Hey John,

Unfortunately, this didn't do it either.

When you get around to looking at it more closely, load up the simple data set I sent at the beginning of the thread (or that Ken posted to the bug report), put two temporal shift scales branching off of it, one with zero post-shift and one with a post-shift of 1. Group those two temporal shift scales and look at the output.

Step forward and backward in time -- the behavior is different each direction. Go to the Information tab of the grouped data set -- it shows a Multi-block Dataset of two Unstructured Grids, and the Current Time Step for each looks right, but the data itself (the scalar "Step", and the X range) is clearly not different between the two UGs. Also, in one direction, the Current Time only increments every other click of the time increment button.

Hope you're able to track it down. Thanks again,
-Eric


On Dec 2, 2008, at 12:39 PM, John Biddiscombe wrote:

Eric

OK I was waiting for some files to copy, so I had a quick edit of vtkTemporalSnapToTimeStep and vtkTemporalShiftScale. Both these classes derived from vtkTemporalDataSetAlgorithm, but this was wrong, when we reimplemented the Temporal stuff, it was possible for these classes to derive from vtkDataObject. All they do is change information. You can now connect them to normal filters willy nilly, without vtkTemporalDataSets being created all over the shop.

Tyr updating from CVS the 4 files in Hybrid
vtkTemporalSnap* vtkTemporalShift*

then have another go. Get rid of any TemporalCache filters that you don't need too.

I've been meaning to do this for ages. I hope it makes a difference. I still haven't actually read all your emails, but I'm sure there was some dodgy temporal caching/dataset swapping going on, this ought to make it easier to track down when I do look into it properly at least ....

JB

Hey John,

I really appreciate the suggestion, but it doesn't seem to do anything to solve this problem.

If you can take a look at this after Christmas that would be great!

Thanks,
-Eric


On Dec 2, 2008, at 4:00 AM, John Biddiscombe wrote:

Eric,

I had a temporal problem and made a small change to vtkCompositeDataPipeline which fixed my trouble. It occurred to me (and I confess that due to other deadlines, I have not followed this thread carefully, but I will fix the problem after Christmas) - that perhaps your problem was related.

Try this

open vtkCompositeDataPipeline

search for two lines with hasRTD = true and comment them out - like so!
// hasRTD = true;

Now tell me if your pipeline does what you expect.

I don't know why REQUIRES_TIME_DOWNSTREAM is actually being forwarded up the pipeline, the executive should replace the output of the filter it is working with now, and others can do as they please. I was getting all sorts of nonsense with multiple temporal filters causing outputs to be replaced all over the place, this solved it.

It may not be applicable to your case, but if it works...please let me know.

JB
I added this information to the bug report.

-Ken


On 11/25/08 11:33 AM, "Eric E. Monson" <[EMAIL PROTECTED]> wrote:

  Hey Ken,

  Thanks a lot for looking into this -- I'm sure it was a pleasure
  to see it pop up again! :)

  Your workaround using the temporal cache filter seems to work as
long as I do the grouping in the "correct" order. If I first click
  on the shift(0) filter, and then command-click to also select the
  shift(1) filter and then group the data sets, stepping forward in
  time only shows one point, but then backwards in time shows the
  correct thing: two points trailing each other. If I select the
  shift(1) first and then the shift(0), stepping forwards in time
  works, but not backwards. (Although, I still get a "stutter"
  sometimes where on the second click forwards after applying the
  group filter the points collapse for one step...)

  If I select in the "wrong" order, but increase the size of the
  caches (up from the original 2), I can get the points to look
  right for one or two steps forwards sometimes. They always look
  right going forward if I've just stepped backwards through that
  time range so the data is in the caches.

  So, temporal caching fixes it if the filters are selected in the
  "right" order for the order in which the time is going to be
  stepped...

  Thanks,
  -Eric


  On Nov 24, 2008, at 6:58 PM, Moreland, Kenneth wrote:

Nuts. I guess it wasn’t fixed after all. I submitted a new bug
      report with your new description.

      http://www.paraview.org/Bug/view.php?id=8156

      Note that I think I found a workaround using the temporal
      cache filter. (Details in the bug report.)

