*
     * @param context the query context containing search configuration
     * @param query the Lucene query to convert (must be a FuzzyQuery)
     * @param boost the boost factor to apply to the query
     * @return OpenSearch QueryBuilder for fuzzy matching
     * @throws InvalidQueryException if the query is not a FuzzyQuery
     */
    @Override

    }

    /**
     * Converts a prefix query to a query builder.
     *
     * @param context the query context
     * @param prefixQuery the prefix query
     * @param boost the boost factor
     * @return the query builder
     */
    protected QueryBuilder convertPrefixQuery(final QueryContext context, final PrefixQuery prefixQuery, final float boost) {

          command: [
            "/bin/sh",
            "-ce",

   * next entry in the bucket chain). The pointers in [size(), entries.length) are all "null"
   * (UNSET).
   */
  @VisibleForTesting transient long[] entries;

  /** The load factor. */
  private transient float loadFactor;

  /** When we have this many elements, resize the hashtable. */
  private transient int threshold;

  /** Constructs a new empty instance of {@code ObjectCountHashMap}. */

    // Round down to the nearest power of 2.
    expectedEntries = max(expectedEntries, 2);
    int tableSize = Integer.highestOneBit(expectedEntries);
    // Check to make sure that we will not exceed the maximum load factor.
    if (expectedEntries > (int) (loadFactor * tableSize)) {
      tableSize <<= 1;
      return (tableSize > 0) ? tableSize : MAX_TABLE_SIZE;
    }
    return tableSize;
  }

- Already compressed objects are not fit for compression since they do not have compressible patterns.
Such objects do not produce efficient [`LZ compression`](https://en.wikipedia.org/wiki/LZ77_and_LZ78)
which is a fitness factor for a lossless data compression.

Pre-compressed input typically compresses in excess of 2GiB/s per core,
so performance impact should be minimal even if precompressed data is re-compressed.

         * negative so it with NT_STATUS_SUCCESS (0) the binary search will not be
         * performed properly. The effect is that the code at index 1 is never found
         * (NT_STATUS_UNSUCCESSFUL). So here we factor out NT_STATUS_SUCCESS
         * as a special case (which it is).
         */
        if (errcode == 0) {
            return "NT_STATUS_SUCCESS";
        }
        if ((errcode & 0xC0000000) == 0xC0000000) {

  private GraphConstants() {}

  static final int EXPECTED_DEGREE = 2;

  static final int DEFAULT_NODE_COUNT = 10;
  static final int DEFAULT_EDGE_COUNT = DEFAULT_NODE_COUNT * EXPECTED_DEGREE;

  // Load factor and capacity for "inner" (i.e. per node/edge element) hash sets or maps
  static final float INNER_LOAD_FACTOR = 1.0f;
  static final int INNER_CAPACITY = 2; // ceiling(EXPECTED_DEGREE / INNER_LOAD_FACTOR)

  // Error messages

    }

    /**
     * Converts a Lucene BooleanQuery to an OpenSearch BoolQueryBuilder.
     * @param context The query context.
     * @param booleanQuery The boolean query to convert.
     * @param boost The boost factor to apply.
     * @return The converted BoolQueryBuilder.
     */
    protected QueryBuilder convertBooleanQuery(final QueryContext context, final BooleanQuery booleanQuery, final float boost) {

		<pre>content_length:[1000 TO 10000]</pre>
		If you want to exclude the upper and lower bounds, use "{}".
	</dd>
	<dt>Boost</dt>
	<dd>
		To boost a term use the "^" symbol with a boost factor (a number) at
		the end of the term you are searching.
		<pre>Fess^100</pre>
	</dd>
	<dt>Fuzzy</dt>
	<dd>
		To do a fuzzy search use the "~" symbol at the end of a single word