
"""simple docstring"""




import argparse
from pathlib import Path

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



def     __magic_name__		(					UpperCamelCase     :		Dict							,		UpperCamelCase     :		str							,		UpperCamelCase     :		str							,		UpperCamelCase     :		Path							,		UpperCamelCase     :		str = None							,		UpperCamelCase     :		str = None							,		UpperCamelCase     :		str = None							,		)     ->						int:
    if config_name_or_path is None:
        a__		=			'facebook/rag-token-base' if model_type == 'rag_token' else 'facebook/rag-sequence-base'

    if generator_tokenizer_name_or_path is None:
        a__		=			generator_name_or_path

    if question_encoder_tokenizer_name_or_path is None:
        a__		=			question_encoder_name_or_path

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

    # Save model.
    a__		=			RagConfig.from_pretrained(UpperCamelCase     )
    a__		=			AutoConfig.from_pretrained(UpperCamelCase     )
    a__		=			AutoConfig.from_pretrained(UpperCamelCase     )

    a__		=			gen_config
    a__		=			question_encoder_config

    a__		=			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.
    a__		=			AutoTokenizer.from_pretrained(UpperCamelCase     )
    gen_tokenizer.save_pretrained(dest_dir / 'generator_tokenizer/'     )
    a__		=			AutoTokenizer.from_pretrained(UpperCamelCase     )
    question_encoder_tokenizer.save_pretrained(dest_dir / 'question_encoder_tokenizer/'     )


if __name__ == "__main__":
    a		:       List[str]     						=       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		:       Dict     						=       parser.parse_args()

    a		:       Tuple     						=       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"""




import operator



def     __magic_name__		(					UpperCamelCase     :		list							,		UpperCamelCase     :		bool = False							,		UpperCamelCase     :		list | None = None     )     ->						list:
    a__		=			operator.lt if reverse else operator.gt
    a__		=			solution or []

    if not arr:
        return solution

    a__		=			[arr.pop(0     )]
    for i, item in enumerate(UpperCamelCase     ):
        if _operator(UpperCamelCase							,		sublist[-1]     ):
            sublist.append(UpperCamelCase     )
            arr.pop(UpperCamelCase     )

    #  merging sublist into solution list
    if not solution:
        solution.extend(UpperCamelCase     )
    else:
        while sublist:
            a__		=			sublist.pop(0     )
            for i, xx in enumerate(UpperCamelCase     ):
                if not _operator(UpperCamelCase							,		UpperCamelCase     ):
                    solution.insert(UpperCamelCase							,		UpperCamelCase     )
                    break
            else:
                solution.append(UpperCamelCase     )

    strand_sort(UpperCamelCase							,		UpperCamelCase							,		UpperCamelCase     )
    return solution


if __name__ == "__main__":
    assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
    assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]


