(Jn?~AYjq23KAk!tH8
zI?Qnt|D?}A65<tqj6_dPm05hcy5f2t@|LH3yukUBkm8mbc5oc>L;7YFTzw07oCMEw
ze+CQz0d^mAkxeiXraffJjQK=z^$gCML$rV$k;3hmbCdq7HGkE&rOf~nWz~_bA2i#q
zmv!&n{!c9``HQ~!=l9x{A2np{sdD!JhyZj>OJH;6N1zn5$`G+7va=i%HgAJP#Yf8h
z{wr)Ugx1;4m24Qzydimv&=2ZRNBO1o=+9T_@s6Gs-X|1h<}W#<Q&bJR0-?*YihBKL
z!J`D5AcT4VuSR`a$%Kyw($tG4L~_qsKCYkpC=n=nB6iXegyyGZ%!TG8o%^XMPWBu{
zb?L9y>by7GnDglzOEMd-3xsi<h?PK=<oP_9u$;wW&0?8*`;FS?^c{kT)+*DPnyJIj
zsdru)vJW8$=cp;qs3!JrcnA%9q4wdPIA%+OB7r~O2QNlCxAn$KdJ~1p*W*A13_xJP
zAGtTE-;TCO0Umca&y9Vdo><Nl2vyeV3TRIMjc8+g|Mlj80^k~$lJ4yz1X*VG)a!W7
z<+(+|0akI>o476)1%*+w%th%`+c!?8sv#+&$;FsYuUBY+c;$h%((V<BdF)&|;NZRC
z?E#AZ*KeP*+OE;6H{{0Ouk1gv9Dl}Bd4=-z1g_12d-|YIw~#jSJtu$aV^fts_x6s|
zi2X=MWaJxYudP@~MskAGWR(8<G>3Ub)L%g~t<oAfC|hk!*E5%vE5}Q6*{_0V6mIX(
zQxdKV`F1wr!bZ}Z{BHd`*mCRgQ9p$TR7t>0sKcV}ftrih*6)5>NKDpTAYG*(na|rK
zhCt<xM4FW52%v_t>RS6=YYcStK5aq)bQL(VD9}AHf?EVAa||~^n1hXI34uaH*i0vB
zp@?B$k=@XUier!2Fy29lt`1eBd%BtY$Y8vu3(hOV9QQUw^bW88d(ojp;WbGf<X&}v
zPVtOCt-t@ZnELjm)F+pn{atieM(mY9@s3iMz&gw@+Q&kC+HAP^0BjXlIT2(~pofx(
zBZJp_^|kqOPv1$wFPyW8&fD7{zq?zD4ZVlWD12{oe5Z@cE4Peeg~LqXE8?ht6}*6z
zX@oB?jd{Pc6=b)D%i|QWV-s~J{A62oAKMVwY={}@Tl2V4!Le_(FsXV=%q&)s{%rTC
z#CgDA74(s=?EE9r6GssS&`7!a237#gwry<F^F{1LeNUPoiOHqHck|qqUAvCEw}@BY
z2Epo)n|Em6_&h{$vY8}g?SKZlesmqP_fy*Ou4S9o*^6xBU6;mwE_eRRw7@FBe1$<A
z28PHWnE#!rok%B5)p=u8MICwt`7%85bih%&$pdr|mk#X2HYE@B6w8aBF+R4A1D3=d
z9+r-abiB=!#ijP?lVkN8KJ$~k0i&)%H0pze;HMPB%q)M=#W0dg$0ydmL8El3V1}%O
zcVO+i02NmFTtdhzW~Wq{-zQn;<7jPR{+w9-(j<%E(;EjV;%8AGWJ7x-DhZBx?9`+y
zE#UPy5NcOmQ#d*&&r9q@`FV@lygXB6Mido=E>+Qpe-PyclP4?0YW5>;thjgC6GHw6
zd0@xtUbKkq`k!+2G+V+#rHYtXUjt>k+6dotq2gG8l16BEArlLAU|n@uqYn<OAy2V<
z(6_1klg$%c`%^gVR#}!y9~C22)7)?k`u4PizUOjJ9AbZR$KNb-L!LNZ$DDwCCMrrp
zk6G{fS7YKU^;QXv#@FzA=w?+g3R4xlshK@scfyaT8yD<R96vLn4ZC1|t{vHGZMJM#
zQ<R15*%@uPt*4-1psT${|40%=<C+|n&k;9b63>k*9>JWs%B#q>p>~JY0%EQ}>;iwD
zS6njF`U5*ExPRJ%Rcx&8@;Yv&?v;X}*0*sgo=-Tp@Vcra%9K1@LHh0p1BE8noG_U^
zP`TOHdp`Dy_*wa$IC>ASv=P%f@I7%Du`7Z}pR)~AVs1pk_RfZ7MI_g^@_%{=BEjH=
zk$*{KZNY|{36^1Qh*>Aq!8)T(8_tVv?@dv_pU@_umny6(V~$YLRkNPCOW=i_saL`a
zn@xPybTp7$uUNS^6;&m$6|>qR`yHA_D5#%3@K*XAk95U4l9F<32wT6uqd?%}7^d83
zy!hAWbWIsON7^o3+Hj^#jssjdsZ^(9@7T~MOB#cOpvd7}uP+#*Hc=XJ6*nFO;UC<&
zC3)Tu|J}3Ehi*X|z-8ng%6(#PqI!bEUNPJ)^x!$q)b|{{i8aE9_tqqM=dxK88q<6-
zJAi)e!a~P`cJ8gHnxb<!Lv}&Bm}B%MAiUR`q?8Mo@2oe5{r4*knq>-p+c?jUlIx1i
zW;~siKV@2BJSXXn*S#@;rtf}4Ew^t=dOv+0r12D_{^;zMI=&$$+X;Cq^|poAXn314
zo9c9XK8e^tUY+KtP>{~b1SR-^Z51Vl@^^U8<+zCzloF)|*K~@nHx{0*9%9VM5j8kR
z*hla+X0%9kt>SBs6n_x(vg2ohbPD|}svTyRHr1E?T^(k>Uj80OcUO>^c@<6FISr9&
z`j9Hg>!CJu)}3bR{?t-7k21@7Z2<O?2TWtv#b5bUqLml^IXU=*HCBv|>xvse03PYZ
zC)63SHeFDjd!%)a*JLYiNHwo3bD{=*as$@nEt8@#i-hSVjp1Hf@g>v$0fC$`5%R#B
zW(m*fc!ZSR@;8qgoOBBoo^(MQNsgTxo;itBRWwa{5aK(FCG|477X+z1Le{>*Qffg>
zczS!)fN+^(`9;9w4%%`89dJ?T?c>OLK<k+x2Ayk~0?maNl;M7<)=zyKEUAmxzU%6P
zy&x0n{NmvOLqKQ4@ACDjmjR{6=-tmhym5<<5yQ;vL*M|cJ{AREdewpI16$PI5~#)P
zB13F7N9-J>IQ${~kgcK`KcC@bTTu+@o>dL`uNvO4d+N!@|J4Fm8UY<Lq#9!+bam~T
z@~Ri=JbljPVuYb}7KXbxa1)MqC;DFm1c0rS8W#J<rt62wwsP#}jbZ7?$6o&jD19S0
zdsOS6C~=2NP!Vm&oSODi%Knf01-zFpI}2%46zsLw*H4!JQpdkOqzn8bE$(Fe!38HK
zpSb3fC~9Yyz0=%P!Lgw%7b4H1tIS+nnRwEQ{T)Az9j2mAD5)y(hlP37w_X=O1`X^E
zGj(p09zD7~-fVShT1PHy`(^`?#GLPwoDD(Kji!-SZc^G0rBB7frbT66tj5nbljytA
z-f8)XRjf0|o>R+YKIk>-l85e8Y4Nryh&Gkqyw}!zpI+8Rhg16x)N4iscw<+PEaH{u
z9MWl`m1+8t1N!ajLKJ&cOkx0wq6t@`dG`vyfIq!|{&=Wh;#1BkRhfAE!Ni2XnZ^)$
z7jCPPo|!nII=$DKS@?K%<hOr~NDp8w#+bsaHW?6}xIB|cF4d8Z%-hgnxre6wDo4IA
z&Xlsdd4;ox$6m#5%}j6llTeE4HDT0JudgkFV-cc>*U#V1&u@gfV<*EC+(wmK!ffww
z$t_J=cJ_4i`v=zGG&W?tamRaW2=m@Z9xI>(PoTw}Y^e_3lJy^EmT&4Y5f3}AlkrPX
zum#mOwe|&d>j0^E4s4TgjbCGWkv9vAVxkpbe)8shgHAPKdm350v`zDo9Zj6G2+JPQ
z)jv>HZoiu8b`+Cb=UO?$Sbo95^px@{UpRFdL!m_7sbDMsEW5yalf%l!g5kZ1H^e86
zfLs#?fwHNyFTR$K)atd5b9UYY7<c$h@v<fBGe=b_SFucMYHeLv!OI|W8(l&zq-5S0
zv)N6xuUQHfSMy(is9ejxOT8oRuiN{0V}Ed*vdOCGZ%Xg0)L|ony&9$wLdz?xU4l_x
zi_{vMUH*H6eFpo!#5aPlP-RfxmSHS8$7KR65Q-sfdIMhuvghkm4xE!WN%7{mcQ7-8
zrhVerz3fVTo+;pIm1%WH9hB=es>*Wany}5!&2%HuN&iMco+0k&2rDC{P+K*M11cXh
z6OCQd5j&s!dvQL5tr7#axV1f8Q38yElU2U__ZP?{ETw&c%-E+HM?J~)vbN{ho|y{i
znB?oULYeO7yEE(&4x%w(42A44zc|jHXmK>q30<A9#m>f1$JN=M_IZ@gz_3gQTbE6d
zfbX&3SA{+Gi9~_%t#$9y0{w~h;m4CESQ*P$Z5g$Q(R^pOrw{EUe1S2$iqz<k#skmB
zTRJ33F}HG~6zR|Mc6DR|iJZk?rzV05E<~3fBl3D^#!<+Jtt5TCt^D}?^rrGLBRRc?
z?A*BW`=8#MdX=~RlrXiM!WWe{<!=FFLf|Fc(VD`dQ+~0AE?Hx!X$j|$LMa?%LA^=8
zJGWymYIQZ^fGL;A>Mb@Cyf}o@aW{rOVnq!9fyiLY%G`z_Si@FtW5lP|c%dEqF8CW}
zK%0+`vz2k}P`ot?MjQE@wO(TLB3qt>0PMN<aHZG0_UiZDnQEN>^i&C5t^NpSNwc@=
zD=by?HO6G=Xs-KJT%RQ0c(5Q>D4{_sp=vXVL@8plp%e<_*_nlxy_k2^mEDvO>|_q(
zcEO~S@75^iazhul92USlgHzo)r#WE7vLe<QK*vjlGX`|syK1-ovN}><^qq8H)bRn~
z-E0)K@N~4;JGsC)R4X%rezG|MR~D_l6)|lq0R2zC1Bca5#<@B5f85@e+0ML%+1FIf
zE%SV@zF{QfkCf$svCcwQWoP(pgJ;JF^MaG=U==+c!S}6dE175Nl_=nPvB(9uKq0F6
zhXwp2ZY}zh5N5wXbrYn7F(oMiD;L{M@yrs`fp=Z=?WuXSo+mCkg%BJU=hMM#TA>PD
z85^nQx9e#PZ13T$W4fN47gjL(lKG~iJ^&s8pa>wEwS~6hk?`r4>bjIw7$QtKw7ML3
zniE3Oe&==i*TJiMx)HVfE9nWDEajhbc(o!wDD?J*;vM8-D>~xO7dy|0E8Ixu-=3YK
z<ECyW%w(ugHX{eoqJMCaEFQo`VNjJvWh=n71ZPx+v``4!Q)78sRDJ0&xl1@D1+mB(
z<Gu8+WE7d9Yme#lu1#yK>4`@JkMFrn%}#EKQT5AIOfaC0OMu>=AhcH@a21FyYvCug
zxEVawFCzmVdasD5HTVOhR{Fi>SjRTAJ>z9d(2r9dW2b2jcMYL8Jk*j!IMfQ5Uht>x
zL)yw0qxwDSrb`do<tG!K#)Egm^EEB|*vM1Z;6E26<=IxJWV*@^*{lHuxWUvH)a_)l
zoXAE99~JDqTt0-5NfAMmUGNSWgB-Eyj>|8*I-KNM!df_xK+7NJ(;cO7wR(=&V5(&|
zcfQ7C97s}<6<zi!nt!dB>Hw2@Mq_xgYQeRleLp^m_TvG}gBZq_I=UB!x(%`R^M9<R
zy$bBiXk#eyfg#_oFkZnhws&EFHc#M$nmlnjK77XWLmA+ITdeS9)|N(MAsbY;_)jpU
zK}jJ5Rir(%+$~;?9x{GI?IrJQQA~FJlSn_~LnKD%v+%)BFqSfRTet*W)PgZJHRQ3c
z94L=1l@l(AVa%FBLrj@-^eP}&*VEss+E~(m8+XBQlxfg;ItV9aBZ@V;d7>UkZefVn
zU0VPsP?w5tjW{hBprLL*o6@h@u0)G*OOi)Z9DKG){_Th`AG1F|U-&(X^c_C#(Pofr
z0R6E1JApZ^W9^&5vR|KGA{~3!x3aA;*I827PMsO`Va=s6y=m4~j+KfNGV5>Zd$>)!
zX8mbgu$sSh0A1phLP_@&5MtEdPV9YZ{qz~=cGAr|Ip3{tb=|Jfak>4MZpokcbKLt_
zaNcoO<f4Bh;Cg+g@55G5vUJOdjp;U+2GHz?DE_Ya`w%Ubm1`p}&e9ucr`639{@si=
zx&2V)q_VFPR6xfXn5*TT%dLYpk4Q|^@G&(ELr1jrL0e&xi1$ytqMYH{2;xAPoG!D<
z)58(LYR-Vk{|j@I%jUG1+C!#kW!W)I#uPF@MV$te@G;;J)RPBT%}&)Ot@iv;fDIWS
zfnU!LV^lKmC792#!%cLH5GoHEC1$=0Cak=cpM78I-~Kf~3fun;VMePh959z@6+7{l
zo&6tloLhpcpVnBF?!ThKmS1(Ev+TkE-|O?F77wX((Rfanqnuaq$_4w`S5%0h7PWvm
zD<uE@R5PwKw^iO?eCI4J=eJ%LkFc0CXH`b)9miWz5oS`Tu{rL?Qx}>VR9pj6Uj1k0
zAqM;k&8mE9ddW4{1!Z>mjH<*Feup__<#i@b+4KzAwIy}fog$oXD!iFdRuh78B8ZY(
ziIv2pCK%-E<(knv*8I2-hs*$?gB+AO-`en8yf6X9fr~6@%T0ts5ca^ha_;x2k1k%F
zQ<rEgpknS_1iJ<R#<kgAX54lVhPWFlg)RJw*}#1s*_!6GntB@LI1X5r6?%|?Jrv14
zUd9xLB1V@r^z}5Ys8mkDFMiU%P@b*e8r6q~g;!%2k?UpWZ8zsDzG3G*aVKY7(+E;T
zN$^}%f5J&cqP44lv8hB19&=vC7SHqffv0HBuDlKt-fPh=w;@V$^2M5C&Elerl%bvS
z9Ui%byGz9RfhAExPq43$^r;7j7Si}N6RD29Bpg4;dInK{PMJ8or#2bsBX87J0Mk6|
zwzZ0{BX>yFO2itC1H<MAb=k%6?BPHGCU&PfW|TfiUIqK&hnQZY`3qBXc6vz07g<f|
zm31*jIiq#eIq_*<zf}o9j(7^p?3^hMXAwRKPloDhzr+Z^8fs|Y551?#j_JJ)ktNU-
zg|)+yEu}g|Ir^1QtSh;mKvi<Ni~;x&$Dy&THP|oS5puEaPB7-23{};V{qURCIG#ww
zgaT_OjJ3XAG$|0a&lFMbIx-CbHqvH|49!&XH|FHDiR|%UR}?6Ed6C6uz&QhdK8!B=
zO^g?&<>drq=6ve&ArVr)vzySVA|SOeaGp0vR*YP;ym0GHW_D!e{!$XRLuBKN!?y`U
zU)!Hn>Le%<nYv~NE28TS)JlkMq~FWj9ss(J;#fB-1sKBiNZF&uV&P(^=I<kM9XRh&
zHjhStJW>z|+a`*oj__=ZN5N7_gPtx8w=u-s-jU6L)^=CR7xQS$$^;{xiabrk@!>s6
z)qB?|@qr5i5l`D!+`1}r@;0KPizqd2?TO_nIWN~Kyw~Wp6n(|p7iS}*q~2rU`+sb3
zd}lG%_eHs;ro`RVVA4pWkFPQnc7AmtmGg#}U{R7d@<_aDe*Yd|oFIQEF&FHHA`g4p
z9A~u3&i{85l@pKL4=PqNzeDxFj-J%J=y@ECq-LnEleG!E_QJCAT+TQIuzcXF)ZrW~
z79+J>!a{dk5f2%U7}{8c^_whZs<4+1OHOhVuCNOL(qX;c?7JUy!kx_NO8R7b7uJtZ
z)+|x%dW}(7j_9*~*B0!>hZ#HNm<_F`GwsTx>C~?2R^q5?+qoc%0rh&0R4`K0ysCM#
zKeF_SA6>&e`q?Qc-D8m`M4<!)WvH)wohjij+&^Je25>ss<3jyD{=>oj11_C~)R<Oh
z%`r`cgxnFW5TQ_P1_c<te$jWih}Mc6+#La7x7IGHn7{Zh6}?Dy5deR!k^>p&G$}#o
zWcJ?0t?~8B-i@Gssz3+^qF>08^V^tB0U;t^;w<!zkiK8s0?RkpnYP~WEVPSFUEJj?
z`+8ef^maq85lJ(QN%+V?e>B(o$eoy=%dQySAQU5@hv#CjD%$zE4>iYwxqaY7pVEV)
z8B)jM+dkC=jbF=i`hNM!^85NxLXP1d;8-CgE(9c84j__yQgg?2slNwK-<wVIc+<uH
zt|RA<b-a<*Ko#&Y{9?5->^w7E)oFT|zRvSl^1{|N1_S5AYxNh~e?it4?f^HWL=5KU
zb^Cf+k<=^JWj}sEhg+j_K1No6??a?QqGfF154qOcD7ZgVz<P31!3-N|w}x7Lw_XqS
zP@Y((4AAw*`I`5btfY|bbN7ywevFXR+13R1u%JbS+)>PJkb6P%cj-bQM1&bozqbQ4
z*>0R&y;2B#h9)nRSXbkDkjZOiFURR7cw#!o_lyJvWj3ZZP!*haB<bUpJXDMmO?O<;
z(SPQ0+ZH<P3FGTaB`orF5`1mjx0&1I6fBvV6_#`~#SB5y>A!L2?YC>b!8!K|sHxBU
zvFv0M(0mHa)fWc<ijJ_TvHzX`I*L^{z6l+pu%lC=kuk~d8;W<N?LDsN88YY37iCE0
zik0)t$S(^Os3_ejXHVdoqyqB81{eulWi%7x^0X^#R{gAYk<&VY9eO1diS)j>H~!%}
zdWQWu%|#3|2%~(<4%bWd#Rh9&gQixvJ${nh1c{JY8)o_s41_);+$7{tCILM(4)jmN
z4xlH!V*&Kvcc&GL-QYUD-XGRH_P4D~mM)iig45E;kkCt0^{P?gT;<aZ&}Ow1+8D2p
zRG{InS~@Aqljcv>uTmP0CFht@e-QD9U*X`cjKY{8kEb0OK^$K$KZYC-d?C^n4*!>z
z>A?hjb!*B%|D6<~IwZ61M^|~ykvq`k<-PUvE^aH5x-G23%a}iN@ed3eyv4_hLYJNc
zi^CtlXnLUmVT^_mzY}OY>bj)jmXz#42i)}4A-Hipk7#?$ZGMOR6M`N@Hc|=bBbSpa
zjmzJL3^WjdS^!P>)V;r^{*r`3Qdl>}8mDE6m>oOdvQsw!3Dod$Yhe!Flujd>>Ko`N
zQq*ram)fD=F)@5aLt@DjQ%T4)-sPyqe7MKLK<s|)C{DJDFD~Gn4@f>?rYuj%7<otI
z;|fb&S;8WF;}(_s!qV@wG{~N{^qXL4{n1>W-J`Q@08YQQ0l-yPusS&?{-1}T0$U>0
z+3b%776kkH;1p7!ew#=Fd)uOa-}JzZu4xh=bo!!3*T{r1ff0L!qx&z7Z)}E%nWK$>
z^%)u@b^ro|g<d**E4X6k#h9ck`-V--y&CdOm@{lA5Lyua4WAY>MytBcVx?Z;HO*b0
zF8jCi%-kU0kUvt!*O4($R;t62^AioPUy*S5b>YVwRq<DdZ8q)+yj4?4A>-l@8Yu#;
zslINOm`dGnIB-`3;?OJfsK1)La>X}o@$FE4ARe<YZNbW~XbrW0-WeE=oQ$G+t+g+N
zqiT;D&)#JqBMZ<|*>KrZRb+7gz4M!J4`c*Up4{i#3(#KoPXEV;cXVIrU@SAQ+4ozs
zD4{!{^e)ckDC37Z5p*+~+-VO#evJZm$G8UT2S#18_1ccEKPr!9#ai#E5mn+NvXp63
z^3qsjQ!jI<jW^M~D$x%~?yRnu=AB<^%^A@s&|Xnkc`ZY5-2qi<FzatbeP`8!vYcIh
zHUf~LPhl+I!%nwAT&2Y+-67~H5QCGyhx<X6E*!fd*i*K1pT%V0&RtpepoM1lbq7I%
z1esSjef4Ff`&NV8Zdq_O_^@8<eW%X_;t82IUdr0OOvWcv2D+c4ijh=*+)~9(dEd=0
zn6On?sh{FFI|!qt1)qJNQzML}0m(YP>0}XiB0Uf}48qpddpQ~`{tgEJJsM&n*w5}W
zT5CoEZ5YxY{>I1@f-qZ72B*_*_U0WGMkQUUeK4czrZ>V!N0GqcvcZ}KZVTW3HMauq
zV2b_>{xEHVUgy;KMu)L38$H6^?P>X1+@Y~5`364S?mMG{!BH4QPIs`9l1V*^#Nmn3
zj?aEfl{C`y74nG`6Jw!?{vvFq3=H8=Hjbei<}!MrZD&`i5MoZE*1%6-8@{zX6_Ud7
z(<eFd*oY5_-LK3y90cmWcaaE2rD?A`F$#MoHb-hR!&Xn1>zLF$>8L{;TuB-s{Xs2<
zRk^S1-6%ZP49r6-C~G<&;LblraI<o3kVu+Um4bRL?()OLJnIgEYT9wQum5Vt+0Pi{
zE*8LXW5evHx5nI+e%AQ^mK1mcLW0FsZ3P~CeE76^hPf^nk20cGN2dMKk4U?P{qVB~
zjQcrIpzF%57LKLlK}F@cFQ!O48jdD$X5(T~*EE{wYFaR=Iff2yi4q9hLaZ&{;+&e$
zeaV~0R6c9+MVJ1YC61Q|A*Et<O^twl?Y0bAFJJvS<k6=*;pKJfu!wrfA|#d57_;1K
z*iRyqODZW$4LP^bRb%h0i%2<O9V_^rlg*6PgDgdC1hG6hQotUG3MIw;_FPMim_;3-
zDH~vAaG~kUKVvan9h~y(*L*8trv6t`ju2BP%v+=tI@90Io~;<SyELxUfMD;Mq!4%T
z!LLPUb<*ISU;8KT1~W=b==W9jtPPHg4&$-4En%acJF7=LY(1D10I5n7TU(T^tu3Tb
zh_aqmqimTW@)8xr1VW5VuW!=EIBNx^jVf%32u0E`<=e>aJ$EWxl(HekVMhBz?y5kf
z-VGO^R>|$5DP`AzI;r4#$nhzy`uym2IFQ2~L&?~YG7vXz{+38qU#l--uQey0_@-dr
ze$!#)$LA!sY<>T&IaGvTZ}g=f{I0LB_%oEmkA!`N$RGTk5tf3=X18)JdJk*r7mqjw
z53goOx&jxhc3<lU-d^C|<z`X!?Jvl<zbfh%>IK^;tG3FbNqA$)OG9!w@|3ljmyY%_
zSl}7p8sIW`cV*X4MbPVLMK8AOea~q_9Hme(RB?||l-E9VT(h74p~?I98jS&+LyRwT
z$b>hBgQ`(mUEP~>Ti449Rd01M_k-hxU>X>|<*ip&%{?El-Ga(MfvT~DixAf98sf=i
z>TrQ*#I(GxnNU76SxT|$(T!k1ZPf^=Ww8#VGv9Aivj$Bo2|gHY$A4g-4QJ-*=&+Fo
z9z#j|$)c@jedsI92L_*J?|7|gIqd%Y2LQGE;Upf)(C$w!#_%oUv!H1}!@@kaQ~sUi
zQHSibzUWZ?w^%2R_Nu<5$FPV0uvo@WWSRHQb02NLriuiIfyz&&jg_GsXd_-`?5?kk
zqS_%7yX-)SJ=r1z>2u~6%fyZc5AB_&aT@kh2`Mv2u&a2XhbfRu;O6-fRq2zK?mQp}
zsq44fg<LvU5ABG7?4?6S!!&ix4~o&&?Gq4_wkLOsWCSEAd6^Q4aL;xnx{$2toHs(>
zL)Y7H-}?zR2N)EP9h5YZ7PPK+&f2`@j?N0IAitV?%R6KXLw}B|aFLep3BPE%8V$ON
zc*|-&nJ)D8qAnV+hwoCsh*sZo>da>Lxc{+=;P)>txNn6G^!@{V#EAh*sLg~7OR9Q-
z{^#o^@$jE-qJ{5~a5gw^E>rgDC{+?GPK4S@@W`q%S4Y<pKU;Y999bMTzJOo0jEFr*
zV%H(})e@njXd#REeVE(L>h^d{mE`Ugf6)1cO+JwcqbiiFXq=|Wjb8xVetEzB=Bu)`
zq_f!-3Um`jKkbo_t6fQ8_U=Qb!xNdVTs;f1ZIh5}jP=;wdmkmNa|*$4<WA1illa}C
zc`grAk)IyCLE+{f`t4HQNP3yd8uq8#Jsg?P64(e%j8lpon|AydNT(M&n{?f2C~)Im
zvugT2?6SI%CPo_i{bBPB#c+efp@n5LjQRkZHz9va8kvY^En<jz(EfnlNOgNWi)2~j
z;GGt-Jq)l=PJtPvX+Qq+pzlPrYToN?=RuUYFdsg9Cw<x#LN+owvSA>Fn??}%6HRz|
z{!2Dp%{^Vj2j!Oqt}I8!bpT1wByhF_Kb<=s{Fv)UGRu4>Zii&14D$-RVDIz^ON}2$
zqSV4~3%T{|p#1v!jT`Ra_&f%Koixk1yAiH>kAkim=f-`NbPm-spV)|9tm@m)u+AAS
zw`8pQ$EAeKBp(v+PfBBfgnLsP_wm9T9h#F|cZT8cNVOm{dIx$51+qvBLcT+2m#uK~
zP-26>z2ye(r^%Kd=L<`Qyo_&GK{lB4$$!0%uHuZtnCn$Ni~cA$=3?v-Tdmsv4a!)r
z76b)V<3hlvX-|L|Fy6oc;^vKG@jtNtq4NZ=VVJ}k^U7g6&Tkx-uklXCZVeTbM%QL>
z!&3;pnFhU)Zs6f8X?^nbrI~B4emOP92AH7mVm~cRQj3<6$~IRX#^CANWRUpr0WGt6
zu7Wc`!K*Z=y=ym81x}T!)Zg&7;BWn8bWy|EPDgL^q6AM`f`44iPI!t*%x&RdLXjwk
zDf>MoX%erX6*sS_AuV!kgjQlLM0Z#OKitB3?Ww}&eFM9z1og5Lq)5o4nX^l{1B49+
zCY|^KzEa#f<wm0_L|E}$R{bs0*yV9xtFXXyp{D*SJ;<aLK|yC!^DF@_LUecZM*HdJ
zM9uFRjC`oOYP+oH(nQ8BB%(d`*jl%`Kf@S!DJ$Z?RWbgU+otya?d3}d-buw^0Yh%M
z0JJqH{ZwL26>bH>ecnFs*tkp{+9q^Z3VKByo^*WGF<1Yx#4jPpG>tJ74>F=vn}hkh
zMo-)kOzkoL?#vS@3!@_%Cs??DYwvnZ+j-J|uHP;YBF0?t3L7k^2g~5tf)Vpu0H=SV
zhdYaVD)Ia+r3VX(=D2|`c>b*`<!*hRu$oA6Zbj8hK_deO&kip)`P?i@5$T44>$O!<
z;i<pZ_*&fu;mmC7^xOh9pMgj#;vi=hL)4Ci<;fYIt{v!M?S#*qs$2}Oe$>IHA{kOT
z<tvMh$<XFb#8)8)AXm;{83Wyb!v)zn@vReg!8hYiTC28ywDgxLs(!F&wj;Ce(SZWX
zWPtdjtZ~*O4PeFoO_Kqh5V+vP3^6jZF_{~D(4PeT_7JFQ&cP6|s<<a;nMT2GX~nyW
zCqG5J4?6#%7B?o0ynEe83bbaZ7e44x^WBFz`R8@?3kCnsiAH*MDRR@$463S_1PHNp
z(ifL>fa&Uj`y4?Up_E`ct)p-I=~)+pTOMeq?E3lDpaMEyad)1Ax|LaXbHI4m_r<`%
z035`j)^9Egdrk2iOqq)2E*1h&JnKYpH%hFQb^7gDu&zE~h%6>N3w-uR)u7GhR_8kM
z>=oxFn&M$}18K^X071;Jk->s02v!^99L;l)BdhS{j)r26u9X0HY(iGPM#fu`7M_TQ
z7nw$!;+TOwM+Hz8%T)ZjJRkpq%GcuAowEwVL;&%3bR`)rO}xy%5?K|d)9O}*h^V_y
zD0?7kK=c`z2wLzzL?|~wU@jK?FU?6Cdr;JSA=IHtaFJ88XrZSRrd4vUk^)7zX(h98
zR%(~b0bL;uPHhQ@D-lx(WoQNmx~K(N%pyxj)m9=YJDpnYmf}Yterjb40>N*r6rbfJ
zcw#GS-k&_qu;0f+qxr@M3;QK#w(IQDuW-o~`mok<CUj6n{HHlXUtcgiX&utuh`J%w
z;U+^p0yT(RXv1{5m6ZuvI(WT*D{4<&Iw%nU#0|xAFScO1IWE}o0VVyC)LFfuQ>W$4
za&SfW_9^wJBZIk5hsxJ}UmhMnu|^MHWRIUXmloSm#{-YMYOdj>Xtd<|I&&?cWuzTM
zGG%*?lYI%D#V_xV8ZLHb|F!%paP|;NUD1j(F&AQ|c1a}AYA@6<B6@W7`R=kPSx;sa
zBWpg|8wL8m(ViO?yK3j}D|?7)mylH_O}-tFHS-*C^Ls}j-bD#Jg9vd|z#-h1Fzjl>
zY3zyqp!~x(hYOzNkDrmqLXXLuHw_Y`2{6iZJ>$JkocQHW8RO<HejX%((@#{f$~PP1
z#aw@_b(7Z;Q0H^jW`i@RPJV{L`Eg?Ru<dFooLk(0V6Oqi<=H(FC0B1IfIMcv)dI2@
z5UC@g)kNB7-Be33uIC2ca1N^KisxLnIM)k&6-$ljT@Jwd>JXb>o}bz><j72y9@(;*
z_Jot~(=KwiKtFK7Lh;9o=vE?VMcC^1sZ!&@Rp%cULT)GL!7C>OIeBhrVa7m31>jC9
zwz_#t{TuWC!^xji!qEg3_Z~yzYBObadUFWD*S;7^M#TBg`J|L%_hao2)<5g3(}nHj
zn_n{5fJHA=hHZehIp7)a#)8RyDqwF^VVUo3?dQA+>>2x}_oTI5vR;d}eDrLWp7nsK
z%+>Za#2vS+U=hoCqB#JALed?bb4c5sB{6TnL)Lq@XywEc1^RBuz`UKt&>?5nF2Mo!
zGrx_v>XBD&Ce;bof_gp!8Jqbz-Q>-Zx!AkaoWNoGJQd%{B?uC9qmP2xiSJL3oiXy~
z@6e<5i2}zGEj!-AZ%3dCo}M<JF1Ua-M$Q1S%Dn1!YgtiBUSZ)dUvt=$<pz_E<*{$;
zTHmAlS8aE{V5J0aRdRIYyd?E;BLJilPoLkU;Xg6<|BwS3$TA{Tw74C$Uc@1<S_Yrp
z9>g%pFCtg{KcB-1Qn=l$ZTP5YV6($^7JI4?|4T;&;?b$Zix|{K0;EA&*#3hQ=F{pn
zaifqwEWa2V#R03?g(CuKfzL?m?E!^lEYIouFMeLW2VyA-uQlxr`IDxHS|8`N)2};`
z+4dg#aNDL#81xOgc436}Lk<Ruzgyhfed`lTvODj^byZszaJv;4A!I1f&lB&*6zNZ&
zFQi4N&3cJUe7R$~2-2^NcpbDlLo$Gyx_<*=VKKBtqwM^)MXR`6>|e!0EH9A=Y1csG
zg)FbnjWkT;n)2H}sqqqf0vTfg2LoJm^={O{JcFm9GDdtbK9Z;cEm<MgRmYw4wU9d2
zpBqulWe6UnK$?p;1&}u6J%_r0_#c;{R2){*m7*#W9F7HbHKMOr%xwGxiK$|ExW*WN
zR~#XBTJ^`eoY^2$FWcZ>YZ@p`Z@kg85_qS=nP~$g2L_iV%Rkt~-!T#@9^|aSwH*-2
zGGle~4`XCoZDTiEv8|r<5-G5fSeZ7#!5(4eIcE@tq2-p<;&`mlNfCLef!mWvp~2T+
z)u7e_$z_9JuIHI#^4_WBuC5;!A5?~atY<_>2&t?=IWOJ`@h9}A%+s8Gq8I|Lqt+Jj
za;9}tgqT-VHHxj>+$qFPKpo)(J;S#Y4u-6^EPp!Z;qT`@dpz=-GtiuCJI7B?s!@qR
z!bmSz9i=JLa<W{qQj$pbB)=x&hPb0N%_E2R`X~hPTN&`rmOM8vcr*idX+HoUZlhmH
zEg@TrRvK;<HZuaG|K;<jvA?hISSVOtGYf`u`a-oI7+0*`wQMBaCI0}0v6s;s=3YvO
z^BFPV<LN;Dy_@#$VBzo3TP6(aaU3l8@$;;X1y+XZM18;Yn~L9nPk1g^uCl$Zm@9BT
zZ;!?^uL$u8U1;H^T(74Tt`x35=<R}zb3<b8HK_z_dcah1%YUvHhTpi$E-`nrB8rhL
zbSr?hh&$aPXr8u2ez%HpCJj-_%0q@DxW_mL{}>AdqvAsRedDnDg$SY&e13I-Hmp)4
zj$1DH(Wk=21{y)d;ezm57O(<RB=W)X-&t-Om(uEkF8>_W8Tf`m8+bb<Lc$2oM$PD4
z4E|0^54dOL<3V|2vmU)x<5U}4{NRoQXIGam-zTwAViMSoE#gxw%`?qemFWVG)IBY5
z_8w!K`(0-wna2AeKp#NI2K}XrO-~H<53>JfZ09=RN>_L&D-hX^_EsZ1dL*Jg%j}2g
zNZ~${cibSILk16Q<&)@2<~xbY47C1r(P-gH@AYGxS%|y_4`|6tU_HR)TU;c?pWpUO
zr15gyQMMC)&WdRu?=rKK5E$Ha4t@~wz#64pJk>r_^~OsQ#a;^=(EnT3sF60OI^f?B
zN#!`|y@@e{uY<?(xGW-%T$MNQalU{x;`rl(ASY2jzk>VDDhf^*^YYt>ZmFspgv$U?
zDI%lnq|*uz2@hv(V^nSxn2^V13D-3z1gk%);0-gkcao#MhlN=LK^;cgBBIyM#)wI>
zIAs>sM6V|Sys^@F)Ft(z7s7lO@wfgbn8BLkxA(~7SJciPWH~CWzbnAvQ*(s(3O+yK
z+CzZT2nkp}<#k+Y44j{z=l^0DmVOEr05LF#e*P>dmSc*4tj-t$G>24BP)PQe+<PC?
zMNwQ*qN=B7C*+UnlTr4c2<nZbh~rAPA4cZfgeg@x?d7j~+;Fx_w2dr5#~T~@(~SQ5
zJdL<{haZo{8UHxL%;bTvP!&YRM=nci)<cmwy`k|s1?FqQz72613!DL<%P03|^rHS1
zbE;P1FG$0;V)&e=$nKg)T*ya^+M)exT;h~^rCzspx0hUlbxKtJ(4cNcMXDRMgR(PD
z*hHKiYtf0ZV*+bF4ycS-7&cjvv#*~3`mgrfyx)*R+*AvqFeS%4nI(~~##9e){ONUD
zx=}ZW*aoMAu0>h<Ka1p{dHHX-8wgU`&t(d!29zQx7dc_g@7758zKX>oALDPY{jlMR
z8Msno9p5!&d9jf!fs0mcb%*__4MJR8Aw0|A*IE8geEO^eZK2jey|JT~6Tf~1Jl<b#
zw5&WHvBZGQ&Ea0Uas2#P^lNq&F|^0z%i7hI=fg>;aPM-P&zk#(W6bnfU+TKo|M7aj
zaImgs%skx%Fl>fPizbF?qb>`GA!O-CWWARlrzjmi=X}&@;81T`-jj8GwB&ot`*(xV
zB1KLkoO1m?!BkEZfwi{$+!K#YSR0Xq$c3T;WhzbqD7-^%Pu}gB-uu|dN4{Ry9T-P_
zoIR-p$$P`L)>MCNCVgw@rkugH2|W8_Lzx2gXF>|*7S0SUN*6ZoEQZ!Y)$Y(cmb88K
z=*Dd-I3{l*Brq`gexNS?8vn8WJR^-7u0ZBi^?rH7*|gf456gttl?Z<Q`6o-n+wdOj
zj0eWNIInp2HDX~sHX8qeLny2E6hTM%c+5Q8k|9b*R59IL^2rQ-aW;<&TF8{JG^Gnn
z{p6pAOzFQ5h%%Xeal@Y7HOKrXB;b(cz6S#nlm^Yev8I6xep4MU`@#;GcVz8%ZfwlV
z#@^m<6A}`@w_8b(t7$ScBk&+hq->z;hlK^S$PC-V_wuiXFYr$g8ygR-tBnmqb4$y_
z%1Sh+)mZZG#@Lt=H7`Jy{Qmo&0H@LxfD0~J%j=ObP0JE1G3t81^udF|{-RSJ^7L-8
zcabapu553a<Vx>vH1@OpO}1BowNvgSRAXjLQ)+><x3cQu-8wfu>DV)^IK<8!mVF4f
zvNXz*@r~*sT1s#EN)ud5H3+Y(JO}Uw5_Vw3pj+23>9omdB+@<>^n(6Q(q-kFiOblQ
z1i}LY;joFGpIf_0%g=I_HrQni2termMM5HL{86ZGHr_13ej^ubnF_fPvW6STh|Bpm
zIzwBuG>X_Ohm7aR$6L5jC9NdBP#SN;P<<U9?J7TtIe=f497DvJsq6N<L3FMs%fIY>
zv!JAJ?0%|aF70Ejyq0b3n<0CAHV}pJ4tZG#1zP6J<<VuRR@cRC*ir(=jR-7$6FF2_
z`+(}ece2iEoXq$6eud`>+mwNl%=ev4e&tBg7EO3#Lj%Fa#s(PZk8m<6&z7>KoGB2N
z^>|>_=(-gi#_MQj_b~?S_P{?;_Chg`Vpa;M&WdW)q5}K-Jpk?&ptZn-C2#g<2M>f=
ze@8c|_l@{?YZ3n)7C$*-VNr!R{c&az{ntmCQ-cd{@6I+5FC#MFSd{Zxt!g&2CI{pV
zyVSsY%4q}4D$X8MF_G&xooP1~_2h{1{^Tqdte(ts9C3amJ|!4E$7redZdFX4`~uE%
z8GS9<y*4)cX$EoRq>rZQOhK&tR~ld^jT_#$S<)Y88#lYK_txT0G?DNq?KQPUKei;D
z<7aSR*A_Ud(LRAAoL1Ojo1$iLLkU$|gJ*CTd6x~>MTtL0$`dv*=hoJ46|#if+H<vT
z1~qSPl=+oDhMGzP`XBR+!)PJDVJDM>zy84qh|Gk-+cJ%~YbiMM+|UZst<9ge43LBI
zjt-?w&O@8hLto#ff-L5XFPrM@#`S!%;Sxgu)ZYYARUvhoVo+xG0BW_r@YvQ{<lm*d
zpXdfu`G1s@h}+qfV12XTJEdB#vm=Ni7k2z&{!=Tw6+LhLt7witHw?_V_blBU`kyb6
z(#CsLMLW}x4bQdxY0<B;a?-HRI8sQ<=$BfN$If`h5idYwB$=Jhx98E$_5QdW9?poF
zmc3Og8<Q&%(awa-f`~$5T+Kj;2W+e&(vo~F9>=V#DA;Pt><32u>U5NFuevW9wSp&4
zJ^ME|v#hn@Fuw~4Hsg1KUs}roYRs~-fvo!AOJ!p64F%T7KN^Ut#QAMqxdGOZpXkRN
z42V=u4eNBv9EyH1VRf1Eq~|A{MKAOa8V=<82uV)x1{*G@>94a3$`>T(x|j=vDHBZc
z9@gficULB@SEsF?)NsL&6kk!wI)xuzaN)x&G+!;Z;T-3XuCxs>`ad&L5<^X9qs*MS
zkG}$mZn*FpOX|WQt^{S_Y-ykkcZ|5D$ZP7;dF54G{#VLCIZ6bE8xKBp9E8{;#&An<
zayz~gAMl_#ysE!7Q9a4kR)TSiTEP=@k^}E6W+CC>DC!y-DYw<7b86qTs<c&rq(isl
z0Sqr$$Jx0#>-O>S@icF(Gs4&bOCSxg4tc=EO7NnxujCJ+gOeS0<=7|JrM;>KuIRwJ
zW!wG6nkZ=9(YUv*utLtwPlGbh$x2aZN6~VDitp_<;WoAn&24xYAbXP&MF-cK8ozCF
zo#yda7u6G5CO!KRczN#puw8l@TwXEE6j(uR9M&Xc^{SnMg=`{VrdmmXzK>5KyUm`U
zxfngq=P&kl+|<b@Uj<j5Af}q*^T-4nYBZ}en+Pd{N{E<?Mm9bxBDMM_C)TiYnr<)`
zgccIs$t1g1IysQ<)xs1|4o@zH|Bj@Z5MsqaG;SQ=i8~7-qX*Fq2hRvekrnZ>iIcjU
zQ-(T*4>4@Z+gg#D>CY-t>d3vuS(DALp3{^OYc1d=v<&pP>mS=Sc6L^O-+6>eDa>Pu
zJyRf-AhSql-XDt4bZcYI`ha%3Ckhl{42(wg=uC^DhNJKf{Uvm1RcAMBdSl={rg!&g
zOZRtbLT3hC>4qcMYk0@3rlW)5#5=m63Z(Ap*9eG+r`u^xViJa@WcV&OCu=?6^)Pyc
z{K|l;L_AgPFBT<@e;mL0S4mLFXP7Eh#X{wPQVYZpImhUkwkPC)4y=7}-09@_e#iAf
zPox5HhZ@}ZOU<13-anSYX$EypnyFND7}1W%!^%Av3Ust&G?DGH3=l6|k9$#bbA}pa
zv`L*db_xi=3)Izw%;5OaYHR*-U4cs^^Ov7zdGuXL*b9<dg+bb_x_(vZJ|RtIJg>@|
z+*-b1WEDGmSUML9bP0wc&MtS?{jB-HSRo0pvoxXfDZ59_VZ8WS4{TD)QUf^M=c66b
z#m1x+qC_O+KKP`#DWlVU`flN(2#M^EG8t{r3CE2?r>Gug?-A3jFQ%d!V?A3-d&X2Y
zR8cyFEvj3Hq;Nmd_bDS%@%Hb76w@ZMhD?2FEOpHmcpi!}KhdeL3wRSevqdPCpSO&B
zSg}J<`*P)~S)~yZ^J&r2^asn@oltYDH)P<+81azH!TEP>%^%pf>r<rcdQ&%_J*}nC
zhg+Jn2|gfWh&Gn~`Rhc#^y>UGV{3F9Q2c^d;a?rYR1@Nrbziz)#$_m|y)dasTX{jK
zuZX~i9am3_4Y^?wbNcuZhh|To2Ad=IbZ@GN@(R16?J6~l8UIu(_D>jL>-$uh14i>y
zq<*y`An%A+cD`v?r}QpgnbrG2me{*mSE*Zfb{6ZqnQ|1*KFqfp*WnHr!Ke19WF;e3
zSl5HWPg)3kTG3Hasct1?KEsmQ`?qwkGagz|f_&SSmX;$<aDq=q`P-(omGM{D1ewP_
z`j#F@+FN6Kmh8U-xv=>=%jT{UUU6&Yj_gP=#%<-pR#2OcdRQ6U9V)@j@Trt{o!zUA
z2YQ`NI5A0!L<xS1QycTD(mt3;i}ile<J;D2v*g=8co?^=;l!SEaDLz1K&hgMg7Ii$
zC#U<%em~cuhc<%l4s&#jGDgl!h~ta0!!gx?g&IFuh2Tf6Uz*i8Z=SfN=J5rC(;gSC
zcT~jh5oA@^-m$DOTG9Z83N02ICUoVU<W-rK!}Wv7m;5*LvRiY*=3a>D3^cdw8mu9T
z9y%jQE}3lsB^(QO5-2CGArtB_vpZ*?;lOKCzK3ezZa6=MhdvKhW!lQ%*=2U48HNp&
zwd$N$(cc=qT8H>7xguJS^$<-d2CP(_M6CjLjpb)@#|{a&MUwdZ#*VXkOxH_9P*lwZ
zyf?lwdQPWXGz(s+nK4PoGU^3;;di0mZ}b!qT@w@sX6&WQOJU%b$tmL2y?;xBGvZJ4
z@cGcUQkj~gd=u{tiT0b0RR{mxU5krEaWQBH{8jsN>Nn#bZ=p^@Cy4cxiHRwao%sqo
zTJS14i~=9)3c}XjIbUOSy6kgo^8EB@?c~%!JEY6+xQG7TW@b=aiQ?UoT~oonz=0Lk
zUuH^OWlaou)ma}*SovrN9c3k5-S|#hOl|LjFcsz<A-e_J+6o5{4BztRTpZOWH0BA3
zL1ye#r+MDvK^n&5$>XjK(#tb=zo+uMd>=xbk8U?xDR#+guW!f&W}?K)>iY7MpT7@k
zIO;=qDu&LN;Y!al9+s!vR@;d7ekV{;^k*W`s%^GfWgu!5a+PTyFUfWe6t)V$9hiK9
zEubSDCO$Lqx~0^IIEwopymg>2WRFYfb$7)*ugxZeym^<)9SZrFrSe^I&3GOIl$m(S
z_)$dbhFv!(12^rn6mH@M|0)U*BwQfGv<WwbDfV0B_Eg5BPPx+zUUZQ=j>(c3Ua|p)
zh0~l}?C-&(bKGxUBLu5CG6LO;<rtQz$x09;U6J^pJ=`)z!XOA69ggMO2X2zf`Cn3s
ztsxtl=#dZlV<^2>vgMSf@|4J@5|#KqkOE1nnB(+n_anK_to7Dzw?A#YvOD3vD0$;f
zxp%*}E|NJYE`{GUNQWp;c%9Q!FD2UFqYl&xi<&f{avS}k>8|1X8SZ9aCQT_oTYX0f
zZ?@mev?F|5dQHYu_guGJK~2%0aru3HKT#)a4?qdqPoJ8q;^*3Y8g8*@#Hx_`Ei5dy
zzf@LM23)WBlh@SLL<H!tpVQcC`+;<XQ_Xh<qUrYg<3^IaX^O#3@cJb}dktU;dGb;l
zCYSHl8FHOe6!eUIV_UMtxTjl&VP;FV%Ka~YR92Qujx$pp8=sz@-hL?E5rTY=(uxg8
zzt5L}b9w)k3nTW?@0qj%Mzi`cQnMjgjH8S|)yOE?R_Ke@DN6|k>lM{I0_YA;A0|42
zs;;4^T{ztrYt<M9PBrU1hfT(7t+Bu}W6iO^SYw?a;?2h2ZmW#P-&p3-Nqk(NIXO5?
zT&o5iV{iqp>Q}oe5z?4<_?l)j($mGFoU+uX)w{*{g9Ji4oG+*5lK4kJ#!}7a9opWR
z^*H3~L%$gmSR*KOk|k*PLXLL%Q1bk6GJLsQ-zu(olKk|C0aU<X%Sfe*v&1caAcQbS
z+r`K*q+6crEQqR*=!cZV=|68;eVtCkvte$;fJAfDsilkum_1-T2#ArJ$p*}FW)&K_
zyiLj@QW#YeRocePU9`Yx$n%0hQf2aB|B!OV(XKTd+MwV~KheAR=y+g@k^-{qj<YoH
zQ5^hU$7M5JF^mw@tL^5))LqHdz<LF7BC#+mf|tZl+gTC)dr(1W;fsHi194WoauH`r
zUOFOb)V=OD)K#w7u$}AKDkQ@(NvFoF3B;(EbUg?Yp`SJ2!x(A{UA}%>dS{h@G{6B0
zEO}SD&7~!2dSraNM*Y-tmZyh3F(~ZEu+FBhrDcUZ8+OB_9Bs~=h^^KeW%^Tw`8=O2
z?4+)gek6$LLi!7~jWh&XTM^bZC>FIKzJ*0gvxXdKS4K@iAV;LR@z8v^`xk!&17<&!
zY1XL9XYy<mZb;uzpsl0~Y}ZHp3n;rZ7OD<VF2|r;z0N76i2%wF6(nk#!$R7dX7_!{
z(_e3S6<_MPf4<iAY0yC$;8O;S&hentzmB3FqYg?YYXhn$on6gT1MdLRDuq}>GnMS|
zk`i00{0B_gQOeW@%034C>rtaFci;cV-dq1g^?iH53P=dj-O@;RcQ=R#NJ@8iBPAgS
zNW-9{N_Te&L&zXCbW1bj(9hBDC%pH$_x=IT>-lY7=QU@az1LcM)qbzF$<Z@_oD6N8
zFz91p=zgjqIasc;tQ9>al$3JIt8ovwnk07cr?XDGJXLxEW@ro4skm5HVdh=c<HzYh
zNRs%?49G~U#q@1$Lf%@(N;^}@ts~sV6ER6pHCS?`sL-lCYRniPoFHKg%*{D!+G9HT
z{^*sg-5r_p6Tjs^PPVi1MYajuP4<v!Zw1S9O(BQu&C;dNJr@BtbMnY?nkDZZJ)fDp
z`HI(%n<!A09e!FMQ905O2dd{LiR}2k=QwWBIPkZ8|3LC}fgD;X13=Ic8kpU4YXft0
z^G1*Dq|22FDAdk@ab4m41`F%B{c+g*l`9?E?z$|OkdSS-c}WYd5uL^?J&@{+E2Xd-
zF*$%e5A|!>ox1wa37G!1Ibo$iE*rFdlZIAxU4#T>$#?;w`=KgExp)z=bIO#j<@cOO
zsi13%z}=aE^yd0*;qGGI<vw(OVO42T-`BS}Ct}3pS>3?lzkx`8Hzc5weQ-~-6-OI%
zA^wb&ed<iN-C*LNEmB<v0W8xgJX-3HY2PYZXV0d*e1{5j{~XBs(2^j<W8@){G2$xo
znZUElDriIOaj-}~L@R(RfLym|%#4N~VW~B?9=}KRjdx6}_S<#8!-X3T8%(OMnvn{g
z)foi?WGawN011Es9o<B@F$szic2Id!Ls%!xa;1A!|GdxP%FG`^G+XY+P?}uenY5=y
zP9Q6rt8N8zzrxqx%F_$tx`$ig7x&q9y;krRjy+hhsfx`$C7QNU{S3PpYMn7y4NZ9F
z3UX}iNAmH1#xz=OZ2LSQS-%Y@al;*__C?RwaUJ{%{Ppa;GMF`%HY?WIzkzDq1@$sQ
zzkod`<VQxs`vdX#QwxFTcx}Uh*b)9fyG3SvqMurOrMuxRyUa79G<ELI<A|3px#rw=
z=P0NEa;H-IzvNt@K;I>zuY7}4>b__v{!!1Z$e@eOU`r<!l@(1gGBR>_7wMQZrIm&m
zr(d_+u<IR}fa-dtETOKB4vERC{dD=t@dnt+*xsJyO@OBxkgOx(Fy__Bu(P-48}iOM
z^xj|W!O<JR`_XfzISq9{I`AA`u!maBIW2(BG$a#xoEH@cb3ab2*++Z%i9_5IOR@nh
zl!X=LA!wIh0OW=Uho3VbHD=GFvoCrFxo;TQl=qF3I)74|2JYiT@Eb0JVSeB2Na-vy
z|AEWOd^1b(#32P&LkM$9>|J~{J6%lxOZs^28hVc)&p8@0ZCe~CWq#w%z{sq4K>9sj
z>uFz#;wpH}8Yp-`p&&SIvHTT+l(^kfcp5mCp29KNPNuvF4cHzx^o`YtGqz8YOPh^z
ztY(l>5&kq`CDgRem^tW)M!LZdqhE!uyI>r=z+@zem>0>hcmuRNoc-PuEhtP<XxN9n
z>4!OK%m{h$X%|tQ{PTxzi~c5`bT^@nj(fP>vC?f~vU7>$)+9Qu=!>%w(nS~e5MA+A
zI1*%9T)`<4t(+OPxJBcs=LSz>rdQ`=d+ypo^(U2Qt=?nK6uK&@KN6HpORzN))BT0<
zACss=m*`eV_nN@22(r+kF~kF}Y6sU@2KRcS<Z0rvGBdwJAZD^=`o=VoePjpS5$Fuh
ze6P><8}br2Bq7PeFE6(W=Dz%stDaYrbm~(6DR%Q?^yT756%QiX2KH04n8CdunNNCd
zLn6%7RI^j4R3`N87i@D2bvxdFA8#$me++RmNg*kv=egt^y4Cra+Y+Avr@M_!crHlU
z?O}#sJ}%WeffkT?iS~-&;(H6+QjnPxW#Kg)54sI%18jt-0txzD&ogWLWt+WFeR&qm
z-YYp)=F;l?c@++;S4x_6lre=`Ywo5W5UOT0WNp02l{PL3Js)l{(lh%$6qhHG(BF~b
zVPk%dA8ioE4)t8uQs&c7T1e3r<sTn#(A#@9U+P^K+ZMjqLvF~{vQp|$faUs#JZ0pY
z`guNfmJB<N%u{iVx#$k_q!!)xSrls*Ok%NQwgyrOc2%GBYBde_+wJ|8O~n8pP`bZD
zQpaEk;;K-<&JX6B35nZerT27iDlt&7D0=}1`0eJVRSgGyp3fLathFhl`|@N923#^b
zfBX~o;pI$~`AmazZbm)GyZ!u6j5Z5EcZ!Y3SK+H^=T1BoeKDLjcb87I`1e=Cd_gSK
zIV0mejVXzSc4AeKYuVl3$1x615LEh9%qhDRUkjYSppdq{q-3zgGmk`IAe4t~0~B^S
z+7gsFW510DGe0i2)q#mGy@6#Gcn>(Yhn5eS3u<1_O=H8FGHH%^`tziBD)Ss-%kWX>
z>h%Ba1<*lI%)Z|<q<P;=SZd6txffVQ|82jL>!I<(jtS#8S`3{n@>pw>3|+hN7B0-0
z{p${oKl)@Zw|bM<l7EEnTBlKv-xHLv<{36XHaa^T&_1QmcqDZn$DTdhV?Fu4oUcb0
zKWC@guL7PvbKmC1I@J#{<m8^wp93(q?&Rcw6d9o^il9q^=UYMjOO&*y^qWCes}<{m
zRJ50U2_$N*M4&*9u9_`hT5h5_bFrd{mslfdC_6FirAYkfzcQ<ga@2(WZy7;8-7~6h
z;VfuBd+l{@qUPr2o{o1V&5Rxw<GjB7b>Rm>&4vtXD&CVPPZ(nKM5F8euFU&=x}WYZ
z7$#N92(pr`f(t@@-7oI?jE7Z6S1IK2!6PNI_*4s1NFBw*PwIT`i&6hheT&kB&S7>_
zUSWbw395i}rl=D}-P+~1LsNdf=*u4%47LhfoYRi7>mK5vNP(wY$vm5CD<LgNJtwy|
z9CM+MgWus~_Z&R`fkakn=c{8dXI6K(&LX-(AJmF_JJ<PnjREtT*iuwZV(p78raQR?
zkXz=&TYaa+O1W06<VUV??4E>BovZ}AB38T6j_I4MZNO%US)8RiPxbHAXEG0WL&<+%
zh?I`+e7(Bmucb#wGF2V#(wy;Klcu=G#rcHmx!?ocxz`MhEu%=@<eU9KI{;b<i7tyE
zbS65yZ|WFblZ|2H15Zxb7yCWms5ILqCL0fZltXi%0FZ+m2lj)8%+f9jD9I(P405<q
zdPN+3Obw;9beTR|qd8U-_P#hNmcI5GW$wh=seeEUmgmsk{xl#wT4^fhHy6`dezM5H
zerjrFN9oL!Cphq^y0$=YY8C_MgYy7wp#MU1_<xRff1Pxi%H3pc__Eot?91A3^V6QI
z_YH92?hkNAjYWw|zTS~(bT~Wq!E19*YkW-W=1$TYc*5cGaR)`P_wA~xcv!O}Pds0{
zsRI+;mu$KgcOk?6>TbKk`WJy6Vn(11R;?*TP;9gHyM*>0^7Y+SIy_rZNtKvgcji;>
z?ncI>{uIT>10<f=t7H<do&2%n)=uL13AwffZ{xS6qzs}&Nw*DdIDW>mLLCX%n2nw5
zKE-rb&AftVdvUYYuN66UTX%1=(Y~~fp$8Lohz*;Zhu+7|>@Io{1L^6+Tnf44?rWgo
zp`?@BgV{vNbv!K#WDXk7GhLVPuPd|n!mTLA5jB=nKoK2TDu~lHH`c5HZs1-yBdS{A
zK|x<Rj`~@#)gmFfk>$<Nb1k32y^4Sj8*=zlzk%t$MH`UwqkW|Hel6v1Td%oW_<2*K
zTq+AO?+>p{mZk5B#of-$+}LBli01Ho>+}3(I-AASB#}{tj!@S6vf#f(Jz(Q&cPz%_
zgR4yu&9#as*+&f@JRq5?s8+ba%7?43<NA?DIHj=6aT1G@0ic?R6f1#T`+I@tL-mA!
zxJ*gJz=RSKeS_$If)-}UL(>I&e}bA<0_MBuSYh;3BT_2`b+Z279FwLfK7XU_$6o1O
z<s3y_Gmhz>-kNwjp0DSI5g-bZl)ziO{9G*0#BdLnANT22A%IVe6Td0t7_*1t)jg~o
z&y&X8rTBc5Ic8!TF!-9edv77ofcu(~s_C?hAcks>p6^KX99M47T8+Eq$81AltSYgm
zaNrr<6_Lp!_JFs;E?C)<j`*oqJ;pD?5X$65PlfAKCK1`?v$tw4Y%~~|Lr0V(2}Uhv
zDpDUs@EJ!wt9$&nMFb9D9PEIyfq?KS+>{mS%{8=Sa_h_~ybe?8mV<57XVO8fe(x(_
zkqD%HHD3~t76gC2*m?Do8mGhS6%SA-!1Ds4oR=dsnz!u>)C6!6P!*br_QM2=h>W`x
zOLJd7S&NJF1nv`vh)t%_G%c6b9#nq;w~I>`)#Z6tS^NRqNUXIRHoYwnM%QKFEZ3_~
zG-*;*@cy-JVu7bXKFR4shoE|*-kZ(l^yLGvn?PP1Lwu2YdQn={jDj4u(Bu9%?oIDV
z?fj_S=v&!roPod-aZ#-`foU&+zI9SR1`#6Q<^jiNZw!r*ek!ozR;hl{i^(rdrQznG
z?zI}3(O-!7SQ2`r8TV9$YVC9~mqy@B#N~y6Hl2DWNUdvXCB)H-*bAyVv*(#GPf-RC
z3h9^n=rK-8&d0ZJ#n7=M_~T@E<_A)*pLCEkpU#J66R}{_4JnDc1q}&VCqK;S4BwkW
z=fKEq8}j?jLRwUwV?C;V=bauY0rlTVWOmef3K&aXl`493cYjiz(7cpNOldSZp~0Jj
zZ56oNsi3DORzEY10#N9gtY&WaI=hFdd@Q@K!tai-uIuIFfjLbg2dTi%kDhRc8!(Y-
zhpYz|ef!)gv3cKTE3aH9ULl&-V(`kYZh2j<h5jdZP`_F6Q?R%J(MQSbo(FQv;8RAz
z*vB{-12zh<w7^8ODCV0WC5^RY)uaI+p11ILC?roDtJbF#Gu$za%V3g$_;}DM8C4_P
zT)CEz<ix*=)kXI$Y~hv<Jb$YY<f7T@U3XyqqLPlKwyW(#$!A+9yZQ7X(6=E}b<8uS
z&-y*Z{>lw275?|F^f%S!W^s#sBA4ccBrZH(^>(U<@-Qs|C#!I0Fn*yfG5oa}fbJ8&
z%S3+xQpw^%Je}zWcZBW0u%Wws_(e2byvc#g*bJ}yK+#eERvOMn0hoQ1_osSZ3#XKg
zgt`OdIg9=Bzfd-u2&t;Jr3{X8!7GJXl{Lp);l%U~#omrU!<M_uVi(UHa%5Vu{$!sw
z(y)y$$w07dj&v-TA6M}`CT~cVM5Vjc?v-|Js$&>{TadCYt1WU7=}lgGc0nKZ3Z3H`
zelSIkW~?RqY&7vS_;tgA54Hd|&SI%7u6wF1sl<TIiqsWZ!uK9Mn)mtrd2c}dry`V@
zs@)o0XSn$Z^t(Axc~v*l*dBTDN-#Si!0*Td<<-)CvwzaOeL0+Zc<}w!0k)ceoTcRC
z?f=MHjf^&&!ez=q#_J~P+oEWK>b<^26g%LCYtIx%tyok`&&gt~y7#zD*7bDJd5=QR
z=Td$$(pL`t(zSzLpPl0WvP-|{%1;v-->iHCt3ermt{vYnYCQ1eK<X6p-P+Rq4$q<s
z^vGZ1fCV@Opl9cVC`YWmYfP&f`z7<CBa)rUGAL^@t!1sdQ}UiV6ut37ZGr+pN!`U!
zUU-Nu!jFOWx?1QXX53tHi4kOq7KEI+O-hN41Y-jCs89W<W3dBSvn0{+el`&gKI@Z*
z&8h$*s5x!U<yv<`JKm#)?_v4g7BZKQAKf>h7Z6v$o#YdbP#tS_M0Cn^r=nz`kSO>K
zXh6pO&BfQOJNk>@=f_#3AZN@~#gs8P71bJiHj+Bx!ffHGJSEr}(RN_0SvI{Mx>0b=
zRLwhAYR4aDJ)MmIw&gwRmynS)E~P`aHT<jD`<rDU*6drA#`+FS0L{v!wB(N6VUCmI
zNIA5gw0!W;K;Ydj6@4Wp8bC-)?-;LtK}tY1=DUzsoW6GiuWycQh|c+^SI2_SnD2JK
zu-IfIELSAt%F`vjsx5rqNdF6I@>`^*VmjOC4ZxXsPk$(5t#Z>IZ8Bj<OdpG7lU<Wf
zTaC&DyhYh;h7JCd=y{1so#VB9@@XxO^8EROy0yKZ#Xp(m-VN9#kfNgtL~P#H4aBka
z={B5qS&Ubd-~ZH>Eod|7;GZBY!F=8cbli@X?}()lx&;ZHJbLxwW-h0Y_@iJz4k11b
zO>6>;JU`~%mJ|8Pvr`EN-fe*(kWR;;z;$U3{L?%Eb^p<ensOqtFzin=U5`yZV}0yp
z+r&3vlVgUn7`2v67%J1mka>5RyhK@AlaOt`N8nCdR5*vC;r~>~@jf)Gg`v7p-O@g{
zUJ9$R6_^)^@2mmB{eTtvv$9+9%V&>r@{kU4fwSz3G3B%uzp-0??R7mV1a?L-M4>(V
zvYuQ3yeJUd>A&Ug;%k~+@nutU=VG<0Uf3doLJU`fRO1^^w!o{CN<HlR7f={Lj1W9j
z5%wBq&zslvEFnv}QD<c)Rer^UJkcU39QTr;K1)MwBK2ux(>kx&HY&|FlUUqXeiYD`
z<p*6u^4nD)9!%camyAx+DlgU9sW|1qnG>@dHyA08#iGgZ^WiedL`;zCvO#Yd*8vTb
zr=#Rou|D!N4fVno5o!}i;*LIIu+@G_NI(P9V6|`sNms#%wJG{#xxtA&Z+o@TNjy@0
zRYji0^od(_nFon}s2O)V%o)5mcp~>1Vx9r&!Guv1Y3?zZ7gS1wBV8Cdl@fte@%gVv
zw(z(LDuMxUCw=lMyMzRywG89l3UK7Pt4eX<Bvbq>^qmxd6n<BgTbuT`gaJU<8C)bf
zshkg6UJd!--G?tkBNED=n3|a(-_K<+emA5n(%b7vlfffaw>*-dnvIa~F~g!<8t*3C
zGF#1Jd#Eh%{4Y@z3e97SP<&6blY04#M9iV*;H!*J(V33w03#><cAsV~RSyp4I9a98
z>f54X7u#d^nEcx8<>LXAd&)U*{AzT+E>ny!j!VRm>;xEJl7-okkXBdjBVkKSVIOW;
zn!3UMnD_bT89&%FjVx5-8t)H2m27)lPEWXvXu|398nbZv)2yGTE3Px$L60_GAV?IQ
zg(;B_oCS#`N`|DwG7m^#$Zub-^v0^bxgd@bW@w9bpG71vZv9UD#u`=}8W)}@%aiq7
zwgGOLIJN4Goz;Oqx-j-sXEx$SQ9#+MT>2)RXI!XYR4W`r@k#H78Il%^=<kas>feEQ
z*tPVgBzlTAPMIH}eMU1qusgE!ow39I)X(xjFZ<>o00txr5S<U9V&so7K@x2~EM%UO
zZBf;eZ*qC5?Hr%9C+KEj5F7`M{^b1>tzj-YfHm~1A*OTgA#zwGG2e%QyL!J5NI&9N
zDPMRd{YN{O3Wv^dm%+E7a;HYDxLSK0Xn8*j;-?_$k9)LwC%6i#m9B`FdM~4sfpZ>H
z2Ciru(J&S~qW7a#%;Xb<q2qmG+G$m7W>}djB5|7J9#OX1Rp75dMhR^1ULt(zqmvGZ
zEL&Z<c)<2dnV6n+a0fSzJawys<Hscoh3zRuQXe*LLf=<2&e3q68_ZYF8{xO;@|0NI
z%*J10Y1mnA0z~7Jfd(>`(rs=G-6flvJyN*KI$AGM&pV!{zO83(APO=GN$lQ7b#g|@
zru4Cv-_FREv~ml1+3Qu{uRZ~W)4cbl5g3&9J`=H#t4bChP^*l3W{Q=n4ZqK<Z-+Fh
z|3X&*WUX65fg=9lrZR=fA#8%)1=FPusO?4%h-8h6a7RmA?{UBKIZ0hrbBmenr^wz~
z&e?cC8@JTtgGkvx##i{1Ao@)4FPO5YMyGNh<6<8-D;vxKWAc;m>6r1>9IrY4I}stu
zLbg6SqMGqEfp=pAL2>6vw1QALH%B`Ehw&JiWEHY3bS1B?>Xta82)ed8#lFXlPaw{M
zKbzUUhT#kh*deCB{@{uww<3N;e4)VeGqz}4%|GV#<6e?iT5OsxKrvgU#ojO>d7Arb
z4uqHCJ+=8WByQ$e81(E8)`0~0G4v}S*=PQxTm-h!yo8CqeorGpZLg^3vYA+HB{`QR
zXU^_xF08n`C~QF{bndjt*X`QO&&lW$p-gs5Iyy#Q%L~bjyv|H9uE#kyzi@FN4u>sa
z%pg0&JtT9=N4D`Gv+*GK3e}!u)A>S|QUGb!x>k<HrGIYN8>nQ(tu(;#EkU@o+1Fi*
zJHz*oqZ8~tCWPZk6SM{9pt)mo%J%(Y-_!LY(8DA?IpV%a1u~dmqExI-KE@MAr4-0<
zpZjGO8l2TU<v0Y^C{?AfFIU=+eYxS8s!=czhG@xfvK@LCFs5Euzg;twMChm=z^`ap
zjjc%sV)gEJQ<Ox&1;Af))DO`D)Ry-!az#g3cCmn)awZ0Esx!4IC@k~1II5)-L5UaF
z*Vhxp{#XUHfxgR@f4!sXhF~(rb=Uk+PO!+xJ~zWj&&$8rZ~Wb*E;pk}*2QdB0_4O*
z6m)@dBHSPKeChnw*Ea@h!aetC2{&1TnArU#6$FxD52@BKfpmlDw}<4&CL#+3w$i$D
zI@md;g(iAIjy4_a-Kgz3O^c{B@ytV-^f4u)z`_MAx-Mc`y<CG2sI$LybKZsq23n_n
zhBL(u7+`G>tx{}jjIHbU`F`5sWy`(xFfqB}J-p{a@8&sH-6&^8<^b;!RE%7nTCKn#
zt)nn{Uw^rv!NojQO6Ref6so&ZML+N9FRap3YW|CNybJ9CFR$)mNVX5^vW}Ce^tVP-
zUU^h>usjJm^A(1jYs=A5!r{rRq|QoVEfQ*uO~DY)k=rjd7f?~KkH2uBg$YP_A<-nH
zfh~tp(Ad~-+H=3{3r`2<q3YXL@n|{Gbe!x+_|XH8@-zP6MI2)&F%xJgtmFJ9d6c(>
z5zFqxFZ@y#qg>zMJxQNJLat)P{!CW<`NqT7m~RJCOyc6Ls{okGZ&tcUp?;{}cUT)}
z?g^k7&Jvdx`MJkT<9fdwUF&qfcS-N<ym=NU!R$!G(dqAg0p4yqXS1E$^YkT&jnKzm
z$n>JTYDMi|pqQu;6y{+AHI-(^2G}<gA7f05`A!{owFm0QiDzP-?T_);&rMX%mOx@=
z?VoFGl|t$8s;L4IpkA_zt#-Y>p9Jz(Eq$ifHyFJ(EScap)4pD?gVsRzU=t|FBp}Tn
zxFL|xOUR42WA9+U_5Qhf4LeJF2_PjUCvj`w<GZ07$*bE|hT~-4rWgu^>dpWU&I^wC
z0!M}G2^gOHaguH<<XvnFq*Zi0L$r9rC>z>*qH;)Bu8gR=n1$>e^xnkbLW*<-RN>Mr
zmIJ-;74}>Pd+f|~waUu*8;|)|3-h_K=8XCtQzFOLaTq5<g##ZR`U*_u#7ckM)Y#4Y
z&=srv@5WI4$o??syh)IQ*7Z8Ga2ssoKLK02^_5JCf_y^QI=Q{v@H%`FkTUJKCz2Ia
z<GRy*`tkRMQYAs)s!5N^&+&b-b{1PMp?jY7a$ZYznaE4jSauar|A*Ktuzn0@YaH){
z&Ds83$^ZeetL<QQ6+d>BHutGw`kI$T?^K-B1U73Y=8Druh9-_7_-{K=e*{Q)m<9X!
z4rp(;RTyiu#0P*D=PnH6MOYTvHaQ@HZ4#=wY^~+3qKAf3?5jktu5d^BFHf51Cg#h}
zYlA3jVrzV|nl>gGAw0fDtHm9nsU{z$Q_n%fsuff}H9E$+U4vST?7%gN62mGl9bWgl
z#)G->U<JPF>ItU&V(#19gS%K4IjS8CK}_!8?t|rdkLlwK-=@c_TRz~5Z@V}qiA7ka
zg?Csc%8bVTbh(15$XE^<#lX}z(7f+D!dcHX>~j+%))R)D3<x({1a7H4S(|tdw}u;6
zkkJh35Mp|X&|1?{{-cwAZ3$wMhsN^WgWW>gCma_=p{<m#)9nRIVm`rd!>je&cv0Es
z<l?DU$jB3?H|{T@^l8oQS%I=61l;s&q^~@&%&!dy-Ai6iW-tC&fN2VOa94P@_+GZj
z%?ElPmiS&q$FmY2Dsu#0ws@@ep8uE*=5_@0#7Zn)1l?_n)Yxi`Rr3b-ck^~wyBg=2
zSsG9HXay-58XLbp+}+m5y=8ZlXymI16ir7)@vHtB@T~2oPup_#@s!wRgzu#O=p?t=
z`i1-RohFV#mG`knXW%2Bs{N5z>jFNWmSgn$=R4pX*r(QVSn%*|l%qcJ-EDmSwqiNe
zF3CMOO+kBTmz?8gW@=h}W-4;ckm&nsV$o!INqHA1Fi+yrSl;odC=bcgW<061-P}Nz
zg{jG8VUD(^bz=bem*895Gbi^ZJN|cv+6JJ&`Kdut0wJ7^_`I~F`y63ErkwdUHctu(
zH)JF6BKZL1h<g+AUv!UZ(fyO|4<Gg$mk@1`i0GCp`D2kQIR`fL)NQ3r*TGhsNsN41
zCsVJE745y^;oT^66GIX16Pw`a0$-ln*-g|VQn}yCsE96fLjQD66>ME5u6s4<K3z0<
z!mg%bUB*NMyK8T=w2kJ#bOv(-78Z)8hzlJ#`2`Jd9HSph6)iUDT8H|0Hd`E6+71pA
zT=w~xq|md9!*||!z<WR4thSKohaWJh7y<{qVve(C4m;bKDHEl_EVvp@a>)>!&Gp&7
z0K1+M6%FgERvwBy37siEtEOmcFRHPcFDJ*i`WWiIsjll?^*L$K4e<dLeZ@N^<Eb}w
z@3lO}Zm61a)hGNmKWMyi^(7T;WIS`eY`Jmjx^ZjHd!i68WT_jp9GJ)P<N%tPmM2I~
z(wNdINB>bVKnv#Y`djdR+s4pHq~pEpIxt~T?)q#Gh3`W9ohXz4@koO9klE3`3eg7=
zffg)s^}uV)!u#ut=@YOmW?}Gs{<+5-f$x6rfvEieV3L1{v5hc-s5E^x4#gO1ile3c
z5gW@P2cChx34D}qN#$@ah^-CuXmPZ)w-=D)d)I4&OI-oRA-_HoE7-+?SVhr6Yj&S$
zyu^EJIxLW|4w6}_Ck<8s<RH7AgQKu=>u3B;bt8|8NDfClh<U`~N&+=d?aT9KL-;}K
zO|KY>RVqoB>CIi{tSxwPZCj$Pjiar3%SSlLn*8M0FtzMsxjwCWF?SXoih5BFz@lNg
zJFDfdm$E`>X@x%z2354?lct~EJ?khv&^xGc5f7f(B<U+Y!B|bsb!MA$-rT@JQx$zE
zw;FAIKtTW3Y605GOPRi+RAtMR5D{}(u(Tb|2A$@&=J4f<unpN0Y;hU;ZJjJ^UpPCc
z9R}RUfz)pFuUZC7)CZ1L_73KNzEy|M%=scMk^jR9Np~E<iDo&nfvaw@9G)?qM9Zh;
zCPDVE-lwJfOrJ`$Mx|1mW`%wbpTBqs^*lYPri3l#n-nFScccl=HM>Du4W$*loecEr
zx8olBSuL#ES{A_uu9rr@8repqEAu)G_i4-S<ptJQr<KTZ^rg8HVn*T(ENwtZJT%uD
z{R9&U$;dd*pSz?x$G3we*MzI2<W%CB5{rpavNunAJqgc5ZG`=C+-jgcop_=()|eok
z^O42k7>yf9ZN7ak{>RkGnaX1pl1m)~Jax%LpYB9|sXqiP5m!(oo<(M|&Ue%0FzM3L
z3M<(~Fe)VA7K-@ATHe^025WWk(#HSlnz5naE;&qJ5d?BFY@r$1cioOoJmv@e$3}S~
zylr6(bCF-qS>O{eYJ*2UXNHcD>CR^?g6*+7>UR5Dvt>1|_LdcFsVScATlw#d+8<(m
zAnAp@(K~)x+@3rz(S_G?{HhO;zQXFVLUZVTyh0MM-OkC|&tKgHnkctQ(q!_m<~(54
zC!WV%Ug1h0ZCI&+H7ld}ZFWz_J$U-$9?S^cVtvL@OE!O^FYK93PhZV65^<cQ@8}!2
z6`zt;xIG=r=*jxZlVSgTMow;>KW-y%7gaO|zW&Ld%1Qu%%SjqvT!dXD?SejbtB}g^
zRc`&^V%lB0H9^I<#9ZI4WRKcl>RYU(Hok?H*G8G+lUm44iDON@L5csdHM|6&JZwh3
zu!UJaosOFFgJxgdLOGt)&2x`e(At}FkBiL1;xsSO6ytfA57ZZaQjO{A4bln_jx9j+
zo!b2}5okMDYPsFN;a$|U;QOVR;c>*&>}Xf_!TD)e>z=Illv`pH)#b6z5GN#aHs_1C
zyg#(nMgD3Ryjl1JT@S&&ky0)wbTMg>_qOP8i)3*B%VC`YWYBS}pgsevJpl2vh3?6H
zvA<pTavgbCaNeXcw(x~P+FqxK8rVV1J`=3fzxnxFV^|^#Uqye?r|d{o5^B?Dx;x35
zDh?aaDA-!M=iQ&F61Y7-OMpOxc)(+Ffbwm3mv?0`c;}h+iwvPW0G^}gvd}~2n6Z0E
zsLfXW;-;Fe&)!5lO<V%*3KE*nUGv;n^EFy%ebM(0jGcVX%C@KfJV_^F>znmgXPlt4
zGmnDnmm};QuQJoFCSb`EkbX;d$Pl2P2z<Xpze6uB-Y)gzd-HuNqi@|Zt#E?ucyE`r
z8H?38D=jrWSva*+Y2ui5ZIo}i==>4O*yfA<g*a;We8pu1AYy5MpgHpVpLj)axf|y*
z<_LU}AvCvdF>oKs8|<YKG&?K_^=y?e^2?LBy~z-Oq@g4f9gN1;ULN1bpC6R-pxv1K
zXN2!bNTa;jRpfHiKXZcRGH3ZjMzX4y#H#jlC+z)$ayGpdlGt-v#MyG{o-MTRh}f<{
zM!v9gte0mXKHooP#lJ7`wrXy_mCSh5>elz>$K-gTFt@O=kHFXW*NizV>|-j*rRv4b
z*RjVIEoEXIdIDqYPGFjwjE4EdEv6F+ou_fEp@}#ER)K`kT<Kp|Q`HOsV@EG$HFHvB
zqT_n8%vPT;_I|t2d!p4maJ#N-Zeolo@F|7RV%otNM@`l?c#i>=Q)~0v?dQZn8qGxu
zup-=D1#Q@##P~y2Nx&0<_IImsHll%2nUguzkkR&n?MG&fQHCPLHDYDiptLxf+|*4q
zX9<6+IB$m7ZbzPD>$pKRhR|r5kBXvN1#R*F2-W+}N3@-tv4xDn$EFAIC4MIc19Omg
znE}XL?w%q_yKws5QZaDh_&aO$Lv?{Nqm0ebQ%f(RJ*)Jp|L7Sm1nUiOtA1kNGC|Gs
ziz!%za+Y=PI`hjWE&}i6AKM;3ErKo$4-AJXMRWRAE4FUpnPr5TaUMgSO$)BPL?B9&
zG>)J9*G2$>`bC3!x7$)vMa}6|!?W8cs->KR)@Fgg#I$rhz8V&>tNy6%;9Cxj;w=d{
zE5+d$Z3p=?nfmI(;QxfXp)cu=&i2gOpPEfQ&ZxT{QF&%(Qs#Pg{n=ifkzRahS$Jn&
zl{yq%x-+Af2&p9Fk7&RU0|8?>y>w!B98})oA$PSaQo(|_P`r3Y7g*)4;RnyrfW-LL
z9D|263Pq+(GB;1x8ydEFm+Y3kxt{It{bA?mIOBf>emF(?e+YnK0D>iuiD&M<Fsxxm
z@8W?hw(`S1g(lld8K=RwG#r)uF{xC<d?R5+o-7lkBqO)Dpx9sq*3durWWl)XhL?Pc
zsW1MAvCzVkWQyPJn%+#Cy}hQIPrTdNJlodP)qVA03$x>D{QNXn?AXw6wXAIWXY`%c
zmNUY??><E1#d~OtD=@K8%l>z+08leqs4vn$jT<q1+w03;YOlXloo)_@KtK!E5DBr1
zmpcc0iU1MzoSMu$GxYZ$cw0x8|8WU_r5Y4JMxZj`Hhdqc|N75}A16^i6f(LM;>6*^
z=)YQ(xZUO1me|^0@Do9SEOnf!3qvH{Pq7)KPq7{h?ULk<9;UcPtiG(l+hzHWp9FXg
zuW~}bYPHRe^n(AH{r7bwGkI5q>)P7aBh{x%i|*!E-VH`s&0E9D?(viw39a|GejZ>H
z+p$miwov`h^t2_C-xK_6OMZWbl&v)X%p2<Wj|7AgGH6=iTd#OSYwJBO`0OW!fBRmK
zsi=rm7s41P?oY3YAV5Lt_R^xicIM<lhA!JEPmH<N8sVnZ<R9#R6&Au1ZLlV8pz`lz
zkCDu_(Ig!jE%dLjB$`ETEhcnq$7*fAI3I?df~}WS?~ex3Cd$L2z;R|)cp~|Y8zb@$
z{v{wis$g;>y;Dufhkt{o5J^_C@yT%zzft`&im_dsLx~`ow(PWQpNpED?O>rPU1N)j
zEx<hZ@>nzB+VlT2m?Q$5lw{(69}N|u>J;hPyYx`a-M^^#UPy!FZZgYYBIY&<a-Wz6
zn#lsf?xlqWX7s*^lWsigzKw6odqI}d6@Ltin+^e_zW8*%=ID>7=1;Muxj4SI_?<yc
zmn0g6Msmk<?!YC7#btBe#U>3M$%JDEN@N`RAgEim%)m7S6s7?Abd%Q-aT(#AR$-XU
zZd6ST;}#A3cN>Ht6$t~D@k<a2TgSgoJJV6aHRHbfZ%w8Zm5;`s%7LVA`W5CT&U5@H
z?(bTNAW!U5i#ATIiXHtii;5fe6>}YylAZKgXl@0(9TbCI!F*r52XDBH=4AhvJZ`!w
zuq4Kbg-X^xp5iG}hnv+;n>5qh4&=@!-{mTps0LpQ`P)KuQ6M!6@rBz9IomVQp}an|
z9A!WOeT(<LT1U{z{*TnO&+yT+v|^Uy($&%Pb2PRFqU3)W`o7Z#7cd(dnVa<g$UPnB
z2C%GQV7D2zaNnNgOc&xYY7|Md-f2Ob>`gMK0NYetmr_Vy<mp*>hj+VOw%-ETYfXh!
zU)D?%st^$-3Qn<u+#aw3ElvJbv65gsO*$uEJnTQdEQ#93+);FJU_X^w$OxLdlDoPo
z2?H!tm<CAB<JlOc6SyYQ+DlbM<e0Rt1&dNGtXLgQ^Ivl<iJ+Ys;tWlPG>mnt{A=>!
zh(c-bb4MID-Uw|U-<UO%)cE0YG?YZ1w?@LYSqYsl%`~n&rgd#ik4hDXUzq(@7XQDU
zpZA>+PqE!xra~r~3(=n+-UwM19et^(iNJ}fk<M1n9hzHXguw1XMK5OlUg~eR=ZhNP
zVB0N8sBrv2)pDfKZ@mjS6t<IZfD6Kn?N(jx2al7Q&qedoYi{+4#S<e|=PC}=1dQvS
zd2ZFksh~#q8iLKO{tyD(#v>%dWOz5v`QtyHYKKdfvU1t`={BFmOxiB3<Zs(7MW0SC
zA~HY0C;+jNYJhV$^d;{qoZ9#oJkOxKV(3Fie5=fE$!taca;Q@PP@%zy(J24$?3V)U
zRFz$2nJxewjPj;WC&QOO{w!xyf=N#L)tp9E7D3HHfEL^mFv;;d@lMOK@wBhH`)6LJ
zI{?c;R~O$&e>suAgV={?h7S<-CyEMLUb3p+Z<g;u%F-%^Rj{!N9=Thk(lZf`f-+vR
zXS+Wvw@dx|jbAUP`vB<#ys>$ff3)U9G}VU)!`N2xu>Qr34eg3=y{;M2eiot(e~>!`
z6~5a1#iN0><d0Q`;}A!~MUn*ZUYc^y{rhL?P_AFwfL1X1599gAynp?)K?Y_q;zCsR
zUu5PFasgh%|3At<*5|+MhySnAr4edTtdUzTw%-1)jQyeFe(M4y4L}!=JK-R}#`6`l
zgM;q{*R2Tu6z{+G#$V#b5HC5<YxK3L++*j*7mxLCiM4^(=e6!zqaHv(>yPpAL_&7M
z^p_RJIfNX>*+4G@Z36=Xcb$3Yf0NdK2UU{;z8}|+oY8aGc46$do~Qs}sc20qQp<X2
zg-eSm0bdT=o-%M&Yinzh6Qo?DSN&rX{mDdNw=BN__B18!>X`U7tJvjwvL!Ms$9pk@
z-)TO*{c5L#hTM6!y6|leIE{nDAT{4b9!4ycrTWk2|8FyF{0QhW9}FLTJA}k^lHOQC
zHsy;2Z<DJ7?~W`=zn`CKZ6}Io2s_TE3~YgtK6>v*t6Y-&(f=ErIiCVXQz4op)Mu$Z
z(DveB!Pdov(<tb2W4jv6&cYM1HIkLa?=Yhoz9tienQ|60OG@`$6)By>`F*D>?q_TF
zvv@U&jMh{n>W>t5D0ouTd#v?%u4)xeAEMg0L%S^KKRT*UiI_M2iWGh&Pd<1btq&$|
zFL#A)6ngTitE93jz3my-9LW)B*rR3ONruB=Yx%9+N8?R|x##ESE3{-X2y3bjT1tZY
zh5T!h0d3n`!Br_T6`ZgyK;tKgK$I>yLunvAv-zmKbhbe-w326!UEH;_Z(Q#dU6pzd
zqh-w>-i{uiUz679i}W?Hqq3`V<b<Y~Hq@0NWM4;OExT=2$y5(v<wV+<oWDy@)<tbq
zOIr3u%ym`v(xnFwlQD28vVDIX31GZxTEAgx`L-fXcj_k!Y^;QhyR>>4971uT+$Rrv
z`pU#4454-btGIS#r{n8dBhIx;QO%>80}4s^4N3-C623Tgmp}ULYfUOd&*J%p^2dda
zyART(sJs@ImQ1D=`jH1-oimv`*n>HL!0cMz;?4PO*(Fq&7;O4&muyE~8LR2uiodu?
zq@+?a20jL=2ui5_Awsxi*HGtbe-TYJU}hlpGRwrXgH$5k9b=A+n3$<P>K2xBt;-Qq
zU@kI$X*Ul&d<S_srqeONH#-H@T{qzf>Mau^vX!r<c;-lMt@74h4&*9+K2S}OAlmP?
z@CkyUGyRrogMytBM$0~5DH1?!0QC)^`jl!bB>3i@=Fsj3)V%I`vJsXeh$H_z6)GA9
ztq`M}Cf=<#4w9i*Bh^ZS3hwESrR8Yd5&6oBS5Zx``<yjT9?BTm(YZz{8;BW?L>-17
zg}x3R#~iq{Ybx<o>p#@$fI5EQiyydinH%q?V($=?m<mu*AO?$(?DHwOmqA-gu3=*J
zA94@FE5&Y%;F6;{YpHM7PE8!!>#k|rh8vUy_~iZX<=w?rr&{`LPKX^zz;X(gOPZEn
z#f)1dhQI-|!k0LoX_sKWaEX3OBO{|N=#pLbC!e@_he`W1>GgZk4K4rjW|Lb=-#)L;
z?sWt97qnt?@>^eF@_62jqPsa2VlP`v3{s)D<NXzCOE$r*zRAc-Q46rwRQFMLJd|sT
z&|^&9{*}?>B^TG#0Dzs}Z923v6SM8{i;ZWaHHdedo3n2S@8x{WL?ET|WF47@Haqy!
zpYCQBWKrZ+wQvWRPtVR$<R6C$ez^UHY%Sf>m+CVfop7>NWobH8=e;+hmD-LPMwZYz
zB7^V_b@?-#OwemjFS_5s*TIO)L3YG_P3pm%xl73YiZ`&C{hgLMDKE34kVtXfsz2+%
z%&X~t{=ByDs$Kqvr~nA5QtIl%47IomQ2B7x2}5!)mci{jKk}cUylu}B@!q+PEZB&K
zF@)T5op;{ZxMPtEY6g7VKlDlF?|6kULuroXkZ{N<wA0v-nsiN+`Jf$hAB!ye^GC%S
zHbsr~cV7wJuTHmZVXJ+X?@855{1y*!8^0r&A&Z3}i`Wun)?cDL3}C-Y=;RQ_z)iP7
zc<cVQ2ZPiH+u@gD0TRM3C0N;t$HwS$yW88$W;yK|{*A;)>EUwAuV?$x^}V@v_V^f4
zLWwW9V;87_L<u%2dI|n;wouKDpMPF?nWCsNL{zL>i&L{8Y&3bqZrKXr!WBYitS|tl
z?bn<t)z>bk=+|ZoTcUUQgw~6QyMHL1%zyt10cy;KbHSJtaxRcq+xAinVdkTwvlusJ
z%Xg&HV4}>*O97gXw|sePP3TIJb1m;ZM*Ia4W~iXFxzUf;DooX1401p`v7>QpeKVtp
z4X=5{f?~$B)va2MP!rR+kGTGuBLCOa;KJ*XUXUs%VUK&C@6Fl*)06vbsU|ojALDYg
z+|`Rx7<@3_B&Qkg?(|3G`d>UKz_H^8+^qao+TmrRN>eF)JmRPDwu?m;s?@Y)Ic0--
z2WAeu3?6HBecU%?66oag7WscT|NnJjc=DYa4E-Ubu0CfwliSU^<t)xk0S8T6kSg<m
zp^Jt^KbDbP35hb3j&_HE_ial5Z61G&rAi!HFA6?84L2%_X8&b|Pw%b|ixsE>dE1VM
zSS;%~cd<G2tLem!IuUJ8Hb*QOU=e!BjnSO12>wTJ=$9c~#U}oiwm+QP;mQCbc79-w
zYvQ|+veD;3#_yo0kU+_{i(P}?*X+3qskQ{Oe^c4**E9S-T+`1gKw`<WD(-+fxe5gt
zIYx2#IsRWq7XQr~`R(#1X9Kx{ffMAqy1K&h@^aWPr1k$;JZh*do*MxN&F@$LXTK#m
zDTD@A(8@-r{J$Cd_np1JFe1dG#($)3{*4QM6T7p34oDL+JI6*O{ZF(0{b^3FU$Jpy
zjqYDr_CL7v_fJk{G$ve)p*gcp|Hq;*ejOC8?CJa;e^CbHF!{J%kLiD7q9g*I4B!fw
z3Htx9e3nE=PLdobU`>f2P3i>NS%91B>+4_Kid!IPD4Jp*b=QAYs%rWq-HX-YfbacT
zRFpl`59w?D<j;V!>~r11m5Xs))U1*svY{dxC%8BSgP<WZcZpszL2^d>%#hZf)bYly
zJ;>P+L1&J{nXF`!;scox?P{YV1;T6Eo>{rxk|Yva(p9;u708Q|ix#9vnh>!k)+(>v
zCq*MwwBPMsY%*%rCCb-py(4--+Q&Gm2a#QzETeHv>BomtMsf)XrbFlEiY24jR$tIz
zdwBuwD6b>*NJ5ZWTs>N&ASdRmemFUy)8!n$Ucj(*P?txAS09bHy6_bhk*mTE3!{Aw
z+w?lMW*uYuz@27c><M&9Gh9?0KeRIE)93)~t?usiYCzk*9^?mjz<fl7+QFicRK9f_
z-l({y=PTF@qCyW{33xrT<O1t=bDZEs39U?AvEzaGOa{=5G}KARtv;Jny2&96JYFCC
zF+H7zNhNM5E+!^s`%Cfs$Io$>HCv=B&y&kSLi(xs1OuZ0k5RpVRw2G1Um>9g&>^WB
z-rn9jJ3GRMD@d?t|Gk+ikLAu#?vH@UaO&odJ`9Ufa?vif!8!6BNTA|q$LtUYzPsVI
z9?f>ITL}RCc%eD-2caCj#yyPkGQRAICUoCJ9`NJydjhI%wWE?TfFw6QKHfdgXoiYk
z+3<$?T<HdofLx-6E_yNgQ0WK$dHa1J8*f`}n2AhX@ys)RA{Z=jhLWH7obeUf58Tet
zN|r09@pd-=DBfpDu0<x{z#TwdPvFQZUS&)M)}z0n@ltBF%S==i{md41JtFndE;x>>
z63f8`P`j4%nq?a{1GEM7_rxs8_n%~<l!LK56g%E?sfuNl8BZUMsC=Bdt4t&oz_2DO
zkPE)tDXCB<g<1s|Oy=S+1~51ZItpE>)~*Fi-(^m>N0#W%n9QKwp|u#)+Kl^p;a_r6
zb}1Y`eNrFRcKl`f?&Us~S|so5C5NaQSfi5zL3CIz-J;tB2}Z!xcJa1G@Rc^S+0%Yj
zA;h4~&$D^Ieh#vcW@3ztBAlxfKwB(1ZgaC3c(HJLwOdh4A>#F6l+dd_;PTkxY*M$_
zzM_r4Os^{MM|eCj%mi@fPls44K8zCAE1Ne0@qx$f*>o|zN-BPp#p4$XH0rnrlk%r^
z)5a|I5jkR~-(|K_4V;8@l>^LX7Sl|E^hvdlNz;t|Y?}|7cOj8a$dto;*h7EwEsxAA
zlEZ)PoxqTHJj`YFSIlrOD-x?Y>?(YJ*m|OFo9w+0)sZC<c7zX(WC^6zXQ*dLA<#bU
z1ll2`VFilq#bS!#Jv_3U!I!4o=elhLVz!h<=eDz#(Dp!o9EGD`AiCNH`5!O`eZN~)
z{MPU?yE3}X|Dwn`H?SVgiBy|=cUo*aTWz^@ONt?J0kknG+yeQt2i{$7$x(MPOqc2>
zmp5%@dH@pyT`cn}2Hn60wll0j%wBPgabt#cb~><kr%zyCBB$uE&l`g8?@r-s2}ERF
z6$^g5W!qm%%7w8W?{l3;Y22*Fa*UEClmbQ%-bbA9{(U=b&}q$>ILrA(7YfyfDsCFe
z^8vo{*5e^=`DnLnZz=CgkmS7g-gY063G13s!0Z!&c})i-oCf2!cPk|o?U|t9yGt_#
zfu#U<C7BM6ezv#1r|8=<LGYERjn^c%lKtH?RMSt}Kk=c3->&3W(mI5@_9X<J=0m2@
zMc!a8Rnhl1&9GoG*#yJVY`AQKPcOfQqS((+*1wCCk-)ufSx-`l>5xr(jk}~6Mgvn+
zGFtap`R<}AO47N)sc0G!a*~H5OYFM2Dc7#04L^SCgxaeicJ_kA15#yu6k@(ANWo8z
zuhBZ=7649V+b&EqR?ZDLRw6Mqjh(A^WO;*zc`zz+$VySo9M_kp!5L~Jd$BjGjnu-J
z8&ExCtV3Ny8~OgtK37O56$G~Wh4sm^`r!}(WbDK(B;7u++EauXvO88`3sjQYVz?L*
zfv^EOA*-TF8arFqB+!gRqV1>~z3@rD21GwLiooMXrGl^(G8%?Lh*vVo6L?L-Qc#P>
z4o;LWHd!*l&l#T1g4@1!!MoE54WhYT_2`5rhx1J}Z(WAry)XCiFcmsHM<>`J&gOd|
zIZxNQKdyImV+9?Bok*Jc!+8Q|!t^Qc%(ZLV3M^A`_u2Ev*07*@kY$!ZyoZ@x%t48~
zs9tbL1UeC+K_9zg+L+AZsYskr6;NsoxG*pFu!19QVJ<1yG-zfV2wZD8NCbP2$l_qA
zUXdT8#B}5Y!f|ex%q^{I)(~+Ds`PJIFR4FpwsX~DKHPhJ-z&p%ir*`6<$StkV=!H2
zpu1<zL<1iM#G$6P=@f?q@kA3b>ucmfi+5U-9b9B|oZTF(D&A=fMB}=96ee~y6oA{g
zPi_9fAskJ!w#3G#Hf%<buQGw7XX?ljw(H<PEXL4JTifvzKN)$BL7axG9Y>@Gi(B1l
zO7!l1^b13Gy8Q~{YCm0uZEte5VZB#PZkEk!@ggzQal`||X4zO_FF>Ub=2&^Jq?ZF`
zYR?gPL4vr#R;X@VWbx|c@sAC9J{h_85y%DPC-<v9$eu#P5`BLFc$*L=Zo$sWTUbIc
zE5Fi!dRBIUKwuJKto(;i1}rL@<)3;wxkv7x&<8bHQ{_fkcRLk#UorHe?@LT>zw+ks
zf_UGf`Xi(9(u4$?eZM;D!AirN4#N`HyP-PoNxn0=StTl5>yso*j31>$#0c2ve@8ZP
zd$D8^KtmyMLlsmdfE7RxO{R5Wh%M<NbJ~Yo#c@MYk5{u#>;fq|j-?!>tsiH!2#GCQ
z^qe-blnl|hSvU;R4HpZ?gIZjLBcm;^RWd>+u@|w2q`#HjS&+VZ>x#i&C3fX9Lzjn&
zKoykKP7|gx3X>#+z01|5eP*5oAEmm74_KDI3A|sy3T6sagmC&;vgT_}lX{Wd1|#7*
zB*0`*J5I;2B`c|<QHkOdDs>!~`)P+wx4Ir}`$|S0fqjs!dr})Q#S^0+sbZTJQPeD4
z7Cu@df>iCHnQy$Mnznx@G7hc7xb8u|jJN5Z$+HWt3-9)_bzghR?uYJ$k2RnuBO1Wa
zk@u16ZCMb|ijrduueaUg{%YFN483Eh(;AYhuvj<k(Q%3Tag7Tngr8ukuZKGT3k#>R
z1A0!h@aV~-;K<->VDftX__c+#9dRneVc*Bh8AN>(8O1Tl=$>?7?u@Kqhp#Q&YzkPm
zcBenm%0OwQ1)4$Ae)33MTOMv4<jus8&#)Sm3?&<BN`D#u@Hm-N#F*$ZQmqSog7nzH
zOa%p$i^R>7^AKqiNh>^(fH7Q>s3sMA8_vv1!IdiBrNw0s68Z?yc#qI}L(=mxX`kFP
z?sv?HO2XP6{qQdmIX8Bul`7@~69K)Z4p>>e7qA?6)P4+Eg6NX<8)KCR{`qSW6?x|U
z)eJWXZx|1dp!&#oy(=QpsEEi8+*b6j^D#)BnzxIRP_Uc^v4RJw3+fT|43IAjvL4h(
zR}w%?f|TEiak-#MA-={8?ss6=BbdwYP-sy$497)SBB4IwOjAOtqRa^!pQ^9;EOw5^
zADQ!7;%&3&&jjrHH@W5^%1c<+W|c}y@A)$hF`jSVuWWroH&HZ<pGfN^^bG;)MewK3
zs=N(?>+K1Iw>6f}Z8COpQ2YE$knES??5~|6sSh)W)pQo^-ZR-t@gfnCxA{cTFJNYJ
zdW*eXsQ}$+Ic#r<Q>&D4Ak30om#LJo*}RHR3G+E|t`ggeVY`b#!GhDsiUcfbhH|mp
zJ(j}!ULJ$}cQ1hZNU`zq$bH#Y^)m!m5|tZz#!=$5=OajndkIxfZdGLLaXQ5-b1R=f
z6&zxf=xaM(D@aA$QDd3Gj9Bfv5ntU<b-2i)#Gx^X#=YwljNs2|eXBtZb%4OWBP@O6
zaH&$eLvFltkxKLtlqR|qRewj4#ao0*b3^wgEB4cC^0ua$$Z=D0-k^Xj<`gM}{HGye
zPc2L}L_-yPda7KqNwR0i&-=yWF|!K7<gMSqF&@w?hY0qYhK90^#@{9i7JTb*w8#C3
zsGtxVkDtS4^_lkLQ4RnhlMfp}<Z(z)Ck`$CIz#29AP!dx12P*Q!}`NGZeG-W!H})u
za=@IEzS$6I$Iev<KrZm;)YHJ=N{A=9_830OS&w?+R(|C^BX0>a1jgU*tH+MCWyDd3
z$3HRCeM&rmQlRnnFrT7-x-SkJYIPNaAx>=gU7jbMPmvnc)ckGD3<iIMh78k+wuoZi
zD0ZkXJSKrw{9&*n<>~g3E5J>K&c$!&{tQnL&_V;t2N4Z#81~(3w+yG-Uw8eez3;p2
z3tp*7zl^K|_muizYt>2Yp=EtyD`YE=SHRvf6P2D*^H+TZ;bf4aX23MJgt%qza@Vh9
z!e90e)lQ0b@&T3u(1cM&oK?{%7NXy=?sXE7`1>8aWX&j3U&{=eRy=tf43}Bul!^$V
zet4a4WOa;>r{|+-X2XU6m+XJ|whqn*?bkytHkNqjg)5ad`x7p)`rXRR8Wzh9wSjJ-
z&JZ~A^T*%!9H7qpKkU6{IGkPE{;h>^X)`1`!ypJUM56aDh$OBk(TNtlx6#{(UZO-x
z5RyogC?Pt-L~p_9HAFY+=>OCGyie|H`@hfg`F%g!U)P3A*12Y#$FZ;9zAx#m2VMyQ
z!%lh^j)i64o^h6{T2ZsK%MX1JVteZzDL?2FsnZS;qa}>_?W2`{M?aNU4o|WzdiUpF
zs}L&2ay|#JO(dbh?pw=<iwI<BWr0v^JewC|8;C_r=3m=;pSi5Z9@Kxc0@fy^m=kiF
z#jjtF>48JC%FX(A>k4s#CP)zSf*m}91hi%(p5yJBHd<_0O<D+_>=n9m*V*GcSZp@{
z)p2ZYi0oz$M?EN4k01KjZlhwzvO4qdZ5m#vvNNp^?jxIU@X4(kXBdVaO*40#A_{_l
zqOs|ke<4Hg&Op8xo-l&R8NaZEN&EUaMxt`6O~C5nMSaylE`H9s`ce^NpefZ_1VVM7
zhg1t4JJHHhnkJarfe^{hGR#Z#zOGsq76Myim||n4?DoKNID$@u2Ds-^EFRoOCMF&w
z04bLqW_KHWw6p_WE*FSL>x-X;IB+=c6*?nlEQ3&@z|-sm;rLk}o6%ulQ-1hatz))|
zCsvdxy1VubG<aw7oSjZ3A@?zyt96g0{^p=;O0hIQ7P?)!>RsY{+UN^1v&Y>(b(!{d
zxM3WDl^><VJ!+1tAX(itz%UBWGC=oP@}e-)S!YOG^{#6+2g}yoBVEVJ3h&9lK;MuH
z<u?l;K58n}->|&ZB1=t&IxLnZiib8bYN=Job;%JI8ap)vZi)YGi~UHPeN$T|GZQ5q
z{vw-Md!s^Q6T<z>)2$FK4uRG$TPDhJ5MZdhLIu%&CLp&4(hQZ?2CCH*jILNu3~OM;
z<b-A35~diY&awU_fHJFXJKwScFJ%WOX^pqEq!7ClEwe#?Pwj0^+#?w;-D+uMr{X;X
zw}`%d{THp7$#D)j!!At?B`F80B>F54LALiZRwATfgbw$@#fkHuofSymhSv;v|GZp>
zIQLmr#UVgAUc^nWr|?0qy?1alJqIg_nywiw)IUNS6*qLdav=Do<mV#NDNf43p+P^Q
z@(?hh-MYMWQt+ow_<gAsE2&VH5m}V8g$?FrAjE%#c^sA)=_RvAer9QZU2owv@rMh)
zG#NPhqy)48_68g)9fh~z&2`M1M{x&a*r2MO(T(se^Yp@Y-HPV&p_i<I&X0g9&Cw#<
z*5BSSF+i8NC4H#hsV9Y4t%uw!-aYrd)Ec*iM(k_57}9D-uWDzcv_+74!ISufnpdcH
z$oC(sLLeupck3Sc`t(%s#AsCU*gP!PkTf<`?tUPKR)JJF)8|!$@FKTxFY&vfSbU{X
zh%3eLklm7^;t%dUW;=%1@#jS4ToP9e(ixFpNyWsNOm@uQL=L1`pC%2m6D%FNbb{!A
zPE#ra9rY5*K`Zc1--ut}9UnWBPNIr}JCj2UOQZoFyCpESWvIvxvuAU3e@~0Rf+_ao
z<;;VlS?(Fe%ir)qIV6MEckPD8+b=(D!ROYfzH%8qFew0X+dM&LHaMQmu$JSO$ctTL
z47C?6I=V;bD4OQPC3^?6`q-}RZnUa6`4?5TP55@uXzBXUht3!*NP}olWnV)W!GWKZ
zKcI@}>`roah^EQU4p6kMasmMocd!im4!+MyrcHNGbn|}BPHGdhIh_8^JXM9jIddKe
zfj-(TFv=1`yu5gc@}8Ooo^yHYr=a|?syq<N9Lnz=%Cfkje>YUdm>;bMO*)LuWYK1$
z!1phy7B~`rls#0{{0enrZTSM8O~!@7A0;Lih#wK8o?{DfR%FYj70$F}Gf0SL(ELo*
z;~>!=WxVLJPU_0s4jB^Mi<WBEs?(fmAOipP!ROxKtstgxey?(~)ye10E9nj$j9BDO
zd#4!Mn_#LO?N=$4mHzet6CXZ;K^s%SCt>D2<EfX~5ib|Jv$$%26R$ZxC_moRZm4BF
z(%YD7yW6fhmJ78P*BWmi!c`M(xbMk@PPhgg*#zlY-x6Lz%JZ&XWz2c>5&ku4fnf5A
zC?g9Z$tjnv!I&P9PK;A#jR&geR3=U0Hzj~YA}JuBL{ylG^B@*%&$A-;nK=YpH))6~
z#-?<);0~W45y%05-i*;MpYZ5Av8onpc*9Z695P#;jSY5XqziOC@mJN%A>|+6-H9)1
zgEMAUwe^UeJma9z0}UNnD8@edEvW*UqrHU3M-42Cjdxxp1=hML`F-nC4n8v(kbTla
zpJ2v;A%jc3h-TePG<_rF`l^DoS#YUQJA0MJOPSR?Xw)91&rr{#bylKAKBUg<A|VEI
zx}#l_pA-YLB$x7RDTkS4yYq!qfZv97Xfx?UlkytB##1<tqn==Y<`SnyCU+*)g80M=
zY<F?}Ld3PGCCkK?$3(lPAa*1thP-l3EYd92r?>Z!L);<NlGfOAgf{AOH)e?bD;L!!
z)ssx(AvQowY%?A5S{%=4jlM7fo=mjpM^&><YT2E|t=~vbslEgf`oqZ=leTF@Eix6Y
zwU3rpbqT78b{)wdVm-4&9Pik>T3BK@+OQl6QpuNVd6yp>J_rYPC(Kyb9N=@zQ(=P~
z4AP}H@1I+u-1+d&pGwb#e{spKNuj!so?N2$ccDC6)IT8PfFfA!kTEPOjJB#W3v`Wy
zU$pSDNb92=rD2%oo>B^iaS6-m*0EY`--L9F8atY7(<?+3Fz&IhCsZ2z#`pC%z@Yk)
zNmzBU@vrg9Salx*77<0sSZ7P4HW^DA6E=<JBpLQCA+HGSSP?NbYS~UMW}On!dtd4)
zrb@WLOAtVE;1@;$B2K@BC8{G2Yc92imU6|DB!|*FdQ}ZzjEVNz;1&faCOhD4oA+bP
z%>?3vewp|vrUdhFd4O7yk{u|jKp8;(_0<W+-*65(o7zkLt92U?O!!&u5f@`j?njCV
zNmy5?z`P!snYE0Rx~Pe9g#mhN3tq6NnSo1QJiP@-B<#!34<UMG&d%GJT_;P>t6B`L
zOoIFU<k421ligOC06C$Xo(aHN5`7J-crwt!A1AR1_K%ISKqZJUoV8zdNW?5NpnoHW
zZl^@aUmuyZ?*@>I`1-;`B4>mW&GIHXaQBp6oO8`p@C7=lH475dptZlQ(OHz8HnT0&
zKtlWobsZ9Aphpo}qm{x4<|d(GRYoF-G|mDl`j8!F4ob($K%pO1V<P8_)s*$-Omiix
z(e1;M2NyB`AF!wKS0{&%c|<LwoNv<Vob^KfG<b9$1Glt7z_#{m!;@<xr&ib=+gtwp
z>x?WfJkLS_Pb6x`5)letmhw`T?9qHQxmi;B{gc$sUpe?d#j7mYM=wUOC3G^VSC|kT
zN4@@<W4PAQgy328--a6f3k3?!=FFk8OJNtTtY`0L-sk-CS&ni{imw6UW=X7!2>q30
zIR)}|zg3Ty&3GR?)p(J-WyycukSNb1n$4hv^r0uCBpD*IY!Rf_9K<nj3eplttt}TD
zofncx0s`if?`PZfJ)svMo}r}nqeYuCk0akV4-uOHV0iBqh9^gaxbghHLm{Od|1Xig
zpSR_T|C;mc5%_k~-%>#TsDdTXghqw}`a?!0X@aw%H@cr5ULVuS6NYEa#qm9n#OvjC
zC4u8L>5Oh(@~^5$B4&>dxpSH1mF9zCp9A#b#)Tz%{rRhM)pJ((sH-3&=M1GXo5YpJ
zA|!+%+(MfiubkH;jfP5KH=x%kp@wdXlNGDpqYbXGbf`KVwEST2-|&FcOnAs9Opg41
zL79qV{mao$i#_GMC<sAd;w1|KsSG7hbW-nnN)5K?s)q$}vJILSAKY5gSfu07GAdI#
zXij4fZtU0;ak#^(5H9T!TP<oS6)Ic8l7PpzsE6*xKra-m11xMnoSPh%?91i_LuC#O
z^SV{wmhCoch2VB7i=a&!@Vx$WY}45`A59^BidhiuJN*ExN~j6hbz`~9_cR%3A<#bI
za{lqMg?Y%WAup!q>3B5?XMi(f<~ifRz7N$+#}y{$h9^WO!wYocon<evR-;i>h~mDY
zFV@U7RCmf{H<RvTc-~l?Q~Wgf<~3(mT&;9_K_(s~PZWkc%=jJ44!#CWQZx3EF!H}X
zJ#wMeMZ>fd2!^7A09~|avRn)@)?)C@$=LPbXA+f`?Q%s%mCZQfgjNE0@;rSFdh)9n
zhms6&rAKF^TX+gMLivpufk#sYL)*Z2`ul@ELlwnKDmEL}av=~ft#44AarkPjP>5~5
zOInt6iC5N{RVBlcEm$q8(Y)CMLr!h0geOlC6a{au$zWHI?Ea3yNfLjms>aY=#y+CA
z+YQ2rr;*O%6R+-udGy;>PM~WjsOjVJyrLQf-AT_3E3LJ@12Si~65eJ^AQY%?m86J2
zpsc{%WU`Q%U7-5BOxz)Nz@~&JQGz1*idTz8@F$fgF+TLIgrIZAMNktz>!(F3Uyw=`
zGgVt@<I&_jHZF=w@RTK(=@NX8{OO4=Kb3QZ#@Iv70iO&F|9I1mChV8UF<3B9s99?o
z$#bdmwx-`3Sa3)H3bL8Bqb-G1GT6J@$?=&ircoEo0dm6JaTKuxPrB~4P^p+E;bLC{
z!O>MS7-$gHY3Epl{I+Ny8Pki{5DJSJoMLB1RRxB4i=P0y(w8+L-3ybsj61@mH=kSC
znPy@_6JC6dVHu)4Uh&qII{c|)#oXq03#X_gJto?D3C^p~Q`~^GT!MYEzE$54<+AZZ
zr4~?}P$vztj!D#sUn5uQY_rlT&nx9V=9Wl@47M$5;h3JT@^9PNm<q%5xf;i*ZqIUU
zgjpfO_FW#JE3l=`UcEgs(U!#i>b$4<Tm$kbV<9}G;)8@ej|5u=k*NKvTkI0*80t7^
z{EgN26dngMbm&sPrOMlOZPhJ6f)@xQoW*rdiJq|aCq?4p6B>leN_dASNfc5~Ts?n<
zm*dGOD)9)zfuDyCBkNxnFIQg-|E<BHN)pe#e?Q|2mvE&&Jcvn-?|j|Q6!%4*pdHdO
z`@44^9NN0PKOk$WM7fz%j0JjG{V~4IqH-Y=B|$zb;qy(=8l19{L>Q5Z0-k(^fg8xD
zs(`<)J@^*TCj2^6q>}!d6)}`HTsqAC!V6>}l+SV$1w#9dZK8B<EvhIqdoIqS%NfRM
zS3>SAGFOITZJKc%@P}uw21BkC&O7399k5FAlP*~*`!%xR{=H#AhjIzN3{rdyi%beB
zN%PgkPESvQdOJx-xJT8Tl&x?TEj~*8)L!bK?GhZh)-KfP0|@&)ig(8tt+VCx5+>3e
zAV<hB=g%w&f(-LVQ_k>3)~1BKtGS@7i(erEzI*euPl%Zkyi0Zy<K}A%t2e2pe1Q`i
zntZ0CVEBvAJxX{=5=v&BH6Rr3!MPQY!;QR-Fp|yafX(}?N`ty1#Fh!MT0UlH*Scz~
zVJ+<<>*Ybb<Tj7p54|(8?|sc3GUbG<xr^!LB$H1%$#E?~xTqkWqwtIJLP{#L3S|N+
z`pc8Nt2)q+1IXGcR&eS1{AFpnoZ~bCC+5KT4maL>>A6Ozat0)pU5UNv;@i5iq<nw#
zQuHG!TjK7!{fMwOHF}K2<A%5#{B7GYhRmO@t6gXw;*ltF$M)05@x(_K>)c0T7)9s^
z2_52#52adRtQ4GfE^eScG3jur+;SK-$A`pDwh$EnP}$^^snBj`Bn;1T`u_2LHnZY+
z3neM$wlG2YGYMaEh3FVHw9bUB9Fy^!J2f)%4NjQ#2dv-Rzp5U|gt^)Lxdm>aBP7Ol
zcT31niCV&f{5eFSTox!XID+RaTGY+h<o#c139+>dL}+1SgdF~o?IM>rMIe31@6*$R
z>8{Wyd}4;0#`YxVoc*dS#P4GERJK?1Wf?c3*h0SyrMZ#IMg_GWn>%M01ia7T5_}Te
z%2SzEK4WWHAv!!L6U8D-zw*7&mzc&5oK_e4?hs^VDwQg?X|-}YpV2~9>Ktv2L6@=f
z&{*gi7hpj(5i=0Xp80er)i1@jvOmb)W=K7*o^Tt!dLD`wAj$e+FELbvR&pL+z!ARs
zduPZgGM9P@QiBtdG1s$&<K)jdYt-kZYBZ)|TVi+G=aO0Tx@$9z#BU!|6M69Y#^Z^!
zh6&xyM`1!`SY#--!lP;sXkGe*aK{BYyPyiL$)^a;6y4ve@7k5lVpxVrP_wp`4DE@L
zBH1->j_9&FE@6FjZ8=vFo_d1obJf4d0vq?vPLigxUJwc1WWE_jK>mtJ%ZAL7u~jSY
zMRkQ(N;F=7^dpA&h|c84o)lOX?wejwfNH%~t}Y{%TdvMHZ!5*EV=U0~lO22%G1oru
zj3gby8AiDozmMt=S$m5e;(nBKCS~xD@hDPjVSLvHCnRy{P$Cj>u>g<Oh@yhNnlUeS
zz$UbNpl)ka3!pjKf~C#fare#{Yi=FUi75LsibQ-Frs9+_JdMI|w~=8hfM@=Rs9b0>
zoa8SD#d9{wRS>8F^SD<5O<4hCONSY4{$;9W7;DOzFbTGNy&HpZEHpQSYdNxRi$X(o
z4Hn9Ft)2x%8k<2eWHpg26<px~y3I6Hc~Jto7c7ph82<6LG;A~iS9)=)P~aFU5^lUp
z>i^f7CG-rHwi~240lEY?M>dXbtR_*p<_oM!`kMPM#|+%Bx{dEZ7<AK-*9#B>n^d8c
zKqfC7*_ce(tdi{m4*4=RX@`N@(Pz!eVtp}ppu?RHn5J*cM)vwW4gzj_3r;TnpDB#z
z33vq4AflQvLd!UGPK$C)wL7drhobXh%mhO&ls)-&<P+E8r9S9q<(GGRA19|DuYGcj
z>_#t9)02j%P*_W!jU1^cjEWrsKft|6VWo4pNOkMm?4i`{kUJrMN2rr`4xdcU-!1Bv
zEgg?>Jsz<BbpPd6vB~+Q*ysTQs_|x0Y8nte4jl@f>p0lgidADv&Jbnkfnr%-`r0p6
zI3Ev)e0spr{b<prFyZ3mB#zb9BG0h^H|i7U?DVhSvfM0u$*0&+*7>n$)xYt6+~Rmq
zLV)rjn~-viWnGs};Y-?m7!7@iW88xo<<iphJOv`g3H<_hoe!^QJ(I!oU!>ziE;&CI
zbz~G0sn}~5#L23cI9A+FY_WB;uEKuo)*senBY=BCNMlhVD%8bKZZ$ccs`&aly`;g_
z)CeUXa6}7N^FBYVpr-%g7%L+4i&5i^-{HxM#nVFz-~W}#1yHUx0L$a5Gpoz@4@1cR
zg#nwrxMpoTyY&BO8t8iTKY!(aUeo{onin}$ow4qR|FAr0f<i`$wTl5zCRIBqD5%aF
zfXf$s!Z9{I#g&!9ec9r|)!)9Urka0S_6E2ck8>Q>O<?%=;D9{K>66l1Cv-fEMp#(b
z$AW@_pN{ttcdey)&lcLFMu7Vihd&!sKGoCHs~e!J)HE^tHz#K1alM$(J(zzirdtGr
zgoJAVUhq)Tdz;@7HT~Q*#S#HVihna}4fXi-S}*?LvU0GL+p^l}`ToENfOcg1`TLIm
z75j6d(TA=@n|kX<3sF$oBzhSjqWqDtb#KPO;X-T6<;B^^*cU^Mi827DfKh9oh8oKK
zo9+tP2P`moQSB`M7#af0ah`8h4h#bU+ZnTgXIn6002)f4XzQiFEqIphGg73*r+|H?
zXZ%|C%kyVSi{ON)`r9yU2qDR^<W5712|%oP3`idrzSl@E0xqc0UNb0pa%Eia^*-og
zJV@ZMZXuHC8u5Fj#=IJ}<X+JamGJm5og#a&rfqi(oz8ss{1vEq<YvlmVxsqF&NOwe
z(X_*U{kwlYso)Kepd`JkOMkZbHL0o$vOXcTrh`iPl>ZDisOXJX{;e#fgi#h`b(C`e
zZnE@-6l7L(^RIlotJ0S6i?Io}7*l1{lcv<D?*zlS1l}VF_h+RPO!4V^^FZf$d0ua}
zK-M4d9)Mo~zx;jk{eL;U|3w9AX$EsaN&yQ%mDkqfJ;RKNc7ACrfHI^{bRcVG&n5<j
zPY*YGp0~Yaqf~GuTKpO5x5(4RYiAHc&tA<~ERwJ;zE>(eP%$aS%%L<b20gRsr_3pR
zBeK{jviIr&^OYDI&mwsZH8Q6gxv78O{Myqm@ZgF6mYV3_fv!y=GcH*4n|KoZYo>z=
zzqEGo6-0oY+NwmaNQ~}Rv}0p!HiyjW%MprOvcu(HitKOZ)&84}9NYx{Gg%juhO&RA
z(gmNCZTf2iQ63271;pdjA>Z~2S{J!Gnpq3Mr7XvUgrA<Bp1u<M?y}HU^`a~Jo?_jb
z+u>3*Sn2-C0SBWr$NAH1{{u9>@@Ge`wEr+L+arMSL!)kGAkQ?-V_w-liB8zhfGOia
zLRW!knZM>qm$0?6FvpwI-NlB<mR{@b7S9i4AwGZ~;!d8QJvo}+BHYvZMP)cK77}aT
z&e&^|)v&-ITx0%s{gLpvC9U_**K`Z)pY%2!W>3l)FMM^LYuYpK6wx%Rbo<qv+$2JA
zHZ8l&Qd#c{k~3QGqrUlBr&p#S6wWWM$|zO_kX6&GKeF6fSZ7nC&dn8!%}oNz!FE5G
zWKu)y+ft%HE}SgzA&x{*tAhAx=-!gl8V}hK*|DD&<G9<ujk0etfmep`obkrLog=rA
zcra%CAxfdUX`vw3c=u5;glg}ym1ADusU3s_LJYZWkQ+)jRe`|IH|B2yuWkH_*u??2
zOuna*!Lb1@3ejtDNjY4JXC}?&d(+kBnH_L-fU=sBk@8z5OvCwJPmI1=9V7)}58UT^
z@-=>M>)V`(lErYO3-g-3KOKI?*C%(wpX~(!2w4wfpHaHp$;SbJ_v-d*d^VJ94|@qC
z;?RXXg_*!MJD)d~HDCHc9zcS4MOQPc8(o(=VQzX8Y<F}b0S>Fo0iq2_gV=xM6HYD3
zcjPs@Oz?0y1K=u+3w6~Aa5}H3aL36b6A0J^Vx%}2LDnXP)(;HzKW*FzC@bWED}c70
z8?Y*;%PHE!09^8Tz1??R)#PXTSGH+tXsc+3PW&gaggDnZ+0)+zdkd`Q{>Uz%$tcUr
zj2mR8;w%>(tFj*3e}B>uWfXI|_jnOtm~}YgnKpI*pRFJyjbqnSyX@B|r-*+5)txbN
zppa$s@p|APBeUwcqUN%dcY^Gt&x9)TN;|(csvE#_gdJxa#AkpuO_}HOU#MlY3<2*6
z`&}6<ie{~DHJ1+!p@C%7QI4Cfk)cdcib{qkJCmBI4Bxqc<M)!=wFSsbP))Cjm53nh
zw%rdXma!uF9GLc@lcFrAhyP;1qVS@3PcW7VufGafW@LV5N5GWaw7O#j4RW5u4yqeu
zsK>Fz48GE5Ih5yDrdKIc7E>u#AyNr%`juwb?Fn|Sqg@n%c1t_YHnh=T8Cui6U#pN@
zTA&?ZmCgYx<KUXAxz_?>PdoQfXFL4$M)rJxN@GHekfuMyS#VJ~yupDALhI$=T)$Pb
z{spce;3@ax_70#qRS2@n((f+H41Y}!)SM4=iQRWm!M#66EdXomxLJFr>C9=N^{`IW
zh-t;)x*bj@p~U>vJ0BA8ggC<@s(ew>m+{YwU9JT13_6WUIye5A{FWQA;6x0M;0EoJ
z*O|?ruf4ATLB>AjLzly2CG~JA>;8L|=>~c1pcMECN9<QCTK>>`1VW+Q!q(9VgX*(o
z4SNqEWDp?;Jp>AQ0a3}UekFzk`L|PuX4A-akzf-yQsTb~jof@kH^i`z%Fw#3>W8xG
z?%}skGO<40Bal$iLOmQ#qzy^lh*Hx$$s~=zs9&h52Bz*@6Oq18gZA>7nTvaO+2P%4
z6I~<~X&X8si*5KrH<NCS{Y=m7?&U0!NyV3cy~oa<LTS#jkS4YqhkG^n&;X2rG%2bn
z|4`vic+d2MDG55n#Gdh$I_fKyoyD*pJxrUOAa}BW`fREcxJ@z#aj*N9O7bW*DRZ%x
z-kMkl*iEoG67HtpRPlIY;0D*;qLn}w$8NNAnE1)zij^|%ZyR3Ky6HdO&JbPpw`%{F
zNglX745bh*5iT44EPN=6)$hakPv}tcL@qx*w#W4HD<~Y4ibNpGkbcYZX6nRy^3zIS
zrTfZ1URVo;LKWbZHjsM|>7d;(=uIqy9gIyE6Dsflh`?WOdTCb}iHNk7(AS7cp=ICm
zv<Nwjl817ywTM87C318*M!$>SGTgaa?LsX^&cOH^gE`FtjeJTKvc2#<0#ufo$55GS
z4io|J8$h3tqq}m<w}Vh_;Vb%!AxpBSLkZoR278MV$j)7JmAf!uD+SKmvg@IV{ihAU
z*5Z7U2)A1Ai#1bdgajC*h1jQX!vq}aOhFUO+$~g;seJlrG&WZpj)zjNU<Zg3FO{!x
z(8b{|lY1o$Nm*apvQ87>{B<IgNxXEGeVJTwJd~E*kD7WrS7w3DjXEW5!=17<D-+WT
z<2Gh4OB>z!Q(nD&eI1rCJX2HpXJ{TqEr;Y_<A)7)Iv5d|g)7Q1EAl9z6wj5WmE<@n
z*OuCal(el|VHQW$@-(h#6OGFukAL*)pmeQMzKRGaI1q(f#tSpu!lwq79u2qza=R<$
z>uyfVS0ZE;@&hu3ojU4ww5^s2f4kf)0&HuLl|C`j8ynZ~12_+_ph;p#N|WGtu_sTi
zn)=?Ux9EKXvXft3o&o$2VhxdsRyD4Z$p$O)+7s;+@f*eX{Cq8U0x{=h@^uU7R%4Ui
zP~f0$Pd-SM-eyN<TxiTdzCk>Ab)-N@AFj$bSBtD}8MtM9oo<>oY0r7TY2k3cbv5R7
z&6DV;05(A#r^WWT;FbZQVGG%5zEV=YQdLH!CH+~B;n%23?mvD9AcPp^8Z+xtBJgME
zE-`+%60l!AQIbM6W|%V(aI|su(6Q;mcG>T!%55tCRFqP_8E19Vr;EAg9&k~*_;4f-
zy|5Pq24Mp1pe{<mN@B5c4AEip-J8#jfUkQ3FU@#D`hF7e6Gq6b1qe3T>i!2PT$_W6
zNY5HK_E#}78}#jG-o$64nBX7Lzx#l^hKC&auvhM}h)@dGk5GgH=zZYN*B2l7&QfKq
zrF5VKv0$XRiueNSaj-xeTtoJ6MI)*TVA=RZsgXnbX)Fx240j~4JWPiQiN*cBmt1fn
zZzZqIZ~<meDif;|Ua+)+Xpe;pydZbEJz#P6Df)x(_>u|7_x5ZYb4jD<VfVVwpK@ui
z_qu{Q*?uniXGpLM6z&uAI7;l5U^JT{1;`7OjzoZxkO-o9j&;}U^l$87*v-Ar`$`tp
zy^-@#a*S=fu(g4p%l+iseIg=d)Uz>xl~d3McFr`=iR=+avzQ9QA`O~n1OOiOysi$4
zWp5>U0j<V+%3fRL^B272Y4L21MC+ZOmuC4dVS-U0pj6x=?R{fabl-mCsi~6TqEPz@
z;BXbFwCW;jm00iITyMUZYL?d1D^;DDe`MSxN#u%pM(+Xz=XS|<(@o8Hc#3t(5MXQg
zol<C5dWYlv<r^x9!dIFB6<KpYYG2bpWf8bohu@Ps2v@Em)bp5an1hXjT8EneE*tKj
z`dUB}jQlA4>+@fjLiR_~J0JMa6o0;HZ=V6?lyB=f-)8>|&BMST*SkcG?_LGF(B;2)
zaCh#6?Jfr=2lc+W?%f`t@cCFgq#*JwvjPVeqDfkT!Vk6kydUGDIqNzDj^21J)QuKz
z5-y;{Pq7y~qhr7Ijy^;p&F3vY=o9iQGMhg_ZX%P*Fo(Ct*Q7}`5Y*A@XRRx6vU^Y5
znolQi>}MQ9ck1i!90#yZ$s+6Bp5m$(8PZG&t}a|~rCIRDlEe2-qjHShp=!O-azxy+
z1go%tmv7dOC(kYNCfY!)KUvtb-}B>IkOr-wwx1zfFdiEtlG&fpROs5(Wp$$(7x`>%
zlz5YSc7pt$=0$BD@ZMMm{A0kZ4aBz2eg|d*v$&@rW?iGg4&Jd4CrNuLCl(tFRzrl#
zqKvI`VcFDC=_3^=!jN-=CVcs%YR{mf%DmTB&{}IyN-y4RFv*jo%<6D3TTeguYP8cl
zkBeMiHl41I-QnI@I$Z}gv|7(Jpt?6y<%f#CRgO7Iw>wU**NuvOIGN7M(o0|!tacp~
z6GnG}&B?3;)i->gDnh8WCo^65Vlig%Jk0N&>tS3dwh4V(Xl5P6SrKYIjY!MoR+%;d
z0<kuJ&*%nqJuRm3Qm3vGlX<aYGA~f;G}%~8Bow+WG~UW;rVs#WBb~e0_U>_TQ!?wO
z`-S}aSaq-L6$(;pV(^dPg6B!VZo@b0xxxSM-G&+;h4EQnw5LJ$pg(oU4_X!pv~lIX
zM20X^RZzJmAG&2m$M~EA`a9jb*A1D*G4n{!E1q6pLhSdWgLxkM?I|IY!pY5r7JoWL
zYkcUmv?J?|k?X3iyIbjy+1eZB-up_K{`TEGN8j6bd$hoG6|eoMd1%_i?S6zY)TG9p
zKDN=9+WWx~!Q@Mw=d-NX1ZqEA?{-C5cMnv93(b`S`O(22D0W^psws+R)@e#-2xzh0
z{Z$VXJ_9t-;w0_hxH{cuvC7#hAKqt=F8vI7&t5At{!SCQlA0hvlXpfYi?Xz~)FDBc
z64|e}9Z$+NnyHJg=Op+WWc3I9*;58z5%p{4*>=1!wD~i}7DCDe&Swt2ZE*+2Y5)6P
z0qr|5KEynMixDhG3Q9pn5DlYA*psYC_1!|=GpM1-2Cn;Y*f|X5#_F2rX?JaXhb6n^
zWKi^wt>gxtt{rqTIo}k5K-@Xm*CDRJ%QZ4{CMKinw1p@w&}@wFkn6E2>Pfi9dYrAs
z1vrFsnT!zl=&Y5jLf9WrS0-y@F@pQ<$rHNuhce7IX+m&UfRkI4LYN}39Z&VfL|0CU
zP%o4WhFh}_lj>;gz`L@SxTUAW^c6pEpfNB;_W;y$rD<^5f~o=d%Yvp<Y2P8(?<9Uu
z;{udK3CXhua<MCavBJ)ia}o1sa>vD|(DhiJUVgW+Co1~ZokB-#4|wR%wa{g>rh5jP
zQA+&&zq?!j`k|&b(8gu0N&VBt2ZTz3k1TX~A&NJZ=9MwZ{J@nC7Eml$2LidaBi;+U
z#h#d6RiRv~G|xeWk_lH%due7z(8NImyYEKXn);qmEyg8Q?i?udZ(%bwsP)_CsQ_{l
za<eOps?wA6$u^I(xX)3un5yrR)VM0MO5*YjFVJ}JSLL@wnxK-@9KWa5)^O(@VGqbN
z16INc5rUI@B}X5NbMNHy_eks}OAr~LboUg)RrD!cGbcKK-ZE#Pe4@7($)xeO3wg-v
zy$a47pUst<Ko!U#(59f7wQyy`L=+7cybei;MvD{eKCmB4l~A7e$kZlfA)+9#C~4>8
z3MCMZ{XsR9>z52C=jD(J+|QaToNdUxcka{x*vzz0_Uqwz4St8~Z3*{N{kJBoJ9Ixl
zeX(wGrCKLGnJhICwsAkm$x79cj?>LN&4zy#;$S!M4m3R3HuU~8<bn@kL&DTxFFSi@
z)~&!WQRi8sej&p&gFJqYV4q&vBr18ZJk3zz(z2=v=qo55nP@};Nq!Jzkag_cd}f@f
zeD=E_AuT{jbF3C<gEN$Tlm+7htZQIqFcH|#&IdfA!Y}Jg9{jx#G03!P$qNeq+qycL
zR_JvLxn6hAgAY``YzKSt<tskO5md2^kZ?wIEJV&=5+9r5mISxpSAefU-aw=mBGkHN
z+Fte+Sse+S_4Y^5EQ+s@f=c)&<fnn_%kq&G$P%MGdv>Sx%e@{rTsT8Kaxezj7i+Eb
zGF*3EX<l+sh~REMzi@P(|90ITOg5vPy#HtVo(o)E!xud0OOFS)zFYZgl3$g21Ioe7
zVMfElaVY<|C=fJ^TwSKv0X#Cz)6i{rWe({yd|T+({A6m^KZItN$Y5AS+CK&aONqcx
z%N(O{@$jCPW|0DIKm{bMWWX9?P>xJQ1~nSct4v#o+^v-3NTh;sxLO<uC_shnc50X6
zVLUK!Wh_xXFYHbmuLTEMUnXQDkvN2=^`>j4eG+t$+e*<EnBej+{UW~rB9>L?{(8q}
zBO=W`D+3agv69C6BZJI|-Us05kMKp_aq}?&1+Sl6>(O}rK%fR~WbY^I38KAxej&az
zzbCSL>@F<U%sRB|fO&W99t}N&Rt8zKtS-LfH_hEGCv86P^d|B*a(Fom6GQ(mtzq6R
z4~#XZYx7GLuMrI0aQrr-OE0LHK~?#>t_(TTOTMyzH(rb|%A<okjifX2c?W7hZh^k1
z-b$kL5}onTfkdkll64=q5K^U1pn4zQ)+RFBhU5$PifjAUiWag1(vM;H%YQhu#T4HP
zcz-p@(6Il<AiXF7=v^-mUTp(tGb=9%h4mqt5H177bdTOURw{Sxf58xupjSW8<i>l-
zACw%Fq?A4=pD#&OYIjk|zc%;?dh6lYmB;WAP|K1~s%nLr%a9%swujW|3{}ff<?0N`
zfvEjn-S^}O)xy}rWM2Pl4yyG?5YXov@lp}Mh4p#Kgzf5_kX6gjkbCWffe5fn9jnEi
zMagl_=I2FE0{4o^e?AD``e2_bTG~Nt@-uqReTGNU6_POl`*cq+onfLpglv;X$1(WE
zG4g8)6swpWLGo+Sge^CPB;;#KP->W%3!6;7)aD2GL%(cp*6~F}zx7b9mguj-`}9n(
zyGM$dwZyC7C2>6~Q$xDrKfSzM3Jv{_!ve))(N`#~z~V3em2moBPGuC0Tq?6R*0o_j
z%Li6aZ&5Pp?covo@BW}Ou0=cvcRqI+XLxD-kDQ^wbt3R7s6G1qsL$xmAujF^@xT}X
z{p8>p_`yw7VnBRYdGg&NrDwzQ)tA`|drWs&&?P5-FO3G4#i0X@L>I?8qn8eAAm3)i
z<40HeD%5CJUmi#6z`^igmnN^~H`ax|x+6H_Kc&`vNx<c7-P}H={bvYB#C|qZ`ULU`
z`)O|DJ;TPy%kS&Q*al+X(G}x*=s455Pj*@Q_+#`ZyY&u+u4<JxPKCasJ!Li7he!7N
zWiw^zMYGk6@9jODKAcP6{ZpX4$q9D0w>^?{xcDQE{J$LB_t}819xwiXIqSRrz5n6k
z{<o+5zqbK7LO}VZnD_bLedcnN*GXgl`6z#$_`jy`KeO^bEzJMS%713%zY4bh>?{A{
zO8C!i``<5~f4t8AzgR2uLf7Z=31X#?>+%F)NN}3%tTA}--x`vpC&5uv(J4#Sd7lyx
zvzobG<O$@XG~EgT(ng$L&!Vn>PDN2JPnhv}=YOZ1zhxlBKwoy&zsxDR6B7UN`K~U{
z@%1@<ON-q4&W`rh))o*IChY0qQRw%`1ISWikqwl>-i-H|nVIoi%8~N@in7#@L2a$A
zePsG}i{23ZQ8l=kY%{$%rrdn9c6RQD>q)&?&)nd_+Q>+i-5f%MHc0lo5wf_GZ!-N+
zwHLrM=TXr#(Ntb-jd?<rD#nrwck^OAS<gDWPU_#DSJ7bn3*-!2=fG=7?e7c2_q)r6
z#A{U;>h1<b&8<9NRyICK9C*BCoEp8MGk`mb2dbiSP~airAuhN4R;lzGxeKg%IX6{l
zL}P2S37gDehYYVa03UpGZ~U4hBc{{8&=%3O({9}SY(Veo$gD;BmkvC9%K|<PUmUtS
zIvcbYVeCrj-zK7NnQ=-~+l<4zY>Fbo&>iP#OB*uWy-><cXuffNYp!DA9m2fYXklRC
z-thg=gMt&*O<rh_Hlj&uF7dk?yo+P6<ibCG&sA&vA!GLt4{9!e!&E^AM?Km14xwIP
z|Csii{6vYhYE|(y)IYAqskY|(7%k)Lu#G2|NtlNP2q{qsf@zM;ME_S5X3f)tHHQS)
zPXX!g98$y(ZKb%Z&QkI|MZ77}E1IBYT)1CT!AqNkrKqn$Aak35fPnV_u?<5t<a6<I
z7tQO=>BS$>A$UP-_dETMHr218ia2b(a?CY)uuggVXlp7Rpl5YUH5;Cl=;n<3sBqg{
zC+Gnh>)PNuMXrGxWVD4qJIz@$S2Q9_`Ame2lw5<2G4tZ=xOhPJssV)t9-5r(M+(fz
zHC@pz1mvVt0bTSkmJP~CeR&rrIaTlNd<sNQ3<F@qLs}psi7$vQh7O*45cYXeqF&aG
zfZXi2{yfcf#zvF-P6f@T)d$M0tAW`Z*(uk*eF@->+BKX#BFUl-lgIehqGz-BX`NaG
z?++>B2@UNpor_%!pNk05unY}_5x$wB$gnnL6wK)8#Ox8*R4i*HSKId&=Qch4WOUqg
zHk-oFkm~huUDrBS%D4ZRKl9mf(}}9sv4FXlJD8-#d2ZG?;Bd528>-RdQkW2ti^->A
z3O($(Tfdo&!jERp3fQbbpH`S2e$qQcl&VNLj3XvK`>1HAbiG)Iak)RJ@%a?nA+a^h
z9m68&b#Sh37RA*>LiM7iwibgPHm_e;#g*FR`W77<1CL=XU;vo(?*JVAYvyp=bZ*J<
zL*<Y7=1Tf{Af4oU54`z27MEKQdc%(kS`~RvHQGNtSx0FVI>$d9n-wun-xwQ&mC7Uf
zA&cX(#F7#JsC^B;B7(bYkUKjVezu=7U~8p`6*JVtTK?`Pf#0oJ9qEafeg#cj>Uq+6
z{?y0jTl})J;Www837L!jafZ$glOr}d8vg~a-wDqz4;BVag2qpGV^%-SZ-kJr{uYH%
z^P%_pe9<;N!1=tHbNVJtpB)n$;>HPb1aV`gre-dllx`V7>*ZHlLI@kPPiSiAwNV3h
zmfx!4N@PuzyMe>|jf=-)@6Y?_S+<t-PP^f#bvxf@<z}Ub$<K9+F#`=NZ|qG3^)7lv
zu`yRMRLtG)bCx<bPB`UCyM!E2tx1-@(|^lLlH{~=O*whWt(GS-Pghe|99+vbj{*y;
z0#=sxEK11K3Ch_bqfHI!N3d1r;TPL;&CTc=&^G7Yl=fOYSvOaD8k(wz2Oe9FU9aI5
zHiv4pwdxIi6FDQfaumPut_q+R9{?p|)eiuP+o9WG7NOjV79Q7rw&Rh!%PLd3X~ceC
zBS+1=nH->91T{aoP1<9jh$j-MgwAizzo2mTQ4EsyI9T<_r;9dCZTX86To1k(2#C~&
zq-C7govX{8vv61;=El^?VOh{j01$MrBZ`>Cb&4K&CA}C5-2e;~8+44Dp)Bfwu}PfD
zX2aTU?YVc;n#oCbgN~=&wVNL=(Xp`ds9A6}CPQMl)$cUh;(NTK)kjNy2F~SY0;YXd
zCFdpr<_V#{%M6=nL><8PB?)!=SI&MTS*H<8f~59mWk+v}4fJ0<DeW4wK6)9We6$mE
zbv8@Va5`GHy(JM7&91cvkp=usb6(fn_-RLhh=t`}S;hVp2~F483CCjeoeEXBSO9IR
z)Yd#9#v~^8-x1l4&5L^(V-~}HI<NPmJ<Qm0%44Nqw~$p=;O*s->}5gvME&exX;WY?
zG?Qjxa04E6(v!<|zjNhNkfh#8WKB6|bPzz5`#ZG!C7uYEaRzb@0(Go;vJCc{^}UN$
zb=g1vcNPHAkIYL)sTn|aX_T77#(R4#Qp}VT2Ysho{jJkm51<35QKSy3j~4!7brh>B
z@+afF_~mt;5kZ|(;VRLjZ}OZPMEm>Df9}j==lJ(nfCzogo~htMuXf|MXW53?D_Mh{
z$d$S@+SvATAJlDJ;kSlg0>!LvV&ew#u9mrF*S11)eq1ew*hqRQAK@&b+>~lKWsPDq
z9i6V{Yuhr4zU^DQWBHqUikJ4a*OS%gOe<>`B$GNoB8zJcWDzYarfTj__i<G?54hMc
zool?<a^4Yjj`G+OXA(S5jiay7h;1S9UCP-!DIIS*s%{K=Xlk?7)xUDj^hJtbMdbFR
zMQQnN{oF-q!bIiDr=2g~W=})=)ZJ5=d@{(majQDgxYy{OwX~RV0d2anfmFP@cG`eF
zRR^W*TKn-*8JkyqgIw8D&B3ODYEF*LA#=%kgTes@L0yV#WRDiQ32&VG_1T+@oZa)0
zo;nIx>Af2$F-|?dagqo<pC@UAzus@7XcpvO%*a;hciO^pM^Ma>h3(#urIJ2)oB*W{
zg<i~~6a||in^#tsOX;w}se5~Qa3^Xwyg*0bT%C`73x|DP`<g>iHyYD<cqj~J8u#8H
ztNJKAYED7tS|!)VK(;AT%^65w)Y3mRxjB!#v3Pw%w?&s@(Bj%ao1QIBIGj*mEf?FR
zG8uHa8gxX;@I1MDA*E?llkm!s;WpvN9;y8a@qpq(^(=!!fyOHD+)<m@boLwsWkS!8
z=2`PA_qB6W#c5sS*SOM63uEy^r<^=5G5<6OORIOXHt9T{=}ET^Q=LaP>J%+|>3ZA_
zy)5_NFr1r&OIgq*2Z-$VIR{p1-(FK4hJzTwj6shG$m)Fu{AWkFo7+*6=bx3D?OXdl
zV->t<JJGmoWu3EM>xOR@*pGF)HBPl8;piTz!%2)sJ&;ZFJ@4v#HQ?*ZcJlaa^Hsg(
z(`P}ZZsx55q^vSYxgu$2-BRw_Q@&Hj;UrgTpB6?VM*ul^Cf7NTb%1)W!a}$UHdQ3h
zoDdm~sGvTn_{u0V!hOUOT?q*uH-1gue`l?v?{WM(|D>bESI0xzl!_U1|I?nx?B%~V
zHS*OTF~rPHe7jK=VYU4Yv3G;EXYO?D+bNDW@}WY<-)Q~TEZoJ(Ku{Ap$JLCYxwG=b
zlF*=n)Yj;dKMOn=v$S}B_P3gwv~KS$=`6gJH-(c@U0m)8BMQc!(`$<}y!S|#xNPL;
zC@u%vn7=ffylH|Ty66A>-g_qLbk%mv+_KMo<ka)^T+Yly5|q4+*p#qm*<OcE<S9zb
z^;O=}V}QQ7`q}=_(;}6gShn>hbAC_%Z(Z3er`;D}N(_@~o$irI28VVjGCkE=_1QK<
zR5E&sG#9Ur$h6ztar(S{2JTGp6~hCFs%pF|%XXChW^(DRCZ%(?1k<m)B7F(fmSw<=
zGIkH#25NmGg7j-nctpBJaE$xv^}7y_SYIKH5!p2s#y;xx*;8kH3zb{wcuYn^NY38L
z$ipe;NuNFKI$mhE%$JRu0VCYw2TmMuhy!66L%q59UyONfGe?2A<^5lv^XO_$#>uJh
zO7>#y&PUMiLN#J%an6W>fx3>HTMJr7zif6ngWk#>y1gHCPuPrgY%u1ikafg@$j*&j
z1RYD4EgIj{o%V8f+vAi@i2ZiWja=s<&*v^?<~&*Rxtpv@gLqdJl()2gYP*ig=P`|s
z4<Ntn$9+($tsY1<P8MYzN@pH!&q2{~4Ax_aCC_zPDO>)^Sv#&S3-~e+cc7XQ|2ra%
zI|@6@B>mM@#$13)pEQnr);(xa{G#|!NA`;oqt<cy#y6t?4N0l*-xy7vKersO^vQe{
zMJqjtJ0u{y*b6#YQDgP8*2FCmq9iwnPmkXk&c0w~LL;b6*;juh%yXY4_#^mD1ys62
zP^fpBX-negV)j#M>|bh}HYI?6#IQ6lcBQV#+cm}K5h=P+LKeGux!oi?YFIb0x#NU!
z^*!$1@bZwX86Cg+ba!ioQ?lAX?u8;I#azChhQ^tktR<yuc-($Jd}>55nj`AYf|*M$
z1_8YC)>6n0_yswMV(&$wp7@Upr;L{c9+osh5C;X&Eeh8=?(TnwU;TO$U(Hl6S}3fY
zRWl&9wQ5K6hR-fbCTMMS=`3$M{^I1_Hf|)rbK~yRgk!^Lr_+U(GbTs62RS`~C#7+l
z6BY_G3~|QL-6Vo#2`6iIy(8Sd!JCn;xegzCAxzCIuVT^b#W`Y2rnDWfmy(B&zsC}&
zn?E&rKzd<5C(=T(F>F(}?{<+^;=EQ?=s4v(yYcJyfDT+7JKqa*BGP!f#G1+aOqK?k
zt*zJfV6L=}{o1#2fvb`2Z;oz_$u(=jQc;nWN?io~MX>YcEl1}Knu3~y<sPOl%Vtlw
zoR$~Vr%D_9>9-nxl}^df63a-!MQOh~&e<*5S~l7C>-0_$ECVS~#~(#U54@pYFw`el
zczfZfLgxz6#2zm~L1fjjb6=nxCZl2DIGf_zRAEVjSqXMM;c%UaB*{a02doI^`L<5o
zTBa4h%ME2x#`(^j&5k$Ua>OrdK6_P{ZzaE@WlMH{sV%^sX^&JkjJ+;Bs3lf(zV}Qg
z@AU74FFzc`j?*VsHwk5Zf7^P`2_JU$Tyo5K8j5;~8aE9Zdv;A|z3!56j&F~WA}4m(
zU2dhES}x#^<afeBou>z-1AHoXH%zbm5};I-4dzYyRN#5NcW|NDN7c8WYk$QVh}1II
z4CWTcd0ATN&KY=GR=GJ>UknHNm<TkE9x=tw1yX7Sp5_7m_3uIF=pd<I`<Nww7oFW`
zXL{F!zrfdkV1%wr=KJZAUKltQjedFWtU<%llmQLZbGIVv=fw((ycD=><o#>I!JHOa
zxvt>9Iep~bXT21Lo?JDVf*(iPIIg^V9mrsMe)>aIW*9BlBvk?2TJZ!UZcwD;G`Ytm
z5-?MVzw|uzjc!#EpXBZa7pHiH4~+N~gPQ}KC)&B+L%|!7Mm>9&rz&!4%O^79HRTu(
z7=OHAG;}Yr=2dMkbgy`Yvv_I44CL%$mBU|J;JE+e1pb9t%J1#jh&z>c(B$!B@2*aP
z8Hy>o`kZu=DaQ|V-u=4l{uS1Gj<^)@tOGFNZK)r+zZK6b<jLVKDOxX>g7!dEg}<Op
zhbmAv7nv4fsBxDvt`;7!rqKvZssHl6H>TOnl7Bp??$q~pr^!?e-@E$cnl1W$lYxBM
z63T!>N|7Gbu6JK_P<OIg94d2~Yq0gF=qMlInOWL7j)4d=`=G4;MV2$0oylF-F_+H$
zVA~%{yOpj*uU}WO6jT^p{aQ!c=5F{Gb9B|Qu5mq@Be0ljZJ&X@bjPVS2i2Y(DjqUD
zIm_KCZFDm{USTTRn!Q-p^AI%&umY~`oVa-So!f?>R5_f2EX$nv<2<)|Ie6ZdA<c_f
zK-E!aq6C-Bt9`)#@P<!JG(YSEis13vZ$kOf1u3@ATLjfSsc#(czns}OXt5q75G>Ax
znJf0do|+<ro?A)`)9$QeixN<g!n+2+g9F5rr|NDaGU|PaMKZPwOce1Xak~Za4uc-1
zLR6OP?dGmxrws1BW{x-CM#=d3q}47cw=GnLrctPUUCjQ`Zv%Y$n77cKzeyXyFU4JJ
z1Nj37IA#_|w%6lj_UgA$?uUjMh8xFSCYO^=BYbm{jt!q^YqCshL%yc*CbMKelp`Wk
zkLoxqWX)}PUl?JWST}D;lM(;haCl*@hErwFf}_J)?JV{Ay#j%Y2_7%~@ROI40bfbP
zf|W1kI}BM5D3=5y6K)=_&EhMTe=-(ij;)7IPPWE<$J~&pAk&Y8ifKyM!?L^(_YcDi
zq>5$o;^+)1Zx0QPLF&!v%4H%AYCa0QDXotF@~+F7=fy*A+%wLT-y0>UGz-=3j#7cY
zhHeYrLn5#bsciF=tuv!89b2K$RRQ(=B5$gN-><cbT5fz7+2SmrW@t(_EfoD84PCD9
z6_sdl_PE&?Sz75QCTQbv^Xsc-#uVo{+fLcjL<Wb&0pb+VFTETw4`$*7(smD*?czO_
zY^`$Ng$kU1SILV1;mt_9c>Lq}JNQ0|$@fE^2zvg9k6;NEe}VaCs#g<^vN3z4RJuel
zOtaxoA#eZYy%9Pfi)+@gNoj0b{W1FY$@lm4y{j2f5!68(k*c#I@oRZk!5T3FRHZoK
zV`15)p^?wxZxZ}S3^d;Kjb^9wiIg}#>=wdAYN?CgFj*k7{>|y=HA+y?G3IsvKR6{+
zP4GUJ^{+i!SURgW-4_2T?YgV)-N(iBJ<Ho@xbgUnzzp9vxQF4op`}g9U<t{QN1ra{
zebga>yrE~y;d}WFCRSPn!A{ERN(PGxrDj$SU&+!@VTtp^Z`HqVQVRSS3g+-Ii+3`Q
za2%9GR5}OVr+;Ac9ZhC3A!tgOGWjaxOF({Kb2&>D%QiOY6g%Uypr|laYr8>synd+B
z${l!u9Q-?~$p1@OaM0EX23IQ58DZ_O!m;npGCLt)^1Qyi*tL%VzWjp!0!8QsO~WZW
z9t_2^KAlcanK$IW=ftOT-m^4i(T{~3+{s;dCdBGz`!<T(T@WsTbQp}2O=w!{X0Cq6
zaY|8!i_M<DK~=eE+_O_<zqCjrAYn~bE^vEMt5vdTB7)@3c|~28c1afEwyNXqolBhN
zwnI-+U5!+x_wwRo_Q~U=@11$>k|w9z=zFXT3~;f2=HW5%D%g09lTV!9R+m~sdB34u
zYkJ?)8x-SvL_)8ip<y+Hgw66}4k-z)E&7sqQb=64UehpI+y^2|&Ge(2**&(alx5tg
zx`RsQm-YTl{o}XKn6rLL1UFaBc2JqVU=_LFVbSyi;kYU^Ku_n!<V?Badx_o7<qn#-
z2ppK1SvrGmi8$95`gi;)TQ_Om|1z`OJ?=3@TQkll>C61RW&-(OOvxgtI?YF^)MH>4
zQ#Or+?$Z`OxYgM9x@M2L=A~mzi5sbeWghQ22Xq5J;xIiOF)wfQG!{R-TWSMzndrE0
ze@@E`RKR#7J~|kQ$<9b+1gBTsPOi+#YZ-$e`u4`<y^pJ8vC&2D2-(ZSXR-(HCf~D~
z`rO|hd^Eb25Pu@h?M>PD+3|;D;KQjw6kT3~sb!*u;h?Cu*Ne-QQmvJ!aTHl#_jxCd
z)BS>FJ;xlKaa47nF*IgQ9;j`Iphq+IpLW*nraUm}`4)96T4(bAP;{N)Y<_LLs_New
zX{ps9RjX=O8#^i5swz5-+N+^r#umF)t)glKp^7ehuh>D&s1<ug?8J-+Uhn7U+qs_W
zzR&s19$e*e@t}@MzVqTYof(^UXU(QHoa^UcPl|xD<GbDkQ@=8JY1Dgnd-$$LcJ3wT
z76X#T*OmH=K-T{1O9b9oJ?$xvGf;it32u6N6Ix$zyeM~Emx%&<1}Y&d>W|XJ>(8ih
zV_xWhZB$*ggj5qZ3ekn(dFcA-qOkRXx8o<*3TERu>zb@JqhZ+#K{qIh&U!Buocc48
zmhTUX+tDjB_Lq*kB;EHm{+l{+wFdlDC79ElC%*a>cZh`rJ?kLO#vRMSE#!vT%H?~P
zQ6D5Ze^07F{KulXG83$#?`23=f|iLy94S6d#|;$>zTp2=W@Ys{ztxi698TnRCwp2#
zO8di*$63@lx~BSd2f2)(N6LEHeNYC+{Ux#PX2IO^UcsRJBUz^~iLx$@2wHde7E%P@
zzhEQRuf1jB3q2SI)rCUOK6sIel<OA#__ykGgsTNPo=eZ-9Wh63)56YYhK`&~g%`XI
zILBokjmkXiEYXd3Z{?RL>Nd`{;F9^?EPsLvZMOI)0&Fj3+PnljxP7Zdv~J^Kz#JZS
zr9#&6d$#TFN4`=uPXSl8*SA8;=dPKP1`ft0r&8%9nji4v!nMFKm0dXq75?87(d0J?
z^u8MxMdthcJzD}U$*4U2kM#GerQVqZ-kUQRt`0@4nBNv1BM3Eri`~9a(H-gdEuL|Y
z^jP06-8=+pWTy=!d<fY1OA}&Y)7qT8BxwEgF8)S31?I)Z7(7D5s~&lCzvuV1i!ME4
zMGi44`9x27V_)uR0G)172Q>ae6aem}5L<&iX+b*o0}{7Cfn?F(C>fZ4*QgpNlF2Ad
zUS%-Mr?6rUw7sV(B6DfhCc);Cv&&V+a|7C5PlBv}Tv0FI0Yxt=wj<bQeq`l_zeRA|
zJELX+<If6W6D-kwB}_?J4SFddtCruc#wH&}xf=yekfUEW697gfiihEbJOQJis&N?z
zUi>Un6Z3Jvo+%w3$AXG)MGrC_zipK_O%mp93773^Q7vQQ9Kvij^g<_EIrtX1wgz1T
z;Z9pPX_a)*Ny=aZWO(3pCWdwQ<B3p<jgNp(Sx=-jer=JVyZ(@W<8=8HRv+j?!f(y{
zYu51r*Cn@eMeBgoj%yIa;=xvV@zhM?`Y%b?a)IbK`h(q>LrnFd=FA_fl<wc-K?6It
zsTK&EJ}*3TDXEmQsL>e3(ZriUqTgZl;bU&SG2IfPKEU~|p9U~qTt8woOirpizyfyu
zA@3-aIMcK`F3DaiI^scu`lE(iZhMvlZjxIxNv_zzG1{CIgg(E5O9RgX4a+|!^mcv{
zWj$ORz|F7of}iy<=wO(jHifzybB9(2Ho;(@a@B^<vS-cMBin`wV4lsbaAE$>Nthkm
zKzW;*GzVtdU;%d&=doKHW^j+diy@+r3)TAuL!*_oNz%#&y}^az6A2IaKHDyZWF63A
zytT6SG(@~b9QHRdik5LZZ@6<E0+KQ)54`V*9<FLB`*2RpI|?&25m;uasA$SF*iQM<
z6BkXijLs~j<F#>2EWhcT+-5h{q>sILDa5HqoJ#lu>MgkfFt2E1=QrlFF*#r7mt(kS
z+|m?TX@5C0;u7yWYnY?kpbu3c!fdj*aV5PE$CXy%QRSHBc8OLt-JU*Z1Dk2L2JC$h
z#F})eE&}ED=K4^%HV-|;>`{m<X)lr2WNp{!{-2wuV;Yl6nZE<Hme2feT&AV)`o+3W
zg%uTMf5-Irz5g6<wV7{Xjt9r;jt^!=B>xmUKjtq+Cr{M;^y~DfuLI0b%-3kazV(z|
zmgbS(G%5V0+8s$GSD-q<{Q^Cy<2^-o*3DAeJx6lZD)WLKmE=Wa5On|RN#Pq0GX^}c
zNYr})Na6nl7`u*~`o3^=f_85s+j8p9ON#uW5om{D6ujfhAQeL|PD@}Eq@qClgDI$0
z!OKx-<n0NvHtlD_2rq?smlJvv=-7^weTuY7ap^zZLx4rCOT`+91I`H#j2#!tluk1S
zZhP&vO9!&26S(VbQQjR){CrV43)gFH8+qZM1u%}|sCY0{cqLn#T9q#g!`$9sj?Gvd
z4+f=X8@mP3*Ez1_>rMPqoE8F?TGrs=r}iAk)<}=NT*;&8Mk^)0^muL!{ynugH_$Ho
zKs(YJTbv}FImiJi*AHVbeD)H6vfCX&O8Tb@PG=WO(@H>y5V|@n`@2236A3?bo}xrJ
zS`Z=M8>-4sH4~52JW!eRUo>di#*oVW>O=Jmc3wP#8iwzdS??SCI-|YuI@SxEG)4HF
zyg2Bo@-lF&{%mNJct1KeC|uwosKmF8#XI=s9FK&Bt4gAX)~AE!D={<R`TIAT_2>*A
zF8{})qEX%=kbUnaE1JIdeTA>eQ)X`9N{#}8E%6dIQp$|`PG@lV<2#|USqCwuAy%wK
zvE7#cNqka5WPWK|xy19iHs>cxdQ8uPQuy7ME_yq;su5vTkgK9C3E#BAG5VRIYU>U-
z=iI2pdFI}*fBW_Qgh;L^+1gwk0CAz)N(&U%>fa(m_m^fW7obZNHh&h;nKk*3udbRi
z6dZX7!DTAED_44{<%jPe7p(UU)HmS^>-Tn?PB`{GR>X@7XYZOF5ym7GTP~Zn@Txq$
zY0;bnqw2^+I4W6kvDUqpyGZ9RR%l9*pu1)>&eGtvQG^SlGrVqx(+D*!xiTJUnoWOJ
zBG_D0EIAqCToWw7%|6JWsNg!Ae+P(Fu5T{4GVvz^s)<VFu@;7^^>gf(tUV~!4r@Xx
z*z33YfI6O*CQ%9PA9-;c?Nczh5V5p0(Iy)eAPbG&3||sDdyC7OXHs2z@V(#`kO^AE
zPFa0*@yo+my{c0IAYxGW)(Bt#`B}+Y%ZzmAN8JiH=gIuXhCZCixK(1J{ux2!Wui#}
zR53yBbQQ$1lWn}18v#C9Km%Ihb=0oBo!JU`3Aq<Qmqoech#Sh9k+A3_$Yi`e<}oK&
zneAOhu_g6t@L^W7irOzh660>~X5g<HtJ6Ds&u{m>^+Pdj^jk4!jU-7+5H<B}tOD$a
z+WE-a$B}<xS8k5N?MjUOEh8o76Eo%?FI*WQ{>hu;aAp;5c%GZ)dtkM-aI;BWb5Cq^
zu<@wvr<K`6JwO?53=hH&M-&Yt+A6dFQP)5VDeugOys~ydd)<Fk1j{{p1$Yj+b@8`m
zMFEj96?xhLOkm<a*owvbr`vfuM~16wrSzKh&Z>1y$72(>0x;l6X=TrE%5S=7ZIh4r
zehi!yZ*80WKu7*Sqia01PujJ*58OE`scDHIpIx~Pwi*APFg=TU+V6}go$@PTfW+!%
z;3Q{?#MY~C*1ndzE-Qadz9Zr8pTPC%(eb&)0d3<GkBhO3q7=g_=0#%54P%cVDH;px
z{t$G0XrKa?-4}U-inSeck<zp_faEfna~5vRPd}kU{WCBrqqG*2aW)_V!6M%6{sGn?
z%1g}drUnqT27ejYu+Vu~k_yN1#&n9JP>O3w9p#h(gZUJ*t|3+AeBht&l6*<A5oSk)
zcCvj9OZz(>Wc6dqC?^EytafE0p|#*WhG3mUH$%iD=lXcZ8>vetOZNRXnzKtc8f#W8
zFN5-G^!jZ+=<Wd+$)@wRwQ`u%*U-gz#=z05J1&^Z;AI~7$C~bNDH?oTa8(BxYH%+P
zP=RZ&9*;4oVWa18>@|XOHVq1kV<wUQ;mhL|giz<j1W{UZRuwjvt27BdNHFe$6$)42
zqP9|U#RBg;b1yrzJ0h^sr{l^e(NHl`XrL0ox(mhMtGIaCnHCS_e`>Hssi@?1?|o~3
zl>Q_|)&HE|+w}P|7G-(0QJkP=Kup)%I!u<H57f>0QLVBrDiUzGWLl|48`)|pIDNq_
z5m<j};nm>oQ88-erFw93TDag)Ju|3NRP%Gmh+?8~Df+ZKA)Y`_6S{=5mEVXytJ3{k
zPF7ti<Wo+JSnD~{x$3t!wQ!gEs`{MN;rH8HeHbAfDOtV#pQp5Z=(0spAZ!e2itVuW
z4h}pu-s;=_<mG)sdeFL_EM`}y8xRlLpNN7|UO8{UW8%BhMFL)J@j`lAyon2;O;{)z
zTQJ9`<2e4Uje5)BrEjx1C`@#-<JLilbeZd&z2?gmuF_Ql1rFMbG=bBIu-<OwCM%&p
z^=fQueJQ!QpoVMm71y7S`F;~odFO{q^Cq#dQ{GfKL@Or9@^=kz^WQ4-Xb{^p-0GHY
zcU)IT3RiKX`@4)))CL;5**qz1JK5|_&QASnIF~r7E;{q5Oz&**LmbDt>0*yj#t^z;
z5FB@;5OS{W&1`rs5r(#$lI@RvE9JyC@Y(%Bz}(>cR+i@3)X5$o-t+K`JTP6E@;0%-
zewC%sgK0TN`={5~fFAAqqr0=;2+Q<xiqsxdIpGw>Oh;iz#Z-(ry%~x6rDRk;jNSYo
zT08f`k(Vx>p^`z~0xywhc(H_y{@PM-^gp_V(I9I0K42p8^jy%bppRXd%iv{WV(m$@
z{`|%*u3uJHSKp#UD+mxCC#}T^`{>*eatru8gQK(iLMHCbz@6dMHf{!f#67O4PaTSN
zK1@a-3xnw3_pbe9`*nzQySSN(z@xD#9><Ij47N<>^Pj8SoT3>Q(y`@Q9rJVa#qRT%
z_MwJY;g{+tnj*+rG1uOSTFd`WQ~Ep82|69fj8^ciIb&H61k6nHoh(l8C$a56h|^vZ
zKTfU~Ha{jeM*H?qvbMUmCWL%PChPVm*Thi)o(nc-mAXkWmY+@kYXCdU#s68=zQyse
z;w4eu<6_W-Z?Wr^YQ_&ax`;sCickSVm=`ukmX-gM2%6z_UAq|au-$Ary6_vFgG(sq
z^GnW<@&^?RW#bHHB-{D${987<Bzq~BUZ*ZP!Z?rF6qomS%tPVe>&&<Z@+eQX+wS<=
zlQ3ualNWEtKi=v$_^7v2G8gX;6c4!Mk1SychNfz2gAU>V_iUIbgW=4bdupDP2N2W6
z=ov}Qz7Yj?L7d!nsXAfF9_cCR`amj;)lv2^#@?*d*6j^f)152XzbTLIz3%i9Chbn!
zJSp}*1dh3=!8qX)Nll7_pm&KNfBjb$Uzmk-Tm;A=*O_cjpQ)ZbHgmrnm1huO%*XSH
zbq|)n!fw-Bkig;JQV5y2IdD7JY_GJXqiHA}vJ?SuyY1IGc$gpx^<ByII!Kjqu8VRK
zE=?2}&o+isbUgLWGSDwIMYKRO^RpQowhHFrRZ~Hk=|JUh1L}}D(!Jz?|GwHRa-{7-
zW66WOWg}zobA19M5K^x3_~gT<fHd(*QMroP!v3_Gd#o8i(81K=SugPG7on=6K3IC@
z&p@#oR+87<BR*(QW?-xyP@jc|k|h8S<-4Aae^}-*m>Chs%l-QGQ@t}9@-WMx+TFlu
z<^@z)EnNF#Ov%7I*z4eqE{TtP2JfG2CUN!-YL<wLJObeCDN$K?2r5{EI}&55rt;k&
zbu7!VwZ!{!=rbDoY-RmIT%VNTXx26iy;ZK~bBBrz@jt|Yi)tgQiDWga%Gw3MHZrla
zFB83hs@NB~8Q7<pR*fl%f?`78CcCm!vKLYuo~!(GN?*0fR_zzG2{kSvlHZT)i*1Mr
z<D8X{lG5kbnYmiOFh;z6&lXBx18xJsXP*mCms$cpolplG2Wa^<cDmTkvkEJ-o@8R$
zwoS3O@FGQ=Ja)4+70F|4&}FohlQnzG0r6d1F(|Y+(O9wV+7V9l>}dpEg86;Q;#*a|
z1Ra?r*sHEAb74PZ;&tR8h^Hkrz*{#*-jxYWU3?u_;Wfs~yH#F49`Ex_G646W_oua>
z%j58!%hV6iM`>~yOQO9K7<f3mH#oB_IJxUPpZFN%b5E+AX@0i$3gNN2Sc$ssh8Czs
zRC(8W#brZg%;Jf8X{-t9kLm_<v@C8+5AuHND5L6krnFL;_zW-40A3{)RlD$V>jqD%
zxN?|-JLNLkG844$+U##0{}qqq(tTh{;Eeg~(&X;?){H9j_wpFQsYku>$E%(5Hqh59
zrDyS#QMBDH$uUg9Wa;wS)~CLGNzD`OI0rH6t~seArJUoSGn~TW{bKvwxv<CB*8+f)
z1gVc%H+0eArTq-_sy9@Xmf6SU(1S&SgQL0$^}CFtg6_`GPd~>a(9=LhkliIOyXe^d
zwQ-i?6}kPS@(%;L6nFr@-+g%p{>Bd+?u>Y%4TX8wy_2)k4xlk-q=V9;L|G9J*&X+K
zr4J%O051HmDnfyDZKNz5ct)L<J)&2Q46{q`{J!wrGiQ>i_%zC?LKcciDu!*(>(FkS
zE5;m=D*vYH;@arnk>+oz`dYNXU!Pf;Q-ws4<*)<sgI&FUpA029$!9Hqz#OQ=5IxW5
z%%jHxd)>2<!Td5r`c5l$v;)TbNd)VBrx9+zzhadgtTBf7uM4O5{m69E{i^ZkXD550
zNbx6?g1%jonWh>o6^%N&)!m4AcL0R^rh5BGV>&;~x2<_0I|%b7e<UgITWN{CM)hIs
zN`1t7;R5Q6kgn^Sa=t-c#%;Z^FP{GMEC1k4xrxhN&ZU^U(N4iLNqIuH6Tem}6dhD9
zoK<|3Q@PhHdn-RH!9|AiKTgT!p6jyePXu4y_`=o0tq8!jd*hbxa|5$To3UcpU~oh*
ztM%b<Y?5U*Z;BGO^+yA4Ra`tV@N&mzg;!AkQM;lHUAx3k*ZppGWPgT)3b{49S;I5q
zF5?G&w%3fE4zHV$+^YOtgBK^Be1TAG<|r%7Bnh7TTsv2#DS04g%L$d0kGN;o+Savy
zU8>#(8g?E+CNdRB?y5z_b9YzoWbWrd$M&&~(@~+vYp^?O@wN>M``W1X)h4VKBdTPH
z<*SgWyEdBi$lN`rSya_+qU5pkMIB<r#!{BtiLSW&e=98o53kqD@Ye^u_PmR~eq;Vs
zi1N>Di5GL4*{>MUb_)YMGkx@gOV=FtIcj?4oVWh72#K;$SGOvs<E*r-&WSp&YK@k{
zknGij?OGcwmg93vEIoBEpOU^Rd3J*5K$1I;jEz-V<)Iy4i5((&0fg?$R$N#cMtH}+
zS7kX&p4a^=?{(5Q2~c(fSeaxT9p9u@A1z5vRY^nk3mA7EYCy}f@{I3S$N}yzAbPn}
z5rgP>i^-BFj7$6&p&sm8%3a`HWO%XAu1*Wn8D-#%HsEjG&G?)wjpY-^g1%OCu>YCs
z%#W03bFN+f3P}qCb~Bm|<~Y<1jWzJP|3Y6%J3TM{8s$gXrI$05&VqyjWka_*c(raf
zrv5wEmXI+3JQ<z1CLKVIR&_*17{GSawavY60q@zOkyX$izMXttd-uCK)G#@+U)m}L
z2;qU`i^W)5af+ZGtcoF;^ST(dSsLV=WfKA=i`04MYm95sJIi#R?g#IWRvDjEj!~6f
z4H~Vg><fc-Tf8{$*QV6AUO{V^ujcCPTtNQ2GF9dSyLSud)1~d7z{jp+$4;rG`p>k5
zh3>B_O-il*-SF-C9Y`JUIQ!YwdF<&t?endC1bx~_8l?cB171<|@c7w}fso>9(tTzV
zvZYHaCM1PZ)3Q^QaihR=En_-@-50jvrhI;_1m9qi3t$gu9Ql(O#@j^TKWh;s#cw17
z22$<XFwk&jxt+(36gcE#UrB-<a)G_^Y&1oZ{9vZ{4GhzAC%~HBoBZ{~0?WH|-Q3xX
zbj<vSJb=Qs??%t`VwM<ekLEyr+m=&|&ZTyPdecnC=^E!cOu89BtY!1%?b?uFoxyHH
zfj|{firZsPdled<+roHHGCXnp9TTM8&AspORE`1ST2fyptv9ow_x1cX@l}z4SJ&n8
zjMjYmGflLOv#!;D=+#5BZvB4Ub1yqa<7|1xFqp$*$E{S4SIA3NTqR1&jZ;w-56c`J
zLJUlryR<j?Q~#m2M3NoS&@85?>sFr(H!$NY^!TMbkoR{3?iG!BAirR)r^?RBXf<Y}
z+P2LK%^fB}rEocq-&e%RZ~XcG=>3vKXh>#FzP5+WN|x(t^wz)5G)OmV5k8T8j$F>P
zKSC@YSIX=8dc^mMc+M-jw*^Al60Ic}BpG{CQ7oSK`=lu@;l;fi`TLeB-7A%{usX!&
zMw90`=AM_WrI%kNzO!ly8A;kVZuet_m~9i_n{mTqiYag>`*?NU$qLNr;1=0;(SNpW
z8Y4L1dH(dv^+j(qT^4v`PD>weDc&yX(;6q^L04a=v@+tNE6))Kjz$*$j|X<*|6KC2
zSeh?F|He&vT&hEUMCupivg+-aK_tfCb0IGS=lnt}E6AM@hPgJISrIHd0=t&GR=|4e
zQ1HvXmoee0h_DB=bWu$E)%)eMEg*3udsB?wI=w3=V5?N?AV?3BW`YxO*bTP#llHj~
z;;cfNq}|IZ<J@5U9k^HSB&duD%IGSW#L@ew{U$Fh5(ebwVwsOvRTk+om#-ReGohEd
zW>KJ%&ks}|z3*pL>bV)mi^p)^4@bugjNy6=ae!H?w|fawohse&8D#51oq&mGmIbD%
z$d_wLx!j^il=(pbF@o7E#lJbP_S1D6Jx1(H>8!!x8fGXpnrG!VZN!lc+IV)fl^}{<
zJ*}xeefq?a`tC-IqIR5zMzGsr`2IA#-o|Et%XZsz(f}W^%JFVOWmDlV%V1KO@9q+=
zaX;yX*9k`Xg?q7|(aBOX&U*iTar!{c^bFpysQ8|lQPlKX19xR9W8cN620^bcm=1N`
zTFjOZ;_R8P0A9T)^jQnb^NRVST6PD%9aq!ukNvKieGwjW!?}p(GK@I&mHVdkip>ZD
zBIbSBtzW6X-_TnPm4IN*VA9N+YpeYD^rHBGE*WV|i*16TNfcS|-k^@GRJz?FnvA&Y
zt@iKs?E5qZtxphwUI3+UO4yWBcqukT;T3v+zDx1O$zD{y$-h_@U_|?dx`Zg}=62j>
zVfB@)Uwua_Cs~G;TS8m?bJd-G)A$!nj)!}T(+P|LGkm{y>vT@66Xep@wol3ae)SrM
zv>(bZ4UNyr)*U!r^=#F$<np(`|Hvm4)%=<ym95w9rzDs2p34o5djA`Ak+xv^>duV5
zT0iH#dPSG`IV&WvZh^ue(9*RscY{Avk#6v0F!Q-cW70}*uGgZiTDJ(PO;@-|tRxcJ
z^55vCXD4k*vU|ansjn@PObzG$qn5y0E(KoA5cypC!28YMtF8;uiR?6y)Z9=mwJR)D
zoW{d|;*E$*9xguQLMLUZZL2K;V%J(96v?%dEq>CaZywApU1+k$CyxAd39W)}c+97Y
zD^Ses5S_FAL-JTs>nCuVvz^563&?}}15^E6uJdVecj0(R*>>7yw2CD?koB`+Ar5MK
z==TS<uegUa8yQ$K?oJd{46^v_I1=$HWPO<oa=|$Q=N@Vxd{2hoR0~OZIHMs^19K{|
zntv>Xb(gfy^V)II6%f?AJ~;$tVC_2RXoLIURSxusl6V8zo}54mYo<@X`%me#=G%Ur
z(ue|4%9o9K!9zLud%-;1*5dZs+csZyE`Tk}q8O>`1&wT(i40~I8h#8=Qjb)JaH^Mc
zo-jgKdiN$(3A~!csPE|JkkM-lJss9~OJ)lgT;^(jbCTR!aORSA=2HcB1I>8V_*Del
zUZ`!`e^MnQ@--9r9dtmI(KnoZ!@~coYSynIplYSL)XAYy;E$%U?wk6;<yYs3`gaOJ
za9{Ih9PjpNen0``X-7#z;Yd~Byock$8|J$2cINdSIotKSL$L)<1e~cN2GnqdvhWrO
zHjSj2;TGxHHu=iae*gUiZohBEbDat_{yL=dUO4L?vL@Wm&?3dT6Fp_`>RMW0AFPn}
zyly%<6i@o-#c0gp=szFrJPKy0+LH$#mv&hheDZ_0VKWS+z<1Lajk<qQUbw%G$%`+=
zi^eQWuCz-*BDdAgNs1uz)6cW><!sSi-6r@T$dcA+f;{L8Exri_6Nu2Xj?&opoBvyJ
zA$pdS%|4svK&VPD_lXk2&h>PEk(v{Sd`1%ERY>h1lEK8zvYW3vDK#}n(@k%N`SsFg
z`M;I9D9V|IWvya!LFwu<^ZRh67EXNhthW_=$p@B8n$MKOeFnK=>|k+we+IAfeTpDR
zfInCVEbu%pqx0>IU_<SRfF?gMWi4yiJau+?PC%-r%|-v2f0colv#g}r&Jr%yV?FO|
zwE@z|J>K!pyLxMutelo2pbA_m-Kl{ouM^m3ta|K{v=$-;utJCJ(!Q2VJbHl#DcnB?
z8iaRo{G5qQEGr)ZygQBehU3)Ed&7bmCd<ed50~V`pzW+yosLbr{{Bmb{?<POjK@(e
z1H2~GHngh#*J0Yl1MsL4{A?apKf77`+ixk2@x#D3u!*>-9V+@g6OgM;LleCnaJ*vv
zW|`{bcBEr_KN&Fc4lV}41nsQ?9|vuW8XSvD6;_*9kAgI2+;pm4PlgCmjsNIs%jm%u
z**C)ZaMw@l8Ra+PSaueX{>B!`Gjs8*94B*3?~iUm?s{u*y~me$3>iwXH>E3Zng@ZQ
zp(4jHkc{RG_CCxXr;GU$uMo+I(Rc}i``<W-2OP=N%Z&}T7yFPntj@()e%_^Yk}%X4
ziRJC?Qj!E@$7kbyz<;I<Q||yycsbve2j?7NhDUL!ugVCXwpUruh6Z@#I2w~8A)v$v
zIwU9)$EBFY<s)U#^(kOAK_^jJdD@gh)~^^(q_DlCum&vkE)0E!9d-{OJ4qU74O+IP
zuKUw!G3q~h-rcmFU}9<!GT+=A>|`7Q8W%OLWeEJit<m2WU(Oy7!}?9WVwH^_7oj5z
z9uD-re#T?2(-g_vFs`Bcu1S(s46Ug@Zi1fbc+Cp#@8!=hOGzs>lB$5C9?A}~r9UT3
z%W^oAJ;Zel$6^`0SD;%zi$#aYO`i^i*0COltPsP-!iL5FQ~Bf~dH1u;6L~M`$*PLr
z5l`6gRcpFCPu6dGPkiIE{&f8^(!S09N>(EO`4)PS+ZM?kF3)g*<0Pg>O{OG<D^$&V
zp)GY-@d9ez!J4j5jp-`osw&L}9-d^=o9aClfp`?!Mlw1c7VUCLEljv+9vFACX`UVG
zo!lUn5%cI(cgCQ8d{+A#knYEqh?<Go6rsLKPpvn-(iItsbPbclhw>itKS8vHQ+j2N
zYmQ5&YpCfQbYPzH&R}LTbU5Eyn64m!UqrwZJwY@w0Nfk(OMMB{NzTZ?S50`QzUm~y
z)(f}I$F@06)_#xJm{*ps&MUB2d*q5~FJ>t0Jg?3<RoZSvK}St@;sS}BRbMe+?sfO5
z=c{o#gQasx$M&moCxcN{8udXuOniD~<v)M&^|lDa5Mpzt3IfNUx^$=RMMIE^gD=J=
z!Yty=Yp`7J#3t705iYz_i+uc{mY$vOE9LVQv&9rzmQzhj<Y-m*?t$DhERBG|i*@?(
z`E3eULBUNVamzu?d1F%4O3pOuw@*3K4$eI7Jy-3(dsUB0wT++3%0g$fQYD(6IOS7D
zrQF%_C)e)R#t1OiN^eTsQOBrP8fqyn@SC&sP^eAo1K<9=ZHy<UiQTHGqD-7s0L{ZV
zMyF|stM-RiA#0$`-$VS3@YTTM>cI8Y<~SSOkWYXLjW&ER3^MXymO~<Ylb>HWbmrkb
zgWXo?=_GN!4$x(&_Xs0&A}84@u7pjc&dK$XGr?K_g`wEle;oZ&4!N3^B>PTmZ7SZ$
zZ5GcfX(EJXv+%sOVK?wZ_^@8Q<*{HGKat0=u8;DwT6T-20)8Wj&!;8y<B&0M#%a(i
z5Ah%zk|xdroK=M><!jP(#Jz*Hm0tIb(DqTbuz$ox?n98W%lG4{t(Cg7ljidMPQSag
zTV7Eqdk_dlp|U9HJenT!y~w9H`?a3X8czT45$=?xp;>pfJC_E0JYsXSunyZd#-1U{
z8jrV&f1x+(zFQ3kNrE5AFFjvzkr{3T!@u%dzL+Gos_vJp>41E5#qY1OaY}r2I!~H}
zWLdrgVcJ7P!N3@sS0tx|MGXD>@sFkBB2;hJ;{CT1pHL-mX5rK3DU-IO$8R{l^3cyB
z-y$_=Uwjcy*v%p0-Vc)`x_ZCGpS2|o^b^S%S20ICi>ZFVw(-j|F^)xcN+!y^Vv9Q-
z)Nh3~@hL`+d*#CAv5x%jTz~@v@uuF{eht_t_gdE%=WhlWRw)V3z7~y3yCv5xCD2C(
zrOzkfsgZ>f30zsYidCgv+e!h(!`yO<w@qE`X^^gH{^YKqO5d`FjQY!#3tSTQqO;dE
zi7{v2$8PxJ?qQAzP8c!bkYHv@Jc9ytAqBG5*K%9+RMp?&%1ng=lTjTEPU9I9QS|u{
zI%)Ar+1h?_=EE~WgqLucpu=K9G~yH4Q9nx7`#w}@I7_l?mJ}-uEVB_D4bOt?ExQzQ
zvp<2adHb0ZU8^4&n4&>S<@;ij1Lo~VYaO)@@XUxzE9TO-rpjYo>dKpzhP~nJ+#mT6
za$IQRS)PfN^^HvP`u_rqDJgoiAIArw<{JSA6fOt;<N@b7XWfCObjf5l|K!cL$X`wI
z|3<b4N1OgqJ=z+oXy=#E>0rU*`g-(_COLBZ;hN)OQlQ<~&CNFz>-FeUSa;>u)4zv&
ze)$3aYA~5T(@^*7DN6U&^w{hxRJ-=N9bXq}i!Ettw{`^OSE2{o`lqq+JX0Np*|e0a
zsC<wbA`C3U@Tq(4u`rfY*LV}6-CC|g+dT1M2iOSHMP-Y~z&D-x@0fEWA*3kyBfh$R
zNUkKID?!cxc~heSp%)W8MzVfBM!Ty*&43Wez_lY$YruM6vdJ752of!t)cySo4tM2e
zflQ9mzSb&CDE^R(!z76EeKZ(rQ#YTO9Il8E3ZF-tHC&ILQR(3JeoMKvd&5BGT7_2c
z;iB;sX#WH*Nsh){FG<)y0g>#}>CRVaT}&H}36j1xR$EEw?5g>VN;Oa8<}t44L#fZz
zk;s!Z?HqkT&@5QclF8R21v73^Y!FdJnK<F~oOp*$@6w`yDMz2uC#vy_yg#e`(7&pq
z(EfEZ!xP4FZaKUTVovGk4Wq)htx3(q@fUh&Yc&;du^wk6^1H|pK-;l~X`cT~S%1T!
z{dtJB6U%hG=|jH&OO3-}43++aU=Y0&cH5zr_fGc31fhtWi@cgYY5-rhTqCKKkInm^
z-b;Vjz3P1r+m-m}yB;&6X+#M6i;1?0(9L>>Qn+jPj|xV2tskx$;{KWYW4iu!wX*@9
zh2LlJs*L9<O_SeDP5vuMCkW}22=@_0c1~`VrS@s>06t?uM#y3boAVLs|7r?|GG7~5
z=Xw6KjIhG8U_CI53h)CAXE{$-C}mw;{AFy=EnE3V`Z?V2$NIZFBT1V9h+53V@QC^7
zX58Dk!rW7GU?vMV*>0pV@8V9vnjg~H(F$rh#`wFy=EKiH0DdSr+d_7pKSCP>XZWhP
zIu{maVSbOT-p&L2ew@KS=W*wTx}S$kVTFH%2lMud9MHCWqZND0I8=49p3zuxbgyS+
z(5Vv@J{glzTjg$2&@NSh;QqatbUabtuZXzO-ij{o5UnRwJpnUUay;!*Ws3ajgylt<
zL+8E(68lkw*c|gKNkJbL$3q6E@;Pd<1A|d!xo7s9)A9z8FLA_Klfjp_L+5#K_vm}d
zJmVx;o0wM~fRm2BzuJ+|Hr>_SV^bB;P4Xg;y;89)nH0+wu5>n|s1(tWnQ*zHM|P!b
zAEL@-aSlh1dTP9rFC-nl$j928OOOm4Ez@H^$3j}3X&YxAC!k7ulM3^T8B>fd{Qd{>
zhj@D7KY6-y(SA6u<|r1X{w8;8yb?G26iCdmRzXzWv16)@GKU+ecb@qv10=`RR^Rp_
zNb<zyJcW&Sz(sE9FkZ>O(*>_p2AjePFM6fHsJ(t*18aQH?u%v<GSFZ7AEQ|W1L*3>
zGg>#jh(whou8pn%w`+JN(8#r0e*XI^y8rQW3dFxX`S>w&eDMVNzCGjDtikIU(HVPV
zsrJyo&X=;;ae0~6D@kMGk(LY7gxty+F(p61*V&)zdE7NZu$^!RGE+Y>e6!^uNHcIl
zM_||DDuKul@X8`~rlQ&+RJN)+e4GQ_yEXYOUeMQh-OW(~GSha=eStmHj}mA89JC^^
z8IwRpj!GY9PC`fnQpP}#LsF@_C`JVRI=*UXXxB)k8}%HXs;bl*&ENX31bw{mLHIGq
zQ%}!5Hh%#AWdLFvwsj;f3&2obV8Z&5@9Rr!5em+YWEjB_K_57w&?cN&jcH0QbU5u7
z5c!;jR&*Pm8;R#X5<*pzwOwX7-RIKI<NW3jD%ZeOK9tc!o$LEi0P6b6HErU#2j&%;
zsM&ZC2*2YzKyXypYxh10S>96<99I(@BmBiwOq!CrDHNT?s--y5d$0)X%lJ-#tP1qo
zu6R8WM)$72<3%HBDYOU3MHX}TXeu@W;R_b^)uivoS0h`V+~pxXASO2Yj)^U4jA3uf
zRdltg90`p%9`6}%P5q?@!|(TOj%z6!c(m2N@5jCXSR=F1@j2Fr2bw-yz=vKlI)%#=
zi1B`>-j@akxx>|!Lr=d0{L(MRFyNY{r=_hgImvl{aw;q|b{#y1d35p;<FT*2P$_FN
zQ@&tuQo6ht@xi*rZ0gs8v}>LV?KDWV3BVu{-%z^eR}xS~FkBW6rD$&Rdz0B+x*|w)
z2O@Av%NMpr#ec!MlBGJpA1=#sy+eG=f610~Gb9G-{)xwDin;6W`~p61%|n3I8^NX}
z+J?@@VWNlk^tTk(e@jL9t#1FBk*y%l0s91|&s{@b-xnFDr}@FBP(NwP$FDn2dkq@m
zCBrrMD%7Nr6&`B^9H%J2?bk;^0d9}h%ZNVjW=oH~7d8LD%A5w|Ln<OT9C=HGtFP<z
zI;8fbGNI$Mz>t6Pil37_08pzLF-ipJ@EuRhD3?>0enXJjVJu2MIQQS6!+_-Gl-Gda
zyueBo#PM78aAy3j`Lqc6KoV6iKjM5j5I(Cjtubc)R+^1VW(_K3cvV*A^|L8CQRENa
z{!@))l~LF4MO@&KN%KlvLuJ5StJh*PV}Rs5_oe%dr|(bLsgRWkyxwaQzYg1JW2c6q
zdbjl<W3Gui7ur@Y)`?1HOe`!|ZL27r^T=0I!56p_LKFVmdnjeGzKv<U#a+1+KVKuA
zV7WIT`<Jr@YoK7<S#qJwmAmRv)Z#KN>BYD1A4t|h0Ty={PkTwxgXi}<iEDD$;?hck
z*`X_XTR%lZ2RTSIso#%LK|hL{)z7D&E7opxJAlw>Z~8*`q3MrD+Y`RlhaTJ8V3Q*^
zy_?UT@~*OF!N?|wzo1`V0Od8;RtfXIw_GbYb1ID*oN{K|CF<5krG>@I?PA6_5RV;9
z8&w-tot=uHNQ0)_k==^nba?k$i!U)xUm!ggX7G`snHR$!y-;U5<g|t}j9PM@3JYGH
z{x67FCccSN8%r~N6j)fqkV%AktLXvVNtcz0?K5RWm}ra9q(LCVw7{n4hJ}LvWZjhU
zH+Smn^2Wv3uW?zm5h4MLpm8M>?3i=RMlFi~+k&IfSEO^+%N;h!a?Ut_s^-!YQHb(+
z-GjOu`Uuo5DnZh8QLn<;PgKKbTCXaTE_6hM<yYZe(ti7;6*xHdB@|7Mv1TDXXDy{%
zx(k~5&LjoML9M9w3Gx9JT~AgdYQypsEY+gEDjF-a)C}zq5d<4%$8Ou_;EBfvSlp-y
z@n#>dU6pNm(f(M9iAmcVn|x?}xsjU4!q-yVvn#U@VEsu3xIZDPTA`t|dg`*M61G&4
zd2&g2tlj~)$q(sDmLeBtnYRf3DWN+JXU2yJVlG41;6o&hs}qC)Jt95hZ%M+Z@LJz>
zK_&F#fpOLoVykT0b1J<mu-#_CVP}V-0o7K)F#4yo|Lt@Yb@G~XjT_>y6j<eX=r}tp
zIgBknyUO!A;(4r{R}HDWn15%oOZC-?PG$GTr1j)oy(tqGl`{i2a0*27Y&+*&n)zF2
zKoepmZ+b{iCqpYZvuAPVR;$(JukfzPUc2R9z2@svwi<H0LRcKj^uN5R4(#W0HfHQ;
z=BhkeLmYO*0$O4L0rBum5Hla@DYfm1gJ01!`tf9{OL3p!6`hr@P3L>~d81tYWBEgM
zW%RxP5DX`;7>f}^JN4PDW2`aHyjP(aG|iK71xJ+q7?B4A+9M#Vm?kTvJ`0k?39#qL
zwlA^v5vl+AxkO3_1Obwi6BwYH`3Y&@w#3@c2DID0qY{)`q8MJjS)0~2!*2gYKZkK_
z9=A%GL}Lq~Pwtdc6**{6aRqHd7CRH_VwMre-&K^3q>#~62>Hgw$GCC~_R(u7#Eh4u
zh%DuR7&Zv(cA29N>{eNe<-kWP0xKmt$BLV)Eh3r=9K3TzsyuTeQ~&xWp5!0`u-@GT
zxm+qJ_9<`n>4xrR1%jS|-M{@0&z8c&YpLByMvsq4a}rKrP?fucRl589%Zrq-7AD6e
z@7IN>qDktfEyC|vQ*#v~Uq26x#*YZ!*HSy(j2A9Qv}rw3d-HYrihAM6$jYhyw73zk
z(gCeIca*czY@#8@%xT=)ep654M^RDRsmC_MeZ;`iWJaId+ELeH{1IX6m*hSIa3Zf+
zX_P2gn^?SG@_^f%9&tJv)etKwZgn|ui8-Q#<4?X>ppVkz$6%zkw(9east|S<x6`WK
z@8&-y%g6f`L7)(4$0KD5=i~$?r*Rmi(0QVUb&E6ouICr$Uwx>~u5aofC((n8G1my)
z@E7dM&pXP7Il&*oNAs5j8|q=a`~ACE&?YfHGt3Fzzv81kQTF&08x34YIvR(`vYw$m
zz3&&y-|RoBc-d4_v-et!6ejJ4H&v|nlniJU^=S^G-Z-Q%`^3+FOHob`R{6W$4f5|8
z=YgIep2+R=H6Fk-Jg2JqD_#4&j85(@ArY9rWan|8$A_zjjX#gaC(Vq_bAA+`{0Zt0
ze>EQ5rdh|xANcFIuPxpq(D&D=Ov{LYdvW07lM%wVdi%wpf14biRYq<Yg1^3mH`?S(
z>T5D7c|3HwF3=^%YwlMaNwS`e`6O6LvVF*`cF!u5`2vGu|4Y6>Szf&*iQB{Un8)pz
zUNd-eQQ7-Ng0|_hF3+ipdavwWUzFzT@wT8;&j$E4Q2>Rd2<4Sh>d2I_q|UC0I3xaw
z458E2=bmHv<BRH}Gk1@7Qktf!9hbvq=T}C0=cf*g+}40=)dA;i6Asm+^g}7fouX#^
zA*#D`P29qde>3i6730f(l;Cu-ypMW2HWELu-H-$RBp*Hc8+DoXHnGA9;Rtp<*yV)1
zlUUhY7nXT%>AzlBeLyX9UCnx2_}CL1RqjL2#fgW9s+Q2zRi!O#qQ)73NfyoCU{r)s
zX1J^x7MO9Q7N9pwZao+;=qveufO(@Md;jOH50}8PDFTH)lX>QoGY^!n-Df~}3gCA=
zjDoY6yN!b$G)X+e62^x549ojD<r0z3cW~DsF?|r>|H{E_3tYlw;LF6B%Y4tDFVb&=
ztt>*%K632Zt$f?AI8BQ_r7!`|)ZqeZhqFy?6S$vn3B;BH@F!}VptyMkGEB8UlI}^Y
z4L-GM6;YWNmEUyaPt$xxq-Hp%44Ka;^`7jh8DHFvF>oYH;X<!eeJhfj|J|74fV341
zao*QF7)(~VYo~mp?w@|953A2QP;wVgTSWudXQR{)!J2(hCNb;$vpGa<QHq8EEf<)Y
z_~T!00OtUw&Vm5%9Zo%nX50ifld4i;%tFTs>Hbos=zU6oBfDu>XO(XCphusG(6Be#
zBt_YGu#+b73$K9gsv=)C2fJ3(U;FE^pTvrOH#OtG6z+IZ-Jt8>=CcJJ4&TX{;0>6o
zZJVC<19$+&Cc6UsD6y5R4c<m40apI?ST3yoYnzv+*p4b{Us)mQ>Hv#1@<Q#dWr<`U
zn<#Sgp#N`o`#ltV!!RR6bbPL9=OIJ|m!#xunLlpVAIeyDHRbO$CVO<bFGVICx+i>i
z1K3Em-o0GxCJ3-@+RKy9EF0VNaw3n+fXoIaoyMIvb|v2Zl&iMTmmtToR7n=gL2FCZ
zoo0{vy{Nnv#DBvPS?kF+YUw~W&msTPPFgOSq6@9!;Awpm5_r?~|0r{snMb!V;e~DN
zwC4ZN&&Tl0&FmXt+c^?l|9E-rb{xTeF_x0q&Nlt>3*C*SLw|>Fs{i@Ucz;=!&_0%L
z7hiQT$y=YKjzyXqBSl~*T`fos_f>TWZpitVptP7Ko+bu<ex#`wS!-*uNa=MVzvpc@
zcTa{r*{bCipIG}{aWdpNK8y5B>F@YG{@aiG0m#4l8pBNgGZ%pgQJK;+woU`g>WLP0
zXx`JHH$AyM_Em3ebA_bpIV$CwI@)Qtw&Y5Zgb4)Jv=~qm>g5OV)e0ym>jUuCQH=qQ
z4Rj+9SncUtTXp($q95fD_|2?_Ze2vbVGfa6=xLT+n%1z=yg02fFg2!1+c=rdLsfZ3
zr!-a72ONK&tb1`xC;FH3nVG-+YIr{h>4tO@asc+HI86;n!VUjg5;djf1c1zxdese6
ziKK$x<sv08HAa~`q9H8cr{*N#l^0WE;M0!OiIyxd2`gV|$Xk{%;QbXb-*z)>nsP;2
zQD$SI16zf*($G7e6TaU+f^XpcE#|$1*sDIRJew2dJHi*4*84U&2xd9a1Pp-t6R^0=
zn$7)&h7vhzrQ9BLsi@n*L(#g76f>J5&~%UFA5`J=(Jfg~$X7rZ-639<R^oq(H6gx%
z+||vFmiIpqc#X+28H|)@wO-1OcSuc|JvUsI_;hzuu2Gitn$Cy$-m#gT4QtL}iaUS&
zP@t9^Z?CQ8VmP&NmYUvs6Eot`7S~hX@tf(+emRG7)tGbg)}P`TCnc|MHX9du$QM=U
z=ZKdyE(_6BXh|3y0>fj}*hF~fJ)<vO0WH4brqgh}1HL9i*UuazAY0`VJn&R_g7Z4F
zY1w%>GiMvtVwe;7x554RT)m23#>ThZau{QKv%APGfw|P$Z8J1xIS_K&ae%H~nzfsy
zQmZbHGd}L^*L{Og=L=gk80FHlpH9<x`<&{H32?-r2}j&ae#`}X*;}%EC=E7dL(X=U
zhc5vGoEkIgmW<RPdlZp%Gi2K6lJ+mlG}EV6b1=^E;T++}QthbnQ+SBKh>z#M?Yk9j
z5QCi$t3{rFdUZ(2L06V8J^;$d)0t)7woe!&t2s#Wq@dYqj@YgQvOU$(=0x)ZD&z|#
zp9<d~7jSkWXG#V^O(I66VozbzA)bvp6TPoVaiSQUQQ1{5EI;RXnC<DM_a_3p=wyAE
z5uEjSrM!yOy*-3hRVa&l8%`^T_myq0k(rA74XV#(^x(9Ti2>ca4Lta!W86Eby6e#C
zk%?JgoVE$g-`q~u$xS+yG_RH4kUKD%<Xwa9+n&iZA4XS$OXr!TpRwseM4TH^8KLd7
zk@XW#zjds@yNKGJaW_uS-~BQ1w+$LtR<tfVHl2@@<)q`?{t*gT2uJu$8XU?M<qik<
zV#Q6(pW5ck&`j?fnbi91qekV2v83<du*1;-{f0lphHnt(pYl-ykAnqk<~1eDBuntW
z!r~ZinY4g5$P6W&jO53d5GIF(=<yYdIxI>SQmzPzF~dJVXAD`1AG(DD!O;NM8=hoF
zAl85s3aGHO;%ppLMX!)jYD*n<<QStL0?BSFh6dwKR_@fI<iMRTNxPC(<KNx1&|YKj
zvr;5u^z>l4%@<8^nP~rPP4uedf#hiv6J7xU3YdsB3E*)WSDu~43YEPX#*?le;!>n@
zHs#Py0w%s`6nPsL%`wajjua>NyZ}KuH9Mf>mu;>5#A$p3DN_0*RzsQ!i1uqcrpV@}
zI>jyZaz=zT>^YuPk$JJB2Hh)`X9tL-OoZ{684As-6YxIEDzQ4vwA{gZ!B};wC8ClQ
zKZvevxo{lB;z4V2Z9^cVYRTqHutG-Y{6NO57#^PQW~N1%h)js1zn}CN53tJd4LQj@
z#H->SBx_3EtLDFOjTLnTzg@4Md|#KBogaE07_UE0QQ|B{nl`1aQ_I5g(BkhT`z)Kf
z-mpF;l(gwdjnccFM*kT(x}4{G<P_l9`XHuDe(4eI68tVHfi?`ogsZlSO_fPgv`+K-
z{w%bhJouIP-yNl0Dt&MuGWK!4yz~jr&UGG^?c#m8I-6!p2eSjujx5xVeX~ye)CU}0
zT3B1yLe%ONQdUY-{v?TP|G-2WyxvGw+(@34HTT>qm$lF_vq_poE(>36{2Q9c)PXMd
zIAsnX0wryG$7-C-S^N<k1r|5W(@=7tqp=sd#V<~8zV~yB^Y8j_aqL;aR)Me?q7hVk
zxlHL(Gv56_Nf(CuPpkw45-P8>b<_P^dh&3^PB?2uWqwb=B;4Av#mH|GkiBm$<o)1s
zsFe!a8@-FBzhNI^64;;dpv;L+Sta#JA7~PWd-8ECeAt`5n>6(^btRMmAzYgE^S=d?
z-T_NiLK}XG<yzEs7^E8SCiM{Azw%z5@29Cjpqkg>TY1mvw_1rk_eL#XFlJn_1~rg6
zX(LTX=xPjmkoH_x@*8`@oY{`}%Y@YCs!&s*uK#$m%-(f9T5*3`?4!)@xo^pph!TMG
z&y^qD@-8#I66>luWf|`c^W)qqSw>);>WbIcGAqB>pG+Qmiwe3~9u{?vU3~QL0Vr&m
zsp?9Xq`73{!Ra4|fG2}hIjv}|$QxRT1<UTlLWVN_@-}#pp~_s+?2_ne7_=iPfB=)&
zCr2MGUZX9HBj1w?RcCMU=ne_eg@{5Jq-8FOBcnb7L_+0Lf#TK(_+;M9cv2Za_>c++
z4gAJl7RhXRLl4Oh+4mY~#occ9uanUvN5;&ngS7lPKQ6o>1?gTjS}&INyS_MH={GUo
zeVem?{Axy&HF0hITD8QB*s*i3T$>#7)7v;9v?CDlXbhi9W8&3*<o}wkn0j~qI-e{z
zdM{GcR}jQq9+doOF?0Lny>QpPFiW=wfI3ln4_q{)C{{-wd8M|1zmb$2ur}ZA-$0$>
z+`KJEwb9=Dm|rbQ;t#a7)PeT9I0S5l6y^CriuHURausM`6|@U(qKgg=MV#u8h%<eC
zN2841ZQY^t6oSiCKKkyCuwT`q?Iqn=PE$7(a1XkBx$Gsg2B-K^Kgf0$d)s6d9+!HB
zx`*A8NNjxCoWIJhOAsq*{aP+&*J5vSsunEn9l=GpnG1yX%gscOT-Nip&E2?}<<Hr~
zYg1gp=)FQu{98Jzt~>L5=RJzt=(Cm+bi8$>f8%6m7tbAU&bCc7RbhwDhk!WZW9XFK
z#mz&wkO`p~q8K_o+E<+@irxJ^Kz}0R<oL4SzHm=6HPQl`hHgPy>*K(_%TO{?waY*_
zTXkhOR_v5wL~AV@7mgcm_~vI_Mi&7o`PP(J4w*<31xbN~ox$o-d!P7g7qyC7Sm*mF
zHj-m5`q21(+#8Z@j3vmO3^Vb$Ox?M1#D<ny836$L_Xz2M0@4kM0?2W1t66s`t`O0H
zZf;3{OUnR>tGj@DIW#avbM#riz4{p82EK0g9Jwf&>!gj~s&xdFz9$hctI`%?`Iq0>
zTvG-OHC%&mrKgPBEj$UdrqtRV*ksCoIuUB`m(+$<szC~fc_$J|_KPZcrU@H}YqDKR
zQE=7XV3u(hV&@h$hzS#_HxC<UoVB#ZzZZn&g8aoOVVd`MMMO=>maIykHuc%sqllR!
zPb4wPHN<bfTT9OA-$_VgyB8rSuqFa_EVY#T82}RTdJm&A_l!4Mq7LNJHzMK@l*KQ!
zP|BUE!Ae?K#;OA`<^S<fl<V>;&#y%<agO@ZxS)k*62Txw)K}n7Ij@?3A{5;J+WXG8
zCc9;Cs)(q01f>{?QdNXdLr+kIARt)j9Ta@%y`&(hARR;n3=k0o-GEdBNH-7&C4fpv
zKw2;asiCFNUiLokwXc27>-!&^`_sCvnYq`@Z`OR6HEYdEA6O5558oBrow@O|?5h;e
zMUU>LmYcV};AusrN*rh;kJ$gV{zuX06wSk;{4e<+%<nVaBe!39mp%Qu)WX^Lu3tJ%
z=E1qu=+Q=Y9YFNxbO=`Xj5t?9f27#O$5kJAAGl;QiX|wnKT^yLj0R!uJ#GSJd3uj2
zcZU-I@v7z1hgoX(+XRZcZDe&Dl_q!dSb@Yv*2JWFe#q}}`10P5y1lNI)Get=0jChZ
zh0LcqW`a7`6RxFm3v(##%gJ-OjR#0V@R8av3^P#4y_zFn;<3zJO2{P2Xpk#6k5{4H
z`0dBG`VLWH9XPYVLf$~Rx!I$pYt)oi#swH;HJvGL?kOi6xX78rd!*6U(Q!#g45(qY
zIUXa*;!7KQYAF52l<aqQ0Td<DCOf+Hz_fRMdT`73I?^E<Td1|I6Xw_ISfpe9O<}Xv
zO=M1K;emjsUkl<@g1vC_E}&I&E{qxF+qYd1!~(b6T&JN=hx)r2L!UpD%`afC-^axr
z0S*IB>{dBJh}3)@fr{U=b<8eVW$>HS_s)qH@s!#y>h%NW9GoSvF`bnv5CPsv3GqUH
zo{&ym4Q&flT&)TU1}#gEBK)JSJ5Y)}PqG_UGfb-_wvA7sR{MbAmFSM-Cf2pY)`shA
z3in-n<C_yNE}0?(g<SKSNRN!)(NB8`@Ejh@YpeTq3VzyX^G?Z}gSe-O&03c=i_;jx
ze6)`z#Pq3qJgB+z61!RCELfKM1ZerAU9(^Tw_B4DyLTEX_l8>7Y^(+EN`^FsFaN&Z
zDUT@6M@+!7juZF}s2B0i<}0}(He*2^vPTvI_EjwL<R>xP^XijZ9?2@dBn!Hzf9GBP
zuwWv^im$k|4#y8+2C78^i$lN{Y@RvFq;DW0zm%+;`lh|j(C^1(Udq%t8zRg4rzMd?
zPy0n6v62h<`b9>-YVax28ywCuC)YxL5C1lgd!$2U)I0H3CEEBT+1HAG&q3$B_{B)?
z^!*1L>AK(}z(`Hu%k9efI8G?uYE3|;#45>WnGF9J5)OsIp`#ytcG7>E!{_a`J_<M!
zV#`Rp`@cRQ_z$|myNRo(dN^xSC)Av2Is<pcZU&oBDy6nNtp*K9WW#t);Jzo+ieHKx
zpPfffL4iYAXB%4kuZCAh?2O<wTaBjz-&*bF!4cf~SpqR#d^8_R;n~R10#HKcTE<48
z^4zI{&kxfl0tS#2D#mT+Zab6}wZ^qWl_y?mRGgaia<kJPwS+?e17I^2g#GA5LuzDd
zT2ssiA$?DEO`RhBxC3zOnrn^G@iX7g1WVtkI%;*2lDS|@a2%e=mvq%=DB8&^QSDF(
z>W#0+;rhPJT|j%OG+3iqB#osNmBaS~#rKjJ!JyGO6Km#t#2S&0(7H(%vU7JkHhIQ_
zkl$?!MSR578BHhzgv2>`g}emPp@~l3_dj_8x~RUA>>0iaTJK_qSrpI2?5U}>fF^;@
zFElS#fkTyW1Is+*FJB<WMSfX}SihCje6L!e0A>t3Hi~Wx`A~UyW=bMMCqLQEH??Js
zHgd&1p*6_RCizSw?M~Va7XrggPzfvseVKP5{8Y+`5{~($W5}`lIN$a!Px5>3kRWjW
za#ux6f(FvkiHHL?tWF4Hgks1$%VBIR!*L$P-tqM(F7>c`9Xs6AvhI-U<-9_^S&hFK
zB+NhbLT<?zvE3I#JFxoGb2w=$R9qVC88b)q3+;1LtzU-%;CiPtc${odP(H-E9r9pa
z<wDGC4eeDk<;>&{oWj((k##HYwsf^rfFF~8xm#mVn6lQq?#i4ix?0kz&9b6dqAB)^
z<5k41t%aAw!v<T@duPl!&hhG}rJS;q&w`NLjs|%i#|!D7%rJ6&C#Z!cq#SuBRwZlP
zd@ZM4<r=3LGq&IgQ%N6Ba4S|3H2Hfd7L!s6Ir2z2;k@@W4xb#f`I4z-jR<rmst(%K
z4p||`yO6w6%-f@9n|GKU73^0odxI88W+2p9;&tINO7QaaHw|Nsr)kyvmhoaXtuF?z
zf)Ls;|A!HD{Z<}nm~GaQK)j$eXPeFz7w={BV?4)_MX$RFid|1ShjZqU=6vOJG%z&h
znz+}J`OU-AnW}L&v_tZPc8(|<oH7+rq@Q{xJ1P0&C}J}`z}Ee-S@OMFgk+75-($CS
zDLnaYK%iINkMtqmDF2=JR_3EQfq6ziaNA1%QwSm}wtTu5@$<W~M?wL-@bQYi@taqh
zwv|BKtmRcgNrtLRmyMaIEZ3&?123|<V`{qm&p`p`(@%4+TIX6_IV9NGoAuVxF&g;I
zfEMz#1Y%@+cIQ8;x{p){FXJ@|o_=T{U*EUB9ZxB&aU6<Q?rV2+EP5<;c&$x%e@=Pf
z`5T3(x^5Yv>Qj2(5`2pkv<G2J(q6U-0v=DH!Buo#7_B|^gc};XIg|IKkNUXkv}!`$
zWy`VpxqG+GS_4%rZua-a@->N0eKlS>3Ze#NCW<5rhE<*bfJ2#ljMK<CP$((x#%YuZ
z=I2x6DiSj2<t`H#9YHPa0~&}v;#d3p*YilAB1KejH@Sjt<9TZG^LrQ~D=SJgOP?_D
z;3=GTfof*5Y2oGh&<zyuMoWhiF0ZJ24cCN__gFutfWrPNR6x-&_vH)=gvDk7KQ~-Z
z#R3I)n7}W&cPG2Fv=P|zTsD&L)^15c21StH)3td8)&(&Od43N8MHe^m!Xd}Ej!wCY
z!sAYaKXMs!i=p8}Fd4R|5rt=3-9H(Tm&b6?VYDX|uZpoW-FXz1GBHvl1iV**bQqBA
zd#q2$FPkGT-EqM5XFB$iGNV2W>`q`xx>aczlO##xpc4FfYb6Mf$#e`Sh*VZQ?3|E>
zjVi?~P+AbqD>B7vF}o?OZ>53~l*f|88#k6F4LZf*T_2_RR*C{mSP{T0$67gxyz8o0
z6-#y>pKKn~YS2B+@ETHaLDC9`V;dd_CHW<;Zkkee)tX-eojm}avR&#iQ7HBsV5^sS
z(8-EO^O@e%`B<(4WsouVs&7^c=^341AFCI9J6)mSk?lFEJpM^b2sH`1kCCMRW%s^3
zJTg|HNfc<H_Hbjg`^<^0-NeXF%;5WkJCU-O4p6W<R@}PjoB(zf;tMo_OmjY7qz&X2
zbl=chG(yinC^+$2RbhilEk+)Ri<FxUzSvN#E-E{Eo%DRb^HSX_y)`SUlK-qw>+CBX
z0!aDQ@O6%T*DIe)Y&<V1B%J?JXoI?Eku}w!Ow0bM<C?qbiuN@*UL^G8oq~?4-mH0(
z__>NisG5ndG|EF;NWZOc>~Dl^WjG9g9g`S0=@qwcJh?n)(T-MC3nwq4ckp*Blws@#
z$59<&D~$X_j2m)gK1D$z)r}Y_l<n8o8%sKN*ibmPH=sPIb`%8m6dz><#&pB*y*eRD
zCs{|U5}Vgg`R4jBf!d$InbKahTUK-u6EFE&X}Pc6NL+Nfl?7bJL7_bnUrJ8;Pv3ON
z5mILzA8S`X_zTnRb#aCpU<CQ$qjfPR4jgk~H4y;I_GO7YJ>LIODKg(=e9W(Tz>hB0
zFOFklmy?5#L0QbsjP*-+4&B2dE&t~8v-~_IqrxYz+@vna1_+0zTzlSTs$*&uuHzD$
zbv{av=h5*i!ROp+qh=Vwya!mG%Hy)GVQE)<(7Xa(t9)Po`OetnQEfnzUH#wb@j*r~
zm-vpc-~dyH=69M~>~|TNhBAbQi>dAH$4}Tm5%m=Xg(n4cgIsCeGW;*@nyP8LtKIcF
zKad;rN?gR*;k7q^G0o|+7mUmE(m69839#AN)9E)n*<7jDt_6E%X`@Y-xRiOVBNLoX
zV*E*GCG0I421a<GF{a6BSxrE0sn8SXa-xGInNK?|Re?I$)1f}m_ELJV{m$B1a*c}q
z3CfJ0w@4w0?CLqJe(OMV3Nbj+q6Eph5%(F4NV*{xYn!ocg55bR9A}CF2kY{s_9xIK
z)42do_;WLM#=C1$!ko`<g@I2iwa8suDY>DScI{=WdP{=Wa~Rs2>RRwzyyg2<iFjXf
zZmF(Xa>~{~T=9EMbhS59q<JGDG7d&axWTP<&&!dJQa3?|2DE46BI(~7v`mVI_3~|*
zi;MP9V~fAEx-%S`I!)7=q3IGcLTOp`HCJ{O1x;d>E@62D5Etz6z1l>kn}F2*S^_+3
zu&~9m)KcFgLF$0nwUc^`P^GG5vE~-*ryu>)V3*!i_*4Dv0kdyp`dQ1kyZ8of_3)Lo
zk#zG`ghAQ*R^&CChxcjZ`p{zM%O+D^O*lcl^Ln}oT5J(U-&4%sl-BvChR*QXe(lUN
zDCWg=^<tTjQ0gM&@O9^cB-rz)mc->+V`zxrLBy~Fan5)O98Wu{gs3`!UDl<T){`C^
zqZil4zO_a+H}TK}iK}G+0NZXm*YW9TZt~$yeum@CrmV*H^9PzAjr$ZJ^hAhPh|B)x
zM&Xt!VD0mww!7;pUo6}hfdGZWj6|=O-|wtl_qaZ#X6&qEQR$@AfvW#8d#ZLS`1m@U
zj=@zStt(pJHpf{Z2PG8|w!wND_Fq12&1Ze4B#=sY6-eI`>gHLx)mbuQo9-g(_SI%r
z1Ok>$mq#VtNUw<5TWr3O37onwUdx14#e#~=b&jDsFzh}kWv)gYlIL)cAHHDjvgG*5
zLvq#*99r9%@R=vKw8UZS;;vGk&W1##xAG^J#b)=-CAqq)dZ4|BS5wiMR)diTkpmOc
zkD$I`=OQRY6E#6Tl&|=AS3k{uLBuwx!>VWCLmD8Ti>$L!AIr7*q&&a(*ujGar1b8V
zU_?tmWjftPWpfVn;z1=Tvk3CWkf*;4s!a5bLra_lxmHxM(y#o2^E%&bDk}-(QKhIc
z{W!+ZVX5cH(J8BnxyM#v!FGT+H(tp;epDx@#mqrYR8FSatu8nsoI`5GM=1B3m~-k4
z|8<>cN=Uq%21(xGYP!@cp#NSg(|jXdh-re6+`PVf_FD@x3d=M0Q9Ry>02{l7up7_v
zA3J%xIzIqG0XCPn$+zN*r_V~jg*N3tx5qy2Z-b^mEEAQYRG+4{LLZoet9e-mH-x^{
zFo66dmDQ>SnfMyH>&!0doW$?i29`_iCm6fr;L#zyBH~}`q5$UX&pz?k6KIuU`cON%
z>B=NbD%dsQD&DiCn|o*k+W9%?FlPW3Y;6T56wEydJ{AR$DxOYQ{Y!CqZ|#I9v1AQ{
zi*t6bUvyIiu?fkBRFel}Jfr%)k700IRujxO3+>JAvW8=PRhS}z-kjQND2`}4&Kh)q
zLXP_F{JqZA@+7?%lFMdR^l_ID#>bxbTfPkiW1}?|$h(K-WShR0o96TA(qsz5FnjlC
zx8bE+w`Y0I!Wrc`we(jKgXV%fzG>Do$3+`Bmie<}&vMi}f;qg!z0vMF&GGAzC<gWX
zn!d^lQG4=P8$CW8r=n$?Q9GYxZDNqQSxpWefa{eO_w!R4)QLcfUEUwOm#)>$cVag%
zi4AmUtE$icA>D&aGm|13&0Z@e3Ld#`rza9dZHo%#VGHntx(S`KI@~_?yg>YF5Z@mZ
z?9Zk+-M){Ym=@#XEIlLXO@|RE<xI==CB+#6fR&n;*Ukr$^@U`4s%5LV0O-Ir9f_J`
znzi7?poA#w^Q!}a@{xrAnaU^G!scXLY`8EdelXjh^42E(zJ+KnP}_HSVvW~4uuRf#
zPmWZ12CacQma<st46n|-oFOI^E8=1Pd+ih|m4And6UoR@^#~xnbIn#!HpFR)nXPQf
zL77ymF<zZ&0jwF7T@Q<xi?t!>Mwd?!9D{|u<#egW&a^jHQ%soD!P2V~!cY@0`|y@S
zFc<`kA42X*v)(GUKXaMG**A7tg?jG$IsijdB*iji?6UY>j$_O!ji8=?5An%(@&lOh
za@CkRn$&^kKG=$Nbw7f<J2V0UoL}G|y5aP@yY%U%b<{<52+RMvxMPFmP#1z}sw?lJ
z3kGcxgu)51*;VJHme5k?81^%z*L)V=e0*)7q3hFkruwcpXq&5AF%tkGs=^J^<w}t6
z>P}Vgy}l{^F;Nyzh#z!Q+*9^Su?O>=d5Ddm`C+?I4L8_%k!4q+Xt~937B{3rZ==lv
zpMpYykBC<Tmix7gkq&(?3uZbHgtR_20Q0oWOwwfPb;ewP^I>(jBD^el6!e0_=@;jj
z+>MP*VPrAiWx8CTfL6Qq4n-#J7Q0w6oZH6zRAV71$5p8P6Fr67d=lZM7c3+?Aa9M2
zD2@qF<jZl5pcO4&IVw)?5A>Z`hCm--jsJ4E>VU-KOZ%m2XZZ7{Az1fY|8Sn<4`5e=
z^xt$^y>>`K{bm(R+xI2>WO5*$D@?tI=4Nm=p)vJDuq$wi)=}~>Kyt|t&MxBCe=|xw
zI`h#Wt5945vw40y)5Fu<7bv#bE>a8hSIXah4JE{%*9#xqseH3MlN0IXzZ=l#4VFh{
zma`HM+^<9m7_>Zd8B&JyH4&0d65jSJehV1MP5bqi_qQ{8=NNWRAqzT(Z5`({%J;g(
z!fl8+e_GDOO#Bjou$!PO1fP?i<C$MOb=XO_K9sx0$YDrCdF&hlm|jNu+w*ZjTpD;*
z#4#h5DW84rG4>6Pfd;WQ_&3$8U9(TT?G&Cn=bk(enPW{;!*XVUqx#g@UR_k!t0m5Y
zH8<4KtIG=(7`K(HfK78g&!n!w&h&v}$1^Y5c?)D6v?3cF(tuiAD$z9!WTZXRY0^*e
z<FHqNf{HpcsfVKc5>RTAcmC{&H4a%=#vaYF^m`8DY|Z+>XGiEfqniD~$Zs>nub?30
zy(5;vuOS6IXaH!mHcEc^6fK<Ru+apK?vKc9L5D+E8%-#aqG5o=XvO*6mO+De^QImn
zO_vxAVG^MRE%S_L!Qg|}B2FP&K?TXp0iQGnUN`=PlV2}70bWMj00%rsds(q#sVcFU
ze)1Pu$0=$co>;y?L+GV11avjlMHo;A_4`6sq_(QI(x?k_Wik0i1E1JGHj3A=>)Qq`
zNM)zit-7EE``4?vom!Up0gO&~s{rao^zH}1@WQ_O04tB^)9e%0qgO(#SiLmA_gUWw
zgR~(ipw~nDF^m+QdGb>3@Ltin`;M~{u`j9jZ>kmJ=hA$O!A6PC9$TOAK04oufyLL)
zJ0UUU4dZ#a^X(G@=;W=25MrZlDr{?9*BVngTECSSaQU_3RwMmF0L6(&wW4UwJH@b9
zzBgmNf(Ed^59Z2;7f}3r?wL%5-k5g{@&mr<lD?f=uhArnFCX=O{mg6RNJ1yi+D!)Q
zC*^{Bes+Mc6U*@7ZC|ef9h4-xep~9|foVPiOEQLr|17K6YeAt#vTK}H51_FOvhZkW
zl}?ve+6|VYNT)_bBSfBRJ#fiKFJv-l(Y67tH=H{$j27?Ai=r~4%5q2$`~44-FNX2u
z;Zlbl2u0;K|NavB1BEPDcR*I`PFgoR=Ns+lBqX+GuiC)}db})uSo#r5qZ#Bp$WJoV
zXVp4CZ8)9WIQk%}=HjQSaty=0*Jk&}L+A#whYT%+j+zBgzU{0#Eru`I5qlK;w_OyS
zP!=mBt0hFslY@aS82#nT667oOsdd5@$-0>k1H$fp$JdMnd+IsRLkhlIBbTC_9g$@f
zLh4&fP-PX5&A!mtzZX)P(?|$tu8+UFSIqK4bJJ)&1QQZY#m(jGZ!|C+x^yAqu$~f2
z9U^uTT~kj88d<fSA1!6fBUh|<oAtk^!*>YxSfu?9s3N951RCc5s}X<3VM0u=i#)JX
zv-`TJdiDWilLea)=^=$zEZ0bF?BBvDOl^MN2Y(8wSZ0=Ebtl7qSTAW(*-`9oEnn`m
zZre}fY!mCFT$X&(*M-#^6!u42#Jvg#F_Mk<Dm;Y7cVP7VQGLujL_Mr0sB~qn07)M$
zk8YNKusvGO(x-2*CTt?uq>a+2?{kal*byUJ`$#S^#@PXqiw`D9C}czt<xX794f$!2
z?=$&vbpKZ05A>?qFF$3AW^w_;WombiGD%M=DPw&8IltIajjai|v#P(X^m}{&_Ule~
zKWV<_i+ly6KESSZPk$WoVzDd)3Ed((3aQ^mw%mgREh}sr1a%5CE?{$<^J6FzqKxRf
z^UZq~0vH+FA+3r57_Y`*;)|(Ejaa88%@w=7hdajb<PK2W%U2wnTs%krI%oLkKL?mA
z)6nFOgFP=<OyM}&^btp_$gw_`Rp+rMKMt9h8eA)hm<Jz1U;Il3VIOOQnu@%?VkPj2
z!XtUqRu=WB=ov?>i}^I$1%fKCiNO9-$hpmc4hLZVYpz%+&|1$bu%d5|BIhYv33APh
zj5)sf-*ou5Rz6(9iK8@4i$76gk(|jLJ05TN{>}ZL16!d=(<YM&w?A0Ob970-R(4W~
z+u(ng{$KKKuOAuDYDS+B`V-aFrA?Z?FG}P56LdTyJeLJ4hJ14V6VHDuwR30-qstKR
z{~-QPj!OAM7*d^a|K|SB!I;RQEzl#;|J_mlmm^m55C)&kv+{qUwzVAEvZp%8{YMze
z_-$pKi$+!cXv;S5Wx>_-SjqpnKK?bW>y1Mg&Nj#M|B3p)F8vqU|Lf9!22d<Ac53p=
z+B{0@{}bXosJDiTUk@VTdyU4klVg934#VluQ#oNXQx3BG>x+4H>T-Wt>m0FKu`$if
e`-gwp0J(`A`#oTfzQJ+$T{pJ8_UWo?-2VXpW9w1?

literal 0
HcmV?d00001

diff --git a/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md b/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md
new file mode 100644
index 00000000000..e6444ce8ce1
--- /dev/null
+++ b/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md
@@ -0,0 +1,317 @@
+# Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly
+
+*By NVIDIA TensorRT LLM Team and XGrammar Team*
+
+## Table of Contents
+- [Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly](#combining-guided-decoding-and-speculative-decoding-making-cpu-and-gpu-cooperate-seamlessly)
+  - [Table of Contents](#table-of-contents)
+  - [Background and Challenges](#background-and-challenges)
+    - [Motivation](#motivation)
+    - [Guided Decoding](#guided-decoding)
+    - [Speculative Decoding](#speculative-decoding)
+    - [Two Challenges](#two-challenges)
+  - [Trace Grammar State for Draft Token Proposal and Rejection](#trace-grammar-state-for-draft-token-proposal-and-rejection)
+    - [Target Model](#target-model)
+    - [Draft Model](#draft-model)
+  - [Make Grammar Computation Capturable by CUDA Graph](#make-grammar-computation-capturable-by-cuda-graph)
+    - [CUDA Callback](#cuda-callback)
+    - [Integration to TensorRT LLM Python Runtime](#integration-to-tensorrt-llm-python-runtime)
+    - [CUDA Graph Compatibility: Grammar Computation](#cuda-graph-compatibility-grammar-computation)
+    - [CUDA Graph Compatibility: Mask Applying Kernel](#cuda-graph-compatibility-mask-applying-kernel)
+    - [Troubleshooting: Data Race between Host and CUDA Callback](#troubleshooting-data-race-between-host-and-cuda-callback)
+    - [Troubleshooting: Deadlock by GIL and CUDA Mutex](#troubleshooting-deadlock-by-gil-and-cuda-mutex)
+  - [Performance and Analysis](#performance-and-analysis)
+  - [Acknowledgements](#acknowledgements)
+
+## Background and Challenges
+
+### Motivation
+
+As part of our effort to bridge gaps in feature combinations, we enabled guided decoding with many important LLM inference features in TensorRT LLM over the last two months:
+
+* Overlap scheduler: [PR 6000](https://github.com/NVIDIA/TensorRT-LLM/pull/6000)
+* CUDA graph padding: [PR 6774](https://github.com/NVIDIA/TensorRT-LLM/pull/6774)
+* Disaggregated serving: [PR 6704](https://github.com/NVIDIA/TensorRT-LLM/pull/6704)
+* Speculative decoding (two-model implementation): [PR 6300](https://github.com/NVIDIA/TensorRT-LLM/pull/6300)
+* Speculative decoding (one-model implementation): [PR 6948](https://github.com/NVIDIA/TensorRT-LLM/pull/6948)
+
+More complicated (higher-order) combinations are also supported; for example, we can run DeepSeek-R1 with guided decoding, overlap scheduler, CUDA graph, [attention data parallelism (ADP)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/blogs/tech_blog/blog10_ADP_Balance_Strategy.md), [multiple token prediction (MTP)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/blogs/tech_blog/blog2_DeepSeek_R1_MTP_Implementation_and_Optimization.md) and [disaggregated serving](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md)​ all enabled.
+
+Among all these tasks, combining guided decoding with one-model speculative decoding is the most challenging one, and it achieves the best performance for low-latency or throughput@latency scenarios. This blog post shares the overall design, implementation details, and performance analysis.
+
+### Guided Decoding
+
+Guided decoding (or interchangeably constrained decoding, structured generation) guarantees that the LLM outputs are amenable to a user-specified grammar (e.g., JSON schema), which is particularly useful for LLM agents. For example, guided decoding can help an LLM generate function arguments that strictly conform to function signatures. Thus, the LLM can correctly call external tools and integrate the tool calling results for a better response.
+
+For a request at the prefill phase, guided decoding creates an initial grammar state (i.e., grammar compilation), and generates a mask tensor indicating which tokens from the vocabulary are allowed for the first generated token (i.e., mask gen). At each generation phase, guided decoding advances the grammar state based on the last generated token (i.e., grammar advance), and generates a mask tensor for the next token. The mask will be applied to the logits to mask out the disallowed tokens before sampling (i.e., mask applying), which ensures the next token is amenable to the grammar constraints.
+
+TensorRT LLM integrates third-party grammar backends (e.g., [XGrammar](https://github.com/mlc-ai/xgrammar), [LLGuidance](https://github.com/guidance-ai/llguidance)) for the grammar computation. Currently, these grammar backends are implemented on CPU, so the grammar computation introduces significant CPU overhead. Fortunately, this can be overlapped with the GPU computation, achieving [near-zero overhead](https://blog.mlc.ai/2024/11/22/achieving-efficient-flexible-portable-structured-generation-with-xgrammar). The core idea is that at every iteration, we should first launch the model forward to make the GPU busy, and then compute grammar compilation/advance and mask gen on CPU. Once both the computations finish, the mask can be applied to the logits before sampling.
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_constrained_decoding_pipeline_overlap.png" width="600">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 1: Top: guided decoding timeline without overlapping. Bottom: guided decoding timeline with overlapping. (This figure is from the XGrammar paper.)</em></sub></p>
+
+### Speculative Decoding
+
+Speculative decoding is a crucial feature in low-latency or throughput@latency LLM inference scenarios. For each request, a lightweight drafter proposes several draft tokens, and then the target model verifies the draft tokens in parallel. Hopefully, most draft tokens are accepted, and thus multiple tokens are generated in a single target model forward. Compared with normal LLM inference where each model forward generates a single token, speculative decoding offers the potential to generate more tokens per iteration by leveraging more computation. This improves the arithmetic intensity and reduces the required number of iterations.
+
+TensorRT LLM has two kinds of speculative decoding implementations, namely the one-model and two-model implementations. The one-model implementation launches a single CUDA graph for a target model forward together with multiple draft model forwards. This is more difficult to implement and is coupled with the modeling code, but it offers the best performance. The two-model implementation decouples the target and draft models into separate CUDA graphs, which is much more flexible and offers better feature coverage. There are ongoing efforts to close the gaps between the two implementations.
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_one_model_vs_two_model.png" width="600">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 2: Top: GPU timeline of one-model speculative decoding. Bottom: GPU timeline of two-model speculative decoding.</em></sub></p>
+
+### Two Challenges
+
+When combining guided decoding and speculative decoding, two challenges arise. First, at each generation iteration, speculative decoding proposes multiple draft tokens, some of which might be rejected in the verification step. The draft token proposal and rejection are not transparent to guided decoding. Specifically, this can be broken down into two views:
+
+* For the target model, guided decoding should advance the grammar state and generate the mask for every draft token. If some draft tokens are rejected, guided decoding should rollback the grammar state to the last accepted token.
+* For the draft model, without grammar constraints, some draft tokens may violate the grammar and thus be forcefully rejected in the verification step. Clearly, this hurts the acceptance rate. Hence, guided decoding should also intervene on the logits for every draft token generation if possible.
+  * Some speculative algorithms propose draft tokens recurrently by computing logits and sampling (e.g., the standard draft-target model, EAGLE or MTP), similarly to a standard LLM. In that case, guided decoding can apply grammar constraints in a similar mask gen and applying way.
+  * Some drafting algorithms work without logits sampling, which require other ways to apply the grammar constraints.
+
+Second, specific to the one-model speculative decoding where a single CUDA graph contains multiple (draft and target) model forwards, the CPU-GPU synchronization becomes challenging. Note that for every step $i$, there are two event waits:
+
+* The host waits for the *token event* that indicates the readiness of CPU tokens from step $i-1$.
+* The model forward stream waits for the *mask event* that indicates the readiness of GPU masks from step $i$.
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps.png" width="800">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 3: The CPU-GPU synchronization for multiple model forwards.</em></sub></p>
+
+Note that in the two-model implementation, the sampling is excluded from the CUDA graphs for better flexibility (Figure 2). From the CPU perspective, this offers a timing for the grammar computation. In particular, the mask event wait can be inserted between the CUDA graph replay and sampling, effectively making the GPU wait for the GPU masks asynchronously copied from CPU.
+
+However, the CUDA graph of the one-model implementation contains multiple forwards, inevitably including the sampling operations. Hence, there is no timing for the grammar computation. The most outstanding problem is that when replaying the CUDA graph, the mask event wait cannot be inserted before sampling. An alternative is capturing the events and waits in the CUDA graph, but it is still ineffective because the grammar computation is on CPU and thus not capturable. Once such a CUDA graph is launched to replay, the GPU does not wait for any newly recorded events, so it is impossible to block the GPU for the readiness of masks.
+
+## Trace Grammar State for Draft Token Proposal and Rejection
+
+### Target Model
+
+For a target model forward, a request should have one new token and multiple draft tokens from the last verification step and drafter, respectively. For each token in the sequence, guided decoding should advance the grammar state and fill the mask tensor. Before sampling, the masks should be applied to the corresponding logits. After verification, the grammar state should be rolled back by the number of rejected tokens.
+
+Compared to guided decoding with non-speculative decoding, the rollback operation is newly introduced. Thankfully, it has built-in support by grammar backends like [XGrammar](https://github.com/mlc-ai/xgrammar/blob/v0.1.21/python/xgrammar/matcher.py#L341-L350) and [LLGuidance](https://github.com/guidance-ai/llguidance/blob/v1.1.1/python/llguidance/_lib.pyi#L363-L366).
+
+Before proceeding to the draft model view, note that the LLM can generate correct outputs as long as we apply grammar constraints on the target model, because any draft tokens violating the grammar will be forcefully rejected by the verification step. However, this hurts the acceptance rate.
+
+### Draft Model
+
+As aforementioned, we can apply grammar constraints for draft tokens in a similar mask gen and applying way for speculative algorithms based on recurrent logits sampling. Specifically, for the first drafting step, guided decoding advances the grammar state using the last new token. For the following drafting steps, the grammar state is advanced using the last draft token. Each step should fill and apply the mask to the corresponding draft model logits before sampling. 
+
+After the drafting process, the grammar state should be rolled back to the original state, so that the subsequent target model forward can have the correct grammar state. If the draft and target models share the same vocabulary, then the grammar computation is exactly the same so the masks can be reused.
+
+One special case is EAGLE3, whose draft model has a [pruned vocabulary](https://github.com/SafeAILab/EAGLE/blob/58d1de099fe315645a82fe002e46586d54efe405/eagle/traineagle3/config.json#L22-L23) compared to the target model. For instance, LLaMA 3.1 has a 128k vocabulary size, while the corresponding EAGLE3 drafter has a vocabulary containing the most frequent 32k tokens. This saves some computation of the lm_head GEMM. Note that grammar is built on the target model’s vocabulary, so the produced mask cannot be directly applied to the logits of the draft model. EAGLE3 provides a special [d2t](https://github.com/SafeAILab/EAGLE/blob/d7161f9f94aaa345654d9b4045931145811d4d03/eagle/traineagle3/cnets.py#L673-L681) tensor that maps draft token IDs to target token IDs. [PR 7481](https://github.com/NVIDIA/TensorRT-LLM/pull/7481) fuses this d2t mapping to the mask applying kernel.
+
+> **Note:** Here we focus on the chain-based speculative algorithms. A tree-based algorithm would further complicate the implementation; in particular, guided decoding should traverse the drafting tree, advance and rollback grammar states accordingly.
+
+## Make Grammar Computation Capturable by CUDA Graph
+
+### CUDA Callback
+
+CUDA graph can help eliminate the CPU overhead, which is an important technique in the LLM inference systems, especially for the generation phase. As aforementioned, the one-model speculative decoding implementation launches a single CUDA graph to compute multiple draft and target model forwards. This makes the CPU-GPU synchronization challenging: the sampling operation depends on masks computed on CPU, but the GPU is not able to wait for the readiness of any CPU computation once the CUDA graph is launched.
+
+CUDA callback [`cudaLaunchHostFunc`](https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__EXECUTION.html#group__CUDART__EXECUTION_1g05841eaa5f90f27124241baafb3e856f) can launch a host function to a CUDA stream. (The host function should not call any CUDA API.) This has two crucial implications:
+
+* CUDA events and event waits can be inserted before and after the host functions, which can be used to synchronize the CPU and GPU computation.
+* The host functions can be captured and replayed by CUDA graph.
+
+Hence, we can launch grammar computation along with other auxiliary host functions as CUDA callbacks to a CUDA stream. The CUDA graph should capture and replay multiple model forwards and corresponding grammar computation all together. To achieve CPU-GPU overlapping, the grammar computation should be placed on a dedicated CUDA stream. Specifically, for every step $i$:
+
+* The grammar stream:
+  * waits for the *token event* that indicates the readiness of CPU tokens from step $i-1$;
+  * performs grammar advance and mask gen (CUDA callback);
+  * asynchronously copies the CPU masks to GPU;
+  * records the *mask event*.
+* The model forward stream:
+  * computes model forward using the last GPU tokens;
+  * waits for the *mask event* that indicates the readiness of GPU masks;
+  * applies the mask to logits and then samples new tokens;
+  * asynchronously copies the GPU tokens to CPU;
+  * records the *token event*.
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps_by_cuda_callback.png" width="800">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 4: The CPU-GPU synchronization for multiple model forwards by CUDA callback.</em></sub></p>
+
+### Integration to TensorRT LLM Python Runtime
+
+We surveyed some off-the-shelf Python bindings implementations of `cudaLaunchHostFunc`, but it turned out that they do not work well with CUDA graph (e.g., CUDA-Python [Issue 790](https://github.com/NVIDIA/cuda-python/issues/790), cupy [Issue 9274](https://github.com/cupy/cupy/issues/9274)). The probable reason is that the intermediate wrapper data structures are released once the callback is executed; hence, even though the callback is captured by CUDA graph, it cannot be replayed multiple times.
+
+We implement our own bindings to `cudaLaunchHostFunc` — [`launch_hostfunc`](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/cpp/tensorrt_llm/nanobind/runtime/hostfunc.cpp#L76). Specifically, `launch_hostfunc` packs the Python function and arguments to an [intermediate data structure](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/cpp/tensorrt_llm/nanobind/runtime/hostfunc.cpp#L33) and calls `cudaLaunchHostFunc` to launch a [trampoline function](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/cpp/tensorrt_llm/nanobind/runtime/hostfunc.cpp#L49) to a CUDA stream. The trampoline function unpacks the intermediate data structure and invokes the Python function with the arguments. Note that `launch_hostfunc` offers great flexibility — it can launch an arbitrary Python function (without any CUDA API calls) as a CUDA callback. Hence, the grammar computation logics can still be implemented in Python.
+
+When CUDA graph is capturing, `launch_hostfunc` does not release the intermediate data structure, so it is accessible during CUDA graph replay. The intermediate data structures can be manually released via [`free_hostfunc_user_data`](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/cpp/tensorrt_llm/nanobind/runtime/hostfunc.cpp#L97); otherwise, they are automatically cleaned up when the Python interpreter exists. If CUDA graph is disabled (e.g., prefill phase), the intermediate data structure should be released promptly to avoid memory leak. Specifically, the trampoline function automatically releases it once the callback finishes execution.
+
+In Python, we provide a decorator `hostfunc` which casts an arbitrary Python function to a CUDA callback. For example, run the below code snippet:
+
+```python
+import torch
+from tensorrt_llm._torch.hostfunc import hostfunc
+
+@hostfunc
+def increase(x: torch.Tensor):
+    x.add_(1)
+
+x = torch.zeros(10, dtype=torch.int32)
+
+stream = torch.cuda.Stream()
+g = torch.cuda.CUDAGraph()
+with torch.cuda.graph(g, stream=stream):
+    increase(x)
+    increase(x)
+torch.cuda.synchronize()
+
+with torch.cuda.stream(stream):
+    for _ in range(10):
+        g.replay()
+
+torch.cuda.synchronize()
+print(x)
+```
+
+The output would look like:
+
+```txt
+tensor([20, 20, 20, 20, 20, 20, 20, 20, 20, 20], dtype=torch.int32)
+```
+
+Note that the CUDA graph increases the tensor twice, and it is replayed for ten times, so the tensor should be totally increased by 20 times. Clearly, the output validates that the CUDA graph capture and replay are successful.
+
+As the final step, we implemented a variant of `GuidedDecoder` — [`CapturableGuidedDecoder`](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L405). It reuses most logics from `GuidedDecoder`, but the grammar computation and some auxiliary methods are decorated by `hostfunc`, making it capturable by CUDA graph.
+
+### CUDA Graph Compatibility: Grammar Computation
+
+Once captured, CUDA graph can be launched to run the same GPU kernels as many times as needed. Note that the replayed kernels are always executed using the fixed input and output memory addresses. By filling input buffers with new data, we can run the same work on new data. This pattern also applies to CUDA callback, except that the input and output buffers are on CPU. 
+
+Guided decoder manages the below buffers and resources:
+
+* [Request states](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L20): All the necessary request information affecting grammar computation, including the user-specified grammar, the last new token and draft tokens.
+* [Grammar states](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L167-L168): The grammar states managed by grammar backends. By leveraging the grammar backends, guided decoder advances grammar states and fills mask tensors.
+* [New tokens tensor](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L419-L422): The tensor values are copied from the newly computed GPU tokens, and used to update the last new token or draft tokens of the request states.
+* [Mask tensor](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L175-L177): The tensor values are filled according to the grammar states and then copied to GPU masks, which will be used to apply to logits.
+
+The buffers are stored in fixed memories, and the resources are accessed via fixed pointers. This makes grammar computation compatible with CUDA graph. The buffers and resources are connected via slot IDs. In the runtime, each request is assigned with an exclusive slot ID (0 <= slot ID < `max_batch_size`) upon the first scheduling. The slot ID is occupied until the request is finished and removed from the scheduler.
+
+When the runtime schedules a new batch of requests, the guided decoder updates the request states on the host. After that, all the other operations (grammar compilation/advance, mask gen, buffer copying, etc.) happen on CUDA streams and should be capturable by CUDA graph. More specifically, buffer copying should be asynchronous, and the other CPU computation should be CUDA callbacks.
+
+### CUDA Graph Compatibility: Mask Applying Kernel
+
+The mask applying kernel takes a batch of logits and masks as the input, and modifies the logits in-place. Specifically, the masked-out (disallowed by grammar) token logits are assigned a value of negative infinity, so that they are impossible to be sampled as the next tokens.
+
+Note that currently CUDA graph is enabled for the generation phase only, and the draft length is fixed for all requests. This greatly simplifies the effort for CUDA graph compatibility. Given a `batch_size` and `max_num_draft_tokens`, the logits tensor is of shape `(batch_size * (1 + max_num_draft_tokens), vocab_size)`. Clearly, we can fill the first `(batch_size * (1 + max_num_draft_tokens))` rows of the mask tensor accordingly, and pass the mask tensor address to the kernel.
+
+Some requests may have no grammar constraints. For such requests, we can fill the corresponding masks with all ones (allowed by grammar) so the logits will not be modified by the kernel, but this causes unnecessary computation. To resolve this, a token-level mask tensor is introduced. The tensor values are filled with zeros for requests without grammar constraints. The kernel reads these mask values and skips the rows with mask values being zero.
+
+### Troubleshooting: Data Race between Host and CUDA Callback
+
+Similar to GPU kernels, CUDA callbacks are asynchronously executed on CUDA streams. Note that both normal host functions and CUDA callbacks can access the same CPU memory addresses, so it can easily cause a data race.
+
+In the initial implementation, `CapturableGuidedDecoder` directly reads request states from [`ScheduledRequests`](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/scheduler.py#L18). However, the `ScheduledRequests` is shared through an executor iteration and thus probably modified by other executor components. This creates a potential data race scenario:
+
+* Guided decoder launches a CUDA callback, which will read some request states from `ScheduledRequests`;
+* Some other executor components inplace modify `ScheduledRequests`;
+* The CUDA callback is executed, reading some modified request states from `ScheduledRequests`.
+
+Clearly, the CUDA callback may read unexpected data. This data race motivates a dedicated request states class — [`GuidedRequest`](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L20). It is a request snapshot created for guided decoder only, so it will never be modified by other components. It is also possible that the guided decoder itself may access request states via both normal host functions and CUDA callbacks, so we adopt a protocol that the request snapshots should be created on the host, and then accessed only via CUDA callbacks. This prevents potential data race within an executor iteration.
+
+When overlap scheduler is enabled, another data race scenario exists between executor iterations:
+
+* Iteration $i$ launches CUDA callbacks, which will read request states from a fixed address;
+* Iteration $i+1$ updates the request states;
+* Iteration $i$'s CUDA callbacks are executed, reading request states updated by iteration $i+1$.
+
+Again, the CUDA callbacks may read unexpected data. A straightforward solution is letting the request state update wait for CUDA callback execution, but this effectively disables overlap scheduling. To resolve this issue and also unblock overlap scheduling, a [queue](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/tensorrt_llm/_torch/pyexecutor/guided_decoder.py#L417) is introduced. For each iteration, a new batch of request states is put into the queue; then, a CUDA callback is launched to fetch a new batch of request states from the queue, and all the subsequent CUDA callbacks access the newly fetched request states. This allows the co-existence of the request snapshots of two (or even more) iterations, which prevents potential data race between iterations.
+
+### Troubleshooting: Deadlock by GIL and CUDA Mutex
+
+After the first version was implemented, the program intermittently encountered a hang issue when `CapturableGuidedDecoder` is enabled. By checking out the callstack, we found that it was hanging on completely irrelevant kernel launches or some other CUDA API calls. With further investigation, we discovered that the hang issue was caused by a deadlock between the Python GIL and a CUDA mutex.
+
+As documented, a CUDA callback must not make any CUDA API calls. This implies that the CUDA callback execution and CUDA API calls compete for the same mutex. Note that the trampoline function needs to [acquire the GIL](https://github.com/NVIDIA/TensorRT-LLM/blob/v1.1.0rc5/cpp/tensorrt_llm/nanobind/runtime/hostfunc.cpp#L52) before calling the Python code. Hence, when executing Python code by a CUDA callback, it acquires a CUDA mutex and then the GIL. In the meanwhile, the Python main thread may hold the GIL and make CUDA API calls, so it acquires the GIL and then the CUDA mutex. The two threads acquire the two locks in opposite orders, which creates a deadlock pattern.
+
+This deadlock can be resolved if the Python main thread can release the GIL for CUDA API calls. TensorRT LLM Python runtime is built on PyTorch. Thankfully, PyTorch releases the GIL for most CUDA API calls, even including PyTorch custom operators. However, we find two exceptions in PyTorch 2.8. When creating a device tensor using a shape depending on data from another device tensor, it triggers an implicit and synchronized D2H copy, and this D2H copy is executed with GIL being held ([Issue 163062](https://github.com/pytorch/pytorch/issues/163062)). This can be reproduced by the below code snippet:
+
+```python
+import torch
+
+x = torch.randint(0, 100, (100,), dtype=torch.int64, device='cuda')
+y = torch.zeros(100, x.max(), dtype=torch.int64, device='cuda')
+```
+
+The other case is that `torch.compile` kernels are called with GIL being held ([Issue 163061](https://github.com/pytorch/pytorch/issues/163061)), although Triton kernels are called with GIL released. Hence, we have to avoid any problematic operations and disable `torch.compile` when using CUDA callback to Python code, until these issues are fixed by PyTorch.
+
+Another source of risk comes from some runtime components that are implemented in C++ and exposed as Python bindings; they may make CUDA API calls as well. By default, Python bindings do not release GIL. Hence, we swept these Python bindings and released GIL properly in [PR 6948](https://github.com/NVIDIA/TensorRT-LLM/pull/6948).
+
+After all these efforts, the hang issue disappears. It is generally recommended to release the GIL when calling C++ code from Python; even without the context of CUDA callback, this is beneficial for multi-threading performance. However, we acknowledge the limitation that it is difficult to make sure that every such place has been properly handled, and that future code changes do not introduce any risks.
+
+> **Note:** Theoretically, the GIL-free Python ([PEP 703](https://peps.python.org/pep-0703)) could be another remedy.
+
+## Performance and Analysis
+
+We benchmark the performance of guided decoding on two datasets [JSON Mode Eval](https://huggingface.co/datasets/NousResearch/json-mode-eval) and [JSON Schema Bench](https://huggingface.co/datasets/epfl-dlab/JSONSchemaBench). The models are [LLaMA 3.1 8B](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) and [LLaMA 3.3 70B](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct), the GPUs are H200 and the grammar backend is XGrammar.
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.1_8b.png" width="600">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 5: Pareto curve on LLaMA 3.1 8B TP1 on H200, JSON Mode Eval. The concurrency ranges from 1 to 128.</em></sub></p>
+
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.3_70b.png" width="600">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 6: Pareto curve on LLaMA 3.3 70B TP4 on H200, JSON Mode Eval. The concurrency ranges from 1 to 128.</em></sub></p>
+
+Figures 5 and 6 present the Pareto curves on JSON Mode Eval for LLaMA 3.1 8B and LLaMA 3.3 70B, respectively. Speculative decoding achieves significant speedup for low-latency or throughput@latency scenarios. In particular, the speedup can be up to ~2x for batch size 1. The one-model EAGLE3 implementation is more performant than the two-model EAGLE3, and this performance gap is amplified for small models. This is reasonable, because the one-model implementation captures more workloads into a single CUDA graph, which results in less (if any) exposed CPU overhead.
+
+Note that although NGram is a two-model implementation, it performs surprisingly well. This is because JSON Mode Eval is an information extraction task. Each prompt contains the JSON schema and all the information required by the response, so the NGram has a high acceptance rate on this dataset.
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.1_8b.png" width="600">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 7: Pareto curve on LLaMA 3.1 8B TP1 on H200, JSON Schema Bench. The concurrency ranges from 1 to 128.</em></sub></p>
+
+<div align="center">
+<figure>
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.3_70b.png" width="600">
+</figure>
+</div>
+<p align="center"><sub><em>Figure 8: Pareto curve on LLaMA 3.3 70B TP4 on H200, JSON Schema Bench. The concurrency ranges from 1 to 128.</em></sub></p>
+
+Figures 7 and 8 show the results on JSON Schema Bench. The one-model EAGLE3 achieves the best performance across almost all scenarios. Note that the NGram becomes less performant since the task is no longer an information extraction task, although the JSON schemas are still present in the prompts.
+
+| Dataset | Model | EAGLE3 | EAGLE3 w/o draft | NGram |
+| :-----: | :---: | :----: | :--------------: | :---: |
+| JSON Mode Eval    | LLaMA 3.1 8B  | 2.86 | 2.65 | 2.59 |
+| JSON Mode Eval    | LLaMA 3.3 70B | 2.72 | 2.60 | 2.44 |
+| JSON Schema Bench | LLaMA 3.1 8B  | 2.55 | 2.33 | 1.89 |
+| JSON Schema Bench | LLaMA 3.3 70B | 2.50 | 2.30 | 1.87 |
+
+<p align="center"><sub><em>Table 1: Average acceptance lengths per iteration for EAGLE3 and NGram. The acceptance length includes the golden token. The draft length is 3. "EAGLE3 w/o draft" means the draft model does not apply grammar constraints.</em></sub></p>
+
+Table 1 lists the average acceptance lengths per iteration. We perform an ablation experiment where the draft model does not apply grammar constraints. As presented, this does decrease acceptance rates, but by a slighter margin than expected. Note that it introduces extra overheads to apply grammar constraints on the draft model:
+
+* In the drafting loop, the extra mask applying kernels slightly contribute to the GPU time.
+* If the drafting forwards are too fast to hide the grammar computation, the exposed CPU time will cause bubbles in the GPU timeline.
+
+These extra overheads could partially offset the benefits from the improved acceptance.
+
+## Acknowledgements
+
+This work demonstrates an outstanding example of cross-team collaboration between the TensorRT LLM and XGrammar teams. We sincerely appreciate the support from everyone who contributed to making this happen.
+
+We acknowledge that it is built on top of the tremendous existing foundations from the community. In particular, some designs were inspired by vLLM [PR 14702](https://github.com/vllm-project/vllm/pull/14702) and SGLang [PR 6499](https://github.com/sgl-project/sglang/pull/6499). In addition, special thanks go to the authors who proposed the speculative algorithms like EAGLE/MTP, and the grammar backend projects like XGrammar/LLGuidance.

From 7d28acdbf0f37e91bb86264e8a11651bece97811 Mon Sep 17 00:00:00 2001
From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
Date: Fri, 19 Sep 2025 18:50:40 +0800
Subject: [PATCH 31/76] [https://nvbugs/5522332][fix] Pin numpy version for
 Gemma. (cherry-pick https://github.com/NVIDIA/TensorRT-LLM/pull/7783) (#7797)

Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
---
 examples/models/core/gemma/requirements.txt |  1 +
 tests/integration/defs/conftest.py          | 34 +++------------------
 tests/integration/test_lists/waives.txt     |  1 -
 3 files changed, 6 insertions(+), 30 deletions(-)

diff --git a/examples/models/core/gemma/requirements.txt b/examples/models/core/gemma/requirements.txt
index a1bbed25b68..20f8719a379 100644
--- a/examples/models/core/gemma/requirements.txt
+++ b/examples/models/core/gemma/requirements.txt
@@ -5,6 +5,7 @@
 nvidia-cudnn-cu12~=8.9; platform_machine == "x86_64"
 tensorrt_llm>=0.0.0.dev0
 flax~=0.8.0
+numpy<2
 # jax[cuda12_pip]~=0.4.19
 safetensors~=0.4.1
 sentencepiece>=0.1.99
diff --git a/tests/integration/defs/conftest.py b/tests/integration/defs/conftest.py
index d29f9840c67..77b2e91b819 100644
--- a/tests/integration/defs/conftest.py
+++ b/tests/integration/defs/conftest.py
@@ -284,35 +284,11 @@ def gemma_example_root(llm_root, llm_venv):
     "Get gemma example root"
 
     example_root = os.path.join(llm_root, "examples", "models", "core", "gemma")
-    # https://nvbugs/4559583 Jax dependency broke the entire pipeline in TRT container
-    # due to the dependency incompatibility with torch, which forced reinstall everything
-    # and caused pipeline to fail. We manually install gemma dependency as a WAR.
-    llm_venv.run_cmd(["-m", "pip", "install", "safetensors~=0.4.1", "nltk"])
-    # Install Jax because it breaks dependency
-    google_extension = [
-        "-f",
-        "https://storage.googleapis.com/jax-releases/jax_cuda_releases.html",
-    ]
-
-    # WAR the new posting of "nvidia-cudnn-cu12~=9.0".
-    # "jax[cuda12_pip]~=0.4.19" specifies "nvidia-cudnn-cu12>=8.9" but actually requires "nvidia-cudnn-cu12~=8.9".
-    if "x86_64" in platform.machine():
-        llm_venv.run_cmd(["-m", "pip", "install", "nvidia-cudnn-cu12~=8.9"])
-
-    if "Windows" in platform.system():
-        llm_venv.run_cmd([
-            "-m", "pip", "install", "jax~=0.4.19", "jaxlib~=0.4.19", "--no-deps"
-        ] + google_extension)
-    else:
-        llm_venv.run_cmd([
-            "-m",
-            "pip",
-            "install",
-            "jax[cuda12_pip]~=0.4.19",
-            "jaxlib[cuda12_pip]~=0.4.19",
-            "--no-deps",
-        ] + google_extension)
-    llm_venv.run_cmd(["-m", "pip", "install", "flax~=0.8.0"])
+    llm_venv.run_cmd([
+        "-m", "pip", "install", "-r",
+        os.path.join(example_root, "requirements.txt")
+    ])
+
     return example_root
 
 
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 1ba61648574..6ac3448ab34 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -300,7 +300,6 @@ examples/test_phi.py::test_llm_phi_lora_1gpu[Phi-3-mini-4k-instruct-ru-lora-Phi-
 examples/test_phi.py::test_llm_phi_quantization_1gpu[Phi-3-mini-128k-instruct-fp8-float16] SKIP (https://nvbugs/5465143)
 examples/test_phi.py::test_llm_phi_quantization_1gpu[Phi-3.5-mini-instruct-fp8-float16] SKIP (https://nvbugs/5465143)
 examples/test_phi.py::test_llm_phi_quantization_1gpu[Phi-3.5-MoE-instruct-fp8-bfloat16] SKIP (https://nvbugs/5465143)
-examples/test_gemma.py::test_llm_gemma_1gpu_summary_vswa[gemma-3-1b-it-other-bfloat16-8] SKIP (https://nvbugs/5522332)
 accuracy/test_cli_flow.py::TestPhi4MiniInstruct::test_auto_dtype SKIP (https://nvbugs/5465143)
 accuracy/test_cli_flow.py::TestPhi4MiniInstruct::test_tp2 SKIP (https://nvbugs/5465143)
 accuracy/test_cli_flow.py::TestLongAlpaca7B::test_auto_dtype SKIP (https://nvbugs/5481075)

From 1be7faef37579ee34b5d2c275b5c8d4b469e87bb Mon Sep 17 00:00:00 2001
From: Matthias Jouanneaux <mjoux@nvidia.com>
Date: Fri, 19 Sep 2025 14:55:32 +0200
Subject: [PATCH 32/76] [TRTLLM-5966][feat] Helix: add custom position ids to
 MLA kernels (#6904)

Signed-off-by: Matthias Jouanneaux <mjoux@nvidia.com>
Co-authored-by: brb-nv <169953907+brb-nv@users.noreply.github.com>
---
 cpp/tensorrt_llm/kernels/mlaKernels.cu        |  8 +++++---
 cpp/tensorrt_llm/kernels/mlaKernels.h         |  3 +++
 cpp/tensorrt_llm/nanobind/thop/bindings.cpp   |  5 +++--
 cpp/tensorrt_llm/pybind/thop/bindings.cpp     |  5 +++--
 cpp/tensorrt_llm/thop/attentionOp.cpp         | 20 +++++++++++++++----
 cpp/tensorrt_llm/thop/attentionOp.h           |  5 +++--
 .../_torch/attention_backend/trtllm.py        |  7 +++++++
 7 files changed, 40 insertions(+), 13 deletions(-)

diff --git a/cpp/tensorrt_llm/kernels/mlaKernels.cu b/cpp/tensorrt_llm/kernels/mlaKernels.cu
index 90048942163..6806c01d1b6 100644
--- a/cpp/tensorrt_llm/kernels/mlaKernels.cu
+++ b/cpp/tensorrt_llm/kernels/mlaKernels.cu
@@ -335,7 +335,7 @@ __global__ void applyMLARopeAndAssignQKVKernelGeneration(T* qkv_output, T* q_pe,
     int* seqQOffset, uint32_t* fmha_tile_counter, int32_t const* kv_cache_lengths, int* seqKVOffsets, int q_pe_ld,
     int q_pe_stride, KvCacheDataType cache_type, float* bmm1_scale, float* bmm2_scale, float const* quant_scale_o,
     float const* quant_scale_q, float const* quant_scale_kv, float const* dequant_scale_q,
-    float const* dequant_scale_kv, float host_bmm1_scale)
+    float const* dequant_scale_kv, float host_bmm1_scale, int32_t const* helix_position_offsets)
 {
 
     // Constants.
@@ -409,7 +409,9 @@ __global__ void applyMLARopeAndAssignQKVKernelGeneration(T* qkv_output, T* q_pe,
             if (valid_token)
             {
 
-                auto const position_id = kv_cache_lengths[batch_idx] - seq_len + local_token_idx;
+                auto const position_id
+                    = (helix_position_offsets != nullptr ? helix_position_offsets[global_token_idx]
+                                                         : kv_cache_lengths[batch_idx] - seq_len + local_token_idx);
                 float2 const* rotary_coef_cache_buffer
                     = cos_sin_cache + static_cast<size_t>(ROPE_DIM) * position_id + (head_dim_idx / 2);
 
@@ -992,7 +994,7 @@ void invokeMLARopeGeneration(MlaParams<T>& params, KVCacheBuffer kv_cache_buffer
         params.seqQOffset, params.fmha_tile_counter, params.cache_seq_lens, params.cu_kv_seqlens, params.q_pe_ld,
         params.q_pe_stride, params.cache_type, params.bmm1_scale, params.bmm2_scale, params.quant_scale_o,
         params.quant_scale_q, params.quant_scale_kv, params.dequant_scale_q, params.dequant_scale_kv,
-        params.host_bmm1_scale);
+        params.host_bmm1_scale, params.helix_position_offsets);
 }
 
 template <typename T, typename TCache>
diff --git a/cpp/tensorrt_llm/kernels/mlaKernels.h b/cpp/tensorrt_llm/kernels/mlaKernels.h
index 0bc05175d96..ef351308d42 100644
--- a/cpp/tensorrt_llm/kernels/mlaKernels.h
+++ b/cpp/tensorrt_llm/kernels/mlaKernels.h
@@ -101,6 +101,9 @@ struct MlaParams
 
     // For FP8 context qkv quantization
     float const* quant_scale_qkv = nullptr;
+
+    // for Helix parallelism: the rotary position offsets [b]
+    int32_t const* helix_position_offsets{nullptr};
 };
 
 template <typename T, typename KVCacheBuffer>
diff --git a/cpp/tensorrt_llm/nanobind/thop/bindings.cpp b/cpp/tensorrt_llm/nanobind/thop/bindings.cpp
index 0dc89684ab8..1b86dc97faf 100644
--- a/cpp/tensorrt_llm/nanobind/thop/bindings.cpp
+++ b/cpp/tensorrt_llm/nanobind/thop/bindings.cpp
@@ -53,8 +53,9 @@ void initBindings(nb::module_& m)
         nb::arg("kv_lora_rank") = std::nullopt, nb::arg("qk_nope_head_dim") = std::nullopt,
         nb::arg("qk_rope_head_dim") = std::nullopt, nb::arg("v_head_dim") = std::nullopt,
         nb::arg("mrope_rotary_cos_sin") = std::nullopt, nb::arg("mrope_position_deltas") = std::nullopt,
-        nb::arg("attention_chunk_size") = std::nullopt, nb::arg("softmax_stats_tensor") = std::nullopt,
-        nb::arg("spec_decoding_bool_params"), nb::arg("spec_decoding_tensor_params"), "Multi-head attention operation",
+        nb::arg("mla_tensor_params"), nb::arg("attention_chunk_size") = std::nullopt,
+        nb::arg("softmax_stats_tensor") = std::nullopt, nb::arg("spec_decoding_bool_params"),
+        nb::arg("spec_decoding_tensor_params"), "Multi-head attention operation",
         nb::call_guard<nb::gil_scoped_release>());
 }
 } // namespace tensorrt_llm::nanobind::thop
diff --git a/cpp/tensorrt_llm/pybind/thop/bindings.cpp b/cpp/tensorrt_llm/pybind/thop/bindings.cpp
index 0ccb2cc19c2..6dbfeb28479 100644
--- a/cpp/tensorrt_llm/pybind/thop/bindings.cpp
+++ b/cpp/tensorrt_llm/pybind/thop/bindings.cpp
@@ -53,8 +53,9 @@ void initBindings(pybind11::module_& m)
         py::arg("kv_lora_rank") = std::nullopt, py::arg("qk_nope_head_dim") = std::nullopt,
         py::arg("qk_rope_head_dim") = std::nullopt, py::arg("v_head_dim") = std::nullopt,
         py::arg("mrope_rotary_cos_sin") = std::nullopt, py::arg("mrope_position_deltas") = std::nullopt,
-        py::arg("attention_chunk_size") = std::nullopt, py::arg("softmax_stats_tensor") = std::nullopt,
-        py::arg("spec_decoding_bool_params"), py::arg("spec_decoding_tensor_params"), "Multi-head attention operation",
+        py::arg("mla_tensor_params"), py::arg("attention_chunk_size") = std::nullopt,
+        py::arg("softmax_stats_tensor") = std::nullopt, py::arg("spec_decoding_bool_params"),
+        py::arg("spec_decoding_tensor_params"), "Multi-head attention operation",
         py::call_guard<py::gil_scoped_release>());
 }
 } // namespace tensorrt_llm::pybind::thop
diff --git a/cpp/tensorrt_llm/thop/attentionOp.cpp b/cpp/tensorrt_llm/thop/attentionOp.cpp
index f7896bb70c8..0bafa789fab 100644
--- a/cpp/tensorrt_llm/thop/attentionOp.cpp
+++ b/cpp/tensorrt_llm/thop/attentionOp.cpp
@@ -79,6 +79,7 @@ class RunnerBase
         torch::optional<torch::Tensor> rotary_cos_sin, torch::optional<torch::Tensor> latent_cache,
         torch::optional<torch::Tensor> q_pe, torch::optional<torch::Tensor> block_ids_per_seq,
         torch::optional<torch::Tensor> mrope_rotary_cos_sin, torch::optional<torch::Tensor> mrope_position_deltas,
+        std::vector<std::optional<torch::Tensor>> mla_tensor_params,
         torch::optional<torch::Tensor> softmax_stats_tensor,
         c10::ArrayRef<std::optional<torch::Tensor>> spec_decoding_tensor_params,
         torch::optional<torch::Tensor> attention_sinks) const
@@ -133,6 +134,7 @@ class Runner : public RunnerBase
         torch::optional<torch::Tensor> rotary_cos_sin, torch::optional<torch::Tensor> latent_cache,
         torch::optional<torch::Tensor> q_pe, torch::optional<torch::Tensor> block_ids_per_seq,
         torch::optional<torch::Tensor> mrope_rotary_cos_sin, torch::optional<torch::Tensor> mrope_position_deltas,
+        std::vector<std::optional<torch::Tensor>> mla_tensor_params,
         torch::optional<torch::Tensor> softmax_stats_tensor,
         c10::ArrayRef<std::optional<torch::Tensor>> spec_decoding_tensor_params,
         torch::optional<torch::Tensor> attention_sinks) const override
@@ -165,6 +167,8 @@ class Runner : public RunnerBase
         [[maybe_unused]] MlaParams<T> mla_params;
         if (op.isMLAEnabled())
         {
+            TORCH_CHECK(mla_tensor_params.size() == 1,
+                "Expecting 1 tensor for custom MLA tensor params: helix_position_offsets.");
             if (is_context)
             {
                 if (latent_cache.has_value())
@@ -210,6 +214,11 @@ class Runner : public RunnerBase
             mla_params.meta = op.mMLAParams;
 
             mla_params.workspace = workspace_ptr;
+            auto& mla_helix_position_offsets = mla_tensor_params[0];
+            if (mla_helix_position_offsets.has_value())
+            {
+                mla_params.helix_position_offsets = mla_helix_position_offsets->data_ptr<int32_t>();
+            }
         }
 
         int const* context_lengths_ptr = context_lengths.slice(0, seq_offset).data_ptr<int>();
@@ -507,8 +516,9 @@ void attention(torch::Tensor q, std::optional<torch::Tensor> k, std::optional<to
     std::optional<int64_t> kv_lora_rank, std::optional<int64_t> qk_nope_head_dim,
     std::optional<int64_t> qk_rope_head_dim, std::optional<int64_t> v_head_dim,
     std::optional<torch::Tensor> mrope_rotary_cos_sin, std::optional<torch::Tensor> mrope_position_deltas,
-    std::optional<int64_t> attention_chunk_size, std::optional<torch::Tensor> softmax_stats_tensor,
-    std::vector<bool> spec_decoding_bool_params, std::vector<std::optional<torch::Tensor>> spec_decoding_tensor_params)
+    std::vector<std::optional<torch::Tensor>> mla_tensor_params, std::optional<int64_t> attention_chunk_size,
+    std::optional<torch::Tensor> softmax_stats_tensor, std::vector<bool> spec_decoding_bool_params,
+    std::vector<std::optional<torch::Tensor>> spec_decoding_tensor_params)
 {
     TLLM_LOG_TRACE("Attention op starts at layer %d", layer_idx);
     // Use these tensors to infer if the attention is using KV cache
@@ -748,7 +758,8 @@ void attention(torch::Tensor q, std::optional<torch::Tensor> k, std::optional<to
             kv_cache_block_offsets, host_kv_cache_block_offsets, host_kv_cache_pool_pointers,
             host_kv_cache_pool_mapping, cache_indirection, kv_scale_orig_quant, kv_scale_quant_orig, out_scale,
             rotary_inv_freq, rotary_cos_sin, latent_cache, q_pe, block_ids_per_seq, mrope_rotary_cos_sin,
-            mrope_position_deltas, softmax_stats_tensor, spec_decoding_tensor_params, attention_sinks);
+            mrope_position_deltas, mla_tensor_params, softmax_stats_tensor, spec_decoding_tensor_params,
+            attention_sinks);
     }
 
     if ((num_generations > 0) && (attn_input_type != AttentionInputType::ContextOnly))
@@ -764,7 +775,8 @@ void attention(torch::Tensor q, std::optional<torch::Tensor> k, std::optional<to
             kv_cache_block_offsets, host_kv_cache_block_offsets, host_kv_cache_pool_pointers,
             host_kv_cache_pool_mapping, cache_indirection, kv_scale_orig_quant, kv_scale_quant_orig, out_scale,
             rotary_inv_freq, rotary_cos_sin, latent_cache, q_pe, block_ids_per_seq, mrope_rotary_cos_sin,
-            mrope_position_deltas, softmax_stats_tensor, spec_decoding_tensor_params, attention_sinks);
+            mrope_position_deltas, mla_tensor_params, softmax_stats_tensor, spec_decoding_tensor_params,
+            attention_sinks);
     }
 
     TLLM_LOG_TRACE("Attention op stops at layer %d", layer_idx);
diff --git a/cpp/tensorrt_llm/thop/attentionOp.h b/cpp/tensorrt_llm/thop/attentionOp.h
index ec18cc46fad..4bc6d2e6aab 100644
--- a/cpp/tensorrt_llm/thop/attentionOp.h
+++ b/cpp/tensorrt_llm/thop/attentionOp.h
@@ -58,7 +58,8 @@ void attention(torch::Tensor q, std::optional<torch::Tensor> k, std::optional<to
     std::optional<int64_t> kv_lora_rank, std::optional<int64_t> qk_nope_head_dim,
     std::optional<int64_t> qk_rope_head_dim, std::optional<int64_t> v_head_dim,
     torch::optional<torch::Tensor> mrope_rotary_cos_sin, torch::optional<torch::Tensor> mrope_position_deltas,
-    std::optional<int64_t> attention_chunk_size, std::optional<torch::Tensor> softmax_stats_tensor,
-    std::vector<bool> spec_decoding_bool_params, std::vector<std::optional<torch::Tensor>> spec_decoding_tensor_params);
+    std::vector<std::optional<torch::Tensor>> mla_tensor_params, std::optional<int64_t> attention_chunk_size,
+    std::optional<torch::Tensor> softmax_stats_tensor, std::vector<bool> spec_decoding_bool_params,
+    std::vector<std::optional<torch::Tensor>> spec_decoding_tensor_params);
 
 } // namespace torch_ext
diff --git a/tensorrt_llm/_torch/attention_backend/trtllm.py b/tensorrt_llm/_torch/attention_backend/trtllm.py
index a317149b1b6..b65d9366d0f 100644
--- a/tensorrt_llm/_torch/attention_backend/trtllm.py
+++ b/tensorrt_llm/_torch/attention_backend/trtllm.py
@@ -181,6 +181,7 @@ def plan(
         q_pe: Optional[torch.Tensor] = None,
         mrope_config: Optional[dict] = None,
         softmax_stats_tensor: Optional[torch.Tensor] = None,
+        helix_position_offsets: Optional[torch.Tensor] = None,
         is_spec_decoding_enabled: bool = False,
         use_spec_decoding: bool = False,
         is_spec_dec_tree: bool = False,
@@ -225,6 +226,7 @@ def plan(
             use_paged_context_fmha (bool): Sets the mPagedContextFMHA attribute in the op runner.
             mrope_config (dict): The dictionary containing the mRope configuration.
             softmax_stats_tensor (torch.Tensor): The tensor to store the softmax statistics (max/sum)
+            helix_position_offsets (torch.Tensor): The tensor to store the helix position offsets, with shape (num_tokens) on GPU.
             attention_sinks (torch.Tensor): The attention sinks (additional value in the denominator of the softmax) with shape of (num_heads_q) on GPU.
             chunked_prefill_buffer_batch_size (int): used for malloc buffer for k and v in fp8 context mla. the max input kv length is not max_num_tokens in this case. It is chunked_prefill_buffer_batch_size * max_num_tokens.
         """
@@ -262,6 +264,7 @@ def plan(
             'mrope_position_deltas') if mrope_config is not None else None
         self.block_ids_per_seq = block_ids_per_seq
         self.softmax_stats_tensor = softmax_stats_tensor
+        self.helix_position_offsets = helix_position_offsets
         self.attention_sinks = attention_sinks
 
         if max_sequence_length > self.rope_params.max_positions:
@@ -420,6 +423,7 @@ def run(
             self.spec_decoding_generation_lengths,
             self.spec_decoding_position_offsets, self.spec_decoding_packed_mask
         ]
+        mla_tensor_params = [self.helix_position_offsets]
 
         thop.attention(
             q,
@@ -482,6 +486,7 @@ def run(
             self.v_head_dim,
             self.mrope_rotary_cos_sin,
             self.mrope_position_deltas,
+            mla_tensor_params,
             self.attention_chunk_size,
             self.softmax_stats_tensor,
             spec_decoding_bool_params,
@@ -1214,6 +1219,7 @@ def forward(
         mrope_config: Optional[dict] = None,
         attention_window_size: Optional[int] = None,
         softmax_stats_tensor: Optional[torch.Tensor] = None,
+        helix_position_offsets: Optional[torch.Tensor] = None,
         enable_attn_nvfp4_output: bool = True,
         output: Optional[torch.Tensor] = None,
         output_sf: Optional[torch.Tensor] = None,
@@ -1284,6 +1290,7 @@ def forward(
             q_pe=q_pe,
             mrope_config=mrope_config,
             softmax_stats_tensor=softmax_stats_tensor,
+            helix_position_offsets=helix_position_offsets,
             is_spec_decoding_enabled=metadata.is_spec_decoding_enabled,
             use_spec_decoding=metadata.use_spec_decoding,
             is_spec_dec_tree=metadata.is_spec_dec_tree,

From fbe325ce57c3ba0649e3385da1bc4788372b77f0 Mon Sep 17 00:00:00 2001
From: pcastonguay <55748270+pcastonguay@users.noreply.github.com>
Date: Fri, 19 Sep 2025 08:56:09 -0400
Subject: [PATCH 33/76] [https://nvbugs/5471108][chore] Unwaiving disagg acc
 test (#7686)

Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>
---
 tests/integration/test_lists/waives.txt | 2 --
 1 file changed, 2 deletions(-)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 6ac3448ab34..5354ec77f0f 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -283,8 +283,6 @@ disaggregated/test_disaggregated.py::test_disaggregated_diff_max_tokens[TinyLlam
 disaggregated/test_disaggregated.py::test_disaggregated_deepseek_v3_lite_fp8_tp1_single_gpu_mtp[DeepSeek-V3-Lite-fp8] SKIP (https://nvbugs/5465642)
 examples/test_multimodal.py::test_llm_multimodal_general[Mistral-Small-3.1-24B-Instruct-2503-pp:1-tp:1-bfloat16-bs:1-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5431146)
 accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5470769)
-full:L40S/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5471108)
-full:L20/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5471108)
 test_e2e.py::test_multi_nodes_eval[llama4-models/nvidia/Llama-4-Maverick-17B-128E-Instruct-FP8-tp8pp2-mmlu] SKIP (https://nvbugs/5473781)
 disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_llama_context_capacity[False-False-DeepSeek-V3-Lite-fp8/fp8] SKIP (https://nvbugs/5477404)
 triton_server/test_triton.py::test_python_bls_unit_tests[python-bls-unit-tests] SKIP (https://nvbugs/5477392)

From 8030b540ac7246703291bb716b0a9eb41fb64e6f Mon Sep 17 00:00:00 2001
From: Mike Iovine <miovine@nvidia.com>
Date: Fri, 19 Sep 2025 10:30:37 -0400
Subject: [PATCH 34/76] [https://nvbugs/5522462][fix] Fix FP8 scout illegal
 memory access (#7845)

Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
---
 .../decoderMaskedMultiheadAttentionTemplate.h         |  3 ++-
 tests/integration/test_lists/test-db/l0_dgx_b200.yml  | 11 +++++++++++
 tests/integration/test_lists/waives.txt               |  1 -
 3 files changed, 13 insertions(+), 2 deletions(-)

diff --git a/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderMaskedMultiheadAttentionTemplate.h b/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderMaskedMultiheadAttentionTemplate.h
index 2403504a906..21b9112b9fe 100644
--- a/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderMaskedMultiheadAttentionTemplate.h
+++ b/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderMaskedMultiheadAttentionTemplate.h
@@ -1363,7 +1363,8 @@ __global__ void __launch_bounds__(MAX_THEADS_PER_BLOCK, MIN_BLOCKS_PER_SM) maske
 #ifndef MMHA_USE_FP32_ACCUM_FOR_LOGITS
     if (sizeof(Tk) != 4)
     {
-        auto const max_timesteps = min(timestep, static_cast<unsigned>(cyclic_kv_cache_len));
+        auto const max_timesteps
+            = min(timestep, min(chunked_attention_size, static_cast<unsigned>(cyclic_kv_cache_len)));
         logits_smem_ += divUp(max_timesteps + 1, 4u) * 16;
     }
     Tk* logits_smem = reinterpret_cast<Tk*>(logits_smem_);
diff --git a/tests/integration/test_lists/test-db/l0_dgx_b200.yml b/tests/integration/test_lists/test-db/l0_dgx_b200.yml
index 31fc2ee704c..cb0eb622d03 100644
--- a/tests/integration/test_lists/test-db/l0_dgx_b200.yml
+++ b/tests/integration/test_lists/test-db/l0_dgx_b200.yml
@@ -39,7 +39,18 @@ l0_dgx_b200:
   - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[tep4_latency_moe_trtllm-torch_compile=True]
   - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_trtllm-torch_compile=False]
   - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=False]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_auto_dtype[tp8-cuda_graph=False]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_auto_dtype[tp8ep4-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_auto_dtype[tp8ep8-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_auto_dtype[tp4-cuda_graph=False]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_auto_dtype[tp4ep2-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_auto_dtype[tp4ep4-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp8[tp8ep8-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp8[tp4-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp8ep8-cuda_graph=True]
   - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp8_chunked_prefill[tp4ep4-cuda_graph=True]
+  - accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4_chunked_prefill[tp4ep4-cuda_graph=True]
   - disaggregated/test_disaggregated.py::test_disaggregated_deepseek_v3_lite_fp8_ucx[DeepSeek-V3-Lite-fp8]
   - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-auto]
   - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[ep4-cutlass-auto]
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 5354ec77f0f..d4d1a94a7a5 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -334,7 +334,6 @@ full:H100/accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8
 full:H100/accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_eagle3[tp8-torch_compile=True] SKIP (https://nvbugs/5483534)
 full:A100/test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-video-False] SKIP (https://nvbugs/5453725)
 test_e2e.py::test_ptp_scaffolding[DeepSeek-R1-Distill-Qwen-7B-DeepSeek-R1/DeepSeek-R1-Distill-Qwen-7B] SKIP (https://nvbugs/5517260)
-accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp8_chunked_prefill[tp4ep4-cuda_graph=True] SKIP (https://nvbugs/5522462)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5522746)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-tp2pp2-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5522746)
 test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-image-False] SKIP (https://nvbugs/5523925)

From 8fcd11515dbab4242fe7263a1902f4a9ae38bc08 Mon Sep 17 00:00:00 2001
From: Kanghwan <861393+karljang@users.noreply.github.com>
Date: Fri, 19 Sep 2025 08:42:26 -0700
Subject: [PATCH 35/76] [#7704][chore] Enable MathJax to fix formulas in
 documentation (#7744)

Signed-off-by: Kanghwan Jang <861393+karljang@users.noreply.github.com>
---
 .../tech_blog/blog10_ADP_Balance_Strategy.md  | 36 +++++++++----------
 docs/source/conf.py                           | 10 ++++--
 2 files changed, 26 insertions(+), 20 deletions(-)

diff --git a/docs/source/blogs/tech_blog/blog10_ADP_Balance_Strategy.md b/docs/source/blogs/tech_blog/blog10_ADP_Balance_Strategy.md
index 3aba5ca889c..2c22cc3775a 100644
--- a/docs/source/blogs/tech_blog/blog10_ADP_Balance_Strategy.md
+++ b/docs/source/blogs/tech_blog/blog10_ADP_Balance_Strategy.md
@@ -45,44 +45,44 @@ To address this critical performance limitation, we introduce the **ADP (Attenti
 
 We model and quantify the performance impact of load imbalance in Attention DP. Since workloads across ranks can be heterogeneous, the execution time for the Attention module in any given iteration is bounded by the rank with the highest workload:
 
-```math
+$$
 time_i = \max_{0 \leq m < N} time_{i,m}
-```
+$$
 
 where $time_{i,m}$ represents the execution time of rank $m$ in iteration $i$, and $N$ is the data parallel size.
 
