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3 Commits

Author SHA1 Message Date
pajjilykk 4049e66428 add missing graph to 1 2026-05-06 10:08:14 +07:00
pajjilykk a9d2613679 remove some imports 2026-05-06 09:21:42 +07:00
pajjilykk 8a241fe154 remove some incldes 2026-05-06 08:50:16 +07:00
3 changed files with 148 additions and 20 deletions
+143 -10
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@@ -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.text(p.start - first, i, f"PID {p.pid} ({p.depth})", va="center")
ax.barh(
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.text(p.start - first, i, f"PID {p.pid} ({p.depth})", va="center")
ax.barh(
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()
@@ -139,7 +167,110 @@ 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():
if len(sys.argv) > 1:
procs = parse_log(sys.argv[1])
root = build_tree(procs)
ordered = dfs_order(root)
@@ -147,7 +278,9 @@ def main():
write_md(procs, ordered)
draw_gantt(ordered)
print(f"Outputs saved to: {OUT_DIR}/")
draw_performance_graph()
print(f"\nOutputs saved to: {OUT_DIR}/")
if __name__ == "__main__":
-3
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@@ -1,5 +1,4 @@
#include <iostream>
#include <vector>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <sys/wait.h>
@@ -7,10 +6,8 @@
#include <unistd.h>
#include <ctime>
#include <iomanip>
#include <algorithm>
#include <random>
#include <sstream>
#include <cmath>
constexpr int NIL = -1; // маркер пустого указателя
constexpr int MAX_PROCS = 1024; // лимит ячеек для результатов
-2
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@@ -1,12 +1,10 @@
#include <iostream>
#include <vector>
#include <iomanip>
#include <algorithm>
#include <random>
#include <pthread.h>
#include <sys/time.h>
#include <unistd.h>
#include <sstream>
constexpr int NIL = -1; // Маркер конца списка (аналог nullptr для индексов)