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 get_active_users():
	data = frappe.db.sql("""select name,
		(select count(*) from tabSessions where user=tabUser.name
			and timediff(now(), lastupdate) < time("01:00:00")) as has_session
	 	from tabUser
		where enabled=1 and
		ifnull(user_type, '')!='Website User' and
		name not in ({})
		order by first_name""".format(", ".join(["%s"]*len(STANDARD_USERS))), STANDARD_USERS, as_dict=1)

	# make sure current user is at the top, using has_session = 100
	users = [d.name for d in data]

	if frappe.session.user in users:
		data[users.index(frappe.session.user)]["has_session"] = 100

	else:
		# in case of administrator
		data.append({"name": frappe.session.user, "has_session": 100})

	return data