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CI: Use micromamba solver for AppVeyor x64 - #1962
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franzpoeschel merged 5 commits intoOct 29, 2026
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The x64 job times out while the preinstalled conda's classic solver backtracks on the full conda-forge graph. The x86 job avoids this by resolving against the `defaults` channel, which is much smaller. Do the same for x64: bootstrap conda 23.10 and the libmamba solver from `defaults` (pinned, so the old solver does not search the whole graph), then install the conda-forge packages with libmamba. This also drops the separate CMake solve, which the old solver previously handled but which now adds another chance to backtrack.
added 4 commits
October 28, 2026 10:47
conda 23.10.0 from defaults depends on conda-libmamba-solver >=23.11.0, so pinning 23.9.3 made the bootstrap unsatisfiable. Pin the newest defaults build, 23.12.0, which also matches conda's menuinst constraint.
The conda_ompi_all job mixes conda-forge with defaults. Its libmamba solve intermittently takes more than 1.5 hours on that graph, at which point the hosted runner shuts down during Setup conda. All dependencies are available on conda-forge, which conda.yml already declares, and a conda-forge-only solve of the same environment completes in seconds. Drop the extra defaults channel to make the setup reliable.
The x64 job previously bootstrapped conda from `defaults` in order to get a fast libmamba solver. Avoid `defaults` entirely for licensing reasons: download the standalone micromamba binary and create the environment from conda-forge only. The x86 job keeps using the preinstalled Miniconda and `defaults`, since that is the only channel still providing Python 3.10 for Win32.
franzpoeschel
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Follow-up to #1947, Appveyor broke again