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Swift,
functional programming,
& the future of Objective-C
Alexis Gallagher
@alexisgallagherPart of a talk delivered on 2014-07-02
Ques%ons
1. What's)new)in)Swi.?
2. Is)Swi.)a)func5onal)programming)language?
• And)what)is)"func5onal",)anyway?)Who)cares?
3. Is)ObjC)going)away?
• And)so,)is)everything)easier)now?
What's'hardly'new'in'Swi,?
Objective-C
• classes
• methods
• protocols
• categories
• functions
• ARC
• blocks
• Cocoa values 

& collections
Objective-C
Swift
• classes
• methods
• protocols
• extensions
• functions
• ARC
• closures
• Cocoa values 

& collections
just%syntax,%almost
ObjC:
// Foo.h
@interface Foo : UIView
@property (nonatomic,weak) UIView * myView
@end
@implementation Foo
- (CGFloat) addAtX:(CGFloat) x andY:(CGFloat) y {
UIView * v = [[UIView alloc] initWithFrame:CGRectMake(x,y,10,10)];
[self addSubview:v];
self.myView = v;
return x + y;
}
@end
just%syntax,%almost
Swi$:
class Foo: UIView {
weak var myView:UIView?
func addAt(#x:CGFloat, y:CGFloat) -> CGFloat {
let v = UIView(frame:CGRectMake(x,y,10,10))
self.addSubview(v)
self.myView = v
return x + y
}
}
blocks'(closures)
ObjC:
NSInteger (^increment)(NSInteger) = ^NSInteger (NSInteger x) {
return x+1;
}
Swi$:
let increment = {
(x:NSInteger) -> NSInteger in
return x+1
}
What's'a'bit$new'in'Swi,?
Objective-C
• structs
• namespaces
• operator
overloading
• ObjC interop
• Swift values &
collections
Swift+Swift
• classes
• methods
• protocols
• extensions
• functions
• ARC
• closures
• Cocoa values 

& collections
structs&are&peers&to&classes
ObjC:
CGRect r = [view frame];
CGFloat intTopY = CGRectGetMinY(CGRectIntegral(r));
Swi$:
extension CGRect {
func intTopY() -> CGFloat {
return CGRectGetMinY(CGRectIntegral(self))
}
}
let r = view.frame;
let intTopY = r.intTopY;
What's'really&new'in'Swi,?
Objective-C
• enums with associated values
• option types
• pattern matching
• generics
• type inference
• immutability supports
• tuples
Swift+
• structs
• namespaces
• operator
overloading
• ObjC interop
• Swift values &
collections
Swift+Swift
• classes
• methods
• protocols
• extensions
• functions
• ARC
• closures
• Cocoa values 

& collections
Objective-C
• enums with associated values
• option types
• pattern matching
• generics
• type inference
• immutability supports
• tuples
Swift+
• structs
• namespaces
• operator
overloading
• ObjC interop
• Swift values &
collections
Swift+Swift
• classes
• methods
• protocols
• extensions
• functions
• ARC
• closures
• Cocoa values 

& collections
Every “really new” part of Swift
originated in a functional programming
language of the 1980s or earlier.
FP
No#ma&er#what#language#you#work#
in,#programming#in#a#func7onal#style#
provides#benefits.#You#should#do#it#
whenever#it#is#convenient....
—"John"Carmack,"2012.
JavaScript*is*brilliant*and*is*
succeeding*...*and*I*think*it's*because*
of*the*func:onal*stuff.
—"Douglas"Crockford,"2014
a"programming"style
trea%ng(the
func%on
as#the#primary#unit#of#abstrac2on
t0 = 5
f(t0) = 50
NSNumber * t0 = @5;
NSNumber * pos = f(t0);
pos; // => 50
f(t0) = 50 pos = f(t0);
pos; //=> 100; (surprise!)
computational functions

do things
mathematical functions"
establish true relations
which remain true
mathematical variables"
are names
we give to values
t0 = 5
t0 = 5
t0 = 6
computational variables"
are like names for places,
whose contents can change
NSNumber * five = @5;
five = @6; // ?!
five = @7;
[five setIntegerValue:8]; // ?! ?!
FP style boils down to
• Restrictions to emulate the
predictability of mathematical
functions and variables
• Idioms to use functions for all
abstraction — in defining other
functions, in hiding information, etc.
• (Sometimes) type systems to
provide compile-time checks on the
values moving through functions
• purity and immutability guarantees



