Mutating counts without cleanup
Wrong move: Zero-count keys stay in map and break distinct/count constraints.
Usually fails on: Window/map size checks are consistently off by one.
Fix: Delete keys when count reaches zero.
Break down a hard problem into reliable checkpoints, edge-case handling, and complexity trade-offs.
You are given a string expression representing a Lisp-like expression to return the integer value of.
The syntax for these expressions is given as follows.
"(let v1 e1 v2 e2 ... vn en expr)", where let is always the string "let", then there are one or more pairs of alternating variables and expressions, meaning that the first variable v1 is assigned the value of the expression e1, the second variable v2 is assigned the value of the expression e2, and so on sequentially; and then the value of this let expression is the value of the expression expr."(add e1 e2)" where add is always the string "add", there are always two expressions e1, e2 and the result is the addition of the evaluation of e1 and the evaluation of e2."(mult e1 e2)" where mult is always the string "mult", there are always two expressions e1, e2 and the result is the multiplication of the evaluation of e1 and the evaluation of e2."add", "let", and "mult" are protected and will never be used as variable names.Example 1:
Input: expression = "(let x 2 (mult x (let x 3 y 4 (add x y))))" Output: 14 Explanation: In the expression (add x y), when checking for the value of the variable x, we check from the innermost scope to the outermost in the context of the variable we are trying to evaluate. Since x = 3 is found first, the value of x is 3.
Example 2:
Input: expression = "(let x 3 x 2 x)" Output: 2 Explanation: Assignment in let statements is processed sequentially.
Example 3:
Input: expression = "(let x 1 y 2 x (add x y) (add x y))" Output: 5 Explanation: The first (add x y) evaluates as 3, and is assigned to x. The second (add x y) evaluates as 3+2 = 5.
Constraints:
1 <= expression.length <= 2000expression.expression.Problem summary: You are given a string expression representing a Lisp-like expression to return the integer value of. The syntax for these expressions is given as follows. An expression is either an integer, let expression, add expression, mult expression, or an assigned variable. Expressions always evaluate to a single integer. (An integer could be positive or negative.) A let expression takes the form "(let v1 e1 v2 e2 ... vn en expr)", where let is always the string "let", then there are one or more pairs of alternating variables and expressions, meaning that the first variable v1 is assigned the value of the expression e1, the second variable v2 is assigned the value of the expression e2, and so on sequentially; and then the value of this let expression is the value of the expression expr. An add expression takes the form "(add e1 e2)" where add is always the string "add", there are always two
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: Hash Map · Stack
"(let x 2 (mult x (let x 3 y 4 (add x y))))"
"(let x 3 x 2 x)"
"(let x 1 y 2 x (add x y) (add x y))"
ternary-expression-parser)number-of-atoms)basic-calculator-iv)Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #736: Parse Lisp Expression
class Solution {
private int i;
private String expr;
private Map<String, Deque<Integer>> scope = new HashMap<>();
public int evaluate(String expression) {
expr = expression;
return eval();
}
private int eval() {
char c = expr.charAt(i);
if (c != '(') {
return Character.isLowerCase(c) ? scope.get(parseVar()).peekLast() : parseInt();
}
++i;
c = expr.charAt(i);
int ans = 0;
if (c == 'l') {
i += 4;
List<String> vars = new ArrayList<>();
while (true) {
String var = parseVar();
if (expr.charAt(i) == ')') {
ans = scope.get(var).peekLast();
break;
}
vars.add(var);
++i;
scope.computeIfAbsent(var, k -> new ArrayDeque<>()).offer(eval());
++i;
if (!Character.isLowerCase(expr.charAt(i))) {
ans = eval();
break;
}
}
for (String v : vars) {
scope.get(v).pollLast();
}
} else {
boolean add = c == 'a';
i += add ? 4 : 5;
int a = eval();
++i;
int b = eval();
ans = add ? a + b : a * b;
}
++i;
return ans;
}
private String parseVar() {
int j = i;
while (i < expr.length() && expr.charAt(i) != ' ' && expr.charAt(i) != ')') {
++i;
}
return expr.substring(j, i);
}
private int parseInt() {
int sign = 1;
if (expr.charAt(i) == '-') {
sign = -1;
++i;
}
int v = 0;
while (i < expr.length() && Character.isDigit(expr.charAt(i))) {
