...it should have been explicit from start, since there is no point
in converting an EntryID into a plain flat string without further notice
this became evident, when the compiler picked the string overload on
MakeRec().genNode(specialID)
...which is in compliance to the rules, since string is a direct match,
while BareEntryID would be an (slicing) upcast. However, obviously we
want the BareEntryID here, and not an implicit string conversion,
thereby discarding the special hash value hidden within the ID
...rather extend the "object builder" DSL notation to allow passing in a given EntryID literally.
Rationale is, we should handle the problem of unique IDs on the level of the domain model.
If we attempt to "fix" this within GenNode, the price would be to make the ETD creation stateful
seems to work surprisingly well...
the diff application poceeds in the GUI up to the point
where the TrackPresenter need to be inserted into a two-fold display context
As it turns out, using the functional-notation form conversion
with *parentheses* will fall back on a C-style (wild, re-interpret) cast
when the target type is *not* a class. As in the case in question here, where
it is a const& to a class. To the contrary, using *curly braces* will always
attempt to go through a constructor, and thus fail as expected, when there is
no conversion path available.
I wasn't aware of that pitfall. I noticed it since the recently introduced
class TimelineGui lacked a conversion operator to BareEntryID const& and just
happily used the TimelineGui object itself and did a reinterpret_cast into BareEntryID
...these magical strings are already spreading dangerously throughout the code base
PS: also fixup for c6b8811af0 (broken whitespace in test definition)
this initially (on 1.9.18) triggered this extended digression;
The initial naive implementation (without backtracking) did not allow
to express such a simple thing like "function XXX" not invoked (again) after "function XXX"
...seems basically sane now.
Just we still need to wrap it one more time into IterableDecorator;
which means the overall scheme how to build and package the whole pipeline
is not correct yet.
Maybe it is not possible to get it packaged all into one single class?
on closer investigation it turned out that the logic of the
first design attempt was broken altogether. It did not properly
support backtracking (which was the reason to start this whole
exercise) and it caused dangling references within the lambda
closure once the produced iterator pipeline was moved out
into the target location.
Reasoning from first principles then indicated that the only sane
way to build such a search evaluation component is to use *two*
closely collaborating layers. The actual filter configuration
and evaluation logic can not reside and work from within the
expander. Rather, it must sit in a layer on top and work in
a conventional, imperative way (with a while loop).
Sometimes, functional programming is *not* the natural way
of doing things, and we should then stop attempting to force
matters against their nature.
...and TADAA ... there we get an insidious bug:
we capture *this by reference into the expansion functor,
and then we move *this away, out from the builder into the target....
Up to now, we had a very simplistic configuration option just
to search for a match, and we had the complete full-blown reconfiguration
builder option, which accepts a functor to work on and reconfigure the
embedded Filter chain.
It occurred to me that in many cases you'd rather want some intermediary
level of flexibility: you want to replace the filter predicate entirely
by some explicitly given functor, yet you don't need the full ability
to re-shape the Filter chain as a whole. In fact the intended use case
for IterChainSearch (which is the EventLog I am about to augment with
backtracking capabilities) will only ever need that intermediate level.
Thus wer're adding this intermediary level of configurability now.
The only twist is that doing so requires us to pass an "arbitrary function like thing"
(captured by universal reference) through a "layer of lambdas". Which means,
we have to capture an "arbitrary thingie" by value.
Fortunately, as I just found out today, C++14 allows something which comes
close to that requirement: the value capture of a lambda is allowe to have
an intialiser. Which means, we can std::forward into the value captured
by the intermediary lambda. I just hope I never need to know or understand
the actual type this captured "value" takes on.... :-)
with the augmented TreeExplorer, we're now able to get rid of the
spurious base layer, and we're able to discard the filter and
continue with the unfiltered sequence starting from current position.
build a special feature into the Explorer component of TreeExplorer,
causing it to "lock into" the current child sequence and discard
all previous sequences from the stack of child explorations
So we have now a reworked version of the internals of TreeExplorer in place.
It should be easier to debug template instantation traces now, since most
of the redundancy on the type parameters could be remove. Moreover, existing
pipelines can now be re-assigned with similarily built pipelines in many cases,
since the concrete type of the functor is now erased.
