In this notebook we classify all integer alternating surgeries on the SnapPy census knots.

For that we start with the list GOERITZ of all knots in the SnapPy Census together with their possible alternating slopes (measured w.r.t. the Seifert framing) and their Goeritz matrices (in fact it will turn out that we do not need the Goeritz matrices it is enough to know the possible integer alternating slopes).

GOERITZ=[['m016', [3, 2, 2], [[18, [[2, 0, -1], [0, 4, -3], [-1, -3, 5]]], [19, [[2, 0, -1, 0], [0, 2, 0, -1], [-1, 0, 4, -2], [0, -1, -2, 3]]]]], ['m071', [5, 2], [[31, [[2, -1, 0], [-1, 6, -1], [0, -1, 3]]], [32, [[2, -1, 0, -1], [-1, 2, -1, 0], [0, -1, 6, -1], [-1, 0, -1, 3]]]]], ['m082', [3, 3, 2, 2], [[27, [[2, 0, -1, 0], [0, 2, 0, -1], [-1, 0, 5, -3], [0, -1, -3, 4]]], [28, [[2, 0, 0, 0, -1], [0, 2, 0, -1, 0], [0, 0, 2, 0, -1], [0, -1, 0, 3, -2], [-1, 0, -1, -2, 4]]]]], ['m103', [5, 3, 2, 2], [[43, [[2, -1, 0, -1], [-1, 3, 0, 0], [0, 0, 4, -1], [-1, 0, -1, 3]]], [44, [[2, 0, 0, -1, -1], [0, 2, -1, 0, -1], [0, -1, 3, 0, 0], [-1, 0, 0, 4, -1], [-1, -1, 0, -1, 3]]]]], ['m118', [4, 3, 2], [[30, [[4, -2, -1], [-2, 6, -2], [-1, -2, 3]]], [31, [[2, -1, 0, 0], [-1, 4, -2, -1], [0, -2, 3, -1], [0, -1, -1, 4]]]]], ['m144', [3, 3, 3, 2, 2], [[36, [[2, 0, 0, -1, 0], [0, 2, -1, 0, 0], [0, -1, 2, 0, -1], [-1, 0, 0, 5, -3], [0, 0, -1, -3, 4]]], [37, [[2, 0, 0, 0, 0, -1], [0, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0], [0, 0, -1, 2, 0, -1], [0, -1, 0, 0, 3, -2], [-1, 0, 0, -1, -2, 4]]]]], ['m194', [5, 3], [[36, [[2, -1, -1], [-1, 6, -3], [-1, -3, 6]]], [37, [[2, -1, -1, 0], [-1, 2, 0, 0], [-1, 0, 6, -3], [0, 0, -3, 4]]]]], ['m198', [5, 2, 2, 2], [[38, [[2, -1, 0, -1], [-1, 2, 0, 0], [0, 0, 5, -3], [-1, 0, -3, 5]]], [39, [[2, 0, 0, -1, 0], [0, 2, -1, 0, -1], [0, -1, 2, 0, 0], [-1, 0, 0, 5, -2], [0, -1, 0, -2, 3]]]]], ['m239', [4, 3, 2, 2], [[34, [[2, -1, 0, -1], [-1, 4, -1, -1], [0, -1, 4, -1], [-1, -1, -1, 3]]], [35, [[2, 0, -1, 0, 0], [0, 2, 0, -1, 0], [-1, 0, 3, -1, -1], [0, -1, -1, 3, -1], [0, 0, -1, -1, 3]]]]], ['m240', [4, 3, 3], [[36, [[2, 0, 0, -1], [0, 2, 0, -1], [0, 0, 5, -4], [-1, -1, -4, 6]]], [37, [[2, -1, 0, 0, 0], [-1, 2, 0, -1, 0], [0, 0, 2, 0, -1], [0, -1, 0, 5, -3], [0, 0, -1, -3, 4]]]]], ['m270', [5, 3, 3], [[45, [[2, 0, -1, -1], [0, 2, 0, -1], [-1, 0, 4, -2], [-1, -1, -2, 6]]], [46, [[2, -1, 0, -1, 0], [-1, 2, 0, 0, 0], [0, 0, 2, 0, -1], [-1, 0, 0, 4, -2], [0, 0, -1, -2, 4]]]]], ['m276', [5, 4, 2, 2], [[50, [[2, -1, 0, -1], [-1, 4, 0, -2], [0, 0, 3, -2], [-1, -2, -2, 6]]], [51, [[2, 0, -1, 0, 0], [0, 2, -1, 0, -1], [-1, -1, 4, 0, -1], [0, 0, 0, 3, -2], [0, -1, -1, -2, 4]]]]], ['m281', [4, 4, 3, 2], [[46, [[2, 0, 0, -1], [0, 3, -1, 0], [0, -1, 5, -2], [-1, 0, -2, 3]]], [47, [[2, 0, -1, 0, -1], [0, 2, 0, 0, -1], [-1, 0, 3, 0, 0], [0, 0, 0, 3, -2], [-1, -1, 0, -2, 4]]]]], ['o9_00133', [5, 5, 5, 5, 5, 2], [[131, [[2, 0, 0, 0, 0, 0, -1], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0], [0, 0, 0, -1, 2, 0, -1], [0, 0, 0, 0, 0, 3, -1], [-1, 0, 0, 0, -1, -1, 6]]], [132, [[2, -1, 0, 0, 0, 0, 0, -1], [-1, 2, 0, 0, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0], [0, 0, 0, 0, -1, 2, 0, -1], [0, -1, 0, 0, 0, 0, 3, -1], [-1, 0, 0, 0, 0, -1, -1, 6]]]]], ['o9_00168', [5, 5, 5, 5, 5, 3, 2, 2], [[143, [[2, 0, 0, 0, 0, -1, 0, -1], [0, 2, -1, 0, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, 0, 0, -1], [-1, 0, 0, 0, 0, 3, -1, 0], [0, 0, 0, 0, 0, -1, 4, 0], [-1, 0, 0, 0, -1, 0, 0, 3]]], [144, [[2, 0, 0, 0, 0, 0, -1, 0, 0], [0, 2, 0, 0, 0, 0, -1, -1, 0], [0, 0, 2, -1, 0, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, 0, -1, 2, 0, 0, -1], [-1, -1, 0, 0, 0, 0, 3, 0, 0], [0, -1, 0, 0, 0, 0, 0, 3, -2], [0, 0, 0, 0, 0, -1, 0, -2, 4]]]]], ['o9_00644', [3, 3, 3, 3, 3, 3, 3, 2, 2], [[72, [[2, 0, 0, 0, 0, 0, 0, -1, 0], [0, 2, -1, 0, 0, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, 0, -1, 2, -1, 0, 0], [0, 0, 0, 0, 0, -1, 2, 0, -1], [-1, 0, 0, 0, 0, 0, 0, 5, -3], [0, 0, 0, 0, 0, 0, -1, -3, 4]]], [73, [[2, 0, 0, 0, 0, 0, 0, 0, 0, -1], [0, 2, 0, 0, 0, 0, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0, 0, 0], [0, 0, 0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, 0, 0, -1, 2, -1, 0, 0], [0, 0, 0, 0, 0, 0, -1, 2, 0, -1], [0, -1, 0, 0, 0, 0, 0, 0, 3, -2], [-1, 0, 0, 0, 0, 0, 0, -1, -2, 4]]]]], ['o9_00797', [7, 7, 7, 7, 3, 2, 2], [[214, [[2, 0, 0, 0, -1, -1, 0], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [-1, 0, 0, 0, 3, -1, -1], [-1, 0, 0, 0, -1, 5, -2], [0, 0, 0, -1, -1, -2, 6]]], [215, [[2, 0, 0, 0, 0, -1, 0, -1], [0, 2, 0, 0, 0, -1, -1, 0], [0, 0, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, 0, 0, -1], [-1, -1, 0, 0, 0, 3, 0, -1], [0, -1, 0, 0, 0, 0, 3, -1], [-1, 0, 0, 0, -1, -1, -1, 6]]]]], ['o9_00815', [7, 7, 7, 7, 4, 3, 2], [[226, [[2, -1, 0, 0, 0, 0, 0], [-1, 2, -1, 0, 0, 0, 0], [0, -1, 2, 0, 0, 0, -1], [0, 0, 0, 5, -2, -1, -1], [0, 0, 0, -2, 5, -2, 0], [0, 0, 0, -1, -2, 3, 0], [0, 0, -1, -1, 0, 0, 3]]], [227, [[2, 0, 0, 0, 0, 0, -1, 0], [0, 2, -1, 0, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, 0, 0, 0, -1], [0, 0, 0, 0, 4, -1, -1, -1], [0, 0, 0, 0, -1, 3, -2, 0], [-1, 0, 0, 0, -1, -2, 4, 0], [0, 0, 0, -1, -1, 0, 0, 3]]]]], ['o9_01436', [7, 7, 7, 2, 2], [[157, [[2, 0, 0, 0, 0, -1], [0, 2, 0, 0, -1, -1], [0, 0, 2, -1, 0, 0], [0, 0, -1, 2, 0, -1], [0, -1, 0, 0, 3, 0], [-1, -1, 0, -1, 0, 7]]], [158, [[2, -1, 0, 0, 0, 0, -1], [-1, 2, 0, 0, 0, -1, 0], [0, 0, 2, 0, 0, -1, -1], [0, 0, 0, 2, -1, 0, 0], [0, 0, 0, -1, 2, 0, -1], [0, -1, -1, 0, 0, 3, 0], [-1, 0, -1, 0, -1, 0, 7]]]]], ['o9_01496', [7, 7, 7, 5, 2, 2, 2], [[185, [[2, -1, 0, 0, 0, 0, -1], [-1, 2, 0, 0, -1, 0, 0], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [0, -1, 0, 0, 4, -2, 0], [0, 0, 0, 0, -2, 5, 0], [-1, 0, 0, -1, 0, 0, 3]]], [186, [[2, 0, 0, 0, 0, -1, 0, 0], [0, 2, -1, 0, 0, 0, -1, 0], [0, -1, 2, 0, 0, -1, 0, 0], [0, 0, 0, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, 0, 0, -1], [-1, 0, -1, 0, 0, 4, 0, 0], [0, -1, 0, 0, 0, 0, 3, -2], [0, 0, 0, 0, -1, 0, -2, 4]]]]], ['o9_01584', [8, 8, 8, 3, 3, 2, 2], [[219, [[2, 0, 0, 0, -1, 0, -1], [0, 2, 0, 0, -1, -1, 0], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [-1, -1, 0, 0, 3, 0, 0], [0, -1, 0, 0, 0, 4, 0], [-1, 0, 0, -1, 0, 0, 4]]], [220, [[2, 0, 0, 0, 0, -1, 0, 0], [0, 2, 0, 0, 0, -1, -1, 0], [0, 0, 2, 0, 0, -1, 0, 0], [0, 0, 0, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, 0, 0, -1], [-1, -1, -1, 0, 0, 3, 0, 0], [0, -1, 0, 0, 0, 0, 3, -2], [0, 0, 0, 0, -1, 0, -2, 5]]]]], ['o9_01621', [8, 8, 8, 5, 3], [[228, [[2, 0, 0, 0, -1, -1], [0, 2, -1, 0, 0, 0], [0, -1, 2, 0, 0, -1], [0, 0, 0, 4, -2, -2], [-1, 0, 0, -2, 6, -2], [-1, 0, -1, -2, -2, 7]]], [229, [[2, -1, 0, 0, 0, 0, -1], [-1, 2, 0, 0, -1, 0, 0], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [0, -1, 0, 0, 4, -1, -2], [0, 0, 0, 0, -1, 4, -2], [-1, 0, 0, -1, -2, -2, 7]]]]], ['o9_01680', [8, 8, 8, 3, 2, 2], [[210, [[2, 0, 0, -1, 0, -1], [0, 2, -1, 0, 0, 0], [0, -1, 2, 0, 0, -1], [-1, 0, 0, 3, -1, 0], [0, 0, 0, -1, 4, -3], [-1, 0, -1, 0, -3, 8]]], [211, [[2, 0, 0, 0, -1, 0, 0], [0, 2, 0, 0, -1, -1, 0], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [-1, -1, 0, 0, 3, 0, -1], [0, -1, 0, 0, 0, 3, -2], [0, 0, 0, -1, -1, -2, 7]]]]], ['o9_01765', [8, 8, 8, 5, 3, 3], [[237, [[2, 0, 0, 0, 0, -1, 0], [0, 2, 0, 0, -1, 0, -1], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [0, -1, 0, 0, 4, -1, 0], [-1, 0, 0, 0, -1, 4, 0], [0, -1, 0, -1, 0, 0, 3]]], [238, [[2, -1, 0, 0, 0, 0, -1, 0], [-1, 2, 0, 0, 0, -1, 0, 0], [0, 0, 2, 0, 0, -1, 0, -1], [0, 0, 0, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, 0, 0, -1], [0, -1, -1, 0, 0, 4, -1, 0], [-1, 0, 0, 0, 0, -1, 4, 0], [0, 0, -1, 0, -1, 0, 0, 3]]]]], ['o9_01953', [5, 5, 5, 5, 5, 3], [[136, [[2, 0, 0, 0, 0, -1, -1], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0], [0, 0, 0, -1, 2, 0, -1], [-1, 0, 0, 0, 0, 6, -3], [-1, 0, 0, 0, -1, -3, 6]]], [137, [[2, -1, 0, 0, 0, 0, 0, 0], [-1, 2, 0, 0, 0, 0, 0, -1], [0, 0, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0], [0, 0, 0, 0, -1, 2, 0, -1], [0, 0, 0, 0, 0, 0, 4, -3], [0, -1, 0, 0, 0, -1, -3, 6]]]]], ['o9_01955', [5, 5, 5, 5, 5, 2, 2, 2], [[138, [[2, -1, 0, 0, 0, 0, 0, 0], [-1, 2, 0, 0, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0], [0, 0, 0, 0, -1, 2, 0, -1], [0, -1, 0, 0, 0, 0, 5, -3], [0, 0, 0, 0, 0, -1, -3, 5]]], [139, [[2, 0, 0, 0, 0, 0, 0, 0, -1], [0, 2, -1, 0, 0, 0, 0, 0, 0], [0, -1, 2, 0, 0, 0, 0, -1, 0], [0, 0, 0, 2, -1, 0, 0, 0, 0], [0, 0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, 0, -1, 2, -1, 0, 0], [0, 0, 0, 0, 0, -1, 2, 0, -1], [0, 0, -1, 0, 0, 0, 0, 3, -2], [-1, 0, 0, 0, 0, 0, -1, -2, 5]]]]], ['o9_02255', [10, 10, 3, 3, 2, 2], [[227, [[2, 0, 0, -1, -1, 0], [0, 2, 0, -1, 0, -1], [0, 0, 2, 0, 0, -1], [-1, -1, 0, 3, -1, 0], [-1, 0, 0, -1, 5, -2], [0, -1, -1, 0, -2, 7]]], [228, [[2, 0, 0, 0, -1, 0, -1], [0, 2, 0, 0, -1, -1, 0], [0, 0, 2, 0, -1, 0, -1], [0, 0, 0, 2, 0, 0, -1], [-1, -1, -1, 0, 3, 0, 0], [0, -1, 0, 0, 0, 3, -1], [-1, 0, -1, -1, 0, -1, 7]]]]], ['o9_02340', [10, 10, 4, 3, 3], [[236, [[2, 0, 0, -1, -1, 0], [0, 2, 0, -1, -1, 0], [0, 0, 2, 0, 0, -1], [-1, -1, 0, 3, 0, -1], [-1, -1, 0, 0, 6, -3], [0, 0, -1, -1, -3, 7]]], [237, [[2, -1, 0, 0, -1, 0, 0], [-1, 2, 0, 0, 0, 0, -1], [0, 0, 2, 0, -1, -1, 0], [0, 0, 0, 2, 0, 0, -1], [-1, 0, -1, 0, 3, 0, -1], [0, 0, -1, 0, 0, 4, -2], [0, -1, 0, -1, -1, -2, 7]]]]], ['o9_02350', [10, 10, 7, 3, 3, 2], [[272, [[2, 0, -1, 0, 0, -1], [0, 2, 0, 0, 0, -1], [-1, 0, 6, -2, -2, 0], [0, 0, -2, 5, -2, 0], [0, 0, -2, -2, 4, 0], [-1, -1, 0, 0, 0, 3]]], [273, [[2, 0, 0, 0, 0, -1, 0], [0, 2, 0, -1, 0, 0, -1], [0, 0, 2, 0, 0, 0, -1], [0, -1, 0, 5, -1, -2, 0], [0, 0, 0, -1, 3, -2, 0], [-1, 0, 0, -2, -2, 5, 0], [0, -1, -1, 0, 0, 0, 3]]]]], ['o9_02386', [10, 10, 6, 4, 3], [[263, [[2, 0, 0, -1, 0, 0], [0, 2, 0, 0, 0, -1], [0, 0, 5, -2, -1, -1], [-1, 0, -2, 6, -3, 0], [0, 0, -1, -3, 4, 0], [0, -1, -1, 0, 0, 3]]], [264, [[2, -1, 0, 0, 0, -1, 0], [-1, 2, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, -1], [0, 0, 0, 5, -2, -1, -1], [0, 0, 0, -2, 4, -2, 0], [-1, 0, 0, -1, -2, 4, 0], [0, 0, -1, -1, 0, 0, 3]]]]], ['o9_02655', [9, 9, 4, 3, 2, 2], [[196, [[2, 0, 0, -1, 0, -1], [0, 2, 0, 0, 0, -1], [0, 0, 3, -1, -1, 0], [-1, 0, -1, 5, -2, 0], [0, 0, -1, -2, 3, 0], [-1, -1, 0, 0, 0, 4]]], [197, [[2, 0, 0, 0, 0, -1, 0], [0, 2, 0, 0, -1, 0, -1], [0, 0, 2, 0, 0, 0, -1], [0, 0, 0, 3, -1, -1, 0], [0, -1, 0, -1, 3, -1, 0], [-1, 0, 0, -1, -1, 3, 0], [0, -1, -1, 0, 0, 0, 4]]]]], ['o9_02696', [9, 9, 5, 4, 2], [[208, [[2, 0, 0, 0, -1], [0, 3, -1, -1, 0], [0, -1, 5, -1, -1], [0, -1, -1, 4, 0], [-1, 0, -1, 0, 3]]], [209, [[2, 0, -1, 0, -1, 0], [0, 2, 0, 0, 0, -1], [-1, 0, 6, -1, -1, -1], [0, 0, -1, 3, -1, 0], [-1, 0, -1, -1, 3, 0], [0, -1, -1, 0, 0, 3]]]]], ['o9_02706', [9, 9, 9, 4, 3, 2], [[273, [[2, -1, 0, 0, 0, 0], [-1, 2, 0, 0, 0, -1], [0, 0, 5, -2, -1, -1], [0, 0, -2, 3, 0, -1], [0, 0, -1, 0, 3, -2], [0, -1, -1, -1, -2, 7]]], [274, [[2, 0, 0, 0, 0, -1, -1], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, 0, 0, 0, -1], [0, 0, 0, 4, -1, -2, -1], [0, 0, 0, -1, 3, 0, -1], [-1, 0, 0, -2, 0, 3, 0], [-1, 0, -1, -1, -1, 0, 6]]]]], ['o9_02735', [9, 9, 9, 5, 4, 2, 2], [[293, [[2, 0, 0, 0, -1, -1, 0], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, 0, 0, 0, -1], [0, 0, 0, 4, -1, -1, -1], [-1, 0, 0, -1, 5, -2, 0], [-1, 0, 0, -1, -2, 4, 0], [0, 0, -1, -1, 0, 0, 3]]], [294, [[2, 0, 0, 0, -1, 0, -1, 0], [0, 2, 0, 0, 0, -1, 0, 0], [0, 0, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, 0, 0, 0, -1], [-1, 0, 0, 0, 4, 0, -1, -1], [0, -1, 0, 0, 0, 3, -1, 0], [-1, 0, 0, 0, -1, -1, 3, 0], [0, 0, 0, -1, -1, 0, 0, 3]]]]], ['o9_02772', [9, 2, 2, 2], [[95, [[2, 0, 0, -1, 0], [0, 2, -1, 0, -1], [0, -1, 2, -1, 0], [-1, 0, -1, 8, 0], [0, -1, 0, 0, 3]]], [96, [[2, -1, 0, 0, 0, -1], [-1, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, -1], [0, 0, -1, 2, -1, 0], [0, -1, 0, -1, 8, 0], [-1, 0, -1, 0, 0, 3]]]]], ['o9_02786', [4, 4, 4, 4, 4, 3, 2, 2], [[98, [[2, 0, 0, 0, 0, -1, -1, 0], [0, 2, -1, 0, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0, 0], [0, 0, -1, 2, -1, 0, 0, 0], [0, 0, 0, -1, 2, 0, 0, -1], [-1, 0, 0, 0, 0, 3, -1, 0], [-1, 0, 0, 0, 0, -1, 5, -2], [0, 0, 0, 0, -1, 0, -2, 3]]], [99, [[2, 0, 0, 0, 0, 0, -1, 0, -1], [0, 2, 0, 