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Signed-off-by: Danila Fedorin <danila.fedorin@gmail.com>
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@@ -2,12 +2,27 @@ import Spa.Language.Base
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import Spa.Lattice
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import Spa.Interp
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/-!
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# Operational Semantics
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This file contains the operational semantics for the object language defined in
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`Spa.Language.Base`. Right now, all values in the language are integers.
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The semantics are big-step, and lead to a fully constructed proof tree
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containing the derivation connecting the initial and final states.
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All pretty standard.
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-/
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namespace Spa
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/-- A value in the object language. Currently, the only possible case is
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an integer. -/
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inductive Value where
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| int (z : ℤ)
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deriving DecidableEq
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/-- An environment mapping variables to their values. -/
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def Env : Type := List (String × Value)
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inductive Env.Mem : String × Value → Env → Prop
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@@ -15,6 +30,8 @@ inductive Env.Mem : String × Value → Env → Prop
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| there (s s' : String) (v v' : Value) (ρ : Env) :
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¬(s = s') → Env.Mem (s, v) ρ → Env.Mem (s, v) ((s', v') :: ρ)
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/-- Inference rules for evaluating an expression (`Spa.Expr`) in a given
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environment. Pretty standard big-step expression evaluation. -/
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inductive EvalExpr : Env → Expr → Value → Prop
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| num (ρ : Env) (n : ℕ) : EvalExpr ρ (.num n) (.int n)
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| var (ρ : Env) (x : String) (v : Value) :
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@@ -26,17 +43,24 @@ inductive EvalExpr : Env → Expr → Value → Prop
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EvalExpr ρ e₁ (.int z₁) → EvalExpr ρ e₂ (.int z₂) →
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EvalExpr ρ (.sub e₁ e₂) (.int (z₁ - z₂))
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/-- Inference rules for evaluating a basic statement (`Spa.BasicStmt`) in
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a given environment, potentially changing the environment.
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Pretty standard big-step evaluation. -/
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inductive EvalBasicStmt : Env → BasicStmt → Env → Prop
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| noop (ρ : Env) : EvalBasicStmt ρ .noop ρ
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| assign (ρ : Env) (x : String) (e : Expr) (v : Value) :
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EvalExpr ρ e v → EvalBasicStmt ρ (.assign x e) ((x, v) :: ρ)
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/-- Inference rules for evaluating a sequence of basic statements. -/
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inductive EvalBasicStmts : Env → List BasicStmt → Env → Prop
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| nil {ρ : Env} : EvalBasicStmts ρ [] ρ
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| cons {ρ₁ ρ₂ ρ₃ : Env} {bs : BasicStmt} {bss : List BasicStmt} :
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EvalBasicStmt ρ₁ bs ρ₂ → EvalBasicStmts ρ₂ bss ρ₃ →
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EvalBasicStmts ρ₁ (bs :: bss) ρ₃
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/-- Inference rules for evaluating statements (`Spa.Stmt`) in a given
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environment, potentially changing the environment.
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Pretty standard big-step evaluation. -/
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inductive EvalStmt : Env → Stmt → Env → Prop
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| basic (ρ₁ ρ₂ : Env) (bs : BasicStmt) :
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EvalBasicStmt ρ₁ bs ρ₂ → EvalStmt ρ₁ (.basic bs) ρ₂
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@@ -57,6 +81,15 @@ inductive EvalStmt : Env → Stmt → Env → Prop
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EvalExpr ρ e (.int 0) →
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EvalStmt ρ (.whileLoop e s) ρ
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/-- For the purpose of static analysis, lattices we define describe program
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state, or better yet, they describe _values_ in the program.
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This class should be provided by each analysis' lattice (see also `Spa/Analysis/Forward.lean`)
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to describe what each lattice value means in terms of the language.
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In addition to providing the interpretation (`Spa.Interp`), the lattice
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combinators `⊔` and `⊓` must respect disjunction and conjunction respectively.
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This is because possible paths through a control flow graph (`Spa/Language/Graphs.lean`),
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are tied to lattice operations used by the analysis engine. -/
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class LatticeInterpretation (L : Type*) [Lattice L] extends Interp L (Value → Prop) where
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interp_sup : ∀ {l₁ l₂ : L} (v : Value),
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interp l₁ v ∨ interp l₂ v → interp (l₁ ⊔ l₂) v
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@@ -1,11 +1,46 @@
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import Spa.Lattice
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/-!
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# Product Lattice
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This file provides a proof that, in addition to being a lattice,
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the product of two types $\alpha \times \beta$ forms a `Spa.FiniteHeightLattice`
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if both $\alpha$ and $\beta$ have a finite height.
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The proof proceeds by "unzipping" a chain:
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$$
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(a_1, b_1) < (a_1, b_2) < \ldots < (a_n, b_m)
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$$
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In which, at each step, either an $\alpha$ or $\beta$ element
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might ratchet up, into two chains:
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$$
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\begin{aligned}
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a_1 < \ldots < a_n \\
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b_1 < \ldots < b_m
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\end{aligned}
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$$
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Because at least one of the two "unzipped" chains grows with
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each element of the product chain, the full chain length
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can't exceed the sum of the two components. By the definition
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of finite height, these two chains are bounded, and therefore,
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the product chain is bounded too.
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-/
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namespace Spa
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section Unzip
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variable {α β : Type*} [PartialOrder α] [PartialOrder β]
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/-- The unzipping lemma: any chain (`LTSeries`) of product
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elements can be decomposed into chains of components,
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whose lengths bound the chain. -/
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lemma LTSeries.exists_unzip (c : LTSeries (α × β)) :
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∃ (c₁ : LTSeries α) (c₂ : LTSeries β),
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c₁.head = c.head.1 ∧ c₁.last = c.last.1 ∧
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@@ -60,6 +95,9 @@ section FixedHeight
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variable {α β : Type*}
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/-- The longest possible chain is one in which only one of the components grows
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at a time, making the maximum height of $\alpha \times \beta$ be
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$\text{height}_\alpha + \text{height}_\beta$. -/
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instance prod [A : FiniteHeightLattice α] [B : FiniteHeightLattice β] :
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FiniteHeightLattice (α × β) where
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toLattice := inferInstance
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@@ -1,7 +1,18 @@
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import Spa.Lattice
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/-!
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# Unit Lattice
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This file provides a proof that in addition to being a lattice,
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`PUnit` is a `Spa.FiniteHeightLattice`. This is fairly trivial result,
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but the unit is used as a placeholder in various contexts (e.g.,
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as a base case for the iterated product `Spa/Lattice/IterProd.lean`). -/
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namespace Spa
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/-- Since a singleton type's preorder has no nonempty `<` chains,
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they are vacuously bounded by any minimum height. -/
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lemma boundedChains_of_subsingleton (α : Type*) [Preorder α] [Subsingleton α]
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(n : ℕ) : BoundedChains α n := fun c => by
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by_contra hc
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