The shared s0 state in a DFA was deleted when setting a new one (from the DFA entries possibly). That could led to a situation where a valid reference was deleted, even though it's still needed.
Additionally fixed some formattings and updated the XCode projects in the demo.
The import and export declspecs were wrong and lead to missing symbols when using static class members.
Additionally I added a VS2015 solution for the demo, updated the generation script to use the new ANTLR4 jar and fixed a warning.
- Mutexes have been consolidated. Instead of one per DFA (which can easily get to hundreds of them) we only have one mutex in the Recognizer class and all other parties use this for serialization. It's only about protected the DFA anyway, which is stored in a recognizer (lexer/parser).
- ATNState::getStateType() returns a size_t value now (actually an enum).
- Replaced checks via RTTI for transitions by the (serialization) type of the transition, for simplicity.
- Added some missing initialization for fields in certain ATN state classes.
- Fixed mem leak in DFA by shadowing the s0 field. That way still have a ref to the self created instance, even is s0 was replaced later.
- Added variable init in code generation for a rule context declaration (e.g. for labels).
There are 2 parts in an ANTLR genrated parser where memory is allocated: the actual parsing (with or w/o creating a parse tree) and the prediction part (via DFA/ATN etc.). The first part is highly volatile as it recreates parse tree instances (the class) on each parser run. In fact also lexer tokens belong to that part, but are already managed via unique pointers. This first part works without any smart pointer now. Instead there is a simple tracker class which holds all created references and frees them when the parser is reset or destroyed. This is a bit less optimal if the parser is set to create no parse tree, as created rule context objects are not freed immediately (like with smart pointers), but during reset. On the other hand this change gives (depending on the input) a nice speed up (0%-100%, after the warm up phase). Additionally memory consumption drops by a good amount.
Everything in the simulartors (and interpreters) remains unchanged. This is the shared prediction part.
- Recommended project updates from XCode 8 applied.
- Bug: ANTLRInputStream not fully initialized when constructing from a stream.
- Account for more than one temporary error token in DefaultErrorStrategy.
- Added new rule to test grammar to get code generation for wildcard capture.
- Updated the Cpp.stg template file for that.
- Made the Unicode hack (auto extend 0xFFFF to 0x10FFFF) dependent on a parameter, so we only use this hack when deserializing an ATN. This avoids trouble with intervals used in other contexts (like string offsets).
- Added a few operator != overloads, to fix compilation after recent changes.
- Simplified operands comparison in SemanticContext (uses the Arrays class now). Some cleanup in that class too.
- The abstract parse tree visitor now uses const& for Any references, to avoid reallocating new instances over and over again.
- The lexer counts syntax errors the same way as the parser does. So we can directly determine if there was any error by simply examining that (which avoids having to use a temporary listener).
- Only require JRE
- Support out of tree build from antlr repostitory
- Support Superproject build with ExternalAntlr4Cpp cmake module
ExternalAntlr4Cpp module has quickstart documentation for people to be
able to start working quicly with antlr4cpp from the base demo sources
see source file for example.
- Created deployment script for Windows + updated doc/releasing-antlr.md.
- Created projects for both VS2013 and VS2015 to be used by the deployment script.
- Fixed trouble with a bug in VS2015 where std::codecvt_utf8<char32_t> is not properly supported.
- Fixed a few #include paths + a number of warnings.
- Settled on a final library name scheme: base part is "libantlr4-runtime" on MacOS + Linux. The extension determines the type (.a static lib, .dylib dynamic lib in MacOS, .so dynamic lib in Linux). No more mention of target language (cpp) or type (static) in the lib name. On Windows we omit the lib prefix, so the name becomes: antlr4-runtime.dll + antlr4-runtime.lib. We may later want to add version information there, but doing that automatically is difficult.
- Updated XCode project and CMakeLists.txt file for the new naming scheme.
- Added deployment scripts for source code (for Linux + iOS) and MacOS.
- Added C++ section in docs/releasing-antlr.md.
- Changed namespace chain (org::antlr::v4::runtime) to just antlr4 in all files.
- Fixed runtime tests for that.
- Added conversion of the xpath code, which compiles now (no tests, tho, as there are runtime tests for it).
- Removed TestRig stuff. That doesn't work in C++.
- A few remaining changes had to be done for the C++ runtime tests which now completely pass.
- Added a runtime testing overview document.
- Added a description of C++ target.
- Updated the ANTLR release document.
In order to ease including the antlr runtime in other projects the include structure has been changed:
- Removed precompiled header usage (only OSX, VS + cmake still need updates).
- Created umbrella header antlr4-runtime.h that contains everything needed in a target application.
- Changed all includes to use relative paths, so it is enough to add the src folder to the header search path in an application.
- Also fixed a smaller issue in the C++ template wrt the serialized ATN storage for large grammars.