



'''simple docstring'''




import cva
import numpy as np






class 		_UpperCamelCase						:


			'''simple docstring'''

			def __init__(							self  :				str							,  lowerCAmelCase__  :				float							,  lowerCAmelCase__  :				int		):





					"""simple docstring"""






					if k in (0.04, 0.06):
							__SCREAMING_SNAKE_CASE :	List[str]					 =	k
							__SCREAMING_SNAKE_CASE :	str					 =	window_size
					else:
							raise ValueError("""invalid k value"""		)

			def __str__(							self  :				Union[str, Any]		):





					"""simple docstring"""






					return str(self.k		)



			def UpperCamelCase__      (							self  :				str							,  lowerCAmelCase__  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Tuple					 =	cva.imread(lowerCAmelCase__							,  0		)
					__SCREAMING_SNAKE_CASE ,		__SCREAMING_SNAKE_CASE :	Tuple					 =	img.shape
					__SCREAMING_SNAKE_CASE :	list[list[int]]					 =	[]
					__SCREAMING_SNAKE_CASE :	Any					 =	img.copy()
					__SCREAMING_SNAKE_CASE :	Tuple					 =	cva.cvtColor(lowerCAmelCase__							,  cva.COLOR_GRAY2RGB		)
					__SCREAMING_SNAKE_CASE ,		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	np.gradient(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	dx**2
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	dy**2
					__SCREAMING_SNAKE_CASE :	str					 =	dx * dy
					__SCREAMING_SNAKE_CASE :	Any					 =	0.04
					__SCREAMING_SNAKE_CASE :	List[Any]					 =	self.window_size // 2
					for y in range(lowerCAmelCase__							,  h - offset		):
							for x in range(lowerCAmelCase__							,  w - offset		):
									__SCREAMING_SNAKE_CASE :	Any					 =	ixx[
									    y - offset : y + offset + 1, x - offset : x + offset + 1
									].sum()
									__SCREAMING_SNAKE_CASE :	Optional[int]					 =	iyy[
									    y - offset : y + offset + 1, x - offset : x + offset + 1
									].sum()
									__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	ixy[
									    y - offset : y + offset + 1, x - offset : x + offset + 1
									].sum()

									__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	(wxx * wyy) - (wxy**2)
									__SCREAMING_SNAKE_CASE :	Dict					 =	wxx + wyy
									__SCREAMING_SNAKE_CASE :	int					 =	det - k * (trace**2)
									# Can change the value
									if r > 0.5:
											corner_list.append([x, y, r]		)
											color_img.itemset((y, x, 0)							,  0		)
											color_img.itemset((y, x, 1)							,  0		)
											color_img.itemset((y, x, 2)							,  2_5_5		)
					return color_img, corner_list


if __name__ == "__main__":
						UpperCamelCase__ :			Tuple												=				HarrisCorner(0.0_4, 3)
						UpperCamelCase__						,UpperCamelCase__ :			List[Any]												=				edge_detect.detect('''path_to_image''')
						cva.imwrite('''detect.png''', color_img)




'''simple docstring'''




import qiskit


def        lowerCAmelCase_     (			_lowerCamelCase:     int = 2      ):
		__SCREAMING_SNAKE_CASE :	Dict					 =	qubits

		# Using Aer's simulator
		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	qiskit.Aer.get_backend("""aer_simulator"""      )

		# Creating a Quantum Circuit acting on the q register
		__SCREAMING_SNAKE_CASE :	str					 =	qiskit.QuantumCircuit(_lowerCamelCase ,   _lowerCamelCase      )

		# Adding a H gate on qubit 0 (now q0 in superposition)
		circuit.h(0      )

		for i in range(1 ,   _lowerCamelCase      ):
				# Adding CX (CNOT) gate
				circuit.cx(i - 1 ,   _lowerCamelCase      )

		# Mapping the quantum measurement to the classical bits
		circuit.measure(list(range(_lowerCamelCase      )      ) ,   list(range(_lowerCamelCase      )      )      )

		# Now measuring any one qubit would affect other qubits to collapse
		# their super position and have same state as the measured one.

		# Executing the circuit on the simulator
		__SCREAMING_SNAKE_CASE :	str					 =	qiskit.execute(_lowerCamelCase ,   _lowerCamelCase ,   shots=10_00      )

		return job.result().get_counts(_lowerCamelCase      )


if __name__ == "__main__":
						print(f"Total count for various states are: {quantum_entanglement(3)}")