add missing graph to 1

1/exporter.py

@@ -1,6 +1,9 @@
+import math
 import os
 import re
+import subprocess
 import sys
+import time
 
 import matplotlib.pyplot as plt
 
@@ -52,11 +55,13 @@ def parse_log(path):
 
 def build_tree(procs):
     root = None
+
     for p in procs.values():
         if p.ppid in procs:
             procs[p.ppid].children.append(p)
         else:
             root = p
+
     return root
 
 
@@ -94,18 +99,29 @@ def draw_gantt(ordered):
 
     first = min(p.start for p in ordered)
 
-    # Создаем карту цветов, чтобы PID всегда имел один и тот же цвет
+    cmap = plt.get_cmap("tab20")
-    cmap = plt.get_cmap('tab20')
     color_map = {p.pid: cmap(i % 20) for i, p in enumerate(ordered)}
 
     # -------------------------
-    # 1) TREE ORDER (current)
+    # 1) TREE ORDER
     # -------------------------
+
     fig, ax = plt.subplots(figsize=(12, 6))
 
     for i, p in enumerate(ordered):
-        ax.barh(i, p.duration, left=p.start - first, height=0.6, color=color_map[p.pid])
+        ax.barh(
-        ax.text(p.start - first, i, f"PID {p.pid} ({p.depth})", va="center")
+            i,
+            p.duration,
+            left=p.start - first,
+            height=0.6,
+            color=color_map[p.pid],
+        )
+        ax.text(
+            p.start - first,
+            i,
+            f"PID {p.pid} ({p.depth})",
+            va="center",
+        )
 
     ax.set_yticks(range(len(ordered)))
     ax.set_yticklabels([f"{p.pid} ({p.depth})" for p in ordered])
@@ -118,20 +134,32 @@ def draw_gantt(ordered):
     plt.close()
 
     # -------------------------
-    # 2) PID-SORTED VIEW
+    # 2) PID ORDER
     # -------------------------
+
     pid_order = sorted(ordered, key=lambda p: p.pid)
 
     fig, ax = plt.subplots(figsize=(12, 6))
 
     for i, p in enumerate(pid_order):
-        ax.barh(i, p.duration, left=p.start - first, height=0.6, color=color_map[p.pid])
+        ax.barh(
-        ax.text(p.start - first, i, f"PID {p.pid} ({p.depth})", va="center")
+            i,
+            p.duration,
+            left=p.start - first,
+            height=0.6,
+            color=color_map[p.pid],
+        )
+        ax.text(
+            p.start - first,
+            i,
+            f"PID {p.pid} ({p.depth})",
+            va="center",
+        )
 
     ax.set_yticks(range(len(pid_order)))
     ax.set_yticklabels([f"{p.pid} ({p.depth})" for p in pid_order])
     ax.set_xlabel("Секунд с начала первого процесса")
-    ax.set_title("Диаграмма процессов (в порядке)")
+    ax.set_title("Диаграмма процессов (в порядке PID)")
     ax.invert_yaxis()
 
     plt.tight_layout()
@@ -139,15 +167,120 @@ def draw_gantt(ordered):
     plt.close()
 
 
+# ============================================================
+# PERFORMANCE GRAPH
+# ============================================================
+
+
+def depth_for_process_count(proc_count):
+    """
+    Your C++ program creates processes by recursion depth.
+
+    depth=0 -> 1 process
+    depth=1 -> 3 processes
+    depth=2 -> 7 processes
+    depth=3 -> 15 processes
+    depth=4 -> 31 processes
+    depth=5 -> 63 processes
+
+    This function chooses the closest depth for requested process count.
+    """
+
+    if proc_count <= 1:
+        return 0
+
+    return max(0, math.ceil(math.log2(proc_count + 1)) - 1)
+
+
+def run_process_test(n, proc_count):
+    max_depth = depth_for_process_count(proc_count)
+
+    cmd = ["./lab1", str(n), str(max_depth)]
+
+    start = time.perf_counter()
+
+    subprocess.run(
+        cmd,
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+        check=False,
+    )
+
+    end = time.perf_counter()
+
+    return end - start
+
+
+def draw_performance_graph():
+    n = 10000
+    proc_counts = list(range(1, 33))
+
+    times = []
+
+    print("\nBenchmarking process count performance:")
+
+    for p in proc_counts:
+        t = run_process_test(n, p)
+        times.append(t)
+        print(f"Processes: {p:2d} | Time: {t:.6f} sec")
+
+    base_time = times[0]
+
+    speedup = [base_time / t if t > 0 else 0 for t in times]
+
+    out_path = os.path.join(OUT_DIR, "process_performance.png")
+
+    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 6))
+
+    # -------------------------
+    # TIME GRAPH
+    # -------------------------
+
+    ax1.plot(proc_counts, times, "o-")
+    ax1.set_xlabel("Количество процессов")
+    ax1.set_ylabel("Время (сек)")
+    ax1.set_title("Время выполнения")
+    ax1.grid(True)
+
+    # -------------------------
+    # SPEEDUP GRAPH
+    # -------------------------
+
+    ax2.plot(proc_counts, speedup, "s-", label="Реальное ускорение")
+    ax2.plot(
+        proc_counts,
+        proc_counts,
+        "--",
+        color="black",
+        alpha=0.3,
+        label="Идеал",
+    )
+
+    ax2.set_xlabel("Количество процессов")
+    ax2.set_ylabel("Ускорение")
+    ax2.set_title("Масштабируемость")
+    ax2.legend()
+    ax2.grid(True)
+
+    plt.tight_layout()
+    plt.savefig(out_path)
+    plt.close()
+
+    print(f"\nPerformance graph saved to: {out_path}")
+
+
 def main():
-    procs = parse_log(sys.argv[1])
+    if len(sys.argv) > 1:
-    root = build_tree(procs)
+        procs = parse_log(sys.argv[1])
-    ordered = dfs_order(root)
+        root = build_tree(procs)
+        ordered = dfs_order(root)
 
-    write_md(procs, ordered)
+        write_md(procs, ordered)
-    draw_gantt(ordered)
+        draw_gantt(ordered)
 
-    print(f"Outputs saved to: {OUT_DIR}/")
+    draw_performance_graph()
+
+    print(f"\nOutputs saved to: {OUT_DIR}/")
 
 
 if __name__ == "__main__":