Effect

Evaluates F[_], with the effect of starting the run-loop being suspended in the SyncIO context.

 val io = F.runAsync(fa)(cb)
 // Running io results in evaluation of `fa` starting
 io.unsafeRunSync

Evaluates F[_], with the effect of starting the run-loop being suspended in the SyncIO context.

 val io = F.runAsync(fa)(cb)
 // Running io results in evaluation of `fa` starting
 io.unsafeRunSync

Convert to an IO[A].

The law is that toIO(liftIO(ioa)) is the same as ioa

Convert to an IO[A].

The law is that toIO(liftIO(ioa)) is the same as ioa

Alias for productR.

Alias for productR.

Alias for productL.

Alias for productL.

Alias for ap.

Alias for ap.

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)

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)

Creates a simple, non-cancelable F[A] instance that executes an asynchronous process on evaluation.

The given function is being injected with a side-effectful callback for signaling the final result of an asynchronous process.

This operation could be derived from asyncF, because:

 F.async(k) <-> F.asyncF(cb => F.delay(k(cb)))

As an example of wrapping an impure async API, here's the implementation of Async.shift:

 def shift[F[_]](ec: ExecutionContext)(implicit F: Async[F]): F[Unit] =
   F.async { cb =>
     // Scheduling an async boundary (logical thread fork)
     ec.execute(new Runnable {
       def run(): Unit = {
         // Signaling successful completion
         cb(Right(()))
       }
     })
   }

Creates a simple, non-cancelable F[A] instance that executes an asynchronous process on evaluation.

The given function is being injected with a side-effectful callback for signaling the final result of an asynchronous process.

This operation could be derived from asyncF, because:

 F.async(k) <-> F.asyncF(cb => F.delay(k(cb)))

As an example of wrapping an impure async API, here's the implementation of Async.shift:

 def shift[F[_]](ec: ExecutionContext)(implicit F: Async[F]): F[Unit] =
   F.async { cb =>
     // Scheduling an async boundary (logical thread fork)
     ec.execute(new Runnable {
       def run(): Unit = {
         // Signaling successful completion
         cb(Right(()))
       }
     })
   }

Creates a simple, non-cancelable F[A] instance that executes an asynchronous process on evaluation.

The given function is being injected with a side-effectful callback for signaling the final result of an asynchronous process. And its returned result needs to be a pure F[Unit] that gets evaluated by the runtime.

Note the simpler async variant async can be derived like this:

 F.async(k) <-> F.asyncF(cb => F.delay(k(cb)))

For wrapping impure APIs usually you can use the simpler async, however asyncF is useful in cases where impure APIs are wrapped with the help of pure abstractions, such as Ref.

For example here's how a simple, "pure Promise" implementation could be implemented via Ref (sample is for didactic purposes, as you have a far better Deferred available):

 import cats.effect.concurrent.Ref

 type Callback[-A] = Either[Throwable, A] => Unit

 class PurePromise[F[_], A](ref: Ref[F, Either[List[Callback[A]], A]])
   (implicit F: Async[F]) {

   def get: F[A] = F.asyncF { cb =>
     ref.modify {
       case current @ Right(result) =>
         (current, F.delay(cb(Right(result))))
       case Left(list) =>
         (Left(cb :: list), F.unit)
     }
   }

   def complete(value: A): F[Unit] =
     F.flatten(ref.modify {
       case Left(list) =>
         (Right(value), F.delay(list.foreach(_(Right(value)))))
       case right =>
         (right, F.unit)
     })
 }

N.B. if F[_] is a cancelable data type (i.e. implementing Concurrent), then the returned F[Unit] can be cancelable, its evaluation hooking into the underlying cancelation mechanism of F[_], so something like this behaves like you'd expect:

 def delayed[F[_], A](thunk: => A)
   (implicit F: Async[F], timer: Timer[F]): F[A] = {

   timer.sleep(1.second) *> F.delay(cb(
     try cb(Right(thunk))
     catch { case NonFatal(e) => Left(cb(Left(e))) }
   ))
 }

The asyncF operation behaves like Sync.suspend, except that the result has to be signaled via the provided callback.

==ERROR HANDLING==

As a matter of contract the returned F[Unit] should not throw errors. If it does, then the behavior is undefined.

This is because by contract the provided callback should only be called once. Calling it concurrently, multiple times, is a contract violation. And if the returned F[Unit] throws, then the implementation might have called it already, so it would be a contract violation to call it without expensive synchronization.

In case errors are thrown the behavior is implementation specific. The error might get logged to stderr, or via other mechanisms that are implementations specific.

Creates a simple, non-cancelable F[A] instance that executes an asynchronous process on evaluation.

The given function is being injected with a side-effectful callback for signaling the final result of an asynchronous process. And its returned result needs to be a pure F[Unit] that gets evaluated by the runtime.

Note the simpler async variant async can be derived like this:

 F.async(k) <-> F.asyncF(cb => F.delay(k(cb)))

For wrapping impure APIs usually you can use the simpler async, however asyncF is useful in cases where impure APIs are wrapped with the help of pure abstractions, such as Ref.

For example here's how a simple, "pure Promise" implementation could be implemented via Ref (sample is for didactic purposes, as you have a far better Deferred available):

 import cats.effect.concurrent.Ref

 type Callback[-A] = Either[Throwable, A] => Unit

 class PurePromise[F[_], A](ref: Ref[F, Either[List[Callback[A]], A]])
   (implicit F: Async[F]) {

   def get: F[A] = F.asyncF { cb =>
     ref.modify {
       case current @ Right(result) =>
         (current, F.delay(cb(Right(result))))
       case Left(list) =>
         (Left(cb :: list), F.unit)
     }
   }

   def complete(value: A): F[Unit] =
     F.flatten(ref.modify {
       case Left(list) =>
         (Right(value), F.delay(list.foreach(_(Right(value)))))
       case right =>
         (right, F.unit)
     })
 }

N.B. if F[_] is a cancelable data type (i.e. implementing Concurrent), then the returned F[Unit] can be cancelable, its evaluation hooking into the underlying cancelation mechanism of F[_], so something like this behaves like you'd expect:

 def delayed[F[_], A](thunk: => A)
   (implicit F: Async[F], timer: Timer[F]): F[A] = {

   timer.sleep(1.second) *> F.delay(cb(
     try cb(Right(thunk))
     catch { case NonFatal(e) => Left(cb(Left(e))) }
   ))
 }

The asyncF operation behaves like Sync.suspend, except that the result has to be signaled via the provided callback.

==ERROR HANDLING==

As a matter of contract the returned F[Unit] should not throw errors. If it does, then the behavior is undefined.

This is because by contract the provided callback should only be called once. Calling it concurrently, multiple times, is a contract violation. And if the returned F[Unit] throws, then the implementation might have called it already, so it would be a contract violation to call it without expensive synchronization.

In case errors are thrown the behavior is implementation specific. The error might get logged to stderr, or via other mechanisms that are implementations specific.

Handle errors by turning them into scala.util.Either values.

If there is no error, then an scala.util.Right value will be returned instead.

All non-fatal errors should be handled by this method.

Handle errors by turning them into scala.util.Either values.

If there is no error, then an scala.util.Right value will be returned instead.

All non-fatal errors should be handled by this method.

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

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.

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)

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)

Operation meant for specifying tasks with safe resource acquisition and release in the face of errors and interruption.

This operation provides the equivalent of try/catch/finally statements in mainstream imperative languages for resource acquisition and release.

Operation meant for specifying tasks with safe resource acquisition and release in the face of errors and interruption.

This operation provides the equivalent of try/catch/finally statements in mainstream imperative languages for resource acquisition and release.

A generalized version of bracket which uses ExitCase to distinguish between different exit cases when releasing the acquired resource.

A generalized version of bracket which uses ExitCase to distinguish between different exit cases when releasing the acquired resource.

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.

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.

