Release ska3-matlab 2023.6

[javierggt]

Packages to include

• fot-matlab
• testr
  • Handle StdOutWrapper class with context manager testr#51
• ska_testr
• starcheck (optional penalty limit)
• proseco (optional penalty limit)
• parse_cm (properly handling acis data)
• ska_sync (sync acis data)
• sparkles (test fix for proseco)
• xija (refactor get_model_spec)

Package and Test

• Create branch named 2023.6-branch
• Create PR titled 2023.6 from 2023.6-branch into master
• Create a pre-release 2023.6rc{N} at the latest commit in the branch
• Check packages are built and copied to test channel.
• List in PR any data products that need to be promoted to $SKA/data (check PR's interface impacts).
• Document all changes (skare3-changes-summary ...).
• Document test status (skare3-test-dashboard ...).
• Promote packages from masters to test channel (skare3-promote ...).
• Add related issues to PR (skare3-milestone-issues ...).
• Write summary + highlight relevant changes.
• Notify FOT team of candidate release.
• FOT gives green light to install release candidate.
• Install on GRETA test as SOT user (ska3/matlab/test).
• Confirm that test data (SKA/data) is appropriate for release testing (any custom test data is set or previous test data cleaned out)
• FOT tests and approves.
• Promote packages to main conda channel (skare3-promote ...).

Promote:

• Announce to aca@cfa/slack.
• Update ska3/matlab on cheru as SOT user.
• Make sure $SKA/data is updated on GRETA
• Run ska_testr on cheru.
• Document test results (skare3-test-dashboard ...).
• Announce to aca@cfa/slack.
• Notify FOT team.
• Merge PR.