 To quantify load balance and theoretical performance bounds, we define two key metrics:
 
 #### 1. Balance Ratio
-The $balance\\_ratio$ measures the load distribution across ranks within the Attention module for each iteration:
+The balance ratio measures the load distribution across ranks within the Attention module for each iteration:
 
-```math
-balance\_ratio = \frac{avg\_tokens}{max\_tokens}
-```
+$$
+balance = \frac{tokens_{avg}}{tokens_{max}}
+$$
 
 where:
-- $avg\\_tokens$ represents the average number of tokens across all ranks
-- $max\\_tokens$ represents the maximum number of tokens across all ranks
+- $tokens_{avg}$ represents the average number of tokens across all ranks  
+- $tokens_{max}$ represents the maximum number of tokens across all ranks
 - $tokens_i$ represents the number of tokens processed by rank $i$
 
 Note: MoE module load balancing is handled separately by the Expert Parallel Load Balancer (EPLB) module and is not considered during the early scheduling phase.
 
 #### 2. Speed-of-Light Throughput (SOL TPS)
-The $sol\\_tps$ represents the theoretical upper-bound throughput achievable with perfect load balancing:
+The Speed-of-Light throughput represents the theoretical upper-bound throughput achievable with perfect load balancing:
 
-```math
-sol\_time = \sum_{i=0}^{\infty} time_i * balance\_ratio_i
-```
+$$
+time_{sol} = \sum_{i=0}^{\infty} time_i \times balance
+$$
 
-```math
-sol\_tps = \frac{elapsed\_time}{sol\_time} \times actual\_tps
-```
+$$
+tps_{sol} = \frac{time_{elapsed}}{time_{sol}} \times tps_{actual}
+$$
 
 where:
 - $time_i$: Measured execution time of iteration $i$
-- $elapsed\\_time$: Total empirically measured end-to-end execution time
-- $actual\\_tps$: Observed throughput in tokens per second
-- $sol\\_tps$: Theoretical maximum throughput under perfect load balance
+- $time_{elapsed}$: Total empirically measured end-to-end execution time
+- $tps_{actual}$: Observed throughput in tokens per second
+- $tps_{sol}$: Theoretical maximum throughput under perfect load balance
 
 This theoretical framework enables us to quantify the performance gap between current and optimal system utilization, providing clear targets for optimization.
 
diff --git a/docs/source/conf.py b/docs/source/conf.py
index def277aba43..c531f1c06e2 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -50,6 +50,7 @@
     'sphinx.ext.autosummary',
     'sphinx.ext.viewcode',
     'sphinx.ext.napoleon',
+    'sphinx.ext.mathjax',
     'myst_parser',  # for markdown support
     "breathe",
     'sphinx.ext.todo',
@@ -86,6 +87,8 @@
 myst_enable_extensions = [
     "deflist",
     "substitution",
+    "dollarmath",
+    "amsmath",
 ]
 
 myst_substitutions = {
@@ -167,8 +170,11 @@ def tag_role(name, rawtext, text, lineno, inliner, options=None, content=None):
 def setup(app):
     from helper import generate_examples, generate_llmapi
 
-    from tensorrt_llm.llmapi.utils import tag_llm_params
-    tag_llm_params()
+    try:
+        from tensorrt_llm.llmapi.utils import tag_llm_params
+        tag_llm_params()
+    except ImportError:
+        print("Warning: tensorrt_llm not available, skipping tag_llm_params")
 
     app.add_role('tag', tag_role)
 

From 8adaf0bb785b32e4290d305a5e1542bb3bbdafad Mon Sep 17 00:00:00 2001
From: Grzegorz Kwasniewski
 <213329731+greg-kwasniewski1@users.noreply.github.com>
Date: Fri, 19 Sep 2025 18:07:42 +0200
Subject: [PATCH 36/76] [TRTLLM-6342][feat] Support for partial sharding from
 factory (#7393)

Signed-off-by: greg-kwasniewski1 <213329731+greg-kwasniewski1@users.noreply.github.com>
Signed-off-by: Grzegorz Kwasniewski <213329731+greg-kwasniewski1@users.noreply.github.com>
---
 .../_torch/auto_deploy/config/default.yaml    |  1 +
 tensorrt_llm/_torch/auto_deploy/llm_args.py   |  2 +-
 .../auto_deploy/transform/library/sharding.py | 69 +++++++++++++++++--
 .../auto_deploy/utils/sharding_utils.py       |  5 +-
 4 files changed, 69 insertions(+), 8 deletions(-)

diff --git a/tensorrt_llm/_torch/auto_deploy/config/default.yaml b/tensorrt_llm/_torch/auto_deploy/config/default.yaml
index 49f8b67c8ee..d57b3fd40d8 100644
--- a/tensorrt_llm/_torch/auto_deploy/config/default.yaml
+++ b/tensorrt_llm/_torch/auto_deploy/config/default.yaml
@@ -69,6 +69,7 @@ transforms:
     stage: sharding
     simple_shard_only: false
     use_sharding_from_factory: false
+    support_partial_config: false
     sharding_dims: ['tp', 'ep', 'bmm']
   # TODO: (hg) need to ensure run_shape_prop after sharding.
   sharding_transform_executor:
diff --git a/tensorrt_llm/_torch/auto_deploy/llm_args.py b/tensorrt_llm/_torch/auto_deploy/llm_args.py
index faf5134d8cc..2ff564b17e3 100644
--- a/tensorrt_llm/_torch/auto_deploy/llm_args.py
+++ b/tensorrt_llm/_torch/auto_deploy/llm_args.py
@@ -164,7 +164,7 @@ class AutoDeployConfig(DynamicYamlMixInForSettings, BaseSettings):
     )
 
     sharding_dims: List[str] = Field(
-        default=["tp", "ep", "bmm"],
+        default=["tp", "ep", "dp"],
         description="The sharding methods to apply by the heuristic sharding stage.",
     )
 
diff --git a/tensorrt_llm/_torch/auto_deploy/transform/library/sharding.py b/tensorrt_llm/_torch/auto_deploy/transform/library/sharding.py
index a85389c94a7..dc4b62caafa 100644
--- a/tensorrt_llm/_torch/auto_deploy/transform/library/sharding.py
+++ b/tensorrt_llm/_torch/auto_deploy/transform/library/sharding.py
@@ -127,6 +127,7 @@ class ShardingTransformConfig(TransformConfig):
 
     simple_shard_only: bool = Field(default=False)
     use_sharding_from_factory: bool = Field(default=False)
+    support_partial_config: bool = Field(default=False)
     # Which sharding families to run: any subset of {"tp", "ep", "bmm"}
     sharding_dims: List[str] = Field(default_factory=lambda: ["tp", "ep", "bmm"])
 
@@ -185,6 +186,9 @@ def _apply(
             else ShardingConfigSource.UNKNOWN
         )
         shared_config.sharding_config.simple_shard_only = self.config.simple_shard_only
+        shared_config.sharding_config.support_partial_config = self.config.support_partial_config
+        shared_config.sharding_config.sharding_dims = self.config.sharding_dims
+
         shared_config.sharding_config.use_sharding_from_factory = (
             self.config.use_sharding_from_factory
         )
@@ -200,8 +204,6 @@ def _apply(
             factory_info = detect_sharding_from_factory_config(gm, sharding_config)
             return gm, factory_info
 
-        shared_config.sharding_config.sharding_dims = self.config.sharding_dims
-
         ad_logger.info(
             f"Running autodeploy sharding heuristics: {shared_config.sharding_config.sharding_dims}"
         )
@@ -338,8 +340,39 @@ def detect_sharding_from_factory_config(
                     # TODO: Sequence parallelism is not supported yet.
                     ad_logger.warning("Sequence parallelism is not supported yet. Skipping.")
                 elif "local" in config:
-                    # TODO: local refers to hybrid EP+TP parallelism. Not supported yet.
-                    ad_logger.warning("Local EP+TP sharding is not supported yet. Skipping.")
+                    # Check if this applies to shared experts in EP parallelism.
+                    # If yes, apply the TP col-row shard.
+                    if "shared" in module_name:
+                        col_row_action = config.replace("local_", "")
+                        if col_row_action == "colwise":
+                            sharding_config.tp_transforms.append(
+                                TPShardingInfo(
+                                    target_node=lin_node.name,
+                                    split_dim=SplitDimension.COLUMN,
+                                    rank=rank,
+                                    world_size=world_size,
+                                    dist_op=None,
+                                    min_local_shape=min_local_shape,
+                                )
+                            )
+                        elif col_row_action == "rowwise":
+                            sharding_config.tp_transforms.append(
+                                TPShardingInfo(
+                                    target_node=lin_node.name,
+                                    split_dim=SplitDimension.ROW,
+                                    rank=rank,
+                                    world_size=world_size,
+                                    dist_op="all_reduce",
+                                    min_local_shape=min_local_shape,
+                                )
+                            )
+                            num_row_col_shards += 1
+                        else:
+                            ad_logger.warning("Invalid sharding config. Skipping.")
+                    else:
+                        # TODO: local refers to hybrid EP+TP parallelism. Not supported yet.
+                        ad_logger.warning("Local EP+TP sharding is not supported yet. Skipping.")
+
                 elif "gather" in config:
                     # Simple shard (row + all_gather)
                     sharding_config.tp_transforms.append(
@@ -362,9 +395,35 @@ def detect_sharding_from_factory_config(
         f"Applied {num_shards} TP shards (simple: {num_simple_shards}, "
         f"row-col pattern: {num_row_col_shards})"
     )
+
+    num_matches = len(sharding_config.tp_transforms)
+
+    if sharding_config.support_partial_config:
+        ad_logger.info(
+            f"Partial factory config applied only for TP. "
+            f"Applying heuristics for {sharding_config.sharding_dims}."
+        )
+
+        # run EP sharding across ranks
+        if "ep" in sharding_config.sharding_dims:
+            ep_info = detect_ep_shard(gm, sharding_config)
+        else:
+            ep_info = TransformInfo(
+                skipped=True, num_matches=0, is_clean=True, has_valid_shapes=True
+            )
+
+        # run BMM sharding across ranks
+        if "bmm" in sharding_config.sharding_dims:
+            dp_bmm_info = detect_dp_bmm_shard(gm, sharding_config)
+        else:
+            dp_bmm_info = TransformInfo(
+                skipped=True, num_matches=0, is_clean=True, has_valid_shapes=True
+            )
+        num_matches += ep_info.num_matches + dp_bmm_info.num_matches
+
     return TransformInfo(
         skipped=False,
-        num_matches=len(sharding_config.tp_transforms),
+        num_matches=num_matches,
         is_clean=False,
         has_valid_shapes=False,
     )
diff --git a/tensorrt_llm/_torch/auto_deploy/utils/sharding_utils.py b/tensorrt_llm/_torch/auto_deploy/utils/sharding_utils.py
index 40680ada291..3862d03e6e5 100644
--- a/tensorrt_llm/_torch/auto_deploy/utils/sharding_utils.py
+++ b/tensorrt_llm/_torch/auto_deploy/utils/sharding_utils.py
@@ -737,6 +737,7 @@ class ShardingConfig(BaseModel):
     predefined_config: Optional[Dict[str, Any]] = None
     simple_shard_only: bool = Field(default=False)
     use_sharding_from_factory: bool = False
+    support_partial_config: bool = False
     sharding_dims: List[str] = Field(default_factory=list)
     tp_transforms: List[TPShardingInfo] = Field(default_factory=list)
     bmm_transforms: List[BMMShardingInfo] = Field(default_factory=list)
@@ -781,7 +782,7 @@ def validate_config(self) -> bool:
         tp_plan = self.predefined_config["tp_plan"]
 
         values = set(tp_plan.values())
-        allowed_values = {
+        supported_modes = {
             "colwise",  # row split and no collective
             "rowwise",  # column split and all-reduce
             "gather",  # simple shard (row + all_gather)
@@ -793,7 +794,7 @@ def validate_config(self) -> bool:
             # "local_packed_rowwise",
             # "local",
         }
-        if not values.issubset(allowed_values):
+        if not self.support_partial_config and not values.issubset(supported_modes):
             ad_logger.warning("Sharding config contains invalid values. Skipping.")
             # invalidate the config
             self.predefined_config = {}

From 2e317a7db60ec34305ebff3b69305b0733dd8f86 Mon Sep 17 00:00:00 2001
From: Chang Liu <9713593+chang-l@users.noreply.github.com>
Date: Fri, 19 Sep 2025 17:24:13 -0700
Subject: [PATCH 37/76] [https://nvbugs/5520490][fix] Fix intermittent test
 failures by avoiding external web data pulls (#7879)

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
---
 .../multimodal/test_find_num_image_tokens.py  | 44 +++++++++----------
 .../multimodal/test_mm_encoder_standalone.py  | 11 +++--
 2 files changed, 28 insertions(+), 27 deletions(-)

diff --git a/tests/unittest/_torch/multimodal/test_find_num_image_tokens.py b/tests/unittest/_torch/multimodal/test_find_num_image_tokens.py
index cffa883bd78..8f1e53c42e4 100644
--- a/tests/unittest/_torch/multimodal/test_find_num_image_tokens.py
+++ b/tests/unittest/_torch/multimodal/test_find_num_image_tokens.py
@@ -1,9 +1,9 @@
-import io
+import os
+from pathlib import Path
 
 import pytest
-import requests
-from PIL import Image
 from transformers import AutoConfig, AutoTokenizer
+from utils.llm_data import llm_models_root
 
 from tensorrt_llm import MultimodalEncoder
 from tensorrt_llm._torch.models.modeling_llava_next import \
@@ -12,38 +12,34 @@
     Qwen2VLInputProcessorBase
 from tensorrt_llm._torch.shared_tensor import SharedTensorContainer
 from tensorrt_llm.inputs import default_multimodal_input_loader
-from tensorrt_llm.inputs.utils import load_video
+from tensorrt_llm.inputs.utils import load_image, load_video
 
+test_data_root = Path(
+    os.path.join(llm_models_root(), "multimodals", "test_data"))
 example_images = [
-    "https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/seashore.png",
-    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/inpaint.png",
-    "https://huggingface.co/datasets/Sayali9141/traffic_signal_images/resolve/main/61.jpg",
+    str(test_data_root / "seashore.png"),
+    str(test_data_root / "inpaint.png"),
+    str(test_data_root / "61.jpg"),
 ]
-
 example_videos = [
-    "https://huggingface.co/datasets/Efficient-Large-Model/VILA-inference-demos/resolve/main/OAI-sora-tokyo-walk.mp4",
-    "https://huggingface.co/datasets/Efficient-Large-Model/VILA-inference-demos/resolve/main/world.mp4",
+    str(test_data_root / "OAI-sora-tokyo-walk.mp4"),
+    str(test_data_root / "world.mp4"),
 ]
 
 
-def download_image(url: str) -> Image.Image:
-    """Download image from URL and return as PIL Image."""
-    response = requests.get(url, timeout=30)
-    response.raise_for_status()
-    img = Image.open(io.BytesIO(response.content))
-    return img.convert("RGB")
-
-
 @pytest.fixture(scope="function")
 def multimodal_model_configs():
     """Get multimodal model configurations for testing."""
     model_configs = {
         'llava-v1.6-mistral-7b-hf': {
             'hf_model_dir': 'llava-hf/llava-v1.6-mistral-7b-hf',
+            'model_dir':
+            llm_models_root() / "multimodals" / "llava-v1.6-mistral-7b-hf",
             'model_type': 'llava_next',
         },
         'qwen2.5-vl': {
             'hf_model_dir': 'Qwen/Qwen2.5-VL-3B-Instruct',
+            'model_dir': llm_models_root() / "Qwen2.5-VL-3B-Instruct",
             'model_type': 'qwen2_5_vl',
         },
     }
@@ -66,7 +62,7 @@ def test_get_num_tokens_per_image(model_key, multimodal_model_configs):
         pytest.skip(f"Skipping test for {model_key} - model not available")
 
     model_config = multimodal_model_configs[model_key]
-    encoder_model_dir = model_config['hf_model_dir']
+    encoder_model_dir = model_config['model_dir']
     model_type = model_config['model_type']
 
     # Test configuration
@@ -119,10 +115,10 @@ def test_get_num_tokens_per_image(model_key, multimodal_model_configs):
             example_images
         ), f"Expected {len(example_images)} encoder outputs, got {len(encoder_outputs)}"
 
-        for image_idx, test_image_url in enumerate(example_images):
+        for image_idx, test_image in enumerate(example_images):
 
             # Get test image dimensions
-            test_image = download_image(test_image_url)
+            test_image = load_image(test_image, format="pil")
             image_width, image_height = test_image.size
 
             # Get actual embedding tensor for this image
@@ -173,7 +169,7 @@ def test_get_num_tokens_per_video(model_key, multimodal_model_configs):
         pytest.skip(f"Skipping test for {model_key} - model not available")
 
     model_config = multimodal_model_configs[model_key]
-    encoder_model_dir = model_config['hf_model_dir']
+    encoder_model_dir = model_config['model_dir']
     model_type = model_config['model_type']
 
     # Test configuration
@@ -226,10 +222,10 @@ def test_get_num_tokens_per_video(model_key, multimodal_model_configs):
             example_videos
         ), f"Expected {len(example_videos)} encoder outputs, got {len(encoder_outputs)}"
 
-        for video_idx, test_video_url in enumerate(example_videos):
+        for video_idx, test_video in enumerate(example_videos):
 
             # Get test video dimensions
-            test_video = load_video(test_video_url, num_frames=8, format="pil")
+            test_video = load_video(test_video, num_frames=8, format="pil")
             # load_video returns a list of frames, we only have one video
             video_width, video_height = test_video[0].size
 
diff --git a/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py b/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py
index e42e07654fb..30c3481cf06 100644
--- a/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py
+++ b/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py
@@ -2,6 +2,7 @@
 import os
 
 import pytest
+from utils.llm_data import llm_models_root
 
 from tensorrt_llm import MultimodalEncoder
 from tensorrt_llm._torch.shared_tensor import SharedTensorContainer
@@ -22,8 +23,12 @@ def multimodal_model_config():
     # You can extend this to support multiple models or get from environment
     model_configs = {
         'llava-v1.6-mistral-7b-hf': {
-            'model_name': 'llava-v1.6-mistral-7b-hf',
-            'hf_model_dir': 'llava-hf/llava-v1.6-mistral-7b-hf',
+            'model_name':
+            'llava-v1.6-mistral-7b-hf',
+            'hf_model_dir':
+            'llava-hf/llava-v1.6-mistral-7b-hf',
+            'model_dir':
+            llm_models_root() / "multimodals" / "llava-v1.6-mistral-7b-hf",
         }
     }
 
@@ -47,7 +52,7 @@ def test_single_image_chat(model_key, multimodal_model_config):
         )
 
     # Extract model information from config
-    encoder_model_dir = multimodal_model_config['hf_model_dir']
+    encoder_model_dir = multimodal_model_config['model_dir']
 
     # Test configuration
     max_tokens = 64

From e943a39cbd17400fc4e9ff83f384a1d9089b83ca Mon Sep 17 00:00:00 2001
From: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Date: Sat, 20 Sep 2025 18:15:39 +0800
Subject: [PATCH 38/76] [None][doc] Update tech blog12 (#7884)

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
---
 ...uided_Decoding_and_Speculative_Decoding.md | 22 +++++++++----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md b/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md
index e6444ce8ce1..4ec1fc7a8d9 100644
--- a/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md
+++ b/docs/source/blogs/tech_blog/blog12_Combining_Guided_Decoding_and_Speculative_Decoding.md
@@ -1,6 +1,6 @@
 # Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly
 
-*By NVIDIA TensorRT LLM Team and XGrammar Team*
+*By NVIDIA TensorRT LLM Team and the XGrammar Team*
 
