RelatedContent entity = new RelatedContent();
        entity.setTerm(term);
        entity.setContent(content);
        entity.setVirtualHost(virtualHost);
        return entity;
    }

    // Mock classes

    static class MockRelatedContentBhv extends RelatedContentBhv {
        private List<RelatedContent> testData = new ArrayList<>();

        public void setTestData(List<RelatedContent> testData) {

                testRequest.encode(buffer, 0);
            });

            assertTrue(exception.getMessage().contains("Wrong size calculation"));
        }
    }

    // Test implementation classes
    private static class TestServerMessageBlock2Request extends ServerMessageBlock2Request<TestServerMessageBlock2Response> {
        private TestServerMessageBlock2Response testResponse;
        private int testSize = 64;

        assertNotNull(result);
        assertTrue(result.contains("Subject with"));
        assertTrue(result.contains("Content with"));
        assertTrue(result.contains("backslash"));
    }

    // Mock classes
    private static class MockFessConfig extends FessConfig.SimpleImpl {
        private static final long serialVersionUID = 1L;

        @Override
        public String getSlackWebhookUrls() {

    }

    // Helper methods for creating mock objects
    private SearchRequestParams createMockSearchRequestParams() {
        return new MockSearchRequestParams();
    }

    // Mock classes
    private static class MockFessConfig extends FessConfig.SimpleImpl {
        private static final long serialVersionUID = 1L;

        @Override
        public String getCookieSearchParameterRequiredKeys() {

        uniqueQueries.add("filetype:others");

        for (String query : uniqueQueries) {
            assertTrue(testFacetInfo.getAddedQueries().contains(query));
        }
    }

    // Helper classes for testing
    private static class TestFacetInfo extends FacetInfo {
        private final List<String> addedQueries = new ArrayList<>();

        @Override
        public void addQuery(String s) {

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.

  }

  private static <E> List<E> list(E... elements) {
    return ImmutableList.copyOf(elements);
  }

  /**
   * Utility method to verify that the given LinkedHashSet is equal to and hashes identically to a
   * set constructed with the elements in the given collection. Also verifies that the ordering in
   * the set is the same as the ordering of the given contents.
   */

type ObjectNameInvalid GenericError

// ObjectNameTooLong - object name too long.
type ObjectNameTooLong GenericError

// ObjectNamePrefixAsSlash - object name has a slash as prefix.
type ObjectNamePrefixAsSlash GenericError

// Error returns string an error formatted as the given text.
func (e ObjectNameInvalid) Error() string {
	return "Object name invalid: " + e.Bucket + "/" + e.Object

Sie können jedoch nicht vom Kauderwelsch zurück zum Passwort konvertieren.

##### Warum Passwort-Hashing verwenden?

Wenn Ihre Datenbank gestohlen wird, hat der Dieb nicht die Klartext-Passwörter Ihrer Benutzer, sondern nur die Hashes.

Der Dieb kann also nicht versuchen, die gleichen Passwörter in einem anderen System zu verwenden (da viele Benutzer überall das gleiche Passwort verwenden, wäre dies gefährlich).

Pero no puedes convertir del galimatías al password.

##### Por qué usar hashing de passwords

Si tu base de datos es robada, el ladrón no tendrá los passwords en texto plano de tus usuarios, solo los hashes.

Entonces, el ladrón no podrá intentar usar esos mismos passwords en otro sistema (como muchos usuarios usan el mismo password en todas partes, esto sería peligroso).