Search algorithm implementations meant for teaching

Related tags

AlgorithmsSearch-py
Overview

Search-py

A collection of search algorithms for teaching and experimenting.

Non-adversarial Search

There’s a heavy separation of concerns which leads to many tiny classes with a small scope. The library might be a bit overwhelming and seem to be an overkill, but it should allow us to solve many different problems with many algorithms to better understand their behavior.

There’s a generic SearchAlgorithm implementation that can be extended to implement (graph)-DFS, BFS, Dijkstra’s Algorithm, A*. Currently only DFS and BFS are implemented.

Class overview

(root)

search

  • space.py: Space, PredefinedSpace, RandomAccessSpace, Problem
algorithms
  • search.py: Node, SearchAlgorithm, Open
  • dfs.py: DFS(SearchAlgorithm), DFS.Open(SearchAlgorithm.Open)
  • bfs.py: BFS(SearchAlgorithm), BFS.Open(SearchAlgorithm.Open)
  • dijkstra.py: Dijkstra(SearchAlgorithm), Dijkstra.Open(SearchAlgorithm.Open)
problems
grid
  • board2d.py: class Board2D(Space, PredefinedSpace, RandomAccessSpace)
  • main.py: Has a super simple benchmark.
Owner
Dietrich Daroch
Dietrich Daroch
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