0, 0, 0, -1, -1, 0], [0, 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2], [[59, [[2, 0, -1, 0], [0, 2, -1, -1], [-1, -1, 7, 0], [0, -1, 0, 3]]], [60, [[2, -1, 0, 0, -1], [-1, 2, 0, -1, 0], [0, 0, 2, -1, -1], [0, -1, -1, 7, 0], [-1, 0, -1, 0, 3]]]]], ['v0398', [7, 5, 2, 2, 2], [[87, [[2, -1, 0, 0, -1], [-1, 2, -1, 0, 0], [0, -1, 3, 0, 0], [0, 0, 0, 5, -2], [-1, 0, 0, -2, 4]]], [88, [[2, 0, 0, 0, -1, -1], [0, 2, -1, 0, 0, -1], [0, -1, 2, -1, 0, 0], [0, 0, -1, 3, 0, 0], [-1, 0, 0, 0, 5, -2], [-1, -1, 0, 0, -2, 4]]]]], ['v0407', [8, 3, 3, 2, 2], [[91, [[2, 0, -1, 0, -1], [0, 2, 0, -1, -1], [-1, 0, 4, 0, 0], [0, -1, 0, 4, 0], [-1, -1, 0, 0, 3]]], [92, [[2, 0, 0, 0, -1, -1], [0, 2, 0, -1, 0, -1], [0, 0, 2, 0, -1, -1], [0, -1, 0, 4, 0, 0], [-1, 0, -1, 0, 4, 0], [-1, -1, -1, 0, 0, 3]]]]], ['v0424', [8, 3, 2, 2], [[82, [[2, -1, -1, 0], [-1, 6, 0, -1], [-1, 0, 5, -3], [0, -1, -3, 4]]], [83, [[2, 0, 0, 0, -1], [0, 2, -1, -1, 0], [0, -1, 6, 0, -1], [0, -1, 0, 3, -2], [-1, 0, -1, -2, 4]]]]], ['v0434', [8, 5, 3], [[100, [[2, -1, -1, 0], [-1, 7, -2, -2], [-1, -2, 6, -2], [0, -2, -2, 4]]], [101, [[2, -1, 0, 0, -1], [-1, 2, -1, 0, 0], [0, -1, 7, -2, -2], [0, 0, -2, 4, -1], [-1, 0, -2, -1, 4]]]]], ['v0497', [8, 5, 3, 3], [[109, [[2, 0, 0, -1, 0], [0, 2, -1, 0, -1], [0, -1, 3, 0, 0], [-1, 0, 0, 4, -1], [0, -1, 0, -1, 4]]], [110, [[2, -1, 0, 0, 0, -1], [-1, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, -1], [0, 0, -1, 3, 0, 0], [0, -1, 0, 0, 4, -1], [-1, 0, -1, 0, -1, 4]]]]], ['v0554', [7, 2, 2, 2, 2], [[66, [[2, -1, 0, 0, -1], [-1, 2, -1, 0, 0], [0, -1, 2, 0, 0], [0, 0, 0, 6, -3], [-1, 0, 0, -3, 5]]], [67, [[2, 0, 0, 0, -1, 0], [0, 2, -1, 0, 0, -1], [0, -1, 2, -1, 0, 0], [0, 0, -1, 2, 0, 0], [-1, 0, 0, 0, 6, -2], [0, -1, 0, 0, -2, 3]]]]], ['v0570', [5, 5, 5, 3], [[86, [[2, 0, 0, -1, -1], [0, 2, -1, 0, 0], [0, -1, 2, 0, -1], [-1, 0, 0, 6, -3], [-1, 0, -1, -3, 6]]], [87, [[2, -1, 0, 0, 0, 0], [-1, 2, 0, 0, 0, -1], [0, 0, 2, -1, 0, 0], [0, 0, -1, 2, 0, -1], [0, 0, 0, 0, 4, -3], [0, -1, 0, -1, -3, 6]]]]], ['v0573', [5, 5, 5, 2, 2, 2], [[88, [[2, -1, 0, 0, 0, 0], [-1, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0], [0, 0, -1, 2, 0, -1], [0, -1, 0, 0, 5, -3], [0, 0, 0, -1, -3, 5]]], [89, [[2, 0, 0, 0, 0, 0, -1], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, 0, 0, -1, 0], [0, 0, 0, 2, -1, 0, 0], [0, 0, 0, -1, 2, 0, -1], [0, 0, -1, 0, 0, 3, -2], [-1, 0, 0, 0, -1, -2, 5]]]]], ['v0707', [4, 4, 4, 3, 2, 2], [[66, [[2, 0, 0, -1, -1, 0], [0, 2, -1, 0, 0, 0], [0, -1, 2, 0, 0, -1], [-1, 0, 0, 3, -1, 0], [-1, 0, 0, -1, 5, -2], [0, 0, -1, 0, -2, 3]]], [67, [[2, 0, 0, 0, -1, 0, -1], [0, 2, 0, 0, -1, -1, 0], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [-1, -1, 0, 0, 3, 0, 0], [0, -1, 0, 0, 0, 3, -1], [-1, 0, 0, -1, 0, -1, 3]]]]], ['v0709', [5, 4, 4], [[60, [[2, -1, 0, 0, 0], [-1, 2, 0, 0, -1], [0, 0, 2, 0, -1], [0, 0, 0, 6, -5], [0, -1, -1, -5, 7]]], [61, [[2, -1, 0, 0, 0, 0], [-1, 2, -1, 0, 0, 0], [0, -1, 2, 0, -1, 0], [0, 0, 0, 2, 0, -1], [0, 0, -1, 0, 6, -4], [0, 0, 0, -1, -4, 5]]]]], ['v0715', [9, 4, 3, 2], [[111, [[7, -1, -2, -1], [-1, 5, -1, -2], [-2, -1, 3, 0], [-1, -2, 0, 3]]], [112, [[2, 0, 0, -1, -1], [0, 7, -1, -2, -1], [0, -1, 3, 0, -1], [-1, -2, 0, 3, 0], [-1, -1, -1, 0, 3]]]]], ['v0740', [4, 4, 4, 4, 3, 2], [[78, [[2, -1, 0, 0, 0, 0], [-1, 2, -1, 0, 0, 0], [0, -1, 2, 0, 0, -1], [0, 0, 0, 3, -1, 0], [0, 0, 0, -1, 5, -2], [0, 0, -1, 0, -2, 3]]], [79, [[2, 0, 0, 0, -1, 0, -1], [0, 2, -1, 0, 0, 0, 0], [0, -1, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [-1, 0, 0, 0, 3, 0, 0], [0, 0, 0, 0, 0, 3, -2], [-1, 0, 0, -1, 0, -2, 4]]]]], ['v0741', [9, 5, 4, 2, 2], [[131, [[2, 0, 0, -1, -1], [0, 3, 0, -1, 0], [0, 0, 3, -1, -1], [-1, -1, -1, 6, -2], [-1, 0, -1, -2, 4]]], [132, [[2, 0, 0, -1, 0, -1], [0, 2, 0, 0, -1, 0], [0, 0, 3, 0, 0, -1], [-1, 0, 0, 3, -1, -1], [0, -1, 0, -1, 3, 0], [-1, 0, -1, -1, 0, 4]]]]], ['v0759', [8, 3, 3], [[84, [[2, 0, -1, -1], [0, 2, -1, -1], [-1, -1, 7, -2], [-1, -1, -2, 6]]], [85, [[2, -1, 0, -1, 0], [-1, 2, 0, 0, 0], [0, 0, 2, -1, -1], [-1, 0, -1, 7, -2], [0, 0, -1, -2, 4]]]]], ['v0765', [7, 5, 2], [[80, [[2, -1, 0, -1], [-1, 7, 0, -4], [0, 0, 3, -2], [-1, -4, -2, 7]]], [81, [[2, -1, -1, 0, 0], [-1, 2, 0, -1, 0], [-1, 0, 7, 0, -4], [0, -1, 0, 3, -1], [0, 0, -4, -1, 5]]]]], ['v0847', [7, 4, 4], [[84, [[2, -1, 0, -1, 0], [-1, 2, 0, 0, -1], [0, 0, 2, 0, -1], [-1, 0, 0, 4, -2], [0, -1, -1, -2, 7]]], [85, [[2, -1, 0, 0, -1, 0], [-1, 2, -1, 0, 0, 0], [0, -1, 2, 0, 0, 0], [0, 0, 0, 2, 0, -1], [-1, 0, 0, 0, 4, -2], [0, 0, 0, -1, -2, 5]]]]], ['v0912', [7, 6, 2, 2, 2], [[98, [[2, -1, 0, 0, -1], [-1, 2, -1, 0, 0], [0, -1, 4, 0, -2], [0, 0, 0, 4, -3], [-1, 0, -2, -3, 7]]], [99, [[2, 0, 0, -1, 0, 0], [0, 2, -1, 0, 0, -1], [0, -1, 2, -1, 0, 0], [-1, 0, -1, 4, 0, -1], [0, 0, 0, 0, 4, -3], [0, -1, 0, -1, -3, 5]]]]], ['v0939', [5, 5, 4, 2], [[71, [[2, 0, 0, -1], [0, 6, -3, -2], [0, -3, 5, -1], [-1, -2, -1, 4]]], [72, [[2, 0, 0, 0, -1], [0, 2, 0, 0, -1], [0, 0, 4, -1, 0], [0, 0, -1, 3, -1], [-1, -1, 0, -1, 3]]]]], ['v0945', [8, 5, 3, 2, 2], [[107, [[2, 0, 0, -1, -1], [0, 3, 0, -1, 0], [0, 0, 6, -1, -2], [-1, -1, -1, 3, 0], [-1, 0, -2, 0, 3]]], [108, [[2, 0, 0, 0, 0, -1], [0, 2, 0, 0, -1, 0], [0, 0, 3, 0, 0, -1], [0, 0, 0, 4, -2, -2], [0, -1, 0, -2, 3, 0], [-1, 0, -1, -2, 0, 4]]]]], ['v1077', [7, 7, 3, 3, 2], [[121, [[2, 0, -1, 0, 0], [0, 2, 0, 0, -1], [-1, 0, 3, -1, 0], [0, 0, -1, 5, -2], [0, -1, 0, -2, 4]]], [122, [[2, 0, 0, -1, 0, -1], [0, 2, 0, -1, 0, 0], [0, 0, 2, 0, 0, -1], [-1, -1, 0, 3, 0, 0], [0, 0, 0, 0, 3, -2], [-1, 0, -1, 0, -2, 5]]]]], ['v1109', [7, 7, 4, 2, 2], [[123, [[2, 0, -1, 0, 0], [0, 2, 0, 0, -1], [-1, 0, 6, -2, -2], [0, 0, -2, 3, -1], [0, -1, -2, -1, 5]]], [124, [[2, 0, 0, 0, 0, -1], [0, 2, 0, -1, 0, 0], [0, 0, 2, 0, 0, -1], [0, -1, 0, 4, -2, -1], [0, 0, 0, -2, 3, -1], [-1, 0, -1, -1, -1, 5]]]]], ['v1300', [7, 3], [[61, [[2, -1, 0, 0], [-1, 2, -1, 0], [0, -1, 6, -1], [0, 0, -1, 4]]], [62, [[2, -1, 0, 0, -1], [-1, 2, -1, 0, 0], [0, -1, 2, -1, 0], [0, 0, -1, 6, -1], [-1, 0, 0, -1, 4]]]]], ['v1392', [7, 3, 2], [[63, [[6, -2, -1], [-2, 5, -1], [-1, -1, 3]]], [64, [[2, -1, 0, -1], [-1, 7, -2, -1], [0, -2, 3, 0], [-1, -1, 0, 3]]]]], ['v1547', [7, 4, 2], [[70, [[6, -2, -2], [-2, 5, -2], [-2, -2, 5]]], [71, [[2, -1, 0, 0], [-1, 6, -1, -2], [0, -1, 3, -2], [0, -2, -2, 5]]]]], ['v1620', [4, 4, 4, 3, 3], [[68, [[2, 0, 0, 0, -1, 0], [0, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0], [0, 0, -1, 2, 0, -1], [-1, -1, 0, 0, 6, -4], [0, 0, 0, -1, -4, 5]]], [69, [[2, -1, 0, 0, 0, 0, -1], [-1, 2, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, -1, 0], [0, 0, 0, 2, -1, 0, 0], [0, 0, 0, -1, 2, 0, -1], [0, 0, -1, 0, 0, 4, -3], [-1, 0, 0, 0, -1, -3, 5]]]]], ['v1628', [7, 4, 3, 3], [[85, [[2, 0, 0, 0, -1], [0, 2, -1, 0, -1], [0, -1, 3, 0, 0], [0, 0, 0, 5, -1], [-1, -1, 0, -1, 3]]], [86, [[2, -1, 0, 0, -1, 0], [-1, 2, 0, 0, 0, -1], [0, 0, 2, -1, 0, -1], [0, 0, -1, 3, 0, 0], [-1, 0, 0, 0, 5, -1], [0, -1, -1, 0, -1, 3]]]]], ['v1690', [7, 4, 3, 2, 2], [[83, [[2, 0, 0, -1, 0], [0, 3, 0, 0, -1], [0, 0, 3, -2, -1], [-1, 0, -2, 5, -1], [0, -1, -1, -1, 3]]], [84, [[2, 0, 0, -1, 0, 0], [0, 2, 0, 0, -1, 0], [0, 0, 3, 0, 0, -1], [-1, 0, 0, 3, -1, -1], [0, -1, 0, -1, 3, -1], [0, 0, -1, -1, -1, 3]]]]], ['v1709', [7, 5, 3, 2], [[88, [[5, -2, -1, -1], [-2, 6, -1, -2], [-1, -1, 3, 0], [-1, -2, 0, 3]]], [89, [[2, -1, 0, -1, 0], [-1, 4, 0, -1, -1], [0, 0, 3, 0, -2], [-1, -1, 0, 3, 0], [0, -1, -2, 0, 4]]]]], ['v1716', [7, 3, 3, 2, 2], [[76, [[2, 0, -1, 0, -1], [0, 2, 0, -1, -1], [-1, 0, 5, -1, -1], [0, -1, -1, 4, 0], [-1, -1, -1, 0, 3]]], [77, [[2, 0, 0, -1, 0, -1], [0, 2, 0, 0, -1, -1], [0, 0, 2, 0, 0, -1], [-1, 0, 0, 4, -1, 0], [0, -1, 0, -1, 3, 0], [-1, -1, -1, 0, 0, 3]]]]], ['v1718', [8, 3, 3, 3], [[93, [[2, 0, 0, -1, -1], [0, 2, -1, 0, -1], [0, -1, 2, 0, 0], [-1, 0, 0, 5, -2], [-1, -1, 0, -2, 6]]], [94, [[2, -1, 0, 0, -1, 0], [-1, 2, 0, 0, 0, 0], [0, 0, 2, -1, 0, -1], [0, 0, -1, 2, 0, 0], [-1, 0, 0, 0, 5, -2], [0, 0, -1, 0, -2, 4]]]]], ['v1728', [6, 5, 2, 2, 2], [[74, [[2, -1, 0, 0, -1], [-1, 2, -1, 0, 0], [0, -1, 4, -1, -1], [0, 0, -1, 5, -2], [-1, 0, -1, -2, 4]]], [75, [[2, 0, 0, -1, 0, 0], [0, 2, -1, 0, 0, 0], [0, -1, 2, 0, -1, 0], [-1, 0, 0, 3, -1, -1], [0, 0, -1, -1, 3, -1], [0, 0, 0, -1, -1, 4]]]]], ['v1810', [5, 5, 5, 4, 2, 2], [[100, [[2, 0, 0, -1, 0, -1], [0, 2, -1, 0, 0, 0], [0, -1, 2, 0, 0, -1], [-1, 0, 0, 6, -2, -2], [0, 0, 0, -2, 3, 0], [-1, 0, -1, -2, 0, 4]]], [101, [[2, 0, 0, 0, 0, 0, -1], [0, 2, 0, 0, -1, -1, 0], [0, 0, 2, -1, 0, 0, 0], [0, 0, -1, 2, 0, 0, -1], [0, -1, 0, 0, 4, -1, 0], [0, -1, 0, 0, -1, 3, -1], [-1, 0, 0, -1, 0, -1, 3]]]]], ['v1832', [6, 5, 3, 3], [[81, [[2, 0, 0, -1, 0], [0, 2, -1, 0, -1], [0, -1, 5, -1, -2], [-1, 0, -1, 4, -1], [0, -1, -2, -1, 4]]], [82, [[2, -1, 0, 0, 0, 0], [-1, 2, 0, -1, 0, 0], [0, 0, 2, 0, -1, 0], [0, -1, 0, 3, -1, -1], [0, 0, -1, -1, 4, -1], [0, 0, 0, -1, -1, 3]]]]], ['v1839', [9, 5, 3, 2], [[120, [[6, -1, -1, -2], [-1, 6, -2, -1], [-1, -2, 3, 0], [-2, -1, 0, 3]]], [121, [[2, -1, 0, -1, 0], [-1, 6, -1, 0, -2], [0, -1, 3, 0, -1], [-1, 0, 0, 3, 0], [0, -2, -1, 0, 3]]]]], ['v1921', [8, 5, 2, 2], [[98, [[2, -1, -1, 0], [-1, 6, 0, -3], [-1, 0, 5, -1], [0, -3, -1, 4]]], [99, [[2, 0, 0, 0, -1], [0, 2, 0, -1, 0], [0, 0, 7, -2, -3], [0, -1, -2, 3, 0], [-1, 0, -3, 0, 4]]]]], ['v1940', [7, 6, 3, 3], [[105, [[2, 0, 0, 0, -1], [0, 2, -1, 0, -1], [0, -1, 5, 0, -3], [0, 0, 0, 3, -2], [-1, -1, -3, -2, 7]]], [106, [[2, -1, 0, 0, 0, 0], [-1, 2, 0, -1, 0, 0], [0, 0, 2, -1, 0, -1], [0, -1, -1, 5, 0, -2], [0, 0, 0, 0, 3, -2], [0, 0, -1, -2, -2, 5]]]]], ['v1966', [8, 6, 3, 3], [[120, [[2, 0, -1, 0, -1], [0, 2, -1, 0, -1], [-1, -1, 4, 0, -1], [0, 0, 0, 3, -2], [-1, -1, -1, -2, 7]]], [121, [[2, -1, 0, -1, 0, 0], [-1, 2, 0, 0, 0, 0], [0, 0, 2, -1, 0, -1], [-1, 0, -1, 4, 0, -1], [0, 0, 0, 0, 3, -2], [0, 0, -1, -1, -2, 5]]]]], ['v1980', [5, 3, 3, 2], [[48, [[2, 0, 0, -1], [0, 5, -3, -1], [0, -3, 5, -1], [-1, -1, -1, 3]]], [49, [[2, 0, -1, 0, -1], [0, 2, 0, 0, -1], [-1, 0, 4, -1, -1], [0, 0, -1, 3, 0], [-1, -1, -1, 0, 3]]]]], ['v1986', [6, 6, 4, 3], [[99, [[2, 0, -1, -1, 0], [0, 2, 0, 0, -1], [-1, 0, 3, 0, 0], [-1, 0, 0, 6, -3], [0, -1, 0, -3, 4]]], [100, [[2, -1, 0, -1, 0, 0], [-1, 2, 0, 0, 0, -1], [0, 0, 2, 0, 0, -1], [-1, 0, 0, 3, 0, 0], [0, 0, 0, 0, 4, -2], [0, -1, -1, 0, -2, 4]]]]], ['v2024', [6, 6, 5, 2, 2], [[106, [[2, 0, 0, -1, 0], [0, 2, 0, 0, -1], [0, 0, 4, -1, 0], [-1, 0, -1, 5, -2], [0, -1, 0, -2, 3]]], [107, [[2, 0, 0, -1, 0, -1], [0, 2, 0, 0, -1, -1], [0, 0, 2, 0, 0, -1], [-1, 0, 0, 4, 0, 0], [0, -1, 0, 0, 3, -1], [-1, -1, -1, 0, -1, 4]]]]], ['v2090', [9, 4, 4, 2, 2], [[122, [[2, 0, -1, 0, -1], [0, 2, 0, -1, -1], [-1, 0, 5, 0, -2], [0, -1, 0, 3, -1], [-1, -1, -2, -1, 6]]], [123, [[2, 0, 0, -1, 0, 0], [0, 2, 0, -1, 0, -1], [0, 0, 2, 0, -1, -1], [-1, -1, 0, 5, 0, -1], [0, 0, -1, 0, 3, -1], [0, -1, -1, -1, -1, 4]]]]], ['v2215', [5, 5, 4, 3, 2], [[80, [[2, 0, 0, 0, -1], [0, 5, -2, -1, -1], [0, -2, 3, 0, -1], [0, -1, 0, 3, 0], [-1, -1, -1, 0, 3]]], [81, [[2, 0, 0, 0, -1, -1], [0, 2, 0, 0, 0, -1], [0, 0, 4, -1, -2, 0], [0, 0, -1, 3, 0, -1], [-1, 0, -2, 0, 3, 0], [-1, -1, 0, -1, 0, 3]]]]], ['v2325', [5, 5, 5, 3, 3], [[95, [[2, 0, 0, 0, -1, -1], [0, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, 0], [0, 0, -1, 2, 0, -1], [-1, -1, 0, 0, 6, -2], [-1, 0, 0, -1, -2, 4]]], [96, [[2, -1, 0, 0, 0, 0, 0], [-1, 2, 0, 0, 0, 0, -1], [0, 0, 2, 0, 0, -1, 0], [0, 0, 0, 2, -1, 0, 0], [0, 0, 0, -1, 2, 0, -1], [0, 0, -1, 0, 0, 4, -2], [0, -1, 0, 0, -1, -2, 4]]]]], ['v2759', [7, 4], [[68, [[2, -1, -1, 0], [-1, 2, 0, -1], [-1, 0, 6, -3], [0, -1, -3, 7]]], [69, [[2, -1, 0, -1, 0], [-1, 2, -1, 0, 0], [0, -1, 2, 0, 0], [-1, 0, 0, 6, -3], [0, 0, 0, -3, 5]]]]], ['v2930', [7, 3, 3, 3], [[78, [[2, 0, 0, 0, -1], [0, 2, -1, 0, -1], [0, -1, 2, 0, 0], [0, 0, 0, 6, -4], [-1, -1, 0, -4, 6]]], [79, [[2, -1, 0, 0, 0, 0], [-1, 2, 0, 0, -1, 0], [0, 0, 2, -1, 0, -1], [0, 0, -1, 2, 0, 0], [0, -1, 0, 0, 6, -3], [0, 0, -1, 0, -3, 4]]]]], ['v3354', [6, 6, 5, 3, 2], [[111, [[2, 0, 0, 0, -1], [0, 6, -1, -2, -3], [0, -1, 3, 0, 0], [0, -2, 0, 3, 0], [-1, -3, 0, 0, 4]]], [112, [[2, 0, 0, -1, 0, 0], [0, 2, 0, 0, 0, -1], [0, 0, 4, 0, -2, 0], [-1, 0, 0, 3, 0, -2], [0, 0, -2, 0, 3, -1], [0, -1, 0, -2, -1, 4]]]]]]
len(GOERITZ)

