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__(self, container):
		self.x = container.x+randint(1, floor(container.w/3))
		self.y = container.y+randint(1, floor(container.h/3))
		self.w = container.w-(self.x-container.x)
		self.h = container.h-(self.y-container.y)
		self.w -= randint(0,floor(self.w/3))
		self.h -= randint(0,floor(self.w/3))
		self.environment = int(min(4,10*(container.distance_from_center/MAP_WIDTH)+random()*2-1))
		roll = random()*0.9+(2*container.distance_from_center/MAP_WIDTH)*0.1
		self.biome = next(n for n,b in enumerate(self.biomes_CDF) if roll<b)