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    :				Any							     =	logging.get_logger(__name__)

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







class __snake_case       (		lowercase_	):
   lowerCAmelCase_														=							'''table-transformer'''
   lowerCAmelCase_														=							['''past_key_values''']
   lowerCAmelCase_														=							{
       '''hidden_size''': '''d_model''',
       '''num_attention_heads''': '''encoder_attention_heads''',
   }




   def __init__(					self    :       Dict ,			_lowercase    :       Optional[Any]=True ,			_lowercase    :       Tuple=None ,			_lowercase    :       Optional[Any]=3 ,			_lowercase    :       Tuple=1_00 ,			_lowercase    :       Tuple=6 ,			_lowercase    :       Tuple=20_48 ,			_lowercase    :       List[Any]=8 ,			_lowercase    :       List[Any]=6 ,			_lowercase    :       Tuple=20_48 ,			_lowercase    :       Union[str, Any]=8 ,			_lowercase    :       Tuple=0.0 ,			_lowercase    :       Dict=0.0 ,			_lowercase    :       str=True ,			_lowercase    :       str="relu" ,			_lowercase    :       List[str]=2_56 ,			_lowercase    :       List[Any]=0.1 ,			_lowercase    :       Optional[Any]=0.0 ,			_lowercase    :       str=0.0 ,			_lowercase    :       List[Any]=0.02 ,			_lowercase    :       int=1.0 ,			_lowercase    :       Tuple=False ,			_lowercase    :       Tuple="sine" ,			_lowercase    :       str="resnet50" ,			_lowercase    :       List[Any]=True ,			_lowercase    :       str=False ,			_lowercase    :       Tuple=1 ,			_lowercase    :       Any=5 ,			_lowercase    :       List[Any]=2 ,			_lowercase    :       Dict=1 ,			_lowercase    :       Optional[Any]=1 ,			_lowercase    :       Any=5 ,			_lowercase    :       int=2 ,			_lowercase    :       Optional[Any]=0.1 ,			**_lowercase    :       Dict ,			):



     """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."""   )
         SCREAMING_SNAKE_CASE__    							=   CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]   )
       elif isinstance(UpperCamelCase__ ,			UpperCamelCase__   ):
         SCREAMING_SNAKE_CASE__    							=   backbone_config.get("""model_type"""   )
         SCREAMING_SNAKE_CASE__    							=   CONFIG_MAPPING[backbone_model_type]
         SCREAMING_SNAKE_CASE__    							=   config_class.from_dict(UpperCamelCase__   )
       # set timm attributes to None
       SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__    							=   None, None, None

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




   @property
   def 			__a		(					self    :       str   ):



     """simple docstring"""






     return self.encoder_attention_heads




   @property
   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     return self.d_model







class __snake_case       (		lowercase_	):
   lowerCAmelCase_														=							version.parse("1.11"	)




   @property
   def 			__a		(					self    :       Any   ):



     """simple docstring"""






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




   @property
   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






     return 1E-5




   @property
   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     return 12

from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class __snake_case       :




   def __init__(					self    :       Union[str, Any] ,			_lowercase    :       Any   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   data
     SCREAMING_SNAKE_CASE__    							=   None







class __snake_case       :




   def __init__(					self    :       List[Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   None
     SCREAMING_SNAKE_CASE__    							=   None




   def __iter__(					self    :       Tuple   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   self.head
     while self.head:
       yield node.data
       SCREAMING_SNAKE_CASE__    							=   node.next
       if node == self.head:
         break




   def __len__(					self    :       int   ):



     """simple docstring"""






     return sum(1 for _ in self   )




   def __repr__(					self    :       Optional[int]   ):



     """simple docstring"""






     return "->".join(str(_lowercase   ) for item in iter(self   )   )




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       Any   ):



     """simple docstring"""






     self.insert_nth(len(self   ) ,			_lowercase   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       Any   ):



     """simple docstring"""






     self.insert_nth(0 ,			_lowercase   )




   def 			__a		(					self    :       Tuple ,			_lowercase    :       int ,			_lowercase    :       Any   ):



     """simple docstring"""






     if index < 0 or index > len(self   ):
       raise IndexError("""list index out of range."""   )
     SCREAMING_SNAKE_CASE__    							=   Node(_lowercase   )
     if self.head is None:
       SCREAMING_SNAKE_CASE__    							=   new_node  # first node points itself
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   new_node
     elif index == 0:  # insert at head
       SCREAMING_SNAKE_CASE__    							=   self.head
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   new_node
     else:
       SCREAMING_SNAKE_CASE__    							=   self.head
       for _ in range(index - 1   ):
         SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   new_node
       if index == len(self   ) - 1:  # insert at tail
         SCREAMING_SNAKE_CASE__    							=   new_node




   def 			__a		(					self    :       Dict   ):



     """simple docstring"""






     return self.delete_nth(0   )




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     return self.delete_nth(len(self   ) - 1   )




   def 			__a		(					self    :       str ,			_lowercase    :       int = 0   ):



     """simple docstring"""






     if not 0 <= index < len(self   ):
       raise IndexError("""list index out of range."""   )
     SCREAMING_SNAKE_CASE__    							=   self.head
     if self.head == self.tail:  # just one node
       SCREAMING_SNAKE_CASE__    							=   SCREAMING_SNAKE_CASE__    							=   None
     elif index == 0:  # delete head node
       SCREAMING_SNAKE_CASE__    							=   self.tail.next.next
       SCREAMING_SNAKE_CASE__    							=   self.head.next
     else:
       SCREAMING_SNAKE_CASE__    							=   self.head
       for _ in range(index - 1   ):
         SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next
       SCREAMING_SNAKE_CASE__    							=   temp.next.next
       if index == len(self   ) - 1:  # delete at tail
         SCREAMING_SNAKE_CASE__    							=   temp
     return delete_node.data




   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     return len(self   ) == 0





def 			__SCREAMING_SNAKE_CASE						(      )							->      None:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   CircularLinkedList()
  assert len(__UpperCamelCase			) == 0
  assert circular_linked_list.is_empty() is True
  assert str(__UpperCamelCase			) == ""

  try:
    circular_linked_list.delete_front()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_tail()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_nth(-1			)
    raise AssertionError
  except IndexError:
    assert True

  try:
    circular_linked_list.delete_nth(0			)
    raise AssertionError
  except IndexError:
    assert True

  assert circular_linked_list.is_empty() is True
  for i in range(5			):
    assert len(__UpperCamelCase			) == i
    circular_linked_list.insert_nth(__UpperCamelCase				,  i + 1			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)

  circular_linked_list.insert_tail(6			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  7			)			)
  circular_linked_list.insert_head(0			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(0				,  7			)			)

  assert circular_linked_list.delete_front() == 0
  assert circular_linked_list.delete_tail() == 6
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)
  assert circular_linked_list.delete_nth(2			) == 3

  circular_linked_list.insert_nth(2				,  3			)
  assert str(__UpperCamelCase			) == "->".join(str(__UpperCamelCase			) for i in range(1				,  6			)			)

  assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
   import doctest

   doctest.testmod()
