Your message dated Sat, 10 Dec 2022 17:01:36 +0100
with message-id <05d7f585-3de4-f15c-53ef-500edbddd...@debian.org>
and subject line apparently fixed Re: dask autopkgtest fail with python 3.11
has caused the Debian Bug report #1024906,
regarding dask: (autopkgtest) needs update for python3.11: Attribute "dtype"
are different
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
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1024906: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1024906
Debian Bug Tracking System
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--- Begin Message ---
Source: dask
Version: 2022.02.0+dfsg-2
Severity: serious
Tags: sid bookworm
User: debian...@lists.debian.org
Usertags: needs-update
User: debian-pyt...@lists.debian.org
Usertags: python3.11
Control: affects -1 src:python3-defaults
Dear maintainer(s),
We are in the transition of adding python3.11 as a supported Python
version [0]. With a recent upload of python3-defaults the autopkgtest of
dask fails on armhf and i386 in testing when that autopkgtest is run
with the binary packages of python3-defaults from unstable. It passes
when run with only packages from testing. In tabular form:
pass fail
python3-defaults from testing 3.10.6-3
dask from testing 2022.02.0+dfsg-2
all others from testing from testing
I copied some of the output at the bottom of this report.
Currently this regression is blocking the migration of python3-defaults
to testing [1]. https://docs.python.org/3/whatsnew/3.11.html lists
what's new in Python3.11, it may help to identify what needs to be updated.
More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation
Paul
[0] https://bugs.debian.org/1021984
[1] https://qa.debian.org/excuses.php?package=python3-defaults
https://ci.debian.net/data/autopkgtest/testing/armhf/d/dask/28718535/log.gz
=================================== FAILURES
===================================
_____________________________ test_query_with_meta
_____________________________
db = 'sqlite:////tmp/tmpyge_bwo2.'
def test_query_with_meta(db):
from sqlalchemy import sql
data = {
"name": pd.Series([], name="name", dtype="str"),
"age": pd.Series([], name="age", dtype="int"),
}
index = pd.Index([], name="number", dtype="int")
meta = pd.DataFrame(data, index=index)
s1 = sql.select(
[sql.column("number"), sql.column("name"), sql.column("age")]
).select_from(sql.table("test"))
out = read_sql_query(s1, db, npartitions=2, index_col="number",
meta=meta)
# Don't check dtype for windows
https://github.com/dask/dask/issues/8620
assert_eq(out, df[["name", "age"]], check_dtype=sys.int_info.sizeof_digit
!= 2)
/usr/lib/python3/dist-packages/dask/dataframe/io/tests/test_sql.py:443:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
a = name age
number 0 Alice 33
1 Bob 40
2 Chris 22
3 Dora 16
4 Edith 53
5 Francis 30
6 Garreth 20
b = name age
number 0 Alice 33
1 Bob 40
2 Chris 22
3 Dora 16
4 Edith 53
5 Francis 30
6 Garreth 20
check_names = True, check_dtype = True, check_divisions = True
check_index = True, scheduler = 'sync', kwargs = {}
def assert_eq(
a,
b,
check_names=True,
check_dtype=True,
check_divisions=True,
check_index=True,
scheduler="sync",
**kwargs,
):
if check_divisions:
assert_divisions(a, scheduler=scheduler)
assert_divisions(b, scheduler=scheduler)
if hasattr(a, "divisions") and hasattr(b, "divisions"):
at = type(np.asarray(a.divisions).tolist()[0]) # numpy
to python
bt = type(np.asarray(b.divisions).tolist()[0]) #
scalar conversion
assert at == bt, (at, bt)
assert_sane_keynames(a)
assert_sane_keynames(b)
a = _check_dask(
a, check_names=check_names, check_dtypes=check_dtype,
scheduler=scheduler
)
b = _check_dask(
b, check_names=check_names, check_dtypes=check_dtype,
scheduler=scheduler
)
if hasattr(a, "to_pandas"):
a = a.to_pandas()
if hasattr(b, "to_pandas"):
b = b.to_pandas()
if isinstance(a, (pd.DataFrame, pd.Series)):
a = _maybe_sort(a, check_index)
b = _maybe_sort(b, check_index)
if not check_index:
a = a.reset_index(drop=True)
b = b.reset_index(drop=True)
if isinstance(a, pd.DataFrame):
tm.assert_frame_equal(
a, b, check_names=check_names, check_dtype=check_dtype,
**kwargs
E AssertionError: Attributes of DataFrame.iloc[:, 1]
(column name="age") are different
E E Attribute "dtype" are different
E [left]: int32
E [right]: int64
/usr/lib/python3/dist-packages/dask/dataframe/utils.py:562: AssertionError
OpenPGP_signature
Description: OpenPGP digital signature
--- End Message ---
--- Begin Message ---
On Sat, 3 Dec 2022 21:38:14 +0000 "Rebecca N. Palmer" <rebecca_pal...@zoho.com>
wrote:
This combination stopped failing on 2022-11-22/23 (without a dask
upload, suggesting it was fixed somewhere other than dask itself).
Hence, I suggest closing this bug.
Doing so. I also cannot reproduce.
--- End Message ---
