Control in Sequential Languages + some discussion of functional programming John Mitchell CS 242 Reading: Chapter 8, Sections 8.1 – 8.3 (only) Chapter 4, Section 4.4 (only) Fall 2008
Control in Sequential Languages+ some discussion of functional programming
John Mitchell
CS 242
Reading: Chapter 8, Sections 8.1 – 8.3 (only)Chapter 4, Section 4.4 (only)
Fall 2008
JavaScript blocks and scopes
{ } groups JavaScript statements• Does not provide a separate scope
Blocks w/scope can be expressed using function • (function(){ … })() - create function of no args and
call• Example var y=0; (function () { // begin block
var x=2; // local variable x
y = y+x; }) (); // end block
RECAP
Homework 1, Problem 6var x = 5; function f(y) {return (x+y)-2};function g(h){var x = 7; return
h(x)}; {var x = 10; g(f)};
var x = 5; function f(y) {return (x+y)-2}; function g(h){var x = 7; return
h(x)}; {var x = 10; g(f)}; (function (){
var x = 5; (function (){ function f(y) {return (x+y)-2}; (function (){ function g(h){var x = 7; return
h(x)}; (function (){ var x = 10; g(f); })() })() })() })()
Topics
Structured Programming• Go to considered harmful
Exceptions• “structured” jumps that may return a value• dynamic scoping of exception handler
Continuations• Function representing the rest of the program• Generalized form of tail recursion
Discussion of functional programming• Relevant to Haskell, section 4.4 of text
Fortran Control Structure
10 IF (X .GT. 0.000001) GO TO 2011 X = -X IF (X .LT. 0.000001) GO TO 5020 IF (X*Y .LT. 0.00001) GO TO 30 X = X-Y-Y30 X = X+Y ...50 CONTINUE X = A Y = B-A GO TO 11 …
Similar structure may occur in assembly code
Historical Debate
Dijkstra, Go To Statement Considered Harmful• Letter to Editor, C ACM, March 1968• Link on CS242 web site
Knuth, Structured Prog. with go to Statements• You can use goto, but do so in structured way …
Continued discussion• Welch, “GOTO (Considered Harmful)n, n is Odd”
General questions• Do syntactic rules force good programming style?• Can they help?
Advance in Computer Science
Standard constructs that structure jumpsif … then … else … endwhile … do … endfor … { … }case …
Modern style• Group code in logical blocks • Avoid explicit jumps except for function return• Cannot jump into middle of block or function
body
Exceptions: Structured Exit
Terminate part of computation • Jump out of construct• Pass data as part of jump• Return to most recent site set up to handle
exception• Unnecessary activation records may be deallocated
– May need to free heap space, other resources
Two main language constructs• Declaration to establish exception handler • Statement or expression to raise or throw exception
Often used for unusual or exceptional condition; other uses too
JavaScript Exceptions
throw e //jump to catch, passing exception object as parameter
try { … //code to try
} catch (e if e == …) { … //catch if first condition true
} catch (e if e == …) { … //catch if second condition true
} catch (e if e == …) { … //catch if third condition true
} catch (e){ … // catch any exception
} finally { … //code to execute after everything else
}
http://developer.mozilla.org/En/Core_JavaScript_1.5_Guide/ Exception_Handling_Statements
JavaScript Example
function invert(matrix) { if … throw “Determinant”;…
};
try { … invert(myMatrix); …}catch (e) { …
// recover from error}
ML Example (book discusses ML)
exception Determinant; (* declare exception name *)
fun invert (M) = (* function to invert matrix *) … if … then raise Determinant (* exit if Det=0 *) else … end;...invert (myMatrix) handle Determinant => … ;
Value for expression if determinant of myMatrix is 0
try catch
C++ Example
Matrix invert(Matrix m) { if … throw Determinant;…
};
try { … invert(myMatrix); …}catch (Determinant) { …
// recover from error}
ML Exceptions (cover briefly so book is useful to you)
Declarationexception name of type
gives name of exception and type of data passed when raised
Raise raise name parameters
expression form to raise and exception and pass data
Handlerexp1 handle pattern => exp2
evaluate first expressionif exception that matches pattern is raised, then evaluate second expression instead
General form allows multiple patterns.
C++ vs ML Exceptions
C++ exceptions• Can throw any type• Stroustrup: “I prefer to define types with no other purpose
than exception handling. This minimizes confusion about their purpose. In particular, I never use a built-in type, such as int, as an exception.” -- The C++ Programming Language, 3rd ed.
ML exceptions• Exceptions are a different kind of entity than types.• Declare exceptions before use
Similar, but ML requires the recommended C++ style.
Which handler is used?
Dynamic scoping of handlers• First call handles exception one way• Second call handles exception another• General dynamic scoping rule
Jump to most recently established handler on run-time stack
Dynamic scoping is not an accident• User knows how to handler error• Author of library function does not
exception Ovflw;
fun reciprocal(x) =
if x<min then raise Ovflw else 1/x;
(reciprocal(x) handle Ovflw=>0) / (reciprocal(y) handle Ovflw=>1);
try trycatch catch
throw
Exception for Error Condition
- datatype ‘a tree = LF of ‘a | ND of (‘a tree)*(‘a tree)
- exception No_Subtree;- fun lsub (LF x) = raise No_Subtree | lsub (ND(x,y)) = x;> val lsub = fn : ‘a tree -> ‘a tree
• This function raises an exception when there is no reasonable value to return
• We’ll look at typing later.
Exception for Efficiency
Function to multiply values of tree leavesfun prod(LF x) = x| prod(ND(x,y)) = prod(x) * prod(y);
Optimize using exceptionfun prod(tree) = let exception Zero fun p(LF x) = if x=0 then (raise Zero) else x | p(ND(x,y)) = p(x) * p(y) in p(tree) handle Zero=>0 end;
Dynamic Scope of Handler
exception X;(let fun f(y) = raise X and g(h) = h(1) handle X => 2in g(f) handle X => 4end) handle X => 6;
scope
handler
Which handler is used?
See JavaScript next slide
Dynamic Scope of Handler
try{ function f(y) { throw “exn”}; function g(h){ try {h(1)} catch(e){return
2} }; try { g(f) } catch(e){4};} catch(e){6};
Which catch catches the throw?
Dynamic Scope of Handler
try{ function f(y) { throw “exn”}; function g(h){ try {h(1)} catch(e){return 2} }; try { g(f) } catch(e){4};} catch(e){6};
catch(e) 6
formal hcatch(e) 2
access link
formal y 1access link
g(f)
f(1)
fun f access link
access link fun g
Dynamic scope: find first handler, going up the dynamic call chain
catch(e) 4access link
JavaScript version
Dynamic Scope of Handler
exception X;(let fun f(y) = raise X and g(h) = h(1) handle X
=> 2in g(f) handle X => 4end) handle X => 6;
handler X 6
formal hhandler X 2
access link
formal y 1access link
g(f)
f(1)
fun f access link
access link fun g
Dynamic scope: find first X handler, going up the dynamic call chain leading to raise X.
handler X 4access link
Book version (ML)
Compare to static scope of variables
exception X;(let fun f(y) = raise X and g(h) = h(1) handle X => 2in g(f) handle X => 4end) handle X => 6;
val x=6;(let fun f(y) = x and g(h) = let val x=2
in h(1) in let val x=4 in g(f) end);
Book version (ML)
Compare to static scope of variables
try{ function f(y) { throw “exn”}; function g(h){ try {h(1)} catch(e){return 2} }; try { g(f) } catch(e){4};} catch(e){6};
var x=6; function f(y) { return x}; function g(h){ var x=2; return h(1) }; (function (y) { var x=4; g(f) })(0);
JavaScript version
declaration
declaration
Static Scope of Declarations
var x=6;function f(y) { return x};function g(h){ var x=2; return h(1) }; (function (y) { var x=4; g(f) })(0);
var x 6
formal hvar x 2
access link
formal y 1access link
g(f)
f(1)
function f access link
access link function g
Static scope: find first x, following access links from the reference to X.
