blob: 00f10daed4547ea2e8057ceb714d195fe15ad8e6 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
|
#! /usr/bin/env python3
'''
Run this script from Source/Core/ to find all the #include cycles.
'''
from typing import Iterator
from pathlib import Path
def get_local_includes_for(path: Path) -> Iterator[str]:
with path.open() as file:
for line in file:
line = line.strip()
if line.startswith("#include") and '"' in line:
yield line.split()[1].strip(' "')
def strongly_connected_components(graph: dict[str, list[str]]) -> list[tuple[str, ...]]:
"""
Tarjan's Algorithm (named for its discoverer, Robert Tarjan) is a graph theory algorithm
for finding the strongly connected components of a graph.
Based on: http://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm
"""
index_counter = [0]
stack = []
lowlinks = {}
index = {}
result = []
def strongconnect(node: str) -> None:
# set the depth index for this node to the smallest unused index
index[node] = index_counter[0]
lowlinks[node] = index_counter[0]
index_counter[0] += 1
stack.append(node)
# Consider successors of `node`
try:
successors = graph[node]
except:
successors = []
for successor in successors:
if successor not in lowlinks:
# Successor has not yet been visited; recurse on it
strongconnect(successor)
lowlinks[node] = min(lowlinks[node],lowlinks[successor])
elif successor in stack:
# the successor is in the stack and hence in the current strongly connected component (SCC)
lowlinks[node] = min(lowlinks[node],index[successor])
# If `node` is a root node, pop the stack and generate an SCC
if lowlinks[node] == index[node]:
connected_component = []
while True:
successor = stack.pop()
connected_component.append(successor)
if successor == node: break
component = tuple(connected_component)
# storing the result
result.append(component)
for node in graph:
if node not in lowlinks:
strongconnect(node)
return result
if __name__ == '__main__':
paths = Path(".").glob("**/*.h")
graph = {
path.as_posix(): list(get_local_includes_for(path))
for path in paths
}
components = strongly_connected_components(graph)
for component in components:
if len(component) != 1:
print(component)
|