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fix: Corr.m_eff can now returns None entries if the correlator has a

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sign flip. Before that the logarithm of a negative number was computed
and a warning was thrown.
This commit is contained in:
Fabian Joswig 2022-06-28 14:40:49 +01:00
parent 92562d50e7
commit 763c759ae0
2 changed files with 13 additions and 0 deletions
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9
tests/correlators_test.py
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@ -105,6 +105,15 @@ def test_m_eff():
my_corr.m_eff('unkown_variant')
def test_m_eff_negative_values():
for padding in [0, 4]:
my_corr = pe.correlators.Corr([1.0 * pe.pseudo_Obs(10, 0.1, 't'), 1.0 * pe.pseudo_Obs(9, 0.05, 't'), -pe.pseudo_Obs(9, 0.1, 't')], padding=[padding, padding])
m_eff_log = my_corr.m_eff('log')
assert m_eff_log[padding + 1] is None
m_eff_cosh = my_corr.m_eff('cosh')
assert m_eff_cosh[padding + 1] is None
def test_reweighting():
my_corr = pe.correlators.Corr([pe.pseudo_Obs(10, 0.1, 't'), pe.pseudo_Obs(0, 0.05, 't')])
assert my_corr.reweighted is False