def get_sample_configuration():
hypothgraph = sample_graphs.sample_hypothgraph()
source, target = hypoth_conf.generate_rich_endpoints(hypothgraph)
subgraph = sub_hypothgraph.generate_sub_hypothgraph(
hypothgraph, source, target)
return hypothgraph, subgraph, source, target
def sample_big_and_small(ratio_endpoints_paths=0.5,
ratio_on_boundary_paths=0.5):
big = sample_graphs.sample_hypothgraph()
source, target = hypoth_conf.generate_rich_endpoints(big, min_nb_paths=5)
small = sub_hypothgraph.generate_sub_hypothgraph(
big,
source,
target,
ratio_endpoints_paths=ratio_endpoints_paths,
ratio_on_boundary_paths=ratio_on_boundary_paths,
data=True)
return big, small, source, target
def get_sample_hypothgraph_and_configurations():
hypothgraph = sample_graphs.sample_hypothgraph()
source, target = hypoth_conf.generate_rich_endpoints(hypothgraph)
partial_nodes = list(
boundary.partial_nodes_boundary_interior(hypothgraph, source, target))
full_nodes = list(
boundary.in_boundary_interior(hypothgraph, source, target))
nothing = Hypoth_Conf(source=source, target=target, evidenced_nodes=[])
partial = Hypoth_Conf(source=source,
target=target,
evidenced_nodes=partial_nodes)
full = Hypoth_Conf(source=source,
target=target,
evidenced_nodes=full_nodes)
return {
'hypothgraph': hypothgraph,
'nothing': nothing,
'partial_within': partial,
'full_within': full
}
def get_sample_hypothgraph():
return sample_graphs.sample_hypothgraph()