cogreg
April 28, 2023, 2:40pm
1
To help you compose your answer:Geo-Python ”.The question
How do I get past this and get jupyter lab to run?
Thank you.
It appears that someone else is experiencing this very recently as per report on: conda - JupyterLab Packaging (jlpm) Segmentation Fault - Stack Overflow and they are also using MacBook. Did you install jupyter from conda-forge, or in a different way? If so would you be happy to provide a full conda list?jupyter lab --debug and list all output prior to the crash (if any)?
1 Like
cogreg
April 30, 2023, 9:04am
3
Thank you for responding.
Segmentation fault: 11
(base) MacBook-Pro-2:~ Cogreg$
The conda list follows.
alabaster 0.7.12 pyhd3eb1b0_0
Same issue here, since today, also with Mac OSX Mojave (10.14.6).conda update jupyterlab and I updated the macport packages.
Here are the packages I share with cogreg, with same version and build (all from conda-forge)
boltons 23.0.0 pyhd8ed1ab_0
ca-certificates 2022.12.7 h033912b_0
certifi 2022.12.7 pyhd8ed1ab_0
jsonpatch 1.32 pyhd8ed1ab_0
jsonpointer 2.0 py_0
Here are the packages shared with cogreg with same version (not necessarily the same build)
argon2-cffi 21.3.0 pyhd8ed1ab_0
argon2-cffi-bindings 21.2.0 py39ha30fb19_3
backcall 0.2.0 pyh9f0ad1d_0
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0
boltons 23.0.0 pyhd8ed1ab_0
brotlipy 0.7.0 py39ha30fb19_1005
bzip2 1.0.8 h0d85af4_4
c-ares 1.18.1 h0d85af4_0
ca-certificates 2022.12.7 h033912b_0
certifi 2022.12.7 pyhd8ed1ab_0
cffi 1.15.1 py39h131948b_3
colorama 0.4.6 pyhd8ed1ab_0
conda 23.3.1 py39h6e9494a_0
conda-package-handling 2.0.2 pyh38be061_0
conda-package-streaming 0.7.0 pyhd8ed1ab_1
decorator 5.1.1 pyhd8ed1ab_0
defusedxml 0.7.1 pyhd8ed1ab_0
entrypoints 0.4 pyhd8ed1ab_0
et_xmlfile 1.1.0 pyhd8ed1ab_0
freetype 2.12.1 h3f81eb7_1
idna 3.4 pyhd8ed1ab_0
imagesize 1.4.1 pyhd8ed1ab_0
ipython_genutils 0.2.0 py_1
jinja2 3.1.2 pyhd8ed1ab_1
jsonpatch 1.32 pyhd8ed1ab_0
jsonpointer 2.0 py_0
jsonschema 4.17.3 pyhd8ed1ab_0
libarchive 3.6.2 h6d8d9f1_0
libev 4.33 haf1e3a3_1
libffi 3.4.2 h0d85af4_5
libgfortran 5.0.0 11_3_0_h97931a8_31
libopenblas 0.3.21 openmp_h429af6e_3
libpng 1.6.39 ha978bb4_0
libsodium 1.0.18 hbcb3906_1
libssh2 1.10.0 h47af595_3
libtiff 4.5.0 hedf67fa_6
libuv 1.44.2 hac89ed1_0
lz4-c 1.9.4 hf0c8a7f_0
lzo 2.10 haf1e3a3_1000
matplotlib-inline 0.1.6 pyhd8ed1ab_0
nest-asyncio 1.5.6 pyhd8ed1ab_0
pandas 1.5.3 py39hecff1ad_0
pandocfilters 1.5.0 pyhd8ed1ab_0
parso 0.8.3 pyhd8ed1ab_0
pexpect 4.8.0 pyh1a96a4e_2
pickleshare 0.7.5 py_1003
pluggy 1.0.0 pyhd8ed1ab_5
ptyprocess 0.7.0 pyhd3deb0d_0
pure_eval 0.2.2 pyhd8ed1ab_0
pycosat 0.6.4 py39ha30fb19_1
pycparser 2.21 pyhd8ed1ab_0
pyparsing 3.0.9 pyhd8ed1ab_0
pysocks 1.7.1 pyha2e5f31_6
python-dateutil 2.8.2 pyhd8ed1ab_0
python.app 3 py39hca72f7f_0
pyyaml 6.0 py39ha30fb19_5
readline 8.2 h9e318b2_1
ruamel.yaml 0.17.21 py39ha30fb19_3
six 1.16.0 pyh6c4a22f_0
snowballstemmer 2.2.0 pyhd8ed1ab_0
soupsieve 2.3.2.post1 pyhd8ed1ab_0
sphinxcontrib-devhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.3 py_0
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_2
terminado 0.17.1 pyhd1c38e8_0
tinycss2 1.2.1 pyhd8ed1ab_0
tk 8.6.12 h5dbffcc_0
tomli 2.0.1 pyhd8ed1ab_0
toolz 0.12.0 pyhd8ed1ab_0
webencodings 0.5.1 py_1
yaml 0.2.5 h0d85af4_2
zeromq 4.3.4 he49afe7_1
zlib 1.2.13 hfd90126_4
zstandard 0.19.0 py39h5bcbcff_1
zstd 1.5.2 hbc0c0cd_6
Here are the packages I share with cogreg (not necessarily the same version):
alabaster 0.7.13 pyhd8ed1ab_0
anyio 3.6.2 pyhd8ed1ab_0
appnope 0.1.3 pyhd8ed1ab_0
argon2-cffi 21.3.0 pyhd8ed1ab_0
argon2-cffi-bindings 21.2.0 py39ha30fb19_3
asttokens 2.2.1 pyhd8ed1ab_0
attrs 22.2.0 pyh71513ae_0
babel 2.12.1 pyhd8ed1ab_1
backcall 0.2.0 pyh9f0ad1d_0
backports 1.0 pyhd8ed1ab_3
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0
beautifulsoup4 4.12.2 pyha770c72_0
bleach 6.0.0 pyhd8ed1ab_0
boltons 23.0.0 pyhd8ed1ab_0
brotlipy 0.7.0 py39ha30fb19_1005
bzip2 1.0.8 h0d85af4_4
c-ares 1.18.1 h0d85af4_0
ca-certificates 2022.12.7 h033912b_0
certifi 2022.12.7 pyhd8ed1ab_0
cffi 1.15.1 py39h131948b_3
charset-normalizer 3.1.0 pyhd8ed1ab_0
colorama 0.4.6 pyhd8ed1ab_0
comm 0.1.3 pyhd8ed1ab_0
conda 23.3.1 py39h6e9494a_0
conda-package-handling 2.0.2 pyh38be061_0
conda-package-streaming 0.7.0 pyhd8ed1ab_1
cryptography 40.0.2 py39hbeae22c_0
debugpy 1.6.7 py39h7a8716b_0
decorator 5.1.1 pyhd8ed1ab_0
defusedxml 0.7.1 pyhd8ed1ab_0
docutils 0.17.1 py39h6e9494a_2
entrypoints 0.4 pyhd8ed1ab_0
et_xmlfile 1.1.0 pyhd8ed1ab_0
executing 1.2.0 pyhd8ed1ab_0
flit-core 3.8.0 pyhd8ed1ab_0
freetype 2.12.1 h3f81eb7_1
icu 70.1 h96cf925_0
idna 3.4 pyhd8ed1ab_0
imagesize 1.4.1 pyhd8ed1ab_0
importlib-metadata 6.6.0 pyha770c72_0
importlib_metadata 6.6.0 hd8ed1ab_0
ipykernel 6.22.0 pyh736e0ef_0
ipython 8.13.1 pyhd1c38e8_0
ipython_genutils 0.2.0 py_1
ipywidgets 8.0.2 pyhd8ed1ab_1
jedi 0.18.2 pyhd8ed1ab_0
jinja2 3.1.2 pyhd8ed1ab_1
