allTasks.add(setFutureCompleteExceptionallyRunnable);
    allTasks.add(setFutureCancelRunnable);
    for (int k = 0; k < 50; k++) {
      // For each listener we add a task that submits it to the executor directly for the blocking
      // get use case and another task that adds it as a listener to the future to exercise both

		if err != nil {
			return np, grid.NewRemoteErr(err)
		}
		subSys := vars.Get(peerRESTSubSys)
		// Apply dynamic values.
		ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
		defer cancel()
		if subSys == "" {
			err = applyDynamicConfig(ctx, objAPI, srvCfg)
		} else {
			err = applyDynamicConfigForSubSys(ctx, objAPI, srvCfg, subSys)
		}
		if err != nil {
			return np, grid.NewRemoteErr(err)

    allTasks.add(setFutureCompleteExceptionallyRunnable);
    allTasks.add(setFutureCancelRunnable);
    for (int k = 0; k < 50; k++) {
      // For each listener we add a task that submits it to the executor directly for the blocking
      // get use case and another task that adds it as a listener to the future to exercise both

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

- Login as user **‘spark’**.

		r, size := utf8.DecodeRuneInString(s[i:])
		i += size
		// Officially, ZIP uses CP-437, but many readers use the system's
		// local character encoding. Most encoding are compatible with a large
		// subset of CP-437, which itself is ASCII-like.
		//
		// Forbid 0x7e and 0x5c since EUC-KR and Shift-JIS replace those
		// characters with localized currency and overline characters.
		if r < 0x20 || r > 0x7d || r == 0x5c {

  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({func_feed, five});
  Run({{func_feed, Int32Tensor(2)}}, func_op, 2 /*+=*/ + 5 + 1);

  // Verify input, output, and subset of edges in fdef.
  // The subset of edges we verify is a chain between feed1 and output to
  // make sure that the correct output is picked.
  tensorflow::FunctionDef fdef;
  ASSERT_TRUE(GetFunctionDef(func_, &fdef));

// `max_func`. In usual usage, max_func should be set to the result of
// TF_GraphNumFunctions(g). In this case, all the functions registered in
// `g` will be returned. Else, an unspecified subset.
//
// If successful, returns the number of TF_Function* successfully set in
// `funcs` and sets status to OK. The caller takes ownership of
// all the returned TF_Functions. They must be deleted with TF_DeleteFunction.

our=!0}),Le("hmm",function(e,a,t){var s=e.length-2;a[De]=G(e.substr(0,s)),a[Te]=G(e.substr(s)),L(t).bigHour=!0}),Le("hmmss",function(e,a,t){var s=e.length-4,n=e.length-2;a[De]=G(e.substr(0,s)),a[Te]=G(e.substr(s,2)),a[ge]=G(e.substr(n)),L(t).bigHour=!0}),Le("Hmm",function(e,a,t){var s=e.length-2;a[De]=G(e.substr(0,s)),a[Te]=G(e.substr(s))}),Le("Hmmss",function(e,a,t){var s=e.length-4,n=e.length-2;a[De]=G(e.substr(0,s)),a[Te]=G(e.substr(s,2)),a[ge]=G(e.substr(n))});var aa=V("Hours",!0);var ta,sa=...

- This PR will leverage subtests on the existing table tests for the scheduler units. ([#63665](https://github.com/kubernetes/kubernetes/pull/63665), [@xchapter7x](https://github.com/xchapter7x))

func (sys *NotificationSys) SignalConfigReload(subSys string) []NotificationPeerErr {
	ng := WithNPeers(len(sys.peerClients))
	for idx, client := range sys.peerClients {
		if client == nil {
			continue
		}
		client := client
		ng.Go(GlobalContext, func() error {
			return client.SignalService(serviceReloadDynamic, subSys, false, nil)
		}, idx, *client.host)
	}
	return ng.Wait()
}