 ## Table of Contents
 - [Combining Guided Decoding and Speculative Decoding: Making CPU and GPU Cooperate Seamlessly](#combining-guided-decoding-and-speculative-decoding-making-cpu-and-gpu-cooperate-seamlessly)
@@ -49,7 +49,7 @@ TensorRT LLM integrates third-party grammar backends (e.g., [XGrammar](https://g
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_constrained_decoding_pipeline_overlap.png" width="600">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_constrained_decoding_pipeline_overlap.png" width="800">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 1: Top: guided decoding timeline without overlapping. Bottom: guided decoding timeline with overlapping. (This figure is from the XGrammar paper.)</em></sub></p>
@@ -62,7 +62,7 @@ TensorRT LLM has two kinds of speculative decoding implementations, namely the o
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_one_model_vs_two_model.png" width="600">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_one_model_vs_two_model.png" width="800">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 2: Top: GPU timeline of one-model speculative decoding. Bottom: GPU timeline of two-model speculative decoding.</em></sub></p>
@@ -83,7 +83,7 @@ Second, specific to the one-model speculative decoding where a single CUDA graph
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps.png" width="800">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps.png" width="1000">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 3: The CPU-GPU synchronization for multiple model forwards.</em></sub></p>
@@ -139,7 +139,7 @@ Hence, we can launch grammar computation along with other auxiliary host functio
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps_by_cuda_callback.png" width="800">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_cpu_gpu_synchronization_for_multiple_steps_by_cuda_callback.png" width="1000">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 4: The CPU-GPU synchronization for multiple model forwards by CUDA callback.</em></sub></p>
@@ -247,9 +247,9 @@ x = torch.randint(0, 100, (100,), dtype=torch.int64, device='cuda')
 y = torch.zeros(100, x.max(), dtype=torch.int64, device='cuda')
 ```
 
-The other case is that `torch.compile` kernels are called with GIL being held ([Issue 163061](https://github.com/pytorch/pytorch/issues/163061)), although Triton kernels are called with GIL released. Hence, we have to avoid any problematic operations and disable `torch.compile` when using CUDA callback to Python code, until these issues are fixed by PyTorch.
+The other case is that `torch.compile` kernels are called with GIL being held ([Issue 163061](https://github.com/pytorch/pytorch/issues/163061)), although Triton kernels are called with GIL released. Hence, we have to avoid any problematic operators and disable `torch.compile` when using CUDA callback to Python code ([PR 7871](https://github.com/NVIDIA/TensorRT-LLM/pull/7871)), until these issues are fixed by PyTorch.
 
-Another source of risk comes from some runtime components that are implemented in C++ and exposed as Python bindings; they may make CUDA API calls as well. By default, Python bindings do not release GIL. Hence, we swept these Python bindings and released GIL properly in [PR 6948](https://github.com/NVIDIA/TensorRT-LLM/pull/6948).
+Another source of risk comes from some runtime components that are implemented in C++ and exposed as Python bindings; they may make CUDA API calls as well. By default, Python bindings do not release GIL. Hence, we swept these Python bindings and released GIL properly ([PR 6948](https://github.com/NVIDIA/TensorRT-LLM/pull/6948)).
 
 After all these efforts, the hang issue disappears. It is generally recommended to release the GIL when calling C++ code from Python; even without the context of CUDA callback, this is beneficial for multi-threading performance. However, we acknowledge the limitation that it is difficult to make sure that every such place has been properly handled, and that future code changes do not introduce any risks.
 
@@ -261,7 +261,7 @@ We benchmark the performance of guided decoding on two datasets [JSON Mode Eval]
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.1_8b.png" width="600">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.1_8b.png" width="800">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 5: Pareto curve on LLaMA 3.1 8B TP1 on H200, JSON Mode Eval. The concurrency ranges from 1 to 128.</em></sub></p>
@@ -269,7 +269,7 @@ We benchmark the performance of guided decoding on two datasets [JSON Mode Eval]
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.3_70b.png" width="600">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_mode_eval_llama_3.3_70b.png" width="800">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 6: Pareto curve on LLaMA 3.3 70B TP4 on H200, JSON Mode Eval. The concurrency ranges from 1 to 128.</em></sub></p>
@@ -280,14 +280,14 @@ Note that although NGram is a two-model implementation, it performs surprisingly
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.1_8b.png" width="600">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.1_8b.png" width="800">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 7: Pareto curve on LLaMA 3.1 8B TP1 on H200, JSON Schema Bench. The concurrency ranges from 1 to 128.</em></sub></p>
 
 <div align="center">
 <figure>
-  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.3_70b.png" width="600">
+  <img src="https://github.com/NVIDIA/TensorRT-LLM/raw/main/docs/source/blogs/media/tech_blog12_pareto_curve_json_schema_bench_llama_3.3_70b.png" width="800">
 </figure>
 </div>
 <p align="center"><sub><em>Figure 8: Pareto curve on LLaMA 3.3 70B TP4 on H200, JSON Schema Bench. The concurrency ranges from 1 to 128.</em></sub></p>

From e10a027a0367ee5b36f68d4a3d021bdb8f8e8e48 Mon Sep 17 00:00:00 2001
From: brb-nv <169953907+brb-nv@users.noreply.github.com>
Date: Sat, 20 Sep 2025 06:15:26 -0700
Subject: [PATCH 39/76] [TRTLLM-7731][feat] KV cache transmission in disagg
 with CP on gen side (#7624)

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>
---
 .../batch_manager/mlaCacheFormatter.cpp       | 109 +++++++-----
 .../batch_manager/mlaCacheFormatter.h         |  18 ++
 .../cache_transmission/cacheSplitConcat.cu    | 159 ++++++++++--------
 .../cache_transmission/cacheSplitConcat.h     |   6 +-
 .../multi_gpu/cacheTransceiverTest.cpp        |  89 +++++++++-
 5 files changed, 250 insertions(+), 131 deletions(-)

diff --git a/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp b/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp
index b0fba653635..8a32d2b70c8 100644
--- a/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp
+++ b/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp
@@ -37,12 +37,39 @@
 namespace tensorrt_llm::batch_manager::kv_cache_manager
 {
 
+int getBlockNumAccountingForCP(int cpRank, int cpSize, int numTotalBlocks, bool strict)
+{
+    TLLM_CHECK(cpRank >= 0 && cpRank < cpSize);
+    if (cpSize == 1)
+    {
+        return numTotalBlocks;
+    }
+    // NOTE: Non-strict mode may over-allocate blocks when numTotalBlocks is not divisible by cpSize.
+    // This is a known limitation and will be addressed in a future MR.
+    if (!strict)
+    {
+        // Simple ceiling division.
+        return (numTotalBlocks + cpSize - 1) / cpSize;
+    }
+    // In strict mode, blocks are distributed among CP ranks in a round-robin fashion as evenly as possible.
+    // When the number of blocks is not divisible by cpSize, the remainder shall be distributed evenly among
+    // lowest-indexed CP ranks (let's call them overflow ranks).
+    int numBlocksCurrRank = numTotalBlocks / cpSize;
+    if (numTotalBlocks % cpSize > cpRank)
+    {
+        numBlocksCurrRank++;
+    }
+    return numBlocksCurrRank;
+}
+
 // some context rank in connection
 std::vector<size_t> MLACacheFormatter::pickRecvConnections(
     size_t numConnections, CacheState const& selfConfig, SizeType32 selfIdx, CacheState const& destConfig) const
 {
 
     auto targetInfo = executor::kv_cache::targetIRanks(destConfig, selfConfig, selfIdx);
+    // This function is called only by gen side and we only support CPSize=1 on context size.
+    TLLM_CHECK(targetInfo.mDomainCPSize == 1);
     TLLM_CHECK(numConnections == targetInfo.mIRanks.size());
     std::vector<size_t> ret;
     // targetInfo , mRanks [tpranks, dpranks]
@@ -97,14 +124,11 @@ void MLACacheFormatter::format(tensorrt_llm::batch_manager::TransferSession& ses
     auto& bufferManager = session.getBufferManager();
     TLLM_CHECK_WITH_INFO(llmRequest.mSamplingConfig.beamWidth == 1, "Currently only supports beam width 1.");
     TLLM_CHECK(!connections.empty());
-    // diff start
     if (!needSendCache(selfConfig, destConfig, selfIdx))
     {
         return;
     }
 
-    // diff end
-
     auto const numPools = mCacheManager->getBlockManager().getNumPools();
     auto blockRange = getBlockRangeForSending(mCacheManager, llmRequest);
 
@@ -147,43 +171,48 @@ void MLACacheFormatter::format(tensorrt_llm::batch_manager::TransferSession& ses
         return;
     }
 
-    auto cacheBlockSize = inputKvCacheBlocks.at(0)->getSize();
-
-    auto cacheBufferId = mCacheTransBufferManager->assignBufferIndexForSend();
-    // diff start
-
     auto targetInfo = executor::kv_cache::targetIRanks(destConfig, selfConfig, selfIdx);
-    auto ppRank = selfIdx
-        / (selfConfig.getParallelConfig().mTensorParallelism * selfConfig.getParallelConfig().mContextParallelism);
-    int selfAttentionLayerNum = selfConfig.getParallelConfig().mAttentionLayerNumPerPP.at(ppRank);
     size_t pPDomainSize = targetInfo.mDomainPPSize;
+    size_t cPDomainSize = targetInfo.mDomainCPSize;
+
     auto getBufferSizeForTarget = [&]()
     {
-        std::vector<size_t> bufferSizeForTarget(pPDomainSize, 0);
-        size_t cacheSizePerLayer = cacheBlockSize * blockNum / selfAttentionLayerNum;
-        for (size_t i = 0; i < pPDomainSize; i++)
+        auto const ppRank = selfIdx
+            / (selfConfig.getParallelConfig().mTensorParallelism * selfConfig.getParallelConfig().mContextParallelism);
+        auto const selfAttentionLayerNum = selfConfig.getParallelConfig().mAttentionLayerNumPerPP.at(ppRank);
+        auto const cacheBlockSize = inputKvCacheBlocks.at(0)->getSize();
+        auto const blockSizePerLayer = cacheBlockSize / selfAttentionLayerNum;
+        std::vector<size_t> bufferSizeForTarget(pPDomainSize * cPDomainSize, 0);
+        for (size_t ppDomainIdx = 0; ppDomainIdx < pPDomainSize; ppDomainIdx++)
         {
-            auto layerNum = targetInfo.getPeerPPDomainLayerNum(i);
-            bufferSizeForTarget[i] = cacheSizePerLayer * layerNum;
+            auto const peerAttentionLayerNum = targetInfo.getPeerPPDomainLayerNum(ppDomainIdx);
+            for (size_t cpDomainIdx = 0; cpDomainIdx < cPDomainSize; cpDomainIdx++)
+            {
+                auto const idx = cpDomainIdx * pPDomainSize + ppDomainIdx;
+                // Note: contextCP is always 1. So, cpDomainSize == genCPSize and cpDomainIdx == genCPRank.
+                auto const peerBlockNum
+                    = getBlockNumAccountingForCP(cpDomainIdx, cPDomainSize, blockNum, /*strict=*/false);
+                bufferSizeForTarget[idx] = blockSizePerLayer * peerAttentionLayerNum * peerBlockNum;
+            }
         }
         return bufferSizeForTarget;
     };
     auto bufferEleSizes = getBufferSizeForTarget();
+    auto cacheBufferId = mCacheTransBufferManager->assignBufferIndexForSend();
     auto result = mCacheTransBufferManager->getOrAllocateSendBuffers(
-        cacheBufferId, static_cast<int>(pPDomainSize), bufferEleSizes, bufferManager);
+        cacheBufferId, static_cast<int>(pPDomainSize * cPDomainSize), bufferEleSizes, bufferManager);
     auto& outputSplitCaches = std::get<0>(result);
     auto& bufferCoverTargetNum = std::get<1>(result);
     auto& onlyUseDynamicBuffer = std::get<2>(result);
     auto* agentConnnecion = dynamic_cast<executor::kv_cache::AgentConnection const*>(connections[0]);
     if (agentConnnecion != nullptr)
     {
-        TLLM_CHECK_WITH_INFO(bufferCoverTargetNum == pPDomainSize, "Agent need all buffer pre-allocated");
+        TLLM_CHECK_WITH_INFO(
+            bufferCoverTargetNum == pPDomainSize * cPDomainSize, "Agent need all buffer pre-allocated");
         TLLM_CHECK(onlyUseDynamicBuffer == false);
     }
-    // diff end
-
-    // The size of outputSplitCaches should be equal to pPDomainSize
 
+    // The size of outputSplitCaches should be equal to pPDomainSize * cPDomainSize.
     SizeType32 window = mCacheManager->getBlockManager().getPoolWindowSize(0);
     std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>> inputKvCacheBlocksPerWindow;
     inputKvCacheBlocksPerWindow.emplace(window, inputKvCacheBlocks);
@@ -203,7 +232,7 @@ void MLACacheFormatter::format(tensorrt_llm::batch_manager::TransferSession& ses
 
         TLLM_CUDA_CHECK(cudaSetDevice(deviceId));
         auto startTime = std::chrono::steady_clock::now();
-        auto cacheIdx = processIdx % pPDomainSize;
+        auto cacheIdx = processIdx % (pPDomainSize * cPDomainSize);
         if (cacheIdx < bufferCoverTargetNum)
         {
             size_t size = outputSplitCaches.at(cacheIdx)->getSizeInBytes();
@@ -259,7 +288,8 @@ void MLACacheFormatter::format(tensorrt_llm::batch_manager::TransferSession& ses
         else
         {
             // concurrency num
-            auto concurrencyNum = std::min(std::max(static_cast<size_t>(1), bufferCoverTargetNum), pPDomainSize);
+            auto concurrencyNum
+                = std::min(std::max(static_cast<size_t>(1), bufferCoverTargetNum), pPDomainSize * cPDomainSize);
 
             auto remainSendNum = connections.size();
 
@@ -307,9 +337,7 @@ void MLACacheFormatter::unformat(tensorrt_llm::batch_manager::TransferSession& s
     auto& bufferManager = session.getBufferManager();
     auto arrivalTime = llmRequest.getPerfMetrics().timingMetrics.arrivalTime;
     bool recordDelay = arrivalTime != std::chrono::steady_clock::time_point();
-    // diff start
     auto pickUpConnections = pickRecvConnections(connections.size(), selfConfig, selfIdx, destConfig);
-    // diff end
     auto blockRange = getBlockRangeForReceiving(mCacheManager, llmRequest);
     std::vector<runtime::ITensor::SharedPtr> recvBufferTmps;
     std::vector<runtime::ITensor::SharedPtr> outputBuffers;
@@ -364,23 +392,24 @@ void MLACacheFormatter::unformat(tensorrt_llm::batch_manager::TransferSession& s
             cacheBufferId = mCacheTransBufferManager->assignBufferIndexForRecv();
         }
 
-        auto cacheBlockSize = outputBuffers.at(0)->getSize();
-
         auto targetNum = pickUpConnections.size();
-        auto targetInfo = executor::kv_cache::targetIRanks(destConfig, selfConfig, selfIdx);
-        auto ppRank = selfIdx
-            / (selfConfig.getParallelConfig().mTensorParallelism * selfConfig.getParallelConfig().mContextParallelism);
-        auto selfAttentionLayerNum = selfConfig.getParallelConfig().mAttentionLayerNumPerPP.at(ppRank);
-        TLLM_CHECK_WITH_INFO(selfAttentionLayerNum != 0, "selfAttentionLayerNum should not be 0");
 
         auto getBufferSizeForTarget = [&]()
         {
+            auto const targetInfo = executor::kv_cache::targetIRanks(destConfig, selfConfig, selfIdx);
+            auto const cacheBlockSize = outputBuffers.at(0)->getSize();
+            auto const ppRank = selfIdx
+                / (selfConfig.getParallelConfig().mTensorParallelism
+                    * selfConfig.getParallelConfig().mContextParallelism);
+            auto const selfAttentionLayerNum = selfConfig.getParallelConfig().mAttentionLayerNumPerPP.at(ppRank);
+            TLLM_CHECK_WITH_INFO(selfAttentionLayerNum != 0, "selfAttentionLayerNum should not be 0");
             std::vector<size_t> bufferEleSizes(targetNum, 0);
-            auto cacheSizePerLayer = cacheBlockSize * blockNum / selfAttentionLayerNum;
+            auto const cacheSizePerLayer = cacheBlockSize * blockNum / selfAttentionLayerNum;
             for (size_t i = 0; i < targetNum; i++)
             {
-                auto layerNum = targetInfo.getPeerPPDomainLayerNum(static_cast<SizeType32>(pickUpConnections[i]));
-                bufferEleSizes[i] = cacheSizePerLayer * layerNum;
+                auto const peerAttentionLayerNum
+                    = targetInfo.getPeerPPDomainLayerNum(static_cast<SizeType32>(pickUpConnections[i]));
+                bufferEleSizes[i] = cacheSizePerLayer * peerAttentionLayerNum;
             }
             return bufferEleSizes;
         };
@@ -506,7 +535,7 @@ void MLACacheFormatter::unformat(tensorrt_llm::batch_manager::TransferSession& s
             outputCachesPerWindow.emplace(window, outputBuffers);
             NVTX3_SCOPED_RANGE(formatInputConcatenate);
 
-            // recvSplitCaches size == ppdomainsize
+            // recvSplitCaches size == ppdomainsize * cpdomainsize.
             executor::kv_cache::concatKvCacheV2Dispatch(
                 recvSplitCaches, outputCachesPerWindow, destConfig, selfConfig, selfIdx, bufferManager);
         }
@@ -581,14 +610,6 @@ void MLACacheFormatter::unformat(tensorrt_llm::batch_manager::TransferSession& s
         TLLM_LOG_WARNING("MLACacheFormatter::inquireSupport: TP size must be divisible by DP size");
         return false;
     }
-    if (selfConfig.getParallelConfig().mContextParallelism != 1
-        || destConfig.getParallelConfig().mContextParallelism != 1)
-    {
-        TLLM_LOG_WARNING(
-            "MLACacheFormatter::inquireSupport: context parallelism is not currently supported (selfCP=%d, destCP=%d).",
-            selfConfig.getParallelConfig().mContextParallelism, destConfig.getParallelConfig().mContextParallelism);
-        return false;
-    }
     if (destConfig.getParallelConfig().mEnableAttentionDP
         && (destConfig.getParallelConfig().mTensorParallelism % destConfig.getParallelConfig().mDPsize != 0))
     {
diff --git a/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.h b/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.h
index acaf231363d..d352e49d78f 100644
--- a/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.h
+++ b/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.h
@@ -22,6 +22,24 @@
 namespace tensorrt_llm::batch_manager::kv_cache_manager
 {
 
+/**
+ * @brief Calculate the number of blocks allocated to a specific Context Parallelism (CP) rank.
+ *
+ * This function determines how many blocks should be allocated to a given CP rank when
+ * distributing a total number of blocks across multiple CP ranks. It supports two distribution
+ * modes: strict and non-strict.
+ *
+ * @param cpRank The rank (index) of the current CP process. Must be in range [0, cpSize).
+ * @param cpSize The total number of CP ranks/processes in the parallel group.
+ * @param numTotalBlocks The total number of blocks to be distributed across all CP ranks.
+ * @param strict Flag controlling the distribution strategy:
+ *               - true: Use strict round-robin distribution with exact allocation
+ *               - false: Use ceiling division which may over-allocate
+ *
+ * @return The number of blocks allocated to the specified CP rank.
+ */
+int getBlockNumAccountingForCP(int cpRank, int cpSize, int numTotalBlocks, bool strict);
+
 // Simple cache block copy. Because it does not involve data splitting or merging, it performs best when the
 // parallel topology is completely identical, making it the preferred method.
 class MLACacheFormatter final : public BaseCacheFormatter
diff --git a/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.cu b/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.cu
index df2b38f09bc..a288b7e8833 100644
--- a/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.cu
+++ b/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.cu
@@ -543,7 +543,7 @@ nvinfer1::Dims makeShapeFromCacheState(kv_cache::CacheState const& cacheState)
             cacheState.getAttentionConfig().mKvFactor, blockSize});
 }
 
-__device__ __forceinline__ void getLayerIdInDomainPPandRankInDomainPP(int layerId, int DomainPPSize,
+__device__ __forceinline__ void getLayerIdInDomainPPandRankInDomainPP(int layerId, int domainPPSize,
     uint64_t* prefixLayerNumDevPtr, int& layerIdInDomainPP, int& rankInDomainPP, int& layerNumInSpecPP)
 {
     __shared__ int sharedLayerIdInDomainPP;
@@ -551,7 +551,7 @@ __device__ __forceinline__ void getLayerIdInDomainPPandRankInDomainPP(int layerI
     __shared__ int sharedLayerNumInSpecPP;
 
 #pragma unroll 1
-    for (int ppRank = threadIdx.x; ppRank < DomainPPSize; ppRank += blockDim.x)
+    for (int ppRank = threadIdx.x; ppRank < domainPPSize; ppRank += blockDim.x)
     {
         if (layerId >= prefixLayerNumDevPtr[ppRank] && layerId < prefixLayerNumDevPtr[ppRank + 1])
         {
@@ -572,8 +572,8 @@ __device__ __forceinline__ void getLayerIdInDomainPPandRankInDomainPP(int layerI
 
 template <typename T, int subWarpSize, int vecSizeByte>
 __global__ void splitKVCacheForMLAKernel(T const** __restrict__ inputBlocks, T** __restrict__ outputCaches,
-    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int inputBlockNum, int DomainPPSize,
-    int DomainTPSize, int kvFactor, uint64_t* prefixLayerNumDevPtr)
+    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int inputBlockNum, int domainPPSize,
+    int domainTPSize, int domainCPSize, int kvFactor, uint64_t* prefixLayerNumDevPtr)
 {
     int const subWarpId = threadIdx.x / subWarpSize;
     int const laneId = threadIdx.x % subWarpSize;
@@ -594,7 +594,7 @@ __global__ void splitKVCacheForMLAKernel(T const** __restrict__ inputBlocks, T**
             int rankInDomainPP{};
             int layerNumInSpecPP{};
             getLayerIdInDomainPPandRankInDomainPP(
-                layerId, DomainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
+                layerId, domainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
 
 #pragma unroll 1
             for (int headId = 0; headId < headNum; headId++)
@@ -602,13 +602,23 @@ __global__ void splitKVCacheForMLAKernel(T const** __restrict__ inputBlocks, T**
                 T const* inputBlockPtr = inputBlocks[blockId];
                 T const* kInputPtr = inputBlockPtr + layerId * kvFactor * headNum * tokensPerBlock * dimsPerHead
                     + headId * tokensPerBlock * dimsPerHead;
-                int outputCacheIdx = rankInDomainPP;
+                // Example to understand the indexing: Say PP=2 and CP=2 for generation while PP=1 and CP=1 for context:
+                // genRank 0 is ppRank0, cpRank0
+                // genRank 1 is ppRank0, cpRank1
+                // genRank 2 is ppRank1, cpRank0
+                // genRank 3 is ppRank1, cpRank1
+                // However, the order of cache transmission (targetRankInfo.mIRanks) is {0, 2, 1, 3}. i.e. {{pp0cp0},
+                // {pp1cp0}, {pp0cp1}, {pp1cp1}}. So, outputCaches of all ppRanks corresponding to a given cpRank are
+                // grouped together. We do blockId % domainCPSize because blocks are distributed among cpRanks in a
+                // round-robin fashion.
+                int outputCacheIdx = (blockId % domainCPSize) * domainPPSize + rankInDomainPP;
                 T* outputCachePtr = outputCaches[outputCacheIdx];
 
                 int const headIdInDomainTP = headId;
+                int const blockIdInDomainCP = blockId / domainCPSize;
 
                 T* kOutputPtr = outputCachePtr
-                    + blockId * (layerNumInSpecPP * kvFactor * headNum * tokensPerBlock * dimsPerHead)
+                    + blockIdInDomainCP * (layerNumInSpecPP * kvFactor * headNum * tokensPerBlock * dimsPerHead)
                     + layerIdInDomainPP * kvFactor * headNum * tokensPerBlock * dimsPerHead
                     + headIdInDomainTP * tokensPerBlock * dimsPerHead;
                 int const kvOffset = headNum * tokensPerBlock * dimsPerHead;
@@ -642,11 +652,11 @@ __global__ void splitKVCacheForMLAKernel(T const** __restrict__ inputBlocks, T**
 
 template <typename T, int subWarpSize, int subWarpNumInGroup, int vecSizeByte>
 __global__ void splitKVCacheKernel(T const** __restrict__ inputBlocks, T** __restrict__ outputCaches,
-    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int inputBlockNum, int DomainPPSize,
-    int DomainTPSize, int headNumDomainTP, uint64_t* prefixLayerNumDevPtr)
+    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int inputBlockNum, int domainPPSize,
+    int domainTPSize, int headNumDomainTP, uint64_t* prefixLayerNumDevPtr)
 {
 
-    // layerNumDomainPP =  numLayers/DomainPPSize
+    // layerNumDomainPP =  numLayers/domainPPSize
 
     int const subWarpId = threadIdx.x / subWarpSize;
     int const laneId = threadIdx.x % subWarpSize;
@@ -670,7 +680,7 @@ __global__ void splitKVCacheKernel(T const** __restrict__ inputBlocks, T** __res
             int rankInDomainPP{};
             int layerNumInSpecPP{};
             getLayerIdInDomainPPandRankInDomainPP(
-                layerId, DomainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
+                layerId, domainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
 
 #pragma unroll 1
 
@@ -683,7 +693,7 @@ __global__ void splitKVCacheKernel(T const** __restrict__ inputBlocks, T** __res
                 T const* vInputPtr = inputBlockPtr + (layerId * 2 + 1) * headNum * tokensPerBlock * dimsPerHead
                     + headId * tokensPerBlock * dimsPerHead;
 
-                int outputCacheIdx = headId / headNumDomainTP * DomainPPSize + rankInDomainPP;
+                int outputCacheIdx = headId / headNumDomainTP * domainPPSize + rankInDomainPP;
                 T* outputCachePtr = outputCaches[outputCacheIdx];
 
                 int headIdInDomainTP = headId % headNumDomainTP;
@@ -773,7 +783,7 @@ __device__ __forceinline__ void getPosId(int const posLayerId, int const* blockN
 template <typename T, int subWarpSize, int subWarpNumInGroup, int vecSizeByte>
 __global__ void splitKVCacheForWindowKernel(T const** __restrict__ inputBlocks, T** __restrict__ outputCaches,
     int const* blockNumPerWindow, int const* layersPerWindow, int windowNum, int inputAllLayerNum, int tokensPerBlock,
-    int headNum, int dimsPerHead, int inputBlockNum, int DomainPPSize, int DomainTPSize, int headNumDomainTP)
+    int headNum, int dimsPerHead, int inputBlockNum, int domainPPSize, int domainTPSize, int headNumDomainTP)
 {
 
     int const subWarpId = threadIdx.x / subWarpSize;
@@ -793,7 +803,7 @@ __global__ void splitKVCacheForWindowKernel(T const** __restrict__ inputBlocks,
     {
         int inputBlockId, inputLayerId, outputAllLayerOffset;
         int outputPPOffset;
-        getPosId(threadBlockIdx, blockNumPerWindow, layersPerWindow, windowNum, DomainPPSize, inputBlockId,
+        getPosId(threadBlockIdx, blockNumPerWindow, layersPerWindow, windowNum, domainPPSize, inputBlockId,
             inputLayerId, outputAllLayerOffset, outputPPOffset);
 
         T const* inputBlockPtr = inputBlocks[inputBlockId];
@@ -804,7 +814,7 @@ __global__ void splitKVCacheForWindowKernel(T const** __restrict__ inputBlocks,
         {
             T const* kInputPtr = inputLayerPtr + headId * tokensPerBlock * dimsPerHead;
             T const* vInputPtr = kInputPtr + headNum * tokensPerBlock * dimsPerHead;
-            int outputCacheIdx = headId / headNumDomainTP * DomainPPSize + outputPPOffset;
+            int outputCacheIdx = headId / headNumDomainTP * domainPPSize + outputPPOffset;
             int headIdInDomainTP = headId % headNumDomainTP;
             T* outputCachePtr = outputCaches[outputCacheIdx];
             T* kOutputPtr = outputCachePtr + outputLayerEleOffset + headIdInDomainTP * tokensPerBlock * dimsPerHead;
@@ -829,8 +839,8 @@ __global__ void splitKVCacheForWindowKernel(T const** __restrict__ inputBlocks,
 
 template <typename T, int subWarpSize, int vecSizeByte>
 __global__ void concatKVCacheForMLAKernel(T const** __restrict__ inputCaches, T** __restrict__ outputBlocks,
-    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int outputBlockNum, int DomainPPSize,
-    int DomainTPSize, int kvFactor, uint64_t* prefixLayerNumDevPtr)
+    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int outputBlockNum, int domainPPSize,
+    int domainTPSize, int kvFactor, uint64_t* prefixLayerNumDevPtr)
 {
 
     int const subWarpId = threadIdx.x / subWarpSize;
@@ -849,7 +859,7 @@ __global__ void concatKVCacheForMLAKernel(T const** __restrict__ inputCaches, T*
             int rankInDomainPP{};
             int layerNumInSpecPP{};
             getLayerIdInDomainPPandRankInDomainPP(
-                layerId, DomainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
+                layerId, domainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
 #pragma unroll 1
 
             for (int headId = 0; headId < headNum; headId++)
@@ -890,7 +900,7 @@ __global__ void concatKVCacheForMLAKernel(T const** __restrict__ inputCaches, T*
 
 template <typename T, int subWarpSize, int subWarpNumInGroup, int vecSizeByte>
 __global__ void concatKVCacheKernel(T const** __restrict__ inputCaches, T** __restrict__ outputBlocks,
-    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int outputBlockNum, int DomainPPSize,
+    int tokensPerBlock, int numLayers, int headNum, int dimsPerHead, int outputBlockNum, int domainPPSize,
     int DomainTPSize, int headNumDomainTP, uint64_t* prefixLayerNumDevPtr)
 {
     int const subWarpId = threadIdx.x / subWarpSize;
@@ -912,7 +922,7 @@ __global__ void concatKVCacheKernel(T const** __restrict__ inputCaches, T** __re
             int rankInDomainPP{};
             int layerNumInSpecPP{};
             getLayerIdInDomainPPandRankInDomainPP(
-                layerId, DomainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
+                layerId, domainPPSize, prefixLayerNumDevPtr, layerIdInDomainPP, rankInDomainPP, layerNumInSpecPP);
 
 #pragma unroll 1
             for (int headId = subWarpGroupId; headId < headNum; headId += subWarpGroupNum)
@@ -924,7 +934,7 @@ __global__ void concatKVCacheKernel(T const** __restrict__ inputCaches, T** __re
                 T* vOutputPtr = outputBlockPtr + (layerId * 2 + 1) * headNum * tokensPerBlock * dimsPerHead
                     + headId * tokensPerBlock * dimsPerHead;
 
-                int inputCacheIdx = headId / headNumDomainTP * DomainPPSize + rankInDomainPP;
+                int inputCacheIdx = headId / headNumDomainTP * domainPPSize + rankInDomainPP;
                 T const* inputCachePtr = inputCaches[inputCacheIdx];
 
                 int headIdInDomainTP = headId % headNumDomainTP;
@@ -956,13 +966,13 @@ template <typename T, int subWarpSize, int subWarpNumInGroup, int vecSizeByte>
 // __maxnreg__(32)
 __global__ void concatKVCacheForWindowKernel(T const** __restrict__ inputCaches, T** __restrict__ outputBlocks,
     int const* blockNumPerWindow, int const* layersPerWindow, int windowNum, int outputAllLayerNum, int tokensPerBlock,
-    int headNum, int dimsPerHead, int outputBlockNum, int DomainPPSize, int DomainTPSize, int headNumDomainTP)
+    int headNum, int dimsPerHead, int outputBlockNum, int domainPPSize, int domainTPSize, int headNumDomainTP)
 {
 
     int const subWarpId = threadIdx.x / subWarpSize;
     int const laneId = threadIdx.x % subWarpSize;
     int const subWarpNum = blockDim.x / subWarpSize;
-    int const subWarpGroupId = subWarpId / subWarpNumInGroup; //
+    int const subWarpGroupId = subWarpId / subWarpNumInGroup;
     int const subWarpGroupNum = subWarpNum / subWarpNumInGroup;
     int const subWarpIdInGroup = subWarpId % subWarpNumInGroup;
     static_assert(vecSizeByte >= sizeof(T));
@@ -974,7 +984,7 @@ __global__ void concatKVCacheForWindowKernel(T const** __restrict__ inputCaches,
     {
         int outputBlockId, outputLayerId, inputAllLayerOffset;
         int inputPPOffset;
-        getPosId(threadBlockIdx, blockNumPerWindow, layersPerWindow, windowNum, DomainPPSize, outputBlockId,
+        getPosId(threadBlockIdx, blockNumPerWindow, layersPerWindow, windowNum, domainPPSize, outputBlockId,
             outputLayerId, inputAllLayerOffset, inputPPOffset);
         T* outputBlockPtr = outputBlocks[outputBlockId];
         T* outputLayerPtr = outputBlockPtr + outputLayerId * 2 * headNum * tokensPerBlock * dimsPerHead;
@@ -985,7 +995,7 @@ __global__ void concatKVCacheForWindowKernel(T const** __restrict__ inputCaches,
         {
             T* kOutputPtr = outputLayerPtr + headId * tokensPerBlock * dimsPerHead;
             T* vOutputPtr = kOutputPtr + headNum * tokensPerBlock * dimsPerHead;
-            int inputCacheIdx = headId / headNumDomainTP * DomainPPSize + inputPPOffset;
+            int inputCacheIdx = headId / headNumDomainTP * domainPPSize + inputPPOffset;
             int headIdInDomainTP = headId % headNumDomainTP;
             T const* inputCachePtr = inputCaches[inputCacheIdx];
             T const* kInputPtr = inputCachePtr + inputLayerEleOffset + headIdInDomainTP * tokensPerBlock * dimsPerHead;
@@ -1021,11 +1031,12 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
     }
     auto targetRankInfo = targetIRanks(destCacheState, selfCacheState, selfIdx);
     TLLM_CHECK(targetRankInfo.mIRanks.size()
-        == (static_cast<size_t>(targetRankInfo.mDomainPPSize * targetRankInfo.mDomainTPSize)));
+        == (static_cast<size_t>(
+            targetRankInfo.mDomainPPSize * targetRankInfo.mDomainTPSize * targetRankInfo.mDomainCPSize)));
     auto outputCacheNum = targetRankInfo.mIRanks.size();
     if (selfCacheState.getAttentionConfig().mAttentionType == CacheState::AttentionType::kMLA)
     {
-        outputCacheNum = targetRankInfo.mDomainPPSize;
+        outputCacheNum = targetRankInfo.mDomainPPSize * targetRankInfo.mDomainCPSize;
     }
     else
     {
@@ -1139,13 +1150,14 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
         = static_cast<uint64_t*>(PtrsDeviceBuffer->data()) + inputBlockNumSum + outputSplitBlocks.size();
 
     int const tokensPerBlock = selfModelConfig.mTokensPerBlock;
-    int selfPPRank = selfIdx / (selfParallelConfig.mTensorParallelism * selfParallelConfig.mContextParallelism);
+    int const selfPPRank = selfIdx / (selfParallelConfig.mTensorParallelism * selfParallelConfig.mContextParallelism);
     int const numLayers = selfParallelConfig.mAttentionLayerNumPerPP.at(selfPPRank);
     int const headNum = selfModelConfig.mNbKvHeadsPerLayer[0];
     int const dimsPerHead = selfModelConfig.mSizePerHead;
-    int const DomainPPSize = targetRankInfo.mDomainPPSize;
-    int const DomainTPSize = targetRankInfo.mDomainTPSize;
-    int const headNumDomainTP = headNum / (DomainTPSize / targetRankInfo.mPeerDupHeadFactor);
+    int const domainPPSize = targetRankInfo.mDomainPPSize;
+    int const domainTPSize = targetRankInfo.mDomainTPSize;
+    int const domainCPSize = targetRankInfo.mDomainCPSize;
+    int const headNumDomainTP = headNum / (domainTPSize / targetRankInfo.mPeerDupHeadFactor);
     int const kvFactor = selfAttentionConfig.mKvFactor;
     bool const isMLA = selfAttentionConfig.mAttentionType == CacheState::AttentionType::kMLA;
     constexpr int mlaSubWarpSize = 16;
@@ -1153,7 +1165,7 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
     TLLM_LOG_DEBUG(
         "splitKVCache - numLayers: %d, headNum: %d, domainPPSize: %d, domainTPSize: %d, "
         "headsPerDomainTP: %d",
-        numLayers, headNum, DomainPPSize, DomainTPSize, headNumDomainTP);
+        numLayers, headNum, domainPPSize, domainTPSize, headNumDomainTP);
 
     int const remainder = sizePerHead * sizeof(T) % 16;
     switch (remainder)
@@ -1164,20 +1176,20 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
         {
             splitKVCacheForMLAKernel<T, mlaSubWarpSize, 16><<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(
                 inputBlockPtrsDev, outputCachePtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead,
-                inputBlockNumSum, DomainPPSize, DomainTPSize, kvFactor, prefixLayerNumDevPtr);
+                inputBlockNumSum, domainPPSize, domainTPSize, domainCPSize, kvFactor, prefixLayerNumDevPtr);
         }
         else if (isWindow)
         {
             splitKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 16>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
                     blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, inputBlockLayerNumSum, tokensPerBlock,
-                    headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize, headNumDomainTP);
+                    headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize, headNumDomainTP);
         }
         else
         {
             splitKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 16>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                    tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                    tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                     headNumDomainTP, prefixLayerNumDevPtr);
         }
         break;
@@ -1188,20 +1200,20 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
         {
             splitKVCacheForMLAKernel<T, mlaSubWarpSize, 8><<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(
                 inputBlockPtrsDev, outputCachePtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead,
-                inputBlockNumSum, DomainPPSize, DomainTPSize, kvFactor, prefixLayerNumDevPtr);
+                inputBlockNumSum, domainPPSize, domainTPSize, domainCPSize, kvFactor, prefixLayerNumDevPtr);
         }
         else if (isWindow)
         {
             splitKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 8>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
                     blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, inputBlockLayerNumSum, tokensPerBlock,
-                    headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize, headNumDomainTP);
+                    headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize, headNumDomainTP);
         }
         else
         {
             splitKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 8>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                    tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                    tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                     headNumDomainTP, prefixLayerNumDevPtr);
         }
         break;
@@ -1215,22 +1227,22 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
             {
                 splitKVCacheForMLAKernel<T, mlaSubWarpSize, 4>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
-                        kvFactor, prefixLayerNumDevPtr);
+                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
+                        domainCPSize, kvFactor, prefixLayerNumDevPtr);
             }
             else if (isWindow)
             {
                 splitKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 4>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
                         blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, inputBlockLayerNumSum,
-                        tokensPerBlock, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                        tokensPerBlock, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                         headNumDomainTP);
             }
             else
             {
                 splitKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 4>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                         headNumDomainTP, prefixLayerNumDevPtr);
             }
             break;
@@ -1248,22 +1260,22 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
             {
                 splitKVCacheForMLAKernel<T, mlaSubWarpSize, 2>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
-                        kvFactor, prefixLayerNumDevPtr);
+                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
+                        domainCPSize, kvFactor, prefixLayerNumDevPtr);
             }
             else if (isWindow)
             {
                 splitKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 2>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
                         blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, inputBlockLayerNumSum,
-                        tokensPerBlock, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                        tokensPerBlock, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                         headNumDomainTP);
             }
             else
             {
                 splitKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 2>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                         headNumDomainTP, prefixLayerNumDevPtr);
             }
             break;
@@ -1277,22 +1289,22 @@ void splitKVCache(std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>
             {
                 splitKVCacheForMLAKernel<T, mlaSubWarpSize, 1>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
-                        kvFactor, prefixLayerNumDevPtr);
+                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
+                        domainCPSize, kvFactor, prefixLayerNumDevPtr);
             }
             else if (isWindow)
             {
                 splitKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 1>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
                         blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, inputBlockLayerNumSum,
-                        tokensPerBlock, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                        tokensPerBlock, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                         headNumDomainTP);
             }
             else
             {
                 splitKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 1>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputBlockPtrsDev, outputCachePtrsDev,
-                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, DomainPPSize, DomainTPSize,
+                        tokensPerBlock, numLayers, headNum, dimsPerHead, inputBlockNumSum, domainPPSize, domainTPSize,
                         headNumDomainTP, prefixLayerNumDevPtr);
             }
             break;
@@ -1347,7 +1359,6 @@ void splitKVCacheDispatch(std::map<SizeType32, std::vector<runtime::ITensor::Sha
 template <typename T>
 void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlocks,
     std::map<SizeType32, std::vector<runtime::ITensor::SharedPtr>>& outputKvCacheBlocksPerWindow,
-
     kv_cache::CacheState const& destCacheState, kv_cache::CacheState const& selfCacheState, int selfIdx,
     runtime::BufferManager const& bufferManager)
 {
@@ -1464,23 +1475,23 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
     uint64_t* prefixLayerNumDevPtr
         = static_cast<uint64_t*>(PtrsDeviceBuffer->data()) + outputBlockNumSum + inputSplitBlocks.size();
     int const tokensPerBlock = selfModelConfig.mTokensPerBlock;
-    int selfPPRank = selfIdx / (selfParallelConfig.mTensorParallelism * selfParallelConfig.mContextParallelism);
+    int const selfPPRank = selfIdx / (selfParallelConfig.mTensorParallelism * selfParallelConfig.mContextParallelism);
     int const numLayers = selfParallelConfig.mAttentionLayerNumPerPP.at(selfPPRank);
     TLLM_LOG_DEBUG(mpi::MpiComm::world().getRank(), "concatKVCache numLayers:%d", numLayers);
     int const headNum = selfModelConfig.mNbKvHeadsPerLayer[0];
     int const dimsPerHead = selfModelConfig.mSizePerHead;
-    int const DomainPPSize = targetRankInfo.mDomainPPSize;
-    int const DomainTPSize = targetRankInfo.mDomainTPSize;
+    int const domainPPSize = targetRankInfo.mDomainPPSize;
+    int const domainTPSize = targetRankInfo.mDomainTPSize;
 
     int const headNumDomainTP
-        = headNum / (DomainTPSize / targetRankInfo.mPeerDupHeadFactor); // TODO: duplicate head factor
+        = headNum / (domainTPSize / targetRankInfo.mPeerDupHeadFactor); // TODO: duplicate head factor
     int const kvFactor = selfAttentionConfig.mKvFactor;
 
     bool isMLA = selfAttentionConfig.mAttentionType == CacheState::AttentionType::kMLA;
     TLLM_LOG_DEBUG(
         "concatKVCache - numLayers: %d, headNum: %d, domainPPSize: %d, domainTPSize: %d, "
         "headsPerDomainTP: %d",
-        numLayers, headNum, DomainPPSize, DomainTPSize, headNumDomainTP);
+        numLayers, headNum, domainPPSize, domainTPSize, headNumDomainTP);
 
     int const remainder = sizePerHead * sizeof(T) % 16;
 
@@ -1493,7 +1504,7 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
         {
             concatKVCacheForMLAKernel<T, mlaSubWarpSize, 16>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev, ouptutBlockPtrsDev,
-                    tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum, DomainPPSize, DomainTPSize,
+                    tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum, domainPPSize, domainTPSize,
                     kvFactor, prefixLayerNumDevPtr);
         }
         else if (isWindow)
@@ -1501,13 +1512,13 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
             concatKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 16>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev, ouptutBlockPtrsDev,
                     blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, outputBlockLayerNumSum, tokensPerBlock,
-                    headNum, dimsPerHead, outputBlockNumSum, DomainPPSize, DomainTPSize, headNumDomainTP);
+                    headNum, dimsPerHead, outputBlockNumSum, domainPPSize, domainTPSize, headNumDomainTP);
         }
         else
         {
             concatKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 16>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev, ouptutBlockPtrsDev,
-                    tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum, DomainPPSize, DomainTPSize,
+                    tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum, domainPPSize, domainTPSize,
                     headNumDomainTP, prefixLayerNumDevPtr);
         }
         break;
@@ -1518,20 +1529,20 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
         {
             concatKVCacheForMLAKernel<T, mlaSubWarpSize, 8><<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(
                 inputSplitBlockPtrsDev, ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead,
-                outputBlockNumSum, DomainPPSize, DomainTPSize, kvFactor, prefixLayerNumDevPtr);
+                outputBlockNumSum, domainPPSize, domainTPSize, kvFactor, prefixLayerNumDevPtr);
         }
         else if (isWindow)
         {
             concatKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 8>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev, ouptutBlockPtrsDev,
                     blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum, outputBlockLayerNumSum, tokensPerBlock,
-                    headNum, dimsPerHead, outputBlockNumSum, DomainPPSize, DomainTPSize, headNumDomainTP);
+                    headNum, dimsPerHead, outputBlockNumSum, domainPPSize, domainTPSize, headNumDomainTP);
         }
         else
         {
             concatKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 8>
                 <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev, ouptutBlockPtrsDev,
-                    tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum, DomainPPSize, DomainTPSize,
+                    tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum, domainPPSize, domainTPSize,
                     headNumDomainTP, prefixLayerNumDevPtr);
         }
         break;
@@ -1546,22 +1557,22 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
                 concatKVCacheForMLAKernel<T, mlaSubWarpSize, 4>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum,
-                        DomainPPSize, DomainTPSize, kvFactor, prefixLayerNumDevPtr);
+                        domainPPSize, domainTPSize, kvFactor, prefixLayerNumDevPtr);
             }
             else if (isWindow)
             {
                 concatKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 4>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum,
-                        outputBlockLayerNumSum, tokensPerBlock, headNum, dimsPerHead, outputBlockNumSum, DomainPPSize,
-                        DomainTPSize, headNumDomainTP);
+                        outputBlockLayerNumSum, tokensPerBlock, headNum, dimsPerHead, outputBlockNumSum, domainPPSize,
+                        domainTPSize, headNumDomainTP);
             }
             else
             {
                 concatKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 4>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum,
-                        DomainPPSize, DomainTPSize, headNumDomainTP, prefixLayerNumDevPtr);
+                        domainPPSize, domainTPSize, headNumDomainTP, prefixLayerNumDevPtr);
             }
 
             break;
@@ -1579,22 +1590,22 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
                 concatKVCacheForMLAKernel<T, mlaSubWarpSize, 2>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum,
-                        DomainPPSize, DomainTPSize, kvFactor, prefixLayerNumDevPtr);
+                        domainPPSize, domainTPSize, kvFactor, prefixLayerNumDevPtr);
             }
             else if (isWindow)
             {
                 concatKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 2>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum,
-                        outputBlockLayerNumSum, tokensPerBlock, headNum, dimsPerHead, outputBlockNumSum, DomainPPSize,
-                        DomainTPSize, headNumDomainTP);
+                        outputBlockLayerNumSum, tokensPerBlock, headNum, dimsPerHead, outputBlockNumSum, domainPPSize,
+                        domainTPSize, headNumDomainTP);
             }
             else
             {
                 concatKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 2>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum,
-                        DomainPPSize, DomainTPSize, headNumDomainTP, prefixLayerNumDevPtr);
+                        domainPPSize, domainTPSize, headNumDomainTP, prefixLayerNumDevPtr);
             }
             break;
         }
@@ -1608,22 +1619,22 @@ void concatKVCache(std::vector<runtime::ITensor::SharedPtr> const& inputSplitBlo
                 concatKVCacheForMLAKernel<T, mlaSubWarpSize, 1>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum,
-                        DomainPPSize, DomainTPSize, kvFactor, prefixLayerNumDevPtr);
+                        domainPPSize, domainTPSize, kvFactor, prefixLayerNumDevPtr);
             }
             else if (isWindow)
             {
                 concatKVCacheForWindowKernel<T, subWarpSize, subWarpNumInGroup, 1>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, blockNumPerWindowDevPtr, layersPerWindowDevPtr, windowNum,
-                        outputBlockLayerNumSum, tokensPerBlock, headNum, dimsPerHead, outputBlockNumSum, DomainPPSize,
-                        DomainTPSize, headNumDomainTP);
+                        outputBlockLayerNumSum, tokensPerBlock, headNum, dimsPerHead, outputBlockNumSum, domainPPSize,
+                        domainTPSize, headNumDomainTP);
             }
             else
             {
                 concatKVCacheKernel<T, subWarpSize, subWarpNumInGroup, 1>
                     <<<gridDim, blockDimx, 0, bufferManager.getStream().get()>>>(inputSplitBlockPtrsDev,
                         ouptutBlockPtrsDev, tokensPerBlock, numLayers, headNum, dimsPerHead, outputBlockNumSum,
-                        DomainPPSize, DomainTPSize, headNumDomainTP, prefixLayerNumDevPtr);
+                        domainPPSize, domainTPSize, headNumDomainTP, prefixLayerNumDevPtr);
             }
             break;
         }
diff --git a/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.h b/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.h
index a54a0389e94..e932e3ccf38 100644
--- a/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.h
+++ b/cpp/tensorrt_llm/executor/cache_transmission/cacheSplitConcat.h
@@ -45,12 +45,10 @@ struct TargetRanksInfo
     // from each target PP rank in domain PP.
     std::vector<int> mPeerAttentionLayerNumInDomainPP;
 
-    int getPeerPPDomainLayerNum(int targetRankIdx)
+    int getPeerPPDomainLayerNum(int targetRankIdx) const
     {
-        //[TP,PP]
-
         int ppDomainRankIdx = targetRankIdx % mDomainPPSize;
-        return mPeerAttentionLayerNumInDomainPP[ppDomainRankIdx];
+        return mPeerAttentionLayerNumInDomainPP.at(ppDomainRankIdx);
     }
 };
 
diff --git a/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp b/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp
index 2d28e6d4e5c..898b7ddbd40 100644
--- a/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp
+++ b/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp
@@ -430,8 +430,8 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
         int worldSize = tensorrt_llm::mpi::MpiComm::world().getSize();
         int worldRank = tensorrt_llm::mpi::MpiComm::world().getRank();
         tensorrt_llm::mpi::MpiComm::world().barrier();
-        int contextRanks = contextTp * contextPp;
-        int genRanks = genTp * genPp;
+        int contextRanks = contextTp * contextPp * contextCp;
+        int genRanks = genTp * genPp * genCp;
         int nprocs = (contextRanks + genRanks);
 
         mIsContext = false;
@@ -446,8 +446,9 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
         {
             return;
         }
-        TLLM_LOG_INFO("Run cacheTransceiverTest for ContextTp: %d, ContextPp: %d, GenTp: %d, GenPp:%d", contextTp,
-            contextPp, genTp, genPp);
+        TLLM_LOG_INFO(
+            "Run cacheTransceiverTest for ContextTp: %d, ContextPp: %d, ContextCp: %d, GenTp: %d, GenPp:%d, GenCp:%d",
+            contextTp, contextPp, contextCp, genTp, genPp, genCp);
         mComm = std::addressof(mParticipatingComm);
 
         mWorldSize = mComm->getSize();
@@ -457,7 +458,7 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
             mIsContext = mRank < contextRanks;
             mIsGeneration = (mRank >= contextRanks && mRank < (contextRanks + genRanks));
             mRankInInstance = mIsContext ? mRank : (mRank - contextRanks);
-            mSizeInInstance = mIsContext ? (contextTp * contextPp) : (genTp * genPp);
+            mSizeInInstance = mIsContext ? (contextTp * contextPp * contextCp) : (genTp * genPp * genCp);
             int color = 0;
             if (mIsGeneration)
             {
@@ -483,7 +484,8 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
             }
 
             mTpRank = mRankInInstance % mTpSize;
-            mPpRank = mRankInInstance / mTpSize;
+            mPpRank = mRankInInstance / (mTpSize * mCpSize);
+            mCpRank = (mRankInInstance % (mTpSize * mCpSize)) / mTpSize;
             mContextRankSize = contextRanks;
             mGenRankSize = genRanks;
             mContextTpSize = contextTp;
@@ -840,6 +842,19 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
         return mRequester->receiveAsync(*llmRequest);
     }
 
+    // Called only by generationVerifyKVCache. Currently, generation ranks might over-allocate blocks when CP is
+    // enabled.
+    bool isBlockOverallocated(int blockIdx, int numTotalBlocks)
+    {
+        bool const generationHasCP = mCpSize > 1;
+        if (!generationHasCP)
+        {
+            return false;
+        }
+        int const numValidBlocks = getBlockNumAccountingForCP(mCpRank, mCpSize, numTotalBlocks, /*strict=*/true);
+        return blockIdx >= numValidBlocks;
+    }
+
     void generationVerifyKVCache(std::shared_ptr<LlmRequest> const& llmRequest)
     {
         auto constexpr beamIdx{0};
@@ -849,12 +864,21 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
         TLLM_CUDA_CHECK(cudaDeviceSynchronize());
 
         auto blockRange = BlockRange::fromAllBlockIds(*mManager, llmRequest->mRequestId);
+        int const numTotalBlocks = blockRange.getBlockIds().size();
         auto const numPools = mManager->getBlockManager().getNumPools();
         for (int poolIdx = 0; poolIdx < numPools; poolIdx++)
         {
             blockRange.updatePoolIdx(poolIdx);
             for (auto& block : blockRange)
             {
+                if (isBlockOverallocated(blockIdx, numTotalBlocks))
+                {
+                    TLLM_LOG_INFO(
+                        "[generationVerifyKVCache] Skipping over-allocated block for request id %d (rank %d, blockIdx "
+                        "%d, numTotalBlocks %d)",
+                        llmRequest->mRequestId, mRank, blockIdx, numTotalBlocks);
+                    break;
+                }
                 verifyBlockData(block, blockIdx, llmRequest->getPromptLen(), poolIdx);
                 blockIdx++;
             }
@@ -965,7 +989,7 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
         }
         int kvFactor = mCacheState->getAttentionConfig().mKvFactor;
         int tokensPerBlock = mCacheState->getModelConfig().mTokensPerBlock;
-        int startTokenId = blockId * tokensPerBlock;
+        int startTokenId = (blockId * mCpSize + mCpRank) * tokensPerBlock;
         int sizePerHead = mCacheState->getModelConfig().mSizePerHead;
 
         bufferManager.copy(blockData, *hostTensor);
@@ -1046,8 +1070,8 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam<AsymmetricTestPara
     tensorrt_llm::mpi::MpiComm const* mComm;
     tensorrt_llm::mpi::MpiComm mParticipatingComm{nullptr, false};
     SizeType32 mWorldSize{0}, mRank{0}, mRankInInstance{0};
-    SizeType32 mSizeInInstance{0}, mTpRank{0}, mPpRank{0}, mTpSize{0}, mPpSize{0}, mCpSize{0}, mContextRankSize{0},
-        mGenRankSize{0}, mContextTpSize{0}, mContextPpSize{0}, mContextCpSize{0};
+    SizeType32 mSizeInInstance{0}, mTpRank{0}, mPpRank{0}, mCpRank{0}, mTpSize{0}, mPpSize{0}, mCpSize{0},
+        mContextRankSize{0}, mGenRankSize{0}, mContextTpSize{0}, mContextPpSize{0}, mContextCpSize{0};
     LlmRequest::RequestIdType mRequestId{0};
     bool mContextDP{false};
     bool mGenerationDP{false};
@@ -1099,6 +1123,11 @@ TEST_P(AsymmetricalCacheTest, TestCase)
 
     bool isWindow = std::get<15>(param);
 
+    if (genCp > 1 && tensorrt_llm::common::getEnvUseNixlKvCache())
+    {
+        GTEST_SKIP() << "Temporarily skipping cache transceiver tests with NIXL backend for CP.";
+    }
+
     setUpCommunicator(contextTp, contextPp, contextCp, genTp, genPp, genCp, isMLA, contextDP, generationDP);
 
     if (mIsContext || mIsGeneration)
@@ -1192,6 +1221,10 @@ TEST_P(AsymmetricalCacheTestWithDP, TestCase)
     bool generationDP = std::get<14>(param);
     bool isWindow = std::get<15>(param);
 
+    if (genCp > 1 && tensorrt_llm::common::getEnvUseNixlKvCache())
+    {
+        GTEST_SKIP() << "Temporarily skipping cache transceiver tests with NIXL backend for CP.";
+    }
     setUpCommunicator(contextTp, contextPp, contextCp, genTp, genPp, genCp, isMLA, contextDP, generationDP);
 
     if (mIsContext || mIsGeneration)
@@ -1340,6 +1373,44 @@ INSTANTIATE_TEST_CASE_P(AsymmetricCaseTest2ForMLAEvenLayer, AsymmetricalCacheTes
         testing::Values(nvinfer1::DataType::kFLOAT, nvinfer1::DataType::kINT8), testing::Values(1),
         testing::Values(true), testing::Values(false), testing::Values(false, true), testing::Values(false)));
 
+// Tests cases where there's non-trivial TP and PP on context side but only CP on gen side.
+INSTANTIATE_TEST_CASE_P(AsymmetricCaseTest0WithCPForMLA, AsymmetricalCacheTest,
+    testing::Combine(/*contextTp*/ testing::Values(1, 2),
+        /*contextPp*/ testing::Values(1, 2),
+        /*contextCp*/ testing::Values(1),
+        /*genTp*/ testing::Values(1),
+        /*genPp*/ testing::Values(1),
+        /*genCp*/ testing::Values(2, 4),
+        /*numLayers*/ testing::Values(4),
+        /*numHeads*/ testing::Values(1),
+        /*sizePerHead*/ testing::Values(4),
+        /*tokensPerBlock*/ testing::Values(16),
+        /*dataType*/ testing::Values(nvinfer1::DataType::kFLOAT, nvinfer1::DataType::kINT8),
+        /*kvFactor*/ testing::Values(2),
+        /*isMLA*/ testing::Values(true),
+        /*contextDP*/ testing::Values(false),
+        /*generationDP*/ testing::Values(false),
+        /*isWindow*/ testing::Values(false)));
+
+// Tests cases where there's non-trivial TP and PP on context side while non-trivial CP & PP on gen side.
+INSTANTIATE_TEST_CASE_P(AsymmetricCaseTest1WithCPForMLA, AsymmetricalCacheTest,
+    testing::Combine(/*contextTp*/ testing::Values(1, 2),
+        /*contextPp*/ testing::Values(1, 2),
+        /*contextCp*/ testing::Values(1),
+        /*genTp*/ testing::Values(1),
+        /*genPp*/ testing::Values(2),
+        /*genCp*/ testing::Values(2),
+        /*numLayers*/ testing::Values(4),
+        /*numHeads*/ testing::Values(1),
+        /*sizePerHead*/ testing::Values(4),
+        /*tokensPerBlock*/ testing::Values(16),
+        /*dataType*/ testing::Values(nvinfer1::DataType::kFLOAT, nvinfer1::DataType::kINT8),
+        /*kvFactor*/ testing::Values(2),
+        /*isMLA*/ testing::Values(true),
+        /*contextDP*/ testing::Values(false),
+        /*generationDP*/ testing::Values(false),
+        /*isWindow*/ testing::Values(false)));
+
 INSTANTIATE_TEST_CASE_P(AsymmetricCaseTestWithDPForMLA1, AsymmetricalCacheTestWithDP,
     testing::Combine(testing::Values(1, 2), testing::Values(1, 2), testing::Values(1), testing::Values(1, 2),
         testing::Values(1, 2), testing::Values(1), testing::Values(4), testing::Values(1), testing::Values(4),

From 4509d977807763b7f3114d0cd37c5da7503f4008 Mon Sep 17 00:00:00 2001
From: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Date: Sat, 20 Sep 2025 21:24:22 +0800
Subject: [PATCH 40/76] [TRTLLM-8188][chore] refactor GenerationExecutorWorker
 with WorkerBase for better code reusing (#7840)

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
---
 tensorrt_llm/executor/base_worker.py        | 822 ++++++++++++++++++++
 tensorrt_llm/executor/worker.py             | 782 +------------------
 tests/unittest/executor/test_base_worker.py | 193 +++++
 3 files changed, 1041 insertions(+), 756 deletions(-)
 create mode 100644 tensorrt_llm/executor/base_worker.py
 create mode 100644 tests/unittest/executor/test_base_worker.py

diff --git a/tensorrt_llm/executor/base_worker.py b/tensorrt_llm/executor/base_worker.py
new file mode 100644
index 00000000000..6e71fb2dc2f
--- /dev/null
+++ b/tensorrt_llm/executor/base_worker.py
@@ -0,0 +1,822 @@
+import copy
+import datetime
+import enum
+import json
+import weakref
+from pathlib import Path
+from queue import Queue
+from typing import Dict, List, Optional, Tuple, Union
+
+import torch
+
+from tensorrt_llm.logger import logger
+
+from .._utils import (global_mpi_rank, global_mpi_size, mpi_comm, mpi_rank,
+                      nvtx_range_debug)
+from ..bindings import executor as tllm
+from ..builder import ConfigEncoder, Engine, EngineConfig
+from ..llmapi.llm_args import BaseLlmArgs, KvCacheConnectorConfig, PybindMirror
+from ..llmapi.tokenizer import TokenizerBase
+from ..llmapi.tracer import global_tracer
+from ..llmapi.utils import _SyncQueue, print_colored_debug
+from ..lora_helper import LoraConfig
+from ..lora_manager import LoraManager
+from ..metrics import RequestEventTiming
+from ..prompt_adapter_manager import PromptAdapterManager
+from ..runtime import ModelConfig
+from ..runtime.model_runner import _engine_config_to_model_config
+from ..sampling_params import BatchedLogitsProcessor, SamplingParams
+from .executor import GenerationExecutor, IterationResultQueue
+from .ipc import FusedIpcQueue, IpcQueue
+from .postproc_worker import (PostprocParams, PostprocWorker,
+                              PostprocWorkerConfig)
+from .request import GenerationRequest, LoRARequest, PromptAdapterRequest
+from .result import (GenerationResult, LogProbsResult, ResponseWrapper,
+                     compute_logprobs)
+from .utils import (ErrorResponse, IntraProcessQueue, RequestError,
+                    is_llm_response)
+
+__all__ = [
+    "BaseWorker",
+]
+
+
+class BaseWorker(GenerationExecutor):
+
+    class WorkerExit(GeneratorExit):
+        pass
+
+    def __init__(
+        self,
+        engine: Union[Path, Engine],
+        executor_config: Optional[tllm.ExecutorConfig] = None,
+        batched_logits_processor: Optional[BatchedLogitsProcessor] = None,
+        postproc_worker_config: Optional[PostprocWorkerConfig] = None,
+        is_llm_executor: Optional[bool] = None,
+        lora_config: Optional[LoraConfig] = None,
+        kv_connector_config: Optional[KvCacheConnectorConfig] = None,
+        hf_model_dir: Optional[Path] = None,
+        tokenizer: Optional[TokenizerBase] = None,
+        llm_args: Optional[BaseLlmArgs] = None,
+    ) -> None:
+        postproc_config = postproc_worker_config or PostprocWorkerConfig()
+        super().__init__(
+            num_postprocess_workers=postproc_config.num_postprocess_workers,
+            postprocess_tokenizer_dir=postproc_config.postprocess_tokenizer_dir,
+            is_llm_executor=is_llm_executor,
+        )
+
+        # inputs
+        self._engine = engine
+        self._executor_config = executor_config
+        self._batched_logits_processor = batched_logits_processor
+        self._postproc_worker_config = postproc_worker_config
+        self._is_llm_executor = is_llm_executor
+        self._lora_config = lora_config
+        self._kv_connector_config = kv_connector_config
+        self._hf_model_dir = hf_model_dir
+        self._tokenizer = tokenizer
+        self.llm_args = llm_args
+
+        self.engine = None
+        self.result_queue: Optional[IpcQueue] = None
+        self.postproc_queues: Optional[List[IpcQueue]] = None
+        self.rank = mpi_rank()
+        self.global_rank = global_mpi_rank()
+        # mapping: client_id -> GenerationResult
+        self._results: Dict[int, GenerationResult] = {}
+        # mapping: client_id from Proxy -> request_id returned from runtime backend
+        self._client_id_to_request_id: Dict[int, int] = {}
+        self._await_response_helper = AwaitResponseHelper(weakref.proxy(self))
+        self._is_pytorch_backend = llm_args is not None and llm_args.backend in [
+            "pytorch", "_autodeploy"
+        ]
+
+        if not self._is_pytorch_backend and kv_connector_config is not None:
+            raise ValueError(
+                "KV connector config is only supported for PyTorch backend")
+
+        if global_mpi_size() > 1:
+            logger.set_rank(self.global_rank)
+
+    def setup_engine(self):
+        """
+        Setup the engine for the worker.
+        """
+
+        if isinstance(self._engine, list):
+            self._engine = self._engine[self.rank]
+
+        def _get_comm_ranks_device_id():
+            device_id = self.global_rank % torch.cuda.device_count()
+            torch.cuda.set_device(device_id)
+            # Make sure C++ executor would use same devices/ranks as py_executor
+            global_rank = global_mpi_rank()
+            comm_ranks = mpi_comm().allgather(global_rank)
+            device_ids = mpi_comm().allgather(device_id)
+            return comm_ranks, device_ids
+
+        def _create_py_executor():
+            args = {}
+            assert hasattr(
+                self.llm_args, "backend"
+            ), "llm_args should be with backend in _create_py_executor"
+            _ = _get_comm_ranks_device_id()
+            if self.llm_args.backend == "pytorch":
+                from tensorrt_llm._torch.pyexecutor.py_executor_creator import \
+                    create_py_executor
+                create_executor = create_py_executor
+                args["llm_args"] = self.llm_args
+                args["checkpoint_dir"] = self._hf_model_dir
+                args["tokenizer"] = self._tokenizer
+                args["lora_config"] = self._lora_config
+                args["kv_connector_config"] = self._kv_connector_config
+            elif self.llm_args.backend == "_autodeploy":
+                from tensorrt_llm._torch.auto_deploy.llm_args import \
+                    LlmArgs as ADLlmArgs
+                from tensorrt_llm._torch.auto_deploy.shim.ad_executor import \
+                    create_autodeploy_executor
+                create_executor = create_autodeploy_executor
+                assert isinstance(self.llm_args, ADLlmArgs)
+                args["ad_config"] = self.llm_args.get_pytorch_backend_config()
+            else:
+                raise ValueError(
+                    f"Unsupported backend config: {self.llm_args.backend}")
+
+            # Define additional attributes that can be used later, such as in _deduce_max_tokens
+            self.mapping = self.llm_args.parallel_config.to_mapping()
+            self.checkpoint_loader = None
+            if self.llm_args.backend == "pytorch":
+                from tensorrt_llm._torch.pyexecutor.config import \
+                    _construct_checkpoint_loader
+                self.checkpoint_loader = _construct_checkpoint_loader(
+                    self.llm_args.backend, self.llm_args.checkpoint_loader,
+                    self.llm_args.checkpoint_format)
+
+            _executor = create_executor(**args)
+            self.max_seq_len = self.llm_args.max_seq_len
+            if _executor.max_seq_len is not None:
+                # max_seq_len might be updated by model engine as in create_py_executor
+                self.max_seq_len = _executor.max_seq_len
+            return _executor
+
+        def _create_engine(executor_config):
+            engine = self._engine
+            if executor_config is None:
+                executor_config = tllm.ExecutorConfig(1)
+            executor_config.logits_post_processor_config = tllm.LogitsPostProcessorConfig(
+                processor_batched=self._batched_logits_processor,
+                replicate=False)
+            comm_ranks, device_ids = _get_comm_ranks_device_id()
+            executor_config.parallel_config = tllm.ParallelConfig(
+                participant_ids=comm_ranks, device_ids=device_ids)
+
+            if isinstance(engine, Engine):
+                return tllm.Executor(engine.engine,
+                                     json.dumps(engine.config.to_dict(),
+                                                cls=ConfigEncoder),
+                                     tllm.ModelType.DECODER_ONLY,
+                                     executor_config=executor_config,
+                                     managed_weights=engine.managed_weights)
+
+            assert not hasattr(executor_config, "backend")
+            return tllm.Executor(engine, tllm.ModelType.DECODER_ONLY,
+                                 executor_config)
+
+        self.engine = _create_py_executor(
+        ) if self.llm_args is not None else _create_engine(
+            self._executor_config)
+
+        self._lora_manager: Optional[LoraManager] = None
+        self._prompt_adapter_manager: Optional[PromptAdapterManager] = None
+        self._runtime_model_config: Optional[ModelConfig] = None
+        if self.rank == 0 and isinstance(self.engine, tllm.Executor):
+            if isinstance(self.engine, Engine):
+                engine_config = self.engine.config
+            else:
+                engine_config = EngineConfig.from_json_file(
+                    f"{self._engine}/config.json")
+            self._runtime_model_config = _engine_config_to_model_config(
+                engine_config)
+            if engine_config.build_config.plugin_config.lora_plugin:
+                # TODO(azuker): Passing peft cache manager to LoraManager is used for LoRA optimization
+                # (see LoraManager constructor docstring). Getting the peft cache manager from this
+                # point in the TRT flow is currently not supported (it's at the CPP
+                # Executor->ExecutorImpl->TrtGptModel->mPeftCacheManager) therefore for now this LoRA
+                # optimization is not available in TRT-python flow.
+                self._lora_manager = LoraManager(cpp_peft_cache_manager=None)
+            if engine_config.build_config.max_prompt_embedding_table_size > 0:
+                self._prompt_adapter_manager = PromptAdapterManager()
+
+        if self.llm_args and getattr(
+                self.llm_args, "backend",
+                "") == "pytorch" and self._lora_config is not None:
+            from tensorrt_llm._torch.pyexecutor.resource_manager import \
+                ResourceManagerType
+            peft_cache_manager = self.engine.resource_manager.resource_managers.get(
+                ResourceManagerType.PEFT_CACHE_MANAGER)
+            self._lora_manager = LoraManager(
+                cpp_peft_cache_manager=peft_cache_manager.impl)
+            lora_model_config = self.engine.model_engine.lora_model_config
+            assert lora_model_config is not None
+            self._lora_model_config = lora_model_config
+
+    def await_responses(self, timeout: Optional[float] = None) -> list:
+        return self.engine.await_responses(timeout=datetime.timedelta(
+            seconds=timeout) if timeout is not None else None)
+
+    def fetch_stats(self) -> list:
+        if isinstance(self.engine, tllm.Executor):
+            iter_stats = self.engine.get_latest_iteration_stats()
+            #TODO: Support req stats with TRT engine
+            #      This would require ensuring iter and req stats have same size
+            return [(iter_stat, None) for iter_stat in iter_stats]
+        else:
+            return self.engine.get_latest_iteration_stats()
+
+    def set_result_queue(self, queue):
+        """In multi-gpu mode, result_queue will be set here to communicate between the proxy and the worker 0 process."""
+        assert self.postproc_queues is None
+        self.result_queue = queue
+
+    def set_postproc_queues(self, queues: List["IpcQueue"]):
+        """ Set the IPC queues for feeding post-processing processes. """
+        assert self.result_queue is None
+        self.postproc_queues = queues
+
+    def _set_iteration_result_queue(self, it_result_queue: IterationResultQueue,
+                                    queue: Union[Queue, FusedIpcQueue,
+                                                 IntraProcessQueue]):
+        assert not it_result_queue.is_initialized, "Iteration result queue should not already be initialized."
+        it_result_queue.is_initialized = True
+        it_result_queue.queue = queue
+        it_result_queue.aqueue = None
+
+    def return_queue(self, client_id: int):
+        """ If a centralized result queue is registered (used for communication with the proxy)
+            send the message there.
+            Otherwise, push the result directly in the GenerationResult queue.
+        """
+        if self.result_queue is not None:
+            return self.result_queue
+        return self._results[client_id].queue
+
+    def abort_request(self, client_id: int) -> None:
+        # NOTE: the request_id is the request_id generated by cpp runtime, not the client_id
+        if self.engine.can_enqueue_requests():
+            request_id = self._client_id_to_request_id.get(client_id, None)
+            if request_id is None:
+                logger.warning(
+                    f"Request of client_id {client_id} is finished, cannot abort it."
+                )
+                return
+            self.engine.cancel_request(request_id)
+
+    def _engine_response_callback(self, response: tllm.Response):
+        return response
+
+    def _has_background_error(self) -> bool:
+        return not self._error_queue.empty()
+
+    def _create_error_response(self, response: tllm.Response) -> ErrorResponse:
+        bck_error = self._error_queue.get_nowait()
+        assert isinstance(bck_error, Exception)
+        return ErrorResponse(response.client_id, str(bck_error),
+                             response.request_id)
+
+    def start(self):
+        raise NotImplementedError(
+            "start method is not implemented in BaseWorker")
+
+    def _load_lora_adapter(self, lora_request: LoRARequest) -> bool:
+        """Returns True if the adapter was loaded by this call, False if it was already loaded"""
+        adapter_id = str(lora_request.adapter_id)
+        newly_loaded_uids = self._lora_manager.load_from_ckpt(
+            [lora_request.path],
+            model_config=self._runtime_model_config if
+            self._runtime_model_config is not None else self._lora_model_config,
+            runtime_mapping=None,
+            uids=[adapter_id],
+            ckpt_source=lora_request.ckpt_source)
+        return adapter_id in newly_loaded_uids
+
+    def _load_prompt_adapter(self,
+                             prompt_adapter_request: PromptAdapterRequest):
+        self._prompt_adapter_manager.load_from_ckpt(
+            [prompt_adapter_request.local_path],
+            model_config=self._runtime_model_config,
+            uids=[str(prompt_adapter_request.adapter_id)])
+
+    def _enqueue_request(self, request: GenerationRequest) -> int:
+        assert request.id is not None
+        py_lora_path = None
+        if self._lora_manager is not None and request.lora_request is not None:
+            adapter_in_cache = self._lora_manager.is_adapter_in_cpu_cache(
+                request.lora_request.adapter_id)
+            self._load_lora_adapter(request.lora_request)
+            uid = str(request.lora_request.adapter_id)
+            lora_config = tllm.LoraConfig(
+                task_id=request.lora_request.adapter_id,
+                weights=self._lora_manager.cpp_lora_weights[uid]
+                if not adapter_in_cache else None,
+                config=self._lora_manager.cpp_lora_config[uid])
+            py_lora_path = request.lora_request.lora_path
+        else:
+            lora_config = None
+
+        prompt_token_ids = copy.deepcopy(request.prompt_token_ids)
+        prompt_tuning_config = None
+        if request.prompt_adapter_request is not None:
+            self._load_prompt_adapter(request.prompt_adapter_request)
+            uid = str(request.prompt_adapter_request.adapter_id)
+            prompt_tuning_config = tllm.PromptTuningConfig(
+                self._prompt_adapter_manager.uid_to_weights[uid])
+            vocab_size = self._runtime_model_config.vocab_size
+            pa_length = prompt_tuning_config.embedding_table.size(0)
+            prompt_token_ids = list(range(
+                vocab_size, vocab_size + pa_length)) + prompt_token_ids
+
+        # MULTIMODAL
+        # NOTE: Since, we only support PyTorch backend for multimodal, we will send multimodal_data through the 'py_multimodal_data' field
+        # except `multimodal_input` as it needs to go through the C++ runtime.
+        multimodal_input = None
+        if request.multimodal_params is not None and request.multimodal_params.has_content(
+        ):
+            if request.multimodal_params.multimodal_input is not None:
+                multimodal_input = tllm.MultimodalInput(
+                    multimodal_hashes=request.multimodal_params.
+                    multimodal_input.multimodal_hashes,
+                    multimodal_positions=request.multimodal_params.
+                    multimodal_input.multimodal_positions,
+                    multimodal_lengths=request.multimodal_params.
+                    multimodal_input.multimodal_lengths)
+            # NOTE: Setting to None here to avoid sending multimodal_input again through the 'py_multimodal_data' field
+            request.multimodal_params.multimodal_input = None
+
+        context_phase_params = None
+        request_type = tllm.RequestType.REQUEST_TYPE_CONTEXT_AND_GENERATION
+        if request.disaggregated_params is not None:
+            assert (
+                not self._is_pytorch_backend
+                or self.engine.kv_cache_transceiver is not None
+            ), "kv_cache_transceiver is disabled, please set 'cache_transceiver_config: backend:<backend_type>` in config file for disaggregated serving"
+            request_type = request.disaggregated_params.get_request_type()
+            if request_type == tllm.RequestType.REQUEST_TYPE_GENERATION_ONLY:
+                context_phase_params = request.disaggregated_params.get_context_phase_params(
+                )
+
+        if self._is_pytorch_backend:
+            if not self.llm_args.disable_overlap_scheduler:
+                is_disaggregated = self.engine.kv_cache_transceiver is not None
+                if is_disaggregated and (
+                        request_type
+                        == tllm.RequestType.REQUEST_TYPE_CONTEXT_ONLY):
+                    raise ValueError(
+                        "Context only requests are not supported in pytorch backend when overlap is enabled."
+                    )
+
+        assert request.id is not None
+
+        def _deduce_max_tokens(request: GenerationRequest,
+                               executor_config: tllm.ExecutorConfig,
+                               llm_args: Optional[BaseLlmArgs] = None) -> int:
+            # deduce max_tokens when it's not set by user
+            max_tokens = request.sampling_params.max_tokens
+            query_token_len = len(
+                request.query_token_ids) if request.query_token_ids else 0
+
+            cp_size = 1
+            max_seq_len = None
+            if llm_args is not None:
+                # deduce max_tokens by llm args
+                assert executor_config is None, "An empty executor_config in _deduce_max_tokens is expected when LLM arguments are defined."
+                if hasattr(self,
+                           "mapping") and self.mapping.cp_size is not None:
+                    cp_size = self.mapping.cp_size
+                max_seq_len = getattr(self, "max_seq_len", None)
+            else:
+                # deduce max_tokens by executor config
+                if hasattr(executor_config, "mapping"
+                           ) and executor_config.mapping.cp_size is not None:
+                    cp_size = executor_config.mapping.cp_size
+                max_seq_len = getattr(executor_config, "max_seq_len", None)
+            if max_seq_len is None:
+                logger.warning("`default_max_tokens` cannot be deduced")
+                if max_tokens is None:
+                    raise ValueError(
+                        "`max_tokens` must be set when `default_max_tokens` cannot be deduced"
+                    )
+                else:
+                    # use max_tokens if can't deduce default_max_tokens
+                    return max_tokens
+            if executor_config is not None:
+                assert (
+                    len(prompt_token_ids) <= executor_config.max_seq_len
+                ), f"`prompt_token_ids` length ({len(prompt_token_ids)}) is greater than `max_seq_len` ({executor_config.max_seq_len})"
+            splited_prompt_len = int(len(prompt_token_ids) / cp_size)
+            default_max_tokens = max_seq_len - splited_prompt_len - query_token_len
+            if default_max_tokens <= 0:
+                logger.warning(
+                    f"`default_max_tokens` ({default_max_tokens}) should be greater than 0, "
+                    f"`default_max_tokens` ({default_max_tokens}) = max_seq_len ({max_seq_len})"
+                    f" - `splited_prompt_len` ({splited_prompt_len}) - `query_token_len` ({query_token_len})"
+                )
+                if max_tokens is None:
+                    raise ValueError(
+                        "`max_tokens` must be set when `default_max_tokens` is illegal"
+                    )
+            # default_max_tokens is the biggest available value
+            if max_tokens is None:
+                return default_max_tokens
+            elif max_tokens > default_max_tokens:
+                logger.warning(
+                    f"User-specified `max_tokens` ({max_tokens}) is greater than deduced "
+                    f"`default_max_tokens` ({default_max_tokens}), using default_max_tokens instead."
+                )
+                return default_max_tokens
+            return max_tokens
+
+        try:
+            executor_request = tllm.Request(
+                client_id=request.id,
+                input_token_ids=prompt_token_ids,
+                max_tokens=_deduce_max_tokens(
+                    request,
+                    self._executor_config if not self.llm_args else None,
+                    self.llm_args),
+                streaming=request.streaming,
+                sampling_config=request.sampling_params._get_sampling_config(),
+                end_id=-1 if request.sampling_params.ignore_eos else
+                request.sampling_params.end_id,
+                pad_id=request.sampling_params.pad_id,
+                output_config=request.sampling_params._get_output_config(
+                    is_pytorch_backend=self._is_pytorch_backend),
+                # Beam search enforces return_all_generated_tokens=True regardless of the passed value
+                return_all_generated_tokens=False,
+                # convert python config into pybind config
+                lookahead_config=PybindMirror.maybe_to_pybind(
+                    request.sampling_params.lookahead_config),
+                guided_decoding_params=request.sampling_params.
+                _get_guided_decoding_params(),
+                bad_words=request.sampling_params._get_bad_words(),
+                stop_words=request.sampling_params._get_stop_words(),
+                embedding_bias=request.sampling_params.embedding_bias,
+                lora_config=lora_config,
+                prompt_tuning_config=prompt_tuning_config,
+                multimodal_input=multimodal_input,
+                # NOTE: `multimodal_embedding` and `mrope_config` will be in MultimodalParams.multimodal_data. And this will be handled below by `py_multimodal_data`.
+                multimodal_embedding=None,
+                mrope_config=None,
+                logits_post_processor_name=(
+                    tllm.Request.BATCHED_POST_PROCESSOR_NAME
+                    if request.sampling_params.apply_batched_logits_processor
+                    else None),
+                logits_post_processor=None if self._is_pytorch_backend else
+                request.sampling_params.logits_processor,
+                kv_cache_retention_config=request.kv_cache_retention_config,
+                context_phase_params=context_phase_params,
+                type=request_type,
+                cache_salt_id=request.cache_salt_id)
+            executor_request.py_lora_path = py_lora_path
+
+            if self._is_pytorch_backend and request.multimodal_params is not None:
+                if request.multimodal_params.multimodal_data is not None:
+                    # NOTE: Deserialize SharedTensor handle to actual tensor
+                    request.multimodal_params.to_tensor("multimodal_data")
+                    executor_request.py_multimodal_data = request.multimodal_params.multimodal_data
+
+            if self._is_pytorch_backend and request.sampling_params.logits_processor:
+                # For PyTorch backend, we attach logits processors as a dynamic Python attribute
+                # instead of using the C++ binding, since the latter will cause PyCapsule pickling issues.
+                lp = request.sampling_params.logits_processor
+                executor_request.py_logits_post_processors = lp if isinstance(
+                    lp, list) else [lp]
+
+            executor_request.py_scheduling_params = None
+            if self._is_pytorch_backend and request.scheduling_params is not None:
+                executor_request.py_scheduling_params = request.scheduling_params
+
+            if request.arrival_time is not None:
+                executor_request.py_arrival_time = request.arrival_time
+
+            if request.query_token_ids is not None:
+                # pytorch star attention workflow
+                # a workaround to avoid public interface update
+                req_id = self.engine.enqueue_request(executor_request,
+                                                     request.query_token_ids)
+            else:
+                req_id = self.engine.enqueue_request(executor_request)
+            return req_id
+        except Exception as e:
+            raise RequestError(str(e)) from e
+
+    def submit(self, request: GenerationRequest) -> GenerationResult:
+        """ Low-level API to the executor. Return a "future" GenerationResult which can be waited. """
+        self.start()
+
+        if self.rank != 0:
+            raise RuntimeError(
+                "Only rank 0 can submit requests.\n"
+                "To fix this, ensure that the llm.generate(...) method is "
+                "guarded with the `if __name__ == '__main__':` block.")
+
+        client_id = request.id if request.id is not None else self._get_next_client_id(
+        )
+        if request.id is None:
+            request.set_id(client_id)
+
+        logprob_params = self._get_logprob_params(request)
+
+        result = GenerationResult(
+            request,
+            background_error_handler=self._handle_background_error,
+            executor=self,
+            disaggregated_params=request.disaggregated_params,
+            logprob_params=logprob_params)
+
+        self._results[client_id] = result
+
+        request_id = self._enqueue_request(request)
+        # request_id returned from backend is necessary for the abort_request method.
+        self._client_id_to_request_id[client_id] = request_id
+
+        self._handle_background_error()
+
+        return result
+
+    def _pop_result(self, client_id: int):
+        self._results.pop(client_id, None)
+        self._client_id_to_request_id.pop(client_id, None)
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback) -> bool:
+        self.shutdown()
+        return exc_type is None or exc_type == BaseWorker.WorkerExit
+
+    def __del__(self):
+        self.shutdown()
+
+
+class AwaitResponseHelper:
+    ''' Multiple-implementations for await_response for performance. '''
+
+    class HandlerKind(enum.Enum):
+        unknown = 0
+        single_process_worker = 1
+        ipc_batched = 2
+
+    def __init__(self, worker: "BaseWorker"):
+        # TODO: make worker weakref
+        self.worker = worker
+        self.handler_kind: AwaitResponseHelper.HandlerKind = AwaitResponseHelper.HandlerKind.unknown
+        self.enable_postprocprocess_parallel = self.worker.enable_postprocess_parallel
+        # The error responses when submit request failed will be put here
+        self.temp_error_responses = Queue()
+
+    def responses_handler(self, responses: List[tllm.Response]):
+        HandlerKind = AwaitResponseHelper.HandlerKind
+
+        if self.handler_kind is HandlerKind.unknown:
+            if not (self.worker.result_queue is not None
+                    or self.worker.postproc_queues is not None):
+                print_colored_debug(
+                    f"creating await_response helper for Worker\n",
+                    color="yellow")
+                # When ExecutorBindingWorker is used in the main process
+                # aka the single process mode
+                self.handler_kind = HandlerKind.single_process_worker
+            elif self.worker.result_queue is not None or self.worker.postproc_queues is not None:
+                # The ExecutorBindingProxy is used
+                print_colored_debug(f"creating await_response helper for IPC\n",
+                                    color="yellow")
+                self.handler_kind = HandlerKind.ipc_batched
+            else:
+                raise NotImplementedError
+
+        match self.handler_kind:
+            case HandlerKind.single_process_worker:
+                return self.handle_for_worker(responses)
+            case HandlerKind.ipc_batched:
+                return self.handle_for_ipc_batched(responses)
+            case _:
+                raise NotImplementedError
+
+    def __call__(self, timeout: Optional[float] = None) -> bool:
+        ''' This method should be called by a ManagedThread. '''
+        timeout = timeout or 0.1
+        responses = self.worker.engine.await_responses(
+            timeout=datetime.timedelta(seconds=timeout))
+        # filter since The _engine_response_callback may return None
+        responses = list(
+            filter(
+                lambda _: _,
+                [self.worker._engine_response_callback(r) for r in responses]))
+
+        # append the error responses to the temp_error_responses
+        while not self.temp_error_responses.empty():
+            responses.append(self.temp_error_responses.get())
+
+        with nvtx_range_debug(f"await_response-{len(responses)}",
+                              color="red",
+                              category="Worker"):
+            self.responses_handler(responses)
+        return True
+
+    def handle_for_worker(self, responses: List[tllm.Response]) -> None:
+        ''' Return the responses to asyncio.event_loop. '''
+        event_loop = None
+        async_queues = []
+        for response in responses:
+            assert response is not None
+            queue = self.worker.return_queue(response.client_id)
+
+            response = _maybe_wrap_response(self.worker, response,
+                                            self.worker._is_pytorch_backend)
+
+            # For AsyncQueue.sync_q, we will batch the events to avoid too many
+            # event notifications, thus put without wait here.
+            if isinstance(queue, _SyncQueue):
+                global_tracer().log_instant("worker-rsp.put")
+                queue.put_nowait(response)
+                async_queues.append(queue)
+                # all the loops are identical
+                event_loop = event_loop or queue.loop
+            else:
+                queue.put(response)
+
+            if response.has_error() or response.result.is_final:
+                self.worker._pop_result(response.client_id)
+
+        # Notify the events in bulk for performance.
+        if async_queues:
+            _SyncQueue.notify_many(event_loop, async_queues)
+
+    def handle_for_ipc_batched(self, responses: List[tllm.Response]) -> None:
+        ''' Perform the IPC in batch explicitly. '''
+        postproc_batches = [
+            []
+            for _ in range(self.worker.postproc_config.num_postprocess_workers)
+        ] if self.enable_postprocprocess_parallel else None
+        rsp_batch = [] if not self.enable_postprocprocess_parallel else None
+
+        for response in responses:
+
+            if isinstance(response, ErrorResponse):
+                pass  # send ErrorResponse directly
+            elif self.worker._has_background_error():
+                response = self.worker._create_error_response(response)
+            elif response.has_error():
+                # Convert to ErrorResponse, because tllm.Response cannot be
+                # serialized when it has error.
+                response = ErrorResponse(response.client_id, response.error_msg,
+                                         response.request_id)
+            else:
+                response = _maybe_wrap_response(self.worker, response,
+                                                self.worker._is_pytorch_backend)
+
+            _send_rsp(self.worker,
+                      response,
+                      postproc_batches=postproc_batches,
+                      rsp_batch=rsp_batch)
+
+        if postproc_batches:
+            for wid, batch in enumerate(postproc_batches):
+                if batch:
+                    self.worker.postproc_queues[wid].put(batch)
+
+        if rsp_batch:
+            self.worker.result_queue.put(rsp_batch)
+
+
+def _get_params_for_first_rsp(
+        worker,
+        client_id) -> Tuple[Optional[SamplingParams], Optional[PostprocParams]]:
+    res = worker._results.get(client_id, None)
+    assert res is not None
+    if not res._params_transmitted:
+        res._params_transmitted = True
+        return res.sampling_params, res.postproc_params
+    return None, None
+
+
+def _get_logprobs(worker,
+                  response: tllm.Response,
+                  is_pytorch_backend=False) -> Optional[LogProbsResult]:
+    """Compute logprob and prompt logprob and clear out logits if applicable.
+    """
+    if is_pytorch_backend:
+        # _get_logprobs() is a WAR for the TRT backend, where top-k logprobs are computed post runtime.
+        # In the PyTorch backend, logprobs are already computed during runtime if requested.
+        return None
+
+    logprobs_result = None
+    generation_result = worker._results.get(response.client_id, None)
+
+    if not generation_result:
+        return
+
+    logprob_params = getattr(generation_result, "_logprob_params", None)
+    if logprob_params:
+        logprobs_result = compute_logprobs(logprob_params.prompt_logprobs,
+                                           logprob_params.logprobs,
+                                           response.result.context_logits,
+                                           response.result.generation_logits,
+                                           response.result.output_token_ids[0])
+
+        if logprob_params.drop_context_logits:
+            response.clear_context_logits()
+
+        if logprob_params.drop_generation_logits:
+            response.clear_generation_logits()
+
+    if response.result.is_final:
+        generation_result.clear_logprob_params()
+
+    return logprobs_result
+
+
+def _send_rsp(
+        worker,
+        response: Union[tllm.Response, ResponseWrapper, ErrorResponse],
+        postproc_batches: Optional[List[List["PostprocWorker.Input"]]] = None,
+        rsp_batch: Optional[List[tllm.Response]] = None):
+    # if postproc_batches is set, append to batch instead of putting to IpcQueue
+
+    if worker.result_queue is not None:
+        if rsp_batch is not None:
+            rsp_batch.append(response)
+        else:
+            worker.result_queue.put(response)
+    else:
+        sampling_params, postproc_params = _get_params_for_first_rsp(
+            worker, response.client_id)
+        inp = PostprocWorker.Input(
+            response,
+            # sampling_params is necessary for creating fake GenerationResult
+            # instances in the postproc processes. They are for incremental
+            # detokenize. They should be transmitted only once for each
+            # Request.
+            sampling_params=sampling_params,
+            postproc_params=postproc_params,
+            streaming=worker._results.get(response.client_id, None)._streaming)
+
+        pid = response.client_id % worker.postproc_config.num_postprocess_workers
+
+        if not postproc_batches:
+            # Group the responses into buckets for the postprocessing steps.
+            # Bucketing is used instead of random dispatching because the
+            # incremental detokenization during postprocessing relies on the
+            # prior CompletionOutput of a given request.
+            worker.postproc_queues[pid].put(inp)
+        else:
+            postproc_batches[pid].append(inp)
+
+    # Eliminate the finished GenerationRequest instances timely, which may
+    # take considerable memory.
+    if is_llm_response(response):
+        if response.has_error() or response.result.is_final:
+            worker._pop_result(response.client_id)
+    elif isinstance(response, ErrorResponse):
+        worker._pop_result(response.client_id)
+    else:
+        raise ValueError(f"Unknown response type: {response}")
+
+
+def _get_metrics_dict(
+        response: tllm.Response) -> dict[RequestEventTiming, float]:
+    req_perf_metrics, metrics_dict = None, {}
+    res = response.result
+    if res:
+        if hasattr(res, '_result'):
+            if result := res.get_result():
+                req_perf_metrics = result.request_perf_metrics
+        else:
+            req_perf_metrics = res.request_perf_metrics
+        if req_perf_metrics and req_perf_metrics.timing_metrics:
+            metrics_dict = {
+                RequestEventTiming.ARRIVAL_TIME:
+                req_perf_metrics.timing_metrics.arrival_time.total_seconds(),
+                RequestEventTiming.FIRST_TOKEN_TIME:
+                req_perf_metrics.timing_metrics.first_token_time.total_seconds(
+                ),
+                RequestEventTiming.FIRST_SCHEDULED_TIME:
+                req_perf_metrics.timing_metrics.first_scheduled_time.
+                total_seconds(),
+                RequestEventTiming.LAST_TOKEN_TIME:
+                req_perf_metrics.timing_metrics.last_token_time.total_seconds()
+            }
+    return metrics_dict
+
+
+def _maybe_wrap_response(
+        worker,
+        response: tllm.Response,
+        is_pytorch_backend=False) -> Union[tllm.Response, ResponseWrapper]:
+
+    logprobs_result = _get_logprobs(worker, response, is_pytorch_backend)
+    req_perf_metrics = _get_metrics_dict(response)
+    if logprobs_result or req_perf_metrics:
+        response = ResponseWrapper(response, logprobs_result, req_perf_metrics)
+    return response
diff --git a/tensorrt_llm/executor/worker.py b/tensorrt_llm/executor/worker.py
index 5dbbf19f24c..55e80cb9a1e 100644
--- a/tensorrt_llm/executor/worker.py
+++ b/tensorrt_llm/executor/worker.py
@@ -1,6 +1,3 @@
-import copy
-import datetime
-import enum
 import json
 import os
 import time
@@ -8,48 +5,40 @@
 from concurrent.futures import ProcessPoolExecutor
 from pathlib import Path
 from queue import Queue
-from typing import Callable, Dict, List, Optional, Tuple, Union
+from typing import Callable, List, Optional, Tuple, Union
 
-import torch
 import zmq
 
 from tensorrt_llm.logger import logger
 
-from .._utils import (KVCacheEventSerializer, global_mpi_rank, global_mpi_size,
-                      mpi_comm, mpi_rank, nvtx_range_debug)
+from .._utils import KVCacheEventSerializer, mpi_comm, mpi_rank
 from ..bindings import executor as tllm
-from ..builder import ConfigEncoder, Engine, EngineConfig
-from ..llmapi.llm_args import BaseLlmArgs, KvCacheConnectorConfig, PybindMirror
+from ..builder import Engine
+from ..llmapi.llm_args import BaseLlmArgs, KvCacheConnectorConfig
 from ..llmapi.mpi_session import set_mpi_session_cpp
 from ..llmapi.tokenizer import TokenizerBase
-from ..llmapi.tracer import VizTracer, global_tracer, set_global_tracer
+from ..llmapi.tracer import VizTracer, set_global_tracer
 from ..llmapi.utils import (AsyncQueue, ManagedThread, _SyncQueue,
                             clear_sched_affinity, print_colored_debug,
                             print_traceback_on_error)
 from ..lora_helper import LoraConfig
-from ..lora_manager import LoraManager
-from ..metrics import RequestEventTiming
-from ..prompt_adapter_manager import PromptAdapterManager
-from ..runtime import ModelConfig
-from ..runtime.model_runner import _engine_config_to_model_config
-from ..sampling_params import BatchedLogitsProcessor, SamplingParams
-from .executor import GenerationExecutor, IterationResultQueue
+from ..sampling_params import BatchedLogitsProcessor
+from .base_worker import BaseWorker
+from .executor import IterationResultQueue
 from .ipc import FusedIpcQueue, IpcQueue
-from .postproc_worker import (PostprocParams, PostprocWorker,
-                              PostprocWorkerConfig, postproc_worker_main)
-from .request import (CancellingRequest, GenerationRequest, LoRARequest,
-                      PromptAdapterRequest)
-from .result import (GenerationResult, IterationResult, LogProbsResult,
-                     ResponseWrapper, compute_logprobs)
-from .utils import (ErrorResponse, IntraProcessQueue, RequestError,
-                    WorkerCommIpcAddrs, has_event_loop, is_llm_response)
+from .postproc_worker import (PostprocWorker, PostprocWorkerConfig,
+                              postproc_worker_main)
+from .request import CancellingRequest, GenerationRequest
+from .result import IterationResult
+from .utils import (ErrorResponse, RequestError, WorkerCommIpcAddrs,
+                    has_event_loop)
 
 __all__ = [
     "GenerationExecutorWorker",
 ]
 
 
-class GenerationExecutorWorker(GenerationExecutor):
+class GenerationExecutorWorker(BaseWorker):
 
     class WorkerExit(GeneratorExit):
         pass
@@ -67,150 +56,20 @@ def __init__(
         tokenizer: Optional[TokenizerBase] = None,
         llm_args: Optional[BaseLlmArgs] = None,
     ) -> None:
-        postproc_config = postproc_worker_config or PostprocWorkerConfig()
         super().__init__(
-            num_postprocess_workers=postproc_config.num_postprocess_workers,
-            postprocess_tokenizer_dir=postproc_config.postprocess_tokenizer_dir,
+            engine=engine,
+            executor_config=executor_config,
+            batched_logits_processor=batched_logits_processor,
+            postproc_worker_config=postproc_worker_config,
             is_llm_executor=is_llm_executor,
+            lora_config=lora_config,
+            kv_connector_config=kv_connector_config,
+            hf_model_dir=hf_model_dir,
+            tokenizer=tokenizer,
+            llm_args=llm_args,
         )
 
-        self.engine = None
-        self.result_queue: Optional[IpcQueue] = None
-        self.postproc_queues: Optional[List[IpcQueue]] = None
-        self.rank = mpi_rank()
-        self.global_rank = global_mpi_rank()
-        # mapping: client_id -> GenerationResult
-        self._results: Dict[int, GenerationResult] = {}
-        # mapping: client_id from Proxy -> request_id returned from runtime backend
-        self._client_id_to_request_id: Dict[int, int] = {}
-        self._await_response_helper = AwaitResponseHelper(
-            self)  # TODO: make it weakref
-        self._executor_config = executor_config
-        self._is_pytorch_backend = llm_args is not None and llm_args.backend in [
-            "pytorch", "_autodeploy"
-        ]
-        self.llm_args = llm_args
-
-        if not self._is_pytorch_backend and kv_connector_config is not None:
-            raise ValueError(
-                "KV connector config is only supported for PyTorch backend")
-
-        if global_mpi_size() > 1:
-            logger.set_rank(self.global_rank)
-
-        if isinstance(engine, list):
-            engine = engine[self.rank]
-
-        def _get_comm_ranks_device_id():
-            device_id = self.global_rank % torch.cuda.device_count()
-            torch.cuda.set_device(device_id)
-            # Make sure C++ executor would use same devices/ranks as py_executor
-            global_rank = global_mpi_rank()
-            comm_ranks = mpi_comm().allgather(global_rank)
-            device_ids = mpi_comm().allgather(device_id)
-            return comm_ranks, device_ids
-
-        def _create_py_executor():
-            args = {}
-            assert hasattr(
-                self.llm_args, "backend"
-            ), "llm_args should be with backend in _create_py_executor"
-            _ = _get_comm_ranks_device_id()
-            if self.llm_args.backend == "pytorch":
-                from tensorrt_llm._torch.pyexecutor.py_executor_creator import \
-                    create_py_executor
-                create_executor = create_py_executor
-                args["llm_args"] = self.llm_args
-                args["checkpoint_dir"] = hf_model_dir
-                args["tokenizer"] = tokenizer
-                args["lora_config"] = lora_config
-                args["kv_connector_config"] = kv_connector_config
-            elif self.llm_args.backend == "_autodeploy":
-                from tensorrt_llm._torch.auto_deploy.llm_args import \
-                    LlmArgs as ADLlmArgs
-                from tensorrt_llm._torch.auto_deploy.shim.ad_executor import \
-                    create_autodeploy_executor
-                create_executor = create_autodeploy_executor
-                assert isinstance(self.llm_args, ADLlmArgs)
-                args["ad_config"] = self.llm_args.get_pytorch_backend_config()
-            else:
-                raise ValueError(
-                    f"Unsupported backend config: {self.llm_args.backend}")
-
-            # Define additional attributes that can be used later, such as in _deduce_max_tokens
-            self.mapping = self.llm_args.parallel_config.to_mapping()
-            self.checkpoint_loader = None
-            if self.llm_args.backend == "pytorch":
-                from tensorrt_llm._torch.pyexecutor.config import \
-                    _construct_checkpoint_loader
-                self.checkpoint_loader = _construct_checkpoint_loader(
-                    self.llm_args.backend, self.llm_args.checkpoint_loader,
-                    self.llm_args.checkpoint_format)
-
-            _executor = create_executor(**args)
-            self.max_seq_len = self.llm_args.max_seq_len
-            if _executor.max_seq_len is not None:
-                # max_seq_len might be updated by model engine as in create_py_executor
-                self.max_seq_len = _executor.max_seq_len
-            return _executor
-
-        def _create_engine(executor_config):
-            if executor_config is None:
-                executor_config = tllm.ExecutorConfig(1)
-            executor_config.logits_post_processor_config = tllm.LogitsPostProcessorConfig(
-                processor_batched=batched_logits_processor, replicate=False)
-            comm_ranks, device_ids = _get_comm_ranks_device_id()
-            executor_config.parallel_config = tllm.ParallelConfig(
-                participant_ids=comm_ranks, device_ids=device_ids)
-
-            if isinstance(engine, Engine):
-                return tllm.Executor(engine.engine,
-                                     json.dumps(engine.config.to_dict(),
-                                                cls=ConfigEncoder),
-                                     tllm.ModelType.DECODER_ONLY,
-                                     executor_config=executor_config,
-                                     managed_weights=engine.managed_weights)
-
-            assert not hasattr(executor_config, "backend")
-            return tllm.Executor(engine, tllm.ModelType.DECODER_ONLY,
-                                 executor_config)
-
-        self.engine = _create_py_executor(
-        ) if self.llm_args is not None else _create_engine(executor_config)
-
-        self._lora_manager: Optional[LoraManager] = None
-        self._prompt_adapter_manager: Optional[PromptAdapterManager] = None
-        self._runtime_model_config: Optional[ModelConfig] = None
-        if self.rank == 0 and isinstance(self.engine, tllm.Executor):
-            if isinstance(engine, Engine):
-                engine_config = engine.config
-            else:
-                engine_config = EngineConfig.from_json_file(
-                    f"{engine}/config.json")
-            self._runtime_model_config = _engine_config_to_model_config(
-                engine_config)
-            if engine_config.build_config.plugin_config.lora_plugin:
-                # TODO(azuker): Passing peft cache manager to LoraManager is used for LoRA optimization
-                # (see LoraManager constructor docstring). Getting the peft cache manager from this
-                # point in the TRT flow is currently not supported (it's at the CPP
-                # Executor->ExecutorImpl->TrtGptModel->mPeftCacheManager) therefore for now this LoRA
-                # optimization is not available in TRT-python flow.
-                self._lora_manager = LoraManager(cpp_peft_cache_manager=None)
-            if engine_config.build_config.max_prompt_embedding_table_size > 0:
-                self._prompt_adapter_manager = PromptAdapterManager()
-
-        if self.llm_args and getattr(
-                self.llm_args, "backend",
-                "") == "pytorch" and lora_config is not None:
-            from tensorrt_llm._torch.pyexecutor.resource_manager import \
-                ResourceManagerType
-            peft_cache_manager = self.engine.resource_manager.resource_managers.get(
-                ResourceManagerType.PEFT_CACHE_MANAGER)
-            self._lora_manager = LoraManager(
-                cpp_peft_cache_manager=peft_cache_manager.impl)
-            lora_model_config = self.engine.model_engine.lora_model_config
-            assert lora_model_config is not None
-            self._lora_model_config = lora_model_config
+        self.setup_engine()
 
         self.await_response_thread = ManagedThread(
             self.await_response_task,
@@ -227,16 +86,6 @@ def _create_engine(executor_config):
             error_queue=self._error_queue,
             name="dispatch_kv_cache_events_thread")
 
-    def set_result_queue(self, queue):
-        """In multi-gpu mode, result_queue will be set here to communicate between the proxy and the worker 0 process."""
-        assert self.postproc_queues is None
-        self.result_queue = queue
-
-    def set_postproc_queues(self, queues: List["IpcQueue"]):
-        """ Set the IPC queues for feeding post-processing processes. """
-        assert self.result_queue is None
-        self.postproc_queues = queues
-
     def _create_iteration_result_queue(self,
                                        it_result_queue: IterationResultQueue):
         if not it_result_queue.is_initialized:
@@ -251,53 +100,13 @@ def _create_iteration_result_queue(self,
                 it_result_queue.queue = _queue
                 it_result_queue.aqueue = None
 
-    def _set_iteration_result_queue(self, it_result_queue: IterationResultQueue,
-                                    queue: Union[Queue, FusedIpcQueue,
-                                                 IntraProcessQueue]):
-        assert not it_result_queue.is_initialized, "Iteration result queue should not already be initialized."
-        it_result_queue.is_initialized = True
-        it_result_queue.queue = queue
-        it_result_queue.aqueue = None
-
-    def return_queue(self, client_id: int):
-        """ If a centralized result queue is registered (used for communication with the proxy)
-            send the message there.
-            Otherwise, push the result directly in the GenerationResult queue.
-        """
-        if self.result_queue is not None:
-            return self.result_queue
-        return self._results[client_id].queue
-
     def start_thread(self, thread: ManagedThread):
         if self.engine.can_enqueue_requests() and not thread.is_alive():
             thread.start()
 
-    def abort_request(self, client_id: int) -> None:
-        # NOTE: the request_id is the request_id generated by cpp runtime, not the client_id
-        if self.engine.can_enqueue_requests():
-            request_id = self._client_id_to_request_id.get(client_id, None)
-            if request_id is None:
-                logger.warning(
-                    f"Request of client_id {client_id} is finished, cannot abort it."
-                )
-                return
-            self.engine.cancel_request(request_id)
-
-    def _engine_response_callback(self, response: tllm.Response):
-        return response
-
     def await_response_task(self) -> bool:
         return self._await_response_helper()
 
-    def _has_background_error(self) -> bool:
-        return not self._error_queue.empty()
-
-    def _create_error_response(self, response: tllm.Response) -> ErrorResponse:
-        bck_error = self._error_queue.get_nowait()
-        assert isinstance(bck_error, Exception)
-        return ErrorResponse(response.client_id, str(bck_error),
-                             response.request_id)
-
     def _iteration_result_task(self, it_result_queue: IterationResultQueue,
                                engine_get_result_api: Callable,
                                result_singleton: IterationResult,
@@ -350,16 +159,7 @@ def stats_serializer(
             # Convert back to JSON string
             return json.dumps(stats_dict)
 
-        def get_stats():
-            if isinstance(self.engine, tllm.Executor):
-                iter_stats = self.engine.get_latest_iteration_stats()
-                #TODO: Support req stats with TRT engine
-                #      This would require ensuring iter and req stats have same size
-                return [(iter_stat, None) for iter_stat in iter_stats]
-            else:
-                return self.engine.get_latest_iteration_stats()
-
-        return self._iteration_result_task(self.stats_queues, get_stats,
+        return self._iteration_result_task(self.stats_queues, self.fetch_stats,
                                            self._iter_stats_result,
                                            stats_serializer)
 
@@ -392,264 +192,6 @@ def start(self):
         if mpi_rank() == 0:
             self.start_thread(self.dispatch_stats_thread)
 
-    def _load_lora_adapter(self, lora_request: LoRARequest) -> bool:
-        """Returns True if the adapter was loaded by this call, False if it was already loaded"""
-        adapter_id = str(lora_request.adapter_id)
-        newly_loaded_uids = self._lora_manager.load_from_ckpt(
-            [lora_request.path],
-            model_config=self._runtime_model_config if
-            self._runtime_model_config is not None else self._lora_model_config,
-            runtime_mapping=None,
-            uids=[adapter_id],
-            ckpt_source=lora_request.ckpt_source)
-        return adapter_id in newly_loaded_uids
-
-    def _load_prompt_adapter(self,
-                             prompt_adapter_request: PromptAdapterRequest):
-        self._prompt_adapter_manager.load_from_ckpt(
-            [prompt_adapter_request.local_path],
-            model_config=self._runtime_model_config,
-            uids=[str(prompt_adapter_request.adapter_id)])
-
-    def _enqueue_request(self, request: GenerationRequest) -> int:
-        assert request.id is not None
-        py_lora_path = None
-        if self._lora_manager is not None and request.lora_request is not None:
-            adapter_in_cache = self._lora_manager.is_adapter_in_cpu_cache(
-                request.lora_request.adapter_id)
-            self._load_lora_adapter(request.lora_request)
-            uid = str(request.lora_request.adapter_id)
-            lora_config = tllm.LoraConfig(
-                task_id=request.lora_request.adapter_id,
-                weights=self._lora_manager.cpp_lora_weights[uid]
-                if not adapter_in_cache else None,
-                config=self._lora_manager.cpp_lora_config[uid])
-            py_lora_path = request.lora_request.lora_path
-        else:
-            lora_config = None
-
-        prompt_token_ids = copy.deepcopy(request.prompt_token_ids)
-        prompt_tuning_config = None
-        if request.prompt_adapter_request is not None:
-            self._load_prompt_adapter(request.prompt_adapter_request)
-            uid = str(request.prompt_adapter_request.adapter_id)
-            prompt_tuning_config = tllm.PromptTuningConfig(
-                self._prompt_adapter_manager.uid_to_weights[uid])
-            vocab_size = self._runtime_model_config.vocab_size
-            pa_length = prompt_tuning_config.embedding_table.size(0)
-            prompt_token_ids = list(range(
-                vocab_size, vocab_size + pa_length)) + prompt_token_ids
-
-        # MULTIMODAL
-        # NOTE: Since, we only support PyTorch backend for multimodal, we will send multimodal_data through the 'py_multimodal_data' field
-        # except `multimodal_input` as it needs to go through the C++ runtime.
-        multimodal_input = None
-        if request.multimodal_params is not None and request.multimodal_params.has_content(
-        ):
-            if request.multimodal_params.multimodal_input is not None:
-                multimodal_input = tllm.MultimodalInput(
-                    multimodal_hashes=request.multimodal_params.
-                    multimodal_input.multimodal_hashes,
-                    multimodal_positions=request.multimodal_params.
-                    multimodal_input.multimodal_positions,
-                    multimodal_lengths=request.multimodal_params.
-                    multimodal_input.multimodal_lengths)
-            # NOTE: Setting to None here to avoid sending multimodal_input again through the 'py_multimodal_data' field
-            request.multimodal_params.multimodal_input = None
-
-        context_phase_params = None
-        request_type = tllm.RequestType.REQUEST_TYPE_CONTEXT_AND_GENERATION
-        if request.disaggregated_params is not None:
-            assert (
-                not self._is_pytorch_backend
-                or self.engine.kv_cache_transceiver is not None
-            ), "kv_cache_transceiver is disabled, please set 'cache_transceiver_config: backend:<backend_type>` in config file for disaggregated serving"
-            request_type = request.disaggregated_params.get_request_type()
-            if request_type == tllm.RequestType.REQUEST_TYPE_GENERATION_ONLY:
-                context_phase_params = request.disaggregated_params.get_context_phase_params(
-                )
-
-        if self._is_pytorch_backend:
-            if not self.llm_args.disable_overlap_scheduler:
-                is_disaggregated = self.engine.kv_cache_transceiver is not None
-                if is_disaggregated and (
-                        request_type
-                        == tllm.RequestType.REQUEST_TYPE_CONTEXT_ONLY):
-                    raise ValueError(
-                        "Context only requests are not supported in pytorch backend when overlap is enabled."
-                    )
-
-        assert request.id is not None
-
-        def _deduce_max_tokens(request: GenerationRequest,
-                               executor_config: tllm.ExecutorConfig,
-                               llm_args: Optional[BaseLlmArgs] = None) -> int:
-            # deduce max_tokens when it's not set by user
-            max_tokens = request.sampling_params.max_tokens
-            query_token_len = len(
-                request.query_token_ids) if request.query_token_ids else 0
-
-            cp_size = 1
-            max_seq_len = None
-            if llm_args is not None:
-                # deduce max_tokens by llm args
-                assert executor_config is None, "An empty executor_config in _deduce_max_tokens is expected when LLM arguments are defined."
-                if hasattr(self,
-                           "mapping") and self.mapping.cp_size is not None:
-                    cp_size = self.mapping.cp_size
-                max_seq_len = getattr(self, "max_seq_len", None)
-            else:
-                # deduce max_tokens by executor config
-                if hasattr(executor_config, "mapping"
-                           ) and executor_config.mapping.cp_size is not None:
-                    cp_size = executor_config.mapping.cp_size
-                max_seq_len = getattr(executor_config, "max_seq_len", None)
-            if max_seq_len is None:
-                logger.warning("`default_max_tokens` cannot be deduced")
-                if max_tokens is None:
-                    raise ValueError(
-                        "`max_tokens` must be set when `default_max_tokens` cannot be deduced"
-                    )
-                else:
-                    # use max_tokens if can't deduce default_max_tokens
-                    return max_tokens
-            if executor_config is not None:
-                assert (
-                    len(prompt_token_ids) <= executor_config.max_seq_len
-                ), f"`prompt_token_ids` length ({len(prompt_token_ids)}) is greater than `max_seq_len` ({executor_config.max_seq_len})"
-            splited_prompt_len = int(len(prompt_token_ids) / cp_size)
-            default_max_tokens = max_seq_len - splited_prompt_len - query_token_len
-            if default_max_tokens <= 0:
-                logger.warning(
-                    f"`default_max_tokens` ({default_max_tokens}) should be greater than 0, "
-                    f"`default_max_tokens` ({default_max_tokens}) = max_seq_len ({max_seq_len})"
-                    f" - `splited_prompt_len` ({splited_prompt_len}) - `query_token_len` ({query_token_len})"
-                )
-                if max_tokens is None:
-                    raise ValueError(
-                        "`max_tokens` must be set when `default_max_tokens` is illegal"
-                    )
-            # default_max_tokens is the biggest available value
-            if max_tokens is None:
-                return default_max_tokens
-            elif max_tokens > default_max_tokens:
-                logger.warning(
-                    f"User-specified `max_tokens` ({max_tokens}) is greater than deduced "
-                    f"`default_max_tokens` ({default_max_tokens}), using default_max_tokens instead."
-                )
-                return default_max_tokens
-            return max_tokens
-
-        try:
-            executor_request = tllm.Request(
-                client_id=request.id,
-                input_token_ids=prompt_token_ids,
-                max_tokens=_deduce_max_tokens(request, self._executor_config,
-                                              self.llm_args),
-                streaming=request.streaming,
-                sampling_config=request.sampling_params._get_sampling_config(),
-                end_id=-1 if request.sampling_params.ignore_eos else
-                request.sampling_params.end_id,
-                pad_id=request.sampling_params.pad_id,
-                output_config=request.sampling_params._get_output_config(
-                    is_pytorch_backend=self._is_pytorch_backend),
-                # Beam search enforces return_all_generated_tokens=True regardless of the passed value
-                return_all_generated_tokens=False,
-                # convert python config into pybind config
-                lookahead_config=PybindMirror.maybe_to_pybind(
-                    request.sampling_params.lookahead_config),
-                guided_decoding_params=request.sampling_params.
-                _get_guided_decoding_params(),
-                bad_words=request.sampling_params._get_bad_words(),
-                stop_words=request.sampling_params._get_stop_words(),
-                embedding_bias=request.sampling_params.embedding_bias,
-                lora_config=lora_config,
-                prompt_tuning_config=prompt_tuning_config,
-                multimodal_input=multimodal_input,
-                # NOTE: `multimodal_embedding` and `mrope_config` will be in MultimodalParams.multimodal_data. And this will be handled below by `py_multimodal_data`.
-                multimodal_embedding=None,
-                mrope_config=None,
-                logits_post_processor_name=(
-                    tllm.Request.BATCHED_POST_PROCESSOR_NAME
-                    if request.sampling_params.apply_batched_logits_processor
-                    else None),
-                logits_post_processor=None if self._is_pytorch_backend else
-                request.sampling_params.logits_processor,
-                kv_cache_retention_config=request.kv_cache_retention_config,
-                context_phase_params=context_phase_params,
-                type=request_type,
-                cache_salt_id=request.cache_salt_id)
-            executor_request.py_lora_path = py_lora_path
-
-            if self._is_pytorch_backend and request.multimodal_params is not None:
-                if request.multimodal_params.multimodal_data is not None:
-                    # NOTE: Deserialize SharedTensor handle to actual tensor
-                    request.multimodal_params.to_tensor("multimodal_data")
-                    executor_request.py_multimodal_data = request.multimodal_params.multimodal_data
-
-            if self._is_pytorch_backend and request.sampling_params.logits_processor:
-                # For PyTorch backend, we attach logits processors as a dynamic Python attribute
-                # instead of using the C++ binding, since the latter will cause PyCapsule pickling issues.
-                lp = request.sampling_params.logits_processor
-                executor_request.py_logits_post_processors = lp if isinstance(
-                    lp, list) else [lp]
-
-            executor_request.py_scheduling_params = None
-            if self._is_pytorch_backend and request.scheduling_params is not None:
-                executor_request.py_scheduling_params = request.scheduling_params
-
-            if request.arrival_time is not None:
-                executor_request.py_arrival_time = request.arrival_time
-
-            if request.query_token_ids is not None:
-                # pytorch star attention workflow
-                # a workaround to avoid public interface update
-                req_id = self.engine.enqueue_request(executor_request,
-                                                     request.query_token_ids)
-            else:
-                req_id = self.engine.enqueue_request(executor_request)
-            return req_id
-        except Exception as e:
-            raise RequestError(str(e)) from e
-
-    def submit(self, request: GenerationRequest) -> GenerationResult:
-        """ Low-level API to the executor. Return a "future" GenerationResult which can be waited. """
-        self.start()
-
-        if self.rank != 0:
-            raise RuntimeError(
-                "Only rank 0 can submit requests.\n"
-                "To fix this, ensure that the llm.generate(...) method is "
-                "guarded with the `if __name__ == '__main__':` block.")
-
-        client_id = request.id if request.id is not None else self._get_next_client_id(
-        )
-        if request.id is None:
-            request.set_id(client_id)
-
-        logprob_params = self._get_logprob_params(request)
-
-        result = GenerationResult(
-            request,
-            background_error_handler=self._handle_background_error,
-            executor=self,
-            disaggregated_params=request.disaggregated_params,
-            logprob_params=logprob_params)
-
-        self._results[client_id] = result
-
-        request_id = self._enqueue_request(request)
-        # request_id returned from backend is necessary for the abort_request method.
-        self._client_id_to_request_id[client_id] = request_id
-
-        self._handle_background_error()
-
-        return result
-
-    def _pop_result(self, client_id: int):
