#14243: Try not to pick up user versions of things like numpy, mpl
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       Reporter:  kcrisman                       |        Owner:
           Type:  defect                         |  GeorgSWeber
       Priority:  critical                       |       Status:  closed
      Component:  build                          |    Milestone:  sage-6.4
       Keywords:                                 |   Resolution:  fixed
        Authors:  John Palmieri                  |    Merged in:
Report Upstream:  N/A                            |    Reviewers:  Buck Evan
         Branch:                                 |  Work issues:
  e35ebe9bb554e4f00bcd0c4eabe91cb196997a1a       |       Commit:
   Dependencies:                                 |     Stopgaps:
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Comment (by was):

 Replying to [comment:15 vbraun]:
 > There are two different use cases:
 > * A private build of Sage (everything user-writable) should not conflict
 with another private numpy installation. You can use pip just fine without
 the `--user` option. Then `PYTHONNOUSERSITE=yes` is the way to achieve
 that.
 > * A system-wide build of Sage (nothing user-writable, so just `pip
 install foo` cannot work) should work with `pip --user`. This is the SMC
 problem.
 > Really this is a special case of distinguishing a build-from-source and
 a binary install. Sage traditionally pretends that there is no difference,
 but there is.

 Agreed.  I think the terminology "build-from-source" and "binary install"
 is a little misleading though, since *I* did build the SMC install from
 source myself.    Maybe "system-wide" versus "personal install" would be a
 better distinction.

 Any thoughts about how to technically distinguish between these two types
 of setups?  A flag to ./configure on first build?  Something else?

 > BTW its now really easy to use pip for optional packages

 Awesome -- a very good step in the right direction!

--
Ticket URL: <http://trac.sagemath.org/ticket/14243#comment:17>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
and MATLAB

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