
'''simple docstring'''







import copy

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


lowercase    :							List[str]      =					logging.get_logger(__name__)

lowercase    :							str      =					{
    "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      (					_lowerCamelCase						):
							__lowercase      		=       """deformable_detr"""
							__lowercase      		=       {
							    """hidden_size""": """d_model""",
							    """num_attention_heads""": """encoder_attention_heads""",
							}


							def __init__(       self    ,   lowerCAmelCase_=True    ,   lowerCAmelCase_=None    ,   lowerCAmelCase_=3    ,   lowerCAmelCase_=3_00    ,   lowerCAmelCase_=10_24    ,   lowerCAmelCase_=6    ,   lowerCAmelCase_=10_24    ,   lowerCAmelCase_=8    ,   lowerCAmelCase_=6    ,   lowerCAmelCase_=10_24    ,   lowerCAmelCase_=8    ,   lowerCAmelCase_=0.0    ,   lowerCAmelCase_=True    ,   lowerCAmelCase_="relu"    ,   lowerCAmelCase_=2_56    ,   lowerCAmelCase_=0.1    ,   lowerCAmelCase_=0.0    ,   lowerCAmelCase_=0.0    ,   lowerCAmelCase_=0.02    ,   lowerCAmelCase_=1.0    ,   lowerCAmelCase_=True    ,   lowerCAmelCase_=False    ,   lowerCAmelCase_="sine"    ,   lowerCAmelCase_="resnet50"    ,   lowerCAmelCase_=True    ,   lowerCAmelCase_=False    ,   lowerCAmelCase_=4    ,   lowerCAmelCase_=4    ,   lowerCAmelCase_=4    ,   lowerCAmelCase_=False    ,   lowerCAmelCase_=3_00    ,   lowerCAmelCase_=False    ,   lowerCAmelCase_=1    ,   lowerCAmelCase_=5    ,   lowerCAmelCase_=2    ,   lowerCAmelCase_=1    ,   lowerCAmelCase_=1    ,   lowerCAmelCase_=5    ,   lowerCAmelCase_=2    ,   lowerCAmelCase_=0.1    ,   lowerCAmelCase_=0.25    ,   lowerCAmelCase_=False    ,   **lowerCAmelCase_    ,   ):





								"""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.'  )
										_snake_case   						=		CONFIG_MAPPING['resnet'](out_features=['stage4']  )
									elif isinstance(lowerCAmelCase_    ,   lowerCAmelCase_  ):
										_snake_case   						=		backbone_config.get('model_type'  )
										_snake_case   						=		CONFIG_MAPPING[backbone_model_type]
										_snake_case   						=		config_class.from_dict(lowerCAmelCase_  )
								_snake_case   						=		use_timm_backbone
								_snake_case   						=		backbone_config
								_snake_case   						=		num_channels
								_snake_case   						=		num_queries
								_snake_case   						=		max_position_embeddings
								_snake_case   						=		d_model
								_snake_case   						=		encoder_ffn_dim
								_snake_case   						=		encoder_layers
								_snake_case   						=		encoder_attention_heads
								_snake_case   						=		decoder_ffn_dim
								_snake_case   						=		decoder_layers
								_snake_case   						=		decoder_attention_heads
								_snake_case   						=		dropout
								_snake_case   						=		attention_dropout
								_snake_case   						=		activation_dropout
								_snake_case   						=		activation_function
								_snake_case   						=		init_std
								_snake_case   						=		init_xavier_std
								_snake_case   						=		encoder_layerdrop
								_snake_case   						=		auxiliary_loss
								_snake_case   						=		position_embedding_type
								_snake_case   						=		backbone
								_snake_case   						=		use_pretrained_backbone
								_snake_case   						=		dilation
								# deformable attributes
								_snake_case   						=		num_feature_levels
								_snake_case   						=		encoder_n_points
								_snake_case   						=		decoder_n_points
								_snake_case   						=		two_stage
								_snake_case   						=		two_stage_num_proposals
								_snake_case   						=		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
								_snake_case   						=		class_cost
								_snake_case   						=		bbox_cost
								_snake_case   						=		giou_cost
								# Loss coefficients
								_snake_case   						=		mask_loss_coefficient
								_snake_case   						=		dice_loss_coefficient
								_snake_case   						=		bbox_loss_coefficient
								_snake_case   						=		giou_loss_coefficient
								_snake_case   						=		eos_coefficient
								_snake_case   						=		focal_alpha
								_snake_case   						=		disable_custom_kernels
								super().__init__(is_encoder_decoder=lowerCAmelCase_    ,   **lowerCAmelCase_  )


							@property
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								return self.encoder_attention_heads


							@property
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								return self.d_model




							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






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





"""simple docstring"""




from __future__ import annotations


def     lowercase			(SCREAMING_SNAKE_CASE_		:				str  )   ->						list[int]:
						return [ord(SCREAMING_SNAKE_CASE_  ) - 96 for elem in plain]


def     lowercase			(SCREAMING_SNAKE_CASE_		:				list[int]  )   ->						str:
						return "".join(chr(elem + 96  ) for elem in encoded  )


def     lowercase			()   ->						None:
						SCREAMING_SNAKE_CASE													=					encode(input('-> '  ).strip().lower()  )
						print('Encoded: ' ,			SCREAMING_SNAKE_CASE_  )
						print('Decoded:' ,			decode(SCREAMING_SNAKE_CASE_  )  )


if __name__ == "__main__":
	main()


