Alternative
Related Docs:
object Alternative
| package cats
Given a value and a function in the Apply context, applies the function to the value.
Given a value and a function in the Apply context, applies the function to the value.
Example:
scala> import cats.implicits._ scala> val someF: Option[Int => Long] = Some(_.toLong + 1L) scala> val noneF: Option[Int => Long] = None scala> val someInt: Option[Int] = Some(3) scala> val noneInt: Option[Int] = None scala> Apply[Option].ap(someF)(someInt) res0: Option[Long] = Some(4) scala> Apply[Option].ap(noneF)(someInt) res1: Option[Long] = None scala> Apply[Option].ap(someF)(noneInt) res2: Option[Long] = None scala> Apply[Option].ap(noneF)(noneInt) res3: Option[Long] = None
Combine two F[A] values.
Combine two F[A] values.
Example:
scala> import cats.implicits._ scala> SemigroupK[List].combineK(List(1, 2), List(3, 4)) res0: List[Int] = List(1, 2, 3, 4)
Given a type A, create an "empty" F[A] value.
Given a type A, create an "empty" F[A] value.
Example:
scala> import cats.implicits._ scala> MonoidK[List].empty[Long] res0: List[Long] = List()
pure lifts any value into the Applicative Functor.
pure lifts any value into the Applicative Functor.
Example:
scala> import cats.implicits._ scala> Applicative[Option].pure(10) res0: Option[Int] = Some(10)
Alias for productR.
Alias for productL.
Alias for ap.
Given a type A, create a concrete Monoid[F[A]].
Given a type A, create a concrete Monoid[F[A]].
ap2 is a binary version of ap, defined in terms of ap.
ap2 is a binary version of ap, defined in terms of ap.
Replaces the A value in F[A] with the supplied value.
Replaces the A value in F[A] with the supplied value.
Example:
scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForList scala> Functor[List].as(List(1,2,3), "hello") res0: List[String] = List(hello, hello, hello)
Compose an Applicative[F] and an Applicative[G] into an
Applicative[λ[α => F[G[α]]]].
Compose an Applicative[F] and an Applicative[G] into an
Applicative[λ[α => F[G[α]]]].
Example:
scala> import cats.implicits._ scala> val alo = Applicative[List].compose[Option] scala> alo.pure(3) res0: List[Option[Int]] = List(Some(3)) scala> alo.product(List(None, Some(true), Some(false)), List(Some(2), None)) res1: List[Option[(Boolean, Int)]] = List(None, None, Some((true,2)), None, Some((false,2)), None)
"Compose" with a G[_] type to form a SemigroupK for λ[α => F[G[α]]].
"Compose" with a G[_] type to form a SemigroupK for λ[α => F[G[α]]].
Note that this universally works for any G, because the "inner" structure
isn't considered when combining two instances.
Example:
scala> import cats.implicits._ scala> type ListOption[A] = List[Option[A]] scala> val s: SemigroupK[ListOption] = SemigroupK[List].compose[Option] scala> s.combineK(List(Some(1), None, Some(2)), List(Some(3), None)) res0: List[Option[Int]] = List(Some(1), None, Some(2), Some(3), None)
Compose an Apply[F] and an Apply[G] into an Apply[λ[α => F[G[α]]]].
Compose an Apply[F] and an Apply[G] into an Apply[λ[α => F[G[α]]]].
Example:
scala> import cats.implicits._ scala> val alo = Apply[List].compose[Option] scala> alo.product(List(None, Some(true), Some(false)), List(Some(2), None)) res1: List[Option[(Boolean, Int)]] = List(None, None, Some((true,2)), None, Some((false,2)), None)
Compose an Applicative[F] and a ContravariantMonoidal[G] into a
ContravariantMonoidal[λ[α => F[G[α]]]].
Compose an Applicative[F] and a ContravariantMonoidal[G] into a
ContravariantMonoidal[λ[α => F[G[α]]]].
Example:
scala> import cats.kernel.Comparison scala> import cats.implicits._ // compares strings by alphabetical order scala> val alpha: Order[String] = Order[String] // compares strings by their length scala> val strLength: Order[String] = Order.by[String, Int](_.length) scala> val stringOrders: List[Order[String]] = List(alpha, strLength) // first comparison is with alpha order, second is with string length scala> stringOrders.map(o => o.comparison("abc", "de")) res0: List[Comparison] = List(LessThan, GreaterThan) scala> val le = Applicative[List].composeContravariantMonoidal[Order] // create Int orders that convert ints to strings and then use the string orders scala> val intOrders: List[Order[Int]] = le.contramap(stringOrders)(_.toString) // first comparison is with alpha order, second is with string length scala> intOrders.map(o => o.comparison(12, 3)) res1: List[Comparison] = List(LessThan, GreaterThan) // create the `product` of the string order list and the int order list // `p` contains a list of the following orders: // 1. (alpha comparison on strings followed by alpha comparison on ints) // 2. (alpha comparison on strings followed by length comparison on ints) // 3. (length comparison on strings followed by alpha comparison on ints) // 4. (length comparison on strings followed by length comparison on ints) scala> val p: List[Order[(String, Int)]] = le.product(stringOrders, intOrders) scala> p.map(o => o.comparison(("abc", 12), ("def", 3))) res2: List[Comparison] = List(LessThan, LessThan, LessThan, GreaterThan)
Alias for map, since map can't be injected as syntax if
the implementing type already had a built-in .map method.
Alias for map, since map can't be injected as syntax if
the implementing type already had a built-in .map method.
Example:
scala> import cats.implicits._ scala> val m: Map[Int, String] = Map(1 -> "hi", 2 -> "there", 3 -> "you") scala> m.fmap(_ ++ "!") res0: Map[Int,String] = Map(1 -> hi!, 2 -> there!, 3 -> you!)
Tuple the values in fa with the result of applying a function with the value
Tuple the values in fa with the result of applying a function with the value
Example:
scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForOption scala> Functor[Option].fproduct(Option(42))(_.toString) res0: Option[(Int, String)] = Some((42,42))
Return ().pure[F] if condition is true, empty otherwise
Return ().pure[F] if condition is true, empty otherwise
Example:
scala> import cats.implicits._ scala> def even(i: Int): Option[String] = Alternative[Option].guard(i % 2 == 0).as("even") scala> even(2) res0: Option[String] = Some(even) scala> even(3) res1: Option[String] = None
Transform an F[A] into an F[B] by providing a transformation from A
to B and one from B to A.
Transform an F[A] into an F[B] by providing a transformation from A
to B and one from B to A.
Example:
scala> import cats.implicits._ scala> import scala.concurrent.duration._ scala> val durSemigroup: Semigroup[FiniteDuration] = | Invariant[Semigroup].imap(Semigroup[Long])(Duration.fromNanos)(_.toNanos) scala> durSemigroup.combine(2.seconds, 3.seconds) res1: FiniteDuration = 5 seconds
Lift a function f to operate on Functors
Lift a function f to operate on Functors
Example:
scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForOption scala> val o = Option(42) scala> Functor[Option].lift((x: Int) => x + 10)(o) res0: Option[Int] = Some(52)
Applies the pure (binary) function f to the effectful values fa and fb.
Applies the pure (binary) function f to the effectful values fa and fb.
map2 can be seen as a binary version of cats.Functor#map.
Example:
scala> import cats.implicits._ scala> val someInt: Option[Int] = Some(3) scala> val noneInt: Option[Int] = None scala> val someLong: Option[Long] = Some(4L) scala> val noneLong: Option[Long] = None scala> Apply[Option].map2(someInt, someLong)((i, l) => i.toString + l.toString) res0: Option[String] = Some(34) scala> Apply[Option].map2(someInt, noneLong)((i, l) => i.toString + l.toString) res0: Option[String] = None scala> Apply[Option].map2(noneInt, noneLong)((i, l) => i.toString + l.toString) res0: Option[String] = None scala> Apply[Option].map2(noneInt, someLong)((i, l) => i.toString + l.toString) res0: Option[String] = None
Similar to map2 but uses Eval to allow for laziness in the F[B]
argument.
Similar to map2 but uses Eval to allow for laziness in the F[B]
argument. This can allow for "short-circuiting" of computations.
NOTE: the default implementation of map2Eval does not short-circuit
computations. For data structures that can benefit from laziness, Apply
instances should override this method.
