


"""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


__snake_case             =   logging.get_logger(__name__)


__snake_case             =   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all BART models at https://huggingface.co/models?filter=bart
__snake_case             =   {
    """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""",
    },
}

__snake_case             =   {
    """facebook/bart-base""": 1024,
    """facebook/bart-large""": 1024,
    """facebook/bart-large-mnli""": 1024,
    """facebook/bart-large-cnn""": 1024,
    """facebook/bart-large-xsum""": 1024,
    """yjernite/bart_eli5""": 1024,
}







@lru_cache()
def   __lowerCAmelCase						(						)     ->						Dict:


    """simple docstring"""





    snake_case   :				Optional[int]				 =   (
        list(range(ord("!"			)						,							ord("~"			) + 1			)			) + list(range(ord("¡"			)						,							ord("¬"			) + 1			)			) + list(range(ord("®"			)						,							ord("ÿ"			) + 1			)			)
    )
    snake_case   :				Optional[Any]				 =   bs[:]
    snake_case   :				str				 =   0
    for b in range(2**8			):
        if b not in bs:
            bs.append(lowercase			)
            cs.append(2**8 + n			)
            n += 1
    snake_case   :				Any				 =   [chr(lowercase			) for n in cs]
    return dict(zip(lowercase						,							lowercase			)			)







def   __lowerCAmelCase						(						lowercase  :  Union[str, Any]			)     ->						Tuple:


    """simple docstring"""





    snake_case   :				int				 =   set()
    snake_case   :				Optional[int]				 =   word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)			)
        snake_case   :				Dict				 =   char
    return pairs







class _lowerCAmelCase    (				snake_case_     ):
   __UpperCAmelCase			:	Any							  =  VOCAB_FILES_NAMES
   __UpperCAmelCase			:	int							  =  PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:	Tuple							  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:	Any							  =  ['''input_ids''', '''attention_mask''']







   def __init__(     self						,     UpperCamelCase__						,     UpperCamelCase__						,     UpperCamelCase__="replace"						,     UpperCamelCase__="<s>"						,     UpperCamelCase__="</s>"						,     UpperCamelCase__="</s>"						,     UpperCamelCase__="<s>"						,     UpperCamelCase__="<unk>"						,     UpperCamelCase__="<pad>"						,     UpperCamelCase__="<mask>"						,     UpperCamelCase__=False						,     **UpperCamelCase__						,     )     ->		Dict:

       '''simple docstring'''




       snake_case   :				Tuple				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else bos_token
       snake_case   :				Union[str, Any]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else eos_token
       snake_case   :				List[str]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else sep_token
       snake_case   :				List[Any]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else cls_token
       snake_case   :				Optional[int]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else unk_token
       snake_case   :				int				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else pad_token

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

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

       with open(UpperCamelCase__						,     encoding="utf-8"						) as vocab_handle:
           snake_case   :				str				 =   json.load(UpperCamelCase__						)
       snake_case   :				int				 =   {v: k for k, v in self.encoder.items()}
       snake_case   :				Optional[Any]				 =   errors  # how to handle errors in decoding
       snake_case   :				List[Any]				 =   bytes_to_unicode()
       snake_case   :				int				 =   {v: k for k, v in self.byte_encoder.items()}
       with open(UpperCamelCase__						,     encoding="utf-8"						) as merges_handle:
           snake_case   :				int				 =   merges_handle.read().split("\n"						)[1:-1]
       snake_case   :				Tuple				 =   [tuple(merge.split()						) for merge in bpe_merges]
       snake_case   :				Dict				 =   dict(zip(UpperCamelCase__						,     range(len(UpperCamelCase__						)						)						)						)
       snake_case   :				Any				 =   {}
       snake_case   :				Tuple				 =   add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       snake_case   :				Any				 =   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						)     ->		Union[str, Any]:

       '''simple docstring'''




       return len(self.encoder						)







   def 			lowerCamelCase		(     self						)     ->		List[Any]:

