



"""simple docstring"""
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
__a      =				1.054_571_817e-34  # unit of ℏ : J * s

__a      =				3e8  # unit of c : m * s^-1
def    A_  (			_lowercase,					_lowercase,					_lowercase	):







						'''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:
												snake_case_ :Dict						=			(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
												    240 * (distance) ** 4
												)
												return {"force": force}
						elif area == 0:
												snake_case_ :List[Any]						=			(240 * force * (distance) ** 4) / (
												    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
												)
												return {"area": area}
						elif distance == 0:
												snake_case_ :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()





"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__a      =				{
    "configuration_mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				["Mask2FormerImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				[
						    "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "Mask2FormerForUniversalSegmentation",
						    "Mask2FormerModel",
						    "Mask2FormerPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_maskaformer import MaskaFormerImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_maskaformer import (
												    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MaskaFormerForUniversalSegmentation,
												    MaskaFormerModel,
												    MaskaFormerPreTrainedModel,
												)


else:
						import sys

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