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refactor: unnecessary keywords for call to numdifftools removed, test

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against numerical differentiation made stricter.
This commit is contained in:
Fabian Joswig 2022-02-07 14:51:25 +00:00
parent a97d0c31a6
commit 6971e8cd9b
2 changed files with 2 additions and 9 deletions
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9
pyerrors/obs.py
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@ -1123,14 +1123,7 @@ def derived_observable(func, data, array_mode=False, **kwargs):
raise Exception('Multi mode currently not supported for numerical derivative') raise Exception('Multi mode currently not supported for numerical derivative')
options = { options = {
'base_step': 0.1, 'base_step': 0.1,
'step_ratio': 2.5, 'step_ratio': 2.5}
'num_steps': None,
'step_nom': None,
'offset': None,
'num_extrap': None,
'use_exact_steps': None,
'check_num_steps': None,
'scale': None}
for key in options.keys(): for key in options.keys():
kwarg = kwargs.get(key) kwarg = kwargs.get(key)
if kwarg is not None: if kwarg is not None:

2
tests/obs_test.py
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@ -304,7 +304,7 @@ def test_derived_observables():
d_Obs_fd = pe.derived_observable(lambda x, **kwargs: x[0] * x[1] * np.sin(x[0] * x[1]), [test_obs, test_obs], num_grad=True) d_Obs_fd = pe.derived_observable(lambda x, **kwargs: x[0] * x[1] * np.sin(x[0] * x[1]), [test_obs, test_obs], num_grad=True)
d_Obs_fd.gamma_method() d_Obs_fd.gamma_method()
assert d_Obs_ad.value == d_Obs_fd.value assert d_Obs_ad == d_Obs_fd
assert np.abs(4.0 * np.sin(4.0) - d_Obs_ad.value) < 1000 * np.finfo(np.float64).eps * np.abs(d_Obs_ad.value) assert np.abs(4.0 * np.sin(4.0) - d_Obs_ad.value) < 1000 * np.finfo(np.float64).eps * np.abs(d_Obs_ad.value)
assert np.abs(d_Obs_ad.dvalue-d_Obs_fd.dvalue) < 1000 * np.finfo(np.float64).eps * d_Obs_ad.dvalue assert np.abs(d_Obs_ad.dvalue-d_Obs_fd.dvalue) < 1000 * np.finfo(np.float64).eps * d_Obs_ad.dvalue