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Description
I recently did a clean install of Jupyter Lab so I have a stable setup, without all those startup warnings etc.
I am keen to again have a "snippets" capability.
However I am a bit reluctant to install this Quantstack/jupyterlab-snippets (at v0.4.1) due to the downgrades of jupyterlab and jupyter_client that this will entail. See conda install dialog below.
Are there plans to update this module to work with the newer versions of Jupyter Lab?
thanks
pwsh> conda install -c conda-forge jupyterlab-snippets
added / updated specs:
- jupyterlab-snippets
The following packages will be downloaded:
package | build
---------------------------|-----------------
ipython_genutils-0.2.0 | py_1 21 KB conda-forge
jupyter_client-7.4.9 | pyhd8ed1ab_0 97 KB conda-forge
jupyterlab-3.5.0 | pyhd8ed1ab_0 6.0 MB conda-forge
jupyterlab-snippets-0.4.1 | pyhd8ed1ab_0 19 KB conda-forge
jupyterlab_pygments-0.3.0 | pyhd8ed1ab_0 18 KB conda-forge
nbclassic-1.0.0 | pyhb4ecaf3_1 5.7 MB conda-forge
nbconvert-7.16.3 | hd8ed1ab_0 8 KB conda-forge
nbconvert-pandoc-7.16.3 | hd8ed1ab_0 7 KB conda-forge
notebook-6.5.6 | pyha770c72_0 299 KB conda-forge
pandoc-3.1.12.3 | h57928b3_0 23.7 MB conda-forge
pyzmq-24.0.1 | py311h7b3f143_1 533 KB conda-forge
zeromq-4.3.4 | h0e60522_1 8.9 MB conda-forge
------------------------------------------------------------
Total: 45.3 MB
The following NEW packages will be INSTALLED:
ipython_genutils conda-forge/noarch::ipython_genutils-0.2.0-py_1
jupyterlab-snippe~ conda-forge/noarch::jupyterlab-snippets-0.4.1-pyhd8ed1ab_0
nbclassic conda-forge/noarch::nbclassic-1.0.0-pyhb4ecaf3_1
nbconvert conda-forge/noarch::nbconvert-7.16.3-hd8ed1ab_0
nbconvert-pandoc conda-forge/noarch::nbconvert-pandoc-7.16.3-hd8ed1ab_0
notebook conda-forge/noarch::notebook-6.5.6-pyha770c72_0
pandoc conda-forge/win-64::pandoc-3.1.12.3-h57928b3_0
The following packages will be DOWNGRADED:
jupyter_client 8.6.1-pyhd8ed1ab_0 --> 7.4.9-pyhd8ed1ab_0
jupyterlab 4.1.5-pyhd8ed1ab_0 --> 3.5.0-pyhd8ed1ab_0
jupyterlab_pygmen~ 0.3.0-pyhd8ed1ab_1 --> 0.3.0-pyhd8ed1ab_0
pyzmq 25.1.2-py311h9250fbb_0 --> 24.0.1-py311h7b3f143_1
zeromq 4.3.5-h63175ca_1 --> 4.3.4-h0e60522_1
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