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

import sentencepiece as spm

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


_SCREAMING_SNAKE_CASE										=						logging.get_logger(__name__)


_SCREAMING_SNAKE_CASE										=						'▁'

_SCREAMING_SNAKE_CASE										=						{'vocab_file': 'spiece.model'}

_SCREAMING_SNAKE_CASE										=						{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    }
}

_SCREAMING_SNAKE_CASE										=						{
    'google/reformer-crime-and-punishment': 524_288,
}



class 				a							(			__lowerCAmelCase       ):







 """simple docstring"""






 lowerCamelCase	:Dict    			=		VOCAB_FILES_NAMES
 lowerCamelCase	:str    			=		PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase	:Tuple    			=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase	:Union[str, Any]    			=		['''input_ids''', '''attention_mask''']



 def __init__(					self		,				lowerCAmelCase_		,				lowerCAmelCase_="</s>"		,				lowerCAmelCase_="<unk>"		,				lowerCAmelCase_=[]		,				lowerCAmelCase_ = None		,				**lowerCAmelCase_		,				)  ->					None:
        _A        =  {} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            eos_token=lowerCAmelCase_		,				unk_token=lowerCAmelCase_		,				additional_special_tokens=lowerCAmelCase_		,				sp_model_kwargs=self.sp_model_kwargs		,				**lowerCAmelCase_		,				)

        _A        =  vocab_file
        _A        =  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
        self.sp_model.Load(lowerCAmelCase_							)



 @property
 def      UpperCAmelCase							(					self							)  ->					str:
        return self.sp_model.get_piece_size()



 def      UpperCAmelCase							(					self							)  ->					Dict[str, int]:
        _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							)  ->					str:
        _A        =  self.__dict__.copy()
        _A        =  None
        return state



 def __setstate__(					self		,				lowerCAmelCase_							)  ->					Tuple:
        _A        =  d

        # for backward compatibility
        if not hasattr(self		,				"""sp_model_kwargs"""							):
               _A        =  {}

        _A        =  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
        self.sp_model.Load(self.vocab_file							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[str]:
        return self.sp_model.encode(lowerCAmelCase_		,				out_type=lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[Any]:
        return self.sp_model.piece_to_id(lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					Union[str, Any]:
        if index < self.sp_model.get_piece_size():
               _A        =  self.sp_model.IdToPiece(lowerCAmelCase_							)
        return token



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					Dict:
        _A        =  []
        _A        =  """"""
        for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                      out_string += self.sp_model.decode(lowerCAmelCase_							) + token
                      _A        =  []
               else:
                      current_sub_tokens.append(lowerCAmelCase_							)
        out_string += self.sp_model.decode(lowerCAmelCase_							)
        return out_string.strip()



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None							)  ->					Tuple[str]:
        if not os.path.isdir(lowerCAmelCase_							):
               logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
               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_							) and os.path.isfile(self.vocab_file							):
               copyfile(self.vocab_file		,				lowerCAmelCase_							)
        elif not os.path.isfile(self.vocab_file							):
               with open(lowerCAmelCase_		,				"""wb"""							) as fi:
                      _A        =  self.sp_model.serialized_model_proto()
                      fi.write(lowerCAmelCase_							)

        return (out_vocab_file,)





from __future__ import annotations

_SCREAMING_SNAKE_CASE										=						{
    'A': ['B', 'C', 'E'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F', 'G'],
    'D': ['B'],
    'E': ['A', 'B', 'D'],
    'F': ['C'],
    'G': ['C'],
}



class 				a							:







 """simple docstring"""






 def __init__(					self		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					None:
        _A        =  graph
        # mapping node to its parent in resulting breadth first tree
        _A        =  {}
        _A        =  source_vertex



 def      UpperCAmelCase							(					self							)  ->					None:
        _A        =  {self.source_vertex}
        _A        =  None
        _A        =  [self.source_vertex]  # first in first out queue

        while queue:
               _A        =  queue.pop(0							)
               for adjacent_vertex in self.graph[vertex]:
                      if adjacent_vertex not in visited:
                             visited.add(lowerCAmelCase_							)
                             _A        =  vertex
                             queue.append(lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					str:
        if target_vertex == self.source_vertex:
               return self.source_vertex

        _A        =  self.parent.get(lowerCAmelCase_							)
        if target_vertex_parent is None:
               _A        =  (
                   F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
               )
               raise ValueError(lowerCAmelCase_							)

        return self.shortest_path(lowerCAmelCase_							) + F'''->{target_vertex}'''


if __name__ == "__main__":
    _SCREAMING_SNAKE_CASE										=						Graph(graph, 'G')
    g.breath_first_search()
    print(g.shortest_path('D'))
    print(g.shortest_path('G'))
    print(g.shortest_path('Foo'))




