def test_aggregate():
test_feature = Feature(test_dataframe, aggregate=np.median)
assert (test_feature.aggregate == np.median)
from amen.audio import Audio
from amen.feature import Feature
from amen.feature import FeatureCollection
from amen.timing import TimeSlice
from amen.utils import example_audio_file
from amen.exceptions import FeatureError
EXAMPLE_FILE = example_audio_file()
audio = Audio(EXAMPLE_FILE)
test_times = np.linspace(0, 10, num=1000)
test_index = pd.to_timedelta(test_times, unit='s')
test_dataframe = pd.DataFrame(data=audio.analysis_samples[:1000],
index=test_index)
test_feature = Feature(test_dataframe)
# Test init
def test_data_validation():
# Makes sure that we can't pass lousy data.
assert_raises(AssertionError, Feature, [1, 2, 3])
def test_data():
assert_frame_equal(test_feature.data, test_dataframe)
def test_default_aggregate():
assert (test_feature.aggregate == np.mean)
def test_base_validation():
with pytest.raises(AssertionError):
f = Feature(test_dataframe, np.mean, [1, 2, 3])
from amen.audio import Audio
from amen.feature import Feature
from amen.feature import FeatureCollection
from amen.timing import TimeSlice
from amen.utils import example_audio_file
from amen.exceptions import FeatureError
EXAMPLE_FILE = example_audio_file()
audio = Audio(EXAMPLE_FILE)
test_times = np.linspace(0, 10, num=1000)
test_index = pd.to_timedelta(test_times, unit='s')
test_dataframe = pd.DataFrame(data=audio.analysis_samples[:1000], index=test_index)
test_feature = Feature(test_dataframe)
# Test init
def test_data_validation():
# Makes sure that we can't pass lousy data.
assert_raises(AssertionError, Feature, [1, 2, 3])
def test_data():
assert_frame_equal(test_feature.data, test_dataframe)
def test_default_aggregate():
assert(test_feature.aggregate == np.mean)
def test_default_base():
assert(test_feature.base == None)
def test_data_validation():
with pytest.raises(AssertionError):
f = Feature([1, 2, 3])