v = v * 10 + (expr.charAt(i) - '0');
++i;
}
return sign * v;
}
}
// Accepted solution for LeetCode #736: Parse Lisp Expression
func evaluate(expression string) int {
i, n := 0, len(expression)
scope := map[string][]int{}
parseVar := func() string {
j := i
for ; i < n && expression[i] != ' ' && expression[i] != ')'; i++ {
}
return expression[j:i]
}
parseInt := func() int {
sign, v := 1, 0
if expression[i] == '-' {
sign = -1
i++
}
for ; i < n && expression[i] >= '0' && expression[i] <= '9'; i++ {
v = (v * 10) + int(expression[i]-'0')
}
return sign * v
}
var eval func() int
eval = func() int {
if expression[i] != '(' {
if unicode.IsLower(rune(expression[i])) {
t := scope[parseVar()]
return t[len(t)-1]
}
return parseInt()
}
i++
ans := 0
if expression[i] == 'l' {
i += 4
vars := []string{}
for {
v := parseVar()
if expression[i] == ')' {
t := scope[v]
ans = t[len(t)-1]
break
}
i++
vars = append(vars, v)
scope[v] = append(scope[v], eval())
i++
if !unicode.IsLower(rune(expression[i])) {
ans = eval()
break
}
}
for _, v := range vars {
scope[v] = scope[v][:len(scope[v])-1]
}
} else {
add := expression[i] == 'a'
if add {
i += 4
} else {
i += 5
}
a := eval()
i++
b := eval()
if add {
ans = a + b
} else {
ans = a * b
}
}
i++
return ans
}
return eval()
}
# Accepted solution for LeetCode #736: Parse Lisp Expression
class Solution:
def evaluate(self, expression: str) -> int:
def parseVar():
nonlocal i
j = i
while i < n and expression[i] not in " )":
i += 1
return expression[j:i]
def parseInt():
nonlocal i
sign, v = 1, 0
if expression[i] == "-":
sign = -1
i += 1
while i < n and expression[i].isdigit():
v = v * 10 + int(expression[i])
i += 1
return sign * v
def eval():
nonlocal i
if expression[i] != "(":
return scope[parseVar()][-1] if expression[i].islower() else parseInt()
i += 1
if expression[i] == "l":
i += 4
vars = []
while 1:
var = parseVar()
if expression[i] == ")":
ans = scope[var][-1]
break
vars.append(var)
i += 1
scope[var].append(eval())
i += 1
if not expression[i].islower():
ans = eval()
break
for v in vars:
scope[v].pop()
else:
add = expression[i] == "a"
i += 4 if add else 5
a = eval()
i += 1
b = eval()
ans = a + b if add else a * b
i += 1
return ans
i, n = 0, len(expression)
scope = defaultdict(list)
return eval()
// Accepted solution for LeetCode #736: Parse Lisp Expression
struct Solution;
use std::collections::HashMap;
use std::iter::Peekable;
use std::str::Chars;
use std::vec::IntoIter;
#[derive(Debug, Clone, Copy, Eq, PartialEq)]
enum Tok {
Var(usize),
Num(i32),
Op(char),
}
use Tok::*;
impl Solution {
fn evaluate(expression: String) -> i32 {
let mut it = expression.chars().peekable();
let mut symbols: HashMap<String, usize> = HashMap::new();
let tokens = Self::parse_tokens(&mut it, &mut symbols);
let mut it = tokens.into_iter().peekable();
let k = symbols.len();
let mut stacks = vec![vec![]; k];
Self::eval_expr(&mut it, &mut stacks).unwrap()
}
fn eval_expr(it: &mut Peekable<IntoIter<Tok>>, stacks: &mut Vec<Vec<i32>>) -> Option<i32> {
let tok = it.next().unwrap();
match tok {
Op('(') => {
let res = Self::eval_complex_expr(it, stacks).unwrap();
let close = it.next().unwrap();
if close != Op(')') {
panic!();
}
Some(res)
}
Var(id) => Some(stacks[id].last().copied().unwrap()),
Num(x) => Some(x),
_ => {
panic!()
}
}
}
fn eval_complex_expr(
it: &mut Peekable<IntoIter<Tok>>,
stacks: &mut Vec<Vec<i32>>,
) -> Option<i32> {
let tok = it.next().unwrap();
match tok {
Op('=') => {
let mut locals = vec![];
let mut ambiguous: Option<i32> = None;
while let Some(Var(_)) = it.peek() {
if let Some(Var(id)) = it.next() {
if let Some(Op(')')) = it.peek() {
let val = stacks[id].last().copied().unwrap();
ambiguous = Some(val);
break;
} else {
let expr = Self::eval_expr(it, stacks).unwrap();
stacks[id].push(expr);
locals.push(id);
}
} else {
panic!();
}
}
let res = if let Some(val) = ambiguous {
val
} else {
Self::eval_expr(it, stacks).unwrap()
};
for id in locals {
stacks[id].pop().unwrap();
}
Some(res)
}
Op('+') => {
Some(Self::eval_expr(it, stacks).unwrap() + Self::eval_expr(it, stacks).unwrap())
}
Op('*') => {
Some(Self::eval_expr(it, stacks).unwrap() * Self::eval_expr(it, stacks).unwrap())
}
_ => panic!(),
}
}
fn parse_tokens(it: &mut Peekable<Chars>, symbols: &mut HashMap<String, usize>) -> Vec<Tok> {
let mut res = vec![];
while let Some(c) = it.next() {
match c {
'(' | ')' => res.push(Tok::Op(c)),
'-' => {
let mut x = 0;
while let Some(next_c) = it.peek() {
if next_c.is_numeric() {
x *= 10;
