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; Correctness of Binary Exponentiation
; Problem: Define and verify an M1 program to compute (expt n m), by the binary
; method. You may assume that n and m are natural numbers. The ``binary
; method'' is shown by our definition of the algorithm fn below.
; Design Plan: The binary method of exponentiation involves repeated squaring.
; For example, n^11 = n*(n^10) = n*([n^2]^5). So to compute n^m, we iterate
; counting m down by varying amounts: if m is even, we square n and divide m by
; 2. If n is odd, we just decrement m and multiply n into our running
; accumulator a, initially 1. Of course, to determine if m is even we'll need
; another loop. (To compute m/2 we can just use 1/2 * m.)
; This example does three nice things:
; (a) it is the most sophisticated algorithm we'll verify here
; (b) like div.lisp, it illustrates the verification of a two-loop program
; (c) the innermost loop is coded more like a method invocation and its
; verification foreshadows some of what we'll do when we verify
; methods and then verify code that invokes them.
; (0) Start ACL2
; (include-book "m1")
(in-package "M1")
; (1) Write your specification, i.e., define the expected inputs and the
; desired output, theta.
(defun ok-inputs (n m)
(and (natp n)
(natp m)))
(defun theta (n m)
(expt n m))
; (2) Write your algorithm. This will consist of a tail-recursive helper
; function and a wrapper, fn.
(defun helper (n m a)
(if (zp m)
a
(if (equal (mod m 2) 0)
(helper (* n n) (/ m 2) a)
(helper n (- m 1) (* n a)))))
; The problem with implementing this algorithm is that we don't have (mod m 2)
; as an M1 instruction. We have to implement it as a separate loop to count m
; down by 2 to 0 or 1 to determine its parity.
; Also, recall in alternating-sum-variant.lisp how we had to specify the final
; value of a temporary (there it was final-sign) by writing the algorithm that
; produces it. In this problem we have to do that, only the variable in
; question is n, which is occasionally squared in the algorithm above. So
; here is its final value:
(defun final-n (n m)
(if (zp m)
n
(if (equal (mod m 2) 0)
(final-n (* n n) (/ m 2))
(final-n n (- m 1)))))
(defun fn (n m) (helper n m 1))
; (3) Prove that the algorithm satisfies the spec, by proving first that the
; helper is appropriately related to theta and then that fn is theta on ok
; inputs.
; Important Note: When you verify your helper function, you must consider the
; most general case. For example, if helper is defined with formal parameters
; n, m, and a and fn calls helper initializing a to 0, your helper theorem must
; be about (helper n m a), not just about the special case (helper n m 0).
(defthm helper-is-theta
(implies (and (ok-inputs n m)
(natp a))
(equal (helper n m a)
(* a (theta n m)))))
(defthm fn-is-theta
(implies (ok-inputs n m)
(equal (fn n m)
(theta n m))))
; Disable these two lemmas because they confuse the theorem prover when it is
; dealing with the code versus fn.
(in-theory (disable helper-is-theta fn-is-theta))
; (4) Write your M1 program with the intention of implementing your algorithm.
; My program stores n and m in locals 0 and 1. It stores a in local 2. The
; predicate even is implemented as a loop, starting at pc = 26. The ``invoke''
; even, I jump to that address. Even saves the current value of local 1 by
; pushing it on the stack. It then counts n down by 2 stopping at 0 and 1 to
; determine n's parity. It then restores n's value from the stack, pushes a 1
; (``true'') or 0 (``false'') and ``returns'' to the caller.
(defconst *pi*
'(
(iconst 1) ; 0
(istore 2) ; 1 a = 1;
; loop:
(iload 1) ; 2
(ifeq 21) ; 3 if m=0, goto end
(goto 22) ; 4 ``invoke'' even
; ret-from-even:
(ifeq 10) ; 5 if even=0, goto even-nil
(iload 0) ; 6
(iload 0) ; 7
(imul) ; 8
(istore 0) ; 9 n = n*n;
(iload 1) ; 10
(iconst 1/2) ; 11
(imul) ; 12
(istore 1) ; 13 m = m/2;
(goto -12) ; 14 goto loop;
; even-nil:
(iload 1) ; 15
(iconst 1) ; 16
(isub) ; 17
(istore 1) ; 18 m = m-1;
(iload 0) ; 19
(iload 2) ; 20
(imul) ; 21
(istore 2) ; 22 a = n*a;
(goto -21) ; 23 goto loop
; end:
(iload 2) ; 24
(halt) ; 25 return a
; even:
(iload 1) ; 26 save m
; even-loop:
(iload 1) ; 27
(ifeq 10) ; 28 if m=0, goto even-t
(iload 1) ; 29
(iconst 1) ; 30
(isub) ; 31
(ifeq 9) ; 32 if m=1, goto even-nil
(iload 1) ; 33
(iconst 2) ; 34
(isub) ; 35
(istore 1) ; 36 m = m-1;
(goto -10) ; 37 goto even-loop
; even-t:
(istore 1) ; 38 restore m
(iconst 1) ; 39
(goto -35) ; 40 ``return'' 1 to ``caller''
; even-nil:
(istore 1) ; 41 restore m
(iconst 0) ; 42
(goto -38) ; 43 ``return'' 0 to ``caller''
))
; (5) Define the ACL2 function that clocks your program, starting with the
; loop clock and then using it to clock the whole program. The clock
; should take the program from pc 0 to a HALT statement. (Sometimes your
; clocks will require multiple inputs or other locals, but our example only
; requires the first local.)
