




'''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


_snake_case : str  				=						logging.get_logger(__name__)

_snake_case : Tuple  				=						{'vocab_file': 'sentencepiece.model'}

_snake_case : List[Any]  				=						{
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

_snake_case : str  				=						{
    'google/rembert': 256,
}

class      A       (						_a       ):
							lowercase_							     =							VOCAB_FILES_NAMES
							lowercase_							     =							PRETRAINED_VOCAB_FILES_MAP
							lowercase_							     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







							def __init__(    self			:    List[str]				,     lowerCAmelCase_			:    List[Any]				,     lowerCAmelCase_			:    Tuple=False				,     lowerCAmelCase_			:    Tuple=True				,     lowerCAmelCase_			:    Dict=True				,     lowerCAmelCase_			:    Optional[Any]="[CLS]"				,     lowerCAmelCase_			:    Any="[SEP]"				,     lowerCAmelCase_			:    Dict="[UNK]"				,     lowerCAmelCase_			:    Tuple="[SEP]"				,     lowerCAmelCase_			:    List[str]="[PAD]"				,     lowerCAmelCase_			:    Optional[int]="[CLS]"				,     lowerCAmelCase_			:    Optional[Any]="[MASK]"				,     **lowerCAmelCase_			:    List[Any]				,     )     ->				int:


														"""simple docstring"""


														super().__init__(
														    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_				,     )

														_a      	=							do_lower_case
														_a      	=							remove_space
														_a      	=							keep_accents
														_a      	=							vocab_file

														_a      	=							spm.SentencePieceProcessor()
														self.sp_model.Load(lowerCAmelCase_   )







							@property
							def   __lowerCAmelCase     (    self			:    str   )     ->				Any:


														"""simple docstring"""


														return len(self.sp_model   )







							def   __lowerCAmelCase     (    self			:    Dict   )     ->				Union[str, Any]:


														"""simple docstring"""


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







							def __getstate__(    self			:    List[Any]   )     ->				List[Any]:


														"""simple docstring"""


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







							def __setstate__(    self			:    Optional[Any]				,     lowerCAmelCase_			:    List[Any]   )     ->				int:


														"""simple docstring"""


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







							def   __lowerCAmelCase     (    self			:    Union[str, Any]				,     lowerCAmelCase_			:    Optional[Any]				,     lowerCAmelCase_			:    List[str]=False   )     ->				Tuple:


														"""simple docstring"""


														_a      	=							self.sp_model.EncodeAsPieces(lowerCAmelCase_   )
														return pieces







							def   __lowerCAmelCase     (    self			:    int				,     lowerCAmelCase_			:    Dict   )     ->				Union[str, Any]:


														"""simple docstring"""


														return self.sp_model.PieceToId(lowerCAmelCase_   )







							def   __lowerCAmelCase     (    self			:    Optional[Any]				,     lowerCAmelCase_			:    Optional[Any]   )     ->				int:


														"""simple docstring"""


														return self.sp_model.IdToPiece(lowerCAmelCase_   )







							def   __lowerCAmelCase     (    self			:    Tuple				,     lowerCAmelCase_			:    Any   )     ->				Union[str, Any]:


														"""simple docstring"""


														_a      	=							self.sp_model.decode_pieces(lowerCAmelCase_   )
														return out_string







							def   __lowerCAmelCase     (    self			:    List[Any]				,     lowerCAmelCase_			:    List[int]				,     lowerCAmelCase_			:    Optional[List[int]] = None   )     ->				List[int]:


														"""simple docstring"""


														_a      	=							[self.sep_token_id]
														_a      	=							[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			:    List[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   __lowerCAmelCase     (    self			:    List[str]				,     lowerCAmelCase_			:    List[int]				,     lowerCAmelCase_			:    Optional[List[int]] = None   )     ->				List[int]:


														"""simple docstring"""


														_a      	=							[self.sep_token_id]
														_a      	=							[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			:    Optional[int]				,     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
														_a      	=							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,)








def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    bool:
		return not any(
		    neighbour == 1 and colored_vertices[i] == color
		    for i, neighbour in enumerate(snake_case							)							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case						,   snake_case							)		->    bool:

		# Base Case
		if index == len(snake_case							):
				return True

		# Recursive Step
		for i in range(snake_case							):
				if valid_coloring(graph[index]						,   snake_case						,   snake_case							):
						# Color current vertex
						__lowercase											=     i
						# Validate coloring
						if util_color(snake_case						,   snake_case						,   snake_case						,   index + 1							):
								return True
						# Backtrack
						__lowercase											=     -1
		return False



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case							)		->    list[int]:
		__lowercase											=     [-1] * len(snake_case							)

		if util_color(snake_case						,   snake_case						,   snake_case						,   0							):
				return colored_vertices

		return []




