import unittest import mlx.core as mx from mlx_lm.sample_utils import min_p_sampling, top_k_sampling, top_p_sampling class TestSampleUtils(unittest.TestCase): def test_top_p_sampling(self): probs = mx.array([0.9, 0.0, 0.0, 0.1])[None] logits = mx.log(probs) temperature = 1.0 token = top_p_sampling(logits, 0.3, temperature).item() self.assertEqual(token, 0) token = top_p_sampling(logits, 0.95, temperature).item() self.assertTrue(token in (0, 3)) probs = mx.array([0.0, 0.5, 0.4, 0.1])[None] logits = mx.log(probs) token = top_p_sampling(logits, 0.4, temperature).item() self.assertEqual(token, 1) token = top_p_sampling(logits, 0.6, temperature).item() self.assertTrue(token in (1, 2)) token = top_p_sampling(logits, 0.95, temperature).item() self.assertTrue(token in (1, 2, 3)) def test_min_p_sampling(self): probs = mx.array([0.9, 0.0, 0.0, 0.1])[None] logits = mx.log(probs) temperature = 1.0 token = min_p_sampling(logits, 0.8) self.assertEqual(token, 0) probs = mx.array([0.9, 0.0, 0.0, 0.1])[None] logits = mx.log(probs) temperature = 1.0 for _ in range(5): token = min_p_sampling(logits, 0.05) self.assertTrue(token in (0, 3)) def test_top_k_sampling(self): probs = mx.array([0.9, 0.0, 0.0, 0.1])[None] logits = mx.log(probs) token = top_k_sampling(logits, 1).item() self.assertEqual(token, 0) probs = mx.array([0.5, 0.0, 0.0, 0.5])[None] tokens = set() for _ in range(100): token = top_k_sampling(logits, 2) tokens.add(token.item()) self.assertEqual(tokens, {0, 3}) # Batch mode works probs = mx.array([[0.9, 0.0, 0.0, 0.1], [0.0, 0.8, 0.0, 0.1]]) logits = mx.log(probs) tokens = top_k_sampling(logits, 1) self.assertEqual(tokens.tolist(), [0, 1]) if __name__ == "__main__": unittest.main()