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@IvanYashchuk IvanYashchuk commented Oct 8, 2022

Previously it was hardcoded that we do the conversion only with numpy.float64 dtype. Now it's just that type of the template function and provided NumPy array should match and dtype check is deferred to PyOP2.

It helps with #14, we still need CI with a build of PETSc with complex numbers support.

@IvanYashchuk IvanYashchuk force-pushed the lift-dtype-restriction branch from 7730fc3 to c56f153 Compare October 8, 2022 11:54
@IvanYashchuk IvanYashchuk merged commit 289a6c4 into master Oct 8, 2022
@IvanYashchuk IvanYashchuk deleted the lift-dtype-restriction branch October 8, 2022 12:13
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2 participants