Python Serializing/Deserializing 一棵二叉树
Python Serializing/Deserializing a binary tree
我正在尝试在 python 中为二叉树实现 serializing/deserializing 算法。
这是我的代码:
class Node:
count = 1
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def insert(self, value):
if self.value > value:
if self.left is None:
self.left = Node(value)
Node.count += 1
else:
self.left.insert(value)
else:
if self.right is None:
self.right = Node(value)
Node.count += 1
else:
self.right.insert(value)
# Using preorder
def serialize(root, serial):
if root != None:
serial.append(root.value)
serialize(root.left, serial)
serialize(root.right, serial)
else:
serial.append('x')
def deserialize(newRoot, serial):
if serial[0] == 'x':
serial.pop(0)
else:
if len(serial) > 0:
newRoot = Node(serial.pop(0))
print(newRoot.value)
deserialize(newRoot.left, serial)
deserialize(newRoot.right, serial)
print("This program serializes a tree\n")
root = Node(3)
root.insert(1)
root.insert(2)
root.insert(4)
root.insert(5)
root.insert(0)
# Serialize
serial = []
serialize(root, serial)
print(serial)
# Deserialize
newRoot = Node(None)
deserialize(newRoot, serial)
print(newRoot.value)
问题是,newRoot 没有通过反序列化更新,因为 python 按值传递它。我该如何解决这个问题,最好是以最优雅的方式?在 C/C++ 中,我只传递一个指向 newRoot 的指针,它应该相应地更新。谢谢!
您可以return新创建的节点并将它们分配为左右节点。此外,pop
ing 列表的第一个元素比 pop
ing 最后一个元素的成本更高,因此 reverse
ing 列表的开头然后在递归中使用它会更高效在你的情况下。所以代码会变成这样:
def deserialize(serial):
serial.reverse()
return _deserialize(serial)
def _deserialize(serial):
if not serial:
return None
node = None
value = serial.pop()
if value != 'x':
node = Node(value)
node.left = _deserialize(serial)
node.right = _deserialize(serial)
return node
root = deserialize(serial)
print(root.value)
您可以在反序列化函数和 return 根中创建左右子树。
这是我的代码:
node_list = []
MARKER = -1
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
def serialize(root):
if root is None:
node_list.append(MARKER)
return
node_list.append(root.val)
serialize(root.left)
serialize(root.right)
def deserialize(root, node_list):
if node_list:
val = node_list.pop(0)
else:
return
if val == MARKER:
return
# Create root, left and right recursively
root = Node(val)
root.left = deserialize(root.left, node_list)
root.right = deserialize(root.right, node_list)
return root
def inorder_traversal(root):
if root:
inorder_traversal(root.left)
print(root.val, end=' ')
inorder_traversal(root.right)
if __name__=="__main__":
# Create tree
root = Node(20)
root.left = Node(8)
root.right = Node(22)
root.left.left = Node(4)
root.left.right = Node(12)
root.left.right.left = Node(10)
root.left.right.right = Node(14)
print("Inorder traversal before serialization..")
inorder_traversal(root)
print('')
# serialize the tree and insert elements into a list
serialize(root)
print(node_list)
root1 = None
root1 = deserialize(root1, node_list)
print("Inorder traversal after deserialization..")
inorder_traversal(root1)
print('')
我正在尝试在 python 中为二叉树实现 serializing/deserializing 算法。
这是我的代码:
class Node:
count = 1
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def insert(self, value):
if self.value > value:
if self.left is None:
self.left = Node(value)
Node.count += 1
else:
self.left.insert(value)
else:
if self.right is None:
self.right = Node(value)
Node.count += 1
else:
self.right.insert(value)
# Using preorder
def serialize(root, serial):
if root != None:
serial.append(root.value)
serialize(root.left, serial)
serialize(root.right, serial)
else:
serial.append('x')
def deserialize(newRoot, serial):
if serial[0] == 'x':
serial.pop(0)
else:
if len(serial) > 0:
newRoot = Node(serial.pop(0))
print(newRoot.value)
deserialize(newRoot.left, serial)
deserialize(newRoot.right, serial)
print("This program serializes a tree\n")
root = Node(3)
root.insert(1)
root.insert(2)
root.insert(4)
root.insert(5)
root.insert(0)
# Serialize
serial = []
serialize(root, serial)
print(serial)
# Deserialize
newRoot = Node(None)
deserialize(newRoot, serial)
print(newRoot.value)
问题是,newRoot 没有通过反序列化更新,因为 python 按值传递它。我该如何解决这个问题,最好是以最优雅的方式?在 C/C++ 中,我只传递一个指向 newRoot 的指针,它应该相应地更新。谢谢!
您可以return新创建的节点并将它们分配为左右节点。此外,pop
ing 列表的第一个元素比 pop
ing 最后一个元素的成本更高,因此 reverse
ing 列表的开头然后在递归中使用它会更高效在你的情况下。所以代码会变成这样:
def deserialize(serial):
serial.reverse()
return _deserialize(serial)
def _deserialize(serial):
if not serial:
return None
node = None
value = serial.pop()
if value != 'x':
node = Node(value)
node.left = _deserialize(serial)
node.right = _deserialize(serial)
return node
root = deserialize(serial)
print(root.value)
您可以在反序列化函数和 return 根中创建左右子树。 这是我的代码:
node_list = []
MARKER = -1
class Node:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
def serialize(root):
if root is None:
node_list.append(MARKER)
return
node_list.append(root.val)
serialize(root.left)
serialize(root.right)
def deserialize(root, node_list):
if node_list:
val = node_list.pop(0)
else:
return
if val == MARKER:
return
# Create root, left and right recursively
root = Node(val)
root.left = deserialize(root.left, node_list)
root.right = deserialize(root.right, node_list)
return root
def inorder_traversal(root):
if root:
inorder_traversal(root.left)
print(root.val, end=' ')
inorder_traversal(root.right)
if __name__=="__main__":
# Create tree
root = Node(20)
root.left = Node(8)
root.right = Node(22)
root.left.left = Node(4)
root.left.right = Node(12)
root.left.right.left = Node(10)
root.left.right.right = Node(14)
print("Inorder traversal before serialization..")
inorder_traversal(root)
print('')
# serialize the tree and insert elements into a list
serialize(root)
print(node_list)
root1 = None
root1 = deserialize(root1, node_list)
print("Inorder traversal after deserialization..")
inorder_traversal(root1)
print('')