Instead of having different marker sizes in legend as separate legend nodes,
the new "collapsed" mode packs all sizes into one legend node.
This commit only makes it available in the API, not exposed in GUI yet.
Flags can be used to control how features are added to the sink.
For now, there's only a single flag available - FastInsert.
When FastInsert is set, faster inserts will be use at the cost
of updating the passed features to reflect changes made at the
provider.
This includes skipping the update of the passed feature IDs
to match the resulting feature IDs for the feature within
the data provider.
Individual sink subclasses may or may not choose to respect
this flag, depending on whether or not skipping this update
represents a significant speed boost for the operation.
QgsVectorLayer always ignores the flag - feature ids are
required for the featureAdded signal to be correctly emitted,
and it's expected that performance critical applications will
add features directly to a data provider instead of
via QgsVectorLayer's edit buffer.
Subdivides the geometry. The returned geometry will be a collection
containing subdivided parts from the original geometry, where no
part has more then the specified maximum number of nodes.
In python, the wkb type of a QgsPoint will by default be determined from
the provided parameters, where Z and M will be added as required if the
wkbType is Undefined.
QgsPoint(x, y, z=nan, m=nan, wkbType=QgsWkbTypes.Undefined)
Thanks to the python API support of named parameters, it's also
straightforward to specify z, m and wkbType in any desired combination.
On the other hand, on C++ side it's often preferable to use
QgsPoint(QgsWkbTypes::WkbType wkbType, double x, double y, double z, double m);
due to the lack of named parameters which make it harder to specify a
specific type and the advantage of typesafety that makes it possible to
verload the first constructor with this one.
