





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












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()




