from morphforge.simulationanalysis.summaries.summariser_library import SummariserLibrary
from morphforgecontrib.simulation.membranemechanisms.hh_style.core.mmleak import MM_LeakChannel
class Summarise_MM_LeakChannel(object):
@classmethod
def toReportLab(cls, leakChannel, reportlabconfig, make_graphs):
from reportlab.platypus import Paragraph, Table
chl = leakChannel
localElements = []
localElements.append( Paragraph("Overview",reportlabconfig.styles['Heading3']) )
# Summary:
overviewTableData = [
["Conductance", chl.conductance],
["Reversal Potential", chl.reversalpotential],
]
localElements.append( Table(overviewTableData, style=reportlabconfig.listTableStyle) )
return localElements
SummariserLibrary.registerSummariser(channelBaseClass=MM_LeakChannel, summariserClass=Summarise_MM_LeakChannel)
#Equations:
eqns = [
"alpha(V) = (A+BV)/(C+exp( (V+D)/E) )",
"beta(V) = (A+BV)/(C+exp( (V+D)/E) )",
]
for eqn in eqns:
localElements.append( Paragraph(eqn,reportlabconfig.styles['Normal']) )
# Alpha Beta
ReportLabTools.buildAlphaBetaTable( elements=localElements,
reportlabconfig=reportlabconfig,
title="Alpha", params=params[0] )
ReportLabTools.buildAlphaBetaTable( elements=localElements,
reportlabconfig=reportlabconfig,
title="Beta1", params=params[1] )
if make_graphs:
# Figures:
fig = cls.PlotStateCurveSummary(alphaBetaChl, state, figsize=(5,5))
localElements.append( reportlabconfig.saveMPLToRLImage(fig, "somestate") )
import pylab
pylab.close( fig.fig )
return localElements
SummariserLibrary.registerSummariser(channelBaseClass=MM_AlphaBetaChannel, summariserClass=Summarise_MM_AlphaBetaChannel)