• function literals
• function closures
• functions as first-class values

• enums (aka, sum types, tagged unions)
• algebraic data types
• type inference
• fancy types: first-order, recursive, 

dependent, higher-kinded, constrained, 

etc..
FEATURES
• Idioms
• combine, pass, & return

functions like other values
• Restrictions
• pure functions
• immutable data
• Type systems (sometimes)
• to check valid values
STYLE
supported by
Haskell (1988)
Scheme (1975)
SML (1984)
ML (1973)
Scala (2003)
OCaml (1996)
Clojure (2009)
F# (2005)
Erlang (1986)
dynamic static
Coq, Agda, Idris
So is Swift “functional”?
Haskell SML Scheme Clojure Swift ObjC
purity & immutability help Yes, very. Y Y Y Y meh
function literals, closures,
first-classness
Y Y Y Y Y meh
expression-oriented Y Y Y Y N N
proper tail calls Y Y Y N ? ?
memory management Y Y Y Y meh meh
generics Y Y N N Y N
enum types Y Y N N Y N
type inference Y Y N N Y N
algebraic data types Y Y N N ? N
super DUPER fancy types Y ? N N N N
If this were 1998 

Swift would be a
niche functional language
If this were 1998 

Swift would be a
niche functional language
… but maybe we’re all functional now? or could be?
Should we care?
functional Swift: 

(embarrassingly trivial) HOFs
Higher'order*func/ons:*filter
ObjC:
NSArray * inArray = @[@"Hello",@"Ciao"];
NSArray * outArray = [inArray filteredArrayUsingPredicate:
[NSPredicate predicateWithBlock:
^BOOL(NSString * item, NSDictionary *bindings) {
return [item hasPrefix:@"Hello"];
}]];
Swi$:
let inArray = ["Hello","Ciao"];
let outArray = inputArray.filter({ $0.hasPrefix("Hello") })
Higher'order*func/ons:*map
ObjC:
NSArray * inArray = @[@"John Appleseed", @"Sally Appleseed"];
NSMutableArray * outArray = [NSMutableArray array];
for (NSString * name in inArray) {
[outArray addObject:[name componentsSeparatedByString:@" "][0]];
}
Swi$:
let inArray = ["John Appleseed", "Sally Appleseed"];
let outArray = inArray.map({ $0.componentsSeparatedByString(" ")[0] })
Higher'order*func/ons:*reduce
reduce!is!a!HOF!for!processing!a!collec1on!into!a!single!value.
Swi$:
let x = [1,2,3,4]
let sum = x.reduce(0, +);
sum // => 7
let product = x.reduce(1, *);
product //=> 24
Closures: variable capture on purpose
func makeCounter() -> (() -> NSInteger) {!
var x = 0!
func increment() -> NSInteger {!
x = x + 1;!
return x;!
}!
return increment;!
}!
!
var counter1 = makeCounter()!
var counter2 = makeCounter()!
!
counter1() //=> 1!
counter1() //=> 2!
counter1() //=> 3!
!
counter2() //=> 1!
functional Swift: 

JSON as ADT
JSON
NSJSONSerialization Class Reference
… 
An object that may be converted to JSON must have the following
properties:

•
The top level object is an NSArray or NSDictionary.

•
All objects are instances of NSString, NSNumber, NSArray,
NSDictionary, or NSNull.

•
All dictionary keys are instances of NSString.

