* value can result in multiple misses, all returning the results of a single cache load
   * operation.
   */
  public long missCount() {
    return missCount;
  }

  /**
   * Returns the ratio of cache requests which were misses. This is defined as {@code missCount /

            // Just verify no exceptions occurred

            // Clean up
            processHelper.destroyProcess(sessionId1);
            processHelper.destroyProcess(sessionId2);

            // Test passes if no exceptions thrown
            assertTrue(true);
        } catch (Exception e) {
            fail("Unexpected exception: " + e.getMessage());
        }
    }

      hits.add(allConstants[allConstants.length - 1].name());
    }

    List<String> misses = new ArrayList<>();
    for (int i = 0; i < 256 - hits.size(); ++i) {
      misses.add("INVALID");
    }

    List<String> sampleDataList = new ArrayList<>();
    sampleDataList.addAll(hits);
    sampleDataList.addAll(misses);
    Collections.shuffle(sampleDataList);

        assertEquals(value1, value2);
    }

    // Test property that should be consistent
    public void test_get_propertyFilter() {
        // Test a regular property that passes through
        String value = fessConfig.get("domain.title");
        assertEquals("Test Fess", value);
    }

    // Test null property handling
    public void test_get_nullProperty() {

        violations = validator.validate(bean);
        assertEquals(1, violations.size()); // Only CronExpression violation

        bean.setRequiredCron(""); // Empty string passes NotNull but should pass CronExpression too
        violations = validator.validate(bean);
        assertTrue(violations.isEmpty());
    }

    // Test annotation composition

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing

      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing