



'''simple docstring'''






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


UpperCamelCase__:   List[Any]								=			logging.get_logger(__name__)

UpperCamelCase__:   List[Any]								=			{
    "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json",
}

class 				SCREAMING_SNAKE_CASE(							A__			):







	"""simple docstring"""






	lowerCamelCase__			 =       """lxmert"""
	lowerCamelCase__			 =       {}







	def __init__(						self			:     Tuple		,			__snake_case			:     int=30522		,			__snake_case			:     Union[str, Any]=768		,			__snake_case			:     List[str]=12		,			__snake_case			:     Any=9500		,			__snake_case			:     int=1600		,			__snake_case			:     Any=400		,			__snake_case			:     Dict=3072		,			__snake_case			:     int="gelu"		,			__snake_case			:     List[Any]=0.1		,			__snake_case			:     Any=0.1		,			__snake_case			:     Optional[Any]=512		,			__snake_case			:     str=2		,			__snake_case			:     Optional[Any]=0.02		,			__snake_case			:     Optional[Any]=1E-12		,			__snake_case			:     Dict=9		,			__snake_case			:     Any=5		,			__snake_case			:     int=5		,			__snake_case			:     Tuple=2048		,			__snake_case			:     Union[str, Any]=4		,			__snake_case			:     Optional[Any]=6.67		,			__snake_case			:     Optional[int]=True		,			__snake_case			:     str=True		,			__snake_case			:     List[Any]=True		,			__snake_case			:     List[Any]=True		,			__snake_case			:     int=True		,			__snake_case			:     Dict=True		,			__snake_case			:     int=True		,			**__snake_case			:     int		,			)			->		Optional[int]:
								UpperCAmelCase :       List[str] 							=		vocab_size
								UpperCAmelCase :       Optional[Any] 							=		hidden_size
								UpperCAmelCase :       Tuple 							=		num_attention_heads
								UpperCAmelCase :       List[str] 							=		hidden_act
								UpperCAmelCase :       Optional[Any] 							=		intermediate_size
								UpperCAmelCase :       Tuple 							=		hidden_dropout_prob
								UpperCAmelCase :       Dict 							=		attention_probs_dropout_prob
								UpperCAmelCase :       Tuple 							=		max_position_embeddings
								UpperCAmelCase :       str 							=		type_vocab_size
								UpperCAmelCase :       Dict 							=		initializer_range
								UpperCAmelCase :       List[Any] 							=		layer_norm_eps
								UpperCAmelCase :       List[Any] 							=		num_qa_labels
								UpperCAmelCase :       Optional[Any] 							=		num_object_labels
								UpperCAmelCase :       Optional[int] 							=		num_attr_labels
								UpperCAmelCase :       List[Any] 							=		l_layers
								UpperCAmelCase :       Optional[Any] 							=		x_layers
								UpperCAmelCase :       Optional[Any] 							=		r_layers
								UpperCAmelCase :       Union[str, Any] 							=		visual_feat_dim
								UpperCAmelCase :       Dict 							=		visual_pos_dim
								UpperCAmelCase :       Optional[int] 							=		visual_loss_normalizer
								UpperCAmelCase :       Any 							=		task_matched
								UpperCAmelCase :       List[Any] 							=		task_mask_lm
								UpperCAmelCase :       List[str] 							=		task_obj_predict
								UpperCAmelCase :       List[Any] 							=		task_qa
								UpperCAmelCase :       Any 							=		visual_obj_loss
								UpperCAmelCase :       Any 							=		visual_attr_loss
								UpperCAmelCase :       Dict 							=		visual_feat_loss
								UpperCAmelCase :       Union[str, Any] 							=		{'''vision''': r_layers, '''cross_encoder''': x_layers, '''language''': l_layers}
								super().__init__(**__snake_case		)










'''simple docstring'''






from __future__ import annotations


def  snake_case_     (					_lowerCAmelCase  :						list[int | float]   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int  )      ->   int | float:
							if len(_lowerCAmelCase  ) == 0:
														raise ValueError('''find_max() arg is an empty sequence'''  )
							if (
							    left >= len(_lowerCAmelCase  )
							    or left < -len(_lowerCAmelCase  )
							    or right >= len(_lowerCAmelCase  )
							    or right < -len(_lowerCAmelCase  )
							):
														raise IndexError('''list index out of range'''  )
							if left == right:
														return nums[left]
							UpperCAmelCase :       List[Any] 							=		(left + right) >> 1  # the middle
							UpperCAmelCase :       Optional[Any] 							=		find_max(_lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase  )  # find max in range[left, mid]
							UpperCAmelCase :       Dict 							=		find_max(_lowerCAmelCase   ,      mid + 1   ,      _lowerCAmelCase  )  # find max in range[mid + 1, right]

							return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)





