

import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__lowerCamelCase						    =      logging.get_logger(__name__)


class    A__ ( __SCREAMING_SNAKE_CASE     ):
    lowercase		   =						["input_ids", "attention_mask"]



    def __init__(   self						,			UpperCamelCase__="</s>"						,			UpperCamelCase__="<unk>"						,			UpperCamelCase__="<pad>"						,			UpperCamelCase__=125						,			UpperCamelCase__=None						,			**UpperCamelCase__						,			)  -> Dict:





           '''simple docstring'''
           # Add extra_ids to the special token list
           if extra_ids > 0 and additional_special_tokens is None:
                  A_		   = [f'''<extra_id_{i}>''' for i in range(_snake_case    )]
           elif extra_ids > 0 and additional_special_tokens is not None:
                  # Check that we have the right number of extra_id special tokens
                  A_		   = len(set(filter(lambda UpperCamelCase__    : bool("""extra_id""" in str(_snake_case    )    )						,			_snake_case    )    )    )
                  if extra_tokens != extra_ids:
                         raise ValueError(
                             f'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
                             """ provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"""
                             """ extra_ids tokens"""    )

           A_		   = AddedToken(_snake_case						,			lstrip=_snake_case						,			rstrip=_snake_case    ) if isinstance(_snake_case						,			_snake_case    ) else pad_token
           A_		   = AddedToken(_snake_case						,			lstrip=_snake_case						,			rstrip=_snake_case    ) if isinstance(_snake_case						,			_snake_case    ) else eos_token
           A_		   = AddedToken(_snake_case						,			lstrip=_snake_case						,			rstrip=_snake_case    ) if isinstance(_snake_case						,			_snake_case    ) else unk_token

           super().__init__(
               eos_token=_snake_case						,			unk_token=_snake_case						,			pad_token=_snake_case						,			extra_ids=_snake_case						,			additional_special_tokens=_snake_case						,			**_snake_case						,			)

           A_		   = extra_ids

           A_		   = 2**8  # utf is 8 bits

           # define special tokens dict
           A_		   = {
               self.pad_token: 0,
               self.eos_token: 1,
               self.unk_token: 2,
           }
           A_		   = len(self.special_tokens_encoder    )
           A_		   = len(_snake_case    )
           for i, token in enumerate(_snake_case    ):
                  A_		   = self.vocab_size + i - n
           A_		   = {v: k for k, v in self.special_tokens_encoder.items()}



    @property
    def    snake_case_     (   self    )  -> List[Any]:





           '''simple docstring'''
           return self._utf_vocab_size + self._num_special_tokens + self._extra_ids



    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__ = None						,			UpperCamelCase__ = False    )  -> List[str]:





           '''simple docstring'''
           if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=_snake_case						,			token_ids_a=_snake_case						,			already_has_special_tokens=_snake_case    )

           # normal case: some special tokens
           if token_ids_a is None:
                  return ([0] * len(_snake_case    )) + [1]
           return ([0] * len(_snake_case    )) + [1] + ([0] * len(_snake_case    )) + [1]



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> int:





           '''simple docstring'''
           if len(_snake_case    ) > 0 and token_ids[-1] == self.eos_token_id:
                  warnings.warn(
                      f'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
                      """ eos tokens being added."""    )
                  return token_ids
           else:
                  return token_ids + [self.eos_token_id]



    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__ = None    )  -> int:





           '''simple docstring'''
           A_		   = [self.eos_token_id]

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



    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__ = None    )  -> Dict:





           '''simple docstring'''
           A_		   = self._add_eos_if_not_present(_snake_case    )
           if token_ids_a is None:
                  return token_ids_a
           else:
                  A_		   = self._add_eos_if_not_present(_snake_case    )
                  return token_ids_a + token_ids_a



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> List[Any]:





           '''simple docstring'''
           A_		   = [chr(_snake_case    ) for i in text.encode("""utf-8"""    )]
           return tokens



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> List[Any]:





