


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_  :     Dict							  =							True
							snake_case_  :     Tuple							  =							''''''
except Exception as e:
							snake_case_  :     List[str]							  =							False
							snake_case_  :     Tuple							  =							(
							    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__					):
						UpperCAmelCase     =  "mel_config.json"




						@register_to_config
						def __init__(    self   : List[Any]			,      _a   : int = 256			,      _a   : int = 256			,      _a   : int = 2_2050			,      _a   : int = 2048			,      _a   : int = 512			,      _a   : int = 80			,      _a   : int = 32			,      )							->       Optional[Any]:


										"""simple docstring"""





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

										if not _librosa_can_be_imported:
														raise ValueError(_import_error					)




						def 							__UpperCamelCase			(    self   : List[str]			,      _a   : int			,      _a   : int					)							->       List[str]:


										"""simple docstring"""





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




						def 							__UpperCamelCase			(    self   : List[Any]			,      _a   : str = None			,      _a   : np.ndarray = None					)							->       Tuple:


										"""simple docstring"""





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

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




						def 							__UpperCamelCase			(    self   : List[Any]					)							->       int:


										"""simple docstring"""





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




						def 							__UpperCamelCase			(    self   : Union[str, Any]			,      _a   : int = 0					)							->       np.ndarray:


										"""simple docstring"""





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




						def 							__UpperCamelCase			(    self   : Union[str, Any]					)							->       int:


										"""simple docstring"""





										return self.sr




						def 							__UpperCamelCase			(    self   : Optional[int]			,      _a   : int					)							->       Image.Image:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=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					)
										_SCREAMING_SNAKE_CASE     					=librosa.power_to_db(_a			,      ref=np.max			,      top_db=self.top_db					)
										_SCREAMING_SNAKE_CASE     					=(((log_S + self.top_db) * 255 / self.top_db).clip(0			,      255					) + 0.5).astype(np.uinta					)
										_SCREAMING_SNAKE_CASE     					=Image.fromarray(_a					)
										return image




						def 							__UpperCamelCase			(    self   : Optional[Any]			,      _a   : Image.Image					)							->       np.ndarray:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=np.frombuffer(image.tobytes()			,      dtype='''uint8'''					).reshape((image.height, image.width)					)
										_SCREAMING_SNAKE_CASE     					=bytedata.astype('''float'''					) * self.top_db / 255 - self.top_db
										_SCREAMING_SNAKE_CASE     					=librosa.db_to_power(_a					)
										_SCREAMING_SNAKE_CASE     					=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



import math







def   lowerCamelCase(				a__):
				_SCREAMING_SNAKE_CASE     					=math.log(2		,10) * number
				_SCREAMING_SNAKE_CASE     					=round((log_number - int(a__))		,15)

				return difference







def   lowerCamelCase(				a__ = 67_8910):
				_SCREAMING_SNAKE_CASE     					=90
				_SCREAMING_SNAKE_CASE     					=0

				_SCREAMING_SNAKE_CASE     					=math.log(1.23		,10)
				_SCREAMING_SNAKE_CASE     					=math.log(1.24		,10)
				_SCREAMING_SNAKE_CASE     					=0

				while position < number:
								_SCREAMING_SNAKE_CASE     					=log_difference(a__)

								if difference >= upper_limit:
												power_iterator += 93

								elif difference < lower_limit:
												power_iterator += 196

								else:
												_SCREAMING_SNAKE_CASE     					=power_iterator
												power_iterator += 196
												position += 1

				return previous_power


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							print(f"""{solution() = }""")