small code refactoring

theano/scan_module/scan_opt.py

@@ -96,25 +96,26 @@ def remove_constants_and_unused_inputs_scan(node):
 
     all_ins = gof.graph.inputs(op_outs)
     for idx in xrange(op.n_seqs):
-        if (isinstance(node.inputs[idx + 1], tensor.TensorConstant) and
-            node.inputs[idx + 1].tag.unique_value is not None):
+        node_inp = node.inputs[idx + 1]
+        if (isinstance(node_inp, tensor.TensorConstant) and
+            node_inp.tag.unique_value is not None):
             try:
                 # This works if input is a constant that has all entries
                 # equal
-                givens[op_ins[idx]] = node.inputs[idx + 1].clone()[0]
+                givens[op_ins[idx]] = node_inp.clone()[0]
             except TypeError:
                 pass
         elif op_ins[idx] in all_ins:
             # Check for identical other sequence
             identical_seqs = [x for x in nw_outer
                               if scan_utils.equal_computations(
-                                  [x], [node.inputs[idx + 1]])]
+                                  [x], [node_inp])]
             if identical_seqs:
                 index = node.inputs.index(identical_seqs[0]) - 1
                 givens[op_ins[idx]] = op_ins[index]
             else:
                 nw_inner += [op_ins[idx]]
-                nw_outer += [node.inputs[idx + 1]]
+                nw_outer += [node_inp]
 
     nw_n_seqs = len(nw_inner)
     # Add outputs stuff