### 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]`

    *   Added `sparse_gradient` option (default=false) that makes the gradient of these functions/ops sparse (`IndexedSlices`) instead of dense (`Tensor`), using new `SparseSegmentSum/Mean/SqrtNGradV2` ops.

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */

 * iterator remains valid.
 *
 * <p>This class requires less memory than the {@link HashBasedTable} and {@link TreeBasedTable}
 * implementations, except when the table is sparse.
 *
 * <p>Null row keys or column keys are not permitted.
 *
 * <p>This class provides methods involving the underlying array structure, where the array indices

     * @return the parsed Query object
     * @throws QueryParseException if the query cannot be parsed
     */
    public Query parse(final String query) {
        return filterChain.parse(query);
    }

    /**
     * Creates a new Lucene query parser with the current configuration.
     * The parser is configured with the default field, analyzer, wildcard settings,
     * and default operator.
     *

    }

    @Test
    @DisplayName("parse sets mechanismToken and flags parsed")
    void parseSetsMechanismToken() throws IOException {
        TestSpnegoToken t = new TestSpnegoToken();
        byte[] raw = new byte[] { 5, 6 };
        t.parse(raw);
        assertTrue(t.isParsed(), "parse should mark parsed");
        assertArrayEquals(raw, t.getMechanismToken(), "parse should set mechanismToken");
    }

    @Test

     */
    public static void parse(final SAXParser parser, final InputSource inputSource, final DefaultHandler handler) {
        assertArgumentNotNull("parser", parser);
        assertArgumentNotNull("inputSource", inputSource);
        assertArgumentNotNull("handler", handler);

        try {
            parser.parse(inputSource, handler);
        } catch (final SAXException e) {

            final SAXParser parser = factory.newSAXParser();
            parser.setProperty(XMLConstants.ACCESS_EXTERNAL_DTD, StringUtil.EMPTY);
            parser.setProperty(XMLConstants.ACCESS_EXTERNAL_SCHEMA, StringUtil.EMPTY);
            parser.parse(is, this);
        } catch (final Exception e) {
            throw new GsaConfigException("Failed to parse XML file.", e);
        }
    }

    /**

                is.setEncoding(responseData.getCharSet());
            }
            parser.parse(is);
        } catch (final Exception e) {
            throw new CrawlingAccessException("Could not parse " + responseData.getUrl(), e);
        }

        final Document document = parser.getDocument();

        processMetaRobots(responseData, resultData, document);

        return OptionalThing.empty();
    }

    /**
     * Configuration class that holds parsed configuration values for a field.
     * This class parses pipe-separated configuration values and provides methods
     * to check for specific configuration options.
     */
    public static class Config {

        /**
         * Array of parsed configuration values split by pipe character and trimmed.
         */

    private int type;
    private byte[] checksum;

    /**
     * Constructs a PacSignature by parsing the provided data.
     *
     * @param data the raw signature data to parse
     * @throws PACDecodingException if the data is malformed or cannot be parsed
     */
    public PacSignature(final byte[] data) throws PACDecodingException {
        try {