}
	})
	if n > 0 {
		t.Errorf("allocations occurred while appending")
	}
}

func TestRuneIO(t *testing.T) {
	const NRune = 1000
	// Built a test slice while we write the data
	b := make([]byte, utf8.UTFMax*NRune)
	var buf Buffer
	n := 0
	for r := rune(0); r < NRune; r++ {
		size := utf8.EncodeRune(b[n:], r)
		nbytes, err := buf.WriteRune(r)
		if err != nil {
			t.Fatalf("WriteRune(%U) error: %s", r, err)

		// returning nil instead of empty slice if all spaces.
		return nil
	}
	return s[start:stop]
}

// Runes interprets s as a sequence of UTF-8-encoded code points.
// It returns a slice of runes (Unicode code points) equivalent to s.
func Runes(s []byte) []rune {
	t := make([]rune, utf8.RuneCount(s))
	i := 0
	for len(s) > 0 {
		r, l := utf8.DecodeRune(s)
		t[i] = r
		i++
		s = s[l:]
	}

	fmt.Println(bytes.LastIndexFunc([]byte("go gopher!"), unicode.IsNumber))
	// Output:
	// 8
	// 9
	// -1
}

func ExampleMap() {
	rot13 := func(r rune) rune {
		switch {
		case r >= 'A' && r <= 'Z':
			return 'A' + (r-'A'+13)%26
		case r >= 'a' && r <= 'z':
			return 'a' + (r-'a'+13)%26
		}
		return r
	}

            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)

          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository
        uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1

            public static final String JCIFS_PREFIX = "jcifs.";
            public static final String HTML_CANONICAL_XPATH = "html.canonical.xpath";
            public static final String HTML_PRUNED_TAGS = "html.pruned.tags";
            public static final String PIPELINE = "pipeline";
            public static final String IGNORE_ROBOTS_TAGS = "ignore.robots.tags";
            public static final String SCRIPT_TYPE = "script.type";

            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)

                    .map(p -> prune(Profile.newBuilder(p, true), p).build())
                    .collect(Collectors.toList()));

            model = builder.build();
            String modelVersion = new MavenModelVersion().getModelVersion(model);
            model = model.withModelVersion(modelVersion);
        } else {
            Model.Builder builder = prune(
                    Model.newBuilder(model, true)

		Short: "Open Prometheus web UI",
		Long:  `Open Istio's Prometheus dashboard`,
		Example: `  istioctl dashboard prometheus

  # with short syntax
  istioctl dash prometheus
  istioctl d prometheus`,
		RunE: func(cmd *cobra.Command, args []string) error {
			client, err := ctx.CLIClientWithRevision(opts.Revision)
			if err != nil {
				return fmt.Errorf("failed to create k8s client: %v", err)
			}

		ret := csv.NewReader(r)
		ret.Comma = []rune(args.FieldDelimiter)[0]
		ret.Comment = []rune(args.CommentCharacter)[0]
		ret.Quote = []rune{}
		if len([]rune(args.QuoteCharacter)) > 0 {
			// Add the first rune of args.QuoteCharacter
			ret.Quote = append(ret.Quote, []rune(args.QuoteCharacter)[0])
		}
		ret.QuoteEscape = []rune(args.QuoteEscapeCharacter)[0]
		ret.FieldsPerRecord = -1