






"""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

			a :				Optional[int]      					=		True
			a :				List[str]      					=		""""""
except Exception as e:
			a :				Any      					=		False
			a :				Optional[Any]      					=		(
			    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(   SCREAMING_SNAKE_CASE__  ,  SCREAMING_SNAKE_CASE__							):




						"""simple docstring"""




						__lowerCamelCase				       =					"mel_config.json"




						@register_to_config
						def __init__(   self       ,  snake_case__ = 256       ,  snake_case__ = 256       ,  snake_case__ = 22050       ,  snake_case__ = 2048       ,  snake_case__ = 512       ,  snake_case__ = 80       ,  snake_case__ = 32       ,  ):
												'''simple docstring'''
												lowercase__				:      Optional[int]=       hop_length
												lowercase__				:      Dict=       sample_rate
												lowercase__				:      Tuple=       n_fft
												lowercase__				:      str=       top_db
												lowercase__				:      List[Any]=       n_iter
												self.set_resolution(snake_case__       ,  snake_case__			)
												lowercase__				:      int=       None

												if not _librosa_can_be_imported:
																		raise ValueError(_import_error			)




						def 		UpperCAmelCase_       (   self       ,  snake_case__       ,  snake_case__			):
												'''simple docstring'''
												lowercase__				:      Dict=       x_res
												lowercase__				:      List[str]=       y_res
												lowercase__				:      Optional[int]=       self.y_res
												lowercase__				:      List[str]=       self.x_res * self.hop_length - 1




						def 		UpperCAmelCase_       (   self       ,  snake_case__ = None       ,  snake_case__ = None			):
												'''simple docstring'''
												if audio_file is not None:
																		lowercase__,	lowercase__				:      Optional[Any]=       librosa.load(snake_case__       ,  mono=snake_case__       ,  sr=self.sr			)
												else:
																		lowercase__				:      Optional[int]=       raw_audio

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




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												return len(self.audio			) // self.slice_size




						def 		UpperCAmelCase_       (   self       ,  snake_case__ = 0			):
												'''simple docstring'''
												return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												return self.sr




						def 		UpperCAmelCase_       (   self       ,  snake_case__			):
												'''simple docstring'''
												lowercase__				:      Union[str, Any]=       librosa.feature.melspectrogram(
												    y=self.get_audio_slice(snake_case__			)       ,  sr=self.sr       ,  n_fft=self.n_fft       ,  hop_length=self.hop_length       ,  n_mels=self.n_mels			)
												lowercase__				:      Dict=       librosa.power_to_db(snake_case__       ,  ref=np.max       ,  top_db=self.top_db			)
												lowercase__				:      Optional[int]=       (((log_S + self.top_db) * 255 / self.top_db).clip(0       ,  255			) + 0.5).astype(np.uinta			)
												lowercase__				:      Any=       Image.fromarray(snake_case__			)
												return image




						def 		UpperCAmelCase_       (   self       ,  snake_case__			):
												'''simple docstring'''
												lowercase__				:      Dict=       np.frombuffer(image.tobytes()       ,  dtype="uint8"			).reshape((image.height, image.width)			)
												lowercase__				:      Dict=       bytedata.astype("float"			) * self.top_db / 255 - self.top_db
												lowercase__				:      Optional[int]=       librosa.db_to_power(snake_case__			)
												lowercase__				:      Optional[Any]=       librosa.feature.inverse.mel_to_audio(
												    snake_case__       ,  sr=self.sr       ,  n_fft=self.n_fft       ,  hop_length=self.hop_length       ,  n_iter=self.n_iter			)
												return audio














"""simple docstring"""







import importlib.metadata
import subprocess
import sys





def 						lowercase__(A = False						)				->List[str]:




						"""simple docstring"""



						lowercase__				:      Any=       False
						if "IPython" in sys.modules:
												lowercase__				:      Tuple=       "google.colab" in str(sys.modules["IPython"].get_ipython()						)

						if in_colab:
												if upgrade:
																		lowercase__				:      Optional[int]=       ["pip", "install", "-U", "torch"]
																		subprocess.run(A					,		check=A						)
												# get the current version of torch
												lowercase__				:      Tuple=       importlib.metadata.version("torch"						)
												lowercase__				:      Dict=       torch_version[: torch_version.rindex("."						)]
												lowercase__				:      Dict=       f'''https://storage.googleapis.com/tpu-pytorch/wheels/colab/torch_xla-{torch_version_trunc}-cp37-cp37m-linux_x86_64.whl'''
												lowercase__				:      Union[str, Any]=       ["pip", "install", xla_wheel]
												subprocess.run(A					,		check=A						)
						else:
												raise RuntimeError("`install_xla` utility works only on google colab."						)






