Opened 8 years ago
Closed 8 years ago
#816 closed defect (fixed)
Gracefully fail when given NaN values in sasview_model
| Reported by: | pkienzle | Owned by: | pkienzle |
|---|---|---|---|
| Priority: | blocker | Milestone: | SasView 4.1.0 |
| Component: | sasmodels | Keywords: | |
| Cc: | Work Package: | SasView Bug Fixing |
Description
Model evaluation fails when there are NaN values in the model for possibly polydisperse parameters.
Inside weights.py, if center is NaN, then lb <= center <= ub fails and an empty distribution is returned.
Don't just test for NaN in the caller since the error will appear any time center+linspace(-nsig,nsig,npts) does not have any values within the bounds, which could happen if an non-bounds constrained optimizer is used.
Change History (4)
comment:1 Changed 8 years ago by pkienzle
- Component changed from SasView to sasmodels
comment:2 Changed 8 years ago by pkienzle
- Owner set to pkienzle
- Status changed from new to assigned
comment:3 Changed 8 years ago by pkienzle
comment:4 Changed 8 years ago by pkienzle
- Resolution set to fixed
- Status changed from assigned to closed
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Model evaluation has been fixed, and errors are propagated back to sasview. Since the errors should never happen, don't worry too much for now about how they are reported.
A related issue is how to create a truncated distribution if the physical process has limits on the range of sizes that can be produced. This is best handled by a user-defined distribution, as specified in ticket #608.