'''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

  __SCREAMING_SNAKE_CASE	:					Union[str, Any]					=  True
  __SCREAMING_SNAKE_CASE	:					Optional[int]					=  """"""
except Exception as e:
  __SCREAMING_SNAKE_CASE	:					Dict					=  False
  __SCREAMING_SNAKE_CASE	:					Optional[Any]					=  (
      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      lowerCamelCase_     (snake_case__							,			snake_case__   ):
      '''simple docstring'''

      __UpperCamelCase:  Dict      =						'mel_config.json'




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

             if not _librosa_can_be_imported:
                    raise ValueError(_import_error	)




      def 					_A     (	self						:    Optional[Any]						, A						:    str						, A						:    Optional[Any]	):
             _UpperCAmelCase					:  List[Any]											=   x_res
             _UpperCAmelCase					:  List[Any]											=   y_res
             _UpperCAmelCase					:  Any											=   self.y_res
             _UpperCAmelCase					:  Dict											=   self.x_res * self.hop_length - 1




      def 					_A     (	self						:    Tuple						, A						:    Dict = None						, A						:    List[Any] = None	):



             if audio_file is not None:
                    _UpperCAmelCase				,  _UpperCAmelCase					:  List[Any]											=   librosa.load(A						, mono=A						, sr=self.sr	)
             else:
                    _UpperCAmelCase					:  Any											=   raw_audio

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




      def 					_A     (	self						:    Optional[int]	):
             return len(self.audio	) // self.slice_size




      def 					_A     (	self						:    Dict						, A						:    Dict = 0	):
             return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]




      def 					_A     (	self						:    List[Any]	):
             return self.sr




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





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




'''simple docstring'''




import warnings

from .generation import FlaxGenerationMixin

class      lowerCamelCase_     (snake_case__   ):
      '''simple docstring'''

      warnings.warn(
          "Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will "
          "be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."							,			snake_case__							,			)

