Your message dated Wed, 01 Feb 2023 21:23:10 +0000
with message-id <e1pnkzs-009e2v...@fasolo.debian.org>
and subject line Bug#1030233: fixed in python-hypothesis 6.65.2-1
has caused the Debian Bug report #1030233,
regarding python-hypothesis: autopkgtest regression in testing
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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--
1030233: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1030233
Debian Bug Tracking System
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--- Begin Message ---
Source: python-hypothesis
Version: 6.64.0-1
Severity: serious
User: debian...@lists.debian.org
Usertags: regression
Hi Maintainer
Recently, the autopkgtests of python-hypothesis regressed in testing
[1]. I've copied what I hope is the relevant part of the log below.
Regards
Graham
[1] https://ci.debian.net/packages/p/python-hypothesis/testing/amd64/
=================================== FAILURES ===================================
_______________ test_overflowing_integers_are_deprecated[False] ________________
fill = False
> ???
tests/numpy/test_gen_data.py:347:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/common/utils.py:102: in inverted_test
f(*arguments, **kwargs)
tests/numpy/test_gen_data.py:347: in test_overflowing_integers_are_deprecated
???
tests/numpy/test_gen_data.py:354: in test_overflowing_integers_are_deprecated
arr = data.draw(nps.arrays(dtype="int8", shape=(1,), **kw))
/usr/lib/python3/dist-packages/hypothesis/strategies/_internal/core.py:1836:
in draw
result = self.conjecture_data.draw(strategy)
/usr/lib/python3/dist-packages/hypothesis/internal/conjecture/data.py:946:
in draw
return strategy.do_draw(self)
/usr/lib/python3/dist-packages/hypothesis/strategies/_internal/lazy.py:156:
in do_draw
return data.draw(self.wrapped_strategy)
/usr/lib/python3/dist-packages/hypothesis/internal/conjecture/data.py:941:
in draw
return strategy.do_draw(self)
/usr/lib/python3/dist-packages/hypothesis/extra/numpy.py:324: in do_draw
self.set_element(data.draw(self.fill), one_element, 0, fill=True)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <hypothesis.extra.numpy.ArrayStrategy object at 0x7f3c03eefdc0>
val = 300, result = array([44], dtype=int8), idx = 0
def set_element(self, val, result, idx, *, fill=False):
try:
result[idx] = val
except TypeError as err:
raise InvalidArgument(
f"Could not add element={val!r} of {val.dtype!r} to array of "
f"{result.dtype!r} - possible mismatch of time units in dtypes?"
) from err
try:
elem_changed = self._check_elements and val != result[idx]
and val == val
except Exception as err: # pragma: no cover
# This branch only exists to help debug weird behaviour in Numpy,
# such as the string problems we had a while back.
raise HypothesisException(
"Internal error when checking element=%r of %r to array of %r"
% (val, val.dtype, result.dtype)
) from err
if elem_changed:
strategy = self.fill if fill else self.element_strategy
if self.dtype.kind == "f": # pragma: no cover
# This logic doesn't trigger in our coverage tests
under Numpy 1.24+,
# with built-in checks for overflow, but we keep it
for good error
# messages and compatibility with older versions of Numpy.
try:
is_subnormal = 0 < abs(val) < np.finfo(self.dtype).tiny
except Exception:
# val may be a non-float that does not support the
# operations __lt__ and __abs__
is_subnormal = False
if is_subnormal:
raise InvalidArgument(
f"Generated subnormal float {val} from strategy "
f"{strategy} resulted in {result[idx]!r}, probably "
"as a result of NumPy being built with flush-to-zero "
"compiler options. Consider passing "
"allow_subnormal=False."
)
> raise InvalidArgument(
"Generated array element %r from %r cannot be represented as "
"dtype %r - instead it becomes %r (type %r). Consider
using a more "
"precise strategy, for example passing the `width` argument to "
"`floats()`."
% (val, strategy, self.dtype, result[idx], type(result[idx]))
)
E hypothesis.errors.InvalidArgument: Generated array element
300 from just(300) cannot be represented as dtype dtype('int8') -
instead it becomes 44 (type <class 'numpy.int8'>). Consider using a
more precise strategy, for example passing the `width` argument to
`floats()`.
