import cva
import numpy as np




class    _UpperCamelCase      :


			"""simple docstring"""






			def __init__(   self      ,   lowerCAmelCase__      ,   lowerCAmelCase__						)     ->					Any:

							'''simple docstring'''


							if k in (0.04, 0.06):
											__lowercase 			=							k
											__lowercase 			=							window_size
							else:
											raise ValueError('''invalid k value'''						)





			def __str__(   self						)     ->					str:

							'''simple docstring'''


							return str(self.k						)





			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__						)     ->					tuple[cva.Mat, list[list[int]]]:

							'''simple docstring'''


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

															__lowercase 			=							(wxx * wyy) - (wxy**2)
															__lowercase 			=							wxx + wyy
															__lowercase 			=							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__":
		__a  :     Optional[Any]       =  HarrisCorner(0.04, 3)
		__a    ,						__a  :     Optional[Any]       =  edge_detect.detect("""path_to_image""")
		cva.imwrite("""detect.png""", color_img)
import qiskit





def 				UpperCAmelCase						(    lowercase							,			lowercase							):







				"""simple docstring"""



				__lowercase 			=							qiskit.Aer.get_backend('''aer_simulator'''							)

				# Create a Quantum Circuit acting on the q register
				__lowercase 			=							qiskit.QuantumCircuit(lowercase							,			lowercase							)

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

				# Execute the circuit on the simulator
				__lowercase 			=							qiskit.execute(lowercase							,			lowercase							,			shots=1000							)

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


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