





'''simple docstring'''





from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


A_												=     {
    "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 SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    "ernie_m"
					A__				 =    {"dropout": "classifier_dropout", "num_classes": "num_labels"}





					def __init__( self	,  _lowerCAmelCase = 25_0002	,  _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	,  ):
										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








def    __UpperCamelCase      (    a = 100) ->int:
					lowerCamelCase__       =       (n * (n + 1) // 2) ** 2
					lowerCamelCase__       =       n * (n + 1) * (2 * n + 1) // 6
					return sum_cubes - sum_squares


if __name__ == "__main__":
						print(f"""{solution() = }""")

