
'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case									=    logging.get_logger(__name__)

snake_case									=    {
    """xlm-roberta-base""": """https://huggingface.co/xlm-roberta-base/resolve/main/config.json""",
    """xlm-roberta-large""": """https://huggingface.co/xlm-roberta-large/resolve/main/config.json""",
    """xlm-roberta-large-finetuned-conll02-dutch""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll02-spanish""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-english""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-german""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"""
    ),
}




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				Optional[int]	=			"""xlm-roberta"""


 def __init__(    self  : List[str]			,							a__  : Optional[int]=3_0522			,							a__  : List[str]=768			,							a__  : Dict=12			,							a__  : List[Any]=12			,							a__  : Optional[Any]=3072			,							a__  : int="gelu"			,							a__  : Optional[Any]=0.1			,							a__  : str=0.1			,							a__  : Dict=512			,							a__  : str=2			,							a__  : Optional[int]=0.02			,							a__  : List[str]=1e-12			,							a__  : str=1			,							a__  : Union[str, Any]=0			,							a__  : List[Any]=2			,							a__  : Tuple="absolute"			,							a__  : List[Any]=True			,							a__  : Optional[int]=None			,							**a__  : int			,							):
  '''simple docstring'''

  super().__init__(pad_token_id=a__			,							bos_token_id=a__			,							eos_token_id=a__			,							**a__    )

  lowerCAmelCase__     :   Union[str, Any]     		=	vocab_size
  lowerCAmelCase__     :   Union[str, Any]     		=	hidden_size
  lowerCAmelCase__     :   int     		=	num_hidden_layers
  lowerCAmelCase__     :   Any     		=	num_attention_heads
  lowerCAmelCase__     :   int     		=	hidden_act
  lowerCAmelCase__     :   Dict     		=	intermediate_size
  lowerCAmelCase__     :   Dict     		=	hidden_dropout_prob
  lowerCAmelCase__     :   int     		=	attention_probs_dropout_prob
  lowerCAmelCase__     :   List[Any]     		=	max_position_embeddings
  lowerCAmelCase__     :   Optional[Any]     		=	type_vocab_size
  lowerCAmelCase__     :   List[str]     		=	initializer_range
  lowerCAmelCase__     :   Any     		=	layer_norm_eps
  lowerCAmelCase__     :   List[Any]     		=	position_embedding_type
  lowerCAmelCase__     :   int     		=	use_cache
  lowerCAmelCase__     :   Union[str, Any]     		=	classifier_dropout




class    lowerCAmelCase       (     UpperCamelCase_  ):


 @property
 def    _A	(    self  : Tuple    ):
  '''simple docstring'''

  if self.task == "multiple-choice":
   lowerCAmelCase__     :   Any     		=	{0: "batch", 1: "choice", 2: "sequence"}
  else:
   lowerCAmelCase__     :   Any     		=	{0: "batch", 1: "sequence"}
  return OrderedDict(
      [
          ("input_ids", dynamic_axis),
          ("attention_mask", dynamic_axis),
      ]    )







'''simple docstring'''

from cva import destroyAllWindows, imread, imshow, waitKey


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__		,     lowerCAmelCase__     :   Tuple     		=	img.shape[0], img.shape[1]

 # converting each pixel's color to its negative
 for i in range(lowerCamelCase_			):
  for j in range(lowerCamelCase_			):
   lowerCAmelCase__     :   Optional[int]     		=	[2_5_5, 2_5_5, 2_5_5] - img[i][j]

 return img


if __name__ == "__main__":
     # read original image
     snake_case									=    imread("""image_data/lena.jpg""", 1)

     # convert to its negative
     snake_case									=    convert_to_negative(img)

     # show result image
     imshow("""negative of original image""", img)
     waitKey(0)
     destroyAllWindows()





