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Programming Languages 2nd edition Tucker and Noonan Chapter 9 Functions It is better to have 100 functions operate on one data structure than 10 functions on 10 data structures. A. Perlis

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Programming Languages 2nd edition Tucker and Noonan. Chapter 9 Functions It is better to have 100 functions operate on one data structure than 10 functions on 10 data structures. A. Perlis. Contents. 9.1 Basic Terminology 9.2 Function Call and Return 9.3 Parameters - PowerPoint PPT Presentation

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Page 1: Programming Languages 2nd edition Tucker and Noonan

Programming Languages2nd edition

Tucker and Noonan

Chapter 9

Functions

It is better to have 100 functions operate on one data structure than 10 functions on 10 data structures.

A. Perlis

Page 2: Programming Languages 2nd edition Tucker and Noonan

Contents

9.1 Basic Terminology

9.2 Function Call and Return

9.3 Parameters

9.4 Parameter Passing Mechanisms

9.5 Activation Records

9.6 Recursive Functions

9.7 Run Time Stack

Page 3: Programming Languages 2nd edition Tucker and Noonan

9.1 Basic Terminology

• Value-returning functions:– known as “non-void functions/methods” in C/C+

+/Java– called from within an expression; e.g., x = (b*b - sqrt(4*a*c))/2*a

• Non-value-returning functions:– known as “procedures” in Ada, “subroutines” in

Fortran, “void functions/methods” in C/C++/Java– called from a separate statement; e.g., strcpy(s1, s2);

Page 4: Programming Languages 2nd edition Tucker and Noonan

9.2 Function Call and ReturnFig 9.1 :

Example C/C++

Program

int h, i;void B(int w) { int j, k; i = 2*w; w = w+1;} void A(int x, int y) { bool i, j; B(h);}int main() { int a, b; h = 5; a = 3; b = 2; A(a, b);}

Page 5: Programming Languages 2nd edition Tucker and Noonan

9.3 Parameters

• Definitions– An argument is an expression that appears in a

function call.– A parameter is an identifier that appears in a

function declaration.

• E.g., in Figure 9.1– The call A(a, b) has arguments a and b.– The function declaration A has parameters x

and y.

Page 6: Programming Languages 2nd edition Tucker and Noonan

Parameter-Argument Matching

• Usually by number and by position.– i.e., any call to A must have two arguments, and they

must match the corresponding parameters’ types.• Exceptions:

– Python: parameters aren’t typed– Perl - parameters aren’t declared in a function

header. Instead, parameters are stored in an array @_, and are accessed using an array index.

– Ada - arguments and parameters can be linked by name; e.g., the call A(y=>b, x=>a) is the same as A(a,b).

Page 7: Programming Languages 2nd edition Tucker and Noonan

9.4 Parameter Passing Mechanisms

• By value

• By reference

• By value-result

• By result

• By name

Page 8: Programming Languages 2nd edition Tucker and Noonan

Pass by Value

• Compute the value of the argument at the time of the call and assign that value to the parameter.

• e.g., in the call A(a, b) in Fig. 9.1, a and b are passed by value. So the values of parameters x and y become 3 and 2, respectively when the call begins.

Page 9: Programming Languages 2nd edition Tucker and Noonan

Pass by Value

• Pass by value doesn’t allow the called function to modify an argument’s value in the caller’s environment.

• Technically, all arguments in C and Java are passed by value.

• But references can be passed to allow argument values to be modified.

Page 10: Programming Languages 2nd edition Tucker and Noonan

Simulating Pass by Reference in C

Compute the address of the argument at the time of the call and assign it to the parameter.

int h, i;void B(int* w) { int j, k; i = 2*(*w); *w = *w+1;} void A(int* x, int* y) { bool i, j; B(&h);}int main() { int a, b; h = 5; a = 3; b = 2; A(&a, &b);}

Page 11: Programming Languages 2nd edition Tucker and Noonan

Pass By Reference

• Pass by reference means the memory address of the argument is copied to the corresponding parameter so the parameter is an indirect reference (a pointer) to the actual argument.

• Assignments to the parameter affect the value of the argument directly, rather than a copy of the value. This is an example of a side effect.

Page 12: Programming Languages 2nd edition Tucker and Noonan

Pass By Reference

• In languages like C++ that support both value and reference parameters, there must be a way to indicate which is which. – In C++, this is done by preceding the

parameter name in the function definition with an ampersand (&) if the parameter is a reference parameter. Otherwise, it is a value parameter.

Page 13: Programming Languages 2nd edition Tucker and Noonan

Pass by Value-Result and Result

• Pass by value-result: Pass by value at the time of the call and copy the result back to the argument at the end of the call. – E.g., Ada’s in out parameter can be

implemented as value-result.– Value-result is often called copy-in-copy-out.

• Pass by result: Copy the final value of the parameter out to the argument at the end of the function call.

Page 14: Programming Languages 2nd edition Tucker and Noonan

Aliasing• Reference and value-result are the

same, except when aliasing occurs. • Aliasing:refer to the same variable by two

names; e.g.,– the same variable is both passed and

globally referenced from the called function,– the same variable is passed to two different

parameters using a parameter method other than pass by value.

