* Represents an API response containing a list of backup files.
     */
    public static class ApiBackupFilesResponse extends ApiResponse {
        /**
         * The list of backup files, where each file is represented by a map of strings.
         */
        protected List<Map<String, String>> files;
        /**
         * The total number of backup files.
         */
        protected long total = 0;

        /**

        assertTrue(s.contains("000AFF"), "toString should include MIC hex");
    }

    @Test
    @DisplayName("Mechanism ordering is preserved after parse")
    void testMechanismOrderPreserved() throws Exception {
        ASN1ObjectIdentifier[] mechs = new ASN1ObjectIdentifier[] { OID_NTLM, OID_KRB, OID_KRB_LEGACY };

        assertTrue(exception instanceof Exception);
        assertTrue(exception instanceof Throwable);
    }

    public void test_stackTraceWithCause() {
        // Test that stack trace is properly preserved with cause
        String innerMessage = "Inner exception";
        String outerMessage = "Outer exception";
        RuntimeException innerException = new RuntimeException(innerMessage);

            // Assert
            assertNotNull(unwrapped);
            assertTrue(unwrapped instanceof DosFileFilter);

            // Verify fields preserved (via reflection since they are protected)
            var wildcardField = DosFileFilter.class.getDeclaredField("wildcard");
            wildcardField.setAccessible(true);

Vous pouvez utiliser <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a> pour le déploiement. Il présente plusieurs avantages comme la sécurité, la réplicabilité, la simplicité de développement, etc.

Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :

on the same machine by simply switching the value of `HERMETIC_PYTHON_VERSION`
between the runs. All the python-agnostic parts of the build cache from the
previous build will be preserved and reused for the subsequent builds.

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their

   * if the returned {@link Iterable} contains duplicate elements. Implementations of such
   * algorithms should document their behavior in the presence of duplicates.
   *
   * <p>The elements of the returned {@code Iterable} must each be:
   *
   * <ul>
   *   <li>Non-null
   *   <li>Usable as {@code Map} keys (see the Guava User Guide's section on <a

    } catch (UnsupportedOperationException expected) {
    }
    assertMultimapRemainsUnmodified(multimap, originalEntries);

    if (!multimap.isEmpty()) {
      K presentKey = multimap.keySet().iterator().next();
      try {
        multimap.asMap().get(presentKey).remove(sampleValue);
        fail("asMap().get().remove() succeeded on unmodifiable multimap");
      } catch (UnsupportedOperationException expected) {
      }

        };

        SmbException ex = assertThrows(SmbException.class, () -> filter.accept(mockDir, "x"));
        assertEquals("boom", ex.getMessage(), "Exception message should be preserved");
        verifyNoInteractions(mockDir);
    }

    /**
     * Interaction with dependency: implementation can use directory's methods to make decisions.
     * Tests a filter that uses directory path information.

        // Act
        SMBSignatureValidationException ex = new SMBSignatureValidationException("msg", mocked);

        // Assert
        assertSame(mocked, ex.getCause(), "Mocked cause should be preserved");
        verifyNoInteractions(mocked);
    }

    // Reflection-based check: ensure serialVersionUID remains the declared constant
    @Test
    @DisplayName("serialVersionUID matches declared constant")