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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 forward(self, inputs, states):
 """Unrolls the recurrent cell for one time step. Parameters inputs : sym.Variable Input symbol, 2D, of shape (batch_size * num_units). states : list of sym.Variable RNN state from previous step or the output of begin_state(). Returns ------- output : Symbol Symbol corresponding to the output from the RNN when unrolling for a single time step. states : list of Symbol The new state of this RNN after this unrolling. The type of this symbol is same as the output of `begin_state()`. This can be used as an input state to the next time step of this RNN. See Also -------- begin_state: This function can provide the states for the first time step. unroll: This function unrolls an RNN for a given number of (>=1) time steps. """

        # pylint: disable= arguments-differ
        self._counter += 1
        return super(RecurrentCell, self).forward(inputs, states)