

import math

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


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__ = 3			):
						if isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
												raise TypeError('''number of qubits must be a integer.'''			)
						if number_of_qubits <= 0:
												raise ValueError('''number of qubits must be > 0.'''			)
						if math.floor(SCREAMING_SNAKE_CASE__			) != number_of_qubits:
												raise ValueError('''number of qubits must be exact integer.'''			)
						if number_of_qubits > 10:
												raise ValueError('''number of qubits too large to simulate(>10).'''			)

						snake_case_  =      QuantumRegister(SCREAMING_SNAKE_CASE__    ,						'''qr'''			)
						snake_case_  =      ClassicalRegister(SCREAMING_SNAKE_CASE__    ,						'''cr'''			)

						snake_case_  =      QuantumCircuit(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)

						snake_case_  =      number_of_qubits

						for i in range(SCREAMING_SNAKE_CASE__			):
												quantum_circuit.h(number_of_qubits - i - 1			)
												counter -= 1
												for j in range(SCREAMING_SNAKE_CASE__			):
																		quantum_circuit.cp(np.pi / 2 ** (counter - j)    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)

						for k in range(number_of_qubits // 2			):
												quantum_circuit.swap(SCREAMING_SNAKE_CASE__    ,						number_of_qubits - k - 1			)

						# measure all the qubits
						quantum_circuit.measure(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)
						# simulate with 10000 shots
						snake_case_  =      Aer.get_backend('''qasm_simulator'''			)
						snake_case_  =      execute(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						shots=10000			)

						return job.result().get_counts(SCREAMING_SNAKE_CASE__			)


if __name__ == "__main__":
					print(
					    f"""Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}"""
					)






'''simple docstring'''






import cva
import numpy as np




class  _A :

		def __init__(   self					:   Any  ,      __magic_name__					:   float  ,      __magic_name__					:   int			)					->    Optional[int]:


					"""simple docstring"""

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

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


					"""simple docstring"""

					return str(self.k			)

		def 	lowercase__     (   self					:   Dict  ,      __magic_name__					:   str			)					->    tuple[cva.Mat, list[list[int]]]:


					"""simple docstring"""

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

											__snake_case					:      List[str]							      =     (wxx * wyy) - (wxy**2)
											__snake_case					:      Dict							      =     wxx + wyy
											__snake_case					:      List[str]							      =     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					    =	HarrisCorner(0.04, 3)
	__UpperCamelCase    ,		__UpperCamelCase					    =	edge_detect.detect("path_to_image")
	cva.imwrite("detect.png", color_img)


