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@ -185,24 +185,32 @@ D & \rightarrow \text{upperVar} \; L_Y \\
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\end{aligned}
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{{< /latex >}}
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Now that we have a grammar for all these things, we have to implement
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the corresponding data structures. We define a new family of structs,
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extending `parsed_type`, which represent types as they are
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Those are all the changes we have to make to our grammar. Let's now move on to implementing
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the corresponding data structures. We define a new family of structs, which represent types as they are
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received from the parser. These differ from regular types in that they
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do not require that the types they represent are valid; validating
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types requires two passes, which is a luxury we do not have when
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parsing. We can define them as follows:
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do not necessarily represent valid types; validating types requires two passes, whereas parsing is
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done in a single pass. We can define our parsed types as follows:
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{{< codeblock "C++" "compiler/11/parsed_type.hpp" >}}
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We define the conversion function `to_type`, which requires
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a set of type variables quantified in the given type, and
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the environment in which to look up the arities of various
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type constructors. The implementation is as follows:
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We define the conversion method `to_type`, which requires
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a set of type variables that are allowed to occur within a parsed
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type (which are the variables specified on the left of the `=`
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in the data type declaration syntax), and the environment in which to
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look up the arities of any type constructors. The implementation is as follows:
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{{< codeblock "C++" "compiler/11/parsed_type.cpp" >}}
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With this definition in hand, we can now update the grammar in our Bison file.
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Note that this definition requires a new `type` subclass, `type_app`, which
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represents type application. Unlike `parsed_type_app`, it stores a pointer
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to the type constructor being applied, rather than its name. This
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helps validate the type (by making sure the parsed type's name refers to
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an existing type constructor), and lets us gather information like
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which constructors the resulting type has. We define this new type as follows:
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{{< codelines "C++" "compiler/11/type.hpp" 70 78 >}}
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With our new data structures in hand, we can now update the grammar in our Bison file.
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First things first, we'll add the type parameters to the data type definition:
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{{< codelines "plaintext" "compiler/11/parser.y" 127 130 >}}
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@ -211,10 +219,179 @@ Next, we add the new grammar rules we came up with:
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{{< codelines "plaintext" "compiler/11/parser.y" 138 163 >}}
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Note in the above rules that even for `typeListElement`, which
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can never be applied to any arguments, we still attach a `parsed_type_app`
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as the semantic value. This is for consistency; it's easier to view
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all types in our system as applications to zero or more arguments,
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than to write coercions from non-applied types to types applied to zero
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arguments.
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Finally, we define the types for these new rules at the top of the file:
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{{< codelines "plaintext" "compiler/11/parser.y" 43 44 >}}
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{{< todo >}}
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Nullary is not the right word.
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{{< /todo >}}
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This concludes our work on the parser, but opens up a whole can of worms
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elsewhere. First of all, now that we introduced a new `type` subclass, we must
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ensure that type unification still works as intended. We therefore have
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to adjust the `type_mgr::unify` method:
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{{< codelines "C++" "compiler/11/type.cpp" 95 132 >}}
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In the above snippet, we add a new if-statement that checks whether or
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not both types being unified are type applications, and if so, unifies
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their constructors and arguments. We also extend our type equality check
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to ensure that both the names _and_ arities of types match
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{{< sidenote "right" "type-equality-note" "when they are compared for equality." >}}
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This is actually a pretty silly measure. Consider the following three
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propositions:
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1) types are only declared at the top-level scope.
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2) if a type is introduced, and another type with that name already exists, we throw an error.
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3) for name equality to be insufficient, we need to have two declared types
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with the same name. Given these propositions, it will not be possible for us to
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declare two types that would confuse the name equality check. However,
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in the near future, these propositions may not all hold: if we allow
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<code>let/in</code> expressions to contain data type definitions,
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it will be possible to declare two types with the same name and arity
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(in different scopes), which would <em>still</em> confuse the check.
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In the future, if this becomes an issue, we will likely move to unique
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type identifiers.
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{{< /sidenote >}} Note also the more basic fact that we added arity
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to our `type_base`,
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{{< sidenote "left" "base-arity-note" "since it may now be a type constructor instead." >}}
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You may be wondering, why did we add arity to base types, rather than data types?
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Although so far, our language can only create type constructors from data type definitions,
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it's possible (or even likely) that we will have
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polymorphic built-in types, such as
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<a href="https://www.haskell.org/tutorial/io.html">the IO monad</a>.
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To prepare for this, we will allow our base types to be type constructors too.
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{{< /sidenote >}}
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Jut as we change `type_mgr::unify`, we need to change `type_mgr::find_free`
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to include the new case of `type_app`. The adjusted function looks as follows:
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{{< codelines "C++" "compiler/11/type.cpp" 174 187 >}}
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There another adjustment that we have to make to our type code. Recall
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that we had code that implemented substitutions: replacing free variables
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with other types to properly implement our type schemes. There
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was a bug in that code, which becomes much more apparent when the substitution
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system is put under more pressure. Specifically, the bug was in how type
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variables were handled.
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The old substitution code, when it found that a type
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variable had been bound to another type, always moved on to perform
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a substitution in that other type. This wasn't really a problem then, since
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any type variables that needed to be substituted were guaranteed to be
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free (that's why they were put into the "forall" quantifier). However, with our
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new system, we are using user-provided type variables (usually `a`, `b`, and so on),
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which have likely already been used by our compiler internally, and thus have
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been bound to something. That something is irrelevant to us: when we
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perform a substitution on a user-defined data type, we _know_ that _our_ `a` is
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free, and should be substitited. In short, precedence should be given to
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substituting type variables, rather than resolving them to what they are bound to.
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To make this adjustment possible, we need to make `substitute` a method of `type_manager`,
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since it will now require an awareness of existing type bindings. Additionally,
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this method will now perform its own type resolution, checking if a type variable
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needs to be substitited between each step. The whole code is as follows:
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{{< codelines "C++" "compiler/11/type.cpp" 134 165 >}}
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That's all for types. Definitions, though, need some work. First of all,
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we've changed our parser to feed our `constructor` type a vector of
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`parsed_type_ptr`, rather than `std::string`. We therefore have to update
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`constructor` to receive and store this new vector:
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{{< codelines "C++" "compiler/11/definition.hpp" 13 20 >}}
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Similarly, `definition_data` itself needs to accept the list of type
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variables it has:
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{{< codelines "C++" "compiler/11/definition.hpp" 54 70 >}}
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We then look at `definition_data::insert_constructors`, which converts
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`constructor` instances to actual constructor functions. The code,
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which is getting pretty complciated, is as follows:
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{{< codelines "C++" "compiler/11/definition.cpp" 64 92 >}}
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In the above snippet, we do the following things:
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1. We first create a set of type variables that can occur
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in this type's constructors (the same set that's used
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by the `to_type` method we saw earlier). While doing this, we ensure
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a type variable is not used twice (this is not allowed), and add each
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type variable to the final return type (which is something like `List a`),
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in the order they occur.
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2. When the variables have been gathered into a set, we iterate
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over all constructors, and convert them into types by calling `to_type`
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on their arguments, and assemble the resulting argument types into a function.
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This is not enough, however,
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{{< sidenote "right" "type-variables-note" "since constructors of types that accept type variables are polymorphic," >}}
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This is also not enough because without generalization using "forall", we are risking using type variables
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that have already been bound, or that will be bound. Even if <code>a</code> has not yet been used by the typechecker,
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it will be once the type manager generates its first type variable, and things will go south. If we, for some reason,
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wanted type constructors to be monomorphic (but generic, with type variables) we'd need to internally
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instnatiate fresh type variables for every user-defined type variable, and substitute them appropriately.
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{{< /sidenote >}}
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as we have discussed above with \\(\\text{Nil}\\) and \\(\\text{Cons}\\).
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To accomodate for this, we also add all type variables we've used to the "forall" quantifier
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of a new type scheme, whose monotype is the result of our calls to `to_type`.
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This is the last major change we have to perform. The rest is cleanup: we have switched
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our system to dealing with type applications (sometimes with zero arguments), and we must
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bring the rest of the compiler up to speed with this change. For instance, we update
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`ast_int` to create a reference to an existing integer type during typechecking:
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{{< codelines "C++" "compiler/11/ast.cpp" 20 22 >}}
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Similarly, we update our code in `typecheck_program` to use
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type applications in the type for binary operations:
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{{< codelines "C++" "compiler/11/main.cpp" 31 37 >}}
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Finally, we update `ast_case` to unwrap type applications to get the needed constructor
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data from `type_data`. This has to be done in `ast_case::typecheck`, as follows:
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{{< codelines "C++" "compiler/11/ast.cpp" 163 168 >}}
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Additionally, a similar change needs to be made in `ast_case::compile`:
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{{< codelines "C++" "compiler/11/ast.cpp" 174 175 >}}
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That should be all! Let's try an example:
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{{< rawblock "compiler/11/examples/works3.txt" >}}
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The output:
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```
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Result: 6
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```
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Yay! Not only were we able to define a list of any type, but our `length` function correctly
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determined the lengths of two lists of different types! Let's try an example with the
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classic [`fold` functions](http://learnyouahaskell.com/higher-order-functions#folds):
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{{< rawblock "compiler/11/examples/list.txt" >}}
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We expect the sum of the list `[1,2,3,4]` to be `10`, and its length to be `4`, so the sum
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of the two should be `14`. And indeed, our program agrees:
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```
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Result: 14
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```
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Let's do one more example, to test types that take more than one type parameter:
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{{< rawblock "compiler/11/examples/pair.txt" >}}
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Once again, the compiled program gives the expected result:
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```
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Result: 4
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```
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This looks good! We have added support for polymorphic data types to our compiler.
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We are now free to move on to `let/in` expressions, __lambda functions__, and __Input/Output__,
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as promised! I'll see you then!
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