You work at a library. People always ask you for words, and when you give them definitions, they ask about those words as well. You need to write a program that will help you come up with a list of related words.
You have a dictionary in JSON format, that looks like this:
{
"word": {
"definition": "a {collection} of {letters}",
"url": "//example.com/word"
},
"letter": {
"definition": "a character representing one or more of the sounds used in speech; any of the symbols of an alphabet",
"url": "//example.com/letter"
},
"collection": {
"definition": "a group of things or people",
"url": "//example.us/collection"
}
}
You need to parse this text, and generate a data structure that includes the urls of the referenced words (from brackets).
Some words are pluralized, and you have to be able to traverse to them anyway.
For example, when given "word", your program should return:
{
definition: "a collection of letters",
see_also: [
"//example.com/letter",
"//example.us/collection"
]
}
- Fork
- Clone
- Turn on TravisCI for the fork by visiting https://travis-ci.org/profile/, clicking the "Sync now" button and scrolling down to find the repository to build.
- Create a new branch for your work using
git checkout -b v1 - Implement specs and code
- Push using
git push -u origin v1
This warmup can be completed multiple times to increase your comfort level with the material. To work on this from scratch, you can:
- Add an upstream remote that points to the original repo
git remote add upstream git@github.com:gSchool/self-referencing-documentation.git - Fetch the latest from the upstream remote using
git fetch upstream - Create a new branch from the master branch of the upstream remote
git checkout -b v2 upstream/master - Implement specs and code
- Push using
git push -u origin v2
Each time you do the exercise, create a new branch. For example the 3rd time you do the exercise the branch name will be v3 instead of v2.