





import numpy as np  # noqa: E402

from ...configuration_utils import ConfigMixin, register_to_config
from ...schedulers.scheduling_utils import SchedulerMixin


try:
  import librosa  # noqa: E402

  _snake_case				= True
  _snake_case				= """"""
except Exception as e:
  _snake_case				= False
  _snake_case				= (
      F"""Cannot import librosa because {e}. Make sure to correctly install librosa to be able to install it."""
  )


from PIL import Image  # noqa: E402





class 					lowerCAmelCase							(   lowercase_							,							lowercase_					):
  __lowerCamelCase		=			'mel_config.json'







  @register_to_config
  def __init__(			self  :Any    ,							_lowercase  :int = 2_56    ,							_lowercase  :int = 2_56    ,							_lowercase  :int = 2_20_50    ,							_lowercase  :int = 20_48    ,							_lowercase  :int = 5_12    ,							_lowercase  :int = 80    ,							_lowercase  :int = 32    ,							):






     '''simple docstring'''





     lowercase__    =  hop_length
     lowercase__    =  sample_rate
     lowercase__    =  n_fft
     lowercase__    =  top_db
     lowercase__    =  n_iter
     self.set_resolution(_lowercase    ,							_lowercase					)
     lowercase__    =  None

     if not _librosa_can_be_imported:
        raise ValueError(_import_error					)







  def   UpperCAmelCase     (			self  :List[Any]    ,							_lowercase  :int    ,							_lowercase  :int					):






     '''simple docstring'''





     lowercase__    =  x_res
     lowercase__    =  y_res
     lowercase__    =  self.y_res
     lowercase__    =  self.x_res * self.hop_length - 1







  def   UpperCAmelCase     (			self  :Dict    ,							_lowercase  :str = None    ,							_lowercase  :np.ndarray = None					):






     '''simple docstring'''





     if audio_file is not None:
        lowercase__   ,							lowercase__    =  librosa.load(_lowercase    ,							mono=_lowercase    ,							sr=self.sr					)
     else:
        lowercase__    =  raw_audio

     # Pad with silence if necessary.
     if len(self.audio					) < self.x_res * self.hop_length:
        lowercase__    =  np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio					),)					)]					)







  def   UpperCAmelCase     (			self  :str					):






     '''simple docstring'''





     return len(self.audio					) // self.slice_size







  def   UpperCAmelCase     (			self  :Dict    ,							_lowercase  :int = 0					):






     '''simple docstring'''





     return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]







  def   UpperCAmelCase     (			self  :Optional[Any]					):






     '''simple docstring'''





     return self.sr







  def   UpperCAmelCase     (			self  :Dict    ,							_lowercase  :int					):






     '''simple docstring'''





     lowercase__    =  librosa.feature.melspectrogram(
         y=self.get_audio_slice(_lowercase					)    ,							sr=self.sr    ,							n_fft=self.n_fft    ,							hop_length=self.hop_length    ,							n_mels=self.n_mels					)
     lowercase__    =  librosa.power_to_db(_lowercase    ,							ref=np.max    ,							top_db=self.top_db					)
     lowercase__    =  (((log_S + self.top_db) * 2_55 / self.top_db).clip(0    ,							2_55					) + 0.5).astype(np.uinta					)
     lowercase__    =  Image.fromarray(_lowercase					)
     return image







  def   UpperCAmelCase     (			self  :List[str]    ,							_lowercase  :Image.Image					):






     '''simple docstring'''





     lowercase__    =  np.frombuffer(image.tobytes()    ,							dtype="uint8"					).reshape((image.height, image.width)					)
     lowercase__    =  bytedata.astype("float"					) * self.top_db / 2_55 - self.top_db
     lowercase__    =  librosa.db_to_power(_lowercase					)
     lowercase__    =  librosa.feature.inverse.mel_to_audio(
         _lowercase    ,							sr=self.sr    ,							n_fft=self.n_fft    ,							hop_length=self.hop_length    ,							n_iter=self.n_iter					)
     return audio













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


_snake_case				= {}

try:
  if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= ["""MBart50Tokenizer"""]

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= ["""MBart50TokenizerFast"""]


if TYPE_CHECKING:
  try:
    if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_mbartaa import MBartaaTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
  import sys

  _snake_case				= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






