trait FunctorFilter[F[_]] extends Serializable
FunctorFilter[F]
allows you to map
and filter out elements simultaneously.
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- abstract def functor: Functor[F]
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abstract
def
mapFilter[A, B](fa: F[A])(f: (A) ⇒ Option[B]): F[B]
A combined
map
andfilter
.A combined
map
andfilter
. Filtering is handled viaOption
instead ofBoolean
such that the output typeB
can be different than the input typeA
.Example:
scala> import cats.implicits._ scala> val m: Map[Int, String] = Map(1 -> "one", 3 -> "three") scala> val l: List[Int] = List(1, 2, 3, 4) scala> def asString(i: Int): Option[String] = m.get(i) scala> l.mapFilter(i => m.get(i)) res0: List[String] = List(one, three)
Concrete Value Members
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def
!=(arg0: Any): Boolean
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==(arg0: Any): Boolean
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def
asInstanceOf[T0]: T0
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clone(): AnyRef
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def
collect[A, B](fa: F[A])(f: PartialFunction[A, B]): F[B]
Similar to mapFilter but uses a partial function instead of a function that returns an
Option
.Similar to mapFilter but uses a partial function instead of a function that returns an
Option
.Example:
scala> import cats.implicits._ scala> val l: List[Int] = List(1, 2, 3, 4) scala> FunctorFilter[List].collect(l){ | case 1 => "one" | case 3 => "three" | } res0: List[String] = List(one, three)
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
filter[A](fa: F[A])(f: (A) ⇒ Boolean): F[A]
Apply a filter to a structure such that the output structure contains all
A
elements in the input structure that satisfy the predicatef
but none that don't. -
def
finalize(): Unit
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def
flattenOption[A](fa: F[Option[A]]): F[A]
"Flatten" out a structure by collapsing
Option
s."Flatten" out a structure by collapsing
Option
s. Equivalent to usingmapFilter
withidentity
.Example:
scala> import cats.implicits._ scala> val l: List[Option[Int]] = List(Some(1), None, Some(3), None) scala> l.flattenOption res0: List[Int] = List(1, 3)
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ne(arg0: AnyRef): Boolean
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notifyAll(): Unit
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synchronized[T0](arg0: ⇒ T0): T0
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toString(): String
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