Hey Torsten,
if you look e.g. here https://urldefense.us/v3/__https://github.com/epics-base/p4p/issues/145__;!!G_uCfscf7eWS!aDkmc0x5-iSMQd5LEQkoTvYILwIY10lVKq7YSiMyDPGb6EoJ-2Lfn2iK-GOShD9djI8UBllDuf_FK_HlLN1enyQCzT6F55mSM4Q$ or
https://urldefense.us/v3/__https://github.com/epics-base/p4p/issues/156__;!!G_uCfscf7eWS!aDkmc0x5-iSMQd5LEQkoTvYILwIY10lVKq7YSiMyDPGb6EoJ-2Lfn2iK-GOShD9djI8UBllDuf_FK_HlLN1enyQCzT6FSaTbaX0$ this issue is known.
The current release on pypi.org (p4p==4.1.12) is still working with
setuptools < 60 and thus numpy < 2, but the team is working on a new
relase that will work with the new versions.
I guess p4p 4.2 will be released soon.
Cheers,
Florian
Am 26.09.2024 um 11:17 schrieb Torsten Bögershausen via Tech-talk:
Folks,
I just installed a fresh Linux box.
Trying to install p4p did work, but it failed to work :-(
The main reason seems to be that there is now a numpy 2.something,
which seems to be incompatible.
ValueError: numpy.dtype size changed, may indicate binary
incompatibility. Expected 96 from C header, got 88 from PyObject
Manually un-installing numpy and running
pip install numpy==1.22.0
made a success.
p4p seems to be un-aware about the numpy 2 thing,
it states happily
Requires-Dist: numpy >=1.22.0
--
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https://urldefense.us/v3/__https://paluma.ruhr-uni-bochum.de__;!!G_uCfscf7eWS!aDkmc0x5-iSMQd5LEQkoTvYILwIY10lVKq7YSiMyDPGb6EoJ-2Lfn2iK-GOShD9djI8UBllDuf_FK_HlLN1enyQCzT6FMYp4l8Y$
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