How to use JS to implement WeChat red envelope algorithm
This time I will show you how to use JS to implement the WeChat red envelope algorithm, and what are the precautions for using JS to implement the WeChat red envelope algorithm. The following is a practical case. Let’s take a look. .
Let’s assume that there is a red envelope of 100 yuan that needs to be sent to 10 people. In order to ensure fairness, the algorithm needs to ensure the following principles:
Everyone can grab at least 0.01 yuan
Equal opportunities for everyone
The sum of everyone’s amounts is equal to 100 yuan
1. Simple random functionimplementation
The general idea of many friends is:
The first step: Randomly select a number from 0-100 to get the first red envelope amount.
Step 2: Randomly select a number from 0-the remaining amount to get the second red envelope amount.
The third step:...
The last step is to give all the remaining money to the last person.
And so on, get all 10 red envelopes. But I don’t know if you have noticed that this is obviously unfair. The person who grabs it first has an advantage. The first person's random range is 0-100, and he may get a larger amount. The random range of the last person will be very small. If the first person grabs 90 yuan, then the last person has no chance of getting more than 10 yuan. Let’s simulate this process with code:
The test results are as follows:
Careful friends will notice that the balance The value of is incorrect, this is a known issue with JavaScript floating point operations. Of course, there are many ways to solve it. If you have a good solution, you are welcome to leave me a message.
I believe you have mastered the method after reading the case in this article. For more exciting information, please pay attention to other related articles on the php Chinese website!
Recommended reading:
##How to use vue to determine the class of dom
The above is the detailed content of How to use JS to implement WeChat red envelope algorithm. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1386
52
CLIP-BEVFormer: Explicitly supervise the BEVFormer structure to improve long-tail detection performance
Mar 26, 2024 pm 12:41 PM
Written above & the author’s personal understanding: At present, in the entire autonomous driving system, the perception module plays a vital role. The autonomous vehicle driving on the road can only obtain accurate perception results through the perception module. The downstream regulation and control module in the autonomous driving system makes timely and correct judgments and behavioral decisions. Currently, cars with autonomous driving functions are usually equipped with a variety of data information sensors including surround-view camera sensors, lidar sensors, and millimeter-wave radar sensors to collect information in different modalities to achieve accurate perception tasks. The BEV perception algorithm based on pure vision is favored by the industry because of its low hardware cost and easy deployment, and its output results can be easily applied to various downstream tasks.
Implementing Machine Learning Algorithms in C++: Common Challenges and Solutions
Jun 03, 2024 pm 01:25 PM
Common challenges faced by machine learning algorithms in C++ include memory management, multi-threading, performance optimization, and maintainability. Solutions include using smart pointers, modern threading libraries, SIMD instructions and third-party libraries, as well as following coding style guidelines and using automation tools. Practical cases show how to use the Eigen library to implement linear regression algorithms, effectively manage memory and use high-performance matrix operations.
Explore the underlying principles and algorithm selection of the C++sort function
Apr 02, 2024 pm 05:36 PM
The bottom layer of the C++sort function uses merge sort, its complexity is O(nlogn), and provides different sorting algorithm choices, including quick sort, heap sort and stable sort.
Can artificial intelligence predict crime? Explore CrimeGPT's capabilities
Mar 22, 2024 pm 10:10 PM
The convergence of artificial intelligence (AI) and law enforcement opens up new possibilities for crime prevention and detection. The predictive capabilities of artificial intelligence are widely used in systems such as CrimeGPT (Crime Prediction Technology) to predict criminal activities. This article explores the potential of artificial intelligence in crime prediction, its current applications, the challenges it faces, and the possible ethical implications of the technology. Artificial Intelligence and Crime Prediction: The Basics CrimeGPT uses machine learning algorithms to analyze large data sets, identifying patterns that can predict where and when crimes are likely to occur. These data sets include historical crime statistics, demographic information, economic indicators, weather patterns, and more. By identifying trends that human analysts might miss, artificial intelligence can empower law enforcement agencies
Improved detection algorithm: for target detection in high-resolution optical remote sensing images
Jun 06, 2024 pm 12:33 PM
01 Outlook Summary Currently, it is difficult to achieve an appropriate balance between detection efficiency and detection results. We have developed an enhanced YOLOv5 algorithm for target detection in high-resolution optical remote sensing images, using multi-layer feature pyramids, multi-detection head strategies and hybrid attention modules to improve the effect of the target detection network in optical remote sensing images. According to the SIMD data set, the mAP of the new algorithm is 2.2% better than YOLOv5 and 8.48% better than YOLOX, achieving a better balance between detection results and speed. 02 Background & Motivation With the rapid development of remote sensing technology, high-resolution optical remote sensing images have been used to describe many objects on the earth’s surface, including aircraft, cars, buildings, etc. Object detection in the interpretation of remote sensing images
Where is the Alipay red envelope code?
Apr 25, 2024 am 10:20 AM
1. Open the Alipay app, click on the search box at the top, and enter [make money with red envelopes]. 2. Click [Go and Share to Earn Cash] or [Earn Cash Rewards Immediately] to generate a red envelope code for making money. 3. Users can choose to save the money-making red envelope code to the photo album, or share it directly with friends such as WeChat/Alipay/QQ. 4. Users can also choose to copy the password and share it with friends on various social software.
Application of algorithms in the construction of 58 portrait platform
May 09, 2024 am 09:01 AM
1. Background of the Construction of 58 Portraits Platform First of all, I would like to share with you the background of the construction of the 58 Portrait Platform. 1. The traditional thinking of the traditional profiling platform is no longer enough. Building a user profiling platform relies on data warehouse modeling capabilities to integrate data from multiple business lines to build accurate user portraits; it also requires data mining to understand user behavior, interests and needs, and provide algorithms. side capabilities; finally, it also needs to have data platform capabilities to efficiently store, query and share user profile data and provide profile services. The main difference between a self-built business profiling platform and a middle-office profiling platform is that the self-built profiling platform serves a single business line and can be customized on demand; the mid-office platform serves multiple business lines, has complex modeling, and provides more general capabilities. 2.58 User portraits of the background of Zhongtai portrait construction
Add SOTA in real time and skyrocket! FastOcc: Faster inference and deployment-friendly Occ algorithm is here!
Mar 14, 2024 pm 11:50 PM
Written above & The author’s personal understanding is that in the autonomous driving system, the perception task is a crucial component of the entire autonomous driving system. The main goal of the perception task is to enable autonomous vehicles to understand and perceive surrounding environmental elements, such as vehicles driving on the road, pedestrians on the roadside, obstacles encountered during driving, traffic signs on the road, etc., thereby helping downstream modules Make correct and reasonable decisions and actions. A vehicle with self-driving capabilities is usually equipped with different types of information collection sensors, such as surround-view camera sensors, lidar sensors, millimeter-wave radar sensors, etc., to ensure that the self-driving vehicle can accurately perceive and understand surrounding environment elements. , enabling autonomous vehicles to make correct decisions during autonomous driving. Head
