Use model::Function::Key for the Function rank instead of the naked
MetaAddress as it allows forward-compatibility if the model::Function
key is ever changed.
Use a std::tuple<uint64_t> for TypeField as it's the current type for
{Struct,Enum,Union}Field.key()
We need to prevent stub kinds used just to represent dead elements to be
displayed in the GUI and CL.
We do so by introducing a DeadKind which expands their targets to the
empty list.
This commit adds the newly implemented functionality in PipelineC both
in revng.api and the graphql api, allowing:
* retrieval of global variable names
* unwrapping of a single target
* execution of analyses
The copy of a TupleTree is potentially very expensive, so it was
disabled until now and only allowed via the explict method clone().
We have now decided to make TupleTree copiable.
This commit adds a copy-constructor and a copy-assignment, killing the
clone() method that was already unused and is now effectively useless.
In the future we will need to use GraphQL subscriptions. This is done
via websockets and is supported in Ariadne. However this support is
limited to ASGI frameworks, which Flask isn't a part of.
Startlette is a direct depencency of Ariadne, and all of Ariadne's
features are fully integrated with Starlette, so the switch allows to
drop some Flask integration cruft and streamline the revng.daemon
package.
Starlette does not have a built-in development server, instead
Hypercorn, which is an ASGI-compliant HTTP server, is used in place of
Flask's Werkzeug/Gunicorn for both the development and production
server roles.
Add additional field MIMEType to Container.
This allows API consumers to know at runtime how to treat the data
within a container without any prior knowledge.
Split the interface into two functions: `enforce.*` returning the map by
value and `tryApply.*` returning an `std::optional`.
Improve non-positional single deduction function to better reflect
some corner cases (for example how a required `NoOrDead` register
argument is handled).
Enforce a position-based deduction corner case where it's impossible to
deduce whether the argument is passed in the GPR or the vector one -
now GPR takes precedence in those cases.