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 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 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)

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)

Alias for suspend that suspends the evaluation of an F reference and implements cats.Defer typeclass.

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.

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.

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

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.

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

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.

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)

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

"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!)

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.

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))

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))

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))

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

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

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)

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

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

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

Executes the given finalizer when the source is finished, either in success or in error, or if canceled.

This variant of guaranteeCase evaluates the given finalizer regardless of how the source gets terminated:

• normal completion
• completion in error
• cancelation

This equivalence always holds:

 F.guarantee(fa)(f) <-> F.bracket(F.unit)(_ => fa)(_ => f)

As best practice, it's not a good idea to release resources via guaranteeCase in polymorphic code. Prefer bracket for the acquisition and release of resources.

Executes the given finalizer when the source is finished, either in success or in error, or if canceled.

This variant of guaranteeCase evaluates the given finalizer regardless of how the source gets terminated:

• normal completion
• completion in error
• cancelation

This equivalence always holds:

 F.guarantee(fa)(f) <-> F.bracket(F.unit)(_ => fa)(_ => f)

As best practice, it's not a good idea to release resources via guaranteeCase in polymorphic code. Prefer bracket for the acquisition and release of resources.

Executes the given finalizer when the source is finished, either in success or in error, or if canceled, allowing for differentiating between exit conditions.

This variant of guarantee injects an ExitCase in the provided function, allowing one to make a difference between:

• normal completion
• completion in error
• cancelation

This equivalence always holds:

 F.guaranteeCase(fa)(f) <-> F.bracketCase(F.unit)(_ => fa)((_, e) => f(e))

As best practice, it's not a good idea to release resources via guaranteeCase in polymorphic code. Prefer bracketCase for the acquisition and release of resources.

Executes the given finalizer when the source is finished, either in success or in error, or if canceled, allowing for differentiating between exit conditions.

This variant of guarantee injects an ExitCase in the provided function, allowing one to make a difference between:

• normal completion
• completion in error
• cancelation

This equivalence always holds:

 F.guaranteeCase(fa)(f) <-> F.bracketCase(F.unit)(_ => fa)((_, e) => f(e))

As best practice, it's not a good idea to release resources via guaranteeCase in polymorphic code. Prefer bracketCase for the acquisition and release of resources.

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

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

Handle any error, potentially recovering from it, by mapping it to an F[A] value.

Handle any error, potentially recovering from it, by mapping it to an F[A] value.

An if-then-else lifted into the F context. This function combines the effects of the fcond condition and of the two branches, in the order in which they are given.

The value of the result is, depending on the value of the condition, the value of the first argument, or the value of the second argument.

Example:

scala> import cats.implicits._

scala> val b1: Option[Boolean] = Some(true)
scala> val asInt1: Option[Int] = Apply[Option].ifA(b1)(Some(1), Some(0))
scala> asInt1.get
res0: Int = 1

scala> val b2: Option[Boolean] = Some(false)
scala> val asInt2: Option[Int] = Apply[Option].ifA(b2)(Some(1), Some(0))
scala> asInt2.get
res1: Int = 0

scala> val b3: Option[Boolean] = Some(true)
scala> val asInt3: Option[Int] = Apply[Option].ifA(b3)(Some(1), None)
asInt2: Option[Int] = None

An if-then-else lifted into the F context. This function combines the effects of the fcond condition and of the two branches, in the order in which they are given.

The value of the result is, depending on the value of the condition, the value of the first argument, or the value of the second argument.

Example:

scala> import cats.implicits._

scala> val b1: Option[Boolean] = Some(true)
scala> val asInt1: Option[Int] = Apply[Option].ifA(b1)(Some(1), Some(0))
scala> asInt1.get
res0: Int = 1

scala> val b2: Option[Boolean] = Some(false)
scala> val asInt2: Option[Int] = Apply[Option].ifA(b2)(Some(1), Some(0))
scala> asInt2.get
res1: Int = 0

scala> val b3: Option[Boolean] = Some(true)
scala> val asInt3: Option[Int] = Apply[Option].ifA(b3)(Some(1), None)
asInt2: Option[Int] = None

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

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)

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.

if lifted into monad.

