

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

				_a:      Optional[Any]								=     True
				_a:      Optional[Any]								=     """"""
except Exception as e:
				_a:      Dict								=     False
				_a:      int								=     (
				    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   __UpperCamelCase      (   lowercase       ,       lowercase  ):
	SCREAMING_SNAKE_CASE__      			=       'mel_config.json'




	@register_to_config
	def __init__(						self		:  Any						,		lowerCAmelCase		:  int = 256						,		lowerCAmelCase		:  int = 256						,		lowerCAmelCase		:  int = 22_050						,		lowerCAmelCase		:  int = 2_048						,		lowerCAmelCase		:  int = 512						,		lowerCAmelCase		:  int = 80						,		lowerCAmelCase		:  int = 32						,		):


		'''simple docstring'''







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

		if not _librosa_can_be_imported:
			raise ValueError(_import_error							)




	def  __A   (						self		:  Tuple						,		lowerCAmelCase		:  int						,		lowerCAmelCase		:  int							):


		'''simple docstring'''







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




	def  __A   (						self		:  Union[str, Any]						,		lowerCAmelCase		:  str = None						,		lowerCAmelCase		:  np.ndarray = None							):


		'''simple docstring'''







		if audio_file is not None:
			UpperCAmelCase_			,				UpperCAmelCase_    			=     librosa.load(lowerCAmelCase						,		mono=lowerCAmelCase						,		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  __A   (						self		:  List[Any]							):


		'''simple docstring'''







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




	def  __A   (						self		:  Tuple						,		lowerCAmelCase		:  int = 0							):


		'''simple docstring'''







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




	def  __A   (						self		:  str							):


		'''simple docstring'''







		return self.sr




	def  __A   (						self		:  Union[str, Any]						,		lowerCAmelCase		:  int							):


		'''simple docstring'''







		UpperCAmelCase_    			=     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							)
		UpperCAmelCase_    			=     librosa.power_to_db(lowerCAmelCase						,		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(lowerCAmelCase							)
		return image




	def  __A   (						self		:  int						,		lowerCAmelCase		:  Image.Image							):


		'''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(lowerCAmelCase							)
		UpperCAmelCase_    			=     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


def  __lowerCAmelCase (  A      ):
	UpperCAmelCase_    			=     len(A      )

	# Set the gap value to be decreased by a factor of 1.3
	# after each iteration
	UpperCAmelCase_    			=     1.3

	# Continue sorting until the gap is 1
	while gap > 1:
		# Decrease the gap value
		UpperCAmelCase_    			=     int(gap / shrink      )

		# Sort the elements using insertion sort
		for i in range(A    ,       len(A      )      ):
			UpperCAmelCase_    			=     collection[i]
			UpperCAmelCase_    			=     i
			while j >= gap and collection[j - gap] > temp:
				UpperCAmelCase_    			=     collection[j - gap]
				j -= gap
			UpperCAmelCase_    			=     temp

	return collection


if __name__ == "__main__":
				import doctest

				doctest.testmod()