...and then [Men] would or could be made to mate with Orcs, producing new breeds, often larger and more cunning. There is no doubt that long afterwards, in the Third Age, Saruman rediscovered this, or learned of it in lore, and in his lust for mastery commited this, his wickedest deed: the interbreeding of Orcs and Men, producing both Men-orcs large and cunning, and Orc-men treacherous and vile.
--- J.R.R. Tolkien, Morgoth's Ring
How can we tolerate these indignities [being forced to program in Fortran or C equivalents because more creative programming languages are supressed]? The frustratingly simple answer is the universal nature of programming languages---the fact that one can program in any one of them what can be programmed in any other. We are able to clever our way out of any programming box. The more difficult the task, the more pride we can take in the accomplishment.
--- Richard Gabriel and Ron Goldman, "Mob Software: The Erotic Life of Code"
The goal of this lab is to practice using function pointers to emulate in C the object oriented features of encapsulating (data and functionality together), subtyping, and polymorphism.
The first C++ compilers simply translated C++ programs to C source, which was then fed into a C compiler. Also during the early days of Java, someone bothered to write a Java-to-C compiler (rather than compiling Java to bytecode/classfiles).
How is a translation like this possible, since C lacks so many of the core elements of a language like Java? For one thing, C's programming concepts aren't much different from how the computer (at the hardware level) actually works--- and obviously Java programs can be run on a real computer. Besides, the Church-Turing thesis tells us that all models of computing are equivalent to each other.
As we began to imagine in class yesterday, function pointers help a lot for doing something in C that looks like polymorphism. (In fact, it is polymorphism, just not subtype polymorphism.) In this lab, we will fill out the details.
The example we are going to work on comes from one of the
first examples of subtyping and dynamic dispatch I use in CS 235.
Suppose we need to model several kinds of mathematical functions
(polynomial, step, exponential...), each of which needs to provide
methods for evaluation, differentiation, and integration.
To implement this, we have a Function
interface
implemented by Polynomial
,
Step
, and Exp
classes.
Look over the handout to familiarize yourself with this.
Copy the following files from course public directory.
cp /cslab/class/cs245/lab15/* .
function.h
Open function.h
.
This is equivalent to Function.java
in that its
purpose is to define a type according to a set of operations,
like an interface.
Open functiondriver.c
and notice how
this type is used.
As we know, C's facility for making new types is the struct. Structs cannot have behavioral members (ie, methods), but we can emulate methods by letting it have function pointers. A circle type, for example, which would contain methods for computing the circumerence and area, might look like
struct circle_t { double radius; double (*circumference) (struct circle_t * this); double (*area) (struct circle_t * this); }; typedef struct circle_t circle;
Note that the functions circumference()
and area()
have a circle *
parameter.
That's because otherwise the function has no reference to the "receiver"
of the "method call."
We need to pass that reference as a parameter (which is why I call that
parameter this
).
This is actually a realistic "translation" of what's going behind the
scenes during method dispatch in Java;
in Java bytecode, for example, all non-static methods have one extra
parameter for passing a reference to the receiver.
We would then need to write functions to serve for
circumference()
and area()
.
double circumference_c(circle* this) { return 3.14159 * 2 * this->radius; } double area_c(circle* this) { return 3.14159 * this->radius * this->radius; }
Finally, a constructor-like function would create an "instance."
circle* newCircle(double radius) { circle* toReturn = (circle*) malloc(sizeof(circle)); toReturn->circumference = circumference_c; toReturn->area = area_c; toReturn->radius = radius; return toReturn; }
Notice how the constructor-like function needs to initialize the function pointers.
Turning back to our example of implementing different kinds
of mathematical function objects,
we have an extra problem: We don't know what data member
function
should have, since that will vary among the subtypes.
To handle this, we give struct function_t
a field
data
of type void *
,
which is C's way of saying "pointer to a value of an unknown type"
(compare with Java's Object
class).
We will set data
to refer to structs polynomial
,
step
, and exponential
.
Two more things about function.h
:
First, it also has a function pointer called destroy
,
to refer to a function that deallocates the structure.
Second, the #ifndef FUNCTION ... #endif
stuff
prevents this file from being included more than once.
Inspect the type definition for polynomial
in
polynomial.h
,
and understand how the implementation of an evaluate
function works in polynomial.c
.
The function is called evaulate_p()
("p" is for "polynomial")
to distinguish it from the evaluate()
function for
the function struct.
For convenience (to avoid lots of casts), you will probably want almost all of the functions you write to day to include a line like
polynomial data = (polynomial) this->data;
Your task is to finish this file by filling in the other functions.
differentiate_p()
Notice that for finding a
derivative, you need to make a new polynomial (which means
making both a polynomial
and function
object.
You'll have to recall calculus rules to figure out what the coefficient
array will have to be for the resulting polynomial, but notice that
it will be one item shorter than the original.
integrate_p()
This is for calculating a definite integral.
Again, you'll have to use the rules of calculus to figure out how to calculate
this from the coefficient array.
destroy_p()
Deallocate the coefficient array,
the polynomial object, and the struct object.
newPolynomial()
Create a new polynomial and function
object.
This should be easy since you will repeat some of your code from
differentiate_p()
.
Do not just set the new polynomial's array to the array you are given,
since you don't have control on when that array may be deallocated.
Instead, copy its contents into a new array.
Deallocate everything you allocate! For every use of malloc
or calloc
, be able to identify a call to free
which
will undo the allocation.
Then compile and test using the given driver.
gcc -c polynomial.c gcc -c functiondriver.c gcc -o functiondriver functiondriver.o polynomial.o
Then make types for step functions and exponential functions in appropriate files. Uncomment the appropriate lines in the driver to test them.
For the exponential type, you will probably want to use the
standard function pow()
, which works just like
Java's Math.pow()
.
You'll need to include math.h
, and with you
do your final compilation, you'll need to use the -lm
flag, which links the math library.
E = 2.718281828459045
gcc -c exponential.c gcc -c functiondriver.c gcc -o -lm functiondriver functiondriver.o polynomial.o exponential.o
Turn in a hardcopy of the classes you wrote.