Functional Swift

Łódź wiOSłuje - August, 2014

Transcript

1. Functional Swift @chriseidhof Łódź wiOSłuje - August, 2014
2. What's Functional Programming? • Pure • Referentially transparent • Typed
3. Our data set let cities : [String:Int] = [ "Warszawa": 1706624 , "Kraków": 766583 , "Łódź": 753192 , "Wrocław": 632930 , "Poznań": 567932 ] let names = Array(cities.keys) let populations = Array(cities.values)
4. Names > [Poznań, Warszawa, Wrocław, Kraków, Łódź]
5. Populations > [567932, 1706624, 632930, 766583, 753192]
6. Map func addCity(s: String) -> String { return s + " is a city" } names.map(addCity) > [Poznań is a city, Warszawa is a city, Wrocław is a city, Kraków is a city, Łódź is a city]
7. Filter func isLodz(s: String) -> Bool { return s == "Łódź" } names.filter(isLodz) > [Łódź]
8. Filter, simplified names.filter({ (s: String) -> Bool in return s == "Łódź" }) > [Łódź]
9. Filter, more simplified names.filter({ s in return s == "Łódź" }) > [Łódź]
10. Filter, even more simplified names.filter({ return $0 == "Łódź" }) > [Łódź]
11. Filter, simplest names.filter { $0 == "Łódź" } > [Łódź] populations.filter { $0 > 1000000 } > [1706624]
12. Sum of an array func sum(arr: [Int]) -> Int { var result = 0 for i in arr { result += i } return result } sum(Array(1..<10)) > 45
13. Product of an array func product(arr: [Int]) -> Int { var result = 1 for i in arr { result *= i } return result } product(Array(1..<10)) > 362880
14. Reduce func reduce(initialValue: Int, combine: (Int,Int) -> Int, arr: [Int]) -> Int { var result = initialValue for i in arr { result = combine(result,i) } return result }
15. Reduce reduce(0, +, Array(1..<10)) > 45 reduce(1, *, Array(1..<10)) > 362880
16. Sum and Product let sum = { reduce(0,+,$0) } let product = { reduce(1,*,$0) }
17. Concatenate func concat(strings: [String]) -> String { var result = "" for x in strings { result += x } return result } concat(names) > PoznańWarszawaWrocławKrakówŁódź
18. Generics func reduce<A>(initialValue: A, combine: (A,A) -> A, arr: [A]) -> A { var result = initialValue for i in arr { result = combine(result,i) } return result } reduce("", +, names) > PoznańWarszawaWrocławKrakówŁódź
19. Adding line-breaks reduce("", { $0 + "\n" + $1 }, names) > Poznań > Warszawa > Wrocław > Kraków > Łódź
20. Making reduce more generic func reduce<A,R>(initialValue: R, combine: (R,A) -> R, arr: [A]) -> R { var result = initialValue for i in arr { result = combine(result,i) } return result }
21. Example: Core Image
22. The Objective-C way CIFilter *hueAdjust = [CIFilter filterWithName:@"CIHueAdjust"]; [hueAdjust setDefaults]; [hueAdjust setValue: myCIImage forKey: kCIInputImageKey]; [hueAdjust setValue: @2.094f forKey: kCIInputAngleKey];
23. A Swift Filter typealias Filter = CIImage -> CIImage
24. Blur func blur(radius: Double) -> Filter { return { image in let parameters : Parameters = [kCIInputRadiusKey: radius, kCIInputImageKey: image] let filter = CIFilter(name:"CIGaussianBlur", parameters:parameters) return filter.outputImage } }
25. Example let url = NSURL(string: "http://bit.ly/1pabRsM"); let image = CIImage(contentsOfURL: url) let blurBy5 = blur(5) let blurred = blurBy5(image)
27. Color Generator func colorGenerator(color: NSColor) -> Filter { return { _ in let filter = CIFilter(name:"CIConstantColorGenerator", parameters: [kCIInputColorKey: color]) return filter.outputImage } }
28. Composite Source Over func compositeSourceOver(overlay: CIImage) -> Filter { return { image in let parameters : Parameters = [kCIInputBackgroundImageKey: image, kCIInputImageKey: overlay] let filter = CIFilter(name:"CISourceOverCompositing", parameters: parameters) return filter.outputImage.imageByCroppingToRect(image.extent()) } }
