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* gcc: (gcc).                  The GNU Compiler Collection.
END-INFO-DIR-ENTRY
   This file documents the use and the internals of the GNU compiler.

   Published by the Free Software Foundation 59 Temple Place - Suite 330
Boston, MA 02111-1307 USA

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   Permission is granted to make and distribute verbatim copies of this
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   Permission is granted to copy and distribute modified versions of
this manual under the conditions for verbatim copying, provided also
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   Permission is granted to copy and distribute translations of this
manual into another language, under the above conditions for modified
versions, except that the sections entitled "GNU General Public
License" and "Funding for Free Software", and this permission notice,
may be included in translations approved by the Free Software Foundation
instead of in the original English.


File: gcc.info,  Node: Naming Results,  Next: Min and Max,  Up: C++ Extensions

Named Return Values in C++
==========================

   GNU C++ extends the function-definition syntax to allow you to
specify a name for the result of a function outside the body of the
definition, in C++ programs:

     TYPE
     FUNCTIONNAME (ARGS) return RESULTNAME;
     {
       ...
       BODY
       ...
     }

   You can use this feature to avoid an extra constructor call when a
function result has a class type.  For example, consider a function
`m', declared as `X v = m ();', whose result is of class `X':

     X
     m ()
     {
       X b;
       b.a = 23;
       return b;
     }

   Although `m' appears to have no arguments, in fact it has one
implicit argument: the address of the return value.  At invocation, the
address of enough space to hold `v' is sent in as the implicit argument.
Then `b' is constructed and its `a' field is set to the value 23.
Finally, a copy constructor (a constructor of the form `X(X&)') is
applied to `b', with the (implicit) return value location as the
target, so that `v' is now bound to the return value.

   But this is wasteful.  The local `b' is declared just to hold
something that will be copied right out.  While a compiler that
combined an "elision" algorithm with interprocedural data flow analysis
could conceivably eliminate all of this, it is much more practical to
allow you to assist the compiler in generating efficient code by
manipulating the return value explicitly, thus avoiding the local
variable and copy constructor altogether.

   Using the extended GNU C++ function-definition syntax, you can avoid
the temporary allocation and copying by naming `r' as your return value
at the outset, and assigning to its `a' field directly:

     X
     m () return r;
     {
       r.a = 23;
     }

The declaration of `r' is a standard, proper declaration, whose effects
are executed *before* any of the body of `m'.

   Functions of this type impose no additional restrictions; in
particular, you can execute `return' statements, or return implicitly by
reaching the end of the function body ("falling off the edge").  Cases
like

     X
     m () return r (23);
     {
       return;
     }

(or even `X m () return r (23); { }') are unambiguous, since the return
value `r' has been initialized in either case.  The following code may
be hard to read, but also works predictably:

     X
     m () return r;
     {
       X b;
       return b;
     }

   The return value slot denoted by `r' is initialized at the outset,
but the statement `return b;' overrides this value.  The compiler deals
with this by destroying `r' (calling the destructor if there is one, or
doing nothing if there is not), and then reinitializing `r' with `b'.

   This extension is provided primarily to help people who use
overloaded operators, where there is a great need to control not just
the arguments, but the return values of functions.  For classes where
the copy constructor incurs a heavy performance penalty (especially in
the common case where there is a quick default constructor), this is a
major savings.  The disadvantage of this extension is that you do not
control when the default constructor for the return value is called: it
is always called at the beginning.


File: gcc.info,  Node: Min and Max,  Next: Destructors and Goto,  Prev: Naming Results,  Up: C++ Extensions

Minimum and Maximum Operators in C++
====================================

   It is very convenient to have operators which return the "minimum"
or the "maximum" of two arguments.  In GNU C++ (but not in GNU C),

`A <? B'
     is the "minimum", returning the smaller of the numeric values A
     and B;

`A >? B'
     is the "maximum", returning the larger of the numeric values A and
     B.

   These operations are not primitive in ordinary C++, since you can
use a macro to return the minimum of two things in C++, as in the
following example.

     #define MIN(X,Y) ((X) < (Y) ? : (X) : (Y))

You might then use `int min = MIN (i, j);' to set MIN to the minimum
value of variables I and J.

