tryDrainReferenceQueues();
        return null;
      }

      return value;
    }

    /**
     * Performs routine cleanup following a read. Normally cleanup happens during writes, or from
     * the cleanupExecutor. If cleanup is not observed after a sufficient number of reads, try
     * cleaning up from the read thread.
     */
    void postReadCleanup() {

			"internalIP": "fd00:10:96::1",
			"ingressIP":  "fd00:10:96::2",
		},
	}
	for _, dir := range files {
		if !dir.IsDir() {
			continue
		}
		testdir := path.Join("testdata/vmconfig", dir.Name())
		t.Cleanup(func() {
			for k := range generated {
				os.Remove(path.Join(testdir, k))
			}
		})
		t.Run(dir.Name(), func(t *testing.T) {
			createClientFunc := func(client kube.CLIClient) {

            } catch (final InterruptedException e) {
                logger.warn("Interrupted job at {}", parentThread.getName());
            }
        }
    }

    public void cleanup(final String sessionId) {
        // TODO transaction?
        urlQueueService.delete(sessionId);
        dataService.delete(sessionId);
        urlFilter.clear();
    }

    @Override

	) (*discovery.DiscoveryResponse, error) {
		return &discovery.DiscoveryResponse{}, nil
	}
	t.Cleanup(func() {
		multixds.GetXdsResponse = xds.GetXdsResponse
	})

	for i, c := range cases {
		t.Run(fmt.Sprintf("case %d %s", i, strings.Join(c.args, " ")), func(t *testing.T) {

  # RECORD file which contains hashes of all included files.
  python3 -m wheel pack "${pkg_name}"
done

# Switch back to the original working directory. This is needed to ensure that
# cleanup steps at the end of the script works as expected.
popd

echo "Following installer wheels were generated: "
ls "${TFCI_OUTPUT_DIR}"/*.whl

if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then

	t.Helper()
	server = httptest.NewUnstartedServer(handler)
	server.Config.Addr = listener.Addr().String()
	server.Listener = listener
	server.Start()
	// t.Cleanup(server.Close)
	t.Log("Started server on", server.Config.Addr, "URL:", server.URL)
	return server

            }
            buf.append(systemHelper.getCurrentTimeAsLong() - execTime).append("ms");
            if (cleanupTime >= 0) {
                buf.append(", cleanup ").append(cleanupTime).append("ms");
            }
            buf.append("}, ");
            buf.append(MemoryUtil.getMemoryUsageLog());
            buf.append(')');
            logger.info(buf.toString());

		var exit bool
		for !exit {
			select {
			case <-t.C:
			case <-GlobalContext.Done():
				exit = true
			}
			m.mu.RLock()
			for _, v := range m.buckets {
				if !exit {
					v.cleanup()
				}
			}
			m.mu.RUnlock()
			m.mu.Lock()
			for k, v := range m.trash {
				if time.Since(v.lastUpdate) > metacacheMaxRunningAge {
					v.delete(context.Background())
					delete(m.trash, k)
				}

  - [Changelog since v1.21.8](#changelog-since-v1218)
  - [Changes by Kind](#changes-by-kind-4)
    - [Feature](#feature-2)
    - [Bug or Regression](#bug-or-regression-4)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake)
  - [Dependencies](#dependencies-5)
    - [Added](#added-5)
    - [Changed](#changed-5)
    - [Removed](#removed-5)
- [v1.21.8](#v1218)
  - [Downloads for v1.21.8](#downloads-for-v1218)

  // a trainable dtype.
  bool ShouldRecord(
      absl::Span<const AbstractTensorHandle* const> tensors) const;
  // Unwatches this tensor on the tape. Mainly used for cleanup when deleting
  // eager tensors.
  void DeleteTrace(const AbstractTensorHandle*);

  // Consumes the internal state of the tape (so cannot be called more than