pyfmmlib ======== pyfmmlib is a Python wrapper for `fmmlib2d `_ and `fmmlib3d `_ implementations of the `fast multipole method `_ for `Laplace `_ and `Helmholtz `_ potentials by Zydrunas Gimbutas and Leslie Greengard (and including code by many more people). This wrapper is far from comprehensive. It just catches the things I ended up needing. Nonetheless, the FMMs and a fair bit of other useful stuff is accessible. - Andreas Kloeckner .. image:: https://badge.fury.io/py/pyfmmlib.png :target: http://pypi.python.org/pypi/pyfmmlib Installation ------------ To build this, you need * `numpy `_ * `mako `_ (`pip `_ install mako or `ez_install mako`) Run:: python setup.py install as usual and cross your fingers. Documentation ------------- Not much, unfortunately. Here's what I do to figure out how to use stuff:: >>> import pyfmmlib >>> dir(pyfmmlib) ['__builtins__', '__doc__', '__file__', '__name__', '__package__', '_add_plot', ...] Fish the desired function from this list (let's use 'legefder' as an example) and run: >>> print pyfmmlib.legefder.__doc__ legefder - Function signature: val,der = legefder(x,pexp,[n]) Required arguments: x : input float pexp : input rank-1 array('d') with bounds (n + 1) Optional arguments: n := (len(pexp)-1) input int Return objects: val : float der : float This tells you how to call the function from Python. You can then use grep to fish out the right Fortran source:: $ grep -icl 'legefder' fmmlib*/*/*.f fmmlib3d/src/legeexps.f Then look at the docs there, and you're in business. No idea what function name to look for? Just use the same grep procedure to look for keywords. Crude, but effective. :) Two more things: * Some functions are wrapped with a ``_vec`` suffix. This means they apply to whole vectors of arguments at once. They're also parallel via OpenMP. * ``pyfmmlib.fmm_part`` and ``pyfmmlib.fmm_tria`` are (dimension-independent) wrappers that make the calling sequence for the FMMs just a wee bit less obnoxious. See ``examples/fmm.py`` for more. Here's a rough idea how these are called:: from pyfmmlib import fmm_part, HelmholtzKernel pot, grad = fmm_part("PG", iprec=2, kernel=HelmholtzKernel(5), sources=sources, mop_charge=1, target=targets) Unlike the rest of the library (which calls directly into Fortran), these routines expect ``(n,3)``-shaped (that is, C-Order) arrays. License ------- This wrapper is licensed under the MIT license, as below. Beware, though, that `fmmlib{2,3}d` are licensed under the GNU General Public License v2, which is more restrictive. Copyright (C) 2013 Andreas Kloeckner Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.