- integrate the concept definition into tuple-helper.hpp
- use it to replace the `is_Structured` traits check
- do not need `enable_if_TupleProtocol` any more
Integrate test coverage of the concept metafunctions
and the generalised get accessor
''This changeset was made at LAC 2025 in Lyon, France''
...to rely on the new formulation and the extended template `WithIdxSeq`
This is in preparation to use this new iteration scheme also from the tuple_like concept
This resolves an intricate problem related to metaprogramming with
variadic templates and function signatures. Due to exceptional complexity,
a direct solution was blocked for several years, and required a better
organisation of the support code involved; several workarounds were
developed, gradually leading to a transition path, which could now
be completed in an focused clean-up effort over the last week.
Metaprogramming with sequences of types is organised into three layers:
- simple tasks can be solved with the standard facilities of the language,
using pattern match with variadic template specialisations
- the ''type-sequence'' construct `Types<T...>` takes the centre stage
for the explicit definition of collections of types; it can be re-bound
to other variadic templates and supports simple direct manipulation
- for more elaborate and advanced processing tasks, a ''Loki-style type list''
can be obtained from a type-sequence, allowing to perform recursive
list processing task with a technique similar to LISP.
after all the relevant library components do support both kinds of
type sequences transparently, any usages in core code can now be
switched over to the new, variadic type sequences.
A very performance relevant shortcoming of the existing implementation
of partial function closure is that the result is always wrapped into a
std::function, which typically causes a heap allocation when more than
a single pre-bound argument must be stored — which is annoying,
since the underlying Binder provides inline storage and thus
could be handled directly as a value object.
However, returning the Binder directly is also problematic, since
this object is outfitted with several overloaded function call operators,
which defeats most techniques to detect a function signature. Notably,
relevant down-stream metaprogramming code, like the tuple-closure used
in the `NodeBuilder` would break when being confronted directly with
a binder object.
An investigation shows that there is no direct remedy, short of
wrapping the binder into another functor. This can be accomplished
with a helper template, that generates a wrapper; however, this
wrapper builder must be supplied with explicit type information
regarding the function arguments (precisely because this type
signature can not be picked up from the Binder object itself)
This is a rather intricate and technical change, but allows in the end
to switch back all usages to a main implementation patch, which is now
based on `func::BindToArgument` — so this could become the final
implementation core and replace the old `PApply` template eventually...
Largely, these changes are related to allow for ''perfect forwarding''
of the functor and the argument values to be closed; these will be
copied into the ''Binder object'' created by `std::bind`.
Notably the `TupleConstructor` was changed to perfect-forward its »source«
into the specialised `ElmMapper`; this is possible since the latter
already receives a `SRC` template parameter, which can be supplied
with whatever base type the `std::forward` invocation will expose.
In the specialisation relevant here, template `PartiallyInitTuple`,
now an ''universal reference'' is stored and passed to `std::get`,
so that (depending on the input used), either a LValue or an
RValue reference is used for the extracted data elements.
After these changes, all existing usages of `applyFirst()` or `applyLast()`
can be replaced by this modernised implementation back-end, thus obsoleting
the various hard-coded workaround added during the last years.
A lot of repetitive, pre C++11 metaprogramming code can now be removed,
and several helper constructs, which were needed to handle generic
function application and passing a tuple of values to create a binder.
Note however, the highly complex and technical core of this header
still remains intact; which is to create a ''partial closure'' over
some arguments of a function, while keeping the remaining arguments
open as parameters for invocation.
TODO: Even in the remaining code there is a lot of redundancy
and helper construct which are no longer necessary
...because swapping in the new standards-based implementation
leads to compile failures on tests to cover out-of-bounds cases.
Under the (wrong) assumption, that some mistake must be hidden in
the Splice-metafunction, I first provided a complete test coverage;
while the actual problem was right below my nose, and quite obvious...
The old implementation, being based on a case distinction over the argument count,
simply was not able even to notice excess arguments; other the new implementation,
based on variadics and `std::apply`, which is fully generic and thus
passes excess arguments to `std::bind` when a position beyond the actual
argument list is specified to be closed.
