def test_write_to_txt(self):
tks = [[1, 2, 0], [2, 0], [5, 0], [1, 0]]
vps = [[300, 400, 500], [300, 600], [600, 1000], [800, 1000]]
vss = [[100, 200, 300], [200, 300], [300, 500], [400, 600]]
rhs = [[2000] * 3, [2000] * 2, [2000] * 2, [2000] * 2]
ids = [1, 2, 3]
misfits = [1, 0.5, 0.3]
gm = swprepost.GroundModel(tks[0],
vps[0],
vss[0],
rhs[0],
identifier=ids[0],
misfit=misfits[0])
suite = swprepost.GroundModelSuite(gm)
for tk, vs, vp, rh, cid, ms in zip(tks[1:], vss[1:], vps[1:], rhs[1:],
ids[1:], misfits[1:]):
gm = swprepost.GroundModel(tk,
vp,
vs,
rh,
identifier=cid,
misfit=ms)
suite.append(gm)
fname = "text.txt"
suite.write_to_txt(fname)
mysuite = swprepost.GroundModelSuite.from_geopsy(fname)
for gm_a, gm_b in zip(suite.gms, mysuite.gms):
self.assertEqual(gm_a, gm_b)
os.remove(fname)
def test_gm2(self):
# Simple Test
tk1 = [5, 0]
vp1 = [200, 250]
vs1 = [100, 125]
rh1 = [2000] * 2
mygm = swprepost.GroundModel(thickness=tk1,
vp=vp1,
vs=vs1,
density=rh1)
self.assertListEqual([0, 5, 5, 9999.0], mygm.depth)
self.assertListEqual([200, 200, 250, 250], mygm.vp2)
self.assertListEqual([100, 100, 125, 125], mygm.vs2)
self.assertListEqual([2000] * 4, mygm.rh2)
# Setup
thks = [1, 3, 5, 7, 0]
vss = [100, 300, 500, 700, 900]
vps = [200, 600, 1000, 1400, 1800]
rho = [2000] * 5
mygm = swprepost.GroundModel(thks, vps, vss, rho)
depth2 = mygm.gm2(parameter="depth")
vp2 = mygm.gm2(parameter="vp")
vs2 = mygm.gm2(parameter="vs")
rho2 = mygm.gm2(parameter="rh")
# True
depth2_true = [0, 1, 1, 4, 4, 9, 9, 16, 16, 9999.]
vs2_true = [100, 100, 300, 300, 500, 500, 700, 700, 900, 900]
vp2_true = [200, 200, 600, 600, 1000, 1000, 1400, 1400, 1800, 1800]
rho2_true = rho + rho
# Different way to get to the same value
deptha = mygm.depth
vp2a = mygm.vp2
vs2a = mygm.vs2
rho2a = mygm.rh2
# Check two lists are indeed the same
self.assertListEqual(depth2, deptha)
self.assertListEqual(vp2, vp2a)
self.assertListEqual(vs2, vs2a)
self.assertListEqual(rho2, rho2a)
# Go value by value
returned_vals = [depth2, vp2, vs2, rho2]
expected_vals = [depth2_true, vp2_true, vs2_true, rho2_true]
for expected, returned in zip(expected_vals, returned_vals):
self.assertListAlmostEqual(expected, returned)
# Check Poisson's Ratio
returned = mygm.pr2
expected = swprepost.GroundModel.calc_pr(vp2, vs2)
self.assertListEqual(expected, returned)
def test_init(self):
# List
thk = [1, 5, 3.3, 10]
vps = [300, 450, 1500.1, 2000.1]
vss = [100, 150, 201., 300]
rho = [2000, 3000, 2250., 2300.]
mygm = swprepost.GroundModel(thickness=thk,
vp=vps,
vs=vss,
density=rho)
self.assertListEqual(mygm.tk, thk)
self.assertListEqual(mygm.vp, vps)
self.assertListEqual(mygm.vs, vss)
self.assertListEqual(mygm.rh, rho)
# ndarray
thk = np.array([1, 5, 3.3, 10])
vps = np.array([300, 450, 1500.1, 2000.1])
vss = np.array([100, 150, 201., 300])
rho = np.array([2000, 3000, 2250., 2300.])
mygm = swprepost.GroundModel(thickness=thk,
vp=vps,
vs=vss,
density=rho)
self.assertListEqual(thk.tolist(), mygm.tk)
self.assertListEqual(vps.tolist(), mygm.vp)
self.assertListEqual(vss.tolist(), mygm.vs)
self.assertListEqual(rho.tolist(), mygm.rh)
# Bad Type
x = ["this", "that", "these", "those"]
self.assertRaises(TypeError, swprepost.GroundModel, x, x, x, x)
# Bad Value - Less than zero
x = [-1] * 3
self.assertRaises(ValueError, swprepost.GroundModel, x, x, x, x)
# Bad Value - Length
x = [1] * 3
y = [1] * 4
self.assertRaises(ValueError, swprepost.GroundModel, x, x, x, y)
# Bad Value - Vp < Vs
tk = [1] * 2
vp = [100, 200]
vs = [200, 300]
rh = [2000] * 2
self.assertRaises(ValueError, swprepost.GroundModel, tk, vp, vs, rh)
def test_from_array(self):
tks = np.array([[1, 2, 3], [0, 0, 0]])
vps = np.array([[100, 200, 300], [200, 400, 600]])
vss = np.array([[50, 75, 100], [100, 200, 300]])
rhs = np.array([[2000, 2200, 2250], [2100, 2300, 2300]])
misfits = np.array([1., 2., 3.])
ids = np.array([2, 7, 9])
gms = []
for col in range(tks.shape[1]):
gm = swprepost.GroundModel(tks[:, col],
vps[:, col],
vss[:, col],
rhs[:, col],
identifier=ids[col],
misfit=misfits[col])
gms.append(gm)
suite = swprepost.GroundModelSuite.from_array(tks, vps, vss, rhs, ids,
misfits)
for expected, returned in zip(gms, suite):
self.assertEqual(expected, returned)
self.assertListEqual(misfits.tolist(), suite.misfits)
self.assertListEqual(ids.tolist(), suite.identifiers)
def test_median(self):
tks = [[1, 5, 0], [2, 4, 0], [5, 10, 0]]
vss = [[100, 200, 300], [150, 275, 315], [100, 300, 200]]
vps = [[300, 500, 350], [600, 700, 800], [300, 1000, 400]]
rhs = [[2000] * 3, [2300] * 3, [2200] * 3]
gm = swprepost.GroundModel(tks[0], vps[0], vss[0], rhs[0])
suite = swprepost.GroundModelSuite(gm)
for tk, vs, vp, rh in zip(tks[1:], vss[1:], vps[1:], rhs[1:]):
gm = swprepost.GroundModel(tk, vp, vs, rh)
suite.append(gm)
calc_med_gm = suite.median(nbest=3)
med_tks = [2., 5., 0.]
med_vss = [100., 275., 300.]
med_vps = [300., 700., 400.]
med_rhs = [2200.] * 3
med_gm = swprepost.GroundModel(med_tks, med_vps, med_vss, med_rhs)
self.assertTrue(med_gm == calc_med_gm)
def test_str_and_repr(self):
tk = [1, 2, 0]
vp = [100, 200, 300]
vs = [50, 100, 150]
rh = [2000] * 3
gm = swprepost.GroundModel(tk, vp, vs, rh)
# str
self.assertEqual(gm.txt_repr, gm.__str__())
# repr
expected = f"GroundModel(thickness={gm.tk}, vp={gm.vp}, vs={gm.vs}, density={gm.rh})"
self.assertEqual(expected, gm.__repr__())
def test_properties(self):
tk = [1, 2, 0]
vp = [100, 200, 300]
vs = [50, 100, 150]
rh = [2000] * 3
gm = swprepost.GroundModel(tk, vp, vs, rh)
self.assertListEqual(tk, gm.thickness)
self.assertListEqual(vp, gm.vp)
self.assertListEqual(vs, gm.vs)
self.assertListEqual(rh, gm.density)
def make_gm(v, gm_dict):
for key, value in gm_dict.items():
setattr(cls, key + v, value)
setattr(
cls, "gm" + v,
swprepost.GroundModel(
*[gm_dict[attr] for attr in ["tk", "vp", "vs", "rh"]], **{
key: gm_dict[attr]
for key, attr in zip(["identifier", "misfit"],
["id", "mf"])
}))
def test_write_to_txt(self):
tk = [2, 4, 0]
vp = [100, 200, 300]
vs = [50, 100, 200]
rh = [2000] * 3
expected = swprepost.GroundModel(tk, vp, vs, rh)
fname = "test_write_to_txt"
expected.write_to_txt(fname)
returned = swprepost.GroundModel.from_geopsy(fname)
self.assertEqual(expected, returned)
os.remove(fname)
def test_equal(self):
tk = [1, 2, 0]
vp = [100, 200, 300]
vs = [50, 100, 150]
rh = [2000] * 3
gm_a = swprepost.GroundModel(tk, vp, vs, rh)
# Equal
gm_b = swprepost.GroundModel(tk, vp, vs, rh)
self.assertEqual(gm_a, gm_b)
# Not Equal - Wrong Length
x = [1, 2]
y = [2, 4]
gm_b = swprepost.GroundModel(x, y, x, x)
self.assertNotEqual(gm_a, gm_b)
# Not Equal - Wrong Value
x = [1, 2, 3]
y = [2, 4, 6]
gm_b = swprepost.GroundModel(x, y, x, x)
self.assertNotEqual(gm_a, gm_b)
def test_sigma_ln(self):
tk = [1, 5, 0]
vss = [[100, 200, 300], [150, 275, 315], [100, 300, 200]]
vp = [200, 400, 600]
rh = [2000] * 3
gm = swprepost.GroundModel(tk, vp, vss[0], rh)
suite = swprepost.GroundModelSuite(gm)
for vs in vss[1:]:
gm = swprepost.GroundModel(tk, vp, vs, rh)
suite.append(gm)
dmax = 10
dy = 0.5
depth, sigln = suite.sigma_ln(nbest=3,
dmax=dmax,
dy=dy,
parameter='vs')
self.assertListEqual(depth, list(np.arange(0, dmax + dy, dy)))
self.assertListEqual(sigln,
([np.std(np.log([100, 150, 100]), ddof=1)] * 3 +
[np.std(np.log([200, 275, 300]), ddof=1)] * 10 +
[np.std(np.log([300, 315, 200]), ddof=1)] * 8))
def test_write_to_mat(self):
thick = [5., 5., 10., 10., 50., 0.]
vp = [1500.] * len(thick)
vs = [100., 200., 300., 400., 500., 600.]
density = [2000.] * len(thick)
mygm = swprepost.GroundModel(thick, vp, vs, density)
fname = "test"
mygm.write_to_mat(fname)
data = loadmat(fname)
self.assertListEqual(data["thickness"].tolist()[0], thick)
self.assertListEqual(data["vp1"].tolist()[0], vp)
self.assertListEqual(data["vs1"].tolist()[0], vs)
self.assertListEqual(data["rho1"].tolist()[0], density)
os.remove(f"{fname}.mat")
def test_vs30(self):
# nbest="all"
thk = [5, 20, 0]
vps = [300, 600, 800]
vss = [150, 300, 400]
rho = [2000] * 3
gm = swprepost.GroundModel(thk, vps, vss, rho)
suite = swprepost.GroundModelSuite(gm)
for _ in range(5):
suite.append(gm)
self.assertListEqual(suite.vs30(), [266.6666666666666666666] * 6)
# nbest=3
self.assertListEqual(suite.vs30(nbest=3),
[266.6666666666666666666] * 3)
def test_init(self):
# One GroundModel
gm = swprepost.GroundModel(self.tk_0,
self.vp_0,
self.vs_0,
self.rh_0,
identifier=self.id_0,
misfit=self.mf_0)
returned = swprepost.GroundModelSuite(gm)
expected = swprepost.GroundModelSuite(self.gm_0)
self.assertEqual(expected, returned)
# Bad Value - Wrong Type
gm = ["GroundModel"]
self.assertRaises(TypeError, swprepost.GroundModelSuite, gm)
def test_str(self):
x = [1, 2, 3]
y = [2, 4, 5]
gm = swprepost.GroundModel(x, y, x, x)
suite = swprepost.GroundModelSuite(gm)
for _ in range(3):
suite.append(gm)
expected = "GroundModelSuite with 4 GroundModels."
returned = suite.__str__()
self.assertEqual(expected, returned)
# TODO (jpv): Add a more serious test for slice get_item
suite = suite[1:3]
expected = "GroundModelSuite with 2 GroundModels."
returned = suite.__str__()
self.assertEqual(expected, returned)
def test_vs30(self):
# One thick layer
thick = [50, 0]
vp = [600] * len(thick)
vs = [100, 100]
density = [0] * len(thick)
test_val = swprepost.GroundModel(thick, vp, vs, density).vs30
know_val = 100
self.assertEqual(test_val, know_val)
# Two layers, same velocity
thick = [15, 15, 0]
vp = [600] * len(thick)
vs = [100, 100, 0]
density = [0] * len(thick)
test_val = swprepost.GroundModel(thick, vp, vs, density).vs30
know_val = 100
self.assertEqual(test_val, know_val)
# One layer, exactly 30m
thick = [30, 0]
vp = [600] * len(thick)
vs = [100, 200]
density = [0] * len(thick)
test_val = swprepost.GroundModel(thick, vp, vs, density).vs30
know_val = 100
self.assertEqual(test_val, know_val)
# Two layers, exactly 30m
thick = [15, 15, 0]
vp = [600] * len(thick)
vs = [100, 200, 300]
density = [0] * len(thick)
test_val = swprepost.GroundModel(thick, vp, vs, density).vs30
know_val = 133.33
self.assertAlmostEqual(test_val, know_val, places=2)
# Two layers, less than 30m
thick = [5, 10, 0]
vp = [600] * len(thick)
vs = [100, 200, 300]
density = [0] * len(thick)
test_val = swprepost.GroundModel(thick, vp, vs, density).vs30
know_val = 200.
self.assertAlmostEqual(test_val, know_val, places=2)
# Two layers, less than 30m, with velocity reversal
thick = [10, 10, 0]
vp = [600] * len(thick)
vs = [200, 50, 300]
density = [0] * len(thick)
test_val = swprepost.GroundModel(thick, vp, vs, density).vs30
know_val = 105.88
self.assertAlmostEqual(test_val, know_val, places=2)
def setUpClass(self):
# GroundModelSuite
tk = [1, 2, 3]
vs = [100, 200, 300]
vp = [200, 400, 600]
rh = [2000] * 3
gms = []
for _id, _mf in enumerate(
[0.5, 0.8, 1, 0.3, 0.4, 0.6, 0.7, 0.1, 0.2, 0.1]):
gms.append(
swprepost.GroundModel(tk,
vp,
vs,
rh,
identifier=_id,
misfit=_mf))
self.gm_suite = swprepost.GroundModelSuite.from_list(gms)
def test_simplify(self):
tk = [1, 3, 1, 5, 0]
vp = [200, 200, 500, 500, 600]
vs = [100, 100, 100, 300, 300]
rh = [2000] * 5
mygm = swprepost.GroundModel(tk, vp, vs, rh)
simp_tk, simp_vp = mygm.simplify(parameter='vp')
self.assertListEqual(simp_tk, [1, 3, 6, 0])
self.assertListEqual(simp_vp, [200, 200, 500, 600])
simp_tk, simp_vs = mygm.simplify(parameter='vs')
self.assertListEqual(simp_tk, [1, 4, 0])
self.assertListEqual(simp_vs, [100, 100, 300])
simp_tk, simp_rh = mygm.simplify(parameter='rh')
self.assertListEqual(simp_tk, [1, 0])
self.assertListEqual(simp_rh, [2000, 2000])
def test_from_geopsy(self):
# Single Model
tk = [0.68, 9.69, 0.018, 22.8, 43.9, 576.4, 0]
vp = [196.7, 295.8, 1600.2, 1600.2, 1600.2, 4232.5, 4232.5]
vs = [120.3, 120.3, 120., 231.9, 840.9, 840.9, 2095.3]
rh = [2000.] * 7
_id = 149698
mf = 0.766485
expected_0 = swprepost.GroundModel(thickness=tk,
vp=vp,
vs=vs,
density=rh,
identifier=_id,
misfit=mf)
fname = self.full_path + "data/test_gm_mod1.txt"
returned_0 = swprepost.GroundModelSuite.from_geopsy(fname=fname)[0]
self.assertEqual(expected_0, returned_0)
# Two Models
tk1 = [0.7, 9.1, 0.1, 21.9, 61.0, 571.8, 0]
vp1 = [196.7, 281.4, 1392.1, 1392.1, 1392.1, 4149.1, 4149.1]
vs1 = [120.3, 120.3, 120.3, 225.1, 840.9, 840.9, 2202.1]
rh1 = [2000.] * 7
_id = 147185
mf = 0.767484
expected_1 = swprepost.GroundModel(thickness=tk1,
vp=vp1,
vs=vs1,
density=rh1,
identifier=_id,
misfit=mf)
fname = self.full_path + "data/test_gm_mod2.txt"
returned_1 = swprepost.GroundModelSuite.from_geopsy(fname=fname)
self.assertEqual(expected_0, returned_1[0])
self.assertEqual(expected_1, returned_1[1])
