defer t.updating.Unlock()

	if time.Since(time.UnixMilli(t.lastUpdateMs.Load())) < ttl {
		// There is a new value, release lock and return it.
		if v = t.val.Load(); v != nil {
			return *v, nil
		}
	}

	if err := t.update(ctx); err != nil {
		var empty T
		return empty, err
	}

	return *t.val.Load(), nil
}

// Get will return a cached value or fetch a new one.

set maven.installation.conf default ${maven.conf}

[plexus.core]
load       ${maven.conf}/logging
optionally ${maven.home}/lib/ext/redisson/*.jar
optionally ${maven.home}/lib/ext/hazelcast/*.jar
optionally ${user.home}/.m2/ext/*.jar
optionally ${maven.home}/lib/ext/*.jar
load       ${maven.home}/lib/maven-*.jar

| `minio_node_cpu_avg_load5`           | CPU load average 5min.                     |
| `minio_node_cpu_avg_load5_avg`       | CPU load average 5min (avg).               |
| `minio_node_cpu_avg_load5_max`       | CPU load average 5min (max).               |
| `minio_node_cpu_avg_load5_perc`      | CPU load average 5min (percentage).        |

  __path__.append(_tf_api_dir)

# Hook external TensorFlow modules.

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v2/3.
_tf_uses_legacy_keras = (

func (t *testLogger) IsOnline(ctx context.Context) bool {
	return t.current.Load() != nil
}

func (t *testLogger) Cancel() {
	t.current.Store(nil)
}

func (t *testLogger) Send(ctx context.Context, entry interface{}) error {
	tb := t.current.Load()
	var logf func(format string, args ...any)
	if tb != nil {
		tbb := *tb
		tbb.Helper()
		switch t.action.Load() {
		case errorMessage:
			logf = tbb.Errorf

			group := path.Dir(item)
			if err := iamOS.loadGroup(ctx, group, cache.iamGroupsMap); err != nil && err != errNoSuchGroup {
				return fmt.Errorf("unable to load the group: %w", err)
			}
		}
		if took := time.Since(groupsLoadStartTime); took > maxIAMLoadOpTime {
			logger.Info("Groups load took %.2fs (for %d items)", took.Seconds(), len(groupsList))
		}
	}

	bootstrapTraceMsgFirstTime("loading user policy mapping")

load(
    "//tensorflow:tensorflow.bzl",
    "tf_cc_test",
)
load("//tensorflow:tensorflow.default.bzl", "filegroup")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Currently pybind extension shared objects must use only C API headers since

			b.Run("UpdateObjectVersion", func(b *testing.B) {
				b.SetBytes(int64(size))
				b.ResetTimer()
				b.ReportAllocs()
				for i := 0; i < b.N; i++ {
					// Load...
					xl = xlMetaV2{}
					err := xl.Load(enc)
					if err != nil {
						b.Fatal(err)
					}
					// Update modtime for resorting...
					fi.ModTime = fi.ModTime.Add(-time.Second)
					// Update a random version.

        }
    }

    /**
     * Load the <code>Config</code> with properties from the stream
     * <code>in</code> from a <code>Properties</code> file.
     */

    public static void load( InputStream in ) throws IOException {
        if( in != null ) {
            prp.load( in );
        }
        try {

# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (