



import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__lowerCamelCase     :							Any  							=  logging.get_logger(__name__)





class  __magic_name__   (							__SCREAMING_SNAKE_CASE						):






		def __init__(						self      :     List[Any]				,		*UpperCamelCase__      :     Optional[int]				,		**UpperCamelCase__      :     Optional[Any]      )				->					Dict:
								'''simple docstring'''







								warnings.warn(
								    "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
								    " use BeitImageProcessor instead."				,		__snake_case				,		)
								super().__init__(*__snake_case				,		**__snake_case      )








from ..utils import DummyObject, requires_backends





class  __magic_name__   (							metaclass=A__						):
		lowercase      :       int          =['''note_seq''']






		def __init__(						self      :     List[Any]				,		*UpperCamelCase__      :     Tuple				,		**UpperCamelCase__      :     Dict      )				->					int:
								'''simple docstring'''







								requires_backends(self				,		["note_seq"]      )






		@classmethod
		def SCREAMING_SNAKE_CASE_			(						cls      :     List[str]				,		*UpperCamelCase__      :     Dict				,		**UpperCamelCase__      :     str      )				->					Optional[int]:
								'''simple docstring'''







								requires_backends(cls				,		["note_seq"]      )







		@classmethod
		def SCREAMING_SNAKE_CASE_			(						cls      :     List[Any]				,		*UpperCamelCase__      :     Optional[int]				,		**UpperCamelCase__      :     Optional[Any]      )				->					Optional[int]:
								'''simple docstring'''







								requires_backends(cls				,		["note_seq"]      )



