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Merge branch 'joel_graph' of https://github.com/joelkurien/Python into joel_graph
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commit
b8c6beae72
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@ -23,8 +23,8 @@ class JohnsonGraph:
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# perform a dijkstra algorithm on a directed graph
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def dijkstra(self, s) -> dict:
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distances = {vertex: sys.maxsize-1 for vertex in self.graph}
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pq = [(0,s)]
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distances = {vertex: sys.maxsize - 1 for vertex in self.graph}
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pq = [(0, s)]
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distances[s] = 0
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while pq:
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weight, v = heapq.heappop(pq)
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@ -38,9 +38,9 @@ class JohnsonGraph:
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heapq.heappush(pq, (distances[node], node))
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return distances
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#carry out the bellman ford algorithm for a node and estimate its distance vector
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def bellman_ford(self, s) -> dict:
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distances = {vertex: sys.maxsize-1 for vertex in self.graph}
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# carry out the bellman ford algorithm for a node and estimate its distance vector
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def bellman_ford(self, s) -> dict:
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distances = {vertex: sys.maxsize - 1 for vertex in self.graph}
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distances[s] = 0
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for u in self.graph:
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@ -52,7 +52,7 @@ class JohnsonGraph:
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# perform the johnson algorithm to handle the negative weights that
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# could not be handled by either the dijkstra
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#or the bellman ford algorithm efficiently
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# or the bellman ford algorithm efficiently
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def johnson_algo(self) -> dict:
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self.add_vertices("#")
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for v in self.graph:
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