Python Wrapper around Robert J. Renka's TSPACK.

TSPACK is a curve-fitting package based on exponential tension splines with automatic selection of tension factors.

For NOAA Hera users:

OPT='-std=c99' pip install https://github.com/noaa-oar-arl/pytspack/archive/master.zip

or see the Linux notes below.

If you are lucky,

pip install https://github.com/noaa-oar-arl/pytspack/archive/master.zip

will just work.

Alternatively, if the above ¹ fails, try

pip install https://github.com/noaa-oar-arl/pytspack/archive/master.zip --no-use-pep517 --no-deps

(you must already have numpy installed and currently must have setuptools earlier than v65).

Otherwise, you can clone the repo and try to build the extension module using f2py manually...

On Windows, with a GNU Fortran via MSYS2 setup, try the following:

1. Clone the repo

   git clone https://github.com/noaa-oar-arl/pytspack
   cd pytspack

2. Build the extension, using one of these options

   Using the setup.py:

   python setup.py build_ext --fcompiler=gnu95 --compiler=mingw32 --build-lib=./pytspack
   

   OR

   Using f2py directly:

   cd pytspack
   python -m numpy.f2py -c --fcompiler=gnu95 --compiler=mingw32 -m tspack tspack.f
   cd ..

3. Link pytspack to your active Python environment.

   pip install -e . --no-use-pep517

We have seen some issues where some gccs do not want to compile the fortranobject.c ²

Follow the same general steps as above, but don't use --compiler=mingw32.

On NOAA Hera, the default GCC is currently v4. Use module load gnu to get newer before attempting to install pytspack, or use

OPT='-std=c99' python -m numpy.f2py -c -m tspack tspack.f

to configure gcc.

OPT='-std=c99' can also be prepended to the pip install above, enabling an installation without cloning the repo.

For more information on TSPACK, see the open-access paper (Renka, 1993) or the netlib page.