– Having two pointers to the same location

Page 15: Programming Languages 2nd edition Tucker and Noonan

Example of Effect

void f (int& x, int&y)

{x = x + 1;y = y + 1;

}

C++f(a,b) versus f(a,a)

Procedure f (x, y: in out Integer) is

beginx = x + 1;y = y + 1;

end f;

Ada:

f(a,b) versus f(a,a)

Page 16: Programming Languages 2nd edition Tucker and Noonan

Pass by Name• Textually substitute the argument for every

instance of its corresponding parameter in the function body. – Originated with Algol 60, but was dropped by

Algol’s successors -- Pascal, Ada, Modula.– Exemplifies late binding, since evaluation of

the argument is delayed until its occurrence in the function body is actually executed.

– Associated with lazy evaluation in functional languages (see, e.g., Haskell discussion in Chapter 14).

Page 17: Programming Languages 2nd edition Tucker and Noonan

Example from Algolprocedure swap(a, b);

integer a, b; // declare parameter types

begin integer t; // declare local variablet = a; // t = i (3)a = b; // i = a[i] (1)b = t; // a[i] = i (1)

end;

Consider the call swap(i, a[i])

where i = 3 and a = result: a[1] = 1; i = 1

Consider

9 4 -1 1 14

Page 18: Programming Languages 2nd edition Tucker and Noonan

Side Effects• Some methods of parameter passing cause

side effects, in this case meaning a change to the non-local environment. – Call by value is “safe” – there are no side

effects. – Pass by reference can cause side effects.

• Side effects may compromise readability and reliability. – Example: p = (y*x) + f(x, y)*z;– If y is a reference parameter results could

depend on the operand evaluation order

Page 19: Programming Languages 2nd edition Tucker and Noonan

Implementing Functions

Activation Records

And

The Run-time Stack

Page 20: Programming Languages 2nd edition Tucker and Noonan

9.5 Activation Records• A block of information associated with

each function call, which includes:• Parameters and local variables• Return address• Saved registers• Temporary variables• Return value (if any)• Static link - to the function’s static parent

• Static link reflects static scope rules• Dynamic link - to the activation record of the

caller

Page 21: Programming Languages 2nd edition Tucker and Noonan

Static & Dynamic Links• Static link: points to the bottom of the Activation

Record (AR) of the static parent; used to resolve non-local references. – Needed in languages that allow nested function

definitions (Pascal, Algol, Ada, Java’s inner classes) and for languages that have global variables or nested blocks.

• Dynamic link: points the top of the AR of the calling function; used to reset the runtime stack– In dynamically scoped languages (if there were

any) it could also be used to resolve non-local references

Page 22: Programming Languages 2nd edition Tucker and Noonan

Simplified structure of a Called Method’s Stack Frame

Other values (return address, saved register values, space for temporary storage and return values) will also be allocated in the stack frame.

Page 23: Programming Languages 2nd edition Tucker and Noonan

Activation Record Stack

• Activation records are created when a function (or block) is called and deleted when the function returns to its caller (based on a template prepared by the compiler)

• The stack is a natural structure for storing the activation records (sometimes called stack frames).

• The AR at the top of the stack contains information about the currently executing function/block.

Page 24: Programming Languages 2nd edition Tucker and Noonan

Types of Data Storage• Static – permanent allocation (e.g., h

and i in the sample program)

• Stack: (stack-dynamic allocation)

• Heap: storage allocated/deallocated in a less predictable order (dynamic memory allocation)More about this in the next chapter

Page 25: Programming Languages 2nd edition Tucker and Noonan

Why Stacks?

• Early languages did not use this approach – all data needed for a function’s activation was allocated statically at compile time.

• Result: Only one set of locations for each function– One set of locations for parameters– One set of locations for local variables,– One set of locations for return addresses,– Etc.

• What about recursive functions?

Page 26: Programming Languages 2nd edition Tucker and Noonan

9.6 Recursive Functions

• A function that can call itself, either directly or indirectly, is a recursive function; e.g.,

int factorial (int n) {if (n < 2)

return 1;else return n*factorial(n-1);

}self-call

Page 27: Programming Languages 2nd edition Tucker and Noonan

9.6 Recursive Functions

• When the first call is made, create an activation record to hold its information

• Each recursive call from the else will cause another activation record to be added.

else return n*factorial(n-1);

Recursive self-call

Page 28: Programming Languages 2nd edition Tucker and Noonan

9.7 Run Time Stack

• The run-time stack is a stack of activation records reflecting function call and return status.

• When a function call is made, the runtime system– Allocates space for the stack frame (activation

record)– Stores argument values (if any) in the frame– Stores the return address – Stores a pointer to the static memory (the

static link) or enclosing scope.– Stores a pointer to the stack frame of the

calling method (the dynamic link.)

