Comments (4)
See conda-forge/staged-recipes#17923
We need a new conda release to support the code paths needed by the conda-libmamba-solver, and that's why it fails, but the recipe will be essentially the same (with the lower bounds for conda set at 4.12, I guess).
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Before we get to that point of doing the conda release, we should build the package in place and upload it to anaconda.org using the canary-release action we have in https://github.com/conda/actions, would that work? E.g. can we specify a channel from which to get the conda build in the recipe?
Since I thought we can now:
- Build a conda canary package using the "build::review" label, which is then uploaded to the conda-canary channel.
- Implement the recipe inline in this repo to make use of the same technique, basically having both conda (with libmamba logic) and conda-libmamba-solver in the conda-canary channel?
from conda-libmamba-solver.
Opened #5
from conda-libmamba-solver.
Closing since this is fixed.
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Related Issues (20)
- Can't add additional packages to enviornment created from lock file HOT 3
- Scheduled tests failed HOT 1
- Scheduled tests failed HOT 1
- Scheduled tests failed HOT 1
- libmamba solver doesn't match when uninstalling with wildcard HOT 2
- Scheduled tests failed HOT 1
- [DX] Update `bashrc.sh` to be compatible with libmamba v2
- Scheduled tests failed HOT 1
- conda `fetch_latest_path` interface may still read repodata into memory HOT 2
- PluginError: Error while loading conda plugins from entrypoints: libarchive.so.19: cannot open shared object file: No such file or directory HOT 1
- `conda update --all` is not idempotent HOT 1
- Scheduled tests failed HOT 1
- `conda update --all` is not idempotent HOT 7
- Support for build_number in MatchSpec HOT 6
- PackagesNotFoundError listing more than missing package HOT 8
- Installing packages in different order gives totally different versions HOT 4
- Scheduled tests failed
- Error "No module named pip" with Python2.7 HOT 4
- libmamba picks a build for the wrong Python version
- i have issue installing tensorflow-gpu
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