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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(self,pt0,pt1):
 """ get the covarince between two points implied by Vario2d Parameters pt0 : (iterable of len 2) first point x and y pt1 : (iterable of len 2) second point x and y Returns ------- cov : float covariance between pt0 and pt1 """


        x = np.array([pt0[0],pt1[0]])
        y = np.array([pt0[1],pt1[1]])
        names = ["n1","n2"]
        return self.covariance_matrix(x,y,names=names).x[0,1]