Hi, Starting today, when I try to execute AlphaFold calculations using Google Colab, I get the message: ====== ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. kapre 0.3.7 requires tensorflow>=2.0.0, which is not installed. xarray-einstats 0.2.2 requires numpy>=1.21, but you have numpy 1.19.5 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible. albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible. Successfully installed absl-py-0.13.0 biopython-1.79 chex-0.0.7 dm-haiku-0.0.4 dm-tree-0.1.6 docker-5.0.0 flatbuffers-1.12 gast-0.4.0 grpcio-1.34.1 immutabledict-2.0.0 jax-0.2.14 keras-nightly-2.5.0.dev2021032900 ml-collections-0.1.0 numpy-1.19.5 pandas-1.3.4 scipy-1.7.0 tensorflow-cpu-2.5.0 tensorflow-estimator-2.5.0 typing-extensions-3.7.4.3 websocket-client-1.3.3 wrapt-1.12.1 + pip3 install --upgrade jaxlib==0.3.2+cuda11.cudnn82 -f https://storage.googleapis.com/jax-releases/jax_releases.html Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/ Looking in links: https://storage.googleapis.com/jax-releases/jax_releases.html ERROR: Could not find a version that satisfies the requirement jaxlib==0.3.2+cuda11.cudnn82 (from versions: 0.1.23, 0.1.29, 0.1.32, 0.1.40, 0.1.41, 0.1.42, 0.1.43, 0.1.44, 0.1.46, 0.1.50, 0.1.51, 0.1.52, 0.1.55, 0.1.56, 0.1.57, 0.1.58, 0.1.59, 0.1.60, 0.1.61, 0.1.62, 0.1.63, 0.1.64, 0.1.65, 0.1.66, 0.1.67, 0.1.68, 0.1.69, 0.1.70, 0.1.71, 0.1.72, 0.1.73, 0.1.74, 0.1.75, 0.1.76, 0.3.0, 0.3.2, 0.3.5, 0.3.7, 0.3.8, 0.3.10) ERROR: No matching distribution found for jaxlib==0.3.2+cuda11.cudnn82 ======= The error seems to be obvious but, can someone point me towards a solution? Thanks Roberto