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cleanup in mapping tests

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This commit is contained in:
Lindsey Heagy
2016-07-20 09:24:32 -07:00
parent 2c429f9dc2
commit a3c0c10e48
1 changed files with 15 additions and 15 deletions
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tests/base/test_maps.py
+15 -15
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@@ -7,7 +7,10 @@ import inspect
TOL = 1e-14
MAPS_TO_EXCLUDE_2D = ["ComboMap", "ActiveCells", "InjectActiveCells"]
MAPS_TO_EXCLUDE_3D = ["ComboMap", "ActiveCells", "InjectActiveCells", "CircleMap"]
MAPS_TO_EXCLUDE_3D = ["ComboMap", "ActiveCells", "InjectActiveCells",
"CircleMap"]
MAPS_TO_TEST_INVERSE = ["ExpMap"]
class MapTests(unittest.TestCase):
@@ -53,16 +56,16 @@ class MapTests(unittest.TestCase):
# Note that log/reciprocal maps can be kinda finicky, so we are being
# explicit about the random seed.
v2 = np.r_[ 0.40077291, 0.14410044, 0.58452314, 0.96323738, 0.01198519,
0.79754415]
dv2 = np.r_[ 0.80653921, 0.13132446, 0.4901117, 0.03358737, 0.65473762,
0.44252488]
v3 = np.r_[ 0.96084865, 0.34385186, 0.39430044, 0.81671285, 0.65929109,
0.2235217, 0.87897526, 0.5784033, 0.96876393, 0.63535864,
0.84130763, 0.22123854]
dv3 = np.r_[ 0.96827838, 0.26072111, 0.45090749, 0.10573893,
0.65276365, 0.15646586, 0.51679682, 0.23071984,
0.95106218, 0.14201845, 0.25093564, 0.3732866 ]
v2 = np.r_[0.40077291, 0.14410044, 0.58452314, 0.96323738, 0.01198519,
0.79754415]
dv2 = np.r_[0.80653921, 0.13132446, 0.4901117, 0.03358737, 0.65473762,
0.44252488]
v3 = np.r_[0.96084865, 0.34385186, 0.39430044, 0.81671285, 0.65929109,
0.2235217, 0.87897526, 0.5784033, 0.96876393, 0.63535864,
0.84130763, 0.22123854]
dv3 = np.r_[0.96827838, 0.26072111, 0.45090749, 0.10573893,
0.65276365, 0.15646586, 0.51679682, 0.23071984,
0.95106218, 0.14201845, 0.25093564, 0.3732866 ]
maps = Maps.LogMap(self.mesh2)
self.assertTrue(maps.test(v2, dx=dv2))
@@ -123,14 +126,11 @@ class MapTests(unittest.TestCase):
nC=M.nCy), Maps.ActiveCells(M, M.vectorCCy <= 0, 10,
nC=M.nCy)]:
# actMap = Maps.InjectActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
vertMap = Maps.SurjectVertical1D(M)
combo = vertMap * actMap
m = np.r_[1., 2.]
mod = Models.Model(m, combo)
# import matplotlib.pyplot as plt
# plt.colorbar(M.plotImage(mod.transform)[0])
# plt.show()
self.assertLess(np.linalg.norm(mod.transform -
np.r_[1, 1, 2, 2, 10, 10, 10, 10.]), TOL)
self.assertLess((mod.transformDeriv -