var x 4access link
JavaScript version
Static Scope of Declarations
val x=6;(let fun f(y) = x and g(h) = let val x=2 in h(1) in let val x=4 in g(f) end);
val x 6
formal hval x 2
access link
formal y 1access link
g(f)
f(1)
fun f access link
access link fun g
Static scope: find first x, following access links from the reference to X.
val x 4access link
Book version (ML)
Typing of Exceptions
Typing of raise exn• Recall definition of typing
– Expression e has type t if normal termination of e produces value of type t
• Raising exception is not normal termination– Example: 1 + raise X
Typing of handle exn => value• Converts exception to normal termination• Need type agreement• Examples
– 1 + ((raise X) handle X => e) Type of e must be int
– 1 + (e1 handle X => e2) Type of e1, e2 must be int
Exceptions and Resource Allocation
exception X;(let val x = ref [1,2,3] in let val y = ref
[4,5,6] in … raise X endend); handle X => ...
Resources may be allocated between handler and raise
May be “garbage” after exception
Examples• Memory• Lock on database• Threads• …
General problem: no obvious solution
Continuations
Idea:• The continuation of an expression is “the remaining
work to be done after evaluating the expression”• Continuation of e is a function normally applied to e
General programming technique• Capture the continuation at some point in a program• Use it later: “jump” or “exit” by function call
Useful in • Compiler optimization: make control flow explicit• Operating system scheduling, multiprogramming• Web site design, other applications
Example of Continuation Concept
Expression • 2*x + 3*y + 1/x + 2/y
What is continuation of 1/x?• Remaining computation after division
var before = 2*x + 3*y; function cont(d) {return (before + d +
2/y)}; cont (1/x);
JavaScript version
Example of Continuation Concept
Expression • 2*x + 3*y + 1/x + 2/y
What is continuation of 1/x?• Remaining computation after division
let val before = 2*x + 3*y fun continue(d) = before + d + 2/y in continue (1/x) end
Book version (ML)
Example: Tail Recursive Factorial
Standard recursive functionfact(n) = if n=0 then 1 else n*fact(n-1)
Tail recursivef(n,k) = if n=0 then k else f(n-1, n*k)fact(n) = f(n,1)
How could we derive this?• Transform to continuation-passing form• Optimize continuation functions to single
integer
Continuation view of factorial
fact(n) = if n=0 then 1 else n*fact(n-1)
fact(9)
fact(8)
fact(7)
• This invocation multiplies by 9 and returns
• Continuation of fact(8) is x. 9*x
• Multiplies by 8 and returns• Continuation of fact(7) is y. (x. 9*x) (8*y)
• Multiplies by 7 and returns• Continuation of fact(6) is z. (y. (x. 9*x) (8*y)) (7*z)
return
n 9
...
return
n 8
...
return
n 7
...
Derivation of tail recursive form
Standard functionfact(n) = if n=0 then 1 else n*fact(n-1)
Continuation formfact(n, k) = if n=0 then k(1) else fact(n-1, x.k (n*x) )
fact(n, x.x) computes n!
Example computation
fact(3,x.x) = fact(2, y.((x.x) (3*y)))
= fact(1, x.((y.3*y)(2*x)))
= x.((y.3*y)(2*x)) 1 = 6
continuation
Tail Recursive Form
Optimization of continuationsfact(n,a) = if n=0 then a else fact(n-1, n*a )
Each continuation is effectively x.(a*x) for some a
Example computation
fact(3,1) = fact(2, 3) was fact(2, y.3*y)
= fact(1, 6) was fact(1, x.6*x)
= 6
Other uses for continuations
Explicit control• Normal termination -- call continuation• Abnormal termination -- do something else
Compilation techniques• Call to continuation is functional form of “go to”• Continuation-passing style makes control flow
explicit
MacQueen: “Callcc is the closest thing to a
‘come-from’ statement I’ve ever seen.”