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.

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.

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.

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.

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.

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)

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)

Inherited from LiftIO, defines a conversion from IO in terms of the Async type class.

N.B. expressing this conversion in terms of Async and its capabilities means that the resulting F is not cancelable. Concurrent then overrides this with an implementation that is.

To access this implementation as a standalone function, you can use Async.liftIO (on the object companion).

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

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

Pair A with the result of function application.

Example:

scala> import cats.implicits._
scala> List("12", "34", "56").mproduct(_.toList)
res0: List[(String, Char)] = List((12,1), (12,2), (34,3), (34,4), (56,5), (56,6))

Pair A with the result of function application.

Example:

scala> import cats.implicits._
scala> List("12", "34", "56").mproduct(_.toList)
res0: List[(String, Char)] = List((12,1), (12,2), (34,3), (34,4), (56,5), (56,6))

Returns a non-terminating F[_], that never completes with a result, being equivalent to async(_ => ())

Returns a non-terminating F[_], that never completes with a result, being equivalent to async(_ => ())

Executes the given finalizer when the source is canceled.

The typical use case for this function arises in the implementation of concurrent abstractions, which generally consist of operations that perform asynchronous waiting after concurrently modifying some state: in case the user asks for cancelation, we want to interrupt the waiting operation, and restore the state to its previous value.

waitingOp.onCancel(restoreState)

A direct use of bracket is not a good fit for this case as it would make the waiting action uncancelable.

NOTE: This function handles interruption only, you need to take care of the success and error case elsewhere in your code

Executes the given finalizer when the source is canceled.

The typical use case for this function arises in the implementation of concurrent abstractions, which generally consist of operations that perform asynchronous waiting after concurrently modifying some state: in case the user asks for cancelation, we want to interrupt the waiting operation, and restore the state to its previous value.

waitingOp.onCancel(restoreState)

A direct use of bracket is not a good fit for this case as it would make the waiting action uncancelable.

NOTE: This function handles interruption only, you need to take care of the success and error case elsewhere in your code

Execute a callback on certain errors, then rethrow them. Any non matching error is rethrown as well.

In the following example, only one of the errors is logged, but they are both rethrown, to be possibly handled by another layer of the program:

scala> import cats._, data._, implicits._

scala> case class Err(msg: String)

scala> type F[A] = EitherT[State[String, *], Err, A]

scala> val action: PartialFunction[Err, F[Unit]] = {
    |   case Err("one") => EitherT.liftF(State.set("one"))
    | }

scala> val prog1: F[Int] = (Err("one")).raiseError[F, Int]
scala> val prog2: F[Int] = (Err("two")).raiseError[F, Int]

scala> prog1.onError(action).value.run("").value

res0: (String, Either[Err,Int]) = (one,Left(Err(one)))

scala> prog2.onError(action).value.run("").value
res1: (String, Either[Err,Int]) = ("",Left(Err(two)))

Execute a callback on certain errors, then rethrow them. Any non matching error is rethrown as well.

In the following example, only one of the errors is logged, but they are both rethrown, to be possibly handled by another layer of the program:

scala> import cats._, data._, implicits._

scala> case class Err(msg: String)

scala> type F[A] = EitherT[State[String, *], Err, A]

scala> val action: PartialFunction[Err, F[Unit]] = {
    |   case Err("one") => EitherT.liftF(State.set("one"))
    | }

scala> val prog1: F[Int] = (Err("one")).raiseError[F, Int]
scala> val prog2: F[Int] = (Err("two")).raiseError[F, Int]

scala> prog1.onError(action).value.run("").value

res0: (String, Either[Err,Int]) = (one,Left(Err(one)))

scala> prog2.onError(action).value.run("").value
res1: (String, Either[Err,Int]) = ("",Left(Err(two)))

point lifts any value into a Monoidal Functor.

