/// <summary>
/// Dot product of two arrays.
/// </summary>
/// <param name="a">input array</param>
/// <param name="b">input array</param>
/// <returns></returns>
public static ndarray dot(object a, object b)
{
dtype d = FindArrayType(asanyarray(a), null);
d = FindArrayType(asanyarray(b), d);
ndarray arr1 = np.FromAny(a, d, flags: NPYARRAYFLAGS.NPY_ALIGNED);
ndarray arr2 = np.FromAny(b, d, flags: NPYARRAYFLAGS.NPY_ALIGNED);
return(NpyCoreApi.MatrixProduct(arr1, arr2, d.TypeNum));
}
public static ndarray dot(object o1, object o2)
{
dtype d = FindArrayType(asanyarray(o1), null);
d = FindArrayType(asanyarray(o2), d);
ndarray a1 = np.FromAny(o1, d, flags: NPYARRAYFLAGS.NPY_ALIGNED);
ndarray a2 = np.FromAny(o2, d, flags: NPYARRAYFLAGS.NPY_ALIGNED);
return(NpyCoreApi.MatrixProduct(a1, a2, d.TypeNum));
}
/// <summary>
/// Matrix product of two arrays.
/// </summary>
/// <param name="o1"></param>
/// <param name="o2"></param>
/// <returns></returns>
public static ndarray MatrixProduct(object o1, object o2)
{
dtype d = FindArrayType(o1, null);
d = FindArrayType(o2, d);
ndarray a1 = np.FromAny(o1, d, flags: NPYARRAYFLAGS.NPY_ALIGNED);
ndarray a2 = np.FromAny(o2, d, flags: NPYARRAYFLAGS.NPY_ALIGNED);
if (a1.ndim == 0)
{
return(EnsureAnyArray((a1.item() as ndarray) * a2));
}
else if (a2.ndim == 0)
{
return(EnsureAnyArray(a1 * (a2.item() as ndarray)));
}
else
{
return(NpyCoreApi.MatrixProduct(a1, a2, d.TypeNum));
}
}
