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When one restart the calculation, the dataset will be scaled before retrieving the realization from that dataset. If grid-like sampler is used, the scale factor could be zero, since the grid points for some variable could be constant, this will cause the failure of the restart capability as recently reported by one of our users.
What did you expect to see happen?
The grid sampler with restart should work.
What did you see instead?
From raven user:
so I started a test without the meshfile variable. Left it running for some time so I had a dataset of 34 restart points. Then cancled Raven and tried to restart from the previous results but again the same error and Raven ignored the restart points completely and started sampling the same points again that already exist in the restart data.
Do you have a suggested fix for the development team?
)
* fix std in data comparison
* add test to test restart with constant variables, test issue #690
* rename folder name, since 'con' is not acceptable in windows
Issue Description
When one restart the calculation, the dataset will be scaled before retrieving the realization from that dataset. If grid-like sampler is used, the scale factor could be zero, since the grid points for some variable could be constant, this will cause the failure of the restart capability as recently reported by one of our users.
What did you expect to see happen?
The grid sampler with restart should work.
What did you see instead?
From raven user:
Do you have a suggested fix for the development team?
@mandd and I found we have an issue with the SCALE in the DataSet. The fix can be found in
https://github.com/idaholab/raven/tree/wangc/std_issue
Please attach the input file(s) that generate this error. The simpler the input, the faster we can find the issue.
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