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| import random | |
| # A stochastic model with a single input `p` and a single output `side` | |
| def coin_model(p): | |
| # Mathematically, `side_output` is a random variable | |
| def side_output(): | |
| return 'tail' if random.random() < p else 'head' | |
| return side_output | |
| if __name__ == '__main__': | |
| setup_model = coin_model(0.7) | |
| runs = 5 | |
| for _ in range(runs): | |
| print(setup_model()) |
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