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Want to add some tests for this while you're here? I'd suggest:
Ideally just enough testing to get 100% of the diff covered, but at least enough for the overall coverage to not go backwards. I want to slowly increase coverage over time. |
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But yeah, I agree, the dense format is likely more useful. Terribly verbose, but there's really no way around that (apart from using the JSON formatting). |
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Currently,
py list --format csvproduces very sparse output. This PR modifies it to print the 'core' information for each line, alongside the 'expanded' data. This will help with use of the CSV data in e.g. Excel, for sorting & filtering etc.I would be in favour of ensuring the CSV output is always dense, which would require dropping one or both of the alias / run-for list-tables, but these may be useful enough to keep.
Current:
Proposed:
A