Improve readme, ditch features, don't impl Float
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@@ -1,38 +0,0 @@
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use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
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use fast_fp::{ff32, FF32};
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use rand::{distributions::Standard, thread_rng, Rng};
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fn min(c: &mut Criterion) {
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let mut group = c.benchmark_group("min");
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for count in [2, 8, 32, 1024] {
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group.throughput(Throughput::Elements(count as u64));
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let f32_vals = thread_rng()
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.sample_iter(Standard)
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.take(count)
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.collect::<Vec<f32>>();
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// use the same values for both benchmarks
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let ff32_vals = f32_vals
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.clone()
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.into_iter()
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.map(ff32)
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.collect::<Vec<FF32>>();
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group.bench_with_input(BenchmarkId::new("std::f32", count), &f32_vals, |b, vals| {
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b.iter(|| vals.iter().copied().fold(f32::MAX, |acc, val| acc.min(val)));
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});
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group.bench_with_input(BenchmarkId::new("FF32", count), &ff32_vals, |b, vals| {
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b.iter(|| {
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vals.iter()
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.copied()
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.fold(FF32::MAX, |acc, val| acc.min(val))
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});
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});
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}
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group.finish();
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}
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criterion_group!(benches, min);
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criterion_main!(benches);
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@@ -3,12 +3,12 @@ use criterion::{
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BenchmarkId, Criterion, Throughput,
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};
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use fast_fp::{ff32, ff64, FF32, FF64};
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use ops::{Add, Div, Mul};
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use rand::{
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distributions::{self, Distribution},
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rngs::StdRng,
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Rng, SeedableRng,
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};
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use std::ops::{Add, Div, Mul};
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fn add(c: &mut Criterion) {
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let mut group = c.benchmark_group("add");
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@@ -18,9 +18,9 @@ fn add(c: &mut Criterion) {
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let f64s = distributions::Uniform::<f64>::new(0.0, 1.0);
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// clone the rng for each benched type to keep the generated values identical
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fold(&mut group, "std::f32", f32::add, 0.0, rng.clone(), f32s);
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fold(&mut group, "f32", f32::add, 0.0, rng.clone(), f32s);
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fold(&mut group, "FF32", FF32::add, ff32(0.0), rng.clone(), f32s);
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fold(&mut group, "std::f64", f64::add, 0.0, rng.clone(), f64s);
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fold(&mut group, "f64", f64::add, 0.0, rng.clone(), f64s);
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fold(&mut group, "FF64", FF64::add, ff64(0.0), rng.clone(), f64s);
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}
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@@ -34,9 +34,9 @@ fn mul(c: &mut Criterion) {
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let f64s = distributions::Uniform::<f64>::new(0.9, 1.1);
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// clone the rng for each benched type to keep the generated values identical
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fold(&mut group, "std::f32", f32::mul, 0.0, rng.clone(), f32s);
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fold(&mut group, "f32", f32::mul, 0.0, rng.clone(), f32s);
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fold(&mut group, "FF32", FF32::mul, ff32(0.0), rng.clone(), f32s);
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fold(&mut group, "std::f64", f64::mul, 0.0, rng.clone(), f64s);
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fold(&mut group, "f64", f64::mul, 0.0, rng.clone(), f64s);
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fold(&mut group, "FF64", FF64::mul, ff64(0.0), rng.clone(), f64s);
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}
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@@ -50,9 +50,9 @@ fn div(c: &mut Criterion) {
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let f64s = distributions::Uniform::<f64>::new(0.9, 1.1);
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// clone the rng for each benched type to keep the generated values identical
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fold(&mut group, "std::f32", f32::div, 0.0, rng.clone(), f32s);
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fold(&mut group, "f32", f32::div, 0.0, rng.clone(), f32s);
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fold(&mut group, "FF32", FF32::div, ff32(0.0), rng.clone(), f32s);
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fold(&mut group, "std::f64", f64::div, 0.0, rng.clone(), f64s);
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fold(&mut group, "f64", f64::div, 0.0, rng.clone(), f64s);
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fold(&mut group, "FF64", FF64::div, ff64(0.0), rng.clone(), f64s);
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}
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@@ -64,9 +64,9 @@ fn min(c: &mut Criterion) {
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let f64s = distributions::Uniform::<f64>::new(0.0, 1.0);
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// clone the rng for each benched type to keep the generated values identical
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fold(&mut group, "std::f32", f32::min, 0.0, rng.clone(), f32s);
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fold(&mut group, "f32", f32::min, 0.0, rng.clone(), f32s);
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fold(&mut group, "FF32", FF32::min, ff32(0.0), rng.clone(), f32s);
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fold(&mut group, "std::f64", f64::min, 0.0, rng.clone(), f64s);
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fold(&mut group, "f64", f64::min, 0.0, rng.clone(), f64s);
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fold(&mut group, "FF64", FF64::min, ff64(0.0), rng.clone(), f64s);
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}
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