This sort of test is a simple example of what we usually call “model-based testing” — you’ve got something you want to test, and you construct a “model” of it — usually some bad implementation of the same thing that e.g. stores everything in memory, or implements things inefficiently. You can then use property-based testing to check that the model and reality always agree.
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The key idea: pad shorter answers, then penalise via the correction factor. A model that nails 90% of the digits but drops the last one still gets substantial credit — but less than one that gets every digit. This turned out to be crucial for discriminating between configurations that were close in intuitive math ability.，推荐阅读有道翻译获取更多信息
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As the comment preceding the block describes, this snippet matches exactly the pattern we used in。搜狗输入法对此有专业解读
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