Maximum Number of Words Found in Sentences
A sentence is a list of words that are separated by a single space with no leading or trailing spaces.
You are given an array of strings sentences, where each sentences[i] represents a single sentence.
Return the maximum number of words that appear in a single sentence.
Example 1:
Input: sentences = ["alice and bob love leetcode", "i think so too", "this is great thanks very much"]
Output: 6
Explanation:
- The first sentence, "alice and bob love leetcode", has 5 words in total.
- The second sentence, "i think so too", has 4 words in total.
- The third sentence, "this is great thanks very much", has 6 words in total.
Thus, the maximum number of words in a single sentence comes from the third sentence, which has 6 words.
Example 2:
Input: sentences = ["please wait", "continue to fight", "continue to win"]
Output: 3
Explanation: It is possible that multiple sentences contain the same number of words.
In this example, the second and third sentences (underlined) have the same number of words.
Constraints:
-
1 <= sentences.length <= 100
. 1 <= sentences[i].length <= 100
-
sentences[i]
consists only of lowercase English letters and' '
only. -
sentences[i]
does not have leading or trailing spaces. - All the words in
sentences[i]
are separated by a single space.
The approach I have used here is the simplest, first I splice() it user forEach loop to fetch a sentence and spit it to count the words in it. Then compare it with temp.
If sentence length is greater than the temp then I keep swiping the value until the maximum word is found.
The code is given below :
var mostWordsFound = function(sentences) {
const splitedArray = sentences.splice(',');
let temp = 0;
splitedArray.forEach((sentance, i) => {
if(sentance.split(' ').length > temp){
temp = sentance.split(' ').length;
}
});
return temp;
};
Time Complexity: O(n)
Space Complexity: O(1)
Following is my code runtime and memory usage.
Runtime And Memory Usage
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