* there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,

		// for users who might have used master
		// branch
		fi.Data = inData.find(fi.DataDir)
	}
	return fi, nil
}

// hashDeterministicString will return a deterministic hash for the map values.
// Trivial collisions are avoided, but this is by no means a strong hash.
func hashDeterministicString(m map[string]string) uint64 {
	// Seed (random)
	crc := uint64(0xc2b40bbac11a7295)
	// Xor each value to make order independent

        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

  // (1) 00 01 02 03 04 05 06 07 80
  // (2) 00 01 02 03 04 05 06 07 81
  // (3) 00 01 02 03 04 05 06 07 ff (or anything in between)
  // A fault implementation will generate collisions for these inputs.
  public void testCollisionsDueToIncorrectSignExtension() {
    byte[] col1 = new byte[] {0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, (byte) 0x80};

	return int(sum64 % uint64(cardinality))
}

// 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
	}

includes software developed by the ObjectWeb consortium as part of the ASM project at http://asm.ow2.org/ http://asm.ow2.org/. A subset of ASM is re-packaged within the source and binary of the plug-in (org.eclipse.sisu.space.asm.*) to avoid version collisions with other usage and is also available from the plug-in's github repository. Your use of the ASM code is subject to the terms and conditions of the ASM License below which is also available at http://asm.ow2.org/license.html http://asm.ow2.org/license.html....

			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