





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:
				lowercase				:	Union[str, Any]      						=  None

lowercase				:	Union[str, Any]      						=  logging.get_logger(__name__)
lowercase				:	Dict      						=  {"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase				:	Union[str, Any]      						=  {
    """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""",
    },
}

lowercase				:	Dict      						=  {
    """google/rembert""": 2_5_6,
}

lowercase				:	List[str]      						=  """▁"""





class 			A__   (							_a     ):




			"""simple docstring"""



			__A       :    str	  =  VOCAB_FILES_NAMES
			__A       :    Dict	  =  PRETRAINED_VOCAB_FILES_MAP
			__A       :    List[str]	  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__A       :    Dict	  =  RemBertTokenizer

			def __init__( self ,  lowercase=None ,  lowercase=None ,  lowercase=True ,  lowercase=True ,  lowercase=False ,  lowercase="[CLS]" ,  lowercase="[SEP]" ,  lowercase="<unk>" ,  lowercase="[SEP]" ,  lowercase="<pad>" ,  lowercase="[CLS]" ,  lowercase="[MASK]" ,  **lowercase ,  )      ->						str:







										'''simple docstring'''

										a__						:     str			=    AddedToken(snake_case_ ,  lstrip=snake_case_ ,  rstrip=snake_case_) if isinstance(snake_case_ ,  snake_case_) else mask_token

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

										a__						:     List[Any]			=    do_lower_case
										a__						:     List[str]			=    remove_space
										a__						:     int			=    keep_accents
										a__						:     Optional[int]			=    vocab_file
										a__						:     List[str]			=    False if not self.vocab_file else True

			def 							__lowercase		( self ,  lowercase ,  lowercase = None)      ->						Optional[int]:







										'''simple docstring'''

										a__						:     Optional[int]			=    [self.sep_token_id]
										a__						:     Any			=    [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 							__lowercase		( self ,  lowercase ,  lowercase = None ,  lowercase = False)      ->						Optional[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(snake_case_)) + [1] + ([0] * len(snake_case_)) + [1]
										return [1] + ([0] * len(snake_case_)) + [1]

			def 							__lowercase		( self ,  lowercase ,  lowercase = None)      ->						Dict:







										'''simple docstring'''

										a__						:     Optional[Any]			=    [self.sep_token_id]
										a__						:     List[Any]			=    [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 							__lowercase		( self ,  lowercase ,  lowercase = None)      ->						List[Any]:







										'''simple docstring'''

										if not os.path.isdir(snake_case_):
																	logger.error('Vocabulary path ({}) should be a directory'.format(snake_case_))
																	return
										a__						:     Tuple			=    os.path.join(
										    snake_case_ ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

										return (out_vocab_file,)









def A_     (		A__    )  ->		List[str]:  # noqa: E741
       a__						:     Dict			=    len(A__    )
       a__						:     str			=    0
       a__						:     Any			=    [0] * n
       a__						:     int			=    [False] * n
       a__						:     Optional[Any]			=    [False] * n

       def dfs(A__		,				A__		,				A__		,				A__    ):
              if parent == root:
                     out_edge_count += 1
              a__						:     Union[str, Any]			=    True
              a__						:     Optional[Any]			=    at

              for to in l[at]:
                     if to == parent:
                            pass
                     elif not visited[to]:
                            a__						:     List[Any]			=    dfs(A__		,				A__		,				A__		,				A__    )
                            a__						:     Dict			=    min(low[at]		,				low[to]    )

                            # AP found via bridge
                            if at < low[to]:
                                   a__						:     Dict			=    True
                            # AP found via cycle
                            if at == low[to]:
                                   a__						:     List[Any]			=    True
                     else:
                            a__						:     Optional[int]			=    min(low[at]		,				A__    )
              return out_edge_count

       for i in range(A__    ):
              if not visited[i]:
                     a__						:     Tuple			=    0
                     a__						:     Any			=    dfs(A__		,				A__		,				-1		,				A__    )
                     a__						:     List[Any]			=    out_edge_count > 1

       for x in range(len(A__    )    ):
              if is_art[x] is True:
                     print(A__    )


# Adjacency list of graph
lowercase				:	List[Any]      						=  {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}



compute_ap(data)


