code: 
  
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE__		:       Dict												=							logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE__		:       Tuple												=							{
      """facebook/opt-125m""": """https://huggingface.co/facebook/opt-125m/blob/main/config.json""",
      """facebook/opt-350m""": """https://huggingface.co/facebook/opt-350m/blob/main/config.json""",
      """facebook/opt-1.3b""": """https://huggingface.co/facebook/opt-1.3b/blob/main/config.json""",
      """facebook/opt-2.7b""": """https://huggingface.co/facebook/opt-2.7b/blob/main/config.json""",
      """facebook/opt-6.7b""": """https://huggingface.co/facebook/opt-6.7b/blob/main/config.json""",
      """facebook/opt-13b""": """https://huggingface.co/facebook/opt-13b/blob/main/config.json""",
  }
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     (		__lowerCamelCase		):
       __lowerCamelCase										=     'opt'
       __lowerCamelCase										=     ['past_key_values']
  
  
  
  
       def __init__(							self  ,	_lowerCAmelCase=50272  ,	_lowerCAmelCase=768  ,	_lowerCAmelCase=12  ,	_lowerCAmelCase=3072  ,	_lowerCAmelCase=2048  ,	_lowerCAmelCase=True  ,	_lowerCAmelCase=False  ,	_lowerCAmelCase=None  ,	_lowerCAmelCase=0.1  ,	_lowerCAmelCase=0.0  ,	_lowerCAmelCase=12  ,	_lowerCAmelCase="relu"  ,	_lowerCAmelCase=0.0  ,	_lowerCAmelCase=0.0_2  ,	_lowerCAmelCase=True  ,	_lowerCAmelCase=1  ,	_lowerCAmelCase=2  ,	_lowerCAmelCase=2  ,	_lowerCAmelCase=True  ,	_lowerCAmelCase=True  ,	**_lowerCAmelCase  ,	):
            super().__init__(
                pad_token_id=_lowerCAmelCase  ,	bos_token_id=_lowerCAmelCase  ,	eos_token_id=_lowerCAmelCase  ,	**_lowerCAmelCase  ,	)
            UpperCAmelCase__			:     Optional[Any]										= vocab_size
            UpperCAmelCase__			:     Tuple										= max_position_embeddings
            UpperCAmelCase__			:     Optional[int]										= num_attention_heads
            UpperCAmelCase__			:     Optional[Any]										= word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
            UpperCAmelCase__			:     Any										= ffn_dim
            UpperCAmelCase__			:     int										= hidden_size
            UpperCAmelCase__			:     Union[str, Any]										= num_hidden_layers
            UpperCAmelCase__			:     int										= dropout
            UpperCAmelCase__			:     Any										= attention_dropout
            UpperCAmelCase__			:     Any										= activation_function
            UpperCAmelCase__			:     Optional[int]										= init_std
            UpperCAmelCase__			:     Any										= layerdrop
            UpperCAmelCase__			:     List[str]										= use_cache
            UpperCAmelCase__			:     List[str]										= do_layer_norm_before
            # We keep these variables at `True` for backward compatibility.
            UpperCAmelCase__			:     Dict										= enable_bias
            UpperCAmelCase__			:     Union[str, Any]										= layer_norm_elementwise_affine
  
            # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
            # with checkpoints that have been fine-tuned before transformers v4.20.1
            # see https://github.com/facebookresearch/metaseq/pull/164
            UpperCAmelCase__			:     str										= _remove_final_layer_norm
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     :
  
  
  
  
       def __init__(							self  ,	_lowerCAmelCase		):
            UpperCAmelCase__			:     List[Any]										= value
            UpperCAmelCase__			:     Node | None										= None
            UpperCAmelCase__			:     Node | None										= None
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     :
       __lowerCamelCase										=     42
  
  
  
  
       def __init__(							self		):
            UpperCAmelCase__			:     Any										= 0
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase		):
            if node is None:
                 return
  
            if path_sum == self.target:
                 self.paths += 1
  
            if node.left:
                 self.depth_first_search(node.left  ,	path_sum + node.left.value		)
            if node.right:
                 self.depth_first_search(node.right  ,	path_sum + node.right.value		)
  
  
  
  
       def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase  ,	_lowerCAmelCase = None		):
            if node is None:
                 return 0
            if target is not None:
                 UpperCAmelCase__			:     List[Any]										= target
  
            self.depth_first_search(_lowerCAmelCase  ,	node.value		)
            self.path_sum(node.left		)
            self.path_sum(node.right		)
  
            return self.paths
  
  
  if __name__ == "__main__":
        import doctest
  
        doctest.testmod()
  
  
  
  
  
  
  