tags 1118038 ftbfs thanks Hi. I've checked and the package also FTBFS, with the same error, so I'm tagging this bug as "ftbfs".
> Is it the combination of scipy 1.16 with numpy 2.3 that is triggering the > lmfit-py failure? Good question. I'm going to use debbisect for that and will tell you what I find. Note: The tracker page says this: A new upstream version is available: 1.3.4 Would upgrading to such version be an option to address this issue? BTW: It seems that I did the last three uploads for this package, but that's more like an accident. In general, I prefer if you or any of the more experienced team members would care about "upgrade to new upstream"-type uploads, mainly because I've never done that. Thanks.