-        self._results.pop(client_id, None)
-        self._client_id_to_request_id.pop(client_id, None)
-
     def shutdown(self):
 
         if self.doing_shutdown:
@@ -705,16 +247,6 @@ def block_subordinates(self):
             if isinstance(self.engine, PyExecutor):
                 self.engine.wait_shutdown()
 
-    def __enter__(self):
-        return self
-
-    def __exit__(self, exc_type, exc_value, traceback) -> bool:
-        self.shutdown()
-        return exc_type is None or exc_type == GenerationExecutorWorker.WorkerExit
-
-    def __del__(self):
-        self.shutdown()
-
 
 @print_traceback_on_error
 def worker_main(
@@ -924,265 +456,3 @@ def notify_proxy_threads_to_quit():
             logger.error(traceback.format_exc())
             # This will be captured by mpi4py and handled by future.done_callback
             raise e
-
-
-class AwaitResponseHelper:
-    ''' Multiple-implementations for await_response for performance. '''
-
-    class HandlerKind(enum.Enum):
-        unknown = 0
-        single_process_worker = 1
-        ipc_batched = 2
-
-    def __init__(self, worker: "GenerationExecutorWorker"):
-        # TODO: make worker weakref
-        self.worker = worker
-        self.handler_kind: AwaitResponseHelper.HandlerKind = AwaitResponseHelper.HandlerKind.unknown
-        self.enable_postprocprocess_parallel = self.worker.enable_postprocess_parallel
-        # The error responses when submit request failed will be put here
-        self.temp_error_responses = Queue()
-
-    def responses_handler(self, responses: List[tllm.Response]):
-        HandlerKind = AwaitResponseHelper.HandlerKind
-
-        if self.handler_kind is HandlerKind.unknown:
-            if not (self.worker.result_queue is not None
-                    or self.worker.postproc_queues is not None):
-                print_colored_debug(
-                    f"creating await_response helper for Worker\n",
-                    color="yellow")
-                # When ExecutorBindingWorker is used in the main process
-                # aka the single process mode
-                self.handler_kind = HandlerKind.single_process_worker
-            elif self.worker.result_queue is not None or self.worker.postproc_queues is not None:
-                # The ExecutorBindingProxy is used
-                print_colored_debug(f"creating await_response helper for IPC\n",
-                                    color="yellow")
-                self.handler_kind = HandlerKind.ipc_batched
-            else:
-                raise NotImplementedError
-
-        match self.handler_kind:
-            case HandlerKind.single_process_worker:
-                return self.handle_for_worker(responses)
-            case HandlerKind.ipc_batched:
-                return self.handle_for_ipc_batched(responses)
-            case _:
-                raise NotImplementedError
-
-    def __call__(self) -> bool:
-        ''' This method should be called by a ManagedThread. '''
-        responses = self.worker.engine.await_responses(
-            timeout=datetime.timedelta(milliseconds=100))
-        # filter since The _engine_response_callback may return None
-        responses = list(
-            filter(
-                lambda _: _,
-                [self.worker._engine_response_callback(r) for r in responses]))
-
-        # append the error responses to the temp_error_responses
-        while not self.temp_error_responses.empty():
-            responses.append(self.temp_error_responses.get())
-
-        with nvtx_range_debug(f"await_response-{len(responses)}",
-                              color="red",
-                              category="Worker"):
-            self.responses_handler(responses)
-        return True
-
-    def handle_for_worker(self, responses: List[tllm.Response]) -> None:
-        ''' Return the responses to asyncio.event_loop. '''
-        event_loop = None
-        async_queues = []
-        for response in responses:
-            assert response is not None
-            queue = self.worker.return_queue(response.client_id)
-
-            response = _maybe_wrap_response(self.worker, response,
-                                            self.worker._is_pytorch_backend)
-
-            # For AsyncQueue.sync_q, we will batch the events to avoid too many
-            # event notifications, thus put without wait here.
-            if isinstance(queue, _SyncQueue):
-                global_tracer().log_instant("worker-rsp.put")
-                queue.put_nowait(response)
-                async_queues.append(queue)
-                # all the loops are identical
-                event_loop = event_loop or queue.loop
-            else:
-                queue.put(response)
-
-            if response.has_error() or response.result.is_final:
-                self.worker._pop_result(response.client_id)
-
-        # Notify the events in bulk for performance.
-        if async_queues:
-            _SyncQueue.notify_many(event_loop, async_queues)
-
-    def handle_for_ipc_batched(self, responses: List[tllm.Response]) -> None:
-        ''' Perform the IPC in batch explicitly. '''
-        postproc_batches = [
-            []
-            for _ in range(self.worker.postproc_config.num_postprocess_workers)
-        ] if self.enable_postprocprocess_parallel else None
-        rsp_batch = [] if not self.enable_postprocprocess_parallel else None
-
-        for response in responses:
-
-            if isinstance(response, ErrorResponse):
-                pass  # send ErrorResponse directly
-            elif self.worker._has_background_error():
-                response = self.worker._create_error_response(response)
-            elif response.has_error():
-                # Convert to ErrorResponse, because tllm.Response cannot be
-                # serialized when it has error.
-                response = ErrorResponse(response.client_id, response.error_msg,
-                                         response.request_id)
-            else:
-                response = _maybe_wrap_response(self.worker, response,
-                                                self.worker._is_pytorch_backend)
-
-            _send_rsp(self.worker,
-                      response,
-                      postproc_batches=postproc_batches,
-                      rsp_batch=rsp_batch)
-
-        if postproc_batches:
-            for wid, batch in enumerate(postproc_batches):
-                if batch:
-                    self.worker.postproc_queues[wid].put(batch)
-
-        if rsp_batch:
-            self.worker.result_queue.put(rsp_batch)
-
-
-def _get_params_for_first_rsp(
-        worker,
-        client_id) -> Tuple[Optional[SamplingParams], Optional[PostprocParams]]:
-    res = worker._results.get(client_id, None)
-    assert res is not None
-    if not res._params_transmitted:
-        res._params_transmitted = True
-        return res.sampling_params, res.postproc_params
-    return None, None
-
-
-def _get_logprobs(worker,
-                  response: tllm.Response,
-                  is_pytorch_backend=False) -> Optional[LogProbsResult]:
-    """Compute logprob and prompt logprob and clear out logits if applicable.
-    """
-    if is_pytorch_backend:
-        # _get_logprobs() is a WAR for the TRT backend, where top-k logprobs are computed post runtime.
-        # In the PyTorch backend, logprobs are already computed during runtime if requested.
-        return None
-
-    logprobs_result = None
-    generation_result = worker._results.get(response.client_id, None)
-
-    if not generation_result:
-        return
-
-    logprob_params = getattr(generation_result, "_logprob_params", None)
-    if logprob_params:
-        logprobs_result = compute_logprobs(logprob_params.prompt_logprobs,
-                                           logprob_params.logprobs,
-                                           response.result.context_logits,
-                                           response.result.generation_logits,
-                                           response.result.output_token_ids[0])
-
-        if logprob_params.drop_context_logits:
-            response.clear_context_logits()
-
-        if logprob_params.drop_generation_logits:
-            response.clear_generation_logits()
-
-    if response.result.is_final:
-        generation_result.clear_logprob_params()
-
-    return logprobs_result
-
-
-def _send_rsp(
-        worker,
-        response: Union[tllm.Response, ResponseWrapper, ErrorResponse],
-        postproc_batches: Optional[List[List["PostprocWorker.Input"]]] = None,
-        rsp_batch: Optional[List[tllm.Response]] = None):
-    # if postproc_batches is set, append to batch instead of putting to IpcQueue
-
-    if worker.result_queue is not None:
-        if rsp_batch is not None:
-            rsp_batch.append(response)
-        else:
-            worker.result_queue.put(response)
-    else:
-        sampling_params, postproc_params = _get_params_for_first_rsp(
-            worker, response.client_id)
-        inp = PostprocWorker.Input(
-            response,
-            # sampling_params is necessary for creating fake GenerationResult
-            # instances in the postproc processes. They are for incremental
-            # detokenize. They should be transmitted only once for each
-            # Request.
-            sampling_params=sampling_params,
-            postproc_params=postproc_params,
-            streaming=worker._results.get(response.client_id, None)._streaming)
-
-        pid = response.client_id % worker.postproc_config.num_postprocess_workers
-
-        if not postproc_batches:
-            # Group the responses into buckets for the postprocessing steps.
-            # Bucketing is used instead of random dispatching because the
-            # incremental detokenization during postprocessing relies on the
-            # prior CompletionOutput of a given request.
-            worker.postproc_queues[pid].put(inp)
-        else:
-            postproc_batches[pid].append(inp)
-
-    # Eliminate the finished GenerationRequest instances timely, which may
-    # take considerable memory.
-    if is_llm_response(response):
-        if response.has_error() or response.result.is_final:
-            worker._pop_result(response.client_id)
-    elif isinstance(response, ErrorResponse):
-        worker._pop_result(response.client_id)
-    else:
-        raise ValueError(f"Unknown response type: {response}")
-
-
-def _get_metrics_dict(
-        response: tllm.Response) -> dict[RequestEventTiming, float]:
-    req_perf_metrics, metrics_dict = None, {}
-    res = response.result
-    if res:
-        if hasattr(res, '_result'):
-            if result := res.get_result():
-                req_perf_metrics = result.request_perf_metrics
-        else:
-            req_perf_metrics = res.request_perf_metrics
-        if req_perf_metrics and req_perf_metrics.timing_metrics:
-            metrics_dict = {
-                RequestEventTiming.ARRIVAL_TIME:
-                req_perf_metrics.timing_metrics.arrival_time.total_seconds(),
-                RequestEventTiming.FIRST_TOKEN_TIME:
-                req_perf_metrics.timing_metrics.first_token_time.total_seconds(
-                ),
-                RequestEventTiming.FIRST_SCHEDULED_TIME:
-                req_perf_metrics.timing_metrics.first_scheduled_time.
-                total_seconds(),
-                RequestEventTiming.LAST_TOKEN_TIME:
-                req_perf_metrics.timing_metrics.last_token_time.total_seconds()
-            }
-    return metrics_dict
-
-
-def _maybe_wrap_response(
-        worker,
-        response: tllm.Response,
-        is_pytorch_backend=False) -> Union[tllm.Response, ResponseWrapper]:
-
-    logprobs_result = _get_logprobs(worker, response, is_pytorch_backend)
-    req_perf_metrics = _get_metrics_dict(response)
-    if logprobs_result or req_perf_metrics:
-        response = ResponseWrapper(response, logprobs_result, req_perf_metrics)
-    return response
diff --git a/tests/unittest/executor/test_base_worker.py b/tests/unittest/executor/test_base_worker.py
new file mode 100644
index 00000000000..664beefd270
--- /dev/null
+++ b/tests/unittest/executor/test_base_worker.py
@@ -0,0 +1,193 @@
+import os
+import sys
+import time
+
+import pytest
+import torch
+
+from tensorrt_llm._utils import mpi_comm, mpi_rank, mpi_world_size
+from tensorrt_llm.bindings import executor as tllm
+from tensorrt_llm.llmapi.mpi_session import MpiPoolSession
+
+# isort: off
+sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/..")
+from utils.llm_data import llm_models_root
+# isort: on
+
+from tensorrt_llm._torch.pyexecutor.config import update_executor_config
+from tensorrt_llm.executor.base_worker import BaseWorker
+from tensorrt_llm.executor.request import GenerationRequest
+from tensorrt_llm.llmapi.llm_args import TorchLlmArgs
+from tensorrt_llm.sampling_params import SamplingParams
+
+default_model_name = "llama-models-v2/TinyLlama-1.1B-Chat-v1.0"
+model_path = llm_models_root() / default_model_name
+
+
+class FakeWorker(BaseWorker):
+
+    def __init__(self, engine: str, tp_size: int = 1):
+        llm_args, executor_config = create_fake_executor_config(engine, tp_size)
+        super().__init__(
+            engine=engine,
+            llm_args=llm_args,
+            hf_model_dir=engine,
+            executor_config=executor_config,
+        )
+        # Note: BaseWorker doesn't call setup_engine() automatically,
+        # unlike GenerationExecutorWorker, so we need to call it manually
+        self.setup_engine()
+        self._started = False
+
+    def start(self):
+        """Override start to mark as started - no background threads needed for test."""
+        if not self._started:
+            self._started = True
+            # For testing, we don't need background threads
+            # The engine's await_responses will handle the mock responses
+
+    def shutdown(self):
+        self._started = False
+        if self.engine is not None:
+            self.engine.shutdown()
+            self.engine = None
+
+
+class TestWorkerBase:
+
+    def test_create_engine(self):
+        with FakeWorker(engine=model_path) as worker:
+            print(f"Created engine: {worker.engine}")
+
+    def test_submit_request(self):
+        sampling_params = SamplingParams(max_tokens=10)
+        request = GenerationRequest(prompt_token_ids=[3, 4, 5],
+                                    sampling_params=sampling_params)
+        with FakeWorker(engine=model_path) as worker:
+            print(f"Created engine: {worker.engine}")
+            result = worker.submit(request)
+
+            # For PyTorch backend, the engine handles requests internally
+            # We just need to give it some time to process
+            timeout = 15.0  # 15 seconds timeout
+            start_time = time.time()
+
+            while not result.finished and (time.time() - start_time) < timeout:
+                # Call await_responses with timeout to prevent hanging
+                responses = worker.await_responses(timeout=0.5)
+                time.sleep(0.1)
+
+            if not result.finished:
+                print(f"Request did not complete within {timeout} seconds")
+            else:
+                print(f"Request completed successfully")
+                print(f"Result: {result}")
+
+    def test_fetch_stats(self):
+        request = GenerationRequest(
+            prompt_token_ids=[3, 4, 5],
+            sampling_params=SamplingParams(max_tokens=10))
+        with FakeWorker(engine=model_path) as worker:
+            result = worker.submit(request)
+
+            # Give the engine time to start processing
+            time.sleep(1)
+
+            # Fetch stats while request is processing
+            stats = worker.fetch_stats()
+            print(f"Stats: {stats}")
+
+            # Continue processing until completion or timeout
+            timeout = 10.0
+            start_time = time.time()
+            while not result.finished and (time.time() - start_time) < timeout:
+                worker.await_responses(timeout=0.5)
+                time.sleep(0.1)
+
+    @pytest.mark.parametrize("timeout", [0.1, 0.2, 1])
+    def test_fetch_responses_timeout(self, timeout: float):
+        with FakeWorker(engine=model_path) as worker:
+            # Not submit any request, and let the await_responses timeout.
+            start_time = time.time()
+            results = worker.await_responses(timeout=timeout)
+            elapsed = time.time() - start_time
+            print(f"await_responses latency: {elapsed:.3f} seconds")
+            assert timeout / 2 <= elapsed <= timeout * 2, f"Latency out of expected range: {elapsed}"
+
+
+def create_fake_executor_config(model_path, tp_size=1):
+    # Use TorchLlmArgs for PyTorch backend tests
+    llm_args = TorchLlmArgs(model=model_path,
+                            tensor_parallel_size=tp_size,
+                            backend='pytorch')
+
+    executor_config = tllm.ExecutorConfig(1)
+    executor_config.max_batch_size = 1
+    executor_config.model_world_size = tp_size
+
+    update_executor_config(
+        executor_config,
+        pytorch_backend_config=llm_args.get_pytorch_backend_config(),
+        mapping=llm_args.parallel_config.to_mapping(),
+        speculative_config=llm_args.speculative_config,
+        hf_model_dir=model_path,
+        max_input_len=20,
+        max_seq_len=40,
+        checkpoint_format=llm_args.checkpoint_format,
+        checkpoint_loader=llm_args.checkpoint_loader,
+    )
+
+    return llm_args, executor_config
+
+
+class TestRpcWorkerBaseTP2:
+
+    def setup_method(self):
+        # Use TorchLlmArgs for PyTorch backend with TP2
+        self.llm_args = TorchLlmArgs(model=model_path,
+                                     tensor_parallel_size=2,
+                                     backend='pytorch')
+        self.session = self.create_worker_session()
+
+    def create_worker_session(self):
+        session = MpiPoolSession(n_workers=2)
+        return session
+
+    def test_create_executor(self):
+        futures = self.session.submit(
+            TestRpcWorkerBaseTP2.create_executor,
+            engine=model_path,
+            llm_args=self.llm_args,
+        )
+        # Wait for completion
+        for future in futures:
+            future.result()
+
+        self.session.shutdown()
+
+    @staticmethod
+    def create_executor(engine, llm_args):
+        rank = mpi_rank()
+        world_size = mpi_world_size()
+        device_id = rank % torch.cuda.device_count()
+        torch.cuda.set_device(device_id)
+
+        print(f"[Test] Rank {rank}/{world_size} using device {device_id}")
+
+        # Synchronize all workers before creating executor
+        mpi_comm().barrier()
+
+        print(f"[Test] Rank {rank} creating FakeWorker...")
+        executor = FakeWorker(engine=engine, tp_size=2)
+
+        # Note: setup_engine is already called in FakeWorker.__init__
+        print(
+            f"[Test] Rank {rank} FakeWorker created and setup_engine completed successfully"
+        )
+
+        executor.shutdown()
+
+
+if __name__ == "__main__":
+    test_worker_base = TestWorkerBase()
+    test_worker_base.test_submit_request()

From 897c4dd23ba5b016b5f948d3c4a2437002c523fc Mon Sep 17 00:00:00 2001
From: Ziyi Xiong <219238287+ziyixiong-nv@users.noreply.github.com>
Date: Sun, 21 Sep 2025 08:20:48 +0800
Subject: [PATCH 41/76] [https://nvbugs/5517404][fix] Use the correct cuda
 graph for dynamic spec dec (#7728)

Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>
---
 .../_torch/pyexecutor/cuda_graph_runner.py    |   9 +-
 .../_torch/pyexecutor/model_engine.py         |   2 -
 tensorrt_llm/_torch/pyexecutor/py_executor.py |  58 ++++---
 .../_torch/pyexecutor/py_executor_creator.py  |   7 +-
 tensorrt_llm/_torch/pyexecutor/sampler.py     |   3 +
 .../_torch/speculative/model_drafter.py       |  12 +-
 tests/unittest/_torch/helpers.py              |   1 +
 .../speculative/test_dynamic_spec_decode.py   |  64 +++++---
 .../_torch/speculative/test_eagle3.py         | 147 ++++++++++--------
 9 files changed, 174 insertions(+), 129 deletions(-)

diff --git a/tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py b/tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py
index 8affdf55542..28af81547d1 100644
--- a/tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py
+++ b/tensorrt_llm/_torch/pyexecutor/cuda_graph_runner.py
@@ -40,9 +40,6 @@ def __init__(self, engine: "PyTorchModelEngine"):
         self.max_beam_width = engine.max_beam_width
         self.spec_config = engine.spec_config
 
-        self.max_possible_draft_len = (self.spec_config.max_draft_len
-                                       if self.enable_spec_decode else 0)
-
         self.graphs: Dict[Tuple[int, int], torch.cuda.CUDAGraph] = {}
         self.graph_outputs: Dict[Tuple[int, int],
                                  Callable[[], Optional[torch.Tensor]]] = {}
@@ -58,7 +55,7 @@ def _create_shared_static_tensors(self):
         """Allocates static tensors sized for the largest possible batch."""
         engine = self._get_engine()
 
-        token_per_request = self.max_possible_draft_len + 1
+        token_per_request = self.draft_len + 1
         max_total_tokens = (self.max_supported_batch_size *
                             self.max_beam_width * token_per_request)
         max_total_tokens = min(max_total_tokens, engine.max_num_tokens)
@@ -78,7 +75,7 @@ def _create_shared_static_tensors(self):
 
     @property
     def enable_spec_decode(self):
-        return self._get_engine().is_spec_decode
+        return self._get_engine().enable_spec_decode
 
     @property
     def draft_len(self):
@@ -174,7 +171,7 @@ def capture(self,
         # [CUDA graph spec decode padding]
         # We pad input IDs/position IDs to the maximum draft length (token per request).
         # We're forced to do this because we cannot reallocate inputs over many graph runs.
-        token_per_request = self.max_possible_draft_len + 1
+        token_per_request = self.draft_len + 1
         num_tokens_for_capture = (batch_size * self.max_beam_width *
                                   token_per_request)
 
diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py
index 5281a7de888..cb6aba43500 100644
--- a/tensorrt_llm/_torch/pyexecutor/model_engine.py
+++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py
@@ -1511,7 +1511,6 @@ def _prepare_tp_inputs(
                     prompt_lengths.append(1 + self.runtime_draft_len)
                 else:
                     prompt_lengths.append(request.py_prompt_len)
-
         for request in generation_requests:
             request_ids.append(request.py_request_id)
             beam_width = request.sampling_config.beam_width
@@ -1534,7 +1533,6 @@ def _prepare_tp_inputs(
                     if beam == first_beam:
                         previous_batch_indices.append(request.py_batch_idx)
                     past_seen_token_num = request.max_beam_num_tokens
-
                 position_ids.append(past_seen_token_num)
                 num_cached_tokens_per_seq.append(past_seen_token_num)
                 prompt_lengths.append(request.py_prompt_len)
diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor.py b/tensorrt_llm/_torch/pyexecutor/py_executor.py
index 7fa7339e61b..40dd9f9b071 100644
--- a/tensorrt_llm/_torch/pyexecutor/py_executor.py
+++ b/tensorrt_llm/_torch/pyexecutor/py_executor.py
@@ -1198,13 +1198,18 @@ def _executor_loop_overlap(self):
                     previous_tensors = self.previous_batch and self.previous_batch.sample_state
                     target_inputs = None
                     draft_outputs = None
-                    if self.drafter is not None and self.use_spec_decode:
+                    # If there are previous draft tokens, we need to update the target requests to accept some draft tokens.
+                    # When there's any accepted tokens, we can't directly use the previous batch's outputs in this iteration for the target model,
+                    # so we'll set the target model's input to None and skip updating the target requests after target model forward.
+                    use_previous_draft_tokens = self.has_previous_draft_tokens
+                    if self.drafter is not None and (self.use_spec_decode or
+                                                     use_previous_draft_tokens):
                         target_inputs, draft_outputs, draft_batch = self._handle_speculative_decoding(
                             scheduled_batch, previous_tensors)
 
                     # Use the draft_model's outputs if we've launched the draft model.
                     # Otherwise, use the previous batch's outputs.
-                    if target_inputs is not None:
+                    if target_inputs is not None or use_previous_draft_tokens:
                         previous_tensors_device = target_inputs
                     else:
                         previous_tensors_device = self.previous_batch and self.previous_batch.sample_state and self.previous_batch.sample_state.device
@@ -1215,7 +1220,7 @@ def _executor_loop_overlap(self):
                     if target_inputs is not None:
                         self._process_draft_results(scheduled_batch,
                                                     draft_outputs, draft_batch)
-                    elif self.previous_batch is not None:
+                    elif self.previous_batch is not None and not use_previous_draft_tokens:
                         self._update_requests(self.previous_batch.sample_state)
 
                     if self.guided_decoder is not None:
@@ -1968,19 +1973,21 @@ def _remove_inflight_ids(self, scheduled_requests):
             self.inflight_req_ids.erase(req.request_id)
 
     def _handle_speculative_decoding(self, scheduled_batch, previous_tensors):
-        with request_context(is_draft=True, scheduled_requests=scheduled_batch):
+        with request_context(is_draft=self.draft_model_engine is not None,
+                             scheduled_requests=scheduled_batch):
             # Do an early checking to see if we need to forward the draft model.
             # If needed, the overlap should happen between the target requests and the draft requests.
             # Otherwise, we can still do overlap between the previous target requests and the current target requests.
             has_draft_batch = (
-                self.previous_batch is not None
+                self.previous_batch is not None and self.use_spec_decode
                 and self.drafter.should_forward_draft_model(scheduled_batch))
 
-            if has_draft_batch:
+            if has_draft_batch or self.has_previous_draft_tokens:
                 self._update_requests(self.previous_batch.sample_state)
                 if self.has_previous_draft_tokens:
                     self._prepare_draft_requests()
 
+            if has_draft_batch:
                 target_inputs, draft_outputs, draft_batch = self.drafter.generate_draft_tokens_with_overlap(
                     scheduled_batch, self.resource_manager,
                     previous_tensors.device if previous_tensors else None)
@@ -1997,26 +2004,27 @@ def _process_draft_results(self, scheduled_batch, draft_outputs,
         """
         Append the draft tokens to the target requests, and clean up the draft resources.
         """
-        req_id_to_old_request = {
-            req.py_request_id: req
-            for req in scheduled_batch.all_requests()
-        }
+        with request_context(is_draft=self.draft_model_engine is not None,
+                             scheduled_requests=scheduled_batch):
+            req_id_to_old_request = {
+                req.py_request_id: req
+                for req in scheduled_batch.all_requests()
+            }
 
-        if self.drafter.use_static_draft_loop:
-            self.drafter.process_static_draft_outputs(draft_outputs,
-                                                      draft_batch,
-                                                      req_id_to_old_request)
-        elif draft_outputs is not None:
-            self.drafter.process_dynamic_draft_outputs(draft_outputs,
-                                                       req_id_to_old_request)
-
-        # Pad draft tokens to the max draft length. This is for CUDA graph compatibility.
-        self.drafter.pad_draft_tokens_for_cuda_graph(scheduled_batch)
-        # add_batch must be called again to restore to target requests with updated draft tokens.
-        if self.guided_decoder is not None:
-            self.guided_decoder.add_batch(scheduled_batch)
-            if hasattr(self.drafter, "guided_decoder"):
-                self.guided_decoder.rollback_draft_tokens()
+            if self.drafter.use_static_draft_loop:
+                self.drafter.process_static_draft_outputs(
+                    draft_outputs, draft_batch, req_id_to_old_request)
+            elif draft_outputs is not None:
+                self.drafter.process_dynamic_draft_outputs(
+                    draft_outputs, req_id_to_old_request)
+
+            # Pad draft tokens to the max draft length. This is for CUDA graph compatibility.
+            self.drafter.pad_draft_tokens_for_cuda_graph(scheduled_batch)
+            # add_batch must be called again to restore to target requests with updated draft tokens.
+            if self.guided_decoder is not None:
+                self.guided_decoder.add_batch(scheduled_batch)
+                if hasattr(self.drafter, "guided_decoder"):
+                    self.guided_decoder.rollback_draft_tokens()
 
 
 class DisaggPPTerminationHandler:
diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
index 1de7d18e222..5f97e2e37af 100644
--- a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
+++ b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
@@ -41,11 +41,10 @@
 from .py_executor import PyExecutor
 
 
-# Development flag to control chain drafter feature
+# Development function to control chain drafter feature.
+# It's here so that unit tests can mock it and turn it off.
 def _get_allow_chain_drafter() -> bool:
-    """Get the chain drafter flag from environment variable."""
-    # Use environment variable for cross-process compatibility
-    return os.getenv("TRTLLM_ALLOW_CHAIN_DRAFTER", "0") == "1"
+    return True
 
 
 class _ExecutorCreationStage(enum.Enum):
diff --git a/tensorrt_llm/_torch/pyexecutor/sampler.py b/tensorrt_llm/_torch/pyexecutor/sampler.py
index d2ee22a214c..e65c487f74d 100644
--- a/tensorrt_llm/_torch/pyexecutor/sampler.py
+++ b/tensorrt_llm/_torch/pyexecutor/sampler.py
@@ -563,6 +563,9 @@ def update_requests(self, state: SampleState) -> None:
             if get_draft_token_length(req) > 0:
                 req.py_num_accepted_draft_tokens = num_accepted
                 req.py_rewind_len = req.py_draft_pages_allocated - num_accepted
+            else:
+                req.py_num_accepted_draft_tokens = 0
+                req.py_rewind_len = 0
             processed += num_accepted
             self.handle_logprobs(req, state, beam=self.BEAM, count=processed)
             req.py_decoding_iter += 1
diff --git a/tensorrt_llm/_torch/speculative/model_drafter.py b/tensorrt_llm/_torch/speculative/model_drafter.py
index 0627492631a..5e2080c1d71 100644
--- a/tensorrt_llm/_torch/speculative/model_drafter.py
+++ b/tensorrt_llm/_torch/speculative/model_drafter.py
@@ -396,6 +396,7 @@ def _convert_draft_tensors(
         new_tokens_lens = None
         next_draft_tokens = None
         has_draft_tokens = False
+        batch_size = new_tokens.shape[1]
         # Iterate through generation requests and copy tokens based on accepted draft tokens
         for request in scheduled_batch.all_requests():
             idx = request.py_seq_slot
@@ -411,9 +412,8 @@ def _convert_draft_tensors(
 
         if has_draft_tokens:
             # We already updated the target state, so the new_tokens_lens should be all ones.
-            new_tokens_lens = torch.ones(scheduled_batch.batch_size,
-                                         device=device)
-            next_draft_tokens = torch.zeros(scheduled_batch.batch_size,
+            new_tokens_lens = torch.ones(batch_size, device=device)
+            next_draft_tokens = torch.zeros(batch_size,
                                             self.max_draft_tokens,
                                             device=device)
 
@@ -438,15 +438,15 @@ def _update_target_inputs_with_draft_tokens(
         Update target inputs with new draft tokens from sample state.
         """
         if draft_tensors is not None:
-            for request in draft_batch.all_requests():
+            for req_idx, request in enumerate(draft_batch.all_requests()):
                 # Skip prefill requests
                 if target_inputs.next_draft_tokens is None:
                     continue
 
                 # Get the index of the draft/target tokens in the device tensor
-                draft_idx = request.py_seq_slot
+                draft_idx = req_idx if self.use_static_draft_loop else request.py_batch_idx
                 target_idx = req_id_to_old_request[
-                    request.py_request_id].py_seq_slot
+                    request.py_request_id].py_batch_idx
                 target_inputs.new_tokens[draft_position + 1:draft_position +
                                          draft_length + 1, target_idx,
                                          0] = draft_tensors[0:draft_length,
diff --git a/tests/unittest/_torch/helpers.py b/tests/unittest/_torch/helpers.py
index a98d7d6cd7d..18a30242faa 100644
--- a/tests/unittest/_torch/helpers.py
+++ b/tests/unittest/_torch/helpers.py
@@ -188,6 +188,7 @@ def create_mock_engine(batch_size: int):
         max_beam_width=1,
         max_num_tokens=8192,
         is_spec_decode=False,
+        enable_spec_decode=False,
         spec_config=None,
         _cuda_graph_mem_pool=None,
         use_mrope=False,
diff --git a/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py b/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py
index cdf48cfea57..0c6cc35eaff 100644
--- a/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py
+++ b/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py
@@ -1,22 +1,32 @@
 import os
 import sys
 import unittest
-from unittest.mock import patch
+from unittest.mock import Mock, patch
 
 import pytest
 import torch
 from utils.llm_data import llm_models_root
 
 from tensorrt_llm import LLM, SamplingParams
+from tensorrt_llm._torch.pyexecutor.llm_request import LlmRequestState
 from tensorrt_llm.llmapi import (CudaGraphConfig, EagleDecodingConfig,
                                  KvCacheConfig)
 
 sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
 
 
+@pytest.fixture(scope="function")
+def enforce_single_worker(monkeypatch):
+    monkeypatch.setenv("TLLM_WORKER_USE_SINGLE_PROCESS", "1")
+    yield
+
+
 @pytest.mark.parametrize("disable_overlap_scheduler", [True, False])
 @pytest.mark.high_cuda_memory
-def test_dynamic_spec_decode(disable_overlap_scheduler: bool):
+def test_dynamic_spec_decode(enforce_single_worker,
+                             disable_overlap_scheduler: bool):
+    # mock_should_use_spec_decode doesn't work with multiple processes,
+    # so we use the enforce_single_worker fixture to set the environment variable.
     total_mem_gb = torch.cuda.get_device_properties(0).total_memory / 1e9
     if total_mem_gb < 35:
         pytest.skip("Not enough memory to load target + draft model")
@@ -51,32 +61,42 @@ def test_dynamic_spec_decode(disable_overlap_scheduler: bool):
         eagle3_one_model=False,
     )
 
-    # Mock should_use_spec_decode to return True for first two calls, then False
+    llm_spec = LLM(**llm_common_config, speculative_config=spec_config)
+    sampling_params = SamplingParams(max_tokens=128, temperature=0)
+
+    # Output tests
+    prompts = [
+        "The president of the United States is",
+    ]
+    sampling_params = SamplingParams(max_tokens=20, temperature=0)
+
+    # Mock should_use_spec_decode to turn on/off spec decode dynamically.
     def mock_should_use_spec_decode(requests, max_batch_size, max_num_tokens,
                                     max_draft_len):
-        if not hasattr(mock_should_use_spec_decode, 'call_count'):
-            mock_should_use_spec_decode.call_count = 0
-        mock_should_use_spec_decode.call_count += 1
-        return mock_should_use_spec_decode.call_count <= 2
+        for req in requests:
+            if req.state != LlmRequestState.GENERATION_IN_PROGRESS:
+                continue
+
+            mock_should_use_spec_decode.call_count += 1
+            # Turn off spec decode when we've called it 5 times.
+            # In the current case, at the 5th call, there are 2 accepted draft tokens,
+            # so we can have better coverage for the switching between spec decode on and off.
+            if mock_should_use_spec_decode.call_count > 5:
+                return False
+        return True
+
+    # Create a Mock object with the mock function as side_effect
+    mock_should_use_spec_decode = Mock(side_effect=mock_should_use_spec_decode)
+    # Reset mock state before using it
+    mock_should_use_spec_decode.reset_mock()
+    mock_should_use_spec_decode.call_count = 0
 
     with patch(
             'tensorrt_llm._torch.speculative.model_drafter.ModelDrafter.should_use_spec_decode',
-            side_effect=mock_should_use_spec_decode):
-        llm_spec = LLM(**llm_common_config, speculative_config=spec_config)
-        sampling_params = SamplingParams(max_tokens=128, temperature=0)
-
-        # Output tests
-        prompts = [
-            "The capital of France is",
-            "The president of the United States is",
-        ]
-        sampling_params = SamplingParams(max_tokens=10, temperature=0)
-
+            mock_should_use_spec_decode):
         results_spec = llm_spec.generate(prompts, sampling_params)
-        generated_text_spec = [
-            result.outputs[0].text for result in results_spec
-        ]
-        llm_spec.shutdown()
+    generated_text_spec = [result.outputs[0].text for result in results_spec]
+    llm_spec.shutdown()
 
     llm_ref = LLM(**llm_common_config)
     results_ref = llm_ref.generate(prompts, sampling_params)
diff --git a/tests/unittest/_torch/speculative/test_eagle3.py b/tests/unittest/_torch/speculative/test_eagle3.py
index fbd5e93e9d9..0d3e8aa897c 100644
--- a/tests/unittest/_torch/speculative/test_eagle3.py
+++ b/tests/unittest/_torch/speculative/test_eagle3.py
@@ -4,6 +4,7 @@
 import tempfile
 import unittest
 from pathlib import Path
+from unittest.mock import patch
 
 import pytest
 import torch
@@ -16,35 +17,50 @@
 sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
 
 
+@pytest.fixture(scope="function")
+def enforce_single_worker(monkeypatch):
+    monkeypatch.setenv("TLLM_WORKER_USE_SINGLE_PROCESS", "1")
+    yield
+
+
 @pytest.mark.parametrize(
-    "use_cuda_graph,attn_backend,disable_overlap_scheduler,enable_block_reuse,use_one_model,enable_chunked_prefill,use_chain_drafter",
+    "use_cuda_graph,attn_backend,disable_overlap_scheduler,enable_block_reuse,use_one_model,enable_chunked_prefill,use_chain_drafter,multi_batch",
     [
-        [True, "TRTLLM", True, False, False, False, True],
-        [True, "TRTLLM", True, False, False, False, False],
-        [False, "TRTLLM", True, False, False, False, True],
-        [False, "TRTLLM", True, False, False, False, False],
-        [True, "FLASHINFER", True, False, False, False, True],
-        [False, "FLASHINFER", True, False, False, False, True],
-        [False, "TRTLLM", False, True, True, False, True],
-        [True, "TRTLLM", False, True, True, False, True],
-        [True, "TRTLLM", True, False, True, True, True],
-        [True, "TRTLLM", True, False, True, False, True],
+        [True, "TRTLLM", True, False, False, False, True, False],
+        [True, "TRTLLM", True, False, False, False, False, False],
+        [False, "TRTLLM", True, False, False, False, True, False],
+        [False, "TRTLLM", True, False, False, False, False, False],
+        [True, "FLASHINFER", True, False, False, False, True, False],
+        [False, "FLASHINFER", True, False, False, False, True, False],
+        [False, "TRTLLM", False, True, True, False, True, False],
+        [True, "TRTLLM", False, True, True, False, True, False],
+        [True, "TRTLLM", True, False, True, True, True, False],
+        [True, "TRTLLM", True, False, True, False, True, False],
         # TODO: nvbugs/5461761
-        # [True, "TRTLLM", True, False, False, True, True],
-        [True, "TRTLLM", False, False, False, False, True],
-        [False, "TRTLLM", False, False, False, False, True],
-        [True, "TRTLLM", False, False, False, False, False],
-        [False, "TRTLLM", False, False, False, False, False],
-        [True, "TRTLLM", False, False, False, True, True],
-        [True, "TRTLLM", False, False, False, True, False],
-        [True, "FLASHINFER", False, False, False, False, True],
-        [False, "FLASHINFER", False, False, False, False, True],
+        # [True, "TRTLLM", True, False, False, True, True, False],
+        [True, "TRTLLM", False, False, False, False, True, False],
+        [False, "TRTLLM", False, False, False, False, True, False],
+        [True, "TRTLLM", False, False, False, False, False, True],
+        [False, "TRTLLM", False, False, False, False, False, True],
+        [True, "TRTLLM", False, False, False, False, True, True],
+        [False, "TRTLLM", False, False, False, False, True, True],
+        [True, "TRTLLM", False, False, False, False, False, False],
+        [False, "TRTLLM", False, False, False, False, False, False],
+        [True, "TRTLLM", False, False, False, True, True, False],
+        [True, "TRTLLM", False, False, False, True, False, False],
+        [True, "FLASHINFER", False, False, False, False, True, False],
+        [False, "FLASHINFER", False, False, False, False, True, False],
     ])
 @pytest.mark.high_cuda_memory
 def test_llama_eagle3(use_cuda_graph: bool, attn_backend: str,
                       disable_overlap_scheduler: bool, enable_block_reuse: bool,
                       use_one_model: bool, enable_chunked_prefill: bool,
-                      use_chain_drafter: bool):
+                      use_chain_drafter: bool, multi_batch: bool, request):
+    # Use enforce_single_worker fixture only when use_chain_drafter is False.
+    # Otherwise, we can't modify the returned value of _get_allow_chain_drafter in multiprocessing.
+    if not use_chain_drafter:
+        request.getfixturevalue('enforce_single_worker')
+
     # Eagle3 one model works with overlap scheduler and block reuse.
     total_mem_gb = torch.cuda.get_device_properties(0).total_memory / 1e9
     if total_mem_gb < 35:
@@ -54,46 +70,52 @@ def test_llama_eagle3(use_cuda_graph: bool, attn_backend: str,
     eagle_model_dir = f"{models_path}/EAGLE3-LLaMA3.1-Instruct-8B"
     target_model_dir = f"{models_path}/llama-3.1-model/Llama-3.1-8B-Instruct"
 
-    # bs > 1 gives non-deterministic when doing IFB. There are slight chances
-    # that ref and spec does not match 100%
-    max_batch_size = 1
-    max_draft_len = 4
-    kv_cache_config = KvCacheConfig(enable_block_reuse=enable_block_reuse,
-                                    max_tokens=8192)
-    cuda_graph_config = CudaGraphConfig(
-        batch_sizes=[1]) if use_cuda_graph else None
-
-    llm_common_config = dict(
-        model=target_model_dir,
-        attn_backend=attn_backend,
-        disable_overlap_scheduler=disable_overlap_scheduler,
-        cuda_graph_config=cuda_graph_config,
-        max_batch_size=max_batch_size,
-        kv_cache_config=kv_cache_config,
-        # This max_seq_len is larger than the one specified
-        # in the llama 3 8B eagle's config. We want to make sure
-        # that the draft model won't go above its max in warmup
-        # in this test.
-        max_seq_len=8192,
-        enable_chunked_prefill=enable_chunked_prefill,
-    )
-    if enable_chunked_prefill:
-        # Use a small max_num_tokens so that the chunked prefill path gets exercised.
-        llm_common_config['max_num_tokens'] = 64
-
-    spec_config = EagleDecodingConfig(
-        max_draft_len=max_draft_len,
-        speculative_model_dir=eagle_model_dir,
-        # Llama 3 does not support one model eagle.
-        eagle3_one_model=use_one_model,
-    )
-
-    # Set the development flag to control use_chain_drafter behavior
-    original_env_value = os.environ.get("TRTLLM_ALLOW_CHAIN_DRAFTER", "0")
-    try:
-        os.environ[
-            "TRTLLM_ALLOW_CHAIN_DRAFTER"] = "1" if use_chain_drafter else "0"
-        # Create the LLM instance with the mocked flag controlling use_chain_drafter
+    # Mock _get_allow_chain_drafter to return False when use_chain_drafter is False
+    if not use_chain_drafter:
+        patch_context = patch(
+            'tensorrt_llm._torch.pyexecutor.py_executor_creator._get_allow_chain_drafter',
+            return_value=False)
+    else:
+        patch_context = patch(
+            'tensorrt_llm._torch.pyexecutor.py_executor_creator._get_allow_chain_drafter',
+            return_value=True)
+
+    with patch_context:
+        # bs > 1 gives non-deterministic when doing IFB. There are slight chances
+        # that ref and spec does not match 100%
+        max_batch_size = 4 if multi_batch else 1
+        max_draft_len = 4
+        kv_cache_config = KvCacheConfig(enable_block_reuse=enable_block_reuse,
+                                        max_tokens=8192)
+        cuda_graph_config = CudaGraphConfig(
+            batch_sizes=[1]) if use_cuda_graph else None
+
+        llm_common_config = dict(
+            model=target_model_dir,
+            attn_backend=attn_backend,
+            disable_overlap_scheduler=disable_overlap_scheduler,
+            cuda_graph_config=cuda_graph_config,
+            max_batch_size=max_batch_size,
+            kv_cache_config=kv_cache_config,
+            # This max_seq_len is larger than the one specified
+            # in the llama 3 8B eagle's config. We want to make sure
+            # that the draft model won't go above its max in warmup
+            # in this test.
+            max_seq_len=8192,
+            enable_chunked_prefill=enable_chunked_prefill,
+        )
+        if enable_chunked_prefill:
+            # Use a small max_num_tokens so that the chunked prefill path gets exercised.
+            llm_common_config['max_num_tokens'] = 64
+
+        spec_config = EagleDecodingConfig(
+            max_draft_len=max_draft_len,
+            speculative_model_dir=eagle_model_dir,
+            # Llama 3 does not support one model eagle.
+            eagle3_one_model=use_one_model,
+        )
+
+        # Create the LLM instance
         llm_spec = LLM(**llm_common_config, speculative_config=spec_config)
 
         # Acceptance rate tests
@@ -142,9 +164,6 @@ def test_llama_eagle3(use_cuda_graph: bool, attn_backend: str,
         for text_spec, text_ref in zip(generated_text_spec, generated_text_ref):
             # The spec decode algorithm currently guarantees identical results
             assert text_spec == text_ref
-    finally:
-        # Restore the original environment variable value
-        os.environ["TRTLLM_ALLOW_CHAIN_DRAFTER"] = original_env_value
 
 
 def test_deepseek_eagle3():

From 822cb0115b2f733287c8dc16c6bc060edad85e87 Mon Sep 17 00:00:00 2001
From: xiweny <13230610+VALLIS-NERIA@users.noreply.github.com>
Date: Sun, 21 Sep 2025 11:38:17 +0800
Subject: [PATCH 42/76] [TRTLLM-6286] [perf] Add NoSmem epilogue schedule and
 dynamic cluster shape for sm10x group gemm (#7757)

Signed-off-by: Xiwen Yu <13230610+VALLIS-NERIA@users.noreply.github.com>
Signed-off-by: djns99 <40156487+djns99@users.noreply.github.com>
Co-authored-by: djns99 <40156487+djns99@users.noreply.github.com>
---
 .../mixtureOfExpertsBackendBenchmarkFixture.h |  38 +++--
 .../gemm/kernel/fused_moe_kernel.cuh          |   4 +-
 .../gemm/kernel/fused_moe_kernel_routine.cuh  |   4 +-
 .../gemm/kernel/fused_moe_kernel_traits.cuh   |   4 +-
 .../kernels/cutlass_kernels/CMakeLists.txt    |   4 +-
 .../cutlass_kernels/cutlass_heuristic.cpp     |  36 ++---
 .../fused_moe_gemm_launcher_sm80.inl          |  16 +-
 .../launchers/moe_gemm_tma_ws_launcher.inl    |  35 +++--
 .../moe_gemm/moe_gemm_template_dispatch.h     |  88 ++++++-----
 .../moe_gemm_template_dispatch_tma_ws.h       |  21 +--
 .../cutlass_kernels/moe_gemm/moe_kernels.cu   |  20 +++
 .../kernels/mixtureOfExpertsTest.cu           | 139 +++++++++++++-----
 12 files changed, 256 insertions(+), 153 deletions(-)

diff --git a/cpp/micro_benchmarks/mixtureOfExpertsBackendBenchmarkFixture.h b/cpp/micro_benchmarks/mixtureOfExpertsBackendBenchmarkFixture.h
index a6bdada5aee..b54aec1073c 100644
--- a/cpp/micro_benchmarks/mixtureOfExpertsBackendBenchmarkFixture.h
+++ b/cpp/micro_benchmarks/mixtureOfExpertsBackendBenchmarkFixture.h
@@ -549,6 +549,9 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
     ActivationType mActType = ActivationType::Relu;
 
     constexpr static int64_t NUM_BUFFERS = 32;
+    int64_t mNumWorkspaceBuffers = NUM_BUFFERS;
+    int64_t mNumInputBuffers = NUM_BUFFERS;
+    int64_t mNumGemmProfilerBuffers = NUM_BUFFERS;
 
     std::array<QuantParams, NUM_BUFFERS> mQuantParams{};
     bool mUseLora = false;
@@ -619,12 +622,12 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
 
         if (gemm_to_profile == GemmToProfile::LAYER)
         {
-
             mWorkspaceSize = mMoERunner.getWorkspaceSize(mTotalTokens, mHiddenSize, mInterSize, mNumExperts, mK,
                 mActType, parallelism_config, mUseLora, /*use_deepseek_fp8_block_scale=*/false,
                 /*min_latency_mode=*/false, mUsePrequantScale);
 
-            mWorkspace = allocBuffer<char>(mWorkspaceSize * NUM_BUFFERS);
+            mNumWorkspaceBuffers = mWorkspaceSize > 1024 * 1024 * 1024 ? 2 : NUM_BUFFERS;
+            mWorkspace = allocBuffer<char>(mWorkspaceSize * mNumWorkspaceBuffers);
 
             mExpertBias1 = nullptr;
             mExpertBias2 = nullptr;
@@ -690,9 +693,10 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
             mScaleProbsSize = padSize(mTotalTokens * mK);
             mScaleProbs = allocBuffer<float>(mScaleProbsSize * NUM_BUFFERS);
             mInputTensorSize = padSize(mTotalTokens * mHiddenSize);
-            mInputTensor = allocBuffer<DataType>(mInputTensorSize * NUM_BUFFERS);
+            mNumInputBuffers = mInputTensorSize > 1024 * 1024 * 1024 ? 2 : NUM_BUFFERS;
+            mInputTensor = allocBuffer<DataType>(mInputTensorSize * mNumInputBuffers);
             mFinalOutputSize = padSize(mTotalTokens * mHiddenSize);
-            mFinalOutput = allocBuffer<OutputType>(mFinalOutputSize * NUM_BUFFERS);
+            mFinalOutput = allocBuffer<OutputType>(mFinalOutputSize * mNumInputBuffers);
 
             mSourceToExpandedMapSize = padSize(mTotalTokens * mK);
             mSourceToExpandedMap = allocBuffer<int>(mSourceToExpandedMapSize * NUM_BUFFERS);
@@ -732,10 +736,11 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
                 = std::max(mGemmProfilerWorkspaceSize, mGemmProfilerBackend.getWorkspaceSize(mTotalTokens));
         }
 
-        int64_t num_gemm_buffers = gemm_to_profile == GemmToProfile::LAYER ? 1 : NUM_BUFFERS;
         mGemmProfilerWorkspaceSize = padSize(mGemmProfilerWorkspaceSize);
+        mNumGemmProfilerBuffers = mGemmProfilerWorkspaceSize > 1024 * 1024 * 1024 ? 2 : NUM_BUFFERS;
+        mNumGemmProfilerBuffers = gemm_to_profile == GemmToProfile::LAYER ? 1 : mNumGemmProfilerBuffers;
         mGemmProfilerWorkspace = mGemmProfilerWorkspaceSize > 0
-            ? allocBuffer<char>(mGemmProfilerWorkspaceSize * num_gemm_buffers)
+            ? allocBuffer<char>(mGemmProfilerWorkspaceSize * mNumGemmProfilerBuffers)
             : nullptr;
 
         check_cuda_error(cudaStreamSynchronize(streamPtr->get()));
@@ -748,7 +753,8 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
         mGemmProfilerBackend.mGemmToProfile = static_cast<GemmProfilerBackend::GemmToProfile>(gemm_to_profile);
         auto* expert_weights = gemm_to_profile == GemmToProfile::GEMM_1 ? mExpertWeight1 : mExpertWeight2;
         auto expert_weights_size = gemm_to_profile == GemmToProfile::GEMM_1 ? mExpertWeight1Size : mExpertWeight2Size;
-        mGemmProfilerBackend.prepare(mTotalTokens, mGemmProfilerWorkspace + mGemmProfilerWorkspaceSize * mBufferIndex,
+        mGemmProfilerBackend.prepare(mTotalTokens,
+            mGemmProfilerWorkspace + mGemmProfilerWorkspaceSize * (mBufferIndex % mNumGemmProfilerBuffers),
             /*expert_weights=*/expert_weights + expert_weights_size * mBufferIndex, streamPtr->get());
     }
 
@@ -865,7 +871,7 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
                 }
 
                 // Profile all samples or for 1 sec
-                int const max_iters = mGemmProfilerBackend.NUM_ROUTING_SAMPLES;
+                int const max_iters = mGemmProfilerBackend.NUM_ROUTING_SAMPLES * 2;
                 float const max_time_ms = 1000.f;
 
                 float time = 0.f;
@@ -974,7 +980,7 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
             }
             mGemmProfilerBackend.mSampleIndex = mBufferIndex % mGemmProfilerBackend.NUM_ROUTING_SAMPLES;
             mGemmProfilerBackend.runProfiler(mTotalTokens, tactics,
-                mGemmProfilerWorkspace + mGemmProfilerWorkspaceSize * mBufferIndex,
+                mGemmProfilerWorkspace + mGemmProfilerWorkspaceSize * (mBufferIndex % mNumGemmProfilerBuffers),
                 /*expert_weights=*/expert_weights + expert_weights_size * mBufferIndex, streamPtr->get());
             break;
         }
@@ -983,26 +989,28 @@ class MixtureOfExpertsBenchmark : public ::benchmark::Fixture
             auto stream = streamPtr->get();
             MoeMinLatencyParams min_latency_params;
 #ifdef USING_OSS_CUTLASS_MOE_GEMM
-            mMoERunner.runMoe(mInputTensor + mInputTensorSize * mBufferIndex, nullptr, true,
+            mMoERunner.runMoe(mInputTensor + mInputTensorSize * (mBufferIndex % mNumInputBuffers), nullptr, true,
                 mSelectedExperts + mSelectedExpertsSize * mBufferIndex,
                 mUseFinalScale ? mScaleProbs + mScaleProbsSize * mBufferIndex : nullptr,
                 mExpertWeight1 + mExpertWeight1Size * mBufferIndex, mExpertBias1 + mExpertBias1Size * mBufferIndex,
                 ActivationParams(mActType), mExpertWeight2 + mExpertWeight2Size * mBufferIndex,
                 mExpertBias2 + mExpertBias2Size * mBufferIndex, mQuantParams[mBufferIndex], mTotalTokens, mHiddenSize,
-                mHiddenSize, mInterSize, mNumExperts, mK, mWorkspace + mWorkspaceSize * mBufferIndex,
-                mFinalOutput + mFinalOutputSize * mBufferIndex,
+                mHiddenSize, mInterSize, mNumExperts, mK,
+                mWorkspace + mWorkspaceSize * (mBufferIndex % mNumWorkspaceBuffers),
+                mFinalOutput + mFinalOutputSize * (mBufferIndex % mNumInputBuffers),
                 mSourceToExpandedMap + mSourceToExpandedMapSize * mBufferIndex, parallelism_config,
                 /*enable_alltoall=*/false, mUseLora, mLoraParams[mBufferIndex],
                 /*use_fp8_block_scaling=*/false, /*min_latency_mode=*/false, min_latency_params, stream);
 #else
-            mMoERunner.runMoe(mInputTensor + mInputTensorSize * mBufferIndex, nullptr, true,
+            mMoERunner.runMoe(mInputTensor + mInputTensorSize * (mBufferIndex % mNumInputBuffers), nullptr, true,
                 mSelectedExperts + mSelectedExpertsSize * mBufferIndex,
                 mUseFinalScale ? mScaleProbs + mScaleProbsSize * mBufferIndex : nullptr,
                 mExpertWeight1 + mExpertWeight1Size * mBufferIndex, mExpertBias1 + mExpertBias1Size * mBufferIndex,
                 ActivationParams(mActType), mExpertWeight2 + mExpertWeight2Size * mBufferIndex,
                 mExpertBias2 + mExpertBias2Size * mBufferIndex, mQuantParams[mBufferIndex], mTotalTokens, mHiddenSize,
-                mHiddenSize, mInterSize, mNumExperts, mK, mWorkspace + mWorkspaceSize * mBufferIndex,
-                mFinalOutput + mFinalOutputSize * mBufferIndex,
+                mHiddenSize, mInterSize, mNumExperts, mK,
+                mWorkspace + mWorkspaceSize * (mBufferIndex % mNumWorkspaceBuffers),
+                mFinalOutput + mFinalOutputSize * (mBufferIndex % mNumInputBuffers),
                 mSourceToExpandedMap + mSourceToExpandedMapSize * mBufferIndex, parallelism_config,
                 /*enable_alltoall=*/false, mUseLora, mLoraParams[mBufferIndex],
                 /*use_fp8_block_scaling=*/false, /*min_latency_mode=*/false, min_latency_params, stream);
diff --git a/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel.cuh b/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel.cuh
index 1bd0a3f11a8..7617668576e 100644
--- a/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel.cuh
+++ b/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel.cuh
@@ -22,7 +22,7 @@
 #include <cutlass_extensions/gemm/kernel/fused_moe_kernel_traits.cuh>
 #include <cutlass_extensions/gemm/kernel/moe_problem_visitor.h>
 
-namespace fused_moe
+namespace fused_moe_oss
 {
 template <typename ElementInput_, typename ElementWeight_, typename ElementOutput_, int MaxTileM_, int TileN_,
     int TileK_, int Stages_, Activation_Type activation_type_>
@@ -215,4 +215,4 @@ static int fused_gemm_maximum_active_blocks(int smem_capacity = -1)
     CUTLASS_TRACE_HOST("  max_active_blocks: " << max_active_blocks);
     return max_active_blocks;
 }
-} // namespace fused_moe
+} // namespace fused_moe_oss
diff --git a/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_routine.cuh b/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_routine.cuh
index 1c3dd81f5e5..93055b31fba 100644
--- a/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_routine.cuh
+++ b/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_routine.cuh
@@ -18,7 +18,7 @@
 #pragma once
 #include <cutlass_extensions/gemm/kernel/fused_moe_kernel_traits.cuh>
 
-namespace fused_moe
+namespace fused_moe_oss
 {
 
 template <typename ElementInput_, typename ElementWeight_, typename ElementOutput_, int TileM_, int TileN_, int TileK_,
@@ -798,4 +798,4 @@ struct Fused_Moe_Kernel_routine_sm80<ElementInput_, ElementWeight_, ElementOutpu
     }
 };
 
-} // namespace fused_moe
+} // namespace fused_moe_oss
diff --git a/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_traits.cuh b/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_traits.cuh
index b4c90085dbb..0cfb59ebfdf 100644
--- a/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_traits.cuh
+++ b/cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/gemm/kernel/fused_moe_kernel_traits.cuh
@@ -22,7 +22,7 @@
 #include <cutlass_extensions/gemm/kernel/moe_cute_util.cuh>
 #include <cutlass_extensions/gemm/kernel/moe_problem_visitor.h>
 
-namespace fused_moe
+namespace fused_moe_oss
 {
 template <typename ElementInput, typename ElementWeight, typename ElementOutput>
 struct Routine_Arguments
@@ -212,4 +212,4 @@ struct Fused_Moe_Kernel_traits_sm80
 
     // #endif
 };
-} // namespace fused_moe
+} // namespace fused_moe_oss
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt b/cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
index bb8bc9ef211..3b541003315 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
@@ -138,8 +138,8 @@ function(add_instantiations library base_dir)
     endif()
   endmacro()
 
-  glob_src_create_target(80 "80;86;90;100f;120f") # we use 80 kernels to support
-                                                  # fp16 of all archs
+  glob_src_create_target(80 "80;86;90;100f;120f") # we use sm80 kernels to
+                                                  # support fp16 of all archs
   glob_src_create_target(90 90)
   glob_src_create_target(100 100f)
   glob_src_create_target(103 103)
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp b/cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp
index 83793a65089..e367e05ed72 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp
@@ -367,9 +367,9 @@ std::vector<CutlassGemmConfig> get_candidate_configs_sm90(CutlassGemmConfig::Can
     return candidate_configs;
 }
 
-std::vector<CutlassGemmConfig> get_candidate_configs_sm100_dynamic_cluster_shape(
+std::vector<CutlassGemmConfig> get_candidate_configs_sm100_dynamic_cluster_shape(int sm,
     CutlassGemmConfig::CandidateConfigTypeParam const config, EpilogueScheduleType schedule,
-    ClusterShape const dynamic_cluster_shape, ClusterShape const fallback_cluster_shape, int sm)
+    ClusterShape const dynamic_cluster_shape, ClusterShape const fallback_cluster_shape)
 {
     auto cluster1sm = ClusterShape::ClusterShape_1x1x1;
     auto cluster2sm = ClusterShape::ClusterShape_2x1x1;
@@ -379,8 +379,20 @@ std::vector<CutlassGemmConfig> get_candidate_configs_sm100_dynamic_cluster_shape
     std::vector<CutlassGemmConfig> candidate_configs;
     if ((config & CutlassGemmConfig::FP4_ONLY) != 0)
     {
-        if (schedule != EpilogueScheduleType::TMA)
-            return {};
+        if (sm == 100)
+        {
+            if (schedule != EpilogueScheduleType::TMA)
+                return {};
+            candidate_configs.push_back(CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x64x128B,
+                MainloopScheduleType::AUTO, schedule, cluster1sm, dynamic_cluster_shape, fallback_cluster_shape, sm});
+            if (supports_2sm)
+            {
+                candidate_configs.push_back(
+                    CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x64x128B, MainloopScheduleType::AUTO, schedule,
+                        cluster2sm, dynamic_cluster_shape, fallback_cluster_shape, sm});
+            }
+        }
+
         candidate_configs.push_back(CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x128x128B,
             MainloopScheduleType::AUTO, schedule, cluster1sm, dynamic_cluster_shape, fallback_cluster_shape, sm});
         candidate_configs.push_back(CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x256x128B,
@@ -392,18 +404,6 @@ std::vector<CutlassGemmConfig> get_candidate_configs_sm100_dynamic_cluster_shape
             candidate_configs.push_back(CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x256x128B,
                 MainloopScheduleType::AUTO, schedule, cluster2sm, dynamic_cluster_shape, fallback_cluster_shape, sm});
         }
-        if (sm == 103)
-        {
-            return candidate_configs;
-        }
-
-        candidate_configs.push_back(CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x64x128B,
-            MainloopScheduleType::AUTO, schedule, cluster1sm, dynamic_cluster_shape, fallback_cluster_shape, sm});
-        if (supports_2sm)
-        {
-            candidate_configs.push_back(CutlassGemmConfig{CutlassTileConfigSM100::CtaShape128x64x128B,
-                MainloopScheduleType::AUTO, schedule, cluster2sm, dynamic_cluster_shape, fallback_cluster_shape, sm});
-        }
         return candidate_configs;
     }
 
@@ -468,12 +468,12 @@ std::vector<CutlassGemmConfig> get_candidate_configs_sm100(
                     ? ClusterShape::ClusterShape_1x1x1
                     : ClusterShape::ClusterShape_2x1x1;
                 auto configs = get_candidate_configs_sm100_dynamic_cluster_shape(
-                    config, schedule, cluster_shape, fallback_cluster_shape, sm);
+                    sm, config, schedule, cluster_shape, fallback_cluster_shape);
                 candidate_configs.insert(candidate_configs.end(), configs.begin(), configs.end());
             }
 
             auto configs = get_candidate_configs_sm100_dynamic_cluster_shape(
-                config, schedule, ClusterShape::Undefined, ClusterShape::Undefined, sm);
+                sm, config, schedule, ClusterShape::Undefined, ClusterShape::Undefined);
             candidate_configs.insert(candidate_configs.end(), configs.begin(), configs.end());
         }
         return candidate_configs;
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/fused_moe_gemm_launcher_sm80.inl b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/fused_moe_gemm_launcher_sm80.inl
index b08ebe2d63b..85c2f00a544 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/fused_moe_gemm_launcher_sm80.inl
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/fused_moe_gemm_launcher_sm80.inl
@@ -36,9 +36,9 @@ void sm80_generic_fused_moe_gemm_kernelLauncher(ElementType_ const* A, CutlassWe
     int64_t num_rows, int64_t gemm_n, int64_t gemm_k, int num_experts, int multi_processor_count, cudaStream_t stream,
     int* kernel_occupancy)
 {
-    constexpr auto activation_type = fused_moe::EpilogueRouting<EpilogueTag>(true);
-    using GemmType = fused_moe::Fused_Moe_Kernel_sm80<ElementType_, CutlassWeightType_, ElementType_, MaxTileM_, TileN_,
-        TileK_, Stages_, activation_type>;
+    constexpr auto activation_type = fused_moe_oss::EpilogueRouting<EpilogueTag>(true);
+    using GemmType = fused_moe_oss::Fused_Moe_Kernel_sm80<ElementType_, CutlassWeightType_, ElementType_, MaxTileM_,
+        TileN_, TileK_, Stages_, activation_type>;
 
     // make sure GPU has enough resources..
     if (kernel_occupancy != nullptr)
@@ -53,7 +53,7 @@ void sm80_generic_fused_moe_gemm_kernelLauncher(ElementType_ const* A, CutlassWe
             tensorrt_llm::common::check_cuda_error(cudaGetDevice(&device));
             tensorrt_llm::common::check_cuda_error(
                 cudaDeviceGetAttribute(&max_smem_per_block, cudaDevAttrMaxSharedMemoryPerBlockOptin, device));
-            tensorrt_llm::common::check_cuda_error(cudaFuncGetAttributes(&attr, fused_moe::run_global<GemmType>));
+            tensorrt_llm::common::check_cuda_error(cudaFuncGetAttributes(&attr, fused_moe_oss::run_global<GemmType>));
             if (smem_size + attr.sharedSizeBytes >= static_cast<size_t>(max_smem_per_block))
             {
                 // This should mean that
@@ -67,11 +67,11 @@ void sm80_generic_fused_moe_gemm_kernelLauncher(ElementType_ const* A, CutlassWe
 
         int max_active_blocks = -1;
         tensorrt_llm::common::check_cuda_error(cudaOccupancyMaxActiveBlocksPerMultiprocessor(
-            &max_active_blocks, fused_moe::run_global<GemmType>, GemmType::kThreadCount, smem_size));
+            &max_active_blocks, fused_moe_oss::run_global<GemmType>, GemmType::kThreadCount, smem_size));
         *kernel_occupancy = max_active_blocks;
         return;
     }
-    int occupancy = std::min(2, fused_moe::fused_gemm_maximum_active_blocks<GemmType>());
+    int occupancy = std::min(2, fused_moe_oss::fused_gemm_maximum_active_blocks<GemmType>());
     int const threadblock_count = multi_processor_count * occupancy;
     TLLM_CHECK_WITH_INFO(occupancy > 0, "GPU lacks the shared memory resources to run fused_moe kernel");
     using Arguments = typename GemmType::Arguments;
@@ -83,13 +83,13 @@ void sm80_generic_fused_moe_gemm_kernelLauncher(ElementType_ const* A, CutlassWe
     if (GemmType::kSmemSize >= (48 << 10))
     {
         cudaError_t result = cudaFuncSetAttribute(
-            fused_moe::run_global<GemmType>, cudaFuncAttributeMaxDynamicSharedMemorySize, GemmType::kSmemSize);
+            fused_moe_oss::run_global<GemmType>, cudaFuncAttributeMaxDynamicSharedMemorySize, GemmType::kSmemSize);
         TLLM_CHECK_WITH_INFO(result == cudaSuccess,
             "Fail to set the max smem size to " + std::to_string(GemmType::kSmemSize) + " for fused moe kernel");
     }
     dim3 grid(params.threadblock_count, 1, 1);
     dim3 block(GemmType::kThreadCount);
-    fused_moe::run_global<GemmType><<<grid, block, GemmType::kSmemSize, stream>>>(params);
+    fused_moe_oss::run_global<GemmType><<<grid, block, GemmType::kSmemSize, stream>>>(params);
     auto result = cudaGetLastError();
     TLLM_CHECK_WITH_INFO(result == cudaSuccess, "Fail to execute fused moe kernel, cuda error %d\n", (int) (result));
 }
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/moe_gemm_tma_ws_launcher.inl b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/moe_gemm_tma_ws_launcher.inl
index fdd00f7b2c1..5064950314b 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/moe_gemm_tma_ws_launcher.inl
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/launchers/moe_gemm_tma_ws_launcher.inl
@@ -213,23 +213,20 @@ using namespace cutlass::epilogue;
         constexpr static bool DYNAMIC_CGA = DYNAMIC_CGA_;                                                                                                                                                                                                                                                                   \
         constexpr static bool SwapAB = SWAP_AB_;                                                                                                                                                                                                                                                                            \
         constexpr bool IsBlackwell = ArchTag::kMinComputeCapability >= 100;                                                                                                                                                                                                                                                 \
-        constexpr bool IsSM100 = ArchTag::kMinComputeCapability >= 100 && ArchTag::kMinComputeCapability < 120;                                                                                                                                                                                                             \
+        constexpr static bool IsSM10x = ArchTag::kMinComputeCapability >= 100 && ArchTag::kMinComputeCapability < 120;                                                                                                                                                                                                      \
+        constexpr static bool IsSM103 = ArchTag::kMinComputeCapability == 103;                                                                                                                                                                                                                                              \
         constexpr bool IsSM120 = ArchTag::kMinComputeCapability == 120 || ArchTag::kMinComputeCapability == 121;                                                                                                                                                                                                            \
-        constexpr bool IsSM103 = ArchTag::kMinComputeCapability == 103;                                                                                                                                                                                                                                                     \
         /* constexpr static bool BIAS = BIAS_; */ /* Always false */                                                                                                                                                                                                                                                        \
         using T = DataType_;                                                                                                                                                                                                                                                                                                \
         using WeightType = WeightType_;                                                                                                                                                                                                                                                                                     \
         using OutputType = OutputType_;                                                                                                                                                                                                                                                                                     \
-        constexpr static bool IsFP4 = cutlass::platform::is_same<T, SafeFP4>::value;                                                                                                                                                                                                                                        \
-        constexpr static bool IsSM103FP4 = IsSM103 && IsFP4;                                                                                                                                                                                                                                                                \
-        /* static_assert(IsSM103 == IsSM103FP4, "SM103 only implemented for fp4"); */                                                                                                                                                                                                                                       \
         using EpilogueTag = tensorrt_llm::cutlass_extensions::EpilogueTag_;                                                                                                                                                                                                                                                 \
         using InputClusterShape = cute::Shape<cute::Int<CGA_M_>, cute::Int<CGA_N_>, cute::Int<CGA_K_>>;                                                                                                                                                                                                                     \
-        constexpr static bool Is2SM = IsSM100 && cute::size<0>(InputClusterShape{}) == 2;                                                                                                                                                                                                                                   \
+        constexpr static bool Is2SM = IsSM10x && cute::size<0>(InputClusterShape{}) == 2;                                                                                                                                                                                                                                   \
         using ClusterShape                                                                                                                                                                                                                                                                                                  \
             = std::conditional_t<DYNAMIC_CGA, cute::Shape<int32_t, int32_t, cute::_1>, InputClusterShape>;                                                                                                                                                                                                                  \
-        using MmaTileShape = cute::Shape<cute::Int<CTA_M_*(Is2SM ? 2 : 1)>, cute::Int<CTA_N_>,                                                                                                                                                                                                                              \
-            cute::Int<CTA_K_*(IsSM103FP4 ? 3 : 1)>>;                                                                                                                                                                                                                                                                        \
+        using MmaTileShape                                                                                                                                                                                                                                                                                                  \
+            = cute::Shape<cute::Int<CTA_M_*(Is2SM ? 2 : 1)>, cute::Int<CTA_N_>, cute::Int<CTA_K_*(IsSM103 ? 3 : 1)>>;                                                                                                                                                                                                       \
         using InputEpilogueSchedule = EpilogueSchedule_;                                                                                                                                                                                                                                                                    \
         if constexpr (!COMPILE_HOPPER_TMA_GROUPED_GEMMS_ENABLED && ArchTag::kMinComputeCapability >= 90                                                                                                                                                                                                                     \
             && ArchTag::kMinComputeCapability < 100)                                                                                                                                                                                                                                                                        \
@@ -261,7 +258,7 @@ using namespace cutlass::epilogue;
             constexpr static bool IsWFP4AFP8 = cutlass::platform::is_same<WeightType, SafeFP4>::value                                                                                                                                                                                                                       \
                 && cutlass::platform::is_same<T, SafeFP8>::value;                                                                                                                                                                                                                                                           \
             constexpr static bool IsFP4 = cutlass::platform::is_same<T, SafeFP4>::value;                                                                                                                                                                                                                                    \
-            static_assert(!IsFP4 || IsBlackwell, "FP4 is only supported by Blackwell");                                                                                                                                                                                                                                     \
+            static_assert(!IsFP4 || IsBlackwell, "FP4 is only supported by SM100");                                                                                                                                                                                                                                         \
                                                                                                                                                                                                                                                                                                                             \
             constexpr static bool IsFP8 = cutlass::platform::is_same<T, SafeFP8>::value;                                                                                                                                                                                                                                    \
                                                                                                                                                                                                                                                                                                                             \
@@ -275,6 +272,8 @@ using namespace cutlass::epilogue;
             static_assert(FUSION == EpilogueFusion::NONE || FUSION == EpilogueFusion::FINALIZE,                                                                                                                                                                                                                             \
                 "Unimplemented fusion provided to TMA WS MoE gemm launcher");                                                                                                                                                                                                                                               \
             constexpr static bool IsFinalizeFusion = FUSION == EpilogueFusion::FINALIZE;                                                                                                                                                                                                                                    \
+            constexpr bool IsTmaSM10xEpilogue                                                                                                                                                                                                                                                                               \
+                = std::is_same_v<InputEpilogueSchedule, cutlass::epilogue::PtrArrayTmaWarpSpecialized>;                                                                                                                                                                                                                     \
                                                                                                                                                                                                                                                                                                                             \
             static_assert(cutlass::platform::is_same<T, SafeBF16>::value || cutlass::platform::is_same<T, half>::value                                                                                                                                                                                                      \
                     || cutlass::platform::is_same<T, float>::value || IsFP8 || IsFP4,                                                                                                                                                                                                                                       \
@@ -337,9 +336,12 @@ using namespace cutlass::epilogue;
                                                             // units of elements (up to 16 bytes)*/                                                                                                                                                                                                                         \
                                                                                                                                                                                                                                                                                                                             \
             /* D matrix configuration */                                                                                                                                                                                                                                                                                    \
-            constexpr static int AlignmentD                                                                                                                                                                                                                                                                                 \
-                = 128 / cutlass::sizeof_bits<ElementD>::value; /* Memory access granularity/alignment of D matrix                                                                                                                                                                                                           \
-                                                               // in units of elements (up to 16 bytes) */                                                                                                                                                                                                                  \
+            constexpr static int AlignmentDBits = (IsSM10x && !IsTmaSM10xEpilogue)                                                                                                                                                                                                                                          \
+                ? 256                                                                                                                                                                                                                                                                                                       \
+                : 128; /* For NoSmem epilogue schedule, we need to align to 256 bits */                                                                                                                                                                                                                                     \
+            constexpr static int AlignmentD = AlignmentDBits                                                                                                                                                                                                                                                                \
+                / cutlass::sizeof_bits<ElementD>::value; /* Memory access granularity/alignment of D matrix                                                                                                                                                                                                                 \
+                                              // in units of elements (up to 16 bytes) */                                                                                                                                                                                                                                   \
                                                                                                                                                                                                                                                                                                                             \
             static_assert(                                                                                                                                                                                                                                                                                                  \
                 cutlass::platform::is_same<EpilogueTag, tensorrt_llm::cutlass_extensions::EpilogueOpDefault>::value,                                                                                                                                                                                                        \
@@ -356,20 +358,18 @@ using namespace cutlass::epilogue;
             //        >;*/                                                                                                                                                                                                                                                                                                  \
             using EpilogueScheduleSM90 = cutlass::epilogue::PtrArrayTmaWarpSpecializedCooperative;                                                                                                                                                                                                                          \
                                                                                                                                                                                                                                                                                                                             \
-            constexpr bool IsTmaSM10xEpilogue                                                                                                                                                                                                                                                                               \
-                = std::is_same_v<InputEpilogueSchedule, cutlass::epilogue::PtrArrayTmaWarpSpecialized>;                                                                                                                                                                                                                     \
             using EpilogueScheduleSM10x = std::conditional_t<IsTmaSM10xEpilogue,                                                                                                                                                                                                                                            \
                 std::conditional_t<Is2SM, cutlass::epilogue::PtrArrayTmaWarpSpecialized2Sm,                                                                                                                                                                                                                                 \
                     cutlass::epilogue::PtrArrayTmaWarpSpecialized1Sm>,                                                                                                                                                                                                                                                      \
                 std::conditional_t<Is2SM, cutlass::epilogue::PtrArrayNoSmemWarpSpecialized2Sm,                                                                                                                                                                                                                              \
                     cutlass::epilogue::PtrArrayNoSmemWarpSpecialized1Sm>>;                                                                                                                                                                                                                                                  \
             using EpilogueScheduleSM120 = cutlass::epilogue::TmaWarpSpecialized;                                                                                                                                                                                                                                            \
-            using EpilogueSchedule = std::conditional_t<IsSM100, EpilogueScheduleSM10x,                                                                                                                                                                                                                                     \
+            using EpilogueSchedule = std::conditional_t<IsSM10x, EpilogueScheduleSM10x,                                                                                                                                                                                                                                     \
                 std::conditional_t<IsSM120, EpilogueScheduleSM120, EpilogueScheduleSM90>>;                                                                                                                                                                                                                                  \
             using EpilogueElementC = std::conditional_t<IsSM120, ElementCSafe, ElementC>;                                                                                                                                                                                                                                   \
             using EpilogueTensorOp = std::conditional_t<IsBlackwell && IsBlockScaled,                                                                                                                                                                                                                                       \
                 cutlass::arch::OpClassBlockScaledTensorOp, cutlass::arch::OpClassTensorOp>;                                                                                                                                                                                                                                 \
-            using EpilogueScheduleSM10xFinalize = std::conditional_t<!IsFinalizeFusion && IsSM100,                                                                                                                                                                                                                          \
+            using EpilogueScheduleSM10xFinalize = std::conditional_t<!IsFinalizeFusion && IsSM10x,                                                                                                                                                                                                                          \
                 std::conditional_t<Is2SM, cutlass::epilogue::PtrArrayTmaWarpSpecialized2Sm,                                                                                                                                                                                                                                 \
                     cutlass::epilogue::PtrArrayTmaWarpSpecialized1Sm>,                                                                                                                                                                                                                                                      \
                 EpilogueSchedule>; /* This still needs to be valid when finalize fusion is disabled */                                                                                                                                                                                                                      \
@@ -440,8 +440,7 @@ using namespace cutlass::epilogue;
             using KernelScheduleSM103 = std::conditional_t<Is2SM,                                                                                                                                                                                                                                                           \
                 cutlass::gemm::KernelPtrArrayTmaWarpSpecialized2SmBlockScaledMxNvf4UltraVs16Sm103,                                                                                                                                                                                                                          \
                 cutlass::gemm::KernelPtrArrayTmaWarpSpecialized1SmBlockScaledMxNvf4UltraVs16Sm103>;                                                                                                                                                                                                                         \
-            using KernelScheduleSM10x = std::conditional_t<IsSM103FP4, KernelScheduleSM103, KernelScheduleSM100>;                                                                                                                                                                                                           \
-                                                                                                                                                                                                                                                                                                                            \
+            using KernelScheduleSM10x = std::conditional_t<IsSM103, KernelScheduleSM103, KernelScheduleSM100>;                                                                                                                                                                                                              \
             using KernelScheduleSM120 = cutlass ::gemm ::collective::KernelScheduleAuto;                                                                                                                                                                                                                                    \
             using KernelScheduleBW = std::conditional_t<IsSM120, KernelScheduleSM120, KernelScheduleSM10x>;                                                                                                                                                                                                                 \
                                                                                                                                                                                                                                                                                                                             \
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch.h b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch.h
index eccb23e926a..8e354d761ce 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch.h
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch.h
@@ -73,9 +73,8 @@
 #include <sstream>
 #include <type_traits>
 
-namespace tensorrt_llm::kernels::cutlass_kernels
+namespace tensorrt_llm::kernels::cutlass_kernels_oss
 {
-using tensorrt_llm::kernels::cutlass_kernels_oss::sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass;
 
 // ============================= Variable batched Gemm things ===========================
 template <typename T, typename WeightType, typename GemmOutputType, typename arch, cutlass::WeightOnlyQuantOp QuantOp,
@@ -106,9 +105,9 @@ struct genericMoeGemmKernelLauncher
         static_assert(arch::kMinComputeCapability < 90, "Sm90+ architecture should use specialized kernels");
 
         // The cutlass type for the input elements. This is needed to convert to cutlass::half_t if necessary.
-        using ElementType = typename TllmToCutlassTypeAdapter<T>::type;
-        using CutlassGemmOutputType = typename TllmToCutlassTypeAdapter<GemmOutputType>::type;
-        using CutlassWeightType = typename TllmToCutlassTypeAdapter<WeightType>::type;
+        using ElementType = typename cutlass_kernels::TllmToCutlassTypeAdapter<T>::type;
+        using CutlassGemmOutputType = typename cutlass_kernels::TllmToCutlassTypeAdapter<GemmOutputType>::type;
+        using CutlassWeightType = typename cutlass_kernels::TllmToCutlassTypeAdapter<WeightType>::type;
         if (!inputs.use_fused_moe)
         {
             // We need separate config for each architecture since we will target different tensorcore instructions. For
@@ -246,17 +245,17 @@ static void dispatch(GroupedGemmInput<T, WeightType, GemmOutputType, GemmOutputT
     {
         // dispatch for quant op type
         auto* launcher
-            = tensorrt_llm::kernels::cutlass_kernels::genericMoeGemmKernelLauncher<T, WeightType, GemmOutputType, Arch,
-                cutlass::WeightOnlyQuantOp::UNDEFINED, EpilogueTag, ThreadblockShape, WarpShape, Stages>::call;
+            = tensorrt_llm::kernels::cutlass_kernels_oss::genericMoeGemmKernelLauncher<T, WeightType, GemmOutputType,
+                Arch, cutlass::WeightOnlyQuantOp::UNDEFINED, EpilogueTag, ThreadblockShape, WarpShape, Stages>::call;
         if (!std::is_same_v<WeightType, T> && inputs.groupwise_quant_group_size > 0)
         {
             launcher = inputs.zeros
-                ? tensorrt_llm::kernels::cutlass_kernels::genericMoeGemmKernelLauncher<T, WeightType, GemmOutputType,
-                    Arch, cutlass::WeightOnlyQuantOp::FINEGRAINED_SCALE_AND_ZEROS, EpilogueTag, ThreadblockShape,
-                    WarpShape, Stages>::call
-                : tensorrt_llm::kernels::cutlass_kernels::genericMoeGemmKernelLauncher<T, WeightType, GemmOutputType,
-                    Arch, cutlass::WeightOnlyQuantOp::FINEGRAINED_SCALE_ONLY, EpilogueTag, ThreadblockShape, WarpShape,
-                    Stages>::call;
+                ? tensorrt_llm::kernels::cutlass_kernels_oss::genericMoeGemmKernelLauncher<T, WeightType,
+                    GemmOutputType, Arch, cutlass::WeightOnlyQuantOp::FINEGRAINED_SCALE_AND_ZEROS, EpilogueTag,
+                    ThreadblockShape, WarpShape, Stages>::call
+                : tensorrt_llm::kernels::cutlass_kernels_oss::genericMoeGemmKernelLauncher<T, WeightType,
+                    GemmOutputType, Arch, cutlass::WeightOnlyQuantOp::FINEGRAINED_SCALE_ONLY, EpilogueTag,
+                    ThreadblockShape, WarpShape, Stages>::call;
         }
         launcher(inputs, sm_count_);
     }
@@ -474,6 +473,11 @@ void dispatchMoeGemmToCutlass(GroupedGemmInput<T, WeightType, GemmOutputType, Ge
     }
 }
 
+} // namespace tensorrt_llm::kernels::cutlass_kernels_oss
+
+namespace tensorrt_llm::kernels::cutlass_kernels
+{
+
 template <typename T, typename WeightType, typename OutputType, typename ScaleBiasType>
 std::vector<cutlass_extensions::CutlassGemmConfig> MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::getConfigs(
     bool supports_finalize_fusion) const
@@ -509,8 +513,8 @@ MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::getAmpereConfigs(int sm
     auto config_type_param = static_cast<CutlassGemmConfig::CandidateConfigTypeParam>(
         weight_only_flag | simt_only_flag | grouped_gemm_flag | enable_hopper | fp8_only_flag);
 
-    if (!kernels::cutlass_kernels::isValidAmpereMOESpecialisation<T, WeightType>() || (use_w4afp8 && sm != 89)
-        || use_wfp4a16)
+    if (!tensorrt_llm::kernels::cutlass_kernels::isValidAmpereMOESpecialisation<T, WeightType>()
+        || (use_w4afp8 && sm != 89) || use_wfp4a16)
     {
         return {};
     }
@@ -562,7 +566,8 @@ MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::getTmaWarpSpecializedCo
     }
 
     std::vector<cutlass_extensions::CutlassGemmConfig> tma_ws_configs
-        = tensorrt_llm::kernels::cutlass_kernels::get_candidate_configs(sm, max_split_k, config_type_param);
+        = kernels::cutlass_kernels::get_candidate_configs(sm, max_split_k, config_type_param);
+
     if (sm == 103 && use_fp4)
     {
         // Explicitly select SM100 as well
@@ -570,6 +575,7 @@ MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::getTmaWarpSpecializedCo
             = tensorrt_llm::kernels::cutlass_kernels::get_candidate_configs(100, max_split_k, config_type_param);
         std::copy(sm100_configs.begin(), sm100_configs.end(), std::back_inserter(tma_ws_configs));
     }
+
     if (supports_finalize_fusion)
     {
         // Duplicate the configs and set the epilogue fusion type to FINALIZE
@@ -587,7 +593,8 @@ MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::getTmaWarpSpecializedCo
                                  {
                                      return config.epilogue_fusion_type
                                          == cutlass_extensions::CutlassGemmConfig::EpilogueFusionType::FINALIZE
-                                         && config.epilogue_schedule != cutlass_extensions::EpilogueScheduleType::TMA;
+                                         && config.epilogue_schedule
+                                         == cutlass_extensions::EpilogueScheduleType::NO_SMEM;
                                  }),
             tma_ws_configs.end());
     }
@@ -623,9 +630,11 @@ bool MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::isTmaWarpSpecializ
 template <typename T, typename WeightType, typename OutputType, typename ScaleBiasType>
 bool MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::supportsTmaWarpSpecialized(int sm)
 {
-    return (sm == 90 && kernels::cutlass_kernels::isValidHopperMOESpecialisation<T, WeightType>())
-        || (sm >= 100 && sm < 120 && kernels::cutlass_kernels::isValidBlackwellMOESpecialisation<T, WeightType>())
-        || ((sm == 120 || sm == 121) && kernels::cutlass_kernels::isValidSM120MOESpecialisation<T, WeightType>());
+    return (sm == 90 && tensorrt_llm::kernels::cutlass_kernels::isValidHopperMOESpecialisation<T, WeightType>())
+        || (sm >= 100 && sm < 120
+            && tensorrt_llm::kernels::cutlass_kernels::isValidBlackwellMOESpecialisation<T, WeightType>())
+        || ((sm == 120 || sm == 121)
+            && tensorrt_llm::kernels::cutlass_kernels::isValidSM120MOESpecialisation<T, WeightType>());
 }
 
 template <typename T, typename WeightType, typename OutputType, typename ScaleBiasType>
@@ -683,8 +692,8 @@ void MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::dispatchToArch(
     {
         if constexpr (!std::is_same_v<WeightType, __nv_fp4_e2m1>)
         {
-            dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm75, EpilogueTag>(
-                inputs, multi_processor_count_);
+            cutlass_kernels_oss::dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm75,
+                EpilogueTag>(inputs, multi_processor_count_);
         }
         else
         {
@@ -704,13 +713,13 @@ void MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::dispatchToArch(
 #endif
 
                 TLLM_CHECK_WITH_INFO(sm_ == 89, "For sm >= 80 and < 90, fp8 is only supported with sm == 89");
-                dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm89, EpilogueTag>(
-                    inputs, multi_processor_count_);
+                cutlass_kernels_oss::dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm89,
+                    EpilogueTag>(inputs, multi_processor_count_);
             }
             else
             {
-                dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm80, EpilogueTag>(
-                    inputs, multi_processor_count_);
+                cutlass_kernels_oss::dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm80,
+                    EpilogueTag>(inputs, multi_processor_count_);
             }
         }
         else
@@ -725,13 +734,14 @@ void MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::dispatchToArch(
         {
             if (sm_ >= 120)
             {
-                dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm89, EpilogueTag>(
-                    inputs, multi_processor_count_);
+                cutlass_kernels_oss::dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm89,
+                    EpilogueTag>(inputs, multi_processor_count_);
                 return;
             }
         }
 
-        if constexpr (kernels::cutlass_kernels::isValidTmaWarpSpecializedMOESpecialisation<T, WeightType, EpilogueTag>()
+        if constexpr (tensorrt_llm::kernels::cutlass_kernels::isValidTmaWarpSpecializedMOESpecialisation<T, WeightType,
+                          EpilogueTag>()
             && !use_w4_groupwise)
         {
             // We allow both tma warp specialized and SM80 configurations to coexist because for some cases with small
@@ -780,17 +790,17 @@ void MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::dispatchToArch(
             // EpilogueTag is ignored
             if (inputs.k % 512 == 0)
             {
-                sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
+                cutlass_kernels_oss::sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
                     cutlass_extensions::EpilogueOpDefault, 4>(inputs, hopper_inputs, multi_processor_count_, nullptr);
             }
             else if (inputs.k % 256 == 0)
             {
-                sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
+                cutlass_kernels_oss::sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
                     cutlass_extensions::EpilogueOpDefault, 2>(inputs, hopper_inputs, multi_processor_count_, nullptr);
             }
             else if (inputs.k % 128 == 0)
             {
-                sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
+                cutlass_kernels_oss::sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
                     cutlass_extensions::EpilogueOpDefault, 1>(inputs, hopper_inputs, multi_processor_count_, nullptr);
             }
             else
@@ -805,7 +815,7 @@ void MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::dispatchToArch(
             TLLM_CHECK_WITH_INFO(
                 inputs.gemm_config.is_tma_warp_specialized, "wfp4a16 is only supported for TMA warp specialization");
             // EpilogueTag is ignored
-            sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
+            cutlass_kernels_oss::sm90_dispatch_moe_mixed_dtype_gemm_to_cutlass<T, WeightType, ScaleBiasType,
                 cutlass_extensions::EpilogueOpDefault, 1>(inputs, hopper_inputs, multi_processor_count_, nullptr);
             return;
         }
@@ -825,13 +835,13 @@ void MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::dispatchToArch(
                 "Using SM %d configuration for SM80 fallback implementation", inputs.gemm_config.sm_version);
             if constexpr (use_fp8)
             {
-                dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm89, EpilogueTag>(
-                    inputs, multi_processor_count_);
+                cutlass_kernels_oss::dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm89,
+                    EpilogueTag>(inputs, multi_processor_count_);
             }
             else
             {
-                dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm80, EpilogueTag>(
-                    inputs, multi_processor_count_);
+                cutlass_kernels_oss::dispatchMoeGemmToCutlass<T, WeightType, ScaleBiasType, cutlass::arch::Sm80,
+                    EpilogueTag>(inputs, multi_processor_count_);
             }
         }
         else
@@ -869,8 +879,8 @@ size_t MoeGemmRunner<T, WeightType, OutputType, ScaleBiasType>::calcMaxWorkspace
     {
         return 0;
     }
-    if constexpr (kernels::cutlass_kernels::isValidTmaWarpSpecializedMOESpecialisation<T, WeightType>() && !use_w4afp8
-        && !use_wfp4a16)
+    if constexpr (tensorrt_llm::kernels::cutlass_kernels::isValidTmaWarpSpecializedMOESpecialisation<T, WeightType>()
+        && !use_w4afp8 && !use_wfp4a16)
     {
         // Finalize fusion may not actually be supported by the kernel,
         // if they are not we will catch the error and skip them
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h
index 70b2a430e48..65fff6a285c 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_template_dispatch_tma_ws.h
@@ -79,7 +79,9 @@ auto getDispatchFunctionForSM100(
     {
         auto select_dynamic_cga = [epilogue_schedule](auto dynamic_cga_t)
         {
-            if constexpr (!std::is_same_v<T, __nv_fp4_e2m1> && !std::is_same_v<WeightType, __nv_fp4_e2m1>
+            constexpr bool is_block_scaled
+                = std::is_same_v<T, __nv_fp4_e2m1> || std::is_same_v<WeightType, __nv_fp4_e2m1>;
+            if constexpr ((!is_block_scaled || Arch::kMinComputeCapability == 103)
                 && FUSION != EpilogueFusion::FINALIZE)
             {
                 auto func_map = std::array{
@@ -98,6 +100,8 @@ auto getDispatchFunctionForSM100(
             }
             else
             {
+                static_assert(FUSION == EpilogueFusion::FINALIZE || Arch::kMinComputeCapability != 103,
+                    "SM103 should support both epilogue schedules");
                 TLLM_CHECK_WITH_INFO(epilogue_schedule == cutlass_extensions::EpilogueScheduleType::TMA,
                     "No Smem epilogue schedule is not supported for block scaled types or finalize fusion");
                 return &kernels::cutlass_kernels_oss::tma_warp_specialized_generic_moe_gemm_kernelLauncher<Arch, T,
@@ -141,18 +145,7 @@ void dispatchMoeGemmFinalDispatchTmaWarpSpecialized(TmaWarpSpecializedGroupedGem
 #ifndef COMPILE_BLACKWELL_SM103_TMA_GROUPED_GEMMS
     else if constexpr (Arch::kMinComputeCapability == 103)
     {
-        static std::once_flag flag;
-        std::call_once(flag,
-            []()
-            {
-                TLLM_LOG_WARNING(
-                    "For best performance please recompile with support for blackwell by "
-                    "passing 103-real as an arch to build_wheel.py.");
-            });
-        dispatchMoeGemmFinalDispatchTmaWarpSpecialized<cutlass::arch::Sm100, T, WeightType, OutputType, EpilogueTag,
-            FUSION, TileShape, ClusterShape>(
-            hopper_input, num_experts, gemm_config, multi_processor_count, stream, occupancy, workspace_size);
-        return;
+        TLLM_THROW("Please recompile with support for blackwell by passing 103-real as an arch to build_wheel.py.");
     }
 #endif
 #ifndef COMPILE_BLACKWELL_TMA_GROUPED_GEMMS
@@ -439,7 +432,7 @@ void dispatchMoeGemmSelectTileShapeTmaWarpSpecialized(TmaWarpSpecializedGroupedG
             TLLM_THROW("Unsupported SM90 configuration requested");
         }
     }
-#ifdef ENABLE_FP4
+#if defined(ENABLE_FP4) && defined(COMPILE_BLACKWELL_SM103_TMA_GROUPED_GEMMS)
     // Check this before SM100 because we fall back to SM100 if not NVFP4
     else if (gemm_config.sm_version == 103
         && std::is_same_v<T, __nv_fp4_e2m1> && std::is_same_v<WeightType, __nv_fp4_e2m1>)
diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu
index f1d69c6abf3..ca613155a9d 100644
--- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu
+++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu
@@ -3506,6 +3506,26 @@ void CutlassMoeFCRunner<T, WeightType, OutputType, InputType, BackBoneType, Enab
     }
     else
     {
+        // For NoSmem epilogue schedule, we need to align the output of the GEMM to 256 bits, for gated activation this
+        // is automatic if the usual alignment requirement is met
+        if (gemm1_config_->epilogue_schedule == cutlass_extensions::EpilogueScheduleType::NO_SMEM
+            && !isGatedActivation(fc1_activation_type))
+        {
+            TLLM_CHECK_WITH_INFO(inter_size % (256 / sizeof_bits<WeightType>::value) == 0,
+                "Inter size %d does not meet minimum alignment requirements for MOE GEMM %d", (int) inter_size,
+                (int) (256 / sizeof_bits<WeightType>::value));
+        }
+
+        if (gemm2_config_->epilogue_schedule == cutlass_extensions::EpilogueScheduleType::NO_SMEM)
+        {
+            TLLM_CHECK_WITH_INFO(gemm2_config_->epilogue_fusion_type
+                    != cutlass_extensions::CutlassGemmConfig::EpilogueFusionType::FINALIZE,
+                "Got NoSmem epilogue schedule, which is not supported for finalize fusion");
+            TLLM_CHECK_WITH_INFO(hidden_size % (256 / sizeof_bits<WeightType>::value) == 0,
+                "Hidden size %d does not meet minimum alignment requirements for MOE GEMM %d", (int) hidden_size,
+                (int) (256 / sizeof_bits<WeightType>::value));
+        }
+
         // Require at least 128 bits of alignment for MOE GEMM
         TLLM_CHECK_WITH_INFO(hidden_size % (128 / sizeof_bits<WeightType>::value) == 0,
             "Hidden size %d does not meet minimum alignment requirements for MOE GEMM %d", (int) hidden_size,
diff --git a/cpp/tests/unit_tests/kernels/mixtureOfExpertsTest.cu b/cpp/tests/unit_tests/kernels/mixtureOfExpertsTest.cu
index 7ede6dcc528..6cc055f304a 100644
--- a/cpp/tests/unit_tests/kernels/mixtureOfExpertsTest.cu
+++ b/cpp/tests/unit_tests/kernels/mixtureOfExpertsTest.cu
@@ -169,14 +169,16 @@ protected:
     constexpr static bool ANY_FPX = ANY_FP4 || FP8;
 
     constexpr static bool INT_QUANT = !std::is_same_v<GemmDataType, WeightType> && std::is_integral_v<WeightType>;
-    constexpr static int WEIGHT_ELEM_PER_BYTE = (INT4 || WEIGHT_FP4) ? 2 : 1;
+    constexpr static int64_t WEIGHT_ELEM_PER_BYTE = (INT4 || WEIGHT_FP4) ? 2 : 1;
     using InputType = std::conditional_t<NVFP4 || MXFP8_MXFP4, OutputType, GemmDataType>;
     using WeightStorage = std::conditional_t<WEIGHT_ELEM_PER_BYTE == 2, uint8_t, WeightType>;
     constexpr static int64_t HIDDEN_SIZE_MULTIPLIER = 16;
     constexpr static int64_t MINIMUM_BYTE_ALIGNMENT
         = MX_QUANT_WEIGHT ? 64 : 128 / 8; // TMA requires 128 bits alignment, MX quant requires 64 bytes
-    constexpr static int64_t MINIMUM_ALIGNMENT = MINIMUM_BYTE_ALIGNMENT * WEIGHT_ELEM_PER_BYTE / sizeof(WeightStorage);
-    constexpr static int64_t DEFAULT_HIDDEN_SIZE = HIDDEN_SIZE_MULTIPLIER * MINIMUM_ALIGNMENT;
+    constexpr static int64_t MINIMUM_ALIGNMENT_CONST
+        = MINIMUM_BYTE_ALIGNMENT * WEIGHT_ELEM_PER_BYTE / sizeof(WeightStorage);
+    constexpr static int64_t DEFAULT_HIDDEN_SIZE = HIDDEN_SIZE_MULTIPLIER * MINIMUM_ALIGNMENT_CONST;
+    int64_t mDeviceMinimumAlignment = MINIMUM_ALIGNMENT_CONST; // SM103 has different minimum alignment
 
     // FP4 uses the unquantized data type for inputs and quantizes on the fly
     using DataType = std::conditional_t<NVFP4 || MXFP8_MXFP4, OutputType, GemmDataType>;
@@ -249,6 +251,13 @@ protected:
             GTEST_SKIP() << "Skipping due to no/unsupported GPU";
         }
         assert(mBufferManager);
+
+        int sm = getSMVersion();
+        if (sm >= 100 && sm < 120)
+        {
+            mDeviceMinimumAlignment
+                = std::max(MINIMUM_ALIGNMENT_CONST, int64_t(WEIGHT_ELEM_PER_BYTE * 32 / sizeof(WeightStorage)));
+        }
     }
 
     void TearDown() override
@@ -374,6 +383,12 @@ protected:
 
     // Default this to false. This only matters for K>2, and so by doing this we will test the fused and unfused paths
     bool mUseFusedFinalize = false;
+    // The internal fused finalize variable, true if k < 3 or mUseFusedFinalize is true
+    bool mUseFusedFinalizeInternal = false;
+
+    // Default this to TMA. This only matters for SM10x.
+    tensorrt_llm::cutlass_extensions::EpilogueScheduleType mEpilogueSchedule
+        = tensorrt_llm::cutlass_extensions::EpilogueScheduleType::TMA;
 
     // Disable this for long running tests to speed up runtime
     bool mIsLongTest = false;
@@ -452,23 +467,28 @@ protected:
         return (freeMem + memory_pool_free_mem_size) * freeMemBuffer >= total_size;
     }
 
-    void initBuffersPermute(std::vector<DataType> h_hidden_states, std::vector<int> h_token_selected_experts,
-        std::vector<float> h_token_final_scales, int64_t hidden_size, int64_t num_experts, int64_t k,
-        MOEParallelismConfig parallelism_config)
+    void initLocals(int64_t hidden_size, int64_t num_experts, int64_t k, int64_t num_tokens)
     {
-        managed_buffers.clear();
-
-        mMoERunner.use_fused_finalize_ = k < 3 || mUseFusedFinalize;
-
         mHiddenSize = hidden_size;
         mInterSize = hidden_size * mInterSizeFraction;
         mNumExperts = num_experts;
         mK = k;
         mIsGated = isGatedActivation(mActType);
         mGatedMultiplier = mIsGated ? 2 : 1;
+        mUseFusedFinalizeInternal = mUseFusedFinalize || k < 3;
+        mMoERunner.use_fused_finalize_ = mUseFusedFinalizeInternal;
+        mTotalTokens = num_tokens;
+    }
+
+    void initBuffersPermute(std::vector<DataType> h_hidden_states, std::vector<int> h_token_selected_experts,
+        std::vector<float> h_token_final_scales, int64_t hidden_size, int64_t num_experts, int64_t k,
+        MOEParallelismConfig parallelism_config)
+    {
+        managed_buffers.clear();
+
         auto const gated_inter = mInterSize * mGatedMultiplier;
 
-        mTotalTokens = h_hidden_states.size() / hidden_size;
+        EXPECT_EQ(h_hidden_states.size() / hidden_size, mTotalTokens);
         EXPECT_EQ(h_token_selected_experts.size(), mTotalTokens * mK);
         EXPECT_EQ(h_token_final_scales.size(), mTotalTokens * mK);
 
@@ -1115,24 +1135,37 @@ protected:
         }
 
         EXPECT_FALSE(tactics.empty());
-
         return tactics;
     }
 
-    auto selectTacticsForArch(int sm)
+    auto selectTacticsForArch(int sm, bool exact_match = false)
     {
         bool is_tma_warp_specialized = sm >= 90 && !INT_QUANT;
-        auto epilogue_fusion_type = (is_tma_warp_specialized && mUseFusedFinalize)
+        auto epilogue_fusion_type = (is_tma_warp_specialized && mUseFusedFinalizeInternal)
             ? tensorrt_llm::cutlass_extensions::CutlassGemmConfig::EpilogueFusionType::FINALIZE
             : tensorrt_llm::cutlass_extensions::CutlassGemmConfig::EpilogueFusionType::NONE;
+
+        auto smExact = [exact_match, sm](auto& c) { return !exact_match || c.sm_version == sm; };
+        auto epilogueMatch = [this](auto& c)
+        {
+            return c.sm_version < 100 || c.sm_version >= 120
+                || c.epilogue_fusion_type
+                == tensorrt_llm::cutlass_extensions::CutlassGemmConfig::EpilogueFusionType::FINALIZE
+                || (c.sm_version == 100 && this->ANY_FP4) || c.epilogue_schedule == this->mEpilogueSchedule;
+        };
+        auto epilogueFusionMatch
+            = [epilogue_fusion_type](auto& c) { return c.epilogue_fusion_type == epilogue_fusion_type; };
+
         auto tactics1 = getFilteredConfigs(sm, MoeGemmId::GEMM_1);
         auto tactics2 = getFilteredConfigs(sm, MoeGemmId::GEMM_2);
         auto it1 = std::find_if(tactics1.begin(), tactics1.end(),
-            [is_tma_warp_specialized](auto& c) { return c.is_tma_warp_specialized == is_tma_warp_specialized; });
+            [is_tma_warp_specialized, epilogueMatch, smExact](auto& c)
+            { return c.is_tma_warp_specialized == is_tma_warp_specialized && epilogueMatch(c) && smExact(c); });
         auto it2 = std::find_if(tactics2.begin(), tactics2.end(),
-            [is_tma_warp_specialized, epilogue_fusion_type](auto& c) {
-                return c.is_tma_warp_specialized == is_tma_warp_specialized
-                    && c.epilogue_fusion_type == epilogue_fusion_type;
+            [is_tma_warp_specialized, epilogueMatch, epilogueFusionMatch, smExact](auto& c)
+            {
+                return c.is_tma_warp_specialized == is_tma_warp_specialized && epilogueFusionMatch(c)
+                    && epilogueMatch(c) && smExact(c);
             });
         if (it1 == tactics1.end() || it2 == tactics2.end())
         {
@@ -1156,11 +1189,17 @@ protected:
         }
 
         int sm = getSMVersion();
-        ConfigsToTestVec tactics = {selectTacticsForArch(sm)};
+        bool needs_exact_match = sm == 103 && NVFP4;
+        ConfigsToTestVec tactics = {selectTacticsForArch(sm, needs_exact_match)};
+        if (sm == 103 && NVFP4)
+        {
+            // SM103 NVFP4 should also test SM100f kernels
+            tactics.push_back(selectTacticsForArch(100, true));
+        }
         if (sm >= 90 && !ANY_FPX)
         {
             // SM90+ should also grab some configs for SM80 to test them
-            tactics.push_back(selectTacticsForArch(80));
+            tactics.push_back(selectTacticsForArch(80, true));
         }
         return tactics;
     }
@@ -1534,7 +1573,7 @@ protected:
         int64_t num_tokens = 3, float inter_size_fraction = 1.0f)
     {
         // Ensure we dont drop below the minimum alignment
-        mInterSizeFraction = std::max(inter_size_fraction, MINIMUM_ALIGNMENT * 8.0f / hidden_size);
+        mInterSizeFraction = std::max(inter_size_fraction, mDeviceMinimumAlignment * 8.0f / hidden_size);
         ParallelismTest(k, 2, 1, hidden_size, num_experts, num_tokens);
         ParallelismTest(k, 4, 1, hidden_size, num_experts, num_tokens);
         ParallelismTest(k, 8, 1, hidden_size, num_experts, num_tokens);
@@ -1543,7 +1582,7 @@ protected:
     void MixedParallelTest(int k = 1, int64_t hidden_size = DEFAULT_HIDDEN_SIZE, int64_t num_experts = 4,
         int64_t num_tokens = 3, float inter_size_fraction = 1.0f)
     {
-        mInterSizeFraction = std::max(inter_size_fraction, MINIMUM_ALIGNMENT * 8.0f / hidden_size);
+        mInterSizeFraction = std::max(inter_size_fraction, mDeviceMinimumAlignment * 8.0f / hidden_size);
 
         // 2 experts per rank
         ParallelismTest(k, 2, num_experts / 2, hidden_size, num_experts, num_tokens);
@@ -1629,11 +1668,13 @@ void MixtureOfExpertsTest<TypeParam_>::BasicPermuteTest(
         if (mActType != ActivationType::Relu)
         {
             // FP4 has far too little precision to get any sort of consistency with non-relu actfn
-            GTEST_SKIP();
+            GTEST_SKIP() << "Skipping FP4 test with non-relu actfn";
             return;
         }
     }
 
+    initLocals(hidden_size, num_experts, k, num_tokens);
+
     auto test_archs = getAllTileConfigsToTest();
     for (auto [gemm1, gemm2] : test_archs)
     {
@@ -1766,6 +1807,35 @@ TYPED_TEST(MixtureOfExpertsTest, PermuteSwigluBias)
     this->BasicPermuteTest(3);
 }
 
+TYPED_TEST(MixtureOfExpertsTest, PermuteNoSmemEpilogueSchedule)
+{
+    if (getSMVersion() < 100 || getSMVersion() >= 120 || (getSMVersion() == 100 && this->NVFP4))
+    {
+        GTEST_SKIP() << "NoSmem is only supported for SM10x and SM100 without NVFP4";
+        return;
+    }
+
+    this->mEpilogueSchedule = tensorrt_llm::cutlass_extensions::EpilogueScheduleType::NO_SMEM;
+    this->BasicPermuteTest();
+    this->BasicPermuteTest(2);
+    this->BasicPermuteTest(3);
+}
+
+TYPED_TEST(MixtureOfExpertsTest, PermuteSwigluNoSmemEpilogueSchedule)
+{
+    if (getSMVersion() < 100 || getSMVersion() >= 120 || (getSMVersion() == 100 && this->NVFP4))
+    {
+        GTEST_SKIP() << "NoSmem is only supported for SM10x and SM100 without NVFP4";
+        return;
+    }
+
+    this->mActType = ActivationType::Swiglu;
+    this->mEpilogueSchedule = tensorrt_llm::cutlass_extensions::EpilogueScheduleType::NO_SMEM;
+    this->BasicPermuteTest();
+    this->BasicPermuteTest(2);
+    this->BasicPermuteTest(3);
+}
+
 TYPED_TEST(MixtureOfExpertsTest, PermuteNonDeterministic)
 {
     this->mUseFusedFinalize = true;
@@ -1777,9 +1847,9 @@ TYPED_TEST(MixtureOfExpertsTest, PermuteVerySmall)
 {
     for (int i = 1; i <= 3; i++)
     {
-        this->BasicPermuteTest(1, this->MINIMUM_ALIGNMENT * i);
-        this->BasicPermuteTest(2, this->MINIMUM_ALIGNMENT * i);
-        this->BasicPermuteTest(3, this->MINIMUM_ALIGNMENT * i);
+        this->BasicPermuteTest(1, this->mDeviceMinimumAlignment * i);
+        this->BasicPermuteTest(2, this->mDeviceMinimumAlignment * i);
+        this->BasicPermuteTest(3, this->mDeviceMinimumAlignment * i);
     }
 }
 
@@ -1802,7 +1872,7 @@ TYPED_TEST(MixtureOfExpertsTest, PermuteManyExperts)
 {
     this->mIsLongTest = true;
     /* This test is very slow. Only do one k value */
-    this->BasicPermuteTest(2, this->MINIMUM_ALIGNMENT, 512);
+    this->BasicPermuteTest(2, this->mDeviceMinimumAlignment, 512);
 }
 
 TYPED_TEST(MixtureOfExpertsTest, PermuteSwigluVerySmall)
@@ -1810,9 +1880,9 @@ TYPED_TEST(MixtureOfExpertsTest, PermuteSwigluVerySmall)
     this->mActType = ActivationType::Swiglu;
     for (int i = 1; i <= 3; i++)
     {
-        this->BasicPermuteTest(1, this->MINIMUM_ALIGNMENT * i);
-        this->BasicPermuteTest(2, this->MINIMUM_ALIGNMENT * i);
-        this->BasicPermuteTest(3, this->MINIMUM_ALIGNMENT * i);
+        this->BasicPermuteTest(1, this->mDeviceMinimumAlignment * i);
+        this->BasicPermuteTest(2, this->mDeviceMinimumAlignment * i);
+        this->BasicPermuteTest(3, this->mDeviceMinimumAlignment * i);
     }
 }
 
@@ -1844,7 +1914,7 @@ TYPED_TEST(MixtureOfExpertsTest, PermuteDeepSeekV3)
 TYPED_TEST(MixtureOfExpertsTest, MinimumAlignment)
 {
     this->mInterSizeFraction = 1;
-    this->BasicPermuteTest(1, this->DEFAULT_HIDDEN_SIZE + this->MINIMUM_ALIGNMENT);
+    this->BasicPermuteTest(1, this->DEFAULT_HIDDEN_SIZE + this->mDeviceMinimumAlignment);
 }
 
 template <class TypeParam_>
@@ -1894,6 +1964,8 @@ void MixtureOfExpertsTest<TypeParam_>::ParallelismTest(
             << "Expert parallelism must have less than 4 experts per rank or the test is ineffective";
     }
 
+    initLocals(hidden_size, num_experts, k, num_tokens);
+
     auto test_archs = getAllTileConfigsToTest();
     for (auto [gemm1, gemm2] : test_archs)
     {
@@ -2113,7 +2185,7 @@ void MixtureOfExpertsTest<TypeParam_>::ParallelismTest(
     {                                                                                                                  \
         this->mIsLongTest = true;                                                                                      \
         /* This test is very slow. Only do one k value */                                                              \
-        this->ParallelismType##Test(2, this->MINIMUM_ALIGNMENT, 512, 3, this->ANY_FP4 ? 8.0f : 4.0f);                  \
+        this->ParallelismType##Test(2, this->mDeviceMinimumAlignment, 512, 3, this->ANY_FP4 ? 8.0f : 4.0f);            \
     }
 
 PARALLEL_TEST_SUITE(ExpertParallel)
@@ -2178,7 +2250,7 @@ TYPED_TEST(MixtureOfExpertsTest, ConfigSweep)
                     {
                         this->mOverrideSelectedConfig1 = conf1;
                         this->mOverrideSelectedConfig2 = conf2;
-                        this->BasicPermuteTest(k, this->MINIMUM_ALIGNMENT);
+                        this->BasicPermuteTest(k, this->mDeviceMinimumAlignment);
                         if (::testing::Test::HasFailure()) // Throw on test failure so we get the print message
                             throw std::runtime_error("Test k=" + std::to_string(k) + " Failed");
                     }
@@ -2242,6 +2314,7 @@ TYPED_TEST(LargeMixtureOfExpertsTest, PermuteVeryLongSequence)
         token_selected_experts[i] = i % num_experts;
     }
 
+    this->initLocals(hidden_size, num_experts, k, num_tokens);
     this->runMoEPermute(hidden_states, token_selected_experts, token_final_scales, hidden_size, num_experts, k);
 
     // Just look at the first few tokens

From 9eb8084ca9e13239e6128f2502226cec2c120320 Mon Sep 17 00:00:00 2001
From: dongxuy04 <78518666+dongxuy04@users.noreply.github.com>
Date: Mon, 22 Sep 2025 02:01:51 +0800
Subject: [PATCH 43/76] [TRTLLM-7008][fix] cherrypick to main Add automatic
 shared memory delete if already exist (#7727)

Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com>
---
 examples/wide_ep/README.md                    | 31 +++++++++++++++----
 .../modules/fused_moe/moe_load_balancer.py    | 25 +++++++++++----
 tests/integration/test_lists/waives.txt       |  2 --
 3 files changed, 44 insertions(+), 14 deletions(-)

diff --git a/examples/wide_ep/README.md b/examples/wide_ep/README.md
index 2c4fe5c0758..5aa1cdbc0ca 100644
--- a/examples/wide_ep/README.md
+++ b/examples/wide_ep/README.md
@@ -96,15 +96,34 @@ GPU memory are also on NUMA nodes on GB200 and system can also use that. Bind me
 numactl -m 0,1 <command>
 ```
 
