[Autoloop: perf-comparison] Iteration 391: Add bootstrap benchmark pair

Run: https://github.com/githubnext/tsb/actions/runs/29062236162

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Author: github-actions[bot]

benchmarks/pandas/bench_bootstrap.py

@@ -0,0 +1,43 @@
+"""Benchmark: bootstrap confidence interval on 1000-element array
+Uses percentile method with 500 resamples for a realistic workload.
+"""
+import json
+import time
+import numpy as np
+
+N = 1_000
+WARMUP = 3
+ITERATIONS = 10
+
+rng = np.random.default_rng(42)
+data = np.sin(np.arange(N) * 0.01) * 50 + 100
+
+
+def bootstrap_ci(arr, stat_fn, n_resamples=500, seed=42):
+    """Percentile bootstrap CI."""
+    rng_local = np.random.default_rng(seed)
+    stats = np.empty(n_resamples)
+    for i in range(n_resamples):
+        resample = rng_local.choice(arr, size=len(arr), replace=True)
+        stats[i] = stat_fn(resample)
+    return np.percentile(stats, [2.5, 97.5])
+
+
+def mean_fn(xs):
+    return np.mean(xs)
+
+
+for _ in range(WARMUP):
+    bootstrap_ci(data, mean_fn, n_resamples=500)
+
+start = time.perf_counter()
+for _ in range(ITERATIONS):
+    bootstrap_ci(data, mean_fn, n_resamples=500)
+total = (time.perf_counter() - start) * 1000
+
+print(json.dumps({
+    "function": "bootstrap",
+    "mean_ms": total / ITERATIONS,
+    "iterations": ITERATIONS,
+    "total_ms": total,
+}))

benchmarks/tsb/bench_bootstrap.ts

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+/**
+ * Benchmark: bootstrap confidence interval on 1000-element array
+ * Uses percentile method with 500 resamples for a realistic workload.
+ */
+import { bootstrap1 } from "../../src/index.js";
+
+const N = 1_000;
+const WARMUP = 3;
+const ITERATIONS = 10;
+
+const data = Float64Array.from({ length: N }, (_, i) => Math.sin(i * 0.01) * 50 + 100);
+const arr = Array.from(data);
+
+const mean = (xs: readonly number[]) => xs.reduce((a, b) => a + b, 0) / xs.length;
+
+for (let i = 0; i < WARMUP; i++) {
+  bootstrap1(arr, mean, { n: 500, method: "percentile", seed: 42 });
+}
+
+const start = performance.now();
+for (let i = 0; i < ITERATIONS; i++) {
+  bootstrap1(arr, mean, { n: 500, method: "percentile", seed: 42 });
+}
+const total = performance.now() - start;
+
+console.log(
+  JSON.stringify({
+    function: "bootstrap",
+    mean_ms: total / ITERATIONS,
+    iterations: ITERATIONS,
+    total_ms: total,
+  }),
+);