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tests: num_grad fit test improved.

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Fabian Joswig 2022-10-06 17:55:04 +01:00
parent b84ea1cc3b
commit 8cf15b651f
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1 changed files with 2 additions and 2 deletions
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tests/fits_test.py
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@ -90,8 +90,8 @@ def test_fit_num_grad():
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: a[0] * np.exp(x) + a[1], num_grad=True)
auto = pe.fits.least_squares(x, y, lambda a, x: a[0] * anp.exp(x) + a[1], num_grad=False)
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])