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
UpperCAmelCase					      =							1.0_5457_1817e-34  # unit of ℏ : J * s

UpperCAmelCase					      =							3e8  # unit of c : m * s^-1






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			Optional[Any]			,						lowerCAmelCase_:			str			,						lowerCAmelCase_:			Union[str, Any]  ):



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










from typing import TYPE_CHECKING

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


UpperCAmelCase_							=				{
    """configuration_maskformer""": ["""MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MaskFormerConfig"""],
    """configuration_maskformer_swin""": ["""MaskFormerSwinConfig"""],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase_							=				["""MaskFormerFeatureExtractor"""]
							UpperCAmelCase_							=				["""MaskFormerImageProcessor"""]


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase_							=				[
							    """MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MaskFormerForInstanceSegmentation""",
							    """MaskFormerModel""",
							    """MaskFormerPreTrainedModel""",
							]
							UpperCAmelCase_							=				[
							    """MaskFormerSwinBackbone""",
							    """MaskFormerSwinModel""",
							    """MaskFormerSwinPreTrainedModel""",
							]

if TYPE_CHECKING:
							from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
							from .configuration_maskformer_swin import MaskFormerSwinConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_maskformer import MaskFormerFeatureExtractor
														from .image_processing_maskformer import MaskFormerImageProcessor
							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_maskformer import (
														    MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MaskFormerForInstanceSegmentation,
														    MaskFormerModel,
														    MaskFormerPreTrainedModel,
														)
														from .modeling_maskformer_swin import (
														    MaskFormerSwinBackbone,
														    MaskFormerSwinModel,
														    MaskFormerSwinPreTrainedModel,
														)


else:
							import sys

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