
"""simple docstring"""




import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

snake_case					  =						1_8_0

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					SCREAMING_SNAKE_CASE           =      k_size // 2
					SCREAMING_SNAKE_CASE      ,       SCREAMING_SNAKE_CASE           =      np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
					SCREAMING_SNAKE_CASE           =      (
					    1
					    / (2 * np.pi * sigma)
					    * np.exp(-(np.square(SCREAMING_SNAKE_CASE_     ) + np.square(SCREAMING_SNAKE_CASE_     )) / (2 * np.square(SCREAMING_SNAKE_CASE_     ))     )
					)
					return g

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					SCREAMING_SNAKE_CASE           =      np.zeros(SCREAMING_SNAKE_CASE_     )

					for row in range(1,	image_shape[0] - 1     ):
										for col in range(1,	image_shape[1] - 1     ):
															SCREAMING_SNAKE_CASE           =      gradient_direction[row, col]

															if (
															    0 <= direction < PI / 8
															    or 1_5 * PI / 8 <= direction <= 2 * PI
															    or 7 * PI / 8 <= direction <= 9 * PI / 8
															):
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row, col - 1]
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row, col + 1]
																				if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
																									SCREAMING_SNAKE_CASE           =      sobel_grad[row, col]

															elif (
															    PI / 8 <= direction < 3 * PI / 8
															    or 9 * PI / 8 <= direction < 1_1 * PI / 8
															):
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row + 1, col - 1]
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row - 1, col + 1]
																				if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
																									SCREAMING_SNAKE_CASE           =      sobel_grad[row, col]

															elif (
															    3 * PI / 8 <= direction < 5 * PI / 8
															    or 1_1 * PI / 8 <= direction < 1_3 * PI / 8
															):
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row - 1, col]
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row + 1, col]
																				if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
																									SCREAMING_SNAKE_CASE           =      sobel_grad[row, col]

															elif (
															    5 * PI / 8 <= direction < 7 * PI / 8
															    or 1_3 * PI / 8 <= direction < 1_5 * PI / 8
															):
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row - 1, col - 1]
																				SCREAMING_SNAKE_CASE           =      sobel_grad[row + 1, col + 1]
																				if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
																									SCREAMING_SNAKE_CASE           =      sobel_grad[row, col]

					return destination

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					for row in range(1,	image_shape[0] - 1     ):
										for col in range(1,	image_shape[1] - 1     ):
															if destination[row, col] >= threshold_high:
																				SCREAMING_SNAKE_CASE           =      strong
															elif destination[row, col] <= threshold_low:
																				SCREAMING_SNAKE_CASE           =      0
															else:
																				SCREAMING_SNAKE_CASE           =      weak

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     ):
					for row in range(1,	image_shape[0]     ):
										for col in range(1,	image_shape[1]     ):
															if destination[row, col] == weak:
																				if 2_5_5 in (
																				    destination[row, col + 1],
																				    destination[row, col - 1],
																				    destination[row - 1, col],
																				    destination[row + 1, col],
																				    destination[row - 1, col - 1],
																				    destination[row + 1, col - 1],
																				    destination[row - 1, col + 1],
																				    destination[row + 1, col + 1],
																				):
																									SCREAMING_SNAKE_CASE           =      strong
																				else:
																									SCREAMING_SNAKE_CASE           =      0

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_=1_5,	SCREAMING_SNAKE_CASE_=3_0,	SCREAMING_SNAKE_CASE_=1_2_8,	SCREAMING_SNAKE_CASE_=2_5_5     ):
					# gaussian_filter
					SCREAMING_SNAKE_CASE           =      img_convolve(SCREAMING_SNAKE_CASE_,	gen_gaussian_kernel(9,	sigma=1.4     )     )
					# get the gradient and degree by sobel_filter
					SCREAMING_SNAKE_CASE      ,       SCREAMING_SNAKE_CASE           =      sobel_filter(SCREAMING_SNAKE_CASE_     )
					SCREAMING_SNAKE_CASE           =      PI + np.radadeg(SCREAMING_SNAKE_CASE_     )

					SCREAMING_SNAKE_CASE           =      suppress_non_maximum(image.shape,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     )

					detect_high_low_threshold(
					    image.shape,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     )

					track_edge(image.shape,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     )

					return destination


if __name__ == "__main__":
	# read original image in gray mode
	snake_case					  =						cva.imread(R'../image_data/lena.jpg', 0)
	# canny edge detection
	snake_case					  =						canny(lena)
	cva.imshow('canny', canny_destination)
	cva.waitKey(0)


"""simple docstring"""




import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute

def     UpperCamelCase_    (						SCREAMING_SNAKE_CASE_ = np.pi / 2,	SCREAMING_SNAKE_CASE_ = np.pi / 2,	SCREAMING_SNAKE_CASE_ = np.pi / 2     ):
					SCREAMING_SNAKE_CASE           =      QuantumRegister(3,	'qr'     )  # Define the number of quantum bits
					SCREAMING_SNAKE_CASE           =      ClassicalRegister(1,	'cr'     )  # Define the number of classical bits

					SCREAMING_SNAKE_CASE           =      QuantumCircuit(SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_     )  # Define the quantum circuit.

					# Build the circuit
					quantum_circuit.u(SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	0     )  # Quantum State to teleport
					quantum_circuit.h(1     )  # add hadamard gate
					quantum_circuit.cx(
					    1,	2     )  # add control gate with qubit 1 as control and 2 as target.
					quantum_circuit.cx(0,	1     )
					quantum_circuit.h(0     )
					quantum_circuit.cz(0,	2     )  # add control z gate.
					quantum_circuit.cx(1,	2     )

					quantum_circuit.measure([2],	[0]     )  # measure the qubit.

					# Simulate the circuit using qasm simulator
					SCREAMING_SNAKE_CASE           =      Aer.get_backend('aer_simulator'     )
					SCREAMING_SNAKE_CASE           =      execute(SCREAMING_SNAKE_CASE_,	SCREAMING_SNAKE_CASE_,	shots=1_0_0_0     )

					return job.result().get_counts(SCREAMING_SNAKE_CASE_     )


if __name__ == "__main__":
	print(
	    'Total count for teleported state is: '
	    f'{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'
	)