   However, side effects in `X' or `Y' may cause unintended behavior.
For example, `MIN (i++, j++)' will fail, incrementing the smaller
counter twice.  A GNU C extension allows you to write safe macros that
avoid this kind of problem (*note Naming an Expression's Type: Naming
Types.).  However, writing `MIN' and `MAX' as macros also forces you to
use function-call notation for a fundamental arithmetic operation.
Using GNU C++ extensions, you can write `int min = i <? j;' instead.

   Since `<?' and `>?' are built into the compiler, they properly
handle expressions with side-effects;  `int min = i++ <? j++;' works
correctly.


File: gcc.info,  Node: Destructors and Goto,  Next: C++ Interface,  Prev: Min and Max,  Up: C++ Extensions

`goto' and Destructors in GNU C++
=================================

   In C++ programs, you can safely use the `goto' statement.  When you
use it to exit a block which contains aggregates requiring destructors,
the destructors will run before the `goto' transfers control.

   The compiler still forbids using `goto' to *enter* a scope that
requires constructors.


File: gcc.info,  Node: C++ Interface,  Next: Template Instantiation,  Prev: Destructors and Goto,  Up: C++ Extensions

Declarations and Definitions in One Header
==========================================

   C++ object definitions can be quite complex.  In principle, your
source code will need two kinds of things for each object that you use
across more than one source file.  First, you need an "interface"
specification, describing its structure with type declarations and
function prototypes.  Second, you need the "implementation" itself.  It
can be tedious to maintain a separate interface description in a header
file, in parallel to the actual implementation.  It is also dangerous,
since separate interface and implementation definitions may not remain
parallel.

   With GNU C++, you can use a single header file for both purposes.

     *Warning:* The mechanism to specify this is in transition.  For the
     nonce, you must use one of two `#pragma' commands; in a future
     release of GNU C++, an alternative mechanism will make these
     `#pragma' commands unnecessary.

   The header file contains the full definitions, but is marked with
`#pragma interface' in the source code.  This allows the compiler to
use the header file only as an interface specification when ordinary
source files incorporate it with `#include'.  In the single source file
where the full implementation belongs, you can use either a naming
convention or `#pragma implementation' to indicate this alternate use
of the header file.

`#pragma interface'
`#pragma interface "SUBDIR/OBJECTS.h"'
     Use this directive in *header files* that define object classes,
     to save space in most of the object files that use those classes.
     Normally, local copies of certain information (backup copies of
     inline member functions, debugging information, and the internal
     tables that implement virtual functions) must be kept in each
     object file that includes class definitions.  You can use this
     pragma to avoid such duplication.  When a header file containing
     `#pragma interface' is included in a compilation, this auxiliary
     information will not be generated (unless the main input source
     file itself uses `#pragma implementation').  Instead, the object
     files will contain references to be resolved at link time.

     The second form of this directive is useful for the case where you
     have multiple headers with the same name in different directories.
     If you use this form, you must specify the same string to `#pragma
     implementation'.

`#pragma implementation'
`#pragma implementation "OBJECTS.h"'
     Use this pragma in a *main input file*, when you want full output
     from included header files to be generated (and made globally
     visible).  The included header file, in turn, should use `#pragma
     interface'.  Backup copies of inline member functions, debugging
     information, and the internal tables used to implement virtual
     functions are all generated in implementation files.

     If you use `#pragma implementation' with no argument, it applies to
     an include file with the same basename(1) as your source file.
     For example, in `allclass.cc', giving just `#pragma implementation'
     by itself is equivalent to `#pragma implementation "allclass.h"'.

     In versions of GNU C++ prior to 2.6.0 `allclass.h' was treated as
     an implementation file whenever you would include it from
     `allclass.cc' even if you never specified `#pragma
     implementation'.  This was deemed to be more trouble than it was
     worth, however, and disabled.

     If you use an explicit `#pragma implementation', it must appear in
     your source file *before* you include the affected header files.

     Use the string argument if you want a single implementation file to
     include code from multiple header files.  (You must also use
     `#include' to include the header file; `#pragma implementation'
     only specifies how to use the file--it doesn't actually include
     it.)

     There is no way to split up the contents of a single header file
     into multiple implementation files.

   `#pragma implementation' and `#pragma interface' also have an effect
on function inlining.

