lastHandout:  metaCacheTestsetTimestamp,
		dataVersion:  metacacheStreamVersion,
	},
	8: {
		id:           "case-8-finished-a-week-ago",
		bucket:       "bucket",
		root:         "folder/finished",
		recursive:    false,
		status:       scanStateSuccess,
		fileNotFound: false,
		error:        "",
		started:      metaCacheTestsetTimestamp.Add(-7 * 24 * time.Hour),

        const fileData = await loadCodeownersFile(pr.author, pr.repo, token, pathToCodeOwners);
        console.log("Finished loading codeowners file: " + fileData);
        const mapping = codeownersMapping(fileData);
        console.log("Finished codeowners mapping: " + mapping);

        const result = new Map()
        files.map(f => {
            console.log("Resolving owners for: " + f);

	// the entry will be empty and errs will
	partial func(entries metaCacheEntries, errs []error)

	// finished will be called when all streams have finished and
	// more than one disk returned an error.
	// Will not be called if everything operates as expected.
	finished func(errs []error)
}

// listPathRaw will list a path on the provided drives.
// See listPathRawOptions on how results are delivered.

        private final DataConfig dataConfig;

        private final IndexUpdateCallback indexUpdateCallback;

        private final DataStoreParams initParamMap;

        protected boolean finished = false;

        protected boolean running = false;

        private DataStore dataStore;

        protected DataCrawlingThread(final DataConfig dataConfig, final IndexUpdateCallback indexUpdateCallback,

                if (scheduledJob.isLoggingEnabled() && logger.isInfoEnabled()) {
                    logger.info("Finished Job {}.", id);
                }
            } else {
                if (scheduledJob.isLoggingEnabled() && logger.isInfoEnabled()) {
                    logger.info("Finished Job {}. The return value is:\n{}", id, ret);
                }
                jobLog.setScriptResult(ret.toString());

  optional JobTemplateSpec jobTemplate = 5;

  // The number of successful finished jobs to retain.
  // This is a pointer to distinguish between explicit zero and not specified.
  // Defaults to 3.
  // +optional
  optional int32 successfulJobsHistoryLimit = 6;

  // The number of failed finished jobs to retain.
  // This is a pointer to distinguish between explicit zero and not specified.

  optional JobTemplateSpec jobTemplate = 5;

  // The number of successful finished jobs to retain. Value must be non-negative integer.
  // Defaults to 3.
  // +optional
  optional int32 successfulJobsHistoryLimit = 6;

  // The number of failed finished jobs to retain. Value must be non-negative integer.
  // Defaults to 1.
  // +optional
  optional int32 failedJobsHistoryLimit = 7;

So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

Then the computer / program 🤖 will come back every time it has a chance because it's waiting again, or whenever it 🤖 finished all the work it had at that point. And it 🤖 will see if any of the tasks it was waiting for have already finished, doing whatever it had to do.

    timeout.enter()
    callStart()
    try {
      client.dispatcher.executed(this)
      return getResponseWithInterceptorChain()
    } finally {
      client.dispatcher.finished(this)
    }
  }

  override fun enqueue(responseCallback: Callback) {
    check(executed.compareAndSet(false, true)) { "Already Executed" }

    callStart()

      jarTask,
    )
  bundleExtension.run {
    setClasspath(osgi.compileClasspath + sourceSets["main"].compileClasspath)
    bnd(*bndProperties)
  }
  // Call the convention when the task has finished, to modify the jar to contain OSGi metadata.
  jarTask.doLast {
    bundleExtension.buildAction().execute(this)
  }
}

val Project.sourceSets: SourceSetContainer