def __eq__(self, o):
if isinstance(o, QuantumIdentifier):
return Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
self.__data__))) == Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
o.__data__))) and self.val == o.val
else:
return self == QuantumIdentifier(o)
def set(self, o):
if isinstance(o, QuantumIdentifier):
Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
self.__data__))).set(
Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
o.__data__))))
self.val = o.val
else:
self.set(QuantumIdentifier(o))
def isot(self, o):
if isinstance(o, int) or isinstance(o, Index):
Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
self.__data__))).set(
SpeciesIsotopeRecord.from_index(o).index)
else:
Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
self.__data__))).set(
SpeciesIsotopeRecord(str(o)).index)
def localquantumnumbers(self):
""" Local quantum numbers (list of Index) """
n = self.sizelocalquantumnumbers
x = []
for i in range(n):
x.append(
Index(
c.c_void_p(
lib.getelemLocalQuantaAbsorptionLines(
i, self.__data__))))
return x
def isot(self):
return SpeciesIsotopeRecord.from_index(
Index(
c.c_void_p(
lib.getisotopologue_indexQuantumIdentifier(
self.__data__))))
def np(self):
""" Number of points describing the ppath (Index) """
return Index(c.c_void_p(lib.getnpPpath(self.__data__)))
def nchan(self):
""" Number of channels in the Atlas (Index) """
return Index(c.c_void_p(lib.getChannelCountTelsemAtlas(self.__data__)))
def idx(self):
""" Index of position below point (Index) """
return Index(c.c_void_p(lib.getidxGridPos(self.__data__)))
def pos(self):
""" Index of position below point (ArrayOfIndex) """
return Index(c.c_void_p(lib.getposLagrangeInterpolation(
self.__data__)))
def spec_ind(self):
return Index(c.c_void_p(lib.getspec_indQuantumIdentifier(self.__data__)))
def cia_dataset_index(self):
return Index(c.c_void_p(lib.getcia_dataset_indexSpeciesTag(self.__data__)))
def spec_ind(self):
return Index(c.c_void_p(lib.getspec_indSpeciesTag(self.__data__)))
def month(self):
""" Month of the Atlas (Index) """
return Index(c.c_void_p(lib.getMonthTelsemAtlas(self.__data__)))
def nb_outputs(self):
""" (Index) """
return Index(c.c_void_p(lib.getnb_outputsTessemNN(self.__data__)))
s.val = "Hej"
assert s == "Hej", "Bad write"
s.set(String("Help"))
assert s == "Help", "Bad write"
i.val = 3
assert i == 3, "Bad write"
i.set(5)
assert i == 5, "Bad write"
n.val = 3.5
assert n == 3.5, "Bad write"
n.set(3.14)
assert n == 3.14, "Bad write"
s2 = String(0)
s.savexml("tmp.s.xml", "binary")
s2.readxml("tmp.s.xml")
assert s == s2
i2 = Index(0)
i.savexml("tmp.i.xml", "binary")
i2.readxml("tmp.i.xml")
assert i == i2
n2 = Numeric(0)
n.savexml("tmp.n.xml", "binary")
n2.readxml("tmp.n.xml")
assert n == n2
def nb_cache(self):
""" (Index) """
return Index(c.c_void_p(lib.getnb_cacheTessemNN(self.__data__)))
def dim(self):
""" Atmospheric dimensionality (Index) """
return Index(c.c_void_p(lib.getdimPpath(self.__data__)))
def analytical(self):
""" (Index) """
return Index(
c.c_void_p(lib.getAnalyticalRetrievalQuantity(self.__data__)))
def ndat(self):
""" Number of lines in the Atlas (Index) """
return Index(c.c_void_p(lib.getDataCountTelsemAtlas(self.__data__)))
