Slight changes to internal constructors (‘SEXP’ and function) to
follow the same style as ‘cpp11’.
cpp4r 1.0.0
Full detailed documentation.
Added over 400 units tests to cover different usual cases and corner
cases.
Tested via Docker on all CRAN supported Linux platforms with
additional Mac/Windows testing via GitHub Actions.
cpp4r 0.7.0
I re-added some conditionals to use newer C++ features when the
compiler supports them. These can add a small speed gain in some
cases.
The codebase default is C++11, with compile time newer standards
detection to use newer features and optimizations.
Adds a check for all supported C++ standards in R >= 4.0.0 (>=
CXX17).
Replaces ‘testthat’ with ‘tinytest’ after I detected an
incompatibility with C++23.
cpp4r 0.6.0
register() now captures the C++ namespace of decorated
functions and emits fully-qualified declarations and calls, so functions
defined inside a namespace { ... } block (or written as
ns::fun) can be registered without further setup.
Removed the run-time dependency on the decor,
tibble, and vctrs packages; the small subset
of helpers that register() relies on is now bundled
internally and uses base data.frame.
Adds fast paths that provide slight speed improvements (e.g.,
avoiding branching)
Follows, to the best possible extent, the R’s C API description from
https://github.com/hadley/r-internals.
Slightly expanded cpp4r::function.
Fixed two empty tests.
cpp4r 0.5.1
Luke Tierney pointed out a similar change as in v0.5.0 to add to
function.hpp.
cpp4r 0.5.0
Avoids non-API methods when handling data frames (thanks to Luke
Tierney for reporting this)
cpp4r 0.4.0
Clearer documentation about the C++ workflow (i.e., how to use
anticonf to specify a C++ standard)
Allows for default values like my_fun(int x = 100) to
call my_fun() with the same result as
my_fun(100L) from R
cpp4r 0.3.1
Added support for implicit conversions for R lists
cpp4r 0.3.0
This is the first release on CRAN
Added as_logicals() and as_strings() in
the same style of as_doubles() and
as_integers()
Improved memory management for r_vector iterators
Slightly faster than cpp11
vendor() and unvendor() use
path = NULL as default to adhere to CRAN policies.
cpp4r 0.2.0
Reduced dependencies on R side
The vignettes are rendered only for the package site to keep the
CRAN build minimal