You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
How to upgrade is described in the Numpy 2.0 Migration guide. They've added support to later versions of ruff (our linter) to autofix many incompatibilities, so we should upgrade that as well.
The text was updated successfully, but these errors were encountered:
Also regenerate _all_ pinned-requirements.
Fixeshail-is#14852
## Security Assessment
- This change has medium security impact
### Impact Description
Dependency upgrades. Probably _better_ from a security standpoint.
Numpy 1.26 will be reaching end of life soon. We should upgrade to the 2.x series.
For reference, numpy version support policies are described as part of the Scientific Python Ecosystem Coordination Minimum Supported Dependencies policy.
How to upgrade is described in the Numpy 2.0 Migration guide. They've added support to later versions of ruff (our linter) to autofix many incompatibilities, so we should upgrade that as well.
The text was updated successfully, but these errors were encountered: