def build():
nonlocal i
if i == len(s):
return
val = ''
# 提取数字
while i < len(s) and (s[i].isdigit() or s[i] == '-'):
val += s[i]
i += 1
# 建立根节点
root = TreeNode(val)
# 如果有左子树
if i < len(s) and s[i] == '(':
# 跳过左括号
i += 1
root.left = build()
# 跳过右括号
i += 1
# 如果有右子树
if i < len(s) and s[i] == '(':
# 跳过左括号
i += 1
root.right = build()
# 跳过右括号
i += 1
return root
def removeLeafNodes(self, root: TreeNode, target: int) -> TreeNode:
if not root:
return None
root.left = self.removeLeafNodes(root.left, target)
root.right = self.removeLeafNodes(root.right, target)
if root.left is None and root.right is None and root.val == target:
return None
return root
def buildTree(self, preorder, inorder):
if not inorder:
return None # inorder is empty
root = TreeNode(preorder[0])
root_pos = inorder.index(preorder[0])
root.left = self.buildTree(preorder[1: 1 + root_pos], inorder[: root_pos])
root.right = self.buildTree(preorder[root_pos + 1:], inorder[root_pos + 1:])
return root
def builder():
val = next(chunk_iter)
if val == '#':
return None
node = TreeNode(int(val))
node.left = builder()
node.right = builder()
return node
def insertIntoBST(self, root: TreeNode, val: int) -> TreeNode:
node = TreeNode(val)
if not root: return node
if val > root.val:
root.right = self.insertIntoBST(root.right, val)
else:
root.left = self.insertIntoBST(root.left, val)
return root
def rebuild(l):
if l[0] == "None":
l.pop(0)
return None
root = TreeNode(l.pop(0))
root.left = rebuild(l)
root.right = rebuild(l)
return root
def sortedArrayToBstHelper(arr, i, j):
if i >= j:
return None
mid = (i + j) // 2
node = TreeNode(arr[mid])
node.left = sortedArrayToBstHelper(arr, i, mid)
node.right = sortedArrayToBstHelper(arr, mid + 1, j)
return node
def helper(l, r):
if l == r:
return None
mid = (l + r) // 2
root = TreeNode(nums[mid])
root.left = helper(l, mid)
root.right = helper(mid + 1, r)
return root
def deleteNode(self, root: TreeNode, key: int) -> TreeNode:
if not root:
return root
if key > root.val:
root.right = self.deleteNode(root.right, key)
elif key < root.val:
root.left = self.deleteNode(root.left, key)
else:
if not root.left and not root.right:
root = None
elif root.right:
root.val = self.successor(root)
root.right = self.deleteNode(root.right, root.val)
else:
root.val = self.predecessor(root)
root.left = self.deleteNode(root.left, root.val)
return root
def helper(start, end):
if start > end:
return None
mid = (start + end) >> 1
root = TreeNode(nums[mid])
root.left = helper(start, mid - 1)
root.right = helper(mid + 1, end)
return root
def invertTree(self, root: TreeNode) -> TreeNode:
if not root:
return root
left = self.invertTree(root.right)
right = self.invertTree(root.left)
root.left = left
root.right = right
return root
def helper(l):
if l[0] == "#":
l.pop(0)
return None
root = TreeNode(l.pop(0))
root.left = helper(l)
root.right = helper(l)
return root
def buildPreOrder():
val = data_list.pop(0)
if val == "#":
return None
node = TreeNode(int(val))
node.left = buildPreOrder()
node.right = buildPreOrder()
return node
def mergeTrees(self, t1: TreeNode, t2: TreeNode) -> TreeNode:
if not t1:
return t2
if not t2:
return t1
t = TreeNode(t1.val + t2.val)
t.left = self.mergeTrees(t1.left, t2.left)
t.right = self.mergeTrees(t1.right, t2.right)
return t
def sufficientSubset(self, root: TreeNode, limit: int) -> TreeNode:
if root.left == root.right:
return None if root.val < limit else root
if root.left:
root.left = self.sufficientSubset(root.left, limit - root.val)
if root.right:
root.right = self.sufficientSubset(root.right, limit - root.val)
return root if root.left or root.right else None
def buildRecu(in_start, in_end):
if in_start == in_end:
return None
val = preorder.pop(0)
root = TreeNode(val)
idx = lookup[val]
root.left = buildRecu(in_start, idx)
root.right = buildRecu(idx + 1, in_end)
return root
def flatten(self, root: TreeNode) -> None:
if root is None:
return None
if root:
self.flatten(root.right)
self.flatten(root.left)
root.right = self.prev
root.left = None
self.prev = root
def helper(start, end):
# print(start, end)
if start > end:
return None
max_val = max(nums[start:end + 1])
max_index = lookup[max_val]
root = TreeNode(max_val)
root.left = helper(start, max_index - 1)
root.right = helper(max_index + 1, end)
return root
def helper(in_start, in_end):
