




class  _lowerCamelCase						:

      """simple docstring"""

      def __init__(     self					: List[Any] ,       snake_case					: int ,       snake_case					: Tuple=None ,       snake_case					: List[Any]=None				):
          __UpperCamelCase  		=						data
          __UpperCamelCase  		=						previous
          __UpperCamelCase  		=						next_node







      def __str__(     self					: List[str]				):
          return F"{self.data}"







      def       snake_case	(     self					: str				):
          return self.data







      def       snake_case	(     self					: Tuple				):
          return self.next







      def       snake_case	(     self					: Any				):
          return self.previous







class  _lowerCamelCase						:

      """simple docstring"""

      def __init__(     self					: Any ,       snake_case					: Any				):
          __UpperCamelCase  		=						head







      def __iter__(     self					: Optional[Any]				):
          return self







      def       snake_case	(     self					: List[str]				):
          if not self.current:
              raise StopIteration
          else:
              __UpperCamelCase  		=						self.current.get_data()
              __UpperCamelCase  		=						self.current.get_next()
              return value







class  _lowerCamelCase						:

      """simple docstring"""

      def __init__(     self					: Optional[Any]				):
          __UpperCamelCase  		=						None  # First node in list
          __UpperCamelCase  		=						None  # Last node in list







      def __str__(     self					: Optional[Any]				):
          __UpperCamelCase  		=						self.head
          __UpperCamelCase  		=						[]
          while current is not None:
              nodes.append(current.get_data()				)
              __UpperCamelCase  		=						current.get_next()
          return " ".join(str(snake_case				) for node in nodes				)







      def __contains__(     self					: Dict ,       snake_case					: int				):
          __UpperCamelCase  		=						self.head
          while current:
              if current.get_data() == value:
                  return True
              __UpperCamelCase  		=						current.get_next()
          return False







      def __iter__(     self					: Any				):
          return LinkedListIterator(self.head				)







      def       snake_case	(     self					: List[Any]				):
          if self.head:
              return self.head.get_data()
          return None







      def       snake_case	(     self					: List[Any]				):
          if self.tail:
              return self.tail.get_data()
          return None







      def       snake_case	(     self					: List[str] ,       snake_case					: Node				):
          if self.head is None:
              __UpperCamelCase  		=						node
              __UpperCamelCase  		=						node
          else:
              self.insert_before_node(self.head ,       snake_case				)







      def       snake_case	(     self					: str ,       snake_case					: Node				):
          if self.head is None:
              self.set_head(snake_case				)
          else:
              self.insert_after_node(self.tail ,       snake_case				)







      def       snake_case	(     self					: Union[str, Any] ,       snake_case					: int				):
          __UpperCamelCase  		=						Node(snake_case				)
          if self.head is None:
              self.set_head(snake_case				)
          else:
              self.set_tail(snake_case				)







      def       snake_case	(     self					: List[Any] ,       snake_case					: Node ,       snake_case					: Node				):
          __UpperCamelCase  		=						node
          __UpperCamelCase  		=						node.previous

          if node.get_previous() is None:
              __UpperCamelCase  		=						node_to_insert
          else:
              __UpperCamelCase  		=						node_to_insert

          __UpperCamelCase  		=						node_to_insert







      def       snake_case	(     self					: Optional[Any] ,       snake_case					: Node ,       snake_case					: Node				):
          __UpperCamelCase  		=						node
          __UpperCamelCase  		=						node.next

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

          __UpperCamelCase  		=						node_to_insert







      def       snake_case	(     self					: str ,       snake_case					: int ,       snake_case					: int				):
          __UpperCamelCase  		=						1
          __UpperCamelCase  		=						Node(snake_case				)
          __UpperCamelCase  		=						self.head
          while node:
              if current_position == position:
                  self.insert_before_node(snake_case ,       snake_case				)
                  return
              current_position += 1
              __UpperCamelCase  		=						node.next
          self.insert_after_node(self.tail ,       snake_case				)







      def       snake_case	(     self					: Any ,       snake_case					: int				):
          __UpperCamelCase  		=						self.head
          while node:
              if node.get_data() == item:
                  return node
              __UpperCamelCase  		=						node.get_next()
          raise Exception('''Node not found'''				)







      def       snake_case	(     self					: Tuple ,       snake_case					: Union[str, Any]				):
          if (node := self.get_node(snake_case				)) is not None:
              if node == self.head:
                  __UpperCamelCase  		=						self.head.get_next()

              if node == self.tail:
                  __UpperCamelCase  		=						self.tail.get_previous()

              self.remove_node_pointers(snake_case				)







