}

  @J2ktIncompatible // Ordering.arbitrary
  @GwtIncompatible // too slow
  public void testCombinationsExhaustively_startingFromArbitrary() {
    Ordering<Object> arbitrary = Ordering.arbitrary();
    Object[] array = {1, "foo", new Object()};

    // There's no way to tell what the order should be except empirically
    sort(array, arbitrary);
    testExhaustively(arbitrary, array);
  }

  /**

  }

  @J2ktIncompatible // Ordering.arbitrary
  @GwtIncompatible // too slow
  public void testCombinationsExhaustively_startingFromArbitrary() {
    Ordering<Object> arbitrary = Ordering.arbitrary();
    Object[] array = {1, "foo", new Object()};

    // There's no way to tell what the order should be except empirically
    sort(array, arbitrary);
    testExhaustively(arbitrary, array);
  }

  /**

`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the
TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced

   */
  abstract void afterRanInterruptiblyFailure(Throwable error);

  /**
   * Interrupts the running task. Because this internally calls {@link Thread#interrupt()} which can
   * in turn invoke arbitrary code it is not safe to call while holding a lock.
   */
  @SuppressWarnings("Interruption") // We are implementing a user-requested interrupt.
  final void interruptTask() {

```

////

//// tab | Python 3.8+

```Python hl_lines="1  20"
{!> ../../docs_src/extra_models/tutorial004.py!}
```

////

## Response with arbitrary `dict`

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

    return (Class<? extends T>) implementations.get(type);
  }

  private static final Logger logger = Logger.getLogger(ArbitraryInstances.class.getName());

  /**
   * Returns an arbitrary instance for {@code type}, or {@code null} if no arbitrary instance can be
   * determined.
   */
  public static <T> @Nullable T get(Class<T> type) {
    T defaultValue = DEFAULTS.getInstance(type);
    if (defaultValue != null) {

    return (Class<? extends T>) implementations.get(type);
  }

  private static final Logger logger = Logger.getLogger(ArbitraryInstances.class.getName());

  /**
   * Returns an arbitrary instance for {@code type}, or {@code null} if no arbitrary instance can be
   * determined.
   */
  public static <T> @Nullable T get(Class<T> type) {
    T defaultValue = DEFAULTS.getInstance(type);
    if (defaultValue != null) {

   */
  abstract void afterRanInterruptiblyFailure(Throwable error);

  /**
   * Interrupts the running task. Because this internally calls {@link Thread#interrupt()} which can
   * in turn invoke arbitrary code it is not safe to call while holding a lock.
   */
  @SuppressWarnings("Interruption") // We are implementing a user-requested interrupt.
  final void interruptTask() {

import org.codehaus.plexus.interpolation.AbstractDelegatingValueSource;
import org.codehaus.plexus.interpolation.PrefixedValueSourceWrapper;
import org.codehaus.plexus.interpolation.QueryEnabledValueSource;

/**
 * Wraps an arbitrary object with an {@link ObjectBasedValueSource} instance, then
 * wraps that source with a {@link PrefixedValueSourceWrapper} instance, to which
 * this class delegates all of its calls.
 *

      throw new RuntimeException("I bet you didn't think Thread.interrupt could throw");
    }

    void doBegin() {
      super.begin();
    }
  }

  /**
   * Because Thread.interrupt() can invoke arbitrary code, it can be slow (e.g. perform IO). To
   * protect ourselves from that we want to make sure that tasks don't spin too much waiting for the
   * interrupting thread to complete the protocol.
   */
  /*