code: def to_FIB(self, other):
          
  
          if not isinstance(other, GroundedFunctionNetwork):
              raise TypeError(
                  f"Expected GroundedFunctionNetwork, but got {type(other)}"
              )
  
          def shortname(var):
              return var[var.find("::") + 2 : var.rfind("_")]
  
          def shortname_vars(graph, shortname):
              return [v for v in graph.nodes() if shortname in v]
  
          this_var_nodes = [
              shortname(n)
              for (n, d) in self.nodes(data=True)
              if d["type"] == "variable"
          ]
          other_var_nodes = [
              shortname(n)
              for (n, d) in other.nodes(data=True)
              if d["type"] == "variable"
          ]
  
          shared_vars = set(this_var_nodes).intersection(set(other_var_nodes))
          full_shared_vars = {
              full_var
              for shared_var in shared_vars
              for full_var in shortname_vars(self, shared_var)
          }
  
          return ForwardInfluenceBlanket(self, full_shared_vars)
docs: Creates a ForwardInfluenceBlanket object representing the
          intersection of this model with the other input model.
  
          Args:
              other: The GroundedFunctionNetwork object to compare this model to.
  
          Returns:
              A ForwardInfluenceBlanket object to use for model comparison.