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author | Marc Glisse <marc.glisse@inria.fr> | 2022-11-18 20:28:40 +0100 |
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committer | Marc Glisse <marc.glisse@inria.fr> | 2022-12-17 11:39:13 +0100 |
commit | 8319f4d1042cffaf1a64b1ca5fc4344a2e00320f (patch) | |
tree | 3f34f05b95b951f44a2fbacabd36afea0a1dbdd3 /src | |
parent | 786c18e0555eb3dc3e1465ace050ec8c2ce5ca91 (diff) |
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).
Diffstat (limited to 'src')
-rw-r--r-- | src/python/gudhi/representations/vector_methods.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py index e1402aea..a6d86821 100644 --- a/src/python/gudhi/representations/vector_methods.py +++ b/src/python/gudhi/representations/vector_methods.py @@ -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"): |