Theme Song: Charlie on the MTA
Let me tell you the story Of a man named Charlie On a tragic and fateful day He put ten cents in his pocket, Kissed his wife and family Went to ride on the MTA
Charlie handed in his dime At the Kendall Square Station And he changed for Jamaica Plain When he got there the conductor told him, "One more nickel." Charlie could not get off that train.
Chorus: Did he ever return, No he never returned And his fate is still unlearn'd He may ride forever 'neath the streets of Boston He's the man who never returned.
Capturing Current Continuation
Language feature (use open SMLofNJ; on Leland)
• callcc : call a function with current continuation • Can be used to abort subcomputation and go on
Examples• callcc (fn k => 1);> val it = 1 : int
– Current continuation is “fn x => print x”– Continuation is not used in expression
• 1 + callcc(fn k => 5 + throw k 2);> val it = 3 : int
– Current continuation is “fn x => print 1+x”– Subexpression throw k 2 applies continuation to 2
skip callcc, at least for now
More with callcc
Example1 + callcc(fn k1=> … callcc(fn k2 => … if … then (throw k1 0) else (throw k2 “stuck”) ))
Intuition• Callcc lets you mark a point in program that you can
return to• Throw lets you jump to that point and continue from
there
Example
Pass two continuations and choose onefun f(x,k1,k2) = 3 + (if x>0 then throw k1(x) else throw k2(x));fun g(y,k1) = 2 + callcc(fn k2 => f(y,k1,k2));fun h(z) = 1 + callcc(fn k1 => g(z+1,k1));
h(1);h(~2);
Answers: h(1) 3 h(~2) 2
Continuations in Mach OS
OS kernel schedules multiple threads • Each thread may have a separate stack• Stack of blocked thread is stored within the kernel
Mach “continuation” approach• Blocked thread represented as
– Pointer to a continuation function, list of arguments– Stack is discarded when thread blocks
• Programming implications– Sys call such as msg_recv can block– Kernel code calls msg_recv with continuation passed as
arg
• Advantage/Disadvantage– Saves a lot of space, need to write “continuation”
functions
“Continuations” in Web programming
XMLHttpRequest similar to callcc:function callcc(url) { var xhr = new XMLHttpRequest(); xhr.open('GET', url, false); xhr.send(null); return xhr.responseText;}
Usage: alert(callcc('http://a.com/describe?id=10'));
Server invokes continuation by sending a response Unfortunately, this pauses client while server runs
“Continuations” in Web programming
Asynchronous XHR also similar to continuations:function callWithContinuation(url, k) { var xhr = new XMLHttpRequest(); xhr.open('GET', url, true); xhr.onreadystatechange = function () { if (xhr.readyState == 4) k(xhr.responseText); } xhr.send(null);}
Usage: callWithContinuation('http://a.com/describe?id=10', alert);
Client continues while server runs Basis of AJAX Web programming paradigm
Continuations in compilation
SML continuation-based compiler [Appel, Steele]1) Lexical analysis, parsing, type checking2) Translation to -calculus form3) Conversion to continuation-passing style (CPS)4) Optimization of CPS5) Closure conversion – eliminate free variables6) Elimination of nested scopes7) Register spilling – no expression with >n free vars8) Generation of target assembly language program9) Assembly to produce target-machine program
Coroutines (this is complicated…)
datatype tree = leaf of int | node of tree*tree;
datatype coA = A of (int* coB) cont (* searchA wants int and B-cont*)and coB = B of coA cont; (* searchB wants an A-continuation
*)
fun resumeA(x, A k) = callcc(fn k' => throw k (x, B k'));fun resumeB( B k) = callcc(fn k' => throw k (A k'));exception DISAGREE; exception DONE;
fun searchA(leaf(x),(y, other: coB)) = if x=y then resumeB(other) else raise DISAGREE| searchA(node(t1,t2), other) = searchA(t2, searchA(t1, other));
fun searchB(leaf(x), other : coA) = resumeA(x,other) | searchB(node(t1,t2), other) = searchB(t2, searchB(t1, other));
fun startB(t: tree) = callcc(fn k => (searchB(t, A k); raise DONE)); fun compare(t1,t2) = searchA(t1, startB(t2));
skip callcc, at least for now
Summary
Structured Programming• Go to considered harmful
Exceptions• “structured” jumps that may return a value• dynamic scoping of exception handler
Continuations• Function representing the rest of the program• Generalized form of tail recursion• Used in Lisp and ML compilation, some OS
projects, web application development, …
What is a functional language ?
