Re: Building Python wheels with Fortran on Windows 10 under Python 3.8

Thanks very much James, I had missed this! It fixes the issue.

Regards,

Johann

On 13/01/2020 13:33, James wrote:

Johan,

Have you read the porting notes for 3.8? There's a change
to how libraries on Windows are loaded. You will likely need
to use the new `os.add_dll_directory()` function.

https://docs.python.org/3/whatsnew/3.8.html#bpo-36085-whatsnew

Regards,

James

On Mon, 13 Jan 2020 at 10:09,
Johann Rohwer <[email protected] > wrote:

Hi all

First of all, my apologies if this is not the right place
for this query, if so, please direct me to a more
appropriate forum.

We have developed a Python package for computational systems
biology that wraps two Fortran extension modules:

https://github.com/PySCeS/pysces

For the distribution of binary wheels under Windows I've
been compiling the Fortran extension modules with MinGWin
and using MSVC++ compiler to compile the Python extension,
as implimented in numpy distutils and explained in detail in
this blog post:

https://pav.iki.fi/blog/2017-10-08/pywingfortran.html

This has been working fine for previous versions of Python
(3.6 and 3.7), but under Python 3.8 the DLL won't load, I
get the following error message when trying to import the
package:

DLL load failed while importing pitcon: The
specified module could not be found.

INFO: Pitcon import failed: continuation not available

DLL load failed while importing nleq2: The specified
module could not be found.

INFO: NLEQ2 import failed: option not available

This is using Python 3.8.1 downloaded from python.org
under Windows 10 64-bit, also using 64-bit MinGWin.

When building the package under Python 3.8, the compile runs
without error and the DLL files get packaged in the .libs
folder beneath the top-level package folder, as for the
other Python versions. Only problem is that they can't be
loaded during import.

Dependencies for the build (numpy, scipy, matplotlib) are
installed using pip into a clean install of the respective
Python version:

matplotlib 3.1.2

numpy 1.18.1

scipy 1.4.1

Has anything changed in how this is handled under Python
3.8? I'm stymied because it all works off exactly the same
code base under Python 3.6 and 3.7, and moreover the compile
and wheel build completes without error, also on Python 3.8.

Thanks,

Johann

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