Page 29: Programming Languages 2nd edition Tucker and Noonan

Simple Example

• Consider the call factorial(3). • This places one activation record onto the stack

and generates a second call factorial(2).

• This call generates the call factorial(1), so that the stack gains three activation records.

• Another call, say factorial (6), would require 6 ARs. With static storage allocation (no stack), there is only one AR per function, so recursion isn’t supported.

Page 30: Programming Languages 2nd edition Tucker and Noonan

Recursive Function Call

int factorial (int n) {if (n < 2)

return 1;else return n*factorial(n-1);

}

Page 31: Programming Languages 2nd edition Tucker and Noonan

Stack Activity for factorial(3)Fig. 9.7

n 3 n 3 n 3 n 3 n 3

n 2 n 2 n 2

n 1

First call Second call Third callreturns 1

Second callreturns 2*1=2

First callreturns 3*2=6

Link fields represented by blank entries

Page 32: Programming Languages 2nd edition Tucker and Noonan

Stacks for Non-Recursive Functions

• Consider the program from Figure 9.1: main calls A, A calls B

• The stack grows and shrinks based on the dynamic calling sequence.

• On the next slide, we see the stack when B is executing

• As each function finishes, its AR is popped from the stack.

int h, i;void B(int w) { int j, k; i = 2*w; w = w+1;} void A(int x, int y) { bool i, j; B(h);}int main() { int a, b; h = 5; a = 3; b = 2; A(a, b);}

Page 33: Programming Languages 2nd edition Tucker and Noonan

Run-Time Stack with Stack Frames for Method InvocationsFigure 9.8 (Note: h shouldn’t be undefined; it is initialized when a & b are)

Three versionsof the stack: one after main() is called but before it calls A, one after A is called, one after B is called. Consider lifetime and scope. Any variable not in current activation record must be in static memory to be in scope.

Page 34: Programming Languages 2nd edition Tucker and Noonan

Passing an Argument by Reference Example

Suppose, in our sample program, w had been a reference parameter. Now, when A calls B and passes in h as a parameter, the address of h is copied onto the stack. The statement w = w + 1 will change the actual value of h.

Page 35: Programming Languages 2nd edition Tucker and Noonan

Static v Dynamic Scoping• Static links implement static scoping (nested

scopes): – In statically scoped languages, when B

assigns to i, the reference is to the global i• Dynamic scoping is based on the calling

sequence, shown in the dynamic linkage.– In dynamically scoped languages, when B

assigns to i, the reference would be to the i defined in A (most recent in calling chain)

• In either case the links allow a function to refer to non-local variables.

Page 36: Programming Languages 2nd edition Tucker and Noonan

Clite Concrete Grammar:Functions and Globals (new elements underlined)

Progr { Type Identifier FunctionOrGlobal} MainFunction

Type int | boolean | float | char | void

FunctionOrGlobal ( Parameters ) { Declarations Statements } |Global

Parameters [ Parameter { , Parameter } ]

Global { , Identifier } ;

MainFunction int main ( ) { Declarations Statements }

Page 37: Programming Languages 2nd edition Tucker and Noonan

Concrete Syntax Continued

Statement ; | Block | Assignment | IfStatement |

WhileStatement | CallStatement | ReturnStatement

CallStatement Call ;

ReturnStatement return Expression ;

Factor Identifier | Literal | ( Expression ) | Call

Call Identifier ( Arguments )

Arguments [ Expression { , Expression } ]

Page 38: Programming Languages 2nd edition Tucker and Noonan

More PythonCreate a dictionary:

>>> myD = {}

>>> myD[4568] = 37

>>> myD[34] = 789

>>> myD[100] = 3498

>>> myD[1] = 98

>>> myD[9876] = 348

>>> myD[678] = 3

Page 39: Programming Languages 2nd edition Tucker and Noonan

More PythonView contents of dictionary:

• Notice that the keys are not ordered and are also not in the same sequence that they were entered.– >>> myD– {1: 98, 34: 789, 100: 3498, 678: 3, 9876: 348, 4568: 37}

• View keys only:– >>> myD.keys()– [1, 34, 100, 678, 9876, 4568]

Page 40: Programming Languages 2nd edition Tucker and Noonan

Sort the Dictionary

• Sort the dictionary by key order:• >>> sorted(myD.items())• [(1, 98), (34, 789), (100, 3498), (678, 3), (4568, 37), (9876, 348)]

Page 41: Programming Languages 2nd edition Tucker and Noonan

Sort the Dictionary• Create a list containing the dictionary key-

value pairs, sorted by key: (This is no longer a dictionary)>>> newList = sorted(myD.items())

>>> newList

[(1, 98), (34, 789), (100, 3498), (678, 3), (4568, 37), (9876, 348)]

>>> newList[4]

(4568, 37)

Page 42: Programming Languages 2nd edition Tucker and Noonan

If the dictionary value is a list:

• Index like a two-dimensional array to get one list item.

• >>> box = {}• >>> box[36] = [2, 'cat', 3.5]• >>> box• {36: [2, 'cat', 3.5]}• >>> box[36][1]• 'cat'