hello-algo/codes/python/chapter_tree/array_binary_tree.py

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"""
File: array_binary_tree.py
Created Time: 2023-07-19
Author: krahets (krahets@163.com)
"""
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent))
from modules import TreeNode, list_to_tree, print_tree
class ArrayBinaryTree:
"""数组表示下的二叉树类"""
def __init__(self, arr: list[int | None]):
"""构造方法"""
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self._tree = list(arr)
def size(self):
"""列表容量"""
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return len(self._tree)
def val(self, i: int) -> int:
"""获取索引为 i 节点的值"""
# 若索引越界,则返回 None ,代表空位
if i < 0 or i >= self.size():
return None
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return self._tree[i]
def left(self, i: int) -> int | None:
"""获取索引为 i 节点的左子节点的索引"""
return 2 * i + 1
def right(self, i: int) -> int | None:
"""获取索引为 i 节点的右子节点的索引"""
return 2 * i + 2
def parent(self, i: int) -> int | None:
"""获取索引为 i 节点的父节点的索引"""
return (i - 1) // 2
def level_order(self) -> list[int]:
"""层序遍历"""
self.res = []
# 直接遍历数组
for i in range(self.size()):
if self.val(i) is not None:
self.res.append(self.val(i))
return self.res
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def dfs(self, i: int, order: str):
"""深度优先遍历"""
if self.val(i) is None:
return
# 前序遍历
if order == "pre":
self.res.append(self.val(i))
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self.dfs(self.left(i), order)
# 中序遍历
if order == "in":
self.res.append(self.val(i))
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self.dfs(self.right(i), order)
# 后序遍历
if order == "post":
self.res.append(self.val(i))
def pre_order(self) -> list[int]:
"""前序遍历"""
self.res = []
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self.dfs(0, order="pre")
return self.res
def in_order(self) -> list[int]:
"""中序遍历"""
self.res = []
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self.dfs(0, order="in")
return self.res
def post_order(self) -> list[int]:
"""后序遍历"""
self.res = []
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self.dfs(0, order="post")
return self.res
"""Driver Code"""
if __name__ == "__main__":
# 初始化二叉树
# 这里借助了一个从数组直接生成二叉树的函数
arr = [1, 2, 3, 4, None, 6, 7, 8, 9, None, None, 12, None, None, 15]
root = list_to_tree(arr)
print("\n初始化二叉树\n")
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print("二叉树的数组表示:")
print(arr)
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print("二叉树的链表表示:")
print_tree(root)
# 数组表示下的二叉树类
abt = ArrayBinaryTree(arr)
# 访问节点
i = 1
l, r, p = abt.left(i), abt.right(i), abt.parent(i)
print(f"\n当前节点的索引为 {i} ,值为 {abt.val(i)}")
print(f"其左子节点的索引为 {l} ,值为 {abt.val(l)}")
print(f"其右子节点的索引为 {r} ,值为 {abt.val(r)}")
print(f"其父节点的索引为 {p} ,值为 {abt.val(p)}")
# 遍历树
res = abt.level_order()
print("\n层序遍历为:", res)
res = abt.pre_order()
print("前序遍历为:", res)
res = abt.in_order()
print("中序遍历为:", res)
res = abt.post_order()
print("后序遍历为:", res)