Add more documentation
Signed-off-by: Danila Fedorin <danila.fedorin@gmail.com>
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@@ -198,21 +198,38 @@ noncomputable def EndToEndTrace.loop_empty {ρ : Env} : EndToEndTrace (Graph.loo
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end Loop
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/-! ### Singletons, wrap, and the main result -/
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/-- A CFG consisting of only a single node has a trace through it corresponding to that node. -/
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noncomputable def EndToEndTrace.singleton {o : Option BasicStmt} {ρ₁ ρ₂ : Env}
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(h : EvalBasicStmtOpt ρ₁ o ρ₂) : EndToEndTrace (Graph.singleton o) ρ₁ ρ₂ :=
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⟨(0 : Fin 1), List.mem_singleton_self _, (0 : Fin 1), List.mem_singleton_self _,
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Trace.single h⟩
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/-- If a CFG's only node is empty, the no-op trace exists through it. -/
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noncomputable def EndToEndTrace.singleton_nil (ρ : Env) :
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EndToEndTrace (Graph.singleton none) ρ ρ :=
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EndToEndTrace.singleton EvalBasicStmtOpt.none
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/-- Invoking 'Graph.wrap` (which ensures a single entry and exit node for a CFG)
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does not invalidate traces in the original graph. -/
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noncomputable def EndToEndTrace.wrap {g : Graph} {ρ₁ ρ₂ : Env}
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(etr : EndToEndTrace g ρ₁ ρ₂) : EndToEndTrace (Graph.wrap g) ρ₁ ρ₂ :=
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(EndToEndTrace.singleton_nil ρ₁).concat (etr.concat (EndToEndTrace.singleton_nil ρ₂))
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/-- Key result: the control flow graph admits every execution that's made
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possible by a language's semantics. Thus, the CFG encodes _at least_ all
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semantically-possible executions. Informally, we can conclude from this
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that if we compute a result that using the graph's edges to determine
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what's possible, this result will not disagree with the semantics.
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Note that a CFG like $K_4$ (where the nodes are basic blocks) is
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technically also a sufficient graph, but is very likely meaningless in that
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it grossly overestimates the possible execution paths in the language, and
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thus is bound to produce less-than-specific results. There is as yet no
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result in this framework that the CFG we produce is _minimal_: loosely,
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posessing only edges for things that are admitted by the semantics.
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This is difficult to state (in its strongest form, this would
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require the CFG to be able to detect something like `while (alwaysFalse)`,
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and so remains a TODO. -/
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noncomputable def Stmt.cfg_sufficient {s : Stmt} {ρ₁ ρ₂ : Env}
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(h : EvalStmt ρ₁ s ρ₂) : EndToEndTrace s.cfg ρ₁ ρ₂ := by
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induction h with
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@@ -229,20 +246,24 @@ noncomputable def Stmt.cfg_sufficient {s : Stmt} {ρ₁ ρ₂ : Env}
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| whileFalse ρ e s _ =>
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exact EndToEndTrace.loop_empty
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/-! ### The wrapped graph's entry has no predecessors (Agda's "ugly" block) -/
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/-- The input / entry node generated by `Graph.wrap`. -/
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def Graph.wrapInput (g : Graph) : (Graph.wrap g).Index :=
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(0 : Fin 1).castAdd ((g ⤳ Graph.singleton none).size)
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/-- The output / exit node generated by `Graph.wrap`. -/
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def Graph.wrapOutput (g : Graph) : (Graph.wrap g).Index :=
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Fin.natAdd 1 ((Fin.natAdd g.size (0 : Fin 1)))
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/-- The `Graph.wrapInput` is, indeed, the graph's only input after `Graph.wrap`. -/
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lemma Graph.wrap_inputs (g : Graph) :
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(Graph.wrap g).inputs = [g.wrapInput] := rfl
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/-- The `Graph.wrapInput` is, indeed, the graph's only output after `Graph.wrap`. -/
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lemma Graph.wrap_outputs (g : Graph) :
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(Graph.wrap g).outputs = [g.wrapOutput] := rfl
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/-- When sequencing (proven here with `Graph.singleton` on the left), no edges
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exist from the right-hand graph back to the left. -/
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private lemma not_mem_edges_castAdd_sequence {g₂ : Graph} (i : Fin 1)
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(idx : (Graph.singleton none ⤳ g₂).Index) :
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((idx, i.castAdd g₂.size) : (Graph.singleton none ⤳ g₂).Edge)
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@@ -260,6 +281,7 @@ private lemma not_mem_edges_castAdd_sequence {g₂ : Graph} (i : Fin 1)
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obtain ⟨j, -, heq⟩ := List.mem_map.mp hb
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exact Fin.castAdd_ne_natAdd i j heq.symm
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/-- The input node of a graph after `Graph.wrap` has no predecessors. -/
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lemma Graph.wrap_predecessors_eq_nil (g : Graph) (idx : (Graph.wrap g).Index)
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(h : idx ∈ (Graph.wrap g).inputs) :
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(Graph.wrap g).predecessors idx = [] := by
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