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tests: tests for num_grad version of prior fits added.

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Fabian Joswig 2022-10-07 18:02:27 +01:00
parent 89125c91e2
commit f5c9a30266
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29
tests/fits_test.py
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@ -97,6 +97,35 @@ def test_least_squares_num_grad():
assert(num[1] == auto[1])
def test_prior_fit_num_grad():
x = []
y = []
for i in range(2, 5):
x.append(i * 0.01)
y.append(pe.pseudo_Obs(i * 0.01, 0.0001, "ens"))
num = pe.fits.least_squares(x, y, lambda a, x: np.exp(a[0] * x) + a[1], num_grad=True, priors=y[:2])
auto = pe.fits.least_squares(x, y, lambda a, x: anp.exp(a[0] * x) + a[1], num_grad=False, piors=y[:2])
def test_least_squares_num_grad():
x = []
y = []
for i in range(2, 5):
x.append(i * 0.01)
y.append(pe.pseudo_Obs(i * 0.01, 0.0001, "ens"))
num = pe.fits.least_squares(x, y, lambda a, x: np.exp(a[0] * x) + a[1], num_grad=True)
auto = pe.fits.least_squares(x, y, lambda a, x: anp.exp(a[0] * x) + a[1], num_grad=False)
assert(num[0] == auto[0])
assert(num[1] == auto[1])
assert(num[0] == auto[0])
assert(num[1] == auto[1])
def test_total_least_squares_num_grad():
x = []
y = []