






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


lowerCamelCase_				: List[str]    	=							logging.get_logger(__name__)

lowerCamelCase_				: Optional[int]    	=							'''▁'''

lowerCamelCase_				: int    	=							{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

lowerCamelCase_				: List[str]    	=							{
    '''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'''
        )
    },
}

lowerCamelCase_				: List[str]    	=							{
    '''facebook/s2t-small-librispeech-asr''': 1024,
}

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

lowerCamelCase_				: int    	=							{'''mustc''': MUSTC_LANGS}
class    _SCREAMING_SNAKE_CASE							(		_a	):


			'''simple docstring'''





			__a							:							Tuple					     =					VOCAB_FILES_NAMES
			__a							:							str					     =					PRETRAINED_VOCAB_FILES_MAP
			__a							:							List[Any]					     =					MAX_MODEL_INPUT_SIZES
			__a							:							List[Any]					     =					["input_ids", "attention_mask"]

			__a							:							List[Any]					     =					[]






			def __init__(   self							:						Optional[int] ,      lowercase							:						Any ,      lowercase							:						Any ,      lowercase							:						List[str]="<s>" ,      lowercase							:						str="</s>" ,      lowercase							:						int="<pad>" ,      lowercase							:						str="<unk>" ,      lowercase							:						List[Any]=False ,      lowercase							:						List[Any]=False ,      lowercase							:						Any=None ,      lowercase							:						Any=None ,      lowercase							:						Optional[int] = None ,      **lowercase							:						Optional[int] ,      )							->    str:

									'''simple docstring'''







									UpperCamelCase__         = {} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    bos_token=_A ,      eos_token=_A ,      unk_token=_A ,      pad_token=_A ,      do_upper_case=_A ,      do_lower_case=_A ,      tgt_lang=_A ,      lang_codes=_A ,      sp_model_kwargs=self.sp_model_kwargs ,      **_A ,      )
									UpperCamelCase__         = do_upper_case
									UpperCamelCase__         = do_lower_case

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

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

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

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






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

									'''simple docstring'''







									return len(self.encoder			)






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

									'''simple docstring'''







									return self._tgt_lang






			@tgt_lang.setter
			def 				A      (   self							:						Optional[int] ,      lowercase							:						List[str]			)							->    Dict:

									'''simple docstring'''







									UpperCamelCase__         = new_tgt_lang
									self.set_tgt_lang_special_tokens(_A			)






			def 				A      (   self							:						Tuple ,      lowercase							:						Dict			)							->    Tuple:

									'''simple docstring'''







									UpperCamelCase__         = self.lang_code_to_id[tgt_lang]
									UpperCamelCase__         = [lang_code_id]






			def 				A      (   self							:						List[str] ,      lowercase							:						Union[str, Any]			)							->    List[Any]:

									'''simple docstring'''







									return self.sp_model.encode(_A ,      out_type=_A			)






			def 				A      (   self							:						int ,      lowercase							:						str			)							->    List[str]:

									'''simple docstring'''







									return self.encoder.get(_A ,      self.encoder[self.unk_token]			)






			def 				A      (   self							:						int ,      lowercase							:						List[str]			)							->    Union[str, Any]:

									'''simple docstring'''







									return self.decoder.get(_A ,      self.unk_token			)






			def 				A      (   self							:						Dict ,      lowercase							:						Any			)							->    str:

									'''simple docstring'''







									UpperCamelCase__         = []
									UpperCamelCase__         = """"""
									for token in tokens:
															# make sure that special tokens are not decoded using sentencepiece model
															if token in self.all_special_tokens:
																					UpperCamelCase__         = self.sp_model.decode(_A			)
																					out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
																					UpperCamelCase__         = []
															else:
																					current_sub_tokens.append(_A			)
									UpperCamelCase__         = self.sp_model.decode(_A			)
									out_string += decoded.upper() if self.do_upper_case else decoded
									return out_string.strip()






			def 				A      (   self							:						Dict ,      lowercase							:						int ,      lowercase							:						Union[str, Any]=None			)							->    Optional[int]:

									'''simple docstring'''







									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 				A      (   self							:						Optional[Any] ,      lowercase							:						List[str] ,      lowercase							:						Any = None ,      lowercase							:						List[str] = False			)							->    int:

									'''simple docstring'''







									if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=_A ,      token_ids_a=_A ,      already_has_special_tokens=_A			)

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






			def 				A      (   self							:						Any			)							->    Union[str, Any]:

									'''simple docstring'''







									UpperCamelCase__         = self.encoder.copy()
									vocab.update(self.added_tokens_encoder			)
									return vocab






			def __getstate__(   self							:						List[Any]			)							->    Optional[Any]:

									'''simple docstring'''







									UpperCamelCase__         = self.__dict__.copy()
									UpperCamelCase__         = None
									return state






			def __setstate__(   self							:						str ,      lowercase							:						str			)							->    List[Any]:

									'''simple docstring'''







									UpperCamelCase__         = d

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

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







			def 				A      (   self							:						List[Any] ,      lowercase							:						Union[str, Any] ,      lowercase							:						Union[str, Any] = None			)							->    List[str]:

									'''simple docstring'''







									UpperCamelCase__         = Path(_A			)
									assert save_dir.is_dir(), f"{save_directory} should be a directory"
									UpperCamelCase__         = save_dir / (
									    (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""vocab_file"""]
									)
									UpperCamelCase__         = save_dir / (
									    (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""spm_file"""]
									)

									save_json(self.encoder ,      _A			)

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

									return (str(_A			), str(_A			))







def 	__magic_name__( _A						,      _A					):
						'''simple docstring'''





						UpperCamelCase__         = sentencepiece.SentencePieceProcessor(**UpperCAmelCase__					)
						spm.Load(str(UpperCAmelCase__					)					)
						return spm







def 	__magic_name__( _A					):
						'''simple docstring'''





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







def 	__magic_name__( _A						,      _A					):
						'''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    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			def __init__(   self							:						Union[str, Any] ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									UpperCamelCase__         = num_of_nodes
									UpperCamelCase__         = []
									UpperCamelCase__         = {}






			def 				A      (   self							:						Optional[Any] ,      lowercase							:						int ,      lowercase							:						int ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									self.m_edges.append([u_node, v_node, weight]			)






			def 				A      (   self							:						str ,      lowercase							:						int			)							->    int:

									'''simple docstring'''







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






			def 				A      (   self							:						Union[str, Any] ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







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






			def 				A      (   self							:						Tuple ,      lowercase							:						list[int] ,      lowercase							:						int ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									if component_size[u_node] <= component_size[v_node]:
															UpperCamelCase__         = v_node
															component_size[v_node] += component_size[u_node]
															self.set_component(lowercase			)

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







			def 				A      (   self							:						int			)							->    None:

									'''simple docstring'''







									UpperCamelCase__         = []
									UpperCamelCase__         = 0

									UpperCamelCase__         = [-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			)

									UpperCamelCase__         = self.m_num_of_nodes

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

																					UpperCamelCase__         = self.m_component[u]
																					UpperCamelCase__         = 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
																																	):
																																							UpperCamelCase__         = [u, v, w]

															for edge in minimum_weight_edge:
																					if isinstance(lowercase ,      lowercase			):
																											UpperCamelCase__    ,   UpperCamelCase__    ,   UpperCamelCase__         = edge

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

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

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







def 	__magic_name__( ):
						'''simple docstring'''







if __name__ == "__main__":
					import doctest

					doctest.testmod()
