Test Maps and Models

SimPEG/Maps.py

@@ -4,25 +4,20 @@ from Tests import checkDerivative
 class Model(np.ndarray):
 
     def __new__(cls, input_array, mapping=None):
-        # Input array is an already formed ndarray instance
+        assert isinstance(mapping, IdentityMap), 'mapping must be a SimPEG.Mapping'
-        # We first cast to be our class type
         obj = np.asarray(input_array).view(cls)
-        # add the new attribute to the created instance
+        obj._mapping = mapping
-        obj.mapping = mapping
+        if not obj.size == mapping.nP:
-        # Finally, we must return the newly created object:
+            raise Exception('Incorrect size for array.')
         return obj
 
     def __array_finalize__(self, obj):
-        # see InfoArray.__array_finalize__ for comments
         if obj is None: return
-        self.mapping = getattr(obj, 'mapping', None)
+        self._mapping = getattr(obj, '_mapping', None)
 
     @property
     def mapping(self):
         return self._mapping
-    @mapping.setter
-    def mapping(self, value):
-        self._mapping = value
 
     @property
     def transform(self):
@@ -36,6 +31,9 @@ class Model(np.ndarray):
             self._transformDeriv = self.mapping.transformDeriv(self.view(np.ndarray))
         return self._transformDeriv
 
+    def test(self, **kwargs):
+        return self.mapping.test(self.view(np.ndarray),**kwargs)
+
 
 class IdentityMap(object):
     """
@@ -98,8 +96,8 @@ class IdentityMap(object):
         print 'Testing the %s Class!' % self.__class__.__name__
         if m is None:
             m = self.example()
-            if 'plotIt' not in kwargs:
+        if 'plotIt' not in kwargs:
-                kwargs['plotIt'] = False
+            kwargs['plotIt'] = False
         return checkDerivative(lambda m : [self.transform(m), self.transformDeriv(m)], m, **kwargs)
 
     def _assertMatchesPair(self, pair):
@@ -451,25 +449,3 @@ class ComplexMap(IdentityMap):
 
     transformInverse = transformDeriv
 
-
-if __name__ == '__main__':
-    from SimPEG import *
-    mesh = Mesh.TensorMesh([10,8])
-    emap = ExpMap(mesh)
-    vmap = Vertical1DMap(mesh)
-
-    combo = emap*vmap
-    print combo
-    print combo.maps
-
-    # combo = ComboMap(mesh, [ExpMap, Vertical1DMap])
-
-    # combo = ComboMap(mesh, [ExpMap, Vertical1DMap])
-    # m = combo.example()
-    # print m.shape
-    # print combo.test(np.arange(8))
-    mesh = Mesh.TensorMesh([10,8])
-    mapping = ComplexMap(mesh)
-    m = mapping.example()
-    print m.shape
-    # print mapping.test(m)

SimPEG/Tests/test_maps.py

@@ -4,6 +4,7 @@ from SimPEG import *
 from TestUtils import checkDerivative
 from scipy.sparse.linalg import dsolve
 
+TOL = 1e-14
 
 class MapTests(unittest.TestCase):
 
@@ -33,6 +34,50 @@ class MapTests(unittest.TestCase):
             maps = Maps.ComboMap(self.mesh2, combo)
             self.assertTrue(maps.test())
 
+    def test_mapMultiplication(self):
+        M = Mesh.TensorMesh([2,3])
+        expMap = Maps.ExpMap(M)
+        vertMap = Maps.Vertical1DMap(M)
+        combo = expMap*vertMap
+        m = np.arange(3.0)
+        t = combo * m
+        t_true = np.exp(np.r_[0,0,1,1,2,2.])
+        self.assertLess(np.linalg.norm(t-t_true,np.inf),TOL)
+        #Try making a model
+        mod = Maps.Model(m,mapping=combo)
+        # print mod.transform
+        # import matplotlib.pyplot as plt
+        # plt.colorbar(M.plotImage(mod.transform)[0])
+        # plt.show()
+        self.assertLess(np.linalg.norm(mod.transform-t_true,np.inf),TOL)
+
+        self.assertTrue(mod.test(plotIt=False))
+
+        self.assertRaises(Exception,Maps.Model,np.r_[1.0],mapping=combo)
+
+    def test_activeCells(self):
+        M = Mesh.TensorMesh([2,4],'0C')
+        actMap = Maps.ActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
+        vertMap = Maps.Vertical1DMap(M)
+        mod = Maps.Model(np.r_[1,2.],vertMap * actMap)
+        # 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.assertTrue(mod.test())
+
+    def test_activeCells(self):
+        M = Mesh.TensorMesh([2,4],'0C')
+        actMap = Maps.ActiveCells(M, M.vectorCCy <=0, 10, nC=M.nCy)
+        vertMap = Maps.Vertical1DMap(M)
+        mod = Maps.Model(np.r_[1,2.],vertMap * actMap)
+        # 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.assertTrue(mod.test())
+
+
 
 if __name__ == '__main__':
     unittest.main()