One by-product of weighing the candidates by their distance is that the resulting output image is prone to false contours or banding. Increasing reduces this effect at the cost of added granularity or high frequency noise due to the introduction of ever more distant colours to the set. I recommend taking a look at the original paper if you’re interested in learning a bit more about the algorithm[1].
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The tee() memory cliff: Stream.share() requires explicit buffer configuration. You choose the highWaterMark and backpressure policy upfront — no more silent unbounded growth when consumers run at different speeds.
在硬件构建的场景里，需求即入口，入口即支付。这种“零距离”的转化效率，是任何云端API调用或软件订阅模式都无法比拟的，对于拥有成熟交易生态的玩家，硬件可以说是将流量直接“泵入”营收的终极阀门。