






"""simple docstring"""



import math

def 			_snake_case    (					lowerCamelCase__     :   float    ,						lowerCamelCase__     :   float  )    ->     float:

							if (
							    not isinstance(__a    ,						(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 			_snake_case    (					lowerCamelCase__     :   float    ,						lowerCamelCase__     :   float  )    ->     float:

							if (
							    not isinstance(__a    ,						(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()













"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


A__	:    str			 = logging.get_logger(__name__)







class        lowercase__      (							snake_case__       ):


			def __init__(				self					:  Optional[Any]       ,	*snake_case__					:  int       ,	**snake_case__					:  Any ):
										warnings.warn(
										    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use PerceiverImageProcessor instead."       ,	snake_case__       ,	)
										super().__init__(*snake_case__       ,	**snake_case__ )



