绘制死锁图(使用函数)并添加缩放功能

import networkx as nx
import matplotlib.pyplot as plt

def draw_deadlock_graph(processes, resources, allocation, request):
    # 创建有向图
    G = nx.DiGraph()

    # 添加进程节点
    for p in processes:
        G.add_node(p)

    # 添加资源节点
    for r in resources:
        G.add_node(r)

    # 添加分配边
    for p, r in allocation.items():
        G.add_edge(p, r)

    # 添加请求边
    for p, r in request.items():
        G.add_edge(r, p)

    # 设置节点位置
    pos = nx.spring_layout(G)

    # 绘制节点和边
    nx.draw_networkx_nodes(G, pos, node_color='lightblue', node_size=500)
    nx.draw_networkx_edges(G, pos, edge_color='gray')

    # 添加标签
    nx.draw_networkx_labels(G, pos)

    # 显示图形
    plt.axis('off')
    plt.show()

# 示例数据
processes = ['P1', 'P2', 'P3']
resources = ['R1', 'R2', 'R3']
allocation = {'P1': 'R1', 'P2': 'R2', 'P3': 'R3'}
request = {'P1': 'R3', 'P2': 'R1', 'P3': 'R2'}

# 绘制死锁图
draw_deadlock_graph(processes, resources, allocation, request)