; (even-clk m) takes us from an ``invocation'' of even through the
; return to the caller.
(defun even-loop-clk (m) ; Assume pc = 27 = even-loop
(if (zp m)
5
(if (equal m 1)
9
(clk+ 11
(even-loop-clk (- m 2))))))
(defun even-clk (m) ; Assume we're at the ``invoke'' of even, pc = 4
(clk+ 2
(even-loop-clk m)))
; (clk m) clocks the whole computation. It's loop-clk calls even-clk to
; when it gets to the invocation of even and assumes it leaves us at the instruction
; after the invocation.
(defun loop-clk (m)
(if (zp m)
3
(if (equal (mod m 2) 0)
(clk+ 2
(clk+ (even-clk m)
(clk+ 10
(loop-clk (* 1/2 m)))))
(clk+ 2
(clk+ (even-clk m)
(clk+ 10
(loop-clk (- m 1))))))))
(defun clk (m)
(clk+ 2
(loop-clk m)))
; Aside: I often define a little test function to let me play with my program
; and clock. This one prints the final pc, next-inst, locals and stack, but
; not the program.
(defun test (n m)
(let ((sf (m1 (make-state 0 (list n m) nil *pi*)
(clk m))))
(list (list :pc (pc sf) '--> (next-inst sf))
(list :locals (locals sf))
(list :stack (stack sf)))))
; (6) Prove that the code implements your algorithm, starting with the lemma
; that the loop implements the helper. Each time you prove a lemma relating
; code to algorithm, disable the corresponding clock function so the theorem
; prover doesn't look any deeper into subsequent code.
; Important Note: Your lemma about the loop must consider the general case.
; For example, if the loop uses the locals n, m, and a, you must characterize
; its behavior for arbitrary, legal n, m, and a, not just a special case (e.g.,
; where a is 0).
(defthm even-loop-is-mod=0
(implies (natp m)
(equal
(m1 (make-state 27
(list x m y)
(push saved-m nil)
*pi*)
(even-loop-clk m))
(make-state 5
(list x saved-m y)
(push (if (equal (mod m 2) 0) 1 0) nil)
*pi*))))
(in-theory (disable even-loop-clk))
; Important Note: The following is analogous to the specification of a method
; invocation, equivalently, the addition of a new bytecode instruction. Think
; of the ``4'' in the initial state as an arbitrary pc pointing to the
; invocation or bytecode in question. The ``5'' in the final state is just
; pc+1. The theorem is like the semantics of execute-EVEN: ``The pc is
; incremented by 1, the locals don't change, and a value, v, is pushed onto the
; stack, where v is 1 or 0 depending on whether local 1 is even or odd.''
(defthm even-is-mod=0
(implies (natp m)
(equal (m1 (make-state 4
(list n m a)
nil
*pi*)
(even-clk m))
(make-state 5
(list n m a)
(push (if (equal (mod m 2) 0) 1 0) nil)
*pi*))))
(in-theory (disable even-clk))
; Once the above theorem has been proved it's as though we have a new
; instruction (except here it must be used only at pc=4!). When symbolic
; execution gets to pc=4 with the appropriate clock, the machine just steps
; to the next instruction and pushes the value of the even predicate on stack.
(defthm helper-is-fn
(implies (and (ok-inputs n m)
(natp a))
(equal (m1 (make-state 2 (list n m a) nil *pi*)
(loop-clk m))
(make-state 25
(list (final-n n m) 0 (helper n m a))
(push (helper n m a) nil)
*pi*))))
(in-theory (disable loop-clk))
(defthm program-is-fn
(implies (ok-inputs n m)
(equal (m1 (make-state 0
(list n m)
nil
*pi*)
(clk m))
(make-state 25
(list (final-n n m) 0 (fn n m))
(push (fn n m) nil)
*pi*))))
(in-theory (disable clk))
; (7) Put the two steps together to get correctness.
(in-theory (enable fn-is-theta))
(defthm program-correct
(implies (ok-inputs n m)
(equal (m1 (make-state 0
(list n m)
nil
*pi*)
(clk m))
(make-state 25
(list (final-n n m) 0 (theta n m))
(push (theta n m)
nil)
*pi*))))
; This corollary just shows we did what we set out to do:
(defthm total-correctness
(implies (and (natp n)
(natp m)
(equal sf (m1 (make-state 0
(list n m)
nil
*pi*)
(clk m))))
(and (equal (next-inst sf) '(HALT))
(equal (top (stack sf)) (expt n m))))
:rule-classes nil)
; Think of the above theorem as saying: for all natural numbers n and m, there
; exists a clock (for example, the one constructed by (clk n)) such that
; running *pi* with (list n m) as input produces a state, sf, that is halted
; and which contains (expt n m) on top of the stack. Note that the algorithm
; used by *pi* is not specified or derivable from this formula.
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