code: def WIND(**kwargs):
      """WIND class for topological Winding number thresholder.
  
      Use the topological winding number (with respect to the origin) to
      evaluate a non-parametric means to threshold scores generated by
      the decision_scores where outliers are set to any value beyond the
      mean intersection point calculated from the winding number.
  
      Parameters
      ----------
  
      random_state : int, optional (default=1234)
           Random seed for the normal distribution. Can also be set to None.
  
      """
  
      from pythresh.thresholds.wind import WIND as WIND_thres
  
      return WIND_thres(**kwargs)
  
label_desc: Use image node_id 26 for calling a global function with example usage: WIND() and returns: WIND_thres