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C++ 17 does not work on binder #413
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Actually, this is not Binder-related. I observe the same behaviour locally for a freshly created Conda environment (but also only for the C++17 kernel). Here is my package list:
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
argon2-cffi 20.1.0 py38h497a2fe_2 conda-forge
async_generator 1.10 py_0 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
binutils_impl_linux-64 2.35.1 h27ae35d_9
binutils_linux-64 2.35.1 h454624a_30
bleach 4.1.0 pyhd8ed1ab_0 conda-forge
ca-certificates 2021.5.30 ha878542_0 conda-forge
cffi 1.14.6 py38ha65f79e_0 conda-forge
clang_variant 1.0 cling_v0.8 conda-forge
clangdev 5.0.0 h43905f9_1012 conda-forge
cling 0.8 hf817b99_0 conda-forge
cppzmq 4.7.1 hf7cf922_2 conda-forge
debugpy 1.4.1 py38h709712a_0 conda-forge
decorator 5.0.9 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
gcc_impl_linux-64 9.3.0 h6df7d76_17
gcc_linux-64 9.3.0 h1ee779e_30
gxx_impl_linux-64 9.3.0 hbdd7822_17
gxx_linux-64 9.3.0 h7e70986_30
importlib-metadata 4.8.1 py38h578d9bd_0 conda-forge
ipykernel 6.3.1 py38he5a9106_0 conda-forge
ipython 7.27.0 py38he5a9106_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
jedi 0.18.0 py38h578d9bd_2 conda-forge
jinja2 3.0.1 pyhd8ed1ab_0 conda-forge
jsonschema 3.2.0 pyhd8ed1ab_3 conda-forge
jupyter_client 7.0.2 pyhd8ed1ab_0 conda-forge
jupyter_core 4.7.1 py38h578d9bd_0 conda-forge
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
kernel-headers_linux-64 2.6.32 he073ed8_14 conda-forge
ld_impl_linux-64 2.35.1 h7274673_9
libffi 3.3 h58526e2_2 conda-forge
libgcc-devel_linux-64 9.3.0 hb95220a_17
libgcc-ng 11.1.0 hc902ee8_8 conda-forge
libgomp 11.1.0 hc902ee8_8 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libstdcxx-devel_linux-64 9.3.0 hf0c5c8d_17
libstdcxx-ng 11.1.0 h56837e0_8 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
markupsafe 2.0.1 py38h497a2fe_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mistune 0.8.4 py38h497a2fe_1004 conda-forge
nbclient 0.5.4 pyhd8ed1ab_0 conda-forge
nbconvert 6.1.0 py38h578d9bd_0 conda-forge
nbformat 5.1.3 pyhd8ed1ab_0 conda-forge
ncurses 6.2 h58526e2_4 conda-forge
nest-asyncio 1.5.1 pyhd8ed1ab_0 conda-forge
nlohmann_json 3.9.1 h9c3ff4c_1 conda-forge
notebook 6.4.3 pyha770c72_0 conda-forge
openssl 1.1.1l h7f98852_0 conda-forge
packaging 21.0 pyhd8ed1ab_0 conda-forge
pandoc 2.14.2 h7f98852_0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.8.2 pyhd8ed1ab_0 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pip 21.2.4 pyhd8ed1ab_0 conda-forge
prometheus_client 0.11.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.20 pyha770c72_0 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pugixml 1.11.4 h9c3ff4c_0 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pygments 2.10.0 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyrsistent 0.17.3 py38h497a2fe_2 conda-forge
python 3.8.10 h49503c6_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pyzmq 22.2.1 py38h2035c66_0 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 58.0.3 py38h578d9bd_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlite 3.36.0 h9cd32fc_0 conda-forge
sysroot_linux-64 2.12 he073ed8_14 conda-forge
terminado 0.12.0 py38h578d9bd_0 conda-forge
testpath 0.5.0 pyhd8ed1ab_0 conda-forge
tk 8.6.11 h27826a3_1 conda-forge
tornado 6.1 py38h497a2fe_1 conda-forge
traitlets 5.1.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.37.0 pyhd8ed1ab_1 conda-forge
xeus 1.0.4 h7d0c39e_0 conda-forge
xeus-cling 0.12.1 h560cc44_0 conda-forge
xtl 0.7.2 h4bd325d_1 conda-forge
xz 5.2.5 h516909a_1 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zipp 3.5.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
|
I encountered the same problem, though with some variations. Whether the kernel crashes I can try to dig and record more detailed information; all this happened in lab sessions, so |
I am working on release a new stack based on cling 0.9 which may improve the situation. (Unfortunately, that involves providing new variants of llvm and clang on conda-forge, hence the delay). |
Facing same issue on a clean installation. |
In fact, this seems to be not limited to the C++ 17 kernel. I tried using notebooks I did years ago on Binder and none of the C++ kernels seems so start properly; I have then tried the Binder link provided here in the README here... and got exactly the same result. It might be related to the underlying hardware as @nthiery pointed out, but in this case I was really unlucky because I had the issue both with GESIS and OVH. |
For the record: I managed to get C++17 to work (but not C++11 or C++14) consistently Looking forward the new release! Thanks @SylvainCorlay |
Thanks @nthiery, you're right by forcing the gcc version it seems to work just fine. |
@nthiery How do I force the gcc version? |
@YarelisAcevedo In your environment.yml file. |
Thanks! @srpgilles |
I am trying to prepare a few examples on mybinder.org that use C++ 17 features. However, xeus-cling does not work for me when selecting the C++ 17 kernel on binder. Since everything works fine locally, I am not sure how to debug here.
As an example, go to the following link:
https://mybinder.org/v2/gh/flatsurf/e-antic/9cde33bfff8f24cee0c9c529ed3f8551d31eb815
With the preselected C++14 kernel everything works fine. However, changing the kernel to C++17 the interface is stuck at "Connecting to kernel":
Can I somehow debug why xeus-cling seems to be unhappy?
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