

from cva import destroyAllWindows, imread, imshow, waitKey
def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					img.shape[0], img.shape[1]

     # converting each pixel's color to its negative
     for i in range(_A       ):
          for j in range(_A       ):
               SCREAMING_SNAKE_CASE__					=					[2_55, 2_55, 2_55] - img[i][j]

     return img


if __name__ == "__main__":
      # read original image
      _SCREAMING_SNAKE_CASE  :						Optional[Any]         =    imread('''image_data/lena.jpg''', 1)

      # convert to its negative
      _SCREAMING_SNAKE_CASE  :						List[Any]         =    convert_to_negative(img)

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





import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


_SCREAMING_SNAKE_CASE  :						Union[str, Any]         =    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :						int         =    {'''vocab_file''': '''spiece.model'''}

_SCREAMING_SNAKE_CASE  :						int         =    {
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

_SCREAMING_SNAKE_CASE  :						List[Any]         =    {
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
_SCREAMING_SNAKE_CASE  :						Optional[int]         =    0
_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    1
_SCREAMING_SNAKE_CASE  :						int         =    2
_SCREAMING_SNAKE_CASE  :						str         =    3
_SCREAMING_SNAKE_CASE  :						str         =    4






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  a     =      VOCAB_FILES_NAMES
  a     =      PRETRAINED_VOCAB_FILES_MAP
  a     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a     =      "left"






  def __init__(							self		:	Optional[int]			,     __lowerCamelCase		:	Tuple			,     __lowerCamelCase		:	List[str]=False			,     __lowerCamelCase		:	Optional[Any]=True			,     __lowerCamelCase		:	Optional[Any]=False			,     __lowerCamelCase		:	List[str]="<s>"			,     __lowerCamelCase		:	Any="</s>"			,     __lowerCamelCase		:	Tuple="<unk>"			,     __lowerCamelCase		:	List[str]="<sep>"			,     __lowerCamelCase		:	List[str]="<pad>"			,     __lowerCamelCase		:	int="<cls>"			,     __lowerCamelCase		:	Any="<mask>"			,     __lowerCamelCase		:	Dict=["<eop>", "<eod>"]			,     __lowerCamelCase		:	Optional[Dict[str, Any]] = None			,     **__lowerCamelCase		:	int			,     )	->							None:
       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE__					=					AddedToken(__lowerCamelCase			,     lstrip=__lowerCamelCase			,     rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase			,     __lowerCamelCase      ) else mask_token

       SCREAMING_SNAKE_CASE__					=					{} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           do_lower_case=__lowerCamelCase			,     remove_space=__lowerCamelCase			,     keep_accents=__lowerCamelCase			,     bos_token=__lowerCamelCase			,     eos_token=__lowerCamelCase			,     unk_token=__lowerCamelCase			,     sep_token=__lowerCamelCase			,     pad_token=__lowerCamelCase			,     cls_token=__lowerCamelCase			,     mask_token=__lowerCamelCase			,     additional_special_tokens=__lowerCamelCase			,     sp_model_kwargs=self.sp_model_kwargs			,     **__lowerCamelCase			,     )

       SCREAMING_SNAKE_CASE__					=					3

       SCREAMING_SNAKE_CASE__					=					do_lower_case
       SCREAMING_SNAKE_CASE__					=					remove_space
       SCREAMING_SNAKE_CASE__					=					keep_accents
       SCREAMING_SNAKE_CASE__					=					vocab_file

       SCREAMING_SNAKE_CASE__					=					spm.SentencePieceProcessor(**self.sp_model_kwargs      )
       self.sp_model.Load(__lowerCamelCase      )






  @property
  def    lowercase_	(							self		:	Optional[Any]      )	->							Union[str, Any]:
       return len(self.sp_model      )






  def    lowercase_	(							self		:	Tuple      )	->							Dict:
       SCREAMING_SNAKE_CASE__					=					{self.convert_ids_to_tokens(__lowerCamelCase      ): i for i in range(self.vocab_size      )}
       vocab.update(self.added_tokens_encoder      )
       return vocab






  def __getstate__(							self		:	List[Any]      )	->							List[Any]:
       SCREAMING_SNAKE_CASE__					=					self.__dict__.copy()
       SCREAMING_SNAKE_CASE__					=					None
       return state






  def __setstate__(							self		:	Any			,     __lowerCamelCase		:	Tuple      )	->							Tuple:
       SCREAMING_SNAKE_CASE__					=					d

       # for backward compatibility
       if not hasattr(self			,     '''sp_model_kwargs'''      ):
            SCREAMING_SNAKE_CASE__					=					{}

       SCREAMING_SNAKE_CASE__					=					spm.SentencePieceProcessor(**self.sp_model_kwargs      )
       self.sp_model.Load(self.vocab_file      )






  def    lowercase_	(							self		:	Union[str, Any]			,     __lowerCamelCase		:	Union[str, Any]      )	->							List[str]:
       if self.remove_space:
            SCREAMING_SNAKE_CASE__					=					''' '''.join(inputs.strip().split()      )
       else:
            SCREAMING_SNAKE_CASE__					=					inputs
       SCREAMING_SNAKE_CASE__					=					outputs.replace('''``'''			,     '''"'''      ).replace('''\'\''''			,     '''"'''      )

       if not self.keep_accents:
            SCREAMING_SNAKE_CASE__					=					unicodedata.normalize('''NFKD'''			,     __lowerCamelCase      )
            SCREAMING_SNAKE_CASE__					=					''''''.join([c for c in outputs if not unicodedata.combining(__lowerCamelCase      )]      )
       if self.do_lower_case:
            SCREAMING_SNAKE_CASE__					=					outputs.lower()

