



from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
SCREAMING_SNAKE_CASE_:Optional[Any] 			=		1.0_5_4_5_7_1_8_1_7E-3_4  # unit of ℏ : J * s

SCREAMING_SNAKE_CASE_:Union[str, Any] 			=		3E8  # unit of c : m * s^-1




def       __UpperCamelCase      (    _lowerCAmelCase ,	_lowerCAmelCase ,	_lowerCAmelCase						)			->    dict[str, float]:



    """simple docstring"""






    if (force, area, distance).count(0						) != 1:
        raise ValueError("""One and only one argument must be 0"""						)
    if force < 0:
        raise ValueError("""Magnitude of force can not be negative"""						)
    if distance < 0:
        raise ValueError("""Distance can not be negative"""						)
    if area < 0:
        raise ValueError("""Area can not be negative"""						)
    if force == 0:
        A					:			List[Any]		=  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
            240 * (distance) ** 4
        )
        return {"force": force}
    elif area == 0:
        A					:			Tuple		=  (240 * force * (distance) ** 4) / (
            REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
        )
        return {"area": area}
    elif distance == 0:
        A					:			Optional[int]		=  (
            (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
        ) ** (1 / 4)
        return {"distance": distance}
    raise ValueError("""One and only one argument must be 0"""						)


# Run doctest
if __name__ == "__main__":
     import doctest

     doctest.testmod()





from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_							:					int		 =   {
    '''configuration_informer''': [
        '''INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InformerConfig''',
    ],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase_							:					List[str]		 =   [
			    '''INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''InformerForPrediction''',
			    '''InformerModel''',
			    '''InformerPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_informer import (
						    INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
						    InformerForPrediction,
						    InformerModel,
						    InformerPreTrainedModel,
						)

else:
			import sys

			UpperCAmelCase_							:					Optional[int]		 =   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





