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1""" 

2@file 

3@brief Shortcuts to special 

4 

5.. _l-almost_reusable: 

6 

7List of almost reusable algorithms implemented in this module 

8+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 

9 

10* @see fn tsp_kruskal_algorithm: `TSP <https://en.wikipedia.org/wiki/Travelling_salesman_problem>`_ 

11* @see fn draw_line: `Bresenham <https://en.wikipedia.org/wiki/Bresenham%27s_line_algorithm>`_ algorithm (line) 

12* @see fn draw_ellipse: `Bresenham <https://en.wikipedia.org/wiki/Bresenham%27s_line_algorithm>`_ algorithm (ellipse) 

13* @see fn distance_haversine: distance of `Haversine <https://en.wikipedia.org/wiki/Haversine_formula>`_ 

14* @see fn bellman: shortest paths in a graph with `Bellman-Ford <http://fr.wikipedia.org/wiki/Algorithme_de_Bellman-Ford>`_ 

15* @see fn connected_components: computes the `connected components <https://en.wikipedia.org/wiki/Connected_component_(graph_theory)>`_ 

16* @see fn graph_degree: computes the degree of each node in a graph `degree <https://en.wikipedia.org/wiki/Degree_(graph_theory)>`_ 

17* @see fn resolution_sudoku: solves a `sudoku <https://fr.wikipedia.org/wiki/Sudoku>`_ 

18""" 

19 

20from .rues_paris import distance_haversine, bellman, connected_components, graph_degree 

21from .sudoku import sudoku2str, resolution_sudoku 

22from .tsp_bresenham import draw_line, draw_ellipse 

23from .tsp_kruskal import tsp_kruskal_algorithm