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Running AlignTraj on GRO/XTC causes Travis segfault #2818
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#2819 keeps passing despite the same code segmentation-faulting on the user guide (history of MDAnalysis/UserGuide#83 and notes in MDAnalysis/UserGuide#82), and @IAlibay's IAlibay/MDRestraintsGenerator#23. Between us we've iterated through the MDAnalysis version, gcc, OS, Python, dependency versions, and Travis image to fit this repo's. We also can't reproduce locally so we can't debug that way. Any @MDAnalysis/coredevs have any ideas why this is happening? @tylerjereddy maybe? Also of interest is that for the user guide it also segfaults on ReadTheDocs. |
Update here, I changed the Travis yml files to use astropy's CI helpers like we do here and magically everything started working... It is rather concerning that Travis will fail with a standard "get the latest miniconda, build an environment from this yml file, go". We probably should get to the bottom of what kind of magic astropy is doing... |
ABI incompatibilities, Fun! Astropi helpers installs everything from conda
forge. Not sure what the default does. I guess mix mini conda packages with
pip packages. Pip packages usually are build with a manylinux image. There
could be some subtle issue there.
…On Fri 3. Jul 2020 at 15:24, Irfan Alibay ***@***.***> wrote:
Update here, I changed the Travis yml files to use astropy's CI helpers
like we do here and magically everything started working... It is rather
concerning that Travis will fail with a standard "get the latest miniconda,
build an environment from this yml file, go".
We probably should get to the bottom of what kind of magic astropy is
doing...
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Good point. Possibly make sure that you do not use the default conda channel and only conda-forge when not using the helpers? Any of our cython code that use numpy arrays is probably very sensitive to what numpy was build against. |
Thank you @kain88-de! This version where everything looks like it's conda-forge is still failing, though (and previously the user guide was just calling $ conda list
# packages in environment at /home/travis/miniconda/envs/mda-user-guide:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_llvm conda-forge
alabaster 0.7.12 py_0 conda-forge
attrs 19.3.0 py_0 conda-forge
babel 2.8.0 py_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
biopython 1.77 py38h1e0a361_0 conda-forge
bleach 3.1.5 pyh9f0ad1d_0 conda-forge
brotlipy 0.7.0 py38h1e0a361_1000 conda-forge
bzip2 1.0.8 h516909a_2 conda-forge
ca-certificates 2020.6.20 hecda079_0 conda-forge
certifi 2020.6.20 py38h32f6830_0 conda-forge
cffi 1.14.0 py38hd463f26_0 conda-forge
cftime 1.1.3 py38h8790de6_0 conda-forge
chardet 3.0.4 py38h32f6830_1006 conda-forge
cryptography 2.9.2 py38h766eaa4_0 conda-forge
curl 7.71.1 he644dc0_0 conda-forge
cycler 0.10.0 py_2 conda-forge
cython 0.29.20 py38h950e882_0 conda-forge
decorator 4.4.2 py_0 conda-forge
defusedxml 0.6.0 py_0 conda-forge
docutils 0.16 py38h32f6830_1 conda-forge
entrypoints 0.3 py38h32f6830_1001 conda-forge
freetype 2.10.2 he06d7ca_0 conda-forge
griddataformats 0.5.0 py_0 conda-forge
gsd 2.1.2 py38h8790de6_0 conda-forge
hdf4 4.2.13 hf30be14_1003 conda-forge
hdf5 1.10.6 nompi_h3c11f04_100 conda-forge
hypothesis 5.19.0 py_0 conda-forge
icu 64.2 he1b5a44_1 conda-forge
idna 2.10 pyh9f0ad1d_0 conda-forge
imagesize 1.2.0 py_0 conda-forge
importlib-metadata 1.7.0 py38h32f6830_0 conda-forge
