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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 get_value(self, tau):
 """ Compute the value of the term for an array of lags Args: evaluated. Returns: The value of the term for each ``tau``. This will have the same shape as ``tau``. """

        tau = np.asarray(tau)
        (alpha_real, beta_real, alpha_complex_real, alpha_complex_imag,
         beta_complex_real, beta_complex_imag) = self.coefficients
        k = get_kernel_value(
            alpha_real, beta_real,
            alpha_complex_real, alpha_complex_imag,
            beta_complex_real, beta_complex_imag,
            tau.flatten(),
        )
        return np.asarray(k).reshape(tau.shape)