


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    =					logging.get_logger(__name__)

UpperCAmelCase    =					"""▁"""

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

UpperCAmelCase    =					{
    """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    =					{
    """facebook/s2t-small-librispeech-asr""": 1024,
}

UpperCAmelCase    =					["""pt""", """fr""", """ru""", """nl""", """ro""", """it""", """es""", """de"""]

UpperCAmelCase    =					{"""mustc""": MUSTC_LANGS}







class lowerCAmelCase_		(				lowerCamelCase__ ):

 '''simple docstring'''

 __snake_case				=						VOCAB_FILES_NAMES
 __snake_case				=						PRETRAINED_VOCAB_FILES_MAP
 __snake_case				=						MAX_MODEL_INPUT_SIZES
 __snake_case				=						["input_ids", "attention_mask"]

 __snake_case				=						[]



 def __init__(			self	,   _UpperCAmelCase	,   _UpperCAmelCase	,   _UpperCAmelCase="<s>"	,   _UpperCAmelCase="</s>"	,   _UpperCAmelCase="<pad>"	,   _UpperCAmelCase="<unk>"	,   _UpperCAmelCase=False	,   _UpperCAmelCase=False	,   _UpperCAmelCase=None	,   _UpperCAmelCase=None	,   _UpperCAmelCase = None	,   **_UpperCAmelCase	,   ):
       snake_case_ =   {} if sp_model_kwargs is None else sp_model_kwargs

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

       snake_case_ =   load_json(_UpperCAmelCase      )
       snake_case_ =   {v: k for k, v in self.encoder.items()}
       snake_case_ =   spm_file
       snake_case_ =   load_spm(_UpperCAmelCase	,   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 		UpperCamelCase__  (			self      ):
       return len(self.encoder      )



 @property
 def 		UpperCamelCase__  (			self      ):
       return self._tgt_lang



 @tgt_lang.setter
 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       snake_case_ =   new_tgt_lang
       self.set_tgt_lang_special_tokens(_UpperCAmelCase      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       snake_case_ =   self.lang_code_to_id[tgt_lang]
       snake_case_ =   [lang_code_id]



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       return self.sp_model.encode(_UpperCAmelCase	,   out_type=_UpperCAmelCase      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       return self.encoder.get(_UpperCAmelCase	,   self.encoder[self.unk_token]      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       return self.decoder.get(_UpperCAmelCase	,   self.unk_token      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       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(_UpperCAmelCase      )
                   out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                   snake_case_ =   []
             else:
                   current_sub_tokens.append(_UpperCAmelCase      )
       snake_case_ =   self.sp_model.decode(_UpperCAmelCase      )
       out_string += decoded.upper() if self.do_upper_case else decoded
       return out_string.strip()



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase=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 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase = None	,   _UpperCAmelCase = False      ):

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

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



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



 def __getstate__(			self      ):
       snake_case_ =   self.__dict__.copy()
       snake_case_ =   None
       return state



 def __setstate__(			self	,   _UpperCAmelCase      ):
       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 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase = None      ):
       snake_case_ =   Path(_UpperCAmelCase      )
       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	,   _UpperCAmelCase      )

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

       return (str(_UpperCAmelCase      ), str(_UpperCAmelCase      ))






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )->						sentencepiece.SentencePieceProcessor:




      """simple docstring"""

      snake_case_ =   sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE      )
      spm.Load(str(SCREAMING_SNAKE_CASE      )      )
      return spm






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      )->						Union[Dict, List]:




      """simple docstring"""

      with open(SCREAMING_SNAKE_CASE      ,      '''r'''      ) as f:
            return json.load(SCREAMING_SNAKE_CASE      )






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )->						None:




      """simple docstring"""

      with open(SCREAMING_SNAKE_CASE      ,      '''w'''      ) as f:
            json.dump(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      ,      indent=2      )



from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor