def unserialized_tree(cls, nodes_info):
cur = nodes_info.pop(0)
if cur == '#':
return None
cur_node = Node(cur)
cur_node.left = cls.unserialized_tree(nodes_info)
cur_node.right = cls.unserialized_tree(nodes_info)
return cur_node
def reconstruct_detail(cls, arr, start, end):
if start > end:
return None
pos = (start + end) // 2
node = Node(arr[pos])
node.left = cls.reconstruct_detail(arr, start, pos - 1)
node.right = cls.reconstruct_detail(arr, pos + 1, end)
return node
def reconstruct_in_mid_order_detail(cls, mid_arr, mid_start, mid_end, pos_arr, pos_start, pos_end, d):
if pos_start > pos_end:
return
root = Node(pos_arr[pos_end])
pos = d.get(pos_arr[pos_end])
root.left = cls.reconstruct_in_mid_order_detail(mid_arr, mid_start, pos-1, pos_arr, pos_start, pos_start +
pos - mid_start - 1, d)
root.right = cls.reconstruct_in_mid_order_detail(mid_arr, pos+1, mid_end, pos_arr, pos_start + pos - mid_start,
pos_end - 1, d)
return root
def reconstruct_in_pre_order_detail(cls, pre_arr, pre_start, pre_end, in_arr, in_start, in_end, d):
if pre_start > pre_end:
return
root = Node(pre_arr[pre_start])
pos = d.get(pre_arr[pre_start])
# 注意 这里 pos - in_start表示前序遍历数组的长度，再加上pre_start就表示分割后的前序数组的范围
root.left = cls.reconstruct_in_pre_order_detail(pre_arr, pre_start + 1, pre_start+(pos-in_start), in_arr,
in_start, pos-1, d)
root.right = cls.reconstruct_in_pre_order_detail(pre_arr, pre_start+(pos-in_start)+1, pre_end, in_arr,
pos+1, in_end, d)
return root
def reconstruct_in_pre_pos_order_detail(cls, p, pi, pj, s, si, sj, d):
head = Node(s[sj])
sj -= 1
if pi == pj:
return head
pi += 1
index = d.get(p[pi])
head.left = cls.reconstruct_in_pre_pos_order_detail(p, pi, pi+index-si, s, si, index, d)
head.right = cls.reconstruct_in_pre_pos_order_detail(p, pi+index-si+1, pj, s, index+1, sj, d)
return head
def recontruct_bst_detail(cls, arr, start, end):
if start > end:
return None
less = -1
more = end
cur_node = Node(arr[end])
for i in range(start, end):
if arr[i] < arr[end]:
less = i
else:
more = i if more == end else more
cur_node.left = cls.recontruct_bst_detail(arr, start, less)
cur_node.right = cls.recontruct_bst_detail(arr, more, end - 1)
return cur_node
def get_root(cls, start, end):
res = list()
if start > end:
res.append(None)
for i in range(start, end+1):
node = Node(i)
left_nodes = cls.get_root(start, i-1)
right_nodes = cls.get_root(i+1, end)
r = product(left_nodes, right_nodes)
for left, right in r:
node.left = left
node.right = right
res.append(deepcopy(node))
#
# for left in left_nodes:
# for right in right_nodes:
# node.left = left
# node.right = right
# res.append(cls.clone_tree(node))
return res
return list(self.errors[0])
if len(self.errors) == 2:
return [self.errors[0][0], self.errors[1][1]]
def get_all_nodes(self, head):
if head is None:
return None
if head.left is not None:
self.get_all_nodes(head.left)
self.nodes.append(head)
if head.right is not None:
self.get_all_nodes(head.right)
if __name__ == '__main__':
head14 = Node(5)
head14.left = Node(3)
head14.right = Node(7)
head14.left.left = Node(2)
head14.left.right = Node(8)
head14.right.left = Node(6)
head14.right.right = Node(4)
head14.left.left.left = Node(1)
bst = BSTChecker()
bst.get_all_nodes(head14)
err_nodes = bst.get_wrong_nodes()
for err_node in err_nodes:
print(err_node.value)
elif node.value < temp.value:
temp = temp.left
else:
temp = temp.right
else:
if node.left is not None:
queue.append(node.left)
if node.right is not None:
queue.append(node.right)
count += 1
return count
if __name__ == '__main__':
head = Node(6)
head.left = Node(1)
head.left.left = Node(0)
head.left.right = Node(3)
head.right = Node(12)
head.right.left = Node(10)
head.right.left.left = Node(4)
head.right.left.left.left = Node(2)
head.right.left.left.right = Node(5)
head.right.left.right = Node(14)
head.right.left.right.left = Node(11)
head.right.left.right.right = Node(15)
head.right.right = Node(13)
head.right.right.left = Node(20)
head.right.right.right = Node(16)
print(BiggestTop.find_biggest_top(head))
queue.append((head, None))
while len(queue) > 0:
cur, parent = queue.pop(0)
hash_table[cur] = parent
if cur.left:
queue.append((cur.left, cur))
if cur.right:
queue.append((cur.right, cur))
return hash_table
if __name__ == '__main__':
head = Node(1)
head.left = Node(2)
head.right = Node(3)
head.left.left = Node(4)
head.left.right = Node(5)
head.right.left = Node(6)
head.right.right = Node(7)
head.right.right.left = Node(8)
o1 = head.left.right
o2 = head.right.left
print("o1 : " + str(o1.value))
print("o2 : " + str(o2.value))
print("ancestor : " + str(AncestorFinder.find_ancestor_by_recurise(head, o1, o2).value))
print("ancestor : " + str(AncestorFinder.find_ancestor_by_hash(head, o1, o2).value))
def generate_node(cls, value):
if value == '#':
return None
return Node(value)
def pre_order_visit(cls, head):
if head is None:
return '#!'
s = ''
s += str(head.value)
s += '!'
s += cls.pre_order_visit(head.left)
s += cls.pre_order_visit(head.right)
return s
if __name__ == '__main__':
t1 = Node(1)
t1.left = Node(2)
t1.right = Node(3)
t1.left.left = Node(4)
t1.left.right = Node(5)
t1.right.left = Node(6)
t1.right.right = Node(7)
t1.left.left.right = Node(8)
t1.left.right.left = Node(9)
t2 = Node(2)
t2.left = Node(4)
t2.left.right = Node(8)
t2.right = Node(5)
t2.right.left = Node(9)
if head is None:
return max_length
sum += head.value
if sum not in node_map:
node_map[sum] = level
if (sum - k) in node_map:
sum_k_level = node_map[sum - k]
if level - sum_k_level > max_length:
max_length = level - sum_k_level
max_length = cls.visit_by_first_order(head.left, sum, node_map, k,
level + 1, max_length)
max_length = cls.visit_by_first_order(head.right, sum, node_map, k,
level + 1, max_length)
return max_length
if __name__ == '__main__':
head = Node(-3)
head.left = Node(3)
head.right = Node(-9)
head.left.left = Node(1)
head.left.right = Node(0)
head.left.right.left = Node(1)
head.left.right.right = Node(6)
head.right.left = Node(2)
head.right.right = Node(1)
print(LongestTreePath.get_longest_tree_path(head, 6))
print(LongestTreePath.get_longest_tree_path(head, -9))
lmax = cls.find_max_distance_detail(head.left, record)
max_from_left = record[0]
rmax = cls.find_max_distance_detail(head.right, record)
max_from_right = record[0]
record[0] = max([max_from_left, max_from_right]) + 1
cur_node_length = max_from_left + max_from_right + 1
return max([lmax, rmax, cur_node_length])
if __name__ == '__main__':
head1 = Node(1)
head1.left = Node(2)
head1.right = Node(3)
head1.left.left = Node(4)
head1.left.right = Node(5)
head1.right.left = Node(6)
head1.right.right = Node(7)
head1.left.left.left = Node(8)
head1.right.left.right = Node(9)
print(MaxDistance.find_max_distance(head1))
head2 = Node(1)
head2.left = Node(2)
head2.right = Node(3)
head2.right.left = Node(4)
head2.right.right = Node(5)
return
cls.print_in_order(head, 0, 'H', 17)
@classmethod
def print_in_order(cls, head, height, char, length):
if head is None:
return
cls.print_in_order(head.right, height + 1, 'v', length)
cls.print_cur(head, height, char, length)
cls.print_in_order(head.left, height + 1, '^', length)
@classmethod
def print_cur(cls, head, height, char, length):
print_str = char + str(head.value) + char
left_str = int((length - len(print_str)) / 2)
right_str = length - len(print_str) - left_str
print(' ' * length * height + ' ' * left_str + char + str(head.value) +
char + ' ' * right_str)
if __name__ == '__main__':
import sys
head = Node(1)
head.left = Node(-222222222)
head.right = Node(3)
head.left.left = Node(sys.maxsize)
head.right.left = Node(55555555)
head.right.right = Node(66)
head.left.left.right = Node(777)
PrintTree.print_tree(head)
