ruff pytest_ruff.RuffError: flair/data.py:42:15: PYI024 Use `typing.NamedTuple` instead of `collections.namedtuple` | 42 | BoundingBox = namedtuple("BoundingBox", ["left", "top", "right", "bottom"]) | ^^^^^^^^^^ PYI024 | = help: Replace with `typing.NamedTuple` flair/data.py:730:14: E721 Do not compare types, use `isinstance()` | 728 | tokenizer = use_tokenizer 729 | 730 | elif type(use_tokenizer) == bool: | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ E721 731 | tokenizer = SegtokTokenizer() if use_tokenizer else SpaceTokenizer() | flair/data.py:812:12: E721 Do not compare types, use `isinstance()` | 810 | assert token.sentence is None 811 | 812 | if type(token) is str: | ^^^^^^^^^^^^^^^^^^ E721 813 | token = Token(token) 814 | token = cast(Token, token) |

ruff pytest_ruff.RuffError: flair/tokenization.py:259:17: UP032 [*] Use f-string instead of `format` call | 257 | r"(?<=[0-9])[+\-\*^](?=[0-9-])", 258 | rf"(?<=[{char_classes.ALPHA_LOWER}])\.(?=[{char_classes.ALPHA_UPPER}])", 259 | r"(?<=[{a}]),(?=[{a}])".format(a=char_classes.ALPHA), | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ UP032 260 | r'(?<=[{a}])[?";:=,.]*(?:{h})(?=[{a}])'.format(a=char_classes.ALPHA, h=char_classes.HYPHENS), 261 | r"(?<=[{a}0-9])[:<>=/](?=[{a}])".format(a=char_classes.ALPHA), | = help: Convert to f-string flair/tokenization.py:260:17: UP032 [*] Use f-string instead of `format` call | 258 | rf"(?<=[{char_classes.ALPHA_LOWER}])\.(?=[{char_classes.ALPHA_UPPER}])", 259 | r"(?<=[{a}]),(?=[{a}])".format(a=char_classes.ALPHA), 260 | r'(?<=[{a}])[?";:=,.]*(?:{h})(?=[{a}])'.format(a=char_classes.ALPHA, h=char_classes.HYPHENS), | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ UP032 261 | r"(?<=[{a}0-9])[:<>=/](?=[{a}])".format(a=char_classes.ALPHA), 262 | ] | = help: Convert to f-string flair/tokenization.py:261:17: UP032 [*] Use f-string instead of `format` call | 259 | r"(?<=[{a}]),(?=[{a}])".format(a=char_classes.ALPHA), 260 | r'(?<=[{a}])[?";:=,.]*(?:{h})(?=[{a}])'.format(a=char_classes.ALPHA, h=char_classes.HYPHENS), 261 | r"(?<=[{a}0-9])[:<>=/](?=[{a}])".format(a=char_classes.ALPHA), | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ UP032 262 | ] 263 | ) | = help: Convert to f-string

ruff pytest_ruff.RuffError: flair/training_utils.py:74:20: UP032 [*] Use f-string instead of `format` call | 72 | def tsv_header(prefix=None): 73 | if prefix: 74 | return "{0}_MEAN_SQUARED_ERROR\t{0}_MEAN_ABSOLUTE_ERROR\t{0}_PEARSON\t{0}_SPEARMAN".format(prefix) | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ UP032 75 | 76 | return "MEAN_SQUARED_ERROR\tMEAN_ABSOLUTE_ERROR\tPEARSON\tSPEARMAN" | = help: Convert to f-string flair/training_utils.py:102:12: E721 Do not compare types, use `isinstance()` | 100 | class WeightExtractor: 101 | def __init__(self, directory: Union[str, Path], number_of_weights: int = 10) -> None: 102 | if type(directory) is str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 103 | directory = Path(directory) 104 | self.weights_file = init_output_file(directory, "weights.txt") |

ruff pytest_ruff.RuffError: flair/datasets/base.py:232:8: E721 Do not compare types, use `isinstance()` | 231 | def find_train_dev_test_files(data_folder, dev_file, test_file, train_file, autofind_splits=True): 232 | if type(data_folder) == str: | ^^^^^^^^^^^^^^^^^^^^^^^^ E721 233 | data_folder: Path = Path(data_folder) |

