repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
argoverse/av2-api | import numpy as np
from av2.rendering.color import GRAY_BGR
from av2.structures.ndgrid import BEVGrid, NDGrid
from av2.utils.typing import NDArrayFloat, NDArrayInt
def test_BEVGrid_non_integer_multiple() -> None:
"""Unit test with non-integer-multiple resolution."""
min_range_m = (-5.0, -5.0)
max_range_m ... | 0 | assert | numeric_literal | tests/unit/structures/test_ndgrid.py | test_BEVGrid_non_integer_multiple | 92 | null | |
argoverse/av2-api | from typing import Any, Callable
import cv2
import numpy as np
from cv2.typing import MatLike
from av2.rendering.ops.draw import (
alpha_blend_kernel,
draw_points_kernel,
gaussian_kernel,
)
from av2.utils.typing import NDArrayByte, NDArrayInt
def _draw_points_cv2(
img: MatLike,
points_xy: NDArray... | (64, 64, 64) | assert | collection | tests/unit/rendering/ops/test_draw.py | test_alpha_blend_kernel | 54 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
import torch
from kornia.geometry.conversions import euler_from_quaternion
from torch.testing._comparison import assert_close
from av2.torch import XYZLWH_QWXYZ_COLUMNS
from av2.torch.structures.cuboids import CuboidMode, C... | category_expected | assert | variable | tests/unit/torch/structures/test_cuboids.py | test_build_cuboids | 46 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def rotmat2d(theta: float)... | ValueError) | pytest.raises | variable | tests/unit/utils/test_sim2.py | test_transform_from_wrong_dims | 272 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | AV2_CITY_NAMES | assert | variable | tests/integration/verify_tbv_download.py | verify_logs_using_dataloader | 235 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
from typing import Final
from zipfile import ZipFile
import numpy as np
import pandas as pd
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.example_submission import example_submission
from av2.evaluation.scene_flow.make_annotation_files import mak... | str(e) | assert | func_call | tests/unit/evaluation/scene_flow/test_sf_submission_pipeline.py | test_submission | 133 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def test_inverse() -> None... | wSimg.inverse() | assert | func_call | tests/unit/utils/test_sim2.py | test_inverse | 138 | null | |
argoverse/av2-api | from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import av2.rendering.video as video_utils
from av2.utils.typing import NDArrayByte, NDArrayFloat
def generate_dummy_rgb_video(N: int, H: int, W: int) -> NDArrayByte:
"""Generate dummy video data (increasing brightness from top-le... | (55, 500, 500, 3) | assert | collection | tests/unit/rendering/test_video.py | test_crop_video_to_even_dims | 84 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import av2.utils.io as io_utils
from av2.utils.io import read_ego_SE3_sensor, read_feather
def test_read_feather(test_data_root_dir: Path) -> None:
"""Read an Apache Feather file."""
feather_path = (
test_data_root_dir
/ "sensor_dataset_logs"
... | None | assert | none_literal | tests/unit/utils/test_io.py | test_read_feather | 24 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Tuple
import numpy as np
import pytest
from av2.datasets.sensor.constants import RingCameras
from av2.geometry.camera.pinhole_camera import Intrinsics, PinholeCamera
from av2.geometry.se3 import SE3
from av2.utils.typing import NDArrayFloat, NDArrayInt
_TEST_DATA_ROOT = Pa... | (img_w * img_h, 2) | assert | collection | tests/unit/geometry/test_pinhole_camera.py | test_compute_pixel_ray_directions_vectorized_entireimage | 549 | null | |
argoverse/av2-api | import math
from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
from scipy.spatial.transform import Rotation
from av2.evaluation.detection.constants import AffinityType, DistanceType
from av2.evaluation.detection.eval import evaluate
from av2.evaluation.detection.utils impor... | dts_mask_) | assert_* | variable | tests/unit/evaluation/detection/test_eval.py | test_compute_evaluated_dts_mask | 388 | null | |
argoverse/av2-api | from typing import Final, Tuple
import numpy as np
import av2.utils.dense_grid_interpolation as dense_grid_interpolation
from av2.utils.typing import NDArrayByte, NDArrayFloat, NDArrayInt
RED_RGB: Final[Tuple[int, int, int]] = (255, 0, 0)
GREEN_RGB: Final[Tuple[int, int, int]] = (0, 255, 0)
BLUE_RGB: Final[Tuple[int... | np.dtype(np.float64) | assert | func_call | tests/unit/utils/test_dense_grid_interpolation.py | test_interp_dense_grid_from_sparse_float | 108 | null | |
argoverse/av2-api | from __future__ import annotations
import importlib.util
from pathlib import Path
from types import ModuleType
import pytest
def _load_module() -> ModuleType:
root = Path(__file__).resolve().parents[2]
module_path = root / "scripts" / "validate_tag_version.py"
spec = importlib.util.spec_from_file_locatio... | ValueError) | pytest.raises | variable | tests/unit/test_validate_tag_version.py | test_cargo_version_missing_raises | 70 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Any, Callable, Tuple
import numpy as np
import pytest
from scipy.spatial.transform import Rotation
import av2.geometry.geometry as geometry_utils
from av2.datasets.sensor.constants import AnnotationCategories
from av2.geometry.geometry import mat_to_xyz, xyz_to_mat
from av2... | tait_bryan_angles_) | assert_* | variable | tests/unit/geometry/test_geometry.py | test_xyz_to_mat_round_trip | 487 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
import torch
from kornia.geometry.conversions import euler_from_quaternion
from torch.testing._comparison import assert_close
from av2.torch import XYZLWH_QWXYZ_COLUMNS
from av2.torch.structures.cuboids import CuboidMode, C... | cuboids_xyzlwh_qwxyz[:, :6]) | assert_* | complex_expr | tests/unit/torch/structures/test_cuboids.py | test_build_cuboids | 33 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
import numpy as np
import av2.evaluation.scene_flow.constants as constants
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.make_annotation_files import write_annotation
from av2.evaluation.scene_flow.utils import write_output_file
gts = np.array(
... | 18 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_eval.py | test_average_metrics | 320 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def rotmat2d(theta: float)... | [0, 1, 1, 0] | assert | collection | tests/unit/utils/test_sim2.py | test_save_as_json | 304 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | EXPECTED_NUM_TBV_SWEEPS | assert | variable | tests/integration/verify_tbv_download.py | run_verify_all_tbv_logs | 283 | null | |
argoverse/av2-api | from typing import Any, Callable
import cv2
import numpy as np
from cv2.typing import MatLike
from av2.rendering.ops.draw import (
alpha_blend_kernel,
draw_points_kernel,
gaussian_kernel,
)
from av2.utils.typing import NDArrayByte, NDArrayInt
def _draw_points_cv2(
img: MatLike,
points_xy: NDArray... | 1.0 | assert | numeric_literal | tests/unit/rendering/ops/test_draw.py | test_gaussian_kernel | 72 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
from typing import Final
from zipfile import ZipFile
import numpy as np
import pandas as pd
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.example_submission import example_submission
from av2.evaluation.scene_flow.make_annotation_files import mak... | 0.06 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_submission_pipeline.py | test_submission | 70 | null | |
argoverse/av2-api | from enum import Enum
from typing import Any, Callable, List, Tuple
import numpy as np
import pytest
from av2.datasets.sensor.constants import AnnotationCategories
from av2.geometry.se3 import SE3
from av2.structures.cuboid import Cuboid, CuboidList
from av2.utils.typing import NDArrayBool, NDArrayFloat
def _get_dum... | width_m_expected | assert | variable | tests/unit/structures/test_cuboid.py | test_cuboid_constructor | 162 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.geometry.se3 import SE3
from av2.utils.typing import NDArrayFloat
def test_get_subsampled_ego_trajectory(test_data_root_dir: Path) -> None:
"""Ensure we can sample the poses at a specifi... | (2637, 2) | assert | collection | tests/unit/datasets/sensor/test_av2_sensor_dataloader.py | test_get_subsampled_ego_trajectory | 28 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
from typing import Final
from zipfile import ZipFile
import numpy as np
import pandas as pd
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.example_submission import example_submission
from av2.evaluation.scene_flow.make_annotation_files import mak... | 1e-4 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_submission_pipeline.py | test_submission | 73 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | MIN_NUM_IMAGES_PER_CAMERA | assert | variable | tests/integration/verify_tbv_download.py | verify_log_contents | 62 | null | |
argoverse/av2-api | import unittest
from av2.map.lane_segment import LaneMarkType, LaneSegment, LaneType
from av2.map.map_primitives import Point, Polyline
class TestLaneSegment(unittest.TestCase):
def test_from_dict(self) -> None:
"""Ensure object is generated correctly from a dictionary."""
json_data = {
... | None | assert | none_literal | tests/unit/map/test_lane_segment.py | test_from_dict | TestLaneSegment | 58 | null |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | 93269421 | assert | numeric_literal | tests/unit/map/test_map_api.py | test_get_lane_segment_left_neighbor_id | TestArgoverseStaticMap | 176 | null |
argoverse/av2-api | from pathlib import Path
from typing import Any, Callable, Tuple
import numpy as np
import pytest
from scipy.spatial.transform import Rotation
import av2.geometry.geometry as geometry_utils
from av2.datasets.sensor.constants import AnnotationCategories
from av2.geometry.geometry import mat_to_xyz, xyz_to_mat
from av2... | mask) | assert_* | variable | tests/unit/geometry/test_geometry.py | test_crop_points | 272 | null | |
argoverse/av2-api | from __future__ import annotations
import importlib.util
from pathlib import Path
from types import ModuleType
def _load_module() -> ModuleType:
root = Path(__file__).resolve().parents[2]
module_path = root / "scripts" / "resolve_release_version.py"
spec = importlib.util.spec_from_file_location(
"... | "1.2.3" | assert | string_literal | tests/unit/test_release_version.py | test_resolve_from_tag_ref | 26 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def test_compose_2() -> No... | 2.0 | assert | numeric_literal | tests/unit/utils/test_sim2.py | test_compose_2 | 111 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | 93269526 | assert | numeric_literal | tests/unit/map/test_map_api.py | test_get_lane_segment_right_neighbor_id | TestArgoverseStaticMap | 193 | null |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | extrinsics_df["sensor_name"].tolist() | assert | func_call | tests/integration/verify_tbv_download.py | verify_log_contents | 123 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
from typing import Dict, Final, List
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.sensor.sensor_dataloader import SensorDataloader
SENSOR_TIMESTAMPS_MS_DICT: Final[Dict[str, Li... | None | assert | none_literal | tests/unit/datasets/sensor/test_sensor_dataloader.py | test_sensor_data_loader_milliseconds | 100 | null | |
argoverse/av2-api | from pathlib import Path
from typing import List
import numpy as np
from av2.datasets.motion_forecasting import scenario_serialization
from av2.datasets.motion_forecasting.data_schema import (
ArgoverseScenario,
ObjectState,
ObjectType,
Track,
TrackCategory,
)
_TEST_OBJECT_STATES: List[ObjectStat... | test_scenario_id | assert | variable | tests/unit/datasets/motion_forecasting/test_scenario_serialization.py | test_load_argoverse_scenario_parquet | 91 | null | |
argoverse/av2-api | from typing import Any, Callable
import cv2
import numpy as np
from cv2.typing import MatLike
import av2.utils.raster as raster_utils
from av2.utils.typing import NDArrayByte, NDArrayFloat
def test_get_mask_from_polygon() -> None:
"""Ensure that a triangle and skinny-column-like rectangle can be correctly raster... | expected_mask.dtype | assert | complex_expr | tests/unit/utils/test_raster.py | test_get_mask_from_polygon | 52 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def rotmat2d(theta: float)... | bSc | assert | variable | tests/unit/utils/test_sim2.py | test_round_trip | 316 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | None | assert | none_literal | tests/unit/map/test_map_api.py | test_get_lane_segment_left_neighbor_id | TestArgoverseStaticMap | 164 | null |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def rotmat2d(theta: float)... | [-5, 5] | assert | collection | tests/unit/utils/test_sim2.py | test_save_as_json | 305 | null | |
argoverse/av2-api | import numpy as np
import pandas as pd
import torch
from kornia.geometry.liegroup import Se3, So3
from kornia.geometry.quaternion import Quaternion
from torch.testing._comparison import assert_close
from av2.torch import QWXYZ_COLUMNS, TRANSLATION_COLUMNS
from av2.torch.structures.utils import SE3_from_frame, tensor_f... | tensor_expected) | assert_* | variable | tests/unit/torch/structures/test_utils.py | test_tensor_from_frame | 45 | null | |
argoverse/av2-api | from typing import Any, Callable
import cv2
import numpy as np
from cv2.typing import MatLike
from av2.rendering.ops.draw import (
alpha_blend_kernel,
draw_points_kernel,
gaussian_kernel,
)
from av2.utils.typing import NDArrayByte, NDArrayInt
def _draw_points_cv2(
img: MatLike,
points_xy: NDArray... | (128, 128, 128) | assert | collection | tests/unit/rendering/ops/test_draw.py | test_alpha_blend_kernel | 62 | null | |
argoverse/av2-api | import unittest
from av2.map.lane_segment import LaneMarkType, LaneSegment, LaneType
from av2.map.map_primitives import Point, Polyline
class TestLaneSegment(unittest.TestCase):
def test_from_dict(self) -> None:
"""Ensure object is generated correctly from a dictionary."""
json_data = {
... | 93269421 | assert | numeric_literal | tests/unit/map/test_lane_segment.py | test_from_dict | TestLaneSegment | 40 | null |
argoverse/av2-api | from pathlib import Path
from typing import Any, Callable, Tuple
import numpy as np
import pytest
from scipy.spatial.transform import Rotation
import av2.geometry.geometry as geometry_utils
from av2.datasets.sensor.constants import AnnotationCategories
from av2.geometry.geometry import mat_to_xyz, xyz_to_mat
from av2... | cropped_xyz) | assert_* | variable | tests/unit/geometry/test_geometry.py | test_crop_points | 271 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
import numpy as np
import av2.evaluation.scene_flow.constants as constants
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.make_annotation_files import write_annotation
from av2.evaluation.scene_flow.utils import write_output_file
gts = np.array(
... | 3 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_eval.py | test_true_negatives | 164 | null | |
argoverse/av2-api | from __future__ import annotations
import importlib.util
from pathlib import Path
from types import ModuleType
def _load_module() -> ModuleType:
root = Path(__file__).resolve().parents[2]
module_path = root / "scripts" / "resolve_release_version.py"
spec = importlib.util.spec_from_file_location(
"... | "1.2.4" | assert | string_literal | tests/unit/test_release_version.py | test_resolve_from_latest_tag_patch_bump | 31 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
import torch
from kornia.geometry.conversions import euler_from_quaternion
from torch.testing._comparison import assert_close
from av2.torch import XYZLWH_QWXYZ_COLUMNS
from av2.torch.structures.cuboids import CuboidMode, C... | yaw) | assert_* | variable | tests/unit/torch/structures/test_cuboids.py | test_build_cuboids | 37 | null | |
argoverse/av2-api | from typing import List
import numpy as np
import av2.geometry.mesh_grid as mesh_grid_utils
from av2.utils.typing import NDArrayFloat
def test_get_mesh_grid_as_point_cloud_single_pt() -> None:
"""Ensure a sampled regular grid returns only 1 point for a range of 0 meters in x and 0 meters in y."""
min_x = -3 ... | (1, 2) | assert | collection | tests/unit/utils/test_mesh_grid.py | test_get_mesh_grid_as_point_cloud_single_pt | 82 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pandas as pd
import av2.torch.data_loaders.scene_flow
from av2.evaluation.scene_flow.utils import compute_eval_point_mask, get_eval_subset
from av2.torch.structures.flow import Flow
from av2.torch.structures.sweep import Sweep
from av2.utils.typing import NDArrayBool... | 1 | assert | numeric_literal | tests/unit/torch/data_loaders/test_scene_flow_dataloader.py | test_scene_flow_dataloader | 48 | null | |
argoverse/av2-api | from contextlib import AbstractContextManager
from contextlib import nullcontext as does_not_raise
from typing import Final
import numpy as np
import pytest
import av2.datasets.motion_forecasting.eval.metrics as metrics
from av2.utils.typing import NDArrayFloat
test_N: Final[int] = 10
_STATIONARY_GT_TRAJ = np.zeros(... | expected_ade) | assert_* | variable | tests/unit/datasets/motion_forecasting/eval/test_metrics.py | test_compute_ade | 76 | null | |
argoverse/av2-api | from typing import List
import numpy as np
import av2.geometry.mesh_grid as mesh_grid_utils
from av2.utils.typing import NDArrayFloat
def test_get_mesh_grid_as_point_cloud_downsample() -> None:
"""Given 3x3 area, ensure a sampled regular grid returns coordinates at 4 corners only."""
min_x = -3 # integer, m... | (4, 2) | assert | collection | tests/unit/utils/test_mesh_grid.py | test_get_mesh_grid_as_point_cloud_downsample | 100 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import av2.utils.io as io_utils
from av2.utils.io import read_ego_SE3_sensor, read_feather
def test_read_lidar_sweep() -> None:
"""Read 3d point coordinates from a LiDAR sweep file from an example log."""
log_id = "adcf7d18-0510-35b0-a2fa-b4cea13a6d76"
EXAMPLE_... | np.dtype(np.float64) | assert | func_call | tests/unit/utils/test_io.py | test_read_lidar_sweep | 51 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | MIN_NUM_SWEEPS_PER_LOG | assert | variable | tests/integration/verify_tbv_download.py | verify_log_contents | 82 | null | |
argoverse/av2-api | import numpy as np
import av2.rendering.color as color_utils
from av2.rendering.color import GREEN_HEX, RED_HEX
def test_create_colormap() -> None:
"""Ensure we can create a red-to-green RGB colormap with values in [0,1]."""
