def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def init(num_players):
	global MAP_WIDTH,MAP_HEIGHT,N_ITERATIONS,H_RATIO,W_RATIO,MIN_ROOM_SIDE,CENTER_HUB_HOLE,CENTER_HUB_RADIO,MAP_NAME
	MAP_WIDTH=int(500*sqrt(num_players))
	MAP_HEIGHT=MAP_WIDTH
	N_ITERATIONS=log(MAP_WIDTH*100,2)
	H_RATIO=0.49
	W_RATIO=H_RATIO
	MIN_ROOM_SIDE = 32
	CENTER_HUB_HOLE = 32
	CENTER_HUB_RADIO = CENTER_HUB_HOLE-MIN_ROOM_SIDE/2
	MAP_NAME="result%s.png"%MAP_WIDTH