stabilize build system: depends, installer, boost/bdb fixes, cross targets groundwork
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/*!
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@file
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Forward declares `boost::hana::Comonad`.
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@copyright Louis Dionne 2013-2017
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Distributed under the Boost Software License, Version 1.0.
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(See accompanying file LICENSE.md or copy at http://boost.org/LICENSE_1_0.txt)
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*/
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#ifndef BOOST_HANA_FWD_CONCEPT_COMONAD_HPP
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#define BOOST_HANA_FWD_CONCEPT_COMONAD_HPP
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#include <boost/hana/config.hpp>
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BOOST_HANA_NAMESPACE_BEGIN
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// Note: We use a multiline C++ comment because there's a double backslash
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// symbol in the documentation (for LaTeX), which triggers
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// warning: multi-line comment [-Wcomment]
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// on GCC.
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/*!
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@ingroup group-concepts
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@defgroup group-Comonad Comonad
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The `Comonad` concept represents context-sensitive computations and
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data.
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Formally, the Comonad concept is dual to the Monad concept.
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But unless you're a mathematician, you don't care about that and it's
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fine. So intuitively, a Comonad represents context sensitive values
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and computations. First, Comonads make it possible to extract
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context-sensitive values from their context with `extract`.
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In contrast, Monads make it possible to wrap raw values into
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a given context with `lift` (from Applicative).
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Secondly, Comonads make it possible to apply context-sensitive values
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to functions accepting those, and to return the result as a
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context-sensitive value using `extend`. In contrast, Monads make
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it possible to apply a monadic value to a function accepting a normal
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value and returning a monadic value, and to return the result as a
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monadic value (with `chain`).
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Finally, Comonads make it possible to wrap a context-sensitive value
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into an extra layer of context using `duplicate`, while Monads make
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it possible to take a value with an extra layer of context and to
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strip it with `flatten`.
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Whereas `lift`, `chain` and `flatten` from Applicative and Monad have
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signatures
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\f{align*}{
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\mathtt{lift}_M &: T \to M(T) \\
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\mathtt{chain} &: M(T) \times (T \to M(U)) \to M(U) \\
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\mathtt{flatten} &: M(M(T)) \to M(T)
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\f}
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`extract`, `extend` and `duplicate` from Comonad have signatures
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\f{align*}{
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\mathtt{extract} &: W(T) \to T \\
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\mathtt{extend} &: W(T) \times (W(T) \to U) \to W(U) \\
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\mathtt{duplicate} &: W(T) \to W(W(T))
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\f}
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Notice how the "arrows" are reversed. This symmetry is essentially
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what we mean by Comonad being the _dual_ of Monad.
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@note
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The [Typeclassopedia][1] is a nice Haskell-oriented resource for further
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reading about Comonads.
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Minimal complete definition
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---------------------------
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`extract` and (`extend` or `duplicate`) satisfying the laws below.
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A `Comonad` must also be a `Functor`.
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Laws
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----
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For all Comonads `w`, the following laws must be satisfied:
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@code
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extract(duplicate(w)) == w
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transform(duplicate(w), extract) == w
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duplicate(duplicate(w)) == transform(duplicate(w), duplicate)
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@endcode
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@note
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There are several equivalent ways of defining Comonads, and this one
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is just one that was picked arbitrarily for simplicity.
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Refined concept
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---------------
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1. Functor\n
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Every Comonad is also required to be a Functor. At first, one might think
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that it should instead be some imaginary concept CoFunctor. However, it
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turns out that a CoFunctor is the same as a `Functor`, hence the
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requirement that a `Comonad` also is a `Functor`.
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Concrete models
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---------------
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`hana::lazy`
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[1]: https://wiki.haskell.org/Typeclassopedia#Comonad
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*/
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template <typename W>
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struct Comonad;
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BOOST_HANA_NAMESPACE_END
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#endif // !BOOST_HANA_FWD_CONCEPT_COMONAD_HPP
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