Пример #1
0
    def testCDerivative_beta(self):
        """Make sure the cython code returns the same values as python code."""
        beta = 0.79 #Start with something small

        outputs, timeslots = self.generateRandomTestData(100)
        risk_groups = get_risk_groups(outputs, timeslots)
        #Now get a new set, that won't match this, so beta doesn't diverge
        outputs, rnd_timeslots = self.generateRandomTestData(100)

        risk_outputs = [None for i in xrange(len(timeslots))]
        beta_risk = [np.zeros(len(risk_groups[i])) for i in xrange(len(risk_groups))]
        part_func = np.zeros(len(timeslots))
        weighted_avg = np.zeros(len(timeslots))

        pyget_slope(beta, risk_outputs, beta_risk, part_func, weighted_avg, outputs, timeslots)
        beta_force = get_beta_force(beta, outputs, risk_groups, part_func, weighted_avg)

        for output_index in xrange(len(outputs)):
            cder = cderivative_beta(beta, part_func, weighted_avg, beta_force, output_index, outputs, timeslots, risk_groups)
            pyder = pyderivative_beta(beta, part_func, weighted_avg, beta_force, output_index, outputs, timeslots, risk_groups)
            #print(cder, pyder)
            assert(isinstance(pyder, cder.__class__))
            assert(round(cder, 20) == round(pyder, 20))
            assert(cder == pyder)