




import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


lowerCamelCase    :		Optional[int]			   =       logging.get_logger(__name__)







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 def __init__(    self :  List[Any]						,							*A_ :  int						,							**A_ :  Dict  )       ->     None:

       """simple docstring"""






       warnings.warn(
           'The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
           ' use FlavaImageProcessor instead.'						,							A_						,							)
       super().__init__(*A_						,							**A_  )









from ..utils import DummyObject, requires_backends







class   A(						metaclass=UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						['''transformers''', '''torch''', '''note_seq''']

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

       """simple docstring"""






       requires_backends(self						,							['transformers', 'torch', 'note_seq']  )

 @classmethod
 def     a__			(    cls :  Tuple						,							*A_ :  Dict						,							**A_ :  Optional[Any]  )       ->     Union[str, Any]:

       """simple docstring"""






       requires_backends(cls						,							['transformers', 'torch', 'note_seq']  )





 @classmethod
 def     a__			(    cls :  int						,							*A_ :  Dict						,							**A_ :  List[str]  )       ->     Tuple:

       """simple docstring"""






       requires_backends(cls						,							['transformers', 'torch', 'note_seq']  )



