class TestData():
def __init__(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(self.p, temp=self.temp, sal=self.sal, date=dt)
self.ctd = CTDCast(self.p, temp=self.temp, sal=self.sal, date=dt)
self.ctdz = CTDCast(self.p, temp=self.temp, sal=self.sal, date=dt)
self.xbt = XBTCast(self.p, temp=self.temp, sal=self.sal, date=dt)
self.collection = CastCollection(self.ctd, self.xbt, self.ctd)
return
def save_nwl(self):
self.cast.save("data/reference_cast_test.nwl", binary=False)
self.ctd.save("data/reference_ctd_test.nwl", binary=False)
self.ctdz.save("data/reference_ctdz_test.nwl", binary=False)
self.xbt.save("data/reference_xbt_test.nwl", binary=False)
self.collection.save("data/reference_coll_test.nwl", binary=False)
def save_nwz(self):
self.cast.save("data/reference_cast_test.nwz")
self.ctd.save("data/reference_ctd_test.nwz")
self.ctdz.save("data/reference_ctdz_test.nwz")
self.xbt.save("data/reference_xbt_test.nwz")
self.collection.save("data/reference_coll_test.nwz")
def test_add_to_castcollection(self):
cc = CastCollection(
Cast(P=np.arange(100), T=np.random.rand(100), S=np.random.rand(100),
coordinates=(-17.42, 80.09)),
Cast(P=np.arange(100), T=np.random.rand(100), S=np.random.rand(100),
coordinates=(-17.426, 80.112)),
Cast(P=np.arange(100), T=np.random.rand(100), S=np.random.rand(100),
coordinates=(-17.45, 80.16)))
cc.add_bathymetry(self.bathymetry)
correctresult = np.array([92.93171145156435, 123.1639348135739, 150.2982311721252])
depths = [c.properties["depth"] for c in cc]
self.assertTrue(np.allclose(depths, correctresult))
return
def __init__(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.collection = CastCollection(self.cast, self.cast, self.cast)
self.path = join(split(realpath(__file__))[0], "data")
return
def test_add_to_castcollection(self):
cc = CastCollection(
Cast(np.arange(100), T=np.random.rand(100), S=np.random.rand(100),
coords=(-17.42, 80.09)),
Cast(np.arange(100), T=np.random.rand(100), S=np.random.rand(100),
coords=(-17.426, 80.112)),
Cast(np.arange(100), T=np.random.rand(100), S=np.random.rand(100),
coords=(-17.45, 80.16)))
cc.add_bathymetry(self.bathymetry)
correctresult = np.array([92.61373822294766, 123.15924954803165,
150.24992416068667])
depths = [c.properties["depth"] for c in cc]
self.assertTrue(np.allclose(depths, correctresult))
return
def test_count_casts(self):
castlikes = [
AbstractCast(),
AbstractCast(),
CastCollection([AbstractCast(), AbstractCast()]),
AbstractCast()
]
self.assertEqual(count_casts(castlikes), 5)
return
def test_add_to_castcollection(self):
cc = CastCollection(
Cast(P=np.arange(100),
T=np.random.rand(100),
S=np.random.rand(100),
coordinates=(-17.42, 80.09)),
Cast(P=np.arange(100),
T=np.random.rand(100),
S=np.random.rand(100),
coordinates=(-17.426, 80.112)),
Cast(P=np.arange(100),
T=np.random.rand(100),
S=np.random.rand(100),
coordinates=(-17.45, 80.16)))
cc.add_bathymetry(self.bathymetry)
correctresult = np.array(
[92.93171145156435, 123.1639348135739, 150.2982311721252])
depths = [c.properties["depth"] for c in cc]
self.assertTrue(np.allclose(depths, correctresult))
return
class TestData():
def __init__(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.collection = CastCollection(self.cast, self.cast, self.cast)
self.path = join(split(realpath(__file__))[0], "data")
return
def save_nwl(self):
self.cast.save_json(join(self.path, "reference_cast_test.nwl"),
binary=False)
self.collection.save_json(join(self.path, "reference_coll_test.nwl"),
binary=False)
def save_nwz(self):
self.cast.save_json(join(self.path, "reference_cast_test.nwz"))
self.collection.save_json(join(self.path, "reference_coll_test.nwz"))
def save_hdf(self):
self.cast.save_hdf(join(self.path, "reference_cast_test.h5"))
self.collection.save_hdf(join(self.path, "reference_coll_test.h5"))
class TestData():
def __init__(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.collection = CastCollection(self.cast, self.cast, self.cast)
self.path = join(split(realpath(__file__))[0], "data")
return
def save_nwl(self):
self.cast.save_json(join(self.path, "reference_cast_test.nwl"), binary=False)
self.collection.save_json(join(self.path, "reference_coll_test.nwl"), binary=False)
def save_nwz(self):
self.cast.save_json(join(self.path, "reference_cast_test.nwz"))
self.collection.save_json(join(self.path, "reference_coll_test.nwz"))
def save_hdf(self):
self.cast.save_hdf(join(self.path, "reference_cast_test.h5"))
self.collection.save_hdf(join(self.path, "reference_coll_test.h5"))
def __init__(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.collection = CastCollection(self.cast, self.cast, self.cast)
self.path = join(split(realpath(__file__))[0], "data")
return
def __init__(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(self.p, temp=self.temp, sal=self.sal, date=dt)
self.ctd = CTDCast(self.p, temp=self.temp, sal=self.sal, date=dt)
self.ctdz = CTDCast(self.p, temp=self.temp, sal=self.sal, date=dt)
self.xbt = XBTCast(self.p, temp=self.temp, sal=self.sal, date=dt)
self.collection = CastCollection(self.ctd, self.xbt, self.ctd)
return
