* Tasks may be canceled while they are waiting to be executed, or while they are executing.
 *
 * Canceling a task that is waiting to execute prevents that upcoming execution. Canceling a task
 * that is currently executing does not impact the ongoing run, but it does prevent a recurrence
 * from being scheduled.
 *
 * Tasks may opt-out of cancellation with `cancelable = false`. Such tasks will recur until they
 * decide not to by returning -1L.
 *

  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = randomSource.nextLong();
    if (dividend == -1) {
      return r;
    } else {

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.internal.compat.interactivity;

import javax.inject.Inject;
import javax.inject.Named;
import javax.inject.Singleton;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

            .<String>nodeOrder(ElementOrder.<String>natural());
    ImmutableGraph.Builder<String> immutableGraphBuilder = graphBuilder.immutable();

    // Update GraphBuilder, but this shouldn't impact immutableGraphBuilder
    graphBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableGraph<String> emptyGraph = immutableGraphBuilder.build();

            .<String>nodeOrder(ElementOrder.<String>natural());
    ImmutableGraph.Builder<String> immutableGraphBuilder = graphBuilder.immutable();

    // Update GraphBuilder, but this shouldn't impact immutableGraphBuilder
    graphBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableGraph<String> emptyGraph = immutableGraphBuilder.build();

inference
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)
are skipped, and any checks implemented inside the shape inference code are not
executed.

The security impact of skipping those checks should be low, since the attack
scenario would require a malicious user to be able to control the model which as
stated above is already equivalent to code execution. In any case, the

    ImmutableNetwork.Builder<String, Integer> immutableNetworkBuilder =
        networkBuilder.<String, Integer>immutable();

    // Update NetworkBuilder, but this shouldn't impact immutableNetworkBuilder
    networkBuilder.allowsSelfLoops(false).nodeOrder(ElementOrder.<String>unordered());

    ImmutableNetwork<String, Integer> emptyNetwork = immutableNetworkBuilder.build();

 * well-formed, but doesn't guarantee values are internally consistent. Callers must take care to
 * configure the factory when sample values impact the correctness of the test.
 */
class TestValueFactory : Closeable {
  var taskFaker: TaskFaker = TaskFaker()
  var taskRunner: TaskRunner = taskFaker.taskRunner
  var dns: Dns = Dns.SYSTEM

best used in bulk, on the order of MiB of memory allocated on each use.

Note that by allowing for this limited form of manual memory allocation
that use-after-free bugs are possible with regular Go values. This package
limits the impact of these use-after-free bugs by preventing reuse of freed
memory regions until the garbage collector is able to determine that it is
safe. Typically, a use-after-free bug will result in a fault and a helpful

  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = randomSource.nextLong();
    if (dividend == -1) {
      return r;
    } else {