Vincent Rouvreau

Number of concurrent job

1

I would love to have a column named `Number of concurrent job`, that says for instance for appveyor *1 concurrent job per account* for the free plan and XX$ for...

* Some modules are missing (Coxeter for instance) * I am not sure we should keep cython module * PersistenceRepresentations: how to distinguish c++ and python stuff * ...

Contraction c++ module is only requiring CGAL in order to use `CGAL::Modifiable_priority_queue`. This dependency could be removed by using some boost heap as the riority queue has to be modifiable....

According to [https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.query.html#scipy.spatial.cKDTree.query](kdtree query documentation), `n_jobs` is deprecated starting from scipy>=1.9.0. With scipy 1.9.0, this leads to an error in `test_tomato.py`: ``` gudhi/point_cloud/knn.py:318: in transform distances, neighbors = self.kdtree.query(X, k=self.k,...

After [3.0.0 python documentation](https://gudhi.inria.fr/python/3.0.0/), sphinx search tool is broken. sphinx was 1.7.4 On [3.1.0 python documentation](https://gudhi.inria.fr/python/3.1.0/), search tool is no more working, with sphinx 2.3.0. A good start would be...

With sphinx >= 5.0.0, in generated `sphinx/_static/classic.css` file, one can see: ```css div.document { display: flex; background-color: white; } ``` which leads to the same issue than [this python-docs-theme issue](https://github.com/python/python-docs-theme/issues/92)....

Seems to be quite faster on OSx with ninja. 1h02m51s without, versus 43m27s with ninja. TODO: try on windows also

[Python / PeriodicCubicalComplex and CubicalComplex] cofaces_of_persistence_pairs requires compute_persistence

1

[PeriodicCubicalComplex.cofaces_of_persistence_pairs](https://gudhi.inria.fr/python/latest/periodic_cubical_complex_ref.html#gudhi.PeriodicCubicalComplex.cofaces_of_persistence_pairs) and [CubicalComplex.cofaces_of_persistence_pairs](https://gudhi.inria.fr/python/latest/cubical_complex_ref.html#gudhi.CubicalComplex.cofaces_of_persistence_pairs) require a note to explain that cofaces_of_persistence_pairs requires [compute_persistence()](https://gudhi.inria.fr/python/latest/cubical_complex_ref.html#gudhi.CubicalComplex.compute_persistence) function to be launched first. (cf. [betti numbers method](https://gudhi.inria.fr/python/latest/cubical_complex_ref.html#gudhi.CubicalComplex.betti_numbers))

[Persistence_representations - Persistence_heat_maps] create_Gaussian_filter ignores its second argument

5

```c++ #include #include int main(){ int n=2; auto a=Gudhi::Persistence_representations::create_Gaussian_filter(n,.1); auto b=Gudhi::Persistence_representations::create_Gaussian_filter(n,10); for(int i=0;i