def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.C0 = float(data.v('C0'))
# call checkVariables method of FunctionBase to make sure that the input is correct
FunctionBase.checkVariables(self, ('C0', self.C0))
return
def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.L = float(data.v('L'))
self.C1 = np.array(data.v('C1'))
self.C2 = np.array(data.v('C2'))
FunctionBase.checkVariables(self, ('L', self.L), ('C1', self.C1), ('C2', self.C2))
return
def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.L = float(data.v('L'))
self.C0 = float(data.v('C0'))
self.CL = float(data.v('CL'))
FunctionBase.checkVariables(self, ('C0', self.C0), ('CL', self.CL),
('L', self.L))
return
def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.L = float(data.v('L'))
self.alpha = float(data.v('alpha'))
self.beta = float(data.v('beta'))
self.gamma = float(data.v('gamma'))
self.xc = float(data.v('xc'))
self.xl = float(data.v('xl'))
FunctionBase.checkVariables(self, ('alpha', self.alpha),
('beta', self.beta), ('xc', self.xc),
('xl', self.xl), ('L', self.L))
return
def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.L = float(data.v('L'))
self.C0 = data.v('C0')
self.C1 = data.v('C1')
self.xc = float(data.v('xc'))
self.xl = float(data.v('xl'))
# call checkVariables method of FunctionBase to make sure that the input is correct
FunctionBase.checkVariables(self, ('C0', self.C0), ('C1', self.C1),
('xc', self.xc), ('xl', self.xl),
('L', self.L))
return
def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.L = float(data.v('L'))
self.C = np.array(data.v('C'))
self.XL = float(np.array(data.v('XL')))
FunctionBase.checkVariables(self, ('C', self.C), ('XL', self.XL),
('L', self.L))
# coefficients for the linear function
self.C_lin = np.asarray([
np.polyval(np.polyder(self.C), self.XL),
np.polyval(self.C, self.XL)
])
return
def __init__(self, dimNames, data):
FunctionBase.__init__(self, dimNames)
self.L = float(data.v('L'))
self.C = np.array(ny.toList(data.v('C')))
FunctionBase.checkVariables(self, ('C', self.C), ('L', self.L))
return