Comments (4)
Works fine for me, even on a non-pristine env.
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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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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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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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Related Issues (12)
- ImportError: No module named hprainbow
- Better handling of 2D and 3D scenarios
- Update PyPI requirements
- Update dependencies in README
- 4D data support HOT 1
- The example 01_minimal_example.ipynb works perfectly with one minor addition
- healpix regrid notebook issue HOT 2
- Don't pin dependencies HOT 3
- How does this compare to the reproject package? HOT 2
- gcc 4.7+ needed HOT 2
- clang error that -fopenmp is unsupported on Mac HOT 5
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