The old implementation relied on two layered APIs:
one for the client and one for the implementer of
the Allocation state. This is logically sound, yet
clumsy in terms of design, since the internal API
turns out to be void of actual meaning.
It seems possible to eliminate this confusing structure
by a clear separation of ''implementation realms''
* the ''mechanics'' of connection state management
* the actual implementation of the connection
The first can be provided as generic template subclass,
while the latter should be confined entirely into the
implementation of the `Connection` interface.
Doing so requires to keep each part of the implementation
strictly focused onto its purpose — something I obviously
was not able to see at the time when writing this old
implementation, notably because I was completely guided
and driven by the test/dummy implementation without
considering how an actual implementation of
low-level data output would work.
These are generic vehicles to verify computation structures.
Since they are in no way related to our models, they belong into »Vault« layer
Furthermore this reorganisation of test support components is prerequisite
to also move further generic facilities down into the Vault
This resolves a long-standing issue:
we could not use proper include paths for test-helper code that was defined alongside the tests.
Since some test-helper code must now be relocated into the »Vault«-Layer,
I took the opportunity to finally resolve this annoyance. The solution is two-fold
* introduce a dedicated test-support library
* remove the quirks that were necessary to support some plain-C tests
Together, this allows to raise the include-directory by one level,
and then to adjust all folder names so that they match the namespace
the buildsystem will now pick up and link
all test cases according to the layer, e.g.
backend tests will automatically be linked
against the backend + library solely.
tests used to be defined ad hoc and test definitions
are scattered confusingly over various directories.
Now built some simple rules into the buildsystem
to allow organising the tests into layers and
linking them accordingly.
Note: this switches to building shared objects
for the test classes too, which effectively speeds up
both re-building and re-running of test cases
This template was a leftover from the early days
of Lumiera development and doesn't provide any
substantial value as an abstraction.
For the more intricate cases, we're using the
lib::MultiFact template, which allows to install
several "fabrication" functions at runtime
brainstorming how to implement the job planning stage
the idea is to built on top of the IterExplorer,
but have the "stack" of re-evaluation integrated
into a custom type, which exploits the static
node network structure to avoid heap allocations
solution idea: again use a builder function?
this enables expansion of a (functional) data structure
until exhaustion -- which is what we need to
build job functors by traversing and expanding
an arbitrarily nested job definition structure
the intention is to use this to simplify
generating render jobs based on the elaborated
dependency network of the render nodes. The key
challenge is to overcome the necessity to
store partially done evaluations as
continuation
the tricky part seems to be how to combine the
source iterators into a new monad instance, while
keeping this "Combinator" Strategy configurable
...just passes the compiler, while still lacking
even the generic implementation of joining
together the source iterators
The idea is to avoid building a data structure
for intermediary results, while still being able
to process a variably sized and arbitrary shaped
set of source data
implemented as extension to the linear combinations.
I decided to use the same "always floor" rule
as employed for time quantisation. Moreover,
we don't support floating point, only rationals
funny enough this possible memory corruption
didn't happen in the unit test, because my
compiler optimised the additional int field
of class SubDummy, making it the same size
of the baseclass. Now matters should be safe.
this turns out to be the typical usage scenario
for ScopedCollection: a manager object owning
the collection will populate it with specially
crafted components and invoke a member function
for creating the individual components.
This shortcut avoids using tr1::bind alltogether
