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-rw-r--r--tests/lean/Tutorial.lean297
-rw-r--r--tests/lean/lakefile.lean1
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diff --git a/tests/lean/Tutorial.lean b/tests/lean/Tutorial.lean
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+/- A tutorial about using Lean to verify properties of programs generated by Aeneas -/
+import Base
+
+open Primitives
+open Result
+
+namespace Tutorial
+
+/- # Simple Arithmetic Example -/
+
+/- As a first step, we want to consider the function below which performs
+ simple arithmetic. There are several things to note.
+ -/
+
+def mul2_add1 (x : U32) : Result U32 := do
+ let x1 ← x + x
+ let x2 ← x1 + (U32.ofInt 1)
+ ret x2
+
+/- # Machine integers
+ Because Rust programs manipulate machine integers which occupy a fixed
+ size in memory, we model integers with types like [U32], which are simply
+ bounded integers. [U32.ofInt 1] is simply the machine integer constant 1.
+
+ Because machine integers are bounded, arithmetic operations can fail, for instance
+ because of an overflow: this is the reason why the output of [mul2_add1] uses
+ the [Result] type.
+
+ You can see a definition or its type by using the #print and #check commands.
+ It is also possible to jump to definitions (right-click + "Go to Definition"
+ in VS Code).
+
+ For instance, you can see below that [U32] is defined in terms of a more generic
+ type [Scalar] (just move the cursor to the #print command below).
+
+ -/
+#print U32 -- This shows the definition of [U32]
+
+#check mul2_add1 -- This shows the type of [mul2_add1]
+#print mul2_add1 -- This show the full definition of [mul2_add1]
+
+/- # Syntax
+ We use a lightweight "do"-notation to write code which calls potentially failing
+ functions. In practice, all our function bodies start with a [do] keyword,
+ which indicates to Lean we want to use this lightweight syntax, and after
+ the do, instead of writing let-bindings as [let x1 := ...], we write them
+ as: [let x1 ← ...]. We also have lightweight notations for common operations
+ like the addition.
+
+ *Remark:* in order to type the left-arrow [←] you can type: [\l]. Generally
+ speaking, your editor can tell you how to type the symbols you see in .lean
+ files. For instance in VS Code, you can simply hover your mouse over the
+ symbol and a pop-up window will open displaying all the information you need.
+
+ For instance, in [let x1 ← x + x], the [x + x] expression desugars to
+ [Scalar.add x x] and the [let x1 ← ...] desugars to a call to [bind].
+
+ The definition of [bind x f] is worth investigating. It simply checks whether
+ [x : Result ...] successfully evaluated to some result, in which case it
+ calls [f] with this result, propagating the error otherwise.
+ -/
+#print Primitives.bind
+
+/- We show a desugared version of [mul2_add1] below: we remove the syntactic
+ sugar, and inline the definition of [bind] to make the matches over the
+ results explicit.
+ -/
+def mul2_add1_desugared (x : U32) : Result U32 :=
+ match Scalar.add x x with
+ | ret x1 => -- Success case
+ match Scalar.add x1 (U32.ofInt 1) with
+ | ret x2 => ret x2
+ | error => error
+ | error => error -- Propagating the errors
+
+/- Now that we have seen how [mul2_add1] is defined precisely, we can prove
+ simple properties about it. For instance, what about proving that it evaluates
+ to [2 * x + 1]?
+
+ We advise writing specifications in a Hoare-logic style, that is with
+ preconditions (requirements which must be satisfied by the inputs upon
+ calling the function) and postconditions (properties that we know about
+ the output after the function call).
+
+ In the case of [mul2_add1] we could state the theorem as follows.
+ -/
+
+theorem mul2_add1_spec
+ -- The input
+ (x : U32)
+ /- The precondition (we give it the name "h" to be able to refer to it in the proof).
+ We simply state that [2 * x + 1] must not overflow.
+
+ The ↑ notation (\u) is used to coerce values. Here, we coerce [x], which is
+ a bounded machine integer, to an unbounded mathematical integer. Note that
+ writing [↑ x] is the same as writing [x.val].
+ -/
+ (h : 2 * (↑ x) + 1 ≤ U32.max)
+ /- The postcondition -/
+ : ∃ y, mul2_add1 x = ret y ∧ -- The call succeeds
+ ↑ y = 2 * (↑ x) + (1 : Int) -- The output has the expected value
+ := by
+ /- The proof -/
+ -- Start by a call to the rewriting tactic to reveal the body of [mul2_add1]
+ rw [mul2_add1]
+ /- Here we use the fact that if [x + x] doesn't overflow, then the addition
+ succeeds and returns the value we expect, as given by the theorem [U32.add_spec].
+ Doing this properly requires a few manipulations: we need to instantiate
+ the theorem, introduce it in the context, destruct it to introduce [x1], etc.
+ We automate this with the [progress] tactic: [progress with th as ⟨ x1 .. ⟩]
+ uses theorem [th], rename the output to [x1] and further decomposes the
+ postcondition of [th] (it is possible to provide more inputs to name the
+ assumptions introduced by the postcondition, for instance: [as ⟨ x1, h ⟩]).
+
+ If you look at the goal after the call to [progress], you wil see there is
+ a new variable [x1] and an assumption stating that [↑ x1 = ↑ x + ↑ x].
+
+ Also, [U32.add_spec] has the precondition that the addition doesn't overflow.
+ In the present case, [progress] manages to prove this automatically by using
+ the fact that [2 * x + 1 < U32.max]. In case [progress] fails to prove a
+ precondition, it leaves it as a subgoal.
+ -/
+ progress with U32.add_spec as ⟨ x1 .. ⟩
+ /- We can call [progress] a second time for the second addition -/
+ progress with U32.add_spec as ⟨ x2 .. ⟩
+ /- We are now left with the remaining goal. We do this by calling the simplifier
+ then [scalar_tac], a tactic to solve linear arithmetic problems (i.e.,
+ arithmetic problems in which there are not multiplications between two
+ variables):
+ -/
+ simp at *
+ scalar_tac
+
+/- The proof above works, but it can actually be simplified a bit. In particular,
+ it is a bit tedious to specify that [progress] should use [U32.add_spec], while
+ in most situations the theorem to use is obvious by looking at the function.
+
+ For this reason, we provide the possibility of registering theorems in a database
+ so that [progress] can automatically look them up. This is done by marking
+ theorems with custom attributes, like [pspec] below.
+ Theorems in the standard library like [U32.add_spec] have already been marked with such
+ attributes, meaning we don't need to tell [progress] to use them.
+ -/
+@[pspec] -- the [pspec] attribute saves the theorem in a database, for [progress] to use it
+theorem mul2_add1_spec2 (x : U32) (h : 2 * (↑ x) + 1 ≤ U32.max)
+ : ∃ y, mul2_add1 x = ret y ∧
+ ↑ y = 2 * (↑ x) + (1 : Int)
+ := by
+ rw [mul2_add1]
+ progress as ⟨ x1 .. ⟩ -- [progress] automatically lookups [U32.add_spec]
+ progress as ⟨ x2 .. ⟩ -- same
+ simp at *; scalar_tac
+
+/- Because we marked [mul2_add1_spec2] theorem with [pspec], [progress] can
+ now automatically look it up. For instance, below:
+ -/
+-- A dummy function which uses [mul2_add1]
+def use_mul2_add1 (x : U32) (y : U32) : Result U32 := do
+ let x1 ← mul2_add1 x
+ x1 + y
+
+@[pspec]
+theorem use_mul2_add1_spec (x : U32) (y : U32) (h : 2 * (↑ x) + 1 + ↑ y ≤ U32.max) :
+ ∃ z, use_mul2_add1 x y = ret z ∧
+ ↑ z = 2 * (↑ x) + (1 : Int) + ↑ y := by
+ rw [use_mul2_add1]
+ -- Here we use [progress] on [mul2_add1]
+ progress as ⟨ x1 .. ⟩
+ progress as ⟨ z .. ⟩
+ simp at *; scalar_tac
+
+/- # Recursion -/
+
+/- We can have a look at more complex examples, for example recursive functions. -/
+
+/- A custom list type.
+
+ Original Rust code:
+ ```
+ pub enum CList<T> {
+ CCons(T, Box<CList<T>>),
+ CNil,
+ }
+ ```
+-/
+inductive CList (T : Type) :=
+| CCons : T → CList T → CList T
+| CNil : CList T
+
+-- Open the [CList] namespace, so that we can write [CCons] instead of [CList.CCons]
+open CList
+
+/- A function accessing the ith element of a list.