393

In addition we will need the following databases.

import pandas
import time 
import snappy 
import math

exceptional_filllings = pandas.read_csv("exceptional_fillings.csv") 
# We load Dunfield's list from of all exceptional surgeries along the SnapPy CensusKnots.
DBChomologies = pandas.read_csv("DBChomologies.csv") 
# We load a list of all alternating links in the HTLinkExteriors together with their homologies 
#(if the homology is cyclic) and their crossing numbers.
### REMARK: To build the list DBChomologies we need to run the code in the file Build_DBChomologies which 
#takes around 45 minutes. Here we just load it.

First we build a list of all possible integer alternating slopes (measured w.r.t. the SnapPy basis). Note that some integer slopes will not be integer in the SnapPy basis (we refer to the paper for more discussion).

def RecomputingSlopes(knot):
    """
    Given a knot such that the (1,0)-filling is S3, it returns an integer n such that lambda_snappy=n mu+ lambda_Seifert.
    Warning: If the (1,0)-filling is not S3 it returns False.
    """
    if exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot) & (exceptional_filllings['kind'] == 'S3')]['slope'].tolist()!=['(1, 0)']:
        return False
    M=snappy.Manifold(knot)
    M.dehn_fill([(0,1)])
    x=M.homology().order()
    M.dehn_fill([(1,1)])
    y=M.homology().order()
    if y+1==x:
        n=-x
    if y-1==x:
        n=x
    return n

def Seifert_slopes_to_geometric_slopes(knot,Seifert_slope):
    '''
    Takes as input a Seifert slope and returns the slope measured with respect to the SnapPy basis.
    '''
    S3_fillling_string=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot) & (exceptional_filllings['kind'] == 'S3')]['slope'].tolist()
    S3_filling_string_without_brackets=S3_fillling_string[0][1:-1]
    (a,b)=tuple(map(int, S3_filling_string_without_brackets.split(', ')))
    K=snappy.Manifold(knot)
    (c,d)=K.homological_longitude()
    (p,q)=Seifert_slope
    return (p*a+q*c,p*b+q*d)

### We create a list of all integer surgeries (measured w.r.t. the SnapPy basis).
start_time = time.time()
possible_integer_slopes=[]

for G in GOERITZ:
    if RecomputingSlopes(G[0])==False:
        for x in G[2]:
            (p,q)=Seifert_slopes_to_geometric_slopes(G[0],(x[0],1))
            if abs(p)>5 or abs(q)>5:
                (p,q)=Seifert_slopes_to_geometric_slopes(G[0],(-x[0],1))
            if q<0:
                (p,q)=(-p,-q)
            if q==0:
                (p,q)=(1,0)
            possible_integer_slopes.append([G[0],(p,q)])
    else:
        for x in G[2]:
            n=RecomputingSlopes(G[0])
            if n<0:
                possible_integer_slopes.append([G[0],(-x[0]-n,1)])
            if n>0:
                possible_integer_slopes.append([G[0],(x[0]-n,1)])
possible_integer_slopes.sort() 
print("--- Time taken: %s seconds ---" % (time.time() - start_time))

--- Time taken: 26.110875129699707 seconds ---

print(possible_integer_slopes)

