mirror of
https://github.com/fjosw/pyerrors.git
synced 2025-03-16 15:20:24 +01:00
Merge branch 'develop' into documentation
This commit is contained in:
commit
35c1260d15
5 changed files with 71 additions and 5 deletions
|
@ -20,14 +20,15 @@ Please add docstrings to any new function, class or method you implement. The do
|
|||
|
||||
### Tests
|
||||
When implementing a new feature or fixing a bug please add meaningful tests to the files in the `tests` directory which cover the new code.
|
||||
|
||||
### Continous integration
|
||||
For all pull requests tests are executed for the most recent python releases via
|
||||
```
|
||||
pytest --cov=pyerrors -vv
|
||||
```
|
||||
requiring `pytest`, `pytest-cov` and `pytest-benchmark`
|
||||
and the linter `flake8` is executed with the command
|
||||
requiring `pytest`, `pytest-cov` and `pytest-benchmark`. To get a coverage report in html run
|
||||
```
|
||||
pytest --cov=pyerrors --cov-report html
|
||||
```
|
||||
The linter `flake8` is executed with the command
|
||||
```
|
||||
flake8 --ignore=E501,E722 --exclude=__init__.py pyerrors
|
||||
```
|
||||
|
|
|
@ -402,7 +402,7 @@ def _prior_fit(x, y, func, priors, silent=False, **kwargs):
|
|||
if not silent:
|
||||
print('chisquare/d.o.f.:', output.chisquare_by_dof)
|
||||
|
||||
if not m.get_fmin().is_valid:
|
||||
if not m.fmin.is_valid:
|
||||
raise Exception('The minimization procedure did not converge.')
|
||||
|
||||
hess_inv = np.linalg.pinv(jacobian(jacobian(chisqfunc))(params))
|
||||
|
|
|
@ -62,6 +62,9 @@ def test_covobs_name_collision():
|
|||
my_obs = pe.pseudo_Obs(2.3, 0.2, 'test')
|
||||
with pytest.raises(Exception):
|
||||
summed_obs = my_obs + covobs
|
||||
covobs2 = pe.cov_Obs(0.3, 0.001, 'test')
|
||||
with pytest.raises(Exception):
|
||||
summed_obs = covobs + covobs2
|
||||
|
||||
|
||||
def test_covobs_replica_separator():
|
||||
|
|
|
@ -10,3 +10,25 @@ def test_gamma_matrices():
|
|||
assert np.allclose(matrix @ matrix, np.identity(4))
|
||||
assert np.allclose(matrix, matrix.T.conj())
|
||||
assert np.allclose(pe.dirac.gamma5, pe.dirac.gamma[0] @ pe.dirac.gamma[1] @ pe.dirac.gamma[2] @ pe.dirac.gamma[3])
|
||||
|
||||
|
||||
def test_grid_dirac():
|
||||
for gamma in ['Identity',
|
||||
'Gamma5',
|
||||
'GammaX',
|
||||
'GammaY',
|
||||
'GammaZ',
|
||||
'GammaT',
|
||||
'GammaXGamma5',
|
||||
'GammaYGamma5',
|
||||
'GammaZGamma5',
|
||||
'GammaTGamma5',
|
||||
'SigmaXT',
|
||||
'SigmaXY',
|
||||
'SigmaXZ',
|
||||
'SigmaYT',
|
||||
'SigmaYZ',
|
||||
'SigmaZT']:
|
||||
pe.dirac.Grid_gamma(gamma)
|
||||
with pytest.raises(Exception):
|
||||
pe.dirac.Grid_gamma('Not a gamma matrix')
|
||||
|
|
|
@ -9,6 +9,43 @@ import pytest
|
|||
np.random.seed(0)
|
||||
|
||||
|
||||
def test_Obs_exceptions():
|
||||
with pytest.raises(Exception):
|
||||
pe.Obs([np.random.rand(10)], ['1', '2'])
|
||||
with pytest.raises(Exception):
|
||||
pe.Obs([np.random.rand(10)], ['1'], idl=[])
|
||||
with pytest.raises(Exception):
|
||||
pe.Obs([np.random.rand(10), np.random.rand(10)], ['1', '1'])
|
||||
with pytest.raises(Exception):
|
||||
pe.Obs([np.random.rand(10), np.random.rand(10)], ['1', 1])
|
||||
with pytest.raises(Exception):
|
||||
pe.Obs([np.random.rand(10)], [1])
|
||||
with pytest.raises(Exception):
|
||||
pe.Obs([np.random.rand(4)], ['name'])
|
||||
|
||||
my_obs = pe.Obs([np.random.rand(6)], ['name'])
|
||||
my_obs._value = 0.0
|
||||
my_obs.details()
|
||||
with pytest.raises(Exception):
|
||||
my_obs.plot_tauint()
|
||||
with pytest.raises(Exception):
|
||||
my_obs.plot_rho()
|
||||
with pytest.raises(Exception):
|
||||
my_obs.plot_rep_dist()
|
||||
with pytest.raises(Exception):
|
||||
my_obs.plot_piechart()
|
||||
with pytest.raises(Exception):
|
||||
my_obs.gamma_method(S='2.3')
|
||||
with pytest.raises(Exception):
|
||||
my_obs.gamma_method(tau_exp=2.3)
|
||||
my_obs.gamma_method()
|
||||
my_obs.details()
|
||||
|
||||
my_obs += pe.Obs([np.random.rand(6)], ['name2|r1'])
|
||||
my_obs += pe.Obs([np.random.rand(6)], ['name2|r2'])
|
||||
my_obs.gamma_method()
|
||||
my_obs.details()
|
||||
|
||||
def test_dump():
|
||||
value = np.random.normal(5, 10)
|
||||
dvalue = np.abs(np.random.normal(0, 1))
|
||||
|
@ -311,6 +348,7 @@ def test_overloaded_functions():
|
|||
def test_utils():
|
||||
my_obs = pe.pseudo_Obs(1.0, 0.5, 't|r01')
|
||||
my_obs += pe.pseudo_Obs(1.0, 0.5, 't|r02')
|
||||
str(my_obs)
|
||||
for tau_exp in [0, 5]:
|
||||
my_obs.gamma_method(tau_exp=tau_exp)
|
||||
my_obs.tag = "Test description"
|
||||
|
@ -325,6 +363,8 @@ def test_utils():
|
|||
my_obs.plot_piechart()
|
||||
assert my_obs > (my_obs - 1)
|
||||
assert my_obs < (my_obs + 1)
|
||||
float(my_obs)
|
||||
str(my_obs)
|
||||
|
||||
|
||||
def test_cobs():
|
||||
|
|
Loading…
Add table
Reference in a new issue