Algebra

Alias for productR.

Alias for productL.

Alias for ap.

Wait for the specified duration after the execution of fa before returning the result.

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)

The asynchronous FFI.

k takes a callback of type Either[Throwable, A] => Unit to signal the result of the asynchronous computation. The execution of async(k) is semantically blocked until the callback is invoked.

k returns an Option[F[Unit]] which is an optional finalizer to be run in the event that the fiber running

async(k)

is canceled.

async(k) }}}

A convenience version of Async.async for when we don't need to perform F[_] effects or perform finalization in the event of cancelation.

Similar to attempt, but it only handles errors of type EE.

Similar to attempt, but wraps the result in a cats.data.EitherT for convenience.

Reifies the value or error of the source and performs an effect on the result, then recovers the original value or error back into F.

Note that if the effect returned by f fails, the resulting effect will fail too.

Alias for fa.attempt.flatTap(f).rethrow for convenience.

Example:

scala> import cats.implicits._
scala> import scala.util.{Try, Success, Failure}

scala> def checkError(result: Either[Throwable, Int]): Try[String] = result.fold(_ => Failure(new java.lang.Exception), _ => Success("success"))

scala> val a: Try[Int] = Failure(new Throwable("failed"))
scala> a.attemptTap(checkError)
res0: scala.util.Try[Int] = Failure(java.lang.Exception)

scala> val b: Try[Int] = Success(1)
scala> b.attemptTap(checkError)
res1: scala.util.Try[Int] = Success(1)

Returns a Resource that manages the concurrent execution of a fiber. The inner effect can be used to wait on the outcome of the child fiber; it is effectively a join.

The child fiber is canceled in two cases: either the resource goes out of scope or the parent fiber is canceled. If the child fiber terminates before one of these cases occurs, then cancelation is a no-op. This avoids fiber leaks because the child fiber is always canceled before the parent fiber drops the reference to it.

 // Starts a fiber that continously prints "A".
 // After 10 seconds, the resource scope exits so the fiber is canceled.
 F.background(F.delay(println("A")).foreverM).use { _ =>
   F.sleep(10.seconds)
 }

Start a new background fiber on a different execution context.

See GenSpawn.background for more details.

Like Sync.delay but intended for thread blocking operations. blocking will shift the execution of the blocking operation to a separate threadpool to avoid blocking on the main execution context. See the thread-model documentation for more information on why this is necessary. Note that the created effect will be uncancelable; if you need cancelation then you should use Sync.interruptible or Sync.interruptibleMany.

Sync[F].blocking(scala.io.Source.fromFile("path").mkString)

Races the evaluation of two fibers and returns the result of both.

The following rules describe the semantics of both:

1. If the winner completes with Outcome.Succeeded, the race waits for the loser to complete. 2. If the winner completes with Outcome.Errored, the race raises the error. The loser is canceled. 3. If the winner completes with Outcome.Canceled, the loser and the race are canceled as well. 4. If the loser completes with Outcome.Succeeded, the race returns the successful value of both fibers. 5. If the loser completes with Outcome.Errored, the race returns the error. 6. If the loser completes with Outcome.Canceled, the race is canceled. 7. If the race is canceled before one or both participants complete, then whichever ones are incomplete are canceled. 8. If the race is masked and is canceled because one or both participants canceled, the fiber will block indefinitely.

Races the evaluation of two fibers and returns the Outcome of both. If the race is canceled before one or both participants complete, then then whichever ones are incomplete are canceled.

A pattern for safely interacting with effectful lifecycles.

If acquire completes successfully, use is called. If use succeeds, fails, or is canceled, release is guaranteed to be called exactly once.

acquire is uncancelable. release is uncancelable. use is cancelable by default, but can be masked.

A pattern for safely interacting with effectful lifecycles.

If acquire completes successfully, use is called. If use succeeds, fails, or is canceled, release is guaranteed to be called exactly once.

acquire is uncancelable. release is uncancelable. use is cancelable by default, but can be masked.

Often E is Throwable. Here we try to call pure or catch and raise.

Often E is Throwable. Here we try to call pure or catch and raise

Evaluates the specified block, catching exceptions of the specified type. Uncaught exceptions are propagated.

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 Invariant F[_] and G[_] then produce Invariant[F[G[_]]] using their imap.

Example:

scala> import cats.implicits._
scala> import scala.concurrent.duration._

scala> val durSemigroupList: Semigroup[List[FiniteDuration]] =
    | Invariant[Semigroup].compose[List].imap(Semigroup[List[Long]])(Duration.fromNanos)(_.toNanos)
scala> durSemigroupList.combine(List(2.seconds, 3.seconds), List(4.seconds))
res1: List[FiniteDuration] = List(2 seconds, 3 seconds, 4 seconds)

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]]]].

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)

Compose Invariant F[_] and Functor G[_] then produce Invariant[F[G[_]]] using F's imap and G's map.

Example:

scala> import cats.implicits._
scala> import scala.concurrent.duration._

scala> val durSemigroupList: Semigroup[List[FiniteDuration]] =
    | Invariant[Semigroup]
    |   .composeFunctor[List]
    |   .imap(Semigroup[List[Long]])(Duration.fromNanos)(_.toNanos)
scala> durSemigroupList.combine(List(2.seconds, 3.seconds), List(4.seconds))
res1: List[FiniteDuration] = List(2 seconds, 3 seconds, 4 seconds)

Suspends the evaluation of an F[_] reference.

