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; Use of Tail-Recursion to Propagate Inductive Assertions
; J Strother Moore
; February 26, 2003
; cd /u/moore/m5/tolquhon
; (ld "partial.lisp" :ld-pre-eval-print t)
; Certification:
; (include-book "utilities")
; (certify-book "partial" 1)
; ---------------------------------------------------------------------------
; Summary
; In this file I show how to use the classic inductive invariant
; approach to prove a partial correctness property of m5 programs.
; We deal with both iterative and recursive methods.
; To use the inductive invariant method with an operational semantics
; you define the invariant characterizing the reachable states of
; interest (i.e., given whatever pre-condition you wish to impose).
; Suppose the invariant is (inv s n0), where n0 is the ``initial
; values'' of the locals. Then the next step is to prove that
; it is, indeed, an invariant, by proving that
; (implies (inv s n0) (inv (step s) n0)). [1]
; From this it follows that
; (implies (inv s n0) (inv (run k s) n0)).
; Note that if you then plug in an initial state satisfying the
; invariant, and you suppose that after some arbitrary run the pc is
; at some location, you can read out of the invariant what you must
; know about that state.
; I'll get more specific below.
; In the past when I've used this technique, e.g., to do the
; Apprentice problem, I had to supply an explicit assertion for every
; pc. Whether you do it explicitly or not, the invariant must
; characterize every pc or else you won't be able to prove [1].
; But the classic inductive assertion method supplies an assertion
; only for selected cut points (one for each loop, plus the pre- and
; post-conditions).
; In this file I demonstrate how to be explicit only at the cut
; points. I use recursion by step in inv to define the invariant for
; all the states between cut points. Even this idea is not new for
; me. But in my previous uses of this idea -- the idea of using
; recursion by step to define the invariant at pcs other than the cut
; points -- you get the problem of how to ADMIT the inv function
; itself. To admit such a recursive inv you have to prove that every
; step reduces the distance to some cut point. That is, ACL2 imposes
; a proof burden not incurred by an ordinary user of inductive
; assertions. (Such a user had to supply enough cut points but you
; knew you had done so if the verification condition generator
; terminated.) My ``insight'' is that I could use defpun to define
; the invariant, using tail-recursion by step.
; A technique similar in spirit to the one I'm describing was used by
; Pete Manolios to attack the 2-Job version of the Apprentice problem.
; There, he defined the reachable states of the Apprentice problem as
; all the states that could be reached from certain states by the
; execution of a fixed maximum number of steps (25?).
; The contribution I see for this little note is the use of defpun to
; avoid counting.
; Now I'll do it...
; ---------------------------------------------------------------------------
; Preliminaries
; This first part is just ``prelude''. It has nothing to do with the
; specific programs we will verify.
(in-package "M5")
(include-book "misc/defpun" :dir :system)
(defmacro defpun (g args &rest tail)
`(acl2::defpun ,g ,args ,@tail))
(defthm update-nth-opener
(and (equal (update-nth 0 x a) (cons x (cdr a)))
(implies (not (zp n))
(equal (update-nth n x a)
(cons (car a) (update-nth (- n 1) x (cdr a)))))))
; ---------------------------------------------------------------------------
; Some Preliminaries for Our First Program
(defthm int-evenp-inv-a
(implies (intp i)
(iff (evenp (int-fix (- i 2)))
(evenp i)))
:hints
(("Goal" :in-theory (e/d (intp int-fix)
(floor)))))
(defthm int-evenp-inv-b
(implies (intp i)
(iff (evenp (- i 2))
(evenp i)))
:hints
(("Goal" :in-theory (e/d (intp int-fix)
(floor)))))
(in-theory (disable evenp))
(defthm int-lemma2a
(implies (and (intp x)
(<= 0 x))
(equal (int-fix (+ -2 x))
(+ -2 x)))
:hints (("Goal" :in-theory (e/d (intp) nil))))
(defthm int-lemma2b
(implies (and (intp x)
(<= 0 x))
(intp (+ -2 x)))
:hints (("Goal" :in-theory (e/d (intp) nil))))
; ---------------------------------------------------------------------------
; Our First Program
; Below is an m5 program that decrements its first local, n, by 2 and
; iterates until the result is 0. On each iteration it adds 1 to a
; local variable, a, which is initialized to 0. Thus, the method
; computes n/2, when n is even. It does not terminate when n is odd.
