





import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase_      							=     logging.get_logger(__name__)

UpperCAmelCase_      							=     {"""vocab_file""": """sentencepiece.model"""}

UpperCAmelCase_      							=     {
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

UpperCAmelCase_      							=     {
    """google/rembert""": 256,
}
class 			UpperCamelCase_		(  __lowerCamelCase					):
					lowerCAmelCase_							=	VOCAB_FILES_NAMES
					lowerCAmelCase_							=	PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




					def __init__(		self				,						lowerCAmelCase_				,						lowerCAmelCase_=False				,						lowerCAmelCase_=True				,						lowerCAmelCase_=True				,						lowerCAmelCase_="[CLS]"				,						lowerCAmelCase_="[SEP]"				,						lowerCAmelCase_="[UNK]"				,						lowerCAmelCase_="[SEP]"				,						lowerCAmelCase_="[PAD]"				,						lowerCAmelCase_="[CLS]"				,						lowerCAmelCase_="[MASK]"				,						**lowerCAmelCase_				,						)		->							int:
										super().__init__(
										    do_lower_case=UpperCAmelCase_				,						remove_space=UpperCAmelCase_				,						keep_accents=UpperCAmelCase_				,						bos_token=UpperCAmelCase_				,						eos_token=UpperCAmelCase_				,						unk_token=UpperCAmelCase_				,						sep_token=UpperCAmelCase_				,						pad_token=UpperCAmelCase_				,						cls_token=UpperCAmelCase_				,						mask_token=UpperCAmelCase_				,						**UpperCAmelCase_				,						)

										_snake_case									=				do_lower_case
										_snake_case									=				remove_space
										_snake_case									=				keep_accents
										_snake_case									=				vocab_file

										_snake_case									=				spm.SentencePieceProcessor()
										self.sp_model.Load(UpperCAmelCase_  )




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




					def 	lowerCAmelCase			(		self  )		->							Optional[int]:
										_snake_case									=				{self.convert_ids_to_tokens(UpperCAmelCase_  ): i for i in range(self.vocab_size  )}
										vocab.update(self.added_tokens_encoder  )
										return vocab




					def __getstate__(		self  )		->							Any:
										_snake_case									=				self.__dict__.copy()
										_snake_case									=				None
										return state




					def __setstate__(		self				,						lowerCAmelCase_  )		->							int:
										_snake_case									=				d
										_snake_case									=				spm.SentencePieceProcessor()
										self.sp_model.Load(self.vocab_file  )




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_=False  )		->							Tuple:
										_snake_case									=				self.sp_model.EncodeAsPieces(UpperCAmelCase_  )
										return pieces




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							int:
										return self.sp_model.PieceToId(UpperCAmelCase_  )




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Any:
										return self.sp_model.IdToPiece(UpperCAmelCase_  )




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Dict:
										_snake_case									=				self.sp_model.decode_pieces(UpperCAmelCase_  )
										return out_string




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							str:
										_snake_case									=				[self.sep_token_id]
										_snake_case									=				[self.cls_token_id]
										if token_ids_a is None:
															return cls + token_ids_a + sep
										return cls + token_ids_a + sep + token_ids_a + sep




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_ = None				,						lowerCAmelCase_ = False  )		->							Any:

										if already_has_special_tokens:
															if token_ids_a is not None:
																				raise ValueError(
																				    'You should not supply a second sequence if the provided sequence of '
																				    'ids is already formatted with special tokens for the model.'  )
															return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							Dict:
										_snake_case									=				[self.sep_token_id]
										_snake_case									=				[self.cls_token_id]

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






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							Any:
										if not os.path.isdir(UpperCAmelCase_  ):
															logger.error('Vocabulary path ({}) should be a directory'.format(UpperCAmelCase_  )  )
															return
										_snake_case									=				os.path.join(
										    UpperCAmelCase_				,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )

										if os.path.abspath(self.vocab_file  ) != os.path.abspath(UpperCAmelCase_  ):
															copyfile(self.vocab_file				,						UpperCAmelCase_  )

										return (out_vocab_file,)










from cva import destroyAllWindows, imread, imshow, waitKey





def 						lowerCamelCase__     (     UpperCamelCase__			:       Optional[int]						)			-> Optional[int]:



					'''simple docstring'''




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

					# converting each pixel's color to its negative
					for i in range(UpperCamelCase__						):
										for j in range(UpperCamelCase__						):
															_snake_case									=				[255, 255, 255] - img[i][j]

					return img


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

					# convert to its negative
					UpperCAmelCase_      							=     convert_to_negative(img)

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



