pypy with numpy

Looks like pypy now can build numpy. Well, a slightly modified numpy.

1. Get default branch of pypy. be careful cause the developers don't maintain default branch compilable. Revision 84341 (c86b42dd7613) works for me.
2. compile using 
./rpython/bin/rpython -O2 ./pypy/goal/targetpypystandalone.py --withoutmod-micronumpy
3. Create package and vitual environment. Something like this:
./pypy/tool/release/package.py --targetdir ./my_builds/build.tar.bz2 --builddir ./tmp/ --nostrip --archive-name pypy_84341
Needed to copy pypy-c and libpypy to pypy/goal beforehand.
4. Clone and follow instructions from
https://github.com/pypy/numpy/commits/cpyext-ext
Revision 3299d0d76fdb831fbcb4429a89c1f53bb36ea07f worked for me

Testing results:
----------------------------------------------------------------------
Ran 5900 tests in 78.216s

FAILED (KNOWNFAIL=3, SKIP=6, errors=218, failures=83)

scipy can be compiled if disabling submodules io/matlab and spatial. Though is still doesn't work.

Loading numpy array from string

Okay children, today we learn how to convert text to numpy matrix.
Source is here.

# loading modules
import numpy
from StringIO import StringIO

# Using StringIO as a file-like wrapper over text
I0 = numpy.loadtxt(StringIO("""
         0         0         0         0         0
         0         0    0.5000         0         0
         0         0    1.0000         0         0
         0         0    0.5000         0         0
         0    1.0000         0         0         0
         0    0.5000         0         0         0
         0    0.5000    1.0000         0         0
         0         0         0         0         0""") )


I1 = numpy.loadtxt(StringIO("""
         0         0         0         0         0
         0    0.5000         0         0         0
         0    1.0000         0         0         0
         0    0.5000         0         0         0
         0         0    1.0000         0         0
         0         0    0.5000         0         0
         0         0    0.5000    1.0000         0
         0         0         0         0         0 """) )