





import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:Optional[int]   ,   SCREAMING_SNAKE_CASE		:str   ,   SCREAMING_SNAKE_CASE		:Dict   ,   SCREAMING_SNAKE_CASE		:Tuple   ,   SCREAMING_SNAKE_CASE		:List[Any] = None   ,   SCREAMING_SNAKE_CASE		:Tuple = None   ,   SCREAMING_SNAKE_CASE		:Union[str, Any] = None   ,   )      ->   Optional[int]:

 if config_name_or_path is None:
  __lowerCAmelCase					:	Dict      =       """facebook/rag-token-base""" if model_type == """rag_token""" else """facebook/rag-sequence-base"""

 if generator_tokenizer_name_or_path is None:
  __lowerCAmelCase					:	Optional[Any]      =       generator_name_or_path

 if question_encoder_tokenizer_name_or_path is None:
  __lowerCAmelCase					:	Optional[int]      =       question_encoder_name_or_path

 __lowerCAmelCase					:	int      =       RagTokenForGeneration if model_type == """rag_token""" else RagSequenceForGeneration

 # Save model.
 __lowerCAmelCase					:	str      =       RagConfig.from_pretrained(__UpperCAmelCase   )
 __lowerCAmelCase					:	Any      =       AutoConfig.from_pretrained(__UpperCAmelCase   )
 __lowerCAmelCase					:	List[str]      =       AutoConfig.from_pretrained(__UpperCAmelCase   )

 __lowerCAmelCase					:	Optional[int]      =       gen_config
 __lowerCAmelCase					:	List[str]      =       question_encoder_config

 __lowerCAmelCase					:	List[Any]      =       model_class.from_pretrained_question_encoder_generator(
     __UpperCAmelCase   ,   __UpperCAmelCase   ,   config=__UpperCAmelCase   )
 rag_model.save_pretrained(__UpperCAmelCase   )

 # Sanity check.
 model_class.from_pretrained(__UpperCAmelCase   )

 # Save tokenizers.
 __lowerCAmelCase					:	str      =       AutoTokenizer.from_pretrained(__UpperCAmelCase   )
 gen_tokenizer.save_pretrained(dest_dir / """generator_tokenizer/"""   )
 __lowerCAmelCase					:	int      =       AutoTokenizer.from_pretrained(__UpperCAmelCase   )
 question_encoder_tokenizer.save_pretrained(dest_dir / """question_encoder_tokenizer/"""   )


if __name__ == "__main__":
      _UpperCAmelCase             =							argparse.ArgumentParser()
      parser.add_argument(
          '--model_type',
          choices=['rag_sequence', 'rag_token'],
          required=True,
          type=str,
          help='RAG model type: rag_sequence, rag_token',
      )
      parser.add_argument('--dest', type=str, required=True, help='Path to the output checkpoint directory.')
      parser.add_argument('--generator_name_or_path', type=str, required=True, help='Generator model identifier')
      parser.add_argument(
          '--question_encoder_name_or_path', type=str, required=True, help='Question encoder model identifier'
      )

      parser.add_argument(
          '--generator_tokenizer_name_or_path',
          type=str,
          help='Generator tokenizer identifier, if not specified, resolves to ``generator_name_or_path``',
      )
      parser.add_argument(
          '--question_encoder_tokenizer_name_or_path',
          type=str,
          help='Question encoder tokenizer identifier, if not specified, resolves to ``question_encoder_name_or_path``',
      )
      parser.add_argument(
          '--config_name_or_path',
          type=str,
          help=(
              'Identifier of the model config to use, if not provided, resolves to a base config for a given'
              ' ``model_type``'
          ),
      )

      _UpperCAmelCase             =							parser.parse_args()

      _UpperCAmelCase             =							Path(args.dest)
      dest_dir.mkdir(exist_ok=True)

      consolidate(
          args.model_type,
          args.generator_name_or_path,
          args.question_encoder_name_or_path,
          dest_dir,
          args.config_name_or_path,
          args.generator_tokenizer_name_or_path,
          args.question_encoder_tokenizer_name_or_path,
      )






from __future__ import annotations






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   bool:
 __lowerCAmelCase					:	Tuple      =       len(SCREAMING_SNAKE_CASE   )
 # We need to create solution object to save path.
 __lowerCAmelCase					:	str      =       [[0 for _ in range(SCREAMING_SNAKE_CASE   )] for _ in range(SCREAMING_SNAKE_CASE   )]
 __lowerCAmelCase					:	str      =       run_maze(SCREAMING_SNAKE_CASE   ,   0   ,   0   ,   SCREAMING_SNAKE_CASE   )
 if solved:
  print("""\n""".join(str(SCREAMING_SNAKE_CASE   ) for row in solutions   )   )
 else:
  print("""No solution exists!"""   )
 return solved






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[list[int]]   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   bool:
 __lowerCAmelCase					:	List[str]      =       len(SCREAMING_SNAKE_CASE   )
 # Final check point.
 if i == j == (size - 1):
  __lowerCAmelCase					:	str      =       1
  return True

 __lowerCAmelCase					:	Optional[Any]      =       (not i < 0) and (not j < 0)  # Check lower bounds
 __lowerCAmelCase					:	Optional[Any]      =       (i < size) and (j < size)  # Check upper bounds

 if lower_flag and upper_flag:
  # check for already visited and block points.
  __lowerCAmelCase					:	int      =       (not solutions[i][j]) and (not maze[i][j])
  if block_flag:
   # check visited
   __lowerCAmelCase					:	Tuple      =       1

   # check for directions
   if (
       run_maze(SCREAMING_SNAKE_CASE   ,   i + 1   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
       or run_maze(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   j + 1   ,   SCREAMING_SNAKE_CASE   )
       or run_maze(SCREAMING_SNAKE_CASE   ,   i - 1   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
       or run_maze(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   j - 1   ,   SCREAMING_SNAKE_CASE   )
   ):
    return True

   __lowerCAmelCase					:	Tuple      =       0
   return False
 return False


if __name__ == "__main__":
      import doctest

      doctest.testmod()