
import json
import os
from typing import List, Optional, Tuple

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


UpperCAmelCase_											=  logging.get_logger(__name__)

UpperCAmelCase_											=  {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

UpperCAmelCase_											=  {
    """vocab_file""": {
        """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json""",
    },
    """merges_file""": {"""microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"""},
}

UpperCAmelCase_											=  {
    """microsoft/biogpt""": 10_24,
}
def     A__					(						SCREAMING_SNAKE_CASE_      :			str	)     ->     Tuple:






   """simple docstring"""







   _UpperCAmelCase											=      set()
   _UpperCAmelCase											=      word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)	)
      _UpperCAmelCase											=      char
   return pairs




class  __UpperCamelCase						(       _a						):
     __A  :     Tuple            =      VOCAB_FILES_NAMES
     __A  :     Optional[int]            =      PRETRAINED_VOCAB_FILES_MAP
     __A  :     str            =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A  :     Any            =      ["""input_ids""", """attention_mask"""]





     def __init__(    self							,       _UpperCamelCase							,       _UpperCamelCase							,       _UpperCamelCase="<unk>"							,       _UpperCamelCase="<s>"							,       _UpperCamelCase="</s>"							,       _UpperCamelCase="</s>"							,       _UpperCamelCase="<pad>"							,       **_UpperCamelCase							,       ):
        super().__init__(
            bos_token=lowerCamelCase__							,       eos_token=lowerCamelCase__							,       sep_token=lowerCamelCase__							,       unk_token=lowerCamelCase__							,       pad_token=lowerCamelCase__							,       **lowerCamelCase__							,       )

        try:
           import sacremoses
        except ImportError:
           raise ImportError(
               '''You need to install sacremoses to use BioGptTokenizer. '''
               '''See https://pypi.org/project/sacremoses/ for installation.'''				)

        _UpperCAmelCase											=      "en"
        _UpperCAmelCase											=      sacremoses
        # cache of sm.MosesTokenizer instance
        _UpperCAmelCase											=      {}
        _UpperCAmelCase											=      {}
        with open(lowerCamelCase__							,       encoding='''utf-8'''				) as vocab_handle:
           _UpperCAmelCase											=      json.load(lowerCamelCase__				)
        _UpperCAmelCase											=      {v: k for k, v in self.encoder.items()}
        with open(lowerCamelCase__							,       encoding='''utf-8'''				) as merges_handle:
           _UpperCAmelCase											=      merges_handle.read().split('''\n'''				)[:-1]
        _UpperCAmelCase											=      [tuple(merge.split()[:2]				) for merge in merges]
        _UpperCAmelCase											=      dict(zip(lowerCamelCase__							,       range(len(lowerCamelCase__				)				)				)				)
        _UpperCAmelCase											=      {}





     @property
     def 		UpperCamelCase(    self				):
        return len(self.encoder				)





     def 		UpperCamelCase(    self				):
        return dict(self.encoder							,       **self.added_tokens_encoder				)





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase				):
        if lang not in self.cache_moses_tokenizer:
           _UpperCAmelCase											=      self.sm.MosesTokenizer(lang=lowerCamelCase__				)
           _UpperCAmelCase											=      moses_tokenizer
        return self.cache_moses_tokenizer[lang].tokenize(
            lowerCamelCase__							,       aggressive_dash_splits=lowerCamelCase__							,       return_str=lowerCamelCase__							,       escape=lowerCamelCase__				)





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase				):
        if lang not in self.cache_moses_detokenizer:
           _UpperCAmelCase											=      self.sm.MosesDetokenizer(lang=lowerCamelCase__				)
           _UpperCAmelCase											=      moses_detokenizer
        return self.cache_moses_detokenizer[lang].detokenize(lowerCamelCase__				)





     def 		UpperCamelCase(    self							,       _UpperCamelCase				):
        _UpperCAmelCase											=      tuple(token[:-1]				) + (token[-1] + "</w>",)
        if token in self.cache:
           return self.cache[token]
        _UpperCAmelCase											=      get_pairs(lowerCamelCase__				)

        if not pairs:
           return token + "</w>"

