




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate




@dataclass(frozen=lowerCAmelCase)
class       __lowerCAmelCase				(							lowerCAmelCase):
       _a           =  field(default='''image-classification'''					,       metadata={'''include_in_asdict_even_if_is_default''': True})
       _a           =  Features({'''image''': Image()})
       _a           =  Features({'''labels''': ClassLabel})
       _a           =  "image"
       _a           =  "labels"






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[Any]				,    _lowerCAmelCase:    int ):
         if self.label_column not in features:
           raise ValueError(F"Column {self.label_column} is not present in features." )
         if not isinstance(features[self.label_column]				,    _lowerCAmelCase ):
           raise ValueError(F"Column {self.label_column} is not a ClassLabel." )
         lowercase			:List[str]							=  copy.deepcopy(self )
         lowercase			:str							=  self.label_schema.copy()
         lowercase			:Union[str, Any]							=  features[self.label_column]
         lowercase			:Optional[int]							=  label_schema
         return task_template






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         return {
             self.image_column: "image",
             self.label_column: "labels",
         }









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		:  Dict	=   logging.get_logger(__name__)

_UpperCAmelCase		:  Optional[int]	=   "▁"

_UpperCAmelCase		:  int	=   {
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
}

_UpperCAmelCase		:  List[Any]	=   {
    "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		:  str	=   {
    "facebook/s2t-small-librispeech-asr": 1024,
}

_UpperCAmelCase		:  List[str]	=   ["pt", "fr", "ru", "nl", "ro", "it", "es", "de"]

_UpperCAmelCase		:  Tuple	=   {"mustc": MUSTC_LANGS}




class       __lowerCAmelCase				(							lowerCAmelCase):
       _a           =  VOCAB_FILES_NAMES
       _a           =  PRETRAINED_VOCAB_FILES_MAP
       _a           =  MAX_MODEL_INPUT_SIZES
       _a           =  ['''input_ids''', '''attention_mask''']

       _a           =  []






       def __init__(      self:    Dict				,    _lowerCAmelCase:    Optional[Any]				,    _lowerCAmelCase:    Optional[Any]				,    _lowerCAmelCase:    List[Any]="<s>"				,    _lowerCAmelCase:    List[str]="</s>"				,    _lowerCAmelCase:    Optional[int]="<pad>"				,    _lowerCAmelCase:    List[str]="<unk>"				,    _lowerCAmelCase:    Dict=False				,    _lowerCAmelCase:    Optional[Any]=False				,    _lowerCAmelCase:    Dict=None				,    _lowerCAmelCase:    Dict=None				,    _lowerCAmelCase:    Optional[Dict[str, Any]] = None				,    **_lowerCAmelCase:    Tuple				,    ):
         lowercase			:str							=  {} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=_lowerCAmelCase				,    eos_token=_lowerCAmelCase				,    unk_token=_lowerCAmelCase				,    pad_token=_lowerCAmelCase				,    do_upper_case=_lowerCAmelCase				,    do_lower_case=_lowerCAmelCase				,    tgt_lang=_lowerCAmelCase				,    lang_codes=_lowerCAmelCase				,    sp_model_kwargs=self.sp_model_kwargs				,    **_lowerCAmelCase				,    )
         lowercase			:List[str]							=  do_upper_case
         lowercase			:List[str]							=  do_lower_case

         lowercase			:str							=  load_json(_lowerCAmelCase )
         lowercase			:List[Any]							=  {v: k for k, v in self.encoder.items()}
         lowercase			:str							=  spm_file
         lowercase			:Any							=  load_spm(_lowerCAmelCase				,    self.sp_model_kwargs )

         if lang_codes is not None:
           lowercase			:List[str]							=  lang_codes
           lowercase			:Tuple							=  LANGUAGES[lang_codes]
           lowercase			:Any							=  [F"<lang:{lang}>" for lang in self.langs]
           lowercase			:Any							=  {lang: self.sp_model.PieceToId(F"<lang:{lang}>" ) for lang in self.langs}

           lowercase			:Optional[Any]							=  self.lang_tokens
           lowercase			:List[str]							=  tgt_lang if tgt_lang is not None else self.langs[0]

           self.set_tgt_lang_special_tokens(self._tgt_lang )
         else:
           lowercase			:Tuple							=  {}