   If you define a class in a header file marked with `#pragma
interface', the effect on a function defined in that class is similar to
an explicit `extern' declaration--the compiler emits no code at all to
define an independent version of the function.  Its definition is used
only for inlining with its callers.

   Conversely, when you include the same header file in a main source
file that declares it as `#pragma implementation', the compiler emits
code for the function itself; this defines a version of the function
that can be found via pointers (or by callers compiled without
inlining).  If all calls to the function can be inlined, you can avoid
emitting the function by compiling with `-fno-implement-inlines'.  If
any calls were not inlined, you will get linker errors.

   ---------- Footnotes ----------

   (1) A file's "basename" was the name stripped of all leading path
information and of trailing suffixes, such as `.h' or `.C' or `.cc'.


File: gcc.info,  Node: Template Instantiation,  Next: Bound member functions,  Prev: C++ Interface,  Up: C++ Extensions

Where's the Template?
=====================

   C++ templates are the first language feature to require more
intelligence from the environment than one usually finds on a UNIX
system.  Somehow the compiler and linker have to make sure that each
template instance occurs exactly once in the executable if it is needed,
and not at all otherwise.  There are two basic approaches to this
problem, which I will refer to as the Borland model and the Cfront
model.

Borland model
     Borland C++ solved the template instantiation problem by adding
     the code equivalent of common blocks to their linker; the compiler
     emits template instances in each translation unit that uses them,
     and the linker collapses them together.  The advantage of this
     model is that the linker only has to consider the object files
     themselves; there is no external complexity to worry about.  This
     disadvantage is that compilation time is increased because the
     template code is being compiled repeatedly.  Code written for this
     model tends to include definitions of all templates in the header
     file, since they must be seen to be instantiated.

Cfront model
     The AT&T C++ translator, Cfront, solved the template instantiation
     problem by creating the notion of a template repository, an
     automatically maintained place where template instances are
     stored.  A more modern version of the repository works as follows:
     As individual object files are built, the compiler places any
     template definitions and instantiations encountered in the
     repository.  At link time, the link wrapper adds in the objects in
     the repository and compiles any needed instances that were not
     previously emitted.  The advantages of this model are more optimal
     compilation speed and the ability to use the system linker; to
     implement the Borland model a compiler vendor also needs to
     replace the linker.  The disadvantages are vastly increased
     complexity, and thus potential for error; for some code this can be
     just as transparent, but in practice it can been very difficult to
     build multiple programs in one directory and one program in
     multiple directories.  Code written for this model tends to
     separate definitions of non-inline member templates into a
     separate file, which should be compiled separately.

   When used with GNU ld version 2.8 or later on an ELF system such as
Linux/GNU or Solaris 2, or on Microsoft Windows, g++ supports the
Borland model.  On other systems, g++ implements neither automatic
model.

   A future version of g++ will support a hybrid model whereby the
compiler will emit any instantiations for which the template definition
is included in the compile, and store template definitions and
instantiation context information into the object file for the rest.
The link wrapper will extract that information as necessary and invoke
the compiler to produce the remaining instantiations.  The linker will
then combine duplicate instantiations.

   In the mean time, you have the following options for dealing with
template instantiations:

  1. Compile your template-using code with `-frepo'.  The compiler will
     generate files with the extension `.rpo' listing all of the
     template instantiations used in the corresponding object files
     which could be instantiated there; the link wrapper, `collect2',
     will then update the `.rpo' files to tell the compiler where to
     place those instantiations and rebuild any affected object files.
     The link-time overhead is negligible after the first pass, as the
     compiler will continue to place the instantiations in the same
     files.

     This is your best option for application code written for the
     Borland model, as it will just work.  Code written for the Cfront
     model will need to be modified so that the template definitions
     are available at one or more points of instantiation; usually this
     is as simple as adding `#include <tmethods.cc>' to the end of each
     template header.

     For library code, if you want the library to provide all of the
     template instantiations it needs, just try to link all of its
     object files together; the link will fail, but cause the
     instantiations to be generated as a side effect.  Be warned,
     however, that this may cause conflicts if multiple libraries try
     to provide the same instantiations.  For greater control, use
     explicit instantiation as described in the next option.