importlib_metadata 1.7.0 0 conda-forge
ipykernel 5.3.0 py38h23f93f0_0 conda-forge
ipython 7.16.1 py38h23f93f0_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.5.1 py_0 conda-forge
jedi 0.17.1 py38h32f6830_0 conda-forge
jinja2 2.11.2 pyh9f0ad1d_0 conda-forge
joblib 0.16.0 py_0 conda-forge
jpeg 9d h516909a_0 conda-forge
jsonschema 3.2.0 py38h32f6830_1 conda-forge
jupyter_client 6.1.5 py_0 conda-forge
jupyter_contrib_core 0.3.3 py_2 conda-forge
jupyter_contrib_nbextensions 0.5.1 py38_0 conda-forge
jupyter_core 4.6.3 py38h32f6830_1 conda-forge
jupyter_highlight_selected_word 0.2.0 py38_1000 conda-forge
jupyter_latex_envs 1.4.6 py38_1000 conda-forge
jupyter_nbextensions_configurator 0.4.1 py38_0 conda-forge
kiwisolver 1.2.0 py38hbf85e49_0 conda-forge
krb5 1.17.1 hfafb76e_1 conda-forge
latexcodec 2.0.1 pyh9f0ad1d_0 conda-forge
ld_impl_linux-64 2.34 h53a641e_5 conda-forge
libblas 3.8.0 17_openblas conda-forge
libcblas 3.8.0 17_openblas conda-forge
libcurl 7.71.1 hcdd3856_0 conda-forge
libedit 3.1.20191231 h46ee950_0 conda-forge
libffi 3.2.1 he1b5a44_1007 conda-forge
libgcc-ng 9.2.0 h24d8f2e_2 conda-forge
libgfortran-ng 7.5.0 hdf63c60_6 conda-forge
libiconv 1.15 h516909a_1006 conda-forge
liblapack 3.8.0 17_openblas conda-forge
libnetcdf 4.7.4 nompi_h84807e1_104 conda-forge
libopenblas 0.3.10 h5ec1e0e_0 conda-forge
libpng 1.6.37 hed695b0_1 conda-forge
libsodium 1.0.17 h516909a_0 conda-forge
libssh2 1.9.0 hab1572f_2 conda-forge
libstdcxx-ng 9.2.0 hdf63c60_2 conda-forge
libxml2 2.9.10 hee79883_0 conda-forge
libxslt 1.1.33 h31b3aaa_0 conda-forge
llvm-openmp 10.0.0 hc9558a2_0 conda-forge
lxml 4.5.1 py38hbb43d70_0 conda-forge
markupsafe 1.1.1 py38h1e0a361_1 conda-forge
matplotlib-base 3.2.2 py38h2af1d28_0 conda-forge
mdanalysis 1.0.0 py38h950e882_0 conda-forge
mdanalysistests 1.0.0 py38h32f6830_1 conda-forge
mistune 0.8.4 py38h1e0a361_1001 conda-forge
mmtf-python 1.1.2 py_0 conda-forge
mock 4.0.2 py38h32f6830_0 conda-forge
more-itertools 8.4.0 py_0 conda-forge
msgpack-python 1.0.0 py38hbf85e49_1 conda-forge
msmb-theme 1.2.0 pypi_0 pypi
nbconvert 5.6.1 py38h32f6830_1 conda-forge
nbformat 5.0.6 py_0 conda-forge
nbsphinx 0.7.1 pyh9f0ad1d_0 conda-forge
ncurses 6.1 hf484d3e_1002 conda-forge
netcdf4 1.5.3 nompi_py38hfd55d45_105 conda-forge
networkx 2.4 py_1 conda-forge
nglview 2.7.7 pyh5ca1d4c_1 conda-forge
notebook 6.0.3 py38h32f6830_0 conda-forge
numpy 1.18.5 py38h8854b6b_0 conda-forge
openssl 1.1.1g h516909a_0 conda-forge
oset 0.1.3 py_1 conda-forge
packaging 20.4 pyh9f0ad1d_0 conda-forge
pandas 1.0.5 py38hcb8c335_0 conda-forge
pandoc 2.10 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.7.0 pyh9f0ad1d_0 conda-forge
patsy 0.5.1 py_0 conda-forge
pexpect 4.8.0 py38h32f6830_1 conda-forge
pickleshare 0.7.5 py38h32f6830_1001 conda-forge
pip 20.1.1 py_1 conda-forge
plotly 4.8.2 pyh9f0ad1d_0 conda-forge
pluggy 0.13.1 py38h32f6830_2 conda-forge
prometheus_client 0.8.0 pyh9f0ad1d_0 conda-forge
prompt-toolkit 3.0.5 py_1 conda-forge
psutil 5.7.0 py38h1e0a361_1 conda-forge
ptyprocess 0.6.0 py_1001 conda-forge
py 1.9.0 pyh9f0ad1d_0 conda-forge
pybtex 0.22.2 py38h32f6830_1 conda-forge
pybtex-docutils 0.2.2 py38h32f6830_1 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pygments 2.6.1 py_0 conda-forge
pyopenssl 19.1.0 py_1 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyrsistent 0.16.0 py38h1e0a361_0 conda-forge
pysocks 1.7.1 py38h32f6830_1 conda-forge
pytest 5.4.3 py38h32f6830_0 conda-forge
python 3.8.3 cpython_he5300dc_0 conda-forge
python-dateutil 2.8.1 py_0 conda-forge
python_abi 3.8 1_cp38 conda-forge