colors_arr_rgb = color_utils.create_colormap(
color_list=[RED_HEX, GREEN_HEX]... | (10, 3) | assert | collection | tests/unit/rendering/test_color.py | test_create_colormap | 18 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | 1 | assert | numeric_literal | tests/integration/verify_tbv_download.py | verify_log_map | 166 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def test_compose_1() -> No... | imgSw.compose(wSimg) | assert | func_call | tests/unit/utils/test_sim2.py | test_compose_1 | 98 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Tuple
import numpy as np
import pytest
from av2.datasets.sensor.constants import RingCameras
from av2.geometry.camera.pinhole_camera import Intrinsics, PinholeCamera
from av2.geometry.se3 import SE3
from av2.utils.typing import NDArrayFloat, NDArrayInt
_TEST_DATA_ROOT = Pa... | ValueError) | pytest.raises | variable | tests/unit/geometry/test_pinhole_camera.py | test_compute_pixel_ray_directions_vectorized_invalid_focal_lengths | 468 | null | |
argoverse/av2-api | import math
from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
from scipy.spatial.transform import Rotation
from av2.evaluation.detection.constants import AffinityType, DistanceType
from av2.evaluation.detection.eval import evaluate
from av2.evaluation.detection.utils impor... | expected_result | assert | variable | tests/unit/evaluation/detection/test_eval.py | test_affinity_center | 105 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | [ "pedestrian_crossings", "lane_segments", "drivable_areas", ] | assert | collection | tests/integration/verify_tbv_download.py | verify_log_map | 182 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
from typing import Final
from zipfile import ZipFile
import numpy as np
import pandas as pd
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.example_submission import example_submission
from av2.evaluation.scene_flow.make_annotation_files import mak... | 0 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_submission_pipeline.py | test_submission | 80 | null | |
argoverse/av2-api | import math
from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
from scipy.spatial.transform import Rotation
from av2.evaluation.detection.constants import AffinityType, DistanceType
from av2.evaluation.detection.eval import evaluate
from av2.evaluation.detection.utils impor... | expected_result_det | assert | variable | tests/unit/evaluation/detection/test_eval.py | test_translation_error | 303 | null | |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def rotmat2d(theta: float)... | 135 | assert | numeric_literal | tests/unit/utils/test_sim2.py | test_sim2_theta_deg_2 | 252 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Any, Callable, Tuple
import numpy as np
import pytest
from scipy.spatial.transform import Rotation
import av2.geometry.geometry as geometry_utils
from av2.datasets.sensor.constants import AnnotationCategories
from av2.geometry.geometry import mat_to_xyz, xyz_to_mat
from av2... | rotation_matrix_) | assert_* | variable | tests/unit/geometry/test_geometry.py | test_mat_to_xyz_round_trip | 501 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | (775, 1024, 3) | assert | collection | tests/integration/verify_tbv_download.py | verify_log_contents | 77 | null | |
argoverse/av2-api | import unittest
from av2.map.lane_segment import LaneMarkType, LaneSegment, LaneType
from av2.map.map_primitives import Point, Polyline
class TestLaneSegment(unittest.TestCase):
def test_from_dict(self) -> None:
"""Ensure object is generated correctly from a dictionary."""
json_data = {
... | 93269520 | assert | numeric_literal | tests/unit/map/test_lane_segment.py | test_from_dict | TestLaneSegment | 57 | null |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pandas as pd
import av2.torch.data_loaders.scene_flow
from av2.evaluation.scene_flow.utils import compute_eval_point_mask, get_eval_subset
from av2.torch.structures.flow import Flow
from av2.torch.structures.sweep import Sweep
from av2.utils.typing import NDArrayBool... | None | assert | none_literal | tests/unit/torch/data_loaders/test_scene_flow_dataloader.py | test_scene_flow_dataloader | 26 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | vector_da.xyz[171]) | assert_* | complex_expr | tests/unit/map/test_map_api.py | test_get_scenario_vector_drivable_areas | TestArgoverseStaticMap | 327 | null |
argoverse/av2-api | import numpy as np
import pandas as pd
import torch
from kornia.geometry.liegroup import Se3, So3
from kornia.geometry.quaternion import Quaternion
from torch.testing._comparison import assert_close
from av2.torch import QWXYZ_COLUMNS, TRANSLATION_COLUMNS
from av2.torch.structures.utils import SE3_from_frame, tensor_f... | city_SE3_ego_expected.translation) | assert_* | complex_expr | tests/unit/torch/structures/test_utils.py | test_SE3_from_frame | 63 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | 4 | assert | numeric_literal | tests/unit/map/test_map_api.py | test_from_array | TestPolyline | 87 | null |
argoverse/av2-api | import tempfile
