'''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=	True
  a=	''''''
except Exception as e:
  a=	False
  a=	(
      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       __lowercase		(    _lowerCamelCase      ,				_lowerCamelCase    ):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		 =    '''mel_config.json'''







     @register_to_config
     def __init__(		self  ,      _lowerCamelCase = 2_5_6  ,      _lowerCamelCase = 2_5_6  ,      _lowerCamelCase = 2_2_0_5_0  ,      _lowerCamelCase = 2_0_4_8  ,      _lowerCamelCase = 5_1_2  ,      _lowerCamelCase = 8_0  ,      _lowerCamelCase = 3_2  ,      ):
         __UpperCamelCase						:						Optional[Any]		     =	hop_length
         __UpperCamelCase						:						Optional[Any]		     =	sample_rate
         __UpperCamelCase						:						List[Any]		     =	n_fft
         __UpperCamelCase						:						Optional[Any]		     =	top_db
         __UpperCamelCase						:						List[str]		     =	n_iter
         self.set_resolution(_lowerCamelCase  ,      _lowerCamelCase     )
         __UpperCamelCase						:						Dict		     =	None

         if not _librosa_can_be_imported:
             raise ValueError(_import_error     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Union[str, Any]		     =	x_res
         __UpperCamelCase						:						Optional[Any]		     =	y_res
         __UpperCamelCase						:						Union[str, Any]		     =	self.y_res
         __UpperCamelCase						:						str		     =	self.x_res * self.hop_length - 1







     def lowerCAmelCase  (		self  ,      _lowerCamelCase = None  ,      _lowerCamelCase = None     ):
         if audio_file is not None:
             __UpperCamelCase     ,       __UpperCamelCase						:						Optional[int]		     =	librosa.load(_lowerCamelCase  ,      mono=_lowerCamelCase  ,      sr=self.sr     )
         else:
             __UpperCamelCase						:						Tuple		     =	raw_audio

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







     def lowerCAmelCase  (		self     ):
         return len(self.audio     ) // self.slice_size







     def lowerCAmelCase  (		self  ,      _lowerCamelCase = 0     ):
         return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]







     def lowerCAmelCase  (		self     ):
         return self.sr







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Union[str, Any]		     =	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						:						Any		     =	librosa.power_to_db(_lowerCamelCase  ,      ref=np.max  ,      top_db=self.top_db     )
         __UpperCamelCase						:						Any		     =	(((log_S + self.top_db) * 2_5_5 / self.top_db).clip(0  ,      2_5_5     ) + 0.5).astype(np.uinta     )
         __UpperCamelCase						:						Union[str, Any]		     =	Image.fromarray(_lowerCamelCase     )
         return image







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Dict		     =	np.frombuffer(image.tobytes()  ,      dtype='uint8'     ).reshape((image.height, image.width)     )
         __UpperCamelCase						:						Dict		     =	bytedata.astype('float'     ) * self.top_db / 2_5_5 - self.top_db
         __UpperCamelCase						:						Optional[int]		     =	librosa.db_to_power(_lowerCamelCase     )
         __UpperCamelCase						:						str		     =	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'''
from .prime_check import Test

Test()



