



'''simple docstring'''





import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


A_		:     Union[str, Any]        =     logging.get_logger(__name__)

A_		:     Union[str, Any]        =     {'''vocab_file''': '''vocab.txt''', '''emoji_file''': '''emoji.json'''}

A_		:     str        =     {
    '''vocab_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt''',
    },
    '''emoji_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json''',
    },
}

A_		:     Tuple        =     {
    '''abeja/gpt-neox-japanese-2.7b''': 20_48,
}


def 	UpperCAmelCase__      (      UpperCAmelCase__ :List[str] ,					UpperCAmelCase__ :Optional[int]					):






 '''simple docstring'''

 with open(A__ ,					"r" ,					encoding="utf-8"					) as f:
  a						=		json.loads(f.read()					)

 a						=		collections.OrderedDict()
 a						=		collections.OrderedDict()
 a						=		collections.OrderedDict()
 with open(A__ ,					"r" ,					encoding="utf-8"					) as f:
  a						=		f.readlines()
 a						=		[[t.rstrip("\n"					)] if (t == "," or "," not in t) else t.rstrip("\n"					).split(","					) for t in token]
 for idx, b in enumerate(A__					):
  a						=		b
  a						=		idx
  for wd in b:
   a						=		idx

 return vocab, raw_vocab, ids_to_tokens, emoji



class 		_lowercase		(       __lowerCamelCase	):
   _UpperCAmelCase     	=			VOCAB_FILES_NAMES
   _UpperCAmelCase     	=			PRETRAINED_VOCAB_FILES_MAP
   _UpperCAmelCase     	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCAmelCase     	=			['input_ids', 'attention_mask']

   def __init__(      self			:       Optional[Any]							,   __lowerCAmelCase			:       Tuple							,   __lowerCAmelCase			:       List[str]							,   __lowerCAmelCase			:       str="<|endoftext|>"							,   __lowerCAmelCase			:       Dict="<|endoftext|>"							,   __lowerCAmelCase			:       List[str]="<|startoftext|>"							,   __lowerCAmelCase			:       List[Any]="<|endoftext|>"							,   __lowerCAmelCase			:       Optional[Any]=False							,   **__lowerCAmelCase			:       Tuple							,   )       ->				str:


    """simple docstring"""






    super().__init__(
        unk_token=UpperCamelCase_							,   pad_token=UpperCamelCase_							,   bos_token=UpperCamelCase_							,   eos_token=UpperCamelCase_							,   do_clean_text=UpperCamelCase_							,   **UpperCamelCase_							,   )
    if not os.path.isfile(UpperCamelCase_							):
     raise ValueError(
         f"""Can\'t find a vocabulary file at path \'{vocab_file}\'. To load the vocabulary from a Google pretrained"""
         " model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"							)
    if not os.path.isfile(UpperCamelCase_							):
     raise ValueError(
         f"""Can\'t find a emoji file at path \'{emoji_file}\'. To load the emoji information from a Google"""
         " pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"							)
    a						=		do_clean_text
    a		,  a		,  a		,  a						=		load_vocab_and_emoji(UpperCamelCase_							,   UpperCamelCase_							)
    a						=		SubWordJapaneseTokenizer(
        vocab=self.vocab							,   ids_to_tokens=self.ids_to_tokens							,   emoji=self.emoji							)

   @property
   def 		A							(      self			:       Tuple							)       ->				List[Any]:


    """simple docstring"""






    return len(self.raw_vocab							)

   def 		A							(      self			:       List[Any]							)       ->				Optional[int]:


    """simple docstring"""






    return dict(self.raw_vocab							,   **self.added_tokens_encoder							)

   def 		A							(      self			:       Optional[int]							,   __lowerCAmelCase			:       Dict							)       ->				Any:


    """simple docstring"""






    return self.subword_tokenizer.tokenize(UpperCamelCase_							,   clean=self.do_clean_text							)

   def 		A							(      self			:       str							,   __lowerCAmelCase			:       Optional[Any]							)       ->				str:


    """simple docstring"""






    return self.vocab.get(UpperCamelCase_							,   self.vocab.get(self.unk_token							)							)

   def 		A							(      self			:       List[Any]							,   __lowerCAmelCase			:       Any							)       ->				Dict:


    """simple docstring"""






    return self.subword_tokenizer.convert_id_to_token(UpperCamelCase_							)

   def 		A							(      self			:       List[Any]							,   __lowerCAmelCase			:       Optional[Any]							)       ->				str:


    """simple docstring"""






    a						=		"".join(UpperCamelCase_							).strip()
    return out_string

   def 		A							(      self			:       Optional[Any]							,   __lowerCAmelCase			:       "Conversation"							)       ->				Any:


