Git Product home page Git Product logo

18-binary-search-trees-hash-tables's Introduction

CF 18: Binary Search Trees and Hash Tables

Submission Instructions

  • Read this document entirely and estimate how long this assignment will take.
  • Work in a fork of this repository
  • Work in a branch on your fork
  • Protect your repository's master branch by activating continuous-integration/travis-ci status checks
  • Create a pull request from your lab + <your name> branch to your master branch
  • Open a pull request to this repository
  • Submit on canvas a question and observation,your original estimate, how long you spent, and a link to your pull request

Requirements

Configuration

Configure the root of your repository with the following files and directories. Thoughtfully name and organize any additional configuration or module files.

  • README.md - contains documentation
  • .env - contains env variables (should be git ignored)
  • .gitignore - contains a robust .gitignore file
  • .eslintrc.json - contains the course linter configuration
  • .eslintignore - contains the course linter ignore configuration
  • .travis.yml -
  • package.json - contains npm package config
    • create a test script for running tests
    • create dbon and dboff scripts for managing the mongo daemon
  • index.js - entry-point of the application
  • src/ - contains the remaining code
    • src/lib/ - contains module definitions
    • src/model/ - contains module definitions
    • src/route/ - contains module definitions
    • src/__test__/ - contains test modules
    • main.js - starts the server

Documentation

  • in your README, write documentation for your data structures
  • your documentation should includes code block usage examples
  • provide instructions for:
    • installing and using your data structure
    • accessing each method
    • running your tests

Feature Tasks

  • Add a remove(value) method to the BinarySearchTree class presented in class.

  • Implement a K-ary-Tree Class

    • implement the following prototype methods
      • find(value) should iterate over all child nodes using a breath-first traversal and return the first node that has that value, it should return null if a node with the value is not found
      • toString() should iterate over all child nodes using a breath-first traversal and concatenate their values separated by newlines in to a string
      • toArray(array) should use a depth-first traversal and push all the tree's elements into an array.

Big O

In the readme.md of your application, include the Big O complexity (time and space) for all the implemented methods.

Testing

  • Write at least 2 unit tests (one normal cases and one edge case) for every implemented method.
  • Organize your tests into appropriate describe blocks for test output readability

18-binary-search-trees-hash-tables's People

Contributors

vladimirsan avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.