当前位置:网站首页>力扣每日一题刷题总结:字符串篇(持续更新)
力扣每日一题刷题总结:字符串篇(持续更新)
2022-07-02 06:28:00 【Villanelle#】
953. 验证外星语词典Easy 字典2022/5/17
某种外星语也使用英文小写字母,但可能顺序 order 不同。字母表的顺序(order)是一些小写字母的排列。
给定一组用外星语书写的单词 words,以及其字母表的顺序 order,只有当给定的单词在这种外星语中按字典序排列时,返回 true;否则,返回 false。
示例:
输入:words = [“hello”,“leetcode”], order = “hlabcdefgijkmnopqrstuvwxyz”
输出:true
解释:在该语言的字母表中,‘h’ 位于 ‘l’ 之前,所以单词序列是按字典序排列的。
方法一:先制定两个string比较的判断函数,使用string中的find方法,然后两两比较,如果如果有相邻的字符不满足即为false。
class Solution {
public
边栏推荐
- 【Random Erasing】《Random Erasing Data Augmentation》
- Semi supervised mixpatch
- What if the laptop task manager is gray and unavailable
- Open3d learning note 4 [surface reconstruction]
- How to clean up logs on notebook computers to improve the response speed of web pages
- What if the laptop can't search the wireless network signal
- I'll show you why you don't need to log in every time you use Taobao, jd.com, etc?
- open3d学习笔记二【文件读写】
- [CVPR‘22 Oral2] TAN: Temporal Alignment Networks for Long-term Video
- 用MLP代替掉Self-Attention
猜你喜欢
How to turn on night mode on laptop
MoCO ——Momentum Contrast for Unsupervised Visual Representation Learning
Execution of procedures
联邦学习下的数据逆向攻击 -- GradInversion
浅谈深度学习模型中的后门
用MLP代替掉Self-Attention
【FastDepth】《FastDepth:Fast Monocular Depth Estimation on Embedded Systems》
On the confrontation samples and their generation methods in deep learning
Open3D学习笔记一【初窥门径,文件读取】
open3d学习笔记五【RGBD融合】
随机推荐
解决jetson nano安装onnx错误(ERROR: Failed building wheel for onnx)总结
业务架构图
Yolov3 trains its own data set (mmdetection)
【Random Erasing】《Random Erasing Data Augmentation》
The internal network of the server can be accessed, but the external network cannot be accessed
【DIoU】《Distance-IoU Loss:Faster and Better Learning for Bounding Box Regression》
In the era of short video, how to ensure that works are more popular?
What if a new window always pops up when opening a folder on a laptop
Programmers can only be 35? The 74 year old programmer in the United States has been programming for 57 years and has not retired
【AutoAugment】《AutoAugment:Learning Augmentation Policies from Data》
【MagNet】《Progressive Semantic Segmentation》
【Mixed Pooling】《Mixed Pooling for Convolutional Neural Networks》
【Wing Loss】《Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks》
On the confrontation samples and their generation methods in deep learning
Handwritten call, apply, bind
業務架構圖
Rhel7 operation level introduction and switching operation
Using transformer for object detection and semantic segmentation
【DIoU】《Distance-IoU Loss:Faster and Better Learning for Bounding Box Regression》
[learning notes] matlab self compiled Gaussian smoother +sobel operator derivation