       return outputs






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	str      )	->							List[str]:
       SCREAMING_SNAKE_CASE__					=					self.preprocess_text(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					self.sp_model.encode(__lowerCamelCase			,     out_type=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					[]
       for piece in pieces:
            if len(__lowerCamelCase      ) > 1 and piece[-1] == str(''','''      ) and piece[-2].isdigit():
                 SCREAMING_SNAKE_CASE__					=					self.sp_model.EncodeAsPieces(piece[:-1].replace(__lowerCamelCase			,     ''''''      )      )
                 if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                      if len(cur_pieces[0]      ) == 1:
                           SCREAMING_SNAKE_CASE__					=					cur_pieces[1:]
                      else:
                           SCREAMING_SNAKE_CASE__					=					cur_pieces[0][1:]
                 cur_pieces.append(piece[-1]      )
                 new_pieces.extend(__lowerCamelCase      )
            else:
                 new_pieces.append(__lowerCamelCase      )

       return new_pieces






  def    lowercase_	(							self		:	List[Any]			,     __lowerCamelCase		:	Optional[int]      )	->							Optional[Any]:
       return self.sp_model.PieceToId(__lowerCamelCase      )






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Tuple      )	->							List[Any]:
       return self.sp_model.IdToPiece(__lowerCamelCase      )






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Tuple      )	->							Optional[Any]:
       SCREAMING_SNAKE_CASE__					=					''''''.join(__lowerCamelCase      ).replace(__lowerCamelCase			,     ''' '''      ).strip()
       return out_string






  def    lowercase_	(							self		:	Union[str, Any]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	bool = False			,     __lowerCamelCase		:	bool = None			,     __lowerCamelCase		:	bool = True			,     **__lowerCamelCase		:	int			,     )	->							str:
       SCREAMING_SNAKE_CASE__					=					kwargs.pop('''use_source_tokenizer'''			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					self.convert_ids_to_tokens(__lowerCamelCase			,     skip_special_tokens=__lowerCamelCase      )

       # To avoid mixing byte-level and unicode for byte-level BPT
       # we need to build string separately for added tokens and byte-level tokens
       # cf. https://github.com/huggingface/transformers/issues/1133
       SCREAMING_SNAKE_CASE__					=					[]
       SCREAMING_SNAKE_CASE__					=					[]
       for token in filtered_tokens:
            if skip_special_tokens and token in self.all_special_ids:
                 continue
            if token in self.added_tokens_encoder:
                 if current_sub_text:
                      sub_texts.append(self.convert_tokens_to_string(__lowerCamelCase      )      )
                      SCREAMING_SNAKE_CASE__					=					[]
                 sub_texts.append(__lowerCamelCase      )
            else:
                 current_sub_text.append(__lowerCamelCase      )
       if current_sub_text:
            sub_texts.append(self.convert_tokens_to_string(__lowerCamelCase      )      )

       # Mimic the behavior of the Rust tokenizer:
       # By default, there are no spaces between special tokens
       SCREAMING_SNAKE_CASE__					=					''''''.join(__lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					(
           clean_up_tokenization_spaces
           if clean_up_tokenization_spaces is not None
           else self.clean_up_tokenization_spaces
       )
       if clean_up_tokenization_spaces:
            SCREAMING_SNAKE_CASE__					=					self.clean_up_tokenization(__lowerCamelCase      )
            return clean_text
       else:
            return text






  def    lowercase_	(							self		:	Dict			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None      )	->							List[int]:
       SCREAMING_SNAKE_CASE__					=					[self.sep_token_id]
       SCREAMING_SNAKE_CASE__					=					[self.cls_token_id]
       if token_ids_a is None:
            return token_ids_a + sep + cls
       return token_ids_a + sep + token_ids_a + sep + cls






  def    lowercase_	(							self		:	List[Any]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None			,     __lowerCamelCase		:	bool = False      )	->							List[int]:

       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__lowerCamelCase			,     token_ids_a=__lowerCamelCase			,     already_has_special_tokens=__lowerCamelCase      )

       if token_ids_a is not None:
            return ([0] * len(__lowerCamelCase      )) + [1] + ([0] * len(__lowerCamelCase      )) + [1, 1]
       return ([0] * len(__lowerCamelCase      )) + [1, 1]






  def    lowercase_	(							self		:	List[str]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None      )	->							List[int]:
       SCREAMING_SNAKE_CASE__					=					[self.sep_token_id]
       SCREAMING_SNAKE_CASE__					=					[2]

       if token_ids_a is None:
            return len(token_ids_a + sep      ) * [0] + cls_segment_id
       return len(token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1] + cls_segment_id







  def    lowercase_	(							self		:	str			,     __lowerCamelCase		:	str			,     __lowerCamelCase		:	Optional[str] = None      )	->							Tuple[str]:
       if not os.path.isdir(__lowerCamelCase      ):
            logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
            return
       SCREAMING_SNAKE_CASE__					=					os.path.join(
           __lowerCamelCase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

       if os.path.abspath(self.vocab_file      ) != os.path.abspath(__lowerCamelCase      ) and os.path.isfile(self.vocab_file      ):
            copyfile(self.vocab_file			,     __lowerCamelCase      )
       elif not os.path.isfile(self.vocab_file      ):
            with open(__lowerCamelCase			,     '''wb'''      ) as fi:
                 SCREAMING_SNAKE_CASE__					=					self.sp_model.serialized_model_proto()
                 fi.write(__lowerCamelCase      )

       return (out_vocab_file,)


