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2. Update the LEGO example. 3. Update headers of the Python files.
78 lines
1.7 KiB
Python
78 lines
1.7 KiB
Python
"""
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File: space_complexity.py
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Created Time: 2022-11-25
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Author: Krahets (krahets@163.com)
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"""
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import sys, os.path as osp
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from include import *
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""" 函数 """
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def function():
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# do something
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return 0
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""" 常数阶 """
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def constant(n):
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# 常量、变量、对象占用 O(1) 空间
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a = 0
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nums = [0] * 10000
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node = ListNode(0)
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# 循环中的变量占用 O(1) 空间
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for _ in range(n):
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c = 0
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# 循环中的函数占用 O(1) 空间
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for _ in range(n):
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function()
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""" 线性阶 """
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def linear(n):
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# 长度为 n 的列表占用 O(n) 空间
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nums = [0] * n
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# 长度为 n 的哈希表占用 O(n) 空间
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mapp = {}
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for i in range(n):
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mapp[i] = str(i)
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""" 线性阶(递归实现) """
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def linearRecur(n):
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print("递归 n =", n)
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if n == 1: return
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linearRecur(n - 1)
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""" 平方阶 """
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def quadratic(n):
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# 二维列表占用 O(n^2) 空间
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num_matrix = [[0] * n for _ in range(n)]
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""" 平方阶(递归实现) """
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def quadratic_recur(n):
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if n <= 0: return 0
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nums = [0] * n
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print("递归 n =", n, "中的 nums 长度 =", len(nums))
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return quadratic_recur(n - 1)
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""" 指数阶(建立满二叉树) """
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def build_tree(n):
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if n == 0: return None
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root = TreeNode(0)
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root.left = build_tree(n - 1)
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root.right = build_tree(n - 1)
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return root
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""" Driver Code """
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if __name__ == "__main__":
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n = 5
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# 常数阶
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constant(n)
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# 线性阶
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linear(n)
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linearRecur(n)
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# 平方阶
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quadratic(n)
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quadratic_recur(n)
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# 指数阶
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root = build_tree(n)
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print_tree(root)
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