dimidagd

from typing import Any
import numpy as np
from nptyping import NDArray
def main(name):
    # Use a breakpoint in the code line below to debug your script.
    print(f'Hi, {name}')  # Press Ctrl+F8 to toggle the breakpoint.
    f: NDArray[(3, 3), Any] = lambda A, f: A ** f
    ak = 3
    n = 2

dimidagd

kernel = (5,5)
        self.img = cv2.blur(self.img, kernel)
        # Polar blur
        polar_img = cv2.blur(cv2.linearPolar(self.img.copy(), (self.imgWidth/2,self.imgHeight/2), self.imgHeight/2, cv2.WARP_POLAR_LINEAR+cv2.WARP_FILL_OUTLIERS), kernel)
        cart_img = cv2.linearPolar(polar_img.copy(), (self.imgHeight/2,self.imgWidth/2), self.imgHeight/2, cv2.WARP_INVERSE_MAP+cv2.WARP_POLAR_LINEAR+cv2.WARP_FILL_OUTLIERS)
        self.img = cart_img

dimidagd

import random, sys

################################################################################

# the x and y in our function (x - y + 7) (aka. dimensions)
number_of_variables = 3
# the minimum possible value a pose difference can have
min_values = [-10, -10, -3.14/2]

dimidagd

#!/usr/bin/env python

################################################################################
# File name: pso.py                                                            #
# Description: A module that solves a minimization problem using PSO           #
#------------------------------------------------------------------------------#
# Author: Hussein S. Al-Olimat                                                 #
# Email: hussein@knoesis.org                                                   #
#------------------------------------------------------------------------------#
# Date-last-modified: Nov 7, 2016                                              #