pytz 2020.1 pyh9f0ad1d_0 conda-forge
pyyaml 5.3.1 py38h1e0a361_0 conda-forge
pyzmq 19.0.1 py38ha71036d_0 conda-forge
readline 8.0 hf8c457e_0 conda-forge
requests 2.24.0 pyh9f0ad1d_0 conda-forge
retrying 1.3.3 py_2 conda-forge
scikit-learn 0.23.1 py38h3a94b23_0 conda-forge
scipy 1.5.0 py38h18bccfc_0 conda-forge
seaborn 0.10.1 1 conda-forge
seaborn-base 0.10.1 py_1 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 48.0.0 py38h32f6830_0 conda-forge
six 1.15.0 pyh9f0ad1d_0 conda-forge
snowballstemmer 2.0.0 py_0 conda-forge
sortedcontainers 2.2.2 pyh9f0ad1d_0 conda-forge
sphinx 2.2.0 py_0 conda-forge
sphinx-sitemap 1.0.2 pypi_0 pypi
sphinx_rtd_theme 0.5.0 pyh9f0ad1d_0 conda-forge
sphinxcontrib-applehelp 1.0.2 py_0 conda-forge
sphinxcontrib-bibtex 1.0.0 py_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 1.0.3 py_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.4 py_0 conda-forge
sqlite 3.32.3 hcee41ef_0 conda-forge
statsmodels 0.11.1 py38h1e0a361_2 conda-forge
tabulate 0.8.7 pyh9f0ad1d_0 conda-forge
terminado 0.8.3 py38h32f6830_1 conda-forge
testpath 0.4.4 py_0 conda-forge
threadpoolctl 2.1.0 pyh5ca1d4c_0 conda-forge
tk 8.6.10 hed695b0_0 conda-forge
tornado 6.0.4 py38h1e0a361_1 conda-forge
tqdm 4.47.0 pyh9f0ad1d_0 conda-forge
traitlets 4.3.3 py38h32f6830_1 conda-forge
urllib3 1.25.9 py_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_0 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.34.2 py_1 conda-forge
widgetsnbextension 3.5.1 py38_0 conda-forge
xz 5.2.5 h516909a_0 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
zeromq 4.3.2 he1b5a44_2 conda-forge
zipp 3.1.0 py_0 conda-forge
zlib 1.2.11 h516909a_1006 conda-forge |
I've tried bumping up the python version to 3.8 on the astropy build and Travis still runs fine. Similarly locally running under 3.8 also is still fine. I'll let @lilyminium test out the environment build with 3.8 to see if the Travis failure with that keeps going. |
Just as a follow up here, we have some indication that numpy might be at least partly involved in this issue: MDAnalysis/UserGuide#95 Particularly numpy 1.19. Since we enforce the stable version of numpy in the main MDA CI (1.18.5), I'm just testing out what happens if we pass 1.19.0 instead in #2861 |
Random comment from @richardjgowers MDAnalysis/pytng#29 (comment) (my highlighting)
Is it possible that our Cython-based XDRReader does something somewhere where we are not careful with how we pass arrays around (and maybe something changed in that respect in numpy recently?) Sorry, grasping at straws here... P.S.: I cross-posted in MDAnalysis/UserGuide#95 (comment) because I couldn't find this issue at first. |
Irrelevant today... closing. |
Expected behavior
AlignTraj and Transform should not segfault when running Travis.
Actual behavior
Running AlignTraj / Transform on the MDA GRO/XTC testfiles causes Travis to fail on python 3.6-3.8 w/ Linux. Interestingly we cannot reproduce that behaviour locally. See: MDAnalysis/UserGuide#83 (transform), and https://travis-ci.com/github/bigginlab/MDRestraintsGenerator/jobs/357265043 (aligntraj)
Note: I'm not 100% convinced this isn't user error somehow (i.e. Travis setup related), so I'm going to open a test PR here to see if I can reproduce it.
Code to reproduce the behavior
Will work fine for the PSF/DCD pair, but fails on GRO/XTC.
Transform:
Aligntraj:
Current version of MDAnalysis
python -c "import MDAnalysis as mda; print(mda.__version__)"
) 1.0.0 and 0.20.1 testedpython -V
)? 3.6 - 3.8The text was updated successfully, but these errors were encountered: