message: Fix Atol doctest
  the skip marks were on the wrong lines, which resulted in
  WARNING: ignoring invalid doctest code
  Reminder: testoutput was disabled because it was too random (the lines
  are swapped if I run it right now).
diff: @@ -711,16 +711,16 @@ class Atol(BaseEstimator, TransformerMixin):
  >>> c = np.array([[3, 2, -1], [1, 2, -1]])
  >>> atol_vectoriser = Atol(quantiser=KMeans(n_clusters=2, random_state=202006))
  >>> atol_vectoriser.fit(X=[a, b, c]).centers # doctest: +SKIP
  - >>> # array([[ 2. , 0.66666667, 3.33333333],
  - >>> # [ 2.6 , 2.8 , -0.4 ]])
  - >>> atol_vectoriser(a)
  - >>> # array([1.18168665, 0.42375966]) # doctest: +SKIP
  - >>> atol_vectoriser(c)
  - >>> # array([0.02062512, 1.25157463]) # doctest: +SKIP
  + array([[ 2. , 0.66666667, 3.33333333],
  + [ 2.6 , 2.8 , -0.4 ]])
  + >>> atol_vectoriser(a) # doctest: +SKIP
  + array([1.18168665, 0.42375966])
  + >>> atol_vectoriser(c) # doctest: +SKIP
  + array([0.02062512, 1.25157463])
  >>> atol_vectoriser.transform(X=[a, b, c]) # doctest: +SKIP
  - >>> # array([[1.18168665, 0.42375966],
  - >>> # [0.29861028, 1.06330156],
  - >>> # [0.02062512, 1.25157463]])
  + array([[1.18168665, 0.42375966],
  + [0.29861028, 1.06330156],
  + [0.02062512, 1.25157463]])
  """
  # Note the example above must be up to date with the one in tests called test_atol_doc
  def __init__(self, quantiser, weighting_method="cloud", contrast="gaussian"):
  