





"""simple docstring"""
import argparse
from pathlib import Path

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



def      __lowerCamelCase   (							a_     :		Any ,   a_     :		str ,   a_     :		str ,   a_     :		Path ,   a_     :		str = None ,   a_     :		str = None ,   a_     :		str = None ,   )			->      Optional[Any]:





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

      if generator_tokenizer_name_or_path is None:
            __SCREAMING_SNAKE_CASE   :Optional[int]						=  generator_name_or_path

      if question_encoder_tokenizer_name_or_path is None:
            __SCREAMING_SNAKE_CASE   :Dict						=  question_encoder_name_or_path

      __SCREAMING_SNAKE_CASE   :Tuple						=  RagTokenForGeneration if model_type == """rag_token""" else RagSequenceForGeneration

      # Save model.
      __SCREAMING_SNAKE_CASE   :List[str]						=  RagConfig.from_pretrained(A__							)
      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  AutoConfig.from_pretrained(A__							)
      __SCREAMING_SNAKE_CASE   :Tuple						=  AutoConfig.from_pretrained(A__							)

      __SCREAMING_SNAKE_CASE   :int						=  gen_config
      __SCREAMING_SNAKE_CASE   :Dict						=  question_encoder_config

      __SCREAMING_SNAKE_CASE   :str						=  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.
      __SCREAMING_SNAKE_CASE   :str						=  AutoTokenizer.from_pretrained(A__							)
      gen_tokenizer.save_pretrained(dest_dir / '''generator_tokenizer/'''							)
      __SCREAMING_SNAKE_CASE   :List[str]						=  AutoTokenizer.from_pretrained(A__							)
      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,
  )



'''simple docstring'''






class    __snake_case       :







    """simple docstring"""



    def __init__(   self    :  int    ,						lowerCamelCase    :  int    ,						lowerCamelCase    :  int=None    ,						lowerCamelCase    :  int=None		)   ->  str:
      lowerCAmelCase_			:      str			=   data
      lowerCAmelCase_			:      Optional[Any]			=   previous
      lowerCAmelCase_			:      int			=   next_node

    def __str__(   self    :  Any		)   ->  str:
      return F'{self.data}'

    def __lowercase   (   self    :  Optional[Any]		)   ->  int:
      return self.data

    def __lowercase   (   self    :  str		)   ->  List[str]:
      return self.next





    def __lowercase   (   self    :  int		)   ->  Optional[int]:
      return self.previous







class    __snake_case       :







    """simple docstring"""



    def __init__(   self    :  Union[str, Any]    ,						lowerCamelCase    :  Optional[int]		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Optional[Any]			=   head

    def __iter__(   self    :  str		)   ->  Optional[Any]:
      return self





    def __lowercase   (   self    :  Union[str, Any]		)   ->  Dict:
      if not self.current:
        raise StopIteration
      else:
        lowerCAmelCase_			:      Dict			=   self.current.get_data()
        lowerCAmelCase_			:      Tuple			=   self.current.get_next()
        return value







class    __snake_case       :







    """simple docstring"""



    def __init__(   self    :  Union[str, Any]		)   ->  Any:
      lowerCAmelCase_			:      Optional[Any]			=   None  # First node in list
      lowerCAmelCase_			:      Optional[Any]			=   None  # Last node in list

    def __str__(   self    :  Optional[int]		)   ->  Dict:
      lowerCAmelCase_			:      str			=   self.head
      lowerCAmelCase_			:      Tuple			=   []
      while current is not None:
        nodes.append(current.get_data()		)
        lowerCAmelCase_			:      str			=   current.get_next()
      return " ".join(str(lowerCamelCase		) for node in nodes		)

    def __contains__(   self    :  List[Any]    ,						lowerCamelCase    :  int		)   ->  List[str]:
      lowerCAmelCase_			:      List[str]			=   self.head
      while current:
        if current.get_data() == value:
          return True
        lowerCAmelCase_			:      List[Any]			=   current.get_next()
      return False

    def __iter__(   self    :  str		)   ->  Optional[Any]:
      return LinkedListIterator(self.head		)

