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Leetcode #354: Russian Doll Envelopes

In this guide, we solve Leetcode #354 Russian Doll Envelopes in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

You are given a 2D array of integers envelopes where envelopes[i] = [wi, hi] represents the width and the height of an envelope. One envelope can fit into another if and only if both the width and height of one envelope are greater than the other envelope's width and height.

Quick Facts

  • Difficulty: Hard
  • Premium: No
  • Tags: Array, Binary Search, Dynamic Programming, Sorting

Intuition

The problem structure suggests a monotonic decision, which makes binary search a natural fit.

By halving the search space each step, we reach the answer efficiently.

Approach

Search either directly on a sorted array or on the answer space using a check function.

Each check is fast, and the logarithmic search keeps the overall runtime low.

Steps:

  • Define the search bounds.
  • Check the mid point condition.
  • Narrow the bounds until convergence.

Example

Input: envelopes = [[5,4],[6,4],[6,7],[2,3]] Output: 3 Explanation: The maximum number of envelopes you can Russian doll is 3 ([2,3] => [5,4] => [6,7]).

Python Solution

class Solution: def maxEnvelopes(self, envelopes: List[List[int]]) -> int: envelopes.sort(key=lambda x: (x[0], -x[1])) d = [envelopes[0][1]] for _, h in envelopes[1:]: if h > d[-1]: d.append(h) else: idx = bisect_left(d, h) d[idx] = h return len(d)

Complexity

The time complexity is O(log n) or O(n log n). The space complexity is O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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