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


lowercase_     :   Dict 				=				logging.get_logger(__name__)

lowercase_     :   Any 				=				{'vocab_file': 'vocab.txt', 'emoji_file': 'emoji.json'}

lowercase_     :   List[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',
    },
}

lowercase_     :   Optional[Any] 				=				{
    'abeja/gpt-neox-japanese-2.7b': 2_0_4_8,
}







def 			A__      (	snake_case_ :		Optional[int]       ,				snake_case_ :		Optional[Any]      ):
 with open(__UpperCamelCase       ,				'''r'''       ,				encoding='''utf-8'''      ) as f:
  SCREAMING_SNAKE_CASE__:   Any=      json.loads(f.read()      )

 SCREAMING_SNAKE_CASE__:   Optional[Any]=      collections.OrderedDict()
 SCREAMING_SNAKE_CASE__:   Union[str, Any]=      collections.OrderedDict()
 SCREAMING_SNAKE_CASE__:   List[str]=      collections.OrderedDict()
 with open(__UpperCamelCase       ,				'''r'''       ,				encoding='''utf-8'''      ) as f:
  SCREAMING_SNAKE_CASE__:   Union[str, Any]=      f.readlines()
 SCREAMING_SNAKE_CASE__:   Dict=      [[t.rstrip('''\n'''      )] if (t == ''',''' or ''',''' not in t) else t.rstrip('''\n'''      ).split(''','''      ) for t in token]
 for idx, b in enumerate(__UpperCamelCase      ):
  SCREAMING_SNAKE_CASE__:   List[Any]=      b
  SCREAMING_SNAKE_CASE__:   int=      idx
  for wd in b:
   SCREAMING_SNAKE_CASE__:   Tuple=      idx

 return vocab, raw_vocab, ids_to_tokens, emoji






class 		_lowerCamelCase		(   UpperCamelCase_    ):
    __a  =      VOCAB_FILES_NAMES
    __a  =      PRETRAINED_VOCAB_FILES_MAP
    __a  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __a  =      ["input_ids", "attention_mask"]
    def __init__(  self , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase="<|endoftext|>" , lowerCAmelCase="<|endoftext|>" , lowerCAmelCase="<|startoftext|>" , lowerCAmelCase="<|endoftext|>" , lowerCAmelCase=False , **lowerCAmelCase , )       ->					Union[str, Any]:
     super().__init__(
         unk_token=_SCREAMING_SNAKE_CASE , pad_token=_SCREAMING_SNAKE_CASE , bos_token=_SCREAMING_SNAKE_CASE , eos_token=_SCREAMING_SNAKE_CASE , do_clean_text=_SCREAMING_SNAKE_CASE , **_SCREAMING_SNAKE_CASE , )
     if not os.path.isfile(_SCREAMING_SNAKE_CASE   ):
      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(_SCREAMING_SNAKE_CASE   ):
      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)`'''   )
     SCREAMING_SNAKE_CASE__:   Optional[int]=      do_clean_text
     SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__:   Any=      load_vocab_and_emoji(_SCREAMING_SNAKE_CASE , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      SubWordJapaneseTokenizer(
         vocab=self.vocab , ids_to_tokens=self.ids_to_tokens , emoji=self.emoji   )
    @property
    def 						UpperCamelCase_				(  self   )       ->					List[str]:
     return len(self.raw_vocab   )
    def 						UpperCamelCase_				(  self   )       ->					Any:
     return dict(self.raw_vocab , **self.added_tokens_encoder   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Union[str, Any]:
     return self.subword_tokenizer.tokenize(_SCREAMING_SNAKE_CASE , clean=self.do_clean_text   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					int:
     return self.vocab.get(_SCREAMING_SNAKE_CASE , self.vocab.get(self.unk_token   )   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Optional[Any]:
     return self.subword_tokenizer.convert_id_to_token(_SCREAMING_SNAKE_CASE   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Optional[Any]:
     SCREAMING_SNAKE_CASE__:   str=      ''''''.join(_SCREAMING_SNAKE_CASE   ).strip()
     return out_string
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					List[int]:
     SCREAMING_SNAKE_CASE__:   List[str]=      []
     for is_user, text in conversation.iter_texts():
      input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE , add_special_tokens=_SCREAMING_SNAKE_CASE   ) + [self.eos_token_id]   )

     if len(_SCREAMING_SNAKE_CASE   ) > self.model_max_length:
      SCREAMING_SNAKE_CASE__:   List[str]=      input_ids[-self.model_max_length :]
     return input_ids



