数据结构
树
class NodeTree:
def __init__(self, root=None, lchild=None, rchild=None):
"""创建二叉树
Argument:
lchild: BinTree
左子树
rchild: BinTree
右子树
Return:
Tree
"""
self.root = root
self.lchild = lchild
self.rchild = rchild
class BinTree:
# -----------前序遍历 ------------
# 递归算法
def pre_order_recursive(self, T):
if T == None:
return
print(T.root, end=' ')
self.pre_order_recursive(T.lchild)
self.pre_order_recursive(T.rchild)
# -----------中序遍历 ------------
# 递归算法
def mid_order_recursive(self, T):
if T == None:
return
self.mid_order_recursive(T.lchild)
print(T.root, end=' ')
self.mid_order_recursive(T.rchild)
# -----------后序遍历 ------------
# 递归算法
def post_order_recursive(self, T):
if T == None:
return
self.post_order_recursive(T.lchild)
self.post_order_recursive(T.rchild)
print(T.root, end=' ')
# ----------- 前序遍历序列、中序遍历序列 —> 重构二叉树 ------------
def tree_by_pre_mid(self, pre, mid):
if len(pre) != len(mid) or len(pre) == 0 or len(mid) == 0:
return
T = NodeTree(pre[0])
index = mid.index(pre[0])
T.lchild = self.tree_by_pre_mid(pre[1:index + 1], mid[:index])
T.rchild = self.tree_by_pre_mid(pre[index + 1:], mid[index + 1:])
return T
# ----------- 后序遍历序列、中序遍历序列 —> 重构二叉树 ------------
def tree_by_post_mid(self, post, mid):
if len(post) != len(mid) or len(post) == 0 or len(mid) == 0:
return
T = NodeTree(post[-1])
index = mid.index(post[-1])
T.lchild = self.tree_by_post_mid(post[:index], mid[:index])
T.rchild = self.tree_by_post_mid(post[index:-1], mid[index + 1:])
return T
if __name__ == '__main__':
# ----------- 测试:前序、中序、后序、层次遍历 -----------
# 创建二叉树
nodeTree = NodeTree(1,
lchild=NodeTree(2,
lchild=NodeTree(4,
rchild=NodeTree(7))),
rchild=NodeTree(3,
lchild=NodeTree(5),
rchild=NodeTree(6)))
T = BinTree()
T.pre_order_recursive(nodeTree) # 前序遍历-递归
print('\n')
T.mid_order_recursive(nodeTree) # 中序遍历-递归
print('\n')
T.post_order_recursive(nodeTree) # 后序遍历-递归
print('\n')
print('==========================================================================')
# ----------- 测试:由遍历序列构造二叉树 -----------
T = BinTree()
pre = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I']
mid = ['B', 'C', 'A', 'E', 'D', 'G', 'H', 'F', 'I']
post = ['C', 'B', 'E', 'H', 'G', 'I', 'F', 'D', 'A']
newT_pre_mid = T.tree_by_pre_mid(pre, mid) # 由前序序列、中序序列构造二叉树
T.post_order_recursive(newT_pre_mid) # 获取后序序列
print('\n')
newT_post_mid = T.tree_by_post_mid(post, mid) # 由后序序列、中序序列构造二叉树
T.pre_order_recursive(newT_post_mid) # 获取前序序列
图的邻接表
n = 7
# 图的边数据
data = [
[1, 0],
[1, 2],
[1, 3],
[1, 6],
[2, 0],
[0, 6],
[3, 6],
[3, 4],
[0, 5],
[5, 6],
[5, 3],
[5, 4]
]
# 构建邻接表
n_node = 7
graph = [[] for _ in range(n_node)]
for edge in data:
graph[edge[0]].append(edge[1])
graph[edge[1]].append(edge[0])
print(graph)
Written on June 9, 2022