op.setRefreshPolicy(Constants.TRUE);
        });
    }

    /**
     * Sets up the list condition for querying web configurations.
     * Applies search filters based on pager criteria such as name, URLs, and description.
     *
     * @param cb The condition bean for the query
     * @param webConfigPager The pager containing search criteria
     */

		if !r.Flags.Filter.CreatedAfter.IsZero() && r.Flags.Filter.CreatedAfter.Before(info.ModTime) {
			// skip all objects that are created before the specified time.
			return false
		}

		if !r.Flags.Filter.CreatedBefore.IsZero() && r.Flags.Filter.CreatedBefore.After(info.ModTime) {
			// skip all objects that are created after the specified time.
			return false
		}

		if len(r.Flags.Filter.Tags) > 0 {

     * Sets up the database query conditions for listing crawling information records.
     * Applies filters based on the pager criteria such as ID and session ID,
     * and orders results by creation time in descending order.
     *
     * @param cb the condition bean for building the database query
     * @param crawlingInfoPager the pager containing filter criteria
     */

		return false
	}
	for _, rule := range c.Rules {
		if rule.Status == Disabled {
			continue
		}
		if len(prefix) > 0 && len(rule.Filter.Prefix) > 0 {
			// incoming prefix must be in rule prefix
			if !recursive && !strings.HasPrefix(prefix, rule.Filter.Prefix) {
				continue
			}
			// If recursive, we can skip this rule if it doesn't match the tested prefix or level below prefix
			// does not match

// Validate checks if sf is a valid batch-job size filter
func (sf BatchJobSizeFilter) Validate() error {
	if sf.LowerBound > 0 && sf.UpperBound > 0 && sf.LowerBound >= sf.UpperBound {
		return BatchJobYamlErr{
			line: sf.line,
			col:  sf.col,
			msg:  "invalid batch-job size filter",
		}
	}
	return nil
}

// BatchJobSize supports humanized byte values in yaml files type BatchJobSize uint64
type BatchJobSize int64

                }
            });
        }
    }

    /**
     * Adds function score configuration to the query builder.
     * @param functionScoreQuery Consumer that configures the function score filters.
     */
    public void addFunctionScore(final Consumer<List<FilterFunctionBuilder>> functionScoreQuery) {
        final List<FilterFunctionBuilder> list = new ArrayList<>();
        functionScoreQuery.accept(list);

```java
SuggestResponse response = suggester.suggest()
    .setQuery("search term")
    .setSize(10)                           // max results
    .setTags(new String[]{"category"})      // filter by tags
    .setRoles(new String[]{"user"})         // filter by roles  
    .setLanguages(new String[]{"en", "ja"}) // language preference
    .setFields(new String[]{"title"})       // search specific fields
    .execute()
    .getResponse();
```

 */
enum BloomFilterStrategies implements BloomFilter.Strategy {
  /**
   * See "Less Hashing, Same Performance: Building a Better Bloom Filter" by Adam Kirsch and Michael
   * Mitzenmacher. The paper argues that this trick doesn't significantly deteriorate the
   * performance of a Bloom filter (yet only needs two 32bit hash functions).
   */
  MURMUR128_MITZ_32() {
    @Override
    public <T extends @Nullable Object> boolean put(

    }

    /**
     * Retrieves a paginated list of data configurations based on search criteria.
     *
     * <p>This method performs a paginated search through all data configurations,
     * applying any search filters specified in the pager. The results are sorted
     * by sort order and name.</p>
     *
     * @param dataConfigPager the pager containing search criteria and pagination settings

                SortedMultiset<E> multiset =
                    (SortedMultiset<E>) delegate.create(allEntries.toArray());

                // call the smallest subMap overload that filters out the extreme
                // values
                if (from == Bound.INCLUSIVE) {
                  multiset = multiset.tailMultiset(firstInclusive, BoundType.CLOSED);