libzypp 17.31.23
Filter functors operating on ResObjects.

A simple filter is a function or functor matching the signature:

A simple filter is a function or functor matching the signature:

bool simplefilter( ResObject::Ptr );
TraitsType::PtrType Ptr
Definition: ResObject.h:42
Note
It's not neccessary that your function or functor actually returns bool. Anything which is convertible into a bool will do;

Besides basic filter functors which actually evaluate the ResObject (e.g. ByKind, ByName) you may use Functors for building compex queries. to build more complex filters.

// some 'action' functor, printing and counting
// ResObjects.
struct PrintAndCount
{
PrintAndCount( unsigned & counter_r )
: _counter( counter_r )
{}
bool operator()( ResObject::Ptr p ) const
{
DBG << *p << endl;
++_counter;
return true;
}
unsigned & _counter;
};
ResStore store;
unsigned counter = 0;
// print and count all resolvables
store.forEach( PrintAndCount(counter) );
// print and count all resolvables named "kernel"
counter = 0;
store.forEach( ByName("kernel"), PrintAndCount(counter) );
// print and count all Packages named "kernel"
counter = 0;
store.forEach( chain( ByKind(ResKind::package),
ByName("kernel") ),
PrintAndCount(counter) );
// print and count all Packages not named "kernel"
counter = 0;
store.forEach( chain( ByKind(ResKind::package),
not_c(ByName("kernel")) ),
PrintAndCount(counter) );
// same as above ;)
counter = 0;
store.forEach( chain( ByKind(ResKind::package),
chain( not_c(ByName("kernel")),
PrintAndCount(counter) ) ),
true_c() );
static const ResKind package
Definition: ResKind.h:40
Not< TCondition > not_c(TCondition cond_r)
Convenience function for creating a Not from TCondition.
Definition: Functional.h:127
Chain< TACondition, TBCondition > chain(TACondition conda_r, TBCondition condb_r)
Convenience function for creating a Chain from two conditions conda_r and condb_r.
Definition: Functional.h:185
True true_c()
Convenience function for creating a True.
Definition: Functional.h:89
#define DBG
Definition: Logger.h:95

As you can see in the last example there is no difference in using a filter or an action functor, as both have the same signature. A difference of course is the way forEach interprets the returned value.

Consequently you can netgate and chain actions as well. Thus PrintAndCount(counter) could be chain(Print(),Count(counter)), if these functors are provided.

Note
These functors are not limited to be used with ResStore::forEach. You can use them with std::algorithms as well.

PrintAndCount is an example how a functor can return data collected during the query. You ca easily write a collector, that takes a std:list<ResObject::Ptr>& and fills it with the matches found.

But as a rule of thumb, a functor should be lightweight. If you want to get data out, pass references to variables in (and assert these variables live as long as the query lasts). Or use std::ref.

Internally all functors are passed by value. Thus it would not help you to create an instance of some collecting functor, and pass it to the query. The query will then fill a copy of your functor, you won't get the data back. (Well, you probabely could, by using boosr::ref).

Why functors and not plain functions?

You can use plain functions if they don't have to deliver data back to the application. The C-style approach is having functions that take a void * data as last argument. This data pointer is then passed arround and casted up and down.

If you look at a functor, you'll see that it contains both, the function to call (its operator()) and the data you'd otherwise pass as void * data. That's nice and safe.

Todo:
migrate to namespace filter and enhance to support Solvables as well.