assertFalse(user.refresh());
        assertEquals(1, user.getRefreshCount());
    }

    @Test
    public void test_serialization() {
        // Test that implementations can be serialized
        FessUser user = new TestFessUser("testuser", new String[] { "role1", "role2" }, new String[] { "group1", "group2" },
                new String[] { "perm1", "perm2" });

  virtual absl::Status AddDevices(
      std::vector<std::unique_ptr<Device>> devices) = 0;

  // Block until all pending nodes are finished.
  virtual absl::Status AsyncWait() = 0;

  // Add a function (serialized FunctionDef protocol buffer) so that it can
  // be executed as an op. Return error if the function with the same name
  // already exists.
  virtual absl::Status AddFunctionDef(const FunctionDef& fdef) = 0;

		if err != nil {
			return keys, err
		}
	}
	return keys, nil
}

// serialize will serialize the provided keys and values.
// The function will panic if keys/value slices aren't of equal length.
// Payload size can give an indication of expected payload size.
// If plSize is <= 0 it will be calculated.
func (x *xlMetaInlineData) serialize(plSize int, keys [][]byte, vals [][]byte) {
	if len(keys) != len(vals) {

import org.jspecify.annotations.Nullable;

/**
 * Collections of strategies of generating the k * log(M) bits required for an element to be mapped
 * to a BloomFilter of M bits and k hash functions. These strategies are part of the serialized form
 * of the Bloom filters that use them, thus they must be preserved as is (no updates allowed, only
 * introduction of new versions).
 *

come with the compiler are not designed to be used with untrusted data and
should be used with caution when working with untrusted models.

### Saved graphs and checkpoints

When loading untrusted serialized computation graphs (in form of a `GraphDef`,
`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the

### JSON Performance { #json-performance }

     * Deserialization calls inverse() on the forward bimap and returns that
     * inverse.
     *
     * If a bimap and its inverse are serialized together, the deserialized
     * instances have inverse() methods that return the other.
     */

    @Override
    @ParametricNullness
    K checkKey(@ParametricNullness K key) {

    Thread t1 = newStartedThread(c1);
    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */
  public void testSerialization() throws Exception {
    AtomicDoubleArray x = new AtomicDoubleArray(SIZE);
    for (int i = 0; i < SIZE; i++) {
      x.set(i, (double) -i);
    }

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *listPathOptions) Msgsize() (s int) {

  @SuppressWarnings("RedundantOverride")
  @Override
  @J2ktIncompatible
  @GwtIncompatible
    Object writeReplace() {
    return super.writeReplace();
  }

  // This class is never actually serialized directly, but we have to make the
  // warning go away (and suppressing would suppress for all nested classes too)
  @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;