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Control flow

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Control flow

In computer science, control flow (or alternatively, flow of control) refers to the order in which the individual statements, instructions or function calls of an imperative or a declarative program are executed or evaluated.

Within an imperative programming language, a control flow statement is a statement whose execution results in a choice being made as to which of two or more paths should be followed. For non-strict functional languages, functions and language constructs exist to achieve the same result, but they are not necessarily called control flow statements.

The kinds of control flow statements supported by different languages vary, but can be categorized by their effect:

  • continuation at a different statement (unconditional branch or jump),
  • executing a set of statements only if some condition is met (choice - i.e., conditional branch),
  • executing a set of statements zero or more times, until some condition is met (i.e., loop - the same as conditional branch),
  • executing a set of distant statements, after which the flow of control usually returns (subroutines, coroutines, and continuations),
  • stopping the program, preventing any further execution (unconditional halt).

A set of statements is in turn generally structured as a block, which in addition to grouping also defines a lexical scope.

Interrupts and signals are low-level mechanisms that can alter the flow of control in a way similar to a subroutine, but usually occur as a response to some external stimulus or event (that can occur asynchronously), rather than execution of an 'in-line' control flow statement.

At the level of machine or assembly language, control flow instructions usually work by altering the program counter. For some CPUs the only control flow instructions available are conditional or unconditional branch instructions (also called jumps).


  • Primitives 1
    • Labels 1.1
    • Goto 1.2
    • Subroutines 1.3
  • Minimal structured control flow 2
  • Control structures in practice 3
  • Choice 4
    • If-then-(else) statements 4.1
    • Case and switch statements 4.2
  • Loops 5
    • Count-controlled loops 5.1
    • Condition-controlled loops 5.2
    • Collection-controlled loops 5.3
    • General iteration 5.4
    • Infinite loops 5.5
    • Continuation with next iteration 5.6
    • Redo current iteration 5.7
    • Restart loop 5.8
    • Early exit from loops 5.9
    • Loop variants and invariants 5.10
  • Loop sublanguage 6
  • Loop system cross-reference table 7
  • Structured non-local control flow 8
    • Conditions 8.1
    • Exceptions 8.2
    • Continuations 8.3
    • Async 8.4
    • Generators 8.5
    • Coroutines 8.6
    • Non-local control flow cross reference 8.7
  • Proposed control structures 9
    • Loop with test in the middle 9.1
    • Multiple early exit/exit from nested loops 9.2
  • See also 10
  • References 11
  • External links 12



A label is an explicit name or number assigned to a fixed position within the source code, and which may be referenced by control flow statements appearing elsewhere in the source code. Other than marking a position within the source code a label has no effect.

Line numbers are an alternative to a named label (and used in some languages such as Fortran and BASIC), that are whole numbers placed at the beginning of each line of text within the source code. Languages which use these often impose the constraint that the line numbers must increase in value in each subsequent line, but may not require that they be consecutive. For example, in BASIC:

10 LET X = 3

In other languages such as C and Ada a label is an identifier, usually appearing at the beginning of a line and immediately followed by a colon. For example, in C:

Success: printf("The operation was successful.\n");

The Algol 60 language allowed both whole numbers and identifiers as labels (both attached by colons to the following statement), but few if any other variants of Algol allowed whole numbers.


The goto statement (a combination of the English words go and to, and pronounced accordingly) is the most basic form of unconditional transfer of control.

Although the keyword may either be in upper or lower case depending on the language, it is usually written as:

   goto label

The effect of a goto statement is to cause the next statement to be executed to be the statement appearing at (or immediately after) the indicated label.

Goto statements have been considered harmful by many computer scientists, notably Dijkstra.


The terminology for subroutines varies; they may alternatively be known as routines, procedures, functions (especially if they return results) or methods (especially if they belong to classes or type classes).

In the 1950s, computer memories were very small by current standards so subroutines were used primarily to reduce program size; a piece of code was written once and then used many times from various other places in the program.

Nowadays, subroutines are more frequently used to help make a program that is more structured, e.g. by isolating some particular algorithm or hiding some particular data access method. If many programmers are working on a single program, subroutines are one kind of modularity that can help split up the work.

