Incorrect URL path causes repeated "JupyterLab redirected to: ..." popups #12768
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Thank you for opening your first issue in this project! Engagement like this is essential for open source projects! 🤗 |
jupyterlab-probot
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status:Needs Triage
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I see the dialog box appear on refresh when I using tip of We were also able to reproduce this issue across browsers, as the original author did:
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Hi, I would like to ask if there is any updates on this issue? I have the same problem. |
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Happy New Year all, @JasonWeill - is there any movement on this? |
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I can still reproduce this using tip-of- |
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Thanks, is there any plan for resolution? |
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Not that I'm aware of; we welcome pull requests if you've found a resolution for this issue. |
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This issue may be duplicated by jupyterlab/jupyterlab_server#314 . |
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after some back and forth install and uninstall of jupyterlab font witj jupyter lab 4.0, i got this error too: |
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Any update on this? We're still seeing this on jupyterlab version |
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Still present in tip of |
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This may be an issue in JupyterLab Server (not to be confused with Jupyter Server). The … however, there is no "found" handler that _un_sets |
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Upon further investigation, this regular expression in Jupyter Server is supposed to detect valid JupyterLab URLs, but it is incomplete: In short, this does not capture solely valid URLs, such as those starting with |
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Hi @JasonWeill, I have raised a PR for this issue, please have a look into it. |
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Fixed by jupyterlab/jupyterlab_server#436 — thank you @itsmevichu ! |
Description
When providing a url subpath after "/lab" (ie: some.domain/lab/subfolder), if "subfolder" does not exist a repeated popup will occur on page refresh will occur until the server is restarted.
Reproduce
jupyter server,jupyter lab&jupyter notebookstartup methods). If you have auth enabled, pass the auth step.With the same server, you can open a different browser (ie: edge/firefox instead of chrome) and the issue will persist across browsers
This issue was found as it is possible to share docker images with images embedded at a particular path. When images were shared, if a user didn't copy/paste the link as expected, the error would trigger.
Issue does not trigger in "Classic Notebook Mode", as it simply returns a 404.
Expected behavior
The popup should be cleared after the first click of the "dismiss" button.
Context
Troubleshoot Output
(taken from docker image `jupyter/base-notebook:latest` to ensure sanitised paths, reproducable in any jupyterlab environment)$PATH: /opt/conda/bin /opt/conda/condabin /opt/conda/bin /usr/local/sbin /usr/local/bin /usr/sbin /usr/bin /sbin /binsys.path:
/opt/conda/bin
/opt/conda/lib/python310.zip
/opt/conda/lib/python3.10
/opt/conda/lib/python3.10/lib-dynload
/opt/conda/lib/python3.10/site-packages
sys.executable:
/opt/conda/bin/python
sys.version:
3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 07:04:59) [GCC 10.3.0]
platform.platform():
Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
which -a jupyter:
/opt/conda/bin/jupyter
/opt/conda/bin/jupyter
pip list:
Package Version
----------------------------- ---------
alembic 1.8.0
anyio 3.6.1
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asttokens 2.0.5
async-generator 1.10
attrs 21.4.0
Babel 2.10.3
backcall 0.2.0
backports.functools-lru-cache 1.6.4
beautifulsoup4 4.11.1
bleach 5.0.1
blinker 1.4
brotlipy 0.7.0
certifi 2022.6.15
certipy 0.1.3
cffi 1.15.1
charset-normalizer 2.1.0
colorama 0.4.5
conda 4.13.0
conda-package-handling 1.8.1
cryptography 37.0.2
debugpy 1.6.0
decorator 5.1.1
defusedxml 0.7.1
entrypoints 0.4
executing 0.8.3
fastjsonschema 2.15.3
flit_core 3.7.1
greenlet 1.1.2
idna 3.3
importlib-metadata 4.11.4
importlib-resources 5.8.0
ipykernel 6.15.0
ipython 8.4.0
ipython-genutils 0.2.0
jedi 0.18.1
Jinja2 3.1.2
json5 0.9.5
jsonschema 4.6.1
jupyter-client 7.3.4
jupyter-core 4.10.0
jupyter-server 1.18.0
jupyter-telemetry 0.1.0
jupyterhub 2.3.1
jupyterlab 3.4.3
jupyterlab-pygments 0.2.2
jupyterlab-server 2.14.0
libmambapy 0.24.0
Mako 1.2.1
mamba 0.24.0
MarkupSafe 2.1.1
matplotlib-inline 0.1.3
mistune 0.8.4
nbclassic 0.3.7
nbclient 0.6.6
nbconvert 6.5.0
nbformat 5.4.0
nest-asyncio 1.5.5
notebook 6.4.12
notebook-shim 0.1.0
oauthlib 3.2.0
packaging 21.3
pamela 1.0.0
pandocfilters 1.5.0
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
pip 22.1.2
prometheus-client 0.14.1
prompt-toolkit 3.0.30
psutil 5.9.1
ptyprocess 0.7.0
pure-eval 0.2.2
pycosat 0.6.3
pycparser 2.21
pycurl 7.45.1
Pygments 2.12.0
PyJWT 2.4.0
pyOpenSSL 22.0.0
pyparsing 3.0.9
pyrsistent 0.18.1
PySocks 1.7.1
python-dateutil 2.8.2
python-json-logger 2.0.1
pytz 2022.1
pyzmq 23.2.0
requests 2.28.1
ruamel.yaml 0.17.21
ruamel.yaml.clib 0.2.6
ruamel-yaml-conda 0.15.80
Send2Trash 1.8.0
setuptools 62.6.0
six 1.16.0
sniffio 1.2.0
soupsieve 2.3.1
SQLAlchemy 1.4.39
stack-data 0.3.0
terminado 0.15.0
tinycss2 1.1.1
tornado 6.1
tqdm 4.64.0
traitlets 5.3.0
urllib3 1.26.9
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.3.3
wheel 0.37.1
zipp 3.8.0
conda list:
# packages in environment at /opt/conda:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
alembic 1.8.0 pyhd8ed1ab_0 conda-forge
anyio 3.6.1 py310hff52083_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py310h5764c6d_2 conda-forge
asttokens 2.0.5 pyhd8ed1ab_0 conda-forge
async_generator 1.10 py_0 conda-forge
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
babel 2.10.3 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
beautifulsoup4 4.11.1 pyha770c72_0 conda-forge
bleach 5.0.1 pyhd8ed1ab_0 conda-forge
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py310h5764c6d_1004 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.6.15 ha878542_0 conda-forge
certifi 2022.6.15 py310hff52083_0 conda-forge
certipy 0.1.3 py_0 conda-forge
cffi 1.15.1 py310h255011f_0 conda-forge
charset-normalizer 2.1.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.5 pyhd8ed1ab_0 conda-forge
conda 4.13.0 py310hff52083_1 conda-forge
conda-package-handling 1.8.1 py310h5764c6d_1 conda-forge
