



'''simple docstring'''





__a          =		{
    "joule": 1.0,
    "kilojoule": 1000,
    "megajoule": 100_0000,
    "gigajoule": 10_0000_0000,
    "wattsecond": 1.0,
    "watthour": 3600,
    "kilowatthour": 360_0000,
    "newtonmeter": 1.0,
    "calorie_nutr": 4186.8,
    "kilocalorie_nutr": 418_6800.00,
    "electronvolt": 1.602176634E-19,
    "britishthermalunit_it": 1055.0_5585,
    "footpound": 1.355818,
}





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase		)		-> float:
      if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
            snake_case__  :    Optional[int]    						=      (
                f"Incorrect 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"
                f"Valid values are: {', '.join(_lowerCAmelCase		)}"
            )
            raise ValueError(_lowerCAmelCase		)
      return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
       import doctest

       doctest.testmod()





'''simple docstring'''





import warnings

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


__a          =		logging.get_logger(__name__)







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    def __init__(    self					:     List[str] ,     *snake_case_					:     str ,     **snake_case_					:     List[str]						):
          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_						)