x += (it.next().unwrap() as u8 - b'0') as i32;
} else {
break;
}
}
res.push(Tok::Num(-x));
}
'0'..='9' => {
let mut x = (c as u8 - b'0') as i32;
while let Some(next_c) = it.peek() {
if next_c.is_numeric() {
x *= 10;
x += (it.next().unwrap() as u8 - b'0') as i32;
} else {
break;
}
}
res.push(Tok::Num(x));
}
'a'..='z' => {
let mut s = "".to_string();
s.push(c);
while let Some(next_c) = it.peek() {
if next_c.is_alphanumeric() {
s.push(it.next().unwrap());
} else {
break;
}
}
match s.as_str() {
"let" => res.push(Tok::Op('=')),
"mult" => res.push(Tok::Op('*')),
"add" => res.push(Tok::Op('+')),
_ => {
let size = symbols.len();
let id = *symbols.entry(s).or_insert(size);
res.push(Tok::Var(id));
}
}
}
' ' => {}
_ => panic!(),
}
}
res
}
}
#[test]
fn test() {
let expression = "(add 1 2)".to_string();
let res = 3;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(mult 3 (add 2 3))".to_string();
let res = 15;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let x 2 (mult x 5))".to_string();
let res = 10;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let x 2 (mult x (let x 3 y 4 (add x y))))".to_string();
let res = 14;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let x 3 x 2 x)".to_string();
let res = 2;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let x 1 y 2 x (add x y) (add x y))".to_string();
let res = 5;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let x 2 (add (let x 3 (let x 4 x)) x))".to_string();
let res = 6;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let a1 3 b2 (add a1 1) b2)".to_string();
let res = 4;
assert_eq!(Solution::evaluate(expression), res);
let expression = "(let x 7 -12)".to_string();
let res = -12;
assert_eq!(Solution::evaluate(expression), res);
}
// Accepted solution for LeetCode #736: Parse Lisp Expression
// Auto-generated TypeScript example from java.
function exampleSolution(): void {
}
// Reference (java):
// // Accepted solution for LeetCode #736: Parse Lisp Expression
// class Solution {
// private int i;
// private String expr;
// private Map<String, Deque<Integer>> scope = new HashMap<>();
//
// public int evaluate(String expression) {
// expr = expression;
// return eval();
// }
//
// private int eval() {
// char c = expr.charAt(i);
// if (c != '(') {
// return Character.isLowerCase(c) ? scope.get(parseVar()).peekLast() : parseInt();
// }
// ++i;
// c = expr.charAt(i);
// int ans = 0;
// if (c == 'l') {
// i += 4;
// List<String> vars = new ArrayList<>();
// while (true) {
// String var = parseVar();
// if (expr.charAt(i) == ')') {
// ans = scope.get(var).peekLast();
// break;
// }
// vars.add(var);
// ++i;
// scope.computeIfAbsent(var, k -> new ArrayDeque<>()).offer(eval());
// ++i;
// if (!Character.isLowerCase(expr.charAt(i))) {
// ans = eval();
// break;
// }
// }
// for (String v : vars) {
// scope.get(v).pollLast();
// }
// } else {
// boolean add = c == 'a';
// i += add ? 4 : 5;
// int a = eval();
// ++i;
// int b = eval();
// ans = add ? a + b : a * b;
// }
// ++i;
// return ans;
// }
//
// private String parseVar() {
// int j = i;
// while (i < expr.length() && expr.charAt(i) != ' ' && expr.charAt(i) != ')') {
// ++i;
// }
// return expr.substring(j, i);
// }
//
// private int parseInt() {
// int sign = 1;
// if (expr.charAt(i) == '-') {
// sign = -1;
// ++i;
// }
// int v = 0;
// while (i < expr.length() && Character.isDigit(expr.charAt(i))) {
// v = v * 10 + (expr.charAt(i) - '0');
// ++i;
// }
// return sign * v;
// }
// }
Use this to step through a reusable interview workflow for this problem.
For each element, scan left (or right) to find the next greater/smaller element. The inner scan can visit up to n elements per outer iteration, giving O(n²) total comparisons. No extra space needed beyond loop variables.
Each element is pushed onto the stack at most once and popped at most once, giving 2n total operations = O(n). The stack itself holds at most n elements in the worst case. The key insight: amortized O(1) per element despite the inner while-loop.
Review these before coding to avoid predictable interview regressions.
Wrong move: Zero-count keys stay in map and break distinct/count constraints.
Usually fails on: Window/map size checks are consistently off by one.
Fix: Delete keys when count reaches zero.
Wrong move: Pushing without popping stale elements invalidates next-greater/next-smaller logic.
Usually fails on: Indices point to blocked elements and outputs shift.
Fix: Pop while invariant is violated before pushing current element.