assertEquals(2, copy.size());
    assertSame(copy, copy.iterator().next().member);
  }

  /*
   * The behavior of toString() and iteration is tested by LinkedHashMultiset,
   * which shares a lot of code with HashMultiset and has deterministic
   * iteration order.
   */

            .createTestSuite());
    suite.addTestSuite(HashMultimapTest.class);
    return suite;
  }

  /*
   * The behavior of toString() is tested by TreeMultimap, which shares a
   * lot of code with HashMultimap and has deterministic iteration order.
   */
  public void testCreate() {
    HashMultimap<String, Integer> multimap = HashMultimap.create();
    multimap.put("foo", 1);
    multimap.put("bar", 2);

 * A proper test suite
 * Various fixes

## Others

### This jcifs or jcifs-ng

jcifs-ng will be a proper choice for many users. 
There are a lot of SMB devices in the world.
Some of them only work with the old jcifs library.
If you want to support many SMB devices, CodeLibs jcifs library will be helpful.

        All that, on top of all the incredible help provided by a bunch of community members, the [FastAPI Experts](https://fastapi.tiangolo.com/fastapi-people/#experts), that give a lot of their time to come here and help others.

        That's a lot of work they are doing, but if more FastAPI users came to help others like them just a little bit more, it would be much less effort for them (and you and me 😅).

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

    public abstract Queue<Integer> create(Comparator<Integer> comparator);
  }

  /**
   * Does a CPU intensive operation on Integer and returns a BigInteger Used to implement an
   * ordering that spends a lot of cpu.
   */
  static class ExpensiveComputation implements Function<Integer, BigInteger> {
    @Override
    public BigInteger apply(Integer from) {
      BigInteger v = BigInteger.valueOf(from);

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.
This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**

            .createTestSuite());
    suite.addTestSuite(HashMultimapTest.class);
    return suite;
  }

  /*
   * The behavior of toString() is tested by TreeMultimap, which shares a
   * lot of code with HashMultimap and has deterministic iteration order.
   */
  public void testCreate() {
    HashMultimap<String, Integer> multimap = HashMultimap.create();
    multimap.put("foo", 1);
    multimap.put("bar", 2);

    assertThrows(IndexOutOfBoundsException.class, () -> sink.putBytes(new byte[8], 0, -1));
  }

  /**
   * This test creates a long random sequence of inputs, then a lot of differently configured sinks
   * process it; all should produce the same answer, the only difference should be the number of
   * process()/processRemaining() invocations, due to alignment.
   */