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Merge pull request #246 from simpeg/ref/MappingNotation
Naming conventions in Maps (re #231)
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@@ -21,8 +21,8 @@ def run(plotIt=True):
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active = mesh.vectorCCz<0.
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layer = (mesh.vectorCCz<0.) & (mesh.vectorCCz>=layerz)
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actMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.Vertical1DMap(mesh) * actMap
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actMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * actMap
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sig_half = 2e-2
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sig_air = 1e-8
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sig_layer = 1e-2
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@@ -19,8 +19,8 @@ def run(plotIt=True):
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active = mesh.vectorCCz<0.
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layer = (mesh.vectorCCz<0.) & (mesh.vectorCCz>=-100.)
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actMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.Vertical1DMap(mesh) * actMap
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actMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * actMap
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sig_half = 2e-3
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sig_air = 1e-8
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sig_layer = 1e-3
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+41
-8
@@ -4,6 +4,7 @@ from Tests import checkDerivative
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from PropMaps import PropMap, Property
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from numpy.polynomial import polynomial
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from scipy.interpolate import UnivariateSpline
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import warnings
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class IdentityMap(object):
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"""
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@@ -296,11 +297,11 @@ class LogMap(IdentityMap):
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def inverse(self, m):
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return np.exp(Utils.mkvc(m))
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class FullMap(IdentityMap):
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class SurjectFull(IdentityMap):
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"""
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FullMap
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SurjectFull
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Given a scalar, the FullMap maps the value to the
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Given a scalar, the SurjectFull maps the value to the
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full model space.
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"""
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@@ -327,9 +328,15 @@ class FullMap(IdentityMap):
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"""
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return np.ones([self.mesh.nC,1])
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class FullMap(SurjectFull):
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def __init__(self,mesh,**kwargs):
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warnings.warn(
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"`FullMap` is deprecated and will be removed in future versions. Use `SurjectFull` instead",
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FutureWarning)
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SurjectFull.__init__(self,mesh,**kwargs)
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class Vertical1DMap(IdentityMap):
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"""Vertical1DMap
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class SurjectVertical1D(IdentityMap):
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"""SurjectVertical1DMap
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Given a 1D vector through the last dimension
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of the mesh, this will extend to the full
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@@ -369,8 +376,14 @@ class Vertical1DMap(IdentityMap):
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), shape=(repNum, 1))
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return sp.kron(sp.identity(self.nP), repVec)
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class Vertical1DMap(SurjectVertical1D):
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def __init__(self,mesh,**kwargs):
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warnings.warn(
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"`Vertical1DMap` is deprecated and will be removed in future versions. Use `SurjectVertical1D` instead",
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FutureWarning)
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SurjectVertical1D.__init__(self,mesh,**kwargs)
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class Map2Dto3D(IdentityMap):
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class Surject2Dto3D(IdentityMap):
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"""Map2Dto3D
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Given a 2D vector, this will extend to the full
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@@ -425,6 +438,13 @@ class Map2Dto3D(IdentityMap):
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), shape=(nC, nP))
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return P
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class Map2Dto3D(Surject2Dto3D):
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def __init__(self,mesh,**kwargs):
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warnings.warn(
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"`Map2Dto3D` is deprecated and will be removed in future versions. Use `Surject2Dto3D` instead",
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FutureWarning)
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Surject2Dto3D.__init__(self,mesh,**kwargs)
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class Mesh2Mesh(IdentityMap):
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"""
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Takes a model on one mesh are translates it to another mesh.
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@@ -458,7 +478,7 @@ class Mesh2Mesh(IdentityMap):
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return self.P
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class ActiveCells(IdentityMap):
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class InjectActiveCells(IdentityMap):
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"""
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Active model parameters.
