Suppose we want to handle complex numbers whose real parts, imaginary parts, magnitudes, and angles can be either ordinary numbers, rational numbers, or other numbers we might wish to add to the system. Describe and implement the changes to the system needed to accommodate this. You will have to define operations such as
sine
and cosine
that are generic over ordinary numbers and rational numbers.Type Validation
If you recall, back in exercise 2.83 we augmented all of the procedures installed under the'make
key to validate the (Scheme built-in) types of the numeric operands passed to them to ensure that we could only construct valid representations of numbers. In the case of the complex
package we restricted the real and imaginary parts, magnitudes and angles to Scheme real numbers by using real?
to test each operand passed to the make-from-real-imag
and make-from-mag-ang
procedures defined in the rectangular
and polar
packages.I'm assuming that, as we're going to allow the use of the integer, rational and real number representations provided by the
integer
, rational
and real
packages as the numeric operands for constructing complex
representations, we're now going to disallow the use of the built-in Scheme real numbers. This means we need to replace the existing tests with ones that test that the operands are using numeric representations from within our tower-of-types
. To ensure that we're not trying to build complex numbers with components that are themselves complex numbers we'll go one step further and ensure that the type we're using is lower in the tower than 'complex
.In the preceding exercise we devised a simple test for the first part of this restriction, which we used in
apply-generic
to determine whether or not we should drop
the result down the tower-of-types
: we check that the value is a pair and, if it is, get its type-tag
and check that this is in the tower-of-types
using memq
. We can extract this to its own procedure:
(define (in-tower? value) (and (pair? value) (memq (type-tag value) tower-of-types)))To perform the second part of the test, i.e. to check that the value's type is lower than
'complex
, we can use the fact that the tower-of-types
is a list ordered from lowest to highest in the tower. Recall that if the procedure memq
finds the requested element in the provided list then it returns the tail of that list from that element onwards. If we use memq
with the type we want to ensure is higher in the tower ('complex
in this case, but let's call it T) then, provided T is present in the tower-of-types
, memq
will return a list consisting of T and all higher types. We can then check whether or not the type of the value we want to check is lower than T by testing to see whether it's present in the list of types that are T or higher. Iff it's not present in that list then it's a lower type.Here's our procedure:
(define (is-lower? value type) (let ((type-and-higher (memq type tower-of-types))) (if (and type-and-higher (in-tower? value)) (not (memq (type-tag value) type-and-higher)) (error "Either value's type or type is not in tower-of-types" (list value type)))))Let's see it in action:
> (is-lower? (make-integer 4) 'complex) #t > (is-lower? (make-rational 3 4) 'real) #t > (is-lower? (make-rational 3 4) 'rational) #f > (is-lower? (make-rational 3 4) 'integer) #fWe can then update the
rectangular
and polar
packages to use this test instead of real?
:
(define (install-rectangular-package) ;; internal procedures … (define (make-from-real-imag x y) (if (and (is-lower? x 'complex) (is-lower? y 'complex)) (cons x y) (error "non-real real or imaginary value" (list x y)))) … (define (make-from-mag-ang r a) (if (and (is-lower? r 'complex) (is-lower? a 'complex)) (cons (* r (cos a)) (* r (sin a))) (error "non-real magnitude or angle" (list r a)))) … ;; interface to the rest of the system … 'done) (define (install-polar-package) ;; internal procedures … (define (make-from-mag-ang r a) (if (and (is-lower? r 'complex) (is-lower? a 'complex)) (cons r a) (error "non-real magnitude or angle" (list r a)))) … (define (make-from-real-imag x y) (if (and (is-lower? x 'complex) (is-lower? y 'complex)) (cons (sqrt (add (square x) (square y))) (atan y x)) (error "non-real real or imaginary value" (list x y)))) … ;; interface to the rest of the system … 'done)
Generic Arithmetic Operations
Next let's think about the further changes we need to make to therectangular
and polar
packages, as well as the changes we'll need to make to the complex
package, in order that the operations defined within these packages can work with our system's numeric representations.The exercise says "you will have to define operations such as
sine
and cosine
that are generic over ordinary numbers and rational numbers." We'll need to go further than just defining generic equivalents for the trigonometric functions though. We'll need to define generic equivalents for all mathematical functions used within the complex
packages. Once we've done that we can then replace all of the built-in mathematical functions within the complex
packages with their generic equivalents.Looking at the
complex
package and the two sub-packages, rectangular
and polar
we can see that the built-in mathematical functions that we'll need generic equivalents for are: +
, -
, *
, /
, =
, sqrt
, square
, atan
, cos
and sin
. We've already got generic equivalents for the first five: add
, sub
, mul
and divide
respectively for the first four, and equ?
/=zero?
for =
depending upon the value we're comparing.Let's move on to the remaining functions.
We can produce the generic operations in the usual manner:
(define (square-root x) (apply-generic 'sqrt x)) (define (square x) (apply-generic 'square x)) (define (arctan x y) (apply-generic 'arctan x y)) (define (cosine x) (apply-generic 'cosine x)) (define (sine x) (apply-generic 'sine x))All that remains is to install appropriate implementations of these in each of the packages lower in the
tower-of-types
than 'complex
.The procedures we need to install for
'square
are straightforward. For 'integer
and 'real
values we can just use the built-in *
operation and multiply the underlying numeric value by itself. For 'rational
numbers we can simply use mul-rat
to multiply the rational number by itself. The result can then be tagged as normal.As for the square root and trigonometric functions, while we could calculate these using the techniques we learned back in section 1.3.3 and its associated exercises (e.g. such as exercise 1.39), we'll go easy on ourselves and just delegate to the corresponding built-in operations appropriately for each type. However, we do need to treat the results of these operations carefully:
- Given Scheme integer, rational or real values, the results of the built-in trigonometric operations may themselves be Scheme real numbers so, apart from in the
real
package, we can't just tag the results of the delegated operation normally. Instead we'll have to createreal
representations from them. - Worse still, the result of the built-in
sqrt
operation may be a Scheme complex number. In this case we'll need to extract out the real and imaginary parts of the result and use these to create acomplex
representation... And as we're updating the system so that complex numbers can only be constructed using our system's own number representations, we'll have to turn the real and imaginary parts intoreal
representations in order for us to construct thecomplex
representation.
drop
the number's type to the simplest representation available.It's possibly worth noting that the complexity of dealing with the results of
sqrt
points to another piece of work we need to do. As complex
representations can only be created using representations from within the tower-of-types
we'll need to update the coercion procedure real->complex
to that it too turns the components into real
representations.Given all that, here are the changes required to the
integer
, rational
and real
packages in order to install the procedures and support the complex
package restrictions:
(define (install-integer-package) … (put 'sqrt '(integer) (lambda (x) (let ((root (sqrt x))) (make-complex-from-real-imag (make-real (real-part root)) (make-real (imag-part root)))))) (put 'square '(integer) (lambda (x) (tag (* x x)))) (put 'arctan '(integer integer) (lambda (x y) (make-real (atan x y)))) (put 'cosine '(integer) (lambda (x) (make-real (cos x)))) (put 'sine '(integer) (lambda (x) (make-real (sin x)))) … 'done) (define (install-rational-package) ;; internal procedures … (define (sqrt-rat x) (let ((root (sqrt (/ (numer x) (denom x))))) (make-complex-from-real-imag (make-real (real-part root)) (make-real (imag-part root))))) (define (square-rat x) (mul-rat x x)) (define (arctan-rat x y) (atan (/ (numer x) (denom x)) (/ (numer y) (denom y)))) (define (cosine-rat x) (cos (/ (numer x) (denom x)))) (define (sine-rat x) (sin (/ (numer x) (denom x)))) … ;; interface to rest of the system … (put 'sqrt '(rational) (lambda (x) (make-real (sqrt-rat x)))) (put 'square '(rational) (lambda (x) (tag (square-rat x)))) (put 'arctan '(rational rational) (lambda (x y) (make-real (arctan-rat x y)))) (put 'cosine '(rational) (lambda (x) (make-real (cosine-rat x)))) (put 'sine '(rational) (lambda (x) (make-real (sine-rat x)))) … 'done) (define (install-real-package) … (define (real->complex r) (make-complex-from-real-imag (tag r) (tag 0))) … (put 'sqrt '(real) (lambda (x) (let ((root (sqrt x))) (make-complex-from-real-imag (tag (real-part root)) (tag (imag-part root)))))) (put 'square '(real) (lambda (x) (tag (* x x)))) (put 'arctan '(real real) (lambda (x y) (tag (atan x y)))) (put 'cosine '(real) (lambda (x) (tag (cos x)))) (put 'sine '(real) (lambda (x) (tag (sin x)))) … 'done)Before we go any further, let's give this a spin:
