renaming to ensure capitals

SimPEG/Utils/meshutils.py

@@ -0,0 +1,58 @@
+import numpy as np
+from scipy import sparse as sp
+from matutils import mkvc, ndgrid, sub2ind
+from sputils import sdiag
+
+def exampleLomGird(nC, exType):
+    assert type(nC) == list, "nC must be a list containing the number of nodes"
+    assert len(nC) == 2 or len(nC) == 3, "nC must either two or three dimensions"
+    exType = exType.lower()
+
+    possibleTypes = ['rect', 'rotate']
+    assert exType in possibleTypes, "Not a possible example type."
+
+    if exType == 'rect':
+        return ndgrid([np.cumsum(np.r_[0, np.ones(nx)/nx]) for nx in nC], vector=False)
+    elif exType == 'rotate':
+        if len(nC) == 2:
+            X, Y = ndgrid([np.cumsum(np.r_[0, np.ones(nx)/nx]) for nx in nC], vector=False)
+            amt = 0.5-np.sqrt((X - 0.5)**2 + (Y - 0.5)**2)
+            amt[amt < 0] = 0
+            return X + (-(Y - 0.5))*amt, Y + (+(X - 0.5))*amt
+        elif len(nC) == 3:
+            X, Y, Z = ndgrid([np.cumsum(np.r_[0, np.ones(nx)/nx]) for nx in nC], vector=False)
+            amt = 0.5-np.sqrt((X - 0.5)**2 + (Y - 0.5)**2 + (Z - 0.5)**2)
+            amt[amt < 0] = 0
+            return X + (-(Y - 0.5))*amt, Y + (-(Z - 0.5))*amt, Z + (-(X - 0.5))*amt
+
+
+def meshTensors(*args):
+    """
+        **meshTensors** takes any number of tuples that have the form::
+
+            h1 = ( (numPad, sizeStart [, increaseFactor]), (numCore, sizeCore), (numPad, sizeStart [, increaseFactor]) )
+
+        .. plot::
+
+            from SimPEG import mesh, Utils
+            M = mesh.TensorMesh(Utils.meshTensors(((10,10),(40,10),(10,10)), ((10,10),(20,10),(0,0))))
+            M.plotGrid()
+
+    """
+    def padding(num, start, factor=1.3, reverse=False):
+        pad = ((np.ones(num)*factor)**np.arange(num))*start
+        if reverse: pad = pad[::-1]
+        return pad
+    tensors = tuple()
+    for i, arg in enumerate(args):
+        tensors += (np.r_[padding(*arg[0],reverse=True),np.ones(arg[1][0])*arg[1][1],padding(*arg[2])],)
+
+    return list(tensors) if len(tensors) > 1 else tensors[0]
+
+if __name__ == '__main__':
+    from SimPEG import mesh
+    import matplotlib.pyplot as plt
+    M = mesh.TensorMesh(meshTensors(((10,10),(40,10),(10,10)), ((10,10),(20,10),(0,0))))
+    M.plotGrid()
+    plt.gca().axis('tight')
+    plt.show()