On 10/14/06, Phillip J. Eby <pje@telecommunity.com> wrote:
At 11:10 AM 10/14/2006 -0400, Jay Parlar wrote:
I've tried asking this on the numpy list (a few times), but unfortunately no response. Since the error *appears* to be inside distutils, I thought maybe someone here would recognize it.
Nope, it's a numpy.distutils error; notice that the bottom of the traceback is all from numpy code. Distutils also has no "config" command, so that bit's coming from numpy.distutils also.
Yeah, the exception is generated in numpy code, but the reason the exception is being raised is because of the 'if not result' check. The 'result' variable gets its value assigned by the config_cmd.try_run() method, which comes from distutils. The relevant numpy code that creates the 'config_cmd' object is: def get_cmd(cmdname, _cache={}): if not _cache.has_key(cmdname): import distutils.core dist = distutils.core._setup_distribution if dist is None: from distutils.errors import DistutilsInternalError raise DistutilsInternalError( 'setup distribution instance not initialized') cmd = dist.get_command_obj(cmdname) _cache[cmdname] = cmd return _cache[cmdname] Could it be that the Python 2.5 universal binary is compiled with a different version of gcc? Would that cause an error? My gcc is 3.3, but if the 2.5 binary was built on OS X Tiger, then the gcc was probably 4.0. Would distutils look at that when trying to build code? Jay P.