Q36 两个链表的第一个公共结点

题目描述

输入两个链表,找出它们的第一个公共结点。(注意因为传入数据是链表,所以错误测试数据的提示是用其他方式显示的,保证传入数据是正确的)

公共结点之后的结点都相同

方法一:
找出2个链表的长度,然后让长的先走两个链表的长度差,然后再一起走(因为2个链表用公共的尾部)
在这里插入图片描述
方法二:

# -*- coding:utf-8 -*-
# class ListNode:
#     def __init__(self, x):
#         self.val = x
#         self.next = None
class Solution:
    def FindFirstCommonNode(self, pHead1, pHead2):
        # write code here
        p1 = pHead1
        p2 = pHead2
        while(p1!=p2):
            p1 = p1.next if p1 else pHead2 # 对应于 p1 = (p1==Null? pHead2:p1.next)
            p2 = p2.next if p2 else pHead1
        return p1

长度相同有公共结点,第一次就遍历到;没有公共结点,走到尾部NULL相遇,返回NULL
长度不同有公共结点,第一遍差值就出来了,第二遍一起到公共结点;没有公共,一起到结尾NULL。

方法三:
两个链表从结点开始尾部相同 从最后开始走 当出现不同时,最后一个相同的就是公共结点

# -*- coding:utf-8 -*-
# class ListNode:
#     def __init__(self, x):
#         self.val = x
#         self.next = None
class Solution:
    def FindFirstCommonNode(self, pHead1, pHead2):
        # write code here
        if not pHead1 or not pHead2:
            return None #注意返回的是None
        stack1 = []
        stack2 = []
        while pHead1:
            stack1.append(pHead1)#添加的是pHead1 不是pHead1.val
            pHead1 = pHead1.next
        while pHead2:
            stack2.append(pHead2)
            pHead2 = pHead2.next
        first = None #如果没有相同的 则返回None
        while stack1 and stack2:
            top1 = stack1.pop()
            top2 = stack2.pop()
            if top1 is top2: #地址相同
                first = top1
            else:
                break
        return first
prob <- list( normal = c(0.35, 0.40, 0.20, 0.05), # A,B,C,D 一般题目 reverse = c(0.05, 0.15, 0.40, 0.40), # 测谎题 somatic = c(0.50, 0.35, 0.10, 0.05), # 身体症状 social = c(0.30, 0.45, 0.20, 0.05) # 社交焦虑 ) 生成框架 tibble( # ==== 学习焦虑 ==== Q4 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q5 = sample(LETTERS[1:4], n, prob = c(0.25,0.45,0.25,0.05), replace = TRUE), Q6 = sample(LETTERS[1:4], n, prob = prob$social, replace = TRUE), Q7 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q8 = sample(LETTERS[1:4], n, prob = c(0.40,0.35,0.20,0.05), replace = TRUE), ==== 对人焦虑 ==== Q9 = sample(LETTERS[1:4], n, prob = prob$social, replace = TRUE), Q10 = sample(LETTERS[1:4], n, prob = prob$social, replace = TRUE), Q11 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q12 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q13 = sample(LETTERS[1:4], n, prob = prob$reverse, replace = TRUE), # 测谎 ==== 孤独倾向 ==== Q14 = sample(LETTERS[1:4], n, prob = c(0.45,0.35,0.15,0.05), replace = TRUE), Q15 = sample(LETTERS[1:4], n, prob = c(0.50,0.30,0.15,0.05), replace = TRUE), Q16 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q17 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), ==== 自责倾向 ==== Q18 = sample(LETTERS[1:4], n, prob = c(0.30,0.40,0.25,0.05), replace = TRUE), Q19 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q20 = sample(LETTERS[1:4], n, prob = c(0.35,0.40,0.20,0.05), replace = TRUE), Q21 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), ==== 过敏倾向 ==== Q22 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q23 = sample(LETTERS[1:4], n, prob = c(0.40,0.35,0.20,0.05), replace = TRUE), Q24 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q25 = sample(LETTERS[1:4], n, prob = prob$reverse, replace = TRUE), # 测谎 Q26 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), ==== 身体症状 ==== Q27 = sample(LETTERS[1:4], n, prob = prob$somatic, replace = TRUE), Q28 = sample(LETTERS[1:4], n, prob = prob$somatic, replace = TRUE), Q29 = sample(LETTERS[1:4], n, prob = prob$somatic, replace = TRUE), Q30 = sample(LETTERS[1:4], n, prob = prob$somatic, replace = TRUE), ==== 恐怖倾向 ==== Q31 = ifelse(base_info$年级 %in% 3:4, sample(LETTERS[1:4], n, prob = c(0.4,0.3,0.2,0.1), replace = TRUE), sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE)), Q32 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q33 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q34 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), ==== 冲动倾向 ==== Q35 = ifelse(base_info$性别 == “男”, sample(LETTERS[1:4], n, prob = c(0.6,0.3,0.08,0.02), replace = TRUE), sample(LETTERS[1:4], n, prob = c(0.4,0.4,0.15,0.05), replace = TRUE)), Q36 = sample(LETTERS[1:4], n, prob = c(0.55,0.30,0.10,0.05), replace = TRUE), Q37 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE), Q38 = sample(LETTERS[1:4], n, prob = prob$normal, replace = TRUE),克隆巴赫太小这段要怎么改才能让克隆巴赫大于0.6
最新发布
04-03
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