; To make the program slightly simpler to deal with, I only consider
; the case where n is a non-negative int. Note that the program still
; may loop forever under this pre-condition. In fact, if n is a
; negative int, the iteration eventually wraps around and n becomes
; positive. I could therefore eliminate the restriction on the sign
; of n and still get both occasional termination and occasional
; non-termination. If n is not an int, it becomes an int after one
; iteration because of m5's use of int-fix on every operation. Thus,
; I believe I could eliminate the pre-conditions on n altogether.
; However, that only involves me in int-ring arithmetic. The
; non-negative int case exhibits all the interesting behavior.
(defconst *half-prog*
'((iconst_0) ; 0
(istore_1) ; 1 a := 0;
(iload_0) ; 2 top of loop:
(ifeq 14) ; 3 if n=0, goto 17;
(iload_1) ; 6
(iconst_1) ; 7
(iadd) ; 8
(istore_1) ; 9 a := a+1;
(iload_0) ;10
(iconst_2) ;11
(isub) ;12
(istore_0) ;13 n := n-2;
(goto -12) ;14 goto top of loop
(iload_1) ;17
(halt))) ;18
; Here is the ``semantics'' of the loop, in the case in interest.
(defun halfa (n a)
(declare (xargs :measure (nfix n)))
(if (zp n)
a
(halfa (- n 2) (int-fix (+ a 1)))))
; ---------------------------------------------------------------------------
; The Assertions at the Three Cut Points
; We will use a classic ``inductive assertion'' method. The following
; function takes a state, s, and the ``initial'' value of n, n0, and
; states the assertions we wish to attach to pcs 0, 2, and 18. These
; are the so-called ``cut points'' of my choice: the entry to the
; program, the top of the loop, and exit from the program.
; The particular assertions are not my main interest in this paper.
; You can read them if you want. The real nugget in this paper is not
; the assertions but the fact that I use tail recursion by step to
; propagate assertions from the cut points to all the pcs.
; That said, let me note that the assertions are complicated because
; they have to handle the fact that halfa tracks the program only as
; long as n stays non-negative. Things would be simpler if I assumed
; that n0 was even. But I like illustrating the capability of
; establishing conditions that hold for n0 in the event of
; termination.
(defun half-assertion (th s n0)
(let ((n (nth 0 (locals (top-frame th s))))
(a (nth 1 (locals (top-frame th s))))
(stack (stack (top-frame th s))))
(and (equal (program (top-frame th s)) *half-prog*)
(case (pc (top-frame th s))
(0 (and (equal n n0)
(intp n0)
(<= 0 n0)))
(2 (and (intp n0)
(<= 0 n0)
(intp n)
(if (and (<= 0 n)
(evenp n))
(equal (halfa n a)
(halfa n0 0))
(not (evenp n)))
(iff (evenp n0) (evenp n))))
(18 (and (evenp n0)
(equal (top stack) (halfa n0 0))))
(otherwise nil)))))
; Observe that the output condition is that n0 is even and that the
; top of the stack contains the semantic expression (halfa n0 0).
; We will later convert this to n0/2.
; ---------------------------------------------------------------------------
; The Invariant -- The Only New Idea in this Note
; Here is the new idea. I define the invariant for the program by
; using defpun. The assertions are attached at the three cut points
; and all other statements inherit the invariant of the next
; statement.
(defpun half-inv (th s n0)
(if (or (equal (pc (top-frame th s)) 0)
(equal (pc (top-frame th s)) 2)
(equal (pc (top-frame th s)) 18))
(half-assertion th s n0)
(half-inv th (step th s) n0)))
; In one sense, the next lemma is just a technical lemma to force
; half-inv to keep opening if it hasn't reached a cut point yet. But
; in another sense, this lemma highlights the nice feature of this
; approach. Suppose that in our function half-assertion we had failed
; to supply a cut point for some loop. Then we'll get a stack
; overflow from the repeated indefinite application of this rewrite
; rule. But we do not have to prove we've cut every loop, because the
; half-inv function is tail recursive and so was admitted by defpun.
; In the past when I've used the classic inductive invariant approach
; and used recursion in half-inv to avoid an assertion at every pc, I
; had to invent some kind of measure (``distance to the next cut
; point'') to prove that I had cut every loop. That annoyed me
; because in the classic inductive invariant approach that burden is
; merely pragmatic -- you had to cut every loop or you couldn't
; generate verification conditions. But you didn't have to prove you
; had cut every loop. In my past attempts to mimic this, I had to
; prove more stuff!
(defthm half-inv-make-state-opener
(implies (and (equal s (make-state tt hp ct))
(equal pc (pc (top-frame th s)))
(syntaxp (quotep pc))
(not (equal pc 0))
(not (equal pc 2))
(not (equal pc 18)))
(equal (half-inv th (make-state tt hp ct) n0)
(half-inv th (step th (make-state tt hp ct)) n0))))
; ---------------------------------------------------------------------------
; Proofs
; So here is the key theorem of the inductive invariant approach, showing
; that inv is an invariant.
(defthm half-inv-step
(implies (half-inv th s n0)
(half-inv th (step th s) n0)))
; We can immediately conclude that half-inv is an invariant under run,
; as long as the only thread we step is th.
(defun mono-threadedp (th sched)
(if (endp sched)
t
(and (equal th (car sched))
(mono-threadedp th (cdr sched)))))
(defthm half-inv-run
(implies (and (mono-threadedp th sched)
(half-inv th s n0))
(half-inv th (run sched s) n0))
:rule-classes nil
:hints (("Goal" :in-theory (e/d (run)(half-inv-def)))))
; And so we're done. If we plug in an initial state satisfying the
; invariant we get a final state satisfying it. If the final state is
; supposed to have pc 18, then we can read out what the invariant
; tells us about that cut point.
(defthm half-main
(let ((s1 (run sched (modify th s0
:pc 0
:locals (list n0 any)
:stack stk
:program *half-prog*))))
(implies (and (intp n0)
(<= 0 n0)
(mono-threadedp th sched)
(equal (pc (top-frame th s1)) 18))
(and (evenp n0)
(equal (top (stack (top-frame th s1)))
(halfa n0 0)))))
:hints (("Goal" :use
(:instance half-inv-run
(s (modify th s0
:pc 0
:locals (list n0 any)
:stack stk
:program *half-prog*))
(th th)
(sched sched)
(n0 n0))))
:rule-classes nil)
; ---------------------------------------------------------------------------
; Getting Rid of the Semantic Function
; Now, following our standard paradigm, we get rid of halfa and
; introduce n/2 instead. There is nothing new here, but I have to
; fight intp and int-fix.
(defthm int-back
(implies (and (intp (+ a x))
(integerp a)
(<= 0 a)
(integerp x)
(<= 0 x)
(integerp y)
(<= 0 y)
(<= y x))
(intp (+ y a)))
:hints (("Goal" :in-theory (enable intp))))
(defthm halfa-is-half
(implies (and (intp n)
(<= 0 n)
(evenp n)
(integerp a)
(<= 0 a)
(intp (+ (/ n 2) a)))
(equal (halfa n a)
(+ (/ n 2) a)))
:hints (("Goal" :in-theory (enable evenp))))
(defthm intp-half-n
(implies (and (intp n)
(<= 0 n)
(evenp n))
(intp (* 1/2 n)))
:hints (("Goal" :in-theory (enable evenp intp))))
; ---------------------------------------------------------------------------
; The (Partial) Correctness Theorem for Half
; The following theorem summarizes what we now know. Start with a a
; state running *half-prog* from pc 0 with initial n=n0 and run it
; under an arbitrary mono-threaded schedule to get to s1. Suppose n0
; is a non-negative int and the pc of s1 is 18.
; Then we conclude that n0 is even and that the top of the stack is
; n0/2.
(defthm half-is-partially-correct
(let ((s1 (run sched (modify th s0
:pc 0
:locals (list n0 any)
:stack stk
:program *half-prog*))))
(implies (and (intp n0)
(<= 0 n0)
(mono-threadedp th sched)
(equal (pc (top-frame th s1)) 18))
(and (evenp n0)
(equal (top (stack (top-frame th s1))) (/ n0 2)))))
:hints (("Goal"
:use ((:instance half-main)))))
; Note that at no point in this exercise have we counted instructions
; or defined a clock or schedule generator.
; ---------------------------------------------------------------------------
; Doing a Sum Program
; To re-illustrate the same methodology, without worrying about
; demonstrating that we can conclude things about the input if we're
; told we terminate, here is a program that sums the ints from n0 down
; to 0.
(defconst *sum-prog*
; We name local[0] n and local[1] a.
'((iconst_0) ; 0
(istore_1) ; 1 a := 0;
(iload_0) ; 2 top of loop:
(ifeq 14) ; 3 if n=0, goto 17;
(iload_0) ; 6
(iload_1) ; 7
(iadd) ; 8
(istore_1) ; 9 a := n+a;
(iload_0) ;10
(iconst_m1) ;11
(iadd) ;12
(istore_0) ;13 n := n-1;
(goto -12) ;14 goto top of loop
(iload_1) ;17
(halt))) ;18 halt with a on top of stack;
(defun suma (n a)
(if (zp n)
a
(suma (- n 1) (int-fix (+ n a)))))
(defun sum-assertion (th s n0)
(let ((n (nth 0 (locals (top-frame th s))))
(a (nth 1 (locals (top-frame th s))))
(stack (stack (top-frame th s))))
(and (equal (program (top-frame th s)) *sum-prog*)
(case (pc (top-frame th s))
(0 (and (equal n n0)
(intp n0)
(<= 0 n0)))
(2 (and (intp n0)
(intp n)
(<= 0 n)
(<= n n0)
(equal (suma n a)
(suma n0 0))))
(18 (equal (top stack) (suma n0 0)))
(otherwise nil)))))
(defpun sum-inv (th s n0)
(if (or (equal (pc (top-frame th s)) 0)
(equal (pc (top-frame th s)) 2)
(equal (pc (top-frame th s)) 18))
(sum-assertion th s n0)
(sum-inv th (step th s) n0)))
(defthm sum-inv-make-state-opener
(implies (and (equal s (make-state tt hp ct))
(equal pc (pc (top-frame th s)))
(syntaxp (quotep pc))
(not (equal pc 0))
(not (equal pc 2))
(not (equal pc 18)))
(equal (sum-inv th (make-state tt hp ct) n0)
(sum-inv th (step th (make-state tt hp ct)) n0))))
(defthm sum-inv-step
(implies (sum-inv th s n0)
(sum-inv th (step th s) n0)))
(defthm sum-inv-run
(implies (and (mono-threadedp th sched)
(sum-inv th s n0))
(sum-inv th (run sched s) n0))
:rule-classes nil
:hints (("Goal" :in-theory (e/d (run)(sum-inv-def)))))
(defthm sum-main
(let ((s1 (run sched (modify th s0
:pc 0
:locals (list n0 any)
:stack stk
:program *sum-prog*))))
(implies (and (intp n0)
(<= 0 n0)
(mono-threadedp th sched)
(equal (pc (top-frame th s1)) 18))
(equal (top (stack (top-frame th s1))) (suma n0 0))))
:hints (("Goal" :use
(:instance sum-inv-run
(s (modify th s0
:pc 0
:locals (list n0 any)
:stack stk
:program *sum-prog*))
(th th)
(sched sched)
(n0 n0))))
:rule-classes nil)
; We don't bother to eliminate suma, though we could if we hacked around
; with intp long enough!
