def _exp_lt(self, t):
        """
        Parameters
        ----------

         t : float
            time to propagate

        Returns
        --------

         exp_lt : numpy.array
            Array of values exp(lambda(i) * t),
            where (i) - alphabet index (the eigenvalue number).
        """
        return np.exp(self.mu * t * self.eigenvals)
def _exp_lt(self, t):
        """
        Parameters
        ----------

         t : float
            time to propagate

        Returns
        --------

         exp_lt : numpy.array
            Array of values exp(lambda(i) * t),
            where (i) - alphabet index (the eigenvalue number).
        """
        return np.exp(self.mu * t * self.eigenvals)
def _exp_lt ( self , t ) : return np . exp ( self . mu * t * self . eigenvals )
Parameters
        ----------

         t : float
            time to propagate

        Returns
        --------

         exp_lt : numpy.array
            Array of values exp(lambda(i) * t),
            where (i) - alphabet index (the eigenvalue number).
Parameters ----------