assertEquals(maxAccessCount, webFsIndexHelper.maxAccessCount);
    }

    public void test_setMaxAccessCount_withMaxValue() {
        webFsIndexHelper.setMaxAccessCount(Long.MAX_VALUE);
        assertEquals(Long.MAX_VALUE, webFsIndexHelper.maxAccessCount);
    }

    public void test_setMaxAccessCount_withZero() {
        webFsIndexHelper.setMaxAccessCount(0L);

    xLongs = new long[SAMPLE_SIZE];
    yLongs = new long[SAMPLE_SIZE];
    constant = new int[SAMPLE_SIZE];
    for (int i = 0; i < SAMPLE_SIZE; i++) {
      xInts[i] = random.nextInt(Integer.MAX_VALUE);
      yInts[i] = random.nextInt(Integer.MAX_VALUE);
      xLongs[i] = random.nextLong() & NONNEGATIVE_LONG_MASK;
      yLongs[i] = random.nextLong() & NONNEGATIVE_LONG_MASK;
      constant[i] = random.nextInt();
    }
  }

  @Benchmark

        assertEquals("", execJob.lastaEnv);

        // Test with very long timeout
        execJob.timeout(Integer.MAX_VALUE);
        assertEquals(Integer.MAX_VALUE, execJob.timeout);

        // Test with minimum timeout
        execJob.timeout(Integer.MIN_VALUE);
        assertEquals(Integer.MIN_VALUE, execJob.timeout);
    }

    // Test exception handling in execute
    public void test_execute_withException() {

        byte[] buffer = new byte[100];

        // Act & Assert
        assertEquals(0, response.readSetupWireFormat(buffer, 0, Integer.MAX_VALUE));
        assertEquals(0, response.readParametersWireFormat(buffer, 0, Integer.MAX_VALUE));
        assertEquals(0, response.readDataWireFormat(buffer, 0, Integer.MAX_VALUE));
    }

    assertEquals(string, readFully(reader));
    assertFullyRead(reader);

    // reset, skip, mark, then read the rest
    reader.reset();
    assertEquals(5, reader.skip(5));
    reader.mark(Integer.MAX_VALUE);
    assertEquals(string.substring(5), readFully(reader));
    assertFullyRead(reader);

    // reset to the mark and then read the rest
    reader.reset();
    assertEquals(string.substring(5), readFully(reader));

   *
   * <p>For undirected networks, this is equal to {@code incidentEdges(node).size()} + (number of
   * self-loops incident to {@code node}).
   *
   * <p>If the count is greater than {@code Integer.MAX_VALUE}, returns {@code Integer.MAX_VALUE}.
   *
   * @throws IllegalArgumentException if {@code node} is not an element of this network
   */
  int degree(N node);

  /**

    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;
    double slope = Double.MAX_VALUE;
    LinearTransformation transformation = LinearTransformation.mapping(x1, y1).withSlope(slope);

    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;
    double slope = Double.MAX_VALUE;
    LinearTransformation transformation = LinearTransformation.mapping(x1, y1).withSlope(slope);

        // Test boundary values for safe operations
        assertEquals(Integer.MAX_VALUE, validator.safeAdd(Integer.MAX_VALUE, 0));
        assertEquals(Integer.MIN_VALUE, validator.safeAdd(Integer.MIN_VALUE, 0));
        assertEquals(0, validator.safeMultiply(0, Integer.MAX_VALUE));
        assertEquals(1, validator.safeMultiply(1, 1));

        // Test exact buffer boundaries

   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache