ci(datasets): Accelerate CI using uv
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astrojuanlu
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Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
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astrojuanlu
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uv
Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
See astral-sh/uv#1988 Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
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Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
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I could work around some problems of |
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Out of interest- what's the rough difference in time? |
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In the worst case, from minutes to seconds |
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This is now ready! |
merelcht
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Mar 1, 2024
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CI won't pass because of the ongoing kedro-docker breakage. So I'll wait for the rest of the checks to go green and then I'll merge. |
Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com>
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* Rename ill-named CI check for docs Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Use uv to accelerate dependency installation on CI Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Use smaller dataset for Hugging Face doctest Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Fix pytest invokation on Windows See astral-sh/uv#1988 Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Definitive fix to Hugging Face doctest Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Trigger CI Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Debug Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> * Bump to next uv version * Restore pytest invokation * Upgrade to latest version of uv * Fix pyproject.toml * Make docs check plugin-specific Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> --------- Signed-off-by: Juan Luis Cano Rodríguez <juan_luis_cano@mckinsey.com> Signed-off-by: tgoelles <thomas.goelles@gmail.com>
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RELEASE.mdfile