[['m016', (-1, 1)], ['m016', (0, 1)], ['m071', (-1, 1)], ['m071', (0, 1)], ['m082', (0, 1)], ['m082', (1, 1)], ['m103', (-1, 1)], ['m103', (0, 1)], ['m118', (-1, 1)], ['m118', (0, 1)], ['m144', (-1, 1)], ['m144', (0, 1)], ['m194', (0, 1)], ['m194', (1, 1)], ['m198', (0, 1)], ['m198', (1, 1)], ['m239', (-1, 1)], ['m239', (0, 1)], ['m240', (-1, 1)], ['m240', (1, 0)], ['m270', (1, 0)], ['m270', (1, 1)], ['m276', (1, 0)], ['m276', (1, 1)], ['m281', (0, 1)], ['m281', (1, 1)], ['o9_00133', (-1, 1)], ['o9_00133', (0, 1)], ['o9_00168', (0, 1)], ['o9_00168', (1, 1)], ['o9_00644', (-1, 1)], ['o9_00644', (0, 1)], ['o9_00797', (-1, 1)], ['o9_00797', (0, 1)], ['o9_00815', (-1, 1)], ['o9_00815', (0, 1)], ['o9_01436', (0, 1)], ['o9_01436', (1, 1)], ['o9_01496', (-1, 1)], ['o9_01496', (0, 1)], ['o9_01584', (-1, 1)], ['o9_01584', (0, 1)], ['o9_01621', (0, 1)], ['o9_01621', (1, 1)], ['o9_01680', (1, 0)], ['o9_01680', (1, 1)], ['o9_01765', (-1, 1)], ['o9_01765', (1, 0)], ['o9_01953', (0, 1)], ['o9_01953', (1, 1)], ['o9_01955', (0, 1)], ['o9_01955', (1, 1)], ['o9_02255', (0, 1)], ['o9_02255', (1, 1)], ['o9_02340', (-1, 1)], ['o9_02340', (1, 0)], ['o9_02350', (0, 1)], ['o9_02350', (1, 1)], ['o9_02386', (-1, 1)], ['o9_02386', (1, 0)], ['o9_02655', (-1, 1)], ['o9_02655', (0, 1)], ['o9_02696', (-1, 1)], ['o9_02696', (0, 1)], ['o9_02706', (-1, 1)], ['o9_02706', (1, 0)], ['o9_02735', (1, 0)], ['o9_02735', (1, 1)], ['o9_02772', (-1, 1)], ['o9_02772', (0, 1)], ['o9_02786', (-2, 1)], ['o9_02786', (-1, 1)], ['o9_02794', (0, 1)], ['o9_02794', (1, 1)], ['o9_03032', (-1, 1)], ['o9_03032', (0, 1)], ['o9_03108', (-1, 1)], ['o9_03108', (0, 1)], ['o9_03118', (-1, 1)], ['o9_03118', (1, 0)], ['o9_03133', (0, 1)], ['o9_03133', (1, 1)], ['o9_03149', (1, 0)], ['o9_03149', (1, 1)], ['o9_03162', (0, 1)], ['o9_03162', (1, 1)], ['o9_03188', (0, 1)], ['o9_03188', (1, 1)], ['o9_03288', (1, 0)], ['o9_03288', (1, 1)], ['o9_03313', (0, 1)], ['o9_03313', (1, 1)], ['o9_03412', (1, 0)], ['o9_03412', (1, 1)], ['o9_03526', (-1, 1)], ['o9_03526', (1, 0)], ['o9_03586', (-1, 1)], ['o9_03586', (0, 1)], ['o9_03622', (-1, 1)], ['o9_03622', (0, 1)], ['o9_03802', (-1, 1)], ['o9_03802', (0, 1)], ['o9_03833', (-1, 1)], ['o9_03833', (0, 1)], ['o9_03932', (1, 0)], ['o9_03932', (1, 1)], ['o9_04106', (0, 1)], ['o9_04106', (1, 1)], ['o9_04205', (0, 1)], ['o9_04205', (1, 1)], ['o9_04245', (-1, 1)], ['o9_04245', (0, 1)], ['o9_04269', (-2, 1)], ['o9_04269', (-1, 1)], ['o9_04313', (1, 0)], ['o9_04313', (1, 1)], ['o9_04431', (1, 0)], ['o9_04431', (1, 1)], ['o9_04435', (1, 0)], ['o9_04435', (1, 1)], ['o9_04438', (-1, 1)], ['o9_04438', (0, 1)], ['o9_05021', (-1, 1)], ['o9_05021', (0, 1)], ['o9_05177', (-1, 1)], ['o9_05177', (0, 1)], ['o9_05229', (-1, 1)], ['o9_05229', (0, 1)], ['o9_05357', (-1, 1)], ['o9_05357', (0, 1)], ['o9_05426', (-1, 1)], ['o9_05426', (0, 1)], ['o9_05483', (-1, 1)], ['o9_05483', (0, 1)], ['o9_05562', (-1, 1)], ['o9_05562', (0, 1)], ['o9_05618', (-1, 1)], ['o9_05618', (0, 1)], ['o9_05860', (-1, 1)], ['o9_05860', (0, 1)], ['o9_05970', (-1, 1)], ['o9_05970', (0, 1)], ['o9_06060', (0, 1)], ['o9_06060', (1, 1)], ['o9_06128', (-1, 1)], ['o9_06128', (0, 1)], ['o9_06154', (0, 1)], ['o9_06154', (1, 1)], ['o9_06248', (-1, 1)], ['o9_06248', (0, 1)], ['o9_06301', (-1, 1)], ['o9_06301', (0, 1)], ['o9_07790', (-1, 1)], ['o9_07790', (0, 1)], ['o9_07893', (-1, 1)], ['o9_07893', (0, 1)], ['o9_07943', (0, 1)], ['o9_07943', (1, 0)], ['o9_07945', (-1, 1)], ['o9_07945', (0, 1)], ['o9_08006', (-1, 1)], ['o9_08006', (0, 1)], ['o9_08042', (0, 1)], ['o9_08042', (1, 0)], ['o9_08224', (1, 1)], ['o9_08224', (2, 1)], ['o9_08302', (1, 1)], ['o9_08302', (2, 1)], ['o9_08477', (0, 1)], ['o9_08477', (1, 1)], ['o9_08647', (1, 0)], ['o9_08647', (1, 1)], ['o9_08765', (-2, 1)], ['o9_08765', (-1, 1)], ['o9_08771', (1, 0)], ['o9_08771', (1, 1)], ['o9_08776', (0, 1)], ['o9_08776', (1, 0)], ['o9_08828', (-1, 1)], ['o9_08828', (0, 1)], ['o9_08831', (-2, 1)], ['o9_08831', (-1, 1)], ['o9_08852', (0, 1)], ['o9_08852', (1, 0)], ['o9_08875', (-1, 1)], ['o9_08875', (0, 1)], ['o9_09213', (0, 1)], ['o9_09213', (1, 1)], ['o9_09465', (-1, 1)], ['o9_09465', (0, 1)], ['o9_09808', (-1, 1)], ['o9_09808', (0, 1)], ['o9_10696', (0, 1)], ['o9_10696', (1, 0)], ['o9_11248', (1, 0)], ['o9_11248', (1, 1)], ['o9_11467', (0, 1)], ['o9_11467', (1, 0)], ['o9_11560', (0, 1)], ['o9_11560', (1, 0)], ['o9_11570', (0, 1)], ['o9_11570', (1, 1)], ['o9_11685', (1, 1)], ['o9_11685', (2, 1)], ['o9_11795', (-2, 1)], ['o9_11795', (-1, 1)], ['o9_11845', (-2, 1)], ['o9_11845', (-1, 1)], ['o9_11999', (1, 0)], ['o9_11999', (1, 1)], ['o9_12144', (0, 1)], ['o9_12144', (1, 0)], ['o9_12230', (0, 1)], ['o9_12230', (1, 0)], ['o9_12412', (1, 1)], ['o9_12412', (2, 1)], ['o9_12459', (-1, 1)], ['o9_12459', (1, 0)], ['o9_12519', (-1, 1)], ['o9_12519', (0, 1)], ['o9_12693', (-1, 1)], ['o9_12693', (0, 1)], ['o9_12736', (0, 1)], ['o9_12736', (1, 0)], ['o9_12757', (-1, 1)], ['o9_12757', (0, 1)], ['o9_12873', (-1, 1)], ['o9_12873', (0, 1)], ['o9_12892', (-2, 1)], ['o9_12892', (-1, 1)], ['o9_12919', (-2, 1)], ['o9_12919', (-1, 1)], ['o9_12971', (-1, 1)], ['o9_12971', (0, 1)], ['o9_13052', (-1, 1)], ['o9_13052', (1, 0)], ['o9_13056', (0, 1)], ['o9_13056', (1, 0)], ['o9_13125', (1, 0)], ['o9_13125', (1, 1)], ['o9_13182', (-2, 1)], ['o9_13182', (-1, 1)], ['o9_13188', (-1, 1)], ['o9_13188', (0, 1)], ['o9_13400', (-1, 1)], ['o9_13400', (0, 1)], ['o9_13403', (-2, 1)], ['o9_13403', (-1, 1)], ['o9_13433', (0, 1)], ['o9_13433', (1, 1)], ['o9_13508', (0, 1)], ['o9_13508', (1, 0)], ['o9_13537', (-2, 1)], ['o9_13537', (-1, 1)], ['o9_13604', (-1, 1)], ['o9_13604', (0, 1)], ['o9_13639', (0, 1)], ['o9_13639', (1, 1)], ['o9_13649', (1, 1)], ['o9_13649', (2, 1)], ['o9_13666', (1, 0)], ['o9_13666', (1, 1)], ['o9_13720', (0, 1)], ['o9_13720', (1, 1)], ['o9_13952', (0, 1)], ['o9_13952', (1, 1)], ['o9_14018', (0, 1)], ['o9_14018', (1, 0)], ['o9_14079', (-1, 1)], ['o9_14079', (0, 1)], ['o9_14136', (0, 1)], ['o9_14136', (1, 0)], ['o9_14364', (-2, 1)], ['o9_14364', (-1, 1)], ['o9_14376', (0, 1)], ['o9_14376', (1, 1)], ['o9_14495', (-2, 1)], ['o9_14495', (-1, 1)], ['o9_14599', (-1, 1)], ['o9_14599', (0, 1)], ['o9_14716', (-1, 1)], ['o9_14716', (0, 1)], ['o9_14831', (-1, 1)], ['o9_14831', (0, 1)], ['o9_14974', (0, 1)], ['o9_14974', (1, 1)], ['o9_15506', (1, 1)], ['o9_15506', (2, 1)], ['o9_15633', (0, 1)], ['o9_15633', (1, 1)], ['o9_15997', (-1, 1)], ['o9_15997', (0, 1)], ['o9_16065', (-1, 1)], ['o9_16065', (0, 1)], ['o9_16141', (-1, 1)], ['o9_16141', (0, 1)], ['o9_16157', (-1, 1)], ['o9_16157', (0, 1)], ['o9_16181', (0, 1)], ['o9_16181', (1, 1)], ['o9_16319', (-1, 1)], ['o9_16319', (0, 1)], ['o9_16356', (0, 1)], ['o9_16356', (1, 1)], ['o9_16527', (0, 1)], ['o9_16527', (1, 1)], ['o9_16642', (-1, 1)], ['o9_16642', (0, 1)], ['o9_16748', (-1, 1)], ['o9_16748', (0, 1)], ['o9_16920', (-1, 1)], ['o9_16920', (0, 1)], ['o9_17450', (-2, 1)], ['o9_17450', (-1, 1)], ['o9_18007', (-1, 1)], ['o9_18007', (0, 1)], ['o9_18209', (0, 1)], ['o9_18209', (1, 1)], ['o9_18633', (-2, 1)], ['o9_18633', (-1, 1)], ['o9_18813', (0, 1)], ['o9_18813', (1, 1)], ['o9_19130', (0, 1)], ['o9_19130', (1, 1)], ['o9_20219', (-1, 1)], ['o9_20219', (0, 1)], ['o9_21893', (-1, 1)], ['o9_21893', (1, 0)], ['o9_21918', (-1, 1)], ['o9_21918', (0, 1)], ['o9_22129', (-1, 1)], ['o9_22129', (0, 1)], ['o9_22477', (-1, 1)], ['o9_22477', (0, 1)], ['o9_22607', (0, 1)], ['o9_22607', (1, 1)], ['o9_22663', (-1, 1)], ['o9_22663', (0, 1)], ['o9_22698', (0, 1)], ['o9_22698', (1, 1)], ['o9_22925', (-1, 1)], ['o9_22925', (0, 1)], ['o9_23023', (0, 1)], ['o9_23023', (1, 1)], ['o9_23263', (0, 1)], ['o9_23263', (1, 1)], ['o9_23660', (0, 1)], ['o9_23660', (1, 1)], ['o9_23955', (-1, 1)], ['o9_23955', (0, 1)], ['o9_23961', (0, 1)], ['o9_23961', (1, 1)], ['o9_23977', (0, 1)], ['o9_23977', (1, 1)], ['o9_24149', (-1, 1)], ['o9_24149', (0, 1)], ['o9_24183', (1, 0)], ['o9_24183', (1, 1)], ['o9_24534', (-1, 1)], ['o9_24534', (1, 0)], ['o9_24592', (-1, 1)], ['o9_24592', (0, 1)], ['o9_24886', (-1, 1)], ['o9_24886', (0, 1)], ['o9_24889', (0, 1)], ['o9_24889', (1, 1)], ['o9_25595', (-1, 1)], ['o9_25595', (0, 1)], ['o9_26604', (0, 1)], ['o9_26604', (1, 1)], ['o9_26791', (-1, 1)], ['o9_26791', (0, 1)], ['o9_27155', (0, 1)], ['o9_27155', (1, 1)], ['o9_27261', (-1, 1)], ['o9_27261', (0, 1)], ['o9_27392', (-1, 1)], ['o9_27392', (0, 1)], ['o9_27480', (0, 1)], ['o9_27480', (1, 1)], ['o9_27737', (0, 1)], ['o9_27737', (1, 1)], ['o9_28113', (0, 1)], ['o9_28113', (1, 1)], ['o9_28153', (0, 1)], ['o9_28153', (1, 1)], ['o9_28529', (-1, 1)], ['o9_28529', (1, 0)], ['o9_28592', (-1, 1)], ['o9_28592', (0, 1)], ['o9_28746', (-1, 1)], ['o9_28746', (0, 1)], ['o9_28810', (0, 1)], ['o9_28810', (1, 1)], ['o9_29246', (-1, 1)], ['o9_29246', (0, 1)], ['o9_29436', (0, 1)], ['o9_29436', (1, 1)], ['o9_29529', (0, 1)], ['o9_29529', (1, 1)], ['o9_30375', (0, 1)], ['o9_30375', (1, 1)], ['o9_30721', (0, 1)], ['o9_30721', (1, 1)], ['o9_30790', (0, 1)], ['o9_30790', (1, 1)], ['o9_31165', (0, 1)], ['o9_31165', (1, 1)], ['o9_32132', (0, 1)], ['o9_32257', (0, 1)], ['o9_32257', (1, 1)], ['o9_32588', (0, 1)], ['o9_33526', (-1, 1)], ['o9_33526', (0, 1)], ['o9_33585', (-1, 1)], ['o9_33585', (0, 1)], ['o9_34403', (-1, 1)], ['o9_34403', (0, 1)], ['o9_35320', (-1, 1)], ['o9_35320', (0, 1)], ['o9_35549', (0, 1)], ['o9_35549', (1, 1)], ['o9_35682', (0, 1)], ['o9_35682', (1, 1)], ['o9_35736', (0, 1)], ['o9_35736', (1, 1)], ['o9_35772', (-1, 1)], ['o9_35772', (0, 1)], ['o9_37754', (1, 1)], ['o9_37941', (-1, 1)], ['o9_37941', (0, 1)], ['o9_39394', (0, 1)], ['o9_39394', (1, 1)], ['o9_39451', (1, 1)], ['o9_40179', (0, 1)], ['o9_43001', (0, 1)], ['o9_43679', (0, 1)], ['o9_43953', (0, 1)], ['o9_44054', (0, 1)], ['s042', (0, 1)], ['s042', (1, 1)], ['s068', (-1, 1)], ['s068', (0, 1)], ['s086', (-1, 1)], ['s086', (0, 1)], ['s104', (-1, 1)], ['s104', (0, 1)], ['s114', (-1, 1)], ['s114', (0, 1)], ['s294', (-1, 1)], ['s294', (0, 1)], ['s301', (0, 1)], ['s301', (1, 1)], ['s308', (-1, 1)], ['s308', (0, 1)], ['s336', (-2, 1)], ['s336', (-1, 1)], ['s344', (1, 0)], ['s344', (1, 1)], ['s346', (0, 1)], ['s346', (1, 1)], ['s367', (0, 1)], ['s367', (1, 1)], ['s369', (-1, 1)], ['s369', (1, 0)], ['s407', (-1, 1)], ['s407', (0, 1)], ['s582', (-1, 1)], ['s582', (0, 1)], ['s665', (0, 1)], ['s665', (1, 1)], ['s684', (0, 1)], ['s684', (1, 1)], ['s769', (0, 1)], ['s769', (1, 0)], ['s800', (-1, 1)], ['s800', (0, 1)], ['t00110', (0, 1)], ['t00110', (1, 1)], ['t00146', (-1, 1)], ['t00146', (0, 1)], ['t00324', (-1, 1)], ['t00324', (0, 1)], ['t00423', (-1, 1)], ['t00423', (0, 1)], ['t00434', (0, 1)], ['t00434', (1, 1)], ['t00729', (-1, 1)], ['t00729', (0, 1)], ['t00787', (0, 1)], ['t00787', (1, 1)], ['t00826', (0, 1)], ['t00826', (1, 1)], ['t00855', (-1, 1)], ['t00855', (0, 1)], ['t00873', (1, 0)], ['t00873', (1, 1)], ['t00932', (-1, 1)], ['t00932', (1, 0)], ['t01033', (0, 1)], ['t01033', (1, 1)], ['t01037', (-1, 1)], ['t01037', (0, 1)], ['t01125', (0, 1)], ['t01125', (1, 1)], ['t01216', (1, 0)], ['t01216', (1, 1)], ['t01268', (0, 1)], ['t01268', (1, 1)], ['t01292', (1, 0)], ['t01292', (1, 1)], ['t01318', (0, 1)], ['t01318', (1, 1)], ['t01368', (0, 1)], ['t01368', (1, 1)], ['t01409', (1, 0)], ['t01409', (1, 1)], ['t01422', (-2, 1)], ['t01422', (-1, 1)], ['t01424', (-1, 1)], ['t01424', (1, 0)], ['t01440', (0, 1)], ['t01440', (1, 1)], ['t01598', (-1, 1)], ['t01598', (1, 0)], ['t01636', (0, 1)], ['t01636', (1, 1)], ['t01646', (-1, 1)], ['t01646', (1, 0)], ['t01690', (0, 1)], ['t01690', (1, 1)], ['t01757', (-1, 1)], ['t01757', (0, 1)], ['t01834', (-1, 1)], ['t01834', (0, 1)], ['t01850', (1, 0)], ['t01850', (1, 1)], ['t01863', (0, 1)], ['t01863', (1, 1)], ['t01949', (1, 0)], ['t01949', (1, 1)], ['t02099', (-2, 1)], ['t02099', (-1, 1)], ['t02104', (-1, 1)], ['t02104', (0, 1)], ['t02238', (-1, 1)], ['t02238', (0, 1)], ['t02378', (-1, 1)], ['t02378', (0, 1)], ['t02398', (-1, 1)], ['t02398', (0, 1)], ['t02404', (-1, 1)], ['t02404', (0, 1)], ['t02470', (0, 1)], ['t02470', (1, 1)], ['t02537', (-1, 1)], ['t02537', (0, 1)], ['t02567', (-1, 1)], ['t02567', (0, 1)], ['t02639', (0, 1)], ['t02639', (1, 1)], ['t03566', (0, 1)], ['t03566', (1, 0)], ['t03607', (0, 1)], ['t03607', (1, 1)], ['t03709', (0, 1)], ['t03709', (1, 0)], ['t03713', (-2, 1)], ['t03713', (-1, 1)], ['t03781', (0, 1)], ['t03781', (1, 1)], ['t03864', (1, 1)], ['t03864', (2, 1)], ['t03956', (-2, 1)], ['t03956', (-1, 1)], ['t03979', (-1, 1)], ['t03979', (0, 1)], ['t04003', (-2, 1)], ['t04003', (-1, 1)], ['t04019', (-1, 1)], ['t04019', (0, 1)], ['t04102', (1, 1)], ['t04102', (2, 1)], ['t04180', (-1, 1)], ['t04180', (0, 1)], ['t04228', (0, 1)], ['t04228', (1, 0)], ['t04244', (1, 0)], ['t04244', (1, 1)], ['t04382', (0, 1)], ['t04382', (1, 1)], ['t04721', (1, 0)], ['t04721', (1, 1)], ['t05118', (-1, 1)], ['t05118', (0, 1)], ['t05239', (0, 1)], ['t05239', (1, 0)], ['t05390', (-2, 1)], ['t05390', (-1, 1)], ['t05425', (0, 1)], ['t05425', (1, 1)], ['t05426', (0, 1)], ['t05426', (1, 0)], ['t05538', (-1, 1)], ['t05538', (0, 1)], ['t05564', (-1, 1)], ['t05564', (0, 1)], ['t05578', (0, 1)], ['t05578', (1, 0)], ['t05658', (1, 0)], ['t05658', (1, 1)], ['t05663', (0, 1)], ['t05663', (1, 0)], ['t05674', (-1, 1)], ['t05674', (0, 1)], ['t05695', (-1, 1)], ['t05695', (0, 1)], ['t06001', (-1, 1)], ['t06001', (1, 0)], ['t06440', (-1, 1)], ['t06440', (0, 1)], ['t06463', (0, 1)], ['t06463', (1, 1)], ['t06525', (0, 1)], ['t06525', (1, 1)], ['t06570', (-1, 1)], ['t06570', (0, 1)], ['t06605', (0, 1)], ['t06605', (1, 1)], ['t07348', (-1, 1)], ['t07348', (0, 1)], ['t08111', (-1, 1)], ['t08111', (0, 1)], ['t08201', (0, 1)], ['t08201', (1, 1)], ['t08267', (0, 1)], ['t08267', (1, 1)], ['t08403', (-1, 1)], ['t08403', (0, 1)], ['t09016', (-1, 1)], ['t09016', (0, 1)], ['t09267', (0, 1)], ['t09267', (1, 1)], ['t09313', (0, 1)], ['t09313', (1, 1)], ['t09455', (-1, 1)], ['t09455', (0, 1)], ['t09580', (-1, 1)], ['t09580', (0, 1)], ['t09704', (-1, 1)], ['t09704', (0, 1)], ['t09852', (0, 1)], ['t09852', (1, 1)], ['t09954', (-1, 1)], ['t09954', (0, 1)], ['t10188', (0, 1)], ['t10230', (0, 1)], ['t10230', (1, 1)], ['t10462', (-1, 1)], ['t10462', (0, 1)], ['t10643', (0, 1)], ['t10643', (1, 1)], ['t10681', (-1, 1)], ['t10681', (0, 1)], ['t10985', (-1, 1)], ['t10985', (0, 1)], ['t11556', (-1, 1)], ['t11852', (0, 1)], ['t11852', (1, 1)], ['t12753', (0, 1)], ['v0082', (0, 1)], ['v0082', (1, 1)], ['v0114', (0, 1)], ['v0114', (1, 1)], ['v0165', (0, 1)], ['v0165', (1, 1)], ['v0220', (0, 1)], ['v0220', (1, 1)], ['v0223', (0, 1)], ['v0223', (1, 1)], ['v0330', (0, 1)], ['v0330', (1, 1)], ['v0398', (0, 1)], ['v0398', (1, 1)], ['v0407', (0, 1)], ['v0407', (1, 1)], ['v0424', (1, 0)], ['v0424', (1, 1)], ['v0434', (-1, 1)], ['v0434', (0, 1)], ['v0497', (1, 0)], ['v0497', (1, 1)], ['v0554', (0, 1)], ['v0554', (1, 1)], ['v0570', (0, 1)], ['v0570', (1, 1)], ['v0573', (-1, 1)], ['v0573', (0, 1)], ['v0707', (-2, 1)], ['v0707', (-1, 1)], ['v0709', (1, 0)], ['v0709', (1, 1)], ['v0715', (-1, 1)], ['v0715', (1, 0)], ['v0740', (0, 1)], ['v0740', (1, 1)], ['v0741', (1, 0)], ['v0741', (1, 1)], ['v0759', (-1, 1)], ['v0759', (0, 1)], ['v0765', (-1, 1)], ['v0765', (0, 1)], ['v0847', (-1, 1)], ['v0847', (1, 0)], ['v0912', (1, 0)], ['v0912', (1, 1)], ['v0939', (-1, 1)], ['v0939', (0, 1)], ['v0945', (0, 1)], ['v0945', (1, 1)], ['v1077', (0, 1)], ['v1077', (1, 1)], ['v1109', (-1, 1)], ['v1109', (0, 1)], ['v1300', (0, 1)], ['v1300', (1, 0)], ['v1392', (-2, 1)], ['v1392', (-1, 1)], ['v1547', (-2, 1)], ['v1547', (-1, 1)], ['v1620', (0, 1)], ['v1620', (1, 1)], ['v1628', (0, 1)], ['v1628', (1, 0)], ['v1690', (-2, 1)], ['v1690', (-1, 1)], ['v1709', (-1, 1)], ['v1709', (0, 1)], ['v1716', (1, 1)], ['v1716', (2, 1)], ['v1718', (-1, 1)], ['v1718', (0, 1)], ['v1728', (1, 1)], ['v1728', (2, 1)], ['v1810', (-1, 1)], ['v1810', (0, 1)], ['v1832', (0, 1)], ['v1832', (1, 1)], ['v1839', (-1, 1)], ['v1839', (0, 1)], ['v1921', (-1, 1)], ['v1921', (0, 1)], ['v1940', (0, 1)], ['v1940', (1, 0)], ['v1966', (0, 1)], ['v1966', (1, 0)], ['v1980', (-1, 1)], ['v1980', (0, 1)], ['v1986', (-1, 1)], ['v1986', (0, 1)], ['v2024', (0, 1)], ['v2024', (1, 1)], ['v2090', (-1, 1)], ['v2090', (0, 1)], ['v2215', (0, 1)], ['v2215', (1, 1)], ['v2325', (-1, 1)], ['v2325', (0, 1)], ['v2759', (0, 1)], ['v2759', (1, 1)], ['v2930', (-1, 1)], ['v2930', (0, 1)], ['v3354', (0, 1)], ['v3354', (1, 1)]]

