

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

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_xglm import XGLMTokenizer
else:
 _UpperCamelCase			      =		None


_UpperCamelCase			      =		logging.get_logger(__name__)

_UpperCamelCase			      =		{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_UpperCamelCase			      =		{
    "vocab_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json",
    },
}

_UpperCamelCase			      =		{
    "facebook/xglm-564M": 2048,
}







class   __lowercase				(_UpperCAmelCase			):
 _UpperCamelCase        =  VOCAB_FILES_NAMES
 _UpperCamelCase        =  PRETRAINED_VOCAB_FILES_MAP
 _UpperCamelCase        =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _UpperCamelCase        =  ["""input_ids""", """attention_mask"""]
 _UpperCamelCase        =  XGLMTokenizer
 def __init__(							self				,							A_=None				,							A_=None				,							A_="<s>"				,							A_="</s>"				,							A_="</s>"				,							A_="<s>"				,							A_="<unk>"				,							A_="<pad>"				,							**A_				,							) ->Tuple:



       '''simple docstring'''





       __lowerCAmelCase :						Union[str, Any] = 7
       __lowerCAmelCase :						Tuple = [f"""<madeupword{i}>""" for i in range(self.num_madeup_words )]

       __lowerCAmelCase :						List[Any] = kwargs.get('''additional_special_tokens'''				,							[] )
       kwargs["additional_special_tokens"] += [
           word for word in madeup_words if word not in kwargs["additional_special_tokens"]
       ]

       super().__init__(
           A_				,							tokenizer_file=A_				,							bos_token=A_				,							eos_token=A_				,							sep_token=A_				,							cls_token=A_				,							unk_token=A_				,							pad_token=A_				,							**A_				,							)

       __lowerCAmelCase :						str = vocab_file
       __lowerCAmelCase :						Tuple = False if not self.vocab_file else True
 def      UpperCamelCase__  (							self				,							A_				,							A_ = None ) ->List[int]:



       '''simple docstring'''





       if token_ids_a is None:
             return [self.sep_token_id] + token_ids_a
       __lowerCAmelCase :						int = [self.sep_token_id]
       return sep + token_ids_a + sep + sep + token_ids_a
 def      UpperCamelCase__  (							self				,							A_				,							A_ = None ) ->List[int]:



       '''simple docstring'''





       __lowerCAmelCase :						str = [self.sep_token_id]

       if token_ids_a is None:
             return len(sep + token_ids_a ) * [0]
       return len(sep + token_ids_a + sep + sep + token_ids_a ) * [0]





 def      UpperCamelCase__  (							self				,							A_				,							A_ = None ) ->Tuple[str]:



       '''simple docstring'''





       if not self.can_save_slow_tokenizer:
             raise ValueError(
                 '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                 '''tokenizer.''' )

       if not os.path.isdir(A_ ):
             logger.error(f"""Vocabulary path ({save_directory}) should be a directory.""" )
             return
       __lowerCAmelCase :						List[str] = 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,)





import heapq







def 		_lowercase			(					lowercase__       ,     lowercase__       ,     lowercase__						):
      __lowerCAmelCase :						Union[str, Any] = [(0, start)]  # cost from start node,end node
      __lowerCAmelCase :						Any = set()
      while heap:
            ((__lowerCAmelCase),							(__lowerCAmelCase)) :						str = heapq.heappop(lowercase__						)
            if u in visited:
                  continue
            visited.add(lowercase__						)
            if u == end:
                  return cost
            for v, c in graph[u]:
                  if v in visited:
                        continue
                  __lowerCAmelCase :						str = cost + c
                  heapq.heappush(lowercase__       ,     (next_item, v)						)
      return -1


_UpperCamelCase			      =		{
    "A": [["B", 2], ["C", 5]],
    "B": [["A", 2], ["D", 3], ["E", 1], ["F", 1]],
    "C": [["A", 5], ["F", 3]],
    "D": [["B", 3]],
    "E": [["B", 4], ["F", 3]],
    "F": [["C", 3], ["E", 3]],
}
_UpperCamelCase			      =		{
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["F", 3]],
    "F": [],
}
_UpperCamelCase			      =		{
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}

_UpperCamelCase			      =		dijkstra(G, "E", "C")
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

_UpperCamelCase			      =		dijkstra(Ga, "E", "F")
print(short_distance)  # E -- 3 --> F == 3

_UpperCamelCase			      =		dijkstra(Ga, "E", "F")
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
 import doctest

 doctest.testmod()


