[Snyk] Security upgrade nltk from 3.6.3 to 3.10.0

[sestinj]

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

Snyk changed the following file(s):

• manual-testing-sandbox/requirements.txt

⚠️ Warning

typer 0.3.2 has requirement click<7.2.0,>=7.1.1, but you have click 8.1.8.
thinc 8.0.17 requires murmurhash, which is not installed.
thinc 8.0.17 requires preshed, which is not installed.
thinc 8.0.17 requires cymem, which is not installed.
spacy 3.1.2 requires cymem, which is not installed.
spacy 3.1.2 requires preshed, which is not installed.
spacy 3.1.2 requires murmurhash, which is not installed.
qtconsole 5.4.4 requires pyzmq, which is not installed.
notebook 6.5.7 requires pyzmq, which is not installed.
jupyter-server 1.24.0 requires pyzmq, which is not installed.
jupyter-console 6.6.3 requires pyzmq, which is not installed.
jupyter-client 7.4.9 requires pyzmq, which is not installed.
ipykernel 6.16.2 requires pyzmq, which is not installed.
exceptiongroup 1.3.1 has requirement typing-extensions>=4.6.0; python_version < "3.13", but you have typing-extensions 3.10.0.2.

Breaking Change Risk

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[sestinj]

This upgrade of NLTK from version 3.6.3 to 3.10.0 introduces several changes that require verification, including a drop in Python version support and a behavioral change in WordNet.

Key Changes:

• Python Version: Support for Python 3.6 was dropped in NLTK version 3.7. [1, 3] Projects running on Python 3.6 must be upgraded to a supported version (Python 3.7+). [6]
• WordNet Sorting: Starting with version 3.9, WordNet functions that return synsets and relations no longer sort them by default. [1, 3] Code that relies on the previously sorted output must be updated to explicitly sort the results.
• METEOR Evaluation: In version 3.6.5, the METEOR evaluation function was changed to require pre-tokenized input. [1]

Recommendation:
Verify that your project is running on Python 3.7 or newer. Review any code that uses WordNet to ensure that the change in default sorting does not affect its behavior. If you use the METEOR evaluation module, confirm that your inputs are pre-tokenized.

Source: NLTK Release Notes

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