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[Snyk] Security upgrade urllib3 from 2.0.7 to 2.2.2 #44

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@qyl2021 qyl2021 commented Jun 18, 2024

This PR was automatically created by Snyk using the credentials of a real user.


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Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

  • docker/jupyter/requirements.txt
⚠️ Warning ``` tensorflow 2.11.0 requires tensorflow-io-gcs-filesystem, which is not installed. tensorflow-metadata 1.12.0 has requirement absl-py<2.0.0,>=0.9, but you have absl-py 2.1.0. tensorflow-hub 0.16.1 requires tf-keras, which is not installed. tensorboard 2.11.2 has requirement google-auth-oauthlib<0.5,>=0.4.1, but you have google-auth-oauthlib 1.2.0. tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you have setuptools 40.5.0. tensor2tensor 1.15.7 requires scipy, which is not installed. optax 0.1.4 requires jaxlib, which is not installed. notebook 6.5.7 requires pyzmq, which is not installed. kfac 0.2.4 has requirement tensorflow-probability==0.8, but you have tensorflow-probability 0.7.0. kfac 0.2.4 has requirement h5py<3, but you have h5py 3.8.0. jupyter-server 1.24.0 requires pyzmq, which is not installed. jupyter-client 7.4.9 requires pyzmq, which is not installed. jax 0.3.25 requires scipy, which is not installed. ipykernel 6.16.2 requires pyzmq, which is not installed. flax 0.7.3 requires orbax-checkpoint, which is not installed. flax 0.7.3 has requirement jax>=0.4.2, but you have jax 0.3.25. dopamine-rl 4.0.9 requires jaxlib, which is not installed. dopamine-rl 4.0.9 has requirement gym<=0.25.2, but you have gym 0.26.2. dopamine-rl 4.0.9 has requirement tensorflow-probability>=0.13.0, but you have tensorflow-probability 0.7.0. chex 0.1.5 requires jaxlib, which is not installed.
</details>





---

> [!IMPORTANT]
>
> - Check the changes in this PR to ensure they won't cause issues with your project.
> - Max score is 1000. Note that the real score may have changed since the PR was raised.
> - This PR was automatically created by Snyk using the credentials of a real user.
> - Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

---

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The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-URLLIB3-7267250
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