fix(coding-agent/edit): changed default edit separator to '~' for better reliability
- Switched HL_EDIT_SEP initialization to read from process.env, trimming the value and defaulting to "~" when missing or invalid. - Expanded the separator documentation with benchmark data and reliability notes explaining why "~" was selected as the fallback over other candidates.
This commit is contained in:
can1357
@@ -0,0 +1,191 @@
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#!/usr/bin/env bun
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/**
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* Run `bun run bench:edit --edit-variant hashline` across the cartesian product
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* of `PI_HL_SEP` separator values and models, with a fixed concurrency cap.
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*
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* Each invocation writes its markdown report and a captured stdout/stderr log
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* into `runs/hashline-sep-<timestamp>/`.
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*
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* Usage:
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* bun scripts/bench-edit-hashline-sep.ts
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*/
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import * as fs from "node:fs/promises";
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import * as path from "node:path";
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const SEPARATORS = ["~", "%", "÷", ">", ":"] as const;
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const MODELS = [
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"openrouter/z-ai/glm-4.7:nitro",
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"openai/gpt-5.4-nano",
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"p-anthropic/claude-sonnet-4-6",
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] as const;
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const CONCURRENCY = 3;
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const MAX_TASKS = "12";
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const VARIANT = "hashline";
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const SEP_SLUGS: Record<string, string> = {
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"~": "tilde",
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"%": "pct",
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"÷": "div",
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">": "gt",
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":": "colon",
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};
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function slugifyModel(model: string): string {
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return model.replace(/[^a-zA-Z0-9._-]+/g, "_");
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}
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interface Job {
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sep: string;
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sepSlug: string;
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model: string;
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output: string;
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logPath: string;
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tag: string;
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}
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interface JobResult {
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job: Job;
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exitCode: number | null;
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durationMs: number;
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}
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const repoRoot = path.resolve(import.meta.dir, "..");
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const stamp = new Date().toISOString().replace(/[:.]/g, "-").replace(/Z$/, "Z");
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const runDir = path.join(repoRoot, "runs", `hashline-sep-${stamp}`);
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await fs.mkdir(runDir, { recursive: true });
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const jobs: Job[] = [];
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for (const sep of SEPARATORS) {
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for (const model of MODELS) {
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const sepSlug = SEP_SLUGS[sep] ?? `sep_${sep.charCodeAt(0).toString(16)}`;
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const slug = `${sepSlug}__${slugifyModel(model)}`;
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jobs.push({
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sep,
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sepSlug,
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model,
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output: path.join(runDir, `${slug}.md`),
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logPath: path.join(runDir, `${slug}.log`),
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tag: `[${sepSlug} ${model}]`,
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});
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}
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}
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console.log(`Total runs: ${jobs.length} concurrency: ${CONCURRENCY}`);
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console.log(`Output dir: ${runDir}\n`);
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const results: JobResult[] = [];
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let cursor = 0;
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let finished = 0;
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async function pipeStream(
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stream: ReadableStream<Uint8Array>,
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sink: Bun.FileSink,
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tag: string,
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): Promise<void> {
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const reader = stream.getReader();
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const decoder = new TextDecoder();
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let buf = "";
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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const text = decoder.decode(value, { stream: true });
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sink.write(text);
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buf += text;
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let nl = buf.indexOf("\n");
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while (nl !== -1) {
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const line = buf.slice(0, nl);
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buf = buf.slice(nl + 1);
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console.log(`${tag} ${line}`);
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nl = buf.indexOf("\n");
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}
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}
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const tail = decoder.decode();
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if (tail) {
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sink.write(tail);
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buf += tail;
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}
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if (buf) console.log(`${tag} ${buf}`);
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}
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async function runJob(job: Job): Promise<JobResult> {
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const started = Date.now();
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const sink = Bun.file(job.logPath).writer();
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sink.write(`# cmd: PI_HL_SEP=${JSON.stringify(job.sep)} bun run bench:edit \\\n`);
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sink.write(
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`# --edit-variant ${VARIANT} --model ${job.model} --max-tasks ${MAX_TASKS} --output ${job.output}\n\n`,
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);
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const proc = Bun.spawn({
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cmd: [
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"bun",
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"run",
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"bench:edit",
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"--edit-variant",
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VARIANT,
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"--model",
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job.model,
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"--max-tasks",
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MAX_TASKS,
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"--output",
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job.output,
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],
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cwd: repoRoot,
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env: { ...process.env, PI_HL_SEP: job.sep },
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stdout: "pipe",
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stderr: "pipe",
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});
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await Promise.all([
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pipeStream(proc.stdout as ReadableStream<Uint8Array>, sink, job.tag),
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pipeStream(proc.stderr as ReadableStream<Uint8Array>, sink, job.tag),
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]);
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const exitCode = await proc.exited;
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await sink.end();
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return { job, exitCode, durationMs: Date.now() - started };
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}
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async function worker(workerId: number): Promise<void> {
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while (true) {
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const idx = cursor++;
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if (idx >= jobs.length) return;
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const job = jobs[idx];
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console.log(`${job.tag} starting (worker ${workerId}, ${idx + 1}/${jobs.length})`);
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const result = await runJob(job);
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results.push(result);
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finished++;
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const status = result.exitCode === 0 ? "ok" : `FAIL exit=${result.exitCode}`;
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console.log(
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`${job.tag} ${status} in ${(result.durationMs / 1000).toFixed(1)}s [${finished}/${jobs.length}]`,
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);
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}
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}
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const wallStart = Date.now();
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await Promise.all(Array.from({ length: CONCURRENCY }, (_, i) => worker(i + 1)));
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const wallMs = Date.now() - wallStart;
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console.log("\n=== Summary ===");
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results.sort(
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(a, b) =>
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SEPARATORS.indexOf(a.job.sep as (typeof SEPARATORS)[number]) -
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SEPARATORS.indexOf(b.job.sep as (typeof SEPARATORS)[number]) ||
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MODELS.indexOf(a.job.model as (typeof MODELS)[number]) -
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MODELS.indexOf(b.job.model as (typeof MODELS)[number]),
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);
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for (const r of results) {
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const status = r.exitCode === 0 ? "ok " : `FAIL`;
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console.log(
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`${status} ${r.job.sepSlug.padEnd(7)} ${r.job.model.padEnd(40)} ${(r.durationMs / 1000)
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.toFixed(1)
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.padStart(6)}s ${path.relative(repoRoot, r.job.output)}`,
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);
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}
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console.log(`\nWall time: ${(wallMs / 1000).toFixed(1)}s`);
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const failures = results.filter(r => r.exitCode !== 0);
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if (failures.length > 0) {
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console.log(`${failures.length} job(s) failed`);
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process.exit(1);
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}
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@@ -0,0 +1,463 @@
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#!/usr/bin/env bun
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/**
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* Summarize benchmark runs across (separator × model) by parsing the markdown
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* reports produced by `bun run bench:edit`.
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*
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* Usage:
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* bun scripts/eval-bench-runs.ts runs/hashline-sep-2026-05-03T06-17-44-702Z
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* bun scripts/eval-bench-runs.ts <dir> --format md > eval.md
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* bun scripts/eval-bench-runs.ts <dir> --format csv > eval.csv
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*/
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import * as fs from "node:fs/promises";
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import * as path from "node:path";
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interface ReportRow {
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file: string;
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sepSlug: string;
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model: string;
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totalTasks: number;
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totalRuns: number;
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successfulRuns: number;
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taskSuccessPct: number;
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verifiedPct: number;
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editToolUsagePct: number;
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editSuccessPct: number;
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patchFailurePct: number;
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patchFailures: number;
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patchAttempts: number;
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mutationIntentPct: number;
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autocorrectFreePct: number;
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tasksAllPassing: number;
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tasksFlakyFailing: number;
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timeoutRuns: number;
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inputTokensTotal: number;
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outputTokensTotal: number;
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totalTokens: number;
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inputTokensAvg: number;
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outputTokensAvg: number;
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totalTokensAvg: number;
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durationTotal: string;
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durationAvg: string;
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avgIndentScore: number | null;
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readTotal: number;
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editTotal: number;
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writeTotal: number;
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}
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const SEPARATOR_DISPLAY: Record<string, string> = {
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gt: ">",
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plus: "+",
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div: "÷",
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pipe: "|",
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bslash: "\\",
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tilde: "~",
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pct: "%",
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colon: ":",
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};
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const args = process.argv.slice(2);
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const dirs: string[] = [];
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let format: "table" | "md" | "csv" | "json" = "table";
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let sortBy: "sep" | "model" | "task" | "edit" | "tokens" = "sep";
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let aggregate = false;
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for (let i = 0; i < args.length; i++) {
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const a = args[i];
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if (a === "--format") {
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format = args[++i] as typeof format;
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} else if (a === "--sort") {
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sortBy = args[++i] as typeof sortBy;
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} else if (a === "--aggregate") {
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aggregate = true;
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} else if (!a.startsWith("--")) {
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dirs.push(a);
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}
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}
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if (dirs.length === 0) {
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console.error(
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"usage: bun scripts/eval-bench-runs.ts <runs-dir> [<runs-dir>...] [--aggregate] [--format table|md|csv|json] [--sort sep|model|task|edit|tokens]",
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);
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process.exit(2);
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}
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const resolvedDirs = dirs.map(d => path.resolve(d));
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function parseNumber(text: string): number {
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return Number.parseFloat(text.replace(/,/g, ""));
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}
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function getCell(text: string, label: string): string | null {
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const re = new RegExp(`^\\|\\s*\\*?\\*?${escapeRegex(label)}\\*?\\*?\\s*\\|\\s*\\*?\\*?(.+?)\\*?\\*?\\s*\\|\\s*$`, "m");
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const m = text.match(re);
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return m ? m[1].trim() : null;
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}
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function getRow(text: string, label: string): string[] | null {
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const re = new RegExp(`^\\|\\s*\\*?\\*?${escapeRegex(label)}\\*?\\*?\\s*\\|(.+)\\|\\s*$`, "m");
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const m = text.match(re);
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if (!m) return null;
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return m[1].split("|").map(s => s.trim().replace(/^\*\*|\*\*$/g, ""));
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}
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function escapeRegex(s: string): string {
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return s.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
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}
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function parsePercent(value: string | null): number {
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if (!value) return Number.NaN;
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const m = value.match(/([0-9]+(?:\.[0-9]+)?)\s*%/);
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return m ? Number.parseFloat(m[1]) : Number.NaN;
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}
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function parseRatePair(value: string | null): { numerator: number; denominator: number; pct: number } {
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if (!value) return { numerator: 0, denominator: 0, pct: Number.NaN };
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const m = value.match(/([0-9.]+)\s*%\s*\(\s*([0-9,]+)\s*\/\s*([0-9,]+)\s*\)/);
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if (!m) {
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return { numerator: 0, denominator: 0, pct: parsePercent(value) };
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}
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return {
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pct: Number.parseFloat(m[1]),
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numerator: parseNumber(m[2]),
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denominator: parseNumber(m[3]),
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};
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}
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function parseFraction(value: string | null): { num: number; denom: number } {
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if (!value) return { num: 0, denom: 0 };
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const m = value.match(/([0-9,]+)\s*\/\s*([0-9,]+)/);
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return m ? { num: parseNumber(m[1]), denom: parseNumber(m[2]) } : { num: 0, denom: 0 };
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}
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async function parseReport(file: string): Promise<ReportRow> {
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const text = await Bun.file(file).text();
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const base = path.basename(file, ".md");
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const [sepSlug, ...modelParts] = base.split("__");
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const model = modelParts.join("__").replace(/_/g, "/");
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const totalTasks = Number.parseInt(getCell(text, "Total Tasks") ?? "0", 10);
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const totalRuns = Number.parseInt(getCell(text, "Total Runs") ?? "0", 10);
|
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const successfulRuns = Number.parseInt(getCell(text, "Successful Runs") ?? "0", 10);
|
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const taskSuccessPct = parsePercent(getCell(text, "Task Success Rate"));
|
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const verifiedPct = parsePercent(getCell(text, "Verified Rate"));
|
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const editTool = parseRatePair(getCell(text, "Edit Tool Usage Rate"));
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const editSuccessPct = parsePercent(getCell(text, "Edit Success Rate"));
|
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const patchFailure = parseRatePair(getCell(text, "Patch Failure Rate"));
|
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const mutationIntentPct = parsePercent(getCell(text, "Mutation Intent Match Rate"));
|
||||
const autocorrectFreePct = parsePercent(getCell(text, "Autocorrect-Free Success Rate"));
|
||||
const tasksAllPassing = Number.parseInt(getCell(text, "Tasks All Passing") ?? "0", 10);
|
||||
const tasksFlakyFailing = Number.parseInt(getCell(text, "Tasks Flaky/Failing") ?? "0", 10);
|
||||
const timeoutRuns = Number.parseInt(getCell(text, "Timeout Runs") ?? "0", 10);
|
||||
|
||||
const inRow = getRow(text, "Input Tokens") ?? ["0", "0"];
|
||||
const outRow = getRow(text, "Output Tokens") ?? ["0", "0"];
|
||||
const totalRow = getRow(text, "Total Tokens") ?? ["0", "0"];
|
||||
const durationRow = getRow(text, "Duration") ?? ["", ""];
|
||||
const indentRow = getRow(text, "Avg Indent Score") ?? ["—", "—"];
|
||||
|
||||
const readRow = getRow(text, "Read") ?? ["0", "0"];
|
||||
const editRow = getRow(text, "Edit") ?? ["0", "0"];
|
||||
const writeRow = getRow(text, "Write") ?? ["0", "0"];
|
||||
|
||||
const indentValue = indentRow[1]?.replace(/[*\s—-]/g, "");
|
||||
|
||||
return {
|
||||
file,
|
||||
sepSlug,
|
||||
model,
|
||||
totalTasks,
|
||||
totalRuns,
|
||||
successfulRuns,
|
||||
taskSuccessPct,
|
||||
verifiedPct,
|
||||
editToolUsagePct: editTool.pct,
|
||||
editSuccessPct,
|
||||
patchFailurePct: patchFailure.pct,
|
||||
patchFailures: patchFailure.numerator,
|
||||
patchAttempts: patchFailure.denominator,
|
||||
mutationIntentPct,
|
||||
autocorrectFreePct,
|
||||
tasksAllPassing,
|
||||
tasksFlakyFailing,
|
||||
timeoutRuns,
|
||||
inputTokensTotal: parseNumber(inRow[0]),
|
||||
outputTokensTotal: parseNumber(outRow[0]),
|
||||
totalTokens: parseNumber(totalRow[0]),
|
||||
inputTokensAvg: parseNumber(inRow[1]),
|
||||
outputTokensAvg: parseNumber(outRow[1]),
|
||||
totalTokensAvg: parseNumber(totalRow[1]),
|
||||
durationTotal: durationRow[0] ?? "",
|
||||
durationAvg: durationRow[1] ?? "",
|
||||
avgIndentScore: indentValue && indentValue !== "" ? Number.parseFloat(indentValue) : null,
|
||||
readTotal: parseNumber(readRow[0]),
|
||||
editTotal: parseNumber(editRow[0]),
|
||||
writeTotal: parseNumber(writeRow[0]),
|
||||
};
|
||||
}
|
||||
|
||||
function fmtPct(value: number): string {
|
||||
return Number.isFinite(value) ? `${value.toFixed(1)}%` : "—";
|
||||
}
|
||||
|
||||
function fmtNum(value: number): string {
|
||||
return Number.isFinite(value) ? value.toLocaleString() : "—";
|
||||
}
|
||||
|
||||
function shortModel(model: string): string {
|
||||
const cleaned = model.replace(/^p-anthropic\//, "anthropic/");
|
||||
const segs = cleaned.split("/");
|
||||
return segs[segs.length - 1].replace(/:nitro/, "");
|
||||
}
|
||||
|
||||
function sortRows(rows: ReportRow[], by: typeof sortBy): ReportRow[] {
|
||||
const sepOrder = ["gt", "plus", "div", "pipe", "bslash", "tilde", "pct", "colon"];
|
||||
const modelOrder = (m: string) => {
|
||||
if (m.includes("glm")) return 0;
|
||||
if (m.includes("gpt")) return 1;
|
||||
if (m.includes("claude")) return 2;
|
||||
return 3;
|
||||
};
|
||||
const cmp: Record<typeof sortBy, (a: ReportRow, b: ReportRow) => number> = {
|
||||
sep: (a, b) =>
|
||||
sepOrder.indexOf(a.sepSlug) - sepOrder.indexOf(b.sepSlug) ||
|
||||
modelOrder(a.model) - modelOrder(b.model),
|
||||
model: (a, b) =>
|
||||
modelOrder(a.model) - modelOrder(b.model) ||
|
||||
sepOrder.indexOf(a.sepSlug) - sepOrder.indexOf(b.sepSlug),
|
||||
task: (a, b) => b.taskSuccessPct - a.taskSuccessPct,
|
||||
edit: (a, b) => b.editSuccessPct - a.editSuccessPct,
|
||||
tokens: (a, b) => a.totalTokensAvg - b.totalTokensAvg,
|
||||
};
|
||||
return [...rows].sort(cmp[by]);
|
||||
}
|
||||
|
||||
const entries = (
|
||||
await Promise.all(
|
||||
resolvedDirs.map(async d =>
|
||||
(await fs.readdir(d, { withFileTypes: true }))
|
||||
.filter(e => e.isFile() && e.name.endsWith(".md"))
|
||||
.map(e => path.join(d, e.name)),
|
||||
),
|
||||
)
|
||||
).flat();
|
||||
|
||||
const rawRows = await Promise.all(entries.map(parseReport));
|
||||
const rows = aggregate ? mergeRows(rawRows) : rawRows;
|
||||
const sorted = sortRows(rows, sortBy);
|
||||
|
||||
function mergeRows(input: ReportRow[]): ReportRow[] {
|
||||
const groups = new Map<string, ReportRow[]>();
|
||||
for (const r of input) {
|
||||
const key = `${r.sepSlug}::${r.model}`;
|
||||
const list = groups.get(key);
|
||||
if (list) list.push(r);
|
||||
else groups.set(key, [r]);
|
||||
}
|
||||
const out: ReportRow[] = [];
|
||||
for (const [, list] of groups) {
|
||||
if (list.length === 1) {
|
||||
out.push(list[0]);
|
||||
continue;
|
||||
}
|
||||
const totalRuns = sumField(list, r => r.totalRuns);
|
||||
const successfulRuns = sumField(list, r => r.successfulRuns);
|
||||
const patchFailures = sumField(list, r => r.patchFailures);
|
||||
const patchAttempts = sumField(list, r => r.patchAttempts);
|
||||
const totalTokens = sumField(list, r => r.totalTokens);
|
||||
const inputTokensTotal = sumField(list, r => r.inputTokensTotal);
|
||||
const outputTokensTotal = sumField(list, r => r.outputTokensTotal);
|
||||
const editTotal = sumField(list, r => r.editTotal);
|
||||
const readTotal = sumField(list, r => r.readTotal);
|
||||
const writeTotal = sumField(list, r => r.writeTotal);
|
||||
const ratio = (n: number, d: number) => (d === 0 ? Number.NaN : (n / d) * 100);
|
||||
const indentVals = list.map(r => r.avgIndentScore).filter((v): v is number => v !== null);
|
||||
const indent = indentVals.length === 0 ? null : indentVals.reduce((a, b) => a + b, 0) / indentVals.length;
|
||||
out.push({
|
||||
file: list.map(r => r.file).join(","),
|
||||
sepSlug: list[0].sepSlug,
|
||||
model: list[0].model,
|
||||
totalTasks: sumField(list, r => r.totalTasks),
|
||||
totalRuns,
|
||||
successfulRuns,
|
||||
taskSuccessPct: ratio(successfulRuns, totalRuns),
|
||||
verifiedPct: ratio(successfulRuns, totalRuns),
|
||||
editToolUsagePct: ratio(sumField(list, r => Math.round((r.editToolUsagePct / 100) * r.totalRuns)), totalRuns),
|
||||
editSuccessPct: ratio(patchAttempts - patchFailures, patchAttempts),
|
||||
patchFailurePct: ratio(patchFailures, patchAttempts),
|
||||
patchFailures,
|
||||
patchAttempts,
|
||||
mutationIntentPct: list.reduce((a, r) => a + (Number.isFinite(r.mutationIntentPct) ? r.mutationIntentPct : 0), 0) / list.length,
|
||||
autocorrectFreePct: list.reduce((a, r) => a + (Number.isFinite(r.autocorrectFreePct) ? r.autocorrectFreePct : 0), 0) / list.length,
|
||||
tasksAllPassing: sumField(list, r => r.tasksAllPassing),
|
||||
tasksFlakyFailing: sumField(list, r => r.tasksFlakyFailing),
|
||||
timeoutRuns: sumField(list, r => r.timeoutRuns),
|
||||
inputTokensTotal,
|
||||
outputTokensTotal,
|
||||
totalTokens,
|
||||
inputTokensAvg: totalRuns === 0 ? 0 : Math.round(inputTokensTotal / totalRuns),
|
||||
outputTokensAvg: totalRuns === 0 ? 0 : Math.round(outputTokensTotal / totalRuns),
|
||||
totalTokensAvg: totalRuns === 0 ? 0 : Math.round(totalTokens / totalRuns),
|
||||
durationTotal: list.map(r => r.durationTotal).join(" + "),
|
||||
durationAvg: list.map(r => r.durationAvg).join(" / "),
|
||||
avgIndentScore: indent,
|
||||
readTotal,
|
||||
editTotal,
|
||||
writeTotal,
|
||||
});
|
||||
}
|
||||
return out;
|
||||
}
|
||||
|
||||
function sumField(list: ReportRow[], pick: (r: ReportRow) => number): number {
|
||||
return list.reduce((a, r) => a + (Number.isFinite(pick(r)) ? pick(r) : 0), 0);
|
||||
}
|
||||
|
||||
if (format === "json") {
|
||||
console.log(JSON.stringify(sorted, null, 2));
|
||||
process.exit(0);
|
||||
}
|
||||
|
||||
if (format === "csv") {
|
||||
const cols: Array<keyof ReportRow> = [
|
||||
"sepSlug",
|
||||
"model",
|
||||
"totalRuns",
|
||||
"successfulRuns",
|
||||
"taskSuccessPct",
|
||||
"editToolUsagePct",
|
||||
"editSuccessPct",
|
||||
"patchFailurePct",
|
||||
"patchFailures",
|
||||
"patchAttempts",
|
||||
"mutationIntentPct",
|
||||
"avgIndentScore",
|
||||
"inputTokensTotal",
|
||||
"outputTokensTotal",
|
||||
"totalTokens",
|
||||
"totalTokensAvg",
|
||||
"durationTotal",
|
||||
"durationAvg",
|
||||
"editTotal",
|
||||
"readTotal",
|
||||
];
|
||||
console.log(cols.join(","));
|
||||
for (const r of sorted) {
|
||||
console.log(cols.map(c => JSON.stringify(r[c] ?? "")).join(","));
|
||||
}
|
||||
process.exit(0);
|
||||
}
|
||||
|
||||
const headers = [
|
||||
"sep",
|
||||
"model",
|
||||
"task ✓",
|
||||
"edit ✓",
|
||||
"patch fail",
|
||||
"intent",
|
||||
"in tok/run",
|
||||
"out tok/run",
|
||||
"tok/run",
|
||||
"avg time",
|
||||
"indent",
|
||||
];
|
||||
|
||||
const data: string[][] = sorted.map(r => [
|
||||
SEPARATOR_DISPLAY[r.sepSlug] ?? r.sepSlug,
|
||||
shortModel(r.model),
|
||||
`${fmtPct(r.taskSuccessPct)} (${r.successfulRuns}/${r.totalRuns})`,
|
||||
fmtPct(r.editSuccessPct),
|
||||
`${fmtPct(r.patchFailurePct)} (${r.patchFailures}/${r.patchAttempts})`,
|
||||
fmtPct(r.mutationIntentPct),
|
||||
fmtNum(r.inputTokensAvg),
|
||||
fmtNum(r.outputTokensAvg),
|
||||
fmtNum(r.totalTokensAvg),
|
||||
r.durationAvg,
|
||||
r.avgIndentScore !== null ? r.avgIndentScore.toFixed(2) : "—",
|
||||
]);
|
||||
|
||||
if (format === "md") {
|
||||
const align = headers.map(() => "---");
|
||||
const out: string[] = [];
|
||||
out.push(`| ${headers.join(" | ")} |`);
|
||||
out.push(`|${align.map(a => `${a}`).join("|")}|`);
|
||||
for (const row of data) out.push(`| ${row.join(" | ")} |`);
|
||||
console.log(out.join("\n"));
|
||||
console.log();
|
||||
groupAggregates(sorted, "md");
|
||||
process.exit(0);
|
||||
}
|
||||
|
||||
// Plain text aligned table
|
||||
const widths = headers.map((h, i) => Math.max(h.length, ...data.map(r => r[i].length)));
|
||||
const fmtRow = (row: string[]) => row.map((c, i) => c.padEnd(widths[i])).join(" ");
|
||||
console.log(fmtRow(headers));
|
||||
console.log(widths.map(w => "-".repeat(w)).join(" "));
|
||||
for (const row of data) console.log(fmtRow(row));
|
||||
|
||||
groupAggregates(sorted, "table");
|
||||
|
||||
function groupAggregates(rows: ReportRow[], fmt: "md" | "table"): void {
|
||||
const bySep = new Map<string, ReportRow[]>();
|
||||
const byModel = new Map<string, ReportRow[]>();
|
||||
for (const r of rows) {
|
||||
(bySep.get(r.sepSlug) ?? bySep.set(r.sepSlug, []).get(r.sepSlug)!).push(r);
|
||||
(byModel.get(r.model) ?? byModel.set(r.model, []).get(r.model)!).push(r);
|
||||
}
|
||||
|
||||
const sepHeaders = ["sep", "task ✓ (avg)", "edit ✓ (avg)", "patch fail (sum)", "tok/run (avg)"];
|
||||
const sepData: string[][] = [];
|
||||
for (const [slug, list] of bySep) {
|
||||
sepData.push([
|
||||
SEPARATOR_DISPLAY[slug] ?? slug,
|
||||
fmtPct(avg(list, r => r.taskSuccessPct)),
|
||||
fmtPct(avg(list, r => r.editSuccessPct)),
|
||||
`${sum(list, r => r.patchFailures)}/${sum(list, r => r.patchAttempts)}`,
|
||||
fmtNum(Math.round(avg(list, r => r.totalTokensAvg))),
|
||||
]);
|
||||
}
|
||||
|
||||
const modelHeaders = ["model", "task ✓ (avg)", "edit ✓ (avg)", "patch fail (sum)", "tok/run (avg)"];
|
||||
const modelData: string[][] = [];
|
||||
for (const [model, list] of byModel) {
|
||||
modelData.push([
|
||||
shortModel(model),
|
||||
fmtPct(avg(list, r => r.taskSuccessPct)),
|
||||
fmtPct(avg(list, r => r.editSuccessPct)),
|
||||
`${sum(list, r => r.patchFailures)}/${sum(list, r => r.patchAttempts)}`,
|
||||
fmtNum(Math.round(avg(list, r => r.totalTokensAvg))),
|
||||
]);
|
||||
}
|
||||
|
||||
if (fmt === "md") {
|
||||
console.log("### Per separator (avg across models)\n");
|
||||
printMd(sepHeaders, sepData);
|
||||
console.log("\n### Per model (avg across separators)\n");
|
||||
printMd(modelHeaders, modelData);
|
||||
} else {
|
||||
console.log("\nPer separator (avg across models):");
|
||||
printTable(sepHeaders, sepData);
|
||||
console.log("\nPer model (avg across separators):");
|
||||
printTable(modelHeaders, modelData);
|
||||
}
|
||||
}
|
||||
|
||||
function avg(list: ReportRow[], pick: (r: ReportRow) => number): number {
|
||||
const vals = list.map(pick).filter(Number.isFinite);
|
||||
return vals.length === 0 ? Number.NaN : vals.reduce((a, b) => a + b, 0) / vals.length;
|
||||
}
|
||||
function sum(list: ReportRow[], pick: (r: ReportRow) => number): number {
|
||||
return list.reduce((a, r) => a + (Number.isFinite(pick(r)) ? pick(r) : 0), 0);
|
||||
}
|
||||
function printMd(headers: string[], data: string[][]): void {
|
||||
console.log(`| ${headers.join(" | ")} |`);
|
||||
console.log(`|${headers.map(() => "---").join("|")}|`);
|
||||
for (const r of data) console.log(`| ${r.join(" | ")} |`);
|
||||
}
|
||||
function printTable(headers: string[], data: string[][]): void {
|
||||
const widths = headers.map((h, i) => Math.max(h.length, ...data.map(r => r[i].length)));
|
||||
const row = (r: string[]) => r.map((c, i) => c.padEnd(widths[i])).join(" ");
|
||||
console.log(row(headers));
|
||||
console.log(widths.map(w => "-".repeat(w)).join(" "));
|
||||
for (const r of data) console.log(row(r));
|
||||
}
|
||||
Reference in New Issue
Block a user