“No side effects” OK, we have side effects, but we also have
higher-order functions…
We will use pure functional language to mean “a language with functions, but without side
effects or other imperative features.”
No-side-effects language test
Within the scope of specific declarations of x1,x2, …, xn, all occurrences of an expression e containing only variables x1,x2, …, xn, must have the same value.
Examplebegin
integer x=3; integer y=4; 5*(x+y)-3 … // no new declaration of x or y // 4*(x+y)+1end
?
Example languages
Pure Lispatom, eq, car, cdr, cons, lambda, define
Impure Lisp: rplaca, rplacd
lambda (x) (cons (car x) (… (rplaca (… x …) ...) ... (car x) … )))Cannot just evaluate (car x) once
Common procedural languages are not functional• Pascal, C, Ada, C++, Java, Modula, … Example functional programs in a couple of slides
Backus’ Turing Award
John Backus was designer of Fortran, BNF, etc.
Turing Award in 1977 Turing Award Lecture
• Functional prog better than imperative programming
• Easier to reason about functional programs• More efficient due to parallelism• Algebraic laws
Reason about programsOptimizing compilers
Reasoning about programs
To prove a program correct, • must consider everything a program depends on
In functional programs,• dependence on any data structure is explicit
Therefore, • easier to reason about functional programs
Do you believe this?• This thesis must be tested in practice• Many who prove properties of programs believe this• Not many people really prove their code correct
Haskell Quicksort
Very succinct programqsort [] = [] qsort (x:xs) = qsort elts_lt_x ++ [x] ++ qsort elts_greq_x
where elts_lt_x = [y | y <- xs, y < x] elts_greq_x = [y | y <- xs, y >= x]
This is the whole thing• No assignment – just write expression for
sorted list• No array indices, no pointers, no memory
management, …
Compare: C quicksort
qsort( a, lo, hi ) int a[], hi, lo; { int h, l, p, t; if (lo < hi) { l = lo; h = hi; p = a[hi]; do { while ((l < h) && (a[l] <= p)) l = l+1; while ((h > l) && (a[h] >= p)) h = h-1; if (l < h) { t = a[l]; a[l] = a[h]; a[h] = t; } } while (l < h); t = a[l]; a[l] = a[hi]; a[hi] = t; qsort( a, lo, l-1 ); qsort( a, l+1, hi ); } }
Interesting case study
Naval Center programming experiment• Separate teams worked on separate languages• Surprising differences
Some programs were incomplete or did not run• Many evaluators didn’t understand, when shown the
code, that the Haskell program was complete. They thought it was a high level partial specification.
Hudak and Jones, Haskell vs Ada vs C++ vs Awk vs …,Yale University Tech Report, 1994
Disadvantages of Functional Prog
Functional programs often less efficient. Why?
Change 3rd element of list x to y(cons (car x) (cons (cadr x) (cons y (cdddr x))))
– Build new cells for first three elements of list(rplaca (cddr x) y)
– Change contents of third cell of list directly
However, many optimizations are possible
A B C D
Von Neumann bottleneck
Von Neumann• Mathematician responsible for idea of stored
program
Von Neumann Bottleneck• Backus’ term for limitation in CPU-memory transfer
Related to sequentiality of imperative languages• Code must be executed in specific order
function f(x) { if (x<y) then y = x; else x = y; }g( f(i), f(j) );
Eliminating VN Bottleneck
No side effects• Evaluate subexpressions independently• Example
– function f(x) { return x<y ? 1 : 2; }– g(f(i), f(j), f(k), … );
Does this work in practice? Good idea but ...• Too much parallelism• Little help in allocation of processors to processes• ... • David Shaw promised to build the non-Von ...
Effective, easy concurrency is a hard problem