def test_set_var(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[:, subset_func(adata.var_names)]

    new_var = pd.DataFrame(
        dict(a=np.ones(subset.n_vars), b=np.ones(subset.n_vars)),
        index=subset.var_names,
    )

    assert subset.is_view
    subset.var = new_var
    assert not subset.is_view
    assert np.all(subset.var == new_var)

    assert joblib.hash(adata) == init_hash
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)