To get the most random numbers for each run, call numpy.random.seed() . This will cause numpy to set the seed to a random number obtained from / ... ... <看更多>

import random import numpy as np # This is how we import the module of Matplotlib we'll be ... Seed the RNG np.random.seed(42) # Generate random numbers ... ... <看更多>

筆記一下np.random.seed()的用法seed()用於指定隨機數生成時所用算法開始的整數值，如果使用相同的seed()值，則每次生成的隨機數都相同，如果不設置這個值， ... ... <看更多>

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In NumPy, pseudo random number generation is based on a global state . This can be set to a deterministic initial condition using random.seed(SEED) . ... <看更多>

Tell us about it For test suite put np.random.seed in conftest.py so its available in all tests, eliminating duplication across various ... ... <看更多>