The catch: JAX is a different programming model. Python loops become lax.fori_loop. Conditionals become lax.cond. You're writing functional array programs that happen to use Python syntax -- closer to a domain-specific language than a drop-in optimizer. But if your problem fits, the numbers speak for themselves. JAX isn't the only library that compiles array code -- PyTorch has torch.compile, for example. I only tested JAX, so I can't say whether others would produce similar results on these benchmarks.
第一百九十一条 对构成生态环境损害危险的船舶或者船上货物进行的救助，救助方依据本法第一百八十九条规定获得的救助报酬，少于依据本条规定可以得到的特别补偿的，救助方有权从船舶所有人处获得相当于救助费用的特别补偿。
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有业内人士指出，目前我国民航监管对于航班超售主要以原则性规范为主，在具体赔偿标准方面仍由各航空公司根据自身服务条款制定，随着行业发展，相关规则有望进一步细化。，这一点在手游中也有详细论述
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