






"""simple docstring"""



import argparse
from collections import defaultdict

import yaml


_UpperCamelCase		:  str						=		'docs/source/en/_toctree.yml'
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  List[Any]    ):





  '''simple docstring'''





  lowercase							    =       defaultdict(__snake_case    )
  lowercase							    =       []
  lowercase							    =       []
  for doc in doc_list:
    if "local" in doc:
      counts[doc["local"]] += 1

    if doc["title"].lower() == "overview":
      overview_doc.append({'local': doc['local'], 'title': doc['title']}    )
    else:
      new_doc_list.append(__snake_case    )

  lowercase							    =       new_doc_list
  lowercase							    =       [key for key, value in counts.items() if value > 1]

  lowercase							    =       []
  for duplicate_key in duplicates:
    lowercase							    =       list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}    )
    if len(__snake_case    ) > 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 doc_list if 'local' not in counts or counts[doc['local']] == 1]    )
  lowercase							    =       sorted(__snake_case		,					key=lambda __snake_case    : s["title"].lower()    )

  # "overview" gets special treatment and is always first
  if len(__snake_case    ) > 1:
    raise ValueError('{doc_list} has two \'overview\' docs which is not allowed.'    )

  overview_doc.extend(__snake_case    )

  # Sort
  return overview_doc
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  Optional[int]=False    ):





  '''simple docstring'''





  with open(__snake_case		,					encoding='utf-8'    ) as f:
    lowercase							    =       yaml.safe_load(f.read()    )

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

  # Then to the model doc
  lowercase							    =       0
  while api_doc[scheduler_idx]["title"] != "Schedulers":
    scheduler_idx += 1

  lowercase							    =       api_doc[scheduler_idx]['sections']
  lowercase							    =       clean_doc_toc(__snake_case    )

  lowercase							    =       False
  if new_scheduler_doc != scheduler_doc:
    lowercase							    =       True
    if overwrite:
      lowercase							    =       new_scheduler_doc

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





  '''simple docstring'''





  with open(__snake_case		,					encoding='utf-8'    ) as f:
    lowercase							    =       yaml.safe_load(f.read()    )

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

  # Then to the model doc
  lowercase							    =       0
  while api_doc[pipeline_idx]["title"] != "Pipelines":
    pipeline_idx += 1

  lowercase							    =       False
  lowercase							    =       api_doc[pipeline_idx]['sections']
  lowercase							    =       []

  # sort sub pipeline docs
  for pipeline_doc in pipeline_docs:
    if "section" in pipeline_doc:
      lowercase							    =       pipeline_doc['section']
      lowercase							    =       clean_doc_toc(__snake_case    )
      if overwrite:
        lowercase							    =       new_sub_pipeline_doc
    new_pipeline_docs.append(__snake_case    )

  # sort overall pipeline doc
  lowercase							    =       clean_doc_toc(__snake_case    )

  if new_pipeline_docs != pipeline_docs:
    lowercase							    =       True
    if overwrite:
      lowercase							    =       new_pipeline_docs

  if diff:
    if overwrite:
      lowercase							    =       api_doc
      with open(__snake_case		,					'w'		,					encoding='utf-8'    ) as f:
        f.write(yaml.dump(__snake_case		,					allow_unicode=__snake_case    )    )
    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__":
    _UpperCamelCase		:  Optional[Any]						=		argparse.ArgumentParser()
    parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
    _UpperCamelCase		:  Any						=		parser.parse_args()

    check_scheduler_doc(args.fix_and_overwrite)
    check_pipeline_doc(args.fix_and_overwrite)










"""simple docstring"""



import argparse
import json

from tqdm import tqdm
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       argparse.ArgumentParser()

  # Required parameters
  parser.add_argument(
      '--src_path'		,					type=__snake_case		,					default='biencoder-nq-dev.json'		,					help='Path to raw DPR training data'		,					)
  parser.add_argument(
      '--evaluation_set'		,					type=__snake_case		,					help='where to store parsed evaluation_set file'		,					)
  parser.add_argument(
      '--gold_data_path'		,					type=__snake_case		,					help='where to store parsed gold_data_path file'		,					)
  lowercase							    =       parser.parse_args()

  with open(args.src_path		,					'r'    ) as src_file, open(args.evaluation_set		,					'w'    ) as eval_file, open(
      args.gold_data_path		,					'w'    ) as gold_file:
    lowercase							    =       json.load(__snake_case    )
    for dpr_record in tqdm(__snake_case    ):
      lowercase							    =       dpr_record['question']
      lowercase							    =       [context['title'] for context in dpr_record['positive_ctxs']]
      eval_file.write(question + '\n'    )
      gold_file.write('\t'.join(__snake_case    ) + '\n'    )


if __name__ == "__main__":
    main()


