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- def get_bootstrap_samples(data, n_samples):
- indices = np.random.randint(0, len(data), (n_samples, len(data)))
- samples = data[indices]
- return samples
- n_samples = 1000
- a_samples = get_bootstrap_samples(a_data, n_samples)
- b_samples = get_bootstrap_samples(b_data, n_samples)
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