






"""simple docstring"""



import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


_UpperCamelCase		:  Union[str, Any]						=		logging.getLogger()

@unittest.skip("Temporarily disable the doc tests."	)
@require_torch
@require_tf
@slow
class        a     (   unittest.TestCase	):







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None							,		_lowerCamelCase = None							,		_lowerCamelCase = None							,		_lowerCamelCase = True							,		):
      lowercase							    =       [file for file in os.listdir(_lowerCamelCase       ) if os.path.isfile(os.path.join(_lowerCamelCase							,		_lowerCamelCase       )       )]

      if identifier is not None:
        lowercase							    =       [file for file in files if identifier in file]

      if n_identifier is not None:
        if isinstance(_lowerCamelCase							,		_lowerCamelCase       ):
          for n_ in n_identifier:
            lowercase							    =       [file for file in files if n_ not in file]
        else:
          lowercase							    =       [file for file in files if n_identifier not in file]

      lowercase							    =       ignore_files or []
      ignore_files.append('__init__.py'       )
      lowercase							    =       [file for file in files if file not in ignore_files]

      for file in files:
        # Open all files
        print('Testing'							,		_lowerCamelCase       )

        if only_modules:
          lowercase							    =       file.split('.'       )[0]
          try:
            lowercase							    =       getattr(_lowerCamelCase							,		_lowerCamelCase       )
            lowercase							    =       doctest.DocTestSuite(_lowerCamelCase       )
            lowercase							    =       unittest.TextTestRunner().run(_lowerCamelCase       )
            self.assertIs(len(result.failures       )							,		0       )
          except AttributeError:
            logger.info(F'{module_identifier} is not a module.'       )
        else:
          lowercase							    =       doctest.testfile(str('..' / directory / file       )							,		optionflags=doctest.ELLIPSIS       )
          self.assertIs(result.failed							,		0       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       Path('src/transformers'       )
      lowercase							    =       'modeling'
      lowercase							    =       [
          'modeling_ctrl.py',
          'modeling_tf_ctrl.py',
      ]
      self.analyze_directory(_lowerCamelCase							,		identifier=_lowerCamelCase							,		ignore_files=_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       Path('src/transformers'       )
      lowercase							    =       'tokenization'
      self.analyze_directory(_lowerCamelCase							,		identifier=_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       Path('src/transformers'       )
      lowercase							    =       'configuration'
      self.analyze_directory(_lowerCamelCase							,		identifier=_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       Path('src/transformers'       )
      lowercase							    =       ['configuration', 'modeling', 'tokenization']
      self.analyze_directory(_lowerCamelCase							,		n_identifier=_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       Path('docs/source'       )
      lowercase							    =       ['favicon.ico']
      self.analyze_directory(_lowerCamelCase							,		ignore_files=_lowerCamelCase							,		only_modules=_lowerCamelCase       )










"""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()


