




import argparse
from pathlib import Path

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




def 			__magic_name__				( A		:					List[str],  A		:					str,  A		:					str,  A		:					Path,  A		:					str = None,  A		:					str = None,  A		:					str = None,  ):






			'''simple docstring'''







			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(A   )
			a    =			AutoConfig.from_pretrained(A   )
			a    =			AutoConfig.from_pretrained(A   )

			a    =			gen_config
			a    =			question_encoder_config

			a    =			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.
			a    =			AutoTokenizer.from_pretrained(A   )
			gen_tokenizer.save_pretrained(dest_dir / "generator_tokenizer/"   )
			a    =			AutoTokenizer.from_pretrained(A   )
			question_encoder_tokenizer.save_pretrained(dest_dir / "question_encoder_tokenizer/"   )


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

		__lowerCAmelCase		:				Any       			=		parser.parse_args()

		__lowerCAmelCase		:				Optional[int]       			=		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 collections import defaultdict





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				first_str.lower().strip()
    __a						       =				second_str.lower().strip()

    # Remove whitespace
    __a						       =				first_str.replace(''' '''   , ''''''				)
    __a						       =				second_str.replace(''' '''   , ''''''				)

    # Strings of different lengths are not anagrams
    if len(_UpperCAmelCase				) != len(_UpperCAmelCase				):
        return False

    # Default values for count should be 0
    __a						       =				defaultdict(_UpperCAmelCase				)

    # For each character in input strings,
    # increment count in the corresponding
    for i in range(len(_UpperCAmelCase				)				):
        count[first_str[i]] += 1
        count[second_str[i]] -= 1

    return all(_count == 0 for _count in count.values()				)


if __name__ == "__main__":
 from doctest import testmod

 testmod()
 __snake_case						:Any      		=     input('''Enter the first string ''').strip()
 __snake_case						:int      		=     input('''Enter the second string ''').strip()

 __snake_case						:int      		=     check_anagrams(input_a, input_b)
 print(f'{input_a} and {input_b} are {"" if status else "not "}anagrams.')





