-0f,
        0f,
        1f,
        Float.MAX_VALUE,
        GREATEST,
        Float.MIN_NORMAL,
        -Float.MIN_NORMAL,
        Float.MIN_VALUE,
        -Float.MIN_VALUE,
        Integer.MIN_VALUE,
        Integer.MAX_VALUE,
        Long.MIN_VALUE,
        Long.MAX_VALUE
      };

  private static final float[] VALUES = Floats.concat(NUMBERS, new float[] {NaN});

  public void testHashCode() {

  private static final int[] EMPTY = {};
  private static final int[] ARRAY1 = {(int) 1};
  private static final int[] ARRAY234 = {(int) 2, (int) 3, (int) 4};

  private static final int LEAST = Integer.MIN_VALUE;
  private static final int GREATEST = Integer.MAX_VALUE;

  private static final int[] VALUES = {LEAST, (int) -1, (int) 0, (int) 1, GREATEST};

  public void testHashCode() {
    for (int value : VALUES) {

        0.1,
        0.5,
        1.0,
        Double.MAX_VALUE,
        GREATEST,
        Double.MIN_NORMAL,
        -Double.MIN_NORMAL,
        Double.MIN_VALUE,
        -Double.MIN_VALUE,
        Integer.MIN_VALUE,
        Integer.MAX_VALUE,
        Long.MIN_VALUE,
        Long.MAX_VALUE
      };

  private static final double[] VALUES = Doubles.concat(NUMBERS, new double[] {NaN});

  public void testHashCode() {

        -0f,
        0f,
        1f,
        Float.MAX_VALUE,
        GREATEST,
        Float.MIN_NORMAL,
        -Float.MIN_NORMAL,
        Float.MIN_VALUE,
        -Float.MIN_VALUE,
        Integer.MIN_VALUE,
        Integer.MAX_VALUE,
        Long.MIN_VALUE,
        Long.MAX_VALUE
      };

  private static final float[] VALUES = Floats.concat(NUMBERS, new float[] {NaN});

  public void testHashCode() {

    assertVerticalLinearTransformation(transformation, x);
  }

  public void testMappingWithSlope_minimalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;
    double slope = Double.MIN_VALUE;
    LinearTransformation transformation = LinearTransformation.mapping(x1, y1).withSlope(slope);
    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();

    assertVerticalLinearTransformation(transformation, x);
  }

  public void testMappingWithSlope_minimalSlope() {
    double x1 = 1.2;
    double y1 = 3.4;
    double slope = Double.MIN_VALUE;
    LinearTransformation transformation = LinearTransformation.mapping(x1, y1).withSlope(slope);
    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();

    checkState(ySumOfSquaresOfDeltas > 0.0);
    // The product of two positive numbers can be zero if the multiplication underflowed. We
    // force a positive value by effectively rounding up to MIN_VALUE.
    double productOfSumsOfSquaresOfDeltas =
        ensurePositive(xSumOfSquaresOfDeltas * ySumOfSquaresOfDeltas);
    return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));
  }

  public static final class ImmutableDoubleArrayHeadSubListAsListGenerator
      extends TestDoubleListGenerator {
    @Override
    protected List<Double> create(Double[] elements) {
      Double[] suffix = {Double.MIN_VALUE, Double.MAX_VALUE};
      Double[] all = concat(elements, suffix);
      return makeArray(all).subArray(0, elements.length).asList();
    }
  }

  @J2ktIncompatible
  @GwtIncompatible // used only from suite

  private static final short[] EMPTY = {};
  private static final short[] ARRAY1 = {(short) 1};
  private static final short[] ARRAY234 = {(short) 2, (short) 3, (short) 4};

  private static final short LEAST = Short.MIN_VALUE;
  private static final short GREATEST = Short.MAX_VALUE;

  private static final short[] VALUES = {LEAST, (short) -1, (short) 0, (short) 1, GREATEST};

  public void testHashCode() {
    for (short value : VALUES) {

    checkState(ySumOfSquaresOfDeltas > 0.0);
    // The product of two positive numbers can be zero if the multiplication underflowed. We
    // force a positive value by effectively rounding up to MIN_VALUE.
    double productOfSumsOfSquaresOfDeltas =
        ensurePositive(xSumOfSquaresOfDeltas * ySumOfSquaresOfDeltas);
    return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));
  }