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	| import numpy as np | |
| def categorical_sample(prob_n, np_random: np.random.Generator): | |
| """Sample from categorical distribution where each row specifies class probabilities.""" | |
| prob_n = np.asarray(prob_n) | |
| csprob_n = np.cumsum(prob_n) | |
| return np.argmax(csprob_n > np_random.random()) | |