- Fixed a regression since 1.27.0 in scheduler framework when running score plugins. 
  The `skippedScorePlugins` number might be greater than `enabledScorePlugins`, 
  so when initializing a slice the cap(len(skippedScorePlugins) - len(enabledScorePlugins)) is negative, 

    int len = sequence.length();
    for (int i = 0; i < len; i++) {
      char c = sequence.charAt(i);
      if (matches(c)) {
        if (c == replacement && (i == len - 1 || !matches(sequence.charAt(i + 1)))) {
          // a no-op replacement
          i++;
        } else {
          StringBuilder builder = new StringBuilder(len).append(sequence, 0, i).append(replacement);

        makeMap(createMapMaker().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);
    checkInitialCapacity(1, 4, 4);

 * with one-sided error: if it claims that an element is contained in it, this might be in error,
 * but if it claims that an element is <i>not</i> contained in it, then this is definitely true.
 *
 * <p>If you are unfamiliar with Bloom filters, this nice <a
 * href="http://llimllib.github.io/bloomfilter-tutorial/">tutorial</a> may help you understand how
 * they work.
 *

        makeMap(createMapMaker().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);
    checkInitialCapacity(1, 4, 4);

   * {@link #copyOfSorted} instead. This method iterates over {@code elements} at most once.
   *
   * <p>Note that if {@code s} is a {@code Multiset<String>}, then {@code
   * ImmutableSortedMultiset.copyOf(s)} returns an {@code ImmutableSortedMultiset<String>}
   * containing each of the strings in {@code s}, while {@code ImmutableSortedMultiset.of(s)}

        ESSourceReader reader = new ESSourceReader(client, suggester.settings(), indexName);
        reader.setScrollSize(1000);

        suggester.indexer().indexFromDocument(() -> reader, 1000, () -> ThreadUtil.sleep(100)).then(response -> {
            numObInputDoc.set(response.getNumberOfInputDocs());
            latch.countDown();
        }).error(t -> {
            t.printStackTrace();
            latch.countDown();
            fail();

    return (valueComparator == null)
        ? new ImmutableSet.Builder<V>()
        : new ImmutableSortedSet.Builder<V>(valueComparator);
  }

  /**
   * @serialData number of distinct keys, and then for each distinct key: the key, the number of
   *     values for that key, and the key's values
   */
  @GwtIncompatible
  @J2ktIncompatible
    private void writeObject(ObjectOutputStream stream) throws IOException {

        .that(Longs.tryParse(BigInteger.valueOf(MAX_VALUE).multiply(BigInteger.TEN).toString()))
        .isNull();
    assertWithMessage("Min long - 1")
        .that(Longs.tryParse(BigInteger.valueOf(MIN_VALUE).subtract(BigInteger.ONE).toString()))
        .isNull();
    assertWithMessage("Min long * 10")
        .that(Longs.tryParse(BigInteger.valueOf(MIN_VALUE).multiply(BigInteger.TEN).toString()))
        .isNull();

// value includes a deleted_at field, then Delete performs a soft delete instead by setting deleted_at with the current
// time if null.
func (db *DB) Delete(value interface{}, conds ...interface{}) (tx *DB) {
	tx = db.getInstance()
	if len(conds) > 0 {
		if exprs := tx.Statement.BuildCondition(conds[0], conds[1:]...); len(exprs) > 0 {
			tx.Statement.AddClause(clause.Where{Exprs: exprs})
		}
	}