Hi All, I tried to use the decorator @numpy.vectorize for the class method without success. Can any one point me to the correct way of using it? I am able to use the numpy.vectorize() sucessfully. Below is the code with did not work ==================== ================ import numpy class test:    @numpy.vectorize #<========= Using decorator    def add(self,x,y):        return x+y    def operate(self,operation,x,y):        if operation =='add':            return self.add(x,y) #<==============trying to call def test_test():    test_instance=test()    x=numpy.arange(1,10)    y=numpy.arange(11,20)    print test_instance.operate('add',x,y) if __name__=='__main__':    test_test() ==================== ================ File "test.py", line 10, in operate return self.add(x,y) File "/usr/local/lib/python2.5/site-packages/numpy/lib/function_base.py", line 1854, in __call__ raise ValueError, "mismatch between python function inputs"\ ValueError: mismatch between python function inputs and received arguments --------------------------------------------------------------------------------------------------------- But the following modification works ==================== ================ import numpy class test:    def add(self,x,y):        return x+y    def operate(self,operation,x,y):        if operation =='add':            newfunc=numpy.vectorize(self.add) #<============ Explicitly vectorizing            return newfunc(x,y) #<============ calling the vectorized func def test_test():    test_instance=test()    x=numpy.arange(1,10)    y=numpy.arange(11,20)    print test_instance.operate('add',x,y) if __name__=='__main__':    test_test() ==================== ================ What exactly is happening in case of using decorator? Thanks, Shailendra