3990 Fix check failures of new flake8

monai/transforms/spatial/array.py

@@ -461,7 +461,7 @@ def __init__(
         self,
         axcodes: Optional[str] = None,
         as_closest_canonical: bool = False,
-        labels: Optional[Sequence[Tuple[str, str]]] = tuple(zip("LPI", "RAS")),
+        labels: Optional[Sequence[Tuple[str, str]]] = (("L", "R"), ("P", "A"), ("I", "S")),
         image_only: bool = False,
     ) -> None:
         """

monai/transforms/spatial/dictionary.py

@@ -592,7 +592,7 @@ def __init__(
         keys: KeysCollection,
         axcodes: Optional[str] = None,
         as_closest_canonical: bool = False,
-        labels: Optional[Sequence[Tuple[str, str]]] = tuple(zip("LPI", "RAS")),
+        labels: Optional[Sequence[Tuple[str, str]]] = (("L", "R"), ("P", "A"), ("I", "S")),
         meta_keys: Optional[KeysCollection] = None,
         meta_key_postfix: str = DEFAULT_POST_FIX,
         allow_missing_keys: bool = False,

monai/utils/misc.py

@@ -57,7 +57,8 @@
 _seed = None
 _flag_deterministic = torch.backends.cudnn.deterministic
 _flag_cudnn_benchmark = torch.backends.cudnn.benchmark
-MAX_SEED = np.iinfo(np.uint32).max + 1  # 2**32, the actual seed should be in [0, MAX_SEED - 1] for uint32
+NP_MAX = np.iinfo(np.uint32).max
+MAX_SEED = NP_MAX + 1  # 2**32, the actual seed should be in [0, MAX_SEED - 1] for uint32
 
 
 def zip_with(op, *vals, mapfunc=map):
@@ -225,7 +226,7 @@ def get_seed() -> Optional[int]:
 
 
 def set_determinism(
-    seed: Optional[int] = np.iinfo(np.uint32).max,
+    seed: Optional[int] = NP_MAX,
     use_deterministic_algorithms: Optional[bool] = None,
     additional_settings: Optional[Union[Sequence[Callable[[int], Any]], Callable[[int], Any]]] = None,
 ) -> None:
@@ -250,7 +251,7 @@ def set_determinism(
     """
     if seed is None:
         # cast to 32 bit seed for CUDA
-        seed_ = torch.default_generator.seed() % (np.iinfo(np.int32).max + 1)
+        seed_ = torch.default_generator.seed() % MAX_SEED
         torch.manual_seed(seed_)
     else:
         seed = int(seed) % MAX_SEED

tests/test_integration_workers.py

@@ -19,9 +19,11 @@
 from tests.utils import DistTestCase, SkipIfBeforePyTorchVersion, TimedCall, skip_if_no_cuda, skip_if_quick
 
 
-def run_loading_test(num_workers=50, device="cuda:0" if torch.cuda.is_available() else "cpu", pw=False):
+def run_loading_test(num_workers=50, device=None, pw=False):
     """multi workers stress tests"""
     set_determinism(seed=0)
+    if device is None:
+        device = "cuda:0" if torch.cuda.is_available() else "cpu"
     train_ds = list(range(10000))
     train_loader = DataLoader(train_ds, batch_size=300, shuffle=True, num_workers=num_workers, persistent_workers=pw)
     answer = []