
"""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 A_      (lowercase__							,lowercase__ ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__     :		Optional[int]    	=						"""mel_config.json"""







  @register_to_config
  def __init__(						self							,  lowercase_ = 256							,  lowercase_ = 256							,  lowercase_ = 2_2050							,  lowercase_ = 2048							,  lowercase_ = 512							,  lowercase_ = 80							,  lowercase_ = 32							,  ):

     """simple docstring"""
     UpperCAmelCase_   :   str     	=       hop_length
     UpperCAmelCase_   :   Optional[Any]     	=       sample_rate
     UpperCAmelCase_   :   Union[str, Any]     	=       n_fft
     UpperCAmelCase_   :   Optional[Any]     	=       top_db
     UpperCAmelCase_   :   Union[str, Any]     	=       n_iter
     self.set_resolution(lowercase_							,  lowercase_    )
     UpperCAmelCase_   :   Any     	=       None

     if not _librosa_can_be_imported:
        raise ValueError(_import_error    )







  def 			UpperCamelCase__   (						self							,  lowercase_							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   Any     	=       x_res
     UpperCAmelCase_   :   List[Any]     	=       y_res
     UpperCAmelCase_   :   Any     	=       self.y_res
     UpperCAmelCase_   :   Optional[int]     	=       self.x_res * self.hop_length - 1







  def 			UpperCamelCase__   (						self							,  lowercase_ = None							,  lowercase_ = None    ):

     """simple docstring"""
     if audio_file is not None:
        UpperCAmelCase_	,  UpperCAmelCase_   :   Optional[int]     	=       librosa.load(lowercase_							,  mono=lowercase_							,  sr=self.sr    )
     else:
        UpperCAmelCase_   :   str     	=       raw_audio

     # Pad with silence if necessary.
     if len(self.audio    ) < self.x_res * self.hop_length:
        UpperCAmelCase_   :   Optional[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							,  lowercase_ = 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							,  lowercase_    ):

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







  def 			UpperCamelCase__   (						self							,  lowercase_    ):

     """simple docstring"""
     UpperCAmelCase_   :   List[Any]     	=       np.frombuffer(image.tobytes()							,  dtype="uint8"    ).reshape((image.height, image.width)    )
     UpperCAmelCase_   :   Union[str, Any]     	=       bytedata.astype("float"    ) * self.top_db / 255 - self.top_db
     UpperCAmelCase_   :   Union[str, Any]     	=       librosa.db_to_power(lowercase_    )
     UpperCAmelCase_   :   Tuple     	=       librosa.feature.inverse.mel_to_audio(
         lowercase_							,  sr=self.sr							,  n_fft=self.n_fft							,  hop_length=self.hop_length							,  n_iter=self.n_iter    )
     return audio




"""simple docstring"""





def       __a	(						__lowerCamelCase    ):
   for i, _ in enumerate(__lowerCamelCase    ):
      if (i % 2 == 1) == (nums[i - 1] > nums[i]):
         UpperCAmelCase_	,  UpperCAmelCase_   :   List[Any]     	=       nums[i], nums[i - 1]

   return nums


if __name__ == "__main__":
    print('Enter the array elements:')
    _a									=				list(map(int, input().split()))
    print('The unsorted array is:')
    print(array)
    print('Array after Wiggle sort:')
    print(wiggle_sort(array))


