def hypersimilar(f, g, k):
    f, g = list(map(sympify, (f, g)))

    h = (f/g).rewrite(gamma)
    h = h.expand(func=True, basic=False)

    return h.is_rational_function(k)
Return a copy of the parameters of the model
dataset/ETHPy150Open sympy/sympy/sympy/simplify/simplify.py/hypersimilar--crossover with--dataset/ETHPy150Open slinderman/pyhawkes/pyhawkes/models.py/_DiscreteTimeNetworkHawkesModelBase.copy_sample