





'''simple docstring'''







import argparse
from pathlib import Path

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





def 		snake_case_							(_a			:							List[str]					,     _a			:							List[str]					,     _a			:							List[str]					,     _a			:							Optional[int]					,     _a			:							int = None					,     _a			:							Optional[Any] = None					,     _a			:							Any = None					,     ):






    if config_name_or_path is None:
        UpperCAmelCase     =	'''facebook/rag-token-base''' if model_type == '''rag_token''' else '''facebook/rag-sequence-base'''

    if generator_tokenizer_name_or_path is None:
        UpperCAmelCase     =	generator_name_or_path

    if question_encoder_tokenizer_name_or_path is None:
        UpperCAmelCase     =	question_encoder_name_or_path

    UpperCAmelCase     =	RagTokenForGeneration if model_type == '''rag_token''' else RagSequenceForGeneration

    # Save model.
    UpperCAmelCase     =	RagConfig.from_pretrained(_a  )
    UpperCAmelCase     =	AutoConfig.from_pretrained(_a  )
    UpperCAmelCase     =	AutoConfig.from_pretrained(_a  )

    UpperCAmelCase     =	gen_config
    UpperCAmelCase     =	question_encoder_config

    UpperCAmelCase     =	model_class.from_pretrained_question_encoder_generator(
        _a					,     _a					,     config=_a  )
    rag_model.save_pretrained(_a  )

    # Sanity check.
    model_class.from_pretrained(_a  )

    # Save tokenizers.
    UpperCAmelCase     =	AutoTokenizer.from_pretrained(_a  )
    gen_tokenizer.save_pretrained(dest_dir / '''generator_tokenizer/'''  )
    UpperCAmelCase     =	AutoTokenizer.from_pretrained(_a  )
    question_encoder_tokenizer.save_pretrained(dest_dir / '''question_encoder_tokenizer/'''  )


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

   A									=parser.parse_args()

   A									=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'''







from __future__ import annotations





def 		snake_case_							(_a			:							str					,     _a			:							list[str] | None = None  ):
    UpperCAmelCase     =	word_bank or []
    # create a table
    UpperCAmelCase     =	len(_a  ) + 1

    UpperCAmelCase     =	[]
    for _ in range(_a  ):
        table.append([]  )
    # seed value
    UpperCAmelCase     =	[[]]  # because empty string has empty combination

    # iterate through the indices
    for i in range(_a  ):
        # condition
        if table[i] != []:
            for word in word_bank:
                # slice condition
                if target[i : i + len(_a  )] == word:
                    UpperCAmelCase     =	[
                        [word, *way] for way in table[i]
                    ]
                    # adds the word to every combination the current position holds
                    # now,push that combination to the table[i+len(word)]
                    table[i + len(_a  )] += new_combinations

    # combinations are in reverse order so reverse for better output
    for combination in table[len(_a  )]:
        combination.reverse()

    return table[len(_a  )]


if __name__ == "__main__":
   print(all_construct('jwajalapa', ['jwa', 'j', 'w', 'a', 'la', 'lapa']))
   print(all_construct('rajamati', ['s', 'raj', 'amat', 'raja', 'ma', 'i', 't']))
   print(
       all_construct(
           'hexagonosaurus',
           ['h', 'ex', 'hex', 'ag', 'ago', 'ru', 'auru', 'rus', 'go', 'no', 'o', 's'],
       )
   )




