






"""simple docstring"""





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

import sentencepiece as spm

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


lowerCamelCase       	=						logging.get_logger(__name__)

lowerCamelCase       	=						{"""vocab_file""": """spm_char.model"""}

lowerCamelCase       	=						{
    """vocab_file""": {
        """microsoft/speecht5_asr""": """https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model""",
        """microsoft/speecht5_tts""": """https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model""",
        """microsoft/speecht5_vc""": """https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model""",
    }
}

lowerCamelCase       	=						{
    """microsoft/speecht5_asr""": 1_024,
    """microsoft/speecht5_tts""": 1_024,
    """microsoft/speecht5_vc""": 1_024,
}
class 				lowercase__       (   __UpperCamelCase				):







       '''simple docstring'''


       UpperCamelCase						=					VOCAB_FILES_NAMES
       UpperCamelCase						=					PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase						=					['''input_ids''', '''attention_mask''']



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


             '''simple docstring'''




             UpperCAmelCase_      			=							{} if sp_model_kwargs is None else sp_model_kwargs

             super().__init__(
                 bos_token=_UpperCAmelCase		,    eos_token=_UpperCAmelCase		,    unk_token=_UpperCAmelCase		,    pad_token=_UpperCAmelCase		,    sp_model_kwargs=self.sp_model_kwargs		,    **_UpperCAmelCase		,    )

             UpperCAmelCase_      			=							vocab_file

             UpperCAmelCase_      			=							spm.SentencePieceProcessor(**self.sp_model_kwargs   )
             self.sp_model.Load(_UpperCAmelCase   )



       @property
       def 					lowercase__    (							self      :  Optional[Any]   )			->						str:


             '''simple docstring'''




             return self.sp_model.get_piece_size()



       def 					lowercase__    (							self      :  Tuple   )			->						Dict:


             '''simple docstring'''




             UpperCAmelCase_      			=							{self.convert_ids_to_tokens(_UpperCAmelCase   ): i for i in range(self.vocab_size   )}
             vocab.update(self.added_tokens_encoder   )
             return vocab



       def __getstate__(							self      :  Tuple   )			->						List[str]:


             '''simple docstring'''




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



       def __setstate__(							self      :  List[str]		,    _UpperCAmelCase      :  Optional[int]   )			->						Dict:


             '''simple docstring'''




             UpperCAmelCase_      			=							d

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

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



       def 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  str   )			->						List[str]:


             '''simple docstring'''




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



       def 					lowercase__    (							self      :  Any		,    _UpperCAmelCase      :  Tuple   )			->						str:


             '''simple docstring'''




             return self.sp_model.piece_to_id(_UpperCAmelCase   )



       def 					lowercase__    (							self      :  int		,    _UpperCAmelCase      :  List[str]   )			->						Union[str, Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.sp_model.IdToPiece(_UpperCAmelCase   )
             return token



       def 					lowercase__    (							self      :  Optional[Any]		,    _UpperCAmelCase      :  Tuple   )			->						List[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:
                         out_string += self.sp_model.decode(_UpperCAmelCase   ) + token
                         UpperCAmelCase_      			=							[]
                   else:
                         current_sub_tokens.append(_UpperCAmelCase   )
             out_string += self.sp_model.decode(_UpperCAmelCase   )
             return out_string.strip()



       def 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  List[str]		,    _UpperCAmelCase      :  int=None   )			->						List[int]:


             '''simple docstring'''




             if token_ids_a is None:
                   return token_ids_a + [self.eos_token_id]
             # We don't expect to process pairs, but leave the pair logic for API consistency
             return token_ids_a + token_ids_a + [self.eos_token_id]



       def 					lowercase__    (							self      :  int		,    _UpperCAmelCase      :  List[int]		,    _UpperCAmelCase      :  Optional[List[int]] = None		,    _UpperCAmelCase      :  bool = False   )			->						List[int]:


             '''simple docstring'''




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

             UpperCAmelCase_      			=							[1]
             if token_ids_a is None:
                   return ([0] * len(_UpperCAmelCase   )) + suffix_ones
             return ([0] * len(_UpperCAmelCase   )) + ([0] * len(_UpperCAmelCase   )) + suffix_ones







       def 					lowercase__    (							self      :  Tuple		,    _UpperCAmelCase      :  str		,    _UpperCAmelCase      :  Optional[str] = None   )			->						Tuple[str]:


             '''simple docstring'''




             if not os.path.isdir(_UpperCAmelCase   ):
                   logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
                   return
             UpperCAmelCase_      			=							os.path.join(
                 _UpperCAmelCase		,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

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

             return (out_vocab_file,)









"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


lowerCamelCase       	=						logging.get_logger(__name__)
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  List[Any]		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						None:


             '''simple docstring'''




             warnings.warn(
                 "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                 " use FlavaImageProcessor instead."		,    _UpperCAmelCase		,    )
             super().__init__(*_UpperCAmelCase		,    **_UpperCAmelCase   )




