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| author | Charles Harris <charlesr.harris@gmail.com> | 2015-08-29 09:30:34 -0600 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2015-08-29 10:04:44 -0600 |
| commit | 529ee89447f03d007498cb2997eec9c93eae83fe (patch) | |
| tree | c911f149ec35ec72a89a039ea57308f9b1c1abf4 /doc/source/dev/development_environment.rst | |
| parent | aa86ff47eeae89e91e7b679e9e50b500b961c584 (diff) | |
| download | numpy-529ee89447f03d007498cb2997eec9c93eae83fe.tar.gz | |
MAINT: Remove references to Bento.
Bento builds are no longer supported, so remove references to that
built system.
Diffstat (limited to 'doc/source/dev/development_environment.rst')
| -rw-r--r-- | doc/source/dev/development_environment.rst | 15 |
1 files changed, 3 insertions, 12 deletions
diff --git a/doc/source/dev/development_environment.rst b/doc/source/dev/development_environment.rst index 6221353ce..b09728e03 100644 --- a/doc/source/dev/development_environment.rst +++ b/doc/source/dev/development_environment.rst @@ -82,19 +82,12 @@ source tree is to use:: $ python setup.py install --prefix /some/owned/folder $ export PYTHONPATH=/some/owned/folder/lib/python3.4/site-packages -Besides ``numpy.distutils``, NumPy supports building with `Bento`_. -This provides (among other things) faster builds and a build log that's much -more readable than the ``distutils`` one. Note that support is still fairly -experimental, partly due to Bento relying on `Waf`_ which tends to have -non-backwards-compatible API changes. Working versions of Bento and Waf are -run on TravisCI, see ``tools/travis-test.sh``. - Using virtualenvs ----------------- A frequently asked question is "How do I set up a development version of NumPy -in parallel to a released version that I use to do my job/research?". +in parallel to a released version that I use to do my job/research?". One simple way to achieve this is to install the released version in site-packages, by using a binary installer or pip for example, and set @@ -190,15 +183,13 @@ For example to see where in the Python code you are, use ``py-list``. For more details, see `DebuggingWithGdb`_. Instead of plain ``gdb`` you can of course use your favourite -alternative debugger; run it on the python binary with arguments +alternative debugger; run it on the python binary with arguments ``runtests.py -g --python mytest.py``. Building NumPy with a Python built with debug support (on Linux distributions -typically packaged as ``python-dbg``) is highly recommended. - +typically packaged as ``python-dbg``) is highly recommended. -.. _Bento: http://cournape.github.io/Bento/ .. _DebuggingWithGdb: https://wiki.python.org/moin/DebuggingWithGdb |