def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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)