
"""simple docstring"""




from __future__ import annotations

from enum import Enum







class 	_lowercase    (							lowerCAmelCase_					):


     '''simple docstring'''





     _A		    =				24
     _A		    =				21
     _A		    =				18
     _A		    =				15
     _A		    =				12
     _A		    =				9
     _A		    =				6
     _A		    =				3
     _A		    =				2
     _A		    =				1
     _A		    =				-1
     _A		    =				-2
     _A		    =				-3
     _A		    =				-6
     _A		    =				-9
     _A		    =				-12
     _A		    =				-15
     _A		    =				-18
     _A		    =				-21
     _A		    =				-24







class 	_lowercase    (							lowerCAmelCase_					):


     '''simple docstring'''





     _A		    =				8
     _A		    =				7
     _A		    =				6
     _A		    =				5
     _A		    =				4
     _A		    =				3
     _A		    =				2
     _A		    =				1





def 				a__			(					lowerCAmelCase						:							float							,     lowerCAmelCase						:							str | SIUnit							,     lowerCAmelCase						:							str | SIUnit							,     ):






     '''simple docstring'''
     if isinstance(lowerCAmelCase							,     lowerCAmelCase		):
          UpperCAmelCase__				:			Optional[int]							=    SIUnit[known_prefix.lower()]
     if isinstance(lowerCAmelCase							,     lowerCAmelCase		):
          UpperCAmelCase__				:			Dict							=    SIUnit[unknown_prefix.lower()]
     UpperCAmelCase__				:			float							=    known_amount * (
         10 ** (known_prefix.value - unknown_prefix.value)
     )
     return unknown_amount



def 				a__			(					lowerCAmelCase						:							float							,     lowerCAmelCase						:							str | BinaryUnit							,     lowerCAmelCase						:							str | BinaryUnit							,     ):






     '''simple docstring'''
     if isinstance(lowerCAmelCase							,     lowerCAmelCase		):
          UpperCAmelCase__				:			Any							=    BinaryUnit[known_prefix.lower()]
     if isinstance(lowerCAmelCase							,     lowerCAmelCase		):
          UpperCAmelCase__				:			Optional[int]							=    BinaryUnit[unknown_prefix.lower()]
     UpperCAmelCase__				:			float							=    known_amount * (
         2 ** ((known_prefix.value - unknown_prefix.value) * 10)
     )
     return unknown_amount


if __name__ == "__main__":
    import doctest

    doctest.testmod()





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A__   :						Optional[Any] 							=     {"""configuration_vilt""": ["""VILT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViltConfig"""]}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A__   :						List[Any] 							=     ["""ViltFeatureExtractor"""]
    A__   :						Any 							=     ["""ViltImageProcessor"""]
    A__   :						int 							=     ["""ViltProcessor"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A__   :						str 							=     [
        """VILT_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ViltForImageAndTextRetrieval""",
        """ViltForImagesAndTextClassification""",
        """ViltForTokenClassification""",
        """ViltForMaskedLM""",
        """ViltForQuestionAnswering""",
        """ViltLayer""",
        """ViltModel""",
        """ViltPreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_vilt import ViltFeatureExtractor
        from .image_processing_vilt import ViltImageProcessor
        from .processing_vilt import ViltProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
            ViltForTokenClassification,
            ViltLayer,
            ViltModel,
            ViltPreTrainedModel,
        )


else:
    import sys

    A__   :						Any 							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure)



