00:00 Here I have an array of objects representing pets, three dogs and two cats. I've imported the Ramda library. I'm going to use Ramda to filter the pets array and return just the dogs.
00:11 I'll start by defining a predicate function, which I'll call "dogcheck." Dogcheck is going to be a function that's going to take in a pet. It's going to check "pet.type," see if it's equal to "dog."
00:27 To get my result, I'm going to call "R.filter," passing it dogcheck and the pets array. So we can see what's happening, I'm going to log out result. I can run that, and we should get a list back with just the three dogs.
00:50 Let's say instead of the dogs, I want to get back the cats. What I could do is come up here and duplicate this. I could create "catcheck" that checks the pet's type against cat, call that as my predicate in my filter. When I run that, I'll get back the two cats rather than three dogs.
01:12 Because I'm using Ramda, there's another way I can handle this. Let's get rid of catcheck and set this back to dogcheck. Of course, if I run this, I'm going to get the dogs, because I'm filtering based on dogcheck. What I can do, here, is I can change this filter to "reject," and I can have it reject the dogs, which will give me the cats.
01:41 Let's say I need both dogs and cats, but I want to separate them based on this predicate. There's a way to do that, too. I can come in here, and I can say "R.partition," pass it a predicate function in my collection.
01:57 When I run it, you'll see I get a nested array, where the first element are the items that match my predicate, so the results I would get for "filter." The second array are the results I would get for "reject."