    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase = None   )       ->					Tuple[str]:
     SCREAMING_SNAKE_CASE__:   int=      0
     if os.path.isdir(_SCREAMING_SNAKE_CASE   ):
      SCREAMING_SNAKE_CASE__:   Tuple=      os.path.join(
          _SCREAMING_SNAKE_CASE , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )
      SCREAMING_SNAKE_CASE__:   Dict=      os.path.join(
          _SCREAMING_SNAKE_CASE , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''emoji_file''']   )
     else:
      SCREAMING_SNAKE_CASE__:   Dict=      (
          (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''vocab_file''']
      )
      SCREAMING_SNAKE_CASE__:   Tuple=      (
          (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory + VOCAB_FILES_NAMES['''emoji_file''']
      )
     with open(_SCREAMING_SNAKE_CASE , '''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!'''   )
        SCREAMING_SNAKE_CASE__:   List[Any]=      token_index
       writer.write(''','''.join(_SCREAMING_SNAKE_CASE   ) + '''\n'''   )
       index += 1
     with open(_SCREAMING_SNAKE_CASE , '''w''' , encoding='''utf-8'''   ) as writer:
      json.dump(self.emoji , _SCREAMING_SNAKE_CASE   )
     return vocab_file, emoji_file






class 		_lowerCamelCase		(   UpperCamelCase_    ):
    def __init__(  self , lowerCAmelCase , lowerCAmelCase , lowerCAmelCase   )       ->					Tuple:
     SCREAMING_SNAKE_CASE__:   Optional[int]=      vocab  # same as swe
     SCREAMING_SNAKE_CASE__:   List[str]=      ids_to_tokens  # same as bpe
     SCREAMING_SNAKE_CASE__:   int=      emoji
     SCREAMING_SNAKE_CASE__:   int=      np.max([len(_SCREAMING_SNAKE_CASE   ) for w in self.vocab.keys()]   )
     SCREAMING_SNAKE_CASE__:   Any=      re.compile(r'''(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)'''   )
     SCREAMING_SNAKE_CASE__:   List[str]=      re.compile(r'''[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*'''   )
     SCREAMING_SNAKE_CASE__:   List[str]=      re.compile(r'''[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}'''   )
     SCREAMING_SNAKE_CASE__:   List[str]=      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|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'''   )
     SCREAMING_SNAKE_CASE__:   int=      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|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*'''   )
     SCREAMING_SNAKE_CASE__:   int=      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)*'''   )
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      '''─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿'''
     SCREAMING_SNAKE_CASE__:   Dict=      '''▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟'''
     SCREAMING_SNAKE_CASE__:   Tuple=      str.maketrans({k: '''<BLOCK>''' for k in keisen + blocks}   )
    def __len__(  self   )       ->					List[Any]:
     return len(self.ids_to_tokens   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   Any=      self.content_repattera.sub('''<URL>''' , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   List[str]=      self.content_repattera.sub('''<EMAIL>''' , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   Any=      self.content_repattera.sub('''<TEL>''' , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   Optional[int]=      self.content_repattera.sub('''<DATE>''' , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   str=      self.content_repattera.sub('''<DATE>''' , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   Tuple=      self.content_repattera.sub('''<PRICE>''' , _SCREAMING_SNAKE_CASE   )
     SCREAMING_SNAKE_CASE__:   List[Any]=      content.translate(self.content_transa   )
     while "<BLOCK><BLOCK>" in content:
      SCREAMING_SNAKE_CASE__:   List[str]=      content.replace('''<BLOCK><BLOCK>''' , '''<BLOCK>'''   )
     return content
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase=False   )       ->					int:
     SCREAMING_SNAKE_CASE__:   Dict=      text.replace(''' ''' , '''<SP>'''   )
     SCREAMING_SNAKE_CASE__:   Tuple=      text.replace('''　''' , '''<SP>'''   )
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      text.replace('''\r\n''' , '''<BR>'''   )
     SCREAMING_SNAKE_CASE__:   int=      text.replace('''\n''' , '''<BR>'''   )
     SCREAMING_SNAKE_CASE__:   int=      text.replace('''\r''' , '''<BR>'''   )
     SCREAMING_SNAKE_CASE__:   List[str]=      text.replace('''\t''' , '''<TAB>'''   )
     SCREAMING_SNAKE_CASE__:   List[str]=      text.replace('''—''' , '''ー'''   )
     SCREAMING_SNAKE_CASE__:   Tuple=      text.replace('''−''' , '''ー'''   )
     for k, v in self.emoji["emoji"].items():
      if k in text:
       SCREAMING_SNAKE_CASE__:   Dict=      text.replace(_SCREAMING_SNAKE_CASE , _SCREAMING_SNAKE_CASE   )
     if clean:
      SCREAMING_SNAKE_CASE__:   Any=      self.clean_text(_SCREAMING_SNAKE_CASE   )

