


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			:  int     =logging.get_logger(__name__)

_UpperCAmelCase			:  Optional[Any]     ={
    """microsoft/table-transformer-detection""": (
        """https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json"""
    ),
}







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  str					=							"""table-transformer"""
						SCREAMING_SNAKE_CASE__      :  Optional[int]					=							["""past_key_values"""]
						SCREAMING_SNAKE_CASE__      :  Tuple					=							{
						    """hidden_size""": """d_model""",
						    """num_attention_heads""": """encoder_attention_heads""",
						}




						def __init__(				self   ,						__lowercase=True   ,						__lowercase=None   ,						__lowercase=3   ,						__lowercase=1_0_0   ,						__lowercase=6   ,						__lowercase=2_0_4_8   ,						__lowercase=8   ,						__lowercase=6   ,						__lowercase=2_0_4_8   ,						__lowercase=8   ,						__lowercase=0.0   ,						__lowercase=0.0   ,						__lowercase=True   ,						__lowercase="relu"   ,						__lowercase=2_5_6   ,						__lowercase=0.1   ,						__lowercase=0.0   ,						__lowercase=0.0   ,						__lowercase=0.02   ,						__lowercase=1.0   ,						__lowercase=False   ,						__lowercase="sine"   ,						__lowercase="resnet50"   ,						__lowercase=True   ,						__lowercase=False   ,						__lowercase=1   ,						__lowercase=5   ,						__lowercase=2   ,						__lowercase=1   ,						__lowercase=1   ,						__lowercase=5   ,						__lowercase=2   ,						__lowercase=0.1   ,						**__lowercase   ,						)					->    Union[str, 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.'''							)
																		lowerCAmelCase_ :      List[str]    				=				CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']							)
														elif isinstance(__lowercase   ,						__lowercase							):
																		lowerCAmelCase_ :      Optional[Any]    				=				backbone_config.get('''model_type'''							)
																		lowerCAmelCase_ :      Any    				=				CONFIG_MAPPING[backbone_model_type]
																		lowerCAmelCase_ :      int    				=				config_class.from_dict(__lowercase							)
														# set timm attributes to None
														lowerCAmelCase_				,  lowerCAmelCase_				,  lowerCAmelCase_ :      Optional[Any]    				=				None, None, None

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




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




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







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  List[Any]					=							version.parse("""1.11"""							)




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




						@property
						def 						lowercase_ (				self							)					->    int:
										return 1_2



import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
_UpperCAmelCase			:  Any     ="""src/transformers"""


# This is to make sure the transformers module imported is the one in the repo.
_UpperCAmelCase			:  Optional[Any]     =direct_transformers_import(PATH_TO_TRANSFORMERS)

_UpperCAmelCase			:  List[str]     =transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
_UpperCAmelCase			:  Dict     =re.compile(R"""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


_UpperCAmelCase			:  Any     ={
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}



def 			lowerCAmelCase (		lowerCAmelCase_ )-> str:
				lowerCAmelCase_ :      Any    				=				None

				# source code of `config_class`
				lowerCAmelCase_ :      Optional[int]    				=				inspect.getsource(lowerCAmelCase_ )
				lowerCAmelCase_ :      str    				=				_re_checkpoint.findall(lowerCAmelCase_ )

				# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
				# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
				for ckpt_name, ckpt_link in checkpoints:
								# allow the link to end with `/`
								if ckpt_link.endswith('''/''' ):
												lowerCAmelCase_ :      Optional[Any]    				=				ckpt_link[:-1]

								# verify the checkpoint name corresponds to the checkpoint link
								lowerCAmelCase_ :      Tuple    				=				f"""https://huggingface.co/{ckpt_name}"""
								if ckpt_link == ckpt_link_from_name:
												lowerCAmelCase_ :      List[str]    				=				ckpt_name
												break

				return checkpoint



def 			lowerCAmelCase (		)-> Optional[Any]:
				lowerCAmelCase_ :      Tuple    				=				[]

				for config_class in list(CONFIG_MAPPING.values() ):
								# Skip deprecated models
								if "models.deprecated" in config_class.__module__:
												continue
								lowerCAmelCase_ :      int    				=				get_checkpoint_from_config_class(lowerCAmelCase_ )

								lowerCAmelCase_ :      Tuple    				=				config_class.__name__
								if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
												configs_without_checkpoint.append(lowerCAmelCase_ )

				if len(lowerCAmelCase_ ) > 0:
								lowerCAmelCase_ :      List[Any]    				=				'''\n'''.join(sorted(lowerCAmelCase_ ) )
								raise ValueError(f"""The following configurations don't contain any valid checkpoint:\n{message}""" )


if __name__ == "__main__":
						check_config_docstrings_have_checkpoints()