In the following example, x.map2(bomb)(_ + _) would result in an error,
but map2Eval "short-circuits" the computation. x is None and thus the
result of bomb doesn't even need to be evaluated in order to determine
that the result of map2Eval should be None.
scala> import cats.{Eval, Later} scala> import cats.implicits._ scala> val bomb: Eval[Option[Int]] = Later(sys.error("boom")) scala> val x: Option[Int] = None scala> x.map2Eval(bomb)(_ + _).value res0: Option[Int] = None
point lifts any value into a Monoidal Functor.
point lifts any value into a Monoidal Functor.
Example:
scala> import cats.implicits._ scala> InvariantMonoidal[Option].point(10) res0: Option[Int] = Some(10)
Combine an F[A] and an F[B] into an F[(A, B)] that maintains the effects of both fa and fb.
Combine an F[A] and an F[B] into an F[(A, B)] that maintains the effects of both fa and fb.
Example:
scala> import cats.implicits._ scala> val noneInt: Option[Int] = None scala> val some3: Option[Int] = Some(3) scala> val noneString: Option[String] = None scala> val someFoo: Option[String] = Some("foo") scala> Semigroupal[Option].product(noneInt, noneString) res0: Option[(Int, String)] = None scala> Semigroupal[Option].product(noneInt, someFoo) res1: Option[(Int, String)] = None scala> Semigroupal[Option].product(some3, noneString) res2: Option[(Int, String)] = None scala> Semigroupal[Option].product(some3, someFoo) res3: Option[(Int, String)] = Some((3,foo))
Compose two actions, discarding any value produced by the second.
Compose two actions, discarding any value produced by the second.
productR to discard the value of the first instead. Example:
scala> import cats.implicits._ scala> import cats.data.Validated scala> import Validated.{Valid, Invalid} scala> type ErrOr[A] = Validated[String, A] scala> val validInt: ErrOr[Int] = Valid(3) scala> val validBool: ErrOr[Boolean] = Valid(true) scala> val invalidInt: ErrOr[Int] = Invalid("Invalid int.") scala> val invalidBool: ErrOr[Boolean] = Invalid("Invalid boolean.") scala> Apply[ErrOr].productL(validInt)(validBool) res0: ErrOr[Int] = Valid(3) scala> Apply[ErrOr].productL(invalidInt)(validBool) res1: ErrOr[Int] = Invalid(Invalid int.) scala> Apply[ErrOr].productL(validInt)(invalidBool) res2: ErrOr[Int] = Invalid(Invalid boolean.) scala> Apply[ErrOr].productL(invalidInt)(invalidBool) res3: ErrOr[Int] = Invalid(Invalid int.Invalid boolean.)
Compose two actions, discarding any value produced by the first.
Compose two actions, discarding any value produced by the first.
productL to discard the value of the second instead. Example:
scala> import cats.implicits._ scala> import cats.data.Validated scala> import Validated.{Valid, Invalid} scala> type ErrOr[A] = Validated[String, A] scala> val validInt: ErrOr[Int] = Valid(3) scala> val validBool: ErrOr[Boolean] = Valid(true) scala> val invalidInt: ErrOr[Int] = Invalid("Invalid int.") scala> val invalidBool: ErrOr[Boolean] = Invalid("Invalid boolean.") scala> Apply[ErrOr].productR(validInt)(validBool) res0: ErrOr[Boolean] = Valid(true) scala> Apply[ErrOr].productR(invalidInt)(validBool) res1: ErrOr[Boolean] = Invalid(Invalid int.) scala> Apply[ErrOr].productR(validInt)(invalidBool) res2: ErrOr[Boolean] = Invalid(Invalid boolean.) scala> Apply[ErrOr].productR(invalidInt)(invalidBool) res3: ErrOr[Boolean] = Invalid(Invalid int.Invalid boolean.)
Given fa and n, apply fa n times to construct an F[List[A]] value.
Given fa and n, apply fa n times to construct an F[List[A]] value.
Example:
scala> import cats.data.State scala> type Counter[A] = State[Int, A] scala> val getAndIncrement: Counter[Int] = State { i => (i + 1, i) } scala> val getAndIncrement5: Counter[List[Int]] = | Applicative[Counter].replicateA(5, getAndIncrement) scala> getAndIncrement5.run(0).value res0: (Int, List[Int]) = (5,List(0, 1, 2, 3, 4))
Separate the inner foldable values into the "lefts" and "rights"
Separate the inner foldable values into the "lefts" and "rights"
Example:
scala> import cats.implicits._ scala> val l: List[Either[String, Int]] = List(Right(1), Left("error")) scala> Alternative[List].separate(l) res0: (List[String], List[Int]) = (List(error),List(1))
Tuples the A value in F[A] with the supplied B value, with the B value on the left.
Tuples the A value in F[A] with the supplied B value, with the B value on the left.
Example:
scala> import scala.collection.immutable.Queue scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForQueue scala> Functor[Queue].tupleLeft(Queue("hello", "world"), 42) res0: scala.collection.immutable.Queue[(Int, String)] = Queue((42,hello), (42,world))
Tuples the A value in F[A] with the supplied B value, with the B value on the right.
Tuples the A value in F[A] with the supplied B value, with the B value on the right.
Example:
scala> import scala.collection.immutable.Queue scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForQueue scala> Functor[Queue].tupleRight(Queue("hello", "world"), 42) res0: scala.collection.immutable.Queue[(String, Int)] = Queue((hello,42), (world,42))
Returns an F[Unit] value, equivalent with pure(()).
Returns an F[Unit] value, equivalent with pure(()).
A useful shorthand, also allowing implementations to optimize the
returned reference (e.g. it can be a val).
Example:
scala> import cats.implicits._ scala> Applicative[Option].unit res0: Option[Unit] = Some(())
Fold over the inner structure to combine all of the values with our combine method inherited from MonoidK.
Fold over the inner structure to combine all of the values with our combine method inherited from MonoidK. The result is for us to accumulate all of the "interesting" values of the inner G, so if G is Option, we collect all the Some values, if G is Either, we collect all the Right values, etc.
Example:
scala> import cats.implicits._ scala> val x: List[Vector[Int]] = List(Vector(1, 2), Vector(3, 4)) scala> Alternative[List].unite(x) res0: List[Int] = List(1, 2, 3, 4)
Returns the given argument (mapped to Unit) if cond is false,
otherwise, unit lifted into F.
Returns the given argument (mapped to Unit) if cond is false,
otherwise, unit lifted into F.
Example:
scala> import cats.implicits._ scala> Applicative[List].unlessA(true)(List(1, 2, 3)) res0: List[Unit] = List(()) scala> Applicative[List].unlessA(false)(List(1, 2, 3)) res1: List[Unit] = List((), (), ()) scala> Applicative[List].unlessA(true)(List.empty[Int]) res2: List[Unit] = List(()) scala> Applicative[List].unlessA(false)(List.empty[Int]) res3: List[Unit] = List()
Empty the fa of the values, preserving the structure
Empty the fa of the values, preserving the structure
Example:
scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForList scala> Functor[List].void(List(1,2,3)) res0: List[Unit] = List((), (), ())
Returns the given argument (mapped to Unit) if cond is true, otherwise,
unit lifted into F.
Returns the given argument (mapped to Unit) if cond is true, otherwise,
unit lifted into F.
Example:
scala> import cats.implicits._ scala> Applicative[List].whenA(true)(List(1, 2, 3)) res0: List[Unit] = List((), (), ()) scala> Applicative[List].whenA(false)(List(1, 2, 3)) res1: List[Unit] = List(()) scala> Applicative[List].whenA(true)(List.empty[Int]) res2: List[Unit] = List() scala> Applicative[List].whenA(false)(List.empty[Int]) res3: List[Unit] = List(())
Lifts natural subtyping covariance of covariant Functors.
Lifts natural subtyping covariance of covariant Functors.
NOTE: In certain (perhaps contrived) situations that rely on universal
equality this can result in a ClassCastException, because it is
implemented as a type cast. It could be implemented as map(identity), but
according to the functor laws, that should be equal to fa, and a type
cast is often much more performant.
See this example
of widen creating a ClassCastException.
Example:
scala> import cats.Functor scala> import cats.implicits.catsStdInstancesForOption scala> val s = Some(42) scala> Functor[Option].widen(s) res0: Option[Int] = Some(42)
Higher-arity ap methods
Higher-arity map methods
Higher-arity tuple methods