





'''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
snake_case_			:     List[str]  	=  1.0_54_57_18_17e-34  # unit of ℏ : J * s

snake_case_			:     List[Any]  	=  3e8  # unit of c : m * s^-1






def A__   (					UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):

						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:
												_UpperCamelCase :		Tuple			    =       (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
												    2_4_0 * (distance) ** 4
												)
												return {"force": force}
						elif area == 0:
												_UpperCamelCase :		Dict			    =       (2_4_0 * force * (distance) ** 4) / (
												    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
												)
												return {"area": area}
						elif distance == 0:
												_UpperCamelCase :		Optional[int]			    =       (
												    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_4_0 * 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


snake_case_			:     Optional[int]  	=  {
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     int  	=  ['Mask2FormerImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     List[Any]  	=  [
					    '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

					snake_case_			:     Dict  	=  _LazyModule(__name__, globals()['__file__'], _import_structure)


