fr/fr_env/lib/python3.8/site-packages/networkx/testing/utils.py

66 lines
1.7 KiB
Python

__all__ = [
"assert_nodes_equal",
"assert_edges_equal",
"assert_graphs_equal",
"almost_equal",
]
def almost_equal(x, y, places=7):
return round(abs(x - y), places) == 0
def assert_nodes_equal(nodes1, nodes2):
# Assumes iterables of nodes, or (node,datadict) tuples
nlist1 = list(nodes1)
nlist2 = list(nodes2)
try:
d1 = dict(nlist1)
d2 = dict(nlist2)
except (ValueError, TypeError):
d1 = dict.fromkeys(nlist1)
d2 = dict.fromkeys(nlist2)
assert d1 == d2
def assert_edges_equal(edges1, edges2):
# Assumes iterables with u,v nodes as
# edge tuples (u,v), or
# edge tuples with data dicts (u,v,d), or
# edge tuples with keys and data dicts (u,v,k, d)
from collections import defaultdict
d1 = defaultdict(dict)
d2 = defaultdict(dict)
c1 = 0
for c1, e in enumerate(edges1):
u, v = e[0], e[1]
data = [e[2:]]
if v in d1[u]:
data = d1[u][v] + data
d1[u][v] = data
d1[v][u] = data
c2 = 0
for c2, e in enumerate(edges2):
u, v = e[0], e[1]
data = [e[2:]]
if v in d2[u]:
data = d2[u][v] + data
d2[u][v] = data
d2[v][u] = data
assert c1 == c2
# can check one direction because lengths are the same.
for n, nbrdict in d1.items():
for nbr, datalist in nbrdict.items():
assert n in d2
assert nbr in d2[n]
d2datalist = d2[n][nbr]
for data in datalist:
assert datalist.count(data) == d2datalist.count(data)
def assert_graphs_equal(graph1, graph2):
assert graph1.adj == graph2.adj
assert graph1.nodes == graph2.nodes
assert graph1.graph == graph2.graph