

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

 _UpperCamelCase     =    True
 _UpperCamelCase     =    ''''''
except Exception as e:
 _UpperCamelCase     =    False
 _UpperCamelCase     =    (
     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      ):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE      							=       """mel_config.json"""




 @register_to_config
 def __init__(self , __a = 256 , __a = 256 , __a = 22050 , __a = 2048 , __a = 512 , __a = 80 , __a = 32 , )				->      str:






  """simple docstring"""





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

  if not _librosa_can_be_imported:
   raise ValueError(_import_error				)




 def 						UpperCamelCase__							(self , __a , __a				)				->      Tuple:






  """simple docstring"""





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




 def 						UpperCamelCase__							(self , __a = None , __a = None				)				->      int:






  """simple docstring"""





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

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




 def 						UpperCamelCase__							(self				)				->      int:






  """simple docstring"""





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




 def 						UpperCamelCase__							(self , __a = 0				)				->      np.ndarray:






  """simple docstring"""





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




 def 						UpperCamelCase__							(self				)				->      int:






  """simple docstring"""





  return self.sr




 def 						UpperCamelCase__							(self , __a				)				->      Image.Image:






  """simple docstring"""





  UpperCAmelCase__           =       librosa.feature.melspectrogram(
      y=self.get_audio_slice(__a				) , sr=self.sr , n_fft=self.n_fft , hop_length=self.hop_length , n_mels=self.n_mels				)
  UpperCAmelCase__           =       librosa.power_to_db(__a , ref=np.max , top_db=self.top_db				)
  UpperCAmelCase__           =       (((log_S + self.top_db) * 255 / self.top_db).clip(0 , 255				) + 0.5).astype(np.uinta				)
  UpperCAmelCase__           =       Image.fromarray(__a				)
  return image




 def 						UpperCamelCase__							(self , __a				)				->      np.ndarray:






  """simple docstring"""





  UpperCAmelCase__           =       np.frombuffer(image.tobytes() , dtype='uint8'				).reshape((image.height, image.width)				)
  UpperCAmelCase__           =       bytedata.astype('float'				) * self.top_db / 255 - self.top_db
  UpperCAmelCase__           =       librosa.db_to_power(__a				)
  UpperCAmelCase__           =       librosa.feature.inverse.mel_to_audio(
      __a , sr=self.sr , n_fft=self.n_fft , hop_length=self.hop_length , n_iter=self.n_iter				)
  return audio






def 		UpperCamelCase_(    snake_case__:						int     ) ->				int:
 if not isinstance(snake_case__						,					snake_case__     ):
  UpperCAmelCase__           =       f"Input value of [number={number}] must be an integer"
  raise TypeError(snake_case__     )
 if number < 1:
  raise ValueError('Input must be a positive integer'     )
 return number * (2 * number - 1)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



