Bug#983328: pandas: sparse test_from_coo fails with scipy 1.6.1

[Drew Parsons]

On 2021-02-23 12:39, Drew Parsons wrote:
> On 2021-02-22 18:50, Rebecca N. Palmer wrote:
>> On 22/02/2021 12:44, Drew Parsons wrote:
>>> v1.2.2 is the latest pandas release
>>> Has this error in test_from_coo been fixed in that latest release?
>> 
>> Not obviously, but I haven't tried actually running that.
>> 
>> Is scipy 1.6.1 intended for bullseye?
> 
> In principle it would be nice to get the scipy update into bullseye.
> I uploaded it to experimental first to check if anything breaks.  CI
> testing from experimental is reported at
> https://release.debian.org/britney/pseudo-excuses-experimental.html .
> numba is also affected (on arm64), and qutip on amd64.
...
> Arguably it's too disruptive in the middle of soft freeze to upgrade
> pandas from 1.1.5 to 1.2.2 in unstable/bullseye. We could upload
> pandas 1.2.2 to experimental though.


Mind you, the qutip error looks quite serious:
>               self.data = np.array(obj, copy=copy, dtype=data_dtype)
E               TypeError: can't convert complex to float

Unless someone can spot straight away what the problem there is, I think 
it's likely we won't have it fixed before we want to release bullseye.

Which is to say, given these test errors in pandas and qutip (and 
numba), I think I can make the judgement that we will not push scipy 
1.6.1 into unstable/bullseye. In which case it's not urgent  to fix 
pandas or check if the 1.2.2 release still gives the same error.