def test_pagerank(property_graph: PropertyGraph):
property_name = "NewProp"
pagerank(property_graph, property_name)
node_schema: Schema = property_graph.node_schema()
num_node_properties = len(node_schema)
new_property_id = num_node_properties - 1
assert node_schema.names[new_property_id] == property_name
pagerank_assert_valid(property_graph, property_name)
stats = PagerankStatistics(property_graph, property_name)
assert stats.min_rank == approx(0.1499999761581421)
assert stats.max_rank == approx(1328.6629638671875, abs=0.06)
assert stats.average_rank == approx(0.5205338001251221, abs=0.001)
def run_pagerank(property_graph: PropertyGraph, _input_args):
property_name = "NewProp"
tolerance = 0.000001
max_iteration = 1000
alpha = 0.85
pagerank_plan = analytics.PagerankPlan.pull_topological(tolerance, max_iteration, alpha)
with time_block("pagerank"):
analytics.pagerank(property_graph, property_name, pagerank_plan)
check_schema(property_graph, property_name)
analytics.pagerank_assert_valid(property_graph, property_name)
stats = analytics.PagerankStatistics(property_graph, property_name)
print(f"STATS:\n{stats}")
property_graph.remove_node_property(property_name)