




'''simple docstring'''





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

import sentencepiece as spm

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


UpperCamelCase_		:     Union[str, Any]          =		logging.get_logger(__name__)

UpperCamelCase_		:     Optional[Any]          =		{'''vocab_file''': '''spiece.model'''}

UpperCamelCase_		:     Dict          =		{
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    }
}

UpperCamelCase_		:     List[Any]          =		{
    '''google/bigbird-roberta-base''': 4096,
    '''google/bigbird-roberta-large''': 4096,
    '''google/bigbird-base-trivia-itc''': 4096,
}

class   _a							(		__lowerCAmelCase				):
     SCREAMING_SNAKE_CASE_				:       List[str]       							=		VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE_				:       Union[str, Any]       							=		PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE_				:       Optional[Any]       							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE_				:       str       							=		["""input_ids""", """attention_mask"""]
     SCREAMING_SNAKE_CASE_				:       List[int]       							=		[]






     def __init__(					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE="<unk>"   ,_SCREAMING_SNAKE_CASE="<s>"   ,_SCREAMING_SNAKE_CASE="</s>"   ,_SCREAMING_SNAKE_CASE="<pad>"   ,_SCREAMING_SNAKE_CASE="[SEP]"   ,_SCREAMING_SNAKE_CASE="[MASK]"   ,_SCREAMING_SNAKE_CASE="[CLS]"   ,_SCREAMING_SNAKE_CASE = None   ,**_SCREAMING_SNAKE_CASE   ,)				->     None:
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else bos_token
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else eos_token
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else unk_token
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else pad_token
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else cls_token
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else sep_token

          # Mask token behave like a normal word, i.e. include the space before it
          _snake_case				= AddedToken(_SCREAMING_SNAKE_CASE   ,lstrip=_SCREAMING_SNAKE_CASE   ,rstrip=_SCREAMING_SNAKE_CASE       ) if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ) else mask_token

          _snake_case				= {} if sp_model_kwargs is None else sp_model_kwargs

          super().__init__(
              bos_token=_SCREAMING_SNAKE_CASE   ,eos_token=_SCREAMING_SNAKE_CASE   ,unk_token=_SCREAMING_SNAKE_CASE   ,pad_token=_SCREAMING_SNAKE_CASE   ,sep_token=_SCREAMING_SNAKE_CASE   ,mask_token=_SCREAMING_SNAKE_CASE   ,cls_token=_SCREAMING_SNAKE_CASE   ,sp_model_kwargs=self.sp_model_kwargs   ,**_SCREAMING_SNAKE_CASE   ,)

          _snake_case				= vocab_file

          _snake_case				= spm.SentencePieceProcessor(**self.sp_model_kwargs       )
          self.sp_model.Load(_SCREAMING_SNAKE_CASE       )






     @property
     def 							_lowercase      (					self       )				->     Optional[Any]:
          return self.sp_model.get_piece_size()






     def 							_lowercase      (					self       )				->     Any:
          _snake_case				= {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE       ): i for i in range(self.vocab_size       )}
          vocab.update(self.added_tokens_encoder       )
          return vocab






     def __getstate__(					self       )				->     Dict:
          _snake_case				= self.__dict__.copy()
          _snake_case				= None
          return state






     def __setstate__(					self   ,_SCREAMING_SNAKE_CASE       )				->     Optional[Any]:
          _snake_case				= d

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

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






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






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     str:
          return self.sp_model.piece_to_id(_SCREAMING_SNAKE_CASE       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     str:
          _snake_case				= self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE       )
          return token






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     Any:
          _snake_case				= []
          _snake_case				= ""
          _snake_case				= False
          for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                    if not prev_is_special:
                         out_string += " "
                    out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE       ) + token
                    _snake_case				= True
                    _snake_case				= []
               else:
                    current_sub_tokens.append(_SCREAMING_SNAKE_CASE       )
                    _snake_case				= False
          out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE       )
          return out_string.strip()






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE = False   ,_SCREAMING_SNAKE_CASE = None   ,_SCREAMING_SNAKE_CASE = True   ,**_SCREAMING_SNAKE_CASE   ,)				->     str:
          _snake_case				= kwargs.pop("use_source_tokenizer"   ,_SCREAMING_SNAKE_CASE       )

          _snake_case				= self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   ,skip_special_tokens=_SCREAMING_SNAKE_CASE       )

          # To avoid mixing byte-level and unicode for byte-level BPT
          # we need to build string separately for added tokens and byte-level tokens
          # cf. https://github.com/huggingface/transformers/issues/1133
          _snake_case				= []
          _snake_case				= []
          for token in filtered_tokens:
               if skip_special_tokens and token in self.all_special_ids:
                    continue
               if token in self.added_tokens_encoder:
                    if current_sub_text:
                         sub_texts.append(self.convert_tokens_to_string(_SCREAMING_SNAKE_CASE       )       )
                         _snake_case				= []
                    sub_texts.append(_SCREAMING_SNAKE_CASE       )
               else:
                    current_sub_text.append(_SCREAMING_SNAKE_CASE       )
          if current_sub_text:
               sub_texts.append(self.convert_tokens_to_string(_SCREAMING_SNAKE_CASE       )       )

