tiny.bench.computeSampleStatsWithBootstrap

1pub fn sampleWithBootstrap(2    storage: *storage_mod.Storage,3    samples: []const u64,4    bootstrap: model.BootstrapConfig,5) model.ComputeError!model.SampleStats {6    const regions = try storage.acquire(samples.len, bootstrap);7    defer storage.reset();8    @memcpy(regions.sorted, samples);9    std.mem.sort(u64, regions.sorted, {}, lessThanU64);1011    var total: u128 = 0;12    for (samples) |value| total += value;13    return .{14        .min_ns = regions.sorted[0],15        .max_ns = regions.sorted[regions.sorted.len - 1],16        .mean_ns = @as(f64, @floatFromInt(total)) /17            @as(f64, @floatFromInt(samples.len)),18        .median_ns = percentile(regions.sorted, 50),19        .p75_ns = percentile(regions.sorted, 75),20        .p95_ns = percentile(regions.sorted, 95),21        .p99_ns = percentile(regions.sorted, 99),22        .total_ns = if (total > std.math.maxInt(u64)) std.math.maxInt(u64) else @intCast(total),23        .confidence_intervals = bootstrapConfidenceIntervals(regions, bootstrap),24    };25}

1pub const computeSampleStatsWithBootstrap = stats.computeSampleStatsWithBootstrap;