


'''simple docstring'''


from __future__ import annotations






def  __lowerCAmelCase (__lowerCAmelCase      , __lowerCAmelCase   ):
		_UpperCAmelCase		:       List[str]								=      sorted(numsa + numsa   )
		_UpperCAmelCase		:       Dict								=      divmod(len(__UpperCamelCase   )      , 2   )
		if mod == 1:
				return all_numbers[div]
		else:
				return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						lowerCamelCase__    	=     [float(x) for x in input('Enter the elements of first array: ').split()]
						lowerCamelCase__    	=     [float(x) for x in input('Enter the elements of second array: ').split()]
						print(F'''The median of two arrays is: {median_of_two_arrays(array_a, array_a)}''')







'''simple docstring'''


from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
						if not (is_transformers_available() and is_torch_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
						from .multicontrolnet import MultiControlNetModel
						from .pipeline_controlnet import StableDiffusionControlNetPipeline
						from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
						from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
						from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline



