}

  private static AssertionError sanityError(
      Class<?> cls, List<String> explicitTestNames, String description, Throwable e) {
    String message =
        String.format(
            Locale.ROOT,
            "Error in automated %s of %s\n"
                + "If the class is better tested explicitly, you can add %s() to %sTest",
            description,
            cls,
            explicitTestNames.get(0),

  // Specifies the target ResourceVersion
  // +optional
  optional string resourceVersion = 2;
}

// RootPaths lists the paths available at root.
// For example: "/healthz", "/apis".
message RootPaths {
  // paths are the paths available at root.
  repeated string paths = 1;
}

        if (locale != null) {
            final String lang = locale.getLanguage();
            if (ComponentUtil.getFessConfig().isOnlineHelpSupportedLang(lang)) {
                target = lang.toUpperCase(Locale.ROOT);
            }
        }
        return url.replaceFirst("\\{lang\\}", target == null ? "EN" : target);
    }

    public String getHelpLink(final String name) {

  }

  private static String nameFor(
      Method method, Scenario scenario, boolean fair, Timeout timeout, Outcome expectedOutcome) {
    return String.format(
        Locale.ROOT,
        "%s%s(%s)/%s->%s",
        method.getName(),
        fair ? "(fair)" : "(nonfair)",
        (timeout == null) ? "untimed" : timeout,
        scenario,
        expectedOutcome);
  }

The user setting up replication needs *s3:GetReplicationConfiguration* and *s3:GetBucketVersioning* permission on the source cluster. We do not recommend running root credentials/super admin with replication, instead create a dedicated user. The access credentials used at the destination requires *s3:ReplicateObject* permission.

    longer supported for development). Use TF SIG Build Dockerfiles in
    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash

	if globalSiteReplicationSys.isEnabled() && cred.AccessKey != siteReplicatorSvcAcc {
		nsecret, err := getTokenSigningKey()
		if err != nil {
			return nil, toAPIErrorCode(r.Context(), err)
		}
		// sign root's temporary accounts also with site replicator creds
		if cred.ParentUser != globalActiveCred.AccessKey || cred.IsTemp() {
			secret = nsecret
		}
	}
	if cred.IsServiceAccount() {
		token = cred.SessionToken

	s.diskInfoCache.InitOnce(time.Second, cachevalue.Opts{},
		func(ctx context.Context) (DiskInfo, error) {
			dcinfo := DiskInfo{}
			di, root, err := getDiskInfo(s.drivePath)
			if err != nil {
				return dcinfo, err
			}
			dcinfo.RootDisk = root
			dcinfo.Major = di.Major
			dcinfo.Minor = di.Minor
			dcinfo.Total = di.Total
			dcinfo.Free = di.Free
			dcinfo.Used = di.Used

  ]]></description>
  <classes>
    <class rootElement="true" xml.tagName="plugin" xdoc.anchorName="plugin">
      <name>PluginDescriptor</name>
      <version>1.0.0+</version>
      <description>Root element of the {@code plugin.xml} file.</description>
      <fields>
        <field>
          <name>name</name>
          <version>1.0.0+</version>
          <description>Name of the plugin.</description>

      int tableIndex = smearedHash(object) & mask;
      int next = CompactHashing.tableGet(table, tableIndex);
      int srcNext = srcIndex + 1;
      if (next == srcNext) {
        // we need to update the root pointer
        CompactHashing.tableSet(table, tableIndex, dstIndex + 1);
      } else {
        // we need to update a pointer in an entry
        int entryIndex;
        int entry;
        do {