When we run timeTravel(checkoutFlow, traceLog), it will actually exercise our checkout workflow, and produce the following output. With that, we’ve successfully executed a production execution trace locally, all without touching any database or external service:
In short: if you can swap in a different set of weights and use the exact same inference code for a different task, your setup is legitimate. If the inference code is inseparable from the algorithm, it's not.
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BYOB (bring your own buffer) reads were designed to let developers reuse memory buffers when reading from streams — an important optimization intended for high-throughput scenarios. The idea is sound: instead of allocating new buffers for each chunk, you provide your own buffer and the stream fills it.