def test_dataset_errors():
with pytest.raises(ValueError):
soundata.initialize("not_a_dataset")
d = soundata.initialize("orchset")
d._track_class = None
with pytest.raises(AttributeError):
d.track("asdf")
with pytest.raises(AttributeError):
d.multitrack("asdf")
with pytest.raises(AttributeError):
d.load_tracks()
with pytest.raises(AttributeError):
d.load_multitracks()
with pytest.raises(AttributeError):
d.choice_track()
with pytest.raises(AttributeError):
d.choice_multitrack()
d = soundata.initialize("acousticbrainz_genre")
with pytest.raises(FileNotFoundError):
d._index
d = soundata.initialize("phenicx_anechoic")
with pytest.raises(ValueError):
d._multitrack("a")
def test_initialize():
d = initialize("esc50")
assert isinstance(d, core.Dataset)
assert d.name == "esc50"
with pytest.raises(ValueError):
initialize("asdfasdfasdfa")
def test_dataset():
dataset = soundata.initialize("esc50")
assert isinstance(dataset, core.Dataset)
dataset = soundata.initialize("urbansound8k")
assert isinstance(dataset, core.Dataset)
dataset = soundata.initialize("urbansed")
assert isinstance(dataset, core.Dataset)
print(dataset) # test that repr doesn't fail
def test_dataset():
dataset = soundata.initialize("guitarset")
assert isinstance(dataset, core.Dataset)
dataset = soundata.initialize("rwc_jazz")
assert isinstance(dataset, core.Dataset)
dataset = soundata.initialize("ikala")
assert isinstance(dataset, core.Dataset)
dataset = soundata.initialize("phenicx_anechoic")
assert isinstance(dataset, core.Dataset)
print(dataset) # test that repr doesn't fail
def dataset(test_dataset):
if test_dataset == "":
return None
elif test_dataset not in soundata.DATASETS:
raise ValueError(
"{} is not a dataset in soundata".format(test_dataset))
data_home = os.path.join("tests/resources/mir_datasets_full", test_dataset)
return soundata.initialize(test_dataset, data_home)
def test_multitracks():
data_home_dir = "tests/resources/mir_datasets"
for dataset_name in DATASETS:
module = importlib.import_module(
"soundata.datasets.{}".format(dataset_name))
dataset = module.Dataset(os.path.join(TEST_DATA_HOME, dataset_name))
# TODO this is currently an opt-in test. Make it an opt out test
# once #265 is addressed
if dataset_name in CUSTOM_TEST_MTRACKS:
mtrack_id = CUSTOM_TEST_MTRACKS[dataset_name]
else:
# there are no multitracks
continue
try:
mtrack_default = dataset.MultiTrack(mtrack_id)
except:
assert False, "{}: {}".format(dataset_name, sys.exc_info()[0])
# test data home specified
data_home = os.path.join(data_home_dir, dataset_name)
dataset_specific = soundata.initialize(dataset_name,
data_home=data_home)
try:
mtrack_test = dataset_specific.MultiTrack(mtrack_id,
data_home=data_home)
except:
assert False, "{}: {}".format(dataset_name, sys.exc_info()[0])
assert isinstance(
mtrack_test, core.MultiTrack
), "{}.MultiTrack must be an instance of type core.MultiTrack".format(
dataset_name)
assert hasattr(
mtrack_test,
"to_jams"), "{}.MultiTrack must have a to_jams method".format(
dataset_name)
# Validate JSON schema
try:
jam = mtrack_test.to_jams()
except:
assert False, "{}: {}".format(dataset_name, sys.exc_info()[0])
assert jam.validate(
), "Jams validation failed for {}.MultiTrack({})".format(
dataset_name, mtrack_id)
def test_dataset_errors():
with pytest.raises(ValueError):
soundata.initialize("not_a_dataset")
d = soundata.initialize("esc50")
d._clip_class = None
with pytest.raises(AttributeError):
d.clip("asdf")
with pytest.raises(AttributeError):
d.clipgroup("asdf")
with pytest.raises(AttributeError):
d.load_clips()
with pytest.raises(AttributeError):
d.load_clipgroups()
with pytest.raises(AttributeError):
d.choice_clip()
with pytest.raises(AttributeError):
d.choice_clipgroup()