// 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);

   * <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.

            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);

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>

      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());
    }
  }

	var inconsistent int
	for i, meta := range metaArr {
		if disks[i] == nil {
			// Assuming offline drives as inconsistent,
			// to be safe and fallback to original
			// distribution order.
			inconsistent++
			continue
		}
		if !meta.IsValid() {
			inconsistent++
			continue
		}
		if meta.XLV1 != fi.XLV1 {
			inconsistent++
			continue
		}

  }

  /**
   * Creates a function that returns the same boolean output as the given predicate for all inputs.
   *
   * <p>The returned function is <i>consistent with equals</i> (as documented at {@link
   * Function#apply}) if and only if {@code predicate} is itself consistent with equals.
   *
   * <p>Prefer to use the method reference {@code predicate::test} instead. Note that it is not

        @Test
        @DisplayName("getOpnum should be consistent across multiple calls")
        void testGetOpnumConsistency() {
            // When
            int opnum1 = bind.getOpnum();
            int opnum2 = bind.getOpnum();
            int opnum3 = bind.getOpnum();

            // Then
            assertEquals(opnum1, opnum2, "Opnum should be consistent");

        // Then
        assertEquals(0, bytesRead);
    }

    @ParameterizedTest
    @ValueSource(ints = { 0, 10, 50, 100, 200 })
    @DisplayName("Should write consistent structure at different offsets")
    void testWriteBytesAtDifferentOffsets(int offset) {
        // Given
        Configuration mockConfig = mock(Configuration.class);