Hello Ralf, On Sun, Dec 21, 2014 at 9:17 PM, Ralf Gommers <[email protected]> wrote:
> Hi Maniteja, > > On Sun, Dec 21, 2014 at 4:04 PM, Maniteja Nanda > You don't need a virtualenv. If you want to only run the tests and make > sure your changes pass the test suite, the easiest option is ``python > runtests.py`` in your numpy repo root dir. You can also run tests for a > particular module that way - see the docstring of runtests.py for more > details. > > Thank you for the help. I couldn't find a way out in many discussion threads. I saw the testing guide in the development workflow. As I understood 'tests/test_xxx.py' is used to test the 'xxx' function. If you want to use your modified numpy to for example import in IPython and > play with it, I would use an in-place build. So ``python setup.py build_ext > -i``, and then you can make python find that in-place build by adding the > repo to your PYTHONPATH or by running ``python setup.py develop``. If you > then make changes to Python code they're immediately visible, if you change > compiled code you have to rebuild in-place again. > Cheers, > Ralf > > As you told me , I have built a in-place copy of numpy and added it to the Python path. maniteja@ubuntu:~/FOSS/numpy$ echo $PYTHONPATH /home/maniteja/FOSS/numpy/numpy Correct me please if I am wrong. I don't think this is causing the desired change, since a simple print statement in *count* function in *ma* is not printing anything when creating an masked array object. In addition to this, I had a doubt in which branch should I do the modifications, master or testing branch in numpy. I used the testing branch to create the build because that the master branch keeps getting updated regularly. Would this be fine or should I use the master branch to create the build? Thanks in advance. Regards, Maniteja. ______________________________ _________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
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