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Parsing A Boolean Expression

Hard
67.9%
Updated 6/1/2025

Parsing A Boolean Expression

What is this problem about?

The Parsing A Boolean Expression problem asks you to evaluate a boolean expression string containing ! (not), & (and), | (or), t (true), and f (false). Expressions are properly parenthesized. This hard coding problem uses recursive parsing or a stack-based approach. The recursion, string, and stack interview pattern is the core.

Why is this asked in interviews?

Goldman Sachs, Microsoft, Meta, Amazon, Google, and Bloomberg ask this because it tests recursive expression evaluation — a skill directly applicable to compilers, circuit simulation, and logic processing. The ability to handle nested boolean expressions demonstrates strong recursive design.

Algorithmic pattern used

Recursive descent or stack. Recursive: parse an expression: if 't'/'f', return true/false. If '!', parse the inner expression and negate. If '&'/'|', parse all comma-separated sub-expressions inside parentheses and apply AND/OR. Stack approach: push characters, when ')' found, collect values back to '(' and apply the operator.

Example explanation

"!(f)": negation of false → true. "&(t,f,t)": t AND f AND t = false. "|(f,t,f)": f OR t OR f = true. "&(|(f,t),!(t))": evaluate |(f,t)=true, !(t)=false. AND(true,false) = false.

Common mistakes candidates make

  • Not handling nested expressions correctly (recursion depth must match nesting level).
  • Incorrect operator precedence (all operators are prefix, so no precedence issues here).
  • Stack-based: not correctly locating the matching '(' when ')' is encountered.
  • Forgetting commas as separators between sub-expressions.

Interview preparation tip

Boolean expression parsing has two clean implementations: recursive (natural for tree structure) and stack (iterative). The stack approach: push each character; on ')', pop until '(' and collect values; apply the operator (found before '('); push result. Practice both implementations — interviewers may ask you to convert between them. This problem generalizes to any prefix-notation operator tree evaluation.

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