def get_mean_DRAT(self):
mean_DRAT, mean_DRAT_prime = lib_ptrm.get_mean_DRAT(
self.pars['sum_ptrm_checks'], self.pars['sum_abs_ptrm_checks'],
self.pars['n_ptrm'], self.pars['length_best_fit_line'])
self.pars['mean_DRAT'] = mean_DRAT
self.pars['mean_DRAT_prime'] = mean_DRAT_prime
return mean_DRAT, mean_DRAT_prime
def test_mean_DRAT(self):
# (1 / nPTRM) * (ref_sum_ptrm_check / L) = 1/4 * 1/ numpy.sqrt(25 + 64)
# (1 / nPTRM) * (ref_abs_sum_ptrm_check / L)
#ref_L = numpy.sqrt(25 + 64)
# ref_sum_ptrm_check = abs(-1.)
# ref_sum_abs_ptrm_check = 5.
# ref_n = 4
ref_mean_DRAT = 0.026499947000159001 * 100.
ref_mean_DRAT_prime = 0.13249973500079501 * 100.
mean_DRAT, mean_DRAT_prime = lib_ptrm.get_mean_DRAT(self.ref_sum_ptrm_check, self.ref_sum_abs_ptrm_check, self.ref_n, self.ref_L)
self.assertAlmostEqual(ref_mean_DRAT, mean_DRAT)
self.assertAlmostEqual(ref_mean_DRAT_prime, mean_DRAT_prime)
def test_mean_DRAT(self):
# (1 / nPTRM) * (ref_sum_ptrm_check / L) = 1/4 * 1/ numpy.sqrt(25 + 64)
# (1 / nPTRM) * (ref_abs_sum_ptrm_check / L)
#ref_L = numpy.sqrt(25 + 64)
# ref_sum_ptrm_check = abs(-1.)
# ref_sum_abs_ptrm_check = 5.
# ref_n = 4
ref_mean_DRAT = 0.026499947000159001 * 100.
ref_mean_DRAT_prime = 0.13249973500079501 * 100.
mean_DRAT, mean_DRAT_prime = lib_ptrm.get_mean_DRAT(self.ref_sum_ptrm_check, self.ref_sum_abs_ptrm_check, self.ref_n, self.ref_L)
self.assertAlmostEqual(ref_mean_DRAT, mean_DRAT)
self.assertAlmostEqual(ref_mean_DRAT_prime, mean_DRAT_prime)
def get_mean_DRAT(self):
mean_DRAT, mean_DRAT_prime = lib_ptrm.get_mean_DRAT(self.pars['sum_ptrm_checks'], self.pars['sum_abs_ptrm_checks'],
self.pars['n_ptrm'], self.pars['length_best_fit_line'])
self.pars['mean_DRAT'] = mean_DRAT
self.pars['mean_DRAT_prime'] = mean_DRAT_prime
return mean_DRAT, mean_DRAT_prime
