From: sanvila@debian.org
Package: src:python-cattrs
Version: 25.2.0-1
Severity: serious
Tags: ftbfs forky sid
Dear maintainer:
During a rebuild of all packages in unstable, this package failed to build.
Below you will find the last part of the build log (probably the most
relevant part, but not necessarily). If required, the full build log
is available here:
https://people.debian.org/~sanvila/build-logs/202510/
About the archive rebuild: The build was made on virtual machines from AWS,
using sbuild and a reduced chroot with only build-essential packages.
If you cannot reproduce the bug please contact me privately, as I
am willing to provide ssh access to a virtual machine where the bug is
fully reproducible.
If this is really a bug in one of the build-depends, please use
reassign and add an affects on src:python-cattrs, so that this is still
visible in the BTS web page for this package.
Thanks.
----------------------------------------------------------------
---------------
[...]
debian/rules clean
dh clean --with python3 --buildsystem=pybuild
dh_auto_clean -O--buildsystem=pybuild
dh_autoreconf_clean -O--buildsystem=pybuild
dh_clean -O--buildsystem=pybuild
debian/rules binary
dh binary --with python3 --buildsystem=pybuild
dh_update_autotools_config -O--buildsystem=pybuild
dh_autoreconf -O--buildsystem=pybuild
dh_auto_configure -O--buildsystem=pybuild
dh_auto_build -O--buildsystem=pybuild
I: pybuild plugin_pyproject:129: Building wheel for python3.13 with "build"
module
I: pybuild base:311: python3.13 -m build --skip-dependency-check
--no-isolation --wheel --outdir /<>/.pybuild/cpython3_3.
13_cattr
* Building wheel...
Successfully built cattrs-25.2.0-py3-none-any.whl
[... snipped ...]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
combined_attrs = [(_CountingAttr(counter=28522, _default=None,
repr=True, eq=True, order=True, hash=None, init=True, on_setattr=None, a...
e),
repr=True, eq=True, order=True, hash=None, init=True, on_setattr=None,
alias=None, metadata={}), just(
HypClass()))]
default = Factory(factory=,
takes_self=False)
nested_cl =
tup = ([(_CountingAttr(counter=28522, _default=None,
repr=True,
eq=True, order=True, hash=None, init=True, on_setattr=None, alias=None,
metadata={}), none())], (, (), {}))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _
attrs_and_strategy = [(_CountingAttr(counter=28522, _default=None,
repr=True,
eq=True, order=True, hash=None, init=True, on_setattr=None, a...e),
repr=True,
eq=True, order=True, hash=None, init=True, on_setattr=None, alias=None,
metadata={}), just(
HypClass()))]
frozen = None
def _create_hyp_class(
attrs_and_strategy: list[tuple[_CountingAttr, st.SearchS
rategy[PosArgs]]],
frozen=None,
) -> SearchStrategy[AttrsAndArgs]:
"""
A helper function for Hypothesis to generate attrs classes.
The result is a tuple: an attrs class, a tuple of values to
instantiate it, and a kwargs dict for kw-only attributes.
"""
def key(t):
return (t[0].default is not NOTHING, t[0].kw_only)
> attrs_and_strat = sorted(attrs_and_strategy, key=key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E TypeError: '<' not supported between instances of 'NoneType' and
'bool'
E while generating 'cl_and_vals' from one_of(recursive [to
-long-redacted] eate_dataclass, frozen=False)))
attrs_and_strategy = [(_CountingAttr(counter=28522, _default=None,
repr=True,
eq=True, order=True, hash=None, init=True, on_setattr=None, a...e),
repr=True,
eq=True, order=True, hash=None, init=True, on_setattr=None, alias=None,
metadata={}), just(
HypClass()))]
frozen = None
key = .key at 0x7fa766633b00>
tests/untyped.py:182: TypeError
____________________ test_unmodified_generated_structuring _____
_______________
@given(
> cl_and_vals=nested_typed_classes(allow_nan=False)
^^^
| simple_typed_classes(allow_nan=False)
| simple_typed_dataclasses(allow_nan=False),
dv=...,
)
f = .run_test_as_given..
wrapped_test
at 0x7fa768512c00>
tests/test_gen_dict.py:169:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _
tests/typed.py:954: in nested_typed_classes
cl, strat, kwarg_strat = draw(
allow_nan = False
defaults = 'sometimes'
draw =
kw_only = 'sometimes'
min_attrs = 0
newtypes = True
/usr/lib/python3/dist-packages/hypothesis/internal/conjecture/data.py:1212:
in
draw
return unwrapped.do_draw(self)
^^^^^^^^^^^^^^^^^^^^^^^
at_top_level = False
label = 18174192762908001753
observability_enabled =
observe_as = None
self = ConjectureData(VALID, 8 choices, frozen)
start_time = None
strategy = recursive(lists(one_of(any_typed_attrs(), i
t_typed_attrs(), str_typed_attrs(), float_typed_attrs(allow_nan=False),
fr...al(
_create_hyp_nested_strategy,
kw_only='sometimes',
newtypes=True,
allow_nan=False,
), max_leaves=20)
to_jsonable =
unwrap_strategies =
unwrapped = recursive(lists(one_of(any_typed_attrs(), i
t_typed_attrs(), str_typed_attrs(), float_typed_attrs(allow_nan=False),
fr...al(
_create_hyp_nested_strategy,
kw_only='sometimes',
newtypes=True,
allow_nan=False,
), max_leaves=20)
/usr/lib/python3/dist-packages/hypothesis/strategies/_internal/r
cursive.py:113: in do_draw
return data.draw(self.strategy)
^^^^^^^^^^^^^^^^^^^^^^^^
count = 0
data = ConjectureData(VALID, 8 choices, frozen)
[continued in next message]
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