Minimal structured control flow

In May 1966, Böhm and Jacopini published an article[1] in Communications of the ACM which showed that any program with gotos could be transformed into a goto-free form involving only choice (IF THEN ELSE) and loops (WHILE condition DO xxx), possibly with duplicated code and/or the addition of Boolean variables (true/false flags). Later authors have shown that choice can be replaced by loops (and yet more Boolean variables).

The fact that such minimalism is possible does not necessarily mean that it is desirable; after all, computers theoretically only need one machine instruction (subtract one number from another and branch if the result is negative), but practical computers have dozens or even hundreds of machine instructions.

What Böhm and Jacopini's article showed was that all programs could be goto-free. Other research showed that control structures with one entry and one exit were much easier to understand than any other form, primarily because they could be used anywhere as a statement without disrupting the control flow. In other words, they were composable. (Later developments, such as non-strict programming languages - and more recently, composable software transactions - have continued this line of thought, making components of programs even more freely composable.)

Some academics took a purist approach to the Böhm-Jacopini result and argued that even instructions like break and return from the middle of loops are bad practice as they are not needed in the Böhm-Jacopini proof, and thus they advocated that all loops should have a single exit point. This purist approach is embodied in the Pascal programming language (designed in 1968–1969), which up to the mid-1990s was the preferred tool for teaching introductory programming in academia.[2] The direct application of the Böhm-Jacopini theorem may result in additional local variables being introduced in the structured chart, and may also result in some code duplication.[3] The latter issue is called the loop and a half problem in this context.[4] Pascal is affected by both of these problems and according to empirical studies cited by Eric S. Roberts, student programmers had difficulty formulating correct solutions in Pascal for several simple problems, including writing a function for searching an element in an array. A 1980 study by Henry Shapiro cited by Roberts found that using only the Pascal-provided control structures, the correct solution was given by only 20% of the subjects, while no subject wrote incorrect code for this problem if allowed to write a return from the middle of a loop.[2]

Control structures in practice

Most programming languages with control structures have an initial keyword which indicates the type of control structure involved. Languages then divide as to whether or not control structures have a final keyword.

  • No final keyword: Algol 60, C, C++, Haskell, Java, Pascal, Perl, PHP, PL/I, Python, PowerShell. Such languages need some way of grouping statements together:
    • Algol 60 and Pascal : begin ... end
    • C, C++, Java, Perl, PHP, and PowerShell: curly brackets { ... }
    • PL/1: DO ... END
    • Python: uses indentation level (see Off-side rule)
    • Haskell: either indentation level or curly brackets can be used, and they can be freely mixed
  • Final keyword: Ada, Algol 68, Modula-2, Fortran 77, Mythryl, Visual Basic. The forms of the final keyword vary:
    • Ada: final keyword is end + space + initial keyword e.g. if ... end if, loop ... end loop
    • Algol 68, Mythryl: initial keyword spelled backwards e.g. if ... fi, case ... esac
    • Fortran 77: final keyword is end + initial keyword e.g. IF ... ENDIF, DO ... ENDDO
    • Modula-2: same final keyword END for everything
    • Visual Basic: every control structure has its own keyword. If ... End If; For ... Next; Do ... Loop; While ... Wend


If-then-(else) statements

Conditional expressions and conditional constructs are features of a programming language which perform different computations or actions depending on whether a programmer-specified boolean condition evaluates to true or false.

  • IF..GOTO. A form found in unstructured languages, mimicking a typical machine code instruction, would jump to (GOTO) a label or line number when the condition was met.
  • IF..THEN..(ENDIF). Rather than being restricted to a jump, any simple statement, or nested block, could follow the THEN key keyword. This a structured form.
  • IF..THEN..ELSE..(ENDIF). As above, but with a second action to be performed if the condition is false. This is one of the most common forms, with many variations. Some require a terminal ENDIF, others do not. C and related languages do not require a terminal keyword, or a 'then', but do require parentheses around the condition.
  • Conditional statements can be and often are nested inside other conditional statements. Some languages allow ELSE and IF to be combined into ELSEIF, avoiding the need to have a series of ENDIF or other final statements at the end of a compound statement.
Pascal: Ada: C: Shell script: Python: Lisp:
if a > 0 then
end else
if a > 0 then
end if;
if (a > 0) { 
} else {
if [ $a -gt 0 ]; then
      echo "yes"
      echo "no"
if a > 0: 
      print "yes"
      print "no"
  (if (plusp a)

Less common variations include:-

  • Some languages, such as Fortran, have a "three-way" or "arithmetic if", testing whether a numeric value is positive, negative or zero.
  • Some languages have a functional form of an "if" statement, for instance LISP's cond.
  • Some languages have an operator form of an "if" statement, such as C's ternary operator.
  • Perl supplements a C-style if with when and unless.
  • Smalltalk uses ifTrue and ifFalse messages to implement conditionals, rather than any fundamental language construct.