> (square-root (make-real 16.0)) (integer . 4) > (square (make-rational 3 5)) (rational 9 . 25) > (cosine (make-integer 0)) (integer . 1) > (cos 0) 1.0 > (sine (make-integer 3)) (rational 5084384125703515 . 36028797018963968) > (/ 5084384125703515.0 36028797018963968.0) 0.141120008059867 > (sin 3) 0.141120008059867 > (arctan (make-integer 3) (make-integer 4)) (rational 5796142707547873 . 9007199254740992) > (/ 5796142707547873.0 9007199254740992.0) 0.643501108793284 > (atan 3 4) 0.643501108793284
Updating the complex
Packages
All that remains is to go through the rectangular
, polar
and complex
packages and replace all the built-in operations with our generic equivalents.Note that the changes we'll make to
make-from-mag-ang
in the rectangular
package and to make-from-real-imag
in the polar
package will have the effect of drop
ping the calculated components of the created complex representation. To keep everything consistent, let's explicitly drop
the components passed to make-from-real-imag
in the rectangular
package and to make-from-mag-ang
in the polar
package.Here are the changes to the packages:
(define (install-rectangular-package) ;; internal procedures … (define (make-from-real-imag x y) (if (and (is-lower? x 'complex) (is-lower? y 'complex)) (cons (drop x) (drop y)) (error "non-real real or imaginary value" (list x y)))) (define (magnitude z) (square-root (add (square (real-part z)) (square (imag-part z))))) (define (angle z) (arctan (imag-part z) (real-part z))) (define (make-from-mag-ang r a) (if (and (is-lower? r 'complex) (is-lower? a 'complex)) (cons (mul r (cosine a)) (mul r (sine a))) (error "non-real magnitude or angle" (list r a)))) … ;; interface to the rest of the system … 'done) (define (install-polar-package) ;; internal procedures … (define (make-from-mag-ang r a) (if (and (is-lower? r 'complex) (is-lower? a 'complex)) (cons (drop r) (drop a)) (error "non-real magnitude or angle" (list r a)))) (define (real-part z) (mul (magnitude z) (cosine (angle z)))) (define (imag-part z) (mul (magnitude z) (sine (angle z)))) (define (make-from-real-imag x y) (if (and (is-lower? x 'complex) (is-lower? y 'complex)) (cons (square-root (add (square x) (square y))) (arctan y x)) (error "non-real real or imaginary value" (list x y)))) … ;; interface to the rest of the system … 'done) (define (install-complex-package) ;; imported procedures from rectangular and polar packages … ;; internal procedures … (define (add-complex z1 z2) (make-from-real-imag (add (complex-real-part z1) (complex-real-part z2)) (add (complex-imag-part z1) (complex-imag-part z2)))) (define (sub-complex z1 z2) (make-from-real-imag (sub (complex-real-part z1) (complex-real-part z2)) (sub (complex-imag-part z1) (complex-imag-part z2)))) (define (mul-complex z1 z2) (make-from-mag-ang (mul (complex-magnitude z1) (complex-magnitude z2)) (add (complex-angle z1) (complex-angle z2)))) (define (div-complex z1 z2) (make-from-mag-ang (div (complex-magnitude z1) (complex-magnitude z2)) (sub (complex-angle z1) (complex-angle z2)))) (define (equ-complex? z1 z2) (and (equ? (complex-real-part z1) (complex-real-part z2)) (equ? (complex-imag-part z1) (complex-imag-part z2)))) (define (=zero-complex? x) (=zero? (complex-magnitude x))) (define (addd-complex z1 z2 z3) (make-from-real-imag (addd (complex-real-part z1) (complex-real-part z2) (complex-real-part z3)) (addd (complex-imag-part z1) (complex-imag-part z2) (complex-imag-part z3)))) … ;; interface to rest of the system … 'done)I've included the
addd
procedure we added in exercise 2.82 as well for completeness.Okay, let's see this all in action:
> (square-root (make-integer -1)) (complex rectangular (integer . 0) integer . 1) > (make-complex-from-real-imag (make-real 3.0) (make-rational 1 2)) (complex rectangular (integer . 3) rational 1 . 2) > (add (make-complex-from-real-imag (make-integer 4) (make-rational 2 4)) (make-integer 4)) (complex rectangular (integer . 8) rational 1 . 2) > (sub (make-complex-from-real-imag (make-real 1.5) (make-integer 3)) (make-complex-from-real-imag (make-rational 1 2) (make-integer 3))) (integer . 1)
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