•
Numbers are not NaN or infinity.
!
Other rules may apply. Calling isValidJSONObject: or attempting a
conversion are the definitive ways to tell if a given object can be
converted to JSON data.
JSON%as%algebraic%data%type
Enumera(on*with*associated*values
enum JSONValue {
case JNumber(NSNumber)
case JString(String)
case JBool(Bool)
case JNull
case JArray(Array<JSONValue>)
case JObject(Dictionary<String,JSONValue>)
case JInvalid(NSError)
// ...
}
Source:(h*ps://github.com/lingoer/Swi7yJSON
functional Swift: 

Improving on NSError
NSError&is&ugly
ObjC:
NSError *error;
NSData *data = [NSData dataWithContentsOfFile:file options:0 error:&error];
if(data == nil) {
// handle error
}
Either'type
Swi$:
enum DataResult {
case Success(NSData)
case Error(NSError)
// ...
}
switch NSData(contentsOfFile:file, options:0) {
case .Success(let data):
// handle data here then return
case .Error(let error):
// handle error here then return
}
SwiftZ (by maxpow4h)
Either and Result:!
//	
  Result	
  represents	
  something	
  that	
  could	
  work	
  or	
  be	
  an	
  NSError.	
  
//	
  Say	
  we	
  have	
  2	
  functions,	
  the	
  first	
  fetches	
  from	
  a	
  web	
  services,	
  
//	
  the	
  second	
  decodes	
  the	
  string	
  into	
  a	
  User.	
  
//	
  Both	
  *could*	
  fail	
  with	
  an	
  NSError,	
  so	
  we	
  use	
  a	
  Result<A>.	
  
func	
  getWeb()	
  -­‐>	
  Result<String>	
  {	
  
	
  	
  var	
  e:	
  NSError?	
  
	
  	
  let	
  str	
  =	
  doStuff("foo",	
  e)	
  
	
  	
  return	
  Result(e,	
  str)	
  
}	
  
!
func	
  decodeWeb(str:	
  String)	
  -­‐>	
  Result<User>	
  {	
  
	
  	
  var	
  e:	
  NSError?	
  
	
  	
  let	
  user	
  =	
  decode(str,	
  e)	
  
	
  	
  return	
  Result(e,	
  user)	
  
}	
  
!
//	
  We	
  can	
  compose	
  these	
  two	
  functions	
  with	
  the	
  `>>=`	
  function.	
  
!
let	
  getUser:	
  Result<User>	
  =	
  getWeb()	
  >>=	
  decodeWeb	
  
!
switch	
  (getUser)	
  {	
  
	
  	
  case	
  let	
  .Error(e):	
  println("NSError:	
  (e)")	
  
	
  	
  case	
  let	
  .Value(user):	
  println(user.name)	
  
Is ObjC going away? 

Is it “easier” now?
Objective-C
• enums with associated values
• option types
• pattern matching
• generics
• type inference
• immutability supports
• tuples
Swift+
• structs
• namespaces
• operator
overloading
• ObjC interop
• Swift values &
collections
Swift+Swift
• classes
• methods
• protocols
• extensions
• functions
• ARC
• closures
• Cocoa values 

& collections
–"Advanced Swift Debugging in LLDB", WWDC2014, session 410, 20m—28m.
“Objective-C isn't really going anywhere.... Even if you start a
brand new Swift app for the first time today after this session,
you're going to use Cocoa, or Cocoa Touch. You're going to
import Foundation. You're going to import UIKit. Those
frameworks are written in Objective-C. That means, wherever you
look around, there's going to be Objective-C in the picture.
And you're going to have to deal with debugging mixed Swift /
Objective-C situations..”
Canaries in the ObjC coal mine
• Swift achieves genuine C-like performance
• Swift-only types appearing at public API boundaries
• Deprecation of the ObjC runtime’s more dynamic features
• GitHub RAC devs (jspahrsummers, joshaber, & others)
• ReactiveCocoa. This work is indirectly influenced by typed FP.

