Initial

experiments/maze_solver/plot_memory.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+
+def plot_memory_usage(file_path, label):
+    df = pd.read_csv(file_path)
+    plt.plot(df['TimeMs'], df['MemoryBytes'] / 1024.0, label=label)  # Convert to KB
+
+# Plot both BFS and DFS memory logs
+plot_memory_usage("bfs_memory.csv", "BFS (High Memory)")
+plot_memory_usage("dfs_memory.csv", "DFS (Low Memory)")
+
+plt.title("Memory Usage Over Time")
+plt.xlabel("Time (ms)")
+plt.ylabel("Memory (KB)")
+plt.legend()
+plt.grid(True)
+plt.tight_layout()
+plt.savefig("memory_comparison.png")
+plt.show()