           '''simple docstring'''
           if token in self.special_tokens_encoder:
                  A_		   = self.special_tokens_encoder[token]
           elif token in self.added_tokens_encoder:
                  A_		   = self.added_tokens_encoder[token]
           elif len(_snake_case    ) != 1:
                  A_		   = self.unk_token_id
           else:
                  A_		   = ord(_snake_case    ) + self._num_special_tokens
           return token_id



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> int:





           '''simple docstring'''
           if index in self.special_tokens_decoder:
                  A_		   = self.special_tokens_decoder[index]
           else:
                  A_		   = chr(index - self._num_special_tokens    )
           return token



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> List[Any]:





           '''simple docstring'''
           A_		   = b""
           for token in tokens:
                  if token in self.special_tokens_decoder:
                         A_		   = self.special_tokens_decoder[token].encode("""utf-8"""    )
                  elif token in self.added_tokens_decoder:
                         A_		   = self.special_tokens_decoder[token].encode("""utf-8"""    )
                  elif token in self.special_tokens_encoder:
                         A_		   = token.encode("""utf-8"""    )
                  elif token in self.added_tokens_encoder:
                         A_		   = token.encode("""utf-8"""    )
                  else:
                         A_		   = bytes([ord(_snake_case    )]    )
                  bstring += tok_string
           A_		   = bstring.decode("""utf-8"""						,			errors="""ignore"""    )
           return string







    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__ = None    )  -> Any:





           '''simple docstring'''
           return ()



'''simple docstring'''







import heapq as hq
import math
from collections.abc import Iterator


class    A__ :



    def __init__(   self						,			UpperCamelCase__    )  -> Dict:





           '''simple docstring'''
           A_		   = str(id_    )
           A_		   = None
           A_		   = None
           A_		   = []
           A_		   = {}  # {vertex:distance}



    def __lt__(   self						,			UpperCamelCase__    )  -> Optional[int]:





           '''simple docstring'''
           return self.key < other.key



    def __repr__(   self    )  -> Dict:





           '''simple docstring'''
           return self.id



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> Dict:





           '''simple docstring'''
           self.neighbors.append(UpperCamelCase__    )







    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__    )  -> Optional[Any]:





           '''simple docstring'''
           A_		   = weight

def  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__,    UpperCAmelCase__,    UpperCAmelCase__			)     ->     Optional[int]:
       # add the neighbors:
       graph[a - 1].add_neighbor(graph[b - 1]			)
       graph[b - 1].add_neighbor(graph[a - 1]			)
       # add the edges:
       graph[a - 1].add_edge(graph[b - 1],    UpperCAmelCase__			)
       graph[b - 1].add_edge(graph[a - 1],    UpperCAmelCase__			)
def  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__			)     ->     list:
       A_		   = []
       for u in graph:
              A_		   = math.inf
              A_		   = None
       A_		   = 0
       A_		   = graph[:]
       while q:
              A_		   = min(UpperCAmelCase__			)
              q.remove(UpperCAmelCase__			)
              for v in u.neighbors:
                     if (v in q) and (u.edges[v.id] < v.key):
                            A_		   = u
                            A_		   = u.edges[v.id]
       for i in range(1,    len(UpperCAmelCase__			)			):
              a.append((int(graph[i].id			) + 1, int(graph[i].pi.id			) + 1)			)
       return a
def  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__			)     ->     Iterator[tuple]:
       for u in graph:
              A_		   = math.inf
              A_		   = None
       A_		   = 0

       A_		   = list(UpperCAmelCase__			)
       hq.heapify(UpperCAmelCase__			)

       while h:
              A_		   = hq.heappop(UpperCAmelCase__			)
              for v in u.neighbors:
                     if (v in h) and (u.edges[v.id] < v.key):
                            A_		   = u
                            A_		   = u.edges[v.id]
                            hq.heapify(UpperCAmelCase__			)

       for i in range(1,    len(UpperCAmelCase__			)			):
              yield (int(graph[i].id			) + 1, int(graph[i].pi.id			) + 1)
def  UpperCAmelCase__      ( )     ->     None:
       pass


if __name__ == "__main__":
      import doctest

      doctest.testmod()
