I have linted everything

adell_mri/entrypoints/classification/test.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/classification_deconfounder/test.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/classification_deconfounder/train.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/classification_ensemble/predict.py

@@ -1,4 +1,3 @@
-import argparse
 import json
 import torch
 import monai

adell_mri/entrypoints/classification_ensemble/test.py

@@ -1,4 +1,3 @@
-import argparse
 import json
 import numpy as np
 import torch

adell_mri/entrypoints/classification_ensemble/train.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/classification_mil/predict.py

@@ -1,4 +1,3 @@
-import argparse
 import random
 import json
 import numpy as np

adell_mri/entrypoints/classification_mil/test.py

@@ -1,5 +1,3 @@
-import os
-import argparse
 import random
 import json
 import numpy as np

adell_mri/entrypoints/classification_mil/train.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/detection/predict.py

@@ -11,9 +11,7 @@
     filter_dictionary_with_presence,
 )
 from ...utils.network_factories import get_detection_network
-import argparse
 import yaml
-import numpy as np
 import torch
 import monai
 import json

adell_mri/entrypoints/generative/generate.py

@@ -4,7 +4,6 @@
 import torch
 import monai
 import SimpleITK as sitk
-from copy import deepcopy
 from pathlib import Path
 from tqdm import tqdm
 

adell_mri/entrypoints/segmentation/train.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/segmentation_from_2d_module/train.py

@@ -1,6 +1,4 @@
-import argparse
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/ssl/train_3d.py

@@ -1,5 +1,4 @@
 import random
-import json
 import numpy as np
 import torch
 import monai

adell_mri/entrypoints/utils/dataset/flatten_dataset_json.py

@@ -1,7 +1,5 @@
 import argparse
 import json
-import numpy as np
-from tqdm import tqdm
 
 desc = "Creates individual entries from a hierarchical JSON"
 

adell_mri/entrypoints/utils/dataset/get_test_set_and_folds.py

@@ -1,10 +1,8 @@
 import argparse
 import json
 import numpy as np
-import os
 from sklearn.model_selection import StratifiedKFold, KFold, train_test_split
 from ....utils.parser import parse_ids
-from typing import List, Dict
 
 desc = "Splits JSON dataset entries into test set and folds"
 

adell_mri/entrypoints/utils/preprocessing/resample_volumes_and_masks.py

@@ -1,7 +1,6 @@
 import os
 import argparse
 import re
-import numpy as np
 import SimpleITK as sitk
 from pathlib import Path
 from tqdm import tqdm

adell_mri/modules/classification/classification/classification.py

@@ -1,5 +1,4 @@
 import time
-import numpy as np
 import torch
 import torch.nn.functional as F
 

adell_mri/modules/losses.py

@@ -1,4 +1,4 @@
-from .classification.losses import *
-from .segmentation.losses import *
-from .object_detection.losses import *
-from .self_supervised.losses import *
+from .classification.losses import *  # noqa
+from .segmentation.losses import *  # noqa
+from .object_detection.losses import *  # noqa
+from .self_supervised.losses import *  # noqa

adell_mri/modules/semi_supervised_segmentation/losses.py

@@ -4,8 +4,6 @@
 from queue import Queue
 from math import prod
 
-from typing import Any
-
 
 def swap(xs, a, b):
     xs[a], xs[b] = xs[b], xs[a]

adell_mri/utils/monai_transforms/image_intensity_ops.py

@@ -5,7 +5,6 @@
 
 from ...custom_types import (
     TensorDict,
-    TensorOrNDarray,
 )