if in_start == in_end:
return None
node_val = postorder.pop()
node = TreeNode(node_val)
index = inorder_lookup[node_val]
# print("Node", node_val, in_start, in_end)
node.right = helper(index + 1, in_end)
node.left = helper(in_start, index)
return node
def buildTreeRecurse(pre_start, in_start, in_end):
if in_start == in_end:
return None
node_val = preorder[pre_start]
node = TreeNode(node_val)
idx = inorder_lookup[node_val]
# print("pre_start,idx,in_start", pre_start,idx ,in_start)
node.left = buildTreeRecurse(pre_start + 1, in_start, idx)
# 得到左子树中的节点数目 idx - in_start
node.right = buildTreeRecurse(pre_start + 1 + idx - in_start, idx + 1, in_end)
return node
def helper(lower=-math.inf, upper=math.inf):
if self.idx == N:
return None
val = preorder[self.idx]
if val < lower or val > upper:
return None
self.idx += 1
root = TreeNode(val)
root.left = helper(lower, val)
root.right = helper(val, upper)
return root
def helper(in_start, in_end):
# nonlocal pre_idx
if in_start == in_end:
return None
node_val = preorder.pop(0)
node = TreeNode(node_val)
index = inorder_lookup[node_val]
# pre_idx += 1
node.left = helper(in_start, index)
node.right = helper(index + 1, in_end)
return node
def buildTreeRecursive(post_end, in_start, in_end):
if in_start == in_end:
return None
node_val = postorder[post_end - 1]
node = TreeNode(node_val)
idx = inorder_lookup[node_val]
# print("post_end,idx,in_start", post_end, idx, in_end)
node.left = buildTreeRecursive(post_end - 1 - (in_end - idx - 1),
in_start, idx)
node.right = buildTreeRecursive(post_end - 1, idx + 1, in_end)
return node
def trimBST(self, root: TreeNode, L: int, R: int) -> TreeNode:
if not root:
return root
elif root.val < L:
return self.trimBST(root.right, L, R)
elif root.val > R:
return self.trimBST(root.left, L, R)
else:
root.left = self.trimBST(root.left, L, R)
root.right = self.trimBST(root.right, L, R)
return root
def addOneRow(self, root, v, d):
"""
"""
if d in (0, 1):
node = TreeNode(v)
if d == 1:
node.left = root
else:
node.right = root
return node
if root and d >= 2:
root.left = self.addOneRow(root.left, v, d - 1 if d > 2 else 1)
root.right = self.addOneRow(root.right, v, d - 1 if d > 2 else 0)
return root
def allPossibleFBT(self, N: int) -> List[TreeNode]:
if N % 2 == 0:
return []
if N not in self.possible_map:
results = []
for i in range(N):
for left in self.allPossibleFBT(i):
for right in self.allPossibleFBT(N - 1 - i):
node = TreeNode(0)
node.left = left
node.right = right
results.append(node)
self.possible_map[N] = results
return self.possible_map[N]
def pruneTree(self, root: TreeNode) -> TreeNode:
"""TODO
注意
if not root.left and not root.right and root.val == 0:
return None
判断放在上面得出不了正确结果,思考下为什么 ：
需要后序遍历
"""
if not root:
return None
# if not root.left and not root.right and root.val == 0:
# return None
root.left = self.pruneTree(root.left)
root.right = self.pruneTree(root.right)
if not root.left and not root.right and root.val == 0:
return None
return root
def generateTreesRecursive(start, end):
if start > end:
return [None]
all_trees = []
for i in range(start, end + 1):
# all possible left subtrees if i is choosen to be a root
left_trees = generateTreesRecursive(start, i - 1)
# all possible right subtrees if i is choosen to be a root
right_trees = generateTreesRecursive(i + 1, end)
# connect left and right subtrees to the root i
for l_tree in left_trees:
for r_tree in right_trees:
current = TreeNode(i)
current.left = l_tree
current.right = r_tree
all_trees.append(current)
return all_trees
def insertIntoBST(self, root: TreeNode, val: int) -> TreeNode:
node = TreeNode(val)
if not root: return node
pre, cur = None, root
while cur:
if cur.val > val:
pre, cur = cur, cur.left
elif cur.val < val:
pre, cur = cur, cur.right
else:
break
if val <= pre.val:
node.left = pre.left
pre.left = node
else:
node.right = pre.right
pre.right = node
return root
def splitBST(self, root: TreeNode, V: int) -> List[TreeNode]:
"""
GOOD
根节点要么在第一棵子树中，要么在第二棵子树中。假设根节点在第一棵子树中，那么这棵树的左子树一定在第一棵子树中，
右子树中部分节点在第一棵子树，部分在第二棵子树中
p0,p1为分割树的结果。 p0,p1 在分割之后依然还是二叉搜索树，其中p0 在第一棵子树中，p1 为第二棵子树
"""
if not root:
return [None, None]
elif root.val <= V:
# p0,p1 对应小于等于V的part,大于的
p0, p1 = self.splitBST(root.right, V)
root.right = p0
return [root, p1]
else:
p0, p1 = self.splitBST(root.left, V)
root.left = p1
return [p0, root]