We need a way for higher layers to discard their caching and re-evaluate,
once some expansion layer was invoked to replace the current element with
its (functionally defined) "children" -- otherwise the first child will
remain obscured by what was there beforehand.
Solution is to pass such manipulation calls through the full chain of
decorators, allowing them to refresh themselves when necessary. To achieve
that technially, we add a base layer to absorb any such call passed down
through the whole decorator chain -- since we can not assume that the
parent, the original source core implements those manipualation calls
like expandChildren()
due to switching from ADL extension points to member functions,
we now need to detect a "state core" type in a different fashion.
The specific twist is that we can not spell out the full signature
in all cases, since the result type will be formed as a consequence
of this type detection. Thus there are now additional detectors to
probe for the presence of a specific function name only, and the
distinction between members and member functions has been sharpened.
Considering the fact that we are bound to introduce yet another iteration control function,
because there is literally no other way to cause a refresh within the IterTreeExplorer-Layers,
it is indicated to reconsider the way how IterStateWrapper attaches to the
iteration control API.
As it turns out, we'll never need an ADL-free function here;
and it seems fully adequate to require all "state core" objects to expose
the API as argument less member function. Because these reflect precisely
the contract of a "state core", so why not have them as member functions.
And as a nice extra, the implementation becomes way more concise in
all the cases refactored with this changeset!
Yet still, we stick to the basic design, *not* relying on virtual functions.
So this is a typical example of a Type Class (or "Concept" in C++ terminology)
- always layer the TreeExplorer (builder) on top of the stack
- always intersperse an IterableDecorator in between adjacent layers
- consequently...
* each layer implementation is now a "state core"
* and the source is now always a Lumiera Iterator
This greatly simplifies all the type rebindings and avoids the
ambiguities in argument converison. Basically now we can always convert
down, and we just need to pick the result type of the bound functor.
Downside is we have now always an adaptation wrapper in between,
but we can assume the compiler is able to optimise such inline
accessors away without overhead.
...yet this seems like a rather bad idea,
it breeds various problems and requires arcane trickery to make it fly
==> abandon this design
==> always intersperse an IterableDecorator between each pair of Layers
...especially relevant in the context of TreeExplorer,
where the general understanding is that the "Data Source" (whatever it is)
will be piggy-backed into the pipeline builder, and this wrapping is
conceived as being essentially a no-op.
It is quite possible we'll even start using such pipeline builders
in concert with move-only types. Just consider a UI-navigator state
hooked up with a massive implementation internal pointer tree attached
to all of the major widgets in the UI. Nothing you want to copy in passing by.
As it turned out, we had two bugs luring in the code base,
with the happy result of one cancelling out the adverse effects of the other
:-D
- a mistake in the invocation of the Itertools (transform, filter,...)
caused them to move and consume any input passed by forwarding, instead
of consuming only the RValue references.
- but util::join did an extraneous copy on its data source, meaning that
in all relevant cases where a *copy* got passed into the Itertools,
only that spurious temporary was consumed by Bug #1.
(Note that most usages of Itertools rely on RValues anyway, since the whole
point of Itertools is to write concise in-line transformation pipelines...)
*** Added additional testcode to prove util::stringify() behaves correct
now in all cases.
Obsoletes and replaces the ad-hoc written type rebindings from
iter-adapter and friends. The new scheme is more consistent and does
less magic, which necessitates an additional remove_pointer<IT> within
the iterator adaptors. Rationale is, "pointer" is treated now just as
a primitive type without additional magic or unwrapping, since it is
impossible to tell generically if the pointer or the pointee was
meant to be the "value"
Oh well.
This kept me busy a whole day long -- and someone less stubborn like myself
would probably supect a "compiler bug" or put the blame on the language C++
So to stress this point: the compiler behaved CORRECT
Just SFINAE is dangerous stuff: the metafunction I concieved yesterday requires
a complete type, yet, under rather specific circumstances, when instantiating
mutually dependent templates (in our case lib::diff::Record<GenNode> is a
recursive type), the distinction between "complete" and "incomplete"
becomes blurry, and depends on the processing order. Which gave the
misleading impression as if there was a side-effect where the presence
of one definition changes the meaning of another one used in the same
program. What happened in fact was just that the evaluation order was
changed, causing the metafunction to fail silently, thus picking
another specialisation.
