if cpuMetrics.LoadStat != nil {
		m.Set(sysCPULoad, cpuMetrics.LoadStat.Load1)
		perc := cpuMetrics.LoadStat.Load1 * 100 / float64(cpuMetrics.CPUCount)
		m.Set(sysCPULoadPerc, math.Round(perc*100)/100)
	}

	ts := cpuMetrics.TimesStat
	if ts != nil {
		tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal
		cpuUserVal := math.Round(ts.User/tot*100*100) / 100
		m.Set(sysCPUUser, cpuUserVal)

		}

		httpStats := globalBucketHTTPStats.load(bucket)
		for k, v := range httpStats.currentS3Requests.Load(false) {
			m.Set(apiRequestsInFlightTotal, float64(v), "bucket", bucket, "name", k, "type", "s3")
		}

		for k, v := range httpStats.totalS3Requests.Load(false) {
			m.Set(apiRequestsTotal, float64(v), "bucket", bucket, "name", k, "type", "s3")
		}

                raise CredentialRetrievalError(
                    provider=method,
                    error_msg=message % response.status,
                )

            creds = json.loads(response.data)

            query = {}
            query['Action'] = 'AssumeRoleWithClientGrants'
            query['Token'] = creds['access_token']
            query['DurationSeconds'] = creds['expires_in']

   * {@code key}, simply waits for that thread to finish and returns its loaded value. Note that
   * multiple threads can concurrently load values for distinct keys.
   *
   * <p>Caches loaded by a {@link CacheLoader} will call {@link CacheLoader#load} to load new values
   * into the cache. Newly loaded values are added to the cache using {@code

          <type>String</type>
        </field>
        <field>
          <name>classLoadingStrategy</name>
          <description>The class loading strategy: 'self-first' (the default), 'parent-first' (loads classes from the parent, then from the extension) or 'plugin' (follows the rules from extensions defined as plugins).</description>
          <version>1.1.0+</version>
          <defaultValue>self-first</defaultValue>

 * unloading an OSGi bundle.
 *
 * <p>{@code com.google.common.base.FinalizableReferenceQueue} loads this class in its own class
 * loader. That way, this class doesn't prevent the main class loader from getting garbage
 * collected, and this class can detect when the main class loader has been garbage collected and
 * stop itself.
 */

#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

# Initialize hermetic Python

        PropertiesUtil.load(properties, inputStreamReader);
    }

    /**
     * Test method for
     * {@link org.codelibs.core.io.PropertiesUtil#load(Properties, File)} .
     */
    @Test
    public void testLoadPropertiesFile() {
        final Properties properties = new Properties();
        PropertiesUtil.load(properties, inputFile);

   * {@link CacheLoader#load} calls to {@code loader}.
   */
  static <K, V> CacheLoader<K, V> bulkLoader(final CacheLoader<K, V> loader) {
    checkNotNull(loader);
    return new CacheLoader<K, V>() {
      @Override
      public V load(K key) throws Exception {
        return loader.load(key);
      }

      @Override

 */
public abstract class PropertiesUtil {

    /**
     * {@link Properties#load(InputStream)}の例外処理をラップします。
     * <p>
     * 入力ストリームはクローズされません。
     * </p>
     *
     * @param props
     *            プロパティセット。{@literal null}であってはいけません
     * @param in
     *            入力ストリーム。{@literal null}であってはいけません
     */
    public static void load(final Properties props, final InputStream in) {