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fix docstring and fix assert in test

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olasaadi 2022-03-22 13:59:28 +02:00
parent 5b3476071f
commit 312469212e
2 changed files with 10 additions and 18 deletions
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12
tests/test_anonymizer.py
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@ -29,7 +29,6 @@ def test_anonymize_ndarray_iris():
def test_anonymize_pandas_adult():
(x_train, y_train), _ = get_adult_dataset()
print(type(x_train['hours-per-week'][0]))
encoded = OneHotEncoder().fit_transform(x_train)
model = DecisionTreeClassifier()
model.fit(encoded, y_train)
@ -49,10 +48,7 @@ def test_anonymize_pandas_adult():
assert(anon.loc[:, QI].drop_duplicates().shape[0] < x_train.loc[:, QI].drop_duplicates().shape[0])
assert (anon.loc[:, QI].value_counts().min() >= k)
#assert (anon.drop(QI, axis=1).equals(x_train.drop(QI, axis=1)))
print(type(x_train['hours-per-week'][0]))
np.testing.assert_array_equal(anon.drop(QI, axis=1), x_train.drop(QI, axis=1))
def test_anonymize_pandas_nursery():
(x_train, y_train), _ = get_nursery_dataset()
@ -73,7 +69,7 @@ def test_anonymize_pandas_nursery():
assert(anon.loc[:, QI].drop_duplicates().shape[0] < x_train.loc[:, QI].drop_duplicates().shape[0])
assert (anon.loc[:, QI].value_counts().min() >= k)
# assert (anon.drop(QI, axis=1).equals(x_train.drop(QI, axis=1)))
np.testing.assert_array_equal(anon.drop(QI, axis=1), x_train.drop(QI, axis=1))
def test_regression():
@ -107,7 +103,7 @@ def test_errors():
anonymizer = Anonymize(10, [0, 2])
(x_train, y_train), (x_test, y_test) = get_iris_dataset()
with pytest.raises(ValueError):
anonymizer.anonymize(x_train, y_test)
anonymizer.anonymize(dataset=ArrayDataset(x_train, y_test))
(x_train, y_train), _ = get_adult_dataset()
with pytest.raises(ValueError):
anonymizer.anonymize(x_train, y_train)
anonymizer.anonymize(dataset=ArrayDataset(x_train, y_test))