// non-empty. Unlike [SplitFunc], leading and trailing runs of code points
// satisfying f(c) are discarded.
//
// FieldsFunc makes no guarantees about the order in which it calls f(c)
// and assumes that f always returns the same value for a given c.
func FieldsFunc(s []byte, f func(rune) bool) [][]byte {
	// A span is used to record a slice of s of the form s[start:end].

	if lcEvent.Action.DeleteAll() {
		opts.DeletePrefix = true
		// use prefix delete on exact object (this is an optimization to avoid fan-out calls)
		opts.DeletePrefixObject = true
	}
	var (
		dobj ObjectInfo
		err  error
	)

	timeILM := globalScannerMetrics.timeILM(lcEvent.Action)
	defer func() {
		if !ok {
			return

        /*
         * We really should do the referral before this in case
         * the redirected target has different capabilities. But
         * the way we have been doing that is to call exists() which
         * calls this method so another technique will be necessary
         * to support DFS referral _to_ Win95/98/ME.
         */

        // Optimization: Prefer SMB2 approach for better performance
        if (th.isSMB2()) {

### Client
* Use Prometheus instrumentation conventions ([#36704](https://github.com/kubernetes/kubernetes/pull/36704), [@fabxc](https://github.com/fabxc))
* Clients now use the `?watch=true` parameter to make watch API calls, instead of the `/watch/` path prefix ([#41722](https://github.com/kubernetes/kubernetes/pull/41722), [@liggitt](https://github.com/liggitt))

// --------------------------------------------------------------------------
TF_SessionOptions* TF_NewSessionOptions() {
  TF_SessionOptions* out = new TF_SessionOptions;
  // Disable optimizations for static graph to allow calls to Session::Extend.
  out->options.config.mutable_experimental()
      ->set_disable_optimize_for_static_graph(true);
  return out;
}
void TF_DeleteSessionOptions(TF_SessionOptions* opt) { delete opt; }

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Setup a session and a partial run handle.  The partial run will allow
  // computation of A + 2 + B in two phases (calls to TF_SessionPRun):
  // 1. Feed A and get (A+2)
  // 2. Feed B and get (A+2)+B
  TF_SessionOptions* opts = TF_NewSessionOptions();
  TF_Session* sess = TF_NewSession(graph, opts, s);
  TF_DeleteSessionOptions(opts);

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val executor = Executors.newScheduledThreadPool(1)
      private val client = OkHttpClient()

      fun run() {

   * constructors very wisely did not accept varargs.)
   *
   * @param initialArraySize the exact size of the initial backing array for the returned array list
   *     ({@code ArrayList} documentation calls this value the "capacity")
   * @return a new, empty {@code ArrayList} which is guaranteed not to resize itself unless its size
   *     reaches {@code initialArraySize + 1}

initialization in the presence of multiple goroutines
through the use of the <code>Once</code> type.
Multiple threads can execute <code>once.Do(f)</code> for a particular <code>f</code>,
but only one will run <code>f()</code>, and the other calls block
until <code>f()</code> has returned.
</p>

<p class="rule">
The completion of a single call of <code>f()</code> from <code>once.Do(f)</code>

					ObjectOptions{
						DeletePrefix:       true, // use prefix delete to delete all versions at once.
						DeletePrefixObject: true, // use prefix delete on exact object (this is an optimization to avoid fan-out calls)
						NoAuditLog:         true,
					},
				)
				stopFn(0, err)
				auditLogDecom(ctx, "DecomDeleteObject", bi.Name, entry.name, "", err)
				if err != nil {
					decomLogIf(ctx, err)
				}
			}