Equivalent to FlatMap.flatten for pure expressions, the purpose of this function is to suspend side effects in F[_].

The synchronous FFI - lifts any by-name parameter into the F[_] context.

Equivalent to Applicative.pure for pure expressions, the purpose of this function is to suspend side effects in F. Use Sync.delay if your side effect is not thread-blocking; otherwise you should use Sync.blocking (uncancelable) or Sync.interruptible (cancelable).

Delay the execution of fa by a given duration.

Turns a successful value into an error if it does not satisfy a given predicate.

Turns a successful value into an error specified by the error function if it does not satisfy a given predicate.

Async.evalOn as a natural transformation.

Defer instances, like functions, parsers, generators, IO, etc... often are used in recursive settings where this function is useful

fix(fn) == fn(fix(fn))

example:

val parser: P[Int] = Defer[P].fix[Int] { rec => CharsIn("0123456789") | P("(") ~ rec ~ P(")") }

Note, fn may not yield a terminating value in which case both of the above F[A] run forever.

Apply a monadic function and discard the result while keeping the effect.

scala> import cats._, implicits._
scala> Option(1).flatTap(_ => None)
res0: Option[Int] = None
scala> Option(1).flatTap(_ => Some("123"))
res1: Option[Int] = Some(1)
scala> def nCats(n: Int) = List.fill(n)("cat")
nCats: (n: Int)List[String]
scala> List[Int](0).flatTap(nCats)
res2: List[Int] = List()
scala> List[Int](4).flatTap(nCats)
res3: List[Int] = List(4, 4, 4, 4)

"flatten" a nested F of F structure into a single-layer F structure.

This is also commonly called join.

Example:

scala> import cats.Eval
scala> import cats.implicits._

scala> val nested: Eval[Eval[Int]] = Eval.now(Eval.now(3))
scala> val flattened: Eval[Int] = nested.flatten
scala> flattened.value
res0: Int = 3

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!)

Like an infinite loop of >> calls. This is most useful effect loops that you want to run forever in for instance a server.

This will be an infinite loop, or it will return an F[Nothing].

Be careful using this. For instance, a List of length k will produce a list of length k^n at iteration n. This means if k = 0, we return an empty list, if k = 1, we loop forever allocating single element lists, but if we have a k > 1, we will allocate exponentially increasing memory and very quickly OOM.

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))

Pair the result of function application with A.

Example:

scala> import cats.Functor
scala> import cats.implicits.catsStdInstancesForOption

scala> Functor[Option].fproductLeft(Option(42))(_.toString)
res0: Option[(String, Int)] = Some((42,42))

Suspend a java.util.concurrent.CompletableFuture into the F[_] context.

Convert from scala.Either

Example:

scala> import cats.ApplicativeError
scala> import cats.instances.option._

scala> ApplicativeError[Option, Unit].fromEither(Right(1))
res0: scala.Option[Int] = Some(1)

scala> ApplicativeError[Option, Unit].fromEither(Left(()))
res1: scala.Option[Nothing] = None

Lifts a scala.concurrent.Future into an F effect.

Convert from scala.Option

Example:

scala> import cats.implicits._
scala> import cats.ApplicativeError
scala> val F = ApplicativeError[Either[String, *], String]

scala> F.fromOption(Some(1), "Empty")
res0: scala.Either[String, Int] = Right(1)

scala> F.fromOption(Option.empty[Int], "Empty")
res1: scala.Either[String, Int] = Left(Empty)

If the error type is Throwable, we can convert from a scala.util.Try

Convert from cats.data.Validated

Example:

scala> import cats.implicits._
scala> import cats.ApplicativeError

scala> ApplicativeError[Option, Unit].fromValidated(1.valid[Unit])
res0: scala.Option[Int] = Some(1)

scala> ApplicativeError[Option, Unit].fromValidated(().invalid[Int])
res1: scala.Option[Int] = None

Handle any error, by mapping it to an A value.

Simulates an if/else-if/else in the context of an F. It evaluates conditions until one evaluates to true, and returns the associated F[A]. If no condition is true, returns els.

scala> import cats._
scala> Monad[Eval].ifElseM(Eval.later(false) -> Eval.later(1), Eval.later(true) -> Eval.later(2))(Eval.later(5)).value
res0: Int = 2

Based on a gist by Daniel Spiewak with a stack-safe implementation due to P. Oscar Boykin

Lifts if to Functor

Example:

scala> import cats.Functor
scala> import cats.implicits.catsStdInstancesForList

scala> Functor[List].ifF(List(true, false, false))(1, 0)
res0: List[Int] = List(1, 0, 0)

if lifted into monad.

Like Sync.blocking but will attempt to abort the blocking operation using thread interrupts in the event of cancelation. The interrupt will be attempted only once.

Like Sync.blocking but will attempt to abort the blocking operation using thread interrupts in the event of cancelation. The interrupt will be attempted repeatedly until the blocking operation completes or exits.

iterateForeverM is almost exclusively useful for effect types. For instance, A may be some state, we may take the current state, run some effect to get a new state and repeat.

Execute an action repeatedly until its result satisfies the given predicate and return that result, discarding all others.

Apply a monadic function iteratively until its result satisfies the given predicate and return that result.

Execute an action repeatedly until its result fails to satisfy the given predicate and return that result, discarding all others.

Apply a monadic function iteratively until its result fails to satisfy the given predicate and return that result.

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)