def test_inverse_meridional_case2(self):
# Test a few difficult cases that arose during development
az, baz, _ = LonLatWGS84.inverse(100, 8, -80, 8)
self.assertAlmostEqual(az, 0.0)
self.assertAlmostEqual(baz, 0.0)
az, baz, _ = LonLatWGS84.inverse(-15, 86, 165, 86)
self.assertAlmostEqual(az, 0.0)
self.assertAlmostEqual(baz, 0.0)
az, baz, _ = LonLatWGS84.inverse(-139, -23, 41, -23)
self.assertAlmostEqual(az, 180.0)
self.assertAlmostEqual(baz, 180.0)
def test_inverse_meridional_case2(self):
# Test a few difficult cases that arose during development
az, baz, _ = LonLatWGS84.inverse(100, 8, -80, 8)
self.assertAlmostEqual(az, 0.0)
self.assertAlmostEqual(baz, 0.0)
az, baz, _ = LonLatWGS84.inverse(-15, 86, 165, 86)
self.assertAlmostEqual(az, 0.0)
self.assertAlmostEqual(baz, 0.0)
az, baz, _ = LonLatWGS84.inverse(-139, -23, 41, -23)
self.assertAlmostEqual(az, 180.0)
self.assertAlmostEqual(baz, 180.0)
def test_inverse(self):
phi1 = -30
phi2 = 29.9
lambda12 = 179.8
az, backaz, dist = LonLatWGS84.inverse(0.0, phi1, lambda12, phi2)
self.assertAlmostEqual(az, 161.890524, places=5)
self.assertAlmostEqual(dist, 19989832.827610, places=3) # accurate to mm
return
def test_inverse(self):
phi1 = -30
phi2 = 29.9
lambda12 = 179.8
az, backaz, dist = LonLatWGS84.inverse(0.0, phi1, lambda12, phi2)
self.assertAlmostEqual(az, 161.890524, places=5)
self.assertAlmostEqual(dist, 19989832.827610,
places=3) # accurate to mm
return
def test_inverse_fuzz(self):
def nl(x):
return (round(x, 8)+180) % 360 - 180
curpath = os.path.split(os.path.realpath(__file__))[0]
datapath = os.path.join(curpath, "data", "geodetic_data.dat")
data = np.fromfile(datapath).reshape([10000, 7])
for i in range(data.shape[0]):
x1, x2, y1, y2, azd, bazd, dd = data[i,:]
az, baz, d = LonLatWGS84.inverse(x1, y1, x2, y2)
self.assertAlmostEqual(nl(az), nl(azd))
self.assertAlmostEqual(nl(baz), nl(bazd))
self.assertAlmostEqual(d, dd, places=2) # expects cm accuracy
return
def test_inverse_fuzz(self):
def nl(x):
return (round(x, 8) + 180) % 360 - 180
curpath = os.path.split(os.path.realpath(__file__))[0]
datapath = os.path.join(curpath, "data", "geodetic_data.dat")
data = np.fromfile(datapath).reshape([10000, 7])
for i in range(data.shape[0]):
x1, x2, y1, y2, azd, bazd, dd = data[i, :]
az, baz, d = LonLatWGS84.inverse(x1, y1, x2, y2)
self.assertAlmostEqual(nl(az), nl(azd))
self.assertAlmostEqual(nl(baz), nl(bazd))
self.assertAlmostEqual(d, dd, places=2) # expects cm accuracy
return
