I am getting the below error when trying to execute the robotframework test scripts.
Parent suite setup failed:
SessionNotCreatedException: Message: Error: NS_BINDING_ABORTED
Stacktrace:
#checkLoadingState#chrome://remote/content/shared/Navigate.jsm:209:28
onStateChange#chrome://remote/content/shared/Navigate.jsm:254:28
Tests.Suites.Layer2.Dhl.Dhl Session | FAIL |
Suite setup failed:
SessionNotCreatedException: Message: Error: NS_BINDING_ABORTED
Stacktrace:
#checkLoadingState#chrome://remote/content/shared/Navigate.jsm:209:28
onStateChange#chrome://remote/content/shared/Navigate.jsm:254:28
Below are the list of files installed:
I installed python 3.10.5
C:\aoswebtest>pip list
Package Version
async-generator 1.10
attrs 21.4.0
bcrypt 3.2.2
certifi 2022.5.18.1
cffi 1.15.0
cryptography 36.0.1
et-xmlfile 1.1.0
h11 0.13.0
idna 3.3
openpyxl 3.0.9
outcome 1.1.0
paramiko 2.11.0
pip 22.0.4
pycparser 2.21
pydevd 2.7.0
PyNaCl 1.5.0
pyOpenSSL 22.0.0
PyYAML 6.0
robotframework 4.1.3
robotframework-pythonlibcore 3.0.0
robotframework-seleniumlibrary 6.0.0
robotframework-sshlibrary 3.8.0
scapy 2.4.5
scp 0.14.4
selenium 4.1.0
setuptools 58.1.0
six 1.16.0
sniffio 1.2.0
sortedcontainers 2.4.0
trio 0.20.0
trio-websocket 0.9.2
urllib3 1.26.9
webcolors 1.11.1
wsproto 1.1.0
xlrd 2.0.1
Can you anyone help my with this?
I have the same error. I used my pc and run selenium with firefox then it works fine. But when I copy code and run other pc, it shows error NS_BINDING_ABORTED.
I fix it by: downgrade firefox version(from 103.x.x -> 92.x.x)
Related
we are currently using JupyterHub for our team. When I try to use ipywidgets in JupyterLab I get tis JavaScript error (https adress is cutted out)
The Code
import ipywidgets as widgets
slider = widgets.FloatSlider(description='$x$')
text = widgets.FloatText(disabled=True, description='$x^2$')
def compute(*ignore):
text.value = str(slider.value ** 2)
slider.observe(compute, 'value')
slider.value = 4
widgets.VBox([slider, text])
The error from the notebook:
[Open Browser Console for more detailed log - Double click to close this message]
Failed to load model class 'VBoxModel' from module '#jupyter-widgets/controls'
Error: Module #jupyter-widgets/controls, version ^1.5.0 is not registered, however, 2.0.0 is
at f.loadClass (/lab/extensions/#jupyter-widgets/jupyterlab-manager/static/134.bcbea9feb6e7c4da7530.js?v=bcbea9feb6e7c4da7530:1:74977)
at f.loadModelClass (/lab/extensions/#jupyter-widgets/jupyterlab-manager/static/150.3e1e5adfd821b9b96340.js?v=3e1e5adfd821b9b96340:1:10729)
at f._make_model (/lab/extensions/#jupyter-widgets/jupyterlab-manager/static/150.3e1e5adfd821b9b96340.js?v=3e1e5adfd821b9b96340:1:7517)
at f.new_model (/lab/extensions/#jupyter-widgets/jupyterlab-manager/static/150.3e1e5adfd821b9b96340.js?v=3e1e5adfd821b9b96340:1:5137)
at f.handle_comm_open (/lab/extensions/#jupyter-widgets/jupyterlab-manager/static/150.3e1e5adfd821b9b96340.js?v=3e1e5adfd821b9b96340:1:3894)
at _handleCommOpen (/lab/extensions/#jupyter-widgets/jupyterlab-manager/static/134.bcbea9feb6e7c4da7530.js?v=bcbea9feb6e7c4da7530:1:73393)
at b._handleCommOpen (/static/lab/jlab_core.c53d87cd566b4851041c.js?v=c53d87cd566b4851041c:2:1203616)
at async b._handleMessage (/static/lab/jlab_core.c53d87cd566b4851041c.js?v=c53d87cd566b4851041c:2:1205606)
This is the error in the browser console (https://i.stack.imgur.com/E9wJS.png)
The packages:
Package Version
----------------------------- ------------
absl-py 1.3.0
