type Client struct {
	connected int32 // ref: https://golang.org/pkg/sync/atomic/#pkg-note-BUG
	_         int32 // For 64 bits alignment
	lastConn  int64

	// HealthCheckFn is the function set to test for health.
	// If not set the client will not keep track of health.
	// Calling this returns true or false if the target
	// is online or offline.
	HealthCheckFn func() bool

				writer.write(endMessage)
			} else {
				for payload.Len() > 0 {
					copiedLen := copy(writer.payloadBuffer[writer.payloadBufferIndex:], payload.Bytes())
					writer.payloadBufferIndex += copiedLen
					payload.Next(copiedLen)

					// If buffer is filled, flush it now!
					freeSpace := bufLength - writer.payloadBufferIndex
					if freeSpace == 0 {
						if !writer.flushRecords() {
							quitFlag = true
							break

  }

  @J2ktIncompatible
  @GwtIncompatible // SerializableTester
  public void testIdentitySerializable() {
    checkCanReserializeSingleton(Functions.identity());
  }

  @SuppressWarnings("nullness") // test of a bogus call
  public void testToStringFunction_apply() {
    assertThat(Functions.toStringFunction().apply(3)).isEqualTo("3");
    assertThat(Functions.toStringFunction().apply("hiya")).isEqualTo("hiya");
    assertThat(

 *       at this goal. Important note: it may be easy to achieve the theoretical minimum collision
 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden
 *       patterns and clumps. The goal of a good hash function is to stamp these patterns out as

Para entender variáveis de ambiente, você pode ler [Variáveis de Ambiente](../environment-variables.md).

///

## Tipagem e validação { #types-and-validation }

Essas variáveis de ambiente só conseguem lidar com strings de texto, pois são externas ao Python e precisam ser compatíveis com outros programas e com o resto do sistema (e até com diferentes sistemas operacionais, como Linux, Windows, macOS).

              checkNotNull(optionals.iterator());

          @Override
          protected @Nullable T computeNext() {
            while (iterator.hasNext()) {
              Optional<? extends T> optional = iterator.next();
              if (optional.isPresent()) {
                return optional.get();
              }
            }
            return endOfData();
          }
        };
  }

		},
		{
			name: "empty case",
			c:    Config{},
			want: "Enabled: false",
		},
	}
	for _, tt := range tests {
		got := tt.c.String()
		if got != tt.want {
			t.Errorf("test: %s, got: '%v', want: '%v'", tt.name, got, tt.want)
		}
	}

              checkNotNull(optionals.iterator());

          @Override
          protected @Nullable T computeNext() {
            while (iterator.hasNext()) {
              Optional<? extends T> optional = iterator.next();
              if (optional.isPresent()) {
                return optional.get();
              }
            }
            return endOfData();
          }
        };
  }

aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,

 *       alternatives.
 *   <li>It imposes requirements on the lifecycle of its subscribers. For example, if an event
 *       occurs between when one subscriber is removed and the next subscriber is added, the event
 *       is dropped.
 *   <li>Its performance is suboptimal, especially under Android.
 *   <li>It <a href="https://github.com/google/guava/issues/1431">doesn't support parameterized