[Snyk] Security upgrade setuptools from 39.0.1 to 65.5.1

[AdamOswald]

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

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • requirements.txt

⚠️ Warning

Werkzeug 2.2.2 requires MarkupSafe, which is not installed.
transformers 4.24.0 requires tokenizers, which is not installed.
transformers 4.24.0 requires numpy, which is not installed.
transformers 4.24.0 requires regex, which is not installed.
torchvision 0.14.0 requires numpy, which is not installed.
torchmetrics 0.10.2 requires numpy, which is not installed.
tensorflow 1.14.0 requires grpcio, which is not installed.
tensorflow 1.14.0 requires numpy, which is not installed.
tensorflow 1.14.0 has requirement tensorboard<1.15.0,>=1.14.0, but you have tensorboard 2.11.0.
tensorflow-hub 0.12.0 requires numpy, which is not installed.
tensorboard 2.11.0 requires grpcio, which is not installed.
tensorboard 2.11.0 requires numpy, which is not installed.
streamlit 1.14.1 requires pyarrow, which is not installed.
streamlit 1.14.1 requires numpy, which is not installed.
streamlit 1.14.1 requires pandas, which is not installed.
streamlit-aggrid 0.3.0 requires pandas, which is not installed.
seaborn 0.12.1 requires numpy, which is not installed.
seaborn 0.12.1 requires pandas, which is not installed.
pytorch-lightning 1.8.1 requires numpy, which is not installed.
python-igraph 0.10.2 requires igraph, which is not installed.
pydeck 0.8.0 requires numpy, which is not installed.
paddlehub 2.3.0 requires pyzmq, which is not installed.
paddlehub 2.3.0 requires visualdl, which is not installed.
paddlehub 2.3.0 requires opencv-python, which is not installed.
paddlehub 2.3.0 requires numpy, which is not installed.
paddlehub 2.3.0 requires paddlenlp, which is not installed.
paddlehub 2.3.0 requires paddle2onnx, which is not installed.
onnxruntime 1.3.0 requires numpy, which is not installed.
onnx 1.12.0 requires numpy, which is not installed.
onnx 1.12.0 has requirement protobuf<=3.20.1,>=3.12.2, but you have protobuf 3.20.3.
nltk 3.7 requires regex, which is not installed.
multiprocess 0.70.14 has requirement dill>=0.3.6, but you have dill 0.3.5.1.
matplotlib 3.5.3 requires numpy, which is not installed.
Keras-Preprocessing 1.1.2 requires numpy, which is not installed.
Keras-Applications 1.0.8 requires numpy, which is not installed.
Jinja2 3.1.2 requires MarkupSafe, which is not installed.
imageio 2.22.4 requires numpy, which is not installed.
h5py 3.7.0 requires numpy, which is not installed.
diffusers 0.7.2 requires numpy, which is not installed.
diffusers 0.7.2 requires regex, which is not installed.
datasets 2.6.1 requires pandas, which is not installed.
datasets 2.6.1 requires pyarrow, which is not installed.
datasets 2.6.1 requires numpy, which is not installed.
datasets 2.6.1 requires aiohttp, which is not installed.
altair 4.2.0 requires numpy, which is not installed.
altair 4.2.0 requires pandas, which is not installed.

Vulnerabilities that will be fixed

By pinning:

Severity	Priority Score (*)	Issue	Upgrade	Breaking Change	Exploit Maturity
	441/1000 Why? Recently disclosed, Has a fix available, CVSS 3.1	Regular Expression Denial of Service (ReDoS) SNYK-PYTHON-SETUPTOOLS-3113904	setuptools: 39.0.1 -> 65.5.1	No	No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

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.

Check the changes in this PR to ensure they won't cause issues with your project.

---

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report

🛠 Adjust project settings

📚 Read more about Snyk's upgrade and patch logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Regular Expression Denial of Service (ReDoS)

[performance-testing-bot]

Unable to locate .performanceTestingBot config file

[mezidia-inspector]

Nice to meet you, @AdamOswald. Thank you for creating a pull request.
There are some tasks for you:

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To close issue send comment "close", to reopen - "reopen", to merge - "merge"

[secure-code-warrior-for-github]

Micro-Learning Topic: Regular expression denial of service (Detected by phrase)

Matched on "Regular Expression Denial of Service"

What is this? (2min video)

Denial of Service (DoS) attacks caused by Regular Expression which causes the system to hang or cause them to work very slowly when attacker sends a well-crafted input(exponentially related to input size).Denial of service attacks significantly degrade the service quality experienced by legitimate users. These attacks introduce large response delays, excessive losses, and service interruptions, resulting in direct impact on availability.

Try a challenge in Secure Code Warrior

Micro-Learning Topic: Denial of service (Detected by phrase)

Matched on "Denial of Service"

The Denial of Service (DoS) attack is focused on making a resource (site, application, server) unavailable for the purpose it was designed. There are many ways to make a service unavailable for legitimate users by manipulating network packets, programming, logical, or resources handling vulnerabilities, among others. Source: https://www.owasp.org/index.php/Denial_of_Service

Try a challenge in Secure Code Warrior

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