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Added support for Lua modules using lua_module() and
lua_import(). This simplifies the process of adding Lua
code to your R package, which is now explained in a new vignette. This
addresses issue #4. Thanks
to @al-obrien for
asking about this!
Added a speed comparison for luajr / Lua versus Rcpp / C++.
lua_func() can now accept an external pointer to a
Lua function.
Added debugging and profiling for Lua code. The debugger is Scott
Lembcke’s debugger.lua, and the profiler is LuaJIT’s built-in sampling
profiler. Also added the option of turning off JIT compilation. This is
all accessed through a new function, lua_mode().
Added further code to ensure that LuaJIT never calls
exit() directly and never tries to read from or write to
standard input or output streams, instead redirecting this to the R
console.
The Lua “io” library is now capable of getting input from the R
console (e.g. with io.read()) – previously, trying this
would cause R to hang (at least from RStudio).
The Lua os.exit() function now ends Lua execution
without crashing RStudio.
lua_shell() now stores commands in the R console
history.
The luajr build process now skips making libluajit.so and the luajit executable, as these are not needed for luajr.
Corrected an oversight in the documentation for
lua_shell(); this fixes issue #3. Thanks
to @SugarRayLua
for bringing my attention to this!
Addressed some further issues turned up by CRAN checks.
Added support for passing the R type “raw” to Lua, as a string potentially with embedded nulls, and for returning strings with embedded nulls from Lua, which become “raw”s in R.
Replaced calls to Rf_allocVector3 with calls to
Rf_allocVector, as the former is apparently not part of the
API allowed in CRAN packages, as requested by CRAN.
@TimTaylor improved the R version of the “logistic map” example and benchmark in the main luajr vignette, so that now the R version is only 10x slower than the Lua version, not 2,500x slower. This fixes issue #2. Thanks Tim!
Removed a compiler flag, -Wformat, that was causing
errors with some standard R environments, most notably the
rocker/r-base Docker environment. This fixes issue #1. Thanks
@jonocarroll for
reporting and helping to fix luajr’s first official bug! :-)
luajr.NULL, to allow working with NULL in
Lua.luajr Lua module.lua_parallel() for basic multithreading.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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