      @staticmethod
      def       snake_case	(     snake_case					: Node				):
          if node.get_next():
              __UpperCamelCase  		=						node.previous

          if node.get_previous():
              __UpperCamelCase  		=						node.next

          __UpperCamelCase  		=						None
          __UpperCamelCase  		=						None







      def       snake_case	(     self					: Union[str, Any]				):
          return self.head is None







def 					__SCREAMING_SNAKE_CASE   (  )       ->	None:

    """simple docstring"""




if __name__ == "__main__":
 import doctest

 doctest.testmod()












import argparse
from pathlib import Path

import torch

from transformers import OPTConfig, OPTModel
from transformers.utils import logging


logging.set_verbosity_info()
a_   		=     logging.get_logger(__name__)




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	str:

    """simple docstring"""


    __UpperCamelCase  		=						torch.load(lowercase_					,     map_location='''cpu'''      )
    if "model" in sd.keys():
        __UpperCamelCase  		=						torch.load(lowercase_					,     map_location='''cpu'''      )['''model''']

    # pop unnecessary weights
    __UpperCamelCase  		=						[
        '''decoder.version''',
        '''decoder.output_projection.weight''',
    ]
    for key in keys_to_delete:
        if key in sd:
            sd.pop(lowercase_      )

    __UpperCamelCase  		=						{
        '''decoder.project_in_dim.weight''': '''decoder.project_in.weight''',
        '''decoder.project_out_dim.weight''': '''decoder.project_out.weight''',
        '''decoder.layer_norm.weight''': '''decoder.final_layer_norm.weight''',
        '''decoder.layer_norm.bias''': '''decoder.final_layer_norm.bias''',
    }
    for old_key, new_key in keys_to_rename.items():
        if old_key in sd:
            __UpperCamelCase  		=						sd.pop(lowercase_      )

    __UpperCamelCase  		=						list(sd.keys()      )
    for key in keys:
        if ".qkv_proj." in key:
            __UpperCamelCase  		=						sd[key]
            # We split QKV in separate Q,K,V

            __UpperCamelCase  		=						key.replace('''.qkv_proj.'''					,     '''.q_proj.'''      )
            __UpperCamelCase  		=						key.replace('''.qkv_proj.'''					,     '''.k_proj.'''      )
            __UpperCamelCase  		=						key.replace('''.qkv_proj.'''					,     '''.v_proj.'''      )

            __UpperCamelCase  		=						value.shape[0]
            assert depth % 3 == 0
            # `SequeuceParallelTransformerBlock` has QKV weight is separated in K,V,Q despite the naming:
            # https://cs.github.com/facebookresearch/metaseq/blob/51871bd73cd04c038f239ea2a26db1d7f6b37927/metaseq/modules/sequence_parallel_transformer_layer.py#L97
            __UpperCamelCase		,      __UpperCamelCase		,      __UpperCamelCase  		=						torch.split(lowercase_					,     depth // 3					,     dim=0      )

            __UpperCamelCase  		=						q
            __UpperCamelCase  		=						k
            __UpperCamelCase  		=						v
            del sd[key]

    return sd




@torch.no_grad()
def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_=None      )       ->	Tuple:

    """simple docstring"""


    __UpperCamelCase  		=						load_checkpoint(lowercase_      )

    if config is not None:
        __UpperCamelCase  		=						OPTConfig.from_pretrained(lowercase_      )
    else:
        __UpperCamelCase  		=						OPTConfig()

    __UpperCamelCase  		=						OPTModel(lowercase_      ).half().eval()
    model.load_state_dict(lowercase_      )

    # Check results
    Path(lowercase_      ).mkdir(exist_ok=lowercase_      )
    model.save_pretrained(lowercase_      )


if __name__ == "__main__":
 a_   		=     argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     "--fairseq_path",
     type=str,
     help=(
         "path to fairseq checkpoint in correct format. You can find all checkpoints in the correct format here:"
         " https://huggingface.co/models?other=opt_metasq"
     ),
 )
 parser.add_argument("--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model.")
 parser.add_argument("--hf_config", default=None, type=str, help="Define HF config.")
 a_   		=     parser.parse_args()
 convert_opt_checkpoint(args.fairseq_path, args.pytorch_dump_folder_path, config=args.hf_config)






