Bug === In [8]: N.info(N.ones(3)) class: ndarray shape: (3,) strides: (8,) itemsize: 8 aligned: True contiguous: True fortran: True --------------------------------------------------------------------------- TypeError Traceback (most recent call last)
/home/fperez/research/code/mwadap-stable/mwadap/test/<ipython console> in <module>() /home/fperez/usr/opt/lib/python2.5/site-packages/numpy/lib/utils.py in info(object, maxwidth, output, toplevel) 298 elif isinstance(object, ndarray): 299 import numpy.numarray as nn --> 300 nn.info(object, output=output, numpy=1) 301 elif isinstance(object, str): 302 if _namedict is None: /home/fperez/usr/opt/lib/python2.5/site-packages/numpy/numarray/functions.py in info(obj, output, numpy) 377 extra = "" 378 tic = "" --> 379 print >> output, "data pointer: %s%s" % (hex(obj.ctypes._as_parameter_), extra) 380 print >> output, "byteorder: ", 381 endian = obj.dtype.byteorder TypeError: hex() argument can't be converted to hex In [9]: debug > /home/fperez/usr/opt/lib/python2.5/site-packages/numpy/numarray/functions.py(379)info() 378 tic = "" --> 379 print >> output, "data pointer: %s%s" % (hex(obj.ctypes._as_parameter_), extra) 380 print >> output, "byteorder: ", Fix === planck[numpy]> svn diff Index: numpy/numarray/functions.py =================================================================== --- numpy/numarray/functions.py (revision 3874) +++ numpy/numarray/functions.py (working copy) @@ -376,7 +376,7 @@ else: extra = "" tic = "" - print >> output, "data pointer: %s%s" % (hex(obj.ctypes._as_parameter_), extra) + print >> output, "data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra) print >> output, "byteorder: ", endian = obj.dtype.byteorder if endian in ['|','=']: Question ======== any objection if I commit this? Since I don't really touch the codebase often, I'd rather ask the real core people. I also don't know if it's really the right thing to do, I just tabbed into the object and picked what seemed to be the most reasonable answer. It's trivial, but I'd rather double check. Cheers, f _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion