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Fit_result gammma_method, str and repr added

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This commit is contained in:
Fabian Joswig 2021-10-31 12:00:26 +00:00
parent 4ceb35992e
commit d63c749a17
2 changed files with 41 additions and 22 deletions
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10
tests/fits_test.py
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@ -27,7 +27,8 @@ def test_standard_fit():
y = a[0] * np.exp(-a[1] * x)
return y
beta = pe.fits.standard_fit(x, oy, func)
out = pe.fits.standard_fit(x, oy, func)
beta = out.fit_parameters
pe.Obs.e_tag_global = 5
for i in range(2):
@ -70,7 +71,8 @@ def test_odr_fit():
odr.set_job(fit_type=0, deriv=1)
output = odr.run()
beta = pe.fits.odr_fit(ox, oy, func)
out = pe.fits.odr_fit(ox, oy, func)
beta = out.fit_parameters
pe.Obs.e_tag_global = 5
for i in range(2):
@ -95,8 +97,8 @@ def test_odr_derivatives():
def func(a, x):
return a[0] + a[1] * x ** 2
fit1 = pe.fits.odr_fit(x, y, func)
out = pe.fits.odr_fit(x, y, func)
fit1 = out.fit_parameters
tfit = pe.fits.fit_general(x, y, func, base_step=0.1, step_ratio=1.1, num_steps=20)
assert np.abs(np.max(np.array(list(fit1[1].deltas.values()))