The problem gets worse in pipelines. When you chain multiple transforms – say, parse, transform, then serialize – each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.
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“集群化发展”成为常态，“上下楼即上下游、左右邻即合伙人”成为现实，“实验室—中试平台—产业化基地”的全链条通道，让科技成果转化的“亦庄速度”不断刷新。
And so a series which started as poking at the brand and its owner, has ended up becoming a way for them to attract new customers - Hamblin's followers - who have been following his design process.