All the PyArray_FLOAT*, ... to NPY_FLOAT*. PyObject *var; PyArrayObject * var_arr; var_arr->{dimensions,strides,nd,descr} to PyArray_{DIMS,...}(var_arr), need macro PyArray_ISCONTIGUOUS(var) to PyArray_ISCONTIGUOUS(var_arr) PyArray_{DATA,STRIDES,GETPTR2}(var) to PyArray_{DATA,STRIDES}(var_arr) The sed script didn't replace NPY_ALIGNED to NPY_ARRAY_ALIGNED. idem for NPY_WRITABLE, NPY_UPDATE_ALL, NPY_C_CONTIGUOUS, NPY_F_CONTIGUOUS, The sed script did change as well, but I think it should not be deprecated. This flag NPY_ARRAY_ENSURECOPY is a new one. It was not existing in numpy 1.6.0. We try to stay compitible with numpy 1.3 (maybe we will bump to numpy 1.4). This is the info on when this line was introduced: 263df0cc (Mark Wiebe 2011-07-19 17:06:08 -0500 784) #define NPY_ARRAY_ENSURECOPY 0x0020 In the trunk of Theano, I'll define NPY_ARRAY_ENSURECOPY for older version of numpy. PyArray_SetBaseObject On Tue, Sep 4, 2012 at 6:31 PM, Ondřej Čertík <ondrej.certik@gmail.com> wrote:
On Sat, Sep 1, 2012 at 2:19 AM, Sandro Tosi <morph@debian.org> wrote:
On Fri, Aug 31, 2012 at 8:07 PM, Sandro Tosi <morph@debian.org> wrote:
On Fri, Aug 31, 2012 at 7:17 PM, Ondřej Čertík <ondrej.certik@gmail.com> wrote:
If you could create issues at github: https://github.com/numpy/numpy/issues that would be great. If you have time, also with some info about the platform and how to reproduce it. Or at least a link to the build logs.
I've reported it here: https://github.com/numpy/numpy/issues/402
I've just spammed the issue tracker with additional issues, reporting all the test suite failures on Debian architectures; issues are 406 -> 414 .
Don't hesitate to contact me if you need any support or clarification.
Thanks Sandro for reporting it! I put all of them into my release issue:
https://github.com/numpy/numpy/issues/396
most of the failures seem to be caused by these two issues:
https://github.com/numpy/numpy/issues/394 https://github.com/numpy/numpy/issues/426
so I am looking into this now.
Ondrej _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion