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| from numba import jit | |
| import random | |
| @jit(nopython=True) | |
| def monte_carlo_pi(nsamples): | |
| acc = 0 | |
| for i in range(nsamples): | |
| x = random.random() | |
| y = random.random() | |
| if (x ** 2 + y ** 2) < 1.0: | |
| acc += 1 | |
| return 4.0 * acc / nsamples |
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