def test_validate_X_returns_true_on_valid_data():
maui_model = Maui()
valid_data = {'a': df1, 'b': df2}
assert maui_model._validate_X(valid_data)
def test_validate_X_fails_if_samples_mismatch():
maui_model = Maui()
with pytest.raises(ValueError):
df2_bad = df2.iloc[:,:2]
data_with_mismatching_samples = {'a': df1, 'b': df2_bad}
maui_model._validate_X(data_with_mismatching_samples)
def test_validate_X_fails_if_some_data_empty():
maui_model = Maui()
with pytest.raises(ValueError):
maui_model._validate_X({'a': df1, 'e': df_empty})
def test_validate_X_fails_if_not_dict():
maui_model = Maui()
with pytest.raises(ValueError):
maui_model._validate_X([1,2,3])
