d8d58997b4913f206bf8835cbbfd5ab46a19d189,pynndescent/distances.py,,alternative_cosine,#,376

Before Change

    elif result <= 0.0:
        return FLOAT32_MAX
    else:
        return 0.5 * (np.log(norm_x) + np.log(norm_y)) - np.log(result)


@numba.vectorize(fastmath=True, cache=True)
def correct_alternative_cosine(d):

After Change

    elif result <= 0.0:
        return FLOAT32_MAX
    else:
        result = np.sqrt(norm_x * norm_y) / result
        return np.log2(result)


@numba.njit(
    "f4(f4[::1],f4[::1])",

Instances