When I began writing the explicit-control evaluator code for this section, I ran into a minor language incompatibility. While I've used CL to implement the meta-circular evaluator of chapter 4, I've employed Scheme for the implementation of the register machine simulator earlier in this chapter. This means that I can't use the meta-circular evaluator's primitive functions directly in my register-machine code.

So I've downloaded the code from chapter 4 of the book from here. The specific file that is included in my code is this one – I've cleaned it up and modified it a little to be compatible with PLT Scheme, and provide only the required functionality.

The explicit-control evaluator itself is available here. I've modified it a little, adding some functionality for non-interactive evaluation. Specifically, this code:

  (perform (op initialize-stack))
  (test (op null?) (reg machine-args))
  (branch (label machine-end))
  (assign exp (op car) (reg machine-args))
  (assign machine-args (op cdr) (reg machine-args))
  (assign env (op get-global-environment))
  (assign continue (label non-interactive-eval))
  (goto (label eval-dispatch))

Can be jumped to instead of read-eval-print-loop. It assumes there is a list of expressions to be evaluated in the machine-args register, and goes over them, evaluating them from left to right. This allows for convenient execution of the evaluator as follows:

(define code
    (define (sumsq a b)
      (+ (* a a) (* b b)))
    (define x 5)
    (define y 7)
    (define ans (sumsq x y))
    (print ans)

(set-register-contents! ec-eval 'machine-args code)
(start ec-eval)

You'll also see in the beginning of the controller code these two lines:

  ; (goto (label read-eval-print-loop))
  (goto (label non-interactive-eval))

Currently the jump to read-eval-print-loop is commented, but this can be easily changed.

Another change you'll note in the definition of the machine's operations. I got tired of writing each operator name twice (once quoted, and once plain), and wrote the macro1 qq to handle it for me:

(define-macro (qq e)
  `(list ',e ,e))

For example, (qq adjoin-arg) gets translated in "compile-time" into (list 'adjoin-arg adjoin-arg) so I have less repetitive typing to do.

Exercise 5.23

Adding support for cond:

  (assign exp (op cond->if) (reg exp))
  (goto (label ev-if))

And the appropriate dispatch is:

(test (op cond?) (reg exp))
(branch (label ev-cond))

Finally, to make it all work the operations cond? and cond->if must be added to the machine.

Exercise 5.24

Here's the code:

  ;; Implemented explicitly as a basic special form, 
  ;; without converting to a nested if
  (assign unev (op cond-clauses) (reg exp))
  (assign exp (op first-exp) (reg unev))
  (test (op cond-else-clause?) (reg exp))
  (branch (label ev-cond-action))
  (save exp)
  (save env)
  (save unev)
  (save continue)
  ;; Setup an evaluation of the clause predicate
  (assign exp (op cond-predicate) (reg exp))
  (assign continue (label ev-cond-clause-decide))
  (goto (label eval-dispatch))

  (restore continue)
  (restore unev)
  (restore env)
  (restore exp)
  (test (op true?) (reg val))
  (branch (label ev-cond-action))
  (assign unev (op rest-exps) (reg unev))
  (goto (label ev-cond-ev-clause)) ; loop to next clause

  ;; We get here when the clause condition was found to
  ;; be true (or it was an 'else' clause), and we want
  ;; the actions to be evaluated. The clause is in exp.
  ;; We setup a call to ev-sequence and jump to it.
  (assign unev (op cond-actions) (reg exp))
  (save continue)
  (goto (label ev-sequence))

Now eval-dispatch can jump to ev-cond-basic:

  (test (op cond?) (reg exp))
  (branch (label ev-cond-basic))

Exercise 5.25

I'll pass.

Exercise 5.26

To make this work, I've re-included the modified make-new-machine and make-stack from exercise 5.14, and removed the command to reinitialize the stack after each executed expression in non-interactive-eval. The code I'm running is:

(define code
    (define (factorial n)
      (define (iter product counter)
        (if (> counter n)
            (iter (* counter product)
                  (+ counter 1))))
      (iter 1 1))

    (print (factorial 3))

(set-register-contents! ec-eval 'machine-args code)
(start ec-eval)


a. The maximal depth required for this code is 13


n pushes
2 113
3 148
4 183
5 218

From this, the number of pushes is 35n + 43.

