Ned Deily wrote:
> The easiest way is to use the install_requires keyword in setup.py. See
> the setuptools documentation here:
>
> <http://peak.telecommunity.com/DevCenter/setuptools>
That appears to handle dependencies:
install_requires
A string or list of strings specifying what other distributions need to
be installed when this one is. See the section below on Declaring
Dependencies for details and examples of the format of this argument.
Which looks quite dangerous, as a matter of fact. For example, I do
easy_install foo
foo has install_requires("numpy==1.0.3")
now setuptools will download and install numpy1.0.3, but it won't get
used, 'cause there is an older numpy earlier on the pythonpath.
Anyway, I won't looking for dependency management, I was looking for
runtime version management: i.e have numpy1.0.2 and numpy1.0.3 both
installed, and specify in a given script which one I want to use. If
there's a way to do that, then when you develop and test, you specify
which numpy to use, if you, or another user has multiple versions
installed, the correct one is use. wxPython handles this with a custom
system:
import wxversion
wxversion.select('2.4')
or, if you've tested against more than one version:
wxversion.select(['2.5.4', '2.5.5', '2.6'])
I think PyGtk has a similar system
If this was a universal python package feature, and people used it, a
lot of these problems would go away.
oh well, I got little support for this a few years ago, I doubt it will
change now. I think virtualenv may be the answer -- and maybe it's a
better one anyway -- I'll have to give it a shot.
-Chris
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