Introduction Wildcards

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Andreas Stadelmeier 2024-02-11 21:59:57 +01:00
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@ -16,6 +16,40 @@ The \fjtype{} algorithm calculates constraints based on this intermediate repres
which are then solved by the \unify{} algorithm which are then solved by the \unify{} algorithm
resulting in a correctly typed program (see figure \ref{fig:nested-list-example-typed}). resulting in a correctly typed program (see figure \ref{fig:nested-list-example-typed}).
We support capture conversion and Java style method calls.
This requires existential types in a form which is not denotable by Java syntax \cite{aModelForJavaWithWildcards}.
The algorithm is able find the correct type for the method \texttt{m} in the following example:
\begin{verbatim}
<X> Pair<X,X> make(List<X> l)
Boolean compare(Pair<X,X> p)
List<?> b;
Boolean m() = this.compare(this.make(b));
\end{verbatim}
We present a novel approach to deal with existential types and capture conversion during constraint unification.
The algorithm is split in two parts. A constraint generation step and an unification step.
We proof soundness and aim for a good compromise between completeness and time complexity.
Our algorithm finds a correct type solution for the following example, where the Java local type inference fails:
\begin{verbatim}
class SuperPair<A,B>{
A a;
B b;
}
class Pair<A,B> extends SuperPair<B,A>{
A a;
B b;
<X> X choose(X a, X b){ return b; }
String m(List<? extends Pair<Integer, String>> a, List<? extends Pair<Integer, String>> b){
return choose(choose(a,b).value.a,b.value.b);
}
}
\end{verbatim}
\begin{figure}[tp] \begin{figure}[tp]
\begin{subfigure}[t]{\linewidth} \begin{subfigure}[t]{\linewidth}
\begin{lstlisting}[style=fgj] \begin{lstlisting}[style=fgj]
@ -126,7 +160,17 @@ List<?> genList() {
% \texttt{List<Object>} is not a valid return type for the method \texttt{genList}. % \texttt{List<Object>} is not a valid return type for the method \texttt{genList}.
% The type inference algorithm has to find the correct type involving wildcards (\texttt{List<?>}). % The type inference algorithm has to find the correct type involving wildcards (\texttt{List<?>}).
\subsection{Global Type Inference}
A global type inference algorithm works on an input with no type annotations at all.
%TODO: Describe global type inference and lateron why it is so hard to
\subsection{Java Wildcards} \subsection{Java Wildcards}
Wildcards are expressed by a \texttt{?} in Java and can be used as parameter types.
Wildcards can be formalized as existential types \cite{WildFJ}.
\texttt{List<? extends Object>} and \texttt{List<? super String>} are both wildcard types
denoted in our syntax by $\wctype{\wildcard{X}{\type{Object}}{\bot}}{List}{\rwildcard{X}}$ and
$\wctype{\wildcard{X}{\type{Object}}{\type{String}}}{List}{\rwildcard{X}}$.
Wildcards add variance to Java type parameters. Wildcards add variance to Java type parameters.
In Java a \texttt{List<String>} is not a subtype of \texttt{List<Object>} In Java a \texttt{List<String>} is not a subtype of \texttt{List<Object>}
even though it seems intuitive with \texttt{String} being a subtype of \texttt{Object}. even though it seems intuitive with \texttt{String} being a subtype of \texttt{Object}.
@ -137,11 +181,66 @@ means \texttt{List<String>} is a subtype of \texttt{List<? extend Object>}.
The syntax used here allows for wildcard parameters to have a name, an uppper and lower bound at the same time, The syntax used here allows for wildcard parameters to have a name, an uppper and lower bound at the same time,
and a type they are bound to. and a type they are bound to.
In this case the name is $\rwildcard{X}$ and it's bound to the the type \texttt{List}. In this case the name is $\rwildcard{X}$ and it's bound to the the type \texttt{List}.
Those properties are needed to formalize capture conversion.
Polymorphic method calls need to be wraped in a process which \textit{opens} existential types \cite{addingWildcardsToJava}.
