def test_calculation():
chargeres = ChargeResolutionCalculator()
measured = np.array([3.5, 2.7])
true = 3
n = measured.size
sum_ = np.sum(np.power(measured - true, 2))
assert_almost_equal(sum_, 0.34, 3)
assert_almost_equal(chargeres.rmse_abs(sum_, n), 0.412, 3)
assert_almost_equal(chargeres.rmse(true, sum_, n), 0.137, 3)
assert_almost_equal(chargeres.charge_res_abs(true, sum_, n), 1.780, 3)
assert_almost_equal(chargeres.charge_res(true, sum_, n), 0.593, 3)
assert chargeres.rmse_abs(sum_, n) == chargeres.rmse(true, sum_, n) * true
assert (chargeres.charge_res_abs(true, sum_, n) ==
chargeres.charge_res(true, sum_, n) * true)
def test_calculation():
chargeres = ChargeResolutionCalculator()
measured = np.array([3.5, 2.7])
true = 3
n = measured.size
sum_ = np.sum(np.power(measured - true, 2))
assert_almost_equal(sum_, 0.34, 3)
assert_almost_equal(chargeres.rmse_abs(sum_, n), 0.412, 3)
assert_almost_equal(chargeres.rmse(true, sum_, n), 0.137, 3)
assert_almost_equal(chargeres.charge_res_abs(true, sum_, n), 1.780, 3)
assert_almost_equal(chargeres.charge_res(true, sum_, n), 0.593, 3)
assert chargeres.rmse_abs(sum_, n) == chargeres.rmse(true, sum_, n) * true
assert (chargeres.charge_res_abs(
true, sum_, n) == chargeres.charge_res(true, sum_, n) * true)
def test_result():
chargeres = ChargeResolutionCalculator(mc_true=False)
measured = np.array([3.5, 2.7])
true = 3
n = measured.size
sum_ = np.sum(np.power(measured - true, 2))
chargeres.add(0, true, measured)
df_p, df_c = chargeres.finish()
assert (df_p['charge_resolution'].values[0] ==
chargeres.rmse(true, sum_, n))
assert (df_p['charge_resolution_abs'].values[0] ==
chargeres.rmse_abs(sum_, n))
def test_result():
chargeres = ChargeResolutionCalculator(mc_true=False)
measured = np.array([3.5, 2.7])
true = 3
n = measured.size
sum_ = np.sum(np.power(measured - true, 2))
chargeres.add(0, true, measured)
df_p, df_c = chargeres.finish()
assert (df_p['charge_resolution'].values[0] == chargeres.rmse(
true, sum_, n))
assert (df_p['charge_resolution_abs'].values[0] == chargeres.rmse_abs(
sum_, n))
def test_result():
charge_res = ChargeResolutionCalculator(mc_true=False)
measured = np.array([3.5, 2.7])
true = 3
n = measured.size
sum_ = np.sum((measured - true)**2)
charge_res.add(0, true, measured)
df_p, df_c = charge_res.finish()
resolution = df_p["charge_resolution"].values[0]
assert resolution == charge_res.rmse(true, sum_, n)
resolution_abs = df_p["charge_resolution_abs"].values[0]
assert resolution_abs == charge_res.rmse_abs(sum_, n)
