






'''simple docstring'''







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


__lowerCAmelCase       		=      logging.get_logger(__name__)

__lowerCAmelCase       		=      {
    'uclanlp/visualbert-vqa': 'https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json',
    'uclanlp/visualbert-vqa-pre': 'https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json',
    'uclanlp/visualbert-vqa-coco-pre': (
        'https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json'
    ),
    'uclanlp/visualbert-vcr': 'https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json',
    'uclanlp/visualbert-vcr-pre': 'https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json',
    'uclanlp/visualbert-vcr-coco-pre': (
        'https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json'
    ),
    'uclanlp/visualbert-nlvr2': 'https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json',
    'uclanlp/visualbert-nlvr2-pre': 'https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json',
    'uclanlp/visualbert-nlvr2-coco-pre': (
        'https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json'
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}





class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				"visual_bert"






			def __init__( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			str=3_0522  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=768  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=512  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=12  ,						__SCREAMING_SNAKE_CASE      :			Dict=12  ,						__SCREAMING_SNAKE_CASE      :			List[Any]=3072  ,						__SCREAMING_SNAKE_CASE      :			List[Any]="gelu"  ,						__SCREAMING_SNAKE_CASE      :			Optional[int]=0.1  ,						__SCREAMING_SNAKE_CASE      :			Dict=0.1  ,						__SCREAMING_SNAKE_CASE      :			Optional[int]=512  ,						__SCREAMING_SNAKE_CASE      :			Union[str, Any]=2  ,						__SCREAMING_SNAKE_CASE      :			int=0.02  ,						__SCREAMING_SNAKE_CASE      :			Dict=1e-12  ,						__SCREAMING_SNAKE_CASE      :			int=False  ,						__SCREAMING_SNAKE_CASE      :			Dict=True  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]=1  ,						__SCREAMING_SNAKE_CASE      :			Dict=0  ,						__SCREAMING_SNAKE_CASE      :			List[Any]=2  ,						**__SCREAMING_SNAKE_CASE      :			int  ,						)			->			str:
							super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE  ,						bos_token_id=__SCREAMING_SNAKE_CASE  ,						eos_token_id=__SCREAMING_SNAKE_CASE  ,						**__SCREAMING_SNAKE_CASE					)

							a_		:  List[str]											=      vocab_size
							a_		:  Dict											=      max_position_embeddings
							a_		:  int											=      hidden_size
							a_		:  List[str]											=      visual_embedding_dim
							a_		:  str											=      num_hidden_layers
							a_		:  Dict											=      num_attention_heads
							a_		:  Dict											=      intermediate_size
							a_		:  Optional[int]											=      hidden_act
							a_		:  List[str]											=      hidden_dropout_prob
							a_		:  Optional[int]											=      attention_probs_dropout_prob
							a_		:  Optional[Any]											=      initializer_range
							a_		:  int											=      type_vocab_size
							a_		:  Union[str, Any]											=      layer_norm_eps
							a_		:  List[Any]											=      bypass_transformer
							a_		:  Union[str, Any]											=      special_visual_initialize












'''simple docstring'''







from __future__ import annotations





def 		_UpperCAmelCase   (							__A							:   list[int]      ):
				a_		:  int											=      len(__A      ) // 2

				# choose the middle 3 elements
				a_		:  Dict											=      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()




