model execution
And use this function to determine in advance dependencies between
child algorithm parameters with expression based values and
which other child algorithms they depend upon.
Contains variables for model parameters, algorithm results for
other child algorithms which are not dependent on the
algorithm.
Allows removal of final pieces of ModelerAlgorithm code
The expression is evaluated just before the child algorithm is
executed, so can utilise results already calculated by other
children in the model through the use of expression context
functions
Since it's safe to evaluate parameters in background threads
now, it's usually going to be ok to evaluate everything in
the processAlgorithm step.
This keeps the algorithm code as simple as possible, and will
make porting faster.
Note that the prepare/postProcess virtual methods still exist
and can be used when an algorithm MUST do setup/cleanup work
in the main thread.
So that multiple input type parameters are correctly handled,
allowing models with child algorithms like merge to correctly
use any combination of static layers/model inputs/child outputs
as their input parameter
