def set(self, other):
""" Sets this class according to another python instance of itself """
if isinstance(other, PropagationMatrix):
tmp = Tensor4(other.data.data)
self.setData(other.frequencies, other.stokes, other.zeniths,
other.azimuths, 0.0)
self.data = tmp
else:
raise TypeError("Expects PropagationMatrix")
def xsec(self):
""" Absorption cross sections (Tensor4) """
return Tensor4(c.c_void_p(lib.getXsecGasAbsLookup(self.__data__)))
def B0rp(self):
""" B0rp: (Tensor4) """
return Tensor4(
c.c_void_p(lib.getB0rpHitranRelaxationMatrixData(self.__data__)))
def W0rq(self):
""" W0rq: (Tensor4) """
return Tensor4(
c.c_void_p(lib.getW0rqHitranRelaxationMatrixData(self.__data__)))
assert not gf1.OK
gf1.data = Vector([5,4,3])
assert gf1.OK
gf2.grids = [Vector([1,2,3]), ArrayOfString([String("Hej"), String("hopp")])]
assert not gf2.OK
gf2.data = Matrix([[1, 2], [3, 4], [5, 6]])
assert gf2.OK
gf3.data = Tensor3(np.zeros((5, 3, 2)))
assert not gf3
assert not gf3.OK
gf3.grids = [Vector(np.linspace(0, 1, 5)), Vector(np.linspace(0, 1, 3)), Vector(Vector(np.linspace(0, 1, 2)))]
assert gf3.OK
gf4.data = Tensor4(np.zeros((5, 3, 2, 4)))
assert not gf4
assert not gf4.OK
gf4.grids = [Vector(np.linspace(0, 1, 5)), Vector(np.linspace(0, 1, 3)), Vector(np.linspace(0, 1, 2)), Vector(np.linspace(0, 1, 4))]
assert gf4.OK
gf5.data = Tensor5(np.zeros((5, 3, 2, 4)))
assert not gf5
assert not gf5.OK
gf5.grids = [Vector([0]), Vector(np.linspace(0, 1, 5)), Vector(np.linspace(0, 1, 3)), Vector(np.linspace(0, 1, 2)), Vector(np.linspace(0, 1, 4))]
assert gf5.OK
gf6.data = Tensor6(np.zeros((1, 2, 3, 4, 5, 6)))
assert not gf6
assert not gf6.OK
gf6.grids = [Vector([0]), Vector(np.linspace(0, 1, 2)), Vector(np.linspace(0, 1, 3)), Vector(np.linspace(0, 1, 4)), Vector(np.linspace(0, 1, 5)), Vector(np.linspace(0, 1, 6))]
import numpy as np from pyarts.classes.Vector import Vector from pyarts.classes.Matrix import Matrix from pyarts.classes.Tensor3 import Tensor3 from pyarts.classes.Tensor4 import Tensor4 from pyarts.classes.Tensor5 import Tensor5 from pyarts.classes.Tensor6 import Tensor6 from pyarts.classes.Tensor7 import Tensor7 t1 = Vector() t2 = Matrix() t3 = Tensor3() t4 = Tensor4() t5 = Tensor5() t6 = Tensor6() t7 = Tensor7() assert not t1 assert not t2 assert not t3 assert not t4 assert not t5 assert not t6 assert not t7 n = int(np.random.permutation(np.linspace(1, 10, 10))[0]) t1.data = np.random.normal(size=(n, )) t2.data = np.random.normal(size=(n, n)) t3.data = np.random.normal(size=(n, n, n)) t4.data = np.random.normal(size=(n, n, n, n))
def data(self):
""" The data (Tensor4) """
return Tensor4(c.c_void_p(lib.getDataPropagationMatrix(self.__data__)))
def data(self):
""" NLTE data (Tensor4) """
return Tensor4(c.c_void_p(lib.getDataEnergyLevelMap(self.__data__)))
def data(self):
""" The data (Tensor4) """
return Tensor4(c.c_void_p(lib.getDataStokesVector(self.__data__)))
def data(self):
""" The data (Tensor4) """
return Tensor4(c.c_void_p(lib.dataGriddedField4(self.__data__)))
