Given a string s containing a set of words, transform it such that the words appear in the reverse order. Words in s are separated by one or more spaces.
Input: “I will do it.”
Output: “it. do will I”
Input: ” word1 word2 ” (Note: there are 3 spaces in the beginning, 2 spaces between the words and 1 space at the end.)
Output: ” word2 word1 ” (Note: there is 1 space in the beginning, 2 spaces between the words and 3 spaces at the end.)
Input: “word1, word2;”
Output: “word2; word1,”
Input Parameters: Function one argument, string s.
output: Return a string with the answer.
● 1
● s contains only lowercase and uppercase alphabetical characters, spaces and punctuation marks “.,?!’:;-” (quotes not included).
Punctuation marks are considered a part of the word.
Usage of built-in string functions is NOT allowed.
An in-place linear solution is expected.
For languages that have immutable strings, convert the input string into a character array and work in-place on that array. Convert it back to the string before returning. Ignore the extra linear space used in that conversion, as long as you’re only using constant space after conversion to character array.
Trivia: This is a very old interview question. Google used it as one of their qualifier questions in Google CodeJam in the past, too.
One idea for the solution is:
1) Reverse the whole string.
2) Then reverse the individual words.
For example, if the input is:
s = “Have a nice day!”
1) Then first reverse the whole string,
s = “!yad ecin a evaH”
2) Then reverse the individual words,
s = “day! nice a Have”
O(n).
The first pass over the string is obviously O(n/2) = O(n). The second pass is O(n + combined length of all words / 2) = O(n + n/2) = O(n), which makes this an O(n) algorithm.
O(1).
O(n).
// -------- START --------
/*
Suppose s = "abcdefgh" and we call reverse_string(s[2], 4) then this function will reverse "cdef"
part of "abcdefgh".
*/
void reverse_string(char *str, int len)
{
for(int i = 0; i < len / 2; i++)
{
swap(str[i], str[len - 1 - i]);
}
}
string reverse_ordering_of_words(string s)
{
int len = s.length();
// Reverse whole string.
reverse_string(&s[0], len);
int word_beginning = 0;
// Find word boundaries and reverse word by word.
for(int word_end = 0; word_end < len; word_end++)
{
if(s[word_end] == ' ')
{
reverse_string(&s[word_beginning] , word_end - word_beginning);
word_beginning = word_end + 1;
}
}
/*
If there is no space at the end then last word will not be reversed in the above for loop.
So need to reverse it.
Think about s = "hi".
Reverse the last word.
*/
reverse_string(&s[word_beginning], len - word_beginning);
return s;
}
// -------- END --------
Master ML interviews with DSA, ML System Design, Supervised/Unsupervised Learning, DL, and FAANG-level interview prep.
Get strategies to ace TPM interviews with training in program planning, execution, reporting, and behavioral frameworks.
Course covering SQL, ETL pipelines, data modeling, scalable systems, and FAANG interview prep to land top DE roles.
Course covering Embedded C, microcontrollers, system design, and debugging to crack FAANG-level Embedded SWE interviews.
Nail FAANG+ Engineering Management interviews with focused training for leadership, Scalable System Design, and coding.
End-to-end prep program to master FAANG-level SQL, statistics, ML, A/B testing, DL, and FAANG-level DS interviews.
Time Zone:
Join 25,000+ tech professionals who’ve accelerated their careers with cutting-edge AI skills
25,000+ Professionals Trained
₹23 LPA Average Hike 60% Average Hike
600+ MAANG+ Instructors
Webinar Slot Blocked
Register for our webinar
Learn about hiring processes, interview strategies. Find the best course for you.
ⓘ Used to send reminder for webinar
Time Zone: Asia/Kolkata
Time Zone: Asia/Kolkata
Hands-on AI/ML learning + interview prep to help you win
Explore your personalized path to AI/ML/Gen AI success
The 11 Neural “Power Patterns” For Solving Any FAANG Interview Problem 12.5X Faster Than 99.8% OF Applicants
The 2 “Magic Questions” That Reveal Whether You’re Good Enough To Receive A Lucrative Big Tech Offer
The “Instant Income Multiplier” That 2-3X’s Your Current Tech Salary