Uploaded image for project: 'Data Management'
  1. Data Management
  2. DM-14011

update conda package versions - post v16 release

    XMLWordPrintable

    Details

      Description

      The conda package versions should be updated as part of general house keeping at the start of each dev/release cycle.

        Attachments

          Issue Links

            Activity

            Hide
            jhoblitt Joshua Hoblitt added a comment -

            There is no point in updating the conda package set until after py2 support has been dropped.

            Show
            jhoblitt Joshua Hoblitt added a comment - There is no point in updating the conda package set until after py2 support has been dropped.
            Hide
            jhoblitt Joshua Hoblitt added a comment -

            Completing this ticket is hard blocked on DM-15044 as per discussion on slack, disabling the "demo" is not considered an option at this time.

            Show
            jhoblitt Joshua Hoblitt added a comment - Completing this ticket is hard blocked on DM-15044 as per discussion on slack, disabling the "demo" is not considered an option at this time.
            Hide
            jhoblitt Joshua Hoblitt added a comment -

            Kian-Tat Lim / Tim Jenness It appears that updating the conda env should be unblocked?  Do we need to go through a testing cycle or should be just go for it?

            Show
            jhoblitt Joshua Hoblitt added a comment - Kian-Tat Lim / Tim Jenness It appears that updating the conda env should be unblocked?  Do we need to go through a testing cycle or should be just go for it?
            Hide
            tjenness Tim Jenness added a comment - - edited

            So long as you are not going to update to current versions of packages then the bump from a few weeks back is probably fine. DM-15462 demonstrates that numpy1.15 breaks things (although python 3.7 looks to be fine in general).

            Show
            tjenness Tim Jenness added a comment - - edited So long as you are not going to update to current versions of packages then the bump from a few weeks back is probably fine. DM-15462 demonstrates that numpy1.15 breaks things (although python 3.7 looks to be fine in general).
            Hide
            jhoblitt Joshua Hoblitt added a comment -

            OK – I'll proceed with the PR as it currently stands as it's bumping numpy to 1.14.x.

            Show
            jhoblitt Joshua Hoblitt added a comment - OK – I'll proceed with the PR as it currently stands as it's bumping numpy to 1.14.x .
            Hide
            tjenness Tim Jenness added a comment -

            It would be awesome if we had a single Jenkins job that ran once a week and that always built with bleeding edge packages so that we could spot oddities early.

            Show
            tjenness Tim Jenness added a comment - It would be awesome if we had a single Jenkins job that ran once a week and that always built with bleeding edge packages so that we could spot oddities early.
            Hide
            jhoblitt Joshua Hoblitt added a comment -

            All changes have been merged.

            Show
            jhoblitt Joshua Hoblitt added a comment - All changes have been merged.

              People

              Assignee:
              jhoblitt Joshua Hoblitt
              Reporter:
              jhoblitt Joshua Hoblitt
              Watchers:
              Frossie Economou, Gabriele Comoretto [X] (Inactive), Joshua Hoblitt, Kian-Tat Lim, Tim Jenness
              Votes:
              0 Vote for this issue
              Watchers:
              5 Start watching this issue

                Dates

                Created:
                Updated:
                Resolved:

                  Jenkins

                  No builds found.