diff options
Diffstat (limited to 'src/cython/doc/alpha_complex_user.rst')
| -rw-r--r-- | src/cython/doc/alpha_complex_user.rst | 14 |
1 files changed, 6 insertions, 8 deletions
diff --git a/src/cython/doc/alpha_complex_user.rst b/src/cython/doc/alpha_complex_user.rst index 5ad3a9e7..ed2a470c 100644 --- a/src/cython/doc/alpha_complex_user.rst +++ b/src/cython/doc/alpha_complex_user.rst @@ -25,14 +25,13 @@ This example builds the Delaunay triangulation from the given points, and initia 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) + simplex_tree = alpha_complex.create_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) + for filtered_value in simplex_tree.get_filtered_tree(): + print(filtered_value) The output is: @@ -156,14 +155,13 @@ Then, it is asked to display information about the alpha complex: 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) + simplex_tree = alpha_complex.create_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) + for filtered_value in simplex_tree.get_filtered_tree(): + print(filtered_value) the program output is: |