def test_clip():
default_clipid = "a001"
dataset = tut2017se.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path": ("tests/resources/sound_datasets/tut2017se/TUT-sound-"
"events-2017-development/audio/street/a001.wav"),
"annotations_path":
("tests/resources/sound_datasets/tut2017se/TUT-sound-"
"events-2017-development/meta/street/a001.ann"),
"non_verified_annotations_path":
("tests/resources/sound_datasets/tut2017se/TUT-sound-"
"events-2017-development/non_verified/meta/street/a001.ann"),
"clip_id":
"a001",
}
expected_property_types = {
"split": str,
"audio": tuple,
"events": annotations.Events,
"non_verified_events": annotations.Events,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "135776-2-0-49"
dataset = urbansound8k.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path":
"tests/resources/sound_datasets/urbansound8k/audio/fold1/135776-2-0-49.wav",
"clip_id": "135776-2-0-49",
}
expected_property_types = {
"slice_file_name": str,
"freesound_id": str,
"freesound_start_time": float,
"freesound_end_time": float,
"salience": int,
"fold": int,
"class_id": int,
"class_label": str,
"audio": tuple,
"tags": annotations.Tags,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "[b827ebf3744c][2020-08-19T22-46-04Z][manual][---][4edbade2d41d5f80e324ee4f10d401c0][]-135"
dataset = singapura.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path": (os.path.join(
TEST_DATA_HOME,
"labelled",
"2020-08-19",
"[b827ebf3744c][2020-08-19T22-46-04Z][manual][---][4edbade2d41d5f80e324ee4f10d401c0][]-135.flac",
)),
"annotation_path":
os.path.join(
TEST_DATA_HOME,
"labels_public",
"[b827ebf3744c][2020-08-19T22-46-04Z][manual][---][4edbade2d41d5f80e324ee4f10d401c0][]-135.csv",
),
"clip_id":
"[b827ebf3744c][2020-08-19T22-46-04Z][manual][---][4edbade2d41d5f80e324ee4f10d401c0][]-135",
"sensor_id":
"b827ebf3744c",
"town":
"West 2",
"timestamp":
np.datetime64("2020-08-20T06:46:04+08:00"),
"dotw":
4,
}
expected_property_types = {
"audio": np.ndarray,
"events": annotations.MultiAnnotator,
"audio_path": str,
"annotation_path": str,
"clip_id": str,
"sensor_id": str,
"town": str,
"timestamp": np.datetime64,
"dotw": int,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "Beach.1"
dataset = eigenscape.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path": ("tests/resources/sound_datasets/eigenscape/Beach.1.wav"),
"clip_id": "Beach.1",
}
expected_property_types = {
"audio": tuple,
"tags": annotations.Tags,
"location": str,
"date": str,
"time": str,
"additional_information": str,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "64760"
dataset = fsd50k.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path": "tests/resources/sound_datasets/fsd50k/FSD50K.dev_audio/64760.wav",
"clip_id": "64760",
}
expected_property_types = {
"audio": tuple,
"tags": annotations.Tags,
"mids": annotations.Tags,
"split": str,
"title": str,
"description": str,
"pp_pnp_ratings": dict,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "impulse_response/+90deg_011_OCT3D_2_FR"
dataset = marco.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path":
("tests/resources/sound_datasets/marco/3D-MARCo Impulse Responses/01_Speaker_+90deg_3m/+90deg_011_OCT3D_2_FR.wav"
),
"clip_id":
"impulse_response/+90deg_011_OCT3D_2_FR",
"source_label":
"impulse_response",
"source_angle":
"+90deg",
"microphone_info": ["OCT3D", "2", "FR"],
}
expected_property_types = {"audio": tuple}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "foa_dev/split1_ir0_ov1_1"
dataset = tau2019sse.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"clip_id": "foa_dev/split1_ir0_ov1_1",
"audio_path":
"tests/resources/sound_datasets/tau2019sse/foa_dev/split1_ir0_ov1_1.wav",
"csv_path":
"tests/resources/sound_datasets/tau2019sse/metadata_dev/split1_ir0_ov1_1.csv",
"format": "foa",
"set": "dev",
}
expected_property_types = {
"audio": tuple,
"spatial_events": tau2019sse.SpatialEvents,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "some_id"
dataset = example.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"clip_id":
"some_id",
"audio_path":
"tests/resources/sound_datasets/example/audio/some_id.wav",
"annotation_path":
"tests/resources/sound_datasets/example/annotation/some_id.pv",
}
# List here all the properties of your loader
expected_property_types = {
"tags": annotations.Tags,
"some_other_annotation": "some_annotation_type"
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "foa_dev/fold1_room1_mix001_ov1"
dataset = tau2020sse_nigens.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"clip_id": "foa_dev/fold1_room1_mix001_ov1",
"audio_path":
"tests/resources/sound_datasets/tau2020sse_nigens/foa_dev/fold1_room1_mix001_ov1.wav",
"csv_path":
"tests/resources/sound_datasets/tau2020sse_nigens/metadata_dev/fold1_room1_mix001_ov1.csv",
"format": "foa",
"set": "dev",
}
expected_property_types = {
"audio": tuple,
"spatial_events": tau2020sse_nigens.SpatialEvents,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "soundscape_train_uniform1736"
dataset = urbansed.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path":
"tests/resources/sound_datasets/urbansed/audio/train/soundscape_train_uniform1736.wav",
"jams_path":
"tests/resources/sound_datasets/urbansed/annotations/train/soundscape_train_uniform1736.jams",
"txt_path":
"tests/resources/sound_datasets/urbansed/annotations/train/soundscape_train_uniform1736.txt",
"clip_id": "soundscape_train_uniform1736",
}
expected_property_types = {
"split": str,
"audio": tuple,
"events": annotations.Events,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "foa_dev/dev-train-sony/fold3_room21_mix001"
dataset = starss2022.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"clip_id": "foa_dev/dev-train-sony/fold3_room21_mix001",
"audio_path":
"tests/resources/sound_datasets/starss2022/foa_dev/dev-train-sony/fold3_room21_mix001.wav",
"csv_path":
"tests/resources/sound_datasets/starss2022/metadata_dev/dev-train-sony/fold3_room21_mix001.csv",
"format": "foa",
"set": "dev",
"split": "train",
}
expected_property_types = {
"audio": tuple,
"spatial_events": starss2022.SpatialEvents,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "development/airport-barcelona-0-0-a"
dataset = tau2019uas.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path":
("tests/resources/sound_datasets/tau2019uas/TAU-urban-acoustic-scenes-2019-development/audio/airport-barcelona-0-0-a.wav"
),
"clip_id":
"development/airport-barcelona-0-0-a",
}
expected_property_types = {
"split": str,
"audio": tuple,
"tags": annotations.Tags,
"city": str,
"identifier": str,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
def test_clip():
default_clipid = "1-104089-A-22"
dataset = esc50.Dataset(TEST_DATA_HOME)
clip = dataset.clip(default_clipid)
expected_attributes = {
"audio_path":
"tests/resources/sound_datasets/esc50/audio/1-104089-A-22.wav",
"clip_id": "1-104089-A-22",
}
expected_property_types = {
"filename": str,
"fold": int,
"target": int,
"category": str,
"esc10": bool,
"src_file": str,
"take": str,
"audio": tuple,
"tags": annotations.Tags,
}
run_clip_tests(clip, expected_attributes, expected_property_types)