json5 0.9.5 pyh9f0ad1d_0
jsonpatch 1.32 pyhd8ed1ab_0
jsonpointer 2.0 py_0
jsonschema 4.17.3 pyhd8ed1ab_0
jupyter_client 8.2.0 pyhd8ed1ab_0
jupyter_core 5.3.0 py39h6e9494a_0
jupyter_server 2.5.0 pyhd8ed1ab_0
jupyterlab 3.6.3 pyhd8ed1ab_0
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0
jupyterlab_server 2.22.1 pyhd8ed1ab_0
jupyterlab_widgets 3.0.3 pyhd8ed1ab_0
krb5 1.20.1 h049b76e_0
lcms2 2.15 h2dcdeff_1
lerc 4.0.0 hb486fe8_0
libarchive 3.6.2 h6d8d9f1_0
libcurl 7.88.1 h6df9250_1
libcxx 16.0.2 hd57cbcb_0
libdeflate 1.18 hac1461d_0
libedit 3.1.20191231 h0678c8f_2
libev 4.33 haf1e3a3_1
libffi 3.4.2 h0d85af4_5
libgfortran 5.0.0 11_3_0_h97931a8_31
libgfortran5 12.2.0 he409387_31
libiconv 1.17 hac89ed1_0
libnghttp2 1.52.0 he2ab024_0
libopenblas 0.3.21 openmp_h429af6e_3
libpng 1.6.39 ha978bb4_0
libsodium 1.0.18 hbcb3906_1
libssh2 1.10.0 h47af595_3
libtiff 4.5.0 hedf67fa_6
libuv 1.44.2 hac89ed1_0
libwebp-base 1.3.0 hb7f2c08_0
libxml2 2.10.3 h201ad9d_4
llvm-openmp 16.0.2 hff08bdf_0
lz4-c 1.9.4 hf0c8a7f_0
lzo 2.10 haf1e3a3_1000
markupsafe 2.1.2 py39ha30fb19_0
matplotlib-inline 0.1.6 pyhd8ed1ab_0
mistune 2.0.5 pyhd8ed1ab_0
nbclassic 0.5.6 pyhb4ecaf3_1
nbclient 0.7.4 pyhd8ed1ab_0
nbconvert 7.3.1 pyhd8ed1ab_0
nbformat 5.8.0 pyhd8ed1ab_0
ncurses 6.3 h96cf925_1
nest-asyncio 1.5.6 pyhd8ed1ab_0
notebook 6.5.4 pyha770c72_0
notebook-shim 0.2.3 pyhd8ed1ab_0
numpy 1.24.3 py39h892e69a_0
openjpeg 2.5.0 h13ac156_2
openpyxl 3.0.9 pyhd3eb1b0_0
openssl 3.1.0 h8a1eda9_2
packaging 23.1 pyhd8ed1ab_0
pandas 1.5.3 py39hecff1ad_0
pandocfilters 1.5.0 pyhd8ed1ab_0
parso 0.8.3 pyhd8ed1ab_0
pexpect 4.8.0 pyh1a96a4e_2
pickleshare 0.7.5 py_1003
pillow 9.5.0 py39h77c96bc_0
pip 23.1.2 pyhd8ed1ab_0
platformdirs 3.5.0 pyhd8ed1ab_0
pluggy 1.0.0 pyhd8ed1ab_5
prometheus_client 0.16.0 pyhd8ed1ab_0
prompt-toolkit 3.0.38 pyha770c72_0
prompt_toolkit 3.0.38 hd8ed1ab_0
psutil 5.9.5 py39ha30fb19_0
ptyprocess 0.7.0 pyhd3deb0d_0
pure_eval 0.2.2 pyhd8ed1ab_0
pycosat 0.6.4 py39ha30fb19_1
pycparser 2.21 pyhd8ed1ab_0
pygments 2.15.1 pyhd8ed1ab_0
pyobjc-core 9.1.1 py39h0504f80_0
pyobjc-framework-cocoa 9.1.1 py39h0504f80_0
pyopenssl 23.1.1 pyhd8ed1ab_0
pyparsing 3.0.9 pyhd8ed1ab_0
pyrsistent 0.19.3 py39ha30fb19_0
pysocks 1.7.1 pyha2e5f31_6
python 3.9.12 h1cc4136_1_cpython
python-dateutil 2.8.2 pyhd8ed1ab_0
python-fastjsonschema 2.16.3 pyhd8ed1ab_0
python.app 3 py39hca72f7f_0
pytz 2023.3 pyhd8ed1ab_0
pyyaml 6.0 py39ha30fb19_5
pyzmq 25.0.2 py39hed8f129_0
readline 8.2 h9e318b2_1
