*
 * <pre>{@code
 * public static double sqrt(double value) {
 *   if (value < 0) {
 *     throw new IllegalArgumentException("input is negative: " + value);
 *   }
 *   // calculate square root
 * }
 * }</pre>
 *
 * <p>to be replaced with the more compact
 *
 * <pre>{@code
 * public static double sqrt(double value) {
 *   checkArgument(value >= 0, "input is negative: %s", value);

   * Map<String, Integer> map = ImmutableMap.of("a", 4, "b", 9);
   * Function<Integer, Double> sqrt =
   *     new Function<Integer, Double>() {
   *       public Double apply(Integer in) {
   *         return Math.sqrt((int) in);
   *       }
   *     };
   * Map<String, Double> transformed = Maps.transformValues(map, sqrt);
   * System.out.println(transformed);
   * }</pre>
   *

   *      = ImmutableListMultimap.of("a", 4, "a", 16, "b", 9);
   * Function<Integer, Double> sqrt =
   *     new Function<Integer, Double>() {
   *       public Double apply(Integer in) {
   *         return Math.sqrt((int) in);
   *       }
   *     };
   * ListMultimap<String, Double> transformed = Multimaps.transformValues(map,
   *     sqrt);
   * System.out.println(transformed);
   * }</pre>
   *

    * Add int8 and int16x8 support for RSQRT operator

* Android NDK r25 is supported.

### Bug Fixes and Other Changes

*   Add TensorFlow Quantizer to TensorFlow pip package.

*   `tf.sparse.segment_sum` `tf.sparse.segment_mean` `tf.sparse.segment_sqrt_n` `SparseSegmentSum/Mean/SqrtN[WithNumSegments]`

expression:
</p>

<pre>
var a, b, c = f() + v(), g(), sqr(u()) + v()

func f() int        { return c }
func g() int        { return a }
func sqr(x int) int { return x*x }

// functions u and v are independent of all other variables and functions
</pre>

<p>
The function calls happen in the order
<code>u()</code>, <code>sqr()</code>, <code>v()</code>,

		for id, cache := range caches {
			if _, ok := remove[id]; ok {
				continue
			}
			remainCaches = append(remainCaches, cache)
		}
		if len(remainCaches) > metacacheMaxEntries {
			// Sort oldest last...
			sort.Slice(remainCaches, func(i, j int) bool {
				return remainCaches[i].lastHandout.Before(remainCaches[j].lastHandout)
			})
			// Keep first metacacheMaxEntries...

      // Deserialize HTTP response to concrete type.
      ResponseBody body = response.body();
      List<Contributor> contributors = CONTRIBUTORS_JSON_ADAPTER.fromJson(body.source());

      // Sort list by the most contributions.
      Collections.sort(contributors, (c1, c2) -> c2.contributions - c1.contributions);

      // Output list of contributors.
      for (Contributor contributor : contributors) {

	verifiedWorkloads := make([]*ZtunnelWorkload, 0, len(zDump.Workloads))
	for _, wl := range zDump.Workloads {
		if filter.Verify(wl) {
			verifiedWorkloads = append(verifiedWorkloads, wl)
		}
	}

	// Sort by name, node
	sort.Slice(verifiedWorkloads, func(i, j int) bool {
		in := verifiedWorkloads[i].Namespace + "." + verifiedWorkloads[i].Name
		jn := verifiedWorkloads[j].Namespace + "." + verifiedWorkloads[j].Name
		if in != jn {

        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "desc"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },

// unique set. data is expected to be pre-sorted, and the resulting set in
// the range [0:size] will remain in sorted order. Uniq, following a
// sort.Sort call, can be used to prepare arbitrary inputs for use as sets.
func uniq(data sort.Interface) (size int) {
	p, l := 0, data.Len()
	if l <= 1 {
		return l
	}
	for i := 1; i < l; i++ {
		if !data.Less(p, i) {
			continue
		}
		p++