


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

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase__            =							logging.get_logger(__name__)

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

UpperCAmelCase__            =							{
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

UpperCAmelCase__            =							{
    "microsoft/biogpt": 1024,
}
def     UpperCAmelCase_ (							__snake_case						)					->      Optional[Any]:







 """simple docstring"""


 _lowercase											=set()
 _lowercase											=word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)						)
  _lowercase											=char
 return pairs







class 				lowerCamelCase__       (	SCREAMING_SNAKE_CASE__):
     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		,					UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase="<unk>"		,					UpperCAmelCase="<s>"		,					UpperCAmelCase="</s>"		,					UpperCAmelCase="</s>"		,					UpperCAmelCase="<pad>"		,					**UpperCAmelCase		,					)					->       Tuple:
      super().__init__(
          bos_token=UpperCAmelCase		,					eos_token=UpperCAmelCase		,					sep_token=UpperCAmelCase		,					unk_token=UpperCAmelCase		,					pad_token=UpperCAmelCase		,					**UpperCAmelCase		,					)

      try:
       import sacremoses
      except ImportError:
       raise ImportError(
           '''You need to install sacremoses to use BioGptTokenizer. '''
           '''See https://pypi.org/project/sacremoses/ for installation.'''	)

      _lowercase											='''en'''
      _lowercase											=sacremoses
      # cache of sm.MosesTokenizer instance
      _lowercase											={}
      _lowercase											={}
      with open(UpperCAmelCase		,					encoding='''utf-8'''	) as vocab_handle:
       _lowercase											=json.load(UpperCAmelCase	)
      _lowercase											={v: k for k, v in self.encoder.items()}
      with open(UpperCAmelCase		,					encoding='''utf-8'''	) as merges_handle:
       _lowercase											=merges_handle.read().split('''\n'''	)[:-1]
      _lowercase											=[tuple(merge.split()[:2]	) for merge in merges]
      _lowercase											=dict(zip(UpperCAmelCase		,					range(len(UpperCAmelCase	)	)	)	)
      _lowercase											={}





     @property
     def 					__A (self	)					->       str:
      return len(self.encoder	)





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





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase	)					->       Dict:

      if lang not in self.cache_moses_tokenizer:
       _lowercase											=self.sm.MosesTokenizer(lang=UpperCAmelCase	)
       _lowercase											=moses_tokenizer
      return self.cache_moses_tokenizer[lang].tokenize(
          UpperCAmelCase		,					aggressive_dash_splits=UpperCAmelCase		,					return_str=UpperCAmelCase		,					escape=UpperCAmelCase	)





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase	)					->       str:

      if lang not in self.cache_moses_detokenizer:
       _lowercase											=self.sm.MosesDetokenizer(lang=UpperCAmelCase	)
       _lowercase											=moses_detokenizer
      return self.cache_moses_detokenizer[lang].detokenize(UpperCAmelCase	)





     def 					__A (self		,					UpperCAmelCase	)					->       Optional[Any]:
      _lowercase											=tuple(token[:-1]	) + (token[-1] + '''</w>''',)
      if token in self.cache:
       return self.cache[token]
      _lowercase											=get_pairs(UpperCAmelCase	)

      if not pairs:
       return token + "</w>"

      while True:
       _lowercase											=min(UpperCAmelCase		,					key=lambda UpperCAmelCase	: self.bpe_ranks.get(UpperCAmelCase		,					float('''inf'''	)	)	)
       if bigram not in self.bpe_ranks:
        break
       _lowercase				,   _lowercase											=bigram
       _lowercase											=[]
       _lowercase											=0
       while i < len(UpperCAmelCase	):
        try:
         _lowercase											=word.index(UpperCAmelCase		,					UpperCAmelCase	)
        except ValueError:
         new_word.extend(word[i:]	)
         break
        else:
         new_word.extend(word[i:j]	)
         _lowercase											=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
       _lowercase											=tuple(UpperCAmelCase	)
       _lowercase											=new_word
       if len(UpperCAmelCase	) == 1:
        break
       else:
        _lowercase											=get_pairs(UpperCAmelCase	)
      _lowercase											=''' '''.join(UpperCAmelCase	)
      if word == "\n  </w>":
       _lowercase											='''\n</w>'''
      _lowercase											=word
      return word





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase=False	)					->       Dict:

      if bypass_tokenizer:
       _lowercase											=text.split()
      else:
       _lowercase											=self.moses_tokenize(UpperCAmelCase		,					self.lang	)

