def corrupt_result(self, a=100, b=200):
#tau = gaussian(u=random_sequence_mc(1), mu = 0, sigma = np.exp(np.array([self.c])))
#tau = np.random.normal(scale=np.exp(self.c))
add_time = a+random_sequence_mc(1)*(b-a)
self.add_time = add_time.flatten()
self.corrupted_times = self.stop_times +self.add_time
def brownian_self(steps):
u = random_sequence_mc(steps)
brownian_increments = np.cumsum(gaussian(u))
return brownian_increments