"Construct a min-heap either inplace, or by making a copy of the array and then applying heapify on that copy. This is done in O(n) time.
Maintain two zero-initialised variables - sum and count.
Keep popping off the heap while sum < k, and update count.
In the worst case you will have to do n pops, and each pop is O(log n), so the algorithm would take O(n log n) in total. Space complexity depends on whether you're allowed to modify inplace or not, so either O(1) or O(n) respectively."
Anonymous Wolf - "Construct a min-heap either inplace, or by making a copy of the array and then applying heapify on that copy. This is done in O(n) time.
Maintain two zero-initialised variables - sum and count.
Keep popping off the heap while sum < k, and update count.
In the worst case you will have to do n pops, and each pop is O(log n), so the algorithm would take O(n log n) in total. Space complexity depends on whether you're allowed to modify inplace or not, so either O(1) or O(n) respectively."See full answer
"In keeping with the STAR method, I discussed a mandated change in our vendors where we were swapping one contracting company for another with little time for transition. My actions included leveraging skills of my employees to develop a transition plan so that the transition was minimally disruptive to our projects."
Catherine I. - "In keeping with the STAR method, I discussed a mandated change in our vendors where we were swapping one contracting company for another with little time for transition. My actions included leveraging skills of my employees to develop a transition plan so that the transition was minimally disruptive to our projects."See full answer
Software Engineer
Behavioral
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"Sorting is a technique to arrange data in either increasing order or decreasing order, and, the function that implements this functionality is called sort function"
Farhan -. - "Sorting is a technique to arrange data in either increasing order or decreasing order, and, the function that implements this functionality is called sort function"See full answer
"A full stack developer could be summarized as the person who both writes the APIs and consumes the APIs. They are familiar with Databases/Data-layer services, middle-layer/application services and business logic, and finally familiar with the consumers whether front-end applications/UIs or other systems. They can understand the trade-offs up and down the stack, where to adjust along the service-call-path. Ideally they are comfortable programming both async calls (front end javascript promises, e"
Luke P. - "A full stack developer could be summarized as the person who both writes the APIs and consumes the APIs. They are familiar with Databases/Data-layer services, middle-layer/application services and business logic, and finally familiar with the consumers whether front-end applications/UIs or other systems. They can understand the trade-offs up and down the stack, where to adjust along the service-call-path. Ideally they are comfortable programming both async calls (front end javascript promises, e"See full answer
"inheritance means its acquire all properties from parent class to child class.composition means its acquire some properties as our request is called composition"
Niteesh V. - "inheritance means its acquire all properties from parent class to child class.composition means its acquire some properties as our request is called composition"See full answer
"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