def discount(rewards, gamma, timestamps):
dt = np.diff(timestamps.squeeze())
x = rewards.squeeze()
g = np.power(gamma, dt)
y = np.zeros_like(x)
for n in range(len(y)):
y[n] = x[n] + np.sum(x[n + 1:] * np.cumprod(g[n:]))
return y
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