



"""simple docstring"""

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


lowercase__    :  Optional[int]							    =	logging.get_logger(__name__)

lowercase__    :  Optional[Any]							    =	{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase__    :  List[str]							    =	{
    '''vocab_file''': {
        '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt''',
        '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt''',
        '''junnyu/roformer_chinese_char_small''': (
            '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'''
        ),
        '''junnyu/roformer_chinese_char_base''': (
            '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'''
        ),
        '''junnyu/roformer_small_discriminator''': (
            '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'''
        ),
        '''junnyu/roformer_small_generator''': (
            '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'''
        ),
    }
}

lowercase__    :  Dict							    =	{
    '''junnyu/roformer_chinese_small''': 15_36,
    '''junnyu/roformer_chinese_base''': 15_36,
    '''junnyu/roformer_chinese_char_small''': 5_12,
    '''junnyu/roformer_chinese_char_base''': 5_12,
    '''junnyu/roformer_small_discriminator''': 1_28,
    '''junnyu/roformer_small_generator''': 1_28,
}


lowercase__    :  Tuple							    =	{
    '''junnyu/roformer_chinese_small''': {'''do_lower_case''': True},
    '''junnyu/roformer_chinese_base''': {'''do_lower_case''': True},
    '''junnyu/roformer_chinese_char_small''': {'''do_lower_case''': True},
    '''junnyu/roformer_chinese_char_base''': {'''do_lower_case''': True},
    '''junnyu/roformer_small_discriminator''': {'''do_lower_case''': True},
    '''junnyu/roformer_small_generator''': {'''do_lower_case''': True},
}




class        _UpperCAmelCase       (			lowerCAmelCase__):
 _lowerCAmelCase   :			List[Any]							=		VOCAB_FILES_NAMES
 _lowerCAmelCase   :			str							=		PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase   :			Tuple							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase   :			Optional[Any]							=		PRETRAINED_INIT_CONFIGURATION
 _lowerCAmelCase   :			Optional[int]							=		RoFormerTokenizer

 def __init__(     self		:       Dict  ,     lowercase_		:       Dict=None  ,     lowercase_		:       Dict=None  ,     lowercase_		:       Any=True  ,     lowercase_		:       Optional[int]="[UNK]"  ,     lowercase_		:       Union[str, Any]="[SEP]"  ,     lowercase_		:       Dict="[PAD]"  ,     lowercase_		:       Any="[CLS]"  ,     lowercase_		:       Union[str, Any]="[MASK]"  ,     lowercase_		:       str=True  ,     lowercase_		:       int=None  ,     **lowercase_		:       Optional[Any]  ,     ):
     super().__init__(
         lowercase_  ,     tokenizer_file=lowercase_  ,     do_lower_case=lowercase_  ,     unk_token=lowercase_  ,     sep_token=lowercase_  ,     pad_token=lowercase_  ,     cls_token=lowercase_  ,     mask_token=lowercase_  ,     tokenize_chinese_chars=lowercase_  ,     strip_accents=lowercase_  ,     **lowercase_  ,     )

     snake_case_ :     int				=	json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
     if (
         pre_tok_state.get('''lowercase'''  ,     lowercase_				) != do_lower_case
         or pre_tok_state.get('''strip_accents'''  ,     lowercase_				) != strip_accents
     ):
         snake_case_ :     List[str]				=	getattr(lowercase_  ,     pre_tok_state.pop('''type'''				)				)
         snake_case_ :     Union[str, Any]				=	do_lower_case
         snake_case_ :     Optional[int]				=	strip_accents
         snake_case_ :     str				=	pre_tok_class(**lowercase_				)

     snake_case_ :     int				=	do_lower_case

 def __getstate__(     self		:       Dict				):
     snake_case_ :     Any				=	self.__dict__.copy()
     snake_case_ :     List[str]				=	BertPreTokenizer()
     return state

 def __setstate__(     self		:       int  ,     lowercase_		:       int				):
     snake_case_ :     str				=	d
     snake_case_ :     Union[str, Any]				=	self.__dict__['''_tokenizer'''].get_vocab()
     snake_case_ :     Optional[Any]				=	PreTokenizer.custom(JiebaPreTokenizer(lowercase_				)				)

