Get the asv benchmarking job working again#2028
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kandersolar merged 1 commit intopvlib:mainfrom May 2, 2024
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Another idea is to use
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I considered micromamba, but the version of asv we use doesn't support it. It might be possible to switch to mamba when we eventually update to a newer version of asv, but that's a bigger job than what I am willing to take on here. |
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Merging without review due to this being a "maintain the status quo" PR to fix a minor CI job. |
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install an older version of conda in ASV CI job
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[ ] Closes #xxxx[ ] Tests added[ ] Updates entries indocs/sphinx/source/referencefor API changes.[ ] Adds description and name entries in the appropriate "what's new" file indocs/sphinx/source/whatsnewfor all changes. Includes link to the GitHub Issue with:issue:`num`or this Pull Request with:pull:`num`. Includes contributor name and/or GitHub username (link with:ghuser:`user`).[ ] New code is fully documented. Includes numpydoc compliant docstrings, examples, and comments where necessary.remote-data) and Milestone are assigned to the Pull Request and linked Issue.Continuing my push to get the CI back to all green checkmarks. The ASV job has been failing for a few weeks because the latest versions of conda renamed a certain option that asv uses to create the benchmarking environments. This PR ensures that a compatible version of conda is installed and available for asv's use. It's not really ideal to pin an older version of conda, but I don't see any real harm given that we're already pinning an older version of asv. We can just remove it when we eventually update to a newer version of asv.