In Java this is done implicitly in a process called capture conversion.
When calling a polymorphic method like \texttt{<X> List<X> m(List<X> l1, List<X> l2)} with a \texttt{List<?>}
it is not possible to substitute \texttt{?} for \texttt{X}.
This would lead to the method header \texttt{List<?> m(List<?> l1, List<?> l2)}
where now a method invocation with \texttt{List<String>} and \texttt{List<Integer>} would be possible,
because both are subtypes of \texttt{List<?>}.
Capture conversion solves this problem by generating a fresh type variable for every wildcard.
Calling \texttt{<X> X head(List<X> l1)} with the type \texttt{List<?>} ($\wctype{\rwildcard{X}}{List}{\rwildcard{X}}$)
creates a fresh type variable $\rwildcard{Y}$ resulting in
$\generics{\rwildcard{Y}}\texttt{head}(\exptype{List}{\rwildcard{Y}})$
with $\rwildcard{Y}$ being used as generic parameter \texttt{X}.
The $\rwildcard{Y}$ in $\exptype{List}{\rwildcard{Y}}$ is a free variable now.
%TODO: Read taming wildcards and see if we solve some of the problems presented in section 5 and 6
% Additionally they can hold a upper or lower bound restriction like \texttt{List<? super String>}. % Additionally they can hold a upper or lower bound restriction like \texttt{List<? super String>}.
% Our representation of this type is: $\wctype{\wildcard{X}{\type{String}}{\type{Object}}}{List}{\rwildcard{X}}$ % Our representation of this type is: $\wctype{\wildcard{X}{\type{String}}{\type{Object}}}{List}{\rwildcard{X}}$
% Every wildcard has a name ($\rwildcard{X}$ in this case) and an upper and lower bound (respectively \texttt{Object} and \texttt{String}). % Every wildcard has a name ($\rwildcard{X}$ in this case) and an upper and lower bound (respectively \texttt{Object} and \texttt{String}).
% \subsection{Extensibility} % NOTE: this thing is useless, because final local variables do not need to contain wildcards
% In \cite{WildcardsNeedWitnessProtection} capture converson is made explicit with \texttt{let} statements.
% We chain let statements in a way that emulates Java behaviour. Allowing the example in \cite{aModelForJavaWithWildcards}
% % TODO: Explain the advantage of constraints and how we control the way capture conversion is executed
% But it would be also possible to alter the constraint generation step to include additional features.
% Final variables or effectively final variables could be expressed with a
% \begin{verbatim}
% <X> concat(List<X> l1, List<X> l2){...}
% \end{verbatim}
% \begin{minipage}{0.50\textwidth}
% Java:
% \begin{verbatim}
% final List<?> l = ...;
% concat(l, l);
% \end{verbatim}
% \end{minipage}%
% \begin{minipage}{0.50\textwidth}
% Featherweight Java:
% \begin{verbatim}
% let l : X.List<X> = ... in
% concat(l, l)
% \end{verbatim}
% \end{minipage}
\subsection{Challenges}\label{challenges} \subsection{Challenges}\label{challenges}
%TODO: Wildcard subtyping is infinite see \cite{TamingWildcards}
One problem is the divergence between denotable and expressable types in Java \cite{semanticWildcardModel}.
A wildcard in the Java syntax has no name and is bound to its enclosing type.
\texttt{List<List<?>>} equates to $\exptype{List}{\wctype{\rwildcard{X}}{List}{\rwildcard{X}}}$.
During type checking intermediate types like $\wctype{\rwildcard{X}}{List}{\exptype{List}{\rwildcard{X}}}$
or $\wctype{\rwildcard{X}}{Pair}{\rwildcard{X}, \rwildcard{X}}$ can emerge, which have no equivalent in the Java syntax.
Our type inference algorithm uses existential types internally but spawns type solutions compatible with Java.
The introduction of wildcards adds additional challenges. The introduction of wildcards adds additional challenges.
% we cannot replace every type variable with a wildcard % we cannot replace every type variable with a wildcard