assertTrue(latch.await(10, TimeUnit.SECONDS), "All threads should complete");
        executor.shutdown();
        assertEquals(0, collisions.get(), "There should be no nonce collisions");
        assertEquals(threadCount * noncesPerThread, allNonces.size(), "All nonces should be unique");
    }

    @Test
    @DisplayName("Should handle SMB 3.0.2 dialect")
    void testSMB302Dialect() {
        // When

			m := tt.arg
			for range n {
				if got := hashDeterministicString(m); got != want {
					t.Errorf("hashDeterministicString() = %v, want %v", got, want)
				}
			}
			// Check casual collisions
			if m == nil {
				m = make(map[string]string)
			}
			m["12312312"] = ""
			if got := hashDeterministicString(m); got == want {
				t.Errorf("hashDeterministicString() = %v, does not want %v", got, want)
			}

///

### Avoid name collisions { #avoid-name-collisions }

We are importing the submodule `items` directly, instead of importing just its variable `router`.

This is because we also have another variable named `router` in the submodule `users`.

        if (!components.get(i).apply(t)) {
          return false;
        }
      }
      return true;
    }

    @Override
    public int hashCode() {
      // add a random number to avoid collisions with OrPredicate
      return components.hashCode() + 0x12472c2c;
    }

    @Override
    public boolean equals(@Nullable Object obj) {
      if (obj instanceof AndPredicate) {

   *
   * <p>This is designed for generating persistent fingerprints of strings. It isn't
   * cryptographically secure, but it produces a high-quality hash with fewer collisions than some
   * alternatives we've used in the past.
   *
   * <p>FarmHash fingerprints are encoded by {@link HashCode#asBytes} in little-endian order. This

   *
   * <p>This is designed for generating persistent fingerprints of strings. It isn't
   * cryptographically secure, but it produces a high-quality hash with fewer collisions than some
   * alternatives we've used in the past.
   *
   * <p>FarmHash fingerprints are encoded by {@link HashCode#asBytes} in little-endian order. This

	}
	return diskCount
}

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness
// in the slices returned.
func hashOrder(key string, cardinality int) []int {
	if cardinality <= 0 {
		// Returns an empty int slice for cardinality < 0.
		return nil

Using these ideas, JWT can be used for way more sophisticated scenarios.

In those cases, several of those entities could have the same ID, let's say `foo` (a user `foo`, a car `foo`, and a blog post `foo`).

So, to avoid ID collisions, when creating the JWT token for the user, you could prefix the value of the `sub` key, e.g. with `username:`. So, in this example, the value of `sub` could have been: `username:johndoe`.

   *       </ul>
   *   <li>another java.util.Set delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

   * bulkGet(keys)} operation. See <a href="http://www.mathpages.com/home/kmath199.htm">Balls in
   * Bins model</a> for mathematical formulas that can be used to estimate the probability of
   * collisions.
   *
   * @param keys arbitrary non-null keys
   * @return the stripes corresponding to the objects (one per each object, derived by delegating to