if (RELEASE_QUALIFIERS.contains(qualifier)) {
                return String.valueOf(QUALIFIERS.indexOf(""));
            }

            int i = QUALIFIERS.indexOf(qualifier);

            // Just returning an Integer with the index here is faster, but requires a lot of if/then/else to check for
            // -1
            //  or QUALIFIERS.size and then resort to lexical ordering. Most comparisons are decided by the first

Node selectors (to constrain pods to schedule on a subset of nodes) now support
the operators {<code>In, NotIn, Exists, DoesNotExist, Gt, Lt</code>}  instead of just conjunction of exact match on node label values. In
addition, we’ve introduced a new “soft” kind of node selector that is just a
hint to the scheduler; the scheduler will try to satisfy these requests but it
does not guarantee they will be satisfied. Both the “hard” and “soft” variants

                        // Handle nested maps
                        handleNestedMap(result, key, (Map<String, Object>) value);
                        // For simplicity in test, just handle one level
                        Map<String, Object> nestedMap = (Map<String, Object>) value;
                        for (Map.Entry<String, Object> nestedEntry : nestedMap.entrySet()) {

            String id = event.getId();
            Long version = event.getVersionNo();
            Map<String, Object> source = event.toSource();
            String type = event.getEventType();

            // Just verify the methods are callable
            assertTrue(true);
        }
    }

    // Test with complex source map
    public void test_complexSourceMap() {

        int bytesWritten2 = netShareEnum.writeParametersWireFormat(dst2, 100);

        // Same number of bytes should be written
        assertEquals(bytesWritten1, bytesWritten2);

        // Data should be the same, just at different offsets
        for (int i = 0; i < bytesWritten1; i++) {
            assertEquals(dst1[i], dst2[100 + i]);
        }
    }

    @Test

    Thread.sleep(toWaitMillis);
    thread.setPriority(Thread.MAX_PRIORITY);
    Thread.class.getMethod("resume").invoke(thread);
    thread.join();
    // It's possible to race and suspend the thread just before the park call actually takes effect,
    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after

    HashTestUtils.assertInvariants(Hashing.fingerprint2011());
    assertEquals("Hashing.fingerprint2011()", Hashing.fingerprint2011().toString());
  }

  @AndroidIncompatible // slow TODO(cpovirk): Maybe just reduce iterations under Android.
  public void testGoodFastHash() {
    for (int i = 1; i < 200; i += 17) {
      HashFunction hasher = Hashing.goodFastHash(i);
      assertTrue(hasher.bits() >= i);

   */
  public static String join(String separator, long... array) {
    checkNotNull(separator);
    if (array.length == 0) {
      return "";
    }

    // For pre-sizing a builder, just get the right order of magnitude
    StringBuilder builder = new StringBuilder(array.length * 5);
    builder.append(toString(array[0]));
    for (int i = 1; i < array.length; i++) {

                    "Error while attempting to shut down the service after failure.",
                    ignored);
          }
          notifyFailed(t);
          // requireNonNull is safe now, just as it was above.
          requireNonNull(runningTask).cancel(false); // prevent future invocations.
        } finally {
          lock.unlock();
        }
      }
    }

      /*
       * Assume that equals uses the == optimization when appropriate, and that
       * it would check hash codes as an optimization when appropriate. If we
       * did these things, it would just make things worse for the most
       * performance-conscious users.
       */
      if (key.equals(candidateKey)) {
        return entry.getValue();
      }
    }
    return null;
  }