  2. Compile your code with `-fno-implicit-templates' to disable the
     implicit generation of template instances, and explicitly
     instantiate all the ones you use.  This approach requires more
     knowledge of exactly which instances you need than do the others,
     but it's less mysterious and allows greater control.  You can
     scatter the explicit instantiations throughout your program,
     perhaps putting them in the translation units where the instances
     are used or the translation units that define the templates
     themselves; you can put all of the explicit instantiations you
     need into one big file; or you can create small files like

          #include "Foo.h"
          #include "Foo.cc"
          
          template class Foo<int>;
          template ostream& operator <<
                          (ostream&, const Foo<int>&);

     for each of the instances you need, and create a template
     instantiation library from those.

     If you are using Cfront-model code, you can probably get away with
     not using `-fno-implicit-templates' when compiling files that don't
     `#include' the member template definitions.

     If you use one big file to do the instantiations, you may want to
     compile it without `-fno-implicit-templates' so you get all of the
     instances required by your explicit instantiations (but not by any
     other files) without having to specify them as well.

     g++ has extended the template instantiation syntax outlined in the
     Working Paper to allow forward declaration of explicit
     instantiations and instantiation of the compiler support data for
     a template class (i.e. the vtable) without instantiating any of
     its members:

          extern template int max (int, int);
          inline template class Foo<int>;

  3. Do nothing.  Pretend g++ does implement automatic instantiation
     management.  Code written for the Borland model will work fine, but
     each translation unit will contain instances of each of the
     templates it uses.  In a large program, this can lead to an
     unacceptable amount of code duplication.

  4. Add `#pragma interface' to all files containing template
     definitions.  For each of these files, add `#pragma implementation
     "FILENAME"' to the top of some `.C' file which `#include's it.
     Then compile everything with `-fexternal-templates'.  The
     templates will then only be expanded in the translation unit which
     implements them (i.e. has a `#pragma implementation' line for the
     file where they live); all other files will use external
     references.  If you're lucky, everything should work properly.  If
     you get undefined symbol errors, you need to make sure that each
     template instance which is used in the program is used in the file
     which implements that template.  If you don't have any use for a
     particular instance in that file, you can just instantiate it
     explicitly, using the syntax from the latest C++ working paper:

          template class A<int>;
          template ostream& operator << (ostream&, const A<int>&);

     This strategy will work with code written for either model.  If
     you are using code written for the Cfront model, the file
     containing a class template and the file containing its member
     templates should be implemented in the same translation unit.

     A slight variation on this approach is to instead use the flag
     `-falt-external-templates'; this flag causes template instances to
     be emitted in the translation unit that implements the header
     where they are first instantiated, rather than the one which
     implements the file where the templates are defined.  This header
     must be the same in all translation units, or things are likely to
     break.

     *Note Declarations and Definitions in One Header: C++ Interface,
     for more discussion of these pragmas.


File: gcc.info,  Node: Bound member functions,  Next: C++ Signatures,  Prev: Template Instantiation,  Up: C++ Extensions

Extracting the function pointer from a bound pointer to member function
=======================================================================

   In C++, pointer to member functions (PMFs) are implemented using a
wide pointer of sorts to handle all the possible call mechanisms; the
PMF needs to store information about how to adjust the `this' pointer,
and if the function pointed to is virtual, where to find the vtable, and
where in the vtable to look for the member function.  If you are using
PMFs in an inner loop, you should really reconsider that decision.  If
that is not an option, you can extract the pointer to the function that
would be called for a given object/PMF pair and call it directly inside
the inner loop, to save a bit of time.

   Note that you will still be paying the penalty for the call through a
function pointer; on most modern architectures, such a call defeats the
branch prediction features of the CPU.  This is also true of normal
virtual function calls.

   The syntax for this extension is

     extern A a;
     extern int (A::*fp)();
     typedef int (*fptr)(A *);
     
     fptr p = (fptr)(a.*fp);

   You must specify `-Wno-pmf-conversions' to use this extension.


File: gcc.info,  Node: C++ Signatures,  Prev: Bound member functions,  Up: C++ Extensions

Type Abstraction using Signatures
=================================

   In GNU C++, you can use the keyword `signature' to define a
completely abstract class interface as a datatype.  You can connect this
abstraction with actual classes using signature pointers.  If you want
to use signatures, run the GNU compiler with the `-fhandle-signatures'
command-line option.  (With this option, the compiler reserves a second
keyword `sigof' as well, for a future extension.)

   Roughly, signatures are type abstractions or interfaces of classes.
Some other languages have similar facilities.  C++ signatures are
related to ML's signatures, Haskell's type classes, definition modules
in Modula-2, interface modules in Modula-3, abstract types in Emerald,
type modules in Trellis/Owl, categories in Scratchpad II, and types in
POOL-I.  For a more detailed discussion of signatures, see `Signatures:
A Language Extension for Improving Type Abstraction and Subtype
Polymorphism in C++' by Gerald Baumgartner and Vincent F. Russo (Tech
report CSD-TR-95-051, Dept. of Computer Sciences, Purdue University,
August 1995, a slightly improved version appeared in
*Software--Practice & Experience*, 25(8), pp. 863-889, August 1995).
You can get the tech report by anonymous FTP from `ftp.cs.purdue.edu'
in `pub/gb/Signature-design.ps.gz'.

   Syntactically, a signature declaration is a collection of member
function declarations and nested type declarations.  For example, this
signature declaration defines a new abstract type `S' with member
functions `int foo ()' and `int bar (int)':

     signature S
     {
       int foo ();
       int bar (int);
     };

   Since signature types do not include implementation definitions, you
cannot write an instance of a signature directly.  Instead, you can
define a pointer to any class that contains the required interfaces as a
"signature pointer".  Such a class "implements" the signature type.

   To use a class as an implementation of `S', you must ensure that the
class has public member functions `int foo ()' and `int bar (int)'.
The class can have other member functions as well, public or not; as
long as it offers what's declared in the signature, it is suitable as
an implementation of that signature type.

   For example, suppose that `C' is a class that meets the requirements
of signature `S' (`C' "conforms to" `S').  Then

     C obj;
     S * p = &obj;

defines a signature pointer `p' and initializes it to point to an
object of type `C'.  The member function call `int i = p->foo ();'
executes `obj.foo ()'.

   Abstract virtual classes provide somewhat similar facilities in
standard C++.  There are two main advantages to using signatures
instead:

  1. Subtyping becomes independent from inheritance.  A class or
     signature type `T' is a subtype of a signature type `S'
     independent of any inheritance hierarchy as long as all the member
     functions declared in `S' are also found in `T'.  So you can
     define a subtype hierarchy that is completely independent from any
     inheritance (implementation) hierarchy, instead of being forced to
     use types that mirror the class inheritance hierarchy.

  2. Signatures allow you to work with existing class hierarchies as
     implementations of a signature type.  If those class hierarchies
     are only available in compiled form, you're out of luck with
     abstract virtual classes, since an abstract virtual class cannot
     be retrofitted on top of existing class hierarchies.  So you would
     be required to write interface classes as subtypes of the abstract
     virtual class.

   There is one more detail about signatures.  A signature declaration
can contain member function *definitions* as well as member function
declarations.  A signature member function with a full definition is
called a *default implementation*; classes need not contain that
particular interface in order to conform.  For example, a class `C' can
conform to the signature

     signature T
     {
       int f (int);
       int f0 () { return f (0); };
     };

whether or not `C' implements the member function `int f0 ()'.  If you
define `C::f0', that definition takes precedence; otherwise, the
default implementation `S::f0' applies.


File: gcc.info,  Node: Gcov,  Next: Trouble,  Prev: C++ Extensions,  Up: Top

`gcov': a Test Coverage Program
*******************************

   `gcov' is a tool you can use in conjunction with GNU CC to test code
coverage in your programs.

   This chapter describes version 1.5 of `gcov'.

* Menu:

* Gcov Intro::         	        Introduction to gcov.
* Invoking Gcov::       	How to use gcov.
* Gcov and Optimization::       Using gcov with GCC optimization.
* Gcov Data Files::             The files used by gcov.


File: gcc.info,  Node: Gcov Intro,  Next: Invoking Gcov,  Up: Gcov

Introduction to `gcov'
======================

   `gcov' is a test coverage program.  Use it in concert with GNU CC to
analyze your programs to help create more efficient, faster running
code.  You can use `gcov' as a profiling tool to help discover where
your optimization efforts will best affect your code.  You can also use
`gcov' along with the other profiling tool, `gprof', to assess which
parts of your code use the greatest amount of computing time.

