isort fixing

Signed-off-by: Eric Kerfoot <[email protected]>

Author: ericspod

tests/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/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/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/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/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/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/test_itk_torch_bridge.py

@@ -35,7 +35,13 @@
 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/test_rotate.py

@@ -22,7 +22,13 @@
 from monai.data import MetaTensor, set_track_meta
 from monai.transforms import Rotate
 from tests.lazy_transforms_utils import test_resampler_lazy
-from tests.test_utils import HAS_CUPY, TEST_NDARRAYS_ALL, NumpyImageTestCase2D, NumpyImageTestCase3D, test_local_inversion
+from tests.test_utils import (
+    HAS_CUPY,
+    TEST_NDARRAYS_ALL,
+    NumpyImageTestCase2D,
+    NumpyImageTestCase3D,
+    test_local_inversion,
+)
 
 TEST_CASES_2D: list[tuple] = []
 for p in TEST_NDARRAYS_ALL: