my first attempt at a wrapper to overcome some of numpy issues

SimPEG/ops.py

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+import numpy as np
+from utils import mkvc
+import scipy.sparse.linalg as spla
+import scipy.sparse as sp
+
+
+def matmul(A,B):
+    
+    # first check shape
+    if np.shape(A)[1] != np.shape(B)[0]:
+    	print 'error in sizes'
+    	return
+
+    # Check types
+    sA = sp.issparse(A)
+    sB = sp.issparse(B)
+
+    if ((sA == False) & (sB == True)):  # doesno't work unless we trick it
+    	return (B.T.dot(A.T)).T
+    else:
+    	return A.dot(B)
+
+
+def dot(A,B):
+	A = mkvc(A,1)
+	B = mkvc(B,1)
+	return np.dot(A,B)
+
+def inner(A,B):
+	A = mkvc(A,1)
+	B = mkvc(B,1)
+	return np.dot(A,B)
+
+
+if __name__ == '__main__':
+	import numpy as np
+	from utils import mkvc
+	import scipy.sparse as sp
+
+	# generate sparse and dense matrices
+	A = sp.rand(100, 200, density=0.05, format='csr', dtype=None)
+	B = sp.rand(200, 150, density=0.05, format='csr', dtype=None)
+	C = np.random.rand(200,150)
+	D = np.random.rand(150,100)
+	b = mkvc(np.arange(200),1)
+	c = np.reshape(b,(1,200))
+	matmul(A,B)
+	matmul(A,C)
+	matmul(C,D)
+	matmul(D,A)
+	matmul(A,b)
+	dot(c,b)
+	dot(C,C)
+	print np.shape(c), np.shape(b)[0]
+	print matmul(c,b),dot(c,b)
+
+
+
+
+
+
+