Source code for hbp_nrp_cle.brainsim.pynn.PyNNCommunicationAdapter

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# This file is part of the Neurorobotics Platform software
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# in the frame of the Horizon2020 FET Flagship plan.
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"""
PyNNCommunicationAdapter
"""

import logging
from hbp_nrp_cle.brainsim.BrainInterface import ILeakyIntegratorAlpha, IPoissonSpikeGenerator, \
    IDCSource, IACSource, INCSource, ILeakyIntegratorExp, IPopulationRate, \
    IFixedSpikeGenerator, ISpikeRecorder

from hbp_nrp_cle.brainsim.common import AbstractCommunicationAdapter
from hbp_nrp_cle.brainsim.pynn.PyNNInfo import is_population, create_view
from hbp_nrp_cle.brainsim.pynn.devices import PyNNPopulationRate, PyNNACSource, PyNNDCSource, \
    PyNNFixedSpikeGenerator, PyNNLeakyIntegratorAlpha, PyNNLeakyIntegratorExp, PyNNNCSource, \
    PyNNPoissonSpikeGenerator, PyNNSpikeRecorder

logger = logging.getLogger(__name__)

__author__ = 'Dimitri Probst, Sebastian Krach'


[docs]class PyNNCommunicationAdapter(AbstractCommunicationAdapter): """ Represents the communication adapter to the neuronal simulator """ # In this dictionary, the association of spike generator types to classes # implementing their functionality is established __device_dict = {IFixedSpikeGenerator: PyNNFixedSpikeGenerator, IPoissonSpikeGenerator: PyNNPoissonSpikeGenerator, IDCSource: PyNNDCSource, IACSource: PyNNACSource, INCSource: PyNNNCSource, ILeakyIntegratorAlpha: PyNNLeakyIntegratorAlpha, ILeakyIntegratorExp: PyNNLeakyIntegratorExp, IPopulationRate: PyNNPopulationRate, ISpikeRecorder: PyNNSpikeRecorder}
[docs] def initialize(self): """ Marks the PyNN adapter as initialized """ logger.info("PyNN communication adapter initialized") super(PyNNCommunicationAdapter, self).initialize()
def _get_device_type(self, device_type): """ Returns the pynn specific implementation for specified device type :param device_type: the device type for which the implementation type is requested :return: the concrete type """ if device_type in self.__device_dict: return self.__device_dict[device_type] return super(PyNNCommunicationAdapter, self)._get_device_type(device_type)
[docs] def is_population(self, population): # -> Boolean: """ Determines whether the given object is a population :param population: The object that may be a population """ return is_population(population)
[docs] def create_view(self, population, sl): # -> Object: """ Creates a view of the given population :param population: The base population :param sl: The slice of the population that represents the view """ return create_view(population, sl)