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jump-dev / Convex.jl

A Julia package for disciplined convex programming
https://jump.dev/Convex.jl/stable/
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Prep for v0.16.0 #676

Closed odow closed 4 months ago

odow commented 4 months ago

Approved by:

codecov[bot] commented 4 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 98.19%. Comparing base (2978c32) to head (ee5fdbc). Report is 2 commits behind head on master.

:exclamation: Current head ee5fdbc differs from pull request most recent head 01be76c

Please upload reports for the commit 01be76c to get more accurate results.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #676 +/- ## ========================================== - Coverage 98.19% 98.19% -0.01% ========================================== Files 89 89 Lines 5162 5155 -7 ========================================== - Hits 5069 5062 -7 Misses 93 93 ```

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odow commented 4 months ago

Here's a draft Discourse post:

Dear all,

We are pleased to announce the release of Convex.jl v0.16.0:
https://github.com/jump-dev/Convex.jl

This release of Convex involved a substantial internal rewrite of Convex.jl to
integrate better with MathOptInterface. The result is a faster, simpler, and
more maintainable package that is nearly ready for a 1.0 release.

Detailed release notes are available at: https://jump.dev/Convex.jl/dev/release_notes/

Most of the very large number of changes affect only the internal representation
of Convex.jl models. However, some user-facing breakage was unavoidable.

In most cases, informative errors and deprecation warnings will be thrown, but
there are two subtle changes to be aware of. Compared to version 0.15.4:

 * The sign of the dual on a `a <= b` constraint is now reversed, so that it now
   matches the conventions in MathOptInterface. We decided to make this change
   because the previous convention was non-standard and had a high potential for
   incorrect usage.
 * Scalar row indexing like `x[i, :]` now produces a column vector instead of a
   row vector. This matches the conventions in Julia Base, but it is a breaking
   change because `x[i, :] * x[j, :]'` used to be the inner product; now it is
   the outer product. We decided to make this change because the previous
   indexing was non-standard and had a high potential for incorrect usage.

If you need help updating, please comment below, start a new forum post, or open
a GitHub issue.

Cheers,

Benoit (@blegat), Eric (@ericphanson), and Oscar (@odow)
odow commented 4 months ago

I'll wait for @blegat to wake up to confirm

ericphanson commented 4 months ago

I found two new issues #683 and #682 but neither are regressions from v0.15.4 (both are present there too) so I think they can be fixed in a patch release post-v0.16.0.

odow commented 4 months ago

I'm not going to wait for #685. I'll merge and tag this once CI passes.