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| 1c692d8cbf |
@@ -351,8 +351,14 @@
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\newcommand{\fail}{\dec{fail}}
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\newcommand{\optionalise}{\dec{optionalise}}
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\newcommand{\bind}{\ensuremath{\gg\!=}}
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\newcommand{\return}{\dec{return}}
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\newcommand{\return}{\dec{Return}}
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\newcommand{\faild}{\dec{withDefault}}
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\newcommand{\Free}{\dec{Free}}
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\newcommand{\OpF}{\dec{Op}}
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\newcommand{\DoF}{\dec{do}}
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\newcommand{\getF}{\dec{get}}
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\newcommand{\putF}{\dec{put}}
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\newcommand{\fmap}{\dec{fmap}}
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% Abstract machine
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\newcommand{\cek}[1]{\ensuremath{\langle #1 \rangle}}
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30
thesis.bib
30
thesis.bib
@@ -768,6 +768,26 @@
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year = {1992}
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}
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@article{Wadler92b,
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author = {Philip Wadler},
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title = {Comprehending Monads},
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journal = {Math. Struct. Comput. Sci.},
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volume = {2},
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number = {4},
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pages = {461--493},
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year = {1992}
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}
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@inproceedings{JonesW93,
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author = {Simon L. Peyton Jones and
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Philip Wadler},
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title = {Imperative Functional Programming},
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booktitle = {{POPL}},
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pages = {71--84},
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publisher = {{ACM} Press},
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year = {1993}
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}
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@inproceedings{Wadler95,
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author = {Philip Wadler},
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title = {Monads for Functional Programming},
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@@ -3168,3 +3188,13 @@
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year = {2011},
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booktitle = {{TPDC}}
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}
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# Fellowship of the Ring reference
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@book{Tolkien54,
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title = {The lord of the rings: Part 1: The fellowship of the ring},
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author = {John Ronald Reuel Tolkien},
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publisher = {Allen and Unwin},
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year = 1954,
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language = {eng},
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keywords = {Fiction},
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}
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212
thesis.tex
212
thesis.tex
@@ -398,11 +398,196 @@ expressiveness.
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\subsection{Why effect handlers matter}
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\section{State of effectful programming}
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\subsection{Monadic programming}
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\subsection{Dark age of impurity}
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\subsection{Monadic enlightenment}
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During the late 80s and early 90s monads rose to prominence as a
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practical program structuring idiom for effectful
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programming. Notably, they form the foundations for effectful
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programming in Haskell, which adds special language-level support for
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programming with monads~\cite{JonesABBBFHHHHJJLMPRRW99}.
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%
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\begin{definition}
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A monad is a triple $(T, \Return, \bind)$ where $T$ is some unary
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type constructor, $\Return$ is an operation that lifts an arbitrary
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value into the monad (sometimes this operation is called `the unit
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operation'), and $\bind$ is an application operator the monad (this
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operator is pronounced `bind'). Implementations of $\Return$ and
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$\bind$ must conform to the following interface.
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%
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\[
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\bl
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\Return : A \to T~A \qquad\quad \bind ~: T~A \to (A \to T~B) \to T~B
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\el
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\]
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%
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Interactions between $\Return$ and $\bind$ are governed by the
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so-called `monad laws'.
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\begin{reductions}
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\slab{Left\textrm{ }identity} & \Return\;x \bind k &=& k~x\\
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\slab{Right\textrm{ }identity} & m \bind \Return &=& m\\
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\slab{Associativity} & (m \bind k) \bind f &=& m \bind (\lambda x. k~x \bind f)
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\end{reductions}
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\end{definition}
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%
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Monads have given rise to various popular control-oriented programming
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abstractions, e.g. async/await originates from monadic
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abstractions, e.g. the async/await idiom has its origins in monadic
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programming~\cite{Claessen99,LiZ07,SymePL11}.
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\subsection{Option monad}
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The $\Option$ type is a unary type constructor with two data
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constructors, i.e. $\Option~A \defas [\Some:A|\None]$.
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\begin{definition} The option monad is a monad equipped with a single
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failure operation.
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%
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\[
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\ba{@{~}l@{\qquad}@{~}r}
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\multicolumn{2}{l}{T~A \defas \Option~A} \smallskip\\
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\multirow{2}{*}{
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\bl
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\Return : A \to T~A\\
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\Return \defas \lambda x.\Some~x
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\el} &
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\multirow{2}{*}{
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\bl
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\bind ~: T~A \to (A \to T~B) \to T~B\\
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\bind ~\defas \lambda m.\lambda k.\Case\;m\;\{\None \mapsto \None;\Some~x \mapsto k~x\}
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\el}\\ & \smallskip\\
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\multicolumn{2}{l}{
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\bl
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\fail : A \to T~A\\
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\fail \defas \lambda x.\None
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\el}
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\ea
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\]
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%
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\end{definition}
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\subsection{State monad}
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\subsection{Continuation monad}
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As in J.R.R. Tolkien's fictitious Middle-earth~\cite{Tolkien54} there
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exists one monad to rule them all, one monad to realise them, one
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monad to subsume them all, and in the term language bind them. This
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powerful monad is the \emph{continuation monad}.
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\begin{definition}
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The continuation monad is defined over some fixed return type
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$R$~\cite{Wadler92}.
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%
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\[
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\ba{@{~}l@{\qquad\quad}@{~}r}
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\multicolumn{2}{l}{T~A \defas (A \to R) \to R} \smallskip\\
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\multirow{2}{*}{
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\bl
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\Return : A \to T~A\\
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\Return \defas \lambda x.\lambda k.k~x
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\el} &
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\multirow{2}{*}{
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\bl
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\bind ~: T~A \to (A \to T~B) \to T~B\\
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\bind ~\defas \lambda m.\lambda k.\lambda f.m~(\lambda x.k~x~f)
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\el} \\ & % space hack to avoid the next paragraph from
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% floating into the math environment.
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\ea
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\]
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%
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\end{definition}
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%
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The $\Return$ operation lifts a value into the monad by using it as an
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argument to the continuation $k$. The bind operator applies the monad
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$m$ to an anonymous function that accepts a value $x$ of type
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$A$. This value $x$ is supplied to the immediate continuation $k$
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alongside the current continuation $f$.
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Scheme's undelimited control operator $\Callcc$ is definable as a
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monadic operation on the continuation monad~\cite{Wadler92}.
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%
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\[
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\bl
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\Callcc : ((A \to T~B) \to T~A) \to T~A\\
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\Callcc \defas \lambda f.\lambda k. f\,(\lambda x.\lambda.k'.k~x)~k
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\el
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\]
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\subsection{Free monad}
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Just like other monads the free monad satisfies the monad laws,
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however, unlike other monads the free monad does not perform any
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computation \emph{per se}. Instead the free monad builds an abstract
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representation of the computation in form of a computation tree, whose
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interior nodes correspond to an invocation of some operation on the
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monad, where each outgoing edge correspond to a possible continuation
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of the operation; the leaves correspond to return values. The meaning
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of a free monadic computation is ascribed by a separate function, or
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interpreter, that traverses the computation tree.
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The shape of computation trees is captured by the following generic
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type definition.
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%
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\[
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\Free~F~A \defas [\return:A|\OpF:F\,(\Free~F~A)]
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\]
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%
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The type constructor $\Free$ takes two type arguments. The first
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parameter $F$ is itself a type constructor of kind
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$\TypeCat \to \TypeCat$. The second parameter is the usual type of
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values computed by the monad. The $\Return$ tag creates a leaf of the
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computation tree, whilst the $\OpF$ tag creates an interior node. In
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the type signature for $\OpF$ the type variable $F$ is applied to the
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$\Free$ type. The idea is that $F~K$ computes an enumeration of the
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signatures of the possible operations on the monad, where $K$ is the
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type of continuation for each operation. Thus the continuation of an
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operation is another computation tree node.
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%
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\begin{definition} The free monad is a triple
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$(F^{\TypeCat \to \TypeCat}, \Return, \bind)$ which forms a monad
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with respect to $F$. In addition an adequate instance of $F$ must
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supply a map, $\dec{fmap} : (A \to B) \to F~A \to F~B$, over its
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structure.
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%
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\[
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\bl
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T~A \defas \Free~F~A \smallskip\\
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\Return : A \to T~A\\
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\Return \defas \lambda x.\return~x\\
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\bind ~: T~A \to (A \to T~B) \to T~B\\
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\bind ~\defas \lambda m.\lambda k.\Case\;m\;\{\return~x \mapsto k~x;\OpF~y \mapsto \OpF\,(\fmap\,(\lambda m'. m' \bind k)\,y)\}
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\el
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\]
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%
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We define an auxiliary function to alleviate some of the
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boilerplate involved with performing operations on the monad.
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%
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\[
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\bl
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\DoF : F~A \to \Free~F~A\\
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\DoF \defas \lambda op.\OpF\,(\fmap\,(\lambda x.\return~x)\,op)
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\el
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\]
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%
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\end{definition}
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\[
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\bl
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\dec{FreeState}~S~R \defas [\Get:S \to R|\Put:\Record{S;R}|\Done] \smallskip\\
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\fmap~f~x \defas \Case\;x\;\{
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\bl
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\Get~k \mapsto \Get\,(\lambda st.f\,(k~st));\\
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\Put~st'~k \mapsto \Put\,\Record{st';f~k};\\
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\Done \mapsto \Done\}
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\el \smallskip\\
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\getF : \UnitType \to T~S\\
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\getF~\Unit \defas \DoF~(\Get\,(\lambda x.x)))\\
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\putF : S \to T~\UnitType\\
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\putF~st \defas \DoF~(\Put\,\Record{st;\Unit})
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\el
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\]
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\subsection{Direct-style revolution}
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\section{Contributions}
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The key contributions of this dissertation are the following:
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\begin{itemize}
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@@ -432,7 +617,7 @@ The key contributions of this dissertation are the following:
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notions of continuations and first-class control phenomena.
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\end{itemize}
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\section{Thesis outline}
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\section{Structure of this dissertation}
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Chapter~\ref{ch:maths-prep} defines some basic mathematical
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notation and constructions that are they pervasively throughout this
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dissertation.
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@@ -8063,7 +8248,7 @@ $\Co$-operations have been handled.
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%
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In the definition the scheduler state is bound by the name $st$.
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The $\return$ case is invoked when a process completes. The return
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The $\Return$ case is invoked when a process completes. The return
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value $x$ is paired with the identifier of the currently executing
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process and consed onto the list $done$. Subsequently, the function
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$\runNext$ is invoked in order to the next ready process.
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@@ -16288,19 +16473,22 @@ handlers only get amplified in the setting of multi handlers.
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\paragraph{Handling linear resources} The implementation of effect
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handlers in Links makes the language unsound, because the \naive{}
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combination of effect handlers and session typing is unsound. For
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instance, it is possible to break session fidelity by twice resuming
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some resumption that closes over a receive operation. Similarly, it is
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possible to break type safety by using a combination of exceptions and
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multi-shot resumptions, e.g. suppose some channel first expects an
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integer followed by a boolean, then the running the program
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combination of effect handlers and session typing is unsound. The
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combined power of being able to discard some resumptions and resume
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others multiple times can make for bad interactions with sessions. For
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instance, suppose some channel supplies only one value, then it is
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possible to break session fidelity by twice resuming some resumption
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that closes over a receive operation. Similarly, it is possible to
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break type safety by using a combination of exceptions and multi-shot
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resumptions, e.g. suppose some channel first expects an integer
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followed by a boolean, then the running the program
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$\Do\;\Fork\,\Unit;\keyw{send}~42;\Absurd\;\Do\;\Fail\,\Unit$ under
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the composition of the nondeterminism handler and default failure
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handler from Chapter~\ref{ch:unary-handlers} will cause the primitive
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$\keyw{send}$ operation to supply two integers in succession, thus
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breaking the session protocol. Figuring out how to safely combine
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linear resources, such as channels, and effect handlers with
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multi-shot resumptions is an interesting unsolved problem.
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linear resources, such as channels, and handlers with multi-shot
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resumptions is an interesting unsolved problem.
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\section{Canonical implementation strategies for handlers}
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Chapter~\ref{ch:cps} carries out a comprehensive study of CPS
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