Source code for spynnaker.pyNN.extra_algorithms.splitter_components.splitter_utils

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# Licensed under the Apache License, Version 2.0 (the "License");
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from pacman.model.graphs.application import ApplicationVertex

from spynnaker.pyNN.data import SpynnakerDataView
from spynnaker.pyNN.extra_algorithms.splitter_components import (
    SplitterPoissonDelegate)
from spynnaker.pyNN.models.neural_projections.connectors import (
    AbstractConnector, OneToOneConnector)
from spynnaker.pyNN.models.neuron.synapse_dynamics import (
    AbstractSynapseDynamics, SynapseDynamicsStatic)
from spynnaker.pyNN.models.spike_source import SpikeSourcePoissonVertex
from spynnaker.pyNN.types import Delay_Types


[docs] def is_direct_poisson_source( post_vertex: ApplicationVertex, pre_vertex: ApplicationVertex, connector: AbstractConnector, dynamics: AbstractSynapseDynamics, delay: Delay_Types) -> bool: """ Determine if a given Poisson source can be created by this splitter. :param ~pacman.model.graphs.application.ApplicationVertex pre_vertex: The vertex sending into the Projection :param connector: The connector in use in the Projection :type connector: ~spynnaker.pyNN.models.neural_projections.connectors.AbstractConnector :param dynamics: The synapse dynamics in use in the Projection :type dynamics: ~spynnaker.pyNN.models.neuron.synapse_dynamics.AbstractSynapseDynamics :param delay: The delay in use in the Projection :rtype: bool """ return (isinstance(pre_vertex, SpikeSourcePoissonVertex) and isinstance(pre_vertex.splitter, SplitterPoissonDelegate) and len(pre_vertex.outgoing_projections) == 1 and pre_vertex.n_atoms == post_vertex.n_atoms and isinstance(connector, OneToOneConnector) and isinstance(dynamics, SynapseDynamicsStatic) and delay == SpynnakerDataView().get_simulation_time_step_ms())