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Visualizing stack traces as flame graphs directly on-device is an interesting approach to reducing the latency between frame drop detection and root cause analysis. Does your implementation use a standard library like py-spy or a custom sampling mechanism to generate the flame graph data structures before rendering them on the UI?
https://github.com/Knight-ZXW/BlockCanaryX

监听的机制差不多,堆栈的展示 会直接以火焰图的形式