    """simple docstring"""






    a						=		[]
    for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(UpperCamelCase_							,   add_special_tokens=UpperCamelCase_							) + [self.eos_token_id]							)

    if len(UpperCamelCase_							) > self.model_max_length:
     a						=		input_ids[-self.model_max_length :]
    return input_ids




   def 		A							(      self			:       List[Any]							,   __lowerCAmelCase			:       str							,   __lowerCAmelCase			:       Optional[str] = None							)       ->				List[Any]:


    """simple docstring"""






    a						=		0
    if os.path.isdir(UpperCamelCase_							):
     a						=		os.path.join(
         UpperCamelCase_							,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)
     a						=		os.path.join(
         UpperCamelCase_							,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"]							)
    else:
     a						=		(
         (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
     )
     a						=		(
         (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["emoji_file"]
     )
    with open(UpperCamelCase_							,   "w"							,   encoding="utf-8"							) as writer:
     for token_index, token in self.ids_to_tokens.items():
      if index != token_index:
       logger.warning(
           f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
           " Please check that the vocabulary is not corrupted!"							)
       a						=		token_index
      writer.write(",".join(UpperCamelCase_							) + "\n"							)
      index += 1
    with open(UpperCamelCase_							,   "w"							,   encoding="utf-8"							) as writer:
     json.dump(self.emoji							,   UpperCamelCase_							)
    return vocab_file, emoji_file



class 		_lowercase		(       __lowerCamelCase	):

   def __init__(      self			:       List[Any]							,   __lowerCAmelCase			:       Any							,   __lowerCAmelCase			:       Dict							,   __lowerCAmelCase			:       int							)       ->				List[Any]:


    """simple docstring"""






    a						=		vocab  # same as swe
    a						=		ids_to_tokens  # same as bpe
    a						=		emoji
    a						=		np.max([len(UpperCamelCase_							) for w in self.vocab.keys()]							)
    a						=		re.compile(R"(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)"							)
    a						=		re.compile(R"[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*"							)
    a						=		re.compile(R"[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}"							)
    a						=		re.compile(
        R"([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"							)
    a						=		re.compile(
        R"(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"							)
    a						=		re.compile(
        R"((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*"							)
    a						=		"─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"
    a						=		"▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"
    a						=		str.maketrans({k: "<BLOCK>" for k in keisen + blocks}							)

   def __len__(      self			:       int							)       ->				Optional[Any]:


    """simple docstring"""






    return len(self.ids_to_tokens							)

   def 		A							(      self			:       List[str]							,   __lowerCAmelCase			:       List[Any]							)       ->				Optional[int]:


    """simple docstring"""






    a						=		self.content_repattera.sub("<URL>"							,   UpperCamelCase_							)
    a						=		self.content_repattera.sub("<EMAIL>"							,   UpperCamelCase_							)
    a						=		self.content_repattera.sub("<TEL>"							,   UpperCamelCase_							)
    a						=		self.content_repattera.sub("<DATE>"							,   UpperCamelCase_							)
    a						=		self.content_repattera.sub("<DATE>"							,   UpperCamelCase_							)
    a						=		self.content_repattera.sub("<PRICE>"							,   UpperCamelCase_							)
    a						=		content.translate(self.content_transa							)
    while "<BLOCK><BLOCK>" in content:
     a						=		content.replace("<BLOCK><BLOCK>"							,   "<BLOCK>"							)
    return content

   def 		A							(      self			:       Union[str, Any]							,   __lowerCAmelCase			:       Optional[Any]							,   __lowerCAmelCase			:       str=False							)       ->				List[Any]:


    """simple docstring"""






    a						=		text.replace(" "							,   "<SP>"							)
    a						=		text.replace("　"							,   "<SP>"							)
    a						=		text.replace("\r\n"							,   "<BR>"							)
    a						=		text.replace("\n"							,   "<BR>"							)
    a						=		text.replace("\r"							,   "<BR>"							)
    a						=		text.replace("\t"							,   "<TAB>"							)
    a						=		text.replace("—"							,   "ー"							)
    a						=		text.replace("−"							,   "ー"							)
    for k, v in self.emoji["emoji"].items():
     if k in text:
      a						=		text.replace(UpperCamelCase_							,   UpperCamelCase_							)
    if clean:
     a						=		self.clean_text(UpperCamelCase_							)

    def check_simbol(__lowerCAmelCase			:       int							):
     a						=		x.encode()
     if len(UpperCamelCase_							) == 1 and len(UpperCamelCase_							) == 2:
      a						=		(int(e[0]							) << 8) + int(e[1]							)
      if (
          (c >= 0Xc_2a1 and c <= 0Xc_2bf)
          or (c >= 0Xc_780 and c <= 0Xc_783)
          or (c >= 0Xc_ab9 and c <= 0Xc_bbf)
          or (c >= 0Xc_c80 and c <= 0Xc_da2)
      ):
       return True
     return False

