Bump Jax from 0.4.20 to 0.4.26, Torch from 2.2.1 to 2.3.0, Transformers from 4.39.3 to 4.40.1, Pandas from 2.2.1 to 2.2.2 & Matplotlib from 3.8.3 to 3.8.4, Uvicorn from 0.27.1 to 0.29.0 & Fastapi from 0.110.0 to 0.110.3

[Smartappli]

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[madhavajay]

Hi @Smartappli thanks for the PRs. We actually have some manual testing in Google Colab, we need to do before we can bump some packages.

Sometimes these small lib changes cause incompatibility so I am hesitant to merge these without additional testing.

You can do this by running this in Google Colab and then importing the library and making sure things work:

!pip install 'git+https://github.com/YOURFORK/PySyft@YOUR_BRANCH#egg=syft&subdirectory=packages/syft'

Let me know how you go and report back.
Same would apply to the other PRs. You could combine these into one and test it together.

#8684
#8688

[Smartappli]

Hi @Smartappli thanks for the PRs. We actually have some manual testing in Google Colab, we need to do before we can bump some packages.

Sometimes these small lib changes cause incompatibility so I am hesitant to merge these without additional testing.

You can do this by running this in Google Colab and then importing the library and making sure things work:

!pip install 'git+https://github.com/YOURFORK/PySyft@YOUR_BRANCH#egg=syft&subdirectory=packages/syft'

Let me know how you go and report back. Same would apply to the other PRs. You could combine these into one and test it together.

#8684 #8688

Hi @madhavajay

Thank you for your advising.

I combined all the PRs into one and tested the installation on google colab as requested. It installs without error :)

[madhavajay]

@Smartappli looks like the versions we install for [matplotlib,mpl_toolkits,numpy,psutil] are causing incompatibility requiring a session restart.

The best way to handle this is to figure out what versions Colab has before we install and then add them to a lower range in setup.cfg so that Colab is satisfied while people who install syft in a seperate fresh virtualenv elsewhere will get the latest versions.

Can you see if we can fix this?

[Smartappli]

@madhavajay done

[Smartappli]

@madhavajay I have separated numpy into another PR as requested.

[Smartappli]

@madhavajay Why not use hypercorn instead of uvicorn to benefit from the double stack of ipv4 and ipv6?