- we do strip references
- we delegate to nested typedefs
Hoever, we do *not* treat const or pointers in any way special --
if the user want to strip or level these, he has to do so explicitly.
Initially it seemed like a good idea to do something clever here, but
on the long run, such "special treatment" is just good for surprises
...automatically whenever those are present.
Up to now, we hat that as base case, which limited usage to those cases
where we already know such nested definitions are actually present
attempt to re-use the same traits as much as possible
NOTE: new code not passing compiler yet, but refactored old code
does, and still passes unit test
this is a subtle change which, given all interfaces were used in a logically
consistent way, should not cause any observable change to the yielded elements.
But it changes runtime behaviour, insofar now the evalutaion is initiated
lazily, when first requesting a result type. Prior to this change, the
constructor immediately issued a call to the yield() extension point,
which presumably has the side-effect of preparing the core and initiating
any embedded evaluation, in order to get at the first result; it might
even detect an empty state.
Given the fact that all access operations on the iterator front-end perform
an empty check (and possibly throw at that point), this call is redundant.
surprising behaviour encountered while covering more cases
...obviously the return type of ExpandFunctor::operator()
was inferred as value, even while the invoked functor, from which
this type was deduced, clearly returns a reference.
Solution is simple not to rely on inference, moreover since we know
the exact type in the enclosing scope, thanks to the refactoring which
made this ExpandFunctor a nested class
NOTE:
as it turned out, this is not a compiler bug,
but works as defined by the language:
on return type inference, the detected type is decayed,
which usually helps to prevent returning a reference to a temporary
...while this implementation works now, it is still very complex and intricate.
I am still doubtful this is a good approach, but well, we need to try that route....
but possible only for the iterator -> iterator case
Since we can not "probe" a generic lambda, we get only one shot:
we can try to bind it into a std::function with the assumed signature
This is a consequence of the experiments with generic lambdas.
Up to now, lib::meta::_Fun<F> failed with a compilation error
when passing the decltype of such a generic lambda.
The new behaviour is to pick the empty specialisation (std::false_type) in such cases,
allowing to guard explicit specialisations when no suitable functor type
is passed
Basically we want to support two distinct cases, just by slightly adapting
the invocation of the expansion functor:
Case-1: classical monadic flatMap:
the Functor accepts a value yielded by the source iterator
and builds a new "expaneded" iterator
Case-2: manipulation of opaque implementation state
the Functor knows internal details of the source iterator
and thus takes the source iterator as such as argument,
performs some manipulation and then builds a new sub-iterator
A soulution to reconcile those two distinct cases can be built
with the help of a generic lambda
this solution makes me feel somewhat queasy..
stacking several adaptors and wrappers and traits on top of each other.
Well, it type checks and passes the test, so let's trust functional programming
The plan is to use a monad-like scheme, but allow for a lot of leeway
with respect to the src and value types of the expand functor.
A key idea is to allow for a *different* state core than used in the source
...but does not work as intended:
* just forming an IterStateWrapper does not trigger SFINAE cleanly in all cases
* IterStateWrapper can be formed, even when some of the extension points are missing;
this will be uncovered only later, when actually using one of the operations
but beyond that, the basic type selection logic can work this way
Here, the tricky question remains, how to relate this evalutaion scheme
to the well known monadic handling of collections and iterators.
It seems, we can not yet decide upon that question, rather we should
first try to build a concrete implementation of the envisioned algorithm
and then reconsider the question later, to what extent this is "monadic"
This can be seen as a side track, but the hope is
by relying on some kind of monadic evaluation pattern, we'll be
able to to reconcile the IterExplorer draft from 2012 with the requirement
to keep the implementation of "tree position" entirely opaque.
The latter is mandatory in the use case here, since we must not intermingle
the algorithm to resolve UI-coordinates in any way with the code actually
navigating and accessing GTK widgets. Thus, we're forced to build some kind
of abstraction barrier, and this turns out to be surprisingly difficult.
...which was deliberately represented in an asymmetric way, to verify the
design's ability to cope with such implementation intricacies. So basically
we have to kick in at LEVEL == 1 and access the implementation differently.
This exercise just shows again, that treating tree structures recursively
is the way to go, and we should do similar when coding up the query-API
for the real GTK toolkit based window elements...