   Profiling tools help you analyze your code's performance.  Using a
profiler such as `gcov' or `gprof', you can find out some basic
performance statistics, such as:

   * how often each line of code executes

   * what lines of code are actually executed

   * how much computing time each section of code uses

   Once you know these things about how your code works when compiled,
you can look at each module to see which modules should be optimized.
`gcov' helps you determine where to work on optimization.

   Software developers also use coverage testing in concert with
testsuites, to make sure software is actually good enough for a release.
Testsuites can verify that a program works as expected; a coverage
program tests to see how much of the program is exercised by the
testsuite.  Developers can then determine what kinds of test cases need
to be added to the testsuites to create both better testing and a better
final product.

   You should compile your code without optimization if you plan to use
`gcov' because the optimization, by combining some lines of code into
one function, may not give you as much information as you need to look
for `hot spots' where the code is using a great deal of computer time.
Likewise, because `gcov' accumulates statistics by line (at the lowest
resolution), it works best with a programming style that places only
one statement on each line.  If you use complicated macros that expand
to loops or to other control structures, the statistics are less
helpful--they only report on the line where the macro call appears.  If
your complex macros behave like functions, you can replace them with
inline functions to solve this problem.

   `gcov' creates a logfile called `SOURCEFILE.gcov' which indicates
how many times each line of a source file `SOURCEFILE.c' has executed.
You can use these logfiles along with `gprof' to aid in fine-tuning the
performance of your programs.  `gprof' gives timing information you can
use along with the information you get from `gcov'.

   `gcov' works only on code compiled with GNU CC.  It is not
compatible with any other profiling or test coverage mechanism.


File: gcc.info,  Node: Invoking Gcov,  Next: Gcov and Optimization,  Prev: Gcov Intro,  Up: Gcov

Invoking gcov
=============

     gcov [-b] [-v] [-n] [-l] [-f] [-o directory] SOURCEFILE

`-b'
     Write branch frequencies to the output file, and write branch
     summary info to the standard output.  This option allows you to
     see how often each branch in your program was taken.

`-v'
     Display the `gcov' version number (on the standard error stream).

`-n'
     Do not create the `gcov' output file.

`-l'
     Create long file names for included source files.  For example, if
     the header file `x.h' contains code, and was included in the file
     `a.c', then running `gcov' on the file `a.c' will produce an
     output file called `a.c.x.h.gcov' instead of `x.h.gcov'.  This can
     be useful if `x.h' is included in multiple source files.

`-f'
     Output summaries for each function in addition to the file level
     summary.

`-o'
     The directory where the object files live.  Gcov will search for
     `.bb', `.bbg', and `.da' files in this directory.

   When using `gcov', you must first compile your program with two
special GNU CC options: `-fprofile-arcs -ftest-coverage'.  This tells
the compiler to generate additional information needed by gcov
(basically a flow graph of the program) and also includes additional
code in the object files for generating the extra profiling information
needed by gcov.  These additional files are placed in the directory
where the source code is located.

   Running the program will cause profile output to be generated.  For
each source file compiled with -fprofile-arcs, an accompanying `.da'
file will be placed in the source directory.

   Running `gcov' with your program's source file names as arguments
will now produce a listing of the code along with frequency of execution
for each line.  For example, if your program is called `tmp.c', this is
what you see when you use the basic `gcov' facility:

     $ gcc -fprofile-arcs -ftest-coverage tmp.c
     $ a.out
     $ gcov tmp.c
      87.50% of 8 source lines executed in file tmp.c
     Creating tmp.c.gcov.

   The file `tmp.c.gcov' contains output from `gcov'.  Here is a sample:

                     main()
                     {
                1      int i, total;
     
                1      total = 0;
     
               11      for (i = 0; i < 10; i++)
               10        total += i;
     
                1      if (total != 45)
           ######        printf ("Failure\n");
                       else
                1        printf ("Success\n");
                1    }

   When you use the `-b' option, your output looks like this:

     $ gcov -b tmp.c
      87.50% of 8 source lines executed in file tmp.c
      80.00% of 5 branches executed in file tmp.c
      80.00% of 5 branches taken at least once in file tmp.c
      50.00% of 2 calls executed in file tmp.c
     Creating tmp.c.gcov.

