You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
What is the status of PyDPF w.r.t. compatibility with the numpy 2.x release? I have noticed that it is declared as numpy<2, but don't know whether there is a known incompatibility, or it is simply a conservative dependency declaration.
The reason I stumbled upon this is that the poetry dependency solver in PyACP (which does not restrict numpy):
upgraded numpy to 2.x
downgraded DPF core to 0.12.2, which does not limit numpy (but presumably isn't any more compatible)
By forcing ansys-dpf-core>=0.13, I could get it to pick the older numpy and newer DPF instead.
The text was updated successfully, but these errors were encountered:
Update the `ansys-api-acp` version to `0.2.0`.
Also update the minimum version of DPF Core, DPF Composites, and PyMechanical. These
are used only in the examples, so the lower bound can be updated without breaking compatibility.
The `ansys-dpf-core` dependency in particular was updated because otherwise it would downgrade
to a version that doesn't limit the numpy upper version, see ansys/pydpf-core#1831
What is the status of PyDPF w.r.t. compatibility with the
numpy
2.x release? I have noticed that it is declared asnumpy<2
, but don't know whether there is a known incompatibility, or it is simply a conservative dependency declaration.The reason I stumbled upon this is that the poetry dependency solver in PyACP (which does not restrict numpy):
numpy
to 2.x0.12.2
, which does not limitnumpy
(but presumably isn't any more compatible)By forcing
ansys-dpf-core>=0.13
, I could get it to pick the older numpy and newer DPF instead.The text was updated successfully, but these errors were encountered: