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Functional Programming
      with Groovλ
@ArturoHerrero

http://arturoherrero.com
Working at OSOCO




Small but outstanding software development shop
           Groovy and Grails hackers
               on EC2 cloud nine
              TDD mantra singers
               Quality preachers
LISt Processing



  (define (factorial n)
    (if (= n 1)
        1
        (* n (factorial (- n 1)))))
Lots of Insipid Stupid Parentheses



  (         (factorial   )
      (   (     )

          (    (factorial (   )))))
Code Complete


The Pragmatic Programmer


Structure and Interpretation of Computer Programs
Functional Programming with Groovy
A language that doesn't affect the way you think
   about programming, is not worth knowing

                                     Alan Perlis
Functional Programming
Function
Functional Programming
    Avoiding Mutable State
λ




    Side-Effect-Free Functions
λ




    Referential Transparency
λ




    First-Class Citizens
λ




    Higher-Order Functions
λ




    Lambdas and Closures
λ




    Lazy Evaluation
λ




    Recursion
λ
Why Functional Programming?
    Referential transparency
λ




    Unit testing
λ




    Debbuging
λ




    Parallelization
λ




    Modularity and composition
λ




    Increases the quality of code
λ




    Abstractions
λ
OOP vs. FP
Imperative vs. Declarative

Imperative: how to achieve our goal
 Take the next customer from a list.
 If the customer lives in Spain, show their details.
 If there are more customers in the list, go to the beginning



Declarative: what we want to achieve
 Show customer details of every customer living in Spain
Imperative vs. Declarative

Functional programming is like describing
   your problem to a mathematician.
 Imperative programming is like giving
       instructions to an idiot.

                arcus, #scheme on Freenode
Functional Programming
with Groovy?

             is an imperative language,

but we still can apply functional principles

   It's basically a programmer's choice
Immutability
Simple
  Immutable objects can only be in exactly
  one state, the state in which it was created

Always consistent
  Less prone to errors and more secure

Immutable objects can be shared freely
  Freedom to cache

Inherently thread-safe
Immutability
NO: (even being a name rebind and not a real update)
book =   'Fooled by Randomness'
book =   "$book - Nassim Taleb"
book =   "$book (2001)"
assert   'Fooled by Randomness - Nassim Taleb (2001)' == book




YES:
book = 'Fooled   by Randomness'
bookWithAuthor   = "$book - Nassim Taleb"
completeBook =   "$bookWithAuthor (2001)"
assert 'Fooled   by Randomness - Nassim Taleb (2001)' == completeBook
Immutability
NO:
years = [2001, 2002]
years << 2003
years += [2004, 2005]
assert [2001, 2002, 2003, 2004, 2005] == years




YES:
years = [2001, 2002]
allYears = years + 2003 + [2004, 2005]
assert [2001, 2002, 2003, 2004, 2005] == allYears
Immutability
def list = ['Gr', 'vy']

NO:
list.addAll 1, 'oo'
assert list == ['Gr', 'oo', 'vy']


YES:
assert list.plus(1, 'oo') == ['Gr', 'oo', 'vy']
assert list == ['Gr', 'vy']
Immutability
def list = [1, 2, 2, 3]

NO:
list.removeAll 2
assert list == [1, 3]


YES:
assert list.minus(2) == [1, 3]
assert list == [1, 2, 2, 3]
Immutability
def list = ['Scala', 'Groovy', 'Java']

NO:
sortedList = list.sort()
assert sortedList == ['Groovy', 'Java', 'Scala']
assert list == ['Groovy', 'Java', 'Scala']


YES:
sortedList = list.sort(false)
assert sortedList == ['Groovy', 'Java', 'Scala']
assert list == ['Scala', 'Groovy', 'Java']
Immutability
def list = ['Java', 'Groovy', 'Java']

NO:
uniqueList = list.unique()
assert uniqueList == ['Java', 'Groovy']
assert list == ['Java', 'Groovy']


