refresh 2 graphs

2/benchmark.py

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+import os
+import subprocess
+
+import matplotlib.pyplot as plt
+
+
+def run_test(n, threads, threshold):
+    cmd = f"./lab2 {n} {threads} {threshold}"
+    process = subprocess.Popen(
+        cmd.split(), stdout=subprocess.DEVNULL, stderr=subprocess.PIPE, text=True
+    )
+    _, err = process.communicate()
+    for line in err.split("\n"):
+        if "STAT:" in line:
+            return float(line.split("time=")[1])
+    return 0
+
+
+def build_benchmark():
+    n_size = 500000
+    threshold = 10000
+    thread_counts = [0, 1, 2, 4, 8, 12, 16]
+    times = []
+
+    print(f"Запуск бенчмарка (N={n_size}, Порог={threshold})...")
+    for t in thread_counts:
+        t_exec = run_test(n_size, t, threshold)
+        times.append(t_exec)
+        print(f"Потоков: {t} | Время: {t_exec:.4f}с")
+
+    plt.figure(figsize=(12, 5))
+
+    # График времени
+    plt.subplot(1, 2, 1)
+    plt.plot(thread_counts, times, "o-", color="blue", label="Фактическое время")
+    plt.xlabel("Кол-во потоков (0 = посл.)")
+    plt.ylabel("Время выполнения (сек)")
+    plt.title("Зависимость времени от потоков")
+    plt.grid(True)
+    plt.legend()
+
+    # График ускорения
+    plt.subplot(1, 2, 2)
+    t_seq = times[0]
+    speedup = [t_seq / x if x > 0 else 1 for x in times]
+    plt.plot(thread_counts, speedup, "s-", color="green", label="Ускорение (S)")
+    plt.plot(
+        thread_counts,
+        [x if x > 0 else 1 for x in thread_counts],
+        "--",
+        color="red",
+        alpha=0.5,
+        label="Идеал",
+    )
+    plt.xlabel("Кол-во потоков")
+    plt.ylabel("S = T(послед) / T(паралл)")
+    plt.title("График масштабируемости (Speedup)")
+    plt.legend()
+    plt.grid(True)
+
+    plt.tight_layout()
+    plt.savefig("out/performance_results.png")
+    print("Графики сохранены в out/performance_results.png")
+
+
+if __name__ == "__main__":
+    os.makedirs("out", exist_ok=True)
+    build_benchmark()