
import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


lowerCamelCase_						     =					logging.getLogger(__name__)




class      __A(    lowerCamelCase__			):

		"""simple docstring"""







		def __init__(self	,      SCREAMING_SNAKE_CASE_=-1						):
							# in NER datasets, the last column is usually reserved for NER label
							UpperCamelCase__				=    label_idx







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_						):
							if isinstance(lowercase__	,      lowercase__						):
												UpperCamelCase__				=    mode.value
							UpperCamelCase__				=    os.path.join(lowercase__	,      F"{mode}.txt"						)
							UpperCamelCase__				=    1
							UpperCamelCase__				=    []
							with open(lowercase__	,      encoding="""utf-8"""						) as f:
												UpperCamelCase__				=    []
												UpperCamelCase__				=    []
												for line in f:
																	if line.startswith("""-DOCSTART-"""						) or line == "" or line == "\n":
																						if words:
																											examples.append(InputExample(guid=F"{mode}-{guid_index}"	,      words=lowercase__	,      labels=lowercase__						)						)
																											guid_index += 1
																											UpperCamelCase__				=    []
																											UpperCamelCase__				=    []
																	else:
																						UpperCamelCase__				=    line.split(""" """						)
																						words.append(splits[0]						)
																						if len(lowercase__						) > 1:
																											labels.append(splits[self.label_idx].replace("""\n"""	,      """"""						)						)
																						else:
																											# Examples could have no label for mode = "test"
																											labels.append("""O"""						)
												if words:
																	examples.append(InputExample(guid=F"{mode}-{guid_index}"	,      words=lowercase__	,      labels=lowercase__						)						)
							return examples







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_						):
							UpperCamelCase__				=    0
							for line in test_input_reader:
												if line.startswith("""-DOCSTART-"""						) or line == "" or line == "\n":
																	writer.write(lowercase__						)
																	if not preds_list[example_id]:
																						example_id += 1
												elif preds_list[example_id]:
																	UpperCamelCase__				=    line.split()[0] + """ """ + preds_list[example_id].pop(0						) + """\n"""
																	writer.write(lowercase__						)
												else:
																	logger.warning("""Maximum sequence length exceeded: No prediction for \'%s\'."""	,      line.split()[0]						)







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
							if path:
												with open(lowercase__	,      """r"""						) as f:
																	UpperCamelCase__				=    f.read().splitlines()
												if "O" not in labels:
																	UpperCamelCase__				=    ["""O"""] + labels
												return labels
							else:
												return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]






class      __A(    lowerCamelCase__			):

		"""simple docstring"""







		def __init__(self						):
							# in CONLL2003 dataset chunk column is second-to-last
							super().__init__(label_idx=-2						)







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
							if path:
												with open(lowercase__	,      """r"""						) as f:
																	UpperCamelCase__				=    f.read().splitlines()
												if "O" not in labels:
																	UpperCamelCase__				=    ["""O"""] + labels
												return labels
							else:
												return [
												    "O",
												    "B-ADVP",
												    "B-INTJ",
												    "B-LST",
												    "B-PRT",
												    "B-NP",
												    "B-SBAR",
												    "B-VP",
												    "B-ADJP",
												    "B-CONJP",
												    "B-PP",
												    "I-ADVP",
												    "I-INTJ",
												    "I-LST",
												    "I-PRT",
												    "I-NP",
												    "I-SBAR",
												    "I-VP",
												    "I-ADJP",
												    "I-CONJP",
												    "I-PP",
												]






class      __A(    lowerCamelCase__			):

		"""simple docstring"""







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_						):
							if isinstance(lowercase__	,      lowercase__						):
												UpperCamelCase__				=    mode.value
							UpperCamelCase__				=    os.path.join(lowercase__	,      F"{mode}.txt"						)
							UpperCamelCase__				=    1
							UpperCamelCase__				=    []

							with open(lowercase__	,      encoding="""utf-8"""						) as f:
												for sentence in parse_incr(lowercase__						):
																	UpperCamelCase__				=    []
																	UpperCamelCase__				=    []
																	for token in sentence:
																						words.append(token["""form"""]						)
																						labels.append(token["""upos"""]						)
																	assert len(lowercase__						) == len(lowercase__						)
																	if words:
																						examples.append(InputExample(guid=F"{mode}-{guid_index}"	,      words=lowercase__	,      labels=lowercase__						)						)
																						guid_index += 1
							return examples







