* hold a reference to the executor and thus to the combiner. What we really care about is that
     * the futures are released once the combiner is done running. But we happen to provide this
     * earlier cleanup at the moment, so we're testing it.
     */
    GcFinalization.awaitClear(future1Ref);
    GcFinalization.awaitClear(future2Ref);
  }

  @AndroidIncompatible

     * hold a reference to the executor and thus to the combiner. What we really care about is that
     * the futures are released once the combiner is done running. But we happen to provide this
     * earlier cleanup at the moment, so we're testing it.
     */
    GcFinalization.awaitClear(future1Ref);
    GcFinalization.awaitClear(future2Ref);
  }

  @AndroidIncompatible

      ClosingFuture<?> future6,
      ClosingFuture<?>... moreFutures) {
    return whenAllSucceed(
        FluentIterable.of(future1, future2, future3, future4, future5, future6)
            .append(moreFutures));
  }

  private final AtomicReference<State> state = new AtomicReference<>(OPEN);
  private final CloseableList closeables = new CloseableList();
  private final FluentFuture<V> future;

    add(FirErrors.REDUNDANT_NULLABLE) { firDiagnostic ->
        RedundantNullableImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.PLATFORM_CLASS_MAPPED_TO_KOTLIN) { firDiagnostic ->
        PlatformClassMappedToKotlinImpl(
            firDiagnostic.a,
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }

  opts.prefix = prefix;

  for (int i = 0; i < dst_inputs.size(); ++i) {
    opts.input_map[ToTensorId(src_inputs[i])] =
        TensorId(dst_inputs[i].node()->name(), dst_inputs[i].index());
  }
  opts.skip_mapped_nodes = true;

  for (const tensorflow::Operation& op : control_deps) {
    opts.control_dependencies.push_back(op.node()->name());
  }

  for (int i = 0; i < nreturn_nodes; ++i) {

    // have at least one matching character).
    int threshold = ((percent * length) + 99) / 100;
    StringBuilder builder = new StringBuilder(length);
    for (int n = 0; n < length; n++) {
      builder.append(
          randomCharFrom(list.get(n) >= threshold ? NONMATCHING_CHARS : matchingChars, rand));
    }
    return builder.toString();
  }

  private static char randomCharFrom(String s, Random rand) {

    // have at least one matching character).
    int threshold = ((percent * length) + 99) / 100;
    StringBuilder builder = new StringBuilder(length);
    for (int n = 0; n < length; n++) {
      builder.append(
          randomCharFrom(list.get(n) >= threshold ? NONMATCHING_CHARS : matchingChars, rand));
    }
    return builder.toString();
  }

  private static char randomCharFrom(String s, Random rand) {