The standard way in which names are looked up in Scheme and Python.
Lexical (static) scope: The parent of a frame is the frame in which a procedure was defined
(define f (lambda (x) (+ x y)))
(define g (lambda (x y) (f (+ x x))))
(g 3 7)
| f | → | λ (x) |
| g | → | λ (x, y) |
| x | 3 | |
| y | 7 |
| x | 6 |
What happens when we run this code?
Error: unknown identifier: y
An alternate approach to scoping supported by some languages.
Dynamic scope: The parent of a frame is the frame in which a procedure was called
Scheme includes the mu special form for dynamic scoping.
(define f (mu (x) (+ x y)))
(define g (lambda (x y) (f (+ x x))))
(g 3 7)
| f | → | μ (x) |
| g | → | λ (x, y) |
| x | 3 | |
| y | 7 |
| x | 6 |
What happens when we run this code?
13
| Code | Time | Space |
|---|---|---|
| Linear | Constant |
| Linear | Linear |
In Python, recursive calls always create new frames.
def factorial(n, k):
if n == 0:
return k
else:
return factorial(n-1, k*n)
Active frames over time:
In Scheme interpreters, a tail-recursive function should only require a constant number of active frames.
(define (factorial n k)
(if (= n 0)
k
(factorial (- n 1) (* k n))))
Active frames over time:
In a tail recursive function, every recursive call must be a tail call.
(define (factorial n k)
(if (= n 0)
k
(factorial (- n 1) (* k n))))
A tail call is a call expression in a tail context:
lambda expression
if expression
cond
and, or, begin, or let
(define (length s)
(if (null? s) 0
(+ 1 (length (cdr s)) ) )
A call expression is not a tail call if more computation is still required in the calling procedure.
But linear recursive procedures can often be re-written to use tail calls...
(define (length-tail s)
(define (length-iter s n)
(if (null? s) n
(length-iter (cdr s) (+ 1 n)) ) )
(length-iter s 0) )
;; Compute the length of s.
(define (length s)
(+ 1 (if (null? s)
-1
(length (cdr s))) ) )
❌ No, because if is not in a tail context.
;; Return whether s contains v.
(define (contains s v)
(if (null? s)
false
(if (= v (car s))
true
(contains (cdr s) v))))
✅ Yes, because contains is in a tail context if.
;; Return whether s has any repeated elements.
(define (has-repeat s)
(if (null? s)
false
(if (contains? (cdr s) (car s))
true
(has-repeat (cdr s))) ) )
✅ Yes, because has-repeat is in a tail context.
;; Return the nth Fibonacci number.
(define (fib n)
(define (fib-iter current k)
(if (= k n)
current
(fib-iter (+ current
(fib (- k 1)))
(+ k 1)) ) )
(if (= 1 n) 0 (fib-iter 1 2)))
❌ No, because fib is not in a tail context.
(reduce * '(3 4 5) 2) 120
(reduce (lambda (x y) (cons y x)) '(3 4 5) '(2)) (5 4 3 2)
(define (reduce procedure s start)
(if (null? s) start
(reduce procedure
(cdr s)
(procedure start (car s)) ) ) )
Is it tail recursive?
✅ Yes, because reduce is in a tail context.
However, if procedure is not tail recursive,
then this may still require more than constant space for execution.
(map (lambda (x) (- 5 x)) (list 1 2))
(define (map procedure s)
(if (null? s)
nil
(cons (procedure (car s))
(map procedure (cdr s))) ) )
Is it tail recursive?
❌ No, because map is not in a tail context.
(define (map procedure s)
(define (map-reverse s m)
(if (null? s)
m
(map-reverse (cdr s) (cons (procedure (car s)) m))))
(reverse (map-reverse s nil)))
(define (reverse s)
(define (reverse-iter s r)
(if (null? s)
r
(reverse-iter (cdr s) (cons (car s) r))))
(reverse-iter s nil))
(map (lambda (x) (- 5 x)) (list 1 2))
Thunk: An expression wrapped in an argument-less function.
Making thunks in Python:
thunk1 = lambda: 2 * (3 + 4)
thunk2 = lambda: add(2, 4)
Calling a thunk later:
thunk1()
thunk2()
Trampoline: A loop that iteratively invokes thunk-returning functions.
def trampoline(f, *args):
v = f(*args)
while callable(v):
v = v()
return v
The function needs to be thunk-returning! One possibility:
def factorial_thunked(n, k):
if n == 0:
return k
else:
return lambda: factorial_thunked(n - 1, k * n)
trampoline(factorial_thunked, 3, 1)
The Scheme project EC is to implement trampolining. Let's see how it improves the ability to call tail recursive functions...