
import copy
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


UpperCAmelCase       =					logging.get_logger(__name__)

UpperCAmelCase       =					{
    '''microsoft/conditional-detr-resnet-50''': (
        '''https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json'''
    ),
}







class 			A_  (     __lowerCamelCase  ):




	'''simple docstring'''


	_UpperCamelCase	:	List[Any]									=			"""conditional_detr"""
	_UpperCamelCase	:	Any									=			["""past_key_values"""]
	_UpperCamelCase	:	Optional[Any]									=			{
	    """hidden_size""": """d_model""",
	    """num_attention_heads""": """encoder_attention_heads""",
	}





	def __init__(			self						,       snake_case=True						,       snake_case=None						,       snake_case=3						,       snake_case=300						,       snake_case=6						,       snake_case=2048						,       snake_case=8						,       snake_case=6						,       snake_case=2048						,       snake_case=8						,       snake_case=0.0						,       snake_case=0.0						,       snake_case=True						,       snake_case="relu"						,       snake_case=256						,       snake_case=0.1						,       snake_case=0.0						,       snake_case=0.0						,       snake_case=0.02						,       snake_case=1.0						,       snake_case=False						,       snake_case="sine"						,       snake_case="resnet50"						,       snake_case=True						,       snake_case=False						,       snake_case=2						,       snake_case=5						,       snake_case=2						,       snake_case=1						,       snake_case=1						,       snake_case=2						,       snake_case=5						,       snake_case=2						,       snake_case=0.25						,       **snake_case						,       ):
		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.'			)
				lowercase	    =       CONFIG_MAPPING['resnet'](out_features=['stage4']			)
			elif isinstance(snake_case						,       snake_case			):
				lowercase	    =       backbone_config.get('model_type'			)
				lowercase	    =       CONFIG_MAPPING[backbone_model_type]
				lowercase	    =       config_class.from_dict(snake_case			)

		lowercase	    =       use_timm_backbone
		lowercase	    =       backbone_config
		lowercase	    =       num_channels
		lowercase	    =       num_queries
		lowercase	    =       d_model
		lowercase	    =       encoder_ffn_dim
		lowercase	    =       encoder_layers
		lowercase	    =       encoder_attention_heads
		lowercase	    =       decoder_ffn_dim
		lowercase	    =       decoder_layers
		lowercase	    =       decoder_attention_heads
		lowercase	    =       dropout
		lowercase	    =       attention_dropout
		lowercase	    =       activation_dropout
		lowercase	    =       activation_function
		lowercase	    =       init_std
		lowercase	    =       init_xavier_std
		lowercase	    =       encoder_layerdrop
		lowercase	    =       decoder_layerdrop
		lowercase	    =       encoder_layers
		lowercase	    =       auxiliary_loss
		lowercase	    =       position_embedding_type
		lowercase	    =       backbone
		lowercase	    =       use_pretrained_backbone
		lowercase	    =       dilation
		# Hungarian matcher
		lowercase	    =       class_cost
		lowercase	    =       bbox_cost
		lowercase	    =       giou_cost
		# Loss coefficients
		lowercase	    =       mask_loss_coefficient
		lowercase	    =       dice_loss_coefficient
		lowercase	    =       cls_loss_coefficient
		lowercase	    =       bbox_loss_coefficient
		lowercase	    =       giou_loss_coefficient
		lowercase	    =       focal_alpha
		super().__init__(is_encoder_decoder=snake_case						,       **snake_case			)





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





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





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







class 			A_  (     __lowerCamelCase  ):




	'''simple docstring'''


	_UpperCamelCase	:	List[str]									=			version.parse("""1.11"""  )





	@property
	def       SCREAMING_SNAKE_CASE__		(			self			):
		return OrderedDict(
		    [
		        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
		        ('pixel_mask', {0: 'batch'}),
		    ]			)





	@property
	def       SCREAMING_SNAKE_CASE__		(			self			):
		return 1E-5





	@property
	def       SCREAMING_SNAKE_CASE__		(			self			):
		return 12





from __future__ import annotations

_lowerCAmelCase:						str   				=       '#'




class       lowercase_					:





				def __init__(				self)  -> None:
											a__      ={}





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> None:
											a__      =self._trie
											for char in text:
																		if char not in trie:
																									a__      ={}
																		a__      =trie[char]
											a__      =True





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> tuple | list:
											a__      =self._trie
											for char in prefix:
																		if char in trie:
																									a__      =trie[char]
																		else:
																									return []
											return self._elements(lowercase_)





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> tuple:
											a__      =[]
											for c, v in d.items():
																		a__      =[' '] if c == END else [(c + s) for s in self._elements(lowercase_)]
																		result.extend(lowercase_)
											return tuple(lowercase_)







_lowerCAmelCase:						Optional[int]   				=       Trie()
_lowerCAmelCase:						List[str]   				=       ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
	trie.insert_word(word)






def   _lowercase(					__a				:						str     ):
							a__      =trie.find_word(__a     )
							return tuple(string + word for word in suffixes     )






def   _lowercase(					):
							print(autocomplete_using_trie('de'     )     )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()