; ---------------------------------------------------------------------------
; A Recursive Method
; Now let's do recursive factorial. We'll bring in the clocked work
; we have already done, just to have the *demo-state* etc.
(include-book "demo")
; Here is the (redundant) definition of the program.
(defconst *fact-def*
'("fact" (INT) NIL
(ILOAD_0) ;;; 0
(IFLE 12) ;;; 1
(ILOAD_0) ;;; 4
(ILOAD_0) ;;; 5
(ICONST_1) ;;; 6
(ISUB) ;;; 7
(INVOKESTATIC "Demo" "fact" 1) ;;; 8
(IMUL) ;;; 11
(IRETURN) ;;; 12
(ICONST_1) ;;; 13
(IRETURN))) ;;; 14
; The following function recognizes the call stack (cs) of a call of
; the "fact" method on n0. The function is not applied to the
; top-most frame, because the constraints on the frame are so
; pc-sensitive and the top-most frame may have "any" pc. So the
; function actually recognizes the rest of the "fact" call stack.
; Here is a picture of the entire call stack.
; ------------------- top-most frame
; pc: any
; locals: (n) 5 <- suppose n=5
; stack: any
; program: fact prog
; ------------------- caller-frame
; pc: 11
; locals: (n+1) 6 this is caller-frame 3
; stack: (n+1)
; program: fact prog
; ------------------- caller-frame
; pc: 11
; locals: (n+2) 7 this is caller-frame 2
; stack: (n+2)
; program: fact prog
; ------------------- caller-frame
; ...
; ------------------- caller-frame
; pc: 11
; locals: (n0) 8 <- suppose n0 = 8 ; this is caller frame 1
; stack: (n0)
; program: fact prog
; ------------------- the frame below called fact on n0
; ... this is caller frame 0
; Note that there are n0-n fact caller frames. We number them from
; n0-n down to 1. Caller frame 0 is actually the ``external'' entry
; into fact on n0. We don't know (or care) whether fact or some other
; program is running there. Let k be the number of the caller frame.
; Then note that the value of n in that frame is n0-k+1.
(defun fact-caller-framesp (cs n0 k)
(declare (xargs :measure (acl2-count k)))
(cond ((zp k) t)
((and (equal (pc (top cs)) 11)
(equal (program (top cs)) (cdddr *fact-def*))
(equal (sync-flg (top cs)) 'UNLOCKED)
(intp (nth 0 (locals (top cs))))
(equal (+ n0 (- k)) (- (nth 0 (locals (top cs))) 1))
(equal (nth 0 (locals (top cs)))
(top (stack (top cs)))))
(fact-caller-framesp (pop cs) n0 (- k 1)))
(t nil)))
; We want to compute n0*...*(n+1). Here is the function we use.
(defun stack-product (n0 k)
(cond ((zp k) 1)
(t (* (+ n0 (- k) 1) (stack-product n0 (- k 1))))))
(defthm integerp-stack-product
(implies (and (integerp n0)
(integerp k))
(integerp (stack-product n0 k)))
:rule-classes ((:rewrite) (:type-prescription)))
(defun sdepth (stk)
(declare (xargs :hints (("Goal" :in-theory (enable pop)))))
(if (endp stk)
0
(+ 1 (sdepth (pop stk)))))
; This assertion is a little different from the iterative version
; because we have to cope with RETURN. The two iterative programs
; concluded with HALT instructions. Now we have to deal with a return
; and so cannot deal with arbitrary schedules -- because we might
; return right out of the program of interest, execute arbitrary code,
; and get back into the program of interest with some weird
; environment. So we have to run until we do a return from the
; initial environment. We make an assertion there -- the top of the
; stack contains (int-fix (factorial n0)) -- without even knowing what
; the pc there is.
(defun fact-assertion (th s n0 d0)
(cond
((< (sdepth (call-stack th s)) d0)
(equal (top (stack (top-frame th s)))
(int-fix (factorial n0))))
(t
(let ((n (nth 0 (locals (top-frame th s)))))
(and (equal (program (top-frame th s)) (cdddr *fact-def*))
(equal (lookup-method "fact" "Demo" (class-table s))
*fact-def*)
(equal (sync-flg (top-frame th s)) 'UNLOCKED)
(intp n0)
(intp n)
(<= 0 n)
(<= n n0)
(equal (sdepth (call-stack th s)) (+ d0 (- n0 n)))
(fact-caller-framesp (pop (call-stack th s)) n0 (- n0 n))
(equal (int-fix (factorial n0))
(int-fix (* (factorial n)
(stack-product n0 (- n0 n)))))
(case (pc (top-frame th s))
(0 t)
((12 14) (equal (top (stack (top-frame th s)))
(int-fix (factorial n))))
(otherwise nil)))))))
(defpun fact-inv (th s n0 d0)
(if (or (< (sdepth (call-stack th s)) d0)
(equal (pc (top-frame th s)) 0)
(equal (pc (top-frame th s)) 12)
(equal (pc (top-frame th s)) 14))
(fact-assertion th s n0 d0)
(fact-inv th (step th s) n0 d0)))
(defthm fact-inv-make-state-opener
(implies (and (equal pc (pc (top-frame th s)))
(syntaxp (quotep pc))
(not (< (sdepth (call-stack th s)) d0))
(not (equal pc 0))
(not (equal pc 12))
(not (equal pc 14)))
(equal (fact-inv th s n0 d0)
(fact-inv th (step th s) n0 d0))))
; These next two theorems are technical lemmas to force certain
; substitutions.
(DEFTHM KB-HACK1
(IMPLIES
(AND
(FACT-CALLER-FRAMESP
(POP (POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S)))))
N0
(+ -1 N0 (- NNN)))
(EQUAL
NNN
(+ -1
(CAR (LOCALS (TOP (POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))))))))
(FACT-CALLER-FRAMESP
(POP (POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S)))))
N0
(+
N0
(-
(CAR (LOCALS (TOP (POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))))))))))
(defthm kb-hack2
(implies (and (intp aaa)
(intp bbb)
(EQUAL aaa (+ -1 bbb)))
(equal (INT-FIX
(*
fff
(+ 1 aaa)
(STACK-PRODUCT N0 (+ -1 N0 (- aaa)))))
(INT-FIX
(*
bbb
fff
(STACK-PRODUCT N0 (+ N0 (- bbb))))))))
(defthm kb-hack3
(implies (and (equal xxx (int-fix bbb))
(integerp aaa)
(integerp bbb))
(equal (equal (int-fix (* xxx aaa))
(int-fix (* aaa bbb)))
t)))
; The deepest fact caller frame has n0 as its local and occurs at
; a cs len of d0. We are at least that deep. But what if that is
; the topmost frame? There must be a frame under it, that called it.
; so we require that 1<d0.
; Here we prove the invariance of fact-inv under step, but we limit
; ourselves to starting states with sufficiently deep stacks. This
; way we don't have to run past the return the that pops us out of the
; program of interest.
(defthm fact-inv-step
(implies (and (integerp d0)
(< 1 d0)
(<= d0 (sdepth (call-stack th s)))
(fact-inv th s n0 d0))
(fact-inv th (step th s) n0 d0))
:otf-flg t
:hints
(("Subgoal 8"
:expand
(FACT-CALLER-FRAMESP
(POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))
N0
(+ N0
(- (CAR (LOCALS (TOP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))))))))
("Subgoal 6"
:expand
(FACT-CALLER-FRAMESP
(POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))
N0
(+ N0
(- (CAR (LOCALS (TOP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))))))))
("Subgoal 4'"
:expand
(FACT-CALLER-FRAMESP
(POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))
N0
(+ N0
(- (CAR (LOCALS (TOP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))))))))
("Subgoal 2"
:expand
(FACT-CALLER-FRAMESP
(POP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))
N0
(+ N0
(- (CAR (LOCALS (TOP (CADR (ASSOC-EQUAL TH (THREAD-TABLE S))))))))))
))
; Of course, having limited the invariance, we have to define a version of
; run that runs only until the first return that pops out of a given
; call depth.
(defun run-to-return (sched th d0 s)
(cond ((endp sched) s)
((<= d0 (sdepth (call-stack th s)))
(run-to-return (cdr sched) th d0 (step (car sched) s)))
(t s)))
; Now we carry on with our standard method...
(defthm fact-inv-run
(implies (and (mono-threadedp th sched)
(integerp d0)
(< 1 d0)
(fact-inv th s n0 d0))
(fact-inv th (run-to-return sched th d0 s) n0 d0))
:rule-classes nil
:hints (("Goal" :in-theory (e/d (run)(fact-inv-def)))))
; Here is the main theorem. It opens by letting s1 be a run-to-return
; of s0. That particular call runs s0 with an abitrarily long
; schedule, sched. Note that run-to-return does not always return a
; state that has returned to a shorter call-stack depth -- if the
; schedule is exhausted before that happens, the final state may still
; be as deep or deeper than the initial state. In any case, s0 is the
; initial state and s1 is the final state.
; Now let's read the hypotheses of the implication. There are five
; blocks of hypotheses. The first says that n0 is a positive intp.
; The second says that the top-frame of thread th of s0 is a call of
; our "fact" method on n0. The third says that the depth of the
; call-stack of thread th is greater than 1. That means there is a
; frame under the call of "fact". We will call that frame the
; ``caller's frame.'' Of course, if s1 has a shorter call-stack than
; s0, then the caller's frame will be its top-frame, since
; run-to-return stops as soon as we've returned to that depth. The
; fourth says the schedule consists of nothing but th steps. Note
; that otherwise we say nothing about the schedule -- it may be
; arbitrarily long. The fifth block says that the depth of the call
; stack of s1 is less than that of s0, so we know the initial state
; did run long enough to return and hence, the caller's frame is the
; top-frame of s1.
; Then the conclusion is that (int-fix (factorial n0)) is on top of
; the stack of the caller's frame.
(defthm fact-main
(let ((s1 (run-to-return sched th (sdepth (call-stack th s0)) s0)))
(implies (and (intp n0)
(<= 0 n0)
(equal (pc (top-frame th s0)) 0)
(equal (locals (top-frame th s0)) (list n0))
(equal (program (top-frame th s0))
(cdddr *fact-def*))
(equal (sync-flg (top-frame th s0)) 'unlocked)
(equal (lookup-method "fact" "Demo" (class-table s0))
*fact-def*)
(< 1 (sdepth (call-stack th s0)))
(mono-threadedp th sched)
(< (sdepth (call-stack th s1))
(sdepth (call-stack th s0))))
(equal (top (stack (top-frame th s1)))
(int-fix (factorial n0)))))
:hints (("Goal"
:do-not-induct t
:use
(:instance fact-inv-run
(s s0)
(th th)
(sched sched)
(n0 n0)
(d0 (sdepth (call-stack th s0))))))
:rule-classes nil)
|