The old behaviour was to silently ignore such an out-of-bounds spec,
and this can be reinstated by explicitly capping the prepared tuple
of binders and actual arguments passed to `std::bind`
Another question of course is, if being tolerant here is a good idea.
And beyond that, function-closure.hpp is still terrifyingly complex,
unorganised and use-case driven, to start with....
...can now be formulated in a single function,
based on the apply-to-λ technique invented by David Vandervoorde.
WARNING: the rewritten version of BindToArgument<...>::reduced()
does not compile in the out-of-bounds case, revealing a possibly
long standing defect in the typelist-metafunction Splice
This library header was developed at a time, where C++ had no built-in support
for so called "invokables"; `std::invoke` and `std::apply` were added much later;
So in that early version that was a significant technical hurdle to overcome.
seems like it might be possible to get rid of the TupleApplicator alltogether?
This is one of the most problematic headers, because it is highly complex
and comprises tightly interwoven definitions (in functional programming style),
which in turn are used deep within other features.
What concerns me is that this header is very much tangled
and pushes me (as the author) to my mental limits.
And on top of this comes that this code has to deal with intricate aspects
like perfect forwarding, and proper handling of binder instances and
function argument copying (which basically should be left to `std::bind`)
Fortunately, the changes ''for this specific topic'' are transparent:
Type sequences are not used on the API for function closure and composition,
but only as an internal tool to assemble argument tuples used for either
binding or invocation of the resulting (partially closed) function.
To bootstrap this tricky refactoring, initially a bridge definition
was used, with a variadic argument pack, but delegating to the old
non-variadic type sequence and from there further into LISP style
list processing of types and meta definitions, as pioneered by the
Loki libarary. Luimiera uses this technique since a long time to
perform the complex tasks sometimes required for code generation
and generic function and type adaptation.
with this changeset, a direct variadics based entrance into
type list processing is provided, so that the old definition
is now completely separate and can be removed eventually.
Most of the type-list and type-sequence related eccosystem can be
just switched over, after having added the conversion variants for
the new-style variadic type sequences
Again this was used as opportunity to improve readability of related tests
As expected, these work on the new-style variadic type sequences
equally well than on the old ones (tail-filled with `Nil` markers).
On that occasion, a complete makeover of the huge test case was carried out,
now relying on `ExpectString` instead of printing to STDOUT. This has the
benefit of showing the expectation immediately next to the code to be tested,
and thus makes it much easier to ''actually see'' how these meta-functions
operate on their parameters (which in fact are types in a type list)
- provide complete conversion paths old-style ⟷ new-style
- switch the basic tests to the new variadic sequences
- modernise the code; replace typedefs by `using`
- change some struct-style ''meta-functions'' into
constexpr or compile-time constants
Since I've convinced myself during the last years that this kind
of typelist programming is ''not a workaround'' — it is even
superior to pattern matching on variadics for certain kinds
of tasks — the empty struct defined as `NullType` got into
more widespread use as a marker type in the Lumiera code base.
It seems adequate though to give it a much more evocative name
Attempting to reduce the remaining pre-C++11 workarounds before upgrade to C++20...
As a first step: rename the old type-sequence implementation into `TyOLD`
to make it clearly distinguishable; a new variadic implementation `TySeq`
was already introduced as partial workaround, and the next steps
will be to switch over essential parts of the type-sequence library.
During the early stage of the Project, at some point I attempted
to »attack« the topic of Engine and Render Nodes following a ''top down path.''
This effort went into a dead end eventually — due to the total lack
of tangible reference points to relate to. However, the implementation
at that time prompted the development of several supporting facilities,
which remain relevant until today. And it resulted in a ''free wheeling''
compound of implementation structures, which could even be operated
through some highly convoluted unit test.
