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tests: num_grad test for total least squares added.

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Fabian Joswig 2022-10-06 18:09:37 +01:00
parent 58b8383c1a
commit e4d18fc8c8
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1 changed files with 15 additions and 1 deletions
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16
tests/fits_test.py
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@ -83,7 +83,7 @@ def test_least_squares():
assert math.isclose(pcov[i, i], betac[i].dvalue ** 2, abs_tol=1e-3)
def test_fit_num_grad():
def test_least_squares_num_grad():
x = []
y = []
for i in range(2, 5):
@ -97,6 +97,20 @@ def test_fit_num_grad():
assert(num[1] == auto[1])
def test_total_least_squares_num_grad():
x = []
y = []
for i in range(2, 5):
x.append(pe.pseudo_Obs(i * 0.01, 0.0001, "ens"))
y.append(pe.pseudo_Obs(i * 0.01, 0.0001, "ens"))
num = pe.fits.total_least_squares(x, y, lambda a, x: np.exp(a[0] * x) + a[1], num_grad=True)
auto = pe.fits.total_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])
def test_alternative_solvers():
dim = 92
x = np.arange(dim)