class_docstr: Region-aware form of the sampling path.
  
  Uses region points to guess a likelihood contour gradient.
class_docstr_tok: ["Region-aware","form","of","the","sampling","path",".","Uses","region","points","to","guess","a","likelihood","contour","gradient","."]
docstr: Interpolate point with index `i` on path.
docstr_tok: ["Interpolate","point","with","index","`","i","`","on","path","."]
code: def interpolate(self, i):
      """Interpolate point with index `i` on path."""
      return interpolate(
          i,
          self.samplingpath.points,
          fwd_possible=self.samplingpath.fwd_possible,
          rwd_possible=self.samplingpath.rwd_possible,
          contourpath=self,
      )
  
imports: import numpy
  from numpy.linalg import norm
  import matplotlib.pyplot
label_desc: Use image node_id 3 for calling the ContourSamplingPath obj's underlying member method code with example usage: obj.interpolate(i) and returns: interpolate