





"""simple docstring"""





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


lowerCAmelCase__     			=			logging.get_logger(__name__)

lowerCAmelCase__     			=			{
    '''microsoft/table-transformer-detection''': (
        '''https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'''
    ),
}





class        _lowerCamelCase      (       _lowercase ):
						UpperCAmelCase_ =			"table-transformer"
						UpperCAmelCase_ =			["past_key_values"]
						UpperCAmelCase_ =			{
						    "hidden_size": "d_model",
						    "num_attention_heads": "encoder_attention_heads",
						}


						def __init__(self   ,							__a=True   ,							__a=None   ,							__a=3   ,							__a=1_00   ,							__a=6   ,							__a=20_48   ,							__a=8   ,							__a=6   ,							__a=20_48   ,							__a=8   ,							__a=0.0   ,							__a=0.0   ,							__a=True   ,							__a="relu"   ,							__a=2_56   ,							__a=0.1   ,							__a=0.0   ,							__a=0.0   ,							__a=0.02   ,							__a=1.0   ,							__a=False   ,							__a="sine"   ,							__a="resnet50"   ,							__a=True   ,							__a=False   ,							__a=1   ,							__a=5   ,							__a=2   ,							__a=1   ,							__a=1   ,							__a=5   ,							__a=2   ,							__a=0.1   ,							**__a   ,							) ->   List[Any]:
								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."		)
												UpperCamelCase   =	CONFIG_MAPPING["resnet"](out_features=["stage4"]		)
										elif isinstance(__a   ,							__a		):
												UpperCamelCase   =	backbone_config.get("model_type"		)
												UpperCamelCase   =	CONFIG_MAPPING[backbone_model_type]
												UpperCamelCase   =	config_class.from_dict(__a		)
										# set timm attributes to None
										UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   =	None, None, None

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


						@property
						def     snake_case_   (self		) ->   int:
								return self.encoder_attention_heads




						@property
						def     snake_case_   (self		) ->   int:
								return self.d_model





class        _lowerCamelCase      (       _lowercase ):
						UpperCAmelCase_ =			version.parse("1.11" )


						@property
						def     snake_case_   (self		) ->   Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
								        ("pixel_mask", {0: "batch"}),
								    ]		)


						@property
						def     snake_case_   (self		) ->   float:
								return 1e-5




						@property
						def     snake_case_   (self		) ->   int:
								return 12













"""simple docstring"""





def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		return number & 1 == 0


if __name__ == "__main__":
						import doctest

						doctest.testmod()






