我想创建两个映射的联合,其键类型相同,其值类型是元素的集合,但其类型不同。
考虑以下设想的例子:
case class Child(name: String)
val peopleToChildren: Map[String, Seq[Child]] =
Map("max" -> Seq(Child("a"), Child("b")),
"yaneeve" -> Seq(Child("y"), Child("d")))
case class Pet(name: String)
val peopleToPets: Map[String, Seq[Pet]] =
Map("max" -> Seq(Pet("fifi")),
"jill" -> Seq(Pet("bobo"), Pet("jack"), Pet("Roger rabbit")))
val peopleToChildrenAndDogs: Map[String, (Seq[Child], Seq[Pet])] = {
// people may have children
// people may have pets
// would like a map from people to a tuple with a potentially empty list of children and a
// potentially empty list of pets
// ???
}
这样做的方法是简洁,惯用,但仍然清晰可辨?
我发现在标准的scala集合库中没有任何单一的函数可以做到这一点。
建议的解决方案可以仅基于标准库,或提出外部解决方案。
我在这里发布,因为我无法轻易找到一个看似标准操作的在线解决方案。
答案 0 :(得分:4)
这似乎有效。
val peopleToChildrenAndDogs: Map[String, (Seq[Child], Seq[Pet])] = {
(peopleToChildren.keySet ++ peopleToPets.keySet).map { k =>
k -> (peopleToChildren.getOrElse(k, Seq())
,peopleToPets.getOrElse(k, Seq()))
}.toMap
}
获取所有密钥。对于每个密钥,在每个支线映射上执行getOrElse()
。
答案 1 :(得分:4)
只是为了好奇,这里是如何使用Scalaz完成的:
import scalaz._, Scalaz._
case class Child(name: String)
val peopleToChildren = Map(
"max" -> List(Child("a"), Child("b")),
"yaneeve" -> List(Child("y"), Child("d"))
)
case class Pet(name: String)
val peopleToPets = Map(
"max" -> List(Pet("fifi")),
"jill" -> List(Pet("bobo"), Pet("jack"), Pet("Roger rabbit"))
)
val peopleToChildrenAndPets: Map[String, (List[Child], List[Pet])] =
peopleToChildren.strengthR(nil[Pet]) |+| peopleToPets.strengthL(nil[Child])
说明:
nil[Pet]
只是List.empty[Pet]
strengthR
对于给定的Functor
元组包含的值,因此其参数位于右侧。这相当于peopleToChildren.mapValues(v => (v, nil[Pet]))
strengthL
是相同的,但元素将添加到左侧|+|
是给定Semigroup
的追加运算符。这里的一个是递归派生的:
Map[K, V]
,如果两个地图中都存在给定密钥,它会使用|+|
来合并V
类型的值。如果该值仅存在于其中一个中,则将保留原样。在这里,V = (List[Child], List[Pet])
(A, B)
,它再次使用|+|
来合并A
和B
。在此,A = List[Child]
和B = List[Pet]
List
s - 对于泛型Seq
,此操作未定义结果:
peopleToChildrenAndPets: Map[String, (List[Child], List[Pet])] = Map(
"max" -> (List(Child("a"), Child("b")), List(Pet("fifi"))),
"jill" -> (
List(),
List(Pet("bobo"), Pet("jack"), Pet("Roger rabbit"))
),
"yaneeve" -> (List(Child("y"), Child("d")), List())
)
答案 2 :(得分:0)
要回答我自己的问题,以下是我解决它的方式,但它似乎过于漫长而复杂:
Welcome to the Ammonite Repl 1.0.2
(Scala 2.11.11 Java 1.8.0_91)
If you like Ammonite, please support our development at www.patreon.com/lihaoyi
@ case class Child(name: String)
defined class Child
@ val peopleToChildren: Map[String, Seq[Child]] =
Map("max" -> Seq(Child("a"), Child("b")),
"yaneeve" -> Seq(Child("y"), Child("d")))
peopleToChildren: Map[String, Seq[Child]] = Map("max" -> List(Child("a"), Child("b")), "yaneeve" -> List(Child("y"), Child("d")))
@
@ case class Pet(name: String)
defined class Pet
@ val peopleToPets: Map[String, Seq[Pet]] =
Map("max" -> Seq(Pet("fifi")),
"jill" -> Seq(Pet("bobo"), Pet("jack"), Pet("Roger rabbit")))
peopleToPets: Map[String, Seq[Pet]] = Map("max" -> List(Pet("fifi")), "jill" -> List(Pet("bobo"), Pet("jack"), Pet("Roger rabbit")))
@
@ val peopleToChildrenAndDogs: Map[String, (Seq[Child], Seq[Pet])] = {
// people may have children
// people may have pets
// would like a map from people to a tuple with a potentially empty list of children and a
// potentially empty list of pets
val paddedPeopleToChildren = peopleToChildren.map{ case (person, children) => person -> (children, List.empty[Pet])}
val paddedPeopleToPets = peopleToPets.map{ case (person, pets) => person ->(List.empty[Child], pets)}
val notGoodEnough = paddedPeopleToPets ++ paddedPeopleToChildren // this is here to show that it does not work since it overwrites the value of a key - Map(max -> (List(Child(a), Child(b)),List()), jill -> (List(),List(Pet(bobo), Pet(jack), Pet(Roger rabbit))), yaneeve -> (List(Child(y), Child(d)),List()))
val allSeq = paddedPeopleToPets.toSeq ++ paddedPeopleToChildren.toSeq
val grouped = allSeq.groupBy(_._1).mapValues(_.map { case (_, tup) => tup })
val solution = grouped.mapValues(_.unzip).mapValues {case (wrappedChildren, wrappedPets) => (wrappedChildren.flatten, wrappedPets.flatten)}
solution
}
peopleToChildrenAndDogs: Map[String, (Seq[Child], Seq[Pet])] = Map(
"yaneeve" -> (ArrayBuffer(Child("y"), Child("d")), ArrayBuffer()),
"max" -> (ArrayBuffer(Child("a"), Child("b")), ArrayBuffer(Pet("fifi"))),
"jill" -> (ArrayBuffer(), ArrayBuffer(Pet("bobo"), Pet("jack"), Pet("Roger rabbit")))
)