'''simple docstring'''

import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A_     :						Optional[Any]    							=logging.get_logger(__name__)


A_     :						Dict    							={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all BART models at https://huggingface.co/models?filter=bart
A_     :						str    							={
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
}

A_     :						Dict    							={
    '''facebook/bart-base''': 10_24,
    '''facebook/bart-large''': 10_24,
    '''facebook/bart-large-mnli''': 10_24,
    '''facebook/bart-large-cnn''': 10_24,
    '''facebook/bart-large-xsum''': 10_24,
    '''yjernite/bart_eli5''': 10_24,
}



@lru_cache()
def snake_case_      (					)			->					List[str]:
   lowerCAmelCase_			=      (
       list(range(ord('''!''')	,   ord('''~''') + 1)) + list(range(ord('''¡''')	,   ord('''¬''') + 1)) + list(range(ord('''®''')	,   ord('''ÿ''') + 1))
   )
   lowerCAmelCase_			=      bs[:]
   lowerCAmelCase_			=      0
   for b in range(2**8):
      if b not in bs:
         bs.append(__snake_case)
         cs.append(2**8 + n)
         n += 1
   lowerCAmelCase_			=      [chr(__snake_case) for n in cs]
   return dict(zip(__snake_case	,   __snake_case))



def snake_case_      (					__snake_case  :							Dict)			->					str:
   lowerCAmelCase_			=      set()
   lowerCAmelCase_			=      word[0]
   for char in word[1:]:
      pairs.add((prev_char, char))
      lowerCAmelCase_			=      char
   return pairs






class     __UpperCAmelCase       ( __a		):
  __A :				int											= VOCAB_FILES_NAMES
  __A :				Dict											= PRETRAINED_VOCAB_FILES_MAP
  __A :				List[Any]											= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __A :				str											= ['input_ids', 'attention_mask']





  def __init__(	self    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase="replace"    ,     _lowerCamelCase="<s>"    ,     _lowerCamelCase="</s>"    ,     _lowerCamelCase="</s>"    ,     _lowerCamelCase="<s>"    ,     _lowerCamelCase="<unk>"    ,     _lowerCamelCase="<pad>"    ,     _lowerCamelCase="<mask>"    ,     _lowerCamelCase=False    ,     **_lowerCamelCase    ,     ):
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else bos_token
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else eos_token
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else sep_token
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else cls_token
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else unk_token
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else pad_token

     # Mask token behave like a normal word, i.e. include the space before it
     lowerCAmelCase_			=      AddedToken(_lowerCamelCase    ,     lstrip=_lowerCamelCase    ,     rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase    ,     _lowerCamelCase ) else mask_token

     super().__init__(
         errors=_lowerCamelCase    ,     bos_token=_lowerCamelCase    ,     eos_token=_lowerCamelCase    ,     unk_token=_lowerCamelCase    ,     sep_token=_lowerCamelCase    ,     cls_token=_lowerCamelCase    ,     pad_token=_lowerCamelCase    ,     mask_token=_lowerCamelCase    ,     add_prefix_space=_lowerCamelCase    ,     **_lowerCamelCase    ,     )

     with open(_lowerCamelCase    ,     encoding='''utf-8''' ) as vocab_handle:
        lowerCAmelCase_			=      json.load(_lowerCamelCase )
     lowerCAmelCase_			=      {v: k for k, v in self.encoder.items()}
     lowerCAmelCase_			=      errors  # how to handle errors in decoding
     lowerCAmelCase_			=      bytes_to_unicode()
     lowerCAmelCase_			=      {v: k for k, v in self.byte_encoder.items()}
     with open(_lowerCamelCase    ,     encoding='''utf-8''' ) as merges_handle:
        lowerCAmelCase_			=      merges_handle.read().split('''\n''' )[1:-1]
     lowerCAmelCase_			=      [tuple(merge.split() ) for merge in bpe_merges]
     lowerCAmelCase_			=      dict(zip(_lowerCamelCase    ,     range(len(_lowerCamelCase ) ) ) )
     lowerCAmelCase_			=      {}
     lowerCAmelCase_			=      add_prefix_space

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     lowerCAmelCase_			=      re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+''' )





  @property
  def 						UpperCAmelCase_	(	self ):
     return len(self.encoder )





  def 						UpperCAmelCase_	(	self ):
     return dict(self.encoder    ,     **self.added_tokens_encoder )





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase ):
     if token in self.cache:
        return self.cache[token]
     lowerCAmelCase_			=      tuple(_lowerCamelCase )
     lowerCAmelCase_			=      get_pairs(_lowerCamelCase )

     if not pairs:
        return token

     while True:
        lowerCAmelCase_			=      min(_lowerCamelCase    ,     key=lambda _lowerCamelCase : self.bpe_ranks.get(_lowerCamelCase    ,     float('''inf''' ) ) )
        if bigram not in self.bpe_ranks:
           break
        lowerCAmelCase_	,lowerCAmelCase_			=      bigram
        lowerCAmelCase_			=      []
        lowerCAmelCase_			=      0
        while i < len(_lowerCamelCase ):
           try:
              lowerCAmelCase_			=      word.index(_lowerCamelCase    ,     _lowerCamelCase )
           except ValueError:
              new_word.extend(word[i:] )
              break
           else:
              new_word.extend(word[i:j] )
              lowerCAmelCase_			=      j

           if word[i] == first and i < len(_lowerCamelCase ) - 1 and word[i + 1] == second:
              new_word.append(first + second )
              i += 2
           else:
              new_word.append(word[i] )
              i += 1
        lowerCAmelCase_			=      tuple(_lowerCamelCase )
        lowerCAmelCase_			=      new_word
        if len(_lowerCamelCase ) == 1:
           break
        else:
           lowerCAmelCase_			=      get_pairs(_lowerCamelCase )
     lowerCAmelCase_			=      ''' '''.join(_lowerCamelCase )
     lowerCAmelCase_			=      word
     return word





