* in a large index without loading all of them into memory at once.
 * </p>
 *
 * <p>
 * The reader supports limiting the number of documents read based on a percentage of the total documents
 * or a fixed number. It also allows filtering documents based on their size, using the {@code limitOfDocumentSize}
 * parameter.
 * </p>
 *
 * <p>

import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.DocumentUtil;

/**
 * HTML tag-based thumbnail generator that creates thumbnails from image content
 * referenced in HTML documents. This generator extracts images from HTML content
 * and processes them to create thumbnail images based on configured dimensions
 * and format settings.
 *
 * <p>The generator validates image MIME types, processes image data through

      <codeSegments>
        <codeSegment>
          <version>1.2.0+</version>
          <comment>Generated hashCode() and equals() based on identifier also calls its super, which breaks comparison
          </comment>
          <code>
            <![CDATA[
    /**
     * Computes a hash value based on {@link #getType()} and {@link #getProvides()} values.
     */
    public int hashCode() {

        SmbRenewableCredentials impl = supplier.get();

        // Act: call renew
        CredentialsInternal renewed = impl.renew();

        // Assert: verify behavior based on scenario
        if (expectSame) {
            assertSame(impl, renewed, "renew() should return the same instance");
        } else if (expectNew) {

### Base Docker Image { #base-docker-image }

There used to be an official FastAPI Docker image: <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. But it is now deprecated. ⛔️

You should probably **not** use this base Docker image (or any other similar one).

 */
public abstract class FessSearchAction extends FessBaseAction {

    /**
     * Default constructor.
     */
    public FessSearchAction() {
        super();
    }

    /** The field name used for label-based search filtering. */
    protected static final String LABEL_FIELD = "label";

    /** Helper for performing search operations and managing search requests. */
    @Resource
    protected SearchHelper searchHelper;

        assertFalse(result, "Filter should reject any provided name");
        verifyNoInteractions(mockDir);
    }

    /**
     * Edge: name-based filter behavior for diverse inputs.
     */
    @ParameterizedTest
    @DisplayName("name-based filter matches .txt case-insensitively")
    @CsvSource({ "notes.txt,true", "REPORT.TXT,true", "image.png,false", "archive.tar.gz,false", "txt,false" })

     * Default is 2 hours (2 * 60 * 60 * 1000L).
     */
    protected long expiredJobInterval = 2 * 60 * 60 * 1000L; // 2hours

    /**
     * Retrieves a paginated list of job logs based on the provided pager configuration.
     *
     * @param jobLogPager the pager configuration for pagination and filtering
     * @return a list of job logs matching the criteria
     */

For example, it was clear that ideally it should be based on standard Python type hints.

Also, the best approach was to use already existing standards.

            return 1.0;
        }

        // Simple heuristic based on data entropy
        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression