/*! @file Forward declares `boost::hana::Foldable`. Copyright Louis Dionne 2013-2022 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_FOLDABLE_HPP #define BOOST_HANA_FWD_CONCEPT_FOLDABLE_HPP #include namespace boost { namespace hana { //! @ingroup group-concepts //! @defgroup group-Foldable Foldable //! The `Foldable` concept represents data structures that can be reduced //! to a single value. //! //! Generally speaking, folding refers to the concept of summarizing a //! complex structure as a single value, by successively applying a //! binary operation which reduces two elements of the structure to a //! single value. Folds come in many flavors; left folds, right folds, //! folds with and without an initial reduction state, and their monadic //! variants. This concept is able to express all of these fold variants. //! //! Another way of seeing `Foldable` is as data structures supporting //! internal iteration with the ability to accumulate a result. By //! internal iteration, we mean that the _loop control_ is in the hand //! of the structure, not the caller. Hence, it is the structure who //! decides when the iteration stops, which is normally when the whole //! structure has been consumed. Since C++ is an eager language, this //! requires `Foldable` structures to be finite, or otherwise one would //! need to loop indefinitely to consume the whole structure. //! //! @note //! While the fact that `Foldable` only works for finite structures may //! seem overly restrictive in comparison to the Haskell definition of //! `Foldable`, a finer grained separation of the concepts should //! mitigate the issue. For iterating over possibly infinite data //! structures, see the `Iterable` concept. For searching a possibly //! infinite data structure, see the `Searchable` concept. //! //! //! Minimal complete definition //! --------------------------- //! `fold_left` or `unpack` //! //! However, please note that a minimal complete definition provided //! through `unpack` will be much more compile-time efficient than one //! provided through `fold_left`. //! //! //! Concrete models //! --------------- //! `hana::map`, `hana::optional`, `hana::pair`, `hana::set`, //! `hana::range`, `hana::tuple` //! //! //! @anchor Foldable-lin //! The linearization of a `Foldable` //! --------------------------------- //! Intuitively, for a `Foldable` structure `xs`, the _linearization_ of //! `xs` is the sequence of all the elements in `xs` as if they had been //! put in a list: //! @code //! linearization(xs) = [x1, x2, ..., xn] //! @endcode //! //! Note that it is always possible to produce such a linearization //! for a finite `Foldable` by setting //! @code //! linearization(xs) = fold_left(xs, [], flip(prepend)) //! @endcode //! for an appropriate definition of `[]` and `prepend`. The notion of //! linearization is useful for expressing various properties of //! `Foldable` structures, and is used across the documentation. Also //! note that `Iterable`s define an [extended version](@ref Iterable-lin) //! of this allowing for infinite structures. //! //! //! Compile-time Foldables //! ---------------------- //! A compile-time `Foldable` is a `Foldable` whose total length is known //! at compile-time. In other words, it is a `Foldable` whose `length` //! method returns a `Constant` of an unsigned integral type. When //! folding a compile-time `Foldable`, the folding can be unrolled, //! because the final number of steps of the algorithm is known at //! compile-time. //! //! Additionally, the `unpack` method is only available to compile-time //! `Foldable`s. This is because the return _type_ of `unpack` depends //! on the number of objects in the structure. Being able to resolve //! `unpack`'s return type at compile-time hence requires the length of //! the structure to be known at compile-time too. //! //! __In the current version of the library, only compile-time `Foldable`s //! are supported.__ While it would be possible in theory to support //! runtime `Foldable`s too, doing so efficiently requires more research. //! //! //! Provided conversion to `Sequence`s //! ---------------------------------- //! Given a tag `S` which is a `Sequence`, an object whose tag is a model //! of the `Foldable` concept can be converted to an object of tag `S`. //! In other words, a `Foldable` can be converted to a `Sequence` `S`, by //! simply taking the linearization of the `Foldable` and creating the //! sequence with that. More specifically, given a `Foldable` `xs` with a //! linearization of `[x1, ..., xn]` and a `Sequence` tag `S`, `to(xs)` //! is equivalent to `make(x1, ..., xn)`. //! @include example/foldable/to.cpp //! //! //! Free model for builtin arrays //! ----------------------------- //! Builtin arrays whose size is known can be folded as-if they were //! homogeneous tuples. However, note that builtin arrays can't be //! made more than `Foldable` (e.g. `Iterable`) because they can't //! be empty and they also can't be returned from functions. //! //! //! @anchor monadic-folds //! Primer on monadic folds //! ----------------------- //! A monadic fold is a fold in which subsequent calls to the binary //! function are chained with the monadic `chain` operator of the //! corresponding Monad. This allows a structure to be folded in a //! custom monadic context. For example, performing a monadic fold with //! the `hana::optional` monad would require the binary function to return //! the result as a `hana::optional`, and the fold would abort and return //! `nothing` whenever one of the accumulation step would fail (i.e. //! return `nothing`). If, however, all the reduction steps succeed, //! then `just` the result would be returned. Different monads will of //! course result in different effects. template struct Foldable; }} // end namespace boost::hana #endif // !BOOST_HANA_FWD_CONCEPT_FOLDABLE_HPP