• python 链表


    在C/C++中,通常采用“指针+结构体”来实现链表;而在Python中,则可以采用“引用+类”来实现链表。

    节点类:

    class Node:
        def __init__(self, data):
            self.data = data
            self.next = None

    链表类:

    class Linkedlist:
        def __init__(self):
            self.head = None
            self.tail = None
    link_list = LinkedList()
    def is_empty(self):
        return self.head is None
    def append(self, data):
        node = Node(data)
        if self.head is None:
            self.head = node
            self.tail = node
        else:
            self.tail.next = node
            self.tail =node
    def iter(self):
        if not iter.head:
            return
        cur = self.head
       yield cur.data
    while cur.next: 
        cur = cur.next 
        yield cur.data
    #先判断是不是空链表,yield head.data 再用while循环遍历

    链表的头结点head 和 尾节点tail 都属于node.

    insert:先将要插入的节点的next指向之后链表的head,然后将之前链表的next指向 将要插入的节点。

    def insert(self, idx, value):
        cur = self.head
        cur_idx = 0
        if cur is None:
            raise Exception('That list is and empty list!')
        while cur_idx < idx-1:
            cur = cur.next
            if cur is None:
                raise Exception('List length less than index!')
            cur_idx += 1
        node = Node(value)
        node.next = cur.next
        cur.next = node
        if node.next is None:
            self.tail = node
    def remove(self, idx):
        cur = self.head
        cur_idx = 0
        #空指针
        if self.head = None:
            raise Exception('This is an empty list')
        while cur_idx < idx-1:
            cur = cur.next
            #给出的索引大于链表的长度
            if cur is None:
                raise Exception('list length less than index')
            cur_idx +=1
        if idx == 0:    #当删除第一个节点时
            self.head = cur.next
            cur = cur.next
            return
        if self.head is self.tail: #当只有一个节点时
            self.head = None
            self.tail = None
            return
        cur.next = cur.next.next
        if cur.next is None:    #当删除最后一个节点时
            self.tail = cur
            
    def size(self):
        i = 0
        cur = self.head
        if current is None:
            return 'The list is an empty list'
        while cur.next is not None:
            i +=1
            cur = cur.next
        return i
    def search(self, item):
        current = self.head
        found = False
        while current is not None and not found:
            if current.data == item:
                found = True
            else:
                current = current.next 
        return found

    单链表逆置

    1,迭代

    # -*- coding: utf-8 -*-
    #!/bin/env python
    # Python2.7
    
    class Node(object):
        def __init__(self):
            self.value = None
            self.next = None
        def __str__(self):
            return str(self.value)
    
    def reverse_list(head):
        if not head or not head.next:
            return head
        pre = None
        while head:
            next = head.next    # 缓存当前节点的向后指针,待下次迭代用
            head.next = pre     # 关键:把当前节点向前指针(pre)作为当前节点的向后指针
            pre = head          # 把当前指针赋值给 下次迭代 节点的 向前指针
            head = next         # 作为下次迭代时的(当前)节点
        return pre    # 返回头指针,头指针就是迭代最后一次的head(赋值给类pre)
    
    if __name__ == '__main__':
    
        three = Node()
        three.value = 3
    
        two = Node()
        two.value = 2
        two.next = three
    
        one = Node()
        one.value = 1
        one.next = two
    
        head = Node()
        head.value = 0
        head.next = one
    
        newhead = reverse_list(head)
        while newhead:
            print newhead.value
            newhead = newhead.next

    比较形象的图

    2,递归

    # 临界点:head.next为None
    # 先递归到 把最后一个节点指向 newhead
    # 然后一步步从后往前逆置
    
    def reverse_recursion(head):
        if not head or not head.next:
            return head
    
        new_head = reverse_recursion(head.next)
    
        head.next.next = head
        head.next = None
        return new_head
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  • 原文地址:https://www.cnblogs.com/IDRI/p/7067180.html
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