##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)
"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.build_alpha_beta_table(
elements=localElements,
reportlabconfig=reportlabconfig,
title="Alpha",
params=params[0])
ReportLabTools.build_alpha_beta_table(
elements=localElements,
reportlabconfig=reportlabconfig,
title="Beta1",
params=params[1])
ReportLabTools.build_alpha_beta_table(
elements=localElements,
reportlabconfig=reportlabconfig,
title="Beta2",
params=params[2])
return localElements
SummariserLibrary.register_summariser(
channel_baseclass=StdChlCalciumAlphaBetaBeta,
summariser_class=Summarise_MM_CalciumAlphaBetaBetaChannel)
#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)
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)
if make_graphs:
fig = cls.plot_state_curve_summary(chl, state, figsize=(5, 5))
localElements.append(reportlabconfig.save_mpl_to_rl_image(fig, "somestate"))
fig.close()
#Equations:
eqns = [
"beta2Threshold = %s" % calciumAlphaBetaBetaChannel.beta2threshold,
"beta = beta1 if V less than beta2Threshold otherwise beta2",
"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.build_alpha_beta_table(elements=localElements,
reportlabconfig=reportlabconfig,
title="Alpha", params=params[0])
ReportLabTools.build_alpha_beta_table(elements=localElements,
reportlabconfig=reportlabconfig,
title="Beta1", params=params[1])
ReportLabTools.build_alpha_beta_table(elements=localElements,
reportlabconfig=reportlabconfig,
title="Beta2", params=params[2])
return localElements
SummariserLibrary.register_summariser(channel_baseclass=StdChlCalciumAlphaBetaBeta, summariser_class=Summarise_MM_CalciumAlphaBetaBetaChannel)