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase ):
     lowerCAmelCase_			=      []
     for token in re.findall(self.pat    ,     _lowerCamelCase ):
        lowerCAmelCase_			=      ''''''.join(
            self.byte_encoder[b] for b in token.encode('''utf-8''' ) )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
        bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowerCamelCase ).split(''' ''' ) )
     return bpe_tokens





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase ):
     return self.encoder.get(_lowerCamelCase    ,     self.encoder.get(self.unk_token ) )





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase ):
     return self.decoder.get(_lowerCamelCase )





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase ):
     lowerCAmelCase_			=      ''''''.join(_lowerCamelCase )
     lowerCAmelCase_			=      bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8'''    ,     errors=self.errors )
     return text





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase = None ):
     if not os.path.isdir(_lowerCamelCase ):
        logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
        return
     lowerCAmelCase_			=      os.path.join(
         _lowerCamelCase    ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
     lowerCAmelCase_			=      os.path.join(
         _lowerCamelCase    ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )

     with open(_lowerCamelCase    ,     '''w'''    ,     encoding='''utf-8''' ) as f:
        f.write(json.dumps(self.encoder    ,     indent=2    ,     sort_keys=_lowerCamelCase    ,     ensure_ascii=_lowerCamelCase ) + '''\n''' )

     lowerCAmelCase_			=      0
     with open(_lowerCamelCase    ,     '''w'''    ,     encoding='''utf-8''' ) as writer:
        writer.write('''#version: 0.2\n''' )
        for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,     key=lambda _lowerCamelCase : kv[1] ):
           if index != token_index:
              logger.warning(
                  F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                  ''' Please check that the tokenizer is not corrupted!''' )
              lowerCAmelCase_			=      token_index
           writer.write(''' '''.join(_lowerCamelCase ) + '''\n''' )
           index += 1

     return vocab_file, merge_file





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase = None ):
     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     lowerCAmelCase_			=      [self.cls_token_id]
     lowerCAmelCase_			=      [self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase = None    ,     _lowerCamelCase = False ):
     if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=_lowerCamelCase    ,     token_ids_a=_lowerCamelCase    ,     already_has_special_tokens=_lowerCamelCase )

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





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase = None ):
     lowerCAmelCase_			=      [self.sep_token_id]
     lowerCAmelCase_			=      [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 + sep + token_ids_a + sep ) * [0]







  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase=False    ,     **_lowerCamelCase ):
     lowerCAmelCase_			=      kwargs.pop('''add_prefix_space'''    ,     self.add_prefix_space )
     if (is_split_into_words or add_prefix_space) and (len(_lowerCamelCase ) > 0 and not text[0].isspace()):
        lowerCAmelCase_			=      ''' ''' + text
     return (text, kwargs)






'''simple docstring'''

import os



def snake_case_      (					__snake_case  :							List[Any])			->					str:
   lowerCAmelCase_			=      len(grid[0])
   lowerCAmelCase_			=      len(__snake_case)

   lowerCAmelCase_			=      0
   lowerCAmelCase_			=      0
   lowerCAmelCase_			=      0

   # Check vertically, horizontally, diagonally at the same time (only works
   # for nxn grid)
   for i in range(__snake_case):
      for j in range(n_rows - 3):
         lowerCAmelCase_			=      grid[j][i] * grid[j + 1][i] * grid[j + 2][i] * grid[j + 3][i]
         lowerCAmelCase_			=      grid[i][j] * grid[i][j + 1] * grid[i][j + 2] * grid[i][j + 3]

         # Left-to-right diagonal (\) product
         if i < n_columns - 3:
            lowerCAmelCase_			=      (
                grid[i][j]
                * grid[i + 1][j + 1]
                * grid[i + 2][j + 2]
                * grid[i + 3][j + 3]
            )

         # Right-to-left diagonal(/) product
         if i > 2:
            lowerCAmelCase_			=      (
                grid[i][j]
                * grid[i - 1][j + 1]
                * grid[i - 2][j + 2]
                * grid[i - 3][j + 3]
            )

         lowerCAmelCase_			=      max(
             __snake_case	,   __snake_case	,   __snake_case	,   __snake_case)
         if max_product > largest:
            lowerCAmelCase_			=      max_product

   return largest



def snake_case_      (					)			->					List[Any]:
   lowerCAmelCase_			=      []
   with open(os.path.dirname(__snake_case) + '''/grid.txt''') as file:
      for line in file:
         grid.append(line.strip('''\n''').split(''' '''))

   lowerCAmelCase_			=      [[int(__snake_case) for i in grid[j]] for j in range(len(__snake_case))]

   return largest_product(__snake_case)


if __name__ == "__main__":
 print(solution())





