





'''simple docstring'''


from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


_SCREAMING_SNAKE_CASE									=				{
    "susnato/ernie-m-base_pytorch": "https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json",
    "susnato/ernie-m-large_pytorch": "https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json",
}

class  lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase    :				int								=       "ernie_m"
 __lowerCamelCase    :				Dict[str, str]								=       {"dropout": "classifier_dropout", "num_classes": "num_labels"}




 def __init__(						self      ,  _lowerCAmelCase = 250002      ,  _lowerCAmelCase = 768      ,  _lowerCAmelCase = 12      ,  _lowerCAmelCase = 12      ,  _lowerCAmelCase = 3072      ,  _lowerCAmelCase = "gelu"      ,  _lowerCAmelCase = 0.1      ,  _lowerCAmelCase = 0.1      ,  _lowerCAmelCase = 514      ,  _lowerCAmelCase = 0.02      ,  _lowerCAmelCase = 1      ,  _lowerCAmelCase = 1E-05      ,  _lowerCAmelCase=None      ,  _lowerCAmelCase=False      ,  _lowerCAmelCase=0.0      ,  **_lowerCAmelCase      ,  )     ->				Union[str, Any]:
     super().__init__(pad_token_id=_lowerCAmelCase      ,  **_lowerCAmelCase		)
     _lowerCAmelCase						      =   vocab_size
     _lowerCAmelCase						      =   hidden_size
     _lowerCAmelCase						      =   num_hidden_layers
     _lowerCAmelCase						      =   num_attention_heads
     _lowerCAmelCase						      =   intermediate_size
     _lowerCAmelCase						      =   hidden_act
     _lowerCAmelCase						      =   hidden_dropout_prob
     _lowerCAmelCase						      =   attention_probs_dropout_prob
     _lowerCAmelCase						      =   max_position_embeddings
     _lowerCAmelCase						      =   initializer_range
     _lowerCAmelCase						      =   layer_norm_eps
     _lowerCAmelCase						      =   classifier_dropout
     _lowerCAmelCase						      =   is_decoder
     _lowerCAmelCase						      =   act_dropout








"""simple docstring"""






import re







def 	_snake_case     (							lowercase__						):

				if len(re.findall('[ATCG]'				,       lowercase__						)						) != len(lowercase__						):
								raise ValueError('Invalid Strand'						)

				return dna.translate(dna.maketrans('ATCG'				,       'TAGC'						)						)


if __name__ == "__main__":
			import doctest

			doctest.testmod()