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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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pyerrors/obs.py
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@ -856,15 +856,12 @@ class Obs:
def __pow__(self, y):
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:
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):
if isinstance(y, Obs):
return derived_observable(lambda x: x[0] ** x[1], [y, self])
else:
return derived_observable(lambda x: y ** x[0], [self])
return derived_observable(lambda x, **kwargs: y ** x[0], [self], man_grad=[y ** self.value * np.log(y)])
def __abs__(self):
return derived_observable(lambda x: anp.abs(x[0]), [self])