


from __future__ import annotations



class 				A       :
					'''simple docstring'''






					def __init__(self       :		Union[str, Any] ,   _UpperCAmelCase       :		int = 0						)		->  List[Any]:




							"""simple docstring"""


							lowercase__	     =						key

					def     lowerCamelCase__	(self       :		str ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		int						)		->  list[str]:




							"""simple docstring"""


							assert isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						)

							lowercase__	     =						key or self.__key or 1

							# make sure key is an appropriate size
							key %= 255

							return [chr(ord(_UpperCAmelCase						) ^ key						) for ch in content]

					def     lowerCamelCase__	(self       :		List[Any] ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		int						)		->  list[str]:




							"""simple docstring"""


							assert isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						)

							lowercase__	     =						key or self.__key or 1

							# make sure key is an appropriate size
							key %= 255

							return [chr(ord(_UpperCAmelCase						) ^ key						) for ch in content]

					def     lowerCamelCase__	(self       :		Optional[int] ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		int = 0						)		->  str:




							"""simple docstring"""


							assert isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						)

							lowercase__	     =						key or self.__key or 1

							# make sure key can be any size
							while key > 255:
									key -= 255

							# This will be returned
							lowercase__	     =						""""""

							for ch in content:
									ans += chr(ord(_UpperCAmelCase						) ^ key						)

							return ans

					def     lowerCamelCase__	(self       :		Optional[int] ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		int = 0						)		->  str:




							"""simple docstring"""


							assert isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						)

							lowercase__	     =						key or self.__key or 1

							# make sure key can be any size
							while key > 255:
									key -= 255

							# This will be returned
							lowercase__	     =						""""""

							for ch in content:
									ans += chr(ord(_UpperCAmelCase						) ^ key						)

							return ans

					def     lowerCamelCase__	(self       :		List[str] ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		int = 0						)		->  bool:




							"""simple docstring"""


							assert isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						)

							try:
									with open(_UpperCAmelCase						) as fin, open("""encrypt.out""" ,   """w+"""						) as fout:
											# actual encrypt-process
											for line in fin:
													fout.write(self.encrypt_string(_UpperCAmelCase ,   _UpperCAmelCase						)						)

							except OSError:
									return False

							return True


					def     lowerCamelCase__	(self       :		Dict ,   _UpperCAmelCase       :		str ,   _UpperCAmelCase       :		int						)		->  bool:




							"""simple docstring"""


							assert isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						)

							try:
									with open(_UpperCAmelCase						) as fin, open("""decrypt.out""" ,   """w+"""						) as fout:
											# actual encrypt-process
											for line in fin:
													fout.write(self.decrypt_string(_UpperCAmelCase ,   _UpperCAmelCase						)						)

							except OSError:
									return False

							return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")


'''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


__snake_case						  =		logging.get_logger(__name__)

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





class       _a    (		__a      ):


  """simple docstring"""

  A_    							=						'''table-transformer'''
  A_    							=						['''past_key_values''']
  A_    							=						{
      '''hidden_size''': '''d_model''',
      '''num_attention_heads''': '''encoder_attention_heads''',
  }




  def __init__(		self      :       str   ,				lowercase_      :       str=True   ,				lowercase_      :       List[str]=None   ,				lowercase_      :       Dict=3   ,				lowercase_      :       Optional[Any]=100   ,				lowercase_      :       Optional[int]=6   ,				lowercase_      :       Optional[Any]=2_048   ,				lowercase_      :       List[Any]=8   ,				lowercase_      :       Optional[Any]=6   ,				lowercase_      :       int=2_048   ,				lowercase_      :       Any=8   ,				lowercase_      :       Optional[Any]=0.0   ,				lowercase_      :       int=0.0   ,				lowercase_      :       Dict=True   ,				lowercase_      :       int="relu"   ,				lowercase_      :       Tuple=256   ,				lowercase_      :       Dict=0.1   ,				lowercase_      :       List[str]=0.0   ,				lowercase_      :       List[str]=0.0   ,				lowercase_      :       int=0.0_2   ,				lowercase_      :       List[str]=1.0   ,				lowercase_      :       Optional[int]=False   ,				lowercase_      :       List[Any]="sine"   ,				lowercase_      :       Optional[int]="resnet50"   ,				lowercase_      :       Union[str, Any]=True   ,				lowercase_      :       Union[str, Any]=False   ,				lowercase_      :       List[str]=1   ,				lowercase_      :       Any=5   ,				lowercase_      :       Optional[int]=2   ,				lowercase_      :       Dict=1   ,				lowercase_      :       Optional[int]=1   ,				lowercase_      :       Dict=5   ,				lowercase_      :       Optional[int]=2   ,				lowercase_      :       Optional[Any]=0.1   ,				**lowercase_      :       List[str]   ,				):







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

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




  @property
  def 		lowerCamelCase__  (		self      :       Tuple      ):







    '''simple docstring'''


    return self.encoder_attention_heads





  @property
  def 		lowerCamelCase__  (		self      :       Dict      ):







    '''simple docstring'''


    return self.d_model






class       _a    (		__a      ):


  """simple docstring"""

  A_    							=						version.parse('''1.11'''      )




  @property
  def 		lowerCamelCase__  (		self      :       int      ):







    '''simple docstring'''


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




  @property
  def 		lowerCamelCase__  (		self      :       List[Any]      ):







    '''simple docstring'''


    return 1e-5





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







    '''simple docstring'''


    return 12

