message: dummy test for code coverage
diff: @@ -4,6 +4,8 @@ import matplotlib.pyplot as plt
  import numpy as np
  import pytest
  +from sklearn.cluster import KMeans
  +
  def test_representations_examples():
  # Disable graphics for testing purposes
  @@ -15,6 +17,7 @@ def test_representations_examples():
  return None
  +from gudhi.representations.vector_methods import Atol
  from gudhi.representations.metrics import *
  from gudhi.representations.kernel_methods import *
  @@ -41,3 +44,16 @@ def test_multiple():
  d2 = WassersteinDistance(order=2, internal_p=2, n_jobs=4).fit(l2).transform(l1)
  print(d1.shape, d2.shape)
  assert d1 == pytest.approx(d2, rel=.02)
  +
  +
  +def test_dummy_atol():
  + a = np.array([[1, 2, 4], [1, 4, 0], [1, 0, 4]])
  + b = np.array([[4, 2, 0], [4, 4, 0], [4, 0, 2]])
  + c = np.array([[3, 2, -1], [1, 2, -1]])
  +
  + for weighting_method in ["cloud", "iidproba"]:
  + for contrast in ["gaussian", "laplacian", "indicator"]:
  + atol_vectoriser = Atol(quantiser=KMeans(n_clusters=1, random_state=202006), weighting_method=weighting_method, contrast=contrast)
  + atol_vectoriser(a)
  + atol_vectoriser.transform(X=[a, b, c])
  +
  