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rfd-discovery is a tool written in Python and Cython using the Scipy stack. This project deals with the discovery of Relaxed Functional Dependencies(RFDs) using a bottom-up approach: instead of giving a fixed threshold on input and finding all the RFDs, this method infers distances from different RHS attributes by itself and then discovers the RFDs for these ones. The program package escript has been designed for solving mathematical modeling problems using python, see Gross et al. (2013). Its development and maintenance has been funded by the Australian Commonwealth to provide open source software infrastructure for the Australian Earth Science community (recent funding by the Australian Geophysical ... The shell script prepareMSRCDemo.sh or Python script prepareMSRCDemo.py in the project directory will download and prepare the data for exprimenting with the 21-class MSRC dataset. The shell script assumes that you have utilities wget , unzip , and convert installed on your system.