-### Shared Memory Clean Up on EPLB
+### Shared Memory on EPLB
 
-To achieve online load balance, all expert weights are stored in shared host memory. 4 ranks on same GB200 node share the same expert weights to save memory. Normally, these shared host memory will be cleaned up at process exit, but they may not get chance to be cleaned if an abnormal exit happens.
+To achieve online load balancing, all expert weights are stored in shared host memory. Four ranks on the same GB200 node share the same expert weights to save memory.
 
-In that case, when seeing the following (or similar) error message:
-```
-FileExistsError: [Errno 17] File exists: '/moe_shared_l0_lr0_all'
+There is one environment variable `TRTLLM_EPLB_SHM_NAME` to specify the base name of the shared memory. This environment variable may need to be specified if there are multiple instances on one node. If not, you can ignore it.
+
+The default value of `TRTLLM_EPLB_SHM_NAME` is `moe_shared`. When `TRTLLM_EPLB_SHM_NAME` is set to `moe_shared`, the shared memory segments will be named as `moe_shared_l0_lr0_all`, `moe_shared_l1_lr0_all`, and so on. Here `l0` means the first layer with EPLB, and `lr0` means that it is the part loaded by local rank 0, and `all` means it contains all expert weights of each expert.
+
+Normally, these shared memory segments will be cleaned up automatically at process exit. However, they may not get the chance to be cleaned up if an abnormal exit occurs. Therefore, EPLB will automatically clean up leftover shared memory with the same name that already exists before creating new segments.
+
+If you experience an abnormal exit and are concerned about the shared memory usage before the next run, you need to manually check the `/dev/shm` directory and delete any `/dev/shm/moe_shared_*` files if present.
+
+#### Manual Cleanup Commands
+
+For manual cleanup of shared memory, you can use the following commands:
+
+```bash
+# List all moe_shared related shared memory
+ls -la /dev/shm/moe_shared_*
+
+# Remove all moe_shared related shared memory
+rm -f /dev/shm/moe_shared_*
+
+# Or remove specific shared memory segments
+rm -f /dev/shm/moe_shared_l0_lr0_all
 ```
-you need to manually check `/dev/shm` directory and delete `/dev/shm/moe_shared_*` if any.
+
+**Warning:** Be careful when removing shared memory manually, as this may affect running processes that depend on these shared memory segments.
 
 ### Disaggregated serving related issues
 
diff --git a/tensorrt_llm/_torch/modules/fused_moe/moe_load_balancer.py b/tensorrt_llm/_torch/modules/fused_moe/moe_load_balancer.py
index ff26c87687a..530927d9ba7 100644
--- a/tensorrt_llm/_torch/modules/fused_moe/moe_load_balancer.py
+++ b/tensorrt_llm/_torch/modules/fused_moe/moe_load_balancer.py
@@ -1,3 +1,4 @@
+import os
 import threading
 from contextlib import nullcontext
 from multiprocessing import resource_tracker, shared_memory
@@ -176,9 +177,20 @@ def finalize_layer_weights(self):
                 total_size += aligned_size
 
         shm_name = self.get_shared_memory_name()
-        shm = shared_memory.SharedMemory(name=shm_name,
-                                         create=True,
-                                         size=total_size)
+        try:
+            shm = shared_memory.SharedMemory(name=shm_name,
+                                             create=True,
+                                             size=total_size)
+        except FileExistsError:
+            tensorrt_llm.logger.warning(
+                f'Found exist EPLB shared memory name: {shm_name}, unlinking...'
+            )
+            existing_shm = shared_memory.SharedMemory(name=shm_name)
+            existing_shm.close()
+            existing_shm.unlink()
+            shm = shared_memory.SharedMemory(name=shm_name,
+                                             create=True,
+                                             size=total_size)
         self.own_shm = shm
 
         offset = 0
@@ -722,7 +734,7 @@ def __init__(self,
                  ep_rank: int,
                  ep_size: int,
                  layer_updates_per_iter: int,
-                 shared_memory_base_name: str = 'moe_shared'):
+                 shared_memory_base_name: Optional[str] = None):
         """
         Initialize a MoeLoadBalancer instance.
 
@@ -730,7 +742,7 @@ def __init__(self,
             ep_rank: The rank of the current process in expert parallelism
             ep_size: The total number of processes in expert parallelism
             layer_updates_per_iter: The number of layers to update per iteration
-            shared_memory_base_name: Shared memory base name
+            shared_memory_base_name: Shared memory base name, will use 'moe_shared' if None
         """
         self.is_shutdown = True
         self.ep_rank = ep_rank
@@ -740,7 +752,8 @@ def __init__(self,
                                                        layer_updates_per_iter)
         self._previous_balancer = None
         self.single_layer_load_balancers = []
-        self.shared_memory_base_name = shared_memory_base_name
+        self.shared_memory_base_name = shared_memory_base_name or os.getenv(
+            'TRTLLM_EPLB_SHM_NAME', 'moe_shared')
         self._setup_mpi_comm()
         self.is_shutdown = False
 
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index d4d1a94a7a5..d42db13cb1f 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -304,8 +304,6 @@ accuracy/test_cli_flow.py::TestLongAlpaca7B::test_auto_dtype SKIP (https://nvbug
 accuracy/test_llm_api.py::TestPhi4MiniInstruct::test_fp8 SKIP (https://nvbugs/5465143)
 accuracy/test_llm_api_pytorch.py::TestEXAONE4::test_auto_dtype SKIP (https://nvbugs/5481090)
 accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_eagle3[tp8-torch_compile=False] SKIP (https://nvbugs/5483534)
-accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus_online_eplb[mtp_nextn=2] SKIP (https://nvbugs/5444687)
-accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus_online_eplb[fp8kv=True] SKIP (https://nvbugs/5444687)
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_auto_dtype[False] SKIP (https://nvbugs/5488118)
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_auto_dtype[True] SKIP (https://nvbugs/5488118)
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ngram SKIP (https://nvbugs/5488118)

From 639d4109a7c344d90af01ec2fbc2e79ac36fa39d Mon Sep 17 00:00:00 2001
From: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Date: Mon, 22 Sep 2025 10:04:30 +0800
Subject: [PATCH 44/76] [None][fix] Disable torch.compile for
 CapturableGuidedDecoder (#7871)

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
---
 tensorrt_llm/_torch/pyexecutor/guided_decoder.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/tensorrt_llm/_torch/pyexecutor/guided_decoder.py b/tensorrt_llm/_torch/pyexecutor/guided_decoder.py
index c27c81f4b08..d280acf4c09 100644
--- a/tensorrt_llm/_torch/pyexecutor/guided_decoder.py
+++ b/tensorrt_llm/_torch/pyexecutor/guided_decoder.py
@@ -424,6 +424,11 @@ def __init__(self,
                                                dtype=torch.int32,
                                                pin_memory=True)
 
+        # torch.compile kernels are called with GIL being held;
+        # this could cause deadlock with CUDA callback to Python code.
+        # See: https://github.com/pytorch/pytorch/issues/163061
+        torch.compiler.set_stance("force_eager")
+
     @nvtx_range("GuidedDecoder.add_batch")
     def add_batch(self,
                   scheduled_requests: ScheduledRequests,

From b057fc9593f64f56e07fb9640974feb51a5928c7 Mon Sep 17 00:00:00 2001
From: dongxuy04 <78518666+dongxuy04@users.noreply.github.com>
Date: Mon, 22 Sep 2025 10:17:23 +0800
Subject: [PATCH 45/76] [None][fix] cherrypick to main: Fix possible mpi
 broadcast and gather issue on large object (#7854)

Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com>
---
 .../_torch/distributed/communicator.py        | 250 +++++++++++++++++-
 1 file changed, 240 insertions(+), 10 deletions(-)

diff --git a/tensorrt_llm/_torch/distributed/communicator.py b/tensorrt_llm/_torch/distributed/communicator.py
index bf3ef8b1cfc..f131a22a291 100644
--- a/tensorrt_llm/_torch/distributed/communicator.py
+++ b/tensorrt_llm/_torch/distributed/communicator.py
@@ -1,4 +1,6 @@
+import math
 import os
+import pickle  # nosec B403
 from abc import ABC, abstractmethod
 from typing import Optional
 
@@ -6,10 +8,15 @@
 import torch
 import torch.distributed as dist
 
-from tensorrt_llm._utils import (mpi_allgather, mpi_barrier, mpi_broadcast,
-                                 mpi_comm, mpi_isend, mpi_isend_object,
-                                 mpi_recv, mpi_recv_object, mpi_send,
-                                 mpi_send_object)
+try:
+    from mpi4py import MPI
+except Exception:
+    MPI = None  # deferred; functions will error if used when ENABLE_MULTI_DEVICE is True
+
+from tensorrt_llm._utils import (mpi_allgather, mpi_barrier, mpi_comm,
+                                 mpi_isend, mpi_isend_object, mpi_recv,
+                                 mpi_recv_object, mpi_send, mpi_send_object)
+from tensorrt_llm.bindings.BuildInfo import ENABLE_MULTI_DEVICE
 from tensorrt_llm.mapping import Mapping
 
 
@@ -95,6 +102,226 @@ def allgather(self, obj, root=0):
         pass
 
 
+def safe_broadcast(comm, obj, root=0, chunk_size: int = 4 * 1024 * 1024):
+    """
+    Safely broadcasts potentially large objects by splitting into fixed-size chunks,
+    using raw-byte MPI.Bcast to avoid pickle5's out-of-band buffer allocations.
+
+    Args:
+        comm: communicator to broadcast
+        obj: Python object to broadcast
+        root: Rank of the broadcasting process
+        chunk_size: Maximum size of each chunk in bytes (default: 4MB)
+
+    Returns:
+        The broadcasted object on all ranks
+    """
+    if not ENABLE_MULTI_DEVICE:
+        return obj
+    if ENABLE_MULTI_DEVICE and MPI is None:
+        raise RuntimeError(
+            "mpi4py is required when ENABLE_MULTI_DEVICE is True")
+    if chunk_size <= 0:
+        raise ValueError("chunk_size must be > 0")
+    rank = comm.Get_rank()
+
+    # ---- Serialization phase (root only) ----
+    # Header layout: [ok_flag, total_size, num_chunks] as int64
+    header = np.zeros(3, dtype=np.int64)
+    if rank == root:
+        try:
+            serialized = pickle.dumps(obj, protocol=pickle.HIGHEST_PROTOCOL)
+            total_size = len(serialized)
+            num_chunks = math.ceil(total_size /
+                                   chunk_size) if total_size > 0 else 0
+            header[:] = (1, total_size, num_chunks)
+        except Exception as e:
+            # Signal failure to all ranks, then raise
+            header[:] = (0, 0, 0)
+            comm.Bcast([header, MPI.INT64_T], root=root)
+            raise RuntimeError(f"Serialization failed: {str(e)}") from e
+    else:
+        serialized = None  # not used on non-root before Bcast
+
+    # ---- Metadata broadcast (Bcast the fixed-size header) ----
+    comm.Bcast([header, MPI.INT64_T], root=root)
+    ok_flag, total_size, num_chunks = int(header[0]), int(header[1]), int(
+        header[2])
+    if not ok_flag:
+        raise RuntimeError("Root rank failed during serialization")
+
+    # ---- Allocate receive buffer (non-root) or build a view (root) ----
+    # We broadcast raw bytes chunk by chunk.
+    if rank == root:
+        src_view = memoryview(serialized)
+        dst_buf = None
+        dst_view = None
+    else:
+        # Pre-allocate a contiguous byte buffer to receive the payload
+        dst_buf = bytearray(total_size)
+        dst_view = memoryview(dst_buf)
+        src_view = None  # not used on non-root
+
+    # ---- Chunked raw-byte broadcast with MPI.Bcast ----
+    # Each round sends exactly `cur` bytes of the global payload.
+    offset = 0
+    for i in range(num_chunks):
+        cur = min(chunk_size, total_size - offset)
+        if cur <= 0:
+            break  # safety guard for zero-size payloads
+
+        if rank == root:
+            # Root sends a slice of the source view
+            part = src_view[offset:offset + cur]
+            comm.Bcast([part, MPI.BYTE], root=root)
+        else:
+            # Non-root receives directly into the destination view
+            part = dst_view[offset:offset + cur]
+            comm.Bcast([part, MPI.BYTE], root=root)
+
+        offset += cur
+
+    # ---- Reconstruction and deserialization ----
+    # Validate the received byte count and unpickle.
+    if rank == root:
+        # Root already has `serialized`
+        if len(serialized) != total_size:
+            raise RuntimeError(
+                f"Data size mismatch at root: expected {total_size}, got {len(serialized)}"
+            )
+        try:
+            return pickle.loads(serialized)  # nosec B301
+        except Exception as e:
+            raise RuntimeError(f"Deserialization failed: {str(e)}") from e
+    else:
+        if len(dst_buf) != total_size:
+            raise RuntimeError(
+                f"Data size mismatch at rank {rank}: expected {total_size}, got {len(dst_buf)}"
+            )
+        try:
+            return pickle.loads(dst_buf)  # nosec B301
+        except Exception as e:
+            raise RuntimeError(f"Deserialization failed: {str(e)}") from e
+
+
+def safe_gather(comm, obj, root=0, chunk_size: int = 4 * 1024 * 1024):
+    """
+    Safely gather potentially large objects by splitting into fixed-size chunks,
+    using raw-byte MPI.Gatherv. This variant uses Allgather on lengths so every
+    rank can compute sizes/displacements/total locally, removing extra broadcasts.
+
+    Args:
+        comm: communicator to gather
+        obj: Python object to gather
+        root: Rank that receives the gathered objects
+        chunk_size: Per-round max bytes each rank contributes (default: 4MB)
+
+    Returns:
+        On root: list of deserialized objects (len == comm.size)
+        On non-root: None
+    """
+    if not ENABLE_MULTI_DEVICE:
+        return [obj]
+    if ENABLE_MULTI_DEVICE and MPI is None:
+        raise RuntimeError(
+            "mpi4py is required when ENABLE_MULTI_DEVICE is True")
+    if chunk_size <= 0:
+        raise ValueError("chunk_size must be > 0")
+
+    rank = comm.Get_rank()
+    size = comm.Get_size()
+    if chunk_size <= 0:
+        raise ValueError("chunk_size must be > 0")
+
+    # -- Serialize locally --
+    try:
+        payload = pickle.dumps(obj, protocol=pickle.HIGHEST_PROTOCOL)
+        my_n = np.int64(len(payload))
+    except Exception as e:
+        # Keep collectives aligned: every rank must call Allgather exactly once
+        _ = comm.allgather(int(-1))
+        raise RuntimeError(f"Rank {rank} serialization failed: {e}") from e
+
+    # -- Allgather lengths so all ranks know sizes and can compute displacements --
+    # We allgather just the int64 length to minimize traffic.
+    lengths = np.array(comm.allgather(int(my_n)),
+                       dtype=np.int64)  # shape (size,)
+    if (lengths < 0).any():
+        raise RuntimeError(f"Serialization failed on at least one rank")
+    # Every rank computes displacements & total locally and identically:
+    displs = np.zeros(size, dtype=np.int64)
+    if size > 1:
+        displs[1:] = np.cumsum(lengths[:-1])
+    total = int(lengths.sum())
+
+    # -- Prepare buffers --
+    sendbuf_full = np.frombuffer(payload, dtype=np.uint8, count=len(payload))
+    if rank == root:
+        recvbuf = np.empty(total,
+                           dtype=np.uint8)  # single contiguous receive buffer
+    else:
+        recvbuf = None
+
+    # -- Chunked Gatherv loop --
+    # IMPORTANT: All ranks must execute the same number of Gatherv rounds.
+    # Using a deterministic schedule based only on (lengths, chunk_size):
+    #   num_rounds = ceil(max(lengths)/chunk_size)
+    max_len = int(lengths.max()) if size > 0 else 0
+    num_rounds = (max_len + chunk_size - 1) // chunk_size if max_len > 0 else 0
+
+    for r in range(num_rounds):
+        # Each rank contributes up to chunk_size bytes from its remaining payload
+        # this round. Round-local offset is r * chunk_size.
+        round_offs = r * chunk_size
+        # Per-rank count this round:
+        #   count = max(0, min(chunk, length - round_offs))
+        remaining = lengths - round_offs
+        remaining = np.maximum(remaining, 0)
+        counts64 = np.minimum(remaining, chunk_size).astype(np.int64)
+
+        # Target displacements this round are base displs + round_offs (where count>0)
+        round_displs64 = displs + np.minimum(np.maximum(lengths, 0), round_offs)
+
+        # Many MPI impls expect 32-bit ints for counts/displs in Gatherv
+        counts32 = counts64.astype(np.int32)
+        displs32 = round_displs64.astype(np.int32)
+
+        # Local slice to send this round (may be zero-length)
+        send_start = min(round_offs, int(my_n))
+        send_len = int(counts32[rank])
+        send_part = sendbuf_full[send_start:send_start + send_len]
+
+        if rank == root:
+            comm.Gatherv([send_part, MPI.BYTE],
+                         [recvbuf, counts32, displs32, MPI.BYTE],
+                         root=root)
+        else:
+            comm.Gatherv([send_part, MPI.BYTE], None, root=root)
+
+    # Note: ranks with zero data (my_n == 0) still participate in every Gatherv
+    # round with count=0. This is required to keep the collectives matched.
+
+    # -- Reconstruct on root --
+    if rank == root:
+        out = []
+        for i in range(size):
+            sz = int(lengths[i])
+            if sz == 0:
+                # Deserialize a canonical empty/None. Adjust to your needs.
+                out.append(None)  # None
+                continue
+            start = int(displs[i])
+            blob = recvbuf[start:start + sz].tobytes()
+            try:
+                out.append(pickle.loads(blob))  # nosec B301
+            except Exception as e:
+                raise RuntimeError(
+                    f"Deserialization failed for rank {i}: {e}") from e
+        return out
+
+    return None
+
+
 class MPIDist(Distributed):
 
     def __init__(self, mapping: Mapping):
@@ -102,8 +329,9 @@ def __init__(self, mapping: Mapping):
         self.create_tp_comm()
         self.create_pp_comm()
 
-    def broadcast(self, obj, root=0):
-        return mpi_broadcast(obj, root)
+    def broadcast(self, obj, root=0, chunk_size: int = 4 * 1024 * 1024):
+        comm = mpi_comm()
+        return safe_broadcast(comm, obj, root=root, chunk_size=chunk_size)
 
     def allgather(self, obj):
         return mpi_allgather(obj)
@@ -143,11 +371,13 @@ def create_pp_comm(self):
     def tp_allgather(self, obj):
         return self.tp_comm.allgather(obj)
 
-    def tp_gather(self, obj):
-        return self.tp_comm.gather(obj)
+    def tp_gather(self, obj, root=0, chunk_size: int = 4 * 1024 * 1024):
+        comm = self.tp_comm
+        return safe_gather(comm, obj, root=root, chunk_size=chunk_size)
 
-    def tp_broadcast(self, obj, root=0):
-        return self.tp_comm.bcast(obj, root)
+    def tp_broadcast(self, obj, root=0, chunk_size: int = 4 * 1024 * 1024):
+        comm = self.tp_comm
+        return safe_broadcast(comm, obj, root=root, chunk_size=chunk_size)
 
     def pp_allgather(self, obj):
         return self.pp_comm.allgather(obj)

From 9dc7316b7feed0bfe9359dd5f2c18575eb8665f3 Mon Sep 17 00:00:00 2001
From: peaceh-nv <103117813+peaceh-nv@users.noreply.github.com>
Date: Mon, 22 Sep 2025 10:26:30 +0800
Subject: [PATCH 46/76] [https://nvbugs/5512556][unwaive] Unwaive DeepSeek PP
 tests (#7828)

Signed-off-by: peaceh <103117813+peaceh-nv@users.noreply.github.com>
---
 tests/integration/test_lists/waives.txt | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index d42db13cb1f..685523fb4ca 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -310,10 +310,6 @@ accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ngram SKIP
 test_e2e.py::test_trtllm_bench_iteration_log[TRT-streaming-meta-llama/Llama-3.1-8B-llama-3.1-model/Meta-Llama-3.1-8B] SKIP (https://nvbugs/5448523)
 cpp/test_unit_tests.py::test_unit_tests[kernels-80] SKIP (https://nvbugs/5504078)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_fp8_block_scales[mtp=vanilla-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5504086)
-full:RTXPro6000/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-pp4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5512556)
-full:RTXPro6000/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-pp4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5512556)
-full:RTXPro6000/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-tp2pp2-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5512556)
-full:RTXPro6000/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp2pp2-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5512556)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-ep4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5513237)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-ep4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5516665)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5516665)

From 8aead224fb5fd82c6838c82ab73f37d994c4c767 Mon Sep 17 00:00:00 2001
From: Stefan Niebler <82932102+stnie@users.noreply.github.com>
Date: Mon, 22 Sep 2025 07:15:18 +0200
Subject: [PATCH 47/76] [https://nvbugs/5513423][fix] Correctly respect
 min_tokens in PyTorch Workflow (#7808)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Signed-off-by: Stefan Niebler <82932102+stnie@users.noreply.github.com>
Co-authored-by: Daniel Cámpora <961215+dcampora@users.noreply.github.com>
---
 tensorrt_llm/_torch/pyexecutor/llm_request.py |  1 +
 tensorrt_llm/_torch/pyexecutor/sampler.py     | 32 +++++++++++++++++++
 tests/unittest/llmapi/test_llm_pytorch.py     | 31 +++++++++++++-----
 3 files changed, 56 insertions(+), 8 deletions(-)

diff --git a/tensorrt_llm/_torch/pyexecutor/llm_request.py b/tensorrt_llm/_torch/pyexecutor/llm_request.py
index f730dfcd9cc..b20382006ec 100644
--- a/tensorrt_llm/_torch/pyexecutor/llm_request.py
+++ b/tensorrt_llm/_torch/pyexecutor/llm_request.py
@@ -327,6 +327,7 @@ def __init__(
         self.py_prompt_len = self.prompt_len
         self.py_orig_prompt_len = self.orig_prompt_len
         self.py_max_new_tokens = self.max_new_tokens
+        self.py_min_length = self.sampling_config.min_length
         self.py_batch_idx = None
         self.py_draft_pages_allocated = 0
         self.py_rewind_len = 0
diff --git a/tensorrt_llm/_torch/pyexecutor/sampler.py b/tensorrt_llm/_torch/pyexecutor/sampler.py
index e65c487f74d..6e6f57bc214 100644
--- a/tensorrt_llm/_torch/pyexecutor/sampler.py
+++ b/tensorrt_llm/_torch/pyexecutor/sampler.py
@@ -657,6 +657,36 @@ def _apply_embedding_bias(
 
         return logits
 
+    @staticmethod
+    @torch.inference_mode()
+    def _apply_min_length_penalty(logits: torch.Tensor,
+                                  requests: list[LlmRequest],
+                                  num_steps: list[int]) -> torch.Tensor:
+        """Inplace apply min_length_penalty to logits.
+
+            Args:
+                logits: The logits to apply min length penalty to
+                requests: The requests to apply min length penalty to
+                num_steps: The number of steps per request
+
+            Returns:
+                The logits with min length penalty applied
+        """
+        if any(r.py_min_length and r.max_beam_num_tokens < r.py_min_length[0]
+               for r in requests):
+            current_offset = 0
+            for index, r in enumerate(requests):
+                if r.py_min_length:
+                    for step in range(num_steps[index]):
+                        if r.max_beam_num_tokens + step < r.py_min_length[0]:
+                            logits[current_offset + step,
+                                   r.py_end_id] = float('-inf')
+                        else:
+                            #early exit
+                            break
+                current_offset += num_steps[index]
+        return logits
+
     def _process_requests(self,
                           scheduled_requests: ScheduledRequests,
                           model_outputs: dict[str, torch.Tensor],
@@ -686,6 +716,8 @@ def _process_requests(self,
 
         requests = scheduled_requests.all_requests()
         num_steps = [1 + get_draft_token_length(req) for req in requests]
+        raw_logits = self._apply_min_length_penalty(raw_logits, requests,
+                                                    num_steps)
         sum_steps = sum(num_steps)
         no_draft_tokens = len(requests) == sum_steps
         fast_path = not self.enable_mixed_sampler and no_draft_tokens and log_probs_host is None
diff --git a/tests/unittest/llmapi/test_llm_pytorch.py b/tests/unittest/llmapi/test_llm_pytorch.py
index e52d2cae6c6..ef2de1350c1 100644
--- a/tests/unittest/llmapi/test_llm_pytorch.py
+++ b/tests/unittest/llmapi/test_llm_pytorch.py
@@ -6,7 +6,7 @@
 from tensorrt_llm import LLM
 from tensorrt_llm.executor import GenerationExecutorWorker
 from tensorrt_llm.llmapi import KvCacheConfig
-from tensorrt_llm.llmapi.llm_args import PeftCacheConfig
+from tensorrt_llm.llmapi.llm_args import NGramDecodingConfig, PeftCacheConfig
 from tensorrt_llm.llmapi.tokenizer import TransformersTokenizer
 from tensorrt_llm.metrics import MetricNames
 from tensorrt_llm.sampling_params import SamplingParams
@@ -861,15 +861,30 @@ def test_llm_with_proxy_error():
 
 
 @pytest.mark.part0
-@pytest.mark.xfail(reason="https://nvbugs/5513423")
-def test_min_tokens():
+@pytest.mark.parametrize("use_speculative", [True, False])
+def test_min_tokens(use_speculative: bool):
     """Check min_tokens is respected."""
-    llm = LLM(model=llama_model_path,
-              kv_cache_config=global_kvcache_config,
-              enable_mixed_sampler=True,
-              max_seq_len=20000)
+    llm_common_config = dict(
+        model=llama_model_path,
+        max_batch_size=2,
+        kv_cache_config=global_kvcache_config,
+        max_num_tokens=2048,
+        enable_mixed_sampler=True,
+    )
+
+    if use_speculative:
+        spec_config = NGramDecodingConfig(
+            max_draft_len=4,
+            max_matching_ngram_size=2,
+            is_keep_all=True,
+            is_use_oldest=True,
+            is_public_pool=True,
+        )
+        llm = LLM(**llm_common_config, speculative_config=spec_config)
+    else:
+        llm = LLM(**llm_common_config)
 
-    output_len = 5000
+    output_len = 2000
     sampling_params = SamplingParams(max_tokens=output_len,
                                      min_tokens=output_len,
                                      temperature=1)

From 8484aa9858749c165add9d1edbf5ccf37176df76 Mon Sep 17 00:00:00 2001
From: Barry Kang <43644113+Barry-Delaney@users.noreply.github.com>
Date: Mon, 22 Sep 2025 13:52:50 +0800
Subject: [PATCH 48/76] [None][fix] Fix DeepGEMM commit (#7875)

Signed-off-by: Barry Kang <43644113+Barry-Delaney@users.noreply.github.com>
---
 3rdparty/DeepGEMM | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/3rdparty/DeepGEMM b/3rdparty/DeepGEMM
index 67e3c4d3d09..0315934ce27 160000
--- a/3rdparty/DeepGEMM
+++ b/3rdparty/DeepGEMM
@@ -1 +1 @@
-Subproject commit 67e3c4d3d09b59405fd6e7698a33db747ed96533
+Subproject commit 0315934ce27c5c0b05dfff1a5eb101a5f8872cfe

From a15f08db3d3c8b14c1361905e3a378284c345e24 Mon Sep 17 00:00:00 2001
From: Bo Li <22713281+bobboli@users.noreply.github.com>
Date: Fri, 29 Aug 2025 12:19:03 +0800
Subject: [PATCH 49/76] [https://nvbugs/5467548][fix] DeepSeek illegal memory
 access. (#7298)

Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tensorrt_llm/_torch/attention_backend/trtllm.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tensorrt_llm/_torch/attention_backend/trtllm.py b/tensorrt_llm/_torch/attention_backend/trtllm.py
index b65d9366d0f..434f651c565 100644
--- a/tensorrt_llm/_torch/attention_backend/trtllm.py
+++ b/tensorrt_llm/_torch/attention_backend/trtllm.py
@@ -853,8 +853,10 @@ def prepare_flash_mla(self) -> None:
         block_ids_per_seq = self.kv_cache_manager.get_block_ids_per_seq(
             self.request_ids).pin_memory()
         num_blocks = block_ids_per_seq.shape[1]
+        self.kv_block_ids_per_seq.fill_(0)
         self.kv_block_ids_per_seq[:self.num_seqs, :num_blocks].copy_(
             block_ids_per_seq, non_blocking=True)
+        self.block_ids_per_seq.fill_(0)
         self.block_ids_per_seq[:self.num_generations, :num_blocks].copy_(
             block_ids_per_seq[self.num_contexts:], non_blocking=True)
 

From 293d9fb61246604a3368c565f33c559480217e17 Mon Sep 17 00:00:00 2001
From: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Date: Fri, 29 Aug 2025 15:33:16 +0800
Subject: [PATCH 50/76] [https://nvbugs/5448767][fix] disable kv cache reuse
 for disagg pp>1 tests (#7354)

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 .../disaggregated/test_configs/disagg_config_ctxpp2_genpp2.yaml | 2 ++
 .../disaggregated/test_configs/disagg_config_ctxpp2_gentp2.yaml | 1 +
 .../disaggregated/test_configs/disagg_config_ctxpp4_genpp4.yaml | 2 ++
 .../test_configs/disagg_config_ctxtp2pp2_gentp2pp2.yaml         | 2 ++
 4 files changed, 7 insertions(+)

diff --git a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_genpp2.yaml b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_genpp2.yaml
index 293e3e604a8..b7f03c0f9f5 100644
--- a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_genpp2.yaml
+++ b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_genpp2.yaml
@@ -14,6 +14,7 @@ context_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT
@@ -29,6 +30,7 @@ generation_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT
diff --git a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_gentp2.yaml b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_gentp2.yaml
index 67f41bc7e50..892b4e8b31f 100644
--- a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_gentp2.yaml
+++ b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp2_gentp2.yaml
@@ -14,6 +14,7 @@ context_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT
diff --git a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp4_genpp4.yaml b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp4_genpp4.yaml
index 35716921234..2c7a67e1cbf 100644
--- a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp4_genpp4.yaml
+++ b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxpp4_genpp4.yaml
@@ -14,6 +14,7 @@ context_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT
@@ -29,6 +30,7 @@ generation_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT
diff --git a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2pp2_gentp2pp2.yaml b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2pp2_gentp2pp2.yaml
index db62a89cf76..ce47009aaad 100644
--- a/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2pp2_gentp2pp2.yaml
+++ b/tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2pp2_gentp2pp2.yaml
@@ -14,6 +14,7 @@ context_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT
@@ -29,6 +30,7 @@ generation_servers:
   kv_cache_config:
     free_gpu_memory_fraction: 0.2
     enable_partial_reuse: False
+    enable_block_reuse: False
   disable_overlap_scheduler: True
   cache_transceiver_config:
     backend: DEFAULT

From 123f5cbbf04175236297a9a1431eb15b06c81e26 Mon Sep 17 00:00:00 2001
From: HuiGao-NV <huig@nvidia.com>
Date: Mon, 1 Sep 2025 14:40:58 +0800
Subject: [PATCH 51/76] [https://nvbugs/5474169][fix]Adjust max seq len for
 kvcache for memory estimation (#7391)

Signed-off-by: Hui Gao <huig@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tensorrt_llm/_torch/pyexecutor/_util.py            | 12 ++++++++++--
 tensorrt_llm/_torch/pyexecutor/resource_manager.py |  2 +-
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/tensorrt_llm/_torch/pyexecutor/_util.py b/tensorrt_llm/_torch/pyexecutor/_util.py
index 684158a8064..16986acaa13 100644
--- a/tensorrt_llm/_torch/pyexecutor/_util.py
+++ b/tensorrt_llm/_torch/pyexecutor/_util.py
@@ -67,14 +67,14 @@ def __init__(
         self._max_kv_tokens_in = self._kv_cache_config.max_tokens
         self._max_num_tokens = max_num_tokens
         self._max_beam_width = max_beam_width
-        self._dummy_reqs = self._create_dummy_context_requests(net_max_seq_len -
-                                                               1)
         self._kv_connector_manager = kv_connector_manager
         self._pytorch_backend_config = pytorch_backend_config
         self._speculative_config = speculative_config
         self._tokens_per_block = tokens_per_block
         self._max_seq_len = max_seq_len
         self._max_batch_size = max_batch_size
+        self._dummy_reqs = self._create_dummy_context_requests(net_max_seq_len -
+                                                               1)
 
     @staticmethod
     def _get_cache_size_per_token(model_config: ModelConfig,
@@ -196,6 +196,10 @@ def _get_token_num_for_estimation(self) -> int:
         if spec_cfg is not None:
             num_extra_tokens_per_seq += spec_cfg.max_draft_len
             num_extra_tokens_per_seq += get_num_extra_kv_tokens(spec_cfg)
+
+        if self._dummy_reqs is None:
+            self._dummy_reqs = self._create_dummy_context_requests(
+                max(1, self.net_max_seq_len - 1))
         for req in self._dummy_reqs:
             num_req_tokens = len(req.input_token_ids) + num_extra_tokens_per_seq
             # Requests cannot share KV cache blocks. Round up to nearest integer multiple of block size.
@@ -480,6 +484,10 @@ def _create_kv_cache_manager(
         if model_engine.kv_cache_manager_key == ResourceManagerType.KV_CACHE_MANAGER:
             self._max_seq_len = kv_cache_manager.max_seq_len
 
+        # When SWA is enabled, max_seq_len is updated inside kv_cache_manager.
+        if kv_cache_manager is not None:
+            self._max_seq_len = kv_cache_manager.max_seq_len
+
         return kv_cache_manager
 
     def build_managers(self,
diff --git a/tensorrt_llm/_torch/pyexecutor/resource_manager.py b/tensorrt_llm/_torch/pyexecutor/resource_manager.py
index 6298db0146d..bafa8d113b2 100644
--- a/tensorrt_llm/_torch/pyexecutor/resource_manager.py
+++ b/tensorrt_llm/_torch/pyexecutor/resource_manager.py
@@ -582,7 +582,7 @@ def calculate_max_num_blocks(self,
             if kv_cache_config.free_gpu_memory_fraction is not None:
                 max_tokens = min(kv_cache_config.max_tokens, max_tokens)
                 logger.warning(
-                    f'Both free_gpu_memory_fraction and max_tokens are set (to {free_mem_fraction} and {kv_cache_config.max_tokens}, respectively). The smaller value will be used.'
+                    f'Both free_gpu_memory_fraction and max_tokens are set (to {free_mem_fraction} and {max_tokens} with free memory {free_mem / (1 << 32)} of total memory {total_mem / (1<<32)}, respectively). The smaller value will be used.'
                 )
             else:
                 max_tokens = kv_cache_config.max_tokens

From 2d46dda6a7f8d62a8f1910ccd42c0e7df68d5c9a Mon Sep 17 00:00:00 2001
From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
Date: Mon, 1 Sep 2025 16:00:43 +0800
Subject: [PATCH 52/76] [https://nvbugs/5448754][fix] Download HF model for all
 nodes. (#6824)

Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 jenkins/L0_Test.groovy                        | 13 ++++---
 tensorrt_llm/llmapi/llm_utils.py              | 36 +++++++++++++++----
 .../defs/accuracy/test_llm_api_pytorch.py     | 19 +++++++---
 .../test-db/l0_gb200_multi_nodes.yml          |  6 ++--
 4 files changed, 54 insertions(+), 20 deletions(-)

diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy
index 4188fc7731b..7b21ad2c0b2 100644
--- a/jenkins/L0_Test.groovy
+++ b/jenkins/L0_Test.groovy
@@ -2184,19 +2184,18 @@ def launchTestJobs(pipeline, testFilter)
     ]
     fullSet += SBSASlurmTestConfigs.keySet()
 
-    multiNodesSBSAConfigs = [
+    // multiNodesSBSAConfigs = [
         // Each stage test 1 testcase with 8 GPUs and 2 nodes.
         // Disable GB200 multi-node testing in L0 pre-merge until the configuration issue is resolved (https://nvbugs/5455140)
         // "GB200-8_GPUs-2_Nodes-PyTorch-1": ["gb200-multi-node", "l0_gb200_multi_nodes", 1, 4, 8, 2],
         // "GB200-8_GPUs-2_Nodes-PyTorch-2": ["gb200-multi-node", "l0_gb200_multi_nodes", 2, 4, 8, 2],
         // "GB200-8_GPUs-2_Nodes-PyTorch-3": ["gb200-multi-node", "l0_gb200_multi_nodes", 3, 4, 8, 2],
         // "GB200-8_GPUs-2_Nodes-PyTorch-4": ["gb200-multi-node", "l0_gb200_multi_nodes", 4, 4, 8, 2],
-        "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-1": ["gb200-multi-node", "l0_gb200_multi_nodes", 1, 5, 8, 2],
-        "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-2": ["gb200-multi-node", "l0_gb200_multi_nodes", 2, 5, 8, 2],
-        "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-3": ["gb200-multi-node", "l0_gb200_multi_nodes", 3, 5, 8, 2],
-        "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-4": ["gb200-multi-node", "l0_gb200_multi_nodes", 4, 5, 8, 2],
-        "GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-5": ["gb200-multi-node", "l0_gb200_multi_nodes", 5, 5, 8, 2],
-    ]
+    // ]
+    multiNodesSBSAConfigs = [:]
+    multiNodesSBSAConfigs += (1..7).collectEntries { i ->
+        ["GB200-8_GPUs-2_Nodes-PyTorch-Post-Merge-${i}".toString(), ["gb200-multi-node", "l0_gb200_multi_nodes", i, 7, 8, 2]]
+    }
     fullSet += multiNodesSBSAConfigs.keySet()
 
     if (env.targetArch == AARCH64_TRIPLE) {
diff --git a/tensorrt_llm/llmapi/llm_utils.py b/tensorrt_llm/llmapi/llm_utils.py
index e55735043e9..985e5bb3d20 100644
--- a/tensorrt_llm/llmapi/llm_utils.py
+++ b/tensorrt_llm/llmapi/llm_utils.py
@@ -7,13 +7,13 @@
 import weakref
 from dataclasses import asdict, dataclass, field
 from pathlib import Path
-from typing import Callable, List, Optional, Tuple, Union
+from typing import Any, Callable, List, Optional, Tuple, Union
 
 import torch
 from tqdm import tqdm
 
-from .._utils import (global_mpi_rank, mpi_barrier, mpi_broadcast, mpi_rank,
-                      release_gc)
+from .._utils import (global_mpi_rank, local_mpi_rank, mpi_barrier,
+                      mpi_broadcast, mpi_rank, release_gc)
 from ..auto_parallel import AutoParallelConfig
 # yapf: disable
 from ..bindings.executor import (BatchingType, CapacitySchedulerPolicy,
@@ -616,6 +616,17 @@ def workspace(self) -> Path:
             self._workspace, tempfile.TemporaryDirectory) else Path(
                 self._workspace)
 
+    def _submit_to_all_workers(
+        self,
+        task: Callable[..., Any],
+        *args,
+        **kwargs,
+    ) -> List[Any]:
+        if self.llm_args.parallel_config.is_multi_gpu:
+            return self.mpi_session.submit_sync(task, *args, **kwargs)
+        else:
+            return [task(*args, **kwargs)]
+
     def __call__(self) -> Tuple[Path, Union[Path, None]]:
 
         if self.llm_args.model_format is _ModelFormatKind.TLLM_ENGINE:
@@ -636,9 +647,11 @@ def __call__(self) -> Tuple[Path, Union[Path, None]]:
                     f'backend {self.llm_args.backend} is not supported.')
 
             if self.model_loader.model_obj.is_hub_model:
-                self._hf_model_dir = download_hf_model(
-                    self.model_loader.model_obj.model_name,
-                    self.llm_args.revision)
+                hf_model_dirs = self._submit_to_all_workers(
+                    CachedModelLoader._node_download_hf_model,
+                    model=self.model_loader.model_obj.model_name,
+                    revision=self.llm_args.revision)
+                self._hf_model_dir = hf_model_dirs[0]
             else:
                 self._hf_model_dir = self.model_loader.model_obj.model_dir
 
@@ -815,6 +828,17 @@ def build_task(engine_dir: Path):
 
         return self.get_engine_dir()
 
+    @print_traceback_on_error
+    @staticmethod
+    def _node_download_hf_model(
+        model: str,
+        revision: Optional[str] = None,
+    ) -> Optional[Path]:
+        if local_mpi_rank() == 0:
+            return download_hf_model(model, revision)
+        else:
+            return None
+
     @print_traceback_on_error
     @staticmethod
     def _node_build_task(
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index d8639e19149..02da8def9f3 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -2513,16 +2513,25 @@ def test_fp8_block_scales(self, tp_size, pp_size, ep_size, attention_dp,
             task.evaluate(llm)
 
     @pytest.mark.parametrize(
-        "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler",
-        [(1, 1, 1, False, True, True)],
-        ids=["latency"])
+        "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler,is_cached",
+        [(1, 1, 1, False, True, True, True),
+         pytest.param(8,
+                      1,
+                      1,
+                      False,
+                      True,
+                      True,
+                      False,
+                      marks=pytest.mark.skip_less_mpi_world_size(8))],
+        ids=["latency", "multi_gpus_no_cache"])
     def test_bf16(self, tp_size, pp_size, ep_size, attention_dp, cuda_graph,
-                  overlap_scheduler):
+                  overlap_scheduler, is_cached):
         pytorch_config = dict(
             disable_overlap_scheduler=not overlap_scheduler,
             cuda_graph_config=CudaGraphConfig() if cuda_graph else None)
 
-        with LLM(f"{llm_models_root()}/Qwen3/Qwen3-8B",
+        with LLM(f"{llm_models_root()}/Qwen3/Qwen3-8B"
+                 if is_cached else "Qwen/Qwen3-8B",
                  tensor_parallel_size=tp_size,
                  pipeline_parallel_size=pp_size,
                  moe_expert_parallel_size=ep_size,
diff --git a/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml b/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
index 7cab7535b89..3364395a840 100644
--- a/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
+++ b/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
@@ -33,5 +33,7 @@ l0_gb200_multi_nodes:
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_tp8] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency_trtllmgen] TIMEOUT (180)
-  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] TIMEOUT (90)
-  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] TIMEOUT (90)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] TIMEOUT (180)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] TIMEOUT (180)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm_eagle3] TIMEOUT (180)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_bf16[multi_gpus_no_cache] TIMEOUT (180)

From afca2fcbe05b55ca53861bdd27343a0ee62b4297 Mon Sep 17 00:00:00 2001
From: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Date: Thu, 4 Sep 2025 10:10:43 +0800
Subject: [PATCH 53/76] [https://nvbugs/5351244][fix] test_mpi_session (#7501)

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tests/unittest/llmapi/test_mpi_session.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/tests/unittest/llmapi/test_mpi_session.py b/tests/unittest/llmapi/test_mpi_session.py
index 484caf7381e..bedce258c26 100644
--- a/tests/unittest/llmapi/test_mpi_session.py
+++ b/tests/unittest/llmapi/test_mpi_session.py
@@ -54,11 +54,13 @@ def run_client(server_addr, values_to_process):
         return f"Error in client: {str(e)}"
 
 
-@pytest.mark.skip(reason="https://nvbugs/5351244")
 @pytest.mark.parametrize("task_type", ["submit", "submit_sync"])
 def test_remote_mpi_session(task_type: Literal["submit", "submit_sync"]):
     """Test RemoteMpiPoolSessionClient and RemoteMpiPoolSessionServer interaction"""
-    command = ["bash", "_test_remote_mpi_session.sh", task_type]
+    cur_dir = os.path.dirname(os.path.abspath(__file__))
+    test_file = os.path.join(cur_dir, "_test_remote_mpi_session.sh")
+    assert os.path.exists(test_file), f"Test file {test_file} does not exist"
+    command = ["bash", test_file, task_type]
     print(' '.join(command))
 
     with Popen(command,

From 3cc16c2438a61885fa42d02ba541ca05c2182d98 Mon Sep 17 00:00:00 2001
From: Yukun He <23156053+hyukn@users.noreply.github.com>
Date: Thu, 4 Sep 2025 19:09:43 +0800
Subject: [PATCH 54/76] [https://nvbugs/5496960][fix] Fix Gemma model forward.
 (#7509)

Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tensorrt_llm/models/gemma/model.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/tensorrt_llm/models/gemma/model.py b/tensorrt_llm/models/gemma/model.py
index 2091f111f85..0a07b3e143e 100644
--- a/tensorrt_llm/models/gemma/model.py
+++ b/tensorrt_llm/models/gemma/model.py
@@ -157,10 +157,13 @@ def forward(self,
                 if default_net().plugin_config.reduce_fusion else
                 AllReduceFusionOp.NONE,
                 residual=residual,
-                norm_weight=self.pre_feedforward_layernorm.weight.value,
-                norm_pre_residual_weight=self.post_layernorm.weight.value
+                norm_weight=self.pre_feedforward_layernorm.weight.value
                 if self.config.inter_layernorms else None,
-                eps=self.pre_feedforward_layernorm.eps))
+                norm_pre_residual_weight=self.post_layernorm.weight.value,
+                eps=self.pre_feedforward_layernorm.eps
+                if self.config.inter_layernorms else 1e-06,
+            ),
+        )
 
         if use_cache:
             attention_output, presents = attention_output

From af34c9713a7019111ffb0c967b27d237a2da802d Mon Sep 17 00:00:00 2001
From: HuiGao-NV <huig@nvidia.com>
Date: Tue, 9 Sep 2025 08:32:31 +0800
Subject: [PATCH 55/76] [https://nvbugs/5474169][fix] seq_len mismatch between
 kv cache manager and graph attn metadata (#7606)

Signed-off-by: Hui Gao <huig@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tensorrt_llm/_torch/pyexecutor/_util.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tensorrt_llm/_torch/pyexecutor/_util.py b/tensorrt_llm/_torch/pyexecutor/_util.py
index 16986acaa13..e8d68a59381 100644
--- a/tensorrt_llm/_torch/pyexecutor/_util.py
+++ b/tensorrt_llm/_torch/pyexecutor/_util.py
@@ -486,6 +486,9 @@ def _create_kv_cache_manager(
 
         # When SWA is enabled, max_seq_len is updated inside kv_cache_manager.
         if kv_cache_manager is not None:
+            if kv_cache_manager.max_seq_len < self._max_seq_len:
+                self._dummy_reqs = self._create_dummy_context_requests(
+                    max(1, kv_cache_manager.max_seq_len - 1))
             self._max_seq_len = kv_cache_manager.max_seq_len
 
         return kv_cache_manager

From 541b7fda8927110d381958f0bd5595f3efd75775 Mon Sep 17 00:00:00 2001
From: peaceh-nv <103117813+peaceh-nv@users.noreply.github.com>
Date: Tue, 9 Sep 2025 09:29:07 +0800
Subject: [PATCH 56/76] [https://nvbugs/5503423][waive] Waive Llama3.1-70B-FP8
 test on RTX PRO 6000 (#7603)

Signed-off-by: peaceh <103117813+peaceh-nv@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tests/integration/test_lists/test-db/l0_rtx_pro_6000.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/integration/test_lists/test-db/l0_rtx_pro_6000.yml b/tests/integration/test_lists/test-db/l0_rtx_pro_6000.yml
index 49c29329dc7..4ddb3eb7493 100644
--- a/tests/integration/test_lists/test-db/l0_rtx_pro_6000.yml
+++ b/tests/integration/test_lists/test-db/l0_rtx_pro_6000.yml
@@ -26,7 +26,6 @@ l0_rtx_pro_6000:
   - test_e2e.py::test_ptp_quickstart_advanced[Llama3.1-8B-NVFP4-nvfp4-quantized/Meta-Llama-3.1-8B]
   - test_e2e.py::test_ptp_quickstart_advanced[Llama3.1-8B-FP8-llama-3.1-model/Llama-3.1-8B-Instruct-FP8]
   - test_e2e.py::test_ptp_quickstart_advanced[Llama3.1-70B-NVFP4-nvfp4-quantized/Meta-Llama-3.1-70B] TIMEOUT (90)
-  - test_e2e.py::test_ptp_quickstart_advanced[Llama3.1-70B-FP8-llama-3.1-model/Llama-3.1-70B-Instruct-FP8]
   - test_e2e.py::test_ptp_quickstart_advanced[Nemotron-Super-49B-v1-NVFP4-nvfp4-quantized/Llama-3_3-Nemotron-Super-49B-v1_nvfp4_hf]
   - test_e2e.py::test_ptp_quickstart_advanced[Nemotron-Super-49B-v1-FP8-nemotron-nas/Llama-3_3-Nemotron-Super-49B-v1-FP8]
   - test_e2e.py::test_ptp_quickstart_advanced[Mixtral-8x7B-NVFP4-nvfp4-quantized/Mixtral-8x7B-Instruct-v0.1]

From 99995846b3c28fbcbd12f8f012496f000d097966 Mon Sep 17 00:00:00 2001
From: Simeng Liu <109828133+SimengLiu-nv@users.noreply.github.com>
Date: Mon, 8 Sep 2025 21:04:14 -0700
Subject: [PATCH 57/76] =?UTF-8?q?[https://nvbugs/5470782][chore]=20Remove?=
 =?UTF-8?q?=20the=20skip=20statement=20in=201.0=20rele=E2=80=A6=20(#7573)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Signed-off-by: Simeng Liu <simengl@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py b/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py
index 8b6ac42cd28..5a38f0d0788 100644
--- a/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py
+++ b/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py
@@ -17,7 +17,6 @@ def similar(a, b, threshold=0.9):
     return SequenceMatcher(None, a, b).ratio() >= threshold
 
 
-@pytest.mark.skip(reason="https://nvbugs/5470782")
 @pytest.mark.parametrize("model_name", ["DeepSeek-V3-Lite"],
                          ids=["deepseekv3_lite"])
 @pytest.mark.parametrize("backend", ["TRTLLM"], ids=["trtllm"])

From 2ffc33921f52a5a7b5a9069e041057ee08e97999 Mon Sep 17 00:00:00 2001
From: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Date: Mon, 8 Sep 2025 16:42:54 +0800
Subject: [PATCH 58/76] [https://nvbugs/5416501][doc] add known issues to
 llmapi doc (#7560)

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Co-authored-by: Ryan McCormick <mccormick.codes@gmail.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/llm-api/index.md | 25 +++++++++++++++++++++----
 1 file changed, 21 insertions(+), 4 deletions(-)

diff --git a/docs/source/llm-api/index.md b/docs/source/llm-api/index.md
index 918fe3da3b0..636dec30665 100644
--- a/docs/source/llm-api/index.md
+++ b/docs/source/llm-api/index.md
@@ -53,26 +53,43 @@ llm = LLM(model=<local_path_to_model>)
 
 The following tips typically assist new LLM API users who are familiar with other APIs that are part of TensorRT-LLM:
 
-- RuntimeError: only rank 0 can start multi-node session, got 1
+### RuntimeError: only rank 0 can start multi-node session, got 1
 
   There is no need to add an `mpirun` prefix for launching single node multi-GPU inference with the LLM API.
 
   For example, you can run `python llm_inference_distributed.py` to perform multi-GPU on a single node.
 
-- Hang issue on Slurm Node
+### Hang issue on Slurm Node
 
   If you experience a hang or other issue on a node managed with Slurm, add prefix `mpirun -n 1 --oversubscribe --allow-run-as-root` to your launch script.
 
   For example, try `mpirun -n 1 --oversubscribe --allow-run-as-root python llm_inference_distributed.py`.
 
-- MPI_ABORT was invoked on rank 1 in communicator MPI_COMM_WORLD with errorcode 1.
+### MPI_ABORT was invoked on rank 1 in communicator MPI_COMM_WORLD with errorcode 1.
 
   Because the LLM API relies on the `mpi4py` library, put the LLM class in a function and protect the main entrypoint to the program under the `__main__` namespace to avoid a [recursive spawn](https://mpi4py.readthedocs.io/en/stable/mpi4py.futures.html#mpipoolexecutor) process in `mpi4py`.
 
   This limitation is applicable for multi-GPU inference only.
 
-- Cannot quit after generation
+### Cannot quit after generation
 
   The LLM instance manages threads and processes, which may prevent its reference count from reaching zero. To address this issue, there are two common solutions:
   1. Wrap the LLM instance in a function, as demonstrated in the quickstart guide. This will reduce the reference count and trigger the shutdown process.
   2. Use LLM as an contextmanager, with the following code: `with LLM(...) as llm: ...`, the shutdown methed will be invoked automatically once it goes out of the `with`-statement block.
+
+### Single node hanging when using `docker run --net=host`
+
+The root cause may be related to `mpi4py`. There is a [workaround](https://github.com/mpi4py/mpi4py/discussions/491#discussioncomment-12660609) suggesting a change from `--net=host` to `--ipc=host`, or setting the following environment variables:
+
+```bash
+export OMPI_MCA_btl_tcp_if_include=lo
+export OMPI_MCA_oob_tcp_if_include=lo
+```
+
+Another option to improve compatibility with `mpi4py` is to launch the task using:
+
+```bash
+mpirun -n 1 --oversubscribe --allow-run-as-root python my_llm_task.py
+```
+
+This command can help avoid related runtime issues.

From 8fed8ee06660f05d5bc9aa81ffcac6b4a197ca01 Mon Sep 17 00:00:00 2001
From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Date: Tue, 2 Sep 2025 02:04:45 +0800
Subject: [PATCH 59/76] [None][doc] add blackwell information into support
 matrix (#6740)

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/legacy/reference/support-matrix.md | 1 +
 docs/source/overview.md                        | 6 ++++--
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/docs/source/legacy/reference/support-matrix.md b/docs/source/legacy/reference/support-matrix.md
index 0a2b998172d..d110d7599ab 100644
--- a/docs/source/legacy/reference/support-matrix.md
+++ b/docs/source/legacy/reference/support-matrix.md
@@ -157,6 +157,7 @@ The following table shows the supported software for TensorRT-LLM.
   - [10.11](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html)
 * - Precision
   -
+    - Blackwell (SM100/SM120) - FP32, FP16, BF16, FP8, FP4, INT8, INT4
     - Hopper (SM90) - FP32, FP16, BF16, FP8, INT8, INT4
     - Ada Lovelace (SM89) - FP32, FP16, BF16, FP8, INT8, INT4
     - Ampere (SM80, SM86) - FP32, FP16, BF16, INT8, INT4[^smgte89]
diff --git a/docs/source/overview.md b/docs/source/overview.md
index 0665ed97461..d7321bc567e 100644
--- a/docs/source/overview.md
+++ b/docs/source/overview.md
@@ -25,8 +25,10 @@ TensorRT LLM delivers breakthrough performance on the latest NVIDIA GPUs:
 
 TensorRT LLM supports the latest and most popular LLM architectures:
 
-- **Language Models**: GPT-OSS, Deepseek-R1/V3, Llama 3/4, Qwen2/3, Gemma 3, Phi 4...
-- **Multi-modal Models**: LLaVA-NeXT, Qwen2-VL, VILA, Llama 3.2 Vision...
+### FP4 Support
+[NVIDIA B200 GPUs](https://www.nvidia.com/en-us/data-center/dgx-b200/) , when used with TensorRT-LLM, enable seamless loading of model weights in the new [FP4 format](https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-precision-inference/#what_is_nvfp4), allowing you to automatically leverage optimized FP4 kernels for efficient and accurate low-precision inference.
+
+### FP8 Support
 
 TensorRT LLM strives to support the most popular models on **Day 0**.
 

From 5c5417305477eef6d5022b7611e04deb16144765 Mon Sep 17 00:00:00 2001
From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Date: Tue, 9 Sep 2025 12:49:28 +0800
Subject: [PATCH 60/76] [None][doc] Fix a invalid link and a typo. (#7634)

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 .../features/auto_deploy/advanced/expert_configurations.md      | 2 +-
 docs/source/features/quantization.md                            | 2 +-
 docs/source/overview.md                                         | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/source/features/auto_deploy/advanced/expert_configurations.md b/docs/source/features/auto_deploy/advanced/expert_configurations.md
index 76ba2fe2b4f..60cfd197a97 100644
--- a/docs/source/features/auto_deploy/advanced/expert_configurations.md
+++ b/docs/source/features/auto_deploy/advanced/expert_configurations.md
@@ -1,6 +1,6 @@
 # Expert Configuration of LLM API
 
-For advanced TensorRT-LLM users, the full set of `tensorrt_llm._torch.auto_deploy.llm_args.LlmArgs` is exposed. Use at your own risk. The argument list may diverge from the standard TRT-LLM argument list.
+For advanced TensorRT LLM users, the full set of `tensorrt_llm._torch.auto_deploy.llm_args.LlmArgs` is exposed. Use at your own risk. The argument list may diverge from the standard TensorRT LLM argument list.
 
 - All configuration fields used by the AutoDeploy core pipeline, `InferenceOptimizer`, are exposed exclusively in `AutoDeployConfi`g in `tensorrt_llm._torch.auto_deploy.llm_args`.
   Please make sure to refer to those first.
diff --git a/docs/source/features/quantization.md b/docs/source/features/quantization.md
index 2adcc6992c8..8a0e160529f 100644
--- a/docs/source/features/quantization.md
+++ b/docs/source/features/quantization.md
@@ -2,7 +2,7 @@
 
 ## Quantization in TensorRT LLM
 
-Quantization is a technique used to reduces memory footprint and computational cost by converting the model's weights and/or activations from high-precision floating-point numbers (like BF16) to lower-precision data types, such as INT8, FP8, or FP4.
+Quantization is a technique used to reduce memory footprint and computational cost by converting the model's weights and/or activations from high-precision floating-point numbers (like BF16) to lower-precision data types, such as INT8, FP8, or FP4.
 
 TensorRT LLM offers a variety of quantization recipes to optimize LLM inference. These recipes can be broadly categorized as follows:
 
diff --git a/docs/source/overview.md b/docs/source/overview.md
index d7321bc567e..dc77d1242d2 100644
--- a/docs/source/overview.md
+++ b/docs/source/overview.md
@@ -26,7 +26,7 @@ TensorRT LLM delivers breakthrough performance on the latest NVIDIA GPUs:
 TensorRT LLM supports the latest and most popular LLM architectures:
 
 ### FP4 Support
-[NVIDIA B200 GPUs](https://www.nvidia.com/en-us/data-center/dgx-b200/) , when used with TensorRT-LLM, enable seamless loading of model weights in the new [FP4 format](https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-precision-inference/#what_is_nvfp4), allowing you to automatically leverage optimized FP4 kernels for efficient and accurate low-precision inference.
+[NVIDIA B200 GPUs](https://www.nvidia.com/en-us/data-center/dgx-b200/) , when used with TensorRT LLM, enable seamless loading of model weights in the new [FP4 format](https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-precision-inference/#what_is_nvfp4), allowing you to automatically leverage optimized FP4 kernels for efficient and accurate low-precision inference.
 
 ### FP8 Support
 

From ab915fb3332d077de69be0cf4d9bf969a0e9c4ca Mon Sep 17 00:00:00 2001
From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Date: Tue, 9 Sep 2025 16:34:05 +0800
Subject: [PATCH 61/76] [None][doc] Use hash id for external link (#7641)

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/conf.py                                   |  5 ++---
 docs/source/features/paged-attention-ifb-scheduler.md |  2 +-
 docs/source/features/sampling.md                      | 10 +++++-----
 docs/source/installation/build-from-source-linux.md   |  3 ++-
 4 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/source/conf.py b/docs/source/conf.py
index c531f1c06e2..aac1a6174bc 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -16,10 +16,9 @@
 
 sys.path.insert(0, os.path.abspath('.'))
 
-project = 'TensorRT-LLM'
+project = 'TensorRT LLM'
 copyright = '2025, NVidia'
 author = 'NVidia'
-branch_name = pygit2.Repository('.').head.shorthand
 html_show_sphinx = False
 
 # Get the git commit hash
@@ -79,7 +78,7 @@
     "https":
     None,
     "source":
-    "https://github.com/NVIDIA/TensorRT-LLM/tree/" + branch_name + "/{{path}}",
+    "https://github.com/NVIDIA/TensorRT-LLM/tree/" + commit_hash + "/{{path}}",
 }
 
 myst_heading_anchors = 4
diff --git a/docs/source/features/paged-attention-ifb-scheduler.md b/docs/source/features/paged-attention-ifb-scheduler.md
index 2057be56048..61900572a84 100644
--- a/docs/source/features/paged-attention-ifb-scheduler.md
+++ b/docs/source/features/paged-attention-ifb-scheduler.md
@@ -135,7 +135,7 @@ Overall, the max batch size and max num tokens limits play a key role in determi
 
 ## Revisiting Paged Context Attention and Context Chunking
 
-[Previously](./useful-build-time-flags.md#paged-context-attention) we recommended enabling paged context attention even though in our case study it didn't affect performance significantly. Now that we understand the TensorRT LLM scheduler, we can explain why this is beneficial. In short, we recommend enabling it because it enables context chunking, which allows the context phase of a request to be broken up into pieces and processed over several execution iterations, allowing the engine to provide a more stable balance of context and generation phase execution.
+Previously we recommended enabling paged context attention even though in our case study it didn't affect performance significantly. Now that we understand the TensorRT LLM scheduler, we can explain why this is beneficial. In short, we recommend enabling it because it enables context chunking, which allows the context phase of a request to be broken up into pieces and processed over several execution iterations, allowing the engine to provide a more stable balance of context and generation phase execution.
 
 The [visualization](#the-schedulers) of the TensorRT LLM scheduler showed that initially Request 3 couldn't be scheduled because it would put the scheduler over the max-num tokens limit. However, with context chunking, this is no longer the case, and the first chunk of Request 3 can be scheduled.
 
diff --git a/docs/source/features/sampling.md b/docs/source/features/sampling.md
index 686a4e7bd64..e0a44c67d34 100644
--- a/docs/source/features/sampling.md
+++ b/docs/source/features/sampling.md
@@ -6,7 +6,7 @@ The PyTorch backend supports most of the sampling features that are supported on
 To use the feature:
 
 1. Enable the `enable_trtllm_sampler` option in the `LLM` class
-2. Pass a [`SamplingParams`](../../../../tensorrt_llm/sampling_params.py#L125) object with the desired options to the `generate()` function
+2. Pass a [`SamplingParams`](source:tensorrt_llm/sampling_params.py#L125) object with the desired options to the `generate()` function
 
 The following example prepares two identical prompts which will give different results due to the sampling parameters chosen:
 
@@ -74,7 +74,7 @@ The PyTorch backend supports guided decoding with the XGrammar and Low-level Gui
 To enable guided decoding, you must:
 
 1. Set the `guided_decoding_backend` parameter to `'xgrammar'` or `'llguidance'` in the `LLM` class
-2. Create a [`GuidedDecodingParams`](../../../../tensorrt_llm/sampling_params.py#L14) object with the desired format specification
+2. Create a [`GuidedDecodingParams`](source:tensorrt_llm/sampling_params.py#L14) object with the desired format specification
     * Note: Depending on the type of format, a different parameter needs to be chosen to construct the object (`json`, `regex`, `grammar`, `structural_tag`).
 3. Pass the `GuidedDecodingParams` object to the `guided_decoding` parameter of the `SamplingParams` object
 
@@ -94,7 +94,7 @@ sampling_params = SamplingParams(
 llm.generate("Generate a JSON response", sampling_params)
 ```
 