       '''simple docstring'''




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







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		Dict:

       '''simple docstring'''




       if token in self.cache:
           return self.cache[token]
       snake_case   :				List[str]				 =   tuple(UpperCamelCase__						)
       snake_case   :				Optional[Any]				 =   get_pairs(UpperCamelCase__						)

       if not pairs:
           return token

       while True:
           snake_case   :				List[Any]				 =   min(UpperCamelCase__						,     key=lambda UpperCamelCase__						: self.bpe_ranks.get(UpperCamelCase__						,     float("inf"						)						)						)
           if bigram not in self.bpe_ranks:
               break
           snake_case ,snake_case   :				str				 =   bigram
           snake_case   :				Tuple				 =   []
           snake_case   :				Any				 =   0
           while i < len(UpperCamelCase__						):
               try:
                   snake_case   :				int				 =   word.index(UpperCamelCase__						,     UpperCamelCase__						)
               except ValueError:
                   new_word.extend(word[i:]						)
                   break
               else:
                   new_word.extend(word[i:j]						)
                   snake_case   :				List[str]				 =   j

               if word[i] == first and i < len(UpperCamelCase__						) - 1 and word[i + 1] == second:
                   new_word.append(first + second						)
                   i += 2
               else:
                   new_word.append(word[i]						)
                   i += 1
           snake_case   :				Dict				 =   tuple(UpperCamelCase__						)
           snake_case   :				Optional[int]				 =   new_word
           if len(UpperCamelCase__						) == 1:
               break
           else:
               snake_case   :				Optional[int]				 =   get_pairs(UpperCamelCase__						)
       snake_case   :				Dict				 =   " ".join(UpperCamelCase__						)
       snake_case   :				List[str]				 =   word
       return word







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		List[Any]:

       '''simple docstring'''




       snake_case   :				List[Any]				 =   []
       for token in re.findall(self.pat						,     UpperCamelCase__						):
           snake_case   :				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(UpperCamelCase__						).split(" "						)						)
       return bpe_tokens







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		List[str]:

       '''simple docstring'''




       return self.encoder.get(UpperCamelCase__						,     self.encoder.get(self.unk_token						)						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		Union[str, Any]:

       '''simple docstring'''




       return self.decoder.get(UpperCamelCase__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		str:

       '''simple docstring'''




       snake_case   :				int				 =   "".join(UpperCamelCase__						)
       snake_case   :				Optional[int]				 =   bytearray([self.byte_decoder[c] for c in text]						).decode("utf-8"						,     errors=self.errors						)
       return text







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						)     ->		Tuple[str]:

       '''simple docstring'''




       if not os.path.isdir(UpperCamelCase__						):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
           return
       snake_case   :				Any				 =   os.path.join(
           UpperCamelCase__						,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
       snake_case   :				List[str]				 =   os.path.join(
           UpperCamelCase__						,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]						)

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

       snake_case   :				Optional[Any]				 =   0
       with open(UpperCamelCase__						,     "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 UpperCamelCase__						: 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!"						)
                   snake_case   :				List[Any]				 =   token_index
               writer.write(" ".join(UpperCamelCase__						) + "\n"						)
               index += 1

       return vocab_file, merge_file







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						)     ->		List[int]:

       '''simple docstring'''




       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       snake_case   :				str				 =   [self.cls_token_id]
       snake_case   :				Optional[int]				 =   [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						,     UpperCamelCase__ = False						)     ->		List[int]:

       '''simple docstring'''




       if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=UpperCamelCase__						,     token_ids_a=UpperCamelCase__						,     already_has_special_tokens=UpperCamelCase__						)

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







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						)     ->		List[int]:

       '''simple docstring'''




       snake_case   :				Union[str, Any]				 =   [self.sep_token_id]
       snake_case   :				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 + sep + token_ids_a + sep						) * [0]







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__=False						,     **UpperCamelCase__						)     ->		List[str]:

