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* Vertex AI pipelines client: list pipelines. * Very initial version of run once. * Pass parameters to pipeline job. * Add type annotation to task passed to _configure_resources. * Remove image pull policy parameter as it's not supported. * Mlflow component. * Add mlflow component and pass run id to downstream components. * Rename ops to tasks. * Wait for completion. * Remove io.py file as it's not used anyway. * Pre-commit fixes. * Test if resources are correctly added to the pipeline spec. * Test that resources section is not added to spec if it wasn't specified. * Test grouping nodes. * Test adds mlflow task. * Test runner and runner config in args. * Finish other tests. * Add unittest.skip to test_should_remove_old_schedule for now. * List pipelines test. * Test compile. * Patch mlflow is enabled when setting mlflow tags. * Update test_run_once_with_wait test. * Update changelog. * Remove image_pull_policy from the config and add the description of this change to changelog. * Remove 'layer' parameter from datasets as it's deprecated. * Changelog: add description of the --timeout-seconds flag removal. * Soften kfp version requirement, modify one import so that it works using multiple kfp versions. * Remove commented-out line. * Remove passing image_pull_policy to compile. * Update python version in cicd.
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