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fix(bench): matmul/quicksort 去 _compact 标签 + 清重复 CSV #297

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Merged
miaobyte merged 2 commits into from
Sep 11, 2026
+4 −35
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fix(bench): matmul/quicksort 去 _compact 标签 + 清重复 CSV #297

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8de04da
fix(bench): drop stale _compact print labels in matmul/quicksort
miaobyte Sep 11, 2026
d03363d
chore(bench): rm duplicate v0.2.16 CSV (011308Z) — one CSV per version
miaobyte Sep 11, 2026
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4 changes: 2 additions & 2 deletions benchmark/cases/matmul/matmul.kv
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
// 对比点：同一算法的两种 kv 物理形态——map 每次元素访问一次 KV 往返，compact 一次 xv·at/set。
// 方阵阶 N 由 __SCALE__ 占位（O(N^3)，勿改逻辑）
// 期望输出（N=6 时）:
// matmul_compact: check = 82750000
// matmul: check = 82750000
rwfunc test() -> () {
__SCALE__ -> n
A:[__SCALE__,__SCALE__]float64 = []
Expand Down Expand Up @@ -52,7 +52,7 @@ rwfunc test() -> () {
t1 = time·now()
checksum × 1000000.0 -> scaled
int64(scaled) -> out
println("matmul_compact: check =", out)
println("matmul: check =", out)
delta = time·sub(t1, t0)
ns = time/duration·as_nanos(delta)
println("__bench_ns:", ns)
Expand Down
4 changes: 2 additions & 2 deletions benchmark/cases/quicksort/quicksort.kv
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Expand Up @@ -3,7 +3,7 @@
// 对比点：同一算法的两种 kv 物理形态。
// 数据由 LCG 确定生成，规模 N 由 __SCALE__ 占位，run.py 按扫描点替换（勿改逻辑）
// 期望输出（N=64 时）:
// qsort_compact: a0 = 1 amid = 52 alast = 99
// qsort: a0 = 1 amid = 52 alast = 99
rwfunc test() -> () {
__SCALE__ -> n
arr:[__SCALE__]int64 = []
Expand Down Expand Up @@ -61,7 +61,7 @@ rwfunc test() -> () {
arr[0] -> a0
arr[mid] -> am
arr[last] -> al
println("qsort_compact: a0 =", a0, "amid =", am, "alast =", al)
println("qsort: a0 =", a0, "amid =", am, "alast =", al)
delta = time·sub(t1, t0)
ns = time/duration·as_nanos(delta)
println("__bench_ns:", ns)
Expand Down
31 changes: 0 additions & 31 deletions benchmark/results/results-v0.2.16-20260911T011308Z.csv
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