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DanielLenz avatar DanielLenz commented on June 30, 2024

Works fine for me, even on a non-pristine env.

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bwinkel avatar bwinkel commented on June 30, 2024

Well, today we had this issue on another computer (MacOS), with a pristine Anaconda installation (and an existing Python environment). Seems, we need to find the cause of this, after all.

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bwinkel avatar bwinkel commented on June 30, 2024

I think, I may have found a fix for this. In the conda-forge recipe I had numpy >=1.11 in the host requirements. But this actually means, that conda-forge will use the newest numpy version, while the oldest possible (compatible) version is desired. Usually, newer versions are ensuring binary compatibility with older versions, but not vice versa. By not specifying the version in the recipe, conda-forge automatically uses numpy 1.9 / 1.11 (as of today) depending on the OS; see https://conda-forge.org/docs/meta.html.

What happened here was, that I had numpy 1.15.4 installed, but cygrid was build against numpy 1.16...

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bwinkel avatar bwinkel commented on June 30, 2024

OK, this probably did the trick, as we could use it now without problems on both machines that were previously making trouble. Closing this.

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