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In order to collaborate effectively in the project, even project members
that don't necessarily want (or have the capacity) to do the whole analysis
must be able to contribute to the project. Until now, the users of the
distributed tarball could only modify the text and not the figures (built
with PGFPlots) of the paper.
With this commit, the management of TeX source files in the pipeline was
slightly modified to allow this as cleanly as I could think of now! In
short, the hand-written TeX files are now kept in `tex/src' and for the
pipeline's generated TeX files (in particular the old `tex/pipeline.tex'),
we now have a `tex/pipeline' symbolic-link/directory that points to the
`tex' directory under the build directory.
When packaging the project, `tex/pipeline' will be a full directory with a
copy of all the necessary files. Therefore as far as LaTeX is concerned,
having a build-directory is no longer relevant. Many other small changes
were made to do this job cleanly which will just make this commit message
too long!
Also, the old `tarball' and `zip' targets are now `dist' and `dist-zip' (as
in the standard GNU Build system).
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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.
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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.
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