aiohttp 3.8.3
aiosignal 1.3.1
alembic 1.8.1
altair 4.2.0
anyio 3.6.2
appmode 0.8.0
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asn1crypto 1.5.1
asttokens 2.1.0
astunparse 1.6.3
async-generator 1.10
async-timeout 4.0.2
attrs 22.1.0
Babel 2.11.0
backcall 0.2.0
backports.functools-lru-cache 1.6.4
beautifulsoup4 4.11.1
bleach 5.0.1
blinker 1.5
bokeh 3.0.2
boto3 1.26.16
botocore 1.29.16
Bottleneck 1.3.5
brotlipy 0.7.0
cached-property 1.5.2
cachetools 5.2.0
certifi 2022.9.24
certipy 0.1.3
cffi 1.15.1
charset-normalizer 2.1.1
click 8.1.3
cloudpickle 2.2.0
colorama 0.4.6
comm 0.1.0
conda 22.9.0
conda-package-handling 1.9.0
contourpy 1.0.6
cryptography 38.0.3
cycler 0.11.0
Cython 0.29.32
cytoolz 0.12.0
dask 2022.11.0
debugpy 1.6.3
decorator 5.1.1
defusedxml 0.7.1
dill 0.3.6
distributed 2022.11.0
ecdsa 0.18.0
enbw-aop-client 0.20221027.1
entrypoints 0.4
entsoe-py 0.5.8
envs 1.4
et-xmlfile 1.0.1
executing 1.2.0
fastjsonschema 2.16.2
filelock 3.8.0
Flask 2.2.2
flatbuffers 2.0
flit_core 3.8.0
fonttools 4.38.0
frozenlist 1.3.3
fsspec 2022.11.0
gast 0.4.0
geographiclib 1.52
geopy 2.3.0
gitdb 4.0.9
GitPython 3.1.29
gmpy2 2.1.2
google-auth 2.14.1
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
gravis 0.1.0
greenlet 2.0.1
grpcio 1.47.1
h11 0.14.0
h5py 3.7.0
HeapDict 1.0.1
idna 3.4
imagecodecs 2022.9.26
imageio 2.22.4
importlib-metadata 5.0.0
importlib-resources 5.10.0
ipykernel 6.18.0
ipython 8.6.0
ipython-genutils 0.2.0
ipywidgets 7.6.5
itsdangerous 2.1.2
jedi 0.18.2
Jinja2 3.1.2
jmespath 1.0.1
joblib 1.2.0
json5 0.9.10
jsonschema 4.17.1
jupyter_client 7.4.1
jupyter_core 5.0.0
jupyter-server 1.23.3
jupyter-server-mathjax 0.2.6
jupyter-server-proxy 3.2.2
jupyter-telemetry 0.1.0
jupyterhub 3.0.0
jupyterlab 3.5.0
jupyterlab-git 0.39.3
jupyterlab-pygments 0.2.2
jupyterlab_server 2.16.3
jupyterlab-widgets 1.1.1
keras 2.10.0
Keras-Preprocessing 1.1.2
kiwisolver 1.4.4
libmambapy 1.0.0
llvmlite 0.39.1
locket 1.0.0
lxml 4.9.1
lz4 4.0.2
Mako 1.2.4
mamba 1.0.0
Markdown 3.4.1
MarkupSafe 2.1.1
matplotlib 3.6.2
matplotlib-inline 0.1.6
mistune 0.8.4
mpmath 1.2.1
msgpack 1.0.4
multidict 6.0.2
munkres 1.1.4
nbclassic 0.4.8
nbclient 0.5.13
nbconvert 6.5.3
nbdime 3.1.1
nbformat 5.7.0
nbtools 21.12
nest-asyncio 1.5.6
networkx 2.8.8
neurolab 0.3.5
notebook 6.5.2
notebook_shim 0.2.2
ntlm-auth 1.5.0
numba 0.56.4
numexpr 2.8.3
numpy 1.23.5
oauthlib 3.2.2
openpyxl 3.0.10
opt-einsum 3.3.0
oscrypto 1.2.1
outcome 1.2.0
packaging 21.3
pamela 1.0.0
pandas 1.5.2
pandocfilters 1.5.0
parso 0.8.3
partd 1.3.0
patsy 0.5.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.2.0
pip 22.3.1
pkgutil_resolve_name 1.3.10
platformdirs 2.5.4
plotly 5.11.0
pretty-html-table 0.9.11
prometheus-client 0.15.0
prompt-toolkit 3.0.33
protobuf 4.21.9
psutil 5.9.4
ptyprocess 0.7.0
pure-eval 0.2.2
pyarrow 9.0.0
pyasn1 0.4.8
pyasn1-modules 0.2.7
pycognito 2022.4.0
pycosat 0.6.4
pycparser 2.21
pycryptodomex 3.15.0
pycurl 7.45.1
pydantic 1.10.2
Pygments 2.13.0
PyJWT 2.6.0
pyOpenSSL 22.1.0
pyparsing 3.0.9
pyproj 3.4.0
pyrsistent 0.19.2
PySocks 1.7.1
python-dateutil 2.8.2
python-jose 3.3.0
python-json-logger 2.0.1
pytz 2022.6
pytz-deprecation-shim 0.1.0.post0
pyu2f 0.1.5
PyWavelets 1.3.0
PyYAML 6.0
pyzmq 24.0.1
requests 2.28.1
requests-ntlm 1.1.0
requests-oauthlib 1.3.1
requests-toolbelt 0.10.1
rpy2 3.5.6
rsa 4.9
ruamel.yaml 0.17.21
ruamel.yaml.clib 0.2.7
ruamel-yaml-conda 0.15.80
s3transfer 0.6.0
scikit-image 0.19.3
scikit-learn 1.1.3
scipy 1.9.3