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Tuple ):
         return len(self.encoder )






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Optional[Any] ):
         return self._tgt_lang






       @tgt_lang.setter
       def     SCREAMING_SNAKE_CASE			(      self:    List[Any]				,    _lowerCAmelCase:    Optional[Any] ):
         lowercase			:Any							=  new_tgt_lang
         self.set_tgt_lang_special_tokens(_lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[int]				,    _lowerCAmelCase:    str ):
         lowercase			:Any							=  self.lang_code_to_id[tgt_lang]
         lowercase			:List[Any]							=  [lang_code_id]






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[Any]				,    _lowerCAmelCase:    str ):
         return self.sp_model.encode(_lowerCAmelCase				,    out_type=_lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Dict				,    _lowerCAmelCase:    Tuple ):
         return self.encoder.get(_lowerCAmelCase				,    self.encoder[self.unk_token] )






       def     SCREAMING_SNAKE_CASE			(      self:    List[str]				,    _lowerCAmelCase:    int ):
         return self.decoder.get(_lowerCAmelCase				,    self.unk_token )






       def     SCREAMING_SNAKE_CASE			(      self:    List[Any]				,    _lowerCAmelCase:    List[str] ):
         lowercase			:int							=  []
         lowercase			:Any							=  ""
         for token in tokens:
           # make sure that special tokens are not decoded using sentencepiece model
           if token in self.all_special_tokens:
             lowercase			:Dict							=  self.sp_model.decode(_lowerCAmelCase )
             out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
             lowercase			:Any							=  []
           else:
             current_sub_tokens.append(_lowerCAmelCase )
         lowercase			:Dict							=  self.sp_model.decode(_lowerCAmelCase )
         out_string += decoded.upper() if self.do_upper_case else decoded
         return out_string.strip()






       def     SCREAMING_SNAKE_CASE			(      self:    Any				,    _lowerCAmelCase:    int				,    _lowerCAmelCase:    str=None ):
         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     SCREAMING_SNAKE_CASE			(      self:    int				,    _lowerCAmelCase:    List[int]				,    _lowerCAmelCase:    Optional[List[int]] = None				,    _lowerCAmelCase:    bool = 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 )

         lowercase			:int							=  [1] * len(self.prefix_tokens )
         lowercase			:List[str]							=  [1]
         if token_ids_a is None:
           return prefix_ones + ([0] * len(_lowerCAmelCase )) + suffix_ones
         return prefix_ones + ([0] * len(_lowerCAmelCase )) + ([0] * len(_lowerCAmelCase )) + suffix_ones






       def     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         lowercase			:int							=  self.encoder.copy()
         vocab.update(self.added_tokens_encoder )
         return vocab






       def __getstate__(      self:    Optional[Any] ):
         lowercase			:Union[str, Any]							=  self.__dict__.copy()
         lowercase			:Dict							=  None
         return state






       def __setstate__(      self:    Union[str, Any]				,    _lowerCAmelCase:    Dict ):
         lowercase			:List[Any]							=  d

         # for backward compatibility
         if not hasattr(self				,    "sp_model_kwargs" ):
           lowercase			:List[Any]							=  {}

         lowercase			:Union[str, Any]							=  load_spm(self.spm_file				,    self.sp_model_kwargs )






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any]				,    _lowerCAmelCase:    str				,    _lowerCAmelCase:    Optional[str] = None ):
         lowercase			:List[str]							=  Path(_lowerCAmelCase )
         assert save_dir.is_dir(), F"{save_directory} should be a directory"
         lowercase			:List[Any]							=  save_dir / (
             (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
         )
         lowercase			:Any							=  save_dir / (
             (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
         )

         save_json(self.encoder				,    _lowerCAmelCase )

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

         return (str(_lowerCAmelCase ), str(_lowerCAmelCase ))







def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase      ):
  lowercase			:Tuple							=  sentencepiece.SentencePieceProcessor(**lowerCamelCase      )
  spm.Load(str(lowerCamelCase      )      )
  return spm



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







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



