}
            }
        } catch (final IOException e) {
            logger.warn("Failed to parse embedded documents.", e);
        }
    }

    /**
     * Processes embedded document names and extracts text from them.
     * @param embeddedFileNames the map of embedded file names to specifications
     * @param writer the writer to append extracted text to
     */

                }
            }
        }
        return queryBuf.toString().trim();
    }

    /**
     * Appends various search conditions to the query buffer.
     * Processes advanced search parameters like occurrence, phrases, OR queries, NOT queries,
     * file types, site searches, and timestamp filters.
     *
     * @param queryBuf the StringBuilder to append conditions to

    @Test
    void testDoFilter_ntlmType1Message() throws Exception {
        // Test NTLM Type 1 message handling
        // This test verifies that when a Type 1 NTLM message is received,
        // the filter processes it correctly through NtlmSsp.authenticate

        // Create a minimal filter config that won't try to connect to a real server
        Map<String, String> initParams = new HashMap<>();

 * This analyzer focuses on identifying duplicate strings and their memory impact across different paths in the POM structure.
 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.
 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>

            // Strategy should handle malformed POMs gracefully
            assertNotNull(result, "Result should not be null");
            assertTrue(result.processedPoms().contains(Paths.get("pom.xml")), "POM should be marked as processed");
        }
    }

    @Nested
    @DisplayName("Strategy Description")
    class StrategyDescriptionTests {

        @Test
        @DisplayName("should provide meaningful description")

import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Command class for handling term query execution and conversion.
 * This class processes Lucene TermQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermQueryCommand extends QueryCommand {
    private static final Logger logger = LogManager.getLogger(TermQueryCommand.class);

   * method returns.
   *
   * <p>This method does not create any memory pressure as would be required to cause soft
   * references to be processed.
   *
   * @throws RuntimeException if timed out or interrupted while waiting
   * @since 12.0
   */
  @SuppressWarnings({"removal", "Finalize"}) // b/260137033
  public static void awaitFullGc() {

errors.app.db.already.deleted = It may have been deleted by another process. Please try again.
errors.app.db.already.updated = It may have been updated by another process. Please try again.
errors.app.db.already.exists = The data already exists. Please try again.
errors.app.double.submit.request = It may have been processed before this request. Please try again.

errors.app.db.already.deleted = It may have been deleted by another process. Please try again.
errors.app.db.already.updated = It may have been updated by another process. Please try again.
errors.app.db.already.exists = The data already exists. Please try again.
errors.app.double.submit.request = It may have been processed before this request. Please try again.

In diesem Szenario wäre jede einzelne Reinigungskraft (einschließlich Ihnen) ein Prozessor, der seinen Teil der Arbeit erledigt.