configurable-http-proxy 4.5.1 node17_h7e777a6_1 conda-forge
cryptography 37.0.2 py310h597c629_0 conda-forge
debugpy 1.6.0 py310hd8f1fbe_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
executing 0.8.3 pyhd8ed1ab_0 conda-forge
flit-core 3.7.1 pyhd8ed1ab_0 conda-forge
greenlet 1.1.2 py310hd8f1fbe_2 conda-forge
icu 70.1 h27087fc_0 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.4 py310hff52083_0 conda-forge
importlib_metadata 4.11.4 hd8ed1ab_0 conda-forge
importlib_resources 5.8.0 pyhd8ed1ab_0 conda-forge
ipykernel 6.15.0 pyh210e3f2_0 conda-forge
ipython 8.4.0 py310hff52083_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
jedi 0.18.1 py310hff52083_1 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonschema 4.6.1 pyhd8ed1ab_0 conda-forge
jupyter_client 7.3.4 pyhd8ed1ab_0 conda-forge
jupyter_core 4.10.0 py310hff52083_0 conda-forge
jupyter_server 1.18.0 pyhd8ed1ab_1 conda-forge
jupyter_telemetry 0.1.0 pyhd8ed1ab_1 conda-forge
jupyterhub 2.3.1 pyhd8ed1ab_0 conda-forge
jupyterhub-base 2.3.1 pyhd8ed1ab_0 conda-forge
jupyterlab 3.4.3 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge
jupyterlab_server 2.14.0 pyhd8ed1ab_1 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
krb5 1.19.3 h3790be6_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
libarchive 3.5.2 hb890918_3 conda-forge
libcurl 7.83.1 h7bff187_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 12.1.0 h8d9b700_16 conda-forge
libgomp 12.1.0 h8d9b700_16 conda-forge
libiconv 1.16 h516909a_0 conda-forge
libmamba 0.24.0 hd8a31e3_1 conda-forge
libmambapy 0.24.0 py310hab0e683_1 conda-forge
libnghttp2 1.47.0 h727a467_0 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libsolv 0.7.22 h6239696_0 conda-forge
libssh2 1.10.0 ha56f1ee_2 conda-forge
libstdcxx-ng 12.1.0 ha89aaad_16 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libuv 1.43.0 h7f98852_0 conda-forge
libxml2 2.9.14 h22db469_1 conda-forge
libzlib 1.2.12 h166bdaf_1 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
lzo 2.10 h516909a_1000 conda-forge
mako 1.2.1 pyhd8ed1ab_0 conda-forge
mamba 0.24.0 py310hf87f941_1 conda-forge
markupsafe 2.1.1 py310h5764c6d_1 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mistune 0.8.4 py310h6acc77f_1005 conda-forge
nbclassic 0.3.7 pyhd8ed1ab_0 conda-forge
nbclient 0.6.6 pyhd8ed1ab_0 conda-forge
nbconvert 6.5.0 pyhd8ed1ab_0 conda-forge
nbconvert-core 6.5.0 pyhd8ed1ab_0 conda-forge
nbconvert-pandoc 6.5.0 pyhd8ed1ab_0 conda-forge
nbformat 5.4.0 pyhd8ed1ab_0 conda-forge
ncurses 6.3 h27087fc_1 conda-forge
nest-asyncio 1.5.5 pyhd8ed1ab_0 conda-forge
nodejs 17.9.0 h96d913c_0 conda-forge
notebook 6.4.12 pyha770c72_0 conda-forge
notebook-shim 0.1.0 pyhd8ed1ab_0 conda-forge
oauthlib 3.2.0 pyhd8ed1ab_0 conda-forge
openssl 1.1.1p h166bdaf_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pamela 1.0.0 py_0 conda-forge
pandoc 2.18 ha770c72_0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pip 22.1.2 pyhd8ed1ab_0 conda-forge
prometheus_client 0.14.1 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.30 pyha770c72_0 conda-forge
psutil 5.9.1 py310h5764c6d_0 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pybind11-abi 4 hd8ed1ab_3 conda-forge
pycosat 0.6.3 py310h5764c6d_1010 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pycurl 7.45.1 py310h2aed498_2 conda-forge
pygments 2.12.0 pyhd8ed1ab_0 conda-forge
pyjwt 2.4.0 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyrsistent 0.18.1 py310h5764c6d_1 conda-forge
