"#include
#include
#include
using namespace std;
vector diff(const vector& A, const vector& B) {
unordered_set elements;
vector result;
for (const auto& element : A) {
elements.insert(element);
}
for (const auto& element : B) {
if (elements.find(element) == elements.end()) {
result.push_back(element);
} else {
elements.erase(element);
}
}
for"
Warrenbuff - "#include
#include
#include
using namespace std;
vector diff(const vector& A, const vector& B) {
unordered_set elements;
vector result;
for (const auto& element : A) {
elements.insert(element);
}
for (const auto& element : B) {
if (elements.find(element) == elements.end()) {
result.push_back(element);
} else {
elements.erase(element);
}
}
for"See full answer
"It was like say we have a library A which has a library B as a dependency and so on, how would we determine in the dependency chain that whether there is a circular depedency?"
Chris R. - "It was like say we have a library A which has a library B as a dependency and so on, how would we determine in the dependency chain that whether there is a circular depedency?"See full answer
"Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."
Gaston B. - "Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."See full answer
"we can use two pointer + set like maintain i,j and also insert jth character to set like while set size is equal to our window j-i+1 then maximize our answer and increase jth pointer till last index"
Kishor J. - "we can use two pointer + set like maintain i,j and also insert jth character to set like while set size is equal to our window j-i+1 then maximize our answer and increase jth pointer till last index"See full answer
"Implemented a recursive function which returns the length of the list so far. when the returned value equals k + 1 , assign current.next = current.next.next. If I made it back to the head return root.next as the new head of the linked list."
דניאל ר. - "Implemented a recursive function which returns the length of the list so far. when the returned value equals k + 1 , assign current.next = current.next.next. If I made it back to the head return root.next as the new head of the linked list."See full answer
"Question: An array of n integers is given, and a positive integer k, where k << n. k indicates that the absolute difference between each element's current index (icurrent) and the index in the sorted array (isorted) is less than k (|icurr - isorted| < k).
Sort the given array.
The most common solution is with a Heap:
def solution(arr, k):
min_heap = []
result = []
for i in range(len(arr))
heapq.heappush(min_heap, arr[i])
"
Guilherme M. - "Question: An array of n integers is given, and a positive integer k, where k << n. k indicates that the absolute difference between each element's current index (icurrent) and the index in the sorted array (isorted) is less than k (|icurr - isorted| < k).
Sort the given array.
The most common solution is with a Heap:
def solution(arr, k):
min_heap = []
result = []
for i in range(len(arr))
heapq.heappush(min_heap, arr[i])
"See full answer
"First thing the interviewee did wrong is not asking clarifying questions. This is the most vague problem I have every heard, and the interviewee just made assumptions and started programming."
Nicholas S. - "First thing the interviewee did wrong is not asking clarifying questions. This is the most vague problem I have every heard, and the interviewee just made assumptions and started programming."See full answer
"find total sum. assign that to rightsum
traverse from left to right: keep updating left sum and right sum, when they match return the index.
else if you reach end return -1 or not found"
Rahul J. - "find total sum. assign that to rightsum
traverse from left to right: keep updating left sum and right sum, when they match return the index.
else if you reach end return -1 or not found"See full answer
"#inplace reversal without inbuilt functions
def reverseString(s):
chars = list(s)
l, r = 0, len(s)-1
while l < r:
chars[l],chars[r] = chars[r],chars[l]
l += 1
r -= 1
reversed = "".join(chars)
return reversed
"
Anonymous Possum - "#inplace reversal without inbuilt functions
def reverseString(s):
chars = list(s)
l, r = 0, len(s)-1
while l < r:
chars[l],chars[r] = chars[r],chars[l]
l += 1
r -= 1
reversed = "".join(chars)
return reversed
"See full answer
"// C++ program to print the count of
// subsets with sum equal to the given value X
#include
using namespace std;
// Recursive function to return the count
// of subsets with sum equal to the given value
int subsetSum(int arr[], int n, int i,
int sum, int count)
{
// The recursion is stopped at N-th level
// where all the subsets of the given array
// have been checked
if (i == n) {
// Incrementing the count if sum is
// equal to 0 and returning the count
if (sum == 0)"
Ajay U. - "// C++ program to print the count of
// subsets with sum equal to the given value X
#include
using namespace std;
// Recursive function to return the count
// of subsets with sum equal to the given value
int subsetSum(int arr[], int n, int i,
int sum, int count)
{
// The recursion is stopped at N-th level
// where all the subsets of the given array
// have been checked
if (i == n) {
// Incrementing the count if sum is
// equal to 0 and returning the count
if (sum == 0)"See full answer
"Traverse the array of points while computing the distance and pushing it to the heap. Then traverse again the heap and pop the k closest. Time O(nlogn) Space O(n)"
Dadja Z. - "Traverse the array of points while computing the distance and pushing it to the heap. Then traverse again the heap and pop the k closest. Time O(nlogn) Space O(n)"See full answer
"Given a Binary Tree, the task is to find its vertical traversal starting from the leftmost level to the rightmost level. If multiple nodes pass through a vertical line, they should be printed as they appear in the level order traversal of the tree.
The idea is to traverse the tree using dfs and maintain a hashmap to store nodes at each horizontal distance (HD) from the root. Starting with an HD of 0 at the root, the HD is decremented for left children and incremented for right children. As we"
Anonymous Mongoose - "Given a Binary Tree, the task is to find its vertical traversal starting from the leftmost level to the rightmost level. If multiple nodes pass through a vertical line, they should be printed as they appear in the level order traversal of the tree.
The idea is to traverse the tree using dfs and maintain a hashmap to store nodes at each horizontal distance (HD) from the root. Starting with an HD of 0 at the root, the HD is decremented for left children and incremented for right children. As we"See full answer