"""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


UpperCAmelCase__     :   List[Any]  		=						logging.get_logger(__name__)

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


class        a				(		__lowerCAmelCase   ):
    _snake_case     :  Tuple     							=							"table-transformer"
    _snake_case     :  Dict     							=							["past_key_values"]
    _snake_case     :  Optional[int]     							=							{
        "hidden_size": "d_model",
        "num_attention_heads": "encoder_attention_heads",
    }


    def __init__(					self	:  str   ,				__lowerCAmelCase	:  Union[str, Any]=True   ,				__lowerCAmelCase	:  Optional[Any]=None   ,				__lowerCAmelCase	:  Union[str, Any]=3   ,				__lowerCAmelCase	:  Optional[int]=100   ,				__lowerCAmelCase	:  Dict=6   ,				__lowerCAmelCase	:  Tuple=2048   ,				__lowerCAmelCase	:  Optional[Any]=8   ,				__lowerCAmelCase	:  List[Any]=6   ,				__lowerCAmelCase	:  int=2048   ,				__lowerCAmelCase	:  List[Any]=8   ,				__lowerCAmelCase	:  str=0.0   ,				__lowerCAmelCase	:  List[str]=0.0   ,				__lowerCAmelCase	:  Union[str, Any]=True   ,				__lowerCAmelCase	:  str="relu"   ,				__lowerCAmelCase	:  List[str]=256   ,				__lowerCAmelCase	:  Any=0.1   ,				__lowerCAmelCase	:  Dict=0.0   ,				__lowerCAmelCase	:  str=0.0   ,				__lowerCAmelCase	:  Any=0.02   ,				__lowerCAmelCase	:  Union[str, Any]=1.0   ,				__lowerCAmelCase	:  List[str]=False   ,				__lowerCAmelCase	:  Optional[Any]="sine"   ,				__lowerCAmelCase	:  Any="resnet50"   ,				__lowerCAmelCase	:  Union[str, Any]=True   ,				__lowerCAmelCase	:  Tuple=False   ,				__lowerCAmelCase	:  Optional[int]=1   ,				__lowerCAmelCase	:  Any=5   ,				__lowerCAmelCase	:  Tuple=2   ,				__lowerCAmelCase	:  List[Any]=1   ,				__lowerCAmelCase	:  int=1   ,				__lowerCAmelCase	:  Any=5   ,				__lowerCAmelCase	:  str=2   ,				__lowerCAmelCase	:  Optional[Any]=0.1   ,				**__lowerCAmelCase	:  Optional[int]   ,				):






      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(lowerCamelCase__   ,				lowerCamelCase__					):
          _UpperCAmelCase						 =      backbone_config.get("""model_type"""					)
          _UpperCAmelCase						 =      CONFIG_MAPPING[backbone_model_type]
          _UpperCAmelCase						 =      config_class.from_dict(lowerCamelCase__					)
        # set timm attributes to None
        _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=lowerCamelCase__   ,				**lowerCamelCase__					)


    @property
    def      lowerCAmelCase_  (					self	:  Dict					):
      return self.encoder_attention_heads


    @property
    def      lowerCAmelCase_  (					self	:  List[str]					):
      return self.d_model



class        a				(		__lowerCAmelCase   ):
    _snake_case     :  List[Any]     							=							version.parse('1.11'   )


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


    @property
    def      lowerCAmelCase_  (					self	:  List[Any]					):
      return 1e-5


    @property
    def      lowerCAmelCase_  (					self	:  List[Any]					):
      return 12

"""simple docstring"""


# Lint as: python3
import itertools
import os
import re


UpperCAmelCase__  		=						re.compile(r"""([A-Z]+)([A-Z][a-z])""")
UpperCAmelCase__  		=						re.compile(r"""([a-z\d])([A-Z])""")

UpperCAmelCase__  		=						re.compile(r"""(?<!_)_(?!_)""")
UpperCAmelCase__  		=						re.compile(r"""(_{2,})""")

UpperCAmelCase__  		=						r"""^\w+(\.\w+)*$"""

UpperCAmelCase__  		=						r"""<>:/\|?*"""






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _uppercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  _UpperCAmelCase						 =      _lowercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  return name.lower()






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _single_underscore_re.split(lowercase		)
  _UpperCAmelCase						 =      [_multiple_underscores_re.split(lowercase		) for n in name]
  return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowercase		) if n != """"""		)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  return camelcase_to_snakecase(lowercase		)






def     __UpperCAmelCase					(			lowercase   ,lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  if not re.match(_split_re   ,lowercase		):
    raise ValueError(f'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''		)
  return f'''{filename_prefix_for_name(lowercase		)}-{split}'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  if filetype_suffix:
    prefix += f'''.{filetype_suffix}'''
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)
  return f'''{filepath}*'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)

  if shard_lengths:
    _UpperCAmelCase						 =      len(lowercase		)
    _UpperCAmelCase						 =      [f'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(lowercase		)]
    if filetype_suffix:
      _UpperCAmelCase						 =      [filename + f'''.{filetype_suffix}''' for filename in filenames]
    return filenames
  else:
    _UpperCAmelCase						 =      prefix
    if filetype_suffix:
      filename += f'''.{filetype_suffix}'''
    return [filename]
