* RuntimeException}.
 *
 * <p>Here's an example that tests a {@code finalize} method:
 *
 * <pre>{@code
 * final CountDownLatch latch = new CountDownLatch(1);
 * Object x = new MyClass() {
 *   ...
 *   protected void finalize() { latch.countDown(); ... }
 * };
 * x = null;  // Hint to the JIT that x is stack-unreachable
 * GcFinalization.await(latch);
 * }</pre>

 * RuntimeException}.
 *
 * <p>Here's an example that tests a {@code finalize} method:
 *
 * <pre>{@code
 * final CountDownLatch latch = new CountDownLatch(1);
 * Object x = new MyClass() {
 *   ...
 *   protected void finalize() { latch.countDown(); ... }
 * };
 * x = null;  // Hint to the JIT that x is stack-unreachable
 * GcFinalization.await(latch);
 * }</pre>

        System.arraycopy(stackTrace, s, res, 0, e - s);
        return res;
    }


    /**
     * {@inheritDoc}
     *
     * @see java.lang.Object#finalize()
     */
    @Override
    protected void finalize () throws Throwable {
        if ( isConnected() && this.usageCount.get() != 0 ) {
            log.warn("Tree was not properly released");
        }
    }


    /**

            throw new RuntimeCIFSException("Usage count dropped below zero");
        }
    }


    /**
     * {@inheritDoc}
     *
     * @see java.lang.Object#finalize()
     */
    @Override
    protected void finalize () throws Throwable {
        if ( !isDisconnected() && this.usageCount.get() != 0 ) {
            log.warn("Session was not properly released");
        }
    }


    /**

Ao invés disso, sendo um sistema "assíncrono", uma vez finalizada, a tarefa pode esperar um pouco (alguns microssegundos) para que o computador / programa finalize o que quer que esteja fazendo,e então volte para pegar o resultado e continue trabalhando com ele.

    // Extract the resulting tensor.
    add_output2 = TF_OutputListGet(add_outputs, 0);
    TF_DeleteOutputList(add_outputs);
  }

  TF_DeleteAbstractTensor(arg0);
  TF_DeleteAbstractTensor(arg1);

  // Finalize the function by providing the returned values.
  TF_AbstractFunction* func;
  {
    // We want to return the output of both add operations, create a new list
    // and populate it.

          "Unable to cast input to GraphTensor");
    }
    inputs_.push_back(t->output_);
    *output = tensorflow::down_cast<TracingTensorHandle*>(outputs[0]);
    return absl::OkStatus();
  }

  Status Finalize(OutputList* outputs, AbstractFunction** f) override {
    std::vector<TF_Output> graph_outputs;
    graph_outputs.reserve(outputs->outputs.size());
    for (auto* abstract_output : outputs->outputs) {

    <inspection_tool class="FieldMayBeStatic" enabled="true" level="WARNING" enabled_by_default="true" />
    <inspection_tool class="Finalize" enabled="true" level="WARNING" enabled_by_default="true">
      <option name="ignoreTrivialFinalizers" value="true" />
    </inspection_tool>

  private static final String FINALIZER_CLASS_NAME = "com.google.common.base.internal.Finalizer";

  /** Reference to Finalizer.startFinalizer(). */
  private static final Method startFinalizer;

  static {
    Class<?> finalizer =
        loadFinalizer(new SystemLoader(), new DecoupledLoader(), new DirectLoader());
    startFinalizer = getStartFinalizer(finalizer);
  }

  private static final String FINALIZER_CLASS_NAME = "com.google.common.base.internal.Finalizer";

  /** Reference to Finalizer.startFinalizer(). */
  private static final Method startFinalizer;

  static {
    Class<?> finalizer =
        loadFinalizer(new SystemLoader(), new DecoupledLoader(), new DirectLoader());
    startFinalizer = getStartFinalizer(finalizer);
  }