Package: python-numpy Version: 1:1.12.0-2 Severity: serious hi, A new bug release is available for numpy. It is almost exclusively regression fixes in 1.12.0 and should be included in stretch. In case you want to go with backports I have marked the issues I consider important.
* `#8483 <https://github.com/numpy/numpy/pull/8483>`__: BUG: Fix wrong future nat warning and equiv type logic error... important (already in debian package) * `#8489 <https://github.com/numpy/numpy/pull/8489>`__: BUG: Fix wrong masked median for some special cases * `#8490 <https://github.com/numpy/numpy/pull/8490>`__: DOC: Place np.average in inline code * `#8491 <https://github.com/numpy/numpy/pull/8491>`__: TST: Work around isfinite inconsistency on i386 important * `#8494 <https://github.com/numpy/numpy/pull/8494>`__: BUG: Guard against replacing constants without '_' spec in f2py. * `#8524 <https://github.com/numpy/numpy/pull/8524>`__: BUG: Fix mean for float 16 non-array inputs for 1.12 * `#8571 <https://github.com/numpy/numpy/pull/8571>`__: BUG: Fix calling python api with error set and minor leaks for... important * `#8602 <https://github.com/numpy/numpy/pull/8602>`__: BUG: Make iscomplexobj compatible with custom dtypes again * `#8618 <https://github.com/numpy/numpy/pull/8618>`__: BUG: Fix undefined behaviour induced by bad __array_wrap__ important * `#8648 <https://github.com/numpy/numpy/pull/8648>`__: BUG: Fix MaskedArray.__setitem__ * `#8659 <https://github.com/numpy/numpy/pull/8659>`__: BUG: PPC64el machines are POWER for Fortran in f2py * `#8665 <https://github.com/numpy/numpy/pull/8665>`__: BUG: Look up methods on MaskedArray in `_frommethod` * `#8674 <https://github.com/numpy/numpy/pull/8674>`__: BUG: Remove extra digit in binary_repr at limit important * `#8704 <https://github.com/numpy/numpy/pull/8704>`__: BUG: Fix deepcopy regression for empty arrays. important * `#8707 <https://github.com/numpy/numpy/pull/8707>`__: BUG: Fix ma.median for empty ndarrays cheers, Julian
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