[ENH] Add default ColorsGenerator and improve condition handling

Introduce `Field(default_factory=ColorsGenerator)` to `StructuralFrame` for streamlined initialization. Convert condition number to numpy array in optimization logic for compatibility. Minor adjustments made for improved model validation and notes added for future enhancements.

gempy/core/color_generator.py

@@ -35,7 +35,7 @@ class ColorsGenerator:
     )
     _index: int = 0
 
-    def __init__(self):
+    def __post_init__(self):
         self.regenerate_color_palette()
 
     @staticmethod

gempy/core/data/structural_frame.py

@@ -3,7 +3,7 @@
 import numpy as np
 import warnings
 from dataclasses import dataclass
-from pydantic import model_validator, computed_field, ValidationError
+from pydantic import model_validator, computed_field, ValidationError, Field
 from pydantic.functional_validators import ModelWrapValidatorHandler
 from typing import Generator, Union
 
@@ -32,11 +32,12 @@ class StructuralFrame:
     """
 
     structural_groups: list[StructuralGroup]
+    color_generator: ColorsGenerator =  Field(default_factory=ColorsGenerator)
     # ? Should I create some sort of structural options class? For example, the masking descriptor and faults relations pointer
     is_dirty: bool = True
 
     # region Constructor
-
+    # 
     def __init__(self, structural_groups: list[StructuralGroup], color_gen: ColorsGenerator):
         self.structural_groups = structural_groups  # ? This maybe could be optional
         self.color_generator = color_gen

gempy/modules/optimize_nuggets/_ops.py

@@ -43,7 +43,9 @@ def run_optimization(lr, max_epochs, min_impr, model, nugget, patience, target_c
         if _has_converged(cur_cond, prev_cond, target_cond_num, epoch, min_impr, patience):
             break
         prev_cond = cur_cond
-
+
+    # Condition number to numpy
+    model.interpolation_options.kernel_options.condition_number = model.interpolation_options.kernel_options.condition_number.detach().numpy()
     return nugget
 
 

test/test_private/test_terranigma/test_nuggets/test_nugget_effect_optimization.py

@@ -61,8 +61,10 @@ def test_optimize_nugget_effect():
         engine_config=gp.data.GemPyEngineConfig(
             backend=gp.data.AvailableBackends.PYTORCH,
         ),
-        validate_serialization=False
+        validate_serialization=True
     )
+
+    # TODO: Save model
 
     print(f"Final cond number: {geo_model.interpolation_options.kernel_options.condition_number}")
     nugget_effect = geo_model.taped_interpolation_input.surface_points.nugget_effect_scalar.detach().numpy()