"public static List Merge(List array1, List array2)
{
if (array1.Count == 0) return array2;
if (array2.Count == 0) return array1;
var result = new List();
// Identify starting array, array with largest starting element
var array = array1[0] > array2[0] ? array2 : array1;
var other = array1[0] > array2[0] ? array1 : array2;
// loop until we hit end of an array
int arrayIndex = 0;
int otherIndex = 0;
while(arrayIndex"
Mark S. - "public static List Merge(List array1, List array2)
{
if (array1.Count == 0) return array2;
if (array2.Count == 0) return array1;
var result = new List();
// Identify starting array, array with largest starting element
var array = array1[0] > array2[0] ? array2 : array1;
var other = array1[0] > array2[0] ? array1 : array2;
// loop until we hit end of an array
int arrayIndex = 0;
int otherIndex = 0;
while(arrayIndex"See full answer
"
O(n) time, O(1) space
from typing import List
def maxsubarraysum(nums: List[int]) -> int:
if len(nums) == 0:
return 0
maxsum = currsum = nums[0]
for i in range(1, len(nums)):
currsum = max(currsum + nums[i], nums[i])
maxsum = max(currsum, max_sum)
return max_sum
debug your code below
print(maxsubarraysum([-1, 2, -3, 4]))
`"
Rick E. - "
O(n) time, O(1) space
from typing import List
def maxsubarraysum(nums: List[int]) -> int:
if len(nums) == 0:
return 0
maxsum = currsum = nums[0]
for i in range(1, len(nums)):
currsum = max(currsum + nums[i], nums[i])
maxsum = max(currsum, max_sum)
return max_sum
debug your code below
print(maxsubarraysum([-1, 2, -3, 4]))
`"See full answer
"An Object Oriented programming deals with data and members.
An Object Oriented Programming consumes more memory.
An OOPS Consist of bottom-up approach.
An OOPS is more secure Than POP.
POP.
An POP deals with Functions.
An POP is less secure compare to OOPS.
An POP contains less memory.
An POP doesnt contain acess Modifiers."
Arun G. - "An Object Oriented programming deals with data and members.
An Object Oriented Programming consumes more memory.
An OOPS Consist of bottom-up approach.
An OOPS is more secure Than POP.
POP.
An POP deals with Functions.
An POP is less secure compare to OOPS.
An POP contains less memory.
An POP doesnt contain acess Modifiers."See full answer
"// Helper function to calculate the Euclidean distance between two points
function distance(p1, p2) {
return Math.sqrt(Math.pow(p1[0] - p2[0], 2) + Math.pow(p1[1] - p2[1], 2));
}
// A helper function to find the closest pair in a given set of points within the strip
function closestPairInStrip(strip, d) {
let minDist = d; // Start with the current minimum distance
strip.sort((a, b) => a[1] - b[1]); // Sort the strip by y-coordinate
for (let i = 0; i < strip.length; i++) {
"
Vishnu V. - "// Helper function to calculate the Euclidean distance between two points
function distance(p1, p2) {
return Math.sqrt(Math.pow(p1[0] - p2[0], 2) + Math.pow(p1[1] - p2[1], 2));
}
// A helper function to find the closest pair in a given set of points within the strip
function closestPairInStrip(strip, d) {
let minDist = d; // Start with the current minimum distance
strip.sort((a, b) => a[1] - b[1]); // Sort the strip by y-coordinate
for (let i = 0; i < strip.length; i++) {
"See full answer
Machine Learning Engineer
Coding
+1 more
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"from typing import List
def traprainwater(height: List[int]) -> int:
if not height:
return 0
l, r = 0, len(height) - 1
leftMax, rightMax = height[l], height[r]
res = 0
while l < r:
if leftMax < rightMax:
l += 1
leftMax = max(leftMax, height[l])
res += leftMax - height[l]
else:
r -= 1
rightMax = max(rightMax, height[r])
"
Anonymous Roadrunner - "from typing import List
def traprainwater(height: List[int]) -> int:
if not height:
return 0
l, r = 0, len(height) - 1
leftMax, rightMax = height[l], height[r]
res = 0
while l < r:
if leftMax < rightMax:
l += 1
leftMax = max(leftMax, height[l])
res += leftMax - height[l]
else:
r -= 1
rightMax = max(rightMax, height[r])
"See full answer
"Evaluate product performance metrics against projections, rationalize performance, and identify opportunities to optimize performance"
Frank A. - "Evaluate product performance metrics against projections, rationalize performance, and identify opportunities to optimize performance"See full answer