}
				} else {
					if err := job.Replicate.Start(job.ctx, j.objLayer, *job); err != nil {
						if !isErrBucketNotFound(err) {
							batchLogIf(j.ctx, err)
							j.canceler(job.ID, false)
							continue
						}
						// Bucket not found proceed to delete such a job.
					}
				}
			case job.KeyRotate != nil:
				if err := job.KeyRotate.Start(job.ctx, j.objLayer, *job); err != nil {

            "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,

          "type": "prometheus",
          "uid": "${DS_PROMETHEUS}"
        },
        "definition": "label_values(job)",
        "hide": 0,
        "includeAll": false,
        "multi": false,
        "name": "scrape_jobs",
        "options": [],
        "query": {
          "query": "label_values(job)",
          "refId": "StandardVariableQuery"
        },
        "refresh": 1,
        "regex": "",

          "type": "prometheus",
          "uid": "${DS_PROMETHEUS}"
        },
        "definition": "label_values(job)",
        "hide": 0,
        "includeAll": false,
        "multi": false,
        "name": "scrape_jobs",
        "options": [],
        "query": {
          "query": "label_values(job)",
          "refId": "StandardVariableQuery"
        },
        "refresh": 1,
        "regex": "",

    cache.maxSize = 8
    taskFaker.runNextTask()
    set("a", "aa", "aa")
    set("b", "bb", "bbb")

    // Cause the cache trim job to fail.
    filesystem.setFaultyDelete(cacheDir / "a.0", true)
    taskFaker.runNextTask()

    // An edit should now add a job to clean up if the most recent trim failed.
    assertThat(cache.edit("b")).isNull()
    taskFaker.runNextTask()

  //
  //  Worker1:
  //  cluster { job { name: "client" tasks { key: 0 value: "localhost:14525" } }
  //            job { name: "worker" tasks { key: 1 value: "localhost:14523" } }
  //          } job_name: "worker" task_index: 1 protocol: "grpc"
  //
  //  Worker0:
  //  cluster { job { name: "client" tasks { key: 0 value: "localhost:14526" } }
  //            job { name: "worker" tasks { key: 0 value: "localhost:14522" } }

			<version>${commons.fileupload.version}</version>
		</dependency>

		<!-- scheduler -->
		<dependency>
			<groupId>org.lastaflute.job</groupId>
			<artifactId>lasta-job</artifactId>
			<version>${lasta.job.version}</version>
		</dependency>

		<!-- mail -->
		<dependency>
			<groupId>org.dbflute.mail</groupId>
			<artifactId>mailflute</artifactId>

import org.codelibs.fess.util.JvmUtil;
import org.codelibs.fess.util.PrunedTag;
import org.dbflute.optional.OptionalThing;
import org.dbflute.util.DfTypeUtil;
import org.lastaflute.job.LaJob;
import org.lastaflute.job.subsidiary.JobConcurrentExec;
import org.lastaflute.web.validation.RequiredValidator;
import org.lastaflute.web.validation.theme.typed.DoubleTypeValidator;

# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.
# For testing purposes, we want to see the runtime performance of an
# experimental job that is build-only, i.e, we only build the test targets and
# do not run them. By prefixing the configs with "build", we can run both
# `bazel build` and `bazel test` commands with the same config as test configs

                return null;
            }
            candidateSource = new FileModelSource(candidateModel.getPomPath());
        }

        //
        // TODO jvz Why isn't all this checking the job of the duty of the workspace resolver, we know that we
        // have a model that is suitable, yet more checks are done here and the one for the version is problematic