The data is now stored at appropriate places and loaded in the
corresponding part of the code.
It is not used for any calculation yet.

Code compiles, but is not tested in any other way.

The parameters are taken from Sascha Brinkers presentation and should
match what is implemented in KKRhost.
The names are kept as close as possible to the inputcard keywords in
KKRhost, thus they might differ from what they are called in the
KKRhost code.

Added the parameters to datastructures/InputParamsNew.txt and
generated a new datastructures/InputParams_mod.F90 using
the generate.sh skript.

In generate.sh, the inputgenerator.py is now called as a local script.

In inputgenerator.py, use /usr/bin/env to be independent of actual python installation dir.
Explicitly use python2, which is needed by the skript and not always the default anymore.

The parameter enable_quad_prec was introduced in InputParams_mod.F90,
but not in InputParamsNew.txt, so it did not appear when recreating
the Fortran module from the list of parameters.

Merge latest KKRnano version into develop

See merge request kkr/jukkr!12

Move torque module to common

See merge request kkr/jukkr!11

Just the rename and two lines in the cmake files.

Changed some input arguments so that the module does not depend on any things specific to KKRhost anymore.

Activate running regression tests for KKRnano

See merge request kkr/jukkr!8

Merge improved chebychev solver

See merge request kkr/jukkr!9

And update test 25 to new solver

mkdir -p build
make tfQMRgpu SMP=openmp tfQMRgpu=yes
make SMP=openmp tfQMRgpu=yes -j

Adopted MakeFile, swiched off grouping and changed transposition flags for gpu call.