| 34 | } |
| 35 | |
| 36 | export function benchWithData<D>(params: BenchWithDataParams<D> & ThisType<{ data: D }>): Metabench<D> { |
| 37 | const bench = metabench(params.name); |
| 38 | // console.log(`Batch size: ${params.batch}`); |
| 39 | |
| 40 | if (params.batch === null) { |
| 41 | const DATA = params.data(); |
| 42 | for (const key in params.benchmarks) { |
| 43 | const _bench = params.benchmarks[key].bind({ |
| 44 | data: DATA, |
| 45 | }) as any; |
| 46 | bench.add(key, _bench); |
| 47 | } |
| 48 | } else { |
| 49 | const DATA = Array.from({ length: params.batch || 1000 }, params.data); |
| 50 | for (const key in params.benchmarks) { |
| 51 | const _bench = params.benchmarks[key].bind({ |
| 52 | data: DATA, |
| 53 | }) as any; |
| 54 | bench.add(key, () => { |
| 55 | for (const d of DATA) { |
| 56 | _bench(d); |
| 57 | } |
| 58 | }); |
| 59 | } |
| 60 | } |
| 61 | |
| 62 | return bench; |
| 63 | } |
| 64 | |
| 65 | abstract class Metabench<D = any> { |
| 66 | abstract run(): void | Promise<void>; |