// Then - should be same instances
        assertSame(config1, config2, "Configuration should be consistent");
        assertSame(dfs1, dfs2, "DFS resolver should be consistent");
        assertSame(cache1, cache2, "Buffer cache should be consistent");
    }

    @Test
    @DisplayName("Context should provide working resource creation")

            assertSame(mockConfig, result, "getConfig() should return the expected configuration");
        }

        @Test
        @DisplayName("Should maintain consistent getConfig return value")
        void shouldMaintainConsistentGetConfigReturn() {
            SmbSession mockSession = mock(SmbSession.class);
            Configuration mockConfig = mock(Configuration.class);

        assertNotSame(item1.hashCode(), item3.hashCode());

        // Consistent hashCode
        assertEquals(item1.hashCode(), item1.hashCode());
    }

    @Test
    public void test_hashCode_withNullInput() {
        // Test hashCode with null input - should not throw, returns consistent hash for null
        ProtwordsItem item1 = new ProtwordsItem(1, null);

   * <p>The {@code hash} has the following properties:
   *
   * <ul>
   *   <li>It is <i>consistent</i>: for any reference {@code x}, multiple invocations of {@code
   *       hash(x}} consistently return the same value provided {@code x} remains unchanged
   *       according to the definition of the equivalence. The hash need not remain consistent from
   *       one execution of an application to another execution of the same application.

   * <p>The {@code hash} has the following properties:
   *
   * <ul>
   *   <li>It is <i>consistent</i>: for any reference {@code x}, multiple invocations of {@code
   *       hash(x}} consistently return the same value provided {@code x} remains unchanged
   *       according to the definition of the equivalence. The hash need not remain consistent from
   *       one execution of an application to another execution of the same application.

then <i>A</i> is synchronized before <i>B</i>.
All the atomic operations executed in a program behave as though executed
in some sequentially consistent order.
</p>

<p>
The preceding definition has the same semantics as C++’s sequentially consistent atomics
and Java’s <code>volatile</code> variables.
</p>

<h3 id="finalizer">Finalizers</h3>

<p>

        assertSame(invertibleCryptographer, first);
    }

    @Test
    public void test_providePrimaryInvertibleCryptographer_consistency() {
        // Test multiple calls return consistent results
        for (int i = 0; i < 10; i++) {
            InvertibleCryptographer cryptographer = securityResourceProvider.providePrimaryInvertibleCryptographer();
            assertNotNull(cryptographer);

            long timeSameLength = measureEqualsTime(auth3, auth4, TIMING_ITERATIONS);

            // Timing should be relatively consistent regardless of length differences
            double maxTime = Math.max(timeDiffLength, timeSameLength);
            double minTime = Math.min(timeDiffLength, timeSameLength);

      K conflict = inverse.delegate.putIfAbsent(v, k);
      if (conflict != null) {
        broken = entry;
        // We're definitely going to throw, but we'll try to keep the BiMap in an internally
        // consistent state by removing the bad entry.
        itr.remove();
      }
    }
    if (broken != null) {
      throw new IllegalArgumentException("value already present: " + broken.getValue());
    }
  }

        assertNotSame(item1.hashCode(), item4.hashCode());
    }

    @Test
    public void test_hashCode_withNullInput() {
        // Test hashCode with null input - should not throw, returns consistent hash for null
        StopwordsItem item1 = new StopwordsItem(1, null);
        StopwordsItem item2 = new StopwordsItem(2, null);

        // Should not throw
        int hash1 = item1.hashCode();