

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


SCREAMING_SNAKE_CASE						:Any      =			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:Any      =			{
    """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 		__magic_name__ (				snake_case							):
     UpperCamelCase_     :Optional[Any]									=	"""nystromformer"""






     def __init__(							self						,		_lowercase=30_000						,		_lowercase=768						,		_lowercase=12						,		_lowercase=12						,		_lowercase=3_072						,		_lowercase="gelu_new"						,		_lowercase=0.1						,		_lowercase=0.1						,		_lowercase=510						,		_lowercase=2						,		_lowercase=64						,		_lowercase=64						,		_lowercase=65						,		_lowercase=False						,		_lowercase=0.02						,		_lowercase=1e-5						,		_lowercase=1						,		_lowercase=0						,		_lowercase=2						,		**_lowercase						,		)->			Union[str, Any]:
         UpperCamelCase_          =		vocab_size
         UpperCamelCase_          =		max_position_embeddings
         UpperCamelCase_          =		hidden_size
         UpperCamelCase_          =		num_hidden_layers
         UpperCamelCase_          =		num_attention_heads
         UpperCamelCase_          =		intermediate_size
         UpperCamelCase_          =		hidden_act
         UpperCamelCase_          =		hidden_dropout_prob
         UpperCamelCase_          =		attention_probs_dropout_prob
         UpperCamelCase_          =		initializer_range
         UpperCamelCase_          =		type_vocab_size
         UpperCamelCase_          =		segment_means_seq_len
         UpperCamelCase_          =		num_landmarks
         UpperCamelCase_          =		conv_kernel_size
         UpperCamelCase_          =		inv_coeff_init_option
         UpperCamelCase_          =		layer_norm_eps
         super().__init__(pad_token_id=_lowercase						,		bos_token_id=_lowercase						,		eos_token_id=_lowercase						,		**_lowercase     )



def        lowerCAmelCase(	SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_       )->		Tuple:



    """simple docstring"""






    if not root or root not in binary_tree_mirror_dictionary:
        return
    UpperCamelCase_   ,    UpperCamelCase_          =		binary_tree_mirror_dictionary[root][:2]
    UpperCamelCase_          =		[right_child, left_child]
    binary_tree_mirror_dict(SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_       )
    binary_tree_mirror_dict(SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_       )




def        lowerCAmelCase(	SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_ = 1       )->		dict:



    """simple docstring"""






    if not binary_tree:
        raise ValueError("binary tree cannot be empty"       )
    if root not in binary_tree:
        UpperCamelCase_          =		f"root {root} is not present in the binary_tree"
        raise ValueError(SCREAMING_SNAKE_CASE_       )
    UpperCamelCase_          =		dict(SCREAMING_SNAKE_CASE_       )
    binary_tree_mirror_dict(SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_       )
    return binary_tree_mirror_dictionary


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