code: def __init__(self, t_old, t, y_old, Q):
      super().__init__(t_old, t)
      self.h = t - t_old
      self.Q = Q
      self.order = Q.shape[1] - 1
      self.y_old = y_old
  
file_path: scipy/scipy/integrate/_ivp/radau.py
imports: import numpy
  from scipy.linalg import lu_factor, lu_solve
  from scipy.sparse import csc_matrix, issparse, eye
  from scipy.sparse.linalg import splu
  from scipy.optimize._numdiff import group_columns
  from .common import validate_max_step, validate_tol, select_initial_step, norm, num_jac, EPS, warn_extraneous, validate_first_step
  from .base import OdeSolver, DenseOutput
label_desc: Use image node_id 1 to create a new RadauDenseOutput object from inherited base classes: DenseOutput with example: obj = RadauDenseOutput(t_old, t, y_old, Q)