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How Can I Optimize My A* Algorithm's Performance Bottleneck on Line 80?

Susan Sarandon
Susan SarandonOriginal
2025-01-04 20:59:45378browse

How Can I Optimize My A* Algorithm's Performance Bottleneck on Line 80?

How to Enhance Code Performance: Identifying and Resolving Bottlenecks

A performance evaluation reveals that your code is consuming an excessive amount of time, particularly considering the limited number of camels involved. This article analyzes your code and presents insights into how you can optimize its performance.

Your code's bottleneck appears to stem from line 80 within the 'astar' function:

openlist.put((current.g + heuristicf(neighbor), node(neighbor, current.g + 1, current)))

Profiling reveals that this line is responsible for a substantial portion of the execution time. Specifically, the 'heuristicf' function, invoked within the tuple, is causing the performance degradation.

To address this issue, consider modifying your code to avoid calling 'heuristicf' repeatedly within the loop. Instead, calculate and store the heuristic value for each neighbor outside of the loop. By optimizing this specific line, you can significantly improve the performance of your code.

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