* Add $YARP_SERIALIZE_ONLY_SEMANTICS_FIELDS to control where to serialize location fields at templating time,
this way there is no overhead for either case and nothing to check at runtime.
* Add a byte in the header to indicate whether location fields are included as expected.
* Fixes https://github.com/ruby/yarp/issues/807
* Simplify the build-java CI job now that the FFI backend is available so JRuby can serialize.
* Support keeping some location fields which are still needed until there is a replacement
https://github.com/ruby/yarp/commit/fc5cf2df12
Introduce Universal Parser mode for the parser.
This commit includes these changes:
* Introduce `UNIVERSAL_PARSER` macro. All of CRuby related functions
are passed via `struct rb_parser_config_struct` when this macro is enabled.
* Add CI task with 'cppflags=-DUNIVERSAL_PARSER' for ubuntu.
They are needed very often but it's hard to remember. I thought it'd be
useful to just copy that to /.vscode and edit that.
Usage:
cp -r misc/.vscode .vscode
Don't symlink it because you'd edit it but not want to commit it.
* YJIT: Show --yjit-stats of railsbench on CI
* YJIT: Use --enable-yjit=dev to see ratio_in_yjit
* YJIT: Show master GitHub URL for quick comparison
* YJIT: Avoid making CI red by a yjit-bench failure
`lldb_cruby.py` manages lldb custom commands using functions. The file
is a large list of Python functions, and an init handler to map some of
the Python functions into the debugger, to enable execution of custom
logic during a debugging session.
Since LLDB 3.7 (September 2015) there has also been support for using
python classes rather than bare functions, as long as those classes
implement a specific interface.
This PR Introduces some more defined structure to the LLDB helper
functions by switching from the function based implementation to the
class based one, and providing an auto-loading mechanism by which new
functions can be loaded.
The intention behind this change is to make working with the LLDB
helpers easier, by reducing code duplication, providing a consistent
structure and a clearer API for developers.
The current function based approach has some advantages and
disadvantages
Advantages:
- Adding new code is easy.
- All the code is self contained and searchable.
Disadvantages:
- No visible organisation of the file contents. This means
- Hard to tell which functions are utility functions and which are
available to you in a debugging session
- Lots of code duplication within lldb functions
- Large files quickly become intimidating to work with - for example,
`lldb_disasm.py` was implemented as a seperate Python module because
it was easier to start with a clean slate than add significant amounts
of code to `lldb_cruby.py`
This PR attempts, to fix the disadvantages of the current approach and
maintain, or enhance, the benefits. The new structure of a command looks
like this;
```
class TestCommand(RbBaseCommand):
# program is the keyword the user will type in lldb to execute this command
program = "test"
# help_string will be displayed in lldb when the user uses the help functions
help_string = "This is a test command to show how to implement lldb commands"
# call is where our command logic will be implemented
def call(self, debugger, command, exe_ctx, result):
pass
```
If the command fulfils the following criteria it will then be
auto-loaded when an lldb session is started:
- The package file must exist inside the `commands` directory and the
filename must end in `_command.py`
- The package must implement a class whose name ends in `Command`
- The class inherits from `RbBaseCommand` or at minimum a class that
shares the same interface as `RbBaseCommand` (at minimum this means
defining `__init__` and `__call__`, and using `__call__` to call
`call` which is defined in the subclasses).
- The class must have a class variable `package` that is a String. This
is the name of the command you'll call in the `lldb` debugger.
Kevin Newton
Hiroshi SHIBATA
Takashi Kokubun
Peter Zhu
Benoit Daloze
yui-knk
Jean Boussier
Nobuyoshi Nakada
Matt Valentine-House
Yuta Saito
Aaron Patterson
Jose Narvaez
Maxime Chevalier-Boisvert
Alan Wu
David Rodríguez
Yuichiro Kaneko
Samuel Williams