
"""simple docstring"""





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


__magic_name__       =			logging.get_logger(__name__)

__magic_name__       =			{
    "ut/deta": "https://huggingface.co/ut/deta/resolve/main/config.json",
}
class 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





		__lowercase							:  Tuple						   =		'''deta'''
		__lowercase							:  Union[str, Any]						   =		{
		    '''hidden_size''': '''d_model''',
		    '''num_attention_heads''': '''encoder_attention_heads''',
		}




		def __init__(     self							,  lowerCAmelCase__=None							,  lowerCAmelCase__=9_0_0							,  lowerCAmelCase__=2_0_4_8							,  lowerCAmelCase__=6							,  lowerCAmelCase__=2_0_4_8							,  lowerCAmelCase__=8							,  lowerCAmelCase__=6							,  lowerCAmelCase__=1_0_2_4							,  lowerCAmelCase__=8							,  lowerCAmelCase__=0.0							,  lowerCAmelCase__=True							,  lowerCAmelCase__="relu"							,  lowerCAmelCase__=2_5_6							,  lowerCAmelCase__=0.1							,  lowerCAmelCase__=0.0							,  lowerCAmelCase__=0.0							,  lowerCAmelCase__=0.02							,  lowerCAmelCase__=1.0							,  lowerCAmelCase__=True							,  lowerCAmelCase__=False							,  lowerCAmelCase__="sine"							,  lowerCAmelCase__=5							,  lowerCAmelCase__=4							,  lowerCAmelCase__=4							,  lowerCAmelCase__=True							,  lowerCAmelCase__=3_0_0							,  lowerCAmelCase__=True							,  lowerCAmelCase__=True							,  lowerCAmelCase__=1							,  lowerCAmelCase__=5							,  lowerCAmelCase__=2							,  lowerCAmelCase__=1							,  lowerCAmelCase__=1							,  lowerCAmelCase__=5							,  lowerCAmelCase__=2							,  lowerCAmelCase__=0.1							,  lowerCAmelCase__=0.25							,  **lowerCAmelCase__							,  ):
				if backbone_config is None:
						logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.""")
						__SCREAMING_SNAKE_CASE            = CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""])
				else:
						if isinstance(lowerCAmelCase__							,  lowerCAmelCase__):
								__SCREAMING_SNAKE_CASE            = backbone_config.pop("""model_type""")
								__SCREAMING_SNAKE_CASE            = CONFIG_MAPPING[backbone_model_type]
								__SCREAMING_SNAKE_CASE            = config_class.from_dict(lowerCAmelCase__)

				__SCREAMING_SNAKE_CASE            = backbone_config
				__SCREAMING_SNAKE_CASE            = num_queries
				__SCREAMING_SNAKE_CASE            = max_position_embeddings
				__SCREAMING_SNAKE_CASE            = d_model
				__SCREAMING_SNAKE_CASE            = encoder_ffn_dim
				__SCREAMING_SNAKE_CASE            = encoder_layers
				__SCREAMING_SNAKE_CASE            = encoder_attention_heads
				__SCREAMING_SNAKE_CASE            = decoder_ffn_dim
				__SCREAMING_SNAKE_CASE            = decoder_layers
				__SCREAMING_SNAKE_CASE            = decoder_attention_heads
				__SCREAMING_SNAKE_CASE            = dropout
				__SCREAMING_SNAKE_CASE            = attention_dropout
				__SCREAMING_SNAKE_CASE            = activation_dropout
				__SCREAMING_SNAKE_CASE            = activation_function
				__SCREAMING_SNAKE_CASE            = init_std
				__SCREAMING_SNAKE_CASE            = init_xavier_std
				__SCREAMING_SNAKE_CASE            = encoder_layerdrop
				__SCREAMING_SNAKE_CASE            = auxiliary_loss
				__SCREAMING_SNAKE_CASE            = position_embedding_type
				# deformable attributes
				__SCREAMING_SNAKE_CASE            = num_feature_levels
				__SCREAMING_SNAKE_CASE            = encoder_n_points
				__SCREAMING_SNAKE_CASE            = decoder_n_points
				__SCREAMING_SNAKE_CASE            = two_stage
				__SCREAMING_SNAKE_CASE            = two_stage_num_proposals
				__SCREAMING_SNAKE_CASE            = with_box_refine
				__SCREAMING_SNAKE_CASE            = assign_first_stage
				if two_stage is True and with_box_refine is False:
						raise ValueError("""If two_stage is True, with_box_refine must be True.""")
				# Hungarian matcher
				__SCREAMING_SNAKE_CASE            = class_cost
				__SCREAMING_SNAKE_CASE            = bbox_cost
				__SCREAMING_SNAKE_CASE            = giou_cost
				# Loss coefficients
				__SCREAMING_SNAKE_CASE            = mask_loss_coefficient
				__SCREAMING_SNAKE_CASE            = dice_loss_coefficient
				__SCREAMING_SNAKE_CASE            = bbox_loss_coefficient
				__SCREAMING_SNAKE_CASE            = giou_loss_coefficient
				__SCREAMING_SNAKE_CASE            = eos_coefficient
				__SCREAMING_SNAKE_CASE            = focal_alpha
				super().__init__(is_encoder_decoder=lowerCAmelCase__							,  **lowerCAmelCase__)




