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★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★ You are given a list of blocks, where A worker can either split into two workers (number of workers increases by one) or build a block then go home. Both decisions cost some time. The time cost of spliting one worker into two workers is given as an integer Output the minimum time needed to build all blocks. Initially, there is only one worker.
Example 1: Input: blocks = 1
Output: 1
Explanation: We use 1 worker to build 1 block in 1 time unit.
Example 2: Input: blocks = 5
Output: 7
Explanation: We split the worker into 2 workers in 5 time units then assign each of them to a block so the cost is 5 + max(1, 2) = 7.
Example 3: Input: blocks = 1
Output: 4
Explanation: Split 1 worker into 2, then assign the first worker to the last block and split the second worker into 2.
Then, use the two unassigned workers to build the first two blocks.
The cost is 1 + max(3, 1 + max(1, 2)) = 4.
Note:
你是个城市规划工作者,手里负责管辖一系列的街区。在这个街区列表中 由于一个街区只能由一个工人来完成建造。 所以,一个工人要么需要再召唤一个工人(工人数增加 1);要么建造完一个街区后回家。这两个决定都需要花费一定的时间。 一个工人再召唤一个工人所花费的时间由整数 注意:如果两个工人同时召唤别的工人,那么他们的行为是并行的,所以时间花费仍然是 最开始的时候只有 一个 工人,请你最后输出建造完所有街区所需要的最少时间。
示例 1: 输入:blocks = [1], split = 1 输出:1 解释:我们使用 1 个工人在 1 个时间单位内来建完 1 个街区。 示例 2: 输入:blocks = [1,2], split = 5 输出:7 解释:我们用 5 个时间单位将这个工人分裂为 2 个工人,然后指派每个工人分别去建造街区,从而时间花费为 5 + max(1, 2) = 7 示例 3: 输入:blocks = [1,2,3], split = 1 输出:4 解释: 将 1 个工人分裂为 2 个工人,然后指派第一个工人去建造最后一个街区,并将第二个工人分裂为 2 个工人。 然后,用这两个未分派的工人分别去建造前两个街区。 时间花费为 1 + max(3, 1 + max(1, 2)) = 4
提示:
优先队列 1 class Solution { 2 func minBuildTime(_ blocks: [Int], _ split: Int) -> Int { 3 var pq = PriorityQueue<Int> { $0 < $1 } 4 for v in blocks 5 { 6 pq.push(v) 7 } 8 while(pq.count >= 2) 9 { 10 let x:Int = pq.pop()! 11 let y:Int = pq.pop()! 12 pq.push(y + split) 13 } 14 return pq.pop() ?? 0 15 } 16 } 17 18 public struct PriorityQueue<T> { 19 fileprivate var heap: Heap<T> 20 public init(sort: @escaping (T, T) -> Bool) { 21 heap = Heap(sort: sort) 22 } 23 24 public var isEmpty: Bool { 25 return heap.isEmpty 26 } 27 28 public var count: Int { 29 return heap.count 30 } 31 32 public func peek() -> T? { 33 return heap.peek() 34 } 35 36 public mutating func push(_ element: T) { 37 heap.insert(element) 38 } 39 40 public mutating func pop() -> T? { 41 return heap.remove() 42 } 43 44 public mutating func changePriority(index i: Int, value: T) { 45 return heap.replace(index: i, value: value) 46 } 47 } 48 49 extension PriorityQueue where T: Equatable { 50 public func index(of element: T) -> Int? { 51 return heap.index(of: element) 52 } 53 } 54 55 public struct Heap<T> { 56 var nodes = [T]() 57 58 private var orderCriteria: (T, T) -> Bool 59 60 public init(sort: @escaping (T, T) -> Bool) { 61 self.orderCriteria = sort 62 } 63 64 public init(array: [T], sort: @escaping (T, T) -> Bool) { 65 self.orderCriteria = sort 66 configureHeap(from: array) 67 } 68 69 private mutating func configureHeap(from array: [T]) { 70 nodes = array 71 for i in stride(from: (nodes.count/2-1), through: 0, by: -1) { 72 shiftDown(i) 73 } 74 } 75 76 public var isEmpty: Bool { 77 return nodes.isEmpty 78 } 79 80 public var count: Int { 81 return nodes.count 82 } 83 84 @inline(__always) internal func parentIndex(ofIndex i: Int) -> Int { 85 return (i - 1) / 2 86 } 87 88 @inline(__always) internal func leftChildIndex(ofIndex i: Int) -> Int { 89 return 2*i + 1 90 } 91 92 @inline(__always) internal func rightChildIndex(ofIndex i: Int) -> Int { 93 return 2*i + 2 94 } 95 96 public func peek() -> T? { 97 return nodes.first 98 } 99 100 public mutating func insert(_ value: T) { 101 nodes.append(value) 102 shiftUp(nodes.count - 1) 103 } 104 105 public mutating func insert<S: Sequence>(_ sequence: S) where S.Iterator.Element == T { 106 for value in sequence { 107 insert(value) 108 } 109 } 110 111 public mutating func replace(index i: Int, value: T) { 112 guard i < nodes.count else { return } 113 114 remove(at: i) 115 insert(value) 116 } 117 118 @discardableResult public mutating func remove() -> T? { 119 guard !nodes.isEmpty else { return nil } 120 121 if nodes.count == 1 { 122 return nodes.removeLast() 123 } else { 124 let value = nodes[0] 125 nodes[0] = nodes.removeLast() 126 shiftDown(0) 127 return value 128 } 129 } 130 131 @discardableResult public mutating func remove(at index: Int) -> T? { 132 guard index < nodes.count else { return nil } 133 134 let size = nodes.count - 1 135 if index != size { 136 nodes.swapAt(index, size) 137 shiftDown(from: index, until: size) 138 shiftUp(index) 139 } 140 return nodes.removeLast() 141 } 142 143 internal mutating func shiftUp(_ index: Int) { 144 var childIndex = index 145 let child = nodes[childIndex] 146 var parentIndex = self.parentIndex(ofIndex: childIndex) 147 148 while childIndex > 0 && orderCriteria(child, nodes[parentIndex]) { 149 nodes[childIndex] = nodes[parentIndex] 150 childIndex = parentIndex 151 parentIndex = self.parentIndex(ofIndex: childIndex) 152 } 153 154 nodes[childIndex] = child 155 } 156 157 internal mutating func shiftDown(from index: Int, until endIndex: Int) { 158 let leftChildIndex = self.leftChildIndex(ofIndex: index) 159 let rightChildIndex = leftChildIndex + 1 160 161 var first = index 162 if leftChildIndex < endIndex && orderCriteria(nodes[leftChildIndex], nodes[first]) { 163 first = leftChildIndex 164 } 165 if rightChildIndex < endIndex && orderCriteria(nodes[rightChildIndex], nodes[first]) { 166 first = rightChildIndex 167 } 168 if first == index { return } 169 170 nodes.swapAt(index, first) 171 shiftDown(from: first, until: endIndex) 172 } 173 174 internal mutating func shiftDown(_ index: Int) { 175 shiftDown(from: index, until: nodes.count) 176 } 177 178 } 179 180 extension Heap where T: Equatable { 181 182 public func index(of node: T) -> Int? { 183 return nodes.firstIndex(where: { $0 == node }) 184 } 185 186 @discardableResult public mutating func remove(node: T) -> T? { 187 if let index = index(of: node) { 188 return remove(at: index) 189 } 190 return nil 191 } 192 }
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