zakandrewking
commented
6 years ago thanks for the report! I'll take a look and see if i can reproduce it
Closed BjornFJohansson closed 5 years ago
zakandrewking
commented
6 years ago thanks for the report! I'll take a look and see if i can reproduce it
pablormier
commented
6 years ago Same problem with the following libs:
#
# Name Version Build Channel
atomicwrites 1.1.5 <pip>
attrs 18.1.0 <pip>
backcall 0.1.0 <pip>
bleach 2.1.3 <pip>
ca-certificates 2018.03.07 0
certifi 2018.4.16 py36_0
cobra 0.13.0 <pip>
decorator 4.3.0 <pip>
depinfo 1.3.0 <pip>
entrypoints 0.2.3 <pip>
Escher 1.6.0 <pip>
future 0.16.0 <pip>
html5lib 1.0.1 <pip>
ipykernel 4.8.2 <pip>
ipython 6.4.0 <pip>
ipython-genutils 0.2.0 <pip>
ipywidgets 7.2.1 <pip>
jedi 0.12.0 <pip>
Jinja2 2.10 <pip>
jsonschema 2.6.0 <pip>
jupyter-client 5.2.3 <pip>
jupyter-core 4.4.0 <pip>
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 hdf63c60_3
libstdcxx-ng 7.2.0 hdf63c60_3
MarkupSafe 1.0 <pip>
mistune 0.8.3 <pip>
more-itertools 4.2.0 <pip>
mpmath 1.0.0 <pip>
nbconvert 5.3.1 <pip>
nbformat 4.4.0 <pip>
ncurses 6.1 hf484d3e_0
nglview 1.1.3 <pip>
notebook 5.5.0 <pip>
numpy 1.14.4 <pip>
openssl 1.0.2o h20670df_0
optlang 1.4.2 <pip>
pandas 0.23.0 <pip>
pandocfilters 1.4.2 <pip>
parso 0.2.1 <pip>
pexpect 4.6.0 <pip>
pickleshare 0.7.4 <pip>
pip 10.0.1 py36_0
pipdeptree 0.12.1 <pip>
pluggy 0.6.0 <pip>
prompt-toolkit 1.0.15 <pip>
ptyprocess 0.5.2 <pip>
py 1.5.3 <pip>
Pygments 2.2.0 <pip>
pytest 3.6.1 <pip>
python 3.6.5 hc3d631a_2
python-dateutil 2.7.3 <pip>
pytz 2018.4 <pip>
pyzmq 17.0.0 <pip>
readline 7.0 ha6073c6_4
ruamel.yaml 0.14.12 <pip>
Send2Trash 1.5.0 <pip>
setuptools 39.2.0 py36_0
simplegeneric 0.8.1 <pip>
six 1.11.0 <pip>
sqlite 3.23.1 he433501_0
swiglpk 1.4.4 <pip>
sympy 1.1.1 <pip>
tabulate 0.8.2 <pip>
terminado 0.8.1 <pip>
testpath 0.3.1 <pip>
tk 8.6.7 hc745277_3
tornado 5.0.2 <pip>
traitlets 4.3.2 <pip>
wcwidth 0.1.7 <pip>
webencodings 0.5.1 <pip>
wheel 0.31.1 py36_0
widgetsnbextension 3.2.1 <pip>
xz 5.2.4 h14c3975_4
zlib 1.2.11 ha838bed_2
I've tried with previous version of the lib without success
zakandrewking
commented
6 years ago FYI, Jupyter Lab has a new extension interface, so Escher versions <= 1.6 will not work there. I am working on a new release that will work in both classic notebooks & jupyter lab using the widget system (#275).
I am in the process of reproducing the examples here on my own computer.
I get this output running in the standard jupyter notebook, which seems ok
However, in jupyterlab (same cell in same notebook running on the same kernel), output is blank.
The first time I ran there was some sort of warning that I cannot seem to reproduce.
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$ conda info
populated config files : /home/bjorn/.condarc conda version : 4.5.4 conda-build version : 3.10.5 python version : 3.6.5.final.0 base environment : /home/bjorn/anaconda3 (writable) channel URLs : https://conda.anaconda.org/conda-forge/linux-64 https://conda.anaconda.org/conda-forge/noarch https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/free/linux-64 https://repo.anaconda.com/pkgs/free/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/pro/linux-64 https://repo.anaconda.com/pkgs/pro/noarch https://conda.anaconda.org/BjornFJohansson/linux-64 https://conda.anaconda.org/BjornFJohansson/noarch package cache : /home/bjorn/anaconda3/pkgs /home/bjorn/.conda/pkgs envs directories : /home/bjorn/anaconda3/envs /home/bjorn/.conda/envs platform : linux-64 user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Linux/4.13.0-43-generic linuxmint/18.2 glibc/2.23 UID:GID : 1000:1000 netrc file : None offline mode : False
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$