Leetcode #1023: Camelcase Matching
In this guide, we solve Leetcode #1023 Camelcase Matching 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.
Problem Statement
Given an array of strings queries and a string pattern, return a boolean array answer where answer[i] is true if queries[i] matches pattern, and false otherwise. A query word queries[i] matches pattern if you can insert lowercase English letters into the pattern so that it equals the query.
Quick Facts
- Difficulty: Medium
- Premium: No
- Tags: Trie, Array, Two Pointers, String, String Matching
Intuition
The constraints hint that we can reason about two ends of the data at once, which is perfect for a two-pointer scan.
Moving one pointer at a time keeps the invariant intact and avoids nested loops.
Approach
Place pointers at the left and right ends and move them based on the comparison or target condition.
This yields a clean linear pass after any required sorting.
Steps:
- Set left and right pointers.
- Move a pointer based on the condition.
- Update the best answer while scanning.
Example
Input: queries = ["FooBar","FooBarTest","FootBall","FrameBuffer","ForceFeedBack"], pattern = "FB"
Output: [true,false,true,true,false]
Explanation: "FooBar" can be generated like this "F" + "oo" + "B" + "ar".
"FootBall" can be generated like this "F" + "oot" + "B" + "all".
"FrameBuffer" can be generated like this "F" + "rame" + "B" + "uffer".
Python Solution
class Solution:
def camelMatch(self, queries: List[str], pattern: str) -> List[bool]:
def check(s, t):
m, n = len(s), len(t)
i = j = 0
while j < n:
while i < m and s[i] != t[j] and s[i].islower():
i += 1
if i == m or s[i] != t[j]:
return False
i, j = i + 1, j + 1
while i < m and s[i].islower():
i += 1
return i == m
return [check(q, pattern) for q in queries]
Complexity
The time complexity is O(n) (after optional sort 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.