I'm using Fortran to supplement Python, and in a few methods I'm using a Python method as a callback in a Fortran subroutine. Everything seems to work, until I feed an array into the callback function as shown below.
RECURSIVE SUBROUTINE RECURSIVE_CURVE_SUBDIVISION(CPW, N, TOL, FUNC1)
IMPLICIT NONE
!F2PY INTENT(IN) CPW, N, TOL
!F2PY DEPEND(N) CPW
!F2PY (CALLBACK) FUNC1
INTEGER, INTENT(IN) :: N
DOUBLE PRECISION, INTENT(IN) :: CPW(0:N, 0:3), TOL
INTEGER :: I
DOUBLE PRECISION :: QP(0:N, 0:2), LP, LC, TEMP, &
AW(0:N, 0:3), BW(0:N, 0:3), V(0:2)
EXTERNAL :: FUNC1
DO I = 0, N
QP(I, :) = CPW(I, 0:2) / CPW(I, 3)
END DO
LP = 0.0D0
DO I = 0, N - 1
V = QP(I + 1, :) - QP(I, :)
CALL NORM(V, TEMP)
LP = LP + TEMP
END DO
V = QP(N, :) - QP(0, :)
CALL NORM(V, LC)
IF (ABS(LP - LC) .LE. TOL) THEN
CALL FUNC1(CPW, QP, LC, LP) !<-- here is the problem
! CALL FUNC1(LC, LP) !<-- this works
! CALL FUNC1(CPW=CPW, QP=QP, LC=LC, LP=LP)
! Added bonus if anyone can figure out how to use keyword arguements in
! the callback. For cleanliness, I'm trying to use func1(**kwargs) in Python.
ELSE
CALL SPLIT_BEZIER_CURVE(CPW, N, 0.50D0, AW, BW)
CALL RECURSIVE_CURVE_SUBDIVISION(AW, N, TOL / 2.0D0, FUNC1)
CALL RECURSIVE_CURVE_SUBDIVISION(BW, N, TOL / 2.0D0, FUNC1)
END IF
END SUBROUTINE RECURSIVE_CURVE_SUBDIVISION
Here is some output when trying to compile with f2py (using gfortran):
warning C4244: '=' : conversion from 'npy_intp' to 'npy_int', possible loss of data
warning C4244: '=' : conversion from 'npy_intp' to 'npy_int', possible loss of data
warning C4244: '+=' : conversion from 'Py_ssize_t' to 'int', possible loss of data
warning C4244: '+=' : conversion from 'Py_ssize_t' to 'int', possible loss of data
warning C4244: '=' : conversion from 'Py_ssize_t' to 'int', possible loss of data
warning C4244: '=' : conversion from 'Py_ssize_t' to 'int', possible loss of data
warning C4244: '=' : conversion from 'Py_ssize_t' to 'int', possible loss of data
error C2065: 'n' : undeclared identifier
error C2065: 'n' : undeclared identifier
The module compiles just fine with gfortran by itself. I'm thinking I don't have enough info in the !F2PY section, but haven't figured out what I'm missing yet.
Any tips are greatly appreciated.
UPDATE 1:
So I noticed that I can return a 1 x n array, but a m x n returns bogus results. For example, I can do CALL FUNC1(V) and it returns the 1 x 3 array V and prints it to the screen (the call-back function FUNC1 just prints to screen for now to test). When I substitute CP for V, it gives the warnings shown above and won't compile, so it's something to do with the shape of the array?
I don't remember where I saw this, but if I modify the statement near the top of the subroutine to:
!F2PY INTENT(IN) N, CPW, TOL
!F2PY DEPEND(N) CPW
!F2PY (CALLBACK) FUNC1
!F2PY CALL FUNC1(CP)
EXTERNAL :: FUNC1
it will compile and run, but the output from the call-back (just printing the array to screen) is bogus. It is a single float with wildly varying magnitude each iteration. Some kind of segmentation fault?
You have to pass N
when you call the function so that it knows how big the arrays are (you don't have to handle this argument in Python, but it needs it at the C level). So change the call to
CALL FUNC1(CPW, QP, LC, LP,N)
If you don't do that, but look at the .pyf signature file generated (f2py -m thingy -h thingy.pyf thingy.f90
) the relevant part (it's autogenerated signature) is
python module recursive_curve_subdivision__user__routines
interface recursive_curve_subdivision_user_interface
subroutine func1(cpw,qp) ! in :thingy:thingy.f90:recursive_curve_subdivision:unknown_interface
double precision dimension(n + 1,4),intent(in),depend(n) :: cpw
double precision dimension(n + 1,3) :: qp
end subroutine func1
end interface recursive_curve_subdivision_user_interface
end python module recursive_curve_subdivision__user__routines
(Note that I've tested this with a slightly cut-down function call with only two arguments for simplicity, so it doesn't match your code exactly).
You'll notice that it depends on N
for all the array sizes, but you never pass N
. If you do add N
as an argument it knows the sizes and the print from Python works fine.