# Randomly check the 10th profile (index=9)
fname = self.full_path + "data/test_gm_mod100.txt"
suite = swprepost.GroundModelSuite.from_geopsy(fname=fname, nmodels=10)
tk = [
0.77397930357999966677, 9.4057659375340758601,
0.10720244308314619275, 22.132593746915929955,
27.312477738315664055, 586.97428362212974662, 0
]
vp = [
196.72222021325231367, 307.83304440876798935,
1492.6139621303491367, 1492.6139621303491367,
1492.6139621303491367, 4149.1243500998343734, 4149.1243500998343734
]
vs = [
120.30018967392834384, 120.30018967392834384,
120.30018967392834384, 227.42292146971948341,
832.63107566976702856, 832.63107566976702856, 2116.2608747684203081
]
rh = [2000] * 7
_id = 149535
mf = 0.770783
expected_9 = swprepost.GroundModel(thickness=tk,
vp=vp,
vs=vs,
density=rh,
identifier=_id,
misfit=mf)
self.assertEqual(expected_9, suite[9])
def test_from_geopsy(self):
# Single Model
tk = [0.68, 9.69, 0.018, 22.8, 43.9, 576.4, 0]
vp = [196.7, 295.8, 1600.2, 1600.2, 1600.2, 4232.5, 4232.5]
vs = [120.3, 120.3, 120., 231.9, 840.9, 840.9, 2095.3]
rh = [2000.] * 7
_id = 149698
mf = 0.766485
expected_0 = swprepost.GroundModel(thickness=tk,
vp=vp,
vs=vs,
density=rh,
identifier=_id,
misfit=mf)
fname = self.path / "data/gm/test_gm_mod1.txt"
returned_0 = swprepost.GroundModelSuite.from_geopsy(fname=fname)[0]
self.assertEqual(expected_0, returned_0)
# Two Models
tk1 = [0.7, 9.1, 0.1, 21.9, 61.0, 571.8, 0]
vp1 = [196.7, 281.4, 1392.1, 1392.1, 1392.1, 4149.1, 4149.1]
vs1 = [120.3, 120.3, 120.3, 225.1, 840.9, 840.9, 2202.1]
rh1 = [2000.] * 7
_id = 147185
mf = 0.767484
expected_1 = swprepost.GroundModel(thickness=tk1,
vp=vp1,
vs=vs1,
density=rh1,
identifier=_id,
misfit=mf)
fname = self.path / "data/gm/test_gm_mod2.txt"
returned_1 = swprepost.GroundModelSuite.from_geopsy(fname=fname)
self.assertEqual(expected_0, returned_1[0])
self.assertEqual(expected_1, returned_1[1])
# Randomly check the 10th profile (index=9)
fname = self.path / "data/gm/test_gm_mod100.txt"
suite = swprepost.GroundModelSuite.from_geopsy(fname=fname, nmodels=10)
tk = [
0.77397930357999966677, 9.4057659375340758601,
0.10720244308314619275, 22.132593746915929955,
27.312477738315664055, 586.97428362212974662, 0
]
vp = [
196.72222021325231367, 307.83304440876798935,
1492.6139621303491367, 1492.6139621303491367,
1492.6139621303491367, 4149.1243500998343734, 4149.1243500998343734
]
vs = [
120.30018967392834384, 120.30018967392834384,
120.30018967392834384, 227.42292146971948341,
832.63107566976702856, 832.63107566976702856, 2116.2608747684203081
]
rh = [2000] * 7
_id = 149535
mf = 0.770783
expected_9 = swprepost.GroundModel(thickness=tk,
vp=vp,
vs=vs,
density=rh,
identifier=_id,
misfit=mf)
self.assertEqual(expected_9, suite[9])
# test 100 models
suite = swprepost.GroundModelSuite.from_geopsy(
self.path / "data/gm/test_gm_mod100.txt")
self.assertTrue(len(suite) == 100)
# Request more models than are available.
with warnings.catch_warnings():
warnings.simplefilter("ignore")
suite = swprepost.GroundModelSuite.from_geopsy(
self.path / "data/gm/test_gm_mod100.txt", nmodels=101)
self.assertTrue(len(suite) == 100)
# Real Examples
# -------------
for version in swprepost.meta.SUPPORTED_GEOPSY_VERSIONS:
for tar, par in zip(["tar1", "tar12"], ["ln3", "ln7"]):
fname = self.path / \
f"data/gm/{tar}_{par}_v{version.replace('.','')}_m100_gm.txt"
suite = swprepost.GroundModelSuite.from_geopsy(fname)
gm = swprepost.GroundModel.from_geopsy(fname)
self.assertEqual(gm, suite[0])
self.assertTrue(len(suite) == 100)
def test_discretize(self):
thick = [2., 2., 0.]
vp = [1500.] * len(thick)
vs = [100., 200., 300.]
density = [2000.] * len(thick)
mygm = swprepost.GroundModel(thick, vp, vs, density)
disc_depth, disc_par = mygm.discretize(5, dy=1.25)
self.assertListEqual([0., 1.25, 2.5, 3.75, 5.], disc_depth)
self.assertListEqual([100., 100., 200., 200., 300.], disc_par)
thick = [2., 2., 0.]
vp = [1500.] * len(thick)
vs = [100., 200., 300.]
density = [2000.] * len(thick)
mygm = swprepost.GroundModel(thick, vp, vs, density)
disc_depth, disc_par = mygm.discretize(5, dy=1)
self.assertListEqual([0., 1., 2., 3., 4., 5.], disc_depth)
self.assertListEqual([100., 100., 100., 200., 200., 300.], disc_par)
thick = [1.5, 1.5, 0]
vp = [1500.] * len(thick)
vs = [100., 200., 300.]
density = [2000.] * len(thick)
mygm = swprepost.GroundModel(thick, vp, vs, density)
disc_depth, disc_par = mygm.discretize(5, dy=1)
self.assertListEqual([0., 1., 2., 3., 4., 5.], disc_depth)
self.assertListEqual([100., 100., 200., 200., 300., 300.], disc_par)
thick = [1, 1, 0]
vp = [1500.] * len(thick)
vs = [100., 200., 300.]
density = [2000.] * len(thick)
mygm = swprepost.GroundModel(thick, vp, vs, density)
disc_depth, disc_par = mygm.discretize(3, dy=0.5)
self.assertListEqual([0., 0.5, 1., 1.5, 2., 2.5, 3.], disc_depth)
self.assertListEqual([100., 100., 100., 200., 200., 300., 300.],
disc_par)
thick = [1, 1, 0]
vp = [1500.] * len(thick)
vs = [100., 200., 300.]
density = [2000.] * len(thick)
mygm = swprepost.GroundModel(thick, vp, vs, density)
disc_depth, disc_par = mygm.discretize(3, dy=0.25)
expected = [
0., 0.25, 0.5, 0.75, 1., 1.25, 1.5, 1.75, 2., 2.25, 2.5, 2.75, 3.
]
self.assertListEqual(expected, disc_depth)
expected = [
100., 100., 100., 100., 100, 200., 200., 200., 200., 300., 300.,
300., 300.
]
self.assertListEqual(expected, disc_par)
# Check pr
thick = [0.75, 0]
vp = [200, 400]
vs = [100, 200]
density = [2000] * 2
mygm = swprepost.GroundModel(thick, vp, vs, density)
disc_depth, disc_par = mygm.discretize(1.5, dy=0.5, parameter="pr")
self.assertListEqual([0., 0.5, 1., 1.5], disc_depth)
self.assertListEqual([0.3333333333333333] * 4, disc_par)
# Half-space
tk = [0]
vp = [1500]
vs = [100]
rh = [2000]
gm = swprepost.GroundModel(tk, vp, vs, rh)
disc_depth, disc_vs = gm.discretize(dmax=5, dy=1)
expected = [0, 1, 2, 3, 4, 5]
self.assertListEqual(expected, disc_depth)
expected = [100] * 6
self.assertListEqual(expected, disc_vs)
# Fine discretization
tk = [5.3, 12.5, 0]
vp = [100, 200, 300]
vs = [50, 100, 150]
rh = [2000] * 3
gm = swprepost.GroundModel(tk, vp, vs, rh)
disc_depth, disc_vs = gm.discretize(dmax=50, dy=0.01)
expected = np.arange(0, int(50 / 0.01) + 1, 1) * 0.01
self.assertListEqual(expected.tolist(), disc_depth)
self.assertEqual(len(disc_depth), len(disc_vs))