<https://github.com/ReactiveCocoa/ReactiveCocoa>
• Maxwell Swadling
• SwiftZ. Currently translating lots of typed FP idioms into a Swift library. 

<https://github.com/maxpow4h/swiftz>
• David Nolen.
• Om. Functional approach to writing GUIs in the browser, using ClojureScript with
Facebook’s React, leveraging CSP-style concurrency. Untyped FP.

<http://swannodette.github.io/2013/12/17/the-future-of-javascript-mvcs/>
• Upcoming book from ObjC.io authors.
@end
• Videos, notes, and homework from the Coursera “Programming
Languages” course, a great intro to Scheme, SML, and Ruby.

<https://class.coursera.org/proglang-2012-001>
• Interesting way to do SICP: http://understudyapp.com
• The talks by Rich Hickey (inventor of Clojure) are very rich

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Swift, functional programming, and the future of Objective-C

  • 1. Swift, functional programming, & the future of Objective-C Alexis Gallagher @alexisgallagherPart of a talk delivered on 2014-07-02
  • 2. Ques%ons 1. What's)new)in)Swi.? 2. Is)Swi.)a)func5onal)programming)language? • And)what)is)"func5onal",)anyway?)Who)cares? 3. Is)ObjC)going)away? • And)so,)is)everything)easier)now?
  • 4. Objective-C • classes • methods • protocols • categories • functions • ARC • blocks • Cocoa values 
 & collections
  • 5. Objective-C Swift • classes • methods • protocols • extensions • functions • ARC • closures • Cocoa values 
 & collections
  • 6. just%syntax,%almost ObjC: // Foo.h @interface Foo : UIView @property (nonatomic,weak) UIView * myView @end @implementation Foo - (CGFloat) addAtX:(CGFloat) x andY:(CGFloat) y { UIView * v = [[UIView alloc] initWithFrame:CGRectMake(x,y,10,10)]; [self addSubview:v]; self.myView = v; return x + y; } @end
  • 7. just%syntax,%almost Swi$: class Foo: UIView { weak var myView:UIView? func addAt(#x:CGFloat, y:CGFloat) -> CGFloat { let v = UIView(frame:CGRectMake(x,y,10,10)) self.addSubview(v) self.myView = v return x + y } }
  • 8. blocks'(closures) ObjC: NSInteger (^increment)(NSInteger) = ^NSInteger (NSInteger x) { return x+1; } Swi$: let increment = { (x:NSInteger) -> NSInteger in return x+1 }
  • 10. Objective-C • structs • namespaces • operator overloading • ObjC interop • Swift values & collections Swift+Swift • classes • methods • protocols • extensions • functions • ARC • closures • Cocoa values 
 & collections
  • 11. structs&are&peers&to&classes ObjC: CGRect r = [view frame]; CGFloat intTopY = CGRectGetMinY(CGRectIntegral(r)); Swi$: extension CGRect { func intTopY() -> CGFloat { return CGRectGetMinY(CGRectIntegral(self)) } } let r = view.frame; let intTopY = r.intTopY;
  • 13. Objective-C • enums with associated values • option types • pattern matching • generics • type inference • immutability supports • tuples Swift+ • structs • namespaces • operator overloading • ObjC interop • Swift values & collections Swift+Swift • classes • methods • protocols • extensions • functions • ARC • closures • Cocoa values 
 & collections
  • 14. Objective-C • enums with associated values • option types • pattern matching • generics • type inference • immutability supports • tuples Swift+ • structs • namespaces • operator overloading • ObjC interop • Swift values & collections Swift+Swift • classes • methods • protocols • extensions • functions • ARC • closures • Cocoa values 
 & collections
  • 15. Every “really new” part of Swift originated in a functional programming language of the 1980s or earlier.
  • 16. FP
  • 20. t0 = 5 f(t0) = 50 NSNumber * t0 = @5; NSNumber * pos = f(t0); pos; // => 50 f(t0) = 50 pos = f(t0); pos; //=> 100; (surprise!) computational functions
 do things mathematical functions" establish true relations which remain true
  • 21. mathematical variables" are names we give to values t0 = 5 t0 = 5 t0 = 6 computational variables" are like names for places, whose contents can change NSNumber * five = @5; five = @6; // ?! five = @7; [five setIntegerValue:8]; // ?! ?!
  • 22. FP style boils down to • Restrictions to emulate the predictability of mathematical functions and variables • Idioms to use functions for all abstraction — in defining other functions, in hiding information, etc. • (Sometimes) type systems to provide compile-time checks on the values moving through functions
  • 23. • purity and immutability guarantees
 
