On 4/14/16 1:26 PM, Matthew Brett wrote:
Hi,
On Thu, Apr 14, 2016 at 11:11 AM, Benjamin Root <ben.v.r...@gmail.com> wrote:
Are we going to have to have documentation somewhere making it clear that
the numpy wheel shouldn't be used in a conda environment? Not that I would
expect this issue to come up all that often, but I could imagine a scenario
where a non-scientist is simply using a base conda distribution because that
is what IT put on their system. Then they do "pip install ipython" that
indirectly brings in numpy (through the matplotlib dependency), and end up
with an incompatible numpy because they would have been linked against
different pythons?
Or is this not an issue?
I'm afraid I don't know conda at all, but I'm guessing that pip will
not install numpy when it is installed via conda.
Correct, pip will not (or at least should not, and did not in my tests)
install numpy over top of an existing conda installed numpy.
Unfortunately from my testing, conda will install a conda version of
numpy over top of a pip installed version. This may be the expected
behavior as conda maintains its own list of installed packages.
So the potential difference is that, pre-wheel, if numpy was not
installed in your conda environment, then pip would build numpy from
source, whereas now you'll get a binary install.
I _think_ that Python's binary API specification
(pip.pep425tags.get_abi_tag()) should prevent pip from installing an
incompatible wheel. Are there any conda experts out there who can
give more detail, or more convincing assurance?
I tested "pip install numpy" in conda environments (conda's equivalent
to virtualenvs) which did not have numpy installed previously for Python
2.7, 3.4 and 3.5 in a Ubuntu 14.04 Docker container. In all cases numpy
was installed from the whl file and appeared to be functional. Running
the numpy test suite found three failing tests for Python 2.7 and 3.5
and 21 errors in Python 3.4. The 2.7 and 3.5 failures do not look
concerning but the 3.4 errors are a bit strange.
Logs are in
https://gist.github.com/jjhelmus/a433a66d56fb0e39b8ebde248ad3fe36
Cheers,
- Jonathan Helmus
Cheers,
Matthew
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