On further thought, both of those probably should be fixed in numexpr -
I have pushed them to fix1049326.
With those changes to numexpr, the new pandas (1.5.3+dfsg-5) should
build; pytables will still also need its upstream fix.
stringToExpression() in this numexpr patch needs a default of True for
sanitize (like the others already have), because pytables calls that
directly:
https://salsa.debian.org/science-team/pandas/-/jobs/4571451/raw
(The other failure in there is one I plan to fix.)
The two pytables tests with
Given that this is a security feature and we hence want it in quickly,
I'd consider that patch enough to xfail/disable the remaining issues in
pandas, but discussions with upstream are ongoing.
(It also won't do anything about the pytables breakage, known upstream
as #1044.)
Dear Rebecca,
Il 16/08/23 23:36, Rebecca N. Palmer ha scritto:
I pushed this fix to Salsa as the 'fix1049326' branch - it isn't enough to fix pandas by itself, but is plausibly an
improvement.
Do you need a new upload with the proposed patch or should we wait for a
complete solution of the
I pushed this fix to Salsa as the 'fix1049326' branch - it isn't enough
to fix pandas by itself, but is plausibly an improvement.
Numexpr upstream have what they think is a fix for the exception issue
(though not the overflow change), but it hasn't been tested yet:
https://github.com/pydata/numexpr/issues/442
Processing control commands:
> forwarded -1 https://github.com/pandas-dev/pandas/issues/54546
Bug #1049326 [python3-numexpr] pandas FTBFS with numexpr 2.8.5
Changed Bug forwarded-to-address to
'https://github.com/pandas-dev/pandas/issues/54546' from
Control: forwarded -1 https://github.com/pandas-dev/pandas/issues/54546
Control: affects -1 python3-pandas
There's actually *two* bugs here: an exception in eval/query,
https://github.com/pandas-dev/pandas/issues/54449, and a changed result
with integer overflow,
Package: python3-numexpr
Version: 2.8.5-1
Severity: serious
Control: forwarded -1 https://github.com/pandas-dev/pandas/issues/54449
(actually they found it first)
I only have actual logs for 2.0.x, but I suspect 1.5.x is also affected.
As a short term fix, it may be possible to disable pandas'
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