Case and switch statements

Switch statements (or case statements, or multiway branches) compare a given value with specified constants and take action according to the first constant to match. There is usually a provision for a default action ("else", "otherwise") to be taken if no match succeeds. Switch statements can allow compiler optimizations, such as lookup tables. In dynamic languages, the cases may not be limited to constant expressions, and might extend to pattern matching, as in the shell script example on the right, where the *) implements the default case as a glob matching any string. Case logic can also be implemented in functional form, as in SQL's decode statement.

Pascal: Ada: C: Shell script: Lisp:
case someChar of
  'a': actionOnA;
  'x': actionOnX;
  else actionOnNoMatch;
case someChar is
  when 'a' => actionOnA;
  when 'x' => actionOnX;
  when 'y' | 'z' => actionOnYandZ;
  when others => actionOnNoMatch;
switch (someChar) {
  case 'a': actionOnA; break;
  case 'x': actionOnX; break;
  case 'y':
  case 'z': actionOnYandZ; break;
  default: actionOnNoMatch;
case $someChar in 
   a)    actionOnA ;;
   x)    actionOnX ;;
   [yz]) actionOnYandZ ;;
   *)    actionOnNoMatch  ;;
(case someChar
  ((#\a)     actionOnA)
  ((#\x)     actionOnX)
  ((#\y #\z) actionOnYandZ)
  (else      actionOnNoMatch))


A loop is a sequence of statements which is specified once but which may be carried out several times in succession. The code "inside" the loop (the body of the loop, shown below as xxx) is obeyed a specified number of times, or once for each of a collection of items, or until some condition is met, or indefinitely.

In functional programming languages, such as Haskell and Scheme, loops can be expressed by using recursion or fixed point iteration rather than explicit looping constructs. Tail recursion is a special case of recursion which can be easily transformed to iteration.

Count-controlled loops

Most programming languages have constructions for repeating a loop a certain number of times. Note that if N is less than 1 in these examples then the language may specify that the body is skipped completely, or that the body is executed just once with N = 1. In most cases counting can go downwards instead of upwards and step sizes other than 1 can be used.

   FOR I = 1 TO N           | for I := 1 to N do begin
       xxx                  |     xxx
   NEXT I                   | end;
   DO I = 1,N               | for ( I=1; I<=N; ++I ) {
       xxx                  |     xxx
   END DO                   | }

In many programming languages, only integers can be reliably used in a count-controlled loop. Floating-point numbers are represented imprecisely due to hardware constraints, so a loop such as

   for X := 0.1 step 0.1 to 1.0 do

might be repeated 9 or 10 times, depending on rounding errors and/or the hardware and/or the compiler version. Furthermore, if the increment of X occurs by repeated addition, accumulated rounding errors may mean that the value of X in each iteration can differ quite significantly from the expected sequence 0.1, 0.2, 0.3, ..., 1.0.

Condition-controlled loops

Most programming languages have constructions for repeating a loop until some condition changes. Note that some variations place the test at the start of the loop, while others have the test at the end of the loop. In the former case the body may be skipped completely, while in the latter case the body is always executed at least once.

   DO WHILE (test)          | repeat 
       xxx                  |     xxx 
   LOOP                     | until test;
   while (test) {           | do
       xxx                  |     xxx
   }                        | while (test);

A control break is a value change detection method used within ordinary loops to trigger processing for groups of values. A key changeable value or values are monitored within the loop and a change diverts program flow to the handling of the group event associated with the changeable value.

   DO UNTIL (End-of-File)
      IF new-zipcode <> current-zipcode
         display_tally(current-zipcode, zipcount)
         current-zipcode = new-zipcode
         zipcount = 0

Collection-controlled loops

Several programming languages (e.g. Ada, D, Smalltalk, PHP, Perl, Object Pascal, Java, C#, Matlab, Mythryl, Visual Basic, Ruby, Python, JavaScript, Fortran 95 and later) have special constructs which allow implicitly looping through all elements of an array, or all members of a set or collection.

   someCollection do: [:eachElement |xxx].
   for Item in Collection do begin xxx end;

   foreach (item; myCollection) { xxx }

   foreach someArray { xxx }

   foreach ($someArray as $k => $v) { xxx }

   Collection coll; for (String s : coll) {}

   foreach (string s in myStringCollection) { xxx }

   $someCollection | ForEach-Object { $_ }
   forall ( index = first:last:step... )

Scala has for-expressions, which generalise collection-controlled loops, and also support other uses, such as asynchronous programming. Haskell has do-expressions and comprehensions, which together provide similar functionality to for-expressions in Scala.

General iteration

General iteration constructs such as C's for statement and Common Lisp's do form can be used to express any of the above sorts of loops, as well as others—such as looping over a number of collections in parallel. Where a more specific looping construct can be used, it is usually preferred over the general iteration construct, since it often makes the purpose of the expression more clear.

Infinite loops

Infinite loops are used to assure a program segment loops forever or until an exceptional condition arises, such as an error. For instance, an event-driven program (such as a server) should loop forever, handling events as they occur, only stopping when the process is terminated by an operator.

Often, an infinite loop is unintentionally created by a programming error in a condition-controlled loop, wherein the loop condition uses variables that never change within the loop.

Continuation with next iteration

Sometimes within the body of a loop there is a desire to skip the remainder of the loop body and continue with the next iteration of the loop. Some languages provide a statement such as continue (most languages), skip, or next (Perl and Ruby), which will do this. The effect is to prematurely terminate the innermost loop body and then resume as normal with the next iteration. If the iteration is the last one in the loop, the effect is to terminate the entire loop early.

Redo current iteration

Some languages, like Perl and Ruby, have a redo statement that restarts the current iteration from the beginning.

Restart loop

Ruby has a retry statement that restarts the entire loop from the initial iteration.

Early exit from loops

When using a count-controlled loop to search through a table, it might be desirable to stop searching as soon as the required item is found. Some programming languages provide a statement such as break (most languages), exit, or last (Perl), whose effect is to terminate the current loop immediately and transfer control to the statement immediately following that loop.

The following example is done in Ada which supports both early exit from loops and loops with test in the middle. Both features are very similar and comparing both code snippets will show the difference: early exit needs to be combined with an if statement while a condition in the middle is a self-contained construct.

with Ada.Text IO;
with Ada.Integer Text IO;

procedure Print_Squares is 
    X : Integer;
    Read_Data : loop
        Ada.Integer Text IO.Get(X);
    exit Read_Data when X = 0;
        Ada.Text IO.Put (X * X);
        Ada.Text IO.New_Line;
    end loop Read_Data;
end Print_Squares;

Python supports conditional execution of code depending on whether a loop was exited early (with a break statement) or not by using an else-clause with the loop. For example,

for n in set_of_numbers:
    if isprime(n):
        print "Set contains a prime number"
    print "Set did not contain any prime numbers"

Note that the else clause in the above example is attached to the for statement, and not the inner if statement. Both Python's for and while loops support such an else clause, which is executed only if early exit of the loop has not occurred.

Some languages support breaking out of nested loops; in theory circles, these are called multi-level breaks. One common usage example is searching a multi-dimensional table. This can be done either via multilevel breaks (break out of N levels), as in bash[5] and PHP,[6] or via labeled breaks (break out and continue at given label), as in Java and Perl.[7] Alternatives to multilevel breaks include single breaks, together with a state variable which is tested to break out another level; exceptions, which are caught at the level being broken out to; placing the nested loops in a function and using return to effect termination of the entire nested loop; or using a label and a goto statement. C does not include a multilevel break, and the usual alternative is to use a goto to implement a labeled break.[8] Python does not have a multilevel break or continue – this was proposed in PEP 3136, and rejected on the basis that the added complexity was not worth the rare legitimate use.[9]

The notion of multi-level breaks is of some interest in theoretical computer science, because it gives rise to what is nowadays called the Kosaraju hierarchy.[10] In 1973 S. Rao Kosaraju refined the structured program theorem by proving that it's possible to avoid adding additional variables in structured programming, as long as arbitrary-depth, multi-level breaks from loops are allowed.[11] Furthermore, Kosaraju proved than a strict hierarchy of programs exists: for every integer n, there exists a program containing a multi-level break of depth n that cannot be rewritten as program with multi-level breaks of depth less than n without introducing additional variables.[10]

One can also return out of a subroutine executing the looped statements, breaking out of both the nested loop and the subroutine. There are other proposed control structures for multiple breaks, but these are generally implemented as exceptions instead.

In his 2004 textbook, David Watt uses Tennent's notion of sequencer to explain the similarity between multi-level breaks and return statements. Watt notes that a class of sequencers known as escape sequencers, defined as "sequencer that terminates execution of a textually enclosing command or procedure", encompasses both breaks from loops (including multi-level breaks) and return statements. As commonly implemented however, return sequencers may also carry a (return) value, whereas the break sequencer as implemented in contemporary languages usually cannot.[12]

Loop variants and invariants

Loop variants and loop invariants are used to express correctness of loops.[13]

In practical terms, a loop variant is an integer expression which has an initial non-negative value. The variant's value must decrease during each loop iteration but must never become negative during the correct execution of the loop. Loop variants are used to guarantee that loops will terminate.

A loop invariant is an assertion which must be true before the first loop iteration and remain true after each iteration. This implies that when a loop terminates correctly, both the exit condition and the loop invariant are satisfied. Loop invariants are used to monitor specific properties of a loop during successive iterations.

Some programming languages, such as Eiffel contain native support for loop variants and invariants. In other cases, support is an add-on, such as the Java Modeling Language's specification for loop statements in Java.

Loop sublanguage

Some Lisp dialects are providing an extensive sublanguage for describing Loops. An early example can be found in Conversional Lisp of Interlisp. Common Lisp[14] provides a Loop macro which implements such a sublanguage.

Loop system cross-reference table

Programming language conditional loop early exit continuation redo retry correctness facilities
begin middle end count collection general infinite [1] variant invariant
Ada Yes Yes Yes Yes arrays No Yes deep nested No
C Yes No Yes No [2] No Yes No deep nested [3] deep nested [3] No
C++ Yes No Yes No [2] Yes [9] Yes No deep nested [3] deep nested [3] No
C# Yes No Yes No [2] Yes Yes No deep nested [3] deep nested [3]
COBOL Yes No Yes Yes No Yes No deep nested [14] deep nested [14] No
Common Lisp Yes Yes Yes Yes Yes Yes Yes deep nested No
D Yes No Yes Yes Yes Yes Yes[14] deep nested deep nested No
Eiffel Yes No No Yes [10] Yes Yes No one level [10] No No No [11] integer only [13] Yes
F# Yes No No Yes Yes No No No [6] No No
FORTRAN 77 Yes No No Yes No No No one level Yes
Fortran 90 Yes No No Yes No No Yes deep nested Yes
Fortran 95 and later Yes No No Yes arrays No Yes deep nested Yes
Haskell No No No No Yes No Yes No [6] No No
Java Yes No Yes No [2] Yes Yes No deep nested deep nested No non-native [12] non-native [12]
JavaScript Yes No Yes No [2] Yes Yes No deep nested deep nested No
OCaml Yes No No Yes arrays,lists No No No [6] No No
PHP Yes No Yes No [2] [5] Yes [4] Yes No deep nested deep nested No
Perl Yes No Yes No [2] [5] Yes Yes No deep nested deep nested Yes
Python Yes No No No [5] Yes No No deep nested [6] deep nested [6] No
REBOL No [7] Yes Yes Yes Yes No [8] Yes one level [6] No No
Ruby Yes No Yes Yes Yes No Yes deep nested [6] deep nested [6] Yes Yes
Standard ML Yes No No No arrays,lists No No No [6] No No
Visual Basic .NET Yes No Yes Yes Yes No Yes one level per type of loop one level per type of loop
Windows PowerShell Yes No Yes No [2] Yes Yes No ? Yes
  1. a while (true) does not count as an infinite loop for this purpose, because it is not a dedicated language structure.
  2. a b c d e f g h C's for (init; test; increment) loop is a general loop construct, not specifically a counting one, although it is often used for that.
  3. a b c Deep breaks may be accomplished in C, C++ and C# through the use of labels and gotos.
  4. a Iteration over objects was added in PHP 5.
  5. a b c A counting loop can be simulated by iterating over an incrementing list or generator, for instance, Python's range().
  6. a b c d e Deep breaks may be accomplished through the use of exception handling.
  7. a There is no special construct, since the while function can be used for this.
  8. a There is no special construct, but users can define general loop functions.
  9. a The C++11 standard introduced the range-based for. In the STL, there is a std::for_each template function which can iterate on STL containers and call a unary function for each element.[15] The functionality also can be constructed as macro on these containers.[16]
  10. a Count-controlled looping is effected by iteration across an integer interval; early exit by including an additional condition for exit.
  11. a Eiffel supports a reserved word retry, however it is used in exception handling, not loop control.
  12. a Requires Java Modeling Language (JML) behavioral interface specification language.
  13. a Requires loop variants to be integers; transfinite variants are not supported. [1]
  14. a D supports infinite collections, and the ability to iterate over those collections. This does not require any special construct.
  15. a Deep breaks can be achieved using GO TO and procedures.

