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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 get_independencies(self, latex=False):
 """ Computes independencies in the DAG, by checking d-seperation. Parameters latex: boolean If latex=True then latex string of the independence assertion would be created. Examples -------- (X _|_ Z | Y) (Z _|_ X | Y) """

        independencies = Independencies()
        for start in (self.nodes()):
            rest = set(self.nodes()) - {start}
            for r in range(len(rest)):
                for observed in itertools.combinations(rest, r):
                    d_seperated_variables = rest - set(observed) - set(
                        self.active_trail_nodes(start, observed=observed)[start])
                    if d_seperated_variables:
                        independencies.add_assertions([start, d_seperated_variables, observed])

        independencies.reduce()

        if not latex:
            return independencies
        else:
            return independencies.latex_string()