Python package

master: testing:

The idea is to have more consistency of vocabulary in interoperability glue code, using template-only C++, also avoiding code duplications across several projects I have (and others have, hopefully).

The code design also captures material that evolved over the years to prevent some "gotchas" one can get into when diving deep in native interop accross compilation modules.

This repository started as a repository for material limited to C to R interop via Rcpp, hence the name.

The C++ header files cover interop for:

• common base types (characters, numeric, and vectors thereof)
• boost date-time
• time series (inherited from its usage in time step modelling systems)

The repo also includes an R package cinterop that helps handling consistently (including memory management...) some of the data stemming from the C/C++ glue code. It is expected to host a python package sometime, possibly Matlab material too.

For instance this library defines a template function to_custom_character_vector to convert C char** types to something useful for the higher level language at hand.

namespace cinterop
{
    namespace utils
	{
        template<typename T>
		T to_custom_character_vector(char** names, int size, bool cleanup);

One specialization of this is a conversion to Rcpp's CharacterVector type for interop with R, which would be used like this:

int size;
char** values = GetEnsembleDatasetDataIdentifiers(dataLibrary->get(),  &size);
CharacterVector cv = to_custom_character_vector<CharacterVector>(values, size, true);

• native interop glue code generation
• An R package pupetting the former - I have yet to open source it though.