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In most analysis situations (except for simulations), an input dataset is
necessary, but that part of the pipeline was just left out and a general
`SURVEY' variable was set and never used. So with this commit, we actually
use a sample FITS file from the FITS standard webpage, show it (as well as
its histogram) and do some basic calculations on it.
This preparation of the input datasets is done in a generic way to enable
easy addition of more datasets if necessary.
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The choice of whether or not to make a PDF is now also a local system
issue, not a general pipeline issue. So it has been put in the new
`LOCAL.mk.in' file which replaces the old `DIRECTORIES.mk.in'. All local
settings (things that when changed should not be version-controlled) should
be defined in this file.
A sanity check was added to find if `./configure' has been run before
`make' or not (using the `LOCAL.mk' file which is an output of the
configuration step). If `LOCAL.mk' doesn't exist, an error will be printed
informing the user that `./configure' needs to be run first.
The configure script also provides more clear and hopefully better
information on its purpose and what must be done.
Since `make clean', it is executed even when `./configure' hasn't been run,
it will only delete the build directory and its contents when local
configuration has been done.
A `distclean' target was also added which will first "clean" the pipeline,
then delete the `LOCAL.mk.in' file.
To allow rules like `make' to be run even if `BDIR' isn't defined
(`./configure' hasn't been run yet), a fake `BDIR' is defined in such
cases.
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Let's start working on this pipeline independently with this first
commit. It is based on my previous experiences, but I had never made a
skeleton of a pipeline before, it was always within a working analysis.
But now that the pipeline has a separate repository for its self, we will
be able to work on it and use it as a base for future work and modify it to
make it even better. Hopefully in time (and with the help of others), it
will grow and become much more robust and useful.
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