ruff pytest_ruff.RuffError: flair/datasets/__init__.py:2:1: I001 [*] Import block is un-sorted or un-formatted | 1 | # Expose base classses 2 | / from .base import ( 3 | | DataLoader, 4 | | FlairDatapointDataset, 5 | | MongoDataset, 6 | | SentenceDataset, 7 | | StringDataset, 8 | | ) 9 | | 10 | | # Expose all biomedical data sets used for the evaluation of BioBERT 11 | | # - 12 | | # - 13 | | # - 14 | | # - 15 | | # Expose all biomedical data sets using the HUNER splits 16 | | # Expose all biomedical data sets 17 | | from .biomedical import ( 18 | | ANAT_EM, 19 | | AZDZ, 20 | | BC2GM, 21 | | BIO_INFER, 22 | | BIOBERT_CHEMICAL_BC4CHEMD, 23 | | BIOBERT_CHEMICAL_BC5CDR, 24 | | BIOBERT_DISEASE_BC5CDR, 25 | | BIOBERT_DISEASE_NCBI, 26 | | BIOBERT_GENE_BC2GM, 27 | | BIOBERT_GENE_JNLPBA, 28 | | BIOBERT_SPECIES_LINNAEUS, 29 | | BIOBERT_SPECIES_S800, 30 | | BIONLP2013_CG, 31 | | BIONLP2013_PC, 32 | | BIOSEMANTICS, 33 | | CDR, 34 | | CELL_FINDER, 35 | | CEMP, 36 | | CHEMDNER, 37 | | CLL, 38 | | CRAFT, 39 | | CRAFT_V4, 40 | | DECA, 41 | | FSU, 42 | | GELLUS, 43 | | GPRO, 44 | | HUNER_CELL_LINE, 45 | | HUNER_CELL_LINE_CELL_FINDER, 46 | | HUNER_CELL_LINE_CLL, 47 | | HUNER_CELL_LINE_GELLUS, 48 | | HUNER_CELL_LINE_JNLPBA, 49 | | HUNER_CHEMICAL, 50 | | HUNER_CHEMICAL_CDR, 51 | | HUNER_CHEMICAL_CEMP, 52 | | HUNER_CHEMICAL_CHEBI, 53 | | HUNER_CHEMICAL_CHEMDNER, 54 | | HUNER_CHEMICAL_CRAFT_V4, 55 | | HUNER_CHEMICAL_SCAI, 56 | | HUNER_DISEASE, 57 | | HUNER_DISEASE_CDR, 58 | | HUNER_DISEASE_MIRNA, 59 | | HUNER_DISEASE_NCBI, 60 | | HUNER_DISEASE_PDR, 61 | | HUNER_DISEASE_SCAI, 62 | | HUNER_DISEASE_VARIOME, 63 | | HUNER_GENE, 64 | | HUNER_GENE_BC2GM, 65 | | HUNER_GENE_BIO_INFER, 66 | | HUNER_GENE_CELL_FINDER, 67 | | HUNER_GENE_CHEBI, 68 | | HUNER_GENE_CRAFT_V4, 69 | | HUNER_GENE_DECA, 70 | | HUNER_GENE_FSU, 71 | | HUNER_GENE_GPRO, 72 | | HUNER_GENE_IEPA, 73 | | HUNER_GENE_JNLPBA, 74 | | HUNER_GENE_LOCTEXT, 75 | | HUNER_GENE_MIRNA, 76 | | HUNER_GENE_OSIRIS, 77 | | HUNER_GENE_VARIOME, 78 | | HUNER_SPECIES, 79 | | HUNER_SPECIES_CELL_FINDER, 80 | | HUNER_SPECIES_CHEBI, 81 | | HUNER_SPECIES_CRAFT_V4, 82 | | HUNER_SPECIES_LINNEAUS, 83 | | HUNER_SPECIES_LOCTEXT, 84 | | HUNER_SPECIES_MIRNA, 85 | | HUNER_SPECIES_S800, 86 | | HUNER_SPECIES_VARIOME, 87 | | IEPA, 88 | | JNLPBA, 89 | | LINNEAUS, 90 | | LOCTEXT, 91 | | MIRNA, 92 | | NCBI_DISEASE, 93 | | OSIRIS, 94 | | PDR, 95 | | S800, 96 | | SCAI_CHEMICALS, 97 | | SCAI_DISEASE, 98 | | VARIOME, 99 | | ) 100 | | 101 | | # Expose all document classification datasets 102 | | from .document_classification import ( 103 | | AGNEWS, 104 | | AMAZON_REVIEWS, 105 | | COMMUNICATIVE_FUNCTIONS, 106 | | GERMEVAL_2018_OFFENSIVE_LANGUAGE, 107 | | GLUE_COLA, 108 | | GLUE_SST2, 109 | | GO_EMOTIONS, 110 | | IMDB, 111 | | NEWSGROUPS, 112 | | SENTEVAL_CR, 113 | | SENTEVAL_MPQA, 114 | | SENTEVAL_MR, 115 | | SENTEVAL_SST_BINARY, 116 | | SENTEVAL_SST_GRANULAR, 117 | | SENTEVAL_SUBJ, 118 | | SENTIMENT_140, 119 | | STACKOVERFLOW, 120 | | TREC_6, 121 | | TREC_50, 122 | | WASSA_ANGER, 123 | | WASSA_FEAR, 124 | | WASSA_JOY, 125 | | WASSA_SADNESS, 126 | | YAHOO_ANSWERS, 127 | | ClassificationCorpus, 128 | | ClassificationDataset, 129 | | CSVClassificationCorpus, 130 | | CSVClassificationDataset, 131 | | ) 132 | | 133 | | # word sense disambiguation 134 | | # Expose all entity linking datasets 135 | | from .entity_linking import ( 136 | | CTD_CHEMICALS_DICTIONARY, 137 | | CTD_DISEASES_DICTIONARY, 138 | | NCBI_GENE_HUMAN_DICTIONARY, 139 | | NCBI_TAXONOMY_DICTIO

ruff pytest_ruff.RuffError: flair/datasets/sequence_labeling.py:1:1: I001 [*] Import block is un-sorted or un-formatted | 1 | / import copy 2 | | import json 3 | | import logging 4 | | import os 5 | | import re 6 | | 7 | | # import shutil 8 | | from collections import defaultdict 9 | | from pathlib import Path 10 | | import tempfile 11 | | import shutil 12 | | import requests 13 | | import zipfile 14 | | from typing import ( 15 | | Any, 16 | | DefaultDict, 17 | | Dict, 18 | | Iterable, 19 | | Iterator, 20 | | List, 21 | | Optional, 22 | | Tuple, 23 | | Union, 24 | | cast, 25 | | ) 26 | | 27 | | from torch.utils.data import ConcatDataset, Dataset 28 | | 29 | | import flair 30 | | from flair.data import ( 31 | | Corpus, 32 | | FlairDataset, 33 | | MultiCorpus, 34 | | Relation, 35 | | Sentence, 36 | | Token, 37 | | get_spans_from_bio, 38 | | ) 39 | | from flair.datasets.base import find_train_dev_test_files 40 | | from flair.file_utils import cached_path, unpack_file 41 | | from flair.tokenization import Tokenizer 42 | | 43 | | log = logging.getLogger("flair") | |_^ I001 | = help: Organize imports flair/datasets/sequence_labeling.py:1515:13: D415 First line should end with a period, question mark, or exclamation point | 1514 | def parse_line_range(line_range_str): 1515 | """Utility function to parse a line range string like '17703,17705' or '5727' and returns a tuple (start, end)""" | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ D415 1516 | parts = line_range_str.split(",") 1517 | if len(parts) == 1: | = help: Add closing punctuation flair/datasets/sequence_labeling.py:1526:13: D200 One-line docstring should fit on one line | 1525 | def apply_patch_to_file(original_file, changes, output_file_path): 1526 | """ | _____________^ 1527 | | Applies the patch instructions to the content of the original file. 1528 | | """ | |_______________^ D200 1529 | with open(original_file, encoding="utf-8") as f: 1530 | original_lines = f.readlines() | = help: Reformat to one line flair/datasets/sequence_labeling.py:1526:13: D212 [*] Multi-line docstring summary should start at the first line | 1525 | def apply_patch_to_file(original_file, changes, output_file_path): 1526 | """ | _____________^ 1527 | | Applies the patch instructions to the content of the original file. 1528 | | """ | |_______________^ D212 1529 | with open(original_file, encoding="utf-8") as f: 1530 | original_lines = f.readlines() | = help: Remove whitespace after opening quotes

Process completed with exit code 1.