fix confusion between NotImplemented and NotImplementedError

theano/sparse/basic.py

@@ -1333,7 +1333,7 @@ class GetItemScalar(gof.op.Op):
             elif ind.ndim == 0:
                 input_op += [ind]
             else:
-                raise NotImplemented()
+                raise NotImplementedError
 
         return gof.Apply(self, input_op, [tensor.scalar(dtype=x.dtype)])
 

theano/sparse/opt.py

@@ -1350,7 +1350,7 @@ def local_mul_s_d(node):
             CSx = sparse.CSR
             mul_s_d_csx = mul_s_d_csr
         else:
-            raise NotImplemented()
+            raise NotImplementedError
         if x.dtype != y.dtype:
             # mul_s_d_csx don't support that case
             return

theano/sparse/sandbox/sp2.py

@@ -194,7 +194,7 @@ class Multinomial(gof.op.Op):
         assert _is_sparse(p)
 
         if p.format != 'csr':
-            raise NotImplemented()
+            raise NotImplementedError
 
         out[0] = p.copy()