


'''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

     lowerCAmelCase__  =     True
     lowerCAmelCase__  =     ''
except Exception as e:
     lowerCAmelCase__  =     False
     lowerCAmelCase__  =     (
         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						(						UpperCamelCase    ,  UpperCamelCase							):



   '''simple docstring'''






   _lowercase    						= 'mel_config.json'




   @register_to_config
   def __init__(	self	:					List[Any]					, lowerCamelCase	:					int = 256					, lowerCamelCase	:					int = 256					, lowerCamelCase	:					int = 22_050					, lowerCamelCase	:					int = 2_048					, lowerCamelCase	:					int = 512					, lowerCamelCase	:					int = 80					, lowerCamelCase	:					int = 32					, )->	Any:
          snake_case__					:	Optional[int]          =					hop_length
          snake_case__					:	str          =					sample_rate
          snake_case__					:	str          =					n_fft
          snake_case__					:	Tuple          =					top_db
          snake_case__					:	Any          =					n_iter
          self.set_resolution(lowerCamelCase					, lowerCamelCase						)
          snake_case__					:	str          =					None

          if not _librosa_can_be_imported:
                 raise ValueError(_import_error						)




   def   __lowerCAmelCase						(	self	:					Dict					, lowerCamelCase	:					int					, lowerCamelCase	:					int						)->	int:
          snake_case__					:	str          =					x_res
          snake_case__					:	Optional[int]          =					y_res
          snake_case__					:	Any          =					self.y_res
          snake_case__					:	List[Any]          =					self.x_res * self.hop_length - 1




   def   __lowerCAmelCase						(	self	:					Union[str, Any]					, lowerCamelCase	:					str = None					, lowerCamelCase	:					np.ndarray = None						)->	Optional[Any]:
          if audio_file is not None:
                 snake_case__       ,   snake_case__					:	int          =					librosa.load(lowerCamelCase					, mono=lowerCamelCase					, sr=self.sr						)
          else:
                 snake_case__					:	Optional[Any]          =					raw_audio

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




   def   __lowerCAmelCase						(	self	:					Optional[Any]						)->	int:
          return len(self.audio						) // self.slice_size




   def   __lowerCAmelCase						(	self	:					Union[str, Any]					, lowerCamelCase	:					int = 0						)->	np.ndarray:
          return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]




   def   __lowerCAmelCase						(	self	:					str						)->	int:
          return self.sr




   def   __lowerCAmelCase						(	self	:					Tuple					, lowerCamelCase	:					int						)->	Image.Image:
          snake_case__					:	int          =					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						)
          snake_case__					:	Union[str, Any]          =					librosa.power_to_db(lowerCamelCase					, ref=np.max					, top_db=self.top_db						)
          snake_case__					:	Tuple          =					(((log_S + self.top_db) * 255 / self.top_db).clip(0					, 255						) + 0.5).astype(np.uinta						)
          snake_case__					:	Dict          =					Image.fromarray(lowerCamelCase						)
          return image




   def   __lowerCAmelCase						(	self	:					Dict					, lowerCamelCase	:					Image.Image						)->	np.ndarray:
          snake_case__					:	int          =					np.frombuffer(image.tobytes()					, dtype="""uint8"""						).reshape((image.height, image.width)						)
          snake_case__					:	Union[str, Any]          =					bytedata.astype("""float"""						) * self.top_db / 255 - self.top_db
          snake_case__					:	List[str]          =					librosa.db_to_power(lowerCamelCase						)
          snake_case__					:	Any          =					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'''
import unittest
from timeit import timeit



def 				lowerCAmelCase__	(       UpperCAmelCase    ,       UpperCAmelCase     ):






       """simple docstring"""





       snake_case__					:	Any          =					first_num if first_num >= second_num else second_num
       snake_case__					:	Optional[Any]          =					max_num
       while (common_mult % first_num > 0) or (common_mult % second_num > 0):
              common_mult += max_num
       return common_mult



def 				lowerCAmelCase__	(       UpperCAmelCase    ,       UpperCAmelCase     ):






       """simple docstring"""





       return b if a == 0 else greatest_common_divisor(b % a    ,       UpperCAmelCase     )



def 				lowerCAmelCase__	(       UpperCAmelCase    ,       UpperCAmelCase     ):






       """simple docstring"""





       return first_num // greatest_common_divisor(UpperCAmelCase    ,       UpperCAmelCase     ) * second_num



def 				lowerCAmelCase__	(       ):






       """simple docstring"""





       snake_case__					:	Tuple          =					(
           """from __main__ import least_common_multiple_slow, least_common_multiple_fast"""
       )
       print(
           """least_common_multiple_slow():"""    ,       timeit("""least_common_multiple_slow(1000, 999)"""    ,       setup=UpperCAmelCase     )    ,       )
       print(
           """least_common_multiple_fast():"""    ,       timeit("""least_common_multiple_fast(1000, 999)"""    ,       setup=UpperCAmelCase     )    ,       )







class 					_A						(						unittest.TestCase							):



   '''simple docstring'''






   _lowercase    						= (
       (10, 20),
       (13, 15),
       (4, 31),
       (10, 42),
       (43, 34),
       (5, 12),
       (12, 25),
       (10, 25),
       (6, 9),
   )
   _lowercase    						= (20, 195, 124, 210, 1462, 60, 300, 50, 18)




   def   __lowerCAmelCase						(	self	:					Optional[int]						)->	Optional[Any]:
          for i, (first_num, second_num) in enumerate(self.test_inputs						):
                 snake_case__					:	List[Any]          =					least_common_multiple_slow(lowerCamelCase					, lowerCamelCase						)
                 snake_case__					:	Optional[Any]          =					least_common_multiple_fast(lowerCamelCase					, lowerCamelCase						)
                 with self.subTest(i=lowerCamelCase						):
                        self.assertEqual(lowerCamelCase					, self.expected_results[i]						)
                        self.assertEqual(lowerCamelCase					, self.expected_results[i]						)


if __name__ == "__main__":
     benchmark()
     unittest.main()




