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[Solved] Deprecation warning from Jupyter: “`should_run_async` will not call `transform_cell` automatically in the future”

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Deprecation warning from Jupyter: “should_run_async will not call transform_cell automatically in the future” in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Deprecation warning from Jupyter: “should_run_async will not call transform_cell automatically in the future” Error Occurs?

Today I get the following error Deprecation warning from Jupyter: “should_run_async will not call transform_cell automatically in the future” in Python.

How To Solve Deprecation warning from Jupyter: “should_run_async will not call transform_cell automatically in the future” Error ?

  1. How To Solve Deprecation warning from Jupyter: “should_run_async will not call transform_cell automatically in the future” Error ?

    To Solve Deprecation warning from Jupyter: “should_run_async will not call transform_cell automatically in the future” Error Same here with python==3.9.2, ipykernel==5.5.0 and ipython==7.21.0 in a conda environment defaulting to conda-forge repositories. Upgrading ipykernel to the latest 5.5.3 doesn't solve anything.

Solution 1

Upgrading ipykernel 5.3.4 seems to have fixed it for me.

pip install --upgrade ipykernel

Make sure to restart your Juptyer server afterwards.

I came up with this by inserting a breakpoint() at /ipkernel.py:287 and using w to see what was making the call. If this fix doesn’t work for you, worth checking what’s making the call in your case.

Solution 2

Same here with ipykernel==5.3.4 and ipython==7.19.0. Downgrading to ipython 7.10.0 fixed the problem.

pip install install ipython==7.10.0

Optionally for suppressing DeprecationWarnings:

import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)

Solution 3

Same here with python==3.9.2, ipykernel==5.5.0 and ipython==7.21.0 in a conda environment defaulting to conda-forge repositories. Upgrading ipykernel to the latest 5.5.3 doesn’t solve anything.

It is currently linked to this ipykernel issue.

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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