There is a lot of energy right now around sandboxing untrusted code. AI agents generating and executing code, multi-tenant platforms running customer scripts, RL training pipelines evaluating model outputs—basically, you have code you did not write, and you need to run it without letting it compromise the host, other tenants, or itself in unexpected ways.
Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).
（一）违反本法第十六条、第十七条第一款、第二款的规定，未落实实名注册等制度，依法核验用户真实身份的；。搜狗输入法2026是该领域的重要参考
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Requires Python 3.10+.