Structured non-local control flow

Many programming languages, particularly those which favor more dynamic styles of programming, offer constructs for non-local control flow. These cause the flow of execution to jump out of a given context and resume at some predeclared point. Conditions, exceptions and continuations are three common sorts of non-local control constructs; more exotic ones also exist, such as generators, coroutines and the async keyword.


PL/I has some 22 standard conditions (e.g. ZERODIVIDE SUBSCRIPTRANGE ENDFILE) which can be raised and which can be intercepted by: ON condition action; Programmers can also define and use their own named conditions.

Like the unstructured if, only one statement can be specified so in many cases a GOTO is needed to decide where flow of control should resume.

Unfortunately, some implementations had a substantial overhead in both space and time (especially SUBSCRIPTRANGE), so many programmers tried to avoid using conditions.

Common Syntax examples:

 ON condition GOTO label


Modern languages have a specialized structured construct for exception handling which does not rely on the use of GOTO or (multi-level) breaks or returns. For example, in C++ one can write:

try {
    xxx1                                  // Somewhere in here
    xxx2                                  //     use: '''throw''' someValue;
} catch (someClass& someId) {             // catch value of someClass
} catch (someType& anotherId) {           // catch value of someType
} catch (...) {                           // catch anything not already caught

Any number and variety of catch clauses can be used above. If there is no catch matching a particular throw, control percolates back through subroutine calls and/or nested blocks until a matching catch is found or until the end of the main program is reached, at which point the program is forcibly stopped with a suitable error message.

Owing to C++'s influence, catch is the keyword reserved for declaring a pattern-matching exception handler in other languages popular today, like Java or C#. Some other languages like Ada use the keyword exception to introduce an exception handler and then may even employ a different keyword (when in Ada) for the pattern matching. A few languages like AppleScript incorporate placeholders in the exception handler syntax for automatically extracting several pieces of information when the exception occurs. This approach is exemplified below by the on error construct from AppleScript:

    set myNumber to myNumber / 0
on error e  number n  from f  to t  partial result pr
    if ( e = "Can't divide by zero" ) then display dialog "You must not do that"
end try

David Watt's 2004 textbook also analyzes exception handling in the framework of sequencers (introduced in this article in the section on early exits from loops.) Watt notes that an abnormal situation, generally exemplified with arithmetic overflows or input/output failures like file not found, is a kind of error that "is detected in some low-level program unit, but [for which] a handler is more naturally located in a high-level program unit". For example, a program might contain several calls to read files, but the action to perform when a file is not found depends on the meaning (purpose) of the file in question to the program and thus a handling routine for this abnormal situation cannot be located in low-level system code. Watts further notes that introducing status flags testing in the caller, as single-exit structured programming or even (multi-exit) return sequencers would entail, results in a situation where "the application code tends to get cluttered by tests of status flags" and that "the programmer might forgetfully or lazily omit to test a status flag. In fact, abnormal situations represented by status flags are by default ignored!" Watt notes that in contrast to status flags testing, exceptions have the opposite default behavior, causing the program to terminate unless the programmer explicitly deals with the exception in some way, possibly by adding code to willfully ignore it. Based on these arguments, Watt concludes that jump sequencers or escape sequencers aren't as suitable as a dedicated exception sequencer with the semantics discussed above.[17]

