diff options
Diffstat (limited to 'src/cython/doc/alpha_complex_user.rst')
| -rw-r--r-- | src/cython/doc/alpha_complex_user.rst | 39 |
1 files changed, 21 insertions, 18 deletions
diff --git a/src/cython/doc/alpha_complex_user.rst b/src/cython/doc/alpha_complex_user.rst index b6b6e550..5ad3a9e7 100644 --- a/src/cython/doc/alpha_complex_user.rst +++ b/src/cython/doc/alpha_complex_user.rst @@ -22,15 +22,17 @@ This example builds the Delaunay triangulation from the given points, and initia .. testcode:: - import gudhi - alpha_complex = gudhi.AlphaComplex(points=[[1, 1], [7, 0], [4, 6], [9, 6], [0, 14], [2, 19], [9, 17]], - max_alpha_square=60.0) - result_str = 'Alpha complex is of dimension ' + repr(alpha_complex.dimension()) + ' - ' + \ - repr(alpha_complex.num_simplices()) + ' simplices - ' + \ - repr(alpha_complex.num_vertices()) + ' vertices.' - print(result_str) - for fitered_value in alpha_complex.get_filtered_tree(): - print(fitered_value) + import gudhi + alpha_complex = gudhi.AlphaComplex(points=[[1, 1], [7, 0], [4, 6], [9, 6], [0, 14], [2, 19], [9, 17]]) + + simplex_tree = gudhi.SimplexTree() + alpha_complex.create_simplex_tree(simplex_tree, max_alpha_square=60.0) + result_str = 'Alpha complex is of dimension ' + repr(simplex_tree.dimension()) + ' - ' + \ + repr(simplex_tree.num_simplices()) + ' simplices - ' + \ + repr(simplex_tree.num_vertices()) + ' vertices.' + print(result_str) + for fitered_value in simplex_tree.get_filtered_tree(): + print(fitered_value) The output is: @@ -152,15 +154,16 @@ Then, it is asked to display information about the alpha complex: .. testcode:: - import gudhi - alpha_complex = gudhi.AlphaComplex(off_file='alphacomplexdoc.off', - max_alpha_square=59.0) - result_str = 'Alpha complex is of dimension ' + repr(alpha_complex.dimension()) + ' - ' + \ - repr(alpha_complex.num_simplices()) + ' simplices - ' + \ - repr(alpha_complex.num_vertices()) + ' vertices.' - print(result_str) - for fitered_value in alpha_complex.get_filtered_tree(): - print(fitered_value) + import gudhi + alpha_complex = gudhi.AlphaComplex(off_file='alphacomplexdoc.off') + simplex_tree = gudhi.SimplexTree() + alpha_complex.create_simplex_tree(simplex_tree, max_alpha_square=59.0) + result_str = 'Alpha complex is of dimension ' + repr(simplex_tree.dimension()) + ' - ' + \ + repr(simplex_tree.num_simplices()) + ' simplices - ' + \ + repr(simplex_tree.num_vertices()) + ' vertices.' + print(result_str) + for fitered_value in simplex_tree.get_filtered_tree(): + print(fitered_value) the program output is: |