I hit a similar issue in 2017 which is still the case today: Python's builtin `random.shuffle` destroys numpy arrays passed into it [0]. This is apparently a de

I hit a similar issue in 2017 which is still the case today: Python's builtin `random.shuffle` destroys numpy arrays passed into it [0]. This is apparently a design limitation within numpy and cannot be detected or fixed, so it still stands today. I spent hours combing through my own code wondering where the bug was, because there was no way that it was caused by numpy or Python, but eventually all the likely scenarios got ruled out... [0] https://github.com/numpy/numpy/issues/10215 https://github.com/numpy/numpy/issues/10215