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<== Date ==> | <== Thread ==> |
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Subject: | Re: p4p and numpy 2.0 |
From: | Florian Feldbauer via Tech-talk <tech-talk at aps.anl.gov> |
To: | tech-talk at aps.anl.gov |
Date: | Thu, 26 Sep 2024 11:27:00 +0200 |
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 PyObjectManually 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
-- Ruhr-Universität Bochum AG der Experimentalphysik I Dr. Florian Feldbauer NB 2/131 / Fach 125 Universitätsstr. 150 D-44801 Bochum Office: NB 2/134 Phone: (+49)234 / 32-23563 Fax: (+49)234 / 32-14170https://urldefense.us/v3/__https://paluma.ruhr-uni-bochum.de__;!!G_uCfscf7eWS!aDkmc0x5-iSMQd5LEQkoTvYILwIY10lVKq7YSiMyDPGb6EoJ-2Lfn2iK-GOShD9djI8UBllDuf_FK_HlLN1enyQCzT6FMYp4l8Y$