from pathlib import Path
from typing import Dict, Final, List
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.sensor.sensor_dataloader import SensorDataloader
SENSOR_TIMESTAMPS_MS_DICT: Final[Dict[str, Li... | bf_result | assert | variable | tests/unit/datasets/sensor/test_sensor_dataloader.py | test_sensor_data_loader_milliseconds | 155 | null | |
argoverse/av2-api | from __future__ import annotations
import importlib.util
from pathlib import Path
from types import ModuleType
import pytest
def _load_module() -> ModuleType:
root = Path(__file__).resolve().parents[2]
module_path = root / "scripts" / "validate_tag_version.py"
spec = importlib.util.spec_from_file_locatio... | "9.8.7" | assert | string_literal | tests/unit/test_validate_tag_version.py | test_cargo_version_reads_file | 63 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | 93269520 | assert | numeric_literal | tests/unit/map/test_map_api.py | test_get_lane_segment_right_neighbor_id | TestArgoverseStaticMap | 187 | null |
argoverse/av2-api | import tempfile
from pathlib import Path
import numpy as np
import av2.evaluation.scene_flow.constants as constants
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.make_annotation_files import write_annotation
from av2.evaluation.scene_flow.utils import write_output_file
gts = np.array(
... | 8 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_eval.py | test_metrics | 199 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | 93269458 | assert | numeric_literal | tests/unit/map/test_map_api.py | test_get_lane_segment_right_neighbor_id | TestArgoverseStaticMap | 199 | null |
argoverse/av2-api | import math
from pathlib import Path
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import av2.utils.io as io_utils
from av2.geometry.sim2 import Sim2
from av2.utils.typing import NDArrayFloat
_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "test_data"
def test_is_eq() -> None:
... | bSa_ | assert | variable | tests/unit/utils/test_sim2.py | test_is_eq | 35 | null | |
argoverse/av2-api | import math
from pathlib import Path
from typing import Final, List
import numpy as np
import pandas as pd
from scipy.spatial.transform import Rotation
from av2.evaluation.detection.constants import AffinityType, DistanceType
from av2.evaluation.detection.eval import evaluate
from av2.evaluation.detection.utils impor... | gts_mask_) | assert_* | variable | tests/unit/evaluation/detection/test_eval.py | test_compute_evaluated_gts_mask | 470 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | mf_scenario_id | assert | variable | tests/unit/map/test_map_api.py | test_load_motion_forecasting_map | 430 | null | |
argoverse/av2-api | from pathlib import Path
from typing import List
import numpy as np
from av2.datasets.motion_forecasting import scenario_serialization
from av2.datasets.motion_forecasting.data_schema import (
ArgoverseScenario,
ObjectState,
ObjectType,
Track,
TrackCategory,
)
_TEST_OBJECT_STATES: List[ObjectStat... | _TEST_SCENARIO | assert | variable | tests/unit/datasets/motion_forecasting/test_scenario_serialization.py | test_parquet_scenario_serialization_roundtrip | 73 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pandas as pd
import av2.torch.data_loaders.scene_flow
from av2.evaluation.scene_flow.utils import compute_eval_point_mask, get_eval_subset
from av2.torch.structures.flow import Flow
from av2.torch.structures.sweep import Sweep
from av2.utils.typing import NDArrayBool... | 0 | assert | numeric_literal | tests/unit/torch/data_loaders/test_scene_flow_dataloader.py | test_scene_flow_dataloader | 85 | null | |
argoverse/av2-api | from pathlib import Path
from typing import Final
import numpy as np
import pandas as pd
import torch
from torch.testing._comparison import assert_close
from av2.torch import LIDAR_COLUMNS
from av2.torch.structures.lidar import Lidar
TEST_DATA_DIR: Final = Path(__file__).parent.parent.parent.resolve() / "test_data"
... | lidar_tensor) | assert_* | variable | tests/unit/torch/structures/test_lidar.py | test_build_lidar | 30 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | EXPECTED_NUM_TBV_IMAGES | assert | variable | tests/integration/verify_tbv_download.py | run_verify_all_tbv_logs | 279 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | (172, 3) | assert | collection | tests/unit/map/test_map_api.py | test_get_scenario_vector_drivable_areas | TestArgoverseStaticMap | 324 | null |
argoverse/av2-api | import tempfile
from pathlib import Path
import numpy as np
import av2.evaluation.scene_flow.constants as constants
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.make_annotation_files import write_annotation
from av2.evaluation.scene_flow.utils import write_output_file
gts = np.array(
... | 2 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_eval.py | test_true_positives | 156 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import av2.utils.io as io_utils
from av2.utils.io import read_ego_SE3_sensor, read_feather
def test_read_lidar_sweep() -> None:
"""Read 3d point coordinates from a LiDAR sweep file from an example log."""
