Comments (2)
Hi @yuhao-wang-nju, thanks for your post!
- This is by design (see #15153)
- Where does the doc say that? I think cppyy pythonizes the
cppyy.gbl.std.string
such that it behaves like a Pythonstr
, therefore it can be used in many contexts where one would usestr
. But this doesn't always help. The type is different after all, and there is no automatic conversion for the reasons outlined in #15153. You will have to do this yourself withstr()
around thestd::string
. - The evaluation was completely replaced in 6.32. Probably you have one of the corner cases where the new backend is slower and I need to debug this. Is it also possible to reproduce this slow fit with the workspace you shared? Maybe you can share the full script?
Thanks a lot!
Related PR: #14237
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Hi @guitargeek , thanks a lot for the reply and sorry for the late message.
For the first and second point, thanks a lot for the explanation. I may misunderstood the way cppyy works previously, now it seems quite reasonable to me!
For the third one, I prepared a workspace and also attached the code that we use (The dataset named obsData
contained in the file is an asimov one). We are using a framework named WSMaker and I just picked up the fitting code. It is a bit long and hope it won't bring too much trouble to you. Here is the command we use for fit:
root -l -b -q '$WORKDIR/FitCrossCheckForLimits.C+(FitToAsimov,1.0,0.0,true,"ws.root","output/","combined","ModelConfig","obsData",false,false)'
The file is a bit large so here is the gdrive link. Thanks a lot in advance for your time!
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