/** List of finished crawler session IDs for cleanup */
    protected List<String> finishedSessionIdList = new ArrayList<>();

    /** List of document boost matchers for scoring enhancement */
    private final List<DocBoostMatcher> docBoostMatcherList = new ArrayList<>();

    /** List of active crawler instances */
    private List<Crawler> crawlerList;

        return listFiles("*", ATTR_DIRECTORY | ATTR_HIDDEN | ATTR_SYSTEM, null, null);
    }

    /**
     * The CIFS protocol provides for DOS "wildcards" to be used as
     * a performance enhancement. The client does not have to filter
     * the names and the server does not have to return all directory
     * entries.
     * <p>
     * The wildcard expression may consist of two special meta

    }

    /**
     * The CIFS protocol provides for DOS "wildcards" to be used as
     * a performance enhancement. The client does not have to filter
     * the names and the server does not have to return all directory
     * entries.
     * <p>
     * The wildcard expression may consist of two special meta

import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;

/**
 * Test class for NtlmPasswordAuthenticator security enhancements
 */
public class NtlmPasswordAuthenticatorSecurityTest {

    private NtlmPasswordAuthenticator authenticator;

    @BeforeEach
    public void setUp() {
        authenticator = null;
    }

### API Change

- #### Additional documentation e.g., KEPs (Kubernetes Enhancement Proposals), usage docs, etc.:
  
  <!--
  This section can be blank if this pull request does not require a release note.
  
  When adding links which point to resources within git repositories, like

### `TensorRT`

*   Issues a warning when the `session_config` parameter for the TF1 converter
    is used or the `rewrite_config_template` field in the TF2 converter
    parameter object is used.

### TPU Enhancements:

*   Adds support for the `beta` parameter of the FTRL optimizer for TPU
    embeddings. Users of other TensorFlow platforms can implement equivalent
    behavior by adjusting the `l2` parameter.