
'''simple docstring'''



import copy

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


_lowercase    =		logging.get_logger(__name__)

_lowercase    =		{
    """SenseTime/deformable-detr""": """https://huggingface.co/sensetime/deformable-detr/resolve/main/config.json""",
    # See all Deformable DETR models at https://huggingface.co/models?filter=deformable-detr
}




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						_lowercase		:				List[Any]									=       '''deformable_detr'''
						_lowercase		:				List[Any]									=       {
						    '''hidden_size''': '''d_model''',
						    '''num_attention_heads''': '''encoder_attention_heads''',
						}




						def __init__( self   ,       _lowercase=True   ,       _lowercase=None   ,       _lowercase=3   ,       _lowercase=300   ,       _lowercase=1_024   ,       _lowercase=6   ,       _lowercase=1_024   ,       _lowercase=8   ,       _lowercase=6   ,       _lowercase=1_024   ,       _lowercase=8   ,       _lowercase=0.0   ,       _lowercase=True   ,       _lowercase="relu"   ,       _lowercase=256   ,       _lowercase=0.1   ,       _lowercase=0.0   ,       _lowercase=0.0   ,       _lowercase=0.02   ,       _lowercase=1.0   ,       _lowercase=True   ,       _lowercase=False   ,       _lowercase="sine"   ,       _lowercase="resnet50"   ,       _lowercase=True   ,       _lowercase=False   ,       _lowercase=4   ,       _lowercase=4   ,       _lowercase=4   ,       _lowercase=False   ,       _lowercase=300   ,       _lowercase=False   ,       _lowercase=1   ,       _lowercase=5   ,       _lowercase=2   ,       _lowercase=1   ,       _lowercase=1   ,       _lowercase=5   ,       _lowercase=2   ,       _lowercase=0.1   ,       _lowercase=0.25   ,       _lowercase=False   ,       **_lowercase   ,       ):

												"""simple docstring"""



												if backbone_config is not None and use_timm_backbone:
																		raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`."""				)

												if not use_timm_backbone:
																		if backbone_config is None:
																								logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""				)
																								_lowerCAmelCase  						=			CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]				)
																		elif isinstance(_lowercase   ,       _lowercase				):
																								_lowerCAmelCase  						=			backbone_config.get("""model_type"""				)
																								_lowerCAmelCase  						=			CONFIG_MAPPING[backbone_model_type]
																								_lowerCAmelCase  						=			config_class.from_dict(_lowercase				)
												_lowerCAmelCase  						=			use_timm_backbone
												_lowerCAmelCase  						=			backbone_config
												_lowerCAmelCase  						=			num_channels
												_lowerCAmelCase  						=			num_queries
												_lowerCAmelCase  						=			max_position_embeddings
												_lowerCAmelCase  						=			d_model
												_lowerCAmelCase  						=			encoder_ffn_dim
												_lowerCAmelCase  						=			encoder_layers
												_lowerCAmelCase  						=			encoder_attention_heads
												_lowerCAmelCase  						=			decoder_ffn_dim
												_lowerCAmelCase  						=			decoder_layers
												_lowerCAmelCase  						=			decoder_attention_heads
												_lowerCAmelCase  						=			dropout
												_lowerCAmelCase  						=			attention_dropout
												_lowerCAmelCase  						=			activation_dropout
												_lowerCAmelCase  						=			activation_function
												_lowerCAmelCase  						=			init_std
												_lowerCAmelCase  						=			init_xavier_std
												_lowerCAmelCase  						=			encoder_layerdrop
												_lowerCAmelCase  						=			auxiliary_loss
												_lowerCAmelCase  						=			position_embedding_type
												_lowerCAmelCase  						=			backbone
												_lowerCAmelCase  						=			use_pretrained_backbone
												_lowerCAmelCase  						=			dilation
												# deformable attributes
												_lowerCAmelCase  						=			num_feature_levels
												_lowerCAmelCase  						=			encoder_n_points
												_lowerCAmelCase  						=			decoder_n_points
												_lowerCAmelCase  						=			two_stage
												_lowerCAmelCase  						=			two_stage_num_proposals
												_lowerCAmelCase  						=			with_box_refine
												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
												_lowerCAmelCase  						=			class_cost
												_lowerCAmelCase  						=			bbox_cost
												_lowerCAmelCase  						=			giou_cost
												# Loss coefficients
												_lowerCAmelCase  						=			mask_loss_coefficient
												_lowerCAmelCase  						=			dice_loss_coefficient
												_lowerCAmelCase  						=			bbox_loss_coefficient
												_lowerCAmelCase  						=			giou_loss_coefficient
												_lowerCAmelCase  						=			eos_coefficient
												_lowerCAmelCase  						=			focal_alpha
												_lowerCAmelCase  						=			disable_custom_kernels
												super().__init__(is_encoder_decoder=_lowercase   ,       **_lowercase				)




