Re: [Numpy-discussion] Floor divison on int returns float

Whatever the C rules are (which I don't know off the top of my head, but I guess it must be one of uint64 or int64). It's not as if conversion to float64 was lossless: In [38]: 2**63 - (np.int64(2**62-1) + np.uint64(2**62-1)) Out[38]: 0.0 Note that the result of (np.int64(2**62-1) +

Re: [Numpy-discussion] Floor divison on int returns float

So what type should uint64 + int64 return? On Apr 12, 2016 7:17 PM, "Antony Lee" wrote: > This kind of issue (see also https://github.com/numpy/numpy/issues/3511) > has become more annoying now that indexing requires integers (indexing with > a float raises a

Re: [Numpy-discussion] Floor divison on int returns float

This kind of issue (see also https://github.com/numpy/numpy/issues/3511) has become more annoying now that indexing requires integers (indexing with a float raises a VisibleDeprecationWarning). The argument "dividing an uint by an int may give a result that does not fit in an uint nor in an int"

Re: [Numpy-discussion] linux wheels coming soon

Hi, On Sat, Apr 2, 2016 at 6:11 PM, Matthew Brett wrote: > On Fri, Mar 25, 2016 at 6:39 AM, Peter Cock wrote: >> On Fri, Mar 25, 2016 at 3:02 AM, Robert T. McGibbon >> wrote: >>> I suspect that many of the maintainers of

Re: [Numpy-discussion] Using OpenBLAS for manylinux wheels

On Wed, Apr 6, 2016 at 6:47 AM, Olivier Grisel wrote: > I updated the issue: > > https://github.com/xianyi/OpenBLAS-CI/issues/10#issuecomment-206195714 > > The random test_nanmedian_all_axis failure is unrelated to openblas > and should be ignored. It looks like all is

Re: [Numpy-discussion] Floor divison on int returns float

Thanks Eric. Also relevant: https://github.com/numba/numba/issues/909 Looks like Numba has found a way to avoid this edge case. On Monday, April 4, 2016, Eric Firing wrote: > On 2016/04/04 9:23 AM, T J wrote: > >> I'm on NumPy 1.10.4 (mkl). >> >> >>> np.uint(3) // 2 #

[Numpy-discussion] NumpyDistribution has no object attribute include_package_deta

Hi, I'm compiling Numpy 1.11.0 from source with python3.3, gcc-5.3.0, with LAPACK_SRC and BLAS_SRC set. During the creating numpy.egg-info, an error occur with NumpyDistribution, it complains about it has not the attribute include_package_data. Where shall I start look? Kind regards Patrik