




import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class      UpperCAmelCase						(			A   ,					unittest.TestCase    ):
   __SCREAMING_SNAKE_CASE		:							Union[str, Any]							=					MPNetTokenizer
   __SCREAMING_SNAKE_CASE		:							int							=					MPNetTokenizerFast
   __SCREAMING_SNAKE_CASE		:							Dict							=					True
   __SCREAMING_SNAKE_CASE		:							Tuple							=					True






   def  _a						(	self   :       Optional[Any]     )->			List[str]:
     super().setUp()

     _lowercase: Optional[int]						     =    [
         '[UNK]',
         '[CLS]',
         '[SEP]',
         '[PAD]',
         '[MASK]',
         'want',
         '##want',
         '##ed',
         'wa',
         'un',
         'runn',
         '##ing',
         ',',
         'low',
         'lowest',
     ]
     _lowercase: Optional[int]						     =    os.path.join(self.tmpdirname						,					VOCAB_FILES_NAMES['vocab_file']     )
     with open(self.vocab_file						,					'w'						,					encoding='utf-8'     ) as vocab_writer:
       vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )






   def  _a						(	self   :       Union[str, Any]						,					UpperCamelCase_   :       Optional[int]     )->			List[str]:
     _lowercase: List[Any]						     =    'UNwant\u00E9d,running'
     _lowercase: List[str]						     =    'unwanted, running'
     return input_text, output_text






   def  _a						(	self   :       Optional[Any]     )->			Dict:
     _lowercase: Optional[Any]						     =    self.tokenizer_class(self.vocab_file     )

     _lowercase: str						     =    tokenizer.tokenize('UNwant\u00E9d,running'     )
     self.assertListEqual(UpperCamelCase_						,					['un', '##want', '##ed', ',', 'runn', '##ing']     )
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_     )						,					[9, 6, 7, 12, 10, 11]     )






   @slow
   def  _a						(	self   :       List[Any]     )->			int:
     _lowercase: Dict						     =    self.tokenizer_class.from_pretrained('microsoft/mpnet-base'     )

     _lowercase: Tuple						     =    tokenizer.encode('sequence builders'						,					add_special_tokens=UpperCamelCase_     )
     _lowercase: Union[str, Any]						     =    tokenizer.encode('multi-sequence build'						,					add_special_tokens=UpperCamelCase_     )

     _lowercase: str						     =    tokenizer.build_inputs_with_special_tokens(UpperCamelCase_     )
     _lowercase: Dict						     =    tokenizer.build_inputs_with_special_tokens(UpperCamelCase_						,					UpperCamelCase_     )

     assert encoded_sentence == [0] + text + [2]
     assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]






from cva import destroyAllWindows, imread, imshow, waitKey


def 		_lowerCamelCase				(					UpperCamelCase					,     UpperCamelCase							)			->		List[str]:





  """simple docstring"""





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

  def to_grayscale(UpperCamelCase					,     UpperCamelCase					,     UpperCamelCase							):
    return 0.2_126 * red + 0.587 * green + 0.114 * blue

  def normalize(UpperCamelCase							):
    return min(UpperCamelCase					,     255							)

  for i in range(UpperCamelCase							):
    for j in range(UpperCamelCase							):
      _lowercase: Any						     =    int(to_grayscale(*img[i][j]							)							)
      _lowercase: str						     =    [
          normalize(UpperCamelCase							),
          normalize(greyscale + factor							),
          normalize(greyscale + 2 * factor							),
      ]

  return img


if __name__ == "__main__":
   # read original image
   UpperCAmelCase__						:       Optional[Any]							=    {
       percentage: imread('image_data/lena.jpg', 1) for percentage in (10, 20, 30, 40)
   }

   for percentage, img in images.items():
      make_sepia(img, percentage)

   for percentage, img in images.items():
      imshow(f'''Original image with sepia (factor: {percentage})''', img)

   waitKey(0)
   destroyAllWindows()
