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[Feat] Provide derivatives for pow (#246)

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* [Feat] Provide manual derivatives for __pow__

* [Feat] Also applied changes to rpow

* [Test] Another pow test added.
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Fabian Joswig 2024-11-26 17:52:27 +01:00 • committed by GitHub
parent 0ce765a99d
commit 30bfb55981
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2 changed files with 15 additions and 6 deletions
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9
pyerrors/obs.py
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@ -856,15 +856,12 @@ class Obs:
def __pow__(self, y): def __pow__(self, y):
if isinstance(y, Obs): if isinstance(y, Obs):
return derived_observable(lambda x: x[0] ** x[1], [self, y]) return derived_observable(lambda x, **kwargs: x[0] ** x[1], [self, y], man_grad=[y.value * self.value ** (y.value - 1), self.value ** y.value * np.log(self.value)])
else: else:
return derived_observable(lambda x: x[0] ** y, [self]) return derived_observable(lambda x, **kwargs: x[0] ** y, [self], man_grad=[y * self.value ** (y - 1)])
def __rpow__(self, y): def __rpow__(self, y):
if isinstance(y, Obs): return derived_observable(lambda x, **kwargs: y ** x[0], [self], man_grad=[y ** self.value * np.log(y)])
return derived_observable(lambda x: x[0] ** x[1], [y, self])
else:
return derived_observable(lambda x: y ** x[0], [self])
def __abs__(self): def __abs__(self):
return derived_observable(lambda x: anp.abs(x[0]), [self]) return derived_observable(lambda x: anp.abs(x[0]), [self])

12
tests/obs_test.py
View file

@ -461,6 +461,18 @@ def test_cobs_overloading():
obs / cobs obs / cobs
def test_pow():
data = [1, 2.341, pe.pseudo_Obs(4.8, 0.48, "test_obs"), pe.cov_Obs(1.1, 0.3 ** 2, "test_cov_obs")]
for d in data:
assert d * d == d ** 2
assert d * d * d == d ** 3
for d2 in data:
assert np.log(d ** d2) == d2 * np.log(d)
assert (d ** d2) ** (1 / d2) == d
def test_reweighting(): def test_reweighting():
my_obs = pe.Obs([np.random.rand(1000)], ['t']) my_obs = pe.Obs([np.random.rand(1000)], ['t'])
assert not my_obs.reweighted assert not my_obs.reweighted