


"""simple docstring"""






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


lowercase  		=			logging.get_logger(__name__)

lowercase  		=			{
    """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 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     Optional[int]				  =  '''opt'''
							__magic_name__					:     str				  =  ['''past_key_values''']




							def __init__(						self	,					lowerCamelCase__=50_272	,					lowerCamelCase__=768	,					lowerCamelCase__=12	,					lowerCamelCase__=3_072	,					lowerCamelCase__=2_048	,					lowerCamelCase__=True	,					lowerCamelCase__=False	,					lowerCamelCase__=None	,					lowerCamelCase__=0.1	,					lowerCamelCase__=0.0	,					lowerCamelCase__=12	,					lowerCamelCase__="relu"	,					lowerCamelCase__=0.0	,					lowerCamelCase__=0.02	,					lowerCamelCase__=True	,					lowerCamelCase__=1	,					lowerCamelCase__=2	,					lowerCamelCase__=2	,					lowerCamelCase__=True	,					lowerCamelCase__=True	,					**lowerCamelCase__	,					)   ->	Tuple:







								'''simple docstring'''




								super().__init__(
								    pad_token_id=lowerCamelCase__	,					bos_token_id=lowerCamelCase__	,					eos_token_id=lowerCamelCase__	,					**lowerCamelCase__	,					)
								snake_case__  :						Any		=      vocab_size
								snake_case__  :						Optional[Any]		=      max_position_embeddings
								snake_case__  :						Dict		=      num_attention_heads
								snake_case__  :						List[Any]		=      word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
								snake_case__  :						Any		=      ffn_dim
								snake_case__  :						List[Any]		=      hidden_size
								snake_case__  :						Union[str, Any]		=      num_hidden_layers
								snake_case__  :						Optional[Any]		=      dropout
								snake_case__  :						Optional[int]		=      attention_dropout
								snake_case__  :						Union[str, Any]		=      activation_function
								snake_case__  :						int		=      init_std
								snake_case__  :						Any		=      layerdrop
								snake_case__  :						Dict		=      use_cache
								snake_case__  :						int		=      do_layer_norm_before
								# We keep these variables at `True` for backward compatibility.
								snake_case__  :						Optional[Any]		=      enable_bias
								snake_case__  :						Dict		=      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
								snake_case__  :						Union[str, Any]		=      _remove_final_layer_norm













from __future__ import annotations




class 							__A	:





				"""simple docstring"""







				def __init__(					self				,    lowerCamelCase__ = 0       ):




									"""simple docstring"""

									__UpperCamelCase :   str									=value
									__UpperCamelCase :   Node | None									=None
									__UpperCamelCase :   Node | None									=None






def 				A	(			a_				,a_   )	->		Node | None:
					if treea is None:
										return treea
					if treea is None:
										return treea

					__UpperCamelCase :   Dict									=treea.value + treea.value
					__UpperCamelCase :   Any									=merge_two_binary_trees(treea.left				,treea.left   )
					__UpperCamelCase :   Union[str, Any]									=merge_two_binary_trees(treea.right				,treea.right   )
					return treea






def 				A	(			a_   )	->		None:
					if root:
										print(root.value   )
										print_preorder(root.left   )
										print_preorder(root.right   )


if __name__ == "__main__":
							A_			:List[str]	    =		Node(1)
							A_			:Dict	    =		Node(2)
							A_			:str	    =		Node(3)
							A_			:Union[str, Any]	    =		Node(4)

							A_			:Any	    =		Node(2)
							A_			:Tuple	    =		Node(4)
							A_			:Optional[Any]	    =		Node(6)
							A_			:Optional[Any]	    =		Node(9)
							A_			:str	    =		Node(5)

							print('''Tree1 is: ''')
							print_preorder(treea)
							print('''Tree2 is: ''')
							print_preorder(treea)
							A_			:Optional[Any]	    =		merge_two_binary_trees(treea, treea)
							print('''Merged Tree is: ''')
							print_preorder(merged_tree)

