


'''simple docstring'''
from __future__ import annotations


def       a				(      __a       )  ->     int:



					'''simple docstring'''






					UpperCamelCase__       :str							 =			len(__a       ) // 2

					# choose the middle 3 elements
					UpperCamelCase__       :str							 =			lst[m - 1 : m + 2]

					# if middle element is peak
					if three[1] > three[0] and three[1] > three[2]:
										return three[1]

					# if increasing, recurse on right
					elif three[0] < three[2]:
										if len(lst[:m]       ) == 2:
															m -= 1
										return peak(lst[m:]       )

					# decreasing
					else:
										if len(lst[:m]       ) == 2:
															m += 1
										return peak(lst[:m]       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



'''simple docstring'''
import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case											=					logging.getLogger(__name__)
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    'masked_bert'




		def __init__(		self   ,       UpperCamelCase_=30522   ,       UpperCamelCase_=768   ,       UpperCamelCase_=12   ,       UpperCamelCase_=12   ,       UpperCamelCase_=3072   ,       UpperCamelCase_="gelu"   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=0.1   ,       UpperCamelCase_=512   ,       UpperCamelCase_=2   ,       UpperCamelCase_=0.02   ,       UpperCamelCase_=1e-12   ,       UpperCamelCase_=0   ,       UpperCamelCase_="topK"   ,       UpperCamelCase_="constant"   ,       UpperCamelCase_=0.0   ,       **UpperCamelCase_   ,       ):

							'''simple docstring'''


							super().__init__(pad_token_id=UpperCamelCase_   ,       **UpperCamelCase_							)

							UpperCamelCase__       :Tuple							 =			vocab_size
							UpperCamelCase__       :Dict							 =			hidden_size
							UpperCamelCase__       :Optional[int]							 =			num_hidden_layers
							UpperCamelCase__       :Any							 =			num_attention_heads
							UpperCamelCase__       :Optional[Any]							 =			hidden_act
							UpperCamelCase__       :str							 =			intermediate_size
							UpperCamelCase__       :List[Any]							 =			hidden_dropout_prob
							UpperCamelCase__       :List[str]							 =			attention_probs_dropout_prob
							UpperCamelCase__       :List[Any]							 =			max_position_embeddings
							UpperCamelCase__       :int							 =			type_vocab_size
							UpperCamelCase__       :List[Any]							 =			initializer_range
							UpperCamelCase__       :Any							 =			layer_norm_eps
							UpperCamelCase__       :str							 =			pruning_method
							UpperCamelCase__       :int							 =			mask_init
							UpperCamelCase__       :Optional[Any]							 =			mask_scale