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Debian CI errors on 32bits architectures
Hello,
I uploaded the 2022.7 version of cctbx into Debain, I got a bunch of error when running the test on different architectures. the latest continuous Integration test are here
/https://tracker.debian.org/pkg/cctbx
Now the problematic architectures are: armel, armhf, i386 all 32 bit architectures.
On these 32bit architectures I have this sort of output
libtbx.python "/usr/lib/python3/dist-packages/scitbx/dtmin/regression/tst_dtmin_twisted.py" [OK] 1.1s
Standard error:
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::shared_plain<unsigned int> already registered; second conversion method ignored.
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::shared<unsigned int> already registered; second conversion method ignored.
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::versa<unsigned int, scitbx::af::flex_grid<scitbx::af::small<long, 10u> > > already registered; second conversion method ignored.
and this sort of issue due to the smaller size of the int.
libtbx.python "/usr/lib/python3/dist-packages/fable/tst_ext.py" [FAIL] 0.5s
Time: 0.54
Return code: 1
OKs: 0
Standard error:
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/fable/tst_ext.py", line 471, in <module>
run(args=sys.argv[1:])
File "/usr/lib/python3/dist-packages/fable/tst_ext.py", line 462, in run
exercise_fem_utils_int_types()
File "/usr/lib/python3/dist-packages/fable/tst_ext.py", line 106, in exercise_fem_utils_int_types
raise RuntimeError(
RuntimeError: fem/utils/int_sizes.hpp needs to be adjusted for this platform.
and
libtbx.python "/usr/lib/python3/dist-packages/scitbx/array_family/boost_python/tst_flex.py" [FAIL] 4.4s
Time: 4.44
Return code: 1
OKs: 1
Standard error:
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::shared_plain<unsigned int> already registered; second conversion method ignored.
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::shared<unsigned int> already registered; second conversion method ignored.
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::versa<unsigned int, scitbx::af::flex_grid<scitbx::af::small<long, 10u> > > already registered; second conversion method ignored.
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/scitbx/array_family/boost_python/tst_flex.py", line 3818, in <module>
run(n)
File "/usr/lib/python3/dist-packages/scitbx/array_family/boost_python/tst_flex.py", line 3799, in run
pickle_large_arrays(max_exp=2, verbose=0)
File "/usr/lib/python3/dist-packages/scitbx/array_family/boost_python/tst_flex.py", line 3504, in pickle_large_arrays
a = array_type(n, val)
OverflowError: Python int too large to convert to C long
and
libtbx.python "/usr/lib/python3/dist-packages/cctbx/xray/boost_python/tst_xray.py" [FAIL] 1.0s
Standard error:
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::shared_plain<unsigned int> already registered; second conversion method ignored.
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::shared<unsigned int> already registered; second conversion method ignored.
<frozen importlib._bootstrap>:241: RuntimeWarning: to-Python converter for scitbx::af::versa<unsigned int, scitbx::af::flex_grid<scitbx::af::small<long, 10u> > > already registered; second conversion method ignored.
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/cctbx/xray/boost_python/tst_xray.py", line 2010, in <module>
run()
File "/usr/lib/python3/dist-packages/cctbx/xray/boost_python/tst_xray.py", line 2000, in run
exercise_sampled_model_density()
File "/usr/lib/python3/dist-packages/cctbx/xray/boost_python/tst_xray.py", line 1173, in exercise_sampled_model_density
assert gi.size() in expected_sizes
AssertionError
so my question is do you expect cctbx to be unusable on 32bit arch, in that case I can remove cctbx on all these architectures in the Debian world.
Cheers
Yes, we dropped 32-bit support a while ago so you should drop those architectures.
I'll see if I can start building the Debian packages this weekend.
Hello
Yes, we dropped 32-bit support a while ago so you should drop those architectures.
I will do it.
I'll see if I can start building the Debian packages this weekend.
for info, I had to unactivated a bunch of test
https://salsa.debian.org/science-team/cctbx/-/tree/master/debian/patches
look at 0006 and 0008
this is temporary until I figure out what is going on.
cheers
I'll make a PR and we can work though any issues once I get a build going. I'll try to build the same modules as for the cctbx-base
conda package.