Files
Python/graphs/tests/test_min_spanning_tree_prim.py
Christian Clauss 0525ef5da8 ruff rule ANN202 missing-return-type-private-function (#15298)
* ruff rule ANN202 missing-return-type-private-function

* ruff rule ANN202 missing-return-type-private-function
2026-09-12 21:47:08 +02:00

47 lines
1009 B
Python

from collections import defaultdict
from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst
def test_prim_successful_result() -> None:
num_nodes, num_edges = 9, 14 # noqa: F841
edges = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
[7, 6, 1],
[2, 8, 2],
[8, 6, 6],
[2, 3, 7],
[2, 5, 4],
[6, 5, 2],
[3, 5, 14],
[3, 4, 9],
[5, 4, 10],
[1, 7, 11],
]
adjacency = defaultdict(list)
for node1, node2, cost in edges:
adjacency[node1].append([node2, cost])
adjacency[node2].append([node1, cost])
result = mst(adjacency)
expected = [
[7, 6, 1],
[2, 8, 2],
[6, 5, 2],
[0, 1, 4],
[2, 5, 4],
[2, 3, 7],
[0, 7, 8],
[3, 4, 9],
]
for answer in expected:
edge = tuple(answer[:2])
reverse = tuple(edge[::-1])
assert edge in result or reverse in result