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1073858c72
Check our functions against `musl-math-sys`. This is similar to the existing musl tests that go through binary serialization, but works on more platforms.
53 lines
1.7 KiB
Rust
53 lines
1.7 KiB
Rust
//! Compare our implementations with the result of musl functions, as provided by `musl-math-sys`.
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//!
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//! Currently this only tests randomized inputs. In the future this may be improved to test edge
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//! cases or run exhaustive tests.
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//!
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//! Note that musl functions do not always provide 0.5ULP rounding, so our functions can do better
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//! than these results.
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// There are some targets we can't build musl for
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#![cfg(feature = "build-musl")]
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use libm_test::gen::random;
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use libm_test::{CheckBasis, CheckCtx, CheckOutput, TupleCall, musl_allowed_ulp};
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use musl_math_sys as musl;
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macro_rules! musl_rand_tests {
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(
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fn_name: $fn_name:ident,
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CFn: $CFn:ty,
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CArgs: $CArgs:ty,
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CRet: $CRet:ty,
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RustFn: $RustFn:ty,
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RustArgs: $RustArgs:ty,
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RustRet: $RustRet:ty,
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attrs: [$($meta:meta)*]
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) => { paste::paste! {
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#[test]
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$(#[$meta])*
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fn [< musl_random_ $fn_name >]() {
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let fname = stringify!($fn_name);
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let ulp = musl_allowed_ulp(fname);
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let cases = random::get_test_cases::<$RustArgs>(fname);
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let ctx = CheckCtx::new(ulp, fname, CheckBasis::Musl);
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for input in cases {
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let musl_res = input.call(musl::$fn_name as $CFn);
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let crate_res = input.call(libm::$fn_name as $RustFn);
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crate_res.validate(musl_res, input, &ctx).unwrap();
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}
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}
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} };
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}
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libm_macros::for_each_function! {
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callback: musl_rand_tests,
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skip: [],
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attributes: [
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#[cfg_attr(x86_no_sse, ignore)] // FIXME(correctness): wrong result on i586
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[exp10, exp10f, exp2, exp2f, rint]
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],
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}
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