import torch token_to_idx = { "": 0, "Question": 1, ":": 2, "▁Percentage": 3, "▁of": 4, "▁non": 5, "-": 6, "fresh": 7, "▁water": 8, "▁as": 9, "▁source": 10, "?": 11, "": 21, "\n": 22, } idx_to_token = {v: k for k, v in token_to_idx.items()} q_embs = torch.tensor( [ [ 1.6547e-01, -1.8838e-02, 1.0150e-01, -2.2643e-02, 5.0652e-02, 3.2039e-02, 6.8322e-02, 2.7134e-02, 7.2197e-03, -4.2341e-02, -5.8006e-02, -1.1389e-01, 7.0041e-02, -6.8021e-02, 2.4681e-02, 5.3306e-02, 4.1714e-02, 6.2021e-02, 1.3488e-01, 3.4943e-02, 3.8032e-02, -3.2724e-02, -1.2960e-01, 1.1453e-02, -2.6477e-02, 3.5219e-02, -7.6606e-02, 2.2387e-01, -3.4888e-02, -4.0333e-02, 1.4128e-01, 4.2248e-02, -1.2664e-01, -7.8376e-02, -2.0356e-02, 4.2198e-02, -7.0776e-02, 1.3965e-02, 4.2442e-03, 7.1987e-02, 8.5172e-04, -6.4878e-02, -1.8954e-01, -8.6171e-02, 9.1983e-02, -9.3358e-02, 2.2704e-01, 1.3102e-02, 6.5327e-02, 2.4815e-02, -1.4533e-01, 5.8823e-02, -6.1434e-02, 5.2004e-02, -8.4065e-02, 1.6298e-01, 8.1965e-02, 2.6553e-02, -1.2377e-01, 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