


import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey
def 							__lowerCamelCase		(					UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int		):




      """simple docstring"""





      if (ksize % 2) == 0:
            a		:int									=			ksize + 1
      a		:int									=			np.zeros((ksize, ksize)					,    dtype=np.floataa		)

      # each value
      for y in range(UpperCAmelCase_		):
            for x in range(UpperCAmelCase_		):
                  # distance from center
                  a		:List[Any]									=			x - ksize // 2
                  a		:Optional[Any]									=			y - ksize // 2

                  # degree to radiant
                  a		:str									=			theta / 180 * np.pi
                  a		:Any									=			np.cos(_theta		)
                  a		:int									=			np.sin(_theta		)

                  # get kernel x
                  a		:Optional[Any]									=			cos_theta * px + sin_theta * py

                  # get kernel y
                  a		:List[str]									=			-sin_theta * px + cos_theta * py

                  # fill kernel
                  a		:List[str]									=			np.exp(
                      -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)		) * np.cos(2 * np.pi * _x / lambd + psi		)

      return gabor


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     # read original image
     snake_case							:       Optional[Any]										=	imread('''../image_data/lena.jpg''')
     # turn image in gray scale value
     snake_case							:       Any										=	cvtColor(img, COLOR_BGR2GRAY)

     # Apply multiple Kernel to detect edges
     snake_case							:       Tuple										=	np.zeros(gray.shape[:2])
     for theta in [0, 30, 60, 90, 1_20, 1_50]:
          snake_case							:       Optional[Any]										=	gabor_filter_kernel(10, 8, theta, 10, 0, 0)
          out += filteraD(gray, CV_8UC3, kernel_aa)
     snake_case							:       Tuple										=	out / out.max() * 2_55
     snake_case							:       Optional[Any]										=	out.astype(np.uinta)

     imshow('''Original''', gray)
     imshow('''Gabor filter with 20x20 mask and 6 directions''', out)

     waitKey(0)









import qiskit
def 							__lowerCamelCase		(					UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						int		):




      """simple docstring"""





      a		:Tuple									=			qiskit.Aer.get_backend('''aer_simulator'''		)

      # Create a Quantum Circuit acting on the q register
      a		:str									=			qiskit.QuantumCircuit(UpperCAmelCase_					,    UpperCAmelCase_		)

      # Apply X (NOT) Gate to Qubits 0 & 1
      circuit.x(0		)
      circuit.x(1		)

      # Map the quantum measurement to the classical bits
      circuit.measure([0, 1]					,    [0, 1]		)

      # Execute the circuit on the qasm simulator
      a		:Optional[Any]									=			qiskit.execute(UpperCAmelCase_					,    UpperCAmelCase_					,    shots=1000		)

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


if __name__ == "__main__":
     snake_case							:       Any										=	single_qubit_measure(2, 2)
     print(F"""Total count for various states are: {counts}""")





