* aGrUM
* Added `gum::Potential<GUM_SCALAR>::memoryFootprint` and `gum::IBayesNet::memoryFootprint` (thanks to Benjamin Datko).
* Fixed a bug when subscripting `gum::DiscretizedVariable` with the (last) interval (thanks to Gaspard Ducamp).
* Removed gcc warnings (psabi, false positive uninitialized).
* pyAgrum
* Added `pyAgrum.Potential.memoryFootprint` and `pyAgrum.BayesNet.memoryFootprint` (thanks to Benjamin Datko).
* Fixed a bug when subscripting `gum::DiscretizedVariable` with the (last) interval (thanks to Gaspard Ducamp).
* Fixed a bug in `pyAgrum.skbn.BNDiscretizer` for `NoDiscretization` method with given `paramDiscretization`.
* Moved function `pyAgrum.lib.export.toFast` to method `pyAgrum.{BayesNet|InfluenceDiagram|MRF}.toFast()`.
* Moved `pyAgrum.skbn.BNDiscretizer` to `pyAgrum.lib.discretizer`.
* Worked on documentation for CTBN
* Fixed `fontcolor` configuration for causal model.