     def check_simbol(lowerCAmelCase   ):
      SCREAMING_SNAKE_CASE__:   int=      x.encode()
      if len(_SCREAMING_SNAKE_CASE   ) == 1 and len(_SCREAMING_SNAKE_CASE   ) == 2:
       SCREAMING_SNAKE_CASE__:   Union[str, Any]=      (int(e[0]   ) << 8) + int(e[1]   )
       if (
           (c >= 0Xc_2_a_1 and c <= 0Xc_2_b_f)
           or (c >= 0Xc_7_8_0 and c <= 0Xc_7_8_3)
           or (c >= 0Xc_a_b_9 and c <= 0Xc_b_b_f)
           or (c >= 0Xc_c_8_0 and c <= 0Xc_d_a_2)
       ):
        return True
      return False

     def checkuae(lowerCAmelCase   ):
      SCREAMING_SNAKE_CASE__:   Optional[int]=      x.encode()
      if len(_SCREAMING_SNAKE_CASE   ) == 1 and len(_SCREAMING_SNAKE_CASE   ) == 3:
       SCREAMING_SNAKE_CASE__:   List[str]=      (int(e[0]   ) << 16) + (int(e[1]   ) << 8) + int(e[2]   )
       if c >= 0Xe_2_8_0_8_0 and c <= 0Xe_2_b_0_7_f:
        return True
      return False

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



    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase="\n"   )       ->					List[Any]:
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      []
     SCREAMING_SNAKE_CASE__:   Dict=      []
     SCREAMING_SNAKE_CASE__:   str=      self.ids_to_tokens[index][0]
     if word[:6] == "<|byte" and word[-2:] == "|>":
      byte_tokens.append(int(word[6:-2]   )   )
     else:
      if len(_SCREAMING_SNAKE_CASE   ) > 0:
       words.append(bytearray(_SCREAMING_SNAKE_CASE   ).decode('''utf-8''' , errors='''replace'''   )   )
       SCREAMING_SNAKE_CASE__:   List[str]=      []
      if word[:7] == "<|emoji" and word[-2:] == "|>":
       words.append(self.emoji['''emoji_inv'''][word]   )
      elif word == "<SP>":
       words.append(''' '''   )
      elif word == "<BR>":
       words.append(_SCREAMING_SNAKE_CASE   )
      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(_SCREAMING_SNAKE_CASE   )
     if len(_SCREAMING_SNAKE_CASE   ) > 0:
      words.append(bytearray(_SCREAMING_SNAKE_CASE   ).decode('''utf-8''' , errors='''replace'''   )   )
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      ''''''.join(_SCREAMING_SNAKE_CASE   )
     return text


import os







def 			A__      (	snake_case_ :		str = "matrix.txt"      ):
 with open(os.path.join(os.path.dirname(snake_case_      )       ,				snake_case_      )      ) as in_file:
  SCREAMING_SNAKE_CASE__:   Dict=      in_file.read()

 SCREAMING_SNAKE_CASE__:   Optional[int]=      [[int(snake_case_      ) for cell in row.split(''','''      )] for row in data.strip().splitlines()]
 SCREAMING_SNAKE_CASE__:   int=      [[0 for cell in row] for row in grid]
 SCREAMING_SNAKE_CASE__:   Dict=      len(grid[0]      )

 SCREAMING_SNAKE_CASE__:   Dict=      [[0 for i in range(snake_case_      )] for j in range(snake_case_      )]
 SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][0]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][i] + dp[0][i - 1]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   List[Any]=      grid[i][0] + dp[i - 1][0]

 for i in range(1       ,				snake_case_      ):
  for j in range(1       ,				snake_case_      ):
   SCREAMING_SNAKE_CASE__:   Dict=      grid[i][j] + min(dp[i - 1][j]       ,				dp[i][j - 1]      )

 return dp[-1][-1]


if __name__ == "__main__":
      print(f'''{solution() = }''')

