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80 lines
2.6 KiB
Python
Executable file
80 lines
2.6 KiB
Python
Executable file
#! /usr/bin/env python
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'''
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Run this script from Source/Core/ to find all the #include cycles.
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'''
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import subprocess
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def get_local_includes_for(path):
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lines = open(path).read().split('\n')
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includes = [l.strip() for l in lines if l.strip().startswith('#include')]
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return [i.split()[1][1:-1] for i in includes if '"' in i.split()[1]]
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def find_all_files():
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'''Could probably use os.walk, but meh.'''
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f = subprocess.check_output(['find', '.', '-name', '*.h'],
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universal_newlines=True).strip().split('\n')
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return [p[2:] for p in f]
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def make_include_graph():
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return { f: get_local_includes_for(f) for f in find_all_files() }
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def strongly_connected_components(graph):
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"""
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Tarjan's Algorithm (named for its discoverer, Robert Tarjan) is a graph theory algorithm
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for finding the strongly connected components of a graph.
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Based on: http://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm
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"""
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index_counter = [0]
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stack = []
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lowlinks = {}
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index = {}
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result = []
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def strongconnect(node):
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# set the depth index for this node to the smallest unused index
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index[node] = index_counter[0]
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lowlinks[node] = index_counter[0]
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index_counter[0] += 1
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stack.append(node)
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# Consider successors of `node`
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try:
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successors = graph[node]
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except:
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successors = []
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for successor in successors:
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if successor not in lowlinks:
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# Successor has not yet been visited; recurse on it
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strongconnect(successor)
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lowlinks[node] = min(lowlinks[node],lowlinks[successor])
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elif successor in stack:
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# the successor is in the stack and hence in the current strongly connected component (SCC)
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lowlinks[node] = min(lowlinks[node],index[successor])
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# If `node` is a root node, pop the stack and generate an SCC
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if lowlinks[node] == index[node]:
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connected_component = []
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while True:
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successor = stack.pop()
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connected_component.append(successor)
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if successor == node: break
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component = tuple(connected_component)
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# storing the result
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result.append(component)
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for node in graph:
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if node not in lowlinks:
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strongconnect(node)
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return result
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if __name__ == '__main__':
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comp = strongly_connected_components(make_include_graph())
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for c in comp:
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if len(c) != 1:
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print(c)
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