
'''simple docstring'''







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

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


__SCREAMING_SNAKE_CASE		:  int        =      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE		:  str        =      {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__SCREAMING_SNAKE_CASE		:  Dict        =      {
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json',
    },
}
class  SCREAMING_SNAKE_CASE__       (  snake_case_   ):
	def __init__(				self  ,    __UpperCamelCase=None  ,    __UpperCamelCase=None  ,    __UpperCamelCase=False  ,    __UpperCamelCase=True  ,    __UpperCamelCase=False  ,    __UpperCamelCase="<s>"  ,    __UpperCamelCase="</s>"  ,    __UpperCamelCase="<unk>"  ,    __UpperCamelCase="<sep>"  ,    __UpperCamelCase="<pad>"  ,    __UpperCamelCase="<cls>"  ,    __UpperCamelCase="<mask>"  ,    __UpperCamelCase=["<eop>", "<eod>"]  ,    **__UpperCamelCase  ,    ):



					'''simple docstring'''






					__a       :     Any								=	AddedToken(__lowerCamelCase  ,    lstrip=__lowerCamelCase  ,    rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase  ,    __lowerCamelCase			) else mask_token

					super().__init__(
					    vocab_file=__lowerCamelCase  ,    tokenizer_file=__lowerCamelCase  ,    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  ,    **__lowerCamelCase  ,    )

					__a       :     int								=	3
					__a       :     Optional[Any]								=	do_lower_case
					__a       :     Optional[int]								=	remove_space
					__a       :     Dict								=	keep_accents
					__a       :     List[str]								=	vocab_file
					__a       :     Optional[Any]								=	False if not self.vocab_file else True

					try:
									import jieba
					except ModuleNotFoundError as error:
									raise error.__class__(
									    """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
									    """See https://pypi.org/project/jieba/ for installation."""			)
					__a       :     Dict								=	jieba
					__a       :     Optional[Any]								=	str.maketrans(""" \n"""  ,    """\u2582\u2583"""			)
	def __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase = None			):



					'''simple docstring'''






					__a       :     int								=	[self.sep_token_id]
					__a       :     int								=	[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 __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase = None			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	[self.sep_token_id]
					__a       :     List[str]								=	[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 __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase = None			):



					'''simple docstring'''






					if not self.can_save_slow_tokenizer:
									raise ValueError(
									    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
									    """tokenizer."""			)

					if not os.path.isdir(__lowerCamelCase			):
									logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""			)
									return
					__a       :     Optional[Any]								=	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			):
									copyfile(self.vocab_file  ,    __lowerCamelCase			)

					return (out_vocab_file,)
	def __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    *__UpperCamelCase  ,    **__UpperCamelCase			):



					'''simple docstring'''






					__a       :     List[Any]								=	[
					    """ """.join([x.translate(self.translator			) for x in self.jieba.cut(__lowerCamelCase  ,    cut_all=__lowerCamelCase			)]			)
					    for text in batch_text_or_text_pairs
					]
					return super()._batch_encode_plus(__lowerCamelCase  ,    *__lowerCamelCase  ,    **__lowerCamelCase			)

	def __lowerCamelCase    (				self  ,    *__UpperCamelCase  ,    **__UpperCamelCase			):



					'''simple docstring'''






					__a       :     int								=	super()._decode(*__lowerCamelCase  ,    **__lowerCamelCase			)
					__a       :     List[str]								=	text.replace(""" """  ,    """"""			).replace("""\u2582"""  ,    """ """			).replace("""\u2583"""  ,    """\n"""			)
					return text







"""simple docstring"""

from cva import destroyAllWindows, imread, imshow, waitKey






def _lowerCAmelCase						(	__lowerCamelCase:Tuple			,    __lowerCamelCase:int ):

						'''simple docstring'''






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

						def to_grayscale(__lowerCamelCase:List[str]			,    __lowerCamelCase:Optional[Any]			,    __lowerCamelCase:int ):
												return 0.2_1_2_6 * red + 0.5_8_7 * green + 0.1_1_4 * blue

						def normalize(__lowerCamelCase:Union[str, Any] ):
												return min(__lowerCamelCase			,    2_5_5 )

						for i in range(__lowerCamelCase ):
												for j in range(__lowerCamelCase ):
																		__magic_name__      =  int(to_grayscale(*img[i][j] ) )
																		__magic_name__      =  [
																		    normalize(__lowerCamelCase ),
																		    normalize(greyscale + factor ),
																		    normalize(greyscale + 2 * factor ),
																		]

						return img


if __name__ == "__main__":
			# read original image
			lowercase           =							{
			    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()