-You can find a more detailed example on guided decoding [here](../../../../examples/llm-api/llm_guided_decoding.py).
+You can find a more detailed example on guided decoding [here](source:examples/llm-api/llm_guided_decoding.py).
 
 ## Logits processor
 
@@ -102,7 +102,7 @@ Logits processors allow you to modify the logits produced by the network before
 
 To use a custom logits processor:
 
-1. Create a custom class that inherits from [`LogitsProcessor`](../../../../tensorrt_llm/sampling_params.py#L48) and implements the `__call__` method
+1. Create a custom class that inherits from [`LogitsProcessor`](source:tensorrt_llm/sampling_params.py#L48) and implements the `__call__` method
 2. Pass an instance of this class to the `logits_processor` parameter of `SamplingParams`
 
 The following example demonstrates logits processing:
@@ -132,4 +132,4 @@ sampling_params = SamplingParams(
 llm.generate(["Hello, my name is"], sampling_params)
 ```
 
-You can find a more detailed example on logits processors [here](../../../../examples/llm-api/llm_logits_processor.py).
+You can find a more detailed example on logits processors [here](source:examples/llm-api/llm_logits_processor.py).
diff --git a/docs/source/installation/build-from-source-linux.md b/docs/source/installation/build-from-source-linux.md
index fb6adf93d4a..19dab71c769 100644
--- a/docs/source/installation/build-from-source-linux.md
+++ b/docs/source/installation/build-from-source-linux.md
@@ -185,7 +185,7 @@ example:
 python3 ./scripts/build_wheel.py --cuda_architectures "80-real;86-real"
 ```
 
