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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def to_FIB(self, other):
 """ 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. """


        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)