def setup_class(cls):
cls.NXGraph = nx.Graph
edgelist = os.path.expandvars(
"${GS_TEST_DIR}/dynamic/p2p-31_dynamic.edgelist")
cls.g = nx.read_edgelist(edgelist, nodetype=int, data=True)
cls.g.add_node(1, vdata_str="kdjfao")
cls.g.add_node(1, vdata_int=123)
def setup_class(cls):
cls.NXGraph = nx.DiGraph
data_dir = os.path.expandvars("${GS_TEST_DIR}/ldbc_sample")
cls.single_label_g = ldbc_sample_single_label(data_dir, True)
cls.multi_label_g = ldbc_sample_multi_labels(data_dir, True)
cls.p2p = load_p2p(os.path.expandvars("${GS_TEST_DIR}"), True)
cls.p2p_nx = nx.read_edgelist(
os.path.expandvars("${GS_TEST_DIR}/dynamic/p2p-31_dynamic.edgelist"),
nodetype=int,
data=True,
create_using=nx.DiGraph,
)
cls.str_oid_g = ldbc_sample_string_oid(data_dir, True)
def setup_class(cls):
cls.grid_edges = [
(1, 2),
(1, 5),
(2, 3),
(2, 6),
(3, 4),
(3, 7),
(4, 8),
(5, 6),
(5, 9),
(6, 7),
(6, 10),
(7, 8),
(7, 11),
(8, 12),
(9, 10),
(9, 13),
(10, 11),
(10, 14),
(11, 12),
(11, 15),
(12, 16),
(13, 14),
(14, 15),
(15, 16),
]
cls.grid = nx.Graph()
cls.grid.add_edges_from(cls.grid_edges, weight=1)
cls.grid_ans = {
1: 0,
5: 1,
2: 1,
9: 2,
6: 2,
3: 2,
13: 3,
10: 3,
7: 3,
4: 3,
14: 4,
11: 4,
8: 4,
15: 5,
12: 5,
16: 6,
}
cls.grid_path_ans = {
3: 7,
4: 8,
8: 12,
12: 16,
1: 5,
5: 9,
9: 13,
2: 3,
6: 10,
10: 14,
7: 11,
11: 15,
}
data_dir = os.path.expandvars("${GS_TEST_DIR}")
p2p_file = os.path.expandvars(
"${GS_TEST_DIR}/dynamic/p2p-31_dynamic.edgelist")
p2p_sub_file = os.path.expandvars(
"${GS_TEST_DIR}/dynamic/p2p-31_dynamic_subgraph.edgelist")
cls.p2p = nx.read_edgelist(p2p_file,
nodetype=int,
data=True,
create_using=nx.DiGraph)
cls.p2p_undirected = nx.read_edgelist(p2p_file,
nodetype=int,
data=True,
create_using=nx.Graph)
cls.p2p_subgraph = nx.read_edgelist(p2p_sub_file,
nodetype=int,
data=True,
create_using=nx.DiGraph)
cls.p2p_subgraph_undirected = nx.read_edgelist(p2p_sub_file,
nodetype=int,
data=True,
create_using=nx.Graph)
cls.p2p_length_ans = dict(
pd.read_csv("{}/p2p-31-sssp".format(data_dir),
sep=" ",
header=None,
prefix="").values)
cls.p2p_dc_ans = dict(
pd.read_csv(
"{}/p2p-31-degree_centrality".format(data_dir),
sep="\t",
header=None,
prefix="",
).values)
cls.p2p_ev_ans = dict(
pd.read_csv(
"{}/p2p-31-eigenvector".format(data_dir),
sep=" ",
header=None,
prefix="",
).values)
cls.p2p_kz_ans = dict(
pd.read_csv("{}/p2p-31-katz".format(data_dir),
sep="\t",
header=None,
prefix="").values)
cls.p2p_hits_ans = pd.read_csv(
"{}/p2p-31-hits-directed".format(data_dir),
sep="\t",
header=None,
prefix="")
cls.p2p_pagerank_ans = dict(
pd.read_csv(
"{}/p2p-31-pagerank_nx".format(data_dir),
sep="\t",
header=None,
prefix="",
).values)
cls.p2p_clus_ans = dict(
pd.read_csv("{}/p2p-31-clustering".format(data_dir),
sep=" ",
header=None,
prefix="").values)
cls.p2p_triangles_ans = dict(
pd.read_csv("{}/p2p-31-triangles".format(data_dir),
sep=" ",
header=None,
prefix="").values)
cls.p2p_kcore_ans = sorted(
pd.read_csv("{}/p2p-31-kcore".format(data_dir),
sep=" ",
header=None,
prefix="").values)
cls.empty_pagerank_ans = {}
