






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


SCREAMING_SNAKE_CASE								=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE								=  {
    '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 							A_      (  __lowercase     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     Optional[Any]	=   "nystromformer"


 def __init__(		self							,					_A=30000							,					_A=768							,					_A=12							,					_A=12							,					_A=3072							,					_A="gelu_new"							,					_A=0.1							,					_A=0.1							,					_A=510							,					_A=2							,					_A=64							,					_A=64							,					_A=65							,					_A=False							,					_A=0.02							,					_A=1e-5							,					_A=1							,					_A=0							,					_A=2							,					**_A							,					)	->						str:

     """simple docstring"""



     _UpperCAmelCase			: Optional[int]     					=			vocab_size
     _UpperCAmelCase			: Tuple     					=			max_position_embeddings
     _UpperCAmelCase			: Any     					=			hidden_size
     _UpperCAmelCase			: List[Any]     					=			num_hidden_layers
     _UpperCAmelCase			: Union[str, Any]     					=			num_attention_heads
     _UpperCAmelCase			: Optional[int]     					=			intermediate_size
     _UpperCAmelCase			: int     					=			hidden_act
     _UpperCAmelCase			: Any     					=			hidden_dropout_prob
     _UpperCAmelCase			: str     					=			attention_probs_dropout_prob
     _UpperCAmelCase			: Tuple     					=			initializer_range
     _UpperCAmelCase			: str     					=			type_vocab_size
     _UpperCAmelCase			: Optional[int]     					=			segment_means_seq_len
     _UpperCAmelCase			: str     					=			num_landmarks
     _UpperCAmelCase			: Any     					=			conv_kernel_size
     _UpperCAmelCase			: List[Any]     					=			inv_coeff_init_option
     _UpperCAmelCase			: Union[str, Any]     					=			layer_norm_eps
     super().__init__(pad_token_id=_A							,					bos_token_id=_A							,					eos_token_id=_A							,					**_A)












def        _lowerCamelCase		(  __A      :							dict						,						__A      :							int	) ->   str:
    if not root or root not in binary_tree_mirror_dictionary:
        return
    _UpperCAmelCase					,	_UpperCAmelCase			: int     					=			binary_tree_mirror_dictionary[root][:2]
    _UpperCAmelCase			: int     					=			[right_child, left_child]
    binary_tree_mirror_dict(__A						,						__A	)
    binary_tree_mirror_dict(__A						,						__A	)

def        _lowerCamelCase		(  __A      :							dict						,						__A      :							int = 1	) ->   dict:
    if not binary_tree:
        raise ValueError('''binary tree cannot be empty'''	)
    if root not in binary_tree:
        _UpperCAmelCase			: Dict     					=			f'''root {root} is not present in the binary_tree'''
        raise ValueError(__A	)
    _UpperCAmelCase			: int     					=			dict(__A	)
    binary_tree_mirror_dict(__A						,						__A	)
    return binary_tree_mirror_dictionary


if __name__ == "__main__":
  SCREAMING_SNAKE_CASE								=  {1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
  print(F'Binary tree: {binary_tree}')
  SCREAMING_SNAKE_CASE								=  binary_tree_mirror(binary_tree, 5)
  print(F'Binary tree mirror: {binary_tree_mirror_dictionary}')




