Tangent (radians)
之后，项目的用户数增加，相关需求爆发！大量用户的激增，给他带来了巨大的压力。
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We thus have a classic case of the Jevons effect. Teller labor was an input into an output that we can call “financial services.” ATMs allowed us to produce that output more efficiently and economize on the use of the labor input. But demand for the output was sufficiently elastic that more efficient production meant more demand: and demand increased to the point that there was actually greater demand for the labor input as well. And—this part is not quite the classic Jevons effect—the greater demand suggested to banks that there had been certain functions that were previously considered incidental to the teller job, like “relationship banking,” which were actually quite useful. And so ATMs were a truly complementary technology for the bank teller.
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6.3x for Cython, 5.0x for Rust. The ceiling was never the pipeline code -- it was json.loads(). Both approaches use general-purpose JSON parsers -- yyjson on the Cython side, serde on the Rust side -- and both avoid Python objects entirely in the hot loop: Cython walks yyjson's C tree into C structs, Rust deserializes into native structs via serde.