From 9fc7357e6edc23bf10c80029f1590b0b9691fb44 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 14 Nov 2023 19:21:33 +0000
Subject: [PATCH] Autoupdate pre-commit hooks (#1124)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Autoupdate pre-commit hooks

updates:
- [github.com/psf/black: 23.10.1 → 23.11.0](https://github.com/psf/black/compare/23.10.1...23.11.0)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---
 .pre-commit-config.yaml                     |  2 +-
 docs/examples/plot_include_exclude.py       | 10 +--
 src/torchio/data/image.py                   | 12 ++-
 src/torchio/data/subject.py                 | 10 +--
 src/torchio/datasets/slicer.py              |  8 +-
 tests/data/test_subject.py                  | 84 ++++++++++-----------
 tests/transforms/augmentation/test_oneof.py | 10 +--
 tests/transforms/test_transforms.py         | 22 +++---
 tests/utils.py                              | 14 ++--
 9 files changed, 76 insertions(+), 96 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 3b5cba24c..c6508f2f3 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -21,7 +21,7 @@ repos:
         exclude: setup.cfg
 
   - repo: https://github.com/psf/black
-    rev: 23.10.1
+    rev: 23.11.0
     hooks:
     - id: black
 
diff --git a/docs/examples/plot_include_exclude.py b/docs/examples/plot_include_exclude.py
index bfc8aeb04..9c08b2d91 100644
--- a/docs/examples/plot_include_exclude.py
+++ b/docs/examples/plot_include_exclude.py
@@ -14,11 +14,9 @@
 
 subject = tio.datasets.Pediatric(years=(4.5, 8.5))
 subject.plot()
-transform = tio.Compose(
-    [
-        tio.RandomAffine(degrees=(20, 30), exclude='t1'),
-        tio.RandomBlur(std=(3, 4), include='t2'),
-    ]
-)
+transform = tio.Compose([
+    tio.RandomAffine(degrees=(20, 30), exclude='t1'),
+    tio.RandomBlur(std=(3, 4), include='t2'),
+])
 transformed = transform(subject)
 transformed.plot()
diff --git a/src/torchio/data/image.py b/src/torchio/data/image.py
index 4429a1086..7d8c020c4 100644
--- a/src/torchio/data/image.py
+++ b/src/torchio/data/image.py
@@ -181,13 +181,11 @@ def __init__(
 
     def __repr__(self):
         properties = []
-        properties.extend(
-            [
-                f'shape: {self.shape}',
-                f'spacing: {self.get_spacing_string()}',
-                f'orientation: {"".join(self.orientation)}+',
-            ]
-        )
+        properties.extend([
+            f'shape: {self.shape}',
+            f'spacing: {self.get_spacing_string()}',
+            f'orientation: {"".join(self.orientation)}+',
+        ])
         if self._loaded:
             properties.append(f'dtype: {self.data.type()}')
             natural = humanize.naturalsize(self.memory, binary=True)
diff --git a/src/torchio/data/subject.py b/src/torchio/data/subject.py
index e30760a26..804bda036 100644
--- a/src/torchio/data/subject.py
+++ b/src/torchio/data/subject.py
@@ -273,12 +273,10 @@ def check_consistent_attribute(
                 )
                 if not all_close:
                     message = message.format(
-                        pprint.pformat(
-                            {
-                                first_image: first_attribute,
-                                image_name: current_attribute,
-                            }
-                        ),
+                        pprint.pformat({
+                            first_image: first_attribute,
+                            image_name: current_attribute,
+                        }),
                     )
                     raise RuntimeError(message)
         except TypeError:
diff --git a/src/torchio/datasets/slicer.py b/src/torchio/datasets/slicer.py
index 5ac39abd8..b848d997e 100644
--- a/src/torchio/datasets/slicer.py
+++ b/src/torchio/datasets/slicer.py
@@ -70,8 +70,6 @@ def __init__(self, name='MRHead'):
                 download_root,
                 filename=filename,
             )
-        super().__init__(
-            {
-                stem: ScalarImage(download_root / filename),  # use last filename
-            }
-        )
+        super().__init__({
+            stem: ScalarImage(download_root / filename),  # use last filename
+        })
diff --git a/tests/data/test_subject.py b/tests/data/test_subject.py
index 3336bb674..4bf72d890 100644
--- a/tests/data/test_subject.py
+++ b/tests/data/test_subject.py
@@ -71,52 +71,48 @@ def test_plot_one_image(self):
 
