hello-algo/codes/python/chapter_computational_complexity/space_complexity.py
2022-12-13 23:24:12 +08:00

78 lines
1.7 KiB
Python

'''
File: space_complexity.py
Created Time: 2022-11-25
Author: Krahets (krahets@163.com)
'''
import sys, os.path as osp
sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
from include import *
""" 函数 """
def function():
# do something
return 0
""" 常数阶 """
def constant(n):
# 常量、变量、对象占用 O(1) 空间
a = 0
nums = [0] * 10000
node = ListNode(0)
# 循环中的变量占用 O(1) 空间
for _ in range(n):
c = 0
# 循环中的函数占用 O(1) 空间
for _ in range(n):
function()
""" 线性阶 """
def linear(n):
# 长度为 n 的列表占用 O(n) 空间
nums = [0] * n
# 长度为 n 的哈希表占用 O(n) 空间
mapp = {}
for i in range(n):
mapp[i] = str(i)
""" 线性阶(递归实现) """
def linearRecur(n):
print("递归 n =", n)
if n == 1: return
linearRecur(n - 1)
""" 平方阶 """
def quadratic(n):
# 二维列表占用 O(n^2) 空间
num_matrix = [[0] * n for _ in range(n)]
""" 平方阶(递归实现) """
def quadratic_recur(n):
if n <= 0: return 0
nums = [0] * n
print("递归 n =", n, "中的 nums 长度 =", len(nums))
return quadratic_recur(n - 1)
""" 指数阶(建立满二叉树) """
def build_tree(n):
if n == 0: return None
root = TreeNode(0)
root.left = build_tree(n - 1)
root.right = build_tree(n - 1)
return root
""" Driver Code """
if __name__ == "__main__":
n = 5
# 常数阶
constant(n)
# 线性阶
linear(n)
linearRecur(n)
# 平方阶
quadratic(n)
quadratic_recur(n)
# 指数阶
root = build_tree(n)
print_tree(root)