Object key = new Object();
    Object value = new Object();
    int hash = map.hash(key);
    DummyEntry<Object, Object> entry = createDummyEntry(key, hash, value, null);
    segment.recordWrite(entry, 1, map.ticker.read());
    segment.table.set(0, entry);
    segment.readCount.incrementAndGet();
    segment.count = 1;
    segment.totalWeight = 1;

    assertSame(entry, table.get(0));

    Object key = new Object();
    Object value = new Object();
    int hash = map.hash(key);
    DummyEntry<Object, Object> entry = createDummyEntry(key, hash, value, null);
    segment.recordWrite(entry, 1, map.ticker.read());
    segment.table.set(0, entry);
    segment.readCount.incrementAndGet();
    segment.count = 1;
    segment.totalWeight = 1;

    assertSame(entry, table.get(0));

    return expiresAfterWrite();
  }

  boolean recordsWrite() {
    return expiresAfterWrite() || refreshes();
  }

  boolean recordsAccess() {
    return expiresAfterAccess();
  }

  boolean recordsTime() {
    return recordsWrite() || recordsAccess();
  }

  boolean usesWriteEntries() {
    return usesWriteQueue() || recordsWrite();
  }

  boolean usesAccessEntries() {

    return expiresAfterWrite();
  }

  boolean recordsWrite() {
    return expiresAfterWrite() || refreshes();
  }

  boolean recordsAccess() {
    return expiresAfterAccess();
  }

  boolean recordsTime() {
    return recordsWrite() || recordsAccess();
  }

  boolean usesWriteEntries() {
    return usesWriteQueue() || recordsWrite();
  }

  boolean usesAccessEntries() {

## Bug Fixes and Other Changes

*   Numerous C++ API updates.
*   New op: `parallel_stack`.
*   Introducing common tf io compression options constants for
    RecordReader/RecordWriter.
*   Add `sparse_column_with_vocabulary_file`, to specify a feature column that
    transform string features to IDs, where the mapping is defined by a
    vocabulary file.