YES:
uniqueList = list.unique(false)
assert uniqueList == ['Java', 'Groovy']
assert list == ['Java', 'Groovy', 'Java']
Immutability
def list = ['Java', 'Groovy']

NO:
reverseList = list.reverse(true)
assert reverseList == ['Groovy', 'Java']
assert list == ['Groovy', 'Java']


YES:
reverseList = list.reverse()
assert reverseList == ['Groovy', 'Java']
assert list == ['Java', 'Groovy']
Immutability Collection
def list = ['Groovy', 'Java'].asImmutable()
assert 'Groovy' == list.first()

try {
    list.add 'Scala'    // Cannot add item
} catch (e) {
    assert e instanceof UnsupportedOperationException
}

try {
    list.remove 'Java' // Cannot remove item
} catch (e) {
    assert e instanceof UnsupportedOperationException
}
Immutability Class

@Immutable class Coordinates {
    Double latitude, longitude
}

def c1 = new Coordinates(latitude: 48.824068,
                         longitude: 2.531733)

def c2 = new Coordinates(48.824068, 2.531733)

assert c1 == c2
Higher-Order Functions

First-Class Citizen
 Can be stored in variables
 Can be passed as function parameter
 Can be returned from functions

Higher-Order Functions (First-Class Functions)
 Functions that take other functions
 as arguments or return them as results
Closures
def closure = { 'Hello world!' }
assert closure() == 'Hello world!'

def sum = { a, b -> a + b }
assert sum(2,3) == 5

def square = { it * it }
assert square(9) == 81

final BASE = 1000
def salary = { variable -> BASE + variable }
assert salary(500) == 1500
Turn Methods into Closures
def salary(variable) {
    final BASE = 1000
    BASE + variable
}
assert salary(500) == 1500

def salaryClosure = this.&salary
assert salaryClosure(500) == 1500
Closures Composition

def minutesToSeconds = { it * 60 }
def hoursToMinutes = { it * 60 }
def daysToHours = { it * 24 }

def hoursToSeconds = minutesToSeconds << hoursToMinutes
def daysToSeconds = hoursToSeconds << daysToHours

assert daysToSeconds(1) == 86400
Closures Composition

def upper = { it.toUpperCase() }
def firstLetter = { it.charAt(0) }

def words = ["Don't", "Repeat", "Yourself"]
def acronym = words.collect(firstLetter >> upper).join()

assert acronym == 'DRY'
Currying
given:   ƒ: (X x Y) -> Z

then:    curry(ƒ): X -> (Y -> Z)

  Takes a function with a particular
 number of parameters and returns a
 function with some of the parameter
 values fixed, creating a new function
Currying
def modulus = { mod, num ->
    num % mod
}
assert modulus(2, 5) == 1
assert modulus(3, 5) == 2

def mod2 = modulus.curry(2)
assert mod2(5) == 1

def mod3 = modulus.curry(3)
assert mod3(5) == 2
Currying
def bill = { amount, currency ->
    "$amount $currency"
}
assert bill(1000, '$') == '1000 $'
assert bill(1000, '€') == '1000 €'

def billInDollars = bill.rcurry('$')
assert billInDollars(1000) == '1000 $'

def billInEuros = bill.rcurry('€')
assert billInEuros(1000) == '1000 €'
Currying
def joinWithSeparator = { one, sep, two ->
    one + sep + two
}

def joinWithAmpersand =
    joinWithSeparator.ncurry(1, '&')

assert joinWithAmpersand('a', 'b') == 'a&b'
Classic Operations on
Functional Data Types

   list          filter



                  map



                  fold
Classic Operations on
Functional Data Types

   list         findAll



                collect



                 inject
Classic Operations on
Functional Data Types

   list           any

                 every
                 sort

                  min
                  sum
findAll()
NO:
def result = []
[1, 2, 3, 4].each {
    if (it > 2) {
        result << it
    }
}
assert result == [3, 4]