29. Color Overlay func colorOverlay(color: NSColor) -> Filter { return { image in let overlay = colorGenerator(color)(image) return compositeSourceOver(overlay)(image) } }
30. Combining everything let blurRadius = 5.0 let overlayColor = NSColor.redColor().colorWithAlphaComponent(0.2) let blurredImage = blur(blurRadius)(image) let overlaidImage = colorOverlay(overlayColor)(blurredImage)
32. Combining everything, take 2 let result = colorOverlay(overlayColor)(blur(blurRadius)(image))
33. Filter composition func composeFilters(filter1: Filter, filter2: Filter) -> Filter { return {img in filter1(filter2(img)) } }
34. Using filter composition let myFilter1 = composeFilters(blur(blurRadius), colorOverlay(overlayColor)) let result1 = myFilter1(image)
35. Filter composition with an operator infix operator |> { associativity left } func |> (filter1: Filter, filter2: Filter) -> Filter { return {img in filter1(filter2(img))} }
36. Using filter composition let myFilter2 = blur(blurRadius) |> colorOverlay(overlayColor) let result2 = myFilter2(image)
37. Function composition func |> (f1: B -> C, f2: A -> B) -> A -> C { return {x in f1(f2(x))} }
38. Example: Spreadsheet
42. Expressions enum Expression { case Number(Int) // e.g. 10 case Reference(String,Int) // A0 case BinaryExpression(String,Expression,Expression) // 1 + A9 case FunctionCall(String,Expression) // SUM(...) }
43. Parsing references let reference = { Token.Reference($0,$1) } </> capital <*> naturalNumber
44. Parsing expressions prim = numberOrReference <|> functionCall <|> parens(expression)
45. Parsing expressions let operators : [[String]] = [ [":"] , ["*", "/"] , ["+", "-"] ] let expression = pack(operators, prim)
46. Parsing results We can now convert this: parse(expression, "SUM(A1:A9)") into this: Expression.FunctionCall("SUM", Expression.BinaryExpression( ":", Expression.Reference("A",1), Expression.Reference("A",9) ) )
47. Evaluating expressions
48. The result enum enum Result { case IntResult(Int) case StringResult(String) case ListResult([Result]) case EvaluationError(String) }
49. The evaluation function func evaluate(expressions: [Expression?]) -> [Result] { return expressions.map(evaluateExpression(expressions)) }
50. Evaluating an expression evaluateExpression([42,10*10,A0+A1])('A1') > 100 evaluateExpression([42,10*10,A0+A1])('A2') > 142
51. Evaluating an expression func evaluateExpression(context: [Expression?]) -> Expression? -> Result { return {e in e.map { expression in let compute = evaluateExpression(context) switch (expression) { case .Number(let x): return Result.IntResult(x) case .Reference("A", let idx): return compute(context[idx]) case .BinaryExpression(let s, let l, let r): return evaluateBinary(s, compute, l, r) case .FunctionCall(let f, let p): return evaluateFunction(f, compute(p)) default: return .EvaluationError("Couldn't evaluate expression") } } ?? .EvaluationError("Couldn't parse expression") } }
52. Mixing FP and OO class SpreadsheetDatasource : NSObject, NSTableViewDataSource, EditedRow
53. Mixing FP and OO var arr: [String] func tableView(aTableView: NSTableView, objectValueForTableColumn: NSTableColumn, row: Int) -> AnyObject { return editedRow == row ? arr[row] : results[row] }
54. Mixing FP and OO func calculateExpressions() { let expressions: [Expression?] = arr.map { if let tokens = parse(tokenize(), $0) { return parse(expression(), tokens) } return nil } results = evaluate(expressions) }
55. Conclusion FP is a massively powerful tool in your toolbox. Use it together with OO, and build awesome stuff.
56. By Chris Eidhof, Florian Kugler and Wouter Swierstra
57. @chriseidhof