Message333443
| Author | Petter S |
|---|---|
| Recipients | FR4NKESTI3N, Petter S, lisroach, xtreak |
| Date | 2019-01-11.08:32:44 |
| SpamBayes Score | -1.0 |
| Marked as misclassified | Yes |
| Message-id | <1547195564.24.0.116430370553.issue35656@roundup.psfhosted.org> |
| In-reply-to |
| Content | |
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I am of the opposite opinion. :-) > if I know roughly what the float should be why would I not want to test it for exactness? When testing algorithms, it is often the case that the answer should be mathematically exactly 2, but due to floating-point inexactness it becomes, say, 1.9999999997 in practice. If I then test for exactly 1.9999999997 the test becomes very brittle and sensitive for e.g. order of multiplications. Testing floating point numbers with a relative error is essential in many application. |
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| History | |||
|---|---|---|---|
| Date | User | Action | Args |
| 2019-01-11 08:32:45 | Petter S | set | recipients: + Petter S, lisroach, xtreak, FR4NKESTI3N |
| 2019-01-11 08:32:44 | Petter S | set | messageid: <1547195564.24.0.116430370553.issue35656@roundup.psfhosted.org> |
| 2019-01-11 08:32:44 | Petter S | link | issue35656 messages |
| 2019-01-11 08:32:44 | Petter S | create | |