Run autoflake. (#127)

integration_tests/verify_tbv_download.py

@@ -5,7 +5,7 @@
 import logging
 import sys
 from pathlib import Path
-from typing import Final, List, Tuple
+from typing import Final, Tuple
 
 import click
 from rich.progress import track

src/av2/evaluation/detection/eval.py

@@ -51,12 +51,9 @@
     in addition to the mean statistics average across all classes, and P refers to the number of included statistics,
     e.g. AP, ATE, ASE, AOE, CDS by default.
 """
-import itertools
 import logging
 import multiprocessing as mp
 import warnings
-from math import inf
-from statistics import mean
 from typing import Dict, Final, List, Optional, Tuple
 
 import numpy as np

src/av2/evaluation/scene_flow/make_mask_files.py

@@ -2,7 +2,6 @@
 
 import zipfile
 from pathlib import Path
-from typing import BinaryIO
 
 import click
 import pandas as pd

src/av2/evaluation/scene_flow/make_submission_archive.py

@@ -1,16 +1,13 @@
 """Validate and package a set of prediction files for submission to the leaderboard."""
-import json
 from pathlib import Path
-from typing import Dict, Final
+from typing import Final
 from zipfile import ZipFile
 
 import click
 import numpy as np
 import pandas as pd
 from rich.progress import track
 
-import av2.evaluation.scene_flow.utils
-
 SUBMISSION_COLUMNS: Final = ("flow_tx_m", "flow_ty_m", "flow_tz_m", "is_dynamic")
 
 

src/av2/map/map_api.py

@@ -20,7 +20,6 @@
 from pathlib import Path
 from typing import Dict, Final, List, Optional, Tuple, Union
 
-import fsspec
 import numpy as np
 from upath import UPath
 

src/av2/rendering/ops/draw.py

@@ -9,7 +9,7 @@
 import numpy as np
 
 from av2.utils.constants import NAN
-from av2.utils.typing import NDArrayByte, NDArrayFloat, NDArrayInt, NDArrayNumber
+from av2.utils.typing import NDArrayByte, NDArrayFloat, NDArrayInt
 
 UINT8_MAX: Final[np.uint8] = np.uint8(np.iinfo(np.uint8).max)
 UINT8_BITS: Final[np.uint8] = np.log2(UINT8_MAX + 1).astype(np.uint8)

src/av2/torch/structures/flow.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 from dataclasses import dataclass
-from typing import Dict, Final, List, Tuple
+from typing import Dict, Final, Tuple
 
 import torch
 from kornia.geometry.linalg import transform_points

tests/evaluation/scene_flow/test_sf_submission_pipeline.py

@@ -5,7 +5,6 @@
 
 import numpy as np
 
-import av2.evaluation.scene_flow.constants
 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 make_annotation_files

tutorials/generate_forecasting_scenario_visualizations.py

@@ -7,7 +7,6 @@
 from typing import Final
 
 import click
-import numpy as np
 from joblib import Parallel, delayed
 from rich.progress import track