GCC as well as the all necessary libraries for a toolchain can be compiled with "-disabled-shared". This is supported by the mingw-builds scripts as an option. All the necessary object code from the GCC runtimes will be statically linked into the binaries. As a consequence the binary size will be increased in comparison to the standard toolchains. The advantage is, that there will be no dependency to external GCC runtime libraries, so the deployment of python extensions is greatly improved. Using such a toolchain is more reliable than using -static-XXX flags. However, exception heavy C++ programs (i.e. QT) should be compiled with shared runtimes to avoid problems with exceptions handling over DLL boundaries. For building typically Python extensions a customized static GCC toolchain is the best compromise IMHO.
Latest versions should be at: https://bitbucket.org/carlkl/mingw-w64-for-python/downloads
See notes below.
patches used:
numpy.patch scipy.patch
64 bit GCC toolchain:
amd64/
mingw-w64-toolchain-static_amd64-gcc-4.8.2_vc90_rev-20140131.7z
libpython27.a
numpy-1.8.0 linked against OpenBLAS:
amd64/numpy-1.8.0/
numpy-1.8.0.win-amd64-py2.7.exe
numpy-1.8.0-cp27-none-win_amd64.whl
numpy_amd64_fcompiler.log
numpy_amd64_build.log
numpy_amd64_test.log
_numpyconfig.h
config.h
scipy-0.13.3 linked against OpenBLAS:
amd64/scipy-0.13.3/
scipy-0.13.3.win-amd64-py2.7.exe
scipy-0.13.3-cp27-none-win_amd64.whl
scipy_amd64_fcompiler.log
scipy_amd64_build.log
scipy_amd64_build_cont.log
scipy_amd64_test._segfault.log
scipy_amd64_test.log
32 bit GCC toolchain:
win32/
mingw-w64-toolchain-static_win32-gcc-4.8.2_vc90_rev-20140131.7z
libpython27.a
numpy-1.8.0 linked against OpenBLAS:
win32/numpy-1.8.0/
numpy-1.8.0.win32-py2.7.exe
numpy-1.8.0-cp27-none-win32.whl
numpy_win32_fcompiler.log
numpy_win32_build.log
numpy_win32_test.log
_numpyconfig.h
config.h
scipy-0.13.3 linked against OpenBLAS:
win32/scipy-0.13.3/
scipy-0.13.3.win32-py2.7.exe
scipy-0.13.3-cp27-none-win32.whl
scipy_win32_fcompiler.log
scipy_win32_build.log
scipy_win32_build_cont.log
scipy_win32_test.log
The libpython27.a import files have been generated with gendef and dlltool according to the recommendations on the mingw-w64 faq site. It is essential to not use import libraries from anywhere, but create it with the tools in the GCC toolchain. The GCC toolchains contains correct generated mscvrXX import files per default.
The openblas DLL must be copied to numpy/core before building numpy. All Blas and Lapack code will be linked dynamically to this DLL. Because of this the overall distro size gets much smaller compared to numpy-MKL or scipy-MKL. It is not necessary to add numpy/core to the path! (at least on my machine). To load libopenblas.dll to the process space it is only necessary to import numpy - nothing else. libopenblas.dll is linked against the msvcr90.dll, just like python. The DLL itself is a fat binary containing all optimized kernels for all supported platforms. DLL, headers and import files have been included into the toolchain.
Compiling numpy and scipy<mingw>bin and python should be in the PATH. Choose 32 bit or 64 bit architecture.
copy libpython27.a to <python>libs check, that <python>libs does not contain libmsvcr90.a
apply numpy.patch
copy libopenblas.dll from <mingw>bin to numpycore of course don't ever mix 32bit and 64 bit code
create a site.cfg in the numpy folder with the absolute path to the mingw import files/header files. I copied the openblas header files, importlibs into the GCC toolchain.
create a mingw distutils.cfg file
test the configuration:
python setup.py config_fc --verbose python setup.py build --help-fcompiler
build:
python setup.py build --fcompiler=gnu95
make a exe installer:
python setup.py bdist --format=wininst
make a wheel:
Example for built 32-bit exe installer:
wininst2wheel numpy-1.8.0.win32-py2.7.exe
install:
wheel install numpy-1.8.0-cp27-none-win32.whl
test:
python -c 'import numpy; numpy.test()'
apply scipy.patch
Check fortran compiler with:
python setup.py build --fcompiler=gnu95
and a second time:
python setup.py build --fcompiler=gnu95
Build exe installer:
python setup.py bdist --format=wininst
install
test with:
import scipy; scipy.test()
libpython27.a import library with the mingw-w64 tools. Use a patched numpy distutils (see numpy.patch above).RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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