Exercise 5.27

Type Maximal depth Number of pushes
Recursive 5n + 6 32n – 2
Iterative 13 35n + 43

Exercise 5.28

After changing ev-sequence to:

  (test (op no-more-exps?) (reg unev))
  (branch (label ev-sequence-end))
  (assign exp (op first-exp) (reg unev))
  (save unev)
  (save env)
  (assign continue (label ev-sequence-continue))
  (goto (label eval-dispatch))
  (restore env)
  (restore unev)
  (assign unev (op rest-exps) (reg unev))
  (goto (label ev-sequence))
  (restore continue)
  (goto (reg continue))

The table of exercise 5.27 turns into:

Type Maximal depth Number of pushes
Recursive 8n + 6 34n – 2
Iterative 3n + 17 37n + 47

Exercise 5.29


n depth
2 16
3 21
4 26
5 31

From this, the formula for depth is 5n + 6.


Let's collect some more data for this:

n pushes
2 86
3 142
4 254
5 422
6 702
7 1150
8 1878

It can be easily seen that S(n) = S(n-1) + S(n-2) + 26.

To find out a and b, I'll subtract S(n) from S(n+1) to cancel out b: S(n+1)-S(n) = a*Fib(n+2) - a*Fib(n+1) = a*(Fib(n+2) - Fib(n+1)). But due to the property of the Fibonacci series, this means that: S(n+1)-S(n) = a*Fib(n). And since S(n) = S(n-1) + S(n-2) + 26, we can rewrite it as a*Fib(n-1) = S(n-2) + 26, or S(n) = a*Fib(n+1) - 26.

Now we're ready to assign the various results into this to compute a. Having the formula and b in our hands, it's easy to see that a = 56.

So, finally: S(n) = 56Fib(n+1) - 26

Exercise 5.30

a. Maybe I'm missing something, but this doesn't seem to be so much work. After all, a variable is only handled in a single place in the eval dispatch, so this is the place to make a modification. First of all, I'll change the supporting Scheme code to have special values for unbound variables:

(define (lookup-variable-value var env)
  (define (env-loop env)
    (define (scan vars vals)
      (cond ((null? vars)
              (env-loop (enclosing-environment env)))
            ((eq? var (car vars))
              (cons 'bound (car vals)))
            (else (scan (cdr vars) (cdr vals)))))
    (if (eq? env the-empty-environment)
        (cons 'unbound '())
        (let ((frame (first-frame env)))
          (scan (frame-variables frame)
                (frame-values frame)))))
  (env-loop env))

(define (var-val-bound? varval)
    (pair? varval) 
    (eq? (car varval) 'bound)))

(define (var-val-extract-value varval)
  (cdr varval))

Now, changing ev-variable in the evaluator code:

  (assign val (op lookup-variable-value) (reg exp) (reg env))
  (test (op var-val-bound?) (reg val))
  (branch (label ev-variable-var-bound))
  (goto (label unbound-variable))
  (assign val (op var-val-extract-value) (reg val))
  (goto (reg continue))

And finally, a new error type:

  (assign val (const unbound-variable-error))
  (goto (label signal-error))

b. Well, this indeed is a lot of work, and it's very repetitive, so I'm reluctant to do it. The basic model is identical to what I've written in part a of this question.

Each primitive that can signal an error must be modified similarly to the way lookup-variable-value was modified, to return a pair of (error? value), with the appropriate support procedures. The evaluator code in primitive-apply must check for the error, similarly to the modified ev-variable in the code above.

1 Personally, I like the define-macro utility more than the Scheme's syntax-rules and syntax-case macro tools. define-macro is almost identical to Common Lisp's defmacro and is natively supported by the most common Scheme implementations (Bigloo, Chicken, Gambit, Gauche and PLT Scheme). To use it in PLT Scheme you'll have to include the defmacro.ss library:

(require (lib "defmacro.ss"))


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