		@property
		def 	snake_case_     (     self):
				return self.encoder_attention_heads




		@property
		def 	snake_case_     (     self):
				return self.d_model




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = copy.deepcopy(self.__dict__)
				__SCREAMING_SNAKE_CASE            = self.backbone_config.to_dict()
				__SCREAMING_SNAKE_CASE            = self.__class__.model_type
				return output






"""simple docstring"""





from __future__ import annotations

__magic_name__       =			[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
__magic_name__       =			[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]



def 						_lowerCAmelCase				(				UpperCamelCase_				):
		__SCREAMING_SNAKE_CASE            = []
		__SCREAMING_SNAKE_CASE            = len(UpperCamelCase_				)

		for i in range(UpperCamelCase_				):
				__SCREAMING_SNAKE_CASE            = -1
				for j in range(i + 1  ,				UpperCamelCase_				):
						if arr[i] < arr[j]:
								__SCREAMING_SNAKE_CASE            = arr[j]
								break
				result.append(UpperCamelCase_				)
		return result



def 						_lowerCAmelCase				(				UpperCamelCase_				):
		__SCREAMING_SNAKE_CASE            = []
		for i, outer in enumerate(UpperCamelCase_				):
				__SCREAMING_SNAKE_CASE            = -1
				for inner in arr[i + 1 :]:
						if outer < inner:
								__SCREAMING_SNAKE_CASE            = inner
								break
				result.append(UpperCamelCase_				)
		return result



def 						_lowerCAmelCase				(				UpperCamelCase_				):
		__SCREAMING_SNAKE_CASE            = len(UpperCamelCase_				)
		__SCREAMING_SNAKE_CASE            = []
		__SCREAMING_SNAKE_CASE            = [-1] * arr_size

		for index in reversed(range(UpperCamelCase_				)				):
				if stack:
						while stack[-1] <= arr[index]:
								stack.pop()
								if not stack:
										break
				if stack:
						__SCREAMING_SNAKE_CASE            = stack[-1]
				stack.append(arr[index]				)
		return result


if __name__ == "__main__":
							from doctest import testmod
							from timeit import timeit

							testmod()
							print(next_greatest_element_slow(arr))
							print(next_greatest_element_fast(arr))
							print(next_greatest_element(arr))

							__magic_name__       =			(
							    "from __main__ import arr, next_greatest_element_slow, "
							    "next_greatest_element_fast, next_greatest_element"
							)
							print(
							    "next_greatest_element_slow():",
							    timeit("next_greatest_element_slow(arr)", setup=setup),
							)
							print(
							    "next_greatest_element_fast():",
							    timeit("next_greatest_element_fast(arr)", setup=setup),
							)
							print(
							    "     next_greatest_element():",
							    timeit("next_greatest_element(arr)", setup=setup),
							)