      _lowercase											=[]
      for token in text:
       if token:
        split_tokens.extend(list(self.bpe(UpperCAmelCase	).split(''' '''	)	)	)

      return split_tokens





     def 					__A (self		,					UpperCAmelCase	)					->       int:
      return self.encoder.get(UpperCAmelCase		,					self.encoder.get(self.unk_token	)	)





     def 					__A (self		,					UpperCAmelCase	)					->       int:
      return self.decoder.get(UpperCAmelCase		,					self.unk_token	)





     def 					__A (self		,					UpperCAmelCase	)					->       str:
      _lowercase											=[t.replace(''' '''		,					''''''	).replace('''</w>'''		,					''' '''	) for t in tokens]
      _lowercase											=''''''.join(UpperCAmelCase	).split()
      # detokenize
      _lowercase											=self.moses_detokenize(UpperCAmelCase		,					self.lang	)
      return text





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase = None	)					->       int:

      if token_ids_a is None:
       return [self.sep_token_id] + token_ids_a
      _lowercase											=[self.sep_token_id]
      return sep + token_ids_a + sep + token_ids_a





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase = None		,					UpperCAmelCase = False	)					->       int:

      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=UpperCAmelCase		,					token_ids_a=UpperCAmelCase		,					already_has_special_tokens=UpperCAmelCase	)
      # no bos used in fairseq
      if token_ids_a is not None:
       return [1] + ([0] * len(UpperCAmelCase	)) + [1] + ([0] * len(UpperCAmelCase	))
      return [1] + ([0] * len(UpperCAmelCase	))





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase = None	)					->       List[Any]:
      _lowercase											=[self.sep_token_id]

      # no bos used in fairseq
      if token_ids_a is None:
       return len(token_ids_a + sep	) * [0]
      return len(token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]





     def 					__A (self		,					UpperCAmelCase		,					UpperCAmelCase = None	)					->       Any:

      if not os.path.isdir(UpperCAmelCase	):
       logger.error(f"Vocabulary path ({save_directory}) should be a directory"	)
       return
      _lowercase											=os.path.join(
          UpperCAmelCase		,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
      _lowercase											=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'''	)

      _lowercase											=0
      with open(UpperCAmelCase		,					'''w'''		,					encoding='''utf-8'''	) as writer:
       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!'''	)
         _lowercase											=token_index
        writer.write(''' '''.join(UpperCAmelCase	) + '''\n'''	)
        index += 1

      return vocab_file, merge_file





     def __getstate__(self	)					->       Tuple:
      _lowercase											=self.__dict__.copy()
      _lowercase											=None
      return state





     def __setstate__(self		,					UpperCAmelCase	)					->       Tuple:
      _lowercase											=d

      try:
       import sacremoses
      except ImportError:
       raise ImportError(
           '''You need to install sacremoses to use XLMTokenizer. '''
           '''See https://pypi.org/project/sacremoses/ for installation.'''	)

      _lowercase											=sacremoses




UpperCAmelCase__            =							[
    [0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0],
    [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
]
def     UpperCAmelCase_ (							__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						)					->      bool:







 """simple docstring"""


 return 0 <= row < rows and 0 <= col < cols
def     UpperCAmelCase_ (							__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						)					->      int:







 """simple docstring"""


 _lowercase											=len(__snake_case						)
 _lowercase											=len(mat[0]						)
 if is_safe(__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						) and (row, col) not in seen and mat[row][col] == 1:
  seen.add((row, col)						)
  return (
      1
      + depth_first_search(row + 1					,						__snake_case					,						__snake_case					,						__snake_case						)
      + depth_first_search(row - 1					,						__snake_case					,						__snake_case					,						__snake_case						)
      + depth_first_search(__snake_case					,						col + 1					,						__snake_case					,						__snake_case						)
      + depth_first_search(__snake_case					,						col - 1					,						__snake_case					,						__snake_case						)
  )
 else:
  return 0
def     UpperCAmelCase_ (							__snake_case						)					->      int:







 """simple docstring"""


 _lowercase											=set()

 _lowercase											=0
 for row, line in enumerate(__snake_case						):
  for col, item in enumerate(__snake_case						):
   if item == 1 and (row, col) not in seen:
    # Maximizing the area
    _lowercase											=max(__snake_case					,						depth_first_search(__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						)						)
 return max_area


if __name__ == "__main__":
  import doctest

  print(find_max_area(matrix))  # Output -> 6
  doctest.testmod()

