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.
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docstr: Evaluate the interpolant.
  
  Parameters
  ----------
  t : float or array_like with shape (n_points,)
      Points to evaluate the solution at.
  
  Returns
  -------
  y : ndarray, shape (n,) or (n, n_points)
      Computed values. Shape depends on whether `t` was a scalar or a
      1-d array.
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code: def __call__(self, t):
      """Evaluate the interpolant.
  
      Parameters
      ----------
      t : float or array_like with shape (n_points,)
          Points to evaluate the solution at.
  
      Returns
      -------
      y : ndarray, shape (n,) or (n, n_points)
          Computed values. Shape depends on whether `t` was a scalar or a
          1-d array.
      """
      t = np.asarray(t)
      if t.ndim > 1:
          raise ValueError("`t` must be float or 1-d array.")
      return self._call_impl(t)
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
label_desc: Use image node_id 2 for calling the DenseOutput obj's underlying member method code with example usage: obj.__call__(t) and returns: self