[FIX] Pylint

tests/test_scaler_layers.py

@@ -135,33 +135,34 @@ def test_minmaxscaler_with_multiple_features_and_samples(input_shape):
     pred = model(data)
     # Check if model is identity
     assert np.allclose(pred, data, rtol=1e-3)
-    # Check if all features have their own min and max. Data is shape (Ndata, Nfeatures) and min is shape (1, Nfeatures)
+    # Check if all features have their own min and max.
+    # Data is shape (Ndata, Nfeatures) and min is shape (1, Nfeatures)
     assert scalerlayer.data_min.shape[1] == input_shape[1]
     assert scalerlayer.data_max.shape[1] == input_shape[1]
 
 
 @pytest.mark.parametrize(
-    "feature_ranges",
+    "feature_range",
     [[(0.0, 1.0), (2.0, 3.0), (4.0, 5.0)], [(-1.0, 0.0), (-2.0, 0)], [(0.0, 1.0)]],
 )
-def test_minmaxscaler_with_multiple_features_ranges(feature_ranges):
-    data = [rng.uniform(-500, 500, (10, len(feature_ranges)))]
+def test_minmaxscaler_with_multiple_features_ranges(feature_range):
+    data = [rng.uniform(-500, 500, (10, len(feature_range)))]
 
-    scalerlayer = MinMaxScalerLayer(feature_range=feature_ranges)
-    unscalerlayer = MinMaxUnScalerLayer(feature_range=feature_ranges)
+    scalerlayer = MinMaxScalerLayer(feature_range=feature_range)
+    unscalerlayer = MinMaxUnScalerLayer(feature_range=feature_range)
 
     scalerlayer.adapt(data)
     unscalerlayer.adapt(data)
 
     model = keras.Sequential(
-        [keras.layers.Input([len(feature_ranges)]), scalerlayer, unscalerlayer]
+        [keras.layers.Input([len(feature_range)]), scalerlayer, unscalerlayer]
     )
 
     pred = model(data)
     # Check if model is identity
     assert np.allclose(pred, data, rtol=1e-3)
 
     # Check that feature_ranges have correct shape
-    assert len(scalerlayer.feature_range) == len(feature_ranges)
-    for fr1, fr2 in zip(scalerlayer.feature_range, feature_ranges):
+    assert len(scalerlayer.feature_range) == len(feature_range)
+    for fr1, fr2 in zip(scalerlayer.feature_range, feature_range):
         assert fr1[0] == fr2[0] and fr1[1] == fr2[1]