 • function literals • function closures • functions as first-class values
 • enums (aka, sum types, tagged unions) • algebraic data types • type inference • fancy types: first-order, recursive, 
 dependent, higher-kinded, constrained, 
 etc.. FEATURES • Idioms • combine, pass, & return
 functions like other values • Restrictions • pure functions • immutable data • Type systems (sometimes) • to check valid values STYLE supported by
  • 24. Haskell (1988) Scheme (1975) SML (1984) ML (1973) Scala (2003) OCaml (1996) Clojure (2009) F# (2005) Erlang (1986) dynamic static Coq, Agda, Idris
  • 25. So is Swift “functional”?
  • 26. Haskell SML Scheme Clojure Swift ObjC purity & immutability help Yes, very. Y Y Y Y meh function literals, closures, first-classness Y Y Y Y Y meh expression-oriented Y Y Y Y N N proper tail calls Y Y Y N ? ? memory management Y Y Y Y meh meh generics Y Y N N Y N enum types Y Y N N Y N type inference Y Y N N Y N algebraic data types Y Y N N ? N super DUPER fancy types Y ? N N N N
  • 27. If this were 1998 
 Swift would be a niche functional language
  • 28. If this were 1998 
 Swift would be a niche functional language … but maybe we’re all functional now? or could be?
  • 31. Higher'order*func/ons:*filter ObjC: NSArray * inArray = @[@"Hello",@"Ciao"]; NSArray * outArray = [inArray filteredArrayUsingPredicate: [NSPredicate predicateWithBlock: ^BOOL(NSString * item, NSDictionary *bindings) { return [item hasPrefix:@"Hello"]; }]]; Swi$: let inArray = ["Hello","Ciao"]; let outArray = inputArray.filter({ $0.hasPrefix("Hello") })
  • 32. Higher'order*func/ons:*map ObjC: NSArray * inArray = @[@"John Appleseed", @"Sally Appleseed"]; NSMutableArray * outArray = [NSMutableArray array]; for (NSString * name in inArray) { [outArray addObject:[name componentsSeparatedByString:@" "][0]]; } Swi$: let inArray = ["John Appleseed", "Sally Appleseed"]; let outArray = inArray.map({ $0.componentsSeparatedByString(" ")[0] })
  • 33. Higher'order*func/ons:*reduce reduce!is!a!HOF!for!processing!a!collec1on!into!a!single!value. Swi$: let x = [1,2,3,4] let sum = x.reduce(0, +); sum // => 7 let product = x.reduce(1, *); product //=> 24
  • 34. Closures: variable capture on purpose func makeCounter() -> (() -> NSInteger) {! var x = 0! func increment() -> NSInteger {! x = x + 1;! return x;! }! return increment;! }! ! var counter1 = makeCounter()! var counter2 = makeCounter()! ! counter1() //=> 1! counter1() //=> 2! counter1() //=> 3! ! counter2() //=> 1!
  • 36. JSON NSJSONSerialization Class Reference … An object that may be converted to JSON must have the following properties: • The top level object is an NSArray or NSDictionary. • All objects are instances of NSString, NSNumber, NSArray, NSDictionary, or NSNull. • All dictionary keys are instances of NSString. • Numbers are not NaN or infinity. ! Other rules may apply. Calling isValidJSONObject: or attempting a conversion are the definitive ways to tell if a given object can be converted to JSON data.
  • 37. JSON%as%algebraic%data%type Enumera(on*with*associated*values enum JSONValue { case JNumber(NSNumber) case JString(String) case JBool(Bool) case JNull case JArray(Array<JSONValue>) case JObject(Dictionary<String,JSONValue>) case JInvalid(NSError) // ... } Source:(h*ps://github.com/lingoer/Swi7yJSON
