Just a data point, I just tested 1.9.0rc1 (built from source) with matplotlib master, and things appear to be fine there. In fact, matplotlib was built against 1.7.x (I was hunting down a regression), and worked against the 1.9.0 install, so the ABI appears intact.

Cheers! Ben Root

On Wed, Aug 26, 2015 at 9:52 AM, Charles R Harris <charlesr.harris@gmail.com

wrote:

On Wed, Aug 26, 2015 at 7:32 AM, Charles R Harris < charlesr.harris@gmail.com> wrote:

On Wed, Aug 26, 2015 at 7:31 AM, Charles R Harris < charlesr.harris@gmail.com> wrote:

On Wed, Aug 26, 2015 at 7:11 AM, Antoine Pitrou solipsis@pitrou.net wrote:

On Tue, 25 Aug 2015 10:26:02 -0600 Charles R Harris charlesr.harris@gmail.com wrote:

Hi All,

The silence after the 1.10 beta has been eerie. Consequently, I'm

thinking

of making a first release candidate this weekend. If you haven't yet

tested

the beta, please do so. It would be good to discover as many problems

as we

can before the first release.

Has typing of ufunc parameters become much stricter? I can't find anything in the release notes, but see (1.10b1):

> arr = np.linspace(0, 5, 10) > out = np.empty_like(arr, dtype=np.intp) > np.round(arr, out=out)

Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/antoine/np110/lib/python3.4/site-packages/numpy/core/fromnumeric.py", line 2778, in round_ return round(decimals, out) TypeError: ufunc 'rint' output (typecode 'd') could not be coerced to provided output parameter (typecode 'l') according to the casting rule ''same_kind''

It used to work (1.9):

> arr = np.linspace(0, 5, 10) > out = np.empty_like(arr, dtype=np.intp) > np.round(arr, out=out)

array([0, 1, 1, 2, 2, 3, 3, 4, 4, 5])

> out

array([0, 1, 1, 2, 2, 3, 3, 4, 4, 5])

The default casting mode has been changed. I think this has been raising a warning since 1.7 and was mentioned as a future change in 1.10, but you are right, it needs to be mentioned in the 1.10 release notes.

Make that warned of in the 1.9.0 release notes.

Here it is in 1.9.0 with deprecation warning made visible.

`In [3]: import warnings In [4]: warnings.simplefilter('always') In [5]: arr = np.linspace(0, 5, 10) In [6]: out = np.empty_like(arr, dtype=np.intp) In [7]: np.round(arr, out=out) /home/charris/.local/lib/python2.7/site-packages/numpy/core/fromnumeric.py:2640: DeprecationWarning: Implicitly casting between incompatible kinds. In a future numpy release, this will raise an error. Use casting="unsafe" if this is intentional. return round(decimals, out) Out[7]: array([0, 1, 1, 2, 2, 3, 3, 4, 4, 5])`

Chuck

NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion