[Autoloop: perf-comparison] Iteration 379: add benchmark pair for add_sub_mul_div (arithmetic ops)

Run: https://github.com/githubnext/tsb/actions/runs/28343148408

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

Author: github-actions[bot]

benchmarks/pandas/bench_add_sub_mul_div.py

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+"""Benchmark: Series.add/sub/mul/div — element-wise arithmetic."""
+import json
+import time
+
+import pandas as pd
+
+SIZE = 100_000
+WARMUP = 5
+ITERATIONS = 50
+
+data = [float(i) for i in range(SIZE)]
+s = pd.Series(data)
+s2 = pd.Series([v * 2 for v in data])
+
+for _ in range(WARMUP):
+    s.add(10)
+    s.sub(5)
+    s.mul(3)
+    s.div(2)
+    s.add(s2)
+
+times = []
+for _ in range(ITERATIONS):
+    t0 = time.perf_counter()
+    s.add(10)
+    s.sub(5)
+    s.mul(3)
+    s.div(2)
+    s.add(s2)
+    times.append((time.perf_counter() - t0) * 1000)
+
+total_ms = sum(times)
+print(
+    json.dumps(
+        {
+            "function": "add_sub_mul_div",
+            "mean_ms": round(total_ms / ITERATIONS, 3),
+            "iterations": ITERATIONS,
+            "total_ms": round(total_ms, 3),
+        }
+    )
+)

benchmarks/tsb/bench_add_sub_mul_div.ts

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+/**
+ * Benchmark: seriesAdd / seriesSub / seriesMul / seriesDiv — element-wise arithmetic.
+ * Outputs JSON: {"function": "add_sub_mul_div", "mean_ms": ..., "iterations": ..., "total_ms": ...}
+ */
+import { Series, seriesAdd, seriesSub, seriesMul, seriesDiv } from "../../src/index.ts";
+
+const SIZE = 100_000;
+const WARMUP = 5;
+const ITERATIONS = 50;
+
+const data = Array.from({ length: SIZE }, (_, i) => i * 1.0);
+const s = new Series({ data });
+const s2 = new Series({ data: data.map((v) => v * 2) });
+
+for (let i = 0; i < WARMUP; i++) {
+  seriesAdd(s, 10);
+  seriesSub(s, 5);
+  seriesMul(s, 3);
+  seriesDiv(s, 2);
+  seriesAdd(s, s2);
+}
+
+const times: number[] = [];
+for (let i = 0; i < ITERATIONS; i++) {
+  const start = performance.now();
+  seriesAdd(s, 10);
+  seriesSub(s, 5);
+  seriesMul(s, 3);
+  seriesDiv(s, 2);
+  seriesAdd(s, s2);
+  times.push(performance.now() - start);
+}
+
+const totalMs = times.reduce((a, b) => a + b, 0);
+const meanMs = totalMs / ITERATIONS;
+console.log(
+  JSON.stringify({
+    function: "add_sub_mul_div",
+    mean_ms: Math.round(meanMs * 1000) / 1000,
+    iterations: ITERATIONS,
+    total_ms: Math.round(totalMs * 1000) / 1000,
+  }),
+);