On Wed, 27 Feb 2019, Andreas Tille wrote:
> Dear Rebecca,
> On Wed, Feb 27, 2019 at 07:25:26AM +, Rebecca N. Palmer wrote:
> > On 27/02/2019 07:00, Andreas Tille wrote:
> > > Dear Rebecca,
> > > I do not think that there is any
> > > need for a separate branch. Just stick to the debian bra
Dear Rebecca,
On Wed, Feb 27, 2019 at 07:25:26AM +, Rebecca N. Palmer wrote:
> On 27/02/2019 07:00, Andreas Tille wrote:
> > Dear Rebecca,
> > I do not think that there is any
> > need for a separate branch. Just stick to the debian branch.
>
> It's needed because the debian branch contains
This builds (including build-time tests; haven't tried the autopkgtest).
Description: Fix np.array @ DataFrame matrix multiplication
Author: jbrockmendel
Origin: upstream
https://github.com/pandas-dev/pandas/commit/ad2a14f4bec8a004b2972c12f12ed3e4ce37ff52
Bug-Debian: https://bugs.debian.org/91
Given the soft freeze, the new upstream version is probably no longer an
option for buster.
Just setting __array_priority__ fails, but with a message that suggests
also including the test_analytics part of that upstream commit would
work; I haven't yet had time to try this.
left = o
Control: tags -1 fixed-upstream patch
The test failure is that np.array @ pd.DataFrame (matrix product) tries
to keep both the DataFrame's indices, which fails because the new matrix
is a different shape.
This appears to be fixed in 0.24.1 from PyPI, but as previously noted,
this is a new ma
Processing control commands:
> severity -1 serious
Bug #918206 [src:pandas] pandas: autopkgtest fails with python-numpy
(1:1.16.0~rc1-3)
Severity set to 'serious' from 'normal'
> tags -1 + ftbfs
Bug #918206 [src:pandas] pandas: autopkgtest fails with python-numpy
(1:1.16.0~rc1-3)
Added tag(s) ft
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