          # Mimic the behavior of the Rust tokenizer:
          # No space before [MASK] and [SEP]
          if spaces_between_special_tokens:
               _snake_case				= re.sub(r" (\[(MASK|SEP)\])"   ,r"\1"   ," ".join(_SCREAMING_SNAKE_CASE       )       )
          else:
               _snake_case				= "".join(_SCREAMING_SNAKE_CASE       )

          _snake_case				= (
              clean_up_tokenization_spaces
              if clean_up_tokenization_spaces is not None
              else self.clean_up_tokenization_spaces
          )
          if clean_up_tokenization_spaces:
               _snake_case				= self.clean_up_tokenization(_SCREAMING_SNAKE_CASE       )
               return clean_text
          else:
               return text






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE = None       )				->     Tuple[str]:
          if not os.path.isdir(_SCREAMING_SNAKE_CASE       ):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""       )
               return
          _snake_case				= os.path.join(
              _SCREAMING_SNAKE_CASE   ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )

          if os.path.abspath(self.vocab_file       ) != os.path.abspath(_SCREAMING_SNAKE_CASE       ) and os.path.isfile(self.vocab_file       ):
               copyfile(self.vocab_file   ,_SCREAMING_SNAKE_CASE       )
          elif not os.path.isfile(self.vocab_file       ):
               with open(_SCREAMING_SNAKE_CASE   ,"wb"       ) as fi:
                    _snake_case				= self.sp_model.serialized_model_proto()
                    fi.write(_SCREAMING_SNAKE_CASE       )

          return (out_vocab_file,)






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE = None       )				->     List[int]:
          if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          _snake_case				= [self.cls_token_id]
          _snake_case				= [self.sep_token_id]
          return cls + token_ids_a + sep + token_ids_a + sep






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE = None   ,_SCREAMING_SNAKE_CASE = False       )				->     List[int]:
          if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=_SCREAMING_SNAKE_CASE   ,token_ids_a=_SCREAMING_SNAKE_CASE   ,already_has_special_tokens=_SCREAMING_SNAKE_CASE       )

          if token_ids_a is None:
               return [1] + ([0] * len(_SCREAMING_SNAKE_CASE       )) + [1]
          return [1] + ([0] * len(_SCREAMING_SNAKE_CASE       )) + [1] + ([0] * len(_SCREAMING_SNAKE_CASE       )) + [1]






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE = None       )				->     List[int]:
          _snake_case				= [self.sep_token_id]
          _snake_case				= [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]








'''simple docstring'''





from __future__ import annotations

from typing import Any

class   _a							:






     def __init__(					self   ,_SCREAMING_SNAKE_CASE       )				->     None:
          _snake_case				= num_of_nodes
          _snake_case				= []
          _snake_case				= {}






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       )				->     None:
          self.m_edges.append([u_node, v_node, weight]       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     int:

          if self.m_component[u_node] == u_node:
               return u_node
          return self.find_component(self.m_component[u_node]       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     None:

          if self.m_component[u_node] != u_node:
               for k in self.m_component:
                    _snake_case				= self.find_component(_SCREAMING_SNAKE_CASE       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       )				->     None:

          if component_size[u_node] <= component_size[v_node]:
               _snake_case				= v_node
               component_size[v_node] += component_size[u_node]
               self.set_component(_SCREAMING_SNAKE_CASE       )

          elif component_size[u_node] >= component_size[v_node]:
               _snake_case				= self.find_component(_SCREAMING_SNAKE_CASE       )
               component_size[u_node] += component_size[v_node]
               self.set_component(_SCREAMING_SNAKE_CASE       )






     def 							_lowercase      (					self       )				->     None:
          _snake_case				= []
          _snake_case				= 0

          _snake_case				= [-1] * self.m_num_of_nodes

          # A list of components (initialized to all of the nodes)
          for node in range(self.m_num_of_nodes       ):
               self.m_component.update({node: node}       )
               component_size.append(1       )

          _snake_case				= self.m_num_of_nodes

          while num_of_components > 1:
               for edge in self.m_edges:
                    _snake_case				,   _snake_case				,   _snake_case				= edge

                    _snake_case				= self.m_component[u]
                    _snake_case				= self.m_component[v]

                    if u_component != v_component:

                         for component in (u_component, v_component):
                              if (
                                  minimum_weight_edge[component] == -1
                                  or minimum_weight_edge[component][2] > w
                              ):
                                   _snake_case				= [u, v, w]

               for edge in minimum_weight_edge:
                    if isinstance(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       ):
                         _snake_case				,   _snake_case				,   _snake_case				= edge

                         _snake_case				= self.m_component[u]
                         _snake_case				= self.m_component[v]

                         if u_component != v_component:
                              mst_weight += w
                              self.union(_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       )
                              print(f"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""       )
                              num_of_components -= 1

               _snake_case				= [-1] * self.m_num_of_nodes
          print(f"""The total weight of the minimal spanning tree is: {mst_weight}"""       )







def       __a      (  )		->					None:

     """simple docstring"""






if __name__ == "__main__":
   import doctest

   doctest.testmod()