This piece of implementation code was valuable as starting point for th
»Playback Vertical Slice« in 2024 — resulting in a new design which was
''re-oriented'' towards a new degree of freedom (the »Domain Ontology«)
while handling the configuration and connectivity of Render Nodes in
a rather fixed and finite way. This new approach seems to be much more
successful, as we're now able to build, connect and invoke Render Nodes,
thereby mapping the processing through a functor binding into some
arbitrary, external processing function (which will later be supplied
by a media processing library — and thus be part of some »Domain Ontology«)
This is an advanced diagnostics added (presumably) with GCC-13
and attempts to protect against an insidious side-effect of ''overload resolution''
Basically C++ (like its ancestor C) is oriented towards direct linkage and adds
the OO-style dynamic dispatch (through virtual functions and a VTable)
only as an extension, which must be requested explicitly.
Thus the resolution of ''overloads'' (as opposed to ''overridden'' virtual functions)
always takes precedence and happens within the directly visible scope,
which can cause the compiler to perform an implicit conversion instead of
invoking a different virtual function, which is defined in a base class.
However, this diagnostics seems to be implemented in an overly zealous way:
The compiler warns at the time of the type instantiation, and even in cases
where it is effectively impossible to encounter this dangerous shadowing situation.
See https://gcc.gnu.org/bugzilla/show_bug.cgi?id=109740
This leads to several ill-guided warnings in the Lumiera code base, which unfortunately
can only be addressed by disabling this diagnostics for all usages of some header.
The reason is, we often generate chains of template instantiations driven by type lists,
and in such usage pattern, it is not even possible to bring all the other inherited overloads
into scope (with a using `BASE::func` clause), because such a specification would be ambiguous
and result in a real compile error, because even the interface is generated from a chain of mix-in templates
* now able to demonstrate close-front, close-back and close-argument
* can also apply the same cases to `std::array`, with input and
output type seamlessly adapted to `std::array`
With these additions, all conceivable cases are basically addressed.
Take this as opportunity to investigate how the existing implementation
transports values into the Binder, where they will be stored as data fields.
Notably the mechanism of the `TupleConstructor` / `ElmMapper` indeed
''essentially requires'' to pass the initialisers ''by-reference'',
because otherwise there would be limitations on possible mappings.
This implies that not much can be done for ''perfect forwarding'' of initialisers,
but at least the `BindToArgument` can be simplified to take the value directly.
...which should ''basically work,'' since `std::array` is ''»tuple-like«'' —
BUT unfortunately it has a quite distinct template signature which does not fit
into the generic scheme of a product type.
Obviously we'd need a partial specialisation, but even re-implementing this
turns out to be damn hard, because there is no way to generate a builder method
with a suitable explicit type signature directly, because such a builder would
need to accept precisely N arguments of same type. This leads to a different
solution approach: we can introduce an ''adapter type'', which will be layered
on top of `std::array` and just expose the proper type signature so that the
existing Implementation can handle the array, relying on the tuple-protocol.
__Note__: this changeset adds a convenient pretty-printer for `std::array`,
based on the same forward-declaration trick employed recently for `lib::Several`.
You need to include 'lib/format-util.hpp' to actually use it.
Tuples and the ''C++ tuple protocol'' build upon variadic arguments
and are thus rather tedious to handle, especially in this situation here,
where the argument can ''sometimes be a tuple...''
Several years ago I made the observation that processing by explicit ''type sequences''
(Loki-style) is much simpler to handle and easier to lift to a generic level of processing.
Thus I'll attempt now to extract the ''iteration and extraction part'' of the logic into a new helper.
`lib::meta::ElmTypes<TUP>` allows to process all ''tuple-like types'' and generic ''type sequences'' uniformely
and enables to use both styles interchangably (btw, it is quite common to ''abuse'' `std::tuple` as a type sequence).
With this helper, we can now
- build a ''type sequence'' from any ''tuple-like'' object (and vice-versa)
- re-bind (i.e. transfer the template parameters to another template)
- apply some wrapper
- create AND / OR evaluations over the types
This solution checks only the minimal precondition,
which is that a type supports `std::tuple_size<T>`.
