Array Types Design

Requirements

• We need to be able to represent roughly what Fortran allows, as it is know that the Fortran design allows compilers to deliver excellent performance. However we can go beyond Fortran and try to simplify / abstract some of the concepts, but we need to do at least what Fortran does.

• We should follow Python's canonical approach where possible, using Python's typing and be consistent with the following documents:

  • https://peps.python.org/pep-0646/
  • https://peps.python.org/pep-0593/
  • https://docs.python.org/3/library/typing.html#relevant-peps

Rosetta Stone

Examples of Fortran and Python side by side. These examples show all that Fortran allows, and we try to come up the most natural Python equivalent.

Explicit-shape arrays default lower bound

subroutine f(n, r)
integer, intent(in) :: n
real(dp), intent(out) :: r(n)
integer :: i
do i = 1, n
    r(i) = 1.0_dp / i**2
enddo
end subroutine

subroutine g(m, n, A)
integer, intent(in) :: m, n
real(dp), intent(in) :: A(m, n)
...
end subroutine

Assumed-shape arrays default lower bounds

subroutine f(r)
real(dp), intent(out) :: r(:)
integer :: n, i
n = size(r)
do i = 1, n
    r(i) = 1.0_dp / i**2
enddo
end subroutine

subroutine g(A)
real(dp), intent(in) :: A(:, :)
...
end subroutine

Explicit-shape arrays custom lower bounds

subroutine print_eigenvalues(kappa_min, kappa_max, lam)
integer, intent(in) :: kappa_min, kappa_max
real(dp), intent(in) :: lam(kappa_min:kappa_max)

integer :: kappa
do kappa = kappa_min, ubound(lam, 1)
    print *, kappa, lam(kappa)
end do
end subroutine

Assumed-shape arrays custom lower bounds

subroutine print_eigenvalues(kappa_min, lam)
integer, intent(in) :: kappa_min
real(dp), intent(in) :: lam(kappa_min:)

integer :: kappa
do kappa = kappa_min, ubound(lam, 1)
    print *, kappa, lam(kappa)
end do
end subroutine

Open questions

• How to design Python syntax / typing
• How to design ASR in the most natural and abstract way
• Should ASR allow custom lower bounds?