





'''simple docstring'''





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


A_												=     logging.get_logger(__name__)

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

class SCREAMING_SNAKE_CASE_ (					__UpperCAmelCase   ):





					"""simple docstring"""


					A__				 =    '''conditional_detr'''
					A__				 =    ['''past_key_values''']
					A__				 =    {
					    '''hidden_size''': '''d_model''',
					    '''num_attention_heads''': '''encoder_attention_heads''',
					}





					def __init__( self	,  _lowerCAmelCase=True	,  _lowerCAmelCase=None	,  _lowerCAmelCase=3	,  _lowerCAmelCase=300	,  _lowerCAmelCase=6	,  _lowerCAmelCase=2048	,  _lowerCAmelCase=8	,  _lowerCAmelCase=6	,  _lowerCAmelCase=2048	,  _lowerCAmelCase=8	,  _lowerCAmelCase=0.0	,  _lowerCAmelCase=0.0	,  _lowerCAmelCase=True	,  _lowerCAmelCase="relu"	,  _lowerCAmelCase=256	,  _lowerCAmelCase=0.1	,  _lowerCAmelCase=0.0	,  _lowerCAmelCase=0.0	,  _lowerCAmelCase=0.02	,  _lowerCAmelCase=1.0	,  _lowerCAmelCase=False	,  _lowerCAmelCase="sine"	,  _lowerCAmelCase="resnet50"	,  _lowerCAmelCase=True	,  _lowerCAmelCase=False	,  _lowerCAmelCase=2	,  _lowerCAmelCase=5	,  _lowerCAmelCase=2	,  _lowerCAmelCase=1	,  _lowerCAmelCase=1	,  _lowerCAmelCase=2	,  _lowerCAmelCase=5	,  _lowerCAmelCase=2	,  _lowerCAmelCase=0.25	,  **_lowerCAmelCase	,  ):

										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(__SCREAMING_SNAKE_CASE	,  __SCREAMING_SNAKE_CASE	):
																				lowerCamelCase__       =       backbone_config.get("model_type"	)
																				lowerCamelCase__       =       CONFIG_MAPPING[backbone_model_type]
																				lowerCamelCase__       =       config_class.from_dict(__SCREAMING_SNAKE_CASE	)

										lowerCamelCase__       =       use_timm_backbone
										lowerCamelCase__       =       backbone_config
										lowerCamelCase__       =       num_channels
										lowerCamelCase__       =       num_queries
										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__       =       decoder_layerdrop
										lowerCamelCase__       =       encoder_layers
										lowerCamelCase__       =       auxiliary_loss
										lowerCamelCase__       =       position_embedding_type
										lowerCamelCase__       =       backbone
										lowerCamelCase__       =       use_pretrained_backbone
										lowerCamelCase__       =       dilation
										# Hungarian matcher
										lowerCamelCase__       =       class_cost
										lowerCamelCase__       =       bbox_cost
										lowerCamelCase__       =       giou_cost
										# Loss coefficients
										lowerCamelCase__       =       mask_loss_coefficient
										lowerCamelCase__       =       dice_loss_coefficient
										lowerCamelCase__       =       cls_loss_coefficient
										lowerCamelCase__       =       bbox_loss_coefficient
										lowerCamelCase__       =       giou_loss_coefficient
										lowerCamelCase__       =       focal_alpha
										super().__init__(is_encoder_decoder=__SCREAMING_SNAKE_CASE	,  **__SCREAMING_SNAKE_CASE	)





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





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






					def 					__magic_name__ ( self	):
										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

class SCREAMING_SNAKE_CASE_ (					__UpperCAmelCase   ):





					"""simple docstring"""


					A__				 =    version.parse("1.11"   )





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





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






					@property
					def 					__magic_name__ ( self	):
										return 12








def    __UpperCamelCase      (    a) ->str:

					if isinstance(a,     a):
										raise TypeError("'float' object cannot be interpreted as an integer")
					if isinstance(a,     a):
										raise TypeError("'str' object cannot be interpreted as an integer")

					if num == 0:
										return "0b0"

					lowerCamelCase__       =       False

					if num < 0:
										lowerCamelCase__       =       True
										lowerCamelCase__       =       -num

					lowerCamelCase__       =       []
					while num > 0:
										binary.insert(0,     num % 2)
										num >>= 1

					if negative:
										return "-0b" + "".join(str(a) for e in binary)

					return "0b" + "".join(str(a) for e in binary)


if __name__ == "__main__":
						import doctest

						doctest.testmod()

