
'''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

   __UpperCAmelCase												=   True
   __UpperCAmelCase												=   ''
except Exception as e:
   __UpperCAmelCase												=   False
   __UpperCAmelCase												=   (
       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"""




   A		= 'mel_config.json'






   @register_to_config
   def __init__(       self    ,__SCREAMING_SNAKE_CASE = 256    ,__SCREAMING_SNAKE_CASE = 256    ,__SCREAMING_SNAKE_CASE = 22050    ,__SCREAMING_SNAKE_CASE = 2048    ,__SCREAMING_SNAKE_CASE = 512    ,__SCREAMING_SNAKE_CASE = 80    ,__SCREAMING_SNAKE_CASE = 32    ,):
    SCREAMING_SNAKE_CASE  :  Any								=		hop_length
    SCREAMING_SNAKE_CASE  :  List[Any]								=		sample_rate
    SCREAMING_SNAKE_CASE  :  Tuple								=		n_fft
    SCREAMING_SNAKE_CASE  :  Optional[Any]								=		top_db
    SCREAMING_SNAKE_CASE  :  Any								=		n_iter
    self.set_resolution(A_    ,A_      )
    SCREAMING_SNAKE_CASE  :  Any								=		None

    if not _librosa_can_be_imported:
     raise ValueError(_import_error      )






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  Tuple								=		x_res
    SCREAMING_SNAKE_CASE  :  Any								=		y_res
    SCREAMING_SNAKE_CASE  :  Optional[int]								=		self.y_res
    SCREAMING_SNAKE_CASE  :  Any								=		self.x_res * self.hop_length - 1






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE = None    ,__SCREAMING_SNAKE_CASE = None      ):
    if audio_file is not None:
     SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE  :  List[Any]								=		librosa.load(A_    ,mono=A_    ,sr=self.sr      )
    else:
     SCREAMING_SNAKE_CASE  :  List[Any]								=		raw_audio

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






   def 					__a			(       self      ):
    return len(self.audio      ) // self.slice_size






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE = 0      ):
    return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]






   def 					__a			(       self      ):
    return self.sr






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  Optional[int]								=		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      )
    SCREAMING_SNAKE_CASE  :  Optional[int]								=		librosa.power_to_db(A_    ,ref=np.max    ,top_db=self.top_db      )
    SCREAMING_SNAKE_CASE  :  int								=		(((log_S + self.top_db) * 255 / self.top_db).clip(0    ,255      ) + 0.5).astype(np.uinta      )
    SCREAMING_SNAKE_CASE  :  Dict								=		Image.fromarray(A_      )
    return image






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  List[Any]								=		np.frombuffer(image.tobytes()    ,dtype='uint8'      ).reshape((image.height, image.width)      )
    SCREAMING_SNAKE_CASE  :  Optional[int]								=		bytedata.astype('float'      ) * self.top_db / 255 - self.top_db
    SCREAMING_SNAKE_CASE  :  Dict								=		librosa.db_to_power(A_      )
    SCREAMING_SNAKE_CASE  :  Optional[int]								=		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



from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    'cross_attention',
    '0.20.0',
    'Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.',
    standard_warn=False,
)


snake_case__						      =			AttentionProcessor



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

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






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

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






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Dict:






           """simple docstring"""
           _lowerCamelCase           =					F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"    )    )} instead.'
           deprecate('''cross_attention'''					,					'''0.20.0'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )