






"""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     :   Union[str, Any]         =							logging.get_logger(__name__)

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



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Tuple    =				'''table-transformer'''
	_A       :				Optional[int]    =				['''past_key_values''']
	_A       :				List[Any]    =				{
	    '''hidden_size''': '''d_model''',
	    '''num_attention_heads''': '''encoder_attention_heads''',
	}





	def __init__(self     ,     lowerCAmelCase_=True     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=3     ,     lowerCAmelCase_=100     ,     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_=1     ,     lowerCAmelCase_=5     ,     lowerCAmelCase_=2     ,     lowerCAmelCase_=1     ,     lowerCAmelCase_=1     ,     lowerCAmelCase_=5     ,     lowerCAmelCase_=2     ,     lowerCAmelCase_=0.1     ,     **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."""							)
				A_		:						Dict	    =   CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]							)
			elif isinstance(A__     ,     A__							):
				A_		:						Any	    =   backbone_config.get("""model_type"""							)
				A_		:						int	    =   CONFIG_MAPPING[backbone_model_type]
				A_		:						str	    =   config_class.from_dict(A__							)
			# set timm attributes to None
			A_		:						Any	    =   None, None, None

		A_		:						Optional[int]	    =   use_timm_backbone
		A_		:						List[str]	    =   backbone_config
		A_		:						Any	    =   num_channels
		A_		:						Union[str, Any]	    =   num_queries
		A_		:						Optional[int]	    =   d_model
		A_		:						Union[str, Any]	    =   encoder_ffn_dim
		A_		:						str	    =   encoder_layers
		A_		:						List[Any]	    =   encoder_attention_heads
		A_		:						str	    =   decoder_ffn_dim
		A_		:						Any	    =   decoder_layers
		A_		:						Tuple	    =   decoder_attention_heads
		A_		:						List[Any]	    =   dropout
		A_		:						int	    =   attention_dropout
		A_		:						Any	    =   activation_dropout
		A_		:						Tuple	    =   activation_function
		A_		:						Tuple	    =   init_std
		A_		:						Union[str, Any]	    =   init_xavier_std
		A_		:						int	    =   encoder_layerdrop
		A_		:						List[str]	    =   decoder_layerdrop
		A_		:						Any	    =   encoder_layers
		A_		:						List[str]	    =   auxiliary_loss
		A_		:						List[str]	    =   position_embedding_type
		A_		:						Tuple	    =   backbone
		A_		:						List[Any]	    =   use_pretrained_backbone
		A_		:						List[Any]	    =   dilation
		# Hungarian matcher
		A_		:						Tuple	    =   class_cost
		A_		:						Union[str, Any]	    =   bbox_cost
		A_		:						List[Any]	    =   giou_cost
		# Loss coefficients
		A_		:						Any	    =   mask_loss_coefficient
		A_		:						int	    =   dice_loss_coefficient
		A_		:						Union[str, Any]	    =   bbox_loss_coefficient
		A_		:						str	    =   giou_loss_coefficient
		A_		:						int	    =   eos_coefficient
		super().__init__(is_encoder_decoder=A__     ,     **A__							)





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





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






class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Dict    =				version.parse("""1.11"""						)





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





	@property
	def    lowerCamelCase(self							):
		return 1e-5





	@property
	def    lowerCamelCase(self							):
		return 12









"""simple docstring"""
import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
_lowerCAmelCase         =							"."


if __name__ == "__main__":
							_lowerCAmelCase         =							os.path.join(REPO_PATH, "utils/documentation_tests.txt")
							_lowerCAmelCase         =							[]
							_lowerCAmelCase         =							[]
							with open(doctest_file_path) as fp:
														for line in fp:
																					_lowerCAmelCase         =							line.strip()
																					_lowerCAmelCase         =							os.path.join(REPO_PATH, line)
																					if not (os.path.isfile(path) or os.path.isdir(path)):
																												non_existent_paths.append(line)
																					all_paths.append(path)
							if len(non_existent_paths) > 0:
														_lowerCAmelCase         =							"\n".join(non_existent_paths)
														raise ValueError(F'`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}')
							if all_paths != sorted(all_paths):
														raise ValueError("Files in `utils/documentation_tests.txt` are not in alphabetical order.")

