
from __future__ import annotations

class 				_UpperCamelCase :






			'''simple docstring'''

			def __init__(				self       :				Dict  ,		snake_case_       :				int = 0					):
							UpperCamelCase_:							Optional[Any]		=  value
							UpperCamelCase_:							Node | None		=  None
							UpperCamelCase_:							Node | None		=  None







def 				A__    (  lowerCamelCase   ,			lowerCamelCase  )     ->		Node | None:
				if treea is None:
								return treea
				if treea is None:
								return treea

				UpperCamelCase_:							Tuple		=  treea.value + treea.value
				UpperCamelCase_:							List[Any]		=  merge_two_binary_trees(treea.left   ,			treea.left  )
				UpperCamelCase_:							Dict		=  merge_two_binary_trees(treea.right   ,			treea.right  )
				return treea







def 				A__    (  lowerCamelCase  )     ->		None:
				if root:
								print(root.value  )
								print_preorder(root.left  )
								print_preorder(root.right  )


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

							lowerCamelCase_  :       List[Any]					      =     Node(2)
							lowerCamelCase_  :       Tuple					      =     Node(4)
							lowerCamelCase_  :       int					      =     Node(6)
							lowerCamelCase_  :       Union[str, Any]					      =     Node(9)
							lowerCamelCase_  :       Optional[Any]					      =     Node(5)

							print("""Tree1 is: """)
							print_preorder(treea)
							print("""Tree2 is: """)
							print_preorder(treea)
							lowerCamelCase_  :       Union[str, Any]					      =     merge_two_binary_trees(treea, treea)
							print("""Merged Tree is: """)
							print_preorder(merged_tree)














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


__A          = logging.get_logger(__name__)

__A          = {
    'uw-madison/nystromformer-512': 'https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							A_       =    "nystromformer"

							def __init__(     self:      List[str]						,   __A:      Dict=3_00_00						,   __A:      int=7_68						,   __A:      int=12						,   __A:      Union[str, Any]=12						,   __A:      List[str]=30_72						,   __A:      Tuple="gelu_new"						,   __A:      Optional[Any]=0.1						,   __A:      Union[str, Any]=0.1						,   __A:      int=5_10						,   __A:      List[Any]=2						,   __A:      List[Any]=64						,   __A:      Optional[Any]=64						,   __A:      str=65						,   __A:      List[str]=False						,   __A:      Tuple=0.02						,   __A:      Dict=1e-5						,   __A:      int=1						,   __A:      str=0						,   __A:      int=2						,   **__A:      Union[str, Any]						,   )			-> int:
												_A									=       vocab_size
												_A									=       max_position_embeddings
												_A									=       hidden_size
												_A									=       num_hidden_layers
												_A									=       num_attention_heads
												_A									=       intermediate_size
												_A									=       hidden_act
												_A									=       hidden_dropout_prob
												_A									=       attention_probs_dropout_prob
												_A									=       initializer_range
												_A									=       type_vocab_size
												_A									=       segment_means_seq_len
												_A									=       num_landmarks
												_A									=       conv_kernel_size
												_A									=       inv_coeff_init_option
												_A									=       layer_norm_eps
												super().__init__(pad_token_id=__A						,   bos_token_id=__A						,   eos_token_id=__A						,   **__A      )



