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Sporadic failures using mamba-version: "*"
#274
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observing the same today https://github.com/gdsfactory/gdsfactory/actions/runs/3906659862/jobs/6675080754 |
Also observing this. https://github.com/andersen-lab/Freyja/actions/runs/3907050506. Thanks @victorlin for posting the workaround. |
I also found the same error on https://github.com/apache/zeppelin/actions/runs/3901061183/jobs/6665542729 |
If you are not interested in using
|
This is in hopes of resolving sporadic errors. Ref: <conda-incubator/setup-miniconda#274>
* Adjust setup-miniconda parameters This is in hopes of resolving sporadic errors. Ref: <conda-incubator/setup-miniconda#274> * Adjust setup-miniconda for benchmarks * Remove matrix entry in benchmarks
@traversaro thanks, I've updated the list of workarounds in the issue description and put that one first since it is the more popular one. |
Note that |
I have been having the following error with
with this in my
(example PR with errors earlier: matplotlib/cmocean#88) and workaround 1 above worked for me! |
* 🎨 [scripts.utils.vcf] Use format keys for samples * ✨ [vcf.VcfFix] Dedent envs.helpers automatically and allow it to be list of strings * 🧑💻 [tcr.CloneResidency] Add count table and allow grouping samples in the report * 🧑💻 [cnvkit.CNVkitCall] Allow not passing threshold * 🧑💻 [cnvkit.CNVkitCall] Allow setting cutoff to fetch significant genes for enrichment analysis * 🧑💻 [scrna.SeuratPreparing/SeuratClustering] Do QC in SeuratPreparing only and prepare clustering in SeuratClustering * ✨ [cnvkit_pipeline] Allow customization of colnames in metafile * 💚 Fix CI (conda-incubator/setup-miniconda#274) * 🔖 0.6.2
This is affecting me too on https://github.com/rosepearson/GeoFabrics/actions/runs/3925803401/jobs/6710960393. I'll look at work around 1 thanks, |
Documented work around in conda-incubator/setup-miniconda#274 in response to transient errors
* Update pyproject.toml - Update version * Update GH actions test to try fix broken install by use Mambaforge * Documented work around in conda-incubator/setup-miniconda#274 in response to transient errors * Update PR template * Updated tests after OSM edits
- Per the workaround in "conda-incubator/setup-miniconda#274 (comment)" - Set to use mamba over conda
I created a minimum working example for this issue using different OS and Python versions: https://github.com/padix-key/gha-mamba In this setup this issue only affects Ubuntu builds: https://github.com/padix-key/gha-mamba/actions/runs/4044454081 |
Hi @padix-key thanks for the example! |
Workaround mentioned in conda-incubator/setup-miniconda#274
Workaround mentioned in conda-incubator/setup-miniconda#274
Trying fixes from conda-incubator/setup-miniconda#274
* AH-1801 Change key dtypes to match * AH-1801 update workflow file - Trying fixes from conda-incubator/setup-miniconda#274 * AH-1801 fix pylint errors
* AH-1801 Change key dtypes to match * AH-1801 update workflow file - Trying fixes from conda-incubator/setup-miniconda#274 * AH-1801 fix pylint errors
Changes: * Used a workaround to fix a CI action ## Related Issue / Discussion conda-incubator/setup-miniconda#274
- having errors with mamba in macos test, trying workaround as noted here: conda-incubator/setup-miniconda#274 (comment)
- having errors with mamba in macos test, trying workaround as noted here: conda-incubator/setup-miniconda#274 (comment)
In an updated version of https://github.com/padix-key/gha-mamba (updated |
(originally from nextstrain/augur#1125)
Description
I'm aware that using
mamba-version
is an experimental feature, and some instability can be expected.However, I've noticed that it's been failing more often than usual on at least two repos managed by my team @nextstrain.
The error is not very useful:
I've compared a failing run with a successful re-run of the same workflow. There are some notable differences in the output of
conda config --show
:I do not understand why there are differences in Python versions and other conda config between two runs of the same workflow.
Known Workarounds
1. Use Mambaforge
mamba-version
.miniforge-variant: Mambaforge
(and optionallyminiforge-version
).Example: nextstrain/cli@4a76497
2. Use the new libmamba solver
Note that this workaround can introduce a separate issue when used on
windows-2022
: conda/conda#12161.Remove
mamba-version
.Run this after the
setup-miniconda
step:Replace
mamba install
withconda install
.Example: nextstrain/augur@344ed51
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