random.uniform(0, 1) is basically the same thing as random.random() (as 1.0 times float value closest to ... ... <看更多>

Generally, JAX strives to be compatible with NumPy, but pseudo random number ... print("individually:", np.stack([np.random.uniform() for _ in range(3)])) ... <看更多>

print(np.random.randint(2, 1)) raises ValueError, also the documentation of np.random.uniform says those inputs are low and high. ... <看更多>

... <看更多>