"You are given a string S and a number K as input, and your task is to print S to console output considering that, at most, you can print K characters per line.
Example:
S = "abracadabra sample"
K = 11
Output:
abracadabra
sample
Note that this problem requires the interviewee gather extra requirements from the interviewer (e.g. do we care about multiple white spaces? what if the length of a word is greater than K, ...)"
B. T. - "You are given a string S and a number K as input, and your task is to print S to console output considering that, at most, you can print K characters per line.
Example:
S = "abracadabra sample"
K = 11
Output:
abracadabra
sample
Note that this problem requires the interviewee gather extra requirements from the interviewer (e.g. do we care about multiple white spaces? what if the length of a word is greater than K, ...)"See full answer
"function findPrimes(n) {
if (n < 2) return [];
const primes = [];
for (let i=2; i <= n; i++) {
const half = Math.floor(i/2);
let isPrime = true;
for (let prime of primes) {
if (i % prime === 0) {
isPrime = false;
break;
}
}
if (isPrime) {
primes.push(i);
}
}
return primes;
}
`"
Tiago R. - "function findPrimes(n) {
if (n < 2) return [];
const primes = [];
for (let i=2; i <= n; i++) {
const half = Math.floor(i/2);
let isPrime = true;
for (let prime of primes) {
if (i % prime === 0) {
isPrime = false;
break;
}
}
if (isPrime) {
primes.push(i);
}
}
return primes;
}
`"See full answer
"
from typing import List
def getnumberof_islands(binaryMatrix: List[List[int]]) -> int:
if not binaryMatrix: return 0
rows = len(binaryMatrix)
cols = len(binaryMatrix[0])
islands = 0
for r in range(rows):
for c in range(cols):
if binaryMatrixr == 1:
islands += 1
dfs(binaryMatrix, r, c)
return islands
def dfs(grid, r, c):
if (
r = len(grid)
"
Rick E. - "
from typing import List
def getnumberof_islands(binaryMatrix: List[List[int]]) -> int:
if not binaryMatrix: return 0
rows = len(binaryMatrix)
cols = len(binaryMatrix[0])
islands = 0
for r in range(rows):
for c in range(cols):
if binaryMatrixr == 1:
islands += 1
dfs(binaryMatrix, r, c)
return islands
def dfs(grid, r, c):
if (
r = len(grid)
"See full answer
Software Engineer
Data Structures & Algorithms
+4 more
🧠 Want an expert answer to a question? Saving questions lets us know what content to make next.
"from typing import List
def three_sum(nums: List[int]) -> List[List[int]]:
nums.sort()
triplets = set()
for i in range(len(nums) - 2):
firstNum = nums[i]
l = i + 1
r = len(nums) - 1
while l 0:
r -= 1
elif potentialSum < 0:
l += 1
"
Anonymous Roadrunner - "from typing import List
def three_sum(nums: List[int]) -> List[List[int]]:
nums.sort()
triplets = set()
for i in range(len(nums) - 2):
firstNum = nums[i]
l = i + 1
r = len(nums) - 1
while l 0:
r -= 1
elif potentialSum < 0:
l += 1
"See full answer
"class ListNode:
def init(self, val=0, next=None):
self.val = val
self.next = next
def has_cycle(head: ListNode) -> bool:
slow, fast = head, head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
if slow == fast:
return True
return False
debug your code below
node1 = ListNode(1)
node2 = ListNode(2)
node3 = ListNode(3)
node4 = ListNode(4)
creates a linked list with a cycle: 1 -> 2 -> 3 -> 4"
Anonymous Roadrunner - "class ListNode:
def init(self, val=0, next=None):
self.val = val
self.next = next
def has_cycle(head: ListNode) -> bool:
slow, fast = head, head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
if slow == fast:
return True
return False
debug your code below
node1 = ListNode(1)
node2 = ListNode(2)
node3 = ListNode(3)
node4 = ListNode(4)
creates a linked list with a cycle: 1 -> 2 -> 3 -> 4"See full answer
"Let’s say the matrix is m x n (i.e., m rows and n columns).
Start from the top-right corner of the matrix.
Move left if you see a 1.
Move down if you see a 0.
Keep track of the row index where you last saw the leftmost 1 — that row has the most 1s.
public class MaxOnesRow {
public static int rowWithMostOnes(int matrix) {
int rows = matrix.length;
int cols = matrix[0].length;
int maxRowIndex = -1;
int j = cols - 1; /"
Khushbu R. - "Let’s say the matrix is m x n (i.e., m rows and n columns).
Start from the top-right corner of the matrix.
Move left if you see a 1.
Move down if you see a 0.
Keep track of the row index where you last saw the leftmost 1 — that row has the most 1s.
public class MaxOnesRow {
public static int rowWithMostOnes(int matrix) {
int rows = matrix.length;
int cols = matrix[0].length;
int maxRowIndex = -1;
int j = cols - 1; /"See full answer
"const ops = {
'+': (a, b) => a+b,
'-': (a, b) => a-b,
'/': (a, b) => a/b,
'': (a, b) => ab,
};
function calc(expr) {
// Search for + or -
for (let i=expr.length-1; i >= 0; i--) {
const char = expr.charAt(i);
if (['+', '-'].includes(char)) {
return opschar), calc(expr.slice(i+1)));
}
}
// Search for / or *
for (let i=expr.length-1; i >= 0; i--) {
const char = expr.charAt(i);
if"
Tiago R. - "const ops = {
'+': (a, b) => a+b,
'-': (a, b) => a-b,
'/': (a, b) => a/b,
'': (a, b) => ab,
};
function calc(expr) {
// Search for + or -
for (let i=expr.length-1; i >= 0; i--) {
const char = expr.charAt(i);
if (['+', '-'].includes(char)) {
return opschar), calc(expr.slice(i+1)));
}
}
// Search for / or *
for (let i=expr.length-1; i >= 0; i--) {
const char = expr.charAt(i);
if"See full answer
"Here is my first shot at it. Please excuse formatting.
To find the maximum depth of the dependencies given a list of nodes, each having a unique string id and a list of subnodes it depends on, you can perform a depth-first search (DFS) to traverse the dependency graph. Here's how you can implement this:
Represent the nodes and their dependencies using a dictionary.
Perform a DFS on each node to find the maximum depth of the dependencies.
Keep track of the maximum depth encountered dur"
Tes d H. - "Here is my first shot at it. Please excuse formatting.
To find the maximum depth of the dependencies given a list of nodes, each having a unique string id and a list of subnodes it depends on, you can perform a depth-first search (DFS) to traverse the dependency graph. Here's how you can implement this:
Represent the nodes and their dependencies using a dictionary.
Perform a DFS on each node to find the maximum depth of the dependencies.
Keep track of the maximum depth encountered dur"See full answer
"#include
// Naive method to find a pair in an array with a given sum
void findPair(int nums[], int n, int target)
{
// consider each element except the last
for (int i = 0; i < n - 1; i++)
{
// start from the i'th element until the last element
for (int j = i + 1; j < n; j++)
{
// if the desired sum is found, print it
if (nums[i] + nums[j] == target)
{
printf("Pair found (%d, %d)\n", nums[i], nums[j]);
return;
}
}
}
// we reach here if the pair is not found
printf("Pair not found");
}
"
Gundala tarun,cse2020 V. - "#include
// Naive method to find a pair in an array with a given sum
void findPair(int nums[], int n, int target)
{
// consider each element except the last
for (int i = 0; i < n - 1; i++)
{
// start from the i'th element until the last element
for (int j = i + 1; j < n; j++)
{
// if the desired sum is found, print it
if (nums[i] + nums[j] == target)
{
printf("Pair found (%d, %d)\n", nums[i], nums[j]);
return;
}
}
}
// we reach here if the pair is not found
printf("Pair not found");
}
"See full answer
"public static void sortBinaryArray(int[] array) {
int len = array.length;
int[] res = new int[len];
int r=len-1;
for (int value : array) {
if(value==1){
res[r]= 1;
r--;
}
}
System.out.println(Arrays.toString(res));
}
`"
Nitin P. - "public static void sortBinaryArray(int[] array) {
int len = array.length;
int[] res = new int[len];
int r=len-1;
for (int value : array) {
if(value==1){
res[r]= 1;
r--;
}
}
System.out.println(Arrays.toString(res));
}
`"See full answer