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the complexity side of things is harder to explain. you can approach this theoretically, practically, or a mix of both. the theoretical approach is to look at the worst-case time complexity of each algorithm, and the practical approach is to look at how they perform on real-world inputs and benchmarks. let’s explore a bit of both.
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吳先生說問卷流於空泛，「現在不可以令我想到下一步怎樣做。」，这一点在Line官方版本下载中也有详细论述
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When a cell is edited, Sabela computes the transitive closure of a cell’s dependencies. The engine performs a naive parse over the code to extract: definitions (symbols introduced via let, data, type, or top-level assignment), and usages (all identifier tokens found within the cell). This is a “greedy” lexical scan rather than a full AST parse (it captures tokens but doesn’t resolve scopes)