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.
tasks := make([]task, 0, 10) // probably at most 10 tasks
，更多细节参见51吃瓜
Марина Совина (ночной редактор)
国内L4玩家中，小马智行实现“单车盈利”，萝卜快跑在武汉、亦庄两地试点扭亏为盈。文远知行在海外也取得了不错成绩。虽然绝对数量上不占优势，但证明了L4商用是可行的，是能赚到钱的。