def _to_dc_analysis(self, sweep_variable):
sweep = sweep_variable.to_waveform()
return DcAnalysis(
simulation=self.simulation,
sweep=sweep,
nodes=self.nodes(),
branches=self.branches(),
)
def _to_dc_analysis(self):
if 'v(v-sweep)' in self:
sweep_variable = self['v(v-sweep)']
elif 'v(i-sweep)' in self:
sweep_variable = self['v(i-sweep)']
else:
raise NotImplementedError
sweep = sweep_variable.to_waveform()
return DcAnalysis(sweep, nodes=self.nodes(), branches=self.branches())
def _to_dc_analysis(self):
for name in ('v-sweep', 'i-sweep', 'temp-sweep'):
if name in self:
sweep_variable = self[name]
break
else:
raise NotImplementedError(str(self))
sweep = sweep_variable.to_waveform()
return DcAnalysis(
simulation=self._simulation,
sweep=sweep,
nodes=self.nodes(),
branches=self.branches(),
internal_parameters=self.internal_parameters(),
)
def _to_dc_analysis(self):
# if 'v(v-sweep)' in self:
# sweep_variable = self['v(v-sweep)']
# elif 'v(i-sweep)' in self:
# sweep_variable = self['v(i-sweep)']
if 'v-sweep' in self:
sweep_variable = self['v-sweep']
elif 'i-sweep' in self:
sweep_variable = self['i-sweep']
else:
raise NotImplementedError(str(self))
sweep = sweep_variable.to_waveform()
return DcAnalysis(
simulation=self._simulation,
sweep=sweep,
nodes=self.nodes(),
branches=self.branches(),
)