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: Add point `xi`, direction `vi` and value `Li` with index `i` to the path.
docstr_tok: ["Add","point","`","xi","`",",","direction","`","vi","`","and","value","`","Li","`","with","index","`","i","`","to","the","path","."]
code: def add(self, i, x, v, L):
      """Add point `xi`, direction `vi` and value `Li` with index `i` to the path."""
      self.samplingpath.add(i, x, v, L)
  
imports: import numpy
  from numpy.linalg import norm
  import matplotlib.pyplot
label_desc: Use image node_id 2 for calling the ContourSamplingPath obj's underlying member method code with example usage: obj.add(i, x, v, L) without return types