  • 39. NSError&is&ugly ObjC: NSError *error; NSData *data = [NSData dataWithContentsOfFile:file options:0 error:&error]; if(data == nil) { // handle error }
  • 40. Either'type Swi$: enum DataResult { case Success(NSData) case Error(NSError) // ... } switch NSData(contentsOfFile:file, options:0) { case .Success(let data): // handle data here then return case .Error(let error): // handle error here then return }
  • 41. SwiftZ (by maxpow4h) Either and Result:! //  Result  represents  something  that  could  work  or  be  an  NSError.   //  Say  we  have  2  functions,  the  first  fetches  from  a  web  services,   //  the  second  decodes  the  string  into  a  User.   //  Both  *could*  fail  with  an  NSError,  so  we  use  a  Result<A>.   func  getWeb()  -­‐>  Result<String>  {      var  e:  NSError?      let  str  =  doStuff("foo",  e)      return  Result(e,  str)   }   ! func  decodeWeb(str:  String)  -­‐>  Result<User>  {      var  e:  NSError?      let  user  =  decode(str,  e)      return  Result(e,  user)   }   ! //  We  can  compose  these  two  functions  with  the  `>>=`  function.   ! let  getUser:  Result<User>  =  getWeb()  >>=  decodeWeb   ! switch  (getUser)  {      case  let  .Error(e):  println("NSError:  (e)")      case  let  .Value(user):  println(user.name)  
  • 42. Is ObjC going away? 
 Is it “easier” now?
  • 43. Objective-C • enums with associated values • option types • pattern matching • generics • type inference • immutability supports • tuples Swift+ • structs • namespaces • operator overloading • ObjC interop • Swift values & collections Swift+Swift • classes • methods • protocols • extensions • functions • ARC • closures • Cocoa values 
 & collections
  • 44. –"Advanced Swift Debugging in LLDB", WWDC2014, session 410, 20m—28m. “Objective-C isn't really going anywhere.... Even if you start a brand new Swift app for the first time today after this session, you're going to use Cocoa, or Cocoa Touch. You're going to import Foundation. You're going to import UIKit. Those frameworks are written in Objective-C. That means, wherever you look around, there's going to be Objective-C in the picture. And you're going to have to deal with debugging mixed Swift / Objective-C situations..”
  • 45. Canaries in the ObjC coal mine • Swift achieves genuine C-like performance • Swift-only types appearing at public API boundaries • Deprecation of the ObjC runtime’s more dynamic features
  • 46. • GitHub RAC devs (jspahrsummers, joshaber, & others) • ReactiveCocoa. This work is indirectly influenced by typed FP.
 <https://github.com/ReactiveCocoa/ReactiveCocoa> • Maxwell Swadling • SwiftZ. Currently translating lots of typed FP idioms into a Swift library. 
 <https://github.com/maxpow4h/swiftz> • David Nolen. • Om. Functional approach to writing GUIs in the browser, using ClojureScript with Facebook’s React, leveraging CSP-style concurrency. Untyped FP.
 <http://swannodette.github.io/2013/12/17/the-future-of-javascript-mvcs/> • Upcoming book from ObjC.io authors.
  • 47.
  • 48. @end
  • 49. • Videos, notes, and homework from the Coursera “Programming Languages” course, a great intro to Scheme, SML, and Ruby.
 <https://class.coursera.org/proglang-2012-001> • Interesting way to do SICP: http://understudyapp.com • The talks by Rich Hickey (inventor of Clojure) are very rich