Upgrade colab base image to 20260917-060051

[tifftoff]

Base image

• GPU and CPU images now use release-colab-external-images_20260917-060051_RC00 (previously 20260716-060051).
• The new base image moves from Python 3.12 to Python 3.13.

Dockerfile.tmpl

• Python paths: PACKAGE_PATH and the sitecustomize.py destination now point to python3.13 instead of python3.12.
• Stopped installing the keras_internal.py patch: tensorflow_decision_forests is no longer in the base image, and its latest release (1.12.0) has no cp313 wheel, so the tensorflow_decision_forests/keras/ directory it patched doesn't exist.
• vtk apt dependency: replaced libgl1-mesa-glx, which newer Ubuntu no longer provides, with libgl1 and libglx-mesa0.

kaggle_requirements.txt

Removed

• tensorflow-io: the last release (0.37.1, July 2024) requires python<3.13, has no cp313 wheels, and the project is unmaintained.
• The jupyter-lsp==1.5.1 pin (b/276358430): on 3.13 it keeps jupyterlab on 3.x, which pulls in jupyter-ydoc 0.2.5 and then y-py 0.6.2. y-py has no cp313 wheel and its sdist no longer builds. jupyterlab 4.x uses pycrdt instead, so jupyter-lsp is now unpinned.
• The fastcore<2 pin and the python-fasthtml<0.14.6 pin that only existed because of it (b/545164527).

Added or changed

• opencv-python<5, opencv-python-headless<5 and opencv-contrib-python<5: the base image mixes OpenCV versions (opencv-python/-headless at 5.0.0.93, opencv-contrib-python at 4.14.0.94). All three install into the same cv2/ package and overwrite each other, and OpenCV 5.0 drops long-standing APIs such as cv2.CascadeClassifier. Holding all three on 4.x keeps cv2 consistent and backward compatible.
• flax is now flax>=0.12.
• Added universal-pathlib because Pyxis (#1402, merged Sep 18) added universal-pathlib to kaggle-environments' pyproject.toml.

b/493600019

[rosbo]

The build is failing. Can you re-request a review once the build issues have been fixed. Thank you

[rosbo]

Thanks!

[rosbo]

Can you test if the latest jupyter lsp is freezing up the jupyter server: https://g3doc.corp.google.com/cloud/kaggle/kernels/g3doc/shared_docker_graph.md?cl=head#step-1-test-in-kaggle-kernels-ui