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Final example
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14
thesis.bib
14
thesis.bib
@@ -2005,6 +2005,20 @@
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year = {1994}
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}
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# marker and callpc
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@inproceedings{MoreauQ94,
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author = {Luc Moreau and
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Christian Queinnec},
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title = {Partial Continuations as the Difference of Continuations - {A} Duumvirate
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of Control Operators},
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booktitle = {{PLILP}},
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series = {{LNCS}},
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volume = {844},
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pages = {182--197},
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publisher = {Springer},
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year = {1994}
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}
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# Comparison of (some) delimited control operators
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@misc{Shan04,
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author = {Chung{-}chieh Shan},
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92
thesis.tex
92
thesis.tex
@@ -4361,6 +4361,11 @@ $k$ restores the context with the prompt. The $\abort$ application
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erases the evaluation context up to this prompt, however, the body of
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the functional argument to $\abort$ reinvokes the continuation $k$
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which restores the prompt context once again.
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\citet{MoreauQ94} proposed a variation of splitter called
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\emph{marker}, which is also built on top of multi-prompt
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semantics. The key difference is that the control reifier strips the
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reified context of all prompts.
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% \begin{derivation}
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% &1 + \splitter\,(\lambda p.2 + \splitter\,(\lambda p'.3 + \calldc\,\Record{p';\lambda k. k\,0 + \calldc\,\Record{p';\lambda k'. k\,(k'\,1)}}))), \emptyset\\
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% \reducesto& \reason{\slab{AppSplitter}}\\
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@@ -4437,9 +4442,44 @@ continuation. This continuation gets passed to the functional value of
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the control expression. The captured continuation contains the label
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$\ell$, and as specified by the $\slab{Resume}$ rule an invocation of
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the continuation causes this label to be reinstalled.
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% concas structured
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% alternative for using undelimited continuations, such as provided by
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% callcc, in concurrent programming
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The following example usage of $\Spawn$ is a slight variation on an
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example due to \citet{HiebDA94}.
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%
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\begin{derivation}
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& 1 \cons (\Spawn\,(\lambda c. 2 \cons (c\,(\lambda k. 3 \cons k\,(k\,\nil))))), \emptyset\\
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\reducesto& \reason{\slab{AppSpawn}}\\
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&1 \cons (\ell : (\lambda c. 2 \cons (c\,(\lambda k. 3 \cons k\,(k\,\nil))))\,(\lambda f.f \reflect \ell)), \{\ell\}\\
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\reducesto& \reason{$\beta$-reduction}\\
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&1 \cons (\ell : 2 \cons ((\lambda f.f \reflect \ell)\,(\lambda k. 3 \cons k\,(k\,\nil)))), \{\ell\}\\
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\end{derivation}
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%
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\begin{derivation}
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\reducesto& \reason{$\beta$-reduction}\\
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&1 \cons (\ell : 2 \cons ((\lambda k. 3 \cons k\,(k\,\nil)) \reflect \ell)), \{\ell\}\\
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\reducesto& \reason{\slab{Capture} $\EC = 2 \cons [\,]$}\\
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& 1 \cons 3 \cons \qq{\cont_{\EC}}\,(\qq{\cont_{\EC}}\,\nil), \{\ell\}\\
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\reducesto& \reason{\slab{Resume} $\EC$ with $\nil$}\\
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&1 \cons 3 \cons \qq{\cont_{\EC}}\,(\ell : 2 \cons \nil), \{\ell\}\\
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\reducesto^+& \reason{\slab{Value}}\\
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&1 \cons 3 \cons \qq{\cont_{\EC}}\,[2], \{\ell\}\\
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\reducesto^+& \reason{\slab{Resume} $\EC$ with $[2]$}\\
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&1 \cons 3 \cons (\ell : 2 \cons [2]), \{\ell\}\\
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\reducesto^+& \reason{\slab{Value}}\\
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&1 \cons 3 \cons [2,2], \{\ell\} \reducesto^+ [1,3,2,2], \{\ell\}
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\end{derivation}
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%
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When the controller $c$ is invoked the current continuation is
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$1 \cons (\ell : 2 \cons [\,])$. The control expression reifies the
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$\ell : 2 \cons [\,]$ portion of the continuation and binds it to
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$k$. The first invocation of $k$ reinstates the reified portion and
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computes the singleton list $[2]$ which is used as argument to the
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second invocation of $k$.
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Both \citet{HiebD90} and \citet{HiebDA94} give several concurrent
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programming examples with spawn. They show how
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parallel-or~\cite{Plotkin77} can be codified as a macro using spawn
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(and a parallel invocation primitive \emph{pcall}).
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\paragraph{\citeauthor{Sitaram93}'s fcontrol} The control operator
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`fcontrol' was introduced by \citet{Sitaram93} in 1993. It is a
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@@ -4817,7 +4857,7 @@ gets stuck as either $\Choose$ or $\Fail$, or both, would be
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unhandled. Thus, we have to run the computation in the context of both
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handlers. However, we have a choice to make as we can compose the
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handlers in either order. Let us first explore the composition, where
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$H_c$ is the outermost handler. Thus instantiate $H_c$ at type
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$H_c$ is the outermost handler. Thus we instantiate $H_c$ at type
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$\Option~\Bool$ and $H_f$ at type $\Bool$.
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%
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\begin{derivation}
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@@ -4830,6 +4870,8 @@ $\Option~\Bool$ and $H_f$ at type $\Bool$.
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& (\Handle\;(\Handle\;\EC[\True] \;\With\;H_f)\;\With\;H_c) \concat k~\False\\
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\reducesto & \reason{$\beta$-reduction}\\
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& (\Handle\;(\Handle\; \Do\;\Choose~\Unit \;\With\; H_f)\;\With\;H_c) \concat k~\False\\
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\end{derivation}
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\begin{derivation}
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\reducesto & \reason{\slab{Capture}, $\{\OpCase{\Choose}{\Unit}{k'} \mapsto \cdots\} \in H_c$, $\EC'' = (\Handle\;[\,]\;\cdots)$}\\
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& (k'~\True \concat k'~\False) \concat k~\False, \qquad \text{where $k' = \qq{\cont_{\Record{\EC'';H_c}}}$}\\
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\reducesto& \reason{\slab{Resume} with $\True$}\\
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@@ -5031,7 +5073,7 @@ first-order parameter.
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The function $\dec{odd}$ expects its environment to provide it with an
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implementation of a single operation of type $\Int \to \Bool$. The
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body of $\dec{odd}$ invokes, or queries, this operation twice with
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arguments $0$ and $1$, respectively. The results are then tested using
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arguments $0$ and $1$, respectively. The results are tested using
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exclusive-or.
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Now, let us implement the environment for $\dec{odd}$.
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@@ -5051,18 +5093,16 @@ Now, let us implement the environment for $\dec{odd}$.
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\el
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\]
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%
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We allow ourselves to use recursive data types to make the example
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concise. Type $\dec{Dialogue}$ represents the dialogue between
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$\dec{odd}$ and its parameter. The data structure is a standard binary
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tree with two constructors: $!$ constructs a leaf holding a value of
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type $\Int$ and $?$ constructs an interior node holding a value of
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type $\Bool$ and two subtrees. The function $\dec{env}$ implements the
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environment that $\dec{odd}$ will be run in. This function evaluates
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its parameter $m$ under $\Catchcont$ which injects the operation
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$f$. If $m$ returns, then the left component gets tagged with $!$,
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otherwise the argument to the operation $q$ gets tagged with a $?$
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along with the subtrees constructed by the two recursive applications
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of $\dec{env}$.
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Type $\dec{Dialogue}$ represents the dialogue between $\dec{odd}$ and
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its parameter. The data structure is a standard binary tree with two
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constructors: $!$ constructs a leaf holding a value of type $\Int$ and
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$?$ constructs an interior node holding a value of type $\Bool$ and
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two subtrees. The function $\dec{env}$ implements the environment that
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$\dec{odd}$ will be run in. This function evaluates its parameter $m$
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under $\Catchcont$ which injects the operation $f$. If $m$ returns,
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then the left component gets tagged with $!$, otherwise the argument
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to the operation $q$ gets tagged with a $?$ along with the subtrees
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constructed by the two recursive applications of $\dec{env}$.
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%
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% The primitive structure of catchcont makes it somewhat fiddly to
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% program with it compared to other control operators as we have to
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@@ -5071,6 +5111,14 @@ of $\dec{env}$.
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The following derivation gives the high-level details of how
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evaluation proceeds.
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%
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\begin{figure}
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\begin{center}
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\scalebox{1.3}{\SXORTwoModel}
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\end{center}
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\caption{Visualisation of the result obtained by
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$\dec{env}~\dec{odd}$.}\label{fig:decision-tree-cc}
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\end{figure}
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%
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\begin{derivation}
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&\dec{env}~\dec{odd}\\
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\reducesto^+ & \reason{$\beta$-reduction}\\
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@@ -5107,14 +5155,6 @@ Figure~\ref{fig:decision-tree-cc} visualises this result as a binary
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tree. The example here does not make use of the `continuation
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component', the interested reader may consult \citet{LongleyW08} for
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an example usage.
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%
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\begin{figure}
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\begin{center}
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\scalebox{1.3}{\SXORTwoModel}
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\end{center}
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\caption{Visualisation of the result obtained by
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$\dec{env}~\dec{odd}$.}\label{fig:decision-tree-cc}
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\end{figure}
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% \subsection{Second-class control operators}
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% Coroutines, async/await, generators/iterators, amb.
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@@ -19209,7 +19249,7 @@ language~\cite{Plotkin77}. It is also well known that the presence of
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control features or local state enables observational distinctions
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that cannot be made in a purely functional setting: for instance,
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there are programs involving call/cc that detect the order in which a
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(call-by-name) `+' operation evaluates its arguments
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(call-by-name) `$+$' operation evaluates its arguments
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\citep{CartwrightF92}. Such operations are `non-functional' in the
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sense that their output is not determined solely by the extension of
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their input (seen as a mathematical function
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