HOOMDArray¶
- class hoomd.data.HOOMDArray(buffer, callback, read_only=None)¶
A numpy.ndarray-like interface to internal HOOMD-blue data.
HOOMD-blue’s zero copy local snapshot API (
hoomd.State.cpu_local_snapshot) returnsHOOMDArrayobjects.HOOMDArrayacts likenumpy.ndarraythrough NumPy’s provided interface. Some exceptions are theview,resize,flatandflatitermethods and thedataandbaseproperties.To ensure memory safety, a
HOOMDArrayobject cannot be accessed outside of the context manager in which it was created. Make an explicit copy to use the array elsewhere (e.g.numpy.array(obj, copy=True)).In general this class should be nearly as fast as a standard NumPy array, but there is some overhead. This is mitigated by returning a
numpy.ndarraywhenever possible.Performance Tips
Let
arepresent aHOOMDArray.Place the
HOOMDArrayto the left of the expression (e.g.a + b + cis faster thanb + a + c). This has to do with the mechanismsHOOMDArrayhas to do to hook into NumPy’s functionality.Make copies as early as possible. In other words, if you will need access outside the context manager, use
numpy.array(a, copy=True)before doing any calculations.If you know that your access of the internal buffer is safe and we cannot detect this (i.e. we return a
HOOMDArray), usingHOOMDArray._coerce_to_ndarrayshould help. Note that for large arrays this only gives minimal performance improvements at greater risk of breaking your program.