#map
LifedPerturbationMeanComplexesArray=SYS.numpy.array(
map(
lambda __PerturbationFrequencyFloat:
MyLifer.setAttr(
'LifingPerturbationFrequencyFloat',
__PerturbationFrequencyFloat
).lif(
).LifedPerturbationMeanComplexVariable,
PerturbationFrequencyFloatsArray
)
)
#plot
SYS.plot(
PerturbationFrequencyFloatsArray,
abs(LifedPerturbationMeanComplexesArray),
'.-',linewidth=3,markersize=25,
color='blue' if __PerturbationMethodStr=='Brunel' else 'red'
);
#init figure
SYS.plot(
[1.,100.],
[MyLifer.LifedPerturbationNullFloat]*2,
'--',linewidth=3,markersize=25,color='green'
);
SYS.Axes.set_xscale('log')
SYS.show()
)
).network(
**{
'RecruitingConcludeConditionVariable':[
(
'MroClassesList',
SYS.contains,
SYS.NeurongrouperClass
)
]
}
).brian()
#init variables
map(
lambda __BrianedNeuronGroup:
__BrianedNeuronGroup.__setattr__(
'r',
1.+SYS.array(map(float,xrange(__BrianedNeuronGroup.N)))
),
MyBrianer.BrianedNeuronGroupsList
)
#run
MyBrianer.run(100)
#plot
M=MyBrianer['<Neurongroupers>PNeurongrouper']['<StateMoniters>RateMoniter'].StateMonitor
SYS.plot(M.t, M.r.T)
SYS.show()
)
'''
#Definition
DiskMaker=SYS.MakerClass(
).make(
1.,2.
).explore(
_MethodStr = 'make',
_SuccessesInt = 1000,
_RangeVariable = {
'MakingXFloat':lambda self:-1.+2.*scipy.stats.uniform.rvs(),
'MakingYFloat':lambda self:-1.+2.*scipy.stats.uniform.rvs()
},
_ConditionVariable = {
'checkDistanceFloat':lambda self:self.MadeDistanceFloat<1.
}
)
#print
print('DiskMaker is ')
SYS._print(DiskMaker)
#show
map(
lambda __TuplesList:
SYS.plot(*list(dict(__TuplesList).values()),marker='o'),
DiskMaker.ExploredStoreTuplesListsList
)
SYS.show()
