尝试在Python中使用DFS递归找到图中的所有路径



我找到了一个解决方案,张贴了一段时间前,我曾试图将其应用到我的锻炼,但它不起作用。我有一个类图,它有节点和边,还有一个方法childof,它给出了一个节点的所有子节点。这一切都很好。这是我的DFS搜索代码,我想找到所有路径:

def myDFS(graph,start,end,path=[]):
path=path+[start]
if start==end:
    return path
paths=[]
for node in graph.childrenOf(start):
    if node not in path:
        paths.extend(myDFS(graph,node,end,path))            
return paths

我只有空列表。我需要看哪里?当我在做path=myDFS时…在循环中,我至少找到了最后一条路径。我尝试了path+=myDFS,但没有成功。图表是成功创造的,所以它不是来自成功。由于

由于您只想获得从头到尾的所有路径,因此当路径到达末尾时将其添加到总路径列表中。不返回路径的总列表,而是填充路径:

paths = []
def myDFS(graph,start,end,path=[]): 
    path=path+[start] 
    if start==end:
        paths.append(path) 
    for node in graph.childrenOf(start):
        if node not in path:
            myDFS(graph,node,end,path)

我已经将嵌套字典的JSON平行化(深度为4)

{'output':
    'lev1_key1': 'v11',
    'lev1_key2': {
       {'lev2_key1': 'v21',
        'lev2_key2': 'v22',
       }
 }

的递归调用
paths = []
_PATH_SEPARATOR = '/'
def flatten(treeroot, path=''):
  path=path
  if isinstance(treeroot, dict):
    for k in treeroot.keys():
        s_path = path + _PATH_SEPARATOR + str(k)
        flatten(treeroot[k], path=s_path)
  elif isinstance(treeroot, str):
     path = path + _PATH_SEPARATOR + treeroot
     paths.append(path)
  elif isinstance(treeroot, list):
    # if node has more than one child 
    for k in treeroot.keys():
        s_path = path + _PATH_SEPARATOR + str(k)
        flatten(k, path=s_path)

result is

{
 'output/lev1_key1': 'v11',
 'output/lev1_key2/lev2_key1': 'v21',
 'output/lev1_key2/lev2_key2': 'v22',
}