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2018-08-11Not using random distribution in demonstration plotMohammad Akhlaghi-2/+2
Different implementations of AWK may use different random number generators, so even setting the seed will not ensure a reproducible result. Because of this, the random plot may be different when the pipeline runs on different systems and this can confuse early users (its contrary to the exact reproducibility that is the whole purpose of this pipeline). The plot is just a simple X^2 plot, showing the squared value of the X axis on the Y axis. It is very simple, but atleast it will be identical on all systems. Also, there may be too many complicated things in the pipeline already for an early user, and its just a demonstration, so the easier/simpler, the better.
2018-02-27Default PDF now uses PGFPlots and BibLaTeXMohammad Akhlaghi-0/+17
Making plots and including references are integral parts of a scientific paper. Therefore to demonstrate how cleanly they can be used within the pipeline, they are now used to produce the final PDF. To use PGFPlots a random dataset is made (using AWK's random function) and is plotted using PGFPlots. The minimum and maximum values of the dataset are also included in the text to further show how such calculations can go into the macros and text. For the references, the NoiseChisel paper was added as a reference to cite when using this pipeline along with the MUSE UDF paper I, which uses this pipeline for two sections. Following this discussion, citation is also discussed in `README.md` and the NoiseChisel paper is also added as a published work with a reproduction pipeline.