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@@ -506,7 +526,14 @@ class ActiveCells(IdentityMap):
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def deriv(self, m):
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return self.P
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class ActiveCellsTopo(IdentityMap):
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class ActiveCells(InjectActiveCells):
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def __init__(self, mesh, indActive, valInactive, nC=None):
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warnings.warn(
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"`ActiveCells` is deprecated and will be removed in future versions. Use `InjectActiveCells` instead",
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FutureWarning)
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InjectActiveCells.__init__(self, mesh, indActive, valInactive, nC)
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class InjectActiveCellsTopo(IdentityMap):
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"""
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Active model parameters. Extend for cells on topography to air cell (only works for tensor mesh)
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@@ -577,6 +604,12 @@ class ActiveCellsTopo(IdentityMap):
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def deriv(self, m):
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return self.P
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class ActiveCellsTopo(InjectActiveCellsTopo):
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def __init__(self, mesh, indActive, valInactive, nC=None):
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warnings.warn(
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"`ActiveCellsTopo` is deprecated and will be removed in future versions. Use `InjectActiveCellsTopo` instead",
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FutureWarning)
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InjectActiveCellsTopo.__init__(self, mesh, indActive, valInactive, nC)
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class Weighting(IdentityMap):
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"""
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+32
-27
@@ -5,8 +5,8 @@ from scipy.sparse.linalg import dsolve
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TOL = 1e-14
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MAPS_TO_TEST_2D = ["CircleMap", "ComplexMap", "ExpMap", "IdentityMap", "Vertical1DMap", "Weighting", "FullMap"]
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MAPS_TO_TEST_3D = [ "ComplexMap", "ExpMap", "IdentityMap", "Vertical1DMap", "Weighting", "FullMap"]
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MAPS_TO_TEST_2D = ["CircleMap", "ComplexMap", "ExpMap", "IdentityMap", "SurjectVertical1D", "Weighting", "SurjectFull","FullMap","Vertical1DMap"]
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MAPS_TO_TEST_3D = [ "ComplexMap", "ExpMap", "IdentityMap", "SurjectVertical1D", "Weighting", "SurjectFull","FullMap","Vertical1DMap"]
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class MapTests(unittest.TestCase):
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@@ -52,7 +52,7 @@ class MapTests(unittest.TestCase):
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def test_mapMultiplication(self):
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M = Mesh.TensorMesh([2,3])
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expMap = Maps.ExpMap(M)
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vertMap = Maps.Vertical1DMap(M)
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vertMap = Maps.SurjectVertical1D(M)
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combo = expMap*vertMap
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m = np.arange(3.0)
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t_true = np.exp(np.r_[0,0,1,1,2,2.])
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@@ -83,22 +83,23 @@ class MapTests(unittest.TestCase):
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def test_activeCells(self):
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M = Mesh.TensorMesh([2,4],'0C')
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expMap = Maps.ExpMap(M)
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actMap = Maps.ActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
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vertMap = Maps.Vertical1DMap(M)
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combo = vertMap * actMap
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m = np.r_[1,2.]
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mod = Models.Model(m,combo)
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# import matplotlib.pyplot as plt
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# plt.colorbar(M.plotImage(mod.transform)[0])
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# plt.show()
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self.assertLess(np.linalg.norm(mod.transform - np.r_[1,1,2,2,10,10,10,10.]), TOL)
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self.assertLess((mod.transformDeriv - combo.deriv(m)).toarray().sum(), TOL)
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for actMap in [Maps.InjectActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy), Maps.ActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)]:
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# actMap = Maps.InjectActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
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vertMap = Maps.SurjectVertical1D(M)
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combo = vertMap * actMap
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m = np.r_[1,2.]
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mod = Models.Model(m,combo)
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# import matplotlib.pyplot as plt
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# plt.colorbar(M.plotImage(mod.transform)[0])
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# plt.show()
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self.assertLess(np.linalg.norm(mod.transform - np.r_[1,1,2,2,10,10,10,10.]), TOL)
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self.assertLess((mod.transformDeriv - combo.deriv(m)).toarray().sum(), TOL)
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def test_tripleMultiply(self):
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M = Mesh.TensorMesh([2,4],'0C')
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expMap = Maps.ExpMap(M)
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vertMap = Maps.Vertical1DMap(M)
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actMap = Maps.ActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
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vertMap = Maps.SurjectVertical1D(M)
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actMap = Maps.InjectActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
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m = np.r_[1,2.]
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t_true = np.exp(np.r_[1,1,2,2,10,10,10,10.])
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self.assertLess(np.linalg.norm((expMap * vertMap * actMap * m)-t_true,np.inf),TOL)
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@@ -115,29 +116,33 @@ class MapTests(unittest.TestCase):
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M2 = Mesh.TensorMesh([2,4])
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M3 = Mesh.TensorMesh([3,2,4])
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m = np.random.rand(M2.nC)
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m2to3 = Maps.Map2Dto3D(M3, normal='X')
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m = np.arange(m2to3.nP)
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self.assertTrue(m2to3.test())
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self.assertTrue(np.all(Utils.mkvc( (m2to3 * m).reshape(M3.vnC,order='F')[0,:,:] ) == m))
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for m2to3 in [Maps.Surject2Dto3D(M3, normal='X'), Maps.Map2Dto3D(M3, normal='X')]:
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# m2to3 = Maps.Surject2Dto3D(M3, normal='X')
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m = np.arange(m2to3.nP)
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self.assertTrue(m2to3.test())
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self.assertTrue(np.all(Utils.mkvc( (m2to3 * m).reshape(M3.vnC,order='F')[0,:,:] ) == m))
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def test_map2Dto3D_y(self):
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M2 = Mesh.TensorMesh([3,4])
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M3 = Mesh.TensorMesh([3,2,4])
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m = np.random.rand(M2.nC)
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m2to3 = Maps.Map2Dto3D(M3, normal='Y')
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m = np.arange(m2to3.nP)
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self.assertTrue(m2to3.test())
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self.assertTrue(np.all(Utils.mkvc( (m2to3 * m).reshape(M3.vnC,order='F')[:,0,:] ) == m))
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for m2to3 in [Maps.Surject2Dto3D(M3, normal='Y'),Maps.Map2Dto3D(M3, normal='Y')]:
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# m2to3 = Maps.Surject2Dto3D(M3, normal='Y')
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m = np.arange(m2to3.nP)
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self.assertTrue(m2to3.test())
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self.assertTrue(np.all(Utils.mkvc( (m2to3 * m).reshape(M3.vnC,order='F')[:,0,:] ) == m))
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def test_map2Dto3D_z(self):
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M2 = Mesh.TensorMesh([3,2])
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M3 = Mesh.TensorMesh([3,2,4])
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m = np.random.rand(M2.nC)
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m2to3 = Maps.Map2Dto3D(M3, normal='Z')
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m = np.arange(m2to3.nP)
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self.assertTrue(m2to3.test())
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self.assertTrue(np.all(Utils.mkvc( (m2to3 * m).reshape(M3.vnC,order='F')[:,:,0] ) == m))
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for m2to3 in [Maps.Surject2Dto3D(M3, normal='Z'),Maps.Map2Dto3D(M3, normal='Z')]:
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# m2to3 = Maps.Surject2Dto3D(M3, normal='Z')
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m = np.arange(m2to3.nP)
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self.assertTrue(m2to3.test())
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self.assertTrue(np.all(Utils.mkvc( (m2to3 * m).reshape(M3.vnC,order='F')[:,:,0] ) == m))
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if __name__ == '__main__':
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@@ -18,8 +18,8 @@ class TDEM_bDerivTests(unittest.TestCase):
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mesh = Mesh.CylMesh([hx,1,hy], '00C')
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active = mesh.vectorCCz<0.
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activeMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.Vertical1DMap(mesh) * activeMap
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activeMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * activeMap
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rxOffset = 40.
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rx = EM.TDEM.RxTDEM(np.array([[rxOffset, 0., 0.]]), np.logspace(-4,-3, 20), 'bz')
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@@ -17,8 +17,8 @@ class TDEM_bDerivTests(unittest.TestCase):
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mesh = Mesh.CylMesh([hx,1,hy], '00C')
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active = mesh.vectorCCz<0.
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activeMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.Vertical1DMap(mesh) * activeMap
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activeMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * activeMap
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rxOffset = 40.
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rx = EM.TDEM.RxTDEM(np.array([[rxOffset, 0., 0.]]), np.logspace(-4,-3, 20), 'bz')
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@@ -14,8 +14,8 @@ def getProb(meshType='CYL',rxTypes='bx,bz',nSrc=1):
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mesh = Mesh.CylMesh([hx,1,hy], '00C')
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active = mesh.vectorCCz<0.
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activeMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.Vertical1DMap(mesh) * activeMap
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activeMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * activeMap
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rxOffset = 40.
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@@ -24,8 +24,8 @@ def halfSpaceProblemAnaDiff(meshType, sig_half=1e-2, rxOffset=50., bounds=[1e-5,
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mesh = Mesh.TensorMesh([hx,hy,hz], 'CCC')
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active = mesh.vectorCCz<0.
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actMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.Vertical1DMap(mesh) * actMap
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actMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
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mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * actMap
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rx = EM.TDEM.RxTDEM(np.array([[rxOffset, 0., 0.]]), np.logspace(-5,-4, 21), 'bz')
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src = EM.TDEM.SrcTDEM_VMD_MVP([rx], loc=np.array([0., 0., 0.]))
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