Files
Python/graphs/page_rank.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

80 lines
1.8 KiB
Python

"""
Author: https://github.com/bhushan-borole
"""
"""
The input graph for the algorithm is:
A B C
A 0 1 1
B 0 0 1
C 1 0 0
"""
graph = [[0, 1, 1], [0, 0, 1], [1, 0, 0]]
class Node:
def __init__(self, name) -> None:
self.name = name
self.inbound = []
self.outbound = []
def add_inbound(self, node) -> None:
self.inbound.append(node)
def add_outbound(self, node) -> None:
self.outbound.append(node)
def __repr__(self) -> str:
return f"<node={self.name} inbound={self.inbound} outbound={self.outbound}>"
def page_rank(nodes, max_iter=100, d=0.85, tol=1e-8):
n = len(nodes)
ranks = {node.name: 1.0 / n for node in nodes}
outbounds = {}
for node in nodes:
outbounds[node.name] = len(node.outbound)
for _ in range(max_iter):
dangling_sum = sum(
ranks[node.name] for node in nodes if outbounds[node.name] == 0
)
new_ranks = {}
for node in nodes:
new_ranks[node.name] = (1 - d) / n + d * (
sum(ranks[ib] / outbounds[ib] for ib in node.inbound) + dangling_sum / n
)
if sum(abs(new_ranks[k] - ranks[k]) for k in ranks) < tol:
ranks = new_ranks
break
ranks = new_ranks
return ranks
def main() -> None:
names = list(input("Enter Names of the Nodes: ").split())
nodes = [Node(name) for name in names]
for ri, row in enumerate(graph):
for ci, col in enumerate(row):
if col == 1:
nodes[ci].add_inbound(names[ri])
nodes[ri].add_outbound(names[ci])
print("======= Nodes =======")
for node in nodes:
print(node)
ranks = page_rank(nodes)
print("======= Ranks =======")
print(ranks)
if __name__ == "__main__":
main()