Given a fixed-size matrix and a sentence represented by a list of strings, return the number of times the given sentence can be filled on the matrix.
{
"rows": 8,
"cols": 5,
"sentence": ["abcd", "ef", "gh", "ijk", "l", "m"]
}
Output:
2
Given sentence can be filled twice on the screen of size 8 x 5
:
abcd.
ef.gh
ijk.l
m....
abcd.
ef.gh
ijk.l
m....
Assume dot(.) represents an empty space.
{
"rows": 5,
"cols": 5,
"sentence": ["this", "is", "the", "topic", "string"]
}
Output:
0
Constraints:
/*
Asymptotic complexity in terms of \`n\` = length of sentence array,
\`lengthAverage\` is the average length of the words in the input array:
* Time: O(n * (cols / lengthAverage) + rows).
* Auxiliary space: O(n).
* Total space: O(n).
*/
/*
The idea behind this implementation is summarized below:
If we know how many words will be covered in a row starting
with sentence[i], then we can iterate through the rows, and by starting at the very
beginning word, try to count the number of times we can fit the complete sentence in the screen.
*/
int number_of_times(int rows, int cols, vector<string>& sentence) {
int n = sentence.size();
// \`dp[i]\` denotes the index of the word from which the next row will begin if the current row begins at sentence[i].
vector<int> dp(n, 0);
int total_fit = 0;
for (int i = 0; i < n; i++) {
int length = 0;
// \`count\` shows how many words are covered, but since we need to use it as an index in sentence, we need to decrement it.
int count = 0;
int start = i;
while (length <= cols) {
length += sentence[start].size();
start = (start + 1) % n;
count++;
if (length < cols) {
length++;
}
}
dp[i] = count - 1;
}
int k = 0;
for (int i = 0; i < rows; i++) {
// \`total_fit\` keep track of the number of covered words.
total_fit += dp[k];
k = (k + dp[k]) % n;
}
return (total_fit / n);
}
We hope that these solutions to the fill the matrix problem have helped you level up your coding skills. You can expect problems like these at top tech companies like Amazon and Google.
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Given a fixed-size matrix and a sentence represented by a list of strings, return the number of times the given sentence can be filled on the matrix.
{
"rows": 8,
"cols": 5,
"sentence": ["abcd", "ef", "gh", "ijk", "l", "m"]
}
Output:
2
Given sentence can be filled twice on the screen of size 8 x 5
:
abcd.
ef.gh
ijk.l
m....
abcd.
ef.gh
ijk.l
m....
Assume dot(.) represents an empty space.
{
"rows": 5,
"cols": 5,
"sentence": ["this", "is", "the", "topic", "string"]
}
Output:
0
Constraints:
/*
Asymptotic complexity in terms of \`n\` = length of sentence array,
\`lengthAverage\` is the average length of the words in the input array:
* Time: O(n * (cols / lengthAverage) + rows).
* Auxiliary space: O(n).
* Total space: O(n).
*/
/*
The idea behind this implementation is summarized below:
If we know how many words will be covered in a row starting
with sentence[i], then we can iterate through the rows, and by starting at the very
beginning word, try to count the number of times we can fit the complete sentence in the screen.
*/
int number_of_times(int rows, int cols, vector<string>& sentence) {
int n = sentence.size();
// \`dp[i]\` denotes the index of the word from which the next row will begin if the current row begins at sentence[i].
vector<int> dp(n, 0);
int total_fit = 0;
for (int i = 0; i < n; i++) {
int length = 0;
// \`count\` shows how many words are covered, but since we need to use it as an index in sentence, we need to decrement it.
int count = 0;
int start = i;
while (length <= cols) {
length += sentence[start].size();
start = (start + 1) % n;
count++;
if (length < cols) {
length++;
}
}
dp[i] = count - 1;
}
int k = 0;
for (int i = 0; i < rows; i++) {
// \`total_fit\` keep track of the number of covered words.
total_fit += dp[k];
k = (k + dp[k]) % n;
}
return (total_fit / n);
}
We hope that these solutions to the fill the matrix problem have helped you level up your coding skills. You can expect problems like these at top tech companies like Amazon and Google.
If you are preparing for a tech interview at FAANG or any other Tier-1 tech company, register for Interview Kickstart’s FREE webinar to understand the best way to prepare.
Interview Kickstart offers interview preparation courses taught by FAANG+ tech leads and seasoned hiring managers. Our programs include a comprehensive curriculum, unmatched teaching methods, and career coaching to help you nail your next tech interview.
We offer 18 interview preparation courses, each tailored to a specific engineering domain or role, including the most in-demand and highest-paying domains and roles, such as:
To learn more, register for the FREE webinar.
Attend our free webinar to amp up your career and get the salary you deserve.