class_docstr: Base class for local interpolant over step made by an ODE solver.
  
  It interpolates between `t_min` and `t_max` (see Attributes below).
  Evaluation outside this interval is not forbidden, but the accuracy is not
  guaranteed.
  
  Attributes
  ----------
  t_min, t_max : float
      Time range of the interpolation.
class_docstr_tok: ["Base","class","for","local","interpolant","over","step","made","by","an","ODE","solver",".","It","interpolates","between","`","t_min","`","and","`","t_max","`","(","see","Attributes","below",")",".","Evaluation","outside","this","interval","is","not","forbidden",",","but","the","accuracy","is","not","guaranteed",".","Attributes","--","--","--","--","--","t_min",",","t_max",":","float","Time","range","of","the","interpolation","."]
code: def __init__(self, t_old, t):
      self.t_old = t_old
      self.t = t
      self.t_min = min(t, t_old)
      self.t_max = max(t, t_old)
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
label_desc: Use image node_id 1 to create a new DenseOutput object from inherited base classes: object with example: obj = DenseOutput(t_old, t)