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Problem with numpy on FreeBSD with gcc-4.4 and gcc-4.6 installed.

Python 2.7.3 (default, Aug 17 2012, 09:37:35) 
[GCC 4.2.2 20070831 prerelease [FreeBSD]] on freebsd8
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/site-packages/numpy/_init_.py", line 137, in <module>
    import add_newdocs
  File "/usr/local/lib/python2.7/site-packages/numpy/add_newdocs.py", line 9, in <module>
    from numpy.lib import add_newdoc
  File "/usr/local/lib/python2.7/site-packages/numpy/lib/_init_.py", line 13, in <module>
    from polynomial import *
  File "/usr/local/lib/python2.7/site-packages/numpy/lib/polynomial.py", line 17, in <module>
    from numpy.linalg import eigvals, lstsq
  File "/usr/local/lib/python2.7/site-packages/numpy/linalg/_init_.py", line 48, in <module>
    from linalg import *
  File "/usr/local/lib/python2.7/site-packages/numpy/linalg/linalg.py", line 23, in <module>
    from numpy.linalg import lapack_lite
ImportError: /usr/local/lib/gcc44/libgfortran.so.3: version GFORTRAN_1.4 required by /usr/local/lib/liblapack.so.4 not found
>>>
# ldconfig -r | grep lgfortran
        946:-lgfortran.3 => /usr/local/lib/gcc44/libgfortran.so.3
        956:-lgfortran.3 => /usr/local/lib/gcc46/libgfortran.so.3
# pkg_info -W /usr/local/lib/gcc44/libgfortran.so.3
/usr/local/lib/gcc44/libgfortran.so.3 was installed by package gcc-4.4.7,1
# pkg_info -W /usr/local/lib/gcc46/libgfortran.so.3
/usr/local/lib/gcc46/libgfortran.so.3 was installed by package gcc-4.6.4.20120608
# pkg_delete -f gcc-4.4.7,1
pkg_delete: package 'gcc-4.4.7,1' is required by these other packages
and may not be deinstalled (but I'll delete it anyway):
audacity-2.0.0_2
ffmpeg-0.7.12_2,1
kdelibs-4.8.4
okular-4.8.4
picard-1.0
strigi-0.7.7_3
x264-0.123.2189_2
# python
Python 2.7.3 (default, Aug 17 2012, 09:37:35) 
[GCC 4.2.2 20070831 prerelease [FreeBSD]] on freebsd8
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> 
1