[Numpy-discussion] f2py and Fortran90 gfortran_filename error
Tyler Hayes
hayes.tyler@gmail....
Wed Feb 28 08:16:27 CST 2007
Hello All:
I was suggested to post this question here with the f2py experts from
comp.lang.python.
I have been able to use the example F77 files suggested in the f2py
User Manual, but the problems happened when I tried my own F90 file
(attached below.
I am able to create a <module_name>.so file using the following method:
(1) Created a Fortran90 program matsolve.f90
Note: The program compiles fine and prints the proper output for the
simple matrix specified.
(2) f2py matsolve.f90 -m matsolve2 -h matsolve2.pyf
This created the matsolve2.pyf fine
(3) f2py -c matsolve2.pyf --f90exec=/usr/bin/gfortran matsolve.f90
Note: I had to specify the f90exec path as f2py did not automatically find
it. This was the only way I could generate a *.so file.
The rub:
When I import it into Python, I receive the following
message:
>>> import matsolve2
Traceback (most recent call last):
File "<stdin>", line 1, in ?
ImportError: ./matsolve2.so: undefined symbol: _gfortran_filename
Any suggestions are greatly appreciated. (I almost started smoking
again last night! ARGH!)
Cheers,
t.
PS - Below I have attached the F90 program for LU decomposition with a
simple test case.
! MATSOLVE.f90
!
! Start main program
PROGRAM MATSOLVE
IMPLICIT NONE
INTEGER,PARAMETER :: n=3
INTEGER :: i,j
REAL,DIMENSION(n) :: x,b
REAL,DIMENSION(n,n) :: A,L,U
! Initialize the vectors and matrices with a test case from text
! Using the one given in Appendix A from Thompson.
! Known vector "b"
b(1) = 12.
b(2) = 11.
b(3) = 2.
! Known coefficient matrix "A", and initialize L and U
DO i=1,n
DO j=1,n
L(i,j) = 0.
U(i,j) = 0.
END DO
END DO
! Create matrix A
A(1,1) = 3.
A(1,2) = -1.
A(1,3) = 2.
A(2,1) = 1.
A(2,2) = 2.
A(2,3) = 3.
A(3,1) = 2.
A(3,2) = -2.
A(3,3) = -1.
! Call subroutine to create L and U matrices from A
CALL lumake(L,U,A,n)
! Print results
PRINT *, '-----------------------'
DO i=1,n
DO j=1,n
PRINT *, i, j, A(i,j), L(i,j), U(i,j)
END DO
END DO
PRINT *, '-----------------------'
! Call subroutine to solve for "x" using L and U
CALL lusolve(x,L,U,b,n)
! Print results
PRINT *, '-----------------------'
DO i=1,n
PRINT *, i, x(i)
END DO
PRINT *, '-----------------------'
END PROGRAM MATSOLVE
! Create subroutine to make L and U matrices
SUBROUTINE lumake(LL,UU,AA,n1)
IMPLICIT NONE
INTEGER,PARAMETER :: n=3
INTEGER :: i,j,k
REAL :: LUSUM
INTEGER,INTENT(IN) :: n1
REAL,DIMENSION(n,n),INTENT(IN) :: AA
REAL,DIMENSION(n,n),INTENT(OUT) :: LL,UU
! We first note that the diagonal in our UPPER matrix is
! going to be UU(j,j) = 1.0, this allows us to initialize
! the first set of expressions
UU(1,1) = 1.
! Find first column of LL
DO i = 1,n1
LL(i,1) = AA(i,1)/UU(1,1)
END DO
! Now find first row of UU
DO j = 2,n1
UU(1,j) = AA(1,j)/LL(1,1)
END DO
! Now find middle LL elements
DO j = 2,n1
DO i = j,n1
LUSUM = 0.
DO k = 1,j-1
LUSUM = LUSUM + LL(i,k)*UU(k,j)
END DO
LL(i,j) = AA(i,j) - LUSUM
END DO
! Set Diagonal UU
UU(j,j) = 1.
! Now find middle UU elements
DO i = j+1,n1
LUSUM = 0.
DO k = 1,j-1
LUSUM = LUSUM + LL(j,k)*UU(k,i)
END DO
UU(j,i) = (AA(j,i) - LUSUM)/LL(j,j)
END DO
END DO
END SUBROUTINE lumake
! Make subroutine to solve for x
SUBROUTINE lusolve(xx,L2,U2,bb,n2)
IMPLICIT NONE
INTEGER,PARAMETER :: n=3
INTEGER :: i,j,k
REAL :: LYSUM,UXSUM
REAL,DIMENSION(n):: y
INTEGER,INTENT(IN) :: n2
REAL,DIMENSION(n),INTENT(IN) :: bb
REAL,DIMENSION(n,n),INTENT(IN) :: L2,U2
REAL,DIMENSION(n),INTENT(OUT) :: xx
! Initialize
DO i=1,n2
y(i) = 0.
xx(i) = 0.
END DO
! Solve L.y = b
y(1) = bb(1)/L2(1,1)
DO i = 2,n2
LYSUM = 0.
DO k = 1,i-1
LYSUM = LYSUM + L2(i,k)*y(k)
END DO
y(i) = (bb(i) - LYSUM)/L2(i,i)
END DO
! Now do back subsitution for U.x = y
xx(n2) = y(n2)/U2(n2,n2)
DO j = n2-1,1,-1
UXSUM = 0.
DO k = j+1,n2
UXSUM = UXSUM + U2(j,k)*xx(k)
END DO
xx(j) = y(j) - UXSUM
END DO
END SUBROUTINE lusolve
--
Tyler Joseph Hayes
600 Talbot St. -- Apt. 812
London, Ontario
N6A 5L9
Tel : 519.435.0967
Fax : 519.661.3198
Cell : 416.655.7897
email: thayes@uwo.ca
GPG Key ID# 0x3AE05130
More information about the Numpy-discussion
mailing list