YES:
assert [1, 2, 3, 4].findAll{ it > 2 } == [3, 4]
collect()
NO:
def result = []
[1, 2, 3].each {
    result << it * 2
}
assert result == [2, 4, 6]


YES:
assert [1, 2, 3].collect{ it * 2 } == [2, 4, 6]
inject()
NO:
def total = 0
[1, 2, 3].each {
    total += it
}
assert total == 6


YES:
def total = [1, 2, 3].inject(0) { acc, n ->
    acc + n
}
assert total == 6
find()
NO:
def result
try {
    [1, 2, 3].each {
        if (it > 1) {
            result = it
            throw new Exception()   // monstrous
        }
    }
} catch(exception) { }
assert result == 2


YES:
assert [1, 2, 3].find{ it > 1 } == 2
max()
@TupleConstructor   // import groovy.transform.*
class Person {
    String name
    Integer age
}

def   person1 = new Person('Arturo', 26)
def   person2 = new Person('Luis', 61)
def   person3 = new Person('Laura', 19)
def   family = [] << person1 << person2 << person3

assert family.max{ it.age }.age == 61
assert family.collect{ it.age }.max() == 61
assert family*.age.max() == 61
Refactoring
def exists = false
family.each { person ->
    if (person.age > 60) {
        exists = true
    }
}
assert exists == true

def exists = family.inject(false) { found, person ->
    if (person.age > 60) {
        found = true
    }
    return found
}
assert exists == true

assert family.any{ it.age > 60 } == true
Combinator Functions
@TupleConstructor // import groovy.transform.*
class Person {
    String name
    String lastname
    Integer age
}

def   rafa = new Person('Rafael', 'Luque', 36)
def   marcin = new Person('Marcin', 'Gryszko', 34)
def   arturo = new Person('Arturo', 'Herrero', 26)
def   osokers = [] << rafa << marcin << arturo << rafa

assert osokers.unique(false)
              .findAll{ it.age > 30}
              .sort{ it.lastname } == [marcin, rafa]

assert osokers == [rafa, marcin, arturo, rafa]
Combinator Functions
// Procedural style
def count = 0
for (i in (1 .. 1000)) {
    if (i % 2) {
        count += ("$i".size())
    }
}
assert count == 1445

// Functional style
def count = (1 .. 1000).findAll{ it % 2 }
                       .collect{ "$it" }
                       .inject(0) { sum, num ->
                            sum + num.size()
                        }
assert count == 1445
Lazy Evaluation
Only does as much work as necessary
 Delays the evaluation of the expression
 until it's needed

CPU efficient
  The value is not calculated or assigned
  until the value is requested

Manage potentially infinite data structures
 Only a manageable subset of the data
 will actually be used
Lazy Evaluation

class Person {
    @Lazy String name = 'Arturo'
}

def person = new Person()
assert !(person.dump().contains('Arturo'))

assert person.name.size() == 6
assert person.dump().contains('Arturo')
Lazy Evaluation
class Get {
    String url
    @Lazy URL urlObj = { url?.toURL() }()
    @Lazy(soft=true) String text = urlObj?.text
}

def get = new Get(url: 'http://arturoherrero.com')

assert get.url == 'http://arturoherrero.com'
assert get.dump().contains('text=null')
assert get.dump().contains('urlObj=null')

assert get.urlObj.protocol == 'http'
assert get.urlObj.host == 'arturoherrero.com'
assert get.text.contains('Arturo Herrero')
Lazy Evaluation
groovy.sql.DataSet.DataSet
groovy.util.XmlSlurper



@Singleton(lazy=true)
class Util {
    Integer count(text) {
        text.size()
    }
}

assert 6 == Util.instance.count('Arturo')
Infinite structures

class LazyList {
    ...
}

def naturalnumbers = integers(1)
assert '1 2 3 4 5 6' == naturalnumbers.take(6).join(' ')

def evennumbers = naturalnumbers.filter{ it % 2 == 0 }
assert '2 4 6 8 10 12' == evennumbers.take(6).join(' ')
Infinite structures