        while True:
           _UpperCAmelCase											=      min(lowerCamelCase__							,       key=lambda _UpperCamelCase				: self.bpe_ranks.get(lowerCamelCase__							,       float('''inf'''				)				)				)
           if bigram not in self.bpe_ranks:
              break
           _UpperCAmelCase											=      bigram
           _UpperCAmelCase											=      []
           _UpperCAmelCase											=      0
           while i < len(lowerCamelCase__				):
              try:
                 _UpperCAmelCase											=      word.index(lowerCamelCase__							,       lowerCamelCase__				)
              except ValueError:
                 new_word.extend(word[i:]				)
                 break
              else:
                 new_word.extend(word[i:j]				)
                 _UpperCAmelCase											=      j

              if word[i] == first and i < len(lowerCamelCase__				) - 1 and word[i + 1] == second:
                 new_word.append(first + second				)
                 i += 2
              else:
                 new_word.append(word[i]				)
                 i += 1
           _UpperCAmelCase											=      tuple(lowerCamelCase__				)
           _UpperCAmelCase											=      new_word
           if len(lowerCamelCase__				) == 1:
              break
           else:
              _UpperCAmelCase											=      get_pairs(lowerCamelCase__				)
        _UpperCAmelCase											=      " ".join(lowerCamelCase__				)
        if word == "\n  </w>":
           _UpperCAmelCase											=      "\n</w>"
        _UpperCAmelCase											=      word
        return word





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase=False				):
        if bypass_tokenizer:
           _UpperCAmelCase											=      text.split()
        else:
           _UpperCAmelCase											=      self.moses_tokenize(lowerCamelCase__							,       self.lang				)

        _UpperCAmelCase											=      []
        for token in text:
           if token:
              split_tokens.extend(list(self.bpe(lowerCamelCase__				).split(''' '''				)				)				)

        return split_tokens





     def 		UpperCamelCase(    self							,       _UpperCamelCase				):
        return self.encoder.get(lowerCamelCase__							,       self.encoder.get(self.unk_token				)				)





     def 		UpperCamelCase(    self							,       _UpperCamelCase				):
        return self.decoder.get(lowerCamelCase__							,       self.unk_token				)





     def 		UpperCamelCase(    self							,       _UpperCamelCase				):
        _UpperCAmelCase											=      [t.replace(''' '''							,       ''''''				).replace('''</w>'''							,       ''' '''				) for t in tokens]
        _UpperCAmelCase											=      "".join(lowerCamelCase__				).split()
        # detokenize
        _UpperCAmelCase											=      self.moses_detokenize(lowerCamelCase__							,       self.lang				)
        return text





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase = None				):
        if token_ids_a is None:
           return [self.sep_token_id] + token_ids_a
        _UpperCAmelCase											=      [self.sep_token_id]
        return sep + token_ids_a + sep + token_ids_a





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase = None							,       _UpperCamelCase = False				):
        if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=lowerCamelCase__							,       token_ids_a=lowerCamelCase__							,       already_has_special_tokens=lowerCamelCase__				)
        # no bos used in fairseq
        if token_ids_a is not None:
           return [1] + ([0] * len(lowerCamelCase__				)) + [1] + ([0] * len(lowerCamelCase__				))
        return [1] + ([0] * len(lowerCamelCase__				))





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase = None				):
        _UpperCAmelCase											=      [self.sep_token_id]

        # no bos used in fairseq
        if token_ids_a is None:
           return len(token_ids_a + sep				) * [0]
        return len(token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]





     def 		UpperCamelCase(    self							,       _UpperCamelCase							,       _UpperCamelCase = None				):
        if not os.path.isdir(lowerCamelCase__				):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''				)
           return
        _UpperCAmelCase											=      os.path.join(
            lowerCamelCase__							,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
        _UpperCAmelCase											=      os.path.join(
            lowerCamelCase__							,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']				)

        with open(lowerCamelCase__							,       '''w'''							,       encoding='''utf-8'''				) as f:
           f.write(json.dumps(self.encoder							,       indent=2							,       sort_keys=lowerCamelCase__							,       ensure_ascii=lowerCamelCase__				) + '''\n'''				)

