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| 1 | +const pyCode = ` |
| 2 | +class SegmentTree: |
| 3 | + def __init__(self, data:List[int]): |
| 4 | + ''' |
| 5 | + data:传入的数组 |
| 6 | + ''' |
| 7 | + self.data = data |
| 8 | + self.n = len(data) |
| 9 | + # 申请4倍data长度的空间来存线段树节点 |
| 10 | + self.tree = [None] * (4 * self.n) # 索引i的左孩子索引为2i+1,右孩子为2i+2 |
| 11 | + if self.n: |
| 12 | + self.build(0, 0, self.n-1) |
| 13 | + # 本质就是一个自底向上的更新过程 |
| 14 | + # 因此可以使用后序遍历,即在函数返回的时候更新父节点。 |
| 15 | + def update(self, tree_index, l, r, index): |
| 16 | + ''' |
| 17 | + tree_index:某个根节点索引 |
| 18 | + l, r : 此根节点代表区间的左右边界 |
| 19 | + index : 更新的值的索引 |
| 20 | + ''' |
| 21 | + if l == r==index : |
| 22 | + self.tree[tree_index] = self.data[index] |
| 23 | + return |
| 24 | + mid = (l+r)//2 |
| 25 | + left, right = 2 * tree_index + 1, 2 * tree_index + 2 |
| 26 | + if index > mid: |
| 27 | + # 要更新的区间在右子树 |
| 28 | + self.update(right, mid+1, r, index) |
| 29 | + else: |
| 30 | + # 要更新的区间在左子树index<=mid |
| 31 | + self.update(left, l, mid, index) |
| 32 | + # 查询区间一部分在左子树一部分在右子树 |
| 33 | + # 区间和使用加法即可,如果不是区间和要改下面这行代码 |
| 34 | + self.tree[tree_index] = self.tree[left] + self.tree[right] |
| 35 | + |
| 36 | + def updateSum(self,index:int,value:int): |
| 37 | + self.data[index] = value |
| 38 | + self.update(0, 0, self.n-1, index) |
| 39 | + def query(self, tree_index:int, l:int, r:int, ql:int, qr:int) -> int: |
| 40 | + ''' |
| 41 | + 递归查询区间[ql,..,qr]的值 |
| 42 | + tree_index : 某个根节点的索引 |
| 43 | + l, r : 该节点表示的区间的左右边界 |
| 44 | + ql, qr: 待查询区间的左右边界 |
| 45 | + ''' |
| 46 | + if l == ql and r == qr: |
| 47 | + return self.tree[tree_index] |
| 48 | + |
| 49 | + # 区间中点,对应左孩子区间结束,右孩子区间开头 |
| 50 | + mid = (l+r) // 2 |
| 51 | + left, right = tree_index * 2 + 1, tree_index * 2 + 2 |
| 52 | + if qr <= mid: |
| 53 | + # 查询区间全在左子树 |
| 54 | + return self.query(left, l, mid, ql, qr) |
| 55 | + elif ql > mid: |
| 56 | + # 查询区间全在右子树 |
| 57 | + return self.query(right, mid+1, r, ql, qr) |
| 58 | + |
| 59 | + # 查询区间一部分在左子树一部分在右子树 |
| 60 | + # 区间和使用加法即可,如果不是区间和要改下面这行代码 |
| 61 | + return self.query(left, l, mid, ql, mid) + self.query(right, mid+1, r, mid+1, qr) |
| 62 | +
|
| 63 | + def querySum(self, ql:int, qr:int) -> int: |
| 64 | + ''' |
| 65 | + 返回区间[ql,..,qr]的和 |
| 66 | + ''' |
| 67 | + return self.query(0, 0, self.n-1, ql, qr) |
| 68 | +
|
| 69 | + def build(self, tree_index:int, l:int, r:int): |
| 70 | + ''' |
| 71 | + 递归创建线段树 |
| 72 | + tree_index : 线段树节点在数组中位置 |
| 73 | + l, r : 该节点表示的区间的左,右边界 |
| 74 | + ''' |
| 75 | + if l == r: |
| 76 | + self.tree[tree_index] = self.data[l] |
| 77 | + return |
| 78 | + mid = (l+r) // 2 # 区间中点,对应左孩子区间结束,右孩子区间开头 |
| 79 | + left, right = 2 * tree_index + 1, 2 * tree_index + 2 # tree_index的左右子树索引 |
| 80 | + self.build(left, l, mid) |
| 81 | + self.build(right, mid+1, r) |
| 82 | + # 区间和使用加法即可,如果不是区间和要改下面这行代码 |
| 83 | + self.tree[tree_index] = self.tree[left] + self.tree[right] |
| 84 | +`; |
| 85 | + |
| 86 | +module.exports = { |
| 87 | + title: "线段树", |
| 88 | + list: [ |
| 89 | + { |
| 90 | + text: "区间和线段树", |
| 91 | + problems: [ |
| 92 | + { |
| 93 | + id: "range-sum-query-immutable", |
| 94 | + title: "303. 区域和检索 - 数组不可变(使用一维前缀和会更简单)", |
| 95 | + }, |
| 96 | + { |
| 97 | + id: "range-sum-query-mutable", |
| 98 | + title: "307. 区域和检索 - 数组可修改", |
| 99 | + }, |
| 100 | + ], |
| 101 | + codes: [ |
| 102 | + { |
| 103 | + language: "py", |
| 104 | + text: pyCode, |
| 105 | + }, |
| 106 | + ], |
| 107 | + }, |
| 108 | + ], |
| 109 | + link: "", |
| 110 | +}; |
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