




'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase       			= {
    'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
    'tokenization_luke': ['LukeTokenizer'],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase       			= [
         'LUKE_PRETRAINED_MODEL_ARCHIVE_LIST',
         'LukeForEntityClassification',
         'LukeForEntityPairClassification',
         'LukeForEntitySpanClassification',
         'LukeForMultipleChoice',
         'LukeForQuestionAnswering',
         'LukeForSequenceClassification',
         'LukeForTokenClassification',
         'LukeForMaskedLM',
         'LukeModel',
         'LukePreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
     from .tokenization_luke import LukeTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_luke import (
              LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
              LukeForEntityClassification,
              LukeForEntityPairClassification,
              LukeForEntitySpanClassification,
              LukeForMaskedLM,
              LukeForMultipleChoice,
              LukeForQuestionAnswering,
              LukeForSequenceClassification,
              LukeForTokenClassification,
              LukeModel,
              LukePreTrainedModel,
          )

else:
     import sys

     UpperCamelCase       			= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)












import math

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> float:
       if (
           not isinstance(_SCREAMING_SNAKE_CASE ,(int, float)    )
           or power_factor < -1
           or power_factor > 1
       ):
              raise ValueError("power_factor must be a valid float value between -1 and 1."    )
       return apparent_power * power_factor

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> float:
       if (
           not isinstance(_SCREAMING_SNAKE_CASE ,(int, float)    )
           or power_factor < -1
           or power_factor > 1
       ):
              raise ValueError("power_factor must be a valid float value between -1 and 1."    )
       return apparent_power * math.sqrt(1 - power_factor**2    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()






