


'''simple docstring'''






from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


__UpperCAmelCase       							=				{
    '''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 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  Dict      		= "ernie_m"
							lowercase__     :  Dict[str, str]      		= {"dropout": "classifier_dropout", "num_classes": "num_labels"}







							def __init__(						self   ,       lowerCamelCase_ = 25_00_02   ,       lowerCamelCase_ = 7_68   ,       lowerCamelCase_ = 12   ,       lowerCamelCase_ = 12   ,       lowerCamelCase_ = 30_72   ,       lowerCamelCase_ = "gelu"   ,       lowerCamelCase_ = 0.1   ,       lowerCamelCase_ = 0.1   ,       lowerCamelCase_ = 5_14   ,       lowerCamelCase_ = 0.02   ,       lowerCamelCase_ = 1   ,       lowerCamelCase_ = 1e-05   ,       lowerCamelCase_=None   ,       lowerCamelCase_=False   ,       lowerCamelCase_=0.0   ,       **lowerCamelCase_   ,       )			->				str:
														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'''






from __future__ import annotations

from random import choice


def    _snake_case  (	A			)		->       int:
							return choice(A			)


def    _snake_case  (	A					,       A			)		->       int:
							lowerCAmelCase__			  =      random_pivot(A			)

							# partition based on pivot
							# linear time
							lowerCAmelCase__			  =      [e for e in lst if e < pivot]
							lowerCAmelCase__			  =      [e for e in lst if e > pivot]

							# if we get lucky, pivot might be the element we want.
							# we can easily see this:
							# small (elements smaller than k)
							# + pivot (kth element)
							# + big (elements larger than k)
							if len(A			) == k - 1:
														return pivot
							# pivot is in elements bigger than k
							elif len(A			) < k - 1:
														return kth_number(A					,       k - len(A			) - 1			)
							# pivot is in elements smaller than k
							else:
														return kth_number(A					,       A			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()