+
+ Original Rust code:
+ ```
+ pub fn list_nth<'a, T>(l: &'a CList<T>, i: u32) -> &'a T {
+ match l {
+ List::CCons(x, tl) => {
+ if i == 0 {
+ return x;
+ } else {
+ return list_nth(tl, i - 1);
+ }
+ }
+ List::CNil => {
+ panic!()
+ }
+ }
+ }
+ ```
+ -/
+divergent def list_nth (T : Type) (l : CList T) (i : U32) : Result T :=
+ match l with
+ | CCons x tl =>
+ if i = U32.ofInt 0
+ then Result.ret x
+ else do
+ let i1 ← i - (U32.ofInt 1)
+ list_nth T tl i1
+ | CNil => Result.fail Error.panic
+
+/- Conversion to Lean's standard list type.
+
+ Note that because we define the function as belonging to the namespace
+ [CList], we can use the notation [l.to_list] if [l] has type [CList ...].
+ -/
+def CList.to_list {α : Type} (x : CList α) : List α :=
+ match x with
+ | CNil => []
+ | CCons hd tl => hd :: tl.to_list
+
+/- Let's prove that [list_nth] indeed accesses the ith element of the list.
+
+ About the parameter [Inhabited T]: this tells us that we must have an instance of the
+ typeclass [Inhabited] for the type [T]. As of today we can only use [index] with
+ inhabited types, that is to say types which are not empty (i.e., for which it is
+ possible to construct a value - for instance, [Int] is inhabited because we can exhibit
+ the value [0: Int]). This is a technical detail.
+ -/
+theorem list_nth_spec {T : Type} [Inhabited T] (l : CList T) (i : U32)
+ -- Precondition: the index is in bounds
+ (h : (↑ i) < l.to_list.len)
+ -- Postcondition
+ : ∃ x, list_nth T l i = ret x ∧
+ x = l.to_list.index (↑ i)
+ := by
+ -- Here we can to be careful when unfolding the body of [list_nth]: we could
+ -- use the [simp] tactic, but it will sometimes loop on recursive definitions.
+ rw [list_nth]
+ -- Let's simply follow the structure of the function
+ match l with
+ | CNil =>
+ -- We can't get there: we can derive a contradiction from the precondition
+ -- First, let's simplify [to_list CNil] to [0]
+ simp [CList.to_list] at h
+ -- Proving we have a contrdiction: this is just linear arithmetic (note that
+ -- [U32] integers are unsigned, that is, they are greater than or equal to 0).
+ scalar_tac
+ | CCons hd tl =>
+ -- Simplifying the match
+ simp only []
+ -- Cases on i
+ -- The notation [hi : ...] allows us to introduce an assumption in the
+ -- context, to use the fact that in the branches we have [i = U32.ofInt 0]
+ -- and [¬ i = U32.ofInt 0]
+ if hi: i = U32.ofInt 0 then
+ -- We can finish the proof simply by using the simplier.
+ -- We decompose the proof into several calls on purpose, so that it is
+ -- easier to understand what is going on.
+ -- Simplify the condition and the [if then else]
+ simp [hi]
+ -- Proving the final equality
+ simp [CList.to_list]
+ else
+ -- The interesting branch
+ -- Simplify the condition and the [if then else]
+ simp [hi]
+ -- i0 := i - 1
+ progress as ⟨ i1, hi1 ⟩
+ -- Recursive call
+ simp [CList.to_list] at h
+ progress as ⟨ l1 ⟩
+ -- Proving the postcondition
+ -- We need this to trigger the simplification of [index to.to_list i.val]
+ --
+ -- Among other things, the call to [simp] below will apply the theorem
+ -- [List.index_nzero_cons], which has the precondition [i.val ≠ 0]. [simp]
+ -- can automatically use the assumptions/theorems we give it to prove
+ -- preconditions when applying rewriting lemmas. In the present case,
+ -- by giving it [*] as argument, we tell [simp] to use all the assumptions
+ -- to perform rewritings. In particular, it will use [i.val ≠ 0] to
+ -- apply [List.index_nzero_cons].
+ have : i.val ≠ 0 := by scalar_tac
+ simp [CList.to_list, *]
+
+end Tutorial
diff --git a/tests/lean/lakefile.lean b/tests/lean/lakefile.lean
index cc63c48f..8acf6973 100644
--- a/tests/lean/lakefile.lean
+++ b/tests/lean/lakefile.lean
@@ -8,6 +8,7 @@ require Base from "../../backends/lean"
package «tests» {}
+@[default_target] lean_lib tutorial
@[default_target] lean_lib betreeMain
@[default_target] lean_lib constants
@[default_target] lean_lib external