seaborn 0.12.1
selenium 4.6.0
Send2Trash 1.8.0
setuptools 65.6.2
SharePlum 0.5.1
simpervisor 0.4
simplegeneric 0.8.1
six 1.16.0
smmap 3.0.5
sniffio 1.3.0
snowflake-connector-python 2.8.2
sortedcontainers 2.4.0
soupsieve 2.3.2.post1
SQLAlchemy 1.4.44
stack-data 0.6.1
statsmodels 0.13.5
sympy 1.11.1
tables 3.7.0
tblib 1.7.0
tenacity 8.1.0
tensorboard 2.10.1
tensorboard-data-server 0.6.0
tensorboard-plugin-wit 1.8.1
tensorflow 2.10.0
tensorflow-estimator 2.10.0
termcolor 2.1.1
terminado 0.17.0
terminaltables 3.1.10
threadpoolctl 3.1.0
tifffile 2022.10.10
tinycss2 1.2.1
tomli 2.0.1
toolz 0.12.0
tornado 6.2
tqdm 4.64.1
traitlets 5.5.0
trio 0.21.0
trio-websocket 0.9.2
typing_extensions 4.4.0
tzdata 2022.6
tzlocal 4.2
unicodedata2 15.0.0
urllib3 1.26.13
usp.common.data 5.1.1
usp.common.util 0.0.1
voila 0.4.0
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.4.2
websockets 10.4
Werkzeug 2.2.2
wheel 0.38.4
widgetsnbextension 3.5.2
wrapt 1.14.1
wsproto 1.2.0
xlrd 2.0.1
XlsxWriter 3.0.3
xyzservices 2022.9.0
yarl 1.8.1
zict 2.2.0
zipp 3.10.0
I have already tried both versions of this solution ipywidgets==7.6.5 or ipywidgets==7.7.2 ipywidgets < 8 e.g. 7.7 cannot be installed with pip · Issue #3558 · jupyter-widgets/ipywidgets · GitHub
The individual environment for each user (from Zero to JupyterHub solution) starts with ipywidgets==8.0.2. The problem is that we may need another version <8, due to your problem with voila Nbconvert and voila no ipywidgets - General - Jupyter Community Forum
Cross-post https://discourse.jupyter.org/t/ipywidgets-are-not-displayed-with-javascript-error/16958
pip install apache-airflow
pip3.9 install apache-airflow
The Err by Collecting urllib3<1.27,>=1.21.1
Using cached urllib3-1.26.8-py2.py3-none-any.whl (138 kB)
Using legacy 'setup.py install' for flask-login, since package 'wheel' is not installed.
Using legacy 'setup.py install' for python-nvd3, since package 'wheel' is not installed.
Using legacy 'setup.py install' for python-slugify, since package 'wheel' is not installed.
Using legacy 'setup.py install' for termcolor, since package 'wheel' is not installed.
Using legacy 'setup.py install' for unicodecsv, since package 'wheel' is not installed.
Using legacy 'setup.py install' for blinker, since package 'wheel' is not installed.
Using legacy 'setup.py install' for Flask-JWT-Extended, since package 'wheel' is not installed.
Building wheels for collected packages: setproctitle
Building wheel for setproctitle (pyproject.toml) ... error
error: subprocess-exited-with-error
× Building wheel for setproctitle (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
running bdist_wheel
running build
running build_ext
building 'setproctitle' extension
xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun
error: command '/usr/bin/clang' failed with exit code 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for setproctitle
Failed to build setproctitle
ERROR: Could not build wheels for setproctitle, which is required to install pyproject.toml-based projects
actually already tried to downgrade the pip version from pip 22.0.3 to 20.2.4
pip install --upgrade pip==20.2.4
like solution in the thread "Could not build wheels for setproctitle..."
still the same error
Need to install Azure cosmos-db python sdk via conda. But I can only install up to version 3.1.2 and 4.2.0 is needed in the project. I wonder how can I manually load the prebuild cosmo sdk in to the conda environment?