ruff pytest_ruff.RuffError: flair/datasets/sequence_labeling.py:2976:12: E721 Do not compare types, use `isinstance()` | 2975 | # if only one language is given 2976 | if type(languages) == str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 2977 | languages = [languages] | flair/datasets/sequence_labeling.py:3249:12: E721 Do not compare types, use `isinstance()` | 3247 | Specify that the dataset should be loaded in memory, which speeds up the training process but takes increases the RAM usage significantly. 3248 | """ 3249 | if type(languages) == str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 3250 | languages = [languages] | flair/datasets/sequence_labeling.py:3710:12: E721 Do not compare types, use `isinstance()` | 3709 | # if only one language is given 3710 | if type(languages) == str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 3711 | languages = [languages] | flair/datasets/sequence_labeling.py:3802:12: E721 Do not compare types, use `isinstance()` | 3801 | # if only one language is given 3802 | if type(languages) == str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 3803 | languages = [languages] | flair/datasets/sequence_labeling.py:4748:12: E721 Do not compare types, use `isinstance()` | 4746 | supported_domains = ["WN", "FIC", "ADG"] 4747 | 4748 | if type(domains) == str and domains == "all": | ^^^^^^^^^^^^^^^^^^^^ E721 4749 | domains = supported_domains | flair/datasets/sequence_labeling.py:4751:12: E721 Do not compare types, use `isinstance()` | 4749 | domains = supported_domains 4750 | 4751 | if type(domains) == str: | ^^^^^^^^^^^^^^^^^^^^ E721 4752 | domains = [domains] |

ruff pytest_ruff.RuffError: flair/models/tars_model.py:198:16: E721 Do not compare types, use `isinstance()` | 196 | if isinstance(label_dictionary, Dictionary): 197 | label_dictionary = label_dictionary.get_items() 198 | if type(label_dictionary) == str: | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E721 199 | label_dictionary = [label_dictionary] |

ruff pytest_ruff.RuffError: flair/trainers/language_model_trainer.py:59:12: E721 Do not compare types, use `isinstance()` | 57 | def __getitem__(self, index=0) -> torch.Tensor: 58 | """Tokenizes a text file on character basis.""" 59 | if type(self.files[index]) is str: | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E721 60 | self.files[index] = Path(self.files[index]) 61 | assert self.files[index].exists() | flair/trainers/language_model_trainer.py:447:12: E721 Do not compare types, use `isinstance()` | 445 | optimizer: Type[Optimizer] = SGD, 446 | ): 447 | if type(checkpoint_file) is str: | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E721 448 | checkpoint_file = Path(checkpoint_file) |

ruff pytest_ruff.RuffError: flair/trainers/trainer.py:142:31: PYI041 Use `float` instead of `int | float` | 140 | main_evaluation_metric: Tuple[str, str] = ("micro avg", "f1-score"), 141 | monitor_test: bool = False, 142 | monitor_train_sample: Union[float, int] = 0.0, | ^^^^^^^^^^^^^^^^^ PYI041 143 | use_final_model_for_eval: bool = False, 144 | gold_label_dictionary_for_eval: Optional[Dictionary] = None, | flair/trainers/trainer.py:214:31: PYI041 Use `float` instead of `int | float` | 212 | main_evaluation_metric: Tuple[str, str] = ("micro avg", "f1-score"), 213 | monitor_test: bool = False, 214 | monitor_train_sample: Union[float, int] = 0.0, | ^^^^^^^^^^^^^^^^^ PYI041 215 | use_final_model_for_eval: bool = True, 216 | gold_label_dictionary_for_eval: Optional[Dictionary] = None, | flair/trainers/trainer.py:305:31: PYI041 Use `float` instead of `int | float` | 303 | main_evaluation_metric: Tuple[str, str] = ("micro avg", "f1-score"), 304 | monitor_test: bool = False, 305 | monitor_train_sample: Union[float, int] = 0.0, | ^^^^^^^^^^^^^^^^^ PYI041 306 | use_final_model_for_eval: bool = False, 307 | gold_label_dictionary_for_eval: Optional[Dictionary] = None, |

ruff pytest_ruff.RuffError: flair/visual/training_curves.py:70:12: E721 Do not compare types, use `isinstance()` | 68 | @staticmethod 69 | def _extract_weight_data(file_name: Union[str, Path]) -> dict: 70 | if type(file_name) is str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 71 | file_name = Path(file_name) | flair/visual/training_curves.py:89:12: E721 Do not compare types, use `isinstance()` | 87 | @staticmethod 88 | def _extract_learning_rate(file_name: Union[str, Path]): 89 | if type(file_name) is str: | ^^^^^^^^^^^^^^^^^^^^^^ E721 90 | file_name = Path(file_name) |