




'''simple docstring'''





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

import sentencepiece as spm

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


_SCREAMING_SNAKE_CASE							:   Union[str, Any]      		= logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							:   Optional[int]      		= {"vocab_file": "sentencepiece.model"}

_SCREAMING_SNAKE_CASE							:   Dict      		= {
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
}

_SCREAMING_SNAKE_CASE							:   str      		= {
    "google/rembert": 256,
}




class  _snake_case		(	lowercase_							):
			lowerCAmelCase_     :      Union[str, Any]						       =    VOCAB_FILES_NAMES
			lowerCAmelCase_     :      Optional[int]						       =    PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_     :      Optional[Any]						       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




			def __init__(					self				,							a__				,							a__=False				,							a__=True				,							a__=True				,							a__="[CLS]"				,							a__="[SEP]"				,							a__="[UNK]"				,							a__="[SEP]"				,							a__="[PAD]"				,							a__="[CLS]"				,							a__="[MASK]"				,							**a__				,							)				->				Tuple:

										'''simple docstring'''




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

										snake_case_						=      do_lower_case
										snake_case_						=      remove_space
										snake_case_						=      keep_accents
										snake_case_						=      vocab_file

										snake_case_						=      spm.SentencePieceProcessor()
										self.sp_model.Load(a__							)




			@property
			def    lowerCAmelCase__				(					self							)				->				Optional[int]:

										'''simple docstring'''




										return len(self.sp_model							)




			def    lowerCAmelCase__				(					self							)				->				Optional[Any]:

										'''simple docstring'''




										snake_case_						=      {self.convert_ids_to_tokens(a__							): i for i in range(self.vocab_size							)}
										vocab.update(self.added_tokens_encoder							)
										return vocab




			def __getstate__(					self							)				->				Optional[int]:

										'''simple docstring'''




										snake_case_						=      self.__dict__.copy()
										snake_case_						=      None
										return state




			def __setstate__(					self				,							a__							)				->				Optional[Any]:

										'''simple docstring'''




										snake_case_						=      d
										snake_case_						=      spm.SentencePieceProcessor()
										self.sp_model.Load(self.vocab_file							)




			def    lowerCAmelCase__				(					self				,							a__				,							a__=False							)				->				int:

										'''simple docstring'''




										snake_case_						=      self.sp_model.EncodeAsPieces(a__							)
										return pieces




			def    lowerCAmelCase__				(					self				,							a__							)				->				Tuple:

										'''simple docstring'''




										return self.sp_model.PieceToId(a__							)




			def    lowerCAmelCase__				(					self				,							a__							)				->				List[Any]:

										'''simple docstring'''




										return self.sp_model.IdToPiece(a__							)




			def    lowerCAmelCase__				(					self				,							a__							)				->				List[str]:

										'''simple docstring'''




										snake_case_						=      self.sp_model.decode_pieces(a__							)
										return out_string




			def    lowerCAmelCase__				(					self				,							a__				,							a__ = None							)				->				List[int]:

										'''simple docstring'''




										snake_case_						=      [self.sep_token_id]
										snake_case_						=      [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    lowerCAmelCase__				(					self				,							a__				,							a__ = None				,							a__ = 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(a__							)) + [1] + ([0] * len(a__							)) + [1]
										return [1] + ([0] * len(a__							)) + [1]




			def    lowerCAmelCase__				(					self				,							a__				,							a__ = None							)				->				List[int]:

										'''simple docstring'''




										snake_case_						=      [self.sep_token_id]
										snake_case_						=      [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    lowerCAmelCase__				(					self				,							a__				,							a__ = None							)				->				Tuple[str]:

										'''simple docstring'''




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

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

										return (out_vocab_file,)










class        lowerCamelCase_							:


 '''simple docstring'''







 def __init__(							self  :		List[Any]						):
       SCREAMING_SNAKE_CASE_							=			{}



 def       lowerCAmelCase_  (							self  :		List[str]						):
       print(self.vertex						)
       for i in self.vertex:
             print(_lowerCAmelCase				,				' -> '				,				' -> '.join([str(_lowerCAmelCase						) for j in self.vertex[i]]						)						)



 def       lowerCAmelCase_  (							self  :		List[Any]				,				_lowerCAmelCase  :		int				,				_lowerCAmelCase  :		int						):
       # check if vertex is already present,
       if from_vertex in self.vertex:
             self.vertex[from_vertex].append(_lowerCAmelCase						)
       else:
             # else make a new vertex
             SCREAMING_SNAKE_CASE_							=			[to_vertex]



 def       lowerCAmelCase_  (							self  :		Dict						):
       # visited array for storing already visited nodes
       SCREAMING_SNAKE_CASE_							=			[False] * len(self.vertex						)

       # call the recursive helper function
       for i in range(len(self.vertex						)						):
             if not visited[i]:
                   self.dfs_recursive(_lowerCAmelCase				,				_lowerCAmelCase						)




 def       lowerCAmelCase_  (							self  :		Union[str, Any]				,				_lowerCAmelCase  :		int				,				_lowerCAmelCase  :		list						):
       # mark start vertex as visited
       SCREAMING_SNAKE_CASE_							=			True

       print(_lowerCAmelCase				,				end=' '						)

       # Recur for all the vertices that are adjacent to this node
       for i in self.vertex:
             if not visited[i]:
                   self.dfs_recursive(_lowerCAmelCase				,				_lowerCAmelCase						)


if __name__ == "__main__":
   lowerCamelCase__ :   List[Any]					=							Graph()
   g.add_edge(0, 1)
   g.add_edge(0, 2)
   g.add_edge(1, 2)
   g.add_edge(2, 0)
   g.add_edge(2, 3)
   g.add_edge(3, 3)

   g.print_graph()
   print('DFS:')
   g.dfs()

   # OUTPUT:
   # 0  ->  1 -> 2
   # 1  ->  2
   # 2  ->  0 -> 3
   # 3  ->  3
   # DFS:
   #  0 1 2 3