WindowerInterface

Module: missions.support.WindowerInterface

This file defines the template AbstractStreamReader which is needed for all stream readers (e.g. eegreader) to work together with the Windower or any classes derived from the Windower Base-class.

Inheritance diagram for pySPACE.missions.support.WindowerInterface:

AbstractStreamReader

class pySPACE.missions.support.WindowerInterface.AbstractStreamReader

Bases: object

Property and method definitions of any reader class to be able to interact with the windower.

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
channelNames	list of channel/sensor names
dSamplingInterval	actually the sampling frequency
markerNames	inverse mapping of markerids (dict)
markerids	mapping of markers/events in stream and unique integer (dict)
read(nblocks)	Read nblocks of the stream and pass it to registers functions
regcallback(func)	register a function as consumer of the stream
stdblocksize	standard block size (int)

__metaclass__

alias of ABCMeta

dSamplingInterval

actually the sampling frequency

stdblocksize

standard block size (int)

markerids

mapping of markers/events in stream and unique integer (dict)

The dict has to contain the mapping ‘null’ -> 0 to use the nullmarkerstride option in the windower.

channelNames

list of channel/sensor names

markerNames

inverse mapping of markerids (dict)

regcallback(func)

register a function as consumer of the stream

read(nblocks)

Read nblocks of the stream and pass it to registers functions

The callback function that is registered by the windower has the signature ‘func_name(self, ndsamples, ndmarkers)’ where ndsamples is a numpy 2d-array with shape (number_of_sensors x stdblocksize) and ndmarkerks is a numpy ndarray of length stdblocksize filled with the unique marker ids (ints) where the events occurred and -1 otherwise. The read function has to provide this two arrays and then pass it to the callback functions. It should in addition return the number of read blocks.

__abstractmethods__ = frozenset(['regcallback', 'dSamplingInterval', 'markerNames', 'read', 'stdblocksize', 'markerids', 'channelNames'])

__weakref__

list of weak references to the object (if defined)

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>