


import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding





class    A					(     A_				):
							UpperCamelCase_     :							Optional[int] =['''image_processor''', '''tokenizer''']
							UpperCamelCase_     :							Optional[Any] ='''VideoMAEImageProcessor'''
							UpperCamelCase_     :							Dict =('''CLIPTokenizer''', '''CLIPTokenizerFast''')


							def __init__(self   ,       lowerCAmelCase=None   ,       lowerCAmelCase=None   ,       **lowerCAmelCase      ):
									__lowercase=    None
									if "feature_extractor" in kwargs:
											warnings.warn(
											    'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
											    ' instead.'   ,       lowerCAmelCase   ,       )
											__lowercase=    kwargs.pop('feature_extractor'      )

									__lowercase=    image_processor if image_processor is not None else feature_extractor
									if image_processor is None:
											raise ValueError('You need to specify an `image_processor`.'      )
									if tokenizer is None:
											raise ValueError('You need to specify a `tokenizer`.'      )

									super().__init__(lowerCAmelCase   ,       lowerCAmelCase      )
									__lowercase=    self.image_processor


							def __call__(self   ,       lowerCAmelCase=None   ,       lowerCAmelCase=None   ,       lowerCAmelCase=None   ,       **lowerCAmelCase      ):

									if text is None and videos is None:
											raise ValueError('You have to specify either text or videos. Both cannot be none.'      )

									if text is not None:
											__lowercase=    self.tokenizer(lowerCAmelCase   ,       return_tensors=lowerCAmelCase   ,       **lowerCAmelCase      )

									if videos is not None:
											__lowercase=    self.image_processor(lowerCAmelCase   ,       return_tensors=lowerCAmelCase   ,       **lowerCAmelCase      )

									if text is not None and videos is not None:
											__lowercase=    image_features.pixel_values
											return encoding
									elif text is not None:
											return encoding
									else:
											return BatchEncoding(data=dict(**lowerCAmelCase      )   ,       tensor_type=lowerCAmelCase      )


							def     _A (self   ,       *lowerCAmelCase   ,       **lowerCAmelCase      ):
									return self.tokenizer.batch_decode(*lowerCAmelCase   ,       **lowerCAmelCase      )


							def     _A (self   ,       *lowerCAmelCase   ,       **lowerCAmelCase      ):
									return self.tokenizer.decode(*lowerCAmelCase   ,       **lowerCAmelCase      )


							@property
							def     _A (self      ):
									return ["input_ids", "attention_mask", "position_ids", "pixel_values"]


							@property
							def     _A (self      ):
									warnings.warn(
									    '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'   ,       lowerCAmelCase   ,       )
									return self.image_processor_class







							@property
							def     _A (self      ):
									warnings.warn(
									    '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'   ,       lowerCAmelCase   ,       )
									return self.image_processor










from __future__ import annotations

from enum import Enum





class    A					(     A_				):
							UpperCamelCase_     :							List[Any] =24
							UpperCamelCase_     :							List[Any] =21
							UpperCamelCase_     :							int =18
							UpperCamelCase_     :							Optional[int] =15
							UpperCamelCase_     :							Tuple =12
							UpperCamelCase_     :							List[str] =9
							UpperCamelCase_     :							Any =6
							UpperCamelCase_     :							List[str] =3
							UpperCamelCase_     :							str =2
							UpperCamelCase_     :							str =1
							UpperCamelCase_     :							Optional[int] =-1
							UpperCamelCase_     :							List[Any] =-2
							UpperCamelCase_     :							str =-3
							UpperCamelCase_     :							Tuple =-6
							UpperCamelCase_     :							Tuple =-9
							UpperCamelCase_     :							Optional[int] =-12
							UpperCamelCase_     :							str =-15
							UpperCamelCase_     :							Optional[Any] =-18
							UpperCamelCase_     :							Any =-21
							UpperCamelCase_     :							List[str] =-24





class    A					(     A_				):
							UpperCamelCase_     :							str =8
							UpperCamelCase_     :							Optional[Any] =7
							UpperCamelCase_     :							Tuple =6
							UpperCamelCase_     :							List[Any] =5
							UpperCamelCase_     :							Optional[Any] =4
							UpperCamelCase_     :							Union[str, Any] =3
							UpperCamelCase_     :							Union[str, Any] =2
							UpperCamelCase_     :							int =1







def  _lowerCamelCase(			lowercase__     ,				lowercase__     ,				lowercase__     ,				)		->			float:

		'''simple docstring'''







		if isinstance(lowercase__     ,				lowercase__			):
				__lowercase=    SIUnit[known_prefix.lower()]
		if isinstance(lowercase__     ,				lowercase__			):
				__lowercase=    SIUnit[unknown_prefix.lower()]
		__lowercase=    known_amount * (
		    1_0 ** (known_prefix.value - unknown_prefix.value)
		)
		return unknown_amount







def  _lowerCamelCase(			lowercase__     ,				lowercase__     ,				lowercase__     ,				)		->			float:

		'''simple docstring'''







		if isinstance(lowercase__     ,				lowercase__			):
				__lowercase=    BinaryUnit[known_prefix.lower()]
		if isinstance(lowercase__     ,				lowercase__			):
				__lowercase=    BinaryUnit[unknown_prefix.lower()]
		__lowercase=    known_amount * (
		    2 ** ((known_prefix.value - unknown_prefix.value) * 1_0)
		)
		return unknown_amount


if __name__ == "__main__":
	import doctest

	doctest.testmod()