pysocks 1.7.1 py310hff52083_5 conda-forge
python 3.10.5 h582c2e5_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.15.3 pyhd8ed1ab_0 conda-forge
python-json-logger 2.0.1 pyh9f0ad1d_0 conda-forge
python_abi 3.10 2_cp310 conda-forge
pytz 2022.1 pyhd8ed1ab_0 conda-forge
pyzmq 23.2.0 py310h330234f_0 conda-forge
readline 8.1.2 h0f457ee_0 conda-forge
reproc 14.2.3 h7f98852_0 conda-forge
reproc-cpp 14.2.3 h9c3ff4c_0 conda-forge
requests 2.28.1 pyhd8ed1ab_0 conda-forge
ruamel.yaml 0.17.21 py310h5764c6d_1 conda-forge
ruamel.yaml.clib 0.2.6 py310h5764c6d_1 conda-forge
ruamel_yaml 0.15.80 py310h5764c6d_1007 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 62.6.0 py310hff52083_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sniffio 1.2.0 py310hff52083_3 conda-forge
soupsieve 2.3.1 pyhd8ed1ab_0 conda-forge
sqlalchemy 1.4.39 py310h5764c6d_0 conda-forge
sqlite 3.39.0 h4ff8645_0 conda-forge
stack_data 0.3.0 pyhd8ed1ab_0 conda-forge
terminado 0.15.0 py310hff52083_0 conda-forge
tinycss2 1.1.1 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
tornado 6.1 py310h5764c6d_3 conda-forge
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
traitlets 5.3.0 pyhd8ed1ab_0 conda-forge
tzdata 2022a h191b570_0 conda-forge
urllib3 1.26.9 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.3.3 pyhd8ed1ab_0 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yaml-cpp 0.7.0 h27087fc_1 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zipp 3.8.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.12 h166bdaf_1 conda-forge
zstd 1.5.2 h8a70e8d_2 conda-forge
conda env:
name: base
channels:
- conda-forge
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_gnu
- alembic=1.8.0=pyhd8ed1ab_0
- anyio=3.6.1=py310hff52083_0
- argon2-cffi=21.3.0=pyhd8ed1ab_0
- argon2-cffi-bindings=21.2.0=py310h5764c6d_2
- asttokens=2.0.5=pyhd8ed1ab_0
- async_generator=1.10=py_0
- attrs=21.4.0=pyhd8ed1ab_0
- babel=2.10.3=pyhd8ed1ab_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
- beautifulsoup4=4.11.1=pyha770c72_0
- bleach=5.0.1=pyhd8ed1ab_0
- blinker=1.4=py_1
- brotlipy=0.7.0=py310h5764c6d_1004
- bzip2=1.0.8=h7f98852_4
- c-ares=1.18.1=h7f98852_0
- ca-certificates=2022.6.15=ha878542_0
- certifi=2022.6.15=py310hff52083_0
- certipy=0.1.3=py_0
- cffi=1.15.1=py310h255011f_0
- charset-normalizer=2.1.0=pyhd8ed1ab_0
- colorama=0.4.5=pyhd8ed1ab_0
- conda=4.13.0=py310hff52083_1
- conda-package-handling=1.8.1=py310h5764c6d_1
- configurable-http-proxy=4.5.1=node17_h7e777a6_1
- cryptography=37.0.2=py310h597c629_0
- debugpy=1.6.0=py310hd8f1fbe_0
- decorator=5.1.1=pyhd8ed1ab_0
- defusedxml=0.7.1=pyhd8ed1ab_0
- entrypoints=0.4=pyhd8ed1ab_0
- executing=0.8.3=pyhd8ed1ab_0
- flit-core=3.7.1=pyhd8ed1ab_0
- greenlet=1.1.2=py310hd8f1fbe_2
- icu=70.1=h27087fc_0
- idna=3.3=pyhd8ed1ab_0
- importlib-metadata=4.11.4=py310hff52083_0
- importlib_metadata=4.11.4=hd8ed1ab_0
- importlib_resources=5.8.0=pyhd8ed1ab_0
- ipykernel=6.15.0=pyh210e3f2_0
- ipython=8.4.0=py310hff52083_0
- ipython_genutils=0.2.0=py_1
- jedi=0.18.1=py310hff52083_1
- jinja2=3.1.2=pyhd8ed1ab_1
- json5=0.9.5=pyh9f0ad1d_0
- jsonschema=4.6.1=pyhd8ed1ab_0
- jupyter_client=7.3.4=pyhd8ed1ab_0
- jupyter_core=4.10.0=py310hff52083_0
- jupyter_server=1.18.0=pyhd8ed1ab_1
- jupyter_telemetry=0.1.0=pyhd8ed1ab_1
- jupyterhub=2.3.1=pyhd8ed1ab_0
- jupyterhub-base=2.3.1=pyhd8ed1ab_0
- jupyterlab=3.4.3=pyhd8ed1ab_0
- jupyterlab_pygments=0.2.2=pyhd8ed1ab_0