@Grab('org.functionaljava:functionaljava:3.0')
import fj.data.Stream

Stream.metaClass.filter = { Closure c ->
    delegate.filter(c as fj.F) }

Stream.metaClass.asList = {
    delegate.toCollection().asList() }

def evens = Stream.range(1).filter{ it % 2 == 0 }
assert [2, 4, 6, 8, 10, 12] == evens.take(6).asList()
Recursive
factorial(6)
6 * factorial(5)
6 * (5 * factorial(4))
6 * (5 * (4 * factorial(3)))
6 * (5 * (4 * (3 * factorial(2))))
6 * (5 * (4 * (3 * (2 * factorial(1)))))
6 * (5 * (4 * (3 * (2 * 1))))
6 * (5 * (4 * (3 * 2)))
6 * (5 * (4 * 6))
6 * (5 * 24)
6 * 120
720
Recursive
factorial(6)
6 * factorial(5)
6 * (5 * factorial(4))
6 * (5 * (4 * factorial(3)))
6 * (5 * (4 * (3 * factorial(2))))
6 * (5 * (4 * (3 * (2 * factorial(1)))))
6 * (5 * (4 * (3 * (2 * 1))))
6 * (5 * (4 * (3 * 2)))
6 * (5 * (4 * 6))
6 * (5 * 24)
6 * 120
720
Tail-Recursive
factorial(6,   1)
factorial(5,   6)
factorial(4,   30)
factorial(3,   120)
factorial(2,   360)
factorial(1,   720)
Tail-Recursive
factorial(6,   1)
factorial(5,   6)
factorial(4,   30)
factorial(3,   120)
factorial(2,   360)
factorial(1,   720)
Tail Call Optimization

3 techniques:

    The compiler transform the recursion into a loop
λ




    Let the JVM recognize the recursion and eliminate it
λ




    Transform the recursion into iterative by hand
λ
Tail Call Optimization

3 techniques:

    The compiler transform the recursion into a loop
λ




    Let the JVM recognize the recursion and eliminate it
λ




    Transform the recursion into iterative by hand
λ




                                          really?
Tail Call Optimization

def factorial

factorial = { n ->
    n == 1 ? 1 :
    n * factorial(n - 1)
}

factorial(1000)
Tail Call Optimization
                                rflow
                           kO ve
def factorial       S   tac
factorial = { n ->
    n == 1 ? 1 :
    n * factorial(n - 1)
}

factorial(1000)
Tail Call Optimization

def factorial

factorial = { n, BigInteger acc = 1 ->
    n == 1 ? acc :
    factorial(n - 1, n * acc)
}

factorial(1000)
Tail Call Optimization
                                rflow
                           kO ve
def factorial       S   tac
factorial = { n, BigInteger acc = 1 ->
    n == 1 ? acc :
    factorial(n - 1, n * acc)
}

factorial(1000)
Tail Call Optimization

def factorial

factorial = { n, BigInteger acc = 1 ->
    n == 1 ? acc :
    factorial.trampoline(n - 1, n * acc)
}.trampoline()

factorial(1000)
Trampolining

def even, odd

even = { x -> x == 0 ? true :
              odd.trampoline(x - 1) }.trampoline()

odd = { x -> x == 0 ? false :
             even.trampoline(x - 1) }.trampoline()

assert even(1000) == true
Memoization

def fibonacci

fibonacci = { n ->
    n <= 1 ? n :
    fibonacci(n - 1) + fibonacci(n - 2)
}

fibonacci(35)   // 9.935 seconds
Memoization

def fibonacci

fibonacci = { n ->
    n <= 1 ? n :
    fibonacci(n - 1) + fibonacci(n - 2)
}.memoize()

fibonacci(35)   // 0.002 seconds
Memoization
def plus = { a, b -> sleep 1000; a + b }.memoize()

assert   plus(1,   2)   ==   3   //   after 1000ms
assert   plus(1,   2)   ==   3   //   return immediately
assert   plus(2,   2)   ==   4   //   after 1000ms
assert   plus(2,   2)   ==   4   //   return immediately

def plusAtLeast = { ... }.memoizeAtLeast(10)

def plusAtMost      = { ... }.memoizeAtMost(10)

def plusBetween = { ... }.memoizeBetween(10, 20)
“Functional” is more a way of thinking
            than a tool set

