





"""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

						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 				_a		(   _lowerCAmelCase			,       _lowerCAmelCase       ):
				UpperCamelCase			=					'''mel_config.json'''






				@register_to_config
				def __init__(				self	:					Tuple,				lowerCAmelCase__	:					int = 2_5_6,				lowerCAmelCase__	:					int = 2_5_6,				lowerCAmelCase__	:					int = 2_2_0_5_0,				lowerCAmelCase__	:					int = 2_0_4_8,				lowerCAmelCase__	:					int = 5_1_2,				lowerCAmelCase__	:					int = 8_0,				lowerCAmelCase__	:					int = 3_2,				)			->   Optional[Any]:




										'''simple docstring'''



										_UpperCamelCase    :      Dict						     =					hop_length
										_UpperCamelCase    :      int						     =					sample_rate
										_UpperCamelCase    :      Tuple						     =					n_fft
										_UpperCamelCase    :      Dict						     =					top_db
										_UpperCamelCase    :      List[Any]						     =					n_iter
										self.set_resolution(lowerCAmelCase__,				lowerCAmelCase__							)
										_UpperCamelCase    :      Optional[Any]						     =					None

										if not _librosa_can_be_imported:
																raise ValueError(_import_error							)






				def        snake_case			(				self	:					Optional[int],				lowerCAmelCase__	:					int,				lowerCAmelCase__	:					int							)			->   Any:




										'''simple docstring'''



										_UpperCamelCase    :      List[Any]						     =					x_res
										_UpperCamelCase    :      List[str]						     =					y_res
										_UpperCamelCase    :      Any						     =					self.y_res
										_UpperCamelCase    :      List[Any]						     =					self.x_res * self.hop_length - 1






				def        snake_case			(				self	:					List[Any],				lowerCAmelCase__	:					str = None,				lowerCAmelCase__	:					np.ndarray = None							)			->   str:




										'''simple docstring'''



										if audio_file is not None:
																_UpperCamelCase     ,							_UpperCamelCase    :      Optional[int]						     =					librosa.load(lowerCAmelCase__,				mono=lowerCAmelCase__,				sr=self.sr							)
										else:
																_UpperCamelCase    :      Any						     =					raw_audio

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






				def        snake_case			(				self	:					Optional[Any]							)			->   int:




										'''simple docstring'''



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






				def        snake_case			(				self	:					Optional[Any],				lowerCAmelCase__	:					int = 0							)			->   np.ndarray:




										'''simple docstring'''



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






				def        snake_case			(				self	:					Any							)			->   int:




										'''simple docstring'''



										return self.sr






				def        snake_case			(				self	:					Union[str, Any],				lowerCAmelCase__	:					int							)			->   Image.Image:




										'''simple docstring'''



										_UpperCamelCase    :      List[str]						     =					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    :      Tuple						     =					librosa.power_to_db(lowerCAmelCase__,				ref=np.max,				top_db=self.top_db							)
										_UpperCamelCase    :      List[Any]						     =					(((log_S + self.top_db) * 2_5_5 / self.top_db).clip(0,				2_5_5							) + 0.5).astype(np.uinta							)
										_UpperCamelCase    :      str						     =					Image.fromarray(lowerCAmelCase__							)
										return image






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




										'''simple docstring'''



										_UpperCamelCase    :      Union[str, Any]						     =					np.frombuffer(image.tobytes(),				dtype='''uint8'''							).reshape((image.height, image.width)							)
										_UpperCamelCase    :      List[str]						     =					bytedata.astype('''float'''							) * self.top_db / 2_5_5 - self.top_db
										_UpperCamelCase    :      List[str]						     =					librosa.db_to_power(lowerCAmelCase__							)
										_UpperCamelCase    :      Optional[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"""




def  a_       (							_lowercase     ):
						if len(_lowercase     ) > 1:
												_UpperCamelCase    :      List[str]						     =					len(_lowercase     ) // 2  # Finds the middle of the array
												_UpperCamelCase    :      Dict						     =					arr[
												    :middle_length
												]  # Creates an array of the elements in the first half.
												_UpperCamelCase    :      Union[str, Any]						     =					arr[
												    middle_length:
												]  # Creates an array of the elements in the second half.
												_UpperCamelCase    :      str						     =					len(_lowercase     )
												_UpperCamelCase    :      List[str]						     =					len(_lowercase     )
												merge(_lowercase     )  # Starts sorting the left.
												merge(_lowercase     )  # Starts sorting the right
												_UpperCamelCase    :      Dict						     =					0  # Left Counter
												_UpperCamelCase    :      Union[str, Any]						     =					0  # Right Counter
												_UpperCamelCase    :      Optional[int]						     =					0  # Position Counter
												while (
												    left_index < left_size and right_index < right_size
												):  # Runs until the lowers size of the left and right are sorted.
																		if left_array[left_index] < right_array[right_index]:
																								_UpperCamelCase    :      Dict						     =					left_array[left_index]
																								left_index += 1
																		else:
																								_UpperCamelCase    :      Tuple						     =					right_array[right_index]
																								right_index += 1
																		index += 1
												while (
												    left_index < left_size
												):  # Adds the left over elements in the left half of the array
																		_UpperCamelCase    :      int						     =					left_array[left_index]
																		left_index += 1
																		index += 1
												while (
												    right_index < right_size
												):  # Adds the left over elements in the right half of the array
																		_UpperCamelCase    :      Any						     =					right_array[right_index]
																		right_index += 1
																		index += 1
						return arr


if __name__ == "__main__":
						import doctest

						doctest.testmod()



