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Project Description

Compute fast Fourier transforms in Python.

Example

The following code snippet shows how to compute the forward Fourier transform of an arbitrary array of 64 samples:

>>> from fftw.fftw import Plan
>>> import numpy
>>> input_array = numpy.arange(64, dtype=numpy.complex)
>>> plan = Plan(input_array, output_array=numpy.empty_like(input_array))
>>> result_array = plan()

>>> print(input_array)
[  0.+0.j   1.+0.j   2.+0.j   3.+0.j   4.+0.j   5.+0.j   6.+0.j   7.+0.j
   8.+0.j   9.+0.j  10.+0.j  11.+0.j  12.+0.j  13.+0.j  14.+0.j  15.+0.j
  16.+0.j  17.+0.j  18.+0.j  19.+0.j  20.+0.j  21.+0.j  22.+0.j  23.+0.j
  24.+0.j  25.+0.j  26.+0.j  27.+0.j  28.+0.j  29.+0.j  30.+0.j  31.+0.j
  32.+0.j  33.+0.j  34.+0.j  35.+0.j  36.+0.j  37.+0.j  38.+0.j  39.+0.j
  40.+0.j  41.+0.j  42.+0.j  43.+0.j  44.+0.j  45.+0.j  46.+0.j  47.+0.j
  48.+0.j  49.+0.j  50.+0.j  51.+0.j  52.+0.j  53.+0.j  54.+0.j  55.+0.j
  56.+0.j  57.+0.j  58.+0.j  59.+0.j  60.+0.j  61.+0.j  62.+0.j  63.+0.j]

>>> print(result_array)
[ 2016.  +0.j           -32.+651.374964j     -32.+324.9014524j
   -32.+215.72647697j   -32.+160.87486375j   -32.+127.75116108j
   -32.+105.48986269j   -32. +89.43400872j   -32. +77.254834j
   -32. +67.65831544j   -32. +59.86778918j   -32. +53.38877458j
   -32. +47.89138441j   -32. +43.14700523j   -32. +38.99211282j
   -32. +35.30655922j   -32. +32.j           -32. +29.00310941j
   -32. +26.26172131j   -32. +23.73281748j   -32. +21.38171641j
   -32. +19.18006188j   -32. +17.10435635j   -32. +15.13487283j
   -32. +13.254834j     -32. +11.44978308j   -32.  +9.70709388j
   -32.  +8.01558273j   -32.  +6.36519576j   -32.  +4.7467516j
   -32.  +3.15172491j   -32.  +1.57205919j   -32.  +0.j
   -32.  -1.57205919j   -32.  -3.15172491j   -32.  -4.7467516j
   -32.  -6.36519576j   -32.  -8.01558273j   -32.  -9.70709388j
   -32. -11.44978308j   -32. -13.254834j     -32. -15.13487283j
   -32. -17.10435635j   -32. -19.18006188j   -32. -21.38171641j
   -32. -23.73281748j   -32. -26.26172131j   -32. -29.00310941j
   -32. -32.j           -32. -35.30655922j   -32. -38.99211282j
   -32. -43.14700523j   -32. -47.89138441j   -32. -53.38877458j
   -32. -59.86778918j   -32. -67.65831544j   -32. -77.254834j
   -32. -89.43400872j   -32.-105.48986269j   -32.-127.75116108j
   -32.-160.87486375j   -32.-215.72647697j   -32.-324.9014524j
   -32.-651.374964j  ]

Installation

Requirements

The following dependencies are required to build, run and test the package:

  • setuptools
  • pkgconfig
  • numpy
  • cffi
  • nose

An installation of the FFTW library is required. It should be discoverable with a call to pkg-config:

$ pkg-config --libs fftw3

Local or non-system installation locations are supported using PKG_CONFIG_PATH:

$ export PKG_CONFIG_PATH=$HOME/local/lib/pkgconfig
$ pkg-config --libs fftw3

Using pip

The recommended way to install the package is via pip:

$ pip install fftw-cffi

Using setup.py

This method is suitable for environments where pip is not available, or for testing modifications to the package:

$ python setup.py install

Contributing

Guidelines

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.

Running the tests

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

License

The fftw-cffi source code is released under the terms of the new BSD license. The copyright information can be checked out in the accompanying LICENSE file.

A separate installation of the FFTW 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 FFTW library is licensed under the GPL version 2 or later.

Release History

Release History

0.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.dev1

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
fftw-cffi-0.1.tar.gz (5.5 kB) Copy SHA256 Checksum SHA256 Source Feb 16, 2016

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