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  1. Data Management
  2. DM-21212

Update existing cp_pipe tasks to pipelineTasks

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    • Story Points:
      40
    • Sprint:
      DRP F19-6 (Nov)
    • Team:
      Data Release Production

      Description

      The new tasks for cp_pipe will need to be ready to work with the gen3 butler/as pipelineTasks in the near future, which likely requires some sort of plan.  This ticket is to remind everyone of that fact.

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            mfisherlevine Merlin Fisher-Levine added a comment -

            I can help discuss this after the AuxTel run if necessary, but I'm sure Chris doesn't really need me for that.

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            mfisherlevine Merlin Fisher-Levine added a comment - I can help discuss this after the AuxTel run if necessary, but I'm sure Chris doesn't really need me for that.
            Hide
            czw Christopher Waters added a comment -

            I believe I have sorted out the flat issue, and will be getting this back to active review once I have the code cleaned/commits rebased/documentation updated/etc.

            A notebook containing the validation of the new gen3 flats and a quick discussion of changes is available here: https://github.com/czwa/notebooks/blob/master/20200527-lsst_gen3_flat_scaling/flatscale.20200527.ipynb

            Show
            czw Christopher Waters added a comment - I believe I have sorted out the flat issue, and will be getting this back to active review once I have the code cleaned/commits rebased/documentation updated/etc. A notebook containing the validation of the new gen3 flats and a quick discussion of changes is available here:  https://github.com/czwa/notebooks/blob/master/20200527-lsst_gen3_flat_scaling/flatscale.20200527.ipynb
            Hide
            czw Christopher Waters added a comment -

            I would like to re-request review on this ticket.  The algorithm now matches the gen2 implementation scaling between detectors.  The code should now be better documented and clearer to follow than it was before.

            Show
            czw Christopher Waters added a comment - I would like to re-request review on this ticket.  The algorithm now matches the gen2 implementation scaling between detectors.  The code should now be better documented and clearer to follow than it was before.
            Hide
            price Paul Price added a comment -

            I think the only comments I have are minor, so go ahead and merge after cleaning up.

            The commit history is not orthogonal, and I would urge you to put some effort into cleaning this up before merging. Squash commits dealing with the same new code, and split commits that contain multiple functional changes. It might be easiest to simply toss all your commits and start crafting new ones from your changes. Let me know if you need help on doing any of that.

            Show
            price Paul Price added a comment - I think the only comments I have are minor, so go ahead and merge after cleaning up. The commit history is not orthogonal, and I would urge you to put some effort into cleaning this up before merging. Squash commits dealing with the same new code, and split commits that contain multiple functional changes. It might be easiest to simply toss all your commits and start crafting new ones from your changes. Let me know if you need help on doing any of that.
            Show
            czw Christopher Waters added a comment - https://ci.lsst.codes/blue/organizations/jenkins/stack-os-matrix/detail/stack-os-matrix/32080/pipeline/

              People

              Assignee:
              czw Christopher Waters
              Reporter:
              czw Christopher Waters
              Reviewers:
              Nate Lust, Paul Price
              Watchers:
              Andrés Alejandro Plazas Malagón, Christopher Waters, Merlin Fisher-Levine, Paul Price, Tim Jenness
              Votes:
              0 Vote for this issue
              Watchers:
              5 Start watching this issue

                Dates

                Created:
                Updated:
                Resolved:

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