<strong>Supplementary Material for the paper On Testing of Samplers (NeuRIPS'2020 Paper ID:5110)</strong> Barbarik2 is a framework developed to test whether a sampler is epsilon-close or eta-far from a given distribution with confidence greater than 1-delta. In this repository, we have included the code for Barbarik2 and the set of benchmarks and samplers we have tested on. To run Barbarik2 please unzip the repository and follow the instructions given in the README.md. <br>