// Set the parent of the temporary access key, this is useful
	// in obtaining service accounts by this cred.
	cred.ParentUser = ldapUserDN

	// Set this value to LDAP groups, LDAP user can be part
	// of large number of groups
	cred.Groups = groupDistNames

	// Set the newly generated credentials, policyName is empty on purpose
	// LDAP policies are applied automatically using their ldapUser, ldapGroups
	// mapping.

   *
   * @param estimatedSize an estimate of the eventual {@link List#size()} of the new list
   * @return a new, empty {@code ArrayList}, sized appropriately to hold the estimated number of
   *     elements
   * @throws IllegalArgumentException if {@code estimatedSize} is negative
   */
  @GwtCompatible(serializable = true)

     * SID_TYPE_USER.
     * 
     * @param authorityServerName The server from which the local groups will be queried.
     * @param auth The credentials required to query groups and group members.
     * @param flags Flags that control the behavior of the operation. When all
     * name associated with SIDs will be required, the SID_FLAG_RESOLVE_SIDS

}

func isDirObject(object string) bool {
	if obj := encodeDirObject(object); obj != object {
		object = obj
	}
	return HasSuffix(object, globalDirSuffix)
}

// Helper method to return total number of nodes in cluster
func totalNodeCount() int {
	totalNodesCount := len(globalEndpoints.Hostnames())
	if totalNodesCount == 0 {
		totalNodesCount = 1 // For standalone erasure coding
	}
	return totalNodesCount

filegroup(
    name = "tensorflow_def_file",
    srcs = [":tf_custom_op_library_additional_deps.dll"],
    output_group = "def_file",
)

# Filter the DEF file to reduce the number of symbols to 64K or less.
# Note that we also write the name of the pyd file into DEF file so that
# the dynamic libraries of custom ops can find it at runtime.
genrule(
    name = "tensorflow_filtered_def_file",

// executed in sequence. Assigning nodes to different executors allows executing
// nodes in parallel.
// in_flight_nodes_limit: when is_async is true, this value controls the
// maximum number of in flight async nodes. Enqueuing of additional async ops
// after the limit is reached blocks until some inflight nodes finishes.
// The effect is bounding the memory held by inflight TensorHandles that are

labels.searchlog_usersessionid=User ID
labels.searchlog_requestedtime=Time
labels.searchlog_accesstype=Access Type
labels.maintenance_title_configuration=Maintenance
labels.number_of_shards_for_doc=The number of shards
labels.auto_expand_replicas_for_doc=Auto expand replicas
labels.clear_crawler_index=Crawler Indices
labels.clear_crawler_index_button=Clear Crawler Indices
labels.diagnostic_logs=Diagnostic

    // for 5.5 seconds happens about 2% of the time.
    boolean longWait = NANOSECONDS.toSeconds(thread.timeSpentBlocked) >= 5;
    // Count how long it actually took to return; we'll accept any number between the expected delay
    // and the approximate actual delay, to be robust to variance in thread scheduling.
    char overWaitNanosFirstDigit =

   *     context.getCacheDir()}), and create your own directory under that. (For example, you might
   *     use {@code new File(context.getCacheDir(), "directoryname").mkdir()}, or, if you need an
   *     arbitrary number of temporary directories, you might have to generate multiple directory
   *     names in a loop until {@code mkdir()} returns {@code true}.) For JRE users, prefer {@link

  |
  | o need to clean up all the descriptions, matching anything to the current project-descriptor.xml file and
  |   improving on that
  |
  | o use enums where appropriate (eg dependency scope)
  |
  | o a number of elements have a groupId/artifactId and sometimes version. It would be good to have them all extend one
  |   definition of these types
  |
-->