reading netcdf broken in 0.11

[Julian Taylor]

in 0.11 reading netcdf files results in integer data in big endian format interpreted as native endian, this was fixed in 0.12:
https://github.com/scipy/scipy/pull/471

TESTCASE:
run:

from scipy.io import netcdf
import numpy as np

nc = netcdf.netcdf_file('foo.nc', 'w')
nc.createDimension('time', 10)
time = nc.createVariable('time', 'i', ('time',))
time[:] = np.arange(10)
time.units = 'days since 2008-01-01'
nc.close()

nc = netcdf.netcdf_file('foo.nc', 'r')
print nc.variables['time'].data

result
[ 0 16777216 33554432 50331648 67108864 83886080 100663296
 117440512 134217728 150994944]

expected result:
[0 1 2 3 4 5 6 7 8 9]

Regression potential:
low, the netcdf spec says the data must big endian and the patch only fixes this issue.

[Rolf Leggewie (r0lf)]

raring has seen the end of its life and is no longer receiving any updates. Marking the raring task for this ticket as "Won't Fix".