NumPy 1.11.0b3 released.
Hi All, I'm pleased to announce the release of NumPy 1.11.0b3. This beta contains additional bug fixes as well as limiting the number of FutureWarnings raised by assignment to masked array slices. One issue that remains to be decided is whether or not to postpone raising an error for floats used as indexes. Sources may be found on Sourceforge <https://sourceforge.net/projects/numpy/files/NumPy/1.11.0b3/> and both sources and OS X wheels are availble on pypi. Please test, hopefully this will be that last beta needed. As a note on problems encountered, twine uploads continue to fail for me, but there are still variations to try. The wheeluploader downloaded wheels as it should, but could not upload them, giving the error message "HTTPError: 413 Client Error: Request Entity Too Large for url: https://www.python.org/pypi". Firefox also complains that http://wheels.scipy.org is incorrectly configured with an invalid certificate. Enjoy, Chuck
10.02.2016, 04:09, Charles R Harris kirjoitti:
On Wed, Feb 10, 2016 at 5:36 PM, Charles R Harris <charlesr.harris@gmail.com
wrote:
Thanks Pauli, me too is this intended?: return np.r_[[np.nan] * head, x, [np.nan] * tail] TypeError: 'numpy.float64' object cannot be interpreted as an index In the old times of Python 2.x, statsmodels avoided integers so we don't get accidental integer division. Python wanted float() everywhere. Looks like numpy wants int() everywhere. (fixed in statsmodels master) Josef
https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst On Fri, Feb 12, 2016 at 3:17 PM, Andreas Mueller <t3kcit@gmail.com> wrote:
On 02/12/2016 04:19 PM, Nathan Goldbaum wrote:
https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst
Thanks. That doesn't cover the backward incompatible change to assert_almost_equal and assert_array_almost_equal, right?
10.02.2016, 04:09, Charles R Harris kirjoitti:
On Wed, Feb 10, 2016 at 5:36 PM, Charles R Harris <charlesr.harris@gmail.com
wrote:
Thanks Pauli, me too is this intended?: return np.r_[[np.nan] * head, x, [np.nan] * tail] TypeError: 'numpy.float64' object cannot be interpreted as an index In the old times of Python 2.x, statsmodels avoided integers so we don't get accidental integer division. Python wanted float() everywhere. Looks like numpy wants int() everywhere. (fixed in statsmodels master) Josef
https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst On Fri, Feb 12, 2016 at 3:17 PM, Andreas Mueller <t3kcit@gmail.com> wrote:
On 02/12/2016 04:19 PM, Nathan Goldbaum wrote:
https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst
Thanks. That doesn't cover the backward incompatible change to assert_almost_equal and assert_array_almost_equal, right?
participants (5)
-
Andreas Mueller -
Charles R Harris -
josef.pktd＠gmail.com -
Nathan Goldbaum -
Pauli Virtanen