'''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: str          =   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: int          =   {
    """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: List[str]          =   {
    """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 			__UpperCamelCase       (   ):
 lowercase__				:    Optional[int]  =					(
     list(range(ord('''!'''     )		,     ord('''~'''     ) + 1     )     ) + list(range(ord('''¡'''     )		,     ord('''¬'''     ) + 1     )     ) + list(range(ord('''®'''     )		,     ord('''ÿ'''     ) + 1     )     )
 )
 lowercase__				:    List[Any]  =					bs[:]
 lowercase__				:    Tuple  =					0
 for b in range(2**8     ):
  if b not in bs:
   bs.append(UpperCAmelCase     )
   cs.append(2**8 + n     )
   n += 1
 lowercase__				:    int  =					[chr(UpperCAmelCase     ) for n in cs]
 return dict(zip(UpperCAmelCase		,     UpperCAmelCase     )     )
def 			__UpperCamelCase       (   UpperCAmelCase     ):
 lowercase__				:    str  =					set()
 lowercase__				:    Dict  =					word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)     )
  lowercase__				:    Tuple  =					char
 return pairs





class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE							=    PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE							=    ["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	,   )  ->  List[str]:
        lowercase__				:    int  =					AddedToken(__lowerCAmelCase	,   lstrip=__lowerCAmelCase	,   rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) else bos_token
        lowercase__				:    Optional[int]  =					AddedToken(__lowerCAmelCase	,   lstrip=__lowerCAmelCase	,   rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) else eos_token
        lowercase__				:    int  =					AddedToken(__lowerCAmelCase	,   lstrip=__lowerCAmelCase	,   rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) else sep_token
        lowercase__				:    Any  =					AddedToken(__lowerCAmelCase	,   lstrip=__lowerCAmelCase	,   rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) else cls_token
        lowercase__				:    List[str]  =					AddedToken(__lowerCAmelCase	,   lstrip=__lowerCAmelCase	,   rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) else unk_token
        lowercase__				:    Any  =					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
        lowercase__				:    Dict  =					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:
         lowercase__				:    str  =					json.load(__lowerCAmelCase )
        lowercase__				:    Optional[Any]  =					{v: k for k, v in self.encoder.items()}
        lowercase__				:    Union[str, Any]  =					errors  # how to handle errors in decoding
        lowercase__				:    int  =					bytes_to_unicode()
        lowercase__				:    Tuple  =					{v: k for k, v in self.byte_encoder.items()}
        with open(__lowerCAmelCase	,   encoding='''utf-8''' ) as merges_handle:
         lowercase__				:    List[str]  =					merges_handle.read().split('''\n''' )[1:-1]
        lowercase__				:    Dict  =					[tuple(merge.split() ) for merge in bpe_merges]
        lowercase__				:    int  =					dict(zip(__lowerCAmelCase	,   range(len(__lowerCAmelCase ) ) ) )
        lowercase__				:    Any  =					{}
        lowercase__				:    Dict  =					add_prefix_space

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

       @property
       def _lowerCAmelCase(						self )  ->  List[str]:
        return len(self.encoder )

       def _lowerCAmelCase(						self )  ->  Tuple:
        return dict(self.encoder	,   **self.added_tokens_encoder )

       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  List[Any]:
        if token in self.cache:
         return self.cache[token]
        lowercase__				:    Union[str, Any]  =					tuple(__lowerCAmelCase )
        lowercase__				:    Union[str, Any]  =					get_pairs(__lowerCAmelCase )

        if not pairs:
         return token

        while True:
         lowercase__				:    Optional[Any]  =					min(__lowerCAmelCase	,   key=lambda __lowerCAmelCase : self.bpe_ranks.get(__lowerCAmelCase	,   float('''inf''' ) ) )
         if bigram not in self.bpe_ranks:
          break
         lowercase__ ,							lowercase__				:    Union[str, Any]  =					bigram
         lowercase__				:    str  =					[]
         lowercase__				:    Optional[Any]  =					0
         while i < len(__lowerCAmelCase ):
          try:
           lowercase__				:    Union[str, Any]  =					word.index(__lowerCAmelCase	,   __lowerCAmelCase )
          except ValueError:
           new_word.extend(word[i:] )
           break
          else:
           new_word.extend(word[i:j] )
           lowercase__				:    Optional[int]  =					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
         lowercase__				:    List[str]  =					tuple(__lowerCAmelCase )
         lowercase__				:    int  =					new_word
         if len(__lowerCAmelCase ) == 1:
          break
         else:
          lowercase__				:    List[Any]  =					get_pairs(__lowerCAmelCase )
        lowercase__				:    int  =					''' '''.join(__lowerCAmelCase )
        lowercase__				:    Union[str, Any]  =					word
        return word

       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  List[str]:
        lowercase__				:    Any  =					[]
        for token in re.findall(self.pat	,   __lowerCAmelCase ):
         lowercase__				:    Optional[Any]  =					''''''.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 _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  Dict:
        return self.encoder.get(__lowerCAmelCase	,   self.encoder.get(self.unk_token ) )

       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  int:
        return self.decoder.get(__lowerCAmelCase )

       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  Tuple:
        lowercase__				:    Dict  =					''''''.join(__lowerCAmelCase )
        lowercase__				:    Dict  =					bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8'''	,   errors=self.errors )
        return text

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  Tuple[str]:
        if not os.path.isdir(__lowerCAmelCase ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
         return
        lowercase__				:    int  =					os.path.join(
            __lowerCAmelCase	,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
        lowercase__				:    List[Any]  =					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''' )

        lowercase__				:    int  =					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!''' )
           lowercase__				:    str  =					token_index
          writer.write(''' '''.join(__lowerCAmelCase ) + '''\n''' )
          index += 1

        return vocab_file, merge_file

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  List[int]:
        if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowercase__				:    Any  =					[self.cls_token_id]
        lowercase__				:    Tuple  =					[self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep

       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None	,   __lowerCAmelCase = False )  ->  List[int]:
        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 _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None )  ->  List[int]:
        lowercase__				:    Optional[int]  =					[self.sep_token_id]
        lowercase__				:    Tuple  =					[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 _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase=False	,   **__lowerCAmelCase )  ->  Any:
        lowercase__				:    Dict  =					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()):
         lowercase__				:    List[str]  =					''' ''' + text
        return (text, kwargs)


'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ):

 def update_area_of_max_square(UpperCAmelCase		,     UpperCAmelCase     ) -> int:
  # BASE CASE
  if row >= rows or col >= cols:
   return 0

  lowercase__				:    int  =					update_area_of_max_square(UpperCAmelCase		,     col + 1     )
  lowercase__				:    Any  =					update_area_of_max_square(row + 1		,     col + 1     )
  lowercase__				:    str  =					update_area_of_max_square(row + 1		,     UpperCAmelCase     )

  if mat[row][col]:
   lowercase__				:    List[Any]  =					1 + min([right, diagonal, down]     )
   lowercase__				:    List[Any]  =					max(largest_square_area[0]		,     UpperCAmelCase     )
   return sub_problem_sol
  else:
   return 0

 lowercase__				:    Dict  =					[0]
 update_area_of_max_square(0		,     0     )
 return largest_square_area[0]
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ):

 def update_area_of_max_square_using_dp_array(
     UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ) -> int:
  if row >= rows or col >= cols:
   return 0
  if dp_array[row][col] != -1:
   return dp_array[row][col]

  lowercase__				:    int  =					update_area_of_max_square_using_dp_array(UpperCAmelCase		,     col + 1		,     UpperCAmelCase     )
  lowercase__				:    Optional[int]  =					update_area_of_max_square_using_dp_array(row + 1		,     col + 1		,     UpperCAmelCase     )
  lowercase__				:    Any  =					update_area_of_max_square_using_dp_array(row + 1		,     UpperCAmelCase		,     UpperCAmelCase     )

  if mat[row][col]:
   lowercase__				:    Optional[int]  =					1 + min([right, diagonal, down]     )
   lowercase__				:    Any  =					max(largest_square_area[0]		,     UpperCAmelCase     )
   lowercase__				:    int  =					sub_problem_sol
   return sub_problem_sol
  else:
   return 0

 lowercase__				:    Any  =					[0]
 lowercase__				:    List[Any]  =					[[-1] * cols for _ in range(UpperCAmelCase     )]
 update_area_of_max_square_using_dp_array(0		,     0		,     UpperCAmelCase     )

 return largest_square_area[0]
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ):
 lowercase__				:    Optional[int]  =					[[0] * (cols + 1) for _ in range(rows + 1     )]
 lowercase__				:    str  =					0
 for row in range(rows - 1		,     -1		,     -1     ):
  for col in range(cols - 1		,     -1		,     -1     ):
   lowercase__				:    str  =					dp_array[row][col + 1]
   lowercase__				:    Optional[Any]  =					dp_array[row + 1][col + 1]
   lowercase__				:    str  =					dp_array[row + 1][col]

   if mat[row][col] == 1:
    lowercase__				:    Dict  =					1 + min(UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     )
    lowercase__				:    str  =					max(dp_array[row][col]		,     UpperCAmelCase     )
   else:
    lowercase__				:    Any  =					0

 return largest_square_area
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ):
 lowercase__				:    List[str]  =					[0] * (cols + 1)
 lowercase__				:    str  =					[0] * (cols + 1)
 lowercase__				:    Tuple  =					0
 for row in range(rows - 1		,     -1		,     -1     ):
  for col in range(cols - 1		,     -1		,     -1     ):
   lowercase__				:    List[Any]  =					current_row[col + 1]
   lowercase__				:    Any  =					next_row[col + 1]
   lowercase__				:    Optional[Any]  =					next_row[col]

   if mat[row][col] == 1:
    lowercase__				:    List[str]  =					1 + min(UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     )
    lowercase__				:    List[str]  =					max(current_row[col]		,     UpperCAmelCase     )
   else:
    lowercase__				:    int  =					0
  lowercase__				:    int  =					current_row

 return largest_square_area


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))

