def dijkstra(G, v): dist_so_far = priority_dict() dist_so_far[v] = 0 final_dist = {} dist = {} dist[v] = 0 shortest_paths = {} shortest_paths[v] = [[v]] while len(dist_so_far) != 0: w = dist_so_far.pop_smallest() # lock it down! final_dist[w] = dist[w] for x in G[w]: if x not in final_dist: if x not in dist: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] paths = [path + [x] for path in shortest_paths[w]] shortest_paths[x] = paths elif final_dist[w] + G[w][x] < dist[x]: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] paths = [path + [x] for path in shortest_paths[w]] shortest_paths[x] = paths elif final_dist[w] + G[w][x] == dist[x]: paths = [path + [x] for path in shortest_paths[w]] shortest_paths[x].extend(paths) dist_so_far[x] = final_dist[w] + G[w][x] return final_dist, shortest_paths
def dijkstra(G,v): dist_so_far = priority_dict() dist_so_far[v] = 0 final_dist = {} dist = {} dist[v] = 0 shortest_paths = {} shortest_paths[v] = [[v]] while len(dist_so_far) != 0: w = dist_so_far.pop_smallest() # lock it down! final_dist[w] = dist[w] for x in G[w]: if x not in final_dist: if x not in dist: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] paths = [path + [x] for path in shortest_paths[w]] shortest_paths[x] = paths elif final_dist[w] + G[w][x] < dist[x]: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] paths = [path + [x] for path in shortest_paths[w]] shortest_paths[x] = paths elif final_dist[w] + G[w][x] == dist[x]: paths = [path + [x] for path in shortest_paths[w]] shortest_paths[x].extend(paths) dist_so_far[x] = final_dist[w] + G[w][x] return final_dist, shortest_paths
def dijkstra(G,v): dist_so_far = priority_dict() dist_so_far[v] = 0 final_dist = {} dist = {} dist[v] = 0 while len(final_dist) < len(G) and len(dist_so_far) != 0: w = dist_so_far.pop_smallest() # lock it down! final_dist[w] = dist[w] for x in G[w]: if x not in final_dist: if x not in dist: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] elif final_dist[w] + G[w][x] < dist[x]: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] return final_dist
def dijkstra(G, v): dist_so_far = priority_dict() dist_so_far[v] = 0 final_dist = {} dist = {} dist[v] = 0 while len(final_dist) < len(G) and len(dist_so_far) != 0: w = dist_so_far.pop_smallest() # lock it down! final_dist[w] = dist[w] for x in G[w]: if x not in final_dist: if x not in dist: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] elif final_dist[w] + G[w][x] < dist[x]: dist[x] = final_dist[w] + G[w][x] dist_so_far[x] = final_dist[w] + G[w][x] return final_dist
def dijkstra(G, v): obscr_so_far = priority_dict() obscr_so_far[v] = 0 final_obscr = {} obscr = {} obscr[v] = 0 while len(final_obscr) < len(G) and len(obscr_so_far) != 0: w = obscr_so_far.pop_smallest() # lock it down! final_obscr[w] = obscr[w] for x in G[w]: if x not in final_obscr: new_obscr = max(final_obscr[w], G[w][x]) if x not in obscr: obscr[x] = new_obscr obscr_so_far[x] = new_obscr elif new_obscr < obscr[x]: obscr[x] = new_obscr obscr_so_far[x] = new_obscr return final_obscr
def dijkstra(G,v): obscr_so_far = priority_dict() obscr_so_far[v] = 0 final_obscr = {} obscr = {} obscr[v] = 0 while len(final_obscr) < len(G) and len(obscr_so_far) != 0: w = obscr_so_far.pop_smallest() # lock it down! final_obscr[w] = obscr[w] for x in G[w]: if x not in final_obscr: new_obscr = max(final_obscr[w], G[w][x]) if x not in obscr: obscr[x] = new_obscr obscr_so_far[x] = new_obscr elif new_obscr < obscr[x]: obscr[x] = new_obscr obscr_so_far[x] = new_obscr return final_obscr
def __init__(self): self.dict_edge_set = priority_dict() self.hash_tagset = {}