- Added container filesystem to the `ImageFsInfoResponse`. ([#120914](https://github.com/kubernetes/kubernetes/pull/120914), [@kannon92](https://github.com/kannon92))
- Added multiplication functionality to `Quantity`. ([#117411](https://github.com/kubernetes/kubernetes/pull/117411), [@tenzen-y](https://github.com/tenzen-y))

things I used to know.  Let me see:  four times five is twelve,
and four times six is thirteen, and four times seven is--oh dear!
I shall never get to twenty at that rate!  However, the
Multiplication Table doesn't signify:  let's try Geography.
London is the capital of Paris, and Paris is the capital of Rome,
and Rome--no, THAT'S all wrong, I'm certain!  I must have been

 * @author Jesse Wilson
 * @author Austin Appleby
 */
@GwtCompatible
final class Hashing {
  private Hashing() {}

  /*
   * These should be ints, but we need to use longs to force GWT to do the multiplications with
   * enough precision.
   */
  private static final long C1 = 0xcc9e2d51;
  private static final long C2 = 0x1b873593;

  /*

 * @author Jesse Wilson
 * @author Austin Appleby
 */
@GwtCompatible
final class Hashing {
  private Hashing() {}

  /*
   * These should be ints, but we need to use longs to force GWT to do the multiplications with
   * enough precision.
   */
  private static final long C1 = 0xcc9e2d51;
  private static final long C2 = 0x1b873593;

  /*

statements, not expressions, they fall
outside the operator hierarchy.
As a consequence, statement <code>*p++</code> is the same as <code>(*p)++</code>.
</p>
<p>
There are five precedence levels for binary operators.
Multiplication operators bind strongest, followed by addition
operators, comparison operators, <code>&amp;&amp;</code> (logical AND),
and finally <code>||</code> (logical OR):
</p>

<pre class="grammar">

* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

00D6          ; mapped                 ; 00F6          # 1.1  LATIN CAPITAL LETTER O WITH DIAERESIS
00D7          ; valid                  ;      ; NV8    # 1.1  MULTIPLICATION SIGN
00D8          ; mapped                 ; 00F8          # 1.1  LATIN CAPITAL LETTER O WITH STROKE
00D9          ; mapped                 ; 00F9          # 1.1  LATIN CAPITAL LETTER U WITH GRAVE