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- /*!
- @file
- Forward declares `boost::hana::Functor`.
- @copyright Louis Dionne 2013-2017
- Distributed under the Boost Software License, Version 1.0.
- (See accompanying file LICENSE.md or copy at http://boost.org/LICENSE_1_0.txt)
- */
- #ifndef BOOST_HANA_FWD_CONCEPT_FUNCTOR_HPP
- #define BOOST_HANA_FWD_CONCEPT_FUNCTOR_HPP
- #include <boost/hana/config.hpp>
- BOOST_HANA_NAMESPACE_BEGIN
- //! @ingroup group-concepts
- //! @defgroup group-Functor Functor
- //! The `Functor` concept represents types that can be mapped over.
- //!
- //! Intuitively, a [Functor][1] is some kind of box that can hold generic
- //! data and map a function over this data to create a new, transformed
- //! box. Because we are only interested in mapping a function over the
- //! contents of a black box, the only real requirement for being a functor
- //! is to provide a function which can do the mapping, along with a couple
- //! of guarantees that the mapping is well-behaved. Those requirements are
- //! made precise in the laws below. The pattern captured by `Functor` is
- //! very general, which makes it widely useful. A lot of objects can be
- //! made `Functor`s in one way or another, the most obvious example being
- //! sequences with the usual mapping of the function on each element.
- //! While this documentation will not go into much more details about
- //! the nature of functors, the [Typeclassopedia][2] is a nice
- //! Haskell-oriented resource for such information.
- //!
- //! Functors are parametric data types which are parameterized over the
- //! data type of the objects they contain. Like everywhere else in Hana,
- //! this parametricity is only at the documentation level and it is not
- //! enforced.
- //!
- //! In this library, the mapping function is called `transform` after the
- //! `std::transform` algorithm, but other programming languages have given
- //! it different names (usually `map`).
- //!
- //! @note
- //! The word _functor_ comes from functional programming, where the
- //! concept has been used for a while, notably in the Haskell programming
- //! language. Haskell people borrowed the term from [category theory][3],
- //! which, broadly speaking, is a field of mathematics dealing with
- //! abstract structures and transformations between those structures.
- //!
- //!
- //! Minimal complete definitions
- //! ----------------------------
- //! 1. `transform`\n
- //! When `transform` is specified, `adjust_if` is defined analogously to
- //! @code
- //! adjust_if(xs, pred, f) = transform(xs, [](x){
- //! if pred(x) then f(x) else x
- //! })
- //! @endcode
- //!
- //! 2. `adjust_if`\n
- //! When `adjust_if` is specified, `transform` is defined analogously to
- //! @code
- //! transform(xs, f) = adjust_if(xs, always(true), f)
- //! @endcode
- //!
- //!
- //! Laws
- //! ----
- //! Let `xs` be a Functor with tag `F(A)`,
- //! \f$ f : A \to B \f$ and
- //! \f$ g : B \to C \f$.
- //! The following laws must be satisfied:
- //! @code
- //! transform(xs, id) == xs
- //! transform(xs, compose(g, f)) == transform(transform(xs, f), g)
- //! @endcode
- //! The first line says that mapping the identity function should not do
- //! anything, which precludes the functor from doing something nasty
- //! behind the scenes. The second line states that mapping the composition
- //! of two functions is the same as mapping the first function, and then
- //! the second on the result. While the usual functor laws are usually
- //! restricted to the above, this library includes other convenience
- //! methods and they should satisfy the following equations.
- //! Let `xs` be a Functor with tag `F(A)`,
- //! \f$ f : A \to A \f$,
- //! \f$ \mathrm{pred} : A \to \mathrm{Bool} \f$
- //! for some `Logical` `Bool`, and `oldval`, `newval`, `value` objects
- //! of tag `A`. Then,
- //! @code
- //! adjust(xs, value, f) == adjust_if(xs, equal.to(value), f)
- //! adjust_if(xs, pred, f) == transform(xs, [](x){
- //! if pred(x) then f(x) else x
- //! })
- //! replace_if(xs, pred, value) == adjust_if(xs, pred, always(value))
- //! replace(xs, oldval, newval) == replace_if(xs, equal.to(oldval), newval)
- //! fill(xs, value) == replace_if(xs, always(true), value)
- //! @endcode
- //! The default definition of the methods will satisfy these equations.
- //!
- //!
- //! Concrete models
- //! ---------------
- //! `hana::lazy`, `hana::optional`, `hana::tuple`
- //!
- //!
- //! Structure-preserving functions for Functors
- //! -------------------------------------------
- //! A mapping between two functors which also preserves the functor
- //! laws is called a natural transformation (the term comes from
- //! category theory). A natural transformation is a function `f`
- //! from a functor `F` to a functor `G` such that for every other
- //! function `g` with an appropriate signature and for every object
- //! `xs` of tag `F(X)`,
- //! @code
- //! f(transform(xs, g)) == transform(f(xs), g)
- //! @endcode
- //!
- //! There are several examples of such transformations, like `to<tuple_tag>`
- //! when applied to an optional value. Indeed, for any function `g` and
- //! `hana::optional` `opt`,
- //! @code
- //! to<tuple_tag>(transform(opt, g)) == transform(to<tuple_tag>(opt), g)
- //! @endcode
- //!
- //! Of course, natural transformations are not limited to the `to<...>`
- //! functions. However, note that any conversion function between Functors
- //! should be natural for the behavior of the conversion to be intuitive.
- //!
- //!
- //! [1]: http://en.wikipedia.org/wiki/Functor
- //! [2]: https://wiki.haskell.org/Typeclassopedia#Functor
- //! [3]: http://en.wikipedia.org/wiki/Category_theory
- template <typename F>
- struct Functor;
- BOOST_HANA_NAMESPACE_END
- #endif // !BOOST_HANA_FWD_CONCEPT_FUNCTOR_HPP
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