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| 1 | +/** |
| 2 | + * @param {number[]} nums |
| 3 | + * @param {number} k |
| 4 | + * @param {number} dist |
| 5 | + * @return {number} |
| 6 | + */ |
| 7 | +var minimumCost = function (nums, k, dist) { |
| 8 | + // store k-1 smallest elements |
| 9 | + const maxHeap = new PriorityQueue({ compare: (a, b) => b - a }) |
| 10 | + // store dist - k + 1 biggest elements |
| 11 | + const minHeap = new PriorityQueue({ compare: (a, b) => a - b }) |
| 12 | + const maxDiscard = {} |
| 13 | + const minDiscard = {} |
| 14 | + let sum = nums[0] |
| 15 | + let start = 1 |
| 16 | + let end = start |
| 17 | + while (end - start < k - 1) { |
| 18 | + maxHeap.enqueue(nums[end]) |
| 19 | + sum += nums[end] |
| 20 | + end++ |
| 21 | + } |
| 22 | + // now there are k-1 elemetns in the Max heap |
| 23 | + while (end - start <= dist) { |
| 24 | + maxHeap.enqueue(nums[end]) |
| 25 | + sum += nums[end] |
| 26 | + let dequeued = maxHeap.dequeue() |
| 27 | + sum -= dequeued |
| 28 | + minHeap.enqueue(dequeued) |
| 29 | + end++ |
| 30 | + } |
| 31 | + |
| 32 | + let minSum = sum |
| 33 | + while (end < nums.length) { |
| 34 | + if (k - 2 === dist) { |
| 35 | + sum += nums[end++] |
| 36 | + sum -= nums[start++] |
| 37 | + } else { |
| 38 | + discardMin() |
| 39 | + |
| 40 | + if (nums[start] < minHeap.front()) { |
| 41 | + maxDiscard[nums[start]] = 1 + (maxDiscard[nums[start]] ?? 0) |
| 42 | + sum -= nums[start] |
| 43 | + |
| 44 | + sum += minHeap.front() |
| 45 | + maxHeap.enqueue(minHeap.dequeue()) |
| 46 | + } else minDiscard[nums[start]] = 1 + (minDiscard[nums[start]] ?? 0) |
| 47 | + |
| 48 | + maxHeap.enqueue(nums[end]) |
| 49 | + sum += nums[end] |
| 50 | + |
| 51 | + discardMax() |
| 52 | + sum -= maxHeap.front() |
| 53 | + minHeap.enqueue(maxHeap.dequeue()) |
| 54 | + |
| 55 | + end++ |
| 56 | + start++ |
| 57 | + } |
| 58 | + minSum = Math.min(minSum, sum) |
| 59 | + } |
| 60 | + |
| 61 | + function discardMax() { |
| 62 | + if (maxHeap.isEmpty()) return |
| 63 | + |
| 64 | + while (maxDiscard[maxHeap.front()]) { |
| 65 | + maxDiscard[maxHeap.front()]-- |
| 66 | + maxHeap.dequeue() |
| 67 | + } |
| 68 | + } |
| 69 | + function discardMin() { |
| 70 | + if (minHeap.isEmpty()) return |
| 71 | + |
| 72 | + while (minDiscard[minHeap.front()]) { |
| 73 | + minDiscard[minHeap.front()]-- |
| 74 | + minHeap.dequeue() |
| 75 | + } |
| 76 | + } |
| 77 | + |
| 78 | + return minSum |
| 79 | +} |
| 80 | + |
| 81 | +// another |
| 82 | + |
| 83 | + |
1 | 84 | //#region AVL Tree |
2 | 85 | /** |
3 | 86 | * @typedef {"keep-all" | "override" | "ignore"} DuplicateMode |
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