assertTrue(result > 0);
        assertNotNull(response.getSecurityDescriptor());
    }

    @Test
    @DisplayName("Test toString returns expected format")
    void testToString() {
        String result = response.toString();

        assertNotNull(result);
        assertTrue(result.startsWith("NtTransQuerySecurityResponse["));
        assertTrue(result.endsWith("]"));
    }

    @Test

Por exemplo, no modelo `Image` nós temos um campo `url`, nós podemos declara-lo como um `HttpUrl` do Pydantic invés de como uma `str`:

{* ../../docs_src/body_nested_models/tutorial005.py hl[4,10] *}

A string será verificada para se tornar uma URL válida e documentada no esquema JSON/1OpenAPI como tal.

## Atributos como listas de submodelos

Você também pode usar modelos Pydantic como subtipos de `list`, `set`, etc:

    private static final int SIGNATURE_LENGTH = 16;
    private final Mac digest;
    private final ReentrantLock signingLock = new ReentrantLock();
    private byte[] signingKey;
    private final String algorithmName;
    private final java.security.Provider provider;
    private volatile boolean closed = false;

    /**
     * Constructs a SMB2 signing digest with the specified session key and dialect
     *

			staleDisks[j] = badDisk{nil}
		}

		staleWriters := make([]io.Writer, len(staleDisks))
		for i, disk := range staleDisks {
			if disk == nil {
				continue
			}
			os.Remove(pathJoin(disk.String(), "testbucket", "testobject"))
			staleWriters[i] = newBitrotWriter(disk, "", "testbucket", "testobject", erasure.ShardFileSize(test.size), test.algorithm, erasure.ShardSize())
		}

#       by Bash, Ksh, etc; in particular arrays are avoided.
#
#       The "traditional" practice of packing multiple parameters into a
#       space-separated string is a well documented source of bugs and security
#       problems, so this is (mostly) avoided, by progressively accumulating
#       options in "$@", and eventually passing that to Java.
#

        getMethod("testSetCount_threeToZero_supported"),
        getMethod("testSetCount_threeToOne_supported"));
  }

  @J2ktIncompatible
  @GwtIncompatible // reflection
  private static Method getMethod(String methodName) {
    return Helpers.getMethod(AbstractMultisetSetCountTester.class, methodName);
  }

      }
      return false;
    }

    @Override
    public int hashCode() {
      return Objects.hash(closeable, thrown, suppressed);
    }

    @Override
    public String toString() {
      return MoreObjects.toStringHelper(this)
          .add("closeable", closeable)
          .add("thrown", thrown)
          .add("suppressed", suppressed)
          .toString();
    }
  }

        return MIN_COMPRESSION_SIZE;
    }

    @Override
    public int getMaxCompressionSize() {
        return MAX_COMPRESSION_SIZE;
    }

    @Override
    public String getAlgorithmName(int algorithm) {
        switch (algorithm) {
        case COMPRESSION_NONE:
            return "None";
        case COMPRESSION_LZ77:
            return "LZ77";

Por ejemplo, como en el modelo `Image` tenemos un campo `url`, podemos declararlo como una instance de `HttpUrl` de Pydantic en lugar de un `str`:

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

El string será verificado para ser una URL válida, y documentado en JSON Schema / OpenAPI como tal.

## Atributos con listas de submodelos

También puedes usar modelos Pydantic como subtipos de `list`, `set`, etc.:

        when(pipe.ensureTreeConnected()).thenReturn(tree);
        when(tree.acquire()).thenReturn(tree);
        when(tree.isSMB2()).thenReturn(true);

        // SMB2 branch in ensureOpen uses openUnshared(String, ...)
        when(pipe.openUnshared(anyString(), anyInt(), anyInt(), anyInt(), anyInt(), anyInt())).thenReturn(fileHandle);
        when(fileHandle.acquire()).thenReturn(fileHandle);