       '''simple docstring'''




       snake_case   :				Union[str, Any]				 =   kwargs.pop("add_prefix_space"						,     self.add_prefix_space						)
       if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__						) > 0 and not text[0].isspace()):
           snake_case   :				Any				 =   " " + text
       return (text, kwargs)









"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  int						,							lowercase  :  int						,							lowercase  :  list[list[int]]			)     ->						int:


    """simple docstring"""





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

        snake_case   :				Dict				 =   update_area_of_max_square(lowercase						,							col + 1			)
        snake_case   :				Tuple				 =   update_area_of_max_square(row + 1						,							col + 1			)
        snake_case   :				Any				 =   update_area_of_max_square(row + 1						,							lowercase			)

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

    snake_case   :				int				 =   [0]
    update_area_of_max_square(0						,							0			)
    return largest_square_area[0]







def   __lowerCAmelCase						(						lowercase  :  int						,							lowercase  :  int						,							lowercase  :  list[list[int]]			)     ->						int:


    """simple docstring"""





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

        snake_case   :				List[str]				 =   update_area_of_max_square_using_dp_array(lowercase						,							col + 1						,							lowercase			)
        snake_case   :				Optional[int]				 =   update_area_of_max_square_using_dp_array(row + 1						,							col + 1						,							lowercase			)
        snake_case   :				Optional[int]				 =   update_area_of_max_square_using_dp_array(row + 1						,							lowercase						,							lowercase			)

        if mat[row][col]:
            snake_case   :				Dict				 =   1 + min([right, diagonal, down]			)
            snake_case   :				Union[str, Any]				 =   max(largest_square_area[0]						,							lowercase			)
            snake_case   :				str				 =   sub_problem_sol
            return sub_problem_sol
        else:
            return 0

    snake_case   :				Union[str, Any]				 =   [0]
    snake_case   :				int				 =   [[-1] * cols for _ in range(lowercase			)]
    update_area_of_max_square_using_dp_array(0						,							0						,							lowercase			)

    return largest_square_area[0]







def   __lowerCAmelCase						(						lowercase  :  int						,							lowercase  :  int						,							lowercase  :  list[list[int]]			)     ->						int:


    """simple docstring"""





    snake_case   :				int				 =   [[0] * (cols + 1) for _ in range(rows + 1			)]
    snake_case   :				List[Any]				 =   0
    for row in range(rows - 1						,							-1						,							-1			):
        for col in range(cols - 1						,							-1						,							-1			):
            snake_case   :				Tuple				 =   dp_array[row][col + 1]
            snake_case   :				Any				 =   dp_array[row + 1][col + 1]
            snake_case   :				List[str]				 =   dp_array[row + 1][col]

            if mat[row][col] == 1:
                snake_case   :				Optional[int]				 =   1 + min(lowercase						,							lowercase						,							lowercase			)
                snake_case   :				Tuple				 =   max(dp_array[row][col]						,							lowercase			)
            else:
                snake_case   :				List[Any]				 =   0

    return largest_square_area







def   __lowerCAmelCase						(						lowercase  :  int						,							lowercase  :  int						,							lowercase  :  list[list[int]]			)     ->						int:


    """simple docstring"""





    snake_case   :				Any				 =   [0] * (cols + 1)
    snake_case   :				Any				 =   [0] * (cols + 1)
    snake_case   :				Any				 =   0
    for row in range(rows - 1						,							-1						,							-1			):
        for col in range(cols - 1						,							-1						,							-1			):
            snake_case   :				Dict				 =   current_row[col + 1]
            snake_case   :				List[Any]				 =   next_row[col + 1]
            snake_case   :				Dict				 =   next_row[col]

            if mat[row][col] == 1:
                snake_case   :				Union[str, Any]				 =   1 + min(lowercase						,							lowercase						,							lowercase			)
                snake_case   :				Optional[int]				 =   max(current_row[col]						,							lowercase			)
            else:
                snake_case   :				Optional[Any]				 =   0
        snake_case   :				str				 =   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]]))





