


'''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   :Any								=    True
							lowerCAmelCase   :Tuple								=    ''''''
except Exception as e:
							lowerCAmelCase   :Tuple								=    False
							lowerCAmelCase   :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 _lowerCamelCase (		lowercase__	,  lowercase__							):



		'''simple docstring'''







		A_			:    str   					=       """mel_config.json"""







		@register_to_config
		def __init__(      self	:		Union[str, Any]						,  _A	:		int = 256						,  _A	:		int = 256						,  _A	:		int = 22050						,  _A	:		int = 2048						,  _A	:		int = 512						,  _A	:		int = 80						,  _A	:		int = 32						,  )						->				Any:
			__magic_name__ :					Optional[int]  			=  hop_length
			__magic_name__ :					List[Any]  			=  sample_rate
			__magic_name__ :					Optional[Any]  			=  n_fft
			__magic_name__ :					Dict  			=  top_db
			__magic_name__ :					List[str]  			=  n_iter
			self.set_resolution(_A						,  _A    )
			__magic_name__ :					Tuple  			=  None

			if not _librosa_can_be_imported:
				raise ValueError(_import_error    )







		def      __lowerCAmelCase	(      self	:		Optional[Any]						,  _A	:		int						,  _A	:		int    )						->				Tuple:
			__magic_name__ :					Dict  			=  x_res
			__magic_name__ :					int  			=  y_res
			__magic_name__ :					Tuple  			=  self.y_res
			__magic_name__ :					Dict  			=  self.x_res * self.hop_length - 1







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

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







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







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







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







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







		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		Image.Image    )						->				np.ndarray:
			__magic_name__ :					List[str]  			=  np.frombuffer(image.tobytes()						,  dtype='uint8'    ).reshape((image.height, image.width)    )
			__magic_name__ :					Optional[Any]  			=  bytedata.astype('float'    ) * self.top_db / 255 - self.top_db
			__magic_name__ :					Optional[int]  			=  librosa.db_to_power(_A    )
			__magic_name__ :					Union[str, Any]  			=  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



'''simple docstring'''

import math





def lowerCamelCase    (    lowerCAmelCase       :			int	):





	"""simple docstring"""







	if not isinstance(lowerCAmelCase	,	lowerCAmelCase	):
		__magic_name__ :					str  			=  f'Input value of [number={number}] must be an integer'
		raise TypeError(lowerCAmelCase	)
	if number < 1:
		__magic_name__ :					Tuple  			=  f'Input value of [number={number}] must be a positive integer'
		raise ValueError(lowerCAmelCase	)
	__magic_name__ :					Tuple  			=  [number]
	while number != 1:
		if number % 2 == 0:
			__magic_name__ :					Optional[int]  			=  math.floor(math.sqrt(lowerCAmelCase	)	)
		else:
			__magic_name__ :					Union[str, Any]  			=  math.floor(
			    math.sqrt(lowerCAmelCase	) * math.sqrt(lowerCAmelCase	) * math.sqrt(lowerCAmelCase	)	)
		sequence.append(lowerCAmelCase	)
	return sequence


if __name__ == "__main__":
							import doctest

							doctest.testmod()