message: shorten < 80 char the doc
diff: @@ -20,13 +20,17 @@ Function
  Basic example
  -------------
  -This example computes the Frechet mean (aka Wasserstein barycenter) between four persistence diagrams.
  +This example computes the Frechet mean (aka Wasserstein barycenter) between
  +four persistence diagrams.
  It is initialized on the 4th diagram.
  -As the algorithm is not convex, its output depends on the initialization and is only a local minimum of the objective function.
  -Initialization can be either given as an integer (in which case the i-th diagram of the list is used as initial estimate)
  -or as a diagram.
  -If None, it will randomly select one of the diagram of the list as initial estimate.
  -Note that persistence diagrams must be submitted as (n x 2) numpy arrays and must not contain inf values.
  +As the algorithm is not convex, its output depends on the initialization and
  +is only a local minimum of the objective function.
  +Initialization can be either given as an integer (in which case the i-th
  +diagram of the list is used as initial estimate) or as a diagram.
  +If None, it will randomly select one of the diagram of the list
  +as initial estimate.
  +Note that persistence diagrams must be submitted as
  +(n x 2) numpy arrays and must not contain inf values.
  .. testcode::
  @@ -37,8 +41,8 @@ Note that persistence diagrams must be submitted as (n x 2) numpy arrays and mus
  dg2 = np.array([[0.2, 0.7]])
  dg3 = np.array([[0.3, 0.6], [0.7, 0.8], [0.2, 0.3]])
  dg4 = np.array([])
  -
  - bary = gudhi.barycenter.lagrangian_barycenter(pdiagset=[dg1, dg2, dg3, dg4],init=3)
  + pdiagset = [dg1, dg2, dg3, dg4]
  + bary = gudhi.barycenter.lagrangian_barycenter(pdiagset=pdiagset,init=3)
  message = "Wasserstein barycenter estimated:"
  print(message)
  