class ListNode(object): def __init__(self,x): self.val=x self.next=None class Solution: def ReverseList(head,m,n): if not head: return None #定义两个游标指针 pre=None cur=head while m>1: #cur移动到要交换的节点,pre为cur前一个
to_add = ListNode(val) curr = self.head # 伪头节点 # 0,... ,index-1 for _ in range(index): # 指向下一节点,等同于指向索引节点,最大的索引= 长度-1 curr = curr.next # 添加操作 to_add.next = curr.next curr.next = to_add # 记录链表长度的变化 self.size += 1 1. 2. 3. 4...
classListNode(object):def__init__(self,x):self.val=x self.next=NoneclassSolution(object):defreverList(self,head):ifhead==None:returnNone pre=ListNode(1)pre=None r=ListNode(1)whilehead!=None:r=head.next head.next=pre pre=head head=rreturnpreif__name__=='__main__':head=ListNode(1...
def getIntersectionNode(self, headA, headB): """ :type head1, head1: ListNode :rtype: ListNode """ p1 = headA p2 = headB m = 0 n = 0 while p1: p1 = p1.next m += 1 while p2: p2 = p2.next n += 1 if m > n: for i in range(m - n): headA = headA.next el...
:self.append(value)else:new_node=Node(value)current=self._headfor_inrange(index-1):current=current.nextnew_node.next=current.nextcurrent.next=new_node# 删除节点defremove(self,value):current=self._headpre=NonewhilecurrentisnotNone:ifcurrent.value==value:ifnotpre:self._head=current.nextelse:...
#1、链表反转classListNode:def__init__(self, x): self.val=x self.next=Nonedefnonrecurse(head):#循环的方法反转链表ifheadisNoneorhead.nextisNone:returnhead pre=None cur=head h=headwhilecur: h=cur tmp=cur.next cur.next=pre pre=cur ...
self.items.append(item)defdequeue(self):ifself.is_empty():returnNonereturnself.items.pop(0)defis_empty(self):returnlen(self.items) ==0defpeek(self):ifself.is_empty():returnNonereturnself.items[0]# 链表# 单链表节点类classListNode:def__init__(self, value=0,next=None): ...
1.2.1 Python 内置数据结构算法 常用内置数据结构和算法: 线性结构: 语言内置:list(列表)、tuple(元组) 内置库:array(数组,不常用)、collections.namedtuple 链式结构: 语言内置:无 内置库:collections.deque(双端队列) 字典结构: 语言内置:dict(字典)
1->2->3->4转换成2->1->4->3.class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: # @param a ListNode # @return a ListNode def swapPairs(self, head): if head != None and head.next != None: next = head.next head.next = self.swapPairs...
执行一次不成功的查找,遍历的链接数平均为λ,成功的查找则花费1+(λ/2)。 分离链接散列的一般做法是使得λ尽量接近于1。 代码: class _ListNode(object): def __init__(self,key): self.key=key self.next=None class HashMap(object): def __init__(self,tableSize): self._table=[None]*tableSize...