lattice/pyerrors
1
0
Fork 0
mirror of https://github.com/fjosw/pyerrors.git synced 2025-05-15 03:53:41 +02:00
Code Issues Projects Releases Packages Wiki Activity

Merge branch 'develop' into documentation

Browse source
This commit is contained in:
fjosw 2021-12-23 11:30:23 +00:00
commit 431ac7c30d
5 changed files with 85 additions and 19 deletions
Download patch file Download diff file Expand all files Collapse all files

29
tests/dirac_test.py
View file

@ -32,3 +32,32 @@ def test_grid_dirac():
pe.dirac.Grid_gamma(gamma)
with pytest.raises(Exception):
pe.dirac.Grid_gamma('Not a gamma matrix')
def test_epsilon_tensor():
check = {(1, 2, 3) : 1.0,
(3, 1, 2) : 1.0,
(2, 3, 1) : 1.0,
(1, 1, 1) : 0.0,
(3, 2, 1) : -1.0,
(1, 3, 2) : -1.0,
(1, 1, 3) : 0.0}
for key, value in check.items():
assert pe.dirac.epsilon_tensor(*key) == value
with pytest.raises(Exception):
pe.dirac.epsilon_tensor(0, 1, 3)
def test_epsilon_tensor_rank4():
check = {(1, 4, 3, 2) : -1.0,
(1, 2, 3, 4) : 1.0,
(2, 1, 3, 4) : -1.0,
(4, 3, 2, 1) : 1.0,
(3, 2, 4, 3) : 0.0,
(0, 1, 2, 3) : 1.0,
(1, 1, 1, 1) : 0.0,
(1, 2, 3, 1) : 0.0}
for key, value in check.items():
assert pe.dirac.epsilon_tensor_rank4(*key) == value
with pytest.raises(Exception):
pe.dirac.epsilon_tensor_rank4(0, 1, 3, 4)

32
tests/obs_test.py
View file

@ -57,6 +57,7 @@ def test_dump():
value = np.random.normal(5, 10)
dvalue = np.abs(np.random.normal(0, 1))
test_obs = pe.pseudo_Obs(value, dvalue, 't')
test_obs.dump('test_dump', path=".")
test_obs.dump('test_dump')
new_obs = pe.load_object('test_dump.p')
os.remove('test_dump.p')
@ -105,6 +106,12 @@ def test_function_overloading():
assert np.sqrt(b ** 2) == b
assert np.sqrt(b) ** 2 == b
np.arcsin(1 / b)
np.arccos(1 / b)
np.arctan(1 / b)
np.arctanh(1 / b)
np.sinc(1 / b)
def test_overloading_vectorization():
a = np.random.randint(1, 100, 10)
@ -428,6 +435,14 @@ def test_reweighting():
assert r_obs[0].reweighted
r_obs2 = r_obs[0] * my_obs
assert r_obs2.reweighted
my_covobs = pe.cov_Obs(1.0, 0.003, 'cov')
with pytest.raises(Exception):
pe.reweight(my_obs, [my_covobs])
my_obs2 = pe.Obs([np.random.rand(1000)], ['t2'])
with pytest.raises(Exception):
pe.reweight(my_obs, [my_obs + my_obs2])
with pytest.raises(Exception):
pe.reweight(my_irregular_obs, [my_obs])
def test_merge_obs():
@ -436,6 +451,12 @@ def test_merge_obs():
merged = pe.merge_obs([my_obs1, my_obs2])
diff = merged - my_obs2 - my_obs1
assert diff == -(my_obs1.value + my_obs2.value) / 2
with pytest.raises(Exception):
pe.merge_obs([my_obs1, my_obs1])
my_covobs = pe.cov_Obs(1.0, 0.003, 'cov')
with pytest.raises(Exception):
pe.merge_obs([my_obs1, my_covobs])
def test_merge_obs_r_values():
@ -468,6 +489,17 @@ def test_correlate():
corr3 = pe.correlate(my_obs5, my_obs6)
assert my_obs5.idl == corr3.idl
my_new_obs = pe.Obs([np.random.rand(100)], ['q3'])
with pytest.raises(Exception):
pe.correlate(my_obs1, my_new_obs)
my_covobs = pe.cov_Obs(1.0, 0.003, 'cov')
with pytest.raises(Exception):
pe.correlate(my_covobs, my_covobs)
r_obs = pe.reweight(my_obs1, [my_obs1])[0]
with pytest.warns(RuntimeWarning):
pe.correlate(r_obs, r_obs)
def test_irregular_error_propagation():
obs_list = [pe.Obs([np.random.rand(100)], ['t']),