if (rem == 0) {
      return div;
    }

    /*
     * Normal Java division rounds towards 0, consistently with RoundingMode.DOWN. We just have to
     * deal with the cases where rounding towards 0 is wrong, which typically depends on the sign of
     * p / q.
     *
     * signum is 1 if p and q are both nonnegative or both negative, and -1 otherwise.
     */

            assertTrue(str.contains("nativeFileSystem=NTFS"), "Should contain file system");
        }
    }

    /**
     * Tests for edge cases and error conditions
     */
    @Nested
    @DisplayName("Edge Case Tests")
    class EdgeCaseTests {

        @Test
        @DisplayName("Should handle null configuration gracefully")

        assertTrue(result.contains("path=null"));
        assertTrue(result.contains("altPath=null"));
        assertTrue(result.contains("node=NODE"));
    }

    // Edge Cases and Boundary Tests

    @Test
    public void testMaximumValues() {
        ByteBuffer bb = ByteBuffer.wrap(testBuffer).order(ByteOrder.LITTLE_ENDIAN);

        bb.putShort((short) 3);

            fileAttributesField.setAccessible(true);
            assertEquals(0x01, fileAttributesField.get(response));
        }
    }

    @Nested
    @DisplayName("Edge Cases and Boundary Tests")
    class EdgeCasesTests {

        @Test
        @DisplayName("Should handle negative time values")
        void testNegativeTimeValues() throws SMBProtocolDecodingException {

    return from(Arrays.asList(elements));
  }

  /**
   * Construct a fluent iterable from another fluent iterable. This is obviously never necessary,
   * but is intended to help call out cases where one migration from {@code Iterable} to {@code
   * FluentIterable} has obviated the need to explicitly convert to a {@code FluentIterable}.
   *

    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about
    // twice as many reads and writes. But benchmarking shows that they usually perform better than

   * other, pass it first. Unfortunately, since this method sets the generic type of the returned
   * set based on the type of the first set passed, this could in rare cases force you to make a
   * cast, for example:
   *
   * {@snippet :
   * Set<Object> aFewBadObjects = ...
   * Set<String> manyBadStrings = ...
   *
   * // impossible for a non-String to be in the intersection

   * timeouts (due to a problem with the transport). When a stream times out we don't know whether
   * the problem impacts just one stream or the entire connection.
   *
   * To differentiate the two cases we ping the server when a stream times out. If the overall
   * connection is fine the ping will receive a pong; otherwise it won't.
   *

   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is
   *       detected, sacrificing the compactness guarantee in very rare cases in exchange for much
   *       more reliable worst-case behavior.
   *   <li>null, if no entries have yet been added to the map
   * </ul>
   */
  private transient @Nullable Object table;

  /**

         * behavior on all platforms, TypeResolver must return the appropriate TypeVariable
         * implementation in each of the three possible cases:
         *
         * 1. Under Android, the built-in TypeVariable implementation interoperates with ours.
         * Therefore, we can always create our own TypeVariable. (One downside of our TypeVariable