




'''simple docstring'''





import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


UpperCamelCase_		:     Optional[int]          =		logging.get_logger(__name__)

UpperCamelCase_		:     Tuple          =		'''▁'''

UpperCamelCase_		:     List[Any]          =		{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

UpperCamelCase_		:     Tuple          =		{
    '''vocab_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'''
        ),
    },
    '''spm_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'''
        )
    },
}

UpperCamelCase_		:     Union[str, Any]          =		{
    '''facebook/s2t-small-librispeech-asr''': 1024,
}

UpperCamelCase_		:     List[Any]          =		['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

UpperCamelCase_		:     Dict          =		{'''mustc''': MUSTC_LANGS}

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

     SCREAMING_SNAKE_CASE_				:       List[int]       							=		[]






     def __init__(					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE="<s>"   ,_SCREAMING_SNAKE_CASE="</s>"   ,_SCREAMING_SNAKE_CASE="<pad>"   ,_SCREAMING_SNAKE_CASE="<unk>"   ,_SCREAMING_SNAKE_CASE=False   ,_SCREAMING_SNAKE_CASE=False   ,_SCREAMING_SNAKE_CASE=None   ,_SCREAMING_SNAKE_CASE=None   ,_SCREAMING_SNAKE_CASE = None   ,**_SCREAMING_SNAKE_CASE   ,)				->     None:
          _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   ,do_upper_case=_SCREAMING_SNAKE_CASE   ,do_lower_case=_SCREAMING_SNAKE_CASE   ,tgt_lang=_SCREAMING_SNAKE_CASE   ,lang_codes=_SCREAMING_SNAKE_CASE   ,sp_model_kwargs=self.sp_model_kwargs   ,**_SCREAMING_SNAKE_CASE   ,)
          _snake_case				= do_upper_case
          _snake_case				= do_lower_case

          _snake_case				= load_json(_SCREAMING_SNAKE_CASE       )
          _snake_case				= {v: k for k, v in self.encoder.items()}
          _snake_case				= spm_file
          _snake_case				= load_spm(_SCREAMING_SNAKE_CASE   ,self.sp_model_kwargs       )

          if lang_codes is not None:
               _snake_case				= lang_codes
               _snake_case				= LANGUAGES[lang_codes]
               _snake_case				= [f"""<lang:{lang}>""" for lang in self.langs]
               _snake_case				= {lang: self.sp_model.PieceToId(f"""<lang:{lang}>"""       ) for lang in self.langs}

               _snake_case				= self.lang_tokens
               _snake_case				= tgt_lang if tgt_lang is not None else self.langs[0]

               self.set_tgt_lang_special_tokens(self._tgt_lang       )
          else:
               _snake_case				= {}






     @property
     def 							_lowercase      (					self       )				->     int:
          return len(self.encoder       )






     @property
     def 							_lowercase      (					self       )				->     str:
          return self._tgt_lang






     @tgt_lang.setter
     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     None:
          _snake_case				= new_tgt_lang
          self.set_tgt_lang_special_tokens(_SCREAMING_SNAKE_CASE       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     None:
          _snake_case				= self.lang_code_to_id[tgt_lang]
          _snake_case				= [lang_code_id]






     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       )				->     Tuple:
          return self.encoder.get(_SCREAMING_SNAKE_CASE   ,self.encoder[self.unk_token]       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     str:
          return self.decoder.get(_SCREAMING_SNAKE_CASE   ,self.unk_token       )






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






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE=None       )				->     List[int]:
          if token_ids_a is None:
               return self.prefix_tokens + token_ids_a + [self.eos_token_id]
          # We don't expect to process pairs, but leave the pair logic for API consistency
          return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]






     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       )

          _snake_case				= [1] * len(self.prefix_tokens       )
          _snake_case				= [1]
          if token_ids_a is None:
               return prefix_ones + ([0] * len(_SCREAMING_SNAKE_CASE       )) + suffix_ones
          return prefix_ones + ([0] * len(_SCREAMING_SNAKE_CASE       )) + ([0] * len(_SCREAMING_SNAKE_CASE       )) + suffix_ones






     def 							_lowercase      (					self       )				->     Dict:
          _snake_case				= self.encoder.copy()
          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       )				->     None:
          _snake_case				= d

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

          _snake_case				= load_spm(self.spm_file   ,self.sp_model_kwargs       )






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE = None       )				->     Tuple[str]:
          _snake_case				= Path(_SCREAMING_SNAKE_CASE       )
          assert save_dir.is_dir(), f"""{save_directory} should be a directory"""
          _snake_case				= save_dir / (
              (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
          )
          _snake_case				= save_dir / (
              (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
          )

          save_json(self.encoder   ,_SCREAMING_SNAKE_CASE       )

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

          return (str(_SCREAMING_SNAKE_CASE       ), str(_SCREAMING_SNAKE_CASE       ))







def       __a      (  _UpperCamelCase:       str   ,		_UpperCamelCase:       Dict[str, Any]       )		->					sentencepiece.SentencePieceProcessor:

     """simple docstring"""




     _snake_case				= sentencepiece.SentencePieceProcessor(**_UpperCamelCase       )
     spm.Load(str(_UpperCamelCase       )       )
     return spm





def       __a      (  _UpperCamelCase:       str       )		->					Union[Dict, List]:

     """simple docstring"""




     with open(_UpperCamelCase   ,		"r"       ) as f:
          return json.load(_UpperCamelCase       )





def       __a      (  _UpperCamelCase:       int   ,		_UpperCamelCase:       str       )		->					None:

     """simple docstring"""




     with open(_UpperCamelCase   ,		"w"       ) as f:
          json.dump(_UpperCamelCase   ,		_UpperCamelCase   ,		indent=2       )








'''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()


