Compute non-uniform fast Fourier transforms in Python.
The following dependencies are required to build, run and test the package:
An installation of the NFFT library (version 3.3 or later) is also required. It should be discoverable with a call to pkg-config:
$ pkg-config --libs nfft3
Local or non-system installation locations are supported using PKG_CONFIG_PATH:
$ export PKG_CONFIG_PATH=$HOME/local/lib/pkgconfig $ pkg-config --libs nfft3
The recommended way to install the package is via pip:
$ pip install nfft-cffi
This method is suitable for environments where pip is not available, or for testing modifications to the package:
$ python setup.py install
The development team welcomes feedback, code and enhancement proposals to the package from the community. Please consider opening an issue or submitting patches for inclusion to the code base via pull-request. For code contributions, please provide appropriate test cases for each new features and verify that the complete test suite runs successfully.
If the bindings were modified, then one should first rebuild the CFFI module with:
$ python setup.py build_ext --inplace
Before running the test suite with a call to:
$ python setup.py nosetests
A separate installation of the NFFT library is required. The source code can be downloaded from the official homepage and installed following the instructions available in the corresponding README file. The NFFT library is licensed under the GPL version 2 or later.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.