def __init__(self,
f0=0,
i0=0,
e0=0,
gl=0,
gu=0,
a=0,
zm=ZeemanModel(),
lsm=LineShapeModel(),
qupp=[],
qlow=[]):
if isinstance(f0, c.c_void_p):
self.__delete__ = False
self.__data__ = f0
else:
self.__delete__ = True
self.__data__ = c.c_void_p(lib.createAbsorptionSingleLine())
self.f0 = f0
self.i0 = i0
self.e0 = e0
self.gl = gl
self.gu = gu
self.a = a
self.zeeman = zm
self.lsm = lsm
self.qupp = qupp
self.qlow = qlow
def __init__(self,
selfbroadening=False,
bathbroadening=False,
nlines=0,
cutoff="None",
mirroring="None",
population="LTE",
normalization="None",
lineshapetype="VP",
t0=296,
cutofffreq=-1,
linemixinglimit=-1,
quantumidentity=QuantumIdentifier(),
localquantumnumbers=[],
broadeningspecies=ArrayOfSpecies(),
lsm=LineShapeModel()):
if isinstance(selfbroadening, c.c_void_p):
self.__delete__ = False
self.__data__ = selfbroadening
else:
self.__delete__ = True
self.__data__ = c.c_void_p(lib.createAbsorptionLines())
self.selfbroadening = selfbroadening
self.bathbroadening = bathbroadening
self.cutoff = cutoff
self.mirroring = mirroring
self.population = population
self.normalization = normalization
self.lineshapetype = lineshapetype
self.t0 = t0
self.cutofffreq = cutofffreq
self.linemixinglimit = linemixinglimit
self.quantumidentity = quantumidentity
self.localquantumnumbers = localquantumnumbers
self.broadeningspecies = broadeningspecies
n = len(self.localquantumnumbers)
x = AbsorptionSingleLine(lsm=lsm,
qupp=[Rational()] * n,
qlow=[Rational()] * n)
self.sizelines = nlines
y = self.lines
for line in y:
line.set(x)
if not self.OK:
raise ValueError("Bad initialization of class")
def lsm(self):
""" Line shape model (LineShapeModel) """
return LineShapeModel(c.c_void_p(lib.getlineshapeAbsorptionSingleLine(self.__data__)))