Add global test for NaturalLanguage primitives

[sbadithe]

• As per discussion in Fix backtracking in NumberOfWordsInQuotes primitive #2413, this adds a test that checks strings that have caused errors in the past, as well as randomized test inputs to make sure none of our NaturalLanguage primitives hang or fail on generated input.
• Adds get_natural_language_primitives and refactors get_transform_primitives and get_aggregation_primitives utility functions

[codecov]

Codecov Report

Merging #2429 (b7eb0e4) into main (77dab52) will decrease coverage by 0.00%.
The diff coverage is 97.05%.

@@            Coverage Diff             @@
##             main    #2429      +/-   ##
==========================================
- Coverage   99.41%   99.40%   -0.01%     
==========================================
  Files         340      341       +1     
  Lines       20870    20890      +20     
==========================================
+ Hits        20747    20766      +19     
- Misses        123      124       +1     

Impacted Files	Coverage Δ
featuretools/primitives/utils.py	98.95% <95.00%> (-0.51%)	⬇️
featuretools/tests/conftest.py	100.00% <100.00%> (ø)
...ests/test_natural_language_primitives_terminate.py	100.00% <100.00%> (ø)

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[ozzieD]

I wonder why code cov is looking through test files?

[rwedge]

I wonder why code cov is looking through test files?

Codecov is configured to check our test files as well

[sbadithe]

@sbadithe Did you look at pytest-timeout as an option here? Could we use this instead of trying to implement this manually? The downside is that we would need to add another testing dependency.

https://github.com/pytest-dev/pytest-timeout

Is it ok if it hasn't been updated since January 2022 on pypi?

[thehomebrewnerd]

Is it ok if it hasn't been updated since January 2022 on pypi?

@sbadithe In my opinion, yes. This is a simple library, so I wouldn't expect many updates. Also, this is a test only dependency, so we can always replace in the future if needed and it won't break FT. Finally, it is maintained by the pytest folks. All those factors combined make it a low risk add IMHO.