Skip to content

pkdotson/algorithms

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

algorithms

Discovering Issues

step1: Find a problem that you would like to work on under the Issues Section. Each problem has a difficulty label and description of the input and the expected output.

Setup

step1: Clone the (llipio/algorithms) repository locally

step2: Pick an issue that you would like to work on

step3: Add your solution to the yourSolution.js file in the solutions folder.

step4: To test your function, import your solution to the corresponding issue and simply add .only() to the test and run npm run test. The test should rerun automatically thereafter.

Add new problems

step1: If you would like to add new problems, please add problems by creating an issue using the guidelines below. 1. Make sure the issue does not already exists. 2. Name the issue and add a difficulty label. 3. Describe the problem including an input and the expected output.

Contributing

step1: Make sure to fork the repo before start working on a problem and create a feature branch for each problem only.

step2: Create a file under the solutions folder using the issue number as the name. Ex: 1.js, 2.js, and so on. If a file already exists, only add your solution the top of the file if it's unique. Do not remove any previous solutions.

step3: Tag your name in the comment for your solution like below:

  // Bill Ma
  const solutionToProblem = () => {
    // solution implementation ...
  }

step4: Run npm run test to make sure your solution works.

step5: Create a pull request to master branch with your solution and assign a reviewer (note: if someone has already worked on the problem, pick that person as the reviewer, otherwise just randomly pick a person to review your solution)

step6: Once your solution has been reviewed and merged to master, the next person who works on the same problem will know to assign you as the reviewer for this problem.

About

algorithm problem practice

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 100.0%