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I really like decision tables but they’ve fallen out of common knowledge. Let’s fix that. A decision table is a means of concisely representing branching and conditional computations. In the most basic form, you have some columns that represent the “inputs” as booleans and some columns that represent outputs and effects. It looks like this: A B C f(A, B, C) T T T 1 T T F 3 T F T 7 T F F “cucumber” F - - NullError - means that it doesn’t matter what the value is....