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top_sort.py
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top_sort.py
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GRAY, BLACK = 0, 1
def top_sort_recursive(graph):
""" Time complexity is the same as DFS, which is O(V + E)
Space complexity: O(V)
"""
order, enter, state = [], set(graph), {}
def dfs(node):
state[node] = GRAY
#print(node)
for k in graph.get(node, ()):
sk = state.get(k, None)
if sk == GRAY:
raise ValueError("cycle")
if sk == BLACK:
continue
enter.discard(k)
dfs(k)
order.append(node)
state[node] = BLACK
while enter: dfs(enter.pop())
return order
def top_sort(graph):
""" Time complexity is the same as DFS, which is O(V + E)
Space complexity: O(V)
"""
order, enter, state = [], set(graph), {}
def is_ready(node):
lst = graph.get(node, ())
if len(lst) == 0:
return True
for k in lst:
sk = state.get(k, None)
if sk == GRAY:
raise ValueError("cycle")
if sk != BLACK:
return False
return True
while enter:
node = enter.pop()
stack = []
while True:
state[node] = GRAY
stack.append(node)
for k in graph.get(node, ()):
sk = state.get(k, None)
if sk == GRAY:
raise ValueError("cycle")
if sk == BLACK:
continue
enter.discard(k)
stack.append(k)
while stack and is_ready(stack[-1]):
node = stack.pop()
order.append(node)
state[node] = BLACK
if len(stack) == 0:
break
node = stack.pop()
return order