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_						):
							UpperCamelCase__				=    0
							for sentence in parse_incr(lowercase__						):
												UpperCamelCase__				=    preds_list[example_id]
												UpperCamelCase__				=    """"""
												for token in sentence:
																	out += F"{token['form']} ({token['upos']}|{s_p.pop(0						)}) "
												out += "\n"
												writer.write(lowercase__						)
												example_id += 1







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_						):
							if path:
												with open(lowercase__	,      """r"""						) as f:
																	return f.read().splitlines()
							else:
												return [
												    "ADJ",
												    "ADP",
												    "ADV",
												    "AUX",
												    "CCONJ",
												    "DET",
												    "INTJ",
												    "NOUN",
												    "NUM",
												    "PART",
												    "PRON",
												    "PROPN",
												    "PUNCT",
												    "SCONJ",
												    "SYM",
												    "VERB",
												    "X",
												]







import argparse
from collections import defaultdict

import yaml


lowerCamelCase_						     =					'''docs/source/en/_toctree.yml'''






def 						__magic_name__			(   __a      :	Union[str, Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    defaultdict(__a						)
     for doc in model_doc:
          counts[doc["local"]] += 1
     UpperCamelCase__				=    [key for key, value in counts.items() if value > 1]

     UpperCamelCase__				=    []
     for duplicate_key in duplicates:
          UpperCamelCase__				=    list({doc["""title"""] for doc in model_doc if doc["""local"""] == duplicate_key}						)
          if len(__a						) > 1:
               raise ValueError(
                   f"{duplicate_key} is present several times in the documentation table of content at "
                   """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
                   """others."""						)
          # Only add this once
          new_doc.append({"""local""": duplicate_key, """title""": titles[0]}						)

     # Add none duplicate-keys
     new_doc.extend([doc for doc in model_doc if counts[doc["""local"""]] == 1]						)

     # Sort
     return sorted(__a	,		key=lambda __a						: s["title"].lower()						)






def 						__magic_name__			(   __a      :	int=False						):



     '''simple docstring'''




     with open(__a	,		encoding="""utf-8"""						) as f:
          UpperCamelCase__				=    yaml.safe_load(f.read()						)

     # Get to the API doc
     UpperCamelCase__				=    0
     while content[api_idx]["title"] != "API":
          api_idx += 1
     UpperCamelCase__				=    content[api_idx]["""sections"""]

     # Then to the model doc
     UpperCamelCase__				=    0
     while api_doc[model_idx]["title"] != "Models":
          model_idx += 1

     UpperCamelCase__				=    api_doc[model_idx]["""sections"""]

     UpperCamelCase__				=    [(idx, section) for idx, section in enumerate(__a						) if """sections""" in section]
     UpperCamelCase__				=    False
     for idx, modality_doc in modalities_docs:
          UpperCamelCase__				=    modality_doc["""sections"""]
          UpperCamelCase__				=    clean_model_doc_toc(__a						)

          if old_modality_doc != new_modality_doc:
               UpperCamelCase__				=    True
               if overwrite:
                    UpperCamelCase__				=    new_modality_doc

     if diff:
          if overwrite:
               UpperCamelCase__				=    model_doc
               UpperCamelCase__				=    api_doc
               with open(__a	,		"""w"""	,		encoding="""utf-8"""						) as f:
                    f.write(yaml.dump(__a	,		allow_unicode=__a						)						)
          else:
               raise ValueError(
                   """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""						)


if __name__ == "__main__":
    lowerCamelCase_						     =					argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    lowerCamelCase_						     =					parser.parse_args()

    check_model_doc(args.fix_and_overwrite)