     def test_same_space(self):
         # https://github.com/fepegar/torchio/issues/381
-        affine1 = np.array(
+        affine1 = np.array([
             [
-                [
-                    4.27109375e-14,
-                    -8.71264808e-03,
-                    9.99876633e-01,
-                    -3.39850907e01,
-                ],
-                [
-                    -5.54687500e-01,
-                    -2.71630469e-12,
-                    8.75148028e-17,
-                    1.62282930e02,
-                ],
-                [
-                    2.71575000e-12,
-                    -5.54619070e-01,
-                    -1.57073092e-02,
-                    2.28515784e02,
-                ],
-                [0.00000000e00, 0.00000000e00, 0.00000000e00, 1.00000000e00],
-            ]
-        )
-        affine2 = np.array(
+                4.27109375e-14,
+                -8.71264808e-03,
+                9.99876633e-01,
+                -3.39850907e01,
+            ],
             [
-                [
-                    3.67499773e-08,
-                    -8.71257665e-03,
-                    9.99876635e-01,
-                    -3.39850922e01,
-                ],
-                [
-                    -5.54687500e-01,
-                    3.67499771e-08,
-                    6.73024385e-08,
-                    1.62282928e02,
-                ],
-                [
-                    -3.73318194e-08,
-                    -5.54619071e-01,
-                    -1.57071802e-02,
-                    2.28515778e02,
-                ],  # noqa: B950
-                [0.00000000e00, 0.00000000e00, 0.00000000e00, 1.00000000e00],
-            ]
-        )
+                -5.54687500e-01,
+                -2.71630469e-12,
+                8.75148028e-17,
+                1.62282930e02,
+            ],
+            [
+                2.71575000e-12,
+                -5.54619070e-01,
+                -1.57073092e-02,
+                2.28515784e02,
+            ],
+            [0.00000000e00, 0.00000000e00, 0.00000000e00, 1.00000000e00],
+        ])
+        affine2 = np.array([
+            [
+                3.67499773e-08,
+                -8.71257665e-03,
+                9.99876635e-01,
+                -3.39850922e01,
+            ],
+            [
+                -5.54687500e-01,
+                3.67499771e-08,
+                6.73024385e-08,
+                1.62282928e02,
+            ],
+            [
+                -3.73318194e-08,
+                -5.54619071e-01,
+                -1.57071802e-02,
+                2.28515778e02,
+            ],  # noqa: B950
+            [0.00000000e00, 0.00000000e00, 0.00000000e00, 1.00000000e00],
+        ])
         t = torch.rand(1, 2, 3, 4)
         subject = tio.Subject(
             im1=tio.ScalarImage(tensor=t, affine=affine1),
diff --git a/tests/transforms/augmentation/test_oneof.py b/tests/transforms/augmentation/test_oneof.py
index 49ea2d5f6..3d9f41ba6 100644
--- a/tests/transforms/augmentation/test_oneof.py
+++ b/tests/transforms/augmentation/test_oneof.py
@@ -32,10 +32,8 @@ def test_not_transform(self):
             tio.OneOf({tio.RandomAffine: 1, tio.RandomElasticDeformation: 2})
 
     def test_one_of(self):
-        transform = tio.OneOf(
-            {
-                tio.RandomAffine(): 0.2,
-                tio.RandomElasticDeformation(max_displacement=0.5): 0.8,
-            }
-        )
+        transform = tio.OneOf({
+            tio.RandomAffine(): 0.2,
+            tio.RandomElasticDeformation(max_displacement=0.5): 0.8,
+        })
         transform(self.sample_subject)
diff --git a/tests/transforms/test_transforms.py b/tests/transforms/test_transforms.py
index e07b654de..8132c1cef 100644
--- a/tests/transforms/test_transforms.py
+++ b/tests/transforms/test_transforms.py
@@ -46,12 +46,10 @@ def get_transform(self, channels, is_3d=True, labels=True):
             tio.HistogramStandardization(landmarks_dict),
             elastic,
             tio.RandomAffine(),
-            tio.OneOf(
-                {
-                    tio.RandomAffine(): 3,
-                    elastic: 1,
-                }
-            ),
+            tio.OneOf({
+                tio.RandomAffine(): 3,
+                elastic: 1,
+            }),
             tio.RemapLabels(remapping=remapping, masking_method='Left'),
             tio.RemoveLabels([1, 3]),
             tio.SequentialLabels(),
@@ -283,13 +281,11 @@ def test_non_invertible(self):
     def test_batch_history(self):
         # https://github.com/fepegar/torchio/discussions/743
         subject = self.sample_subject
-        transform = tio.Compose(
-            [
-                tio.RandomAffine(),
-                tio.CropOrPad(5),
-                tio.OneHot(),
-            ]
-        )
+        transform = tio.Compose([
+            tio.RandomAffine(),
+            tio.CropOrPad(5),
+            tio.OneHot(),
+        ])
         dataset = tio.SubjectsDataset([subject], transform=transform)
         loader = torch.utils.data.DataLoader(
             dataset,
diff --git a/tests/utils.py b/tests/utils.py
index fe50dbdcc..b1d7ea5fd 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -23,14 +23,12 @@ def setUp(self):
         random.seed(42)
         np.random.seed(42)
 
-        registration_matrix = np.array(
-            [
-                [1, 0, 0, 10],
-                [0, 1, 0, 0],
-                [0, 0, 1.2, 0],
-                [0, 0, 0, 1],
-            ]
-        )
+        registration_matrix = np.array([
+            [1, 0, 0, 10],
+            [0, 1, 0, 0],
+            [0, 0, 1.2, 0],
+            [0, 0, 0, 1],
+        ])
 
         subject_a = tio.Subject(
             t1=tio.ScalarImage(self.get_image_path('t1_a')),