


__lowerCAmelCase		       =							{
    '''joule''': 1.0,
    '''kilojoule''': 10_00,
    '''megajoule''': 1_00_00_00,
    '''gigajoule''': 10_00_00_00_00,
    '''wattsecond''': 1.0,
    '''watthour''': 36_00,
    '''kilowatthour''': 3_60_00_00,
    '''newtonmeter''': 1.0,
    '''calorie_nutr''': 4186.8,
    '''kilocalorie_nutr''': 4_18_68_00.00,
    '''electronvolt''': 1.6_0217_6634E-19,
    '''britishthermalunit_it''': 1055.05585,
    '''footpound''': 1.355818,
}




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				float:
       if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
              lowercase__:   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'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__a          =		{
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __a          =		[
           "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TimesformerModel",
           "TimesformerForVideoClassification",
           "TimesformerPreTrainedModel",
       ]

if TYPE_CHECKING:
       from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_timesformer import (
                  TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TimesformerForVideoClassification,
                  TimesformerModel,
                  TimesformerPreTrainedModel,
              )

else:
       import sys

       __a          =		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