   Here is a sample of a resulting `tmp.c.gcov' file:

                     main()
                     {
                1      int i, total;
     
                1      total = 0;
     
               11      for (i = 0; i < 10; i++)
     branch 0 taken = 91%
     branch 1 taken = 100%
     branch 2 taken = 100%
               10        total += i;
     
                1      if (total != 45)
     branch 0 taken = 100%
           ######        printf ("Failure\n");
     call 0 never executed
     branch 1 never executed
                       else
                1        printf ("Success\n");
     call 0 returns = 100%
                1    }

   For each basic block, a line is printed after the last line of the
basic block describing the branch or call that ends the basic block.
There can be multiple branches and calls listed for a single source
line if there are multiple basic blocks that end on that line.  In this
case, the branches and calls are each given a number.  There is no
simple way to map these branches and calls back to source constructs.
In general, though, the lowest numbered branch or call will correspond
to the leftmost construct on the source line.

   For a branch, if it was executed at least once, then a percentage
indicating the number of times the branch was taken divided by the
number of times the branch was executed will be printed.  Otherwise, the
message "never executed" is printed.

   For a call, if it was executed at least once, then a percentage
indicating the number of times the call returned divided by the number
of times the call was executed will be printed.  This will usually be
100%, but may be less for functions call `exit' or `longjmp', and thus
may not return everytime they are called.

   The execution counts are cumulative.  If the example program were
executed again without removing the `.da' file, the count for the
number of times each line in the source was executed would be added to
the results of the previous run(s).  This is potentially useful in
several ways.  For example, it could be used to accumulate data over a
number of program runs as part of a test verification suite, or to
provide more accurate long-term information over a large number of
program runs.

   The data in the `.da' files is saved immediately before the program
exits.  For each source file compiled with -fprofile-arcs, the profiling
code first attempts to read in an existing `.da' file; if the file
doesn't match the executable (differing number of basic block counts) it
will ignore the contents of the file.  It then adds in the new execution
counts and finally writes the data to the file.


File: gcc.info,  Node: Gcov and Optimization,  Next: Gcov Data Files,  Prev: Invoking Gcov,  Up: Gcov

Using `gcov' with GCC Optimization
==================================

   If you plan to use `gcov' to help optimize your code, you must first
compile your program with two special GNU CC options: `-fprofile-arcs
-ftest-coverage'.  Aside from that, you can use any other GNU CC
options; but if you want to prove that every single line in your
program was executed, you should not compile with optimization at the
same time.  On some machines the optimizer can eliminate some simple
code lines by combining them with other lines.  For example, code like
this:

     if (a != b)
       c = 1;
     else
       c = 0;

can be compiled into one instruction on some machines.  In this case,
there is no way for `gcov' to calculate separate execution counts for
each line because there isn't separate code for each line.  Hence the
`gcov' output looks like this if you compiled the program with
optimization:

           100  if (a != b)
           100    c = 1;
           100  else
           100    c = 0;

   The output shows that this block of code, combined by optimization,
executed 100 times.  In one sense this result is correct, because there
was only one instruction representing all four of these lines.  However,
the output does not indicate how many times the result was 0 and how
many times the result was 1.


File: gcc.info,  Node: Gcov Data Files,  Prev: Gcov and Optimization,  Up: Gcov

Brief description of `gcov' data files
======================================

   `gcov' uses three files for doing profiling.  The names of these
files are derived from the original *source* file by substituting the
file suffix with either `.bb', `.bbg', or `.da'.  All of these files
are placed in the same directory as the source file, and contain data
stored in a platform-independent method.

   The `.bb' and `.bbg' files are generated when the source file is
compiled with the GNU CC `-ftest-coverage' option.  The `.bb' file
contains a list of source files (including headers), functions within
those files, and line numbers corresponding to each basic block in the
source file.

   The `.bb' file format consists of several lists of 4-byte integers
which correspond to the line numbers of each basic block in the file.
Each list is terminated by a line number of 0.  A line number of -1 is
used to designate that the source file name (padded to a 4-byte
boundary and followed by another -1) follows.  In addition, a line
number of -2 is used to designate that the name of a function (also
padded to a 4-byte boundary and followed by a -2) follows.

   The `.bbg' file is used to reconstruct the program flow graph for
the source file.  It contains a list of the program flow arcs (possible
branches taken from one basic block to another) for each function which,
in combination with the `.bb' file, enables gcov to reconstruct the
program flow.

