* 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“
The second design from 2017, based on a pipeline builder,
is now renamed `TreeExplorer` ⟼ `IterExplorer` and uses
the memorable entrance point `lib::explore(<seq>)`
✔
...as a preparation for solving a logical problem with the Planning-Pipeline;
it can not quite work as intended just by passing down the pair of
current ticket and dependent ticket, since we have to calculate a chained
calculation of job deadlines, leading up to the root ticket for a frame.
My solution idea is to create the JobPlanning earlier in the pipeline,
already *before* the expansion of prerequisites, and rather to integrate
the representation of the dependency relation direcly into JobPlanning
...using hard coded values instead of observation of actual runtimes,
but at least the calculation scheme (now relocated from TimeAnchor to JobPlanning)
should be a reasonable starting point.
TODO: test fails...
The initial implementation effort for Player and Job-Planning
has been reviewed and largely reworked, and some parts are now
obsoleted by the reworked alternative and can be disabled.
The basic idea will be retained though: JobPlanning is a
data aggregator and performs the final step of creating a Job
- fix a bug in the MockDispatcher, when duplicating the ExitNodes.
A vector-ctor with curly braces will be interpreted as std::initializer_list
- add visualisation of the contents appearing at the end of the pipeline
*** something still broken here, increments don't happen as expected
`steam/engine/mock-dispatcher.hpp |cpp` now integrates this
''complete mock setup for render jobs and frame dispatching.''
The exising `DummyJob` has been slightly adapted and renamed
to `MockJob` and is tightly integrated with the other mocks.
The implementation of a `MockDispatcher` necessitated to change
the use of `MockJobTicket`. The initial attempts used a complete
mock implementation, but this approach turned out not to be viable.
Instead — based on the ideas developed for the mock setup —
now the prospective real implementation of `JobTicket` is available
and will be used by the mock setup too. Instead of a synthetic spec,
now a setup of recursively connected `ExitNode`(s) is used; the latter
seems to develop into some kind of Facade for the render node network.
Based on this mock setup, we can now demonstrate the (mostly) complete
Job-Planning pipeline, starting from a segmentation up to render jobs,
and verify proper connectivity and job invocation.
✔
Up to now, a draft/mock implementation was used, relying on a »spec tuple«,
which was fabricated by MockJobTicket. But with the introduction of
NodeGraphAttachment, the MockSequence now generates a nested ExitNode structure,
and thus the JobTicket will be created through the "real" ctor, and
no longer via MockJobTicket.
Thus it is possible to skip this whole interspersed »spec tuple«,
since ExitNode *is* already this aggregated / abstracted Spec
PROBLEM: can not implement Spec-generation, since
- we must use a λ for internal allocation of JobTickets
- but recursive type inference is not possible
Will thus need to abandon the Spec-Tuple and relocate this
traversal-and-generation code into JobTicket itself
The prototypical setup of data structures and test support components
is largely complete by now — with the exception of the `MockDispatcher`,
which will be completed while moving to the next steps pertaining the
setup of a frame dispatch pipeline.
* the existing `DummyJob` was augmented to allow verification of
association between Job and `JobTicket`
* the existing implementation of `JobTicket` was verified and augmented
to allow coverage of the whole usage cycle
* a `MockJobTicket` was implemented on top, which can be generated
from a symbolical test specification (rather than from the real
Fixture data structure)
* a complete `MockSegmentation` was developed, allowing to establish
all the aforementioned data structures without an actual backing
Render Engine. Moreover, `MockSegmentation` can be generated
from the aforementioned symbolic test specification.
* as part of this work, an algorithm to split an existing Segmentation
and to splice in new segments was developed and verified
Last testcase: add deeply nested Prerequisites.
Turns out that the allocator must be able to handle
re-entrant allocations, which std::deque can not fulfil.
Thus using std::list here for the Mock implementation.
In the end, the real allocations will be done by our custom
allocator (AllocationCluster), which can be arranged easily
to support re-entrant allocation calls (since the whole point
is to just place those objects into a pre-allocated large block
and only de-allocate them later in one sway. Thus the allocator
does not need to wait for the object constructor to finish, which
trivially allows for re-entrant calls)
...which uncovers further deeply nested problems,
especially when referring to non-copyable types.
Thus need to construct a common type that can be used
both to refer to the source elements and the expanded elements,
and use this common type as result type and also attempt to
produce better diagnostic messages on type mismatch....
To complete the mock setup, the next step would be to extend the GenNode-based spec langage
to allow defining prerequisite Mock-JobTickets. Setting this up seems rather straight forward --
however, defining a simple testcase to cover this extension runs into surprisingly tricky problems..
- for one, the singleValIterator from Itertools has serious difficulties handling references
- but even more surprising, it seems impossible to make the "prerequisites iterator"
fit into the Tree-Explorer framework (which I intend to use as replacement
for the monadic approach)
after some extended analysis of generic types and template instances,
it seems that not TreeExplorer as such is the primary problem, but rather
there is a conceptual mismatch somewhere deep down in Itertools or Iter-Adapter
By reasoning and analysis I conclude that the differentiation into
multiple channels is likely misplaced in JobTicket; it belongs ratther
into the Segment and should provide a suitable JobTicket for each ModelPort
Handling of prerequisites also needs to be reshaped entirely after
switching to a pipeline builder for the Job-planning pipeline; as
preliminary access point, just add an iterator over the immediate
prerequisites, thereby shifting the exploration mechanism entirely
out of the JobTicket implementation
Testcase: A simple Sementation with a single and bounded Segment
As aside, figured out how to unpack an iterator such as to
tie a fixed number of references through a structural binding:
auto const& [s1,s2,s3] = seqTuple<3> (mockSegs.eachSeg());
...now able to build a mock segmentation which issues dummy jobs,
and is wired such as to verify the right job is invoked for each segment.
And this allows to build and verify the Dispatcher,
without being able to invoke actual render jobs yet.
- how to pass-in a specification given as GenNode
- now this might be translated into a MockJobTicket allocated in the MockSegmentation
Unimplemented: actually build the Segment with suitable start/end time
right now we're lacking a complete working implementation of render node invocation,
and thus the Dispatcher implementation can only be verified with the help
of mocked jobs. However, at least a preliminary implementation of tagging the
invocation instance is available, and thus we're able to verify that
a given job instance indeed belongs to and is "backed" by a specific JobTicket.
This is prerequisite for building up a (likewise mocked) Fixture datastructure,
and this in turn was meant to form the basis for attacking an actual Scheduler
implementation, followed by a real render node invocation.
- can now create a Job from JobTicket::NIL
- on invocation this Job will to nothing
Only when the first real output backend is implemented,
we can decide if this simplistic implementation is enough,
or if an empty output must be explicitly generated...
...using the MockJobTicket setup as point of reference,
since the actual invocation of render nodes will only be drafted
later in this "Vertical Slice" integration effort...
- introduce a JobTicket::NOP (null-object pattern)
- assuming that the function splitSplice() will retain complete coverage allways
Remark:
`Fixture::getPlaylistForRender()` is a leftover from the very early implementation drafts.
This function was more or less based on the way Cinelerra works; it is clear by now
that Lumiera can not possibly work this way, given that we'll build a low-level model
and dispatch precompiled render jobs....