    def __lowercase   (   self    :  Dict		)   ->  Optional[int]:
      if self.head:
        return self.head.get_data()
      return None

    def __lowercase   (   self    :  List[str]		)   ->  Optional[Any]:
      if self.tail:
        return self.tail.get_data()
      return None

    def __lowercase   (   self    :  Optional[Any]    ,						lowerCamelCase    :  Node		)   ->  None:
      if self.head is None:
        lowerCAmelCase_			:      Union[str, Any]			=   node
        lowerCAmelCase_			:      List[str]			=   node
      else:
        self.insert_before_node(self.head    ,						lowerCamelCase		)

    def __lowercase   (   self    :  Tuple    ,						lowerCamelCase    :  Node		)   ->  None:
      if self.head is None:
        self.set_head(lowerCamelCase		)
      else:
        self.insert_after_node(self.tail    ,						lowerCamelCase		)

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  int		)   ->  None:
      lowerCAmelCase_			:      int			=   Node(lowerCamelCase		)
      if self.head is None:
        self.set_head(lowerCamelCase		)
      else:
        self.set_tail(lowerCamelCase		)

    def __lowercase   (   self    :  Optional[Any]    ,						lowerCamelCase    :  Node    ,						lowerCamelCase    :  Node		)   ->  None:
      lowerCAmelCase_			:      Optional[int]			=   node
      lowerCAmelCase_			:      List[Any]			=   node.previous

      if node.get_previous() is None:
        lowerCAmelCase_			:      Tuple			=   node_to_insert
      else:
        lowerCAmelCase_			:      Dict			=   node_to_insert

      lowerCAmelCase_			:      Optional[int]			=   node_to_insert

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  Node    ,						lowerCamelCase    :  Node		)   ->  None:
      lowerCAmelCase_			:      Optional[int]			=   node
      lowerCAmelCase_			:      Tuple			=   node.next

      if node.get_next() is None:
        lowerCAmelCase_			:      Tuple			=   node_to_insert
      else:
        lowerCAmelCase_			:      Tuple			=   node_to_insert

      lowerCAmelCase_			:      Optional[Any]			=   node_to_insert

    def __lowercase   (   self    :  Dict    ,						lowerCamelCase    :  int    ,						lowerCamelCase    :  int		)   ->  None:
      lowerCAmelCase_			:      List[str]			=   1
      lowerCAmelCase_			:      Tuple			=   Node(lowerCamelCase		)
      lowerCAmelCase_			:      List[Any]			=   self.head
      while node:
        if current_position == position:
          self.insert_before_node(lowerCamelCase    ,						lowerCamelCase		)
          return
        current_position += 1
        lowerCAmelCase_			:      str			=   node.next
      self.insert_after_node(self.tail    ,						lowerCamelCase		)

    def __lowercase   (   self    :  int    ,						lowerCamelCase    :  int		)   ->  Node:
      lowerCAmelCase_			:      List[Any]			=   self.head
      while node:
        if node.get_data() == item:
          return node
        lowerCAmelCase_			:      List[Any]			=   node.get_next()
      raise Exception("""Node not found"""		)

    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  str		)   ->  int:
      if (node := self.get_node(lowerCamelCase		)) is not None:
        if node == self.head:
          lowerCAmelCase_			:      Any			=   self.head.get_next()

        if node == self.tail:
          lowerCAmelCase_			:      Optional[int]			=   self.tail.get_previous()

        self.remove_node_pointers(lowerCamelCase		)

    @staticmethod
    def __lowercase   (   lowerCamelCase    :  Node		)   ->  None:
      if node.get_next():
        lowerCAmelCase_			:      Tuple			=   node.previous

      if node.get_previous():
        lowerCAmelCase_			:      Any			=   node.next

      lowerCAmelCase_			:      List[Any]			=   None
      lowerCAmelCase_			:      Any			=   None





    def __lowercase   (   self    :  str		)   ->  Optional[Any]:
      return self.head is None







def 				UpperCamelCase_			(    ):
  '''simple docstring'''







if __name__ == "__main__":
  import doctest

  doctest.testmod()



