example
A Bifunctor is very similar to a Functor, which you are hopefully already familiar with.
A Functor is a ubiquitous typeclass involving type constructors of kind * → *, which is another way of saying types that have a single type variable.
A Functor is a ubiquitous typeclass involving type constructors of kind * → *, which is another way of saying types that have a single type variable. Examples might be Option, List, Future.
The Functor category involves a single operation, named map:
def map[A, B](fa: F[A])(f: A => B): F[B]
This method takes a Function from A => B and turns an F[A] into an F[B]
Simple call-by-need (i.e.
Simple call-by-need (i.e. lazy) interpreter for Lambda Calculus based off of John Launchbury's "A Natural Semantics for Lazy Evaluation" Uses the "Barendregt convention": All variable names are globally unique (i.e. you cannot shadow variable names), and renames variables after substitution to maintain this invariant.
scalaz contains a way to simulate something similar to a Haskell newtype, where we can take an existing type, and create a new type from it, and allow us to create new typeclass instances for our newly created type to get different behaviors.
scalaz contains a way to simulate something similar to a Haskell newtype, where we can take an existing type, and create a new type from it, and allow us to create new typeclass instances for our newly created type to get different behaviors. The same thing could be done with scala 2.10's Value Classes: http://docs.scala-lang.org/overviews/core/value-classes.html however one has to be very careful when using value classes, because there are a lot of instances in which using a value class will incur a runtime boxing/unboxing of your value, which incurs a runtime cost. The scalaz tagged types will never cause boxing of a value.
Examples showing the use of Unapply to reduce the need for type annotations
Character/Line/Word Count from "The Essense of the Iterator Pattern".
Character/Line/Word Count from "The Essense of the Iterator Pattern".
A Bifunctor is very similar to a Functor, which you are hopefully already familiar with. Whereas a Functor operates on a * → * and has a single operation
mapwhich takes a function from A => B to map a F[A] to a F[B], a Bifunctor operates on a *,* → * and has a single operationbimapwhich takes two functions: A ⇒ C and a B ⇒ D to map a F[A,B] to a F[C,D]:def bimap[A, B, C, D](fab: F[A, B])(f: A => C, g: B => D): F[C, D]
some examples of common types for which we have Bifunctor instances are Either, Validation, \/, Tuple2