In Object Pascal, D, Java, C#, and Python a finally clause can be added to the try construct. No matter how control leaves the try the code inside the finally clause is guaranteed to execute. This is useful when writing code that must relinquish an expensive resource (such as an opened file or a database connection) when finished processing:

FileStream stm = null;                    // C# example
try {
    stm = new FileStream ("logfile.txt", FileMode.Create);
    return ProcessStuff(stm);             // may throw an exception
} finally {
    if (stm != null)

Since this pattern is fairly common, C# has a special syntax:

using (FileStream stm = new FileStream ("logfile.txt", FileMode.Create)) {
    return ProcessStuff(stm);             // may throw an exception

Upon leaving the using-block, the compiler guarantees that the stm object is released, effectively binding the variable to the file stream while abstracting from the side effects of initializing and releasing the file. Python's with statement and Ruby's block argument to are used to similar effect.

All the languages mentioned above define standard exceptions and the circumstances under which they are thrown. Users can throw exceptions of their own; in fact C++ allows users to throw and catch almost any type, including basic types like int, whereas other languages like Java aren't as permissive.



C# 5.0 introduced the async keyword for supporting asynchronous I/O in a "direct style".


Generators, also known as semicoroutines, allow control to be yielded to a consumer method temporarily, typically using a
keyword. Like the async keyword, this supports programming in a "direct style".


Coroutines are functions that can yield control to each other - a form of co-operative multitasking without threads.

Coroutines can be implemented as a library if the programming language provides either continuations or generators - so the distinction between coroutines and generators in practice is a technical detail.

Non-local control flow cross reference

Programming language conditions exceptions generators/coroutines async
Ada No Yes ? ?
C No No No No
C++ No Yes yes, by using BOOST ?
C# No Yes Yes Yes
COBOL Yes Yes No No
Common Lisp Yes No ? ?
D No Yes Yes ?
Eiffel No Yes ? ?
Erlang No Yes Yes ?
F# No Yes Yes Yes
Go No Yes Yes ?
Haskell No Yes Yes No
Java No Yes No No
Objective-C No Yes No ?
PHP No Yes Yes ?
PL/I Yes No No No
Python No Yes Yes ?
REBOL Yes Yes No ?
Ruby No Yes Yes ?
Scala No Yes No via experimental extension
Tcl via traces Yes Yes via event loop
Visual Basic .NET Yes Yes No ?
Windows PowerShell No Yes No ?

Proposed control structures

In a spoof Datamation article[18] in 1973, R. Lawrence Clark suggested that the GOTO statement could be replaced by the COMEFROM statement, and provides some entertaining examples. This was actually implemented in INTERCAL, a deliberately esoteric programming language.

In his 1974 article "Structured Programming with go to Statements",[19] Donald Knuth identified two situations which were not covered by the control structures listed above, and gave examples of control structures which could handle these situations. Despite their utility, these constructions have not yet found their way into mainstream programming languages.

Loop with test in the middle

The following was proposed by Dahl in 1972:[20]

   loop                           loop
       xxx1                           read(char);
   while test;                    while not atEndOfFile;
       xxx2                           write(char);
   repeat;                        repeat;

If xxx1 is omitted we get a loop with the test at the top. If xxx2 is omitted we get a loop with the test at the bottom. If while is omitted we get an infinite loop. Hence this single construction can replace several constructions in most programming languages. A possible variant is to allow more than one while test; within the loop, but the use of exitwhen (see next section) appears to cover this case better.

