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2024-05-22 17:27:37 +02:00

2.2 KiB

id, title, challengeType, dashedName
id title challengeType dashedName
65579228c669fcbebffd01d5 Step 52 20 step-52

--description--

The other bug is subtle. When a shorter distance is found for a neighbor node, paths[current] gets assigned to the neighbor node path, paths[node].

This means both variables point to the same list. Since lists are mutable, when you append the neighbor node to its path, both paths[node] and paths[current] are modified because they are the same list. This results in wrong paths, although the distances are correct.

You can fix that bug by assigning a copy of paths[current] to the neighbor node path. For that you can use the slice syntax:

my_list[:]

Where my_list is the list you want to copy. Modify the existing paths[node] = paths[current] assignment inside your if block by slicing paths[current].

--hints--

You should assign paths[current][:] to the neighbor node path.

({ test: () => assert.match(code, /^(\s*)if\s+paths\s*\[\s*node\s*\]\s+and\s+paths\s*\[\s*node\s*\]\s*\[\s*-\s*1\s*\]\s*==\s*node\s*:\s*^\1\s{4}paths\s*\[\s*node\s*\]\s*=\s*paths\s*\[\s*current\s*\]\s*\[\s*::?\s*\]/ms) })

--seed--

--seed-contents--

my_graph = {
    'A': [('B', 3), ('D', 1)],
    'B': [('A', 3), ('C', 4)],
    'C': [('B', 4), ('D', 7)],
    'D': [('A', 1), ('C', 7)]
}

def shortest_path(graph, start):
    unvisited = list(graph)
    distances = {node: 0 if node == start else float('inf') for node in graph}
    paths = {node: [] for node in graph}
    paths[start].append(start)

    while unvisited:
        current = min(unvisited, key=distances.get)
        for node, distance in graph[current]:
            if distance + distances[current] < distances[node]:
                distances[node] = distance + distances[current]
--fcc-editable-region--                
                if paths[node] and paths[node][-1] == node:
                    paths[node] = paths[current]
--fcc-editable-region--                    
                else:
                    paths[node].extend(paths[current])
                paths[node].append(node)
        unvisited.remove(current)

    print(f'Unvisited: {unvisited}\nDistances: {distances}\nPaths: {paths}')

shortest_path(my_graph, 'A')