-To use the C++ benchmark scripts under [benchmark/cpp](/benchmarks/cpp/), for example `gptManagerBenchmark.cpp`, add the `--benchmarks` option:
+To use the C++ benchmark scripts under [benchmark/cpp](source:benchmarks/cpp/), for example `gptManagerBenchmark.cpp`, add the `--benchmarks` option:
 
 ```bash
 python3 ./scripts/build_wheel.py --benchmarks
@@ -207,6 +207,7 @@ relevant classes. The associated unit tests should also be consulted for underst
 
 This feature will not be enabled when [`building only the C++ runtime`](#link-with-the-tensorrt-llm-c++-runtime).
 
+(link-with-the-tensorrt-llm-c++-runtime)=
 #### Linking with the TensorRT LLM C++ Runtime
 
 The `build_wheel.py` script will also compile the library containing the C++ runtime of TensorRT LLM. If Python support and `torch` modules are not required, the script provides the option `--cpp_only` which restricts the build to the C++ runtime only.

From 8879ec4d35ad73a097d17d4feb4485932e50318d Mon Sep 17 00:00:00 2001
From: brb-nv <169953907+brb-nv@users.noreply.github.com>
Date: Wed, 10 Sep 2025 20:34:25 -0700
Subject: [PATCH 62/76] [https://nvbugs/5501557][fix] Fix out-of-bounds vector
 access for model with multiple layer types (#7636)

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 .../trtGptModelInflightBatching.cpp           | 58 ++++++++-----
 .../trtGptModelInflightBatching.h             | 13 +++
 .../unit_tests/executor/executorTestSmall.cpp | 85 +++++++++++++++++++
 3 files changed, 133 insertions(+), 23 deletions(-)

diff --git a/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.cpp b/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.cpp
index ccab558e902..116091670d1 100644
--- a/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.cpp
+++ b/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.cpp
@@ -85,6 +85,40 @@ using tensorrt_llm::batch_manager::CacheTransceiverFactory;
 namespace tensorrt_llm::batch_manager
 {
 
+std::map<SizeType32, SizeType32> TrtGptModelInflightBatching::calculateCacheSizePerTokenForDisagg(
+    ModelConfig const& modelConfig, WorldConfig const& worldConfig,
+    std::vector<SizeType32> const& maxAttentionWindowVec, bool isCrossAttention, SizeType32 kvFactor)
+{
+    // These are the number of attention layers on this PP rank.
+    auto const numLocalAttnLayers
+        = modelConfig.getNbAttentionLayers(worldConfig.getPipelineParallelism(), worldConfig.getPipelineParallelRank());
+    // These are the number of attention layers on all previous PP ranks.
+    auto const numLowerRankAttnLayers = modelConfig.countLowerRankLayers(ModelConfig::LayerType::kATTENTION,
+        worldConfig.getPipelineParallelism(), worldConfig.getPipelineParallelRank());
+    // Use global ranks of attention layers to lookup from maxAttentionWindowVec.
+    auto const startAttnLayerId = numLowerRankAttnLayers;
+    auto const endAttnLayerId = numLowerRankAttnLayers + numLocalAttnLayers;
+    auto const numNonUniqueWindowSizes = static_cast<SizeType32>(maxAttentionWindowVec.size());
+    std::map<SizeType32, std::vector<SizeType32>> uniqueWindowSizeToLayers;
+    for (SizeType32 layerIdx = startAttnLayerId; layerIdx < endAttnLayerId; layerIdx++)
+    {
+        // maxAttentionWindowVec may or may not be stretched to the length of numLayers yet.
+        // If not stretched yet, we cycle through the window sizes.
+        auto const windowSize = maxAttentionWindowVec.at(layerIdx % numNonUniqueWindowSizes);
+        uniqueWindowSizeToLayers[windowSize].push_back(layerIdx);
+    }
+    std::map<SizeType32, SizeType32> cacheSizeBytesPerTokenPerWindow;
+    for (auto const& [windowSize, globalLayerIds] : uniqueWindowSizeToLayers)
+    {
+        auto const cacheSizePerToken = BaseKVCacheManager::calculateCacheSizePerTokenForSingleWindowSize(
+            modelConfig, globalLayerIds, isCrossAttention, kvFactor);
+        auto const cacheSizeBytesPerToken = cacheSizePerToken * BufferDataType(modelConfig.getKvDataType()).getSize();
+        cacheSizeBytesPerTokenPerWindow[windowSize] = cacheSizeBytesPerToken;
+    }
+
+    return cacheSizeBytesPerTokenPerWindow;
+};
+
 bool TrtGptModelInflightBatching::executorConfigIsValid(
     ModelConfig const& modelConfig, executor::ExecutorConfig const& executorConfig)
 {
@@ -266,32 +300,10 @@ TrtGptModelInflightBatching::TrtGptModelInflightBatching(std::shared_ptr<nvinfer
     }
     if (mModelConfig.isTransformerBased() && modelConfig.isKVCacheEnabled())
     {
-
-        auto calculateCacheSizePerToken
-            = [](ModelConfig const& modelConfig, WorldConfig const& worldConfig,
-                  std::vector<SizeType32> const& maxAttentionWindowVec, bool isCrossAttention, SizeType32 kvFactor)
-        {
-            auto [numKvHeadsPerLayerBegin, numKvHeadsPerLayerEnd] = modelConfig.getNumKvHeadsPerLayerLocalRange(
-                worldConfig.getPipelineParallelism(), worldConfig.getPipelineParallelRank(), isCrossAttention);
-            auto numKvHeadsPerLayer = std::vector<SizeType32>(numKvHeadsPerLayerBegin, numKvHeadsPerLayerEnd);
-            auto windowSizeLayers
-                = BaseKVCacheManager::groupLayersByWindowSize(maxAttentionWindowVec, modelConfig.getNbLayers());
-            std::map<SizeType32, SizeType32> cacheSizeBytesPerTokenPerWindow;
-            for (auto const& [windowSize, managedLayers] : windowSizeLayers)
-            {
-                auto const cacheSizePerToken = BaseKVCacheManager::calculateCacheSizePerTokenForSingleWindowSize(
-                    modelConfig, managedLayers, isCrossAttention, kvFactor);
-                auto const cacheSizeBytesPerToken
-                    = cacheSizePerToken * BufferDataType(modelConfig.getKvDataType()).getSize();
-                cacheSizeBytesPerTokenPerWindow[windowSize] = cacheSizeBytesPerToken;
-            }
-
-            return cacheSizeBytesPerTokenPerWindow;
-        };
         auto cacheTransceiverConfig
             = executorConfig.getCacheTransceiverConfig().value_or(executor::CacheTransceiverConfig());
 
-        auto const cacheSizeBytesPerTokenPerWindow = calculateCacheSizePerToken(
+        auto const cacheSizeBytesPerTokenPerWindow = calculateCacheSizePerTokenForDisagg(
             mModelConfig, mWorldConfig, getMaxAttentionWindowVec(), mModelConfig.useCrossAttention(), 2);
         auto cacheTransPreAllocaSize = kv_cache_manager::CacheTransBufferManager::preAllocBufferSize(
             cacheSizeBytesPerTokenPerWindow, cacheTransceiverConfig);
diff --git a/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.h b/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.h
index 079d6340d58..1478172ddf9 100644
--- a/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.h
+++ b/cpp/tensorrt_llm/batch_manager/trtGptModelInflightBatching.h
@@ -152,6 +152,19 @@ class TrtGptModelInflightBatching : public TrtGptModel
 
     ~TrtGptModelInflightBatching() override;
 
+    /// @brief Calculate the cache size per token for the disaggregated serving.
+    /// @param modelConfig Model configuration.
+    /// @param worldConfig World configuration.
+    /// @param maxAttentionWindowVec Maximum attention window vector. (may have fewer elements than numLayers, in which
+    /// case it cycles)
+    /// @param isCrossAttention Whether the attention is cross attention.
+    /// @param kvFactor KV factor.
+    /// @return Cache size per token for the disaggregated layers. Note that window size is not included in the result
+    /// here.
+    [[nodiscard]] static std::map<SizeType32, SizeType32> calculateCacheSizePerTokenForDisagg(
+        runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig,
+        std::vector<SizeType32> const& maxAttentionWindowVec, bool isCrossAttention, SizeType32 kvFactor);
+
     void terminateRequest(LlmRequestPtr const& llmRequest, bool pause = false) override;
 
     /// @brief Terminate request in the next forwardSync call that includes the request.
diff --git a/cpp/tests/unit_tests/executor/executorTestSmall.cpp b/cpp/tests/unit_tests/executor/executorTestSmall.cpp
index 472f56e8a6a..2987509f16a 100644
--- a/cpp/tests/unit_tests/executor/executorTestSmall.cpp
+++ b/cpp/tests/unit_tests/executor/executorTestSmall.cpp
@@ -11,6 +11,7 @@
 
 #include <random>
 #include <tuple>
+#include <unordered_map>
 
 namespace tensorrt_llm::testing
 {
@@ -201,4 +202,88 @@ INSTANTIATE_TEST_SUITE_P(Float, DecoderFloatTest, paramGenerator,
         return nameStringStream.str();
     });
 
+// Helper function to test calculateCacheSizePerToken with given parameters.
+std::map<runtime::SizeType32, runtime::SizeType32> calculateCacheSizePerTokenHelper(
+    std::vector<runtime::SizeType32> const& maxAttentionWindowVec, runtime::SizeType32 kvFactor = 2,
+    runtime::SizeType32 vocabSize = 32, runtime::SizeType32 nbLayers = 4, runtime::SizeType32 nbAttentionLayers = 4,
+    runtime::SizeType32 nbRnnLayers = 0, runtime::SizeType32 nbHeads = 8, runtime::SizeType32 hiddenSize = 512,
+    bool isCrossAttention = false)
+{
+    // Create minimal ModelConfig for testing.
+    auto modelConfig = runtime::ModelConfig(
+        vocabSize, nbLayers, nbAttentionLayers, nbRnnLayers, nbHeads, hiddenSize, nvinfer1::DataType::kFLOAT);
+    modelConfig.useGptAttentionPlugin(true);
+    modelConfig.setModelVariant(runtime::ModelConfig::ModelVariant::kGpt);
+    modelConfig.setKVCacheType(runtime::ModelConfig::KVCacheType::kPAGED);
+
+    auto const worldConfig = runtime::WorldConfig();
+
+    return batch_manager::TrtGptModelInflightBatching::calculateCacheSizePerTokenForDisagg(
+        modelConfig, worldConfig, maxAttentionWindowVec, isCrossAttention, kvFactor);
+}
+
+// Test for TrtGptModelInflightBatching::calculateCacheSizePerToken function with different layer types.
+TEST(TrtInflightBatchingTest, CalculateCacheSizePerTokenForDisagg)
+{
+    // Common parameters.
+    constexpr runtime::SizeType32 nbLayers = 5;
+    constexpr runtime::SizeType32 hiddenSize = 512;
+    constexpr runtime::SizeType32 kvFactor = 2;
+    constexpr runtime::SizeType32 vocabSize = 32;
+    constexpr runtime::SizeType32 nbHeads = 8;
+    // Test case 1: Single attention window size - attention layers only.
+    {
+        std::vector<runtime::SizeType32> maxAttentionWindowVec = {128};
+        constexpr runtime::SizeType32 nbAttentionLayers = 5;
+        constexpr runtime::SizeType32 numBytesPerFloatElement = 4;
+        constexpr runtime::SizeType32 nbRnnLayers = 0;
+        auto result = calculateCacheSizePerTokenHelper(maxAttentionWindowVec, kvFactor, vocabSize, nbLayers,
+            nbAttentionLayers, nbRnnLayers, nbHeads, hiddenSize, false);
+        EXPECT_EQ(result.size(), 1);
+        EXPECT_EQ(result.at(128), nbAttentionLayers * kvFactor * hiddenSize * numBytesPerFloatElement);
+    }
+
+    // Test case 2: Multiple attention window sizes - attention layers only.
+    {
+        std::vector<runtime::SizeType32> maxAttentionWindowVec = {128, 256};
+        constexpr runtime::SizeType32 nbAttentionLayers = 5;
+        constexpr runtime::SizeType32 numBytesPerFloatElement = 4;
+        constexpr runtime::SizeType32 nbRnnLayers = 0;
+        auto result = calculateCacheSizePerTokenHelper(maxAttentionWindowVec, kvFactor, vocabSize, nbLayers,
+            nbAttentionLayers, nbRnnLayers, nbHeads, hiddenSize, false);
+        EXPECT_EQ(result.size(), 2);
+        auto const nbAttentionLayersIn128Window = 3;
+        auto const nbAttentionLayersIn256Window = 2;
+        EXPECT_EQ(result.at(128), nbAttentionLayersIn128Window * kvFactor * hiddenSize * numBytesPerFloatElement);
+        EXPECT_EQ(result.at(256), nbAttentionLayersIn256Window * kvFactor * hiddenSize * numBytesPerFloatElement);
+    }
+
+    // Test case 3: Single attention window size - attention and rnn layers.
+    {
+        std::vector<runtime::SizeType32> maxAttentionWindowVec = {128};
+        constexpr runtime::SizeType32 nbAttentionLayers = 3;
+        constexpr runtime::SizeType32 numBytesPerFloatElement = 4;
+        constexpr runtime::SizeType32 nbRnnLayers = 2;
+        auto result = calculateCacheSizePerTokenHelper(maxAttentionWindowVec, kvFactor, vocabSize, nbLayers,
+            nbAttentionLayers, nbRnnLayers, nbHeads, hiddenSize, false);
+        EXPECT_EQ(result.size(), 1);
+        EXPECT_EQ(result.at(128), nbAttentionLayers * kvFactor * hiddenSize * numBytesPerFloatElement);
+    }
+
+    // Test case 4: Multiple attention window sizes - attention and rnn layers.
+    {
+        std::vector<runtime::SizeType32> maxAttentionWindowVec = {128, 256};
+        constexpr runtime::SizeType32 nbAttentionLayers = 3;
+        constexpr runtime::SizeType32 numBytesPerFloatElement = 4;
+        constexpr runtime::SizeType32 nbRnnLayers = 2;
+        auto result = calculateCacheSizePerTokenHelper(maxAttentionWindowVec, kvFactor, vocabSize, nbLayers,
+            nbAttentionLayers, nbRnnLayers, nbHeads, hiddenSize, false);
+        EXPECT_EQ(result.size(), 2);
+        auto const nbAttentionLayersIn128Window = 2;
+        auto const nbAttentionLayersIn256Window = 1;
+        EXPECT_EQ(result.at(128), nbAttentionLayersIn128Window * kvFactor * hiddenSize * numBytesPerFloatElement);
+        EXPECT_EQ(result.at(256), nbAttentionLayersIn256Window * kvFactor * hiddenSize * numBytesPerFloatElement);
+    }
+}
+
 } // namespace tensorrt_llm::testing

From 5c8b022d1ebd486e143ba3ad7ab1627787cc8512 Mon Sep 17 00:00:00 2001
From: Yanchao Lu <yanchaol@nvidia.com>
Date: Mon, 15 Sep 2025 09:24:04 +0800
Subject: [PATCH 63/76] [None][ci] Test waives for the release/1.0 branch 09/15
 (#7700)

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tests/integration/test_lists/waives.txt                   | 2 +-
 tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py | 3 +++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 685523fb4ca..c9693c512e5 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -330,7 +330,6 @@ full:A100/test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8
 test_e2e.py::test_ptp_scaffolding[DeepSeek-R1-Distill-Qwen-7B-DeepSeek-R1/DeepSeek-R1-Distill-Qwen-7B] SKIP (https://nvbugs/5517260)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5522746)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-tp2pp2-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5522746)
-test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-image-False] SKIP (https://nvbugs/5523925)
 test_e2e.py::test_ptp_quickstart_multimodal[NVILA-8B-FP16-vila/NVILA-8B-image-False] SKIP (https://nvbugs/5509024)
 test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-False] SKIP (https://nvbugs/5509024)
 test_e2e.py::test_ptp_quickstart_multimodal[qwen2.5-vl-7b-instruct-Qwen2.5-VL-7B-Instruct-video-True] SKIP (https://nvbugs/5509024)
@@ -343,3 +342,4 @@ test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistr
 accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput] SKIP (https://nvbugs/5481198)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[latency] SKIP (https://nvbugs/5481198)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[throughput] SKIP (https://nvbugs/5481198)
+accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency_trtllmgen] SKIP (https://nvbugs/5516845)
diff --git a/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py b/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py
index 5a38f0d0788..a94e89c743f 100644
--- a/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py
+++ b/tests/unittest/_torch/multi_gpu_modeling/test_deepseek.py
@@ -33,6 +33,9 @@ def test_deepseek_streaming(model_name, backend, quant, tp_size):
     is_fp8 = quant == "fp8"
     is_fp4 = quant == "fp4"
 
+    if tp_size == 4:
+        pytest.skip(f"https://nvbugs/5515753")
+
     if torch.cuda.device_count() < tp_size:
         pytest.skip(f"Not enough GPUs available, need {tp_size} "
                     f"but only have {torch.cuda.device_count()}")

From bc7b50334c1e4b27da784388c8085d3179264ac7 Mon Sep 17 00:00:00 2001
From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Date: Mon, 15 Sep 2025 14:15:09 +0800
Subject: [PATCH 64/76] [None][doc] Add labels description note into llm api
 section (#7696)

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/helper.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/docs/source/helper.py b/docs/source/helper.py
index cb7622d9bf6..0835c8c7c28 100644
--- a/docs/source/helper.py
+++ b/docs/source/helper.py
@@ -310,6 +310,14 @@ def generate_llmapi():
     public_classes_names = extract_all_and_eval(llmapi_all_file)['__all__']
 
     content = underline("API Reference", "-") + "\n\n"
+    content += ".. note::\n"
+    content += "    Since version 1.0, we have attached a status label to `LLM`, `LlmArgs` and `TorchLlmArgs` Classes.\n\n"
+    content += '    1. :tag:`prototype` - The item is a prototype and is subject to change.\n'
+    content += '    2. :tag:`beta` - The item is in beta and approaching stability.\n'
+    content += '    3. :tag:`deprecated` - The item is deprecated and will be removed in a future release.\n'
+    content += "    4. For the remaining items without a status label, they are considered **stable**.\n"
+    content += "\n"
+
     for cls_name in public_classes_names:
         cls_name = cls_name.strip()
         options = [
@@ -328,7 +336,6 @@ def generate_llmapi():
 
         content += f".. autoclass:: tensorrt_llm.llmapi.{cls_name}\n"
         content += "\n".join(options) + "\n\n"
-
     with open(doc_path, "w+") as f:
         f.write(content)
 

From ef557f880b00d8fd3dd77cd5364cca5c4200a5d2 Mon Sep 17 00:00:00 2001
From: bhsueh_NV <11360707+byshiue@users.noreply.github.com>
Date: Mon, 15 Sep 2025 16:03:36 +0800
Subject: [PATCH 65/76] [https://nvbugs/5437405][fix] cherry-pick PR 7000
 (qwen3 235b eagle3 ci) (#7702)

Signed-off-by: bhsueh <11360707+byshiue@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 .../integration/test_lists/test-db/l0_gb200_multi_nodes.yml  | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml b/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
index 3364395a840..2c1d315b99e 100644
--- a/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
+++ b/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
@@ -33,7 +33,6 @@ l0_gb200_multi_nodes:
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_tp8] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency_trtllmgen] TIMEOUT (180)
-  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] TIMEOUT (180)
-  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] TIMEOUT (180)
-  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm_eagle3] TIMEOUT (180)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] TIMEOUT (90)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] TIMEOUT (90)
   - accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_bf16[multi_gpus_no_cache] TIMEOUT (180)

From 022bc96fb6c014bcd23c7b2e1a1c7f32d64cbb4d Mon Sep 17 00:00:00 2001
From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
Date: Mon, 15 Sep 2025 22:53:30 +0800
Subject: [PATCH 66/76] [https://nvbugs/5512734][fix] Update kv cache config
 for maverick (#7710)

Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tests/integration/defs/accuracy/test_llm_api_pytorch.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index 02da8def9f3..d8d77b7d37e 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -704,6 +704,7 @@ def test_fp8(self, cuda_graph, tp_size, pp_size, ep_size):
         if get_device_count() != tp_size * pp_size:
             pytest.skip("Device count mismatch with world size")
 
+        kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.75)
         with LLM(
                 f"{llm_models_root()}/llama4-models/nvidia/Llama-4-Maverick-17B-128E-Instruct-FP8",
                 tensor_parallel_size=tp_size,
@@ -711,6 +712,7 @@ def test_fp8(self, cuda_graph, tp_size, pp_size, ep_size):
                 max_seq_len=8192,
                 pipeline_parallel_size=pp_size,
                 moe_expert_parallel_size=ep_size,
+                kv_cache_config=kv_cache_config,
                 cuda_graph_config=CudaGraphConfig()
                 if cuda_graph else None) as llm:
             assert llm.args.quant_config.quant_algo == QuantAlgo.FP8

From f9c9c3f50a64543119258321b2d0f9dc8850f527 Mon Sep 17 00:00:00 2001
From: Yi Zhang <187001205+yizhang-nv@users.noreply.github.com>
Date: Tue, 16 Sep 2025 10:33:35 +0800
Subject: [PATCH 67/76] [https://nvbugs/5355219][fix] Fix trtllm moe backend 
 test config and Qwen3 MoE multi node (#7724)

Signed-off-by: Yi Zhang <187001205+yizhang-nv@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tensorrt_llm/_torch/models/modeling_qwen3_moe.py    | 13 ++++++++-----
 .../defs/accuracy/test_llm_api_pytorch.py           |  4 ++++
 .../integration/test_lists/qa/llm_function_core.txt |  1 +
 .../test_lists/test-db/l0_gb200_multi_nodes.yml     |  1 +
 tests/integration/test_lists/waives.txt             |  1 +
 5 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/tensorrt_llm/_torch/models/modeling_qwen3_moe.py b/tensorrt_llm/_torch/models/modeling_qwen3_moe.py
index 221478edf8e..ba7f6026ed5 100644
--- a/tensorrt_llm/_torch/models/modeling_qwen3_moe.py
+++ b/tensorrt_llm/_torch/models/modeling_qwen3_moe.py
@@ -5,6 +5,7 @@
 from torch import nn
 from transformers import Qwen3MoeConfig
 
+from tensorrt_llm._ipc_utils import can_access_peer
 from tensorrt_llm._torch.models.checkpoints.base_weight_mapper import \
     BaseWeightMapper
 
@@ -187,6 +188,8 @@ def __init__(self, model_config: ModelConfig[Qwen3MoeConfig],
                                    strategy=model_config.allreduce_strategy)
         self.next_layer_layernorm: RMSNorm = None
 
+        self.is_p2p_supported = can_access_peer(model_config.mapping)
+
         self.fusion_config = EagerFusionConfig()
         self.enable_fusion = os.environ.get(
             "TRTLLM_QWEN3_EAGER_FUSION_DISABLED", "0") == "0"
@@ -242,11 +245,11 @@ def forward(
                 hidden_states, residual)
 
         # Note: this fusion pattern is only supported for TRTLLM-nvfp4 backend now
-        do_finalize = not (hidden_states.shape[0]
-                           <= self.moe_allreduce.max_token
-                           and self.fusion_config.POST_MOE_FUSION
-                           and self.model_config.moe_backend == 'TRTLLM'
-                           and self.mlp.experts.has_nvfp4)
+        do_finalize = not (
+            hidden_states.shape[0] <= self.moe_allreduce.max_token
+            and self.fusion_config.POST_MOE_FUSION
+            and self.model_config.moe_backend == 'TRTLLM'
+            and self.mlp.experts.has_nvfp4 and self.is_p2p_supported)
 
         hidden_states = self.mlp(
             hidden_states,
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index d8d77b7d37e..ef02fcd9c66 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -2876,13 +2876,17 @@ def test_fp8(self, tp_size, pp_size, ep_size, attention_dp, cuda_graph,
         "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler,moe_backend,eagle3",
         [
             (8, 1, 8, True, True, True, "CUTLASS", False),
+            (8, 1, 8, False, True, True, "TRTLLM", False),
             (8, 1, 8, True, True, True, "TRTLLM", False),
+            (8, 1, 8, False, True, True, "TRTLLM", True),
             (8, 1, 8, True, True, True, "TRTLLM", True),
         ],
         ids=[
             "latency_moe_cutlass",
             "latency_moe_trtllm",
+            "latency_moe_trtllm_attention_dp",
             "latency_moe_trtllm_eagle3",
+            "latency_moe_trtllm_eagle3_attention_dp",
         ],
     )
     def test_nvfp4(self, tp_size, pp_size, ep_size, attention_dp, cuda_graph,
diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt
index c1ab5b3a1ce..e445478bbf4 100644
--- a/tests/integration/test_lists/qa/llm_function_core.txt
+++ b/tests/integration/test_lists/qa/llm_function_core.txt
@@ -582,6 +582,7 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_fp8[throughput_laten
 accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_fp8[latency]
 accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass]
 accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm]
+accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm_attention_dp]
 accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4_4gpus[latency_moe_trtllm_eagle3]
 accuracy/test_llm_api_pytorch.py::TestKanana_Instruct::test_auto_dtype
 accuracy/test_llm_api_pytorch.py::TestBielik11BInstruct::test_auto_dtype
diff --git a/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml b/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
index 2c1d315b99e..cae2fc365d2 100644
--- a/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
+++ b/tests/integration/test_lists/test-db/l0_gb200_multi_nodes.yml
@@ -35,4 +35,5 @@ l0_gb200_multi_nodes:
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency_trtllmgen] TIMEOUT (180)
   - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] TIMEOUT (90)
   - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] TIMEOUT (90)
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm_attention_dp] TIMEOUT (90)
   - accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_bf16[multi_gpus_no_cache] TIMEOUT (180)
diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index c9693c512e5..27903f1c0ae 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -274,6 +274,7 @@ examples/test_phi.py::test_phi_fp8_with_bf16_lora[Phi-3-small-128k-instruct] SKI
 examples/test_phi.py::test_phi_fp8_with_bf16_lora[Phi-3.5-mini-instruct] SKIP (https://nvbugs/5465143)
 examples/test_phi.py::test_phi_fp8_with_bf16_lora[Phi-4-mini-instruct] SKIP (https://nvbugs/5465143)
 examples/test_llama.py::test_llm_llama_v1_2gpu_summary[llama-7b-nb:4-enable_auto_parallel] SKIP (https://nvbugs/5465173)
+test_e2e.py::test_ptp_quickstart_multimodal[llava-v1.6-mistral-7b-llava-v1.6-mistral-7b-hf-image-False] SKIP (https://nvbugs/5444095)
 full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen1.5_7b_chat-enable_fmha_fp32_acc-enable_plugin-tp2pp2-nb:4] SKIP (https://nvbugs/5247837)
 full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen2_7b_instruct-enable_fmha_fp32_acc-enable_plugin-tp2pp2-nb:4] SKIP (https://nvbugs/5247837)
 full:GB200/examples/test_qwen.py::test_llm_qwen_7b_multi_gpus_summary[qwen2_vl_7b_instruct-enable_fmha_fp32_acc-enable_plugin-tp2pp2-nb:4] SKIP (https://nvbugs/5359696)

From e8a3e21b87fdf3cd417c545bb4da974ae873fef2 Mon Sep 17 00:00:00 2001
From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Date: Tue, 16 Sep 2025 16:27:04 +0800
Subject: [PATCH 68/76] [https://nvbugs/5519525][fix] fix doc invalid link for
 bug 5519525 (#7753)

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/developer-guide/perf-benchmarking.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/developer-guide/perf-benchmarking.md b/docs/source/developer-guide/perf-benchmarking.md
index 5c25d145c64..6c7dbc97c34 100644
--- a/docs/source/developer-guide/perf-benchmarking.md
+++ b/docs/source/developer-guide/perf-benchmarking.md
@@ -423,7 +423,7 @@ checkpoint. For the Llama-3.1 models, TensorRT LLM provides the following checkp
 - [`nvidia/Llama-3.1-70B-Instruct-FP8`](https://huggingface.co/nvidia/Llama-3.1-70B-Instruct-FP8)
 - [`nvidia/Llama-3.1-405B-Instruct-FP8`](https://huggingface.co/nvidia/Llama-3.1-405B-Instruct-FP8)
 
-To understand more about how to quantize your own checkpoints, refer to ModelOpt [documentation](https://nvidia.github.io/TensorRT-Model-Optimizer/getting_started/3_quantization.html).
+To understand more about how to quantize your own checkpoints, refer to ModelOpt [documentation](https://nvidia.github.io/TensorRT-Model-Optimizer/deployment/1_tensorrt_llm.html).
 
 `trtllm-bench` utilizes the `hf_quant_config.json` file present in the pre-quantized checkpoints above. The configuration
 file is present in checkpoints quantized with [TensorRT Model Optimizer](https://github.com/NVIDIA/TensorRT-Model-Optimizer)

From f5bfd68a500ca90664bd0ca8fbc10d627717ee2b Mon Sep 17 00:00:00 2001
From: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Date: Tue, 16 Sep 2025 17:44:54 +0800
Subject: [PATCH 69/76] [https://nvbugs/5509024][fix] Print full parsed outputs
 and update keywords for multimodal model (#7670)

Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tests/integration/defs/test_e2e.py | 35 ++++++++++++++++++------------
 1 file changed, 21 insertions(+), 14 deletions(-)

diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py
index b46608166c4..b53d61c72f8 100644
--- a/tests/integration/defs/test_e2e.py
+++ b/tests/integration/defs/test_e2e.py
@@ -2510,7 +2510,7 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
             ],
             "mixture_text_image":
             [["invention", "person", "scientists", "Lick", "engineers"],
-             ["landscape", "trees", "road", "natural", "rock"]]
+             ["landscape", "trees", "road", "depicts", "scenic"]]
         },
         "gemma-3-27b-it": {
             "image": [
@@ -2563,13 +2563,14 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
     if model_name == "qwen2-vl-7b-instruct" and modality == "image":
         match_ratio = 4.0 / 6
 
+    parsed_outputs = parse_output(output)
     for prompt_output, prompt_keywords in zip(
-            parse_output(output), expected_keywords[model_name][modality]):
+            parsed_outputs, expected_keywords[model_name][modality]):
         matches = [
             keyword in prompt_output.lower() for keyword in prompt_keywords
         ]
         obs_match_ratio = 1. * sum(matches) / len(matches)
-        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}"
+        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}\n\nParsed output for all prompts: {parsed_outputs}"
 
     print("All answers are correct!")
 
@@ -2970,13 +2971,14 @@ def test_ptp_quickstart_multimodal_phi4mm(llm_root, llm_venv, modality):
     output = llm_venv.run_cmd(cmd, caller=check_output)
 
     match_ratio = 0.6
-    for prompt_output, prompt_keywords in zip(parse_output(output),
+    parsed_outputs = parse_output(output)
+    for prompt_output, prompt_keywords in zip(parsed_outputs,
                                               expected_keywords[modality]):
         matches = [
             keyword in prompt_output.lower() for keyword in prompt_keywords
         ]
         obs_match_ratio = 1. * sum(matches) / len(matches)
-        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}"
+        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}\n\nParsed output for all prompts: {parsed_outputs}"
 
     print("All answers are correct!")
 
@@ -3081,13 +3083,14 @@ def test_ptp_quickstart_multimodal_2gpu(llm_root, llm_venv, model_name,
         match_ratio = 0.6
 
     # Check output accuracy
+    parsed_outputs = parse_output(output)
     for prompt_output, prompt_keywords in zip(
-            parse_output(output), expected_keywords[model_name]["image"]):
+            parsed_outputs, expected_keywords[model_name]["image"]):
         matches = [
             keyword in prompt_output.lower() for keyword in prompt_keywords
         ]
         obs_match_ratio = 1. * sum(matches) / len(matches)
-        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}"
+        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}\n\nParsed output for all prompts: {parsed_outputs}"
 
     print("All answers are correct!")
 
@@ -3124,20 +3127,23 @@ def test_ptp_quickstart_multimodal_multiturn(llm_root, llm_venv, model_name,
     expected_keywords = {
         "gemma-3-27b-it": {
             "image": [
-                ["half", "dome", "yosemite", "landmark", "rounded"],
-                ["atmosphere", "peaceful", "majestic", "calm", "quiet"],
+                ["description", "image", "half", "dome", "park"],
+                ["atmosphere", "peaceful", "majestic", "scene", "sky"],
             ],
         },
         "mistral-small-3.1-24b-instruct": {
             "image": [
-                ["depicts", "landscape", "rock", "sky", "high", "altitude"],
-                ["atmosphere", "serene", "majestic", "sense", "tranquility"],
+                [
+                    "depicts", "scenic", "landscape", "rock", "formation",
+                    "background"
+                ],
+                ["atmosphere", "serene", "majestic", "clear", "sky", "trees"],
             ],
         },
         "Phi-4-multimodal-instruct": {
             "image": [
                 ["depicts", "landscape", "mountain", "half", "dome"],
-                ["atmosphere", "serene", "sense", "tranquility", "peace."],
+                ["atmosphere", "serene", "sense", "scene", "majestic"],
             ],
         },
     }
@@ -3187,8 +3193,9 @@ def test_ptp_quickstart_multimodal_multiturn(llm_root, llm_venv, model_name,
         match_ratio = 0.6
 
     # Check output accuracy
+    parsed_outputs = parse_output(output)
     for prompt_output, prompt_keywords in zip(
-            parse_output(output), expected_keywords[model_name]["image"]):
+            parsed_outputs, expected_keywords[model_name]["image"]):
         matches = [
             keyword in prompt_output.lower() for keyword in prompt_keywords
         ]
@@ -3197,7 +3204,7 @@ def test_ptp_quickstart_multimodal_multiturn(llm_root, llm_venv, model_name,
         print("prompt_keywords:", prompt_keywords)
         print("matches:", matches)
         print("obs_match_ratio:", obs_match_ratio)
-        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}"
+        assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}\n\nParsed output for all prompts: {parsed_outputs}"
 
     print("All answers are correct!")
 

From ba2864a2c6f129d18699f59c7624ba1d29453418 Mon Sep 17 00:00:00 2001
From: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Date: Wed, 17 Sep 2025 10:20:26 +0800
Subject: [PATCH 70/76] [None][doc] Enhance api reference doc by labeling
 stable APIs (#7751)

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/_static/custom.css | 12 +++++++++---
 docs/source/helper.py          |  8 ++++----
 tensorrt_llm/llmapi/utils.py   |  7 +++++++
 3 files changed, 20 insertions(+), 7 deletions(-)

diff --git a/docs/source/_static/custom.css b/docs/source/_static/custom.css
index 2868a198c9b..db51ab001f4 100644
--- a/docs/source/_static/custom.css
+++ b/docs/source/_static/custom.css
@@ -1,6 +1,6 @@
 .tag {
-  padding: 2px 5px;
-  border-radius: 4px;
+  padding: 2px 3px;
+  border-radius: 3px;
   font-size: 0.8em;
   margin-right: 5px;
   color: #000;
@@ -9,7 +9,7 @@
 code.beta {
   display: inline-block;
   background-color: #6c757d;
-  color: #999;
+  color: #fff;
 }
 
 code.prototype {
@@ -23,3 +23,9 @@ code.deprecated {
   background-color: red;
   color: #fff;
 }
+
+code.stable {
+  display: inline-block;
+  background-color: #28a745;
+  color: #fff;
+}
diff --git a/docs/source/helper.py b/docs/source/helper.py
index 0835c8c7c28..3caf85083f0 100644
--- a/docs/source/helper.py
+++ b/docs/source/helper.py
@@ -312,10 +312,10 @@ def generate_llmapi():
     content = underline("API Reference", "-") + "\n\n"
     content += ".. note::\n"
     content += "    Since version 1.0, we have attached a status label to `LLM`, `LlmArgs` and `TorchLlmArgs` Classes.\n\n"
-    content += '    1. :tag:`prototype` - The item is a prototype and is subject to change.\n'
-    content += '    2. :tag:`beta` - The item is in beta and approaching stability.\n'
-    content += '    3. :tag:`deprecated` - The item is deprecated and will be removed in a future release.\n'
-    content += "    4. For the remaining items without a status label, they are considered **stable**.\n"
+    content += "    1. :tag:`stable` - The item is stable and will keep consistent.\n"
+    content += '    2. :tag:`prototype` - The item is a prototype and is subject to change.\n'
+    content += '    3. :tag:`beta` - The item is in beta and approaching stability.\n'
+    content += '    4. :tag:`deprecated` - The item is deprecated and will be removed in a future release.\n'
     content += "\n"
 
     for cls_name in public_classes_names:
diff --git a/tensorrt_llm/llmapi/utils.py b/tensorrt_llm/llmapi/utils.py
index d08e5397504..6fa862b3991 100644
--- a/tensorrt_llm/llmapi/utils.py
+++ b/tensorrt_llm/llmapi/utils.py
@@ -520,6 +520,9 @@ def generate_api_docs_as_docstring(model: Type[BaseModel],
         arg_line = f"{indent}    {field_name} ({type_str}): "
         if status := field_info.get("status", None):
             arg_line += f":tag:`{status}` "
+        elif LABEL_STABLE_APIS:
+            arg_line += f":tag:`stable` "
+
         if field_description:
             arg_line += field_description.split('\n')[0]  # First line with type
 
@@ -553,6 +556,10 @@ def get_type_repr(cls):
     return f"{module_name}.{cls.__qualname__}"
 
 
+LABEL_STABLE_APIS: bool = True
+""" Whether to label the stable APIs with `stable` tags. """
+
+
 class ApiParamTagger:
     ''' A helper to tag the api doc according to the status of the fields.
     The status is set in the json_schema_extra of the field.

From edbe270198d753ab0744cf3a15038eafb58015a3 Mon Sep 17 00:00:00 2001
From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Date: Wed, 17 Sep 2025 14:38:18 +0800
Subject: [PATCH 71/76] [TRTLLM-7958][doc] add 1.0 release notes (#7605)

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: pcastonguay <55748270+pcastonguay@users.noreply.github.com>
Signed-off-by: Sharan Chetlur <116769508+schetlur-nv@users.noreply.github.com>
Co-authored-by: pcastonguay <55748270+pcastonguay@users.noreply.github.com>
Co-authored-by: Sharan Chetlur <116769508+schetlur-nv@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 docs/source/release-notes.md | 175 +++++++++++++++++++++++++++++++++++
 1 file changed, 175 insertions(+)

diff --git a/docs/source/release-notes.md b/docs/source/release-notes.md
index 5ce3e71325f..703d7932239 100644
--- a/docs/source/release-notes.md
+++ b/docs/source/release-notes.md
@@ -4,6 +4,181 @@
 
 All published functionality in the Release Notes has been fully tested and verified with known limitations documented. To share feedback about this release, access our [NVIDIA Developer Forum](https://forums.developer.nvidia.com/).
 
+## TensorRT-LLM Release 1.0
+
+TensorRT LLM 1.0 brings 2 major changes: the PyTorch-based architecture is now stable and the default experience, and the LLM API is now stable. For more details on new developments in 1.0, please see below.
+
+### Key Features and Enhancements
+- **Model Support**
+  - Add Mistral3.1 VLM model support
+  - Add TensorRT-Engine Qwen3 (dense) model support
+  - Add phi-4-multimodal model support
+  - Add EXAONE 4.0 model support
+  - Add Qwen3 MoE support to TensorRT backend
+
+- **Features**
+  - Add support for sm121
+  - Add LoRA support for Gemma3
+  - Support PyTorch LoRA adapter eviction
+  - Add LoRA support for PyTorch backend in trtllm-serve 
+  - Add support of scheduling attention dp request
+  - Remove padding of FusedMoE in attention DP
+  - Support torch compile for attention dp
+  - Add KV events support for sliding window attention
+  - Add TRTLLM MoE nvfp4 cubins for mid-high concurrency; attention_dp for TRTLLM MoE
+  - Add Piecewise CUDA Graph support for MLA
+  - Support mutliCtasKvMode for high-throughput MLA kernels
+  - Enable kvcache to be reused during request generation
+  - Add ADP schedule balance optimization
+  - Add chunked prefill support for MLA (Blackwell)
+  - Enable Multi-block mode for Hopper spec dec XQA kernel
+  - Add vLLM KV Pool support for XQA kernel
+  - Allow sending more than 2GiB through MPI by using mpi4py.util.pkl5
+  - Add support for fused gate_up_proj scales for FP8 blockwise
+  - Support FP8 row-wise dense GEMM in torch flow
+  - Enable fp8 SwiGLU to minimize host overhead
+  - Add Deepseek R1 FP8 Support on Blackwell
+  - Add support for MXFP8xMXFP4 in pytorch
+  - Support nvfp4 model and fp8 kv cache for MLA chunked prefill (Blackwell)
+  - Opensource MOE MXFP8-MXFP4 implementation
+  - Add support for Modelopt fp8_pb_wo quantization scheme
+  - Support deepEP fp4 post quant all2all dispatch
+  - Fuse w4a8 moe pre-quant scale on Hopper
+  - Support Weight-Only-Quantization in PyTorch Workflow
+  - Add support for per expert activation scaling factors
+  - Add ReDrafter support for Qwen
+  - Enable CUDA Graph for Nemotron-H
+  - Add support for YARN in NemotronNAS models
+  - Switch to internal version of MMProjector in Gemma3
+  - Disable add special tokens for Llama3.3 70B
+  - Auto-enable ngram with concurrency <= 32
+  - Support turning on/off spec decoding dynamically
+  - Support structural tag in C++ runtime and upgrade xgrammar to 0.1.21
+  - Add support for external multimodal embeddings
+  - Add support for disaggregation with pp with pytorch backend
+  - Add status tags to LLM API reference
+  - Support JSON Schema in OpenAI-Compatible API
+  - Support chunked prefill on spec decode 2 model
+  - Add KV cache reuse support for multimodal models 
+  - Support nanobind bindings
+  - Add support for two-model engine KV cache reuse
+  - Add Eagle-3 support for qwen3 dense model
+  - Migrate Eagle-3 and draft/target speculation to Drafter
+  - Enable guided decoding with overlap scheduler
+  - Support n-gram speculative decoding with disagg
+  - Add beam search support to the PyTorch Workflow
+  - Add LLGuidance Support for PyTorch Backend
+  - Add NGrams V2 support
+  - Add MTP support for Online EPLB
+  - Support disaggregated serving in TRTLLM Sampler
+  - Add core infrastructure to enable loading of custom checkpoint formats
+  - Support TRTLLM_DEEP_EP_TOKEN_LIMIT to allow run deep-ep on memory-constrained GPUs
+  - Use huge page mapping for host accessible memory on GB200
+  - Add user-provided speculative decoding support
+  - Add streaming scaffolding_llm.generate_async support
+  - Detokenize option in /v1/completions request
+  - Integrate TRT-LLM Gen FP4 block scale MoE with Pytorch workflow kernel autotuner
+  - Remove support for llmapi + TRT backend in Triton
+  - Add request_perf_metrics to triton LLMAPI backend 
+  - Add support for Triton request cancellation
+
+- Benchmark:
+  - Add support for benchmarking individual gemms in MOE benchmark (#6080)
+  - Add speculative metrics for trtllm-bench
+  - Add the ability to write a request timeline for trtllm-bench
+  - Add no_kv_cache_reuse option and streaming support for trtllm-serve bench
+  - Add latency support for trtllm-bench
+  - Add Acceptance Rate calculation to benchmark_serving 
+  - Add wide-ep benchmarking scripts
+  - Update trtllm-bench to support new Pytorch default
+  - Add support for TRTLLM CustomDataset
+  - Make benchmark_serving part of the library
+
+- Documentation:
+  - Refactored the doc structure to focus on the PyTorch workflow.
+  - Improved the LLMAPI and API reference documentation. Stable APIs are now protected and will remain consistent in subsequent versions following v1.0.
+  - Removed legacy documentation related to the TensorRT workflow.
+
+### Infrastructure Changes
+- The base Docker image for TensorRT-LLM is updated to `nvcr.io/nvidia/pytorch:25.06-py3`.
+- The base Docker image for TensorRT-LLM Backend is updated to `nvcr.io/nvidia/tritonserver:25.06-py3`.
+- The dependent NVIDIA ModelOpt version is updated to 0.33.
+- The dependent xgrammar version is updated to 0.1.21.
+- The dependent transformers version is updated to 4.53.1.
+
+### API Changes
+- **BREAKING CHANGE** Promote PyTorch to be the default LLM backend
+- **BREAKING CHANGE** Change default backend to PyTorch in trtllm-serve
+- **BREAKING CHANGE** Unify KvCacheConfig in LLM class for pytorch backend
+- **BREAKING CHANGE** Rename cuda_graph_config padding_enabled field
+- **BREAKING CHANGE** Rename mixed_sampler to enable_mixed_sampler
+- **BREAKING CHANGE** Rename LLM.autotuner_enabled to enable_autotuner
+- Add back allreduce_strategy parameter into TorchLlmArgs
+- Add LLmArgs option to force using dynamic quantization
+- Change default LoRA cache sizes and change peft_cache_config cache size fields to take effect when not explicitly set in lora_config
+- Remove deprecated LoRA LLM args, that are already specified in lora_config
+- Add request_perf_metrics to LLMAPI
+- Remove batch_manager::KvCacheConfig and use executor::KvCacheConfig instead 
+- Remove TrtGptModelOptionalParams 
+- Remove ptuning knobs from TorchLlmArgs
+
+
+### Fixed Issues
+- Fix illegal memory access in MLA (#6437)
+- Fix nemotronNAS loading for TP>1 (#6447)
+- Fix wide EP when using DeepEP with online EPLB (#6429)
+- Fix bugs caused by None attention_bias during Qwen3 model convert engine (#6344)
+- Fix PD + MTP + overlap scheduler accuracy issue (#6136)
+- Fix bug of Qwen3 when using fp4 on sm120 (#6065)
+- Fix TMA error with GEMM+AR on TP=2 (#6075)
+- Fix scaffolding aime test in test_e2e (#6140)
+- Fix KV Cache overrides in trtllm-bench (#6103)
+- Fix MOE benchmark to rotate buffers to prevent L2 cache reuse (#4135)
+- Fix eagle3 two model disaggregated serving test (#6014)
+- Fix chunked prefill + overlap scheduling (#5761)
+- Fix mgmn postprocess error (#5835)
+- Fallback to cubins for fp8 fmha kernels on Ada (#5779)
+- Fix disagg + speculative decoding (#5558)
+- Fix test_generate_with_seed CI failure. (#5772)
+- Fix prompt adapter TP2 case (#5782)
+- Fix disaggregate serving with attention DP (#4993)
+- Fix a quote error introduced in #5534 (#5816)
+- Fix the accuracy issue when reduce_fusion is enabled for GEMMA model. (#5801)
+- Fix lost requests for disaggregated serving (#5815)
+- Update unit tests: skip all_close assert for dropout in attention, increase tolerance for rope op test (#5855)
+- Fix GEMM+AR fusion on blackwell (#5563)
+- Fix llama4 multimodal support (#5809)
+- Fix Llama4 Scout FP4 crash issue (#5925)
+- Fix max batch size and max tokens in kv cache estimations for Nemotron-H (#5371)
+- Fix moe regression for sm120 (#5823)
+- Fix Qwen2.5VL FP8 support (#5029)
+- Fix the illegal memory access issue in moe gemm on SM120 (#5636)
+- Fix tileN cannot % 16==0 & support sm89 deepgemm bmm (#5531)
+- Fix incremental detokenization (#5825)
+- Fix MoE workspace info by storing Torch tensor itself instead of data_ptr (#5900)
+- Fix mistral unit tests due to transformers upgrade (#5904)
+- Fix the Llama3.1 405B hanging issue. (#5698) (#5925)
+- Fix Gemma3 unit tests due to transformers upgrade (#5921)
+- Fix alltoall for llama4 (apply_router_weight_on_input=True) (#5902)
+- Remove SpecConfig and fix thread leak issues (#5931)
+- Fast redux detection in trtllm gen routing kernel (#5941)
+- Fix cancel request logic (#5800)
+- Fix errors in wide-ep scripts (#5992)
+- Fix error in post-merge-tests (#5949)
+- Fix missing arg to alltoall_prepare_maybe_dispatch (#5669)
+- Fix attention DP doesn't work with embedding TP (#5642)
+- Fix broken cyclic reference detect (#5417) 
+- Fix permission for local user issues in NGC docker container. (#5373)
+- Fix mtp vanilla draft inputs (#5568) 
+- Fix mPtrExpertCounts allocation in MoE TRT-LLM backend (nvfp4) (#5519) 
+- Fix block scale fp8 support for deepseek v3 on Blackwell. (#5514)
+- Fix the issue MoE autotune fallback failed to query default heuristic (#5520) 
+- Fix the unexpected keyword argument 'streaming' (#5436)
+
+### Known Issues
+- When using disaggregated serving with pipeline parallelism and KV cache reuse, a hang can occur. This will be fixed in a future release. In the meantime, disabling KV cache reuse will fix this issue.
+- Running multi-node cases where each node has just a single GPU is known to fail. This will be addressed in a future release. 
+
 ## TensorRT-LLM Release 0.21.0
 
 ### Key Features and Enhancements

From ab26d21620372847c46137da3328d4a1620fdfef Mon Sep 17 00:00:00 2001
From: Yukun He <23156053+hyukn@users.noreply.github.com>
Date: Wed, 17 Sep 2025 13:28:43 +0800
Subject: [PATCH 72/76] [https://nvbugs/5517023][fix] Pass allreduce strategy
 and force NCCL on pre-Blackwell arch (#7768)

Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
---
 tensorrt_llm/_torch/models/modeling_llama.py | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/tensorrt_llm/_torch/models/modeling_llama.py b/tensorrt_llm/_torch/models/modeling_llama.py
index 5353c4db201..c0aa397d67f 100644
--- a/tensorrt_llm/_torch/models/modeling_llama.py
+++ b/tensorrt_llm/_torch/models/modeling_llama.py
@@ -11,7 +11,8 @@
 from transformers.models.llama4.modeling_llama4 import Llama4MultiModalProjector
 
 from tensorrt_llm._torch.distributed import (AllReduce, AllReduceFusionOp,
-                                             AllReduceParams, MoEAllReduce)
+                                             AllReduceParams, AllReduceStrategy,
+                                             MoEAllReduce)
 from tensorrt_llm._torch.models.checkpoints.base_weight_mapper import \
     BaseWeightMapper
 from tensorrt_llm._utils import get_sm_version
@@ -652,7 +653,12 @@ def __init__(
                                                 eps=config.rms_norm_eps,
                                                 dtype=config.torch_dtype)
 
-        self.all_reduce = AllReduce(mapping=model_config.mapping)
+        # TODO: This is a temporary fix to disable oneshot kernel for pre-Blackwell arch to avoid perf regressions
+        self.all_reduce = AllReduce(
+            strategy=model_config.allreduce_strategy
+            if get_sm_version() >= 100 else AllReduceStrategy.NCCL,
+            mapping=model_config.mapping,
+        )
 
         self.next_layer_layernorm: RMSNorm = None
         self.next_attn: LlamaAttention = None

From 9c1b75e978e5b603208f447973ef2563a9f66961 Mon Sep 17 00:00:00 2001
From: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Date: Mon, 22 Sep 2025 15:12:43 +0800
Subject: [PATCH 73/76] [TRTLLM-7070][feat] add gpt-oss chunked prefill tests
 (#7779)

Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
---
 .../defs/accuracy/test_llm_api_pytorch.py     | 36 +++++++++++++++++++
 .../test_lists/qa/llm_function_core.txt       |  4 +++
 .../qa/llm_function_core_sanity.txt           |  4 +++
 .../test_lists/qa/llm_function_nim.txt        |  4 +++
 .../apps/_test_trtllm_serve_benchmark.py      | 16 +++++++--
 5 files changed, 62 insertions(+), 2 deletions(-)

diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index ef02fcd9c66..2e295473bf9 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -3261,6 +3261,42 @@ def test_w4_2gpus(self, kv_cache_dtype, moe_backend, tp_size, pp_size,
             task.evaluate(llm,
                           extra_evaluator_kwargs=self.extra_evaluator_kwargs)
 
+    @pytest.mark.skip_less_device(4)
+    @pytest.mark.parametrize("kv_cache_dtype", ["auto", "fp8"])
+    @pytest.mark.parametrize(
+        "moe_backend",
+        ["CUTLASS",
+         pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"],
+        ids=["cutlass", "trtllm", "triton"])
+    def test_w4_chunked_prefill(self, kv_cache_dtype, moe_backend, mocker):
+        if moe_backend == "TRITON":
+            if not IS_TRITON_KERNELS_AVAILABLE:
+                pytest.skip("Triton kernels are not available")
+
+        pytorch_config = dict(disable_overlap_scheduler=True,
+                              cuda_graph_config=CudaGraphConfig())
+        kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.6,
+                                        dtype=kv_cache_dtype)
+
+        model_name = "GPT-OSS/MXFP4"
+        with LLM(self.MODEL_PATH,
+                 tensor_parallel_size=4,
+                 pipeline_parallel_size=1,
+                 moe_expert_parallel_size=1,
+                 kv_cache_config=kv_cache_config,
+                 max_seq_len=8192,
+                 max_num_tokens=512,
+                 enable_chunked_prefill=True,
+                 enable_attention_dp=False,
+                 moe_config=MoeConfig(backend=moe_backend),
+                 **pytorch_config) as llm:
+            mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN", 8192)
+            mocker.patch.dict(GSM8K.EVALUATE_KWARGS,
+                              {"scores_filter": "exact_match,flexible-extract"})
+            task = GSM8K(model_name)
+            task.evaluate(llm,
+                          extra_evaluator_kwargs=self.extra_evaluator_kwargs)
+
 
 class TestEXAONE4(LlmapiAccuracyTestHarness):
     MODEL_NAME = "LGAI-EXAONE/EXAONE-4.0-32B"
diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt
index e445478bbf4..6c3f9200cdc 100644
--- a/tests/integration/test_lists/qa/llm_function_core.txt
+++ b/tests/integration/test_lists/qa/llm_function_core.txt
@@ -547,6 +547,10 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-fp8]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4a16[dp4-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4a16[dp4-fp8]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[trtllm-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[triton-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[trtllm-fp8]
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_auto_dtype[False]
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_auto_dtype[True]
 accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ngram
diff --git a/tests/integration/test_lists/qa/llm_function_core_sanity.txt b/tests/integration/test_lists/qa/llm_function_core_sanity.txt
index c398961276b..b04dc167f0a 100644
--- a/tests/integration/test_lists/qa/llm_function_core_sanity.txt
+++ b/tests/integration/test_lists/qa/llm_function_core_sanity.txt
@@ -83,6 +83,10 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-fp8]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4a16[dp4-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4a16[dp4-fp8]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[trtllm-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[triton-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[trtllm-fp8]
 accuracy/test_llm_api_pytorch.py::TestMistralSmall24B::test_auto_dtype
 accuracy/test_llm_api_pytorch.py::TestKanana_Instruct::test_auto_dtype
 accuracy/test_llm_api_pytorch.py::TestKimiK2::test_fp8_blockscale[latency]
diff --git a/tests/integration/test_lists/qa/llm_function_nim.txt b/tests/integration/test_lists/qa/llm_function_nim.txt
index a969bd3c083..db14f531f16 100644
--- a/tests/integration/test_lists/qa/llm_function_nim.txt
+++ b/tests/integration/test_lists/qa/llm_function_nim.txt
@@ -153,6 +153,10 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[tp4-trtllm-fp8]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4a16[dp4-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4a16[dp4-fp8]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[trtllm-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[triton-auto]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[trtllm-fp8]
 accuracy/test_llm_api_pytorch.py::TestLlama3_3NemotronSuper49Bv1::test_fp8_prequantized_tp2
 accuracy/test_llm_api_pytorch.py::TestLlama3_1NemotronNano8Bv1::test_auto_dtype
 accuracy/test_llm_api_pytorch.py::TestLlama3_1NemotronNano8Bv1::test_fp8_prequantized
diff --git a/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py b/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py
index 908757b7c90..db7c6dfc4f4 100644
--- a/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py
+++ b/tests/unittest/llmapi/apps/_test_trtllm_serve_benchmark.py
@@ -56,8 +56,20 @@ def test_trtllm_serve_benchmark(server: RemoteOpenAIServer, benchmark_root: str,
     client_script = os.path.join(benchmark_root, "benchmark_serving.py")
     dataset = dataset_path("sharegpt")
     benchmark_cmd = [
-        "python3", client_script, "--dataset-name", "sharegpt", "--model",
-        model_name, "--dataset-path", dataset, "--tokenizer", model_path
+        "python3",
+        client_script,
+        "--dataset-name",
+        "sharegpt",
+        "--model",
+        model_name,
+        "--dataset-path",
+        dataset,
+        "--tokenizer",
+        model_path,
+        "--temperature",
+        "1.0",
+        "--top-p",
+        "1.0",
     ]
 
     # CalledProcessError will be raised if any errors occur

From d330d0005cf87d2c1f17533171c91ec275f29276 Mon Sep 17 00:00:00 2001
From: Emma Qiao <qqiao@nvidia.com>
Date: Mon, 22 Sep 2025 15:37:01 +0800
Subject: [PATCH 74/76] [None][infra] Waive a failed case on main (#7901)

Signed-off-by: qqiao <qqiao@nvidia.com>
---
 tests/integration/test_lists/waives.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt
index 27903f1c0ae..d2ecb27d2cf 100644
--- a/tests/integration/test_lists/waives.txt
+++ b/tests/integration/test_lists/waives.txt
@@ -344,3 +344,4 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput
 accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[latency] SKIP (https://nvbugs/5481198)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[throughput] SKIP (https://nvbugs/5481198)
 accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[latency_trtllmgen] SKIP (https://nvbugs/5516845)
+accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_mtp] SKIP (https://nvbugs/5532248)

From 8cf95681e65483887caf811ee3cb11c414b83cbb Mon Sep 17 00:00:00 2001
From: Bo Deng <deemod@nvidia.com>
Date: Mon, 22 Sep 2025 16:43:35 +0800
Subject: [PATCH 75/76] [TRTLLM-7989][infra] Bundle UCX and NIXL libs in the
 TRTLLM python package (#7766)

Signed-off-by: Bo Deng <deemod@nvidia.com>
---
 cpp/CMakeLists.txt                            |  1 +
 cpp/cmake/modules/FindNIXL.cmake              | 12 ++++++++-
 .../nixl_utils/CMakeLists.txt                 |  7 -----
 jenkins/Build.groovy                          |  4 +--
 jenkins/L0_Test.groovy                        |  8 +++---
 requirements.txt                              |  1 +
 scripts/build_wheel.py                        | 27 +++++++++++++++++++
 setup.py                                      |  6 ++---
 .../test_lists/test-db/l0_sanity_check.yml    |  2 ++
 .../others/test_kv_cache_transceiver.py       | 10 ++++---
 tests/unittest/test_pip_install.py            |  1 +
 11 files changed, 59 insertions(+), 20 deletions(-)

diff --git a/cpp/CMakeLists.txt b/cpp/CMakeLists.txt
index 9828fe7ea74..75460ab83f0 100644
--- a/cpp/CMakeLists.txt
+++ b/cpp/CMakeLists.txt
@@ -558,6 +558,7 @@ if(ENABLE_UCX)
     find_package(ucxx REQUIRED PATHS ${CMAKE_BINARY_DIR}/ucxx/build
                  NO_DEFAULT_PATH)
   endif()
+  find_package(NIXL)
 endif()
 if(ENABLE_UCX)
   set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DENABLE_UCX=1")
diff --git a/cpp/cmake/modules/FindNIXL.cmake b/cpp/cmake/modules/FindNIXL.cmake
index 288add626aa..868043c0d2b 100644
--- a/cpp/cmake/modules/FindNIXL.cmake
+++ b/cpp/cmake/modules/FindNIXL.cmake
@@ -23,6 +23,16 @@ endif()
 
 find_package(ucx REQUIRED)
 
+# Set default NIXL_ROOT if not provided
+if(NOT NIXL_ROOT)
+  set(NIXL_ROOT
+      "/opt/nvidia/nvda_nixl"
+      CACHE PATH "NIXL installation directory" FORCE)
+  message(STATUS "NIXL_ROOT not set, using default: ${NIXL_ROOT}")
+else()
+  message(STATUS "Using provided NIXL_ROOT: ${NIXL_ROOT}")
+endif()
+
 find_path(NIXL_INCLUDE_DIR nixl.h HINTS ${NIXL_ROOT}/include)
 
 if(CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64")
@@ -69,5 +79,5 @@ else()
   message(STATUS "NIXL_LIBRARY: ${NIXL_LIBRARY}")
   message(STATUS "NIXL_BUILD_LIBRARY: ${NIXL_BUILD_LIBRARY}")
   message(STATUS "SERDES_LIBRARY: ${SERDES_LIBRARY}")
-  message(FATAL_ERROR "NIXL not found after installation attempt.")
+  unset(NIXL_ROOT CACHE)
 endif()
diff --git a/cpp/tensorrt_llm/executor/cache_transmission/nixl_utils/CMakeLists.txt b/cpp/tensorrt_llm/executor/cache_transmission/nixl_utils/CMakeLists.txt
index 78d95eac17a..74785dabea6 100644
--- a/cpp/tensorrt_llm/executor/cache_transmission/nixl_utils/CMakeLists.txt
+++ b/cpp/tensorrt_llm/executor/cache_transmission/nixl_utils/CMakeLists.txt
@@ -9,13 +9,6 @@
 # license agreement from NVIDIA CORPORATION or its affiliates is strictly
 # prohibited.
 
-if(NOT CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64")
-  message(
-    STATUS
-      "The NIXL backend is temporarily unavailable on the aarch64 platform.")
-  unset(NIXL_ROOT)
-endif()
-
 if(NIXL_ROOT)
   find_package(NIXL REQUIRED)
   # Check if all required packages were found
diff --git a/jenkins/Build.groovy b/jenkins/Build.groovy
index 870792504b9..afbd55cb3d8 100644
--- a/jenkins/Build.groovy
+++ b/jenkins/Build.groovy
@@ -16,8 +16,8 @@ AARCH64_TRIPLE = "aarch64-linux-gnu"
 
 LLM_DOCKER_IMAGE = env.dockerImage
 
-LLM_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-x86_64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202508051130-6090"
-LLM_SBSA_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-aarch64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202508051130-6090"
+LLM_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-x86_64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202509091430-7383"
+LLM_SBSA_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-aarch64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202509091430-7383"
 
 // Always use x86_64 image for agent
 AGENT_IMAGE = env.dockerImage.replace("aarch64", "x86_64")
diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy
index 7b21ad2c0b2..6c9b3b3a8b6 100644
--- a/jenkins/L0_Test.groovy
+++ b/jenkins/L0_Test.groovy
@@ -37,11 +37,11 @@ LLM_DOCKER_IMAGE = env.dockerImage
 LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE = env.wheelDockerImagePy310
 LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE = env.wheelDockerImagePy312
 
-LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE_12_9="urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-12.9.1-devel-rocky8-x86_64-rocky8-py310-trt10.11.0.33-skip-tritondevel-202508051130-6090"
-LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE_12_9="urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-12.9.1-devel-rocky8-x86_64-rocky8-py312-trt10.11.0.33-skip-tritondevel-202508051130-6090"
+LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE_12_9="urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-12.9.1-devel-rocky8-x86_64-rocky8-py310-trt10.11.0.33-skip-tritondevel-202509091430-7383"
+LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE_12_9="urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-12.9.1-devel-rocky8-x86_64-rocky8-py312-trt10.11.0.33-skip-tritondevel-202509091430-7383"
 
-LLM_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-x86_64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202508051130-6090"
-LLM_SBSA_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-aarch64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202508051130-6090"
+LLM_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-x86_64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202509091430-7383"
+LLM_SBSA_DOCKER_IMAGE_12_9 = "urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.06-py3-aarch64-ubuntu24.04-trt10.11.0.33-skip-tritondevel-202509091430-7383"
 
 DLFW_IMAGE_12_9 = "urm.nvidia.com/docker/nvidia/pytorch:25.06-py3"
 
diff --git a/requirements.txt b/requirements.txt
index 641d57fea23..481b14a1015 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -56,6 +56,7 @@ uvicorn
 setuptools<80
 ordered-set
 peft
+patchelf==0.18.0
 einops
 flashinfer-python>=0.3.0
 opencv-python-headless
diff --git a/scripts/build_wheel.py b/scripts/build_wheel.py
index f84e38795b9..c994dc3f9c3 100755
--- a/scripts/build_wheel.py
+++ b/scripts/build_wheel.py
@@ -749,6 +749,17 @@ def symlink_remove_dst_tree(src, dst, dirs_exist_ok=True):
                 build_dir /
                 "tensorrt_llm/executor/cache_transmission/ucx_utils/libtensorrt_llm_ucx_wrapper.so",
                 lib_dir / "libtensorrt_llm_ucx_wrapper.so")
+            build_run(
+                f'patchelf --set-rpath \'$ORIGIN/ucx/\' {lib_dir / "libtensorrt_llm_ucx_wrapper.so"}'
+            )
+            if os.path.exists("/usr/local/ucx"):
+                ucx_dir = lib_dir / "ucx"
+                if ucx_dir.exists():
+                    clear_folder(ucx_dir)
+                install_tree("/usr/local/ucx/lib", ucx_dir, dirs_exist_ok=True)
+                build_run(
+                    f"find {ucx_dir} -type f -name '*.so*' -exec patchelf --set-rpath \'$ORIGIN:$ORIGIN/ucx:$ORIGIN/../\' {{}} \\;"
+                )
         if os.path.exists(
                 build_dir /
                 "tensorrt_llm/executor/cache_transmission/nixl_utils/libtensorrt_llm_nixl_wrapper.so"
@@ -757,6 +768,22 @@ def symlink_remove_dst_tree(src, dst, dirs_exist_ok=True):
                 build_dir /
                 "tensorrt_llm/executor/cache_transmission/nixl_utils/libtensorrt_llm_nixl_wrapper.so",
                 lib_dir / "libtensorrt_llm_nixl_wrapper.so")
+            build_run(
+                f'patchelf --set-rpath \'$ORIGIN/nixl/\' {lib_dir / "libtensorrt_llm_nixl_wrapper.so"}'
+            )
+            if os.path.exists("/opt/nvidia/nvda_nixl"):
+                nixl_dir = lib_dir / "nixl"
+                if nixl_dir.exists():
+                    clear_folder(nixl_dir)
+                nixl_lib_path = "/opt/nvidia/nvda_nixl/lib/x86_64-linux-gnu"
+                if not os.path.exists(nixl_lib_path):
+                    nixl_lib_path = "/opt/nvidia/nvda_nixl/lib/aarch64-linux-gnu"
+                if not os.path.exists(nixl_lib_path):
+                    nixl_lib_path = "/opt/nvidia/nvda_nixl/lib64"
+                install_tree(nixl_lib_path, nixl_dir, dirs_exist_ok=True)
+                build_run(
+                    f"find {nixl_dir} -type f -name '*.so*' -exec patchelf --set-rpath \'$ORIGIN:$ORIGIN/plugins:$ORIGIN/../:$ORIGIN/../ucx/:$ORIGIN/../../ucx/\' {{}} \\;"
+                )
         install_file(
             build_dir /
             "tensorrt_llm/kernels/decoderMaskedMultiheadAttention/libdecoder_attention_0.so",
diff --git a/setup.py b/setup.py
index 215845387b1..5f72c709d6b 100644
--- a/setup.py
+++ b/setup.py
@@ -103,9 +103,9 @@ def has_ext_modules(self):
         'bin/executorWorker', 'libs/libtensorrt_llm.so', 'libs/libth_common.so',
         'libs/libnvinfer_plugin_tensorrt_llm.so',
         'libs/libtensorrt_llm_ucx_wrapper.so', 'libs/libdecoder_attention_0.so',
-        'libs/libtensorrt_llm_nixl_wrapper.so',
-        'libs/libdecoder_attention_1.so', 'libs/nvshmem/License.txt',
-        'libs/nvshmem/nvshmem_bootstrap_uid.so.3',
+        'libs/libtensorrt_llm_nixl_wrapper.so', 'libs/nixl/**/*',
+        'libs/ucx/**/*', 'libs/libdecoder_attention_1.so',
+        'libs/nvshmem/License.txt', 'libs/nvshmem/nvshmem_bootstrap_uid.so.3',
         'libs/nvshmem/nvshmem_transport_ibgda.so.103', 'bindings.*.so',
         'deep_ep/LICENSE', 'deep_ep_cpp_tllm.*.so', "include/**/*",
         'deep_gemm/LICENSE', 'deep_gemm/include/**/*', 'deep_gemm_cpp_tllm.*.so'
diff --git a/tests/integration/test_lists/test-db/l0_sanity_check.yml b/tests/integration/test_lists/test-db/l0_sanity_check.yml
index cbf68424178..a5d6ee88d8e 100644
--- a/tests/integration/test_lists/test-db/l0_sanity_check.yml
+++ b/tests/integration/test_lists/test-db/l0_sanity_check.yml
@@ -32,3 +32,5 @@ l0_sanity_check:
       - llmapi/test_llm_examples.py::test_llmapi_runtime
       - llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine
       - examples/test_llm_api_with_mpi.py::test_llm_api_single_gpu_with_mpirun[TinyLlama-1.1B-Chat-v1.0]
+      - unittest/others/test_kv_cache_transceiver.py::test_kv_cache_transceiver_single_process[NIXL-mha-ctx_fp16_gen_fp16]
+      - unittest/others/test_kv_cache_transceiver.py::test_kv_cache_transceiver_single_process[UCX-mha-ctx_fp16_gen_fp16]
diff --git a/tests/unittest/others/test_kv_cache_transceiver.py b/tests/unittest/others/test_kv_cache_transceiver.py
index f5a1c27c77e..4bebfe1ab26 100644
--- a/tests/unittest/others/test_kv_cache_transceiver.py
+++ b/tests/unittest/others/test_kv_cache_transceiver.py
@@ -64,8 +64,13 @@ def ctx_gen_kv_cache_dtype(request):
 @pytest.mark.parametrize("attention_type",
                          [AttentionTypeCpp.DEFAULT, AttentionTypeCpp.MLA],
                          ids=["mha", "mla"])
+@pytest.mark.parametrize("backend", [
+    trtllm.CacheTransceiverBackendType.NIXL,
+    trtllm.CacheTransceiverBackendType.UCX
+],
+                         ids=["NIXL", "UCX"])
 def test_kv_cache_transceiver_single_process(ctx_gen_kv_cache_dtype,
-                                             attention_type):
+                                             attention_type, backend):
     # Init kv_cache manager and cache transceiver
     mapping = Mapping(world_size=1, rank=0)
     ctx_kv_cache_dtype, gen_kv_cache_dtype = ctx_gen_kv_cache_dtype
@@ -73,8 +78,7 @@ def test_kv_cache_transceiver_single_process(ctx_gen_kv_cache_dtype,
     kv_cache_manager_gen = create_kv_cache_manager(mapping, gen_kv_cache_dtype)
 
     cache_transceiver_config = trtllm.CacheTransceiverConfig(
-        backend=trtllm.CacheTransceiverBackendType.DEFAULT,
-        max_tokens_in_buffer=512)
+        backend=backend, max_tokens_in_buffer=512)
     dist = MPIDist(mapping=mapping)
     kv_cache_transceiver_ctx = create_kv_cache_transceiver(
         mapping, dist, kv_cache_manager_ctx, attention_type,
diff --git a/tests/unittest/test_pip_install.py b/tests/unittest/test_pip_install.py
index 11288e09cec..87c21d4f634 100644
--- a/tests/unittest/test_pip_install.py
+++ b/tests/unittest/test_pip_install.py
@@ -55,6 +55,7 @@ def test_pip_install():
     if not os.path.exists("/usr/local/mpi/bin/mpicc"):
         subprocess.check_call("apt-get -y install libopenmpi-dev", shell=True)
 
+    subprocess.check_call("apt-get -y install libzmq3-dev", shell=True)
     subprocess.check_call("apt-get -y install python3-pip", shell=True)
     subprocess.check_call("pip3 install --upgrade pip || true", shell=True)
     subprocess.check_call("pip3 install --upgrade setuptools || true",

From b0981e25404196978d831784237c41ecf532034a Mon Sep 17 00:00:00 2001
From: ixlmar <206748156+ixlmar@users.noreply.github.com>
Date: Thu, 18 Sep 2025 08:21:09 +0200
Subject: [PATCH 76/76] feat: batched sampling by strategy (supersedes
 enable_mixed_sampler)

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
---
 setup.py                                      |    2 +-
 tensorrt_llm/_torch/auto_deploy/llm_args.py   |    6 -
 .../_torch/auto_deploy/shim/ad_executor.py    |    5 -
 tensorrt_llm/_torch/modules/rms_norm.py       |   37 +-
 tensorrt_llm/_torch/pyexecutor/_util.py       |    4 +-
 tensorrt_llm/_torch/pyexecutor/config.py      |    5 -
 tensorrt_llm/_torch/pyexecutor/llm_request.py |    2 +-
 .../_torch/pyexecutor/py_executor_creator.py  |    2 +-
 tensorrt_llm/_torch/pyexecutor/sampler.py     | 1112 ++++++++++++++---
 tensorrt_llm/_torch/speculative/eagle3.py     |    5 +-
 .../_torch/speculative/model_drafter.py       |   73 +-
 tensorrt_llm/evaluate/json_mode_eval.py       |    3 +-
 tensorrt_llm/evaluate/mmlu.py                 |    2 +-
 tensorrt_llm/llmapi/llm_args.py               |   11 +-
 tensorrt_llm/scaffolding/worker.py            |    1 -
 .../api_stability/references/llm.yaml         |    4 -
 .../unittest/llmapi/apps/_test_openai_misc.py |    3 +
 tests/unittest/llmapi/test_llm_pytorch.py     |   29 +-
 18 files changed, 1009 insertions(+), 297 deletions(-)

diff --git a/setup.py b/setup.py
index 5f72c709d6b..82eae4883e8 100644
--- a/setup.py
+++ b/setup.py
@@ -260,4 +260,4 @@ def extract_from_precompiled(precompiled_location: str, package_data: List[str],
     install_requires=required_deps,
     dependency_links=
     extra_URLs,  # Warning: Dependency links support has been dropped by pip 19.0
-    python_requires=">=3.7, <4")
+    python_requires=">=3.10, <4")
diff --git a/tensorrt_llm/_torch/auto_deploy/llm_args.py b/tensorrt_llm/_torch/auto_deploy/llm_args.py
index 2ff564b17e3..6a02aa65ad5 100644
--- a/tensorrt_llm/_torch/auto_deploy/llm_args.py
+++ b/tensorrt_llm/_torch/auto_deploy/llm_args.py
@@ -105,12 +105,6 @@ class AutoDeployConfig(DynamicYamlMixInForSettings, BaseSettings):
         description="Disable the overlap scheduler in trtllm runtime",
     )
 
-    enable_mixed_sampler: bool = Field(
-        default=False,
-        description="If true, will iterate over sampling_params of each request and use the corresponding "
-        "sampling strategy, e.g. top-k, top-p, etc.",
-    )
-
     world_size: int = Field(
         default=1,
         ge=0,
diff --git a/tensorrt_llm/_torch/auto_deploy/shim/ad_executor.py b/tensorrt_llm/_torch/auto_deploy/shim/ad_executor.py
index 998c8a178f2..ca067235324 100644
--- a/tensorrt_llm/_torch/auto_deploy/shim/ad_executor.py
+++ b/tensorrt_llm/_torch/auto_deploy/shim/ad_executor.py
@@ -337,16 +337,11 @@ def create_autodeploy_executor(ad_config: LlmArgs):
     scheduler = SimpleScheduler(capacitor_scheduler, mb_scheduler)
 
     # search sampler with speculative decoding
-    # TODO (lucaslie, fridah-nv): some models require enable_mixed_sampler=True to have good outputs, see
-    # https://github.com/NVIDIA/TensorRT-LLM/issues/5254
-    # We should expose mixed_sample to our build_and_run_ad script so we can configure this
-    # correctly for models as needed.
     sampler_args = TorchSampler.Args(
         max_seq_len=ad_config.max_seq_len,
         max_draft_len=max_draft_len,
         max_num_sequences=max_num_sequences,
         max_beam_width=ad_config.max_beam_width,
-        enable_mixed_sampler=ad_config.enable_mixed_sampler,
     )
     sampler = TorchSampler(sampler_args)
 
diff --git a/tensorrt_llm/_torch/modules/rms_norm.py b/tensorrt_llm/_torch/modules/rms_norm.py
index 2a22d858250..4b7a388983b 100644
--- a/tensorrt_llm/_torch/modules/rms_norm.py
+++ b/tensorrt_llm/_torch/modules/rms_norm.py
@@ -14,7 +14,8 @@
 # limitations under the License.
 
 import enum
-from typing import Optional, Tuple, Union
+from types import EllipsisType  # https://stackoverflow.com/a/66636313
+from typing import Optional, Tuple, TypeAlias, Union, cast
 
 import torch
 from torch import nn
@@ -24,6 +25,9 @@
 
 class RMSNorm(nn.Module):
 
+    _ARGUMENT_NOT_SPECIFIED_SENTINEL = ...
+    _ArgumentNotSpecifiedSentinelType: TypeAlias = EllipsisType
+
     def __init__(
         self,
         *,
@@ -48,12 +52,19 @@ def __init__(
     def forward(
         self,
         hidden_states: torch.Tensor,
-        residual: Optional[torch.Tensor] = ...,
-    ) -> Union[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]:
+        residual: Union[
+            Optional[torch.Tensor],
+            _ArgumentNotSpecifiedSentinelType] = _ARGUMENT_NOT_SPECIFIED_SENTINEL,
+    ) -> Union[torch.Tensor, Tuple[torch.Tensor, Optional[torch.Tensor]]]:
+        return_residual = True
+        if residual is self._ARGUMENT_NOT_SPECIFIED_SENTINEL:
+            return_residual = False
+            residual = None
+
         if IS_FLASHINFER_AVAILABLE:
             from ..custom_ops import (flashinfer_fused_add_rmsnorm,
                                       flashinfer_rmsnorm)
-            if isinstance(residual, torch.Tensor):
+            if residual is not None:
                 flashinfer_fused_add_rmsnorm(hidden_states, residual,
                                              self.weight, self.variance_epsilon)
             else:
@@ -62,7 +73,7 @@ def forward(
         else:
             input_dtype = hidden_states.dtype
             hidden_states = hidden_states.to(torch.float32)
-            if isinstance(residual, torch.Tensor):
+            if residual is not None:
                 hidden_states = hidden_states + residual.to(torch.float32)
                 residual = hidden_states.to(input_dtype)
 
@@ -71,20 +82,22 @@ def forward(
                                                         self.variance_epsilon)
             hidden_states = self.weight * hidden_states.to(input_dtype)
 
-        if residual is ...:
-            return hidden_states
+        if return_residual:
+            return hidden_states, cast(Optional[torch.Tensor], residual)
         else:
-            return hidden_states, residual
+            return hidden_states
 
     def skip_forward(
         self,
         hidden_states: torch.Tensor,
-        residual: Optional[torch.Tensor] = ...,
-    ) -> Union[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]:
-        if residual is ...:
+        residual: Union[
+            Optional[torch.Tensor],
+            _ArgumentNotSpecifiedSentinelType] = _ARGUMENT_NOT_SPECIFIED_SENTINEL,
+    ) -> Union[torch.Tensor, Tuple[torch.Tensor, Optional[torch.Tensor]]]:
+        if residual is self._ARGUMENT_NOT_SPECIFIED_SENTINEL:
             return hidden_states
         else:
-            return hidden_states, residual
+            return hidden_states, cast(Optional[torch.Tensor], residual)
 
 
 class GroupRMSNormKernelSelection(enum.Enum):
diff --git a/tensorrt_llm/_torch/pyexecutor/_util.py b/tensorrt_llm/_torch/pyexecutor/_util.py
index e8d68a59381..47bf53e48fb 100644
--- a/tensorrt_llm/_torch/pyexecutor/_util.py
+++ b/tensorrt_llm/_torch/pyexecutor/_util.py
@@ -697,7 +697,7 @@ def create_py_executor_instance(
 
 
 def create_torch_sampler_args(mapping: Mapping, *, max_seq_len: int,
-                              enable_mixed_sampler: bool, max_batch_size: int,
+                              max_batch_size: int,
                               speculative_config: SpeculativeConfig,
                               max_beam_width: int):
     max_num_sequences = max_batch_size * mapping.pp_size
@@ -708,7 +708,6 @@ def create_torch_sampler_args(mapping: Mapping, *, max_seq_len: int,
         max_draft_len=max_draft_len,
         max_num_sequences=max_num_sequences,
         max_beam_width=max_beam_width,
-        enable_mixed_sampler=enable_mixed_sampler,
     )
 
 
@@ -722,7 +721,6 @@ def instantiate_sampler(engine: PyTorchModelEngine,
     sampler_args = create_torch_sampler_args(
         mapping,
         max_seq_len=engine.max_seq_len,
-        enable_mixed_sampler=pytorch_backend_config.enable_mixed_sampler,
         max_batch_size=max_batch_size,
         speculative_config=speculative_config,
         max_beam_width=max_beam_width)
diff --git a/tensorrt_llm/_torch/pyexecutor/config.py b/tensorrt_llm/_torch/pyexecutor/config.py
index 7f46c521b6f..407d3fa1ec2 100644
--- a/tensorrt_llm/_torch/pyexecutor/config.py
+++ b/tensorrt_llm/_torch/pyexecutor/config.py
@@ -56,11 +56,6 @@ class PyTorchConfig:
 
     moe_disable_finalize_fusion: bool = False
 
-    enable_mixed_sampler: bool = False
-    """
-    If true, will iterate over sampling_params of each request and use the
-    corresponding sampling strategy, e.g. top-k, top-p, etc.
-    """
     sampler_type: SamplerType = SamplerType.auto
     """
     The type of sampler to use. Options are TRTLLMSampler, TorchSampler or auto.
diff --git a/tensorrt_llm/_torch/pyexecutor/llm_request.py b/tensorrt_llm/_torch/pyexecutor/llm_request.py
index b20382006ec..068ffce4704 100644
--- a/tensorrt_llm/_torch/pyexecutor/llm_request.py
+++ b/tensorrt_llm/_torch/pyexecutor/llm_request.py
@@ -366,7 +366,7 @@ def __init__(
                                   exclude_last_generation_logits)
         self.child_requests = []
 
-        self._py_embedding_bias_1d = None
+        self._py_embedding_bias_1d: Optional[torch.Tensor] = None
         if hasattr(self, 'embedding_bias') and self.embedding_bias is not None:
             # Pre-squeeze to 1D if needed (remove batch dimension)
             if self.embedding_bias.dim() > 1:
diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
index 5f97e2e37af..d2187138e2f 100644
--- a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
+++ b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
@@ -349,7 +349,7 @@ def create_py_executor(
             if _get_allow_chain_drafter():
                 use_chain_drafter = (
                     guided_decoding_config is None
-                    and not pytorch_backend_config.enable_mixed_sampler
+                    and draft_spec_config._allow_greedy_draft_tokens
                     and pytorch_backend_config.attn_backend == "TRTLLM")
             else:
                 use_chain_drafter = False
diff --git a/tensorrt_llm/_torch/pyexecutor/sampler.py b/tensorrt_llm/_torch/pyexecutor/sampler.py
index 6e6f57bc214..9a800628620 100644
--- a/tensorrt_llm/_torch/pyexecutor/sampler.py
+++ b/tensorrt_llm/_torch/pyexecutor/sampler.py
@@ -1,7 +1,12 @@
+import dataclasses
+import enum
+import sys
 from abc import ABC, abstractmethod
+from collections import defaultdict
 from collections.abc import Iterable
 from dataclasses import dataclass
-from typing import List, Literal, Optional
+from itertools import repeat
+from typing import Any, List, Literal, Optional, cast
 
 import torch
 
@@ -25,6 +30,11 @@
 from .llm_request import LlmRequest, LlmRequestState, get_draft_token_length
 from .scheduler import ScheduledRequests
 
+if sys.version_info[:2] >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
 
 @dataclass(kw_only=True)
 class SampleStateTensors:
@@ -74,6 +84,10 @@ def beam_width(scheduled_requests: Iterable[LlmRequest]) -> int:
     def is_generation_model(self) -> bool:
         raise NotImplementedError
 
+    def should_provide_draft_probs(self, request: LlmRequest) -> bool:
+        """Check if sampler wants to receive draft token probabilities."""
+        return True  # conservative default
+
 
 class EarlyStopSampler(Sampler):
     """
@@ -81,11 +95,13 @@ class EarlyStopSampler(Sampler):
     such as encoder-only model (e.g., BERT) or reward models that only need context phase.
     """
 
+    @override
     def sample_async(self, scheduled_requests: ScheduledRequests, model_outputs,
                      num_context_logits_prefix_sum: list[int]) -> SampleState:
         host = SampleStateTensors(new_tokens=torch.empty(0))
         return SampleState(scheduled_requests=scheduled_requests, host=host)
 
+    @override
     def update_requests(self, state: SampleState) -> None:
         assert isinstance(state, SampleState)
         scheduled_requests = state.scheduled_requests
@@ -95,6 +111,7 @@ def update_requests(self, state: SampleState) -> None:
             # NOTE: This is a hack: set finish reason manually and set the beam 0
             request.set_finished_reason(FinishReason.LENGTH, 0)
 
+    @override
     def is_generation_model(self) -> bool:
         return False
 
@@ -119,6 +136,7 @@ class EarlyStopWithMMResult(Sampler):
     Use for skipping decoding step for non generation model, and return the batch_output (such as mm_embeddings)
     """
 
+    @override
     def sample_async(
             self, scheduled_requests: ScheduledRequests, model_outputs,
             num_context_logits_prefix_sum: list[int]
@@ -128,6 +146,7 @@ def sample_async(
         return SampleStateWithMMResult(scheduled_requests=scheduled_requests,
                                        data=data)
 
+    @override
     def update_requests(self, state: SampleStateWithMMResult) -> None:
         assert isinstance(state, SampleStateWithMMResult)
         scheduled_requests = state.scheduled_requests
@@ -145,13 +164,16 @@ def update_requests(self, state: SampleStateWithMMResult) -> None:
 
             request.py_result.append_mm_embeddings(mm_embedding)
 
+    @override
     def is_generation_model(self) -> bool:
         return False
 
 
-def top_k_sampling_batch(logits,
-                         top_k=50,
-                         generator: Optional[torch.Generator] = None):
+def top_k_sampling_batch(
+    logits,
+    top_k=50,
+    generator: Optional[torch.Generator] = None
+) -> tuple[torch.Tensor, torch.Tensor]:
     logits_dim = logits.dim()
     if logits_dim == 1:
         logits = logits.unsqueeze(0)
@@ -176,13 +198,14 @@ def top_k_sampling_batch(logits,
     return next_tokens, softmax
 
 
-def top_p_sampling_batch(logits: torch.Tensor,
-                         top_p: float = 0.9,
-                         temperature: float = 1.0,
-                         generator: Optional[torch.Generator] = None):
+def top_p_sampling_batch(
+    logits: torch.Tensor,
+    *,
+    top_p: float = 0.9,
+    temperature: float = 1.0,
+    generator: Optional[torch.Generator] = None
+) -> tuple[torch.Tensor, torch.Tensor]:
     logits_dim = logits.dim()
-    if logits_dim == 1:
-        logits = logits.unsqueeze(0)
     assert logits_dim == 2, "logits should be 2D: [batch_size, vocab_size]"
 
     if temperature != 0:
@@ -214,20 +237,19 @@ def top_p_sampling_batch(logits: torch.Tensor,
 
 
 def top_k_top_p_sampling_batch(logits: torch.Tensor,
+                               *,
                                top_k: int,
                                top_p: float,
                                temperature: float = 1.0,
                                generator: Optional[torch.Generator] = None):
     logits_dim = logits.dim()
-    if logits_dim == 1:
-        logits = logits.unsqueeze(0)
     assert logits_dim == 2, "logits should be 2D: [batch_size, vocab_size]"
     if temperature != 0:
         logits = logits / max(temperature, 1e-5)
     batch_size, vocab_size = logits.size()
     # get first top_k logits of each sample and their indices
     if top_k > 0:
-        values, indices = torch.topk(logits, top_k, dim=-1)
+        values, _ = torch.topk(logits, top_k, dim=-1)
         min_values = values[:, -1].unsqueeze(-1).expand(batch_size, vocab_size)
 
         # set the logits who is less than first top_k logits to -inf
@@ -259,19 +281,39 @@ def top_k_top_p_sampling_batch(logits: torch.Tensor,
     return next_tokens, softmax
 
 
-def greedy_search_sampling_batch(logits):
+def greedy_search_sampling_batch(
+    logits,
+    *,
+    softmax_indices: Optional[torch.IntTensor] = None
+) -> tuple[torch.Tensor, torch.Tensor]:
     next_tokens = torch.argmax(logits, dim=-1)
+    if softmax_indices is not None:
+        logits = logits[softmax_indices.to(logits.device, non_blocking=True)]
     softmax = torch.softmax(logits, dim=-1)
     return next_tokens, softmax
 
 
 def get_rejected_indices(draft_probs: torch.Tensor, target_probs: torch.Tensor,
-                         generator: torch.Generator, draft_tokens: list[int]):
-
-    p = draft_probs[torch.arange(len(draft_tokens)), draft_tokens]
-    q = target_probs[:-1]
-    q = q[torch.arange(len(draft_tokens)), draft_tokens]
-    accept_probs = torch.minimum(torch.ones(()), q / p)
+                         generator: torch.Generator,
+                         draft_tokens: list[int]) -> torch.Tensor:
+    # NB: ModelDrafter._pad_to_max_draft_tokens pads draft_tokens, but
+    #     not draft_probs. Relying on shape of draft_probs here.
+    num_draft_tokens = draft_probs.size(0)
+    draft_tokens = draft_tokens[:num_draft_tokens]
+    # NB: torch.arange is needed to enable "advanced indexing",
+    #   cf. https://numpy.org/devdocs/user/basics.indexing.html#integer-array-indexing
+    token_idx = torch.arange(num_draft_tokens,
+                             dtype=torch.int32,
+                             device=generator.device)
+    draft_tokens_cuda = torch.tensor(draft_tokens,
+                                     dtype=torch.int32,
+                                     pin_memory=True).to(
+                                         device=generator.device,
+                                         non_blocking=True)
+    p = draft_probs[token_idx, draft_tokens_cuda]
+    q = target_probs.squeeze(0)[token_idx, draft_tokens_cuda]
+    accept_probs = torch.minimum(
+        torch.ones((), device=generator.device, dtype=q.dtype), q / p)
     # Use deterministic random generation for multi-GPU consistency
     rejected_indices = (torch.rand(accept_probs.shape,
                                    generator=generator,
@@ -298,45 +340,83 @@ def sample_rejected(draft_probs: torch.Tensor, target_probs: torch.Tensor,
 TopKTopP = tuple[Literal["top_k_top_p"], int, float, float]
 Greedy = tuple[Literal["greedy"], None]
 GREEDY: Greedy = ("greedy", None)
-Strategy = TopK | TopP | Greedy
+Strategy = TopK | TopP | Greedy | TopKTopP
+
 
+def _request_strategy(request: LlmRequest) -> Strategy:
+    # top_p and top_K with temperature=0.0 reduces to greedy
+    # sampling
+    temperature = request.sampling_config.temperature
+    if temperature is not None:
+        temperature = temperature[0]
+        if temperature == 0.0:
+            return GREEDY
 
-def request_strategy(request: LlmRequest) -> Strategy:
     if request.sampling_config.top_k is not None and len(
             request.sampling_config.top_k
     ) > 0 and request.sampling_config.top_p is not None and len(
             request.sampling_config.top_p) > 0:
         return ("top_k_top_p", request.sampling_config.top_k[0],
-                request.sampling_config.top_p[0],
-                request.sampling_config.temperature[0])
-    if request.sampling_config.top_p is not None and len(
+                request.sampling_config.top_p[0], temperature)
+    elif request.sampling_config.top_p is not None and len(
             request.sampling_config.top_p) > 0:
-        return ("top_p", request.sampling_config.top_p[0],
-                request.sampling_config.temperature[0])
+        top_p = request.sampling_config.top_p[0]
+        return ("top_p", top_p, temperature)
     elif request.sampling_config.top_k is not None and len(
             request.sampling_config.top_k) > 0:
         return ("top_k", request.sampling_config.top_k[0])
     else:
-        return ("greedy", None)
-
-
-def sampling_strategies(requests: Iterable[LlmRequest]) -> list[Strategy]:
-    return [request_strategy(req) for req in requests]
-
-
-def sample(strategy: Strategy,
-           logits: torch.Tensor,
-           generator: Optional[torch.Generator] = None):
+        return GREEDY
+
+
+def _group_requests_by_sampling_strategy(
+        requests: Iterable[LlmRequest],
+        *,
+        pin_memory: bool = False) -> dict[Strategy, torch.Tensor]:
+    strategy_dict: dict[Strategy, list[int]] = defaultdict(list)
+    for req_index, req in enumerate(requests):
+        strategy_dict[_request_strategy(req)].append(req_index)
+    return {
+        strategy: torch.tensor(indices,
+                               pin_memory=pin_memory,
+                               dtype=torch.int32)
+        for strategy, indices in strategy_dict.items()
+    }
+
+
+def sample(
+    strategy: Strategy,
+    logits: torch.Tensor,
+    generator: Optional[torch.Generator] = None,
+    *,
+    softmax_indices: Optional[torch.IntTensor] = None
+) -> tuple[torch.Tensor, torch.Tensor]:
+    filter_softmax = True
     match strategy:
         case ("top_k", top_k):
-            return top_k_sampling_batch(logits, top_k, generator)
+            tokens, softmax = top_k_sampling_batch(logits, top_k, generator)
         case ("top_p", top_p, temperature):
-            return top_p_sampling_batch(logits, top_p, temperature, generator)
+            tokens, softmax = top_p_sampling_batch(
+                logits,
+                top_p=top_p,
+                generator=generator,
+                **(dict(temperature=temperature)
+                   if temperature is not None else dict()))
         case ("top_k_top_p", top_k, top_p, temperature):
-            return top_k_top_p_sampling_batch(logits, top_k, top_p, temperature,
-                                              generator)
+            tokens, softmax = top_k_top_p_sampling_batch(
+                logits,
+                top_k=top_k,
+                top_p=top_p,
+                generator=generator,
+                **(dict(temperature=temperature)
+                   if temperature is not None else dict()))
         case ("greedy", None):
-            return greedy_search_sampling_batch(logits)
+            tokens, softmax = greedy_search_sampling_batch(
+                logits, softmax_indices=softmax_indices)
+            filter_softmax = False
+    if filter_softmax and softmax_indices is not None:
+        softmax = softmax[softmax_indices.to(softmax.device, non_blocking=True)]
+    return tokens, softmax
 
 
 def add_token(request: LlmRequest,
@@ -355,10 +435,326 @@ def int_tensor(shape: tuple[int, ...], device: str = 'cuda') -> torch.Tensor:
     return torch.empty(shape, dtype=torch.int, device=device)
 
 
+@dataclass(kw_only=True, frozen=True)
+class _BatchedSamplingResult:
+    # Original request indices for all requests (permuted due to batching by strategy):
+    batch_req_indices: torch.Tensor
+    # Next tokens for all requests:
+    batch_next_tokens_cuda_int: torch.Tensor
+    # Probs for all requests which need them:
+    batch_softmax_cuda: torch.Tensor
+    # (request, batch_softmax indices), for requests having py_draft_logits / requesting py_target_probs:
+    py_draft_logits_indices: list[tuple[LlmRequest,
+                                        torch.Tensor]] = dataclasses.field(
+                                            default_factory=list)
+
+
+# Inspired by https://github.com/pytorch/pytorch/issues/80577; note also the
+# suggestion to consider torch.nested.
+def torch_multi_arange(ends: torch.Tensor,
+                       *,
+                       starts: Optional[torch.Tensor] = None,
+                       steps: Optional[torch.Tensor] = None) -> torch.Tensor:
+    """Efficiently compute torch.cat([torch.arange(b, e, d) for b, e, d in zip(starts, ends, steps)]).
+
+    Starts, ends, steps need to share dtype and shape. Invalid ranges like range(1, 2, -1) are
+    silently discarded. 'steps' defaults to 1 and 'starts' defaults to 0.
+    """
+    if steps is not None:
+        assert ends.dtype == steps.dtype
+        assert ends.shape == steps.shape
+    if starts is not None:
+        assert ends.dtype == starts.dtype
+        assert ends.shape == starts.shape
+
+    # This algorithm combines torch.repeat_interleaved() and torch.cumsum() to
+    # construct the result.
+    #
+    # 1. Given N ranges (characterized by starts, ends, steps), construct a sequence
+    #    of 2N numbers, in which the non-overlapping pairs of consecutive numbers
+    #    correspond to the ranges. For a given range, the pair (a, b) is chosen such
+    #    that upon torch.cumsum() application 'a' turns the last element of the
+    #    preceding range into the start element for the current range and 'b' is
+    #    simply the step size for the current range.
+    #
+    repeats = ends  # number of elements in each range
+    if starts is not None:
+        repeats = repeats.clone()
+        repeats -= starts
+    if steps is not None:
+        repeats = repeats.div(steps, rounding_mode="trunc")
+    repeats = repeats.clip(0)  # ignore invalid ranges
+    range_ends = repeats - 1  # last element in each range
+    if steps is not None:
+        range_ends *= steps
+    if starts is not None:
+        range_ends += starts
+    prev_range_ends = range_ends.roll(
+        1)  # last element in preceding range (or 0)
+    prev_range_ends[0] = 0
+    ones = torch.tensor(1, dtype=ends.dtype, pin_memory=True).to(
+        device=ends.device, non_blocking=True).broadcast_to(ends.shape)
+    if steps is None:
+        steps = ones
+    jumps = -prev_range_ends  # delta from one range to the next
+    if starts is not None:
+        jumps += starts
+    seq = torch.cat((jumps.unsqueeze(-1), steps.unsqueeze(-1)), dim=1).view(-1)
+    #
+    # 2. Construct output via torch.repeat_interleave() and torch.cumsum()
+    seq_repeats = torch.cat((ones.unsqueeze(-1), (repeats - 1).unsqueeze(-1)),
+                            dim=1).view(-1)
+    seq = seq.repeat_interleave(seq_repeats)
+    seq = seq.cumsum(0)
+    return seq
+
+
+# Helper class for _PackedStepIndexer and _UnpackedStepIndexer, facilitating the
+# selection of memory locations of tokens associated with given sets of requests.
+class _StepIndexTranslator(ABC):
+
+    def __init__(
+        self,
+        *,
+        num_steps: torch.Tensor,
+        req_offsets: Optional[torch.Tensor] = None,
+        max_steps: Optional[int] = None,
+        index_dtype: Optional[torch.dtype] = None,
+    ):
+        """Build the index.
+
+        Arguments:
+            index_dtype: torch.dtype to use for indices (defaults to torch.int32).
+            num_steps (index_dtype): Number of steps/tokens for each request
+            req_offsets (index_dtype): Index offset at which the data for each request starts.
+                                       If not provided, it is computed using calculate_request_offsets(),
+                                       which assumes dense packing.
+            max_steps (int): The largest value allowed to occur in num_steps.
+                             If not provided, it is computed from num_steps.
+        """
+        if req_offsets is None:
+            req_offsets, _ = self.calculate_request_offsets(num_steps)
+        if max_steps is None:
+            max_steps = cast(int, num_steps.max().item())
+        self._index_map, self._index_mask = self._build_index(
+            req_offsets=req_offsets,
+            num_steps=num_steps,
+            max_steps=max_steps,
+            index_dtype=(index_dtype or torch.int32),
+        )
+
+    @staticmethod
+    def calculate_request_offsets(
+            req_num_steps: torch.Tensor,
+            pin_memory: bool = False) -> tuple[torch.Tensor, int]:
+        if req_num_steps.numel():
+            req_offsets = torch.cumsum(req_num_steps, 0)
+            sum_steps = int(req_offsets[-1].item())
+            req_offsets_rolled = torch.empty_like(req_offsets,
+                                                  pin_memory=pin_memory)
+            req_offsets_rolled[1:] = req_offsets[:-1]
+            req_offsets_rolled[0] = 0
+            req_offsets = req_offsets_rolled
+        else:
+            req_offsets = torch.empty_like(req_num_steps, pin_memory=pin_memory)
+            sum_steps = 0
+        return req_offsets, sum_steps
+
+    def _build_index(
+            self, req_offsets: torch.Tensor, num_steps: torch.Tensor,
+            max_steps: int,
+            index_dtype: torch.dtype) -> tuple[torch.Tensor, torch.Tensor]:
+        steps_dim = torch.arange(max_steps,
+                                 device=num_steps.device,
+                                 dtype=index_dtype)
+        valid_mask = steps_dim.unsqueeze(0) < num_steps.unsqueeze(-1)
+        indices = self._compute_index_map(index_dtype=index_dtype,
+                                          steps_dim=steps_dim,
+                                          req_offsets=req_offsets)
+        # NB: steps_dim and req_offsets may have been overwritten by this point.
+        return indices, valid_mask
+
+    @abstractmethod
+    def _compute_index_map(self, index_dtype: torch.dtype,
+                           steps_dim: torch.Tensor,
+                           req_offsets: torch.Tensor) -> torch.Tensor:
+        """Compute full tensor index map.
+
+        Should return a tensor of shape (len(num_steps), max_steps) containing the linear
+        token index (index_dtype) corresponding to a given request and decoding step.
+        Each row corresponds to a request (same ordering as 'req_offsets' and 'num_steps'),
+        and the columns correspond to decoding steps 0, ..., num_steps[i]. Entries corresponding
+        to decoding steps which are invalid for the given request are masked elsewhere within
+        _StepIndexTranslator.
+
+        This method is allowed to repurpose/overwrite 'steps_dim' and 'req_offsets'.
+
+        Arguments:
+            num_steps (index_dtype): Number of steps/tokens for each request
+            req_offsets (index_dtype): Index offset at which the data for each request starts.
+            steps_dim (index_dtype): arange(max_steps)
+            index_dtype: torch.dtype to use for indices
+        """
+
+    def __getitem__(self, req_indices: Any) -> torch.Tensor:
+        """Gather indices for a given set of requests.
+
+        Arguments:
+            req_indices: Any 1d torch-compatible indexing expression to select requests, corresponds
+                         to the linear indices of the entries in 'num_steps' and 'req_offsets' (cf. __init__).
+        Returns:
+            Array of linear indices (index_dtype) selecting the tokens/steps associated
+            with the requests identified by req_indices, in the same order as
+            req_indices.
+        """
+        indices = self._index_map[req_indices].view(-1)
+        mask = self._index_mask[req_indices].view(-1)
+        # NB: Return value has dynamic shape (depends on mask nnz), which
+        #     implies stream sync if CUDA is used.
+        return indices[mask]
+
+
+# Helper class for _PackedStepIndexer and _UnpackedStepIndexer, facilitating the
+# selection of memory locations of tokens associated with given sets of requests,
+# for memory layouts that can be parametrized via request offsets and step stride.
+class _StridedStepIndexTranslator(_StepIndexTranslator):
+
+    def __init__(
+        self,
+        *,
+        num_steps: torch.Tensor,
+        req_offsets: Optional[torch.Tensor] = None,
+        max_steps: Optional[int] = None,
+        index_dtype: Optional[torch.dtype] = None,
+        step_stride: Optional[int] = None,
+    ):
+        """Build the index.
+
+        Allows to specify a custom stride for steps dimension.
+
+        Arguments:
+            index_dtype: torch.dtype to use for indices (defaults to torch.int32).
+            num_steps (index_dtype): Number of steps/tokens for each request
+            req_offsets (index_dtype): Index offset at which the data for each request starts.
+                                       If not provided, it is computed using calculate_request_offsets(),
+                                       assuming dense packing of tokens (grouped by request). Overriding
+                                       this also allows for "request major" indexing into rectangular
+                                       tensors.
+            max_steps (int): The largest value allowed to occur in num_steps.
+                             If not provided, it is computed from 'num_steps'.
+            step_stride: Additional stride to multiply 'steps_dim' with (defaults to 1). Allows,
+                         e.g., "step major" indexing into rectangular tensors.
+        """
+        self._step_stride = step_stride
+        super().__init__(num_steps=num_steps,
+                         req_offsets=req_offsets,
+                         max_steps=max_steps,
+                         index_dtype=index_dtype)
+
+    @override
+    def _compute_index_map(self, index_dtype: torch.dtype,
+                           steps_dim: torch.Tensor,
+                           req_offsets: torch.Tensor) -> torch.Tensor:
+        if self._step_stride is not None:
+            steps_dim *= self._step_stride  # in-place OK
+        return req_offsets.unsqueeze(-1) + steps_dim.unsqueeze(0)
+
+
+# In sample_async(), each request contains a different number of output positions
+# (a.k.a. 'steps') and 'logits_cuda' (and other tensors derived from it) packs those
+# tokens into a single contiguous array, with the 'step' axis being the rapidly
+# changing one.
+#
+# The class below builds an index to simplify selecting the linear indices of the
+# tokens associated with a given set of requests.
+#
+# NB: Consider switching to torch.nested (cf. https://github.com/pytorch/pytorch/issues/80577)
+class _PackedStepIndexer(_StridedStepIndexTranslator):
+
+    def __init__(
+        self,
+        *,
+        num_steps: torch.Tensor,
+        req_offsets: Optional[torch.Tensor] = None,
+        max_steps: Optional[int] = None,
+        index_dtype: Optional[torch.dtype] = None,
+    ):
+        """Build the index.
+
+        Arguments:
+            index_dtype: torch.dtype to use for indices (defaults to torch.int32).
+            num_steps (index_dtype): Number of steps/tokens for each request
+            req_offsets (index_dtype): Index offset at which the data for each request starts.
+                                       If not provided, it is computed using calculate_request_offsets().
+            max_steps (int): The largest value allowed to occur in num_steps.
+                             If not provided, it is computed from 'num_steps'.
+        """
+        super().__init__(num_steps=num_steps,
+                         req_offsets=req_offsets,
+                         max_steps=max_steps,
+                         index_dtype=index_dtype)
+
+
+# After gathering results with _PackedStepIndexer in TorchSampler._sample_batched_by_strategy,
+# they need to be scattered into result buffers in TorchSampler._unbatch_sampling_results.
+# This helper class provides the translation from linear packed request + step/token indices
+# to unpacked / rectangular-tensor (but still linearized) request + step/token indices.
+#
+# NB: Consider switching to torch.nested (cf. https://github.com/pytorch/pytorch/issues/80577)
+class _UnpackedStepIndexer(_StridedStepIndexTranslator):
+
+    class DimOrder(enum.Enum):
+        SLOT_MAJOR = enum.auto()
+        STEP_MAJOR = enum.auto()
+
+    def __init__(
+        self,
+        *,
+        seq_slots: torch.Tensor,
+        num_steps: torch.Tensor,
+        dim_order: DimOrder = DimOrder.SLOT_MAJOR,
+        steps_dim_size: int,
+        slots_dim_size: Optional[int] = None,
+        index_dtype: Optional[torch.dtype] = None,
+    ):
+        """Build the index.
+
+        Arguments:
+            index_dtype: torch.dtype to use for indices (defaults to torch.int32).
+            seq_slots (index_dtype): Request indices in unpacked tensor, enumerated in packed tensor
+                                     request order.
+            num_steps (index_dtype): Number of steps/tokens for each request
+            dim_order: Memory layout of indexed tensor.
+            steps_dim_size (int): The extent of the step dimension in the unpacked tensor.
+            slots_dim_size (int): The extent of the slot dimension in the unpacked tensor.
+                                  Required if dim_order is DimOrder.STEP_MAJOR.
+        """
+        if dim_order is self.DimOrder.SLOT_MAJOR:
+            super().__init__(
+                num_steps=num_steps,
+                req_offsets=(steps_dim_size * seq_slots),
+                max_steps=steps_dim_size,
+                index_dtype=index_dtype,
+            )
+        elif dim_order is self.DimOrder.STEP_MAJOR:
+            if slots_dim_size is None:
+                raise ValueError("slots_dim_size required for step-major order")
+            super().__init__(
+                num_steps=num_steps,
+                req_offsets=seq_slots,  # no need for stride here
+                max_steps=steps_dim_size,
+                index_dtype=index_dtype,
+                step_stride=slots_dim_size,
+            )
+        else:
+            raise ValueError(f"Invalid dim_order: {dim_order}")
+
+
 class TorchSampler(Sampler):
     BEAM = 0
     MAX_BEAM_WIDTH = BEAM + 1
 
+    @override
     def is_generation_model(self) -> bool:
         return True
 
@@ -376,11 +772,9 @@ class Args:
         max_draft_len: int
         max_num_sequences: int
         max_beam_width: int
-        enable_mixed_sampler: bool
 
     def __init__(self, args: Args):
         self.max_seq_len = args.max_seq_len
-        self.enable_mixed_sampler = args.enable_mixed_sampler
         self.max_tokens = args.max_draft_len + 1
         assert args.max_beam_width == self.MAX_BEAM_WIDTH, "TorchSampler only supports beam_width = 1"
         self.max_num_sequences = args.max_num_sequences
@@ -410,6 +804,7 @@ def get_generator(self, device: torch.device) -> torch.Generator:
             # Fallback to a default seed if not set
             self._generator = torch.Generator(device=device)
             self._generator.manual_seed(self._global_seed)
+        assert self._generator.device == device
         return self._generator
 
     def _meet_max_token_stop_criteria(self, request: LlmRequest):
@@ -493,11 +888,12 @@ def _process_draft_tokens_greedy(self, request: LlmRequest,
 
     def _process_draft_tokens_rejection_sampling(
             self, request: LlmRequest, new_tokens: torch.Tensor) -> int:
-        sampling_strategy = request_strategy(request)
+        sampling_strategy = _request_strategy(request)
         generator = self.get_generator(request.py_draft_logits.device)
         _, draft_probs = sample(sampling_strategy,
-                                request.py_draft_logits[0],
+                                request.py_draft_logits,
                                 generator=generator)
+        draft_probs = draft_probs.squeeze(0)
         target_probs = request.py_target_probs
         rejected_indices = get_rejected_indices(draft_probs, target_probs,
                                                 generator,
@@ -541,6 +937,8 @@ def process_draft_tokens(self, request: LlmRequest,
             return self._process_draft_tokens_rejection_sampling(
                 request, new_tokens)
 
+    @override
+    @torch.inference_mode()
     def update_requests(self, state: SampleState) -> None:
         assert isinstance(state, SampleState)
         if state.sampler_event:
@@ -570,7 +968,9 @@ def update_requests(self, state: SampleState) -> None:
             self.handle_logprobs(req, state, beam=self.BEAM, count=processed)
             req.py_decoding_iter += 1
 
-    def log_probs_host(self, scheduled_requests: ScheduledRequests):
+    def log_probs_host(
+            self,
+            scheduled_requests: ScheduledRequests) -> Optional[torch.Tensor]:
         """Shape: In lockstep with TRTLLMSampler: https://github.com/NVIDIA/TensorRT-LLM/blob/cea5dd1e3883b18bf50901a7f196f50a9544c28c/cpp/include/tensorrt_llm/runtime/decoderState.h#L103"""
         if any(req.py_return_log_probs
                for req in scheduled_requests.all_requests()):
@@ -580,17 +980,25 @@ def log_probs_host(self, scheduled_requests: ScheduledRequests):
                 pin_memory=True)
         return None
 
+    @override
+    @torch.inference_mode()
     def sample_async(self, scheduled_requests: ScheduledRequests,
                      model_outputs: dict[str, torch.Tensor],
                      num_context_logits_prefix_sum: list[int]) -> SampleState:
+        requests = scheduled_requests.all_requests()
         new_tokens = self.store.new_tokens
         log_probs_host = self.log_probs_host(scheduled_requests)
-        self._process_requests(scheduled_requests,
-                               model_outputs,
-                               new_tokens,
-                               num_context_logits_prefix_sum,
-                               log_probs_host=log_probs_host)
-        new_tokens_host = new_tokens.to(device="cpu", non_blocking=True)
+        seq_slots_host = torch.tensor(
+            [r.py_seq_slot for r in requests],
+            dtype=torch.int64,  # for index_fill_
+            pin_memory=True)
+        new_tokens_host = self._process_requests(scheduled_requests,
+                                                 model_outputs,
+                                                 new_tokens,
+                                                 num_context_logits_prefix_sum,
+                                                 seq_slots=seq_slots_host,
+                                                 log_probs_host=log_probs_host)
+
         sampler_event = torch.cuda.Event()
         sampler_event.record()
         return SampleState(scheduled_requests=scheduled_requests,
@@ -600,62 +1008,345 @@ def sample_async(self, scheduled_requests: ScheduledRequests,
                            sampler_event=sampler_event)
 
     @staticmethod
-    def append_eagle3(tokens: torch.Tensor, model_outputs):
+    def _apply_d2t(tokens: torch.Tensor, model_outputs) -> None:
+        """Applies draft-to-target token translation table.
+
+        Modifies tokens in-place.
+        """
         if "d2t" in model_outputs:
             d2t = model_outputs["d2t"][tokens]
             tokens += d2t
 
     @staticmethod
     def _apply_embedding_bias(
-            logits: torch.Tensor,
-            requests: list[LlmRequest],
-            steps_per_request: list[int] = None) -> torch.Tensor:
+        logits: torch.Tensor,
+        requests: list[LlmRequest],
+        request_steps: torch.Tensor,
+    ) -> None:
         """Apply embedding bias (aka logit bias) to logits.
-        If steps_per_request is None, assumes 1 step per request (non-batched path).
+
+        Arguments:
+          request_steps: Number of steps/tokens for each request.
+
+        Modifies logits in-place.
         """
-        # Collect biases and their associated data
-        bias_list = []
-        bias_data = []  # Either indices (fast path) or steps (batched path)
-
-        for i, req in enumerate(requests):
-            bias = req._py_embedding_bias_1d
-            if bias is not None:
-                bias_list.append(bias)
-                bias_data.append(i if steps_per_request is
-                                 None else steps_per_request[i])
-
-        if not bias_list:
-            return logits
-
-        bias_tensor = torch.stack(bias_list).to(logits.device,
-                                                non_blocking=True)
-        logits = logits.clone()
-
-        if steps_per_request is None:
-            # Fast path: direct indexing
-            indices = torch.tensor(bias_data, device=logits.device)
-            logits[indices] += bias_tensor
+        # NB: Unfortunately, Torch provides no combination of torch.index_select (similar to
+        #     torch.Tensor.gather -- allows one-to-many mapping) and addition, analogous to how
+        #     torch.Tensor.scatter_add_ (and it's variant torch.Tensor.index_add_ -- allows
+        #     many-to-one mapping) combine addition with torch.Tensor.scatter_.
+        #
+        #     Notwithstanding the previous point, there are two options:
+        #         (i)  materialize a permuted bias tensor with repeated consecutive rows via
+        #              torch.repeat_interleave and then use torch.Tensor.index_add_ (poor write
+        #              locality / risk of false sharing)
+        #        (ii)  materialize the correctly ordered bias tensor via torch.index_select and then
+        #              perform a masked addition (poor read locality for request batches randomly
+        #              mixing uniform and heterogeneous bias tensors, i.e., mixing slices with high
+        #              and low reuse).
+        #     Since read-caching is expected to help in typical cases, option (ii) is implemented here.
+
+        # Track which logits require logit bias application
+        logits_bias_mask = torch.zeros((logits.size(0), ),
+                                       dtype=torch.bool,
+                                       pin_memory=True)
+
+        _next_bias_index = 0
+
+        def provision_bias_index() -> int:
+            nonlocal _next_bias_index
+            bias_index = _next_bias_index
+            _next_bias_index += 1
+            return bias_index
+
+        # Indices of unique bias tensors
+        #
+        # NB: hash(torch.Tensor) is equivalent to id(torch.Tensor), and does not
+        #     depend on tensor contents, cf. https://github.com/pytorch/pytorch/issues/2569
+        bias_to_index: dict[torch.Tensor,
+                            int] = defaultdict(provision_bias_index)
+
+        # Source indices for bias application
+        bias_gather_indices: list[int] = []
+
+        # Collect bias information
+        req_bias = None
+        for i, (req, steps) in enumerate(zip(requests, request_steps)):
+            steps = int(steps.item())
+            req_bias = req._py_embedding_bias_1d
+            if req_bias is not None:
+                logits_bias_mask[i:(i + steps)] = True
+                req_bias_index = bias_to_index[req_bias]
+                bias_gather_indices.extend(repeat(req_bias_index, steps))
+
+        if not bias_to_index:
+            return
+        assert req_bias is not None  # otherwise bias_to_index is empty
+
+        bias_gather_indices_cuda = torch.tensor(bias_gather_indices,
+                                                pin_memory=True,
+                                                dtype=torch.int32).to(
+                                                    logits.device,
+                                                    non_blocking=True)
+        logits_bias_mask_cuda = logits_bias_mask.to(logits.device,
+                                                    non_blocking=True)
+        biases_tensor = torch.empty((len(bias_to_index), *req_bias.shape),
+                                    pin_memory=True)
+        biases_tensor = torch.stack(
+            tuple(bias_to_index.keys()),
+            out=biases_tensor,
+        )
+        biases_tensor_cuda = biases_tensor.to(logits.device, non_blocking=True)
+
+        biases_tensor_cuda = torch.index_select(biases_tensor_cuda, 0,
+                                                bias_gather_indices_cuda)
+        # NB: Avoiding logits[bias_scatter_indices] += biases_tensor (and torch.Tensor.scatter_add_), because it
+        #     is unclear if this allows for repeated indices, cf.
+        #         https://docs.pytorch.org/docs/2.8/generated/torch.Tensor.index_put_.html#torch-tensor-index-put
+        #     and thus introduces read-after-write dependencies (including possible false
+        #     sharing).
+        logits[logits_bias_mask_cuda] += biases_tensor_cuda
+
+    def _sample_batched_by_strategy(
+        self,
+        logits_cuda: torch.Tensor,
+        requests: list[LlmRequest],
+        model_outputs: dict[str, torch.Tensor],
+        *,
+        cuda_device: torch.device,
+        log_probs_host: torch.Tensor | None = None,
+        req_num_steps: torch.Tensor,
+        req_offsets: torch.Tensor,
+        steps_dim_size: int,
+        token_dtype: torch.dtype,
+    ) -> _BatchedSamplingResult:
+        requests_by_strategy = _group_requests_by_sampling_strategy(
+            requests, pin_memory=True)
+        generator_cuda = self.get_generator(cuda_device)
+
+        # FIXME: This check should/could be performed in ModelDrafter.prepare_draft_tokens
+        #
+        # NB: Currently, "d2t" is applied to draft tokens, but not to draft logits,
+        #     breaking _process_draft_tokens_rejection_sampling.
+        needs_d2t = "d2t" in model_outputs
+        if needs_d2t and (len(requests_by_strategy) > 1 or
+                          (requests_by_strategy
+                           and next(iter(requests_by_strategy)) != GREEDY)):
+            raise ValueError("d2t does not yet support non-greedy sampling")
+
+        # Indexer for accessing tokens in 'logits_cuda', corresponding to the
+        # requests in 'requests'.
+        logits_cuda_indexer = _PackedStepIndexer(
+            num_steps=req_num_steps,
+            max_steps=steps_dim_size,
+            req_offsets=req_offsets,
+        )
+
+        batched_results: list[tuple[torch.Tensor, torch.Tensor,
+                                    torch.Tensor]] = []
+        py_draft_logits_indices: list[tuple[LlmRequest, torch.Tensor]] = [
+        ]  # see _BatchedSamplingResult for details
+        softmax_index_offset = 0
+        for strategy, group_req_indices in requests_by_strategy.items():
+            # group_req_indices: Indices of 'requests' entries having the same sampling
+            # strategy, ordered ascending.
+
+            # Indices of 'group_req_indices' entries corresponding to requests
+            # with draft logits.
+            speculation_group_indices = [
+                grp_idx
+                for grp_idx, glob_req_idx in enumerate(group_req_indices)
+                if requests[glob_req_idx].py_draft_logits is not None
+            ]
+            # To skip softmax computation where it is not needed, track
+            #   softmax_req_indices: Indices of 'requests' entries requesting probs
+            #   softmax_grp_indices: Indices of 'speculation_group_indices' entries requesting probs
+            #   speculation_softmax_indices: Indices of 'softmax_grp_indices' entries corresponding
+            #                                to requests with draft logits.
+            if log_probs_host is not None:
+                softmax_req_indices = group_req_indices
+                softmax_grp_indices = torch.arange(len(group_req_indices),
+                                                   dtype=torch.int32)
+                speculation_softmax_indices = torch.tensor(
+                    speculation_group_indices, dtype=torch.int32)
+            else:
+                speculation_group_indices_tensor = torch.tensor(
+                    speculation_group_indices, dtype=torch.int32)
+                softmax_req_indices = group_req_indices[
+                    speculation_group_indices_tensor]
+                softmax_grp_indices = speculation_group_indices_tensor
+                speculation_softmax_indices = torch.arange(
+                    len(speculation_group_indices), dtype=torch.int32)
+
+            group_logits_cuda_indices = logits_cuda_indexer[group_req_indices]
+            if group_logits_cuda_indices.numel() != logits_cuda.size(0):
+                group_logits_cuda_indices_cuda = group_logits_cuda_indices.to(
+                    device=logits_cuda.device, non_blocking=True)
+                group_logits_cuda = logits_cuda[group_logits_cuda_indices_cuda]
+            else:
+                group_logits_cuda = logits_cuda
+
+            # Indexer for accessing tokens in 'group_logits_cuda' (and 'group_next_tokens_cuda')
+            # corresponding to the requests in 'group_req_indices'.
+            group_logits_cuda_indexer = _PackedStepIndexer(
+                num_steps=req_num_steps[group_req_indices],
+                max_steps=steps_dim_size)
+            softmax_group_indices_cuda = group_logits_cuda_indexer[
+                softmax_grp_indices].to(device=logits_cuda.device,
+                                        non_blocking=True)
+
+            # Indexer for accessing tokens in 'group_softmax_cuda' corresponding to the
+            # requests in 'softmax_req_indices'.
+            if softmax_req_indices is not group_req_indices:
+                group_softmax_cuda_indexer = _PackedStepIndexer(
+                    num_steps=req_num_steps[softmax_req_indices],
+                    max_steps=steps_dim_size)
+            else:
+                group_softmax_cuda_indexer = group_logits_cuda_indexer
+
+            py_draft_logits_indices += [(
+                requests[request_idx],
+                softmax_index_offset + group_softmax_cuda_indexer[softmax_idx],
+            ) for softmax_idx, request_idx in zip(
+                speculation_softmax_indices,
+                softmax_req_indices[speculation_softmax_indices],
+            )]
+
+            group_next_tokens_cuda, group_softmax_cuda = sample(
+                strategy,
+                group_logits_cuda,
+                generator_cuda,
+                softmax_indices=cast(torch.IntTensor,
+                                     softmax_group_indices_cuda),
+            )
+            group_next_tokens_cuda_int = group_next_tokens_cuda.to(
+                dtype=token_dtype, non_blocking=True)
+            batched_results.append(
+                (group_req_indices, group_next_tokens_cuda_int,
+                 group_softmax_cuda))
+            softmax_index_offset += group_softmax_cuda.size(0)
+        # Batched sampling results, see _BatchedSamplingResult for details.
+        if len(batched_results) > 1:
+            batch_req_indices = torch.cat([res[0] for res in batched_results])
+            batch_next_tokens_cuda_int = torch.cat(
+                [res[1] for res in batched_results])
+            batch_softmax_cuda = torch.cat([res[2] for res in batched_results])
         else:
-            # Batched path: expand biases and use boolean mask
-            expanded_biases = torch.repeat_interleave(bias_tensor,
-                                                      torch.tensor(
-                                                          bias_data,
-                                                          device=logits.device),
-                                                      dim=0)
-
-            mask = torch.zeros(sum(steps_per_request),
-                               dtype=torch.bool,
-                               device=logits.device)
-            offset = 0
-            for i, req in enumerate(requests):
-                steps = steps_per_request[i]
-                if req._py_embedding_bias_1d is not None:
-                    mask[offset:offset + steps] = True
-                offset += steps
+            (batch_req_indices, batch_next_tokens_cuda_int,
+             batch_softmax_cuda), = batched_results
+
+        # FIXME: This should be done in ModelDrafter.prepare_draft_tokens, but for performance
+        #        parity py_draft_tokens might need to be replaced / backed by a torch.Tensor, so
+        #        that d2t can be applied in a batched manner similar to the code below.
+        if needs_d2t:
+            # NB: The sampler is either called directly by PyExecutor, for the target model,
+            #     or by ModelDrafter.prepare_draft_tokens(), for the draft model. In the former
+            #     case there are 1 + get_draft_token_length(request) tokens per request. In the
+            #     latter case, only there is always only 1 token per request because draft
+            #     tokens are sampled one-by-one.
+            self._apply_d2t(batch_next_tokens_cuda_int, model_outputs)
+
+        return _BatchedSamplingResult(
+            batch_req_indices=batch_req_indices,
+            batch_next_tokens_cuda_int=batch_next_tokens_cuda_int,
+            batch_softmax_cuda=batch_softmax_cuda,
+            py_draft_logits_indices=py_draft_logits_indices,
+        )
 
-            logits[mask] += expanded_biases
+    def _unbatch_sampling_results(
+        self,
+        batched_sampling_result: _BatchedSamplingResult,
+        *,
+        new_tokens_cuda: torch.Tensor,
+        req_num_steps: torch.Tensor,
+        seq_slots: torch.Tensor,
+        log_probs_host: torch.Tensor | None = None,
+    ) -> torch.Tensor:
+        beam = self.BEAM
+        assert beam == 0, "beam_width != 1 not supported"
+
+        batch_req_indices = batched_sampling_result.batch_req_indices
+        batch_next_tokens_cuda_int = batched_sampling_result.batch_next_tokens_cuda_int
+        batch_softmax_cuda = batched_sampling_result.batch_softmax_cuda
+        py_draft_logits_indices = batched_sampling_result.py_draft_logits_indices
+
+        def _dims_canonically_ordered(t: torch.Tensor) -> bool:
+            return len(t.dim_order(
+                ambiguity_check=[torch.contiguous_format])) == t.ndim
+
+        # Assert destination tensor dimensions are canonically ordered ("row"-major); this
+        # matters for element ordering in the .view(...).scatter_(...) calls below.
+        assert _dims_canonically_ordered(new_tokens_cuda)
+        assert log_probs_host is None or _dims_canonically_ordered(
+            log_probs_host)
+
+        #     new_tokens_cuda indexed by
+        #         slice(0, steps), slot, beam
+        #     log_probs_host indexed by
+        #         slot, beam, slice(0, steps)
+        #     batch_... tensors indexed by slice(batch_req_index, batch_req_index + steps)
+        #
+        if log_probs_host is not None:
+            assert new_tokens_cuda.size(0) == log_probs_host.size(-2)
+
+        # Construct index mapping from slice indices of computed tensors
+        # (packed request_idx and step dimensions) to linearized indices
+        # in (steps, seq_slot).
+        batch_destination_cuda_indexer = _UnpackedStepIndexer(
+            seq_slots=seq_slots[batch_req_indices],
+            num_steps=req_num_steps[batch_req_indices],
+            steps_dim_size=new_tokens_cuda.size(0),
+            slots_dim_size=new_tokens_cuda.size(1),
+            dim_order=_UnpackedStepIndexer.DimOrder.STEP_MAJOR,
+            index_dtype=torch.int64,  # enforced by Tensor.scatter_
+        )
 
-        return logits
+        # Batch update output tensors
+        batch_dest_indices_1d_cuda = batch_destination_cuda_indexer[:].to(
+            new_tokens_cuda.device, non_blocking=True)
+        new_tokens_cuda.view(-1,
+                             *new_tokens_cuda.shape[2:])[:, beam, ...].scatter_(
+                                 0, batch_dest_indices_1d_cuda,
+                                 batch_next_tokens_cuda_int)
+        new_tokens_host = new_tokens_cuda.to("cpu", non_blocking=True)
+        # NB: In order to avoid a scatter_ on the host and the necessary D2H copy + synchronization,
+        #     the 'step' and 'seq_slot' dimensions are unpacked on GPU and later asynchronously
+        #     copied into the destination buffer. Note that this overwrites all 'step' and token slots for the
+        #     requests in 'requests' (passed to _process_requests). In fact, the current implementation
+        #     even overwrites the destination tensors completely (including slices corresponding to request
+        #     slots not present in 'requests', cf. 'FIXME' below).
+        if log_probs_host is not None:
+            # FIXME: If log_probs_host were indexed by request indices, rather than request slots, this
+            #        tensor could be packed densely along the request axis.
+            log_probs_cuda = torch.empty_like(
+                log_probs_host, device=batch_dest_indices_1d_cuda.device)
+            # FIXME: Needs a separate indexer because tensor layout differs from new_tokens_cuda
+            batch_dest_probs_cuda_indexer = _UnpackedStepIndexer(
+                seq_slots=seq_slots[batch_req_indices],
+                num_steps=req_num_steps[batch_req_indices],
+                steps_dim_size=new_tokens_cuda.size(0),
+                slots_dim_size=new_tokens_cuda.size(1),
+                dim_order=_UnpackedStepIndexer.DimOrder.SLOT_MAJOR,
+                index_dtype=torch.int64,  # enforced by Tensor.scatter_
+            )
+            batch_dest_probs_indices_cuda = batch_dest_probs_cuda_indexer[:].to(
+                batch_softmax_cuda.device, non_blocking=True)
+            # NB: torch.arange is needed to enable "advanced indexing",
+            #   cf. https://numpy.org/devdocs/user/basics.indexing.html#integer-array-indexing
+            batch_token_probs = batch_softmax_cuda[
+                torch.arange(batch_softmax_cuda.size(0),
+                             device=batch_softmax_cuda.device,
+                             dtype=torch.int32), batch_next_tokens_cuda_int]
+            log_probs_cuda[:, beam,
+                           ...].view(-1, *log_probs_cuda.shape[3:]).scatter_(
+                               0, batch_dest_probs_indices_cuda,
+                               torch.log(batch_token_probs))
+            log_probs_host.copy_(log_probs_cuda, non_blocking=True)
+        # For requests with LlmRequest.py_draft_logits, return py_target_probs
+        for request, batch_softmax_index_cuda in py_draft_logits_indices:
+            request.py_target_probs = batch_softmax_cuda[
+                batch_softmax_index_cuda].clone()
+
+        return new_tokens_host
 
     @staticmethod
     @torch.inference_mode()
@@ -687,103 +1378,141 @@ def _apply_min_length_penalty(logits: torch.Tensor,
                 current_offset += num_steps[index]
         return logits
 
-    def _process_requests(self,
-                          scheduled_requests: ScheduledRequests,
-                          model_outputs: dict[str, torch.Tensor],
-                          new_tokens: torch.Tensor,
-                          num_context_logits_prefix_sum: list[int],
-                          *,
-                          log_probs_host: torch.Tensor | None = None):
-        beam_width = self.MAX_BEAM_WIDTH
-        beam = self.BEAM
-
-        # raw_logits should contain only the logits from the gen requests.
-        # If return context logits is requested, fetch only the logits from gen requests.
+    @staticmethod
+    def _select_generated_logits(
+        scheduled_requests: ScheduledRequests,
+        raw_logits_cuda: torch.Tensor,
+        *,
+        req_num_generation_steps: torch.Tensor,
+        num_context_logits_prefix_sum: list[int],
+        generation_requests_total_steps: int,
+    ) -> torch.Tensor:
+        # raw_logits should contain only the generated logits.
+        # If return context logits is requested, select only the generated logits.
+        #
+        # NB: Context request logits always precede generation request logits, also
+        #     requests == scheduled_requests.context_requests + scheduled_requests.generation_requests
         if any(r.py_return_context_logits
                for r in scheduled_requests.context_requests):
-            gen_logits_indices = []
-            total_context_logits = num_context_logits_prefix_sum[-1]
-            for i in range(len(scheduled_requests.context_requests)):
-                gen_logits_indices.append(num_context_logits_prefix_sum[i + 1] -
-                                          1)
-            gen_logits_indices.extend(
-                range(
-                    total_context_logits, total_context_logits +
-                    len(scheduled_requests.generation_requests)))
-            raw_logits = model_outputs["logits"][gen_logits_indices]
-        else:
-            raw_logits = model_outputs["logits"]
+            assert len(num_context_logits_prefix_sum) == len(
+                scheduled_requests.context_requests) + 1
+            req_num_generation_steps_cuda = req_num_generation_steps.to(
+                raw_logits_cuda.device, non_blocking=True)
+            context_req_offsets_cuda = torch.tensor(
+                num_context_logits_prefix_sum,
+                dtype=torch.int32,
+                pin_memory=True).to(device=raw_logits_cuda.device,
+                                    non_blocking=True)
+
+            # Since the goal is to keep the req_num_steps[i] last tokens for each requests[i],
+            # only end-offsets of the token storage locations matter.
+            next_context_req_offsets_cuda = context_req_offsets_cuda.roll(
+                -1)  # trailing '0' is overwritten below
+            # Since logits for generation requests are densely packed, cover them all by a single
+            # fictituous entry in 'context_req_offsets_cuda'.
+            if scheduled_requests.generation_requests:
+                req_num_steps_fictitious_cuda = req_num_generation_steps_cuda[:(
+                    len(scheduled_requests.context_requests) + 1)].clone()
+                req_num_steps_fictitious_cuda[
+                    -1] = generation_requests_total_steps
+                next_context_req_offsets_cuda[-1] = (
+                    next_context_req_offsets_cuda[-2] +
+                    req_num_steps_fictitious_cuda[-1])
+            else:
+                req_num_steps_fictitious_cuda = req_num_generation_steps_cuda[:len(
+                    scheduled_requests.context_requests)]
+                next_context_req_offsets_cuda = next_context_req_offsets_cuda[:
+                                                                              -1]
+
+            # Now, the generated tokens for context request i are at indices
+            #    range(next_context_req_offsets_cuda[i] - req_num_steps_fictitious_cuda[i], next_context_req_offsets_cuda[i])
+            # And if generation requests are present, those tensors each include a trailing entry selecting
+            # all tokens/logits generated by all generation requests.
+            indices_to_keep_cuda = torch_multi_arange(
+                starts=(next_context_req_offsets_cuda -
+                        req_num_steps_fictitious_cuda),
+                ends=next_context_req_offsets_cuda,
+            )
+
+            raw_logits_cuda = raw_logits_cuda[indices_to_keep_cuda]
+        return raw_logits_cuda
+
+    @nvtx_range("_process_requests")
+    def _process_requests(
+            self,
+            scheduled_requests: ScheduledRequests,
+            model_outputs: dict[str, torch.Tensor],
+            new_tokens_cuda: torch.Tensor,
+            num_context_logits_prefix_sum: list[int],
+            *,
+            seq_slots: torch.Tensor,
+            log_probs_host: torch.Tensor | None = None) -> torch.Tensor:
+        seq_slots = seq_slots.to(dtype=torch.int32)  # int32 suffices here
+
+        raw_logits_cuda = model_outputs["logits"]
 
         requests = scheduled_requests.all_requests()
-        num_steps = [1 + get_draft_token_length(req) for req in requests]
-        raw_logits = self._apply_min_length_penalty(raw_logits, requests,
-                                                    num_steps)
-        sum_steps = sum(num_steps)
-        no_draft_tokens = len(requests) == sum_steps
-        fast_path = not self.enable_mixed_sampler and no_draft_tokens and log_probs_host is None
-
-        seq_slots_host = torch.as_tensor([r.py_seq_slot for r in requests])
-        seq_slots = seq_slots_host.to(device="cuda", non_blocking=True)
-
-        if fast_path:
-            logits = raw_logits[:len(requests)]
-            logits = self._apply_embedding_bias(logits, requests)
-            next_tokens = torch.argmax(logits, dim=-1)
-            self.append_eagle3(next_tokens, model_outputs)
-            int_next_tokens = next_tokens.to(torch.int, non_blocking=True)
-            next_tokens = int_next_tokens.view(1, -1, beam_width)
-            new_tokens[:1].index_copy_(1, seq_slots, next_tokens)
-            return
+        cuda_device = raw_logits_cuda.device
+        req_num_steps_list = [
+            1 + get_draft_token_length(req) for req in requests
+        ]
+        req_num_steps = torch.tensor(req_num_steps_list,
+                                     dtype=torch.int32,
+                                     pin_memory=True)
+        # NB: These offsets consider generated tokens _only_ (draft and target, but not context)
+        #     and are thus only correct after _select_generated_logits() below.
+        req_offsets, sum_steps = _PackedStepIndexer.calculate_request_offsets(
+            req_num_steps, pin_memory=True)
+
+        raw_logits_cuda = self._select_generated_logits(
+            scheduled_requests,
+            raw_logits_cuda,
+            req_num_generation_steps=req_num_steps,
+            num_context_logits_prefix_sum=num_context_logits_prefix_sum,
+            generation_requests_total_steps=(
+                # NB: requests == scheduled_requests.context_requests + scheduled_requests.generation_requests
+                sum_steps - cast(
+                    int, req_offsets[len(
+                        scheduled_requests.context_requests)].item())
+                if scheduled_requests.generation_requests else 0),
+        )
 
-        strategies = sampling_strategies(requests)
-        batched_next_tokens, batched_softmax = None, None
-        batched_strategy: Strategy | None = GREEDY
-        if self.enable_mixed_sampler:
-            assert "d2t" not in model_outputs, "eagle3 does not yet support non-greedy sampling"
-            if len(set(strategies)) == 1:
-                batched_strategy = strategies[0]
-            else:
-                batched_strategy = None
-        generator = self.get_generator(raw_logits.device)
-        if batched_strategy is not None:
-            logits = raw_logits[:sum_steps]
-            # Collect steps per request for batched strategy
-            steps_per_request = [
-                1 + get_draft_token_length(req) for req in requests
-            ]
-            logits = self._apply_embedding_bias(logits, requests,
-                                                steps_per_request)
-            batched_next_tokens, batched_softmax = sample(
-                batched_strategy, logits, generator)
-            self.append_eagle3(batched_next_tokens, model_outputs)
-
-        offset = 0
-        for i, (strategy, slot, steps, request) in enumerate(
-                zip(strategies, seq_slots_host, num_steps, requests)):
-            input_slice = slice(offset, offset + steps)
-            logits = raw_logits[input_slice]
-
-            req = requests[i]
-
-            if batched_next_tokens is None:
-                logits = self._apply_embedding_bias(logits, [req])
-                next_tokens, softmax = sample(strategy, logits, generator)
-            else:
-                # Batched processing already applied bias, just use the results
-                next_tokens = batched_next_tokens[input_slice]
-                softmax = batched_softmax[input_slice]
-            current_slice = slice(0, steps), slot, beam
-            new_tokens[current_slice] = next_tokens
-            if request.py_draft_logits is not None:
-                request.py_target_probs = softmax.clone()
-            if log_probs_host is not None:
-                assert beam == 0, "The following call relies on beam_width to be 1 - hence the unsqueeze"
-                token_probs = torch.gather(
-                    softmax, dim=1, index=next_tokens.unsqueeze(1)).squeeze(-1)
-                log_probs = torch.log(token_probs)
-                log_probs_host[slot, beam, :steps].copy_(log_probs,
-                                                         non_blocking=True)
-            offset += steps
+        # Handle embedding bias
+        logits_cuda = raw_logits_cuda[:sum_steps]
+        self._apply_embedding_bias(logits_cuda, requests, req_num_steps)
+
+        logits_cuda = self._apply_min_length_penalty(logits_cuda, requests,
+                                                     req_num_steps_list)
+
+        # Perform sampling in batches
+        batched_sampling_result = self._sample_batched_by_strategy(
+            logits_cuda,
+            requests,
+            model_outputs,
+            cuda_device=cuda_device,
+            log_probs_host=log_probs_host,
+            req_offsets=req_offsets,
+            steps_dim_size=new_tokens_cuda.size(0),
+            req_num_steps=req_num_steps,
+            token_dtype=new_tokens_cuda.dtype,
+        )
+
+        # Fill results into output buffers
+        new_tokens_host = self._unbatch_sampling_results(
+            batched_sampling_result,
+            new_tokens_cuda=new_tokens_cuda,
+            log_probs_host=log_probs_host,
+            req_num_steps=req_num_steps,
+            seq_slots=seq_slots,
+        )
+
+        # NB: update_requests syncs w/ device computation and async D2H copies
+        return new_tokens_host
+
+    @override
+    def should_provide_draft_probs(self, request: LlmRequest) -> bool:
+        # Do not request draft probs when sampling is greedy.
+        return _request_strategy(request) is not GREEDY
 
 
 class Algorithms:
@@ -816,6 +1545,7 @@ class TRTLLMSampler(Sampler):
     MAX_DECODING_TOKENS = 1  # It must be 1 when not in speculative decoding
     SampleState = SampleStateTRTLLM
 
+    @override
     def is_generation_model(self) -> bool:
         return True
 
@@ -968,6 +1698,7 @@ def _update_cache_indirection_buffer(self,
 
     @torch.inference_mode()
     @nvtx_range("sample_async")
+    @override
     def sample_async(
             self, scheduled_requests: ScheduledRequests, model_outputs,
             num_context_logits_prefix_sum: list[int]) -> SampleStateTRTLLM:
@@ -1059,6 +1790,7 @@ def sample_async(
                                  finalize_events=finalize_events)
 
     @torch.inference_mode()
+    @override
     def update_requests(self, state: SampleStateTRTLLM):
         assert isinstance(state, SampleStateTRTLLM)
         if state.scheduled_requests.batch_size == 0:
diff --git a/tensorrt_llm/_torch/speculative/eagle3.py b/tensorrt_llm/_torch/speculative/eagle3.py
index 7fb7d9f0736..a018809c41b 100644
--- a/tensorrt_llm/_torch/speculative/eagle3.py
+++ b/tensorrt_llm/_torch/speculative/eagle3.py
@@ -1,5 +1,5 @@
 from dataclasses import dataclass, field
-from typing import List, Optional, Set
+from typing import TYPE_CHECKING, List, Optional, Set
 
 import torch
 from torch import nn
@@ -15,6 +15,9 @@
 from .interface import SpecMetadata
 from .mtp import MTPSampler
 
+if TYPE_CHECKING:
+    from ...llmapi.llm_args import EagleDecodingConfig
+
 
 class Eagle3ResourceManager(BaseResourceManager):
     """
diff --git a/tensorrt_llm/_torch/speculative/model_drafter.py b/tensorrt_llm/_torch/speculative/model_drafter.py
index 5e2080c1d71..19673982b0b 100644
--- a/tensorrt_llm/_torch/speculative/model_drafter.py
+++ b/tensorrt_llm/_torch/speculative/model_drafter.py
@@ -12,14 +12,14 @@
 from ..pyexecutor.handle_logits import HandleLogits
 from ..pyexecutor.llm_request import LlmRequest, LlmRequestState
 from ..pyexecutor.resource_manager import BaseResourceManager, ResourceManager
-from ..pyexecutor.sampler import (Sampler, SampleState, SampleStateTensors,
-                                  TorchSampler)
+from ..pyexecutor.sampler import Sampler, SampleState, SampleStateTensors
 from ..pyexecutor.scheduler import ScheduledRequests
 from ..pyexecutor.seq_slot_manager import SeqSlotManager
 from ..speculative.mtp import SampleStateTensorsMTP
 from .drafter import Drafter
 
 if TYPE_CHECKING:
+    from ...llmapi.llm_args import DecodingBaseConfig
     from ..pyexecutor.model_engine import ModelEngine
     from .interface import SpeculativeDecodingMode
 
@@ -56,7 +56,7 @@ def __init__(
         if draft_model_engine is None:
             raise ValueError("draft_model_engine cannot be None")
         if max_draft_tokens < 0:
-            raise ValueError(f"max_draft_tokens must be >= 0")
+            raise ValueError("max_draft_tokens must be >= 0")
 
         # Model and resource management
         self.draft_model_engine = draft_model_engine
@@ -68,30 +68,32 @@ def __init__(
         self.max_draft_tokens = max_draft_tokens
         # Sampling
         self.sampler = sampler
-        self._request_draft_logits = False
-        if isinstance(sampler, TorchSampler):
-            self._request_draft_logits = sampler.enable_mixed_sampler
         self.guided_decoder = guided_decoder
 
         self.use_static_draft_loop = draft_model_engine.model_is_wrapped
         if self.use_static_draft_loop:
             # TODO: enable sampling/guided decoding on static draft loop
             assert guided_decoder is None
-            assert not sampler.enable_mixed_sampler
+            assert spec_config._allow_greedy_draft_tokens
 
     def _create_draft_request(self, request: LlmRequest,
                               input_tokens: Optional[List]) -> LlmRequest:
         """Create a draft request with common parameters."""
-        return LlmRequest(input_tokens=input_tokens,
-                          request_id=request.py_request_id,
-                          max_new_tokens=request.py_max_new_tokens,
-                          sampling_config=request.sampling_config,
-                          guided_decoding_params=request.guided_decoding_params,
-                          target_seq_slot=request.py_seq_slot,
-                          return_perf_metrics=request.return_perf_metrics,
-                          is_streaming=False,
-                          is_draft=True,
-                          return_generation_logits=self._request_draft_logits)
+        return LlmRequest(
+            input_tokens=input_tokens,
+            request_id=request.py_request_id,
+            max_new_tokens=request.py_max_new_tokens,
+            sampling_config=request.sampling_config,
+            guided_decoding_params=request.guided_decoding_params,
+            target_seq_slot=request.py_seq_slot,
+            return_perf_metrics=request.return_perf_metrics,
+            is_streaming=False,
+            exclude_last_generation_logits=
+            True,  # prepare_draft_tokens uses overlap scheduling
+            is_draft=True,
+            # NB: self.sampler is shared with PyExecutor
+            return_generation_logits=self.sampler.should_provide_draft_probs(
+                request))
 
     def _initialize_draft_tokens(self, request: LlmRequest) -> Tuple[int, int]:
         """Initialize draft token tracking for a request."""
@@ -285,23 +287,20 @@ def sample_async(self, draft_batch: ScheduledRequests,
                      outputs: Dict[str, Any]) -> Optional[SampleState]:
         """Sample tokens from draft model outputs."""
         try:
-            if self.sampler is not None:
-                num_context_logits_prefix_sum = [0]
-                prefix_sum = 0
-                for request in draft_batch.context_requests:
-                    prefix_sum += request.context_chunk_size if request.py_return_context_logits else 1
-                    num_context_logits_prefix_sum.append(prefix_sum)
-
-                HandleLogits()(
-                    draft_batch.context_requests,
-                    draft_batch.generation_requests, outputs["logits"],
-                    self.sampler.beam_width(draft_batch.all_requests()),
-                    num_context_logits_prefix_sum,
-                    self.sampler.is_generation_model())
-
-                return self.sampler.sample_async(draft_batch, outputs,
-                                                 num_context_logits_prefix_sum)
-            return None
+            num_context_logits_prefix_sum = [0]
+            prefix_sum = 0
+            for request in draft_batch.context_requests:
+                prefix_sum += request.context_chunk_size if request.py_return_context_logits else 1
+                num_context_logits_prefix_sum.append(prefix_sum)
+
+            HandleLogits()(draft_batch.context_requests,
+                           draft_batch.generation_requests, outputs["logits"],
+                           self.sampler.beam_width(draft_batch.all_requests()),
+                           num_context_logits_prefix_sum,
+                           self.sampler.is_generation_model())
+
+            return self.sampler.sample_async(draft_batch, outputs,
+                                             num_context_logits_prefix_sum)
         except Exception as e:
             logger.error(f"Error in sampling: {str(e)}")
             return None
@@ -317,8 +316,7 @@ def update_request_states(self,
 
     def update_requests(self, sample_state: SampleState) -> None:
         """Update requests with sample state."""
-        if self.sampler is not None:
-            self.sampler.update_requests(sample_state)
+        self.sampler.update_requests(sample_state)
 
     def process_decoded_tokens(
             self, draft_batch: ScheduledRequests,
@@ -334,8 +332,7 @@ def process_decoded_tokens(
                 continue
 
             target_model_req.py_draft_tokens.append(req.get_last_tokens(0))
-            if self._request_draft_logits:
-                target_model_req.py_draft_logits = req.py_result.generation_logits
+            target_model_req.py_draft_logits = req.py_result.generation_logits  # forwards Nones
             if req.state != LlmRequestState.GENERATION_COMPLETE and len(
                     target_model_req.py_draft_tokens
             ) < target_model_req.py_draft_pages_allocated:
diff --git a/tensorrt_llm/evaluate/json_mode_eval.py b/tensorrt_llm/evaluate/json_mode_eval.py
index 37360754e50..122cbd6e7e4 100644
--- a/tensorrt_llm/evaluate/json_mode_eval.py
+++ b/tensorrt_llm/evaluate/json_mode_eval.py
@@ -64,7 +64,8 @@ def generate_samples(self) -> Iterable[tuple]:
                 schema["x-guidance"] = {"lenient": True}
                 schema = json.dumps(schema)
             sampling_args = {
-                "guided_decoding": GuidedDecodingParams(json=schema)
+                "guided_decoding": GuidedDecodingParams(json=schema),
+                "temperature": 0,
             }
             yield sample["prompt"], sampling_args, sample["completion"], sample[
                 "schema"]
diff --git a/tensorrt_llm/evaluate/mmlu.py b/tensorrt_llm/evaluate/mmlu.py
index 92d7ae1171a..b3b3f4ee7cf 100644
--- a/tensorrt_llm/evaluate/mmlu.py
+++ b/tensorrt_llm/evaluate/mmlu.py
@@ -219,7 +219,7 @@ def generate_samples(self) -> Iterable[tuple]:
                                                  include_answer=False)
                 prompt = train_prompt + prompt_end
                 label = test_df.iloc[i, test_df.shape[1] - 1]
-                yield prompt, None, label, subject
+                yield prompt, {"temperature": 0}, label, subject
 
     def compute_score(self, outputs: List[RequestOutput], references: List[str],
                       subjects: List[str]) -> float:
diff --git a/tensorrt_llm/llmapi/llm_args.py b/tensorrt_llm/llmapi/llm_args.py
index ecf0ffdf362..8e2b1818549 100644
--- a/tensorrt_llm/llmapi/llm_args.py
+++ b/tensorrt_llm/llmapi/llm_args.py
@@ -356,8 +356,12 @@ class DecodingBaseConfig(StrictBaseModel):
     # When specified, speculation will be disabled at batch sizes above
     # this value. Otherwise, speculation will always be on.
     max_concurrency: Optional[int] = None
+
     load_format: Optional[str] = None
 
+    # If set, drafting uses greedy sampling, irrespective of sampling parameters.
+    _allow_greedy_draft_tokens: bool = PrivateAttr(True)
+
     @classmethod
     def from_dict(cls, data: dict):
         # dispatch to the correct decoding config
@@ -2169,12 +2173,6 @@ class TorchLlmArgs(BaseLlmArgs):
                               description="Attention backend to use.",
                               status="beta")
 
-    enable_mixed_sampler: bool = Field(
-        default=False,
-        description=
-        "If true, will iterate over sampling_params of each request and use the corresponding sampling strategy, e.g. top-k, top-p, etc.",
-        status="beta")
-
     sampler_type: Union[str, SamplerType] = Field(
         default=SamplerType.auto,
         description=
@@ -2502,7 +2500,6 @@ def get_pytorch_backend_config(self) -> "PyTorchConfig":
             moe_load_balancer=self.moe_config.load_balancer,
             attn_backend=self.attn_backend,
             moe_backend=self.moe_config.backend,
-            enable_mixed_sampler=self.enable_mixed_sampler,
             sampler_type=self.sampler_type,
             kv_cache_dtype=self.kv_cache_config.dtype,
             mamba_ssm_cache_dtype=self.kv_cache_config.mamba_ssm_cache_dtype,
diff --git a/tensorrt_llm/scaffolding/worker.py b/tensorrt_llm/scaffolding/worker.py
index f154203d46c..20987c4bfd8 100644
--- a/tensorrt_llm/scaffolding/worker.py
+++ b/tensorrt_llm/scaffolding/worker.py
@@ -165,7 +165,6 @@ def init_with_new_llm(
 
         llm = LLM(model_dir,
                   tokenizer=tokenizer,
-                  enable_mixed_sampler=True,
                   disable_overlap_scheduler=disable_overlap_scheduler,
                   kv_cache_config=kv_cache_config,
                   max_batch_size=max_batch_size,
diff --git a/tests/unittest/api_stability/references/llm.yaml b/tests/unittest/api_stability/references/llm.yaml
index 51518bbccdb..d534c57618e 100644
--- a/tests/unittest/api_stability/references/llm.yaml
+++ b/tests/unittest/api_stability/references/llm.yaml
@@ -111,10 +111,6 @@ methods:
         annotation: str
         default: TRTLLM
         status: beta
-      enable_mixed_sampler:
-        annotation: bool
-        default: False
-        status: beta
       sampler_type:
         annotation: Union[str, tensorrt_llm.llmapi.llm_args.SamplerType]
         default: auto
diff --git a/tests/unittest/llmapi/apps/_test_openai_misc.py b/tests/unittest/llmapi/apps/_test_openai_misc.py
index 8cc715389f3..7dcac12304a 100644
--- a/tests/unittest/llmapi/apps/_test_openai_misc.py
+++ b/tests/unittest/llmapi/apps/_test_openai_misc.py
@@ -94,9 +94,12 @@ async def test_request_cancellation(server: RemoteOpenAIServer,
     # Request about 2 million tokens
     for _ in range(200):
         task = asyncio.create_task(
+            # FIXME: Some requests complete quickly without temperature=0,
+            #        despite min_tokens being specified, cf. https://nvbugs/5513423
             client.chat.completions.create(messages=chat_input,
                                            model=model_name,
                                            max_tokens=10000,
+                                           temperature=0,
                                            extra_body={"min_tokens": 10000}))
         tasks.append(task)
 
diff --git a/tests/unittest/llmapi/test_llm_pytorch.py b/tests/unittest/llmapi/test_llm_pytorch.py
index ef2de1350c1..8ff88068896 100644
--- a/tests/unittest/llmapi/test_llm_pytorch.py
+++ b/tests/unittest/llmapi/test_llm_pytorch.py
@@ -226,19 +226,9 @@ def test_llm_with_postprocess_parallel_and_result_handler(streaming):
                                                          tp_size=1)
 
 
-@pytest.mark.parametrize(
-    "enable_mixed_sampler,enable_logprobs",
-    [
-        (False, False),  # Fast path: no mixed sampler, no logits, greedy
-        (True,
-         False),  # Batched strategy path: mixed sampler enabled, same strategy
-        (False,
-         True),  # Per-request path: mixed sampler disabled, logprobs enabled
-    ])
 @pytest.mark.part0
-def test_embedding_bias_with_torch_sampler_strategies(enable_mixed_sampler,
-                                                      enable_logprobs):
-    """Test embedding bias application in all 3 TorchSampler paths: fast, batched strategy, and per-request"""
+def test_embedding_bias_with_torch_sampler_strategies():
+    """Test embedding bias application in TorchSampler."""
     tokenizer = AutoTokenizer.from_pretrained(llama_model_path)
     biased_word_id = tokenizer.encode("Z", add_special_tokens=False)[-1]
     vocab_size_padded = 32000
@@ -250,17 +240,17 @@ def test_embedding_bias_with_torch_sampler_strategies(enable_mixed_sampler,
         "embedding_bias": embedding_bias,
     }
 
-    if enable_logprobs:
-        sampling_kwargs["logprobs"] = 1
     # All test cases use greedy sampling for simplicity
 
     sampling_params = SamplingParams(**sampling_kwargs)
 
-    llm_test_harness(llama_model_path,
-                     prompts, ["Z Z Z Z Z Z"],
-                     sampling_params=sampling_params,
-                     backend="pytorch",
-                     enable_mixed_sampler=enable_mixed_sampler)
+    llm_test_harness(
+        llama_model_path,
+        prompts,
+        ["Z Z Z Z Z Z"],
+        sampling_params=sampling_params,
+        backend="pytorch",
+    )
 
 
 def llama_7b_lora_from_dir_test_harness(**llm_kwargs) -> None:
@@ -869,7 +859,6 @@ def test_min_tokens(use_speculative: bool):
         max_batch_size=2,
         kv_cache_config=global_kvcache_config,
         max_num_tokens=2048,
-        enable_mixed_sampler=True,
     )
 
     if use_speculative: