// Assert: verify interaction and returned value
        verify(renewable, times(1)).renew();
        assertSame(returned, result, "renew() should return the stubbed value");

        // Negative interaction check: no further interactions with the mock
        verifyNoMoreInteractions(renewable);
    }

    @Test
    @DisplayName("Edge: calling renew() on a null reference throws NPE")

4. A dataclass `Author` é usada como o parâmetro `response_model`.

5. Você pode usar outras anotações de tipo padrão com dataclasses como o corpo da requisição.

    Neste caso, é uma lista de dataclasses `Item`.

6. Aqui estamos retornando um dicionário que contém `items`, que é uma lista de dataclasses.

   * @throws IllegalArgumentException if {@code limitSize} is negative
   * @since 3.0
   */
  public static <T extends @Nullable Object> Iterator<T> limit(
      Iterator<T> iterator, int limitSize) {
    checkNotNull(iterator);
    checkArgument(limitSize >= 0, "limit is negative");
    return new Iterator<T>() {
      private int count;

      @Override

   * @throws IllegalArgumentException if {@code limitSize} is negative
   * @since 3.0
   */
  public static <T extends @Nullable Object> Iterable<T> limit(
      Iterable<T> iterable, int limitSize) {
    checkNotNull(iterable);
    checkArgument(limitSize >= 0, "limit is negative");
    return new FluentIterable<T>() {
      @Override
      public Iterator<T> iterator() {

configuration using e.g. the `mc admin config` commands you will need to adjust
your deployment.

Even though this change is backward compatible we do not expect that it affects
the vast majority of deployments in any negative way.

> Will an upgrade of an existing MinIO cluster impact the SLA of the cluster or will it even cause downtime?

No, an upgrade should not cause any downtime. However, on the first startup -

      // Since index and (dataset.length - 1) are non-negative ints, their product can be expressed
      // as a long, without risk of overflow:
      long numerator = (long) index * (dataset.length - 1);
      // Since scale is a positive int, index is in [0, scale], and (dataset.length - 1) is a
      // non-negative int, we can do long-arithmetic on index * (dataset.length - 1) / scale to get

        // When assigned to a long field, it gets sign-extended
        int readLen = response.readParameterWordsWireFormat(bytes, 0);
        long expectedOffset = expectedInt; // Sign extension happens here for negative values
        assertEquals(expectedOffset, response.getOffset(), "Offset should match decoded value");
        assertEquals(4, readLen, "Byte count returned should be 4");
    }

    @Test

        // Service accessors
        assertEquals("cifs", auth.getService());
        auth.setService("");
        assertEquals("", auth.getService());

        // Lifetime accessors (edge: zero/negative)
        auth.setUserLifeTime(0);
        assertEquals(0, auth.getUserLifeTime());
        auth.setUserLifeTime(-1);
        assertEquals(-1, auth.getUserLifeTime());

        auth.setLifeTime(0);

 * This is either a mapping decision or the length of the mapped output, according to this table:
 *
 * ```
 *  0..63 : Length of the UTF-16 sequence that this range maps to. The offset is b2b3.
 * 64..79 : Offset by a fixed negative offset. The bottom 4 bits of b1 are the top 4 bits of the offset.
 * 80..95 : Offset by a fixed positive offset. The bottom 4 bits of b1 are the top 4 bits of the offset.
 *    119 : Ignored.
 *    120 : Valid.

        Before new features get added to Guava, we really want to be sure that it's for a use case
        that actually comes up in the real world. We want to hear the real-world use case so the
        community can discuss and debate whether this feature is actually the *best* way to address
        the real use case, or whether or not a different abstraction might be more appropriate.