code: def jaccard_dissim_binary(a, b, **__):
      """Jaccard dissimilarity function for binary encoded variables"""
      if ((a == 0) | (a == 1)).all() and ((b == 0) | (b == 1)).all():
          numerator = np.sum(np.bitwise_and(a, b), axis=1)
          denominator = np.sum(np.bitwise_or(a, b), axis=1)
          if (denominator == 0).any(0):
              raise ValueError(
                  "Insufficient Number of data since union is 0"
              )
          return 1 - numerator / denominator
      raise ValueError(
          "Missing or non Binary values detected in Binary columns."
      )
  
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: jaccard_dissim_binary(a, b) and returns: unknown