

def evaluate_rastrigin(candidates, args):
    fitness = []
    for cs in candidates:
        fit = ((10 * len(cs)) + sum([(my_squaring_function((x - 1)) - (10 * math.cos(((2 * math.pi) * (x - 1))))) for x in f]))
        fitness.append(fit)
    if any([(f < 9.5) for f in fitness]):
        raise TypeError
    return fitness

dataset/ETHPy150Open aarongarrett/inspyred/examples/advanced/logging_example.py evaluate_rastrigin/VarMisuse@77/85 `cs`->`f`