



'''simple docstring'''

import math
import sys

import cva
import numpy as np







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase					)				->					np.ndarray:





			"""simple docstring"""







			snake_case:    Dict      							=math.sqrt(__UpperCAmelCase					)
			snake_case:    List[Any]      							=1 / (sigma * math.sqrt(2 * math.pi					))
			return cons * np.exp(-((img / sigma) ** 2) * 0.5					)







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase					)				->					np.ndarray:





			"""simple docstring"""







			snake_case:    Optional[int]      							=kernel_size // 2
			return img[x - half : x + half + 1, y - half : y + half + 1]







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase					)				->					np.ndarray:





			"""simple docstring"""







			snake_case:    List[Any]      							=np.zeros((kernel_size, kernel_size)					)
			for i in range(0				,							__UpperCAmelCase					):
						for j in range(0				,							__UpperCAmelCase					):
									snake_case:    Optional[int]      							=math.sqrt(
									    abs(i - kernel_size // 2					) ** 2 + abs(j - kernel_size // 2					) ** 2					)
			return vec_gaussian(__UpperCAmelCase				,							__UpperCAmelCase					)







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase				,							)				->					np.ndarray:





			"""simple docstring"""







			snake_case:    str      							=np.zeros(img.shape					)
			snake_case:    int      							=get_gauss_kernel(__UpperCAmelCase				,							__UpperCAmelCase					)
			snake_case							,  snake_case:    Union[str, Any]      							=img.shape
			for i in range(kernel_size // 2				,							size_x - kernel_size // 2					):
						for j in range(kernel_size // 2				,							size_y - kernel_size // 2					):
									snake_case:    Optional[Any]      							=get_slice(__UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase				,							__UpperCAmelCase					)
									snake_case:    str      							=img_s - img_s[kernel_size // 2, kernel_size // 2]
									snake_case:    int      							=vec_gaussian(__UpperCAmelCase				,							__UpperCAmelCase					)
									snake_case:    Any      							=np.multiply(__UpperCAmelCase				,							__UpperCAmelCase					)
									snake_case:    List[str]      							=np.multiply(__UpperCAmelCase				,							__UpperCAmelCase					)
									snake_case:    Optional[int]      							=np.sum(__UpperCAmelCase					) / np.sum(__UpperCAmelCase					)
									snake_case:    Optional[Any]      							=val
			return imga







def a_     (    __UpperCAmelCase					)				->					tuple:





			"""simple docstring"""







			snake_case:    Union[str, Any]      							=args[1] if args[1:] else '../image_data/lena.jpg'
			snake_case:    int      							=float(args[2]					) if args[2:] else 1.0
			snake_case:    int      							=float(args[3]					) if args[3:] else 1.0
			if args[4:]:
						snake_case:    Tuple      							=int(args[4]					)
						snake_case:    Tuple      							=kernel_size + abs(kernel_size % 2 - 1					)
			else:
						snake_case:    Optional[int]      							=5
			return filename, spatial_variance, intensity_variance, kernel_size


if __name__ == "__main__":
	a   ,      a   ,      a   ,      a							   =				parse_args(sys.argv)
	a							   =				cva.imread(filename, 0)
	cva.imshow('input image', img)

	a							   =				img / 255
	a							   =				out.astype('float32')
	a							   =				bilateral_filter(out, spatial_variance, intensity_variance, kernel_size)
	a							   =				out * 255
	a							   =				np.uinta(out)
	cva.imshow('output image', out)
	cva.waitKey(0)
	cva.destroyAllWindows()









'''simple docstring'''

import qiskit







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase					)				->					qiskit.result.counts.Counts:





			"""simple docstring"""







			snake_case:    Union[str, Any]      							=qiskit.Aer.get_backend('aer_simulator'					)

			# Create a Quantum Circuit acting on the q register
			snake_case:    Dict      							=qiskit.QuantumCircuit(__UpperCAmelCase				,							__UpperCAmelCase					)

			# Map the quantum measurement to the classical bits
			circuit.measure([0]				,							[0]					)

			# Execute the circuit on the simulator
			snake_case:    Dict      							=qiskit.execute(__UpperCAmelCase				,							__UpperCAmelCase				,							shots=10_00					)

			# Return the histogram data of the results of the experiment.
			return job.result().get_counts(__UpperCAmelCase					)


if __name__ == "__main__":
	print(F"""Total count for various states are: {single_qubit_measure(1, 1)}""")




