I am having issues with dfs, probably from a RecursionError when facing a wall. Instead of continuously running an attempt which can only lead to a wall, it is supposed to return to its previous position and try another path. Also, it leans heavily on the order in which attempts are made (N,S,E,W or other combinations) Thanks in advance Answer
Tag: depth-first-search
Python DFS nested dictionary
I’ve written a function which should be able to search a nested dictionary, using DFS, to find a specific value. The recursive element seems to be working fine, however, when the base case should return True, it simply doesn’t. And the results. As you can see, the standard output “i==i” shows that this element was evaluated correctly but the return
Is it possible to do a depth first search iteratively without copying visited nodes?
Background I am searching a 2D grid for a word. We can search left/right and up/down. For example, in this grid, searching for “abef” starting at (0,0) will return True Example (grid1): Where I’m at The recursive version gives expected results (see dfs_rec() below). The iterative version also gives expected results (see dfs_iter() below). However, in this version I am
Why don’t my Depth-First-Search code working properly?
it’s my 1st question so go easy on my thing ! as far as i know Depth-First Search has to search “Depth” first these are the DFS code and a example If we do “print(dfs(graph,1,visited))”, we can get the result “1 2 7 6 8 3 4 5”. this is natural. My question is that if we change the node?
How I can stop depth first search at specific node
Here Is my python code: its about depth first search algorithm and when I compile it without break statement the result would be: A B E F C G K H D and when i put break statement the result would be: A B E and my question is how i can here stop this algorithm at specific node like
Python3 running the same function with the same input many times but producing different outputs every time
I am currently trying to solve a simple version of checkers with python. Specifically, I am trying to solve the problem “checkers” from USACO 2008 December Bronze contest. (Problem Link) My idea is to run a recursive dfs function on the location of each of the kings. However, I have encountered some issues with my dfs function. When I run
deceptively simple implementation of topological sorting in python
Extracted from here we got a minimal iterative dfs routine, i call it minimal because you can hardly simplify the code further: Here’s my question, how could you transform this routine into a topological sort method where the routine also becomes “minimal”? I’ve watched this video and the idea is quite clever so I was wondering if it’d be possible