                            Neal Ford
Be a craftsman
Functional Programming with Groovy
Thank you!
@ArturoHerrero

Join us at OSOCO

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Functional Programming with Groovy

  • 1. Functional Programming with Groovλ
  • 3. Working at OSOCO Small but outstanding software development shop Groovy and Grails hackers on EC2 cloud nine TDD mantra singers Quality preachers
  • 4. LISt Processing (define (factorial n) (if (= n 1) 1 (* n (factorial (- n 1)))))
  • 5. Lots of Insipid Stupid Parentheses ( (factorial ) ( ( ) ( (factorial ( )))))
  • 6. Code Complete The Pragmatic Programmer Structure and Interpretation of Computer Programs
  • 8. A language that doesn't affect the way you think about programming, is not worth knowing Alan Perlis
  • 11. Functional Programming Avoiding Mutable State λ Side-Effect-Free Functions λ Referential Transparency λ First-Class Citizens λ Higher-Order Functions λ Lambdas and Closures λ Lazy Evaluation λ Recursion λ
  • 12. Why Functional Programming? Referential transparency λ Unit testing λ Debbuging λ Parallelization λ Modularity and composition λ Increases the quality of code λ Abstractions λ
  • 14. Imperative vs. Declarative Imperative: how to achieve our goal Take the next customer from a list. If the customer lives in Spain, show their details. If there are more customers in the list, go to the beginning Declarative: what we want to achieve Show customer details of every customer living in Spain
  • 15. Imperative vs. Declarative Functional programming is like describing your problem to a mathematician. Imperative programming is like giving instructions to an idiot. arcus, #scheme on Freenode
  • 16. Functional Programming with Groovy? is an imperative language, but we still can apply functional principles It's basically a programmer's choice
  • 17. Immutability Simple Immutable objects can only be in exactly one state, the state in which it was created Always consistent Less prone to errors and more secure Immutable objects can be shared freely Freedom to cache Inherently thread-safe
  • 18. Immutability NO: (even being a name rebind and not a real update) book = 'Fooled by Randomness' book = "$book - Nassim Taleb" book = "$book (2001)" assert 'Fooled by Randomness - Nassim Taleb (2001)' == book YES: book = 'Fooled by Randomness' bookWithAuthor = "$book - Nassim Taleb" completeBook = "$bookWithAuthor (2001)" assert 'Fooled by Randomness - Nassim Taleb (2001)' == completeBook
  • 19. Immutability NO: years = [2001, 2002] years << 2003 years += [2004, 2005] assert [2001, 2002, 2003, 2004, 2005] == years YES: years = [2001, 2002] allYears = years + 2003 + [2004, 2005] assert [2001, 2002, 2003, 2004, 2005] == allYears
  • 20. Immutability def list = ['Gr', 'vy'] NO: list.addAll 1, 'oo' assert list == ['Gr', 'oo', 'vy'] YES: assert list.plus(1, 'oo') == ['Gr', 'oo', 'vy'] assert list == ['Gr', 'vy']
  • 21. Immutability def list = [1, 2, 2, 3] NO: list.removeAll 2 assert list == [1, 3] YES: assert list.minus(2) == [1, 3] assert list == [1, 2, 2, 3]
  • 22. Immutability def list = ['Scala', 'Groovy', 'Java'] NO: sortedList = list.sort() assert sortedList == ['Groovy', 'Java', 'Scala'] assert list == ['Groovy', 'Java', 'Scala'] YES: sortedList = list.sort(false) assert sortedList == ['Groovy', 'Java', 'Scala'] assert list == ['Scala', 'Groovy', 'Java']
