Contents

LeetCode 2000. Reverse Prefix of Word 解題紀錄

題目

Problem

Given a 0-indexed string word and a character ch, reverse the segment of word that starts at index 0 and ends at the index of the first occurrence of ch (inclusive). If the character ch does not exist in word, do nothing.

For example, if word = "abcdefd" and ch = "d", then you should reverse the segment that starts at 0 and ends at 3 (inclusive). The resulting string will be "dcbaefd". Return the resulting string.

Example 1:

Input: word = "abcdefd", ch = "d"
Output: "dcbaefd"

Explanation: The first occurrence of “d” is at index 3. Reverse the part of word from 0 to 3 (inclusive), the resulting string is “dcbaefd”.

Example 2:

Input: word = "xyxzxe", ch = "z"
Output: "zxyxxe"

Explanation: The first and only occurrence of “z” is at index 3. Reverse the part of word from 0 to 3 (inclusive), the resulting string is “zxyxxe”.

Example 3:

Input: word = "abcd", ch = "z"
Output: "abcd"

Explanation: “z” does not exist in word. You should not do any reverse operation, the resulting string is “abcd”.

Constraints:

  • 1 $\leq$ word.length $\leq$ 250
  • word consists of lowercase English letters.
  • ch is a lowercase English letter.

想法

  1. Find the position of ch, and then swap all the characters from 0 to the position of ch
  2. STL trick in two lines: find the position of ch, then reverse.

解法

解法一

交換文字片段
交換文字片段
string reversePrefix(string word, char ch) {

	// get the position of 'ch'
	int ch_pos = word.find(ch);

	// if 'ch' is not in the string, return it
	if(ch_pos == -1)
	{
		return word;
	}

	// if 'ch' exists in the string, swap those characters from index 0 to ch_pos
	// mind that we only have to swap ch_pos/2 times
	for(auto i=0; i<=ch_pos/2; i++)
	{
		int temp = word[ch_pos-i];
		word[ch_pos-i] = word[i];
		word[i] = temp;
	}

	return word;
}
  • Time complexity: $\mathcal{O}(n)$.
  • Space complexity: $\mathcal{O}(1)$.

解法二

string reversePrefix(string word, char ch) {

	reverse(word.begin(), word.begin()+word.find(ch)+1);

	return word;
}
  • Time complexity: $\mathcal{O}(n)$.
  • Space complexity: $\mathcal{O}(1)$.