def setUp(self):
p = np.arange(1, 1001, 2)
temp = 10. * np.exp(-.008*p) - 15. * np.exp(-0.005*(p+100)) + 2.
sal = -14. * np.exp(-.01*p) + 34.
self.p = p
self.temp = temp
self.sal = sal
dt = datetime.datetime(1993, 8, 18, 14, 42, 36)
self.cast = Cast(pres=self.p, temp=self.temp, sal=self.sal, date=dt)
self.ctd = CTDCast(self.p, self.sal, self.temp, date=dt)
self.collection = CastCollection(self.ctd, self.ctd)
return
def setUp(self):
p = np.linspace(1, 999, 500)
casts = []
for i in range(10):
cast = Cast(pres=p,
temp=2 * np.ones_like(p),
sal=30 * np.ones_like(p),
station=i,
val=abs(i - 5),
uniq_val=-i**2)
casts.append(cast)
self.cc = CastCollection(casts)
return
def test_defray(self):
lengths = np.arange(50, 71)
casts = []
for n in lengths:
p = np.r_[np.arange(0, 250, 5),
np.arange(250, 250 + 5 * (n - 50), 5)]
t = np.ones(n) * 10.0
s = np.ones(n) * 34.0
cast = Cast(pres=p, temp=t, sal=s)
casts.append(cast)
defrayed_casts = CastCollection(casts).defray()
for cast in defrayed_casts:
self.assertEqual(len(cast), 70)
return
def test_nearest_to(self):
casts = []
for i in range(10):
casts.append(
Cast(pressure=[1, 2, 3],
temperature=[5, 6, 7],
coordinates=(-30.0 + i, 10.0 - 2 * i)))
cc = CastCollection(casts)
pt = Point((-26.2, 2.1), crs=LonLatWGS84)
nearest, dist = cc.nearest_to_point(pt)
self.assertEqual(nearest.coordinates.vertex, (-26.0, 2.0))
self.assertAlmostEqual(dist, 24845.9422, places=4)
return
def test_eofs(self):
pres = np.arange(1, 300)
casts = [
Cast(depth=np.arange(1, 300), theta=np.sin(pres * i * np.pi / 300))
for i in range(3)
]
cc = CastCollection(casts)
structures, lamb, eofs = narwhal.analysis.eofs(cc, key="theta")
self.assertAlmostEqual(np.mean(np.abs(structures["theta_eof1"])),
0.634719360307)
self.assertAlmostEqual(np.mean(np.abs(structures["theta_eof2"])),
0.363733575635)
self.assertAlmostEqual(np.mean(np.abs(structures["theta_eof3"])),
0.350665870142)
self.assertTrue(
np.allclose(lamb, [87.27018523, 40.37800904, 2.02016724]))
return
def test_castswhere_onearg(self):
cc = self.cc
self.assertEqual(cc.castswhere("station", 5), CastCollection(cc[5]))
return
