def f(dataset):
    inp,out,comp = dataset
    out = []
    for var in itertools.product(*[(True,False) for _ in range(len(comp))]):
        temp_comp = copy.deepcopy(comp)
        for b,func in zip(var,temp_comp):
            if b and var != (True)*len(comp):
                temp_comp.remove(func)

        if eval(temp_comp.compose(inp)) == output:
            out.append(temp_comp)
    t= min(out,key=len)
    return (len(comp),len(t))

a = [f(a) for a in dataset]