log_id = "adcf7d18-0510-35b0-a2fa-b4cea13a6d76"
EXAMPLE_... | (100660, 3) | assert | collection | tests/unit/utils/test_io.py | test_read_lidar_sweep | 50 | null | |
argoverse/av2-api | import logging
import sys
from pathlib import Path
from typing import Final, Tuple
import click
from rich.progress import track
import av2.utils.io as io_utils
from av2.datasets.sensor.av2_sensor_dataloader import AV2SensorDataLoader
from av2.datasets.sensor.constants import RingCameras
from av2.datasets.tbv.splits i... | (2048, 1550, 3) | assert | collection | tests/integration/verify_tbv_download.py | verify_log_contents | 75 | null | |
argoverse/av2-api | import tempfile
from pathlib import Path
import numpy as np
import av2.evaluation.scene_flow.constants as constants
import av2.evaluation.scene_flow.eval as eval
from av2.evaluation.scene_flow.make_annotation_files import write_annotation
from av2.evaluation.scene_flow.utils import write_output_file
gts = np.array(
... | 38 | assert | numeric_literal | tests/unit/evaluation/scene_flow/test_sf_eval.py | test_average_metrics | 335 | null | |
argoverse/av2-api | from typing import List
import numpy as np
import av2.geometry.mesh_grid as mesh_grid_utils
from av2.utils.typing import NDArrayFloat
def test_get_mesh_grid_as_point_cloud_3x2rect() -> None:
"""Ensure a sampled regular grid returns 6 grid points from 1 meter resolution on 1x2 meter area."""
min_x = -3 # int... | (6, 2) | assert | collection | tests/unit/utils/test_mesh_grid.py | test_get_mesh_grid_as_point_cloud_3x2rect | 55 | null | |
argoverse/av2-api | from typing import Any, Callable
import cv2
import numpy as np
from cv2.typing import MatLike
from av2.rendering.ops.draw import (
alpha_blend_kernel,
draw_points_kernel,
gaussian_kernel,
)
from av2.utils.typing import NDArrayByte, NDArrayInt
def _draw_points_cv2(
img: MatLike,
points_xy: NDArray... | (96, 96, 96) | assert | collection | tests/unit/rendering/ops/test_draw.py | test_alpha_blend_kernel | 58 | null | |
argoverse/av2-api | from pathlib import Path
import numpy as np
import pytest
from av2.map.drivable_area import DrivableArea
from av2.map.lane_segment import LaneSegment
from av2.map.map_api import ArgoverseStaticMap
from av2.map.map_primitives import Point, Polyline
from av2.map.pedestrian_crossing import PedestrianCrossing
from av2.ut... | point_cloud.shape[0] | assert | complex_expr | tests/unit/map/test_map_api.py | test_get_ground_height_at_xy | TestArgoverseStaticMap | 369 | null |
argoverse/av2-api | from __future__ import annotations
import importlib.util
from pathlib import Path
from types import ModuleType
import pytest
def _load_module() -> ModuleType:
root = Path(__file__).resolve().parents[2]
module_path = root / "scripts" / "validate_tag_version.py"
spec = importlib.util.spec_from_file_locatio... | "1.2.3" | assert | string_literal | tests/unit/test_validate_tag_version.py | test_tag_version_from_ref_with_v_prefix | 26 | null | |
bitsandbytes-foundation/bitsandbytes | import pytest
from bitsandbytes.cextension import HIP_ENVIRONMENT, get_cuda_bnb_library_path
from bitsandbytes.cuda_specs import CUDASpecs
def cuda120_spec() -> CUDASpecs:
return CUDASpecs(
cuda_version_string="120",
highest_compute_capability=(8, 6),
cuda_version_tuple=(12, 0),
)
@py... | "libbitsandbytes_cuda110" | assert | string_literal | tests/test_cuda_setup_evaluator.py | test_get_cuda_bnb_library_path_override | 25 | null | |
bitsandbytes-foundation/bitsandbytes | import copy
import os
import pathlib
import pickle
import platform
import subprocess
import sys
from tempfile import TemporaryDirectory
import pytest
import torch
import bitsandbytes as bnb
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from tests.helpers import (
TRUE_FALSE,
describe_dtype,
get_av... | 0 | assert | numeric_literal | tests/test_linear4bit.py | test_params4bit_torch_chunk_split | 246 | null | |
bitsandbytes-foundation/bitsandbytes | import pytest
import torch
import torch.nn as nn
from bitsandbytes import functional as F
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from bitsandbytes.nn.parametrize import (
Bnb4bitParametrization,
replace_parameter_4bit,
replace_parameter_4bit_prequantized,
)
from tests.helpers import (
TR... | 0.5 | assert | numeric_literal | tests/test_parametrize.py | test_moe_realistic_forward | 233 | null | |
