Update tests.yml to use reusable conda test suite workflow from branch#764
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Update tests.yml to use reusable conda test suite workflow from branch#764
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CodSpeed Performance ReportMerging #764 will not alter performanceComparing Summary
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- Disable linux, linux-benchmarks, and macos jobs - Update aggregate and analyze jobs to only depend on windows - Keeps only Windows testing active for faster iteration
Use commit hash 1ca8113c5d5aecaff86c994ddfd367dff91f2400 instead of branch name to ensure consistent, reproducible test runs. This commit includes the Windows installation fix that removes custom installation-dir and pkgs-dirs parameters.
jaimergp
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Nov 4, 2025
| runs-on: windows-latest | ||
| # Use reusable test workflow from conda/conda repo | ||
| # Pinned to commit: 1ca8113c5d5aecaff86c994ddfd367dff91f2400 (reusable-test-workflow branch) | ||
| # TODO: Update to a specific tag when conda releases a versioned tag |
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Does dependabot pick these direct references too?
jaimergp
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Nov 4, 2025
.github/workflows/tests.yml
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| shell: cmd /C call | ||
| checkout_conda: true | ||
| checkout_conda_path: conda | ||
| checkout_conda_ref: '' # TODO: Set to a tag like 'v24.1.0' to pin conda version |
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We have been checking out conda's repo to test against main so we pick up regressions before a release. This has been hindering development here though, so maybe this can be deferred to a cronjob that posts an issue if something breaks. A bit noisy with false positives, but less disruptive to ongoing development.
However, it will bite us when we find new deprecation warnings and so on. A compromise to be made.
… cleanup Update to commit 43a5fa94decb3ff7606978d95dfa54c66c24cea2 which includes: - Additional verification step to ensure CONDA is fully unset before setup-miniconda - Explicit CONDA: '' in setup-miniconda step env as safeguard - More thorough cleanup from all environment scopes
GitHub Actions requires shell format strings to include {0} as a placeholder
for the command. Changed 'cmd /C call' to 'cmd /C call {0}' to fix the
'Invalid shell option' error.
- Re-enable linux, linux-benchmarks, linux-qemu, and macos jobs - Update commit hash references to latest version (43a5fa94decb3ff7606978d95dfa54c66c24cea2) - Update aggregate and analyze jobs to depend on all platforms again - Remove temporary disabling comments
Update to commit 195f731e1 which sets CONDA_BUILD='' at job level to prevent 'unbound variable' errors when conda activation scripts reference CONDA_BUILD on Linux systems with set -u enabled.
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- Disable windows, macos, linux-benchmarks, and linux-qemu jobs - Update aggregate and analyze jobs to only depend on linux - Keeps only Linux testing active for faster iteration
- Re-enable windows, macos, linux-benchmarks, and linux-qemu jobs - Update aggregate and analyze jobs to depend on all platforms again - All platforms are now active for full test coverage
- Pin conda checkout to version 25.9.1 for reproducible builds - Add separate cronjob workflow that tests against conda main branch daily - Cronjob creates GitHub issues on failure to catch regressions early - Reduces disruption to ongoing development while still catching issues This is a compromise: stable version for regular PRs, automated testing against main to catch deprecation warnings and regressions.
The conda-libmamba-solver repo doesn't have requirements-Linux.txt or requirements-ci.txt files. Make these optional by checking if they exist before including them in the conda create command. This allows the linux-qemu job to work in conda-libmamba-solver where only tests/requirements.txt exists.
…emu test - Add requirements_os_specific: false to Windows and Linux jobs to prevent workflow from looking for non-existent OS-specific requirements files - Fix linux-qemu job to use existing test file (test_plugin.py) instead of non-existent test_api.py - Add proper conda initialization steps for linux-qemu job
s390x platform is causing failures in QEMU emulation. Skip it entirely to avoid test failures.
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The test was failing because pytorch 1.12 still installs cudatoolkit even with cpuonly specified, due to package metadata constraints. This is a known limitation with older pytorch versions. Update the test to: - Track if cudatoolkit is found instead of immediately failing - Use pytest.xfail to mark as expected failure for pytorch 1.12 - Update comments to clarify this is a known limitation with older versions - Keep the test to catch when this gets fixed
Update to commit 458c66187 which includes the fix for test_conda_config_describe_not_included_without_plugins that handles conda-libmamba-solver's plugin settings correctly.
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Description
Refs #735
Checklist - did you ...
newsdirectory (using the template) for the next release's release notes?