def test_estimate_morals(example_texts):
result = estimate_morals(example_texts, process=True)
assert isinstance(result, pd.DataFrame)
check_estimation_matrix(result,
(len(example_texts), len(lexicon_morals())))
for doc in result[lexicon_morals()].values:
for doc_pred in doc:
check_moral_value(doc_pred)
def test_texts_moral(example_texts):
for moral_trait in lexicon_morals():
result = texts_moral(example_texts, moral_trait, process=True)
assert len(result) is not 0
assert len(result) == len(example_texts)
for moral_trait_estimation in result:
check_moral_value(moral_trait_estimation)
def test_texts_morals(example_texts):
result = texts_morals(example_texts, process=True)
assert isinstance(result, np.ndarray)
check_estimation_matrix(result,
(len(example_texts), len(lexicon_morals())))
for doc in result:
for doc_pred in doc:
check_moral_value(doc_pred)
def test_lexicon_morals():
result = lexicon_morals()
check_trait_list(result)