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dfs and bfs in python

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Beautiful Bat answered on August 17, 2021 Popularity 9/10 Helpfulness 1/10

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dfs and bfs in python

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def bfs(graph, start):
    visited, queue = set(), [start]
    while queue:
        vertex = queue.pop(0)
        if vertex not in visited:
            visited.add(vertex)
            queue.extend(graph[vertex] - visited)
    return visited

bfs(graph, 'A') # {'B', 'C', 'A', 'F', 'D', 'E'}

Popularity 9/10 Helpfulness 1/10 Language python

Source: eddmann.com

Tags: python

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Contributed on Aug 17 2021

Beautiful Bat

0 Answers Avg Quality 2/10

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dfs and bfs in python

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def dfs_paths(graph, start, goal, path=None):
    if path is None:
        path = [start]
    if start == goal:
        yield path
    for next in graph[start] - set(path):
        yield from dfs_paths(graph, next, goal, path + [next])

list(dfs_paths(graph, 'C', 'F')) # [['C', 'F'], ['C', 'A', 'B', 'E', 'F']]

Popularity 9/10 Helpfulness 2/10 Language python

Source: eddmann.com

Tags: python py

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Contributed on Aug 17 2021

Beautiful Bat

0 Answers Avg Quality 2/10

dfs and bfs inn python

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def dfs(graph, start):
    visited, stack = set(), [start]
    while stack:
        vertex = stack.pop()
        if vertex not in visited:
            visited.add(vertex)
            stack.extend(graph[vertex] - visited)
    return visited

dfs(graph, 'A') # {'E', 'D', 'F', 'A', 'C', 'B'}

Popularity 8/10 Helpfulness 2/10 Language python

Source: eddmann.com

Tags: python

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Contributed on Aug 17 2021

Beautiful Bat

0 Answers Avg Quality 2/10

dfs and bfs in python

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-1

def shortest_path(graph, start, goal):
    try:
        return next(bfs_paths(graph, start, goal))
    except StopIteration:
        return None

shortest_path(graph, 'A', 'F') # ['A', 'C', 'F']

Popularity 9/10 Helpfulness 1/10 Language python

Source: eddmann.com

Tags: python py

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Contributed on Aug 17 2021

Beautiful Bat

0 Answers Avg Quality 2/10

dfs and bfs in python

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