A more complete implementation turns out to be surprisingly complex,
since a direct check likely requires compile-time reflection capabilities
at the level of at least C++23
- `std::tuple_element<i,T>` typically implements limits checks,
which interfere with the detection of empty structured types
- the situation regarding `std::get<i>()` is even more complicated,
since we might have to probe for ADL-based solutions, or member templates
The check for minimal necessary precondition however allows us to
single out std::tuple, std::array and our own structured types in
compilation branching, which suffices to fulfils actual needs.
This was a tough nut to crack, but recalling the actual usage situation was helpful
* the ''constructor type'' must be created / picked-up beforehand
* we are about to build a ''parameter-computation node''
* so this constructor presumably is passed to a type parameter of a specific weaving pattern
* the constructor must be invoked directly to drop-off the new data frame into the local scope
* it is preferable to attach it only in a second step to the existing HeteroData-Chain (residing in `TurnoutSystem`)
What would be ''desirable'' though is to have some additional safeguard in the type system
to prevent attaching the newly constructed block to a chain with a non-fitting layout,
i.e. the case when several constructors or types get mixed up (because without any further
safe-guard this would lead to uncoordinated out-of-bounds memory access)
I changed the rendering of unsigned types in diagnostic output
to use the short notation, e.g. `uint` instead of `unsigned int`.
This dramatically improves the legibility of verification strings.
Moreover, I took the opportunigy to look through the existing page
with codeing style guides to explicitly write down some conventions
formed over years of usage.
I did not just »make up« those light heartedly, rather these conventions
are the result of a craftsman's ''attentive observation and self-reflection.''
* Lumiera source code always was copyrighted by individual contributors
* there is no entity "Lumiera.org" which holds any copyrights
* Lumiera source code is provided under the GPL Version 2+
== Explanations ==
Lumiera as a whole is distributed under Copyleft, GNU General Public License Version 2 or above.
For this to become legally effective, the ''File COPYING in the root directory is sufficient.''
The licensing header in each file is not strictly necessary, yet considered good practice;
attaching a licence notice increases the likeliness that this information is retained
in case someone extracts individual code files. However, it is not by the presence of some
text, that legally binding licensing terms become effective; rather the fact matters that a
given piece of code was provably copyrighted and published under a license. Even reformatting
the code, renaming some variables or deleting parts of the code will not alter this legal
situation, but rather creates a derivative work, which is likewise covered by the GPL!
The most relevant information in the file header is the notice regarding the
time of the first individual copyright claim. By virtue of this initial copyright,
the first author is entitled to choose the terms of licensing. All further
modifications are permitted and covered by the License. The specific wording
or format of the copyright header is not legally relevant, as long as the
intention to publish under the GPL remains clear. The extended wording was
based on a recommendation by the FSF. It can be shortened, because the full terms
of the license are provided alongside the distribution, in the file COPYING.
* most usages are drop-in replacements
* occasionally the other convenience functions can be used
* verify call-paths from core code to identify usages
* ensure reseeding for all tests involving some kind of randomness...
__Note__: some tests were not yet converted,
since their usage of randomness is actually not thread-safe.
This problem existed previously, since also `rand()` is not thread safe,
albeit in most cases it is possible to ignore this problem, as
''garbled internal state'' is also somehow „random“
...to the base-class of all tests
* `seedRand()` shall be invoked by every test using randomisation
* it will draw a new seed for the implicit default-PRNG
* it will document this seed value
* but when a seed was given via cmdline, it will inject that instead
* `makeRandGen()` will create a new dedicated generator instance,
attached (by seeding) to the current default-PRNG
It is not clear yet how to pass the actual `SeedNucleus`, which
for obvious reasons must be maintained by the `test::Suite`
...these features are now used quite regularly,
and so a dedicated documentation test seems indicated.
Actually my intention is to add a tracking allocator to these test helpers
(and then to use that to verify the custom allocator usage of `lib::Several`)
In the Lumiera code base, we use C-String constants as unique error-IDs.
Basically this allows to create new unique error IDs anywhere in the code.
