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Trade-offs worth knowing: genericClosure's std::map tracks seen keys at O(log n) per step. With unique monotonic keys, the check is effectively a sorted insert, but the map still grows linearly with step count. State must be data that deepSeq can fully evaluate. deepSeq recurses through attrsets and lists, but a function value is already in normal form. There's nothing inside a closure for deepSeq to force. If each step builds a new closure that wraps the previous one (say, { process = x: prev.process (x + 1); } where prev is last step's state), the chain of closure references grows with N. deepSeq sees a function, stops, and the chain survives. The trampoline runs fine; the blowup arrives when you call the accumulated function. A constant function carried unchanged across steps causes no problem at any N.
“在固定的功率下，谁的每瓦Token吞吐量最高，谁的生产成本就最低。你的吞吐量和Token生成速度，将直接转化为你的收入能力。”