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Merge branch 'develop' into feat/read_ms5_xsf

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Fabian Joswig 2022-12-20 18:24:39 +01:00 • committed by GitHub
commit 6443884c8d
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3 changed files with 25 additions and 19 deletions
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19
pyerrors/correlators.py
View file

@ -69,9 +69,6 @@ class Corr:
if isinstance(data_input, list):
if all([isinstance(item, (Obs, CObs)) for item in data_input]):
_assert_equal_properties(data_input)
self.content = [np.asarray([item]) for item in data_input]
if all([isinstance(item, (Obs, CObs)) or item is None for item in data_input]):
_assert_equal_properties([o for o in data_input if o is not None])
self.content = [np.asarray([item]) if item is not None else None for item in data_input]
@ -972,6 +969,8 @@ class Corr:
content_string += "Description: " + self.tag + "\n"
if self.N != 1:
return content_string
if isinstance(self[0], CObs):
return content_string
if print_range[1]:
print_range[1] += 1
@ -1139,8 +1138,10 @@ class Corr:
for t in range(self.T):
if _check_for_none(self, newcontent[t]):
continue
if np.isnan(np.sum(newcontent[t]).value):
newcontent[t] = None
tmp_sum = np.sum(newcontent[t])
if hasattr(tmp_sum, "value"):
if np.isnan(tmp_sum.value):
newcontent[t] = None
if all([item is None for item in newcontent]):
raise Exception('Operation returns undefined correlator')
return Corr(newcontent)
@ -1197,8 +1198,8 @@ class Corr:
@property
def real(self):
def return_real(obs_OR_cobs):
if isinstance(obs_OR_cobs, CObs):
return obs_OR_cobs.real
if isinstance(obs_OR_cobs.flatten()[0], CObs):
return np.vectorize(lambda x: x.real)(obs_OR_cobs)
else:
return obs_OR_cobs
@ -1207,8 +1208,8 @@ class Corr:
@property
def imag(self):
def return_imag(obs_OR_cobs):
if isinstance(obs_OR_cobs, CObs):
return obs_OR_cobs.imag
if isinstance(obs_OR_cobs.flatten()[0], CObs):
return np.vectorize(lambda x: x.imag)(obs_OR_cobs)
else:
return obs_OR_cobs * 0 # So it stays the right type

15
pyerrors/misc.py
View file

@ -105,16 +105,11 @@ def gen_correlated_data(means, cov, name, tau=0.5, samples=1000):
def _assert_equal_properties(ol, otype=Obs):
if not isinstance(ol[0], otype):
raise Exception("Wrong data type in list.")
otype = type(ol[0])
for o in ol[1:]:
if not isinstance(o, otype):
raise Exception("Wrong data type in list.")
if not ol[0].is_merged == o.is_merged:
raise Exception("All Obs in list have to have the same state 'is_merged'.")
if not ol[0].reweighted == o.reweighted:
raise Exception("All Obs in list have to have the same property 'reweighted'.")
if not ol[0].e_content == o.e_content:
raise Exception("All Obs in list have to be defined on the same set of configs.")
if not ol[0].idl == o.idl:
raise Exception("All Obs in list have to be defined on the same set of configurations.")
for attr in ["is_merged", "reweighted", "e_content", "idl"]:
if hasattr(ol[0], attr):
if not getattr(ol[0], attr) == getattr(o, attr):
raise Exception(f"All Obs in list have to have the same state '{attr}'.")

10
tests/correlators_test.py
View file

@ -532,3 +532,13 @@ def test_prune():
with pytest.raises(Exception):
corr_mat.prune(3)
corr_mat.prune(4)
def test_complex_Corr():
o1 = pe.pseudo_Obs(1.0, 0.1, "test")
cobs = pe.CObs(o1, -o1)
ccorr = pe.Corr([cobs, cobs, cobs])
assert np.all([ccorr.imag[i] == -ccorr.real[i] for i in range(ccorr.T)])
print(ccorr)
mcorr = pe.Corr(np.array([[ccorr, ccorr], [ccorr, ccorr]]))
assert np.all([mcorr.imag[i] == -mcorr.real[i] for i in range(mcorr.T)])