@Override
  K checkKey(K key) {
    return checkNotNull(key);
  }

  @Override
  V checkValue(V value) {
    return checkNotNull(value);
  }

  /**
   * @serialData the key class, value class, number of entries, first key, first value, second key,
   *     second value, and so on.
   */
  @GwtIncompatible // java.io.ObjectOutputStream
  private void writeObject(ObjectOutputStream stream) throws IOException {

  @Override
  K checkKey(K key) {
    return checkNotNull(key);
  }

  @Override
  V checkValue(V value) {
    return checkNotNull(value);
  }

  /**
   * @serialData the key class, value class, number of entries, first key, first value, second key,
   *     second value, and so on.
   */
  @GwtIncompatible // java.io.ObjectOutputStream
  private void writeObject(ObjectOutputStream stream) throws IOException {

   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache

                builder.field("value", 123);
                builder.field("enabled", true);
                builder.startArray("items");
                builder.value("item1");
                builder.value("item2");
                builder.endArray();
                builder.startObject("nested");
                builder.field("inner", "value");
                builder.endObject();

    }

    @Test
    public void test_execute_withInvalidQuery() {
        QueryContext context = new QueryContext("test", false);
        TermQuery termQuery = new TermQuery(new Term("field", "value"));

        try {
            queryProcessor.execute(context, termQuery, 1.0f);
            fail();
        } catch (InvalidQueryException e) {
            // expected

        if exclude is not None:
            allowed_keys -= set(exclude)
        for key, value in obj.items():
            if (
                (
                    not sqlalchemy_safe
                    or (not isinstance(key, str))
                    or (not key.startswith("_sa"))
                )
                and (value is not None or not exclude_none)
                and key in allowed_keys
            ):

	// It MUST contain the OAuth 2.0 client_id of the Relying Party
	// as an audience value. It MAY also contain identifiers for
	// other audiences. In the general case, the aud value is an
	// array of case sensitive strings. In the common special case
	// when there is one audience, the aud value MAY be a single
	// case sensitive
	audValues, ok := policy.GetValuesFromClaims(mclaims, audClaim)
	if !ok {

        commandString.eachLine { line -> logger.info(line) }

        ant.exec(executable: realExecutable, spawn: spawn, dir: cwd, taskname: name) {
            realEnv.each { key, value -> env(key: key, value: value) }
            realArgs.each { arg(value: it) }
        }

        String failedProp = "failed${name}"
        // first wait for resources, or the failure marker from the wrapper script

 * associated with a key and then add the key back to the multimap, that key will come last in the
 * key iteration order.
 *
 * <p>The multimap does not store duplicate key-value pairs. Adding a new key-value pair equal to an
 * existing key-value pair has no effect.
 *
 * <p>Keys and values may be null. All optional multimap methods are supported, and all returned

 * associated with a key and then add the key back to the multimap, that key will come last in the
 * key iteration order.
 *
 * <p>The multimap does not store duplicate key-value pairs. Adding a new key-value pair equal to an
 * existing key-value pair has no effect.
 *
 * <p>Keys and values may be null. All optional multimap methods are supported, and all returned