Automated autopep8 fixes

aimclub · Dec 17, 2024 · 34c1657 · 34c1657
1 parent b1e003c
commit 34c1657
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Showing 4 changed files with 6 additions and 6 deletions.
diff --git a/fedot_ind/core/operation/transformation/data/point_cloud.py b/fedot_ind/core/operation/transformation/data/point_cloud.py
@@ -137,8 +137,8 @@ def point_cloud_to_persistent_cohomology_ripser(
         diagrams = [np.array([dg for dg in diag if np.isfinite(dg).all()])
                     for diag in diagrams]
         # diagrams = diagrams / max([np.array([dg for dg in diag if np.isfinite(
-            # dg).all()]).max() for diag in diagrams if diag.shape[0] > 0])
-        
+        # dg).all()]).max() for diag in diagrams if diag.shape[0] > 0])
+
         diagrams = [d / max([np.array([dg for dg in diag if np.isfinite(
             dg).all()]).max() for diag in diagrams if diag.shape[0] > 0]) for d in diagrams]
 

diff --git a/fedot_ind/core/operation/transformation/representation/statistical/quantile_extractor.py b/fedot_ind/core/operation/transformation/representation/statistical/quantile_extractor.py
@@ -71,7 +71,8 @@ def generate_features_from_ts(self,
                                   ts: np.array,
                                   window_length: int = None) -> InputData:
         ts = ts[None, :] if len(ts.shape) == 1 else ts  # sanity check for map method
-        statistical_representation = np.array(list(map(lambda channel: self.extract_stats_features(channel, axis=0), ts)))
+        statistical_representation = np.array(
+            list(map(lambda channel: self.extract_stats_features(channel, axis=0), ts)))
         return statistical_representation
 
     def generate_features_from_array(self, array: np.array) -> InputData:

diff --git a/fedot_ind/core/operation/transformation/representation/topological/topological_extractor.py b/fedot_ind/core/operation/transformation/representation/topological/topological_extractor.py
@@ -7,7 +7,6 @@
 import pandas as pd
 from fedot.core.data.data import InputData
 from fedot.core.operations.operation_parameters import OperationParameters
-from fedot.core.repository.dataset_types import DataTypesEnum
 from gtda.homology import VietorisRipsPersistence
 from gtda.time_series import takens_embedding_optimal_parameters
 from scipy import stats

diff --git a/tests/unit/core/operation/transformation/data/test_point_cloud.py b/tests/unit/core/operation/transformation/data/test_point_cloud.py
@@ -30,9 +30,9 @@ def test_TopologicalTransformation_time_series_rolling_betti_ripser(
         max_simplex_dim=1,
         epsilon=3,
         window_length=400)
-    
+
     betti_sum = topological_transformer.time_series_rolling_betti_ripser(basic_periodic_data)
-    
+
     assert len(betti_sum) != 0