class_docstr: Jump on step at a time. If unsuccessful, reverse direction. 
class_docstr_tok: ["Jump","on","step","at","a","time",".","If","unsuccessful",",","reverse","direction","."]
code: def prepare_jump(self):
      target = self.currenti + self.direction
      self.stepsampler.set_nsteps(target)
  
imports: import numpy
  from numpy.linalg import norm
  import matplotlib.pyplot
  from .samplingpath import angle, extrapolate_ahead
label_desc: Use image node_id 2 for calling the SingleJumper obj's underlying member method code with example usage: obj.prepare_jump() without return types