[pre-commit.ci] pre-commit autoupdate (#7181)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/pre-commit/pre-commit-hooks: f71fa2c1f9cf5cb705f73dffe4b21f7c61470ba9 → v4.4.0](pre-commit/pre-commit-hooks@f71fa2c...v4.4.0)
- [github.com/pre-commit/mirrors-prettier: 50c5478ed9e10bf360335449280cf2a67f4edb7a → v3.0.3](pre-commit/mirrors-prettier@50c5478...v3.0.3)
- https://github.com/charliermarsh/ruff-pre-commit → https://github.com/astral-sh/ruff-pre-commit
- [github.com/astral-sh/ruff-pre-commit: f6346ef27faac608d493bf3926528b308d175d9e → v0.0.292](astral-sh/ruff-pre-commit@f6346ef...v0.0.292)
- [github.com/MarcoGorelli/cython-lint: ee720d6332a996d755b8919de55fc75d408be768 → v0.15.0](MarcoGorelli/cython-lint@ee720d6...v0.15.0)

* '[pre-commit.ci 🤖] Apply code format tools to PR'

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jarrod Millman <[email protected]>

.pre-commit-config.yaml

@@ -3,7 +3,7 @@
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: f71fa2c1f9cf5cb705f73dffe4b21f7c61470ba9 # v4.4.0
+    rev: v4.4.0 # v4.4.0
     hooks:
       - id: trailing-whitespace
       - id: end-of-file-fixer
@@ -16,20 +16,20 @@ repos:
       - id: check-added-large-files
 
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: 50c5478ed9e10bf360335449280cf2a67f4edb7a # v2.7.1
+    rev: v3.0.3 # v2.7.1
     hooks:
       - id: prettier
         files: \.(md|rst|yml|yaml)
         args: [--prose-wrap=preserve]
 
-  - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: f6346ef27faac608d493bf3926528b308d175d9e # v0.0.261
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.0.292 # v0.0.261
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
 
   - repo: https://github.com/MarcoGorelli/cython-lint
-    rev: ee720d6332a996d755b8919de55fc75d408be768 # v0.15.0
+    rev: v0.15.0 # v0.15.0
     hooks:
       - id: cython-lint
         args: [--no-pycodestyle, --max-line-length=88]

skimage/_shared/tests/test_testing.py

@@ -13,7 +13,7 @@ def test_skipper():
     def f():
         pass
 
-    class c():
+    class c:
 
         def __init__(self):
             self.me = "I think, therefore..."

skimage/color/tests/test_colorconv.py

@@ -48,7 +48,7 @@
     from numpy.exceptions import AxisError
 
 
-class TestColorconv():
+class TestColorconv:
 
     img_rgb = data.colorwheel()
     img_grayscale = data.camera()

skimage/feature/tests/test_peak.py

@@ -13,7 +13,7 @@
 np.random.seed(21)
 
 
-class TestPeakLocalMax():
+class TestPeakLocalMax:
     def test_trivial_case(self):
         trivial = np.zeros((25, 25))
         peak_indices = peak.peak_local_max(trivial, min_distance=1)
@@ -498,7 +498,7 @@ def test_input_values_with_labels():
     assert_array_equal(img, img_before)
 
 
-class TestProminentPeaks():
+class TestProminentPeaks:
     def test_isolated_peaks(self):
         image = np.zeros((15, 15))
         x0, y0, i0 = (12, 8, 1)

skimage/feature/tests/test_texture.py

@@ -7,7 +7,7 @@
 from skimage.transform import integral_image
 
 
-class TestGLCM():
+class TestGLCM:
 
     def setup_method(self):
         self.image = np.array([[0, 0, 1, 1],
@@ -203,7 +203,7 @@ def test_uniform_properties(self):
             graycoprops(result, prop)
 
 
-class TestLBP():
+class TestLBP:
 
     def setup_method(self):
         self.image = np.array([[255,   6, 255,   0,  141,   0],
@@ -295,7 +295,7 @@ def test_nri_uniform(self):
         np.testing.assert_array_almost_equal(lbp, ref)
 
 
-class TestMBLBP():
+class TestMBLBP:
 
     def test_single_mblbp(self):
 

skimage/filters/tests/test_thresholding.py

@@ -30,7 +30,7 @@
                                           try_all_threshold)
 
 
-class TestSimpleImage():
+class TestSimpleImage:
     def setup_method(self):
         self.image = np.array([[0, 0, 1, 3, 5],
                                [0, 1, 4, 3, 4],

skimage/io/tests/test_collection.py

@@ -56,7 +56,7 @@ def test_imagecollection_input():
     assert len(images) == 3
 
 
-class TestImageCollection():
+class TestImageCollection:
     pics = [
         fetch('data/brick.png'),
         fetch('data/color.png'),

skimage/measure/tests/test_pnpoly.py

@@ -4,7 +4,7 @@
 from skimage._shared.testing import assert_array_equal
 
 
-class TestNpnpoly():
+class TestNpnpoly:
     def test_square(self):
         v = np.array([[0, 0],
                       [0, 1],

skimage/morphology/tests/test_extrema.py

@@ -19,7 +19,7 @@ def diff(a, b):
     return math.sqrt(t)
 
 
-class TestExtrema():
+class TestExtrema:
 
     def test_saturated_arithmetic(self):
         """Adding/subtracting a constant and clipping"""

skimage/morphology/tests/test_gray.py

@@ -22,7 +22,7 @@ def cell3d_image():
     return np.ascontiguousarray(data.cells3d()[30:48, 0, 20:36, 20:32])
 
 
-class TestMorphology():
+class TestMorphology:
 
     # These expected outputs were generated with skimage v0.12.1
     # using:
@@ -56,7 +56,7 @@ def test_gray_morphology(self):
         assert_equal(expected, calculated)
 
 
-class TestEccentricStructuringElements():
+class TestEccentricStructuringElements:
     def setup_class(self):
         self.black_pixel = 255 * np.ones((4, 4), dtype=np.uint8)
         self.black_pixel[1, 1] = 0

skimage/morphology/tests/test_skeletonize.py

@@ -11,7 +11,7 @@
                                              _generate_thin_luts)
 
 
-class TestSkeletonize():
+class TestSkeletonize:
     def test_skeletonize_no_foreground(self):
         im = np.zeros((5, 5))
         result = skeletonize(im)
@@ -110,7 +110,7 @@ def test_lut_fix(self):
         assert np.all(result == expected)
 
 
-class TestThin():
+class TestThin:
     @property
     def input_image(self):
         """image to test thinning with"""
@@ -160,7 +160,7 @@ def test_lut_generation(self):
         assert_array_equal(g123p, G123P_LUT)
 
 
-class TestMedialAxis():
+class TestMedialAxis:
     def test_00_00_zeros(self):
         '''Test skeletonize on an array of all zeros'''
         result = medial_axis(np.zeros((10, 10), bool))