key8[ 4 ] = (byte) ( ( key[ 3 ] << 4 ) | ( ( key[ 4 ] & 0xFF ) >>> 4 ) );
        key8[ 5 ] = (byte) ( ( key[ 4 ] << 3 ) | ( ( key[ 5 ] & 0xFF ) >>> 5 ) );
        key8[ 6 ] = (byte) ( ( key[ 5 ] << 2 ) | ( ( key[ 6 ] & 0xFF ) >>> 6 ) );
        key8[ 7 ] = (byte) ( key[ 6 ] << 1 );
        for ( int i = 0; i < key8.length; i++ ) {
            key8[ i ] ^= Integer.bitCount(key8[ i ] ^ 1) & 1;

		var key []byte
		key, buf, err = msgp.ReadMapKeyZC(buf)
		if err != nil {
			return keys, err
		}
		if len(key) == 0 {
			return keys, fmt.Errorf("xlMetaInlineData: key %d is length 0", i)
		}
		keys = append(keys, string(key))
		// Skip data...
		_, buf, err = msgp.ReadBytesZC(buf)
		if err != nil {
			return keys, err
		}
	}
	return keys, nil
}

/**
 * A collection that associates an ordered pair of keys, called a row key and a column key, with a
 * single value. A table may be sparse, with only a small fraction of row key / column key pairs
 * possessing a corresponding value.
 *
 * <p>The mappings corresponding to a given row key may be viewed as a {@link Map} whose keys are
 * the columns. The reverse is also available, associating a column with a row key / value map. Note

	}
	key := keys[0]
	if !key.Compress {
		t.Fatal("expected key.Compress=true; but got false")
	}
	if key.ItemCount != int(limit) {
		t.Fatalf("expected key.ItemCount=%d; but got %v", limit, key.ItemCount)
	}
	items, err := store.GetMultiple(key)
	if err != nil {
		t.Fatalf("unable to read key %v; %v", key.String(), err)
	}
	if len(items) != int(limit) {

	}

	keys := store.List()
	if len(keys) != 1 {
		t.Fatalf("expected len(keys)=1, but found %d", len(keys))
	}

	key := keys[0]
	if !key.Compress {
		t.Fatal("expected the item to be compressed")
	}
	if key.ItemCount != 10 {
		t.Fatalf("expected itemcount=10 but found %v", key.ItemCount)
	}

	resultItems, err := store.GetMultiple(key)
	if err != nil {

    return indexOf(key) != -1;
  }

  public int get(@CheckForNull Object key) {
    int index = indexOf(key);
    return (index == -1) ? 0 : values[index];
  }

  @CanIgnoreReturnValue
  public int remove(@CheckForNull Object key) {
    return remove(key, smearedHash(key));
  }

  private int remove(@CheckForNull Object key, int hash) {

   * either key is null or isn't among the keys provided during construction, this method has no
   * effect.
   *
   * <p>This method is equivalent to {@code put(rowKey, columnKey, null)} when both provided keys
   * are valid.
   *
   * @param rowKey row key of mapping to be erased
   * @param columnKey column key of mapping to be erased

 * according to the value ordering.
 *
 * <p>The multimap does not store duplicate key-value pairs. Adding a new key-value pair equal to an
 * existing key-value pair has no effect.
 *
 * <p>Null keys and values are permitted (provided, of course, that the respective comparators
 * support them). All optional multimap methods are supported, and all returned views are
 * modifiable.
 *

      K oldKey = keys[entryForValue];
      if (Objects.equal(oldKey, key)) {
        return key;
      } else {
        replaceKeyInEntry(entryForValue, key, force);
        return oldKey;
      }
    }

    int predecessor = lastInInsertionOrder;
    int keyHash = Hashing.smearedHash(key);
    int keyEntry = findEntryByKey(key, keyHash);
    if (force) {
      if (keyEntry != ABSENT) {

    private final ImmutableList<String> keys;
    private final Random random = new Random();

    private MutateTask(ConcurrentHashMultiset<String> multiset, ImmutableList<String> keys) {
      this.multiset = multiset;
      this.keys = keys;
    }

    @Override
    public int[] call() throws Exception {
      int iterations = 100000;
      int nKeys = keys.size();
      int[] deltas = new int[nKeys];