Ignore autoformatting arrays

scikit-image · Oct 10, 2023 · e7f6abc · e7f6abc
1 parent e3c19c5
commit e7f6abc
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Showing 5 changed files with 12 additions and 4 deletions.
diff --git a/skimage/draw/tests/test_draw.py b/skimage/draw/tests/test_draw.py
@@ -333,6 +333,7 @@ def test_circle_perimeter_aa():
     img = np.zeros((17, 17), 'uint8')
     rr, cc, val = circle_perimeter_aa(8, 8, 7)
     img[rr, cc] = val * 255
+    # fmt: off
     img_ = np.array(
         [[  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
          [  0,   0,   0,   0,   0,  82, 180, 236, 255, 236, 180,  82,   0,   0,   0,   0,   0],
@@ -352,6 +353,7 @@ def test_circle_perimeter_aa():
          [  0,   0,   0,   0,   0,  82, 180, 236, 255, 236, 180,  82,   0,   0,   0,   0,   0],
          [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0]]
     )
+    # fmt: on
     assert_array_equal(img, img_)
 
 

diff --git a/skimage/filters/tests/test_fft_based.py b/skimage/filters/tests/test_fft_based.py
@@ -163,8 +163,8 @@ def test_butterworth_4D_channel(chan, dtype):
 
 def test_butterworth_correctness_bw():
     small = coins()[180:190, 260:270]
-    filtered = butterworth(small,
-                           cutoff_frequency_ratio=0.2)
+    filtered = butterworth(small, cutoff_frequency_ratio=0.2)
+    # fmt: off
     correct = np.array(
         [
             [ 28.63019362, -17.69023786,  26.95346957,  20.57423019, -15.1933463 , -28.05828136, -35.25135674, -25.70376951, -43.37121955, -16.87688457],
@@ -179,6 +179,7 @@ def test_butterworth_correctness_bw():
             [-50.53430811,  12.14152989,  17.69341877,   9.1858496 ,  12.1470914 ,   1.45865179,  61.08961357,  29.76775029, -11.04603619,  24.18621404],
         ]
     )
+    # fmt: on
     assert_allclose(filtered, correct)
 
 

diff --git a/skimage/measure/_marching_cubes_lewiner.py b/skimage/measure/_marching_cubes_lewiner.py
@@ -223,10 +223,12 @@ def _to_array(args):
 #   0
 # 3   1   ->  0x
 #   2         xx
+
+# fmt: off
 EDGETORELATIVEPOSX = np.array([ [0,1],[1,1],[1,0],[0,0], [0,1],[1,1],[1,0],[0,0], [0,0],[1,1],[1,1],[0,0] ], 'int8')
 EDGETORELATIVEPOSY = np.array([ [0,0],[0,1],[1,1],[1,0], [0,0],[0,1],[1,1],[1,0], [0,0],[0,0],[1,1],[1,1] ], 'int8')
 EDGETORELATIVEPOSZ = np.array([ [0,0],[0,0],[0,0],[0,0], [1,1],[1,1],[1,1],[1,1], [0,1],[0,1],[0,1],[0,1] ], 'int8')
-
+# fmt: on
 
 def _get_mc_luts():
     """ Kind of lazy obtaining of the luts.

diff --git a/skimage/segmentation/tests/test_watershed.py b/skimage/segmentation/tests/test_watershed.py
@@ -13,6 +13,7 @@
 from .._watershed import watershed
 
 eps = 1e-12
+# fmt: off
 blob = np.array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
                  [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
                  [255, 255, 255, 255, 255, 204, 204, 204, 204, 204, 204, 255, 255, 255, 255, 255],
@@ -34,7 +35,7 @@
                  [255, 255, 255, 255, 255, 204, 204, 204, 204, 204, 204, 255, 255, 255, 255, 255],
                  [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
                  [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255]])
-
+# fmt: on
 
 def diff(a, b):
     if not isinstance(a, np.ndarray):

diff --git a/skimage/util/tests/test_compare.py b/skimage/util/tests/test_compare.py
@@ -40,8 +40,10 @@ def test_compare_images_checkerboard_default():
     img1 = np.zeros((2**4, 2**4), dtype=np.uint8)
     img2 = np.full(img1.shape, fill_value=255, dtype=np.uint8)
     res = compare_images(img1, img2, method='checkerboard')
+    # fmt: off
     exp_row1 = np.array([0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1.])
     exp_row2 = np.array([1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0., 1., 1., 0., 0.])
+    # fmt: on
     for i in (0, 1, 4, 5, 8, 9, 12, 13):
         assert_array_equal(res[i, :], exp_row1)
     for i in (2, 3, 6, 7, 10, 11, 14, 15):