


"""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

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







    """simple docstring"""




    UpperCAmelCase			:				Union[str, Any]      =			"""mel_config.json"""






    @register_to_config
    def __init__(   self							:       Dict							,					__UpperCAmelCase							:       Optional[int] = 256							,					__UpperCAmelCase							:       List[str] = 256							,					__UpperCAmelCase							:       Dict = 22050							,					__UpperCAmelCase							:       int = 2048							,					__UpperCAmelCase							:       List[str] = 512							,					__UpperCAmelCase							:       List[str] = 80							,					__UpperCAmelCase							:       Optional[int] = 32							,					):
      a		:						Any 				=     hop_length
      a		:						List[Any] 				=     sample_rate
      a		:						Union[str, Any] 				=     n_fft
      a		:						Optional[int] 				=     top_db
      a		:						Optional[Any] 				=     n_iter
      self.set_resolution(UpperCamelCase__							,					UpperCamelCase__)
      a		:						str 				=     None

      if not _librosa_can_be_imported:
        raise ValueError(_import_error)






    def       __snake_case				(   self							:       List[str]							,					__UpperCAmelCase							:       Any							,					__UpperCAmelCase							:       Union[str, Any]):
      a		:						int 				=     x_res
      a		:						List[Any] 				=     y_res
      a		:						List[str] 				=     self.y_res
      a		:						int 				=     self.x_res * self.hop_length - 1






    def       __snake_case				(   self							:       Optional[int]							,					__UpperCAmelCase							:       Dict = None							,					__UpperCAmelCase							:       Any = None):
      if audio_file is not None:
        a		:						Union[str, Any] 				=     librosa.load(UpperCamelCase__							,					mono=UpperCamelCase__							,					sr=self.sr)
      else:
        a		:						Tuple 				=     raw_audio

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






    def       __snake_case				(   self							:       str):
      return len(self.audio) // self.slice_size






    def       __snake_case				(   self							:       Optional[int]							,					__UpperCAmelCase							:       Optional[int] = 0):
      return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]






    def       __snake_case				(   self							:       Optional[Any]):
      return self.sr






    def       __snake_case				(   self							:       int							,					__UpperCAmelCase							:       Optional[int]):
      a		:						Optional[Any] 				=     librosa.feature.melspectrogram(
          y=self.get_audio_slice(UpperCamelCase__)							,					sr=self.sr							,					n_fft=self.n_fft							,					hop_length=self.hop_length							,					n_mels=self.n_mels)
      a		:						str 				=     librosa.power_to_db(UpperCamelCase__							,					ref=np.max							,					top_db=self.top_db)
      a		:						str 				=     (((log_S + self.top_db) * 255 / self.top_db).clip(0							,					255) + 0.5).astype(np.uinta)
      a		:						Dict 				=     Image.fromarray(UpperCamelCase__)
      return image






    def       __snake_case				(   self							:       Tuple							,					__UpperCAmelCase							:       Optional[Any]):
      a		:						List[Any] 				=     np.frombuffer(image.tobytes()							,					dtype="uint8").reshape((image.height, image.width))
      a		:						Dict 				=     bytedata.astype("float") * self.top_db / 255 - self.top_db
      a		:						Union[str, Any] 				=     librosa.db_to_power(UpperCamelCase__)
      a		:						Dict 				=     librosa.feature.inverse.mel_to_audio(
          UpperCamelCase__							,					sr=self.sr							,					n_fft=self.n_fft							,					hop_length=self.hop_length							,					n_iter=self.n_iter)
      return audio








def 					SCREAMING_SNAKE_CASE  (   __UpperCamelCase			:    list[int]							)			->							int:

				"""simple docstring"""







				if not isinstance(__UpperCamelCase				,    __UpperCamelCase							) or not all(
				    isinstance(__UpperCamelCase				,    __UpperCamelCase							) and item >= 0 for item in citations							):
								raise ValueError('''The citations should be a list of non negative integers.'''							)

				citations.sort()
				A__	:						str								=				len(__UpperCamelCase							)

				for i in range(__UpperCamelCase							):
								if citations[len_citations - 1 - i] <= i:
												return i

				return len_citations


if __name__ == "__main__":
					import doctest

					doctest.testmod()