        _UpperCAmelCase											=      0
        with open(lowerCamelCase__							,       '''w'''							,       encoding='''utf-8'''				) as writer:
           for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,       key=lambda _UpperCamelCase				: kv[1]				):
              if index != token_index:
                 logger.warning(
                     f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                     ''' Please check that the tokenizer is not corrupted!'''				)
                 _UpperCAmelCase											=      token_index
              writer.write(''' '''.join(lowerCamelCase__				) + '''\n'''				)
              index += 1

        return vocab_file, merge_file





     def __getstate__(    self				):
        _UpperCAmelCase											=      self.__dict__.copy()
        _UpperCAmelCase											=      None
        return state





     def __setstate__(    self							,       _UpperCamelCase				):
        _UpperCAmelCase											=      d

        try:
           import sacremoses
        except ImportError:
           raise ImportError(
               '''You need to install sacremoses to use XLMTokenizer. '''
               '''See https://pypi.org/project/sacremoses/ for installation.'''				)

        _UpperCAmelCase											=      sacremoses






def     A__					(						SCREAMING_SNAKE_CASE_      :			Optional[int]							,  SCREAMING_SNAKE_CASE_      :			str	)     ->     List[str]:






   """simple docstring"""







   print('''\nVertex Distance'''	)
   for i in range(SCREAMING_SNAKE_CASE_	):
      if dist[i] != float('''inf'''	):
         print(SCREAMING_SNAKE_CASE_							,  '''\t'''							,  int(dist[i]	)							,  end='''\t'''	)
      else:
         print(SCREAMING_SNAKE_CASE_							,  '''\t'''							,  '''INF'''							,  end='''\t'''	)
      print()
def     A__					(						SCREAMING_SNAKE_CASE_      :			Any							,  SCREAMING_SNAKE_CASE_      :			Optional[Any]							,  SCREAMING_SNAKE_CASE_      :			str	)     ->     Any:






   """simple docstring"""







   _UpperCAmelCase											=      float('''inf'''	)
   _UpperCAmelCase											=      -1
   for i in range(SCREAMING_SNAKE_CASE_	):
      if (not vset[i]) and mdist[i] < min_val:
         _UpperCAmelCase											=      i
         _UpperCAmelCase											=      mdist[i]
   return min_ind
def     A__					(						SCREAMING_SNAKE_CASE_      :			str							,  SCREAMING_SNAKE_CASE_      :			Dict							,  SCREAMING_SNAKE_CASE_      :			int	)     ->     Any:






   """simple docstring"""







   _UpperCAmelCase											=      [float('''inf'''	) for _ in range(SCREAMING_SNAKE_CASE_	)]
   _UpperCAmelCase											=      [False for _ in range(SCREAMING_SNAKE_CASE_	)]
   _UpperCAmelCase											=      0.0

   for _ in range(v - 1	):
      _UpperCAmelCase											=      min_dist(SCREAMING_SNAKE_CASE_							,  SCREAMING_SNAKE_CASE_							,  SCREAMING_SNAKE_CASE_	)
      _UpperCAmelCase											=      True

      for i in range(SCREAMING_SNAKE_CASE_	):
         if (
             (not vset[i])
             and graph[u][i] != float('''inf'''	)
             and mdist[u] + graph[u][i] < mdist[i]
         ):
            _UpperCAmelCase											=      mdist[u] + graph[u][i]

   print_dist(SCREAMING_SNAKE_CASE_							,  SCREAMING_SNAKE_CASE_	)


if __name__ == "__main__":
   UpperCAmelCase_											=  int(input("Enter number of vertices: ").strip())
   UpperCAmelCase_											=  int(input("Enter number of edges: ").strip())

   UpperCAmelCase_											=  [[float("inf") for i in range(V)] for j in range(V)]

   for i in range(V):
      UpperCAmelCase_											=  0.0

   for i in range(E):
      print("\nEdge ", i + 1)
      UpperCAmelCase_											=  int(input("Enter source:").strip())
      UpperCAmelCase_											=  int(input("Enter destination:").strip())
      UpperCAmelCase_											=  float(input("Enter weight:").strip())
      UpperCAmelCase_											=  weight

   UpperCAmelCase_											=  int(input("\nEnter shortest path source:").strip())
   dijkstra(graph, V, gsrc)