verify(handle, times(1)).ensureDFSResolved();
        verifyNoMoreInteractions(handle);
    }

    @Test
    @DisplayName("ensureDFSResolved(): throws CIFSException when underlying call fails")
    void ensureDFSResolved_throws() throws Exception {
        // Arrange: configure the mock to throw
        doThrow(new CIFSException("DFS resolution failed")).when(handle).ensureDFSResolved();

public boolean canCacheRead() {
    if (leaseKey != null) {
        LeaseEntry entry = leaseManager.getLease(leaseKey);
        return entry != null && entry.hasReadCache();
    }
    return false;  // Fall back to oplock logic
}

public boolean canCacheWrite() {
    if (leaseKey != null) {
        LeaseEntry entry = leaseManager.getLease(leaseKey);
        return entry != null && entry.hasWriteCache();
    }

labels.user_given_name=Prénom
labels.givenName=Prénom (nom donné)
labels.user_surname=Nom de famille
labels.surame=Nom de famille
labels.user_mail=E-mail
labels.mail=E-mail
labels.user_employeeNumber=Numéro d'employé
labels.employeeNumber=Numéro d'employé
labels.user_telephoneNumber=Numéro de téléphone
labels.telephoneNumber=Numéro de téléphone

 * @author Kyle Maddison
 * @author Geoff Pike
 */
@NullUnmarked
public class FarmHashFingerprint64Test extends TestCase {

  private static final HashFunction HASH_FN = farmHashFingerprint64();

  // If this test fails, all bets are off
  @SuppressWarnings("InlineMeInliner") // String.repeat unavailable under Java 8
  public void testReallySimpleFingerprints() {
    assertEquals(8581389452482819506L, fingerprint("test".getBytes(UTF_8)));

# Séparer les schémas OpenAPI pour l'entrée et la sortie ou non { #separate-openapi-schemas-for-input-and-output-or-not }

Depuis la sortie de **Pydantic v2**, l'OpenAPI généré est un peu plus précis et **correct** qu'avant. 😎

En fait, dans certains cas, il y aura même **deux schémas JSON** dans OpenAPI pour le même modèle Pydantic, pour l'entrée et pour la sortie, selon s'ils ont des **valeurs par défaut**.

			"A",
			"B",
		),
		"THIS.\n",
	},
	{
		"nested #define with args",
		lines(
			"#define A #define B(x) x",
			"A",
			"B(THIS)",
		),
		"THIS.\n",
	},
	/* This one fails. See comment in Slice.Col.
	{
		"nested #define with args",
		lines(
			"#define A #define B (x) x",
			"A",
			"B(THIS)",
		),
		"x.\n",
	},
	*/
}

func TestLex(t *testing.T) {

     *
     * @param map the document data as a map of field names to values
     * @return the calculated boost value as a float, or 0.0f if evaluation fails
     */
    public float getValue(final Map<String, Object> map) {
        if (map == null || map.isEmpty()) {
            return 0.0f;
        }

      assertThat(cache.asMap().values()).contains(value2);
      assertThat(cache.asMap().entrySet()).containsExactly(immutableEntry(key2, value2));
    }
  }

  // fails in Maven with 64-bit JDK: https://github.com/google/guava/issues/1568

  // A simple type whose .toString() will return the same value each time, but without maintaining
  // a strong reference to that value.

///

## Atualizando as versões do FastAPI { #upgrading-the-fastapi-versions }

Você deveria adicionar testes para a sua aplicação.

Com **FastAPI** isso é muito fácil (graças ao Starlette), veja a documentação: [Testes](../tutorial/testing.md)

errors.cannot_delete_doc_because_of_running = A crawler is running. You cannot delete documents.
errors.failed_to_delete_doc_in_admin = Failed to delete a document.
errors.failed_to_send_testmail=Failed to send a test mail.
errors.invalid_query_unknown = The specified query has an unknown condition.
errors.invalid_query_parse_error = The given query is invalid.
errors.invalid_query_sort_value = The specified sort {0} is invalid.