  • 23. Immutability def list = ['Java', 'Groovy', 'Java'] NO: uniqueList = list.unique() assert uniqueList == ['Java', 'Groovy'] assert list == ['Java', 'Groovy'] YES: uniqueList = list.unique(false) assert uniqueList == ['Java', 'Groovy'] assert list == ['Java', 'Groovy', 'Java']
  • 24. Immutability def list = ['Java', 'Groovy'] NO: reverseList = list.reverse(true) assert reverseList == ['Groovy', 'Java'] assert list == ['Groovy', 'Java'] YES: reverseList = list.reverse() assert reverseList == ['Groovy', 'Java'] assert list == ['Java', 'Groovy']
  • 25. Immutability Collection def list = ['Groovy', 'Java'].asImmutable() assert 'Groovy' == list.first() try { list.add 'Scala' // Cannot add item } catch (e) { assert e instanceof UnsupportedOperationException } try { list.remove 'Java' // Cannot remove item } catch (e) { assert e instanceof UnsupportedOperationException }
  • 26. Immutability Class @Immutable class Coordinates { Double latitude, longitude } def c1 = new Coordinates(latitude: 48.824068, longitude: 2.531733) def c2 = new Coordinates(48.824068, 2.531733) assert c1 == c2
  • 27. Higher-Order Functions First-Class Citizen Can be stored in variables Can be passed as function parameter Can be returned from functions Higher-Order Functions (First-Class Functions) Functions that take other functions as arguments or return them as results
  • 28. Closures def closure = { 'Hello world!' } assert closure() == 'Hello world!' def sum = { a, b -> a + b } assert sum(2,3) == 5 def square = { it * it } assert square(9) == 81 final BASE = 1000 def salary = { variable -> BASE + variable } assert salary(500) == 1500
  • 29. Turn Methods into Closures def salary(variable) { final BASE = 1000 BASE + variable } assert salary(500) == 1500 def salaryClosure = this.&salary assert salaryClosure(500) == 1500
  • 30. Closures Composition def minutesToSeconds = { it * 60 } def hoursToMinutes = { it * 60 } def daysToHours = { it * 24 } def hoursToSeconds = minutesToSeconds << hoursToMinutes def daysToSeconds = hoursToSeconds << daysToHours assert daysToSeconds(1) == 86400
  • 31. Closures Composition def upper = { it.toUpperCase() } def firstLetter = { it.charAt(0) } def words = ["Don't", "Repeat", "Yourself"] def acronym = words.collect(firstLetter >> upper).join() assert acronym == 'DRY'
  • 32. Currying given: ƒ: (X x Y) -> Z then: curry(ƒ): X -> (Y -> Z) Takes a function with a particular number of parameters and returns a function with some of the parameter values fixed, creating a new function
  • 33. Currying def modulus = { mod, num -> num % mod } assert modulus(2, 5) == 1 assert modulus(3, 5) == 2 def mod2 = modulus.curry(2) assert mod2(5) == 1 def mod3 = modulus.curry(3) assert mod3(5) == 2
  • 34. Currying def bill = { amount, currency -> "$amount $currency" } assert bill(1000, '$') == '1000 $' assert bill(1000, '€') == '1000 €' def billInDollars = bill.rcurry('$') assert billInDollars(1000) == '1000 $' def billInEuros = bill.rcurry('€') assert billInEuros(1000) == '1000 €'
  • 35. Currying def joinWithSeparator = { one, sep, two -> one + sep + two } def joinWithAmpersand = joinWithSeparator.ncurry(1, '&') assert joinWithAmpersand('a', 'b') == 'a&b'
  • 36. Classic Operations on Functional Data Types list filter map fold
  • 37. Classic Operations on Functional Data Types list findAll collect inject
