class TestVariables:
"""
Tests the manipulation of workspace variables.
"""
def setup_method(self):
"""
This ensures a new Workspace for every test.
"""
self.dir = os.path.dirname(os.path.realpath(__file__))
self.ws = Workspace(verbosity=0)
self.setup_workspace()
def setup_workspace(self):
ws = self.ws
ws.atmosphere_dim = 1
ws.p_grid = np.linspace(1e5, 1e3, 21)
ws.Touch(ws.lat_grid)
ws.Touch(ws.lon_grid)
ws.f_grid = 183.0e9 * np.ones(1)
ws.stokes_dim = 1
ws.sensor_los = 180.0 * np.ones((1, 1))
ws.sensor_pos = 830e3 * np.ones((1, 1))
ws.sensorOff()
def test_index_transfer(self):
"""
Create and set Index WSV.
"""
self.ws.IndexCreate("index_variable")
i = np.random.randint(0, 100)
self.ws.index_variable = i
assert self.ws.index_variable.value == i
def test_string_transfer(self):
"""
Create and set String WSV.
"""
self.ws.StringCreate("string_variable")
s = "some random string."
self.ws.string_variable = s
assert self.ws.string_variable.value == s
def test_array_of_index_transfer(self):
"""
Create and set ArrayOfIndex WSV.
"""
self.ws.ArrayOfIndexCreate("array_of_index_variable")
i = [np.random.randint(0, 100) for j in range(10)]
self.ws.array_of_index_variable = i
assert self.ws.array_of_index_variable.value == i
self.ws.array_of_index_variable = []
assert self.ws.array_of_index_variable.value == []
def test_array_of_vector_transfer(self):
"""
Create and set ArrayOfVector WSV.
"""
self.ws.ArrayOfVectorCreate("array_of_vector_variable")
aov = pyarts.xml.load(
os.path.join(self.dir, "../xml/reference/arrayofvector.xml"))
self.ws.array_of_vector_variable = aov
assert self.ws.array_of_vector_variable.value == aov
def test_vector_transfer(self):
"""
Create and set Vector WSV.
"""
self.ws.VectorCreate("vector_variable")
v = np.random.rand(10)
self.ws.vector_variable = v
assert all(self.ws.vector_variable.value == v)
def test_matrix_transfer(self):
"""
Create and set Matrix WSV.
"""
self.ws.MatrixCreate("matrix_variable")
m = np.random.rand(10, 10)
self.ws.matrix_variable = m
assert all(self.ws.matrix_variable.value.ravel() == m.ravel())
def test_sparse_transfer(self):
"""
Create and set Sparse WSV.
"""
n = 100
d2 = np.ones(n - 2)
d1 = np.ones(n - 1)
d = np.ones(n)
m = sp.sparse.diags(diagonals=[d2, d1, d, d1, d2],
offsets=[2, 1, 0, -1, -2])
self.ws.sensor_response = m
assert np.all(m.toarray() == self.ws.sensor_response.value.toarray())
def test_tensor_3(self):
"""
Create and set Tensor3 variable.
"""
t_0 = np.random.rand(*([3] * 3))
self.ws.Tensor3Create("tensor_3")
self.ws.tensor_3 = t_0
assert np.all(t_0 == self.ws.tensor_3.value)
def test_tensor_4(self):
"""
Create and set Tensor4 variable.
"""
t_0 = np.random.rand(*([3] * 4))
t_1 = self.ws.Tensor4Create("tensor_4")
self.ws.tensor_4 = t_0
assert np.all(t_0 == self.ws.tensor_4.value)
def test_tensor_5(self):
"""
Create and set Tensor5 variable.
"""
t_0 = np.random.rand(*([3] * 5))
t_1 = self.ws.Tensor5Create("tensor_5")
self.ws.tensor_5 = t_0
assert np.all(t_0 == self.ws.tensor_5.value)
def test_tensor_6(self):
"""
Create and set Tensor6 variable.
"""
t_0 = np.random.rand(*([3] * 6))
t_1 = self.ws.Tensor6Create("tensor_6")
self.ws.tensor_6 = t_0
assert np.all(t_0 == self.ws.tensor_6.value)
def test_tensor_7(self):
"""
Create and set Tensor7 variable.
"""
t_0 = np.random.rand(*([3] * 7))
self.ws.Tensor7Create("tensor_7")
self.ws.tensor_7 = t_0
assert np.all(t_0 == self.ws.tensor_7.value)
def test_time(self):
"""
Create and set Time variable.
"""
times = ["2020-01-02 03:04:05", "2021-02-03 04:05:06"]
self.ws.ArrayOfTimeCreate("time_1")
self.ws.ArrayOfTimeNLinSpace(self.ws.time_1, 2, times[0], times[1])
assert (times[0] == str(self.ws.time_1.value[0])[0:19]
and times[1] == str(self.ws.time_1.value[1])[0:19])
def test_creation(self):
"""
Test creation of WSVs.
"""
self.ws.ArrayOfIndexCreate("array_of_index")
self.ws.ArrayOfIndexCreate("array_of_index")
with pytest.raises(Exception):
self.ws.VectorCreate("array_of_index")
def test_covariance_matrix(self):
"""
Test manipulation of CorvarianceMatrix objects.
"""
ws = self.ws
ws.jacobianInit()
ws.jacobianAddAbsSpecies(species="O3",
g1=ws.p_grid,
g2=ws.lat_grid,
g3=ws.lon_grid)
ws.jacobianAddAbsSpecies(species="H2O",
g1=ws.p_grid,
g2=ws.lat_grid,
g3=ws.lon_grid)
ws.jacobianClose()
ws.covmatDiagonal(out=ws.covmat_block,
out_inverse=ws.covmat_block,
vars=10.0 * np.ones(ws.p_grid.value.size))
ws.covmat_sxAddBlock(block=ws.covmat_block)
ws.covmatDiagonal(out=ws.covmat_block,
out_inverse=ws.covmat_block,
vars=20.0 * np.ones(ws.p_grid.value.size))
ws.covmat_sxAddBlock(block=ws.covmat_block)
def test_variable_creation(self):
"""
Test creation of named and unnambed WSVs.
"""
# Unnamed variable
wsv = self.ws.create_variable("Matrix", None)
self.ws.__setattr__(wsv.name, np.eye(5))
assert np.all(
np.isclose(np.eye(5),
self.ws.__getattr__(wsv.name).value))
# Named variable
wsv = self.ws.create_variable("Matrix", "matrix_wsv")
self.ws.matrix_wsv = np.eye(5)
assert np.all(np.isclose(np.eye(5), self.ws.matrix_wsv.value))
def test_variable_set_empty(self):
"""
Test initialization of workspace variables.
"""
self.ws.f_grid = np.array([94e9])
self.ws.f_grid = []
assert self.ws.f_grid.value.size == 0
def test_variable_create(self):
"""
Test initialization of workspace variables.
"""
self.ws = Workspace()
self.ws.IndexCreate("myindex")
with pytest.raises(Exception):
print(self.ws.myindex.value)
def test_convert(self):
"""
Test automatic conversion of Python types.
"""
v = WorkspaceVariable.convert("Index", 1.2)
assert (v == 1)
v = WorkspaceVariable.convert("String", "string")
assert (v == "string")
v = WorkspaceVariable.convert("Numeric", 1)
assert (type(v) == np.float64)
v = WorkspaceVariable.convert("Vector", 1.0)
assert (v.shape == (1, ))
v = WorkspaceVariable.convert("Matrix", 1.0)
assert (v.shape == (1, 1))
v = WorkspaceVariable.convert("Tensor3", 1.0)
assert (v.shape == (1, 1, 1))
v = WorkspaceVariable.convert("Tensor6", 1.0)
assert (v.shape == (1, 1, 1, 1, 1, 1))
v = WorkspaceVariable.convert("ArrayOfArrayOfIndex", 1.0)
assert (type(v) == list)
assert (type(v[0]) == list)
assert (type(v[0][0]) == int)
v = WorkspaceVariable.convert("ArrayOfArrayOfIndex", 1)
return v
"""
This method should run the tests that are required before the model
can be used in a simulation.
Args:
workspace: The pyarts.workspace.Workspace in which the simulations are
performed.
"""
pass
################################################################################
# Tessem
################################################################################
#TODO: Need elegant system for on demand WSVs.
telsem_salinity = ws.create_variable("Numeric", None)
telsem_windspeed = ws.create_variable("Numeric", None)
class Tessem(Surface,
ArtsObject):
"""
This class represents the " Tool to Estimate Sea‐Surface Emissivity from
Microwaves to sub‐Millimeter waves" (TESSEM). It is a parametrization for
the emissivity of sea surfaces that uses two neural networks to predict the
emissivity.
"""
def __init__(self,
tessem_net_h = "testdata/tessem_sav_net_H.txt",
tessem_net_v = "testdata/tessem_sav_net_V.txt",
salinity = 0.034,
from math import isclose
from pyarts.workspace import Workspace
from pyarts.classes.Time import Time
from pyarts.classes import from_workspace
ws = Workspace()
ws.create_variable("Time", "start")
ws.create_variable("Time", "end")
ws.create_variable("Time", "time")
ws.create_variable("Numeric", "dt")
start_time = from_workspace(ws.start)
end_time = from_workspace(ws.end)
cur_time = from_workspace(ws.time)
dt = from_workspace(ws.dt)
# Test Now and Sleep
ws.timeNow(ws.start)
ws.Sleep(1)
ws.timeNow(ws.end)
ws.Duration(ws.dt, ws.start, ws.end)
assert dt >= 1, \
f"Slept for one second but duration was less: {float(dt):.3f} s"
# Test SleepUntil
ws.timeNow(ws.start)
end_time.sec = start_time.sec + 1
ws.timeSleep(ws.end)
ws.timeNow(ws.time)
duration = cur_time.sec - start_time.sec
assert duration >= 1, \
