dups.set(i);
        }
      }
      if (dups.isEmpty()) {
        return null;
      }
      @SuppressWarnings({"rawtypes", "unchecked"})
      Entry<K, V>[] newEntries = new Entry[size - dups.cardinality()];
      for (int inI = 0, outI = 0; inI < size; inI++) {
        if (!dups.get(inI)) {
          newEntries[outI++] = entries[inI];
        }
      }
      return newEntries;
    }
  }

  /**

          dups.set(i);
        }
      }
      if (dups.isEmpty()) {
        return localAlternatingKeysAndValues;
      }
      Object[] newAlternatingKeysAndValues = new Object[(size - dups.cardinality()) * 2];
      for (int inI = 0, outI = 0; inI < size * 2; ) {
        if (dups.get(inI >>> 1)) {
          inI += 2;
        } else {
          newAlternatingKeysAndValues[outI++] =

   */
  @GwtIncompatible // SmallCharMatcher
  CharMatcher precomputedInternal() {
    BitSet table = new BitSet();
    setBits(table);
    int totalCharacters = table.cardinality();
    if (totalCharacters * 2 <= DISTINCT_CHARS) {
      return precomputedPositive(totalCharacters, table, toString());
    } else {

   */
  @GwtIncompatible // SmallCharMatcher
  CharMatcher precomputedInternal() {
    BitSet table = new BitSet();
    setBits(table);
    int totalCharacters = table.cardinality();
    if (totalCharacters * 2 <= DISTINCT_CHARS) {
      return precomputedPositive(totalCharacters, table, toString());
    } else {

*   `tf.data.experimental.dense_to_ragged_batch` to output variable ragged rank.
*   `tf.data.experimental.cardinality` is now a method on `tf.data.Dataset`.
*   `tf.data.Dataset` now supports `len(Dataset)` when the cardinality is
    finite.

### `tf.distribute`:

*   Expose experimental