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As of numpy 1.25, the ABI is backwards compatible, however this behaviour hasn't been adopted on conda-forge.
In order to stick to existing behaviour across deployments, we should use the "oldest supported numpy" rather than just whatever numpy version we happened to releases with hoping that it'll be backward compatible enough.
For an example of this please see the MDAnalysis core library.
The text was updated successfully, but these errors were encountered:
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mdaencore numpy version not defined on wheel building
numpy version not defined on wheel building
Apr 28, 2024
As of numpy 1.25, the ABI is backwards compatible, however this behaviour hasn't been adopted on conda-forge.
In order to stick to existing behaviour across deployments, we should use the "oldest supported numpy" rather than just whatever numpy version we happened to releases with hoping that it'll be backward compatible enough.
For an example of this please see the MDAnalysis core library.
The text was updated successfully, but these errors were encountered: