simplify test data and optimize imports

test/config.py

@@ -0,0 +1,3 @@
+import os
+
+TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data", "test.csv")

test/unit_tests/summary/test__summary.py

@@ -1,5 +1,4 @@
 import logging
-import os
 import unittest
 
 import pandas as pd
@@ -9,8 +8,6 @@
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class SummaryTest(unittest.TestCase):
 

test/z_component_tests/test__classification.py

@@ -1,21 +1,19 @@
 import logging
-import os
 import unittest
 
 import numpy as np
 import pandas as pd
 from sklearn.neural_network import MLPClassifier
 
 import pandas_ml_utils as pdu
-from pandas_ml_utils.model.features_and_labels.target_encoder import OneHotEncodedTargets
 from pandas_ml_utils.constants import *
+from pandas_ml_utils.model.features_and_labels.target_encoder import OneHotEncodedTargets
+from test.config import TEST_FILE
 from test.utils import SMA
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class ClassificationTest(unittest.TestCase):
     maxDiff = None

test/z_component_tests/test__common.py

@@ -1,17 +1,16 @@
 import logging
-import os
 import unittest
 
 import pandas as pd
 
 import pandas_ml_utils as pdu
-from pandas_ml_utils.model.features_and_labels.features_and_labels_extractor import FeatureTargetLabelExtractor
 from pandas_ml_utils.analysis.correlation_analysis import _sort_correlation
+from pandas_ml_utils.model.features_and_labels.features_and_labels_extractor import FeatureTargetLabelExtractor
 from pandas_ml_utils.model.fitting.train_test_data import make_training_data
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
 
 
 class ComponentTest(unittest.TestCase):

test/z_component_tests/test__cross_fold.py

@@ -10,12 +10,11 @@
 import pandas_ml_utils as pdu
 from pandas_ml_utils.summary.binary_classification_summary import BinaryClassificationSummary
 from pandas_ml_utils.utils.functions import fig_to_png_base64
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class CrossFoldTest(unittest.TestCase):
 

test/z_component_tests/test__cross_validation.py

@@ -1,19 +1,16 @@
 import logging
-import os
 import unittest
 
-import numpy as np
 import pandas as pd
 from sklearn.model_selection import KFold
 from sklearn.neural_network import MLPClassifier
 
 import pandas_ml_utils as pdu
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class CrossValidationTest(unittest.TestCase):
 

test/z_component_tests/test__fnl_extractor.py

@@ -1,21 +1,16 @@
 import logging
-import os
 import unittest
 
-import numpy as np
 import pandas as pd
 from sklearn.neural_network import MLPClassifier
 
 import pandas_ml_utils as pdu
 from pandas_ml_utils.constants import *
-from pandas_ml_utils.summary.binary_classification_summary import BinaryClassificationSummary
-from pandas_ml_utils.utils.functions import fig_to_png_base64
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class FeatureAndLabelsExtractorTest(unittest.TestCase):
 

test/z_component_tests/test__hyper_parameter_tuning.py

@@ -1,18 +1,16 @@
 import logging
-import os
 import unittest
 
 import numpy as np
 import pandas as pd
 from sklearn.neural_network import MLPClassifier
 
 import pandas_ml_utils as pdu
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class HyportParameterOptimizationTest(unittest.TestCase):
 

test/z_component_tests/test__lazy_dataframe.py

@@ -1,15 +1,14 @@
 import logging
-import os
 import unittest
 
 import pandas as pd
 from sklearn.neural_network import MLPClassifier
 
 import pandas_ml_utils as pdu
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
 
 
 class LazyDataFrameTest(unittest.TestCase):

test/z_component_tests/test__multi_model.py

@@ -1,20 +1,19 @@
 import logging
-import os
 import unittest
 
 import numpy as np
 import pandas as pd
 from sklearn.neural_network import MLPClassifier
 
 import pandas_ml_utils as pdu
+from pandas_ml_utils.constants import *
 from pandas_ml_utils.model.features_and_labels.target_encoder import OneHotEncodedTargets
+from test.config import TEST_FILE
 from test.utils import SMA
-from pandas_ml_utils.constants import *
+
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class MultiModelTest(unittest.TestCase):
     maxDiff = None

test/z_component_tests/test__pre_processor.py

@@ -1,20 +1,16 @@
 import logging
-import os
 import unittest
 
-import numpy as np
 import pandas as pd
 from sklearn.neural_network import MLPClassifier
-from pandas_ml_utils.constants import *
+
 import pandas_ml_utils as pdu
-from pandas_ml_utils.summary.binary_classification_summary import BinaryClassificationSummary
-from pandas_ml_utils.utils.functions import fig_to_png_base64
+from pandas_ml_utils.constants import *
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class PreprocessorTest(unittest.TestCase):
 

test/z_component_tests/test__regression.py

@@ -1,18 +1,15 @@
 import logging
-import os
 import unittest
 
-import numpy as np
 import pandas as pd
-from sklearn.neural_network import MLPClassifier, MLPRegressor
+from sklearn.neural_network import MLPRegressor
 
 import pandas_ml_utils as pdu
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class RegressionTest(unittest.TestCase):
 

test/z_component_tests/test__summary.py

@@ -9,12 +9,11 @@
 import pandas_ml_utils as pdu
 from pandas_ml_utils.summary.binary_classification_summary import BinaryClassificationSummary
 from pandas_ml_utils.utils.functions import fig_to_png_base64
+from test.config import TEST_FILE
 
 logger = logging.getLogger()
 logger.setLevel(logging.DEBUG)
 
-TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "data", "test.csv")
-
 
 class ClassificationTest(unittest.TestCase):