

'''simple docstring'''
import argparse
from pathlib import Path

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







def  _A		(     snake_case		,							snake_case		,							snake_case		,							snake_case		,							snake_case = None		,							snake_case = None		,							snake_case = None		,							)      ->     int:
   if config_name_or_path is None:
      _lowercase      :				str      					=       'facebook/rag-token-base' if model_type == 'rag_token' else 'facebook/rag-sequence-base'

   if generator_tokenizer_name_or_path is None:
      _lowercase      :				int      					=       generator_name_or_path

   if question_encoder_tokenizer_name_or_path is None:
      _lowercase      :				int      					=       question_encoder_name_or_path

   _lowercase      :				Tuple      					=       RagTokenForGeneration if model_type == 'rag_token' else RagSequenceForGeneration

   # Save model.
   _lowercase      :				Dict      					=       RagConfig.from_pretrained(lowerCAmelCase_       )
   _lowercase      :				int      					=       AutoConfig.from_pretrained(lowerCAmelCase_       )
   _lowercase      :				Union[str, Any]      					=       AutoConfig.from_pretrained(lowerCAmelCase_       )

   _lowercase      :				Union[str, Any]      					=       gen_config
   _lowercase      :				Tuple      					=       question_encoder_config

   _lowercase      :				List[str]      					=       model_class.from_pretrained_question_encoder_generator(
       lowerCAmelCase_		,							lowerCAmelCase_		,							config=lowerCAmelCase_       )
   rag_model.save_pretrained(lowerCAmelCase_       )

   # Sanity check.
   model_class.from_pretrained(lowerCAmelCase_       )

   # Save tokenizers.
   _lowercase      :				Optional[Any]      					=       AutoTokenizer.from_pretrained(lowerCAmelCase_       )
   gen_tokenizer.save_pretrained(dest_dir / "generator_tokenizer/"       )
   _lowercase      :				Any      					=       AutoTokenizer.from_pretrained(lowerCAmelCase_       )
   question_encoder_tokenizer.save_pretrained(dest_dir / "question_encoder_tokenizer/"       )


if __name__ == "__main__":
    _snake_case         =  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``'
        ),
    )

    _snake_case         =  parser.parse_args()

    _snake_case         =  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,
    )









'''simple docstring'''
def  _A		(     snake_case		,							snake_case					)      ->     int:
   return int((input_a, input_a).count(0					) != 0					)







def  _A		(     )      ->     None:
   assert nand_gate(0		,							0					) == 1
   assert nand_gate(0		,							1					) == 1
   assert nand_gate(1		,							0					) == 1
   assert nand_gate(1		,							1					) == 0


if __name__ == "__main__":
    print(nand_gate(0, 0))
    print(nand_gate(0, 1))
    print(nand_gate(1, 0))
    print(nand_gate(1, 1))






