*this is the source repo for RAPID(C) library (linux)

RAPID(C) source contains 2 main parts:

1. The C++ static library being used later to instrument applications [RAPID(C)_root]

2. The Python script to run the training [RAPID(C)_root/modelConstr/source]

The python script does not need to be installed, python interpreter (2.7) will be enough

Steps to build the C++ library:

1. install necessary libs:

$ sudo apt-get install libcurl-dev

2. make sure the path to libcurl is updated in Makefile

3. make

$ make

The output should contain a static library, rsdg.a

Please refer to the IO page for this project to learn how to use RAPID(C) to write your own approximate applications.