Languages lacking this construct generally emulate it using an equivalent infinite-loop-with-break idiom:

while (true) {
    if (not test)

In Ada, the above loop construct (loop-while-repeat) can be represented using a standard infinite loop (loop - end loop) that has an exit when clause in the middle (not to be confused with the exitwhen statement in the following section).

with Ada.Text_IO;
with Ada.Integer_Text_IO;

procedure Print_Squares is 
    X : Integer;
    Read_Data : loop
    exit Read_Data when X = 0;
        Ada.Text IO.Put (X * X);
        Ada.Text IO.New_Line;
    end loop Read_Data;
end Print_Squares;

Naming a loop (like Read_Data in this example) is optional but permits leaving the outer loop of several nested loops.

Multiple early exit/exit from nested loops

This was proposed by Zahn in 1974.[21] A modified version is presented here.

   exitwhen EventA or EventB or EventC;
       EventA: actionA
       EventB: actionB
       EventC: actionC

exitwhen is used to specify the events which may occur within xxx, their occurrence is indicated by using the name of the event as a statement. When some event does occur, the relevant action is carried out, and then control passes just after endexit. This construction provides a very clear separation between determining that some situation applies, and the action to be taken for that situation.

exitwhen is conceptually similar to exception handling, and exceptions or similar constructs are used for this purpose in many languages.

The following simple example involves searching a two-dimensional table for a particular item.

   exitwhen found or missing;
       for I := 1 to N do
           for J := 1 to M do
               if table[I,J] = target then found;
       found:   print ("item is in table");
       missing: print ("item is not in table");

See also


  1. ^ Böhm, Jacopini. "Flow diagrams, turing machines and languages with only two formation rules" Comm. ACM, 9(5):366-371, May 1966.
  2. ^ a b Roberts, E. [1995] “Loop Exits and Structured Programming: Reopening the Debate,” ACM SIGCSE Bulletin, (27)1: 268–272.
  3. ^ David Anthony Watt; William Findlay (2004). Programming language design concepts. John Wiley & Sons. p. 228.  
  4. ^ Kenneth C. Louden; Kenneth A. Lambert (2011). Programming Languages: Principles and Practices (3 ed.). Cengage Learning. pp. 422–423.  
  5. ^ Advanced Bash Scripting Guide: 11.3. Loop Control
  6. ^ PHP Manual: "break"
  7. ^ perldoc: last
  8. ^ comp.lang.c FAQ list · "Question 20.20b"
  9. ^ [Python-3000] Announcing PEP 3136, Guido van Rossum
  10. ^ a b Kozen, Dexter (2008). "The Böhm–Jacopini Theorem Is False, Propositionally". Lecture Notes in Computer Science: 177–192.  
  11. ^ KOSARAJU, S. RAO. "Analysis of structured programs," Proc. Fifth Annual ACM Syrup. Theory of Computing, (May 1973), 240-252; also in J. Computer and System Sciences, 9, 3 (December 1974). cited by  
  12. ^ David Anthony Watt; William Findlay (2004). Programming language design concepts. John Wiley & Sons. pp. 215–221.  
  13. ^ Meyer, Bertrand (1991). Eiffel: The Language. Prentice Hall. pp. 129–131. 
  14. ^ "Common Lisp LOOP macro". 
  15. ^ for_each. Retrieved on 2010-11-09.
  16. ^ Chapter 1. Boost.Foreach. (2009-12-19). Retrieved on 2010-11-09.
  17. ^ David Anthony Watt; William Findlay (2004). Programming language design concepts. John Wiley & Sons. pp. 221–222.  
  18. ^ We don't know where to GOTO if we don't know where we've COME FROM. This (spoof) linguistic innovation lives up to all expectations. By R. Lawrence Clark* From DATAMATION, December, 1973
  19. ^ Knuth, Donald E. "Structured Programming with go to Statements" ACM Computing Surveys 6(4):261-301, December 1974.
  20. ^ Dahl & Dijkstra & Hoare, "Structured Programming" Academic Press, 1972.
  21. ^ Zahn, C. T. "A control statement for natural top-down structured programming" presented at Symposium on Programming Languages, Paris, 1974.
  • Hoare, C. A. R. "Partition: Algorithm 63," "Quicksort: Algorithm 64," and "Find: Algorithm 65." Comm. ACM 4, 321-322, 1961.

External links

  • Go To Statement Considered Harmful
  • A Linguistic Contribution of GOTO-less Programming
  • Structured Programming with Go To Statements PDF (2.88 MB)
  • IBM 704 Manual PDF (31.4 MB)
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