Created
October 9, 2018 11:57
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| np.random.seed(123456) | |
| N = 100 | |
| aim = 0 | |
| scale = 0.5 | |
| adjusted = [] | |
| for i in range(N): | |
| curr = np.random.randn() * scale + aim | |
| adjusted.append(curr) | |
| aim = -curr | |
| non_adjusted = np.random.randn(N)*scale |
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