s.parentNode.insertBefore(fess, s);
  })();
</script>
<fess:search></fess:search>
```

**Step 3: Customize Search UI**

Fess Site Search provides extensive customization options via the [FSS Generator](https://fss-generator.codelibs.org/docs/manual):
- Result layout and styling
- Facet configuration
- Search box placement
- Suggestion behavior

**Example Result**:

  public static @Nullable Float tryParse(String string) {
    if (Doubles.FLOATING_POINT_PATTERN.matcher(string).matches()) {
      // TODO(lowasser): could be potentially optimized, but only with
      // extensive testing
      try {
        return parseFloat(string);
      } catch (NumberFormatException e) {
        // Float.parseFloat has changed specs several times, so fall through
        // gracefully
      }
    }

  public static @Nullable Double tryParse(String string) {
    if (FLOATING_POINT_PATTERN.matcher(string).matches()) {
      // TODO(lowasser): could be potentially optimized, but only with
      // extensive testing
      try {
        return parseDouble(string);
      } catch (NumberFormatException e) {
        // Double.parseDouble has changed specs several times, so fall through
        // gracefully
      }

       then it should go in the Javadoc, otherwise you might consider using
       regular comments in the code. Remember as well that Elasticsearch
       has extensive [user documentation](./docs), and it is not the role
       of Javadoc to replace that.
        * If a method's performance is "unexpected" then it's good to call that

        assertEquals(threadCount * operationsPerThread, encrypted.size(), "Should have encrypted results for each message");

        // Verify a sample of encrypted messages can be decrypted (to avoid extensive decryption that might fail)
        int sampleSize = Math.min(5, encrypted.size());
        for (int i = 0; i < sampleSize; i++) {
            try {

    int pos = indexIn(string);
    if (pos == -1) {
      return string;
    }

    char[] chars = string.toCharArray();
    int spread = 1;

    // This unusual loop comes from extensive benchmarking
    OUT:
    while (true) {
      pos++;
      while (true) {
        if (pos == chars.length) {
          break OUT;
        }
        if (matches(chars[pos])) {
          break;

    int pos = indexIn(string);
    if (pos == -1) {
      return string;
    }

    char[] chars = string.toCharArray();
    int spread = 1;

    // This unusual loop comes from extensive benchmarking
    OUT:
    while (true) {
      pos++;
      while (true) {
        if (pos == chars.length) {
          break OUT;
        }
        if (matches(chars[pos])) {
          break;

- Implement `post-filter` extension point for scheduling framework ([#78097](https://github.com/kubernetes/kubernetes/pull/78097), [@draveness](https://github.com/draveness))
- Add Bind extension point of the scheduling framework ([#78513](https://github.com/kubernetes/kubernetes/pull/78513), [@chenchun](https://github.com/chenchun))

 */
@NullUnmarked
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  @BeforeExperiment

 */
@NullUnmarked
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  @BeforeExperiment