len(possible_integer_slopes)

774

Next we sort these 774 possible integer alternating slopes into slopes which are hyperbolic and those which are not.

def is_hyperbolic(knot,slope):
    '''
    Uses Dunfield's data to read off if a given slope is hyperbolic.
    '''
    exceptional_slopes_strings=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['slope'].tolist()
    exceptional_slopes=[]
    for string in exceptional_slopes_strings:
        string_without_brackets=string[1:-1]
        exceptional_slopes.append(tuple(map(int, string_without_brackets.split(', '))))
    if slope in exceptional_slopes:
        return False
    else:
        return True

start_time = time.time()
possible_hyperbolic_slopes=[]
possible_non_hyperbolic_slopes=[]
for (knot,slope) in possible_integer_slopes:
    if is_hyperbolic(knot,slope)==True:
        possible_hyperbolic_slopes.append([knot,slope])
    else:
        possible_non_hyperbolic_slopes.append([knot,slope])
        
print("--- Time taken: %s seconds ---" % (time.time() - start_time))

--- Time taken: 6.542446613311768 seconds ---

len(possible_hyperbolic_slopes)

59

len(possible_non_hyperbolic_slopes)

715

First we handle the hyperbolic slopes. Here we just run through the HT link table take the double branched covers and search for a match.

def double_branched_cover(link):
    """
    Returns the double branched cover of the link.
    """
    L=link.copy()
    for i in range(L.num_cusps()):
        L.dehn_fill((2,0),i)
    for cov in L.covers(2):
        if (2.0, 0.0) not in cov.cusp_info('filling'):
            return cov

def better_is_isometric_to(X,Y,index):
    """
    Returns True if X and Y are isometric.
    Returns False if X and Y have different homologies. TO DO: Use volume to rigorously distinguish X and Y.
    Returns 'unclear' if SnapPy cannot verify it.
    The higher the index the harder SnapPy tries.
    """     
    w='unclear'
    if X.homology()!=Y.homology():
        w=False
    if w=='unclear':
        for i in (0,index):
            try:
                w=X.is_isometric_to(Y)
            except RuntimeError:
                pass
            except SnapPeaFatalError:
                pass
            if w==True:
                break
            if w==False:
                w='unclear'
            X.randomize()
            Y.randomize()
            i=i+1
    return w

def possible_DBC(homologies,max_crossings=15):
    """
    Takes a list of orders of homologies and returns a list consisting of all DBC of alternating links in the HT link table with that homologies together with the link names.
    """
    DBCList=[]
    LINKS=[]
    for order in homologies:
        LINKS=LINKS+DBChomologies.loc[(DBChomologies['homology']==order) & (DBChomologies['crossings']<=max_crossings)]['knot'].tolist()
    for link in LINKS:
        L=snappy.Manifold(link)
        D=double_branched_cover(L)
        DBCList.append([D,link])
    return DBCList

def is_alternating(knot,slope):
    K=snappy.Manifold(knot)
    K.dehn_fill(slope)
    DBC=possible_DBC([K.homology().order()],max_crossings=13) #13 crossings is sufficient by the result on the Goeritz matrices.
    for D in DBC:
        w=better_is_isometric_to(D[0],K,10)
        if w==True:
            return [[knot,slope,D[1]]]
    return False

start_time = time.time()
HYPERBOLIC_ALTERNATING_SLOPES=[]
UNCLEAR_HYPERBOLIC_SLOPES=[]
for (knot,slope) in possible_hyperbolic_slopes:
    w=is_alternating(knot,slope)
    if w==False:
        UNCLEAR_HYPERBOLIC_SLOPES.append([knot,slope])
    else:
        HYPERBOLIC_ALTERNATING_SLOPES=HYPERBOLIC_ALTERNATING_SLOPES+w
        
print("--- Time taken: %s seconds ---" % (time.time() - start_time))

--- Time taken: 30.411959886550903 seconds ---

print(UNCLEAR_HYPERBOLIC_SLOPES)

[]

HYPERBOLIC_ALTERNATING_SLOPES

[['o9_08224', (2, 1), 'K12a1178'],
 ['o9_08302', (2, 1), 'L12a1298'],
 ['o9_08765', (-2, 1), 'L12a987'],
 ['o9_08831', (-2, 1), 'K12a977'],
 ['o9_11685', (2, 1), 'K12a1169'],
 ['o9_11795', (-2, 1), 'K12a952'],
 ['o9_11845', (-2, 1), 'K12a1238'],
 ['o9_12412', (2, 1), 'K12a660'],
 ['o9_12892', (-2, 1), 'L12a998'],
 ['o9_12919', (-2, 1), 'K12a1236'],
 ['o9_13182', (-2, 1), 'K12a1262'],
 ['o9_13403', (-2, 1), 'K12a262'],
 ['o9_13537', (-2, 1), 'L12a912'],
 ['o9_13649', (2, 1), 'L12a1313'],
 ['o9_14364', (-2, 1), 'K12a1047'],
 ['o9_14495', (-2, 1), 'K12a617'],
 ['o9_15506', (2, 1), 'K12a349'],
 ['o9_17450', (-2, 1), 'L12a821'],
 ['o9_18633', (-2, 1), 'K12a779'],
 ['o9_23977', (1, 1), 'K12a989'],
 ['o9_26791', (-1, 1), 'K12a321'],
 ['o9_27155', (1, 1), 'L12a923'],
 ['o9_27261', (-1, 1), 'K12a635'],
 ['o9_28153', (1, 1), 'L12a1133'],
 ['o9_28746', (-1, 1), 'L12a1097'],
 ['o9_28810', (1, 1), 'K12a403'],
 ['o9_30375', (1, 1), 'K12a284'],
 ['o9_32132', (0, 1), 'K10a45'],
 ['o9_32257', (1, 1), 'L11a313'],
 ['o9_32588', (0, 1), 'L10a106'],
 ['o9_33526', (-1, 1), 'K10a72'],
 ['o9_34403', (-1, 1), 'K11a137'],
 ['o9_35320', (0, 1), 'K11a312'],
 ['o9_35682', (1, 1), 'K11a295'],
 ['o9_35772', (-1, 1), 'K11a320'],
 ['o9_37754', (1, 1), 'L10a76'],
 ['o9_37941', (-1, 1), 'K11a115'],
 ['o9_39394', (1, 1), 'K11a217'],
 ['o9_39451', (1, 1), 'K10a99'],
 ['o9_43001', (0, 1), 'L10a71'],
 ['o9_43679', (0, 1), 'K11a227'],
 ['o9_43953', (0, 1), 'K11a304'],
 ['o9_44054', (0, 1), 'L11a229'],
 ['t03713', (-2, 1), 'L11a328'],
 ['t03864', (2, 1), 'K11a215'],
 ['t03956', (-2, 1), 'L11a377'],
 ['t04003', (-2, 1), 'K11a158'],
 ['t04102', (2, 1), 'L11a239'],
 ['t05390', (-2, 1), 'K11a296'],
 ['t09580', (-1, 1), 'K11a148'],
 ['t10230', (1, 1), 'K10a97'],
 ['t10462', (-1, 1), 'L11a321'],
 ['t11556', (-1, 1), 'L9a20'],
 ['t11852', (1, 1), 'K10a45'],
 ['v1392', (-2, 1), 'K10a119'],
 ['v1547', (-2, 1), 'L10a80'],
 ['v1690', (-2, 1), 'L10a106'],
 ['v1716', (2, 1), 'K10a98'],
 ['v1728', (2, 1), 'K10a95']]

Next, we Dunfield's data to search for lens space surgeries and alternating surgeries to small Seifert fibered spaces.

#########################################################################################
#################### CODE FOR SEARCHING LENS SPACE SURGERIES ############################ 
#########################################################################################

def has_lens_space_surgery(knot,all=False):
    """
    Searches for lens space surgeries along the knot. If there exists no lens space surgery it returns False. 
    Otherwise it returns a lens space surgery slope together with the corresponding lens space.
    If all=True it returns all lens space surgery slopes together with the lens spaces.
    """
    lens_space_surgeries=[]
    slopes=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['slope'].tolist()
    kinds=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['kind'].tolist()
    regina_names=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['regina_name'].tolist()
    for i in range(0,len(kinds)):
        if kinds[i]=='lens_space':
            lens_space_surgeries.append([knot,slopes[i],regina_names[i]])
    if lens_space_surgeries==[]:
        return False
    if all:
        return lens_space_surgeries
    return [lens_space_surgeries[0]]

########################################################################################
#################### CODE FOR SEARCHING SFS SPACE SURGERIES ############################ 
########################################################################################

def read_off_invariants(regina_name):
    """
    Takes the regina_name of a small Seifert fibered space and returns a list with its Seifert invariants.
    For example: read_off_invariants('SFS [S2: (2,1) (3,1) (5,22)]') = [2, 1, 3, 1, 5, 22]
    """
    set=[]
    invariants=[]
    set.append([regina_name.split()[2],regina_name.split()[3],regina_name.split()[4][:-1]])
    for z in set[0]:
        y=z[1:-1]
        y=y.replace(',',' ')
        for n in y.split():
            invariants.append(int(n))
    return invariants

def branching_set_of_small_SFS(invariants):
    """
    Takes as input the Seifert invariants of a small Seifert fibered space and identify the branching set of its quotient under the Z2-action.
    Example: The Seifert fibered space (in Regina's notation) 'SFS [S2: (2,1) (3,1) (5,22)]') is the double branched cover over
    branching_set_of_small_SFS([2, 1, 3, 1, 5, 22]) = K13a666(0,0)
    """
    T= snappy.RationalTangle(invariants[0],invariants[1])*snappy.RationalTangle(invariants[2],invariants[3])*snappy.RationalTangle(invariants[4],invariants[5])
    L=T.denominator_closure()
    B=L.exterior()
    if B.identify()!=[]:
        return B.identify()[-1].name()
    else:
        return []

def has_SFS_surgery(knot,all=False,alternating=False):
    """
    Searches for (small Seifert fibered space) SFS surgeries along the knot. If there exists no SFS surgery it returns False. 
    Otherwise it returns a SFS space surgery slope together with the corresponding SFS and the branching set.
    If all=True it returns all SFS surgery slopes together with the SFS and the branching sets.
    If alternating is True it returns only SFS surgeries where SnapPy can confirm the branching set to be alternating (Warning: This might not be all).
    """
    SFS_surgeries=[]
    slopes=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['slope'].tolist()
    kinds=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['kind'].tolist()
    regina_names=exceptional_filllings.loc[(exceptional_filllings['cusped'] == knot)]['regina_name'].tolist()
    for i in range(0,len(kinds)):
        if kinds[i]=='finite' or kinds[i]=='seifert_ator':
            B=branching_set_of_small_SFS(read_off_invariants(regina_names[i]))
            SFS_surgeries.append([knot,slopes[i],regina_names[i],B])
    if alternating:
        SFS_surgeries=[]
        for i in range(0,len(kinds)):
            if kinds[i]=='finite' or kinds[i]=='seifert_ator':
                B=branching_set_of_small_SFS(read_off_invariants(regina_names[i]))
                if B!=[]:
                    if snappy.Manifold(B).link().is_alternating()==True:
                        SFS_surgeries.append([knot,slopes[i],regina_names[i],B])
    if SFS_surgeries==[]:
        return False
    if all:
        return SFS_surgeries
    return [SFS_surgeries[0]]


##################################################################################################################################
################################# Search for non hyperbolic alternating surgeries ################################################
##################################################################################################################################

### We combine the lens space and SFS search to a single function.

def has_non_hyperbolic_alternating_surgery(knot,return_complete_list=False):
    """
    Searches for non-hyperbolic alternating surgeries. 
    Warning: Does not find any alternating surgeries to graph manifolds.
    """
    alternating_surgeries=[]
    w=has_lens_space_surgery(knot,all=True)
    if w!=False:
        alternating_surgeries=alternating_surgeries+w
    w=has_SFS_surgery(knot,alternating=True,all=True)
    if w!=False:
        alternating_surgeries=alternating_surgeries+w
    alternating_surgeries.sort()
    if return_complete_list==False:
        if alternating_surgeries==[]:
            return alternating_surgeries
        return alternating_surgeries[0]
    return alternating_surgeries

start_time = time.time()
SEIFERT_FIBERED_ALTERNATING_SLOPES=[]
for (knot,slope) in possible_non_hyperbolic_slopes:
    ALT_strings=has_non_hyperbolic_alternating_surgery(knot,return_complete_list=True)
    ALT_slopes=[]
    for x in ALT_strings:
        string=x[1]
        string_without_brackets=string[1:-1]
        if len(x)==3:
            ALT_slopes.append([x[0],tuple(map(int, string_without_brackets.split(', '))),x[2]])
        if len(x)==4:
            ALT_slopes.append([x[0],tuple(map(int, string_without_brackets.split(', '))),x[2],x[3]])
    SEIFERT_FIBERED_ALTERNATING_SLOPES=SEIFERT_FIBERED_ALTERNATING_SLOPES+[x for x in ALT_slopes if x[1]==slope] 

UNCLEAR_NON_HYPERBOLIC_SLOPES=[x for x in possible_non_hyperbolic_slopes if x not in [[x[0],x[1]] for x in SEIFERT_FIBERED_ALTERNATING_SLOPES]]

print("--- Time taken: %s seconds ---" % (time.time() - start_time))

--- Time taken: 245.3493902683258 seconds ---

len(SEIFERT_FIBERED_ALTERNATING_SLOPES)

531

SEIFERT_FIBERED_ALTERNATING_SLOPES

[['m016', (-1, 1), 'L(19,7)'],
 ['m016', (0, 1), 'L(18,5)'],
 ['m071', (-1, 1), 'L(31,11)'],
 ['m071', (0, 1), 'L(32,7)'],
 ['m082', (0, 1), 'L(27,8)'],
 ['m082', (1, 1), 'SFS [S2: (2,1) (2,1) (5,2)]', 'L8a3'],
 ['m103', (-1, 1), 'SFS [S2: (2,1) (2,1) (3,8)]', 'L9a16'],
 ['m103', (0, 1), 'L(43,12)'],
 ['m118', (-1, 1), 'L(30,11)'],
 ['m118', (0, 1), 'L(31,12)'],
 ['m144', (-1, 1), 'SFS [S2: (2,1) (3,1) (5,2)]', 'K9a9'],
 ['m144', (0, 1), 'L(36,11)'],
 ['m194', (0, 1), 'L(37,10)'],
 ['m194', (1, 1), 'SFS [S2: (2,1) (2,1) (7,2)]', 'L9a7'],
 ['m198', (0, 1), 'SFS [S2: (2,1) (3,1) (4,3)]', 'L9a24'],
 ['m198', (1, 1), 'L(39,16)'],
 ['m239', (0, 1), 'L(34,13)'],
 ['m240', (-1, 1), 'SFS [S2: (2,1) (2,1) (5,4)]', 'L9a12'],
 ['m240', (1, 0), 'L(37,10)'],
 ['m270', (1, 0), 'L(45,19)'],
 ['m270', (1, 1), 'SFS [S2: (2,1) (3,2) (4,3)]', 'L9a23'],
 ['m276', (1, 0), 'L(50,19)'],
 ['m276', (1, 1), 'SFS [S2: (2,1) (3,2) (3,5)]', 'K9a5'],
 ['m281', (0, 1), 'SFS [S2: (2,1) (3,2) (5,2)]', 'K9a4'],
 ['m281', (1, 1), 'L(46,17)'],
 ['o9_00133', (-1, 1), 'SFS [S2: (2,1) (3,2) (5,16)]', 'K13a633'],
 ['o9_00133', (0, 1), 'L(132,25)'],
 ['o9_00168', (0, 1), 'L(143,25)'],
 ['o9_00168', (1, 1), 'SFS [S2: (2,1) (3,2) (6,17)]', 'L13a2992'],
 ['o9_00644', (-1, 1), 'SFS [S2: (2,1) (5,2) (7,1)]', 'K13a646'],
 ['o9_00644', (0, 1), 'L(72,23)'],
 ['o9_00797', (-1, 1), 'L(215,49)'],
 ['o9_00797', (0, 1), 'L(214,49)'],
 ['o9_00815', (-1, 1), 'L(226,49)'],
 ['o9_00815', (0, 1), 'L(227,49)'],
 ['o9_01436', (0, 1), 'SFS [S2: (2,1) (3,1) (16,13)]', 'L13a4220'],
 ['o9_01436', (1, 1), 'SFS [S2: (2,1) (3,1) (5,22)]', 'K13a666'],
 ['o9_01496', (-1, 1), 'SFS [S2: (2,1) (4,3) (5,17)]', 'L13a1884'],
 ['o9_01496', (0, 1), 'SFS [S2: (2,1) (3,1) (19,15)]', 'K13a3215'],
 ['o9_01584', (0, 1), 'L(219,64)'],
 ['o9_01621', (0, 1), 'L(229,64)'],
 ['o9_01680', (1, 0), 'L(211,64)'],
 ['o9_01680', (1, 1), 'SFS [S2: (2,1) (4,3) (13,10)]', 'L13a2083'],
 ['o9_01765', (-1, 1), 'SFS [S2: (2,1) (4,3) (15,11)]', 'L13a1850'],
 ['o9_01765', (1, 0), 'L(237,64)'],
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 ['v1109', (-1, 1), 'SFS [S2: (2,1) (2,1) (13,18)]', 'L11a113'],
 ['v1109', (0, 1), 'SFS [S2: (3,2) (3,2) (8,3)]', 'K11a134'],
 ['v1300', (0, 1), 'L(61,16)'],
 ['v1300', (1, 0), 'SFS [S2: (2,1) (4,1) (5,4)]', 'L11a200'],
 ['v1392', (-1, 1), 'L(64,23)'],
 ['v1547', (-1, 1), 'L(71,26)'],
 ['v1620', (0, 1), 'SFS [S2: (3,1) (3,1) (7,3)]', 'K11a361'],
 ['v1620', (1, 1), 'SFS [S2: (2,1) (2,1) (13,4)]', 'L11a75'],
 ['v1628', (0, 1), 'SFS [S2: (2,1) (3,1) (4,11)]', 'L11a191'],
 ['v1628', (1, 0), 'SFS [S2: (2,1) (5,2) (5,4)]', 'K11a60'],
 ['v1690', (-1, 1), 'SFS [S2: (2,1) (3,2) (5,8)]', 'K10a3'],
 ['v1709', (0, 1), 'L(89,34)'],
 ['v1716', (1, 1), 'SFS [S2: (2,1) (2,1) (11,8)]', 'L10a25'],
 ['v1718', (-1, 1), 'SFS [S2: (2,1) (4,3) (7,3)]', 'L11a189'],
 ['v1718', (0, 1), 'SFS [S2: (2,1) (5,2) (7,3)]', 'K11a63'],
 ['v1728', (1, 1), 'SFS [S2: (2,1) (4,3) (5,3)]', 'L10a57'],
 ['v1810', (0, 1), 'L(100,39)'],
 ['v1832', (0, 1), 'L(81,31)'],
 ['v1839', (0, 1), 'L(121,46)'],
 ['v1921', (0, 1), 'L(99,29)'],
 ['v1940', (0, 1), 'SFS [S2: (2,1) (4,3) (5,7)]', 'L11a155'],
 ['v1940', (1, 0), 'SFS [S2: (2,1) (3,2) (9,7)]', 'K11a16'],
 ['v1966', (0, 1), 'SFS [S2: (3,2) (4,3) (5,3)]', 'K11a87'],
 ['v1966', (1, 0), 'SFS [S2: (2,1) (2,1) (11,19)]', 'L11a77'],
 ['v1980', (0, 1), 'L(49,18)'],
 ['v1986', (0, 1), 'L(99,29)'],
 ['v2024', (0, 1), 'SFS [S2: (2,1) (5,3) (7,3)]', 'K11a10'],
 ['v2024', (1, 1), 'SFS [S2: (2,1) (4,3) (5,7)]', 'L11a155'],
 ['v2090', (-1, 1), 'SFS [S2: (3,2) (3,2) (5,7)]', 'K11a78'],
 ['v2090', (0, 1), 'SFS [S2: (2,1) (5,2) (8,5)]', 'L11a157'],
 ['v2215', (0, 1), 'L(80,31)'],
 ['v2325', (0, 1), 'L(95,39)'],
 ['v2759', (0, 1), 'SFS [S2: (2,1) (3,1) (9,4)]', 'K11a260'],
 ['v2759', (1, 1), 'SFS [S2: (2,1) (3,1) (10,3)]', 'L11a259'],
 ['v2930', (0, 1), 'L(79,23)'],
 ['v3354', (1, 1), 'SFS [S2: (3,2) (3,2) (7,3)]', 'K11a202']]

len(UNCLEAR_NON_HYPERBOLIC_SLOPES)

184

UNCLEAR_NON_HYPERBOLIC_SLOPES

[['m239', (-1, 1)],
 ['o9_01584', (-1, 1)],
 ['o9_01621', (1, 1)],
 ['o9_02655', (-1, 1)],
 ['o9_02696', (-1, 1)],
 ['o9_02786', (-2, 1)],
 ['o9_03133', (1, 1)],
 ['o9_03313', (1, 1)],
 ['o9_03802', (-1, 1)],
 ['o9_04106', (1, 1)],
 ['o9_04205', (1, 1)],
 ['o9_04245', (-1, 1)],
 ['o9_04269', (-2, 1)],
 ['o9_04438', (-1, 1)],
 ['o9_05021', (-1, 1)],
 ['o9_05177', (-1, 1)],
 ['o9_05229', (-1, 1)],
 ['o9_05357', (-1, 1)],
 ['o9_05562', (-1, 1)],
 ['o9_05618', (-1, 1)],
 ['o9_05970', (-1, 1)],
 ['o9_06060', (1, 1)],
 ['o9_06154', (1, 1)],
 ['o9_07893', (-1, 1)],
 ['o9_07945', (-1, 1)],
 ['o9_08647', (1, 1)],
 ['o9_08771', (1, 1)],
 ['o9_08828', (-1, 1)],
 ['o9_08875', (-1, 1)],
 ['o9_09213', (1, 1)],
 ['o9_11999', (1, 1)],
 ['o9_12459', (-1, 1)],
 ['o9_12519', (-1, 1)],
 ['o9_12757', (-1, 1)],
 ['o9_12873', (-1, 1)],
 ['o9_12971', (-1, 1)],
 ['o9_13052', (-1, 1)],
 ['o9_13125', (1, 1)],
 ['o9_13188', (-1, 1)],
 ['o9_13433', (1, 1)],
 ['o9_13639', (1, 1)],
 ['o9_13666', (1, 1)],
 ['o9_13720', (1, 1)],
 ['o9_13952', (1, 1)],
 ['o9_14364', (-1, 1)],
 ['o9_14376', (1, 1)],
 ['o9_14495', (-1, 1)],
 ['o9_14716', (-1, 1)],
 ['o9_14831', (0, 1)],
 ['o9_14974', (1, 1)],
 ['o9_15506', (1, 1)],
 ['o9_15633', (1, 1)],
 ['o9_15997', (-1, 1)],
 ['o9_16065', (-1, 1)],
 ['o9_16141', (-1, 1)],
 ['o9_16157', (-1, 1)],
 ['o9_16181', (1, 1)],
 ['o9_16319', (-1, 1)],
 ['o9_16356', (1, 1)],
 ['o9_16527', (1, 1)],
 ['o9_16642', (-1, 1)],
 ['o9_16748', (-1, 1)],
 ['o9_16920', (0, 1)],
 ['o9_18007', (-1, 1)],
 ['o9_18209', (1, 1)],
 ['o9_18633', (-1, 1)],
 ['o9_18813', (1, 1)],
 ['o9_19130', (1, 1)],
 ['o9_20219', (-1, 1)],
 ['o9_21893', (-1, 1)],
 ['o9_21918', (-1, 1)],
 ['o9_22129', (-1, 1)],
 ['o9_22477', (-1, 1)],
 ['o9_22663', (0, 1)],
 ['o9_22698', (1, 1)],
 ['o9_22925', (-1, 1)],
 ['o9_23023', (1, 1)],
 ['o9_23263', (1, 1)],
 ['o9_23660', (1, 1)],
 ['o9_23955', (-1, 1)],
 ['o9_23961', (0, 1)],
 ['o9_24149', (-1, 1)],
 ['o9_24183', (1, 1)],
 ['o9_24534', (-1, 1)],
 ['o9_24592', (-1, 1)],
 ['o9_24886', (0, 1)],
 ['o9_24889', (1, 1)],
 ['o9_25595', (-1, 1)],
 ['o9_26604', (0, 1)],
 ['o9_26604', (1, 1)],
 ['o9_27392', (-1, 1)],
 ['o9_27480', (1, 1)],
 ['o9_27737', (0, 1)],
 ['o9_28113', (0, 1)],
 ['o9_28529', (-1, 1)],
 ['o9_28592', (0, 1)],
 ['o9_29246', (-1, 1)],
 ['o9_29436', (0, 1)],
 ['o9_29529', (0, 1)],
 ['o9_29529', (1, 1)],
 ['o9_30721', (0, 1)],
 ['o9_30721', (1, 1)],
 ['o9_30790', (0, 1)],
 ['o9_31165', (0, 1)],
 ['o9_31165', (1, 1)],
 ['o9_33526', (0, 1)],
 ['o9_33585', (-1, 1)],
 ['o9_33585', (0, 1)],
 ['o9_34403', (0, 1)],
 ['o9_35320', (-1, 1)],
 ['o9_35549', (0, 1)],
 ['o9_35549', (1, 1)],
 ['o9_35736', (0, 1)],
 ['o9_35736', (1, 1)],
 ['o9_37941', (0, 1)],
 ['o9_39394', (0, 1)],
 ['o9_40179', (0, 1)],
 ['s294', (-1, 1)],
 ['s336', (-2, 1)],
 ['s665', (1, 1)],
 ['s684', (1, 1)],
 ['s800', (-1, 1)],
 ['t00826', (1, 1)],
 ['t00855', (-1, 1)],
 ['t01318', (1, 1)],
 ['t01368', (1, 1)],
 ['t01422', (-2, 1)],
 ['t02099', (-2, 1)],
 ['t02104', (-1, 1)],
 ['t02238', (-1, 1)],
 ['t02398', (-1, 1)],
 ['t02404', (-1, 1)],
 ['t03979', (-1, 1)],
 ['t04180', (-1, 1)],
 ['t04244', (1, 1)],
 ['t04382', (1, 1)],
 ['t04721', (1, 1)],
 ['t05425', (1, 1)],
 ['t05538', (-1, 1)],
 ['t05564', (-1, 1)],
 ['t05658', (1, 1)],
 ['t05695', (-1, 1)],
 ['t06001', (-1, 1)],
 ['t06440', (-1, 1)],
 ['t06463', (1, 1)],
 ['t06525', (1, 1)],
 ['t06570', (-1, 1)],
 ['t06605', (1, 1)],
 ['t07348', (-1, 1)],
 ['t08111', (-1, 1)],
 ['t08201', (1, 1)],
 ['t08267', (1, 1)],
 ['t08403', (-1, 1)],
 ['t09016', (-1, 1)],
 ['t09267', (1, 1)],
 ['t09313', (1, 1)],
 ['t09455', (-1, 1)],
 ['t09704', (-1, 1)],
 ['t09852', (1, 1)],
 ['t09954', (-1, 1)],
 ['t09954', (0, 1)],
 ['t10188', (0, 1)],
 ['t10643', (0, 1)],
 ['t10681', (-1, 1)],
 ['t10985', (0, 1)],
 ['t11852', (0, 1)],
 ['t12753', (0, 1)],
 ['v0407', (1, 1)],
 ['v0434', (-1, 1)],
 ['v0707', (-2, 1)],
 ['v0759', (-1, 1)],
 ['v0939', (-1, 1)],
 ['v0945', (1, 1)],
 ['v1709', (-1, 1)],
 ['v1810', (-1, 1)],
 ['v1832', (1, 1)],
 ['v1839', (-1, 1)],
 ['v1921', (-1, 1)],
 ['v1980', (-1, 1)],
 ['v1986', (-1, 1)],
 ['v2215', (1, 1)],
 ['v2325', (-1, 1)],
 ['v2930', (-1, 1)],
 ['v3354', (0, 1)]]

For the remaining 184 unclear non hyperbolic fillings we proceed as follows.

We build for any of those fillings a list of DBCs of links in the HT link table that have the same homology as the filling. Then we run Dunfield's code on them to search for a match.

#### This is Dunfield's util.py from his exceptional census

####  for a snappy manifold M descibed as a single filling of a cusp (so do filled_triangulation() as needed) 
####  the command regina_name(M) gives what regina identifies M as

"""

This file provides functions for working with Regina (with a little
help from SnapPy) to:

1. Give a standard name ("identify") manifolds, especially Seifert and
   graph manifolds.

2. Find essential tori.

3. Try to compute the JSJ decomposition.

"""

import regina
import snappy
import re
import networkx as nx

def appears_hyperbolic(M):
    acceptable = ['all tetrahedra positively oriented',
                  'contains negatively oriented tetrahedra']
    return M.solution_type() in acceptable and M.volume() > 0

def children(packet):
    child = packet.firstChild()
    while child:
        yield child
        child = child.nextSibling()

def to_regina(data):
    if hasattr(data, '_to_string'):
        data = data._to_string()
    if isinstance(data, str):
        if data.find('(') > -1:
            data = closed_isosigs(data)[0]
        return regina.Triangulation3(data)
    assert isinstance(data, regina.Triangulation3)
    return data

def extract_vector(surface):
    """
    Extract the raw vector of the (almost) normal surface in Regina's
    NS_STANDARD coordinate system.
    """
    S = surface
    T = S.triangulation()
    n = T.countTetrahedra()
    ans = []
    for i in range(n):
        for j in range(4):
            ans.append(S.triangles(i, j))
        for j in range(3):
            ans.append(S.quads(i, j))
    A = regina.NormalSurface(T, regina.NS_STANDARD, ans)
    assert A.sameSurface(S)
    return ans

def haken_sum(S1, S2):
    T = S1.triangulation()
    assert S1.locallyCompatible(S2)
    v1, v2 = extract_vector(S1), extract_vector(S2)
    sum_vec = [x1 + x2 for x1, x2 in zip(v1, v2)]
    A = regina.NormalSurface(T, regina.NS_STANDARD, sum_vec)
    assert S1.locallyCompatible(A) and S2.locallyCompatible(A)
    assert S1.eulerChar() + S2.eulerChar() == A.eulerChar()
    return A


def census_lookup(regina_tri):
    """
    Should the input triangulation be in Regina's census, return the
    name of the manifold, dropping the triangulation number.
    """
    hits = regina.Census.lookup(regina_tri)
    hit = hits.first()
    if hit is not None:
        name = hit.name()
        match = re.search('(.*) : #\d+$', name)
        if match:
            return match.group(1)
        else:
            return match

def standard_lookup(regina_tri):
    match = regina.StandardTriangulation.isStandardTriangulation(regina_tri)
    if match:
        return match.manifold()

def closed_isosigs(snappy_manifold, trys=20, max_tets=50):
    """
    Generate a slew of 1-vertex triangulations of a closed manifold
    using SnapPy.
    
