# self.right = None
class Solution:
def longestUnivaluePath(self, root):
"""
:type root: TreeNode
:rtype: int
"""
def get_count(cur):
if not cur:
return 0
left, right = get_count(cur.left), get_count(cur.right)
left = (left + 1) if cur.left and cur.left.val == cur.val else 0
right = (right +
1) if cur.right and cur.right.val == cur.val else 0
self.long = max(self.long, left + right)
return max(left, right)
self.long = 0
get_count(root)
return self.long
from graph import leetcode_tree
t = leetcode_tree([2, 2, 3, 2, 2, 4, 5, 2, 3, 2])
# t = leetcode_tree([1,1])
# t = leetcode_tree([5,4,5,1,1,5])
s = Solution()
print(s.longestUnivaluePath(t))
"""
:type root: TreeNode
:rtype: TreeNode
"""
def max_depth(cur):
if not cur:
return 0, 0
left_node, left_depth = max_depth(cur.left)
right_node, right_depth = max_depth(cur.right)
if left_depth == right_depth:
return cur, 1+left_depth
elif left_depth > right_depth:
return left_node, 1+left_depth
return right_node, 1+right_depth
if not root:
return root
node, depth = max_depth(root)
return node
from graph import leetcode_tree
g = [3,5,1,6,2,0,8,None,None,7,4]
g = [1,2,3,4,5]
t = leetcode_tree(g)
s = Solution()
ans = s.subtreeWithAllDeepest(t)
print(ans.val) if ans else print("none tyupe")
class Solution:
def isCousins(self, root: 'TreeNode', x: 'int', y: 'int') -> 'bool':
self.xp = None
self.xl = None
self.yp, self.yl = None, None
def build(cur, k, parent):
if cur:
if cur.val == x:
self.xp, self.xl = parent, k
if cur.val == y:
self.yp, self.yl = parent, k
build(cur.left, k + 1, cur)
build(cur.right, k + 1, cur)
build(root, 0, None)
return ((self.xl == self.yl) and (self.xp != self.yp))
from graph import leetcode_tree
t = leetcode_tree([1, 2, 3, 4, 5, 6, 7])
print(Solution().isCousins(t, 5, 3))
build(cur.right))
return build(root)
def deserialize(self, data):
"""Decodes your encoded data to tree.
:type data: str
:rtype: TreeNode
"""
def build(cur, i, l):
if i >= l or cur[i] == '#':
return None, i + 1
node = TreeNode(cur[i])
node.left, li = build(cur, i + 1, l)
node.right, ri = build(cur, li, l)
return node, ri
d = data.split(",")
l = len(d)
return build(d, 0, l)[0]
# Your Codec object will be instantiated and called as such:
from graph import leetcode_tree, TreeNode, inorder
t = leetcode_tree([1, 2, 3, 4])
t = leetcode_tree([])
codec = Codec()
# print(codec.serialize(t))
nr = codec.deserialize(codec.serialize(t))
print(inorder(nr))
seen = defaultdict(list)
cur = [(root, 0, 0)]
while cur:
nxt = []
for (node, x, y) in cur:
seen[x].append((-y, node.val))
if node.left:
nxt.append((node.left, x - 1, y - 1))
if node.right:
nxt.append((node.right, x + 1, y - 1))
cur = nxt
# print(seen)
for val in seen.values():
val.sort()
result = []
for key, val in seen.items():
valup = [v for _, v in val]
result.append((key, valup))
result.sort()
return [val[1] for val in result]
from graph import leetcode_tree
t = leetcode_tree(
[1, 2, 3, 4, 5, 6, 7, None, None, 8, 9, None, None, 10, None])
t = leetcode_tree(
[0, 2, 1, 3, None, None, None, 4, 5, None, 7, 6, None, 10, 8, 11, 9])
t = leetcode_tree([1, 2, 3, 4, 5, 6, 7])
t = leetcode_tree([3, 9, 20, None, None, 15, 7])
print(Solution().verticalTraversal(t))
"""
:type root: TreeNode
:rtype: int
"""
self.levels = {}
def build(cur, n, l):
if not cur:
return
if l not in self.levels:
self.levels[l] = [float('inf'), -float('inf')]
self.levels[l] = [
min(self.levels[l][0], n),
max(self.levels[l][1], n)
]
build(cur.left, 2 * n + 1, l + 1)
build(cur.right, 2 * n + 2, l + 1)
build(root, 0, 0)
ans = 0
for (l, r) in self.levels.values():
ans = max(ans, 1 + r - l)
return ans
from graph import leetcode_tree
t = leetcode_tree([1, 2, 3, 4, None, None, 7, 8, None, None, 9])
t = leetcode_tree([1])
print(Solution().widthOfBinaryTree(t))
cur_node = target.val
while cur_node != root_node:
cur_parent = parents[cur_node]
distances[cur_parent] = distances[cur_node] + 1
cur_node = cur_parent
def get_distances(cur):
if cur:
if cur.left and distances[cur.left.val] == -1:
distances[cur.left.val] = distances[cur.val] + 1
if cur.right and distances[cur.right.val] == -1:
distances[cur.right.val] = distances[cur.val] + 1
get_distances(cur.left)
get_distances(cur.right)
get_distances(root)
# print(distances)
ans = []
for val, dist in distances.items():
if dist == K:
ans.append(val)
return ans
from graph import leetcode_tree, TreeNode
t1 = [3, 5, 1, 6, 2, 0, 8, None, None, 7, 4]
t2 = []
t = leetcode_tree(t2)
s = Solution()
print(s.distanceK(t, TreeNode(5), 10))
return root
if not cur.right:
cur.val = cur.left.val
cur.right = cur.left.right
cur.left = cur.left.left
return root
curright = cur.right
curparent = cur
while curright.left:
curparent = curright
curright = curright.left
if curparent == cur:
cur.right = None
cur.val = curright.val
if not curright.right:
# print("removing", curright, curparent)
remove_leav(curright, curparent)
else:
curright.val = curright.right.val
curright.left = curright.right.left
curright.right = curright.right.right
return root
from graph import leetcode_tree, inorder
t = leetcode_tree([10, 5, 15, 3, 6, 12, 20])
t = leetcode_tree([2, None, 3])
Solution().deleteNode(t, 2)
print(inorder(t))
from graph import leetcode_tree
class Solution:
def inorderTraversal(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
cur = root
stk = []
ans = []
while cur or stk:
# print(cur, stk)
while cur:
stk.append(cur)
cur = cur.left
while stk:
top = stk.pop()
ans.append(top)
if top.right:
cur = top.right
break
return ans
s = Solution()
t = leetcode_tree([])
# print(t.val)
print(s.inorderTraversal(t))
# self.left = None
# self.right = None
class Solution:
def postorderTraversal(self, head):
"""
:type root: TreeNode
:rtype: List[int]
"""
cur = head
stk = []
ans = []
while stk or cur:
# print(stk, cur)
while cur:
stk.append(cur)
cur = cur.left
ans.append(stk.pop())
while stk:
print(stk)
top = stk[-1]
if top.right:
cur = top.right
else:
ans.append(stk.pop())
return ans
s = Solution()
t = leetcode_tree([1,2,3,4,5])
print(s.postorderTraversal(t))
from collections import defaultdict
class Solution(object):
def pathSum(self, root, sum):
"""
:type root: TreeNode
:type sum: int
:rtype: int
"""
def build(cur, seen):
if not cur:
return
# print(cur.val, seen)
if cur.val in seen:
self.count += seen[cur.val]
if cur.val == sum:
self.count += 1
cursum = sum - cur.val
newseen = defaultdict(int)
for key, val in seen.items():
newseen[key - cur.val] = val
newseen[cursum] += 1
build(cur.left, newseen)
build(cur.right, newseen)
self.count = 0
build(root, {})
return self.count
from graph import leetcode_tree
null = None
t = leetcode_tree([10,5,-3,3,2,null,11,3,-2,null,1])
print(Solution().pathSum(t, 17))
from collections import defaultdict
class Solution:
def findDuplicateSubtrees(self, root):
"""
:type root: TreeNode
:rtype: List[TreeNode]
"""
def build(cur, seen):
if not cur:
return '#'
key = str(cur.val) + build(cur.left, seen) + build(cur.right, seen)
seen[key].append(cur)
return key
seen = defaultdict(list)
build(root, seen)
return [val[0] for val in seen.values() if len(val) > 1]
from graph import leetcode_tree
t = leetcode_tree([0,0,0,0,None,None,0,None,None,None,0])
Solution().findDuplicateSubtrees(t)
