def test_losint():
pytest.importorskip('pytest', minversion='3.5')
az = [0., 10., 125.]
lat, lon, sr = pm.lookAtSpheroid(*lla0, az, tilt=0.)
assert (lat[0] == lat).all() and (lon[0] == lon).all() and (sr[0]
== sr).all()
assert (lat[0], lon[0], sr[0]) == approx(lla0)
with pytest.raises(ValueError):
pm.lookAtSpheroid(lla0[0], lla0[1], -1, az, 0)
# %%
tilt = [30., 45., 90.]
lat, lon, sr = pm.lookAtSpheroid(*lla0, az, tilt)
truth = np.array([[42.00103959, lla0[1], 230.9413173],
[42.00177328, -81.9995808, 282.84715651],
[nan, nan, nan]])
assert np.column_stack((lat, lon, sr)) == approx(truth, nan_ok=True)
def test_losint():
lat, lon, sr = pm.lookAtSpheroid(*lla0, az[1], tilt=0.0)
assert (lat, lon, sr) == approx(lla0)
with pytest.raises(ValueError):
pm.lookAtSpheroid(lla0[0], lla0[1], -1, az, 0)
def test_array():
np = pytest.importorskip("numpy")
tilt = [30.0, 45.0, 90.0]
lat, lon, sr = pm.lookAtSpheroid(*lla0, az, tilt)
truth = np.array([[42.00103959, lla0[1], 230.9413173],
[42.00177328, -81.9995808, 282.84715651],
[nan, nan, nan]])
assert np.column_stack((lat, lon, sr)) == approx(truth, nan_ok=True)
def test_losint():
az = [0., 10., 125.]
lat, lon, sr = pm.lookAtSpheroid(*lla0, az, tilt=0.)
assert (lat[0] == lat).all() and (lon[0] == lon).all() and (sr[0] == sr).all()
assert (lat[0], lon[0], sr[0]) == approx(lla0)
with pytest.raises(ValueError):
pm.lookAtSpheroid(lla0[0], lla0[1], -1, az, 0)
# %%
tilt = [30., 45., 90.]
lat, lon, sr = pm.lookAtSpheroid(*lla0, az, tilt)
truth = np.array([[42.00103959, lla0[1], 230.9413173],
[42.00177328, -81.9995808, 282.84715651],
[nan, nan, nan]])
assert np.column_stack((lat, lon, sr)) == approx(truth, nan_ok=True)
def test_losint(az, tilt, lat, lon, sr):
lla0 = (10, -20, 1e3)
lat1, lon1, sr1 = pm.lookAtSpheroid(*lla0, az, tilt=tilt)
nan_ok = True if tilt == 90 else False
assert lat1 == approx(lat, nan_ok=nan_ok)
assert lon1 == approx(lon, nan_ok=nan_ok)
assert sr1 == approx(sr, nan_ok=nan_ok)
assert isinstance(lat1, float)
assert isinstance(lon1, float)
assert isinstance(sr1, float)
def check_swath(out_path, track_list, sensor_angle, altitude_m):
"""
Compute individual sensor cones by intersecting line of sight with Earth at random track points. Only use to check
that get_sensor_swath is working correctly
"""
check_az = np.arange(0, 360, 5)
check_list = []
# pick 3 points from each path and check swath with pymap
for track in track_list:
for _ in range(3):
lonlat = random.choice(track)
check = []
for az in check_az:
lat, lon, _ = pymap3d.lookAtSpheroid(lonlat[1], lonlat[0], altitude_m, az, sensor_angle)
check.append([lon[()], lat[()]])
check_list.append(check)
write_track_geojson(out_path, check_list, {"test": "test"})
def test_badval():
with pytest.raises(ValueError):
pm.lookAtSpheroid(0, 0, -1, 0, 0)