I have a env.yml file shown as follow, the enviroment is created via conda env create -f <path_to_env.yml>
name: cco_1410
channels:
- conda-forge
dependencies:
- azure-cosmos=4.2.0 (this would lead to fail)
- python=3
- fastapi=0.65.0
- pytest
install 4.2.0 version via conda is not possible. Conda is only able to install up to 3.1.2 version
conda search azure-cosmos
returns
/opt/miniconda3/lib/python3.9/site-packages/requests/__init__.py:89: RequestsDependencyWarning: urllib3 (1.26.2) or chardet (4.0.0) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
Loading channels: done
# Name Version Build Channel
azure-cosmos 3.0.2 py_0 conda-forge
azure-cosmos 3.1.0 py_0 conda-forge
azure-cosmos 3.1.1 py_0 conda-forge
azure-cosmos 3.1.2 py_0 conda-forge
azure-cosmos 3.1.2 py_0 pkgs/main
In lieu of someone fixing the Conda Forge feedstock so that the newer versions are available on Conda, it is a PyPI package, so one can also install it through Pip:
name: cco_1410
channels:
- conda-forge
dependencies:
- python=3
- fastapi=0.65.0
- pytest
- pip
- pip:
- azure-cosmos==4.2.0
Please read the Conda documentation on installing non-Conda packages.
Microsoft releases Azure SDK packages for conda every three months in Microsoft channel (https://anaconda.org/microsoft).
azure-cosmos 4.2.0 was included in Sep. release.
You can find it from https://anaconda.org/microsoft/azure-cosmos.
(I work in MS in the SDK team)
I'm using 1.10 version of reticulate package ( R version is 3.5.1) and I want to configure it to use pyenv python (path is /Users/name/.pyenv/versions/hak/bin/python). Running py_config() won't show me this python as available:
python: /usr/bin/python
libpython:
/System/Library/Frameworks/Python.
framework/Versions/2.7/lib/python2.7/config/libpython2.7.dylib
pythonhome:
/System/Library/Frameworks/Python.
framework/Versions/2.7:/System/Library
/Frameworks/Python.framework/Versions/2.7
version: 2.7.10 (default, Oct 6 2017, 22:29:07)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.31)]
numpy: /System/ Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy
numpy_version: 1.8.0
python versions found:
/usr/bin/python
/usr/local/bin/python
/usr/local/bin/python3
Because my pyenv python isnt available I set RETICULATE_PYTHON env variable on mentioned path. But now i get the error
Error in initialize_python(required_module, use_environment) :
Python shared library
'/Users/name/.pyenv/versions/3.6.5/lib/libpython3.6.dylib'
not found, Python bindings not loaded.
Does anybody know how to solve this ?
pyenv doesn't build pythons with shareable libraries by default. to make sure it does either have the CONFIGURE_OPTIONS variable set or preface your pyenv build $VERSION commands as in the example below:
env PYTHON_CONFIGURE_OPTS="--enable-shared" pyenv install 3.7.5
see:
https://github.com/pyenv/pyenv/blob/master/plugins/python-build/README.md#building-with---enable-shared)
I invoke:
brew install sbt
I get:
/usr/local/Cellar/sbt/1.1.1: 491 files, 48.3MB, built in 7 seconds
I invoke:
sbt sbtVersion
I get:
[info] Loading project definition from /Users/name/project
[info] Set current project to name (in build file:/Users/name/)
[info] 1.1.0
I'm expecting to see
[info] 1.1.1
Why don't the version values match?
Thank you.
Most likely, because you have a file project/build.properties with line
sbt.version=1.1.0
So one thing is the version of the launcher that you installed with Homebrew and another is the version of the sbt you launch in particular project. If you don't set it explicitly in project/build.properties, sbt will try to run its own version (launcher's, i.e. 1.1.1 in your case).
Another possible reason is that Homebrew could install the formula, but not link the binaries (assuming you upgraded from sbt 1.1.0). You can run several commands to verify which versions you have
$ brew info sbt
...
$ brew list --versions sbt
sbt 0.13.16 0.13.11 1.0.0 1.0.1 1.1.0 0.13.12 0.13.15 1.1.1 0.13.13 1.0.4 1.0.3 1.0.2
$ brew list sbt
/usr/local/Cellar/sbt/1.1.1/bin/sbt
/usr/local/Cellar/sbt/1.1.1/libexec/bin/ (5 files)
/usr/local/Cellar/sbt/1.1.1/libexec/lib/ (483 files)
You can see here that I have many old versions installed, but the one linked is 1.1.1. In case I need to switch to an older launcher, I can run brew switch sbt 1.0.4, for example.