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)