mypy-status mypy exited with status 1.

ruff pytest_ruff.RuffError: flair/embeddings/base.py:171:17: UP032 Use f-string instead of `format` call | 169 | if len(tensors) != self.mixture_size: 170 | log.error( 171 | "{} tensors were passed, but the module was initialized to mix {} tensors.".format( | _________________^ 172 | | len(tensors), self.mixture_size 173 | | ) | |_________________^ UP032 174 | ) | = help: Convert to f-string

ruff pytest_ruff.RuffError: flair/models/__init__.py:1:1: I001 [*] Import block is un-sorted or un-formatted | 1 | / from .clustering import ClusteringModel 2 | | from .entity_linker_model import SpanClassifier 3 | | from .entity_mention_linking import EntityMentionLinker 4 | | from .language_model import LanguageModel 5 | | from .lemmatizer_model import Lemmatizer 6 | | from .multitask_model import MultitaskModel 7 | | from .pairwise_classification_model import TextPairClassifier 8 | | from .pairwise_regression_model import TextPairRegressor 9 | | from .regexp_tagger import RegexpTagger 10 | | from .relation_classifier_model import RelationClassifier 11 | | from .relation_extractor_model import RelationExtractor 12 | | from .sequence_tagger_model import SequenceTagger 13 | | from .prefixed_tagger import PrefixedSequenceTagger # This import has to be after SequenceTagger! 14 | | from .tars_model import FewshotClassifier, TARSClassifier, TARSTagger 15 | | from .text_classification_model import TextClassifier 16 | | from .text_regression_model import TextRegressor 17 | | from .word_tagger_model import TokenClassifier, WordTagger 18 | | 19 | | __all__ = [ | |_^ I001 20 | "EntityMentionLinker", 21 | "SpanClassifier", | = help: Organize imports

Black format check --- /home/runner/work/flair/flair/flair/models/__init__.py 2024-03-07 09:55:27.999642+00:00 +++ /home/runner/work/flair/flair/flair/models/__init__.py 2024-03-07 09:58:30.987504+00:00 @@ -8,11 +8,11 @@ from .pairwise_regression_model import TextPairRegressor from .regexp_tagger import RegexpTagger from .relation_classifier_model import RelationClassifier from .relation_extractor_model import RelationExtractor from .sequence_tagger_model import SequenceTagger -from .prefixed_tagger import PrefixedSequenceTagger # This import has to be after SequenceTagger! +from .prefixed_tagger import PrefixedSequenceTagger # This import has to be after SequenceTagger! from .tars_model import FewshotClassifier, TARSClassifier, TARSTagger from .text_classification_model import TextClassifier from .text_regression_model import TextRegressor from .word_tagger_model import TokenClassifier, WordTagger

flair/models/multitask_model.py 271: error: Incompatible types in assignment (expression has type "Path", variable has type "str") [assignment]

ruff pytest_ruff.RuffError: flair/models/pairwise_regression_model.py:321:41: UP032 Use f-string instead of `format` call | 319 | if out_path is not None: 320 | for pair, prediction, true_value in zip(batch, results, true_values): 321 | eval_line = "{}\t{}\t{}\t{}\n".format( | _________________________________________^ 322 | | pair.first.to_original_text(), pair.second.to_original_text(), true_value, prediction 323 | | ) | |_____________________________^ UP032 324 | out_file.write(eval_line) | = help: Convert to f-string

ruff pytest_ruff.RuffError: flair/training_utils.py:83:16: UP032 Use f-string instead of `format` call | 82 | def __str__(self) -> str: 83 | line = "mean squared error: {:.4f} - mean absolute error: {:.4f} - pearson: {:.4f} - spearman: {:.4f}".format( | ________________^ 84 | | self.mean_squared_error(), 85 | | self.mean_absolute_error(), 86 | | self.pearsonr(), 87 | | self.spearmanr(), 88 | | ) | |_________^ UP032 89 | return line | = help: Convert to f-string

Process completed with exit code 1.