Scalaz是由一堆的typeclass组成。每一个typeclass具备自己特殊的功能。用户可以通过随意多态（ad-hoc polymorphism）把这些功能施用在自己定义的类型上。scala这个编程语言借鉴了纯函数编程语言Haskell的许多概念。typeclass这个名字就是从Haskell里引用过来的。只不过在Haskell里用的名称是type class两个分开的字。因为scala是个OOP和FP多范畴语言，为了避免与OOP里的type和class发生混扰，所以就用了typeclass一个字。实际上scalaz就是Haskell基本库里大量typeclass的scala实现。
在这篇讨论里我们可以通过介绍scalaz的一些比较简单的typeclass来了解scalaz typeclass的实现、应用方法以及scalaz函数库的内部结构。
我们首先看看Equal：这是个比较典型的typeclass，适合用来介绍scalaz typeclass的一些实现方式、应用模式以及函数库结构。
我们知道，scalaz typeclass的几个重要元素就是：
1、特质 trait
2、隐式实例 implicit instances
3、方法注入 method injection
Equal Trait 在 core/…/scalaz/Equal.scala里，比较简单：
1 trait Equal[F] { self => 2 //// 3 def equal(a1: F, a2: F): Boolean 4 5 def contramap[G](f: G => F): Equal[G] = new Equal[G] { 6 def equal(a1: G, a2: G) = self.equal(f(a1), f(a2)) 7 } 8 9 /** @return true, if `equal(f1, f2)` is known to be equivalent to `f1 == f2` */ 10 def equalIsNatural: Boolean = false 11 ...
只要实现equal(a1,a2)这个抽象函数就可以了。Equal typeclass主要的功能就是对两个相同类型的元素进行等比。那和标准的 == 符号什么区别呢？Equal typeclass提供的是类型安全（type safe）的等比，在编译时由compiler发现错误，如下面的例子：
1 cala> 2 == 2.0
2 res3: Boolean = true
3
4 scala> 2 === 2.0
5 <console>:14: error: type mismatch;
6 found : Double(2.0)
7 required: Int
8 2 === 2.0
9 ^
以上的 === 是Equal typeclass的符号方法（symbolic method），就是这个equal(a1,a2)，是通过方法注入加入到Equal typeclass里的。我们可以看到equal对两个比对对象的类型要求是非常严格的，否则无法通过编译（除非在隐式作用域implicit scode内定义Double到Int的隐式转换implicit conversion）。
但是，在Equal Trait里的equal是个抽象函数（abstract function），没有实现。那么肯定在隐式作用域（implicit scope）里存在着隐式Equal实例。比如以上的例子我们应该试着找找Equal的Int实例。
我在scalaz.std/AnyValue.scala里发现了这段代码：
1 implicit val intInstance: Monoid[Int] with Enum[Int] with Show[Int] = new Monoid[Int] with Enum[Int] with Show[Int] {
2 override def shows(f: Int) = f.toString
3
4 def append(f1: Int, f2: => Int) = f1 + f2
5
6 def zero: Int = 0
7
8 def order(x: Int, y: Int) = if (x < y) Ordering.LT else if (x == y) Ordering.EQ else Ordering.GT
9
10 def succ(b: Int) = b + 1
11 def pred(b: Int) = b - 1
12 override def succn(a: Int, b: Int) = b + a
13 override def predn(a: Int, b: Int) = b - a
14 override def min = Some(Int.MinValue)
15 override def max = Some(Int.MaxValue)
16
17 override def equalIsNatural: Boolean = true
18 }
这是个Int实例。但好像没有继承Equal trait，因而也没有发现equal函数的实现。但是它继承了Enum。那么在scalaz/Enum.scala中的Enum trait是这样的：
1 trait Enum[F] extends Order[F] { self =>
Enum又继承了Order，再到scalaz/order.scala看看Order trait:
1 trait Order[F] extends Equal[F] { self =>
2 ////
3 def apply(x: F, y: F): Ordering = order(x, y)
4
5 def order(x: F, y: F): Ordering
6
7 def equal(x: F, y: F): Boolean = order(x, y) == Ordering.EQ
原来Order就是Equal，所以Enum就是Equal。equal(a1,a2)是在Order trait里用order(a1,a2)实现的，而order(a1,a2)是在Int隐式实例intInstance里实现了。这样就解决了隐式实例的问题，所以我们可以使用 2.===(2.0) >>> 2 === 2.0这样的语法。
我们再来看看方法注入是怎么实现的吧。Scalaz方法注入标准写法：放在scalaz/syntax/EqualSyntax.scala里：
1 /** Wraps a value `self` and provides methods related to `Equal` */
2 final class EqualOps[F] private[syntax](val self: F)(implicit val F: Equal[F]) extends Ops[F] {
3 ////
4
5 final def ===(other: F): Boolean = F.equal(self, other)
6 final def /==(other: F): Boolean = !F.equal(self, other)
7 final def =/=(other: F): Boolean = /==(other)
8 final def ≟(other: F): Boolean = F.equal(self, other)
9 final def ≠(other: F): Boolean = !F.equal(self, other)
10
11 /** Raises an exception unless self === other. */
12 final def assert_===[B](other: B)(implicit S: Show[F], ev: B <:< F) =
13 if (/==(other)) sys.error(S.shows(self) + " ≠ " + S.shows(ev(other)))
14
15 ////
16 }
scalaz一般把字符方法（symbolic method）放在scalaz/syntax目录下。也就是 ===, =/=这两个操作符号，对应的是 ==, !=这两个标准操作符。注意这个符号方法容器类EqualOps需要一个隐式参数（implicit parameter）F: Equal[F]，因为具体的equal(a1,a2)是在Equal[F]的实例里实现的。具体的方法注入黏贴还是通过隐式解析实现的：
1 trait ToEqualOps {
2 implicit def ToEqualOps[F](v: F)(implicit F0: Equal[F]) =
3 new EqualOps[F](v)
4
5 ////
6
7 ////
8 }
但是这个隐式转换ToEqualOps为什么是在trait里？隐式作用域必须是在某个object里的。我们再看看scalaz/syntax/syntax.scala里的这一段代码；
1 trait ToTypeClassOps
2 extends ToSemigroupOps with ToMonoidOps with ToEqualOps with ToShowOps
3 with ToOrderOps with ToEnumOps with ToPlusEmptyOps
4 with ToFunctorOps with ToContravariantOps with ToApplyOps
5 with ToApplicativeOps with ToBindOps with ToMonadOps with ToComonadOps
6 with ToBifoldableOps with ToCozipOps
7 with ToPlusOps with ToApplicativePlusOps with ToMonadPlusOps with ToTraverseOps with ToBifunctorOps
8 with ToBitraverseOps with ToComposeOps with ToCategoryOps
9 with ToArrowOps with ToFoldableOps with ToChoiceOps with ToSplitOps with ToZipOps with ToUnzipOps with ToMonadTellOps with ToMonadListenOps with ToMonadErrorOps
10 with ToFoldable1Ops with ToTraverse1Ops with ToOptionalOps with ToCatchableOps with ToAlignOps
trait ToTypeClassOps继承了ToEqualOps。然后在scalaz/Scalaz.scala里：
1 object Scalaz
2 extends StateFunctions // Functions related to the state monad
3 with syntax.ToTypeClassOps // syntax associated with type classes
4 with syntax.ToDataOps // syntax associated with Scalaz data structures
5 with std.AllInstances // Type class instances for the standard library types
6 with std.AllFunctions // Functions related to standard library types
7 with syntax.std.ToAllStdOps // syntax associated with standard library types
8 with IdInstances // Identity type and instances
object Scalaz继承了ToTypeClassOps。这样ToEqualOps的隐式作用域就在object Scalaz里了。
为了方便使用，Equal typeclass提供了构建函数：
1 def equal[A](f: (A, A) => Boolean): Equal[A] = new Equal[A] {
2 def equal(a1: A, a2: A) = f(a1, a2)
3 }
我们可以这样构建Equal实例：
1 scala> case class Person(name: String, age: Int)
2 defined class Person
3 scala> implicit val personEqual: Equal[Person] = Equal.equal{(a,b) => a.name == b.name && a.age == b.age}
4 personEqual: scalaz.Equal[Person] = scalaz.Equal$$anon$7@7e5716e
5
6 scala> Person("Jone",23) === Person("Jone",23)
7 res0: Boolean = true
8
9 scala> Person("Jone",23) === Person("Jone",22)
10 res1: Boolean = false
11
12 scala> Person("Jone",23) === Person("John",23)
13 res2: Boolean = false
当然我们也可以通过实现抽象函数equal(a1,a2)函数的方式来构建Equal实例：
1 scala> implicit val personEqual = new Equal[Person] {
2 | def equal(a1: Person, a2: Person): Boolean = a1.name == a2.name && a1.age == a2.age
3 | }
4 personEqual: scalaz.Equal[Person] = $anon$1@247cc8f
5
6 scala> Person("John",32) === Person("Joe",32)
7 res0: Boolean = false
8
9 scala> Person("John",32) === Person("John",32)
10 res1: Boolean = true
在Equal trait 里有个有趣的函数：
1 def contramap[G](f: G => F): Equal[G] = new Equal[G] {
2 def equal(a1: G, a2: G) = self.equal(f(a1), f(a2))
3 }
从函数名称来看它是个逆变(contra)。把函数款式概括化如下：
def contramap[G](f: G => F): Equal[F] => Equal[G]
它的意思是说：如果提供G => F转换关系，就可以把Equal[F]转成Equal[G]。与正常的转换函数map比较：
def map[G](f: F => G): Equal[F] => Equal[G]
函数f是反方向的，因而称之逆变contramap。Equal的伴生对象提供了另外一个构建函数：
1 def equalBy[A, B: Equal](f: A => B): Equal[A] = Equal[B] contramap f
equalBy的意思是：假如已经有了Equal[B]实例，如果能提供A => B得转换，就可以通过equalBy构建Equal[A]实例。
举例：case class MoneyCents(cents: Int)
我们有现成的Equal[Int]实例，只要能提供MoneyCents与Int之间的转换关系，我们就可以等比MoneyCents了：
1 scala> case class MoneyCents(cents: Int)
2 defined class MoneyCents
3 scala> def moneyToInt(m: MoneyCents): Int = m.cents * 100
4 moneyToInt: (m: MoneyCents)Int
5
6 scala> implicit val moneyEqual: Equal[MoneyCents] = Equal.equalBy(moneyToInt)
7 moneyEqual: scalaz.Equal[MoneyCents] = scalaz.Order$$anon$7@138ad7f5
8
9 scala> MoneyCents(120) === MoneyCents(120)
10 res2: Boolean = true
11
12 scala> MoneyCents(122) === MoneyCents(120)
13 res3: Boolean = false
这个逆变在以上例子的主要用途是：我们知道如何等比Int，我们又可以提供MoneyCents和Int之间的转换关系，那么我们就可以构建Equal[MoneyCents]实例。
介绍了Equal typeclass的实现和应用原理后，解释其它的typeclass就简单许多了。
我们再看看Order typeclass：
Scalaz的Order tyeclass提供了一组操作符号：在scalaz/syntax/OrderSyntax.scala里
1 /** Wraps a value `self` and provides methods related to `Order` */
2 final class OrderOps[F] private[syntax](val self: F)(implicit val F: Order[F]) extends Ops[F] {
3 ////
4 final def <(other: F): Boolean = F.lessThan(self, other)
5 final def <=(other: F): Boolean = F.lessThanOrEqual(self, other)
6 final def >(other: F): Boolean = F.greaterThan(self, other)
7 final def >=(other: F): Boolean = F.greaterThanOrEqual(self, other)
8 final def max(other: F): F = F.max(self, other)
9 final def min(other: F): F = F.min(self, other)
10 final def cmp(other: F): Ordering = F.order(self, other)
11 final def ?|?(other: F): Ordering = F.order(self, other)
12 final def lte(other: F): Boolean = F.lessThanOrEqual(self, other)
13 final def gte(other: F): Boolean = F.greaterThanOrEqual(self, other)
14 final def lt(other: F): Boolean = F.lessThan(self, other)
15 final def gt(other: F): Boolean = F.greaterThan(self, other)
16 ////
17 }
其中cmp(?|?)方法使用了Ordering类型。Ordering是另外一个typeclass: scalaz/Ordering.scala
1 object Ordering extends OrderingInstances with OrderingFunctions {
2 case object LT extends Ordering(-1, "LT") { def complement = GT }
3 case object EQ extends Ordering(0, "EQ") { def complement = EQ }
4 case object GT extends Ordering(1, "GT") { def complement = LT }
5 }
主要定义了LT,EQ,GT三个状态。
我们应该尽量使用lt,lte,gt,gte来确保类型安全（让compiler来发现错误）：
1 scala> 1 < 1.0
2 res4: Boolean = false
3
4 scala> 1 lt 1.0
5 <console>:21: error: type mismatch;
6 found : Double(1.0)
7 required: Int
8 1 lt 1.0
9 ^
10
11 scala> 1 ?|? 1.0
12 <console>:21: error: type mismatch;
13 found : Double(1.0)
14 required: Int
15 1 ?|? 1.0
16 ^
17
18 scala> 1 ?|? 2
19 res7: scalaz.Ordering = LT
20
21 scala> 1 lt 2
22 res8: Boolean = true
与Equal typeclass 同样，如果我们需要在自定义的类型T上使用Order typeclass的话，有几种方法可以构建Order[T]:
1、实现Order trait抽象函数order(a1,a2)，在scalaz/std/AnyValue.scala中的Int实例intInstance中是这样实现order(a1,a2)函数的：
1 def order(x: Int, y: Int) = if (x < y) Ordering.LT else if (x == y) Ordering.EQ else Ordering.GT
我们可以在Person类型上使用Order:
1 scala> case class Person(name: String, age: Int)
2 defined class Person
3
4 scala> implicit val personAgeOrder = new Order[Person] {
5 | def order(a1: Person, a2: Person): Ordering =
6 | if (a1.age < a2.age) Ordering.LT else if (a1.age > a2.age) Ordering.GT else Ordering.EQ
7 | }
8 personAgeOrder: scalaz.Order[Person] = $anon$1@736d65e9
9 scala> Person("John",23) ?|? Person("Joe",24)
10 res11: scalaz.Ordering = LT
11
12 scala> Person("John",23) lt Person("Joe",24)
13 res12: Boolean = true
14
15 scala> Person("John",23) gt Person("Joe",24)
16 res13: Boolean = false
2、用object Order里的构建函数order[A](f: (A,A) => Ordering): Order[A]
1 scala> case class Meat(cat: String, weight: Int)
2 defined class Meat
3 scala> implicit val meatWeightOrder: Order[Meat] = Order.order(_.weight ?|? _.weight)
4 meatWeightOrder: scalaz.Order[Meat] = scalaz.Order$$anon$11@7401c09f
5
6 scala> Meat("Pork",13) lt Meat("Pork",14)
7 res14: Boolean = true
8
9 scala> Meat("Beef",13) gt Meat("Pork",14)
10 res15: Boolean = false
3、逆变构建函数orderBy:
1 scala> case class Money(amount: Int)
2 defined class Money
3
4 scala> val moneyToInt: Money => Int = money => money.amount
5 moneyToInt: Money => Int = <function1>
6
7 scala> implicit val moneyOrder: Order[Money] = Order.orderBy(moneyToInt)
8 moneyOrder: scalaz.Order[Money] = scalaz.Order$$anon$7@3e3975d0
9
10 scala> Money(20) lt Money(21)
11 res16: Boolean = true
12
13 scala> Money(20) ?|? Money(12)
14 res17: scalaz.Ordering = GT
在使用逆变构建函数时我们不需要再考虑如何实现对两个对象值的对比来获取这个Ordering返回值，我们只知道Order[Int]实现了两个Int的对比就行了。
Show 是一个简单的typeclass。我们用Shows(T)来实现对类型T的字符描述:
在scalaz/Syntax/ShowSyntax.scala里的注入方法：
1 final class ShowOps[F] private[syntax](val self: F)(implicit val F: Show[F]) extends Ops[F] {
2 ////
3 final def show: Cord = F.show(self)
4 final def shows: String = F.shows(self)
5 final def print: Unit = Console.print(shows)
6 final def println: Unit = Console.println(shows)
7 ////
8 }
我们用Show来描述Person类型：
1 scala> case class Person(name: String, age: Int)
2 defined class Person
3 scala> implicit val personShow: Show[Person] = Show.show {p => p.name + "," + p.age + " years old" }
4 personShow: scalaz.Show[Person] = scalaz.Show$$anon$4@1d80fcd3
5 res19: String = Harry,24 years old
6
7 scala> Person("Harry",24).shows
8 res20: String = Harry,24 years old
9
10 scala> Person("Harry",24).println
11 Harry,24 years old
Enum typeclass 提供了下面这些方法：
1 final class EnumOps[F] private[syntax](val self: F)(implicit val F: Enum[F]) extends Ops[F] {
2 ////
3 final def succ: F =
4 F succ self
5
6 final def -+-(n: Int): F =
7 F.succn(n, self)
8
9 final def succx: Option[F] =
10 F.succx.apply(self)
11
12 final def pred: F =
13 F pred self
14
15 final def ---(n: Int): F =
16 F.predn(n, self)
17
18 final def predx: Option[F] =
19 F.predx.apply(self)
20
21 final def from: EphemeralStream[F] =
22 F.from(self)
23
24 final def fromStep(step: Int): EphemeralStream[F] =
25 F.fromStep(step, self)
26
27 final def |=>(to: F): EphemeralStream[F] =
28 F.fromTo(self, to)
29
30 final def |->(to: F): List[F] =
31 F.fromToL(self, to)
32
33 final def |==>(step: Int, to: F): EphemeralStream[F] =
34 F.fromStepTo(step, self, to)
35
36 final def |-->(step: Int, to: F): List[F] =
37 F.fromStepToL(step, self, to)
38
39 ////
40 }
下面是使用这些操作符号的例子：
1 scala> 'a' to 'e'
2 res22: scala.collection.immutable.NumericRange.Inclusive[Char] = NumericRange(a, b, c, d, e)
3
4 scala> 'a' |-> 'e'
5 res23: List[Char] = List(a, b, c, d, e)
6
7 scala> 'a' |=> 'e'
8 res24: scalaz.EphemeralStream[Char] = scalaz.EphemeralStreamFunctions$$anon$4@2f8a4dfd
9
10 scala> 'a'.succ
11 res25: Char = b
12 scala> 'a' -+- 2
13 res26: Char = c
14
15 scala> 'd' --- 2
16 res27: Char = b
Enum实例需要实现抽象函数succ,pred。下面是char裂隙Enum实例Enum[Char]的实现：在scalaz/std/AnyVal.scala里的char object
1 def succ(b: Char) = (b + 1).toChar
2 def pred(b: Char) = (b - 1).toChar
3 override def succn(a: Int, b: Char) = (b + a).toChar
4 override def predn(a: Int, b: Char) = (b - a).toChar
再仔细看看Enum trait如下；
trait Enum[F] extends Order[F] { self =>
////
def succ(a: F): F
def pred(a: F): F
Enum实例必须实现抽象函数succ,pred。除此之外由于Enum继承了Order，所以还必须实现Order trait的抽象函数order(a1,a2)。
原创文章，作者：ItWorker，如若转载，请注明出处：https://blog.ytso.com/industrynews/12942.html