}
  }

  public void testVerifyGetsCalled() {
    TesterThatCountsCalls tester = new TesterThatCountsCalls();

    tester.test();

    assertEquals(
        "Should have verified once per stimulus executed",
        tester.numCallsToVerify,
        tester.numCallsToNewTargetIterator * STEPS);
  }

  public void testVerifyCanThrowAssertionThatFailsTest() {

/**
 * A sorted multiset which forwards all its method calls to another sorted multiset. Subclasses
 * should override one or more methods to modify the behavior of the backing multiset as desired per
 * the <a href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingSortedMultiset} forward

    } finally {
      service.shutdown();
    }
    assertThat(holder.count).isEqualTo(ITERATION_COUNT);
    for (int length : completeLengthChecks) {
      // Verify that at max depth, less than one stack frame per submitted task was consumed
      assertThat(length - baseStackDepth).isLessThan(DIRECT_EXECUTIONS_PER_THREAD / 2);
    }
  }

  @SuppressWarnings("ObjectToString") // Intended behavior
  public void testToString() {

}

func BenchmarkMutexSpin(b *testing.B) {
	b.ResetTimer()
	b.ReportAllocs()

	// This benchmark models a situation where spinning in the mutex should be
	// profitable. To achieve this we create a goroutine per-proc.
	// These goroutines access considerable amount of local data so that
	// unnecessary rescheduling is penalized by cache misses.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64
	b.RunParallel(func(pb *testing.PB) {

		return nil, err
	}

	// All disks report unformatted we should initialized everyone.
	if shouldInitErasureDisks(sErrs) && firstDisk {
		logger.Info("Formatting %s pool, %v set(s), %v drives per set.",
			humanize.Ordinal(poolCount), setCount, setDriveCount)

		// Initialize erasure code format on disks
		format, err = initFormatErasure(GlobalContext, storageDisks, setCount, setDriveCount, deploymentID, sErrs)

    // Teredo obfuscates the mapped client port, per section 4 of the RFC.
    int port = ~ByteStreams.newDataInput(bytes, 10).readShort() & 0xffff;

    byte[] clientBytes = Arrays.copyOfRange(bytes, 12, 16);
    for (int i = 0; i < clientBytes.length; i++) {
      // Teredo obfuscates the mapped client IP, per section 4 of the RFC.
      clientBytes[i] = (byte) ~clientBytes[i];
    }

# Stop when "xargs" is not available.
if ! command -v xargs >/dev/null 2>&1
then
    die "xargs is not available"
fi

# Use "xargs" to parse quoted args.
#
# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
#
# In Bash we could simply go:
#
#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
#   set -- "${ARGS[@]}" "$@"
#

```Python hl_lines="1  8"
{!> ../../docs_src/extra_models/tutorial005.py!}
```

////

## Recap

Use multiple Pydantic models and inherit freely for each case.

 * This is for the benefit of container environments that implement code unloading.
 *
 * Most applications should share a process-wide [TaskRunner] and use queues for per-client work.
 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) {
  val lock: ReentrantLock = ReentrantLock()
  val condition: Condition = lock.newCondition()

       */
      C afterLower = requireNonNull(range.lowerBound.leastValueAbove(domain));
      C beforeUpper = requireNonNull(range.upperBound.greatestValueBelow(domain));
      // Per class spec, we are allowed to throw CCE if necessary
      empty = Range.compareOrThrow(afterLower, beforeUpper) > 0;
    }

    return empty
        ? new EmptyContiguousSet<C>(domain)