feat(work): add solutions for 150.evaluate-reverse-polish-notation and 155.min-stack, remove 42.trapping-rain-water

This commit is contained in:
Prad Nukala
2026-08-27 15:21:16 -04:00
parent 53136b076c
commit 9b5879b6eb
3 changed files with 174 additions and 44 deletions
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/*
* 42. Trapping Rain Water
* Difficulty: Hard
* https://leetcode.com/problems/trapping-rain-water/
*
* ──────────────────────────────────────────────────
*
* Given n non-negative integers representing an elevation map where the
* width of each bar is 1, compute how much water it can trap after
* raining.
*
*
*
* Example 1:
*
* Input: height = [0,1,0,2,1,0,1,3,2,1,2,1]
* Output: 6
* Explanation: The above elevation map (black section) is represented
* by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain
* water (blue section) are being trapped.
*
* Example 2:
*
* Input: height = [4,2,0,3,2,5]
* Output: 9
*
*
*
* Constraints:
*
* • n == height.length
*
* • 1 <= n <= 2 * 10^4
*
* • 0 <= height[i] <= 10^5
*/
/**
* @param {number[]} height
* @return {number}
*/
var trap = function(height) {
};
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"""
150. Evaluate Reverse Polish Notation
Difficulty: Medium
https://leetcode.com/problems/evaluate-reverse-polish-notation/
──────────────────────────────────────────────────
You are given an array of strings tokens that represents an
arithmetic expression in a Reverse Polish Notation.
Evaluate the expression. Return an integer that represents the value
of the expression.
Note that:
• The valid operators are '+', '-', '*', and '/'.
• Each operand may be an integer or another expression.
• The division between two integers always truncates toward zero.
• There will not be any division by zero.
• The input represents a valid arithmetic expression in a reverse
polish notation.
• The answer and all the intermediate calculations can be
represented in a 32-bit integer.
Example 1:
Input: tokens = ["2","1","+","3","*"]
Output: 9
Explanation: ((2 + 1) * 3) = 9
Example 2:
Input: tokens = ["4","13","5","/","+"]
Output: 6
Explanation: (4 + (13 / 5)) = 6
Example 3:
Input: tokens =
["10","6","9","3","+","-11","*","/","*","17","+","5","+"]
Output: 22
Explanation: ((10 * (6 / ((9 + 3) * -11))) + 17) + 5
= ((10 * (6 / (12 * -11))) + 17) + 5
= ((10 * (6 / -132)) + 17) + 5
= ((10 * 0) + 17) + 5
= (0 + 17) + 5
= 17 + 5
= 22
Constraints:
• 1 <= tokens.length <= 10^4
• tokens[i] is either an operator: "+", "-", "*", or "/", or an
integer in the range [-200, 200].
"""
class Solution:
def evalRPN(self, tokens: List[str]) -> int:
stack = []
operations = {
"+": lambda x, y: int(x + y),
"-": lambda x, y: int(x - y),
"*": lambda x, y: int(x * y),
"/": lambda x, y: int(x / y),
}
for c in tokens:
if c in operations:
y = stack.pop()
x = stack.pop()
calc_func = operations[c]
result = calc_func(x, y)
stack.append(result)
else:
stack.append(int(c))
return stack[0]
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"""
155. Min Stack
Difficulty: Medium
https://leetcode.com/problems/min-stack/
──────────────────────────────────────────────────
Design a stack that supports push, pop, top, and retrieving the
minimum element in constant time.
Implement the MinStack class:
• MinStack() initializes the stack object.
• void push(int value) pushes the element value onto the stack.
• void pop() removes the element on the top of the stack.
• int top() gets the top element of the stack.
• int getMin() retrieves the minimum element in the stack.
You must implement a solution with O(1) time complexity for each
function.
Example 1:
Input
["MinStack","push","push","push","getMin","pop","top","getMin"]
[[],[-2],[0],[-3],[],[],[],[]]
Output
[null,null,null,null,-3,null,0,-2]
Explanation
MinStack minStack = new MinStack();
minStack.push(-2);
minStack.push(0);
minStack.push(-3);
minStack.getMin(); // return -3
minStack.pop();
minStack.top(); // return 0
minStack.getMin(); // return -2
Constraints:
• -2^31 <= val <= 2^31 - 1
• Methods pop, top and getMin operations will always be called on
non-empty stacks.
• At most 3 * 10^4 calls will be made to push, pop, top, and getMin.
"""
class MinStack:
def __init__(self):
self.stack = []
self.minStack = []
def push(self, value: int) -> None:
self.stack.append(value)
value = min(value, self.minStack[-1] if self.minStack else value)
self.minStack.append(value)
def pop(self) -> None:
self.stack.pop()
self.minStack.pop()
def top(self) -> int:
return self.stack[-1]
def getMin(self) -> int:
return self.minStack[-1]
# Your MinStack object will be instantiated and called as such:
# obj = MinStack()
# obj.push(value)
# obj.pop()
# param_3 = obj.top()
# param_4 = obj.getMin()