#48997 closed defect (wontfix)
py34-numpy incompatible subtype on Mac OS X Tiger G3
Reported by: | RivetBenoit (Benoit Rivet) | Owned by: | macports-tickets@… |
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Priority: | Normal | Milestone: | |
Component: | ports | Version: | 2.3.3 |
Keywords: | Cc: | ||
Port: |
Description
I've been trying to install numpy, scipy and matplotlib for python3.4 on a G3 ibook running Mac OS X.4. py34-scipy does not build yet (and py34-matplotlib requires py34-pyobjc-cocoa which won't compile on G3); however, investigating the scipy install bug led me to discover that, though py34-numpy seems to build successfully, I can't use it on my G3 ibook. Precisely :
cd /opt/local/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/numpy/ lipo -info */*.so
gives the following results :
Non-fat file: core/_dotblas.so is architecture: ppc7400 Non-fat file: core/_dummy.so is architecture: ppc Non-fat file: core/multiarray.so is architecture: ppc Non-fat file: core/multiarray_tests.so is architecture: ppc Non-fat file: core/operand_flag_tests.so is architecture: ppc Non-fat file: core/scalarmath.so is architecture: ppc Non-fat file: core/struct_ufunc_test.so is architecture: ppc Non-fat file: core/test_rational.so is architecture: ppc Non-fat file: core/umath.so is architecture: ppc Non-fat file: core/umath_tests.so is architecture: ppc Non-fat file: fft/fftpack_lite.so is architecture: ppc Non-fat file: lib/_compiled_base.so is architecture: ppc Non-fat file: linalg/_umath_linalg.so is architecture: ppc7400 Non-fat file: linalg/lapack_lite.so is architecture: ppc7400 Non-fat file: random/mtrand.so is architecture: ppc
Change History (2)
comment:1 Changed 9 years ago by seanfarley (Sean Farley)
Resolution: | → wontfix |
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Status: | new → closed |
comment:2 Changed 9 years ago by RivetBenoit (Benoit Rivet)
I realise that my ticket is a duplicate of https://trac.macports.org/ticket/47832. My workaround so far has been to install numpy with pip :
sudo -H /opt/local/Library/Frameworks/Python.framework/Versions/3.4/bin/pip install numpy
Everything works fine.
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You're trying to compile modern source code on hardware that has been obsolete for over a decade? You're welcome to work on this and figure it out (and I would accept a patch in that direction) but I'm closing this as 'wontfix'.