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Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

Python wrapper for SentencePiece. This API supports the encoding, decoding, and training of SentencePiece models. For a detailed feature and API comparison with Hugging Face Tokenizers and OpenAI's ...

def generate_imu_data(duration=10.0, dt=0.01, random_seed=42): """Generise sinteticke IMU podatke.""" true_roll = 0.3 * np.sin(0.8 * t) + 0.1 * np.sin(1.2 * t + 0.5 ...