


'''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()







'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A					:  List[Any]											=      logging.get_logger(__name__)

__A					:  Optional[Any]											=      {
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					'gpt_neox'

    def __init__(   self    :  Optional[int]    ,						lowerCamelCase    :  Tuple=5_04_32    ,						lowerCamelCase    :  Optional[int]=61_44    ,						lowerCamelCase    :  Tuple=44    ,						lowerCamelCase    :  Any=64    ,						lowerCamelCase    :  List[Any]=2_45_76    ,						lowerCamelCase    :  List[Any]="gelu"    ,						lowerCamelCase    :  Optional[Any]=0.25    ,						lowerCamelCase    :  Any=1_00_00    ,						lowerCamelCase    :  Any=0.0    ,						lowerCamelCase    :  str=0.0    ,						lowerCamelCase    :  Optional[int]=0.1    ,						lowerCamelCase    :  List[Any]=20_48    ,						lowerCamelCase    :  List[Any]=0.02    ,						lowerCamelCase    :  Any=1E-5    ,						lowerCamelCase    :  Dict=True    ,						lowerCamelCase    :  Optional[int]=0    ,						lowerCamelCase    :  List[str]=2    ,						lowerCamelCase    :  Dict=False    ,						lowerCamelCase    :  Tuple=True    ,						lowerCamelCase    :  Optional[int]=None    ,						**lowerCamelCase    :  int    ,						)   ->  Optional[Any]:
      super().__init__(bos_token_id=lowerCamelCase    ,						eos_token_id=lowerCamelCase    ,						**lowerCamelCase		)
      lowerCAmelCase_			:      Tuple			=   vocab_size
      lowerCAmelCase_			:      Union[str, Any]			=   max_position_embeddings
      lowerCAmelCase_			:      Any			=   hidden_size
      lowerCAmelCase_			:      List[Any]			=   num_hidden_layers
      lowerCAmelCase_			:      Optional[int]			=   num_attention_heads
      lowerCAmelCase_			:      str			=   intermediate_size
      lowerCAmelCase_			:      int			=   hidden_act
      lowerCAmelCase_			:      List[Any]			=   rotary_pct
      lowerCAmelCase_			:      Any			=   rotary_emb_base
      lowerCAmelCase_			:      List[str]			=   attention_dropout
      lowerCAmelCase_			:      Union[str, Any]			=   hidden_dropout
      lowerCAmelCase_			:      Tuple			=   classifier_dropout
      lowerCAmelCase_			:      Union[str, Any]			=   initializer_range
      lowerCAmelCase_			:      Any			=   layer_norm_eps
      lowerCAmelCase_			:      str			=   use_cache
      lowerCAmelCase_			:      str			=   tie_word_embeddings
      lowerCAmelCase_			:      str			=   use_parallel_residual
      lowerCAmelCase_			:      Any			=   rope_scaling
      self._rope_scaling_validation()

      if self.hidden_size % self.num_attention_heads != 0:
        raise ValueError(
            """The hidden size is not divisble by the number of attention heads! Make sure to update them!"""		)





    def __lowercase   (   self    :  List[str]		)   ->  List[str]:
      if self.rope_scaling is None:
        return

      if not isinstance(self.rope_scaling    ,						lowerCamelCase		) or len(self.rope_scaling		) != 2:
        raise ValueError(
            """`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, """
            F'got {self.rope_scaling}'		)
      lowerCAmelCase_			:      Optional[Any]			=   self.rope_scaling.get("""type"""    ,						lowerCamelCase		)
      lowerCAmelCase_			:      int			=   self.rope_scaling.get("""factor"""    ,						lowerCamelCase		)
      if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
        raise ValueError(
            F'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'		)
      if rope_scaling_factor is None or not isinstance(lowerCamelCase    ,						lowerCamelCase		) or rope_scaling_factor <= 1.0:
        raise ValueError(F'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'		)



