lint

Author: Samoed

autointent/_pipeline/_pipeline.py

@@ -135,7 +135,8 @@ def fit(self, dataset: Dataset, force_multilabel: bool = False) -> Context:
         predictions = self.predict(context.data_handler.test_utterances())
         for metric_name, metric in PREDICTION_METRICS_MULTILABEL.items():
             context.optimization_info.pipeline_metrics[metric_name] = metric(
-                context.data_handler.test_labels(), predictions,
+                context.data_handler.test_labels(),
+                predictions,
             )
 
         return context

autointent/metrics/scoring.py

@@ -247,7 +247,7 @@ def scoring_neg_coverage(labels: LABELS_VALUE_TYPE, scores: SCORES_VALUE_TYPE) -
 
 def scoring_neg_ranking_loss(labels: LABELS_VALUE_TYPE, scores: SCORES_VALUE_TYPE) -> float:
     """
-    supports multilabel.
+    Supports multilabel.
 
     Compute the average number of label pairs that are incorrectly ordered given y_score
     weighted by the size of the label set and the number of labels not in the label set.

tests/context/datahandler/test_data_handler.py

@@ -129,7 +129,7 @@ def test_sample_validation(label):
             "validation_1": mock_split(),
             "test": mock_split(),
         },
-    ]
+    ],
 )
 def test_dataset_initialization(mapping):
     dataset = Dataset.from_dict(mapping)
@@ -151,8 +151,8 @@ def test_dataset_initialization(mapping):
         {"train": mock_split(), "validation": mock_split(), "validation_0": mock_split()},
         {"train": mock_split(), "validation": mock_split(), "validation_1": mock_split()},
         {"train": mock_split(), "validation": mock_split(), "validation_0": mock_split(), "validation_1": mock_split()},
-        {"train": mock_split(), "oos": mock_split()}
-    ]
+        {"train": mock_split(), "oos": mock_split()},
+    ],
 )
 def test_dataset_validation(mapping):
     with pytest.raises(ValueError):
@@ -169,7 +169,7 @@ def test_dataset_validation(mapping):
             "test": [{"utterance": "Hello!", "label": 0}],
         },
         {"train": [{"utterance": "Hello!"}]},
-    ]
+    ],
 )
 def test_intents_validation(mapping):
     with pytest.raises(ValueError):