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  • Scala 函数式程序设计原理(6)--Collections

    6.1 Other Collections

    Operations on Vectors:

    Vectors are created analogously to lists:

    val nums = Vector(1, 2, 3, -88)

    val peoplr = Vector("Bob", "James", "Peter")

    They support the same operations as lists, with the exception of ::

    Instrad of x :: xs, there is

      x +: xs  Create a new vector with leading element x, followed by all elements of xs

      xs :+ x  Create a new vector with trailing element x, preceded by all elements of xs

    object test {
    	val xs = Array(1, 2, 3, 44)               //> xs  : Array[Int] = Array(1, 2, 3, 44)
    	xs map (x => x*2)                         //> res0: Array[Int] = Array(2, 4, 6, 88)
    	
    	val s = "Hello World"                     //> s  : String = Hello World
    	s filter (c => c.isUpper)                 //> res1: String = HW
    	s exists (c => c.isUpper)                 //> res2: Boolean = true
    	s forall (c => c.isUpper)                 //> res3: Boolean = false
    	
    	val pairs = List(1, 2, 3) zip s           //> pairs  : List[(Int, Char)] = List((1,H), (2,e), (3,l))
    	pairs.unzip                               //> res4: (List[Int], List[Char]) = (List(1, 2, 3),List(H, e, l))
    	
    	s flatMap (c => List('.', c))             //> res5: String = .H.e.l.l.o. .W.o.r.l.d
    	
    	xs.sum                                    //> res6: Int = 50
    	xs.max                                    //> res7: Int = 44
    	xs.min                                    //> res8: Int = 1
    }
    

     6.2 Combinatorial Search and For-Expressions

    For-Expression Example:

    Let persons be a list of elements of class Person,  with fields name and age.

      case class Person(name: String, age: Int)

    To obtain the names of persons over 20 years old, you can write:

    for (p <- persons if p.age > 20) yield p.name
    

     which is equivalent to:

    persons filter (p => p.age > 20) map (p => p.name)
    

    Syntax of For

    A for-expression is of the form

    for ( s ) yield e
    

    where s is a sequence of generators and filters, and e is an expression whose value is returned by an iteration.

    • A generator is of the form p <- e, where p is a pattern and e an expression whose value is a collection.
    • A filter is of the form if f where f is a boolean expression.
    • The sequence must start with a generator.
    • If there are several generators in the sequence, the last generators vary faster than the first.

    Instead of ( s ), braces { s } can also be used, and then the sequence of generators and filters can be written on multiple lines without require semicolons.

    6.3 Combinatorial Search Example

    Sets vs Sequences

    The principal differences between sets and sequences are:

    1. Sets are unordered; the elements of a set do not have a predefined order in which they appear in the set
    2. sets do not have duplicate elements
    3. The fundamental operation on sets is contains

    6.4 Maps

    ++:

    object polynominals {
    	class Poly(terms0: Map[Int, Double]) {
    		def this(bindings: (Int, Double)*) = this(bindings.toMap)
    		val terms = terms0 withDefaultValue 0.0
    		def + (other: Poly) = new Poly(terms ++ (other.terms map adjust))
    		
    		def adjust(term: (Int,Double)) : (Int, Double) = {
    			val (exp, coeff) = term
    			exp -> (coeff + terms(exp))
    		}
    		
    		override def toString =
    			(for ((exp , coeff) <- terms.toList.sorted.reverse) yield coeff + "x^" + exp) mkString " + "
    	}
    	
    	val p1 = new Poly(1 -> 2.0, 3 -> 4.0, 5 -> 6.2)
                                                      //> p1  : week6.polynominals.Poly = 6.2x^5 + 4.0x^3 + 2.0x^1
    	val p2 = new Poly(0 -> 3.0, 3 -> 7.0)     //> p2  : week6.polynominals.Poly = 7.0x^3 + 3.0x^0
    	p1 + p2                                   //> res0: week6.polynominals.Poly = 6.2x^5 + 11.0x^3 + 2.0x^1 + 3.0x^0
    	p1.terms(7)                               //> res1: Double = 0.0
    }
    

     foldLeft(more efficiency):

    object polynominals {
    	class Poly(terms0: Map[Int, Double]) {
    		def this(bindings: (Int, Double)*) = this(bindings.toMap)
    		val terms = terms0 withDefaultValue 0.0
    		def + (other: Poly) = new Poly((other.terms foldLeft terms)(addTerm))
    		
             def addTerm(terms: Map[Int, Double], term: (Int, Double)): Map[Int, Double] = {
               val (exp, coeff) = term
               terms + (exp -> (coeff+terms(exp)))
             }
    override def toString = (for ((exp , coeff) <- terms.toList.sorted.reverse) yield coeff + "x^" + exp) mkString " + " } val p1 = new Poly(1 -> 2.0, 3 -> 4.0, 5 -> 6.2) //> p1 : week6.polynominals.Poly = 6.2x^5 + 4.0x^3 + 2.0x^1 val p2 = new Poly(0 -> 3.0, 3 -> 7.0) //> p2 : week6.polynominals.Poly = 7.0x^3 + 3.0x^0 p1 + p2 //> res0: week6.polynominals.Poly = 6.2x^5 + 11.0x^3 + 2.0x^1 + 3.0x^0 p1.terms(7) //> res1: Double = 0.0 }
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  • 原文地址:https://www.cnblogs.com/PaulingZhou/p/6905355.html
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