  • 38. Classic Operations on Functional Data Types list any every sort min sum
  • 39. findAll() NO: def result = [] [1, 2, 3, 4].each { if (it > 2) { result << it } } assert result == [3, 4] YES: assert [1, 2, 3, 4].findAll{ it > 2 } == [3, 4]
  • 40. collect() NO: def result = [] [1, 2, 3].each { result << it * 2 } assert result == [2, 4, 6] YES: assert [1, 2, 3].collect{ it * 2 } == [2, 4, 6]
  • 41. inject() NO: def total = 0 [1, 2, 3].each { total += it } assert total == 6 YES: def total = [1, 2, 3].inject(0) { acc, n -> acc + n } assert total == 6
  • 42. find() NO: def result try { [1, 2, 3].each { if (it > 1) { result = it throw new Exception() // monstrous } } } catch(exception) { } assert result == 2 YES: assert [1, 2, 3].find{ it > 1 } == 2
  • 43. max() @TupleConstructor // import groovy.transform.* class Person { String name Integer age } def person1 = new Person('Arturo', 26) def person2 = new Person('Luis', 61) def person3 = new Person('Laura', 19) def family = [] << person1 << person2 << person3 assert family.max{ it.age }.age == 61 assert family.collect{ it.age }.max() == 61 assert family*.age.max() == 61
  • 44. Refactoring def exists = false family.each { person -> if (person.age > 60) { exists = true } } assert exists == true def exists = family.inject(false) { found, person -> if (person.age > 60) { found = true } return found } assert exists == true assert family.any{ it.age > 60 } == true
  • 45. Combinator Functions @TupleConstructor // import groovy.transform.* class Person { String name String lastname Integer age } def rafa = new Person('Rafael', 'Luque', 36) def marcin = new Person('Marcin', 'Gryszko', 34) def arturo = new Person('Arturo', 'Herrero', 26) def osokers = [] << rafa << marcin << arturo << rafa assert osokers.unique(false) .findAll{ it.age > 30} .sort{ it.lastname } == [marcin, rafa] assert osokers == [rafa, marcin, arturo, rafa]
  • 46. Combinator Functions // Procedural style def count = 0 for (i in (1 .. 1000)) { if (i % 2) { count += ("$i".size()) } } assert count == 1445 // Functional style def count = (1 .. 1000).findAll{ it % 2 } .collect{ "$it" } .inject(0) { sum, num -> sum + num.size() } assert count == 1445
  • 47. Lazy Evaluation Only does as much work as necessary Delays the evaluation of the expression until it's needed CPU efficient The value is not calculated or assigned until the value is requested Manage potentially infinite data structures Only a manageable subset of the data will actually be used
  • 48. Lazy Evaluation class Person { @Lazy String name = 'Arturo' } def person = new Person() assert !(person.dump().contains('Arturo')) assert person.name.size() == 6 assert person.dump().contains('Arturo')
  • 49. Lazy Evaluation class Get { String url @Lazy URL urlObj = { url?.toURL() }() @Lazy(soft=true) String text = urlObj?.text } def get = new Get(url: 'http://arturoherrero.com') assert get.url == 'http://arturoherrero.com' assert get.dump().contains('text=null') assert get.dump().contains('urlObj=null') assert get.urlObj.protocol == 'http' assert get.urlObj.host == 'arturoherrero.com' assert get.text.contains('Arturo Herrero')
  • 50. Lazy Evaluation groovy.sql.DataSet.DataSet groovy.util.XmlSlurper @Singleton(lazy=true) class Util { Integer count(text) { text.size() } } assert 6 == Util.instance.count('Arturo')
