return (TypeToken<? extends R>) TypeToken.of(getGenericReturnType());
  }

  /**
   * Returns all declared parameters of this {@code Invokable}. Note that if this is a constructor
   * of a non-static inner class, unlike {@link Constructor#getParameterTypes}, the hidden {@code
   * this} parameter of the enclosing class is excluded from the returned parameters.
   */
  @IgnoreJRERequirement

    //                                                                       ==========

    @Test
    public void test_getMapValue_exists() {
        final Map<String, Object> inner = Map.of("key", "value");
        final Map<String, Object> map = Map.of("nested", inner);
        final Map<String, Object> result = coordinatorHelper.getMapValue(map, "nested");
        assertNotNull(result);
        assertEquals("value", result.get("key"));
    }

# Maximum concurrent group results for collapse queries.
query.collapse.max.concurrent.group.results=4
# Inner hits name for collapse queries.
query.collapse.inner.hits.name=similar_docs
# Inner hits size for collapse queries.
query.collapse.inner.hits.size=0
# Sorts for inner hits in collapse queries.
query.collapse.inner.hits.sorts=
# Default languages for queries.
query.default.languages=
# Default preference for JSON queries.

    String QUERY_COLLAPSE_INNER_HITS_NAME = "query.collapse.inner.hits.name";

    /** The key of the configuration. e.g. 0 */
    String QUERY_COLLAPSE_INNER_HITS_SIZE = "query.collapse.inner.hits.size";

    /** The key of the configuration. e.g.  */
    String QUERY_COLLAPSE_INNER_HITS_SORTS = "query.collapse.inner.hits.sorts";

    /** The key of the configuration. e.g.  */

<p>
Like arrays, slices are always one-dimensional but may be composed to construct
higher-dimensional objects.
With arrays of arrays, the inner arrays are, by construction, always the same length;
however with slices of slices (or arrays of slices), the inner lengths may vary dynamically.
Moreover, the inner slices must be initialized individually.
</p>

<h3 id="Struct_types">Struct types</h3>

<p>

  }

  @SuppressWarnings("unchecked")
  final Segment<K, V, E, S>[] newSegmentArray(int ssize) {
    return (Segment<K, V, E, S>[]) new Segment<?, ?, ?, ?>[ssize];
  }

  // Inner Classes

  /**
   * Segments are specialized versions of hash tables. This subclass inherits from ReentrantLock
   * opportunistically, just to simplify some locking and avoid separate construction.
   */

  }

  @SuppressWarnings("unchecked")
  final Segment<K, V, E, S>[] newSegmentArray(int ssize) {
    return (Segment<K, V, E, S>[]) new Segment<?, ?, ?, ?>[ssize];
  }

  // Inner Classes

  /**
   * Segments are specialized versions of hash tables. This subclass inherits from ReentrantLock
   * opportunistically, just to simplify some locking and avoid separate construction.
   */

      }
    }
  }

  @SuppressWarnings("unchecked")
  final Segment<K, V>[] newSegmentArray(int ssize) {
    return (Segment<K, V>[]) new Segment<?, ?>[ssize];
  }

  // Inner Classes

  /**
   * Segments are specialized versions of hash tables. This subclass inherits from ReentrantLock
   * opportunistically, just to simplify some locking and avoid separate construction.
   */

      }
    }
  }

  @SuppressWarnings("unchecked")
  final Segment<K, V>[] newSegmentArray(int ssize) {
    return (Segment<K, V>[]) new Segment<?, ?>[ssize];
  }

  // Inner Classes

  /**
   * Segments are specialized versions of hash tables. This subclass inherits from ReentrantLock
   * opportunistically, just to simplify some locking and avoid separate construction.
   */

        `element_spec` argument of `tf.data.experimental.load` when loading the
        previously saved dataset.
    *   Add `.element_spec` property to `tf.data.DatasetSpec` to access the
        inner spec. This can be used to extract the structure of nested
        datasets.
    *   Add `tf.data.experimental.AutoShardingPolicy.HINT` which can be used to