* The results are ordered by creation time in descending order and the pager is updated with
     * pagination metadata including total count and page number list.
     *
     * @param crawlingInfoPager the pager object containing search criteria and pagination settings
     * @return a list of CrawlingInfo entities matching the criteria
     */

            assertEquals(free * sectPerAlloc * bytesPerSect, fileFsSizeInfo.getFree());
        }

        @Test
        @DisplayName("Should return correct number of bytes consumed from buffer")
        void shouldReturnCorrectBytesConsumed() throws SMBProtocolDecodingException {
            // Given - larger buffer than needed
            byte[] buffer = new byte[100];

			if pctUsed := int(disk.Used * 100 / disk.Total); pctUsed > maxUsedPct {
				maxUsedPct = pctUsed
			}
		}

		// Since we are comparing pools that may have a different number of sets
		// we multiply by the number of sets in the pool.
		// This will compensate for differences in set sizes
		// when choosing destination pool.
		// Different set sizes are already compensated by less disks.

import org.lastaflute.di.exception.IORuntimeException;

public class PluginHelperTest extends UnitFessTestCase {
    private PluginHelper pluginHelper;

    @Override
    public void setUp() throws Exception {
        super.setUp();
        pluginHelper = new PluginHelper() {
            @Override
            protected String[] getRepositories() {
                return new String[] { "plugin/repo1/", "plugin/repo2/" };
            }

     * This algorithm is due to the paper "Everything we know about CRC but [are] afraid to forget"
     * by Kadatch and Jenkins, 2010.
     */

    Crc32cHasher() {
      super(16);
    }

    private boolean finished = false;

    /*
     * This trick allows us to avoid having separate states for "first four ints" and "all other

public class CrawlingConfigHelperTest extends UnitFessTestCase {
    private CrawlingConfigHelper crawlingConfigHelper;

    @Override
    public void setUp() throws Exception {
        super.setUp();
        final File propFile = File.createTempFile("system", ".properties");
        propFile.deleteOnExit();
        FileUtil.writeBytes(propFile.getAbsolutePath(), "".getBytes());

           */
          toJoin = Arrays.copyOf(toJoin, expandedCapacity(toJoin.length, toJoin.length + 1));
        }
        toJoin[i++] = toString(part);
      }
      // We might not have seen the expected number of elements, as discussed above.
      if (i != toJoin.length) {
        toJoin = Arrays.copyOf(toJoin, i);
      }
      return String.join(separator, toJoin);
    }
    return join(parts.iterator());
  }

pkg go/doc/comment, type List struct, Items []*ListItem #51082
pkg go/doc/comment, type ListItem struct #51082
pkg go/doc/comment, type ListItem struct, Content []Block #51082
pkg go/doc/comment, type ListItem struct, Number string #51082
pkg go/doc/comment, type Paragraph struct #51082
pkg go/doc/comment, type Paragraph struct, Text []Text #51082
pkg go/doc/comment, type Parser struct #51082

     *
     * @param index The index to delete from.
     * @param type The document type (deprecated).
     * @param queryBuilder The query to match documents for deletion.
     * @return The number of deleted documents.
     * @throws OpenSearchAccessException if the deletion fails.
     */
    public int deleteByQuery(final String index, final String type, final QueryBuilder queryBuilder) {

* Add apiserver metric for number of requests dropped because of inflight limit. ([#58340](https://github.com/kubernetes/kubernetes/pull/58340), [@gmarek](https://github.com/gmarek))