installation guide for osx? about sms-tools HOT 8 CLOSED

I'd weigh in that installing into a virtualenv should be the standard way of installation. Much cleaner on the system. (I also installed to a vitualenv on archlinux, no issues).

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@seansay : could you give a little more details on how you did it on OSX? I'm stuck after cloning the repo, because the compilation of the C functions stops with the following error message:

'''
gcc -bundle -undefined dynamic_lookup -L/Users/kappamaki/anaconda/envs/py27-opencv/lib -arch x86_64 -arch x86_64 build/temp.macosx-10.5-x86_64-2.7/utilFunctions.o build/temp.macosx-10.5-x86_64-2.7/cutilFunctions.o -L/Users/kappamaki/anaconda/envs/py27-opencv/lib -lm -o /Users/kappamaki/workspace/coursera-aspma/sms-tools/software/models/utilFunctions_C/utilFunctions_C.so
ld: library not found for -lgcc_s.10.5
clang: error: linker command failed with exit code 1 (use -v to see invocation)
error: command 'gcc' failed with exit status 1
'''

Thanks a bunch for your help!

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Hello,

I agree with @Lykathia, virtualenv is the way to go.

@flothesof, here's what I did on Mac OS:

• Install virtualenv:
  sudo pip install virtualenv
• Go to the folder where you have sms-tools and create an environment by typing:
  virtualenv venv
• To activate the environment (which you'll have to do when you work on sms-tools) do:
  . venv/bin/activate
• With the environment active install all the stuff you need
  pip install ipython numpy matplotlib scipy cython
• And normally you should have no errors (only several warnings) when compiling the C functions
  cd software/models/utilFunctions_C
python compileModule.py build_ext --inplace

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Hey!

Thanks for your reply.
Actually, even though I'm not doing a virtualenv, I'm doing something
similar: using conda to create a python 2.7 installation from which I tried
to compile the cython functions.

The part I don't get is where the errors come from. What libraries is the
compiler missing? It's just not clear to me.

Thanks for posting your code. I'll try to make it work like this.

Regards

Florian
Le 26 sept. 2015 21:50, "Alejandro Mantecon Guillen" <
[email protected]> a écrit :

Hello,

I agree with @Lykathia https://github.com/Lykathia, virtualenv is the
way to go.

Here's what I did on Mac OS:

Install virtualenv:
sudo pip install virtualenv

Go to the folder where you have sms-tools and create an environment by
typing:
virtualenv venv

To activate the environment (which you'll have to do when you work on
sms-tools) do:
. venv/bin/activate

With the environment active install all the stuff you need
pip install ipython numpy matplotlib scipy cython

And normally you should have no errors (only several warnings) when
compiling the C functions
cd software/models/utilFunctions_C
python compileModule.py build_ext --inplace

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I finally managed to do it using Anaconda. It's very similar to the virtualenv way of doing it.

I wrote the procedure up here:

http://flothesof.github.io/sms-tools-MacOSX-Anaconda.html

Best,

Florian

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Nice guide, Forian!

I'm happy to announce a quite simple installation process thanks to packaging sms-tools so that it can be installed via pip.

https://class.coursera.org/audio-002/forum/thread?thread_id=865#comment-1630

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Nice work Florian!

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closing this one.

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