Gosit is a posit library for go. There is currently one other go implementation but this one has been archived and wont receive updates.
Posits are a representation of real numbers that tries to compete with floating point numbers. See the wikipedia page and the paper if you want to learn more about posits.
This library has been moved to https://gitlab.com/amfiremage/gosit. This repository will remain as it is now, with most of the most essential operations working.
Gosit is fuzzed against goposit, the fuzzing finds a case where the bits returned form this library are diferent from goposit, it fails. As of the initial commit all functions have been fuzzed at least 1 hout, or around 26000 cases. This is not a lot and there might be some edge cases it hasnt found yet, but it gives a good indication that in general this library does the right thing. Only ES=2 has been fuzzed, mostly because this is the ES used in softposit for julia and rust, allowing me to easily verify and debug with a maintained version of softposit. Other values will be tested later on.
Gosit currently only supports 32 bit posits, this should be enough for most use cases. 64 bit, and probably some smaller sizes, are on the roadmap. Currently only es=2 is fuzzed as states in the Testing section.
p := gosit.Newposit32FromBits(0b0_001_10_11_10000011_01111110_10010111)
q := gosit.Newposit32FromBits(0b0_000001_11_0000001_00000111_10100011)
fmt.Println(gosit.Getfloat(p), "*", gosit.Getfloat(q), "=", gosit.Getfloat(gosit.MulPositSameES(p,q)))Currently I only benchmark against the slow goposit, since its the only other go library for posits.
All tests are ran with the exect same bench cases to eliminate favouring one library over another because of coincidence. These are rotated out every iteration. No other code is ran besides getting the case from an array, and running the corresponding function on it. All benches ware using ES=2
go test --run=X --bench=. -benchtime 30s
BenchmarkAddSlow-10 1000000000 18.32 ns/op
BenchmarkAddSlowGoposit-10 9228086 3922 ns/op
BenchmarkMulSlow-10 1000000000 17.06 ns/op
BenchmarkMulSlowGoposit-10 8928680 4118 ns/op
BenchmarkDivSlow-10 1000000000 22.38 ns/op
BenchmarkDivSlowGoposit-10 8428436 4151 ns/op
BenchmarkSqrtSlow-10 1000000000 32.50 ns/op
No direct comparisons exist, but taking some averages from cargo bench on my machine:
| Operation | ns/op on my machine |
|---|---|
| Add | 7.5ns/op |
| - | 6.9ns/op |
| * | 6.3ns/op |
| / | 9.8ns/op |