从后向前扫描已排序部分，找到插入位置，元素后移腾出空间
Parsimonious deep neural network models can be used for prediction of visual neuron responses.
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Implementations have found ways to optimize transform pipelines by collapsing identity transforms, short-circuiting non-observable paths, deferring buffer allocation, or falling back to native code that does not run JavaScript at all. Deno, Bun, and Cloudflare Workers have all successfully implemented "native path" optimizations that can help eliminate much of the overhead, and Vercel's recent fast-webstreams research is working on similar optimizations for Node.js. But the optimizations themselves add significant complexity and still can't fully escape the inherently push-oriented model that TransformStream uses.。91视频是该领域的重要参考