    >>> M = snappy.Manifold('m004(1,2)')
    >>> len(closed_isosigs(M, trys=5)) > 0
    True
    """
    M = snappy.Manifold(snappy_manifold)
    assert M.cusp_info('complete?') == [False]
    surgery_descriptions = [M.copy()]

    try:
        for curve in M.dual_curves():
            N = M.drill(curve)
            N.dehn_fill((1,0), 1)
            surgery_descriptions.append(N.filled_triangulation([0]))
    except snappy.SnapPeaFatalError:
        pass

    if len(surgery_descriptions) == 1:
        # Try again, but unfill the cusp first to try to find more
        # dual curves.
        try:
            filling = M.cusp_info(0).filling
            N = M.copy()
            N.dehn_fill((0, 0), 0)
            N.randomize()
            for curve in N.dual_curves():
                D = N.drill(curve)
                D.dehn_fill([filling, (1,0)])
                surgery_descriptions.append(D.filled_triangulation([0]))
        except snappy.SnapPeaFatalError:
            pass

    ans = set()
    for N in surgery_descriptions:
        for i in range(trys):
            T = N.filled_triangulation()
            if T._num_fake_cusps() == 1:
                n = T.num_tetrahedra()
                if n <= max_tets:
                    ans.add((n, T.triangulation_isosig(decorated=False)))
            N.randomize()

    return [iso for n, iso in sorted(ans)]

def best_match(matches):
    """
    Prioritize the most concise description that Regina provides to
    try to avoid things like the Seifert fibered space of a node being
    a solid torus or having several nodes that can be condensed into a
    single Seifert fibered piece.
    """
    
    def score(m):
        if isinstance(m, regina.SFSpace):
            s = 0
        elif isinstance(m, regina.GraphLoop):
            s = 1
        elif isinstance(m, regina.GraphPair):
            s = 2
        elif isinstance(m, regina.GraphTriple):
            s = 3
        elif m is None:
            s = 10000
        else:
            s = 4
        return (s, str(m))
    return min(matches, key=score)

def identify_with_torus_boundary(regina_tri):
    """
    Use the combined power of Regina and SnapPy to try to give a name
    to the input manifold.
    """
    
    kind, name = None, None
    
    P = regina_tri.clone()
    P.finiteToIdeal()
    P.intelligentSimplify()
    M = snappy.Manifold(P.isoSig())
    M.simplify()
    if appears_hyperbolic(M):
        for i in range(100):
            if M.solution_type() == 'all tetrahedra positively oriented':
                break
            M.randomize()
        
        if not M.verify_hyperbolicity(bits_prec=100):
            raise RuntimeError('Cannot prove hyperbolicity for ' +
                               M.triangulation_isosig())
        kind = 'hyperbolic'
        ids = M.identify()
        if ids:
            name = ids[0].name()
    else:
        match = standard_lookup(regina_tri)
        if match is None:
            Q = P.clone()
            Q.idealToFinite()
            Q.intelligentSimplify()
            match = standard_lookup(Q)
        if match is not None:
            kind = match.__class__.__name__
            name = str(match)
        else:
            name = P.isoSig()
    return kind, name
            
    
    

def is_toroidal(regina_tri):
    """
    Checks for essential tori and returns the pieces of the
    associated partial JSJ decomposition.
    
    >>> T = to_regina('hLALAkbccfefgglpkusufk')  # m004(4,1)
    >>> is_toroidal(T)[0]
    True
    >>> T = to_regina('hvLAQkcdfegfggjwajpmpw')  # m004(0,1)
    >>> is_toroidal(T)[0]
    True
    >>> T = to_regina('nLLLLMLPQkcdgfihjlmmlkmlhshnrvaqtpsfnf')  # 5_2(10,1)
    >>> T.isHaken()
    True
    >>> is_toroidal(T)[0]
    False

    Note: currently checks all fundamental normal tori; possibly
    the theory lets one just check *vertex* normal tori.
    """
    T = regina_tri
    assert T.isZeroEfficient()
    surfaces = regina.NNormalSurfaceList.enumerate(T,
                          regina.NS_QUAD, regina.NS_FUNDAMENTAL)
    for i in range(surfaces.size()):
        S = surfaces.surface(i)
        if S.eulerChar() == 0:
            if not S.isOrientable():
                S = S.doubleSurface()
            assert S.isOrientable()
            X = S.cutAlong()
            X.intelligentSimplify()
            X.splitIntoComponents()
            pieces = list(children(X))
            if all(not C.hasCompressingDisc() for C in pieces):
                ids = [identify_with_torus_boundary(C) for C in pieces]
                return (True, sorted(ids))
                
    return (False, None)


def decompose_along_tori(regina_tri):
    """
    First, finds all essential normal tori in the manifold associated
    with fundamental normal surfaces.  Then takes a maximal disjoint
    collection of these tori, namely the one with the fewest tori
    involved, and cuts the manifold open along it.  It tries to
    identify the pieces, removing any (torus x I) components. 

    Returns: (has essential torus, list of pieces)

    Note: This may fail to be the true JSJ decomposition because there
    could be (torus x I)'s in the list of pieces and it might well be
    possible to amalgamate some of the pieces into a single SFS.
    """
    
    T = regina_tri
    assert T.isZeroEfficient()
    essential_tori = []
    surfaces = regina.NNormalSurfaceList.enumerate(T,
                          regina.NS_QUAD, regina.NS_FUNDAMENTAL)
    for i in range(surfaces.size()):
        S = surfaces.surface(i)
        if S.eulerChar() == 0:
            if not S.isOrientable():
                S = S.doubleSurface()
            assert S.isOrientable()
            X = S.cutAlong()
            X.intelligentSimplify()
            X.splitIntoComponents()
            pieces = list(children(X))
            if all(not C.hasCompressingDisc() for C in pieces):
                essential_tori.append(S)

    if len(essential_tori) == 0:
        return False, None
    
    D = nx.Graph()
    for a, A in enumerate(essential_tori):
        for b, B in enumerate(essential_tori):
            if a < b:
                if A.disjoint(B):
                    D.add_edge(a, b)

    cliques = list(nx.find_cliques(D))
    if len(cliques) == 0:
        clique = [0]
    else:
        clique = min(cliques, key=len)
    clique = [essential_tori[c] for c in clique]
    A = clique[0]
    for B in clique[1:]:
        A = haken_sum(A, B)

    X = A.cutAlong()
    X.intelligentSimplify()
    X.splitIntoComponents()
    ids = [identify_with_torus_boundary(C) for C in list(children(X))]
    # Remove products
    ids = [i for i in ids if i[1] not in ('SFS [A: (1,1)]', 'A x S1')]
    return (True, sorted(ids))

def regina_name(closed_snappy_manifold, trys=100):
    """
    >>> regina_name('m004(1,0)')
    'S3'
    >>> regina_name('s006(-2, 1)')
    'SFS [A: (5,1)] / [ 0,-1 | -1,0 ]'
    >>> regina_name('m010(-1, 1)')
    'L(3,1) # RP3'
    >>> regina_name('m022(-1,1)')
    'SFS [S2: (3,2) (3,2) (4,-3)]'
    >>> regina_name('v0004(0, 1)')
    'SFS [S2: (2,1) (4,1) (15,-13)]'
    >>> regina_name('m305(1, 0)')
    'L(3,1) # RP3'
    """
    M = snappy.Manifold(closed_snappy_manifold)
    isosigs = closed_isosigs(M, trys=trys, max_tets=25)
    if len(isosigs) == 0:
        return
    T = to_regina(isosigs[0])
    if T.isIrreducible():
        if T.countTetrahedra() <= 11:
            for i in range(3):
                T.simplifyExhaustive(i)
                name = census_lookup(T)
                if name is not None:
                    return name
            
        matches = [standard_lookup(to_regina(iso)) for iso in isosigs]
        match = best_match(matches)
        if match is not None:
            return str(match)
    else:
        T.connectedSumDecomposition()
        pieces = [regina_name(P) for P in children(T)]
        if None not in pieces:
            return ' # '.join(sorted(pieces))

if __name__ == '__main__':
    import doctest
    print(doctest.testmod())

<>:84: DeprecationWarning: invalid escape sequence \d
<>:84: DeprecationWarning: invalid escape sequence \d
<ipython-input-24-4bef5675ef00>:84: DeprecationWarning: invalid escape sequence \d
  match = re.search('(.*) : #\d+$', name)
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing absolute_igusa_invariants_kohel from here is deprecated. If you need to use it, please import it directly from sage.schemes.hyperelliptic_curves.invariants
See https://trac.sagemath.org/28064 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing absolute_igusa_invariants_wamelen from here is deprecated. If you need to use it, please import it directly from sage.schemes.hyperelliptic_curves.invariants
See https://trac.sagemath.org/28064 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: this is being removed from the global namespace
See https://trac.sagemath.org/25785 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing all_max_clique from here is deprecated. If you need to use it, please import it directly from sage.graphs.cliquer
See https://trac.sagemath.org/26200 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing backtrack_all from here is deprecated. If you need to use it, please import it directly from sage.games.sudoku_backtrack
See https://trac.sagemath.org/27066 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing berlekamp_massey from here is deprecated. If you need to use it, please import it directly from sage.matrix.berlekamp_massey
See https://trac.sagemath.org/27066 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: this is being removed from the global namespace
See https://trac.sagemath.org/25785 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing buzzard_tpslopes from here is deprecated. If you need to use it, please import it directly from sage.modular.buzzard
See https://trac.sagemath.org/27066 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing clebsch_invariants from here is deprecated. If you need to use it, please import it directly from sage.schemes.hyperelliptic_curves.invariants
See https://trac.sagemath.org/28064 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing clique_number from here is deprecated. If you need to use it, please import it directly from sage.graphs.cliquer
See https://trac.sagemath.org/26200 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing convergents from here is deprecated. If you need to use it, please import it directly from sage.rings.continued_fraction
See https://trac.sagemath.org/27066 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:511: DeprecationWarning: sage.interacts.debugger is deprecated because it is meant for the deprecated Sage Notebook
See https://trac.sagemath.org/27531 for details.
  return hasattr(f, '__wrapped__')
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing designs_from_XML from here is deprecated. If you need to use it, please import it directly from sage.combinat.designs.ext_rep
See https://trac.sagemath.org/27066 for details.
  while _is_wrapper(func):
/usr/lib/python3.8/inspect.py:520: DeprecationWarning: 
Importing designs_from_XML_url from here is deprecated. If you need to use it, please import it directly from sage.combinat.designs.ext_rep
See https://trac.sagemath.org/27066 for details.
  while _is_wrapper(func):

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-24-4bef5675ef00> in <module>
    350 if __name__ == '__main__':
    351     import doctest
--> 352     print(doctest.testmod())

/usr/lib/python3.8/doctest.py in testmod(m, name, globs, verbose, report, optionflags, extraglobs, raise_on_error, exclude_empty)
   1953         runner = DocTestRunner(verbose=verbose, optionflags=optionflags)
   1954 
-> 1955     for test in finder.find(m, name, globs=globs, extraglobs=extraglobs):
   1956         runner.run(test)
   1957 

/usr/lib/python3.8/doctest.py in find(self, obj, name, module, globs, extraglobs)
    937         # Recursively explore `obj`, extracting DocTests.
    938         tests = []
--> 939         self._find(tests, obj, name, module, source_lines, globs, {})
    940         # Sort the tests by alpha order of names, for consistency in
    941         # verbose-mode output.  This was a feature of doctest in Pythons

/usr/lib/python3.8/doctest.py in _find(self, tests, obj, name, module, source_lines, globs, seen)
    996                 valname = '%s.%s' % (name, valname)
    997                 # Recurse to functions & classes.
--> 998                 if ((inspect.isroutine(inspect.unwrap(val))
    999                      or inspect.isclass(val)) and
   1000                     self._from_module(module, val)):

/usr/lib/python3.8/inspect.py in unwrap(func, stop)
    518     memo = {id(f): f}
    519     recursion_limit = sys.getrecursionlimit()
--> 520     while _is_wrapper(func):
    521         func = func.__wrapped__
    522         id_func = id(func)

/usr/lib/python3.8/inspect.py in _is_wrapper(f)
    509     if stop is None:
    510         def _is_wrapper(f):
--> 511             return hasattr(f, '__wrapped__')
    512     else:
    513         def _is_wrapper(f):

/usr/lib/python3/dist-packages/sage/misc/lazy_import.pyx in sage.misc.lazy_import.LazyImport.__getattr__ (build/cythonized/sage/misc/lazy_import.c:3536)()
    319             True
    320         """
--> 321         return getattr(self.get_object(), attr)
    322 
    323     # We need to wrap all the slot methods, as they are not forwarded

/usr/lib/python3/dist-packages/sage/misc/lazy_import.pyx in sage.misc.lazy_import.LazyImport.get_object (build/cythonized/sage/misc/lazy_import.c:2347)()
    186         if likely(self._object is not None):
    187             return self._object
--> 188         return self._get_object()
    189 
    190     cpdef _get_object(self):

/usr/lib/python3/dist-packages/sage/misc/lazy_import.pyx in sage.misc.lazy_import.LazyImport._get_object (build/cythonized/sage/misc/lazy_import.c:2586)()
    218         elif self._at_startup and not startup_guard:
    219             print('Option ``at_startup=True`` for lazy import {0} not needed anymore'.format(self._name))
--> 220         self._object = getattr(__import__(self._module, {}, {}, [self._name]), self._name)
    221         name = self._as_name
    222         if self._deprecation is not None:

ModuleNotFoundError: No module named 'sagenb'

Dunfield's code works for manifolds with one cusp and thus we need the following function that fills all but one cusp permanently.

def fill_triangulation(M):
    '''
    Fills all cusps but one.
    '''
    if M.num_cusps()==1:
        return M
    M=M.filled_triangulation([0])
    M=fill_triangulation(M)
    return M

start_time = time.time()
ALTERNATING_NON_HYPERBOLIC=[]
STILL_UNCLEAR=[]
for (knot,slope) in UNCLEAR_NON_HYPERBOLIC_SLOPES:
    K=snappy.Manifold(knot)
    K.dehn_fill(slope)
    K_reg=regina_name(K)
    DBC=possible_DBC([K.homology().order()],max_crossings=13)
    has_alter=False
    for D in DBC:
        DF=fill_triangulation(D[0])
        if regina_name(DF)==K_reg:
            ALTERNATING_NON_HYPERBOLIC.append([knot,slope,K_reg,D[1]])
            has_alter=True
            break
    if has_alter==False:
        STILL_UNCLEAR.append([knot,slope])
        
print("--- Time taken: %s hours ---" % ((time.time() - start_time)/3600))

--- Time taken: 2.0233842552370493 hours ---

len(ALTERNATING_NON_HYPERBOLIC)

184

len(STILL_UNCLEAR)

0

ALTERNATING_NON_HYPERBOLIC.sort()

for knot in GOERITZ:
    if len(knot[2])!=2:
        print(knot)

['o9_32132', [7, 5, 3], [[85, [[2, -1, -1, 0], [-1, 4, -1, -1], [-1, -1, 6, -2], [0, -1, -2, 4]]]]]
['o9_32588', [5, 5, 4, 3, 2, 2], [[84, [[2, 0, 0, -1, 0, 0], [0, 2, 0, 0, 0, -1], [0, 0, 3, -1, -1, -1], [-1, 0, -1, 3, 0, -1], [0, 0, -1, 0, 3, 0], [0, -1, -1, -1, 0, 3]]]]]
['o9_37754', [6, 6, 4, 3, 2], [[102, [[2, 0, 0, 0, -1], [0, 3, 0, -1, -1], [0, 0, 3, -1, -1], [0, -1, -1, 4, 0], [-1, -1, -1, 0, 3]]]]]
['o9_39451', [7, 6, 3, 2, 2], [[103, [[2, 0, -1, 0, 0], [0, 3, -1, -1, -1], [-1, -1, 3, -1, 0], [0, -1, -1, 4, -1], [0, -1, 0, -1, 4]]]]]
['o9_40179', [8, 7, 3, 2, 2], [[131, [[2, -1, 0, -1, 0], [-1, 4, 0, 0, -2], [0, 0, 4, 0, -3], [-1, 0, 0, 3, -1], [0, -2, -3, -1, 6]]]]]
['o9_43001', [8, 5, 4, 2, 2], [[114, [[2, 0, -1, 0, 0], [0, 4, -1, -1, -1], [-1, -1, 4, 0, -1], [0, -1, 0, 3, -1], [0, -1, -1, -1, 3]]]]]
['o9_43679', [7, 7, 5, 3, 3], [[143, [[2, 0, 0, 0, -1, -1], [0, 2, 0, -1, 0, -1], [0, 0, 2, 0, 0, -1], [0, -1, 0, 4, -1, -1], [-1, 0, 0, -1, 4, 0], [-1, -1, -1, -1, 0, 4]]]]]
['o9_43953', [9, 4, 3, 3], [[117, [[2, 0, -1, 0, -1], [0, 2, 0, 0, -1], [-1, 0, 5, -2, 0], [0, 0, -2, 5, -1], [-1, -1, 0, -1, 3]]]]]
['o9_44054', [9, 5, 3, 3], [[126, [[2, 0, 0, -1, 0], [0, 2, 0, 0, -1], [0, 0, 6, -2, -2], [-1, 0, -2, 4, -1], [0, -1, -2, -1, 4]]]]]
['t10188', [5, 4, 3, 2, 2], [[59, [[2, -1, 0, -1, 0], [-1, 4, 0, 0, -2], [0, 0, 3, -1, -1], [-1, 0, -1, 3, 0], [0, -2, -1, 0, 3]]]]]
['t11556', [6, 4, 3, 2], [[66, [[5, -1, -1, -2], [-1, 3, 0, -1], [-1, 0, 3, -1], [-2, -1, -1, 4]]]]]
['t12753', [7, 5, 3, 3], [[94, [[2, 0, -1, -1, 0], [0, 2, -1, 0, -1], [-1, -1, 4, 0, -1], [-1, 0, 0, 4, -1], [0, -1, -1, -1, 4]]]]]

