






"""simple docstring"""



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       :      Union[str, Any]       =					True
      _snake_case       :      List[str]       =					""""""
except Exception as e:
      _snake_case       :      int       =					False
      _snake_case       :      str       =					(
          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        __lowercase(       UpperCAmelCase__						,							UpperCAmelCase__  ):
      lowerCAmelCase_		:							List[str]=       'mel_config.json'






      @register_to_config
      def __init__(					self    ,						_SCREAMING_SNAKE_CASE = 2_56    ,						_SCREAMING_SNAKE_CASE = 2_56    ,						_SCREAMING_SNAKE_CASE = 2_20_50    ,						_SCREAMING_SNAKE_CASE = 20_48    ,						_SCREAMING_SNAKE_CASE = 5_12    ,						_SCREAMING_SNAKE_CASE = 80    ,						_SCREAMING_SNAKE_CASE = 32    ,						)			->  List[Any]:




           """simple docstring"""





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

           if not _librosa_can_be_imported:
                raise ValueError(_import_error)






      def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE)			->  List[Any]:




           """simple docstring"""





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






      def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE = None    ,						_SCREAMING_SNAKE_CASE = None)			->  Any:




           """simple docstring"""





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

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






      def 		lowerCAmelCase   (					self)			->  str:




           """simple docstring"""





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






      def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE = 0)			->  Any:




           """simple docstring"""





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






      def 		lowerCAmelCase   (					self)			->  Optional[Any]:




           """simple docstring"""





           return self.sr






      def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE)			->  Dict:




           """simple docstring"""





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






      def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE)			->  Optional[Any]:




           """simple docstring"""





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







"""simple docstring"""



from doctest import testmod
from math import sqrt




def 						lowerCamelCase_				(  __A  :		int			):
					lowerCamelCase__				=[]
					if num < 1:
										return facs
					facs.append(1			)
					if num == 1:
										return facs
					facs.append(__A			)
					for i in range(2			,	int(sqrt(__A			)			) + 1			):
										if num % i == 0:  # If i is a factor of num
															facs.append(__A			)
															lowerCamelCase__				=num // i  # num//i is the other factor of num
															if d != i:  # If d and i are distinct
																				facs.append(__A			)  # we have found another factor
					facs.sort()
					return facs


if __name__ == "__main__":
						testmod(name="factors_of_a_number", verbose=True)