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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _transform_gradients(self, g):
 """ Transform the gradients by multiplying the gradient factor for each constraint to it. """

        #py3 fix
        #[np.put(g, i, c.gradfactor(self.param_array[i], g[i])) for c, i in self.constraints.iteritems() if c != __fixed__]
        [np.put(g, i, c.gradfactor(self.param_array[i], g[i])) for c, i in self.constraints.items() if c != __fixed__]
        if self._has_fixes(): return g[self._fixes_]
        return g