Add the functionality the the pipeline infrastructure and CLI to run
individual pipe and analyses as subcommands instead of in-process. This
allow better debuggability of individual pipes.
In preparation for debugging individual pipes add an additional method
to the `Pipe` interface, `needed_files`, which allows the pipe to
statically report which files it will request ahead of time.
If a venv is running, the `revng` script should re-exec to allow the
correct modules to be loaded and allow running the `main` function of
the respective modules.
Improve the handling of signals by leveraging the `Py_AtExit`
functionality to trigger cleanup when the interpreter exits.
When receiving SIGINT handle it specially because exceptions in python
are only thrown when the interpreter is running and not when C code is.
Convert the `RuntimeError`s emitted by the pipebox (e.g. when checking
preconditions or running analyses) into `PypelineError`s and have the
pypeline cli infrastructure handle them gracefully, without emitting
stacktraces.
Add infrastructure to pypeline that allows containers to be notified
when they are being used last, this allows two things:
* `Pipe`s eagerly clearing those containers once they are done reading
their contents
* `ScheduledTask`s clearing those out at the end of their execution in
case the pipe did not do it
This overall should improve memory usage as container no longer take up
memory if they are no longer used as part of a `Schedule`.
Fix the behavior of binary importers by propagating the path of the
input binary from revng2 downwards, allowing finding `.debug` files in
the correct paths.
Inline the body of `PipelineNode.run` into `ScheduledTask.run`, making
`PipelineNode` a pure data structure. This also allows eliding all the
arguments since all of them as properties of `ScheduledTask`.
Add a new option to the mass-testing `meta.yml` that allows skipping
some paths when generating the flamegraph. In the case of revng this
allows skipping the intermediate python frames.
The function `Request.check` did not work properly due to
`Container.contains_all` performing the check with the operands swapped.
Fix the call and improve the body of `ObjectSet.issubset`.
Also improve the error message, highlighting the missing objects.
When setting the variable names for the analysis' configuration,
sanitize the analysis' name, as it might contain dashes and other
undesirable characters.
When running `invalidate`, use a temporary table to store the
invalidated model paths that need to be used. This saves to template
them into the query and allows them to be recycled later when the
`dependency` table needs to be cleaned up.
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