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Ensures that x and y use the same unit, which is otherwise ignored (it is divided out).
LourensVeen
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Oct 1, 2025
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LourensVeen
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Whoops! Yes, that seems like a good idea. Maybe add a regression test for it?
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Added tests and fixed a regression :) |
rieder
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Oct 1, 2025
| arctan2 = lambda x, y: numpy.arctan2(x, y) | rad | ||
| arctan2 = lambda x, y: numpy.arctan2( | ||
| x.value_in(x.unit) if isinstance(x, quantities.Quantity) else x, | ||
| y.value_in(x.unit) if isinstance(x, quantities.Quantity) else y, |
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Note that this explicitly checks the unit of x in both cases, and also whether x is a Quantity. This is because x and y need to be treated in the same way, otherwise they might have different units.
LourensVeen
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Ah, hadn't considered that. I should spend more time using AMUSE I guess 😄. Nice find though! Hurray for testing things.
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Ensures that x and y use the same unit, which is otherwise ignored (it is divided out).