  • 51. Infinite structures class LazyList { ... } def naturalnumbers = integers(1) assert '1 2 3 4 5 6' == naturalnumbers.take(6).join(' ') def evennumbers = naturalnumbers.filter{ it % 2 == 0 } assert '2 4 6 8 10 12' == evennumbers.take(6).join(' ')
  • 52. Infinite structures @Grab('org.functionaljava:functionaljava:3.0') import fj.data.Stream Stream.metaClass.filter = { Closure c -> delegate.filter(c as fj.F) } Stream.metaClass.asList = { delegate.toCollection().asList() } def evens = Stream.range(1).filter{ it % 2 == 0 } assert [2, 4, 6, 8, 10, 12] == evens.take(6).asList()
  • 53. Recursive factorial(6) 6 * factorial(5) 6 * (5 * factorial(4)) 6 * (5 * (4 * factorial(3))) 6 * (5 * (4 * (3 * factorial(2)))) 6 * (5 * (4 * (3 * (2 * factorial(1))))) 6 * (5 * (4 * (3 * (2 * 1)))) 6 * (5 * (4 * (3 * 2))) 6 * (5 * (4 * 6)) 6 * (5 * 24) 6 * 120 720
  • 54. Recursive factorial(6) 6 * factorial(5) 6 * (5 * factorial(4)) 6 * (5 * (4 * factorial(3))) 6 * (5 * (4 * (3 * factorial(2)))) 6 * (5 * (4 * (3 * (2 * factorial(1))))) 6 * (5 * (4 * (3 * (2 * 1)))) 6 * (5 * (4 * (3 * 2))) 6 * (5 * (4 * 6)) 6 * (5 * 24) 6 * 120 720
  • 55. Tail-Recursive factorial(6, 1) factorial(5, 6) factorial(4, 30) factorial(3, 120) factorial(2, 360) factorial(1, 720)
  • 56. Tail-Recursive factorial(6, 1) factorial(5, 6) factorial(4, 30) factorial(3, 120) factorial(2, 360) factorial(1, 720)
  • 57. Tail Call Optimization 3 techniques: The compiler transform the recursion into a loop λ Let the JVM recognize the recursion and eliminate it λ Transform the recursion into iterative by hand λ
  • 58. Tail Call Optimization 3 techniques: The compiler transform the recursion into a loop λ Let the JVM recognize the recursion and eliminate it λ Transform the recursion into iterative by hand λ really?
  • 59. Tail Call Optimization def factorial factorial = { n -> n == 1 ? 1 : n * factorial(n - 1) } factorial(1000)
  • 60. Tail Call Optimization rflow kO ve def factorial S tac factorial = { n -> n == 1 ? 1 : n * factorial(n - 1) } factorial(1000)
  • 61. Tail Call Optimization def factorial factorial = { n, BigInteger acc = 1 -> n == 1 ? acc : factorial(n - 1, n * acc) } factorial(1000)
  • 62. Tail Call Optimization rflow kO ve def factorial S tac factorial = { n, BigInteger acc = 1 -> n == 1 ? acc : factorial(n - 1, n * acc) } factorial(1000)
  • 63. Tail Call Optimization def factorial factorial = { n, BigInteger acc = 1 -> n == 1 ? acc : factorial.trampoline(n - 1, n * acc) }.trampoline() factorial(1000)
  • 64. Trampolining def even, odd even = { x -> x == 0 ? true : odd.trampoline(x - 1) }.trampoline() odd = { x -> x == 0 ? false : even.trampoline(x - 1) }.trampoline() assert even(1000) == true
  • 65. Memoization def fibonacci fibonacci = { n -> n <= 1 ? n : fibonacci(n - 1) + fibonacci(n - 2) } fibonacci(35) // 9.935 seconds
  • 66. Memoization def fibonacci fibonacci = { n -> n <= 1 ? n : fibonacci(n - 1) + fibonacci(n - 2) }.memoize() fibonacci(35) // 0.002 seconds
  • 67. Memoization def plus = { a, b -> sleep 1000; a + b }.memoize() assert plus(1, 2) == 3 // after 1000ms assert plus(1, 2) == 3 // return immediately assert plus(2, 2) == 4 // after 1000ms assert plus(2, 2) == 4 // return immediately def plusAtLeast = { ... }.memoizeAtLeast(10) def plusAtMost = { ... }.memoizeAtMost(10) def plusBetween = { ... }.memoizeBetween(10, 20)
  • 68. “Functional” is more a way of thinking than a tool set Neal Ford