message: Use compute_persistence in an example
diff: @@ -5,6 +5,7 @@ import argparse
  import math
  import errno
  import os
  +import numpy as np
  """ This file is part of the Gudhi Library - https://gudhi.inria.fr/ -
  which is released under MIT.
  @@ -56,7 +57,7 @@ with open(args.file, "r") as f:
  message = "Number of simplices=" + repr(rips_stree.num_simplices())
  print(message)
  - rips_diag = rips_stree.persistence()
  + rips_stree.compute_persistence()
  print("##############################################################")
  print("AlphaComplex creation from points read in a OFF file")
  @@ -72,18 +73,13 @@ with open(args.file, "r") as f:
  message = "Number of simplices=" + repr(alpha_stree.num_simplices())
  print(message)
  - alpha_diag = alpha_stree.persistence()
  + alpha_stree.compute_persistence()
  max_b_distance = 0.0
  for dim in range(args.max_dimension):
  # Alpha persistence values needs to be transform because filtration
  # values are alpha square values
  - funcs = [math.sqrt, math.sqrt]
  - alpha_intervals = []
  - for interval in alpha_stree.persistence_intervals_in_dimension(dim):
  - alpha_intervals.append(
  - map(lambda func, value: func(value), funcs, interval)
  - )
  + alpha_intervals = np.sqrt(alpha_stree.persistence_intervals_in_dimension(dim))
  rips_intervals = rips_stree.persistence_intervals_in_dimension(dim)
  bottleneck_distance = gudhi.bottleneck_distance(
  