IEEE754r floating point conformance tests https://github.com/jrp2014/fptest
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IEEE754 conformance tests for Haskell
This project contains floating point conformance tests in Haskell.
There are two sets of tests so far:
QTrial is the floating point benchmark described in IEEE Standard 754 for Binary Floating-Point Arithmetic by Prof. W. Kahan Download link
You should just be able to
cabal run from the main directory or
runhaskell QTrial.hs from
An extract from the result is:
Principal Tests: Results for Float: r = 4098.0 produces 12.0 and 12.0 sig. bits r = 4098.25 fails: root 0.99989897 isn't at least 1 r = 4097.004 produces 12.0 and 11.999298 sig. bits r =1.6777218e7 is too big for qtrail r =1.6777218e7 is too big for qtrail r =1.677722e7 is too big for qtrail r =9.4906264e7 is too big for qtrail r =9.4906264e7 is too big for qtrail r =2.6843546e8 is too big for qtrail r =2.6843546e8 is too big for qtrail r =2.6843546e8 is too big for qtrail r =2.6843546e8 is too big for qtrail r =2.6843546e8 is too big for qtrail r =4.2949673e9 is too big for qtrail r =4.2949673e9 is too big for qtrail Worst accuracy is 11.999298 sig. bits Results for Double: r = 4098.0 produces Infinity and Infinity sig. bits r = 4098.25 produces Infinity and 53.0 sig. bits r = 4097.00390625 produces Infinity and 53.451178091541244 sig. bits r = 1.6777218e7 produces Infinity and Infinity sig. bits r = 1.677721825e7 produces Infinity and 75.0 sig. bits r = 1.6777219e7 produces Infinity and 71.0 sig. bits r = 9.4906267e7 produces 26.499999994288153 and 26.499999986733027 sig. bits r = 9.490626725e7 fails: root 0.999999995635551 isn't at least 1 r = 2.684354505e8 produces 28.0 and 27.999999919383132 sig. bits r = 2.684354515e8 produces 28.0 and 27.99999993013205 sig. bits r = 2.68435458e8 produces 28.0 and 28.0 sig. bits r = 2.6843545825e8 produces 28.0 and 28.00000000268723 sig. bits r = 2.6843545700000006e8 produces 28.0 and 27.999999989251084 sig. bits r = 4.294967298e9 produces 32.0 and 32.0 sig. bits r = 4.29496729825e9 produces 32.0 and 32.00000000016795 sig. bits Worst accuracy is 26.499999986733027 sig. bits
This is fine for the Float cases, but the test illustrates an issue with the Double case.
FPTest is being refactored so that it can be run in cabal
FPTest runs a sequence of floating point test vectors generated by IBM's FPGen Floating-Point Test Generator.
This is done in two ways:
- By interpreting the tests
- By translating the tests into a Haskell HUnit test suite script that can just be run using
The IBM test vectors are contained in the
test_suite directory, but you will want to get the latest version from the link above.
You will, most likely, want the binary tests unless you have a decimal machine. Only 32-bit float tests are provided (not 64-bit double ones).
The test suite that IBM supplies actually stretches the spec somewhat. For example, it also uses lower case versions of some specification elements.