def getRawFiles(self):
r = []
for el in flatten(self):
if hasattr(el, "__type__") and el.__type__ is 'analyse':
if hasattr(el, "getRawFiles"):
r.extend(el.getRawFiles())
return r
def getRawFiles(self):
r = []
for el in flatten(self):
if hasattr(el, "__type__") and el.__type__ is 'analyse':
if hasattr(el, "getRawFiles"):
r.extend(el.getRawFiles())
return r
def postSimulation(self, cir):
analyse_names = []
for el in flatten(self):
if hasattr(el, "__type__") and el.__type__ is 'analyse':
if hasattr(el, "postSimulation"):
if not el['name'] in analyse_names:
el.postSimulation(cir)
analyse_names.append( el['name'] )
def getRawFiles(self):
r = []
for el in flatten(self):
if hasattr(el, "__type__") and el.__type__ is 'analyse' and hasattr(el, "getRawFiles"):
for rawfile in el.getRawFiles():
if not rawfile in r:
r.append( rawfile )
return r
def alter(self, freq):
x = []
for i in xrange(len(self.nodes)/2):
row = []
for j in xrange(len(self.nodes)/2):
freqs = self.data['freq']
sij = self.data['s%d%d'%(i+1,j+1)]
xsij = interp1d(freqs, sij)(freq)
row.append( xsij )
x.append(row)
y = list(flatten(x))
netlist = Netlist()
for i, k in enumerate(self._ivcvs):
netlist.append( self[k].alter(y[i], freq) )
return netlist
def alter(self, freq):
x = []
for i in xrange(len(self.nodes) / 2):
row = []
for j in xrange(len(self.nodes) / 2):
freqs = self.data['freq']
sij = self.data['s%d%d' % (i + 1, j + 1)]
xsij = interp1d(freqs, sij)(freq)
row.append(xsij)
x.append(row)
y = list(flatten(x))
netlist = Netlist()
for i, k in enumerate(self._ivcvs):
netlist.append(self[k].alter(y[i], freq))
return netlist
