// clear absent
    assertFalse(segment.clearValueForTesting(key, hash, valueRef));

    segment.setTableEntryForTesting(0, entry);
    // don't increment count; this is used during computation
    assertTrue(segment.clearValueForTesting(key, hash, valueRef));
    // no notification sent with clearValue
    assertEquals(0, segment.count);
    assertNull(table.get(0));

    // clear wrong value reference

    // clear absent
    assertFalse(segment.clearValueForTesting(key, hash, valueRef));

    segment.setTableEntryForTesting(0, entry);
    // don't increment count; this is used during computation
    assertTrue(segment.clearValueForTesting(key, hash, valueRef));
    // no notification sent with clearValue
    assertEquals(0, segment.count);
    assertNull(table.get(0));

    // clear wrong value reference

 *       SMALL_DELAY_MS}, {@code MEDIUM_DELAY_MS}, {@code LONG_DELAY_MS}. The idea here is that a
 *       SHORT is always discriminable from zero time, and always allows enough time for the small
 *       amounts of computation (creating a thread, calling a few methods, etc) needed to reach a
 *       timeout point. Similarly, a SMALL is always discriminable as larger than SHORT and smaller

    assertSame(EntryFactory.WEAK_WRITE, EntryFactory.getFactory(Strength.WEAK, false, true));
    assertSame(EntryFactory.WEAK_ACCESS_WRITE, EntryFactory.getFactory(Strength.WEAK, true, true));
  }

  // computation tests

  public void testCompute() throws ExecutionException {
    CountingLoader loader = new CountingLoader();
    LocalCache<Object, Object> map = makeLocalCache(createCacheBuilder());

    assertSame(EntryFactory.WEAK_WRITE, EntryFactory.getFactory(Strength.WEAK, false, true));
    assertSame(EntryFactory.WEAK_ACCESS_WRITE, EntryFactory.getFactory(Strength.WEAK, true, true));
  }

  // computation tests

  public void testCompute() throws ExecutionException {
    CountingLoader loader = new CountingLoader();
    LocalCache<Object, Object> map = makeLocalCache(createCacheBuilder());

 *       SMALL_DELAY_MS}, {@code MEDIUM_DELAY_MS}, {@code LONG_DELAY_MS}. The idea here is that a
 *       SHORT is always discriminable from zero time, and always allows enough time for the small
 *       amounts of computation (creating a thread, calling a few methods, etc) needed to reach a
 *       timeout point. Similarly, a SMALL is always discriminable as larger than SHORT and smaller

   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and
   * once after loading completes). Much internal cache management is performed at the segment
   * granularity. For example, access queues and write queues are kept per segment when they are

   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and
   * once after loading completes). Much internal cache management is performed at the segment
   * granularity. For example, access queues and write queues are kept per segment when they are

// - export functions to set Config fields

// --------------------------------------------------------------------------
// The new graph construction API, still under development.

// Represents a computation graph.  Graphs may be shared between sessions.
// Graphs are thread-safe when used as directed below.
typedef struct TF_Graph TF_Graph;

// Return a new graph object.
TF_CAPI_EXPORT extern TF_Graph* TF_NewGraph(void);

  TF_Operation* plusB = Add(plus2, b, graph, s, "plusB");
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Setup a session and a partial run handle.  The partial run will allow
  // computation of A + 2 + B in two phases (calls to TF_SessionPRun):
  // 1. Feed A and get (A+2)
  // 2. Feed B and get (A+2)+B
  TF_SessionOptions* opts = TF_NewSessionOptions();
  TF_Session* sess = TF_NewSession(graph, opts, s);