requests 2.29.0 pyhd8ed1ab_0
ruamel.yaml 0.17.21 py39ha30fb19_3
ruamel.yaml.clib 0.2.7 py39ha30fb19_1
send2trash 1.8.2 pyhd1c38e8_0
setuptools 67.7.2 pyhd8ed1ab_0
six 1.16.0 pyh6c4a22f_0
sniffio 1.3.0 pyhd8ed1ab_0
snowballstemmer 2.2.0 pyhd8ed1ab_0
soupsieve 2.3.2.post1 pyhd8ed1ab_0
sphinx 4.4.0 pyhd3eb1b0_0
sphinxcontrib-applehelp 1.0.4 pyhd8ed1ab_0
sphinxcontrib-devhelp 1.0.2 py_0
sphinxcontrib-htmlhelp 2.0.1 pyhd8ed1ab_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.3 py_0
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_2
sqlite 3.40.0 h9ae0607_1
stack_data 0.6.2 pyhd8ed1ab_0
terminado 0.17.1 pyhd1c38e8_0
tinycss2 1.2.1 pyhd8ed1ab_0
tk 8.6.12 h5dbffcc_0
tomli 2.0.1 pyhd8ed1ab_0
toolz 0.12.0 pyhd8ed1ab_0
tornado 6.3 py39ha30fb19_0
tqdm 4.65.0 pyhd8ed1ab_1
traitlets 5.9.0 pyhd8ed1ab_0
typing-extensions 4.5.0 hd8ed1ab_0
typing_extensions 4.5.0 pyha770c72_0
tzdata 2023c h71feb2d_0
urllib3 1.26.15 pyhd8ed1ab_0
wcwidth 0.2.6 pyhd8ed1ab_0
webencodings 0.5.1 py_1
websocket-client 1.5.1 pyhd8ed1ab_0
wheel 0.40.0 pyhd8ed1ab_0
widgetsnbextension 4.0.3 pyhd8ed1ab_0
xz 5.2.6 h775f41a_0
yaml 0.2.5 h0d85af4_2
zeromq 4.3.4 he49afe7_1
zipp 3.15.0 pyhd8ed1ab_0
zlib 1.2.13 hfd90126_4
zstandard 0.19.0 py39h5bcbcff_1
zstd 1.5.2 hbc0c0cd_6
Can anyone help me with this, please?
i don’t use macos nor conda, but as far as i understand the problem, you can only hope this gets fixed in conda forge dependencies.
in the meantime an alternative would be to try to install jupyterlab via pip install jupyterlab
1 Like
You can recover a working environment with last jupyterlab version by pinning libffi to 3.3.
micromamba create -f https://prefix.dev/envs/marcbernot/mojave/conda-lock.yml -n mojaveconda create -n testmojave python=3.9 libffi=3.3 notebook jupyterlab.here .
1 Like
I have same problem…
ISSUE segmentation fault
SYSTEM Mac Mojave 10.14
Conclude some version does not support Mojave 10.14; I cannot upgrade above 10.14
Goal create an env; jupyterlab pandas scikit-learn matplotlib -with dependancies like python,
SUMMARY
datails below:
test3 jupyterlab=3.5.3 python=3.11.0 scikit-learn matplotlib
jupyterlab 3.5.3
❯ jupyterlab #> 5080 segmentation fault
test2 jupyterlab=3.5.3 pandas scikit-learn matplotlib FAIL
❯ jupyterlab #> command not found: jupyterlab
test jupyterlab=3.6.6 pandas scikit-learn matplotlib FAIL
❯ jupyter lab #> 2389 segmentation fault
new1 install jupyterlab pandas scikit-learn matplotlib
