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@ -137,6 +137,7 @@ be able to put a map inside a map. This will allow us to represent the
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\(\text{Info}\) lattice, which is a map of maps.
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\(\text{Info}\) lattice, which is a map of maps.
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### The Map Lattice
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### The Map Lattice
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#### The Theory
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When I say "map", what I really means is something that associates keys with
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When I say "map", what I really means is something that associates keys with
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values, like [dictionaries in Python](https://docs.python.org/3/tutorial/datastructures.html#dictionaries).
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values, like [dictionaries in Python](https://docs.python.org/3/tutorial/datastructures.html#dictionaries).
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@ -234,6 +235,278 @@ those that are in one set __or__ the other. Thus, using union here fits our
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notion of how the \((\sqcup)\) operator behaves.
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notion of how the \((\sqcup)\) operator behaves.
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{#union-as-or}
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{#union-as-or}
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Now, let's take a look at the \((\sqcap)\) operator. For two maps \(m_1\) and
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\(m_2\), the meet of those two maps, \(m_1 \sqcap m_2\) should be less than
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or equal to both. Our definition above requires that each key of the smaller
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map is present in the larger map; for the combination of two maps to be
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smaller than both, we must ensure that it only has keys present in both maps.
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To combine the elements from the two maps, we can use the \((\sqcap)\) operator
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on values.
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{{< latex >}}
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(m_1 \sqcap m_2)[k] = m_1[k] \sqcap m_2[k]
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{{< /latex >}}
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Turning once again to set theory, we can think of this operation like the
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extension of the intersection operator \((\cup)\) to maps. This can be
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motivated in the same way as the union operation above; the \((\sqcap)\)
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operator combines lattice elements in such away that the result represents
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both of them, and intersections of sets contain elements that are in __both__
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sets.
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Now we have the the two binary operators and the comparison function in hand.
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There's just one detail we're missing: what it means for two maps to be
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equivalent. Here, once again we take our cue from set theory: two sets are
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said to be equal when each one is a subset of the other. Mathematically, we can
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write this as follows:
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{{< latex >}}
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m_1 \approx m_2 \triangleq m_1 \subseteq m_2 \land m_1 \supseteq m_2
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{{< /latex >}}
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I might as well show you the Agda definition of this, since it's a word-for-word
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transliteration:
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 530 531 >}}
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Okay, but we haven't actually defined what it means for one map to be a subset
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of another. My definition is as follows: if \(m_1 \subseteq m_2\), that is,
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if \(m_1\) is a subset of \(m_2\), then every key in \(m_1\) is also present
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in \(m_2\), and they are mapped to the same value. My first stab at
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a mathematical definition of this is the following:
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{{< latex >}}
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m_1 \subseteq m_2 \triangleq \forall k, v.\ (k, v) \in m_1 \Rightarrow (k, v) \in m_2
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{{< /latex >}}
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Only there's a slight complication; remember that our values themselves come
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from a lattice, and that this lattice might use its own equivalence operator
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\((\approx)\) to group similar elements. One example where this is important
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is our now-familiar "map of maps" scenario: the values store in the "outer"
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map are themselves maps, and we don't want the order of the keys or other
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menial details of the inner maps to influence whether the outer maps are equal.
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Thus, we settle for a more robust definition of \(m_1 \subseteq m_2\)
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that allows \(m_1\) to have different-but-equivalent values from those
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in \(m_2\).
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{{< latex >}}
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m_1 \subseteq m_2 \triangleq \forall k, v.\ (k, v) \in m_1 \Rightarrow \exists v'.\ v \approx v' \land (k, v') \in m_2
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{{< /latex >}}
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In Agda, the core of my definition is once again very close:
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 98 99 >}}
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#### The Implementation
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Now it's time to show you how I implemented the Map lattice. I chose
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represent maps using a list of key-value pairs, along with a condition
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that the keys are unique (non-repeating). I chose this definition because
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it was simple to implement, and because it makes it possible to iterate
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over the keys of a map. That last property is useful if we use the maps
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to later represent sets (which I did). Moreover, lists of key-value pairs are
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easy to serialize and write to disk. This isn't hugely important for my
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immediate static program analysis needs, but it might be nice in the future.
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The requirement that the keys are unique prevents the map from being a multi-map
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(which might have several values associated with a particular key).
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My `Map` module is parameterized by the key and value types (`A` and `B`
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respectively), and additionally requires some additional properties to
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be satisfied by these types.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 6 10 >}}
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For `A`, the key property is the
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[decidability](https://en.wikipedia.org/wiki/Decidability_(logic)) of
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equality: there should be a way to compare keys for equality. This is
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important for all sorts of map operations. For example, when inserting a new
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value into a map, we need to decide if the value is already present (so that
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we know to override it), but if we can't check if two values are equal, we
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can't see if it's already there.
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The values of the map (represented by `B`) we expected to be lattices, so
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we require them to provide the lattice operations \((\sqcup)\) and \((\sqcap)\),
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as well as the equivalence relation \((\approx)\) and the proof of the lattice
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properties in `isLattice`. To distinguish the lattice operations on `B`
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from the ones we'll be defining on the map itself -- you might've
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noticed that there's a bit of overleading going on in this post -- I've
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suffixed them with the subscript `2`. My convention is to use the subscript
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corresponding to the number of the type parameter. Here, `A` is "first" and `B`
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is "second", so the operators on `B` get `2`.
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From there, I define the map as a pair; the first component is the list of
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key-value pairs, and the second is the proof that all the keys in the
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list occur only once.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 480 481 >}}
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Now, to implement union and intersection; for the most part, the proofs deal
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just with the first component of the map -- the key-value pairs. For union,
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the key operation is "insert-or-combine". We can think of merging two maps
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as inserting all the keys from one map (arbitrary, the "left") into the
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other. If a key is not in the "left" map, insertion won't do anything to its
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prior value in the right map; similarly, if a key is not in the "right" map,
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then it should appear unchanged in the final result after insertion. Finally,
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if a key is inserted into the "right" map, but already has a value there, then
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the two values need to be combined using `_⊔₂_`. This leads to the following
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definition of `insert` on key-value pair lists:
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 114 118 >}}
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Above, `f` is just a stand-in for `_⊓₂_` (making the definition a tiny bit more general).
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For each element in the "right" key-value list, we check if its key matches
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the one we're inserting; if it does, we have to combine the values, and
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there's no need to recurse into the rest of the list. If on the other hand
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the key doesn't match, we move on to the next element of the list. If we
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run out of elements, we know that the key we're inserting wasn't in the "right"
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map, so we insert it as-is.
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The union operation is just about inserting every pair from one map into another.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 120 121 >}}
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Here, I defined my own version of `foldr` which unpacks the pairs, for
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convenience:
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 110 112 "" "**(Click here to see the definition of my `foldr`)**" >}}
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For intersection, we do something similar; however, since only elements in
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_both_ maps should be in the final output, if our "insertion" doesn't find
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an existing key, it should just fall through; this can be achieved by defining
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a version of `insert` whose base case simply throws away the input. Of course,
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this function should also use `_⊓₂_` instead of `_⊔₂_`; below, though, I again
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use a general function `f` to provide a more general definition. I called this
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version of the function `update`.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 295 299 >}}
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Just changing `insert` to `update` is not enough. It's true that calling
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`update` with all keys from `m1` on `m2` would forget all keys unique to `m1`,
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it would still leave behind the only-in-`m2` keys. To get rid of these, I
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defined another function, `restrict`, that drops all keys in its second
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argument that aren't present in its first argument.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 304 308 >}}
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Altogether, intesection is defined as follows, where `updates` just
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calls `update` for every key-value pair in its first argument.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 310 311 >}}
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The next hurdle is all the proofs about these implementations. I will
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leave the details of the proofs either as appendices or as links to
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other posts on this site.
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The first key property is that the insertion, union, update, and intersection operations all
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preserve uniqueness of keys; the [proofs for this are here](#appendix-proof-of-uniqueness-of-keys).
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The set of properties are the lattice laws for union and intersection.
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The proofs of those proceed by cases; to prove that \((\sqcup)\) is
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commutative, we reason that if \((k , v) \in m_1 \sqcup m_2\), then it must be
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either in \(m_1\), in \(m_2\), or in both; for each of these three possible
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cases, we can show that \((k , v)\) must be the same in \(m_2 \sqcup m_1\).
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Things get even more tedious for proofs of associativity, since there are
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7 cases to consider; I describe the strategy I used for such proofs
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in my [article about the "Expression" pattern]({{< relref "agda_expr_pattern" >}})
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in Agda.
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### Additional Properties of Lattices
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The product and map lattices are the two pulling the most weight in my
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implementation of program analyses. However, there's an additional property
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that they have: if the lattices they are made of have a _finite height_,
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then so do products and map lattices themselves. A lattice having a finite
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height means that we can only line up so many elements using the less-than
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operator `<`. For instance, the natural numbers are _not_ a finite-height lattice;
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we can create the infinite chain:
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{{< latex >}}
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0 < 1 < 2 < ...
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{{< /latex >}}
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On the other hand, our sign lattice _is_ of finite height; the longest chains
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we can make have three elements and two `<` signs. Here's one:
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{{< latex >}}
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\bot < + < \top
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{{< /latex >}}
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As a result of this, _pairs_ of signs also have a finite height; the longest
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chains we can make have five elements and four `<` signs.
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{{< sidenote "right" "example-note" "An example:" >}}
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Notice that the elements in the example progress the same way as the ones
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in the single-sign chain. This is no accident; the longest chains in the
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pair lattice can be constructed from longest chains of its element
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lattices. The length of the product lattice chain, counted by the number of
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"less than" signs, is the sum of the lengths of the element chains.
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{{< /sidenote >}}
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{{< latex >}}
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(\bot, \bot) < (\bot, +) < (\bot, \top) < (+, \top) < (\top, \top)
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{{< /latex >}}
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The same is true for maps, under certain conditions.
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The finite-height property is crucial to lattice-based static program analysis;
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we'll talk about it in more detail in the next post of this series.
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{{< todo >}}
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{{< todo >}}
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I started using 'join' but haven't introduced it before.
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I started using 'join' but haven't introduced it before.
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{{< /todo >}}
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{{< /todo >}}
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### Appendix: Proof of Uniqueness of Keys
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I will provide sketches of the proofs here, and omit the implementations
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of my lemmas. Click on the link in the code block headers to jump to their
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implementation on my Git server.
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First, note that if we're inserting a key that's already in a list, then the keys of that list are unchanged.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 123 124 >}}
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On the other hand, if we're inserting a new key, it ends up at the end, and
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the rest of the keys are unchanged.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 134 135 >}}
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Then, for any given key-value pair, the key either is or isn't in the list we're
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inserting it into. If it is, then the list ends up unchanged, and remains
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unique if it was already unique. On the other hand, if it's not in the list,
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then it ends up at the end; adding a new element to the end of a unique
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list produces another unique list. Thus, in either case, the final keys
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are unique.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 143 148 >}}
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By induction, we can then prove that calling `insert` many times as we do
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in `union` preserves uniqueness too. Here, `insert-preserves-Unique` serves
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as the inductive step.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 164 168 >}}
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For `update`, things are simple; it doesn't change the keys of the argument
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list at all, since it only modifies, and doesn't add new pairs. This
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is captured by the `update-keys` property:
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 313 314 >}}
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If the keys don't change, they obviously remain unique.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 328 330 >}}
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For `restrict`, we note that it only ever removes keys; as a result, if
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a key was not in the input to `restrict`, then it won't be in its output,
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either.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 337 338 >}}
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As a result, for each key of the list being restricted, we either drop it
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(which does not damage uniqueness) or we keep it; since we only remove
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keys, and since the keys were originally unique, the key we kept won't
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conflict with any of the other final keys.
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 345 351 >}}
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Since both `update` and `restrict` preserve uniqueness, then so does
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`intersect`:
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{{< codelines "Agda" "agda-spa/Lattice/Map.agda" 353 355 >}}
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@ -1 +1 @@
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Subproject commit df22cb2b87cf9bc1a9da372e17d4c4eedfc3efff
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Subproject commit a4bff7623dc7c4b05b59714d7b919857a876422c
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