ALTERNATING_NON_HYPERBOLIC

[['m239',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (3,1)], m = [ -1,1 | 0,1 ]',
  'K8a15'],
 ['o9_01584',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,3)], m = [ 0,-1 | 1,2 ]',
  'L13a339'],
 ['o9_01621',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,4)], m = [ 0,-1 | 1,2 ]',
  'L13a337'],
 ['o9_02655',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (17,5)], m = [ -1,1 | 0,1 ]',
  'K12a527'],
 ['o9_02696',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (18,5)], m = [ -1,1 | 0,1 ]',
  'L12a920'],
 ['o9_02786',
  (-2, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (6,1)], m = [ -1,1 | 0,1 ]',
  'K12a1095'],
 ['o9_03133',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,1)], m = [ 0,-1 | 1,2 ]',
  'L13a1959'],
 ['o9_03313',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (5,2)], m = [ 0,-1 | 1,2 ]',
  'K13a587'],
 ['o9_03802',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,1)], m = [ 2,1 | -1,0 ]',
  'L13a1665'],
 ['o9_04106',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,1)], m = [ -1,-1 | 4,3 ]',
  'L13a380'],
 ['o9_04205',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ -1,-1 | 4,3 ]',
  'L13a365'],
 ['o9_04245',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (4,3)], m = [ 0,-1 | 1,2 ]',
  'L13a1869'],
 ['o9_04269',
  (-2, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (4,1) (5,4)], m = [ -1,1 | 0,1 ]',
  'K12a1011'],
 ['o9_04438',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (5,3)], m = [ 0,-1 | 1,2 ]',
  'K13a60'],
 ['o9_05021',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,3)], m = [ 2,1 | -1,0 ]',
  'L13a765'],
 ['o9_05177',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,4)], m = [ 2,1 | -1,0 ]',
  'L13a763'],
 ['o9_05229',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,1)], m = [ -3,-1 | 4,1 ]',
  'L13a841'],
 ['o9_05357',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (5,2)], m = [ 2,1 | -1,0 ]',
  'K13a427'],
 ['o9_05562',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (4,3)], m = [ 2,1 | -1,0 ]',
  'L13a1595'],
 ['o9_05618',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ -3,-1 | 4,1 ]',
  'L13a790'],
 ['o9_05970',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (5,3)], m = [ 2,1 | -1,0 ]',
  'K13a18'],
 ['o9_06060',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (5,2) (7,2)], m = [ -1,1 | 0,1 ]',
  'K12a318'],
 ['o9_06154',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (5,3) (7,2)], m = [ -1,1 | 0,1 ]',
  'L12a835'],
 ['o9_07893', (-1, 1), 'SFS [RP2/n2: (2,1) (25,-18)]', 'L12a29'],
 ['o9_07945', (-1, 1), 'SFS [RP2/n2: (2,1) (29,-21)]', 'L12a26'],
 ['o9_08647',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (7,4)], m = [ 0,-1 | 1,1 ]',
  'L13a947'],
 ['o9_08771',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (8,5)], m = [ 0,-1 | 1,1 ]',
  'L13a574'],
 ['o9_08828',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (10,7)], m = [ 0,-1 | 1,0 ]',
  'L13a2834'],
 ['o9_08875',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (11,8)], m = [ 0,-1 | 1,0 ]',
  'K13a803'],
 ['o9_09213',
  (1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (5,1)], m = [ 1,1 | -1,0 ]',
  'K13a176'],
 ['o9_11999',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (4,3) (5,2)], m = [ 0,-1 | 1,1 ]',
  'L13a572'],
 ['o9_12459',
  (-1, 1),
  'SFS [D: (2,1) (5,1)] U/m SFS [D: (2,1) (7,5)], m = [ -1,1 | 0,1 ]',
  'K12a440'],
 ['o9_12519',
  (-1, 1),
  'SFS [D: (2,1) (5,1)] U/m SFS [D: (2,1) (7,2)], m = [ -1,1 | 0,1 ]',
  'K12a365'],
 ['o9_12757',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,1) (5,1)], m = [ 0,-1 | 1,0 ]',
  'L13a4367'],
 ['o9_12873',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (5,3)], m = [ 0,-1 | 1,1 ]',
  'L13a3024'],
 ['o9_12971',
  (-1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (4,1) (5,3)], m = [ -1,1 | 0,1 ]',
  'L12a558'],
 ['o9_13052',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (9,2)], m = [ 0,-1 | 1,0 ]',
  'K13a1413'],
 ['o9_13125',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (14,11)], m = [ -1,1 | 0,1 ]',
  'L12a841'],
 ['o9_13188',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (4,1) (7,2)], m = [ 0,-1 | 1,0 ]',
  'L13a674'],
 ['o9_13433',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (18,5)], m = [ -1,1 | 0,1 ]',
  'L12a920'],
 ['o9_13639',
  (1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (3,2) (7,4)], m = [ -1,1 | 0,1 ]',
  'L12a689'],
 ['o9_13666',
  (1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (7,3)], m = [ 0,-1 | 1,0 ]',
  'L13a1663'],
 ['o9_13720',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (11,3)], m = [ 0,-1 | 1,1 ]',
  'L13a318'],
 ['o9_13952',
  (1, 1),
  'SFS [D: (2,1) (7,5)] U/m SFS [D: (3,1) (3,1)], m = [ 0,-1 | 1,0 ]',
  'L13a3554'],
 ['o9_14364',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,4)], m = [ 1,1 | 0,-1 ]',
  'L12a62'],
 ['o9_14376',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (11,3)], m = [ 0,-1 | 1,0 ]',
  'L13a1116'],
 ['o9_14495',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ -1,-1 | 2,3 ]',
  'L12a66'],
 ['o9_14716',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (4,3)], m = [ 0,-1 | 1,1 ]',
  'K13a3243'],
 ['o9_14831', (0, 1), 'SFS [RP2/n2: (4,1) (5,-1)]', 'L11a51'],
 ['o9_14974',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (5,4)], m = [ 1,1 | -1,0 ]',
  'K13a1545'],
 ['o9_15506',
  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ -2,-1 | 3,2 ]',
  'L12a176'],
 ['o9_15633',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (18,13)], m = [ -1,1 | 0,1 ]',
  'L12a921'],
 ['o9_15997',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (4,3)], m = [ -1,-1 | 2,1 ]',
  'L13a707'],
 ['o9_16065',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,2) (5,3)], m = [ 0,-1 | 1,1 ]',
  'L13a2968'],
 ['o9_16141',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (7,5)], m = [ 0,-1 | 1,1 ]',
  'K13a148'],
 ['o9_16157',
  (-1, 1),
  'SFS [D: (2,1) (4,3)] U/m SFS [D: (3,2) (3,2)], m = [ 0,-1 | 1,1 ]',
  'L13a1842'],
 ['o9_16181',
  (1, 1),
  'SFS [D: (2,1) (7,5)] U/m SFS [D: (3,1) (3,2)], m = [ 0,-1 | 1,0 ]',
  'K13a811'],
 ['o9_16319',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (3,2)], m = [ -1,-1 | 2,1 ]',
  'K13a719'],
 ['o9_16356',
  (1, 1),
  'SFS [D: (2,1) (4,3)] U/m SFS [D: (3,1) (3,1)], m = [ 0,-1 | 1,1 ]',
  'L13a2089'],
 ['o9_16527',
  (1, 1),
  'SFS [D: (2,1) (4,3)] U/m SFS [D: (3,1) (4,3)], m = [ 0,-1 | 1,0 ]',
  'L13a1858'],
 ['o9_16642',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,5)], m = [ -1,-1 | 2,1 ]',
  'L13a354'],
 ['o9_16748',
  (-1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (11,8)], m = [ -1,1 | 0,1 ]',
  'L12a473'],
 ['o9_16920', (0, 1), 'SFS [RP2/n2: (4,1) (7,-2)]', 'L11a54'],
 ['o9_18007',
  (-1, 1),
  'SFS [D: (2,1) (9,2)] U/m SFS [D: (3,1) (3,2)], m = [ -1,1 | 0,1 ]',
  'L12a536'],
 ['o9_18209',
  (1, 1),
  'SFS [D: (2,1) (5,2)] U/m SFS [D: (3,1) (4,1)], m = [ 0,-1 | 1,0 ]',
  'K13a575'],
 ['o9_18633',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (4,3)], m = [ 1,1 | 0,-1 ]',
  'L12a184'],
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  'SFS [D: (2,1) (5,1)] U/m SFS [D: (3,1) (3,1)], m = [ 0,-1 | 1,0 ]',
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  'SFS [D: (2,1) (5,2)] U/m SFS [D: (3,1) (3,1)], m = [ 1,1 | -1,0 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (7,2)], m = [ 1,1 | -1,0 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (8,3)], m = [ 1,1 | -1,0 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (13,5)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (5,3)], m = [ 0,-1 | 1,0 ]',
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  'SFS [D: (3,1) (3,2)] U/m SFS [D: (3,1) (5,2)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (5,3)] U/m SFS [D: (2,1) (7,2)], m = [ 0,-1 | 1,0 ]',
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  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (5,2)], m = [ 1,1 | -1,0 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (3,2)], m = [ 2,1 | -1,0 ]',
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  'SFS [D: (2,1) (5,2)] U/m SFS [D: (3,1) (3,2)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (4,3) (5,2)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,3)], m = [ 0,-1 | 1,1 ]',
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  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (7,5)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (5,2)], m = [ -1,-1 | 2,1 ]',
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  'SFS [D: (3,1) (3,2)] U/m SFS [D: (3,2) (5,3)], m = [ 0,-1 | 1,0 ]',
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  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,2) (5,2)], m = [ 1,1 | -1,0 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (5,3)], m = [ 1,1 | -1,0 ]',
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  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,2) (3,2)], m = [ 0,-1 | 1,0 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (7,4)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,1)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (3,1)], m = [ -1,1 | 0,1 ]',
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ 0,-1 | 1,1 ]',
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (3,2)], m = [ 0,-1 | 1,0 ]',
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,2)], m = [ 0,-1 | 1,2 ]',
  'L12a100'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,3)], m = [ 0,-1 | 1,2 ]',
  'L12a97'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (10,3)], m = [ -1,1 | 0,1 ]',
  'L11a257'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (11,3)], m = [ -1,1 | 0,1 ]',
  'K11a81'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (5,1)], m = [ -1,1 | 0,1 ]',
  'K11a323'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (4,1) (4,3)], m = [ -1,1 | 0,1 ]',
  'L11a255'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (7,2)], m = [ -1,1 | 0,1 ]',
  'L11a234'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,2)], m = [ 2,1 | -1,0 ]',
  'L12a240'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,3)], m = [ 2,1 | -1,0 ]',
  'L12a239'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (7,2)], m = [ -1,1 | 0,1 ]',
  'K11a150'],
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  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (7,4)], m = [ -1,1 | 0,1 ]',
  'L11a144'],
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  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (4,1)], m = [ 1,1 | -1,0 ]',
  'L12a524'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,5)], m = [ 0,-1 | 1,1 ]',
  'L12a93'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (11,3)], m = [ 0,-1 | 1,0 ]',
  'L12a90'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,1) (4,3)], m = [ 0,-1 | 1,1 ]',
  'L12a250'],
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  'SFS [D: (2,1) (4,1)] U/m SFS [D: (3,1) (5,3)], m = [ -1,1 | 0,1 ]',
  'L11a212'],
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  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (7,2)], m = [ -1,1 | 0,1 ]',
  'L11a148'],
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  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,1) (7,2)], m = [ 0,-1 | 1,0 ]',
  'L12a202'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (9,7)], m = [ -1,1 | 0,1 ]',
  'K11a167'],
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  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,1) (4,1)], m = [ 0,-1 | 1,0 ]',
  'K12a93'],
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  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (5,2)], m = [ 0,-1 | 1,0 ]',
  'L12a523'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,3)], m = [ 1,1 | -1,0 ]',
  'L12a497'],
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  (1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,2) (3,2)], m = [ 0,-1 | 1,1 ]',
  'K12a79'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (11,8)], m = [ -1,1 | 0,1 ]',
  'K11a80'],
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  (-1, 1),
  'SFS [D: (2,1) (4,3)] U/m SFS [D: (3,1) (3,2)], m = [ 0,-1 | 1,0 ]',
  'L12a602'],
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  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (3,2)], m = [ -1,-1 | 2,1 ]',
  'L12a342'],
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  (-1, 1),
  'SFS [D: (2,1) (5,2)] U/m SFS [D: (3,1) (3,1)], m = [ -1,1 | 0,1 ]',
  'K10a12'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (4,3)], m = [ -1,1 | 0,1 ]',
  'K10a106'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (5,2)], m = [ -1,1 | 0,1 ]',
  'L10a84'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (11,8)], m = [ -1,1 | 0,1 ]',
  'K11a80'],
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  (-1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (7,2)], m = [ -1,1 | 0,1 ]',
  'L11a148'],
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  (-1, 1),
  'SFS [D: (2,1) (5,2)] U/m SFS [D: (2,1) (7,2)], m = [ -1,1 | 0,1 ]',
  'K11a52'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,1)], m = [ 0,-1 | 1,1 ]',
  'L12a529'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (5,2)], m = [ 0,-1 | 1,1 ]',
  'K12a129'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (4,1)], m = [ 0,-1 | 1,0 ]',
  'K12a355'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (5,3)], m = [ 0,-1 | 1,0 ]',
  'K12a271'],
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  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (4,3)], m = [ -1,1 | 0,1 ]',
  'K10a106'],
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  (-1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (5,3)], m = [ -1,1 | 0,1 ]',
  'L10a55'],
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  (0, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (7,3)], m = [ -1,1 | 0,1 ]',
  'K10a87'],
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  (0, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (5,2)], m = [ -1,1 | 0,1 ]',
  'K9a6'],
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  (0, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,1) (5,2)], m = [ 1,1 | -1,0 ]',
  'L12a363'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (5,3)], m = [ 0,-1 | 1,0 ]',
  'K12a271'],
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  (0, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (2,1) (5,2)], m = [ 1,1 | -1,0 ]',
  'K12a57'],
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  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (5,3)], m = [ -1,1 | 0,1 ]',
  'L10a85'],
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  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,1)], m = [ 0,-1 | 1,2 ]',
  'L11a36'],
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  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ 0,-1 | 1,2 ]',
  'L11a35'],
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  (-2, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,1) (4,1)], m = [ -1,1 | 0,1 ]',
  'K10a101'],
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  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,1)], m = [ 2,1 | -1,0 ]',
  'L11a85'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (3,2) (4,1)], m = [ -1,1 | 0,1 ]',
  'K10a91'],
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  (1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (3,2)], m = [ 2,1 | -1,0 ]',
  'L11a84'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (3,2)], m = [ 0,-1 | 1,1 ]',
  'K11a22'],
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  (1, 1),
  'SFS [D: (2,1) (4,1)] U/m SFS [D: (2,1) (5,3)], m = [ -1,1 | 0,1 ]',
  'L10a55'],
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  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (3,2) (3,2)], m = [ 0,-1 | 1,1 ]',
  'L11a57'],
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  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,3)], m = [ 0,-1 | 1,0 ]',
  'L11a153'],
 ['v1980', (-1, 1), 'SFS [RP2/n2: (3,1) (4,-1)]', 'L9a9'],
 ['v1986',
  (-1, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (7,2)], m = [ 0,-1 | 1,0 ]',
  'L11a26'],
 ['v2215',
  (1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (7,2)], m = [ -1,1 | 0,1 ]',
  'K10a39'],
 ['v2325',
  (-1, 1),
  'SFS [D: (2,1) (3,2)] U/m SFS [D: (3,1) (3,1)], m = [ 0,-1 | 1,0 ]',
  'L11a315'],
 ['v2930',
  (-1, 1),
  'SFS [D: (2,1) (3,1)] U/m SFS [D: (2,1) (4,1)], m = [ 0,-1 | 1,0 ]',
  'L11a164'],
 ['v3354',
  (0, 1),
  'SFS [D: (2,1) (2,1)] U/m SFS [D: (2,1) (5,2)], m = [ 1,1 | -1,0 ]',
  'L11a39']]