
"""simple docstring"""






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,
)


UpperCAmelCase          =							AttentionProcessor



class  lowercase				(   lowercase__		):






			def __init__(self     :  Optional[Any]			,*SCREAMING_SNAKE_CASE_     :  List[str]			,**SCREAMING_SNAKE_CASE_     :  str )					->  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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  str			,*SCREAMING_SNAKE_CASE_     :  Optional[int]			,**SCREAMING_SNAKE_CASE_     :  Optional[Any] )					->  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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  Dict			,*SCREAMING_SNAKE_CASE_     :  Optional[Any]			,**SCREAMING_SNAKE_CASE_     :  List[str] )					->  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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  List[Any]			,*SCREAMING_SNAKE_CASE_     :  Tuple			,**SCREAMING_SNAKE_CASE_     :  Union[str, Any] )					->  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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  List[Any]			,*SCREAMING_SNAKE_CASE_     :  str			,**SCREAMING_SNAKE_CASE_     :  Dict )					->  str:





				"""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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  Union[str, Any]			,*SCREAMING_SNAKE_CASE_     :  int			,**SCREAMING_SNAKE_CASE_     :  Any )					->  List[str]:





				"""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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  Union[str, Any]			,*SCREAMING_SNAKE_CASE_     :  int			,**SCREAMING_SNAKE_CASE_     :  Union[str, Any] )					->  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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )





class  lowercase				(   lowercase__		):






			def __init__(self     :  int			,*SCREAMING_SNAKE_CASE_     :  Tuple			,**SCREAMING_SNAKE_CASE_     :  List[Any] )					->  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'''			,SCREAMING_SNAKE_CASE_			,standard_warn=SCREAMING_SNAKE_CASE_ )
				super().__init__(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )




"""simple docstring"""






import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin



class  lowercase				(   lowercase__		):
			lowercase			     =    '''AutoFeatureExtractor'''
			lowercase			     =    '''Speech2Text2Tokenizer'''






			def __init__(self     :  Tuple			,SCREAMING_SNAKE_CASE_     :  Union[str, Any]			,SCREAMING_SNAKE_CASE_     :  Optional[int] )					->  int:





				"""simple docstring"""


				super().__init__(SCREAMING_SNAKE_CASE_			,SCREAMING_SNAKE_CASE_ )
				lowerCAmelCase				       =     self.feature_extractor
				lowerCAmelCase				       =     False






			def __call__(self     :  Tuple			,*SCREAMING_SNAKE_CASE_     :  Optional[Any]			,**SCREAMING_SNAKE_CASE_     :  Dict )					->  Any:





				"""simple docstring"""


				if self._in_target_context_manager:
					return self.current_processor(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )

				if "raw_speech" in kwargs:
					warnings.warn('''Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.''' )
					lowerCAmelCase				       =     kwargs.pop('''raw_speech''' )
				else:
					lowerCAmelCase				       =     kwargs.pop('''audio'''			,SCREAMING_SNAKE_CASE_ )
				lowerCAmelCase				       =     kwargs.pop('''sampling_rate'''			,SCREAMING_SNAKE_CASE_ )
				lowerCAmelCase				       =     kwargs.pop('''text'''			,SCREAMING_SNAKE_CASE_ )
				if len(SCREAMING_SNAKE_CASE_ ) > 0:
					lowerCAmelCase				       =     args[0]
					lowerCAmelCase				       =     args[1:]

				if audio is None and text is None:
					raise ValueError('''You need to specify either an `audio` or `text` input to process.''' )

				if audio is not None:
					lowerCAmelCase				       =     self.feature_extractor(SCREAMING_SNAKE_CASE_			,*SCREAMING_SNAKE_CASE_			,sampling_rate=SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )
				if text is not None:
					lowerCAmelCase				       =     self.tokenizer(SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )

				if text is None:
					return inputs
				elif audio is None:
					return encodings
				else:
					lowerCAmelCase				       =     encodings['''input_ids''']
					return inputs






			def 				UpperCAmelCase       (self     :  Optional[int]			,*SCREAMING_SNAKE_CASE_     :  Any			,**SCREAMING_SNAKE_CASE_     :  List[Any] )					->  str:





				"""simple docstring"""


				return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )






			def 				UpperCAmelCase       (self     :  Optional[int]			,*SCREAMING_SNAKE_CASE_     :  int			,**SCREAMING_SNAKE_CASE_     :  Any )					->  Dict:





				"""simple docstring"""


				return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )






			@contextmanager
			def 				UpperCAmelCase       (self     :  Optional[int] )					->  Union[str, Any]:





				"""simple docstring"""


				warnings.warn(
				    '''`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '''
				    '''labels by using the argument `text` of the regular `__call__` method (either in the same call as '''
				    '''your audio inputs, or in a separate call.''' )
				lowerCAmelCase				       =     True
				lowerCAmelCase				       =     self.tokenizer
				yield
				lowerCAmelCase				       =     self.feature_extractor
				lowerCAmelCase				       =     False


