*
 * <p>Note that although your APIs should be liberal in what they accept, your methods which
 * <i>return</i> iterables should make every attempt to return ones of the robust variety.
 *
 * <p>This testing utility is not thread-safe.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
public final class MinimalIterable<E extends @Nullable Object> implements Iterable<E> {
  /** Returns an iterable whose iterator returns the given elements in order. */

        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
      # Ref: https://github.com/actions/runner/issues/2033
      - name: Fix git safe.directory in container
        run: mkdir -p /home/runner/work/_temp/_github_home && printf "[safe]\n\tdirectory = /github/workspace" > /home/runner/work/_temp/_github_home/.gitconfig
      # Allow debugging with tmate
      - name: Setup tmate session

  @Override
  int indexOf(@CheckForNull Object target) {
    if (!contains(target)) {
      return -1;
    }
    // The cast is safe because of the contains check—at least for any reasonable Comparable class.
    @SuppressWarnings("unchecked")
    // requireNonNull is safe because of the contains check.
    C c = (C) requireNonNull(target);
    return (int) domain.distance(first(), c);
  }

  @Override

          submittingTaskQueue.nextTask = task;
          // requireNonNull(delegate) is safe for reasons similar to requireNonNull(sequencer).
          submittingTaskQueue.nextExecutor = requireNonNull(delegate);
          delegate = null;
        } else {
          // requireNonNull(delegate) is safe for reasons similar to requireNonNull(sequencer).
          Executor localDelegate = requireNonNull(delegate);

 *
 * <p>The ticker can be configured so that the time is incremented whenever {@link #read} is called:
 * see {@link #setAutoIncrementStep}.
 *
 * <p>This class is thread-safe.
 *
 * @author Jige Yu
 * @since 10.0
 */
@ElementTypesAreNonnullByDefault
@GwtCompatible
public class FakeTicker extends Ticker {

  private final AtomicLong nanos = new AtomicLong();

      Cell<R, C, V> cell = cellList.get(i);
      R rowKey = cell.getRowKey();
      C columnKey = cell.getColumnKey();
      V value = cell.getValue();

      /*
       * These requireNonNull calls are safe because we construct the maps to hold all the provided
       * cells.
       */
      cellRowIndices[i] = requireNonNull(rowIndex.get(rowKey));
      Map<C, V> thisRow = requireNonNull(rows.get(rowKey));

          submittingTaskQueue.nextTask = task;
          // requireNonNull(delegate) is safe for reasons similar to requireNonNull(sequencer).
          submittingTaskQueue.nextExecutor = requireNonNull(delegate);
          delegate = null;
        } else {
          // requireNonNull(delegate) is safe for reasons similar to requireNonNull(sequencer).
          Executor localDelegate = requireNonNull(delegate);

   * service listeners}. This is extracted into its own object so that {@link ServiceListener} could
   * be made {@code static} and its instances can be safely constructed and added in the {@link
   * ServiceManager} constructor without having to close over the partially constructed {@link
   * ServiceManager} instance (i.e. avoid leaking a pointer to {@code this}).
   */

   * service listeners}. This is extracted into its own object so that {@link ServiceListener} could
   * be made {@code static} and its instances can be safely constructed and added in the {@link
   * ServiceManager} constructor without having to close over the partially constructed {@link
   * ServiceManager} instance (i.e. avoid leaking a pointer to {@code this}).
   */

whether these uses were recommended or considered safe, or where we recommend
some form of isolation when dealing with untrusted data. As a result, this
document also outlines what issues we consider as TensorFlow security
vulnerabilities.

We recognize issues as vulnerabilities only when they occur in scenarios that we
outline as safe; issues that have a security impact only when TensorFlow is used