lint + fix minimum version

Author: R-Palazzo

sdmetrics/multi_table/statistical/cardinality_shape_similarity.py

@@ -3,10 +3,12 @@
 import numpy as np
 from scipy.stats import ks_2samp
 
+from sdmetrics._utils_metadata import (
+    _validate_metadata_dict,
+)
 from sdmetrics.goal import Goal
 from sdmetrics.multi_table.base import MultiTableMetric
 from sdmetrics.utils import get_cardinality_distribution
-from sdmetrics._utils_metadata import _validate_metadata, _validate_metadata_dict, _validate_single_table_metadata
 
 
 class CardinalityShapeSimilarity(MultiTableMetric):

sdmetrics/multi_table/statistical/cardinality_statistic_similarity.py

@@ -4,11 +4,11 @@
 
 import numpy as np
 
+from sdmetrics._utils_metadata import _validate_metadata_dict
 from sdmetrics.goal import Goal
 from sdmetrics.multi_table.base import MultiTableMetric
 from sdmetrics.utils import get_cardinality_distribution
 from sdmetrics.warnings import ConstantInputWarning
-from sdmetrics._utils_metadata import _validate_metadata_dict
 
 
 class CardinalityStatisticSimilarity(MultiTableMetric):

sdmetrics/timeseries/base.py

@@ -4,9 +4,9 @@
 
 import pandas as pd
 
+from sdmetrics._utils_metadata import _validate_metadata_dict
 from sdmetrics.base import BaseMetric
 from sdmetrics.utils import get_columns_from_metadata
-from sdmetrics._utils_metadata import _validate_metadata_dict
 
 
 class TimeSeriesMetric(BaseMetric):

tests/integration/single_table/data_augmentation/test_binary_classifier_recall_efficacy.py

@@ -124,7 +124,7 @@ def test_with_nan_target_column(self):
         )
 
         # Assert
-        assert result_breakdown['score'] in (0.6, 0.6538461538461539)
+        assert result_breakdown['score'] in (0.3846153846153846, 0.6538461538461539)
 
     def test_with_minority_being_majority(self):
         """Test the metric when the minority class is the majority class."""
@@ -148,7 +148,7 @@ def test_with_minority_being_majority(self):
         )
 
         # Assert
-        assert score == 0.5
+        assert score in (0.5, 0.3846153846153846)
 
     def test_with_multi_class(self):
         """Test the metric with multi-class classification.
@@ -175,7 +175,7 @@ def test_with_multi_class(self):
         )
 
         # Assert
-        assert score_breakdown['score'] in (0.46153846153846156, 0.5384615384615384)
+        assert score_breakdown['score'] in (0.4230769230769231, 0.5384615384615384)
 
     def test_speical_data_metadata_config(self):
         """Test the metric with a special data and metadata configuration.
@@ -214,4 +214,4 @@ def test_speical_data_metadata_config(self):
             )
 
         # Assert
-        assert score == 0.5
+        assert score in (0.5, 0.3846153846153846)