code: 
  
  
  
  
  
  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 							_A (    UpperCamelCase				,				UpperCamelCase							):
      """simple docstring"""
  
      lowerCamelCase  :       List[str]   =   'mel_config.json'
  
  
  
      @register_to_config
      def __init__(							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    int = 256   ,    __SCREAMING_SNAKE_CASE			:    int = 256   ,    __SCREAMING_SNAKE_CASE			:    int = 22050   ,    __SCREAMING_SNAKE_CASE			:    int = 2048   ,    __SCREAMING_SNAKE_CASE			:    int = 512   ,    __SCREAMING_SNAKE_CASE			:    int = 80   ,    __SCREAMING_SNAKE_CASE			:    int = 32   ,    )			->       Dict:
             __UpperCAmelCase    							=hop_length
             __UpperCAmelCase    							=sample_rate
             __UpperCAmelCase    							=n_fft
             __UpperCAmelCase    							=top_db
             __UpperCAmelCase    							=n_iter
             self.set_resolution(__SCREAMING_SNAKE_CASE   ,    __SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=None
  
             if not _librosa_can_be_imported:
                    raise ValueError(_import_error			)
  
  
  
      def _a       (							self			:    Optional[int]   ,    __SCREAMING_SNAKE_CASE			:    int   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       Any:
             __UpperCAmelCase    							=x_res
             __UpperCAmelCase    							=y_res
             __UpperCAmelCase    							=self.y_res
             __UpperCAmelCase    							=self.x_res * self.hop_length - 1
  
  
  
      def _a       (							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    str = None   ,    __SCREAMING_SNAKE_CASE			:    np.ndarray = None			)			->       Dict:
             if audio_file is not None:
                    __UpperCAmelCase							,   __UpperCAmelCase    							=librosa.load(__SCREAMING_SNAKE_CASE   ,    mono=__SCREAMING_SNAKE_CASE   ,    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			:    str			)			->       int:
             return len(self.audio			) // self.slice_size
  
  
  
      def _a       (							self			:    Optional[int]   ,    __SCREAMING_SNAKE_CASE			:    int = 0			)			->       np.ndarray:
             return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
  
  
  
      def _a       (							self			:    Optional[int]			)			->       int:
             return self.sr
  
  
  
      def _a       (							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       Image.Image:
             __UpperCAmelCase    							=librosa.feature.melspectrogram(
                 y=self.get_audio_slice(__SCREAMING_SNAKE_CASE			)   ,    sr=self.sr   ,    n_fft=self.n_fft   ,    hop_length=self.hop_length   ,    n_mels=self.n_mels			)
             __UpperCAmelCase    							=librosa.power_to_db(__SCREAMING_SNAKE_CASE   ,    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(__SCREAMING_SNAKE_CASE			)
             return image
  
  
  
      def _a       (							self			:    Any   ,    __SCREAMING_SNAKE_CASE			:    Image.Image			)			->       np.ndarray:
             __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(__SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=librosa.feature.inverse.mel_to_audio(
                 __SCREAMING_SNAKE_CASE   ,    sr=self.sr   ,    n_fft=self.n_fft   ,    hop_length=self.hop_length   ,    n_iter=self.n_iter			)
             return audio
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from collections import namedtuple
  
  __A  							=  namedtuple("from_to", "from_ to")
  
  __A  							=  {
      "millimeter": "mm",
      "centimeter": "cm",
      "meter": "m",
      "kilometer": "km",
      "inch": "in",
      "inche": "in",  # Trailing 's' has been stripped off
      "feet": "ft",
      "foot": "ft",
      "yard": "yd",
      "mile": "mi",
  }
  
  __A  							=  {
      "mm": from_to(0.001, 10_00),
      "cm": from_to(0.01, 1_00),
      "m": from_to(1, 1),
      "km": from_to(10_00, 0.001),
      "in": from_to(0.0254, 39.3701),
      "ft": from_to(0.3048, 3.2_8084),
      "yd": from_to(0.9144, 1.0_9361),
      "mi": from_to(1609.34, 0.0_0062_1371),
  }
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	float     ,			A_:	str     ,			A_:	str		)  ->							float:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         __UpperCAmelCase    							=from_type.lower().rstrip("""s"""		)
         __UpperCAmelCase    							=TYPE_CONVERSION.get(A_     ,			A_		)
         __UpperCAmelCase    							=to_type.lower().rstrip("""s"""		)
         __UpperCAmelCase    							=TYPE_CONVERSION.get(A_     ,			A_		)
         if new_from not in METRIC_CONVERSION:
                __UpperCAmelCase    							=(
                    F'''Invalid \'from_type\' value: {from_type!r}.\n'''
                    F'''Conversion abbreviations are: {", ".join(A_		)}'''
                )
                raise ValueError(A_		)
         if new_to not in METRIC_CONVERSION:
                __UpperCAmelCase    							=(
                    F'''Invalid \'to_type\' value: {to_type!r}.\n'''
                    F'''Conversion abbreviations are: {", ".join(A_		)}'''
                )
                raise ValueError(A_		)
         return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to
  
  
  if __name__ == "__main__":
     import doctest
  
     doctest.testmod()
  
  
  
  
  