






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

 lowerCamelCase			:							List[str]       =True
 lowerCamelCase			:							Dict       =''''''
except Exception as e:
 lowerCamelCase			:							str       =False
 lowerCamelCase			:							List[Any]       =(
     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     __a						(					A__ ,     A__ ):
 _lowerCAmelCase : Optional[Any] 				=				'''mel_config.json'''







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


      '''simple docstring'''






      UpperCamelCase__    :     str        =						hop_length
      UpperCamelCase__    :     Optional[Any]        =						sample_rate
      UpperCamelCase__    :     Dict        =						n_fft
      UpperCamelCase__    :     str        =						top_db
      UpperCamelCase__    :     Optional[Any]        =						n_iter
      self.set_resolution(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE		)
      UpperCamelCase__    :     str        =						None

      if not _librosa_can_be_imported:
           raise ValueError(_import_error		)







 def       __lowercase      (	self      :     Tuple							,     SCREAMING_SNAKE_CASE      :     int							,     SCREAMING_SNAKE_CASE      :     int		):


      '''simple docstring'''






      UpperCamelCase__    :     Dict        =						x_res
      UpperCamelCase__    :     Dict        =						y_res
      UpperCamelCase__    :     Dict        =						self.y_res
      UpperCamelCase__    :     Any        =						self.x_res * self.hop_length - 1







 def       __lowercase      (	self      :     str							,     SCREAMING_SNAKE_CASE      :     str = None							,     SCREAMING_SNAKE_CASE      :     np.ndarray = None		):


      '''simple docstring'''






      if audio_file is not None:
           UpperCamelCase__       ,  UpperCamelCase__    :     int        =						librosa.load(SCREAMING_SNAKE_CASE							,     mono=SCREAMING_SNAKE_CASE							,     sr=self.sr		)
      else:
           UpperCamelCase__    :     List[Any]        =						raw_audio

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







 def       __lowercase      (	self      :     List[Any]		):


      '''simple docstring'''






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







 def       __lowercase      (	self      :     int							,     SCREAMING_SNAKE_CASE      :     int = 0		):


      '''simple docstring'''






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







 def       __lowercase      (	self      :     Tuple		):


      '''simple docstring'''






      return self.sr







 def       __lowercase      (	self      :     Union[str, Any]							,     SCREAMING_SNAKE_CASE      :     int		):


      '''simple docstring'''






      UpperCamelCase__    :     Optional[int]        =						librosa.feature.melspectrogram(
          y=self.get_audio_slice(SCREAMING_SNAKE_CASE		)							,     sr=self.sr							,     n_fft=self.n_fft							,     hop_length=self.hop_length							,     n_mels=self.n_mels		)
      UpperCamelCase__    :     Tuple        =						librosa.power_to_db(SCREAMING_SNAKE_CASE							,     ref=np.max							,     top_db=self.top_db		)
      UpperCamelCase__    :     Optional[Any]        =						(((log_S + self.top_db) * 2_55 / self.top_db).clip(0							,     2_55		) + 0.5).astype(np.uinta		)
      UpperCamelCase__    :     Optional[Any]        =						Image.fromarray(SCREAMING_SNAKE_CASE		)
      return image







 def       __lowercase      (	self      :     List[Any]							,     SCREAMING_SNAKE_CASE      :     Image.Image		):


      '''simple docstring'''






      UpperCamelCase__    :     Optional[Any]        =						np.frombuffer(image.tobytes()							,     dtype="uint8"		).reshape((image.height, image.width)		)
      UpperCamelCase__    :     str        =						bytedata.astype("float"		) * self.top_db / 2_55 - self.top_db
      UpperCamelCase__    :     Any        =						librosa.db_to_power(SCREAMING_SNAKE_CASE		)
      UpperCamelCase__    :     Tuple        =						librosa.feature.inverse.mel_to_audio(
          SCREAMING_SNAKE_CASE							,     sr=self.sr							,     n_fft=self.n_fft							,     hop_length=self.hop_length							,     n_iter=self.n_iter		)
      return audio







from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class     __a						:







 def __init__(	self      :     str							,     SCREAMING_SNAKE_CASE      :     Any		):


      '''simple docstring'''






      UpperCamelCase__    :     Any        =						data
      UpperCamelCase__    :     Node | None        =						None







 def __str__(	self      :     Union[str, Any]		):


      '''simple docstring'''






      return F'{self.data}'







class     __a						:







 def __init__(	self      :     Optional[int]		):


      '''simple docstring'''






      UpperCamelCase__    :     Node | None        =						None
      UpperCamelCase__    :     Node | None        =						None







 def __iter__(	self      :     str		):


      '''simple docstring'''






      UpperCamelCase__    :     int        =						self.front
      while node:
           yield node.data
           UpperCamelCase__    :     Any        =						node.next







 def __len__(	self      :     Tuple		):


      '''simple docstring'''






      return len(tuple(iter(self		)		)		)







 def __str__(	self      :     Union[str, Any]		):


      '''simple docstring'''






      return " <- ".join(str(SCREAMING_SNAKE_CASE		) for item in self		)







 def       __lowercase      (	self      :     List[str]		):


      '''simple docstring'''






      return len(self		) == 0







 def       __lowercase      (	self      :     Union[str, Any]							,     SCREAMING_SNAKE_CASE      :     Any		):


      '''simple docstring'''






      UpperCamelCase__    :     int        =						Node(SCREAMING_SNAKE_CASE		)
      if self.is_empty():
           UpperCamelCase__    :     int        =						node
      else:
           assert isinstance(self.rear							,     SCREAMING_SNAKE_CASE		)
           UpperCamelCase__    :     Dict        =						node
           UpperCamelCase__    :     str        =						node







 def       __lowercase      (	self      :     Dict		):


      '''simple docstring'''






      if self.is_empty():
           raise IndexError("dequeue from empty queue"		)
      assert isinstance(self.front							,     SCREAMING_SNAKE_CASE		)
      UpperCamelCase__    :     Optional[int]        =						self.front
      UpperCamelCase__    :     List[str]        =						self.front.next
      if self.front is None:
           UpperCamelCase__    :     List[Any]        =						None
      return node.data







 def       __lowercase      (	self      :     str		):


      '''simple docstring'''






      UpperCamelCase__    :     Optional[int]        =						None


if __name__ == "__main__":
 from doctest import testmod

 testmod()