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Julia Version 1.10.0
Commit 3120989f39 (2023-12-2518:01 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU:8×11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz
WORD_SIZE:64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, tigerlake)
Threads:1 on 8 virtual cores
Environment:
JULIA_CONDAPKG_BACKEND = Null
JULIA_PYTHONCALL_EXE = C:\Users\iwheeler\Miniconda3\python.exe
Working Environment (please complete the following information):
Output of using Pkg; Pkg.status()
Status `C:\Users\iwheeler\OneDrive - purdue.edu\Documents\OtherCode\example_repo\Project.toml`
⌃ [43230ef6] OrdinaryDiffEqRosenbrock v1.1.1
Info Packages marked with ⌃ have new versions available and may be upgradable.
Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Describe the example
In the switch from [email protected] to [email protected], some tooling for solving DAEs in mass-matrix form is no longer exported.
If I just need to depend on another subset of SciML, I don't mind, just need to know what to import (and maybe this should make it into the documentation at https://docs.sciml.ai/DiffEqDocs/stable/tutorials/dae_example/ ?)
Minimal Reproducible Example 👇
Error & Stacktrace⚠️
With OrdinaryDiffEqRosenbrock v1.2
Not Working Environment (please complete the following information):
using Pkg; Pkg.status()
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
versioninfo()
Working Environment (please complete the following information):
using Pkg; Pkg.status()
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
versioninfo()
Additional context
I notice that on the upgrade from 1.1 to 1.2 of OrdinaryDIffEqRosenbrock, OrdinaryDiffEqNonlinearSolve and some other packages are uninstalled
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