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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def covariance_points(self,x0,y0,xother,yother):
 """ Get the covariance between point x0,y0 and the points contained in xother, yother. Parameters x0 : (float) x-coordinate y0 : (float) y-coordinate xother : (iterable of floats) x-coordinate of other points yother : (iterable of floats) y-coordinate of other points Returns ------- cov : numpy.ndarray a 1-D array of covariance between point x0,y0 and the points contained in xother, yother. len(cov) = len(xother) = len(yother) """


        cov = np.zeros((len(xother))) + self.nugget
        for v in self.variograms:
            cov += v.covariance_points(x0,y0,xother,yother)
        return cov