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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 probabilities(self, angles: List[float]) -> np.ndarray: """ Computes the probability of each state given a particular set of angles. :param angles: A concatenated list of angles [betas]+[gammas] :return: The probabilities of each outcome given those angles. """

        if isinstance(angles, list):
            angles = np.array(angles)

        assert angles.shape[0] == 2 * self.steps, "angles must be 2 * steps"

        param_prog = self.get_parameterized_program()
        prog = param_prog(angles)
        wf = WavefunctionSimulator().wavefunction(prog)
        wf = wf.amplitudes.reshape((-1, 1))
        probs = np.zeros_like(wf)
        for xx in range(2 ** len(self.qubits)):
            probs[xx] = np.conj(wf[xx]) * wf[xx]
        return probs