


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

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


lowerCamelCase						 =	logging.get_logger(__name__)

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

lowerCamelCase						 =	{
    '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 A  (       UpperCamelCase_					):






      def __init__( self						:					Optional[Any]      ,       lowercase_						:					int=None      ,       lowercase_						:					Optional[int]=None      ,       lowercase_						:					Optional[Any]=False      ,       lowercase_						:					List[Any]=True      ,       lowercase_						:					int=False      ,       lowercase_						:					List[Any]="<s>"      ,       lowercase_						:					Any="</s>"      ,       lowercase_						:					Any="<unk>"      ,       lowercase_						:					int="<sep>"      ,       lowercase_						:					str="<pad>"      ,       lowercase_						:					Dict="<cls>"      ,       lowercase_						:					Union[str, Any]="<mask>"      ,       lowercase_						:					str=["<eop>", "<eod>"]      ,       **lowercase_						:					str      ,       ) ->						Tuple:
             """simple docstring"""




             _lowerCamelCase	:		List[str]          =AddedToken(lowercase_      ,       lstrip=lowercase_      ,       rstrip=lowercase_			) if isinstance(lowercase_      ,       lowercase_			) else mask_token

             super().__init__(
                 vocab_file=lowercase_      ,       tokenizer_file=lowercase_      ,       do_lower_case=lowercase_      ,       remove_space=lowercase_      ,       keep_accents=lowercase_      ,       bos_token=lowercase_      ,       eos_token=lowercase_      ,       unk_token=lowercase_      ,       sep_token=lowercase_      ,       pad_token=lowercase_      ,       cls_token=lowercase_      ,       mask_token=lowercase_      ,       additional_special_tokens=lowercase_      ,       **lowercase_      ,       )

             _lowerCamelCase	:		Optional[Any]          =3
             _lowerCamelCase	:		Optional[Any]          =do_lower_case
             _lowerCamelCase	:		Optional[Any]          =remove_space
             _lowerCamelCase	:		Optional[int]          =keep_accents
             _lowerCamelCase	:		List[str]          =vocab_file
             _lowerCamelCase	:		Union[str, 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.'			)
             _lowerCamelCase	:		Optional[Any]          =jieba
             _lowerCamelCase	:		Tuple          =str.maketrans(' \n'      ,       '\u2582\u2583'			)






      def 	lowerCamelCase	( self						:					Optional[Any]      ,       lowercase_						:					List[int]      ,       lowercase_						:					Optional[List[int]] = None			) ->						List[int]:
             """simple docstring"""




             _lowerCamelCase	:		str          =[self.sep_token_id]
             _lowerCamelCase	:		List[str]          =[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						:					Optional[int]      ,       lowercase_						:					List[int]      ,       lowercase_						:					Optional[List[int]] = None			) ->						List[int]:
             """simple docstring"""




             _lowerCamelCase	:		Optional[Any]          =[self.sep_token_id]
             _lowerCamelCase	:		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						:					Dict      ,       lowercase_						:					str      ,       lowercase_						:					Optional[str] = None			) ->						Tuple[str]:
             """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(lowercase_			):
                    logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
                    return
             _lowerCamelCase	:		int          =os.path.join(
                 lowercase_      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

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

             return (out_vocab_file,)






      def 	lowerCamelCase	( self						:					Union[str, Any]      ,       lowercase_						:					List[Any]      ,       *lowercase_						:					int      ,       **lowercase_						:					str			) ->						Optional[Any]:
             """simple docstring"""




             _lowerCamelCase	:		Tuple          =[
                 ' '.join([x.translate(self.translator			) for x in self.jieba.cut(lowercase_      ,       cut_all=lowercase_			)]			)
                 for text in batch_text_or_text_pairs
             ]
             return super()._batch_encode_plus(lowercase_      ,       *lowercase_      ,       **lowercase_			)






      def 	lowerCamelCase	( self						:					Optional[int]      ,       *lowercase_						:					List[Any]      ,       **lowercase_						:					Dict			) ->						List[Any]:
             """simple docstring"""




             _lowerCamelCase	:		int          =super()._decode(*lowercase_      ,       **lowercase_			)
             _lowerCamelCase	:		List[Any]          =text.replace(' '      ,       ''			).replace('\u2582'      ,       ' '			).replace('\u2583'      ,       '\n'			)
             return text






import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey

from digital_image_processing.filters.convolve import img_convolve




def      a_				(   SCREAMING_SNAKE_CASE__ :				Optional[Any]					):
       '''simple docstring'''





       _lowerCamelCase	:		List[str]          =np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]					)
       _lowerCamelCase	:		Dict          =np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]					)

       _lowerCamelCase	:		Optional[Any]          =np.abs(img_convolve(SCREAMING_SNAKE_CASE__		,      SCREAMING_SNAKE_CASE__					)					)
       _lowerCamelCase	:		Optional[int]          =np.abs(img_convolve(SCREAMING_SNAKE_CASE__		,      SCREAMING_SNAKE_CASE__					)					)
       # modify the pix within [0, 255]
       _lowerCamelCase	:		Optional[int]          =dst_x * 255 / np.max(SCREAMING_SNAKE_CASE__					)
       _lowerCamelCase	:		Any          =dst_y * 255 / np.max(SCREAMING_SNAKE_CASE__					)

       _lowerCamelCase	:		Tuple          =np.sqrt((np.square(SCREAMING_SNAKE_CASE__					)) + (np.square(SCREAMING_SNAKE_CASE__					))					)
       _lowerCamelCase	:		int          =dst_xy * 255 / np.max(SCREAMING_SNAKE_CASE__					)
       _lowerCamelCase	:		int          =dst_xy.astype(np.uinta					)

       _lowerCamelCase	:		Optional[int]          =np.arctana(SCREAMING_SNAKE_CASE__		,      SCREAMING_SNAKE_CASE__					)
       return dst, theta


if __name__ == "__main__":
 # read original image
 lowerCamelCase						 =	imread('../image_data/lena.jpg')
 # turn image in gray scale value
 lowerCamelCase						 =	cvtColor(img, COLOR_BGR2GRAY)

 lowerCamelCase ,    lowerCamelCase						 =	sobel_filter(gray)

 # show result images
 imshow('sobel filter', sobel_grad)
 imshow('sobel theta', sobel_theta)
 waitKey(0)