      -Ken


On 11/21/08 8:15 AM, "Eric E. Monson" <[EMAIL PROTECTED]> wrote:


          Hey,

Sorry for the long email, but I find this problem difficult to
          describe succinctly...

          In February I was trying to use multiple Temporal Shift
          Scale filters
          as input to a Python Programmable Filter to do on-the-fly
          point
          velocity calculations (for diffusing particles in my
          simulation
          output). There were troubles with the pipeline updating
          properly, and
          Ken Moreland came up with a nice self-contained test case
          and filed
          the bug 6307:

          http://www.paraview.org/Bug/view.php?id=6307

          which was listed in August as "fixed" because the test
          case seemed to
          work now. But, I don't think this is really resolved yet.

          If you load in the TimeShiftTest2.pvsm state file, the
          animation seems
          to play correctly, but I think that's a red herring. If
          you turn off
          the visibility of the TemporalShiftScale filters, you can
          see that no
          boxes move until after t=1.0, whereas if the temporal
          filters are
          turned on, and the group filter is turned off, one box
          moves and then
          the other.

          I don't know if this helps, but if you look at the Output
          printed by
the Python filter in TimeShiftTest1.pvsm, you can see that the
          temporal data sets have the correct time, but the
          ImageData within
          them doesn't match.
          ......

          All of this is much more clear to me when I load in a
          simple data set
          with one point moving in time (attached Xdmf data set --
          I'll also
attach a link to a state file which sets this pipeline up,
          but you'll
          have to change the path for the data file in the state
          file manually
          if you want to use it).

          The pipeline is: Load data. Add a Temporal Shift Scale
          with (post)
          shift=0. Add another TSS off the original data set with
          (post) shift =
          1. Highlight both TSSs and route into a Python
          Programmable Filter
          with Unstructured Grid output and this script:

          in0 = self.GetInputDataObject(0,0)
          ds0 = in0.GetTimeStep(0)
          in1 = self.GetInputDataObject(0,1)
          ds1 = in1.GetTimeStep(0)
          print 'in1 t = %.1f' %
          in1.GetInformation().Get(in1.DATA_TIME_STEPS(),0)
          print 'ds1 t = %.1f' %
          ds1.GetInformation().Get(ds1.DATA_TIME_STEPS(),0)
          print 'in0 t = %.1f' %
          in0.GetInformation().Get(in0.DATA_TIME_STEPS(),0)
          print 'ds0 t = %.1f' %
          ds0.GetInformation().Get(ds0.DATA_TIME_STEPS(),0)
          out1 = self.GetOutputDataObject(0)
          out1.ShallowCopy(ds0)
          print 'out1 t = %.1f' %
          out1.GetInformation().Get(out1.DATA_TIME_STEPS(),0)

When I animate this (PV CVS or 3.4, OS X 10.5.5), with the
          TSSs on and
the PPF off, I see the expected: two points, one following
          the other.
          When the TSSs are off and the PPF is on, only one point
          shows up.
          Also, the behavior is different if the animation is
          stepped backwards
          rather than forwards. And, the printed Output times from
          the PPF show
          one of the ImageData sets time doesn't match its temporal
          host.

          As in Ken's example, this works very similarly with a
          Group filter in
          place of the PPF.

          This still seems very confusing, and I hope someone will
          have some clue!

          Thanks,
          -Eric

          ------------------------------------------------------
          Eric E Monson
          Duke Visualization Technology Group

          Test data set:





      **** Kenneth Moreland
      *** Sandia National Laboratories
      ***********
      *** *** *** email: [EMAIL PROTECTED]
      ** *** ** phone: (505) 844-8919
      *** web: http://www.cs.unm.edu/~kmorel
      <http://www.cs.unm.edu/%7Ekmorel>







**** Kenneth Moreland
*** Sandia National Laboratories
***********
*** *** *** email: [EMAIL PROTECTED]
** *** ** phone: (505) 844-8919
*** web: http://www.cs.unm.edu/~kmorel <http://www.cs.unm.edu/%7Ekmorel >

------------------------------------------------------------------------

_______________________________________________
ParaView mailing list
[email protected]
http://www.paraview.org/mailman/listinfo/paraview



_______________________________________________
ParaView mailing list
[email protected]
http://www.paraview.org/mailman/listinfo/paraview

Reply via email to