import numpy as np

dataset = {
    "a1": np.array(
        [
            [1, 3, 5, 4, 7],
            [1 / 3, 1, 3, 2, 5],
            [1 / 5, 1 / 3, 1, 1 / 2, 3],
            [1 / 4, 1 / 2, 2, 1, 3],
            [1 / 7, 1 / 5, 1 / 3, 1 / 3, 1],
        ]
    ),
    "a2": np.array(
        [
            [1, 4, 3, 5, 8],
            [1 / 4, 1, 4, 3, 6],
            [1 / 3, 1 / 4, 1, 1, 5],
            [1 / 5, 1 / 3, 1, 1, 7],
            [1 / 8, 1 / 6, 1 / 5, 1 / 7, 1],
        ]
    ),
    "a3": np.array(
        [
            [1, 1 / 2, 3, 2, 5],
            [2, 1, 5, 1, 2],
            [1 / 3, 1 / 5, 1, 2, 1 / 2],
            [1 / 2, 1, 1 / 2, 1, 5],
            [1 / 5, 1 / 2, 2, 1 / 5, 1],
        ]
    ),
    "a4": np.array(
        [
            [1, 3, 5, 2, 6],
            [1 / 3, 1, 1, 3, 2],
            [1 / 5, 1, 1, 4, 5],
            [1 / 2, 1 / 3, 1 / 4, 1, 1 / 2],
            [1 / 6, 1 / 2, 1 / 5, 2, 1],
        ]
    ),
    "a5": np.array(
        [
            [1, 2, 6, 3, 3],
            [1 / 2, 1, 2, 5, 4],
            [1 / 6, 1 / 2, 1, 1 / 2, 1],
            [1 / 3, 1 / 5, 2, 1, 5],
            [1 / 3, 1 / 4, 1, 1 / 5, 1],
        ]
    ),
    "a6": np.array(
        [
            [1, 2, 5, 4, 9],
            [1 / 2, 1, 3, 2, 6],
            [1 / 5, 1 / 3, 1, 1, 2],
            [1 / 4, 1 / 2, 1, 1, 3],
            [1 / 9, 1 / 6, 1 / 2, 1 / 3, 1],
        ]
    )
}