





import argparse
from pathlib import Path

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




def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_ = None ,    lowercase_ = None ,    lowercase_ = None ,    ):
       if config_name_or_path is None:
              _lowerCamelCase							:     str	=		'''facebook/rag-token-base''' if model_type == '''rag_token''' else '''facebook/rag-sequence-base'''

       if generator_tokenizer_name_or_path is None:
              _lowerCamelCase							:     List[Any]	=		generator_name_or_path

       if question_encoder_tokenizer_name_or_path is None:
              _lowerCamelCase							:     str	=		question_encoder_name_or_path

       _lowerCamelCase							:     Any	=		RagTokenForGeneration if model_type == '''rag_token''' else RagSequenceForGeneration

       # Save model.
       _lowerCamelCase							:     Optional[Any]	=		RagConfig.from_pretrained(lowercase_      )
       _lowerCamelCase							:     str	=		AutoConfig.from_pretrained(lowercase_      )
       _lowerCamelCase							:     Any	=		AutoConfig.from_pretrained(lowercase_      )

       _lowerCamelCase							:     Any	=		gen_config
       _lowerCamelCase							:     Optional[Any]	=		question_encoder_config

       _lowerCamelCase							:     Optional[int]	=		model_class.from_pretrained_question_encoder_generator(
           lowercase_ ,    lowercase_ ,    config=lowercase_      )
       rag_model.save_pretrained(lowercase_      )

       # Sanity check.
       model_class.from_pretrained(lowercase_      )

       # Save tokenizers.
       _lowerCamelCase							:     Dict	=		AutoTokenizer.from_pretrained(lowercase_      )
       gen_tokenizer.save_pretrained(dest_dir / '''generator_tokenizer/'''      )
       _lowerCamelCase							:     Tuple	=		AutoTokenizer.from_pretrained(lowercase_      )
       question_encoder_tokenizer.save_pretrained(dest_dir / '''question_encoder_tokenizer/'''      )


if __name__ == "__main__":
       _lowerCamelCase			       =      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			       =      parser.parse_args()

       _lowerCamelCase			       =      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,
       )








import math




def    __UpperCAmelCase(      lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     List[str]	=		len(lowercase_      )
       _lowerCamelCase							:     Optional[int]	=		int(math.floor(math.sqrt(lowercase_      )      )      )
       _lowerCamelCase							:     Tuple	=		0
       while arr[min(lowercase_ ,    lowercase_      ) - 1] < x:
              _lowerCamelCase							:     Optional[Any]	=		step
              step += int(math.floor(math.sqrt(lowercase_      )      )      )
              if prev >= n:
                     return -1

       while arr[prev] < x:
              _lowerCamelCase							:     int	=		prev + 1
              if prev == min(lowercase_ ,    lowercase_      ):
                     return -1
       if arr[prev] == x:
              return prev
       return -1


if __name__ == "__main__":
       _lowerCamelCase			       =      input('Enter numbers separated by a comma:\n').strip()
       _lowerCamelCase			       =      [int(item) for item in user_input.split(',')]
       _lowerCamelCase			       =      int(input('Enter the number to be searched:\n'))
       _lowerCamelCase			       =      jump_search(arr, x)
       if res == -1:
              print('Number not found!')
       else:
              print(F'''Number {x} is at index {res}''')

