##Equations:
#eqns = [
# "alpha(V) = (A+BV)/(C+exp((V+D)/E))",
# "beta(V) = (A+BV)/(C+exp((V+D)/E))",
# ]
#for eqn in eqns:
# local_elements.append(Paragraph(eqn, reportlabconfig.styles['Normal']))
# Alpha Beta
#ReportLabTools.buildInfTauInterpolatedTable(elements=local_elements,
# reportlabconfig=reportlabconfig,
# title="Alpha", params=params[0])
#ReportLabTools.buildInfTauInterpolatedTable(elements=local_elements,
# reportlabconfig=reportlabconfig,
# title="Beta1", params=params[1])
# Figures:
if make_graphs:
fig = cls.plot_state_curve_summary(alphabeta_chl, state, figsize=(7, 7))
local_elements.append(reportlabconfig.save_mpl_to_rl_image(fig, "somestate"))
fig.close()
return local_elements
SummariserLibrary.register_summariser(channel_baseclass=MM_InfTauInterpolatedChannel, summariser_class=Summarise_MM_InfTauInterpolatedChannel)
from morphforge.simulationanalysis.summaries_new import SummariserLibrary
from neurounits.writers import MRedocWriterVisitor
import mredoc as mrd
#import mredoc as mrd
class NeuroUnitEqnsetMechanismSummariser(SummariserObject):
@classmethod
def build(cls, obj):
return mrd.HierachyScope(
#mrd.Section('Source:',
# mrd.VerbatimBlock(obj.eqnset
# ),
MRedocWriterVisitor.build(obj.eqnset)
)
SummariserLibrary.register_summariser(NeuroUnitEqnsetMechanism, NeuroUnitEqnsetMechanismSummariser)
class Neuron_NeuroUnitEqnsetMechanism(NEURONChl_Base, NeuroUnitEqnsetMechanism):
def __init__(self, **kwargs):
super(Neuron_NeuroUnitEqnsetMechanism, self).__init__(**kwargs)
self.nmodl_txt, self.buildparameters = WriteToNMODL(self.eqnset, neuron_suffix="NRNEQNSET"+ObjectLabeller.get_next_unamed_object_name(Neuron_NeuroUnitEqnsetMechanism, prefix=""))
from neurounits.writers import MRedocWriterVisitor
import mredoc as mrd
#import mredoc as mrd
class NeuroUnitEqnsetMechanismSummariser(SummariserObject):
@classmethod
def build(cls, obj):
return mrd.HierachyScope(
#mrd.Section('Source:',
# mrd.VerbatimBlock(obj.eqnset
# ),
MRedocWriterVisitor.build(obj.eqnset))
SummariserLibrary.register_summariser(NeuroUnitEqnsetMechanism,
NeuroUnitEqnsetMechanismSummariser)
class Neuron_NeuroUnitEqnsetMechanism(NEURONChl_Base,
NeuroUnitEqnsetMechanism):
def __init__(self, **kwargs):
super(Neuron_NeuroUnitEqnsetMechanism, self).__init__(**kwargs)
self.nmodl_txt, self.buildparameters = WriteToNMODL(
self.eqnset,
neuron_suffix="NRNEQNSET" +
ObjectLabeller.get_next_unamed_object_name(
Neuron_NeuroUnitEqnsetMechanism, prefix=""))
assert self.buildparameters.mechanismtype == MechanismType.Distributed
self.units = {}
