I've always wondered the best way to write tests for "This event should happen x% of the time."
Obviously we could re-run the test 100 times and see if it happened close to x%, but not only is that inefficient, how close is "close"? You'll get a bell curve (or similar), and most of the time you'll be close to x but sometimes you'll be legitimately far away from x and your test will fail.
You could start from a known seed, but then are you really testing the percentages, or just checking that the RNG gives you the same output for the same seed, which you already know?
I've always wondered the best way to write tests for "This event should happen x% of the time."
Obviously we could re-run the test 100 times and see if it happened close to x%, but not only is that inefficient, how close is "close"? You'll get a bell curve (or similar), and most of the time you'll be close to x but sometimes you'll be legitimately far away from x and your test will fail.
You could start from a known seed, but then are you really testing the percentages, or just checking that the RNG gives you the same output for the same seed, which you already know?