






import cva
import numpy as np


class   __SCREAMING_SNAKE_CASE:
							def __init__(     self:      Dict       ,	UpperCamelCase:      float       ,	UpperCamelCase:      int						)		->		List[Any]:

											if k in (0.04, 0.06):
															snake_case__									=     k
															snake_case__									=     window_size
											else:
															raise ValueError('invalid k value'						)
							def __str__(     self:      Optional[Any]						)		->		str:
											return str(self.k						)


							def lowerCAmelCase_ (     self:      Tuple       ,	UpperCamelCase:      str						)		->		tuple[cva.Mat, list[list[int]]]:
											snake_case__									=     cva.imread(UpperCamelCase       ,	0						)
											snake_case__							,						snake_case__									=     img.shape
											snake_case__									=     []
											snake_case__									=     img.copy()
											snake_case__									=     cva.cvtColor(UpperCamelCase       ,	cva.COLOR_GRAY2RGB						)
											snake_case__							,						snake_case__									=     np.gradient(UpperCamelCase						)
											snake_case__									=     dx**2
											snake_case__									=     dy**2
											snake_case__									=     dx * dy
											snake_case__									=     0.04
											snake_case__									=     self.window_size // 2
											for y in range(UpperCamelCase       ,	h - offset						):
															for x in range(UpperCamelCase       ,	w - offset						):
																			snake_case__									=     ixx[
																			    y - offset : y + offset + 1, x - offset : x + offset + 1
																			].sum()
																			snake_case__									=     iyy[
																			    y - offset : y + offset + 1, x - offset : x + offset + 1
																			].sum()
																			snake_case__									=     ixy[
																			    y - offset : y + offset + 1, x - offset : x + offset + 1
																			].sum()

																			snake_case__									=     (wxx * wyy) - (wxy**2)
																			snake_case__									=     wxx + wyy
																			snake_case__									=     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_55						)
											return color_img, corner_list


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












import qiskit
def      a_ (      _A = 2  )			->			qiskit.result.counts.Counts:







				"""simple docstring"""
				snake_case__									=     qubits

				# Using Aer's simulator
				snake_case__									=     qiskit.Aer.get_backend('aer_simulator'  )

				# Creating a Quantum Circuit acting on the q register
				snake_case__									=     qiskit.QuantumCircuit(_A      ,   _A  )

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

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

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

				# 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
				snake_case__									=     qiskit.execute(_A      ,   _A      ,   shots=1000  )

				return job.result().get_counts(_A  )


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




