Continue work on the type theory draft
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@ -229,4 +229,100 @@ const x: number = 1.1 + 1; // just fine!
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```
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That concludes the second round of real-world examples. Let's take a look at formalizing
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all of this mathematically.
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all of this mathematically. As a starting point, we can look at a rule that matches the TypeScript
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view of having only a single number type, \\(\\text{number}\\). This rule needs a little
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bit "more" than the ones we've seen so far; we can't just blindly give things in the
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form \\(a+b\\) the type \\(\\text{number}\\) (what if we're adding strings?). For our
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rule to behave in the way we have in mind, it's necessary for us to add _premises_.
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Before I explain any further, let me show you the rule.
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{{< latex >}}
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\frac{e_1:\text{number}\quad e_2:\text{number}}{e_1+e_2:\text{number}}
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{{< /latex >}}
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In the above (and elsewhere) we will use the metavariable \\(e\\) as a stand-in for
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any _expression_ in our source language. Expressions are things such as `1`,
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`x`, `1.0+someFunction(y)`, and so on. In other words, they're things we can evaluate
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to a value. For the moment, we will avoid rules for checking _statements_ (like `let x = 5;`).
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Rules like the above consist of premises (above the line) and conclusions (below the line).
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The conclusion is the claim / fact that we can determine from the rule. In this specific case,
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the conclusion is that \\(e_1+e_2\\) has type \\(\\text{number}\\).
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For this to be true, however, some conditions must be met; specifically, the sub-expressions
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\\(e_1\\) and \\(e_2\\) must themselves be of type \\(\\text{number}\\). These are the premises.
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Reading in plain English, we could pronounce this rule as:
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> If \\(e_1\\) and \\(e_2\\) have type \\(\\text{number}\\), then \\(e_1+e_2\\) has type \\(\\text{number}\\).
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Notice that we don't care what the left and right operands are (we say they can be any expression).
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We need not concern ourselves with how to compute _their_ type in this specific rule. Thus, the rule
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would work for expressions like `1+1`, `(1+2)+(3+4)`, `1+x`, and so on, provided other rules
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take care of figuring out the types of expressions like `1` and `x`. In this way, when we add
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a feature to our language, we typically only need to add one or two associated rules; the
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ones for other language features are typically unaffected.
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Just to get some more practice, let's take a look at a rule for adding strings.
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{{< latex >}}
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\frac{e_1:\text{string}\quad e_2:\text{string}}{e_1+e_2:\text{string}}
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{{< /latex >}}
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This rule is read as follows:
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> If \\(e_1\\) and \\(e_2\\) have type \\(\\text{string}\\), then \\(e_1+e_2\\) has type \\(\\text{string}\\).
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These rules generally work in other languages. Things get more complicated in languages like Java and Rust,
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where types for numbers are more precise (\\(\\text{int}\\) and \\(\\text{float}\\) instead of
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\\(\\text{number}\\)). In these languages, we need rules for both.
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{{< latex >}}
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\frac{e_1:\text{int}\quad e_2:\text{int}}{e_1+e_2:\text{int}}
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\quad\quad
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\frac{e_1:\text{float}\quad e_2:\text{float}}{e_1+e_2:\text{float}}
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{{< /latex >}}
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But then, we also saw that Java is perfectly fine with adding a float to an integer,
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and an integer to a float (the result is a float). Thus, we also add the following
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two rules (but only in the Java case, since, as we have seen, Rust disallows
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adding a float to an integer).
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{{< latex >}}
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\frac{e_1:\text{int}\quad e_2:\text{float}}{e_1+e_2:\text{float}}
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\quad\quad
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\frac{e_1:\text{float}\quad e_2:\text{int}}{e_1+e_2:\text{float}}
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{{< /latex >}}
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You might find this process of adding rules for each combination of operand
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types tedious, and I would agree. In general, if a language
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provides a lot of automatic conversions between types, we do _not_ explicitly
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provide rules for all of the possible scenarios. Rather, we'd introduce a general
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framework of subtypes, and then have a small number of rules that are responsible
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for converting expressions from one type to another. That way, we'd only need to list
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the integer-integer and the float-float rules. The rest would follow
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from the conversion rules.
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{{< todo >}}Cite/ reference subtype stuff {{< /todo >}}
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Subtyping, however, is quite a bit beyond the scope of a "basics"
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post. For the moment, we shall content ourselves with the tedious approach.
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Another thing to note is that we haven't yet seen rules for what programs are _incorrect_,
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and we never will. When formalizing type systems we rarely (if ever) explicitly enumerate
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cases that produce errors. Rather, we interpret the absence of matching rules to indicate
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that something is wrong. Since no rule has premises that match \\(e_1:\\text{float}\\) and \\(e_2:\\text{string}\\),
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we can infer that
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{{< sidenote "right" "float-string-note" "given the rules so far," >}}
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I'm trying to be careful here, since adding a float to a string
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is perfectly valid in Java (the float is automatically converted to
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a string, and the two are concatenated).
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{{< /sidenote >}}
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`1.0+"hello"` is invalid. The task of adding good type error messages, then,
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is usually a more practical concern, and is undertaken by compiler developers
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rather than type theorists. There are, of course, exceptions; check out,
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for instance, these papers on improving type error messages, as well
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as this tool that showed up only a week or two before I started writing
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this article.
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{{< todo >}}Cite/ reference type error stuff {{< /todo >}}
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I think this is all I wanted to cover in this part.
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