autofix

Author: garciadias

monai/utils/jupyter_utils.py

@@ -234,7 +234,7 @@ def plot_engine_status(
 
 
 def _get_loss_from_output(
-    output: list[torch.Tensor | dict[str, torch.Tensor]] | dict[str, torch.Tensor] | torch.Tensor,
+    output: list[torch.Tensor | dict[str, torch.Tensor]] | dict[str, torch.Tensor] | torch.Tensor
 ) -> torch.Tensor:
     """Returns a single value from the network output, which is a dict or tensor."""
 

tests/data/test_itk_torch_bridge.py

@@ -36,7 +36,13 @@
 from monai.networks.blocks import Warp
 from monai.transforms import Affine
 from monai.utils import optional_import, set_determinism
-from tests.test_utils import assert_allclose, skip_if_downloading_fails, skip_if_quick, test_is_quick, testing_data_config
+from tests.test_utils import (
+    assert_allclose,
+    skip_if_downloading_fails,
+    skip_if_quick,
+    test_is_quick,
+    testing_data_config,
+)
 
 itk, has_itk = optional_import("itk")
 _, has_nib = optional_import("nibabel")

tests/integration/test_integration_classification_2d.py

@@ -38,8 +38,8 @@
     Transpose,
 )
 from monai.utils import set_determinism
-from tests.testing_data.integration_answers import test_integration_value
 from tests.test_utils import DistTestCase, TimedCall, skip_if_downloading_fails, skip_if_quick, testing_data_config
+from tests.testing_data.integration_answers import test_integration_value
 
 TASK = "integration_classification_2d"
 

tests/integration/test_integration_segmentation_3d.py

@@ -41,8 +41,8 @@
 )
 from monai.utils import optional_import, set_determinism
 from monai.visualize import plot_2d_or_3d_image
-from tests.testing_data.integration_answers import test_integration_value
 from tests.test_utils import DistTestCase, TimedCall, skip_if_quick
+from tests.testing_data.integration_answers import test_integration_value
 
 SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")
 

tests/integration/test_integration_workflows.py

@@ -53,8 +53,8 @@
     ScaleIntensityd,
 )
 from monai.utils import optional_import, set_determinism
-from tests.testing_data.integration_answers import test_integration_value
 from tests.test_utils import DistTestCase, TimedCall, assert_allclose, pytorch_after, skip_if_quick
+from tests.testing_data.integration_answers import test_integration_value
 
 SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")
 

tests/networks/layers/test_grid_pull.py

@@ -20,8 +20,8 @@
 from monai.networks.layers import grid_pull
 from monai.networks.utils import meshgrid_ij
 from monai.utils import optional_import
-from tests.testing_data.cpp_resample_answers import Expected_1D_GP_bwd, Expected_1D_GP_fwd
 from tests.test_utils import skip_if_no_cpp_extension
+from tests.testing_data.cpp_resample_answers import Expected_1D_GP_bwd, Expected_1D_GP_fwd
 
 BType, has_b_type = optional_import("monai._C", name="BoundType")
 PType, has_p_type = optional_import("monai._C", name="InterpolationType")

tests/transforms/test_clip_intensity_percentilesd.py

@@ -18,8 +18,8 @@
 from monai.transforms import ClipIntensityPercentilesd
 from monai.transforms.utils_pytorch_numpy_unification import clip, percentile
 from monai.utils.type_conversion import convert_to_tensor
-from tests.transforms.test_clip_intensity_percentiles import test_hard_clip_func, test_soft_clip_func
 from tests.test_utils import TEST_NDARRAYS, NumpyImageTestCase2D, NumpyImageTestCase3D, assert_allclose
+from tests.transforms.test_clip_intensity_percentiles import test_hard_clip_func, test_soft_clip_func
 
 
 class TestClipIntensityPercentilesd2D(NumpyImageTestCase2D):

tests/transforms/test_flip.py

@@ -21,7 +21,13 @@
 from monai.data.meta_tensor import MetaTensor
 from monai.transforms import Flip
 from tests.lazy_transforms_utils import test_resampler_lazy
-from tests.test_utils import TEST_DEVICES, TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, test_local_inversion
+from tests.test_utils import (
+    TEST_DEVICES,
+    TEST_NDARRAYS_ALL,
+    NumpyImageTestCase2D,
+    assert_allclose,
+    test_local_inversion,
+)
 
 INVALID_CASES = [("wrong_axis", ["s", 1], TypeError), ("not_numbers", "s", TypeError)]
 

tests/transforms/test_flipd.py

@@ -22,7 +22,13 @@
 from monai.data.meta_tensor import MetaTensor
 from monai.transforms import Flipd
 from tests.lazy_transforms_utils import test_resampler_lazy
-from tests.test_utils import TEST_DEVICES, TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, test_local_inversion
+from tests.test_utils import (
+    TEST_DEVICES,
+    TEST_NDARRAYS_ALL,
+    NumpyImageTestCase2D,
+    assert_allclose,
+    test_local_inversion,
+)
 
 INVALID_CASES = [("wrong_axis", ["s", 1], TypeError), ("not_numbers", "s", TypeError)]
 

tests/transforms/test_resize_with_pad_or_cropd.py

@@ -21,8 +21,8 @@
 from monai.data.meta_tensor import MetaTensor
 from monai.transforms import ResizeWithPadOrCropd
 from monai.transforms.lazy.functional import apply_pending
-from tests.transforms.test_resize_with_pad_or_crop import TESTS_PENDING_MODE
 from tests.test_utils import TEST_NDARRAYS_ALL, assert_allclose, pytorch_after
+from tests.transforms.test_resize_with_pad_or_crop import TESTS_PENDING_MODE
 
 TEST_CASES = [
     [{"keys": "img", "spatial_size": [15, 8, 8], "mode": "constant"}, {"img": np.zeros((3, 8, 8, 4))}, (3, 15, 8, 8)],