Example:

scala> import cats.implicits._

scala> InvariantMonoidal[Option].point(10)
res0: Option[Int] = Some(10)

point lifts any value into a Monoidal Functor.

Example:

scala> import cats.implicits._

scala> InvariantMonoidal[Option].point(10)
res0: Option[Int] = Some(10)

Sequentially compose two actions, discarding any value produced by the second. This variant of productL also lets you define the evaluation strategy of the second action. For instance you can evaluate it only ''after'' the first action has finished:

scala> import cats.Eval
scala> import cats.implicits._
scala> var count = 0
scala> val fa: Option[Int] = Some(3)
scala> def fb: Option[Unit] = Some(count += 1)
scala> fa.productLEval(Eval.later(fb))
res0: Option[Int] = Some(3)
scala> assert(count == 1)
scala> none[Int].productLEval(Eval.later(fb))
res1: Option[Int] = None
scala> assert(count == 1)

Sequentially compose two actions, discarding any value produced by the second. This variant of productL also lets you define the evaluation strategy of the second action. For instance you can evaluate it only ''after'' the first action has finished:

scala> import cats.Eval
scala> import cats.implicits._
scala> var count = 0
scala> val fa: Option[Int] = Some(3)
scala> def fb: Option[Unit] = Some(count += 1)
scala> fa.productLEval(Eval.later(fb))
res0: Option[Int] = Some(3)
scala> assert(count == 1)
scala> none[Int].productLEval(Eval.later(fb))
res1: Option[Int] = None
scala> assert(count == 1)

Sequentially compose two actions, discarding any value produced by the first. This variant of productR also lets you define the evaluation strategy of the second action. For instance you can evaluate it only ''after'' the first action has finished:

scala> import cats.Eval
scala> import cats.implicits._
scala> val fa: Option[Int] = Some(3)
scala> def fb: Option[String] = Some("foo")
scala> fa.productREval(Eval.later(fb))
res0: Option[String] = Some(foo)

Sequentially compose two actions, discarding any value produced by the first. This variant of productR also lets you define the evaluation strategy of the second action. For instance you can evaluate it only ''after'' the first action has finished:

scala> import cats.Eval
scala> import cats.implicits._
scala> val fa: Option[Int] = Some(3)
scala> def fb: Option[String] = Some("foo")
scala> fa.productREval(Eval.later(fb))
res0: Option[String] = Some(foo)

pure lifts any value into the Applicative Functor.

Example:

scala> import cats.implicits._

scala> Applicative[Option].pure(10)
res0: Option[Int] = Some(10)

pure lifts any value into the Applicative Functor.

Example:

scala> import cats.implicits._

scala> Applicative[Option].pure(10)
res0: Option[Int] = Some(10)

Lift an error into the F context.

Example:

scala> import cats.implicits._

// integer-rounded division
scala> def divide[F[_]](dividend: Int, divisor: Int)(implicit F: ApplicativeError[F, String]): F[Int] =
    | if (divisor === 0) F.raiseError("division by zero")
    | else F.pure(dividend / divisor)

scala> type ErrorOr[A] = Either[String, A]

scala> divide[ErrorOr](6, 3)
res0: ErrorOr[Int] = Right(2)

scala> divide[ErrorOr](6, 0)
res1: ErrorOr[Int] = Left(division by zero)

Lift an error into the F context.

Example:

scala> import cats.implicits._

// integer-rounded division
scala> def divide[F[_]](dividend: Int, divisor: Int)(implicit F: ApplicativeError[F, String]): F[Int] =
    | if (divisor === 0) F.raiseError("division by zero")
    | else F.pure(dividend / divisor)

scala> type ErrorOr[A] = Either[String, A]

scala> divide[ErrorOr](6, 3)
res0: ErrorOr[Int] = Right(2)

scala> divide[ErrorOr](6, 0)
res1: ErrorOr[Int] = Left(division by zero)

Recover from certain errors by mapping them to an A value.

Recover from certain errors by mapping them to an A value.

Recover from certain errors by mapping them to an F[A] value.

Recover from certain errors by mapping them to an F[A] value.