



'''simple docstring'''





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_rembert import RemBertTokenizer
else:
  a__    =	None

a__    =	logging.get_logger(__name__)
a__    =	{"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

a__    =	{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
    """tokenizer_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/tokenizer.json""",
    },
}

a__    =	{
    """google/rembert""": 2_56,
}

a__    =	"""▁"""







class 		snake_case						(	SCREAMING_SNAKE_CASE_  ):



   '''simple docstring'''






   snake_case_					: Tuple          =		VOCAB_FILES_NAMES
   snake_case_					: Optional[Any]          =		PRETRAINED_VOCAB_FILES_MAP
   snake_case_					: Tuple          =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case_					: Optional[int]          =		RemBertTokenizer

   def __init__(					self							:			Dict				,		lowerCAmelCase							:			int=None				,		lowerCAmelCase							:			int=None				,		lowerCAmelCase							:			List[Any]=True				,		lowerCAmelCase							:			int=True				,		lowerCAmelCase							:			Dict=False				,		lowerCAmelCase							:			Any="[CLS]"				,		lowerCAmelCase							:			int="[SEP]"				,		lowerCAmelCase							:			Tuple="<unk>"				,		lowerCAmelCase							:			List[Any]="[SEP]"				,		lowerCAmelCase							:			int="<pad>"				,		lowerCAmelCase							:			str="[CLS]"				,		lowerCAmelCase							:			Union[str, Any]="[MASK]"				,		**lowerCAmelCase							:			Optional[int]				,		)				->				Optional[int]:

    """simple docstring"""







    _snake_case    :  int					=					AddedToken(lowerCAmelCase				,		lstrip=lowerCAmelCase				,		rstrip=lowerCAmelCase) if isinstance(lowerCAmelCase				,		lowerCAmelCase) else mask_token

    super().__init__(
        lowerCAmelCase				,		tokenizer_file=lowerCAmelCase				,		do_lower_case=lowerCAmelCase				,		remove_space=lowerCAmelCase				,		keep_accents=lowerCAmelCase				,		bos_token=lowerCAmelCase				,		eos_token=lowerCAmelCase				,		unk_token=lowerCAmelCase				,		sep_token=lowerCAmelCase				,		pad_token=lowerCAmelCase				,		cls_token=lowerCAmelCase				,		mask_token=lowerCAmelCase				,		**lowerCAmelCase				,		)

    _snake_case    :  Tuple					=					do_lower_case
    _snake_case    :  Dict					=					remove_space
    _snake_case    :  List[Any]					=					keep_accents
    _snake_case    :  Any					=					vocab_file
    _snake_case    :  Dict					=					False if not self.vocab_file else True

   def      UpperCamelCase_  (					self							:			str				,		lowerCAmelCase							:			List[int]				,		lowerCAmelCase							:			Optional[List[int]] = None)				->				List[int]:

    """simple docstring"""







    _snake_case    :  Tuple					=					[self.sep_token_id]
    _snake_case    :  int					=					[self.cls_token_id]
    if token_ids_a is None:
     return cls + token_ids_a + sep
    return cls + token_ids_a + sep + token_ids_a + sep

   def      UpperCamelCase_  (					self							:			Union[str, Any]				,		lowerCAmelCase							:			List[int]				,		lowerCAmelCase							:			Optional[List[int]] = None				,		lowerCAmelCase							:			bool = False)				->				List[int]:

    """simple docstring"""







    if already_has_special_tokens:
     if token_ids_a is not None:
      raise ValueError(
          """You should not supply a second sequence if the provided sequence of """
          """ids is already formatted with special tokens for the model.""")
     return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

    if token_ids_a is not None:
     return [1] + ([0] * len(lowerCAmelCase)) + [1] + ([0] * len(lowerCAmelCase)) + [1]
    return [1] + ([0] * len(lowerCAmelCase)) + [1]

   def      UpperCamelCase_  (					self							:			List[str]				,		lowerCAmelCase							:			List[int]				,		lowerCAmelCase							:			Optional[List[int]] = None)				->				List[int]:

    """simple docstring"""







    _snake_case    :  Optional[int]					=					[self.sep_token_id]
    _snake_case    :  str					=					[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) * [0] + len(token_ids_a + sep) * [1]


   def      UpperCamelCase_  (					self							:			List[str]				,		lowerCAmelCase							:			str				,		lowerCAmelCase							:			Optional[str] = None)				->				Tuple[str]:

    """simple docstring"""







    if not os.path.isdir(lowerCAmelCase):
     logger.error("""Vocabulary path ({}) should be a directory""".format(lowerCAmelCase))
     return
    _snake_case    :  List[Any]					=					os.path.join(
        lowerCAmelCase				,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

    if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCAmelCase):
     copyfile(self.vocab_file				,		lowerCAmelCase)

    return (out_vocab_file,)





# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Dict				)  ->     Union[str, Any]:
 _snake_case    :  str					=					[False] * len(SCREAMING_SNAKE_CASE__				)
 _snake_case    :  Dict					=					[-1] * len(SCREAMING_SNAKE_CASE__				)

 def dfs(SCREAMING_SNAKE_CASE__       :	Optional[int]				,       SCREAMING_SNAKE_CASE__       :	Union[str, Any]				):
  _snake_case    :  Optional[Any]					=					True
  _snake_case    :  Tuple					=					c
  for u in graph[v]:
   if not visited[u]:
    dfs(SCREAMING_SNAKE_CASE__				,       1 - c				)

 for i in range(len(SCREAMING_SNAKE_CASE__				)				):
  if not visited[i]:
   dfs(SCREAMING_SNAKE_CASE__				,       0				)

 for i in range(len(SCREAMING_SNAKE_CASE__				)				):
  for j in graph[i]:
   if color[i] == color[j]:
    return False

 return True


# Adjacency list of graph
a__    =	{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}

print(check_bipartite_dfs(graph))