However, definition of such IDs in arbitrary namespaces tends to create
slight confusion and ambiguities, while maintaining the proper use statements
requires some manual work.
Thus I introduce a new **standard scheme**
* Error-IDs for widespread use shall be defined _exclusively_ into `namespace lumiera::error`
* The shorthand-Macro `LERR_()` can now be used to simplify inclusion and referral
* (for local or single-usage errors, a local or even hidden definition is OK)
Investigation in test setup reveals that the intended solution
for dynamic configuration of the RandomDraw can not possibly work.
The reason is: the processing function binds back into the object instance.
This implies that RandomDraw must be *non-copyable*.
So we have to go full circle.
We need a way to pass the current instance to the configuration function.
And the most obvious and clear way would be to pass it as function argument.
Which however requires to *partially apply* this function.
So -- again -- we have to resort to one of the functor utilities
written several years ago; and while doing so, we must modernise
these tools further, to support perfect forwarding and binding
of reference arguments.
...to bring it more in line with all the other calls dealing with Activity*
...allows also to harmonise the ActivityLang::dispatchChain()
...and to compose the calls in Scheduler directly
NOTE: there is a twist: our string-formatting helper did not render
custom string conversions for objects passed as pointer. This was a
long standing problem, caused by ambiguous templates overloads;
now I've attempted to solve it one level more down, in util::StringConv.
This solution may turn out brittle, since we need to exclude any direct
string conversion, most notably the ones for C-Strings (const char*)
In case this solution turns out unsustainable, please feel free
to revert this API change, and return to passing Activity& in λ-post,
because in the end this is cosmetics.
This, and the GUI thread prompted an further round of
design extensions and rework of the thread-wrapper.
Especially there is now support for self-managed threads,
which can be launched and operate completely detached from the
context used to start them. This resolves an occasional SEGFAULT
at shutdown. An alternative (admittedly much simpler) solution
would have been to create a fixed context in a static global
variable and to attach a regular thread wrapper from there,
managed through unique_ptr.
It seems obvious that the new solution is preferable,
since all the tricky technicalities are encapsulated now.
Add a complete demonstration for a setup akin to what we use
for the Session thread: a threaded component which manages itself
but also exposes an external interface, which is opened/closed alongside
...extract and improve the tuple-rewriting function
...improve instance tracking test dummy objects
...complete test coverage and verify proper memory handling
...turns out this is entirely generic and not tied to the context
within ActivityDetector, where it was first introduced to build a
mock functor to log all invocations.
Basically this meta-function generates a new instantiation of the
template X, using the variadic argument pack from template U<ARGS...>
The second design from 2017, based on a pipeline builder,
is now renamed `TreeExplorer` ⟼ `IterExplorer` and uses
the memorable entrance point `lib::explore(<seq>)`
✔
This is a subtle and far reaching fix, which hopefully removes
a roadblock regarding a Dispatcher pipeline: Our type rebinding
template used to pick up nested type definitions, especially
'value_type' and 'reference' from iterators and containers,
took an overly simplistic approach, which was then fixed
at various places driven by individual problems.
Now:
- value_type is conceptually the "thing" exposed by the iterator
- and pointers are treated as simple values, and no longer linked
to their pointee type; rather we handle the twist regarding
STL const_iterator direcly (it defines a non const value_type,
which is sensible from the STL point of view, but breaks our
generic iterator wrapping mechanism)
At that time, our home-made Tuple type was replaced by std::tuple,
and then the command framework was extended to also allow command invocation
with arguments packaged as lib::diff::Record<GenNode>
With changeset 0e10ef09ec
A rebinding from std::tuple<ARGS...> to Types<ARGS> was introduced,
but unfortunately this was patched-in on top of the existing Types<ARGS...>
just as a partial specialisation.
Doing it this way is especially silly, since now this rebinding also kicks
in when std::tuple appears as regular payload type within Types<....>
This is what happened here: We have a Lambda taking a std::tuple<int, int>
as argument, yet when extracting the argument type, this rebinding kicks in
and transforms this argument into Types<int, int>
Oh well.
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.
