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

     snake_case__						      =			True
     snake_case__						      =			''
except Exception as e:
     snake_case__						      =			False
     snake_case__						      =			(
         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					(			_A ,	_A			):

     '''simple docstring'''

     A_					    =	'mel_config.json'



     @register_to_config
     def __init__(       self					,					A_ = 2_56					,					A_ = 2_56					,					A_ = 2_20_50					,					A_ = 20_48					,					A_ = 5_12					,					A_ = 80					,					A_ = 32					,					)			->					List[Any]:






           """simple docstring"""
           _lowerCamelCase           =					hop_length
           _lowerCamelCase           =					sample_rate
           _lowerCamelCase           =					n_fft
           _lowerCamelCase           =					top_db
           _lowerCamelCase           =					n_iter
           self.set_resolution(__SCREAMING_SNAKE_CASE					,					__SCREAMING_SNAKE_CASE    )
           _lowerCamelCase           =					None

           if not _librosa_can_be_imported:
                 raise ValueError(_import_error    )



     def 		UpperCamelCase_    (       self					,					A_					,					A_    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					x_res
           _lowerCamelCase           =					y_res
           _lowerCamelCase           =					self.y_res
           _lowerCamelCase           =					self.x_res * self.hop_length - 1



     def 		UpperCamelCase_    (       self					,					A_ = None					,					A_ = None    )			->					Optional[Any]:






           """simple docstring"""
           if audio_file is not None:
                 _lowerCamelCase     ,       _lowerCamelCase           =					librosa.load(__SCREAMING_SNAKE_CASE					,					mono=__SCREAMING_SNAKE_CASE					,					sr=self.sr    )
           else:
                 _lowerCamelCase           =					raw_audio

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



     def 		UpperCamelCase_    (       self    )			->					int:






           """simple docstring"""
           return len(self.audio    ) // self.slice_size



     def 		UpperCamelCase_    (       self					,					A_ = 0    )			->					str:






           """simple docstring"""
           return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]



     def 		UpperCamelCase_    (       self    )			->					int:






           """simple docstring"""
           return self.sr



     def 		UpperCamelCase_    (       self					,					A_    )			->					Optional[Any]:






           """simple docstring"""
           _lowerCamelCase           =					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    )
           _lowerCamelCase           =					librosa.power_to_db(__SCREAMING_SNAKE_CASE					,					ref=np.max					,					top_db=self.top_db    )
           _lowerCamelCase           =					(((log_S + self.top_db) * 2_55 / self.top_db).clip(0					,					2_55    ) + 0.5).astype(np.uinta    )
           _lowerCamelCase           =					Image.fromarray(__SCREAMING_SNAKE_CASE    )
           return image





     def 		UpperCamelCase_    (       self					,					A_    )			->					List[Any]:






           """simple docstring"""
           _lowerCamelCase           =					np.frombuffer(image.tobytes()					,					dtype='''uint8'''    ).reshape((image.height, image.width)    )
           _lowerCamelCase           =					bytedata.astype('''float'''    ) * self.top_db / 2_55 - self.top_db
           _lowerCamelCase           =					librosa.db_to_power(__SCREAMING_SNAKE_CASE    )
           _lowerCamelCase           =					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


"""simple docstring"""




__A	:       dict[str, float]        =						{
    "kilogram": 1,
    "gram": pow(10, 3),
    "milligram": pow(10, 6),
    "metric-ton": pow(10, -3),
    "long-ton": 0.00_09_84_20_73,
    "short-ton": 0.00_11_02_31_22,
    "pound": 2.20_46_24_42_02,
    "stone": 0.15_74_73_17_28,
    "ounce": 35.2_73_99_07_23,
    "carrat": 50_00,
    "atomic-mass-unit": 6.0_2213_6652E26,
}

__A	:       dict[str, float]        =						{
    "kilogram": 1,
    "gram": pow(10, -3),
    "milligram": pow(10, -6),
    "metric-ton": pow(10, 3),
    "long-ton": 10_16.0_46_08,
    "short-ton": 9_07.1_84,
    "pound": 0.45_35_92,
    "stone": 6.3_50_29,
    "ounce": 0.0_28_34_95,
    "carrat": 0.00_02,
    "atomic-mass-unit": 1.6_6054_0199E-27,
}
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					if to_type not in KILOGRAM_CHART or from_type not in WEIGHT_TYPE_CHART:
										A     =   (
										    F"""Invalid 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"""
										    F"""Supported values are: {", ".join(lowercase__ )}"""
										)
										raise ValueError(lowercase__ )
					return value * KILOGRAM_CHART[to_type] * WEIGHT_TYPE_CHART[from_type]


if __name__ == "__main__":
	import doctest

	doctest.testmod()