- jupyterlab_server=2.14.0=pyhd8ed1ab_1
- keyutils=1.6.1=h166bdaf_0
- krb5=1.19.3=h3790be6_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- libarchive=3.5.2=hb890918_3
- libcurl=7.83.1=h7bff187_0
- libedit=3.1.20191231=he28a2e2_2
- libev=4.33=h516909a_1
- libffi=3.4.2=h7f98852_5
- libgcc-ng=12.1.0=h8d9b700_16
- libgomp=12.1.0=h8d9b700_16
- libiconv=1.16=h516909a_0
- libmamba=0.24.0=hd8a31e3_1
- libmambapy=0.24.0=py310hab0e683_1
- libnghttp2=1.47.0=h727a467_0
- libnsl=2.0.0=h7f98852_0
- libsodium=1.0.18=h36c2ea0_1
- libsolv=0.7.22=h6239696_0
- libssh2=1.10.0=ha56f1ee_2
- libstdcxx-ng=12.1.0=ha89aaad_16
- libuuid=2.32.1=h7f98852_1000
- libuv=1.43.0=h7f98852_0
- libxml2=2.9.14=h22db469_1
- libzlib=1.2.12=h166bdaf_1
- lz4-c=1.9.3=h9c3ff4c_1
- lzo=2.10=h516909a_1000
- mako=1.2.1=pyhd8ed1ab_0
- mamba=0.24.0=py310hf87f941_1
- markupsafe=2.1.1=py310h5764c6d_1
- matplotlib-inline=0.1.3=pyhd8ed1ab_0
- mistune=0.8.4=py310h6acc77f_1005
- nbclassic=0.3.7=pyhd8ed1ab_0
- nbclient=0.6.6=pyhd8ed1ab_0
- nbconvert=6.5.0=pyhd8ed1ab_0
- nbconvert-core=6.5.0=pyhd8ed1ab_0
- nbconvert-pandoc=6.5.0=pyhd8ed1ab_0
- nbformat=5.4.0=pyhd8ed1ab_0
- ncurses=6.3=h27087fc_1
- nest-asyncio=1.5.5=pyhd8ed1ab_0
- nodejs=17.9.0=h96d913c_0
- notebook=6.4.12=pyha770c72_0
- notebook-shim=0.1.0=pyhd8ed1ab_0
- oauthlib=3.2.0=pyhd8ed1ab_0
- openssl=1.1.1p=h166bdaf_0
- packaging=21.3=pyhd8ed1ab_0
- pamela=1.0.0=py_0
- pandoc=2.18=ha770c72_0
- pandocfilters=1.5.0=pyhd8ed1ab_0
- parso=0.8.3=pyhd8ed1ab_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pip=22.1.2=pyhd8ed1ab_0
- prometheus_client=0.14.1=pyhd8ed1ab_0
- prompt-toolkit=3.0.30=pyha770c72_0
- psutil=5.9.1=py310h5764c6d_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pure_eval=0.2.2=pyhd8ed1ab_0
- pybind11-abi=4=hd8ed1ab_3
- pycosat=0.6.3=py310h5764c6d_1010
- pycparser=2.21=pyhd8ed1ab_0
- pycurl=7.45.1=py310h2aed498_2
- pygments=2.12.0=pyhd8ed1ab_0
- pyjwt=2.4.0=pyhd8ed1ab_0
- pyopenssl=22.0.0=pyhd8ed1ab_0
- pyparsing=3.0.9=pyhd8ed1ab_0
- pyrsistent=0.18.1=py310h5764c6d_1
- pysocks=1.7.1=py310hff52083_5
- python=3.10.5=h582c2e5_0_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python-fastjsonschema=2.15.3=pyhd8ed1ab_0
- python-json-logger=2.0.1=pyh9f0ad1d_0
- python_abi=3.10=2_cp310
- pytz=2022.1=pyhd8ed1ab_0
- pyzmq=23.2.0=py310h330234f_0
- readline=8.1.2=h0f457ee_0
- reproc=14.2.3=h7f98852_0
- reproc-cpp=14.2.3=h9c3ff4c_0
- requests=2.28.1=pyhd8ed1ab_0
- ruamel.yaml=0.17.21=py310h5764c6d_1
- ruamel.yaml.clib=0.2.6=py310h5764c6d_1
- ruamel_yaml=0.15.80=py310h5764c6d_1007
- send2trash=1.8.0=pyhd8ed1ab_0
- setuptools=62.6.0=py310hff52083_0
- six=1.16.0=pyh6c4a22f_0
- sniffio=1.2.0=py310hff52083_3
- soupsieve=2.3.1=pyhd8ed1ab_0
- sqlalchemy=1.4.39=py310h5764c6d_0
- sqlite=3.39.0=h4ff8645_0
- stack_data=0.3.0=pyhd8ed1ab_0
- terminado=0.15.0=py310hff52083_0
- tinycss2=1.1.1=pyhd8ed1ab_0
- tk=8.6.12=h27826a3_0
- tornado=6.1=py310h5764c6d_3
- tqdm=4.64.0=pyhd8ed1ab_0
- traitlets=5.3.0=pyhd8ed1ab_0
- tzdata=2022a=h191b570_0
- urllib3=1.26.9=pyhd8ed1ab_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- webencodings=0.5.1=py_1
- websocket-client=1.3.3=pyhd8ed1ab_0
- wheel=0.37.1=pyhd8ed1ab_0
- xz=5.2.5=h516909a_1
- yaml=0.2.5=h7f98852_2
- yaml-cpp=0.7.0=h27087fc_1
- zeromq=4.3.4=h9c3ff4c_1
- zipp=3.8.0=pyhd8ed1ab_0
- zlib=1.2.12=h166bdaf_1
- zstd=1.5.2=h8a70e8d_2
prefix: /opt/conda
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