I have a problem with calling Fortran code including NetCDF subroutines from Python using F2PY. I manage to compile the code OK but when I call it from Python I always get a 'Memory Fault' error.
For testing purposes I am using a code from the Unidata website:
http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-f90.
I included the code below:
subroutine simple_xy_wr
use netcdf
implicit none
! This is the name of the data file we will create.
character (len = *), parameter :: FILE_NAME = "simple_xy.nc"
! We are writing 2D data, a 12 x 6 grid.
integer, parameter :: NDIMS = 2
integer, parameter :: NX = 6, NY = 12
! When we create netCDF files, variables and dimensions, we get back
! an ID for each one.
integer :: ncid, varid, dimids(NDIMS)
integer :: x_dimid, y_dimid
! This is the data array we will write. It will just be filled with
! a progression of integers for this example.
integer :: data_out(NY, NX)
! Loop indexes, and error handling.
integer :: x, y
! Create some pretend data. If this was not an example program, we
! would have some real data to write, for example, model output.
do x = 1, NX
do y = 1, NY
data_out(y, x) = (x - 1) * NY + (y - 1)
end do
end do
! Always check the return code of every netCDF function call. In
! this example program, wrapping netCDF calls with "call check()"
! makes sure that any return which is not equal to nf90_noerr (0)
! will print a netCDF error message and exit.
! Create the netCDF file. The nf90_clobber parameter tells netCDF to
! overwrite this file, if it already exists.
call check(nf90_create(FILE_NAME, NF90_CLOBBER, ncid) )
! Define the dimensions. NetCDF will hand back an ID for each.
call check(nf90_def_dim(ncid, "x", NX, x_dimid) )
call check( nf90_def_dim(ncid, "y", NY, y_dimid) )
! The dimids array is used to pass the IDs of the dimensions of
! the variables. Note that in fortran arrays are stored in
! column-major format.
dimids = (/ y_dimid, x_dimid /)
! Define the variable. The type of the variable in this case is
NF90_INT (4-byte integer).
call check( nf90_def_var(ncid, "data", NF90_INT, dimids, varid) )
! End define mode. This tells netCDF we are done defining metadata.
call check( nf90_enddef(ncid) )
! Write the pretend data to the file. Although netCDF supports
! reading and writing subsets of data, in this case we write all the
! data in one operation.
call check( nf90_put_var(ncid, varid, data_out) )
! Close the file. This frees up any internal netCDF resources
! associated with the file, and flushes any buffers.
call check( nf90_close(ncid) )
print *, "*** SUCCESS writing example file simple_xy.nc! "
contains
subroutine check(status)
integer, intent ( in) :: status
if(status /= nf90_noerr) then
print *, trim(nf90_strerror(status))
stop 2
end if
end subroutine check
end subroutine simple_xy_wr
I compile this code as follows using F2PY:
> f2py -c -L/gfortran-4.4.5/lib -lnetcdff \
> -I/gfortran-4.4.5/include \
> --fcompiler=gfortran \
> --f90flags="-g -fconvert=little-endian -frecord-marker=8 -fdefault-real-8 -Wall -O -fbounds-check -ffixed-line-length-none -ffree-line-length-none -fbacktrace -fcheck=all" \
> -m __test__ test2.f90 --debug
>
> f2py -h __test__.pyf -m __test__ test2.f90 --overwrite-signature
In python I do the following:
import __test__
__test__.simple_xy_wr()
which invariably results in a Memory Fault(coredump) error and nothing else, i.e. I get no other information. Having used print statements it seems that the error occurs at the
call check(nf90_create(FILE_NAME, NF90_CLOBBER, ncid) )
I then replaced this line with (having defined status as an integer):
status=nf90_create(FILE_NAME, NF90_CLOBBER, ncid)
and I still get the Memory Fault(coredump) error. This is seems that it is definitely the call to NF90_create that results in the error.
I have another code (more complicated) where exactly the same error occurs at the first call to a NF90 subroutine.
Any ideas what causes this error and how I can get around it. I am not even sure how to debug this anymore. I had a look at the Unidata webpages but am none the wiser.