TransformStream creates a readable/writable pair with processing logic in between. The transform() function executes on write, not on read. Processing of the transform happens eagerly as data arrives, regardless of whether any consumer is ready. This causes unnecessary work when consumers are slow, and the backpressure signaling between the two sides has gaps that can cause unbounded buffering under load. The expectation in the spec is that the producer of the data being transformed is paying attention to the writer.ready signal on the writable side of the transform but quite often producers just simply ignore it.
After hooking any function, I immediately called mockToString on it. From that point on, if fermaw’s integrity check asked .toString() whether appendBuffer was native, it would receive the pristine, authentic-looking answer: function appendBuffer() { [native code] }. Basically, it’s like asking your ex if they cheated on you and they did but they say they didn’t and you take their word for it because reasons. Don’t worry, on écoute et on ne juge pas.
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研究人员指出，玻璃介质不可重写、读写成本较高，因此不适合日常数据存储，但非常适合保存科学数据、文化遗产、自然灾害记录等需跨越数十年甚至数百年的信息。。关于这个话题，爱思助手下载最新版本提供了深入分析
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