Git Product home page Git Product logo

cs-implementing-the-map-interface-lab's Introduction

cs-implementing-the-map-interface-lab

Learning goals

  1. Write a simple implementation of the Map interface.

Overview

In the next few labs, we present several implementations of the Map interface. One of them, like the HashMap provided by Java, is based on a hash table, which is arguably the most magical data structure ever invented. Another, which is similar to TreeMap, is not quite as magical, but it has the added capability that it can iterate its elements in order.

You will have a chance to implement these data structures, and then we will analyze their performance.

But before we can explain hash tables, we'll start with a simple implementation of a Map using a List of key-value pairs.

Implementing MyLinearMap

As usual, we provide starter code and you will fill in the missing methods. Here's the beginning of the MyLinearMap class definition:

public class MyLinearMap<K, V> implements Map<K, V> {

	private List<Entry> entries = new ArrayList<Entry>();

This class uses two type parameters, K, which is the type of the keys, and V, which is the type of the values. MyLinearMap implements Map, which means it has to provide the methods in the Map interface.

A MyLinearMap object has a single instance variable, entries, which is an ArrayList of Entry objects. Each Entry contains a key-value pair. Here is the definition:

	public class Entry implements Map.Entry<K, V> {
		private K key;
		private V value;
		
		public Entry(K key, V value) {
			this.key = key;
			this.value = value;
		}
		
		@Override
		public K getKey() {
			return key;
		}
		@Override
		public V getValue() {
			return value;
		}
	}

There's not much to it; an Entry is just a container for a key and a value. This definition is nested inside MyLinearList, so it uses the same type parameters, K and V.

That's all you need to do the lab, so let's get started.

Instructions

When you check out the repository for this lab, you should find a file structure similar to what you saw in previous labs. The top level directory contains CONTRIBUTING.md, LICENSE.md, README.md, and the directory with the code for this lab, javacs-lab07.

In the subdirectory javacs-lab07/src/com/flatironschool/javacs you'll find the source files for this lab:

*  `MyLinearMap.java` contains starter code for the first part of the lab.

*  `MyLinearMapTest.java` contains the unit tests for `MyLinearMap`.

And in javacs-lab07, you'll find the Ant build file build.xml.

  • In javacs-lab07, run ant build to compile the source files. Then run ant test, which runs MyLinearMapTest. Several tests should fail, because you have some work to do!

  • First, fill in the body of findEntry. This is a helper function that is not part of the Map interface, but once you get it working, you can use it for several methods. Given a target key, it should search through the entries and return the entry that contains the target (as a key, not a value) or null if it's not there. Notice that we have provided an equals method that compares two keys and handles null correctly.

    You can run ant test again, but even if your findEntry is correct, the tests won't pass because put is not complete.

  • Fill in put. You should read the documentation of Map.put so you know what it is supposed to do. You might want to start with a version of put that always adds a new entry and does not modify an existing entry; that way you can test the simple case first. Or if you feel more confident, you can write the whole thing at once.

    Once you've got put working, the test for containsKey should pass.

  • Read the documentation of Map.get and then fill in the method. Run the tests again.

  • Finally, read the documentation of Map.remove and then fill in the method.

    At this point, all tests should pass. Congratulations!

In the next lesson, we'll present our solutions, analyze the performance of the core Map methods, and introduce a more efficient implementation.

cs-implementing-the-map-interface-lab's People

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  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.