def choose_max_and_accumulate(self, acc):
    """
    Find the maximum value along the given dimension, where 0 represents the
    leading dimension and 1 represents the non-leading dimension. If a target
    is not prvided, a new vector is created for storing the result.
    """

    m, n = self.shape

    err_code = _eigenmat.choose_max_and_accumulate(self.p_mat, acc.p_mat)
    if err_code:
      raise generate_exception(err_code)

    return acc

    Find the maximum value along the given dimension, where 0 represents the
    leading dimension and 1 represents the non-leading dimension. If a target
    is not prvided, a new vector is created for storing the result.
    
eigenmat/eigenmat.py