



"""simple docstring"""
def       _snake_case						(						UpperCamelCase						:		Tuple			,		UpperCamelCase						:		Optional[int]						):
 UpperCAmelCase	:					Tuple	=	0
 UpperCAmelCase	:					str	=	len(UpperCamelCase						) - 1

 while left <= right:
  # avoid divided by 0 during interpolation
  if sorted_collection[left] == sorted_collection[right]:
   if sorted_collection[left] == item:
    return left
   else:
    return None

  UpperCAmelCase	:					List[Any]	=	left + ((item - sorted_collection[left]) * (right - left)) // (
      sorted_collection[right] - sorted_collection[left]
  )

  # out of range check
  if point < 0 or point >= len(UpperCamelCase						):
   return None

  UpperCAmelCase	:					Tuple	=	sorted_collection[point]
  if current_item == item:
   return point
  else:
   if point < left:
    UpperCAmelCase	:					List[str]	=	left
    UpperCAmelCase	:					Union[str, Any]	=	point
   elif point > right:
    UpperCAmelCase	:					Union[str, Any]	=	right
    UpperCAmelCase	:					List[str]	=	point
   else:
    if item < current_item:
     UpperCAmelCase	:					Tuple	=	point - 1
    else:
     UpperCAmelCase	:					Any	=	point + 1
 return None

def       _snake_case						(						UpperCamelCase						:		int			,		UpperCamelCase						:		Tuple			,		UpperCamelCase						:		int			,		UpperCamelCase						:		Dict						):

 # avoid divided by 0 during interpolation
 if sorted_collection[left] == sorted_collection[right]:
  if sorted_collection[left] == item:
   return left
  else:
   return None

 UpperCAmelCase	:					Optional[int]	=	left + ((item - sorted_collection[left]) * (right - left)) // (
     sorted_collection[right] - sorted_collection[left]
 )

 # out of range check
 if point < 0 or point >= len(UpperCamelCase						):
  return None

 if sorted_collection[point] == item:
  return point
 elif point < left:
  return interpolation_search_by_recursion(UpperCamelCase			,		UpperCamelCase			,		UpperCamelCase			,		UpperCamelCase						)
 elif point > right:
  return interpolation_search_by_recursion(UpperCamelCase			,		UpperCamelCase			,		UpperCamelCase			,		UpperCamelCase						)
 else:
  if sorted_collection[point] > item:
   return interpolation_search_by_recursion(
       UpperCamelCase			,		UpperCamelCase			,		UpperCamelCase			,		point - 1						)
  else:
   return interpolation_search_by_recursion(
       UpperCamelCase			,		UpperCamelCase			,		point + 1			,		UpperCamelCase						)

def       _snake_case						(						UpperCamelCase						:		Optional[Any]						):
 if collection != sorted(UpperCamelCase						):
  raise ValueError("""Collection must be ascending sorted"""						)
 return True


if __name__ == "__main__":
      import sys
      A:   Any								=		0
      if debug == 1:
            A:   Optional[int]								=		[1_0, 3_0, 4_0, 4_5, 5_0, 6_6, 7_7, 9_3]
            try:
                  __assert_sorted(collection)
            except ValueError:
                  sys.exit("Sequence must be ascending sorted to apply interpolation search")
            A:   str								=		6_7

      A:   List[Any]								=		interpolation_search(collection, target)
      if result is not None:
            print(f"""{target} found at positions: {result}""")
      else:
            print("Not found")

"""simple docstring"""






import argparse
from pathlib import Path

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


def 			UpperCAmelCase__       (				lowerCAmelCase__     :Any					,		lowerCAmelCase__     :str					,		lowerCAmelCase__     :str					,		lowerCAmelCase__     :Path					,		lowerCAmelCase__     :str = None					,		lowerCAmelCase__     :str = None					,		lowerCAmelCase__     :str = None					,		) ->    Optional[int]:
      '''simple docstring'''


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

      if generator_tokenizer_name_or_path is None:
            lowercase														=	generator_name_or_path

      if question_encoder_tokenizer_name_or_path is None:
            lowercase														=	question_encoder_name_or_path

      lowercase														=	RagTokenForGeneration if model_type == """rag_token""" else RagSequenceForGeneration

      # Save model.
      lowercase														=	RagConfig.from_pretrained(lowerCAmelCase__		)
      lowercase														=	AutoConfig.from_pretrained(lowerCAmelCase__		)
      lowercase														=	AutoConfig.from_pretrained(lowerCAmelCase__		)

      lowercase														=	gen_config
      lowercase														=	question_encoder_config

      lowercase														=	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														=	AutoTokenizer.from_pretrained(lowerCAmelCase__		)
      gen_tokenizer.save_pretrained(dest_dir / """generator_tokenizer/"""		)
      lowercase														=	AutoTokenizer.from_pretrained(lowerCAmelCase__		)
      question_encoder_tokenizer.save_pretrained(dest_dir / """question_encoder_tokenizer/"""		)


if __name__ == "__main__":
       __lowerCAmelCase    :       int					     =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    :       List[str]					     =parser.parse_args()

       __lowerCAmelCase    :       Dict					     =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,
       )



