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   | .. figure::                                                     | The q-Wasserstein distance measures the similarity between two       | :Author: Theo Lacombe                                            |
   |      ../../doc/Bottleneck_distance/perturb_pd.png               | persistence diagrams using the sum of all edges lengths (instead of  |                                                                  |
   |      :figclass: align-center                                    | the maximum). It allows to define sophisticated objects such as      | :Introduced in: GUDHI 3.1.0                                      |
   |                                                                 | barycenters of a family of persistence diagrams.                     |                                                                  |
   |      Wasserstein distance is the q-th root of the sum of the    |                                                                      | :Copyright: MIT                                                  |
   |      edge lengths to the power q.                               |                                                                      |                                                                  |
   |                                                                 |                                                                      | :Requires: Python Optimal Transport (POT) :math:`\geq` 0.5.1     |
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   | * :doc:`wasserstein_distance_user`                              |                                                                                                                                         |
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