E Falsifying example: test_overflowing_integers_are_deprecated(
E data=data(...),
E fill=False,
E )
/usr/lib/python3/dist-packages/hypothesis/extra/numpy.py:229: InvalidArgument
________________ test_overflowing_integers_are_deprecated[True] ________________
fill = True
> ???
tests/numpy/test_gen_data.py:347:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/common/utils.py:102: in inverted_test
f(*arguments, **kwargs)
tests/numpy/test_gen_data.py:347: in test_overflowing_integers_are_deprecated
???
tests/numpy/test_gen_data.py:354: in test_overflowing_integers_are_deprecated
arr = data.draw(nps.arrays(dtype="int8", shape=(1,), **kw))
/usr/lib/python3/dist-packages/hypothesis/strategies/_internal/core.py:1836:
in draw
result = self.conjecture_data.draw(strategy)
/usr/lib/python3/dist-packages/hypothesis/internal/conjecture/data.py:946:
in draw
return strategy.do_draw(self)
/usr/lib/python3/dist-packages/hypothesis/strategies/_internal/lazy.py:156:
in do_draw
return data.draw(self.wrapped_strategy)
/usr/lib/python3/dist-packages/hypothesis/internal/conjecture/data.py:941:
in draw
return strategy.do_draw(self)
/usr/lib/python3/dist-packages/hypothesis/extra/numpy.py:324: in do_draw
self.set_element(data.draw(self.fill), one_element, 0, fill=True)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <hypothesis.extra.numpy.ArrayStrategy object at 0x7f3c083d0d30>
val = 300, result = array([44], dtype=int8), idx = 0
def set_element(self, val, result, idx, *, fill=False):
try:
result[idx] = val
except TypeError as err:
raise InvalidArgument(
f"Could not add element={val!r} of {val.dtype!r} to array of "
f"{result.dtype!r} - possible mismatch of time units in dtypes?"
) from err
try:
elem_changed = self._check_elements and val != result[idx]
and val == val
except Exception as err: # pragma: no cover
# This branch only exists to help debug weird behaviour in Numpy,
# such as the string problems we had a while back.
raise HypothesisException(
"Internal error when checking element=%r of %r to array of %r"
% (val, val.dtype, result.dtype)
) from err
if elem_changed:
strategy = self.fill if fill else self.element_strategy
if self.dtype.kind == "f": # pragma: no cover
# This logic doesn't trigger in our coverage tests
under Numpy 1.24+,
# with built-in checks for overflow, but we keep it
for good error
# messages and compatibility with older versions of Numpy.
try:
is_subnormal = 0 < abs(val) < np.finfo(self.dtype).tiny
except Exception:
# val may be a non-float that does not support the
# operations __lt__ and __abs__
is_subnormal = False
if is_subnormal:
raise InvalidArgument(
f"Generated subnormal float {val} from strategy "
f"{strategy} resulted in {result[idx]!r}, probably "
"as a result of NumPy being built with flush-to-zero "
"compiler options. Consider passing "
"allow_subnormal=False."
)
> raise InvalidArgument(
"Generated array element %r from %r cannot be represented as "
"dtype %r - instead it becomes %r (type %r). Consider
using a more "
"precise strategy, for example passing the `width` argument to "
"`floats()`."
% (val, strategy, self.dtype, result[idx], type(result[idx]))
)
E hypothesis.errors.InvalidArgument: Generated array element
300 from just(300) cannot be represented as dtype dtype('int8') -
instead it becomes 44 (type <class 'numpy.int8'>). Consider using a
more precise strategy, for example passing the `width` argument to
`floats()`.
E Falsifying example: test_overflowing_integers_are_deprecated(
E data=data(...),
E fill=True,
E )
/usr/lib/python3/dist-packages/hypothesis/extra/numpy.py:229: InvalidArgument
--- End Message ---
--- Begin Message ---
Source: python-hypothesis
Source-Version: 6.65.2-1
Done: Timo Röhling <roehl...@debian.org>
We believe that the bug you reported is fixed in the latest version of
python-hypothesis, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to 1030...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Timo Röhling <roehl...@debian.org> (supplier of updated python-hypothesis
package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Wed, 01 Feb 2023 21:17:16 +0100
Source: python-hypothesis
Architecture: source
Version: 6.65.2-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Python Team <team+pyt...@tracker.debian.org>
Changed-By: Timo Röhling <roehl...@debian.org>
Closes: 1030233
Changes:
python-hypothesis (6.65.2-1) unstable; urgency=medium
.
* Team upload.
* New upstream version 6.65.2
* Fix failing numpy test (Closes: #1030233)
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