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Leetcode #1455: Check If a Word Occurs As a Prefix of Any Word in a Sentence

In this guide, we solve Leetcode #1455 Check If a Word Occurs As a Prefix of Any Word in a Sentence 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

Given a sentence that consists of some words separated by a single space, and a searchWord, check if searchWord is a prefix of any word in sentence. Return the index of the word in sentence (1-indexed) where searchWord is a prefix of this word.

Quick Facts

  • Difficulty: Easy
  • Premium: No
  • Tags: 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: sentence = "i love eating burger", searchWord = "burg" Output: 4 Explanation: "burg" is prefix of "burger" which is the 4th word in the sentence.

Python Solution

class Solution: def isPrefixOfWord(self, sentence: str, searchWord: str) -> int: for i, s in enumerate(sentence.split(), 1): if s.startswith(searchWord): return i return -1

Complexity

The time complexity is O(m×n)O(m \times n)O(m×n), and the space complexity is O(m)O(m)O(m). The space complexity is O(m)O(m)O(m).

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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