import/reload now works.
accomplished by adding 5 lines in parse_source_module (import.c) to 1st
check for the hook __builtins__.parse_source_module_py3k.
the hook will automatically compile in py3k format if it finds the magic
comment: "# import as py3k\n"

* below is a working python 3.0 script integrated w/ numpy.

also added:
  pep3102  Keyword-Only Arguments
  pep3112  Bytes literals in Python 3000

download: http://www-rcf.usc.edu/~kaizhu/work/py3to2/current/

patched files:
  ceval.c (unchanged from last)
  bltinmodule.c (unchanged from last)
  import.c (added 5 continuous lines to parse_source_module)

there r 7 unimplemented pep's remaining: any suggested solutions?
  pep3107  Function Annotations (easy, just haven't gotten around yet)
  pep3109/3110  Exceptions in Python 3000 (hard?)
  pep3120  Using UTF-8 as the default source encoding
  pep3123  Making PyObject_HEAD conform to C (hard/who cares for 2.x?)
  pep3131  Supporting Non-ASCII Identifiers (looks emulable)
  pep3138  String representation in Python 3000

@ any rate, i think its feature complete enough to b useful in certain
areas (for me its scientific computing).

################################################################################
"""
numpy_py3k.py
this is a py3to2 demo showing a python3.0 script being run under python
2.5 &
utilizing numpy, a python2.5 extension module.

add the magic comment '# import as py3k\n' to import / reload a script
in py3k format

interactive usage:
>>> import py3to2
>>> import numpy_py3k
>>> reload(numpy_py3k)

commandline usage: python -c 'import py3to2; import numpy_py3k'
"""

# import as py3k
import numpy

print('pep3102  Keyword-Only Arguments')
# nth order polynomial fit of multiple y data
def polyfits(nth, x, *ys, rcond = None, full = False):
  return [numpy.polyfit(x, y, nth, rcond, full) for y in ys]

fits = polyfits(2, # 2nd order fit
                numpy.arange(16), # x data
                numpy.random.rand(16), numpy.random.rand(16), # multiple
y data
                rcond = numpy.MachAr().eps, # precision
                full = False, # return only coeffs
                )
print('fits', fits); print('#'*64)

print('pep3112  Bytes literals in Python 3000')
x = bytes( numpy.arange(256, dtype = numpy.int8).tostring() )
print('bytes', x); print('#'*64)

print('pep3114  Renaming iterator.next() to .__next__()')
x = (x for x in numpy.arange(16))
print('x.__next__()', x.__next__(), x.__next__(), x.__next__());
print('#'*64)

print('pep3132  Extended Iterable Unpacking')
a,b,*c = numpy.random.rand(4)
print('a = %s, b = %s, c = %s'%(a,b,c)); print('#'*64)
################################################################################