						@property
						def  _lowercase     ( self				):

												"""simple docstring"""



												return self.encoder_attention_heads




						@property
						def  _lowercase     ( self				):

												"""simple docstring"""



												return self.d_model




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			copy.deepcopy(self.__dict__				)
												if self.backbone_config is not None:
																		_lowerCAmelCase  						=			self.backbone_config.to_dict()
												_lowerCAmelCase  						=			self.__class__.model_type
												return output


'''simple docstring'''



from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
_lowercase    =		10


def A				(__lowerCamelCase				:int			,     __lowerCamelCase				:int			,     __lowerCamelCase				:list[int]			,     __lowerCamelCase				:int		):
						for i in range(__lowerCamelCase			,     __lowerCamelCase		):
												if array[i] == target:
																		return i
						return -1


def A				(__lowerCamelCase				:list[int]			,     __lowerCamelCase				:int		):
						_lowerCAmelCase  						=			0
						_lowerCAmelCase  						=			len(__lowerCamelCase		)
						while left <= right:
												if right - left < precision:
																		return lin_search(__lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase		)

												_lowerCAmelCase  						=			(left + right) // 3 + 1
												_lowerCAmelCase  						=			2 * (left + right) // 3 + 1

												if array[one_third] == target:
																		return one_third
												elif array[two_third] == target:
																		return two_third

												elif target < array[one_third]:
																		_lowerCAmelCase  						=			one_third - 1
												elif array[two_third] < target:
																		_lowerCAmelCase  						=			two_third + 1

												else:
																		_lowerCAmelCase  						=			one_third + 1
																		_lowerCAmelCase  						=			two_third - 1
						else:
												return -1


def A				(__lowerCamelCase				:int			,     __lowerCamelCase				:int			,     __lowerCamelCase				:list[int]			,     __lowerCamelCase				:int		):
						if left < right:
												if right - left < precision:
																		return lin_search(__lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase		)
												_lowerCAmelCase  						=			(left + right) // 3 + 1
												_lowerCAmelCase  						=			2 * (left + right) // 3 + 1

												if array[one_third] == target:
																		return one_third
												elif array[two_third] == target:
																		return two_third

												elif target < array[one_third]:
																		return rec_ternary_search(__lowerCamelCase			,     one_third - 1			,     __lowerCamelCase			,     __lowerCamelCase		)
												elif array[two_third] < target:
																		return rec_ternary_search(two_third + 1			,     __lowerCamelCase			,     __lowerCamelCase			,     __lowerCamelCase		)
												else:
																		return rec_ternary_search(one_third + 1			,     two_third - 1			,     __lowerCamelCase			,     __lowerCamelCase		)
						else:
												return -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						_lowercase    =		input("""Enter numbers separated by comma:\n""").strip()
						_lowercase    =		[int(item.strip()) for item in user_input.split(""",""")]
						assert collection == sorted(collection), F"List must be ordered.\n{collection}."
						_lowercase    =		int(input("""Enter the number to be found in the list:\n""").strip())
						_lowercase    =		ite_ternary_search(collection, target)
						_lowercase    =		rec_ternary_search(0, len(collection) - 1, collection, target)
						if resulta != -1:
												print(F"""Iterative search: {target} found at positions: {resulta}""")
												print(F"""Recursive search: {target} found at positions: {resulta}""")
						else:
												print("""Not found""")
