assertTrue(Double.isNaN(DoubleMath.log2(-d)));
    }
  }

  public void testLog2Zero() {
    assertThat(DoubleMath.log2(0.0)).isNegativeInfinity();
    assertThat(DoubleMath.log2(-0.0)).isNegativeInfinity();
  }

  public void testLog2NaNInfinity() {
    assertThat(DoubleMath.log2(Double.POSITIVE_INFINITY)).isPositiveInfinity();
    assertTrue(Double.isNaN(DoubleMath.log2(Double.NEGATIVE_INFINITY)));

     */
    public void sendrecv(final DcerpcMessage msg) throws DcerpcException, IOException {
        byte[] stub, frag;
        NdrBuffer buf, fbuf;
        final boolean isLast;
        boolean isDirect;
        DcerpcException de;

        if (state == 0) {
            bind();
        }

        isDirect = true;

        stub = jcifs.smb1.smb1.BufferCache.getBuffer();

     * the transformation is vertical. (If it is zero, the transformation is horizontal.)
     */
    public LinearTransformation withSlope(double slope) {
      checkArgument(!Double.isNaN(slope));
      if (isFinite(slope)) {
        double yIntercept = y1 - x1 * slope;
        return new RegularLinearTransformation(slope, yIntercept);
      } else {
        return new VerticalLinearTransformation(x1);

    assertThat(max(-0.0, 0.0)).isEqualTo(0.0);
    assertThat(max(0.0, -0.0)).isEqualTo(0.0);
    assertThat(max(NUMBERS)).isEqualTo(GREATEST);
    assertThat(Double.isNaN(max(VALUES))).isTrue();
  }

  @GwtIncompatible
  public void testMin_noArgs() {
    assertThrows(IllegalArgumentException.class, () -> min());
  }

  public void testMin() {

    assertThat(max(-0.0, 0.0)).isEqualTo(0.0);
    assertThat(max(0.0, -0.0)).isEqualTo(0.0);
    assertThat(max(NUMBERS)).isEqualTo(GREATEST);
    assertThat(Double.isNaN(max(VALUES))).isTrue();
  }

  @GwtIncompatible
  public void testMin_noArgs() {
    assertThrows(IllegalArgumentException.class, () -> min());
  }

  public void testMin() {

    assertThat(max(-0f, 0f)).isEqualTo(0f);
    assertThat(max(0f, -0f)).isEqualTo(0f);
    assertThat(max(NUMBERS)).isEqualTo(GREATEST);
    assertThat(Float.isNaN(max(VALUES))).isTrue();
  }

  @GwtIncompatible
  public void testMin_noArgs() {
    assertThrows(IllegalArgumentException.class, () -> min());
  }

  public void testMin() {

    assertThat(max(-0f, 0f)).isEqualTo(0f);
    assertThat(max(0f, -0f)).isEqualTo(0f);
    assertThat(max(NUMBERS)).isEqualTo(GREATEST);
    assertThat(Float.isNaN(max(VALUES))).isTrue();
  }

  @GwtIncompatible
  public void testMin_noArgs() {
    assertThrows(IllegalArgumentException.class, () -> min());
  }

  public void testMin() {

    return Float.compare(a, b);
  }

  /**
   * Returns {@code true} if {@code value} represents a real number. This is equivalent to, but not
   * necessarily implemented as, {@code !(Float.isInfinite(value) || Float.isNaN(value))}.
   *
   * <p>Prefer {@link Float#isFinite(float)} instead.
   *
   * @since 10.0
   */
  @InlineMe(replacement = "Float.isFinite(value)")
  public static boolean isFinite(float value) {

    return Double.compare(a, b);
  }

  /**
   * Returns {@code true} if {@code value} represents a real number. This is equivalent to, but not
   * necessarily implemented as, {@code !(Double.isInfinite(value) || Double.isNaN(value))}.
   *
   * <p>Prefer {@link Double#isFinite(double)} instead.
   *
   * @since 10.0
   */
  @InlineMe(replacement = "Double.isFinite(value)")
  public static boolean isFinite(double value) {

    *   Extend `tf.function` with basic support for CompositeTensors arguments
        (such as `SparseTensor` and `RaggedTensor`).
    *   `parallel_for.pfor`: add converters for Softmax, LogSoftmax, IsNaN, All,
        Any, and MatrixSetDiag.
    *   `parallel_for`: add converters for LowerTriangularSolve and Cholesky.
    *   `parallel_for`: add converters for `LogMatrixDeterminant` and
        `MatrixBandPart`.