}
}

func bmIndexRuneUnicode(rt *unicode.RangeTable, needle rune) func(b *testing.B, n int) {
	var rs []rune
	for _, r16 := range rt.R16 {
		for r := rune(r16.Lo); r <= rune(r16.Hi); r += rune(r16.Stride) {
			if r != needle {
				rs = append(rs, rune(r))
			}
		}
	}
	for _, r32 := range rt.R32 {
		for r := rune(r32.Lo); r <= rune(r32.Hi); r += rune(r32.Stride) {
			if r != needle {
				rs = append(rs, rune(r))

			if (len(args) == 1) != (configDumpFile == "") {
				cmd.Println(cmd.UsageString())
				return fmt.Errorf("cluster requires pod name or --file parameter")
			}
			return nil
		},
		RunE: func(c *cobra.Command, args []string) error {
			kubeClient, err := ctx.CLIClient()
			if err != nil {
				return err
			}
			var configWriter *configdump.ConfigWriter
			if len(args) == 1 {

	} else if err != io.EOF {
		t.Error("expected EOF; got", err)
	}
}

func TestReadWriteRune(t *testing.T) {
	const NRune = 1000
	byteBuf := new(bytes.Buffer)
	w := NewWriter(byteBuf)
	// Write the runes out using WriteRune
	buf := make([]byte, utf8.UTFMax)
	for r := rune(0); r < NRune; r++ {
		size := utf8.EncodeRune(buf, r)
		nbytes, err := w.WriteRune(r)
		if err != nil {

		Long: `Analyzes pod, its Services, DestinationRules, and VirtualServices and reports
the configuration objects that affect that pod.`,
		Example: `  istioctl experimental describe pod productpage-v1-c7765c886-7zzd4`,
		RunE: func(cmd *cobra.Command, args []string) error {
			describeNamespace = ctx.NamespaceOrDefault(ctx.Namespace())
			if len(args) != 1 {
				return fmt.Errorf("expecting pod name")
			}

	f.NoCallbacks = make(map[string]bool)
	f.NoEscapes = make(map[string]bool)
	for _, line := range linesIn {
		l := strings.TrimSpace(line)
		if len(l) < 5 || l[:4] != "#cgo" || !unicode.IsSpace(rune(l[4])) {
			linesOut = append(linesOut, line)
		} else {
			linesOut = append(linesOut, "")

			// #cgo (nocallback|noescape) <function name>
			if fields := strings.Fields(l); len(fields) == 3 {

    TF_Status*);

// Set up the graph with the intended feeds (inputs) and fetches (outputs) for a
// sequence of partial run calls.
//
// On success, returns a handle that is used for subsequent PRun calls. The
// handle should be deleted with TF_DeletePRunHandle when it is no longer
// needed.
//
// On failure, out_status contains a tensorflow::Status with an error
// message. *handle is set to nullptr.

                this.fileLocator.updateType(response.getFileType());
                info = response;
                fileSize = response.getDataSize();

                // this is so damn unreliable, needs another race-prone query if required
                haveAttributes = false;

                // This seems to be the only way to obtain a reliable (with respect to locking) file size here