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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)