bitsandbytes-foundation/bitsandbytes | from contextlib import nullcontext
import copy
import os
import pickle
import platform
import sys
from tempfile import TemporaryDirectory
import pytest
import torch
import bitsandbytes as bnb
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from bitsandbytes.nn.modules import Linear8bitLt
from tests.helpers impo... | ref_output.dtype | assert | complex_expr | tests/test_linear8bitlt.py | test_linear8bitlt_torch_compile | 279 | null | |
bitsandbytes-foundation/bitsandbytes | from contextlib import nullcontext
import copy
import os
import pickle
import platform
import sys
from tempfile import TemporaryDirectory
import pytest
import torch
import bitsandbytes as bnb
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from bitsandbytes.nn.modules import Linear8bitLt
from tests.helpers impo... | shallow_copy.bias | assert | complex_expr | tests/test_linear8bitlt.py | test_linear8bit_copy_param | 199 | null | |
bitsandbytes-foundation/bitsandbytes | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | p2.float()) | assert_* | func_call | tests/test_optim.py | test_optimizer32bit | 227 | null | |
bitsandbytes-foundation/bitsandbytes | import pytest
from bitsandbytes.cextension import HIP_ENVIRONMENT, get_cuda_bnb_library_path
from bitsandbytes.cuda_specs import CUDASpecs
def cuda120_spec() -> CUDASpecs:
return CUDASpecs(
cuda_version_string="120",
highest_compute_capability=(8, 6),
cuda_version_tuple=(12, 0),
)
@py... | "libbitsandbytes_cuda120" | assert | string_literal | tests/test_cuda_setup_evaluator.py | test_get_cuda_bnb_library_path | 19 | null | |
bitsandbytes-foundation/bitsandbytes | import math
import platform
import random
import time
import einops
from packaging import version
import pytest
import torch
import bitsandbytes as bnb
from bitsandbytes import functional as F
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from tests.helpers import (
BOOLEAN_TUPLES,
TRUE_FALSE,
des... | 0.11 | assert | numeric_literal | tests/test_functional.py | test_4bit_compressed_stats | TestQuantize4BitFunctional | 946 | null |
bitsandbytes-foundation/bitsandbytes | import math
import platform
import random
import time
import einops
from packaging import version
import pytest
import torch
import bitsandbytes as bnb
from bitsandbytes import functional as F
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from tests.helpers import (
BOOLEAN_TUPLES,
TRUE_FALSE,
des... | A2) | assert_* | variable | tests/test_functional.py | test_coo_double_quant | TestLLMInt8Functional | 818 | null |
bitsandbytes-foundation/bitsandbytes | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("device", get_available_devices())
def test_... | A.device | assert | complex_expr | tests/test_ops.py | test_int8_linear_matmul | TestLLMInt8Ops | 27 | null |
bitsandbytes-foundation/bitsandbytes | from math import prod
import pytest
import torch
import bitsandbytes
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from tests.helpers import TRUE_FALSE, get_available_devices, id_formatter, is_supported_on_hpu
class TestLLMInt8Ops:
@pytest.mark.parametrize("threshold", [0.0, 6.0])
@pytest.mark.param... | (10, 20) | assert | collection | tests/test_ops.py | test_int8_vectorwise_quant | TestLLMInt8Ops | 53 | null |
bitsandbytes-foundation/bitsandbytes | import os
from os.path import join
import shutil
import sys
import time
import uuid
from lion_pytorch import Lion
import pytest
import torch
import bitsandbytes as bnb
import bitsandbytes.functional as F
from bitsandbytes.utils import sync_gpu
from tests.helpers import describe_dtype, get_available_devices, id_format... | torch.float32 | assert | complex_expr | tests/test_optim.py | test_override_config_after_register | 341 | null | |
bitsandbytes-foundation/bitsandbytes | import pytest
import torch
import torch.nn as nn
from bitsandbytes import functional as F
from bitsandbytes.cextension import ROCM_WARP_SIZE_64
from bitsandbytes.nn.parametrize import (
Bnb4bitParametrization,
replace_parameter_4bit,
replace_parameter_4bit_prequantized,
)
from tests.helpers import (
TR... | "nf4" | assert | string_literal | tests/test_parametrize.py | test_quant_state_preservation | 279 | null |
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