from triacontagon.split import split_adj_mat
from triacontagon.util import _equal
import torch


def test_split_adj_mat_01():
    adj_mat = torch.tensor([
        [0, 1, 0, 0, 1],
        [0, 0, 1, 0, 1],
        [1, 0, 0, 1, 0],
        [0, 0, 1, 1, 0]
    ]).to_sparse()

    (res,) = split_adj_mat(adj_mat, (1.,))
    assert torch.all(_equal(res, adj_mat))


def test_split_adj_mat_02():
    adj_mat = torch.tensor([
        [0, 1, 0, 0, 1],
        [0, 0, 1, 0, 1],
        [1, 0, 0, 1, 0],
        [0, 0, 1, 1, 0]
    ]).to_sparse()

    a, b = split_adj_mat(adj_mat, ( .5, .5 ))
    assert torch.all(_equal(a+b, adj_mat))


def test_split_adj_mat_03():
    adj_mat = torch.tensor([
        [0, 1, 0, 0, 1],
        [0, 0, 1, 0, 1],
        [1, 0, 0, 1, 0],
        [0, 0, 1, 1, 0]
    ]).to_sparse()

    a, b, c = split_adj_mat(adj_mat, ( .8, .1, .1 ))
    print('a:', a.to_dense(), 'b:', b.to_dense(), 'c:', c.to_dense())

    assert torch.all(_equal(a+b+c, adj_mat))