1354-construct-target-array-with-multiple-sums¶
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Description¶
You are given an array target of n integers. From a starting array arr consisting of n 1's, you may perform the following procedure :
- let
xbe the sum of all elements currently in your array. - choose index
i, such that0 <= i < nand set the value ofarrat indexitox. - You may repeat this procedure as many times as needed.
Return true if it is possible to construct the target array from arr, otherwise, return false.
Example 1:
Input: target = [9,3,5] Output: true Explanation: Start with arr = [1, 1, 1] [1, 1, 1], sum = 3 choose index 1 [1, 3, 1], sum = 5 choose index 2 [1, 3, 5], sum = 9 choose index 0 [9, 3, 5] Done
Example 2:
Input: target = [1,1,1,2] Output: false Explanation: Impossible to create target array from [1,1,1,1].
Example 3:
Input: target = [8,5] Output: true
Constraints:
n == target.length1 <= n <= 5 * 1041 <= target[i] <= 109
Solution(Python)¶
class Solution:
def isPossible(self, target: List[int]) -> bool:
if len(target) == 1:
return target[0] == 1
total_sum = sum(target)
# Use a min-heap by pushing negative values to simulate a max-heap
max_heap = [-num for num in target]
heapq.heapify(max_heap)
while -max_heap[0] > 1:
max_val = -heapq.heappop(max_heap)
rest_sum = total_sum - max_val
# Edge cases and impossibility checks
if rest_sum == 1:
return True
if rest_sum == 0 or max_val <= rest_sum:
return False
# Calculate the previous value using modulo
prev_val = max_val% rest_sum
# If prev_val is 0, it indicates an impossible state
if prev_val == 0:
return False
total_sum = rest_sum + prev_val
heapq.heappush(max_heap, -prev_val)
return True