insert-item and
insertion-sort, for sorting a list of numbers:
(define insert-item
(lambda (item ls)
(if (or (null? ls) (<= item (car ls)))
(cons item ls)
(cons (car ls) (insert-item item (cdr ls)))
)
)
)
(define insertion-sort
(lambda (ls)
(if (null? ls)
ls
(insert-item (car ls) (insertion-sort (cdr ls)))
)
)
)
Each of these procedures is recursive, and the Scheme interpreter keeps
track of various bindings of the paramter ls. For example, if
trace-define is used for insertion-sort and the
procedure is run on the list (3 1 4 1 5), the following output
results:
> (insertion-sort '(3 1 4 1 5))
|(insertion-sort (3 1 4 1 5))
| (insertion-sort (1 4 1 5))
| |(insertion-sort (4 1 5))
| | (insertion-sort (1 5))
| | |(insertion-sort (5))
| | | (insertion-sort ())
| | | ()
| | |(5)
| | (1 5)
| |(1 4 5)
| (1 1 4 5)
|(1 1 3 4 5)
(1 1 3 4 5)
Here, the binding of the parameter ls is like writing the
variable and its value on a three-by-five card and filing it away in a box
of similar cards. Successive procedure calls introduce a new card with the
new value on it, and this value is paper-clipped to the front of the card
for the old binding. During the procedure call, the new binding takes
precedence over the old one, since its card is on top; but when the
procedure returns, the top card is removed and thrown away, and the old
binding is still in place and in force. The Scheme interpreter maintains
an internal table of variables and values that is similar to such a card
box. In Scheme, this table of variables and values is called an
``environment.''
A let-expression produces a similar effect.
> (define str "original binding")
> str
"original binding"
> (let ((str "new binding"))
str)
"new binding"
> str
"original binding"
Explain how this output is achieved.
> (define str "original binding")
> (let ((str "second binding"))
(display "2: ") (display str) (newline)
(let ((str "third binding"))
(display "3: ") (display str) (newline)
(let ((str "fourth binding"))
(display "4: ") (display str) (newline)
(let ((str "fifth binding"))
(display "5: ") (display str) (newline))
(display "4: ") (display str) (newline))
(display "3: ") (display str) (newline))
(display "2: ") (display str) (newline))
Run this code, describe the output, and explain how
that result is achieved.
In recognition of this difference in the way the bindings are treated,
variables that are either predefined or bound by top-level definitions are
sometimes called global variables, while procedure parameters and
variables that appear in the binding lists of let-expressions
are local variables. (A top-level redefinition of a variable
changes its value ``globally'' -- through all subsequent uses of that
binding -- whereas other rebindings change the value only ``locally,''
within a procedure body or the body of a let-expression.)
define statement
establishes a new variable and gives it a value. Subsequent uses of
define at Scheme's top level change that value.
Within a procedure, an assignment or set! expression changes a
binding, as shown in the following example:
> (define ch #\A)
> ch
#\A
> (define ch #\B)
> ch
#\B
> (set! ch #\C)
> ch
#\C
> (set! ch #\D)
> ch
#\D
> (let ((ch #\E))
(display "0: ") (display ch) (newline)
(set! ch #\F)
(display "1: ") (display ch) (newline)
(set! ch #\G)
(display "2: ") (display ch) (newline)
(set! ch (integer->char 114))
(display "3: ") (display ch) (newline)
(set! ch "I'm tired of this game.")
(display "4: ") (display ch) (newline))
0: E
1: F
2: G
3: r
4: I'm tired of this game.
> ch
#\D
ch is both a global and a local variable. Be sure you
can explain which value is changed when and why.
It is an error to assign a new value to a variable that is not bound at all -- if there is no card in the box for a certain variable, there's nothing to erase. (Chez Scheme will step in and create a global variable for you if you commit this error, but most implementations of Scheme are not so considerate.)
Similarly, the operations set-car!, set-cdr!,
and append! change various parts of a list.
insert-item and insertion-sort
procedures return a newly sorted list, which is separate from the original
list. If we always want to sort data stored in a global variable
data, then we can use set! to update such data as
follows:
First, we define a simple, parameterless procedure:
(define sort-data
(lambda ()
(set! data (insertion-sort data))
)
)
Then, we call this procedure whenever the data list is to be
sorted.
insert-item,
insertion-sort, and sort-data, run the following
sequence of operations:
(define data '(3 1 6 -8 4))
data
(sort-data)
data
Explain the results you obtain.
car and cdr of the list, as shown in
the following variation of insertion-sort:
(define insertion-sort
(lambda (ls)
(letrec ((sort-data
(lambda (lst)
(if (null? lst)
lst
(insert-item (car lst) (sort-data (cdr lst)))))))
(let ((result (sort-data ls)))
(set-car! ls (car result))
(set-cdr! ls (cdr result))
result
)
)
)
)
insertion-sort, run the following
sequence of operations:
(define first '(3 1 6 -8 4))
first
(define second '(5 3 7 9 2 6 1 8))
second
(insertion-sort first)
(insertion-sort second)
first
second
insertion-sort produces its output; that is,
hypothesize how is the parameter changed.
result within the
let statement; what happens if this line is omitted?
(define insertion-sort
(lambda (ls)
(letrec ((sort-data
(lambda (lst)
(if (null? lst)
lst
(insert-item (car lst) (sort-data (cdr lst)))))))
(let ((result (sort-data ls)))
(set! ls result)
ls
)
)
)
)
first points to the designated list:
When insertion-sort is called, parameter ls is
made to point to the same list:
When procedure sort-data is called, a new ordered list is
returned, and variable result is set to designate this new
list:
The set! expression changes ls to point to the
new list:
The final line ls returns this new list as the result of the
procedure. However, as the diagram shows, the variable first
still points to the original, unchanged list.
insertion-sort from
step 4 to clarify further why the code with set-car! and
set-cdr! works correctly -- even though the latest version
with (set! ls result) does not change the global variable.
This document is available on the World Wide Web as
http://www.math.grin.edu/~walker/courses/153/lab-mutation.html