// console.log(nextGreaterElement([], [1,2,3])); // 预期输出：[]
icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.
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The design choices have performance implications. Here are benchmarks from the reference implementation of this possible alternative compared to Web streams (Node.js v24.x, Apple M1 Pro, averaged over 10 runs):
Генералы-коррупционеры, украинские агенты и скандальное дело Долиной:самые громкие судебные процессы 2025 года30 декабря 2025