Functional programming in Swift

WHAT
Functional programming is a programming paradigm
1. treats computation as the evaluation of mathematical functions
2. avoids changing-state and mutable data
— Wikipedia

IMPERATIVE: MACHINE
let nums = [1, 2, 3, 4, 5, 6, 7]
var strs = [String]()
for var i = 0; i < nums.count; ++i {
strs.append(String(nums[i]))
}

DECLARATIVE: MATHEMATICS
let nums = [1, 2, 3, 4, 5, 6, 7]
let strs = nums.map(String.init)

CURRY
func x(a: A, b: B, c: C) -> E
func x(a: A) -> (b: B) -> (c: C) -> E

CURRY
struct User {
func login(password: String)
}
let passwd = "@Swift"
let usr = User()
usr.login(passwd)

CURRY
struct User {
func login(password: String)
}
let passwd = "@Swift"
let usr = User()
User.login(usr)(passwd)

CURRY
usr.login(passwd)
||
User.login(usr)(passwd)

CURRY IN PRACTICE
struct User {
func name() -> String
}
let collation: UILocalizedIndexedCollation = ...
let sorted = collation.sortedArrayFromArray(users,
collationStringSelector: "name")

CURRY IN PRACTICE
class Wrapper<T>: NSObject {
let payload: T
let localization: (T) -> () -> String
@objc func localizable() -> NSString {
return localization(payload)()
}
static var selector: Selector {
return "localizable"
}
}

CURRY IN PRACTICE
let wrappers = users.map {
Wrapper(payload: $0, localization: User.name)
}
let sorted = collation.sortedArrayFromArray(wrappers,
collationStringSelector: Wrapper<User>.selector)

OPTIONAL
enum Optional<T> {
case None
case Some(T)
}

OPTIONAL
func map(f: T -> U) -> U?
func flatMap(f: T -> U?) -> U?
let date: NSDate? = ...
let formatter: NSDateFormatter = ...
let dateString = date.map(formatter.stringFromDate)

ARRAY
func map<T>(t: Self.Generator.Element -> T) -> [T]
func flatMap<S: SequenceType>
(t: Self.Generator.Element -> S) -> [S.Generator.Element]

PROMISE
class Promise<T> {
func then(body: T -> U) -> Promise
func then(body: T -> Promise) -> Promise
}

PROMISE
class Promise<T> {
func map(body: T -> U) -> Promise
func flatMap(body: T -> Promise) -> Promise
}

OBSERVABLE
class Observable<T> {
func map(body: T -> U) -> Observable
func flatMap(body: T -> Observable) -> Observable
}

ASYNC CALLBACK
(value: T?, error: ErrorType?) -> Void

ASYNC CALLBACK
(value: T?, error: ErrorType?) -> Void
if let error = error {
// handle error
} else if let value = value {
// handle value
} else {
// all nil?
}
// all non-nil?!

RESULT
enum Result<Value> {
case Failure(ErrorType)
case Success(Value)
}

RESULT
(result: Result<T>) -> Void
switch result {
case let .Error(error):
// handle error
case let .Success(value):
// handle value
}

RESULT
enum Result<Value> {
func map<T>(...) -> Result<T> {
...
}
func flatMap<T>(...) -> Result<T> {
...
}
}

RESULT
func flatMap<T>(@noescape transform: Value throws -> Result<T>) rethrows -> Result<T> {
switch self {
case let .Failure(error):
return .Failure(error)
case let .Success(value):
return try transform(value)
}
}
func map<T>(@noescape transform: Value throws -> T) rethrows -> Result<T> {
return try flatMap { .Success(try transform($0)) }
}

RESULT
func toImage(data: NSData) -> Result<UIImage>
func addAlpha(image: UIImage) -> Result<UIImage>
func roundCorner(image: UIImage) -> Result<UIImage>
func applyBlur(image: UIImage) -> Result<UIImage>

RESULT
toImage(data)
.flatMap(addAlpha)
.flatMap(roundCorner)
.flatMap(applyBlur)

REFERENCE
▸ Wikipedia
▸ Haskell Wiki
▸ Functional Programming in Swift
▸ objc.io

Functional programming in Swift

More Related Content

What's hot

Viewers also liked

Similar to Functional programming in Swift

Recently uploaded

Functional programming in Swift