    def checkuae(__lowerCAmelCase			:       Optional[Any]							):
     a						=		x.encode()
     if len(UpperCamelCase_							) == 1 and len(UpperCamelCase_							) == 3:
      a						=		(int(e[0]							) << 16) + (int(e[1]							) << 8) + int(e[2]							)
      if c >= 0Xe28_080 and c <= 0Xe2b_07f:
       return True
     return False

    a						=		0
    a						=		[]
    while pos < len(UpperCamelCase_							):
     a						=		min(len(UpperCamelCase_							)							,   pos + self.maxlen + 1							) if text[pos] == "<" else pos + 3
     a						=		[]  # (token_id, token, pos)
     for e in range(UpperCamelCase_							,   UpperCamelCase_							,   -1							):
      a						=		text[pos:e]
      if wd in self.vocab:
       if wd[0] == "<" and len(UpperCamelCase_							) > 2:
        a						=		[(self.vocab[wd], wd, e)]
        break
       else:
        candidates.append((self.vocab[wd], wd, e)							)
     if len(UpperCamelCase_							) > 0:
      # the smallest token_id is adopted
      a		,  a		,  a						=		sorted(UpperCamelCase_							,   key=lambda __lowerCAmelCase							: x[0]							)[0]
      result.append(UpperCamelCase_							)
      a						=		e
     else:
      a						=		pos + 1
      a						=		text[pos:end]
      if check_simbol(UpperCamelCase_							):
       result.append("<KIGOU>"							)
      elif checkuae(UpperCamelCase_							):
       result.append("<U2000U2BFF>"							)
      else:
       for i in wd.encode("utf-8"							):
        result.append("<|byte%d|>" % i							)
      a						=		end
    return result




   def 		A							(      self			:       Any							,   __lowerCAmelCase			:       Dict							,   __lowerCAmelCase			:       Union[str, Any]="\n"							)       ->				List[str]:


    """simple docstring"""






    a						=		[]
    a						=		[]
    a						=		self.ids_to_tokens[index][0]
    if word[:6] == "<|byte" and word[-2:] == "|>":
     byte_tokens.append(int(word[6:-2]							)							)
    else:
     if len(UpperCamelCase_							) > 0:
      words.append(bytearray(UpperCamelCase_							).decode("utf-8"							,   errors="replace"							)							)
      a						=		[]
     if word[:7] == "<|emoji" and word[-2:] == "|>":
      words.append(self.emoji["emoji_inv"][word]							)
     elif word == "<SP>":
      words.append(" "							)
     elif word == "<BR>":
      words.append(UpperCamelCase_							)
     elif word == "<TAB>":
      words.append("\t"							)
     elif word == "<BLOCK>":
      words.append("▀"							)
     elif word == "<KIGOU>":
      words.append("ǀ"							)
     elif word == "<U2000U2BFF>":
      words.append("‖"							)
     else:
      words.append(UpperCamelCase_							)
    if len(UpperCamelCase_							) > 0:
     words.append(bytearray(UpperCamelCase_							).decode("utf-8"							,   errors="replace"							)							)
    a						=		"".join(UpperCamelCase_							)
    return text






import copy
import os

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



class 		_lowercase		:

   def __init__(      self			:       List[str]							)       ->				List[str]:


    """simple docstring"""






    a						=		""
    a						=		""
    a						=		[]
    a						=		0
    a						=		256
    a						=		0
    a						=		0
    a						=		0
    a						=		0

   def 		A							(      self			:       Optional[Any]							,   __lowerCAmelCase			:       Any							)       ->				int:


    """simple docstring"""






    a						=		cva.imread(__lowerCAmelCase							,   0							)
    a						=		copy.deepcopy(self.img							)
    a		,  a		,  a						=		plt.hist(self.img.ravel()							,   256							,   [0, 256]							,   label="x"							)
    a						=		np.sum(__lowerCAmelCase							)
    for i in range(len(__lowerCAmelCase							)							):
     a						=		x[i] / self.k
     self.sk += prk
     a						=		(self.L - 1) * self.sk
     if self.rem != 0:
      a						=		int(last % last							)
     a						=		int(last + 1 if self.rem >= 0.5 else last							)
     self.last_list.append(__lowerCAmelCase							)
     a						=		int(np.ma.count(self.img							) / self.img[1].size							)
     a						=		self.img[1].size
    for i in range(self.number_of_cols							):
     for j in range(self.number_of_rows							):
      a						=		self.img[j][i]
      if num != self.last_list[num]:
       a						=		self.last_list[num]
    cva.imwrite("output_data/output.jpg"							,   self.img							)

   def 		A							(      self			:       Any							)       ->				int:


    """simple docstring"""






    plt.hist(self.img.ravel()							,   256							,   [0, 256]							)




   def 		A							(      self			:       Any							)       ->				int:


    """simple docstring"""






    cva.imshow("Output-Image"							,   self.img							)
    cva.imshow("Input-Image"							,   self.original_image							)
    cva.waitKey(5000							)
    cva.destroyAllWindows()


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