The price tag for this refactoring is that we have now to perform a call
through a function pointer on each functor invocation (due to the type erasure).
And seemingly the bloat in the debugging information has been increased slightly
(this overhead is removed by stripping the binary)
...step by step switch over to the new usage pattern.
Transformer should be the blueprint for all other functor usages.
The reworked solutions behaves as expected;
we see two functor invocations; the outer functor, which does
the argument adaptation, is allocated in heap memory
...based on a monadic tree expansion: we define a single step,
which takes the current filter configuration and builds the next
filter configuration, based on a stored chain of configuration functions
The actual exhausting depth-first results just by the greedy application pattern,
and uses the stack embedded in the "Explorer" layer of TreeExplorer
..this resolves the most challenging part of the construction work;
we use the static helper functions to infer a type and construct a suitable
processing pipeline and we invoke the same helper to initialise the base class
in the ctor.
Incidentally... we can now drop all the placeholder stubs,
since we now inherit the full iterator and child explorer API.
The test now starts actually to work... we get spam and sausage!
TODO: now actually fill in the expand functor such as to pick the
concrete filter step in the chain from a sequence of preconfigured
filter bindings
...now matters start to get really nasty,
since we have to pick up an infered type from a partially built pipeline
and use it to construct the signature for a functor to bind into the more elaborate complete pipeline
this is a tricky undertaking, since our treeExplore() helper constructs
a complex wrapped type, depending on the actual builder expressions used.
Solution is to use decltype on the result of a helper function,
and let the _DecoratorTraits from TreeExplorer do the necessary type adaptations
...it should have been this way all the time.
Generic code might otherwise be ill guided to assume a conversion
from the Iterator to its value type, while in fact an explicit dereferentiation is necessary
The intention is to augment the iterator based (linear) search
used in EventLog to allow for real backtracking, based on a evaluation tree.
This should be rather staight forward to implement, relying on the
exploreChildren() functionality of TreeExplorer. The trick is to package
the chained search step as a monadic flatMap operation
we did an unnecessary copy of the argument, which was uncovered
by the test case manipulating the state core.
Whew.
Now we have a beautiful new overengineered solution
outift the Filter base class with the most generic form of the Functor
wrapper, and rather wrap each functor argument individually. This allows
then to combine various kinds of functors
...this solution works, but has a shortcoming:
the type of the passed lambdas is effectively pinned to conform
with the signature of the first lambda used initially when building the filter.
Well, this is the standard use case, but it kind of turns all the
tricky warpping and re-binding into a nonsense excercise; in this form
the filter can only be used in the monadic case (value -> bool).
Especially this rules out all the advanced usages, where the filter
collaborates with the internals of the source.
while this is basically just code code cosmetics,
at least it marks this as a very distinct special case,
and keeps the API for the standard Filter layer clean.
a quite convoluted construct built from several nested generic lambdas.
When investigated in the debugger, the observed addresses and the
invoked code looks sane and as expected.
The intention is to switch from the itertools-based filter
to the filter available in the TreeExplorer framework.
Thus "basically" we just need to copy the solution over,
since both are conceptually equivalent.
However...... :-(
The TreeExplorer framework is designed to be way more generic
and accepts basically everything as argument and tries to adapt apropriately.
This means we have to use a lot of intricate boilerplate code,
just to get the same effect that was possible in Itertools with
a simple and elegant in-place lambda assignment
Fillter needs to be re-evaluated, when an downstream entity requests
expandChildren() onto an upstream source. And obviously the ordering
of the chained calls was wrong here.
As it turns out, I had discovered that necessity to re-evaluate with
the Transformer layer. There is a dedicated test case for that, but
I cut short on verifying the filter in that situation as well, so
that piece of broken copy-n-paste code went through undetected.
This is in fact a rather esoteric corner case, because it is only
triggered when the expandChildren() call is passed through the filter.
When otoh the filter sits /after/ the entity generating the expandChildren()
calls, everything works as intended. And the latter is the typical standard
usage situation of an recursive evalutation algorithm: the filter is here
used as final part to drive the evaluation ahead and pick the solutions.
