// call will report top level prefixes in deleted state, whereas spark/hadoop interpret this as non-empty
		// and throw a 404 exception. This is especially a problem for spark jobs overwriting the same partition
		// repeatedly. This workaround recursively lists the top 3 entries including delete markers to reflect the
		// correct state of the directory in the list results.

				t.Fatalf("Expected %v but got %v", test.want, got)
			}
		})
	}
}

func TestBatchJobSizeValidate(t *testing.T) {
	errInvalidBatchJobSizeFilter := BatchJobYamlErr{
		msg: "invalid batch-job size filter",
	}

	tests := []struct {
		sizeFilter BatchJobSizeFilter
		err        error
	}{
		{
			// Unspecified size filter is a valid filter
			sizeFilter: BatchJobSizeFilter{
				UpperBound: 0,

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to ci-cross/latest.txt. Users should know exactly where the builds are stored on Google Cloud storage buckets from now on. For example for 1.9 and 1.10, users can specify ci/latest-1.9 and ci/latest-1.10 as the CI build jobs what build images correctly updates those. The CI jobs for master update the ci-cross/latest location, so if you are looking for latest master builds, then the correct parameter to use would be ci-cross/latest. ([#63504](https://github.com/kubernetes/kubernetes/pull/63504), ...

- Failed pods associated with a job with `parallelism = 1` are recreated by the job controller honoring exponential backoff delay again. However, for jobs with `parallelism > 1`, pods might be created without exponential backoff delay. ([#115022](https://github.com/kubernetes/kubernetes/pull/115022), [@nikhita](https://github.com/nikhita)) [SIG...

Krishnan Parthasarathi <******@****.***> 1701514293 -0800

Krishnan Parthasarathi <******@****.***> 1701514293 -0800

        classification.

*   `tf.data`:

    *   Added support for cross-trainer data caching in tf.data service. This
        saves computation resources when concurrent training jobs train from the
        same dataset. See
        (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers)
        for more details.

import org.codelibs.fess.helper.JobHelper;
import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.job.JobExecutor;
import org.codelibs.fess.util.ComponentUtil;
import org.lastaflute.job.JobManager;
import org.lastaflute.job.LaJob;
import org.lastaflute.job.LaJobRuntime;
import org.lastaflute.job.key.LaJobUnique;

public class ScriptExecutorJob implements LaJob {

            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "topk(1, sum(minio_cluster_capacity_usable_total_bytes{job=~\"$scrape_jobs\"}) by (instance)) - topk(1, sum(minio_cluster_capacity_usable_free_bytes{job=~\"$scrape_jobs\"}) by (instance))",
          "format": "time_series",
          "instant": false,
          "interval": "1m",
          "intervalFactor": 1,