anamnesis documentation

Contents:

• Tutorials
  • Serialisation
  • MPI
• Module reference
  • Serialisation
  • Class Registration

Introduction

anamnesis is a python module which provides the ability to easily serialise/unserialise Python classes to and from the HDF5 file format. It aims to be trivial to incorporate (normally requiring only a single extra class variable to be added to your classes) and flexible.

The library also extends the HDF5 serialisation/unserialisation capabilities to the MPI framework. This allows objects to be trivially passed between nodes in an MPI computation. The library also provides some wrapper routines to make it simpler to perform scatter and gather operations on arrays and lists (lists may even contain objects to be transferred).

anamnesis was originally written as part of the NeuroImaging Analysis Framework, a library intended for use in MEG theory work written at York NeuroImaging Centre, University of York, UK, but it has been split out in order to make it more generically useful.

Indices and tables

• Index
• Module Index
• Search Page