 def 						_snake_case					(     self		:       Optional[Any]  ,     lowercase_		:       Dict  ,     lowercase_		:       Union[str, Any]=None				):
     snake_case_ :     int				=	[self.cls_token_id] + token_ids_a + [self.sep_token_id]

     if token_ids_a:
         output += token_ids_a + [self.sep_token_id]

     return output

 def 						_snake_case					(     self		:       str  ,     lowercase_		:       List[int]  ,     lowercase_		:       Optional[List[int]] = None				):
     snake_case_ :     Union[str, Any]				=	[self.sep_token_id]
     snake_case_ :     int				=	[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 						_snake_case					(     self		:       int  ,     lowercase_		:       str  ,     lowercase_		:       Optional[str] = None				):
     snake_case_ :     Tuple				=	self._tokenizer.model.save(lowercase_  ,     name=lowercase_				)
     return tuple(lowercase_				)






 def 						_snake_case					(     self		:       int  ,     lowercase_		:       int  ,     lowercase_		:       int=None  ,     lowercase_		:       Any=None  ,     lowercase_		:       List[Any]=False  ,     **lowercase_		:       str  ,     ):
     snake_case_ :     Dict				=	BertPreTokenizer()
     return super().save_pretrained(lowercase_  ,     lowercase_  ,     lowercase_  ,     lowercase_  ,     **lowercase_				)










"""simple docstring"""

import copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt




class        _UpperCAmelCase       :

 def __init__(     self		:       List[Any]				):
     snake_case_ :     List[str]				=	''''''
     snake_case_ :     Tuple				=	''''''
     snake_case_ :     int				=	[]
     snake_case_ :     Optional[int]				=	0
     snake_case_ :     Optional[Any]				=	256
     snake_case_ :     Tuple				=	0
     snake_case_ :     Tuple				=	0
     snake_case_ :     Optional[Any]				=	0
     snake_case_ :     Any				=	0

 def 						_snake_case					(     self		:       Optional[Any]  ,     lowercase_		:       List[Any]				):
     snake_case_ :     List[Any]				=	cva.imread(lowercase_  ,     0				)
     snake_case_ :     Tuple				=	copy.deepcopy(self.img				)
     snake_case_,	snake_case_,	snake_case_ :     List[Any]				=	plt.hist(self.img.ravel()  ,     256  ,     [0, 256]  ,     label='''x'''				)
     snake_case_ :     str				=	np.sum(lowercase_				)
     for i in range(len(lowercase_				)				):
         snake_case_ :     Optional[Any]				=	x[i] / self.k
         self.sk += prk
         snake_case_ :     Any				=	(self.L - 1) * self.sk
         if self.rem != 0:
             snake_case_ :     Dict				=	int(last % last				)
         snake_case_ :     Union[str, Any]				=	int(last + 1 if self.rem >= 0.5 else last				)
         self.last_list.append(lowercase_				)
         snake_case_ :     int				=	int(np.ma.count(self.img				) / self.img[1].size				)
         snake_case_ :     Tuple				=	self.img[1].size
     for i in range(self.number_of_cols				):
         for j in range(self.number_of_rows				):
             snake_case_ :     Union[str, Any]				=	self.img[j][i]
             if num != self.last_list[num]:
                 snake_case_ :     List[str]				=	self.last_list[num]
     cva.imwrite('''output_data/output.jpg'''  ,     self.img				)

 def 						_snake_case					(     self		:       Tuple				):
     plt.hist(self.img.ravel()  ,     256  ,     [0, 256]				)






 def 						_snake_case					(     self		:       int				):
     cva.imshow('''Output-Image'''  ,     self.img				)
     cva.imshow('''Input-Image'''  ,     self.original_image				)
     cva.waitKey(5000				)
     cva.destroyAllWindows()


if __name__ == "__main__":
     lowercase__    :  Any							    =	os.path.join(os.path.basename(__file__), '''image_data/input.jpg''')
     lowercase__    :  Any							    =	ConstantStretch()
     stretcher.stretch(file_path)
     stretcher.plot_histogram()
     stretcher.show_image()





