






"""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:
    _UpperCamelCase		:  str						=		None

_UpperCamelCase		:  int						=		logging.get_logger(__name__)
_UpperCamelCase		:  Dict						=		{'vocab_file': 'sentencepiece.model', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase		:  List[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',
    },
}

_UpperCamelCase		:  List[Any]						=		{
    'google/rembert': 2_5_6,
}

_UpperCamelCase		:  List[Any]						=		'▁'

class        a     (   a_	):
    UpperCAmelCase_ :     Dict	     =VOCAB_FILES_NAMES
    UpperCAmelCase_ :     List[str]	     =PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase_ :     Tuple	     =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase_ :     Optional[int]	     =RemBertTokenizer







    def __init__(			self							,		_lowerCamelCase=None							,		_lowerCamelCase=None							,		_lowerCamelCase=True							,		_lowerCamelCase=True							,		_lowerCamelCase=False							,		_lowerCamelCase="[CLS]"							,		_lowerCamelCase="[SEP]"							,		_lowerCamelCase="<unk>"							,		_lowerCamelCase="[SEP]"							,		_lowerCamelCase="<pad>"							,		_lowerCamelCase="[CLS]"							,		_lowerCamelCase="[MASK]"							,		**_lowerCamelCase							,		):
      # Mask token behave like a normal word, i.e. include the space before it
      lowercase							    =       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							,		)

      lowercase							    =       do_lower_case
      lowercase							    =       remove_space
      lowercase							    =       keep_accents
      lowercase							    =       vocab_file
      lowercase							    =       False if not self.vocab_file else True







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase = None       ):
      lowercase							    =       [self.sep_token_id]
      lowercase							    =       [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							,		_lowerCamelCase							,		_lowerCamelCase = None							,		_lowerCamelCase = False       ):

      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							,		_lowerCamelCase							,		_lowerCamelCase = None       ):
      lowercase							    =       [self.sep_token_id]
      lowercase							    =       [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							,		_lowerCamelCase							,		_lowerCamelCase = None       ):
      if not os.path.isdir(_lowerCamelCase       ):
        logger.error('Vocabulary path ({}) should be a directory'.format(_lowerCamelCase       )       )
        return
      lowercase							    =       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,)










"""simple docstring"""



# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_UpperCamelCase		:  Optional[Any]						=		TypeVar('T')

class        a     (   Generic[T]	):







    def __init__(			self							,		_lowerCamelCase = True       ):
      lowercase							    =       {}  # dictionary of lists
      lowercase							    =       directed







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase							,		_lowerCamelCase       ):

      if not self.directed:  # For undirected graphs
        # if both source vertex and destination vertex are both present in the
        # adjacency list, add destination vertex to source vertex list of adjacent
        # vertices and add source vertex to destination vertex list of adjacent
        # vertices.
        if source_vertex in self.adj_list and destination_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
          self.adj_list[destination_vertex].append(_lowerCamelCase       )
        # if only source vertex is present in adjacency list, add destination vertex
        # to source vertex list of adjacent vertices, then create a new vertex with
        # destination vertex as key and assign a list containing the source vertex
        # as it's first adjacent vertex.
        elif source_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
          lowercase							    =       [source_vertex]
        # if only destination vertex is present in adjacency list, add source vertex
        # to destination vertex list of adjacent vertices, then create a new vertex
        # with source vertex as key and assign a list containing the source vertex
        # as it's first adjacent vertex.
        elif destination_vertex in self.adj_list:
          self.adj_list[destination_vertex].append(_lowerCamelCase       )
          lowercase							    =       [destination_vertex]
        # if both source vertex and destination vertex are not present in adjacency
        # list, create a new vertex with source vertex as key and assign a list
        # containing the destination vertex as it's first adjacent vertex also
        # create a new vertex with destination vertex as key and assign a list
        # containing the source vertex as it's first adjacent vertex.
        else:
          lowercase							    =       [destination_vertex]
          lowercase							    =       [source_vertex]
      else:  # For directed graphs
        # if both source vertex and destination vertex are present in adjacency
        # list, add destination vertex to source vertex list of adjacent vertices.
        if source_vertex in self.adj_list and destination_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
        # if only source vertex is present in adjacency list, add destination
        # vertex to source vertex list of adjacent vertices and create a new vertex
        # with destination vertex as key, which has no adjacent vertex
        elif source_vertex in self.adj_list:
          self.adj_list[source_vertex].append(_lowerCamelCase       )
          lowercase							    =       []
        # if only destination vertex is present in adjacency list, create a new
        # vertex with source vertex as key and assign a list containing destination
        # vertex as first adjacent vertex
        elif destination_vertex in self.adj_list:
          lowercase							    =       [destination_vertex]
        # if both source vertex and destination vertex are not present in adjacency
        # list, create a new vertex with source vertex as key and a list containing
        # destination vertex as it's first adjacent vertex. Then create a new vertex
        # with destination vertex as key, which has no adjacent vertex
        else:
          lowercase							    =       [destination_vertex]
          lowercase							    =       []

      return self







    def __repr__(			self       ):
      return pformat(self.adj_list       )


