



"""simple docstring"""

import os
import re
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 logging


lowercase__    :  Any							    =	logging.get_logger(__name__)

lowercase__    :  str							    =	{'''vocab_file''': '''spiece.model'''}

lowercase__    :  Dict							    =	{
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    }
}

lowercase__    :  Any							    =	{
    '''google/bigbird-roberta-base''': 40_96,
    '''google/bigbird-roberta-large''': 40_96,
    '''google/bigbird-base-trivia-itc''': 40_96,
}




class        _UpperCAmelCase       (			lowerCAmelCase__):
 _lowerCAmelCase   :			Union[str, Any]							=		VOCAB_FILES_NAMES
 _lowerCAmelCase   :			Any							=		PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase   :			Tuple							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase   :			int							=		["""input_ids""", """attention_mask"""]
 _lowerCAmelCase   :			List[int]							=		[]

 def __init__(     self		:       Any  ,     lowercase_		:       Optional[int]  ,     lowercase_		:       Union[str, Any]="<unk>"  ,     lowercase_		:       Dict="<s>"  ,     lowercase_		:       Optional[Any]="</s>"  ,     lowercase_		:       Union[str, Any]="<pad>"  ,     lowercase_		:       Dict="[SEP]"  ,     lowercase_		:       int="[MASK]"  ,     lowercase_		:       str="[CLS]"  ,     lowercase_		:       Optional[Dict[str, Any]] = None  ,     **lowercase_		:       int  ,     ):
     snake_case_ :     int				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else bos_token
     snake_case_ :     List[str]				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else eos_token
     snake_case_ :     Optional[int]				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else unk_token
     snake_case_ :     Any				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else pad_token
     snake_case_ :     List[str]				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else cls_token
     snake_case_ :     List[str]				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else sep_token

     # Mask token behave like a normal word, i.e. include the space before it
     snake_case_ :     Optional[int]				=	AddedToken(lowercase_  ,     lstrip=lowercase_  ,     rstrip=lowercase_				) if isinstance(lowercase_  ,     lowercase_				) else mask_token

     snake_case_ :     Tuple				=	{} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         bos_token=lowercase_  ,     eos_token=lowercase_  ,     unk_token=lowercase_  ,     pad_token=lowercase_  ,     sep_token=lowercase_  ,     mask_token=lowercase_  ,     cls_token=lowercase_  ,     sp_model_kwargs=self.sp_model_kwargs  ,     **lowercase_  ,     )

     snake_case_ :     Optional[Any]				=	vocab_file

     snake_case_ :     Optional[int]				=	spm.SentencePieceProcessor(**self.sp_model_kwargs				)
     self.sp_model.Load(lowercase_				)

 @property
 def 						_snake_case					(     self		:       Union[str, Any]				):
     return self.sp_model.get_piece_size()

 def 						_snake_case					(     self		:       Dict				):
     snake_case_ :     Union[str, Any]				=	{self.convert_ids_to_tokens(lowercase_				): i for i in range(self.vocab_size				)}
     vocab.update(self.added_tokens_encoder				)
     return vocab

 def __getstate__(     self		:       Optional[int]				):
     snake_case_ :     Any				=	self.__dict__.copy()
     snake_case_ :     Dict				=	None
     return state

 def __setstate__(     self		:       Dict  ,     lowercase_		:       Tuple				):
     snake_case_ :     Optional[int]				=	d

     # for backward compatibility
     if not hasattr(self  ,     '''sp_model_kwargs'''				):
         snake_case_ :     Union[str, Any]				=	{}

     snake_case_ :     int				=	spm.SentencePieceProcessor(**self.sp_model_kwargs				)
     self.sp_model.Load(self.vocab_file				)

 def 						_snake_case					(     self		:       List[Any]  ,     lowercase_		:       str				):
     return self.sp_model.encode(lowercase_  ,     out_type=lowercase_				)

 def 						_snake_case					(     self		:       str  ,     lowercase_		:       Optional[int]				):
     return self.sp_model.piece_to_id(lowercase_				)

 def 						_snake_case					(     self		:       Optional[Any]  ,     lowercase_		:       List[str]				):
     snake_case_ :     Optional[Any]				=	self.sp_model.IdToPiece(lowercase_				)
     return token

