def update_dtc_pop(item_of_iter_list):
from neuronunit.optimization import data_transport_container
dtc = data_transport_container.DataTC()
dtc.attrs = item_of_iter_list
dtc.scores = {}
dtc.rheobase = None
dtc.evaluated = False
return dtc
def update_dtc_grid(item_of_iter_list):
dtc = data_transport_container.DataTC()
dtc.attrs = deepcopy(item_of_iter_list)
dtc.scores = {}
dtc.rheobase = None
dtc.evaluated = False
dtc.backend = 'NEURON'
return dtc
def update_dtc_grid(item_of_iter_list):
from neuronunit.optimization import data_transport_container
import copy
dtc = data_transport_container.DataTC()
from copy import deepcopy
dtc.attrs = deepcopy(item_of_iter_list)
dtc.scores = {}
dtc.rheobase = None
dtc.evaluated = False
dtc.backend = 'NEURON'
return dtc
def test_ap_threshold(self):
from neuronunit.models.reduced import ReducedModel
from neuronunit.optimization import get_neab
from neuronunit.tests.waveform import InjectedCurrentAPThresholdTest as T
from neuronunit.optimization.optimization_management import format_test
from neuronunit.optimization import data_transport_container
dtc = data_transport_container.DataTC()
dtc.rheobase = self.rheobase
dtc = format_test(dtc)
self.model = ReducedModel(get_neab.LEMS_MODEL_PATH, backend=('NEURON',{'DTC':dtc}))
#score = self.run_test(T)
score = self.run_test(T,pred=self.rheobase)
assert score.sort_key is not None
self.assertTrue(score.sort_key is not None)