Smoke tests for statistical function output
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start by locating the existing tests or entry points for mean(), std(), and var(), then inspect how other statistical outputs are checked. Define basic smoke coverage for these three functions using either specific valued arrays or bounded comparisons, and confirm the test suite passes.
Written by the indexing model from the issue text.
Description
Right now no output is tested at all for mean(), std(), and var(). But it would be nice to have some very basic smoke tests to ensure that at least the basic functionality is working.
Not sure what this should look like. If hypothesis is too hard we could just skip hypothesis and write some specific value tests for some nice valued arrays. Although it should be possible to just limit to values within reasonable ranges (to avoid floating-point issues) and check just the first few digits.
- Dominant language
- Python
- Stars
- 74
- Forks
- 54
- Avg merge
- 4h 35m
- Merged PRs (30d)
- 4
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