Closed tjwsch closed 5 months ago
The latest commit adds interpolation. Besides lacking extrapolation, scipy's griddata module also cannot interpolate on linearly dependent data, thus data on the dummy problems cannot be interpolated. more thought must be put into the issue, to interpolate and extrapolate all cases of simulation crashes, and implementing a custom solution for interpolation is most likely required.
Further discussions led to the idea that implementing an inverse distance weighing would make sense for the interpolation. This would be done with a k-nearest-neighbor method, where the user can set k.
This is an attempt to solve issue #74. This cannot be a permanent solution to the handling of crashing simulation. If a simulation crashes during the first time step, it is replaced with data from another random simulation. In the long run, I don't see any other solution than an interpolation (in cases where only one simulation is given and it cannot be replaced by one of different complexity). Moreover, it has not been tested with real simulations, in parallel, or using spack.