


"""simple docstring"""


import argparse
import os

from accelerate.test_utils import execute_subprocess_async



def   snake_case						(				_a:     Optional[Any]=None							)->		Optional[Any]:
      '''simple docstring'''


      if subparsers is not None:
            lowerCamelCase__           =		subparsers.add_parser('test'							)
      else:
            lowerCamelCase__           =		argparse.ArgumentParser('Accelerate test command'							)

      parser.add_argument(
          '--config_file'		,   default=_a		,   help=(
              'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
              'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
              'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
              'with \'huggingface\'.'
          )		,   )

      if subparsers is not None:
            parser.set_defaults(func=_a							)
      return parser



def   snake_case						(				_a:     Optional[Any]							)->		Union[str, Any]:
      '''simple docstring'''


      lowerCamelCase__           =		os.path.sep.join(__file__.split(os.path.sep							)[:-2] + ['test_utils', 'scripts', 'test_script.py']							)

      if args.config_file is None:
            lowerCamelCase__           =		script_name
      else:
            lowerCamelCase__           =		F'--config_file={args.config_file} {script_name}'

      lowerCamelCase__           =		['accelerate-launch'] + test_args.split()
      lowerCamelCase__           =		execute_subprocess_async(_a		,   env=os.environ.copy()							)
      if result.returncode == 0:
            print('Test is a success! You are ready for your distributed training!'							)



def   snake_case						(				)->		Optional[int]:
      '''simple docstring'''


      lowerCamelCase__           =		test_command_parser()
      lowerCamelCase__           =		parser.parse_args()
      test_command(_a							)


if __name__ == "__main__":
   main()







"""simple docstring"""


import argparse
import json

from tqdm import tqdm



def   snake_case						(				)->		List[Any]:
      '''simple docstring'''


      lowerCamelCase__           =		argparse.ArgumentParser()

      # Required parameters
      parser.add_argument(
          '--src_path'		,   type=_a		,   default='biencoder-nq-dev.json'		,   help='Path to raw DPR training data'		,   )
      parser.add_argument(
          '--evaluation_set'		,   type=_a		,   help='where to store parsed evaluation_set file'		,   )
      parser.add_argument(
          '--gold_data_path'		,   type=_a		,   help='where to store parsed gold_data_path file'		,   )
      lowerCamelCase__           =		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:
            lowerCamelCase__           =		json.load(_a							)
            for dpr_record in tqdm(_a							):
                  lowerCamelCase__           =		dpr_record['question']
                  lowerCamelCase__           =		[context['title'] for context in dpr_record['positive_ctxs']]
                  eval_file.write(question + '\n'							)
                  gold_file.write('\t'.join(_a							) + '\n'							)


if __name__ == "__main__":
   main()



