* to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without

  }

  private void memoizeExceptionThrownTest(ThrowingSupplier throwingSupplier) {
    Supplier<Integer> memoizedSupplier = Suppliers.memoize(throwingSupplier);
    // call get() twice to make sure that memoization doesn't interfere
    // with throwing the exception
    for (int i = 0; i < 2; i++) {
      try {
        memoizedSupplier.get();
        fail("failed to throw NullPointerException");
      } catch (NullPointerException e) {

        // snapshot timestamp, or some other timestamp later encoded into the metadata.
        // TODO this needs to be repeated here so the merging doesn't interfere with the written metadata
        //  - we'd be much better having a pristine input, and an ongoing metadata for merging instead

        Map<ArtifactRepository, Metadata> previousMetadata = new HashMap<>();

        assertEquals(1, negotiationDifferentSizes.getRequestRaw().length);
        assertEquals(5, negotiationDifferentSizes.getResponseRaw().length);
    }

    @Test
    @DisplayName("Test multiple instances do not interfere")
    void testMultipleInstances() {
        // Create another instance with different data
        SmbNegotiationRequest anotherRequest = mock(SmbNegotiationRequest.class);

   * non-static, and is initialized/removed frequently - this causes churn in the Thread specific
   * hashmaps. Using a static ThreadLocal to avoid that overhead would mean that different
   * ExecutionSequencer objects interfere with each other, which would be undesirable, in addition
   * to increasing the memory footprint of every thread that interacted with it. In order to release

func (o *ObjectOptions) SetEvalRetentionBypassFn(f EvalRetentionBypassFn) {
	o.EvalRetentionBypassFn = f
}

// ObjectLayer implements primitives for object API layer.
type ObjectLayer interface {
	// Locking operations on object.
	NewNSLock(bucket string, objects ...string) RWLocker

	// Storage operations.
	Shutdown(context.Context) error

    WeakInternerImpl {
      @Override
      public <E> Interner<E> create(Collection<E> contents) {
        Interner<E> interner = Interners.newWeakInterner();
        for (E e : contents) {
          E unused = interner.intern(e);
        }
        return interner;
      }
    },
    StrongInternerImpl {
      @Override
      public <E> Interner<E> create(Collection<E> contents) {

	Rows(ctx context.Context) (*sql.Rows, error)
}

type JoinBuilder interface {
	Select(...string) JoinBuilder
	Omit(...string) JoinBuilder
	Where(query interface{}, args ...interface{}) JoinBuilder
	Not(query interface{}, args ...interface{}) JoinBuilder
	Or(query interface{}, args ...interface{}) JoinBuilder
}

type PreloadBuilder interface {
	Select(...string) PreloadBuilder
	Omit(...string) PreloadBuilder

 *
 * <p>The returned map is implemented as a hash table with similar performance characteristics to
 * {@link ConcurrentHashMap}. It supports all optional operations of the {@code ConcurrentMap}
 * interface. It does not permit null keys or values.
 *
 * <p><b>Note:</b> by default, the returned map uses equality comparisons (the {@link Object#equals

Por exemplo, se você declarar um parâmetro do tipo `Hero`, ele será lido do **corpo JSON**.

Da mesma forma, você pode declará-lo como o **tipo de retorno** da função, e então o formato dos dados aparecerá na interface de documentação automática da API.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[40:45] hl[40:45] *}

</details>