Apply automatic changes

Author: actions-user

fimpy/alignment/reg_from_skimage.py

@@ -247,7 +247,7 @@ def register_translation(
         # Center of output array at dftshift + 1
         dftshift = np.fix(upsampled_region_size / 2.0)
         upsample_factor = np.array(upsample_factor, dtype=np.float64)
-        normalization = src_freq.size * upsample_factor ** 2
+        normalization = src_freq.size * upsample_factor**2
         # Matrix multiply DFT around the current shift estimate
         sample_region_offset = dftshift - shifts * upsample_factor
         cross_correlation = _upsampled_dft(

fimpy/roi_extraction/corr_algorithms.py

@@ -273,7 +273,7 @@ def _jit_flood(
 
     i_roi = 0
 
-    max_r2 = max_radius ** 2
+    max_r2 = max_radius**2
     voxel_size2 = _tuple3_square(voxel_size)
 
     valid = corr_map.copy()

fimpy/utilities.py

@@ -47,7 +47,7 @@ def fast_pearson(x, y):
         s_y += y[i]
         s_x2 += x[i] ** 2
         s_y2 += y[i] ** 2
-    denominator = math.sqrt((s_x2 - (s_x ** 2) / n) * (s_y2 - (s_y ** 2) / n))
+    denominator = math.sqrt((s_x2 - (s_x**2) / n) * (s_y2 - (s_y**2) / n))
     if denominator == 0:
         return 0
     return (s_xy - s_x * s_y / n) / denominator

tests/test_roi_extraction.py

@@ -42,7 +42,7 @@ def test_positive_corr():
         ]
     )
 
-    np.testing.assert_allclose(cm, expected_result, atol=2 / 2 ** 15)
+    np.testing.assert_allclose(cm, expected_result, atol=2 / 2**15)
 
 
 def test_big_vals():
@@ -55,14 +55,14 @@ def test_big_vals():
                 [[255, 255, 255], [0, 255, 255], [0, 0, 0]],
             ]
         )
-        * 2 ** 4
+        * 2**4
     )
 
     cm = correlation_map(video[:, None, :, :], window_size=(1, 3, 3))
 
     result = np.array([[0, 0, 0], [0, 0.375, 0], [0, 0, 0]])[None, :, :]
 
-    assert np.all(np.isclose(cm, result, atol=2 / 2 ** 15))
+    assert np.all(np.isclose(cm, result, atol=2 / 2**15))
 
 
 def test_simple_flood_case():