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1c8b7ef559
* Replace 结点 with 节点 Update the footnotes in the figures * Update mindmap * Reduce the size of the mindmap.png
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
"""
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File: hashing_search.py
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Created Time: 2022-11-26
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Author: timi (xisunyy@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 modules import *
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def hashing_search_array(mapp: dict[int, int], target: int) -> int:
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""" 哈希查找（数组） """
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# 哈希表的 key: 目标元素，value: 索引
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# 若哈希表中无此 key ，返回 -1
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return mapp.get(target, -1)
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def hashing_search_linkedlist(mapp: dict[int, ListNode], target: int) -> ListNode | None:
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""" 哈希查找（链表） """
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# 哈希表的 key: 目标元素，value: 节点对象
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# 若哈希表中无此 key ，返回 None
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return mapp.get(target, None)
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""" Driver Code """
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if __name__ == '__main__':
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target: int = 3
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# 哈希查找（数组）
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nums: list[int] = [1, 5, 3, 2, 4, 7, 5, 9, 10, 8]
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# 初始化哈希表
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map0 = dict[int, int]()
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for i in range(len(nums)):
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map0[nums[i]] = i # key: 元素，value: 索引
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index: int = hashing_search_array(map0, target)
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print("目标元素 3 的索引 =", index)
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# 哈希查找（链表）
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head: ListNode = list_to_linked_list(nums)
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# 初始化哈希表
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map1 = dict[int, ListNode]()
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while head:
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map1[head.val] = head # key: 节点值，value: 节点
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head = head.next
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node: ListNode = hashing_search_linkedlist(map1, target)
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print("目标节点值 3 的对应节点对象为", node)
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