[Snyk] Fix for 43 vulnerabilities

[madisonmay]

Snyk has created this PR to fix 43 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• requirements.txt

⚠️ Warning

otebook-shim 0.2.2 requires jupyter-server, which is not installed.
nbclassic 0.5.1 requires jupyter-server, which is not installed.
nbclassic 0.5.1 requires jupyter-server, which is not installed.
ipywidgets 8.1.3 has requirement widgetsnbextension~=4.0.11, but you have widgetsnbextension 4.0.5.
ipywidgets 8.1.3 has requirement comm>=0.1.3, but you have comm 0.1.2.
indico-toolkit 2.0.2 has requirement tqdm==4.50.0, but you have tqdm 4.66.3.
indico-client 5.1.4 requires pandas, which is not installed.
indico-client 5.1.4 has requirement requests==2.22.0, but you have requests 2.31.0.
indico-client 5.1.4 has requirement setuptools>=41.4.0, but you have setuptools 40.5.0.
indico-client 5.1.4 has requirement importlib-metadata~=1.0, but you have importlib-metadata 6.7.0.

---

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.
• Snyk has automatically assigned this pull request, set who gets assigned.
• 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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---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Remote Code Execution (RCE)
🦉 Directory Traversal
🦉 Resource Exhaustion
🦉 More lessons are available in Snyk Learn

[//]: # 'snyk:metadata:{"customTemplate":{"variablesUsed":[],"fieldsUsed":[]},"dependencies":[{"name":"anyio","from":"3.6.2","to":"4.4.0"},{"name":"certifi","from":"2022.12.7","to":"2024.7.4"},{"name":"gitpython","from":"3.1.31","to":"3.1.41"},{"name":"idna","from":"2.8","to":"3.7"},{"name":"ipython","from":"7.34.0","to":"8.10.0"},{"name":"jinja2","from":"3.1.2","to":"3.1.4"},{"name":"jupyter-server","from":"1.24.0","to":"2.14.1"},{"name":"nltk","from":"3.8.1","to":"3.8.2"},{"name":"numpy","from":"1.21.3","to":"1.22.2"},{"name":"opencv-python","from":"4.7.0.68","to":"4.8.1.78"},{"name":"pillow","from":"9.4.0","to":"10.3.0"},{"name":"pygments","from":"2.14.0","to":"2.15.0"},{"name":"requests","from":"2.22.0","to":"2.32.2"},{"name":"sentry-sdk","from":"1.9.0","to":"2.8.0"},{"name":"setuptools","from":"68.0.0","to":"70.0.0"},{"name":"tornado","from":"6.2","to":"6.4.1"},{"name":"tqdm","from":"4.50.0","to":"4.66.3"},{"name":"urllib3","from":"1.25.11","to":"1.26.19"},{"name":"zipp","from":"3.15.0","to":"3.19.1"}],"env":"prod","issuesToFix":[{"exploit_maturity":"No 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