 def 						_snake_case					(     self		:       Union[str, Any]  ,     lowercase_		:       str				):
     snake_case_ :     Dict				=	[]
     snake_case_ :     int				=	''''''
     snake_case_ :     Tuple				=	False
     for token in tokens:
         # make sure that special tokens are not decoded using sentencepiece model
         if token in self.all_special_tokens:
             if not prev_is_special:
                 out_string += " "
             out_string += self.sp_model.decode(lowercase_				) + token
             snake_case_ :     str				=	True
             snake_case_ :     int				=	[]
         else:
             current_sub_tokens.append(lowercase_				)
             snake_case_ :     List[str]				=	False
     out_string += self.sp_model.decode(lowercase_				)
     return out_string.strip()

 def 						_snake_case					(     self		:       Optional[int]  ,     lowercase_		:       List[int]  ,     lowercase_		:       bool = False  ,     lowercase_		:       bool = None  ,     lowercase_		:       bool = True  ,     **lowercase_		:       Dict  ,     ):
     snake_case_ :     Dict				=	kwargs.pop('''use_source_tokenizer'''  ,     lowercase_				)

     snake_case_ :     List[str]				=	self.convert_ids_to_tokens(lowercase_  ,     skip_special_tokens=lowercase_				)

     # 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
     snake_case_ :     Optional[int]				=	[]
     snake_case_ :     Tuple				=	[]
     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(lowercase_				)				)
                 snake_case_ :     Any				=	[]
             sub_texts.append(lowercase_				)
         else:
             current_sub_text.append(lowercase_				)
     if current_sub_text:
         sub_texts.append(self.convert_tokens_to_string(lowercase_				)				)

     # Mimic the behavior of the Rust tokenizer:
     # No space before [MASK] and [SEP]
     if spaces_between_special_tokens:
         snake_case_ :     Optional[Any]				=	re.sub(r''' (\[(MASK|SEP)\])'''  ,     r'''\1'''  ,     ''' '''.join(lowercase_				)				)
     else:
         snake_case_ :     str				=	''''''.join(lowercase_				)

     snake_case_ :     Optional[int]				=	(
         clean_up_tokenization_spaces
         if clean_up_tokenization_spaces is not None
         else self.clean_up_tokenization_spaces
     )
     if clean_up_tokenization_spaces:
         snake_case_ :     Any				=	self.clean_up_tokenization(lowercase_				)
         return clean_text
     else:
         return text

 def 						_snake_case					(     self		:       Dict  ,     lowercase_		:       str  ,     lowercase_		:       Optional[str] = None				):
     if not os.path.isdir(lowercase_				):
         logger.error(f"Vocabulary path ({save_directory}) should be a directory"				)
         return
     snake_case_ :     Union[str, Any]				=	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_				) and os.path.isfile(self.vocab_file				):
         copyfile(self.vocab_file  ,     lowercase_				)
     elif not os.path.isfile(self.vocab_file				):
         with open(lowercase_  ,     '''wb'''				) as fi:
             snake_case_ :     str				=	self.sp_model.serialized_model_proto()
             fi.write(lowercase_				)

     return (out_vocab_file,)

 def 						_snake_case					(     self		:       int  ,     lowercase_		:       List[int]  ,     lowercase_		:       Optional[List[int]] = None				):
     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     snake_case_ :     Dict				=	[self.cls_token_id]
     snake_case_ :     Optional[Any]				=	[self.sep_token_id]
     return cls + token_ids_a + sep + token_ids_a + sep

 def 						_snake_case					(     self		:       Union[str, Any]  ,     lowercase_		:       List[int]  ,     lowercase_		:       Optional[List[int]] = None  ,     lowercase_		:       bool = False				):
     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=lowercase_  ,     token_ids_a=lowercase_  ,     already_has_special_tokens=lowercase_				)

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






 def 						_snake_case					(     self		:       List[str]  ,     lowercase_		:       List[int]  ,     lowercase_		:       Optional[List[int]] = None				):
     snake_case_ :     List[Any]				=	[self.sep_token_id]
     snake_case_ :     Optional[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]










"""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()