   In the `.bbg' file, the format is:
             number of basic blocks for function #0 (4-byte number)
             total number of arcs for function #0 (4-byte number)
             count of arcs in basic block #0 (4-byte number)
             destination basic block of arc #0 (4-byte number)
             flag bits (4-byte number)
             destination basic block of arc #1 (4-byte number)
             flag bits (4-byte number)
             ...
             destination basic block of arc #N (4-byte number)
             flag bits (4-byte number)
             count of arcs in basic block #1 (4-byte number)
             destination basic block of arc #0 (4-byte number)
             flag bits (4-byte number)
             ...

   A -1 (stored as a 4-byte number) is used to separate each function's
list of basic blocks, and to verify that the file has been read
correctly.

   The `.da' file is generated when a program containing object files
built with the GNU CC `-fprofile-arcs' option is executed.  A separate
`.da' file is created for each source file compiled with this option,
and the name of the `.da' file is stored as an absolute pathname in the
resulting object file.  This path name is derived from the source file
name by substituting a `.da' suffix.

   The format of the `.da' file is fairly simple.  The first 8-byte
number is the number of counts in the file, followed by the counts
(stored as 8-byte numbers).  Each count corresponds to the number of
times each arc in the program is executed.  The counts are cumulative;
each time the program is executed, it attemps to combine the existing
`.da' files with the new counts for this invocation of the program.  It
ignores the contents of any `.da' files whose number of arcs doesn't
correspond to the current program, and merely overwrites them instead.

   All three of these files use the functions in `gcov-io.h' to store
integers; the functions in this header provide a machine-independent
mechanism for storing and retrieving data from a stream.


File: gcc.info,  Node: Trouble,  Next: Bugs,  Prev: Gcov,  Up: Top

Known Causes of Trouble with GCC
********************************

   This section describes known problems that affect users of GCC.  Most
of these are not GCC bugs per se--if they were, we would fix them.  But
the result for a user may be like the result of a bug.

   Some of these problems are due to bugs in other software, some are
missing features that are too much work to add, and some are places
where people's opinions differ as to what is best.

* Menu:

* Actual Bugs::		      Bugs we will fix later.
* Installation Problems::     Problems that manifest when you install GCC.
* Cross-Compiler Problems::   Common problems of cross compiling with GCC.
* Interoperation::      Problems using GCC with other compilers,
			   and with certain linkers, assemblers and debuggers.
* External Bugs::	Problems compiling certain programs.
* Incompatibilities::   GCC is incompatible with traditional C.
* Fixed Headers::       GNU C uses corrected versions of system header files.
                           This is necessary, but doesn't always work smoothly.
* Standard Libraries::  GNU C uses the system C library, which might not be
                           compliant with the ISO/ANSI C standard.
* Disappointments::     Regrettable things we can't change, but not quite bugs.
* C++ Misunderstandings::     Common misunderstandings with GNU C++.
* Protoize Caveats::    Things to watch out for when using `protoize'.
* Non-bugs::		Things we think are right, but some others disagree.
* Warnings and Errors:: Which problems in your code get warnings,
                         and which get errors.


File: gcc.info,  Node: Actual Bugs,  Next: Installation Problems,  Up: Trouble

Actual Bugs We Haven't Fixed Yet
================================

   * The `fixincludes' script interacts badly with automounters; if the
     directory of system header files is automounted, it tends to be
     unmounted while `fixincludes' is running.  This would seem to be a
     bug in the automounter.  We don't know any good way to work around
     it.

   * The `fixproto' script will sometimes add prototypes for the
     `sigsetjmp' and `siglongjmp' functions that reference the
     `jmp_buf' type before that type is defined.  To work around this,
     edit the offending file and place the typedef in front of the
     prototypes.

   * There are several obscure case of mis-using struct, union, and
     enum tags that are not detected as errors by the compiler.

   * When `-pedantic-errors' is specified, GCC will incorrectly give an
     error message when a function name is specified in an expression
     involving the comma operator.

   * Loop unrolling doesn't work properly for certain C++ programs.
     This is a bug in the C++ front end.  It sometimes emits incorrect
     debug info, and the loop unrolling code is unable to recover from
     this error.

