Fix Python version compatibility for TensorFlow dependency constraints

[Shahila-Shifani]

Summary

Updated Python version constraints to ensure compatibility with TensorFlow 2.15.1 and dependent packages.

Changes

• Adjusted Python range from >=3.10,<3.12 to >=3.11,<3.13
• Regenerated Poetry lock file using Python 3.11 environment

Reason

Attempted upgrade to Python 3.13, but dependency resolution failed due to tensorflow and tensorflow-io-gcs-filesystem not supporting Python 3.13.

This change ensures the project remains installable while staying aligned with supported Python versions.

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[Shahila-Shifani]

Hi Michael Rossetti ( @s2t2 ),

I’ve updated the PR to fix Python version compatibility for TensorFlow 2.15.1 (now constrained to Python <3.13).
It has been tested locally with Python 3.11 and poetry lock runs successfully.

Could you please review and approve the workflow when convenient?
Fixes #147

[s2t2]

Thank you.

It looks like we may need to update the GitHub actions workflows as well to test against the newer versions.

We may also need to relax the python version check a bit to ensure we can test against a few recent Python versions.

https://github.com/google/sbsim/actions/runs/25878379547/job/76248048149?pr=167

Notice:  A new release of pip is available: 23.0.1 -> 26.1.1
Notice:  To update, run: pip install --upgrade pip

Current Python version (3.10.15) is not allowed by the project (>=3.11,<3.13).
Please change python executable via the "env use" command.
Error: Process completed with exit code 1.