|ReleasedLast Release||Sep 2015|
Maintained by Honza Dvorsky.
Work In Progress.
Let's say you have a list of funny quotes from all yours friends and you suddenly remember that there's a gem mentioning a 'scar'. Instead of having to go through all your friends' quotes one by one until you find it, use
hit instead! Just run your data to get an
Index and then ask it to give you back who's responsible for that quote and in what context it was said.
Let's look at our data
let quotes = [ (string: "Hasta la Pizza, baby", identifier: "Dino"), (string: "Sorry I'm late, my car aborted half way to work", identifier: "Rob"), (string: "Icecream always makes me think of Scary Movie. Get it? I scream?", identifier: "Sarah"), (string: "Who is not been scarred by love has not lived.", identifier: "John") ] //create an empty index let index = Index() //feed it your data index.updateIndexFromRawStringsAndIdentifiers(quotes, save: false)
and we remember that someone said something ridiculously cheezy about
scars, let's go for it and search for
scar, hoping we'll get a hit.
//search for stuff! let results = index.prefixSearch("scar") //look at results /* * -> 2 results : [ * "scary" -> [ "Sarah" : Range(34..<39) ], * "scarred" -> [ "John" : Range(16..<23) ] * ] */
Turns out we got two. One from Sarah about Scary Movie:
Icecream always makes me think of Scary Movie. Get it? I scream? |---| 34 39
and another one from John about, right that's the ridiculous one, well, read it yourself:
Who is not been scarred by love has not lived. |-----| 16 23
Cool (?), our results actually tell us that he used the exact word scarred in the range of
16..<23. That would be useful to know if we wanted to highlight the word itself.